bluuebunny/crossref_metadata_2025 huggingface dataset:
The influence of society and social groups on the development of personality
Authors: Kozlova Anna , Nych Tamara , Drobot Olga , Liashenko Rostyslav , Cheban Oksana
Published: July 2024

This scientific paper seeks to identify and analyze various dimensions and structures involved in the development of personality. It delves into the interaction between the substance and assessment elements within personality development and scrutinizes its temporal aspects. Furthermore, the study explores theoretical aspects of personality development, discerning between individual and societal dimensions, and examines its growth over time in connection with social categorization processes. The research utilizes a thorough methodology in exploring the development of personality, encompassing psychophysiological, individual, social, and intrinsic factors. Different aspects and impacts of social surroundings on personality development are sorted according to criteria like encountering developmental challenges, resilience in decision-making, willingness to embrace new opportunities, among others. This categorization acts as a structure for examining the various manifestations and significant attributes of personality development. Research indicates that personality development is an ongoing, dynamic process that experiences both advancement and regression over a lifetime. It highlights the influence of social interactions and language acquisition on shaping personality, emphasizing how changes in one's social surroundings can impact personality development. Different facets of personality formation, such as ego development, formation within groups, and manifestations of both positive and negative traits, are thoroughly explored and analyzed. The research findings suggest that taking a comprehensive approach that considers psychophysiological, personal, social, and profound aspects is a promising direction for understanding how personality develops. This study enhances our understanding of the intricate and varied processes involved in personality development, going beyond simplistic categorizations. Moreover, it underscores the significant impact of social interactions and surroundings on the formation of personality, providing valuable perspectives for both psychological studies and real-world implementations.
Crafting state policies to encourage innovations in human capital development
Authors: Ilyina Anastasiya
Published: July 2024

This article explores how government entities impact the development of human capital through innovation and argues for its significance in driving future economic growth. The advancement of human capital through innovation is crucial for enhancing the efficiency and quality of public services, reducing societal inequalities, and promoting sustainable development within a country. In today's rapidly evolving technological landscape, public authorities must adapt to changing circumstances and cultivate a skilled workforce to meet the demands of a competitive job market. The methodology involves analyzing legal documents, academic research, and statistical data from the past five years, comparing different countries to highlight effective strategies and areas needing improvement. The analysis reveals that government intervention plays a vital role in shaping human capital by supporting education, improving skill sets, and fostering environments conducive to creativity and leadership. The article emphasizes the importance of proactive government support for innovative initiatives and calls for reforms within public institutions to maximize their impact on human capital development. Strengthening the government's role in promoting innovation in talent and skills is essential for achieving sustainable economic progress and enhancing the nation's competitiveness on the global stage.
Public management in the sphere of national and state security: Concepts and strategies
Authors: Shchokin Rostyslav , Soloviov Oleksii , Tantsiura Ihor
Published: July 2024

This research aims to explore how public administration contributes to safeguarding national security through policy formulation and implementation. It seeks to construct theoretical frameworks and provide actionable suggestions for addressing emerging risks, threats, and vulnerabilities to national security. It is particularly relevant in contemporary events such as the Russia-Ukraine conflict, instability, and external pressures. The research uses a variety of methodologies, including economic analysis, systems analysis, specialised professional methods, scientific abstraction, comparison, synthesis, and statistical techniques such as correlation and regression analysis, as well as multivariate cluster analysis and the K-means method. Additionally, it employs various techniques for organising, presenting, and generalising data, such as tabular and graphical representation. Russian actions have worsened security challenges in Europe and emerging markets, hindering public administrations' ability to maintain national security. The Fragile State Index for Ukraine hit a critical juncture in 2023, highlighting the imperative to confront these threats promptly. The evolving landscape of national security, marked by heightened instability and external pressures, demands a thorough reconsideration concerning functioning public administration safeguarding national interests. Empirical data underscores the pressing necessity to confront these challenges through deliberate strategic planning and efficient operational frameworks. It underscores the significance of collaborative efforts and coordinated responses among nations confronting analogous threats to safeguard national sovereignty and territorial integrity amidst a dynamically shifting geopolitical milieu.
Developing inclusive competence of future socionomic specialists to meet modern challenges and constraints
Authors: Kandiuk-Lebid Svitlana , Mazur Valentyna , Oleksiuk Oksana , Starieva Anna , Chumachenko Oleksandr , Shevchenko Oksana
Published: July 2024

Developing inclusive competence is becoming crucial for future socionomic professionals in the modern world, with its diversity of cultures and social and economic contexts. This article explores the methods and strategies needed to cultivate such competence in the face of contemporary challenges and constraints. The research employed survey methods, group discussions, observation and quantitative data analysis. The article presents a structural framework for forming inclusive competence in future socionomic professionals amidst contemporary challenges and constraints. Strategies influencing the development of inclusive competence among future professionals in the socionomic sphere are identified, namely: understanding the concept of inclusion; teaching empathy and intercultural communication; using methods and approaches of inclusive education; institutional support; creating barrier-free environments; promoting diversity and inclusion in the workplace; support and counselling. The results of using a combination of these strategies include improving the quality of education, enhancing employability, developing social and intercultural skills, creating more inclusive organisational environments, increasing societal awareness and support, developing innovative solutions and strengthening social capital. The challenges of developing inclusive competence, the effectiveness of strategies to influence its development and the expected outcomes of implementing these strategies are examined. The authors conclude that the practical cultivation of inclusive competence contributes to the professional development of future professionals and serves as a key to a fairer and more sustainable society.
Exploration historical contexts in vocal art
Authors: Kdyrova Inesh , Ryskulov Kuanysh , Dossanova Alma , Smetova Almagul , Juldiyeva Olga
Published: July 2024

This comprehensive study embarks on a fascinating journey of exploration into the historical contexts intricately woven into the fabric of vocal art, spanning from the majestic realms of opera to the dynamic landscapes of contemporary rock music. With meticulous scrutiny and insightful analysis, the author unravels the rich mosaic of operatic masterpieces, highlighting their profound resonance with historical eras and social ideologies. From the echoes of ancient civilizations to the tumultuous narratives of modern revolutions, the evolution of operatic narratives reflects a kaleidoscope of human experiences and aspirations. The study also delves into the realm of popular music genres, particularly rock, revealing their role as channels for cultural, social, and individual narratives rooted in historical contexts. The methodological complexities of assigning works to historical plots are examined, alongside the transformative impact of technological advances on musical creation and dissemination. By elucidating the symbiotic relationship between historical environments and vocal expression, this research highlights the importance of contextual understanding in deciphering the broad mosaic of human culture and consciousness.
The role of art and humanities in shaping cultural approach
Authors: Sosnytskyi Yurii , Piddubna Oksana , Snigovska Oksana , Donets Ivan , Hlazunova Iryna
Published: July 2024

The topic's relevance lies in the need to understand and define the role of art and humanities in shaping cultural approach. In today's world, with globalization and rapid changes, a cultural approach is crucial for uncovering and comprehending the diversity of cultures, their interactions, and their influence on society. This research aims to clarify the role of art and humanities in shaping cultural approach, identify their interactions, and assess their impact on the development of the contemporary cultural environment. Understanding these aspects will contribute to a more in-depth analysis of cultural phenomena and foster the development of a more tolerant and open society. The research is based on a combination of methods, including literature analysis, empirical studies, and philosophical analysis. The aim is to create a comprehensive understanding of the influence of art and humanities on the formation of the cultural approach. The investigation of the influence of art and humanities on cultural development is pertinent in the current era of global transformation. The research findings are anticipated to clarify the relationship between these fields and their effect on the creation of cultural identity, promoting an understanding of the significance of the cultural approach in the advancement of contemporary society. The research methodology aims to understand these processes comprehensively, serving as a basis for further scientific research and contributing to the development of cultural studies as a significant field of humanities.
How are Vietnamese people devout? A case study of burning votive paper for the dead in Hanoi
Authors: Họp Nguyen Thi , Ngoc Nguyen Thi Minh
Published: July 2024

This study explores the Vietnamese people's deep devotion to their ancestors and the deep spiritual beliefs in their culture and traditions. The multivariate linear regression model is applied to test the research hypotheses with a sample size of 200 based on the random sampling method. Research results found that the religious practice of burning joss paper for the dead is common in many different regions of Vietnam, including Hanoi. Ancestor worship is a fundamental aspect of Vietnamese spirituality, where deceased ancestors are believed to continue influencing the lives of living descendants with good and bad luck. Therefore, Vietnamese people maintain a deep connection with their ancestors and perform rituals, especially burning votive paper, to pay respect and appease their ancestors.
Development of an automated monitoring system for soil moisture and temperature in smart agriculture to enhance lettuce farming productivity based on IoT
Authors: Muthmainnah Muthmainnah , Mulyadi Muhammad Fakhri , Tazi Imam , Mulyono Agus , Hananto Farid Samsu , Chamidah Ninik , Kusairi
Published: July 2024

In the era of advanced agriculture, implementing Internet of Things (IoT) technology has brought significant innovations to monitoring plant growth. This article discusses the development of an automation system to monitor soil moisture and temperature in lettuce farming based on smart agriculture. The system integrates soil moisture and temperature sensors connected in real-time through IoT, enabling accurate and continuous monitoring of the environmental conditions for lettuce cultivation. The soil moisture sensor used is YL-69 with the calibration equation y=-0.0612x+64.38 and an R-square value of 0.8953. The average standard deviation value is 0.36, and the average accuracy value is 98.71%. The temperature sensor used is DHT11 with the calibration equation y=0.9619x+2.8107 and an R-square value of 0.9928. The average standard deviation value is 0.023, and the average accuracy is 99.67%. The microcontroller used is ESP8266, known for its reliable connectivity. The IoT platform employed is the Blynk application. Monitoring results over five days yielded average soil moisture values ranging from 76% to 98%, and average temperature values ranged from 22°C to 27°C. Through continuous data collection, farmers can optimize irrigation, apply corrective measures for temperature fluctuations, and design more innovative farming strategies. The results of implementing this system demonstrate a significant improvement in resource efficiency, operational cost savings, and increased productivity in lettuce farming management.
Numerical studies on the strength enhancement of reinforced concrete building through the application of carbon fiber reinforced polymer
Authors: Nanabala Sreekanth Gandla , S. Balamurugan
Published: July 2024

In recent years, there has been a significant increase in the use of externally bonded carbon fiber-reinforced polymers (CFRPs) for retrofitting structural components due to their high modulus of elasticity, high strength, low weight, durability, high resistance, corrosion resistance, and ease of installation. However, the use of CFRP in buildings raises several questions. In this study, a G+5 building is modeled using SAP 2000 software to determine the applications of CFRP in structural enhancement. Lateral forces are calculated using the seismic coefficient method and applied to the building. Nonlinear static pushover analysis is performed on the building to identify the formation of plastic hinges. The failed beam from the pushover analysis is then considered for static analysis in Abaqus software. Four beams of uniform dimensions are analyzed: unwrapped beams, beams wrapped with 50 mm strips along the length with 50 mm spacing, beams wrapped with 50 mm strips at 90 degrees with 50 mm spacing, and beams wrapped with 50 mm strips at 45 degrees with 50 mm spacing. An incremental load ranging from 1 kN to 50 kN is applied to the beams, and the maximum deflections and cracks at the center of the beam are recorded. The beam wrapped with 50 mm strips at 45 degrees showed the best results based on maximum deflection values and is therefore considered for wrapping beams in the building. For the wrapped building, the flexural details of the individual beam, load-carrying capacity, capacity spectrum curve, and displacement are calculated and compared with the building without wrapping.
Reproductive parameters of  Rhipicephalus sanguineus sensu lato  under controlled conditions
Authors: Céspedes-Rosas Jorge Ernesto Eliseo , Peniche-Cardeña Álvaro Enrrique de Jesus , Villagómez-Cortés José Alfredo , Barradas-Piña Francisco Tobías , Martínez-Herrera David Itzcoatl , Vivanco-Cid Héctor
Published: July 2024

Rhipicephalus sanguineus is an ectoparasite of importance for both animal and public health. Purpose: The objective of this study was to establish a colony of R. sanguineus under laboratory conditions in order to characterize its biological cycle and its reproductive parameters while parasitizing the alternative host most frequently used as experimental model. Methods: Adult ticks were collected in veterinary clinics in the Veracruz-Boca del Rio metropolitan area between November 2020 and November 2021 and a rabbit model was used as host under controlled conditions (28°C ± 2°C and 80% ± 10% relative humidity). Results: The biological cycle had a mean duration of 72.5 days (range 43 to 94 days). The larval feeding period ranged from 2 to 8 days. The larva-nymph molting period was between 3 and 5 days. Nymphal feeding time was 4 to 8 days. The molt from nymph to adult took 8 to 22 days. The adult feeding phase required 6 to 9 days with a mean of 6.9 days. The oviposition period needed from 3 to 19 days. The mean egg mass weight was 50.7 mg. The mean percentage of oviposited weight was 58.5%. The mean of number of eggs obtained per tick was 901.2. An average of 693.0 viable larvae per tick was obtained. The hatching rate of the egg mass was estimated at 72.1%. Conclusion: It is concluded that, under this laboratory conditions, R. sanguineus reproductive parameters for developing its biological cycle in a rabbit model can favor research under these controlled conditions.
Development of сompetence of the Armed Forces of Ukraine оfficers to manage military units under conditions of change
Authors: Karpilianskyi Dmytro , Makhlai Oleksandr , Tuz Olersandr , Pavlenko Oleh , Basalyk Serhii
Published: July 2024

The article investigates the challenges in developing the competence of Ukrainian Armed Forces officers to manage military units amid changing conditions. The study analyzes existing concepts and approaches in psychological science related to organizational change and management in such environments. The notion of "competence of Armed Forces officers to manage personnel of military units in changing conditions" is clarified. A structural model of this competence is proposed, comprising cognitive, motivational, personal, activity, and regulatory components. The empirical study's results reveal the current state of this competence among Ukrainian Armed Forces officers. To enhance this competence, a professionally oriented psychological training program was developed and experimentally validated. Practical recommendations are provided for officers to effectively manage personnel in subordinate units during periods of change.
Clean label approach for condiment sauces: A case in Thai style sauces
Authors: Khunsee Att , Kaewsritong Jiraphat , Srikaeo Khongsak
Published: July 2024

Clean label food which contains fewer synthetic chemicals, shorter ingredient lists, and minimally processed ingredients, drives extensive attention from both industries and consumers. Clean label food products have gained popularity in the food market recently. This study employed both scientific and strategic techniques to address the issues regarding approaches for clean label implementation in Thai style condiment sauces. The quality and safety parameters of four popular condiment sauces were evaluated. Results suggested that all four condiment sauce samples can be classified as high acid foods which exhibited low pH value of less than 4.5. The quality and safety parameters of condiment sauces, as indicated by preservative contents and microbilological properties, were found to be complied with the Thai standard. However, many artificial ingredients, especially preservatives, were added in the conventional formulas of condiment sauces. These artificial ingredients must be avoided if implementing clean label approach. Results from strategic techniques (SWOT analysis and focus group interviews) suggested that condiment sauces have the potential to be developed as a clean label product. There are opportunities for manufacturing and marketing of clean label Thai style condiment sauces. However, there are also a number of weakness points that needed to be addressed and preferably eliminated. Strategies for the sucessful implementation of clean label approach in Thai style condiment sauces included minimizing mycotoxin contamination which naturally occurs and the use of natural ingredients with antimicrobial properties. Methods to prolong the shelf-life of condiment sauces using only clean label additives were identified as the key concerns.
Unveiling the relationships between enablers in resiliently sustainable supply chains using an integrated TISM-Fuzzy MICMAC approach: Study of Indian automobile sector post-COVID-19
Authors: Khot Sachin B. , Thiagarajan S.
Published: July 2024

Disturbances in the supply chains (SCs) of organizations often disrupt their operational networks. Thus, industrial SCs must be resilient and sustainable to swiftly respond to disturbances, decrease vulnerability to potential weaknesses, and mitigate the effects of adverse disruptions such as COVID-19. The aim of this research is to understand the interdependencies among the factors facilitating the development of a resilient and sustainable supply chain within the context of the Indian automotive industry in the consequences of the COVID-19 pandemic. This study proposes an integrated framework to recognize and analyze the enablers of supply chain resilience (SCR) in a typical automobile sector while maintaining sustainability. To this end, a detailed literature search was conducted to identify a complete set of enablers while ensuring the sustainability of SCs. Total interpretive structural modeling (TISM) and fuzzy cross-impact matrix multiplication applied to classification (fuzzy MICMAC) methodologies are integrated to analyze the identified enablers. The fuzzy MICMAC model is used to evaluate the interrelationships between enablers of a resilient and sustainable SC based on their driving powers and dependencies. Trust and commitment among players and information sharing are the most influential drivers in establishing a more robust and sustainable SC in post-COVID-19 situations. The proposed paradigm highlights the major techniques that SC leaders should use to improve SCR performance and sustain SC operations during unexpected disruptions.
Personalized digital marketing perspectives and practices in education industry
Authors: Lussak Assed , Darmawan Ibnu , Ramadhan Rizaldy
Published: July 2024

Every business is making an effort to sell their goods and services using various digital advertising platforms as the use of digital marketing continues to gain popularity and become more widespread. Personalization is a common practice in the service business, which caters its offerings to meet the specific requirements of individual consumers. It not only ensures the delight of the client but also helps in the process of keeping existing consumers. This article takes a look at the various forms of digital marketing technology that may be applied to the process of personalizing marketing for education services. The following five forms of digital advertising are investigated: search engines, email, banner ads, social media, and online video ads. The convenience sampling method was used to select 320 respondents. The data were analyzed and interpreted with SPSS Amos 23.0. According to the findings, personalized digital marketing channels like email, social networking, and online video are more effective to use in the education industry. Personalization may be difficult to achieve in search engine marketing because it is dependent on the selection of keywords.
The optimization model of the location and number of Warehouses in subsidized fertilizer distribution systems with uncertainty factors
Authors: Kusuma Indra Permata , Suryani Erma , Siswanto Nurhadi
Published: July 2024

The focus of this research is on optimizing the fertilizer distribution system design with uncertainty factors for PT Petrokimia Gresik (PG) fertilizer within its distribution area. The most significant impact on PG resulted from changes in policy to reduce subsidy allocation and changes in the policy regarding the responsibility for the procurement and distribution of subsidized fertilizer, particularly concerning the use of distribution facilities. Quantitative methods were used in this research to address the problems by solving a model using the mixed integer linear programming (MILP) model with the aim of maximizing warehouse utilization for storing subsidized fertilizer while reducing distribution costs. The study's findings led to the selection of 22 out of the 28 existing Line III warehouses rented by PT Petrokimia Gresik as effective warehouses for subsidized fertilizer. The monthly minimum cost for distributing subsidized fertilizers to all distributors through the designated Line III warehouses is IDR 9,853,345,000, resulting in cost savings of IDR 682,551,750.00 compared to previous expenses. Optimization results using MILP determined that 6 warehouses would no longer be used, saving 6.927% of the total distribution costs. To increase utilization, mapping into the normal season and peak season was needed to obtain an overview of the conditions and characteristics of the demand distribution
The impact of collaboration on supply chain performance in the aerospace industry: Exploring the mediating role of knowledge sharing
Authors: Ezekari Manal , Ait Lhassan Imad , Bazarouj Rajaa , Ouhnine Ikrame
Published: July 2024

The aerospace sector in Morocco has become significant, playing a crucial role in the country's economy. Collaboration and knowledge sharing are essential practices within the supply chain, particularly for industrial enterprises such as aerospace, which aid in enhancing their performance. Our article aims to examine The Impact of Supply Chain Collaboration on Supply Chain Performance in the Aerospace Industry: Exploring the Mediating Role of Knowledge Sharing. A questionnaire was distributed to 130 managers and logistics directors working in companies specialized in the aerospace industry. The methodological approach was based on quantitative methods, and hypothesis testing and validation were conducted using structural equation modeling. The results of our study indicate that supply chain collaboration positively impacts supply chain performance, mediated by knowledge sharing.
Identifying criteria, models, and assessing the digital transformation readiness levels of enterprises in Vietnam
Authors: Thi Nhu Quynh Vu
Published: July 2024

Digital transformation is an inevitable trend for businesses around the world. This study provides an overview of the criteria and models for evaluating the level of digital transformation in businesses. Additionally, it analyzes the current state of digital transformation readiness among small and medium-sized enterprises in Vietnam for 2022 and 2023. The overview results indicate that, although many studies have addressed digital transformation, there are still few that provide evaluation models tailored to the specific characteristics of each industry. In Vietnam, the index for evaluating the readiness level for digital transformation in businesses consists of 7 pillars and 34 component criteria, including: strategic objectives; customer experience & omni-channel; supply chain; IT systems & data management; risk management & cybersecurity; financial management, accounting, planning, legal & HR management; and human & organization. However, this index is a common set for all types of businesses across different industries. The criteria used in these indices are currently assumed to have the same level of importance. In reality, their importance should vary between criteria and across different industries and types of businesses. The analysis results show that the average level of digital transformation readiness in 2023 tends to increase in all aspects compared to 2022. Notably, the readiness level for digital transformation in the strategic objectives aspect is the highest, and the most significant improvement is seen in the risk management & cybersecurity aspect. Based on the literature review and the analysis of the current situation, the study provides several discussions to enhance the digital transformation of businesses in Vietnam.
Anthocyanins Absorption of Grapes (Vitis vinifera) on Filter Paper, Whatmann no. 41 and Whatmann no. 42 for Identification of Borax
Authors: Kurniawan Deny , Pramaningsih Vita , Rusdi Rusdi , Lesmana Oktavianti Dwi
Published: July 2024

Borax detection can be done using the flame test method, volumetric titration, spectrophotometric analysis, and qualitatively using natural materials such as curcumin and anthocyanins. Acid-base titrations have the potential to utilize the high content of anthocyanins in grapes as an indicator of natural acid-base. The research objective was to determine the potential of anthocyanins in the flesh and skin of grapes in detecting natural borax, which is absorbed on filter paper, Whatmann paper no. 41, and Whatmann paper no. 42. We then tested it on meatball samples from five vendors in Samarinda Seberang and Mangkupalas village. The research method used is a quantitative analysis of the color changes that occur. Based on the research results, filter paper can have better absorption, as shown by the dark color on Whatman No. 41 and 42. Grape skin extract can detect borax more clearly than flesh by forming a dark purple ring when reacted with borax. In testing using meatball samples, the overall results of the samples contained borax. It was concluded that the filter paper from the absorption of grape skin anthocyanins could be used as an alternative for quantitatively testing the borax content in food.
Analyze of Parameter Values of Sasirangan Home Industry Wastewater at Hot and Cold Dyeing
Authors: Noraida Noraida , Khair Abdul
Published: July 2024

The sasirangan fabric home industry produces wastewater through the hot and cold dyeing process. It is necessary to know the coloring process and wastewater parameter values to design good wastewater treatment. The purpose of the study was to compare the wastewater parameter values including pH, NH3-N, BOD5, COD, TSS, Oil/Fat, Color, Phenol, Temperature, H2S and Crom Total from Sasirangan Home Industry Wastewater at Hot and Cold Dyeing. This type of research is comparative research with static group comparison design. The sample is a portion of wastewater from home industries from in the province of South Kalimantan Indonesia, namely Banjarmasin City, Banjarbaru City, and Banjar Regency. The sampling technique used accidental sampling with a total of 20 samples consisting of 10 samples of the hot dyeing process and 10 samples of the cold dyeing process. Parameters that do not meet the standards in the hot dyeing process are pH, BOD5, COD, TSS, color, and phenol, while in the cold dyeing process are BOD5, COD, TSS, and color. Statistically, there is a significant difference in the parameter values of pH, TSS, color, phenol, and temperature in sasirangan cloth home industry wastewater between the two processes. The results of the research can be used for planning wastewater treatment for the Sasirangan home industry.
Про структуризацію техногенних утворень в межах кар’єру “Південний” (м. Кривий Ріг)
Authors: Osmachko L. S. , Verkhovtsev V. G. , Mayboroda Ye. I.
Published: July 2024

Дослідження проведені в межах залізорудного кар’єру “Південний” (м. Кривий Ріг) з метою в подальшому комплексного й ефективного використання техногенно перетворених ділянок надр і земної поверхні Кривбасу. Наведено короткий огляд досягнень попередніх дослідників. Застосовано загальноприйняті методи досліджень. Виконано фіксацію елементів залягання у відносно непорушених невеликих за розмірами блоках (далі – блоках або блочках) кварцитів і сланців саксаганської світи (ціликах) та в блочках розмежування ціликів – техногенних нагромадженнях. У відносно непорушених блочках кварцитів замірялися такі елементи для смугастості, сланцюватості, лінійності за мінеральними агрегатами, осями складчастих форм, штрихами, борознами тощо. Серед техногенних нагромаджень (осипів, насипів і заповнених штучних порожнин) за ступенем структуризації спостережено неструктуровані та різною мірою структуровані. В межах останніх зафіксовано шаруватість, механічну сланцюватість та лінійність. Фактичний матеріал про розміщення структурних елементів опрацьовано за допомогою програми StereoNett 2.46, а також зроблено розрахунки зміщень блочків досліджуваних утворень.З’ясовано, що становлення системи блочків кар’єру “Південний” відбувалося в умовах їх обертання як по вертикальній, так і по горизонтальній осях.Виникнення новоутворених площин техногенних нагромаджень відбулося з успадкуванням існуючої в ціликах структурної анізотропії зі створенням власної стратифікації. Отже, досліджувана система “блочки ціликів – техногенні нагромадження” розвивалася і формувалася як цілісний об’єкт взаємоузгоджено роками – десятиліттями в поверхневих умовах.Перетворення техногенних нагромаджень, їх “добудова”/структуризація, внаслідок яких відновлюється цілісність порушених і зниклих ділянок геологічного об’єму, є конструктивними явищами. Вони практично є природною лабораторією процесів формування структурно-текстурних елементів у сипких нагромадженнях. Їх відстеження в часі дало б змогу фактично спостерігати процеси самостворення/відтворення сучасних техногенно-природних об’єктів.Ранжування структурних новоутворень та їх еколого-техногенної стійкості в техногенних нагромадженнях може бути застосовано як один з критеріїв оцінки асиміляційного потенціалу цих нагромаджень та сприятливості для господарського освоєння.
Літієві пегматити України: проблеми і переваги освоєння родовищ
Authors: Bilous O. I. , Slobodian B. I. , Parfeniuk V. O.
Published: July 2024

Pозглянуті перспективи освоєння літієвих родовищ України в контексті загальних тенденцій на світовому ринку. Подано огляд і аналіз різних аспектів, а саме: специфічні умови світового ринку літію, класифікація пегматитових родовищ Європейського Союзу по запасах і якості сировини, економічна значущість мінерального складу руди та комерційні вимоги до якості мінеральних концентратів літію. Наведено порівняння петаліту і сподумену як основних мінералів-носіїв літію в пегматитових родовищах. Показано вплив петаліт-сподуменових пегматитів на економічну значущість конкретного родовища. В зазначеному контексті представлено порівняння двох родовищ літієвих руд України – Шевченківського сподуменового та Полохівського петалітового, які є найперспективнішими щодо економічної доцільності їхнього освоєння. Руди вказаних родовищ придатні для отримання літієвих мономінеральних концентратів з подальшою переробкою їх в літієві хімічні продукти – карбонат літію та гідроксид літію.
Aloe vera mucilage loaded gelatin electrospun fibers contained in polylactic acid coaxial system and polylactic acid and poly(e-caprolactone) tri-layer membranes for tissue engineering
Authors: Castillo Ortega María Mónica , Quiroz Castillo Jesús Manuel , Del Castillo Castro Teresa , Rodriguez Felix Dora Evelia , Santacruz Ortega Hisila del Carmen , Manero Octavio , Lopez Gastelum Karla Alejandra , Chan Chan Lerma Hanaiy , Martinez Diego Hernandez , Tapia Hernández Jose Agustin , Plascencia Martínez Damian Francisco
Published: July 2024

BACKGROUND: Polymeric electrospun mats have been used as scaffolds in tissue engineering for the development of novel materials due to its characteristics. The usage of synthetic materials has gone in decline due to environmental problems associated with their synthesis and waste disposal. Biomaterials such as biopolymers have been used recently due to good compatibility on biological applications and sustainability. OBJECTIVE: The purpose of this work is to obtain novel materials based on synthetic and natural polymers for applications on tissue engineering. METHODS: Aloe vera mucilage was obtained, chemically characterized, and used as an active compound contained in electrospun mats. Polymeric scaffolds were obtained in single, coaxial and tri-layer structures, characterized and evaluated in cell culture. RESULTS: Mucilage loaded electrospun fibers showed good compatibility due to formation of hydrogen bonds between polymers and biomolecules from its structure, evidenced by FTIR spectra and thermal properties. Cell viability test showed that most of the obtained mats result on viability higher than 75%, resulting in nontoxic materials, ready to be used on scaffolding applications. CONCLUSION: Mucilage containing fibers resulted on materials with potential use on scaffolding applications due to their mechanical performance and cell viability results.
Danish short form Örebro Musculoskeletal Pain Screening Questionnaire: Translation, cross-cultural adaptation, and evaluation of measurement properties
Authors: Oxfeldt Martin , Tegner Heidi , Björklund Martin , Christensen Jan
Published: July 2024

BACKGROUND: Low back pain (LBP) is the leading cause of disability and an increasing sick leave in Denmark. Psychosocial risk factors have been linked to the development of LBP-related disability and work-absenteeism. The short form Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ-sf) was developed to screen for psychosocial risk factors and assess the risk of long-term disability and work-absenteeism. OBJECTIVE: To translate and cross-culturally adapt ÖMPSQ-sf into Danish and evaluate test-retest reliability with relative and absolute reliability and internal consistency in LBP-patients in a secondary setting. METHODS: A six-step translation and cross-culturally adaptation process was used. Forty-four patients with subacute and chronic LBP were recruited at an outpatient clinic. RESULTS: Test-retest reliability (n= 37) was found to be excellent (ICC2.1= 0.92), Internal Consistency (n= 44) was adequate (Cronbach’s alpha = 0.72). Absolute reliability included Standard Error of Measurement (SEM = 3.97 points), 95% Limits of Agreement (95% LOA = 0.08, -15.90–15.74), and Smallest Detectable Change (SDC = 10.87 points). CONCLUSION: The Danish ÖMPSQ-sf showed acceptable measurements properties in subacute and chronic LBP-patients. Further research is needed to assess other measurement properties of the ÖMPSQ-sf, in relation to validity, responsiveness, and the predictive ability before application in research or clinical practice.
Comparative analysis of machine learning algorithms for heart disease prediction
Authors: Gupta Isha , Bajaj Anu , Sharma Vikas
Published: July 2024

Heart diseases are a major cause of death worldwide, highlighting the need for early detection. The electrocardiogram (ECG) records the heart’s electrical activity using electrodes. Our research focuses on the ECG data to diagnose heart disorders, particularly arrhythmias. We utilized the MIT-BIH arrhythmia dataset for comparative analysis of various machine learning techniques, including random forest, K-Nearest Neighbor, and Decision Tree, along with deep learning algorithms like Long short-term memory and Convolutional Neural Networks. This required employing various preprocessing methods like filtering and normalization and feature selection techniques such as chi-square and sequential feature selectors to improve the performance of heart disease prediction. Therefore, hybrid machine and deep learning models are proposed, and the results reveal that hybrid models perform better than conventional models.
Application of 5G network technology in agricultural production and information management
Authors: Li Cong
Published: July 2024

Establishing a management information system that adapts to the continuous development of agricultural production management today, adopting advanced 5G technology and means, and comprehensively managing the entire agricultural production is an inevitable trend in the development of agricultural production management. In order to improve the effect of agricultural production informatization management, this paper combines 5G (fifth-generation) network technology to construct agricultural production and informatization management models. In view of the massive dynamic agricultural production management data, this paper studies the efficient multi-copy management strategy, which can consider the two aspects of load balancing and energy efficiency at the same time, so as to achieve efficient data access and energy efficiency. Moreover, this paper introduces a time series-based file access heat calculation model. In terms of determining the number of copies of files, this paper proposes a copy factor allocation algorithm centered on the ranking of file access popularity, and gives a characteristic function. Through cluster analysis, it can be seen that the agricultural production informatization management model based on 5G technology proposed in this paper can effectively improve the efficiency of agricultural information management.
What factors distinguish overlapping Data job postings? Towards ML-based models for job category’s factors prediction
Authors: Hidri Adel , Mkhinini Gahar Rania , Sassi Hidri Minyar
Published: July 2024

Distinguishing between roles like Data Scientist, Data Engineer, Data Analyst, and Business Intelligence Developer can be challenging, as there can be overlap in responsibilities, focuses, and skill sets across these positions. By understanding these distinctions, job seekers can better align their skills and interests with the specific requirements and factors of each role, thereby increasing their chances of finding a fulfilling career in the data field. To address what factors distinguish these positions, we developed machine learning models capable of clarifying the distinctions among these positions based on relevant features extracted from the dataset. The proposed learning models leverage relevant features extracted from the dataset to differentiate between roles accurately. Factors such as technical skills, programming languages, educational background, work experience, and certifications likely play crucial roles in distinguishing between these positions. By incorporating these features into the models, they can effectively identify patterns and characteristics unique to each role. The high accuracy (approximately 99%) achieved by these models not only validates their effectiveness but also underscores the importance of understanding the nuances and specific requirements of each role within the data field. Armed with this knowledge, both job seekers and employers can make more informed decisions when it comes to hiring, career planning, and talent acquisition.
RETRACTED: Optimizing machining of 17-4 PH steel with ionic coolant: A comprehensive evaluation using hybrid CRITIC IF R-VIKOR MCDM approach
Authors: Ruth Isabels K. , Arul Freeda Vinodhini G. , Anandan Viswanathan
Published: July 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Experience in psychological counseling supported by artificial intelligence technology
Authors: Ping Yuxia
Published: July 2024

BACKGROUND: In recent years, artificial intelligence (AI) technology has been continuously advancing and finding extensive applications, with one of its core technologies, machine learning, being increasingly utilized in the field of healthcare. OBJECTIVE: This research aims to explore the role of Artificial Intelligence (AI) technology in psychological counseling and utilize machine learning algorithms to predict counseling outcomes. METHODS: Firstly, by employing natural language processing techniques to analyze user conversations with AI chatbots, researchers can gain insights into the psychological states and needs of users during the counseling process. This involves detailed analysis using text analysis, sentiment analysis, and other relevant techniques. Subsequently, machine learning algorithms are used to establish predictive models that forecast counseling outcomes and user satisfaction based on data such as user language, emotions, and behavior. These predictive results can assist counselors or AI chatbots in adjusting counseling strategies, thereby enhancing counseling effectiveness and user experience. Additionally, this study explores the potential and prospects of AI technology in the field of psychological counseling. RESULTS: The research findings indicate that the designed machine learning models achieve an accuracy rate of approximately 89% in analyzing psychological conditions. This demonstrates significant innovation and breakthroughs in AI technology. Consequently, AI technology will gradually become a highly important tool and method in the field of psychological counseling. CONCLUSION: In the future, AI chatbots will become more intelligent and personalized, providing users with precise, efficient, and convenient psychological counseling services. The results of this research provide valuable technical insights for further improving AI-supported psychological counseling, contributing positively to the application and development of AI technology.
JEMBATAN ATAU TEMBOK: TANTANGAN MODERASI BERAGAMA DALAM MEDIA SOSIAL
Authors: Syahputra Ali
Published: July 2024

This study explores religious moderation on social media, which has become the main platform for disseminating information and building interactions between individuals. However, in the context of religious plurality, using social media often poses challenges to religious moderation. This study will explore the use of social media in religious moderation, whether as a bridge or as a wall in providing space for interfaith dialog. Through a qualitative approach by analyzing controversial phenomena, user perceptions, and the role of algorithms. This research aims to identify critical points that affect the success or failure of religious moderation in creating an inclusive and productive dialog space. The researcher found that the narratives on social media have become conservative, allowing the free transmission of religious views without a filter. This research suggests that moderates should be more active in filling the spiritual space of the people so that social media can be a positive bridge to promote religious moderation. The research provides practical implications by detailing findings related to positive dialog, the role of opinion leaders, and the challenge of hoaxes. This can help design better strategies and policies to promote religious moderation on social media.
Case of Lajpat Nagar Market in New Delhi: Creation and execution of street vendor survey for observing public health and order in a non-vending zone.
Authors: Singh Raja , Bhashyam Pavani
Published: July 2024

In this study the compliance of the rules made under the Street Vendor Act in Delhi have been tested in a market in New Delhi with respect to the  the livelihood of the street vendors in the markets, the importance of understanding activities and their health and order in the sense of examining their practice of rules and regulations from the market point of view.

Keywords: The Street Vendors Act 2014, Street vendors, Rights, Certificate of Vending, Lajpat Nagar Market, TVC, Livelihood, Health and order.