bluuebunny/crossref_metadata_2025 huggingface dataset:
Asymmetric Randomly Censored Mortality Distribution: Bayesian Framework and Parametric Bootstrap with Application to COVID‐19 Data
Authors: EL-Sagheer Rashad M. , Eliwa Mohamed S. , Alqahtani Khaled M. , EL-Morshedy Mahmoud
Published: March 2022

This article investigates a survival analysis under randomly censored mortality distribution. From the perspective of frequentist, we derive the point estimations through the method of maximum likelihood estimation. Furthermore, approximate confidence intervals for the parameters are constructed based on the asymptotic distribution of the maximum likelihood estimators. Besides, two parametric bootstraps are implemented to construct the approximate confidence intervals for the unknown parameters. In Bayesian framework, the Bayes estimates of the unknown parameters are evaluated by applying the Markov chain Monte Carlo technique, and highest posterior density credible intervals are also carried out. In addition, the Bayes inference based on symmetric and asymmetric loss functions is obtained. Finally, Monte Carlo simulation is performed to observe the behavior of the proposed methods, and a real data set of COVID‐19 mortality rate is analyzed for illustration.
Dynamic Cooperative Cache Management Scheme Based on Social and Popular Data in Vehicular Named Data Network
Authors: Ashraf M. Wasim Abbas , Huang Chuanhe , Raza Khuhawar Arif , Huang Shidong , Yin Yabo , Wu Dong-Fang
Published: March 2022

Vehicular Named Data Network (VNDN) is considered a strong paradigm to deploy in vehicular applications. In VNDN, each node has its cache, but due to limited cache, it directly affects the performance in a highly dynamic environment, which requires massive and fast content delivery. To reduce these issues, the cooperative caching plays an efficient role in VNDN. Most studies regarding cooperative caching focus on content replacement and caching algorithms and implement these methods in a static environment rather than a dynamic environment. In addition, few existing approaches addressed the cache diversity and latency in VNDN. This paper proposes a Dynamic Cooperative Cache Management Scheme (DCCMS) based on social and popular data, which improves the cache efficiency and implements it in a dynamic environment. We designed a two-level dynamic caching scheme, in which we choose the right caching node that frequently communicates with other nodes, keep the copy of the most popular content, and distribute it with the requester’s node when needed. The main intention of DCCMS is to improve the cache performance in terms of reducing latency, server load, cache hit ratio, average hop count, cache utilization, and diversity. The simulation results show that our proposed DCCMS scheme improves the cache performance than other state-of-the-art approaches.
On Development of Neutrosophic Cubic Graphs with Applications in Decision Sciences
Authors: Sultana Fazeelat , Gulistan Muhammad , Liu Peide , Ali Mumtaz , Khan Zahid , Al-Shamiri Mohammed M. , Azhar Muhammad
Published: March 2022

In this study, the neutrosophic cubic graphs are further developed. We discussed and explored the open and the closed neighborhood for any vertex in neutrosophic cubic graphs, regular and totally regular neutrosophic cubic graphs, complete neutrosophic cubic graphs, balanced and strictly balanced neutrosophic cubic graphs, irregular and totally irregular neutrosophic cubic graphs, complement of a neutrosophic cubic graph, neighborly irregular and neighborly totally irregular neutrosophic cubic graphs, and highly irregular neutrosophic cubic graphs. It has been demonstrated that the proposed neutrosophic cubic graphs are associated with specific conditions. The comparison study of the proposed graphs with the existing cubic graphs has been carried out. Eventually, decision-making approaches for handling daily life problems such as effects of different factors on the neighboring countries of Pakistan and selection of a house based on the notions of proposed graphs are presented.
An Eluate of the Medicinal Plant Garcinia kola Displays Strong Antidiabetic and Neuroprotective Properties in Streptozotocin-Induced Diabetic Mice
Authors: Seke Etet Paul F. , Hamza Muaawia A. , El-Tahir Ahmed , Vecchio Lorella , Osman Sayed Y. , Satti Gwiria M. H. , Ismail Mohamed H. A. , Farahna Mohammed , Njamnshi Alfred K. , Adem Abdu
Published: March 2022

Scope. The neuroprotective properties of the antidiabetic plant Garcinia kola have been reported. Here, we performed a motor sign prevention-guided fractionation of G. kola extract in diabetic mice to unravel the components of the most active subfraction, given the potential for the development of drugs with antidiabetic and neuroprotective properties. Materials and Methods. G. kola methanolic extract was fractionated using increasingly polar solvents. Fractions were administered to streptozotocin (STZ)-induced diabetic mice until marked motor signs developed in diabetic controls. Fine motor skills indicators were measured in the horizontal grid test (HGT) to confirm the prevention of motor disorders in treated animals. Column chromatography was used to separate the most active fraction, and subfractions were tested in turn in the HGT. Gas chromatography-mass spectrometry (GC-MS) technique was used to assess the components of the most active subfraction. Results. Treatment with ethyl acetate fraction and its fifth eluate (F5) preserved fine motor skills and improved the body weight and blood glucose level. At dose 1.71 mg/kg, F5 kept most parameters comparable to the nondiabetic vehicle group values. GC-MS chromatographic analysis of F5 revealed 36 compounds, the most abundantly expressed (41.8%) being the β-lactam molecules N-ethyl-2-carbethoxyazetidine (17.8%), N,N-dimethylethanolamine (15%), and isoniacinamide (9%). Conclusions. Our results suggest that subfraction F5 of G. kola extract prevented the development of motor signs and improved disease profile in an STZ-induced mouse model of diabetic encephalopathy. Antidiabetic activity of β-lactam molecules accounted at least partly for these effects.
Tuberculosis Disease Diagnosis Based on an Optimized Machine Learning Model
Authors: Hrizi Olfa , Gasmi Karim , Ben Ltaifa Ibtihel , Alshammari Hamoud , Karamti Hanen , Krichen Moez , Ben Ammar Lassaad , Mahmood Mahmood A.
Published: March 2022

Computer science plays an important role in modern dynamic health systems. Given the collaborative nature of the diagnostic process, computer technology provides important services to healthcare professionals and organizations, as well as to patients and their families, researchers, and decision-makers. Thus, any innovations that improve the diagnostic process while maintaining quality and safety are crucial to the development of the healthcare field. Many diseases can be tentatively diagnosed during their initial stages. In this study, all developed techniques were applied to tuberculosis (TB). Thus, we propose an optimized machine learning-based model that extracts optimal texture features from TB-related images and selects the hyper-parameters of the classifiers. Increasing the accuracy rate and minimizing the number of characteristics extracted are our goals. In other words, this is a multitask optimization issue. A genetic algorithm (GA) is used to choose the best features, which are then fed into a support vector machine (SVM) classifier. Using the ImageCLEF 2020 data set, we conducted experiments using the proposed approach and achieved significantly higher accuracy and better outcomes in comparison with the state-of-the-art works. The obtained experimental results highlight the efficiency of modified SVM classifier compared with other standard ones.
Hypertensive Crisis in a Pediatric Patient Experiencing Clonidine Withdrawal
Authors: Cao Can , Lorenz Matthew L. , Sojka Phillip , Brindle Allison W. , Topor Lisa Swartz
Published: March 2022

Background. Clonidine, a central alpha-adrenoreceptor agonist, was initially developed as an antihypertensive. Though no longer commonly used for its original indication due to rebound hypertension after discontinuation, it is currently widely prescribed as a treatment for many pediatric indications including sleep disorders, behavioral concerns, and attention deficit hyperactivity disorder. Case Report. We describe a girl who developed prolonged symptoms of clonidine withdrawal, including hypertension and elevated serum metanephrines. Discussion. Clonidine withdrawal in pediatric patient can present with hypertensive urgency and other signs of sympathetic stimulation. Withdrawal can also lead to dramatic elevation in serum metanephrines. Treatment with a clonidine taper will reduce development of withdrawal symptoms. Conclusion. Given the rise in clonidine use in pediatric patients, clinicians should be aware of the risk of clonidine withdrawal and how to recognize and avoid its development.
Electric Vehicle Usage Pattern Analysis Using Nonnegative Matrix Factorization in Renewable EV-Smart Charging Grid Environment
Authors: Balasubramaniam Anandkumar , Balasubramaniam Thirunavukarasu , Paul Anand , Seo HyunCheol
Published: March 2022

The global utilization of electric vehicles (EVs) is exponentially increasing due to the increased availability of cost-efficient EVs and infrastructure managements for the EVs. In spite of the increasing usage of EVs, the problem of EV usage patterns’ analysis and implementing sustainable infrastructure for the EV transportation is still under development. In addition to this, there is a challenging problem of long waiting hours in traffic signals. This study deals with these problems by proposing an architecture that includes EV usage pattern analysis using nonnegative matrix factorization (NMF) technique and renewable solar-powered wireless smart charging grid to effectively utilize or mitigate the long traffic signal waiting hours. The insights from the EV usage patterns are analyzed and presented showing the importance of usage pattern analysis alongside to the presented architecture of renewable solar-powered wireless EV-smart charging grid. These implementations improvise the usage of the EVs and enhancing the transportation experience, which in turn leads to the development of sustainable smart transportation.
Antibiofilm Activity of Azadirachta indica and Catharanthus roseus and Their Synergistic Effects in Combination with Antimicrobial Agents against Fluconazole-Resistant Candida albicans Strains and MRSA
Authors: Neglo David , Adzaho Francisca , Agbo Irene A. , Arthur Richmond , Sedohia Daniel , Tettey Clement Okraku , Waikhom Sayanika Devi
Published: March 2022

The rapid emergence and spread of antimicrobial resistance has become a global public health concern that threatens the effective treatment of infectious diseases. One major approach adopted to overcome antimicrobial resistance is the use of plant extracts individually and/or with combination of antibiotics with plant extracts, which may lead to new ways of treating infectious diseases and essentially representing a potential area for further future investigations. In this study, the antifungal activities of Azadirachta indica leaf and Catharanthus roseus flower extracts against fluconazole-resistant Candida albicans strains (isolated from pregnant women with vulvovaginal candidiasis) and anti-methicillin-resistant Staphylococcus aureus (MRSA) were evaluated by agar well diffusion, microdilution, and biofilm inhibition assays. Subsequently, the determination of the combined antimicrobial activity of the individual plant extracts with (fluconazole and voriconazole) and (ampicillin, tetracycline, and streptomycin) against C. albicans strains and MRSA, respectively, was evaluated by checkerboard microdilution assay. Results from the study showed that the antimicrobial activity of the two plant extracts determined by time-kill kinetics was fungistatic with their MICs ranging from 0.1 to 4 mg/mL. Interestingly, all extracts were proved as good biofilm inhibitors of resistant C. albicans and MRSA from 10.1 to 98.82%. Their combination interaction with fluconazole, voriconazole, ampicillin, tetracycline, and streptomycin ranged from synergy to antagonism as per the parameters used. Overall, these results showed that A. indica leaf and C. roseus flower extracts have significant antifungal property. Furthermore, A. indica leaf and C. roseus flower extracts alone or in combination with fluconazole and voriconazole could provide a promising approach to the management of candidiasis caused by drug-resistant strains as well as their interaction with the antibacterial agents to combat the common infections caused by MRSA.
A Case of Acquired Hemophilia A in a Patient with Exposure to COVID-19
Authors: Guerra Jorge D. , Gowarty Jasmine , Buess Jordan , Mason James , Halka Kathleen
Published: March 2022

Acquired Hemophilia A (AHA) is a very rare autoimmune condition involving immune-mediated depletion of Factor VIII, resulting in spontaneous hemorrhage. Failure to recognize AHA as a possible etiology of hemorrhage can result in delayed diagnosis and treatment. The COVID-19 pandemic has given rise to several hematologic conditions and complications, with a rare manifestation being Acquired Hemophilia A (AHA). An interesting case of AHA following SARS-CoV-2 infection is described, along with the treatment approach and a brief review of several cases describing AHA in association with COVID-19.
Paediatric Crohn’s Disease Patients Have Increased Inflammatory Markers Compared to Adult Patients prior to Biological Treatment
Authors: Bouazzi Meyya , Bak Nina F. , Agnholt Jørgen , Wewer Vibeke , Malham Mikkel , Bendix Mia
Published: March 2022

Background. Recent epidemiological studies in inflammatory bowel disease (IBD) indicate that paediatric onset of IBD (pIBD) more often requires biological therapy compared to adult onset of IBD (aIBD). Whether this is due to a more aggressive disease phenotype or lower threshold of prescribing biologicals is unknown. In order to expand these findings in a clinical setting, we compared the inflammatory burden in pIBD and aIBD patients requiring biological therapy. Methods. We retrospectively included 70 pIBD and 83 aIBD patients initiating biological therapy. Symptoms and biomarker levels were recorded prior to and 6, 14, 22, and 52 weeks after initiation of biological therapy. Results. In Crohn’s disease (CD), the baseline levels of faecal calprotectin and C-reactive protein (CRP) were increased in paediatric CD patients compared to adult CD patients (

p
<
0.0001

and

p
=
0.01

, respectively). No significant differences were seen in ulcerative colitis (UC). In CD, baseline vitamin D

levels
≥
75

 nmol/L and baseline CRP

levels
<
5

 mg/L were associated with higher remission rate (

p
=
0.02

) at the end of follow-up. Moreover, aIBD patients had a higher risk of loss of response to biological therapy and treatment discontinuation compared to pIBD patients (

HR
=
4.7

[1.6-13.4],

p
=
0.004

). Conclusions. pCD patients had increased inflammation markers compared to aCD patients prior to biological treatment. In addition to this,

vitamin
 
D
<
75

 nmol/L and high CRP levels predicted poor response to treatment in IBD patients.
Gravitational Agglomeration of Local Synchronization Data Set in Innovation Ecosystem: A Game between Innovation and Institutional Governance
Authors: Sun Jian , Zou Hua , Zhang Shuo , Qin Hao
Published: March 2022

Innovation and governance have become new driving forces for the high-quality development of the innovation ecosystem under the new normal. This study is inspired by the universal gravitation model. The model of element agglomeration is constructed in the innovation ecosystem, which deals with the local synchronization problem of innovation and institutional governance’s data set. Based on the perspective of fluctuation, the agglomeration of elements produces fields in the innovation ecosystem. The relationship between innovation and governance is simulated and analyzed to game theory in the innovation ecosystem. In addition, the effects of different parameter conditions on synchronous clustering of data set are explored. The empirical results show the following: (1) The government’s investment in innovation elements and institutional governance elements is directly proportional to the obtained benefits. The government’s high-intensity support is greater than the benefits obtained from low-intensity support. (2) The emergence of enterprise synchronization is in line with the principle of moderation. The threshold is approximately 0.5, which can realize the accumulation and superposition of the effectiveness of innovation field and institutional governance field. Besides, neither high probability nor low probability synchronization of innovation and institutional governance’s data set can reach the optimal solution. (3) It indicates the higher the coupling investment of university and scientific research institute, the higher the income. Meanwhile, increasing the coupling investment can help universities and research institutions save the cost of research time. Finally, energy superposition can be realized through simultaneous gathering of innovation elements and institutional governance elements to achieve the aim of promoting high-quality development in innovation ecosystem. Moreover, it provides reference for deepening the development of innovation ecosystem.
Fluorescence Sensor Based on Polyaniline Supported Ag-ZnO Nanocomposite for Malathion Detection
Authors: Berhanu Sintayehu , Habtamu Fikradis , Tadesse Yordanos , Gonfa Fantahun , Tadesse Tesfaye
Published: March 2022

Sensitive and selective determination of harmful organophosphate is rigorously fundamental due to its large negative influence on the environment and human health. Ultrasensitive fluorescence nanocomposite was developed for malathion detection which was based on electrostatic interaction between polyaniline and Ag-ZnO nanocomposite. The nanocomposite (Ag-ZnO/PANI) was prepared via the sol-gel technique next in situ oxidative polymerization of polyaniline. The synthesized nanocomposite was characterized by FT-IR, XRD, SEM, UV-vis, and fluorescence spectroscopic techniques. The fluorescence intensity of the nanocomposite was quenched by MA, which was proportional to the concentration of MA in the range of 0–1000 nM, with a detection limit of 13.2 nM. The proposed method was sensitive, selective, easy in design, and fast in operation. Therefore, it has been effectively used for MA detection in agricultural products with suitable recovery.
Research on Evaluation Method of Physical Education Teaching Quality in Colleges and Universities Based on Decision Tree Algorithm
Authors: Li Weicai
Published: March 2022

Ensuring and improving quality in higher education is a never-ending theme in university construction and development. College teaching quality includes the quality of physical education instruction. Physical education’s unique focus necessitates the use of teaching quality evaluation tools. This paper develops a decision tree algorithm-based evaluation index system for college physical education teaching quality. The evaluation index and weight of the system for evaluating the quality of physical education teaching are determined using the expert consultation method and analytic hierarchy process. To put it another way, while discussing data mining theory in general, the paper focuses on decision tree algorithm flow and structure. To develop a decision tree model for the established PE teaching quality evaluation system, the modified C4.5 algorithm was applied to classroom teaching evaluation data from 125 teachers, and the model’s correctness and applicability were verified. When it is all said and done, it highlights key decision-making attributes that have an impact on how well physical education teachers are evaluated, and it offers some sound advice based on these findings.
Forkhead Box Transcription Factors: Double-Edged Swords in Cancer
Authors: Castaneda Maria , Hollander Petra den , Mani Sendurai A.
Published: March 2022

A plethora of treatment options exist for cancer therapeutics, but many are limited by side effects and either intrinsic or acquired resistance. The need for more effective targeted cancer treatment has led to the focus on forkhead box (FOX) transcription factors as possible drug targets. Forkhead factors such as FOXA1 and FOXM1 are involved in hormone regulation, immune system modulation, and disease progression through their regulation of the epithelial–mesenchymal transition. Forkhead factors can influence cancer development, progression, metastasis, and drug resistance. In this review, we discuss the various roles of forkhead factors in biological processes that support cancer as well as their function as pioneering factors and their potential as targetable transcription factors in the fight against cancer.
Bioactive Properties and Phytochemical Screening of Mad Honey Bee Pollen
Authors: Bagdatli Emine , Atmaca Hilal , Erturk Omer
Published: March 2022

Introduction: Mad honey is widely used in folk medicine in the Black Sea region of Turkey for its medicinal properties, but its pollen is not collected by mad honey producers and its benefits are unknown. Methods: In this study, water and ethanol extracts of mad honey bee pollen from four different plateaus in the Black Sea region of Turkey were researched for their antioxidant and antimicrobial properties. Phytochemical analyses were carried out and the data were supported with UV-Vis spectrophotometry. Antimicrobial activity was researched against four Gram-positive and four Gram-negative bacteria, one fungus, and one yeast. The results were compared with standard antioxidants and antibiotics. Results: The ethanol extracts of the samples from Sinop (P5), Giresun (P7), and Trabzon (P8) were the most active samples as antioxidants, and almost all the extracts of R. ponticum bee pollen were effective on the tested microorganisms. However, P5–8 showed better values for B. cereus, E. feacalis, E. coli, and P. aeruginosa. Conclusion: It has been proven that mad honey bee pollen is a natural product with previously unknown medicinal properties and rich phytochemical content. Future research and clinical trials are important to scientifically support its benefits in complementary medicine.
The Views of Researchers on the Alcohol Industry’s Involvement in Science: Findings from an Interview Study
Authors: McCambridge Jim , Mitchell Gemma
Published: March 2022

Introduction: Debates in the peer-reviewed literature on alcohol industry involvement in science have been polarized, with the activities of the International Center on Alcohol Policies and industry provision of research funding being particularly contentious. We aimed to explore researchers’ views on the nature of the debates and the issues raised. Methods: Qualitative interview study with experienced researchers working on alcohol policy-relevant topics across ten countries (n = 37). Thematic analysis of views articulated, supported where appropriate by accounts of how experiences informed particular perspectives. Results: The main finding is how much common ground there now is among participants, regardless of whether they had previously worked with industry organizations or received alcohol industry funding. Norms have changed and participants agree that the earlier debates were dysfunctional. Participants on all sides of these earlier debates experienced significant psychological burdens as a result of industry-related activity in alcohol research. These include reputational harms from working with industry organizations and/or receiving research funding, and harassment by industry for producing findings contrary to commercial interests. Key ongoing contentious issues include the extent to which conflicts of interest can or should be managed by individual researchers, and how distinct the alcohol industry is from other funders and other industries. Participant views on ways forward include improving the evidence-base underpinning the debates, and having collegiate discussions among researchers, including all strands of opinion and experience. Conclusions: This group of alcohol researchers shares more nuanced contemporary positions on issues relating to industry involvement in science than are reflected in the existing material in peer-reviewed journals. Almost all regard the alcohol industry’s involvement in research as having been damaging.
Baron Larrey at the Dawn of Correlative Neuroanatomy
Authors: Feinsod Moshe , Marom Assaf , Blecher Ronen
Published: March 2022

In 1820, a young soldier was accidentally injured by a splinter of a fencing sword that penetrated through the right orbit into the brain. Examination by the French military surgeon Baron D.-J. Larrey revealed nominal aphasia, right hemiplegia, and monocular temporal hemianopia with an altitudinal component in the right eye only. In this paper, we aimed to reconstruct Larrey’s contribution to neurology in the eve of correlative neuroanatomy. Larrey predicted that the blade passed from the roof of the right orbit to graze the root of the right optic nerve at the chiasm and from there, into the vicinity of the left Sylvian fissure. This course was verified posthumously 3 months later. Larrey’s previous experience with galvanic currents enabled the adoption of Samuel von Sömmering’s idea of regarding the brain as a telegraphing system made of a multitude of galvanic piles sending and receiving messages from distant points. Larrey’s description is a very early diligent study of the tracks of penetrating head injuries. It correlates the symptoms with the injured cerebral tissues together with autopsy verification. Here are the beginnings of the construction of human correlative neuroanatomy, which lingered until flourishing in the first decades of the 20th century.
Biomarker bei chronisch-obstruktiven Lungenerkrankungen: Zunehmende Rolle von Eosinophilen und Procalcitonin
Authors: Sivapalan Pradeesh , Jensen Jens-Ulrik
Published: March 2022

Antibiotika können die Prognose bei Patienten mit einer Exazerbation der chronisch-obstruktiven Lungenerkrankung verbessern. Der übermäßige Einsatz von Antibiotika kann jedoch schwerwiegende negative Folgen für die Patienten (Magen-Darm-Infektionen) und für die Gesellschaft (bakterielle Resistenz) haben. Auch systemische Kortikosteroide können diesen Patienten helfen, haben aber bei vielen Patienten auch schwerwiegende unerwünschte Wirkungen wie Osteoporose, Muskelschwund und Diabetes. Wann immer es sichere Methoden gibt, um diese beiden Behandlungsmodalitäten zu reduzieren, sollten sie eingesetzt werden. Die Blut-Biomarker Procalcitonin und die Fraktion der Leukozyten, die als eosinophile Granulozyten bekannt sind, haben in randomisierten kontrollierten Studien (RCTs) bewiesen, dass sie wirksam und signifikant sind und wesentlich dazu beitragen, die Verwendung dieser beiden potenten, aber toxischen Medikamentenarten zu reduzieren. In dieser Übersicht werden der Hintergrund und die wichtigsten klinischen Ergebnisse erörtert und die Gründe für biomarkergestützte klinische Entscheidungen dargelegt. Außerdem werden die wichtigsten erwarteten Auswirkungen, ihre Größenordnung und vor allem die Grenzen einer solchen Strategie beschrieben. Die klinische Evidenz wird priorisiert, wobei das Hauptgewicht auf RCTs und Metaanalysen zu diesen und zu den Outcomes liegt, der Schwerpunkt liegt dabei auf der Sicherheit einer solchen biomarkergesteuerten Strategie sowie auf den Auswirkungen einer Medikamentenreduktion. In einer Zeit, in der Ärzte von Patienten und Politikern zunehmend aufgefordert werden, zu heilen und Symptome zu lindern, scheint der hippokratische Satz, «primum non nocere» oder «vorerst keinen Schaden anrichten» mehr denn je von Bedeutung zu sein.
Acetaminophen Has Lipid Composition-Dependent Membrane Interactivity That Could Be Related to Nephrotoxicity but Not to Analgesic Activity and Hepatotoxicity
Authors: Mizogami Maki , Tsuchiya Hironori
Published: March 2022

Objective: Although acetaminophen is one of the most widely used over-the-counter drugs, the mechanisms by which this classical drug exerts analgesic, hepatotoxic, and nephrotoxic effects remain unclear. We hypothesized that acetaminophen might act on cellular membranes of nerves, liver, and kidneys. In order to verify this hypothesis, we studied the interactivity of acetaminophen with biomimetic lipid bilayer membranes by comparing with structurally related phenacetin. Methods: Liposomal membranes (unilamellar vesicles suspended in the buffer of pH 7.4) were prepared with phospholipids and cholesterol to mimic the membrane lipid composition of neuronal cells, hepatocytes, and nephrocytes. They were subjected to reactions with acetaminophen and phenacetin at clinically relevant concentrations, followed by measuring fluorescence polarization to determine their membrane interactivity to modify membrane fluidity. Results: Acetaminophen and phenacetin interacted with neuro-mimetic and hepato-mimetic membranes to increase membrane fluidity at 10–100 μM. Both drugs were more effective in fluidizing hepato-mimetic membranes than neuro-mimetic membranes. Although the relative membrane-interacting potency was phenacetin >> acetaminophen in neuro-mimetic and hepato-mimetic membranes, such membrane effects conflicted with their relative analgesic and hepatotoxic effects. Acetaminophen and phenacetin strongly interacted with nephro-mimetic membranes to increase membrane fluidity at 2–100 μM and 0.1–100 μM, respectively. Phenacetin interacted significantly with nephro-mimetic membranes at lower concentrations (<2 μM) than acetaminophen, which was consistent with their relative nephrotoxic effects. Conclusion: In comparison with phenacetin, lipid composition-dependent membrane interactivity of acetaminophen could be related to nephrotoxicity but not to analgesic activity and hepatotoxicity.
The role of speech style between teacher and student in learning English
Authors: Amiruddin Mohammad , Jannah Ukhti Raudhatul
Published: March 2022

This study examined the role of speech style between teachers and students in learning English. This study was ex post facto research, using quantitative approach. The students at English Department of Madura University, Indonesia were the population in this research. A sample was decided using proportional stratified random sampling technique. The data were analyzed by simple regression technique. The result of the study showed that the role of speech style between the teachers and the students in learning English is 0.62 (62%). The speech styles of the teachers and students work on students’ proficiency level in English. Conducive classroom in language learning is the requirement of the right speech styles of the teachers and the students. It makes necessary for the teachers to provide students with suitable speech style with the contexts in order to put up the classroom serving the students with substantial input.
Investigation of primary school students solving arithmetic verbal problems
Authors: Bal Ayten Pınar , Dinç Artut Perihan
Published: March 2022

The study determined the arithmetic verbal problem solving skills of primary school students and to examine them according to grade level and mathematics achievement variables. The study was designed according to the relational survey model, one of the quantitative research methods. The population of the research consists of students studying in public primary schools in the central districts of a large city in the south of Turkey. The sample consisted of 1,865 students determined according to the disproportionate stratified sampling method. The "arithmetic verbal problem test for students" prepared by the researchers was used as a data collection tool. As a result of the research, it was revealed that the students were most successful in the problems of combining and separating with “consequence unknown”, then “with change unknown” and “initial unknown”, but they were less successful in part-whole type problems. Thus, it was concluded that as the mathematics achievement and grade levels of the students increased, their success in solving verbal problems also increased.
Putting transformative learning in higher education based on linking capital
Authors: Syaharuddin Syaharuddin , Mutiani Mutiani , Handy Muhammad Rezky Noor , Abbas Ersis Warmansyah , Jumriani Jumriani
Published: March 2022

This study aimed to analyze learning at the level of higher education. The practice of higher education, of course, also requires a transformation of learning. It is intended to achieve the competencies needed in the 21st century.The study used a qualitative approach. Observations were made on online learning practices at Lambung Mangkurat University, Banjarmasin, Indonesia from March to May 2021. In-depth interviews employed with 17 students who live in Banjarmasin. Miles and Huberman's data analysis technique reduces interview data. The study results described that learning at the higher education level has differences in the achievement of the graduate profile. There are two main patterns, namely, institution-centered learning and student-centered learning. The student's need for network strengthening requires the systemic transformation of learning. One learning transformation that can be carried out is strengthening learning practices outside the classroom with partners (stakeholders). The primary purpose of partner involvement is a condition designed so that students can increase network capital. This linking capital is expected to be an opportunity for students to increase student succession when they graduate from higher education.
Effect of online quizzes on music theory achievement of freshman music teaching students
Authors: Çeliktaş Hatice , Demirbatır Rasim Erol
Published: March 2022

This research examined the effects of online quizzes on the music theory achievement of freshman music teaching students. For this purpose, the students who took the Western Music Theory and Practice I course were determined as the study group and experimental research was conducted. A pre-assessment test was given to determine students’ knowledge level about music theory and the median value of the test was determined as the cut-off point. The cut-off point was established as the experimental group, while the cut-off point was established as the control group. In the semester, four online quizzes were given to the experimental group apart from the midterm and final exams. Finally, a final test was applied to whether there was a significant difference between the groups. Consequently, there was no significant difference between the two groups. However, it was seen that the experimental group scores are slightly higher than the control group scores, thus the experimental group achieved the success of the control group. When it was compared to the pre-assessment test scores, it shows that the students in the experimental group achieved a remarkable positive difference in the process. The discussion includes recommendations about the use of online quizzes.
Developing complexity science-problem based learning model to enhance conceptual mastery
Authors: Amanda Finga Fitri , Sumitro Sutiman Bambang , Lestari Sri Rahayu , Ibrohim Ibrohim
Published: March 2022

Implementing a proper learning model during the post COVID-19 pandemic is fundamental for learning quality enhancement, specifically for students' conceptual mastery. The research aims to develop a Complexity Science- Problem Based Learning (CS-PBL) model assisted by the Sistem Informasi Pengelola Pembelajaran (SIPEJAR) e-learning platform that is valid, practical, and effective to enhance students' conceptual mastery during the post COVID-19 pandemic. The research and development model were adapted from Plomp and Nieven consisted of three phases: preliminary research, prototyping phase, and assessment phase. The first phase research result was that the learning process in during COVID-19 pandemic was less interactive, which led to less effective learning. The students' score on conceptual mastery was in the poor category. The second phase resulted in a book of CS-PBL model assisted by SIPEJAR and supporting instruments considered valid by three experts. The third phase result was that the CS- PBL model assisted by SIPEJAR was considered practical in the learning process implementation. The CS-PBL model can enhance students' conceptual mastery where the N-gain was sufficiently effective. It is concluded that the CS-PBL model assisted by SIPEJAR was considered valid, practical, and effective to enhance students' conceptual mastery during the post COVID-19 pandemic.
Elevating natural science learning achievement: Cooperative learning and learning interest
Authors: Suendarti Mamik , Virgana Virgana
Published: March 2022

Natural science learning achievement is an essential factor in learning outcomes. This research investigated an experimental study that aimed to improve concept science test result in online learning through Jigsaw cooperative learning model and learning style. The research involved the sample of 80 students from junior high school in South Jakarta, Indonesia divided into two groups: the experimental class and the class control. Raw data were statistically analyzed using the two-way variance technique at the .05 significance level. The findings revealed an effect between cooperative learning on natural science learning achievement, learning interest in natural science learning achievement, and interaction between cooperative learning and learning interest in natural science learning achievement. As a result, cooperative learning type Jigsaw shows a significant impact and had a good test result on natural science learning achievement. Therefore, the research suggests that Jigsaw cooperative learning is well suited to use as a learning model among junior high school students based on effect size test results.
Techno self online learning PEVAR as a new learning alternative: Paradigm and construction
Authors: Fadli Failasuf , Budiningsih Chatarina Asri , Wahyono Sugeng Bayu , Sukirno Sukirno , Parthasarathy Karthikeyan , Johari Razana Juhaida
Published: March 2022

This article aims to build paradigms, strategies, and stages of learning models that can reduce learning barriers. The learning process can benefit changes in cognitive, affective, and psychomotor aspects for the better. This research was conducted because it saw the reality of the problem of low learning achievement. This was qualitative study employed induction approach. The analysis of generic analytic style employed as theory development. This research found an online independent learning model consisting of five stages: preparation, exploration, verification, analysis, and reflection called PEVAR. Techno self online learning PEVAR offers a technology-based self-study alternative. Techno self online learning PEVAR is built based on the paradigm of behaviorism, constructivism, and cognitive. This learning model increases learning achievement, which is marked by increasing students' affective, cognitive, and psychomotor abilities. The strategies used to achieve the goals are commitment, discipline, motivation, confidence, creativity, activity, effectiveness, and efficiency in learning.
Increasing destination loyalty of international students towards Malaysian higher educational institutions
Authors: Thoo Ai Chin , Lim Matthew Boon Pin , Huam Hon Tat , Sulaiman Zuraidah
Published: March 2022

Educational tourism has gained popularity worldwide due to the emergence of the knowledge economy that has increased the global demand for tertiary education. Therefore, the trend has inspired this study to examine the factors affecting international students’ destination loyalty to revisit and recommend Malaysian higher educational institutions as their educational tourism attractions. In this study, 200 international students who were currently studying in Malaysian higher educational institutions were recruited through purposive sampling technique. The statistical package for the social sciences (SPSS) and SmartPLS were performed for data collection analysis. The findings demonstrated that the service quality, destination image, and cost of the study were positively correlated with the students’ satisfaction wherein students’ satisfaction contributed positively and significantly to the destination loyalty of international students in recommending and revisiting Malaysia for educational tourism. This study provided all the higher educational institutions and authorities in Malaysia with a better understanding of international students’ expectations and perceptions towards studying in Malaysia. Subsequently, the relevant stakeholders could implement effective strategies to improve and assist the Malaysian government in accomplishing the aspiration of becoming one of the most excellent international education hubs in the world.
The effect of practicum learning based audiovisual on students’ learning outcomes in Indonesian vocational secondary school
Authors: Indrawati Cicilia Dyah Sulistyaningrum , Ninghardjanti Patni , Dirgatama Chairul Huda Atma , Wirawan Arif Wahyu
Published: March 2022

This research aimed to examine the effectiveness of practicum learning based audiovisual in improving students’ learning outcomes in vocational secondary schools. At the practical level, teachers play an important role in facilitating students by designing an appropriate method, media, and material of learning which represent the actual condition of workplaces. Thus, students can gain their learning skills and experiences. Quasi-experimental research was conducted in vocational secondary schools in Surakarta city, Indonesia. The research participants were 230 students categorized into the control group and the experimental group. The results showed the effectiveness of practicum learning based audiovisual in improving students’ learning outcomes effectively. The effectiveness can be proved by the average pretest score and post-test score between the control group and the experimental group. Considering its effectiveness, practicum learning based audiovisual can be used as an advanced model of learning in vocational secondary school especially in preparing students before joining the industrial circle. This research has shown the effectiveness of practicum learning based audiovisual in improving students’ learning outcomes in vocational secondary schools. It can be proved by the result of an independent t-test that shows significant differences in students’ learning outcomes in the control group and experimental group. Based on the results of research, the model of practicum based audiovisual learning can become an advanced model of practicum learning in vocational secondary schools, especially in non-engineering and technic majors.
Ethnomathematics: Mathematical ideas and educational values on the architecture of Sasak traditional residence
Authors: Fauzi Lalu Muhammad , Hanum Farida , Jailani Jailani , Jatmiko Jatmiko
Published: March 2022

Sasak traditional architecture, including the shape of the structure, layout, and other supporting buildings, has references and rules in its designing and planning. Traditional residence is one of the cultural artifacts. A residence is not only built based on aesthetic values, but is also reviewed from strengths and values contained philosophically. Thus, this study aimed to describe mathematical ideas that are contained in the architecture of Sasak traditional residence as well as educational values in the culture that can be made as the initial step in designing learning processes at schools. This study was qualitative research conducted by using an ethnographic method. The informants in the study encompassed Adat figures, Adat stakeholders, and cultural experts who understand the culture of Sasak people. Participant observation, interview, documentation, and field record were the data collecting techniques used in the study. Findings showed the existence of mathematical ideas that are potential to be made as the initial step in learning mathematics contextually.
Students’ interpersonal skills and its association with their academic achievement in secondary school of Pakistan
Authors: Abid Nisar , Samuel Aqeela , Ali Rizwan , Shoaib Almas , Warraich Waqar Younas
Published: March 2022

The educational productivity theory directed that students’ variables affect their performance. Therefore, this descriptive correlational study was designed to examine students’ interpersonal skills and its association with their achievement. There were 3,200 high school students participated in this study, selected from 80 high schools of Punjab through multistage random sampling technique. The Interpersonal Skills Scale (ISS) was adapted from DiPerna and Elliott’s Academic Competence Evaluation Scales-Student form (ACES-Student). ISS demonstrated a good internal consistency (coefficient alphas=0.819 and composite reliability=0.845). The results exhibited that students have a competent level of interpersonal skills. Moreover, a statistically significant difference was found in female and male students’ perceptions about interpersonal skills, while female have more interpersonal skills than male. Furthermore, ANOVA results concluded that administrative division (location) influences students’ perception of interpersonal skills. It is concluded from the correlational analysis that students’ interpersonal skills are indirectly associated with their achievement because a negative weak relationship was found in students’ interpersonal skills and their achievement as r=0.031, p=0.081. It is suggested that teachers may promote interpersonal skills by integrating cooperative and collaborative learning strategies into their classrooms.
Developing and validating the multidimensional industry commitment scales: The perspective of vocational high school students
Authors: Mahfud Tuatul , Aprily Nuraly Masum , Saputro Ida Nugroho , Siswanto Ibnu , Suyitno Suyitno
Published: March 2022

Industry commitment plays a vital role in vocational education programs, especially in vocational high schools. The involvement of the industry is the key to the success of implementing vocational education. However, how to measure industry commitment in vocational learning is still not discussed. This study aimed to develop and test the validity of an industry commitment questionnaire. The industrial commitment questionnaire validation test gradually used three techniques, namely, content validity test, pilot test, and confirmatory factor analysis (CFA). The respondents were 390 culinary students of seven state vocational schools in Yogyakarta Special Region Province, Indonesia. This study revealed that industrial commitment can be measured by 12 items of industry commitment questionnaire consisting of four career opportunity items, two performance assessment items, four involvement/participation items, and two empowerment items. This study fills a gap in the assessment of industry commitment to engagement in vocational education programs. This study has implications for vocational education practitioners to evaluate the extent of industry commitment to vocational education programs.
Teachers’ acceptance of mobile technology use towards innovative teaching in Malaysian secondary schools
Authors: Ismail Siti Noor , Omar Mohd Norakmar , Don Yahya , Purnomo Yoppy Wahyu , Kasa Muhamad Dzahir
Published: March 2022

The integration of mobile technology is not a new thing nowadays. It became increasingly applied after the COVID-19 pandemic hit the world. Teachers need to use mobile technology devices widely to improve teaching effectiveness. This study aimed to explore the elements of teachers' acceptance of mobile technology as a learning alternative. The respondents consisted of 422 teachers in 24 secondary schools around Kedah, Malaysia. The results showed that teachers are impressed to integrate mobile technology based on three dimensions: effort expectancy, hedonic motivation, and habit. This situation reflects teachers' willingness to translate their pedagogical abilities through the medium of technology. It has also recognized that internal motivation and teachers' natural habits are the driving force behind integrating mobile technology as a teaching aid to digital technology. Thus, mobile technology is a trend of daily use and can be utilized as the most advanced pedagogical material to go through learning in the 21st century.