bluuebunny/crossref_metadata_2025 huggingface dataset:
NONINVASIVE DIAGNOSIS OF HEART REJECTION AS A PREDICTOR OF LONG-TERM TRANSPLANT SURVIVAL
Authors:   «University Medical Center» Corporate Fund, Astana, Kazakhstan, Mirzakhmetova G , Novikova S , Yakhimovich Y , Bayanova M , Altynova S , Pya Y
Published: May 2024

Background. Currently, in Kazakhstan, the issue of chronic heart failure is becoming increasingly relevant, with high mortality from the terminal stage of chronic heart failure, especially in patients with III-IV functional class. Heart transplantation represents the "gold" standard of surgical treatment for terminal chronic heart failure, but endomyocardial biopsy, used for monitoring the transplanted heart, is an invasive and inconvenient procedure. Aim of this study is to generate data which can aid in more precise antibody-mediated rejection diagnosis, assisting in distinguishing between antibody-mediated rejectionand acute cellular rejection and helping us determine the appropriate treatment strategy Materials and Methods. This article explores the potential of safe and accurate monitoring of acute transplant rejection using circulating donor-derived cell-free DNA(dd-cfDNA). The study included 40 patients who underwent heart transplantation. Results. It was found that 60% of them had a repeat operation, while 40% had a primary one. Various cardiomyopathies, predominantly dilated and ischemic, were the cause of terminal chronic heart failure. The donor-derived cell-free DNA method demonstrates potential in differentiating T-cell-mediated and antibody-mediated rejection, with different patterns donor-derived cell-free DNA elevation. These differences have high clinical significance for diagnosis and treatment tactics. Conclusion. Despite the prospects of using donor-derived cell-free DNA, further research is needed to establish threshold values and confirm its effectiveness in clinical practice.
A Comparative Analysis of Support Vector Machine and Decision Tree Algorithm for Predicting Fault in Uninterruptible Power Supply Systems
Authors:   Department of Electrical and Electronic Engineering, University of Mines and Technology, UMaT, Tarkwa, Ghana., Doe Isaac M. , Annan Dr. John K. ,   Department of Electrical and Electronic Engineering, University of Mines and Technology, UMaT, Tarkwa, Ghana., Odoi Dr. Benjamin ,   Department of Mathematical Sciences, University of Mines and Technology, UMaT, Tarkwa, Ghana.
Published: May 2024

Power supply systems can have problems, and Ghana Gas Limited is not an exception. Ghana Gas Limited uses an intricate Uninterruptible Power Supply (UPS) system which is made up of several parts such as electromechanical components, PCB boards, and electrolytic capacitors. The majority of components have technical lifespans that are governed by usage, operational environment, and working conditions, such as electrical stress, working hours, and working cycles. Most of the time, these errors affect the integrity and power supply after manufacture. The issue is that it takes longer for the professionals who operate on this machine to recognize these flaws, which makes it difficult for them to predict errors quickly or anticipate the likelihood of faults happening in the system components at an early stage for effective corrective action to be performed. Support vector machines (SVM) and decision trees were used in this study to anticipate faults for technical data scheduling of uninterruptible power supply systems for Ghana Gas Limited in an efficient manner. Based on a comparative analysis using these two techniques, faults in Ghana Gas Limited's power supply system were predicted using a four-hour daily interval dataset on UPS recordings, including input voltage, battery voltage, battery current, and alarm, spanning from August 2017 to October 2023. The findings depicted that the support vector machine was more efficient in detecting the fault locations in the power supply system with an accuracy of 96.80%, recall of 99.80%, precision of 100 %, F1-score of 93.15%. The results from the error metrics also validate the measures in assessing the predictive ability of the model with MAE of 0.42%, MSE of 1.18%, RMSE of 4.45%, R2 of 99.97%, RMSLE of 0.036%, and MAPE of 0.21%.
Spatio-Temporal Detection of Land Use/Land Cover Changes in Kokrajhar District of Assam
Authors:   Department of Geography, Gauhati University, Guwahati-781 014 Assam, India., Machahry Jeshmi
Published: May 2024

The use of multi-temporal satellite images in digital change detection algorithms aids in the comprehension of landscape dynamics. The present study illustrates the spatio temporal dynamics of land use/land cover of Kokrajhar district of Assam, India. Landsat Satellite imageries of four different time periods. i.e., Landsat Thematic Mapper (TM) of 1991, 2001, 2011 and 2021 were acquired from Google Earth Explorer site and quantify the changes of Kokrajhar district from 1991 to 2021 over a period of 30 years. Supervised classification methodology has been employed using maximum likelihood technique in ArcMap 10.8 Software. The images of the study area were categorised into four different classes namely vegetation, agriculture, built up and water body. The results indicate that during the last three decades, built up have been increased by 3.8% (658.75 km2) while agriculture, vegetation and water body have been decreased by 0.74 (708.9 km2) %, 0.56(1494.46 km2) % and 2.46 (273.5 km2) % respectively.
Driver Distraction and Drowsiness Detection Based on Object Detection Using Deep Learning Algorithm
Authors:   Assistant Professor, Department of Computer Science and Engineering, Mahendra Engineering College, Namakkal (Tamil Nadu), India., Mr. T. Nandhakumar  , Ms. S. Swetha  ,   UG Scholar, Department of Computer Science and Engineering, Mahendra Engineering College, Namakkal (Tamil Nadu), India., Ms. T. Thrisha  ,   UG Scholar, Department of Computer Science and Engineering, Mahendra Engineering College, Namakkal (Tamil Nadu), India., Ms. M. Varunapriya  ,   UG Scholar, Department of Computer Science and Engineering, Mahendra Engineering College, Namakkal (Tamil Nadu), India.
Published: May 2024

Distracted driving is a major global contributing factor to traffic accidents. Distracted drivers are three times more likely to be involved in an accident than non-distracted drivers. This is why detecting driver distraction is essential to improving road safety. Several prior studies have proposed a range of methods for identifying driver distraction, including as image, sensor, and machine learning-based approaches. However, these methods have limitations in terms of accuracy, complexity, and real-time performance. By combining a convolutional neural network (CNN) with the You Only Look Once (YOLO) object identification method, this study suggests a unique way to driver distraction detection The two primary phases of the suggested paradigm are object identification utilizing Yolo and classification of the identified things. The YOLO algorithm is used to identify and pinpoint the driver's hands, face, and any other objects that might draw their attention away from the road. The objects that have been observed are then categorized using a CNN to determine whether or not the driver is distracted. When evaluated on a publicly available dataset, the proposed model shows good performance in detecting driver preoccupation. Utilize the CNN algorithm in addition to ocular features to determine the driver's level of fatigue. The proposed method might be incorporated into advanced driver assistance systems with real-time environment to improve road safety.
Investigating Emotional Intelligence and Employees' Well-Being in an AI-Enhanced Workplace
Authors:   Department of Commerce, Indira Gandhi National Tribal University, Amarkantak (Madhya Pradesh), India., Gill Ms. Amandeep , Mathur Prof. Ashish ,   Department of Commerce, Central University, Haryana, India., Bhadouria Prof. Shailendra Singh ,   Department of Commerce, Indira Gandhi National Tribal University, Amarkantak (Madhya Pradesh), India.
Published: May 2024

This study focuses on the connections between employee well-being in AI-enhanced workplaces, the integration of artificial intelligence (AI), and emotional intelligence (EI). Data were collected and analyzed from workers in various industries using quantitative methodologies. Positive connections between EI and AI are seen in the results, indicating possible alignment in AI-driven contexts. The slight negative correlations between AI and well-being indicate intricate connections. While component analysis identifies distinctive EI and AI factors, cluster analysis reveals distinct employee profiles based on EI, AI, and well-being scores. One of the implications is the significance of fostering EI and AI integration in enhancing employee well-being. Future studies may examine these constraints and investigate intervention strategies for more healthful workplaces in the AI era. This research offers insightful information about the intricate dynamics of EI, AI, and well-being, offering guidance for organizational practices and future research endeavors.
A Review on Classification Algorithm for Customer Churn Classification
Authors:   Department of Informatic & Computing, University Sultan Zainal Abidin, Terengganu, Malaysia., Adnan Nurul Nadzirah Bt , Awang Mohd Khalid Bin ,   Department of Informatic & Computing University Sultan Zainal Abidin, Terengganu, Malaysia.
Published: May 2024

Any sector faces a huge obstacle when it comes to retaining existing customers. The percentage of consumers who have quit using a product or service is referred to as customer churn, and it is a vital indication that offers reliable information about this percentage. When it comes to achieving long-term success in a market or industry, one of the most significant challenges that any company must face is the ability to keep their precious clients and to fulfill their needs. A review of the most significant studies on Customer Churn Prediction is presented in this paper so as to furnish the reader with an overview of frequently employed data mining methodologies and their respective performances. We provide the available statistics in addition to customer information in order to approximate customer attrition. The time period encompassing the survey extends from 2003 to 2023. During the process of Customer Churn Prediction, we identified the issues and difficulties that were linked with it and offered guidance and potential remedies.
Cost of Production and Financial Performance of Selected Poultry Rearing Farmers in Kiambu County, Kenya
Authors: Kibunja Elvin , Musau Salome
Published: May 2024

The study sought to investigate the effect of cost of production on financial performance of selected poultry rearing farmers in Kiambu County, Kenya. The study was guided by specific objectives including; the effect of feed costs, the effect of poultry equipment, the effect of brooding costs and the effect of medication costs on financial performance of selected poultry rearing farmers in Kiambu County, Kenya. The study was anchored on cash conversion cycle theory, transaction cost of economics theory, resource-based theory and operating cycle theory. The study adopted descriptive research design and a sample size of 350 respondents. Snow ball sampling method was used to reach the respondents since their location was not well defined. Primary data was collected using questionnaires that was pilot tested to ensure its valid and reliable. Descriptive statistics of mean, percentages and standard deviation and inferential statistics including multiple regression analysis were conducted. The study findings revealed that production cost including feeding cost, poultry equipment, brooding cost and medication cost all individually had a statistically significant effect on financial performance and therefore all the null hypotheses were rejected. Feeding cost and medication cost had negative statistically significant effect, hence concluding that when the cost for feeds and medication increases, they lead to a decrease in financial performance. Also increase in poultry equipment and brooding cost were found to positively affect performance concluding that when the farmers increase investment in relevant equipment and brooding, financial performance improves. On feeding cost and medication cost, the study recommends that the farmers through the regulators to lobby for subsidies from the government so as to lower the cost of production. The study further recommends the farmers to invest in heavy technology in terms of equipment and brooding costs since greatly increase their financial performance.
On the Shielding Effect of Wire Arrays
Authors: Borzì Giuseppe
Published: May 2024

A simple two-dimensional model of an infinite array of circular conductors is presented. The model is developed in two variants, a thin model and a thick model. It allows the evaluation of the shielding effectiveness of the array when the wires distances their and radius changes. The shielding effect is expressed through the transmission coefficient of a plane wave normally impinging on the screen. The model is limited to a plane wave impinging normally on the wire’s plane and linearly polarized along the wires.
Foreign Body Aspiration in Children Clinical, Radiological, and Bronchoscopic Findings
Authors: Bushaala Nagia M. , Eltagori Fatma M. , ALghazal Najat , Radwan Munira A.
Published: May 2024

Background: Inhalation of foreign bodies (FBs) is a frequent and adverse condition in the pediatric population. Foreign body aspiration (FBA) is a serious health problem that is sometimes fatal. According to the 2019 data of the National Safety Council (NSC), deaths associated with FBA are the fourth most common preventable accident between the ages of 0–4 years. Aim: The study aimed to retrospectively inspect foreign body aspiration (FBA) among children by focusing on symptoms, physical and radiological examination and complications. Method: This was a retrospective study (case series) conducted at Benghazi Children‘s Hospital in a period from1st. October 2020 to1st. October 2022 that included all children under 15 years old who underwent rigid bronchoscopy for suspected foreign body aspiration. Results: A total of 131 patients who underwent bronchoscopy were included in this study. The mean age of the studied group was (3.5±3.4 years) ranged from 2 months to 15 years. The FBA was most common (50, 38.17%) in the age group (1-3 years), followed by children aged <1 year (38, 29.01%), and less common in patients aged >10 years (8, 6.11%). The FBA was slightly higher in females (73, 55.73 %) than males (58, 44.27%). The history of FBA and the presence of FB in bronchoscopy were witnessed in the majority of cases: (108, 82.44%) and (117, 89.31%) respectively. The majority of removed FB were organic in nature (83, 70.94 %) with the predominance of peanuts (33, 39.76%), and seeds (21, 25.30%). Most of FB is located in the right main bronchus (46, 51.69%) followed by the left main bronchus (16, 17). A large number of cases (83, 72.82%) took more than two days (48 hours) between aspiration and the removal of a foreign body. Cough was the most common symptom (100, 77.5%), followed by chocking (88, 68.2%), then breathlessness (61, 47.3%), and the other cases presented the following symptoms in decreasing order: wheezing, cyanosis, fever, grunting, seizure, dysphagia, ........
Female Friendship in the World of Higher Learning: The Entangled Lives of Grethe Hjort/Greta Hort (1903–1967) and Julie Moscheles (1892–1956)
Authors: De Coninck-Smith Ning
Published: May 2024

During WW2, the Danish scholar of English literature Grethe Hjort developed a close friendship with the Czech-Jewish geographer Julie Moscheles. Their paths crossed in Melbourne, and afterwards they settled in Prague. When Moscheles died in 1956, Hjort returned to Denmark to become only the second female professor at Aarhus University in 1958. Based on a study of private correspondence, this article has three interlinked intentions. Firstly, I explore the two women’s entangled lives and their encounters with the world of academia during peacetime and war. Secondly, I situate their biographies in a historical context in light of the academic paths followed by modern young women of the interwar generation, who experienced education as a gateway to independence from conventional gender norms. Finally, the article offers an affective sensibility that adds to the conceptualization of scholarly personae.
PENGARUH PERSEPSI DUKUNGAN ORGANISASI TERHADAP KESEJAHTERAAN DI TEMPAT KERJA PADA KARYAWAN PT. X
Authors: Yusni Wisata  , Nita Rohayati  , Yulyanti Minarsih
Published: May 2024

Penelitian ini bertujuan untuk mengetahui pengaruh persepsi dukungan organisasi terhadap kesejahteraan di tempat kerja pada karyawan PT X. Berbagai permasalahan yang ditemukan yaitu mengenai pemberian upah, kondisi kerja, penghargaan yang diberikan kepada karyawan, dan kurang nyaman di tempat kerja merupakan hal yang berkaitan dengan kesejahteraan karyawan di tempat kerja atau workplace wellbeing. Pengukuran dilakukan dengan mengadopsi alat ukur Survey of Perceived Organizational Support (SPOS) 8, sedangkan kesejahteraan di tempat kerja menggunakan alat ukur workplace wellbeing yang dikonstruksi. Subjek penelitian berjumlah 93 karyawan dan menggunakan teknik sampling total. Teknik analisis data menggunakan regresi linear sederhana dan diperoleh hasil persamaan regresi Y = 6,869 + 1,450X dengan nilai thitung sebesar 15,891> ttabel (1,986)  dan signifikansi 0,000 < 0,05 maka H0 ditolak dan Ha diterima, artinya persepsi dukungan organisasi berpengaruh signifikan terhadap kesejahteraan di tempat kerja. Semakin tinggi tingkat persepsi dukungan organisasi, semakin tinggi kesejahteraan di tempat kerja pada karyawan. Sebaliknya, semakin rendah tingkat persepsi dukungan organisasi, maka semakin rendah pula kesejahteraan di tempat kerja yang dirasakan oleh karyawan. Persepsi dukungan organisasi mampu memberikan kontribusi sebesar 73,5 % terhadap kesejahteraan di tempat kerja, sedangkan sisanya sebesar 26,5 % merupakan faktor lain yang tidak diteliti dalam penelitian ini.
This research aims to determine the influence of perceived organizational support on workplace well-being among PT X employees. The various problems found, namely regarding wages, working conditions, awards given to employees, and lack of comfort in the workplace are matters related to employee welfare at work or workplace wellbeing. Measurements were carried out by adopting the Survey of Perceived Organizational Support (SPOS) 8 measuring instrument, while workplace well-being using a constructed workplace wellbeing measuring instrument. The research subjects were 93 employees and used a total sampling technique. The data analysis used a simple linear regression, showing that organizational support perception significantly influences workplace well-being, as the calculated t-value (15.891) exceeds the critical t-table value (1.986) with a significant level of 0.000 < 0.05. So, the null hypothesis (H0) was rejected, and the alternative hypothesis (Ha) was accepted. The higher the level of perceived organizational support, the higher the workplace well-being of employees. Conversely, the lower the level of perceived organizational support, the lower the well-being at work felt by employees. Perception of organizational support is able to contribute 73.5% to well-being in the workplace, while the remaining 26.5% is another factor not examined in this research.
Green oxidation of menthol in multigram scale based on calcium hypochlorite
Authors: Carlos Mariana Falcão Lopes Princisval , Souza Marcus Vinicius Nora de
Published: May 2024

The oxidation reaction stands as a fundamental process in organic synthesis, holding significant importance in generating various value-added chemical products. Oxidative processes are pivotal realms for both industrial and academic exploration. Present-day scientific and research pursuits emphasize the imperative need for chemistry to evolve towards absolute sustainability, prioritizing safety, intelligence, and environmental friendliness—thus aligning with the principles of green chemistry. This work aims to report a green oxidation procedure of menthol to menthone in multigram scale, using calcium hypochlorite as reagent, that can be use in academy research or practical class.
OPTIMALISASI DIGITAL MARKETING MELALUI E-COMMERCE (PRESTASHOP) SEBAGAI STRATEGI PEMASARAN KAIN TENUN IKAT BANDAR KOTA KEDIRI
Authors: Zakaria Nizar , Saptaria Lina
Published: May 2024

Pemanfaatan teknologi dalam kegiatan pemasaran menjadi kebutuhan penting bagi para pelaku usaha untuk mencapai efisiensi dan kinerja bisnis yang berkelanjutan. Strategi pemasaran  maupun promosi produk kain tenun ikat Bandar Kota Kediri dinilai kurang sesuai dengan era digital,dan masyarakat pengetahuan.  Permasalahan yang dihadapi oleh paguyuban diantaranya : banyak pelanggan yang belum mengetahui  informasi tentang keunggulan produk, tidak mengenal merek produk yang ditawarkan, kurangnya minat beli konsumen terhadap produk, dan masih terbatasnya jangkauan pemasaran produk. Tujuan dari penelitian ini adalah merancang sistem e-commerce menggunakan Prestashop dan implementasinya untuk mengoptimalkan strategi pemasaran digital komunitas tenun ikat Bandar ikat Kota Kediri. Metode penelitian ini adalah deskriptif kualitatif dengan pendekatan studi kasus. Teknik pengumpulan data meliputi observasi dan wawancara. Analisis perancangan dan implementasi sistem menggunakan pendekatan sedikit demi sedikit (efisiensi, informasi, ekonomi, pengendalian, efisiensi, keamanan). Hasill penelitian ini berupa desain sistem e-commerce yang telah dimanfaatkan oleh paguyuban sebagai  sarana promosi dan penjualan. Para informan yang terdiri dari 4 pakar (ahli) dan 2 anggota paguyuban maupun konsumen telah melakukan penilaian bahwa sistem e-commerce yang dirancang menggunakan PrestaShop efektif dan dapat memenuhi kebutuhan pengguna. Implikasi dari penelitian ini yaitu memberikan  kontribusi dalam pengembangan sistem pemasaran digital  yang efektif bagi pelaku UMKM tenun ikat Bandar Kota Kediri.
Ödül Değerinde Kimyasal Dopamin ve İşlevleri
Authors: Pençe Mahmud Esad
Published: May 2024

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Manganese-catalyzed C–C and C–N bond formation with alcohols via borrowing hydrogen or hydrogen auto-transfer
Authors: Ansari Mohd Farhan , Maurya Atul Kumar , Kumar Abhishek , Elangovan Saravanakumar
Published: May 2024

Transition-metal-mediated “borrowing hydrogen" also known as hydrogen auto-transfer reactions allow the sustainable construction of C–C and C–N bonds using alcohols as hydrogen donors. In recent years, manganese complexes have been explored as efficient catalysts in these reactions. This review highlights the significant progress made in manganese-catalyzed C–C and C–N bond-formation reactions via hydrogen auto-transfer, emphasizing the importance of this methodology and manganese catalysts in sustainable synthesis strategies.
The emergence and proliferation of security tokens, their distinguishing features, and correlation with cryptocurrencies
Authors: SAMSIN Roman
Published: May 2024

The paper examines the correlation between crypto-products, which are digital assets with intrinsic value and negotiability, and cryptocurrencies and security tokens (investment tokens). The author's analysis of the technical and financial aspects inherent in cryptocurrencies and investment tokens, due to their technical architecture and use in financial transactions, identifies their features. The features of cryptocurrencies include: creation and operation using blockchain distributed ledger technology, decentralized nature, transparency and security of transactions, complete anonymity of users, ability to act as a digital expression of value, turnover, absence of an issuer and collateral, value formation depending on market demand, and interchangeability. The features of security tokens include: their creation and functioning with the help of distributed register technology (at the present stage, mostly blockchain); their centralized nature, acting as a digital expression of value; their use for investment purposes; their issuance by the issuer, which entails certain obligations (payment of dividends, consideration of the owner's position in voting, etc.); and other factors (initial value set by the issuer, income potential of the project, etc.) that affect the formation of value in addition to the demand on the market (initial value, set by the issuer, income potential of the project, etc.); interchangeability. It is asserted that despite a number of common features, security tokens differ from cryptocurrencies. The identification or definition of security tokens as types of cryptocurrencies is erroneous.
Prospects of adaptive management system development at industrial enterprises in Ukraine
Authors: CHERNODUBOVA Eleonora , TSAREVSKYI Oleh
Published: May 2024

The content and characteristics of adaptive control are defined. It is substantiated that the key prerequisites for the formation of the adaptive control system are the final uncertainty and the method of active cognition of the controlled object. The expediency of using situational approach for formation and use of adaptive management system at the enterprise is substantiated. The adaptive management system includes regulatory and parametric components that determine the change of management influences of the adaptive management system and the transformation of the adaptive management system in accordance with the requirements due to significant changes in the external environment of management. Vector model of development of adaptive control system reflecting transformation of adaptive control system under influence of numerous factors due to influence of external and internal environment of management is proposed. Within the presented model, it is shown that the transformation of the adaptive management system and its progressive evolution occur during the accumulation of information and self-learning of the management system, while it is necessary to take into account unpredictable and predictable changes in the management environment, peculiarities of cyclic development of the internal and external management environment, situationally identified shortcomings of the adaptive management system. It is substantiated that the key factors that need to be taken into account when studying the development of the adaptive management system at today's stage are: the bionomic aspect of adaptive management, the influence of trends in informatization of the economy, the accumulated experience in making adaptive management decisions (the precedents developed by the management of the enterprise), aspects of social responsibility of the enterprise and the features of reference groups of the external environment that influence the development of the enterprise.
On the question of determining the administrative and legal status of local public administration bodies
Authors: IVANOVSKA Alla , HAVRIK Roman
Published: May 2024

In the paper, the author's team conducted a scientific study of the issues of determining the list of local bodies of public administration and their administrative and legal status. As a result of the conducted scientific research, the authors came to the conclusion that local public administration bodies can include such bodies as: local state administrations as local bodies of executive power, territorial bodies of central bodies of executive power, bodies of local self-government, regardless of whether they perform delegated powers of the executive power or not, other subjects, if they are delegated the powers of the executive power or local self-government, bodies of public administration of a military-civilian nature (military administrations). The authors of the paper reduced the administrative-legal status of these bodies to several features: their exercise of state or local public power, granted to them by the Constitution of Ukraine and the laws of Ukraine, through the delegation of powers or through the exercise of powers determined by the legislation on the legal regime of martial law; extension of public power to a certain administrative-territorial unit or territorial community and concerns issues that can be resolved within the relevant region (community); dualism in subordination – the absence of subordination of state public authorities to local public authorities, the presence of subordination relations in the systems of local executive authorities, territorial executive authorities and local self-government bodies; special administrative and legal regulation of each of the systems of local bodies of public administration. Public administration bodies of a military-civilian nature are characterized by: temporary nature; the presence of elements of a military organization; creation and liquidation by the President of Ukraine; the main task is to ensure the safety and normalization of the life of the population in the area of repelling armed aggression of the Russian Federation, front-line and rear areas; multi-vector subordination.
CAJANUS CAJAN: UMA LEGUMINOSA RICA EM INIBIDORES DE PROTEASES COM PROPRIEDADES MEDICINAIS.
Authors: Silva-López Raquel Elisa da
Published: May 2024

As leguminosas, família botânica com maior número de espécies e uma das numerosas, são importantes fontes de proteínas na dieta da população mundial e utilizadas como plantas medicinais. Seus componentes do metabolismo secundário, principalmente os flavonoides, são conhecidos insumos ativos farmacêuticos. Os produtos do metabolismo primário, como proteínas e polipeptídios, especialmente os inibidores de proteases (IPs), têm sido investigados como potenciais fármacos para o tratamento de algumas doenças. Cajanus cajan ou feijão guandu, é uma leguminosa tropical arbustiva e fonte expressiva de proteínas em países em desenvolvimento. Suas folhas e sementes também são utilizadas medicinalmente para tratar enfermidades e condições como intoxicação alimentar, cólicas, prisão de ventre, estomatites, diabetes, cicatrização de feridas, resfriados, sinusites. Os diferentes componentes vegetais são os responsáveis pelos efeitos biológicos e farmacológicos das plantas. Neste capítulo será chamada a atenção dos IPs que inibem de modo específico a atividade das proteases, que são enzimas essenciais na fisiologia e na bioquímica de todos os organismos, e a inibição destas desencadeia um efeito biológico peculiar. Os IPs sintéticos e os das leguminosas são bastante estudados e suas atividades farmacológicas conhecidas. Em C. cajan foram identificados sete diferentes IPs do tipo serino que afetaram a viabilidade de larvas de insetos que atacam cultivos de importância econômica. Contudo, a atividade anticâncer dose-dependente foi observada num IP de semente e outro de folhas utilizando células de linhagem tumoral de pulmão, pele e cólon.
DIGITAL MAPPING OF SOIL PROPERTIES AND CLASSES AT UFSCAR - ARARAS/SP, BRAZIL
Authors: YOSHIDA F.A. , STOLF R.
Published: May 2024

Digital soil mapping (DSM) is a valuable tool for natural resource conservation and management studies. It requires soil knowledge, compilation of environmental data (climate, geology, vegetation, and relief), followed by data and image analysis and interpretation. This study aimed to collect data from the experimental area of the Center for Agricultural Sciences (CCA-UFSCar, Araras-SP campus) and transform them into images to show the spatial distribution of geomorphological features and physical and chemical attributes of the surface horizon. To this end, we used the geostatistical methodology for DSM, using Kriging with the exponential semivariogram model. We could map the distribution of areas (blocks), relief, soil classes, as well as sand, clay, pH, organic matter (OM), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), aluminum (Al), potential acidity (H+Al), sum of bases (SB), cation exchange capacity (CEC), and base percentage (V%) of the Ap horizon. The methodology used allowed the spatial visualization of this information, which had been heavily used in research by the extinct IAA-Planalsucar from 1973 to 1990 and, since 1991, by UFSCar. This information is an auxiliary tool in the analysis and interpretation of scientific studies conducted at this experimental station.
PROSPECÇÃO TECNOLÓGICA DE VINHAÇA DA INDÚSTRIA SUCROALCOOLEIRA NO SETOR ENERGÉTICO
Authors: Santos Samara de Jesus , Santos Sara de Jesus , Dias Anni Rafaely de Jesus , Fernandes Ingrid Vieira , Fernandes Isadora Vieira , Oliveira Isa Beatriz Conceição , Silva Daniel Pereira , Ruzene Denise Santos
Published: May 2024

O processamento da cana-de-açúcar pode gerar diferentes resíduos, entre eles a vinhaça. Esse resíduo é comumente aplicado na fertirrigação, podendo proporcionar alto teores de macronutrientes ao longo dos ciclos de cultura. Entretanto, o descarte incorreto da vinhaça pode resultar na liberação de gases de efeito estufa, contribuindo para o aquecimento global. Neste contexto, diferentes tecnologias podem ser aplicadas para gerenciamento do resíduo como implementação de uma economia circular para o setor sucroalcooleiro. Assim, bioprodutos podem ser gerados a partir do resíduo, promovendo a diminuição dos impactos negativos ao meio ambiente. Dessa forma, o presente estudo buscou avaliar como a vinhaça está consolidada no campo tecnológico para o setor energético, por meio da prospecção tecnológica em bases de patentes (INPI, Patentscope e Espacenet). Os resultados demostraram uma grande variedade de aplicações da vinhaça, bem como diferentes métodos e processos para obtenção de produtos do setor energético. A digestão anaeróbia foi o principal método utilizado para a sua recuperação, sendo a destinação como fertilizante ainda a majoritária entre as apresentadas.
Dampak Penggunaan Proyektor Pada Perkembangan Pembelajaran Sains Dengan Tema Hewan Di Kelompok B TK Kartina Kiddy Club
Authors: Jubaedah Endah , Herawati Yuni
Published: May 2024

Penelitian ini di latar belakangi oleh masalah media pembelajaran yang digunakan pembelajaran sains yang masih kurang maksimal karena hal ini terlihat dari fokusnya anak-anak karena media yang digunakan masih menggunakan lembar kerja siswa atau masih menggunakan kartu gambar. Tujuan penelitian ini adalah terdeskripsikasnnya pembelajaran sains untuk anak usia dini pada tema hewan di kelompok B TK Kartina Kiddy Club, penggunaan proyektor pada pembelajaran sains anak usia dini pada tema hewan di kelompok B TK Kartina Kiddy Club, dampak penggunaan proyektor pada pembelajaran sains anak usia dini di kelompok B TK Kartina Kiddy Club. Adapun metodologi penelitian yang digunakan dalam penelitian adalah metode studi kasus yaitu meneliti kasus atau fenomena untuk mempelajari lebih lanjut tentang latar belakang, keadaan dan interaksinya. Objek penelitian ini dampak penggunaan proyektor pada perkembangan pembelajaran sains dengan tema hewan, subjeknya siswa kelompok B dengan jumlah 15 orang. Teknik pengumpulan datanya dengan cara observasi, wawancara dan dokumentasi. Hasil penelitian ini menunjukkan peningakatan perkembangan pembelajaran sains, dari hasil observasi awal 20% kategori anak yang belum berkembang dan mulai berkembang menjadi 60%. Hal ini menunjukkan cukup signifikan dampak penggunaan proyektor pada perkembangan pembelajaran sains dalam tema hewan.
kata kunci : Proyektor, Dampak, Pembelajaran Sains
PENGARUH PENERAPAN BIMBINGAN BERBASIS KEARIFAN ETNIK UNTUK PENGEMBANGAN REGULASI DIRI ANAK USIA DINI DI RA AR-RIFA KECAMATAN SAMARANG
Authors: Haryawati Yayah , NOVIARTI RESTI , Rakhmat Cece , Supriatna Mamat
Published: May 2024

Penelitian dilatarbelakangi  fenomena di Raudhatul Athfal Ar-rifa berdasarkan survey awal, regulasi diri anak belum berkembang rata-ratanya sebesar 39,5 berada pada daerah interval 20 s.d 40 berada pada kategori rendah baik dalam Attention, cognitive flexibility, working memory maupun inhibitory control. Tujuan penelitian mendeskripsikan pengaruh penerapan bimbingan berbasis kearifan etnik untuk pengembangan regulasi diri. Menggunakan pendekatan  kuantitatif desain  survei, metode pengumpulan datanya melalui angket, teknik penyusunan instrumen serta validasi data kemudian dianalisis secara kuantitatif. Realitas  pengaruh penerapan bimbingan berbasis kearifan etnik  menunjukkan   rata-rata   38,54 termasuk dalam kategori tinggi, kemudian realitas regulasi diri anak usia dini rata-rata 78,82 termasuk dalam kategori tinggi. Nilai korelasi sebesar 0,70 berkategori tinggi  terletak pada rentang 0,60 s.d 0,80, maka diinterpretasikan  penerapan bimbingan berbasis kearifan etnik di Raudhatul Athfal Ar-rifa melalui aspek permainan tradisional bakiak lari, indikatornya mengembangkan kemampuan berjalan cepat, mengkoordinasikan tubuh, melatih keseimbangan; kelenturan; kelincahan; dan  kekompakan mempengaruhi regulasi diri anak usia dini; indikatornya fokus; berpikir dan bertindak sesuai dengan situasi dan dapat memecahkan masalah; memahami informasi yang diterima; mampu memahami pertanyaan; mengungkapkan ide dengan kalimat yang lebih kompleks; melawan godaan; dan menerapkan disiplin; berkembang dengan baik.
 
Kata Kunci : Kearifan etnik, Pengaruh, Regulasi diri
Developing African Christian Leaders for Global Transformation
Authors: Tagwirei Kimion
Published: May 2024

Christianity is growing massively in the Global South, while it is declining in the rest of the world. This has changed the trajectory of missionary work. Africans used to be recipients, but are now benefactors who promote the gospel and lead mega-churches beyond their motherlands. Correspondingly, African Christian leaders ought to develop their capacities. While some of them appreciate the importance of leadership development, as confirmed by publicized leadership seminars and conferences, few African churches have contextualized Christian leadership development frameworks.Most problematically, countless Christian leaders have been the subjects of disturbing controversies, and they age and die without having prepared people to succeed them. By failing to do so, they betray the mission of God and the Church. Although having a call is invaluable for ministry and leadership, continuous leadership development is highly necessary for effectiveness, as ministerial needs grow daily while the capacities of Church leaders are limited. Applying grounded research as theory and engaging with contemporary literature, this paper reviewed African Christian leadership, and drew on leadership development models from the Old and New Testaments, in view of Malphurs and Mancini’s (2004) leadership development framework. This paper identified the necessity of contextualizing leadership development, appraising incumbent leaders, and addressing their situational challenges and needs, and recommends consistent holistic capacity enhancement in correspondence with changing times, contexts, people and places.

Keywords: Christian Leadership, Mission, Leadership Development, Sustainability, Transformation
Fossil flying squirrels (Petauristinae, Sciuridae, Rodentia) from the Yumidong Cave in Wushan County, Chongqing, China
Authors: Pang Li-bo , Chen Shao-kun , Hu Xin , Wu Yan , Wei Guang-biao
Published: May 2024

Flying squirrels are important forest environment indicators. There have been many reports on them from fossil localities of the Late Cenozoic in southwest China, but relatively few detailed studies have been carried out on them. Numerous flying squirrel fossils of the Mid-Late Pleistocene were unearthed from the Yumidong Cave in Wushan County, Chongqing Municipality, China, providing excellent materials for morphological comparison and further research on this group. Four species have been recognised from this locality, including Pteromys volans, Trogopterus xanthipes, Belomys pearsonii and Aeretes melanopterus. P. volans and A. melanopterus are Palearctic species, which adapted to the cold environment and had been completely extinct in the study area since the Holocene Megathermal period. Based on the analyses of paleozoogeography and paleoecology of these four species, it could be concluded that the Yumidong Cave area was dominated by subalpine evergreen coniferous forest or coniferous and broad-leaved mixed forest during MIS 2 and MIS 4 periods, which were colder and had more coniferous forest than now, while the vegetation landscape of MIS 3 and MIS 5 periods were similar to that of nowadays.
The driving forces behind the prices of major cryptocurrencies: Evidence from the past five years
Authors: Mohammed Medina Ayta , De Pablos Heredero Carmen , Montes Botella José Luis
Published: May 2024

Purpose: The primary objective of this study is to uncover the complex relationship between cryptocurrency prices and significant global events that transpired within the past five years. These events encompass a wide spectrum, including political and global health crises, the public disclosure of multinational enterprises' investments in cryptocurrencies, and the influence of macroeconomic indicators. Beyond the exclusive focus on Bitcoin, this study adopts a more comprehensive approach encompassing various cryptocurrencies.Design/methodology/approach: This study examines the effects of the disclosure of cryptocurrency adoption plans by major corporations, the Russian-Ukraine war, Covid-19, Inflation rate, and Economic policy uncertainty within the U.S., U.K., and E.U on cryptocurrency prices (Bitcoin, Ethereum, and Binance coin) using a structural equation model over the past five years.Findings: Our findings provided several compelling insights. Most notably, during the study period major corporations’ adoption of cryptocurrencies positively influenced their price. Furthermore, a negative and significant association emerges between cryptocurrency prices and periods marked by economic policy uncertainty and inflation rates in the countries under investigation (U.S., U.K., and E.U). The results are robust under variations in sample composition and changes in sets of variables.Originality/value: The study uncovered the complex relationship between cryptocurrency price fluctuations and significant global events that transpired within the past five years by taking the factors identified in previous literature as a whole and adding new variables that are not well studied, such as the effect of Russian-Ukraine War and multinational corporations revealing cryptocurrency adoption intention on the prices of cryptocurrencies. This study represents a pivotal contribution by bridging a crucial research void and providing theoretical insights into the legal considerations to be undertaken by policymakers, and informed investment practices by traders, and corporate leaders.
The historical lepto-variance of the US stock returns
Authors: Polimenis Vassilis
Published: May 2024

Regression trees (RT) involve sorting samples based on a particular feature and identifying the splitting point that yields the highest drop in variance from a parent node to its children. The optimal factor for reducing mean squared error (MSE) is the target variable itself. Consequently, employing the target variable as the basis for splitting sets an upper limit on the reduction of MSE and, equivalently, a lower limit on the residual MSE. Building upon this observation, we define lepto-regression as the process of constructing an RT of a target feature on itself. Lepto-variance pertains to the portion of variance that cannot be mitigated by any regression tree, providing a measure of inherent variance at a specific tree depth. This concept is valuable as it offers insights into the intrinsic structure of the dataset by establishing an upper boundary on the "resolving power" of RTs for a sample. The maximal variance that can be accounted for by RTs with depths up to k is termed the sample k-bit macro-variance. At each depth, the overall variance within a dataset is thus broken into lepto- and macro-variance. We perform 1- and 2-bit lepto-variance analysis for the entire US stock universe for a large historical period since 1926. We find that the optimal 1-bit split is a 30–70 balance. The two children subsets are centered roughly at −1% and 0.5%. The 1-bit macro-variance is almost 42% of the total US stock variability. The other 58% is structure beyond the resolving power of a 1-bit RT. The 2-bit lepto-variance equals 26.3% of the total, with 42% and 47% of the 1-bit lepto-variance of the left and right subtree, respectively.
Study of numerical treatment of functional first-kind Volterra integral equations
Authors: Falah Hassanein , Darania Parviz , Pishbin Saeed
Published: May 2024

First-kind Volterra integral equations have ill-posed nature in comparison to the second-kind of these equations such that a measure of ill-posedness can be described by $ \nu $-smoothing of the integral operator. A comprehensive study of the convergence and super-convergence properties of the piecewise polynomial collocation method for the second-kind Volterra integral equations (VIEs) with constant delay has been given in [1]. However, convergence analysis of the collocation method for first-kind delay VIEs appears to be a research problem. Here, we investigated the convergence of the collocation solution as a research problem for a first-kind VIE with constant delay. Three test problems have been fairly well-studied for the sake of verifying theoretical achievements in practice.
Mobile Application Based on Convolutional Neural Networks for Pterygium Detection in Anterior Segment Eye Images at Ophthalmological Medical Centers
Authors: Ticlavilca-Inche Edward Jordy , Moreno-Lozano Maria Isabel , Castañeda Pedro , Wong-Durand Sandra , Oñate-Andino Alejandra
Published: May 2024

This article introduces an innovative mobile solution for Pterygium detection, an eye disease, using a classification model based on the convolutional neural network (CNN) architecture ResNext50 in images of the anterior segment of the eye. Four models (ResNext50, ResNet50, MobileNet v2, and DenseNet201) were used for the analysis, with ResNext50 standing out for its high accuracy and diagnostic efficiency. The research, focused on applications for ophthalmological medical centers in Lima, Peru, explains the process of development and integration of the ResNext50 model into a mobile application. The results indicate the high effectiveness of the system, highlighting its high precision, recall, and specificity, which exceed 85%, thus showing its potential as an advanced diagnostic tool in ophthalmology. This system represents a significant tool in ophthalmology, especially for areas with limited access to specialists, offering a rapid and reliable diagnosis of Pterygium. The study also addresses the technical challenges and clinical implications of implementing this technology in a real-world context.
Numerical Investigation of the Coaxial Geothermal Heat Exchanger Performance
Authors: Benyoub Mohammed , Aour Benaoumeur , Oudrane Abdellatif , Kaddour Sadek
Published: May 2024

Space heating and cooling using geothermal heat exchangers is a promising environmentally friendly green energy solution. Modeling these energy storage systems is crucial for optimizing their design and operation. In this context, the present study consists of numerically investigating the effects of various physical properties, including thermal conductivity, density, and specific heat capacity of each material, as well as flow velocity, on the process of heat transfer in vertical geothermal heat exchangers using coaxial pipes to optimize their energy performance. Numerical simulations were carried out using Gambit-Fluent software. Different materials that make up the coaxial heat exchanger structure studied were tested to highlight their effects on the progress of heat flux and temperature. Thermal and fluid mechanics aspects were also studied. At the end of this study, a comparative analysis was carried out using the U-tube geothermal heat exchanger. The results indicate that the heat exchanger using a coaxial tube demonstrates superior thermal efficiency compared to the U-tube configuration. It has been found that using a low velocity with an appropriate selection of tube, grout, and soil materials results in enhanced dynamic exchanges, thereby enhancing the thermal efficiency of the geothermal exchanger.