bluuebunny/crossref_metadata_2025 huggingface dataset:
Encenação, Corpo e Dança: expressões de resistência e intensidade em Ema (2019), de Pablo Larraín
Authors: Bastos Thalita Cruz
Published: February 2025

O cinema contemporâneo latino-americano tem se destacado por trazer à tona questões políticas, sociais e culturais complexas, frequentemente centradas no corpo como veículo de expressão e resistência. Nesse contexto, Ema (2019), dirigido por Pablo Larraín, emerge como um exemplo emblemático da convergência entre corpo, dança e resistência política. O filme utiliza a trajetória de sua protagonista como um veículo para explorar resistências políticas e afetos que se manifestam por meio da dança e da ocupação do espaço urbano em Valparaíso. Essa narrativa permite explorar as potências de desejo e resistência que emanam do corpo feminino em meio a um contexto de neoliberalismo e marginalização.
Entrevista com David Lynch
Authors: Ferraraz Rogério
Published: February 2025

Hollywood, 5 de setembro de 2002
Subia a colina de Hollywood Hills à procura do local onde, finalmente, no meu penúltimo dia em Los Angeles, entrevistaria David Lynch. Grata surpresa tive quando, ao chegar à rua correta, reparar que, nela, encontravam-se uma casa desenhada ao estilo de Frank Lloyd Wright (Figura 1) e, mais acima, a casa utilizada por Lynch no filme A estrada perdida (Lost Highway, 1997). Tal casa, de arquitetura diferenciada e angulosa (Figura 2), servira de residência para os personagens Fred e Renee Madison (Bill Pullman e Patricia Arquette, respectivamente) e lá desenrolavam-se cenas-chave daquele longa-metragem. Fiz várias fotos da frente dos dois imóveis, antes de me dirigir à casa do meio, local combinado para a entrevista.
The Role of the Gut in Chronic Kidney Disease: The Effect of Microbiota
Authors: Hatice Beyazal Polat
Published: February 2025

Chronic Kidney Disease (CKD) is a globally prevalent public health issue that significantly affects quality of life and increases morbidity and mortality rates. Recent studies have highlighted the important role of the gut in CKD progression, demonstrating a bidirectional relationship between gut microbiota and kidney health. In patients with CKD, the accumulation of uremic toxins leads to dysbiosis of the gut microbiota, disruption of the intestinal barrier, and systemic inflammation. These factors contribute to disease progression by exacerbating kidney damage. As CKD progresses, the dysregulation of the gut microbiota becomes more pronounced, creating a vicious cycle that accelerates the disease’s progression.
Traditional medical approaches, including medications and dialysis, play a fundamental role in slowing CKD progression and managing symptoms. However, microbiota-based approaches may be beneficial in improving patient outcomes. Regulating gut microbiota has become an important strategy in CKD management alongside traditional treatments. Potential interventions include probiotics, prebiotics, dietary modifications, and even fecal transplantation. These strategies show promising results in reducing the impact of CKD by restoring a balanced gut microbiota and reducing systemic inflammation and uremic toxins.
This review examines the complex relationship between gut microbiota and CKD and emphasizes the potential of microbiota-based therapies as an adjunct to traditional CKD treatments. By focusing on gut health, new therapeutic approaches may offer significant benefits in slowing CKD progression and improving patient quality of life.
Artificial Bee Colony-Based Optimization for Public Electric Vehicle Charging Station Placement
Authors: Samsurizal Samsurizal , Cahyo Agung Dwi , Afandi Arif Nur , Ardina Andi Ahyina , Sari Resi Kumala
Published: February 2025

Background: The urgency of developing Electric Vehicle Charging Stations (EVCS) infrastructure is increasing alongside the need for low-emission mobility and energy efficiency. Objective: This study aims to optimize the determination of EVCS locations using the Artificial Bee Colony (ABC) method. Methods: This method was selected for its capability to find optimal solutions through an iterative population-based approach. Simulations were conducted by limiting the maximum iterations to 1000 to evaluate the impact of iteration numbers on optimization quality. Results: The results show that the ABC method successfully identified the shortest distance from three initial locations to the optimal EVCS locations. In the second simulation, the shortest distance obtained was 0.6420 km, indicating that an increase in the number of iterations correlates directly with the quality of optimization results. Specifically, the optimal distance from the first initial location to the EVCS at Danareksa Tower was 1.7018 km using the ultra-fast charging type. From the second initial location to the EVCS at the Ministry of State-Owned Enterprises Building, the optimal distance was 0.6420 km using the fast-charging type. Meanwhile, from the third initial location to the EVCS at PLN UID Greater Jakarta, the optimal distance was 1.1787 km using the ultra-fast charging type. Conclusion: This study demonstrates that the ABC method can deliver accurate results in determining optimal EVCS locations with efficient distances. These findings are expected to support the development of more effective and integrated electric vehicle infrastructure.
First laparoscopic anatomical liver resection of segment 3 with Glissonean approach and negative fluorescent counterstaining in Georgia: A case report
Authors: Anzor Kvashilava  , Badri Kobalava  , Giorgi Giorgobiani
Published: February 2025

Background: Laparoscopic liver resection (LLR) is a safely performed approach in referral centers. However, in many developing countries it is still not considered a routine procedure because of resourcefulness and lack of experience.

Newer techniques, like the Glissonean approach and use of Indocyanine Green (ICG), can be acquired thanks to training of liver surgeons in foreign referral tertiary centers. The purpose of the publication is to report the initial Georgian experience of LLR with Glissonean approach and intraoperative ICG.

Case presentation: A 37-year-old caucasian man with an 8-year history of chronic viral hepatitis B and subsequent liver cirrhosis, was operated on for a 6-cm HCC in segment 3. Laparoscopic segmentectomy was performed, by using extrafascial Glissonean approach for inflow control, and ICG for negative counterstaining. Operation duration was 150 min, estimated blood loss was about 60 ml. The patient was discharged from the hospital on a postoperative day 3 without notable complication.

Conclusion: A minimally invasive program comprehensive of anatomical LLR with Glissonean approach and intraoperative ICG can be carefully safely performed in Georgia, after appropriate training in referral centers.
High-speed machining (HSM): Challenges, advancements and industrial applications
Authors: Chandrashekharaiah S. B
Published: February 2025

High-Speed Machining (HSM) has emerged as a transformative technology in modern manufacturing, offering significant improvements in productivity, precision, and cost efficiency. By operating at elevated cutting speeds and feed rates, HSM enables higher material removal rates, superior surface finish, and reduced machining time. This advancement has been particularly beneficial in industries such as aerospace, automotive, and die/mold manufacturing, where precision and efficiency are critical. Despite its advantages, the adoption of HSM presents several challenges, including accelerated tool wear, excessive heat generation, vibration-related stability concerns, and the need for optimized machine dynamics. Effective management of these factors is essential to fully leverage the benefits of HSM while ensuring process reliability and component quality. Recent advancements in cutting tool materials, coatings, adaptive control strategies, and machine tool design have contributed to addressing these challenges, further enhancing the feasibility and efficiency of HSM. This paper provides a comprehensive review of the fundamental principles of HSM, key technological challenges, and recent developments in the field. It also examines various industrial applications, highlighting how HSM is being integrated into modern production systems. Furthermore, performance comparisons, tool life assessments, and machining efficiency evaluations across different materials and machining strategies are presented using figures, tables, and bar charts. The findings aim to offer valuable insights into the current state and future potential of HSM in advanced manufacturing.
Advancements and impact of 4G communication: A technological revolution
Authors: Suma H R  , Vijayaprakash R M  , Sunil Kumar G
Published: February 2025

The fourth-generation (4G) communication technology revolutionized the telecommunications industry by significantly enhancing data transfer speeds, network reliability, and overall user experience. As a successor to 3G, 4G introduced advancements such as Long-Term Evolution (LTE) and LTE-Advanced, enabling higher bandwidth, lower latency, and improved spectral efficiency. These enhancements facilitated seamless mobile broadband services, high-definition video streaming, real-time gaming, and IoT connectivity, transforming both consumer and enterprise applications. This paper explores the technological advancements, key features, and impact of 4G on various sectors, including healthcare, education, finance, and transportation. The study examines statistical data, figures, and bar charts to illustrate the improvements in network performance, global adoption trends, and economic implications of 4G technology. Furthermore, it discusses the role of 4G in bridging the digital divide and preparing the foundation for the transition to 5G.
Damage detection and structural health monitoring of MMC components
Authors: Manju R B  , Lakshmana H K
Published: February 2025

Metal Matrix Composites (MMCs) are widely utilized in aerospace, automotive, and structural applications due to their superior mechanical properties, including high strength-to-weight ratio, excellent wear resistance, and enhanced thermal stability. However, the structural integrity of MMC components is crucial for ensuring their reliability and longevity, necessitating the development of effective damage detection and health monitoring techniques. This paper provides a comprehensive review of various methodologies used for damage assessment in MMCs, including traditional and advanced non-destructive evaluation (NDE) techniques such as ultrasonic testing, radiographic inspection, eddy current testing, and thermographic analysis. Additionally, acoustic emission (AE) analysis is examined as a real-time monitoring approach that captures transient stress waves generated by material degradation. With the advent of Industry 4.0, machine learning-based monitoring systems have gained significant attention for their ability to process large datasets and identify damage patterns with high accuracy. This study explores the integration of artificial intelligence (AI) and deep learning models in predictive maintenance frameworks, improving early fault detection and minimizing unexpected failures. A comparative analysis of these techniques is presented through figures, tables, and bar charts, illustrating their effectiveness in detecting defects such as cracks, delamination, voids, and fiber breakage. By evaluating the advantages and limitations of different monitoring strategies, this study aims to provide valuable insights into the optimization of damage detection systems for MMC structures. The findings contribute to the development of more efficient and reliable health monitoring solutions, ultimately enhancing the operational safety and performance of MMC-based components in critical applications.
Comparative study on home automation using IoT
Authors: Bhagyalaxmi B S  , T. Saritha  , Smithu B S
Published: February 2025

The term "home automation system" refers to a procedure that automates or adjusts routine home tasks, such as the user-commanded regulation of lighting and HVAC systems. A portable and versatile hand held device is perfect for use as a UI into home automation system. More and more people need home automation systems with Internet of Things capabilities as internet consumption and associated costs continue to rise. Smart home applications, in which gadgets are smartly connected altogether to give comfort in daily life and enhance people's wellbeing & lifequality, have benefited greatly from IoT mobile systems.
Nano formulations for peptide drug delivery: Overcoming bioavailability and stability challenges
Authors: Ankur Patel  , Rohankumar Patel
Published: February 2025

Peptide-based pharmaceuticals serve as essential therapeutic agents for addressing different conditions such as cancer together with diabetes and infectious diseases. Clinical therapeutic use of peptides is restricted by meager bioavailability, quick enzymatic breakdown, and weak stability. Direct injection and chemical modification methods have revealed a restricted capacity for overcoming these delivery barriers. Nanoformulations establish themselves as promising approaches to address limitations related to peptide drug delivery. Nanocarrier systems composed of liposomes, polymeric nanoparticles, and solid lipid nanoparticles provide better stability functions with delayed release kinetics and enhanced absorption through biological barriers. Drugs formulated into such treatments protect peptides from enzyme breakdown while extending their presence in the bloodstream, resulting in superior therapeutic outcomes. The review investigates modern developments in nano-based peptide transport by analyzing progressive formulation techniques, presenting research conclusions, and predicting clinical usage. The review also addresses obstacles when translating nanocarriers to clinical usage while outlining future development strategies to optimize peptide therapeutic nano-formulations.
Deep learning in healthcare: Transforming disease diagnosis, personalized treatment, and clinical decision-making through AI-driven innovations
Authors: Rishi Reddy Kothinti
Published: February 2025

Deep learning technologies transform healthcare operations by improving medical diagnosis methods, individual treatment strategies, and patient care decision systems. This paper studies deep learning architectures with CNNs and RNNs and transformer-based models that boost medical image evaluation, predictive analytics, and drug development capabilities. Medical image interpretation with automated precision, early disease detection capabilities, and large biomedical dataset assessment can lead to drug development assistance.
Healthcare applications face continuous challenges when implementing deep learning solutions for their operations. User privacy risks and data safety have become vital because physics, which provides access to sensitive patient information, has developed strong artificial intelligence programs. Emulating the intricacies of black-box neural networks represents a major problem since it hinders clinicians from comprehending AI algorithmic decisions. Regulatory systems need to make strategic changes to resolve emerging clinical AI problems while sustaining ethical operational AI in medical facilities.
The research field must develop better transparent models while building federated learning platforms to protect sensitive medical data and combine various AI systems for total patient examination. To achieve effective deep learning applications for clinical practice, it is necessary to bring together AI researchers with healthcare professionals and policymakers to refine these applications. The solution to these obstacles will enable deep learning to advance innovation while generating better healthcare results and patient care.
New sorbents based on carbonized bentonite - Askan Clay
Authors: Eter Salukvadze Omar Lomtadze  , Tsiala Gabelia  , Leila Japaridze  , Nunu Shalvashvili
Published: February 2025

The paper presents the results of obtaining medical sorbents, studying their physical and chemical characteristics and conducting clinical trials. Carbonized modifications of “Askan clay” (montmorillonite clay from the village of Askana) were obtained by heat treatment of a mixture of “Askan clay” and carbohydrates (glucose, molasses). Carbonization is accompanied by a sharp increase in the overall porosity of “Askan clay”. Samples of carbonized “Askan clay” are characterized by high exchange and sorption capacity. Sorption of cations and anions for carbonized samples occurs in the following sequence: Ba2+ > K+ > Mn2+ > Ca2+ > Mg2+; PO43– > SO42– > Cl–. The possibility of using the carbonized form of "Askan clay" as a sorbent used in medicine has been investigated.
Impact of Malaria Parasiteamia and Haematologic parameters in Ilorin metropolis, North central Nigeria
Authors: Jimoh Abdulraheem Olayemi  , Oluwasogo Olalubi  , Sunday Awe
Published: February 2025

Background: Malaria is main cause of cause of Anaemia and thrombocytopenia and those with platelet counts less than 150,000/µL have a 12–15 times higher risk of contracting malaria than those with counts greater than 150,000/µL.

Methodology: A prospective crossectional study was employed in this study. 331 patients at the University of Ilorin Teaching Hospital, Kwara State University Teaching Hospital, Sobi Specialist Hospital, Okelele Comprehensive Health Centre and Civil service Clinics in Ilorin Metropolis with age range 1-60 years who presented with malaria were recruited. While those on antimalaria drugs, those with cases of complicated malaria, pregnant women and those that refused consent were excluded from the study. Ethical clearances were obtained from both the state Ministry of Health (MOH/KS/EU/777/493) and The University of Ilorin Teaching Hospital Ilorin, (UITH PAN/2022/12/0223). The study followed ethical code of conduct 2019 (Helsinki). Blood samples were collected from all the participants, both thick and thin blood films were made, stained with diluted Giemsa 1:10 and these were then confirmed by Polymerase Chain Reaction (PCR). Blood counts were carried out using the Haematology Analyzer BC-5200 following manufacturer instructions,

Results: Out of 331 patients screened, 103 (31.6%) were positive for parasitaemia and parasites density of >120000 was detected in 8 participants, P. falciparum was the only species detected. The mean values of Hb, Hct, platelet, WBC, lymphocytes and RBC were significantly low in malaria patients compared to non-infected controls and the difference is statistically significant.
Variação linguística, ensino de língua portuguesa e formação docente
Authors: Nonato Sandoval
Published: February 2025

Este ensaio apresenta alguns elementos de qualificação do estatuto da variação linguística como objeto de ensino em dois modelos pedagógicos (modelo clássico e modelo interacionista) gerados no percurso histórico de formação do ensino de língua portuguesa, na escola brasileira. Para tanto, recorre à descrição e análise de uma dupla base documental: no caso do modelo clássico, um manual pedagógico voltado à formação da professora de Português, intitulado Didática Especial de Português, de autoria de Leodegário Amarante de Azevedo Filho, publicado em 1958, no Brasil. No caso do modelo interacionista, um relatório de estágio em quese descrevem práticas de ensino de língua portuguesa, escrito por estudante de curso de licenciatura em Letras após realização de estágio em escola da rede pública de ensino da cidade de São Paulo (Brasil). Essa operação teórica e metodológica subsidia a discussão de alguns desafios que a abordagem da variação linguística coloca para as práticas de ensino e para a formação docente.
A produção valorada e a consciência socioideológica de estudantes do 8º ano a partir do gênero discursivo paródia
Authors: Da Natividade Romário Rui Natividade , Ohuschi Márcia Cristina Greco
Published: February 2025

Este trabalho objetiva refletir sobre a constituição da consciência socioideológica e da produção valorada do discurso, além de verificar o nível de conhecimento sobre o gênero discursivo paródia na produção textual de alunos do 8º ano do Ensino Fundamental. À luz da Linguística Aplicada, a pesquisa pauta-se na concepção dialógica de língua e linguagem, proposta pelo Círculo de Bakhtin, sobretudo nos conceitos que envolvem as axiologias sociais. A investigação se alinha ao viés qualitativo- interpretativo, de cunho etnográfico e de natureza aplicada e apresenta uma amostra composta por quatro produções textuais de alunos do 8º ano de uma escola pública rural do município de Curuçá-PA. O corpus de análise foi gerado a partir de uma atividade diagnóstica, que solicitou a produção escrita inicial de paródias a partir do tema “Xenofobia: um mal que precisamos combater”. A análise considerou como princípios orientadores: a) conhecimento acerca do gênero; b) características do gênero; c) produção valorada; d) vozes sociais. Os resultados da diagnose demonstram que dois alunos têm conhecimento do gênero e de suas características; dois apresentam dificuldades quanto a esses dois primeiros princípios; todos os estudantes sinalizaram indícios de produção valorada e presença de vozes sociais nos enunciados, evidenciando marcas de consciência socioideológica.
Modelo didático do abaixo-assinado
Authors: Cavalcanti dos Santos Thaís , Maria Manzoni Rosa
Published: February 2025

O artigo descreve resultados de pesquisa (XXX, 2020), desenvolvida com estudantes concluintes do ensino médio, que investiga o potencial do gênero abaixo-assinado para o desenvolvimento de capacidades de linguagem e exercício de práticas cidadãs. A pesquisa fundamenta-se na Psicologia Histórico-Cultural (Vigotski, 1991, 2009), na noção de gênero textual como instrumento de aprendizagem e desenvolvimento (Schneuwly, 1994) e promotor de capacidades de linguagem (Dolz, Pasquier, Bronckart, 1993) relacionadas às categorias de análise textual (Bronckart, 2009). A produção dos dados da pesquisa foi orientada pela Engenharia didática, mediante a modelização didática dos gêneros (De Pietro e Schneuwly, 2003; Schneuwly e Dolz, 2004), e a organização de uma Sequência didática (Dolz, Noverraz e Schneuwly, 2004). O artigo descreve o modelo didático do abaixo-assinado, com a apresentação das regularidades do gênero e as adaptações para o ensino. Os resultados revelaram que o gênero instrumentaliza o agir cidadão à medida que permite avanços nas capacidades de ação e discursivas dos estudantes. Além disso, possibilita que situações extraídas da realidade empírica se articulem a elaborações intelectuais mais complexas exigidas por práticas sociais reivindicatórias.
Apresentação
Authors: Vieira Gonçalves Adair , Barros Eliana Merlin Deganutti de , Jovelina Storto Letícia , Dolz Joaquim
Published: February 2025

Apresentação do Dossiê PESQUISAS INTERVENTIVAS COM FOCO NO ENSINO DE LÍNGUAS, idealizado por pesquisadores do grupo de pesquisa Diálogos Linguísticos e Ensino: saberes e práticas – DIALE (Universidade Estadual do Norte do Paraná – UENP, CNPq)1, liderado pelas professoras Eliana Merlin Deganutti de Barros e Letícia Jovelina Storto. O grupo, criado em 2015, desenvolve pesquisas em duas grandes áreas, uma que se dedica aos estudos analíticos do texto e do discurso, outra que foca tanto o ensino e aprendizagem da língua portuguesa, como língua primeira, como a formação do professor. Ambas as áreas têm como escopo uma visão enunciativa da linguagem e sociointeracional do processo de ensino e aprendizagem.
Este dossiê temático reúne estudos que exploram abordagens interventivas no ensino da língua portuguesa, com foco em contextos variados de aprendizagem e ensino. A intenção é trazer uma diversidade de perspectivas didáticas e teóricas quepossam ajudar a compreender melhor o processo de ensino da língua, sobretudo a língua portuguesa, seja como língua primeira ou como língua de herança, como é o caso do capítulo escrito por Luciana Graça. O dossiê aborda diferentes metodologias de ensino, sob diferentes lentes teóricas, que buscam não apenas a melhoria do ensino, mas também a promoção de uma reflexão mais ampla sobre o papel da língua na formação cidadã e na construção do conhecimento.
ON THE QUESTION OF DETERMINING THE ACTIVITY OF FAULT ZONES OF THE PRECAMBRIAN CRYSTALLINE FOUNDATION AT THE ZAPORIZHZHIA NPP SITE BASED ON RADON MEASUREMENTS
Authors: Sedin V.L. , Ulyanov V.Yu. , Kovba V.V. , Zahilskyi V.A. , Bikus K.M. , Bilyk V.V.
Published: February 2025

Problem statement. The completed studies were due to the post-Fukushima reassessment of the site's seismic hazard and seismic resistance at the Zaporizhzhia NPP (Nuclear Power Plant), considering changes in geotechnical conditions during the plant operation. And also, to increase its operational reliability and safety. The basis was the international requirements for nuclear safety and the IAEA Safety Standards Series no. SSG-9, the requirements of domestic and foreign standards for the design of earthquake-resistant atomic power plants. The highly specialized research was conducted firstly in the country and tested at the site of the Zaporizhzhia NPP, with further improvement of the methodology it is quite possible for the stated purposes at the sites of other nuclear power plants, especially those located in seismically active zones. Purpose of the article. The purpose of the article is to test the methodology for determining the degree of tectonic activity of previously assumed, and subsequently confirmed by drilling and geophysics, fault zones at the Zaporizhzhia NPP site based on monitoring of radon in groundwater. Also, in the future, justify the use of radonometry for accurate mapping of fault zones in igneous rocks of the Ukrainian Crystalline Massif. Conclusions and results. The authors analysed archival data on the geology and hydrogeology of the NPP site and data on the radon content in the groundwater of crystalline basement rocks. We described existing methods for collecting water samples for radon and testing them in laboratory conditions. The data obtained as a result of the monitoring of radon in groundwater indicate the absence of neo-tectonic activity of a natural character on the site of the geodynamic polygon. This site is immediately adjacent to the Zaporizhzhia NPP site, and primarily in the zone of the sublatitudinal fault uncovered by one of the wells and crossing the NPP site in the area of the fourth block. The result of comparative studies of radon volumetric activity (VAR) indicators in the aquifer's fissure-vein waters of the crystalline Precambrian basement during 2012−2015 was confirmation of the fundamental possibility of assessing the tectonic activity of fault zones of the geodynamic polygon at the Zaporizhzhia NPP when carrying out radon monitoring.
RESEARCH OF THE INFLUENCE OF PROTECTIVE BARRIERS ON REDUCING THE RISK OF ILLNESSES IN WORKERS
Authors: Biliaiev M.M. , Berlov O.V. , Kozachyna V.A. , Mashykhina P.B. , Tymoshenko O.A.
Published: February 2025

Problem statement. Emissions from motor vehicles create significant areas of chemical air pollution near highways. Shopping malls are often located near highways. This arrangement of people during the working day near the highway creates a risk of workers becoming ill. Therefore, it is important to reduce the intensity of air pollution. The simplest and most effective way to protect against atmospheric air pollution near highways is to use barriers. To substantiate the parameters of the protective barrier, you need to have specialized mathematical models. The purpose of the article. Development of numerical models to calculate the level of contamination of work areas near highways in order to determine the effectiveness of using protective barriers to reduce the risk of diseases in workers. Methodology. For mathematical modeling of impurity propagation in the presence of protective barriers, two-dimensional equations of aerodynamics and mass transfer are used. The developed numerical model allows taking into account the air flow velocity profile, atmospheric diffusion, impurity emission intensity, and the rate of gravitational deposition of the impurity in the air. Finite-difference splitting schemes are used for numerical integration of the modeling equations of aerodynamics and mass transfer. Scientific novelty. An effective numerical model is proposed that allows determining the field of concentration of a hazardous substance near a highway. The model allows analyzing air pollution zones taking into account the influence of a protective barrier located near the highway. Based on the data on the distribution of the concentration of a hazardous substance, the risk of developing diseases in a person located in the zone of influence of vehicle emissions is determined. Practical significance. The constructed model can be used to quickly predict the level of danger for workers whose work area is located near the road. Conclusions. A software implementation of the developed numerical model was carried out, and a computational experiment was conducted, which illustrated the effectiveness of using the developed numerical model for solving applied problems.
ORGANIZATIONAL ASPECTS OF THE USE OF ARTIFICIAL INTELLIGENCE IN CONSTRUCTION
Authors: Borodin M.O. , Tkach T.V. , Martysh O.O.
Published: February 2025

The relevance of the study is due to the growing demand of the construction industry for technological innovations that can significantly increase its efficiency and competitiveness. Modern construction projects are becoming more and more complex, therefore, traditional management methods cannot always ensure the necessary speed and accuracy of construction and assembly works. In such conditions, the introduction of artificial intelligence (AI) contributes to the automation of a significant part of the processes, more efficient use of resources, reduction of project deadlines and reduction of errors. Raising of problem. Organizational aspects of artificial intelligence (AI) application in the construction industry are considered. The purpose of the study is to determine the place of artificial intelligence in the system of organization and management of construction projects, as well as to develop key organizational approaches and strategies for its effective implementation in order to increase productivity and optimize processes in the construction industry. Object of the study: organizational and management processes in the construction sector related to the integration of artificial intelligence technologies. Subject of the study: organizational aspects, strategies and mechanisms for the implementation of artificial intelligence in construction, including technical, personnel and management approaches. Special attention is paid to the issues of integrating innovative solutions into production processes and management structures of enterprises. Possible approaches to increasing the efficiency of work organization, resource optimization and process automation using artificial intelligence are considered. The research findings emphasize the need for a comprehensive approach to the implementation of AI, which combines technological solutions with changes in organizational and management processes. The strategies proposed in the article are aimed at improving the quality and speed of implementation of construction projects, which should contribute to increasing the overall productivity of the industry.
Determination of aphid (Hemiptera: Aphidoidea) species on vegetable and fruit fields in central districts of Konya province
Authors: Emir Zadife , Bayındır Erol Alime , Özdemir Işıl
Published: February 2025

This study was carried out to determine the aphid species found on fruit and vegetable fields in central districts (Karatay, Meram, and Selçuklu) of Konya province, a total of 218 samples were examined between 2022-2023 years and 20 aphid species belonging to Aphidinae subfamily of Aphidoidea superfamily were identified. These species are: Aphis craccivora Koch, Aphis fabae Scopoli, Aphis gossypii Glover, Aphis nasturtii Kaltenbach, Aulacorthum solani (Kaltenbach), Brachycaudus (Thuleaphis) amygdalinus (Schouteden), Brachycaudus (Prunaphis) cardui (L.), Brachycaudus helichrysi (Kaltenbach), Brachycaudus (Scrophulaphis) persicae (Passerini), Brevicoryne brassicae (Linnaeus), Dysaphis (Pomaphis) plantaginea (Passerini), Dysaphis (Pomaphis) pyri (Boyer de Fonscolombe), Hyalopterus pruni (Geoffroy), Macrosiphum euphorbiae (Thomas), Myzus cerasi (Fabricius), Myzus lythri (Schrank), Myzus (Nectarosiphon) persicae (Sulzer), Nasonovia ribisnigri (Mosley), Rhopalosiphum nymphaeae (Linnaeus) and Rhopalosiphum padi (Linnaeus). Aphis gossypii, A. fabae, A. nasturtii, Hyalopterus pruni and Myzus (Nectarosiphon) persicae were found to be the most common and widely distributed species in the study.
Enhancing AI Capabilities on the Abstraction and Reasoning Corpus: A Path Toward Broad Generalization in Intelligence
Authors: banerjee soumya
Published: February 2025

This position paper explores advancing artificial intelligence by improving its ability to generalize beyond training data, a key requirement for tasks in the Abstraction and Reasoning Corpus (ARC). Inspired by historical algorithmic challenges like the Bongard Problems, ARC tasks require pattern recognition and logical reasoning, pushing AI toward more flexible , human-like intelligence. We investigate DreamCoder, a neural-symbolic system, and the role of large language models in ARC. We emphasize the need for diverse data sources, inspired by human trials and synthetic data augmentation, and propose pipelines for logical reasoning using math-inspired neural architectures. This work underlines how ARC can guide AI research, bridging the gap between machine learning and mathematical discovery.
The States as a Laboratory: Legal Innovation and State Competition for Corporate Charters
Authors: Romano Roberta
Published: February 2025

Corporate law is an arena in which the metaphor of the "states as a laboratory" describes actual practice, and, for the most part, this is a laboratory that has worked reasonably well. The goal of this Article is to map out over time the diffusion of corporate law reforms across the states. The lawmaking pattern we observe indicates a dynamic process in which legal innovations originate from several sources, creating a period of legal experimentation that tends to identify a statutory formulation that is thereafter adopted by the vast majority of states. Delaware and the Model Act quite often work in tandem. But there are occasions when they advance differing legal rules, accounting for some of the diversity in corporation codes that we observe.
Two-headed planaria: Changes in target morphology through temporary gap junction inhibition
Authors: Seebold Patrick
Published: February 2025

Planaria are incredibly regenerative flatworms and offer an excellent model for exploring top-down interventions in biological systems. Here, I demonstrate a replication of a two-headed planarian phenotype by using gap junction inhibitors to modify the bioelectric state of regenerating worms. No alteration to the organism’s genome was required to achieve a lasting change in the organism’s final morphology. These results add further evidence to growing reports that bioelectric state may be an effective target for modifying macroscopic outcomes within a biological system.
Selective emotion regulation in creative art production: Psychophysiological reactivity during painting reduces anxiety
Authors: Bellaiche Lucas , Lihardo Kayla , Williams Chloe , Chaffee Jill , LaBar Kevin S , Seli Paul
Published: February 2025

Across the literatures of aesthetics, philosophy, and psychology, art has long been revered as a powerful means to enhance mental well-being–a perspective that has been integrated into clinical practices worldwide. While some empirical research supports the emotional benefits of art production, such work often captures non-creativity factors (e.g., physical movement, social interaction), leaving the contribution of creative expression on psychophysiological outcomes unclear. To address this issue, we conducted a pre-registered, multi-modal, repeated-measures study wherein participants completed both a painting task and a non-creative but active control task. Our findings demonstrate that, above and beyond the non-creativity processes shared with the control task, painting selectively reduces anxiety, and that greater cognitive engagement and physiological reactivity characterize this reduction. These findings highlight the multi-modal determinants of emotional improvement during artistic production, providing empirical support for the therapeutic benefits of art-making specific to the regulation of anxiety.
Simultaneity based on momentum conservation
Authors: Qu Wenjing
Published: February 2025

Einstein proposed the relativity of simultaneity to harmonize the results of the Lorentz transformation of special relativity. However, there are mathematical and logical flaws in the deductions of the Lorentz transformation, such as in the deduction of the time dilation from t’=γ(t-vx/c2) and x’=γ(x-vt), i.e., when x’=0 in x’=γ(x-vt), we obtain x=vt; substitution of this equation into t’=γ(t-vx/c2) yields t’=t/γ; however, the equation x=vt is inconsistent with the prerequisite equation x=ct. Here, an absolute simultaneity based on momentum conservation is proposed, according to which it is revealed that x’=ct’ is inconsistent with the factor of time dilation γ, and x’ should be equal to t’c2/(c+v). Furthermore, according to Space Motion Theory, the mechanism of x’=t’c2/(c+v) is attributed to red‒shift‒induced position velocity variation of photons.
MANAGERIAL JUSTICE AND MASS MISDEMEANORS
Authors: Kohler-Hausmann Issa
Published: February 2025

In the mid-1990s New York City inaugurated its era of mass misdemeanors by pioneering policing tactics featuring intensive enforcement against low-level offenses as part of its quality-of-life and urban crime control strategy. These tactics have since spread across the country and around the globe. But the New York City experiment embarrasses our traditional understanding of how an expansion of criminal enforcement should work: as misdemeanor arrests climbed dramatically as part of an intentional law enforcement strategy, the rate of criminal conviction fell sharply. Using extensive, original data from a multiyear study, this Article exposes an underappreciated model of criminal administration in New York City's processing of mass misdemeanors, one that makes sense of this trend Misdemeanor justice in New York City has largely abandoned what I call the adjudicative model of criminal law administration-concerned with adjudicating specific cases-and instead operates under what I call the managerial model concerned with managing people through engagement with the criminal justice system over time. The adjudicative model holds that courts stand between the proscriptions of substantive criminal law and the hard treatment of punishment by employing the criminal process to select the right people for punishment and to determine the proper amount. The managerial model does not depend on punishing individual instances of lawbreaking, but rather on using the criminal process to sort and regulate the populations targeted with these policing tactics over time. These findings challenge the "assembly-line" account so often associated with lower criminal courts, showing that misdemeanor courts engage in a tremendous amount of discretionary differentiation in the treatment of the people who flow through their operations. However, the basis of this differentiation is not what we would expect from the traditional adjudicative model of criminal law, namely guilt and blameworthiness.
The Effect of Performance-Based Compensation, Collaborative Work Environment, and Organizational Culture on Generation Z Employee Motivation in the Food and Beverage (F&B) Industry in Indonesia
Authors: Iradat Rayhan Sofyan S.Psi. M.Psi. Psikolog
Published: February 2025

This study investigates the impact of performance-based compensation, a collaborative work environment, and organizational culture on the motivation of Generation Z employees in Indonesia’s food and beverage (F&B) industry. Using a quantitative approach, data were collected from 45 respondents through a structured questionnaire measured on a Likert scale (1–5). The data were analyzed using SPSS version 25, employing descriptive statistics, reliability testing, correlation analysis, and multiple linear regression. The results indicate that all three factors significantly and positively influence Generation Z employee motivation, with organizational culture having the strongest effect, followed by performance-based compensation and a collaborative work environment. These findings highlight the importance of tailored HR practices to align with Generation Z preferences, ensuring higher employee engagement, satisfaction, and retention. This study offers practical insights for F&B managers to create a motivated and high-performing workforce in a competitive industry.
How Older Adults can Avoid Falls via Proactive and Reactive Gait Adaptability: A Brief Introduction
Authors: McCrum Christopher , van der Hulst Liset
Published: February 2025

To understand and intervene on the problem of falls among older adults, we must consider in what ways falls can be avoided. In this chapter, we discuss how people can avoid obstacle-induced falls like trips and slips via proactive and reactive gait adaptation. We introduce each concept and detail how gait adaptation pre and post contact with obstacles can be implemented in order to avoid or reduce falls risk. We also discuss how ageing may affect proactive and reactive gait adaptation and adaptability, particularly in the context of the sensory systems and movement execution. We conclude each section with some thoughts on interventions to improve these skills in older adults. Overall, both proactive and reactive gait adaptation to acute balance-threatening obstacles appear to be compromised with ageing. However, healthy older adults demonstrate the ability to improve in both aspects and this retained adaptability with ageing drives interest and research on these task-specific approaches to fall prevention.
Preliminary Psychometric Evidence for the K-3 Interstellar Express Assessment System
Authors: Petscher Yaacov , Catts Hugh William
Published: February 2025

Preliminary psychometrics for a new classroom assessment system of early reading and language skills in kindergarten through grade 3.
Mapping the landscape of multiverse-style data-analytic methods: A scoping review
Authors: Voracek Martin , Tran Ulrich S. , Kern Julia
Published: February 2025

Multiverse-style methods of data analysis try to account for all possible decisions that could be made by researchers during their analyses and show how those often arbitrary decisions lead to different results. A total of 424 sources were included in this first comprehensive scoping review on this topic, giving an overview of all applications and developments of multiverse-style data-analytic methods. The constant rise in applications of these methods in diverse scientific disciplines spurred developments in all their aspects. Inconsistencies could be found in terminology and, analysis and reporting of results of multiverse-style methods. Although preregistration still falls short, analysis code was available in almost half of all included sources. Concluding recommendations on good practice might further increase the standardisation and transparency of the methodology and provide a first guideline for multiverse-style methods.
Replication of Gino, Shu, and Bazerman (2010, Study 2)
Authors: Li Sophia , Moore Don A , Hu Kelly , bazerman max
Published: February 2025

We attempted to replicate Study 2 from Gino et al. (2010). The original result finds evidence for an outcome bias, in which influence of chance on outcomes drives observers’ ratings of a decision’s ethicality, especially when the victim is identified. This replication’s key preregistered analysis fails to reaffirm the original result.
A conceptual replication of the Psychological Typhoon Eye effect in the aftermath of the Petrinja earthquake in Croatia
Authors: Mertens Gaëtan , Dürrigl Marta
Published: February 2025

The Psychological Typhoon Eye (PTE) effect refers to the observation that those living in the epicenters of natural disasters or public emergencies exhibit lower levels of psychological distress than those living further away. The effect was first described in the aftermath of the 2008 Wenchuan earthquake (Li et al., 2009). However, despite its potential relevance for emergency relieve, this phenomenon has received little research attention and requires further replication. Therefore, data was collected following an earthquake with a magnitude of 6.4 on the Richter scale that occurred in December 2020 in Petrinja, Croatia. The goals of this study were to replicate the PTE effect using the original measures used by Li et al. (2009) and to conceptually replicate the effect using the validated Depression, Anxiety, and Stress Scales (DASS; Lovibond & Lovibond, 1995). The sample consisted of 316 participants living in Croatia at the time of the earthquake. We found no evidence for the PTE effect in our study. Instead, we observed a ripple effect, whereby those in the epicenter showed the most psychological distress. We argue that the ripple effect, rather than the PTE effect, should be seen as the default psychological response pattern to natural disasters and emergencies.
Likelihood of following a physician prescription to engage in the arts: rates and predictors in a representative sample of US adults
Authors: Fancourt Daisy
Published: February 2025

Healthcare systems around the world are demonstrating increasing engagement with social prescribing of activities such as engagement in the arts (“arts on prescription”). However, what remains unclear is how people perceive receiving a referral to the arts from a clinician (i.e. an arts prescription), and, more specifically, whether arts prescriptions are likely to be taken up by recipients. Data were taken from the Americans Speak Out About the Arts in 2023 Survey led by Americans for the Arts in the US. A sample of 3,062 adults aged 18+ from the continental U.S. were recruited and interviewed online in English, of whom 2,996 provided complete data for analyses (52.5% female, 70.1% White). Participants were asked “If your doctor wrote you a prescription to participate in the arts as a means of improving your physical or mental health (singing in a choir, taking a ceramics class, dancing, or joining a book club, etc.), how likely are you to follow their recommendation?”. Overall, 76% said they were somewhat or very likely to follow a doctor’s recommendation if they were given a prescription to engage in the arts. Multiple logistic regression models showed that the strongest predictors of positive responses were experience of past health benefits from the arts, belief in future health benefits, high educational attainment, approval of government arts funding, existing engagement in the arts, and being female. Applying behaviour change frameworks, the strongest identified predictors relate to reflective motivations, suggesting that rich programmes aimed at explaining what arts on prescription is, how it works, why patients are receiving referrals, what the evidence base is, and what benefits patients may experience could be fundamental to increasing uptake as pilot schemes of arts on prescription continue to develop in the US.