bluuebunny/crossref_metadata_2025_split huggingface dataset:
Should I report abuse? - Attitudes toward doping testing and anonymous reporting in the Whistlebower programme
Authors: Kajtna Tanja , Zajc Luka , Makuc Nina 
Published: August 2022

Abstract

Background Despite all endeavours to prevent it, the use of performance-enhancing substances continues to occur in sports and social science research suggests that doping prevalence is likely much higher than what is found through testing. One of the ways to uncover doping violators is through reporting illicit drug use, through “doping whistleblowing” – the readiness to do so depends highly on the level of our moral development and the motivation to do so. It was exactly this method, which helped uncover some of the biggest doping scandals in sport in the past few years and our purpose in this study was to examine attitudes toward drug testing and anonymous reporting and see, if we can predict an athlete’s intention to report anonymously based on attitudes toward drug testing. Methods 255 top athletes and coaches from Estonia and Slovenia-two small, athletically successful countries-participated in this study, 176 male and 79 female, 156 athletes and 99 coaches form team and individual sports. They filled out an attitudes questionnaire about drug testing and an anonymous report. The participants filled out a questionnaire online. We used t – test to compare subgorups of participants and correlation and linear regression to look for relations between doping attitudes and willingness to make an anonymous report. Results Comparisons of subgroups of participants revealed that female participants are more likely to believe that taking banned substances should be punished but are less likely to make an anonymous report. We also found that coaches seem to be better informed about the issue of doping than athletes and trust NADO more than athletes. We found several correlations between attitudes toward doping testing and those toward anonymous report and we tried to predict the willingness to make an anonymous report. We found several predictors, which were different for men and women. Conclusions NADOs play an important role in creating conditions, which will enable people to report doping anonymously, but it has to be done both through education and through rigorous testing. This will ensure that whistleblowing can become an active part of the fight for clean sport.
An integrated oxygen electrode derived from flexible single-wall carbon nanotube film for rechargeable Zn-Air batteries produced by electro-polymerization
Authors: Hou Peng-Xiang , Meng Yu , Zhao Yi-Ming , Li Jing-Cheng , Shi Chao , Zhang Lili , Liu Chang , Cheng Hui-Ming 
Published: August 2022

Abstract
The development of low-cost, high-activity, and durable integrated bifunctional flexible air electrodes for use in Zn-Air batteries is both challenging and needed. We report a simple and scalable electro-polymerization method to prepare an electrode material of heavily N-doped carbon covering single-wall carbon nanotube (N/C-SWCNT) networks. The resulting core/shell structure hybrid electrode has the flexibility, mechanics, and three-dimensional interconnected porous structure of SWCNT films while containing abundant pyridinic N, which gives it excellent catalytic activity for both the oxygen reduction and evolution reactions (overpotential gap = 0.76 V). A binder-free Zn-Air battery using the N/C-SWCNT film as an oxygen electrode was assembled and showed a high peak power density of 181 mW/cm2, a high specific capacity of 810 mAh/g and stable discharge-charge cycling ability. We also constructed a flexible solid-state Zn-Air battery with not only a high power density of 22 mW/cm2, but also good flexibility and stability.
Classification of Acute Lymphocytic Leukemia (ALL) using Ventral-Dorsal and bottleneck Attention-based Network(VDBAN)
Authors: Zolfaghari Mohammad , Sajedi Hedieh 
Published: August 2022

Abstract
One of the diseases with a high mortality rate worldwide is leukemia or blood cancer. Therefore, a timely and reliable diagnosis of leukemia is essential. Today, Artificial Intelligence and Deep Learning methods can automatically, quickly, and cost-effectively identify many diseases. In this paper, the state-of-the-art Convolutional Neural Network (CNN)based on the proposed attention blocks is introduced for the automatic classification of Acute Lymphoblastic Leukemia (ALL) and normal (healthy) cell images. Before sending images to the network, the preprocessing operation, including data augmentation and White Blood Cells (WBCs, or Leuko cytes) segmentation by Circular Hough Transform (CHT), is performed. Then, the proposed network attention blocks are designed and implemented based on the ventral and dorsal pathways of the occipital lobe that process visual information in the brain. The proposed network is ResNet18, in which the VentralDorsal Attention Block (VDAB) is embedded inside its blocks and the Bottleneck Attention Block (BAB) between them. Therefore, it is called Ventral-Dorsal and Bottleneck Attention Network (VDBAN). We designed three networks, including the first model (ResNet18), the second model (ResNet18 + VDAB) and the proposed model ((ResNet18+ VDAB + BAB) or VDBAN), and trained and tested them with similar parameters on the ALL-IDB2 database. The simulation results showed that the proposed model had obtained the highest value in all performance metrics compared to the other two models in the test step.
Patient reported Impact of Emergency Laparotomy on Employment and Health Status in Patients at One Year Post Surgery
Authors: McIlveen Erin Catherine Sloan , Edwards Jennifer , Vella Mark , McKinlay Laura , Hancock Claire , Quasim Tara , Moug Susan J 
Published: August 2022

Abstract
Background
Whilst there has been significant improvement in mortality outcomes after emergency laparotomy, there is little information on longer term outcomes in the year after discharge. The main aim of the study was to assess the impact that an emergency laparotomy has on patients’ health and employment one-year after surgery.
Methods
This study was a questionnaire study conducted in a single centre district general hospital of patients who had undergone an emergency laparotomy between October 2015 and December 2016. Patients were included according to the National Emergency Laparotomy Audit criteria. At screening, patients who were alive at 1 year and had capacity to consent were approached between January and December 2017. Patients underwent a researcher-led telephone interview using a semi-structured questionnaire to assess the impact on overall, general and physical health (Glasgow Benefit Inventory) as well as employment status. The symptoms patients experienced, and their impact were also recorded.
Results
Forty-two patients responded to and completed the questionnaire. Just over one third of patients experienced a deterioration in their general or physical health and twenty-one percent of patients experienced a change in employment. Factors which significantly impacted on health status were stoma issues, postoperative morbidity and a change in employment (p < 0.05). The main symptoms which patients identified as being troublesome were bowel function and stoma issues with a resultant social and psychological impact.
Conclusions
One third of patients experienced a deterioration in their psychosocial and physical health status as well as a change in employment during the first-year post-surgery. Larger research studies are required to define the impact of emergency laparotomy on patients in the longer term and more research is needed to improve perioperative rehabilitation in the post-operative period to ensure optimal functional gain after technically successful surgery.
Identification of aquaporin 3 and cytochrome P450 2J2 as potential biomarkers associated with heart failure caused by idiopathic dilated cardiomyopathy
Authors: Sun Mengyi , Li Linping 
Published: August 2022

Abstract
Background
The genetic factors and pathogenesis of idiopathic dilated cardiomyopathy-induced heart failure (IDCM-HF) have not been understood thoroughly; there is a lack of specific diagnostic markers and treatment methods for the disease. Hence, we aimed to identify the mechanisms of action at the molecular level and potential molecular markers for this disease.
Methods
Gene expression profiles of IDCM-HF and non-heart failure (NF) specimens were acquired from the database of Gene Expression Omnibus (GEO). We then identified the differentially expressed genes (DEGs) and analyzed their functions and related pathways by using “Metascape”. Weighted gene co-expression network analysis (WGCNA) was utilized to search for key module genes. Candidate genes were identified by intersecting the key module genes identified via WGCNA with DEGs, further screened via the support vector machine-recursive feature elimination (SVM-RFE) method and the least absolute shrinkage and selection operator (LASSO) algorithm, and verified using the external data set, to obtain reliable biomarkers.
Results
We detected 490 genes exhibiting differential expression between IDCM-HF and NF specimens from the GSE57338 dataset, with most of them being concentrated in the extracellular matrix of cells related to biological processes and pathways. Finally, thirteen candidate genes were identified via screening. Aquaporin 3 (AQP3) and cytochrome P450 2J2 (CYP2J2) showed high specificity and sensitivity in the GSE57338 and GSE6406 datasets, respectively. In comparison to the NF group, AQP3 was significantly down-regulated in the IDCM-HF group, while CYP2J2 was significantly up-regulated. AQP3 and CYP2J2 might represent new targets for diagnosing and managing IDCM-HF patients.
Conclusion
As far as we know, this is the first study that combines WGCNA and machine learning algorithms to screen for potential biomarkers of IDCM-HF. Our findings suggest that AQP3 and CYP2J2 could be used as novel diagnostic markers and treatment targets of IDCM-HF.
Epithelium-derived SCUBE3 promotes polarized- odontoblast differentiation of dental mesenchymal stem cells and vascularized pulp regeneration
Authors: Wang Zijie , Chen Chuying , Zhang Jiayi , He Jiangdie , Zhang Lin , Wu Jiayuan , Tian Zhihui 
Published: August 2022

Abstract
Background
Signal peptide-CUB-EGF domain-containing protein 3 (SCUBE3), a secreted multifunctional glycoprotein, whose transcript expression is restricted to the tooth germ epithelium (Epi) during the development of embryonic mouse teeth, has been demonstrated to play a crucial role in the regulation of tooth development. Based on this, we hypothesized that epithelium-derived SCUBE3 contributed to bio-function in dental mesenchymal cells (Mes) via epithelium-mesenchyme interactions.
Methods
Immunohistochemical staining and a co-culture system were performed to reveal the temporospatial expression of SCUBE3 protein during mouse tooth germ development. In addition, human dental pulp stem cells (hDPSC) were used as a Mes model to study the proliferation, migration, polarized-odontoblast capacity and mechanism of rhSCUBE3. Novel pulp-dentin-like organoid models were constructed to further confirm the polarized odontoblast-induction function of SCUBE3. Finally, semi-orthotopic animal experiments were performed to explore the clinical application of rhSCUBE3.
Results
The epithelium-derived SCUBE3 translocated to the mesenchyme via paracrine during mouse embryonic development, and the differentiating odontoblasts in postnatal tooth germ could subsequently secrete SCUBE3 protein via autocrine. In hDPSCs, exogenous SCUBE3 promoted cell proliferation and migration via TGF-β signalling and accelerated odontoblastic differentiation via BMP2 signalling. In the semi-orthotopic animal experiments, we found that SCUBE3-pretreatment induced polarized odontoblast-like cells attached to the dental walls and better angiogenesis performance.
Conclusion
SCUBE3 protein expression is transferred from the epithelium to mesenchyme during embryonic development and elaborated the function of epithelium-derived SCUBE3 in Mes, including proliferation, migration, and polarized-odontoblastic differentiation, and their mechanisms. These findings shed light on exogenous SCUBE3 application in clinic dental-pulp regeneration.
Dose government spending an important factor in economic growth? Nonlinear cubic quantile nexus from Eastern Europe and Central Asia (EECA)
Authors: Shaddady Ali 
Published: August 2022

Abstract
This study investigates the non-monotonic phenomenon of the government spending-growth nexus in the EECA rigorously using panel data from 19 counties over the period 1995–2019 by applying a nonlinear quadratic estimator and cubic nonlinear estimator to quantile regressions. The preliminary findings revealed a negative linear nexus of government spending and economic growth using a linear model, while the nonlinear models (i.e., quadratic and cubic nonlinear estimators) indicated evidence of nonlinearity in the nexus in the EECA over the study period. Further, the study found strong evidence of the existence of an inverted “N-shaped” (nonlinear cubic) nexus between government spending and growth, which can be interpreted as the typical credit-driven boom-and-bust cycle in most EECA countries. Finally, in elucidating the nexus between government spending and economic growth, the study found that most macro governance and economic variables are relaxing.
A novel mutation of MET in hereditary non-polyposis colorectal cancer identified by whole exome sequencing: report of a family
Authors: Khongcharoen Natthapon , Laochareonsuk Wison , Boonpipattanapong Teeranut , Saetunga Jirakrit , Kayasut Kanita , Sangkhathat Surasak 
Published: August 2022

Abstract
Background
Hereditary non-polyposis colorectal cancer (HNPCC) is a form of inheritable colorectal cancer. The condition is usually associated with mutations in DNA mismatch repair genes (MMR) such as MSH2 MLH1 MSH6 PMS2 or other genes. In this report of a family, none of associate gene were involved
Case presentation:
The 56-year-old male presented with hematochezia and tenesmus for 5 months. The colonoscopy revealed a rectal tumor at 7 cm above anal verge. Then the tissue biopsy was done. The diagnosis was adenocarcinoma of the rectum of poor differentiation. The immunohistochemistry panel for MMR proteins showed diffusely strong positivity for MLH1 and PMS2 expression and weak positivity for MSH2 and MSH6 but screening for MMR mutations in the index case was negative. Whole exome sequencing was then performed using DNA from 4 family members, the index case, his spouse, their daughter, and their son.
Conclusions
The study identified a mutation on the MET proto-oncogene (c1124A > G) and/or PTCH1 (NM_00264.5: c.4045C > T) as pathogenic variant that explained the inheritance of HNPCC in this family in an autosomal dominant pattern. We concluded that the MET proto-oncogene is a candidate gene for HNPCC.
TROMPA-MER: an open dataset for personalized Music Emotion Recognition
Authors: Gómez-Cañón Juan Sebastián , Gutiérrez-Páez Nicolás , Porcaro Lorezo , Porter Alastair , Cano Estefanía , Herrera Perfecto , Gkiokas Aggelos , Santos Patricia , Hernández-Leo Davinia , Karreman Casper , Gómez Emilia 
Published: August 2022

Abstract
We present a platform and a dataset to help research on Music Emotion Recognition (MER).
We developed the Music Enthusiasts platform aiming to improve the gathering and analysis of the so-called “ground truth” needed as input to MER systems.
Firstly, our platform involves engaging participants using citizen science strategies and generate music emotion annotations -- the platform presents didactic information and musical recommendations as incentivization, and collects data regarding demographics, mood, and language from each participant.
Participants annotated each music excerpt with single free-text emotion words (in native language), distinct forced-choice emotion categories, preference, and familiarity.
Additionally, participants stated the reasons for each annotation -- including those distinctive of emotion perception and emotion induction.
Secondly, our dataset was created for personalized MER and contains information from 181 participants, 4721 annotations, and 1161 music excerpts.
To showcase the use of the dataset, we present a methodology for personalization of MER models based on active learning.
The experiments show evidence that using the judgment of the crowd as prior knowledge for active learning allows for more effective personalization of MER systems for this particular dataset.
Our dataset is publicly available and we invite researchers to use it for testing MER systems.
Online learning for continuous professional development of healthcare workers: An exploratory study on perceptions of healthcare managers
Authors: Byungura Jean Claude , Nyiringango Gerard , Fors Uno , Forsberg Elenita , Tumusiime David 
Published: August 2022

AbstractBackground Due to outbreaks of new diseases, development of new treatment regimens and requirement of evidence-based practice, health professionals continuously need to acquire updated knowledge and skills. This type of learning is known as continuous professional development (CPD). The scarcity of skilled health care professionals in developing countries further increases the need of CPD. Traditionally, face-to-face approach has been preferred as the best mode of CPD. Currently, health professionals have started using online learning for continued professional growth in different parts of the world. Consequently, research studies from different settings are needed to investigate the significance of online learning for CPD. Therefore, the aim of this study was to investigate the importance and challenges attributed to online learning by the managers of health facilities in Rwanda. Moreover, the study aimed to identify the status of infrastructures that could support online CPD, and assess the perceived enhancement and barriers for implementing online CPD. Methods The study used a convergence mixed-method design to explore quantitative and qualitative data from 42 health care managers. A descriptive analysis was conducted on quantitative data while qualitative data were thematically analyzed to inform the study findings. Results It was revealed that 90.5% of managers, who participated in this study, consider positively the use of online learning for CPD. All managers acknowledged that online learning could improve the knowledge and practice skills of health care professionals. Nevertheless, 52.4% of health institutions who participated in this study currently do not use online for CPD. Participants demonstrated challenges such as the lack of access to digital devices, poor or lack of internet access, poor online learning design, low digital skills of healthcare professionals, lack of time dedicated to online learning, and heavy workload of staff. Conclusions These findings indicate then that the managers of health institutions value the importance of online learning for CPD of health professionals. However, online learning should be designed to fit for the purpose and with a high consideration on needs and preferences of healthcare professionals and thereby improve information communication technology infrastructure that support online learning for CPD.
Towards production of renewable diesel over robust Ni nanoclusters highly dispersed on two-dimensional zeolite
Authors: Yu Jihong , Pang Hao , Yang Guoju , Li Lin 
Published: August 2022

Abstract
Deoxygenation of bio-derived lipids into renewable transportation fuels is a promising route to decrease the dependence on fossil sources. Ni-based catalysts are high performing and cost-effective in deoxygenation reactions but suffer from severe sintering and aggregation. Herein, a ligand-chelating impregnation method was applied to prepare highly dispersive Ni nanoclusters on two-dimensional (2D) ITQ-2 zeolite. Comprehensive characterization techniques were utilized to monitor the changes of organometallic precursors during activation and to investigate their impact on the dispersion of Ni nanoclusters on ITQ-2 zeolite. The 2D support with a high external surface and abundant surface defects enhances the dispersion and immobilization of the Ni nanoclusters, compared to conventional counterpart zeolites. The protection of Ni2+ cations by organic ligand can suppress the aggregation of Ni species during activation processes, thereby leading to the formation of uniformly distributed Ni nanoclusters on ITQ-2 zeolite. Beneficially from the highly dispersive Ni nanoclusters and immobilization effect of 2D zeolite, the Ni/ITQ-2 material prepared by ligand-chelating impregnation approach showed outstanding activity and stability in the conversion of stearic acid or palm oil to diesel range alkanes. This work opens a boulevard for rational design and precise modulation of metal-based catalysts for the production of renewable diesel.
In situ visualization of opioid and cannabinoid drug effects using phosphosite-specific GPCR antibodies
Authors: Fritzwanker Sebastian , Nagel Falko , Kliewer Andrea , Schulz Stefan 
Published: August 2022

Abstract
G protein-coupled receptors (GPCRs) are vital signal transducers that upon activation become phosphorylated on intracellular serine and threonine residues. Although antibodies that specifically recognize the phosphorylation state of GPCRs have been available for many years, efficient immunolocalization of phosphorylated receptors in their tissues of origin has remained elusive. Here we show that GPCR phosphorylation is very unstable during routine immunohistochemical procedures, necessitating the presence of appropriate phosphatase inhibitors throughout both fixation and staining procedures. We provide proof of concept using three out of four phosphorylation state-specific µ-opioid receptor antibodies and show that this approach can be readily extended to other prototypical GPCRs such as the CB1 cannabinoid receptor. In summary, this improved protocol will facilitate the widespread application of phosphorylation state-specific antibodies to monitor the physiological and pharmacological activation of endogenous GPCRs.
AI-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
Authors: Hollon Todd , Jiang Cheng , Chowdury Asadur , Nasir-Moin Mustafa , Kondepudi Akhil , Aabedi Alexander , Adapa Arjun , Al-Holou Wajd , Heth Jason , Sagher Oren , Lowenstein Pedro , Castro Maria , Wadiura Lisa , Widhalm Georg , Neuschmelting Volker , Reinecke David , von Spreckelsen Niklas , Berger Mitchell , Hervey-Jumper Shawn , Golfinos John , Snuderl Matija , Camelo-Piragua Sandra , Freudiger Christian , Lee Honglak , Orringer Daniel 
Published: August 2022

Abstract
Molecular classification has transformed the management of brain tumors by enabling more accurate prognostication and personalized treatment. However, timely molecular diagnostic testing for brain tumor patients is limited [1–3], complicating surgical and adjuvant treatment and obstructing clinical trial enrollment [4]. Here, we developed DeepGlioma, a rapid (<90 seconds), AI-based diagnostic screening system to streamline the molecular diagnosis of diffuse gliomas. DeepGlioma is trained using a multimodal dataset that includes stimulated Raman histology (SRH), a rapid, label-free, non-consumptive, optical imaging method [5–7], and large-scale, public genomic data. In a prospective, multicenter, international testing cohort of diffuse glioma patients (N = 153) who underwent real-time SRH imaging, we demonstrate that DeepGlioma can predict the molecular alterations used by the World Health Organization (WHO) to define the adult-type diffuse glioma taxonomy (IDH mutation, 1p19q co-deletion, ATRX mutation) [8], achieving a mean molecular classification accuracy of 93.3 (±1.6)%. Our results represent how artificial intelligence and optical histology can be used to provide a rapid and scalable adjunct to wet lab methods for the molecular diagnosis of diffuse glioma patients.