Judgment - Science topic

Can reasoning improve moral judgments and lead to moral progress? Pessimistic answers to this question are often based on caricatures of reasoning, weak scientific evidence, and flawed interpretations of solid evidence. In support of optimism, we discuss three forms of moral reasoning (principle reasoning, consistency reasoning, and social proof) t...

Neurobiological and psychological research on the differences between adolescents and adults in criminology and psychology has provided insight into how distinctive developmental processes may contribute to juvenile involvement in crime and the legal system. Literature investigating these differences, particularly regarding deficits in psychologica...

This Public Money & Management (PMM) theme aims to provide a home for studies that explore the role of credit ratings in the context of public sector entities (PSEs). Articles measuring the degree of importance of credit rating agencies (CRAs) as stakeholders of PSEs in different jurisdictions, both comparatively and over time, as well as research...

This article studies the Japanese web novel, which, despite having come to represent a substantial segment of the Japanese market for literature over the course of two decades, remains almost unstudied in English-language academia. To analyze its case, the article examines in turn the media history of Japanese web novels, the online platforms on wh...

The paradigm of sustainable development and sustainability initially emerged in the industrial sector and supply chains and subsequently extended to the financial sector. Banks play a crucial role in the financial industry, and their sustainability significantly contributes to sustainable development within this sector. The present study aims to id...

We effortlessly categorise other people along socially relevant categories such as sex, age, and emotion. A core question in social vision relates to whether we perceive these categories independently or in relation to each other. Here, we investigated categorisation of sex and emotion from the body, finding that participants generally fail to full...

Implementing warehouse management platforms (WMPs) in Vietnam's smart reverse logistics (SRL) sector faces numerous barriers, hindering operational efficiency and competitiveness. This study develops a robust multi-stage decision-making framework to identify, analyze, and address these barriers, filling a critical research gap in SRL practices. The...

Although research highlights the importance of analyzing the geometric work of teachers, there are few validated instruments in this line. This study presents the processes of design and validation of a forced-choice questionnaire that allows the characterization, from a theoretical basis, of how geometry teachers organize their teaching practice....

The copyright system is supposed to make an institutional response to the continuous and profound development of artificial intelligence technology. Through factor analysis, the impact of AI-generated content on the copyright system is studied. With the theme of “Copyright Infringement in Artificial Intelligence Generated Content”, this paper condu...

With the expansion of enterprise scale and the increasing complexity of business operations, cost management, as a core aspect of enterprise management, directly affects an enterprise’s profitability and market competitiveness. Traditional cost management methods often rely on experience-based judgment and manual operations, making it difficult to...

Phenomenology and Fundamental Purposes of Punishment consist subjects that have been elaborated by criminologists throughout the ages, aiming to minimize vagueness and arbitrariness in the stages of threat, enforcement, and execution. The measure of judgment for assessing these issues could only be the principles enshrined in the national Constitut...

Accurate groundwater recharge assessment is crucial for sustainable water resource management, particularly in regions facing water scarcity. This study evaluates the performance of three widely used models-Analytic Hierarchy Process (AHP), Fuzzy-Analytic Hierarchy Process (Fuzzy-AHP), and Frequency Ratio (FR)-in assessing groundwater recharge pote...

Immersive learning is a teaching and learning approach that integrates technology with traditional methods of education, providing a more realistic and stimulating environment for growth. It focuses more on the experience of learning rather than if a student's answers are right or wrong. Immersive learning is hugely effective way for many learners...

Start age for formal instruction in second language varies throughout the world. Presently, In Sri Lanka, formal education in second language commences at grade three in government schools. However, deviation from the curriculum was observed as a common trend, especially in private schools. In the private school selected for the research, formal En...

Using big data analysis technology to build a professional knowledge point network is one of the hotspots of current teaching research. This paper describes the advantages of mining students’ knowledge point learning behavior data in the process of literature learning. By identifying the connotations of knowledge point models, knowledge point judgm...

It is a fundamental question in the spatial navigation literature how different spatial cues are unified to form a coherent spatial map of the space. Landmarks and self-motion cues are two major spatial cue types, which recruit relatively independent cognitive processes that dynamically interact with each other during navigation. In our previous st...

Winner of the 2017 Frank W. Beare Award for "outstanding book in the areas of Christian Origins, Post-Biblical Judaism and/or Graeco-Roman Religions." Judgment and the " parting of the ways " Major Points: • Sets out to show that the theme of divine judgement plays very different and distinct roles regarding different groups of Jews and non-Jews i...

Effective school leadership is crucial for fostering positive learning environments and driving student success. This article comparatively analyzes three distinct methods of school principalship: (1) a substance-focused, strategic growth approach with low social judgment awareness; (2) a detail-oriented, routine-based approach emphasizing social j...

Racial and ethnic discrimination is a strongly politicized issue. Across ideological divides, people discuss whether and why contemporary discriminatory practices are ethically and politically problematic. Whereas much empirical research has investigated the practical, social, and institutional boundaries and causes of discrimination, little resear...

Training affordance judgments (AJs) across different settings, such as judging whether an object is within reach or an obstacle conquerable, could be meaningful to older adults and neurological patients with diminished judgment behaviors. The long-term aim is to develop a comprehensive training battery with different types of AJ tasks. The present...

Ethical judgments require clinicians, researchers, research participants, and patients to weigh risks and benefits. Novel treatments for cognitive deficits are rapidly emerging, but little is known about how individual differences in risk and benefit sensitivity influence ethical judgments to administer treatments. The public plays important roles...

This paper establishes a connection between the fields of machine learning (ML) and philosophy concerning the phenomenon of behaving neutrally. It investigates a specific class of ML systems capable of delivering a neutral response to a given task, referred to as abstaining machine learning systems, that has not yet been studied from a philosophica...

Today’s digital landscape, marked by extensive use of information and communication technology, exposes young people to false information that shapes their perceptions of themselves and society. Yet, a comprehensive synthesis of research on false information among young people is lacking. This scoping review addressed this gap by exploring how youn...

Background Depression is a common complication after a stroke that may lead to increased disability and decreased quality of life. The objective of this study was to develop and validate an interpretable predictive model to assess the risk of depression in stroke patients using machine learning (ML) methods. Methods This study included 1143 stroke...

This paper challenges Sosa’s account of the epistemic propriety of suspension of judgment. We take the reader on a test drive through some common problem cases in epistemology and argue that Sosa makes accurate and apt suspension both too easy and too hard.

Indeed, the shipping industry brings the world closer through trade, but even this is survived under the relentless efforts of its unsung heroes: seafarers. Yet, life at sea comes with challenges. Prolonged time away from family and friends, demanding work cycles, social isolation—everything takes its toll on a seafarer’s physical and mental well-b...

This commentary examines the phenomenon of credentialism, i.e., the overemphasis on or misuse of credentials, and its role in the decline of epistemic humility, particularly within anti-vaccine movements. Drawing on recent research by Cosgrove and Murphy (2023) and relevant case studies, this commentary explores how credentialism, when interacting...

Background. Data extraction is a critical but error-prone and labor-intensive task in evidence synthesis. Unlike other artificial intelligence (AI) technologies, large language models (LLMs) do not require labeled training data for data extraction. Objective. To compare an AI-assisted to a traditional y data extraction process. Design. Study within...

Introduction The World Health Organization has identified a shortfall of nurses. There is a risk that newly graduated nurses will leave the profession only a few years after completing their education. Little is known regarding the newly graduated nurses’ experiences of practical readiness and development of professional authority during their firs...

Short video platforms are growing rapidly, and users often use them to get an overview before deciding. Short videos are a unique tool for tourist marketing because of the growing amount of content on tourism, which is believed to significantly impact information dissemination and travel decision-making (Li & Hayes, 2024). Therefore, the primary ob...

In the realm of industrial conveyor belt systems, the belt conveyor drum is a critical component whose fault-free operation is essential for seamless material transportation. Existing methods for detecting faults in these drums, including manual inspection and sensor-based techniques, have been hampered by limitations such as slow detection speed,...

The concept of alignment has undergone a remarkable rise in recent years to take center stage in the ethics of artificial intelligence. There are now numerous philosophical studies of the values that should be used in this ethical framework as well as a technical literature operationalizing these values in machine learning models. This article take...

The procurement of medical equipment is a critical concern for healthcare organizations striving to deliver comprehensive patient care. Thus, the procurement process, including performance evaluation and selection of medical equipment suppliers, poses a significant challenge for healthcare organizations. The decision-making process also involves mu...

Traditional methods for evaluating soccer midfielders often rely on subjective judgment, which fails to comprehensively reflect players’ multidimensional performance. This study constructs a systematic, data-driven evaluation model for midfield players using Principal Component Analysis (PCA) and Analytic Hierarchy Process (AHP), providing a scient...

The integration of the internal and external reference frames of the human brain is crucial for achieving accurate tactile spatial localization. However, the mechanisms underlying this integration have yet to be fully elucidated. This study adopted a modified temporal order judgment paradigm with an advanced weighted phase lag index method to inves...

A quarter-life crisis is a condition related to fulfilling early adult developmental tasks. Failing to fulfil these tasks can disrupt productivity and social relationships, cause emotional instability, and increase the risks of mental disorders. The Quarter-Life Management Program Based on Solution-Focused Therapy is designed to treat individuals a...

A pivotal aspect in the evaluation of mining projects is the classification of mineral resources, which directly influences the definition of mineral reserves and significantly impacts mine planning and operational stages. However, the current classification methodologies often need specificity regarding the methods and parameters employed and heav...

Background: Facial attractiveness significantly influences social interactions, decision-making, and personal judgments. The contrast effect, a cognitive bias where exposure to highly attractive stimuli alters the perception of subsequent stimuli, has been extensively studied in Western cultures but remains underexplored in collectivistic societies...

While there is a large political science literature on framing effects, almost none of it has focused on equivalency framing of actual problems and potential solutions. We investigate whether the public expresses more concern about societal problems when logically equivalent information concerning their prevalence is framed in negative rather than...

The rapid advancement of artificial intelligence has brought chatbots to the forefront of educational innovation, offering new possibilities for both teachers and students. This article explores the multifaceted roles of chatbots in education, distinguishing between rule-based and AI-powered models, and examining their applications in tutoring, ass...

Precisely evaluating semantic alignment between text prompts and generated videos remains a challenge in Text-to-Video (T2V) Generation. Existing text-to-video alignment metrics like CLIPScore only generate coarse-grained scores without fine-grained alignment details, failing to align with human preference. To address this limitation, we propose ET...

Evaluating Large Language Models (LLMs) free-form generated responses remains a challenge due to their diverse and open-ended nature. Traditional supervised signal-based automatic metrics fail to capture semantic equivalence or handle the variability of open-ended responses, while human evaluation, though reliable, is resource-intensive. Leveraging...

Studies on evaluation metrics and LLM-as-a-Judge models for automatic text summarization have largely been focused on English, limiting our understanding of their effectiveness in other languages. Through our new dataset BASSE (BAsque and Spanish Summarization Evaluation), we address this situation by collecting human judgments on 2,040 abstractive...

The acquisition of a second language frequently induces anxiety among students, particularly in speaking situations. This anxiety often stems from linguistic insecurity, fear of mispronunciation, and perceived judgment from both instructors and peers. Proficiency in public speaking is a critical goal in teacher training programs and is progressivel...

The Local Government system in Nigeria has witnessed many challenges among which are political interference, financial dependence, and limited autonomy. This has hindered effective service delivery and grassroots development in the country. Nonetheless, the quest and the judgment on the autonomy of Local Government administration in Nigeria through...

This is a publication in the North South University School of Humanities and Social Sciences Working Paper Series. It is an an updated version of an earlier preprint version. The paper discusses the dissentient judgment of Judge Radhabinod Pal at the Tokyo Tribunal after World War 2, which engages the moral and legal question of what constitutes "j...

Indonesia is committed to the principle of religious moderation, essential in light of the nation’s vast religious, cultural, and traditional diversity. To support this commitment, Indonesia’s Ministry of Religious Affairs has issued guidelines with four key indicators of religious moderation, one of which is cultural accommodation. This study exam...

Crime is a significant social, economic, and legal issue. This research presents an open-access spatiotemporal repository of street and neighborhood crime data, comprising approximately one million records of crimes in China, with specific geographic coordinates (latitude and longitude) and timestamps for each incident. The dataset is based on publ...

Background The Satisfaction with Life Scale (SWLS) measures the global cognitive judgment about one’s own life. Although it has been validated in different countries and populations, in the Ecuadorian context, it has not been validated for a university population. Objective The present study aimed to analyze the psychometric properties of the SWLS...

Large Language Models are prompting us to view more NLP tasks from a generative perspective. At the same time, they offer a new way of accessing information, mainly through the RAG framework. While there have been notable improvements for the autoregressive models, overcoming hallucination in the generated answers remains a continuous problem. A st...

This study investigates the impact of textual enhancement (TE) on the acquisition of explicit and implicit knowledge of the English passive voice among adult L2 learners. While TE, through techniques such as bolding and underlining, has been proposed to promote learners’ noticing of grammatical forms, its effects on L2 development remain inconclusi...

The integration of artificial intelligence (AI) into public health holds immense promise for improving population health outcomes. However, the successful implementation of AI depends not solely on technological advancements, but crucially on the effective integration of human expertise. This paper explores the "human factor" in AI-driven public he...

Evaluating machine translation (MT) of user-generated content (UGC) involves unique challenges such as checking whether the nuance of emotions from the source are preserved in the target text. Recent studies have proposed emotion-related datasets, frameworks and models to automatically evaluate MT quality of Chinese UGC, without relying on referenc...

Background and Aim: The proficiency of basketball referees' judgment not only directly impacts the technical and tactical aspects of the sport but also significantly influences the development of good sportsmanship within teams. Consequently, basketball referees play a crucial role in promoting the advancement of modern basketball, aiming for highe...

This article comprehensively examines distributed evaluation systems for large language models (LLMs) in enterprise environments. As organizations increasingly deploy LLMs in mission-critical applications, the need for robust, scalable evaluation frameworks has become paramount. The article explores the architectural foundations of these systems, i...

∴ Introduction ∴ ‌ Interpretation, as explored in both legal and religious scholarship, is an intricate process of uncovering and clarifying intended meanings embedded within language. Broadly, interpretation seeks to bridge the gap between the literal expression and the intent of the speaker or legislator. In Islamic jurisprudence, particularly wi...

Background: Systematic screening for tuberculosis using Xpert Ultra generates trace results of uncertain significance. Additional microbiological testing in this context is often negative, but individuals with trace results might have early disease or elevated risk of tuberculosis. Methods: We screened for tuberculosis with Xpert Ultra in Uganda, e...

Rapid short-term forecasting of grid loads can realize more stable and economical load deployment control in grid planning and operation, and improve the efficiency of the dispatching system. In this paper, we first collect load data for distribution bandwidth operation, propose a suitable method for preprocessing, and summarize the load fluctuatio...

As artificial intelligence (AI) continues to transform industries, the future of work and leadership is evolving towards a model of human-AI collaboration. This paper explores how AI is reshaping job roles, decision-making, and leadership dynamics, emphasizing the need for adaptive skills, ethical considerations, and new management approaches. Rath...

The education system has experienced a significant transformation due to technological advancement. Technology has made teaching much more interesting and informative through projectors, online tutorials, teaching videos, and animations. In classrooms, technology is now widely used in order to enhance learning experiences for students. The evaluati...

This paper discusses the BERT model, two-channel convolutional neural network and bi-directional LSTM model architecture in natural language processing. And on this basis, the BERT analytic representation model was used to extract and analyze the theme of chapter contents and related characters in literary works. Sentiment analysis was conducted wi...

One of the most widely used tasks to evaluate Large Language Models (LLMs) is Multiple-Choice Question Answering (MCQA). While open-ended question answering tasks are more challenging to evaluate, MCQA tasks are, in principle, easier to assess, as the model's answer is thought to be simple to extract and is directly compared to a set of predefined...

Blockchain technology, as a distributed system for establishing trust, especially the consensus-based federation chain architecture, fully meets the requirements of identity authentication under the conditions of multi-party collaboration in cyberspace. Therefore, in order to solve the limitations of centralized identity authentication technology,...

The occurrence of structural damage will affect the bridge structural dynamic characteristics, and the scientific identification of structural damage in bridge engineering not only helps to repair and extend the use of time limit, but also relates to public safety. In this paper, based on the frequency change and flexibility curvature modal change,...

This chapter examines how automating business processes and changing management practices can be achieved through the use of artificial intelligence (AI). It draws attention to the increasing use of AI across a range of industries and emphasizes how it can improve productivity judgment and overall business performance. The chapter looks at the majo...

As a sport widely played around the world, the fairness and enjoyment of table tennis competitions have received increasing attention. Traditional table tennis referees rely on manual judgment, which has problems such as strong subjectivity and high misjudgment rate. Therefore, this study combines the background subtraction method and the Kalman fi...

Purpose Phonetic training has been found to be an effective way on second language (L2) learning, but the evidence is not conclusive regarding the effectiveness of different instructional approaches and possible interactions between language learners, training features, and outcome measures. This study aims to meta-analyze existing studies to provi...

The book Arhitektura v svetu ('Architecture in the World') examines the possibility of developing architecture as one of the practices that are able to operate in the world in such a way as to open it up, to reveal it in its constitutive openness; that is, in that dimension that every regime tries to conceal, including the current regime of contemp...

International marriages are increasing due to globalization in personal and professional relationships. And international divorces are now a growing issue concerning complicated legal, cultural, and jurisdictional challenges. Different legal systems have different divorce laws, causing complications in recognition and enforcement of divorce decrees...

Chain-of-Thought (CoT) reasoning has been demonstrated as an effective technique for improving the problem-solving capabilities of large language models (LLMs) in the context of code generation. However, existing CoT methods often exhibit a tendency toward "overthinking", where the LLM consistently applies reasoning strategies without adequately co...

Moral disengagement is a cognitive mechanism that seeks to avoid the feeling of guilt in the face of transgressive behaviors and seems to be present in behaviors such as cyberbullying, cybergossip or bullying in adolescence. Few studies have explored this connection in the primary school years, even though gossip, bullying and cyberbullying are als...

The concept of al-Tasāmuh holds great significance in Islam, predating its discussion in the West and emphasizing coexistence within a framework of mutual respect and rights protection. This study examines al-Tasāmuh in the Quran and Sunnah, comparing it to the 1995 definition of Tolerance in foreign languages to clarify misconceptions that lead to...

Emotion cognition and computation involves many aspects of technology such as sensory stimulation, memory association, value judgment, etc., and plays a crucial role in digital media interaction. This paper proposes an emotion analysis model based on a deep temporal modeling network, which consists of a global attention local loop module, a text sy...

Extant research has shown that ordinary causal judgments are sensitive to normative factors. For instance, agents who violate a norm are standardly deemed more causal than norm-conforming agents in identical situations. In this paper, we present novel findings that go against predictions made by several competing accounts that aim to explain this s...

Human advisors typically explain their reasoning, which is absent when advice is given by an algorithm in the form of a mere number. We hypothesized that decision maker perceptions (e.g., trust), use of algorithmic advice, and hence judgment consistency and accuracy would improve if an algorithm ‘explains itself’. We recruited 1,202 English-speakin...

Both the way a person dresses and their emotion expressions influence interpersonal perception, yet the combined impact of attire and emotional expressions remains understudied. We investigated how attire, as a signal of status, interacts with emotional expressions to create first impressions. For this, using digital manipulation, faces from a vali...

Stress has become one of the major health issues worldwide, and the mandatory integration of technologies into the educational environment has exacerbated this problem. This situation affects both teachers and students, who often lack the necessary knowledge to use these tools effectively, putting their mental health and emotional well-being at ris...

Accurate forecasting is critical for effective business decision-making, especially in the hospitality industry where demand for services such as hotel room bookings can be highly unpredictable. This article explores the integration of intelligent systems into business forecasting, focusing specifically on the case of unconstrained hotel room deman...

The perception of one's own body is subject to systematic distortions and can be influenced by exposure to visual stimuli showing distorted bodies. In Virtual Reality (VR), echoing such body judgment inaccuracies, avatars with strong appearance dissimilarities with respect to users' bodies can be successfully embodied. The present experimental work...

With the rapid development of intelligent transportation systems presents significant opportunities for vehicular ad hoc networks (VANETs) present themselves; yet, these networks also encounter numerous security challenges. In order to maintain road safety and traffic efficiency, information is usually shared through communication between vehicle n...

In the hospitality industry, decision-making and business forecasting are pivotal for operational efficiency and profitability. Traditional methods, relying heavily on historical data and expert judgment, often lack the agility required to handle the dynamic nature of the market. This paper explores the integration of Artificial Intelligence (AI) i...

Identification of rhetorical roles like facts, arguments, and final judgments is central to understanding a legal case document and can lend power to other downstream tasks like legal case summarization and judgment prediction. However, there are several challenges to this task. Legal documents are often unstructured and contain a specialized vocab...

The problems in the current medical equipment measurement work have made many medical institutions begin to consider establishing a convenient, long-term stable and low-cost measurement service model by establishing internal measurement standards, but they have not made further in-depth exploration and the construction of a perfect measurement stan...

In this study, we have developed and implemented a new technology capable of probabilistically selecting phase arrival times and determining the initial polarity of seismic waveforms without the requirement of prior information. In this new method, the arrival time is determined through an eigen-equation associated with the probability distribution...

With the rapid expansion of non-customized data assets, developing reliable and objective methods for their valuation has become essential. However, current evaluation techniques often face challenges such as incomplete indicator systems and an over-reliance on subjective judgment. To address these issues, this study presents a structured framework...

The purpose of this paper is to examine whether large language models (LLMs) can understand what is good and evil with respect to judging good/evil reputation of celebrities. Specifically, we first apply a large language model (namely, ChatGPT) to the task of collecting sentences that mention the target celebrity from articles about celebrities on...

Evaluative conditioning (EC), the change in the liking of a conditioned stimulus due to its pairing with a positive or negative stimulus, is a key effect in attitude formation. Current theories on EC emphasize the role of memory in EC, assuming that explicit memory on the stimulus pairings strengthens the EC effect. In this paper, we extend the sco...

In July 2023 in the case of Stay at South Point Properties (Pty) Ltd v Mqulwana the Supreme Court of Appeal (the SCA) found that student accommodation does not constitute a "home" in terms of section 26(3) of the Constitution of the Republic of South Africa, 1996 (hereafter the Constitution). Section 26(3) of the Constitution provides that "[n]o on...

Current vision-language models (VLMs) have demonstrated remarkable capabilities in understanding multimodal data, but their potential remains underexplored for deepfake detection due to the misaligned of their knowledge and forensics patterns. To this end, we present a novel paradigm that unlocks VLMs' potential capabilities through three component...

Evidence serves as the basis for determining facts in the judicial trial process, and exploring the correlation between evidence has become an essential task. However, there is uncertainty and unreliability of evidence. In this paper, we propose an ApriDS model that can mine correlations between evidence and construct evidence linkage networks. Spe...

Verification is crucial for effective mathematical reasoning. We present a new temporal consistency method where verifiers iteratively refine their judgments based on the previous assessment. Unlike one-round verification or multi-model debate approaches, our method leverages consistency in a sequence of self-reflection actions to improve verificat...

In this paper, the improved Flanders Interaction Analysis System (OFIAS) is used as an information technology-facilitated interaction analysis system for teaching English in English classrooms on a diverse online platform, and the iFIAS-held coding system is used to record classroom teaching and learning interaction behaviors. Leary’s interaction t...

Large Language Models (LLMs) are acquiring a wider range of capabilities, including understanding and responding in multiple languages. While they undergo safety training to prevent them from answering illegal questions, imbalances in training data and human evaluation resources can make these models more susceptible to attacks in low-resource lang...

We argue that negative references to amicus curiae briefs in high court judgments – instances where a court explicitly signals disagreement with the legal arguments in such briefs – are a significant and understudied feature of judicial reasoning. We theorize that such references may provide courts with a tool for increasing the precision of its ca...

Recent advances in large language models (LLMs) have introduced the novel paradigm of using LLMs as judges, where an LLM evaluates and scores the outputs of another LLM, which often correlates highly with human preferences. However, the use of LLM-as-a-judge has been primarily studied in English. In this paper, we evaluate this framework in Russian...

This study was established to determine the extent to which electronic payment system has improved customers’ patronage of shopping malls in South-South zone of Nigeria. A descriptive survey research method of co-relational research design was employed in this study. The population of the study consisting of 77 registered shopping malls in the Sout...

The rapid adoption of artificial intelligence (AI) chatbots in academic peer review (PR) has sparked both excitement and concern, raising critical questions about the future of scientific integrity. This paper examined how AI tools, particularly Chat Generative Pre-Trained Transformer, are reshaping scientific PR. As these tools become more prevale...

Data crawling refers to the automated process of acquiring and storing web information, with data crawlers being one of its most widely used forms. The webpage acquisitionwebpage filteringwebpage storage method of crawling, along with data transactions, often involves breaches of contract, infringements, unfair competition disputes, and other compl...

Renewable energy sources are essential for meeting global energy needs while reducing environmental impacts. This study introduces an integrated neutrosophic DEMATEL‐ANP‐VIKOR approach to evaluate and prioritize renewable energy sources based on various criteria, providing a comprehensive and systematic decision‐making framework. The approach lever...

When intercepting a moving target, responses are systematically biased toward the time of impact from the previous trial. This phenomenon, known as serial dependence, relies on a memory mechanism that remains poorly understood. In interceptive tasks, multiple stimulus features - such as speed, time, or motor responses - can guide behavior on the cu...