bluuebunny/crossref_metadata_2025 huggingface dataset:
Risk factors for osteoporosis in elderly patients with type 2 diabetes: A protocol for systematic review and meta-analysis
Authors: Su Wenhao , Jia Hairong , Yang Luo , Zhang Jiaqi , Wei Zhaoyang , Tsikwa Pepertual , Wang Yanru
Published: February 2025

Background

Osteoporosis is a prevalent chronic result of diabetes. Osteoporosis susceptibility is raised by unstable blood glucose levels, oxidative stress, hormonal abnormalities, and other factors. Currently, there is no systematic review addressing the risk factors of osteoporosis in diabetes. This study intends to systematically assess the current risk factors related to diabetic osteoporosis (DOP) and provide suggestions for the improvement of therapy approaches.

Methods and analysis

We will search five English literature databases (PubMed, Embase, Web of Science, CINAHL, and Cochrane Library) and three Chinese databases (CNKI, WanFang, and SinoMed) from the starting point until December 31, 2024. We will perform a systematic examination and meta-analysis of cohort and case-control studies to identify all population-based risk factors for diabetic osteoporosis. Two researchers will independently assess the publication, extract data, and evaluate the quality and potential biases present in the study. We will utilize RevMan V.5.4 software and STATA 16.0 for data analysis. The included studies will be assessed using the Newcastle Ottawa Quality Assessment Instrument (NOS). If the heterogeneity of the included studies is higher than 50%, we will perform subgroup and sensitivity analysis to identify probable sources of heterogeneity. The assessment of publication bias will be conducted using funnel plot. Furthermore, we will employ the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) to assess the quality of evidence for each exposure and outcome.

Discussion

This protocol aims to investigate the risk variables associated with DOP. We will summarize the current knowledge about factors influencing osteoporosis in diabetes. We strive to assist physicians with more extensive references for decision-making and facilitate the implementation of effective prevention strategies for DOP.

Registration

This study has been registered in the PROSPERO (CRD42024602637).
Deformation, fracture characteristics and damage constitutive model of soft coal under true triaxial complex stress paths
Authors: Jiang Chongyang , Wang Lianguo , Guo Jiaxing , Wang Shuai
Published: February 2025

Understanding the mechanical properties and damage deterioration mechanisms of soft coal under true triaxial complex stress paths is crucial for predicting and evaluating the stability of the roof during roadway excavation in thick soft coal seams. This study examines the evolution of deformation strength, fracture characteristics, and acoustic emission patterns of soft coal under various initial stress levels and stress paths using true triaxial loading and unloading tests. The research reveals that soft coal undergoes rapid expansion deformation and ultimately fails along the unloading direction, which varies with different stress paths. The initial stress level and stress path significantly influence deformation and strength, conforming to the Mogi-Coulomb criterion. The fracture modes of the coal under different stress paths can be categorized into compressive-shear failure and compression-shear and tension composite failure. Furthermore, based on the experimental results, a damage constitutive model for soft coal is developed that integrates damage mechanics, Weibull statistical distribution theory, and the Mogi-Coulomb criterion to effectively measure microelement strength under true triaxial complex stress paths. Comparing the theoretical model with the experimental curves demonstrates that the proposed damage constitutive model can effectively reflect the deformation strength characteristics of soft coal under true triaxial complex stress paths. These findings offer a crucial theoretical foundation for enhancing methods to predict and evaluate the stability of roadway roofs in soft coal seams, potentially improving safety and efficiency in mining operations.
In Nigeria, it is all about entertainment: A functional analysis of the 2019 presidential campaign commercials of APC and PDP
Authors: Asogwa Fidelis N. , Okoro Nnanyelugo
Published: February 2025

A functional analysis of 58 political commercials of APC and PDP aired on four purposively selected national television networks in Nigeria (NTA, AIT, TVC and Channels) during the 2019 presidential election campaigns reveals the dominance of positive communication with acclaims (81.24 per cent), while attacks and defences were a mere 16.41 per cent, and (2.36 per cent), respectively, despite the tightness of the race. The data were coded by two experienced coders with no political affiliation using content analysis with an inter-coder agreement score of 0.82 on Cohen’s kappa. Further findings of the study revealed that the two leading candidates were more focused on character (53.84 per cent) than policy issues (46.16 per cent) which corroborates critics’ concerns for the absence of issues during the campaigns. This also validates the development-gap hypothesis of political campaigns in developing democracies. Also, our data revealed the overwhelming entertainment structure of the commercials with music and dance accounting for 87.46 per cent and 70.69 per cent of the total duration of the commercials, respectively. Crowd motif was prominent as a popular building strategy, while images of presidential/vice-presidential candidates were present in 61.40 per cent of the commercials. Our data confirm the overwhelming entertainment and celebratory nature of political campaigns in Nigeria and validate the argument for policy-focused campaigns as Nigeria struggles with socio-economic and development issues that require deep policy thought and approach. It is recommended that political campaigns in Nigeria be structured as serious state matter which requires deep thought on policy issues and how to improve the living standards of the people – and not mere political entertainment designed to attract votes. It is also recommended that political parties differentiate themselves as distinct political alternatives to the electorate, rather than appear indistinguishable from one another.
Las representaciones sobre los indígenas en los libros de texto de Ciencias Sociales en el Perú
Authors: Zárate Pérez Adolfo
Published: February 2025

En el presente artículo se pretende comparar y analizar las representaciones que se construyen sobre los indígenas peruanos en dos libros de texto de Ciencias Sociales, uno del Ministerio de Educación y otro de la editorial Santillana. El análisis se aborda desde la perspectiva de los Estudios Críticos del Discurso. Los resultados demuestran que, a través de diversas estrategias discursivas, los indígenas peruanos son excluidos en diversas acciones sociales; y, cuando son incluidos, se les atribuyen características negativas y se deslegitima su presencia como actores sociales en el desarrollo del país; además, existen mecanismos didáctico-discursivos que promueven la discriminación y el racismo. Concluimos que, si bien la estructura de los libros de texto es distinta, no existen diferencias significativas entre los dos manuales en la forma de abordar a la población indígena.
Discurso y poder. Contribuciones a los estudios críticos del discurso. Editorial Gedisa 2009. Teun A. van Dijk
Authors: Oteiza Teresa
Published: February 2025

Reseña del libro: Discurso y poder. Contribuciones a los estudios críticos del discurso. Editorial Gedisa 2009. Teun A. van Dijk.
Representações no discurso da história: a relação imagem – texto- ideologia
Authors: Sellan Aparecida Regina Borges
Published: February 2025

Analisar os discursos que representam as diferentes práticas sociais tem sido objetivo tanto das ciências linguísticas quanto das ciências sociais. Esse fazer encontra justificativa na necessidade de se compreender como esses discursos articulam premissas e valores que ideologicamente têm acesso aos membros de determinada sociedade e, de alguma forma, moldam seus modos de agir e de compreender a realidade na qual estão imersos. O discurso da História é um discurso institucionalizado e como tal é imposto pelas classes de poder como algo incontestável e, por essa razão, de certo modo, guia comportamentos e ideologias. Assim, este estudo busca analisar o modo como o discurso da História constrói e mantém ideologicamente representações sobre um acontecimento, neste caso, a Revolução Constitucionalista Paulista de 1932, segundo orientação da semiótica social que permite relacionar a expressão lingüística com a expressão imagética. Trata-se de um procedimento que permite verificar a inter-relação de diferentes semioses de modo a configurar com precisão os valores e as marcas ideológicas deixadas na construção dos textos.
Role of Artificial Intelligence and Machine Learning in E-commerce: a Literature Review
Authors: Richard Fedorko , Štefan Kráľ , Lenka Kráľová
Published: February 2025

In an era where digital transformation is accelerating rapidly, artificial intelligence and machine learning have emerged as transformative forces, especially in e-commerce. This paper presents a comprehensive literature review that delves into the fundamentals of e-commerce, artificial intelligence, and machine learning, highlighting their key advantages and practical applications. By examining a broad array of studies, this research evaluates the critical role of artificial intelligence and machine learning in reshaping e-commerce and explores the potential these technologies hold for enhancing customer engagement and driving sales. The paper underscores how e-commerce companies leverage artificial intelligence-driven innovations to influence customer behaviour, enhance personalised marketing, and streamline purchasing pathways. However, the path to successful artificial intelligence integration is not without obstacles. Challenges such as organisational resistance, skills shortages, technical limitations, and awareness gaps are notable barriers. Despite these hurdles, the findings suggest that adopting artificial intelligence and machine learning tools positions e-commerce companies for long-term success, offering significant competitive advantages and fostering sustainable growth in an increasingly digital world.
Making Use of Competitive Advantages of a University Education Innovation Cluster in the Educational Services Market
Authors: Gryshchenko Ivan , Ganushchak-Efimenko Lyudmila , Shcherbak Valeriia , Nifatova Olena , Zos-Kior Mykola , Hnatenko Iryna , Martynova Liliia , Martynov Andrii
Published: February 2025

One of the major trends of the contemporary world market of educational services is the increasing role of knowledge and information in socioeconomic development, when knowledge becomes a key driver of economic prosperity and competitiveness as well as a critical factor in boosting the labour market demand for a new type of skilled workforce which gives rise to a sweeping demand for professional higher education, incrementally demanding requirements to  Universities in terms of meeting social needs, and the globalization of the world economy. Such drastic development dynamics of University environment along with the objective escalation of competition in the area of educational services greatly affect the issues of strategic planning and University competitiveness management in the long run.
Modulatory Efficiency of Vitamin C (Ascorbic Acid) on Collagen-Induced Platelet Aggregation and Dysfunction
Authors: Onwuka Osah Martins , Adigwe Chukwukadibie , Adheke Oghenefego Michael , Elem Chamberlin Jamike , Hart Josiah Soipiriala
Published: February 2025

Platelet aggregation, coagulation, and activation are crucial for hemostasis. Collagen treatment can impair hemostatic processes leading to bleeding disorders like thrombosis; vitamin C may mitigate these effects.  Hence, modulatory efficiency of vitamin C on collagen-induced platelet aggregation and dysfunction was investigated. Thirty (30) Wistar rats (135g-155g) were divided equally into; Group 1 (Control), Group 2 (Collagen-induced), and Group 3 (Collagen + Vitamin C treated). Platelet aggregation, prothrombin time, bleeding time, fibrinogen levels assessed coagulation and platelet function. Thromboxane B2 and P-selectin levels measured platelet and endothelial activation. Platelet count, mean platelet volume (MPV), platelet distribution width (PDW), and plateletcrit (PCT) evaluated platelet production and size variability. Statistical significance was set at p < 0.05. Group 2 exhibited higher platelet aggregation, prolonged prothrombin and bleeding times and elevated fibrinogen, thromboxane B2, and P-selectin levels, along with increased platelet count, MPV, PDW, and PCT, compared to Group 1. Group 3 showed significant reductions in all these parameters compared to Group 2 (p < 0.05). Vitamin C demonstrated significant modulatory effect on collagen-induced platelet aggregation and dysfunction which suggests that vitamin C may have therapeutic potential in mitigating platelet dysfunction and coagulation impairments associated with collagen-induced pathophysiological conditions.
Application of Taguchi Experimental Design in Optimization of Levulinic Acid Production from Cellulose Derived From Millet Stalk
Authors: Ibrahim Shehu , Muhammad Abdullahi Sokoto , Umar Kabiru Jega , Muhammad Ibrahim Magami
Published: February 2025

Cellulose is the primary component of lignocellulosic biomass and the main source of renewable materials in chemical industry. This study aims at optimizing the production of levulinic acid from cellulose derived from millet stalk using Taguchi experimental design approach. The millet stalks were pretreated by acid and alkali treatment method. The extractives, hemicellulose, lignin, and cellulose contents of the millet stalks were estimated using dry-weight basis technique. Levulinic acid production from the millet stalk was carried out in Teflon lined stainless steel autoclave (50cm3) using standard method. The optimum conditions for the production of levulinic acid were evaluated using Taguchi experimental design method. Levulinic acid was characterized using GC-MS and FT-IR techniques. The cellulose content of the millet stalk was significantly (p < 0.05) higher than the other components. FT-IR spectrum showed the presence of O-H, C=O, C-H, and C-O stretch in the levulinic acid. The highest (95%) yield of the levulinic acid was obtained with an acid concentration of 0.2M at 2000C, for 4 hours. The optimum temperature, acid concentration, and time for the production of levulinic acid from the millet stalk were 2000C, 0.2M, and 4 hours, respectively. Levulinic acid is characterized by a range of functional groups.Keywords: Cellulose, Levulinic acid, Millet stalk, Optimization, Taguchi design
THE CAUSES OF RAILWAY ROADBED DEFORMATIONS ON PERMAFROST SOILS
Authors:   Gazpromtrans LLC, Tyumen, Russia, Zhukovsky1 D.V. ,   Tyumen Industrial University, Tyumen, Russia
Published: February 2025

Currently, the problem of forecasting and maintaining the geotechnical condition of railway infrastructure facilities caused by the activity of destructive cryogenic processes in saline alluvial, marine and lagoon-marine sediments is one of the key aspects of improving the reliability and safe operation of railway infrastructure. Continuous monitoring of the railway roadbed state helps to preliminarily assess the technical condition of the roadbed and identify problem areas by external signs. The paper highlights an instrumental survey using thermal chains and ground-penetrating radar equipment which is carried out in local places most susceptible to deformations and exposure to hazardous geological processes. The obtained results of instrumental surveys help to assess changes in geocryological conditions and the state of foundation soils in the study area. The compilation of numerical models of temperature regimes of foundation soils and roadbed based on climatic data is carried out in the Borey 3D software. According to the results, an increase in the temperature regime is observed in the period from 2015 to 2023 not only in the active layer of the object, but also in the zone of zero temperature fluctuations permafrost soils from 0.5 to 1.5 de-grees. During thawing, the foundation soils are compressed under the weight of the railway roadbed, thereby forming flooded low-lying areas along the embankment base. Due to the flooding of the slope parts of the embankment, water saturation of the soils of the roadbed body occurs causing cryogenic processes in the structure and foundation of the road. In most cases, the accumulated water along the slopes of roads is in a thawed and frozen state all year round. Thus, the construction of linear railway embankments on permafrost soils of the West Siberian Plate is an ex-pensive experiment, due to the fact that the feasibility of preserving the foundation soils and adjacent territory in a permafrost state is highly questionable.
INFORMATION OPTIMIZATION OF DESIGN PROCESSES FOR TUBULAR CONCRETE STRUCTURES USING COMBINED ROD AND SOLID MODELS
Authors:   Nizhny Novgorod State University of Architecture and Civil Engineering, Nizhny Novgorod, Russia, Khazov P.A.
Published: February 2025

The article discusses the issues related to the computer calculation of building structures made of composite materials, such as steel-reinforced concrete and tubular concrete. It highlights the complexity of the task which arises from the need to account for the combined operation of materials with different physicochemical compositions when assigning stiffness to the elements of traditional rod finite element models. The main goal of the static calculation of such structures is identified as obtaining the distribution of stresses in the sections of homogeneous elements of the composite structure. The article proposes a calculation methodology which minimizes the performance requirements of computing technology, ensuring effective achievement of the set goal. This is achieved through the combination of rod finite element models and numerical studies of individual elements. The application of the proposed approach is demonstrated by the example of the stress-strain state of a column of a high-rise building. The described approach simplifies the design process and increases its accuracy, preventing the potential depletion of computing resources when working with composite structures.
Harnessing the Digital Economy for Sustainable Energy Efficiency: An Empirical Analysis of China’s Yangtze River Delta
Authors: Liu Fengqin , Kumar Jai , Sun Huaping , Edziah Bless Kofi
Published: February 2025

This study investigates the impact of the digital economy on energy efficiency through a combination of theoretical analysis and empirical testing. The research contributes by categorizing the energy value creation process into two stages: the energy input stage and the energy operation stage and by examining both the direct and indirect effects of the digital economy on energy efficiency. Indirect effects are explored through factors such as industrial structure, green innovation, transaction efficiency, and environmental regulation. Using panel data from 41 cities in the Yangtze River Delta region of China, covering the period from 2006 to 2020, the study empirically examines the effects of the digital economy on energy efficiency. The findings emphasize the significant role of the digital economy in enhancing energy efficiency, particularly through upgrading industrial structures, increasing transaction efficiency, and stimulating green innovation. A heterogeneity analysis reveals that the influence of the digital economy on energy efficiency is less pronounced in resource-based cities than in non-resource-based cities. Based on these findings, the study provides targeted policy recommendations to further leverage the digital economy for improving energy efficiency.
Factors affecting self-care in heart failure patients: a cross-sectional study
Authors: Widaryati Widaryati , Prihatiningsih Dwi , Ramdani Wawan Febri
Published: February 2025

Objectives

Heart failure is a cardiovascular disease with a high incidence in the world and Indonesia as well. This disease must get serious attention because it results in high mortality rates and has a broad and long-term impact on patients with heart failure. The high recurrence rate, rehospitalization, and patients’ poor quality of life are influenced, one of them, by the self-care behavior of patients, considering that heart failure is a progressive and chronic disease. In practice, implementation of self-care behaviors in people living with heart failure is poor. This study analyzes the factors influencing self-care for heart failure patients.

Methods

This is a cross-sectional study that involved 100 heart failure patients taken from August to October 2020. Self-care was measured using the Self-Care of Heart Failure Index (SCHFI) questionnaire. The chi-square statistical test determines the relationship between the factors that influence self-care.

Results

The results showed that there was a significant relationship between education (p 0.00), marital status (p 0.005), occupation (p 0.00), NYHA class (p 0.00), and patient age (p 0.01) with self-care maintenance. There was no relationship between gender (p 0.30), comorbidity (p 0.21), and duration of heart failure (p 0.11).

Conlusions

Education, marital status, occupation, NYHA class, and age significantly influence self-care in heart failure patients, while gender, comorbidity, and disease duration do not. Targeted interventions are needed to improve self-care and reduce rehospitalization.
Performance comparison of water towers and combined pumped hydro and compressed gas system and proposing a novel hybrid system to energy storage with a case study of a 50 MW wind farm
Authors: Hadidi Amin
Published: February 2025

In general, the most important method of energy storage at the power plant scale is the pumped hydro method, which has been developed in two main models to improve its performance, which is pumped hydro combined with compressed gas (PHCCG) and pumped hydro in closed towers (PHWT). In this research, to answer which of these methods is more suitable, in the form of a case study, both systems were designed to store the generated energy in the Aghkand wind farm with a nominal power of 50 (MW), and the performance of both was completely compared with each other. The findings indicated that the efficiency of the PHWT method was higher, but on the other hand, the water requirement of the PHCCG method was much lower than the PHWT method. Also, in an innovative way, the PHWT system was presented with a combination of towers of different classes and the performance of each was investigated. Finally, by combining both PHWT and PHCCG systems, a new hybrid system (HPHWTCG) was proposed. By using this hybrid system, the advantages of both methods can be used at the same time and the disadvantages of each method can be eliminated to a great extent. The efficiency of PHWT and PHCCG is 65 % and 45 % respectively. The efficiency of HPHWTCG is between these two values based on its structure.
CNN based prediction of modulation techniques in Li-Fi
Authors: Pundir Aryan Singh , Kaushik Rahul , Pathak Prashast
Published: February 2025

Visible light communication (VLC) being a key component of light-fidelity (Li-Fi), requires adaptive and efficient modulation techniques to guarantee reliable data transmission under varying channel conditions. This study focuses on the prediction of modulation techniques in VLC systems, namely, on-off keying (OOK), pulse position modulation (PPM): 4-PPM, 8-PPM and 16-PPM, 4 – differential pulse interval modulation (DPIM), orthogonal frequency division multiplexing (OFDM) and generalized space shift keying (GSSK), using machine learning based approach. A convolutional neural network (CNN) is trained on a synthetic dataset which is generated under varying channel conditions and noise levels. The trained model is then used to classify modulation techniques based on signal features extracted from simulated VLC signals. The model is then exported and used to predict modulation techniques in a different dataset. The outcomes demonstrate CNNs’ effectiveness in real time modulation technique prediction. This method presents a viable way to boost Li-Fi communication effectiveness in varying environments.
Future People as Future Victims: An Anti-Natalist Justification of Longtermism
Authors: Lee Rex
Published: February 2025

In this paper, I propose a refined version of Seana Shiffrin’s consent argument for anti-natalism and argue that longtermism is best justified not through the traditional consequentialist approach, but from an anti-natalist perspective. I first reformulate Shiffrin’s consent argument, which claims that having children is pro tanto morally problematic because the unconsented harm the child will suffer could not be justified by the benefits they will enjoy, by including what I call the trivializing requirement to better accommodate various criticisms. Based on this iteration of anti-natalism, I argue that future generations should not be seen as far away strangers who are merely anonymous bearers of well-being, but rather as collective victims of the wrongful acts of procreation. As a result, anti-natalism provides us with a rational ground to put a key moral priority on improving the future, not only as restitution to future generations for the unconsented harm imposed on them, but also as part of a long-term effort to nullify the anti-natalist criticism, since the consent argument would no longer apply if our society eventually becomes so utopian that the positive aspects of the average person’s life vastly outweigh its negative aspects.
Ill, vulnerable and kind: a corpus-based study of the discourse representation of older adults on Weibo
Authors: Zhang Shuling , Bao Kai
Published: February 2025

This article offers an in-depth analysis of the evolving representations of older adults on Weibo, a leading Chinese social media platform, using a self-compiled corpus of nearly 7 million tokens from posts spanning January 1, 2019 to December 31, 2022. We utilize a corpus analysis tool to identify four-grams and perform concordance analysis to determine thematic categories and track their frequency changes over time. The findings reveal significant shifts in the portrayal of older adults, highlighting not only deteriorations in health but also perceived declines in cognitive abilities, moral standing, and societal roles. This evolved depiction paints older adults as increasingly isolated, outdated, and vulnerable, suggesting a nuanced form of marginalization compared to pre-pandemic portrayals. This study contributes to the existing literature by delineating the complex dynamics of older adult representation on Chinese social media against the backdrop of a rapidly aging population.
TÜRKİYE’DE ÜRETİM YÖNETİMİ EĞİTİMİNDE SÜRDÜRÜLEBİLİR ÜRETİMİN İŞLENME DÜZEYİNİN BELİRLENMESİNE YÖNELİK BİR ARAŞTIRMA
Authors: Akdağ Recep
Published: February 2025

Gelecek nesillerin ihtiyaçlarını karşılayabildikleri yaşanabilir bir dünyanın devamı için sürdürülebilirliğin önemi her geçen gün artmaktadır. Dünya nüfusunun giderek arttığı, doğal kaynakların azaldığı ve atıkların doğal dengeyi bozduğu bir durumda sürdürülebilir üretim ve tüketimin önemi artmaya devam etmektedir. Bu konudaki bilincin oluşabilmesi temel eğitimden başlanarak yükseköğretim programlarında bu konunun ele alınmasıyla mümkündür. Bu kapsamda bu çalışmanın amacı, Türkiye’deki üniversitelerin işletme programlarındaki üretim yönetimi dersinde sürdürülebilir üretimin ne düzeyde ve hangi boyutlarda el alındığının belirlenmesidir. Bu amaçla, devlet ve vakıf üniversitelerinde üretim yönetimi dersini veren öğretim elemanlarından anket yöntemi ile veri toplanmıştır. Literatürden derlenen anket, öğretim elemanlarına e-posta ile gönderilmiştir. Anketi yanıtlayan öğretim elemanları araştırmanın örneklemini oluşturmuş, anketlere verilen yanıtlar SPSS paket programıyla analiz edilmiştir. Analiz soncunda elde edilen bulgulara göre, üretim yönetimi dersini veren öğretim elemanlarının yarıdan fazlasının (%60.5) ders kaynaklarında “sürdürülebilir üretim” ayrı bir konu/ünite olarak yer almamakta ve %59.3’ü tarafından ayrı bir konu/ünite olarak anlatılmamaktadır. Ayrıca işletme programlarının bulunduğu fakülte ve üniversitelerdeki sürdürülebilirlik uygulamalarının yeterli düzeyde olmadığı sonucuna varılmıştır.
Emotional Dysregulation and Sexual Risk Behavior in Individuals With Borderline Personality Disorder: Interactions With Psychological Pain, Impulsivity, Anxiety, and Depression
Authors: Wyrzykowski Jan , Kostecka Barbara , Santangelo Philip , Kucharska Katarzyna
Published: February 2025

The aim of this study was to assess emotional dysregulation (ED) and sexual risk behavior (SRB) in borderline personality disorder (BPD) and to investigate the relationship between ED, SRB and other clinical variables. Sixty-one women with BPD and 76 healthy controls (HCs) completed: SRB Scale, DERS, Inventory of Statements About Self-Injury, SUPPS-P, HADS, Mental Pain Scale, and BPD Checklist. The BPD group exhibited higher levels of ED, SRB, psychological pain, anxiety, depression, and impulsivity than the HCs. In the BPD group, significant correlations were found between ED, SRB, and psychological pain, impulsivity, and specific dimensions of nonsuicidal self-injury (NSSI). To identify predictors of SRB, stepwise multiple regression analysis was used. The BPD model included five significant predictors accounting for 65% variability: number of sexual partners and age of sexual initiation, NSSI, impulsivity, and ED - lack of emotional clarity, while in HCs, it was influenced by alcohol misuse.
Multiobjective Optimization of Three-Pass Perforated Muffler Design for Improved Acoustic Performance and Reduced Fluid Pressure Drop Using Genetic Algorithms
Authors: Suprayitno  , Pratama Muhammad Yandi
Published: February 2025

Noise pollution is a serious problem as the vehicle population increases every year. The vehicle exhaust system is a major contributor to noise pollution, while mufflers play a vital role in reducing it. Among various designs, a three-pass perforated is a muffler design that is often used to reduce noise in the vehicle exhaust system. However, a good muffler design should also consider minimizing the pressure drop, where these two requirements conflict. To solve this problem, a multiobjective optimization approach was applied using a non-dominated sorting genetic algorithm (NSGA-II) to find the optimal muffler design solution. Analysis of Variance (ANOVA) was also presented in this study as a statistical tool to determine the muffler design parameters that have a significant effect. To predict the acoustic transmission loss (TL) and fluid pressure drop (PD) inside the muffler, the three-pass perforated was simulated and experimentally verified. The results present two optimal muffler designs that were selected and discussed. The best designs are TL and experiment no.26. The best design TL, produced a muffler with a noise reduction capability (TL) better than the initial design by 9 dBA or 48%, with a PD improvement of 87.3 Pa or 2%. Experimental design no. 26 offers mufflers with noise reduction capability (TL) better than the initial design by 3.2 dBA or 18%, with an improvement in PD of 19.9 Pa or 0.5%. These results offer an alternative muffler design solution that has better noise reduction capability with a small increase in PD. ANOVA results with a significance level of 0.05 show that the design hole diameter parameter has a significant influence on TL performance, as evidenced by a p-value smaller than 0.05. Meanwhile, the ANOVA results for PD performance concluded that none of the design parameters or their interactions had a significant influence on PD performance. Only the design parameter center width and its squared interaction are assumed to have a significant influence, considering the p-value is close to 0.05
ANÁLISIS ESPACIO-TEMPORAL DE INDICADORES DE TEMPERATURA SUPERFICIAL COMO FORMA DE EVALUAR ÁREAS CON PRESERVACIÓN FORESTAL
Authors: Pereira dos Santos Arthur , Henrique Simionatto Henzo , Lizcano Toledo Mayra Vanessa , Moreira Nery Liliane , Collins da Cunha e Silva Darllan
Published: February 2025

This article aims to analyze the variation of the Soil Surface Temperature (LST) and the Thermal Dryness Index (TVDI) in the hydrographic sub-basin that supplies the municipality of Paracatu, Brazil, and the Paracatu State Park, located in the interior of the basin and created to preserve the cerrado biome, restrict agricultural activities and guarantee water resources for local public supply. Images from the Landsat 5 and 8 satellites were used, whose results indicate that changes in land use are contributing to the water stress of the vegetation present there, and the spatial behavior of LST and TVDI indicates that the creation of the Park was an efficient practice in the preservation of the biome, concluding that they are timely indicators for the monitoring and management of public agencies to monitor human activities.
TERRITORIO DE LA PARROQUIA CATÓLICA DE NUESTRA SEÑORA DE LOS DESAMPARADOS, ARQUIDIÓCESIS DE TOLUCA, MÉXICO
Authors: Garduño Rayón Yabel David , Olmos Cruz Agustín
Published: February 2025

Catholic parish as a community of the faithful has always been inherently territorial. A delimited territory of a parish is established by the ecclesial authorities and has had distinct functions throughout history. A current process of disengagement of the religious life of the parish community with its territorial delimitation forces to reanalyze their relationships, in cities where mobilization and digital culture originate new territorial processes. The objective of this study was to identify the territory of the parish of Our Lady of the Forsaken, according to its definition, and to clarify it with respect to the territorial delimitation assigned to it. We conducted experiential fieldwork with the parish faithful and the sacred spaces that they appropriated through their religious practices were mapped. The findings contribute to the understanding of the appropriation of Catholic groups in different hierarchies of ecclesial groups and the spatio-temporal dynamicity of their territories.
VALORACIÓN DEL PAISAJE PARA EL DESARROLLO SOSTENIBLE DEL TURISMO EN LA COMUNIDAD DE SAN FRANCISCO, ECUADOR
Authors: Rosete Blandariz Sonia , González González Humberto Antonio , Reina Perez Genessis Isabel , Sáenz Véliz Romina Stephania
Published: February 2025

The community of San Francisco, located in the province of Manabí, Ecuador, faces the challenge of developing tourism sustainably in a natural environment. This research aims to conduct a descriptive assessment of its landscape value, in order to support landscape preservation and guide tourism activity planning in the region. The methodology involved data collection through online surveys, field evaluations, and collaboration with the local community. Findings revealed the delineation of five landscape units based on land use: natural forest, anthropized natural forest, agriculture, cultivated pasture, and the San Francisco community. The high visual quality and moderate landscape fragility demonstrate the great potential for tourism under careful planning and management. It is crucial to promote tourism activities focused on appreciating nature and scenic beauty, such as hiking, cycling, camping, and agrotourism, to foster a balance between environmental conservation and sustainable development. Additionally, integrating local products into the culinary offerings aimed at tourists serves as a means to support and bolster the local economy.
INEQUIDAD SOCIO-ESPACIAL EN EL ACCESO AL AGUA POTABLE EN LÁZARO CÁRDENAS, MICHOACÁN
Authors: Valdovinos Ortega Joyce
Published: February 2025

This article analyzes drinking water coverages in the six largest urban localities of Lázaro Cárdenas, Michoacán, Mexico, and identifies the factors that have contributed to aggravating inequity on the ground. Drawing on field visits, interviews, and surveys, this article finds that: (1) the greatest insufficiencies are concentrated in the peripheral areas, where the most recent urban development has taken place; (2) Buenos Aires and Playa Azul stand out due to the high number of households that are not connected to the public water system as well as Las Guacamayas due to the presence of irregular human settlements and its high vulnerability to natural disasters; (3) the absence of urban planning, a systemic vision for water management, and metropolitan governance structures, are the main factors that have contributed to creating and perpetuating socio-spatial inequity; however, they may also represent opportunities for possible solutions.
Paralogism in the interpretation of thrombogram obtained with the thrombin generation assay of human blood plasma
Authors:   Palladin Institute of Biochemistry, National Academy of Sciences of Ukraine, Kyiv,, Makogonenko Ye. M. , Chernyshenko V. O. ,   Palladin Institute of Biochemistry, National Academy of Sciences of Ukraine, Kyiv,, Bardyk V. Yu. ,   Taras Shevchenko National University of Kyiv, Ukraine;, Udovenko А. V. ,   Palladin Institute of Biochemistry, National Academy of Sciences of Ukraine, Kyiv,, Komisarenko S. V. ,   Palladin Institute of Biochemistry, National Academy of Sciences of Ukraine, Kyiv,
Published: February 2025

Recording thrombin activation in blood under the action of coagulation initiators provides important early information about the state of the hemostasis system. Thrombin generation analysis (TGA) developed to determine the endogenous clotting potential and anticoagulant activity of blood plasma is extremely important diagnostic and prognostic method. However, the main problem of the TGA method is that in the descending­ part of the thrombogram, an error appears in the conversion of thrombin activity to its concentration. By studying the temporal relationship between thrombin and plasmin activity, and clot structure during its formation and dissolution in human blood plasma we propose another option for calculating the parame­ters of the thrombogram obtained by the TGA method.

Keywords: thrombin concentration, thrombin generation assay, thrombogram parameters calculation
The impact of soybean mosaic virus infection on biochemical composition of soybean seed
Authors:   Plant Breeding and Genetics Institute – National Center of Seed and Cultivar Investigation, Laboratory of Plant Biochemistry, Odesa, Ukraine, Molodchenkova O. О. , Dashchenko A. V. ,   Plant Breeding and Genetics Institute – National Center of Seed and Cultivar Investigation, Laboratory of Plant Biochemistry, Odesa, Ukraine;, Mishchenko I. A. ,   Plant Breeding and Genetics Institute – National Center of Seed and Cultivar Investigation, Laboratory of Plant Biochemistry, Odesa, Ukraine;, Dunich A. A. ,   Plant Breeding and Genetics Institute – National Center of Seed and Cultivar Investigation, Laboratory of Plant Biochemistry, Odesa, Ukraine;, Motsniy I. I. ,   Plant Breeding and Genetics Institute – National Center of Seed and Cultivar Investigation, Laboratory of Plant Biochemistry, Odesa, Ukraine;, Tykhonov P. S. ,   Plant Breeding and Genetics Institute – National Center of Seed and Cultivar Investigation, Laboratory of Plant Biochemistry, Odesa, Ukraine;, Mishchenko L. T. ,   Plant Breeding and Genetics Institute – National Center of Seed and Cultivar Investigation, Laboratory of Plant Biochemistry, Odesa, Ukraine;
Published: February 2025

It is known that infection caused by soybean mosaic virus (SMV) has a negative effect on soybean yield, productivity and seed quality. The main indicators of the nutritional value of soybean seed are the content of main storage proteins glycinin and β-conglycinin, as well as flavonoids, carbohydrates and fat. The goal of the research was to study the impact of SMV infection on the biochemical composition of the seeds of the soybean varieties created by classical breeding methods (‘Kano’, ‘Kuban’, ‘Kordoba’) and varieties of transgenic soybean (‘Grimo’ and ‘Monro’). DAS-ELISA and two step RT-PCR were used to identify SMV. Protein electrophoresis was carried out in 15% polyacrylamide gel containing 0.1% SDS at pH 8.3 according to the Laemmli method. We detected an increase in the activity of trypsin inhibitor and lectins and a decrease flavonoids content in the infected seeds of studied varieties in comparison with the healthy seeds. Seeds of all infected varieties showed a decrease in glycinin content and glycinin/β-conglycinin ratio, with the exception of ‘Monroe’ infected seeds in which both glycinin and β-conglycinin contents were increased or at the level of healthy seeds. We can distinguish the variety ‘Kano’ with a high content of flavonoids, varieties ‘Kuban’ and ‘Grimo’ with increased or maintained levels of healthy seed content of carbohydrates, fat and proteins under infection conditions. The differences in the relative content of the components of β-conglycinin and glycinin subunits in infected seeds depending on the soybean variety were revealed. The obtained results can be used for the selection of soybean varieties resistant to viral infection and with high seed quality.

Keywords: flavonoids, glycinin, seed quality, soybean mosaic virus, β-conglycinin
A new approach to drug development – the success story of Gertrude Elion, a Nobel laureate
Authors:   Palladin Institute of Biochemistry, National Academy of Sciences of Ukraine, Kyiv, Grigorieva M. V.
Published: February 2025

Gertrude Elion is one of the most prominent figures in the world of science of the 20th century. In 1988, her achievements in the field of pharmacology were recognized at the highest level – she won the Nobel Prize in Physiology or Medicine. Together with George Hitchings and Sir James Black, she received this award “for their discoveries of important principles for drug treatment”, the principles that led to the development of new drugs. Her methods featured an unconventional approach: she sought to create drugs that selectively affected disease-causing cells, thus minimizing side effects. Her research paved the way for what we call today the targeted therapy concept. Elion’s whole life is a success story of a scientist who achieved brilliant results thanks to her tireless work and dedication to science. This article reviews the life and discoveries of Gertrude Elion and explains why her work is still relevant for present-day medicine.

Keywords: 6-mercaptopurine, acyclovir, azathioprine, Gertrude Elion, Nobel Prize, rational drug design
Perceived coworkers' work addiction: Scale development and associations with one's own workaholism, job stress, and job satisfaction in 85 cultures
Authors: Atroszko Paweł A. , Kun Bernadette , Buźniak Aleksandra , Czerwiński Stanisław K. , Schneider Zuzanna , Woropay-Hordziejewicz Natalia , Bakker Arnold B. , Balducci Cristian , Demetrovics Zsolt , Griffiths Mark D. , Innstrand Siw Tone , Morkevičiūtė Modesta , Pallesen Ståle , Pontes Halley M. , Sussman Steve , Charzyńska Edyta
Published: February 2025

Background

While the empirical data on the role of environmental factors in work addiction (WA) is steadily growing, little is known about the extent to which the workaholic environment contributes to the increased risk of WA and what are the relative contributions of direct supervisor's and colleagues' WA to one's own workaholism.

Methods

The Perceived Coworkers' Work Addiction Scale (PCWAS) assessing perceived direct supervisor's and colleagues' WA, defined as an addictive disorder, was administered alongside measures of WA, job stress, and job satisfaction in a total sample of 33,222 employees from 85 cultures across six continents (63.2% females, mean age 39.35 years).

Results

The PCWAS showed scalar measurement invariance between genders and job positions, and approximate measurement invariance across cultures. In most cultures, the perceived supervisor's and colleagues' WA correlated with one's own WA, job stress (positively), and job satisfaction (negatively). In structural equation models, perceived colleagues' rather than supervisor's WA was more strongly related to one's own WA and job stress in most cultures.

Discussion and conclusions

These findings suggest that the PCWAS is valid and reliable for assessing the workaholic environment, and it can be used globally to provide comparable and generalizable results. The present study is the first to show that WA may considerably depend on environmental factors in different cultures worldwide and that perceived colleagues' WA may play a particularly important role in this context. These findings may guide organizational interventions to decrease WA risks among employees and improve their well-being and productivity.
Insights into the temporal dynamics of identifying problem gambling on an online casino: A machine learning study on routinely collected individual account data
Authors: Andersson Sam , Carlbring Per , Lyon Keenan , Bermell Måns , Lindner Philip
Published: February 2025

Background and Aims

The digitalization of gambling provides unprecedented opportunities for early identification of problem gambling, a well-recognized public health issue. This study aimed to advance current practices by employing advanced machine learning techniques to predict problem gambling behaviors and assess the temporal stability of these predictions.

Methods

We analyzed player account data from a major Swedish online gambling provider, covering a 4.5-year period. Feature engineering was applied to capture gambling behavior dynamics. We trained machine learning models, XGBoost, to classify players into low-risk and higher-risk categories. Temporal stability was evaluated by progressively truncating the training dataset at various time points (30, 60, and 90 days) and assessing model performance across truncations.

Results

The models demonstrated considerable predictive accuracy and temporal stability. Key features such as loss-chasing behavior and net balance trend consistently contributed to accurate predictions across all truncation periods. The model's performance evaluated on a separate holdout set, measured by metrics like F1 score and ROC AUC, remained robust, with no significant decline observed even with reduced data, supporting the feasibility of early and reliable detection.

Discussion and Conclusions

These findings indicate that machine learning can reliably predict problem gambling behaviors over time, offering a scalable alternative to traditional methods. Temporal stability highlights their potential for real-time application in gambling operators' Duty of Care. Consequently, advanced techniques could strengthen early identification and intervention strategies, potentially improving public health outcomes by preventing the escalation of harmful behaviors.