bluuebunny/crossref_metadata_2025 huggingface dataset:
Bibliometric Analysis of Factors Affecting Employee Performance with Motivation
Authors: Herawati Febriana
Published: September 2024

Organizational performance can be maximized if the organization is able to utilize its human resources efficiently and effectively and use the right strategy to achieve predetermined goals. This consider points to supply a comprehensive bibliometric examination of components that impact worker execution, with a specific center on inspiration as an interceding variable. This inquire about contributes to the existing writing by systematically mapping patterns within the field, highlighting crevices, and proposing roads for future investigate. Understanding the complex transaction between inspiration and execution is significant for creating more successful human asset methodologies that progress organizational results.
The investigate was conducted on May 30, 2024 looking the google researcher database with catchphrases connected employee_performance_AND_motivation within the areas of commerce, administration and bookkeeping with distribution title diary and greatest numbers of comes about are 500 diaries as a test. Metadata recovery utilizing the Publish or Perish (POP) adaptation 7.31 application. The PoP comes about were at that point analyzed unmistakably based on the year of distribution, watchwords, distributer title, source and researcher productivity. In arrange to induce an precise outline of investigate improvement, PoP information is sent out to Exel CSV and Result as RIS record groups. CSV information is made into a turn table and RIS information is analyzed utilizing the VosViewer (VV) application.
The comes about appeared that the most elevated number of distributed articles happened in 2023 with 109 distributions. The publisher with the most cites perauthor based on publisher is Academia.edu with 1290 cites perauthor. The most sources are owned by Business Management and Strategy with 758 sources. Some of the keywords with the top total link strength are employee performance, motivation, impact and relationship. The authors who connected to each other in this study totaled 9 people. Some of the keywords recommended for further research related to employee performance and motivation include: compensation, work life balance and work environment.
AI-Driven Waste Management Solutions in the Mining Industry: Reducing Environmental Impact
Authors: Rakotoarisoa Solofo Roger
Published: September 2024

Soil, water, and air pollution are mainly resulted from the waste of mining industry. This ecological pollution resulted from mining activities must be managed and reduced effectively. With the emergence of AI, AI has the ability to help in driving an innovative and technological waste management model. The capacity of AI in predicting, modelling and automating waste management process will be studied through the use of the theory and approach based on Machine learning’s methodologies and algorithms. A comparative analysis between traditional methods and AI integrated methods of waste management will be conducted to evaluate the effectiveness of AI in driving waste management. Thus, this will require a specific case of mining activity to be studied. The data collection and data analysis consist of conducting a literature review and documents analysis, which includes a qualitative and quantitative analysis. All in all, the study will assess the effectiveness, operationality, efficiency and economic viability of AI-driven methods, in reducing pollution from mining activities. The results will emphasize the significant enhancement brought by AI-driven waste management. The prediction made by AI in the waste production will be demonstrated as accurate and optimizing waste discharge methods. This improvement is crucial in the reduction of environmental impact of mining activities. Seen as efficient, sustainable and cos-effective operations, the AI-driven waste management will transform and improve the environmental protection in the mining industry. The research offers innovative recommendations to stakeholders such as mining companies, policymakers and researchers.
METABOLIC SYNDROME: IN VITROANTIOXIDANT, ANTICANCER, ANTI-INFLAMMATORY AND ANTIMICROBIAL ACTIVITIES OF DISSOTIS ROTUNDIFOLIA(SM.) WITH PHYTOCHEMICAL AND NUTRITIONAL COMPONENTS
Authors: GBADAMOSI Idayat   Titilayo , BADEJO Joseph   Ayotunde , AJIBADE Temitayo   Olabisi , AGBATUTU Akpevwoghene , ABIARA Ezekiel   Ayodeji , AKINKOYE Akinlolu   Tobi , YEYE Emmanuel   Oloruntoba , FAMUYIDE Ibukun  Michea , MCGAW Lyndy  Joy , NKADIMENG Sanah  Malomile , OYAGBEMI Ademola Adetokunbo , OMOBOWALE Temidayo  Olutayo , ADEYI Akindele  Oluwatosin , ODEKU Oluwatoyin  Adepeju , AKERE Aishat Mojisola , IBRAHIM Jemilat Aliyu , MUFTAUDEEN Taoheed Kolawole
Published: September 2024

Background:Dissotis rotundifolia(Sm.) Triana isa prostrate herb of the family Melastomataceae. It is used for the treatment of obesity, hypertension, circulatory problems and metabolic syndrome (MS). This study evaluated the antioxidant, anticancer, anti-inflammatory.and antimicrobial activities of the whole plant of D. rotundifoliato validateits therapeutic potential in the management and treatment of MS. Materials and Methods: The plant was screened for proximate, mineral, vitamin and phytochemical components, as well as antioxidant activities using standard laboratory techniques. The anticancer activities of the ethanol plant extract were against kidney (VERO) and breast (MCF-7) cancer cells. The anti-inflammatory activity of the extract was determined using nitric oxide production inhibition assay and the antimicrobial activity was evaluated against five pathogenic organisms. All data were subjected to statistical analysis. Results: The plant was rich in carbohydrate (47.87%), protein (22.5%), crude fibre (9.57%), Na (206.67 mg/100 g), Ca (183.33mg/100 g), vitamin C (25.53 mg/100 g), flavonoids (685.00 mg/100 g), alkaloids (616.67 mg/100 g) and saponins (471.67 mg/100 g) contents. Theextract exhibited considerableand variedantioxidant activities.The plant extract was very active against VERO and MCF-7 cellsatlow concentrations(0.145 mg/ml and 0.141 mg/ml respectively) compared to doxorubicin. It also exhibited significant anti-inflammatory action against lipopolysaccharide (LPS)-stimulated RAW macrophage. The extract was active against all test organisms. Overall, D. rotundifolia displayed significant antioxidant, anticancer, anti-inflammatory and antimicrobial activities. Conclusion: The observed bioactivities of the plant could be attributed to its phytocontents and are indications of itspotential as an agent for the managementand treatment ofmetabolic syndrome.
TOXICITY PROFILING REVEALED BENEFICIAL EFFECTS OF THE ETHANOL STEM BARK EXTRACT OF ADANSONIA DIGITATA(MALVACEAE) AT LOW DOSE
Authors: OLUSOLA Ayobami John , DANIYAN Michael Oluwatoyi , OLANIRAN Samuel Folarin
Published: September 2024

Background: The increasing patronage of Adansonia digitatafor medicinaland cosmeticsvalues makes it a potential source of indiscriminate uses. This studyaimsat establishing the toxicity potential of the ethanol stem bark extract with a view to providing scientific evidence for the safe use of the plant. Materials and Methods: The stem bark of Adansonia digitatawas identified, collected, dry, milled to powder, extracted in absolute ethanol, filtered and concentrated in vacuowith rotary evaporator at 45oC. The oral median lethal dose (LD50)was determined using Lorke‘s method. Male and female rats (100 –140 g) were used in this study. Toxicity effects on haematological and plasma biochemical indices, as well as histopathological effect in the selected organs was done usingsingle (1000, 3000 and 5000 mg/kg) and repeated dose (250, 500 and 1000 mg/kg) toxicity profiling, and in silicotoxicity profiling of its selected phytoconstituents. Results: The oral LD50was greater than 5000 mg/kg, suggesting non-toxic potential. Our results show varying degree of significant alterations in heamatological, biochemical and histopathological indices following single and repeated doses. These alterations were dose and sex dependent,more pronounced at doses ≥ 1000 mg/kgand correlated well with in silicotoxicity profiling. Though some of the phytoconsituents were predicted to show some elements of toxic potentials,ourin silicotoxicity profiling revealed that none has potential formutagenicity, genotoxicity, nor inhibit major P450 cytochromeenzymes.Conclusion: The study concluded that the extract may be more beneficial at lower repeated doses than high doses with toxic potential
Integration of Religious Character in School Culture: An Investigation of Character Development Practices in Islamic Elementary School
Authors: Cahyanto Bagus , Indana Fina Mafasa , Fiveronica Ilma , Salamah Evi Rizki , Garbacz Nicholas Alexander
Published: September 2024

Strengthening religious character in schools is an effort to equip students with a solid moral and ethical awareness of religious values. School culture is vital in developing students' religious character through various constructive methods, approaches, programs, and activities. This research aims to explore the practice of strengthening religious character at MI Roudlotun Nasyi'in Singosari Malang, which focuses on (a) the role of teachers in strengthening students' religious character at school, (b) school culture in strengthening students' religious character, and (c) the challenges faced schools in strengthening religious character. The research found that teachers are school role models, designing valuable learning inspiring, and motivating students. Apart from that, it was found that school culture, which plays a role in strengthening religious character, includes the habit of performing dhuha prayers, reading the Asmaul Husna before learning, midday prayers in congregation, commemorating Islamic holidays, and reading and writing the Qur'an every day. The findings also show that the challenges schools face in strengthening religious character include student discipline in participating in school activities, student consistency in carrying out good habits, and control over the continuity of good practices at home. This research is helpful for educational institutions, practitioners, and anyone who pays attention to education as a reference in developing a positive culture in schools and material for reflection in determining strategic programs for developing student character in schools.
Fostering Environmental Awareness Through Humanistic Education For Elementary School Students at Alam Tangerang
Authors: Shobirin Ma'as , Muttaqin Muhammad Fauzan , Sarwi Sarwi , Wardani Sri , Doyin Mukh
Published: September 2024

This study focuses on promoting environmentally responsible behavior through humanistic education among fourth-grade students at SD Alam Tangerang. The research aims to analyze the effects of humanistic education on students' environmentally responsible behavior in their daily lives. A descriptive qualitative method was used, with data collection techniques including observations, semi-structured interviews, and documentation. Data validation was carried out using source triangulation through interviews with the school principal, fourth-grade teachers, and three fourth-grade students, as well as technique triangulation, which included observation, interviews, and document analysis. The data analysis followed Miles and Huberman's interactive approach, which involved data collection, data reduction, data presentation, and conclusion drawing. The study's findings suggest that humanistic education should be implemented in elementary schools with a holistic and comprehensive approach. This education was essential for developing students' moral values, ethics, empathy, and environmental responsibility from an early age. Humanistic education places students at the center of the learning process, enabling them to develop critical thinking, creativity, and reflective skills. In practice, this approach should be integrated into the elementary schoolcurriculum through intramural activities, such as teaching mathematics, the Indonesian language, and other subjects related to environmental issues, as well as extracurricular activities like tree planting and environmental campaigns.
A Systematic Review: Use of GeoGebra in Mathematics Learning at Junior High School in Indonesia and Japan
Authors: Siswanto Deny Hadi , Tanikawa Kanako , Alghiffari Eka Kevin , Limori Masako , Aprilia Dede Dwi
Published: September 2024

The aim of this research is to analyze the implementation of GeoGebra in mathematics learning at junior high school in Indonesia and Japan. This research examines systematic literature reviews using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method with articles indexed by  Web of Science (WoS) and Scopus from 2010 to 2024. The research findings show that; (1) most publicized use of Geogebra begins in 2022; (2) the topic most frequently used in research related to the application of GeoGebra in Indonesia and Japan is geometric transformation; (3) the highest percentage of student perspective analysis results in Indonesia is 25% with the experience, reflect and explain aspects, each of which consists of 6 topics (triangular properties, geometric transformation, matrix operations, cylinders, perform set operations and different parts of a circles); (4) the highest percentage of student perspective analysis results in Japan is 38% with the experience aspect consisting of 6 topics (square roots, quadratic function, triangle similarity condition, inverse of inscribed angle theorem, quadratic equation and Pythagorean theorem). It is hoped that this research can provide input for using GeoGebra in mathematics learning in these two countries, because GeoGebra not only helps students understand mathematical concepts better, but also facilitates more interesting and interactive learning.

 

Tujuan dari penelitian ini untuk menganalisis implementasi penggunaan GeoGebra pada pembelajaran matematika SMP di Indonesia dan Jepang. Penelitian ini mengkaji tinjauan literatur sistematik menggunakan metode Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) dengan artikel yang terindeks WoS dan Scopus dari rentang tahun 2010 hingga 2024. Temuan penelitian menunjukkan bahwa; (1) penggunaan Geogebra paling banyak dipublikasikan dimulai pada tahun 2022; (2)  topik yang paling sering digunakan dalam penelitian terkait penerapan GeoGebra di Indonesia dan Jepang yaitu transformasi geometri; (3) persentase tertinggi hasil analisis perspektif siswa di Indonesia yaitu 25% dengan aspek experience, reflect, dan explain yang masing-masingnya terdiri dari 6 topik (triangular properties, geometric transformation, matrix operation, cylinder, perform set operations dan different parts of a circle); (4) persentase tertinggi hasil analisis perspektif siswa di Jepang yaitu 38% dengan aspek experience yang terdiri dari 6 topik (square roots, quadratic function, triangle similarity condition, inverse of inscribed angle theorem, quadratic equation dan theorem pythagoras). Penelitian ini diharapkan dapat memberikan masukan untuk menggunakan GeoGebra pada pemebelajaran matematika di kedua negara tersebut, karena GeoGebra bukan hanya membantu siswa dalam memahami konsep matematika secara lebih baik, tetapi juga memfasilitasi pembelajaran yang lebih menarik dan interaktif.
How to ensure the priority of preventive measures in the system of state control of quality and safety of medical activities: proposals.
Authors:   Expert on the issues of regulatory and legal regulation of health care activities, Piven D. V. , Kitsul I. S. ,   Irkutsk State Medical Academy of Postgraduate Education – the branch of the Russian Medical Academy of Continuing Professional Education of the Ministry of Health of the Russian Federation, Ivanov I. V. ,   Federal State Budget Institution «Russian Scientific and Research Institute for Medical Engineering» of Federal Service for Supervision in the sphere of public health
Published: September 2024

In the article, based on the analysis of legislation, the authors formulated a number of proposals, the implementation of which will ensure the priority of preventive measures in the system of state control of the quality and safety of medical activities. It is noted that the priority of a preventive visit, as one of the most important preventive measures, in relation to control (supervision) measures, provided for by the Law on State Control No. 248-FZ, is primarily determined by the quality of the content of the preventive visit. The content of the preventive visit should allow the inspector of the supervisory authority in the field of health protection to identify during the preventive conversation the level of awareness of the controlled person about the mandatory requirements that this person is obliged to comply with. The step-by-step algorithm for carrying out a preventive visit in terms of monitoring the safety of medical devices presented in the article allows the inspector of the supervisory authority in the field of health protection to promptly and reliably obtain information about the level of awareness or lack of awareness of the supervised person about the established mandatory requirements for the activities carried out, and accordingly about their compliance or non-compliance by the supervised person.
TRANSIENT ELECTROMAGNETIC MONITORING OF THE CRYOLITHOZONE: MATHEMATICAL MODELING
Authors: Epov M.I. , Glinskikh V.N. , Nechaev O.V. , Danilovskiy K.N. , Mikhaylov I.V.
Published: September 2024

––The paper presents theoretical results on mathematical modeling and numerical inversion of transient electromagnetic data for the monitoring of the state of the cryolithozone. Solutions to the direct and inverse problems are considered based on the vector finite element method, the Sumudu integral transform and the apparatus of artificial neural networks. We show the capability of spatial localization of thaw zones (taliks) with transient cross-borehole exploration systems in a geoelectric model that takes into account the dispersive properties of frozen rocks. The performance and accuracy of the developed algorithms are assessed.
Transformation of Human Existential Space in the Context of a Civilizational Challenge
Authors:   Moscow Aviation Institute (National Research University), Motorina Lyubov , Sytnik Veronica ,   HSE University
Published: September 2024

The problematic nature of man in our time is gradually moving from the theoret­ical sphere into specific life situations of people, where there are heated dis­cussions about what is “human” in a person and what is “dehumanization”. The question of the boundary between humanity and dehumanization not only requires clarification and a theoretical answer, but is experienced by people as an existential challenge aimed at preserving human existence as an entity that “understands being”, “knows how” to be in the world and “is determined in its being by existence” (M. Heidegger). Hence, the philosophical understanding of all types of humanism that determine the actions of people in different periods of human history, as well as the modern self-affirmation by man (homo) of his humanity (humanitas) is not only relevant, but also practically significant for contemporaries in choosing their own behavior and strategies for the further de­velopment of human civilization. The purpose of the article is to consider the exi­stential space, existential experience, and existential project as an integral struc­ture authentic to human existence, and as a methodological tool for studying the transformations of existential space in various periods of human civilization development (stable/unstable); to reveal the features of the modern anthropologi­cal crisis as an existential challenge
Principles and Causes in Aristotle’s Metaphysics Δ.1
Authors:   Institute of Philosophy, Russian Academy of Sciences, Iunusov Artem
Published: September 2024

This paper deals with a new interpretation of the passage 1013a16–17 in Aristo­tle’s Metaphysics Δ.1, proposed by Richard Bodéüs and Annick Stevens in their recent edition of a French translation and commentary of Δ. In section 1 I de­scribe the problems with the traditional reading of this passage that implies that all principles are causes: given it, first, Aristotle makes a serious logical error in his reasoning and, second, it is impossible to match most of the senses and examples of ‘principle’ in this chapter to one of four Aristotelian causes. Then, in section 2 I give an overview the interpretation of Bodéüs and Stevens, show the validity of their reading, and explain how it solves all the aforementioned problems. Section 3 explores some additional advantages of this interpretation that are not mentioned by its authors in their edition: it justifies the presence of the second chapter of Δ in this book and helps to offer a plausible reconstruc­tion of an overall line of thought in Δ.1. Finally, in section 4 I look into the ques­tion of to which extent this interpretation is compatible with the understanding of relationship between the notions of ‘principle’ and ‘cause’ that is characteri­stic for Aristotle elsewhere in Corpus Aristotelicum
The graduate employability cycle of learning: Preparation, practice, and presentation
Authors: Grant Mary , Hanlon Clare , Young Janet A.
Published: September 2024

Change in the workplace is inevitable, intensified by the rapid development of global markets and demand for highly skilled and adaptable employees. One response to this demand is for higher degree students to immerse in workplace experiences aligned to their course discipline to build their employability. In consideration of higher education and industry practices in Australia, our paper examined the phases of student learning and development before, during and after workplace experiences that contribute to graduate employability and signalling capability. Three progressive methodological approaches were adopted: a job advertisement audit, semi-structured interviews, and an online employability survey. Deductive and inductive coding was applied to organise themes from interview transcripts and survey data, using non-parametric statistics to analyse data. Findings revealed a three-phased Graduate Employability Cycle of Learning. The Pre-Condition Phase 1 encourages student exploration of the industry discipline and self against defined awareness factors to prepare for practical experiences. Phase 2 comprises the Experiential Learning Cycle (Kolb, 1984) to validate the process of learning through practical experience. The Observed Signals Phase 3 identifies the experiential learning gained from practical experience and subsequent conversion into transferable graduate employability signals. Combined, the three-phased cycle guides theoretical knowledge and practical application of the employability signals, to assist job recruitment and selection, where employers can observe and recognise employable graduates who demonstrate their point of difference in the job market.
Identification of quantitative trait loci and candidate genes underlying kernel traits of wheat (Triticum aestivum L.) in response to drought stress
Authors: Ma Jingfu , Tian Tian , Wang Peng , Liu Yuan , Zhang Peipei , Chen Tao , Guo Lijian , Zhang Yanyan , Wu Yuxuan , Yang Delong , Shahinnia Fahimeh
Published: September 2024

Kernel traits are the most important yield components in wheat. The use of genetic loci and candidate genes that respond to drought stress without yield loss improves the productivity of wheat in arid regions. In this study, the 90K iSelect Infinium SNP assay for wheat was used to generate a high-density genetic map and identify quantitative trait loci (QTL) for kernel traits in a set of recombinant inbred lines (RILs). A total of 85 additive QTLs, including 16 for thousand-kernel weight (TKW), 14 for kernel length (KL), 16 for kernel width (KW), 11 for kernel thickness (KT), 18 for kernel size (KS), and 10 for kernel diameter ratio (KDR), were detected under drought stressed and well-watered conditions. Among them, 12 QTLs were identified as environmentally stable QTLs and refined into 10 QTL clusters, in which a total of 3738 candidate genes were extracted from the confidence interval of these QTL clusters. We discovered a QTL cluster interval (C3) on chromosome 5A, in which we found a potential candidate gene TraesCS5A02G288000 (TaCYP71E1-5A) for KS and KL and was annotated as “cytochrome P450”. The KASP marker for TaCYP71E1-5A was developed and further validated in 220 wheat varieties. These results provide a useful insight into the genetic factors underlying the kernel traits response to drought stress and will thus facilitate the improvement of wheat productivity under drought stress conditions in breeding programs.
Language-model-based patient embedding using electronic health records facilitates phenotyping, disease forecasting, and progression analysis
Authors: Xian Su , Grabowska Monika , Kullo Iftikhar , Luo Yuan , Smoller Jordan , Wei Wei-Qi , Jarvik Gail , Mooney Sean , Crosslin David
Published: September 2024

Current studies regarding the secondary use of electronic health records (EHR) predominantly rely on domain expertise and existing medical knowledge. Though significant efforts have been devoted to investigating the application of machine learning algorithms in the EHR, efficient and powerful representation of patients is needed to unleash the potential of discovering new medical patterns underlying the EHR. Here, we present an unsupervised method for embedding high-dimensional EHR data at the patient level, aimed at characterizing patient heterogeneity in complex diseases and identifying new disease patterns associated with clinical outcome disparities. Inspired by the architecture of modern language models—specifically transformers with attention mechanisms, we use patient diagnosis and procedure codes as vocabularies and treat each patient as a sentence to perform the patient embedding. We applied this approach to 34,851 unique medical codes across 1,046,649 longitudinal patient events, including 102,739 patients from the electronic Medical Records and GEnomics (eMERGE) Network. The resulting patient vectors demonstrated excellent performance in predicting future disease events (median AUROC = 0.87 within one year) and bulk phenotyping (median AUROC = 0.84). We then illustrated the utility of these patient vectors in revealing heterogeneous comorbidity patterns, exemplified by disease subtypes in colorectal cancer and systemic lupus erythematosus, and capturing distinct longitudinal disease trajectories. External validation using EHR data from the University of Washington confirmed robust model performance, with median AUROCs of 0.83 and 0.84 for bulk phenotyping tasks and disease onset prediction, respectively. Importantly, the model reproduced the clustering results of disease subtypes identified in the eMERGE cohort and uncovered variations in overall mortality among these subtypes. Together, these results underscore the potential of representation learning in EHRs to enhance patient characterization and associated clinical outcomes, thereby advancing disease forecasting and facilitating personalized medicine.
Predicting the safety zone and fire dynamics of Heptane multiple pool fire in a square dike using Flamelet Generated Manifold model
Authors: Nemalipuri Pruthiviraj , Singh Vasujeet , Vitankar Vivek , Das Harish Chandra Chandra , Pradhan Malay Kumar Kumar , Jena Swaroop
Published: September 2024

The pool fire-triggered domino events in chemical and process industries result in multi-fold damages with the worst severity. Consequence analysis of Multiple Pool Fire (MPF) through Quantitative Risk Assessment (QRA) is highly essential to save the workers and machinery beforehand. This research aims to develop a computational methodology for predicting the safety zone and fire dynamics of MPF in various meteorological environments using ANSYS Fluent. The present paper predicts the fire dynamics of heptane stored in four tanks within a square dike of 2.7m×2.7m. The simulations are performed using the unsteady Flamelet Generated Manifold (FGM) and Discrete Ordinate (DO) radiation model within the framework of the Large Eddy Simulation (LES) turbulence model. The Moss-Brookes soot model is deployed for capturing the soot formation. The hexahedral mesh with local refinement is utilized to resolve the flame characteristics. To attain the optimal mesh, an extensive grid-independence study is conducted. The experimented still air condition along with the worst-case scenario are modelled to evaluate the safety zone using flame surface irradiation. The proposed Computational Fluid Dynamics (CFD) methodology is validated using the predicted temperature profile, O2 and CO2 mass fraction within 2.2% error of experimental findings. The safety distance is predicted using the radiative heat flux values of CFD models. The validated CFD model consisting of FGM approach with LES turbulence model, can be a robust methodology to determine the safety perimeter of an industrial MPF during crosswind situations, with the aim of averting human casualties and property damage in advance.
Force Visualization System Integrating Moiré Fringe with Fiber Optic Plates to Eliminate Parallax Error
Authors: Zuo Jinrun , Takaki Takeshi
Published: September 2024

A mechanism for visualizing the magnitude of force is proposed. The mechanism displays the magnitude of the force to be measured as a stripe pattern or character of the principle of Moiré fringe. The structure of the visualization mechanism is extremely simple. The mechanism does not require strain gauges, amplifiers, cables, or other electrical elements. Although errors owing to hysteresis and parallax caused by structural issues have occurred in visualization devices developed to date, these problems have been resolved using a fiber optic plate and diffuse reflection. A method for acquiring the magnitude of force by photographing the mechanism with a camera and performing image processing to obtain a numerical value is also proposed. The performance of the improved force visualization mechanism was verified experimentally. The verification demonstrated that the display of characters corresponding to the magnitude of the force and the acquisition of force information from images were possible. Moreover, hysteresis did not occur, and errors caused by parallax were eliminated.
Maternal Cardiovascular and Metabolic Function Before Conception and Subsequent Development of Gestational Diabetes Mellitus
Authors: SOURETIS Kyriakos , PANTOS Konstantinos , PAPAS Athanasios , POLYDOROU Victoria , WRIGHT Alan , NICOLAIDES Kypros H. , Charakida Marietta
Published: September 2024

Aims
To determine if maternal cardiovascular and metabolic indices before conception were different in women who in a subsequent singleton pregnancy developed gestational diabetes mellitus (GDM), compared to those without GDM.
Methods
This was a prospective observational study in women attending for infertility treatment in an in vitro fertilization clinic. This visit included recording of maternal demographic characteristics and medical history, assessment of maternal cardiovascular function by echocardiography and examination of metabolic profile. The inclusion criteria were attendance of the infertility clinic before the onset of treatment and subsequent singleton pregnancy delivering a non-malformed live birth. The pre-pregnancy results in women who developed GDM were compared to those without GDM.
Results
The study population of 287 women included 75 (26.1%) who developed GDM. In the GDM, compared to the non-GDM group, there was a higher mitral valve E/e’ (6.24[5.93, 6.55] vs 5.83[5.69, 5.93], mean intima media thickness(0.51[0.51,0.51] vs 0.49[0.49, 0.49] mm and left ventricular global longitudinal systolic strain (-19.9[-20.4, -19.6] vs -20.8[-21.1, -20.6]% and lower apolipoprotein A (113[105, 121] vs 136[121,134]mg/dl). In multivariable analysis, after accounting for differences in maternal characteristics, there was persistence of significant differences in E/e’ and apolipoprotein A. However, the performance of screening for GDM achieved by the use of maternal risk factors was not improved by the addition of cardiovascular and metabolic indices.
Conclusion
Women at risk to develop GDM during pregnancy have an adverse risk factor profile before conception. Further studies are needed to confirm whether optimization of cardiovascular and metabolic risk factors prior to conception might be beneficial in reducing the risk for subsequent development of GDM.
Fault Diagnosis for the Operating Mechanism of High-Voltage Circuit Breakers using Multi-Channel Fusion Convolutional Neural Network
Authors: Song Qingjun , Wang Jiuxin , Song Qinghui , Li Kai , Hao Wenchao , jiang Haiyan
Published: September 2024

The mechanical fault diagnosis of HVCBs is important to ensure the stability of electric power systems. Aiming at the problem of poor diagnostic performance of deep learning methods under limited samples, this paper proposes an HVCB operating mechanism fault diagnosis model (multi-channel CNN-SABO-SVM, MCCSS) based on multimodal data fusion features and Subtraction-Average-Based Optimizer (SABO). This model extracts and fuses features from the input two-dimensional data using a multi-channel CNN network and then uses the multimodal data fusion features to diagnose HVCB faults. Additionally, the SVM is used instead of the Softmax classifier to classify the fused features of vibration and sound, compensating for the poor diagnostic performance and generalization ability of the CNN network in small sample data scenarios. To further enhance the fault diagnosis performance of the SVM, the SABO is introduced for hyperparameter optimization of the SVM classifier. An HVCB fault test platform was established to train and test the model with limited data. The experimental results show that, compared with the multi-channel CNN-SVM and the CNN model based on unimodal signals, the proposed multi-channel CNN-SABO-SVM model improves the accuracy by 2.66% and 10.66%, respectively, and effectively addresses the challenge of circuit breaker fault diagnosis with limited samples.
Thrombin induces degradation of murine intervertebral discs via angiogenesis and M1-like polarization of macrophages
Authors: Tatsuno Rikito , Ando Takashi , Fujimaki Taro , Takayama Yoshihiro , Ohba Tetsuro , Haro Hirotaka
Published: September 2024

With the marked aging of the global population, the prevalence of musculoskeletal disorders owing to low back pain has escalated, with an associated increase in the number of individuals requiring nursing care. To help identify novel therapies for treating disc degeneration, we examined the roles of thrombin and macrophages in intervertebral disc degeneration, a significant cause of low back pain. Experiments using a needle-puncture mouse model of disc degeneration confirmed that this process led to the production of thrombin and MCP-1. Thrombin altered macrophage markers, increasing the population of M1 markers and decreasing that of M2 markers. Therefore, increased thrombin and MCP-1 production may induce disc degeneration by inducing M1-type polarization of migrated macrophages. Disk-tissue M1-macrophage levels were elevated 3 weeks after puncture. Administering SCH79797, a thrombin receptor (PAR1) antagonist, suppressed thrombin-induced disc degeneration and inhibited macrophage migration, M1 polarization, VEGF production, and angiogenesis. These findings suggest the suppression of thrombin function in intervertebral disc inflammation as a novel and promising approach for treating disc degeneration.
Drag reduction and shear degradation properties of biopolymers in turbulent flow of water in a circular pipe
Authors: raei behrouz
Published: September 2024

In the present study, the drag reduction properties and shear degradation of three biopolymers including Sodium Alginate (SA), Hydroxyethyl cellulose (HEC) and Carboxymethyl cellulose (CMC) were experimentally investigated in a smooth circular pipe. Several experiments were performed under various operating condition such as flow rate 6, 8 and 10 l/min for preparing turbulent flow regimes, concentrations of 0, 200 and 500 ppm and temperature 40, 50 and 60°C. In order to investigate the shear degradation of biopolymers, three different methods were used. The results showed that adding all three biopolymers to the water reduced the friction factor, except for SA, which completely lost its drag reducing properties in less than 30 min. The maximum percentage of drag reduction (DR%) was obtained for CMC by 32.7%. Also, results showed that by increasing flow rate and temperature, DR% decreased. The results of degradation monitoring displayed that CMC has the highest resistance to shear degradation, followed by HEC and finally SA. The exponential decay model could predict the DR behavior of HEC and CMC solutions well.
Radiation Induced Electrochemistry Suppression Probed by Spatially Resolved Operando X-Ray Diffraction
Authors: Wragg David Stephen , North Erlend , Skautvedt Casper , Thiagarajan Abilash , Koposov Alexey , Checchia Stefano , MIchel Marco Di
Published: September 2024

The use of synchrotron radiation has become common for probing the structure of rechargeable batteries, particularly for operando analysis of battery materials. In a recent operando X-ray diffraction study of graphite lithiation in a half cell we found that no lithiation of the sample could be observed in the XRD despite electrochemistry indicating full lithiation. Scanning the sample to examine other areas revealed that exposure of the electrode to high photon flux during the operando study had shut down local electrochemical transformations in the cell and caused formation of lithium fluoride. The effects are not limited to the irradiated area and a gradient of lithiation is observed in areas further from the operando beam position. We rationalize these changes through radiation induced ionization which may be caused by the direct beam, Compton scattered X-rays, or possibly both.
Spatial-statistical modeling of deforestation from an ecogeomorphic perspective in typical Hyrcanian forests, northern Iran
Authors: Poufarashzadeh Fahimeh , Madadi Aghil , Gharachorlu Mortaza , Sareskanrood Sayyad Asghari
Published: September 2024

The spread of disruptive and negative environmental changes in the watersheds has led to the adopting of new interdisciplinary approaches with awareness of the manifold interactions between biotic and abiotic components, to organize and restore watersheds. This study aimed to discover and identify the interaction between geomorphological variables and deforestation by adopting an interdisciplinary approach of ecogeomorphology and relying on statistical-spatial analysis, to model forest loss deforestation. Talesh catchments in northern Iran have been selected as the target area due to their good forest ecosystems and many environmental issues in recent years. Independent geomorphometry variables were: altitude, slope, topographic position index (TPI), northness, esatness, plan curvature, profile curvature, length of slope factor (LS), slope length, topographic wetness index (TPI), contributing area, distance to stream, terrain ruggedness index. The assessment of negative changes in forest cover from 1991 to 2022 showed that about 90 km2 (4.5% of the total area of catchments) has been exposed to deforestation. The results of logistics regression analysis of the relationships between geomorphological variables and deforestation showed that the high probability of forest loss in low altitude and valleys, low slopes, divergent flow points, convex surface, downstream section, flat areas with homogeneous, dry zones with low moisture. Therefore, we noticed the "ecogeomorphic sensitivity" in such areas is more than in other environments. What is important for regional, urban, and rural policymakers and planners are the areas that were identified with high ecogeomorphic sensitivity. These hotspots require more care and protection, and any human intervention in these areas must be done consciously and in accordance with environmental sustainability.
Planetary Health Diet adherence in relation to dietary cost and its variation by socio-economic factors among Iranian older adults
Authors: Dehnavi Maryam Karim , Abbasi Hanieh , Hajian Parisa Nezhad , Motlagh Ahmadreza Dorosty , Azadbakht Leila
Published: September 2024

Poor dietary patterns among older adults are significantly influenced by socioeconomic status (SES) and food prices, impacting both diet quality and food choice. This study examines how dietary cost relate to the Planetary Health Diet Index (PHDI) and assesses the role of SES in Iran's elderly population.
In this cross-sectional study, 398 elderly individuals from southern Tehran were sampled. Dietary data were collected using a validated food frequency questionnaire, and adherence to the PHDI was evaluated based on EAT-Lancet guidelines. food costs were derived from the Iranian Statistics Center and retail prices. Multivariable linear regression analyzed the relationship between PHDI adherence and dietary cost.
PHDI adherence varied significantly across demographics. Higher adherence was observed in females (OR = 0.82, 95% CI: 0.71-0.95) and those with a BMI ≤27.5 (OR = 0.84, 95% CI: 0.73-0.97), while single individuals had higher scores (OR = 0.85, 95% CI: 0.74-0.98). Higher PHDI tertiles were linked to lower daily dietary cost, with a significant decrease observed in the highest tertile compared to the lowest (β = -708,367 Rials, 95% CI: -1,060,371 to -356,362). However, this association was not significant among single and low-income participants.
The study reveals that higher adherence to PHDI is associated with reduced dietary cost, although this relationship does not hold for single or lower income individuals. Future research should focus on longitudinal studies to develop equitable public health strategies that promote affordable and sustainable dietary practices.
Human papillomavirus vaccination poses different risks for various cranial nerve disorders - a retrospective cohort study using a real-world database
Authors: Lin Wen Chun , Wang Shiow-Ing , Chang Renin , Wei Cheng-Chung
Published: September 2024

Human papillomavirus (HPV) vaccines act against HPV infection and some cancers. Various cranial nerve disorders are known to occur after HPV viral infections. However, studies on the relationship between human papillomavirus vaccination and cranial nerve disorders are limited. Here, we aimed to evaluate the association between human papillomavirus vaccination and risks of cranial nerve disorders in young girls.
We enrolled 261,111 women aged between 9 and 26 years, and they had received HPV vaccination between January 2018 and December 2022. These subjects were compared with those controls who never received HPV vaccination using a propensity score-matched (1:1) based on the TriNetX U.S. Collaborative Network. Risks on incidences of various cranial nerve disorders were evaluated. Subgroup and sensitivity analyses were also performed.
The HPV-vaccinated cohort, on one hand, had significantly lower risks on hearing loss (aHR:0.490, 95% CI:0.419-0.572), facial nerve disorders (aHR:0.690, 95% CI:0.522-0.912); disorders of vestibular function disorders (aHR:0.523, 95% CI:0.422-0.647); and similarly on other inner ear disorders (aHR:0.537, 95% CI:0.392-0.735) and trigeminal nerve disorders (aHR:0.328, 95% CI:0.200-0.538). On the other hand, the HPV-vaccinated cohort had significantly higher risks of odor and taste disorders (aHR: 3.136, 95% CI: 0 2.562-3.840). Kaplan-Meier curves of different cranial nerve disorders also revealed significant probability disparities between the two cohorts (Log–Rank test, p < 0.001).
In conclusion, for females between 9 and 26 years old, their HPV vaccination was associated with on one hand, lower risks of cranial nerve disorders, like hearing loss, vestibular function/other diseases of the inner ear, facial nerve disorders, and disorders of the trigeminal nerve, and on the other hand, higher risks on smell and taste disorders, as revealed over a year-long follow-up period.
A mixed methods study on the status and challenges of implementing antimicrobial stewardship programmes in seventeen hospitals in Kampala, Uganda
Authors: Kubai Doris Kananu , Adome Richard , Munanura Edson , Kyalisiima Immaculate , Ashiru-Oredope Diane , Okumu Mitchel
Published: September 2024

Background
The present study evaluated the status of implementation and the barriers of AMS in private hospitals in Kampala, Uganda.
Methods
A cross-sectional survey was conducted in seventeen private hospitals in Kampala, Uganda, between August 2020 and September 2020, using a mixed methods approach. Qualitative data was collected using key informant (KI) interviews while quantitative data was collected using the Commonwealth Partnerships for Antimicrobial Stewardship (CwPAMS) checklist. Transcripts from key informant interviews were analyzed using the content analysis method and data from the CwPAMS checklist was analyzed using descriptive statistics.
Results
Most hospitals in the study area had no designated AMS team lead, budget for AMS activities, documents outlining the roles and responsibilities of the AMS team, minutes of AMS meetings, and regular reports on AMS. There was also a shortage of staff for AMS activities, low training on AMS, AMS was not prioritized, and there were inadequate resources to train staff on optimizing antimicrobial prescribing.
Conclusions
There are multiple barriers to the implementation of Antimicrobial Stewardship in private hospitals in Kampala. More resources need to be allocated to the study area to carry out AMS activities.
Physical walls and social contact barriers are exacerbating social inequality: Evidence from Beijing
Authors: Lu Pingzhen , Xia Fangzhou , Yan Jinming , Shen Jeff , Hui Eddie Chi Man
Published: September 2024

Social inequality is important to determine the stability of the social structure. In the process of urban development, an elevated level of physical isolation will restrict the social interaction in space and then affect the state of social inequality. Urban space is an important carrier for communication and morphological change among different population groups, which is closely related to urban geographical barriers, such as distance, closed walls, and gated street boundaries. Physical isolation may affect the contact and movement of communities, thus exacerbating the degree of social inequality. At present, the common relationship between community communication, urban geography, and social inequality has been less explored. In this paper, we take Beijing, China, a megacity that contains almost all forms of physical isolation from the community and traffic, as an example. Based on the big data of population portrait and spatial portrait, we analyse the development and change rules of social contact and income inequality when urban area is divided by two major physical barriers, community walls, and roads. The influence model of "physical isolation- social contact- social inequality" is constructed.