bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding how socioeconomic inequalities drive inequalities in COVID-19 infections
Authors: Laajaj Rachid , Webb Duncan , Aristizabal Danilo , Behrentz Eduardo , Bernal Raquel , Buitrago Giancarlo , Cucunubá Zulma , de la Hoz Fernando , Gaviria Alejandro , Hernández Luis Jorge , De Los Rios Camilo , Ramírez Varela Andrea , Restrepo Silvia , Schady Norbert , Vives Martha 
Published: May 2022

AbstractAcross the world, the COVID-19 pandemic has disproportionately affected economically disadvantaged groups. This differential impact has numerous possible explanations, each with significantly different policy implications. We examine, for the first time in a low- or middle-income country, which mechanisms best explain the disproportionate impact of the virus on the poor. Combining an epidemiological model with rich data from Bogotá, Colombia, we show that total infections and inequalities in infections are largely driven by inequalities in the ability to work remotely and in within-home secondary attack rates. Inequalities in isolation behavior are less important but non-negligible, while access to testing and contract-tracing plays practically no role because it is too slow to contain the virus. Interventions that mitigate transmission are often more effective when targeted on socioeconomically disadvantaged groups.
Investigating meteorological/groundwater droughts by copula to study anthropogenic impacts
Authors: Sadeghfam Sina , Mirahmadi Rasa , Khatibi Rahman , Mirabbasi Rasoul , Nadiri Ata Allah 
Published: May 2022

AbstractA critical understanding of the water crisis of Lake Urmia is the driver in this paper for a basin-wide investigation of its Meteorological (Met) droughts and Groundwater (GW) droughts. The challenge is to formulate a data-driven modelling strategy capable of discerning anthropogenic impacts and resilience patterns through using 21-years of monthly data records. The strategy includes: (i) transforming recorded timeseries into Met/GW indices; (ii) extracting their drought duration and severity; and (iii) deriving return periods of the maximum drought event through the copula method. The novelty of our strategy emerges from deriving return periods for Met and GW droughts and discerning anthropogenic impacts on GW droughts. The results comprise return periods for Met/GW droughts and their basin-wide spatial distributions, which are delineated into four zones. The information content of the results is statistically significant; and our interpretations hint at the basin resilience is already undermined, as evidenced by (i) subsidence problems and (ii) altering aquifers' interconnectivity with watercourses. These underpin the need for a planning system yet to emerge for mitigating impacts and rectifying their undue damages. The results discern that aquifer depletions stem from mismanagement but not from Met droughts. Already, migration from the basin area is detectable.
Antimicrobial potential and osteoblastic cell growth on electrochemically modified titanium surfaces with nanotubes and selenium or silver incorporation
Authors: Staats Kevin , Pilz Magdalena , Sun Jie , Boiadjieva-Scherzer Tzvetanka , Kronberger Hermann , Tobudic Selma , Windhager Reinhard , Holinka Johannes 
Published: May 2022

AbstractTitanium nanotube surfaces containing silver, zinc, and copper have shown antimicrobial effects without decreasing osteoblastic cell growth. In this in-vitro study we present first results on the biological evaluation of surface modifications by incorporating selenium and silver compounds into titanium-dioxide (TiO2) nanotubes by electrochemical deposition. TiO2-nanotubes (TNT) and Phosphate-doped TNT (pTNT) were grown on the surface of Ti6Al4V discs by anodization. Hydroxyapatite (HA), selenium (Se) and silver (Ag) compounds were incorporated by electrochemical deposition. Colony forming units ofStaphylococcus epidermidis (DSM 3269)were significantly decreased in SepTNT (0.97 ± 0.18 × 106 CFU/mL), SepTNT-HA (1.2 ± 0.39 × 106 CFU/mL), AgpTNT (1.36 ± 0.42 × 106 CFU/mL) and Ag2SepTNT (0.999 ± 0.12 × 106 CFU/mL) compared to the non-modified control (2.2 ± 0.21 × 106 CFU/mL). Bacterial adhesion was calculated by measuring the covered area after fluorescence staining. Adhesion was lower in SepTNT (37.93 ± 12%;P = 0.004), pTNT (47.3 ± 6.3%,P = 0.04), AgpTNT (24.9 ± 1.8%;P < 0.001) and Ag2SepTNT (14.9 ± 4.9%;P < 0.001) compared to the non-modified control (73.7 ± 11%). Biofilm formation and the growth of osteoblastic cells (MG-63) was observed by using Crystal Violet staining. Biofilm formation was reduced in SepTNT (22 ± 3%,P = 0.02) and Ag2SepTNT discs (23 ± 11%,P = 0.02) compared to the non-modified control (54 ± 8%). In comparison with the non-modified control the modified SepTNT-HA and pTNT surfaces showed a significant higher covered area with osteoblastic MG-63-cells. Scanning electron microscope (SEM) images confirmed findings regarding bacterial and osteoblastic cell growth. These findings show a potential synergistic effect by combining selenium and silver with titanium nanotubes.
Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology
Authors: Pocevičiūtė Milda , Eilertsen Gabriel , Jarkman Sofia , Lundström Claes 
Published: May 2022

AbstractDeep learning (DL) has shown great potential in digital pathology applications. The robustness of a diagnostic DL-based solution is essential for safe clinical deployment. In this work we evaluate if adding uncertainty estimates for DL predictions in digital pathology could result in increased value for the clinical applications, by boosting the general predictive performance or by detecting mispredictions. We compare the effectiveness of model-integrated methods (MC dropout and Deep ensembles) with a model-agnostic approach (Test time augmentation, TTA). Moreover, four uncertainty metrics are compared. Our experiments focus on two domain shift scenarios: a shift to a different medical center and to an underrepresented subtype of cancer. Our results show that uncertainty estimates increase reliability by reducing a model’s sensitivity to classification threshold selection as well as by detecting between 70 and 90% of the mispredictions done by the model. Overall, the deep ensembles method achieved the best performance closely followed by TTA.
Association between health literacy and purpose in life and life satisfaction among health management specialists: a cross-sectional study
Authors: Hirooka Nobutaka , Kusano Takeru , Kinoshita Shunsuke , Aoyagi Ryutaro , Saito Kohei , Nakamoto Hidetomo 
Published: May 2022

AbstractPurpose in life is anchored as a goal in national health promotion plans in several countries. Health literacy is the ability to find, understand, use, and evaluate health-related information; this ability has been investigated in terms of its effect on health outcomes and is said to play a critical role in health promotion. In the context of national health promotion, the effect of health literacy on purpose in life and life satisfaction remains unclear; therefore, this study aims to determine the effect of health literacy. A cross-sectional study was conducted on Japanese health management specialists (N = 1920). Health literacy was measured using the Communicative and Critical Health Literacy scale. Purpose in life and life satisfaction were measured using the Ikigai-9 scale and a Likert scale, respectively. We analyzed the associations between health literacy and purpose in life and life satisfaction with regression analyses. Age, sex, income, education, marital status, psychological stress, and diseases as present illness were adjusted in the statistical models. Our multiple linear regressions indicated that health literacy was significantly associated with purpose in life (β = 0.199, p < 0.001), after adjusting for covariates (age, sex, income, education, marital status, psychological factor, and disease status). Life satisfaction was also significantly associated with health literacy (β = 0.126, p < 0.001). Health literacy is associated with purpose in life and life satisfaction among specialists in health management. Health literacy plays a critical role in lifestyle-related disease prevention and health promotion. Interventions to improve health literacy may be warranted in the context of national health promotion.
Intelligent career planning via stochastic subsampling reinforcement learning
Authors: Guo Pengzhan , Xiao Keli , Ye Zeyang , Zhu Hengshu , Zhu Wei 
Published: May 2022

AbstractCareer planning consists of a series of decisions that will significantly impact one’s life. However, current recommendation systems have serious limitations, including the lack of effective artificial intelligence algorithms for long-term career planning, and the lack of efficient reinforcement learning (RL) methods for dynamic systems. To improve the long-term recommendation, this work proposes an intelligent sequential career planning system featuring a career path rating mechanism and a new RL method coined as the stochastic subsampling reinforcement learning (SSRL) framework. After proving the effectiveness of this new recommendation system theoretically, we evaluate it computationally by gauging it against several benchmarks under different scenarios representing different user preferences in career planning. Numerical results have demonstrated that our system is superior to other benchmarks in locating promising optimal career paths for users in long-term planning. Case studies have further revealed that our SSRL career path recommendation system would encourage people to gradually improve their career paths to maximize long-term benefits. Moreover, we have shown that the initial state (i.e., the first job) can have a significant impact, positively or negatively, on one’s career, while in the long-term view, a carefully planned career path following our recommendation system may mitigate the negative impact of a lackluster beginning in one’s career life.
10-Hz tACS over the prefrontal cortex improves phonemic fluency in healthy individuals
Authors: Sun Ya , Huang Lihui , Hua Qiaoling , Liu Qiang 
Published: May 2022

AbstractVerbal fluency is an important indicator of human verbal ability. Methods to improve fluency is an interesting issue necessitating investigation. To do this, the current study required participants to randomly receive transcranial alternating current stimulation (tACS) at 10 Hz, 40 Hz (control frequency), and sham stimulation over the prefrontal cortex before a phonemic fluency task. It was found that 10-Hz tACS significantly improved phonemic fluency relative to sham stimulation. This result demonstrates the modulatory effect of 10-Hz tACS on language ability.
Inhibitory control hinders habit change
Authors: Horváth Kata , Nemeth Dezso , Janacsek Karolina 
Published: May 2022

AbstractOur habits constantly influence the environment, often in negative ways that amplify global environmental and health risks. Hence, change is urgent. To facilitate habit change, inhibiting unwanted behaviors appears to be a natural human reaction. Here, we use a novel experimental design to test how inhibitory control affects two key components of changing (rewiring) habit-like behaviors in healthy humans: the acquisition of new habit-like behavior and the simultaneous unlearning of an old one. We found that, while the new behavior was acquired, the old behavior persisted and coexisted with the new. Critically, inhibition hindered both overcoming the old behavior and establishing the new one. Our findings highlight that suppressing unwanted behaviors is not only ineffective but may even further strengthen them. Meanwhile, actively engaging in a preferred behavior appears indispensable for its successful acquisition. Our design could be used to uncover how new approaches affect the cognitive basis of changing habit-like behaviors.
Stratification at the health district level for targeting malaria control interventions in Mali
Authors: Cissoko Mady , Magassa Mahamadou , Sanogo Vincent , Ouologuem Abdoulaye , Sangaré Lansana , Diarra Modibo , Bationo Cedric Stephane , Dolo Mathias , Bah Mamadou Djoulde , Doumbia Sidy , Coulibaly Mamadou B. , Traoré Diahara , Sidibé Boubacar , landier Jordi , Cissé Idrissa , Sacko Moussa , Gaudart Jean , Sagara Issaka 
Published: May 2022

AbstractMalaria is the leading cause of morbidity and mortality in Mali. Between 2017 and 2020, the number of cases increased in the country, with 2,884,827 confirmed cases and 1454 reported deaths in 2020. We performed a malaria risk stratification at the health district level in Mali with a view to proposing targeted control interventions. Data on confirmed malaria cases were obtained from the District Health Information Software 2, data on malaria prevalence and mortality in children aged 6–59 months from the 2018 Demographic and Health Survey, entomological data from Malian research institutions working on malaria in the sentinel sites of the National Malaria Control Program (NMCP), and environmental data from the National Aeronautics and Space Administration. A stratification of malaria risk was performed. Targeted malaria control interventions were selected based on spatial heterogeneity of malaria incidence, malaria prevalence in children, vector resistance distribution, health facility usage, child mortality, and seasonality of transmission. These interventions were discussed with the NMCP and the different funding partners. In 2017–2019, median incidence across the 75 health districts was 129.34 cases per 1000 person-years (standard deviation = 86.48). Risk stratification identified 12 health districts in very low transmission areas, 19 in low transmission areas, 20 in moderate transmission areas, and 24 in high transmission areas. Low health facility usage and increased vector resistance were observed in high transmission areas. Eight intervention combinations were selected for implementation. Our work provides an updated risk stratification using advanced statistical methods to inform the targeting of malaria control interventions in Mali. This stratification can serve as a template for continuous malaria risk stratifications in Mali and other countries.
Genetic variation and structure of complete chloroplast genome in alien monoecious and dioecious Amaranthus weeds
Authors: Xu Han , Xiang Ning , Du Wei , Zhang Junhua , Zhang Yongjiang 
Published: May 2022

AbstractAmaranthus is a complex taxon with economic importance as well as harmful weeds. We studied the genetic variation and structure of the chloroplast genomes of 22 samples from 17 species of three subgenera. It was found that the length of the chloroplast genome of Amaranthus varied from 149,949 bp of A. polygonoides to 150,757 bp of A. albus. The frequencies of SNPs and InDels in chloroplast genomes were 1.79% and 2.86%, and the variation mainly occurred in the non-coding regions. The longest InDel was 387 bp, which occurred on ycf2, followed by 384 bp InDel on psbM-trnD. Two InDels in ndhE-I on the SSC make the three subgenera clearly distinguished. In LSC, SSC and IRs regions, there were four 30 bp forward and reverse repeats, and the repeats in SSC and LSC were in nearly opposite positions in circular genome structure, and almost divided the circular genome into symmetrical structures. In the topological tree constructed by chloroplast genome, species in subgen. Amaranthus and subgen. Acnida form monophyletic branches separately and cluster together. A. albus, A. blitoides and A. polygonoides were separated from subgen. Albersia, and the rest of subgen. Albersia were clustered into a monophyletic branch. The rpoC2, ycf1, ndhF-rpl32 were good at distinguishing most amaranths. The trnk-UUU-atpF, trnT-UGU-atpB, psbE-clpP, rpl14-rps19, and ndhF-D can distinguish several similar species. In general, the chloroplast genome is of certain value for the identification of the similar species of Amaranthus, which provides more evidence for clarifying the phylogenetic relationships within the genus.
A single faecal bile acid stool test demonstrates potential efficacy in replacing SeHCAT testing for bile acid diarrhoea in selected patients
Authors: Kumar Aditi , Al-Hassi Hafid O. , Jain Manushri , Phipps Oliver , Ford Clare , Gama Rousseau , Steed Helen , Butterworth Jeffrey , McLaughlin John , Galbraith Niall , Brookes Matthew J. , Hughes Lauren E. 
Published: May 2022

AbstractThis study examines the validity of measuring faecal bile acids (FBA) in a single stool sample as a diagnostic tool for bile acid diarrhoea (BAD) by direct comparison to the 75selenium-homotaurocholic acid (SeHCAT) scan. A prospective observational study was undertaken. Patients with chronic diarrhoea (> 6 weeks) being investigated for potential BAD with SeHCAT scan provided stool samples for measurement of FBA, using an enzyme-linked immunosorbent assay. Patients were characterised into four groups: SeHCAT negative control group, post-cholecystectomy, idiopathic BAD and post-operative terminal ileal resected Crohn’s disease. Stool samples were collected at baseline and 8-weeks post treatment to determine whether FBA measurement could be used to monitor therapeutic response. 113 patients had a stool sample to directly compare with their SeHCAT result. FBA concentrations (μmol/g) and interquartile ranges in patients in the control group (2.8; 1.6–4.2), BAD (3.6; 1.9–7.2) and post-cholecystectomy cohort 3.8 (2.3–6.8) were similar, but all were significantly lower (p < 0.001) compared to the Crohn’s disease cohort (11.8; 10.1–16.2). FBA concentrations in patients with SeHCAT retention of < 15% (4.95; 2.6–10.5) and < 5% (9.9; 4.8–15.4) were significantly higher than those with a SeHCAT retention > 15% (2.6; 1.6–4.2); (p < 0.001 and p < 0.0001, respectively). The sensitivity and specificity using FBA cut-off of 1.6 μmol/g (using ≤ 15% SeHCAT retention as diagnostic of BAD) were 90% and 25% respectively. A single random stool sample may have potential use in diagnosing severe BAD or BAD in Crohn’s patients. Larger studies are now needed to confirm the potential efficacy of this test to accurately diagnose BAD in the absence of SeHCAT testing.
Subchondral tibial bone texture of conventional X-rays predicts total knee arthroplasty
Authors: Almhdie-Imjabbar Ahmad , Toumi Hechmi , Harrar Khaled , Pinti Antonio , Lespessailles Eric 
Published: May 2022

AbstractLacking disease-modifying osteoarthritis drugs (DMOADs) for knee osteoarthritis (KOA), Total Knee Arthroplasty (TKA) is often considered an important clinical outcome. Thus, it is important to determine the most relevant factors that are associated with the risk of TKA. The present study aims to develop a model based on a combination of X-ray trabecular bone texture (TBT) analysis, and clinical and radiological information to predict TKA risk in patients with or at risk of developing KOA. This study involved 4382 radiographs, obtained from the OsteoArthritis Initiative (OAI) cohort. Cases were defined as patients with TKA on at least one knee prior to the 108-month follow-up time point and controls were defined as patients who had never undergone TKA. The proposed TKA-risk prediction model, combining TBT parameters and Kellgren–Lawrence (KL) grades, was performed using logistic regression. The proposed model achieved an AUC of 0.92 (95% Confidence Interval [CI] 0.90, 0.93), while the KL model achieved an AUC of 0.86 (95% CI 0.84, 0.86; p < 0.001). This study presents a new TKA prediction model with a good performance permitting the identification of at risk patient with a good sensitivy and specificity, with a 60% increase in TKA case prediction as reflected by the recall values.
Prion protein gene mutation detection using long-read Nanopore sequencing
Authors: Kroll François , Dimitriadis Athanasios , Campbell Tracy , Darwent Lee , Collinge John , Mead Simon , Vire Emmanuelle 
Published: May 2022

AbstractPrion diseases are fatal neurodegenerative conditions that affect humans and animals. Rapid and accurate sequencing of the prion gene PRNP is paramount to human prion disease diagnosis and for animal surveillance programmes. Current methods for PRNP genotyping involve sequencing of small fragments within the protein-coding region. The contribution of variants in the non-coding regions of PRNP including large structural changes is poorly understood. Here, we used long-range PCR and Nanopore sequencing to sequence the full length of PRNP, including its regulatory region, in 25 samples from blood and brain of individuals with inherited or sporadic prion diseases. Nanopore sequencing detected the same variants as identified by Sanger sequencing, including repeat expansions/deletions. Nanopore identified additional single-nucleotide variants in the non-coding regions of PRNP, but no novel structural variants were discovered. Finally, we explored somatic mosaicism of PRNP’s octapeptide repeat region, which is a hypothetical cause of sporadic prion disease. While we found changes consistent with somatic mutations, we demonstrate that they may have been generated by the PCR. Our study illustrates the accuracy of Nanopore sequencing for rapid and field prion disease diagnosis and highlights the need for single-molecule sequencing methods for the detection of somatic mutations.
Altered performance monitoring in Tourette Syndrome: an MEG investigation
Authors: Metzlaff Jacqueline , Finis Jennifer , Münchau Alexander , Müller-Vahl Kirsten , Schnitzler Alfons , Bellebaum Christian , Biermann-Ruben Katja , Niccolai Valentina 
Published: May 2022

AbstractThe error-related negativity (ERN) is an event-related potential component indexing processes of performance monitoring during simple stimulus-response tasks: the ERN is typically enhanced for error processing and conflicting response representations. Investigations in healthy participants and different patient groups have linked the ERN to the dopamine system and to prefrontal information processing. As in patients with Tourette Syndrome (TS) both dopamine release and prefrontal information processing are impaired, we hypothesized that performance monitoring would be altered, which was investigated with magnetencephalography (MEG). We examined performance monitoring in TS patients by assessing the magnetic equivalent of the ERN (mERN). The mERN was investigated in tic-free trials of eight adult, unmedicated TS patients without clinically significant comorbidity and ten matched healthy controls while performing a Go/NoGo task in selected frontocentral channels. The analysis of the response-related amplitudes of the event-related magnetic field showed that TS patients, in contrast to controls, did not show earlier amplitude modulation (between 70 and 105 ms after response onset) depending on response type (errors or correct responses). In both groups significant mERN amplitudes in the time-window between 105 and 160 ms after response onset were detected thus pointing at only later error processing in TS patients. In TS patients, early error-related processing might be affected by an enhanced motor control triggered by a conflict between the targeted high task performance and tic suppression. TS patients seem to tend to initially process all responses as erroneous responses.