bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vitamin D deficiency among patients with COVID-19: case series and recent literature review
Authors: Pinzon Rizaldy Taslim , Angela  , Pradana Andryawan Wahyu 
Published: December 2020

Abstract
Background
The world is now challenging the pandemic of COVID-19 infection. This is the third and most extensive pandemic. Previous studies showed the plausibility of vitamin D prophylaxis and therapy for COVID-19, particularly in settings where hypovitaminosis D is frequent. Recent study from Indonesian showed that the prevalence of vitamin D deficiency was 23.0%. The examination of vitamin D status is not a routine in the Indonesian clinical setting.

Methods
This study is a case series from confirmed cases of COVID-19 in Bethesda Hospital Yogyakarta Indonesia. The data of clinical symptoms, signs and laboratory examinations were obtained from the electronic medical records. The vitamin D status was measured by Enzyme-Linked Fluorescent Assay (ELFA) method. We searched PubMed and Google Scholar for studies that included terms for Vitamin D and COVID-19.

Results
The data were obtained from 10 participants consisting of 50% male and 50% female. The mean age was 49.6 years. The prevalence of vitamin D deficiency in this study was 90% (vitamin D levels < 20 ng/mL) and 10% of insufficiency (vitamin D levels < 30 ng/mL). Patients in this study had various symptoms such as fatigue (60%), fever (50%), dry cough (40%), non-specific headache (10%), and diarrhea (10%); have no symptoms (20%); and also had the various chronic diseases as comorbidity such as hypertension (40%), diabetes (10%), COPD (10%), and post stroke (10%).

Conclusions
All of the COVID-19 patients in this study had hypovitaminosis D. The prevalence of vitamin D deficiency in this case series is 90% and only 1 patient (10%) had vitamin D insufficiency. There are many health benefits of vitamin D and very few adverse effects. Randomized controlled trials need to determine and evaluate this recommendation in preventing or treating COVID-19. Clinicians should continue to treat people with vitamin D deficiency especially in managing COVID-19 patients.
Insect resistance management in Bacillus thuringiensis cotton by MGPS (multiple genes pyramiding and silencing)
Authors: ZAFAR Muhammad Mubashar , RAZZAQ Abdul , FAROOQ Muhammad Awais , REHMAN Abdul , FIRDOUS Hina , SHAKEEL Amir , MO Huijuan , REN Maozhi 
Published: December 2020

AbstractThe introduction ofBacillus thuringiensis(Bt) cotton has reduced the burden of pests without harming the environment and human health. However, the efficacy of Bt cotton has decreased due to field-evolved resistance in insect pests over time. In this review, we have discussed various factors that facilitate the evolution of resistance in cotton pests. Currently, different strategies like pyramided cotton expressing two or more distinct Bt toxin genes, refuge strategy, releasing of sterile insects, and gene silencing by RNAi are being used to control insect pests. Pyramided cotton has shown resistance against different cotton pests. The multiple genes pyramiding and silencing (MGPS) approach has been proposed for the management of cotton pests. The genome information of cotton pests is necessary for the development of MGPS-based cotton. The expression cassettes against various essential genes involved in defense, detoxification, digestion, and development of cotton pests will successfully obtain favorable agronomic characters for crop protection and production. The MGPS involves the construction of transformable artificial chromosomes, that can express multiple distinct Bt toxins and RNAi to knockdown various essential target genes to control pests. The evolution of resistance in cotton pests will be delayed or blocked by the synergistic action of high dose of Bt toxins and RNAi as well as compliance of refuge requirement.
Identification of candidate genes controlling fiber quality traits in upland cotton through integration of meta-QTL, significant SNP and transcriptomic data
Authors: XU Shudi , PAN Zhenyuan , YIN Feifan , YANG Qingyong , LIN Zhongxu , WEN Tianwang , ZHU Longfu , ZHANG Dawei , NIE Xinhui 
Published: December 2020

AbstractBackgroundMeta-analysis of quantitative trait locus (QTL) is a computational technique to identify consensus QTL and refine QTL positions on the consensus map from multiple mapping studies. The combination of meta-QTL intervals, significant SNPs and transcriptome analysis has been widely used to identify candidate genes in various plants.ResultsIn our study, 884 QTLs associated with cotton fiber quality traits from 12 studies were used for meta-QTL analysis based on reference genome TM-1, as a result, 74 meta-QTLs were identified, including 19 meta-QTLs for fiber length; 18 meta-QTLs for fiber strength; 11 meta-QTLs for fiber uniformity; 11 meta-QTLs for fiber elongation; and 15 meta-QTLs for micronaire. Combined with 8 589 significant single nucleotide polymorphisms associated with fiber quality traits collected from 15 studies, 297 candidate genes were identified in the meta-QTL intervals, 20 of which showed high expression levels specifically in the developing fibers. According to the function annotations, some of the 20 key candidate genes are associated with the fiber development.ConclusionsThis study provides not only stable QTLs used for marker-assisted selection, but also candidate genes to uncover the molecular mechanisms for cotton fiber development.
Multimodality molecular imaging of the alveolar-capillary barrier in lung disease using albumin based optical and PET tracers
Authors: Molotkov Andrei , Bhatt Nikunj , Doubrovin Mikhail , Castrillon John , Massa Christopher , Gerber Adam , D’Armiento Jeanine , Goldklang Monica , Mintz Akiva 
Published: December 2020

AbstractInflammatory changes caused by viruses, bacteria, exposure to toxins, commonly used drugs and even surgical intervention have the potential of causing abnormal epithelial permeability, which is manifest as infiltrative processes on computed tomography (CT), including the widespread infiltrates seen in COVID-19 pneumonia and acute respiratory distress syndrome (ARDS). We utilized a previously published mouse model of ARDS, intranasal delivery of LPS, to induce the alveolar-capillary barrier permeability seen in lung disease. We intravenously injected mice with Cy7 or 68-Gallium (68Ga) labeled mouse albumin and imaged using optical imaging (OI)/CT and PET. We observed significantly increased lung levels of Cy7-albumin on 3D OI/CT, which matched the abnormal appearance on microCT. This uptake correlated with fluorescence seen on sectioned lungs. To examine the translational potential of these findings, we radiolabeled albumin with 68Ga. We found that in mice with LPS-induced lung injury, 68Ga-albumin PET correlated with our optical imaging findings and demonstrated abnormal activity in the lung fields, indicative of abnormal epithelial permeability. These findings indicate 68Ga-albumin can be utilized as a sensitive translational radiotracer for quantifying the abnormal epithelial permeability that is seen in various lung pathologies, including COVID-19 induced pneumonia and ARDS. The ability to use Cy7-albumin 3D OI/CT imaging as a preclinical translational surrogate for 68Ga-albumin offers an accessible high throughput means to rapidly screen potential therapeutics against lung diseases that clinically manifest with endothelial permeability.
Evaluation method for low- to ultralow-permeability reservoirs based on pore-throat structure: A case study in the eastern Nanpu Sag, Bohai Bay Basin, China
Authors: Zhao Xiaodong , Wang Shilin , Yang Jingxu , Zhang Boming , Li Liang , Liu Xiao , Wen Wen , Zhang Yaxuan 
Published: December 2020

The pore-throat structure of low- to ultralow-permeability reservoirs is complex, causing the permeability to vary greatly under similar porosity conditions. Moreover, the pore-throat structures are the key factors that controled the physical properties of such kind of reservoirs. Therefore, conventional reservoir evaluation methods can hardly meet the research needs of low- to ultralow-permeability reservoir exploration and development. We have conducted our research on Paleogene Shahejie and Neogene Dongying low- to ultralow-permeability reservoirs in the eastern Nanpu Sag of the Bohai Bay Basin to address this issue. Cores, thin sections, and scanning electron microscopy were used to analyze the pore-throat structures to determine the characteristics of low- to ultralow-permeability reservoirs, and a new parameter for evaluating low- to ultralow-permeability reservoirs is developed. The results of this research show that primary pores, secondary pores, and microfractures are developed in the study area and that the pore-throat shape is mainly flaky or curved flaky. The microscopic pore-throat structure controlled the reservoir physical properties and fluid mobility of these reservoirs, the permeabilities of these reservoirs are dependent on the pore throats, and the correlation between connected pores and permeability is strong. Based on the analysis of the pore-throat structure, as well as the maximum mercury saturation (Smax) and the residual mercury saturation (Sr) at the maximum pressure and the minimum pressure obtained by the mercury injection test, an evaluation of the reservoir by using the mobility parameter of fluid (Δfm = Smax-Sr) is proposed, and the pore-throat radius R15 obtained by the mercury intrusion experiment has the best correlation with the fluid mobility parameters. The mobility parameters of fluid can effectively improve the accuracy of logging interpretation of low- to ultralow-permeability reservoirs and provide a scientific basis for the scale stimulation and effective development of low- to ultralow-permeability reservoirs.
Endothelial Cell–Derived Triosephosphate Isomerase Attenuates Insulin Secretion From Pancreatic Beta Cells of Male Rats
Authors: Daniel Bareket , Livne Ariela , Cohen Guy , Kahremany Shirin , Sasson Shlomo 
Published: December 2020

Abstract
Insulin secretion from pancreatic beta cells is tightly regulated by glucose and paracrine signals within the microenvironment of islets of Langerhans. Extracellular matrix from islet microcapillary endothelial cells (IMEC) affect beta-cell spreading and amplify insulin secretion. This study was aimed at investigating the hypothesis that contact-independent paracrine signals generated from IMEC may also modulate beta-cell insulin secretory functions. For this purpose, conditioned medium (CMp) preparations were prepared from primary cultures of rat IMEC and were used to simulate contact-independent beta cell–endothelial cell communication. Glucose-stimulated insulin secretion (GSIS) assays were then performed on freshly isolated rat islets and the INS-1E insulinoma cell line, followed by fractionation of the CMp, mass spectroscopic identification of the factor, and characterization of the mechanism of action. The IMEC-derived CMp markedly attenuated first- and second-phase GSIS in a time- and dose-dependent manner without altering cellular insulin content and cell viability. Size exclusion fractionation, chromatographic and mass-spectroscopic analyses of the CMp identified the attenuating factor as the enzyme triosephosphate isomerase (TPI). An antibody against TPI abrogated the attenuating activity of the CMp while recombinant human TPI (hTPI) attenuated GSIS from beta cells. This effect was reversed in the presence of tolbutamide in the GSIS assay. In silico docking simulation identified regions on the TPI dimer that were important for potential interactions with the extracellular epitopes of the sulfonylurea receptor in the complex. This study supports the hypothesis that an effective paracrine interaction exists between IMEC and beta cells and modulates glucose-induced insulin secretion via TPI–sulfonylurea receptor–KATP channel (SUR1-Kir6.2) complex attenuating interactions.
A Review on the Role of Machine Learning in Agriculture
Authors: Veeragandham Syamasudha , H Santhi 
Published: December 2020

Machine learning is a promising domain which is widely used now a days in the field of agriculture. The availability of manpower for agriculture is not enough and skill full farmers are less. Understanding the situation of the crop is not that much easy to detect and prevent the diseases in the crop. It is also widely employed in various agricultural fields such as topsoil management, yield management, water management, disease management and climate conditions. The machine learning models facilitate very fast and optimal decisions. The model of machine learning involves with training and testing to predict the accuracy of the result. The use of machine learning in agriculture helps to increase the productivity and better management on soil classification, disease detection, species management, water management, yield prediction, crop quality and weed detection. This article aims at providing detailed information on various machine learning approaches proposed in the past five years by emphasizing the advantage and disadvantages. It also compares different machine learning algorithms used in the modern agricultural field.
NVIDIA GPU Performance Monitoring using an Extension for Dynatrace OneAgent
Authors: Gajger Tomasz 
Published: December 2020

This work presents a Dynatrace OneAgent extension for gathering NVIDIA GPU metrics using NVIDIA Management Library (NVML). The extension integrates GPU metrics into an industry-leading platform for Application Performance Management extending its capability of monitoring important business workloads to the GPU-oriented computational nodes. A practical approach for acquiring and processing NVML metrics via Python bindings is described. The work also proposes and discusses implementation of helper applications for convenient simulation of performance problems in a multi-tier web application. These applications are then used in combination with OneAgent-based monitoring and appropriate configuration of Dynatrace platform for web application monitoring. Next, an end-to-end production-like scenarios are presented, which exemplify extension usefulness in test setup resembling a real world implementation. The extension has been released on GitHub under MIT license.
Decentralized and Fault Tolerant Cloud Service Orchestration
Authors: Spataru Adrian 
Published: December 2020

This paper proposes a decentralized framework for the orchestration of Cloud Services using heterogeneous resources residing in the homes of private individuals or small-scale clusters. The framework makes use of Ethereum Smart Contracts to provide a decentralized mechanism for discovering the different interfaces exposed by Cloud Components. The paper introduces a novel concept of Component Administration Networks, which are peer-to-peer networks that monitor and ensure the availability of the software components. The concept applied for the Orchestration process to ensure that the deployment of an Application continues in the presence of Orchestrator component failure. Checkpoints are used to address the continuity of the Management components, in general, and of the Orchestrator, in particular. In our proposal, checkpoint metadata is stored in a Smart Contract to assess the execution time of a Service to reimburse the participants that ensure its execution.
PENGENALAN SOFTWARE MINITAB KEPADA GURU-GURU DI WILAYAH GUGUS II INDRALAYA KABUPATEN OGAN ILIR SUMATERA SELATAN
Authors: Susanti Eka , Indrawati Indrawati , Dwipurwani Oki , Sitepu Robinson , Cahyawati Dian 
Published: December 2020

Pengolahan data dapat dilakukan dengan perhitungan manual ataupun menggunakan alat bantu aplikasi software pengolah data. Salah satu software untuk mengolah data statistik yang dapat digunakan adalah software Minitab. Pengenalan software Minitab kepada kalangan guru dilaksanakan dengan dua tahap, yaitu tahap pelatihan dan tahap pendampingan. Tahap pertama bertujuan untuk memperkenalkan software minitab 17 sebagai alat bantu pengolahan data dan diharapkan agar para guru yang menjadi khalayak dapat memperluas pengetahuan dan meningkatkan motivasi untuk melakukan penelitian yang berkaitan dengan data. Tahap kedua bertujuan untuk membantu para guru agar lebih mampu menganalisis data hasil penelitian yang telah dilakukan dan menambah motivasi mereka untuk membuat publikasi hasil penelitiannya.Â Â Berdasarkan pengamatan selama pelaksanaan tahap pertama berkaitan dengan bagaimana merumuskan hipotesis, mengolah data dengan aplikasi Minitab, dan menganalisis luarannya menunjukkan bahwa peserta sudah dapat mengenal dan menggunakan software Minitab.Â Â Meskipun demikian, masih perlu diberikan pelatihan lanjutan agar peserta dapat lebih memahami penggunaan Minitab dan menginterpretasikan luarannya.. Berdasarkan hasil pemberian kuesioner, dapat disimpulkan bahwa kegiatan pengabdian pengenalan software Minitab 17 telah memberikan manfaat kepada peserta dan berdampak terhadap penambahan wawasan dan motivasi peserta untuk melakukan penelitian.
PERAN SERTA KADER DALAM PEMENUHAN KELENGKAPAN DAN KETEPATAN PENCATATAN DATA POSYANDU ANYELIR 1 DUSUN WONOCATUR, BANGUNTAPAN, BANTUL
Authors: Syam Nur Syarianingsih , Ningrum Nungky Angginia , Emily Denda Sabrina , Herianti Nurul Liana , Dewi Sofia Fitria , Hijriani Rida Kurnia 
Published: December 2020

Posyandu merupakan salah satu bentuk upaya kesehatanÂ bersumber daya masyarakat yang dikelola dan diselenggarakan dari, oleh, untuk dan bersama masyarakat dalam penyelenggaraan pembangunan kesehatan, guna memberdayakan masyarakat dan memberikan kemudahan kepada masyarakat dalam memperoleh pelayanan kesehatan dasar, utamanya untuk mepercepat penurunan angka kematian ibu dan bayi.Â Pengabdian ini bertujuan meningkatkan pengetahuan kader terhadap pentingnya kelengkapan dan ketepatan pencatatan data kegiatan posyandu. Metode yang digunakan pada pengabdian ini adalah ceramah, simulasi dan tanya jawab. Sasaran pengabdian ini adalah kader Posyandu Anyelir 1 Dusun Wonocatur. Hasil diketahui kendala dalam melengkapi laporan data posyandu adalah pengetahuan dan usia kader. Dampak dari pengabdian ini adalah terjadi peningkatan pengetahuan kader terkait kelengkapan dan ketepatan pencatatan, pendokumentasian dan pelaporan data kegiatan posyandu.
IMPLEMENTASI PROGRAM KADARZI DI WILAYAH KERJA POSYANDU AGUNG 2 SOKOWATEN DUSUN PLUMBON KECAMATAN BANGUNTAPAN KABUPATEN BANTUL YOGYAKARTA
Authors: Sukmawati Teti , Yulianti Dwi , Syafitri Nabila Fanda , Septiani Anggi Triya , Nurhafisah Nurhafisah , Hidayat Syamsu 
Published: December 2020

Gizi yang baik merupakan pondasi kesehatan untuk itu perlunya pemenuhan gizi di keluarga, pemenuhan gizi harus dimulai sejak dini yaitu saat mulai dalam kandungan, bayi, balita karena pemenuhan gizi sangat berpengaruh untuk pertumbuhan dan perkembangan. Kadarzi merupakan keluarga yang dapat mengetahui mencegah dan mengatasi permasalahan gizi di dalam suatu keluarga dengan mempertimbangkan lima indicator kadarzi. Jenis penelitian ini merupakan penelitian kuantitatif deskriptif dengan menggunakan sample masyarakat dusun plumbon RT 1-6 dan RT 34 dengan jumlah sampleÂ 52Â Â Berdasarkan hasil penelitian yang sudah dilakukan di dapatkan kesimpulan bahwa masyarakat di daerah tersebut belum sepenuhnya menerapkan perilaku Kadarzi. Intervensi yang dilakukan adalah dengan metode penyuluhan kepada masyarakat menggunakan media ceramah, slide power point, poster dan leaflet. Dampak dari intervensi tersebut, adanya peningkatan pengetahuan masyarakat tentang kadarzi khususnya terkait konsumsi suplemen gizi dan vitamin A.
PENGUATAN PEMASARAN BATIK CIPRAT KARYA DIFABEL MELALUI SOCIAL MEDIA DAN WEBSITE
Authors: Susanto Rudi , Triyandari Nugroho Novemy , Lestari Wiji 
Published: December 2020

Mitra kegiatan pengabdian masyakat ini adalah KSM Karya Barokah yang bergerak pada usaha produksi batik ciprat karya difabel yang dipasarkan dengan nama batik ciprat pucung.Â KSM Karya Barokah berada di Desa Pucung, Kecamatan Kismantoro, Kabupaten Wonogiri. Tujuan kegiatan pengabdian masyarakat ini supaya mitra dapat memasarkan produknya melalui social media instagram dan website. Metode pelaksanaan pengabdian masyarakat terdiri dari 1) Persiapan, 2) Pelatihan, 3) Evaluasi dan 4) Penndampingan. Hasil Kegiatan adalah sebagai berikut: 1) KSM Karya Barokah dapat melakukan pemasaran online denganÂ social mediaÂ dan website dengan mengelola akun instagram @batik_ciprat_pucung dan website http://batikcipratpucung.com, 2) Pengetahuan mitra terkait pemasaran online dengan social media dan website meningkat sebesar 25.71%. Hasil kegiatan pengabdian masyakat ini menunjukan bahwa kegiatan pengabdian masyarakat memberikan manfaat bagi mitra.
PELATIHAN HARDINESS ANGGOTA KARANG TARUNA SEDYA BHAKTI UNTUK PENGEMBANGAN DESA WISATA EDUKASI
Authors: Suyono Hadi , Syuhada Muhammad Nur , Sumaryanto Sumaryanto 
Published: December 2020

Pelatihan merupakan tindakan efektif membangun kepribadianÂ hardinessÂ pada anggota karang taruna Sedya Bhakti. Tujuan dari program pelatihan ini adalah menumbuhkanÂ Â pribadi anggota Karang Taruna Sedya Bhakti yang tangguh dalam rangka mengembangkan desa wisata edukasi. Metode yang digunakan merupakan pelatihan untuk meningkatkanÂ hardiness. Caranya adalahÂ Â melatih peserta mampu mengelola stres secara efektif, melatih kemampuan pemecahan masalah dan berfikir secara kreatif sehingga dapat membentuk kepribadianÂ hardiness.Â Dalam pelatihan ini adaÂ Â 15 anggota karang tarunaÂ Â Sedya Bhakti yangÂ Â berpartisipasi dengan rentang usia 20 hingga 25 tahun.Â Â Jenjang pendidikan anggota karang taruna Sekolah Menengah AtasÂ Â dan Strata 1. Hasil dari pelatihan ini diolah menggunakan analisa komparasi ujit-T dengan membandingkan tingkat hardines peserta sebelum dan sesudah pelatihan. Hasil yang diperoleh dengan nilai t sebesar -3,780 yang berarti terjadi peningkatanÂ hardinessÂ perserta setelah mengikuti kegiatan. Adanya peningkatanÂ hardinessÂ anggota karang taruna Sedya Bhakti dapat sebagai bekal utamaÂ Â menjalankan program pengembangan desa wisata edukasi secara mandiri.
Determination of the relationship between physician trust, medical mistrust, and self-confidence in the health services provided in Turkey
Authors: Şengül Halil , Bulut Arzu 
Published: December 2020

Objectives: A sense of trust is of great importance for professional professions. Failure to establish trust, especially in an industry where information asymmetry is too high, such as the health sector, also poses important problems for both employees and society. In this study, we aimed to identify variables that affect the distrust of the health system and trust in the physician.
Material and Method: This study was carried out in the descriptive design. The study group consisted of 561 people living in different cities of Turkey and whose ages ranged from 18-70 years. “Personal data form”, “ Medical mistrust scale”, “Physician trust scale” and “generalized trust inventory infrastructure scale” were used as data collection tools prepared by the researcher. As a data collection method, the test method performed in a computer environment was used. One-way analysis of variance from parametric test statistics and Pearson correlation analysis test statistics were used to compare data. P<0.050 and p<0.001 were determined for the significance level.
Results: In our study, medical mistrust decreased as trust in the physician increased. As a person's level of self-trust increases, medical mistrust increases, and confidence in the physician also decrease. Dissatisfaction with the health service increases medical mistrust, while also reducing trust in the physician. Based on the preferred type of hospital, the level of medical mistrust of patients going to private hospitals is greater than the level of medical mistrust of patients going to public hospitals.
Conclusion: This study reveals the importance of trust in the health sector and the factors that affect it. More detailed studies on practices that will increase confidence in the importance of this issue and measures that will reduce distrust will make a great contribution to this issue.