This study was conducted to determine the effectiveness of utilizing the Dual-axis Solar Tracker in harnessing solar energy and storing it in lithium-ion batteries in terms of voltage and milliamps per hour gained. This study utilized two solar panel systems, the Static Solar Panel System and the Dual-Axis Solar Tracker and aimed to prove the significant difference generated by solar panel systems in terms of voltage and milliamps per hour. This study employed an Applied Experimental Research Design utilizing Arduino Uno, (...) light-dependent resistors, micro servos, and solar panels to create the Dual-Axis Solar Tracker. The data gathered from the electric quantities during the seven-day sun exposure were tabulated, analyzed, and computed using mean tests, standard deviation, and T-tests to find the significant difference between the two solar panels. Based on the analyses of the data, it was revealed that the Dual-Axis Solar Tracker was superior in terms of voltage and milliamps per hour generated compared to the Static Solar Panel System. Moreover, computations using the T-test found that in terms of voltage and milliamps per hour generated, there was a significant difference between the Dual-Axis Solar Tracker and the Static Solar Panel System. Based on the findings of the study, it is concluded that the utilization of the Dual-Axis Solar Tracker statistically increases the effectiveness of solar panels in harnessing energy generation. (shrink)

In this article, we investigate how the concept of Care Biography and related concepts are understood and operationalised and describe how it can be applied to advancing our understanding and practice of holistic and person‐centred care. Walker and Avant's eight‐step concept analysis method was conducted involving multiple database searches, with potential or actual applications of Care Biography identified based on multiple discussions among all authors. Our findings demonstrate Care Biography to be a novel overarching concept derived from the conjunction of (...) multiple other concepts and applicable across multiple care settings. Concepts related to Care Biography exist but were more narrowly defined and mainly applied in intensive care, aged care, and palliative care settings. They are associated with the themes of Meaningfulness and Existential Coping, Empathy and Understanding, Promoting Positive Relationships, Social and Cultural Contexts, and Self‐Care, which we used to inform and refine our concept analysis of Care Biography. In Conclusion, the concept of Care Biography, can provide a deeper understanding of a person and their care needs, facilitate integrated and personalised care, empower people to be in control of their care throughout their life, and help promote ethical standards of care. (shrink)

Conflict over who belongs in women-only spaces is now part of mainstream political debate. Some think women-only spaces should exclude on the basis of sex, and others think they should exclude on the basis of a person’s self-determined gender identity. Many who take the latter view appear to believe that the only reason for taking the former view could be antipathy towards men who identify as women. In this paper, we’ll revisit the second-wave feminist literature on separatism, in order to (...) uncover the reasons for women-only spaces as feminists originally conceived them. Once these reasons are understood, those participating in debates over women-only spaces will be in a better position to adjudicate on whether shifting from sex to gender identity puts any significant interests at stake. (shrink)

The world of entrepreneurship has historically been linked with taking risks and the potential for significant rewards. However, there persists a notable gender imbalance in the entrepreneurial landscape, wherein women entrepreneurs remain a minority. Women navigating the entrepreneurial path encounter distinct challenges, setting their experiences apart from their male counterparts. In Balayan, Batangas, despite strides towards gender equality, women entrepreneurs continue to face challenges in the entrepreneurial landscape. This qualitative study delves into the experiences of 10 successful female entrepreneurs who (...) met specific criteria. Accordingly, semi-structured interviews are conducted, exploring various aspects of participants' experiences and revealing their motivations, achievements, challenges, and strategies. Thematic analysis reveals the connection between familial, community-driven, and personal motivations that drive these entrepreneurs forward. Despite facing obstacles such as financial constraints and gender biases, they prioritize financial gains and personal growth. With resilience, innovation, and dedication, these women overcome challenges and achieve success, utilizing support networks and online marketing strategies to their advantage. Recommendations include empowering women in entrepreneurship, strengthening support networks, introducing tailored financial literacy programs, and advocating against gender biases. Implement skill development initiatives and provide specialized education in online marketing. Engage in policy advocacy, celebrate success stories, and continuously research challenges and successes. Foster collaborative partnerships between businesses, educational institutions, and communities, and advocate for increased funding opportunities for sustainable growth. This research emphasizes the strength and capabilities of women entrepreneurs in Balayan, Batangas, affirming that "pink doesn't mean weak.". (shrink)

The Pfizer-BioNTech coronavirus vaccine is 90 percent effective in protecting against COVID-19. It would not have been possible without the tireless effort of Professor Katalin Karikó, a scientific innovator fitting the mold of dynamic inventor Arthur Diamond presents in his book, Openness to Creative Destruction Sustaining Innovative Dynamism. Not only did Professor Karikó persist in her beliefs in the therapeutic potential of synthetic messenger RNA over the course of four decades, but she did so despite the criticisms of other scientists (...) and despite lack of financial backing for large parts of her career. Professor Karikó is a good example of the unconventional picture that Diamond paints of entrepreneurs in a specific version of market capitalism he terms, innovative dynamism. Specifically, she is an example of someone who does not hold prevailing academic theories in too high a regard and instead privileges her tacit knowledge (knowledge gained from years of working with mRNA in the lab) to persist believing in the potential of a therapy that now could quite literally save the world. Most surprisingly, she, like most of the entrepreneurs surveyed in the book, seem not primarily motivated by profit, though the money their projects eventually attract is integral to disseminating their creative ideas to the masses. -/- Are the many examples offered by Diamond that are similar to Professor Karikó’s story evidence against the long-standing suspicion that there is something morally damning in the self-interested motivations of innovative entrepreneurship? Is it the case that others would have inevitably pursued the cure that Karikó pursued, regardless of economic system? In light of COVID-19 and other high-pressure situations, ought we to care how we constrain the innovators who develop solutions? Diamond’s case for the economic system, innovative dynamism, seeks to answer these and other important questions concerning our political and cultural treatment of innovators and entrepreneurs. This review critically assesses his efforts. I make my case by first reviewing the major argumentative structure of the book, then I summarize and evaluate the three major themes Diamond presents in the book: (1) what is innovative dynamism and who are its competitors, (2) what are the major benefits of innovative dynamism, (3) who is the innovative entrepreneur and how do we support him or her? (shrink)

This article explores the history of Vodou from outlawed African dance to revolutionary magic to depoliticized national Haitian religion and popular dance, its present reduction to Diaspora interpersonal healing, and a possible future. My first section, on Kate Ramsey’s The Spirits and the Law: Vodou and Power in Haiti, reveals Vodou as a sociopolitical construction of racist legal oppression of Africana dances rituals, and artistic-political resistance thereto. My second section, on Karen McCarthy Brown’s Mama Lola: A Vodou Priestess in (...) Brooklyn, a “postmodern ethnography” of intersectional oppressions and Black female Haitian resistance in the Diaspora, foregrounds the figure of Gedelia, a feminist variant on Papa Gede, central Vodou spirit (lwa) of resurrection and healing. Finally, my last section, on the “observing participant” analyses of Black dance anthropologist Yvonne Daniel’s Dancing Wisdom: Embodied Knowledge in Haitian Vodou, Cuban Yoruba, and Bahian Candomblé, finds a dancing Gedelia in her centering of Oyá, a warrior spirit of storms and death. On this basis, I propose the figure of tornadic black angels as a possible magical tool (in Vodou, a pwen, or “point”) intended to re-spiritualize and thereby re-politicize the secularized and whitewashed social Latin dance called “salsa” for social justice. (shrink)

Can new technology enhance purpose-driven, democratic dialogue in groups, governments, and societies? Online Deliberation: Design, Research, and Practice is the first book that attempts to sample the full range of work on online deliberation, forging new connections between academic research, technology designers, and practitioners. Since some of the most exciting innovations have occurred outside of traditional institutions, and those involved have often worked in relative isolation from each other, work in this growing field has often failed to reflect the full (...) set of perspectives on online deliberation. This volume is aimed at those working at the crossroads of information/communication technology and social science, and documents early findings in, and perspectives on, this new field by many of its pioneers. -/- CONTENTS: -/- Introduction: The Blossoming Field of Online Deliberation (Todd Davies, pp. 1-19) -/- Part I - Prospects for Online Civic Engagement -/- Chapter 1: Virtual Public Consultation: Prospects for Internet Deliberative Democracy (James S. Fishkin, pp. 23-35) -/- Chapter 2: Citizens Deliberating Online: Theory and Some Evidence (Vincent Price, pp. 37-58) -/- Chapter 3: Can Online Deliberation Improve Politics? Scientific Foundations for Success (Arthur Lupia, pp. 59-69) -/- Chapter 4: Deliberative Democracy, Online Discussion, and Project PICOLA (Public Informed Citizen Online Assembly) (Robert Cavalier with Miso Kim and Zachary Sam Zaiss, pp. 71-79) -/- Part II - Online Dialogue in the Wild -/- Chapter 5: Friends, Foes, and Fringe: Norms and Structure in Political Discussion Networks (John Kelly, Danyel Fisher, and Marc Smith, pp. 83-93) -/- Chapter 6: Searching the Net for Differences of Opinion (Warren Sack, John Kelly, and Michael Dale, pp. 95-104) -/- Chapter 7: Happy Accidents: Deliberation and Online Exposure to Opposing Views (Azi Lev-On and Bernard Manin, pp. 105-122) -/- Chapter 8: Rethinking Local Conversations on the Web (Sameer Ahuja, Manuel Pérez-Quiñones, and Andrea Kavanaugh, pp. 123-129) -/- Part III - Online Public Consultation -/- Chapter 9: Deliberation in E-Rulemaking? The Problem of Mass Participation (David Schlosberg, Steve Zavestoski, and Stuart Shulman, pp. 133-148) -/- Chapter 10: Turning GOLD into EPG: Lessons from Low-Tech Democratic Experimentalism for Electronic Rulemaking and Other Ventures in Cyberdemocracy (Peter M. Shane, pp. 149-162) -/- Chapter 11: Baudrillard and the Virtual Cow: Simulation Games and Citizen Participation (Hélène Michel and Dominique Kreziak, pp. 163-166) -/- Chapter 12: Using Web-Based Group Support Systems to Enhance Procedural Fairness in Administrative Decision Making in South Africa (Hossana Twinomurinzi and Jackie Phahlamohlaka, pp. 167-169) -/- Chapter 13: Citizen Participation Is Critical: An Example from Sweden (Tomas Ohlin, pp. 171-173) -/- Part IV - Online Deliberation in Organizations -/- Chapter 14: Online Deliberation in the Government of Canada: Organizing the Back Office (Elisabeth Richard, pp. 177-191) -/- Chapter 15: Political Action and Organization Building: An Internet-Based Engagement Model (Mark Cooper, pp. 193-202) -/- Chapter 16: Wiki Collaboration Within Political Parties: Benefits and Challenges (Kate Raynes-Goldie and David Fono, pp. 203-205) -/- Chapter 17: Debian’s Democracy (Gunnar Ristroph, pp. 207-211) -/- Chapter 18: Software Support for Face-to-Face Parliamentary Procedure (Dana Dahlstrom and Bayle Shanks, pp. 213-220) -/- Part V - Online Facilitation -/- Chapter 19: Deliberation on the Net: Lessons from a Field Experiment (June Woong Rhee and Eun-mee Kim, pp. 223-232) -/- Chapter 20: The Role of the Moderator: Problems and Possibilities for Government-Run Online Discussion Forums (Scott Wright, pp. 233-242) -/- Chapter 21: Silencing the Clatter: Removing Anonymity from a Corporate Online Community (Gilly Leshed, pp. 243-251) -/- Chapter 22: Facilitation and Inclusive Deliberation (Matthias Trénel, pp. 253-257) -/- Chapter 23: Rethinking the ‘Informed’ Participant: Precautions and Recommendations for the Design of Online Deliberation (Kevin S. Ramsey and Matthew W. Wilson, pp. 259-267) -/- Chapter 24: PerlNomic: Rule Making and Enforcement in Digital Shared Spaces (Mark E. Phair and Adam Bliss, pp. 269-271) -/- Part VI - Design of Deliberation Tools -/- Chapter 25: An Online Environment for Democratic Deliberation: Motivations, Principles, and Design (Todd Davies, Brendan O’Connor, Alex Cochran, Jonathan J. Effrat, Andrew Parker, Benjamin Newman, and Aaron Tam, pp. 275-292) -/- Chapter 26: Online Civic Deliberation with E-Liberate (Douglas Schuler, pp. 293-302) -/- Chapter 27: Parliament: A Module for Parliamentary Procedure Software (Bayle Shanks and Dana Dahlstrom, pp. 303-307) -/- Chapter 28: Decision Structure: A New Approach to Three Problems in Deliberation (Raymond J. Pingree, pp. 309-316) -/- Chapter 29: Design Requirements of Argument Mapping Software for Teaching Deliberation (Matthew W. Easterday, Jordan S. Kanarek, and Maralee Harrell, pp. 317-323) -/- Chapter 30: Email-Embedded Voting with eVote/Clerk (Marilyn Davis, pp. 325-327) -/- Epilogue: Understanding Diversity in the Field of Online Deliberation (Seeta Peña Gangadharan, pp. 329-358). -/- For individual chapter downloads, go to odbook.stanford.edu. (shrink)

We consider emergence from the perspective of dynamics: states of a system evolving with time. We focus on the role of a decomposition of wholes into parts, and attempt to characterize relationships between levels without reference to whether higher-level properties are “novel” or “unexpected.” We offer a classification of different varieties of emergence, with and without new ontological elements at higher levels. -/- Submitted to a volume on Real Patterns (Tyler Milhouse, ed.), to be published by MIT Press.

Abstract: The integration of Artificial Intelligence (AI) into Human Resource Management (HRM) is fundamentally transforming how organizations approach recruitment, performance management, and employee engagement. This paper explores the multifaceted impact of AI on HR practices, highlighting its role in enhancing efficiency, reducing bias, and driving strategic decision-making. Through an in-depth analysis of AI-driven recruitment tools, performance management systems, and personalized employee engagement strategies, this study examines both the opportunities and challenges associated with AI in HRM. Ethical considerations, including data privacy, (...) algorithmic bias, and the potential displacement of human jobs, are critically discussed to provide a balanced perspective on the adoption of AI technologies in the HR domain. By presenting case studies of organizations successfully leveraging AI, this paper offers insights into the future trajectory of HRM in an increasingly AI-driven world. Ultimately, the findings underscore the need for HR professionals to adapt and innovate in response to the growing influence of AI, ensuring a harmonious balance between technological advancement and the human element in the workplace. (shrink)

Multidimensional concepts are everywhere, and they are important. Examples include moral value, welfare, scientific confirmation, democracy, and biodiversity. How, if at all, can we aggregate the underlying dimensions of a multidimensional concept F to yield verdicts about which things are Fer than which overall? Social choice theory can be used to model and investigate this aggregation problem. Here, we focus on a particularly thorny problem made salient by this social choice-theoretic framework: the underlying dimensions of a given concept might be (...) measurable on different types of scales—e.g., some ordinal and some cardinal. An underappreciated impossibility theorem due to Anna Khmelnitskaya shows that seemingly plausible constraints on aggregation across scale types are inconsistent. This impossibility threatens to render the notion of overall Fness incoherent. We attempt to defuse this threat, arguing that the impossibility depends on an overly restrictive conception of measurement and of how measurement constrains aggregation. Adopting a more flexible—and, we think, more perspicuous—conception of measurement opens an array of possibilities for aggregation across disparate scale types. (shrink)

Diabetes is a major public health issue that affects the nations of our time to a large extent and is described as a non-communicable epidemic. Diabetes mellitus is a common disease where there is too much sugar (glucose) floating around in your blood. This occurs because either the pancreas can’t produce enough insulin or the cells in body have become resistant to insulin. The concentration in this paper is on diagnosis diabetes by designing a proposed expert system. The main goal (...) of this expert system is to get the appropriate diagnosing of the illness, dealing with it quickly, and tips for permanent treatment whenever possible is given out. SL5 object expert system language was used for designing and implementing the proposed expert system. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into medical imaging represents a transformative shift in healthcare, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. This paper explores the application of AI technologies in the analysis of medical images, focusing on techniques such as convolutional neural networks (CNNs) and deep learning models. We discuss how these technologies are applied to various imaging modalities, including X-rays, MRIs, and CT scans, to enhance disease detection, image segmentation, and diagnostic support. Additionally, the (...) paper addresses the challenges faced in AI-driven medical imaging, including data quality, model interpretability, and ethical considerations. By examining recent advancements and real-world case studies, this paper provides insights into the current state of AI in medical imaging and its potential future directions. The findings highlight the ongoing evolution of AI technologies and their crucial role in advancing medical diagnostics and treatment strategies. (shrink)

The aim of the research is to identify the relationship between the performance criteria and the achievement of the objectives of supervision which is represented in the performance of the job at the Islamic University in Gaza Strip. To achieve the objectives of the research, the researchers used the descriptive analytical approach to collect information. The questionnaire consisted of (22) paragraphs distributed to three categories of employees of the Islamic University (senior management, faculty members, their assistants and members of the (...) administrative board). A random sample of 314 employees was selected, 276 responses were retrieved with a return rate of 88.1%. The SPSS program was used to enter, process, and analyze the data. The results of the study showed a positive relationship between the performance criteria and the achievement of the control objectives represented by the job performance in the Islamic University from the point of view of the members (senior management, faculty and their assistants and the administrative board). The researchers also recommended a number of recommendations, including the provision of an appropriate level of control system components today through the continuous updating and development of performance standards and the need to provide the necessary physical and financial resources to continue the development and achievement within the university. Expand the development of technology in the various activities of the university through the construction of a complete and integrated system to support the control systems in the university to suit its size. The researchers also recommended the follow-up, review of the performance standards and work to modify them in line with the mission of the university and the goals that the university seeks to reach. (shrink)

I defend the view that a reason for someone to do something is just a reason why she ought to do it. This simple view has been thought incompatible with the existence of reasons to do things that we may refrain from doing or even ought not to do. For it is widely assumed that there are reasons why we ought to do something only if we ought to do it. I present several counterexamples to this principle and reject some (...) ways of understanding "ought" so that the principle is compatible with my examples. I conclude with a hypothesis for when and why the principle should be expected to fail. (shrink)

I present a new argument for the repugnant conclusion. The core of the argument is a risky, intrapersonal analogue of the mere addition paradox. The argument is important for three reasons. First, some solutions to Parfit’s original puzzle do not obviously generalize to the intrapersonal puzzle in a plausible way. Second, it raises independently important questions about how to make decisions under uncertainty for the sake of people whose existence might depend on what we do. And, third, it suggests various (...) difficulties for leading views about the value of a person’s life compared to her nonexistence. (shrink)

Some modern cosmological models predict the appearance of Boltzmann Brains: observers who randomly fluctuate out of a thermal bath rather than naturally evolving from a low-entropy Big Bang. A theory in which most observers are of the Boltzmann Brain type is generally thought to be unacceptable, although opinions differ. I argue that such theories are indeed unacceptable: the real problem is with fluctuations into observers who are locally identical to ordinary observers, and their existence cannot be swept under the rug (...) by a choice of probability distributions over observers. The issue is not that the existence of such observers is ruled out by data, but that the theories that predict them are cognitively unstable: they cannot simultaneously be true and justifiably believed. (shrink)

The standard view of "believes" and other propositional attitude verbs is that such verbs express relations between agents and propositions. A sentence of the form “S believes that p” is true just in case S stands in the belief-relation to the proposition that p; this proposition is the referent of the complement clause "that p." On this view, we would expect the clausal complements of propositional attitude verbs to be freely intersubstitutable with their corresponding proposition descriptions—e.g., "the proposition that p"—as (...) they are in the case of "believes." In many cases, however, intersubstitution of that-clauses and proposition descriptions fails to preserve truth value or even grammaticality. These substitution failures lead some philosophers to reject the standard view of propositional attitude reports. Others conclude that propositional attitude verbs are systematically ambiguous. I reject both these views. On my view, the that-clause complements of propositional attitude verbs denote propositions, but proposition descriptions do not. (shrink)

The research aims to identify the trends of Palestinian higher educational institutions in Gaza Strip as learning organizations from the perspective of senior management in the Palestinian universities in Gaza Strip. The researchers used descriptive analytical approach and used the questionnaire as a tool for information gathering. The questionnaires were distributed to senior management in the Palestinian universities. The study population reached (344) employees in senior management is dispersed over (3) Palestinian universities. A stratified random sample of (182) employees from (...) the Palestinian universities was selected and the recovery rate was (69.2%). Statistical analysis (SPSS) program was used for analysis and processing the data. The study found the following results: There is an agreement about: the importance of the focus of "organizational structure" with an average approval, the importance of "technological infrastructure" axis with high approval, and the importance of "strategic" with an average approval. The results concluded that the study sample agree on the importance of "organizational dimension" highly. The results showed that the sample believe that the "strategic leadership" level in the universities got medium-approval. There is a fair level agreement about the axis of interest "teams / committees". There is an agreement about the importance of the "human dimension" moderately. The results showed that the sample is highly agreed about the importance of focus of the "knowledge management", and the focus of the "continuing education". They agreed weakly to somewhat about the importance of the focus of "scientific research", moderately agree about the importance of the center of "institutional culture", agree moderately on the importance of "cognitive dimension". The results showed that the sample largely agree on the importance of the focus of "strategic partnerships and alliances". They agree highly on the axis "keep up with the labor market" and on the focus of the importance of "technology incubators". The results showed that the sample moderately agree about the importance of the theme on "consulting and training", the importance of the focus of "social responsibility", and the focus of the "Community dimension". The study found a group of recommendations including: there is a need to provide suitable environment that achieve learning organizations. There is a need to develop the technological infrastructure (hardware, software, networks, databases, and human skills) because of the great advantages that they offer. The universities need to adopt knowledge management in the academic and administrative departments because knowledge is the core of the work of these departments. The establishment of technology incubators in universities to adopt outstanding university research projects, to protect, to supports, and to market them; furthermore, to develop the capabilities and skills of employees in the field of information technology. (shrink)

Abstract: Early detection of breast cancer plays a pivotal role in improving patient prognosis and reducing mortality rates. Recent technological advancements have significantly enhanced the accuracy and effectiveness of breast cancer screening methods. This paper explores the latest innovations in early detection, including the evolution of digital mammography, the impact of 3D mammography (tomosynthesis), and the use of advanced imaging techniques such as molecular imaging and MRI. Furthermore, the integration of artificial intelligence (AI) in diagnostic tools is discussed, highlighting how (...) machine learning algorithms are refining imaging analyses and reducing diagnostic errors. Advances in genetic screening, liquid biopsies, and biomarkers are also examined, showcasing their potential in identifying high-risk individuals and enabling personalized treatment plans. This paper provides insights into the future of breast cancer detection, outlining both the opportunities and challenges that lie ahead in adopting these innovative technologies to improve patient outcomes. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into leadership practices is rapidly transforming organizational dynamics and decision-making processes. This paper explores the ways in which AI enhances leadership effectiveness by providing data- driven insights, optimizing decision-making, and automating routine tasks. Additionally, it examines the challenges leaders face when adopting AI, including ethical considerations, potential biases in AI systems, and the need for upskilling. By analyzing current applications of AI in leadership and discussing future trends, this study aims to offer a (...) comprehensive overview of the opportunities AI presents for effective leadership, as well as the strategies required to address its associated challenges. (shrink)

Book synopsis: Our mental lives are entwined with the world. There are worldly things that we have beliefs about and things in the world we desire to have happen. We find some things fearsome and others likable. The puzzle of intentionality — how it is that our minds make contact with the world — is one of the oldest and most vexed issues facing philosophers. Many contemporary philosophers and cognitive scientists have been attracted to the idea that our minds represent (...) the world. This book explores an important assumption about representation, namely, that when we represent things in the world, we represent them as having properties, and in this way our representations have "propositional" structure. The contributors examine what the commitment to propositionalism amounts to; illuminate why one might find the thesis attractive ; and consider ways in which one might depart from propositionalism. The hope is that this will lead towards a more complete understanding of how the mind and world are connected. (shrink)

Impulse and momentum are basic concepts of mechanics introduced in the K to 12 curricula. Despite its basic concepts, students still have difficulties understanding the topic, especially when they are out of school due to the pandemic. After reopening the gates for face–to–face classes in the Philippines, the researchers found a significant reason to conduct a lesson study to improve teaching strategies on the topic. Lesson study is a development process wherein teachers work collaboratively to improve teachers teaching capacity. This (...) study was conducted at Plaridel National High School with 23 participants from Grade 9 Newton (Set A and B). The research was conducted in two cycles using a four – phase lesson study. The research lesson was implemented using a 4A Model lesson plan and the results were taken from the analysis of the lesson study observation sheets, along with the class proficiency level. The researchers used the following strategies to improve teaching, namely; (1) showing mastery of subject matter, (2) reviewing basic mathematical operations, (3) contextualizing the lesson, (4) allowing students to answer questions in mother tongue, (5) using collaborative activities, (6) giving rewards, and (7) applying proper time management. However, the findings still showed that both sets of students achieved beginning proficiency level. Despite the implementation of these strategies, the students still lack basic knowledge of the topic and mathematical operations, and they struggle to understand it. Thus, it is recommended to plan the lesson effectively, utilize other research instruments, and collect feedback from the students. (shrink)

Abstract: The rapid advancement of artificial intelligence (AI) has catalyzed significant developments in autonomous systems, which are increasingly shaping diverse sectors including transportation, robotics, and industrial automation. This paper explores the evolution of AI technologies that underpin these autonomous systems, focusing on their capabilities, applications, and the challenges they present. Key areas of discussion include the technological innovations driving autonomy, such as machine learning algorithms and sensor integration, and the practical implementations observed in autonomous vehicles, drones, and robotic systems. Additionally, (...) the paper addresses critical challenges including safety, ethical concerns, and regulatory issues that influence the deployment and acceptance of autonomous technologies. By examining current trends and future prospects, this research aims to provide a comprehensive overview of how AI is transforming the landscape of autonomous systems and to identify key areas for future research and development. (shrink)

Abstract: Ensuring the proactive detection of transaction risks is paramount for financial institutions, particularly in the context of managing credit scores. In this study, we compare different machine learning algorithms to effectively and efficiently. The algorithms used in this study were: MLogisticRegressionCV, ExtraTreeClassifier,LGBMClassifier,AdaBoostClassifier, GradientBoostingClassifier,Perceptron,RandomForestClassifier,KNeighborsClassifier,BaggingClassifier, DecisionTreeClassifier, CalibratedClassifierCV, LabelPropagation, Deep Learning. The dataset was collected from Kaggle depository. It consists of 164 rows and 8 columns. The best classifier with unbalanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%,Recall100.0% and the F1-score (...) 100.0%. However, the best classifier with balanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%, Recall 100.0% and the F1-score 100.0%. (shrink)

Cosmological models that invoke a multiverse - a collection of unobservable regions of space where conditions are very different from the region around us - are controversial, on the grounds that unobservable phenomena shouldn't play a crucial role in legitimate scientific theories. I argue that the way we evaluate multiverse models is precisely the same as the way we evaluate any other models, on the basis of abduction, Bayesian inference, and empirical success. There is no scientifically respectable way to do (...) cosmology without taking into account different possibilities for what the universe might be like outside our horizon. Multiverse theories are utterly conventionally scientific, even if evaluating them can be difficult in practice. (shrink)

In this paper, we argue that there are reasons to believe that an implicit bias for normalcy influences what are considered medically necessary treatments in psychiatry. First, we outline two prima facie reasons to suspect that this is the case. A bias for ‘the normal’ is already documented in disability studies; it is reasonable to suspect that it affects psychiatry too, since psychiatric patients, like disabled people, are often perceived as ‘weird’ by others. Secondly, psychiatry's explicitly endorsed values of well-being (...) and function are hard to measure directly, which is why we see simpler box-ticking conceptions of recovery used in large research studies. This need not be problematic, but might lead to researchers and clinicians focusing too much on treatments that promote easy-to-measure proxies for recovery, instead of what actually matters to psychiatric patients themselves. Next, we provide examples of treatments and treatment decisions within two areas – self-injury and psychosis – which are hard to explain unless we assume that an implicit and harmful normalcy bias is at work. We conclude with some suggestions for clinicians and future research. (shrink)

There is growing concern that a global economic system fueled predominately by financial incentives may not maximize human flourishing and social welfare externalities. If so, this presents a challenge of how to get economic actors to adopt a more virtuous motivational mindset. Relying on historical, psychological, and philosophical research, we show how such a mindset can be instilled. First, we demonstrate that historically, financial self-interest has never in fact been the only guiding motive behind free markets, but that markets themselves (...) are representations of our individual and collective moral identities. Building on this understanding, we review the research on how economic incentives crowd out virtue-oriented concerns. We then introduce the concept of moral self-awareness (MSA), an evolving mindset informed by reflection on moral identity, namely what one’s actions say about oneself given the impacts on others or society that one’s action may effect. MSA comprises three fundamental aspects of virtue-oriented reasoning: pride, shame, and guilt. Finally, we offer a four-stage model anchored in systems theory, yielding ever more refined motivating strategies for maximizing human flourishing and social welfare externalities. (shrink)

Abstract: Forests are areas with a high density of trees, and they play a vital role in the health of the planet. They provide a habitat for a wide variety of plant and animal species, and they help to regulate the climate by absorbing carbon dioxide from the atmosphere. While in 2010, the world had 3.92Gha of forest cover, covering 30% of its land area, in 2019, there was a loss of forest cover of 24.2Mha according to the Global Forest (...) Watch institute. Discovery and classification depend on human experience and effort, so the error in the results of this process can lead to forest fires and disasters. Therefore, deep learning algorithms from artificial intelligence and machine learning sciences have been applied to help specialists avoid false or inaccurate diagnoses when detecting Forest fires in images using a pre-trained convolutional neural network called VGG16. The model was customized to fit the Forest fires classification and then applied to a dataset consisting of (14,000) of the Forests collected from the Kaggle depository. We trained, validated, and tested the modified VGG16 model. The proposed VGG16 model obtained Precision (99.96%), Recall (99.96%), and F1-Score (99.96%). (shrink)

The article studies the impact of Fintech on entrepreneurship in Arabic region by using Crowdfunding platforms as the field of study. The article focuses on Arabic Crowdfunding platforms. The population of (12) platforms consist of: individuals, entrepreneurs, investors, employees at Crowdfunding platforms. Descriptive and quantitative approach used in this article, and a questionnaire used as a tool to collect primary data. The results indicate an impact for Fintech on entrepreneurship in general and obvious obstacles to use it widely in Arabic (...) region cause of legislations or e-payments. The article recommended more awareness for innovative products and services such as Fintech, Crowdfunding and adopting the culture of e-business models. Also the article promoting the process of developing regulations that organize e-business models, especially Fintech and Crowdfunding, the use of modern communication technology to serve the development of society, more interest to innovation and creativity as a key factor for entrepreneurial success. (shrink)

The research aims to study the role of strategic and operational planning as approach for crises management in UNRWA - Gaza Strip field- Palestine. Several descriptive analytical methods were used for this purpose and a survey as a tool for data collection. Community size was (881), and the study sample was stratified random (268). The overall findings of the current study show that strategic and operational planning is performed in UNRWA. The results of static analysis show that there are a (...) relation between strategic and operational planning and crises management. In spite this relation existence, it need more improvement and expanding. Also there are shortcomings in the way that organization manages the crises before and after they occur. A crisis management is only practicing during the crisis. The study suggests that UNRWA must invest in more resources to enhance strategic and operational palming and improve other methods to face potential crises in the future. (shrink)

In this paper I defend the traditional interpretations of Kant’s Formula of a Law of Nature from recent attacks leveled by Faviola Rivera-Castro, James Furner, Ido Geiger, Pauline Kleingeld and Sven Nyholm. After a short introduction, the paper is divided into four main sections. In the first, I set out the basics of the three traditional interpretations, the Logical Contradiction Interpretation, the Practical Contradiction Interpretation and the Teleological Contradiction Interpretation. In the second, I examine the work of Geiger, Kleingeld and (...) Nyholm: these three commentators reject the traditional interpretations entirely, but I argue that this rejection is ill-founded. In the third and fourth, I take a detailed look at Furner’s work, work in which he seeks to revise (rather than reject) the traditional interpretations. I argue that, despite his more modest aims, Furner’s revision is also ill-founded. (shrink)

Imagine that you are given access to an AI chatbot that compellingly mimics the personality and speech of a deceased loved one. If you start having regular interactions with this “thanabot,” could this new relationship be a continuation of the relationship you had with your loved one? And could a relationship with a thanabot preserve or replicate the value of a close human relationship? To the first question, we argue that a relationship with a thanabot cannot be a true continuation (...) of your relationship with a deceased loved one, though it might support one’s continuing bonds with the dead. To the second question, we argue that, in and of themselves, relationships with thanabots cannot benefit us as much as rewarding and healthy intimate relationships with other humans, though we explain why it is difficult to make reliable comparative generalizations about the instrumental value of these relationships. (shrink)

Abstract: As artificial intelligence (AI) technologies become more integrated across various sectors, ethical considerations in their development and application have gained critical importance. This paper delves into the complex ethical landscape of AI, addressing significant challenges such as bias, transparency, privacy, and accountability. It explores how these issues manifest in AI systems and their societal impact, while also evaluating current strategies aimed at mitigating these ethical concerns, including regulatory frameworks, ethical guidelines, and best practices in AI design. Through a comprehensive (...) analysis of these challenges and proposed solutions, this paper seeks to contribute to the ongoing discourse on responsible AI development, emphasizing the need for a balance between technological advancement and ethical integrity. (shrink)

Parkinson's Disease (PD) is a long-term degenerative disorder of the central nervous system that mainly affects the motor system. The symptoms generally come on slowly over time. Early in the disease, the most obvious are shaking, rigidity, slowness of movement, and difficulty with walking. Doctors do not know what causes it and finds difficulty in early diagnosing the presence of Parkinson’s disease. An artificial neural network system with back propagation algorithm is presented in this paper for helping doctors in identifying (...) PD. Previous research with regards to predict the presence of the PD has shown accuracy rates up to 93% [1]; however, accuracy of prediction for small classes is reduced. The proposed design of the neural network system causes a significant increase of robustness. It is also has shown that networks recognition rates reached 100%. (shrink)

Background: A bean is the seed of one of several genera of the flowering plant family Fabaceae, which are used as vegetables for human or animal food. They can be cooked in many different ways, including boiling, frying, and baking, and are used in many traditional dishes throughout the world. Beans are one of the longest-cultivated plants. Broad beans, also called fava beans, in their wild state the size of a small fingernail, were gathered in Afghanistan and the Himalayan foothills. (...) In a form improved from naturally occurring types, Beans were an important source of protein throughout old and new world history, and still are today. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper, the design of the proposed Expert System was produced to help farmers and those interested in agriculture in diagnosing many of the Bean diseases such as Fusarium wilt, Charcoal rot or ashy stem blight, Bacterial leaf spot and blight, Mung bean yellow mosaic virus, Cercospora leaf spot. The proposed expert system presents an overview of Bean diseases are given, the cause of diseases outlined and the treatment of disease whenever possible is given out. CLIPS Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Bean diseases diagnosis expert system was evaluated by Agricultural experts and some friends interested in agriculture and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for Farmers and those interested in agriculture. (shrink)

Pogge’s 2006 framework of global justice can be adapted for individual agents or collective unilateral donations in the same way Singer’s framework has been. I do so by amending Pogge’s institutional principles for international human rights NGOs and by adding two further principles to address challenges that arise when his framework is applied. This adapted framework enjoins donors to make principled philanthropic decisions that prioritize existing and near-term suffering, while also rectifying their part in causing this suffering. It makes Pogge’s (...) negative duty account easier to implement than his previous proposal, and provides well-off individuals with an alternative to Effective Altruism. (shrink)

ABSTRACT According to David Lewis, alteration is "qualitative difference between temporal parts of something." It follows that moments, since they are simple and lack temporal parts, cannot alter from future to present to past. Here then is another way to put McTaggart's paradox about change in tense. I will appeal to my theory of Aspects to rebut the thought behind this rendition of McTaggart. On my theory, it is possible that qualitatively differing things be numerically identical. I call these differing, (...) numerically identical things "aspects." I will argue that alteration can be a qualitative difference between temporal aspects of something that lacks temporal parts. So a moment can alter in tense. By rejecting Lewis's assumption my theory can solve this version of McTaggart's paradox. (shrink)

This article argues that our attention is pervasively biased by embodied affects and that we are normatively assessable in light of this. From a contemporary perspective, normative theorizing about attention is a relatively new trend (Siegel 2017: Ch. 9, Irving 2019, Bommarito 2018: Ch. 5). However, Buddhist philosophy has provided us with a well-spring of normatively rich theorizing about attention from its inception. This article will address how norms of attention are dealt with in Buddhaghosa’s (5th-6th CE) claims about how (...) wholesome forms of empathy can go wrong. Through this analysis, I will show that Buddhist philosophers like Buddhaghosa think there is an existential norm of attention, one that commands us not just to pay attention to ourselves and the world properly, but one whereby we are exhorted to attend to ourselves in a way that gradually transforms our cognitive-emotional constitution so that we become liberated from suffering. (shrink)

Abstract: As the integration of Artificial Intelligence (AI) continues to permeate various sectors, the legal domain stands on the cusp of a transformative era. This research paper delves into the multifaceted relationship between AI and the law, scrutinizing the profound implications and innovative applications that emerge at the intersection of these two realms. The study commences with an examination of the current landscape, assessing the challenges and opportunities that AI presents within legal frameworks. With an emphasis on efficiency, accuracy, and (...) accessibility, AI technologies are reshaping traditional legal processes, ranging from document analysis and contract review to predictive legal analytics. Furthermore, the paper scrutinizes the ethical considerations and potential biases inherent in AI algorithms, exploring the delicate balance between technological advancements and the preservation of legal principles such as fairness, accountability, and transparency. The research also delves into the evolving role of legal professionals in navigating and overseeing AI applications, emphasizing the importance of responsible AI deployment. Drawing on case studies and real-world examples, this paper showcases instances where AI has already demonstrated its efficacy in legal contexts, highlighting successful implementations and identifying areas for improvement. The discussion extends to the evolving regulatory landscape, as legal systems grapple with the need to adapt and establish frameworks that ensure the responsible and ethical use of AI technologies. In conclusion, this research contributes to the growing discourse on the dynamic interplay between AI and the legal domain. By illuminating the potential benefits, ethical considerations, and regulatory challenges, it provides a comprehensive overview for legal practitioners, policymakers, and technologists alike, fostering a nuanced understanding of the evolving landscape where artificial intelligence intersects with the law. (shrink)

Among the works of the ancient Greek satirist Lucian of Samosata, well-known for his scathing and obscene irony, there is the novel True History. In this work Lucian, being in an intense satirical mood, intended to undermine the values of the classical world. Through a continuous parade of wonderful events, beings and situations as a substitute for the realistic approach to reality, he parodies the scientific knowledge, creating a literary model for the subsequent writers. Without doubt, nowadays, Lucian’s large influence (...) on the history of literature has been highlighted. What is missing is pointing out the specific characteristics that would lead to the placement of True History at the starting point of Science Fiction. We are going to highlight two of these features: first, the operation of “cognitive estrangement”, which aims at providing the reader with the perception of the difference between the convention and the truth, and second, the use of strange innovations (“novum”) that verify the value of Lucian’s work by connecting it to historicity. (shrink)

[COMMENTARY on Walter Veit's "A Philosophy for the Science of Animal Consciousness"] The framework Veit introduces for animal consciousness turns on finding and articulating its evolutionary origins. Veit argues that consciousness first evolved as affective experience in the Cambrian period. His argument centers around the plausible need of organisms in the Cambrian for a common currency of subjective valuation. I argue that such an adaptive pressure is unlikely to result in affective experience. I review other processes that instantiate common currencies (...) of subjective valuation: unconscious (non-experiential) affect and the reward learning system and argue that each is likely to have evolved prior to affective experience. (shrink)

Despite the end of the Cold War and the ascendancy of liberal democracy celebrated by Francis Fukuyama as “the end of history”, a growing number of scholars and political activists point to its inherent shortcomings. However, they have tended to dismiss it on the basis of one or two of its salient weaknesses. While this is a justifiable way to proceed, it denies the searching reader an opportunity to see the broad basis for the growing rejection of liberal democracy among (...) African political theorists. Consequently, in this article, I argue that from an African perspective, the almost hegemonic status of liberal democracy can be challenged on at least five grounds, namely, logical inconsistency, impracticability due to the largely communalistic outlook of many africans, inconsistency between affirmation and action, violation of the right to ethnic identity, and the moral imperative to assert the right to cultural emancipation. -/- I conclude by calling upon African and Africanist political theorists to utilise indigenous African political thought, coupled with emancipatory aspects of political thought from other parts of the world, to design practicable models of democracy for contemporary African states. I further conclude that in order to promote genuine inter-cultural dialogue on democratisation, people from Western cultures ought to acknowledge the equality of all cultures, and to recognise that systems of governance are part and parcel of those cultures. (shrink)

Charges of inconsistency are frequently made against opponents of abortion for failing to ‘live out’ their beliefs. One such popular charge is that opponents of abortion are inconsistent for failing to ‘adopt the babies they don’t want aborted’—in this chapter, I will focus on a slightly broader version of this charge. I will understand adoption* broadly to include adopting and/or fostering children, as well as concretely supporting the systems involved in facilitating adoption and foster care through financial means, volunteering, and/or (...) advocacy. I will argue that opponents of abortion do not have special obligations to adopt* for the reasons often presumed, and thus are not inconsistent for failing to do so. However, I will go on to argue that they nevertheless have compelling reasons to do so—to decrease future abortions and oppose abortion with integrity. (shrink)

Cognitive categories in the geographic realm appear to manifest certain special features as contrasted with categories for objects at surveyable scales. We have argued that these features reflect specific ontological characteristics of geographic objects. This paper presents hypotheses as to the nature of the features mentioned, reviews previous empirical work on geographic categories, and presents the results of pilot experiments that used English-speaking subjects to test our hypotheses. Our experiments show geographic categories to be similar to their non-geographic counterparts in (...) the ways in which they generate instances of different relative frequencies at different levels. Other tests, however, provide preliminary evidence for the existence of important differences in subjects’ categorizations of geographic and non-geographic objects, and suggest further experimental work especially with regard to the role in cognitive categorization of different types of object-boundaries at different scales. (shrink)

The study aims to analyze the impact of top management support for strategic planning on crisis management in UNRWA-Gaza Strip field in Palestine. Several descriptive analytical methods were used for this purpose, and a survey as a tool for data collection. Community size was (881), and the study sample was stratified random (268). The overall findings of the current study show that top management provides needed HR for strategic planning but with no financial support. Also there are shortcomings in the (...) way that organization manages the crises before and after they occur. A crisis management is only practicing during the crisis. The study suggest that top management must provide the financial support for strategic planning, periodic meetings to prepare how to deal with potential crisis in the future, establishing a specialized team and provide them with all sources needed. (shrink)

Victims of oppressive (e.g., sexist, racist or ableist) structures sometimes internalize the unjust norms that prevail in society. This can cause these victims to develop preferences or make deci-sions that seem bad for them. Focusing on such cases, we ask: is self-discrimination disrespectful? We show that some of the most sophisticated respect theories fail to provide any clear guidance. Specifically, we show that the widely recognized view that respect has two dimensions—an interest dimension and an autonomy dimension—delivers completely opposite verdicts (...) depending on how these two dimensions (and the relation between them) are specified. A main takeaway point is that we need to distinguish between at least four different respect-based views. Whether self-discrimination caused by internalized oppression is disrespectful depends on which view one supports. (shrink)

Meaning-making plays a central role in how we deal with experiences of suffering, including those due to mental disorder. And for many, religious beliefs, experiences, and practices (hereafter, religious engagement) play a central role in informing this meaning-making. However, a crucial facet of the relationship between experiences of mental disorder and religious engagement remains underexplored—namely the potentially positive effects of mental disorder on religious engagement (e.g. experiences of bipolar disorder increasing sense of God’s presence). In what follows, I will present (...) empirical findings from two recent studies of mine which shed light on the extent to which participants experienced these positive effects, specific components of these effects, and how they fit into their understanding of their mental disorder and its relationship to their religious identity. In doing so, I will draw on and expand Tasia Scrutton’s Potentially Transformative view (2015a, 2015b, 2020) according to which mental disorders may provide opportunities for spiritual growth. My empirical results align with and help deepen an account according to which mental disorders are potentially spiritually transformative by providing further insight into such instances: specifically, which symptoms and internal and external factors are often involved, as well as which religious beliefs, experiences, and/or practices are often affected. After presenting these results and articulating their relevance for a potentially transformative view of mental disorder, I will then address some potential objections to the theoretical account as well as some limitations of the empirical work, before sketching possible promising directions for future research. (shrink)

In the Consolation of Philosophy, Lady Philosophy leads Boethius through a series of obstacles that prevent him from finding happiness within his prison cell: the role that luck and misfortune play in our affairs, the false paths to happiness in comparison with the true journey, the problem of evil and the disproportion between people’s lives and eschatological deserts, and, finally, whether God’s providential order necessitates our outcomes or if we can choose freely to pursue the happy life. As the pair (...) discuss each problem, the same argumentative move and countermove play out. Boethius, forgetful of what he had learned from Philosophy long ago on account of his grief, blames the very nature of reality itself for each of the problems that beset him. He thinks that Fortune has taken from him all that is good and that God’s providence only extends to the non-human world. Philosophy, by contrast, argues in each case that the problem at hand is, in fact, no problem at all when we see reality rightly. In each case, Philosophy shows that it isn’t reality that’s to blame for the problem at hand but instead human ignorance’s misunderstanding of the true nature of reality. Boethius’s conversation with Philosophy showcases a puzzling feature of self-knowledge: on the one hand, too much attention to the world (e.g., fortune’s wiles) is the problem and self-inquiry (e.g., the nature of one’s desires) is the solution, but on the other hand, too much attention to one’s self (e.g., attention to passions and limitations) is the problem and turning toward recognizing the true structure of the world is the solution. Philosophy seems to indicate that both poles are true, and the task is to determine how best to clarify how. After showcasing the dialogue’s argumentative pattern, I argue that, in Boethius’s case, each of his problems, as well as his misery in general, are caused by his ignorance and self-deception. Boethius’s ignorance is, in this case, the more proximate cause of his misery, but underlying his ignorance is an act of self-deception that causes him to be ignorant in the first place. As Philosophy tells Boethius early on, he already knows what she plans to teach him (more accurately, of what she plans to remind him). Nevertheless, he has forgotten what he has known and, as a result, is more the architect of his own misery than is Fortune or any of the events that have befallen him. Wounded by grief, he has allowed his affective response to his misfortune to becloud his understanding. As Philosophy says, he is unhappy because he has “forgotten what he is.” He has forgotten himself precisely because of the way in which he has allowed his affective responses to rule in his soul. Hence, while the ultimate cure for Boethius’s misery will be a newly rediscovered knowledge that reality itself is providentially structured, Philosophy must begin by soothing Boethius’s passions and undoing the damage that they have wrought on his understanding of the world. Philosophy cannot turn Boethius’s intellect until she has first turned his passions (cf. Republic 518b-d), which, while still wrongly-turned and governing the soul, are liable to lead to tremendous intellectual mistakes precisely because they are blind to the true nature of reality (cf. Phaedrus 247c). I argue in conclusion that the Consolation is unified by the theme of self-deception as the primary cause of philosophical misery. Boethius is upset primarily because he has convinced himself that he is otherwise than he is and that reality is otherwise than it is rather than because of what has happened to him, contrary to his own view of things. Philosophy’s argumentative strategy suggests that self-deception can only be undone by attending to it as a problem besetting the whole soul, not just the intellectual part of the soul. We thus have good warrant for thinking that simply rational responses to ignorance will be fruitless when ignorance is caused by or accompanied by a moral failing. (shrink)

Abstract: Climate change presents a critical challenge that demands advanced analytical tools to predict and mitigate its impacts. This paper explores the role of artificial intelligence (AI) in enhancing climate modeling, emphasizing how AI-driven methods are revolutionizing our understanding and response to climate change. By integrating machine learning algorithms with diverse data sources such as satellite imagery, historical climate records, and real-time sensor data, AI improves the accuracy, efficiency, and granularity of climate predictions. The paper reviews key AI techniques, including (...) neural networks and ensemble models, and their applications in simulating extreme weather events and forecasting long-term climate trends. Additionally, it examines the impact of AI-enhanced climate models on policy-making and strategic planning. Despite significant advancements, challenges such as data quality, computational demands, and model interpretability remain. This study underscores the potential of AI to transform climate modeling and highlights areas for future research and development to harness these technologies for a sustainable future. (shrink)