bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH KEPEMIMPINAN TRANSFORMASIONAL DAN KOMITMEN ORGANISASI TERHADAP ORGANIZATIONAL CITIZENSHIP BEHAVIOR GURU SMP NEGERI DI JAKARTA SELATAN
Authors: Yusfi Athina Al 
Published: January 2022

The purpose of this research is to determine the effect of leadership transformational and organizational commitment organizational citizenship behavior the teacher junior high shcool Jakarta..The research methodology was survey which were selected by simple random sampling technique. Analysis and interpretation of the data indicate that (1) transformational leadership has a positive direct effect in organizational citizenship behavior, (2) organizational commitment has a positive direct effect in organizational citizenship behavior, (3) transformational leadership has a positive direct effect in organizational commitment.
PENGARUH PEMBERDAYAAN DAN PEMBELAJARAN ORGANISASI TERHADAP KOMITMEN ORGANISASI DOSEN SEKOLAH TINGGI ILMU TARBIAH AL-AMIN, TANGERANG SELATAN
Authors: Sakuroh Lilis 
Published: January 2022

The purpose of this research is to determine the effect of empowerment and organizational learning on organizational commitment the Lecture STTI Al-Amin. The research methodology was survey which were selected by simple random sampling technique. Analysis and interpretation of the data indicate that (1) organizational structure has a positive direct effect in productivity, (2) job design has a positive direct effect in productivity, (3) organizational structure has a positive direct effect in job design
Automatic Calibration of a Geomechanical Model from Sparse Data for Estimating Stress in Deep Geological Formations
Authors: Andersen O. , Kelley M. , Smith V. , Raziperchikolaee S. 
Published: January 2022

Summary
In this study, we demonstrate geomechanical modeling with fully automatic parameter calibration to estimate the full geomechanical stress fields of a prospective US carbon dioxide (CO2) storage site, based on sparse measurement data. The goal is to compute full stress tensor field estimates (principal stresses and orientations) that are maximally compatible with observations within the constraints of the model assumptions, thereby extending pointwise, incomplete partial stress measurement to a simulated full formation stress field, as well as a rough assessment of the associated error. We use the Perch site, located in Otsego County, Michigan, USA, as our case study. The input data consist of partial stress tensor information inferred from in-situ borehole tests, geophysical well logs, and processing of seismic data. A static earth model (SEM) of the site was developed, and geomechanical simulation functionality of the open-source MATLAB Reservoir Simulation Toolbox (MRST) was used to model the stress field. Adjoint-based nonlinear optimization was used to adjust boundary conditions and material properties to calibrate simulated results of observations. Results were interpreted through a Bayesian framework.
The focus of this paper is to demonstrate how the fully automatic calibration procedure works and discuss the results obtained; it does not attempt a detailed analysis of the stress field in the context of the proposed CO2 storage initiatives. Our work is part of a larger effort to noninvasively determine in-situ stresses in deep formations considered for CO2 storage. Guided by previously published research on geomechanical model calibration, our work presents a novel calibration approach supporting a potentially large number of linear or nonlinear calibration parameters to produce results optimally agreeing with available measurements and thus extend partial pointwise estimates to full tensor fields compatible with the physics of the site.
Drillstring Torsional Vibrations Cancelation during Off-Bottom Operations
Authors: Caresta Mauro 
Published: January 2022

Summary
This work presents a method to move a vertical drillstring off-bottom in a given time without exciting the torsional vibrations. The control algorithm was originally developed for robots with flexible arms, and it is here applied to a long drillstring. The control strategy consists of calculating a feedforward torque based on the modal characteristics of the drillstring. The approach presented can be used to change the downhole orientation or to bring the drillstring to a stable rotational speed without residual vibrations before drilling is started. Numerical examples are presented for both displacement and velocity control strategies.
Monthly Runoff Forecasting Using Variational Mode Decomposition Coupled with Grey Wolf Optimizer Based Long Short-term Memory Neural Networks
Authors: Li Bao-Jian , Sun Guo-Liang , Liu Yan , Wang Wen-Chuan , Huang Xu-Dong 
Published: January 2022

Abstract
Accurate and reliable monthly runoff forecasting plays an important role in making full use of water resources. In recent years, long short-term memory neural networks (LSTM), as a deep learning technology, has been successfully applied in forecasting monthly runoff. However, the hyperparameters of LSTM is predetermined, which has a significant influence on model performance. In this study, given decomposition of monthly runoff series may provide more accurate predication revealed by many previous studies, a hybrid model, namely VMD-GWO-LSTM, has been proposed for monthly runoff forecasting. The proposed hybrid model is comprised of two main components, namely variational mode decomposition (VMD) coupled with grey wolf optimizer (GWO) based LSTM. First, VMD is utilized to decompose raw monthly runoff series into several subsequences. Second, GWO is implemented to optimize the hyperparameters of LSTM for each subsequence on condition that the inputs are determined. Finally, the total output of all subsequences is aggregated as final forecast result. Four quantitative indexes are employed to evaluate the model performance. The proposed model is demonstrated using monthly runoff series data derived from two reservoirs in China's Pearl River system. To identify the feasibility and superiority of the proposed model, back propagation neural networks (BPNN), support vector machine (SVM), LSTM, EMD-LSTM, VMD-LSTM and GWO-LSTM are also utilized for comparison. The results indicate that the proposed hybrid model can yield best forecast accuracy among these models, making it a promising new method for monthly runoff forecasting.
Social Distancing Causally Impacts The Spread of SARS-CoV-2: A U.S. Nationwide Event Study
Authors: Gagnon Louis , Gagnon Stephanie , Lloyd Jessica 
Published: January 2022

Abstract
We assess the causal impact of a spontaneous relaxation of social distancing practices on the spread of SARS-CoV-2 in the U.S., while controlling for social mobility and stateimposed social distancing restrictions. Using the quasi-experimental setting created by the U.S. nationwide protests precipitated by George Floyd’s tragic death on May 25, 2020, we document a country-wide increase of over 3·06 cases per day, per 100,000 population, following the onset of the protests (95% CI:2·47–3·65), and a further increase of 1·73 cases per day, per 100,000 population, in the counties in which the protests took place (95% CI:0·59–2·87). Relative to the week preceding the onset of the protests, this represents a 61·2% country-wide increase in COVID-19 cases, and a further 34·6% increase in the protest counties. Hence, we conclude that social distancing practices causally impact the spread of SARS-CoV-2. The observed effect cannot be explained by changes in social distancing restrictions and social mobility, and our placebo tests rule out the possibility that this finding is attributable to chance. Our research informs policy makers and provides insights regarding the usefulness of social distancing as an intervention to minimize the spread of SARS-CoV-2.
Development of a Reservoir Module for a Distributed Hydrological Model
Authors: Sushanth Kallem , Sojitra Rahul , Mishra Ashok , Goel Manmohan Kumar , Singh Rajendra 
Published: January 2022

Abstract
Many reservoirs have been built throughout the globe to satisfy the various water demands and control floods. A reservoir module is developed based on the Concept of Storage Zoning (CSZ) and implemented in a newly developed National Hydrological Model-India (NHM-I). The developed reservoir module is calibrated and validated independently for the Sardar Sarovar dam over 2010–2014 and 2015–2020. Results show that the module can satisfactorily simulate the trend and temporal patterns of water levels and spills from a reservoir. The Nash Sutcliffe Efficiency (NSE) value is estimated as 0.90 and 0.91 for reservoir water level and 0.87 and 0.86 for reservoir spill-over during calibration and validation. Further, the integrated NHM-I model is calibrated and validated for another catchment (Panchet catchment) in Damodar valley, India having Tenughat and Panchet reservoirs. Results demonstrate that the integrated model captures the reservoir inflows, outflows, and storage levels satisfactorily. Also, the model simulation results with and without the reservoir module show that the model performance improved by including the reservoir module. The integrated model will help assess the management practices adopted in a reservoir-regulated river basin for effective water management.
The Clinical Efficacy of Cefoperazone-sulbactam Versus Piperacillin-tazobactam in the Treatment of Severe Community-acquired Pneumonia
Authors: Chen Chia-Hung , Lai Chih-Cheng , Chen Wei-Chih , Kuo Li-Kuo , Wang Yao-Tung , Fu Pin-Kuei , Ku Shih-Chi , Fang Wen-Feng , Chen Chin-Ming , Tu Chih-Yen , Cheng Wen-Chien 
Published: January 2022

Abstract
To compare the clinical efficacy of cefoperazone-sulbactam with piperacillin-tazobactam in the treatment of severe community-acquired pneumonia (SCAP).The retrospective study was conducted from March 1, 2018 to May 30, 2019. Clinical outcomes were compared for patients who received either cefoperazone-sulbactam or piperacillin-tazobactam in the treatment of SCAP. A total of 815 SCAP patients were enrolled. Among them, 343 received cefoperazone-sulbactam, and 472 received piperacillin-tazobactam. Patients who received cefoperazone-sulbactam presented with higher Charlson Comorbidity Index scores. (6.20 ± 2.77 vs 5.72 ± 2.61; p = 0.009). The clinical cure rates and effectiveness for patients receiving cefoperazone-sulbactam and piperacillin-tazobactam were 84.2% versus 80.3% (p = 0.367) and 85.4% versus 83.3% (p = 0.258), respectively. In addition, the overall mortality rate of the cefoperazone-sulbactam group was 16% (n = 55), which was also comparable to the piperacillin-tazobactam group (17.8%, n = 84, p = 0.572). The primary clinical outcomes for patients receiving cefoperazone-sulbactam were superior compared to those receiving piperacillin-tazobactam after adjusting disease severity status. The clinical efficacy of cefoperazone-sulbactam in the treatment of adult patients with SCAP is comparable to that of piperacillin-tazobactam. After adjusting for disease severity, cefoperazone-sulbactam tended to be superior to piperacillin-tazobactam.
Experiences of Treatment-Resistant Mental Health Conditions in Primary Care: A Systematic Review and Thematic Synthesis
Authors: Talbot Amelia , Lee Charlotte , Ryan Sara , Roberts Nia , Mahtani Kamal R. , Albury Charlotte 
Published: January 2022

Abstract
Background: Most adults fail to achieve remission from common mental health conditions based on pharmacological treatment in primary care alone. There is no data synthesising the reasons. This review addresses this gap through a systematic review and thematic synthesis to understand adults' experiences of using primary care for treatment-resistant mental health conditions (TRMHCs). We use the results to produce patient-driven recommendations for better support in primary care. Methods: Eight databases were searched from inception to December 2020 for qualitative studies reporting research on the experience of people with TRMHCs in primary care. We included the following common mental health conditions as defined by NICE: anxiety, depression, panic disorder, post-traumatic stress, and obsessive-compulsive disorder. Studies were independently screened by two reviewers. Eligible studies were analysed using an aggregative thematic synthesis. Results: Eleven studies of 4,456 were eligible. From these eleven studies, 4 descriptive themes were developed to describe a cycle of care that people with TRMHCs experienced in primary care. In the first stage, people preferred to self-manage their mental health and reported barriers that prevented them from a seeing a GP (e.g., stigma). People felt it necessary to see their GP only when reaching a crisis point. In the second stage, people were usually prescribed antidepressants, but were sceptical about any benefits it had to their mental health. In the third stage, people self-managed their mental health (e.g., through adjusting antidepressants dosage). The fourth stage described the reoccurrence of mental health and resultant need to see a GP again. The high-order theme, ‘breaking the cycle,’ described ways in which this cycle could be broken (e.g., continuity of care). Conclusions: People with TRMHCs and GPs could break the cycle of care by having a conversation about what to do when antidepressants fail to work. This conversation could include replacing antidepressants with psychological interventions like talking therapy or mindfulness.
The Seasonal Effect of Temperature On Bull Semen Quality: The Emergence of Heat-Sensitive And Heat-Tolerant Bulls
Authors: Netherton Jacob K. , Gunn Allan , Robinson Benjamin R. , Villaverde Ana Izabel S. Balbin , Colyvas Kim , Wise Ced , Russo Tylah , Dowdell Amiee , Ogle Rachel. A. , Baker Mark 
Published: January 2022

Abstract
A key challenge for years to come is feeding a rapidly growing human population, whilst lowering the overall costs and impact on the environment. In addition, as global temperatures increase, natural resources must be utilised as a basic means to overcome climate-related issues. To this end, improvements to bull fertility are recognised as a major mechanism that address both the economical and environmental balance. Using semen data from 1271 ejaculates (79 different bull, 11 different breeds) we have investigated the variability of semen quality in cattle living in sub-tropical conditions. Modelling show definitive evidence of seasonal variation, with 90% cryopreservation pass rates winter, dropping to less than 50% in summer. Individual bulls could be classified as either “heat-tolerant” (produce good quality spermatozoa all year regardless of temperature) or “heat-sensitive”. Nominal logistic regression demonstrated when temperatures reach 30.5oC, 40% of heat-sensitive bulls fail a semen analysis 17 days later. At 34oC, the proportion of bulls failing will reach 63%. Ratifying this, the purposeful heating of bulls to 40oC for 12 hours experimental verified the dataset, demonstrating heat-tolerant and different degrees of heat-sensitive bulls exists. Notably, heat-tolerance and heat-sensitivity appear to be genetically inherited. Using historical temperature data, we then modelled how many days/decade bulls would be subject to heat-events. Beginning from 1939-1949, on average, the area in which bulls were kept recorded 19, 7 and 1 day over 38 oC, 39 oC and 40oC. This number steadily increases and of last decade (2010-2010), the numbers of days per decade over 38 oC, 39 oC and 40 oC jumped to a staggering 75, 39 and 15 respectively. These data show the urgent need to identify heat-tolerant bulls as future sires. Such genetic gain would decrease the generational interval, prevent unnecessary culling of cows and increase efficiency of livestock needed for world food programs.
Inferring the Role of the Metabolism of Polyamines in the Phytopathogenic Bacteria Pseudomonas Syringae: A Meta-Analysis Approach
Authors: Solmi Leandro , Rosli Hernan Guillermo , Pombo Marina Alejandra , Stalder Santiago , Rossi Franco Rubén , Romero Fernando Matías , Ruiz Oscar Adolfo , Gárriz Andrés 
Published: January 2022

Abstract
Pseudomonas syringae is a phytopathogenic bacteria causing disease in a wide variety of economically important plant species. To succeed in plant invasion, these bacteria rely on virulence mechanisms that subvert plant immunity and create favorable conditions for growth. This process requires a precise regulation in the production of important proteins and metabolites. Among them, the family of compounds known as polyamines have attracted attention as they are involved in essential cellular processes. However, it is not known yet how phytopathogenic bacteria regulates polyamine homeostasis in the plant environment. In this work, we conducted a meta-analysis of publicly available transcriptomic data with the purpose to understand the regulation of the metabolism of polyamines and their links to pathogenicity in P. syringae. We demonstrated that polyamine synthesis is induced in the early stages of the disease, along with gene expression activation and energy production. On the contrary, the synthesis of these compounds is repressed whereas its transport is up-regulated at later stages, which correlates with the expression of virulence genes and the metabolism of nitrogen and carboxylic acids. We also showed that plant defense mechanisms partially hinder polyamine synthesis, which could reduce cell fitness in the plant environment. In addition, our analysis suggested that a proper bacterial response to oxidative conditions requires a reduction in polyamine production. The implications of these conclusions are discussed.
The value of Ki67 for the diagnosis of cervical low-grade squamous intraepithelial lesions and the problems of p16 in the diagnosis of cervical high-grade intraepithelial lesions
Authors: Liu Jixuan , Su Sanmei , Liu Yafang 
Published: January 2022

Abstract
Aimsp16 and Ki67 are immunohistochemical markers related to cervical squamous intraepithelial lesions. p16 has been widely used to assist in the diagnosis of high-grade squamous intraepithelial lesions. However, a conclusion about the role of Ki67 in the diagnosis of squamous intraepithelial lesions has not been established. The aim of this study was to analyze the role of p16 and Ki67 immunohistochemical staining in assisting cervical squamous intraepithelial lesions.Methods and ResultsThis study performed immunohistochemical staining for p16 and Ki67 on 1024 cervical biopsy specimens at our hospital to compare the differences between p16 and Ki67 in different cervical lesions using the chi-squared test and Fisher’s exact test. This study also evaluated the value of Ki67 for the diagnosis of low-grade squamous intraepithelial lesions (LSILs) using the receiver operating characteristic curve. The results indicated that Ki67 had high specificity and sensitivity in distinguishing LSIL from normal cervix. p16 was diffusely and strongly positive in some LSILs, and some problems were encountered in the interpretation of p16 staining.ConclusionsTherefore, we believe that Ki67 can be used as an immunohistochemical marker to help in the diagnosis of LSIL, to distinguish lesions that are difficult to morphologically determine and to avoid misdiagnosis. The practical application of p16 staining is still problematic. It may be necessary to find other auxiliary means to distinguish this small proportion of cervical lesions.
On Approach to Optimize Manufacturing of a Four Stages Distributed Amplifier to Increase Density of Their Elements Under Influence of Miss-match Induced Stress and Porosity of Materials on Technological Process
Authors: Pankratov Evgeny L. 
Published: January 2022

Abstract
We consider a way to obtain larger density of field-effect transistors, which includes into itself a four stages distributed amplifier. To describe the way we will consider fabrication the above amplifier in the framework of a heterostructure, which has a specifical structure. Some specific areas of the considered heterostructure must be doped by ion implantation or by diffusion. After the doping the considered dopant and radiation defects, which were generated during ion implantation, must be annealed by using considered in this paper optimized procedure. We also introduced a way for reducing of value of mismatch-induced stress in the framework of the considered heterostructure. It has been also introduced an analytical methodology for analysis of mass transport in the framework of the heterostructures during production of the considered type of integrated circuits. The methodology gives a possibility to take into account mismatch-induced stress.
Sex-Dependent Influence of Maternal Predictors on Fetal Anthropometry in Pregnancies With Gestational Diabetes Mellitus.
Authors: Antoniou Maria-Christina , Gilbert Leah , Gross Justine , Rossel Jean-Benoît , Fumeaux Céline Julie Fischer , Vial Yvan , Puder Jardena Jacqueline 
Published: January 2022

Abstract
Background: Third trimester fetal anthropometric parameters are known to predict neonatal complications. A better understanding of predictors of adverse fetal parameters might help to personalize the use and frequency of fetal ultrasound. The objectives of this study were: (a) to evaluate the utility of maternal sociodemographic, anthropometric and metabolic predictors to predict 3rd trimester fetal anthropometric parameters in women with gestational diabetes mellitus (GDM), (b) to assess whether the impact of these maternal predictors is fetal sex-dependent, and (c) to provide a risk stratification for markers of fetal overgrowth (based on fetal weight centile (FWC) fetal abdominal circumference centile (FACC) according to prepregnancy BMI and gestational weight gain (GWG) until the 1st GDM visit.Methods: This prospective study included 189 women with GDM. Maternal predictors were age, ethnicity, prepregnancy BMI, GWG and excessive weight gain until the 1st GDM visit, fasting, 1-hour and 2-hour blood glucose oral glucose tolerance test values, HbA1c at the 1st visit and medical treatment requirement. Fetal outcomes included FWC, FWC >90% and <10%, FACC, FACC >90% and <10%, at 29 0/7 to 35 6/7 weeks of gestational age. We performed univariate and multivariate regression and probability analyses.Results: In multivariate analyses, prepregnancy BMI was associated with FWC, FWC > 90% and FACC. GWG until the 1st GDM visit was associated with FWC, FACC and FACC > 90% (all p ≤ 0.045). Other maternal parameters were not significantly associated with fetal anthropometry in multivariate analyses (all p ≥ 0.054). In female fetuses, only GWG was associated with FACC (p= 0.044). However, in male fetuses, prepregnancy BMI was associated with FWC, FWC > 90% and FACC and GWG with FWC in multivariate analyses (all p ≤ 0.030). In women with a prepregnancy BMI of ≥ 25 kg/m2 and a GWG until the 1st GDM visit ≥ 10.3 kg (mean GWG), the risk for FWC > 90% and FACC > 90% was 5.3 and 4 times higher than in their counterparts. Conclusions: A personalized fetal ultrasound surveillance guided by fetal sex, prepregnancy BMI and GWG may be beneficial in reducing adverse fetal and neonatal outcomes.