bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors Analysis of Employees’ Intention to Stay in Chemical Manufacturing
Authors: Juariyah Lohana , Hendra Wardana Tulus , AP Afwan Hariri 
Published: July 2020

Turnover is an organizational problem that should be kept low by the company, as hiring the employees is costly and time-consuming. There are many available strategies which organizatns can use to retain employees. The manufacturing industry in particular has trouble with employee retention, and has developed a number of standard operating procedures to address this issue. This study is focusing on ascertaining three things. First, what factors can lead employees to stay in the manufacturing industry? Second, what is the dominant factor lead employees to stay in the manufacturing industry? Data was taken by questionnaire from 104 respondents out of a total of 146 employees of PT Pamolite Adhesive Industry. The data was then analysed using confirmatory factor analysis with the Partial Least Square (PLS) technique. The results show that there are thirteen factors that contribute to manufacturing employees staying in their jobs, namely: recognition and appreciation factors; financial compensation; relationships with colleagues; relationship with supervisor; initial training; career development; work challenges; working hours; work conditions; workload; safety; health facilities; and job security. Additionally, the descriptive analysis shows that respondents' perceptions of those factors are relatively in good condition, however career development is the dominant factor in shaping the intention to stay amongst manufacturing employees. This study confirms a result study conducted in India which suggested that the intention to stay is determined by a cluster of factors not only by a single factor.
Keywords: Intention to Stay, Confirmatory Factors Analysis, Partial Least Square
Sedimentologic, stratigraphic, and structural evolution of minibasins and a megaflap formed during passive salt diapirism: The Neoproterozoic Witchelina diapir, Willouran Ranges, South Australia
Authors: Gannaway Dalton C. Evelyn , Giles Katherine A. , Rowan Mark G. , Langford Richard P. , Hearon Thomas E. , Fiduk J. Carl 
Published: July 2020

ABSTRACTThis study documents the growth of a megaflap along the flank of a passive salt diapir as a result of the long-lived interaction between sedimentation and halokinetic deformation. Megaflaps are nearly vertical to overturned, deep minibasin stratal panels that extend multiple kilometers up steep flanks of salt diapirs or equivalent welds. Recent interest has been sparked by well penetrations of unidentified megaflaps that typically result in economic failure, but their formation is also fundamental to understanding the early history of salt basins. This study represents one of the first systematic characterizations of an exposed megaflap with regards to sub-seismic sedimentologic, stratigraphic, and structural details. The Witchelina diapir is an exposed Neoproterozoic primary passive salt diapir in the eastern Willouran Ranges of South Australia. Flanking minibasin strata of the Top Mount Sandstone, Willawalpa Formation, and Witchelina Quartzite, exposed as an oblique cross section, record the early history of passive diapirism in the Willouran Trough, including a halokinetically drape-folded megaflap. Witchelina diapir offers a unique opportunity to investigate sedimentologic responses to the initiation and evolution of passive salt movement. Using field mapping, stratigraphic sections, petrographic analyses, correlation diagrams, and a quantitative restoration, we document depositional facies, thickness trends, and stratal geometries to interpret depositional environments, sequence stratigraphy, and halokinetic evolution of the Witchelina diapir and flanking minibasins. Top Mount, Willawalpa, and Witchelina strata were deposited in barrier-bar-complex to tidal-flat environments, but temporal and spatial variations in sedimentation and stratigraphic patterns were strongly influenced from the earliest stages by the passively rising Witchelina diapir on both regional (basinwide) and local minibasin scales. The salt-margin geometry was depositionally modified by an early erosional sequence boundary that exposed the Witchelina diapir and formed a salt shoulder, above which strata that eventually became the megaflap were subsequently deposited. This shift in the diapir margin and progressive migration of the depocenter began halokinetic rotation of flanking minibasin strata into a megaflap geometry, documenting a new concept in the understanding of deposition and deformation during passive diapirism in salt basins.
PALEOENVIRONMENTAL IMPLICATIONS OF TIME-AVERAGING AND TAPHONOMIC VARIATION OF SHELL BEDS IN LAKE TANGANYIKA, AFRICA
Authors: RYAN EMILY K. , SOREGHAN MICHAEL J. , MCGLUE MICHAEL M. , TODD JONATHAN A. , MICHEL ELLINOR , KAUFMAN DARRELL S. , KIMIREI ISMAEL 
Published: July 2020

ABSTRACTThe lake bottom along structural platforms in Lake Tanganyika, Africa, is carpeted with numerous large shell beds, known to be of late Holocene age, but of uncertain assemblage process. The shell beds may be the result of sedimentological (physical) assembly processes, or biological processes, or both. Previous work focused on the distribution of shell-rich facies, and showed time averaging of the surficial shell bioclasts over the last ∼ 1600 calendar years BP. We focus on an extensive shell deposit along a deltaic platform in Kungwe Bay, Tanzania and examine time-averaging and taphonomy of Neothauma tanganyicense shells to constrain sedimentological and biological processes forming concentrations of shells. New radiocarbon dating indicates that Neothauma shells are time-averaged over the last ∼ 3000 calendar years. Younger shells predominate shallow-water and exhibit unimodal age distributions, while shells from deeper-water exhibit a broader age distribution. Taphonomic results indicate that water depth and distance from the delta river mouth influence shell abrasion and encrustation with more encrustation developing away from sediment input points. Shells with black coatings and reddish-orange oxidation patinas suggest local burial and exposure. The age-frequency distributions of the shells suggest production rates of the shells vary over time and with water depth, tracking climatically driven lake-level changes (e.g., Little Ice Age, ∼ 100–650 BP). In addition, age-distributions suggest that (1) mixing of different populations are more prevalent along the steeper deltaic slopes, and (2) recent decreasing production rates may reflect anthropogenic land-use change and attendant sedimentation, which has implications for Neothauma itself, and for organisms that are obligate occupants of the shell beds. These results suggest both climatic and depositional processes play unique roles in the distribution and accumulation of shell beds in Lake Tanganyika, which informs interpretation of similar paleoenvironments in the geologic record.
Profundal Testate Amoebae (Arcellacea) of Lake Superior and Lake Michigan
Authors: Kornecki Krystyna M. , Katz Miriam E. 
Published: July 2020

Abstract
Sediment surface death assemblages of recent testate amoebae (Arcellacea) are reported from nine sites in Lake Superior and Lake Michigan. These are the first profundal sediment-water interface samples of testate amoebae described from either of the Great Lakes which provide valuable insight on deep-water, large-lake assemblages. Centropixid strains were present to abundant in shallower, nearshore sites (up to 66 m water depth). Assemblages at depths &gt;40 m were dominated by Difflugia oblonga “tenuis.” The shallowest sample (26 m) was dominated by Centropyxis aculeata “discoides” and Difflugia oblonga “tenuis.” Over 100 tests per sample were observed from &gt;100 m. Density of tests appears to be constrained by lithology rather than water depth. The deepest site (325 m) yielded low foraminiferal abundances. This pilot study provides a first step towards documenting the distribution of testate amoebae in the Great Lakes.
The Russian School of Foraminiferology
Authors: Mikhalevich Valeria , Bugrova Eleonora , Basov Valeriy , Zakrevskaya Elena , Dmitrieva Tatiana , Barash Maks 
Published: July 2020

Abstract
Russian foraminiferal research began in the late 19th century and has continued to the present. Micropaleontology was prominent at two main branches of Soviet research institutions, that in St. Petersburg, known as the Petersburgian (Leningrad) and in Moscow as the Russian foraminiferal school. These two collaborated in well-coordinated cooperative work all around the country. This combined school of foraminiferology included many accomplished scientists whose main achievements are summarized, including highlights of the leadership and the contributions of A. V. Fursenko, G. A. Dutkevich, D. M. Rauser-Chernousova, N. N. Subbotina, and A. Gerke. The sustained focus on evolutionary history and its significance for taxonomy resulted in the revision of higher-level taxonomy and new understanding of the phylogeny of the Foraminifera, as well as positive elaborations of the systematics, biostratigraphy and ecology of the Foraminifera.
WITHDRAWN: BMI status relative to international and national growth references among Pakistani school-age girls
Authors: Karim Asima , Qaisar Rizwan 
Published: July 2020

Abstract
Background

A sizable proportion of school-going children from developing countries has abnormal growth parameters, which are often not standardized with international reference values. We aimed to assess the prevalence of underweight, overweight, and obesity in the schoolgirls of Punjab according to international and local references.

Methods

In this population-based cross-sectional study, 10,050 school-going girls aged 8-16 years from 12 districts of northern, central, and southern Punjab were recruited. Estimates of normal weight, underweight, overweight and obesity were calculated in the girls according to three international BMI references including centers for disease control (CDC) 2000, the international obesity task force (IOTF) 2012 and world health organisation (WHO) 2007 in addition to a local reference for the population under study. We used Cohen's kappa statistics to analyse the agreement of our data with reference values.

Results

There was marked overestimation of underweight (23.9%, 14.5%, 15.2% and 4.37%), slight underestimation of overweight (5.3%, 7.3%, 7.9% and 8.97%) and moderate underestimation of obesity (1.9%, 1.5%, 2.2% and 5.67%) according to CDC, IOTF, WHO and local reference, respectively. When the weight status of the study cohort was compared with the local data, we found comparable results in all the four weight categories.

Conclusion

We recommend population-wide further studies to estimate the prevalence of weight status in school-age girls for devising appropriate references and for planning strategies for public health policy and management.
Postoperative pneumonia in geriatric patients with a hip fracture: incidence, risk factors and a predictive nomogram
Authors: Zhang Xin , Duan Xu-zhou , Tong Da-ke , Ji Fang , Xu Kai-hang , He Rong-zhi 
Published: July 2020

Abstract
Background : To evaluate the incidence and risk factors of postoperative pneumonia (POP) in geriatric patients with a hip fracture after surgery, to design a predictive nomogram and to validate the accuracy of the nomogram. Methods : We retrospectively studied 1285 surgical-treated geriatric patients with a hip fracture from April 2010 to April 2018. Surgical treatment was performed on the patients of this study. The procedure methods were classified as: total hip arthroplasty, hemiarthroplasty, percutaneous fixation, intramedullary nail fixation and plate/screw fixation. The primary interest of end point of this study is the development of POP during the postoperative period. The postoperative period in this study was defined as the time from 24 hours after surgery to discharge. The diagnostic criteria for pneumonia were set according to the guidelines built by the Infectious Diseases Society of America and the American Thoracic Society (Guidelines for the Management of Adults with Hospital-acquired, Ventilator-associated, and Healthcare-associated Pneumonia, 2005). Potential variables for developing POP were identified using logistic regression analyses initially and were further selected via the method of LASSO. Then the independent risk factors were identified by multivariable regression analyses. A predictive nomogram was built based on the multiple regression model, and the calibration abilities of the nomogram was measured by Harrel C-index, calibration plot and Hosmer-Lemeshow test respectively. Decision curve analysis was carried out to assess the net benefit due to threshold probability and an on-line questionnaire survey was conducted among the clinicians to assess the applicability of the nomogram coherently. Results: Of the 1285 patients, 70 (5.4%) developed POP. COPD, number of comorbidities, ASA classification > 2, preoperative dependent functional status and cognitive impairment were identified as independent risk factors of POP. The nomogram built based on the results showed good accordance between the predicted probabilities and the observed frequency. The decision curve analysis confirmed the clinical utility of the nomogram when the threshold probabilities were between 5% and 65% due to the net benefit, while the results of on-line questionnaire among 200 clinicians showed that 91.5% of the participants had a mental shreshold of intervention between 5-50%. Conclusion: 1. COPD, number of comorbidities, ASA classification > 2, preoperative dependent functional status and cognitive impairment were independent risk factors for POP. 2. The nomogram built in this study has a good accordance between the predictive risk and the observational incidence. The results of decision curve and questionnaire among clinicians show well applicability of the nomogram.
Tracing the origin, evolutionary history, and biological functions of CKI genes: a focus on Gossypium spp
Authors: Li Yaoyao , Li Yanlong , Chen Yuanyuan , Wang Maojun , Zhang Xianlong , Zhu Longfu , Min Ling 
Published: July 2020

Abstract
Background: Casein kinase I (CKI) is a kind of serine/threonine protein kinase highly conserved in plants and animals. Although molecular function of individual member of CKI family has been investigated in Arabidopsis, little is known about their origin and evolutionary history in the plant kingdom. Results: In this study, seven representative plant species (with a focus on cotton) are applied to study gene family evolution and characterize the origin of CKI genes. Three important insights were gained: (i) the ancestral CKI genes were traced back to 250 million years ago; the family expansion occurred in different plant species through independent genome duplication events; (ii) the CKI genes were classified into two types, on the basis of their structural characteristics; (iii) expression profile analysis revealed that cotton CKI genes had various expression patterns in different tissues and exhibited inducible expression in response to photoperiod (circadian clock), light signal and heat stress during cotton anther development. Conclusion: This study provides genome-wide insights into the evolutionary history of cotton CKI genes and lays a foundation for further investigation of their roles in specific developmental processes and/or environmental stress conditions.
The climate change mitigation effects of active travel
Authors: Brand Christian , Dons Evi , Anaya-Boig Esther , Avila-Palencia Ione , Clark Anna , Nazelle Audrey de , Gascon Mireia , Gaupp-Berghausen Mailin , Gerike Regine , Gotschi Thomas , Iacorossi Francesco , Kahlmeier Sonja , Laeremans Michelle , Nieuwenhuijsen Mark , Mendoza Juan Orjuela , Racioppi Francesca , Raser Elisabeth , Rueda David Rojas , Standaert Arnout , Stigell Erik , Sulikova Simona , Wegener Sandra , Panis Luc Int 
Published: July 2020

Abstract
Active travel (walking or cycling for transport) is considered the most sustainable form of getting from A to B. Yet the net effects of active travel on mobility-related CO2 emissions are complex and under-researched. Here we collected travel activity data in seven European cities and derived lifecycle CO2 emissions from daily travel activity. Daily mobility-related lifecycle CO2 emissions were 3.2 kgCO2 per person, with car travel contributing 70% and cycling 1%. Cyclists had 84% lower lifecycle CO2 emissions from all daily travel than non-cyclists. Lifecycle CO2 emissions decreased by -14% (95%CI -12% to -16%) per additional cycling trip and decreased by -62% (95%CI -61% to -63%) for each avoided car trip. An average person who ‘shifted travel modes’ from car to bike decreased lifecycle CO2 emissions by 3.2 (95%CI 2.0 to 5.2) kgCO2/day, and using a bike as the ‘main method of travel’ gave 7.1 (95%CI 4.8 to 10.4) kgCO2/day lower lifecycle CO2 emissions than mainly using a car or van. Investing in and promoting active travel should be a cornerstone of strategies to meet net zero carbon targets, particularly in urban areas, while also improving public health and quality of urban life.
KIFC1 accelerates the proliferation, migration and invasion of papillary thyroid cancer cells via MAPK signaling
Authors: Nie Chunlei , Han Jihua , Bi Wen , Chen Lili , Yu Jiawei , Pang Rui , Jia Jinliang , Liu Bo , Sheng Ruinan , Zhang Jiewu 
Published: July 2020

Abstract
Kinesin family member C1 (KIFC1) acts as a kind of minus end-directed motorized protein and is considered as an oncogene of some cancer types. However, no studies have fully elucidated its biological activity and molecular mechanisms in papillary thyroid cancer (PTC). The study focused on reporting the overexpression of KIFC1 in cell lines and tissues of PTC. Moreover, clinicopathological features analysis showed that KIFC overexpression is significantly correlated with extrathyroidal invasion and lymph node metastasis. Knockdown of KIFC1 significantly reduced cell growth, migration and invasion in PTC cells, and concomitant increased levels of differentiation markers, such as Tg and Nis. Knockdown of KIFC1 markedly increased the expression level of epithelial cell marker (E-cadherin), and decreased the expression levels of epithelial-mesenchymal transition (EMT) related transcriptional factor N-cadherin, Snail and ZEB1. Further study revealed that knockdown of KIFC1 downregulated stemness markers ALDH2 and SOX2, and inhibited the MAPK signaling cascades and downstream signaling, including p-ERK, ERK, p-JNK, JNK, MMP2, and MMP9, which can affect the expression of the EMT associated factors. Taken together, we reported that KIFC1 might promoted the proliferation, migration and invasion of PTC cells and offer a candidate molecular target for therapeutic intervention.
Risk and impact of using mask on COPD patients with acute exacerbation during the COVID-19 outbreak: a retrospective study
Authors: Mo You , Wei DunCan , Mai Qi , Chen Chongyue , Yu Hanguang , Jiang Chaowen , Tan Xuerui 
Published: July 2020

Abstract
Background：Chronic Obstructive Pulmonary Disease（COPD) is an inflammatory airway disease characterized by the presence of expiratory flow limitation. Exacerbations of COPD are common acute events. During epidemic of COVID-19, concerns have been raised with regard to mask- using because of increasing respiratory resistance. In this study, we aimed to evaluate the relationship between the vital signs , inflammation index, hypercapnia, hypoxia and mask-using in AECOPD patients.Methods：This retrospective study was performed at a tertiary hospital, and enrolled 23 patients with AECOPD who were hospitalized three or more times in the respiratory department. Patients in Group C were hospitalized and used masks during the epidemic period of COVID-19. Patient’s data of the previous two hospitalizations from the medical record system divided into group A and group B according to the time sequence. Vital signs, inflammation index, artery blood gas from medical record system and questionnaires of three hospitalizations in the same patient were collected to perform paired test.Results: Surgical mask using increased the levels of PaCO2 (8.98mm Hg; p = 0.004), HCO3-act (4.1mmol/L; p =0.006), BE (3.01mmol/L; p =0.019) and systolic blood pressure (11.39mm Hg; p = 0.01) in patients with AECOPD compared to last hospitalization. Surgical mask using for 30 to 120 minutes is associated with hypercapnia. There were no significant differences observed between group B and group A without using mask in vital signs, inflammation index, and artery blood gas.Conclusions: In this study, we found that systolic blood pressures and PaCO2, HCO3-act, BE were significantly elevated in AECOPD patients using masks compared to the other groups without masks. In addition，the changes in PaCO2,HCO3-act,BE is closely related to serum chloride concentration. Therefore, it is need to increase awareness and understanding of the use of masks in patients with chronic cardiopulmonary diseases.
Mobile Device ECG Classification using quantized Neural Networks
Authors: Moura Vigno , Almeida Vilson , Santos Domingos Bruno Sousa , Costa Nator , Sousa Luciano Lopes , Pimentel Pedro Cunha 
Published: July 2020

Abstract
In this paper, a novel method for classifying electrocardiogram signals in mobile devices is proposed, which classifies different arrhythmias according to the Association for the Advancement of Medical Instrumentation standard EC57. A convolutional neural network has been constructed, trained and validated with the MIT-BIH Arrhythmia Dataset, which has 5 different classes: normal beat, supraventricular premature beat, premature ventricular contraction, fusion of ventricular and normal beat, unclassifiable beat. Once trained and validated, the model is subjected to a post-training quantization stage using the TensorFlow Lite conversion method. The obtained results were satisfactory, before and after the quantization, the convolutional neural network obtained an accuracy of 98.5%. With the quantization technique it was possible to obtain a significant reduction in model size, thus enabling the development of the mobile application, this reduction was approximately 90% compared to the original model size.
Development and validation of a prognostic risk score system for COVID-19 inpatients: A multi-center retrospective study in China
Authors: Yuan Ye , Sun Chuan , Tang Xiuchan , Cheng Cheng , Mombaerts Laurent , Wang Maolin , Hu Tao , Sun Chenyu , Guo Yuqi , Li Xiuting , Xu Hui , Ren Tongxin , Xiao Yang , Xiao Yaru , Zhu Hongling , Chen Chuming , Liu Yingxia , Liang Zhichao , Cao Zhiguo , Zhang Hai-Tao , Paschaldis Ioannis Ch. , Liu Quanying , Goncalves Jorge , Zhong Qiang , Yan Li 
Published: July 2020

Abstract
Coronavirus Disease 2019 (COVID-19) has become a world-wide pandemic. Hospitalized patients of COVID-19 suffer from a high mortality rate, motivating the development of convenient and practical methods for clinicians to promptly identify high-risk patients. Here we developed a risk score using clinical data from 1,479 inpatients admitted to Tongji Hospital, Wuhan, China (development cohort) and externally validated with data from two other centers: 141 inpatients from Jinyintan Hospital in Wuhan (validation cohort 1) and 432 inpatients from the Third People’s Hospital Shenzhen (validation cohort 2). The risk score is based on three biomarkers readily available in routine blood samples and can be easily translated into a probability of death. The risk score can predict the mortality of individual patients more than 12 days in advance with more than 90% accuracy across all cohorts. Moreover, the Kaplan-Meier score shows that patients upon admission can clearly be differenciated into low, medium or high risk, with an AUC score of 0.9551. In summary, a simple risk score was validated to predict death in patients infected with COVID-19 and was validated in independent cohorts.