bluuebunny/crossref_metadata_2025 huggingface dataset:
Multi-Parametric MRI Combined with Radiomics for the Evaluation of Lymphovascular Space Invasion in Cervical Cancer
Authors: Wang Huanhuan , Meng Jie , Dong Guoqiang , Zhu Lijing , Zhou Zhengyang , Jiang Yuan , Zhu Li
Published: March 2024

Background: To explore the feasibility of radiomic models using different magnetic resonance imaging (MRI) sequences combined with clinical information in evaluating the status of lymphovascular space invasion (LVSI) in cervical cancer. Methods: One hundred one cervical cancer patients were included from January 2018 to December 2020. All patients underwent 3.0T MRI examination including T2 weighted imaging (T2WI), diffusion weighted imaging (DWI) and contrast-enhanced T1 weighted imaging (T1WI + C) enhanced sequences. Age, preoperative squamous cell carcinoma (SCC) associated antigen value and the depth of muscular invasion were collected. The 101 patients were divided into training set and validation set. Three different models were developed using T2WI, DWI and T1WI + C parameters respectively. One model was developed combining the three different sequences. The diagnostic performance of each model was compared via receiver operating characteristic curve analysis. Results: Forty-eight cases were pathologically confirmed with lymphovascular space invasion. The average SCC value of the LVSI positive group (10.82 ± 20.11 ng/mL) was higher than that of the negative group (6.71 ± 14.45 ng/mL), however there was no significant statistical difference between the two groups. No clinical or traditional imaging features were selected by spearman correlation analysis. Among the corresponding radiomic models, the machine learning model based on multi-modality showed the best diagnostic efficiency in the evaluation of LVSI (receiver operating characteristic (ROC) curve of multimodal radiomics in the training set (area under the ROC curve (AUC) = 0.990 (0.975–0.999)) and in the validation set (AUC = 0.832 (0.693–0.971)). Conclusions: The diagnostic efficacy of radiomics is superior to conventional MRI parameters and clinical parameters. The radiomics-based machine learning model can help improve accuracy for the preoperative evaluation of LVSI in cervical cancer.
Pre-Pregnancy Body Mass Index and the Risk of Hyperemesis Gravidarum: A Systematic Review and Meta-Analysis
Authors: Jenabi Ensiyeh , Salehi Amir Mohammad , Aghababaei Soodabeh , Khazaei Salman
Published: March 2024

Background: Hyperemesis gravidarum (HG) is an infrequent and severe occurrence of nausea and/or vomiting during pregnancy, with a prevalence ranging from 0.3% to 2%. Until now, no meta-analytic study has been undertaken to assess the correlation between pre-pregnancy body mass index (BMI) and the likelihood of HG. Consequently, this meta-analysis was carried out to examine the connection between BMI and HG risk. Methods: For this systematic review and meta-analysis, we conducted a thorough search of electronic bibliographic databases such as PubMed, Web of Science, Scopus, and Science Direct until May 2022. The outcomes were presented utilizing a random-effects model. Heterogeneity was assessed using the chi-square test and I2 statistic. Potential publication bias was examined using Begg’s test. Additionally, we evaluated the quality of studies using the Newcastle Ottawa Scale. Results: In total, seven studies were included in the present meta-analysis such as six cohort studies and one cross-sectional study. In this meta-analysis, 3,573,663 participants were involved. Based on the results, the underweight was a risk factor for HG (odds ratio (OR) = 1.91, 95% confidence interval (CI): 1.21, 2.61). There was not significant association between overweigh and HG (OR = 1.23, 95% CI: 0.96, 1.50). In addition, there was not significant association between obesity and HG (OR = 0.88, 95% CI: 0.42, 1.34). Heterogeneity was seen among the included studies. Conclusions: An apparent association between pre-pregnancy BMI and the risk of HG has been observed. However, further investigation is necessary, as the mechanisms and the connection to GDF15 are not yet clear. The most supported public health advice is to attain a healthy BMI before conception. Additionally, the oversight of confounding variables should be taken into account, highlighting the need for comprehensive consideration in future studies.
ISO/IEC 25010-based Quality Evaluation of Three Mobile Applications for Reproductive Health Services in Morocco
Authors: Moumane Karima , Idri Ali , El Aouni Fatiha , Laghnimi Jihad , Benabdellah Naoual Chaouni , Hamal Oussama
Published: March 2024

Background: Mobile applications play a crucial role in postnatal, contraception, and prenatal care, offering vital monitoring and resources for mothers and infants. This study assessed the software product quality (SPQ) (the degree to which a software product meets specified requirements and user expectations) of three reproductive health monitoring mobile applications, employing ISO/IEC 25010 and ISO/IEC 25023 standards. The objective was to analyze the strengths and weaknesses of each app, thereby providing valuable information for potential users. By identifying areas requiring enhancement, this study improves the overall quality and usability of these applications. Methods: We implemented a three-step analysis process, examining the sub-features and features outlined in the ISO/IEC 25010 standard for software product quality, encompassing functionality, reliability, usability, efficiency, and maintainability. Subsequently, we formulated a checklist summarizing the influence of the three mobile applications on SPQ. Finally, we calculated the impact of each requirement block on both SPQ and quality in use (QIU) models. Results: The results show that the functional suitability SPQ characteristic is greatly influenced by the predefined requirements, with subsequent impacts on the operability, performance efficiency, reliability, and security SPQ characteristics. Thus, developers, designers, and testers must integrate these requirements across the developmental stages of health mobile applications to create a high-quality, patient-centered product with substantial added value. Conclusions: This study has produced a range of requirements tailored for pregnancy monitoring and childcare applications, serving as a valuable reference for developers aiming to create high-quality applications and evaluate their quality effectively. It underscores the importance of integrating SPQ characteristics into the software development process to ensure the creation of high-quality products with essential key performance indicators (KPIs). Such considerations facilitate better evaluations in application stores and increase user adoption and satisfaction levels.
Targeted Knockdown of Hepatic Δ-5 Fatty Acid Desaturase FADS1 Aggravates Atherosclerosis in ApoE-/- Mice
Authors: Liu Qiulei , Wang Peng , Yang Zhao , Dai Yue , Wang Sheng
Published: March 2024

Background: The endogenous metabolism of polyunsaturated fatty acids is regulated by the fatty acid desaturase (FADS) gene cluster and is strongly associated with diseases such as atherosclerosis, dyslipidemia, and type 2 diabetes. However, the association between FADS and atherosclerosis remains a subject of debate. Methods: In this study, we specifically investigated the physiological role of Δ-5 fatty acid desaturase (FADS1) in aortic and peripheral vessel (namely, the femoral artery) atherosclerosis by targeting the selective knockdown of hepatic Fads1 in apolipoprotein E-null (ApoE-⁣/-) mice with antisense oligonucleotides (ASOs). Results: Knockdown of hepatic Fads1 in ApoE-⁣/- mice exacerbated aortic atherosclerosis and non-alcoholic fatty liver disease (NAFLD), resulting in weight loss. Upregulation of FADS1 mRNA expression in more severe atherosclerosis vascular tissues potentially caused the upregulation of angiopoietin-like 4 expression. Conclusions: Our study demonstrated that knockdown of hepatic Fads1 in ApoE-⁣/- mice aggravates spontaneous atherosclerosis and NAFLD but does not affect peripheral atherosclerosis (femoral artery) induced by vascular cuff combined with tandem stenosis.
Ekolojik Koridorların Mikro İklim ve Hava Kirliliği Dağılımı Üzerindeki Etkisinin Belirlenmesi; Erzurum Örneği
Authors: Dursun Doğan , Yavaş Merve
Published: March 2024

İklimle kentleşme süreçleri arasındaki ilişkinin sorunlu olduğu ve yaşam koşullarını olumsuz etkilediği Erzurum kentinde, rüzgâr hareketleri, inversiyon, termal konfor, hava kirliliği ve mikro iklim değerleri gibi verilerin belirlenerek mekânsal planlama için uyum stratejilerinin hazırlanması ve geleceğe dair iklim simülasyonlarının üretilmesi gerekmektedir. Bu kapsamda yapılan çalışma ile, Erzurum’da hava kirliliği probleminin çözümü ve insan sağlığını koruyarak yaşam kalitesinin yükseltilmesi amacıyla ekolojik koridor önerilerine dayalı simülasyonlar yapılmış ve etkilerine dair somut sonuçlar ve araçlar ortaya konmuştur. Araştırma yöntemi, Erzurum kenti içerisindeki üzeri kapatılmış dere hatlarını dikkate alarak açılması önerilen iki ekolojik koridorun, çevresindeki hava kirliliği ve yerel mikro iklim koşullarına etkilerinin ENVI-met programı aracılığıyla üretilen simülasyon haritaları üzerinden belirlenmesi şeklindedir. Sonuçlar, öneri ekolojik koridorların çevresindeki kentsel yapılı çevrede hava kalitesini iyileştirdiği, kirliliği azalttığı ancak termal konfor değerlerinde düşüşe neden olduğunu göstermiştir. Ek olarak öneri ekolojik koridorlar ile havalandırma imkânı sağlanmış, kapalı dere hattının restorasyonu önerilmiş, yüksek yapı yoğunluğuna sahip kentsel gelişme engellenmiştir. Sonuçların kentlerimiz için ekolojik koridor uygulamalarının mikro iklime bağlı termal konfor koşulları ve hava kirliliği dağılımı üzerindeki etkilerinin belirlenmesinde örnek teşkil edecek bulgular ortaya koyacağı düşünülmektedir.
WhatsApp Explorer: A Data Donation Tool To Facilitate Research on WhatsApp.
Authors: Garimella Kiran , Chauchard Simon
Published: March 2024

In recent years, reports and anecdotal evidence pointing at the role of WhatsApp in a variety of events, ranging from elections to collective violence, have emerged (Arun, 2019). While academic research should examine the validity of these claims, obtaining WhatsApp data for research is notably challenging, contrasting with the relative abundance of data from platforms like Facebook and Twitter, where user “information diets" have been extensively studied (Barberá et al., 2015; Guess, Nagler and Tucker, 2019). This lack of data is particularly problematic since misinformation and hate speech are major concerns in the set of Global South countries in which WhatsApp dominates the market for messaging (Tucker et al., 2018). To help make research on these questions, and more generally research on WhatsApp, possible, this paper introduces WhatsApp Explorer, a tool designed to enable WhatsApp data collection on a large scale. We discuss protocols for data collection, including potential sampling approaches, and explain why our tool (and adjoining protocol) arguably allow researchers to collect WhatsApp data in an ethical and legal manner, at scale.
An initial study of the IoT service application for software split
Authors: Yamato Yoji
Published: March 2024

The automatic splitting method for environmental adaptation that we have tested so far have been limited to C-language computing applications. In this paper, by applying an automatic splitting method to IoT services, we will make it easier for users to make their own changes to IoT services that previously required the operator to provide basic services in advance.
IEICE Technical Workshop on Network Software, NWS-34-7, June 2024.
Association between gaming disorder and internalizing symptoms among children and adolescents: A child-parent dyadic study
Authors: Hamamura Toshitaka , Kaneko Kyosuke , Ito Masaya
Published: March 2024

Despite the well-researched association between problematic video gaming and internalizing symptoms, few studies incorporate parent reports or examine possible moderators for this association. This study examined person- and dyadic-level associations between gaming disorder (GD) and internalizing symptoms among children and adolescents, along with the moderation of expressive suppression, family functioning, and parenting behaviors. A cross-sectional design was adopted, and 121 dyads of parents and their children who played video games at least once a week were recruited. Participants received questionnaires via mail and completed them independently in a paper-and-pencil format. In generalized linear regression and multilevel common fate modeling, child-reported GD and latent GD were treated as the criterion variables, respectively. Despite the significant association between child-reported GD and internalizing symptoms, β = .023, p = .03, the latent association measuring the cross-informant agreement was not significant, β = –.004, p = .86. The only significant moderator was the parent-reported positive parenting behavior in the latent association between GD and internalizing symptoms, β = –.004, p = .04. At the dyadic-level, GD and internet gaming disorder had the same pattern of associations with the other measures, whereas a different pattern emerged at the person-level. This multi-informant measurement may indicate a possible inflation of the self-reported positive association between GD and internalizing symptoms. Positive parenting behavior, including positive response, involvement, and respect, may serve as emotional support, which protects children from resorting to video gaming to alleviate psychological distress.
Assessment of two-phase dissolution system as a guide in drug formulation: The furosemide case
Authors: Hussein Mohammed Abdulzahra , Sahib Mohanad Naji
Published: March 2024

The performance and the quality control of a drug may be evaluated using different approaches. Dissolution test is a corner stone in these processes. However, many issues appeared when using monophasic dissolution system like keeping the sink condition and/or described the in-vivo performance for Class II and IV drugs. Therefore, this study was to evaluate the biphasic dissolution system as discriminatory tool to differentiate between manufacture process and different excipient use for Class IV drug. Furosemide was prepared by two different methods: direct compression and wet granulation. Different excipients (acid and base) were used for each method. Furthermore, two commercially available products (Lasix® and generic product FA) were used for comparison with the prepared formulation. All formulations were evaluated for physical properties like hardness, friability and disintegration. Monophasic and biphasic dissolution tests were carried out for all formulas. All physical properties of the prepared tablets were within acceptable values. The dissolution rates of all three types of formulas (brand, generic, and prepared formulation) were identical under monophasic conditions. The similarity factor was more than 50 and difference factor less than 15. On the other hand, the biphasic dissolution profiles (aqueous phase, organic phase and overall dissolution media) showed significant differences between all prepared formulations and the brand product. Moreover, the two phase system still had the ability to show the similarity between brand and generic product. Furthermore, the direct compression method showed lower release than wet granulation method. Similarly, the acid excipients showed higher release than the basic one. As a conclusion, the biphasic dissolution system showed an excellent discriminatory power. Moreover, this approach was superior over conventional dissolution system regarding identifying variations in production processes and excipients content.
Effect of Docetaxel on Matrix Metalloproteinase 1 Expression in Freund’s Adjuvant Induced Arthritis
Authors: Alghulami Omar , Ghaith A. Jasim  , Suzan Yousif Jasim
Published: March 2024

Rheumatoid arthritis is an autoimmune disorder that affects the synovial joints. It lead to inflammatory changes occur in synovial tissue, cartilage, bone, and, less frequently, extra-articular structures. Docetaxel, is an anti-neoplastic drug. Methotrexate is a treatment for early-stage rheumatoid arthritis but have 30% failure in treatment within the first year due to resistance or side effects. Matrix metalloproteinase 1 is the proteinase primarily in charge of the irreversible degradation of cartilage, bone, and tendons in the joints, which are induced by cytokines. This study aims to evaluate the effects of docetaxel and methotrexate on Matrix metalloproteinase 1 in the structure of the induced arthritis joints. Methods: To induce the disease, complete Freund's adjuvant is injected subcutaneously into rats. From the 40 male Wister rats, five groups of eight were formed. The control group is composed of non-diseased rats. The second group is induced by complete Freund's adjuvant and 0.5 ml of normal saline was administered intraperitoneally to both the control and induction groups. After being induced by complete Freund's adjuvant, the third group is administered 1 mg/kg/ on alternate day of Docetaxel based on a preliminary experiment. The fourth group is induced and given 1 mg/kg/week of Methotrexate intraperitoneally. The fifth group receives a half dose of Methotrexate and Docetaxel simultaneously. Serum level of Anti Cyclical citrullinated Peptide Antibody, tissue homogenate level of tumor necrosis factor-alpha, knee joint circumference and Immunohistochemical of Matrix metalloproteinase 1 measurements were applied. Results: Significant decreased in the Serum level of Anti-Cyclic citrullinated Peptide Antibody, tissue homogenate level of tumor necrosis factor-alpha & Knee joint circumference in the Docetaxel group. significant lowering in the expression of Matrix metalloproteinase 1 immunoreactivities in Docetaxel and Methotrexate groups with almost absent spots of positive reaction with the matrix of synovial tissue, hyaline cartilage & articular surface. Conclusion:  This study showed that Docetaxel may have anti-arthritic effect through their significant lowering expression of Matrix metalloproteinase 1 immunoreactivities.
Some Identities and Generating Functions for Bidimensional Balancing and Cobalancing Sequences
Authors: Chimpanzo José , Catarino Paula Maria Machado Cruz , Otero Espinar María Victoria
Published: March 2024

This article studies the bidimensional versions of four number sequences: balancing, Lucas-balancing, Lucas-cobalancing and cobalancing. Some of the identities and generating functions were presented.
Ontologies and knowledge representation in terminology: Present and future perspectives
Authors: Giacomini Laura
Published: March 2024

This contribution reflects on the current role of ontologies in terminology research and practice and their future role, especially with a view to the creation of fully digital terminographic resources. The very notion of (domain) ontology, its concept and term, is discussed, highlighting metaterminological differences and substantial ambiguities arising from the interdisciplinary contact between Ontology Engineering and Terminology. Major challenges in ontology building, e.g. subjectivity, are mentioned, also with respect to the distinction between realist and non-realist ontologies and their relevance in Terminology. In addition, this contribution presents some examples of terminology resources with a distinct ontological component, showing a diversity of approaches depending on the purpose of the resource and its scope. In this context, more specific topics are addressed, such as the acquisition of ontological data and suitable formats and models for representing domain knowledge. The contribution ends with a vision of the integration of complex concept systems such as ontologies in future terminology work: here, the development of models based on terminology-specific requirements and typical users will be fundamental.
A comparative assessment of OMP and MATLAB for parallel computation
Authors: Dash Yajnaseni , Abraham Ajith
Published: March 2024

The prime goal of parallel computing is the simultaneous parallel execution of several program instructions. Consequently, to accomplish this, the program should be divided into independent sets so that each processor can execute its program part concurrently with the other processors. This study compares OMP and MATLAB, two important parallel computing simulation tools, through the use of a dense matrix multiplication technique. The results showed that OMP outperformed the MATLAB parallel environment by over 8 times in sequential execution and 6 times in parallel execution. From this proposed method, it was also observed that OMP with an even slower processor performs much better than MATLAB with a higher processor. Thus, the present analysis indicates that OMP is a superior environment for parallel computing and should be preferred over parallel MATLAB.
Remote Associations Between Tau and Cortical Amyloid-β Are Stage-Dependent
Authors: Hojjati Seyed Hani , Chiang Gloria C. , Butler Tracy A. , de Leon Mony , Gupta Ajay , Li Yi , Sabuncu Mert R. , Feiz Farnia , Nayak Siddharth , Shteingart Jacob , Ozoria Sindy , Gholipour Picha Saman , Stern Yaakov , Luchsinger José A. , Devanand Davangere P. , Razlighi Qolamreza R.
Published: March 2024

Background: Histopathologic studies of Alzheimer’s disease (AD) suggest that extracellular amyloid-β (Aβ) plaques promote the spread of neurofibrillary tau tangles. However, these two proteinopathies initiate in spatially distinct brain regions, so how they interact during AD progression is unclear. Objective: In this study, we utilized Aβ and tau positron emission tomography (PET) scans from 572 older subjects (476 healthy controls (HC), 14 with mild cognitive impairment (MCI), 82 with mild AD), at varying stages of the disease, to investigate to what degree tau is associated with cortical Aβ deposition. Methods: Using multiple linear regression models and a pseudo-longitudinal ordering technique, we investigated remote tau-Aβ associations in four pathologic phases of AD progression based on tau spread: 1) no-tau, 2) pre-acceleration, 3) acceleration, and 4) post-acceleration. Results: No significant tau-Aβ association was detected in the no-tau phase. In the pre-acceleration phase, the earliest stage of tau deposition, associations emerged between regional tau in medial temporal lobe (MTL) (i.e., entorhinal cortex, parahippocampal gyrus) and cortical Aβ in lateral temporal lobe regions. The strongest tau-Aβ associations were found in the acceleration phase, in which tau in MTL regions was strongly associated with cortical Aβ (i.e., temporal and frontal lobes regions). Strikingly, in the post-acceleration phase, including 96% of symptomatic subjects, tau-Aβ associations were no longer significant. Conclusions: The results indicate that associations between tau and Aβ are stage-dependent, which could have important implications for understanding the interplay between these two proteinopathies during the progressive stages of AD.
Exploring the interpretability of the BERT model for semantic similarity
Authors: Ledesma Roque Diana Anahí , Kolesnikova Olga , Menchaca Méndez Ricardo
Published: March 2024

This study addresses the issue of semantic similarity in sentences using the BERT model through various aggregation techniques, such as max-pooling, mean-pooling, and an LSTM network applied to the output of the BERT model. Subsequently, the linguistic interpretability of the BERT-Base transformer model is analyzed through the unsupervised learning approach, specifically through dimensionality reduction using autoencoders and clustering algorithms, utilizing the representation of the classification token CLS. The results highlight that the CLS classification token achieves better abstractions than the proposed methods. In terms of interpretability, it is observed that sequence length is relevant in the early layers, with a gradual decrease across the layers. Additionally, attention to semantic similarity is concentrated in the intermediate and upper layers, especially in layers 6, 8, 9, and 10. All these findings were obtained by addressing the semantic similarity task using the STS-Benchmark dataset.
Crips sets, type-1, and type-2 fuzzy sets in the context of linguistic variables and rule-based systems for cognitive computing
Authors: Cortés-Antonio Prometeo , Valdez Fevrier , Melin Patricia , Castillo Oscar
Published: March 2024

The computing with words is an approach that has unique characteristics and advantages to model cognitive processes, this article explains the relationship and difference between type-1 and type-2 fuzzy sets in the definition of linguistic values. Here, we perform a compressive review and justify because type-2 sets are more appropriate in modeling linguistic values, and a heuristic procedure by examples is carried out to define linguistic values on a continuous variable. A visual comparison of a rule-based system, when linguistic values use crips, type-1, and type-2 fuzzy sets in modeling a cognitive system.
Identification of gynecological pathologies by applying classification algorithms: Results of a local study
Authors: Cruz Eddy Sánchez-Dela , Fuentes-Ramos Mirta , Loeza-Mejía Cecilia-Irene , José-Guzmán Irahan-Otoniel
Published: March 2024

Purpose: Vaginal infections are prevalent causes of gynecological consultations. This study introduces and evaluates the efficacy of four Machine Learning algorithms in detecting vaginitis cases in southern Mexico. Methods: Utilizing Simple Perceptron, Naïve Bayes, CART, and AdaBoost, we conducted classification experiments to identify four vaginitis subtypes (gardnerella, candidiasis, trichomoniasis, and chlamydia) in 600 patient cases. Results: The outcomes are promising, with a majority achieving 100% accuracy in vaginitis identification. Conclusion: The successful implementation and high accuracy of these algorithms demonstrate their potential as valuable diagnostic tools for vaginal infections, particularly in southern Mexico. It is crucial in a region where health technology adoption lags behind, and intelligent software support is limited in gynecological diagnoses.
Research on SRM control strategy for looms based on multi-algorithm fusion
Authors: Xiao Yanjun , Pei Eryue , Shi Linhan , Peng Kai , Liu Weiling
Published: March 2024

In order to solve the problem that Switched Reluctance Motor (SRM) generates torque pulsation phenomenon during operation, which reduces the stability of loom spindle operation, this paper proposes and designs a multi-algorithm fusion-based SRM control strategy from the point of view of control strategy research. Combined with the operating characteristics of the loom, the causes of SRM torque pulsation are analyzed from the point of view of SRM control strategy, and combined with the spindle control indexes, the voltage chopper control and torque distribution function are introduced to construct the SRM control strategy scheme for the loom. On this basis, an optimization strategy based on the fusion of fuzzy control algorithm, particle swarm algorithm and simulated annealing algorithm is proposed to optimize the torque distribution function, and the algorithmic process of SRM control strategy is verified through comparative tests. The results show that the control strategy can make its torque pulsation reduced to less than 10%, the speed rise time is less than 0.1 s, and the relative error of the speed is less than 0.05%, which meets the index requirements of the spindle drive. This proves that the SRM torque pulsation can be reduced by the multi-algorithm fusion control strategy without increasing the hardware cost, which provides a useful reference for solving the SRM torque pulsation problem under the requirement of low cost.
Graph convolutional collaborative filtering recommendation method based on temporal information during node aggregation process
Authors: Zhang Shuguang , Xie Chengyuan , Zhang Heng , Gong Wenzheng , Liu Lingjie , Zhi Xuntao
Published: March 2024

Graph Convolutional Networks (GCN) are prevalent techniques in collaborative filtering recommendations. However, current GCN-based approaches for collaborative filtering recommendation have limitations in effectively embedding neighboring nodes during node and neighbor information aggregation. Furthermore, weight allocation for the user (or item) representations after convolution of each layer is too uniform. To resolve these limitations, we propose a new Graph Convolutional Collaborative Filtering recommendation method based on temporal information during the node aggregation process (TA-GCCF). The method aggregates and propagates information using Gated Recurrent Units, while dynamically updating features based on the timing and sequence of interactions between nodes and their neighbors. Concurrently, we have developed a convolution attention coefficient to ascertain the significance of embedding at distinct layers. Experiments on three benchmark datasets show that our method significantly outperforms the comparison methods in the accuracy of prediction.
Ranking of asset maintenance process KPIs using Fermatean fuzzy Delphi and Fermatean fuzzy ELECTRE method
Authors: Milovanović Vladimir , Aleksić Aleksandar , Milenkov Marjan , Sokolović Vlada
Published: March 2024

The paper aims to present a hybrid model for measuring the performance of business processes in complex organizations based on the subjective decision-making of expert teams. The subject of the research is finding ways to measure, analyze and improve the key performance indicators (KPIs) process. Obtaining the values of KPIs, which reflect the real state of the process, creates a basis for their ranking, i.e. insight into KPIs that are extremely important for the process as well as KPIs that are of lesser importance, but as such are not excluded from consideration because they are necessary for the beginning, realization and completion of the process. The model was compiled through five phases and was tested through a case study in a real business organization, which deals with the maintenance of complex combat systems. The obtained results helped the management to take certain measures in order to improve the performance of the maintenance process. In the model, it is proposed to form two expert teams, which make assessments based on experience and express them in linguistic terms according to a predefined scale. Modeling of linguistic expressions is realized using intuitive fuzzy sets of a higher order, more precisely Fermatean fuzzy sets (FFS). Selecting KPIs, decomposing the process into sub-processes and assessing the relative importance of sub-processes is carried out by one team of experts, while another team carries out the assessment of KPIs at the level of each sub-process. Determining the relative importance of sub-processes is realized using the Delphi method extended to FFS while reaching a consensus. The measurement of process performance, i.e. the value of KPIs, is realized using Multi-Criteria Group Decision-Making (MCGDM), such as the ELECTRE method extended with FFS. The sensitivity analysis of the developed model is realized by uncertainty modeling with q-rung orthopair fuzzy sets.
Does Intellectual Capital Efficiency Translate in the Post-pandemic Era for Islamic Banks in Indonesia?
Authors: Ibrahim Azharsyah , Rosniar Rosniar
Published: March 2024

PURPOSE: This study aims to identify the key determinants of financial performance in Islamic banks, specifically focusing on the Financing to Deposit Ratio (FDR) and Capital Adequacy Ratio (CAR). Additionally, it explores the applicability of these determinants in a post-pandemic environment.

DESIGN/METHODOLOGY/APPROACH: The research utilizes data from two prominent Indonesian Islamic banks, Bank Syariah Indonesia (BSI) and Bank Muamalah Indonesia (BMI), for the pre-pandemic period (2016-2020). Ordinary Least Squares (OLS) regression analysis is employed to investigate the influence of Human Capital Efficiency (HCE), Structural Capital Efficiency (SCE), and Capital Employed Efficiency (CEE) on both FDR and CAR.

FINDINGS: The model analyzing determinants of FDR explains a significant portion (48.99%) of the variance. Interestingly, only Capital Employed Efficiency (CEE) exhibits a statistically significant negative relationship with FDR. Conversely, the model for CAR lacks a statistically significant fit.

ORIGINALITY: This research contributes by examining the impact of intellectual capital components (HCE, SCE, CEE) on financial performance ratios (FDR, CAR) within the Indonesian Islamic banking context.

RESEARCH LIMITATIONS: The study is limited to data from two Indonesian banks during a specific timeframe. Further research with a broader sample size and encompassing the post-pandemic era would enhance generalizability.

PRACTICAL IMPLICATIONS: The findings offer valuable insights for stakeholders in Indonesian Islamic banking, particularly regarding the importance of efficient capital utilization for managing financing activities and maintaining healthy FDR levels.

SOCIAL IMPLICATIONS: By enhancing the financial performance of Islamic banks, this research indirectly contributes to the development of a more robust Islamic financial system that caters to the ethical and social banking needs of the community.
Reconfigurable Intelligent Surface Constructing 6G Near-field Networks
Authors: Zhao Yajun
Published: March 2024

Near-field propagation, especially when facilitated by reconfigurable intelligent surface (RIS), has become a significant field of inquiry in recent times. Despite this, there remains a noticeable absence of an exhaustive literature review concerning RIS-empowered near-field technologies. This paper seeks to bridge this knowledge gap by presenting a concise overview of near-field principles, coupled with a systematic examination of the latest advancements in RIS-driven near-field technologies. It specifically concentrates on three pivotal areas: the establishment of pervasive near-field wireless propagation environments through RIS, the introduction of novel near-field frameworks for 6G networks via RIS, and the array of challenges inherent in RIS-based near-field technologies. The objective of this technical review is to bolster the progression and innovative exploration in the realm of RIS-oriented near-field technologies.
Communicating About Water in the Floridan Aquifer Region: Part 1—What Do People Know About Water Science?
Authors: Hundemer Sadie , Ramadan Shenara
Published: March 2024

Meaningful engagement by the public in the water decisions that affect their lives requires basic scientific knowledge, such as where their water comes from, the factors that affect quality and availability, and the challenges that influence water supply. A 2020 study suggests that Florida and Georgia residents lack fundamental knowledge about their water resources, including regional water processes, including its challenges, and policies. This is the base information that would enable a person to competently participate in water discussions and make citizen-level voting decisions on topics related to the Floridan aquifer. The knowledge deficits identified in the study are areas on which water communicators can build the public’s water science comprehension and, thereby, support increased public engagement. The findings also suggest the level of water science complexity that the public is equipped to understand.
Social justice in the context of conflict theory
Authors:   L.N. Gumilyov Eurasian National University, Shakirov S.
Published: March 2024

Conflict in the framework of conflictological theory is seen as a struggle for values and social status, power, material and spiritual benefits. In the case of an adequate solution to the conflict, the flexibility and stability of the social system to conflicts of this kind increases. At certain moments, the demand for justice becomes a mobilizing factor in the political struggle. It is known that social justice is the basic principle of a stable, peaceful life in a particular state and between countries. The foundations of social justice are addressed to overcoming the restrictions and barriers that exist between people of different age, religious and confessional, racial, ethnic, cultural and civilizational affiliation, in front of people because of their age, racial, ethnic, religious affiliation, culture, differences between people with disabilities opportunities and healthy individuals. Aristotle defined the existence of two forms of special (private) justice, and these forms are the fundamental constructive element of all subsequent theories: a) distributive justice; b) equalizing or retributive justice. These two forms are ways of distributing goods, statuses, values. The concept of social justice in historical terms is conceptualized as having inspired progressive forces to politically struggle for transformation in favor of a more justified distribution of income and closer equality of opportunity, on the contrary, reactionary forces turn to periods of their dominance and privilege as well-founded times of prosperity, having their own idea of justice.
The role of women in Kazakh and Turkish death rituals
Authors:   L.N. Gumilyov Eurasian National University, Akhmetova I.
Published: March 2024

This article embarks on a comparative journey into the distinctive death rites and rituals observed within the Kazakh and Turkish cultural landscapes. By illuminating the remarkable parallels and divergences that characterize these two societies, it provides a unique insight into the profound ways in which death is understood, celebrated, and mourned. The article investigates cultural, historical, and religious influences that have shaped the death rituals of both Kazakh and Turkish communities. It delves into the symbolic elements, funeral ceremonies, burial practices, and commemorative traditions that define these cultures’ approaches to death and the afterlife. Furthermore, this study examines the evolution of death rites in these societies, exploring how factors such as modernization, globalization, and shifting religious beliefs have influenced these age-old practices. It also considers the roles of gender, family structures, and community involvement in these rituals. By comparing these two cultures, the article aims to shed light on the unique ways in which the Kazakh and Turkish communities have preserved their cultural identities while adapting to the challenges of the contemporary world. The interplay between tradition and innovation within these death rites underscores the resilience and adaptability of these rich cultural heritages. Ultimately, this article not only offers a cross-cultural understanding of death rites and rituals but also provides a glimpse into the enduring significance of these practices in maintaining the social fabric and spiritual well-being of Kazakh and Turkish communities. It highlights the importance of cultural preservation in a globalized world and the enduring connection between people and their traditions, even in the face of changing times
Religious «Nones», secularity and virtuality: philosophical analysis
Authors:   Al-Farabi Kazakh National University, Lifanov S.
Published: March 2024

The processes of political transformation of modern society and socio-economic vicissitudes and crises have had a significant impact on the change in religiosity of the postmodern era. Secular trends and research are being replaced by the theory of post-secularism, based not only on an assessment of the significance of religion, but also on the search for criteria for studying changes in the content of religious consciousness. The article presents an overview and assessment of the main provisions of the classical theory of secularism, which, according to the authors, are the basis for the development of approaches to understanding the processes of transformation of religion under the influence of virtualization. Modern societies are characterized by a significant change in the structure of individual religious consciousness, which becomes segmental, pluralistic and syncretic, combining elements of religious beliefs, scientific ideas, everyday and mythological consciousness and much more. Unambiguous forms of religious identity are, according to researchers, quite rare, especially in Western societies. The combination of elements of traditional religion, modern mythology, and mysticism provides, first of all, the various social needs of the “user”. The article reveals questions about the specifics of post-secularism in the context of the expanding capabilities of the modern information environment and trends in changes in religion as a social institution. These questions generally lead to the question of so-called “non-religion studies”, as research areas that seek to go beyond the conceptual binary of religion and non-religion to reflect new forms of religious consciousness
Scientific Research and Ethical Principles: Contemporary Debates
Authors:   L.N. Gumilyov Eurasian National University, Sandybaeva U.
Published: March 2024

This article addresses debates surrounding ethical issues and dilemmas faced by scientists conducting research with human participants. Through the analysis of different stories of abuse, the research shows how ethical principles, codes, guidelines, and organizations emerged. Although various ethical rules and guidelines provide significant recommendations today, controversies in research and practice remain. In addition, the increasing process of formalizing ethical principles is causing concern among researchers. A critique of the processes of bureaucratization in the field of ethical regulation of research and practice is presented using the example of Canadian experience. Drawing on various ethical codes and recommendations, current principles for ethical research involving human subjects are identified. Risks are discussed, including those related to social sciences. The literature review demonstrates which issues are becoming more pressing today and how professional practitioners face ethical dilemmas and risks. It is concluded that the complex dilemmas that arise in research practices require interdisciplinary discussions and the introduction of research ethics courses in various academic and other institutions. Good professional practice in resolving ethical dilemmas should be taken into account when developing and improving one's own national guidelines and codes. We believe the article will contribute to broadening discussions about research ethics and professional practice.
ВАЖЛИВІСТЬ ДОКАЗОВОЇ БАЗИ НА ПІДГОТОВЧОМУ ЕТАПІ: ВЗАЄМОДІЯ СТОРІН ТА СУДУ В ПРОЦЕСІ ЗБИРАННЯ ДОКАЗІВ У ЦИВІЛЬНИХ СПРАВАХ
Authors: ГРЕКУ Андрій
Published: March 2024

В статті досліджено важливість доказової бази на підготовчому етапі розгляду судової справи, окремі аспекти взаємодії сторін та суду в процесі збирання доказів у цивільних справах. В національному законодавстві не вироблено єдиного підходу до трактування терміну «докази». Наявні нормативно закріплені визначення терміну «докази» різняться між собою в основному з урахуванням специфіки виду судочинства, або ж несуттєвими відмінностями. Вказано, що докази для того, щоб вони були прийняті судом повинні відповідати ознакам: належності (тобто містити в собі дані, які стосуються предмета доказування); допустимості (тобто одержаних в легітимному порядку); правдивості (тобто такими, на підставі яких можна встановити дійсні обставини справи); достатності. Запропоновано термін «доказова база на підготовчому етапі у цивільних справах» розглядати як сукупність доказів, які потенційно можуть бути надані до суду або витребувані судом або вже надані/зібрані та містяться в матеріалах цивільної справи, на підставі яких суд встановлює наявність або відсутність обставин (фактів), що обґрунтовують вимоги й заперечення учасників справи, та інших обставин, які мають значення для вирішення цивільної справи, а також відповідають ознакам належності; допустимості; правдивості; достатності. Обґрунтовано важливість доказової бази на підготовчому етапі у цивільних справах через призму особливостей судового процесу, що знаходять вираження першочергово у строках, виокремленні завдань, які вирішуються на цій стадії, обсязі прав та обов’язків сторін та суду. Вказано, що взаємодія сторін та суду в процесі збирання доказів у цивільних справах повинна ґрунтуватись на принципах: поваги один до одного; відповідальності; вжитті усіх можливих дій, передбачених чинним законодавством, спрямованих на формування належної доказової бази.
STAGES OF FORMING ENTERPRISE STRATEGY BASED ON THE LOVEMARK CONCEPT
Authors:   National University of ", Havrylenko Tetiana ,   Kyiv-Mohyla Academy", Banzar Monika ,   National University of "Kyiv-Mohyla Academy"
Published: March 2024

The article explores the formation of a company's strategy based on the Lovemark concept. It analyses the origin of the Lovemark concept, presents three key elements, and elucidates how Lovemark as an idea relates to consumers' sense of belonging, affection, and shared values. The implications of applying the Lovemark concept in modern business are examined, outlining the key stages of developing such a strategy and providing examples of its effectiveness. Special attention is given to analysing the impact of the strategy on consumer loyalty and enhancing their love, trust, and engagement with the brand and its activities. It is demonstrated that the research findings can be valuable for companies aiming to solidify their position in the market, increase brand recognition, and earn the trust and affection of their consumers.
AIRLINES’ CORPORATE CULTURE UNDER MODERN CONDITIONS
Authors:   State University of Infrastructure and Technologies, Ovcharyk Stanislav , Pakhota Nataliia ,   State University of Infrastructure and Technologies
Published: March 2024

Airlines are required to not only adapt to shifting market conditions and technological improvements, but also to rethink and construct their own corporate culture in order to stay up with the current stage of growth in the aviation industry, which is facing significant upheavals. This is vital in order for airlines to be able to keep up with the current stage of development. In addition to the pandemics-specific challenges that were brought on by COVID-19, and the war in Ukraine, the concurrent socioeconomic crisis brought about an additional focus that was of utmost significance. In order to determine the influence that the pandemic of the coronavirus disease and the war have had on the management of the corporate culture of airlines, the goal of this essay is to investigate the impact. The aim of this paper is to analyze the ways in which corporate culture influences many aspects of airline operations. These aspects include the internal interaction and motivation of employees, as well as the outward image and communications with consumers. Tools for managing airline corporate culture during a crisis include communication platforms, psychological support programs, skills training, leadership development initiatives, and airline employee opinion and feedback tools. These tools help airlines adapt to change during a crisis, maintain a healthy corporate culture, and support their employees. Setting clear goals and regular monitoring of performance indicators are important for timely adaptation of corporate culture management strategies. It is appropriate to use the KPI system of airlines for the development of corporate culture in the conditions of modern challenges. The KPI system is offered as follows: KPI 1: Level of employee engagement; KPI 2: Reducing the level of stress among employees; KPI 3: Level of training and development of employees; KPI 4: Improvement of leadership skills in management; KPI 5: Improvement of corporate culture based on feedback. There is a possibility that the study will be useful to academic scholars, analysts, and businesses. Potential route for further exploration, regarding the development of corporate culture in the face of both exogenous and endogenous unpredictability, is the digitization of the key performance indicator system that is adopted by airlines.