bluuebunny/crossref_metadata_2025 huggingface dataset:
The University course of basic theology by archpriest Fyodor Fedorovich Sidonsky in the context of academic lectures by his contemporaries
Authors:   St. Tikhon’s Orthodox University, Karelina Liubov A.
Published: April 2024

The only published dogmatic material of the Russian philosopher of the middle of the 19th century, prot. F. F. Sidonsky, is “A genetic introduction to Orthodox theology”, a course of lectures delivered by him in 1872 at St. Petersburg University. The purpose of the study is a comparative analysis of the principles of its construction and methodology with similar courses taught at the theological academies by Metropolitan Makariy (Bulgakov) and Archpriest A. V. Gorsky. In contrast to the repeatedly reprinted “Introduction to Orthodox theology” by Metropolitan Makariy (Bulgakov), the notes of Archpriest A. V. Gorsky were discovered in his archive, stored in the Russian State Library and have not yet been introduced into scientific circulation. The analytical part of the article is preceded by a brief overview of biographical information about the scientific and teaching activities of Archpriest F. F. Sidonsky, Archpriest A. V. Gorsky and Metropolitan Makariy (Bulgakov). All the authors belong to the same generation, but to different academic schools: St. Petersburg, Moscow and Kiev; they have been awarded the highest degrees of not only academic, but also secular science Archpriests Theodore and Alexander read their courses much later than Metropolitan Makariy (Bulgakov), therefore, they pay considerable attention to refuting the natural-scientific criticism of Christianity, which intensified in the late 1850s. The originality of the presentation of the subject by Professor F. F. Sidonsky in comparison with his colleagues is largely due to his secular audience.
Axiological basis of interaction between church law and culture: A theoretical approach
Authors:   State Academic University for the Humanities, Erokhina Yulia V. ,   Ss. Cyril and Methodius Theological Institute of Postgraduate and Doctoral Studies
Published: April 2024

The article examines the axiological foundation of interaction between church law and culture, highlight problems concerning the criteria of correlation between church law and culture, a large number of approaches to definition of these terms, comparison methodology. Possible variants of the relationship between church law and culture are identified, such as: the opposition of church law and culture; church law as part of culture; church law includes culture as a social context of churchlegal issues; church law and culture are considered together. The problem of the correlation of ecclesiastical and canonical law is outlined, which will help to avoid terminological confusion and highlight the essential characteristics of ecclesiastical law. Operational definitions of “culture” and “church law” concepts are given. Using a legal approach, it is established that the relationship between church law and culture is realized through the category of legal regulation. A theoretical approach to the study of interaction between church law and culture through the prism of cultural heritage of the church is proposed, while the term “cultural heritage of the church” is interpreted and typologized by the author, in particular, it is proposed to distinguish material and spiritual cultural values of the church. The formation of the cultural values of the church has its own evolution, the subject of church law includes issues of preservation and use of the cultural values of the church (the cultural heritage of the Russian Orthodox Church). With the help of the norms of church law, the mechanism for solving issues of preserving and using the cultural values of the church is outlined.
Attempts at theological self-identification of Russian neo-Pentecostals in the Post-Soviet period (1990s)
Authors:   Kazan (Volga Region) Federal University, Pogasy Anatoly K.
Published: April 2024

Neo-Pentecostals (or charismatics), due to their relatively short existence, did not have time to develop their own complete theology. This causes certain difficulties in their confessional identification. The existing publications of neo-Pentecostal authors — most of them foreign — do not give a unified idea of the creed of this denomination, since for the most part they reflect only the theological views of the author himself and are not always shared even by representatives of his community, not to mention the denomination as a whole. The article attempts to summarize some of the theological views of the Russian neo-Pentecostals of the 1990s, in particular, their interpretation of the biblical provisions on the relationship between Christian freedom and submission to secular authorities, as well as their attitude to war and military service. Considering that no systematic studies of the doctrinal views of neo-Pentecostals were undertaken in Russia, which resulted in the lack of relevant literature, the author used the materials of his own field research undertaken by him “hot on the heels” — directly during the emergence and formation of neo-Pentecostal communities in Kazan, Yoshkar-Ola, Izhevsk, Saratov and, in part, In Moscow (1990–2000). The research was carried out by the method of included observation, interviews and narrative. The author does not claim that the results obtained are the official theological point of view of specific communities. Rather, these are generalized representations of thinking participants of various groups and communities of believers who generally share charismatic religious views.
Optical CuAl2O4 used as photocatalyst for IC dye degradation
Authors: Dabhade Ganesh , Malpure Ankita , Borhade Ashok , Shewale Yogita , Kushare Sachin , Daware Gaurav , Rajesh Yennam
Published: April 2024

The nanocrystalline copper aluminate (CuAl2O4) has been successfully synthesized by a simple, economical, and environmentally friendly solid-state mechanochemical (MCH) method. The prepared sample was characterized by a variety of suitable methods employed, including scanning electron microscopy (SEM), ultraviolet-visible diffuse reflectance spectroscopy (UV-DRS), Fourier transform infrared spectroscopy (FT-IR), and X-ray powder diffraction (XRD). The material's average particle size was 55 nm and stoichiometric. CuAl2O4 has been found to exhibit potent photocatalytic activity toward indigo carmine (IC) when subjected to UV light. Under UV radiation, 10 mg CuAl2O4 leads to 99 ± 1% degradation of an 8 ppm IC dye solution among 2 ppm, 4 ppm, 6 ppm, 8 ppm, and 10 ppm in 25 min. In addition, a prospective liquid chromatography-mass spectrometry (LC-MS) technique is identified in the current work, which provides potential routes for the photocatalytic breakdown of IC. Even after five consecutive cycles, the photocatalyst showed remarkable reusability and stability.
Hybrid modeling of karstic springs: Error correction of conceptual reservoir models with machine learning
Authors: Bouhafa N. , Sakarovitch C. , Lalague Laura , Goulard F. , Pryet Alexandre
Published: April 2024

Accurate spring discharge modeling and prediction is crucial for water management, helping authorities optimize use, manage variability, and prepare for droughts. Developing reliable simulation and forecasting tools is essential for effective management of groundwater resources from karstic springs. Although hybrid modeling approaches have been explored in hydrology, their application to spring discharge modeling is underexplored. Previous studies have focused on conceptual/distributed or data-driven models separately, missing the potential advantages of combining them. This creates a research gap in exploring the benefits of hybrid models for spring discharge. This study developed a hybrid model combining a conceptual GR5J model with Random Forests to simulate spring discharge from Bordeaux's largest karst aquifer. Model performance was assessed through comparison with the individual GR5J, RF, and benchmark models (weekly average of observed values). The hybrid model outperformed all models. Evaluation using actual meteorological data found the hybrid model achieved the highest accuracy by reducing GR5J simulation errors by 22%. When considering meteorological uncertainty, the hybrid model outperformed the individual GR5J, RF and benchmark models by 11, 30 and 47% respectively. The study findings suggest combining conceptual and machine learning approaches can improve spring discharge simulations, opening promising opportunities for enhanced forecasting in karst aquifers.
Mycorrhiza and its Applications in Agriculture and Forestry
Authors: Bahukhandi Diwakar
Published: April 2024

The symbiotic association between green plants and fungi is called
mycorrhiza. The plant makes organic products by photosynthesis and supplies them to
the fungus, and the fungus from the soil supplies water and mineral nutrients, such as
phosphorus, etc., to the plant. These fungi establish a mild form of parasitism, a form
of mutualism, where both the plant and the fungus benefit from the association.
Mycorrhizal fungi are soil fungi that play an important role in plant growth, protection
of plants from pathogens, and improving the quality of the soil. Abiotic components
and living communities of soil and soil organisms, particularly microbes, can have
direct and indirect impacts on land productivity. Direct impacts are those where
specific organisms affect the crop yield immediately. Indirect impacts that affect the
functions include those provided by soil organisms participating in carbon and nutrient
cycles, soil structure modification, and food web interactions that generate ecosystem
services that ultimately affect plant productivity. Selected organisms from different
functional groups, like microsymbionts (symbiotic fungi, bacteria, etc.), decomposers,
elemental transformers, soil ecosystem engineers, soil-borne pests and pathogens, and
micro regulators, are used to illustrate the linkages between soil biota and ecosystem
processes. There are various groups of fungi that form different types of symbiotic
associations with almost all groups of plants, from bryophytes to seed plants, i.e.,
gymnosperms and angiosperms, on the earth. Out of the seven types of mycorrhizae
(ectomycorrhizae, ectendomycorrhizae, ericoid mycorrhizae, arbuscular mycorrhizae,
orchidoid mycorrhizae, arbutoid mycorrhizae, and monotropoid mycorrhizae), the
endomycorrhizae (arbuscular) and ectomycorrhizae are the most abundant and
widespread. The molecular basis of nutrient exchange between ectomycorrhizal and
arbuscular mycorrhizal fungi and host plants proved the role of mycorrhizal fungi in
disease control, the alleviation of heavy metal stress, and increasing production in
sustainable agriculture, horticulture, and forest plants or trees, etc. Arbuscular
mycorrhizal fungi play a major role in the restoration of native ecosystems, and
mycorrhizae transform a disturbed ecosystem into productive land. Ectomycorrhizae
play an important role in forestation, forest ecosystems, and horticultural systems, and
they maintain monodominance in tropical rainforests. Apart from the nutrient benefits
to the plants,the mycorrhizae are presently employed in the colonization of barren soil and improving the transplantability of forest plants. Mycorrhizae create resistance
against insect pests, various root diseases, toxicity, and reduced susceptibility in plants.
The presence of mycorrhizae also favours the growth of beneficial microbiota,
converting the rhizosphere into a mycorrhizosphere and increasing tolerance to adverse
conditions like drought, salinity, and stress in the plants.
Mycorrhiza-The Multifunctional Biofertilizer
Authors: Hemalatha S. , Prasanth B. , Himasree B.
Published: April 2024

The role of fungi, particularly those selectively colonizing the root surfaces
of growing plants, in increasing the availability of phosphorus has received scanty
attention. The fungi arbuscular mycorrhiza (AM) has many beneficial effects on plant
growth, including enhanced nutrition, improved plant growth, and better biotic and
abiotic stress tolerance. Moreover, by improving the soil properties, the hyphal
networks of these AM fungi will minimize the risk of water and wind erosion. This
potential of AM fungi encourages a flourishing industry of AM-related substrates,
mainly in the plant production and landscaping sectors. Although the potential benefits
of AM fungi for some crops have been well documented, more research is needed to
determine their suitability for other crops. The various aspects, which are fully
reflected in this chapter, are mycorrhiza-history, classification, mode of action, crop
specificity, AM production technology, quality standards, and methods of analysis,
along with future opportunities for AM application.
Mycorrhiza and its Ecological Significance
Authors: Bharathi S. , Varier Deepthi
Published: April 2024

Mycorrhizae are important mutualistic associations seen among the majority
of terrestrial plants. The plant’s roots get infected by a specific group of fungi that
enrich the plant in various ways. Though the degree of association varies from one
plant to another, researchers and agricultural experts are well aware of the numerous
benefits it imparts to the plant. In turn, the fungi gain a nutritional and niche advantage
over the other microorganisms in the soil. The fungi involved in mycorrhizal
association usually belong to the Ascomycetes or Basidiomycetes groups. Some of
these fungi can form simultaneous mycorrhizal associations with multiple plant
partners. The specificity and great beneficial aspects of mycorrhizal associations have
been adopted to design strategies for increased yield of commercial crops.
Soil Inhabitant Bacteria: Journey from Rhizosphere to Eco-Holobiont Approach
Authors: Zodge Harshada , Koyande Pallavi , Salaskar Darshana , Mehetre Sayaji
Published: April 2024

The rhizosphere is the most active zone of soil and plays a significant role
in soil health management. The rhizosphere concept is more than a century old and has
played a pivotal role in understanding the mutual association of microbes and plants
over that period. This has opened many interesting facts about wonderful plant-microbe
associations. During these years, the concept has evolved from the rhizosphere to the
phyllosphere and more recently, to the holosphere/holobiont level. The earlier
understanding of how bacteria inhabit plants and, in particular, how bacteria feed
plants, has greatly expanded. Recently, it has been observed that plants take bacteria
inside their cells and use them as a source of nutrients (rhizophagy). This
understanding has completely changed the dimensions of the rhizosphere concept, and
we need to think more rationally to understand the bacteria-plant association during the
coming years. This chapter covers the wonderful overview of soil-inhabitant bacteria
with special emphasis on rhizobacteria in general and plant growth promotion for an
enhanced yield of crop plants in particular.
Planificación del desarrollo local en Santiago Texcalcingo (Oaxaca, México)
Authors: Ramos Soto Ana Luz , Hernández Hernández Beatriz Rebeca , Sepúlveda Aguirre Jovany
Published: April 2024

Objetivo: identificar los principales problemas en el eje social, económico y ambiental que presenta Santiago Texcalcingo (Oaxaca, México). Metodología: cualitativa descriptiva, mediante la investigación-acción participativa (IAP), tomada y adaptada por la Comisión Económica para América Latina y el Caribe (Cepal). Resultados: se observa que Santiago Texcalcingo, a través de su plan municipal de desarrollo, ha identificado los principales problemas en los ejes bienestar para todos, gobierno honesto, seguridad y paz, así como crecimiento y desarrollo, en que es necesario la participación de los distintos actores del municipio con la finalidad de generar y proponer alternativas de solución para brindar un bienestar y propiciar un desarrollo local integral. Conclusión: La planificación de desarrollo local es una herramienta útil para identificar las líneas de acción que se deben seguir a fin de establecer estrategias para alcanzar los objetivos planteados.
Effect of homogeneous generalized thermoelasticity on semiconductor layer under magnetic field on Green and Naghdi model without energy dissipation
Authors:   Department of Mathematics, Faculty of Science, Northern Border University, Arar, Saudi Arabia, Hendy Mohamed H. ,   Department of Mathematics, Faculty of Science, Al Arish University, Al Arish, Egypt, Khamis Alaa Kamal ,   Department of Mathematics, Faculty of Science, Northern Border University, Arar, Saudi Arabia
Published: April 2024

This paper aims to explore the impact of viscosity and time on the spread of thermoelastic waves within a uniform and isotropic three-dimensional medium subject to a thermal load on its surface. This study utilizes the temperature-rate-dependent thermoelasticity based on the GN model, specifically applying the GN II model of generalized thermoelasticity, which does not account for energy dissipation. The normal mode analysis technique is employed to address the non-dimensional coupled field equations, yielding precise formulas for displacement, stress, temperature distribution, and strain. This issue is further illustrated by graphically depicting the field variables for a material similar to copper alongside the corresponding results. Comparative analyses of numerical data, with and without considering viscosity effects, suggest that the wave propagation speed will be limited.
Sesgos en el Pronóstico del Precio en el Par de Divisas EURUSD: Evaluación Algorítmica y Gráfica de los Osciladores Estocástico y MACD
Authors: Gallegos Franklin
Published: April 2024

En el vasto y multifacético universo de los mercados financieros, el par de divisas EUR/USD emerge como un coloso, un ente que no solo refleja las complejidades económicas de Europa y Estados Unidos, sino que también actúa como un barómetro de la estabilidad y las tendencias financieras globales. Este libro, "Sesgos Técnicos en el Pronóstico del Precio en el Par de Divisas EURUSD: Evaluación Algorítmica de los Osciladores Estocástico y MACD", es una obra dedicada a evaluar la dinámica de este par de divisas, a través de la evaluación algorítmica y gráfica. La interacción entre el euro y el dólar estadounidense es mucho más que una mera transacción financiera. Representa un complejo entrelazado de políticas económicas, respuestas del mercado y, de manera crucial, las percepciones y reacciones psicológicas de los inversores a nivel mundial. En este contexto, la tarea de predecir los movimientos de precios en este par de divisas se convierte en un desafío formidable, plagado de incertidumbres y sesgos interpretativos. Este libro surge de la necesidad de comprender mejor estos desafíos, con el fin de orientar a inversores principiantes, estudiantes y académicos. En la presente investigación, se examinan y evidencian los errores comunes que pueden producirse en el pronóstico del precio basado en la información brindada por un solo indicador, y cómo estos se manifiestan en el gráfico. Como parte del estudio, se utilizarán para este fin los osciladores técnicos tradicionales y muy conocidos en el campo financiero, tales como el Estocástico y el MACD, siendo evaluados con un enfoque particular en el par EUR/USD. La metodología de backtesting, un pilar en el modelado financiero se emplea para revelar la verdadera naturaleza de las señales de estos indicadores, ofreciendo una visión más clara de su fiabilidad y eficacia, al igual que el análisis gráfico, que se enfoca en la interpretación del movimiento del precio a partir de su observación. El propósito de esta obra es doble. Primero, busca proporcionar a los operadores e inversores una comprensión más profunda y matizada de las herramientas que utilizan diariamente. Al identificar y comprender los sesgos en la interpretación de estos osciladores teniéndolos como única fuente de información, se puede mejorar significativamente la toma de decisiones en el trading, reduciendo el riesgo y maximizando las oportunidades de inversión rentable. Segundo, este libro invita a repensar y reevaluar las metodologías tradicionales que se han convertido en estándares en el mundo del comercio online de divisas.
Efficacy of a Multimodal Digital Behavior Change Intervention on Lifestyle Behavior, Cardiometabolic Biomarkers, and Medical Expenditure: Protocol for a Randomized Controlled Trial
Authors: Howard-Wilson Sakeina , Ching Jack , Gentile Sherri , Ho Martin , Garcia Alex , Ayturk Didem , Lazar Peter , Hammerquist Nova , McManus David , Barton Bruce , Bird Steven , Moore John , Soni Apurv
Published: April 2024

Background

The US Preventive Services Task Force recommends providers offer individualized healthy behavior interventions for all adults, independent of their risk of cardiovascular disease. While strong evidence exists to support disease-specific programs designed to improve multiple lifestyle behaviors, approaches to adapting these interventions for a broader population are not well established. Digital behavior change interventions (DBCIs) hold promise as a more generalizable and scalable approach to overcome the resource and time limitations that traditional behavioral intervention programs face, especially within an occupational setting.

Objective

We aimed to evaluate the efficacy of a multimodal DBCI on (1) self-reported behaviors of physical activity, nutrition, sleep, and mindfulness; (2) cardiometabolic biomarkers; and (3) chronic disease–related medical expenditure.

Methods

We conducted a 2-arm randomized controlled trial for 12 months among employees of an academic health care facility in the United States. The intervention arm received a scale, a smartphone app, an activity tracker, a video library for healthy behavior recommendations, and an on-demand health coach. The control arm received standard employer-provided health and wellness benefits. The primary outcomes of the study included changes in self-reported lifestyle behaviors, cardiometabolic biomarkers, and chronic disease–related medical expenditure. We collected health behavior data via baseline and quarterly web-based surveys, biometric measures via clinic visits at baseline and 12 months, and identified relevant costs through claims datasets.

Results

A total of 603 participants were enrolled and randomized to the intervention (n=300, 49.8%) and control arms (n=303, 50.2%). The average age was 46.7 (SD 11.2) years, and the majority of participants were female (80.3%, n=484), White (85.4%, n=504), and non-Hispanic (90.7%, n=547), with no systematic differences in baseline characteristics observed between the study arms. We observed retention rates of 86.1% (n=519) for completing the final survey and 77.9% (n=490) for attending the exit visit.

Conclusions

This study represents the largest and most comprehensive evaluation of DBCIs among participants who were not selected based on their underlying condition to assess its impact on behavior, cardiometabolic biomarkers, and medical expenditure.

Trial Registration

ClinicalTrials.gov NCT04712383; https://clinicaltrials.gov/study/NCT04712383

International Registered Report Identifier (IRRID)

RR1-10.2196/50378
Using AI-Based Technologies to Help Nurses Detect Behavioral Disorders: Narrative Literature Review
Authors: Fernandes Sofia , von Gunten Armin , Verloo Henk
Published: April 2024

Background

The behavioral and psychological symptoms of dementia (BPSD) are common among people with dementia and have multiple negative consequences. Artificial intelligence–based technologies (AITs) have the potential to help nurses in the early prodromal detection of BPSD. Despite significant recent interest in the topic and the increasing number of available appropriate devices, little information is available on using AITs to help nurses striving to detect BPSD early.

Objective

The aim of this study is to identify the number and characteristics of existing publications on introducing AITs to support nursing interventions to detect and manage BPSD early.

Methods

A literature review of publications in the PubMed database referring to AITs and dementia was conducted in September 2023. A detailed analysis sought to identify the characteristics of these publications. The results were reported using a narrative approach.

Results

A total of 25 publications from 14 countries were identified, with most describing prospective observational studies. We identified three categories of publications on using AITs and they are (1) predicting behaviors and the stages and progression of dementia, (2) screening and assessing clinical symptoms, and (3) managing dementia and BPSD. Most of the publications referred to managing dementia and BPSD.

Conclusions

Despite growing interest, most AITs currently in use are designed to support psychosocial approaches to treating and caring for existing clinical signs of BPSD. AITs thus remain undertested and underused for the early and real-time detection of BPSD. They could, nevertheless, provide nurses with accurate, reliable systems for assessing, monitoring, planning, and supporting safe therapeutic interventions.
Assessment of the Quality of Technophilia and Technophobia Validated Questionnaires for Management of Digital Health Interventions: Systematic Review and Delphi Consensus. (Preprint)
Authors: Ramírez-Pérez Laura , García-Conejo Celia , Trinidad-Fernández Manuel , Biró Attila , Escriche-Escuder Adrián , Roldán-Jiménez Cristina , Tang Weng , Salvatore Alfredo , Nikolova Borjanka , Muro-Culebras Antonio , Martín-Martín Jaime , Mayoral Fermín , Cuesta-Vargas Antonio Ignacio
Published: April 2024

BACKGROUND

Digitization has experienced a great growth in the last years and has emerged as a very promising tool for health interventions, but it is necessary to evaluate the variables that may influence the results of this intervention and are related with the patients such as rejection, addition, or stress due to the use of technological devices. In these terms, there is a evidence gap due to the fact there is no consensus regarding the questionnaires or scales to evaluate these variables.

OBJECTIVE

To synthesize the evidence about the relationship between patients and technological devices, and develop a questionnaire to measure levels of technophilia, technophobia and technostress.

METHODS

The systematic review included studies focused on the use of different questionnaires to evaluate the influence of technology on people. During the analysis, the data selected from each study were scale used, main variable, country and language used, sample size and study setting. In addition, for the development of the new questionnaire, Delphi procedure was used through the recruitment of ten experts, including software engineers, medical doctors, professors, and patients who completed two rounds of questionnaires.

RESULTS

Seven studies with a total of 3505 subjects were included. Among the studies, three of them evaluated technostress; two focused on technophobia, one assessed technophilia, and the other two studies combined the evaluation of technophobia and technophilia. Regarding the domains and items used, these were evaluated using Cronbach’s alpha scoring a range between 0.82 and 0.95. However, these results were greatly minor using other domains such as techno-communication avoidance device (0.491). Taking into account these domains, a questionnaire was constructed a priori and was refined through the two rounds of the Delphi panel, obtaining a new scale with three domains and eight items, establishing a minimum degree of agreement of 60% for priority items and 40% for secondary items.

CONCLUSIONS

A panel of experts were able to develop, based on the previous systematic review and on their own judgment, the eight items and the three domains to be included in the TECHNO-PROMS questionnaire, establishing a specific level of consensus, in order to plan a validation study for this scale.
Impact of job satisfaction and job burnout on nurses' turnover intention at X Regional Hospital
Authors: Puteri Daniyah Fitriyah , Syakurah Rizma Adlia
Published: April 2024

Introduction: As one of Indonesia's largest regional government-owned hospitals, Hospital X faces high nursing staff resignations, with turnover rates surpassing the ideal rate of 4%. Job dissatisfaction and burnout indication contribute to nurses' intention to leave. Consequently, this study analyses job satisfaction and burnout on nurses' turnover intention at X Regional Hospital. Methods: A cross-sectional study was conducted between November 14 and December 14, 2022. Data was obtained through Google Forms and distributed to 293 nurses with a total sampling technique. Data was analyzed using Structural Equation Modelling (SEM) with the assistance of SmartPLS 4 software. Results: As many as 274 respondents were declared willing to participate in this study. The job satisfaction has an insignificant negative influence on nurses' turnover intention. However, job satisfaction has a significant negative relationship with job burnout, and job burnout has a significant positive effect on nurse turnover intention and a significant adverse effect on job satisfaction. Demographic factors also significantly influence nurses' job satisfaction and job burnout. Then, in the indirect effect test, job burnout mediates the relationship between job satisfaction and nurses' intention to leave work. At the same time, demographics affect nurses' intention to leave work through their level of job burnout. Conclusion: However, the results indicate no significant influence of job burnout mediated by job satisfaction and demographic factors mediated by job satisfaction on turnover intention. Hence, HR management should support and implement proactive measures, including revising the SOP for nurse schedule exchanges. Additionally, counseling programs should be considered to address low personal achievement issues among nurses.
Optimization of Welding Parameters for Minimizing Defects and Porosity in Electric Arc Welding of Mild Steel Grade Fe 500 Using of Taguchi Method
Authors: Aryan Govind
Published: April 2024

Abstract: Electric arc welding is a widely used technique in industrial applications for joining metals, including mild steel grade Fe 500. However, the process is susceptible to defects such as porosity, which can compromise the integrity and quality of welds. In this study, we investigate the optimization of welding parameters to minimize defects and porosity in electric arc welding of mild steel grade Fe 500, utilizing the Taguchi method. The Taguchi method, known for its efficiency in optimization studies, is employed to systematically identify the most influential welding parameters and their optimal levels. Through a series of experiments based on the Taguchi orthogonal array design, we vary parameters such as current amperage, voltage, and electrode size to explore their effects on weld quality. The experimental results reveal significant insights into the relationship between welding parameters and defect formation. By analyzing signal-to-noise ratios and ultimate tensile strength, we quantify the effects of parameter variations on weld quality. The Taguchi analysis enables us to identify the optimal combination of welding parameters that minimizes defects and porosity while maximizing weld strength.
Visual Mind: Visual Question Answering (VQA) with CLIP Model
Authors: Sonawale Ruchita
Published: April 2024

Abstract: This paper proposes a Visual Question Answering (VQA) problem using CLIP models. The proposed approach suggests an enhanced VQA-CLIP model with additional layers for better computational performance. VQA is an increasingly important task that aims to answer open-ended questions based on images. This task has numerous applications in various fields such as medicine, education, and surveillance. The VizWiz dataset, specifically designed to assist visually impaired individuals, consists of image/question pairs along with 10 answers per question, recorded by blind participants in a natural setting. The task involves predicting answers to questions and determining when a question is unanswerable. In this study, we will utilize the VizWiz dataset and employ the CLIP model with an additional linear layer, a multimodal, zero-shot model known for its efficiency in processing image and text data. By leveraging the unique capabilities of CLIP, and benchmarked against state-ofthe-art approaches. Results indicate a competitive or better performance of the VQA model.
Safety Helmet for Miners
Authors: Jabade Vaishali
Published: April 2024

Abstract: The safety helmets basically aim at safety of miners reducing the risks of accidents. It also highlights the hazardous environments of mining and potential dangers that the workers face while working in mines. Safety helmets will be containing infrared sensors which keep track of the environment of the miner. It highlights the inherent risks miners face, including poor visibility, potential collisions, and hazardous conditions. The helmets are capable of alerting the miners from dangers. Infrared sensors can sense the heat signatures and obstacles in real-time resulting in spatial awareness. The helmets also consist of Arduino to enable real-time data processing and communication integration. The helmet also consists of LoRa which provide wireless communication between helmets and receiver ends, which would notify them in case of any emergency. The abstract concludes by enhancing the importance of IR-sensors, LoRa and Arduino which interfaces all of the above equipment.
The Future of Responsive Web Design: Challenges and Opportunities in Multi-Device Compatibility
Authors: Kaur Ms. Jasmeen
Published: April 2024

Abstract: The creation and use of websites has been completely transformed by responsive web design, which makes it possible for users to engage with websites seamlessly on a variety of devices, including desktop computers, Smartphone’s, and tablets. But as technology advances and new gadgets with different screen sizes, resolutions, and functionalities appear, responsive web design will face new possibilities as well as obstacles in the future. The present abstract delves into the dynamic field of responsive web design, emphasizing the difficulties and possibilities involved in accomplishing compatibility across several devices. An array of devices with distinct features and user experiences has resulted from the swift spread of mobile devices and the introduction of novel form factors, like smart TVs and wearable technology. Because of this, the task of designing and developing websites that are not only responsive to varied screen sizes but also offer the best possible user experience across a range of devices and operating systems falls to designers and developers. The future of flexible web design offers fascinating chances for imagination and creativity, despite these difficulties.
Early Performance Prediction of Students in Higher Education
Authors: Reddy N. Vamshi Vardhan
Published: April 2024

Abstract: An essential component of any evaluation of an educational institution is assessing the learning outcomes of its pupils. Student performance is important when addressing issues with the learning process and is one of the main variables used to quantify learning outcomes. The area of study referred to as the idea of using data knowledge to improve educational systems gave rise to educational data mining, or EDM. The creation of techniques for analyzing data gathered from educational settings is known as EDM. This allows for a more thorough and accurate knowledge of pupils as well as an improvement in their academic performance. Assessing the learning outcomes of students is an essential component of assessing any educational establishment. When addressing issues with the learning process, student performance is an important metric utilized to quantify learning outcomes
Construção de um guia para preenchimento dos indicadores do previne Brasil no prontuário eletrônico do cidadão
Authors: Gomes Lais Cristina Pereira da Costa , Araújo Lorena Gomes de , Vasconcelos Lidiane Assunção de , Duarte Leila do Socorro Santos
Published: April 2024

O programa Previne Brasil foi instituído pela Portaria nº 2.979, de 12 de novembro de 2019, como novo modelo de financiamento da Atenção Primária à Saúde (APS). Nesse contexto, nosso objetivo é relatar a experiência de elaboração de uma tecnologia educacional (TE) em formato de guia, para uso dos profissionais das Equipes de Saúde da Família (ESF), que visa o registro correto das informações dos indicadores do Previne Brasil no Prontuário Eletrônico do Cidadão (PEC). Trata-se de um relato de experiência de duas enfermeiras residentes do Programa de Saúde da Família Multiprofissional da Universidade do Estado do Pará, que aborda a elaboração e aplicação de um guia para auxiliar o preenchimento correto de informações referentes aos indicadores de desempenho do Previne Brasil no PEC. A construção do guia se deu a partir das normativas contidas nas notas técnicas do Ministérios da Saúde e dos conhecimentos práticos adquiridos no manuseio do PEC pelas autoras, em plataforma online gratuita de criação de projeto gráficos (Canva). Com um total de 20 páginas, o guia conta com uma apresentação em forma de fluxo simplificado com palavras-chave e imagens reais do PEC. O guia foi bem aceito pelos profissionais, uma vez que seu uso se mostrou prático, o que facilitou o registro das informações de forma mais clara e vantajosa, sendo uma excelente TE. Ademais, ressalta-se a importância de divulgar e compartilhar experiências exitosas que contribuam para melhorias no cenário da APS.
Palavras-chave: Atenção Primária à Saúde. Educação permanente. Tecnologia educacional.
Condição de saúde bucal de pacientes internados em um hospital público brasileiro
Authors: Santana Rodolfo dos Santos , Vita Waldecio dos Santos
Published: April 2024

Frequentemente, subestima-se a importância da manutenção da saúde bucal, negligenciando o fato de que infecções orais não se restringem à cavidade oral. O impacto das infecções orais, como cáries, doenças periodontais e outras patologias bucais não deve ser minimizado. Tais condições têm o potencial de desencadear complicações sistêmicas significativas, incluindo endocardite, pneumonia e até mesmo acidente vascular encefálico. O objetivo deste estudo foi descrever a condição de saúde bucal de pacientes hospitalizados em um hospital público brasileiro. Trata-se de um estudo transversal, que utilizou a análise de prontuários médicos de pacientes admitidos em uma instituição hospitalar pública brasileira e atendidos pelo serviço de odontologia da instituição. As afecções orais mais diagnosticadas, em ordem de frequência, foram: cárie dentária (40%), gengivite (23,7%), queilite angular (22,5%), doença periodontal (18,7%), candidose oral (7,5%), úlceras traumáticas (6,2%), lesão potencialmente maligna (2,5%) e herpes labial (2,5%). O estado de saúde e higiene bucal dos pacientes foi considerado precário. Parte significativa dos pacientes apresentou afecções bucais com potencial risco de complicações à saúde durante a internação e necessidade de tratamento odontológico invasivo e/ou de urgência. A saúde bucal no ambiente hospitalar tem um papel muito importante para a efetivação da saúde integral dos pacientes internados.
INTEGRASI NILAI-NILAI KEARIFAN LOKAL GUNA MENGOPTIMALKAN PROJEK PENGUATAN PELAJAR PANCASILA MADRASAH IBTIDAIYAH DI BOJONEGORO
Authors: Suttrisno Suttrisno , Rofi’ah Firda Zakiyatur
Published: April 2024

Integrasi nilai kearifan lokal dalam projek penguatan profil pelajar pancasila intinya peserta didik diajarkan menyelesaikan projek yang disiapkan oleh guru dengan mengusung kearifan lokal. Paradigma dalam kurikulum merdeka mencoba menggali kompetensi siswa melalui minat dan bakatnya dengan menggali keragaman global yang ada di lingkungan peserta didik agar peserta didik mengalami pengalaman belajar, internalisasi nilai, belajar sepanjang hidup dan mempertahankan kompetensi yang dimilikinya dengan karakter kuat berdasarkan nilai-nilai Pancasila yang diajarkan melalui nilai-nilai kearifan lokal yang ada di sekitarnya. Tujuan penelitian ini untuk mendeskripsikan integrasi nilai-nilai kearifan lokal Bojonegoro memalui konsep profil pelajar pancasila sehingga nantinya dapat diimplementasikan siswa dalam kehidupan sehari-hari. Metode yang digunakan adalah pendekatan kepustakaan (study literature). Berdasarkan hasil penelitian ada beberapa tahapan dalam mendesain projek penguatan profil pelajar pancasila berbasis tema kearifan lokal, antara lain: 1) Proses perencanaan projek penguatan profil pelajar Pancasila, 2) Proses mengidentifikasi kesiapan Madrasah dalam menjalankan projek, 3) Menentukan dimensi, tema, dan alokasi projek penguatan profil pelajar Pancasila, 4) Menyusun modul projek penguatan profil pelajar Pancasila, 5) Tahap terakhir adalah pengembangan asesmen projek penguatan profil pelajar pancasila. Penanaman pendidikan melalui proyek profil pelajar Pancasila yang diintegrasikan dengan kearifan lokal adalah langkah yang tepat karena selain menanamkan karakter juga menanamkan nilai-nilai budaya lingkungan sekitar.
DIGITAL LITERACY BASED ON LOCAL WISDOM IN INCLUSIVE EDUCATION
Authors: Munisa Munisa , Putri Utami Nurhafsari , Sari Wina Viqa , Fitri Nurul Aida
Published: April 2024

This study examines the role of digital literacy based on local wisdom in the context of inclusive education. Digital literacy is essential in modern education, especially in the current digital era. However, inclusive education, which encourages the participation of children with various special needs, often requires a more specific approach focused on local wisdom to achieve maximum success. This research discusses the concept of digital literacy, defines local wisdom, and outlines how integrating digital literacy based on local wisdom can support inclusive education. The results indicate that this approach can significantly enhance participation, learning, and the development of inclusive education.Keywords: digital literacy, local wisdom, inclusive education
Profil kemampuan berpikir komputasi siswa SMP pada soal tantangan bebras
Authors: Mustaqimah Utami Puspita Sabilla , Ni'mah Khomsatun
Published: April 2024

Penelitian ini bertujuan untuk mengeksplor kemampuan berpikir komputasi siswa SMP melalui pemberian soal Bebras Task. Metode yang digunakan adalah deskriptif kuantitatif dengan subjek penelitian yaitu 26 siswa SMP Al Huda Turalak kelas VIII. Data diambil menggunakan instrumen tes Bebras Task, dokumentasi, dan wawancara. Hasil penelitian menunjukkan bahwa kemampuan berpikir komputasi siswa secara umum baru mencapai 43%, dengan kemampuan pada setiap indikator yaitu decomposition sebesar 53%, pattern recognition sebesar 62%, abstraction sebesar 23%, dan algorithm sebesar 36%. Sehingga disarankan agar guru perlu melakukan upaya khusus untuk lebih mengoptimalkan kemampuan abstraction dan algorithm.
Editorial: Corporate law and governance — Globalised and interconnected
Authors: Andreadakis Stelios
Published: April 2024

The first issue of the Corporate Law & Governance Review features 10 articles, presenting interesting findings and vigorous scholarly debate on a wide range of topics. The authors of the articles used various research methodologies, thus covering a wide range of topics such as agrarian reforms, property rights, public housing policies, accounting information systems, international trade agreements, artificial intelligence, corporate governance during COVID-19. pandemic, regulatory impact assessment, employee rights and international arbitration. At the same time, the articles focus on various jurisdictions around the world: from the Western Balkans to Iceland and from Thailand to Indonesia.
Competitive capabilities and firm performance: A study among small rural firms
Authors: Vinayachandran Vidhya
Published: April 2024

Manufacturing micro, small, and medium enterprises (MSMEs) in a developing country plays a distinctive and decisive role in its economic development. Despite its importance, various challenges confront these units, dragging them to the point of closure. Consequent to such sudden shocks to the economy, and resource deficiencies, these units become unable to develop competencies crucial to their sustenance. The present research purports to study whether MSMEs in the manufacturing sector employ capabilities of innovation, human resource practices (HRP), information and communication technology (ICT), and intellectual property rights (IPR) that are vital to improving their performance. The study employs the theory of resource-based view (RBV) to identify the specific capabilities that make manufacturing MSMEs competitive, as reflected through better firm performance. A regression analysis is performed among 90 manufacturing MSMEs to determine the relationship between capabilities and firm performance (combined and individual). The capabilities that significantly and positively contribute to firm performance are found to be competitive, and vice versa. The findings unambiguously reveal that MSMEs in rural areas are at a stage of developing competencies; albeit the pace being relatively slow.
Generalized Time-Series Analysis for In-Situ Spacecraft Observations: Anomaly Detection and Data Prioritization using Principal Components Analysis and Unsupervised Clustering
Authors: Finley Matthew G. , Ledesma Miguel Martínez , Paterson William , Argall Matthew R , Miles David Michael , Dorelli John C. , Zesta Eftyhia
Published: April 2024

In-situ spacecraft observations are critical to our study and
understanding of the various phenomena that couple mass, momentum, and
energy throughout near-Earth space and beyond. However, on-orbit
telemetry constraints can severely limit the capability of spacecraft to
transmit high-cadence data, and missions are often only able to
telemeter a small percentage of their captured data at full rate. This
presents a programmatic need to prioritize intervals with the highest
probability of enabling the mission’s science goals. Larger missions
such as the Magnetospheric Multiscale mission (MMS) aim to solve this
problem with a Scientist-In-The-Loop (SITL), where a domain expert flags
intervals of time with potentially interesting data for high-cadence
data downlink and subsequent study. Although suitable for some missions,
the SITL solution is not always feasible, especially for low-cost
missions such as CubeSats and NanoSats. This manuscript presents a
generalizable method for the detection of anomalous data points in
spacecraft observations, enabling rapid data prioritization without
substantial computational overhead or the need for additional
infrastructure on the ground. Specifically, Principal Components
Analysis and One-Class Support Vector Machines are used to generate an
alternative representation of the data and provide an indication, for
each point, of the data’s potential for scientific utility. The
technique’s performance and generalizability is demonstrated through
application to intervals of observations, including magnetic field data
and plasma moments, from the CASSIOPE e-POP/Swarm-Echo and MMS missions.