El tema de este trabajo es el benchmarking en el sector público. Esta investigación, parte del interés por analizar la importancia que ha cobrado el benchmarking en el sector como herramienta de mejora e innovación de la gestión pública donde los Estados comprometen esfuerzos para conseguir calidad, eficiencia y eficacia en los servicios que presta. En esta lógica se inscribe el principal objetivo, que consiste en realizar aportes y propuestas, para la implementación de herramientas de benchmarking en las dimensiones transversales (...) y regionales del Estado de la Provincia de Buenos Aires. El estudio es exploratorio y descriptivo, emplea una metodología cualitativa que combina un análisis bibliográfico para la elaboración del marco teórico y la definición de los tipos y dimensiones del benchmarking, con la identificación y descripción de experiencias a partir de la evidencia empírica relevada. El punto de partida teórico, se estructura en base a los modelos y enfoques desarrollados por Robert Camp, Michael Spendolini, Rolf Pfeiffer y Fernando Marchitto. Este marco conceptual, permite examinar distintas prácticas institucionales de los niveles subnacional, nacional e internacional. (shrink)

The subject of this book is benchmarking in the public sector and part of the interest is to analyze the importance that benchmarking has acquired in this sector - as a tool for improving and innovating public administration - when states strive for quality, efficiency and effectiveness of the services offered. The study is exploratory and descriptive and uses a qualitative methodology that combines a bibliographic analysis to develop the theoretical framework and the definition of the types and dimensions of (...) benchmarking with the identification and description of the experiences from the empirical data studied. A special chapter discusses the importance, scope and dimensions of product design benchmarking (comparative assessment of product design or industrial design) for government assessment of design and development of new products for micro, small and medium-sized manufacturers. Our approach covers the various policies and measures to support Micro, Small and Medium Industries (MiPyMIs) implemented by sub-national states. (shrink)

The theme of this book is benchmarking in the public sector and part of the interest to analyze the importance that benchmarking has gained in the sector -as a tool for improvement and innovation of public management- where States commit efforts to achieve quality, efficiency and effectiveness in the services it provides. The study is exploratory and descriptive, employing a qualitative methodology that combines a bibliographic analysis for the elaboration of the theoretical framework and the definition of the types and (...) dimensions of benchmarking, with the identification and description of experiences from the empirical evidence surveyed. In a special chapter, the importance, scope and dimensions of benchmarking of product design (comparative evaluation of product design or industrial design) is discussed for the state assessment in design and development of new products for micro, small and medium producers. Our approach includes the different policies and actions to support Micro, Small and Medium Industries (MiPyMIs), which are undertaken from subnational states. RESUMEN. El tema de este libro es el benchmarking en el sector público y parte del interés por analizar la importancia que ha cobrado el benchmarking en el sector –como una herramienta de mejora e innovación de la gestión pública– donde los Estados comprometen esfuerzos para conseguir calidad, eficiencia y eficacia en los servicios que presta. El estudio es exploratorio y descriptivo, emplea una metodología cualitativa que combina un análisis bibliográfico para la elaboración del marco teórico y la definición de los tipos y dimensiones del benchmarking, con la identificación y descripción de experiencias a partir de la evidencia empírica relevada. En un capítulo especial se trata la importancia, alcances y dimensiones del benchmarking of product design (evaluación comparada de diseño de producto o diseño industrial) para el asesoramiento estatal en diseño y desarrollo de nuevos productos a micro, pequeños y medianos productores. Nuestro enfoque comprende a las distintas políticas y acciones de apoyo a las Micro, Pequeñas y Medianas Industrias (MiPyMIs), que se emprenden desde los Estados subnacionales. (shrink)

Initiatives relying on artificial intelligence (AI) to deliver socially beneficial outcomes—AI for social good (AI4SG)—are on the rise. However, existing attempts to understand and foster AI4SG initiatives have so far been limited by the lack of normative analyses and a shortage of empirical evidence. In this Perspective, we address these limitations by providing a definition of AI4SG and by advocating the use of the United Nations’ Sustainable Development Goals (SDGs) as a benchmark for tracing the scope and spread of (...) AI4SG. We introduce a database of AI4SG projects gathered using this benchmark, and discuss several key insights, including the extent to which different SDGs are being addressed. This analysis makes possible the identification of pressing problems that, if left unaddressed, risk hampering the effectiveness of AI4SG initiatives. (shrink)

While it is often said that robotics should aspire to reproducible and measurable results that allow benchmarking, I argue that a focus on benchmarking can be a hindrance for progress in robotics. The reason is what I call the ‘measure-target confusion’, the confusion between a measure of progress and the target of progress. Progress on a benchmark (the measure) is not identical to scientific or technological progress (the target). In the past, several academic disciplines have been led into pursuing (...) only reproducible and measurable ‘scientific’ results – robotics should be careful to follow that line because results that can be benchmarked must be specific and context-dependent, but robotics targets whole complex systems for a broad variety of contexts. While it is extremely valuable to improve benchmarks to reduce the distance be- tween measure and target, the general problem to measure progress towards more intelligent machines (the target) will not be solved by benchmarks alone; we need a balanced approach with sophisticated benchmarks, plus real-life testing, plus qualitative judgment. (shrink)

When the U.S. conducts warfare, elements of a force are drawn from different services and work together as a single team to accomplish an assigned mission. To achieve such unified action, it is necessary that the doctrines governing the actions of members of specific services be both consistent with and subservient to joint Doctrine. Because warfighting today increasingly involves not only live forces but also automated systems, unified action requires that information technology that is used in joint warfare must be (...) aligned with joint doctrine. It requires also that the separate information systems used by the different elements of a joint force must be interoperable, in the sense that data and information that is generated by each element must be usable (understandable, processable) by all the other elements that need them. Currently, such interoperability is impeded by multiple inconsistencies among the different data and software standards used by warfighters. We describe here the on-going project of creating a Joint Doctrine Ontology (JDO), which uses joint doctrine to provide shared computer-accessible content valid for any field of military endeavor, organization, and information system. JDO addresses the two previously mentioned requirements of unified action by providing a widely applicable benchmark for use by developers of information systems that will both guarantee alignment with joint doctrine and support interoperability. (shrink)

The ML community recognizes the importance of anticipating and mitigating the potential negative impacts of benchmark research. In this position paper, we argue that more attention needs to be paid to areas of ethical risk that lie at the technical and scientific core of ML benchmarks. We identify overlooked structural similarities between human IQ and ML benchmarks. Human intelligence and ML benchmarks share similarities in setting standards for describing, evaluating and comparing performance on tasks relevant to intelligence. This enables (...) us to unlock lessons from feminist philosophy of science scholarship that need to be considered by the ML benchmark community. Finally, we outline practical recommendations for benchmark research ethics and ethics review. (shrink)

It is only by fixing on agreed meanings of terms in biomedical terminologies that we will be in a position to achieve that accumulation and integration of knowledge that is indispensable to progress at the frontiers of biomedicine. Standardly, the goal of fixing meanings is seen as being realized through the alignment of terms on what are called ‘concepts’. Part I addresses three versions of the concept-based approach – by Cimino, by Wüster, and by Campbell and associates – and surveys (...) some of the problems to which they give rise, all of which have to do with a failure to anchor the terms in terminologies to corresponding referents in reality. Part II outlines a new, realist solution to this anchorage problem, which sees terminology construction as being motivated by the goal of alignment not on concepts but on the universals (kinds, types) in reality and thereby also on the corresponding instances (individuals, tokens). We outline the realist approach, and show how on its basis we can provide a benchmark of correctness for terminologies which will at the same time allow a new type of integration of terminologies and electronic health records. We conclude by outlining ways in which the framework thus defined might be exploited for purposes of diagnostic decision-support. (shrink)

The importance of education in boosting the manpower of an economy cannot be overemphasized. This critical sector has been bastardized, relegated and put in a dust bin position through paltry figures usually allocated to it by the Federal Government of Nigeria. This paper presents a holistic trend of budgetary activities in Nigeria with a particular focus on the allocation to the Education sector using times series approach from 2009-2018. Two research questions were answered using secondary data gathered from the Central (...) Bank of Nigeria's Statistical Bulletin, 2018. Collected data were analyzed using descriptive statistics, while the results of the analysis showed that, the total allocation to the education sector from 2009 – 2018 is N4,038,115,000,000. The results further revealed a difference of N 10,311,805,000,000 between UNESCO benchmark of 26% and the actual allocation to the education sector for the same time period. It was concluded that the total allocation made to the education sector within the time period of 2009-2018 is generally low, and below the UNESCO benchmark. Based on the findings, it was recommended amongst others that the Federal Government of Nigeria should adequately fund the educational sector by allocating at least 26% of her budget to the education sector as prescribed by UNESCO. (shrink)

The importance of education in boosting the manpower of an economy cannot be overemphasized. This critical sector has been bastardized, relegated and put in a dust bin position through paltry figures usually allocated to it by the Federal Government of Nigeria. This paper presents a holistic trend of budgetary activities in Nigeria with a particular focus on the allocation to the Education sector using times series approach from 2009-2018. Two research questions were answered using secondary data gathered from the Central (...) Bank of Nigeria's Statistical Bulletin, 2018. Collected data were analyzed using descriptive statistics, while the results of the analysis showed that, the total allocation to the education sector from 2009 – 2018 is N4,038,115,000,000. The results further revealed a difference of N 10,311,805,000,000 between UNESCO benchmark of 26% and the actual allocation to the education sector for the same time period. It was concluded that the total allocation made to the education sector within the time period of 2009-2018 is generally low, and below the UNESCO benchmark. Based on the findings, it was recommended amongst others that the Federal Government of Nigeria should adequately fund the educational sector by allocating at least 26% of her budget to the education sector as prescribed by UNESCO. (shrink)

The importance of education in boosting the manpower of an economy cannot be overemphasized. This critical sector has been bastardized, relegated and put in a dust bin position through paltry figures usually allocated to it by the Federal Government of Nigeria. This paper presents a holistic trend of budgetary activities in Nigeria with a particular focus on the allocation to the Education sector using times series approach from 2009-2018. Two research questions were answered using secondary data gathered from the Central (...) Bank of Nigeria's Statistical Bulletin, 2018. Collected data were analyzed using descriptive statistics, while the results of the analysis showed that, the total allocation to the education sector from 2009 – 2018 is N4,038,115,000,000. The results further revealed a difference of N 10,311,805,000,000 between UNESCO benchmark of 26% and the actual allocation to the education sector for the same time period. It was concluded that the total allocation made to the education sector within the time period of 2009-2018 is generally low, and below the UNESCO benchmark. Based on the findings, it was recommended amongst others that the Federal Government of Nigeria should adequately fund the educational sector by allocating at least 26% of her budget to the education sector as prescribed by UNESCO. (shrink)

Since the “last day” of 2019, a new virus emerged in Asia, which in Feb./2020 was called by the World Health Organization (WHO, 2020) as Coronavirus disease (Covid-19). Due to its fast transmission, after eight months since the first global official case, at 23:59 (GMT) on August 31, 2020, the world has accounted for about 25,620,737 new confirmed cases with 854,222 deaths and 17,921,063 recovered cases (WORLDOMETERS, 2020). The pandemic is the newest challenge for all nations, most of them eager (...) to learn from countries that are successful against the virus. However, until now, no methodology was developed to identify them by taking into account a holistic approach with international rankings concerned to health, innovation, sustainability, image, and competitiveness, as well as the estimated real number of fatal cases by one million population during the first 180 days of facing the pandemic. Thus, the main objective is to develop a holistic methodology to identify twenty benchmark countries that are saving people's lives against Covid-19. The research is applied, as its results and recommendations are useful for academy, government policymakers and authorities. It is descriptive, with a qualitative and quantitative approach, based on bibliographic and documentary research, involving the study of official sites, articles, reports, manuals, and other technical documents related to 13 international rankings. As a result, the fifteen phases of the methodology, far from perfect, shows that among 108 well-evaluated countries, the top six benchmark countries are from Asia (1) Vietnam; 2) Taiwan; 3) Thailand; 4) China; 5) Malaysia; 6) Singapore), which suffered from fatal cases from first SARS-CoV in 2002/2003, followed by 7) South Korea; 8) New Zealand; 9) Australia; 10) Japan; 11) Hong Kong; 12) Cyprus; 13) Greece; 14) Latvia; 15) Iceland; 16) the United Arab Emirates; 17) Czech; 18) Lithuania; 19) Norway, and 20) Estonia. (shrink)

Num primeiro momento, por forma a dar palco ao espetáculo dos números e ocasionar a realidade de um módico exemplo daquilo que pode ser um exercício de compilação de dados, ensaiamos uma análise de benchmarking. Num segundo momento, aquilo que se pretendeu foi fixar a memória do Instituto que nos recebeu (doravante referido como IEF) e resgatar episódios relativos à sua constituição; isto, devemo-lo sobretudo a António Manuel Martins. Como resultado, veio a lume uma lacónica narração que permitirá uma leitura (...) sobre os antecedentes e a génese do IEF. Finalmente, antes de expor o tecido de uma secção de desfecho, um Quadro FOFA foi desenhado, retratando o Coro SWOT que conduzimos e que pode ser escutado em anexo. (shrink)

The field of AI has undergone a series of transformations, each marking a new phase of development. The initial phase emphasized curation of symbolic models which excelled in capturing reasoning but were fragile and not scalable. The next phase was characterized by machine learning models—most recently large language models (LLMs)—which were more robust and easier to scale but struggled with reasoning. Now, we are witnessing a return to symbolic models as complementing machine learning. Successes of LLMs contrast with their inscrutability, (...) inaccuracy, and hallucinations, which underwrite concerns over the reliability and trustworthiness of these systems, motivating investigations into commonsense reasoning, AI explainability, and formal verification techniques. Moreover, proper assessments of hybrid machine learning/symbolic systems require novel strategies to facilitate comparisons of performance and guide future AI progress. The EDGeS AAAI 2023 Spring symposium brought together researchers focusing on novel assessments and benchmarks for evaluating hybrid and artificial general intelligence (AGI) systems. This symposium revealed what was already suspected: research concerning evaluation of machine learning/symbolic hybrids and AGI is, unfortunately, lacking. Even so, the discussion was fruitful. (shrink)

Benchmarking automated theorem proving (ATP) systems using standardized problem sets is a well-established method for measuring their performance. However, the availability of such libraries for non-classical logics is very limited. In this work we propose a library for benchmarking Girard's (propositional) intuitionistic linear logic. For a quick bootstrapping of the collection of problems, and for discussing the selection of relevant problems and understanding their meaning as linear logic theorems, we use translations of the collection of Kleene's intuitionistic theorems in the (...) traditional monograph "Introduction to Metamathematics". We analyze four different translations of intuitionistic logic into linear logic and compare their proofs using a linear logic based prover with focusing. In order to enhance the set of problems in our library, we apply the three provability-preserving translations to the propositional benchmarks in the ILTP Library. Finally, we generate a comprehensive set of reachability problems for Petri nets and encode such problems as linear logic sequents, thus enlarging our collection of problems. (shrink)

RESUMO -/- Este estudo aborda a análise econômica e zootécnica de um sistema de criação de gado de corte implementado na Fazenda Escola Lagoa do Sino (FELS), localizada em Buri - SP. O estudo baseou-se em um extenso levantamento de dados obtidos ao longo do ciclo produtivo que se estendeu do final de 2022 até janeiro de 2024. A FELS, com uma área de aproximadamente 21 hectares de pastagens destinada a esta pesquisa, emprega um sistema de manejo composto por dois (...) funcionários. O rebanho, constituído por 14 vacas ½ Nelore e ½ Angus, juntamente com um touro registrado PO da raça taurina Senepol, é alimentado exclusivamente por pastagens de Brachiaria decumbens, complementada por suplementação mineral. A avaliação econômica foi conduzida considerando custos operacionais, resultando em um déficit significativo no primeiro ciclo produtivo, principalmente devido a investimentos iniciais como a aquisição de animais. No entanto, uma análise mais profunda indicou que a otimização dos custos operacionais, especialmente relacionados à mão de obra, poderia reduzir esse déficit para um patamar mais gerenciável, sinalizando uma trajetória de aprimoramento nos ciclos subsequentes. Os índices zootécnicos desempenharam um papel crucial na análise da viabilidade econômica, os resultados foram comparados a benchmarks nacionais e estudos anteriores, revelando pontos fortes, como a taxa de fertilidade das vacas, que superou a média nacional. No entanto, foi identificado um desvio significativo no valor da carne produzida por hectare, indicando a necessidade de uma investigação mais detalhada sobre variáveis específicas do sistema. Diante dos desafios iniciais, a pesquisa conclui que a continuidade do estudo, aliada à implementação de estratégias identificadas para aprimoramento, é essencial para consolidar um sistema eficiente e economicamente viável. A busca contínua por eficiência, revisão de insumos na alimentação, aprimoramento do manejo nutricional e estratégias de gestão de recursos humanos são destacadas como áreas-chave para aprimorar a rentabilidade nos ciclos subsequentes. Sendo assim, a pesquisa contribui não apenas para a compreensão do desempenho econômico do sistema, mas também para a identificação de estratégias práticas que podem ser implementadas para aprimorar a eficiência e a rentabilidade na produção de gado de corte. Palavras-chave: Gado de corte. Viabilidade econômica. Índices zootécnicos. Rentabilidade. Estratégias de gestão. Benchmarking. ABSTRACT This study addresses the economic and zootechnical analysis of a beef cattle farming system implemented at the Lagoa do Sino School Farm (FELS), located in Buri - SP. The study was based on an extensive data collection carried out throughout the productive cycle, spanning from late 2022 to January 2024. FELS, with an area of approximately 21 hectares of pastures dedicated to this research, employs a management system consisting of two employees. The herd, comprised of 14 ½ Nelore and ½ Angus cows, along with a registered Senepol PO breed bull, is exclusively fed on Brachiaria decumbens pastures, supplemented with mineral supplementation. The economic evaluation was conducted considering operational costs, resulting in a significant deficit in the first productive cycle, mainly due to initial investments such as the acquisition of animals. However, a deeper analysis indicated that the optimization of operational costs, especially related to labor, could reduce this deficit to a more manageable level, signaling an improvement trajectory in subsequent cycles. Zootechnical indices played a crucial role in the analysis of economic viability, and the results were compared to national benchmarks and previous studies, revealing strengths such as the fertility rate of cows, which exceeded the national average. However, a significant deviation was identified in the value of meat produced per hectare, indicating the need for a more detailed investigation into specific variables of the system. Facing initial challenges, the research concludes that the continuity of the study, coupled with the implementation of identified improvement strategies, is essential to consolidate an efficient and economically viable system. The ongoing pursuit of efficiency, the review of inputs in feed, improvement of nutritional management, and human resource management strategies are highlighted as key areas to enhance profitability in subsequent cycles. Thus, the research contributes not only to understanding the economic performance of the system but also to identifying practical strategies that can be implemented to improve efficiency and profitability in beef cattle production. Keywords: Beef cattle. Economic viability. Zootechnical indices. Profitability. Management strategies. Benchmarking. -/- REFERÊNCIAS BIBLIOGRÁFICAS -/- COSTA, Fernando Paim et al. Indicadores de desempenho na pecuária de corte: uma revisão no contexto da Plataforma+ Precoce. 2018. COSTA, João Pedro Silva. Avaliação Econômica do Uso de Suplementos Para Novilhos de Corte em Pastejo no Período da Seca. 2023. CRESPOLINI, M. Recorde de abate de novilhas: como isto pode afetar o mercado de reposição? SCOT CONSULTORIA. DA SILVA, Emanuel Isaque Cordeiro. Fertilidade em Vacas Leiteiras: Fisiologia e Manejo. 2022. DA SILVA, Emanuel Isaque Cordeiro. Fisiologia da Reprodução de Bovinos Leiteiros: Aspectos Básicos e Clínicos. Emanuel Isaque Cordeiro da Silva, 2022. DA SILVA, Emanuel Isaque Cordeiro. Manejo Reprodutivo e Índices Zootécnicos em Gado de Leite. 2023. DBO, Portal. Gerar Corte reporta taxa de prenhez média de 51,5% na última estação de monta. 2022. DE ANDRADE, C. M. S. et al. Padrões de desempenho e produtividade animal para recria-engorda de bovinos de corte no Acre. 2005. DE FREITAS, Michel Pedro Vieira; DA COSTA, Caroline Pereira. Diferencial de peso de bezerros desmamas Nelore Convencional e Senepol. Revista JRG de Estudos Acadêmicos, v. 6, n. 13, p. 2396- 2407, 2023. (shrink)

Recent breakthroughs in artificial intelligence have primarily resulted from training deep neural networks (DNNs) with vast numbers of adjustable parameters on enormous datasets. Due to their complex internal structure, DNNs are frequently characterized as inscrutable ``black boxes,'' making it challenging to interpret the mechanisms underlying their impressive performance. This opacity creates difficulties for explanation, safety assurance, trustworthiness, and comparisons to human cognition, leading to divergent perspectives on these systems. This chapter examines recent developments in interpretability methods for DNNs, with a (...) focus on interventionist approaches inspired by causal explanation in philosophy of science. We argue that these methods offer a promising avenue for understanding how DNNs process information compared to merely behavioral benchmarking and correlational probing. We review key interventionist methods and illustrate their application through practical case studies. These methods allow researchers to identify and manipulate specific computational components within DNNs, providing insights into their causal structure and internal representations. We situate these approaches within the broader framework of causal abstraction, which aims to align low-level neural computations with high-level interpretable models. While acknowledging current limitations, we contend that interventionist methods offer a path towards more rigorous and theoretically grounded interpretability research, potentially informing both AI development and computational cognitive neuroscience. (shrink)

Despite growing interest in workplace democracy, the question whether nonworker stakeholders, like suppliers and local communities, warrant inclusion in the governance of democratic companies, as workers do, has been largely neglected. We inspect this question by leaning on the boundary problem in democratic theory. We first argue that the question of who warrants inclusion in democratic workplaces is best addressed by examining why workplace democracy is warranted in the first place, and offer a twofold normative benchmark—addressing objectionable corporate power (...) and upholding efficiency—to assess the principles of democratic inclusion on offer. Against this benchmark, we next argue that the All-Affected Principle is unfit due to its over- and underinclusive extensional results, and that the All-Subjected Principle, whose variants we examine alongside their extensional results, holds more promise when coupled with independent considerations of justice or a constrained variant of the All-Affected Principle. These combinations need not entirely preclude, but speak against, nonworker stakeholder inclusion. (shrink)

Can a person be harmed or wronged by being brought into existence? Can a person be benefited by being brought into existence? Following David Heyd, I refer to these questions as “genethical questions”. This chapter examines three broad approaches to genethics: the no-faults model, the dual-benchmark model, and the parity model. The no-faults model holds that coming into existence is not properly subject to moral evaluation, at least so far as the interests of the person that is to be (...) brought into existence are concerned. The dual benchmark model allows that coming into existence can be subject to moral evaluation, but holds that our judgments about the kinds of lives worth starting ought not be aligned with our judgments about the kinds of lives worth sustaining. I argue against both the no-faults and dual benchmark models. In their place, I argue for a parity approach to genethics, according to which our judgments about the conditions under which life is worth creating ought to be constrained by our judgments about the conditions under which life is worth continuing. (shrink)

Over the last decade, philosophers of science have extensively criticized the epistemic superiority of randomized controlled trials for testing safety and effectiveness of new drugs, defending instead various forms of evidential pluralism. We argue that scientific methods in regulatory decision-making cannot be assessed in epistemic terms only: there are costs involved. Drawing on the legal distinction between rules and standards, we show that drug regulation based on evidential pluralism has much higher costs than our current RCT-based system. We analyze these (...) costs and advocate for evaluating any scheme for drug regulatory tests in terms of concrete empirical benchmarks, like the error rates of regulatory decisions. (shrink)

Artificial models of cognition serve different purposes, and their use determines the way they should be evaluated. There are also models that do not represent any particular biological agents, and there is controversy as to how they should be assessed. At the same time, modelers do evaluate such models as better or worse. There is also a widespread tendency to call for publicly available standards of replicability and benchmarking for such models. In this paper, I argue that proper evaluation ofmodels (...) does not depend on whether they target real biological agents or not; instead, the standards of evaluation depend on the use of models rather than on the reality of their targets. I discuss how models are validated depending on their use and argue that all-encompassing benchmarks for models may be well beyond reach. (shrink)

It is only by fixing on agreed meanings of terms in biomedical terminologies that we will be in a position to achieve that accumulation and integration of knowledge that is indispensable to progress at the frontiers of biomedicine. Standardly, the goal of fixing meanings is seen as being realized through the alignment of terms on what are called ‘concepts’. Part I addresses three versions of the concept-based approach – by Cimino, by Wüster, and by Campbell and associates – and surveys (...) some of the problems to which they give rise, all of which have to do with a failure to anchor the terms in terminologies to corresponding referents in reality. Part II outlines a new, realist solution to this anchorage problem, which sees terminology construction as being motivated by the goal of alignment not on concepts but on the universals (kinds, types) in reality and thereby also on the corresponding instances (individuals, tokens). We outline the realist approach, and show how on its basis we can provide a benchmark of correctness for terminologies which will at the same time allow a new type of integration of terminologies and electronic health records. We conclude by outlining ways in which the framework thus defined might be exploited for purposes of diagnostic decision-support. (shrink)

Traditional medical Artificial Intelligence models, approved for clinical use, restrict themselves to single-modal data e.g. images only, limiting their applicability in the complex, multimodal environment of medical diagnosis and treatment. Multimodal Transformer Models in healthcare can effectively process and interpret diverse data forms such as text, images, and structured data. They have demonstrated impressive performance on standard benchmarks like USLME question banks and continue to improve with scale. However, the adoption of these advanced AI models is not without challenges. While (...) multimodal deep learning models like Transformers offer promising advancements in healthcare, their integration requires careful consideration of the accompanying ethical and environmental challenges. (shrink)

Which premisses should we use to start our inquiries? Which transitions during inquiry should we take next? When should we switch lines of inquiry? In this paper, I address these open questions about inquiry, formulating novel norms for such decisions during deductive reasoning. I use the first-order predicate calculus, in combination with Carnap’s state description framework, to state such norms. Using that framework, I first demonstrate some properties of sets of sentences used in deduction. I then state some norms for (...) decisions made during deductive reasoning, establishing initial benchmarks for efficient deduction by ideal reasoners. When deciding which transition to make next, reasoners should choose the most informative transition, the one that maximally reduces uncertainty in the sense of ruling out the largest number of state descriptions relevant to their inquiry. Finally, inspired by optimal foraging theory, I show that, under certain assumptions of ignorance, reasoners should change premiss sets when their information intake drops below the global average information intake across premiss sets. (shrink)

Digital tracing technologies are heralded as an effective way of containing SARS-CoV-2 faster than it is spreading, thereby allowing the possibility of easing draconic measures of population-wide quarantine. But existing technological proposals risk addressing the wrong problem. The proper objective is not solely to maximise the ratio of people freed from quarantine but to also ensure that the composition of the freed group is fair. We identify several factors that pose a risk for fair group composition along with an analysis (...) of general lessons for a philosophy of technology. Policymakers, epidemiologists, and developers can use these risk factors to benchmark proposal technologies, curb the pandemic, and keep public trust. (shrink)

The current global COVID-19 pandemic has led to a deep and multidimensional crisis across all sectors of society. As countries contemplate their mobility and social-distancing policy restrictions, we have a unique opportunity to re-imagine the deliberative frameworks and value priorities in our food systems. Pre-pandemic food systems at global, national, regional and local scales already needed revision to chart a common vision for sustainable and ethical food futures. Re-orientation is also needed by the relevant sciences, traditionally siloed in their disciplines (...) and without adequate attention paid to how the food system problem is variously framed by diverse stakeholders according to their values. From the transdisciplinary perspective of food ethics, we argue that a post-pandemic scheme focused on bottom-up, regional, cross-sectoral and non-partisan deliberation may provide the re-orientation and benchmarks needed for not only more sustainable, but also more ethical food futures. (shrink)

Initially the problems of data integration, for example in the field of medicine, were resolved in case by case fashion. Pairs of databases were cross-calibrated by hand, rather as if one were translating from French into Hebrew. As the numbers and complexity of database systems increased, the idea arose of streamlining these efforts by constructing one single benchmark taxonomy, as it were a central switchboard, into which all of the various classification systems would need to be translated only once. (...) By serving as a lingua franca for database integration this benchmark taxonomy would ensure that all databases calibrated in its terms would be automatically compatible with each other. We describe one strategy for creating such a lingua franca, in which philosophical ontology plays a central role. (shrink)

The Covid-19 pandemic has brought to surface new and puzzling manifestations of the culture wars between liberals and conservatives, especially in the US. One such manifestation is the one centered around mask-wearing as a way to protect others from viral infection. In public spaces, mask-wearing has become a signal as to whether one is a liberal or a conservative. Liberals tend to wear the mask and condemn as immoral conservatives, who tend not to wear it. I argue that the liberal (...) attitude does not cohere with liberal theory. I use the issue of the permissibility of abortion and the liberal consensus about it as the benchmark for what a genuine liberal attitude toward mask-wearing should be. (shrink)

The right to food is recognized as a basic right under international human rights law. The lack of implementation of the right is a challenge for societies around the world. The failures in implementation are leading stakeholder's to strongly advance more appropriate standards vis-a-vis the right to food. The concept of food sovereignty for instance has gained importance in this regard. The concept of food sovereignty is interpreted to be larger in scope than the right to food. Food sovereignty is (...) not limited to the making "provision" of food to the beneficiaries by the state. In addition, it also mandates the empowerment of communities by the adoption of policies to secure land, food production and consumption, etc. -/- In 2010, the UN Special Rapporteur on the Right to Food recognized the wider import of the right to food based on the concept of food sovereignty. The Rapporteur emphasised on the provision of land for instance as essential to right to food. The acceptance of food sovereignty as a benchmark for state performance is one of the most notable developments in the field of economic, social and cultural rights. This chapter discusses the role of the concept of food sovereignty, and how it is shaping international and domestic policy frameworks. (shrink)

Over the past few years we have seen an increasing number of legal proceedings related to inappropriately implemented technology. At the same time career paths have diverged from the foundation of statistics out to Data Scientist, Machine Learning and AI. All of these new branches being fundamentally branches of statistics and mathematics. This has meant that formal training has struggled to keep up with what is required in the plethora of new roles. Mathematics as a taught subject is still based (...) in decades old teaching specifications and has not been updated centrally as a curriculum to include new technologies, coding or ethics. This subject area is firmly split between ICT and Mathematics in secondary school, continuing on to be split between Computer Science and Mathematics at University. As we move forwards with technology we see these once seperate fields becoming increasingly intertwined. We propose that existing provision for concepts such as ethics and societal responsibility in analysis currently exist but have not been incorporated into the mainstream curriculum of School or University. This is partially due to the split between fields in an educational setting but also the speed with which education is able to keep up with Industry and its requirements. Principles and frameworks of socially responsible modelling beginning at school level means that ethics and real-life modelling are introduced much earlier than normal. Integrating these concepts with philosophical principles of society and politics ensures a suitable background for future modellers and users of technology to draw on. Modelling is currently undertaken in technical sciences at University but the Subject Benchmark Statements are not current (Subject Benchmark Statements describe the nature of study and the academic standards expected of graduates in specific subject areas. They show what graduates might reasonably be expected to know, do and understand at the end of their studies). Even in 2019 the UK did not yet have Benchmark Statements that discuss the learning to be done in Higher Education around AI and advanced Machine Learning. Where there is provision for AI and Data Science within degree courses ethics is not generally highlighted as a key concept. As such there can be a lack of focus on the teaching of modelling or ethics as specific skills. The skills required to use a basic statistical model, for example would not be sufficient to start from scratch and build an ethical model reflecting real-world scenarios with which to inform policy or organisational decision making. This is a skill in itself and includes such aspects as awareness of data quality, ethics, user implementation problems, context and an understanding of the environment that the model is being created in. As the field of analytics has progressed so quickly in the last decade modules such as those covering AI have simply been bolted on to Maths or Computing degrees rather than being fully detailed as key areas of study or driving new, more integrated courses of study. This paper posits that gaps at primary, secondary and tertiary educational levels need to be addressed. Implementing and integrating key concepts from school level is essential so that areas such as assumptions, caveats, quality assurance and answering the right questions with constructive challenge become a cultural fixture. This not only helps developers of technology but users of rapidly developing technology also. In addition, leadership and soft skills as part of this education will ensure that a cultural shift can take place and promote continuous improvement in analysis within organisations. The addition of key concepts throughout the educational system and the updating of potentially outdated curriculums is key to ensuring a functional society. A society where every citizen is a user of tech and those that develop it can be ethical and socially responsible in its development. (shrink)

A number of philosophers argue that because of its history of systematic disagreement, philosophy has made little to no epistemic progress – especially in comparison to the hard sciences. One argument for this conclusion contends that the best explanation for systematic disagreement in philosophy is that at least some, potentially all, philosophers are unreliable. Since we do not know who is reliable, we have reason to conclude that we ourselves are probably unreliable. Evidence of one’s potential unreliability in a domain (...) purportedly defeats any first-order support one has for any judgments in that domain. This paper defends philosophy. First, accepting that science is rightfully treated as the benchmark of epistemic progress, I contend that a proper conception of epistemic progress highlights that philosophy and science are relevantly similar in terms of such progress. Secondly, even granting that systematic disagreement is a mark of unreliability and that it does characterize philosophy, this paper further argues that evidence of unreliability is insufficient for meta-level, domain-wide, defeat of philosophical judgments more generally. (shrink)

This paper describes a cubic water tank equipped with a movable partition receiving various amounts of liquid used to represent joint probability distributions. This device is applied to the investigation of deductive inferences under uncertainty. The analogy is exploited to determine by qualitative reasoning the limits in probability of the conclusion of twenty basic deductive arguments (such as Modus Ponens, And-introduction, Contraposition, etc.) often used as benchmark problems by the various theoretical approaches to reasoning under uncertainty. The probability bounds (...) imposed by the premises on the conclusion are derived on the basis of a few trivial principles such as "a part of the tank cannot contain more liquid than its capacity allows", or "if a part is empty, the other part contains all the liquid". This stems from the equivalence between the physical constraints imposed by the capacity of the tank and its subdivisions on the volumes of liquid, and the axioms and rules of probability. The device materializes de Finetti's coherence approach to probability. It also suggests a physical counterpart of Dutch book arguments to assess individuals' rationality in probability judgments in the sense that individuals whose degrees of belief in a conclusion are out of the bounds of coherence intervals would commit themselves to executing physically impossible tasks. (shrink)

The classification system was evaluated using benchmark phishing datasets, and the results demonstrated a significant improvement in detection accuracy and reduced false positives. The proposed model outperformed traditional machine learning algorithms, showing promise for real-world deployment in phishing detection systems. We conclude with suggestions for future improvements, such as incorporating more behavioral data and deploying the system in realtime monitoring applications.

Bayesian cognitive science is a research programme that relies on modelling resources from Bayesian statistics for studying and understanding mind, brain, and behaviour. Conceiving of mental capacities as computing solutions to inductive problems, Bayesian cognitive scientists develop probabilistic models of mental capacities and evaluate their adequacy based on behavioural and neural data generated by humans (or other cognitive agents) performing a pertinent task. The overarching goal is to identify the mathematical principles, algorithmic procedures, and causal mechanisms that enable cognitive agents (...) to take uncertainty into account and weigh it appropriately in producing adaptive behaviour. -/- The appeal of Bayesian cognitive science derives from its transparency, normativity, and unifying power. Resources from Bayesian statistics allow cognitive scientists to characterise transparently, in terms of random variables and probabilistic dependencies between them, the inductive problems that many mental capacities are presumed to solve. Given this characterisation, researchers can define an upper bound on one’s performance on that problem and use it as a benchmark for interpreting experimental results, formulating hypotheses about why and when deviations from optimal performance should be expected, and seeking explanations of mental capacities within one encompassing theoretical framework. -/- Although critics question the testability, explanatory power, and plausibility of Bayesian models of mental capacities, Bayesian cognitive science has proved itself to be an incredibly fruitful research programme. Fuelled by empirical and theoretical results from psychology, neuroscience, philosophy, computer science, artificial intelligence, and evolution, Bayesian cognitive science has: advanced our understanding of why cognitive systems should keep track of uncertainty and use it to facilitate adaptive behaviour; clarified how the brain might encode information about the uncertainty of its stimuli and perform computations with probability distributions; and crystallised the insight that cognitive agents’ management of uncertainty might be grounded in predictive processes aimed at avoiding surprising exchanges with the environment. (shrink)

We defend, from a contractarian perspective, that the fair price of an insurance policy is the amount that the contracting parties agree when they are both equally uncertain about the insured event. Drawing on the approach developed by R. Sugden in _The Community of Advantage_, we answer two standard objections raised against contractarianism in the actuarial sciences: (1) people are not wise enough to assess their actuarial risks; (2) they are not rational enough to decide which insurance policy suits them (...) better. We show under which circumstances people can make fair actuarial agreements, without presupposing any objective risk or rationality benchmarks. (shrink)

This review essay of Economics Rules situates Dani Rodrik’s contribution with respect to the 2007–2008 global economic crisis. This financial meltdown, which the eurozone did not fully recover from before the Covid-19 pandemic, led to soul- searching among economists as well as a call for heterodox economic approaches. Yet, over the past decade, instead the economics profession has maintained its orthodoxy. Rodrik’s Economics Rules offers a critique of the economics profession that is castigating but mild. It calls for economists to (...) use more and diverse models without becoming wedded to any single model or an overarching vision. Yet Rodrik ratifies many of the benchmark models standard to orthodox economics and provides little ground for a fundamental rethinking of the discipline. This essay analyses the conservatism underlying Rodrik’s approach, which upholds general equilibrium theory and rational expectations underlying the efficient market hypothesis. It argues that the economics discipline’s scope-creep to maintain its applicability to all human decision-making, and its acceptance of all-inclusive utility functions, crowds out moral sentiments and civic virtue. Thus. it argues that rather than urging economists simply to be more cautious in their application of models to address particular social concerns, instead economists must recognise their discipline’s inherent limitations. (shrink)

Ontologies are being ever more commonly used in biomedical informatics and we provide a survey of some of these uses, and of the relations between ontologies and other terminology resources. In order for ontologies to become truly useful, two objectives must be met. First, ways must be found for the transparent evaluation of ontologies. Second, existing ontologies need to be harmonised. We argue that one key foundation for both ontology evaluation and harmonisation is the adoption of a realist paradigm in (...) ontology development. For science-based ontologies of the sort which concern us in the eHealth arena, it is reality that provides the common benchmark against which ontologies can be evaluated and aligned within larger frameworks. Given the current multitude of ontologies in the biomedical domain the need for harmonisation is becoming ever more urgent. We describe one example of such harmonisation within the ACGT project, which draws on ontology-based computing as a basis for sharing clinical and laboratory data on cancer research. (shrink)

The use of language models in Web applications and other areas of computing and business have grown significantly over the last five years. One reason for this growth is the improvement in performance of language models on a number of benchmarks — but a side effect of these advances has been the adoption of a “bigger is always better” paradigm when it comes to the size of training, testing, and challenge datasets. Drawing on previous criticisms of this paradigm as applied (...) to large training datasets crawled from pre-existing text on the Web, we extend the critique to challenge datasets custom-created by crowdworkers. We present several sets of criticisms, where ethical and scientific issues in language model research reinforce each other: labour injustices in crowdwork, dataset quality and inscrutability, inequities in the research community, and centralized corporate control of the technology. We also present a new type of tool for researchers to use in examining large datasets when evaluating them for quality. (shrink)

Evolutionary economics often focuses on the comparison between economic competition and the process of natural selection to select the fitter members of a given population. But that neglects the other "half" of an evolutionary process, the mechanism for the generation of new possibilities that is key to dynamic efficiency. My topic is the process of parallel experimentation which I take to be a process of multiple experiments running concurrently with some form of common goal, with some semi-isolation between the experiments, (...) with benchmarking comparisons made between the experiments, and with the "migration" of discoveries between experiments wherever possible to ratchet up the performance of the group. The thesis is that parallel experimentation is a fundamental dynamic efficiency scheme to enhance and accelerate variation, innovation, and learning in contexts of genuine uncertainty or known ignorance. Within evolutionary biology, this type of parallel experimentation scheme was developed in Sewall Wright's shifting balance theory of evolution. It addressed the rather neglected topic of how a population on a low fitness peak might eventually be able to go "downhill" against selective pressures, traverse a valley of low fitness, and then ascend a higher fitness peak. The theme of parallel experimentation is used to recast and pull together dynamic and pluralistic theories in economics, political theory, philosophy of science, and social learning. (shrink)

The question I want to answer is if and how the recognition approach, taken from the works of Axel Honneth, could be an adequate framework for addressing the problems of global justice and poverty. My thesis is that such a globalization of the recognition approach rests on the dialectic of relative and absolute elements of recognition. (1) First, I will discuss the relativism of the recognition approach, that it understands recognition as being relative to a certain society or a set (...) of institutions. The same is true for various forms of disrespect such as denigration or exclusion. The recognition approach is a form of internal reconstructive critique, which does not want to refer to absolute or ahistorical standards. (2) Second, I show that this relative understanding of recognition and disrespect rests on an absolute core of recognition, which transcends any given society. In short, this core is the possibility of undistorted self-realization, which is the main and universal element of a good life. Such an absolute core is necessary for distinguishing between justified and unjustified claims of relative recognition. It also serves as the normative benchmark for any society. (3) Finally, I will discuss the relation of these relative and absolute elements of recognition against the background of global justice. Claims of recognition can refer to this absolute core and demand that intersubjective conditions and social relations should change in order to make undistorted self-realization possible. This is the main point of reference for a recognition-based concept of global justice. (shrink)

With the proliferation of sophisticated cyber threats, traditional malware detection techniques are becoming inadequate to ensure robust cybersecurity. This study explores the integration of deep learning (DL) techniques into malware detection systems to enhance their accuracy, scalability, and adaptability. By leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, this research presents an intelligent malware detection framework capable of identifying both known and zero-day threats. The methodology involves feature extraction from static, dynamic, and hybrid malware datasets, followed by (...) training DL models to classify malicious and benign software with high precision. A robust experimental setup evaluates the framework using benchmark malware datasets, yielding a 96% detection accuracy and demonstrating resilience against adversarial attacks. Real-time analysis capabilities further improve response times, reducing the risk of potential damage. The study also incorporates visualization tools to provide interpretable insights into model decisions, enhancing transparency for cybersecurity practitioners. Concluding with a discussion on the challenges and future prospects, this research paves the way for scalable, AI-driven solutions to combat evolving cyber threats. (shrink)

The reemergence of the question of suicide in the medical context of physician-assisted suicide seems to me one of the most interesting and fertile facets of late modernity. Aside from the disruption which this issue may cause in the traditional juridical relationship between individuals and the state, it may also help to transform the dominant conception of subjectivity that has been erected upon modernity's medicalized order of death. To enhance this disruptive potential, I am going to examine the perspectives on (...) death offered by two contemporary writers: Zygmunt Bauman and Jean Baudrillard. Each of these writers recognizes the centrality of death to modern culture, as Heidegger did, but they also go beyond him in specifying the ways in which death maintains a presence in late modernity, despite efforts to conceal it. In particular, both of these writers recognize the important role that medicine has played in ordering the modern conception of death. After situating these two perspectives in relation to each other, and in relation to Heidegger, who will serve here as a sort of benchmark, I will return to the issue of suicide. Given the differences in their readings of the role that death and medicine play in modern culture, these post-Heideggerians take strikingly different positions on this issue. By engaging these perspectives, I intend not only to point out the tremendous potential which this issue holds for a fundamental rethinking of modern subjectivity, but also reveal some of the dangers that may beset any naive optimism about the right to die. (shrink)

The application of artificial intelligence (AI) to judicial decision-making has already begun in many jurisdictions around the world. While AI seems to promise greater fairness, access to justice, and legal certainty, issues of discrimination and transparency have emerged and put liberal democratic principles under pressure, most notably in the context of bail decisions. Despite this, there has been no systematic analysis of the risks to liberal democratic values from implementing AI into judicial decision-making. This article sets out to fill this (...) void by identifying and engaging with challenges arising from artificial judicial decision-making, focusing on three pillars of liberal democracy, namely equal treatment of citizens, transparency, and judicial independence. Methodologically, the work takes a comparative perspective between human and artificial decision-making, using the former as a normative benchmark to evaluate the latter. -/- The chapter first argues that AI that would improve on equal treatment of citizens has already been developed, but not yet adopted. Second, while the lack of transparency in AI decision-making poses severe risks which ought to be addressed, AI can also increase the transparency of options and trade-offs that policy makers face when considering the consequences of artificial judicial decision-making. Such transparency of options offers tremendous benefits from a democratic perspective. Third, the overall shift of power from human intuition to advanced AI may threaten judicial independence, and with it the separation of powers. While improvements regarding discrimination and transparency are available or on the horizon, it remains unclear how judicial independence can be protected, especially with the potential development of advanced artificial judicial intelligence (AAJI). Working out the political and legal infrastructure to reap the fruits of artificial judicial intelligence in a safe and stable manner should become a priority of future research in this area. (shrink)

Dewey’s notion of second nature is strictly connected with that of habit. I reconstruct the Hegelian heritage of this model and argue that habit qua second nature is understood by Dewey as a something which encompasses both the subjective and the objective dimension – individual dispositions and features of the objective natural and social environment.. Secondly, the notion of habit qua second nature is used by Dewey both in a descriptive and in a critical sense and is as such a (...) dialectical concept which connects ‘impulse’ and ‘habit’, ‘original’ or ‘native’ and ‘acquired’ nature, ‘first’ and ‘second nature’. Thirdly, the ethical model of second nature as habituation and the aesthetic model of second nature as art are for Dewey not opposed to one another, since by distinguishing ‘routine’ and ‘art’ as two modes of habit, he makes space for an expressive and creative notion of second nature. Finally, I argue that the expressive dialectics of habit formation plays a crucial role in Dewey’s critical social philosophy and that first and second nature operate as benchmark concepts for his diagnosis of social pathologies. (shrink)

With the proliferation of sophisticated cyber threats, traditional malware detection techniques are becoming inadequate to ensure robust cybersecurity. This study explores the integration of deep learning (DL) techniques into malware detection systems to enhance their accuracy, scalability, and adaptability. By leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, this research presents an intelligent malware detection framework capable of identifying both known and zero-day threats. The methodology involves feature extraction from static, dynamic, and hybrid malware datasets, followed by (...) training DL models to classify malicious and benign software with high precision. A robust experimental setup evaluates the framework using benchmark malware datasets, yielding a 96% detection accuracy and demonstrating resilience against adversarial attacks. Real-time analysis capabilities further improve response times, reducing the risk of potential damage. (shrink)

Investigators increasingly need high quality face photographs that they can use in service of their scholarly pursuits—whether serving as experimental stimuli or to benchmark face recognition algorithms. Up to now, an index of known face databases, their features, and how to access them has not been available. This absence has had at least two negative repercussions: First, without alternatives, some researchers may have used face databases that are widely known but not optimal for their research. Second, a reliance on (...) databases comprised only of young white faces will lead to science that isn't representative of all the people whose tax contributions, in many cases, make that research possible. The “Face Image Meta-Database” (fIMDb) provides researchers with the tools to find the face images best suited to their research, with filters to locate databases with people of a varied racial and ethnic backgrounds and ages. Problems of representation in face databases are not restricted to race and ethnicity or age – there is a dearth of databases with faces that have visible differences (e.g., scars, port wine stains, and cleft lip and palate). A well-characterized database is needed to support programmatic research into perceivers' attitudes, behaviors, and neural responses to anomalous faces. The “ChatLab Facial Anomaly Database” (CFAD) was constructed to fill this gap, with photographs of faces with visible differences of various types, etiologies, sizes, locations, and that depict individuals from various ethnic backgrounds and age groups. Both the fIMDb and CFAD are available from cliffordworkman[dot]com/resources/. (shrink)

O Agreste de Pernambuco é conhecido como a bacia leiteira do estado, por possuir não apenas um efetivo bovino leiteiro significativo, mas por apresentar características edafoclimáticas que tornaram possível o desenvolvimento da atividade leiteira. Entretanto, uma vez que possui um clima Semiárido, o cruzamento de raças taurinas com zebuínas é de suma importância, logo, um dos métodos de cruzamento mais abrangente e expressivo no estado é acasalar touro holandês PO com vacas Gir, obtendo F1 ½ HG, que são acasaladas com (...) touro holandês PO, obtendo-se F2 ¾ H + ¼ G, que são os animais de maior efetivo na região. Esse tipo de cruzamento foi essencial para manter o gado produtivo em situações de escassez alimentar e enfrentamento de secas, uma das características inerentes da região. Mesmo com um gado cruzado com bons índices zootécnicos, muitas propriedades não realizam um manejo de administração básica do rebanho como, por exemplo, uma escrituração zootécnica, tampouco um controle leiteiro para descarte de vacas com baixa produção, repetidoras de estro, secas, vazias etc. Essa escassez de informações do rebanho configura a região da bacia leiteira como uma região em que as vacas possuem potencial leiteiro, mas que não são totalmente aproveitadas no que tange seu potencial genético. Desta forma, buscou-se avaliar o manejo nutricional de 15 propriedades leiteiras da região fazendo um balanço do impacto da alimentação do rebanho sobre os índices de produção e reprodução das vacas no sistema de produção e como, através da alimentação, tais índices zootécnicos poderiam ser melhorados através de medidas de manejo básicas na propriedade. -/- REFERÊNCIAS BIBLIOGRÁFICAS AIRES, P. R. R. Diagnóstico do manejo alimentar e qualidade do leite na bacia leiteira do Agreste de Pernambuco. Trabalho de conclusão de curso (Técnico em Agropecuária) - IFPE Campus Belo Jardim. Belo Jardim, 2019. 56 p. AUAD, A. M. et al. Manual de bovinocultura leiteira. 1ª ed. Brasília: LK Editora, 2010. 607 p. CARDOSO, Y. G. F. Manejo reprodutivo e nutricional de bovinos. Trabalho de conclusão de curso (Graduação em Medicina Veterinária) - Faculdade Anhanguera, Anápolis, 2022. CARVALHO, J. S. B.; SOUZA, W. M. (Eds.). Anais Congresso de Iniciação Científica – CIC, Congresso de Pós-graduação – CPG. v, 3. Garanhuns: UFAPE, 2023. DA SILVA EIC. A água na nutrição animal. 1ª ed. Recife, PE: Instituto Agronômico de Pernambuco, 2023. DA SILVA, Emanuel Isaque Cordeiro. Fisiologia da Reprodução de Bovinos Leiteiros: Aspectos Básicos e Clínicos. Emanuel Isaque Cordeiro da Silva, 2022. DA SILVA, Emanuel Isaque Cordeiro. Formulação e fabricação de rações para ruminantes. 1ª ed. Belo Jardim: Emanuel Isaque Cordeiro da Silva, 2021. DA SILVA, Emanuel Isaque Cordeiro. Formulação e Fabricação de Rações Para Ruminantes: Bovinos, Caprinos e Ovinos. 2021. DA SILVA, Emanuel Isaque Cordeiro. Manejo Reprodutivo e Índices Zootécnicos em Gado de Leite. 2023. DA SILVA, Emanuel Isaque Cordeiro. Métodos de Formulação e Balanceamento de Rações para Bovinos. Belo Jardim: Emanuel Isaque Cordeiro da Silva, 2021. DA SILVA, Emanuel Isaque Cordeiro. Nutrição Sobre a Reprodução e Fertilidade dos Bovinos. Emanuel Isaque Cordeiro da Silva, 2021. DA SILVA, Emanuel Isaque Cordeiro. Opções de concentrados para vacas em lactação no Semiárido. 2022. DA SILVA, E. I. C. Suplementação e formulação de sal mineral e mistura múltipla para bovinos. Revista Universitária Brasileira, v. 2, n. 1, 2024. 27-52. GOMES, T. B. B. Diagnóstico de índices zootécnicos e produtivos do rebanho leiteiro do departamento de zootecnia/CCA/UFPB. Trabalho de conclusão de curso (Graduação em Zootecnia) - Centro de Ciências Agrárias. UFPB, Areia, 2018. GONSALVES NETO, J. Manual do produtor de leite. 1ª ed. Viçosa: Aprenda Fácil, 2012. 860 p. MACEDO, S. F. Manejo geral de propriedades de leite e corte da cidade de Bom Conselho/PE. Trabalho de ESO (Estágio Supervisionado Obrigatório - Zootecnia) – UFAPE. Garanhuns, 2018. 49 p. MELO, G. C. S. Proposta de um sistema de produção de leite com dietas à base de palma forrageira. Trabalho de conclusão de curso (Graduação em Zootecnia) - UFRPE. Recife, 2023. 31 p. MONTEIRO, A. A. et al. Características da produção leiteira da região do agreste do estado de Pernambuco, Brasil. Semina: Ciências Agrárias. v. 28, n. 4. 2007. 665-674. NÓBREGA, K. S. Caracterização produtiva e tecnológica de propriedades rurais em três estados da região do Semiárido nordestino brasileiro. Trabalho de conclusão de curso (Graduação em Medicina Veterinária) - IFPE Campus Sousa. Sousa, 2020. 41 p. PEREIRA, J. C. Vacas leiteiras: aspectos práticos da alimentação. 1ª ed. Viçosa: Aprenda Fácil, 2000. 198 p. RAMOS, J. E. S. et al. Eficiência técnica e desempenho econômico de produtores de leite no Agreste Pernambucano. In: IV Simpósio da Ciência do Agronegócio. Anais. Faculdade de Agronomia - UFRGS. Porto Alegre, RS, 2018. RAMOS, J. E. S. et al. Identificando Benchmarks na produção de leite no Agreste de Pernambuco. In: I Congresso Internacional das Ciências Agrárias - COINTER. PDVAgro 2016. Anais. Vitória de Santo Antão, PE, 2016. SILVA, E. J. et al. Estudo dos índices de desempenho reprodutivo de bovinos de três propriedades situadas no Agreste e Zona da Mata do Estado de Pernambuco. Scientia Plena, v. 11, n. 4. 2015. 1-4. SILVA, S. S. et al. Viabilidade econômica em sistemas de produção de leite da Agricultura familiar em Pernambuco. Custos e @agronegócio. v. 15, n. 3. 2019. 460-484. ZEOLITA, M. A. A. Manejo nutricional e índices zootécnicos do rebanho leiteiro do Agreste de Pernambuco. Tese (Doutorado em Zootecnia) - UFAPE. Garanhuns, 2023. 86 p. (shrink)

The Genetic Ranking Optimization Algorithm (GROA) is used to rank phishing content based on multiple features by optimizing the ranking system through iterative selection and weighting. Dynamic weighting further enhances the process by adjusting the weights of features based on their importance in real-time. This hybrid approach enables the model to learn from the data, improving classification over time. The classification system was evaluated using benchmark phishing datasets, and the results demonstrated a significant improvement in detection accuracy and reduced (...) false positives. (shrink)

Today, major disciplines (including psychology, philosophy, science, etc.) are seeking to forge a deeper connection with spirituality/spiritual values. Emanating from these efforts are clues about the role of spirituality as an inspiration, a fertile source, and a benchmark for research, policy-making, and reforms. In the case of law/the law, scholars explore its relationship with spirituality in light of diverse topics including human rights, crime prevention, family relations, humanitarianism, development, education, security, conflict resolution, and freedom. A few of these works (...) offer fascinating insights, and a few emphasize the need for more detailed analysis. -/- This chapter seeks to highlight a few aspects of the relationship between law and spirituality. First, it highlights the importance being given to spirituality or spiritual values across disciplines, including law. Second, it aims to map the influence of spirituality in the working of laws and legal systems. This exercise will be undertaken in light of the expressions such as spiritual needs, spiritual rights, the spiritualization of law, etc. Third, the chapter raises a few questions of conceptual and practical importance. (shrink)

This article reports on Clean Language Interviewing (CLI), a rigorous, recently developed 'content-empty' (non-leading) approach to second-person interviewing in the science of consciousness. Also presented is a new systematic third-person method of validation that evaluates the questions and other verbal interventions by the interviewer to produce an adherence-to-method or 'cleanness' rating. A review of 19 interviews from five research studies provides a benchmark for interviewers seeking to minimize leading questions. The inter-rater reliability analysis demonstrates substantial agreement among raters with (...) an average intraclass correlation coefficient of 0.72 (95% CI). We propose that this method of validation is applicable not only to CLI but to second-person interviews more generally. (shrink)