bluuebunny/crossref_metadata_2025 huggingface dataset:
Соціальна робота у глобальному та національному вимірах
Authors: Богачев Роман
Published: May 2024

У збірнику містяться матеріали досліджень науковців, науково-педагогічних і педагогічних працівників, фахівців-практиків, громадських активістів, здобувачів вищої освіти усіх рівнів, що розкривають науково-практичне обґрунтування розвитку соціальної роботи як галузі наукових знань та соціальної практики, результати досвіду і напрацювання ефективних методів і технологій соціальної роботи з різними категоріями населення у часи зовнішніх і внутрішніх викликів та загроз для України. Означено перспективи розвитку соціальної роботи як професії у глобальному та національному вимірах.
Збірник призначено для науковців, викладачів, фахівців-практиків і здобувачів галузі знань 23 «Соціальна робота» та суміжних галузей знань, предметом вивчення яких є людина у її взаємозв’язку зі світом, соціальним середовищем, таких як соціальна педагогіка, психологія, соціологія, право, філософія тощо.
Тематичні напрями роботи конференції:1. Теоретико-методологічні засади та стратегії розвитку соціальної роботи в умовах сучасних викликів і загроз.2. Актуальні питання реформування соціальної політики України в контексті євроінтеграційних процесів.3. Інноваційні підходи та практики надання соціальних послуг у територіальній громаді.4. Сучасні практики волонтерської діяльності в Україні та світі.5. Соціально-психологічні засади подолання травми війни: відновлення, соціальна адаптація та підтримка військових, учасників бойових дій, ветеранів і цивільного населення.6. Соціальне проєктування як технологія розв’язання проблем вразливих категорій населення, які постраждали від війни.7. Інновації в галузі спеціальної та інклюзивної освіти.
Редакційна колегія
Голова:  Богачев Р. М., канд. філос. наук, доц., зав. каф. філософії КПІ ім. Ігоря Сікорського.
Секретар: Боковець О. І., д-р філософії із психології.
Члени редколегії:  Кальченко Л. В., д-р пед. наук, проф.,Руденко Т. П., канд. філос. наук, доц.,Школяр Л. В., канд. пед. наук, доц.
SIGNIFICADOS TEXTUAIS EM NOTÍCIA E EDITORIAL SOBRE O INCÊNDIO NO NINHO DO URUBU
Authors: Schlee Magda Bahia , Bispo Bruna Maria Vasconcelos Trindade
Published: May 2024

Este artigo tem como objetivo apresentar uma reflexão acerca da estrutura gramatical Tema nos gêneros notícia e editorial de jornal, seguindo a orientação da Linguística Sistêmico-Funcional, no âmbito da metafunção textual. Sob essa perspectiva, são examinados os tipos de Tema em uma notícia e um editorial do jornal O Globo sobre a tragédia no alojamento do Flamengo, ocorrida em 2019. A partir da apreciação das estruturas temáticas nesses textos, pretende-se demonstrar que, contrastivamente, ocorrem mais Temas Simples no primeiro, enquanto, no segundo, contabilizam-se mais casos de Temas Múltiplos, comprovando que os propósitos comunicativos dos diferentes gêneros exercem influência decisiva na realização temática dos textos.
Machine Learning Algorithms that Emulate Controllers based on Particle Swarm Optimization - An Application to a Photobioreactor for Algae Growth
Authors: Mînzu Viorel , Arama Iulian , Rusu Eugen
Published: May 2024

Some optimal control problems need metaheuristics in searching for the optimal solution, especially when the process has certain characteristics like the Photobioreactor for Algae Growth (distributed parameter, nonlinearities, etc.). Particle Swarm Optimization (PSO) algorithms within control structures are a realistic approach; their task is often to predict the optimal control values working with a process model (PM). Owing to numerous numerical integrations, there is a big computational effort that is reflected in a large controller execution time. The authors propose to replace the PSO predictor with a machine learning model that has “learned” the quasi-optimal behavior of the couple (PSO, PM); the training data is obtained through closed-loop simulations over the control horizon. The new controller should preserve the process’s quasi-optimal control. In identical conditions, the process evolutions must also be quasi-optimal. The multiple Linear Regression and the Regression Neural Networks were considered as predicting models. The paper first proposes algorithms for collecting and aggregating data sets for the learning process. Algorithms for constructing the machine learning models, implementing the controllers, and closed-loop simulations are also proposed. The simulations prove that the two machine learning predictors have learned the PSO predictor’s behavior such that the process evolves almost identically. The resulting controllers’ execution time drastically decreased while keeping their optimality.
Exploring Urban Lighting Design Effect on Citizens’ Emotions through the Application of Kansei Methodology
Authors: Ormeño Blanco Julissa Marina , Arranz Beatriz
Published: May 2024

Outdoor lighting design is a multidisciplinary topic that involves, among other aspects, design, energy savings, protection of nocturnal biodiversity and profitability, all of which are important functional and regulatory requirements. However, they do not necessarily consider user needs, which make perception and emotional response difficult parameters in the lighting design process. The studies carried out on lighting and its impact on emotions have mainly been done indoors. The objective of this work is to propose a methodology to evaluate emotional response to the illuminated nocturnal urban space with the purpose of providing knowledge to create emotionally efficient luminous spaces that improve people's perception and well-being. The instrument used was the survey (online questionnaires), based on Kansei engineering, created to incorporate the emotional variable in product design. The research was carried out with participants from Peru, Spain, and Germany. The results collected the reaction of the participants to different types of night-time luminous spaces presented, which contributes to a better understanding of user needs and activities regarding the space. This knowledge is intended to help designers meet their expectations.
Molecular Epidemiology and Spatial Distribution of Cat Rabies Cases in Yucatan, Mexico
Authors: Salgado-Cardoso Aurea Mariana , Olave-Leyva José Ignacio , Morales Ivonne , Aguilar Setién Alvaro , López-Martínez Irma , Aréchiga Ceballos Nidia
Published: May 2024

The growing population in Yucatan has led to the expansion of construction in the Mayan jungle for tourist spaces, residential areas, and agriculture. Recently, rabies cases in cats (Felis catus) have increased. This study aimed to perform the antigenic and genetic characterization of the RABV and to try to identify factors contributing to the increased transmission of rabies virus from wildlife to cats in the State of Yucatan. The ArcGIS software was employed to generate maps depicting the geographic locations of rabies outbreaks in cats. A mixed-effects Poisson regression model was applied to investigate the association between cat rabies cases and sociodemographic and ecological variables. A total of nine feline rabies cases occurred, three antigenic variants were detected: RVV1 (n=1); (RVV3) (n=1), and the canine-originated atypical variant (n=7). Rabies cases were spatially distributed at the urban-jungle interface, which may favor contact between cats and wildlife. No statistically significant associations with sociodemographic/ecological variables were observed. Urban areas with low (0-2%) to moderate (2-4%) changes in land cover showed a substantial increase in the probability of feline rabies cases. This study highlights the concerning resurgence of rabies infections in cats, emphasizing the looming threat of its reintroduction in dogs should vaccination rates diminish. The genetic affinity between the atypical variant and the canine virus underscores the urgent need for vigilance in maintaining high vaccination coverage across all susceptible species.
Inversion of Left Ventricular Axial Shortening: In Silico Proof of Concept for Treatment of HFpEF
Authors: Goetz Wolfgang A. , Yao Jiang , Brener Michael , Puri Rishi , Swaans Martin , Schopka Simon , Wiesner Sigrid , Creutzenberger Marcus , Sievert Horst , Kassab Ghassan S.
Published: May 2024

Left ventricular (LV) longitudinal function is mechanically coupled to the elasticity of the ascending aorta (AA). The pathophysiologic link between stiff AA and reduced longitudinal strain and subsequent deterioration in longitudinal LV systolic function is likely relevant in heart failure with preserved ejection fraction (HFpEF). A proposed therapeutic effect of freeing the LV apex and allowing for LV inverse longitudinal shortening was studied in-silico utilizing Living Left Heart Human Model (Dassault Systémes Simulia Corporation). LV function was evaluated in a model with A) Elastic AA; B) Stiff AA; and C) Stiff AA with free LV apex. The cardiac model simulation demonstrated that freeing the apex caused inverse LV longitudinal shortening that can abolish the deleterious mechanical effect of a stiff AA on LV function. A stiff AA and impairment of LV longitudinal strain are common in patients HFpEF. The hypothesis-generating model strongly suggests that freeing the apex and inverse longitudinal shortening may improve LV function in HFpEF patients with a stiff AA.
Predicting Melanoma Immunotherapy Efficacy: Neural Network Models with Gene Expression and Clinical Data
Authors: Sunkara Praveena
Published: May 2024

Immunotherapy, particularly Immune Checkpoint Blockade (ICB), has demonstrated significant efficacy in treating melanoma in recent years. However, accurately predicting treatment success and avoiding ineffective therapies remains an unresolved challenge. Therefore, this study aims to develop statistical models utilizing neural networks to forecast the effectiveness of immune checkpoint therapies for melanoma patients. Our models primarily rely on Artificial Neural Networks (ANN) to anticipate both Overall Survival (OS) and Progression-Free Survival (PFS) among melanoma patients undergoing anti-CTLA4 and anti-PD1/anti-PDL1 therapy. We incorporate gene expression data, measured in Transcripts per Million (TPM), derived from bulk tumor RNA-sequencing datasets. Additionally, clinical variables such as gender, age, and treatment type are factored into our analysis. The ANN underwent optimization to attain the highest feasible precision in anticipating the predetermined survival outcome. Issues stemming from high-dimensional data, such as overfitting, were tackled through regularization and feature selection methods. Consequently, the ANN-based model incorporating feature selection exhibited the capacity to forecast survival (PFS) in response to ICB therapy with a maximal precision of 86%. Conversely, the ANN lacking feature selection but incorporating regularization achieved accuracies of up to 72% for PFS and 71% for OS, correspondingly. In order to confront the challenge posed by limited patient samples and to assess replicability, the model underwent training and validation based on the amalgamation of all five datasets. However, this amalgamation failed to enhance predictive performance, necessitating further investigations.
Vendor Partnerships in Sustainable Supply Chain in Indian Electric Two-Wheeler Industry – A Systematic Review of Literature
Authors: Achal Dilip Kumar , GS Vijaya
Published: May 2024

UN Convention on Climate Change 2015 mandates reducing carbon footprint to reduce global warming. Considering environmental concerns, Electric Vehicles (EVs) spearhead the move towards green mobility. Niti Aayog (Indian Government) has envisaged an “EV only” scenario by 2030. Two wheelers dominate the Indian automobile industry with almost 80% market share. With the transportation sector accounting for 70% of world’s fossil fuels use, the need for a sustainable supply chain which addresses environment, economy and societal issues, has, of late, aroused interest in the business academic community and industries. Sustainability in business decision-making promotes efficiency, controls expenditure, enhances customer delight, increases sales and market share, optimises risk management strategy, and promotes profitability. This study intends to develop a conceptual framework after examining research gaps in sustainable supply chain management (SSCM) and allied topics like sustainability, green supply chain management, and vendor partnerships through collaborative efforts. Even the UN vide Goal 9 of sustainable goals pertaining to industry, highlights the importance of this framework.
Advancements in Bioengineering for Descemet Membrane Endothelial Keratoplasty (DMEK)
Authors: Zwingelberg Sarah Barbara , Karabiyik Gizem , Gehle Paul , von Brandenstein Melanie , Eibichova Sabina , Lotz Christian , Groeber-Becker Florian , Kampik Daniel , Jurkunas Ula , Lang Gregor
Published: May 2024

Corneal diseases are the third leading cause of blindness worldwide. There are numerous causes of corneal blindness, and the common treatment for this condition often involves corneal tissue transplantation, such as Descemet's Membrane Endothelial Keratoplasty (DMEK). DMEK has been established as the preferred surgical technique for the treatment of corneal endothelial disorders. The success of DMEK depends largely on the quality of the donor endothelial cells and the trans-plantation procedure. However, the scarcity of suitable donor tissue and the sensitivity of endo-thelial cells pose a major challenge. In recent years, tissue engineering has attracted attention as potential solutions to these problems. This review offers an outline of the current landscape of DMEK in the context of bioengineering, exploring various methodologies, advancements, and fu-ture prospects.
Lake Floor Recovery and Preliminary Habitat Restoration Interventions in the Shallow Waters of the Albano Lake. The AI Role in Large Datasets Management for Environmental Assessment and Smart Governance Purposes
Authors: Gaglioti Martina
Published: May 2024

As coastal and marine ecosystems, even the inland waters can be deeply affected by human-driven impacts. Consequently, the internal waters belonging to closed or semi-closed basins due to their hydrographic and morphological conditions can be subject to even more dramatic consequences in terms of conservation and overall ecosystem functioning maintaining. Despite the Albano Lake is listed among the Natura 2000 network sites (IT6030038), several elements of its landscape complexity have already experimented clearly visible alterations: from certain landscape features alterations to the loss of some iconic vegetal and animal species characterizing the lake environment in the past. Therefore, a virtuous commitment awaits us and we have the moral duty of acting in order to restore such degraded habitats. Each environmental restoration intervention and/or clean up session can be considered relevant in order to give back the right dignity to one of the most naturalistically relevant environments of Central Italy. For each field session a plethora of data can be acquired both onshore and underwater by diving operators. Therefore, the data management of a huge temporal and spatial variability can be remarkable. It can be made easier relying on artificial intelligence (AI) supporting geospatial databases for GIS analysis to be run for their role as decision-supporting tools. On this perspective AIs can be used to model environmental systems, greatly helping to reduce use conflicts and human-driven impacts, whilst understanding the ecological characteristics and related ecosystem functioning.
Size Matters: Rethinking Hertz Model Interpretation for Cell Mechanics Using AFM
Authors: Mendová Katarína , Otáhal Martin , Drab Mitja , Daniel Matej
Published: May 2024

Cell mechanics is a biophysical indicator of cell state, such as cancer metastasis, leukocyte activation, and cell cycle progression. Atomic force microscopy (AFM) is a widely used technique to measure cell mechanics, where the Young modulus of a cell is usually derived from the Hertz contact model. However, the Hertz model assumes that the cell is an elastic, isotropic, and homogeneous material and that the indentation is small compared to the cell size. These assumptions neglect the effects of the cytoskeleton, cell size and shape, and cell environment on cell deformation. In this study, we investigated the influence of cell size on the estimated Young’s modulus using liposomes as cell models. Liposomes were prepared with different sizes and filled with phosphate buffered saline (PBS) or hyaluronic acid (HA) to mimic the cytoplasm. AFM was used to obtain the force indentation curves and fit them to the Hertz model. We found that the larger the liposome, the lower the estimated Young’s modulus for both PBS-filled and HA-filled liposomes. This suggests that the Young modulus obtained from the Hertz model is not only a property of the cell material, but also depends on the cell dimensions. Therefore, when comparing or interpreting cell mechanics using the Hertz model, it is essential to account for cell size.
Simultaneous Life Cycle Assessment and Process Simulation for Sustainable Process Design
Authors: Miyoshi Simone de Carvalho , Secchi Argimiro R.
Published: May 2024

While there are software tools available for assisting to conduct the Life Cycle Assessment (LCA), such as OpenLCA, these tools lack integration with process design, simulation and optimization software. As LCA has critical role in sustainable product design, it is presented in this work a platform called EMSO_OLCA, which integrates the LCA provided by OpenLCA into the Environment for Modeling, Simulation, and Optimization (EMSO). EMSO_OLCA incorporates a database of environmental impact assessment methodologies from OpenLCA and aligns to the principles of LCA outlined in ISO 14040 and ISO 14044. Validation tests were conducted to compare the results obtained by the LCA of sugarcane ethanol using OpenLCA and EMSO_OLCA, revealing a high level of agreement. The average relative error was 0.045%, indicating a negligible discrepancy between the tools. Besides, it took only 0.3 seconds for calculation, which is desirable for using with process systems engineering tools. A second case study was applied to a steam and bioelectricity production from the combustion of sugarcane bagasse and straw in a combined heat and power system. The results show the integration of LCA with simulation and sensitivity analysis tools, thus contributing for supporting sustainable decision-making processes. EMSO_OLCA bridges the gap between LCA and process engineering, enabling a holistic approach to sustainability, design and implementation of environmentally friendly solutions.
Optimizing Potato Yield through the Application of the Supporter Biostimulant
Authors: Piotr Barbaś , Sawicka Barbara , Pszczółkowski Piotr , Hameed Talal saeed , Farhan Alaa K.
Published: May 2024

Seed potato treatment is vital for plant protection, yield enhancement, and product quality. In the conducted research, the plant biostimulator Supporter was applied to evaluate its impact on potato yields. Field studies were conducted in Northeastern, Northwestern, Western, and Southwest Poland from 2015 to 2017, using a randomized complete block design with a split-plot arrangement. The use of seed treatment technology with the Supporter product resulted in increased overall and commercial potato yields and improved yield tuber structure compared to traditional cultivation methods without tuber treatment before planting. Conclusion: The application of the plant biostimulator Supporter in seed potato treatment technology brings significant benefits, including, increased potato yield and improved yield structure. The cultivation location significantly influences potato yield and tuber structure. Understanding these differences can aid in better adapting cultivation practices and selecting varieties to specific local conditions, potentially leading to increased potato crop productivity. In terms of efficiency and yield quality, further research into its application in agricultural practice is recommended, which may contribute to further increasing potato production efficiency and quality. Developing more ecological and efficient farming practices can help meet society's growing food needs.
Cocaine, Amphetamine or Titin - The Culprit behind Dilated Cardiomyopathy: A Case Series of Three Cases and Literature Review
Authors: Panjiyar Binay , Changlani Nikita , Jha Saroj , Kaleem Safa , Sharma Grishma , Wasim Khan Sanam , Omar Khan Mohammed
Published: May 2024

Nonischemic dilated cardiomyopathy (DCM) is a complex cardiovascular condition often characterized by genetic pathogenesis. Comprehensive genetic testing has become a crucial aspect of DCM diagnosis and management, offering insights into prognosis and the identification of at-risk individuals. This case series and mini literature review examines the diagnostic and therapeutic dimensions of DCM, emphasizing the role of genetic evaluation. We delve into distinct genetic pathways associated with DCM and their pathogenetic mechanisms, emphasizing the evolving significance of genetic markers, particularly in cases where arrhythmia risk is heightened. The historical reliance on cardiac morphology to subtype cardiomyopathies is being complemented by the identification of genetic variants, further refining DCM subtypes, and aiding in clinical management.The giant sarcomere protein, titin, is a pivotal determinant of cardiomyocyte stiffness and plays a crucial role in cardiac strain sensing. Titin's extensive size and complexity make it susceptible to dysregulation, which has far-reaching consequences in cardiac disorders. This case series with a literature review explores the molecular mechanisms governing titin-based forces in both health and disease. It highlights the influence of isoform diversity and post-translational modifications on myocardial stiffness and contractility. In the context of cardiac diseases, we discuss how titin properties are altered, focusing on changes in titin stiffness and protein quality control. Notably, we address the pathomechanisms associated with truncation in the titin gene (TTN) in human cardiomyopathy, shedding light on potential therapeutic approaches for conditions such as HFpEF and TTN-truncation cardiomyopathy.This comprehensive understanding of DCM and Titin’s role in cardiac physiology and pathology provides a solid foundation for addressing cases like that of our patients, who were presented with features of heart failure and arrhythmias. Despite immediate and extensive resuscitative measures, the patient's protracted response to the treatment raised questions about the potential underlying genetic factors contributing to their clinical presentation. These cases underscore the importance of genetic evaluation in unraveling the complexity of cardiomyopathies, ultimately enhancing our ability to manage and treat such challenging cases.
Melatonin Takes the Edge off Dexamethasone-Induced Testicular Damage via Modulating Antioxidative Enzymes and Interactive Dialogues between Androgen (AR) and Melatonin Receptors (Mt1/Mt2)
Authors: Patel Sunita , Rai Seema
Published: May 2024

The present study aims to elucidate the effect of melatonin (MEL) on dexamethasone (DEX)-induced reproductive impairments in rats. Rats were procured and acclimatized with adequate food and water ad libitum. Twenty-four rats were divided into four groups (six in each) of Control, DEX (70µg/100g bw), DEX plus MEL, and MEL (200µg/100g bw) for 21 days. After completion, rats were sacrificed, and testes were dissected, weighed, and processed for biochemical, and receptor expression. Serum was collected for hormonal assay. DEX-treated rats showed a significant increase in lipid peroxidation (TBARS), a decrease in weight of the body and testes, and the level of antioxidative enzymes (superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPX), glutathione oxidase (GSH), glutathione reductase (GR), glucose 6-phosphate dehydrogenase (G6PDH), glutathione S-transferase (GST)), total cellular protein content, serum testosterone, corticosterone, LH, FSH, melatonin levels, AR, MT1, and MT2 receptor expression. Marked cellular alterations were noted in the testis histology of the DEX group. Melatonin treated in DEX rats showed recovery and restoration in gravimetric, serum hormonal, biochemical parameters, receptor expression, and cellularity of testes. Therefore, findings suggest that melatonin improved defence against DEX-induced testicular damages suggesting its therapeutic potential for the management of male reproductive health.
Enhancing Question Answering Systems with Rephrasing Strategies: A Study on BERT Sensitivity and Refinement Techniques
Authors: Sunkara Praveena
Published: May 2024

In this study, we aim to explore whether rephrasing enhances the performance of advanced question answering systems in terms of accuracy. Initially, we analyze the effectiveness of Bidirectional Encoder Representations from Transformers (BERT)—a widely used pre-trained language model—when presented with rephrased questions and documents containing distracting details. Our findings reveal that BERT exhibits excessive sensitivity to such instances, prompting us to investigate potential strategies for mitigating this sensitivity. To address the observed decline in performance, we propose a refinement approach for BERT, incorporating techniques such as data augmentation and multitask learning. Specifically, given a question and its context, we generate a series of paraphrases through back-translation. Alongside minimizing the loss between the predicted answer distributions for the original questions—we also minimize the supervised loss associated with the augmented questions. Furthermore, we introduce an auxiliary objective aimed at minimizing the unsupervised loss between the answer distributions of the original and augmented questions. Notably, this auxiliary loss is unsupervised, as it does not directly rely on labels corresponding to the augmented examples. To compute this unsupervised loss, we employ measures such as symmetric Kullback-Leibler divergence and the Jensen-Shannon distance, serving as regularization techniques for the model. The findings revealed that the supervised model exhibited superior performance compared to both the original and our proposed model. However, our proposed model demonstrated a nearly 2% enhancement in both Exact Match (EM) and F1 scores when tested on a paraphrased development set that we formulated. This suggests the potential effectiveness of our proposed approach in enhancing model accuracy and performance.
Adaptive Evolution Signatures in Prochlorococcus: ORFeome Resources and Insights from Comparative Genomics
Authors: Sarah Daakour , Nelson David R. , Fu Weiqi , Jaiswal Ashish , Dohai Bushra , Alzahmi Amnah Salem , Koussa Joseph , Huang Xiaoluo , Shen Yue , Twizere Jean-Claude , Salehi-Ashtiani Kourosh
Published: May 2024

Prochlorococcus, a cyanobacteria genus of the smallest and most abundant oceanic phototrophs, encompasses ecotype strains adapted to high-light (HL) and low-light (LL) niches. To elucidate the adaptive evolution of this genus, we analyzed 40 Prochlorococcus marinus ORFeomes, including two cornerstone strains, MED4 and NATL1A. Employing deep learning with robust statistical methods, we detected new protein family distributions in the strains and identified key genes differentiating HL and LL strains. HL strains harbor genes (ABC-2 transporters) related to stress resistance, such as DNA repair and RNA processing, while LL strains exhibit unique chlorophyll adaptations (ion transport proteins, HEAT repeats). We report variable, depth-dependent endogenous viral elements in the 40 strains. We constructed the ORFeomes of MED4 and NATL1A covering 99 % of the annotated protein-coding sequences of the two species, totaling 3976 cloned, sequence-verified ORFs. These comparative genomics analyses, paired with MED4 and NATL1A ORFeomes, will facilitate future genotype-to-phenotype mappings and systems biology exploration of Prochlorococcus ecology.
Численное моделирование усталостного разрушения на основе нелокальной теории циклической повреждаемости
Authors: Burago Nikolai Georgievich , Nikitin Il'ya Stepanovich , Nikitin Alexander D. , Stratula B A
Published: May 2024

На основе мультирежимной модели усталостного разрушения предложен численный метод расчета кинетики разрушения, возникновения и развития усталостных «квазитрещин». Для образцов с надрезами, имеющими разные радиусы закругления, рассмотрены процессы высокочастотного циклического растяжения-сжатия с разными коэффициентами асимметрии цикла. Сходимость численных решений для процессов возникновения и развития квазитрещин, а также для расчета долговечности обеспечена применением нелокальной функции повреждаемости вблизи зон разрушения. В вычислительных экспериментах показана эффективность разработанной численной процедуры. Представлены результаты расчетов усталостного разрушения для различных режимов циклического нагружения с разными коэффициентами асимметрии цикла и с учетом искусственно нанесенных дефектов.
Моделирование инфицирования в локальной атмосфере, зараженной вирусом SARS-COV-2. Стационарная концентрация вирионов
Authors: Derevich Igor' Vladimirovich , Panova Anastasiya Andreevna
Published: May 2024

Представлена математическая модель инфицирования вирусом COVID-19 при абсорбции вирионов из локальной атмосферы. В стандартную эпидемиологическую модель включены новые слагаемые, учитывающие начальный иммунитет и поток микрочастиц патогена из окружающей среды в организм. Показано, что иммунитет уменьшает степень поражения клеток организма и увеличивает интервал времени между началом инфицирования и взрывным ростом концентрации микрочастиц патогена. Начальный иммунитет обеспечивает критическую начальную концентрацию вирионов в организме, превышение которой приводит к интенсивному росту концентрации микрочастиц вируса. При начальной концентрации вирионов меньше критического значения вирус в организме вырождается. Результаты расчетов по модифицированной модели сопоставляются с экспериментальными данными. На начальной стадии инфицирования найдено аналитическое решение, описывающее рост концентрации патогена в организме при постоянном потоке вирионов из атмосферы. Найдено критическое значение потока вирионов из атмосферы, превышение которого приводит к монотонному росту концентрации клеток патогена. Предложена математическая модель вакцинации, снижающей вероятность поражения клеток организма микрочастицами вируса. Проиллюстрированы различные сценарии развития вирусной инфекции в организме индивида, эвакуированного из атмосферы, зараженной вирусом.
Implementation of Integrated Health Service and Promotion Posts for Non-Communicable Diseases (NCDs) to Improve Knowledge, Anthropometric and Nutritional Counseling Skills of Adolescent Cadres in Schools
Authors: Mintarsih Sri Noor , Tursilowati Susi , Ambarwati Ria , Mardiana Mardiana , Ismawanti Zuhria
Published: May 2024

Non-communicable diseases (NCDs) risk factors include changes in the lifestyle of adolescents with unhealthy diets tend to fast food, lack of activity and exercise, increased stressors, and exposure to environmental conditions that are not conducive to health. Establishing NCDs Integrated Health Service and Promotion Post is an efficient and effective control strategy aiming at early detection of NCDs risk factors. Empowerment of peer counsellors as Integrated Development Post cadres is expected to become agents of change and detect NCDs risk factors in schools. This research determines the effectiveness of implementing an adolescent-Integrated Development Post in schools to increase the adolescent cadre’s knowledge, anthropometric skills, and nutritional counseling. It is an experimental design with one group pre-post test at one of the high schools in Semarang City. Integrated Development Post cadres are peer counselors selected according to the criteria of 10% of the total number of students (36 people) from 11th grade. Differences in knowledge scores, anthropometric skills, and nutritional counseling of cadres were analyzed using the Paired T-test. The cadre’s knowledge scores increased from 50.55 to 70.11; anthropometric skills include weighing from 61.67 to 98.98, measuring height from 54.63 to 94.25, and nutritional counseling from 72.92 to 86.71. Paired T-test results show a p-value < 0.05. Integrated Development Post effectively increases cadre’s knowledge scores, anthropometric skills, and nutritional counseling. It can also detect risk factors to prevent and control NCDs in the school.
Physical, Chemical, and Sensory Characteristics of Star Fruit (Averrhoa carambola L.) Jelly Candy with Various Concentrations of Carrageenan-Konjac and Carrageenan-Pectin
Authors: Yudhistira Bara , Hamidah Siti Rahma , Punthi Fuangfah
Published: May 2024

Star fruit, a widely consumed fruit in Indonesia, is utilized in jelly sweets as a functional food promoting health. Nevertheless, the exorbitant price of gelatin, a gelling agent compatible with halal requirements, has resulted in the substitution of carrageenan, a comparable substance with a fragile consistency. This study investigated the physical, chemical, and sensory properties of star fruit jelly candy using different concentrations of gelling agents. This study employed a fully randomized design to investigate the effects of various concentrations and types of gelling agents, namely carrageenan-konjac and carrageenan-pectin, at concentrations of 1.5%, 2.0%, and 2.5%, respectively. The findings indicate that various gelling agents impact the characteristics of hardness, gumminess, chewiness, water content, antioxidants, and pH. Different amounts of gelling agents impact the firmness, stickiness, texture, separation of liquid, moisture level, mineral content, acidity, moisture availability, and crude fiber content. The variations in outcomes of this study are determined by the hydrocolloid’s water content, which can bind water. Subsequently, the duration of processing and the level of temperature exert an influence on these parameters, hence impacting the physical qualities. The findings indicate that the combination of carrageenan and konjac substantially affects star fruit jelly candy’s physical and chemical characteristics. The optimal formula for creating star fruit jelly candy is to employ a 2.5% concentration of carrageenan-konjac.
Pengembangan Website Mindful Self-Compassion bagi Remaja yang Mengalami Tekanan Putus Cinta
Authors: Nabila Umniyah  , Susi Fitri  , Dede Rahmat Hidayat
Published: May 2024

Penelitian ini bertujuan untuk mengembangkan website Mindful Self-Compassion bagi remaja remaja yang mengalami tekanan putus cinta dengan nama “Free Me”. Penelitian ini menggunakan teknik purposive sampling dengan sampel remaja di wilayah DKI Jakarta dan berusia 15 – 21 tahun. Alat ukur yang digunakan dalam penelitian ini adalah Breakup Distress Scale dan instrumen kebutuhan media website. Penelitian ini telah menghasilkan website Free Me yang memiliki enam menu, yaitu: 1) Beranda, 2) Asesmen, 3) Wawasan, 4) Pelatihan Mindful Self-Compassion,  5) Tentang Pengembang, dan 6) Kontak Kami. Hasil uji ahli media website memperoleh kategori “Sangat Layak”, hasil uji ahli materi memperoleh kategori “Layak”, dan hasil uji pengguna memperoleh kategori “Sangat Layak”. Hasil ini menunjukkan bahwa Free Me dapat digunakan sebagai website bantuan diri bagi remaja yang mengalami tekanan putus cinta. Berdasarkan hal tersebut, remaja yang mengalami putus cinta diharapkan untuk mengakses Free Me untuk mengetahui seberapa besar tekanan putus cinta yang dialami, dan selanjutnya remaja mampu menjadi teman bagi dirinya sendiri ketika mengalami tekanan akibat putus cinta yang tinggi.
Profil Attachment Style Remaja yang Mengalami Kekerasan Berpacaran di SMA Negeri se-DKI Jakarta
Authors: Bianita Wanda , Fitri Susi
Published: May 2024

Kasus kekerasan berpacaran di DKI Jakarta menjadi kasus tertinggi kedua setelah kekerasan terhadap istri dengan mengalami peningkatan pada tiap tahunnya. Teori yang dapat digunakan untuk menjelaskan resiko terkait kekerasan dalam pacaran adalan teori attachment style. Tujuan penelitian ini untuk mengetahui attachment style remaja yang mengalami kekerasan berpacaran. Penelitian dilakukan di SMA Negeri wilayah Jakarta Utara, Jakarta Selatan, Jakarta Timur, Jakarta Pusat, dan Jakarta Barat dengan menggunakan 411 sampel dan menggunakan accident sampling. Instrumen yang digunakan untuk mengukur adalah Conflict in Adolescent Dating Relationships Inventory dan Attachment Style Questionnaire. Secara keseluruhan, remaja di SMA Negeri se-DKI Jakarta mengalami kekerasan dalam kategori sedang pada jenis kekerasan emosional dan attachment style yang dimiliki adalah preoccupied attachment style. Mayoritas siswa yang mengalami kekerasan berpacaran dan memiliki preoccupied attachment style berjenis kelamin perempuan. Hasil penelitian dapat digunakan sebagai rekomendasi guru bimbingan dan konseling dalam menangani kasus kekerasan berpacaran.
Kata Kunci: remaja, attachment style, kekerasan berpacaran
Cases of dating violence in DKI Jakarta become the second-highest cases after violence against wives that the number of cases has increased every year. Attachment style theory is the theory that is applicable to comprehend the risks associated with dating violence. The purpose of this study was to determine the attachment style of adolescents who experienced dating violence. The research used 411 samples at Public High School in North Jakarta, South Jakarta, East Jakarta, Center Jakarta, and West Jakarta, and the data were collected using an accident sampling technique. The instruments used to measure are the Conflict in Adolescent Dating Relationships Inventory and the Attachment Style Questionnaire. Overall, adolescent in Jakarta's public high schools experienced violence in the moderate category, in the type of emotional violence. Thus, their attachment style was preoccupied attachment style. The bulk of students who have experienced dating violence and have a preoccupied attachment style are female. Results of the study can be further as a recommendation for guidance and counseling teachers in dealing with dating violence cases
Keyword : Adolescent, Attachment Style, Dating Violence
PANDEMIC COVID 19 APAKAH NOMOPHOBIA MENINGKAT? BAGAIMANA IMPLIKASINYA DALAM BIMBINGAN KONSELING
Authors: Yogi Damai Syaputra  , Monalisa Monalisa , Tamarin Ruwanda
Published: May 2024

Pandemic covid 19 membuat mahasiswa lebih banyak menghabiskan harinya dengan handphone. pembelajaran jarak jauh dijadikan alasan untuk lebih banyak menggunakan handphone. tanpa disadari kondisi ini membuat mereka banyak mengalami nomophobia. Penelitian ini bertujuan untuk mengungkap bagaimana tingkat nomophobia mahasiswa dimasa pandemic, serta bagaimana implikasi bimbingan konseling terhadap masalah nomophobia. Penelitian ini menggunakan metodologi deskriptif kuantitatif. Penelitian dilakukan di Universitas Islam Negeri Sultan Maulana Hasanuddin dengan sampel sebanyak 368 mahasiswa yang dipilih dengan teknik convenience sampling. Data dikumpulkan dengan nomophobia questioner (NPM-Q) versi Indonesia. dengan alfa cronbach 0.93. Hasil penelitian ini mengungkapkan bahwa 135 mahasiswa memiliki tingkat nomophobia pada kategori tinggi atau sebesar 36.7% dan sebanyak 88 mahasiswa berada pada kategori sangat tinggi atau sebesar 29.3%. Sebanyak 111 mahasiswa kategori sedang dan 34 mahasiswa berada pada kategori rendah atau sebesar 30.2% dan 9.2%. Implikasinya dalam bimbingan konseling, para penderita nomophobia dapat diberikan bimbingan untuk membantu mereka agar bisa lepas dari ketakutan dan kecanduan akan handphone melalui layanan dalam bimbingan konseling.
Analyzing Sociolla Electronic Commerce Repurchase Intentions with Customer Satisfaction as a Mediator
Authors: Syadela Novitasari  , Kaneshia Achmadi  , Osly Usman
Published: May 2024

This study examines the factors that influence recurrent purchases on Sociolla E-Commerce, paying particular attention to e-service quality, user interface, and user experience. The purpose of the study is to ascertain how these factors affect customer satisfaction and, in turn, repurchase intentions. The study uses a quantitative, explanatory method with purposive sampling and applies the Partial Least Square (PLS-SEM) technique for data analysis. The empirical results highlight the critical roles that user experience and e-service quality play in influencing customer perceptions by showing a considerable impact on customer satisfaction. Still, the user interface has a relatively small effect on client satisfaction. The significant function that customer satisfaction plays as a mediator between the independent and dependent variables in this analysis is worth mentioning. Remarkably, neither user experience nor e-service quality appear to be significantly correlated with repurchase intentions. This insightful discovery implies that a customer's inclination to repurchase is influenced by a variety of elements that extend beyond the immediate experience domain. The Sociolla Company, marketers, and researchers are all affected by these findings, which call for a deeper investigation into the nuances of client repurchase intentions. To maximize Sociolla E-Commerce's operational effectiveness and competitive positioning in the market, a deep comprehension of the relationships between different influencing elements and consumer happiness is essential.
Key to Startup Success in Indonesia: Analysing the Influence of Entrepreneurial Culture, Entrepreneurship Education, and Entrepreneurial Mindset
Authors: Rahmatul Khalik Alwiyasa  , Situmorang Exaudi , Irwansyah Taufik , Harlina
Published: May 2024

This research aims to develop a theoretical model of how factors affect startup development, in terms of entrepreneurial culture, entrepreneurship education, and entrepreneurial mindset. The theories used in this study are various factors that affect startup development. The research method used is qualitative with literature studies, theoretically analyzing theories and previous researchers and determining the main factors as predictors of building startups, with a comparison of various correlation results as the findings of this study. The results showed that entrepreneurial culture, entrepreneurship education, and entrepreneurial mindset affect the creation of young people's digital businesses. Entrepreneurial cultural factors include cultural values that influence the way young people think and act in creating startups. Entrepreneurship education factors with the right pedagogical approach will influence youth in creating startups. The entrepreneurial mindset factor includes the mindset and attitude of youth in facing challenges and opportunities in creating startups. Recommendations to future researchers to be able to examine the influence of other variables on creating startups both tested quantitatively and developed on a broader aspect of other variables.
Analysis of Customer Satisfaction Level on E-commerce in DKI Jakarta
Authors: Basyair Muhammad Nabil , Febrilia Ika , Sholikhah Sholikhah
Published: May 2024

Bukalapak as one of the largest e-commerce in Indonesia has the least number of visits compared to similar companies, even though the higher the number of visits, the greater the potential for transactions. This research aims to determine the level of customer satisfaction and can evaluate and optimize the services that Bukalapak has provided to customers. This research uses webqual dimensions consisting of usability, information quality and interaction. This research uses the research methods of Customer Satisfaction Index (CSI), Importance Performance Analysis (IPA) and Gap Analysis (GA). The sampling technique used was purposive sampling by distributing online questionnaires to 106 respondents. Based on CSI, Bukalapak customer satisfaction is in the very satisfied category, based on IPA there are four attributes that need to be improved, four attributes that need to be maintained and seven attributes need to be reduced in priority, based on GA there is one attribute that has a large enough Gap, namely security of personal data. Based on the results of this study, Bukalapak can prioritize improvements to the attributes of personal data security.
The Impact Of Digitalization On Then Credibility And Satisfaction Of Qris Users
Authors: Maulana Alfian , Saputra Panca Ardhio , Usman Osly
Published: May 2024

This research examines the influence of digitalization, transaction security, service speed and creditworthiness on customer satisfaction levels through the use of Bank Indonesia's QRIS in the Jabodetabek region. We use a survey method to collect data from QRIS users. The results of the analysis will help in identifying the relationship between the variables mentioned above and user behavior. The findings of this research can provide valuable insights for the business world and financial institutions in increasing customer satisfaction using QRIS.
The Utilization Of Google Workspace In Economics Learning Sman 68 Jakarta
Authors: Hidayah Shofiyatul , Wibowo Agus , Saparuddin Saparuddin
Published: May 2024

This study aims to describe student engagement in post-pandemic face-to-face learning in economics lessons at SMAN 68 Jakarta. This study also aims to describe learning innovations designed by teachers by utilizing existing features in Google Workspace. Finally, this study presents recommendations for using Google Workspace for economic learning to increase student engagement. This study uses qualitative descriptive methods and research samples of economics teachers of SMAN 68 Jakarta. The method of data collection carried out is observation and interview. The data analysis method used is qualitative descriptive analysis. The results indicate no shortage of student involvement in face-to-face learning in economics lessons. Teachers have taken advantage of the features in Google Workspace but haven't made the most of them. Teachers can use Google Docs and Google Slides for economics learning so that student engagement can increase significantly. This feature requires students to actively collaborate to complete assignments because teachers can monitor in real time the activities carried out by students.
Implementation of Business Ethics on Floating Market Traders Lok Baintan, South Kalimantan
Authors: Radhiati Raisa , Oktaviani  , Muhammad Qamaruddin
Published: May 2024

The Lok Baintan Floating Market in South Kalimantan is an intangible cultural heritage that is one of the cultural tourist attractions in the city of Banjarmasin. The floating market has existed since the 14th century, although there has been a decline in buyers because infrastructure growth on land has shifted. But currently, apart from buyers from riverside communities, tourists also dominate. The aim of this research is to provide insight into the Islamic business ethics of floating market traders and to increase awareness among floating market traders regarding good business ethics at a time when other businesses are developing rapidly in the modern business era. This research is a descriptive qualitative type of research using field research to provide information, facts, and data regarding the business ethics of Islamic traders at the Lok Baintan Floating Market, South Kalimantan. The population of this research is floating market traders. The sample in this study used a snowball sampling technique, so that 10 main informants were obtained from traders. As for research instruments using observations, interviews, and documentation. Research finds that business ethics is well applied by traders through the principles of unity, free will, equilibrium, responsibility, and benevolence. Although on the principle of free will found ways of forcing approaches and trying to convince buyers to buy, this behavior is just as a strategy of proactive marketing in a customer-seeking approach.