bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of a Text Messaging Intervention to Patients on Warfarin Therapy in Brazilian Primary Care Units: A Quasi-Experimental Study
Authors: Souza-Silva Maíra Viana Rego , Domingues Mara Luiza Paiva , Chagas Victor Schulthais , Pereira Daniella Nunes , de Sá Laura Caetano , Almeida Mychelle Stefany Santos , Sales Thaís Lorenna Souza , Raposo Magda César , Guimarães Nathalia Sernizon , Oliveira João Antonio de Queiroz , Ribeiro Antonio Luiz Pinho , Cardoso Clareci Silva , Martins Maria Auxiliadora Parreiras , Enes Thais Bueno , Soares Thiago Barbabela de Castro , Baldoni André Oliveira , Marcolino Milena Soriano 
Published: October 2021

Abstract
Background: Warfarin remains the most affordable oral anticoagulant in many countries. However, it may have serious side effects, and the success of the therapy depends on the patient's understanding of the medication and their adherence to treatment. The use of short messages services (SMS) is a strategy that can be used to educate patients, but there are no studies evaluating this intervention in patients taking warfarin. Therefore, our aim was to report the implementation of a text-messaging intervention to primary care patients taking warfarin in a middle-sized Brazilian city. Methods: A bank of 79 SMS was drafted and validated by an expert panel. During six months, three times a week, patients received messages about anticoagulation with warfarin. At baseline and after three months, we assessed their knowledge and adherence with validated instruments. At the end of the follow-up, participants answered a satisfaction questionnaire. Subsequently, a scale-up phase was conducted, with another round of the intervention including 82 participants (29 from the first phase and 53 newly recruited). Seven months after the end of the scale-up, we interviewed the patients for their insights about the long-term effects of this program. All patients signed informed consent. The study was approved by the Research and Ethics committee of the Universidade Federal de Minas Gerais. Results: In the pilot, 33 (89.2%) patients completed the follow-up. Among the participants who answered the satisfaction questionnaire, 86.2% considered that the intervention motivated a healthy lifestyle and improved their understanding of warfarin therapy. All patients were willing to continue receiving the messages. Adherence measured by the Measure of Adherence to Treatment (MAT) test was high in the pre-intervention assessment and remained high (96.7% vs. 93.3%; p=1.0000). There was a trend to improve knowledge of warfarin therapy measured by the Oral Anticoagulation Knowledge (OAK) test (6.5% to 25.6% of correct answers, p = 0.0703). In the scale-up, 23 patients were interviewed. The main long-term knowledge reported was dietary information. Nine patients received the messages but did not remember their content.Conclusion: The intervention was well-accepted and had a positive impact on patient’s knowledge about oral anticoagulation therapy. The scale-up assessment reinforced the need to constantly monitor digital interventions.
Evaluation of Multiple Imputation Approaches for Handling Missing Covariate Information in a Case-Cohort Study.
Authors: Middleton Melissa , Nguyen Cattram , Moreno-Betancur Margarita , Carlin John B , Lee Katherine J 
Published: October 2021

Abstract
Background In case-cohort studies a random subcohort is selected from the inception cohort and acts as the sample of controls for several outcome investigations. Analysis is conducted using only the cases and the subcohort, with inverse probability weighting (IPW) used to account for the unequal sampling probabilities resulting from the study design. Like all epidemiological studies, case-cohort studies are susceptible to missing data. Multiple imputation (MI) has become increasingly popular for addressing missing data in epidemiological studies. It is currently unclear how best to incorporate the weights from a case-cohort analysis in MI procedures used to address missing covariate data.Method A simulation study was conducted with missingness in two covariates, motivated by a case study within the Barwon Infant Study. MI methods considered were: using the outcome, a proxy for weights in the simple case-cohort design considered, as a predictor in the imputation model, with and without exposure and covariate interactions; imputing separately within each weight category; and using a weighted imputation model. These methods were compared to a complete case analysis (CCA) within the context of a standard IPW analysis model estimating either the risk or odds ratio. The strength of associations, missing data mechanism, proportion of observations with incomplete covariate data, and subcohort selection probability varied across the simulation scenarios. Methods were also applied to the case study.Results There was similar performance in terms of relative bias and precision with all MI methods across the scenarios considered, with expected improvements compared with the CCA. Slight underestimation of the standard error was seen throughout but the nominal level of coverage (95%) was generally achieved. All MI methods showed a similar increase in precision as the subcohort selection probability increased, irrespective of the scenario. A similar pattern of results was seen in the case study.Conclusions How weights were incorporated into the imputation model had minimal effect on the performance of MI; this may be due to case-cohort studies only having two weight categories. In this context, inclusion of the outcome in the imputation model was sufficient to account for the unequal sampling probabilities in the analysis model.
Investigation on Potential Effect of Cell Shape and Size on the Residual Stress in Solid Oxide Fuel Cells
Authors: azari khaled , Abdoli Hamid , Torabi Morteza , Bozorgmehri Shahriar 
Published: October 2021

Abstract
In the manufacturing process of solid oxide fuel cells (SOFCs), the residual stresses and curvature are developed in components due to the differences in material properties of cell layers. Significant residual stress may lead to the formation of cracks in the cell layers and facilitates cell fracture. In this work, the changes of the residual stress in the electrolyte of the anode-supported planar solid oxide fuel cells are experimentally determined at room temperature. The “sin2ψ” technique of X-ray diffraction method is employed to measure the residual stress in the half-cell samples. Several cells with different sizes and shapes are investigated to evaluate the potential impact of cell size and cell shape on the thermal residual stress. Because investigation on the changes of the residual stress and curvature state in the scaling up process of cell is crucial for commercial use. Values of about − 610 MPa are determined for an electrolyte layer on an oxidized ∼400µm thick anode substrate. The results reveal that in spite of the effect of size and shape on the radius of curvature, these parameters have no significant effect on the residual stress level.
Cardiovascular Imaging Following Perioperative Myocardial Infarction/Injury
Authors: Arslani Ketina , Gualandro Danielle M , Puelacher Christian , Buse Giovanna Lurati , Lampart Andreas , Bolliger Daniel , Schulthess David , Glarner Noemi , Hidvegi Reka , Kindler Christoph , Blum Steffen , Cardozo Francisco A , Caramelli Bruno , Gürke Lorenz , Wolff Thomas , Mujagic Edin , Schaeren Stefan , Rikli Daniel , Campos Carlos A , Fahrni Gregor , Kaufmann Beat A , Haaf Philip , Zellweger Michael J , Kaiser Christoph , Osswald Stefan , Steiner Luzius A , Mueller Christian 
Published: October 2021

Abstract
Background: Patients developing perioperative myocardial infarction/injury(PMI) have high mortality. PMI work-up and therapy remain poorly defined.Methods: In a prospective multicenter study enrolling high-risk patients undergoing major non-cardiac surgery within a systematic PMI screening and clinical response program, the frequency of cardiovascular imaging during PMI work-up and its yield for possible type 1 myocardial infarction(T1MI) was assessed. Automated PMI detection triggered evaluation by the treating physician/ cardiologist on service, who determined selection/timing of cardiovascular imaging. In transthoracic echocardiography(TTE) a new wall motion abnormality within 30days, in myocardial perfusion imaging(MPI) a new scar or ischemia within 90days, and in coronary angiography(CA) Ambrose-Type II or complex lesions within 7days of PMI detection were considered indicative of T1MI. Results: In patients with PMI, 21%(268/1269) underwent at least one cardiac imaging modality. TTE was used in 13%(163/1269), MPI in 3%(37/1269), and CA in 5%(68/1269). Consultation by a cardiologist, was associated with higher use of cardiaovascular imaging(27% versus 13%). Signs indicative of T1MI were found in 8% of TTE, 46% of MPI, and in 63% of CA. Conclusion: Most patients with PMI did not receive any cardiovascular imaging within their PMI work-up. If performed, MPI and CA have high yield for signs indicative of T1MI. Study registration: https://clinicaltrials.gov/ct2/show/NCT02573532
An Automatic Modulation Classification Network for IoT Terminal Spectrum Monitoring under Zero-sample Situations
Authors: Zhou Quan , Zhang Ronghui , Zhang Fangpei , Jing Xiaojun 
Published: October 2021

Abstract
Rely on powerful computing resources, a large number of internet of things (IoT) sensors are placed in various locations to sense the environment around where we live and improve the service. The proliferation of IoT end devices has led to the misuse of spectrum resources, making spectrum regulation an important task. Automatic modulation classification (AMC) is a task in spectrum monitoring, which senses the electromagnetic space and is carried out under non-cooperative communication. However, DL-based methods are data-driven and require large amounts of training data. In fact, under some non-cooperative communication scenarios, it is challenging to collect the wireless signal data directly. How can the DL-based algorithm complete the inference task under zero-sample conditions? In this paper, a signal zero-shot learning network (SigZSLNet) is proposed for AMC under the zero-sample situations firstly. Specifically, for the complexity of the original signal data, SigZSLNet generates the convolutional layer output feature vector instead of directly generating the original data of the signal. The semantic descriptions and the corresponding semantic vectors are designed to generate the feature vectors of the modulated signals. The generated feature vectors act as the training data of zero-sample classes, and the recognition accuracy of AMC is greatly improved in zero-sample cases as a consequence. The experimental results demonstrate the effectiveness of the proposed SigZSLNet. Simultaneously, we show the generated feature vectors and the intermediate layer output of the model.
Long-Lasting Exendin-4-Loaded PLGA Nanoparticles Ameliorate Cerebral Ischemia/Reperfusion Evoked Brain Injury and Voiding Dysfunction in Diabetic Rats
Authors: Chung Cheng-Hsun , Chung Shiu-Dong , Cheng Yu-Hsiuan , Wang Wei-Hsiang , Jiang Pei-hsun , Yang Chun-Pai , Chien Chiang-Ting 
Published: October 2021

Abstract
Exendin-4 (Ex-4) is an incretin mimetic agent approved for diabetes treatment and neuronal protection. However, the required frequent injections restrict its clinical application. We prepared Ex-4-loaded poly(d,l-lactide-co-glycolide) nanoparticles (PEx-4) and investigated the effect on cerebral ischemia/reperfusion (IR) injury associated with cystopathy in diabetic rats. Using ten minutes of bilateral carotid artery occlusion combined with hemorrhage-induced hypotension of IR model in streptozotocin-induced type 1 diabetic (T1DM) Wistar rats, we compared Ex-4 and PEx-4 effect on prefrontal cortex edema, voiding function and oxidative stress including cerebral spinal fluid (CSF) reference H2O2 (RH2O2) and HOCl (RHOCl) levels, endoplasmic reticulum (ER) stress, apoptosis, autophagy and pyroptosis signaling in brain and bladder by western blot and immunohistochemistry. Single injection of PEx-4 displayed higher CSF antioxidant activity and long-lasting hypoglycemic effect than Ex-4 in rats. T1DM enhanced CSF RH2O2, and pIRE-1/cleaved caspase-12/pJNK/ATF4/ATF6/CHOP-mediated ER stress, caspase 3/PARP mediated apoptosis, Beclin-1/LC3-II mediated autophagy and caspase 1/IL-1β mediated pyroptosis signaling in the prefrontal cortex and bladders. IR led to prefrontal cortex edema, impairment in micturition center and further increased CSF RH2O2 and HOCl level, ER stress, apoptosis, autophagy and pyroptosis signaling in the T1DM brains and bladders. PEx-4 were more efficient than Ex-4 in attenuating IR-evoked prefrontal cortex edema and oxidative stress in brains and improving voiding dysfunction in bladders of T1DM rats. In summary, PEx-4 with stronger antioxidant activity and long-lasting bioavailability confer efficiently therapeutic efficacy to ameliorate IR-evoked brain and bladder injury through inhibiting oxidative stress, ER stress, apoptosis, autophagy and pyroptosis signaling in diabetic rats.
Genetic Architecture and QTL Selection Response For Kernza Perennial Grain Domestication Traits
Authors: Crain Jared , Larson Steve , Dorn Kevin , DeHaan Lee , Poland Jesse 
Published: October 2021

Abstract
Perennial grains have the potential to provide food for humans as well as decrease the negative impacts of annual agriculture. Intermediate wheatgrass (IWG, Thinopyrum intermedium, Kernza®) is a promising perennial grain candidate that The Land Institute has been breeding since 2001. We evaluated four consecutive breeding cycles of IWG from 2016-2020 with each cycle containing approximately 1100 unique genets. Using genotyping-by-sequencing markers, quantitative trait loci (QTL) were mapped for 34 different traits using genome-wide association analysis Combining data across cycles and years, we found 93 marker-trait associations (MTA) for 16 different traits, with each association explaining 0.8-5.2% of the observed phenotypic variance. Across the four cycles, only three QTL showed an FST differentiation > 0.15 with two corresponding to a decrease in floret shattering. Additionally, one marker associated with brittle rachis was 216 bp from an ortholog of the btr2 gene. Power analysis and quantitative genetic theory was used to estimate the effective number of QTL, which ranged from a minimum of 33 up to 558 QTL for individual traits. This study suggests that key agronomic and domestication traits are under polygenic control, and that molecular methods like genomic selection are needed to accelerate domestication and improvement of this new crop.
Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data
Authors: Zhang Martin , Hou Kangcheng , Pasaniuc Bogdan , Price Alkes L. , Dey Kushal , Jagadeesh Karthik , weinand Kathryn , Sakaue Saori , Taychameekiatchai Aris , Rao Poorvi , Pisco Angela Oliveira , Zou James , Wang Bruce , Gandal Michael , Raychaudhuri Soumya 
Published: October 2021

Abstract
Gene expression at the individual cell-level resolution, as quantified by single-cell RNA-sequencing (scRNA-seq), can provide unique insights into the pathology and cellular origin of diseases and complex traits. Here, we introduce single-cell Disease Relevance Score (scDRS), an approach that links scRNA-seq with polygenic risk of disease at individual cell resolution; scDRS identifies individual cells that show excess expression levels for genes in a disease-specific gene set constructed from GWAS data. We determined via simulations that scDRS is well-calibrated and powerful in identifying individual cells associated to disease. We applied scDRS to GWAS data from 74 diseases and complex traits (average N=341K) in conjunction with 16 scRNA-seq data sets spanning 1.3 million cells from 31 tissues and organs. At the cell type level, scDRS broadly recapitulated known links between classical cell types and disease, and also produced novel biologically plausible findings. At the individual cell level, scDRS identified subpopulations of disease-associated cells that are not captured by existing cell type labels, including subpopulations of CD4+ T cells associated with inflammatory bowel disease, partially characterized by their effector-like states; subpopulations of hippocampal CA1 pyramidal neurons associated with schizophrenia, partially characterized by their spatial location at the proximal part of the hippocampal CA1 region; and subpopulations of hepatocytes associated with triglyceride levels, partially characterized by their higher ploidy levels. At the gene level, we determined that genes whose expression across individual cells was correlated with the scDRS score (thus reflecting co-expression with GWAS disease genes) were strongly enriched for gold-standard drug target and Mendelian disease genes.
Development of the Paternal Brain in Humans throughout Pregnancy
Authors: Diaz-Rojas Françoise , Matsunaga Michiko , Tanaka Yukari , Kikusui Takefumi , Mogi Kazutaka , Nagasawa Miho , Asano Kohei , Abe Nobuhito , Myowa Masako 
Published: October 2021

Abstract
Previous studies have demonstrated that paternal caregiving behaviours are reliant on neural pathways similar to those supporting maternal care. Interestingly, a greater variability exists in parental phenotypes in males than in females among individuals and mammalian species. However, less is known about when or how such variability emerges in human males. We investigated the longitudinal changes in the neural, hormonal and psychological bases of expression of paternal caregiving in humans throughout pregnancy and the first four months postpartum. We measured oxytocin and testosterone, paternity-related psychological traits and neural response to infant-interaction videos using fMRI in first-time fathers and childless men at three time points (early–mid-pregnancy, late-pregnancy and postpartum). We found that paternal-specific brain activity in prefrontal areas distinctly develops during middle-to-late pregnancy and is enhanced postpartum. Additionally, among fathers, the timing of the development of prefrontal brain activity was associated with specific parenting phenotypes.
Advances in dielectric performance of atomically engineered perovskite nanosheet thin films
Authors: Yim Haena , Yoo So Yeon , Choi Haneul , Chang Hye Jung , Hwang Seong-Ju , Nahm Sahn , Osada Minoru , Choi Ji-Won 
Published: October 2021

Abstract
The search for new high-performance dielectric material receives continued research interest. Several mechanisms for high permittivity have been proposed such as BaTiO3-based perovskites or CaCu3Ti4O12. Nevertheless, developing thin films with such high performance remains a highly challenging task. However, reducing the BaTiO3-based film thickness raises the leakage current and suppresses dielectric responses because of a low-permittivity interfacial ‘dead-layer’. Here, we propose a new materials design route to great permittivity behavior in atomically-thin films, where charge engineering of layered perovskites generates giant polarizability and results in 2-dimensional materials with colossal permittivity. Firstly, we present a concrete example Dion-Jacobson type KSr2 − xBixNb3O10 and its cation-exchanged form HSr2 − xBixNb3O10, which exhibit a stable colossal permittivity and a low dielectric loss. Also, Sr2(1−x)Bi2xNb3O10 (x = 0.1) nanosheets attain by chemical exfoliation method with a high dielectric permittivity of over 500, the highest among all known dielectrics in the ultrathin films (< 20 nm). As Bi-substitution of Sr2Nb3O10, the dielectric permittivity exhibits two times higher value due to higher polarizability of Bi ions and leads larger dielectric permittivity. Density functional theory calculations suggest that the substitution of high-valent Bi ions with lone pairs are responsible for the colossal permittivity. Our results provide a strategy for achieving new high-k nanodielectrics for use in nano-scaled electronics.
Applying Task Scheduling For IOMT-Cloud Business Optimisation Using AI
Authors: HUSSAIN ADEDOYIN , Al-Turjman Fadi 
Published: October 2021

Abstract
The IoMT-cloud enables a surplus extent of customers to get disseminated, versatile, and virtualized gear just as programming structure over the Internet. The IoMT-cloud is one of the principal headway used recently, it grants customers to get cloud resources over the internet remotely. Hence, we need to complete a reasonable task scheduling estimation to tolerably and viably meet these requests. The scheduling of task issue is perhaps the most essential issue in the IoMT-cloud since cloud execution depends prevalently upon it. Capable task scheduling administration should meet customer's requirements and improve the resources used to overhaul the introduction of the IoMT-cloud framework. To deal with this issue, in this investigation, we attempt to show the two most notable static and one dynamic task scheduling execution separately, short job first (SJF), first come first serve (FCFS), and round-robin (RR). Likewise, it was advanced using the AI technique known as genetic algorithm (GA). The CloudSim simulation framework is used to measure their impact on total execution time (TET), algorithm complexity, throughput, resource utilization, total waiting time (TWT), availability of assets, total finish time (TFT), cost, and resource utilization. The model proposed is to improve the viability of task scheduling for the IoMT-cloud stage with the best execution rate of 32.47ms. The exploratory results show that GA cuts down the cost of planning and reduces the total time, which is a convincing computation for the IoMT-cloud task scheduling.
An Application-Driven Modular Traffic Light Control System Using Lean Supply Chain
Authors: Rajesh Sudha , R Sonia , P Amudhavalli , S Karthikeyan , Jackson Beulah , B Kiran Bala 
Published: October 2021

Abstract
Lean is an endless journey to develop and excel the business. Any company would like to build and deal with the whole world pace should adopt lean. Though, in the vast majority of the companies the management philosophy or mentality of people is not so great to adopt change. Lean typically deals with superior quality, lowest cost and quicker lead time. Lean Supply chain technology in the traffic control system has supplied intelligent green interval responses to control the incapability of standard fixed traffic controllers. The researchers have implemented the technology of lean supply chain to boost up the performance of traffic light and control the traffic jam. The limitations of traditional passing vehicles have been solved by the set of rules. The two set of guidance have been monitored the traffic light system by dynamic system; the vehicle, upstream and downstream lane follows red light and the number of vehicles have passed through a green light. These kinds of vehicles have dynamically controlled the timing of red and green. The dynamic traffic controller and a fixed time controller have shown the differences in performance through the Lean supply chain theory. The researchers have compared and stimulate the data of the performance of their algorithm with the undeveloped one. The results have shown that the algorithm has much better than undeveloped one, because it increases the traffic efficiency and decreases the waiting time by 45 minutes.