bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Quality Management Practices on the Performance ofEmployees: A Case Study of Selected Banks of Pakistan
Authors: Awan Prof.Dr.Abdul Ghafoor 
Published: June 2022

Abstract
In today competitive environment, having a loyal and satisfied customer increases revenues, reduces costs, builds market shares, and improves bottom lines. The objective of this paper is to examine the quality management practices (QMP) that affect employee service behavior. We selected five variables for quality management practices and they include employees reward, employee’s empowerment, employee’s commitments, and customer focus and employees leadership. It is assumed that these factors are unique in banking industry and significantly effect on employee service performance. We developed a structured questionnaire through which we collected from 200 employees working in selected banks such as Soneri Bank Ltd, Habib Bank Ltd, United Bank Ltd, and Muslim Commercial Bank Ltd. We examined the relationship between employee empowerment, employee commitment, employee reward, and customer focus and employees leadership with performance of employees. Multiple Regression method was used to measure the relationship between dependent and independent variables. Our Results show that quality management practices such as employees’ commitment, reward, leadership, empowerment, and customer focus have significant effect on the performance of employees. The empirical evidence shows that employee empowerment has significant relation with performance of employees.
Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors
Authors: Ruppin Eytan , Sinha Sanju , Vegesna Rahulsimham , Kammula Ashwin , Dhruba Saugato Rahman , Wu Wei , Kerr Lucas , Nair Nishanth , Jones Matthew , Yosef Nir , Stroganov Oleg , Grishagin Ivan , Aldape Kenneth , Blakely Collin , Jiang Peng , Thomas Craig , Benes Cyril , Bivona Trever G. , Schäffer Alejandro 
Published: June 2022

Abstract
Tailoring the best treatments for individual cancer patients is an important open challenge. Here, we build a precision oncology computational pipeline for PERsonalized single-Cell Expression-based Planning for Treatments In ONcology (PERCEPTION). Our approach capitalizes on recently published matched bulk and single-cell (SC) transcriptome profiles of large-scale cell-line drug screens to build treatment response models from patients' SC tumor transcriptomics. We start by showing that PERCEPTION successfully predicts the response to monotherapy and combination treatments in screens performed in cancer and patient-tumor-derived primary cells based on their SC-expression profiles. Our key result is that PERCEPTION successfully stratifies responders to combination therapy based on the patients’ tumor’s SC-expression, as tested in two recently published clinical trials, including multiple myeloma and breast cancer. Thirdly, studying the emergence of resistance via a recent SC non-small cell lung cancer (NSCLC) patients’ cohort, we show that PERCEPTION successfully captures and quantifies the development of patients’ resistance during treatment with tyrosine kinase inhibitors. Notably, PERCEPTION predictions markedly outperform that of bulk expression-based predictors in all these cohorts. In sum, this study provides a first-of-its-kind conceptual and computational method demonstrating the feasibility of predicting patients' response from SC gene expression of their tumors.
How to Harvest Water from the air? The evidence from Bolivia
Authors: Urquidi Ariel , Czarnecki Lukasz 
Published: June 2022

Abstract
The objective of this paper is to analyze how to harvest water from the air in Bolivia. In order to collect water from the air by means of condensation two fog collectors were built in Kañuma, located in La Paz, the capital of Bolivia. Environmental conditions, such as wind direction and velocity, temperature, humidity, barometric pressure, were calculated using a Davis Vantage Pro2 weather station. The formal Quasi-Experimental Research was implemented, determining the cause-effect relation of quantity of water collected and environmental conditions in the lapse of 21 days. Daily controls were performed, analyzing the volume of harvested water regarding evapotranspiration and the psychrometric constant. Our results show that it has been possible to harvest almost 89 ml/day/m2 in both models, in just 21 days of experimentation. In addition, we want to shed light on sustainable development and public policy implementation on water collection alternatives, especially for high and mountainous areas, where we can locate some of the poorest communities in Bolivia.
WITHDRAWN: Evaluation of global climate models for the simulation of precipitation based on temporal and spatial assessment metrics in China
Authors: Lei Yawen 
Published: June 2022

Abstract
Global climate models of Coupled Model Inter-comparison Project 6 (CMIP6) has designed with the Shared Socioeconomic Pathways (SSPs) to project future climate change signal. Performance of 21 global climate models (GCMs) of CMIP6 was evaluated in this study in replicating cma rainfall in China for 1961–2014 period. Taylor diagram, Kolmogorov-Smirnov statistic (KS) and six spatial metrics including Goodman-Kruska’s lambda (λ), Cramer’s V, Theil U, Fraction skill scores (FSS), SPAtial Efficiency metric (SPAEF) and Kling-Gupta efficiency (KGE) are used for the evaluation. Comprehensive rating metrics (RM) based on six spatial metrics were used for the ranking of the GCMs for the evaluation of annual and seasonal precipitation. The results showed that most GCMs overestimate the annual and seasonal precipitation in the mainland of China. Moreover, some differences are indicated in the ranks of GCMs for different metrics. The overall ranks indicated IPSL-CM6A-LR, EC-Earth3-Veg, EC-Earth3, IPSL-CM6A-LR and EC-Earth3 are most suitable GCMs for simulating annual, spring, summer and fall precipitation in Taylor diagram at the resolution of the observations. FGOALS-g3 is the most skillful in annual and four seasonal except fall precipitation but MPI-ESM1-2-HR for fall precipitation in temporal metric, but BCC-CSM2-MR, GFDL-ESM4, EC-Earth3-Veg, BCC-CSM2-MR, MRI-ESM2-0 are the most suitable GCMs for simulating annual, winter, spring, summer and fall precipitation in comprehensive spatial metrics at the resolution of raw GCMs. For the suitable selection of an ensemble of GCMs to reduce uncertainties in climate projections, the approach proposed in this study can be extended to any number of GCMs and climate variables and applicable to any region.
Optimization of Multi-Supplier Collaborative Transportation Based on K-Shortest Path Algorithm
Authors: Wang Ai-Hui , Han Xiao-Bo , Liao Wu-Dai , Liu Ping , Song Jing-Wen , Li Da-Ming 
Published: June 2022

Abstract
With the wide application of big data and artificial intelligence technology in road traffic, road planning makes logistics and transportation services more efficient. For the supplier's transportation service problem, a multi-supplier collaborative transportation strategy is designed in this paper. First, we establish a model to minimize the transportation cost, then we simulate a path diagram and calculate the optimal transportation paths of suppliers based on Dijkstra's algorithm. In addition, we obtain multiple alternative paths with K-shortest path algorithm. Finally, simulations of collaborative transportation for suppliers are performed in three scenarios and the results are used to prove the effectiveness of the proposed collaborative transportation strategy. This strategy not only can strengthen the synergistic cooperation among suppliers, but also cultivate the potential customer. Furthermore, it also could improve the flexibility of the supply chain, maximize the overall efficiency and provide a new solution for the development of logistics and transportation services.
Genome resequencing facilitates high resolution exploration of a maize quantitative trait locus for resistance to aflatoxin accumulation
Authors: Shan Xueyan , Williams W. Paul , Peterson Daniel G. 
Published: June 2022

Abstract
Aflatoxin contamination is a major threat to maize production in the Southeastern United States. Screening for genetic resistance to aflatoxin has led to the identification of aflatoxin-resistance quantitative trait loci (QTL) in maize inbred lines. However, these QTLs typically span large DNA regions making identification of actual resistance-associated sequences difficult. In this study, we took the portion of the maize B73 genome at chromosome bin 4.06 (APG v3) containing a 22 Mbp QTL (QTL-4.06) associated with aflatoxin resistance and used it as a reference to identify single-nucleotide polymorphisms (SNPs) and insertion/deletion variants (INDELs) that differ between resistant (Mp313E and Mp715) and susceptible (B73 and Va35) maize inbred lines. Our study provides a rich list of SNPs and INDELs that can be used as markers in fine-mapping of candidate regions in QTL-4.06 and demonstrates the great potential of resequencing in generating higher density molecular maps that can be leveraged in molecular breeding-based crop improvement.
Identification of potential candidate genes and dysregulated mechanisms of heart failure
Authors: Wang Fei-fei , Liang Xiao-yan , Han Ya-fan , Sang Wan-yue , Yang Hang , Wang Lu , Sun Hua-xin , Li Yao-dong , Tang Bao-peng 
Published: June 2022

Abstract
Background
Heart failure (HF) adversely affects quality of life. This work aims to increase the understanding of the biology of HF in order to identify candidate markers that can provide the most effective diagnosis and treatment.
Methods
Gene expression profiles in HF and non-failing (NF) samples were collected from GSE116250 and GSE141910. Differentially expressed genes (DEGs) between HF and NF were identified, and common genes were obtained using intersection analysis. Enrichment analysis was performed to identify biological mechanisms underlying HF. Further, candidate genes were screened using the least absolute shrinkage and selection operator (LASSO) analysis. The diagnostic role of candidate genes to predict the occurrence of HF was evaluated by meta-analysis and ROC curves. In addition, we also utilized xCell to analyze the differences in immune cell infiltration between HF and NF.
Results
A total of 379 common genes were obtained as differentially expressed between HF and NF. Enrichment analysis identified common genes mainly involved in the immune response, Toll-like receptor signaling pathway. Through the LASSO model, we identified eight candidate genes (PHLDA1, C1QTNF2, SPC24, FNDC1, FREM1, SLC16A9, PLA2G2A, and S1PR3). The meta-analysis and ROC curves results suggest that the candidate genes are highly sensitive for the diagnosis of HF. Finally, we found that neutrophil, B cell plasma, and Th1 CD4 + T cell were significantly infiltrated in HF.
Conclusion
To identify potential diagnostic and therapeutic candidate genes using gene expression profiling of HF patients. In the future, more efforts are needed to investigate the role of candidate genes in HF.
A rise-assisting robot extends life space and improves facial expressions of nursing home residents
Authors: Kato Kenji , Yoshimi Tatsuya , Aimoto Keita , Sato Kenji , Itoh Naoki , Kondo Izumi 
Published: June 2022

Abstract
Background: The introduction of nursing care-support devices using robotic technology is expected to reduce the task burden in long-term care facilities. But the implementations are not proceeding as expected.Objective: To investigate the use of the rise-assisting robot, Resyone, in extending and improving the life space of nursing home residents with severe care needs. Methods: Resyone was used to facilitate visits to additional sites in and around the home as part of the care package of three residents. Two weeks before and four weeks after implementation of the new arrangements, the 30 caregivers involved were asked to record transfer times and destinations, while also checking the residents’ facial expressions.Results: Before implementation, participants had limited life spaces, but afterwards they regularly visited additional destinations including the garden, home entrance and corridors, which previously they had not visited frequently. The residents' facial expressions became more positive and less negative. This study demonstrates that Resyone can enrich care activities in severely disabled individuals.Conclusion: These findings suggest that the sustainable use of Resyone would improve the quality of care at care facilities. Moreover, the extension of otherwise limited life space has the potential to improve care receivers’ quality of life.
WITHDRAWN: Development and validation of a machine learning-based nomogram for prediction of ankylosing spondylitis
Authors: Zhu Jichong , Lu Qing , Liang Tuo , Jiang Jie , Li Hao , Zhou Chenxin , Wu Shaofeng , Chen Jiarui , Chen Tianyou , Deng Guobing , Yao Yuanlin , Liao Shian , Yu Chaojie , Huang Shengsheng , Sun Xuhua , Chen Liyi , Chen Wenkang , Ye Zhen , Guo Hao , Chen Wuhua , Jiang Wenyong , Fan Bingguang , Tao Xiang , Zhan Xinli , Chong Liu 
Published: June 2022

Abstract
Background: Ankylosing spondylitis (AS) is a chronic progressive inflammatory disease of the spine and its affiliated tissues. AS mainly affects the axial bone and the sacroiliac joint, hip joint, spinal facet, and adjacent ligaments. We used machine learning (ML) methods to construct diagnostic models based on blood routine examination, liver function test, and kidney function test of patients with AS to help clinicians enhance diagnostic efficiency and allow patients to receive systematic treatment as soon as possible.Methods: We consecutively screened 348 patients with AS through complete blood routine examination, liver function test, and kidney function test at the First Affiliated Hospital of Guangxi Medical University according to the modified New York criteria (diagnostic criteria for AS). By using random sampling, the patients were randomly divided into the training and validation cohorts. The training cohort included 258 patients with AS and 247 non-AS patients. The validation cohort included 90 patients with AS and 113 non-AS patients. We used three ML methods (LASSO, random forest, and support vector machine recursive feature elimination) to screen feature variables and then took the intersection to obtain the prediction model，In addition, we used the prediction model on the validation cohort.Results: Seven factors—ESR, RBC, MPV, ALB, AST, and Cr—were selected to construct a nomogram diagnostic model through ML. In the training cohort, the C value and AUC value of this nomogram were 0.878 and 0.8779462, respectively. The C value and AUC value of the nomogram in the validation cohort were 0.823 and 0.8232055, respectively. Calibration curves in the training and validation cohorts showed satisfactory agreement between nomogram predictions and actual probabilities. The decision curve analysis showed that the nonadherence nomogram was clinically useful when intervention was decided at the nonadherence possibility threshold of 1%.Conclusion: Our ML model can satisfactorily predict patients with AS. This nomogram can help orthopedic surgeons devise more personalized and rational clinical strategies.
Classification of audio signals using spectrogram surfaces and inherent distortion measures
Authors: Levy Jeremy , Naitsat Alexander , Zeevi Yehoshua Y. 
Published: June 2022

Abstract
Representation of one-dimensional (1D) signals as surfaces and higher dimensional manifolds reveals geometric structures that can enhance assessment of signal similarity and classification of large sets of signals. We therefore represent 1D signals as surface objects embedded in higher dimensional Euclidean or other spaces. Specifically, since we are concerned with audio signals, the spectrogram is utilized for the representation of the 1D signals by surfaces, but a handful of other representations in combined spaces such as wavelets can be utilized for this purpose. A novel class of geometric features is then extracted by parameterizing the surfaces, and by utilizing distortion measures that are defined with reference to them. This yields a set of highly descriptive features that are instrumental in our approach to feature engineering, analysis and classification of audio or other 1D signals. Two examples of audio signals were selected to illustrate applications and the capabilities of the new approach: Lung sounds were chosen in view of the interest nowadays in respiratory pathologies caused by the Corona virus and environmental problems; Accent detection was selected as an example of a challenging speech problem. The proposed approach outperformed baseline models under all measured metrics. Our novel approach to 1D signal representation and processing can be further extended considering higher dimensional distortion measures.
A bistable and reconfigurable molecular system with encodable bonds
Authors: Zhou Chunyang , Yang Donglei , Sensale Sebastian , Sharma Pranav , Wang Dongfang , Yu Lei , Arya Gaurav , Ke Yonggang , Wang Pengfei 
Published: June 2022

Abstract
Molecular systems with ability to controllably transform between different conformations play pivotal roles in regulating biochemical functions. Here we report the design of a bistable DNA origami junction (DOJ) molecular system that adopts two distinct stable conformations with controllable reconfigurability by employing conformation-controlled instead of geometry-matched base stacking. Exquisite control over DOJ’s conformation and transformation is realized by programming the stacking bonds within the junction to induce prescribed coaxial stacking of neighboring junction arms. A specific DOJ conformation can be achieved by encoding the stacking bonds with 8-bit binary stacking sequences from thermodynamic calculations. Dynamic transformation of DOJ between various conformations are achieved by using specific external stimulations to reprograme the stacking codes. This work provides a useful platform for constructing self-assembled DNA nanostructures and nanomachines, and insights for furture design of artificial molecular systems with increasing complexity and reconfigurablity.
Incidence, survival of primary colorectal lymphoma over 40 years and a nomogram based on SEER database and an independent validation
Authors: Zhao Fuqiang , Huang Liling , Chen Jianan , Mei Shiwen , Wang Zhijie , Wei Fangze , Li Juan , Xiao Tixian , Zhao Wei , Liu Qian 
Published: June 2022

Abstract
Background: The purpose of this study was to clarify trends in the incidence, survival, and prognosis of patients with primary colorectal lymphoma (PCL) and to establish a nomogram for primary colorectal diffuse large B-cell lymphoma (PC-DLBCL).Methods: Patients diagnosed with PCL from 1975 to 2018 in the Surveillance, Epidemiology, and End Results (SEER) database were included for assessment of temporal trends in incidence. Clinical data of patients from 1975 to 2015 were extracted for survival and prognostic analysis. Patients diagnosed with PC-DLBCL from 2009 to 2017 in our department were designated as an independent validation dataset. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors affecting overall survival (OS) and disease-specific survival (DSS). A nomogram was constructed specifically for PC-DLBCL and evaluated by C-index, calibration curves, receiver operating characteristic (ROC) curves, and decision-curve analysis (DCA) plots. Results: The study included a total of 2644 patients diagnosed with PCL. From 1975 to 2018, the incidence of PCL increased from 1.13/1000000﻿(adjusted to the US standard population in 2000) to 2.54/1000000, With an obvious growth trend (annual percentage change = 2.91, 95% confidence interval 2.29–3.94, P < 0.05). The incidence of PCL increased steadily before 2005 and decreased annually since then. The survival outcome of PCL improved over four decades (P < 0.0001). Both the OS and DSS were affected independently by age, marital status, pathological subtype, Ann Arbor stage, surgery and chemotherapy. Besides, the nomogram for PC-DLBCL was constructed to predict 1-year, 3-year, 5-year, and 10-year OS and DSS with robust and accurate performance. Moreover, risk stratification based on the nomogram score was accomplished.Conclusion: The incidence of PCL presented with a parabola-like trend, along with improved survival outcomes over the past 40 years. The nomogram for PC-DLBCL was capable of predicting the 1-, 3-, 5- and 10-year OS and DSS with high accuracy and help identify high-risk patients who might need more intensive medical care.
The novel solid solutions with titanite structure: arsenates, phosphates, and vanadates of the tilasite group
Authors: Koshlyakova Natalia N. , Pekov Igor V. , Agakhanov Atali A. , Nazarova Maria A. 
Published: June 2022

Abstract
The solid-solution system between natural arsenates, vanadate, and phosphate of the tilasite group are characterized. The material originates from sublimates of the active Asenatnaya fumarole, Tolbachik volcano, Russia and paleofumaroles of Thomas Range, Utah, USA. The tilasite-group minerals were formed under the oxidizing conditions at temperatures > 300°C. The minerals belong to the titanite structure type and have the general formula AM(TO4)X in which A are Ca and Na in sevenfold coordination, M are octahedrally coordinated Mg, Al, Fe3+, and Ti, T are tetrahedrally coordinated pentavalent As, P, and V, and X are O or F. The studied minerals show wide-range isomorphous substitutions at all these sites except of O atoms coordinating T. Maxwellite NaFe3+(AsO4)F and durangite NaAl(AsO4)F form a solid-solution series with only homovalent substitution Fe3+ ↔ Al. Two systems with heterovalent substitutions are observed: (1) with the major substitution Mg ↔ Fe3+ between tilasite CaMg(AsO4)F, maxwellite and a hypothetic end-member CaFe3+(AsO4)O and (2) with the major substitution M3+ ↔ Ti4+ between arsenatrotitanite NaTi(AsO4)O, durangite, maxwellite and CaFe3+(AsO4)O. In both cases the charge balance is achieved by coupled substitutions ANa+ ↔ ACa2+ and XF− ↔ XO2−. Two novel mineral varieties belong to these solid solutions, namely a MFe3+-dominant variety of tilasite with the formula close to (Ca2/3Na1/3)(Fe3 + 2/3Mg1/3)(AsO4)(F2/3O1/3) and an XO-dominant variety of maxwellite with the formula (Na2/3Ca1/3)(Fe3 + 2/3Ti1/3)(AsO4)(O2/3F1/3). Another solid solution forms between reznitskyite CaMg(VO4)F, tilasite and isokite CaMg(PO4)F with the major substitutions TAs5+ ↔ TV5+ ↔ TP5+. All these solid solutions are novel and highlight the specific crystal chemistry of fumarolic oxysalts with the titanite-type structure.