Mehlman and Li offer a framework for approaching the bioethical issues raised by the military use of genomics that is compellingly grounded in both the contemporary civilian and military ethics of medical research, arguing that military commanders must be bound by the two principles of paternal- ism and proportionality. I agree fully. But I argue here that this is a much higher bar than we may fully realize. Just as the principle of proportionality relies upon a thorough assessment of harms (...) caused and military advantage gained, the use of genomic research, on Mehlman and Li’s view, will require an accurate understanding of the connection between genotypes and phenotypes – accurate enough to ameliorate the risk undertaken by our armed forces in being subject to such research. Recent conceptual work in evolutionary theory and the philosophy of biology, however, renders it doubtful that such knowledge is forthcoming. The complexity of the relationship between genotypic factors and realized traits (the so-called ‘G→P map’) makes the estimation of potential military advantage, as well as potential harm to our troops, incredibly challenging. Such fundamental conceptual challenges call into question our ability to ever satisfactorily satisfy the demands of a sufficiently rigorous ethical standard. (shrink)

A network of gene regulation organized in a hierarchical and combinatorial manner is crucially involved in the development of the neural network, and has to be considered one of the main substrates of genetic change in its evolution. Though qualitative features may emerge by way of the accumulation of rather unspecific quantitative changes, it is reasonable to assume that at least in some cases specific combinations of regulatory parts of the genome initiated new directions of evolution, leading to novel (...) capabilities of the brain. These notions are applied, in this paper, to the evolution of the capability of cognition-based human empa­thy. It is suggested that it has evolved as a secondary effect of the evolution of strategic thought. Development of strategies depends on abstract representations of one’s own pos­sible future states in one’s own brain to allow assessment of their emotional desirability, but also on the representation and emotional evaluation of possible states of others, allowing anticipation of their behaviour. This is best achieved if representations of others are con­nected to one’s own emotional centres in a manner similar to self-representations. For this reason, the evolution of the human brain is assumed to have established representations with such linkages. No group selection is involved, because the quality of strategic thought affects the fitness of the individual. A secondary effect of this linkage is that both the actual states and the future perspectives of others elicit vicarious emotions, which may contribute to the motivations of altruistic behaviour. (shrink)

Current research on the origin of DNA and RNA, viruses, and mobile genetic elements prompts a re-evaluation of the origin and nature of genetic material as the driving force behind evolutionary novelty. While scholars used to think that novel features resulted from random genetic mutations of an individual’s specific genome, today we recognize the important role that acquired viruses and mobile genetic elements have played in introducing evolutionary novelty within the genomes of species. Viral infections and subviral RNAs can enter (...) the host genome and persist as genetic regulatory networks. Persistent viral infections are also important to understand the split between great apes and humans. Nearly all mammals and nonhuman primates rely on olfaction, i.e., chemoreception as the basis of the sense of smell for social recognition, group membership, and the coordination of organized social life. Humans, however, evolved other means to establish social bonding, because several infection waves by endogenous retroviruses caused a loss of odor receptors in human ancestors. The human independence from olfaction for social recognition was in turn one driver of the rather abrupt human transition to dependence on visual information, gesture production, and facial recognition that are at the roots of language-based communication. (shrink)

Criminal offences and regulatory breaches in using social networking evidence in personal injury litigation Pages 2-7 Current Criminal Law ISSN 1758-8405 Volume 2 Issue 3 March 2010 Author SALLY RAMAGE WIPO 900614 UK TM 2401827 USA TM 3,440.910 Orchid ID 0000-0002-8854-4293 Sally Ramage, BA (Hons), MBA, LLM, MPhil, MCIJ, MCMI, DA., ASLS, BAWP. Publisher & Managing Editor, Criminal Lawyer series [1980-2022](ISSN 2049-8047); Current Criminal Law series [2008-2022] (ISSN 1758-8405) and Criminal Law News series [2008-2022] (ISSN 1758-8421). Sweet & Maxwell (...) (Thomson Reuters) (Licensed Annotator of UK Statutes) in Current Law Statutes Annotated, (2006, 2009, 2010 editions) (sole and separate S&M contracts) for 7 UK Criminal Justice Statutes: UK Safeguarding Vulnerable Persons Act 2006; UK International Development Act 2006; UK Fraud Act 2006; UK Policing and Crime Act 2009, UK Local Democracy Act 2009; UK Bribery Act 2010; and UK Crime and Security Act 2010. Trade Mark SALLY RAMAGE ® 2401827 (2005-2025) in the UK, WIPO Trade Mark SALLY RAMAGE® 900164; USA-(Trade Mark 3,440,910) (2008-2028). WARNING: The doing of an unauthorized act in relation to a copyright work may result in both a civil claim for damages and criminal prosecution. Essentially, Social Network information may not always be admissible in a court of law but may be the door to lead to other, non-contentious evidence. In fact, even illegally obtained evidence may sometimes be admissible evidence, though this is not absolute. Most of the information available on social networking sites will be ‘personal data’. The data controller is the network operator, without whose consent, collecting such information could be an offence, unless it was necessary for the purpose of preventing or detecting crime. (shrink)

Natural genome editing from a biocommunicative perspective is the competent agent-driven generation and integration of meaningful nucleotide sequences into pre-existing genomic content arrangements, and the ability to (re-)combine and (re-)regulate them according to context-dependent (i.e. adaptational) purposes of the host organism. Natural genome editing integrates both natural editing of genetic code and epigenetic marking that determines genetic reading patterns. As agents that edit genetic code and epigenetically mark genomic structures, viral and subviral agents have been suggested because they (...) may be evolutionarily older than cellular life. This hypothesis that viruses and viral-like agents edit genetic code is developed according to three well investigated examples that represent key evolutionary inventions in which non-lytic viral swarms act symbiotically in a persistent lifestyle within cellular host genomes: origin of eukaryotic nucleus, adaptive immunity, placental mammals. Additionally an abundance of various RNA elements cooperate in a variety of steps and substeps as regulatory and catalytic units with multiple competencies to act on the genetic code. Most of these RNA agents such as transposons, retroposons and small non-coding RNAs act consortially and are remnants of persistent viral infections that now act as co-opted adaptations in cellular key processes. (shrink)

Biochemical networks are often called upon to illustrate emergent properties of living systems. In this contribution, I question such emergentist claims by means of theoretical work on genetic regulatory models and random Boolean networks. If the existence of a critical connectivity Kc of such networks has often been coined “emergent” or “irreducible”, I propose on the contrary that the existence of a critical connectivity Kc is indeed mathematically explainable in network theory. This conclusion also applies to (...) many other types of formal networks and weakens the emergentist claim attached to bio-molecular networks, and by extension to living systems. (shrink)

Darwinian evolutionary theory has two key terms, variations and biological selection, which finally lead to survival of the fittest variant. With the rise of molecular genetics, variations were explained as results of error replications out of the genetic master templates. For more than half a century, it has been accepted that new genetic information is mostly derived from random error-based events. But the error replication narrative has problems explaining the sudden emergence of new species, new phenotypic traits, and genome innovations (...) as a sudden single event. Meanwhile, it is recognized that errors cannot explain the evolution of genetic information, genetic novelty, and complexity. Now, empirical evidence establishes the crucial role of non-random genetic content editors, such as viruses, diversity generating retroelements, and other RNA networks, to produce new genetic information, complex regulatory control, inheritance vectors, genetic identity, immunity, new sequence space, evolution of complex organisms, and evolutionary transitions. (shrink)

All the conserved detailed results of evolution stored in DNA must be read, transcribed, and translated via an RNAmediated process. This is required for the development and growth of each individual cell. Thus, all known living organisms fundamentally depend on these RNA-mediated processes. In most cases, they are interconnected with other RNAs and their associated protein complexes and function in a strictly coordinated hierarchy of temporal and spatial steps (i.e., an RNA network). Clearly, all cellular life as we know it (...) could not function without these key agents of DNA replication, namely rRNA, tRNA, and mRNA. Thus, any definition of life that lacks RNA functions and their networks misses an essential requirement for RNA agents that inherently regulate and coordinate (communicate to) cells, tissues, organs, and organisms. The precellular evolution of RNAs occurred at the core of the emergence of cellular life and the question remained of how both precellular and cellular levels are interconnected historically and functionally. RNA-networks andRNA-communication can interconnect these levels.With the reemergence of virology in evolution, it became clear that communicating viruses and subviral infectious genetic parasites are bridging these two levels by invading, integrating, coadapting, exapting, and recombining constituent parts in host genomes for cellular requirements in gene regulation and coordination aims. Therefore, a 21st century understanding of life is of an inherently social process based on communicating RNA networks, in which viruses and cells continuously interact. (shrink)

A strong motivation for the human genome project was to relate biological features to the structure and function of small sets of genes, and ideally to individual genes. However, it is now increasingly realized that many problems require a "systems" approach emphasizing the interplay of large numbers of genes, and the involvement of complex networks of gene regulation. This implies a new emphasis on integrative, systems theoretical approaches. It may be called 'holistic' if the term is used without irrational (...) overtones, in the general sense of directing attention to integrated features of organs and organisms. In the history of biology, seemingly conflicting reductionist and holistic notions have alternated, with bottom-up as well as top-down approaches eventually contributing to the solutions of basic problems. By now, there is no doubt that biological features and phenomena are rooted in physico-chemical processes of the molecules involved; and yet, integrated systems aspects are becoming more and more relevant in developmental biology, brain and behavioural science, and socio-biology. -/- . (shrink)

Viruses and related infectious genetic parasites are the most abundant biological agents on this planet. They invade all cellular organisms, are key agents in the generation of adaptive and innate immune systems, and drive nearly all regulatory processes within living cells.

The biomedical literature makes extensive use of the concept of a genetic program. So far, however, the nature of genetic programs has received no satisfactory elucidation from the standpoint of computer science. This unsettling omission has led to doubts about the very existence of genetic programs, on the grounds that gene regulatory networks lack a predetermined schedule of execution, which may seem to contradict the very idea of a program. I show, however, that we can make perfect sense (...) of genetic programs, if only we abandon the preconception that all computers have a von Neumann architecture. Instead, genetic programs instantiate the computational architecture of Post–Newell Production Systems. That is, genetic programs are unordered sets of conditional instructions, instructions that fire independently when their conditions are matched. For illustration I present a paradigm Production System that regulates the functioning of the well-known lac operon of E. coli. On close reflection it turns out that not only genes, but also proteins encode instructions. I propose, therefore, to rename genetic programs to biomolecular programs. Biomolecular and/or genetic programs, and the cellular computers than run them, are to be understood not as von Neumann computers, but as Post–Newell production systems. (shrink)

The term “Complex Systems Biology” was introduced a few years ago [Kaneko, 2006] and, although not yet of widespread use, it seems particularly well suited to indicate an approach to biology which is well rooted in complex systems science. Although broad generalizations are always dangerous, it is safe to state that mainstream biology has been largely dominated by a gene-centric view in the last decades, due to the success of molecular biology. So the one gene - one trait approch, which (...) has often proved to be effective, has been extended to cover even complex traits. This simplifying view has been appropriately criticized, and the movement called systems biology has taken off. Systems biology [Noble, 2006] emphasizes the presence of several feedback loops in biological systems, which severely limit the range of validity of explanations based upon linear causal chains (e.g. gene → behaviour). Mathematical modelling is one the favourite tools of systems biologists to analyze the possible effects of competing negative and positive feedback loops which can be observed at several levels (from molecules to organelles, cells, tissues, organs, organisms, ecosystems). Systems biology is by now a well-established field, as it can be inferred by the rapid growth in number of conferences and journals devoted to it, as well as by the existence of several grants and funded projects.Systems biology is mainly focused upon the description of specific biological items, like for example specific organisms, or specific organs in a class of animals, or specific genetic-metabolic circuits. It therefore leaves open the issue of the search for general principles of biological organization, which apply to all living beings or to at least to broad classes. We know indeed that there are some principles of this kind, biological evolution being the most famous one. The theory of cellular organization also qualifies as a general principle. But the main focus of biological research has been that of studying specific cases, with some reluctance to accept (and perhaps a limited interest for) broad generalizations. This may however change, and this is indeed the challenge of complex systems biology: looking for general principles in biological systems, in the spirit of complex systems science which searches for similar features and behaviours in various kinds of systems. The hope to find such general principles appears well founded, and I will show in Section 2 that there are indeed data which provide support to this claim. Besides data, there are also general ideas and models concerning the way in which biological systems work. The strategy, in this case, is that of introducing simplified models of biological organisms or processes, and to look for their generic properties: this term, borrowed from statistical physics, is used for those properties which are shared by a wide class of systems. In order to model these properties, the most effective approach has been so far that of using ensembles of systems, where each member can be different from another one, and to look for those properties which are widespread. This approach was introduced many years ago [Kauffman, 1971] in modelling gene regulatory networks. At that time one had very few information about the way in which the expression of a given gene affects that of other genes, apart from the fact that this influence is real and can be studied in few selected cases (like e.g. the lactose metabolism in E. coli). Today, after many years of triumphs of molecular biology, much more has been discovered, however the possibility of describing a complete map of gene-gene interactions in a moderately complex organism is still out of reach. Therefore the goal of fully describing a network of interacting genes in a real organism could not be (and still cannot be) achieved. But a different approach has proven very fruitful, that of asking what are the typical properties of such a set of interacting genes. Making some plausible hypotheses and introducing some simplifying assumptions, Kauffman was able to address some important problems. In particular, he drew attention to the fact that a dynamical system of interacting genes displays selforganizing properties which explain some key aspects of life, most notably the existence of a limited number of cellular types in every multicellular organism (these numbers are of the order of a few hundreds, while the number of theoretically possible types, absent interactions, would be much much larger than the number of protons in the universe). In section 3 I will describe the ensemble based approach in the context of gene regulatory networks, and I will show that it can describe some important experimental data. Finally, in section 4 I will discuss some methodological aspects. (shrink)

The Centre for Society and Genomics (CSG) was established in 2004, funded by NGI (the Netherlands Genomics Initiative). Funding was continued in 2008. This report summarises the basic outcomes of almost a decade of interactive societal research, in close collaboration with the other centres of the NGI network. There are two reasons for presenting these results. First of all, at the end of this year, the CSG Next programme (2008-2013), encompassing more than 50 research projects conducted at 10 Dutch universities, (...) will be completed. Moreover, we are currently preparing ourselves for the years to come. The network of principal investigators, together with the research communities they represent and the societal and international networks they are involved in, have agreed to continue to work together, on the basis of mutual learning, transdisciplinary collaboration and collegial support. Notably, we offer our networks, experiences and expertise to help prepare the ground for promoting Responsible Research and Innovation (RRI) in the context of Horizon2020, together with our European colleagues. This report summarises what our type of research can achieve and how we want to continue our activities in the future. After a concise sketch of the life sciences landscape as it has evolved during the past seven decades or so, we explain how CSG came about and what kind of approach we have developed. Subsequently, we list our main results, notably in the form of project vignettes, so as to make the harvest of the CSG Next programme as tangible and concrete as possible. Finally, we explain how we see our role in the future. As is already indicated by the title: this is not merely a retrospective summary of our results (CSG harvest), but an invitation to readers (from academia, industry, policy and civil society) to reassemble and to optimally prepare ourselves for things to come, by strengthening and broadening our collaborative efforts, building on what we have achieved so far. (shrink)

In The Future of Human Nature, Jürgen Habermas raises the question of whether the embryonic genetic diagnosis and genetic modification threatens the foundations of the species ethics that underlies current understandings of morality. While morality, in the normative sense, is based on moral interactions enabling communicative action, justification, and reciprocal respect, the reification involved in the new technologies may preclude individuals to uphold a sense of the undisposability of human life and the inviolability of human beings that is necessary for (...) their own identity as well as for reciprocal relations. Engaging with liberal bioethics and Catholic approaches to bioethics, the article clarifies how Habermas’ position offers a radical critique of liberal autonomy while maintaining its postmetaphysical stance. The essay argues that Habermas’ approach may guide the question of rights of future generations regarding germline gene editing. But it calls for a different turn in the conversation between philosophy and theology, namely one that emphasizes the necessary attention to rights violations and injustices as a common, postmetaphysical starting point for critical theory and critical theology alike. In 2001, Jürgen Habermas published a short book on questions of biomedicine that took many by surprise.[1] To some of his students, the turn to a substantive position invoking the need to comment on a species ethics rather than outlining a public moral framework was seen as the departure from the “path of deontological virtue,”[2] and at the same time a departure from postmetaphysical reason. Habermas’ motivation to address the developments in biomedicine had certainly been sparked by the intense debate in Germany, the European Union, and internationally on human cloning, pre-implantation genetic diagnosis, embryonic stem cell research, and human enhancement. He turned to a strand of critical theory that had been pushed to the background by the younger Frankfurt School in favor of cultural theory and social critique, even though it had been an important element of its initial working programs. The relationship of instrumental reason and critical theory, examined, among others, by Max Horkheimer, Theodor W. Adorno, and Herbert Marcuse and taken up in Habermas’ own Knowledge and Interest and Theory of Communicative Action became ever-more actual with the development of the life sciences, human genome analysis, and genetic engineering of human offspring. Today, some of the fictional scenarios discussed at the end of the last century as “science fiction” have become reality: in 2018, the first “germline gene-edited” children were born in China.[3] Furthermore, the UK’s permission to create so-called “three-parent” children may create a legal and political pathway to hereditary germline interventions summarized under the name of “gene editing.”In this article, I want to explore Habermas’ “substantial” argument in the hope that philosophy and theology become allies in their struggle against an ever-more reifying lifeworld, which may create a “moral void” that would, at least from today’s perspective, be “unbearable”, and for upholding the conditions of human dignity, freedom, and justice. I will contextualize Habermas’ concerns in the broader discourse of bioethics, because only by doing this, his concerns are rescued from some misinterpretations.[1] Jürgen Habermas, The Future of Human Nature.[2] Ibid., 125, fn. 58. 8[3] Up to the present, no scientific publication of the exact procedure exists, but it is known that the scientist, Jiankui He, circumvented the existing national regulatory framework and may have misled the prospective parents about existing alternatives and the unprecedented nature of his conduct. Yuanwu Ma, Lianfeng Zhang, and Chuan Qin, "The First Genetically Gene‐Edited Babies: It's “Irresponsible and Too Early”," Animal Models and Experimental Medicine ; Matthias Braun, Meacham, Darian, "The Trust Game: Crispr for Human Germline Editing Unsettles Scientists and Society," EMBO reports 20, no. 2. (shrink)

Most molecular biological concepts derive from physical chemical assumptions about the genetic code that are basically more than 40 years old. Additionally, systems biology, another quantitative approach, investigates the sum of interrelations to obtain a more holistic picture of nucleotide sequence order. Recent empirical data on genetic code compositions and rearrangements by mobile genetic elements and non-coding RNAs, together with results of virus research and their role in evolution, does not really fit into these concepts and compel a re-examination. In (...) this review we try to find an alternate hypothesis. It seems plausible now that if we look at the abundance of regulatory RNAs and persistent viruses in host genomes, we will find more and more evidence that the key players that edit the genetic codes of host genomes are consortia of RNA agents and viruses that drive evolutionary novelty and regulation of cellular processes in all steps of development. This agent-based approach may lead to a qualitative RNA sociology that investigates and identifies relevant behavioural motifs of cooperative RNA consortia. In addition to molecular biological perspectives this may lead to a better understanding of genetic code evolution and dynamics. (shrink)

We explore Peirce’s pragmatic conception of sign action, as a distributed and emergent view of cognition and exemplify with the emergence of classical ballet. In our approach, semiosis is a temporally distributed process in which a regular tendency towards certain future outcomes emerges out of a history of sign actions. Semiosis self-organizes in time, in a process that continuously entails the production of more signs. Emergence is a ubiquitous condition in this process: the translation of signs into signs cannot be (...) inferred from the properties of the components of a semiotic triad alone, but has to take into account a complex interaction between a micro-semiotic and macro-semiotic level of description. This interaction can be understood as an interplay of potentialities and tendencies, or upward constitutive determinative relations and downward selective determinative relations. According to this view, emergence is a central defining condition of processes of meaning. Ballet is a sign in action. The emergence of classical ballet is a self-regulatory process, in which a system of different kinds of cognitive artifacts (musical, bodily/motor, spatial/architectonic) and agents obtained a stable semiotic relation throughout many phases of development between the 16th and the 19th Century. One case is the development of the verticality of dance in classical ballet as a semiotic relation connecting proscenium arch stages, dancing bodies, and audiences. This development is micro-semiotically determined by the spatial constraints of the proscenium arch stage, and macro-semiotically determined by a historical construction of the dancing body as a sign within a network of semiotic chains, such as the intersemiotic regulation of body of the dancer by principles coming from painting. This is not only the emergence of actual meaning, but also the emergence of an open-ended field of potential and general meanings, an autonomous tendency of development. To say that ballet, as sign action, emerges, is to say that cognitive artifacts such as dancer’s bodies, stages and audience’s point of view, musical compositions, costumes, all sorts of supporting institutions, etc, constitute a niche for sign action, interacting according to tendencies of development that didn’t exist before. (shrink)

Abstract The quasispecies theory is a helpful concept in the explanation of RNA virus evolution and behaviour, with a relevant impact on methods used to fight viral diseases. It has undergone some adaptations to integrate new empirical data, especially the non-deterministic nature of mutagenesis, and the variety of behavioural motifs in cooperation, competition, communication, innovation, integration, and exaptation. Also, the consortial structure of quasispecies with complementary roles of memory genomes of minority populations better fits the empirical data than did the (...) original concept of a master sequence and its mutant spectra. The high productivity of quasispecies variants generates unique sequences that never existed before and will never exist again. In the present essay, we underline that such sequences represent really new ontological entities, not just error copies of previous ones. Their primary unique property, the incredible variant production, is suggested here as quasispecies productivity, which replaces the error-replication narrative to better fit into a new relationship between mankind and living nature in the twenty-first century. (shrink)

Ethical concerns in e-social science are often raised with respect to privacy, confidentiality, anonymity and the ethical and legal requirements that govern research. In this article, the authors focus on ethical aspects of e-research that are not directly related to ethical regulatory framework or requirements. These frameworks are often couched in terms of benefits or harms that can be incurred by participants in the research. The authors shift the focus to the sources of value in terms of which benefits (...) or harms are understood in real social situations. A central claim of this paper is that the technologies that are used for research are not value neutral, but serve to reinforce some values at the expense of others. The authors discuss databases, modelling and simulation, network analysis as examples of technologies which affect the articulation of values. A view of e-social science as a techno-scientific constellation of researchers, technologies and society, in which values are always already embedded, is put forward as a basis for a view of ethics as reflexive and active engagement, conducted with awareness. Methodological pluralism and proactive openness are also proposed as responses to this view of the ethical dimensions of e-social science. (shrink)

This paper addresses global bioethical challenges entailed in emerging viral diseases, focussing on their socio-cultural dimension and seeing them as symptomatic of the current era of globalisation. Emerging viral threats exemplify the extent to which humans evolved into a global species, with a pervasive and irreversible impact on the planetary ecosystem. To effectively address these disruptive threats, an attitude of preparedness seems called for, not only on the viroscientific, but also on bioethical, regulatory and governance levels. This paper analyses (...) the global bioethical challenges of emerging viral threats from a dialectical materialist (Marxist) perspective, focussing on three collisions: (1) the collision of expanding networks of globalisation with local husbandry practices; (2) the collision of global networks of mobility with disrupted ecosystems; and (3) the collision of viroscience as a globalised research field with existing regulatory frameworks. These collisions emerge in a force field defined by the simultaneity of the non-simultaneous. Evidence-based health policies invoke discontent as they reflect the normative logic of a globalised knowledge regime. The development of a global bioethics or macro-ethics requires us to envision these collisions not primarily as issues of benefits and risks, but first and foremost as normative tensions closely entangled with broader socio-economic and socio-cultural developments. (shrink)

Never was dogmatic reductionism helpful in conceiving the phenomenon of life. The post-genomic era has made it clear that genes alone cannot explain the functioning of whole organisms. Already each cell represents a unique, non-recurring individual. Recent progress in developmental biology has conveyed new perspectives both on the makings of individual organisms (ontogeny), as on evolutionary change (Evo-Devo). The genome (the entirety of all genes) of an animal remains constant from fertilization onwards in each cell. The realization of genes (...) requires molecular environments, in particular pertinent to the cytoplasm of the unfertilized egg. Individuality of an organism therefore is not only determined by its genome, but is shaped through developmental processes (it needs time!). Organisms can only exist through mutual interplays with their respective (molecular and cellular) environments at all levels of organization. Thus, life can be conceived of as endless networks of communication, e.g. as a mutual continuum, connecting all individuals, all species and all generations within their given environments. Evolutionarily, nature does not select fitting genes, but rather viable traits. The presented concepts render it unlikely that it was genes that founded our living world, but rather that distinct environments shaped “genes” (of whatever chemical nature) which proved to be “life-suitable”. (shrink)

Democratic transitions of Eastern countries brought about the need to shifting from eastern into western paradigms. Transitioning into western models of media, more specifically to the public system of broadcasting became a prerequisite for achieving the EU status for Eastern European transitioning countries. It has been twelve years since Albania entered the process of transformation from being a State TV towards becoming a Public Television. The article aims to provide a theoretical framework of public television networks in western countries (...) pointing to the pertaining relationships with their political systems. Using this methodology, the article evaluates the developmental process of RTSH, and traces the evolution of certain fundamental laws to determine that political elites have not put forth any efforts to reform laws to establish self-regulatory instruments and guarantee the media independence as a self regulated institution. Despite international recommendations and internal pressures for change, the practices in the area of public network television services have served the private interest of political parliamentary forces. Using the Hallin and Mancini comparative models for media, we established that efforts towards reformation, the changes of Albanian public television are not guided towards a liberal democratic model; instead they resemble a Mediterranean or polarized system. Political arbitration in choosing key institutions that ensure self regulation and the direction of public service broadcasting reflects similarities with the Italian model of Lottizzazione.However, the design of hybrid laws whose structures and functions do not serve public interests, but instead ensure the interest of political elites, is not a formula that guarantees public service broadcasting. By choosing to pursue the old trend of TVSH’s broadcasting methods, politics is channeling the future of public service broadcasting towards a polarizing model. The approach that would allow a liberalization of Public Service Broadcasting, demands a political emancipation and consensus on this particular issue. For now, the sings of consensus are nowhere to be seen, and as such the fate of public service broadcasting remains in a pending status. One of the main consequences in this process, remains the under informed public that is a vital element in a viable democracy. In this case, society becomes the victim of an autocratic system, perpetually stuck in a vicious cycle against democratic interest. (shrink)

One interesting aspect of the Hwang-case has been the way in which this affair was assessed by academic journals such as Nature. Initially, Hwang’s success was regarded as evidence for the detrimental effects of research ethics, slowing down the pace of research in Western countries. Eventually, however, Hwang’s debacle was seen as evidence for the importance of ethics in the life sciences. Ironically, it was concluded that the West maintains its prominence in science (as a global endeavour) precisely because it (...) has its ethics in place. Bioethics was now seen as an indispensable part of quality control. In this article, I will claim that the Hwang case rather reveals that there is no reason for complacency and that there are substantial challenges awaiting us. They have to do with major transformations in the way knowledge is produced and research in the life sciences is conducted (such as the increase in pace and scale, globalisation and the growing importance of ICT and bioinformation). These transformations call for a different kind of bioethics. The focus must shift from duties of autonomous researchers concerning visible research subjects (“micro-ethics”) to responsibilities of institutionalised research networks in managing and processing large amounts of bioinformation (“macro-ethics”). Concepts such as transparency, reliability and benefit-sharing will become more important than concepts such as informed consent. Basically, it is a resurgence of the tension between the Kantian and the Hegelian view of ethics. The contours of macro-ethics will be elaborated notably as it is emerging in bioethical debates over biobanking and genetic databanks. (shrink)

1900 was a remarkable year for science. Several ground-breaking events took place, in physics, biology and psychology. Planck introduced the quantum concept, the work of Mendel was rediscovered, and Sigmund Freud published The Interpretation of Dreams . These events heralded the emergence of completely new areas of inquiry, all of which greatly affected the intellectual landscape of the 20 th century, namely quantum physics, genetics and psychoanalysis. What do these developments have in common? Can we discern a family likeness, a (...) basic affinity between them, so that we can use the one to deepen our understanding of the other? One common denominator is that they open up realms of inquiry that are significantly different from the world of everyday experience, namely the realm of elementary particles, of genes and genomes, and of the unconscious. But to what extent can we meaningfully argue, for instance, that the genome is the biological unconscious, and the unconscious the psychic genome? To address these questions, I will build on the work of two key intellectual figures who have explored the affinities of these developments in depth, namely Erwin Schrödinger (a quantum physicist and avid reader of Schopenhauer who initiated molecular biology) and Jacques Lacan (who reframed the specificity of psychoanalysis with the help of 20 th century science: the era of structural linguistics, but also of quantum physics, molecular biology, bioinformatics and DNA). (shrink)

In this paper I argue that some human reproductive genome editing interventions can be therapeutic in nature, and thus that it is false that all such interventions just create healthy individuals. I do this by showing that the conditions established by a therapy definition are met by certain reproductive genome editing interventions. I then defend this position against two objections: (a) reproductive genome editing interventions do not attain one of the two conditions for something to be a therapy, and (b) (...) some reproductive genome editing interventions are therapeutic but in a nonstandard way. In the Conclusion I call for a more nuanced discussion of the nature of reproductive genome editing interventions. (shrink)

Somatic diversification of antigen receptor genes depends on the activity of enzymes whose homologs participate in a mutagenic DNA repair in unicellular species. Indeed, by engaging error-prone polymerases, gap filling molecules and altered mismatch repair pathways, lymphocytes utilize conserved components of genomic stress response systems, which can already be found in bacteria and archaea. These ancient systems of mutagenesis and repair act to increase phenotypic diversity of microbial cell populations and operate to enhance their ability to produce fit variants (...) during stress. Coopted by lymphocytes, the ancient mutagenic processing systems retained their diversification functions instilling the adaptive immune cells with enhanced evolvability and defensive capacity to resist infection and damage. As reviewed here, the ubiquity and conserved character of specialized variation-generating mechanisms from bacteria to lymphocytes highlight the importance of these mechanisms for evolution of life in general. (shrink)

In this paper, I will present the empirical version of the slippery slope argument (SSA) in the field of genome editing. According to the SSA, if we adopt germline manipulation of embryos we will eventually end up performing or allowing something morally reprehensible, such as new coercive eugenics. I will investigate the actual possibility of sliding towards eugenics: thus, I will examine enhancement and eugenics both in the classical and liberal versions, through the lens of SSA. In the first part, (...) I will discuss the classical eugenics from a historical perspective and conclude that classical eugenics is morally deplorable; but by currently accepting genome editing I argue that it is not possible to ‘slip’ into classical eugenics. Then, I will analyze liberal eugenics: I will consider Habermas’ and Sandel’s objections to liberal eugenics and genetic human enhancement. Subsequently, I will reply to these arguments affirming that, although it is not possible to refuse any form of genetic enhancement, liberal eugenics would not consider the principles of justice, non-maleficence, and non-instrumentalization; hence, it should be considered not morally acceptable. In addition, I will support the thesis according to which the possibility of relapsing into liberal eugenics is more likely than relapsing into classical eugenics. Then, I will present a strategy that, while avoiding falling into the undesirable scenarios related to SSA, still accepts some application of germline genome editing of embryos and gametes. In such a way, I will show that even if we accept the plausibility of a certain slip into an undesirable scenario, SSA does not offer conclusive reasons to forbid any use of germline genome editing technique in both therapeutic and enhancement fields. (shrink)

In this article, network science is discussed from a methodological perspective, and two central theses are defended. The first is that network science exploits the very properties that make a system complex. Rather than using idealization techniques to strip those properties away, as is standard practice in other areas of science, network science brings them to the fore, and uses them to furnish new forms of explanation. The second thesis is that network representations are particularly helpful in explaining the properties (...) of non-decomposable systems. Where part-whole decomposition is not possible, network science provides a much-needed alternative method of compressing information about the behavior of complex systems, and does so without succumbing to problems associated with combinatorial explosion. The article concludes with a comparison between the uses of network representation analyzed in the main discussion, and an entirely distinct use of network representation that has recently been discussed in connection with mechanistic modeling. (shrink)

Cells are cognitive entities possessing great computational power. DNA serves as a multivalent information storage medium for these computations at various time scales. Information is stored in sequences, epigenetic modifications, and rapidly changing nucleoprotein complexes. Because DNA must operate through complexes formed with other molecules in the cell, genome functions are inherently interactive and involve two-way communication with various cellular compartments. Both coding sequences and repetitive sequences contribute to the hierarchical systemic organization of the genome. By virtue of nucleoprotein complexes, (...) epigenetic modifications, and natural genetic engineering activities, the genome can serve as a read-write storage system. An interactive informatic conceptualization of the genome allows us to understand the functional importance of DNA that does not code for protein or RNA structure, clarifies the essential multidirectional and systemic nature of genomic information transfer, and emphasizes the need to investigate how cellular computation operates in reproduction and evolution. (shrink)

In 1990 the Human Genome Project (HGP) was launched as an important historical marker, a pivotal contribution to the time-old quest for human self-knowledge. However, when in 2001 two major publications heralded its completion, it seemed difficult to make out how the desire for self-knowledge had really been furthered by this endeavor (IHGSC 2001; Venter et al. 2001). In various ways mankind seems to stand out from other organisms as a unique type of living entity, developing a critical perspective on (...) its own behavior and consciously engaged in building a complex society of its own making—and therefore increasingly able to determine the conditions of its own evolution. However, this uniqueness is not easily and .. (shrink)

When the Human Genome Project (HGP) was launched, our genome was presented as our ‘blueprint’, a metaphor reflecting a genetic deterministic epistemology. Eventually, however, the HGP undermined rather than strengthened the understanding of genomes as blueprints and of genes as ultimate causal units. A symbolical turning point was the discovery that the human genome only contains 22,500 genes. Initially, this was seen as a narcissistic offence. Gradually, however, it strengthened the shift from traditional genetics and biotechnology (i.e., gene-oriented approaches) to (...) genomics, i.e. genome-oriented or systems approaches, emphasizing complexity. The 20th century can be regarded as the century of biotechnology and of the gene. Its history demonstrated that the will to know (notably: to know ourselves) has never been a disinterested affair: it is driven by a will to improve (notably: to improve ourselves). In this article it is claimed that, as genomics takes us beyond a genetic deterministic understanding of life, this must have consequences for societal research and debate as well. Policies for self-improvement will increasingly rely on the use of complex interpretation. Therefore, the emphasis must shift from issues such as genetic manipulation and human enhancement to issues involved in governance of novel forms of information. (shrink)

The present study examined relationships between chronic regulatory focus and motivation to improve upon academic outcomes in a sample of individuals varying in degree of hopelessness depression (HD) symptoms. Participants recalled a recent negative academic outcome, completed a measure of regulatory focus, reported their subsequent motivation to improve upon future academic outcomes, and then indicated whether their grades on examinations, assignments, and their GPAs had improved or worsened since the described outcome. Results indicate that degree of HD symptoms (...) positively relates to prevention focus and negatively relates to promotion focus, and the negative relationships between HD symptoms and both motivation and performance outcomes are mediated by (lack of) promotion focus. (shrink)

The genomics “revolution” is spreading. Originating in the molecular life sciences, it initially affected a number of biomedical research fields such as cancer genomics and clinical genetics. Now, however, a new “wave” of genomic bioinformation is transforming a widening array of disciplines, including those that address the social, historical and cultural dimensions of human life. Increasingly, bioinformation is affecting “human sciences” such as psychiatry, psychology, brain research, behavioural research (“behavioural genomics”), but also anthropology and archaeology (“bioarchaeology”). Thus, bioinformatics is (...) having an impact on how we define and understand ourselves, how identities are formed and constituted, and, finally, on how we (on the basis of these redefined identities) assess and address some of the more concrete societal issues involved in genomics governance in various settings. This article explores how genomics and bioinformation, by influencing research agendas in the human sciences and the humanities, are affecting our self-image, our identity, the way we see ourselves. The impact of bioinformation on self-understanding will be assessed on three levels: (1) the collective level (the impact of comparative genomics on our understanding of human beings as a species), (2) the individual level (the impact of behavioural genomics on our understanding of ourselves as individuals), and (3) the genealogical level (the impact of population genomics on our understanding of human history, notably early human history). This threefold impact will be assessed from two seemingly incompatible philosophical perspectives, namely a “humanistic” perspective (represented in this article by Francis Fukuyama) and a “post-humanistic” one (represented by Peter Sloterdijk). On the basis of this analysis it will be concluded that, rather than focussing on human “enhancement” by adding or deleting genes, genome-oriented practices of the Self will focus on using genomics information in the context of identity-formation. Genomic bioinformation will increasingly be built into our self-images and used in order to tailor and adapt our practices of Self to our “personalised” genome. We will keep working on ourselves, no doubt, not by modifying our genomes, but rather by fine-tuning our behaviour. What we are experiencing is a bioinformatisation of the life-world. Genomics-based technologies will increasingly pervade our daily lives, our autobiographies and narratives, as well as our anthropologies, rather than our genomes as such. (shrink)

Water quality assessment is critical for environmental sustainability and public health. This research employs neural networks to predict water quality, utilizing a dataset of 21 diverse features, including metals, chemicals, and biological indicators. With 8000 samples, our neural network model, consisting of four layers, achieved an impressive 94.22% accuracy with an average error of 0.031. Feature importance analysis revealed arsenic, perchlorate, cadmium, and others as pivotal factors in water quality prediction. This study offers a valuable contribution to enhancing water (...) quality monitoring and decision-making for stakeholders and policymakers. (shrink)

AbstractSome sharing economy firms have adopted a strategy of “regulatory entrepreneurship,” openly violating regulations with the aim of rendering them dead letters. This article argues that in a democracy, regulatory entrepreneurship is a presumptively unethical business strategy. In all but the most corrupt political environments, businesses that seek to change their regulatory environment should do so through the democratic political process, and they should do so without using illegal business practices to build a political constituency. To show (...) this, the article defends a qualified moral obligation for businesspeople to obey the law even in societies that fall short of ideal democracy and that are rife with economic injustice. Owners and managers of successful businesses have strong moral reasons to obey laws concerning resource allocation. Such laws include not only property law, but also tax laws, environmental regulations, and other laws that regulate businesses in competitive markets. The moral reasons to obey such laws apply even to laws that business leaders think unfair or inefficient, provided that the laws in question have reasonable, good faith defenders. (shrink)

A scientific community can be modeled as a collection of epistemic agents attempting to answer questions, in part by communicating about their hypotheses and results. We can treat the pathways of scientific communication as a network. When we do, it becomes clear that the interaction between the structure of the network and the nature of the question under investigation affects epistemic desiderata, including accuracy and speed to community consensus. Here we build on previous work, both our own and others’, in (...) order to get a firmer grasp on precisely which features of scientific communities interact with which features of scientific questions in order to influence epistemic outcomes. (shrink)

Applied Evolutionary Epistemology is a scientific-philosophical theory that defines evolution as the set of phenomena whereby units evolve at levels of ontological hierarchies by mechanisms and processes. This theory also provides a methodology to study evolution, namely, studying evolution involves identifying the units that evolve, the levels at which they evolve, and the mechanisms and processes whereby they evolve. Identifying units and levels of evolution in turn requires the development of ontological hierarchy theories, and examining mechanisms and processes necessitates theorizing (...) about causality. Together, hierarchy and causality theories explain how biorealities form and diversify with time. This paper analyzes how Applied EE redefines both hierarchy and causality theories in the light of the recent explosion of network approaches to causal reasoning associated with studies on reticulate and macroevolution. Causality theories have often been framed from within a rigid, ladder-like hierarchy theory where the rungs of the ladder represent the different levels, and the elements on the rungs represent the evolving units. Causality then is either defined reductionistically as an upward movement along the strands of a singular hierarchy, or holistically as a downward movement along that same hierarchy. Upward causation theories thereby analyze causal processes in time, i.e. over the course of natural history or phylogenetically, as Darwin and the founders of the Modern Synthesis intended. Downward causation theories analyze causal processes in space, ontogenetically or ecologically, as the current eco-evo-devo schools are evidencing. This work demonstrates how macroevolution and reticulate evolution theories add to the complexity by examining reticulate causal processes in space–time, and the interactional hierarchies that such studies bring forth introduce a new form of causation that is here called reticulate causation. Reticulate causation occurs between units and levels belonging to different as well as to the same ontological hierarchies. This article concludes that beyond recognizing the existence of multiple units, levels, and mechanisms or processes of evolution, also the existence of multiple kinds of evolutionary causation as well as the existence of multiple evolutionary hierarchies needs to be acknowledged. This furthermore implies that evolution is a pluralistic process divisible into different kinds. (shrink)

The cis-regulatory hypothesis is one of the most important claims of evolutionary developmental biology. In this paper I examine the theoretical argument for cis-regulatory evolution and its role within evolutionary theorizing. I show that, although the argument has some weaknesses, it acts as a useful example for the importance of current scientific debates for science education.

Biologists are nearing the creation of the first fully synthetic eukaryotic genome. Does this mean that we still soon be able to create genomes that are parts of an existing genetic lineage? If so, it might be possible to bring back extinct species. But do genomes that are synthetically assembled, no matter how similar they are to native genomes, really belong to the genetic lineage on which they were modelled? This article will argue that they are situated within the same (...) genetic lineage. To see why requires closely examining whether material overlap between parents and offspring is a necessary feature of biological reproduction. The processes used to create synthetic genomes shows that these processes are a form of scaffolded reproduction because they use external machinery and take ownership of the material parts used to create synthetic genomes. Closely examining these processes also reveals, surprisingly, that ‘synthetic reproduction’ can take place between entities that don’t participate in the same biological lineages. 1Introduction2The Argument for Lineage-less Genomes3Synthetic Eukaryotic Chromosomes and Material Overlap4Biological Reproduction, Material, and Information5Synthetic Reproductive Processes and Their Implications. (shrink)

The involvement of the public in the governance of genomics has become a topic of growing interest among scholars, practitioners and policy-makers. The implementation of public involvement programmes may be quite expensive, and the design and evaluation of public participation is a matter of controversy. Thus, this paper examines the justifications for public participation in the governance of genomic research to help understand whether public involvement is worthwhile and to provide a guide to the design of public participation. I (...) identify four primary justifications in support of public involvement. I argue that three of them have serious flaws: neither an increase in the stability of institutions, nor the positive effects on the virtues of individuals, nor the epistemic merits of participatory activities provide a solid ground for the engagement of the public in the governance of genomics. However, the ideal of legitimacy in the exercise of coercive power appears to lend strong support to public involvement programmes. Given that the reasons why public involvement is sought shape the design of the participatory activities, restricting the range of valid justifications promises to simplify the task of designing and evaluating public involvement. (shrink)

In this chapter, I consider three ‘promises’ of bringing phenomenology into dialogue with networked learning. First, a ‘conceptual promise’, which draws attention to conceptual resources in phenomenology that can inspire and inform how we understand, conceive of, and uncover experiences of participants in networked learning activities and environments. Second, a ‘methodological promise’, which outlines a variety of ways that phenomenological methodologies and concepts can be put to use in empirical research in networked learning. And third, a ‘critical promise’, which suggests (...) how work done in the realm of critical phenomenology is complementary to and useful for exploring the social justice and emancipatory aims of networked learning researchers. Through this framework, I reflect upon multiple ways in which phenomenology has and might continue to fruitfully inform and shape networked learning research. In doing so, I emphasise that deploying phenomenology in the context of networked learning not only enriches our understanding of networked learning but that phenomenology itself is enriched through testing, finetuning, and expanding its methods, concepts, and understanding, as well as unveiling its own limitations and constraints. (shrink)

Michael Crichton (1942–2008) was a prolific writer of “science novels”, portraying the psychodynamics and sociodynamics of genomics and other NBIC (Nanotechnology, Biotechnology, Information technology and Cognitive science) fields, fostering critical reflection on their societal dimensions. Science novels may serve as “literary experiments”, as windows into the (future) impacts of current research. Although on the surface level Crichton’s books may be seen as entertaining bestsellers, an in-depth reading allows them to emerge as exploratory exercises, usable as course material for science students. (...) To open up this “deeper” dimension, I read Crichton’s work from a psychoanalytic angle, focusing on typical scenes and themes, such as the idea of a scientific crisis, geneticization and gender role reversal. The core question of a typical Crichton novel usually is: what will happen when a new laboratory research field suddenly comes out into the open? Notably, the gender dimension reflects and exemplifies the fascinations and concerns with contemporary technoscience addressed by him. (shrink)

This year’s topic is “Genomics and Philosophy of Race.” Different researchers might work on distinct subsets of the six thematic clusters below, which are neither mutually exclusive nor collectively exhaustive: (1) Concepts of ‘Race’; (2) Mathematical Modeling of Human History and Population Structure; (3) Data and Technologies of Human Genomics; (4) Biological Reality of Race; (5) Racialized Selves in a Global Context; (6) Pragmatic Consequences of ‘Race Talk’ among Biologists.

Abstract: This research focuses on utilizing Artificial Neural Networks (ANNs) to predict Audit Risk accurately, a critical aspect of ensuring financial system integrity and preventing fraud. Our dataset, gathered from Kaggle, comprises 18 diverse features, including financial and historical parameters, offering a comprehensive view of audit-related factors. These features encompass 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' 'History_score,' 'score,' and 'Risk,' with a total of 774 samples. Our proposed neural network architecture, consisting of (...) three layers (1 input, 1 hidden, and 1 output), forms the core of this study. While it may seem simple, the power of ANNs lies not in complexity but in their ability to uncover intricate data patterns. The model underwent rigorous training and validation, resulting in remarkable outcomes—an accuracy of 100% and an average error rate of 0.000015. In addition to performance metrics, our research investigates feature importance, revealing the key contributors to Audit Risk prediction. Notably, 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' and 'History_score' emerged as the most influential factors, shedding light on the elements crucial for precise risk assessment. This study advances Audit Risk prediction models and highlights the potential of ANNs in strengthening financial system integrity and fraud prevention. The insights gained from our findings offer practical guidance for stakeholders in the audit and financial sectors. (shrink)

The need to better balance the promotion of scientific and technological innovation with risk management for consumer protection has inspired several recent reforms attempting to make regulations more flexible and adaptive. The pharmaceutical sector has a long, established regulatory tradition, as well as a long history of controversies around how to balance incentives for needed therapeutic innovations and protecting patient safety. The emergence of disruptive biotechnologies has provided the occasion for regulatory innovation in this sector. This article investigates (...) the regulation of advanced biotherapeutics in the European Union and shows that it presents several defining features of an adaptive regulation regime, notably institutionalized processes of planned adaptation that allow regulators to gather, generate, and mobilize new scientific and risk evidence about innovative products. However, our in-depth case analysis highlights that more attention needs to be paid to the consequences of the introduction of adaptive regulations, especially for critical stakeholders involved in this new regulatory ecosystem, the capacity and resource requirements placed on them to adapt, and the new tradeoffs they face. In addition, our analysis highlights a deficit in how we currently evaluate the performance and public value proposition of adaptive regulations vis-à-vis their stated goals and objectives. (shrink)

In various documents the view emerges that contemporary biotechnosciences are currently experiencing a scientific revolution: a massive increase of pace, scale and scope. A significant part of the research endeavours involved in this scientific upheaval is devoted to understanding and, if possible, ameliorating humankind: from our genomes up to our bodies and brains. New developments in contemporary technosciences, such as synthetic biology and other genomics and “post-genomics” fields, tend to blur the distinctions between prevention, therapy and enhancement. An important dimension (...) of this development is “biomimesis”: i.e. the tendency of novel technologies and materials to mimic or plagiarize nature on a molecular and microscopic level in order to optimise prospects for the embedding of technological artefacts in natural systems such as human bodies and brains. In this paper, these developments are read and assessed from a psychoanalytical perspective. Three key concepts from psychoanalysis are used to come to terms with what is happening in research laboratories today. After assessing the general profile of the current revolution in this manner, I will focus on a particular case study, a line of research that may serve as exemplification of the vicissitudes of contemporary technosciences, namely viral biomaterials. Viral life forms can be genetically modified (their genomes can be rewritten) in such a manner that they may be inserted in human bodies in order to produce substances at specific sites such as hormones (testosterone), neurotransmitters (dopamine), enzymes (insulin) or bone and muscle tissue. Notably, certain target groups such as top athletes, soldiers or patients suffering from degenerative diseases may become the pioneers serving as research subjects for novel applications. The same technologies can be used for various purposes ranging from therapy up to prevention and enhancement. (shrink)

Since the human genome was decoded, great emphasis has been placed on the unique, personal nature of the genome, along with the benefits that personalized medicine can bring to individuals and the importance of safeguarding genetic privacy. As a result, an equally important aspect of the human genome – its common nature – has been underappreciated and underrepresented in the ethics literature and policy dialogue surrounding genetics and genomics. This article will argue that, just as the personal nature of the (...) genome has been used to reinforce individual rights and justify important privacy protections, so too the common nature of the genome can be employed to support protections of the genome at a population level and policies designed to promote the public's wellbeing. In order for public health officials to have the authority to develop genetics policies for the sake of the public good, the genome must have not only a common, but also a public, dimension. This article contends that DNA carries a public dimension through the use of two conceptual frameworks: the common heritage framework and the common resource framework. Both frameworks establish a public interest in the human genome, but the CH framework can be used to justify policies aimed at preserving and protecting the genome, while the CR framework can be employed to justify policies for utilizing the genome for the public benefit. A variety of possible policy implications are discussed, with special attention paid to the use of large-scale genomics databases for public health research. (shrink)

Volume 19, Issue 7, July 2019, Page 39-40.

ANNOTATION Sardak S.E. Global Regulatory System of Human Resources Development. – Manuscript. Thesis for the Doctor of Economic Science academic degree with major in 08.00.02 – World Economy and international economic relations. – SHEE «Kyiv National Economic University named after Vadym Hetman», Kyiv, 2014. The preconditions and factors of the global economic system with the identified relevant subjects areas and mechanisms of regulation instruments have been investigated. The crucial role of humans in the global economic system as a key (...) factor of production, the main resource, the producer and the consumer of economic and social benefits that are exposed to global threats, problems, challenges, trends and subjects has been confirmed. There have been revealed the causes and consequences of the public institutions transformation under the influence of globalization, which formed a qualitatively new conditions for social and economic development that determine the need for further changes in the areas of conceptual guideline for the management of human resources development, optimization of tasks, state and international institutions activity forms, integration of efforts as for monitoring, planning and forecasting. The modern major instruments and spheres of international cooperation to ensure human development have been determined. The integrated characteristic of human resources and their role in social development both from the standpoint of their use in labour processes and as a medium of civilization and social utility with the help of the categorical classification system organizing and expanding which enables to design and apply the appropriate approaches at all managerial levels have been defined. The necessity and the concept of human resources development in the context of the content of managerial influence identifying (self-development, self-management and external control of development) at different administrative levels that ensures the growth of human capital to the limits of its potential have been analysed. The survey of human activity system aspects in the global world, taking into account the parametrization of the global environment, its structure, management and development have been realized. The formed methodology principles of managerial influence on the development of human resources with scientific schools, hardness degrees, available models, research and providing theoretical and practical implementation peculiarities for groups of countries and territories of the world taken into consideration have been examined. There have been noted civilization and national differences in the forms of managerial influence on the development of human resources, which lead to the formation of human resources development national control systems conditioned by different value public strategic guidelines, especially in relation to social security, education, national management and state migration policy. The current and future requirements for global human resources development which are proposed to be achieved by the development and formalization of global civilizational paradigm of social development due to social coordination interaction have been given. The influence of the institute of state on the human resources development has been evaluated and it has been proved that in the beginning of the XXI century in the global environment the institute of state is the ultimate guarantor of its citizens’ labour ability and vital activity renewal, that makes it the main instrument of managerial influence on human development. The methodology of countries and territories matrix positioning by human development qualitative criteria and population size quantitative parameters which allows to design unified managerial measures as for human resources for similar national economies in the context of global regulatory trends has been proposed. The strategic trends of improvement of human resources development in the national economy, taking into account the differences in the development of human resources in different countries and areas which vary and differ in their focus, content and ways of implementation for such groups. The varying criteria for evaluating the effectiveness of the global impact on human resources development, taking into account the natural, biological, technological, economic, social and management dimensions and the results of human resources development management in social and economic systems at various levels have been revealed. The periodization and the forecast of the global dynamics of human resources development by analyzing and modeling the values of the absolute and relative terms correlation character have been carried out, which enables to make their retrospective and prospective comparison and to find chronological boundaries of qualitatively different periods. The configuration of the human resource development global coordinate system as a set of interrelated principles, components, fields, tools, frameworks, management levels and forms of managerial influence that allows with the help of institutional means to adapt the state of human resources development to a globally varying environment. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...) % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars. (shrink)