bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early career perspectives of young Dutch cardiologists
Authors: Vorselaars V. M. M. , van der Heijden A. C. , Joustra R. , Berger W. R. , van Hout G. P. J. , Kapel G. F. L. , Nuis R-J. , Woudstra P. , Piers S. R. D. 
Published: April 2021

Abstract
Background
There are nationwide concerns about the unemployment rate among young Dutch cardiologists and the increase in temporary positions. Therefore, the aim of this study was to investigate the unemployment rate in this subgroup as well as the length of time between the end of their training and the acquisition of a permanent position.

Methods
All cardiologists who completed their training between January 2015 and December 2018 were invited to fill in an online questionnaire about their demographic characteristics, professional profile and employment status. The unemployment rate was calculated and Kaplan-Meier curves were used to determine the time between the end of training and the first permanent contract.

Results
In total, 174 participants were included (mean age 35 ± 3 years, 64% male, median follow-up 2.3 years (interquartile range 1.4–3.2 years)). The unemployment rate was 0.6% (n = 1). Only 12 participants (7%) started their career with a permanent position. The percentage of cardiologists with a temporary position was 82%, 61% and 33% at 1, 2 and 3 years, respectively. The percentage of cardiologists with a temporary position did not differ with regard to age, gender, holding a PhD degree or type of teaching institution attended (academic vs non-academic). Forty-four per cent of participants perceived the current job market to be problematic.

Conclusions
The unemployment rate among young cardiologists in the Netherlands was low between 2015 and 2018. The vast majority of cardiologists start their career on a temporary contract. Three years later, 33% still hold temporary positions. Due to the resultant job insecurity, many young cardiologists describe the job market as problematic.
When Old Meets New: Emotion Recognition from Speech Signals
Authors: Araño Keith April , Gloor Peter , Orsenigo Carlotta , Vercellis Carlo 
Published: April 2021

AbstractSpeech is one of the most natural communication channels for expressing human emotions. Therefore, speech emotion recognition (SER) has been an active area of research with an extensive range of applications that can be found in several domains, such as biomedical diagnostics in healthcare and human–machine interactions. Recent works in SER have been focused on end-to-end deep neural networks (DNNs). However, the scarcity of emotion-labeled speech datasets inhibits the full potential of training a deep network from scratch. In this paper, we propose new approaches for classifying emotions from speech by combining conventional mel-frequency cepstral coefficients (MFCCs) with image features extracted from spectrograms by a pretrained convolutional neural network (CNN). Unlike prior studies that employ end-to-end DNNs, our methods eliminate the resource-intensive network training process. By using the best prediction model obtained, we also build an SER application that predicts emotions in real time. Among the proposed methods, the hybrid feature set fed into a support vector machine (SVM) achieves an accuracy of 0.713 in a 6-class prediction problem evaluated on the Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) dataset, which is higher than the previously published results. Interestingly, MFCCs taken as unique input into a long short-term memory (LSTM) network achieve a slightly higher accuracy of 0.735. Our results reveal that the proposed approaches lead to an improvement in prediction accuracy. The empirical findings also demonstrate the effectiveness of using a pretrained CNN as an automatic feature extractor for the task of emotion prediction. Moreover, the success of the MFCC-LSTM model is evidence that, despite being conventional features, MFCCs can still outperform more sophisticated deep-learning feature sets.
Making a complex dental care tailored to the person: population health in focus of predictive, preventive and personalised (3P) medical approach
Authors: Tachalov V. V. , Orekhova L. Y. , Kudryavtseva T. V. , Loboda E. S. , Pachkoriia M. G. , Berezkina I. V. , Golubnitschaja O. 
Published: April 2021

AbstractAn evident underestimation of the targeted prevention of dental diseases is strongly supported by alarming epidemiologic statistics globally. For example, epidemiologists demonstrated 100% prevalence of dental caries in the Russian population followed by clinical manifestation of periodontal diseases. Inadequately provided oral health services in populations are caused by multi-factorial deficits including but not limited to low socio-economic status of affected individuals, lack of insurance in sub-populations, insufficient density of dedicated medical units. Another important aspect is the “participatory” medicine based on the active participation of population in maintaining oral health: healthcare will remain insufficient as long as the patient is not motivated and does not feel responsible for their oral health. To this end, nearly half of chronically diseased people do not comply with adequate medical services suffering from severely progressing pathologies. Noteworthy, the prominent risk factors and comorbidities linked to the severe disease course and poor outcomes in COVID-19-infected individuals, such as elderly, diabetes mellitus, hypertension and cardiovascular disease, are frequently associated with significantly altered oral microbiome profiles, systemic inflammatory processes and poor oral health. Suggested pathomechanisms consider potential preferences in the interaction between the viral particles and the host microbiota including oral cavity, the respiratory and gastrointestinal tracts. Since an aspiration of periodontopathic bacteria induces the expression of angiotensin-converting enzyme 2, the receptor for SARS-CoV-2, and production of inflammatory cytokines in the lower respiratory tract, poor oral hygiene and periodontal disease have been proposed as leading to COVID-19 aggravation. Consequently, the issue-dedicated expert recommendations are focused on the optimal oral hygiene as being crucial for improved individual outcomes and reduced morbidity under the COVID-19 pandemic condition. Current study demonstrated that age, gender, socio-economic status, quality of environment and life-style, oral hygiene quality, regularity of dental services requested, level of motivation and responsibility for own health status and corresponding behavioural patterns are the key parameters for the patient stratification considering person-tailored approach in a complex dental care in the population. Consequently, innovative screening programmes and adapted treatment schemes are crucial for the complex person-tailored dental care to improve individual outcomes and healthcare provided to the population.
A genomic dataset of single‐nucleotide polymorphisms generated by ddRAD tag sequencing in Q. petraea (Matt.) Liebl. populations from Central-Eastern Europe and Balkan Peninsula
Authors: Tóth Endre Gy. , Köbölkuti Zoltán A. , Cseke Klára , Kámpel József D. , Takács Roland , Tomov Vladimir T. , Ábrán Péter , Stojnic Srdjan , Vastag Erna , Mataruga Milan , Daničić Vanja , Tahirukaj Egzon , Zhelev Petar , Orlovic Sasa , Benke Attila , Borovics Attila 
Published: April 2021

Abstract

Key message

This genomic dataset provides highly variable SNP markers from georeferenced natural Quercus petraea (Matt.) Liebl. populations collected in Bulgaria, Hungary, Romania, Serbia, Bosnia and Herzegovina, Kosovo* and Albania. These SNP loci can be used to assess genetic diversity, differentiation, and population structure, and can also be used to detect signatures of selection and local adaptation. The dataset can be accessed at https://doi.org/10.5281/zenodo.3908963/ (Tóth et al.2020). Associated metadata available at https://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/b6fee4fa-01e9-44d0-92f5-ad19379f9693.
Inferring object properties from human interaction and transferring them to new motions
Authors: Zheng Qian , Wu Weikai , Pan Hanting , Mitra Niloy , Cohen-Or Daniel , Huang Hui 
Published: April 2021

AbstractHumans regularly interact with their surrounding objects. Such interactions often result in strongly correlated motions between humans and the interacting objects. We thus ask: “Is it possible to infer object properties from skeletal motion alone, even without seeing the interacting object itself?” In this paper, we present a fine-grained action recognition method that learns toinfersuch latent object properties from human interaction motion alone. This inference allows us todisentanglethe motion from the object property andtransferobject properties to a given motion. We collected a large number of videos and 3D skeletal motions of performing actors using an inertial motion capture device. We analyzed similar actions and learned subtle differences between them to reveal latent properties of the interacting objects. In particular, we learned to identify the interacting object, by estimating its weight, or its spillability. Our results clearly demonstrate that motions and interacting objects are highly correlated and that related object latent properties can be inferred from 3D skeleton sequences alone, leading to new synthesis possibilities for motions involving human interaction. Our dataset is available athttp://vcc.szu.edu.cn/research/2020/IT.html.
Design and technological capabilities of a CNC skew rolling mill
Authors: Tomczak Janusz , Pater Zbigniew , Bulzak Tomasz , Lis Konrad , Kusiak Tomasz , Sumorek Andrzej , Buczaj Marcin 
Published: April 2021

Abstract
Results of a study investigating a skew rolling process for elongated axisymmetric parts are presented. Despite the fact that the skew rolling technique for producing such parts was developed and implemented in the mid-twentieth century, there are no studies on this problem. The first part of this paper presents the results of FEM modelling of skew rolling stepped axles and shafts (solid and hollow). The FEM analysis was performed using the MSC Simufact Forming software. The numerical simulation involved the determination of metal flow patterns, the analysis of thermal parameters of the material during rolling, and the prediction of cracking by the Cockcroft-Latham ductile fracture criterion. Force parameters of rolling solid and hollow parts were also determined. The aim of the FEM analysis was to determine initial design assumptions and parameters for the development of the skew rolling mill. Later on in the paper, a design solution of a CNC skew rolling mill for rolling parts based on their envelope profile is proposed. FEM strength test results of a mill stand, obtained with MSC. NASTRAN, are presented. Finally, the performance test results of the constructed rolling mill are presented. The experiments involved rolling real stepped shafts that were modelled numerically. Obtained results show that the proposed skew rolling method has considerable potential. The designed and constructed rolling mill can be used to perform the rolling process according to the proposed method, with the tool and material kinematics being controlled based on the set parameters of a workpiece envelope.
Effect of Light on Cognitive Function During a Stroop Task Using Functional Near-Infrared Spectroscopy
Authors: Yuan Yafei , Li Guanghao , Ren Haoran , Chen Wei 
Published: April 2021

AbstractLight modulates human brain function through its effect on circadian rhythms, which are related to several human behavioral and physiological processes. Functional near-infrared spectroscopy (fNIRS) is a noninvasive optical neuroimaging technique used for recording brain activation during task performance. This study aimed to investigate the effects of light on cognitive function, particularly in the prefrontal cortex using fNIRS. The effect of light on cognitive modulation was analyzed using the Stroop task, which was performed on 30 participants under three different light conditions (color temperature 4500 K, 2500 K, and none). The behavioral results indicated that light conditions can easily and effectively modulate the performance of tasks based on the feedback, including the response time and accuracy. fNIRS showed hemodynamic changes in the bilateral dorsolateral prefrontal cortices, and the activated brain regions varied under different light conditions. Moreover, light may be regarded as a safe, effective, inexpensive, and accessible tool for modulating human cognitive function.
Particle swarm optimization in image processing of power flow learning distribution
Authors: Huang Chuanchao 
Published: April 2021

AbstractIn order to realize the coordination and integration optimization of the power system itself, this paper constructed the mathematical model of the hybrid power system and solved the multi-objective optimization problem of the heating system through the optimized particle swarm optimization algorithm. Based on the back-to-back VSC-HVDC grid-connected composite system, this paper studied the integrated control strategy of the device to achieve the simultaneous parallel and tie line currents. At the same time, this paper simplified and improved the proposed disassembly criteria for grid-connected composite devices and integrated them into the grid-connected composite device. In addition, on this basis, the integrated control of the three functions of de-listing, juxtaposition and tie line power adjustment of the same device was further studied. Simulation studies show that the proposed algorithm has certain effects and can provide theoretical reference for subsequent related research.
The incidence of gall stones after bariatric surgery and its association with weight loss
Authors: El shafey Hossam E. , Elgohary Hatem , El Azawy Mahmoud , Omar Wael 
Published: April 2021

ABSTRACT

Introduction:
Gallstone (GS) formation is common in obese patients, particularly during rapid weight loss. This study aimed to determine the incidence of GS in patients underwent bariatric surgery (BS) and the influence of weight loss on GS formation.

Methods:
This was a prospective study including 148 consecutive patients underwent BS. Patients with preoperative negative abdominal ultrasound (US) for GS were followed-up for at least 12 months. Patients underwent abdominal ultrasound (US) at 3, 6, 9 and 12 months and were clinically screened for symptomatic or complicated cholelithiasis. No GS lowering prophylaxis was used. Clinical and demographic characteristics were compared at baseline and 12 months after surgery.

Results:
At time of surgery GS was found in 40.6% of the studied patients and history of previous laparoscopic cholecystectomy (LC) was in 6.8% of the studied patients. The incidence of post bariatric GS at 12 months was 22.7% with significant difference (P-value<0.05), (Laparoscopic Sleeve Gastrectomy (LSG): 18.8%, Single anastomosis sleeve ileal bypass (SASI): 33.3%, Mini Gastric Bypass (MGB): 40%, LRYGB 50%). BS operations, rapid weight loss and gastro esophageal reflux disease (GERD) patients are at a higher risk for GS.

Conclusions:
The incidence of post bariatric GS at 12 months was high (22.7%) with significant difference and we recommend routine US every 3, 6, 9 and 12 months during the first year after BS.
Clinical characteristics of hospitalized patients with false-negative severe acute respiratory coronavirus virus 2 (SARS-CoV-2) test results
Authors: MacKenzie Erica L. , Hareza Dariusz A. , Collison Maggie W. , Czapar Anna E. , Kraft Antigone K. , Waxse Bennett J. , Friedman Eleanor E. , Ridgway Jessica P. 
Published: April 2021

AbstractObjective:To determine clinical characteristics associated with false-negative severe acute respiratory coronavirus virus 2 (SARS-CoV-2) test results to help inform coronavirus disease 2019 (COVID-19) testing practices in the inpatient setting.Design:A retrospective observational cohort study.Setting:Tertiary-care facility.Patients:All patients 2 years of age and older tested for SARS-CoV-2 between March 14, 2020, and April 30, 2020, who had at least 2 SARS-CoV-2 reverse-transcriptase polymerase chain reaction tests within 7 days.Methods:The primary outcome measure was a false-negative testing episode, which we defined as an initial negative test followed by a positive test within the subsequent 7 days. Data collected included symptoms, demographics, comorbidities, vital signs, labs, and imaging studies. Logistic regression was used to model associations between clinical variables and false-negative SARS-CoV-2 test results.Results:Of the 1,009 SARS-CoV-2 test results included in the analysis, 4.0% were false-negative results. In multivariable regression analysis, compared with true-negative test results, false-negative test results were associated with anosmia or ageusia (adjusted odds ratio [aOR], 8.4; 95% confidence interval [CI], 1.4–50.5; P = .02), having had a COVID-19–positive contact (aOR, 10.5; 95% CI, 4.3–25.4; P < .0001), and having an elevated lactate dehydrogenase level (aOR, 3.3; 95% CI, 1.2–9.3; P = .03). Demographics, symptom duration, other laboratory values, and abnormal chest imaging were not significantly associated with false-negative test results in our multivariable analysis.Conclusions:Clinical features can help predict which patients are more likely to have false-negative SARS-CoV-2 test results.
Human resource management and the COVID-19 crisis: implications, challenges, opportunities, and future organizational directions
Authors: Hamouche Salima 
Published: April 2021

AbstractThe COVID-19 has grandly shaken all organizations, creating a complex and challenging environment for managers and human resource management (HRM) practitioners, who need to find ingenious solutions to ensure the continuity of their companies and to help their employees to cope with this extraordinary crisis. Studies addressing the impact of this crisis on HRM are sparse. This paper is a general literature review, which aims at broadening the scope of management research, by exploring the impact of the COVID-19 on HRM. It identifies the main challenges and opportunities that have arisen from this new pandemic and it offers insights for managers and HRM practitioners into possible future organizational directions that might arise from these opportunities.
Incidence of relapse following a new approach to simplifying and optimising acute malnutrition treatment in children aged 6–59 months: a prospective cohort in rural Northern Burkina Faso
Authors: Daures Maguy , Phelan Kevin , Issoufou Mariama , Sawadogo Ousmane , Akpakpo Bruno , Kinda Moumouni , Shepherd Susan , Becquet Renaud 
Published: April 2021

Abstract
The present study aimed to determine the 3-month incidence of relapse and associated factors among children who recovered under the Optimising treatment for acute MAlnutrition (OptiMA) strategy, a MUAC-based protocol. A prospective cohort of children successfully treated for acute malnutrition was monitored between April 2017 and February 2018. Children were seen at home by community health workers (CHWs) every 2 weeks for 3 months. Relapse was defined as a child who had met OptiMA recovery criteria (MUAC ≥ 125 mm for two consecutive weeks) but subsequently had a MUAC < 125 mm at any home visit. Cumulative incidence and incidence rates per 100 child-months were estimated. Multivariable survival analysis was conducted using a shared frailty model with a random effect on health facilities to identify associated factors. Of the 640 children included, the overall 3-month cumulative incidence of relapse was 6⋅8 % (95 % CI 5⋅2, 8⋅8). Globally, the incidence rate of relapse was 2⋅5 (95 % CI 1⋅9, 3⋅3) per 100 child-months and 3⋅7 (95 % CI 1⋅9, 6⋅8) per 100 child-months among children admitted with a MUAC < 115 mm. Most (88⋅6 %) relapses were detected early when MUAC was between 120 and 124 mm. Relapse was positively associated with hospitalisation, with an adjusted hazard ratio (aHR) of 2⋅06 (95 % CI 1⋅01, 4⋅26) for children who had an inpatient stay at any point during treatment compared with children who did not. The incidence of relapse following recovery under OptiMA was relatively low in this context, but the lack of a standard relapse definition does not allow for comparison across settings Closer follow-up with caretakers whose children are admitted with MUAC < 115 mm or required hospitalisation during treatment should be considered in managing groups at high risk of relapse. Training caretakers to screen their children for relapse at home using MUAC could be more effective at detecting early relapse, and less costly, than home visits by CHWs.
The Micro-Foundation of Ambidextrous Foreign Direct Investment
Authors: Huang Xinli , Fan Di , He Xiaoming , Su Yiyi 
Published: April 2021

ABSTRACTPursuing ambidextrous foreign direct investment (FDI) has been suggested as a desirable strategic choice of emerging economy (EE) firms in their internationalization. Yet, reconciling explorative and exploitative activities overseas is complicated due to their conflicting and tensional nature. This study explores why some EE firms can achieve high levels of ambidextrous FDI while others cannot. Drawing on upper echelons theory, we propose a micro-foundation perspective of ambidextrous FDI by studying top management teams’ (TMTs) attributes. Applying a configurational approach to a sample of 294 EE firms’ FDI observations (of which 43 are ambidextrous FDI in nature) from 2011 to 2015, we not only confirm the equal importance of both TMT incentive and cognitive factors as causal conditions to achieve a high degree of ambidextrous FDI, but also provide original evidence on the interactive configurations of those factors that lead to ambidextrous FDI.
A Transition Perspective for Business School Research and Education in China
Authors: Tan Hao 
Published: April 2021

AbstractIn this perspective article, I draw on transition research that has been developed to account for the transitions in many socio-technical systems within human society, such as energy, water, and food. I argue that many ideas developed in transition research can be applied to the ecosystem of contemporary business schools in China for its transformation. Using the multi-level perspective (MLP) from transition research as an analytic framework, I examine the socio-technical system of business schools in China for understanding the main forces that may shape a potential transition of the sector. I also draw on transition management theory and insights from research on the politics of transitions for important conditions that are required to enable a transition in this specific context.