bluuebunny/crossref_metadata_2025 huggingface dataset:
La matemática: ciencia clave en el desarrollo integral de los estudiantes de educación inicial
Authors: Rodriguez Milagros Elena
Published: May 2022

La matemática forma parte del desarrollo integral del individuo, pero este hecho no es evidente en sus primeros niveles de estudio. En este articulo de reflexión, se muestra una investigación cualitativa, reflexiva con sustento documental que da elementos sustentables que permiten que la matemática contribuya en el desarrollo integral de los estudiantes de Educación Inicial. Se concluye que la pedagogía integral es un apoyo para la enseñabilidad de la matemática, inmiscuyendo la imaginación y sensibilidad del individuo con la vida y la matemática; utilizándola para darle explicación a los fenómenos. Los juegos en la enseñanza de la matemática permiten: desarrollar la personalidad; formar en las diferentes áreas del currículo; desarrollar social, psicológica, sensorial, motriz y cognitivamente; integrándose con la cotidianidad del estudiante, desarrollando sus potencialidades: psíquicas, emocionales, cognitivas y formando un individuo en valores y con amor por la matemática.
Repitencia en estudiantes de Medicina Caracterización y causas.
Authors: González Ortíz Lucy , Daza de Ramos Diana
Published: May 2022

Con el objetivo de caracterizar el perfil del estudiante repitente de I a V semestre de Medicina de la Fundación Universitaria San Martín, sede Puerto Colombia, y determinar las causas de esta condición, se realizó un estudio exploratorio de caso múltiple en el período comprendido entre febrero de 2007 y febrero de 2008. Integraron la muestra 35 estudiantes y 7 docentes; la información se obtuvo de fuentes primarias y secundarias y se emplearon técnicas de análisis de contenido (categorías, triangulación) y distribución de frecuencias. Los resultados muestran que el estudiante repitente ingresa en edad adolescente, en su mayoría provienen del departamento del Atlántico, con puntajes ICFES en nivel medio, promedios académicos bajos y han reprobado en más de una vez. Estudiantes y docentes identifican las causas académicas de reprobabilidad, en especial la falta de estudio, como las más importantes, seguidas por las afectivas. Los estudiantes poco reconocen sus dificultades en la lectura y la escritura, el ausentismo y la personalidad poco activa; ante la reprobabilidad, reaccionan muy emotivamente pero no evidencian su empeño en superarla; no acuden a las actividades de apoyo ofrecidas por la Universidad y sus padres no les hacen mayores exigencias respecto a rendir académicamente. El 37.1% de los estudiantes incluidos en éste estudio, un año después no se matricularon.
Detection Measurements of Some Drugs Materials in Fingerprints
Authors: Mohammed Fatima , Mahdi Samira A.
Published: May 2022

The major goal of this project is to use the Gas Chromatography–Mass Spectrometry (GC-MS) instrument to evaluate the fingerprints of illicit amphetamine. Samples of amphetamine were obtained from the Iraqi Narcotics Control Bureau. The fingerprints were examined before and after contamination with anesthetic powder. The results showed a clear difference between the spectrum of the pure fingerprint and the spectrum of the contaminated fingerprint with amphetamine. The highest peak of the drug sample was recorded at the time (6.80) minutes and Abundance 120000, and in contrast the appearance of the same peak in the fingerprint sample at the time (6.80) and Abundance 120000, and thus we find that the (GC-MS) device is sensitive for a small amount of drugs and can be used to detect it in the fingerprints.
Assessment of Pinhole for Visual Acuity Recoverment in Patients with Myopia
Authors: Samee Dr. Nidaa , Safaa Dr. Mohammed , Zayed Zaid Fadhil Fakher , Ali Abdullah Abbas , Saad Moheb Abbas Jassim , Saeed Mahdi Salman Muhammad , Drsan Dhulflqar Idrees Mohammed
Published: May 2022

Refractive errors are difficulties with concentrating retina light accurately because of the cornea or eye shape. The mostly mutual refractive error types are near sightedness, farsightedness, astigmatism, and presbyopia. Refractive errors can be fixed with contact lenses or glasses, or fix the refractive error with surgery. One of the most valuable way to correct the visual acuity is the usage of glasses as pinhole. Glasses as pinhole are typically eyeglasses with lenses that are full of a grid of tiny holes. They help eyes concentrate through shielding vision from indirect light rays. Through allowing less light into the eye, few people can see more clearly.1 In this work, the pinhole technique will be described with their usage to correct the visual acuity. In addition, 40 patients with myopia and astigmatism have been tested using the pinhole to assess the more useful pinhole size for the visual acuity correction. Results: The finding revealed no difference of significance in refractive error of both myopic left (p= 0.07) and right eyes (p= 0.06) without and with glasses as pinhole. Also there was no significant different for gender (male, female), and there was no significant different between patients with age ≤20years and patients with age >50 years values. Conclusion: The findings propose that glasses as pinhole did not recover the refractive myopic participant’s error.
The Digital Transformation in the Peruvian Customs
Authors: Casco Roque Juan Espinoza , Castaneda Doris Yaya , Lucar Rudy Gonzalo Chura , Jibaja Leonardo Castilla , Quesada Tania Quiroz
Published: May 2022

The public and private institutions of the different countries of the world to improve the effectiveness and efficiency in the service require to be at the forefront of technological changes, Customs being one of them, because foreign trade has increased considerably worldwide. The objective of the study was to analyze the digital transformation in the Peruvian Customs. The qualitative approach was used through the grounded theory of cross-section and exploratory scope. A semi-structured interview was conducted with twenty officials from customs agencies. From the interviews, it was obtained as emerging categories according to the interviews, which produced costs, simplified processes and saved time. The analysis of the interviews allowed us to conclude that the changes implemented in the digital transformation of the Peruvian customs have been favorable, contributing to improvements in foreign trade.
Personality Disorder in Cognitive Distortions of Prison Inmates for Crimes of Aggression and Violence
Authors: Garay Jessica Paola Palacios , Santana Sofia Sairitupac , Taboada Máximo Abel Rodriguez , Urbina Sandra Maribel Dioses , Vergara Gloria Luz Cueva
Published: May 2022

The objective of the study was to determine the influence of personality disorders on the cognitive distortions of the aggressor. The research methodology was carried out under a quantitative approach, type of basic study, hypothetical deductive method, the technique was the survey and the questionnaire was the instrument for personality disorders (IPD E) and for cognitive distortions (IPDMUV-R). ). The results showed that the personality disorder influences 100% of the cognitive distortions. In that sense, the personality disorder is determined by the dimensions for a better relationship with distorted thoughts. It is concluded that cognitive distortions are characterized by frequently presenting psychological alterations due to personality disorders, lack of control over anger, difficulties in expressing emotions, deficits in communication skills, problem solving and low self-esteem.
Research Hotbeds: A Practice for Scientific Development in Universities
Authors: Vasquez Kriss Melody Calla , Rivera Julia Lizet Torres , Mayuri-Ramos Elizabeth , Huamani-Torres Ruth , Rivera-Zamudio July
Published: May 2022

The study carried out seeks to explain how the seedbeds; they are part of the formative research program of the universities to fine-tune research methods, strengthen critical thinking; problem solving and promoting innovation. In this sense, the study was developed under the quantitative approach of cross-sectional scope; descriptive-correlational level; with the non-probabilistic-intentional sampling type. With the participation of 1116 university students of the formative research program. Obtaining as a result that the relevant point that the training sessions in the framework of the formative research showed to the research hotbeds is that they were related to the particular interest of the participants for an effective management of the bibliographic reference managers. There is an interest in accessing scientific databases; and optimally handle software such as Zotero, EndNote and Mendeley; in order to manage scientific information through storage, organization, managing citations and bibliographic references. Coming to the conclusion that the seedbeds represent in the formative research of the universities; a program to stimulate the development of research skills in students of various cycles through the development of courses related to research methodology, scientific writing, use of computer tools for managing references.
Canva and Collaborative Learning in Virtual Environments with Students from the Private Universities of Lima-Peru
Authors: Menacho–Vargas Isabel , Rojas Milagritos Leonor Rodríguez , García Ulises Córdova , Aybar Hugo Neptali Cavero , Sánchez Washington Damián
Published: May 2022

The use of digital tools in the educational sector has generated great impacts in the development of virtual classes, since they provide the possibility of interaction between students to carry out work in groups, such is the case of Canva, which facilitates the creation of online infographic materials with creative designs, through the active contribution of each of the members, which can be evaluated in real time by the teacher. The general objective of the research was to determine the relationship between the use of Canva in collaborative learning in virtual environments with students from private universities in Lima. The study was of a basic or pure type, with a quantitative approach, correlational-causal level, transactional design and explanatory level. The sample was obtained by simple random probabilistic sampling and was made up of 217 participants; the technique applied was the survey, the instruments were two questionnaires validated by the judgment of four experts, with a Cronbach's Alpha (0.982 and 0.976), the Descriptive and inferential statistical analysis was performed using the IBM SPSS Statistics 25 program. According to the results obtained, they show that the variables studied have a positive and significant correlation, since 41.1% of the variability of collaborative learning depends on the use of Canva, in the same way, 37.4% of reciprocity, 33.6% of responsibility and 32.4% of affective and positive relationships depend on the use of Canva in students from private universities in Lima-Peru , which denotes the importance of this digital tool in the interaction of students to carry out collaborative work.
Evaluation of Physiological and Immunological Parameters in Men with Type 2 Diabetic Nephropathy
Authors: AL-Fatlawi Hawraa Yousif , Jwad Dr. Saher Mahmood
Published: May 2022

All men in the present research (15 healthy and 75 patients) have undergone clinical examination as well as other physiological and immunological tests, such as glycosylated hemoglobin test, hemoglobin level, platelets count, albumin to creatinine ratio (ACR), glomerular filtration rate (GFR), monocyte chemoattractant protein-1 (MCP-1 level), white blood cell count (WBC) and neutrophil to lymphocyte ratio (NLR). The results showed significant effect of (P<0.05) for the age groups and duration of diabetes mellitus on the hemoglobin level. However, there were no notable differences (P>0.05) in the glycosylated hemoglobin ratio and platelet counts when the age groups and duration of diabetes mellitus for men with type 2 diabetes are compared with each other. Moreover, the study revealed an observable impact of (P<0.05) for the albumin to creatinine ratio on the hemoglobin level and number of platelets in the blood. Yet, no significant differences (P>0.05) was noticed in the glycosylated hemoglobin ratio. For the other parameters, a significant effect of (P<0.05) was observed for the glomerular filtration rate on the glycosylated hemoglobin ratio, hemoglobin level and platelets count. In relation with the immunological criteria, a noticeable influence of (P<0.05) was shown for age groups, duration of diabetes mellitus, albumin to creatinine ratio and glomerular filtration rate on the MCP-1 level in the serum, and the neutrophils to lymphocytes ratio in patients with type 2 diabetes. However, no significant variations (P>0.05) were recorded in the number of white blood cells. The study aims to diagnose whether it is the possibility of using the physiological and immunological criteria under study to predict reaching the final stages of diabetic nephropathy in order to prevent renal failure.
Copper Doping Effect on Nanocrystalline Tin Oxide (SnO2) Thin Films for Gas Sensing Applications
Authors: Mahmoud Arshad Ahmed , J.F. Mohammad
Published: May 2022

In this work, Nanocrystalline SnO2 and copper doped SnO2 with (SnO2:Cu, Cu: 1%, 3%, 5%) was grown on glass substrates at (350 °C) via chemical pyrolysis method. The results of the structural properties using XRD analysis showed that The films have diffraction angles of different intensities and have a tetragonal crystal structure. The intensity decreases with an increased doping ratio. Atomic force microscopy showed that with increasing copper doping, the average grain size decreased. Transmittance of the prepared films is greater than 70% at 550 nm. The energy gap of the calculated tin oxide is 3.9 eV and decreases with increasing copper doping, while the absorption coefficient increases with increasing Cu ratio.
Generalized Pascal’s Triangle and its Properties
Authors: R. Dr. Sivaraman , J. Suganthi , P.N. Vijaykumar , R. Dr. Sengothai
Published: May 2022

Pascal Triangle named after French mathematician and Scientist Blaise Pascal contain rich source of mathematical properties. Ever since, Pascal provided its mathematical significance, several mathematicians and scientists had shown great interest in discovering new properties that can exist among numbers in Pascal’s Triangle. In this paper, we had generalized the Pascal’s Triangle in a novel way and had derived some interesting properties related to the generalized forms.
Deep Learning based Micro Organism Recognition and Disease Prediction on Plants and Animals
Authors: S. Kayalvizhi , J.K. Kasthuri Bha , K. Ferents Koni Jiavana
Published: May 2022

While deep learning has received a great deal of interest recently, it is still not utilized to its full potential in microbiology. To overcome the limitations of Microscopy that is operated by humans, the deep-learning-based methods of image analysis of these Microorganisms have been proposed for a variety of purposes, including bacteria, viruses, parasites, and fungi. Also, Deep-learning-based systems are expected to be at the forefront of detecting and investigating microorganisms. So, here we are proposing a deep learning model that can classify and detect the type of organism using a CNN-based transfer learning algorithm. A prediction of disease spread is also possible once an organism is detected. Through modernization, we came to know that micro-organisms were useful to plants and animals but at another side of the coin they are also harmful to them, so their study is vitally important but they haven’t gone to the next phase from testing under the microscope, so we proposed this model.
IoT based Optimal Liquid Metal Pipeline Damage Detection Using Hybrid Soft Computing Techniques
Authors: Sankarasubramanian Praveen , E.N. Dr. Ganesh
Published: May 2022

The pipeline plays an important role in transporting liquid metals over long distances. However, due to the harsh conditions on the construction site, the pipelines are always exposed to structural damage due to corrosion, damage, etc. These pipelines are often vulnerable to natural and third-party events such as explosions, earthquakes, explosions, drilling and vehicle traffic. Methods for monitoring liquid metal pipes include the use of continuous pipe assessments and pipe integration management systems. One of the biggest challenges faced by liquid metal pipeline system in the past has been the real-time monitoring of seamless pipes at certain locations. Previous studies of liquid metal pipeline monitoring have rarely focused on real-time wireless data transmission and data monitoring in the Internet of Things (IoT) operating system. In this paper, we propose an optimal liquid metal pipeline damage detection using IoT sensor platform and hybrid soft computing techniques. The proposed work consists of two fold systems such as data collection and data processing unit. In data collection unit, we utilize IoT sensors deployment with the multimedia sensors to gather liquid metal pipeline images which improve the detection accuracy. In data processing unit, we introduce a hybrid cat hunting based neural network (hybrid CHNN) to detect and localize the pipeline damages/cracks to avoid unwanted leakage and accidents. Finally, we evaluate the performance of our proposed hybrid CHNN detector with the different test samples and the simulation results are compared with the existing stateof- art pipeline damage detectors in terms of accuracy, precision, Recall and F-measure.
Brain Tumor Segmentation based on Red-Bellied Woodpecker Mating Optimization Algorithm
Authors: Anantharajan Shenbagarajan , Gunasekaran Shenbagalakshmi , Subramanian havasi
Published: May 2022

Earlier, many researchers proposed various segmentation algorithms to segment tumor from MRI Brain image. The method of a nature-inspired meta heuristic-based woodpecker characteristics approach is used to segment the tumored area of this proposed study. In this automated MRI brain tumor segmentation, the MRI brain image gets enhanced for improving the performance of the segmentation accompanied by the skull elimination phase to eliminate the morphological operations of all non-brain tissues. In the end, the RBWMOA (Red-Bellied Woodpecker Mating Optimization Algorithm) is suggested for the segmentation of tumor. An assessment of the experimental outcomes of the methodology suggested was focused on the coefficient of dice similarity, Hausdorff distance, Jaccard coefficient, Precision, Recall, Accuracy and F-measure. The experimental result of RBWMOA obtain better performance and shows0.845 Dice Similarity Coefficient, 7.231 Hausdorff distance in mm, 0.6981 Jaccard Coefficient, 95.67 % Precision, 94.72 % Recall, 98.29 % Accuracy and 95.19 % F-measure.
The Implementation of Social Entrepreneurship Concept at the Al-muhajirin Islamic Boarding School
Authors: Fuadah Evi Khadijah Luthfi
Published: May 2022

This research is motivated by the results of previous studies which formulated that Islamic Boarding School (Pesantren) that adopt the concept of social entrepreneurship will be able to survive in the future because they have a clear core business platform. They are not only playing a role in education, but are also able to contribute in the community economic empowerment. This research will be focused on a case study in Al-Muhajirin Islamic Boarding School in Purwakarta, West Java, Indonesia through using a descriptive-analytical method and qualitative approach. The sources of the data are obtained from various relevant literatures, observations, and interviews with the informants related to the implementation of the concept of social entrepreneurship empowerment based on Islamic values in Islamic Boarding School. The data collection techniques are obtained from book review, documentation, interview, and they are analyzed deductively and inductively. The result of this study indicates that the Al-Muhajirin Islamic Boarding School has succeeded in implementing the concept of social entrepreneurship in its management and governance, able to produce independent graduates, and also has contributed positively in improving the economic welfare of the surrounding community.
Chemical Analysis Study of Kidney Stones in Iraqi Community
Authors: Saleh IshraqAbdulrrazaq , Abdulkareem Ali Hazim , Abd Ziad Hamad
Published: May 2022

The urinary tract system is one of the most important system in human body to control many functions and get any wastes out of body, many diseases may affect this function and prevents it to work effectively. One of this disease is nephrolithiasis at which salt forming stone are settled in renal system affecting its work. The qualitative biochemical analysis of compositions of each stone was done for carbonate, calcium, magnesium, phosphate, oxalate, uric acid, and cysteine, using stone powder derived from the stones. These results found that Calcium oxalate stones were more likely to be detected in patients with upper urinary tract stones (p < 0.001). It was observed in 5.3% of cases which was apparently lower than previous data in nationwide urinary stone composition analysis. the most common type of stone was calcium oxalate (84.1%); others were calcium oxalate phosphate (8.0%), ammonia (3.4%), calcium uric acid (2.3%) and calcium carbonate (1.1%). A defect in ammonium excretion would account for the undue urinary acidity; then, increased urine acidity promotes uric acid super saturation. The amount of urinary oxalate excretion is a significant factor in the development of CaOx stones. Aim of study to know how to prevent stone recurrence and formation requiring better knowing mechanisms contributed in this stone formation.
A New Look at Brand Experience, Narcissism, and Materialism as Predictors of Online Shopping of Luxury Items in Thailand: A Neuromarketing Perspective
Authors: Somthawinpongsai Chanyanan , Hamid Abu Bakar Abdul , Bangbon Pensri , Raza Mohsin , Phongam Waraporn , Chanwichian Jeerabhan , Srisook Phoom
Published: May 2022

The purpose of the study is to measure the mediating relationship of online buying intentions between Narcissism, Materialism, and brand experience and their effect on luxury purchase behavior of luxury items by Phuket, Thailand customers. The study has used primary data collection techniques to gather data and used purposive sampling to analyze the data. The sample size pf the study is 250 respondents who prefers to buy luxury items. The research has used Smart PLS software to measure the relationship through bootstrapping and algorithms. The study has found significant positive mediation of online buying intentions between narcissism, materialism and brand experience and their effect on luxury purchase behavior of luxury items. This study suggests the theoretical and practical implications toward luxury purchase behavior in managerial, policy makers and researcher perspective. This study also discussed the future directions and limitations.
Impact of Entrepreneurial Branding, Entrepreneurial Norms, Entrepreneurial Ecosystem and Entrepreneurial Zhong Yong Thinking on Entrepreneurial Growth A Neuro Entrepreneurship Perspective
Authors: Chansongpol Thanyanant , Hamid Abu Bakar Abdul , Photchanachan Sarana , Raza Hassan , Silapapisan Sakda , junngam Boonpeng , Yaakub Noor Inayah
Published: May 2022

This study measures the role of vaccinated confidence between tourism revisit intention on entrepreneurial growth of entrepreneurs in Thailand. The tourism revisits intention has the mediating relationship between entrepreneurial branding, entrepreneurial norms, entrepreneurial ecosystem, entrepreneurial Zhongyong thinking, and entrepreneurial growth. The study has used primary data collection techniques to gather data and used purposive sampling to analyze the data. The sample size of the study is 300 entrepreneurs who visit Thailand during a pandemic, and it has affected their business growth. The study has found significant positive mediation of tourism revisit intention and moderation of vaccinated confidence of entrepreneurs. The research has used Smart PLS software to measure the relationship through bootstrapping and algorithms. All hypotheses are accepted and supported by the theory of protected motivation theory. It is found a significant positive relationship between them; t values are greater than 1.96 at significance level.
Simulation of 3D Flow Around the Rhizophora Mangrove Tree
Authors: Rahuman Sini , Ismail Mohamed , Varghese ShylaManavalan
Published: May 2022

There are many natural calamities that are occurring in the world such as Tsunamis, mudslides, cyclones, and typhoons. The villages near the coast are destroyed and many people are dying every year because of these calamities. This research work investigates how Mangroves can protect the area near by the coast and how it can reduce the velocity of the fluid. The computational fluid dynamics is a great tool that can perform numerical simulation and can investigate the issues with less cost but in very realistic approach. In this study water velocity is taken as a step function and unsteady k epsilon turbulence model is considered with pre-defined Mathematical model. A Three-dimensional mangrove tree is developed and simulation is performed in Ansys software using finite volume method. The velocity and pressure contour flow pattern are analyzed and the results reveal that the mangrove has the capacity to reduce the flow velocity & shear stress near the bottom. It protects the coast from all the natural disasters and can act as a breakwater model.
Applying Beliefs and Innovations Supportingthe Creative Tourism Policies in the COVID-19 Situation, Roi Kaen-Sarasin Region, Thailand
Authors: Jantharateerayanon Vorapon , Sittivongsa Boonpeng , Kenaphoom Sanya
Published: May 2022

Currently, the world is facing a lot of problems in the situation of Covid-19 that is spreading continuously in every country around the world. Thailand is among the most severely spreading covid-19 at present, which has severely affected the tourism sector of the country, which is the main source of income for the country to be used for domestic management and the well-being of the masses of the people of the country. Creative tourism is another way to generate income for all sectors and how creative tourism must apply beliefs and innovations to benefit tourists. Therefore, this research is intended; (1) To study the level of application of beliefs and innovations to support creative tourism policies in the situation of COVID-19. (2)To analyze the factors affecting the application of beliefs and innovations to support creative tourism policies in the situation of COVID-19. (3) to present guidelines for applying beliefs and innovations to support creative tourism policies in the situation of COVID-19, which was conducted in the area of Roi Kaen – Sarasin, Thailand. The research used a mixed research method with a sample of 400 people, and interviews with 40 people. Quantitative data using descriptive statistics and multiple regression analysis. Data from in-depth interviews using the content analysis method revealed that
Prediction of Software Bugs Using FCM Fused Artificial Neural Network Classifier
Authors: C. Anjali , Dhas Julia Punitha Malar , J. Amar Pratap Singh
Published: May 2022

The software engineering technique makes it possible to create high-quality software. One of the most significant qualities of good software is that it is bug-free. Bug detection and prevention aims to provide high-quality software that reduces the cost and time required to fix a defect, increases productivity, and allows for complete customer satisfaction. While it will be impossible to eradicate all flaws, it will be able to reduce the number of problems and their negative influence on software quality. This may be accomplished by putting in place a bug prediction mechanism that focuses on increasing software quality by lowering defect density. To extract usable information, soft computing approaches such as data mining and machine learning algorithms can be used. Soft computing approaches have been used to solve the problem of software bug prediction in a number of researches. The ability to predict necessary bugs considerably sooner in the development process is a major incentive for this study. The purpose is to stimulate people's interest in software quality testing and encourage them to employ fuzzy c means clustering (FCM), artificial neural network (ANN), and machine learning approaches to solve challenges in the field of software project success prediction. The FCM fused ANN used for bug prediction model in this study to predict software reliability. With an accuracy of 98.237percent, this research effort exhibits the usefulness and applicability of FCM fused ANN technology.
NON-REFOULMENT PRINCIPLE AND PROHIBITION OF ENTRY FOR REFUGEES DUE TO THE COVID-19 PANDEMIC
Authors: Priyono FX. Joko , Putri Audrey Kartika
Published: May 2022

The principle of non-refoulement has become jus cogens which obliges every country, both ratifying and not ratifying the 1951 Refugee Convention and the 1967 Protocol not to refuse refugees and asylum seekers to enter the territory of a country and not be returned to their country of origin because their lives will be threatened, persecuted. and tortured. The right to life is a right that cannot be reduced and must be protected and respected by everyone under any circumstances. The pandemic reason cannot be used as an excuse to refuse refugees and asylum seekers on the grounds of protecting the right to health for its citizens. Efforts to quarantine asylum seekers and refugees suspected of or affected by Covid-19/Omicron is a policy that is in accordance with human rights as well as according to the principle of non-refoulement.
THE LEGAL POLICY OF CITIZENSHIP IN FULFILLING THE RIGHTS OF STATELESS PERSONS AS AN EFFORT TO FULFILL HUMAN RIGHTS IN INDONESIA
Authors: Pinilih Sekar Anggun Gading , Sulistyawan Aditya Yuli , Cahyaningtyas Irma , Prabandari Adya Paramita
Published: May 2022

The issue of citizenship is one of the basic human needs, therefore citizenship status is a right for every citizen that is protected by law. The purpose of this study is to find out how the legal politics of Indonesia in the context of stateless person citizenship rights. This research is normative juridical research that uses a statute approach and a conceptual approach. Based on the results of the study, it was found that legal politics in the form of regulations regarding citizenship in Indonesia from time to time was sufficient to guarantee the rights of Indonesian citizens. However, the Indonesian Citizenship Law does not specifically regulate the stateless person. In addition, there is no policy regarding the granting of citizenship status to stateless persons, so many cases of stateless persons in Indonesia are detained by immigration authorities. Thus, the Indonesian government should emphasize its legal policy in order to optimize legal protection for stateless persons in Indonesia.
Effects of STEM-focused Arduino practical activities on problem-solving and entrepreneurship skills
Authors: Sari Ugur , Çelik Harun , Pektaş Hüseyin Miraç , Yalçın Selinay
Published: May 2022

In this study, the effects of science, technology, engineering and mathematics (STEM) focused Arduino practical activities on problem-solving and entrepreneurship skills were analysed using qualitative and quantitative methods. Also, the contribution of these activities to teacher candidates and their effects on the learning-teaching process were discussed by evaluating their views. The study group consisted of 31 final-year teacher candidates studying in the science teaching department of a university in Turkey. The quantitative findings reveal that STEM-focused Arduino practical activities have a positive effect on improving the problem-solving and entrepreneurship skills of teacher candidates. Their opinions also support these results. The teacher candidates stated that the practical activities contribute to their professional development, support the development of 21st-century skills such as problem-solving and creativity and positively affect the learning-teaching process. As a result, STEM-focused Arduino practical activities are of significance in terms of adopting an interdisciplinary approach to education following the requirements of the century and developing problem-solving, entrepreneurial and productive individuals.
Implications for practice or policy:

STEM educators should integrate Arduino into STEM education to increase STEM learning outcomes.
STEM educators should attach importance to STEM-focused Arduino activities to develop students’ reflective thinking and entrepreneurial skills.
Educators and researchers who want to use coding in STEM education may need to consider this article for example activities and implementation steps.
Carrying a passenger and relaxation before driving: Classification of young drivers’ physiological activation
Authors: Meteier Quentin , Capallera Marine , De Salis Emmanuel , Widmer Marino , Angelini Leonardo , Abou Khaled Omar , Mugellini Elena , Sonderegger Andreas
Published: May 2022

Drivers are often held responsible for road crashes. Previous research has shown that stressors such as carrying passengers in the vehicle can be a source of accidents for young drivers. To mitigate this problem, this study investigated whether the presence of a passenger behind the wheel can be predicted using machine learning, based on physiological signals. It also addresses the question whether relaxation before driving can positively influence the driver's state and help controlling the potential negative consequences of stressors. Sixty young participants completed a 10‐min driving simulator session, either alone or with a passenger. Before their driving session, participants spent 10 min relaxing or listening to an audiobook. Physiological signals were recorded throughout the experiment. Results show that drivers experience a higher increase in skin conductance when driving with a passenger, which can be predicted with 90%‐accuracy by a k‐nearest neighbors classifier. This might be a possible explanation for increased risk taking in this age group. Besides, the practice of relaxation can be predicted with 80% accuracy using a neural network. According to the statistical analysis, the potential beneficial effect of relaxation did not carry out on the driver's physiological state while driving, although machine learning techniques revealed that participants who exercised relaxation before driving could be recognized with 70% accuracy. Analysis of physiological characteristics after classification revealed several relevant physiological indicators associated with the presence of a passenger and relaxation.
Aerobic exercise training‐induced follistatin‐like 1 secretion in the skeletal muscle is related to arterial stiffness via arterial NO production in obese rats
Authors: Inoue Kenichiro , Fujie Shumpei , Horii Naoki , Yamazaki Henry , Uchida Masataka , Iemitsu Motoyuki
Published: May 2022

Follistatin‐like 1 (FSTL1), which is mainly secreted from skeletal muscle and myocardium, upregulates protein kinase B (Akt) and endothelial nitric oxide synthase (eNOS) phosphorylation in vascular endothelial cells. It is unclear whether skeletal muscle‐ and myocardium‐derived FSTL1 secretion induced by aerobic exercise training is involved in the reduction of arterial stiffness via arterial NO production in obese rats. This study aimed to clarify whether aerobic exercise training‐induced FSTL1 secretion in myocardium and skeletal muscle is associated with a reduction in arterial stiffness via arterial Akt‐eNOS signaling pathway in obese rats. Sixteen Otsuka Long‐Evans Tokushima Fatty (OLETF) obese rats were randomly divided into two groups: sedentary control (OLETF‐CON) and eight‐week aerobic exercise training (treadmill for 60min at 25m/min, 5days/week, OLETF‐AT). Eight Long‐Evans Tokushima Otsuka (LETO) rats were used as a healthy sedentary control group. In OLETF‐CON, serum FSTL1, arterial Akt and eNOS phosphorylation, and arterial nitrite/nitrate (NOx) levels were significantly lower, and carotid‐femoral pulse wave velocity (cfPWV) was significantly greater than those in LETO. These parameters were improved in the OLETF‐AT compared to the OLETF‐CON. In the OLETF‐AT, FSTL1 levels in slow‐twitch fiber‐rich soleus muscle were significantly greater than those in the OLETF‐CON, but not in myocardium, fast‐twitch fiber‐rich tibialis anterior muscle, and adipose tissue. Serum FSTL1 levels were positively correlated with soleus FSTL1, arterial eNOS phosphorylation, and NOx levels and negatively correlated with cfPWV. Thus, aerobic exercise training‐induced FSTL1 secretion in slow‐twitch fiber‐rich muscles may be associated with a reduction in arterial stiffness via arterial NO production in obese rats.
Cytotoxic activity of guaiane-type sesquiterpene lactone (deoxycynaropicrin) isolated from the leaves of Centaurothamnus maximus
Authors: Nasr Fahd A. , Siddiqui Nasir Ali , ElGamal Ali A. , Al-Massarani Shaza M. , Basudan Omer A. , Abdel-Mageed Wael M. , Alhuzani Mohammed R. , Alqahtani Ali S.
Published: May 2022

Guaianolide is a type of naturally occurring sesquiterpene lactone compounds that have attracted attention due to their diverse biological properties. In this work, a guaiane-type sesquiterpene lactone identified as deoxycynaropicrin (compound 1) was isolated and reported for the first time from the leaves of Centaurothamnus maximus with two known flavonoid derivatives namely luteolin 6-O-methyl ether (compound 2) and quercetin 3-methyl ether 5-O-glucopyranoside (compound 3). The cytotoxic activity of all the three compounds was evaluated against the THP-1 human leukemia cell lines. Moreover, flow cytometry was employed to explore the cell cycle arrest and apoptosis induction for the active compound. We found that compound 1 (deoxycynaropicrin) exerted the highest cytotoxicity while compounds 2 and 3 showed no activity. Cell cycle analysis showed that compound 1 arrested the cells’ population at the G2/M phase. Furthermore, THP-1 cells treated with compound 1 exhibited a marked increase in the apoptotic cells compared to the control. Overall, this study showed that deoxycynaropicrin induces cytotoxicity against human leukemia cell lines and provided an important insight into its potential therapeutic effects against leukemia cells.
Investigation on an anti-corrosion Cu-rich multiple-principal-element alloy strengthened and toughened by nano-scaled L12-type ordered particles
Authors: Jin Chengyan , Du Xinghao , Li Wanpeng , Chen Wenyu , Yan Fei , Shi Chuanxin , Chou Tzu-Hsiu , Chih-Ching Huang Jacob
Published: May 2022

In this study, the microstructure and mechanical properties of a Cu-rich multiple-principal-element alloy with the composition (Cu50Ni20Cr20Mn10)95Al5 (at.%) were investigated. It was found that after 900 °C/1 h annealing process, the as-cast alloy has achieved promising mechanical properties with a yield stress of 510 MPa, an ultimate tensile stress of 820 MPa and tensile elongation of 30 %. These properties are superior to those of traditional nickel–aluminum bronze (NAB) alloys. Moreover, the as-annealed alloy exhibited much better anti-corrosion properties with respect to the NBA alloys. Transmission electron microscopy observations showed that high-number-density nano-scaled L12-type ordered particles have precipitated in the Cu-rich phase after heat treatment and this was regarded as the main mechanism responsible for the enhancement of yield stress.
A unifying causal framework for analyzing dataset shift-stable learning algorithms
Authors: Subbaswamy Adarsh , Chen Bryant , Saria Suchi
Published: May 2022

Recent interest in the external validity of prediction models (i.e., the problem of different train and test distributions, known asdataset shift) has produced many methods for finding predictive distributions that are invariant to dataset shifts and can be used for prediction in new, unseen environments. However, these methods consider different types of shifts and have been developed under disparate frameworks, making it difficult to theoretically analyze how solutions differ with respect to stability and accuracy. Taking a causal graphical view, we use a flexible graphical representation to express various types of dataset shifts. Given a known graph of the data generating process, we show that all invariant distributions correspond to a causal hierarchy of graphical operators, which disable the edges in the graph that are responsible for the shifts. The hierarchy provides a common theoretical underpinning for understanding when and how stability to shifts can be achieved, and in what ways stable distributions can differ. We use it to establish conditions for minimax optimal performance across environments, and derive new algorithms that find optimal stable distributions. By using this new perspective, we empirically demonstrate that that there is a tradeoff between minimax and average performance.
Integrative analysis of chemical properties and functions of drugs for adverse drug reaction prediction based on multi-label deep neural network
Authors: Das Pranab , Yogita  , Pal Vipin
Published: May 2022

The prediction of adverse drug reactions (ADR) is an important step of drug discovery and design process. Different drug properties have been employed for ADR prediction but the prediction capability of drug properties and drug functions in integrated manner is yet to be explored. In the present work, a multi-label deep neural network and MLSMOTE based methodology has been proposed for ADR prediction. The proposed methodology has been applied on SMILES Strings data of drugs, 17 molecular descriptors data of drugs and drug functions data individually and in integrated manner for ADR prediction. The experimental results shows that the SMILES Strings + drug functions has outperformed other types of data with regards to ADR prediction capability.
Strategies for the prevention of maternal death from venous thromboembolism clinical recommendations based on current literature
Authors: Rath Werner H. , Stelzl Patrick
Published: May 2022

Venous thromboembolism (VTE) is one of the leading causes of direct maternal deaths. It has been estimated that approximately 50% of these deaths are potentially preventable. The UK Confidential Enquiries into Maternal Deaths and the National Partnership for Maternal Safety have proposed strategies for the prevention of maternal deaths from VTE based on current guideline recommendations.

The main strategies include:

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Early recognition and comprehensive assessment of risk factors for VTE at different times from the beginning of pregnancy until patient’s discharge from hospital.

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Appropriate risk stratification using standardized VTE risk assessment tools (e.g. the Royal College Scoring System).

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Risk–based antenatal and postnatal heparin thromboprophylaxis adjusting the heparin dosage and the duration of prophylaxis to the individual patient’s risk.

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Adequate management of heparin prophylaxis before and after delivery.

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Preference of universal rather than selective post-cesarean heparin thromboprophylaxis and application of perioperative mechanical prophylaxis.

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Avoidance of gaps in the postpartum prescription of heparin.

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Good communication and cooperation between primary and secondary care including community midwifery staff in the postpartum period.

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Immediate intravenous administration of (unfractionated) heparin, if pulmonary embolism is suspected.

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Critical analysis of all thromboembolic events, particularly in association with maternal death to learn from failures and to realize, if and where improvement is needed.

Adequate pharmacological thromboprophylaxis has the potential to reduce the risk of VTE by 60–70% in pregnant women at increased risk.
Langley’s Great Escape
Authors: Winkler David F.
Published: May 2022

The year 2022 will mark the centennial of the commissioning of the US Navy’s first aircraft carrier USS Langley. In late 1936, the ship was converted to become a seaplane tender and in 1939 is deployed to Manila. Following news reaching Admiral Hart and the Asiatic Fleet of the Japanese attack on Pearl Harbor, the arrival of Japanese bombers over Manila is imminent and the Langley is determined to be vulnerable to air attack. Departing Manila on December 9, Langley’s skipper Capt. Felix Stump served as the officer in tactical command of a convoy that also included the oilers Trinity and Pecos and is able to work his way through the archipelago, meeting up with the cruisers Houston and Boise which pick up the escort duties. Reaching Darwin before the end of the year, Stump turns over command to his executive officer Cdr. Robert McConnell to join the staff of the newly formed America British Dutch Australian combined command (ABDACOM) combined command under Vice Adm. William A. Glassford. Unfortunately, Langley will be lost on February 27, 1942, during a desperate attempt to transport Army P-40 pursuit planes to support Dutch efforts to defend Java.
Investigating the Properties of Folded Parchment – A Preliminary Study
Authors: Garside Paul , Dekeyser Camille
Published: May 2022

Parchment manuscripts form an important part of many historic collections. They are often found folded, with some displaying multiple fold patterns resulting from changing uses over their history. Parchment is a potentially fragile medium and folding can increase its susceptibility to damage, as well as hampering access and display. Treatment to address these issues may involve the relaxation of the folded structure, using humidification or a solvent such as propanol, and gentle pressing or stretching. However, this presents a dilemma – an inappropriately folded manuscript may be more prone to damage, but treatments require invasive interventions. This preliminary study has employed infrared spectroscopy and shrinkage temperature measurements to better understand the properties of folded parchment. It demonstrates that physicochemical changes can be detected at the fold and, to a lesser extent, in adjacent areas, compared to the bulk material, and that monitoring these changes allows the impact of different treatment methods to be assessed. This provides a basis for further research into the effect of both the original folding and of potential treatment methods, to inform conservation decisions and help ensure appropriate, effective, and sympathetic outcomes.
Review on optofluidic microreactors for photocatalysis
Authors: Wang Lei , Huang Ziyu , Yang Xiaohui , Rogée Lukas , Huang Xiaowen , Zhang Xuming , Lau Shu Ping
Published: May 2022

Four interrelated issues have been arising with the development of modern industry, namely environmental pollution, the energy crisis, the greenhouse effect and the global food crisis. Photocatalysis is one of the most promising methods to solve them in the future. To promote high photocatalytic reaction efficiency and utilize solar energy to its fullest, a well-designed photoreactor is vital. Photocatalytic optofluidic microreactors, a promising technology that brings the merits of microfluidics to photocatalysis, offer the advantages of a large surface-to-volume ratio, a short molecular diffusion length and high reaction efficiency, providing a potential method for mitigating the aforementioned crises in the future. Although various photocatalytic optofluidic microreactors have been reported, a comprehensive review of microreactors applied to these four fields is still lacking. In this paper, we review the typical design and development of photocatalytic microreactors in the fields of water purification, water splitting, CO2 fixation and coenzyme regeneration in the past few years. As the most promising tool for solar energy utilization, we believe that the increasing innovation of photocatalytic optofluidic microreactors will drive rapid development of related fields in the future.