bluuebunny/crossref_metadata_2025 huggingface dataset:
Recovery of Sulfur from the Residues of the Chemical Method for the Purification of Sulfur from the Farsch Mine in the Al-Mishraq Mine
Authors: Shareef Sulav S. , Halo Thaeir A. , Abdulla Mote’a O.
Published: June 2023

This research aims to recover sulfur from sulfur residues of the chemical method for purifying mine sulfur in the Al-Mishraq mine by studying and using thermal and air-thermal treatment with a temperature range of 130-190 oC and an increase of 10 degrees for each treatment. After being prepared in the sulfur residues (foam) by grinding it to 200 mesh and chemically analyzing it, we find that it contains a high percentage of elemental sulfur, amounting to 89.60% wt. As for its X-ray diffraction, it was found that the crystal structure of elemental sulfur is of an orthorhombic And after the completion of the two thermal and air-thermal treatments, then the extraction of the carbon-sulfur materials by using a 20% NaOH solution and analyzing them by FESEM, it was found that they have nanostructures and their granular size increased three times than the carbon-sulfur materials extracted from the untreated sulfur residue, and that they have a composition and crystal structure similar to graphite doped with sulfur. The industrial sulfur was filtered in a manner similar to the industrial method of sulfur production units, and 75% wt. of sulfur residues was recovered, and it was in conformity with the Iraqi standard specification 2199 of 2002.
Solar Powered Wireless Sensor Network for Water Quality Monitoring and Classification
Authors: Samijayani Octarina Nur , Saputra Tyan Permana , Firdaus Hamzah , Mujadin Anwar
Published: June 2023

Water is essential for human being, also for animals and plants. In Indonesia, there are a lot of residential living in the riverbank which have poor water conditions. People frequenty use water from the river for daily activities. To determine the quality of water, samples are usually taken and tested in the laboratory. This method is less efficient in time and also cost. In order to determine and monitor the quality of water, this paper discuss the Wireless Sensor Network (WSN) to monitor the quality of water from a distance with the self powered sensor node. One of the issue in developing the WSN is the energy. Since this is implemented in outdoor, therefore it is possible to use solar panel to produce the energy. In this study three indicators; pH, TDS, and turbidity; were used to determine water quality based on the Indonesian Minister of Health Regulation. The results examine the WSN performance, and also the analysys of the solar energy supply for each sensor node. The WSN successfully works in detect and clasify tha water quality category and display it in the monitoring center or user. The sensors are calibrated and works with tolerable error of sensor reading of 5,1%. The WSN node is embedded with solar panel to supply the energy for node component. Therefore it able to extend the lifetime of the networks devices with renewable energy to implement the Green WSN.
Reflexões sobre a comunicação não violenta e a juventude
Authors: Lopes da Silva Maria Cristiane , Virgínia Carneiro Gondim Líllian , Silva dos Santos Sanymery
Published: June 2023

A Comunicação Não Violenta é um modo de ser, pensar e viver a compaixão humana. É acima de tudo uma forma de conexão compassiva. Ela surgiu a partir das preocupações do psicólogo Marshall Rosenberg que nos seus longos anos de estudos e pesquisas buscou compreender os comportamentos violentos e compassivos diante de uma mesma situação. Assim, partindo de tal conhecimento, o objetivo deste artigo é apresentar breves considerações da Comunicação Não Violenta (CNV) como um método dialógico e sua relação com a juventude, favorecendo, sobremaneira, a comunicação empática, integrativa e participativa do protagonismo juvenil. Considera-se como trajetória a pesquisa bibliográfica com um autor de referência e outros que também refletem sobre as suas discussões. Enfim, este estudo não virá com resultados ao final, ele aborda questões que não foram aqui exauridas, mas para ficarem as indagações desafiadoras para futuras reflexões e estudos referentes ao tema.
The Aztecs' Huehuetlatolli: "discourse" and education by tradition
Authors: Pereira Melo José Joaquim
Published: June 2023

Current paper shows that the role of ‘ritual discourses’, cultivated within families and schools in the Spanish pre-conquest Aztec society, was the formation of warriors, clerics and Aztec power-ridden people according to the requirements of the period. The ancient discourses or Huehuetlatolli, one of the first educational models developed on the American continente, are analysed as na oral heritage of a far-gone past which should be preserved and transmitted to future generations as received. Imbued with social, political, cultural and educational issues, these oratory artifacts are importante didactic and pedagogical manifestations which made their appearance in the works of the first European missionaries who adapted and employed them in the missionary process and in the chronicles and reports of the Conquest and Colonization periods. The huehuetlatolli are a witness of a society which had clearly in mind the type of person it wanted to form.
Feasibility of producing a liquid additive derived from basalt powder for use in the foliar biofertilizer industry
Authors: Júnior Dal Piva Antonio , Lopes Colpani Gustavo , José Busnello Fábio , Olias Caroline , Vanessa Sauer Aline , Dalcanton Francieli , Reschke Lajus Cristiano
Published: June 2023

The present work aims to evaluate the technical feasibility of using basalt powder in the form of a liquid suspension for agriculture. The study was conducted in different research environments according to their stages and specific objectives, which are as follows: Unochapecó Soil Laboratory; IBRA-SP Laboratory and the UPF Laboratory (Passo Fundo/RS). The concentrations of basalt rock dust in liquid thermal dilution of organic solution were outlined in a factorial scheme (2x3), with Factor A corresponding to Thermal dilution (ºC) and Factor B being the fraction of basalt dust (g), with 4 replications, totaling 24 plots. The response variables analyzed were: N; P2O5; K2O; Here; mg; S; Zn; Ass; Mn; B; Co; Mo and Fe. The collected data were submitted to descriptive and inferential analysis through the variance by the F test (P≤0.05) and the differences between the means were compared by the Tukey test (P≤0.05). When analyzing statistically in an inferential and descriptive way, the proposed methodology is considered technically efficient for the extraction of macro and micronutrients present in the basalt powder, with emphasis on the hot dilution with 100 ml of solute and 50g of basalt powder.
Improving Farmers' Adaptive Coping in the Post-Covid 19 Period
Authors: Kurniyawan Enggal Hadi , Ikhtiarini Dewi Erti , Wuri Wuryaningsih Emi , Deviantony Fitrio , Fitria Yeni
Published: June 2023

The conditions of the COVID-19 pandemic have resulted in feelings of anxiety, pressure, and stress on farmers. Anxiety about living during a pandemic can make farmers feel pressured; this can become a stressor for farmers. Community service activities are carried out to improve Farmers' Adaptive Coping in the Post-Covid 19 Period. Participants in this community service were sugar cane farmers, totaling 30 people. This farming community health education was carried out at the Gucialit Village Hall, Lumajang Regency. Counseling on improving Farmers' Adaptive Coping was conducted for 60 minutes using leaflets, x-banners, and banners as media. Submission of material to sugar cane farmers using the lecture method is carried out for 30 minutes, followed by discussion and question and answer for 30 minutes. The material delivered to sugar cane farmers is a Mental Health Media Kit from the Ministry of Health of the Republic of Indonesia. The health education evaluation results show that farmers can understand and carry out several activities to deal with stress. Health education to farmers about mental health is expected to continue to be carried out to improve farmers' adaptive coping in dealing with stress.
Health Counseling and Provision of Betel Leaves to Reduce Physiological Leucorrhea among Adolescent Girls
Authors: Novelia Shinta , Tiara Carolin Bunga
Published: June 2023

In Indonesia, 75% of women have experienced vaginal discharge at least once, and half have experienced vaginal discharge twice or more. Vaginal discharge is a classic problem for most women. Ironically, most women do not know about vaginal discharge and the causes of vaginal discharge. If not handled properly, vaginal discharge can be fatal. Infertility and ectopic pregnancy (pregnancy outside the womb) can be one of the consequences of vaginal discharge. The early symptoms of uterine cancer usually start with vaginal discharge. This study's betel leaf (Piper betel Linn) belongs to the Peiperaceae family. The part used is the leaves. Betel leaf contains essential oils with compounds that have strong antibacterial properties, referred to as "kavikol" and "kavibetol". Anti-bacterial is also found in boiled betel in water. Betel leaf in traditional medicine is usually used for first aid in first-line treatment in daily medicine, especially as an antiseptic. This activity aims to increase young women's knowledge about the dangers of vaginal discharge and provide intervention in betel leaf boiled water to reduce physiological vaginal discharge. The activity results showed benefits for adolescents as evidenced by the decrease in the incidence of physiological vaginal discharge after being given counseling and betel leaf water.
The Reliability Analysis of a Jacket Platform under Ice Loads Based on Respond Surface Method
Authors:   College of Safety and Ocean Engineering, China University of Petroleum, Beijing, China, Fang Jiayu , Zhang Yu ,   College of Safety and Ocean Engineering, China University of Petroleum, Beijing, China, Zhang Feifan ,   College of Safety and Ocean Engineering, China University of Petroleum, Beijing, China, Xiong Hongxiang ,   College of Safety and Ocean Engineering, China University of Petroleum, Beijing, China, Wang Yi ,   College of Safety and Ocean Engineering, China University of Petroleum, Beijing, China
Published: June 2023

Objective: The jacket platform is made of various types of steel pipes and beams welded, mainly used in shallow water areas, such as Bohai oilfield in China. In winter, the sea area where the platform is located will freeze, and the influence of ice load on the platform can not be ignored. So the influence of ice load on the reliability of jacket platform is studied in this paper. Methods: In this research, the finite element model of the jacket platform was established in the form of beam element, and the loads were applied from different directions to find the load direction with the greatest influence on the platform state. When calculating the ultimate load of the platform structure, it is necessary to carry out nonlinear analysis. Selecting the ice load condition, increasing the ice load step by step on the platform structure. As the applied load gradually increases, the platform will appear nonlinear, then the ultimate load of the jacket platform will be obtain. The pile radius and pile thickness are uncertain components in the reliability study of the jacket platform due to manufacture, processing, and other factors, therefore the values of the pile's parameters are all random. Consider the deviation of geometric parameters with the extreme value type I distribution of ice load, the limit state equation for the strength failure of the platform under ice loads is obtained using Response Surface Method, then the reliability of the platform is calculated by the Monte Carlo method and First Order Second Moment Reliability method. Results: By nonlinear analysis, the ultimate bearing capacity of the platform studied in this paper is about 8000kN. The reliability probability of the platform calculated by Monte Carlo method is 0.9999993, and the reliability index is 4.813. The reliability probability of the platform calculated by the first order second moment method is 0.9999994, and the reliability index is 4.852. Conclusion: The results obtained by the two methods are almost the same, and the reliability index is very large, indicating that the platform can operate safely and reliably under the ice load.
Deteksi Emosi Berdasarkan Sinyal Suara Manusia Menggunakan Discrete Wavelet Transform (DWT) Dengan Klasifikasi Support Vector Machine (SVM)
Authors: Putri Tasya Busrizal , Saidah Sofia , Hidayat Bambang , Qothrunnada Fadia , Darwindra Darwindra
Published: June 2023

Manusia saling berkomunikasi melalui dialog. Suasana hati seseorang merupakan salah satu faktor yang dapat mempengaruhi kualitas komunikasi. Salah satu bentuk yang merepresentasikan suasana hati adalah emosi. Emosi adalah suatu kondisi yang mendorong seseorang untuk melakukan suatu tindakan akibat dari adanya rangsangan. Penelitian mengenai deteksi dan klasifikasi emosi berdasarkan sinyal wicara. Speech recognition merupakan bidang yang berpengaruh pada penelitian ini untuk mengukur tingkat emosi pada manusia. Penelitian ini merancang sistem yang dapat mendeteksi emosi seseorang berdasarkan ciri sinyal wicara. Pada penelitian ini menggunakan metode Discrete Wavelet Transform (DWT) untuk ekstraksi ciri. DWT adalah teknik analisa sinyal yang dikembangkan dari Short Time Fourier Transform (STFT) melalui domain waktu dan frekuensi yang didekomposisi kedalam komponen frekuensi rendah dan frekuensi tinggi. Untuk mendeteksi dan mengklasifikasi emosi berdasarkan suara manusia menggunakan Support Vector Machine (SVM). SVM adalah sistem machine learning yang menggunakan ruang hipotesis dan terdiri dari fungsi-fungsi linear yang dilatih dengan algoritma pembelajaran berdasarkan teori optimasi dengan dimensi tinggi Berdasarkan penelitian ini, didapatkan akurasi tertinggi sebesar 100% dengan parameter terbaiknya menggunakan level dekomposisi 4, jenis wavelet haar dan jenis kernel quadratic. Jenis kernel quadratic memiliki delay consequences yang lebih baik daripada jenis kernel SVM yang lain dan hasil klasifikasinya dapat diverifikasi menggunakan kurva ROC.
STRATEGI ADAPATASI NELAYAN PENGEMBANGAN WISATA PANTAI 9 DI DESA BRINGSANG, KECAMATAN GILI GENTING KABUPATEN SUMENEP
Authors: Kusumah Widiyanto , Prananta Arie Wahyu Prananta , Rahmawati Aminah Dewi Rahmawati , Budiyanti Syamsu
Published: June 2023

The construction of Pantai 9 Sumenep distric Madura Island has had positive and negative impacts on the Madurese community. Ecotourism project development that has been planned by the government certainly requires a land acquisition program. This land acquisition program became the next stage with the establishment of Pantai 9 to turn Madura into an industrialized area. The pros and cons of the people of Pantai 9 in the land acquisition program have made the community fight against the government.

To find out the form of community resistance to the government in land acquisition for ecotourism projects in Bringsang Village, Gili Genting District, Sumenep Regency. purposive sampling technique, the type of data used is primary data and secondary data. Primary data obtained from unstructured interviews. Secondary data obtained from literature study.

In this study to analyze the data using the theory of resistance Sidney Tarrow. The results showed that the form of resistance owned by the people of Pantai 9 was with actions based on the politics of resistance that facilitated the public to openly express opinions. Creating an organizational structure for community groups against evictions as a vehicle for mobilizing the resistance movement and the process of framing the Pantai 9 community groups together making banners by creating meanings by displaying slogans.
Orbital and Suborbital Tourism Challenges—Some Legal Aspects
Authors:   International and European Union Department, University of War Studies, 00-910 Warsaw, Poland, Polkowska Małgorzata
Published: June 2023

Space tourism is recreational space travel, whether by government vehicles, such as the Russian Soyuz and the International Space Station (ISS), or by vehicles built by private companies. Since the flight of the world’s first space tourist, American businessman Dennis Tito (28 April 2001), space tourism (orbital) has been slowly growing. Orbital space tourism is very expensive, so a number of private companies have decided to concentrate on building much cheaper suborbital vehicles, designed to take passengers to altitudes of up to 100 km. On 4 October 2004, SpaceShipOne, funded by Virgin Galactic and designed by an American engineer, won the X Prize and, in doing so, ushered in a new era of commercial crewed spaceflight and space tourism. Since then, the design and construction of suborbital spacecraft have become increasingly popular. Such ships, in principle, do not have the ability to cross the imaginary 100 km boundary and enter the Cosmos area. However, space tourists can find themselves weightless for a few minutes. In fact, not only technical but legal difficulties have caused suborbital tourism to develop at a slow pace so far. This article concentrates on some legal challenges regarding space tourism, not going into details about states’ politics and international organizations’ activities.
A Comparative study on Soil Microflora and Nutrient Status of Sholas and Adjoining Vegetation
Authors: Venkatachalam S. , Kalaiselvi T. , Neelakantan K. , Gunasekaran S.
Published: June 2023

With a view to assess microbial diversity and fertility status of sholas of Nilgiris and adjoining vegetation, a laboratory study was carried out at Forest College and Research Institute, Mettupalayam. In general, the density of microflora varied widely among sholas as well as between shola and other vegetation. The density of bacteria and actinomycetes was found to be higher in Longwood shola, while Thai shola exhibited greater bacterial diversity. Among the shola rhizosphere, Evodia lunu ankenda harboured greater number of bacteria and actinomycetes. The physico-chemical analyses of soil samples showed that sholas were less acidic with higher organic carbon content, available macronutrients viz., nitrogen, phosphorus and potassium compared to the adjoining grasslands, tea plantations and mixed plantations of Blue gum and Black wattle.
Neutrosophic-based Machine Learning Techniques for Analysis and Diagnosis the Breast Cancer
Authors:   Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES Ambato), Ecuador, Torres Rosita Elizabeth O. ,   Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES Santo Domingo), Ecuador,   Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES Ambato), Ecuador, Gutiérrez Jhonny Rodríguez Guti� , Jacome Alex G. Lara
Published: June 2023

Approximately one in eight women will get breast cancer in their lifetime. Because of the risks associated with radiation exposure, various women choose to avoid getting detected with breast cancer. Non-invasive breast cancer detection methods have limitations concerning the safety of radiation exposure and the accuracy with which tumors in the breast are diagnosed. Machine learning methods are commonly used to diagnose breast cancer. This paper applied three different machine learning methods like KNN, Naïve Bayes, and ID3. These methods are applied to the Wisconsin Breast Cancer dataset. In the process of categorization, data with unbalanced classes is problematic because methods are more probable to categorize fresh observations to the majority class since the likelihood of cases forming the plurality class is considerably high. So neutrosophic set is used to overcome the vague and uncertain data. This paper used single-valued neutrosophic numbers to evaluate the criteria. This paper used ROC and accuracy to evaluate the methods. The KNN has a 96.7%, Naïve Bayes has a 95.2%, and ID3 has a 95.3% accuracy.
Assessment and prediction of Chronic Kidney using an improved neutrosophic artificial intelligence model
Authors:   Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES), Ecuador, Bandera Neyda Hernández ,   Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES Santo Domingo), Ecuador,   Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES Ambato), Ecuador, Arizaga Jenny M. Moya , Reyes Enrique Rodríguez
Published: June 2023

CKD, or chronic kidney failure, is characterized by a gradual decline in kidney operation over time and may be linked to a wide range of medical conditions. Initial detection and therapy are the best tools for combating chronic kidney disease, although they often only delay the development of renal failure. The eGFR-based CKD grading system is useful for risk stratification, patient monitoring, and treatment strategy development. Personalized care and treatment planning will be possible if this research is successful in predicting how soon a CKD individual will need to begin dialysis. The machine learning methods used to predict CKD. But the dataset contains uncertain information, so the neutrosophic set is used to overcome this issue. This paper suggests a framework including the neutrosophic DEMATEL and machine learning method to predict CKD. The neutrosophic DEMATEL method is used to give weights to all variables of the dataset. Then conduct the preprocessing data to eliminate the variables with the least weight. The three machine learning methods used in this paper are Gradient Boosting (GB), Ada Boosting (AB), and Random Forest (RF). The results show the accuracy of the three algorithms. The AB has a 99.166% accuracy, and it is the highest accuracy in this paper followed by the GB has 98.3%, then RF has 92.85%.
Dietary Strategies for People with Celiac Disease by Neutrosophic Entropy Approach
Authors:   Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES Santo Domingo), Ecuador, Romero Ximena Trujillo ,   Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES Ambato), Ecuador,   Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES Ambato), Ecuador, Veloz Alvaro P. Moina , Álvarez Daniela A. Cobo �
Published: June 2023

Celiac disease is an autoimmune illness that causes damage to the small intestine and, in some cases, the bones as well. Histological analysis of duodenal biopsies obtained during upper digestive endoscopy is required for a diagnosis. The production of antibodies may be detected by immunological testing by taking a blood sample. Histology takes a long time, and endoscopy is intrusive. This paper used the MCDM method to compute the objective the celiac disease. In statistical distribution theory, entropy is often employed as a proxy for the uncertainty, unpredictability, or chaos of experimental results. The literature's entropy approaches provide a numeric measure of a random variable's information but struggle to handle data with interval values. The results of an experiment with an unknown outcome are often presented in interval form. The entropy method is used to compute the weights of the criteria. The neutrosophic sets were used to overcome the uncertain information in this study. This paper used six criteria and nine alternatives. The results are shown in this study.
The impact of economic growth and fiscal policy on poverty rate in Uzbekistan: application of neutrosophic theory and time series approaches
Authors:   Tashkent State University of Economics, Uzbekistan, Usmanova Aziza
Published: June 2023

The aim of this paper is to analyze how economic growth and fiscal policy impact on poverty rate in Uzbekistan. To reach this aim neutrosophic-AHP method was applied together with two time series models, namely Autoregressive Distributed Lags (ARDL) and Vector Autoregression (VAR) models. The statistical data of Uzbekistan over the period of 2000-2021 was used. Neutrosophic-AHP served as a basis for time series analysis. In accordance with AIC and BIC criteria, VAR was chosen as the most adequate model. Results of VAR model showed that a poverty rate has a delay effect on two years, when the increase of the second lag of poverty difference by one unit also increased current poverty difference by 0.501 units. Also, it was revealed that economic growth affects poverty adversely with delay in one lag, whereas taxes – with two lags. Interesting situation occurred with government expenditures, which impacted negatively on poverty after a one-year lag, but positively after two lags.
Colorectal Cancer Prediction Using Machine Learning and Neutrosophic MCDM Methodology: A Case Study
Authors:   Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES Ambato), Ecuador, Rodríguez Juan Viteri Rodr� ,   Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES Santo Domingo), Ecuador,   Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES Ambato), Ecuador, Martínez Julio Rea Mart� , Salazar Freddy F. Jumbo
Published: June 2023

The third most common disease worldwide, colorectal cancer (CRC) is responsible for around 10% of annual cancer diagnoses. The success of personalized treatment hinges on the ability to recognize biomarkers linked with CRC longevity and forecast the prognosis of CRC patients. The goal of this research is to provide a novel approach to doing multi-attribute colorectal cancer analysis by using machine learning algorithms with multi-criteria decision-making (MCDM) methods and neutrosophic set (NS). The NS is used to overcome the uncertainty in the dataset. This paper used the neutrosophic AHP method to get the weights of features in the used dataset. Then the machine learning algorithms are used to give analysis and prediction of colorectal cancer. The decision tree (DT) and support vector machine (SVM) is used to analyze and predict colorectal cancer. The dataset has nine features like age, gender, dukes stage, location, and Disease-free survival. This paper shows the analysis of the dataset and the correlation among the features.
Difference in impact on emergency department visits following four major peaks of COVID-19 cases
Authors: Chiu Wen-Ta , Toy Stanley , Chon John , Giordano Steve , Aflakian Kaveh , Tsang Ellie , Lin Wan-Yi , Pan Pei-Chen , Yeh Chia-Hsing , Jiang Ting-Yun , Huang Chia-Huei , Wu Su-Yen , Wu Jonathan
Published: June 2023

Objective: Several variants of SARS-CoV-2 have emerged since its first appearance in 2019, greatly impacting healthcare systems across the globe. Previous literature indicated a substantial decline in emergency department (ED) visits in hospitals since the start of the COVID-19 pandemic. However, little research has been done to compare different variants’ (Ancestral, Alpha, Delta, Omicron, etc.) impact on patients presenting to the ED. Thus, the purpose of this retrospective observational study is to compare the changes in total ED volume following four major peaks of SARS-CoV-2 infection within a multi-hospital health system.Methods: Utilizing electronic healthcare record (EHR) data, total ED visits (484,268) and COVID-19 case counts (24,358) were collected and analyzed to compare ED census and COVID-19 trends across four years and four variant peak periods, from January 2019 to June 2022.Results: Results showed that ED visits declined after the first two major peaks (Ancestral and Alpha) in COVID-19 cases, which was consistent with national trends and prevailing literature. In contrast, ED visits increased following the fourth major peak (Omicron) in COVID-19 cases.Conclusions: The increase in ED visits following the fourth major peak was inconsistent with previous literature and trends. This may be attributed to the severity differences between variants, increased vaccination uptake, newly adopted public countermeasures, and evolving perceptions of safety and fear regarding COVID-19. These results underscore the critical importance for health administrators and policy planners to be cognizant of new strategies that alleviate barriers to receiving emergency care, especially during times of crisis.
JOINT VENTURE AND STRATEGIC ALLIANCE
Authors: Abdul Azis  , Asmara Dewi  , Auzar  , Ganar Septyadi  , Riduan Sihite  , Indrayani  , Muammar Khaddafi
Published: June 2023

This study aims to analyze the effect of Capital Adequacy Ratio, Non Performing Financing, Financing To Deposit Ratio and Operating Expenses and Operating Income on profitability at PT. Sharia Aceh Bank. Where in this study profitability is seen from the return on assets (ROA). This study uses a quantitative method using the Autoregressive Distributed Lag (ARDL) approach. This study uses time series data or time series data where this research was conducted during the period 2012 to 2021. The results of this study indicate that the Capital Adequacy Ratio partially has no effect, Non Performing Financing partially has a positive and significant effect, Financing To Deposit Ratio partially has an effect negative and significant,
NAQD AS-SANAD : METODOLOGI VALIDASI HADITS SHAHIH
Authors: Kamaluddin Ahmad
Published: June 2023

Hadith is one source of Islamic law that has its privileges. This specialty lies in the narration system (sanad) implemented by hadith scholars to validate the validity (truth) of a hadith. The system was formulated by scholars by looking at the continuity of the sanad, the credibility of a narrator, and avoiding defects (syaz and 'illat). This paper aims to see how the urgency of the method of criticizing the credibility of a hadith narrator (Naqdus sanad) is to obtain an authentic hadith.
Շնչառական վարժանքների շտկող ազդեցությունը էկոլոգիապես անբարենպաստ բնակավայրերի
դպրոցականների սիրտ-անոթային համակարգի գործունեության վրա
Authors: Կարապետյան Մ. Ա. , Աղաջանյան Ս. Ռ. , Ադամյան Ն. Յու.
Published: June 2023

Нормальное течение биохимических и физиологических процессов, обеспечивающих жизнедеятельность организма, в числе других функциональных систем, зависит и от нормального функционирования сердечно- сосудистօй системы. На показатели сердечно-сосудистой деятельности (частота сердечных сокращений, систолическое, диастолическое и пульсовое давление) может влиять ряд внешних и внутренних факторов: атмосферное давление, количество кислорода в атмосфере, экологическое состояние окружающей среды, различные патологии организма и др., которые могут стать причиной различных болезней. В группу риска данной проблемы входят жители районов, расположенных вблизи экологически неблагоприятной среды, особенно в регионе открытых рудников. Методом специальных дыхательных упражнений, в частности для школьников средних классов, можно снизить этот риск и предотвратить развитие патологических процессов в организме.
The normal course of biochemical and physiological processes that ensure the vital activity of the body, including other functional systems of the body, depends on the normal functioning of the respiratory and cardiovascular systems. The indicators of the cardiovascular system (heart rate, systolic, diastolic and pulse pressure) can be influenced by a number of external and internal factors: atmospheric pressure, the amount of oxygen in the atmosphere, the ecological state of the environment, various pathologies of the body, etc., which can cause various diseases.The risk group of this problem includes residents of districts located near ecologically unfavorable environment, especially in the region of open mines, particularly the school children of that region. By means of special breathing exercises, especially among middle school students, this risk can be reduced and the development of pathological processes in the body can be prevented.
Применение метода интраоперационного нейромониторинга при хирургии щитовидной железы
(наш первый опыт)
Authors: Варжапетян А. М. , Месропян Р. Н. , Петросян Д. И. , Варжапетян Л. А.
Published: June 2023

Հետազոտության նպատակն է գնահատել թիրեոիդէկտոմիաների ժամանակ հետադարձ կոկորդային նյարդերի նեյրոմոնիթորինգի դերը և ազդեցությունը բուժման արդյունքներում։ Կատարվել է 2018-2021 թթ. ընթացքում թիրեոիդէկտոմիայի ենթարկված 656 հիվանդների բուժման արդյունքների ռետրոսպեկտիվ վերլուծություն։ Հիվանդները բաժանվել են 2 համարժեք խմբի։ 357 հիվանդի վիրահատության ընթացքում (առաջին խումբ) իրականացվել է հետադարձ կոկորդային նյարդերի նեյրոմոնիթորինգ, ստուգիչ երկրորդ խմբում (299 հիվանդ) նեյրոմոնիթորինգ չի իրականացվել։ Առաջին խմբում հետադարձ կոկորդային նյարդի վնասում արձանագրվել է 7 դեպքերում (6-ի մոտ անցողիկ պարեզ(1,68%), 1-ի մոտ՝ կայուն պարալիչ (0,28%), երկրորդ խմբում հետադարձ կոկորդային նյարդի վնասում արձանագրվել է 30 դեպքերում (21-ի մոտ՝ անցողիկ պարեզ (7,02%), 9-ի մոտ՝ կայուն պարալիչ (3,01 %): Բուժման արդյունքների համեմատական վերլուծությունը Хи-квадрат կրիտերիայի կիրառմամբ թույլ է տալիս եզրակացնել, որ թիրեոիդէկտոմիաների ժամանակ հետադարձ կոկորդային նյարդերի նեյրոմոնիթորինգի կիրառումը վիճակագրորեն հավաստի (p<0.001) նվազեցնում է նշված նյարդի վնասման և հետվիրահատական պարեզների/պարալիչների առաջացման հավանականությունը։
The purpose of the study is to assess the role of neuromonitoring of the recurrent laryngeal nerves during thyroidectomy and its effect on the treatment results.
A retrospective analysis of the treatment results of 656 patients, who underwent thyroidectomy during 2018-2021, was carried out. The patients were divided into 2 equal groups. Intraoperative neuromonitoring of the recurrent laryngeal nerves was performed in 357 patients (first group), neuromonitoring was not performed in the second control group (299 patients). In the first group, recurrent laryngeal nerve damage was recorded in 7 cases (transient paresis in 6 cases (1,68%), permanent paralysis in one case (0,28%)), in the second group, recurrent laryngeal nerve damage was recorded in 30 cases (transient paresis in 21 cases (7,02%), permanent paralysis in 9 cases(3,01 %)). The comparative analysis of the treatment results using the Xi-square criteria allows us to conclude that the use of neuromonitoring of the recurrent laryngeal nerves during thyroidectomies statistically reliably (p<0,001) reduces the probability of damage and the occurrence of postoperative paresis/paralysis to the above mentioned nerve.
Machine Learning In Finance
Authors: Kelly Michael
Published: June 2023

In this article, we will focus on machine learning (ML) or as it is more popularly called, artificial intelligence (AI)
Developing an Intelligent Farm System to Automate Real-time Detection of Fungal Diseases in Mushrooms
Authors: Jareanpon Chatklaw , Khummanee Suchart , Sriputta Patharee , Scully Peter
Published: June 2023

Mushrooms are economically valuable crops of high nutritional value. However, during cultivation they are continually threatened by fungal diseases, even in controlled-condition farm ecosystems. Fungal diseases significantly affect mushroom growth and can rapidly contaminate an entire crop. Farmer inspections can be hazardous to farmer health. This paper contributes an automated fungal disease detection system for the Sajor-caju mushrooms together with an intelligent farm system for precise cultivation environment control. The objective was to create and test a detection system that could detect fungal diseases rapidly, reduce farmer exposure to fungal spores, and alert farmers when fungal disease was detected. The system is composed of three parts: (i) a high-precision environment control system, (ii) an innovative imaging robot system, and (iii) a real-time fungal disease prognosis system using deep learning, with an alarm system. The trial results show that the real-time disease prognosis system has 94.35% precision (89.47% F1-score, n=13,500), and its twice daily inspections detect and report fungal disease typically within 6 to 12 h. The innovative farm’s overall capability for mushroom cultivation (environment control) is regarded as excellent and has precise control (99.6% capability, over 3-months). The innovative imaging robot’s overall operational trial performance is effective (at 99.7%). Moreover, the system effectively notifies farmers via smartphone when a fungal disease is detected.
Investigation of Anti-hepatocarcinogenic Effects of Senna auriculata Silver Nanoparticle and Evaluation of Their Antioxidant Potential
Authors: Poornasundari Baluchamy , Arivoli Subramanian , Sankarasivaraman Karuppasamy
Published: June 2023

Plant-based biogenic nanoparticle synthesis has appeared as a feasible alternative to conventional approaches to chemical synthesis. As a result, several environmentally benign methods for the quick production of silver nanoparticles have been published in recent years. The methods employ aqueous extracts of plant components like leaves, bark, and roots. In the present study, silver nanoparticles were synthesized from an aqueous leaf extract of S. auriculata. UV-vis spectroscopy, Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and energy dispersive x-ray analysis (EDAX) were employed to validate the synthesized nanoparticles. The UV analysis showed a peak range between 390-420 nm. FTIR showed the functional groups present in the silver nanoparticles (AgNPs). Moreover, the synthesized AgNPs were tested for their antimicrobial activity against both gram-negative and gram-positive bacterial strains. The antioxidant properties were studied with DPPH, hydrogen peroxide, and nitric oxide scavenging activity assays, and a cytotoxic assay was conducted against the Huh-7 cell line by a MTT study. The results showed that the synthesized silver nanoparticles possessed strong antibacterial, antioxidant, and cytotoxic activities against the Huh-7 cell line, indicating that the silver nanoparticles might be used in the pharmaceutical industry and for novel biological applications.
BLOCKCHAIN ÜZERİNE YENİ BİR HALKA: NON-FUNGIBLE TOKEN (NFT)'NİN BİLİNİRLİĞİ ÜZERİNE BİR ARAŞTIRMA
Authors: KONAK Fatih , ÖZKAHVECİ Esra
Published: June 2023

Her geçen gün önemi daha belirgin hale gelen blockchain, açık anahtarlı şifreleme ile güvence altına alınan ve blok dizisinden oluşan sayı dizisidir. Günümüzde blockchain tabanlı oluşturulan yüzlerce kripto para birimi bulunmaktadır. Yakın zamanda kripto para piyasanın gelişmesi ile birlikte Non-Fungible Token olarak ifade edilen dijital bir varlık dikkatleri üzerine çekmiştir. Benzersiz kimlikleri olan NFT, koleksiyon, sanat eserleri, sanal dünyadaki nesneler ve diğer oyunlardan dijitalleştirilmiş karakterlerdir. Non-Fungible Tokenler yatırımcılara bir nesneyi satın alma veya satma yolunu tanıtırlar. Ayrıca bu varlıklar çevrimiçi olarak, çoğunlukla kripto para birimiyle işlem görürler ve bir blok zincirindeki akıllı sözleşmeler içinde kodlanırlar. Bu perspektifte araştırmanın amacı, 2020-2022 yakın dönemde "Non-Fungible Token" ve kısaltması "NFT" terimlerinin Google aranma sıklıklarını ‘finans’ alt segmentinde inceleyerek, ABD ve Türkiye ülkelerinde karşılaştırmalı olarak tespit etmektedir. Araştırma sonucunda elde edilen Google Trends verileri, kullanıcı/yatırımcının "Non-Fungible Token"den ziyade baş harflerinden oluşan "NFT" kavramını 2021 yılı itibarıyla daha çok bildiğini işaret etmiştir. Bu kapsamda araştırma güçlü bir pazar haline gelen ve yatırımcının bir anda dikkatini çekmeyi başaran "Non-Fungible Token" ve kısaltması "NFT" kavramlarının finans literatüründeki bilinirlilik düzeyini belirleme aşamasında ulusal literatüre özgün değer katmaktadır.
EXPLORING THE MOTIVES OF PILGRIMAGE TOURISM IN SELECTED DIOCESAN SHRINE AND PARISH CHURCHES
Authors: AURE NICOLE AUSTINE ALMANZOR , RAMOS ANGELA REGINA , SILVESTRE ZIARAJH , ESPLANADA DEOGRACIAS EVANGELISTA
Published: June 2023

The purpose of this study is to know the motives of tourist visiting the Diocesan Shrine and Parish of Nuestra Senora De Candelaria in Silang, Cavite and Diocesan Shrine and Parish of the Our Lady of the Pillar-Imus Cathedral. The two parishes were chosen in the study because the two churches are both heritage sites. By conducting survey, the researchers will know if the tourist visits for religious or secular purposes. Quantitative Research will be used by the researchers. The sampling method will also be used. Based on the results, the purpose of most tourists for visiting was for secular purpose. It has a percentage of 56.66% while the religious purposes have a percentage of 43.33 % percent. The study aims to determine the tourist’s preferences on visiting two selected churches in Cavite. The study’s finding tells that the tourists’ motivational visits are for secular reasons. It was found that religious motives significantly prevail as very important factors for visitors to set out on journey in comparison to secular motives which is regarded as not very important travel motivator towards religious sites.
INFECTION CONTROL FOR TERTIARY CARE, PAKISTAN: A CROSS-SECTIONAL STUDY OF STAFF ATTITUDES AND PRACTICES
Authors: KHAN RUBY , PARI BAKHT
Published: June 2023

Healthcare-associated infections pose a significant threat to patient safety and are a leading cause of morbidity and mortality. Nurses, in particular, are constantly exposed to microorganisms during their nursing activities; making infection control practices a crucial aspect of their work. This cross-sectional study aimed to evaluate the knowledge, skills, and judgment of nursing staff in two tertiary care hospitals in relation to infection control measures. Out of 158 participants, 156 were included in the study, and the data were analyzed using SPSS software. The results showed that 82% of nurses at HMC had good knowledge, while only 42% of nurses at KTH had fair knowledge regarding infection control. The study identified gaps in specific aspects of knowledge and practice, particularly regarding the proper use of personal protective equipment. The study recommends that health ministries provide comprehensive training programs and that healthcare workers be directed to use authentic sources of information to improve their knowledge, attitude, and practice regarding infection control.
Mapping Global Populism — Panel 2: Populism, Macho-Fascism and Varieties of Illiberalism in The Philippines
Authors:   European Center for Populism Studies (ECPS), Tusor Anita
Published: June 2023

This report is based on the second panel of ECPS’s monthly panel series called “Mapping Global Populism” which was held online in Brussels on April 27, 2023. After concluding our “Mapping European Populism” Panel Series, ECPS is moving beyond the borders of Europe and expanding its project to include cases of populism around the world by organizing a new panel series to map global populism, bringing scholars together every month to discuss the state of political populism in a different region of the world. The second panel hosted 4 prominent scholars from Australia, Hong Kong and the Philippines. As a by-product of this fruitful panel, the report consists of brief summaries of the speeches delivered by the speakers.
Effectiveness of Motivational Techniques in Enhancing Teaching-Learning Process
Authors: Udto Kalid T. , Ibrahim Acmad M.
Published: June 2023

The main purpose of this study is to identify the motivational techniques used by the teachers and their effectiveness in enhancing teaching-learning process. The study used a descriptive research design and utilized a survey questionnaire as a research instrument in gathering data. In addition, the second year students taking Bachelor of Elementary Education (BEEd) of Illana Bay Integrated Computer College, Inc. served as the respondents of this study.The study found out that asking questions is the most used motivational technique by the teachers and it is also the most effective motivational technique employed to enhance teaching-learning process
Analyzing the Reading Habits of Medical Students: Insights from a Research Study
Authors: Nagavolu Dr Venkata Rao , Bandaru Mohan
Published: June 2023

modern saying is, "The chapter you are learning today will save someone's life tomorrow. Pay attention." Acquiring knowledge through reading is crucial for the learning process of a medical professional. "A doctor is a student until he dies; once he considers himself not a student anymore, the doctor inside him dies" It can form part of an individual and become a habit, which, once developed, becomes very difficult to break. Reading habit is an essential life skills. Reading in clinical practice is necessary as it is related to clinical competencies. This study investigates the reading habits of medical students at GITAM Institute of Medical Sciences and Research, GITAM University, Visakhapatnam. One hundred students participated in the study through an online questionnaire. All 100 students responded that work most often is engaging with their reading and studying. This study assesses knowledge, attitude, and practice of reading habits among medical students at GITAM Institute of Medical Sciences and Research at Visakhapatnam.
Mediation in de politiefase van het strafproces
Authors: de Vries Jan Jasper
Published: June 2023

Mediation in an earlier stage of the criminal justice process

The Policy framework for restorative justice facilities during the criminal justice process describes which restorative justice facilities are available in the Dutch justice system when a case is settled by the public prosecutor’s office or is heard by a judge. The policy framework describes that mediation is only available when the decision of the police, to submit the criminal file to the public prosecutor, has already been made. Mediation currently plays no formal part in that decision. The aim of this article is to explore the possibilities of mediation when a case is handled by the police, taking into account the discretion of the public prosecutor to decide whether to prosecute or not (Dutch principles: ‘vervolgingsmonopolie’ and ‘opportuniteitsbeginsel’). The author explores the way in which legislation can take shape in the Dutch justice system and drafts a law for the application of mediation in an earlier stage of the criminal justice process.
Maximaal strafrecht?
Authors: ten Voorde Jeroen
Published: June 2023

Maximum criminal law? Some reflections on Gade’s concept of punishment

According to the author, Gade’s argument lacks persuasiveness, in particular with regard to the elaboration of the concept of punishment and his proposal to adopt a consequentialist approach to punishment. We are in need of a critical interpretation of the concept of punishment, especially when it comes to restorative justice arrangements.
Geen consequentialisme, maar fatsoen en verzoening
Authors: Geeraets Vincent
Published: June 2023

Not consequentialism, but decency and reconciliation. A response to Christian Gade

The author criticizes Gade’s consequentialist perspective, a way of thinking that is prevalent in restorative justice theory. The motives of restorative justice protagonists are much more characterized by a basic principle to deal decently with crime, wherein both perpetrators and victims are treated with respect.