bluuebunny/crossref_metadata_2025 huggingface dataset:
Medical Ethics: From the eyes of Undergraduate Medical students, a Study Conducted in Vadodara
Authors: Sefaliben Patel  , Reekee Patel  , Dushyant kumar Barot
Published: October 2022

Medical Practitioners are guided and guarded by Medical Ethics as it provides various Do’s and Don’ts forMedical Practitioners. Safe clinical practice is the universal motto as nowadays allegations are being increasedagainst doctors. Knowledge of Medical Ethics and proper execution of principle of ethics can safeguard the clinicalpractice of doctors and can save them from allegations as well as from negligence charges. So a cross sectionalobservational study is conducted to assess the knowledge regarding medical ethics amongst undergraduatestudents of a medical college vadodara. A study questionnaire was prepared containing basic questions pertainingto Medical Ethics and that was pretested over 50 medical under graduate students as pylot study and was modifiedby amendments of different answer options of questions asked for better outcome. The study reveal that studentsare well aware about medical ethics but still there are areas involving ethical dilemma and virtue ethics requireimprovement for which students are keen to learn medical ethics more. Students opine that learning of medicalethics can enhance the clinical practice skills, competencies and can lead to better future clinical practice as wellfor patient care.
Effect of COVID-19 on Psychological State of Elderly Patient at Jazan Community
Authors: Amira Refaat Said
Published: October 2022

Coronavirus disease 2019 (COVID-19) is a respiratory syndrome, amongst a larger family of ribonucleic acid(RNA) viruses, that has infected humans, causing unprecedented numbers of deaths and substantial psychologicaldistress across the globe.Aim: effect of COVID-19 On psychological state of elderly patient At Jazan. This research was applied on 125respondents selected from Jazan community. We used the electronic questionnaire to reach them. The studyfindings are, respondent gender from female gender, Saudi nationality, 53% a suspected injury, Confirmed injuryby 27%. The 56% of respondents psychological feeling after contracting the virus is supported by those aroundthem, and only 20% feel depressed. Else the finding indicate to the feeling of the respondent family and those aroundhim after he were infected with the virus is They feel psychologically supported by 41% and most of them receivethe necessary health care after they contract the virus. This study concluded that nearly one-fourth of the sampledgeneral population experienced moderate to severe psychological impact. Following specific precautionarymeasures appeared to have a protective effect on the individual’s mental health. The findings can be used toconstruct psychological interventions directed toward vulnerable populations and to implement public mentalhealth strategies in the early stages of the outbreak. This study recommended, Establish strategies to enhanceelderly patient of healthy lifestyle by applying this study on a large sample in various region and accessibility tomedical resources and the public health service system should be further strengthened and improved.
A RARE COMPLICATION OF THE OPERATED STOMACH DISEASE WITH THE FORMATION OF AN EXTERNAL GASTRIC FISTULA
Authors: Shaprynskyi V. O. , Suleimanova V. G. , Kryvetskiy V. F. , Slyvka V. P.
Published: October 2022

Summary. Stomach and duodenum ulcer occupies a leading place among the surgical diseases of the digestive organs (6–10 % of the population). Operated stomach diseases can be occurred in operated patients as a complication of resections (up to 35 % of cases), and often requires timely diagnosis and repeated invasive reconstructions of the gastrointestinal tract. The aim of the research is to present a clinical case of patient with an atypical course of the operated stomach disease and to highlight the main stages of the diagnostic and treatment algorithm.

Materials and methods. Analysis of medical publications for the last 5 years, devoted to the clinic, diagnosis and treatment of the operated stomach disease, and analysis of a clinical case of a patient with a rare complication of this pathology.

Results and discussion. The presented patient underwent Billroth II stomach resection for duodenum peptic ulcer in 2016. In 2021, a left chest wall fistula with suppuration appeared. According to the examination in the hospital (contrast fistulography followed by fibroesophagogastroscopy), the penetration of the stomach stump peptic ulcer into the left costal rib arch with the formation of an external gastric fistula was discover. The patient was operated on using «Laparotomy, stomach resection followed by end-to-end gastroenteroanastomosis reconstruction, Roux entero-enteroanastomosis» with simultaneous excision of the left costal rib arch fistula. In the postoperative period, the wounds healed per prima. The patient was discharged in satisfactory condition.

Conclusions. The presented case is a casuistic rare complication of the operated stomach disease. Contrast fistulography followed by fibroesophagogastroscopy is useful to establish the cause of the fistula, which is an indication for repeated reconstructive surgery on the stomach stump and gastroenteroanastomosis with excision of the rib arch fistula. To prevent this complication, we recommend scheduled fibroesophagogastroscopy once a year.
On the usage of the randomized quantile residuals for the link misspecification in logistic regression models
Authors:   The Korean Data Analysis Society, Yang Hojin , Lee Donghyuk
Published: October 2022

Logistic regression model is usually used when the response is Bernoulli or binomial to predict the probability of event of interest. Specifically, the logistic model is a generalized linear model(GLM) where the assumed link function is the inverse CDF of the logistic distribution. The link misspecification often occurs when the true link is not the logistic link function. In addition, residuals in the binomial GLM model are of less practical use for diagnostics because the response is not continuous. Randomized quantile residuals are an alternative option because they are defined to follow the standard normal distribution. In this study, we investigated the usage of the randomized quantile residual to diagnose the link misspecification. When the logistic regression is fitted to the data where the true data generating process is irrelevant to the logistic link function, we consider the normality test on the randomized quantile residuals from the misspecified logistic regression model and explore whether the link misspecification can be detected or not via extensive simulation studies. We have found that the randomized quantile residual is far from the normality especially when the fitted logistic link function fails to approximate the true link function so that their gap is big.
Improving the performance of text classification models using keyword extraction and data augmentation techniques
Authors:   The Korean Data Analysis Society, Lee Kangchul , Ahn Jeongyong
Published: October 2022

Topic modeling aims to identify and categorize topics latent in documents, and is useful for exploring core topics of each document and the characteristics of the topics. However, a problem with interpreting topics this technique is that common terms often appear near the top of multiple topics, making it hard to extract keywords identifying the topics. Another weakness is that this technique can lead to loss of information when synonyms are excluded from keywords, and high performance often depends on the size and quality of data. To improve these problems, we propose a method that utilizes relevance and word embedding techniques for extracting keywords. In addition, we use the EDA(easy data augmentation) techniques to increase the size of the data, and then apply the KoBERT model for boosting performance on text classification tasks. As a result of data analysis, it was possible to grasp the specific characteristics of the topics based on the discriminating keywords. The results also showed that using the augmented data sets, the text classifier model has higher accuracy than the original data sets with a score of 0.94 and 0.85, respectively.
Influencing factors of the injury characteristics on the NISS in early and later elderly: Using National Hospital Discharge In-depth Injury Survey
Authors:   The Korean Data Analysis Society, Lee Eunmi , Nam Younghee
Published: October 2022

The purpose of this study is to present policy proposals and health promotion programs for the prevention of traumatic diseases in the elderly by dividing the research subjects into early and late elderly. The data of this study were used in the 14th In-Depth Discharge Injury Survey in 2018. 7,993 patients aged 65 years or older were included among the total discharge injury patients. Data processing was analyzed with SPSS 23.0. As a result of the study, The incidence of injury was high in men(54.1%) of early elderly and in women(60.1%) of late elderly(p <.001). A large number of injuries occurred in the early elderly due to transport accidents while moving, and in the late elderly due to falls during daily life(p <.001). Early and late elderly had two metabolic syndrome factors at moderate injury(p <.001). In NISS, the most common symptoms were mild(51.1%) in the early elderly and moderate(65.3%) in the late elderly(p <.001). According to the NISS, in the early elderly, gender, route of admission, length of stay, metabolic syndrome disease, injury mechanism, place of injury and activity at injury were statistically significant(p <.001). In the later elderly, gender, route of admission, length of stay, type of insurance, metabolic syndrome disease, injury mechanism, place of injury, and activity at injury were statistically significant(p <.001). Therefore, the early and later elderly have different characteristics of injury according to the previous and later age groups, so customized prevention education and national policies and projects for the early and later elderly are required.
Analyzing the discourse of hatred and its relationship with policymaking process using topic modeling and logistic regression
Authors:   The Korean Data Analysis Society, Lee Jiin , Woo Byung-Deuk , Lee Mingu , Park Se-yoon
Published: October 2022

How the discourse of hatred in South Korea has changed and what is the effect of the discourse on the policymaking process? This article empirically examines the changes in the discourse of hared in South Korea from 2000 to 2021. Analyzing news big data based on the Latent Dirichlet Allocation(LDA) models, we found that the hatred related to politics has consistently received great attention. On the contrary, the salience of non-political hatred such as the hatred against LGBT, immigrants, men, and platforms fluctuates according to the occurrence of specific events. With the passage of time, new hatred topics including AI and COVID-19 emerge, but the existing types of hatred are observed even within the new themes. In addition, this article using logistic regression models demonstrates that there is a statistically and substantively significant relationship between the number of news articles concerning hatred against gender conflict and the probability of sponsoring bills about violence against women. Also, this article finds that male legislators compared to their female counterparts are more sensitive to the number of news articles about hatred.
Which minimally invasive therapy is most effective for the treatment of postherpetic neuralgia? An update meta-analysis
Authors:   Department of Anesthesiology, Peking Union Medical College Hospital, Peking Union Medical College, Wen Bei , Xu Li , Huang Yuguang
Published: October 2022

Review question / Objective: Which minimally invasive therapy is the best choice to alleviate pain for patients suffering from postherpetic neuralgia? Eligibility criteria: The eligibility criteria are interpreted under the PICOS (P, participants; I, interventions; C, comparison; O, outcomes; S, study design) framework. (1) P: ParticipantsInclusion criteria: Patients suffering from postherpetic neuralgia (the pain lasting more than 3 months after the onset of herpes zoster rash eruption or more than 1 month after the vesicles have healed).Exclusion criteria: 1. Patients who had other neuropathic pain; 2. Patients with acute or subacute zoster-related pain.(2) I: Interventions Inclusion criteria: Interventional treatments applied to PHN patients, as follows: 1) nerve block (including epidural block, intrathecal block, dorsal root ganglion block, intercostal nerve block, paravertebral block, erector spinae plane block);2) subcutaneous injection (including subcutaneous injection of normal saline, local anesthetics, corticosteroids, MeB12 as well as local infiltration);3) stellate ganglion block;4) subcutaneous botulinum toxin type A injection;5) pulsed radiofrequency with or without.
Application of bacterial optimization algorithms for selecting a site to construct a tank park on the main oil pipeline
Authors:   Branch of the National Research University “MPEI” in Smolensk, Bulygina Olga V. , Prokimnov Nikolay N. ,   Synergy University
Published: October 2022

The oil industry is the leading sector of the Russian economy, that makes the largest contribution to the country’s budget, creates a huge number of jobs and fully meets the domestic needs for oil and its products. In Russia, transportation of crude oil from fields to consumers (primarily refineries) is carried out by 5 modes of transport. Pipeline transport has received the greatest distribution. It provides transportation for 83% of crude oil and 30% of oil products. The most important element of the pipeline system is tank parks, which are used to collect and store oil at the junctions of technological pipeline sections and transshipment to other modes of transport. They are especially dangerous industrial objects. Therefore, they are subject to extremely stringent design and construction requirements. The most important stage in the construction of a tank park is the site selection, which is carried out on the basis of economic criteria and engineering requirements. In order to reduce the number of options for its location, where the survey party will travel, it is proposed to conduct a preliminary selection of the most promising territories by solving the task of multi-criteria optimization. The presence of a huge number of criteria leads to the need to use heuristic methods, among which swarm optimization algorithms based on modeling the collective behavior of various living organisms are widely used. To solve this problem, it is proposed to use bacterial optimization algorithms that allow taking into account both favorable and negative factors. Fuzzy logic elements can be added to the classical algorithm (it is proposed to set the initial positions of bacteria using fuzzy-logical inference systems, where the available statistics and expert assessments will be input parameters). In general, the proposed approach can be used to select sites for the construction of various hazardous industrial facilities, for which a large number of parameters must be taken into account.
Intelligent soft package for modeling the planning process of multi‑assortment industrial production
Authors:   Saint Petersburg State Institute of Technology (Technical University), Chistyakova Tamara B. , Shashikhina Olga E. ,   Saint Petersburg State Institute of Technology (Technical University)
Published: October 2022

The article discusses issues related to the development of a flexible intelligent software package for solving the problem of optimal planning of multi-assortment production. These industries are characterized by a large range of products, many types and configurations of equipment, with an increase in the dimension of the problem, the number of options for production schedules grows exponentially, therefore, it is extremely important to develop a specialized complex for effective optimal planning and scheduling, insisting on the characteristics of various multi-assortment industries. The purpose of this work is to increase the productivity of multi-assortment enterprises and reduce the time of production of products by developing methods and algorithms for optimizing scheduling in the form of a problem-oriented software package. The article presents a mathematical formulation of the optimization problem and a set of mathematical models and algorithms for the formation of objective functions for optimal scheduling of reconfigurable productions. Conducting this study is based on the use of methods of scheduling theory, optimization and evolutionary calculations, tools for object-oriented development of complex software systems and databases. The proposed software package has various intelligent user interfaces, supplemented by databases of products, equipment and technological regulations, a library of objective functions and mathematical optimization methods, an expert system tuning module, as well as an interactive system for visualizing the resulting production plans in the form of a Gantt chart and decision tree of the optimization problem. Testing of the software package was carried out on the data of polymer and metallurgical enterprises in Russia and Germany and confirmed the effectiveness of solving planning problems. Implementation of the proposed software package makes it possible to ensure efficient loading of enterprise equipment, reduce production costs and simplify the process of making managerial decisions in the course of production planning.
A method for classifying mixing devices using deep neural networks with an expanded receptive field
Authors:   Branch of the National Research University “MPEI” in Smolensk, Dli Maxim I. ,   Synergy University, Sinyavsky Yuri V. ,   Branch of the National Research University “MPEI” in Smolensk, Rysina Ekaterina I. ,   National Research University “MPEI”, Vasilkova Maria A. ,   Branch of the National Research University “MPEI” in Smolensk
Published: October 2022

The paper presents the results of research aimed at developing a method and software tools for identifying the class of a mixing device by its resistance coefficient through experimental data processing. Currently, the main methods for studying mixing devices are finite element methods, as well as procedures of estimating turbulent transfer parameters using laser dopplerometry and chemical methods of sample analysis. These methods require expensive equipment and provide results only for certain types of equipment. This makes it difficult to extend the inferences to a wider class of devices with different designs of mixing impellers. The proposed method involves processing the results of an experiment in which a point light source forming a beam directed vertically upwards is located at the bottom of a container filled with a transparent liquid. A mixing device with variable rotation frequency is placed in the container. When performing experiments in real conditions, small deviations in the size and location of the mixing device lead to difficult-to-predict fluctuations of the funnel surface. Therefore, the image of one marker describes a trajectory that is difficult to predict. It, under certain conditions, can intersect with the trajectories of other markers or be interrupted at the moment when the marker is closed by a stirrer blade passing over it. The resulting image of the markers is associated with a change in the rotational speed of the blade by a rather complex relationship. To identify this dependence, it is proposed to use deep neural networks operating in parallel in two channels. Each channel analyzes the video signal from the surface of the stirred liquid and the time sequence characterizing the change in the speed of rotation of the blades of the device. It is proposed to use neural networks of various architectures in the channels - a convolutional neural network in one channel and a recurrent one in another. The results of the operation of each data processing channel are aggregated according to the majority rule. The computational novelty of the proposed algorithm lies in the expansion of the receptive field for each of the networks due to the mutual conversion of images and time sequences. As a result, each of the networks is trained on a larger amount of data in order to identify hidden regularities. The effectiveness of the method is confirmed by testing it with the use of a software application developed in the MatLab environment.
Adaptive‑multi‑index‑cluster algorithm for comprehensive assessment of the impact of chemical pollution on forests using satellite photographs
Authors:   Mendeleev University of Chemical Technology of Russia, Meshalkin Valery P. ,   Russian Academy of Sciences,   Saint Petersburg State Institute of Technology (Technical University), Butusov Oleg B. ,   Mendeleev University of Chemical Technology of Russia; Russian Academy of Sciences, Chistyakova Tamara B. ,   Saint Petersburg State Institute of Technology (Technical University)
Published: October 2022

An original adaptive-index-clustering algorithm is proposed: “Managed vegetation index”. An original adaptive-multi-index-cluster algorithm for comprehensive assessment of the impact of chemical pollution on forests using satellite photographs is proposed, which is distinguished by the use of an adaptive procedure for the formation of pixel clusters displaying a plurality of spectral channels of a photographic image of each type of vegetation state of a forest stand in the zones of chemical pollution of forest tracts, as well as using the procedure for calculating the weighted average values of complex vegetation indices for each zone of chemical pollution, which allows, based on the values of complex vegetation indices, to determine various biological, phytological and physico-chemical states of forest areas.It should be noted that in order to solve the complex problem of constructing complex indices linked to ecological zones, it is proposed to use the simple idea of increasing the quality of modeling and forecasting by expanding the amount of information. The proposed problem can be solved using a statistical analysis of data on the distribution of pixels whose belonging to ecological zones is known in advance. The development of the algorithm is based on the following prerequisites: (1) using a linear combination of individual classical vegetation indices of the state of forest areas, it is possible to create a new specialized complex vegetation index that makes it possible to identify ecological zones in forest areas according to the levels of impact on forests of chemical pollution of industrial enterprises; (2) the possibility of using specialized complex vegetation indices in the form of weighted average linear combinations of classical vegetation indices. Specialized complex vegetation indices of adaptive selection of weight coefficients are capable of displaying various biological, physicochemical and ecological characteristics of the state of forests based on clustering of satellite image pixels. The proposed algorithm makes it possible to calculate, as a result of clustering, more accurate estimates of the total areas of ecological zones of forest tracts, which can be used as a basis for assessing the degree of ecological degradation of forest tracts and environmental damage.
Meningkatkan Kompetensi Guru Berbasis Canva dalam Membuat Bahan Ajar dengan In House Training (IHT) di SDN Randuacir 03
Authors: Tiara Widya Saputri Annisa
Published: October 2022

WHO (World Health Organization) telah mengumumkan virus corona (covid-19) sebagai pandemic pada tanggal 9 Maret 2020. Dalam dunia pendidikan, pengaruh virus corona ini mengharuskan para pendidik mengubah sistem pendidikan menjadi pembelajaran daring. Karena itu, proses pembelajaran harus tetap dilaksanakan meskipun harus dilaksanakan secara jarak jauh.  Kegiatan In House Training (IHT) betujuan untuk meningkatkan kompetensi guru khususnya dalam menyusun bahan ajar menggunakan platform Canva. Hasil yang sudah dicapai dalam pelaksanaan pelatihan penyusunan bahan ajar berbasis Canva bagi guru SDN Randuacir 03 dalam acara In House Training (IHT), sebagai berikut: 1) Meningkatnya pemahaman dan pengetahuan para guru SDN Randuacir 03 tentang penggunaan LMS Canva untuk membuat bahan ajar supaya lebih interaktif dan memudahkan siswa dalam menerima materi yang disampaikan oleh guru, 2) Kemampuan Bapak/Ibu guru SDN Randuacir 03 meningkat, dibuktikan dengan para guru membuat sendiri tugas yang diberikan selama pelatihan.
Estado actual, biología, epidemiología y manejo de Fusarium oxysporum f.sp. cubense Raza 4 Tropical
Authors: Ferrucho Rosa Lilia
Published: October 2022

La enfermedad denominada marchitamiento por Fusarium es una de las más destructivas de los cultivos de plátano y banano en el mundo. Fue inicialmente descrita por Bancroft en Australia (1876) y el hongo causante por Smith (1910). En 1935 Wollenweber y Reinking determinaron que era una variante dentro del hongo Fusarium oxysporum, denominada posteriormente como F. oxysporum f. sp. cubense y de la cual actualmente se conocen cuatro razas fisiológicas (R1, R2, R3 y R4). La R1 destruyó más de 80.000 ha del cultivar de banano Gros Michel en la década de 1950; este se reemplazó por variedades resistentes del subgrupo Cavendish ampliamente cultivadas en la actualidad. En la década de 1990 la resistencia de Cavendish fue vencida por una nueva variante denominada Raza 4 tropical (R4T) en Taiwán; de allí se ha diseminado poniendo en riesgo la producción mundial de plátano y banano. El 8 de agosto de 2019, el Instituto Colombiano Agropercuario (ICA) confirmó la presencia de la R4T en cultivos de banano en el departamento de La Guajira en Colombia, e inició el plan de contingencia que incluyó entre otras actividades, la erradicación de 168 ha de banano en el área de detección, restricciones al movimiento de material vegetal de musáceas en esta región y la vigilancia epidemiológica en el departamento y demás áreas productoras de plátano y banano en Colombia. Este seminario tiene por objetivo presentar algunas características de la biología del hongo y la epidemiología de la enfermedad que permitan entender los factores que determinan su ocurrencia y por qué representa un alto riesgo para la producción y la seguridad alimentaria mundial y nacional, incluyendo las zonas cafeteras de Colombia. Esta misma información se utilizó en un programa de capacitación para productores de plátano y banano de 25 departamentos en Colombia realizada por Cenicafé en convenio entre la FNC y el ICA en el año 2019.
Sistemas Agroforestales con Café (Diversidad de especies para sombrío)
Authors: Farfán-Valencia Francisco
Published: October 2022

Luego de ardua investigación se desmiente que la densidad de siembra para variedades de porte bajo no debe superar las 4.500 plantas/ha y para porte alto no debe superar 2.500 plantas/ha. La densidad de siembra la determinan cinco características: la longitud del período de crecimiento, la duración del ciclo de producción, la oferta ambiental (clima y suelos), la variedad y la arquitectura de las plantas. En el seminario son presentados resultados de investigaciones determinando que las densidades de siembras de café bajo sombra están entre 6.000 y 8.000 plantas/ha por lo tanto, al tener altas densidades también es necesario pensar en ciclos cortos de renovación. La decisión de renovar o no renovar el café la toma el caficultor, de acuerdo al estado de deterioro e improductividad del cultivo. En términos prácticos, la edad óptima de renovación de un cafetal de 10.000 plantas/ha debe ser a los cinco años (cuarta cosecha), con 5.000 plantas/ha debe ser a los seis años, y con bajas densidades (2.500 plantas/ha) debe ser a los siete años. Finalmente, son presentados los estudios de evaluación de equipos desde 1993 para el registro del porcentaje de cobertura desde la revisión de equipos complejos hacia la construcción de equipos prácticos e instrumentos para beneficio del caficultor (Plantilla visual de la sombra (PVS), Densiómetro Cúbico (DC), Densiómetro de Punto (DP)).
Productos químicos y agroquímicos. Gestiónelos en la finca cafetera, cuidando su salud y el medio ambiente
Authors: Quintero-Yepes Laura
Published: October 2022

En el seminario se presentan, de manera general, las etapas de identificación de peligros, manipulación, almacenamiento, transporte y disposición final de los productos químicos utilizados en las fincas cafeteras, con el fin de dar recomendaciones generales que permitan su adecuada gestión mitigando los impactos negativos a los recursos naturales y las afectaciones a la salud humana. En el seminario se hace énfasis en la definición del Sistema Globalmente Armonizado, los elementos que lo componen y las pautas para su adecuada implementación, de igual forma se presentan las acciones realizadas en Colombia para su aplicación y la normativa asociada. Respecto al etiquetado de los agroquímicos, se exponen los cambios condensados en el Manual Técnico Andino para el Registro y Control de Plaguicidas Químicos de Uso Agrícola. Se dan recomendaciones generales sobre la correcta manipulación, almacenamiento y transporte de: productos de aseo y desinfección, combustibles, y productos de uso agrícola. Finalmente, se aborda la disposición final de los residuos peligros generados en las fincas, las pautas para la gestión de los productos que pertenecen a los planes posconsumo y el tratamiento de las aguas contaminadas con agroquímicos, dando indicaciones generales para la construcción de Biocamas como una alternativa apropiada para el tratamiento de este tipo de aguas.
Arvenses de la zona cafetera de Colombia
Authors: Salazar-Gutiérrez Luis Fernando
Published: October 2022

La flora arvense es aquella que crece en forma espontánea en los sistemas productivos, esta es indispensable en los agroecosistemas y base fundamental de la sostenibilidad y la biodiversidad. Un aspecto clave para el manejo integral de las arvenses es su identificación y clasificación según el grado de interferencia con el cultivo; por lo anterior, en este Seminario Científico se presentan resultados de la actualización del reconocimiento de arvenses en plantaciones de café, en el que se obtuvo el registro de 265 especies de arvenses y se reconocieron 58 familias, donde las más predominantes fueron Poaceae (Gramineae) (15,1%), Asteraceae (Compositae) (14,7%), Cyperaceae (6,0%), Fabaceae (Leguminosae) (6,0%), Lamiaceae (Labiatae) (3,8%), Euphorbiaceae (3,0%), Rubiaceae (3,0%), Solanaceae (3,0%). En cuanto al grado de interferencia de las arvenses con el cultivo de café, se registró el 40% de interferencia media, 33,6% de interferencia alta, el 9,4% de interferencia baja y 17% clasificadas como arvenses nobles, estas últimas de gran importancia en la protección del suelo contra la erosión. Se registraron 45 especies de arvenses nobles distribuidas en 22 familias, principalmente: Commelinaceae (11%), Fabaceae (9%) y Urticaceae, Poaceae, Oxalidaceae, Euphorbiaceae, Asteraceae, Araliaceae cada una con 6,7%, respectivamente. A partir de esta actividad de investigación se elaboró una herramienta APP con las arvenses de mayor importancia en el cultivo del café para facilitar su reconocimiento en el campo.
Európai rendőrségek bemeneti követelményei a szervezeti és képzési jegyek tükrében: esettanulmány Skóciáról
Authors: Mogyoródi Gergely
Published: October 2022

Aim: The aim of this article is to provide an overview of the selection of the Scottish Police and to complete the previous publications related to the entry requirements of UK police forces.Methodology: The research was performed by elaborating the relevant literature.Findings: The research identified the major areas of the recruitment, the eligibility criteria and the entry requirements of Scottish Police. The article provides a detailed overview about the selection procedure of police in Scotland.Value: The article expands the knowledge of Hungarian literature related to police reinforcement, appropriate for comparative analysis and for further researches.
Post-COVID Teaching and Learning of Religious Education in the Context of School Violence in South Africa
Authors: Dube Bekithemba , Segalo Jacob
Published: October 2022

Informed by the Bricolage theory, the authors sought to interrogate the role of religious education in combating school violence in South Africa in the post-pandemic era. While COVID, in many arguments, has been seen as catastrophic to humankind, it has evoked a religious sense among people to enable them to confront vulnerability, which can be harnessed to mitigate school violence. Located in participatory action research, a qualitative approach was used to collect data from twelve participants within the Free State province, where purposive sampling was used. The authors responded to two questions: What are the instigators of school violence? How can religious studies mitigate school violence in South African schools? The paper found that while religious education is underplayed in the South African curriculum, it has an impetus to ignite morality among teachers and learners to address school violence. Based on the paper’s findings, the article argues that despite its shortfalls, religious education remains one of the pillars of enacting the missing ingredient of morality which has made schools unsafe havens for educational stakeholders. In light of this argument, the article recommends reconsidering religious education as a core subject in South Africa from a borderless curriculum angle.

Keywords: Bricolage, Religious Studies, School violence, Morality, COVID-19, Sustainable learning and borderless curriculum
The Implementation of School-Based Teacher Professional Development in a Selected South African Rural Context: A Need for Change to Deal with Crises
Authors: Nhlumayo Buhle Stella
Published: October 2022

This paper examines the dynamics experienced by teachers, school principals and the circuit manager in implementing school-based teacher professional development (SBTPD) in a selected South African rural context in dealing with crises such as COVID-19. Teachers, school principals and the circuit manager are not appropriately equipped to meet the challenges and needs of this developing country through the accurate implementation of school-based teacher professional development. The advent of COVID-19 has compounded such challenges, particularly in rural schools. Underpinned in the qualitative interpretive approach and using a multiple case study as a mode of inquiry, this paper employed four schools in one education circuit. It generated data through interviews with the circuit manager and each of the four school principals as well as focus group discussions with all teachers in each school. Data were analysed using thematic analysis. The findings revealed that the researched schools solely relied on the cascade model to implement SBTPD and that there was a lack of collaborative practices among teachers. Considering the findings, this paper suggests that schools initiate their school-based programmes designed to accommodate crises and that teachers, school principals and the circuit manager (CM) undergo capacity-building in appropriately implementing SBTPD, particularly during crises.

Keywords: School-Based Teacher Professional Development, Teacher Professional Development, COVID-19, Rural contexts, Dealing with situational crises
Search for Coincident Gravitational Waves and Long Gamma-Ray Bursts from 4-OGC and the Fermi-GBM/Swift-BAT Catalog
Authors: Wang 王 Yi-Fan 一帆 , Nitz Alexander H. , Capano Collin D. , Wang Xiangyu Ivy , Yang Yu-Han , Zhang Bin-Bin
Published: October 2022

The recent discovery of a kilonova associated with an apparent long-duration gamma-ray burst has challenged the typical classification that long gamma-ray bursts originate from the core collapse of massive stars and short gamma-ray bursts are from compact binary coalescence. The kilonova indicates a neutron star merger origin and suggests the viability of gravitational-wave and long gamma-ray burst multimessenger astronomy. Gravitational waves play a crucial role by providing independent information for the source properties. This work revisits the archival 2015–2020 LIGO/Virgo gravitational-wave candidates from the 4-OGC catalog that are consistent with a binary neutron star or neutron star–black hole merger and the long-duration gamma-ray bursts from the Fermi-GBM and Swift-BAT catalogs. We search for spatial and temporal coincidence with up to a 10 s time lag between gravitational-wave candidates and the onset of long-duration gamma-ray bursts. The most significant candidate association has only a false-alarm rate of once every 2 yr; given the LIGO/Virgo observational period, this is consistent with a null result. We report an exclusion distance for each search candidate for a fiducial gravitational-wave signal with conservative viewing angle assumptions.
Signs of Emissions of Alkali Metals Na i, Li i, and K i During First Minutes After DART Probe Crash on Dimorphos
Authors: L. I. Shestakova , A. V. Serebryanskiy , M. A. Krugov , G. K. Aimanova , Ch. T. Omarov
Published: October 2022

We present the results of the analysis of spectral observations taken a few minutes before, at the time, and in the first minutes after the impact of the DART probe on the asteroid Dimorphos. Our analysis showed signs of Na i, Li i, and K i alkali metal emissions appearing at the time of the impact and for several minutes after it.
The Effect of Methanol Concentration on the Extraction of Moringa Leaf (Moringa oleifera) and Papaya Fruit (Carica papaya) on Elastase and Hyaluronidase Installing Activities
Authors: Sugihartini Nining , Nur Mohamad Usman , Yuliani Sapto
Published: October 2022

Abstract
BACKGROUND OF THE STUDY: Β-carotene, flavonoids and phenolic compounds found in methanol extracts of Moringa leaves and papaya fruit have high antioxidant activity so that they can be used for antiaging. The concentration of solvent is a factor that will affect the levels of active ingredients in methanol extract. This study aims to determine the effect of the concentration of the methanol solvent derived from the extraction of Moringa leaves and papaya fruit on the inhibitory activity of the elastase and hyaluronidase enzymes.
AIM OF THE STUDY: Knowing the best extracts of methanol 50, 70, and 96% of Moringa leaf (Moringa oleifera) and papaya fruit (Carica papaya) as antiaging agents through inhibition of elastase and hyaluronidase enzymes.
METHODOLOGY: In this study variations in the concentration of methanol 50%, 70%, and 96% were used for the extraction of Moringa leaves and papaya fruit. The extract was obtained by maceration method which was then tested for the inhibition of the enzyme activity of elastase and hyaluronidase using ELISA (Enzyme-Linked Immunosorbent Assay).
RESULTS: The results of the elastase enzyme inhibitory activity test on Moringa leaf extract with 50%, 70%, and 96% methanol solvents IC50 respectively = 9453.38; 6604.70; 12346.44 μg / mL, while the yield of papaya extract 5995.31; 9046.25; 11571.54 μg / mL. In addition, the test results showed the inhibitory activity of the hyaluronidase enzyme showed that the Moringa leaf extract with 50%, 70%, and 96% solvents IC50 respectively = 2944.53; 1028,36; 3001.83 μg / mL, while the yield of methanol extract of papaya fruit is 982.67; 2982.96; 3530.18 μg / mL.
CONCLUSION: Based on the test results it can be concluded that the most effective solvent concentration as an inhibition of the enzyme elastase and hyaluronidase methanolic extract of Moringa leaves is 70% methanol solvent. While papaya fruit methanol extract which is effective in inhibiting the enzymes elastase and hyaluronidase is 50% methanol solvent.
Phylogenetic Tree 16S rRNA Gene of Acinetobacter soli Isolated from the Prepuce of Aceh Cattle
Authors: Admi Masda , Darmawi Darmawi , Ferasyi Teuku Reza , Dasrul Dasrul
Published: October 2022

BACKGROUND: In the pre-seed area of healthy Aceh cattle, it is possible to be contaminated with pathogenic bacteria that can interfere with the reproductive system. This study is needed to identify these pathogenic bacteria using a molecular approach, in an effort to prevent infection. AIM: The aim of the present study was to construct phylogenetic tree relationships of Acinetobacter soli identified in the preputial area of Aceh cattle by molecular analysis using 16S rRNA gene sequencing. MATERIALS AND METHODS: A total of 75 preputial specimens were obtained from Indrapuri’s Breeding and Forages Center of Aceh Cattles, Indrapuri district, Banda Aceh, Indonesia. The samples were processed for culture using standard conventional methods. The extraction of genomic DNA and the amplification of the 16S rRNA gene were assayed using polymerase chain reaction. A phylogenetic tree was constructed using distance matrices using the neighbor-joining model of the molecular evolutionary genetic analysis software 6.1 software. RESULTS: The results showed that of 75 preputial swab samples, 18 (24%) were positive for A. soli isolates. There was a 100% sequence similarity to A. soli prototype strain B1 and a 99% similarity to Acinetobacter parvus prototype strain LUH4616, Acinetobacter baylyi strain B2, A. venetianus strain ATCC 31012, as well as a 99% similarity to Acinetobacter baumannii strain DSM 30007, the strain ATCC 19606, and the strain JCM 6841, respectively. We concluded that A. soli-positive presentation in the preparation of Aceh cattle has 100% sequence similarity of 16S rRNA with A. soli strain B1. CONCLUSIONS: The conclusion of this study is that, based on the construction of a phylogenetic tree, it shows that 24% of the bacterial isolate is related to A. soli. It is essential to conduct a regular survey for bacterial contamination and to increase worker awareness and education about hygiene standards.
Mesenchymal Stem Cells for the Treatment of Acetic Acid-Induced Ulcerative Colitis in Rats
Authors: Omar Thoria Ahmed , Sweed Eman , Sweed Dina , Eledel Rawhia Hassan , Abou-Elela Dalia Hosny , Hikal Gehad
Published: October 2022

Background: Ulcerative colitis (UC) is an autoimmune inflammatory bowel disease, characterized by chronic and relapsing inflammation of the intestinal mucosa. Clinical treatments fail to reduce inflammation and induce side effects in nearly 30% of patients. Mesenchymal stem cells (MSCs) are immunomodulatory agents that can encourage tissue repair and regeneration.
Aim: To investigate the ability of MSCs to differentiate into enterocytes under the mediation of activin a, fibroblastic growth factor 2, and epidermal growth factors and to study the effect of administering MSCs to rats with acetic acid (AA)-induced UC.
Methods: MSCs isolated from the umbilical cord were induced to differentiate into enterocytes. The induced cells were morphologically evaluated by flow cytometry and immunocytochemistry. Forty rats were divided into four groups: control, AA-induced UC, differentiated, and undifferentiated MSC treated groups. The acute UC in rats was induced by 3% AA transrectal administration. Body weight changes, disease activity index (DAI), and histopathological and immunohistochemical CD105 and CD34 staining were recorded. IL-17, IL-10, and TGF- β levels were measured as well.
Results: In Both differentiated and undifferentiated MSCs, induced MSCs improved the DAI score and significantly recovered the pathological changes. The favorable effect of MSCs was significantly linked to CD105 overexpression and CD34 low expression. IL-10 and TGF-β levels increased while IL-17 levels decreased.
Conclusion: Both differentiated and undifferentiated MSCs showed anti-inflammatory and immunomodulatory effects in our study. Based on our results, MSCs could become potentially useful for regenerative medicine and the clinical treatment of UC.
Editorial
Authors: Gütl Christian
Published: October 2022

Dear Readers,

It gives me great pleasure to announce the eighth regular issue of 2022. In this issue, various topical aspects of computer science are covered by 18 authors from 5 countries in 5 articles. As always, I would like to thank all the authors for their sound research and the editorial board for their highly valuable review effort and suggestions for improvement. These contributions, together with the generous support of the consortium members, sustain the quality of our journal.

In an ongoing effort to further strengthen our journal, I would like to expand the editorial board: If you are a tenured associate professor or above with a strong publication record, you are welcome to apply to join our editorial board. We are also interested in receiving high-quality proposals for special issues on new topics and trends. Please consider yourself and encourage your colleagues to submit high-quality articles or special issue proposals for our journal.

In this regular issue, I am very pleased to introduce the following 5 accepted articles: Raoua Abdelkhalek, Imen Boukhris, and Zied Elouedi from Tunisia present their research on more trustworthy predictions based on the uncertain framework of belief function theory to support the representation, quantification and management of imperfect evidence. In a research collaboration between Jordan and the USA, Abd Al-Rahman Al-Nounou, Osama Al-Khaleel, Fadi Obeidat, and Mohammad Al-Khaleel present a methodology for designing binary multipliers, in which different sizes of customized partial products generation cells are designed and used as smaller building blocks. Venilton FalvoJr, Anderson da Silva Marcolino, Nemesio Freitas Duarte Filho, Edson OliveiraJr, and Ellen Francine Barbosa present the design, development and experimental evaluation of a software product line for mobile learning applications. Ghazala Hcini, Imen Jdey, and Hela Ltifi from Tunesia introduce their research on a new and robust deep learning model for automatically classifying malaria cells as infected or uninfected, built on a convolutional neural network. And last but not least, Sercan Yalçın, Musa Eşit, and Mehmet İshak Yüce from Turkiye discuss their approach to estimating climatological parameters based on artificial intelligence techniques with particle swarm optimization and deep neural networks.
Danxiaorchis mangdangshanensis (Orchidaceae, Epidendroideae), a new species from central Fujian Province based on morphological and genomic data
Authors: Zhang Miao , Zhang Xiao-Hui , Ge Chang-Li , Chen Bing-Hua
Published: October 2022

Danxiaorchis mangdangshanensis, a new mycoheterotrophic species from Fujian Province, China, is described and illustrated. The new species is morphologically similar to D. singchiana, but its callus of labellum is a less distinctive Y-shape with three auricles on the apex, four pollinia that are narrowly elliptic in shape and equal in size, and it lacks fine roots. The plastome of D. mangdangshanensis is highly degraded. Phylogenetic analyses distinguished D. mangdangshanensis from its congeners, D. singchiana and D. yangii, with strong support based on nrITS + matK and plastomes, respectively.
Hidden in the highs: Two new species of the enigmatic toadheaded pitvipers of the genus Bothrocophias
Authors: Angarita-Sierra Teddy , Cubides-Cubillos Sergio Daniel , Hurtado-Gómez Juan Pablo
Published: October 2022

Bothrocophias microphthalmus (Cope, 1875) currently comprises most mid- to highland populations of the genus Bothrocophias in the eastern versant of the Andes. We describe two new species of Bothrocophias from the highlands of the Colombian Andes previously referred to as B. microphthalmus based on morphological and genetic evidence. Our phylogenetic analysis revealed that B. micropthalmus as currently recognized is paraphyletic with respect to B. hyoprora, and the two new taxa are sister lineages. These new toadheaded pitvipers can be morphologically distinguished from their congeners based on the presence of contact between the internasal scales, the number of prefoveal scales, the presence of a lacunolabial scale, the arrangement of supralabial scales, ventral scale counts, the color pattern of the dorsal and ventral surfaces of the body and tail, and hemipenial morphology. We discuss some possible taxonomic scenarios for the lineages found within the B. microphthalmus species complex but refrain from making additional taxonomic changes given our reduced sampling of the southern lineages.