bluuebunny/crossref_metadata_2025_split huggingface dataset:
Academic Nurse-Managed Community Clinics Transitioning to Telehealth: Case Report on the Rapid Response to COVID-19
Authors: Sutter Rebecca , Cuellar Alison E , Harvey Megan , Hong Y Alicia 
Published: October 2020

Background
In response to the COVID-19 pandemic, many health care organizations have adopted telehealth. The current literature on transitioning to telehealth has mostly been from large health care or specialty care organizations, with limited data from safety net or community clinics.

Objective
This is a case report on the rapid implementation of a telehealth hub at an academic nurse-managed community clinic in response to the national COVID-19 emergency. We also identify factors of success and challenges associated with the transition to telehealth.

Methods
This study was conducted at the George Mason University Mason and Partners clinic, which serves the dual mission of caring for community clinic patients and providing health professional education. We interviewed the leadership team of Mason and Partners clinics and summarized our findings.

Results
Mason and Partners clinics reacted quickly to the COVID-19 crisis and transitioned to telehealth within 2 weeks of the statewide lockdown. Protocols were developed for a coordination hub, a main patient triage and appointment telephone line, a step-by-step flowchart of clinical procedure, and a team structure with clearly defined work roles and backups. The clinics were able to maintain most of its clinical service and health education functions while adapting to new clinic duties that arose during the pandemic.

Conclusions
The experiences learned from the Mason and Partners clinics are transferable to other safety net clinics and academic nurse-led community clinics. The changes arising from the pandemic have resulted in sustainable procedures, and these changes will have a long-term impact on health care delivery and training.
σ-derivations on generalized matrix algebras
Authors: Jabeen Aisha , Ashraf Mohammad , Ahmad Musheer 
Published: October 2020

Abstract
Let 𝒭 be a commutative ring with unity, 𝒜, 𝒝 be 𝒭-algebras, 𝒨 be (𝒜, 𝒝)-bimodule and 𝒩 be (𝒝, 𝒜)-bimodule. The 𝒭-algebra 𝒢 = 𝒢(𝒜, 𝒨, 𝒩, 𝒝) is a generalized matrix algebra defined by the Morita context (𝒜, 𝒝, 𝒨, 𝒩, ξ𝒨𝒩, Ω𝒩𝒨). In this article, we study Jordan σ-derivations on generalized matrix algebras.
A note on adaptivity in factorized approximate inverse preconditioning
Authors: Kopal Jiří , Rozložník Miroslav , Tůma Miroslav 
Published: October 2020

Abstract
The problem of solving large-scale systems of linear algebraic equations arises in a wide range of applications. In many cases the preconditioned iterative method is a method of choice. This paper deals with the approximate inverse preconditioning AINV/SAINV based on the incomplete generalized Gram–Schmidt process. This type of the approximate inverse preconditioning has been repeatedly used for matrix diagonalization in computation of electronic structures but approximating inverses is of an interest in parallel computations in general. Our approach uses adaptive dropping of the matrix entries with the control based on the computed intermediate quantities. Strategy has been introduced as a way to solve di cult application problems and it is motivated by recent theoretical results on the loss of orthogonality in the generalized Gram– Schmidt process. Nevertheless, there are more aspects of the approach that need to be better understood. The diagonal pivoting based on a rough estimation of condition numbers of leading principal submatrices can sometimes provide inefficient preconditioners. This short study proposes another type of pivoting, namely the pivoting that exploits incremental condition estimation based on monitoring both direct and inverse factors of the approximate factorization. Such pivoting remains rather cheap and it can provide in many cases more reliable preconditioner. Numerical examples from real-world problems, small enough to enable a full analysis, are used to illustrate the potential gains of the new approach.
Congruences of Sheffer stroke basic algebras
Authors: Senturk Ibrahim , Oner Tahsin , Saeid Arsham Borumand 
Published: October 2020

Abstract
In this paper, congruences and (order, prime and compatible) filters are introduced in Sheffer stroke basic algebras. They are interrelated with each other. Also some relationships between filters and congruences by focusing on their properties in these structures are given. In addition to these, a basic algebra is constructed by the help of compatible filter and 𝒜/ Θ (F). Moreover, a representation theorem for Sheffer stroke basic algebra by using prime filters and 𝒜/ Θ (F) is stated and proved.
The impact of ACE inhibitors on the risk of SARS-CoV-2 virus infection and the course of COVID-19 disease
Authors: Plech Tomasz 
Published: October 2020

Abstract
Invasion of SARS-CoV-2 virus into human cells is mediated by the interaction of viral particles with a specific protein – angiotensin-converting enzyme 2 (ACE-2). Due to the involvement of ACE-2 in blood pressure regulation, there have appeared reports of possible negative effects of taking some cardiological drugs during coronavirus pandemic. Some hypotheses suggest an increased risk of SARS-CoV-2 infection and more severe clinical course of COVID-19 in patients treated with angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers. In the face of contradictory information regarding this question, several societies of cardiology and hypertension have issued clinical recommendations for patients treated with the above-mentioned drugs. These recommendations conclude that there are no unambiguous data that would support the hypothesis about the negative effects of angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers on patients infected with SARS-CoV-2 virus. Therefore, it is highly recommended not to discontinue treatment in patients in whom these drugs lead to improvement in their clinical condition.
The Classification of Magic SET Squares
Authors: Chen Eric , Du William , Gupta Tanmay , Li Alicia , Mallajosyula Srikar , Raghavan Rohith , Sinha Arkajyoti , Smith Maya , Qian Matthew , Wang Samuel , Khovanova Tanya 
Published: October 2020

Abstract
A magic SET square is a 3 by 3 table of SET cards such that each row, column, diagonal, and anti-diagonal is a set. We allow the following transformations of the square: shuffling features, shuffling values within the features, rotations and reflections of the square. Under these transformations, there are 21 types of magic SET squares. We calculate the number of squares of each type. In addition, we discuss a game of SET tic-tac-toe.
Design and Manufacture of 6 Axis Force and Moments Transducers for Seaplane Floaters Test in Towing Tank
Authors: Nurhadi Nurhadi , Nasir Mochammad , Permana Chandra , Suwarni Endah 
Published: October 2020

To develop seaplanes as a means of inter-island transportation, it is necessary to have a simulation, testing, and analysis of force measurements that work so that the aircraft can be designed optimally in terms of function and safety.
To fulfill one type of test, the seaplane floater model is pulled in the Towing Tank to determine the hydrodynamic forces acting on the floater which include resistance (Fx), side force (Fy), lift force (Fz), and moments in all three axes. A method of measuring the force of 6 axis force and moment or 6 degrees of freedom (6 Degree of Freedom, 6 DOF) was built and designed by combining several single load cells so that these forces can be known optimally.
From the results of the 6 DOF transducer design, it is proven that it can be used well in measuring 6 forces and moments with force measurement errors ranging from 1.38%. The distance between the 6 DOF transducer capture point and the floater force capture point will affect the measured moment transformation.
Online formative assessment coupled with synchronous online learning: Insight from an Indian medical college
Authors: Mondal Himel , Mondal Shaikat 
Published: October 2020

Objectives:
During the coronavirus disease-19 pandemic, majority of the institutions have started distance education. Assessments are also being conducted online. Our question was about the interest of students in assessing their classroom learning by an online quiz. The aim of this study was to observe students’ participation pattern in online anonymous formative assessment immediately after synchronous 1-h online class.

Material and Methods:
We designed online quizzes with five questions related to the preceding class. In the last quarter of the 1-h class, we shared the quiz with the students. A total of 20 such classes were conducted. We recorded anonymous data on attendance, participation, time of participation, and obtained marks. The data were expressed in mean, standard deviation (SD), and percentage. Chi-square test, t-test, and ANOVA were used according to the data.

Results:
Among 100 1st-year medical students, average attendance in online classes (62.1 ± 13.5) was lower than the face-to-face 1-h lecture class (80.35 ± 13.01, t-test P < 0.001). Average 55.48% (34.45 ± 7.13) of the attendee participated in the online formative assessment. Approximately, students took 4¼ min to answer the online quiz (minimum 45, median 204, maximum 988, mean 255.76, and SD 154.96 sec). The quiz score was high among the students with 46.73% of the quiz participants scoring full marks.

Conclusion:
Nearly half of the students attending online classes opted for an anonymous, optional, and online self-assessment quiz. The online quiz is a quick method of formative assessment requiring only few minutes. Further, research should be conducted to find ways to increase participation among the students.
The Dynamics of Foreign Language Values in Sweden: A Social History
Authors: Gheitasi Parvin , Lindgren Eva , Enever Janet 
Published: October 2020

This paper gives an account of the history of foreign language values in Sweden from the seventeenth century to the present. The paper is informed by sociocultural standpoints on language and language learning according to which language is a dynamic tool that is appropriated by individuals to achieve particular purposes, and that dialogically creates and renews our social world(s). Since the sixteenth century, three languages (German, French and English) have been taught in Sweden as foreign languages during particular eras. In this paper, we explore how language value can be understood as a system that evolves over time as a result of triggers such as power, trade and personal benefits. The impact of these variables on Swedish society’s efforts to invest in learning a particular language during specific eras is critically examined from the perspectives of nested systems.
ANALYSIS OF CLINICAL PROFILE, AETIOLOGY, CLASSIFICATION AND OUTCOME OF INTERSTITIAL LUNG DISEASES AT A SINGLE CENTER OF SRI LANKA- A DESCRIPTIVE STUDY
Authors: Madegedara Dushantha , Rathnayake Saman , Bandara Asela 
Published: October 2020

Background: Interstitial lung diseases (ILD) comprise a diverse group of heterogeneous entities. Epidemiology, clinical profile and prognosis of interstitial lung diseases widely vary globally. Little data are available on ILD in Sri Lanka. Objective and methodology: A single center descriptive study conducted at Teaching hospital-Kandy, Sri Lanka among diagnosed ILD patients from 2007-2018. Demographic, clinical and radiological data were collected retrospectively to analyse clinical profile, aetiology, classification and outcome of interstitial lung diseases. Results: 302 subjects were analyzed (mean age 59.5 years, female 61.3%). Idiopathic interstitial pneumonias (IIP) were the commonest (42.3%, N=128) followed by secondary ILD due to known aetiologies(40.7%, N=123), hypersensitivity pneumonitis (14.6%, N=44) and sarcoidosis (2%, N=6). Majority of IIPs were nonspecific interstitial pneumonia (NSIP)(46.8%, N=60), followed by idiopathic pulmonary fibrosis (IPF)(28.1%, N=36). Majority of secondary ILDs were due to connective tissue diseases (87%, N= 107). Shortness of breath and cough were the commonest presenting symptoms, found in 271 (90.3%) and 250 (83.3%) patients respectively. High resolutions computerized tomography (HRCT) was performed in all, but histology was available in 54 (17.8%). Lung functions tests (LFT) were normal in 71 (26.3%), but demonstrated restrictive pattern in 182 (67.4%). Mean percentage predicated forced vital capacity (FVC) was 66.91 ± 18.7% while mean percentage predicted forced expiratory volume at 01 second (FEV1) was 69.92 ± 20.0%. Therewas no significant change in LFT during follow up. Infective exacerbations needing hospitalization was the commonest complication seen in 86 (40.3%). Data on follow up radiological investigations were noted in 143 (47.5%), in which 59 (41.2%) demonstrated radiological improvement, while 34 (23.7%) had progressive changes and 50 (34.9%) had HRCT changes similar to previous images. 184 patients were found surviving, while 43 were dead. Higher mean age, male gender, current or previous smoking, lower distance achieved at 6-minute walking test, or any history of hospitalizations due to infective exacerbations were noted to be associated significantly in patients with mortality. Conclusion: IIP and secondary ILDs were similar in prevalence in the cohort of diagnosed ILD patients from central Sri Lanka. Idiopathic NSIP outnumbered IPF in the sample.
Perbandingan Performansi Kinerja Algoritma Pengklasifikasian Terpandu Untuk Kasus Penyakit Kardiovaskular
Authors: Adi Nugroho  , Agustinus Bimo Gumelar  , Adri Gabriel Sooai  , Dyana Sarvasti  , Paul L Tahalele  
Published: October 2020

One of the health problems that occur in Indonesia is the increasing number of NCD (Non-Communicable Disease) such as heart attack and cardiovascular disease. There are two factors that cause cardiovascular disease, i.e. factor that can be changed and cannot be changed. This study aim to analyze the best performance of several classification algorithms such as k-nearest neighbors algorithm (k-NN), stochastic gradient descent (SGD), random forest (RF), neural network (NN) and logistic regression (LR) in classifying cardiovascular based on factors that caused those diseases. There are two aspects that need to be examined, the performance of each algorithm which is evaluated using the Confusion matrix method with the parameters of accuracy, precision, recall and AUC (Area Under the Curve). The dataset uses 425.195 samples from result data of cardiovascular disease diagnosed. The testing mode uses percentage split and cross-validation technique. The experimental results show that the performance of NN algorithms produces the best prediction accuracy compared to other algorithms, which is accuracy of 89.60%, AUC of 0.873, precision of 0.877, and recall of 0.896 using percentage split and cross-validation testing mode using Orange. For the accuracy of 89.46%, AUC of 0.865, precision of 0.875, and recall of 0.895 using cross-validation testing mode using Weka. By KNIME, the result of accuracy value is 88.55%, AUC value is 0.768, precision value is 0.854, and recall value is 0.886 using cross-validation testing mode.
EFEKTIFITAS PEMBINAAN KARAKTER GENERASI MUDA DALAM PRESEPSI TOKOH MASYARAKAT DAN PEMUDA
Authors: Tuhuteru Laros 
Published: October 2020

Penelitian ini bertolak dari permasalahan pokok bahwa dalam kenyataan sampai saat ini, belum ditemukan pola pembinaan karakter generasi muda pasca konflik sosial di kota Ambon secara efektif dilakukan, baik di keluarga, tokoh masyarakat, tokoh agama, tokoh pemuda, Organisasi sosial kemasyarakatan. Penelitian ini bertujuan untuk memahami sikap dan perilaku generasi muda Ambon pasca konflik sosial, sebagai solusi pembinaan karakter generasi muda.. Prosedur penelitian menggunakan pendekatan kualitatif, yang bersifat deskriptif dengan metode studi kasus. Teknik pengumpulan data dilakukan dengan cara (1) wawancara mendalam, (2) obsevasi langsung, dan (3) studi dokumentasi. Informan dipilih secara purposive dan data hasil penelitian diolah melalui proses reduksi, analisis secara deskriptif kualitatif. Setelah hasilnya dianalisis, maka ditemukan pola pembinaan karakter generasi muda kota Ambon pasca konflik sosial, evektif dilakukan dengan pendekatan budaya lokal, diantaranya; (1) kersama (makan patita), (2) kebebasan (pela gandong), (3) toleransi (ale rasa beta rasa), (4) nilai kerja sama (masohi), Artinya, indahnya suatu keharmonisan dalam kehidupan bermasyarakat apabila tidak terjadinya perselisihan antarpemuda, antarsuku, antaretnis, dan antaragama. Dari hasil temuan ini dapat disimpulkan bahwa pembinaan karakter generasi muda pasca konflik sosial, ditemukanlah berupa adanya sikap persaudaraan, kerja sama, toleransi, kerukunan, tanggung jawab, pengendalian diri, komunikasi yang santun dan saling menghargai. Karena itu direkomendasikan agar budaya lokal dapat digunakan sebagai program penyelengaraan pembinaan karakter generasi muda dan resolusi konflik sosial. khususnya bagi peningkatan sikap dan perilaku generasi muda berdasarkan akal dan pikiran yang rasional.
MOTIVASI BELAJAR SISWA SMP NEGERI 13 AMBON
Authors: Souisa Mieke , Huliselan Agustina 
Published: October 2020

Penelitian ini bertujuan untuk mengetahui dan mengkaji motivasi belajar penjas siswa SMP di Kota Ambon. Penelitian ini merupakan jenis penelitian deskriptif kualitatif, dengan variable penelitian adalah Motivasi belajar yang mempengaruhi peningkatan prestasi PJOK si sekolah menengah Pertama. Subjek dalam penelitian ini adalah siswa-siswi di SMP Negeri 13 Ambon yang berjumlah 13 siswa.
Berdasarkan uji hipotesis, maka hasil penelitian ini menunjukan bahwa SMP 13 Ambon Ambon dapat dikatakan terdapat 2 sampel memiliki motivasi belajar pada rata-rata, 4 sampel memiliki motivasi belajar di bawah rata-rata, sedangkan 7 sampel memiliki motivasi belajar di atas rata-rata. Jika di analisis dalam pengembangan indikator motivasi belajar siswa terbukti dari hasil presentasi indikator kemampuan berprestasi dan modifikasi gambaran diri lebih tinggi dari indikator yang lain sebesar 30 %. sedangkan terendah adalah kemampuan fisik dan teknik prestasi yang di raih sebesar 15 %, ini mengidikasikan bahwa motivasi belajar intrisik sangat besar dimiliki oleh siswa sedangkan pengembangan kemampuan fisik, yang diraih belum dimaksimalkan oleh siswa SMP 13 Ambon. Dengan demikiian guru sebagai motivator merupakan kunci utama pengembangan meningkatkan pemahaman belajar pembinaan secara terprogram.
Possibilities of predicting the rate of progression of liver fi brosis in patients with chronic hepatitis B
Authors: Usychenko K. M. 
Published: October 2020

According to recent WHO estimates, chronic HBV infection is one of the leading causes of death and disability in patients with infectious diseases. From 780 thousand to 1 million deaths are annually recorded in the world as a result of cirrhosis of the liver and hepatocellular carcinoma. Pathogenetic features of the course and outcomes of chronic hepatitis B are determined by the immunological, genetic factors of the host, as well as the molecular biological structure of the virus.The aimof the pilot study was to study the polymorphic loci of the cytokine genes SMAD 7 (rs4939827), TNFα (rs1800620), IL-10 (rs1800896), IL-4 (rs2243250) and the degree of structural changes in the liver based on the non-invasive Fibrotest technique in patients with chronic hepatitis B as part of a search for possible predictors of predisposition to the rapid progression of liver fi brosis.Material and methods.The pilot study included 41 patients with chronic hepatitis B. Assessment of morphological changes (stage of fi brosis) was carried out by the method of non-invasive diagnosis of Fibrotest, which is an alternative to puncture biopsy of the liver.Results.It has been suggested that homozygous SS alleles IL-4 (rs2243250), GG TNFα (rs1800620), SS SMAD family member 7 (rs4939827) have a protective eff ect on the course of chronic hepatitis B, as these variants of allelic polymorphism of cytokine genes were found mainly in patients with CHB with a degree of fi brosis F0-F1. The heterozygous genotypes CT IL-4 (rs2243250) and GA TNFα (rs1800620), the mutant homozygous TT genotype SMAD family member 7 (rs4939827) have a profi brotic eff ect on the course of chronic hepatitis B, as they are found mainly in patients with chronic hepatitis B with degree of fi brosis F3.Discussion.The established relationship between the liver fi brosis stage according to the METAVIR scale and the polymorphism of the cytokine genes SMAD 7 (rs4939827), TNFα (rs1800620) and IL-4 (rs2243250) made it possible to create a prognostic scale for assessing the individual risk of rapid progression of liver fi brosis. The proposed scale, due to a comprehensive assessment of the polymorphism of cytokine gene alleles and the stage of liver fi brosis using the METAVIR scale, makes it possible to carry out an individual assessment of the risk of progression of chronic hepatitis and, possibly, draw up a personalized treatment plan for the patient. Coding of the studied polymorphisms and subsequent counting can be automated, which does not require signifi cant fi nancial investments.
Penerapan Metode Saving Matrix Dan Algoritma Nearest Neighbor Dalam Menentukan Rute Distribusi Untuk Meminimalkan Biaya Transportasi Pada PT. XYZ
Authors: Perdana Viva Arfana , Hunusalela Zenny Fatimah , Prasasty Aliffia Teja 
Published: October 2020

PT. XYZ is a manufacturing industry company engaged in drinking water, this company still has problems in its distribution, the existence of undirected shipping or waste of transportation distribution costs for shipping in several regions because shipping in the area uses only one vehicle at each destination resulting in delivery distance getting longer. Therefore, this research was conducted to improve distribution costs using the saving matrix method and the nearest neighbor algorithm. The results of the company's distribution costs are Rp. 18,940,924 / month after using this method the distribution cost becomes Rp. 16,302,392 / month and with the saving matrix method and the nearest neighbor algorithm, it saves 16% of the cost proposed by the company.PT. XYZ adalah perusahaan industri manufaktur yang bergerak dibidang air minum, perusahaan ini masih terdapat permasalahan dalam distribusinya, adanya pengiriman yang tidak terarah atau pemborosan biaya distribusi transportasi untuk pengiriman beberapa daerah dikarnakan pengiriman di daerah tersebut hanya menggunakan satu kendaraan pada masing masing tujuan yang mengakibatkan jarak pengiriman semakin panjang. Sebab itu penelitian iniÂ dilakukan guna memperbaiki biaya distribusinya menggunakan metode saving matrix dan algoritma nearest neighbor. Hasil biaya distribusi perusahaan yaitu Rp. 18.940.924 / bulan setelah menggunakan metode tersebut biaya distribusinya menjadi Rp. 16.302.392 / bulan serta dengan metode saving matrix dan algoritma nearest neighbor jadi lebih menghemat 16% dari biaya yang diusulkan dari perusahaan.