bluuebunny/crossref_metadata_2025 huggingface dataset:
Virtual Laboratory ChemСollective: Features, Benefits and Prospects of Using in Chemistry Practical Classes in Higher Education Establishments
Authors: Okrepka Halyna
Published: July 2022

The article examines the application of the virtual laboratory ChemCollective in the educational process of pharmacy student studying. The ChemCollective Virtual Lab is an online chemistry lab simulation that allows students to conduct experimental research according instruction and procedures, but also to design, invent and carry out their own home experiments. The Virtual Lab helps students to link chemical computations with authentic laboratory chemistry. The autograded labs create unknowns and provide feedback on students answers. The lab allows students to select from hundreds of standard reagents (aqueous) and manipulate them in a manner resembling a real lab. 

It is established that such virtual experimental works are interesting and useful for students. It is shown that the use of electronic instructions and procedures in Google Form for virtual laboratory work allows to get grades automatically, to set the time. These are too important during online studying. In addition, instructions in Google Form have the ability to attach photos, videos for illustration of processes, as well as providing of English vocabulary with Ukrainian translation to avoid language barrier. It is established that the effectiveness of the learning process increases because virtual laboratory is a simulator for skills training and independent preparation for laboratory research. It is shown that only a combination of virtual work with investigations in a real laboratory can develop skills for work with real equipments and cause rapid development of research competencies. The direction of further research is to study the resources of Royal Society of Chemistry, in particular the application of a multi-stage virtual screen experiment in chemistry practical classes for foreign students of higher education establishments.
The Usage of Augmented Reality Technology in the Educational Process of Higher Education Institutions
Authors: Tarangul Liubov , Romaniuk Svitlana
Published: July 2022

The development of additional reality (AR-technology) and its application in the educational process is considered. Definitions of AR technology are given, its advantages are given, as well as the limitations associated with its use in the educational process. An overview of platforms for creating AR-applications is given, their functional capabilities are considered, the expediency and efficiency of application in the educational process of free economic zones are assessed. Aspects of the use of augmented reality technology in the higher education system are considered. One of the most important features of augmented reality in terms of pedagogy is that it provides a space focused on the student and flexible for learning opportunities. The advantages and limitations of using this technology are given. The general scheme for creating augmented reality is always as follows: the camera of the AR device captures an image of a real object; the software (software) of the device identifies the received image, selects or calculates the corresponding image visual complement, combines the real image with its complement and outputs the final image to the visualization device. To work with AR, it is enough to use a smartphone or tablet and the appropriate software. There are the following main areas of augmented reality technology in the education system: support for research and experimental approach; checking the model for adequacy; modeling environments that combine the possibilities of teaching, learning, communication with game elements; acquisition of technological skills. AR-technology has the following potential pedagogical advantages: accessibility, involvement, cooperation, interactivity. Despite these benefits, there are certain factors that need to be considered when working with educational technologies using AR. Such factors include: lack of necessary teacher training; dependence on hardware (not all students may have smartphones that support AR applications); content mobility issues across all platforms and devices. Directions and examples of application of augmented reality technology in the educational environment are offered.
Pedagogical conditions for the formation of personal qualities of a healthy lifestyle of pupils and students
Authors: Rebryna Andriy , Rebryna Anatolii
Published: July 2022

The article deals with the issue of the development of qualities that have a positive effect on the formation of youths’ healthy lifestyles who study in institutions of general secondary and higher education.

The analysis of scientific publications on this problem is presented, and the interpretation of the definitions of a «healthy lifestyle» is specified. It is determined that a healthy lifestyle is a lifestyle based on the principles of morality, reasonable using one’s life potential, as well as practical actions aimed at preventing diseases, strengthening all body systems, and improving general well-being.

According to the analysis of scientific works, the pedagogical conditions for the formation of pupils and students’ healthy lifestyles are identified.

The author offers recommendations for the formation of healthy lifestyle skills, which can be developed by following the pedagogical conditions.
Professional Competence of the Head of the Club as a Component of Quality Out-of-school Education
Authors: Fliarkovska Olha , Chupryna Olga , Liashchenko Tetiana
Published: July 2022

The article substantiates the theoretical foundations of professional competence and defines the qualities that contribute to the pedagogical competence of the head of the club, emphasizing that the professional competence of an out-of-school teacher is a necessary and prerequisite for successful professional activity.

Attention is focused on the fact that the formation of creative initiative personality is inextricably linked with the problem of professional training of out-of-school teachers, his ability to organize the educational process according to fundamentally new non-standard innovative technologies.

The article states that an out-of-school teacher is an organizer of life activities for a competitor education who provides basic needs for creative self-realization and recognition. By activating personal resources, the head of the club creates favorable conditions for his creative development.

It is determined that an out-of-school teacher who strives for professional growth is a creative person with a high level of development of creative skills, reflection, constant self-improvement and skills of pedagogical activity.
Machine Learning Approach for Classifying Power Outage in Secondary Electric Distribution Network
Authors: Mgaya Stephan , Maziku Hellen
Published: July 2022

Power outage is the problem that hinders social and economic development especially for developing countries like Tanzania. Frequent power outages damage electric equipment, and negatively affect the industrial production process. Power outages cannot be completely eradicated due to uncontrolled cause like natural calamities but technical challenges can be managed and hence reducing power outages. The existing manual methods used to locate power outage like customer calls is inefficient and time consuming. On the other hand, modern method like the Advanced Metering Infrastructure (AMI) still faces a challenge in effectively classifying power line outage due to the nature of imbalanced datasets. Therefore, there is a need to develop a Machine Learning (ML) model to accurately classify power line outage. In this study, machine learning models are constructed from ensemble algorithms and tested using outage AMI data from 2012 to 2019 with 2 hours interval records. We propose the following ensemble-based machine learning approach to enhance classification; data sampling, algorithm weighting and finally ensembling. Results show that the Hybrid Stacking Ensemble Classifier (HSEC) model outperforms the others by accuracy of 0.981 G-mean, followed by Extra tree with accuracy of 0.964 G-mean. This model can be used in power line outage classification in any Secondary Electrical Distribution Network (SEDN). This study can be extended to locate power outage to household.
Implementation of Digital Transformation in the Technical Higher Education Institutions in Tanzania
Authors: Raphael Charles
Published: July 2022

Digital transformation has been prioritized recently in this era of fourth industrial revolution by various organizations for maintaining strong competitive advantage, especially in the fourth industrial revolution. The higher education institutions must likewise adopt and implement digital transformation to enrich their students with the knowledge, experience and the skills they need for a very different future. Technical higher education institutions are inevitable in the given transformation. However, very little is known regarding adoption of digital transformation in the given institutions. This study therefore examined the level of adoption of digital services in the technical higher education institutions in Tanzania. It determined the level of awareness of students on digital transformation, opportunity of students to experience digital technologies in teaching-learning process and determining satisfaction level of students on digital teaching-learning environment. This study applied quantitative approach through the cross-sectional survey design. The data were collected using questionnaire from 500 third year (2019/2020) students of two public technical higher education institutions (i.e., Dar es Salaam Institute of Technology and Arusha Technical College). The collected data were analysed using descriptive statistics and t-test. The results indicate that, students from those two institutions had different levels of awareness on digital transformation. Furthermore, the students from both institutions have low opportunity to experience digital technologies in teaching-learning process. Moreover, the students were partly satisfied on the digital teaching-learning environment in the surveyed institutions. The findings of this study advocate the public technical higher education institutions to fully adopt digital transformation for maximally harnessing the opportunities of fourth industrial revolution through their product students.
Digital Skills and Self-employment among Graduates of Technical Higher Education Institutions in Tanzania
Authors: Raphael Charles
Published: July 2022

Digital skills are the driving forces for innovative, inclusive and sustainable growth through innovations and digitalization which in turn stimulate job creation, alleviate poverty, reducing inequality, facilitating the delivery of goods and services. However, large number of graduates is shown to be weak in digital skills in the industry hence affect their employability including self-employment. Recently, the Technical Higher Education Institutions (THEIs) took some initiatives to instill the digital skills to their respective students. This study therefore assessed the level of competence of digital skills among graduates following the initiatives taken by the THEIs and their influence on self-employment. It specifically identified the digital skills and ranking the digital skills acquired by the graduates when in the THEIs. It likewise established relationship between digital skills and self-employment among the graduates. The data were collected using a questionnaire from 500 graduates sampled through a stratified random sampling technique. The collected data were analyzed using Descriptive Statistics and Chi-square. The findings show that, the surveyed graduates acquired basic digital skills (i.e. creating professional online profiles, word processing, using keyboards and touch-screens, managing privacy settings, emails) to the large extent (53%); intermediate digital skills (i.e. desktop publishing, digital graphic design, digital marketing) to the small extent (52%) and advanced digital skills (i.e. big data, artificial intelligence, digital entrepreneurship, cybersecurity, internet of things, virtual reality) to the very small extent (54%) when in the college/university. Furthermore, intermediate and advanced digital skills were ranked higher as digital skills for self-employment by the graduates. All three digital skills were found positive and significant for self-employment among the graduates in Tanzania. The study recommends that, the colleges, institutes and universities should emphatically inculcate all the digital skills to the students as they are both significant for self-employment of their respective graduates.
Denoising Node Embeddings
Authors: Chen Dehua , Pimentel Tiago , Veloso Adriano , Ziviani Nivio
Published: July 2022

Node embedding (NE) algorithms capture features of graph’s nodes and represent them in a low dimensional vector space. Graphs are inherently noisy structures, which might reduce the learned representations quality. We propose a novel approach using denoising autoencoders to reduce noise in the learned representation of nodes. Experiments with three state-of-the-art NE algorithms show that our approach effectively reduces noise in a link prediction task.
Generating Videos by Traversing Image Manifolds Learned by GANs
Authors: Albuquerque Isabela , Monteiro Joao , Falk Tiago
Published: July 2022

In this work, we introduce a two-step framework for generative modeling of temporal data. Specifically, the generative adversarial networks (GANs) setting is employed to generate synthetic scenes of moving objects. To do so, we propose a two-step training scheme within which: a generator of static frames is trained first. Afterwards, a recurrent model is trained with the goal of providing a sequence of inputs to the previously trained frames generator, thus yielding scenes which look natural. The adversarial setting is employed in both training steps. However, with the aim of avoiding known training instabilities in GANs, a multiple discriminator approach is used to train both models. Results in the studied video dataset indicate that, by employing such an approach, the recurrent part is able to learn how to coherently navigate the image manifold induced by the frames generator, thus yielding more natural-looking scenes.
Time Series Segmentation through Automatic Feature Learning
Authors: Ortiz Jorge
Published: July 2022

Traditional changepoint detection methods look for boundaries that are defined as abrupt variations in the generative parameters of a data sequence. However, we observe that breakpoints – human-specified boundaries – occur on more subtle boundaries that are non-trivial to detect with these statistical methods. In this work, we propose a new semi-supervised approach, based on deep learning, that outperforms existing techniques and learns the more subtle breakpoint boundaries with a high accuracy. Through extensive experiments on various real world data sets – including human-activity sensing data, speech signals, and electroencephalogram (EEG) activity traces – we demonstrate the effectiveness of our algorithm for practical applications. Furthermore, we show that our approach achieves significantly better performance than previous methods.
Finding Evidence Of The Sexual Predators Behavior
Authors: Lopez Angeles
Published: July 2022

Sexual predator identification is a critical problem given that the majority of cases of sexually assaulted children have agreed voluntarily to meet with their abuser [10]. Traditionally, a term that is used to describe malicious actions with a potential aim of sexual exploitation or emotional connection with a child is referred to as “Child Grooming” or “Grooming Attack” [6]. This attack is defined by [4] as “a communication process by which a perpetrator applies affinity seeking strategies, while simultaneously engaging in sexual desensitization and information acquisition about targeted victims in order to develop relationships that result in need fulfillment” (e.g. physical sexual molestation). Clearly, the detection of a malicious predatory behavior against a child could reduce the number of abused children.
Generation of time response of linear and nonlinear dynamic systems using autoencoders
Authors: Paniagua Jose
Published: July 2022

In this work, a deep autoencoder is used to generate the time response of linear and nonlinear dynamic systems. First, the encoder part of the autoencoder is used to perform a compact representation of the time response of dynamic systems. Second, the decoder part of the autoencoder is used to reconstruct or generate the time response of dynamic systems from the latent space. Experiments are performed to determine the capability of the architecture and the training algorithm proposed for dimensionality reduction, reconstruction, and generation. Finally, the architecture is validated with some examples of linear and nonlinear systems.
Energy Optimization of Wireless Sensor Network Using Neuro-Fuzzy Algorithms
Authors: Ali Adem Mohammed
Published: July 2022

Wireless sensor network (WSN) is one of the recent technologies in communication and engineering world to assist various civilian and military applications. They are deployed remotely in sever environment which doesn’t have an infrastructure. Energy is a limited resource that needs efficient management to work without any failure. Energy efficient clustering of WSN is the ultimate mechanism to conserve energy for longtime. The major objective of this research is to efficiently consume energy based on the Neuro-Fuzzy approach particularly adaptive Neuro fuzzy inference system (ANFIS). The significance of this study is to examine the challenges of energy efficient algorithms and the network lifetime on WSN so that they can assist several applications. Clustering is one of the hierarchical based routing protocols, which manage the communication between sensor nodes and sink via Cluster Head (CH), CH is responsible to send and receive information from multiple sensor nodes and multiple base stations (BS). There are various algorithms that can efficiently select appropriate CH and localize the membership of cluster with fuzzy logic classification parameters to minimize periodic clustering which consumes more energy and we have applied neural network learning algorithm to learn various patterns based on the fuzzy rules and measured how much energy has saved from random clustering. Finally, we have compared to our Neuro-Fuzzy logic and consequently demonstrated that our Neuro-Fuzzy model outperforms than random model.
On the Impact of Gender Bias in Medical Imaging Classifiers for Computer-aided Diagnosis
Authors: Nieto Nicolas
Published: July 2022

Artificial intelligence (AI) systems for computer-aided diagnosis and image-based screening are being adopted worldwide by medical institutions. In such a context, generating fair and unbiased classifiers becomes of paramount importance. The research community of medical image computing is making great efforts in developing more accurate algorithms to assist medical doctors in the difficult task of disease diagnosis. However, little attention is paid to the way databases are collected and how this may influence the performance of AI systems. Our study sheds light on the importance of gender balance in medical imaging datasets used to train AI systems for computer-assisted diagnosis. We provide empirical evidence supported by a large-scale study, based on three deep neural network architectures and two well-known publicly available X-ray image datasets used to diagnose various thoracic diseases under different gender imbalance conditions. We found a consistent decrease in performance for underrepresented genders when a minimum balance is not fulfilled. This raises the alarm for national agencies in charge of regulating and approving computer-assisted diagnosis systems, which should include explicit gender balance and diversity recommendations. We also establish an open problem for the academic medical image computing community which needs to be addressed by novel algorithms endowed with robustness to gender imbalance.
A Machine Learning approach to Neural Information Decoding of Spike Train Distances in the Peripheral Nervous System
Authors: Nolasco Jauregui Oralia
Published: July 2022

Decoding the neural signal has proved to be an elusive goal. We explore the use of sequence analysis algorithms to identify repeating patterns of spike train distances and found that they could be associated to the stimulus in the rat peripheral system with good results. The use of these algorithms is very common in genomics and proteomics for genetic sequence analysis but rarely applied to neural systems analysis. We are convinced that with proper tuning they could yield useful results.
Model car architecture for education in Robotics and Deep Neural Networks
Authors: Carrillo Ricardo
Published: July 2022

Autonomous driving is a challenging task in which Artificial Intelligence techniques can be success fully applied. This paper describes a robotic platform and its neural network software capable of addressing this problem. AutoMiny is an autonomous model vehicle (scale 1:10) developed at Freie Universität Berlin for educational and research purposes. The vehicle’s architecture supports the development of Advanced Driver Assistance Systems (ADAS) based on Deep Neural Networks using a stereo camera and a Virtual Force Field (VFF) path planner during the learning process.
Using a self-supervised encoder for anticipating failures in industrial equipment
Authors: Buades Daniel
Published: July 2022

Failures in industrial systems entail safety risks and production losses. However, with the right choice of technique, they can be forecasted. This is possible because certain measurable variables that are present in the system, respond differently to operation conditions when a failure is nearing. The objective of this work is to calculate the expected response that such variables would have in a healthy system. It will then be possible to compare them with the real time measures, in order to diagnose if there is a problem with the system. If there is a divergence between the two of them, a fault is signaled. The type of fault diagnosed depends on the shape of the divergence, following a set of rules proposed by human experts. It has to be considered that, for the same operation conditions, each system has a different response that is induced by disparities in manufacturing, installation procedures and other factors that can’t be directly quantified. In addition, even for a single system, its response varies over time due to its degradation, which can’t usually be measured by using non-invasive techniques.
Feature Selection Algorithm Recommendation for Gene Expression data with Meta Learning
Authors: Aduviri Robert
Published: July 2022

Feature selection is an important step in gene expression data analysis. However, many feature selection methods exist and a costly experimentation is usually needed to determine the most suitable one for a given problem. This paper presents the application of gradient boosting and neural network techniques for the construction of meta-models that can recommend rankings of {feature selection - classification} algorithm pairs for new gene expression classification problems through the usage of learning-to-rank and collaborative filtering approaches. Results in a corpus of 60 public datasets show the superiority of these techniques in producing more useful rankings in relation to classical meta-models
Segmentation of skin lesions and their attributes using Generative Adversarial Networks
Authors: Lazo Cristian
Published: July 2022

This work is about the semantic segmentation of skin lesion boundary and their attributes using Image-to-Image Translation with Conditional Adversarial Nets. Melanoma is a type of skin cancer that can be cured if detected in time and the process of segmentation into dermoscopic images is an essential procedure for computer-assisted diagnosis due to its existing artifacts typical of skin images. To alleviate the image annotation process, we propose to use a modificated Pix2Pix network. The discriminator network learns the mapping from a dermal image as an input and a mask image of six channels as an output. Likewise, the output of the discriminative network called PatchGAN is varied for one channel and six output channels. The images used come from the 2018 ISIC Challenge where 500 images are used with their respective semantic map, divided into 75% for training and 35% for testing. Obtaining for 100 training epochs high jaccard indices for all attributes of the segmentation map.
Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real World
Authors: Bassani Hansenclever
Published: July 2022

This work presents an application of Reinforcement Learning (RL) for the complete control of real soccer robots of the IEEE Very Small Size Soccer (VSSS), a traditional league in the Latin American Robotics Competition (LARC). In the VSSS league, two teams of three small robots play against each other. We propose a simulated environment in which continuous or discrete control policies can be trained, and a Sim-to-Real method to allow using the obtained policies to control a robot in the real world. The results show that the learned policies display a broad repertoire of behaviors that are difficult to specify by hand. This approach, called VSSS-RL, was able to beat the human-designed policy for the striker of the team ranked 3rd place in the 2018 LARC, in 1-vs-1 matches.
Democratização do ensino e educação de jovens e adultos em uma escola "multiclasses": possibilidades de enfrentamento da pobreza e da desigualdade social
Authors: Quadros Denise Pinheiro , Simões Renata Duarte
Published: July 2022

Este livro é fruto de uma pesquisa que analisa o processo de democratização do ensino na EMEF EJA Professor Admardo Serafim de Oliveira, localizada em Vitória-ES, em seus diferentes contextos de consolidação, buscando compreender como a escola multiclasses tem atuado no enfrentamento da condição de pobreza e de desigualdade social em que vivem os estudantes desse segmento. A obra evidencia a relevância do princípio constitucional de democratização do ensino na interface com a pobreza, no sentido de transformação social e econômica.
Okullardaki Dağıtımcı Liderlik İle Örgütsel Mutluluk Arasındaki İlişki
Authors: SEVİM Halil İbrahim , KAYA Ahmet
Published: July 2022

Bu araştırmada okullardaki dağıtımcı liderlik ile örgütsel mutluluk arasındaki ilişkiyi belirlemek amaçlanmıştır. Araştırma ilişkisel tarama modelinde desenlenmiştir. Araştırmanın evrenini; 2020-2021 eğitim-öğretim yılında Adıyaman ili merkez ilçesinde bulunan devlete ait ilkokul, ortaokul ve liselerde görev yapan 4.445 öğretmen oluşturmaktadır. Örneklem ise seçkisiz örnekleme yöntemlerinden tabakalı örnekleme yöntemi kullanılarak oluşturulmuş olan 677 öğretmenden oluşmaktadır. Araştırma verilerinin toplanması amacıyla “Dağıtılmış Liderlik Ölçeği”, “Örgütsel Mutluluk Ölçeği” ve araştırmacı tarafından geliştirilen “Kişisel Bilgi Formu” kullanılmıştır. Araştırmada istatiksel işlemler SPSS 15.0 programı kullanılarak yapılmıştır.

Araştırma sonucuna göre; okul yöneticilerinin dağıtımcı liderlik özellikleri gösterme düzeyleri ile okullardaki örgütsel mutluluk düzeylerine ilişkin öğretmen algıları “yüksek” düzeydedir. Okul yöneticilerinin dağıtımcı liderlik özellikleri göstermeleri hakkındaki öğretmen algıları cinsiyet, medeni durum, yaş, branş ve okul türü değişkenlerine göre anlamlı farklılık göstermemektedir. Öğretmenlerin okullardaki örgütsel mutluluk algıları cinsiyet, medeni durum, branş ve okul türü değişkenlerine göre anlamlı farklılık gösterirken; yaş değişkenine göre anlamlı farklılık göstermemektedir. Araştırmada okullardaki örgütsel mutluluk ile dağıtımcı liderliğin alt boyutları arasında “pozitif yönde orta düzeyde” anlamlı bir ilişki olduğu ortaya çıkmıştır. Okul yöneticilerinin dağıtımcı liderlik özellikleri göstermeleri, okulun örgütsel mutluluğundaki toplam varyansın yaklaşık %68’ini açıklamaktadır.
Örgütlerde Toksik Liderlik Davranışı: Betimsel İçerik Analizi
Authors: AKBULUT Duygu , YAVUZ Ercan
Published: July 2022

Liderlik davranışı bilimsel araştırmalarda önem arz eden ve üzerine yoğunlaşılan kavramlardan biridir. Buna bağlı olarak da liderlik ile ilgili çok sayıda bilimsel çalışma yayımlanmıştır. Liderlik ile ilgili yapılan çalışmaların geneli başarılı liderlikle ilişkili spesifik özellikleri, davranışları ve tarzları keşfetmeye odaklanırken, çok az çalışma işlevsiz, olarak adlandırılan toksik liderliğin doğasını ve sonuçlarını doğrudan anlamaya çalışmıştır. Bu nedenle çalışmanın amacı, toksik liderlik ile ilgili literatürde yer alan çalışmaları incelemektir. Çalışmanın araştırma yöntemi olarak betimsel içerik analizi yöntemi kullanılmıştır. Bu amaçla 2003-2020 yılları arasında araştırılan ve ulaşılabilen makale ve tez çalışmaları incelenmiştir. İlgili yıllar arasında toplamda 80 çalışmaya ulaşılmıştır. Literatürde yer alan ve elde edilen bu çalışmaların içerikleri incelenmiş ve analiz edilerek yorumlanmıştır. Araştırma sonucunda toksik liderliğin eğitim, tekstil, turizm ve sağlık örgütlerinde bulunduğu görülmektedir. Bunun yanında araştırma sonucunda, toksik liderliğin tükenmişlik düzeyi, örgütsel sinizm, örgütsel sessizlik, örgütsel güven, psikolojik sermaye vb. kavramları etkilediği görülmüştür. Ayrıca toksik davranışların daha çok örgütsel bağlılık üzerinde etkili olduğu sonucuna ulaşılmıştır.
Rural Education and Online Teaching in Wrestling with the Covid-19 Pandemic
Authors: Abigail Dan-mallam Yakubu , Esechie Godswill Ejeohiolei , Ishak Siti Zanariah Ahmad
Published: July 2022

Education is wise, hopeful, and respectful cultivation of learning and change are undertaken in the belief that we all shall have the chance to share in life. Education is necessary for each and everyone in order to improve knowledge, way of living as well as social and economic status in life. It also plays a fundamental role in our career growth as well as in personal growth. However, despite the fact that education is important for human development, rural education receives less attention from the government in its reform agenda. This may be because the education Ministry is usually located in urban areas. This lack of attention from the government has produced several setbacks to the development of rural education, starting from poor infrastructures, lack of qualified teachers to inadequate laboratories and libraries. Based on these problems, it can be said that rural students may not be able to compete with their counterparts in urban schools.
Methicillin resistant Staphylococcus aureus necrotizing pneumonia and ceftaroline fosamil: An alternative regimen
Authors: Lopez-Rivera Fermin , Gonzalez Monroig Hernan , Eggert James , Cintron Colon Hector , Castellanos Díaz Jessica , Méndez Meléndez Omar , Abreu Fernando
Published: July 2022

Introduction: Pneumonia is defined as an infection of the parenchyma of the lung and is one of the most common causes of death from infectious diseases in the United States (US). Pneumonia is classified into two groups; community acquired pneumonia (CAP) and hospital acquired pneumonia (HAP). Most CAPs are secondary to bacterial pathogens. Methicillin resistant Staphylococcus aureus (MRSA) is identified as a potential pathogen in 8.9% of CAP cases. Community acquired methicillin resistant Staphylococcus aureus (CA-MRSA) produces a cytotoxin called Panton–Valentine leukocidin (PVL), which causes white blood cell destruction and necrosis, resulting in necrotizing pneumonia when it reaches the lungs. Vancomycin and linezolid are most common recommended antibiotics when treating MRSA necrotizing pneumonia. Ceftaroline fosamil, a fifth-generation cephalosporin, is approved for the treatment of skin and soft tissue infection caused by MRSA and pneumonia, but it has not been approved for MRSA pneumonia.
Case Report: A 72-year-old Hispanic male presented with a medical history of hypertension, diabetes mellitus type 2, chronic kidney disease stage 3B, unspecified chronic thrombocytopenia and asthma developed an upper respiratory tract infection that manifested with fever and rhinorrhea and resolved without treatment. Ten days later, the patient arrived at the emergency room due to productive cough of rust colored sputum that started three days before admission. Associated symptoms included malaise, fever, chills and shortness of breath. The patient was admitted to medicine ward with diagnosis of CAP and was initially managed with azithromycin/ceftriaxone. However, persistent fever and tachypnea resulted in the need for reassessment. Sputum culture revealed MRSA and the patient was switched to ceftaroline fosamil for a 21-day course of treatment. Patient was discharged home and has been followed at the outpatient clinic with none of the aforementioned symptoms.
Conclusion: Methicillin resistant Staphylococcus aureus necrotizing pneumonia is an uncommon cause of CAP, but its incidence has increased during the recent years. This type of CAP has gained notoriety due to the PVL cytotoxin, with its dire results. Vancomycin and linezolid are the most recommended antibiotics; vancomycin is recommended if the bacteria show a minimum inhibitory concentration (MIC) < 2. In this case, the S. aureus recovered at sputum culture showed a MIC >2 and since the patient presented with several additional comorbidities management was started with ceftaroline fosamil, a fifth-generation cephalosporin that has no hepatic adjustment and has no problem in thrombocytopenic patients. The ceftaroline fosamil was administered at 400 mg intravenously every 12 hours for 21 days. The patient improved clinically and was discharged home and followed the next week then monthly for two months.
Dynamics of language in social emergency: investigating COVID-19 hot words on Weibo
Authors: Zhou Yikai , Li Rui , Chen Guangfeng , Liu Haitao
Published: July 2022

Drawing on word embeddings techniques and tracking the frequency and semantic change of hot words on Sina Weibo during the COVID-19 pandemic, this study investigates how language and discourse change during crisis. More specifically, correlation tests were conducted between word frequency ranks, pandemic data, and word meaning change ratio. Results indicated that the frequency of some hot words changed with both pandemic data and the frequency of other hot words, which were significantly correlated with the American pandemic data rather than that of China. Moreover, February of 2020 saw the most distinctive semantic changes marked by a large part of the nearest neighbors for WAR metaphors. The correlations between changes in the frequency and nearest neighbors of COVID-19 related hot words exhibited some acceptable peculiarities. This study proves the availability of studying discourse through language change by observing minor semantic change on connotation level from social media, which adds a new perspective to the impact of the COVID-19 pandemic.
A Magnesium-Rich Electrolyte Hydration Mix Reduces Exercise Associated Muscle Cramps in Half-Marathon Runners
Authors: Kharait Sourabh
Published: July 2022

Introduction: Magnesium is an uncommon electrolyte in a sports hydration drink despite the fact that many endurance athletes suffer from muscle cramps and soreness during marathon events.  We tested if an optimal amount of elemental magnesium (100 mg/serving) in an electrolyte mix during a marathon can reduce the incidence and severity of muscle cramps.
Methods:  The open survey was conducted using a questionnaire about muscle cramps that participating athletes completed after finishing the half-marathon race. The half-marathon course was identical in two separate events held at the same location.  Participating athletes had magnesium-rich electrolyte mix, MAGNAK or water for hydration. The number of athletes who had mild-moderate and/or severe muscle cramps were recorded in this post-event survey.
Results: A total of 86 athletes participated in the survey during event 1 and 98 in event 2. Amongst the athletes who only had water for hydration, approximately 46% of athletes had muscle cramps as compared to 21% in those who hydrated with MAGNAK (p=0.002). Hydration with MAGNAK reduced the incidence of both, mild-moderate as well as severe muscle cramps in both events. Mild-moderate muscle cramps occurred in 12% of athletes who hydrated with MAGNAK as compared to 26% in those who used water for hydration (p=0.02). Incidence of severe muscle cramps was reduced from 20% to 9% by MAGNAK on average in the composite data (p=0.04).  
Conclusions: Magnesium-rich electrolyte mix MAGNAK was highly effective in reducing mild to severe exercise associated muscle cramps in half-marathon runners.
Jargons Used by Wayang Kamasan Painter Community
Authors: Widari Ni Putu Eka
Published: July 2022

The aim of this study is to find out the languages especially the Jargon used by Wayang Kamasan painter and its meaning. The reason of this researcher was conducted because many people know Wayang Kamasan painting but they rarely know the jargon that is used by painter when they pain Wayang Kamasan. This study used qualitative approach to find out the jargons used by Wayang Kamasan Painter. This research is included phenomenological research because this research described a situation or phenomenon that is the Jargon used by Painter Wayang Kamasan. The method that used to collect the data was observation and interview. The instruments used in this research were interview guide and tape recording. This study conducted in Kamasan village, and the subjects were 10 Wayang Kamasan painter. The result showed that there were 28 jargons used by Wayang Kamasan painter. There were 14 jargons used by Wayang Kamasan painter when they are making the painting. There were also 14 jargons used in the term of tool or equipment that they used in making Wayang Kamasan painting. Through the findings of this research hopefully can help the society know more about jargons used by Wayang Kamasan painter when they make a painting.
The Contribution of E-Learning Platforms to Enhance Students’ English Skills in Learning ESP
Authors: Rizaldi Faiz , Adnyayanti Ni Luh Putu Era
Published: July 2022

In a pandemic situation, the students and teachers should adapt a new educational system required to implement online learning. The research aims to investigate the contribution of online platforms in enhancing students in learning of ESP. The study was conducted in SMK Nusa Dua Gerokgak. The study involved the students of SMK Nusa Dua Gerokgak. The observation and interview were done to collect the data. The results revealed that some online platforms use to help them in learning ESP. However, WhatsApp is the most frequent platform used since it is easier to use, and students are familiar with it.
An Analysis of Affixation Processes of Derivation and Inflection in Article with the Title “The Government of the Republic of Indonesia”
Authors: Hutaminingrum Made Prima Devi
Published: July 2022

This study aims to analyze the derivational and inflection affixation processes in the article entitled "The Government of The Republic of Indonesia". The author also describes the affixation that occurs in sentences or words contained in the article. To make it easier to see derivational and inflectional affixations, the authors use a table to determine each affixation process found. This study explores English words that experience derivational and inflection affixation processes. The source of the data studied is a written text, so this study will use the documentation method. The writer found that there were 24 affixes, namely derivational and inflectional. Of the 24 affixes found in the articles studied, 17 affixes were given derivational affixes and 7 affixes that were affixed with inflections. From the results of the analysis that has been carried out by the researcher, it can be concluded that in the article entitled "The Government of The Republic of Indonesia", there are words that are given affixation process affixes such as derivational and inflection.
Turn-taking as a Pedagogical Strategy in Classroom Interaction: A Conversation Analysis of Adjacency Pairs
Authors: Fenyi Daniel Arkoh , Nyarkoh Isaac Owusu
Published: July 2022

Most part of teaching and learning in the classroom is done through interaction or ‘talk’. The importance of teacher-student interaction in the teaching and learning process can, therefore, not be overemphasised. This study investigates the adjacency pair patterns of teacher-student classroom interaction and how these patterns impact on pedagogy. It is a qualitative study. All the four Senior High Schools in the Agona West Municipality of the Central Region of Ghana were engaged in the study. One English teacher each from the schools was selected through a random sampling technique. Their classes of an average size of 60 students were observed through participant observation and the teacher-student interactions were recorded through audio recording and note-taking. Analysis of the data was grounded in Schegloff’s (2007) conceptual framework of adjacency pair. The outcome of the study revealed that eight adjacency pairs were used in the language classroom. These are; greeting/greeting, check/clarification, instruction/compliance, question/answer, request/accept, accusation/refusal, complaint/apology and leave-taking/leave-taking. The data also revealed that 82% of the interactions is initiated by the teacher while only 18% is student-initiated. This has impacts on pedagogy and must therefore ignite the scholarly interests of pedagogues and linguists.
The Phenomenon of Code Switching Used in Daily Communication by Young People in Tumbu Village, Karangasem
Authors: Rupayanti Ni Putu Novi
Published: July 2022

The aim of this study is to find out the types and functions of code-switching that are commonly used by young people in Tumbu Village, Karangasem in their daily communication. This research is a kind of descriptive qualitative research. This study involved young people of Tumbu village, Karangasem, Bali aged 15-25 years old. The data were collected through observation and interview, and the data were analyzed descriptively. The research findings show that there was some code-switching phenomenon that happened in Tumbu Village, Karangasem. The code-switching that commonly happened in the daily communication of young people in Tumbu Village is the code-switching between the Indonesian language and the Balinese language. However, sometimes they also use or insert English words in their daily communication. The type of code-switching that is commonly used by young people in Tumbu Village, Karangasem is intra-sentential switching, which inserts words or phrases of other languages into the basic language. Moreover, the function of code-switching that is commonly used by young people in Tumbu Village, Karangasem is the Referential function, which means that people switch the language because they were more familiar with it and easier to speak certain words in the other language than their basic language.
Language and Gender in Bubunan, Buleleng Regency
Authors: Magreani Made Sri Ayu
Published: July 2022

This research discusses language and gender in the sociolinguistic field with the purposes of finding out what are the vocabularies that is commonly used by the female teenagers and the male teenagers in Bubunan Village. Thus, this research is included as the types of observational research. In collecting the data of this research, the researcher conducted observation through the teenagers’ conversation in Bubunan Village and sometimes the researcher will involve in the conversation. The result of this research is the female teenagers more commonly using the standard vocabularies in their communication. When the female teenagers delivering a bad truth, they will choose polite words, so they are not using rude words and not hurting the speakers feeling. Meanwhile, the male teenagers commonly using the rude words to show their closeness and just being straightforward. In the interaction between male and female when they have interested each other, they will choose the polite words and speak softly. In the other hand, in the interaction between male and female teenagers if they have not interested each other or their relationship is close enough as a friend, they will speak bluntly.
Influence of polymerization modes on the flexural strength and microhardness of dual cure, self adhesive resin cements
Authors: Ruthwal Yamini , Jabeen Farhat , Kundal Anisha
Published: July 2022

Aim- The main aim of the study is to determine the influence of polymerization modes on the flexural strength and microhardness of three dual cure, self adhesive resin cements. Material and methods- Three self-etching/self-adhesive luting agents were mixed and dispensed according to manufacturer’s instructions. The specimens for the flexural strength three-point bending test were fabricated by placing the materials into aluminum split mold that was 2 mm deep X 2 mm wide X 30  mm long. The specimens for microhardness test were made within aluminium split mold, 6 mm in diameter and 3 mm in height (6x3mm) according to ISO standards. Results- There was definite increase in flexural strength of Dual cure, self-adhesive resin cements when dual cured than self-cured.There was definite increase in microhardness of Dual cure, self-adhesive resin cements when dual cured than self-cured.Relyx U200 (group II ) showed highest flexural strength when compared to  BeautiCem SA (group I) and MaxcemElite (Group III). MaxcemElite (group III) showed least microhardness when compared to BeautiCem SA (group I) and RelyX U200 (group II).
The study of “employees welfare measures” in private organisation at Chennai
Authors: Prasanna A. Hepcy , Mythili G.
Published: July 2022

Employee welfare refers to how businesses, trade unions, governments, and non-governmental organisations look after the well-being of their employees. It's referred to as "improvement of work conditions for employees." Employee welfare refers to the many activities, advantages, and amenities that firms provide to their employees. The welfare facilities do not have to be monetary, but can take any shape or form. Allowances, accommodation, transportation, health insurance, and food are all included. Minerals play an important part in a country ’s economic growth. Minerals are the foundation of the country's industrialized base, and a country's wealth is directly proportional to its mineral riches and wise exploitation. India's mining sector contributes significantly to the country's economic growth. Employee or worker welfare is a broad word that refers to a variety of services, perks, and facilities provided to an organization's employees. Worker welfare actions are those that include providing adequate workplace conditions to employees on a voluntary basis by the company. A study of mining sector worker welfare measures sheds light on the statutory welfare procedures in place at the Donimalai Iron Ore Mine in Bellary District.
A survey on blockchain security for cloud and IoT environment
Authors: Ramkrishna Shwetha , Srinivas Chetana , Narasimhaiah Achyutha Prasad , Muniraju Usha , Maruthikumar Nalini Bpalya , Manjunath Ramya Iyaravally
Published: July 2022

In traditional Internet of Things (IoT) ecosystems, fog devices transmit data from sensors to a centralized cloud server.  Issues with security and upkeep while updating firmware for millions of smart devices, single points of failure, as well as third-party Cloud server administration, the difficulty of frequently updating the firmware on millions of smart devices presents security and maintenance issues as well as a bottleneck in information flows, all raise privacy concerns. Blockchain technology eliminates the need for trusted third parties while also preventing single points of failure and other issues. As a result, academics are looking into the usage of blockchain in the IoT space. The most recent state-of-the-art developments in blockchain for IoT, blockchain for Cloud, blockchain for eHealth, smart cities, transportation, and other programmes are examined in this article.