bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Experience of Doctoral Nursing Candidate in Writing Publication in Journal
Authors: Akbar Amar , Junda Tiraporn 
Published: February 2021

Graduates of PhD nursing programs are expected to produce complex genres of writing such as abstracts, research grants, manuscripts for publication, and dissertations. Research evidence shows a wide range of variability in writing among doctoral nursing students, and these variations may become more profound when exposed to complex genres. the objective of this study to explore the experience of PhD candidate in writing publication in high indexed journal. This case study used depth interview, semi structured question, Interview conducting in English, recorded voice used for transcribing data in 2 respondents from doctoral nursing candidate in Bangkok Thailand comes from Mahidol university and Chulalongkorn university. Participants’ criteria for this study are: 1) Doctoral candidate with minimum 1 publication in high indexed journal (Scopus/ ISI Thompson) 2) Doctoral nursing students that study in Thailand 3) Pass Qualifying Exam. Data analysis used modification Benner’s methods use in this study. This study exposing three themes. Theme 1: Strategies for publish. Theme 2: Support for publishing journal. Theme 3: two ways Communication with journal editors and public. Introduce scholarly writing at the undergraduate level and reinforce across the nursing education continuum, provide students with examples of quality scholarly writing, encourage student to connect with writing mentors (peers, colleagues, family, editor, faculty) are main recommendation for postgraduate student for increasing high level publication of nursing students.
The Relationship Between Moral Distress With Level of Burnout on Nurses in Intensive Care Room at the dr. Soebandi Hospital Jember
Authors: Siswoyo Siswoyo , Muhammad Nur Kholid Rosyidi , Ulya Faizatul 
Published: February 2021

Moral distress is defined as psychological disequilibrium and negative feelings that results from recognizing an ethically appropriate action, yet not taking it because of such barriers. This causes an increase workload of nurses in the intensive care room, resulting burnout that affects nurses, patients and health care providers. This study aimed to analyze the relationship between moral distress and the level of burnout in intensive care room nurses at the dr. Soebandi Hospital Jember. This study used a quantitative descriptive observational analytic with the approach cross sectional design selected 47 nurses as respondents used total sampling. Data collected by Measure of Moral Distress Scale - Healthcare Professionals (MMD-HP) and Maslach Burnout Inventory (MBI). The results revealed that most respondents experienced low moral distress (85.1%) and low burnout (61.7%). The bivariate analysis showed with spearman test that p-value was < 0.001 (α = 0.05; r = 0.531). There was a relationship between moral distress and the level of burnout in intensive care room nurses at the dr. Soebandi Hospital Jember with moderate and positive relationship strength. A healthy work environment plays an important role in the low level of moral distress and burnout, if there are staff skilled in communication, good collaboration between people or professions, effective decision making, proper staffing, recognition and leadership.
The Relationship between Physical Activities and Cognitive Function in The Elderly
Authors: Anugrahanti Wisoedhanie Widi , Marbun Romaden , Putri Nadia Oktiffany 
Published: February 2021

ABSTRACT
Physical activity is a factor that can inhibit cognitive decrease in the elderly. One of the preventive actions that can be done by the elderly in slowing down the decrease of cognitive function is to increase physical activity. Physical activity is thought to stimulate nerve growth which might inhibit cognitive decrease in the elderly. When doing physical activity, the brain will be stimulated so that it will increase the Brain Derived Neurotropic Factor which plays a role in keeping nerve cells fit and healthy. Based on the explanation, the aim of this study was to identify the relationship between physical activity and cognitive function in the elderly. This study was a quantitative study with a categorical correlative analytic method. The study used cross sectional study design. The chi-square test and ordinal logistic regression test were used for data analysis. The results of this study stated that the overall physical activities which were exercise, mild activity, heavy activity, use of stairs and participate in social activities showed a significant relationship to cognitive function. Participating in social activities and mild activity were the most significant physical activities that showed relationship to cognitive function, with p-value = 0.001 < 0.05. In conclusion, the findings highlight that the choice of appropriate physical activity can help to maintain cognitive function in the elderly.
Keywords: physical activity, cognitive function, elderly
STUDI WATER MANAGEMENT PADA AREA PLANT PRODUKSI DI PT SEBUKU IRON LATERITIC ORES (SILO) SITE SUNGAI BALI, KECAMATAN SEBUKU, KABUPATEN KOTABARU, PROVINSI KALIMANTAN SELATAN
Authors: Novandy Ary Rizki , Triantoro Agus , Hakim Romla Noor 
Published: February 2021

PT Sebuku Iron Lateritic Ores memiliki 3 plant produksi untuk proses pengolahan dan pencucian bijih besi yaitu washing plant, crushing plant dan magnetic separator. Proses pengolahan tersebut menggunakan system open cicruit dan media air sebagai pencucian bijih besi, sumber air untuk kebutuhan proses produksi mengunakan air laut, air tampungan hujan dan air sirkulasi hasil dari proses pencucian bijih besi, air tersebut ditampung pada kolam endapan yang ada pada masing-masing plant dengan maksud mengurangi endapan lumpur sisa dari proses pencucian dan mengembalikan air dari proses tersebut untuk digunakan kembali. Tujuan dari penelitian ini adalah menghitung persen endapan lumpur pada tiap kolam, menghitung debit air yang masuk dan keluar dari tiap kolam, menganalisa hambatan-hambatan yang terjadi, membuat simulasi pembagian kebutuhan air untuk kegiatan produksi, dan penjadwalan pengerukan kolam endapan untuk mencapai kebutuhan air sirkulasi secara maksimal.Perhitungan persen endapan lumpur pada kolam didapatkan dari hasil bottle rolling test, perhitungan pembagian kebutuhan air tambahan dari debit pompa kolam dan perhitungan debit limpasan sesuai curah hujan. Perhitungan jadwal pengerukkan kolam endapan didapatkan dari dimensi kolam dan kecepatan aliran kolam.Air yang masuk pada system open circuit sebesar 860,01 m³/jam dan air yang kembali tersirkulasi sebesar 310,49 m³/jam atau 43,9%. Jumlah endapan yang masuk ke kolam endapan WP sebesar 35% asumsi sampel 1 liter dari debit yang masuk dan 29,33% masuk ke kolam endapan MS. Kebutuhan air tambahan untuk kegiatan produksi dibutuhkan sebesar 396,64 m³/jam atau 56,1%. Jadwal pengerukkan kolam WP 2-3 hari sekali dan MS 1-15 hari sekali. Dengan simulasi rekomendasi kolam endapan baru agar air sirkulasi yang didapat maksimal maka target pengendapan menjadi 99% dan air sirkulasi dari pencucian meningkat menjadi 82% dan hanya membutuhkan air tambahan sebesar 18%. Jadwal pengendapan untuk kolam rekomendasi WP dan MS dapat dilakukan 3 hari sekali. Kata-kata kunci: plant produksi, kolam pengendapan, system open circuit
Optimal Estimation for Power of Variance with Application to Gene-Set Testing
Authors: Xiao Min , Chen Ting , Huang Kunpeng , Ming Ruixing 
Published: February 2021

Abstract
Detecting differential expression of genes in genom research (e.g., 2019-nCoV) is not uncommon, due to the cost only small sample is employed to estimate a large number of variances (or their inverse) of variables simultaneously. However, the commonly used approaches perform unreliable. Borrowing information across different variables or priori information of variables, shrinkage estimation approaches are proposed and some optimal shrinkage estimators are obtained in the sense of asymptotic. In this paper, we focus on the setting of small sample and a likelihood-unbiased estimator for power of variances is given under the assumption that the variances are chi-squared distribution. Simulation reports show that the likelihood-unbiased estimators for variances and their inverse perform very well. In addition, application comparison and real data analysis indicate that the proposed estimator also works well.
Juvenile idiopathic arthritis in Jordan: Single center experience
Authors: Alzyoud Raed M. , Alsuweiti Motasem O. , Almaaitah Heba Q. , Aladaileh Bushra N. , Alnoubani Mohammad K. , Alwahadneh Adel M. 
Published: February 2021

Abstract
Background: Juvenile idiopathic arthritis (JIA) is a heterogeneous group of disorders, including all forms of arthritis, which develops in children who are less than 16 years old. This study aimed to evaluate the clinical and laboratory features of JIA in a single center in Jordan.Methods: A retrospective analysis of the electronic medical records of pediatric patients diagnosed with JIA based on the International League of Associations for Rheumatology (ILAR) criteria during the period from 2015 to 2019 at the Pediatric Rheumatology Clinic in the Queen Rania Children’s Hospital. All patients were below the age of 14 years at the time of diagnosis and followed for at least six months. Collected data consisted of age, gender, age at initial presentation and diagnosis, JIA subtype, laboratory data, treatment options, and outcome.Results: A total of 210 patients were included in this cohort (94 males and 116 females) with the mean age at diagnosis and mean age at onset of 5.33 ± 3.40 years and 5.08 ± 3.40 years (range: 7 months – 14 years), respectively. Oligoarticular JIA was the commonest subtype (54.7%), followed by systemic arthritis (17.1%) and polyarticular arthritis (12.3%). ANA was positive in 70 patients (33.6%). Uveitis occurred in thirty (14.2%) patients.Conclusion: To the best of our knowledge, this study on this cohort is the first report on JIA in Jordan, in comparison with other regionally and internationally published reports. Oligoarticular JIA was found to be the most common subtype. For detailed knowledge on JIA characteristics and patterns, a population-based, rather than a single center study, should be conducted in Jordan.
Overcoming Boltzmann's Tyranny in a Transistor via the Topological Quantum Field Effect
Authors: Nadeem Muhammad , Bernardo Iolanda Di , Wang Xiaolin , Fuhrer Michael , Culcer Dimitrie 
Published: February 2021

Abstract
The sub-threshold swing is the fundamental critical parameter determining the operation of a transistor in low-power applications such as switches. It determines the fraction of dissipation due to the gate capacitance used for turning the device on and off, and in a conventional transistor it is limited by Boltzmann's tyranny to kBTln(10)/q, or 60 mV per decade. Here, we demonstrate that the sub-threshold swing of a topological transistor, in which conduction is enabled by a topological phase transition via electric field switching, can be sizably reduced in a non-interacting system by modulating the Rashba spin-orbit interaction via a top-gate electric field. We refer to this as the Topological Quantum Field Effect and to the transistor as a Topological Quantum Field Effect transistor (TQFET). By developing a general theoretical framework for quantum spin Hall materials with honeycomb lattices we explicitly show that the Rashba interaction can reduce the sub-threshold swing by more than 25% compared to Boltzmann's limit in currently available materials, but without any fundamental lower bound, a discovery that can guide future materials design and steer the engineering of topological quantum devices.
Chronic depletion of subcellular NAD pools reveals their interconnectivity and a buffering function of mitochondria
Authors: VanLinden Magali , Høyland Lena , Dietze Jörn , Tolås Ingvill , Sverkeli Lars , Niere Marc , Cimadamore-Werthein Camila , Hoeven Barbara van den , Strømland Øyvind , Sauter Roland , Dölle Christian , Davidsen Cedric , Pettersen Ina , Tronstad Karl Johan , Perez Roberto Megias , Mjøs Svein , Makarov Mikhail , Migaud Marie , Heiland Ines , Ziegler Mathias 
Published: February 2021

Abstract

The coenzyme NAD is consumed by signaling enzymes including poly-ADP-ribose-polymerases (PARPs) and sirtuins. Understanding the mechanisms of aging-associated NAD decline and how cells cope with decreased NAD concentrations requires model systems reflecting chronic NAD deficiency. To evoke compartment-specific over-consumption of NAD, we have engineered cell lines expressing PARP activity in mitochondria, the cytosol, endoplasmic reticulum, or peroxisomes. Irrespective of the compartment targeted, total cellular NAD concentrations declined by ~40%. Isotope-tracer flux measurements and mathematical modeling showed that the lowered NAD concentration limits total NAD consumption kinetically. Moreover, NAD biosynthesis rate and capacity remained unchanged, thereby also precluding an increase of total NAD turnover. The chronic NAD deficiency was surprisingly well tolerated unless the mitochondria were targeted. Oxidative phosphorylation and glycolysis were little affected by NAD over-consumption in the other compartments. Likewise, peroxisomal NAD over-consumption was balanced by mitochondrial NAD decrease to maintain beta-oxidation of very long chain fatty acids in peroxisomes. We propose that subcellular NAD pools are interconnected, with mitochondria acting as a rheostat to facilitate NAD-dependent processes in organelles with excessive consumption.
Remote Work and the Environment: Exploratory Analysis of Indoor Air Quality of Commercial Offices and the Home Office
Authors: Sarnosky Kamrie , Benden Mark , Cizmas Leslie , Regan Annette , Sansom Garett 
Published: February 2021

Abstract
Background: The COVID-19 pandemic has accelerated an already existing trend of individuals increasingly working remotely. With the growing popularity of remote working, specifically in a home office, there is a critical need to better understand and characterize the potential environmental differences between these two spaces. Indoor air pollution can have adverse health effects and impair cognitive functioning. Methods: This small pilot cohort study (N=22) recruited home and office workers to better understand the indoor air quality between these spaces. Air contaminants collected and assessed included PM10 and PM2.5, carbon dioxide (CO2), and total volatile organic compounds (TVOCs). Results: Findings showed a strong statistically significant increase in all measured variables within homes in comparison to traditional offices (p<0.001). For instance, The mean PM2.5 level in the traditional office space was 1.93 µg/m3 whereas it was more than twice this amount (5.97 µg/m3) in home offices.Conclusion: These results indicate that those who work from home are at increased risk due to longer exposures to higher levels of certain contaminants, the importance to better develop interventions to mitigate this reality is underscored by the fact that many workers will be moving to home-based offices in the coming years.
A Highly Prevalent SINE Mutation in The Myostatin (MSTN) Gene Promoter Is Associated With Low Circulating Myostatin Concentration in Thoroughbred Racehorses
Authors: O'Hara Victoria , Cowan Amelie , Riddell Dominique , Massey Claire , Martin John , Piercy Richard 
Published: February 2021

Abstract
Horse racing is a popular and financially important industry worldwide and researchers and horse owners are interested in genetic and training influences that maximise athletic performance. An association has been found between the presence of a short interspersed nuclear element (SINE) mutation in the myostatin (MSTN) gene promoter and optimal race distance in Thoroughbred horses. There is previous laboratory evidence that this mutation reduces MSTN expression in a cell culture model and influences skeletal muscle fibre type proportions in horses. Manipulating MSTN expression has been proposed for illicit gene doping in human and equine athletes and already, researchers have generated homozygous and heterozygous MSTN-null horse embryos following CRISPR/Cas9 editing at the equine MSTN locus and nuclear transfer, aiming artificially to enhance performance. To date however, the role of the naturally-occurring equine MSTN SINE mutation in vivo has remained unclear; here we hypothesised that it reduces, but does not ablate circulating myostatin expression. Following validation of an ELISA for detection of myostatin in equine serum and using residual whole blood and serum samples from 176 Thoroughbred racehorses under identical management, horses were genotyped for the SINE mutation by PCR and their serum myostatin concentrations measured. In our population, the proportions of SINE homozygotes, heterozygotes and normal horses were 27%, 46% and 27% respectively. Results indicated that horses that are homozygous for the SINE mutation have detectable, but significantly lower (p<0.0001) serum myostatin concentrations (226.8pg/ml; 69.3-895.4pg/ml; median; minimum-maximum) than heterozygous (766pg/ml; 64.6-1182pg/ml) and normal horses (1099pg/ml; 187.8-1743pg/ml). Heterozygotes have significantly lower (p<0.0001) myostatin concentrations than normal horses. Variation in serum myostatin concentrations across horses was not influenced by age or sex. This is the first study to reveal the direct functional effect of a highly prevalent mutation in the equine MSTN gene associated with exercise performance. Determining the reason for variation in expression of myostatin within SINE-genotyped groups might identify additional performance-associated environmental or genetic influences in Thoroughbreds. Understanding the mechanism by which altered myostatin expression influences skeletal muscle fibre type remains to be determined.
Integrating sociotechnical factors to assess efficacy of PV recycling and reuse interventions
Authors: Walzberg Julien , Carpenter Alberta , Heath Garvin 
Published: February 2021

Abstract
By 2050, the cumulative mass of end-of-life photovoltaic (PV) modules may reach 80 million metric tons globally. The impacts could be mitigated by circular economy (CE) strategies including module recycling, repair, and reuse. However, previous studies of PV circularity omit consideration of critical social factors. We use a novel agent-based model to integrate social aspects with techno-economic, factors—providing a more realistic assessment of circularity potential for previously studied CE interventions and assessing additional interventions that cannot be analyzed using techno-economic analysis alone. We also performed a global sensitivity analysis using a machine-learning metamodel. We show that excluding social factors underestimates the effect of lower recycling prices on PV material circularity. Interventions aimed at changing customer attitudes about used PV boost module reuse, although used modules can only satisfy a third of US demand during 2020–2050, suggesting that reuse should be complemented by recycling.
Regulatory T Cell Function in Established Systemic Autoimmune Inflammation: Reversal and Containment of a Fatal Disease
Authors: Rudensky Alexander , Hu Wei , Wang Zhong-Min , Feng Yongqiang , Schizas Michail , Hoyos Beatrice , Veeken Joris van der , Verter Jacob , Puerto Regina Bou 
Published: February 2021

Abstract
The immunosuppressive function of regulatory T (Treg) cells is dependent on continuous expression of the transcription factor Foxp3. Foxp3 loss-of-function or induced ablation of Treg cells results in a fatal autoimmune disease featuring all known types of inflammatory responses with every manifestation stemming from Treg cell paucity, highlighting a vital function of Treg cells in preventing fatal autoimmune inflammation. However, a major question remains whether Treg cells can persist and effectively exert their function in a disease state, where broad spectrum of inflammatory mediators can either inactivate Treg cells or render innate and adaptive pro-inflammatory effector cells insensitive to suppression. By reinstating Foxp3 protein expression and suppressor function in cells expressing a reversible Foxp3 null allele in severely diseased mice, we found that the resulting single pool of “redeemed” Treg cells normalized immune activation, quelled severe tissue inflammation, reversed fatal autoimmune disease and provided long-term protection against them. Thus, Treg cells are functional in settings of established broad spectrum systemic inflammation and are capable of affording sustained reset of the immune homeostasis.
Intelligent Prediction of The Equivalent Circulating Density From Surface Data Sensors During Drilling By Employing Machine Learning Techniques
Authors: Gamal Hany , Abdelaal Ahmed , Elkatatny Salaheldin 
Published: February 2021

Abstract
The precise control for the equivalent circulating density (ECD) will lead to evade well control issues like loss of circulation, formation fracturing, underground blowout, and surface blowout. Predicting the ECD from the drilling parameters is a new horizon in drilling engineering practices and this is because of the drawbacks of the cost of downhole ECD tools and the low accuracy of the mathematical models. Machine learning methods can offer a superior prediction accuracy over the traditional and statistical models due to the advanced computing capacity. Hence, the objective of this paper is to use the artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) techniques to develop ECD prediction models. The novel contribution for this study is predicting the downhole ECD without any need for downhole measurements but only the available surface drilling parameters. The data in this study covered the drilling data for a horizontal section with 3,570 readings for each input after data preprocessing. The data covered the mud rate, rate of penetration, drill string speed, standpipe pressure, weight on bit, and the drilling torque. The data used to build the model with a 77:23 training to testing ratio. Another data set (1,150 data points) from the same field was used for models` validation. Many sensitivity analyses were done to optimize the ANN and ANFIS model parameters. The prediction of the developed machine learning models provided a high performance and accuracy level with a correlation coefficient (R) of 0.99 for the models' training and testing data sets, and an average absolute percentage error (AAPE) less than 0.24%. The validation results showed R of 0.98 and 0.96 and AAPE of 0.30% and 0.69% for ANN and ANFIS models respectively. Besides, a mathematical correlation was developed for estimating ECD based on the inputs as a white-box model.