bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring ESL Learners’ Reading Strategies Based on the Theory of Reciprocal Determinism
Authors: Yoke Chu Leong Irene , Kaur Maktiar Singh Kuldip , Keat Yeap Chun , Ranjethamoney Vijayarajoo Angeline
Published: September 2024

The purpose of this study is to explore the relationship between reading strategies and Bandura’s (1986) theory of Reciprocal Determinism. Previous research acknowledged the concept of Reciprocal Determinism as an effective teaching approach, however, limited research has been done to consider how reading is influenced by learners’ personal factors, behavior and environment. Based on four Research Questions, the study explores the perceived use of reading strategies by 225 undergraduates who completed a critical reading course at a local university. These learners of English as a Second Language responded to an online questionnaire adapted from Mokhtari and Sheorey’s (2002) Survey of Reading Strategies. Based on the learners’ ratings of the reading strategies, namely Global Reading Strategies, Problem-Solving Strategies and Support Strategies, the findings revealed that there is a significant relationship between the learners’ perceived use of reading strategies and the three factors of Reciprocal Determinism, namely Personal Factors, Behaviour and Environment indicating a cyclical effect that infuences learners’ reading comprehension. This exploration of reading strategies through this theory has pedagogical implications on how reading is taught to scaffold and help learners increase metacognitive awareness and self-efficacy. Overall, this study contributes to a further understanding of the importance of taking into account the three factors in a reading environment and the relationship between reading strategies and RD. Future studies could be an extension of how the cyclical effects of Reciprocal Determinism and reading strategies could be strategically integrated into the teaching of skilled and unskilled readers and in other learning domains.
Közúti járművekből kinyert online adatok kezelésének és feldolgozásának informatikai és jogi háttere megelőző javítási stratégia esetén
Authors: Nagy József , Lakatos István
Published: September 2024

A korszerű járművek informatikai architektúrája, valamint a telekommunikációs infrastruktúra fejlődése egy sor kényelmi és funkcionális szolgáltatást tesz lehetővé a járművezetők, üzembentartók és gyártók számára. Ezek kiépítésének, valamint kihasználásának két fő befolyásoló háttere van. Az egyik az online adatok (pl. üzemanyag szint vagy akkumulátor töltésiszint /SoC/ ill. mérési értékek a különböző vezérlőegységektől) tárolásának módja: magában a járműben vagy azon kívül egy felhőben / back end-en. A másik az adott ország jogszabályi háttere. Ezen belül általában a fő tényező a személyes (EU GDPR) és személyes telekommunikációs adatok védelmének (német TTDSG) közvetlen szabályozása vagy valamintközvetetten a termékfelelősséggel, azon belül is a „piacfigyeléssel” kapcsolatos gyártói kötelezettségek, rizikók.
Identifying the key motif essential for enhancing plant defense against Botrytis cinerea by β-glucanase from Bacillus velezensis LJ02
Authors: Sun Qi , Sun Tong , Yuan Yujin , Chang Ruokui , Yu Weiwei , Qiu Xiaohui , Wu Tianyi , Deng Anling , Li Zhuoran , Wang Yuanhong
Published: September 2024

The glycosyl hydrolase β-glucanase elicits plant immune responses against pathogens and enhances plant immunity by activating signaling pathways. The specific functional domains responsible for disease prevention remain unclear. In this study, transient expression of β-glucanase significantly increased leaves resistance to Botrytis cinerea in Nicotiana benthamiana systemic leaves. Through sequence alignment and similarity analysis, five conserved motifs in the amino acid sequence of β-glucanase were identified, and five deletion mutants were generated to investigate its essential regions further. Notably, the N-terminal amino acid sites 5-54 deletion mutation of β-glucanase decreased resistance to B. cinerea infection. These results indicate that N-terminal amino acids 5-54 (N54) are crucial for β-glucanase induced N. benthamiana defense response and for enhancing resistance to B. cinerea. Further analysis using real-time quantitative fluorescent PCR (qRT-PCR) revealed a significant reduction in gene expression within the N54 region compared to that of unmutated β-glucanase. Additionally, there was a notable reduction in the relative expression levels of FRK, CYP71D20, WRKY7, WRKY8, ACRE31 and PTI genes. Therefore, the first 50 amino acids at positions 5-54 within the N-terminal domain were essential for triggering plant defense responses and enhancing resistance against B. cinerea infection. This study provides an important theoretical foundation for systematic investigation into key functional domains within β-glucanase that trigger defensive responses in plants against B. cinerea.
The feeding behavior of Diaphorina citri monitored by using an electrical penetration graph (DC-EPG) on citrus plants treated with Bacillus cereus and Bacillus velezensis
Authors: Marisna Ike , Soffan Alan , Subandiyah Siti , Cen Yijing , Joko Tri
Published: September 2024

Diaphorina citri, an important pest and insect vector that can transmit the pathogenic bacteria Candidatus Liberibacter asiaticus, causing Huanglongbing disease, is one of many challenges in citrus agriculture. Integrated pest management by utilizing microorganisms is a wise and efficient alternative without damaging the environment. Utilization of Plant Growth Promoting Rhizobacteria (PGPR), such as Bacillus cereus and B. velezensis, is a potential strategy for the biological control of plant diseases or insect vectors. By inducing systemic resistance in plants, PGPR can enhance plant defense against diseases and insect pests while activating molecular and physiological changes in plants. This research aimed to determine the effect of B. cereus and B. velezensis on the plant growth and feeding behavior of D. citri. The height and volume of the plant canopy were observed periodically for 6 months, while the feeding behavior of D. citri was monitored using the Electrical Penetration Graph (DC-EPG). The results showed increased height and volume of the citrus plant canopy treated with B. cereus, indicating that B. cereus could act as a PGPR. The application of B. cereus and B. velezensis to citrus seedlings affected the feeding behavior of D. citri. D citri showed difficulty in penetrating the phloem tissue of citrus plants.
3D Printing and Biodegradable Polymers
Authors: Saparová Simona , Kovaľaková Mária
Published: September 2024

3D printing technology has a wide range of applications in many industries, including automotive, aerospace, biomedical, electronics and packaging, requiring different types of filaments to be used in producing 3D printed objects. The most commonly used materials are metals, ceramics, composites and plastics of which the latter are most available. Since it is necessary to reduce pollution caused by waste from conventional petroleum-based plastics, biodegradable polymers made from renewable resources or produced synthetically have gained in importance recently. Polylactic acid, poly(butylene succinate), thermoplastic starch, poly(butylene adipate co-terephthalate) and polycaprolactone are well-known representatives of this group of materials. They possess desirable properties for 3D printing which make them promising materials in many areas of applications.
Design and Implementation of a Cognitive Cloud Assistant: A Text Classification Model Approach
Authors: Vaľko Dávid , Kipikaša Jakub , Ádám Norbert , Khorshidiyeh Heidar
Published: September 2024

The main objective of this research was to develop a classification model for the design of a cloud cognitive assistant. The classification model should be able to classify the textual description of the cloud architecture into desired multiple classes. For the purpose of implementation of such assistant, the analysis of current state of cognitive assistants and cloud computing was researched. As for the implementation of classifier, the overview of the possible ways how to create such classifier was also added to the research. Based on the analysis, a solution was proposed for the implementation of a model for text classification, and also a proposal for the implementation of an assistant that would use the proposed model. The Keras library was used to create a sequential text classifier. The IBM Watson cloud services were used to deploy the created model into live environment, and the services from the same group were used to develop a proposed cognitive assistant that was in the end connected to the classifier model.
Advanced PSO Algorithms Development with Combined lbest and gbest Neighborhood Topologies
Authors: Yuriy Romasevych , Viatcheslav Loveikin , Ziv Brand
Published: September 2024

This paper introduces an innovative approach integrating global best (gbest) and local best (lbest) PSO communication topologies. The algorithm initiates with lbest and seamlessly transitions to gbest, with the switching rate controlled by the parameter “a”. Rational values of “a” is determined through numerical experiments. A comparative methodology employing two estimation criteria is used to showcase the improved performance of the modified PSO-based algorithms. Furthermore, the efficacy of this approach is demonstrated in addressing two optimal control problems within dynamical systems. Results highlight the modified algorithms’ superiority in terms of the total number of successful runs and statistical indicators. Consequently, these advanced algorithms prove effective for applications such as artificial neural network training, controller gains determination, and similar problem domains.
Energy-Efficient and Accelerated Resource Allocation in O-RAN Slicing Using Deep Reinforcement Learning and Transfer Learning
Authors: Sherif Heba , Ahmed Eman , Kotb Amira M.
Published: September 2024

Next Generation Wireless Networks (NGWNs) have two main components: Network Slicing and Open Radio Access Networks (O-RAN). NS is needed to handle various Quality of Services (QoS). O-RAN adopts an open environment for network vendors and Mobile Network Operators (MNOs). In recent years, Deep Reinforcement Learning (DRL) approaches have been proposed to solve some key issues in NGWNs. The primary obstacles preventing the DRL deployment are being slowly converged and unstable. Additionally, these algorithms have enormous carbon emissions that negatively impact climate change. This paper tackles the dynamic allocation problem of O-RAN radio resources for better QoS, faster convergence, stability, lower energy and power consumption, and reduced carbon emissions. Firstly, we develop an agent with a newly designed latency-based reward function and a top-k filtration mechanism for actions. Then, we propose a policy Transfer Learning approach to accelerate agent convergence. We compared our model to another two models.
Real-Time Hand Gesture Recognition: A Comprehensive Review of Techniques, Applications, and Challenges
Authors: Mohamed Aws Saood , Hassan Nidaa Flaih , Jamil Abeer Salim
Published: September 2024

Real-time Hand Gesture Recognition (HGR) has emerged as a vital technology in human-computer interaction, offering intuitive and natural ways for users to interact with computer-vision systems. This comprehensive review explores the advancements, challenges, and future directions in real-time HGR. Various HGR-related technologies have also been investigated, including sensors and vision technologies, which are utilized as a preliminary step in acquiring data in HGR systems. This paper discusses different recognition approaches, from traditional handcrafted feature methods to state-of-the-art deep learning techniques. Learning paradigms have been analyzed such as supervised, unsupervised, transfer, and adaptive learning in the context of HGR. A wide range of applications has been covered, from sign language recognition to healthcare and security systems. Despite significant developments in the computer vision domain, challenges remain in areas such as environmental robustness, gesture complexity, computational efficiency, and user adaptability. Lastly, this paper concludes by highlighting potential solutions and future research directions trying to develop more robust, efficient, and user-friendly real-time HGR systems.
Impact of Digital Technology on Processes at Universities from Teachers’ Perspective
Authors: Mabić Mirela , Gašpar Dražana , Praničević Daniela Garbin
Published: September 2024

Digital technology has become inseparable from all core and supportive processes because of the intensive use of different digital tools. The paper aimed to determine teachers’ views on the impact of digital technology on business processes in higher education institutions - whether they recognize the impact and how they evaluate it. The survey was conducted among the teachers of the public University in Bosnia and Herzegovina. The results show that digital technology has a positive and mostly strong or medium impact on business processes in higher education institutions. The work on international research and educational projects and the teaching process are the most influenced by digital technology. It has a stronger impact on the core processes than on supportive activities. Teachers recognize the influence of digital transformation on all processes at universities, both core and supporting. The influence is stronger with core processes.
Sustainable Development of Cycle Tourism Destinations in Croatia based on Innovative e-Tools
Authors: Ćućić Dražen , Herceg Krešimir , Horvatin Tin
Published: September 2024

Cycle tourism in Croatia is not just a significant economic contributor but also a driver of rural development and job creation in sectors like hospitality, tourism, leisure, and cycle path maintenance. The unique preferences of cycle tourists for authentic experiences and local culture also boost the local economy. This research, with its practical implications, aims to provide a comprehensive understanding of the level of awareness of e-innovation tools in Croatia’s cycling tourism sector, identify challenges and potentials in terms of technological change, and highlight infrastructural gaps in Adriatic versus continental Croatia using a SWOT analysis. The insights from this research can be instrumental in fostering sustainable and long-term destination development, making it a valuable resource for all professionals in the field.
Economic Perspective of Renewable Energy Sources: Security of Supply, Innovations, and Challenges
Authors: Dorić Barbara
Published: September 2024

Renewable energy sources are crucial for tackling the challenges of energy security and climate change. The mounting concerns about climate change, fossil fuel depletion, and energy security have heightened the focus on renewable energy. The shift to a global energy system that heavily relies on renewable sources, while promising, faces significant barriers that call for coordinated global efforts and innovative solutions. This article examines the technological advancements in renewable energy, evaluates their economic implications, and explores future trends and policy impacts. The core argument of this work is that, despite notable technological advancements, a significant breakthrough and a conducive investment environment are yet to be realised to enable the complete substitution of fossil fuels with renewable energy. It analyses current capacities, technological challenges, economic considerations, and various policies influencing the implementation of renewable energy projects. By conducting a comprehensive examination of the intermittency of energy production, limitations of energy storage, and the need for infrastructure modernisation, the economic implications of investing in renewable energy are assessed, alongside the potential of existing technologies to provide a sustainable alternative to fossil fuels. The article underscores the crucial role of increased investment, ongoing innovation, and global collaboration in overcoming existing challenges and ensuring a sustainable transition to renewable energy sources.
Tick Infestation of the Mediterranean Spur-Thighed Tortoises (Testudo graeca, Linnaeus, 1758) from Western Regions of Algeria
Authors: Ammar Selles Sidi Mohamed , Mokhtaria Kouidri , Ammar Ait Amrane , Belcacem Belhamiti Tahar , Achour Hamza , Taha Bia
Published: September 2024

The Spur-thighed tortoise has a large geographic distribution and can be infested by several tick species, mainly Hyalomma aegyptium. This tick has recently been confirmed as a natural carrier of numerous pathogenic, including zoonotic agents. The purpose of this study was to estimate the level of hard tick infestation in Mediterranean tortoises living in some regions of the west of Algeria (Oran, Mostaganem, and Tiaret) during the spring and summer of the year 2019. Among 39 turtles collected from the different study regions, 22 tested positive, which represents an infestation rate of 56.41 %. A total of 224 adult ticks and one nymph were collected, which can display a tick infestation intensity of 10.23 %. All of these ticks belong to a single species, which is Hyalomma aegyptium. In terms of abundance, this study showed 5.78 ticks/tortoise. Regarding sex, we have collected 198 male and 26 female ticks with a sex ratio of 7.62. The preferred attachment sites of Hyalomma aegyptium ticks were the inguinal, the limbs, and to a lesser degree, the neck. A few rare cases have been collected from the carapace. Further studies are needed to assess the impact of the intensity of H. aegyptium infestation on the tortoise’s health status and to assess the potential transmission of zoonotic pathogens.
Effects of Time Storage, Egg Yolk Concentration and Semen Washing on Sperm Motility in Arbia Bucks
Authors: Tahar Belhamiti B. , Amar Ait Amrane , Ammar Selles S. M. , Mohammed Hammoudi S. , Redha Benia A. , Mokhtaria Kouidri , Rachid Kaidi
Published: September 2024

With a prospect to improve goat artificial insemination, this study aims to evaluate the effects of storage time, egg yolk concentration and semen washing on the rate of motile spermatozoa (spz) in Arbia breed bucks semen stored at 5 °C for 48 h. Semen was collected from three mature bucks using an artificial vagina during December 2018. The ejaculates used in this study (rate of motile sperm > 75 %) were divided into two fractions: A, and B, (unwashed and washed samples, respectively): themselves divided into three fractions, and diluted in Tris-Acid citric based extenders, containing egg yolk at 2 %, 10 % and 20 %. ANOVA test was performed using the R software version 3.3.0. The rate of motile spermatozoa was evaluated after 24 and 48 hours of storage in the refrigerator at 5 °C. It registered a significant decrease as a function of the storage time in the different extenders. It varied between 42.43 ± 9.86 % and 61.29 ± 5.44 %, after 24 hours of storage, and between 35.86 ± 13.95 %, and 55.45 ± 11.65 % after 48 hours of storage. The semen washing significantly reduced the rate of motile spermatozoa in the different extenders. Increasing the concentration of egg yolk in the extender increased the rate of motile spermatozoa, especially during the first 24 hours of storage. In conclusion, the rate of spermatozoa motility of unwashed semen stored at 5 °C is higher in extenders containing high egg-yolk concentration, and decrease according to conservation time.
Deposit Channel of Monetary Policy in European Countries
Authors: Savluk Serhii , Breheda Olena
Published: September 2024

This paper focuses on the first link of the monetary transmission mechanism – interest rate channel. It forks on two subchannels: credit vein and deposit vein. We will investigate the second one, i.e. the impact of the discount (also key, reference) rate of a central bank on the deposit policy of commercial banks. Deposit channel is a very rarely treated as a separate line of the monetary policy from the credit channel. On the basis of VAR analysis of monthly data over several-years period on the banking system of Ukraine, Poland, and Montenegro we found out a tendency of the discount rate to impact banks’ deposit rates changes with some lag of time. The tightest liaison between these indicators is observed during the periods of discount rate stability and sloping down. However, sensitivity of banks‘ deposit rates is lost when the discount rate is rapidly increased during the periods of restrictive monetary policy. It was defined that the essential reason for such picture is an extra liquidity of the banking system. On the one hand, it symbolizes the soundness of banking system, while from the other it makes more difficult for a central bank policy to absorb extra liquidity from the market to reduce pressure on prices. The paper contains some thoughts for increasing effectiveness of restrictive monetary policy in such periods.
To What Extent Does Central Bank Independence Alleviate Poverty in Developing Countries?
Authors: Rabhi Ayoub
Published: September 2024

This paper investigates the nexus between poverty and central bank independence in developing countries. The study examines data from up to 35 developing countries from 2000 to 2018. Using the GMM dynamic panel data method, the study finds that de jure central bank independence is more robust than de facto in reducing inflation. However, the effect of de facto central bank independence is significant in reducing poverty, while de jure central bank independence is not. The paper concludes that central bank independence may play a role in managing inflation in developing countries with high inflation and could relatively contribute to poverty reduction in these countries.
Central Bank Independence and Inflation Under Asymmetric Information: Delegation vs. Seesaw Effects
Authors: Elgin Ceyhun , Öztunalı Oğuz
Published: September 2024

Recent empirical research finds little or mixed evidence in favour of a negative relationship between central bank independence and inflation. In this paper, we construct a theory where the relationship between inflation and central bank independence depends on the extent of informational asymmetry regarding the government’s efficiency in its provision of public goods and also provide some empirical support for it. In the theoretical part of the paper, we introduce the degree of central bank independence as a fixed cost that is paid when the government (whose objective is to minimize output gap via inflation or costly fiscal expansion) rejects the monetary policy proposal of the central bank (which aims to minimize inflation) and determines both fiscal and monetary policies itself. Government efficiency in providing public goods, i.e. the cost of fiscal expansion, is the private information and the source of informational asymmetry in our model. In this setting, increasing the fixed cost of rejecting the central bank’s offer creates two opposite effects on inflation: delegation effect and seesaw effect (since fiscal and monetary expansion are substitutes for the government, now it relies more on fiscal expansion). We show that while the magnitude of the delegation effect is equal to or higher than the seesaw effect, the magnitude of each effect depends on the current level of the fixed cost. If the current fixed cost is not high enough, then a small improvement in central bank independence creates a relatively smaller delegation effect compared to the case where fixed cost is high enough and both efficient and inefficient government types accept the offer.
China-Taiwan Issues in the Security Climate of East and Southeast Asia
Authors: Paşca Vasile
Published: September 2024

The security architecture of East and Southeast Asia is in a process of extensive change, driven by the rising Chinese state, but also by the US, which, with its military and institutional power here, is a pillar of stability that seeks to preserve American supremacy and the liberal international system. Current developments show that some of China’s neighbors are no longer inclined simply to fall in line with Beijing’s policy, but rather are determined to challenge its inclination towards regional hegemony, and are arming themselves to do so, diversifying its security relations and forging strong ties with the US, denouncing China’s attempts to create a sino-centric system based on building an ‘Asian’ security and economic architecture, translated into institutional arrangements based on cooperation mechanisms centered on (and for the benefit of) the Chinese state.
Infantry Weapon Systems Used by Special Operations Forces to Carry Out Assigned Missions
Authors: Popescu Stelian
Published: September 2024

Special Operations Forces (SOF) operate in dynamic, challenging environments, requiring accurate and versatile infantry weapon systems to effectively perform their assigned missions. This article provides a comprehensive review of the diverse range of infantry weapon systems used by SOF units in different theatres of operations. Through a synthesis of empirical data, operational perspectives and expert analysis, the study aims to elucidate the critical role of specialised weaponry in increasing the success rate of SOF missions. The analysis covers a broad spectrum of weapon platforms, each tailored to meet distinct mission requirements. In addition, the article explores the integration of advanced technologies into weapon construction, such as high-performance optical systems, silencers and other modular accessories, which enhance the lethality, accuracy and stealth capabilities of special forces units.
Understanding Underperformance in EFL Students: Factors Affecting the Comprehension of Writing Assignments
Authors: Mitrulescu Corina Mariana
Published: September 2024

When it comes to effectively advancing the educational process by motivating students to become engaged with course material and exercise independent thought, assignments are essential. This paper focuses on how to help EFL students to read and understand correctly their academic assignments while emphasizing the importance of comprehension skills and critical thinking. The paper includes a structured approach that outlines a comprehensive framework for teaching EFL students how to read assignments effectively by integrating both theoretical insights and practical classroom applications. It also shows how correctly understanding an assignment facilitates students’ success and motivation development. The discussion sparked in this paper is supported by both theoretical insights and some practical examples.
Developing a Performance Management Support System for Employees with Hidden Disabilities
Authors: Smith Gregory Karl
Published: September 2024

This document outlines a strategy for the Aero Missile and Defense Conglomerate (AMDC) to support employees with hidden disabilities, following a survey revealing that 40% of employees have such conditions. GK Consulting proposes a performance management support system focused on education, accommodations, and Americans with Disabilities Act (ADA) compliance. Key components include Data Collection - surveying prevalence and types of hidden disabilities, and assessing current accommodations; Accommodations - implementing flexible work schedules, customized communication methods, assistive technologies, and mental health support; Leadership - applying transformational leadership to foster an inclusive workplace; Organizational Culture - using Schein’s Organizational Culture Model to align values with disability inclusion; Change Management - employing Kotter’s Eight-Step Change Model for sustainable implementation; and PESTEL Analysis - considering external political, economic, social, technological, environmental, and legal factors. The strategy aims to create a supportive and inclusive environment, enhancing AMDC’s culture, driving innovation, and positioning the company as an inclusive employer where all employees can thrive.
Application of Cluster Analysis in the Evaluation of Automotive Fuel Prices Marketed in Goiás
Authors: Santos Neto Agenor Sousa , Santos Layara de Paula Sousa , Silva Marli Santos da
Published: September 2024

Objective: The aim of this study is to present economic indicators constructed through cluster analysis, aiming to identify which gas station brands offer the lowest overall fuel prices.
 
Theoretical Framework: The increasing demand for low-cost products, particularly automotive fuels, is a constant in the Brazilian market, significantly impacting both the economy and consumers' daily lives. This scenario underscores the analysis of prices as a crucial tool for understanding market behavior.
 
Method: Data were obtained from the open data portal of the National Agency of Petroleum, Natural Gas and Biofuels (ANP), focusing on the historical price series of regular gasoline, premium gasoline, and ethanol in the state of Goiás. Cluster analysis was employed to group eight gas station brands into three distinct clusters.
 
Results and Discussion: Findings reveal that Rodoil offers the lowest overall fuel prices, whereas Alesat, Ciapetro, and Raízen have the highest overall prices. These discoveries provide valuable insights into the competitive dynamics of the fuel market in Goiás.
 
Research Implications: The significant debates generated in society by the rising prices of gasoline, ethanol, and other products such as cooking gas and diesel underscore the urgent need to revise fuel pricing policies in the country.
 
Originality/Value: This study contributes uniquely by applying cluster analysis to identify price patterns among different gas station brands, offering an innovative approach to understanding competitiveness in the fuel distribution sector in Goiás.
Collaboration Model Between Stakeholders in Optimizing Regional Budget Allocation as a Strategy to Reduce Poverty and Inequality
Authors: Oktavilia Shanty , Fafurida  , Rahayu Nurjannah , Marpaung Grace Natalia , Yusfi Reikha Habibah , Adzim Fauzul
Published: September 2024

Objective: This research aims at composing a model for sharpening regional budget allocation as a strategy to reduce poverty and inequality in Central Java.
 
Method: This research applied mixed methods consisting of quantitative and qualitative analysis. The data used are primary data from key persons selected by purposive sampling. The data were collected by Focus Group Discussion (FGD) and questionnaires. This research used Mactor Analysis (Matrix of Alliances and Conflicts Tactics, Objectives and Recommendations) as the analysis method.
 
Results and Discussion: The results of research indicate that stakeholders with the strongest influence are Regional Economic Bureau of Kebumen, Regional Development Planning Agency of Pati Regency, and Regional Development Planning Agency of Banyumas Regency. Viewed from the relationship among actors and objectives, banking is an actor with the strongest support for the objective of increased access to capital and financing for small and medium enterprises.
 
Research Implications: The application of clean technology will increase the production efficiency and then will increase the economic output. This research contributes to the development of global policies that drive the balanced and environmentally-friendly growth in the whole world.
 
Originality/Value: Theoretically, this research enriches the literature on local budget management and provides new insights into how fiscal strategies can be integrated with social objectives, especially in the context of regions with diverse socioeconomic characteristics.
Assessment of the environmental level of impact of road construction complex objects at the design stage
Authors: Шестаков Николай Игоревич , Федюк Роман Сергеевич , Чертес Константин Львович
Published: September 2024

В статье рассматриваются вопросы разработки и апробации интегрированной методики оценки уровня воздействия объектов дорожно-строительного комплекса на различные аспекты окружающей среды. Цель исследования заключается в повышении точности прогнозирования экологических последствий при проектировании новых объектов инфраструктуры. Методы исследования включают применение математической модели, основанной на уравнении адвекции-диффузии с дополнением Гауссова распределения для оценки распространения загрязнителей. Эта модель позволяет учитывать как прямое перемещение, так и диффузное распространение загрязняющих веществ, что способствует более точному моделированию их поведения в различных условиях. Результаты исследования демонстрируют, что предложенная методика позволяет эффективно прогнозировать изменения в концентрациях загрязнителей в атмосфере на различных расстояниях от источника. Основные выводы подчеркивают, что интегрированный подход значительно улучшает качество экологической оценки воздействия строительства, предоставляя более надежные данные для принятия управленческих решений. Статья отражает применение комбинированного адвективно-диффузионного подхода с Гауссовым распределением для оценки динамики распространения загрязнителей в реальном времени и пространстве, что представляет собой значительное улучшение по сравнению с традиционными методами, фокусирующимися преимущественно на статическом анализе.

The article discusses the development and validation of an integrated methodology for assessing the impact of road construction complex objects on various aspects of the environment. The research aim is to improve the accuracy of predicting environmental consequences in the design of new infrastructure projects. Research methods include the application of a mathematical model based on the advection-diffusion equation supplemented with Gaussian distribution to assess pollutant dispersion. This model allows for both direct and diffusive pollutant spread, contributing to more accurate modeling of their behavior under different conditions. The study results demonstrate that the proposed methodology effectively forecasts changes in pollutant concentrations in the atmosphere at various distances from the source. The main findings emphasize that the integrated approach significantly enhances the quality of environmental impact assessment of construction, providing more reliable data for managerial decision-making. The article reflects the application of a combined advection-diffusion approach with Gaussian distribution to assess real-time and spatial dynamics of pollutant dispersion, representing a substantial improvement over traditional methods primarily focusing on static analysis.
Principles and techniques for the formation of architectural and landscape complexes in coastal areas
Authors: Копьёва Алла Васильевна , Ткачева Софья Сергеевна , Масловская Оксана Владимировна
Published: September 2024

Актуальность формирования архитектурно-ландшафтных комплексов обусловлена необходимостью обеспечения устойчивости прибрежных территорий, предполагающей восстановление экологического равновесия и создание комфортной городской среды. Изучаемая проблема является актуальной в связи с недостаточной проработанностью принципов и приемов формирования архитектурно-ландшафтных комплексов на прибрежных территориях. Цель данной работы – выявление принципов и приемов формирования архитектурно-ландшафтных комплексов на прибрежных территориях. Проведен анализ теоретических исследований, посвященных изучению устойчивости городов, их прибрежных территорий, а также практического опыта проектирования объектов, относящихся к категории прибрежных архитектурно-ландшафтных комплексов. На основе изучения теоретического и практического опыта сформулированы принципы и приемы формирования архитектурно-ландшафтных комплексов на прибрежных территориях.

The relevance of the formation of architectural and landscape complexes is due to the need to ensure the sustainability of coastal areas, which involves restoring ecological balance and creating a comfortable urban environment. The problem under study is relevant due to the insufficient elaboration of the principles and techniques for the formation of architectural and landscape complexes in coastal areas. The purpose of this work is to identify the principles and techniques for the formation of architectural and landscape complexes in coastal areas. An analysis of theoretical studies devoted to the study of the sustainability of cities, their coastal territories, as well as practical experience in the design of objects belonging to the category of coastal architectural and landscape complexes was carried out. Based on the study of theoretical and practical experience, principles and techniques for the formation of architectural and landscape complexes in coastal areas are formulated.
Making room for everyone
Authors: Petric Alex , Parker Dawn C. , Geobey Sean , Wright Kirsten
Published: September 2024

Over the past decade, Waterloo Region has experienced significant population growth and a resulting wave of housing construction, but house prices and rents have continued to rise. To tackle the broader housing crisis affecting Ontario and Canada, calls for increased housing construction have grown, but advocates often emphasize quantities of homes needed without considering housing type or household composition of populations in need. We analyze publicly available data to compare temporal and spatial trends in housing construction and population growth across Waterloo Region. We also assess housing indicators across household types and various socio-economic indicators to highlight groups deserving greater attention in community planning efforts. Based on our findings, we advocate including equity-based analysis in future housing and land needs assessments. We further discuss the potential for “missing middle” housing to address a wider variety of household needs and propose options for municipalities looking to support greater housing diversity.
Metabolic Acidosis in a Diabetic Patient Treated by Jardiance
Authors:   Geriatrics Department, MB Minthe
Published: September 2024

Patients affected by Type II Diabetes are often subjected to multi-drug therapy, thus they are at risk of developing several side effects. Metabolic acidosis is one of these. It has often been identified as a side effect during treatment with Metformin,
Immunodeficiency: Quantitative and qualitative phagocytic cell defects
Authors: Mickey David , Camacho Juanita Valdes , Khan Adil , Kaufman David
Published: September 2024

The immune system is divided into two major branches: innate and adaptive. The innate immune system is the body's first line of defense and rapidly responds in a nonspecific manner to various microorganisms, foreign materials, or injuries. Phagocytes, which include macrophages, monocytes,
and neutrophils, are innate immune cells that can surround and kill microorganisms, ingest foreign material, and remove dead cells. They also indirectly boost both innate and adaptive immune responses through various activation signals. Phagocytic defects characteristically lead to fungal
and bacterial infections of the respiratory tract, lymph nodes, skin, and other organ systems, and they are commonly associated with inflammatory bowel disease. This primer will review high-yield innate defects of phagocytic cells, including defects of respiratory (oxidative) burst, defects
of neutrophil migration, cyclic and severe congenital neutropenias and associated disorders, and other phagocyte defect disorders.
Immunoglobulin therapy for immunodeficiency
Authors: Wilson Bridget E. , Freeman Catherine M.
Published: September 2024

Immunoglobulin replacement is donor-derived pooled immunoglobulin G, which provides passive immunity to patients with antibody deficiency or dysfunction. It may be administered via either intravenous or subcutaneous routes. Intravenous immunoglobulin is administered at higher
doses every 3‐4 weeks, whereas most forms of subcutaneous immunoglobulin are administered at lower doses, usually every 1‐2 weeks. Benefits and risks, including adverse effects, convenience, and cost vary according to route of administration. Immunoglobulin products also differ
in their composition, so patient-specific comorbidities are important to consider when selecting an immunoglobulin product. We discuss adverse effects associated with immunoglobulin therapy, their associated risk factors, treatment, and ways to mitigate these risks. Finally, the laboratory
monitoring and vaccination recommendations for patients on immunoglobulin replacement therapy are reviewed.
Nuevas formas de conocimiento: locura, espacio mítico y espacio religioso en El zorro de arriba y el zorro de abajo de José María Arguedas
Authors: Osiris Ruiz Mayco
Published: September 2024

Este artículo se propone estudiar El zorro de arriba y el zorro de abajo de José María Arguedas en tanto desviación de la visión utópica presente en otras obras del autor. Para ello, se parte de un horizonte de lectura que examina la manera en que las entradas del diario refractan y se aúnan al discurso novelesco, replicando en espejo una tragedia de dobles dimensiones: la del universo escrito y la del escritor. Dichas tensiones, producto del agotamiento de las fuerzas creadoras y del avance irrefrenable de la muerte, conducen a la búsqueda de modelos alternativos, de un sentido posible y arraigado en el ámbito del mito, la locura y la religión. Dichos modelos emergen como herramientas que intentan religar las matrices de una cultura en crisis, mediante la creación de un espacio mestizo en donde se encadenan y moldean los principios de un nuevo orden posible, de un llamado no tanto a la utopía como a la comprensión.
Emerging Epistemologies: Madness, Mythical Space, and Religious Space in José María Arguedas’ El zorro de arriba y el zorro de abajo
Abstract
This article aims to examine El zorro de arriba y el zorro de abajo by José María Arguedas as a deviation from the utopian vision present in the author’s other works. The analysis begins by exploring how the diary entries refract and intertwine with the narrative discourse, reflecting a dual-tragedy: that of the fictional universe and the writer himself. These tensions, stemming from the depletion of creative forces and the relentless advance of death, prompt the quest for alternative models, seeking meaning rooted in the realms of myth, madness, and religion. These models emerge as tools attempting to reconnect the matrices of a culture in crisis, by creating a mestizo space where the principles of a new possible order are interlinked and shaped, inviting not so much to utopia as to understanding.
Recibido: 13 de marzo de 2024Dictaminado: 19 de julio de 2024Aceptado:  30 de julio de 2024
Evolutionary Search for Cellular Automata Logic Gates with Collision-Based Computing
Authors: Sapin Emmanuel , Bull Larry ,   Faculty of Computing, Engineering, and Mathematical Sciences, University of the West of England, Bristol, BS16 1QY, UK
Published: September 2024

We aim to search for cellular automata candidates using an automatic system for the demonstration of collision-based universality. Some of these candidates are able to simulate Turing machines in their space-time dynamics using gliders and glider guns. In this paper, we present an evolutionary algorithm that searches for the simulation of a logic gate by cellular automata. Different parameters are tried and other search techniques are also presented to provide a benchmark.
Experimental Study on a Liquid Hydrogen Tank for Unmanned Aerial Vehicle Applications
Authors: Gavrilovic Nikola , Mertika Sofia , Moschetta Jean-Marc , Schimpf Joshua , Park Gyeongbae , Kim Seo Young
Published: September 2024

A lightweight, 12 L liquid hydrogen fuel tank has been designed, fabricated, and tested with the aim of optimizing boil-off rates while minimizing the weight of a complete propulsion system intended to be integrated into an unmanned aerial vehicle. After looking at several different insulation schemes, the system was optimized as two concentric, lightweight titanium cylinders with high vacuum and multilayer insulation in between. The thickness of the multilayer insulation and the design of support structures were optimized to reduce the overall weight of the tank. This paper focuses on characterizing the boil-off rate of a small liquid hydrogen tank in relation to ambient temperature and fuel level. Additionally, it addresses the analysis of the instrumented transfer line between the reservoir and the operating fuel cell, presenting pressure and temperature measurements for each component of the transfer line. The efficiency of the heat exchanger under natural and forced convection is also discussed. The key contribution of the experimental campaign lies in demonstrating an average boil-off rate of [Formula: see text] over 45 h. This significantly surpasses the limits of ultra-long-range flight achievable with alternative electric energy sources. Furthermore, the paper highlights the importance of the variable boil-off with time and its impact on aircraft performance.
First Failure Load of Rectangular Laminated and Sandwich Plates Using Isogeometric Analysis
Authors: Farzam Amir , Batra Romesh C. , Kapania Rakesh K.
Published: September 2024

This paper investigates the first failure load of simply supported and clamped laminate and sandwich plates loaded by a distributed normal traction on the top surface. A third-order shear and normal deformable plate theory, the isogeometric basis functions, and five failure criteria, namely, the maximum stress, the Tsai–Wu, the Tsai–Hill, the Hoffman, and the Hashin for laminated plates, and only the Tsai–Hill criterion for sandwich plates are used in this study. Of these, Hashin’s criteria distinguish between the fiber and the matrix failure. The in-plane stresses are found from the plate displacements and Hooke’s law, and the transverse stresses are recovered by integrating the equilibrium equations through the thickness. Effects of the plate aspect ratio, the fiber angle, the face sheet materials, and the core materials on the first failure load are identified. The computed results are found to agree well with those reported in the literature. Whereas the five failure criteria for laminated plates predict nearly the same value of the first failure load, they do not provide the same location of the failure initiation.
Drag Modeling Effects on Simulations of Supersonic Jet-Induced Cratering in a Soil
Authors: Jalabert Maxime , Bellan Josette
Published: September 2024

The impact of the drag model in the simulation of turbulent granular flows is studied using databases here created through simulations of supersonic jet-induced cratering in granular soil. The simulations are based on a previously developed model, which was shown to be hyperbolic, thus permitting the unhindered propagation of pressure waves critical to craters produced by supersonic plumes. The goal is to identify predicted quantities from these simulations that show sufficient differences among simulations performed with different drag models; these quantities would warrant future experimental investigations determining which model is correct. Among all drag models examined, only two models are found applicable to the regime of investigation. Examination of the databases is conducted from the viewpoint of global quantities and detailed quantities. The results show that isocontours and characteristic length scales are minimally affected by the employed drag law. In contrast, azimuthally averaged and root mean square ejecta-related quantities are more sensitive to the drag model employed, but only in the central part of the crater. This sensitivity is much larger for shallow craters having a parabolic cross section than for deep craters having a conical cross section, thus indicating the experimental configuration best suited to experimentally evaluating drag models.