bluuebunny/crossref_metadata_2025_split huggingface dataset:
ФИНАНСОВЫЕ УСЛУГИ ДЛЯ СУБЪЕКТОВ МАЛОГО И СРЕДНЕГО ПРЕДПРИНИМАТЕЛЬСТВА: ДОСТУПНОСТЬ И ВОЗМОЖНОСТИ
Authors: Н.В. Ивашкина , В.А. Иншаков , Е.Г. Лезина 
Published: November 2024

Стремительное продвижение цифровых технологий является рычагом активного развития финансового рынка. В настоящее время спектр финансовых услуг, предлагаемых различными организациям, является достаточно разнообразным и многогранным. Эффективное использование финансовых инструментов малым и средним бизнесом становится в современном мире залогом его успешного развития. Для компетентного и перспективного применения данных инструментов представителям бизнес-сообщества неизбежно приходится повышать уровень своей финансовой грамотности. Данная статья подготовлена на основе результатов экспертного социологического опроса «Оценка предпринимательским сообществом состояния конкурентной среды в Республике Мордовия», проведенного в августе 2020 г. ГКУ РМ «Научный центр социально-экономического мониторинга» (было опрошено 247 респондентов). Проведенное исследование показало, что финансовые услуги доступны для бизнеса. Предприниматели пользуются в основном услугами различных банков, а также страховых и микрофинансовых организаций. Наиболее популярными финансовыми услугами в предпринимательской среде являются платежи (переводы денежных средств, оплата налогов, товаров, услуг и т.п.). Респонденты довольно негативно оценивают стоимость кредитования и займов, отмечая высокие процентные ставки. Анализ результатов экспертного опроса позволил авторам сделать вывод о том, что, несмотря на довольно активное развитие рынка финансовых услуг, уровень его доступности и стоимости остается актуальным для предпринимателей. Необходимо формирование целесообразной налоговой̆ и финансовой̆ политики со стороны государства, а также разработка и внедрение мероприятий по повышению финансовой грамотности представителей бизнес-сообщества.
СИСТЕМА KPI В ОЦЕНКЕ ЭФФЕКТИВНОСТИ ДЕЯТЕЛЬНОСТИ СОТРУДНИКОВ ФЕДЕРАЛЬНОГО КАЗНАЧЕЙСТВА
Authors: Л.В. Гусарова 
Published: November 2024

Предметом исследования данной статьи является методика оценки результативности деятельности сотрудников Федерального казначейства с использованием системы KPI, как одной из составляющих системы контроллинга. Необходимость мотивации сотрудников на достижение текущих и стратегических целей организации актуализирует целесообразность внедрения системы KPI, мировая практика использования которой доказала свою перспективность в том числе и в государственном секторе. Целью статьи является разработка методики оценки результативности деятельности государственных гражданских служащих Федерального казначейства. Автор использует методы эмпирического, теоретического и сравнительного исследования, систематизации информации. Результаты и выводы исследования могут быть учтены при внедрении системы контроллинга в Федеральном казначействе.
ВОЗМОЖНОСТИ И СПЕЦИФИКА ПРОСТРАНСТВЕННОГО РАЗВИТИЯ СКФО В ДОЛГОСРОЧНОЙ ПЕРСПЕКТИВЕ
Authors: М.И. Китиева , З.М. Погорова 
Published: November 2024

В современных условиях, характеризующихся неоднородностью экономического пространства Российской Федерации, возрастающей неравномерностью регионального развития и отсутствием эффективного взаимодействия географически локализованных систем, актуальность стратегического управления в социально-экономическом пространстве нашего государства возрастает с каждым днем. В статье анализируются социально-экономические проблемы Северного Кавказа и возможности их преодоления в связи с проектированием стратегии пространственного развития РФ. Автор раскрывает содержание основных программных документов: федерального закона «О стратегическом планировании в Российской Федерации» и Стратегии социально-экономического развития Северо-Кавказского федерального округа до 2025 г. Выявляются сложности реализации стратегии пространственного развития на Северном Кавказе. Приводятся данные социально-экономической статистики, обозначаются приоритетные направления регионального развития: туризм, аграрно-промышленный комплекс, нефтепереработка, производственный потенциал.
ИНСТИТУЦИАЛИЗАЦИЯ ПРОЦЕССА УСТОЙЧИВОГО РАЗВИТИЯ
Authors: А.А. Баширова 
Published: November 2024

Институционализация представляет собой процесс формализации стихийных отношений, складывающихся в обществе по какому-либо поводу, переход от неформальных отношений и неорганизованной деятельности к созданию организационных структур, с юридической легализацией, с регламентацией соответствующей деятельности, распределением социальных ролей и статусов. В статье исследуются вопросы, связанные с особенностями институциализации концепции устойчивого развития в развитых странах Европейского Союза и России. Делается вывод о том, что различия в разных социально-экономических системах состоят не только в причинах и условиях возникновения института устойчивого развития, но в процессах его становления, с позиций комплементарности формальных и неформальных норм.
The significance of the rs1050450 polymorphic variant of the glutathione peroxidase 1 gene in the structure of risk factors for the progression of coronary artery disease
Authors: Muslimova E. F. , Rebrova T. Yu. , Kuzheleva E. A. , Garganeeva A. A. , Afanasyev S. A. 
Published: November 2024

Glutathione peroxidase 1 (GPX1) plays a crucial role in blocking the involvement of oxidative stress in the formation of atherosclerotic plaques. A polymorphic variant rs1050450 is known, which may be associated with enzyme activity and thereby affect the progression of ischemic heart disease (IHD).Objective. To assess the association of the rs1050450 variant of the GPX1 gene with risk factors for the progression of IHD: carbohydrate metabolism disorders and the concentration of atherogenic lipoprotein fractions.Material and methods. The study included 168 patients with IHD, of whom 54.8% had a history of myocardial infarction (MI). Diabetes mellitus was identified in 29.8%, and glucose intolerance (GT) in 10.1% of patients. The rs1050450 variant (Pro200Leu, 599C > T) of the GPX1 gene was determined using TaqMan probes.Results. There were 141 patients with CC homozygotes and 27 patients with CT heterozygotes. TT homozygotes were absent in the sample. Among heterozygotes, the frequency of MI was lower than among CC homozygotes—37% vs. 58.2% (p = 0.043). Heterozygotes had lower levels of total cholesterol and low-density lipoproteins (LDL) compared to homozygotes: 3.8 (3.4; 4.5) vs. 4.3 (3.7; 5.6) mmol/L (p = 0.047) and 1.9 (1.4; 2.3) vs. 2.5 (1.9; 3.3) mmol/L (p = 0.005), respectively. At the same time, the frequency of GT was higher among heterozygotes (22.2% vs. 7.8%, p = 0.023).Conclusion. Among patients with IHD, carriers of the CT genotype of the rs1050450 variant showed a lower frequency of MI but a higher incidence of carbohydrate metabolism disorders. Heterozygotes had lower levels of atherogenic LDL and total cholesterol.
Antimicrobial and Phytochemical Analysis of Half-ripe Fruits of Aegle marmelos (l.) Correa Found in Butwal Area
Authors: Shrestha Deepak Kumar , Singh Anant Gopal , Sapkota Basanta Kumar , Sharma Khaga Raj 
Published: November 2024

In this work, the half-ripe fruit of Aegle marmelos found in the Butwal region was examined for antibacterial, phytochemical, and antioxidant activity as well as to quantify antioxidant activity, TPC, and TFC. Half-ripe A. marmelos fruits were collected from 12 to 24 April 2022 from Butwal area. Fruit pulp was shade-dried, crushed, and cold-macerated in methanol solvent to prepare methanolic extract. The crude extract was subjected to a preliminary phytochemical screening that found flavonoids, reducing sugar, polyphenols, alkaloids, steroids, tannins, terpenoids, coumarins, quinones, glycosides. The DPPH radical scavenging assay was used to evaluate the antioxidant activity, the agar well diffusion method was used to assess the antimicrobial activity, the Folin-Ciocalteu method was used to assess the total phenolic content, and the aluminum chloride colorimetric method was used to assess the flavonoid content. The DPPH radical scavenging activity in terms of IC50 of the fruit sample was 99.87±1.27µg/mL. The total phenolic content (TPC) was found 88.55±6.71 (mg of GAE/g), total flavonoid content (TFC) was found 10.98±0.134 (mg of QE/ g). Upon antimicrobial test, the extract was sensitive to both gram-positive bacteria Staphylococcus aureus (ZOI= 10.4±0.75 mm) and gram-negative bacteria to Escherichia coli (ZOI=11.22±0.18mm) almost equally.
The application of the Mahlangu case on the COIDA and other safety legislation: A legal analysis
Authors: Van der Bank Marjone , Karsten Jaco 
Published: November 2024

The Compensation for Occupational Injuries and Diseases Act 139 of 1993 (hence COIDA) provides for the compensation of any disablement caused by an occupational injury or disease that an employee sustains or contracts in the course of employment. This inter alia includes the death of an employee that resulted from an occupational injury or disease. Until recently, domestic workers in South Africa have been excluded from COIDA. In Mahlangu and Another v Minister of Labor and Others the Constitutional Court considered the present-day exclusion of domestic workers in South Africa from social security benefits associated with occupational injuries and diseases, notwithstanding other workers benefitting from comparable social benefits. The article therefore presents an overview of how the judgement in the Mahlangu-case stands to impact on the lives of domestic workers involved in workplace incidents. In light of the judgement, the authors reviewed the current legal framework associated with workplace injury claims and considered how the judgment stands to develop the legal framework and contribute towards social benefits of domestic workers. The importance of the judgment must therefore be considered against the background that the judgment confirms and assess the rights of domestic workers whereby they too must be able claim compensation in terms of COIDA. The authors also provide further insight into the significance of the invalidity of section1 (xix) (v) of COIDA and why the exclusion of domestic workers in terms of COIDA cannot be justified. This paper will examine and analyze the impact and relationship of the Mahlangu-case on legislation.
Factores clave que facilitan la innovación social en el tercer sector
Authors: Gispert-Saúch Carme Martinell , Morata García Txus , Rocha Scarpetta Joan Andreu 
Published: November 2024

Introducción: El objetivo de este estudio consiste en describir los factores que influyen en los procesos de innovación social en las entidades del tercer sector. Metodología: Desde el estudio de tres casos en profundidad, se realiza una investigación cualitativa desde un abordaje de teoría fundamentada. Resultados: Se detectan once categorías que impactan en la innovación social: centralidad del usuario, cultura interna, enfoque, escalabilidad, evaluación del impacto, financiación, nivel de independencia, nivel de legitimidad, alianzas, potencial TIC y voluntariado Discusión: Las organizaciones tienen distintos avances en las distintas categorías. Sin embargo, todas ellas contribuyen al desarrollo de la innovación social. Sin una comprensión profunda de qué es la innovación social quizás no afloran las verdaderas innovaciones sociales que el tercer sector genera y puede ocultar, en comparación con otros sectores, una innovación social mayor de la supuesta. Conclusiones: Existen cuatro tipos de factores que favorecen la innovación social en el tercer sector. Los estructurales, como un propósito claro o su gobernanza. Los factores propios o capacidades diferenciales que el tercer sector posee, como su capilaridad. Los emergentes, como nuevas tendencias tecnológicas o de medición de impacto. Y los factores de legitimidad, incluyendo la calidad o la rendición de cuentas.
Primary Melanoma of the Palatine Tonsil in an Adult Filipino Patient: A Case Report
Authors: Cabatana Katrin Louise , Salud Duane 
Published: November 2024

ABSTRACT
Objectives: To discuss a case of primary melanoma of the palatine tonsil in a 57-year-old man presented with a dark, pigmented tonsillar mass initially managed as a case of arterio-venous malformation, and review the literature on its presentation, diagnosis, management and outcomes.
Methods:
Design: Case Report
Setting: Tertiary Government Training Hospital
Patient: One
Results: A 57-year-old man presented with a pigmented, bluish-black mass (7.2 cm) on the right tonsillar area with dysphagia and odynophagia. A CT scan interpretation considered large tonsillar malignancy, right with infiltrations of the soft palate, lingual tonsils and pre-epiglottic space. The initial impression was an arteriovenous malformation and preoperative arterial embolization was followed by a tonsillectomy. The final biopsy result was mucosal melanoma. Refusing further treatment, he expired nine months later in the emergency room, after presenting with decreasing sensorium and desaturations, jaundice and abdominal distension.
Conclusion: To the best of our knowledge, this is the first reported case of tonsillar melanoma in the Philippines. Primary tonsillar melanoma is rare but its diagnosis is still possible (although it is usually diagnosed in advanced stages). Despite improvement in surgical techniques and adjuvant therapies, its prognosis remains poor. Regular oral cavity screening may help in early detection.
Telemedicine for ENT: Quality of Care During the COVID-19 Pandemic at the Jose R. Reyes Memorial Medical Center in 2022
Authors: Castro Janella Mara , Chua Ryan 
Published: November 2024

Objective: To assess the quality of care of telemedicine consultation during the COVID-19 pandemic at the Jose R. Reyes Memorial Medical Center in 2022Methods:Design: Cross-Sectional StudySetting: Tertiary Government Training HospitalParticipants: 210 patients
Results: Majority of the respondents were female, less than 40 years of age, unemployed, consulted for the first time, lived < 25km distance from the hospital, consulted because of an ear problem, consulted without symptoms suggestive of COVID-19 and had higher outcomes of face-to-face consultation. The overall satisfaction with teleconsultation was good with majority of patients satisfied and very satisfied with teleconsultation (4.29±1.083). Occupational status, technical problems encountered in the teleconsultation, and those who were bothered by the absence of clinical examination were associated with the perceived quality of care of the ENT teleconsultation (p < .05). Among the population who were satisfied to ENT teleconsultation, 82 (43%) were from the working population (OR 2.2 [1.1-4.7]), 158 (95%) were satisfied with quality of response (OR 23.7 [9.4-59.8]) and 154 (93%) were satisfied with image quality (OR 16.9 [7.3-39.0]).
Conclusion: Teleconsultation for ENT has proven useful in terms of satisfying the urgent concerns of patients in a pandemic setting.
Cost dynamics of converged optical-wireless networks: enabling low-latency xRANs through a reconfigurable hybrid split
Authors: Nooruzzaman Md , Fernando Xavier 
Published: November 2024

<p>Future 6G and beyond wireless networks are anticipated to be highly versatile, accommodating a wide range of services, from ultra-low-latency applications like autonomous vehicles and extended reality to enhanced mobile broadband and massive connectivity for the Internet of Things. In tackling this, xRANs (cloud/virtualized/open radio access networks) encounter significant challenges, including automation, interoperability, scalability, reconfigurability, and standardization, within crosshaul (comprising fronthaul, midhaul, and backhaul) networks. Therefore, the development of programmable converged optical-wireless networks with exceptional flexibility is crucial. This study concentrates on the design of integrated optical and wireless networks to achieve the reconfigurability necessary for automation and to fulfill diverse latency requirements. Initially, we analyze the latency contributions from different network segments and traffic factors in the xRAN, followed by a comprehensive examination of the associated cost dynamics. Subsequently, we investigate the feasibility of integrating high-layer and low-layer splits within the same network to achieve different latency levels. Finally, our study delves into the relationship between latency and cost for converged optical-wireless networks with varying mixed split scenarios and throughput levels. Overall, this article aims to assist network planners in making wellinformed decisions that balance throughput performance, cost, and latency requirements in upcoming network deployments. </p>
Intelligent Clustering for Energy Harvesting Cognitive Wireless Sensor Networks
Authors: Obaid Arif , Fernando Xavier 
Published: November 2024

<p> Lifetime of Cognitive Wireless Sensor Networks (CWSN) can be significantly improved using RF Wireless Energy Harvesting (RFWEH). However, since time available for energy harvesting is severely limited in a CWSN, we propose a novel cluster-based cognitive MAC protocol which intelligently allocates energy harvesting slots to cluster heads without compromising network performance in terms of latency and throughput. The protocol utilizes Machine Learning (ML) techniques to select the most suitable cluster head based on several factors, including residual energy, remaining data packets, and node location on the grid. The proposed RMACC protocol is compared with three other protocols, including the previously developed distributed RMAC protocol, LEACHC, and KoNMAC. Simulation results indicate that RMAC-C outperforms the other protocols in terms of network lifetime by up to 40%, achieving self-sustainability, while maintaining acceptable levels of network latency and throughput. This improvement is achieved by harvesting enough energy while intelligently allocating energy harvesting slots to cluster heads, ensuring that the network remains operational. This protocol’s success demonstrates the potential of incorporating intelligent clustering techniques and energy harvesting into wireless sensor networks to improve network lifetime and sustainability. </p>
Co-operative Edge Intelligence for C-V2X Communication using Federated Reinforcement Learning
Authors: Gupta Abhishek , Fernando Xavier 
Published: November 2024

<p> This paper examines the application of federated reinforcement learning (FRL) to enable resource-constrained vehicular edge nodes to learn their communication parameters from a central parameter server (PS). In cellular vehicleto-everything communication (C-V2X), non independently-andidentically-distributed (non-i.i.d.) data samples impose additional communication requirements and increase the training time for model convergence. By exploring correlations between local model updates and the global model aggregation distributions, we accelerate this convergence using FRL. In the proposed method, Q-values undergo weight adaptation at each training round to update the global model. Local gradient vectors at vehicles and global gradient vectors at the PS measure the contribution of vehicle local models. Furthermore, the Q-values are quantified via nonlinear mapping that reinforces positive rewards, leading to dynamic measurements of local model contributions. Using FRL, policy-based and value-based learning methods reduce the number of communication rounds by upto 40%. </p>
Automatic Modulation Classification for Cognitive Radio Systems using CNN with Probabilistic Attention Mechanism
Authors: Gupta Abhishek , Fernando Xavier 
Published: November 2024

<p>This paper studies automatic modulation classification (AMC) for cognitive radio systems. We propose a deep learning neural network approach enhanced with an intelligent attention mechanism to correctly classify, detect, and segment spatially distributed modulation data. AMC is achieved by training the neural network to focus only on specific significant regions learnt using the attention mechanism. The proposed approach is tested for detection efficiency and accuracy to distinguish different modulation data using the publicly available RML2016.10a dataset. The outcome shows the accuracy of the proposed scheme is comparable to other state-of-the-art deep learning algorithms with a reduced complexity. The real-time assessment of the temporal states is achieved based on the spectral characteristics of modulation constellation images at various signal-to-noise ratio (SNR) values. The model performance is evaluated using mean average precision (mAP), F1 score, and speed-accuracy trade-off. </p>
Object Detection for Connected and Autonomous Vehicles using CNN with Attention Mechanism
Authors: Gupta Abhishek , Illanko Kandasamy , Fernando Xavier 
Published: November 2024

<p>This paper addresses object detection and scene perception for connected and autonomous vehicles. Road object detection at high accuracy and fast inference speed is a challenging task for safe autonomous driving as false positives arising from false localization can lead to fatal outcomes. The paper proposes a convolutional neural network (CNN) to recognize images to enhance intelligent adaptive behavior in autonomous vehicles by correctly classifying, detecting, and segmenting spatially distributed objects in the driving environment. By focusing on specific regions of an image, the most significant region of the image is learned by appending a CNN with probabilistic attention mechanism aided with transformers. The proposed approach is analyzed for detection efficiency and accuracy to distinguish different objects to make appropriate driving decisions. The proposed method is validated on the publicly available Berkeley deep drive (BDD) dataset and shows an accuracy comparable to other state-of-the-art deep learning algorithms to make driving decisions based on real-time assessment of the temporal states encountered while navigating the driving environment. The proposed model performance is evaluated using mean average precision (mAP) and speed-accuracy trade-off. </p>
Deep Learning Based Traffic Flow Prediction for Autonomous Vehicular Mobile Networks
Authors: Shah Syed Ammad Ali , Illanko Kandasamy , Fernando Xavier 
Published: November 2024

<p>Accurate traffic flow prediction plays a crucial role in designing Ad hoc vehicular mobile networks in modern Internet of things (IoT) based intelligent systems. Several deep learning techniques have been deployed to predict traffic conditions to make vehicular communication more reliable. However, not all these approaches deal with complex road networks and spatial temporal dependencies of traffic data. In this paper, we analyze this problem using long short-term memory (LSTM), gated recurrent unit (GRU) and hybrid CNN-LSTM models. We trained our models using actual traffic flow data provided by the California Department of Transportation (Caltrans) over a 6 month duration and showed that our deep learning models outperform the traditional linear regression method. Moreover, an architectural study of deep learning models is carried out for the traffic flow prediction problem. The performance of these models is evaluated using MSE and MAE metrics. It is observed that the GRU model is the best to handle the complex vehicular traffic mechanisms. Also, that a complex hybrid model like CNN-LSTM does not always outperform the much simpler architectures such as LSTM and GRU. </p>