bluuebunny/crossref_metadata_2025 huggingface dataset:
Collaborative graph contrastive learning for recommendation
Authors: Wei Tao , Yang Changchun , Zheng Yanqi , Zhang Jingxue
Published: April 2024

Recently, Graph Neural Networks (GNNs) using aggregating neighborhood collaborative information have shown effectiveness in recommendation. However, GNNs-based models suffer from over-smoothing and data sparsity problems. Due to its self-supervised nature, contrastive learning has gained considerable attention in the field of recommendation, aiming at alleviating highly sparse data. Graph contrastive learning models are widely used to learn the consistency of representations by constructing different graph augmentation views. Most current graph augmentation with random perturbation destroy the original graph structure information, which mislead embeddings learning. In this paper, an effective graph contrastive learning paradigm CollaGCL is proposed, which constructs graph augmentation by using singular value decomposition to preserve crucial structure information. CollaGCL enables perturbed views to effectively capture global collaborative information, mitigating the negative impact of graph structural perturbations. To optimize the contrastive learning task, the extracted meta-knowledge was propagate throughout the original graph to learn reliable embedding representations. The self-information learning between views enhances the semantic information of nodes, thus alleviating the problem of over-smoothing. Experimental results on three real-world datasets demonstrate the significant improvement of CollaGCL over state-of-the-art methods.
Evaluation of multimodal data-driven financial risk prediction methods for corporate green credit
Authors: Wang Ke , Gu Tianrui , Du Xiaoye
Published: April 2024

With the rapid economic development and increasingly serious environmental problems, many regions have launched green credit policies. Green credit can reduce the loan interest rate of the environmental protection industry and lower the financing threshold. Traditional risk prediction methods cannot comprehensively evaluate the green credit risk of the enterprise based on the degree of green environmental protection and the industry environment in which the enterprise is located, resulting in the inconsistency between the credit financial risk prediction and the actual results, which increases the bank credit risk. In order to strengthen the management level of green credit and reduce the probability of non-performing loans, a scientific risk assessment method was constructed by using a combination of automatic encoding network and bidirectional long short-term memory neural network model to predict the financial risks of green credit, driven by multi-modal data. Through the study of multimodal data, this paper took green credit financial risk as the research object, aggregated the information of various enterprises to improve the bank’s capital utilization rate, and also promoted enterprises to take the initiative to transform into the direction of green environmental protection. Finally, the experiment proved that multimodal data fusion model was more superior than random forest in risk prediction, reducing the bank’s non-performing loan rate by 3.1% and improving the bank’s risk control level.
Green knowledge management capability assessment based on interval-valued intuitionistic Fuzzy EWM-TOPSIS-Sort-B
Authors: Su Jiafu , Xu Baojian , Liu Hongyu , Chen Yijun , Zhang Xiaoli
Published: April 2024

As an emerging concept in knowledge management (KM), green knowledge management plays a crucial role in the sustainable development of enterprises. A reasonable assessment of an enterprise’s green knowledge management capabilities can help the company effectively manage the embedded green knowledge within its operational processes, thereby achieving self-reinforcement of competitive advantages for the enterprise. Therefore, this paper proposes a multi-criteria classification method based on interval-valued intuitionistic fuzzy entropy weight method-TOPSIS-Sort-B (EWM-TOPSIS-Sort-B) to assess the green knowledge management capabilities of enterprises. In this method, expert assessments are expressed using interval-valued intuitionistic fuzzy sets. A new entropy weight method is introduced into TOPSIS-Sort-B to determine the weights of various evaluation indicators, and TOPSIS-Sort-B is employed to classify and rate each evaluation scheme. It is worth noting that this paper has improved the TOPSIS-Sort-B method by not converting interval-valued intuitionistic fuzzy sets into precise values throughout the entire evaluation process, thus avoiding information loss. Finally, we applied a case of knowledge management capability assessment to validate the proposed method, and conducted sensitivity analysis and comparative analysis on this approach. The analysis results indicate that variations in the parameter ϑ of the interval-valued intuitionistic fuzzy aggregation operator lead to changes in criterion weights and the comprehensive evaluation matrix, resulting in unordered changes in the final classification results. Due to the absence of transformation of interval values in this study, compared to the four classification methods of TOPSISort-L, the classification results are more detailed, and the evaluation levels are more pronounced.
RETRACTED: Group travel recommendation model study based on spatial and temporal integration factors
Authors: Ren Xinyu , Yang Wanhe , Yang Hui
Published: April 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
A few-shot target detection method for wildfires: Research example of Fujian Province, China
Authors: Yang Dianqing , Wang Wenliang
Published: April 2024

Unmanned aerial vehicle (UAV) remote-sensing images have a wide range of applications in wildfire monitoring, providing invaluable data for early detection and effective management. This paper proposes an improved few-shot target detection algorithm tailored specifically for wildfire detection. The quality of UAV remote-sensing images is significantly improved by utilizing image enhancement techniques such as Gamma change and Wiener filter, thereby enhancing the accuracy of the detection model. Additionally, ConvNeXt-ECA is used to focus on valid information within the images, which is an improvement of ConvNeXt with the addition of the ECANet attention mechanism. Furthermore, multi-scale feature fusion is performed by adding a feature pyramid network (FPN) to optimize the extracted small target features. The experimental results demonstrate that the improved algorithm achieves a detection accuracy of 93.2%, surpassing Faster R-CNN by 6.6%. Moreover, the improved algorithm outperforms other target detection algorithms YOLOv8, RT-DETR, YoloX, and SSD by 3.4%, 6.4%, 7.6% and 21.1% respectively. This highlights its superior recognition accuracy and robustness in wildfire detection tasks.
Automated Capillary Electrophoresis Immunoblot for the Detection of Alpha-Synuclein in Mouse Tissue
Authors: Erdmann Leonie , Santos Patrícia I. , Rieper Petra , Klafki Hans W. , Beutner Dirk , Wiltfang Jens , Outeiro Tiago F. , Setz Cristian
Published: April 2024

Background:

Alpha-synuclein (aSyn) is a key player in neurodegenerative diseases such as Parkinson’s disease (PD), dementia with Lewy bodies, or multiple system atrophy. aSyn is expressed throughout the brain, and can also be detected in various peripheral tissues. In fact, initial symptoms of PD are non-motoric and include autonomic dysfunction, suggesting that the periphery might play an important role in early development of the disease. aSyn is expressed at relatively low levels in non-central tissues, which brings challenges for its detection and quantification in different tissues.

Objective:

Our goal was to assess the sensitivity of aSyn detection in central and peripheral mouse tissues through capillary electrophoresis (CE) immunoblot, considering the traditional SDS-PAGE immunoblot as the current standard.

Methods:

Tissues from central and non-central origin from wild type mice were extracted, and included midbrain, inner ear, and esophagus/stomach. aSyn detection was assessed through immunoblotting using Simple Western size-based CE and SDS-PAGE.

Results:

CE immunoblots show a consistent detection of aSyn in central and peripheral tissues. Through SDS-PAGE, immunoblots revealed a reliable signal corresponding to aSyn, particularly following membrane fixation.

Conclusion:

Our results suggest a reliable detection of aSyn in central and peripheral tissues using the CE Simple Western immunoblot system. These observations can serve as preliminary datasets when aiming to formally compare CE with SDS-PAGE, as well as for further characterization of aSyn using this technique.
Why I’m not working: People with vision impairments explain
Authors: Crudden Adele , Steverson Anne , Sergi Katerina
Published: April 2024

BACKGROUND: Approximately half of people with vision impairments are not employed or looking for work. Many of these people have additional health or disability concerns, but little is known about those concerns or other reasons they are out of the workforce. OBJECTIVE: We investigated employment barriers impacting labor force participation among people with vision impairments, their perceptions of their skills and training needs, and the impact of not working on their economic status. METHODS: Thirty people with vision impairments who were not in the labor force participated in exploratory interviews conducted using a semi-structured protocol. We used a qualitative software program and multiple researchers to code the interviews, identify and analyze themes, and organize participants’ information. RESULTS: Employment barriers included concerns about health and disability, employer attitudes, transportation, training needs, economics, age, and lack of support. Some participants wanted to work now or in the past but were unable to find employment that accommodated their needs and generated a salary that made it economically worthwhile. CONCLUSION: Participants appear to need assistance identifying career paths leading to economic security, training for these careers, locating affordable transportation, and working with employers to gain workplace accommodations. Providing support and encouraging family support may positively influence interest in employment.
Fast-track knee pathway: A cost effective, quality improvement initiative for knee osteoarthritis
Authors: Corcoran Siobhan , Murphy Terence , Lynch Karen , Goulding Katherine , Cleary May
Published: April 2024

BACKGROUND: The prevalence of knee osteoarthritis is increasing due to population growth, ageing and other risk factors. However, the majority of patients can successfully manage their symptoms using conservative management strategies with only a minority requiring surgery. In 2019, a patient waited four years to be seen if deemed routine for an elective orthopaedic out-patient appointment in a large acute hospital in Ireland. OBJECTIVE: To establish a Fast-Track Knee Pathway in an Irish healthcare setting, creating a more efficient channel into elective orthopaedics for patients requiring surgical intervention whilst providing community-based care for those with non-surgical needs. METHODS: a) Establishment of a dedicated community-based physiotherapy and dietetic service for knee osteoarthritis, b) implementation of a Rapid Access Knee Clinic in elective orthopaedic clinics, and c) economic evaluation of the Fast-Track Knee Pathway’s cost effectiveness compared with the traditional pathway. RESULTS: 403 patients with knee osteoarthritis were removed from physiotherapy waiting lists with 9 patients requiring referral onwards to the Rapid Access Knee Clinic. On average there was a 64% reduction in wait time to access an orthopaedic consultant across 4 pilot sites. An incremental cost-effectiveness ratio of € 22,535.03 per QALY was estimated. Comparing this to the national accepted threshold of € 45,000 per QALY the Fast-Track Knee Pathway can be considered cost-effective. CONCLUSION: The Fast-Track Knee Pathway provides a fully integrated pathway of care for patients with knee osteoarthritis, facilitating earlier access to orthopaedic intervention. An economic evaluation concluded that this model of care is more cost-effective than the traditional pathway.
Designing heuristic driven hybrid optimization algorithms for efficient workflow scheduling in IaaS cloud
Authors: Kumar Sarvesh , Jain Anubha , Pareek Astha
Published: April 2024

Each one of the real resources or hardware like workstations, work ranges, joins, switches, switches, server ranches, and capacity contraptions are fundamental for the establishment. In disseminated computing, all the establishment is virtualized and given to infrastructure as a service. Usually called IaaS. IaaS quickly increments or down with ask and avoids the got to procure genuine servers and distinctive server cultivate establishment; each resource is displayed as a specific help portion. A conveyed computing pro-organization bargains with the establishment, whereas the client presents, plans, and manages programming, counting applications, middleware, and working systems. IaaS dispersed computing offers clients induction to figuring resources like servers, stockpiling, and frameworks organization. Affiliations utilize their possess establishment and applications interior a master organization’s system. For cloud service providers, cloud schedulers automate IT procedures. Schedulers are used by end users to automate jobs, or tasks, that support everything from big data pipelines to machine learning processes to cloud infrastructure. Infrastructure as a service, or IaaS, is a type of cloud computing that uses the internet to provide virtualized computing resources. IaaS is one of the three main types of cloud computing services, along with Platform as a Service (PaaS) and Software as a Service (SaaS). The precise task is assigned to the CPU, the network, and the storage by resource scheduling. The point behind this is the outrageous use of assets. However, both cloud providers and users require well-organized scheduling.
Visualizing trends on animation art therapy: A bibliometric analysis
Authors: Pei Fangling
Published: April 2024

By permitting greater user engagement and enhancing user expression, Animation’s expressiveness component aids in improving the efficacy of Art Therapy sessions. Although considered an effective approach, literature studies investigating the impact of Animation therapy on users are limited. The aim of this study is to analyse trends in the field of Animated Art Therapy through literature search method. Data using VOSviewer, R, and Biblioshiny for data visualization. The finding shows that Animation therapy is an effective method of regulating mental health and well-being within an artistic medium. Animation therapy can not only help therapists and users solve problems better in the professional field but also guide the public to release psychological pressure and achieve self-healing. Further research is needed on the long-term impact of Animation Art Therapy and trends, highlighting the possibilities and development prospects of disciplinary integration.
A lightweight logisticsed chaotic S-box encryption for IoT enabled smart health care applications
Authors: Chakravarthula Malathi , Krishna. P Venkata , Rani. K Sandhya
Published: April 2024

The Internet of Things (IoT) acts as the major enabler for realizing more intelligent devices and establishes a new dimension of communication between humans and machines using the Internet. These intelligent devices find their role in numerous domains namely health care, automation, smart homes & other people-assisted applications. Although sensor-driven gadgets have significantly improved people’s daily lives, the majority of IoT systems have been plagued by security backlogs, which results in privacy issues. Recently, Advanced Encryption Standard (AES) provides immense light of research in maintaining security and privacy among IoT health care devices. But encrypted data generated still needs to be improvised to defend against the various IoT attacks. The proposed scheme is implemented in the IoT infrastructure that consists of real-time health care sensors interfaced with the ESP8266. Extensive experimentation has been carried out to evaluate the proposed schemes and S-box tests are conducted and analyzed. Additionally, the efficacy of the suggested methods is evaluated with regard to of time and memory usage in comparison to the other encryption schemes already in use. Experimental findings demonstrate that the suggested L-DAL-SBoX has outperformed the other existing algorithms and finds its strong place in IoT security.
Performance optimization of multipath K-AOMDV protocol using SVM against blackhole attack
Authors: Kaushik Sheetal , Tripathi Khushboo , Gupta Rashmi , Mahajan Prerna
Published: April 2024

This research focuses on the Ad Hoc On-Demand Multi-Path Routing (AOMDV) protocol, which is preferred for its improved efficiency compared to a single-path routing protocol in mobile ad hoc networks (MANETs). However, identifying attackers in such networks is a complicated task due to malicious nodes providing optimistic, forward-looking optimistic responses. In this study, the author proposes a novel security solution, the K-AOMDV (KNN- Ad Hoc On-Demand Multi-Path Routing protocol) that uses K-means clustering to prevent routing misbehaviour. The efficiency of the proposed K-AOMDV routing protocol is analyzed using supervised machine learning approach to predict optimal routes with minimal packet hops between nodes. The proposed algorithm has a high accuracy rate of 0.99%, 80% true positives, and 80% recall. It communicates the black hole attacker’s node identification (ID) into the network, ensuring that the attacker will not participate in the routing method in the future. The privacy domain in MANET is the main focus of this research, and the proposed solution affiliates an effective approach to enhancing the security of MANETs.
Enhancing banking governance: A machine learning-based credit risk classification
Authors: Moumane Karima , Asri Ikram El , Rharoubi Ilham , Abderrahman Hafida Ait , Faqihi Sara
Published: April 2024

Risk management in the banking sector has gained heightened significance following the 2008 Global Financial Crisis. With the advent of Machine Learning (ML) techniques, financial institutions are increasingly turning to Artificial Intelligence (AI) for enhanced risk assessment and management. This paper introduces a systematic protocol for implementing a decision tree classifier tailored for credit risk classification. Additionally, we develop a user-friendly web application utilizing the Flask framework and Python Pickle library. This application offers customers an intuitive interface to input their attributes and receive predictions regarding their credit risk classification. Our empirical findings demonstrate that the Support Vector Machine (SVM) achieves a commendable accuracy of 77% in classifying customers based on their banking data. Furthermore, the web application proves to be an effective means for customers to interact with the ML model, enhancing accessibility and user engagement. These outcomes underscore the substantial benefits that ML techniques can bring to the banking industry, enabling improved risk detection and management while concurrently enhancing customer service delivery.
Integrating multisensory information fusion and interaction technologies in smart healthcare systems
Authors: Thatere Ajay , Jirapure Ashish , Chawhan Manish Devendra , Meshram Akshaykumar , Verma Prateek
Published: April 2024

The advent of intelligent medical systems has heralded a new era in healthcare, promising enhanced diagnostic accuracy, treatment efficacy, and personalized patient care. Central to these advancements is the application of multisensory information fusion and interaction technology, which integrates diverse data types—from imaging to auditory signals and electronic health records—to facilitate comprehensive patient assessments. This study examines the efficacy of such multisensory integration within an intelligent medical system framework, focusing on its impact on diagnostic accuracy and treatment effectiveness. A hypothetical dataset encompassing various sensory inputs for a cohort of patients was analyzed, revealing a significant improvement in diagnostic precision (average accuracy of 92.3%) and treatment outcomes, with a majority of interventions rated as highly effective. These findings underscore the potential of multisensory data fusion in revolutionizing medical diagnostics and treatment planning. Despite the promising results, limitations such as sample size and data quality were acknowledged, pointing towards the necessity for further research. This study not only corroborates the value of multisensory information fusion in enhancing healthcare delivery but also highlights the pathway for future advancements in intelligent medical systems. The article’s novelty lies in its approach to integrating multisensory data with AI technologies, leading to a more nuanced understanding of patient health. This method transcends traditional diagnostic techniques, allowing for a multifaceted analysis of medical conditions. It emphasizes the potential of this technology to detect diseases earlier and more accurately, tailor treatments to individual patient needs, and improve overall healthcare efficiency.
A non-invasive smart healthcare monitoring system based on the Internet of things
Authors: Subbaian Kalaivani , Ghanimi Hayder M. A. , Baba Vijayalakshmi , Venkatesh S. , Lavanya S. , Sengan Sudhakar
Published: April 2024

A worldwide increase in healthcare problems and disorders underscored the significance of across the globe healthcare monitoring (HCM). Several countries have increased lifespans due to technological medical developments, government health initiatives, and personal cleanliness. Globalization has led to a gradually rising elderly population and a decrease in fertility, which might result in problems with socioeconomic status. In order to assist older adults, HCM technologies must be cost-effective and simple to implement. Autonomous HCM could be feasible, incorporating wearable devices with sensors, actuators, and communication. The above approach enables practical and efficient personal medical care for older people, minimizing their requirement for costly hospital treatment. The entire study emphasizes the non-invasive blood glucose monitoring (NIBGM). The idea for the project includes developing a non-invasive medical device with RFID tags login, data storage, and smart sensors that allow the monitoring of several organs. The small in size, interconnected sensor monitors body temperature (BT), blood glucose level (BGL), blood pressure (BP), heart rate (HR), and oxygen saturation (OS). The internet-based monitoring device permits healthcare providers to keep track of patient’s health metrics in real-time and send data to remote places. The new method allows healthcare professionals to present rapid assistance and reinforcement, enhancing the results for patients.
АКТУАЛЬНІ ПРОБЛЕМИ ЛОГІСТИЧНИХ ЛАНЦЮГІВ
Authors: Франів І. А. , Хархаліс І. М.
Published: April 2024

У статті аналізуються проблеми, з якими стикається галузь логістики, та пропонуються деякі шляхи їх вирішення, спираючись на використання можливостей сучасних технологій та рішень для управління вантажоперевезеннями. Обгрунтовано актуальність автоматизації ручних завдань, зменшення кількості повторюваної роботи, оцифрування різного роду процесів у плануванні, організуванні та контролі логістичної діяльності на підприємстві. Визначено, що за рахунок консолідації відправлень і максимального використання будь-якого доступного простору витрати, пов’язані з транспортуванням, можна значно скоротити. Для цього потрібна відкрита та ефективна комунікація з перевізниками. У деяких випадках зменшення кількості учасників процесу також змінює ситуацію на краще. Одним із вирішень цієї проблеми може бути делегування повноважень сторонній логістичній компанії для покриття витрат на транспортування, оскільки такі компанії мають відносини з різними перевізниками та використовують консолідацію відправлень, щоб скоротити витрати. Підтверджено, що знаходити та виявляти потенційні помилки є критично важливим, але деколи складно, коли існує так багато місць, де зв’язок може бути втрачений. Вважаємо: це якоюсь мірою вирішується за рахунок ефективних програмних систем зв’язку та відстеження, часто інтегрованих безпосередньо в системи управління складом разом із прямим доступом до клієнтів і партнерів. Конкретизовано, що ланцюжок поставок має характеризуватися постійним процесом удосконалення, тому управління ланцюгом поставок, будучи координатором цього ланцюга, стає дуже важливим завданням. Аргументовано, що на сьогодні акцент управління матеріальним потоком значно зміщується в бік інформаційного. Будь-який процес управління, зокрема логістичний, тепер розглядається як процес управління інформаційними даними та потоками. Доведено, що це особливо актуально для управління логістичними ланцюгами, враховуючи їхні особливості, пов’язані з необхідністю інтеграції та координації саме інформаційних потоків. Підвищення цін на нафту, суворі заходи певних країн у боротьбі з пандемією та війна в Україні змінили не тільки міжконтинентальні логістичні ланцюги, а й галузь логістики у більш глобальному контексті.
Управління агробізнесом: програма та плани семінарських (практичних) занять для здобувачів вищої освіти за спеціальністю «Менеджмент» : навчально-методичний посібник
Authors:   Національного університету “Одеська юридична академія, Григор’єва Христина Антонівна , Харитонова Тетяна Євгенівна , Годованюк Андрій Йосипович , Заверюха Марина Михайлівна , Канівець Людмила Анатоліївна , Караханян Карина Мартинівна , Платонова Євгенія Олегівна
Published: April 2024

У навчально-методичному посібнику зібрані необхідні розробки щодо викладання здобувачам вищої освіти курсу «Управління агробізнесом» – однієї з важливих навчальних дисциплін професійної підготовки фахівців із менеджменту. Запропоновані методичні розробки враховують особливості відносин у сільському господарстві та спрямовані на всебічну підготовку фахівців з управління для ефективної роботи в цій сфері.
Implementation of DMD-1 Process for Demercaptanization of Kerosene Fraction at LLC Slavyansk ECO
Authors:   «Volga Research Institute of Hydrocarbon Feed» JS, Kornetova О. М. , Mazgarov А. М. ,   «Volga Research Institute of Hydrocarbon Feed» JS, Vil’danov А. F. ,   «Volga Research Institute of Hydrocarbon Feed» JS, Nizamutdinova G. B. ,   «Volga Research Institute of Hydrocarbon Feed» JS, Murzin S. V ,   LLC «Slavyansk ECO», Vyazovskiy А. А. ,   LLC «Slavyansk ECO», Shirin Yu. А. ,   LLC «Slavyansk ECO», Zolkin I. А. ,   LLC «Slavyansk ECO»
Published: April 2024

The results of laboratory tests of the DMD-1 process for demercaptanization of straight-run kerosene fraction at LLC Slavyansk ECO are presented. The optimal design of the unit for treatment the kerosene fraction from mercaptan sulfur using existing equipment has been selected. The implementation of this scheme allowsto obtain kerosene fraction that meets the requirements of GOST 10227-86.
Preactivation by the Magnetic Field of Crude Oil in the Process of Primary Processing
Authors:   Astrakhan State Technical University, Vlasova G. V. , Ivanova A. D. ,   Astrakhan State Technical University
Published: April 2024

The article discusses issues related to the influence of magnetic influence on the quality indicators, operational characteristics of oil and an increase in the yield of light petroleum products during the primary processing of crude oil. The main purpose of this work is to study the influence of the magnetic field on the results of the primary processing process. Magnetic influence makes it possible to improve the quality indicators of the oil itself and deepen the whole process of primary processing. As a result of the conducted research, oil with improved operational characteristics was obtained. It was found that when exposed to 0.2 T magnetic induction, the yield of light petroleum products increases by 6%.
Вариационная постановка задач обратимой термомеханики для слоистых структур
Authors:   ФГБУН Институт прикладной механики РАН, Москва, Россия, Белов П.А. , Лурье С.А. ,   ФГБУН Институт прикладной механики РАН, Москва, Россия
Published: April 2024

В работе модель пространственно-временного трансверсально-изотропного континуума используется для того, чтобы развить наиболее полный вариант вариационной модели для связных обратимых динамических процессов теплопереноса и термомеханики деформируемых сред и с наибольшей полнотой учесть связные эффекты в отношении пространственных и временных эффектов. Временная ось является осью трансверсальной изотропии. При описании полей температуры и термомеханических процессов применяемая модель 4D пространственно-временного континуума позволяет естественным образом ввести термический потенциал, в качестве которого рассматривается четвертая компонента 4D вектора перемещений. Для определения силовой модели используется принцип возможных перемещений считая, что список аргументов определяется тензором обобщенных дисторсий и вектором 4D перемещений. Решается проблема идентификации физических постоянных модели для обратимых процессов. Для этого формулируются физически обоснованные гипотезы: гипотеза парности пространственных касательных напряжений, гипотеза классической зависимости импульса от скорости, гипотеза потенциальности теплового потока (ослабленная гипотеза Фурье). Предполагается также, что закон Дюамеля-Неймана по форме имеет вид классического закона Дюамеля-Неймана, обобщенного за счет учета релаксационных эффектов в температуре, давлении и шаровом тензоре деформаций. Отметим, что использование модели пространственно-временного континуума позволило для обратимых процессов получить обобщение закона теплопроводности Максвелла-Каттанео для теплового потока. Отличительной стороной предлагаемого метода моделирования является то, что в рамках рассматриваемых моделей обобщенные законы Максвелла-Каттанео и Дюамеля-Неймана не вводятся феноменологически, а получены как уравнения совместности при исключении термического потенциала из уравнений закона Гука для температуры, теплового потока и давления.
Cadena de custodia: Valoración de prueba y tutela judicial efectiva en el procedimiento adversarial penal
Authors: Merino Cueva Jomaira Cecibel , Gómez de la Torre Jarrín Gina Lucía
Published: April 2024

Introducción: El presente artículo científico aborda acerca de la problemática que tiene la cadena de custodia sobre la valoración de prueba y tutela judicial efectiva en el procedimiento adversaria penal, por medio de una metodología cualitativa y variada, donde se analizan tanto los precedentes históricos del tema como su aplicación actual, fundamentándose en una variedad de metodologías como: histórico, lógico, deductivo, inductivo, analítico, sintético y dogmático. Mediante la revisión bibliográfica, se evidencia la necesidad urgente de una intervención legislativa que salvaguarde la autenticidad de la cadena de custodia y la valoración de prueba y tutela judicial efectiva en el procedimiento adversarial penal. Objetivo: Por tanto, el objetivo es descubrir cómo la mala gestión de la cadena de custodia por parte de la policía nacional afecta negativamente a la mayoría de los casos penales en la valoración de la prueba por parte de la Fiscalía e incluso del órgano jurisdiccional lo cual atenta contra la tutela judicial efectiva que lleva a cabo la persecución penal deslegitimación del sistema judicial integral en la aplicación del sistema acusatorio. Metodología: Para la adecuada elaboración se eligió un enfoque cualitativo y el empleo de varios métodos como: histórico/lógico, con el fin de analizar los antecedentes y desarrollo del tema, deductivo/inductivo, para pasar de conceptos generales a específicos, analítico/sintético, para tratar sobre las implicaciones y cuestiones jurídicas actuales; y finalmente, el método dogmático, mismo que es arbitrario que surge de la normativa y, en última instancia, proporciona apoyo teórico para este tema. La técnica fue la revisión bibliográfica. Resultados: Se determinó que la regulación actual en Ecuador sobre la cadena de custodia valoración de prueba y tutela judicial efectiva en el procedimiento adversaria penal, es insuficiente, lo que lleva protección de la cadena de custodia velando por la seguridad jurídica y sin vulnerar derechos. Conclusión: En este contexto, es exigente que la asamblea nacional en este caso los legisladores ecuatorianos intervengan para garantizar una regulación adecuada de la cadena de custodia; valoración de prueba y tutela judicial efectiva en el procedimiento adversaria penal, velando por la seguridad jurídica y sin vulnerar derechos. Área de estudio general: Derecho Procesal Penal. Área de estudio específica: Derecho Procesal Penal y Litigación Oral.
Transgresión de principios procesales penales y derechos constitucionales por exceso de tiempo de prisión preventiva sin sentencias ejecutoriadas
Authors: Oña Cumbal David Alexander , Zamora Vázquez Ana Fabiola
Published: April 2024

Introducción: La investigación se centra en la problemática del plazo razonable en casos de sentencias no ejecutoriadas, específicamente en el contexto de la caducidad. Se aborda el conflicto surgido entre dos criterios emitidos por las más altas cortes ecuatorianas: el Pleno de la Corte Nacional de Justicia y el Pleno de la Corte Constitucional del Ecuador. Este conflicto se ilustra en la sentencia No. 02-2023, emitida el 05 de enero de 2023 por la Corte Nacional de Justicia, y la resolución Nro. 112-14-JH, del 21 de julio de 2021, emitida por el Pleno de la Corte Constitucional. Aunque se presentan decisiones jurisdiccionales relacionadas con la caducidad, el foco no está en la legalidad, arbitrariedad o legitimidad de las circunstancias que llevaron al pronunciamiento sobre la medida cautelar de prisión preventiva, sino en el razonamiento constitucional más acorde a los derechos constitucionales y convencionales. Objetivo: El objetivo de la investigación es analizar las diferentes posturas adoptadas por la Corte Nacional de Justicia y la Corte Constitucional del Ecuador con respecto al plazo razonable y la caducidad en casos de sentencias no ejecutoriadas. Se busca determinar cuál de los dos enfoques se ajusta mejor a los principios constitucionales y convencionales de protección de derechos. Metodología: La metodología empleada en esta investigación consistió en un análisis exhaustivo de las sentencias y resoluciones emitidas por la Corte Nacional de Justicia y la Corte Constitucional del Ecuador relacionadas con la problemática del plazo razonable y la caducidad. Se realizó una revisión detallada de los fundamentos jurídicos utilizados en cada caso, así como un análisis comparativo de las posturas adoptadas por ambas instituciones. Resultados: Los resultados de la investigación revelan que existe un conflicto de interpretación entre la Corte Nacional de Justicia y la Corte Constitucional del Ecuador en lo que respecta al plazo razonable y la caducidad en casos de sentencias no ejecutoriadas. Mientras que la Corte Nacional adopta un enfoque más legalista y restrictivo en la aplicación de la normativa, la Corte Constitucional se inclina hacia una interpretación más constitucionalista, priorizando la protección de derechos fundamentales. Conclusión: En conclusión, la investigación pone de manifiesto la necesidad de armonizar las interpretaciones de la Corte Nacional de Justicia y la Corte Constitucional del Ecuador en relación con el plazo razonable y la caducidad en casos de sentencias no ejecutoriadas. Es fundamental que se encuentre un equilibrio entre los aspectos legales y constitucionales para garantizar una adecuada protección de los derechos de las personas involucradas en procesos judiciales. Área de estudio general: Derecho Procesal Penal. Área de estudio específica: Derecho Procesal Penal y Litigación Oral
Analisis Pengaruh Indikator Terhadap Keberlanjutan Energi di Provinsi Banten
Authors: Zulkarnaini Andri , Lisapaly Leonard , Manik Martua , Yulianto Rudy
Published: April 2024

Dalam penelitian ini, keberlanjutan energi di Provinsi Banten dianalisis berdasarkan sejumlah data energi sebagai indikator. Tujuan penelitian ini adalah menyajikan indikator baru, menyelidiki dan mengembangkan berbagai indikator yang dapat digunakan untuk menentukan kebijakan dan meningkatkan indeks pengembangan keberlanjutan energi. Semua indikator diselidiki, selanjutnya tujuh indikator dipilih untuk studi mendalam, data terkait untuk masing-masing indikator dikumpulkan dan dianalisis menggunakan metode analisis korelasi untuk mendapatkan indikator kuat dan lemah, sehingga tahap terakhir dapat ditentukan langkah kebijakan. Hasil analisis menunjukkan 7 indikator dipilih dan periode tahun 2021 adalah indikator kebijakan yang terbaik dengan angka rentang 1 sebagai korelasi positif yang sangat kuat untuk mengurangi penggunaan bahan bakar fosil dan menggantinya dengan energi terbarukan, sehingga para pembuat kebijakan dan ahli energi harus memiliki perencanaan yang matang untuk menerapkan kebijakan yang telah ditetapkan dengan memperhatikan keseimbangan perekonomian, keamanan pasokan energi, dan pelestarian fungsi lingkungan, maka prioritas utama pengembangan energi harus mengadopsi prinsif energi yang ramah lingkungan
Analisa Emisi Partikulat Pada Mesin Diesel Berbahan Bakar Plastik Menggunakan SEM EDX
Authors: Sudrajad Agung , Sunardi Sunardi , Firmansyah Teguh , Riyanto Taufan
Published: April 2024

Dalam beberapa dekade terakhir, penelitian dan pengukuran emisi partikulat (PM) telah dilakukan secara luas dalam emisi atmosfer, termasuk distribusi dan komposisinya dari berbagai sumber antropogenik dan dampaknya terhadap kesehatan manusia. Tujuan dari penelitian ini adalah untuk mengetahui massa dan distribusi Particulate Matter (PM) yang dihasilkan oleh mesin diesel jenis Dong Feng R175A dengan bahan bakar dexlite 100%, campuran 30% minyak plastik dan 70%  dexlite (PO30), 50% minyak plastik dan 50% dexlite (PO50) dan 70% minyak  plastik dan 30% dexlite (PO70) dan 100% minyak plastik. Hasil penelitian menunjukkan bahwa Particulate Matter (PM10) pada bahan bakar campuran PO30 merupakan massa berat terendah karena mengandung hidrokarbon dan sulfur terendah. Hasil Image-J pada analisa distribusi diameter PM menunjukkan PO70 mempunyai jumlah PM2,5 dan PM10 terbanyak, sementara jumlah terendah PM2,5 dan PM10 adalah pada penggunaan bahan bakar PO30.
Rancang Bangun Perangkat Lunak Berbasis Web: Studi Kasus Pengiriman Barang
Authors: Gunawan Eric , Jonathan Jonathan , Broto Jonathan Bosco , Saputro Immanuela Puspasari
Published: April 2024

Penelitian ini mengembangkan sistem pengiriman barang berbasis web untuk meningkatkan efisiensi biaya pengiriman bagi pelanggan. Sistem ini menggunakan metodologi Agile dan data real-time untuk menghitung jarak antara pelanggan dan gudang terdekat, dan merekomendasikan gudang terdekat saat pemesanan. Sistem ini dirancang untuk meminimalkan biaya pengiriman. Framework Laravel digunakan untuk membangun aplikasi web, dan MySQL sebagai sistem manajemen basis data. Hasil penelitian menunjukkan bahwa sistem memberikan rekomendasi lokasi gudang dengan tingkat keberhasilan 97,4% dan berpotensi menghemat biaya pengiriman secara signifikan. Sistem ini meningkatkan produktivitas di PT Sena Bhuana Mas dengan memungkinkan pelanggan memilih gudang secara manual dan menyesuaikan dengan stok yang tersedia. Sistem ini menghasilkan solusi pengiriman barang yang lebih efisien dan efektif, dan meningkatkan produktivitas di PT Sena Bhuana Mas.
INFORMAL COMMUNICATION IN INTERNATIONAL RELATIONS: ROLE AND IMPACT
Authors: STYRNIK NATALIIA , ISHCHENKO IHOR , KUZ OLEH , BEDRYCH YAROSLAVA , LAZNEVA IRYNA
Published: April 2024

The article attempts to systematize arguments in favor of the fact that today the study of political communication at the international level, its various manifestations and consequences, faces problems that do not fit into the rigid framework of generally accepted political and philosophical theories, approaches and schools, and thereby actualizes the task of theoretical methodological understanding of the ongoing global socio-political changes through the formation of a new paradigm for studying the politics of international relations, adequate to the state of the world community and the challenges of the time. It is shown that in conditions of modern extreme instability and conflict potential, a special role is played by unofficial diplomacy, carried out through informal communication in various formats, in particular, in the format of the track two and track 1.5 diplomacy. The effectiveness of this kind of diplomacy is demonstrated by referring to its evolution and successful examples of its application in the 20th century, as well as the foundations and prospects in the current century.
Conservation of Buddhist Heritage in Afghanistan, 2016–2022
Authors: Leslie Jolyon
Published: April 2024

This article describes activity at two Buddhist sites, Topdara (Parwan province) and Shewaki (south-east of Kabul) in Afghanistan undertaken by the Afghan Cultural Heritage Consulting Organisation (ACHCO) between 2016 and 2022. It entailed documentation, excavation, conservation and partial reconstruction of stupas and other structures associated with Buddhist monastic orders. The sites are part of a string of religious institutions situated along trade and pilgrimage routes that traversed the region, some of which have been the focus of previous surveys, archaeological excavation and analysis. The primary objective of this work was to document and conserve the surviving physical fabric of the stupas and adjacent buildings, while examining their siting and similarities in form and architectural style with other Buddhist monuments in the region. The interventions also provided an opportunity to observe the attitudes of both the Afghan work-force and members of the Afghan public towards their Buddhist heritage, for which there seems to be a degree of curiosity and respect that tends to be lacking in recent accounts of such sites being “endangered.”
The Legacies of Afghanistan’s Urban Cosmopolitanism: Sikhs, Muslims and Markets in London
Authors: Marsden Magnus
Published: April 2024

This article explores the lives and activities of Afghan Sikhs living in the United Kingdom. Rather than analysing Afghan Sikhs as a one-dimensional “community” defined in relationship to a singular “identity” based on a shared geographical origin in Afghanistan, the article emphasises the ways in which they have formed multiple and dynamic networks across shifting geographical and historical contexts. Ethnographically, it focuses on the importance of commercial spaces, practices, and relations to the formation of such networks and the modes of social life within which these are entwined. The article argues that particular forms of everyday cosmopolitanism arise in the context of participation in long-distance commerce. Cosmopolitan sensibilities coexist with distinctions based on caste, language, and regional background, and are consciously regarded by some of the traders as markers of skill and social accomplishment.
The Pashtun Borderlands, 1944–1947
Authors: Nichols Robert
Published: April 2024

In the 1940s the Afghan dynasty in Kabul and newly independent rulers in Pakistan did not meet the challenges of building enduring representative political institutions and sustainable national economies. The dynamics of post-war globalized political and economic relationships undermined perceived elements of colonial-era stability. Borderland individuals and communities buffeted by post-war uncertainties and traumas from the Partition of British-India in August 1947 often ignored or resisted state-building efforts too often seen as lacking political legitimacy or local benefit. State institutional failures of governance in the 1970s that preceded subsequent decades of regional instability were foreshadowed in the 1940s. By 1950, the working of global capital, including in the form of American corporate interests, complicated any state notions that foreign funded economic development schemes might substitute for substantial structural political and social reforms.
Multivariate realized volatility: an analysis via shrinkage methods for Brazilian market data
Authors: Vieira Leonardo Ieracitano , Laurini Márcio Poletti
Published: April 2024

Introduction

Realized volatility analysis of assets in the Brazilian market within a multivariate framework is the focus of this study. Despite the success of volatility models in univariate scenarios, challenges arise due to increasing dimensionality of covariance matrices and lower asset liquidity in emerging markets.

Methods

In this study, we utilize intraday stock trading data from the Brazilian Market to compute daily covariance matrices using various specifications. To mitigate dimensionality issues in covariance matrix estimation, we implement penalization restrictions on coefficients through regressions with shrinkage techniques using Ridge, LASSO, or Elastic Net estimators. These techniques are employed to capture the dynamics of covariance matrices.

Results

Comparison of covariance construction models is performed using the Model Confidence Set (MCS) algorithm, which selects the best models based on their predictive performance. The findings indicate that the method used for estimating the covariance matrix significantly impacts the selection of the best models. Additionally, it is observed that more liquid sectors demonstrate greater intra-sectoral dynamics.

Discussion

While the results benefit from shrinkage techniques, the high correlation between assets presents challenges in capturing stock or sector idiosyncrasies. This suggests the need for further exploration and refinement of methods to better capture the complexities of volatility dynamics in emerging markets like Brazil.
Temporal processing abilities in normal hearing individuals with tinnitus: a systematic review
Authors: Puthiyadath Malavika , Prabhu Prashanth , Kalarikkal Gayathri , Nisha K. V.
Published: April 2024

Purpose

Tinnitus, characterized by the perception of auditory phantoms, is prevalent worldwide and can lead to a range of hearing-related issues. Understanding its influence on temporal processing helps to delineate the auditory manifestations of tinnitus. This systematic review aimed to identify the patterns of temporal processing difficulties in individuals with tinnitus and normal hearing abilities. Furthermore, this review evaluates the potential of specific measurement techniques as tools for diagnosing temporal processing deficits in tinnitus.

Methods

A comprehensive search was conducted in multiple international databases, followed by rigorous screening of the titles, abstracts, and full-length content. The inclusion and exclusion criteria were formulated using the Population, intervention, compression, Outcome, and Study design (PICOS) format, and the study bias was determined. After excluding irrelevant articles, nine studies were selected for the analysis.

Results

Over 50% of the selected studies demonstrated a significant impact on temporal processing in individuals with tinnitus, especially with gap detection test (GDT) and gaps in noise (GIN) tests, indicating of the deficits in peripheral temporal process in tinnitus individuals with normal hearing. However, the other central auditory tests showed no major changes.

Conclusions

The findings from this review underscore the importance of understanding temporal processing impairments in tinnitus and hold promise for enhancing the diagnostic accuracy and treatment outcomes, ultimately improving the lives of those affected by tinnitus. This review highlights the potential of the GDT and GIN tests as sensitive tools for assessing temporal processing deficits in the peripheral auditory system, which in turn can manifest as central changes in temporal processing.

Systematic review registration

http://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD42021287194, Prospero [CRD42021287194].