The so-called “conciliatory” norm in epistemology and meta-ethics requires that an agent, upon encountering peer disagreement with her judgment, lower her confidence about that judgment. But whether agents actually abide by this norm is unclear. Although confidence is excessively researched in the empirical sciences, possible effects of disagreement on confidence have been understudied. Here, we target this lacuna, reporting a study that measured confidence about moral beliefs before and after exposure to moral discourse about a controversial issue. Our findings indicate (...) that participants do not abide by the conciliatory norm. Neither do they conform to a rival “steadfast” norm that demands their confidence to remain the same. Instead, moral discourse seems to boost confidence. Interestingly, we also find a confidence boost for factual beliefs, and a correlation between the extremity of moral views and confidence. One possible explanation of our findings is that when engaging in moral discourse participants become more extreme in their opinions, which leads them to become more confident about them, or vice versa: they become more confident and in turn more extreme. Although our work provides initial evidence for the former mechanism, further research is needed for a better understanding of confidence and moral discourse. (shrink)

School boosters are tax-exempt organizations that engage in fundraising efforts to provide public schools with supplementary resources. This paper argues that prevailing forms of school boosting are defeasibly unjust. Section 1 shows that inequalities in public education funding in the United States violate John Rawls’s two principles of domestic justice. Section 2 argues that prevailing forms of school boosting exacerbate and plausibly perpetuate these injustices. Section 3 then contends that boosting thereby defeasibly violates Rawlsian principles of nonideal theory for rectifying (...) injustice. Thus, boosting should be presumptively either made illegal or substantially reformed. Finally, Section 4 responds to potential objections. (shrink)

While several reviews on potential applications of electroculture are available, in this survey we discuss these issues from history, starting from earliest experiments by Ross. And in the last section, we discuss possible application of laserculture, another form of potential improvement. It is our hope that what we present here may be found useful for improving agricultural performance in many countries, as well as reducing dependence on fertilizer.

The study aimed to identify the strategic sensitivity and its impact on enhancing the creative behavior of Palestinian NGOs in Gaza Strip, and the study used the descriptive analytical approach and the questionnaire as a main tool for collecting data from employees of associations working in Gaza Strip governorates, and the cluster sample method was used and the sample size reached (343) individuals (298) questionnaires were retrieved, and the following results were reached: The relative weight of strategic sensitivity was 79.22 (...) (%), and the relative weight of creative behavior was 78.99 (%), a statistically significant relationship between all strategic sensitivity and creative behavior, and the presence of a sensitivity effect The strategy’s strategy on creative behavior, there are statistically significant differences in the scale dimensions attributable to the gender variable and the differences were in favor of females, there are no statistically significant differences between the averages of strategic sensitivity due to the age variable, and the educational qualification, and there were no statistically significant differences in creative behavior according to The gender variable, age, educational qualification, specialization, and the study presented a set of recommendations, the most important of which are: the need for civil organizations in Gaza Strip to seek funding from external countries in order to provide self-income for associations to face crises and give them independence Mechanism in order to keep them to carry out their role in society, the need to follow up the strategic plan of civil organizations using e-mails as they pave the way to reach excellence and creativity in the field of work. (shrink)

The simulation hypothesis can reinforce a cynical dismissal of human potential. This attitude can allow online platform designers to rationalize employing manipulative neuromarketing techniques to control user decisions. We point to cognitive boosting techniques at both user and designer levels to build critical reflection and mindfulness.

Behavioral intervention techniques leveraging reactive responses have gained popularity as tools for promoting ethical behavior. Choice architects, for example, design and present default opt-out options to nudge individuals into accepting preselected choices deemed beneficial to both the decision-maker and society. Such interventions can also employ mild financial incentives or affective triggers including joy, fear, empathy, social pressure, and reputational rewards. We argue, however, that ethical competence is achieved via reflection, and that heavy reliance on reactive behavioral interventions can undermine the (...) development of ethical competence over the long term. Specifically, drawbacks may occur through motivational displacement, dependency, moral crowding out, loss of personal autonomy, and reactance. We introduce complementary cognitive boosting techniques designed to stimulate reflective cognition, as a more promising long-term strategy for instilling ethical behavior. One such approach is the Moral Self-Awareness (MSA) motivational construct, which incrementally leads agents to increasing levels of ethical reflection. We explain why ethical boosting approaches present more edifying and durable alternatives to reactive behavioral interventions and offer suggestions for social and organizational policy. (shrink)

Imagine that we are on a train playing with some mechanical systems. Why can’t we detect any differences in their behavior when the train is parked versus when it is moving uniformly? The standard answer is that boosts are symmetries of Newtonian systems. In this paper, I use the case of a spring to argue that this answer is problematic because symmetries are neither sufficient nor necessary for preserving its behavior. I also develop a new answer according to which (...) boosts preserve the relational properties on which the behavior of a system depends, even when they are not symmetries. (shrink)

Artificial intelligence has historically been conceptualized in anthropomorphic terms. Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital isomorphism of the human brain. Others leverage more general learning strategies that happen to coincide with popular theories of cognitive science and social epistemology. In this paper, I challenge the anthropomorphic credentials of the neural network algorithm, whose similarities to human cognition I argue are vastly overstated and narrowly construed. I submit that three alternative supervised learning (...) methods—namely lasso penalties, bagging, and boosting—offer subtler, more interesting analogies to human reasoning as both an individual and a social phenomenon. Despite the temptation to fall back on anthropomorphic tropes when discussing AI, however, I conclude that such rhetoric is at best misleading and at worst downright dangerous. The impulse to humanize algorithms is an obstacle to properly conceptualizing the ethical challenges posed by emerging technologies. (shrink)

The study aimed to determine if differentiated instruction effectively addresses learning gaps in mathematics. In particular, it explored how it can improve the student’s learning gaps concerning mathematical performance and confidence. The study employed a quasi-experimental design with 30 purposively-selected Grade 10 participants divided into differentiated (n = 15) and control groups (n = 15), ensuring the utmost ethical measures. The mean and standard deviation were used to describe the participants’ performance and confidence. Independent samples t-tests were used to determine (...) the significant differences in the performance and confidence between the two groups. In contrast, dependent samples t-tests were used to determine the significant differences in each group’s pre and posttest performance and confidence. Findings bared that the differentiated instruction successfully addressed students’ performance in mathematics even in a short period. It also increased the participants’ confidence when answering fundamental problems. Continuing differentiated instruction activities are recommended since it benefits students who struggle in mathematics, particularly in answering fundamental operations. Differentiated teaching activities in mathematics can boost academic achievement and engagement and prepare students for future success while fostering a positive and inclusive classroom culture that values individual learning needs and preferences. (shrink)

It is crucial to actively detect the risks of transactions in a financial company to improve customer experience and minimize financial loss. In this study, we compare different machine learning algorithms to effectively and efficiently predict the legitimacy of financial transactions. The algorithms used in this study were: MLP Repressor, Random Forest Classifier, Complement NB, MLP Classifier, Gaussian NB, Bernoulli NB, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Bagging Classifier, Decision Tree Classifier and Deep Learning. The dataset (...) was collected from Kaggle depository. It consists of 6362620 rows and 10 columns. The best classifier with unbalanced dataset was the Random Forest Classifier. The Accuracy 99.97%, precession 99.96%, Recall 99.97% and the F1-score 99.96%. However, the best classifier with balanced dataset was the Bagging Classifier. The Accuracy 99.96%, precession 99.95%, Recall 99.98% and the F1-score 99.96%. (shrink)

The present study aimed to examine how to improve the effectiveness of moral exemplar-applied interventions based on the pillars of the Self-Determination Theory (SDT) framework, autonomy, competence, and relatedness. Past research has mainly focused on the relatedness and attainability of moral exemplars for predicting motivation outcomes. The data for this study consisted of synthesized data sets from previous studies examining the motivational impacts of distinct moral exemplars and intervention methods. The main syntheses for these data sets used Multilevel Modeling (MLM) (...) focusing on relatability, attainability, and intervention methods, corresponding to relatedness, competence, and autonomy in the SDT, respectively, as predictors. In general, there was a significant interaction effect between the attainability or relatability, and the intervention method. Autonomous instruction methods, which support autonomy, were demonstrated to boost motivational outcomes. Implications from this study support the employment of SDT to examine the use of moral exemplars in moral education and were consistent with previous exemplar studies. (shrink)

Does the capacity to think require the capacity to sense? A lively debate on this topic runs throughout the history of philosophy and now animates discussions of artificial intelligence. Many have argued that AI systems such as large language models cannot think and understand if they lack sensory grounding. I argue that thought does not require sensory grounding: there can be pure thinkers who can think without any sensory capacities. As a result, the absence of sensory grounding does not entail (...) that large language models cannot think or understand. I also consider to what extent quasi-sensory grounding can at least boost the performance of a language model. (shrink)

Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely to be diagnosed with a (...) heart disease or not using the medical features of the person. We used many different algorithms of machine learning such as Gaussian Mixture, Nearest Centroid, MultinomialNB, Logistic RegressionCV, Linear SVC, Linear Discriminant Analysis, SGD Classifier, Extra Tree Classifier, Calibrated ClassifierCV, Quadratic Discriminant Analysis, GaussianNB, Random Forest Classifier, ComplementNB, MLP Classifier, BernoulliNB, Bagging Classifier, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Gradient Boosting Classifier, Decision Tree Classifier, and Deep Learning to predict and classify the patient with heart disease. A quite helpful approach was used to regulate how the model can be used to improve the accuracy of prediction of heart diseases in any person. The strength of the proposed model was very satisfying and was able to predict evidence of having a heart disease in a particular person by using Deep Learning and Random Forest Classifier which showed a good accuracy in comparison to the other used classifiers. The proposed heart disease prediction model will enhances medical care and reduces the cost. This study gives us significant knowledge that can help us predict the person with heart disease. The dataset was collected from Kaggle depository and the model is implemented using python. (shrink)

Conceptual engineering is a philosophical method that aims to design and spread conceptual and linguistic devices to cause meaningful changes in the world. So far, however, conceptual engineers have struggled to successfully spread the conceptual and linguistic entities they have designed to their target communities. This paper argues that conceptual engineering is far more likely to succeed if it incorporates empirical data and empirical methods. Because the causal factors influencing successful propagation of linguistic or conceptual devices are as complicated and (...) interwoven as they are, proper empirical research will greatly boost the likelihood that propagation is successful. In arguing for the superiority of empirical conceptual engineering over armchair-based conceptual engineering, this paper proposes a framework for understanding the causal forces at play in propagation. This is a three-part framework between the label of a lexical item, the psychological states associated with the lexical item, and the worldly things associated with the lexical item. By understanding the way causal forces affecting propagation play out at these three levels, conceptual engineers can better conceptualize, study, and harness the different causal forces affecting the success of their conceptual engineering projects. (shrink)

Understanding quantitative research instrumentation is critical for advancing educational research, both theory and practice since it contributes to the accuracy and credibility of research findings (Creswell & Plano Clark, 2017; DeVellis, 2017; Streiner et al., 2014). Using inappropriate or poorly designed instruments can result in inaccurate or unreliable data, compromising the quality of the research findings and limiting the research's usefulness. Understanding the appropriate use of quantitative research instruments is critical from a theoretical standpoint for ensuring that research questions are (...) answered accurately. Researchers (pre-service teachers, in-service teachers, teacher educators, and educational leaders) can get high-quality data that can be used to create and test theories in a particular field by selecting and designing the relevant instrument. Furthermore, using reliable and valid quantitative research instruments can boost the credibility of research findings and aid in developing new research questions and hypotheses. From a practical perspective, understanding quantitative research instrumentation can improve the quality of research practice. Researchers can ensure that the data acquired is accurate and reliable by selecting and creating appropriate instruments, which can help to guide decision-making in a particular subject. Furthermore, reliable and valid instruments can guide policy decisions, program development, and evaluation, resulting in more effective interventions and better outcomes. Where and How to Begin? The choice of research instrument depends on the research question, the nature of the phenomenon being studied, and the available resources (Bryman, 2016; Creswell, 2014; Dörnyei, 2007; Hair et al., 2014). Researchers can acquire accurate and valid data to answer their research questions and contribute to the knowledge base in their field by carefully selecting and building instruments. In education and the social sciences, quantitative research frequently involves using various instruments or tools to collect and analyze data. (shrink)

Large language models (LLMs) represent the currently most relevant incarnation of artificial intelligence with respect to the future fate of democratic governance. Considering their potential, this paper seeks to answer a pressing question: Could LLMs outperform humans as expert advisors to democratic assemblies? While bearing the promise of enhanced expertise availability and accessibility, they also present challenges of hallucinations, misalignment, or value imposition. Weighing LLMs’ benefits and drawbacks compared to their human counterparts, I argue for their careful integration to augment (...) democracy’s ability to address complex policy issues. The paper posits that time-tested democratic procedures like deliberation and aggregation by voting provide safeguards effective against both human and machine advisor imperfections. Additional protective measures include custom LLM training for the advisory role, boosting representatives’ competencies in query formulation, or implementation of adversarial proceedings in which LLM advisors could debate each other and provide dissenting opinions. These could further mitigate the risks that LLMs present in advisory roles and empower human decision-makers toward increased autonomy and quality of their collective choices. My conceptual exploration offers a roadmap for the co-evolution of AI and democratic institutions, setting the stage for an empirical research agenda to finetune the implementation specifics. (shrink)

Deep Ecology, the Voluntary Human Extinction Movement (VHEMT), and Anti-Civilization Primitivism have frequently been labeled as radical environmental ideologies, owing to their relationship with activities conducted by environmental extremists. Nonetheless, given the serious concerns faced by climate change and biodiversity loss, it is critical to engage with a broad range of perspectives and techniques. Such participation allows us to have access to a greater range of perspectives and a more diverse pool of knowledge, boosting our capacity for creative problem-solving. The (...) purpose of this essay is to reconsider the underlying concepts and principles that drive these theories, as well as to assess their relevance in tackling modern environmental issues. We think that Deep Ecology, the Voluntary Human Extinction Movement (VHEMT), and Anti-Civilization Primitivism should be called "unconventional" or "distinctive" rather than "radical," because they primarily focus on the ontological perspective but do not urge extreme acts. Meanwhile, their distinctiveness helps increase public awareness about environmental issues and promote reflection on and rethinking of the ontological link between mankind and the natural world. (shrink)

Filipino's love for the elderly is undeniable. However, despite the respect they have for the elderly, an increasing amount of elderly abandonment is rising in the Philippines. The drastic increase in statistics of abandonment will still grow over the years because aging is inevitable. The primary goal of this study is to dig deeper into the experiences, challenges, and coping mechanisms of abandoned senior citizens inside of a home for the aged to spread awareness about this certain topic. By the (...) use of Interpretative Phenomenological Analysis, the study come up with the following findings: (1) The abandoned senior citizens chose to be inside the facility because they don't want to be a burden in their original homes. (2) Faith and religious works affect their psychological well-being. (3) Physical appearance does not affect their self-esteem. (4) Social support boosts their psychological well-being as well. (5) One of the biggest reasons why abandoned senior citizens left their homes is being neglected to cause them to leave and stay in home for the aged (6) Lastly, people inside the facilities accepted the fact that death is drawing closer to them but they don't want to die yet. (shrink)

According to some, the current political fracture is best described as political polarization – where extremism and political separation infest an entire whole population. Political polarization accounts often point to the psychological phenomenon of belief polarization – where being in a like-minded groups tends to boost confidence. The political polarization story is an essentially symmetrical one, where both sides are subject to the same basic dividing forces and cognitive biases, and are approximately as blame-worthy. On a very different account, what's (...) going on is best described propaganda – where a discrete set of bad actors have manipulated some part of the media environ-ment. The propaganda story is usually told as a highly asymmetrical story, where only some media consumers are under the spell of the propagandists. Which is right? I consider two analyses of the 2016 American election: Robert Talisse's polarization-style account in Overdoing Democracy, and Benkler et. al.'s propaganda-style account in Network Propaganda. I suggest that the propaganda account has better empirical support. I also offer a diagnosis of the appeal of the polarization story. Those who accept a polarization account are often political centrists, who accuse those at the political extremes of motivated reasoning – of believing what they find comfortable. Such centrists also tend to treat political extremism as the product of the irrational belief polarization, arising from living in like-minded groups. But, I argue, these arguments are too quick. First, we can’t dismiss a group as irrational merely be-cause they are likeminded. The existence of like-minded group can be explained in terms of irrational belief polarization, but it can also be explained by rational convergence on the truth. Second, belief polarization is not always irrational, such as when its emotional effects are used to repair impaired self-confidence. Third, political centrists are also subject to similar debunking argument. When we accept a polarization account, we get to feel the comfort of being “above it all”. Political centrists are just as plausibly subject to the irrational effects of living in like-minded groups. Belief polarization isn’t just for extremists. (shrink)

Learning to adapt to the new set of conditions that confound behavioral standards was made possible by the pandemic-driven change in the school system. Due to these conditions and the COVID-19 pandemic, students may experience behaviors like social media addiction and social anxiety that may affect their well-being or happiness. Thus, this study aims to investigate the effects of social media addiction and social anxiety on the happiness of tertiary students amidst the COVID-19 pandemic. The study was conducted on 316 (...) first-year college students utilizing Google forms to disseminate questionnaires. After utilizing Bergen Social Media Addiction Scale, Social Anxiety Scale, and Oxford Happiness Questionnaire, it was found that social media addiction (β = -0.30, p<.00) and social anxiety (β = -0.003, p<.00) has a significant negative effect on happiness. Therefore, the study recommended and designed a student wellness program that provides a range of recreational, healthimproving, self-esteem-boosting, and relationship-strengthening activities for students in order to mitigate the negative effects of problematic social media usage and social anxiety that negatively effect their happiness. (shrink)

Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely to be diagnosed with a (...) heart disease or not using the medical features of the person. We used many different algorithms of machine learning such as Gaussian Mixture, Nearest Centroid, MultinomialNB, Logistic RegressionCV, Linear SVC, Linear Discriminant Analysis, SGD Classifier, Extra Tree Classifier, Calibrated ClassifierCV, Quadratic Discriminant Analysis, GaussianNB, Random Forest Classifier, ComplementNB, MLP Classifier, BernoulliNB, Bagging Classifier, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Gradient Boosting Classifier, Decision Tree Classifier, and Deep Learning to predict and classify the patient with heart disease. A quite helpful approach was used to regulate how the model can be used to improve the accuracy of prediction of heart diseases in any person. The strength of the proposed model was very satisfying and was able to predict evidence of having a heart disease in a particular person by using Deep Learning and Random Forest Classifier which showed a good accuracy in comparison to the other used classifiers. The proposed heart disease prediction model will enhances medical care and reduces the cost. This study gives us significant knowledge that can help us predict the person with heart disease. The dataset was collected from Kaggle depository and the model is implemented using python. (shrink)

Recent AI progress led to a boost in beneficial applications from multiple research areas including VR. Simultaneously, in this newly unfolding deepfake era, ethically and security-relevant disagreements arose in the scientific community regarding the epistemic capabilities of present-day AI. However, given what is at stake, one can postulate that for a responsible approach, prior to engaging in a rigorous epistemic assessment of AI, humans may profit from a self-questioning strategy, an examination and calibration of the experience of their own epistemic (...) agency – especially to counteract both intentional misdirection by unethical actors and unintentional epistemic self-sabotage. In this paper, we expound on a new avenue of utilizing AIVR tools to advance an AI-related misdirection awareness of humans in the deepfake era. Firstly, we harness scientific knowledge from the psychology and neuroscience of magic where the study of misdirection techniques is center stage. Secondly, we connect the latter to creativity research linking human creative potential to inspiration from the seemingly impossible. Overall, AIVR could become an empowering experiential testbed for human epistemic agency enabling a better rational evaluation of AI capabilities. However, a misuse of the same type of tools could yield AIVR safety risks if not counteracted preemptively. (shrink)

Misconceived Consent: Miguel has stage IV lung cancer. He has nearly exhausted his treatment options when his oncologist, Dr. Llewellyn, tells him about an experimental vaccine trial that may boost his immune response to kill cancer cells. Dr. Llewellyn provides Miguel with a consent form that explains why the study is being conducted, what procedures he will undergo, what the various risks and benefits are, alternative sources of treatment, and so forth. She even sits down with him, carefully talks through (...) the most important points, and gives him time to ask questions. Though it is a Phase 1 study and the chance that he will benefit is very low, Miguel happily agrees to take part. A week later, after the first experimental injection, she asks him if he is worried about the risks. “Risks?” he asks. “I’m sure this is safe—you’re a doctor, after all!”. (shrink)

It is often said in physics that if two models of a theory are related by a symmetry, then the two models provide (or could provide) two different representations of the very same situation, alike the case of two maps of different color for the very same city. It is also said that the situations represented by two models of a theory are indiscernible in some ways when the models in question are related by a symmetry of the theory, just (...) like the situation in the interior of the cabin of a train when the train is at rest in the station is empirically indiscernible from the situation in the interior when the train is moving uniformly (in classical mechanics, these two situations are represented by two models related by a boost). In recent years, philosophers of physics have focused a lot of attention in developing various principles that aim to elucidate these and similar remarks on symmetries, models, physical equivalence, and representation that are widespread in physics practice. The goal of the current article is to provide a critical review of these principles, and suggest a new framework for thinking about these kinds of questions. One important upshot of the paper is that questions of indiscernibility, and questions of the representational capacity of models, must be distinguished from one another. (shrink)

Evidence that minds are neural electromagnetic fields comes from research into how separate brain activities bind to form unified percepts and unified minds. Explanations of binding using synchrony, attention, and convergence are all problematic. But the unity of EM fields explains binding without these problems. These unified fields neatly explain correlations and divergences between synchrony, attention, convergence, and unified minds. The simplest explanation for the unity of both minds and fields is that minds are fields. Treating minds as the fields' (...) underlying, intrinsic nature has the further virtue of avoiding mind-body problems. There's also rising evidence that EM fields interact with brains. McFadden argues here that fields help shift the focus of attention by initiating synchrony in different neural networks, which boosts their own fields and thereby binds their activity. This evidence that minds are fields that bind and guide brain activities supports free will over epiphenomenalism and supervenience. (shrink)

The book titled The Collaborative Economy in Action: European Perspectives is one of the important outcomes of the COST Action CA16121, From Sharing to Caring: Examining the Socio-Technical Aspects of the Collaborative Economy that was active between March 2017 and September 2021. The Action was funded by the European Cooperation in Science and Technology - COST. The main objective of the COST Action Sharing and Caring is the development of a European network of researchers and practitioners interested in investigating the (...) collaborative economy models, platforms, and their socio-technological implications. The network involves scholars, practitioners, communities, and policymakers. The COST Action Sharing and Caring helped to connect research initiatives across Europe and enabled scientists to develop their ideas by collaborating with peers. This collaboration opportunity represented a boost for the participants’ research, careers, and innovation potential. The main aim of this book is to provide a comprehensive overview of the collaborative economy in European countries with a variety of its aspects for a deeper understanding of the phenomenon as a whole. For this reason, in July 2017, an open call for country reports was distributed among the members of the COST Action Sharing and Caring. Representatives of the member countries were invited to produce short country reports covering: definition of the CE; types and models of the CE; key stakeholders involved; as well as legislation and technological tools relevant for the CE. Submitted reports varied in length and regarding the level of detail included, in accordance with how much information was available in each respective country at the time of writing. Editors of the book have compiled these early reports into a summary report, which was intended as a first step in mapping the state of the CE in Europe. The Member Countries Report on the Collaborative Economy, edited by Gaia Mosconi, Agnieszka Lukasiewicz, and Gabriela Avram that was published on the Sharing and Caring website, represented its first synergetic outcome and provided an overview of the CE phenomenon as interpreted and manifested in each of the countries part of the network. Additionally, Sergio Nassare-Aznar, Kosjenka Dumančić, and Giulia Priora compiled a Preliminary Legal Analysis of Country Reports on Cases of Collaborative Economy. In 2018, after undertaking an analysis of the previous reports’ strengths and weaknesses, the book editors issued a call for an updated version of these country reports. Prof. Ann Light advised the editorial team, proposing a new format for country reports and 4000 words limit. The template included: Introduction, Definition, Key Questions, Examples, Illustration, Context, Developments, Issues, Other Major Players, and Relevant Literature. The new template was approved by the Management Committee in October 2018. The task force that had supported the production of the first series of country reports acted as mentors for the team of authors in each country. The final reports arrived at the end of 2018, bringing the total number of submissions to 30. A call for book editors was issued, and a new editorial team was formed by volunteers from the participants of the COST Action: Andrzej Klimczuk, Vida Česnuityte, Cristina Miguel, Santa Mijalche, Gabriela Avram, Bori Simonovits, Bálint Balázs, Kostas Stefanidis, and Rafael Laurenti. The editorial team organized the double-blind reviews of reports and communicated to the authors the requirements for improving their texts. After reviews, the authors submitted updated versions of their country reports providing up-to-date interdisciplinary analysis on the state of the CE in 2019, when the reports were collected. During the final phase, the chapters were again reviewed by the lead editors together with all editorial team members. At the time, the intention was to update these reports again just before the end of the COST Action Sharing and Caring in 2021 and to produce a third edition. However, the COVID-19 pandemic changed these plans. Thus, this final volume was created by 82 scholars-editors and contributors-and consists of reports on 27 countries participating in the COST Action. M4 - Citavi. (shrink)

The study’s goal was to provide an educational intervention in Algebra through GeoGebra that would boost students’ confidence, improve their learning, and correct their most minor mastered skills, allowing them to improve their Algebra performance. The research design was quasi-experimental, with 40 nonrandomly chosen participants comprising the GeoGebra and control groups. Mean and standard deviation was employed to describe the algebra performance and confidence of the respondents. At the same time, independent and dependent t-tests were used to determine the students’ (...) significant difference in algebra performance and confidence in the pre-and post-test between the control and GeoGebra groups. GeoGebra effectively improved algebra confidence, enhanced learning, and remedied the students’ least mastered skills. GeoGebra is recommended as an instructional material in teaching and learning Algebra and can be extended to other mathematics content areas. (shrink)

Recently, a friend of one of these writers told her story of using one of a healthcare product to activate her stem cells as part of regenerative medicine. Regenerative medicine is a field of medicine that seeks to repair or replace damaged or diseased tissues and organs. This can be done through a variety of methods, including stem cell therapy, tissue engineering, and gene therapy. This is a short review article on this rapid field called regenerative medicine, in particular via (...) a new method called photobiomodulation, especially by virtue of low-intensity laser pen treatment. Hopefully it will attract more research in this interesting direction, both for laser/photobiomodulation to boost plant growth as well as in healthcare (see also: Christianto & Smarandache, 2022; Christianto, 2023). (shrink)

This study assessed students’ personnel management and academic effectiveness in terms of punctuality to classes, time management, study habits, record keeping, attitudes during classes, note taking, attitudes towards assignment, examination results and attitudes towards co-curricular activities in Calabar Education Zone of Cross River State. Three null hypotheses were formulated accordingly to guide the study following a descriptive survey research design. Proportionate sampling technique was employed in selecting a sample of 1,934 students (representing 20%) from a population of 9,672 students. Students’ (...) Personnel Management and Academic Effectiveness Questionnaire (SPMAEQ) was used as an instrument for data collection. The instrument yielded reliability estimates of .86 and .93 for the independent and dependent variables using Split-half technique. The null hypotheses were all tested at .05 level of significance using Pearson Correlation Matrix with the aid of SPSS v25. Findings from the study revealed among others that; students' counseling, healthcare, and discipline management respectively, are significantly related to students' academic effectiveness in terms of punctuality to classes, time management, study habits, record keeping, attitudes during classes, note taking, attitudes towards assignment, examination results and attitudes towards co-curricular activities. It was concluded generally from the findings of this study that, there is a moderate positive relationship which is statistically significant between students’ personnel management and their academic effectiveness. It was recommended amongst others that; there should be adequate employment and supply of professional guidance counselors to all secondary schools to boost the psychological levels of students and make them emotionally prepared for academic and co-curricular activities in the school. (shrink)

Recent research in the field of social robotics has shed light on the considerable role played by biases in the design of social robots. Cues that trigger widespread biased expectations are implemented in the design of social robots to increase their familiarity and boost interaction quality. Ethical discussion has focused on the question concerning the permissibility of leveraging social biases to meet the design goals of social robotics. As a result, integrating ethically problematic social biases in the design of robots-such (...) as, e.g., discriminatory gender stereotypes-has been opposed as morally unacceptable. Building on this debate, the present paper explores a related but different question: would it be permissible to design social robots in ways that intentionally challenge widespread discriminatory social biases, thus fostering moral education? The analysis shows that, while the potential benefits of such a design strategy could be significant, its practical endorsement raises important ethical issues. Hence, caution and further discussion are advised. (shrink)

This piece is a comment on Quilty-Dunn, Jake, Nicolas Porot, and Eric Mandelbaum. 2023. “The Best Game in Town: The Reemergence of the Language-of-Thought Hypothesis across the Cognitive Sciences.” Behavioral and Brain Sciences 46: e261. -/- The target article signal boosts important ongoing work across the cognitive sciences. However, its theoretical claims, generative value, and purported contributions are – where not simply restatements of arguments extensively explored elsewhere – imprecise, noncommittal, and underdeveloped to a degree that makes them difficult (...) to evaluate. The article's apparent force results from engaging with straw rather than steel opponents. (shrink)

One of the most attractive, but nevertheless highly controversial proposals to alleviate the negative effects of today’s international patent regime is the Health Impact Fund (HIF). Although the HIF has been drafted to facilitate access to medicines and boost pharmaceutical research, we have analysed the burdens for the global poor a similar proposal designed to promote the use and development of climate-friendly technologies would have. Drawing parallels from the access to medicines debate, we suspect that an analogous “Climate Impact Fund” (...) will increase the already very high scientific and technological supremacy of the developed world over the Global South. We advocate countering this dominance on the ground that countries with scarce research and development capacities will be in a difficult position to reject technologies and will not have a say on how such technologies should look like. Further, addressing global hazards should be an inclusive endeavour and not only a privilege reserved for the developed world. Incentivizing grassroots innovation would be a major step to promote scientific and technological inclusion. (shrink)

Given the laws of our universe, the initial conditions and cosmological constants had to be "fine-tuned" to result in life. Is this evidence for design? We argue that we should be uncertain whether an ideal agent would take it to be so—but that given such uncertainty, we should react to fine-tuning by boosting our confidence in design. The degree to which we should do so depends on our credences in controversial metaphysical issues.

Coherentism maintains that coherent beliefs are more likely to be true than incoherent beliefs, and that coherent evidence provides more confirmation of a hypothesis when the evidence is made coherent by the explanation provided by that hypothesis. Although probabilistic models of credence ought to be well-suited to justifying such claims, negative results from Bayesian epistemology have suggested otherwise. In this essay we argue that the connection between coherence and confirmation should be understood as a relation mediated by the causal relationships (...) among the evidence and a hypothesis, and we offer a framework for doing so by fitting together probabilistic models of coherence, confirmation, and causation. We show that the causal structure among the evidence and hypothesis is sometimes enough to determine whether the coherence of the evidence boosts confirmation of the hypothesis, makes no difference to it, or even reduces it. We also show that, ceteris paribus, it is not the coherence of the evidence that boosts confirmation, but rather the ratio of the coherence of the evidence to the coherence of the evidence conditional on a hypothesis. (shrink)

Students with high motivation to learn English as a second language become efficient language learners and ultimately acquire second language proficiency. However, demotivation in learning English as a second language remains to be a serious challenge. Thus, research-based information is needed to shed light in unravelling the factors of demotivation among second language learners and to guide teachers in putting forward practical solutions to increase students’ motivation in second language learning. This study was conducted to find out the specific factors (...) that hinder students’ desire to learn English as a second language. The researcher used descriptive research design and involved 1,302 students of Palawan State University Cuyo Campus selected through random sampling. Demotivating factors were measured using a modified questionnaire with reliability index of 0.85. Students’ self-confidence, learning content and context, focus of teaching and school facilities are revealed as demotivation to second language learning. The findings of this study may guide English teachers in designing teaching-learning contexts that are interesting and can boost student’s confidence in using English as a second language. It is also beneficial to policymakers and curriculum developers so that necessary policies may be implemented to improve school facilities, teaching strategies, and learning content and context. (shrink)

Since the concept of “nudge” was introduced in 2008 by Thaler and Sunstein, proposing that small interventions based on changes in choice architectures can alter people’s behavior and make it easier for them to achieve their desired goals, the application in public policy of behavioral economics has gained significant attention. This has led to the emergence of different types of policies based on behavioral insights, which have been used in a variety of areas, including health or finance, with the goal (...) of promoting well-being and addressing social and economic issues. After providing a basic theoretical background as a frame of reference to understand gender violence, this study explores the use of tools from the field of behavioral economics as it is applied in public policy. Regulatory (paternalistic) and non-regulatory (libertarian) interventions based on behavioral insights will be considered: nudges, boosts, shoves, budges, or sludge audits, are examined as potential interventions to use in matters related to this type of violence. After evaluating these behavioral policy instruments and their potential effectiveness, the limitations of the behavioral perspective are recognized, and the need for a multifaceted approach to combating gender violence is acknowledged. The article concludes by arguing that public policies addressing gender violence should not only utilize behavioral tools but should also incorporate strategies related to education, legislation, and social norms. (shrink)

Desde que en 2008 se introdujera el concepto de nudge en el libro Nudge, que argumentaba que las pequeñas intervenciones basadas en cambios en la arquitectura de elección pueden alterar el comportamiento de las personas y facilitarles el logro de sus objetivos deseados, el uso de la economía del comportamiento en políticas públicas ha crecido significativamente, lo que ha llevado a la aparición de diferentes intervenciones basadas en conocimientos conductuales. Estas intervenciones se han aplicado en distintas áreas de políticas públicas (...) y administrativas, incluyendo salud, finanzas, o medio ambiente, con el objetivo de promover el bienestar y abordar problemas sociales y económicos. El uso de estas aplicaciones en cuestiones relacionadas con la violencia de género ha sido con frecuencia ignorado. De este modo, el objetivo de este estudio es analizar el uso de herramientas de la economía del comportamiento en políticas públicas, como nudges, boosts o auditoría de sludges y su aplicación a asuntos relacionados con este tipo de violencia. Al mismo tiempo que se señalan los posibles beneficios de su uso, también se reconocen las limitaciones del enfoque conductual, apuntando a la necesidad de una aproximación multifacética para combatir dicha violencia. Así, las políticas públicas que traten con violencia de género debe. (shrink)

Computers may help us to better understand (not just verify) arguments. In this article we defend this claim by showcasing the application of a new, computer-assisted interpretive method to an exemplary natural-language ar- gument with strong ties to metaphysics and religion: E. J. Lowe’s modern variant of St. Anselm’s ontological argument for the existence of God. Our new method, which we call computational hermeneutics, has been particularly conceived for use in interactive-automated proof assistants. It aims at shedding light on the (...) meanings of words and sentences by framing their inferential role in a given argument. By employing automated theorem reasoning technology within interactive proof assistants, we are able to drastically reduce (by several orders of magnitude) the time needed to test the logical validity of an argu- ment’s formalization. As a result, a new approach to logical analysis, inspired by Donald Davidson’s account of radical interpretation, has been enabled. In computational hermeneutics, the utilization of automated reasoning tools ef- fectively boosts our capacity to expose the assumptions we indirectly commit ourselves to every time we engage in rational argumentation and it fosters the explicitation and revision of our concepts and commitments. (shrink)

Due to the outbreak of COVID-19 many families experience the threat of the COVID-19. This study aims to explore the lived experiences, challenges, and coping mechanisms of COVID-19 Family Survivors. The study employed the Interpretative Phenomenological Analysis with ten (10) participants. Based on the findings, the following conclusions were drawn: (1) Most of the participants consulted health professionals for their medications and advised herbal medicines in boosting their immune system. (2) Family survivors had to make adaptations to their daily routines (...) and established stringent health standards in their homes, such as separating the parents' and children's rooms, using disposable utensils, and ensuring that every surface of their homes was clean. (3) They were able to meet their necessities due to the generosity of their neighbors. These people were helped financially by their employers, neighbors, churchmates, and loved ones. Similarly, the government offered a different forum for the COVID-19 Family survivors to receive help and assistance. (4) Despite the hardships they faced, COVID-19 family survivors did not lose hope that they would be cured of COVID-19. These people tried their hardest to maintain their health by eating good meals, sleeping early, obtaining enough sunlight in the morning, and carefully selecting the vitamins they took. (5) Finally, despite the difficult battle against COVID19, these individuals grew resilient by building their spiritual lives, exercising their faith, and being brave for the sake of their loved ones. (shrink)

Learning mathematics through distance education can be challenging, with the “logical” and “rewarding” nature proving difficult to measure. This article aimed to articulate an argument explaining the “logical” and “rewarding” nature of online mathematics learning, elucidating their causal factors. Existing data from the literature that involving students at Visayas State University, Philippines, were utilized in this study. The study used statistical measures to capture descriptions from the data, and quantile regression analysis was employed to forecast the predictors of the logicality (...) and rewarding nature of learning mathematics at a distance. Results indicate that learning mathematics in the new normal is perceived as “logical” and moderately “rewarding”. The regression and correlation analyses revealed a significant positive association between the perceived “logical” nature and the rewarding experience of learning mathematics. The constructed statistical models depicted that the determinants of logicality in learning mathematics include family income, money spent on the internet, learning environment, household size, social status, and health. Moreover, causal factors such as family income, money spent on the internet, learning environment, leisure activities, social status, and health significantly determine the rewarding nature of learning mathematics online. Conclusively, institution must support college students with their online learning needs. Furthermore, mathematics instructors should create lively and exciting online discussions that boost their logical thinking. Providing problem-solving task that are intrinsically rewarding can contribute to a more fulfilling learning experience. (shrink)

AI-powered records science is revolutionizing the way facts are analyzed and understood. It can significantly improve the exceptional of information evaluation and boost its speed. AI-powered facts technological know-how enables access to more extensive, extra complicated information sets, faster insights, faster trouble solving, and higher choice making. Using the use of AI-powered information technological know-how techniques and tools, organizations can provide more accurate outcomes with shorter times to choices. AI-powered facts technology also offers more correct predictions of activities and developments (...) and superior accuracy in sample reputation.Furthermore, AI-powered facts science techniques can help agencies discover anomalies in datasets, learn new patterns, and better understand the points. This paper discusses the advantages of AI-powered statistics science and how it may enhance data analysis. It additionally discusses a number of the challenges going through organizations in imposing AI-powered records science projects and gives excellent practices for deploying and coping with records technology projects. (shrink)

Abstract: People all over the world have been drinking tea for thousands of centuries, and for good reason. Many types of teas can help you stay healthy by boosting your immune system, reducing inflammation, and even preventing cancer and heart disease. There is sufficient material to show that regularly consuming tea can improve your health over the long term. A deep learning model that categorizes tea disorders has been completed. When focusing on the tea, we must also focus on and (...) take into account the diseases that harm it. The aim of this paper is to diagnose tea diseases based on a dataset containing 8000 picture and 8 classes .The model gave the final accuracy test with an F1-score of 99.41% in an estimated time 3 second, as with these results it proved its effectiveness and good ability in the classification test. (shrink)

Due to the COVID-19 outbreak, education was interrupted. To continue offering high-quality education led to a dramatic transition away from face-to-face instruction and to blended learning. However, modular distance learning, as one of the adaptable learning modes, was chosen by most parents. Hence, this study seeks to determine the role of parents in the effectiveness of modular distance learning during the COVID-19 pandemic era, ascertain whether there is a relationship between the parents’ roles and their backgrounds, determine whether there is (...) a relationship between the parents’ backgrounds and the children’s academic performance and determine whether the child’s educational performance was related to the role of the parents. A survey questionnaire was used to acquire information on the parents’ profiles and the role they played or did not play. Mean, frequency count, and Spearman correlation were used to analyze the data. Results showed a relationship between parents’ profiles and roles in their child’s academic achievement. The children’s academic performance in modular distance learning is boosted, mainly if the parents work and earn a higher income. Modular distance learning is effective when parents act as friendly teachers and motivators for their children and are employed in either public or private agencies. -/- . (shrink)

As more objections have been raised against grant peer-review for being costly and time-consuming, the legitimate question arises whether machine learning algorithms could help assess the epistemic efficiency of the proposed projects. As a case study, we investigated whether project efficiency in high energy physics can be algorithmically predicted based on the data from the proposal. To analyze the potential of algorithmic prediction in HEP, we conducted a study on data about the structure and outcomes of HEP experiments with the (...) goal of predicting their efficiency. In the first step, we assessed the project efficiency using Data Envelopment Analysis of 67 experiments conducted in the HEP laboratory Fermilab. In the second step, we employed predictive algorithms to detect which team structures maximize the epistemic performance of an expert group. For this purpose, we used the efficiency scores obtained by DEA and applied predictive algorithms – lasso and ridge linear regression, neural network, and gradient boosted trees – on them. The results of the predictive analyses show moderately high accuracy, indicating that they can be beneficial as one of the steps in grant review. Still, their applicability in practice should be approached with caution. Some of the limitations of the algorithmic approach are the unreliability of citation patterns, unobservable variables that influence scientific success, and the potential predictability of the model. (shrink)

Remco Heesen has recently argued in favor of the editorial practice of triple-anonymous review on the grounds that ``an injustice is committed against certain authors'' under non-anonymous review. On the other hand, he concedes that the information waste of triple-anonymous review does handicap editors, in particular sacrificing a boost in the average quality of accepted papers that would otherwise be conferred by non-anonymous review. In this paper it is observed that by devoting comparatively greater reviewing resources to the papers of (...) unfamiliar authors, editors practicing non-anonymous review can, without loss of information, avoid subjecting authors to the sorts of injustices observed by Heesen. Thus they can reap the efficiency gains of non-anonymous review without sacrificing fairness. (shrink)

Background/purpose – This study analyzed the contribution of three mentorship practices relatively and cumulatively to the research productivity of early-career academics in the field of educational psychology in universities. The study was conducted in the South- South region of Nigeria. -/- Materials/methods – The research method adopted was the quantitative approach, following the ex-post facto research design. The study’s population covered 723 early-career researchers (ECRs) in educational psychology distributed across 19 universities located in South-South Nigeria. The “Mentorship Practices and Research (...) Productivity Questionnaire” (MPRPQ) was the instrument used for data collection. The questionnaire was designed by the researchers and then validated by three experts. Reliability analysis was performed using the Cronbach approach with estimates of .80, .79, .87, and .91 obtained for the four clusters. Primary data were collected from the field after copies of the instrument had been administered to respondents. -/- Results – Mentorship practices were generally revealed to significantly contribute to the research productivity of ECRs in educational psychology in universities. Specifically, the adoption of cloning and apprenticeship approaches to mentorship contributed substantially to the ECRs’ research productivity. However, the study highlighted that nurturing contributed only negligibly to the ECRs’ research productivity. -/- Conclusion – Mentorship practices are important determinants to the research productivity of early-career educational psychologists. In order to boost the productive research capacities of ECRs, there is a need for institutions to strengthen their mentorship practices. (shrink)

I address the worry that reflective equilibrium is too weak as an account of justification because it fails to let differing views converge. I take up informal aspects of convergence and operationalise them in a formal model of reflective equilibrium. This allows for exploration by the means of computer simulation. Findings show that the formal model does not yield unique outputs, but still boosts agreement. I conclude from this that reflective equilibrium is best seen as a pluralist account of (...) justification that cannot be accused of resulting in an “anything goes” relativism. (shrink)

Available reports provide an account of academic staff’s poor job performance in higher education institutions and universities in particular. Consequently, a growing body of research has been attracted to this area, including those seeking ways to understand the problem and others aimed at proffering solutions. This study contributes to the literature by investigating the influence of occupational stress on the job performance of academic staff in universities. Three null hypotheses directed the study in line with the quantitative ex-post facto research (...) design. A sample of 150 respondents was obtained using the systematic random sampling technique from a population of 400 lecturers in the Faculty of Education from two public universities in Nigeria. A 31-item questionnaire was used for data collection. The null hypotheses were tested at the .05 alpha level using simple linear regression analysis. It was revealed that remuneration is a significant positive predictor of academic staff job performance. The prediction of workload was negatively non-significant on the job performance of academics. The provision of institutional amenities has a positive but non-significant prediction on academic staff job performance in the two public universities. It was concluded that occupational stress significantly influences the job performance of lecturers in universities. The study recommended that the government constantly pay lecturers’ salaries as and when due. Institutional managers should reward lecturers with outstanding performance to boost their morale for effective service delivery. (shrink)

Beyond reveals evidence of three of the most sought after universal and human mysteries - the origin of the universe, the location of God's spiritual dimension, and the origin of human consciousness. Beyond unveils a highly syntactic, pragmatic paradigm, a universal, interconnecting system that places access to all pre-existing potential knowledge in the possession of humanity. Dr. Sprock reveals these three discoveries as the Occam's razor (Scientific principle: All things being equal, the simplest explanation tends to be the correct one) (...) of explanations of how the universe was created, the location of God's spiritual dimension, and the origin of human consciousness. This new knowledge takes humanity to its final destination. We can now tap into the universal vault of information that is coded into the universal frequencies within the fabric of the universe that have their origin in the infinite, spiritual dimension of God consciousness. How the systems of the universe function are brought to Earth level and are explained as to how they work in everyday living situations. The emotional burden carried by humans, due to lack of understanding, of why situations and circumstances occur are lifted, freeing you to focus on your life without emotional upheavals that distract you from your destiny's path. Beneficiaries are empowered to choose anew rather than continually recall and repeat undesired patterns of resistance-attraction and self-sabotage. This knowledge will bring greater joy and prosperity into your life. All the dots of modern science and ancient scripture have been connected. The code has been cracked and now will shift the perception human consciousness has of reality, forever. This is a huge game changer for the consciousness of humankind. Once this knowledge is introduced, accepted, and then applied to your daily routines, you will receive the boost needed to surge beyond your 10-12% brain usage at this point in your history. The Bose-Einstein Condensation is in direct concurrence with Dr. Sprock's location of God consciousness; the wave/frequency aspect of Nature yields the mental/consciousness; the particle/matter aspect of Nature yields the material. Dr. Sprock applies this phenomenon to the God consciousness/human consciousness connection. Dr. Sprock takes the Condensate a step further and explains the location of God consciousness existing in a spiritual, infinite dimension that spatially extended Spiritual DNA consciousness through frequency (Wave), which then vibrated to form density particles (Matter), creating the three dimensions of the physical universe and the origin of human consciousness. The frequencies carry the codes of God consciousness to human consciousness via the physical brain and the subconscious mind hologram. (shrink)