bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing ClinFIT COVID-19
Authors: Selb Melissa , Stucki Gerold , Li Jianan , Mukaino Masahiko , Li Leonard , Gimigliano Francesca 
Published: October 2021

Introduction:
Health systems worldwide are challenged to address the health-care needs of persons with COVID-19. After the immediate need to mitigate the spread of COVID-19 and scale up relevant health-care capacities, one major challenge has emerged – scaling up rehabilitation to address the functioning limitations experienced by COVID-19 patients/survivors. To meet this challenge, the International Society of Physical and Rehabilitation Medicine (ISPRM) endeavors to develop a tool for the assessment and reporting of functioning of COVID-19 patients/survivors – “ClinFIT COVID- 19” to assist health professionals to optimally address patients' health-care needs. The first step in the development process is identifying the International Classification of Functioning, Disability, and Health (ICF) categories that ClinFIT COVID-19 should cover for acute, postacute, and long-term settings.

Methods:
The multistep process to develop the ClinFIT COVID-19 category list involved the development of a proposed list of ICF categories, a survey of ISPRM members worldwide about the proposed category list, and a postsurvey consultation with the ISPRM ClinFIT Task Force.

Results:
The final category list for the acute care context contains the seven categories provided to the survey participants (energy/drive functions, sleep, emotional functions, pain, exercise tolerance functions, carrying out daily routine, and walking) plus six categories related to respiration, mobility, and cognition. The postacute and long-term care versions also contain the seven categories plus additional categories relevant for the specific context. The postacute version contains 15 categories and the long-term 16 categories.

Conclusions:
To advance the next steps, the leaders of ISPRM and the Task Force call national and international societies of rehabilitation professionals to join this coordinated effort.
Frequency of home visits where general practitioners are exposed to a problem different from that foreseen – a Swiss cross-sectional study
Authors: Meuli Nina , Jungo Katharina Tabea , Merlo Christoph , Streit Sven , Essig Stefan 
Published: October 2021

BACKGROUND: When a home visit is considered, patients’ suspected health problems are important for correct triage, the decision for or against the visit and allocation of the visit to a general practitioner (GP) or a nurse practitioner. Misjudgment might lead to suboptimal patient outcomes.
OBJECTIVE: We aimed to evaluate the accuracy of suspected health problems (based on pre-visit assessments) by comparing them with the actual health problems (post-visit assessments) and investigating associated factors.
METHODS: GPs of the Swiss Sentinel Surveillance Network (Sentinella) reported pre-visit and post-visit assessments and patient characteristics for up to 20 consecutive home visits, which they conducted in 2019. Using multivariable logistic regressions, we investigated associations between patient and clinical factors and unconfirmed suspected health problems from pre-visit assessments and unforeseen actual health problems from post-visit assessments.
RESULTS: Overall, 114 GP practices participated. The GPs reported 1496 patient visits with a total of 1789 and 1762 health problems from pre-visit and post-visit assessments, respectively, that were included in the analysis. Musculoskeletal and circulatory problems were the most common in patients receiving home visits. The health problems from pre-visit and post-visit assessments were unconfirmed and unforeseen in15% and 13% of the cases, respectively. Older age (odds ratio [OR] 1.1 in 10-year steps; 95% confidence interval [95% CI] 1.0–1.3) and urgent visits (OR 1.7 compared with regular visits; 95% CI 1.1–2.6) showed a trend for more unforeseen health problems.
CONCLUSION: When home visits were conducted, about one out of seven health problems from pre-visit and post-visit assessments were unconfirmed and unforeseen. Particularly when patients were older or visits were urgent, there were higher odds of unconfirmed and unforeseen health problems.These results should be considered when triaging patients.
Non-Archimedean volumes of metrized nef line bundles
Authors: Boucksom Sébastien , Gubler Walter , Martin Florent 
Published: October 2021

Let $L$ be a line bundle on a proper, geometrically reduced scheme $X$ over a non-trivially valued non-Archimedean field $K$. Roughly speaking, the non-Archimedean volume of a continuous metric on the Berkovich analytification of $L$ measures the asymptotic growth of the space of small sections of tensor powers of $L$. For a continuous semipositive metric on $L$ in the sense of Zhang, we show first that the non-Archimedean volume agrees with the energy. The existence of such a semipositive metric yields that $L$ is nef. A second result is that the non-Archimedean volume is differentiable at any semipositive continuous metric. These results are known when $L$ is ample, and the purpose of this paper is to generalize them to the nef case. The method is based on a detailed study of the content and the volume of a finitely presented torsion module over the (possibly non-noetherian) valuation ring of $K$.Comment: Published version, 34 pages
Publishing open-access bibliographical data on Ancient Greek and Latin texts: challenges, constraints, progression
Authors: Giovacchini Julie , Capron Laurent 
Published: October 2021

Version soumise et acceptée pour publication dans le JDMDH
We present here both some of our thoughts on methodology in relation to the specific constraints that complexify the ways of structuring and accessing bibliographical data in the Sciences of Antiquity, and the solutions adopted by the IPhiS-CIRIS project for dealing with these constraints. The project began in 2014 in a general scientific environment that was still being standardised and structured, with digital bibliographical resources in this disciplinary field becoming increasingly numerous, although of uneven quality and hard to access and/or private.
Advokasi UU ITE:Peningkatan Kewaspadaan Guru Terhadap Serangan Cyberbullying Antar Peserta Didik Di Gugus II Harjuno (Pengabdian Masyarakat pada Gugus II Harjuno Surakarta)
Authors: Nastiti Faulinda Ely , Prastyanti Rina Arum , Srirahayu Agustina 
Published: October 2021

Undang Undang Informasi dan Transaksi Elektronik (atau biasa disebut dengan UU ITE) adalah undang undang yang mengatur mengenai teknologi informasi secara umum. Undang undang ini penting untuk dipahami bagi siapapun. Perkembangan teknologi melahirkan bentuk-bentuk perbuatan hukum baru seperti halnya cyberbullying. Cyberbullying dan pelanggaran UU ITE justru lebih banyak terjadi pada usia anak-anak hingga remaja. Kebebasan penggunakan internet serta kebebasan berpendapat yang salah, menyebabkan utama anak-anak dan remaja ini tanpa sadar telah melanggar hukum. Hal ini terjadi karena kurangnya pengetahuan tentang UU ITE. Melalui kegiatan pengabdian kepada masyarakat ini diharapkan, melalui para guru anak-anak serta orangtua mendapatkan sosialisasi dan pendampingan etika pemanfaatan intenet dengan bijak.
Pengukuran Mutu Website Akademi Komunitas Negeri Pacitan Menggunakan Metode Webqual
Authors: Permadi Galih , Prianggono Agus 
Published: October 2021

Perkembangan dunia digital terutama pada portal website semakin meningkatkan peranan website bagi dunia informasi. Website merupakan salah satu media informasi yang sangat efisien, cepat, akurat dan tepat. Kita ketahui bahwa hampir semua instansi pemerintahan, perusahaan, perkantorani, universitas, sekolah, toko, bahkan perusahaan individu pun hampir semua memiliki website sebagai media promosi maupun informasi. Penelitian ini membahas tentang pengukuran mutu Website Akademi Komunitas Negeri (AKN) Pacitan menggunakan metode Webqual 4.0. Tujuan dari penelitian ini adalah untuk mengetahui variabel Webqual 4.0 yang mempengaruhi mutu Website AKN Pacitan dan memberikan saran untuk perbaikan mutu website dimasa yang akan datang agar sesuai dengan harapan pengguna. Penelitian ini dilakukan dengan menggunakan metode kuantitatif dengan cara penyebaran kuesioner, dengan jumlah 120 responden. Teknik analisis data dilakukan menggunakan teknik Structural Equation Model (SEM). Tools yang digunakan dalam penelitian ini yaitu SmartPLS 2.0 sebagai alat bantu PLS. Hasil penelitian ini menunjukkan bahwa diperoleh nilai R Square untuk variabel User Satisfaction sebesar 0.677, yang artinya nilai tersebut mengindikasikan bahwa variabel User Satisfaction dapat dijelaskan oleh variabel Kegunaan (Usability), Kualitas Informasi (Information Quality), dan Kualitas Layanan (Service Interaction) sebesar 67.7 %, sedangkan sisanya yaitu sebesar 32.3 % dipengaruhi oleh variabel lain yang tidak terdapat dalam model penelitian. Aspek-aspek ini dapat diperbaiki sesuai dengan rekomendasi yang diperoleh dari analisis data di dalam penelitian ini.
Evaluasi Hasil Produksi Dengan Metode Pengendali Mutu C-Chart Dan U-Chart Di Pabrik Generator Sets PT ABC
Authors: Saputro Daniel Tunggono , Kustanto Kustanto 
Published: October 2021

Perusahaan Generator Sets (Genset) PT ABC yang didirikan beberapa tahun lalu telah memproduksi genset yang sudah cukup banyak. Dengan kapasitas produksi sekitar 1000 pcs genset setiap tahunnya, maka diperlukan analisa dan evaluasi terhadap hasil produksi gensetnya. Diperlukan sebuah Tindakan agar perusahan semakin maju dan berkembang agar dapat terus berkompetisi di dunia usaha bisnis genset. Hasil produksi genset yang siap dijual harus mempunyai kualitas yang baik dan reliable (tahan lama). Dikarenakan komponen genset yang cukup banyak sehingga dalam memproduksi genset harus memerlukan keahlihan dan ketelitian yang baik sehingga hasil produksi genset tidak mengalami cacat produksi. Cacat dalam pengelasan, cacat dalam merangkai kabel, dlldapat terjadi dalam memproduksi genset. Digunakan metode pengendali mutu C-chart dan U-chart dalam mengevaluasi hasil produksi yang dihasilkan. Dengan kedua metode tersebut dapat terlihat apakah hasil produksi masih dalam batas yang terkendali atau sudah di luar batas kendali.
INTERAÇÕES MEDICAMENTOSAS POTENCIAIS E POLIFARMÁCIA EM PRESCRIÇÕES DE PACIENTES ACOMPANHADOS POR FARMACÊUTICOS CLÍNICOS EM UNIDADES DE TERAPIA INTENSIVA
Authors: Santos Beatriz da Silva , Santana Tamiles Daiane Borges , Mascarenhas Ana Mércia Silva , Silva Manoela dos Santos , Barbosa Alaine Azevedo , Souza Bianca Oliveira , Miranda Danilo Bomfim , Oliveira Dara Evinny Santos de , Lemos Gisele da Silveira 
Published: October 2021

A interação medicamentosa potencial (IMP) ocorre quando um medicamento modifica a intensidade dos efeitos farmacológicos de outro, aumentando ou diminuindo o resultado esperado da farmacoterapia, sendo sua ocorrência mais frequente na presença de polifarmácia. Este estudo teve como objetivo avaliar a presença de polifarmácia e IMP em prescrições de pacientes, acompanhados por farmacêuticos clínicos, internados em Unidade de Terapia Intensiva. Trata-se de um estudo transversal, descritivo, realizado em hospital público de referência regional com coleta referente ao período de julho a dezembro de 2019. Foram analisadas 102 prescrições, com um total de 1717 medicamentos, média de 16,8 medicamentos por prescrição. Observou-se 100% de polifarmácia, sendo 97,1% polifarmácia excessiva. Identificou-se 913 IMP, apresentando uma mediana de 7 IMP por prescrição. Quanto aos fármacos de maior frequência em IMP prevaleceram os subgrupos Fenilpiperidina 11,2%, Benzodiazepina 11%, Propulsivos 10,6% e Insulinas e análogos para injeção, ação rápida 6,9%, com envolvimento dos seguintes fármacos: Fentanila, Midazolam, Metoclopramida e Insulina Regular Humana. No que diz respeito às características sociodemográficas e clínicas dos pacientes, houve predomínio de sexo masculino (52,5%), com idade > 60 anos (55,4%), raça parda (94,0%). Com relação a comorbidades prevaleceu a Hipertensão Arterial Sistêmica (67, 8%) e Diabetes Mellitus (39,0%). Foi possível identificar um grande número de medicamentos prescritos, com presença da polifarmácia excessiva e uma frequência elevada de IMP, isso mostra que monitorar os pacientes em UTI é importante e necessário, e deve ser realizado por equipe multiprofissional, com inclusão do Farmacêutico clínico.
Isolation and Evaluation of Clinically Important Acinetobacter Baumannii From Intensive Care Unit Samples
Authors: Sehree Mohamed Mowfik , Abdullah Hanaa N. , Jasim Amani M. 
Published: October 2021

Acinetobacter baumannii is considered a critical healthcare problem for patients in intensive care units due to its high ability to be multidrug-resistant to most commercially available antibiotics. The current study is at aimed at isolating and identifying the clinical isolates of A. baumannii from different samples and investigating the antibiotic resistance of isolates. Isolation and diagnosis of bacteria were achieved by conventional techniques, including routine and selective culture media (Chrome agar), biochemical test, EPI 20E, and VITEK-2. These methods were basically considered as a gold standard for identification of A. baumannii infections from different clinical sources, and culture positive isolates were tested for antibiotic susceptibility using a modified Kirby–Bauer method. A total of 375 clinical specimens were collected from different infections in some hospitals in Mosul and Erbil cities/Iraq from Sep 2020 to Jan 2021. Overall, 41 isolates were identified as A. baumannii using conventional and biochemical methods, and then confirmed by VITEK-2 system. Our results established that only 41(14.4%) isolates were diagnosed as A. baumannii, and most of these isolates were from burns (36.5%), surgical wounds (34.1%), and sputum (14.6%). However, it was identified in CSF, blood, and urine samples with lower percentages (7.3%, 4.8%, and 2.4%, respectively). The clinical isolates of A. baumannii showed high to moderate resistance to Piperacillin (97.5%), Piperacillin/ Tazobactam., Ceftazidime (87.8%), Meropenem (85.3%), Tri/slphamethoxazole (82.9%), Levofloxacin (80.4%), Imipenem, Ciprofloxacin (78%), Gentamycin (75.6%), Amikacin (73.1%), Netilmicin (68.2%), Tobramycin (60.9%) and Tetracycline (31.7%). However, two antimicrobial agents which were Colistin and Tigecycline produced 0 and 2.4 % resistance to A. baumannii respectively, which were considered the most used choices to treat A. baumannii infections.
The current findings suggest that automated Vitek 2 system is the most common method to accurately detect the isolates and evaluate multi-drug resistant A. baumannii among patients.
Design and Implementation of Multifunction Relay Based on Microcontroller
Authors: Hameed Ali Abdulsattar , Sultan Ahmed Jasim , Booneya Mehdi F. 
Published: October 2021

The power systems are exposed to many abnormal conditions, so an advanced protection system must be provided to stand up to these challenges. Protection devices evolved continuously with the development of power systems. The accuracy, high response, reliability, and speed of fault detection are required in the operating mode of multi-function protective relays. A Multifunction Relay has been designed and implemented, which consists of three types of relays: over current relay OCR, over/under voltage relay OVR/UVR, and differential relay DFR. The relays OCR, OVR/UVR, and DFR are designed according to the standards IEC 60255, IEEE 1159, and IEEE C37.91, respectively, based on Arduino MEGA. The multi-function relay was implemented to work on a single phase.
The setting of the multi-function relay configuration done using a new design based on the MATLAB GUI environment. Furthermore, the results obtained after each test appear on it and LCD screen. The multi-function relay which is designed can work as (OCR, OVR/UVR, DFR) in the case of a single-phase source.
The experiential results show that the proposed multi-function relay is accurate, fast response, reliable, selective, good performance, low cost, and sensitivity when used to protect the power system equipment under different operating conditions.
AGC Including ELD and Emission Coordination Using Sine Cosine Algorithm
Authors: Oleiwi Ahmed Oday , Sultan Ahmed Jasim 
Published: October 2021

The aim of conventional AGC is to regulate the demand load of the area with taking into account the sharing power with the others area and also the frequency deviation and tie-line power deviation within minimum error steady-state. The proposed coordination's goal is to regulate the demand load between the interconnected area when taking into account the optimal dispatch and emission effect. The two-area that be consist of three units in each one (hydro, thermal, and gas) is used of proposed system. The optimization algorithms were used to find the best operating point of the system by tuning the integral gain are located in ACE that named primary control and Generation allocation logic named secondary controller. The Particle Swarm Optimization (PSO) and Sine Cosine Algorithm (SCA) are used to tune gains of the integral (I) controller to show the superiority in identifying robust controller. The simulation results prove that the SCA with proposed coordination is very effectiveness as compared with PSO algorithm in enhance the dynamic performance and reduce overshoot, maximum frequency deviation, and net tie line power flow deviation error for a given load change and disturbed the demand load between two-area as economic.
Application of modal and harmonic analysis to predict the automotive transmission vibration at an early stage of design
Authors: Novikov D. S. 
Published: October 2021

Introduction (problem statement and relevance). The need to increase the operating speeds and input torque of automobile transmissions because of their vibration is becoming a more and more urgent problem.The purpose of the study was to substantiate the applicability of harmonic analysis, which makes it possible to determine the actual values of vibration values during a steady oscillatory process, for the initial assessment of the gearbox vibration activity.Methodology and research methods. The calculation of the gearbox vibration activity was carried out by modal and harmonic analyses, implemented by the finite element method, and followed by the experimental study of gearbox vibration on a test bench.Scientific novelty and results. The presented experimental and calculated results of the research show that the difference between the experimental and calculated values is no more than 4.2%. This proves the possibility of applying modal and harmonic analysis to predict the gearbox vibration state at an early stage of product design at the stand.Practical significance. The given calculation algorithm makes it possible to predict, with a sufficient degree of accuracy, the vibration of the gearbox before the manufacture of a prototype in experimental production.
Training neural networks for automotive computer vision systems considering types of false estimations
Authors: Vasin P. A. , Kulikov I. A. 
Published: October 2021

Introduction (problem statement and relevance). This article deals with the problem of training artificial neural networks intended to analyze images of the surrounding space in automotive computer vision systems. The conventional training approach implies using loss functions that only improve the overall identification quality making no distinction between types of possible false predictions. However, traffic safety risks associated with different types of prediction errors are unequal being higher for false positive estimations.The purpose of this work is to propose improved loss functions, which include penalties for false positive predictions, and to study how using these functions affects the behavior of a convolutional neural network when estimating the drivable space.Methodology and research methods. The proposed loss functions are based on the Sørensen-Dice coefficient differing from each other in the approaches to penalizing false positive errors. The performance of the trained neural networks is evaluated using three metrics, namely, the Jaccard coefficient, False Positive Rate and False Negative Rate. The proposed solutions are compared with the conventional one by calculating the ratios of their respective metrics.Scientific novelty and results. The improved loss functions have been proposed to train computer vision algorithms featuring penalties for false positive estimations. The experimental study of the trained neural networks using a test dataset has shown that the improved loss functions allow reducing the False Positive Rate by 21%.The practical significance of this work is constituted by the proposed method of training neural networks that allows to increase the safety of automated driving through an improved accuracy of analyzing the surrounding space using computer vision systems.
Effective indicators of a hydrogen engine operating on a lean mixture and equipped with a modified fuel supply system
Authors: Kavtaradze R. Z. , Sun B. , Golosov A. S. , Chen Zh. , Chzhan Ts. , Chilashvili G. V. 
Published: October 2021

Introduction (problem statement and relevance). Limited oil reserves and tightening environmental standards are forcing engine manufacturers to switch to alternative fuels in the near future, among which hydrogen is the most promising. The advantages of hydrogen are high specific heat of combustion and high combustion rate. Wide concentration limits of hydrogen combustion make it possible to use high-quality power control, thereby providing an increase in the efficiency of a hydrogen engine when compared to the basic internal combustion engine.The purpose of the study was to ensure the operation of a serial gasoline engine running on hydrogen with a new experimental fuel supply system, as well as the modification of the intake manifold design without abnormal phenomena during combustion when operating on a lean mixture, and to obtain efficient and ecological characteristics of a hydrogen engine under bench test conditions, as a result.Methodology and research methods. The work is experimental, the reliability of the results obtained is confirmed by the use of modern means for measuring and processing experimental data. The obtained results of measuring nitrogen oxides are adequate to the known Zel'dovich thermal mechanism. The value of the results lies in the fact that they show the feasibility of transferring serial internal combustion engines to hydrogen; in addition, these results are used to develop and verify mathematical 3D models of the hydrogen engine working process.Scientific novelty and results. A new system providing the necessary characteristics (pressure, duration and cycle dose) for supplying hydrogen to the intake system with two injectors for each cylinder was designed, installed and tested on the prototype engine.Practical significance. The expediency of the working cycle creation and efficiency of a hydrogen engine with an experimental lean-burn fuel supply system was confirmed, which made it possible to provide high-quality power control with external mixture formation and forced ignition.