bluuebunny/crossref_metadata_2025 huggingface dataset:
Deep learning to predict rapid progression of Alzheimer’s disease from pooled clinical trials: A retrospective study
Authors: Ma Xiaotian , Shyer Madison , Harris Kristofer , Wang Dulin , Hsu Yu-Chun , Farrell Christine , Goodwin Nathan , Anjum Sahar , Bukhbinder Avram S. , Dean Sarah , Khan Tanveer , Hunter David , Schulz Paul E. , Jiang Xiaoqian , Kim Yejin
Published: April 2024

The rate of progression of Alzheimer’s disease (AD) differs dramatically between patients. Identifying the most is critical because when their numbers differ between treated and control groups, it distorts the outcome, making it impossible to tell whether the treatment was beneficial. Much recent effort, then, has gone into identifying RPs. We pooled de-identified placebo-arm data of three randomized controlled trials (RCTs), EXPEDITION, EXPEDITION 2, and EXPEDITION 3, provided by Eli Lilly and Company. After processing, the data included 1603 mild-to-moderate AD patients with 80 weeks of longitudinal observations on neurocognitive health, brain volumes, and amyloid-beta (Aβ) levels. RPs were defined by changes in four neurocognitive/functional health measures. We built deep learning models using recurrent neural networks with attention mechanisms to predict RPs by week 80 based on varying observation periods from baseline (e.g., 12, 28 weeks). Feature importance scores for RP prediction were computed and temporal feature trajectories were compared between RPs and non-RPs. Our evaluation and analysis focused on models trained with 28 weeks of observation. The models achieved robust internal validation area under the receiver operating characteristic (AUROCs) ranging from 0.80 (95% CI 0.79–0.82) to 0.82 (0.81–0.83), and the area under the precision-recall curve (AUPRCs) from 0.34 (0.32–0.36) to 0.46 (0.44–0.49). External validation AUROCs ranged from 0.75 (0.70–0.81) to 0.83 (0.82–0.84) and AUPRCs from 0.27 (0.25–0.29) to 0.45 (0.43–0.48). Aβ plasma levels, regional brain volumetry, and neurocognitive health emerged as important factors for the model prediction. In addition, the trajectories were stratified between predicted RPs and non-RPs based on factors such as ventricular volumes and neurocognitive domains. Our findings will greatly aid clinical trialists in designing tests for new medications, representing a key step toward identifying effective new AD therapies.
Into the Wild: A novel wild-derived inbred strain resource expands the genomic and phenotypic diversity of laboratory mouse models
Authors: Dumont Beth L. , Gatti Daniel M. , Ballinger Mallory A. , Lin Dana , Phifer-Rixey Megan , Sheehan Michael J. , Suzuki Taichi A. , Wooldridge Lydia K. , Frempong Hilda Opoku , Lawal Raman Akinyanju , Churchill Gary A. , Lutz Cathleen , Rosenthal Nadia , White Jacqueline K. , Nachman Michael W.
Published: April 2024

The laboratory mouse has served as the premier animal model system for both basic and preclinical investigations for over a century. However, laboratory mice capture only a subset of the genetic variation found in wild mouse populations, ultimately limiting the potential of classical inbred strains to uncover phenotype-associated variants and pathways. Wild mouse populations are reservoirs of genetic diversity that could facilitate the discovery of new functional and disease-associated alleles, but the scarcity of commercially available, well-characterized wild mouse strains limits their broader adoption in biomedical research. To overcome this barrier, we have recently developed, sequenced, and phenotyped a set of 11 inbred strains derived from wild-caught Mus musculus domesticus. Each of these “Nachman strains” immortalizes a unique wild haplotype sampled from one of five environmentally distinct locations across North and South America. Whole genome sequence analysis reveals that each strain carries between 4.73–6.54 million single nucleotide differences relative to the GRCm39 mouse reference, with 42.5% of variants in the Nachman strain genomes absent from current classical inbred mouse strain panels. We phenotyped the Nachman strains on a customized pipeline to assess the scope of disease-relevant neurobehavioral, biochemical, physiological, metabolic, and morphological trait variation. The Nachman strains exhibit significant inter-strain variation in >90% of 1119 surveyed traits and expand the range of phenotypic diversity captured in classical inbred strain panels. These novel wild-derived inbred mouse strain resources are set to empower new discoveries in both basic and preclinical research.
Genetic interaction mapping reveals functional relationships between peptidoglycan endopeptidases and carboxypeptidases
Authors: Alvarado Obando Manuela , Rey-Varela Diego , Cava Felipe , Dörr Tobias
Published: April 2024

Peptidoglycan (PG) is the main component of the bacterial cell wall; it maintains cell shape while protecting the cell from internal osmotic pressure and external environmental challenges. PG synthesis is essential for bacterial growth and survival, and a series of PG modifications are required to allow expansion of the sacculus. Endopeptidases (EPs), for example, cleave the crosslinks between adjacent PG strands to allow the incorporation of newly synthesized PG. EPs are collectively essential for bacterial growth and must likely be carefully regulated to prevent sacculus degradation and cell death. However, EP regulation mechanisms are poorly understood. Here, we used TnSeq to uncover novel EP regulators in Vibrio cholerae. This screen revealed that the carboxypeptidase DacA1 (PBP5) alleviates EP toxicity. dacA1 is essential for viability on LB medium, and this essentiality was suppressed by EP overexpression, revealing that EP toxicity both mitigates, and is mitigated by, a defect in dacA1. A subsequent suppressor screen to restore viability of ΔdacA1 in LB medium identified hypomorphic mutants in the PG synthesis pathway, as well as mutations that promote EP activation. Our data thus reveal a more complex role of DacA1 in maintaining PG homeostasis than previously assumed.
Severe leptospirosis in tropical and non-tropical areas: A comparison of two french, multicentre, retrospective cohorts
Authors: Allyn Jérôme , Miailhe Arnaud-Félix , Delmas Benjamin , Marti Lucas , Allou Nicolas , Jabot Julien , Reignier Jean
Published: April 2024

Background

Leptospirosis is an anthropozoonosis that occurs worldwide but is more common in tropical regions. Severe forms may require intensive care unit (ICU) admission. Whether the clinical patterns and outcomes differ between tropical and non-tropical regions with similar healthcare systems is unclear. Our objective here was to address this issue by comparing two cohorts of ICU patients with leptospirosis managed in mainland France and in the overseas French department of Réunion, respectively.

Methodology/Principal findings

We compared two retrospective cohorts of patients admitted to intensive care for severe leptospirosis, one from Reunion Island in the Indian Ocean (tropical climate) and the other from metropolitan France (temperate climate). Chi-square and Student’s t tests were used for comparisons. After grouping the two cohorts, we also performed multiple correspondence analysis and hierarchical clustering to search for distinct clinical phenotypes. The Réunion and Metropolitan France cohorts comprised 128 and 160 patients respectively. Compared with the Réunion cohort, the metropolitan cohort had a higher mean age (42.5±14.1 vs. 51.4±16.5 years, p<0.001). Severity scores, length of stay and mortality did not differ between the two cohorts. Three phenotypes were identified: hepato-renal leptospirosis (54.5%) characterized by significant hepatic, renal and coagulation failure, with a mortality of 8.3%; moderately severe leptospirosis (38.5%) with less severe organ failure and the lowest mortality rate (1.8%); and very severe leptospirosis (7%) manifested by neurological, respiratory and cardiovascular failure, with a mortality of 30%.

Conclusions/Significance

The outcomes of severe leptospirosis requiring ICU admission did not differ between tropical and temperate regions with similar healthcare access, practices, and resources, despite some differences in patient characteristics. The identification of three different clinical phenotypes may assist in the early diagnosis and management of severe leptospirosis.
Engineering surface state density of monolayer CVD grown 2D MoS2 for enhanced photodetector performance
Authors: Polumati Gowtham , Kolli Chandra Sekhar Reddy , de Luna Bugallo Andres , Sahatiya Parikshit
Published: April 2024

This study demonstrates the effect of nitrogen doping on the surface state densities (Nss) of monolayer MoS2 and its effect on the responsivity and the response time of the photodetector. Our experimental results shows that by doping monolayer MoS2 by nitrogen, the surface state (Nss) increases thereby increasing responsivity. The mathematical model included in the paper supports the relation of photocurrent gain and its dependency on trap level which states that the increasing the trap density increases the photocurrent gain and the same is observed experimentally. The experimental results at room temperature revealed that nitrogen doped MoS2 have a high NSS of 1.63 X 1013 states/m2/eV compared to undoped MoS2 of 4.2 x 1012 states/m2/eV. The increase in Nss in turn is the cause for rise in trap states which eventually increases the value of photo responsivity from 65.12 A/W (undoped MoS2) to 606.3 A/W (nitrogen doped MoS2). The response time calculated for undoped MoS2 was 0.85 sec and for doped MoS2 was 0.35 sec. Finally, to verify the dependence of surface states on the responsivity, the surface states were varied by varying temperature and it was observed that upon increment in temperature, the surface states decreases which causes the responsivity values also to decrease.
Identifying 2SLGBTQ+ individuals experiencing homelessness using Point-in-Time counts: Evidence from the 2021 Toronto Street Needs Assessment survey
Authors: Abramovich Alex , Marshall Max , Webb Christopher , Elkington Nicole , Stark Rowen K. , Pang Nelson , Wood Linda
Published: April 2024

Introduction

The objective of this study was to utilize the data generated by the City of Toronto, Street Needs Assessment conducted in 2021 to explore the prevalence, causes, experiences, and characteristics of 2-spirit, lesbian, gay, bisexual, transgender, queer, and questioning (2SLGBTQ+) individuals experiencing homelessness in Toronto, Ontario, Canada.

Methods

Data was collected by the City of Toronto during its Street Needs Assessment in April 2021. The Street Needs Assessment is a needs assessment survey and Point-in-Time count of people experiencing homelessness across the city of Toronto. Homelessness included any individual who was sleeping outdoors or staying in City-administered emergency/transitional shelters and shelter motels/hotels on the night of data collection. The Street Needs Assessment survey was administered to clients by trained shelter and outreach staff using a computer or mobile device. To ensure that survey questions were 2SLGBTQ+ inclusive, questions on sexual orientation, gender identity, and 2SLGBTQ+ identity were included in the survey.

Results

Two hundred and eighty-eight 2SLGBTQ+ individuals completed the survey. Compared to non-2SLGBTQ+ individuals experiencing homelessness, 2SLGBTQ+ respondents were younger at the time of survey completion and when they first experienced homelessness, were more likely to have been in foster care or a group home, reported higher rates of conflict with and/or abuse by a parent/guardian as their main pathway into homelessness, and were more likely to experience chronic homelessness.

Conclusion

Our study results demonstrate that Street Needs Assessments and Point-in-Time counts can be used to examine homelessness in marginalized populations, including 2SLGBTQ+ individuals and that sexual orientation and gender identity questions need to be included on future government surveys. The consistency of findings from this study and previous research suggests that 2SLGBTQ+ individuals experience a significant need for population-based housing and social support services aimed at meeting the needs of 2SLGBTQ+ populations.
The peer effects of resident stock market participation: Evidence from 2019 CHFS
Authors: Lin Zhijian , Kong Manyu , Li Guoli , Wang Xin
Published: April 2024

Limited resident’s participation in the stock market has become a key constraint to the capital market development. Utilizing the 2019 China Household Financial Survey (CHFS) data, our paper designs probit models to examine the peer effects of residents’ stock market participation and explore the intermediary mechanisms with a multiple intermediary model. We find that: (1) Resident involvement in stock market decision-making exhibits significant peer effects. (2) Heterogeneity analysis reveals that males and rural residents display more pronounced peer effects than females and urban residents. Additionally, middle-aged residents demonstrate more potent peer effects than their younger and older counterparts, with the intensity of peer effects correlating with education levels. (3)We observe that the peer effects of market participation operate by altering economic expectations and enhancing residents’ financial literacy. (4) Further investigation establishes that individuals engaging in stock market investments manifest peer effects when deciding whether to diversify their stock portfolio. This study holds reference value for analyzing the impact of social interaction on financial behaviors and regulating individuals’ financial conduct.
High-resolution comparative atomic structures of two Giardiavirus prototypes infecting G. duodenalis parasite
Authors: Wang Han , Marucci Gianluca , Munke Anna , Hassan Mohammad Maruf , Lalle Marco , Okamoto Kenta
Published: April 2024

The Giardia lamblia virus (GLV) is a non-enveloped icosahedral dsRNA and endosymbiont virus that infects the zoonotic protozoan parasite Giardia duodenalis (syn. G. lamblia, G. intestinalis), which is a pathogen of mammals, including humans. Elucidating the transmission mechanism of GLV is crucial for gaining an in-depth understanding of the virulence of the virus in G. duodenalis. GLV belongs to the family Totiviridae, which infects yeast and protozoa intracellularly; however, it also transmits extracellularly, similar to the phylogenetically, distantly related toti-like viruses that infect multicellular hosts. The GLV capsid structure is extensively involved in the longstanding discussion concerning extracellular transmission in Totiviridae and toti-like viruses. Hence, this study constructed the first high-resolution comparative atomic models of two GLV strains, namely GLV-HP and GLV-CAT, which showed different intracellular localization and virulence phenotypes, using cryogenic electron microscopy single-particle analysis. The atomic models of the GLV capsids presented swapped C-terminal extensions, extra surface loops, and a lack of cap-snatching pockets, similar to those of toti-like viruses. However, their open pores and absence of the extra crown protein resemble those of other yeast and protozoan Totiviridae viruses, demonstrating the essential structures for extracellular cell-to-cell transmission. The structural comparison between GLV-HP and GLV-CAT indicates the first evidence of critical structural motifs for the transmission and virulence of GLV in G. duodenalis.
Between necessity and fragments of alternativity: DIY experiences in French roller derby
Authors: Messey Orlane
Published: April 2024

Between 1935 and 1970, roller derby was a co-ed North American sport practised on roller skates and played on a banked track. The 2000s marked its revival when a group of women decided to give it a new lease of life: roller derby is now exclusively for women and takes place on a flat track. Teams assert their independence from established institutions and follow a model of ‘do-it-yourself’ organization. According to some critics, the roller derby revival is a continuation of the feminist Riot Grrrl movement. This article aims to understand how French roller derby players use the ‘alternative’ heritage of American women. By mobilizing the frameworks of Cultural Studies and Sport Subculture, the article reflects on the ways in which the legacy of Riot Grrrl, as a movement to challenge a dominant order, enables derby teams to create alternatives to mainstream sports models. Through 90 interviews and participant observation conducted between January 2020 and the present day, the study was able to show a use of the DIY ethos articulated between resourcefulness and a claim to independence. While Riot Grrrl radically defends the values of the punk movement, against the prevailing economic and gender order, French roller derby and its teams propose a hybrid sporting model, articulated between reflections on a different way of looking at sport and a move away from the DIY model of the early days.
How Brexit changed migration: French citizens in London from ‘EU movers’ to ‘migrants’
Authors: Reed-Danahay Deborah
Published: April 2024

For the French in London, as for other citizens of the European Union, the Brexit process resulted in the end of free movement for EU citizens relocating to the United Kingdom and affected the rights of those already living there. This article traces how Brexit shaped the spatial choices of middle-class French citizens whose status in London changed as they became international migrants with diminished rights in the United Kingdom. This case study, based on longitudinal ethnographic research between 2014 and 2022, sheds light on how relative privilege operates in migration processes and draws attention to the diversity of experience among middle-class migrants when new bordering arrangements are enacted.
Diversity within commonality: A comparative study of the impact of foreign direct investment and trade openness on economic growth
Authors: Bieleń Martyna , Ikani Kingsley Success , Włodarczyk Julia
Published: April 2024

The relationships between foreign direct investment (FDI), trade openness, and economic growth are complex and analyzed by many researchers. Still, there are some gaps in our knowledge as literature documents positive, negative, and ambiguous impact of FDI and trade openness on economic growth. This paper addresses one of these gaps and focuses on the similarities and differences among countries from Central and Eastern Europe and West Africa. The econometric analysis covers the 1995-2022 period and employs panel data methods to reveal the long-term positive impact of FDI and trade openness on economic growth in West African countries and long-term positive impact of FDI on economic growth in Central and Eastern European countries. We also demonstrate that apart from cross-border linkages captured by FDI and trade flows, economic growth in Central and Eastern European countries positively correlates with global economic development, however, in case of West Africa this effect is statistically insignificant.
Late manifestation of autoimmune polyglandular syndrome type 1 with hypoparathyroidism and autoimmune thyroiditis
Authors: Nuralieva N. F. , Lavreniuk A. A. , Galeev A. S. , Yukina M. Yu. , Platonova N. M. , Troshina E. A.
Published: April 2024

Autoimmune polyglandular syndrome type 1 (APS 1) is a rare genetic disorder caused by a mutation in the autoimmune regulator AIRE gene. The diagnosis is usually based on the combination of at least two components of the classic triad: mucocutaneous candidiasis, hypoparathyroidism, and primary adrenal insufficiency. Other autoimmune disorders, including thyroid diseases, also occur and may manifest before the primary components. The disease is more likely to   manifest during infancy, but some components may develop in adult patients. As the components of the syndrome do not occur simultaneously, verification of the diagnosis is often delayed. A significant challenge in the management of patients with APS 1 is the selection of optimal drug doses due to polypragmasy and the frequent presence of autoimmune disorders and/or candidiasis of the gastrointestinal tract. We present a clinical case of a patient with an atypical course of APS 1, in whom the first endocrine components (hypoparathyroidism and hypothyroidism) were diagnosed in adulthood. This case highlights the phenotypic diversity of APS 1, and the difficulties in selecting therapy when several autoimmune endocrine diseases are combined.
Sujeito virtual discursivo e efeitos de sentidos sobre limpeza pública em compartilhamento de postagem nas redes sociais
Authors: Silva Aurílio Soares da , Santos Janete Silva dos , Leite João de Deus
Published: April 2024

A popularização da internet e, consequentemente, das redes sociais funda um espaço sociointerativo com as condições de produção de discursos que, estabelecendo novos mecanismos de discursivização, são determinantes para o surgimento de uma entidade característica desse lugar: o sujeito virtual discursivo, fruto dessas novas formas de relacionamento. Isso, por conseguinte, trouxe diversas implicações ao ciberespaço, sobretudo no que diz respeito às informações compartilhadas, as quais expressam posições ideológicas que, por vezes, estão carregadas de discursos discriminatórios e preconceituosos tal como ocorrem nas interações corpo a corpo. Neste trabalho, buscamos evidenciar essas posições de intolerância por meio da análise de uma postagem do perfil da Prefeitura Municipal de Araguaína-TO. Para isso, assumimos que o ato de compartilhamento de uma postagem pode constituir meio de manifestação da posição ideológica/discursiva do compartilhador; ou seja, uma postagem como foto, desenho, charge ou de outro tipo não somente diz respeito à posição discursiva de quem produz a materialidade, mas também de quem a reproduz, dando a ela visibilidade, ao compartilhá-la em seu perfil de redes sociais.
Superando desafios clínicos com facetas de cerâmica
Authors: Bona Alvaro Della , Bona Izadora Col Debella S. Della , Bona Diogo Scheffer Della
Published: April 2024

Introdução: As facetas de cerâmica são uma opção confiável para o tratamento odontológico, com uma taxa muito baixa de falhas clínicas. Elas são consideradas um tratamento biocompatível e conservador para atender às expectativas dos pacientes na resolução de desafios estéticos. Objetivo: Relatar, com base nas evidências científicas disponíveis, as vantagens e desvantagens das facetas de cerâmica, ilustrando com procedimentos clínicos descritos passo a passo, incluindo os diferentes tipos de preparo dentário, restaurações provisórias e estratégia adesiva e de cimentação. Conclusões: Entre as diferentes restaurações estéticas, as facetas de cerâmica se destacam por apresentarem estabilidade de cor, alta resistência e durabilidade, excelente acabamento superficial e textura, resistência à abrasão e baixo acúmulo de placa bacteriana.
Por que os melhores dentistas não são os maiores influenciadores na Odontologia?
Authors: Soares Paulo Vinicius
Published: April 2024

A vida de qualquer trabalhador ou profissional já foi modulada por diferentes Eras, independentemente de ser da área da saúde, humanas, exatas ou qualquer outro campo de atividade comercial. No passado, vivemos a Era da Tecnologia, modulada principalmente pela Revolução Industrial. O poder estava nas mãos de quem possuía os equipamentos, as máquinas e a tecnologia mais atual, mais evoluída. Essa Era deixou resquícios nas gerações de profissionais atuais. Na Odontologia, assim como em outras áreas, estamos sempre em busca da melhor tecnologia para nossa atuação. No entanto, a tecnologia está mais globalizada, mais acessível e com mais opções de aquisição, em comparação ao passado.
Entrevista Livia Fávaro Zeola
Authors: Zeola Livia Fávaro , Soares Paulo Vinicius
Published: April 2024

1. Qual a relação das doenças gastroesofágicas (DGE) com a hipersensibilidade dentinária? A etiologia das doenças não cariosas (DNC) possui um caráter multifatorial e que frequentemente envolve estilo de vida do paciente e doenças de origem não bucal. Um dos fatores envolvidos nesse processo é a ação de ácidos de diferentes origens na desmineralização e degradação dos tecidos dentários. Os ácidos de origem exógena estão relacionados, principalmente, a hábitos alimentares, estilo de vida, medicamentos e exposição ocupacional. Por outro lado, aqueles de origem endógena são principalmente provenientes de distúrbios alimentares (bulimia e anorexia nervosa) e doenças gástricas.
COMPUTER MODELING IN STUDYING GEOMETRIC AND GRAPHIC DISCIPLINES
Authors: Agapov M.E. , Musienko O.A. , Shirlina I.I.
Published: April 2024

The training of engineering personnel includes mastering all the necessary competencies that allow solving modern engineering problems at a high professional level. Geometric and graphic disciplines are the basis of a welltrained specialist. Studying descriptive geometry, engineering and computer graphics is necessary in the modern world of digital technology. Therefore, to use classical tools (a ruler, a pencil, a compass) it is necessary to master and automate designing, which provides the ability to design, calculate and model objects of various complexity. The paper aims to develop a new methodology for performing computational and graphic work (CGW) in the training course “Engineering and Computer Graphics”, which allows you to move from a flat representation of the original and design surface to a visual form for the purpose of analyzing and determining optimization paths. The application of the resulting methodology will improve the efficiency of training engineering and construction personnel.
Educação Profissional e Tecnológica
Authors: Gois Marques da Cunha Anderson , Ferreira Leite Emanuel , Luiz Alves José , Alves dos Santos de Almeida Milena
Published: April 2024

A educação profissional e tecnológica (EPT) desempenha um papel significativo na integração da força de trabalho. No contexto de políticas públicas interconectadas, a EPT surgiu como uma alternativa para promover novas habilidades relacionadas ao trabalho. Este estudo tem como objetivo avaliar os efeitos percebidos de um modelo integrado de formação profissional sob a perspectiva de gestores e agentes do programa. O foco escolhido é o Programa de Educação Básica e Educação Profissional (EBEP), uma parceria envolvendo o Sesi, Senai e o governo federal. Utilizando uma abordagem qualitativa, a pesquisa envolveu entrevistas individuais semiestruturadas com colaboradores do programa, complementadas por análise de documentos e observação participante no período de 2016 a 2022. Os resultados destacam a importância social do EBEP, oferecendo educação profissional de alta qualidade em áreas urbanas e periféricas. O modelo enfatiza a formação colaborativa com uma abordagem cívica e metodologia baseada em competências, projetada para preparar indivíduos para funções empreendedoras. No entanto, um aumento no investimento e uma análise mais detalhada de outras iniciativas de educação profissional em níveis locais e nacionais são imperativos.
The Impact of Internal and External Factors on the Impairment of Goodwill
Authors: Prodanova Natalia , Tarasova Olga , Khasanova Alfiia , Makarov Anatoly , Malushin Ivan , Akhmetova Milyausha
Published: April 2024

This study analyzes the influence of external and internal factors on the goodwill impairment of Russian IT-companies.  The relevance of the study lies in the fact that in recent years large Russian companies have been diversifying their sources of income by switching to business ecosystems. This approach implies numerous mergers and takeovers with companies in different industries, which often form additional goodwill of the parent company. The impairment of goodwill, in turn, directly affects the further valuation of such firms and their investment attractiveness. This article discusses the facts of goodwill impairment in the largest players of the Russian IT market that implement their own cross-industry ecosystems: Yandex and VK.Group. The research methods are the analysis of relevant literature and financial statements of the companies, together with analytical methods of indicator estimation.  As part of the research result, it is expected to identify common triggers that have an impact on goodwill impairment in the IT-industry in Russia.
National Soft Law in the Information Society
Authors: Ivan  , Davydova Marina , Konstantinov Alexandr
Published: April 2024

The article is devoted to the study of acts of national soft law and to identify their advantages and disadvantages in the context of determining the possibility of solving with its help, the problems of legal regulation, generated, inter alia, by the informatization and globalization of law, for example, the problem of instability of legislation. Methods such as formal logic, systemic and structural analysis, thought experiments, legal forecasting, and modeling using ideal models are applied. The following official documents are considered to constitute acts of national soft law because they are commonly used in domestic legal regulations: official explanations, planning documents, and recommendations. Such documents have been investigated for their impact on the stability of the Russian legal system. National soft laws have shown their significant potential in this area, because they, first of all, possess greater stability than traditional laws, and secondly, they are able to avoid additional legislative changes.
Relevant Problems of Intangible Asset Impairment in The Russian IT Industry
Authors: Prodanova Natalia , Tarasova Olga , Volobuev Vitalii , Aleshko Roman , Vaslavskaya Irina , Shichiyakh Rustem
Published: April 2024

A indústria de TI está evoluindo rapidamente e começando a penetrar em todas as áreas da vida. As grandes empresas estão a formar ecossistemas que lhes permitem expandir e diversificar significativamente as suas fontes de rendimento. No caso da indústria de TI, o desenvolvimento da base de software para a implementação de tais ecossistemas depende diretamente de novos produtos de software, patentes, tecnologias e know-how, que na contabilidade moderna são maioritariamente classificados como ativos intangíveis. Assim, examinar o impacto de fatores externos e internos na imparidade deste tipo de ativos é uma questão de grande relevância na conjuntura atual. Este artigo se concentrará nos ativos intangíveis das principais empresas russas de TI, como Yandex e VK.Group. O estudo inclui uma análise da literatura relevante e do quadro regulamentar sobre imparidade de ativos intangíveis, bem como um exame da dinâmica do desempenho da demonstração da posição financeira do Yandex e do VK.Group relacionada com esta questão. A pesquisa pretende delinear as especificidades da redução ao valor recuperável de ativos intangíveis na indústria e as questões que surgem durante esse processo. Com base nos resultados, as empresas de TI ampliaram sua base de ativos devido à expansão ativa de serviços e fontes de renda. À medida que a Yandex se expandiu, a sua quota de ativos intangíveis aumentou, enquanto o VK.Group reduziu a sua quota de ativos intangíveis.
Education Technology for the E-Learning Systems in Schools
Authors: Duy Hai Tuong , Thanh Tuyen Dinh , Thi Thuy Hong Pham
Published: April 2024

As a direct result of the integration of technology and education, e-learning has emerged as a powerful learning medium, especially using Internet technologies. The main objective of this research was to investigate the use of new educational technologies and its relationship with the academic progress of students in schools and to provide appropriate solutions. The quality of e-learning is dependent on the extent to which the technology, interactions, content and services allow the learner and the teacher to perform according to their expectations in the learning environment and obtain satisfaction. Increasing the capabilities of e-learning and the possibility of achieving educational goals in this way depends on considering its many dimensions and aspects and paying attention to the factors influencing the e-learning system. By using electronic content, a wider range of students' senses are involved in the teaching-learning process, and the learning process becomes deeper and students' enthusiasm increases.
Evaluating Machine Learning Models for Healthcare Services Efficiency
Authors: Sukiasyan Ani
Published: April 2024

The article is dedicated to the problem of assessing the quality of healthcare using machine learning algorithms. It is proposed to evaluate categorical term “healthcare quality” as discrete variable on the basis of data on treatment result, provided by one of the major hospitals in Russia. Preliminary analysis of both dependent and explanatory variables is provided. The statistics of results of treatment depending on the age and gender of patients are analyzed. The necessity of reducing the initial dataset is justified. The ways of correction the imbalance in dataset is proposed, such as SMOTE and Tomek Links On the basis of corrected data ordered logit and Random Forest models were designed. The comparative analysis of various models is presented. The drawbacks of each model are explained. The ordered logit model on balanced data allowed to determine factors, that have greatest positive impact on the treatment result as well as Random Forest model made the predictions as accurate as it is possible. On the basis of results obtained, the recommendations to improve the healthcare efficiency in the framework of particular hospital are made.
Paremiological Units with a Component of Mnodality Related to the Abstract Concepts in English, Tatar and Spanish Languages
Authors: Khasanova Oksana V. , Kajumova Diana F. , Demirag Diana N. , Karimova Anna A. , Shafigullina Liliya Sh. , Khairullina Nailya R. , Tuktarova Guzel M.
Published: April 2024

The article is devoted to a comparative analysis of the semantic features of paremiological units (PU) with a modality component, related to the abstract concepts of love, happiness, the meaning of life, luck in English, Spanish and Tatar languages. The theoretical significance of the research lies in the fact that the work will supplement scientific materials on linguistics, which will contribute to the development of issues of universality, national characteristics of the compared languages and the definition of elements of the world language picture. The practical significance of the study lies in the fact that the totality of the minds of native speakers and representatives of different cultures determines the conditions for successful intercultural communication that helps to overcome the language barrier.
Methodological Aspects of the Study of the Resource Potential of Pension Provision as an Object of Modeling and Forecasting
Authors: Vafin Eduard Ya. , Kiselev Sergey V.
Published: April 2024

The article deals with the methodological aspects of the study of the resource potential of pension provision as an object of modeling and forecasting. It is noted that the resource potential, the parameters of its condition become factors in the development of a promising state policy for the development of the pension system, and the use of a systematic approach is a necessary step in strategic analysis, modeling and long-term forecasting. The position is substantiated that the functioning of the pension system in difficult political, socio-economic and demographic conditions, the urgent need to solve a set of problems for the implementation of the target function of the pension system actualizes the need to use a set of modeling and forecasting methods, both pension obligations and insurance premiums. The content characteristics of the resource potential of pension provision as an object of modeling are disclosed, including its state, behavior, individuality, boundaries of the object, which serve as initial information in the construction and study of models. The levels of relations and connections of the resource potential, which unite spatial and temporal characteristics, are revealed. The conceptual scheme of the methodology for forecasting the resource potential of the state pension system is substantiated and the methodological principles for forecasting the potential of pension resources are formulated.
Mbot Robot as Part of Project-Based Learning In STEM
Authors: Orhani Senad
Published: April 2024

Students of modern times are learning fast and passionately. They love the interactivity and are very interested in science. Robotics can be safely assigned as engineering for students. This is the first step toward disciplines such as programming, mathematics, science, and algorithms. Thus, the objective of the study is to investigate the feasibility of implementing robotics in our educational system to develop learning in STEM subjects. Therefore, the main purpose of this study was to investigate the effect of mBot robot activities in STEM subjects as part of project-based learning, to determine their satisfaction and perceptions of the project carried out. The methodology used for this research is the descriptive study model, which combines qualitative and quantitative research methods. The selected sample of 14 students was a purposive sample, since the participants were the students who had implemented the robotics competition project. Quantitative data is collected from questionnaires, while qualitative data is generated from open-ended survey questions. From the results of this study, it has been shown that the integration of the mBot robot into the educational system will undoubtedly increase the effectiveness of teaching and learning STEM education. Also, it was found that the level of students' creativity, attitude, and motivation increased with the inclusion of the mBot robot during project-based learning in STEM.
The Role of Judges in Selecting Efficient Norms in a Common Law System: A Law and Economics Perspective
Authors: Padre Diogo Augusto Vidal , Rêgo Leandro Chaves
Published: April 2024

This study delves into the common law efficiency theory, proposing that the efficiency of legal norms in common law systems predominantly depends on judges’ biases towards efficiency. By developing an economic model, it is demonstrated that the proportion of efficient norms correlates with the predisposition of judges towards efficiency, influenced by their personal beliefs. Historical analysis of common and civil law systems reveals that neither inherently guarantees efficiency; rather, their efficiency is contingent upon their adaptability to societal needs and prevailing judicial ideologies. The paper concludes that the efficiency of a legal system relies on its congruence with societal values and judicial ideologies, emphasizing that shifts in the judiciary’s ideological makeup have implications on legal system efficiency. This research contributes to a deeper understanding of the multifaceted process shaping legal norms in common law, highlighting the critical role of judges, societal values, and legislative dynamics.
Deferred 𝜎-statistical summability in intuitionistic fuzzy 𝑟-normed linear spaces
Authors: Kumar Vijay , Sharma Archana , Kumari Reena
Published: April 2024

In this paper, we define and study three novel summability concepts – strong deferred 𝜎-summability, deferred 𝜎-statistical summability, and 𝜎-statistical summability in intuitionistic fuzzy 𝑟-normed linear spaces (briefly called IF-𝑟-NLS) by using 𝜎-mean.
We also provide an example in support of the new notions and uncover some interesting relationships.
Additionally, we study deferred 𝜎-statistical summability in the context of two pairs of sequences of positive integers, namely,

α
n

,

γ
n

\alpha_{n},\gamma_{n}

, and

u
n

,

v
n

u_{n},v_{n}

satisfying

α
n

≤

u
n

<

v
n

≤

γ
n

\alpha_{n}\leq u_{n}<v_{n}\leq\gamma_{n}

.
Re-investigating the Impact of Economic Growth, Energy Consumption, Financial Development, Institutional Quality, and Globalization on Environmental Degradation in OECD Countries
Authors: OuYang Junyan , Shah Syed Hasanat , Khan Muhammad Kamran , Bibi Munaza , Quddoos Muhammad Umer , Siddiqi Arslan Ahmad
Published: April 2024

This study attempts to quantify various macroeconomic variables’ influences on environmental quality. Being significantly negative in character, the impacts of economic growth (EG), energy consumption (EC) levels, financial development (FD) tools, changes in institutional qualities (IQUs), and globalization (GLO) on environmental degradation are regarded worthy of research. The dynamic panel model reports robust results using quantile regression and generalized moment method approaches. Renewable EC, GLO, and IQU significantly reduce the negative impacts on the natural environment across all quantiles. In contrast, electricity consumption has a significant deleterious impact across all quantiles, except at the 95% level, where the impact is not detrimental. EG and FD produce significantly positive injurious effects on the environment across all quantiles. Our findings reveal that callous indifference to global environmental degradation should not be tolerated for economic and ethical reasons, and it falls on the OECD countries to show leadership and take the initiative. OECD countries can mitigate environmental degradation by sharing knowledge and experience of balancing growth to promote sustainable development and responsible consumption globally.
Finnish reported speech and Swedish intratextual translations in 17th-century court records
Authors: Blomqvist Oliver
Published: April 2024

This paper studies on multilingual administrative writing in Sweden during the early modern era of emerging national language ideology within the domain of court writing. The source material for this study consists of lower-court records from Finnish-speaking areas of the Swedish realm c. 1620–1700. The court system in Sweden was reformed in 1614 with the establishment of appellate courts that scrutinized the sentences passed by lower courts. Court records were written in Swedish, the official language of administrative writing of the period, but certain segments, notably represented speech, could be rendered in Finnish. This required textual mediation between the prescribed Swedish language of the court protocol, and the non-standard spoken Finnish in the courtrooms. The aim is to examine the embedding strategies, retention patterns, and textual mediation in the multilingual writing of 17th-century Finnish court scribes. The results show that Finnish is retained for especially pertinent or untranslatable witness statements. At the end of the 17th century, the use of parallel Swedish translations and clarifications to Finnish items increased. It is argued that this increase is due to the imposition of autocracy in 1680 and a concomitant push towards monolingual Swedish uniformity within the entire realm.
Analysis of short-term wind speed variation, trends and prediction: A case study of Tamil Nadu, India
Authors: Kaja Bantha Navas Raja Mohamed , Prakash Subramaniam , Molnar Viktor
Published: April 2024

Purpose

The purpose of this research article is to analyze the short-term wind speed and develop a framework model to overcome the challenges in the wind power industry.

Design/Methodology/Approach

Real data with a case study of wind speed is presented to illustrate the advantages of this new wind speed analytical framework. Hourly measurements of wind speed are observed, and the experiments are conducted using tools such as ANOVA, control charts, trend analysis, and predictive models. The August month data for over 13 years from modern era retrospective-analysis for research and applications (MERRA) National aeronautics and space administration (NASA) for Coimbatore and Erode locations in Tamil Nadu, India, have been used. The results were considered for the study to understand the wind speed data and the implementation of new wind power projects in India.

Findings

The essence of the proposed wind speed analytical framework is its flexible approach, which enables the effective integration of wind firms’ individual requirements by developing tailor-made analytical evaluations.

Originality/Value

This article derives the wind speed analytical framework with the application of statistical tools and machine learning algorithms.
Cloud computing-based framework for heart disease classification using quantum machine learning approach
Authors: Enad Huda Ghazi , Mohammed Mazin Abed
Published: April 2024

Accurate early identification and treatment of cardiovascular diseases can prevent heart failure problems and reduce mortality rates. This study aims to use quantum learning to predict heart problems to increase the accuracy of traditional prediction and classification methods. Machine learning (ML) and deep learning (DL) techniques need quantum learning to quickly and accurately analyze massive volumes of complex data. With quantum computing, the suggested DL and ML algorithms can change their predictions on the basis of changes in the dataset. This approach could help with the early and accurate detection of chronic diseases. The Cleveland heart disease dataset is undergoing preliminary processing to validate missing values to increase the precision rate and prevent incorrect forecasts. This study examined the feasibility of employing and deploying a quantum ML (QML) framework via cloud computing to categorize cardiac conditions. The research was divided into four sections. First, the principal component analysis was used to preprocess the Cleveland dataset, recursive feature elimination was used to select features, and min–max normalization was used to give the dataset a high-dimensional value. Second, we compared traditional classifiers, such as support vector machine (SVM) and artificial neural network, with the quantum approach to verify the quantum approach’s efficiency. Third, we examined two unique QML classification methods: quantum neural networks (QNNs) and quantum SVM (QSVM). Fourth, bagging-QSVM was developed and deployed as an ensemble learning model. Experimental results using the QNN show an accuracy of 77%, a precision of 76%, a recall of 73%, and an F1 score of 75%. With an accuracy of 85%, a precision of 79%, a recall of 90%, and an F1-score of 84%, the QSVM method demonstrated a much better performance than the QNN. Particularly, the Bagging_QSVM model exhibited an outstanding performance, with a flawless score of 100% across all critical performance measures. The study shows that the bagging method for ensemble learning is a solid way of increasing the accuracy of quantum method predictions.
Distribución geográfica y características del medio físico natural de los ambientes kársticos de México
Authors: Estrada-Medina Hector , Álvarez-Rivera Oscar Omar
Published: April 2024

Este trabajo analiza la distribución geográfica del carso (o karst) en México considerando su continuidad y algunas de sus características del medio físico (geología, clima, vegetación, relieve y suelos), la conservación y el estado de explotación de sus acuíferos. Se realizó un análisis cartográfico de superposición espacial del mapa mundial de acuíferos kársticos (WOKAM, por su acrónimo en inglés) y los mapas temáticos de México. El 25.52% del territoriomexicano está conformado por rocas parcialmente solubles en agua. Las rocas sedimentarias son las más abundantes en las zonas kársticas de México (92.76%), las sierras y llanuras son las formas predominantes del relieve, y los Leptosols son los suelos más abundantes. De los 278 acuíferos kársticos en México, 248 no están sobreexplotados. El 12.95% de la superficie kárstica de México está bajo alguna categoría de conservación. Se identificaron cinco zonas de karst en México, cada una con características específicas y distintivas.