bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of hematological and biochemical parameters in a cohort of Indian COVID-19 patients admitted in a tertiary care centre
Authors: Agrawal Abhishek , Tyagi Princy , Mahavar Sunil , Banerjee Subrata , Sharma Raman , Bhandhari Sudhir , Keswani Prakash 
Published: November 2020

Background: In this study authors retrospectively analyzed the record of 102 patients with confirmed COVID-19 infection to determine factors associated with severity of disease. Methods: Clinical, biochemical, radiological and hematological profiles of 102 patients with confirmed SARS-CoV-2 RNA testing were obtained and analyzed. Results: A total of 102 patients were enrolled, with median age of patients of 32.5 years (range 10-85 years), of which 83.3% (85/102) were asymptomatic and 16.67% (17/102) symptomatic. Eighteen (17.6%) patients had co-existing illnesses. Clinical spectrum among COVID-19 patients varied from being asymptomatic to having symptoms like fever, dry cough, breathlessness with few progressing to respiratory failure and multi-organ failure. In our study, 97.05% (99/102) recovered while 2.94% (3/102) died. Mean age, total leucocyte count (TLC), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and lactate dehydrogenase (LDH) of severely ill patients were significantly higher than those of patients with non-severe illness.Conclusions: Elevated NLR, TLC, PLR, LDH and lymphopenia were seen in the symptomatic patients especially manifesting severe disease. Early intervention and periodic monitoring of these parameters in patients, especially with severe disease may help in improving disease outcome.
Association between obstructive sleep apnea and comorbidities in adult patients
Authors: Srivastava Govind Narayan , Sharma Deepanjali , Sharma Mrityunjay , Jain Aiyush 
Published: November 2020

Background: With the emergence of lifestyle diseases in epidemic proportions in developing nations like India, Obstructive sleep apnea syndrome (OSAS) is increasing consistently. OSA brings many adverse consequences, such as systemic hypertension, cardiovascular diseases, obesity, diabetes mellitus, behavioral changes and many other comorbid conditions. Methods: This is a prospective study of 46 polysomnography proven patients with OSA apnea hypopnea index (AHI) ≥5/h. The study period was from 1st October, 2017 to 31st March, 2019. Subjects were divided into three subgroups according to AHI: mild OSAS: 5<AHI<15, moderate OSAS: 15<AHI<30 and severe OSAS: AHI >30. The patients were thoroughly examined and evaluated for associated comorbidities. Results: We evaluated 25 men and 21 women with OSA, mean age of 57.7 years (range 30–86). Average weight and body mass index (BMI) of the patients were 86.1 kg (range 65-132) and 33.1 kg/m2 (range 25-46.9) respectively. On evaluation of comorbidities hypertension was on the top 30 (65%) followed by obesity 28 (61%), left ventricular hypertrophy 23 (50%), diabetes mellitus 21 (46%), dyslipidemia and chronic obstructive pulmonary disease in 12 (26%) each. Total no. of comorbidities and multiple comorbidities in a single patient were highest in severe OSA group.Conclusions: OSA predominantly affects middle-aged (>55 years) individuals who are overweight with many having high neck circumference. There is statistically significant positive correlation between AHI and BMI and between number of comorbidities and severity of OSAS. Awareness regarding OSA among the general population and clinicians, wider availability of PSG studies will help in identifying and treating these patients.
The relationship between patients’ perception of nursing care and nursing attitudes towards patient privacy in gynecology clinics
Authors: Aksoy Meyreme , Akpinar Reva Balci 
Published: November 2020

<p class="abstract"><strong>Background:</strong> Patient privacy is an important variable that affects patients’ satisfaction with their hospital experience and perception of quality of healthcare. This study aims to examine the relationship between the importance attached by nurses working in gynecology and obstetrics clinics to patient privacy and patients’ satisfaction with nursing care.</p><p class="abstract"><strong>Methods:</strong> This descriptive study included nurses (n=48) and female patients (123) who agreed to participate in the study. The research data were collected using the ‘patient introductory form’ and the ‘patient perception of hospital experience with nursing care’ for the patients, and the ‘nurse introductory form’ and the ‘patient privacy scale’ for the nurses. Descriptive statistics and correlation analysis were used for data evaluation. </p><p class="abstract"><strong>Results:</strong> The patients’ mean age was 30.93±8.28 years. Of them, 31.7% were primary school graduates and 81.3% were housewives. The nurses’ mean age and occupational experience was 31.60±8.76 and 11.17±8.93 years, respectively. 50.4% of the nurses had a bachelor’s degree. The patients’ mean score on the ‘patient perception of hospital experience with nursing care’ was found to be 63.04±11.09. The nurses’ mean score on the ‘Patient Privacy Scale’ was found to be 122.89±14.59. A positive relationship was found between nurses’ emphasis on patient privacy and patients’ perceptions of hospital experience with nursing care (r=0.34, p&lt;0.05).</p><p class="abstract"><strong>Conclusions:</strong> It was determined that nurses’ perception of patient privacy and patients’ satisfaction with nursing care were high; further, as nurses’ emphasis on patient privacy increases, patients’ perception of their hospital experience with nursing care is positively affected.</p>
A key performance indicators redefinition initiative at a school of pharmacy using a modified Delphi consensus technique
Authors: Salgado Teresa M. , Reynolds Taylor N. , Frankart Laura M. , Holdford David A. , DiPiro Joseph T. , VCU School of Pharmacy KPIs Redefinition Taskforce  
Published: November 2020

Objective: The Outcomes and Assessment Committee at the Virginia Commonwealth University School of Pharmacy was tasked with refining the school’s key performance indicators (KPIs) to improve programmatic assessment by focusing on the most important measures.
Methods: Initially, 56 KPIs were tracked, nine of which were university mandated, divided into 10 modules: admissions, community outreach, continuing education, diversity, faculty experience and success, fundraising, graduate program, research and scholarship, staff experience and success, and student experience and success. Using a three-round Delphi consensus technique, KPIs were reviewed by faculty and staff. Each participant responded whether they considered each KPI to be essential or not essential for school quality assessment and improvement. Consensus for the first, second, and third rounds was defined as ≥90%, ≥80%, and ≥75% agreement, respectively.
Results: Of 109 faculty and staff invited, 49 participated in the first round, 51 in the second, and 42 in the third. At the end of the third round, accumulated consensus was achieved for 35 out of 88 (39.8%) KPIs that were considered essential and 3 out of 88 (3.4%) that were considered non-essential. Consensus percentage per module was: 15.4% (2/13) admissions, 28.6% (2/7) community outreach, 33.3% (3/9) continuing education, 27.3% (3/11) diversity, 62.5% (5/8) faculty experience and success, 55.6% (5/9) fundraising, 40% (4/10) graduate program, 33.3% (3/9) research and scholarship, 57.1% (4/7) staff experience and success, and 66.7% (4/6) student experience and success.
Conclusions: Ultimately, 35 KPIs achieved consensus as essential to measure achievement of benchmarks for the school, which totals 44 KPIs, including nine university mandated KPIs. The process facilitated faculty and staff involvement in KPI selection and achieved improved focus for programmatic assessment.
Online Humour, Cartoons, Videos, Memes, Jokes and Laughter in the Epoch of the Coronavirus
Authors: Nicholls Christine 
Published: November 2020

From the onset of the indefinite deferral of our previously taken-for-granted lives, an abundance of humorous online cartoons, jokes, memes, videos and other satirical material relating to the COVID-19 outbreak—and its consequences—has emerged. Humorous responses to this dire global pandemic proliferate irrespective of location, nationality, ethnicity, age, gender and/or socio-political affiliations. Against a background of enforced lockdowns, quarantine, and sometimes gross political ineptitude, with a mounting daily global death toll, humour referencing this scourge continues to blossom. This may seem counterintuitive or inappropriate at a time of heightened anxiety and fear apropos of an invisible killer-virus, known only in diagrammatic—and, ironically, aesthetically pleasing—visual form. Online humour evoking the COVID-19 crisis is expressed recursively via intertextuality referencing literary, visual, written, oral or other “texts.” Interpictoriality is evident with memes that reconfigure renowned visual artworks. The internet enables copious discourse related to the COVID-19 eruption/disruption.
Embedded in this article are examples to support the article’s theoretical basis, with intertextuality its major focus. Discussion follows, with speculation as to why humour, absurdity and wit are able to prosper in an environment of radical uncertainty and why joking about our parlous global predicament acts as a vital coping mechanism.
Comparative Homology Modeling and Physicochemical Characterization of Cyprinus carpio Hsp70 Protein
Authors: Sahoo Pravas Ranjan , Sahu Santosini , Das Geetanjali , Sahoo Gyanaranjan , Behera Prakash Chandra 
Published: November 2020

Background: Expression of the heat shock proteins (Hsp) is responsible for the protection from adverse climatic changes particularly heat stress in Common carp (Cyprinus carpio). Although, with advancement of molecular techniques, Hsp70 protein has been isolated but this protein needs to be characterized by both physicochemically and structurally for the functional annotation of fish genome. So this current study was undertaken with aim of generation of various protein models and also for thorough physiochemical characterization of this protein.Methods: In this study, Hsp70 protein of common carp was characterized by both physiochemical and structurally through insilco platform and as the crystal structure of this protein is not available, protein models were created though homology modelling upon Modeller version 9.21, Phyre2 and Swiss-model and then the generated predicted models were evaluated through Rampage, Errat, Verify 3D, ProQ and ProSA analysis.Result: Our investigation showed that this protein is very stable, hydrophilic with no disulphide bonds and the protein models which were generated from this study, are of good quality with z value of - 9.58, -9.48 and -10.93 and quality factor of 82.56, 59.43 and 95.27 respectively. So this study was concluded that the generated Hsp70 protein models would provide an avenue for the other researchers for development of high-throughput gene function assignment in fish.
Strategi Digital Branding Lembaga Ilmu Pengetahuan Indonesia (LIPI) Melalui Media Sosial
Authors: Ferbita Lyra Vellaniza , Setianti Yanti , Dida Susanne 
Published: November 2020

Media Sosial menjadi salah satu media yang digunakan LIPI untuk menghilangkan anggapan yang kaku dan birokratis. Media sosial digunakan untuk memasyarakatkan hasil penelitian dan menjadi media untuk melakukan branding yakni melalui strategi digital branding. Tujuan dari penulisan ini adalah mengetahui bagaimana strategi digital branding media sosial LIPI dibuat untuk memasyarakatkan hasil riset dan membentuk citra positif lembaga. Metode penelitian yang digunakan adalah kualitatif dengan studi literatur dan melakukan wawancara dengan pengelola media sosial LIPI dan koordinator media massa LIPI. Adapun hasil penelitian yakni, Tim Humas LIPI dalam membuat strategi digital branding sesuai dengan pendekatan I-Branding yakni, Understanding Customer yakni media sosial dibuat dengan memperhatikan kebutuhan informasi followers yang berbeda-beda pada setiap platform media sosial, Marketing Communication yakni sebagai sebuah brand LIPI memahami pentingnya komunikasi dua arah dengan followersnya agar tercipta komunikasi positif, Interactivity yakni media sosial sebagai wadah berdiskusi dan menstimulasi publik untuk berdiskusi memberikan masukan terkait lembaga, dan Content yakni konten informasi dibuat menarik, mudah dipahami, menggunakan bahasa popular dan telah terverifikasi ilmiah sehingga dapat dipertanggung jawabkan. Dalam mengelola media sosialnya, Tim Humas LIPI melakukan pemetaan khalayak yang menentukan jenis konten dan informasi yang akan diposting di media sosial. Dapat ditarik kesimpulan bahwa dengan keterbatasan dan hambatan dalam peralatan, Sumber Daya Manusia (SDM) dan pendanaan dapat diatasi dengan strategi digital branding yang tepat sehingga salah satu media sosial LIPI yakni Instagram memiliki followers terbanyak se LPNK di bawah Kementerian Riset dan Teknologi RI dan menjadi rujukan informasi sains.
Brain Tumor Diagnosis Support System: A Decision Fusion Framework
Authors: Shantta Kalifa , Basir Otman 
Published: November 2020

The early and accurate detection of brain tumors is important in providing effective and efficient therapy and thus can result in increased survival rates. Current image-based tumor detection and diagnosis methods depend heavily on the interpretation of the neuro specialists and/or radiologists. Therefore, it is quite possible for the interpretation process to be time-consuming, and prone to human error and subjectivity. Automatic detection and classification of brain tumors have the potential to achieve efficiency and higher degree of predictable accuracy. However, it is well established that the accuracy performance of automatic detection and classification techniques varies from technique to technique, and tends to be image modality dependent. Thus, it is prudent to explore the variability in the performance of these techniques as a means to achieve consistent high accuracy performance. This paper presents a framework for fusing multiple tumor classifiers. The fusion process is based on the Dempster Shafer evidence fusion theory. Several tumor classifiers are employed. Experimental results will be presented to validate the efficiency of the proposed framework. It is concluded that fusing the classification decisions made by the various classifiers it is conceivable that efficient and consistent high accuracy classification performance can be attained.
Development and Contextualization of Multicultural Insight-Based Quran Hadith Materials in Madrasah Aliyah
Authors: Sukino Sukino , Wahab Wahab , Murliji Ahmad Fauzi 
Published: November 2020

<p> </p><p class="06IsiAbstrak">Indonesian Muslims are faced with the realities of life that are multi-ethnic, religious, cultural and linguistic. It must be responded critically as early as possible. The understanding of diversity (multiculturalism) should truly be the foundation of all components of the Muslim community without exception for the students. Therefore this paper intends to answer 1) material content of Quran Hadith with a multicultural perspective at Madrasah Aliyah Negeri 2 Pontianak, and 2) Development and contextualization of Qur'an Hadith material in daily life. This research was categorized as field research and literature study. Data collection methods used were observation, interviews and document analysis. Data analysis was through two models, namely content analysis and Miles and Huberman's model which involved analysis steps, namely: data collection, data reduction, data display, and verification. The authors’ findings on this study are that the content of the Quran Hadith with a multicultural perspective in Madrasah Aliyah is carried out by expanding the reading, the meaning of the implementation of tolerance, social ethics, justice, deliberation / democracy concepts which are constructed from the Islamic universal values and moderation (washathiyah) so they can foster a tolerant and empathy (alturism) attitutes to human beings as a manifestation of an obedient servant.</p>
An Ethnobotanical Study of Medicinal Plants in Amaya District, South West Shewa Zone of Oromia Regional State, Ethiopia
Authors: Desalegn Derese , Moges Admasu 
Published: November 2020

Abstract
The purpose of the study was to identify medicinal plants and document associated indigenous knowledge of the Amaya District’s people related to differentiating the parts of medicinal plants, and their modes of preparation and administration to treat human and livestock diseases in South West Ethiopia. A total of 112 medicinal plant species belonging to 96 genera and 56 families were identified and documented. Most of the medicinal plants harvested were herbs followed by trees. Leaves were the most frequently used medicinal plant parts, followed by seeds and roots to prepare traditional remedies. Pounding was the most widely used mode of preparation in the study area, followed by crushing and chewing. The most commonly used route of administration was oral. The majority of medicinal plants were used in fresh condition to treat diseases. A Pearson correlation test indicated a significant difference between age of informants and number of medicinal plant species cited, and between level of education and number of medicinal plant species cited in the District. Ocimum lamiifolium specie was cited by the highest proportion of informants, and ranked first in treating febrile illness human disease in the study area. Malaria disease category scored the highest number of informant consensus factor value. Acmella caulirhiaz ranked first to treat tonsillitis infections. Cordia africana ranked first as a multipurpose medicinal plant. Farm expansion, firewood collection and lack of interest of the young and learned groups towards traditional medicines were the major threats to medicinal plants. Hence, identification and documentation of the medicinal plant species and the knowledge of the local people on how to prepare and use them is so vital for preserving them. Community based cultivation in home gardens and farmlands besides conserving them in wild, where they grow, are recommended to minimize the loss of those medicinal plants.
A betacoronavirus multiplex microsphere immunoassay detects early SARS-CoV-2 seroconversion and antibody cross reactions
Authors: Laing Eric , Sterling Spencer , Richard Stephanie , Epsi Nusrat , Phogat Shreshta , Samuels Emily , Yan Lianying , Moreno Nicole , Coles Christian , Drew Matthew , Mehalko Jennifer , English Caroline , Merritt Scott , Mende Katrin , Chung Kevin , Clifton G. , Munster Vincent , Wit Emmie de , Tribble David , Agan Brian , Esposito Dominic , Lanteri Charlotte , Mitre Edward , Burgess Timothy , Broder Chritopher 
Published: November 2020

Abstract
Sensitive and specific SARS-CoV-2 antibody assays remain critical for community and hospital-based SARS-CoV-2 surveillance. Here, we developed and applied a multiplex microsphere-based immunoassay (MMIA) for COVD-19 antibody studies that incorporates spike protein trimers of SARS-CoV-2, SARS-CoV-1, MERS-CoV, and the seasonal human betacoronaviruses, HCoV-HKU1 and HCoV-OC43, that enables measurement of off-target pre-existing cross-reactive antibodies. The MMIA performances characteristics are: 98% sensitive and 100% specific for human subject samples collected as early as 10 days from symptom onset. The MMIA permitted the simultaneous identification of SARS-CoV-2 seroconversion and the induction of SARS-CoV-2 IgG antibody cross reactions to SARS-CoV-1 and MERS-CoV. Further, synchronous increases of HCoV-OC43 IgG antibody levels was detected with SARS-CoV-2 seroconversion in a subset of subjects for whom early infection sera were available prior to their SARS-CoV-2 seroconversion, suggestive of an HCoV-OC43 memory response triggered by SARS-CoV-2 infection.
Star-forming galaxies dominate the diffuse, isotropic γ-ray background
Authors: Roth Matt , Krumholz Mark , Crocker Roland , Celli Silvia 
Published: November 2020

Abstract
The Fermi Gamma Ray Space Telescope has revealed a diffuse, isotropic γ-ray background at energies ranging from 0.1 GeV to 1 TeV [1] whose astrophysical sources remain uncertain. Previous efforts to understand the origin of this background have been hampered by the lack of physical models capable of predicting the γ-ray emission produced by the many candidate sources, which include star-forming galaxies (SFGs) [2–6], active galactic nuclei (particularly blazars [7–9]), millisecond pulsars[7], and dark matter annihilation [10]. In the absence of predictive models, estimates of the contribution from potential sources have relied on a highly-uncertain process of empirically scaling the emission from a small sample of local, resolved sources by their estimated cosmological abundances. Here we present the first calculation of the contribution of SFGs to the γ-ray background that is based on a physical model for the γ-ray emission produced when cosmic ray ions accelerated in supernova remnants interact with the interstellar medium [11]. We validate the model by showing that it reproduces the γ-ray spectra, source count distribution and far infrared-γ-ray correlation observed for nearby, resolved SFGs. When we apply the model to the observed cosmological SFG population, we recover an excellent match to the γ-ray background from 1 GeV to 1 TeV. Our result shows that SFGs alone can explain the full diffuse γ-ray background over this energy range, and strongly suggests that emission in excess of our model at energies <1 GeV originates from cosmic ray electrons produced in the same galaxies.
Development of a Novel Simple Heat Mapping Method for Curriculum Mapping, Using Pathology Teaching as the Exemplar
Authors: Clark Ryan , Bell Sarah , Roccisana Jennifer , Oien Karin , Sneddon Sharon 
Published: November 2020

Abstract
Background The undergraduate five-year MBChB programme at the University of Glasgow has a high volume of pathology teaching integrated into the course. The ability to better understand what pathology is taught and when, so as to build a picture of the types and depth of pathology topics covered across the programme stages is crucial, especially in a spiral curriculum. A novel method of curriculum mapping, known as curriculum heat mapping, was developed as a way to visualise where and when topics are taught, in an easier to understand format.Methods This method involved comparing the Glasgow curriculum to a pre-determined standard of what should be taught. In this case, The Royal College of Pathologists’ ‘Pathology Undergraduate Curriculum’ was used as a comparison of what a graduating doctor should know about pathology. Results Following the developed template, heat maps showcasing the range of pathology topics covered, and where they are covered, were developed for local use. These heat maps provided a clear visual representation of where and when topics are taught, and how they cluster.Conclusions Heat mapping is a novel low-cost, high-input method of curriculum mapping. It requires a person to input the data which can take a long time for large curricula. There are no other upfront financial costs. It can be used in any area with a curriculum and an external or internal comparator. Examples of gold standard external comparators include validated national or international curricula.Heat mapping can help integrated, spiral curriculum programmes to identify where core topics are taught throughout their course. The heat maps themselves successfully demonstrate the required information and are easy to interpret. The process of mapping, as well as the final heat map, can yield important information. This includes information about trends within the curriculum, areas for potential improvement in sessional design and a clearer understanding of the depth to which each topic is covered in each lecture.Overall, it is a viable novel method, which has been successful locally and is easily transferable to other areas such as pharmacology.