bluuebunny/crossref_metadata_2025_split huggingface dataset:
In pursuit of balance: renin–angiotensin–aldosterone system inhibitors and hyperkalaemia treatment
Authors: Sciatti Edoardo , D’Elia Emilia , Balestrieri Giulio , D’Isa Salvatore , Iacovoni Attilio , Senni Michele 
Published: January 2023

Abstract
Hyperkalaemia is a life-threatening condition leading to significant morbidity and mortality. It is common in heart failure (HF) patients due to the disease itself, which often co-exists with chronic kidney disease and diabetes mellitus, the fluctuations in renal function, and the use of some drugs [i.e. renin–angiotensin–aldosterone system (RAAS) inhibitors]. In particular, hyperkalaemia opposes to their administration or up-titration, thus impacting on mortality. New K+ binders, namely, patiromer and sodium zirconium cyclosilicate, are an intriguing option to manage hyperkalaemia in HF patients, both to reduce its fatal effects and to let clinicians up-titrate RAAS inhibitors. Even if their real impact on strong outcomes is still to be determined, we hereby provide an overview of hyperkalaemia in HF and its current management. New trials are welcome to fill the gap in knowledge.
An efficient exact algorithm for identifying hybrids using population genomic sequences
Authors: Chakraborty Sneha , Rannala Bruce 
Published: January 2023

Abstract
The identification of individuals that have a recent hybrid ancestry (between populations or species) has been a goal of naturalists for centuries. Since the 1960s, codominant genetic markers have been used with statistical and computational methods to identify F1 hybrids and backcrosses. Existing hybrid inference methods assume that alleles at different loci undergo independent assortment (are unlinked or in population linkage equilibrium). Genomic datasets include thousands of markers that are located on the same chromosome and are in population linkage disequilibrium which violate this assumption. Existing methods may therefore be viewed as composite likelihoods when applied to genomic datasets and their performance in identifying hybrid ancestry (which is a model-choice problem) is unknown. Here, we develop a new program Mongrail that implements a full-likelihood Bayesian hybrid inference method that explicitly models linkage and recombination, generating the posterior probability of different F1 or F2 hybrid, or backcross, genealogical classes. We use simulations to compare the statistical performance of Mongrail with that of an existing composite likelihood method (NewHybrids) and apply the method to analyze genome sequence data for hybridizing species of barred and spotted owls.
An Automated, Home-Cage, Video Monitoring-based Mouse Frailty Index Detects Age-associated Morbidity in C57BL/6 and Diversity Outbred Mice
Authors: Ruby J Graham , Di Francesco Andrea , Ylagan Paulo , Luo Angela , Keyser Robert , Williams Owen , Spock Sarah , Li Wenzhou , Vongtharangsy Nalien , Chatterjee Sandip , Sloan Cricket A , Ledogar Charles , Kuiper Veronica , Kite Janessa , Cosino Marcelo , Cha Paulyn , Karlsson Eleanor M 
Published: January 2023

Abstract
Frailty indexes (FIs) provide quantitative measurements of nonspecific health decline and are particularly useful as longitudinal monitors of morbidity in aging studies. For mouse studies, frailty assessments can be taken noninvasively, but they require handling and direct observation that is labor-intensive to the scientist and stress inducing to the animal. Here, we implement, evaluate, and provide a refined digital FI composed entirely of computational analyses of home-cage video and compare it to manually obtained frailty scores in both C57BL/6 and genetically heterogeneous Diversity Outbred mice. We show that the frailty scores assigned by our digital index correlate with both manually obtained frailty scores and chronological age. Thus, we provide an automated tool for frailty assessment that can be collected reproducibly, at scale, without substantial labor cost.
Population-based genetic analysis in infertile men reveals novel mutations of ADAD family members in patients with impaired spermatogenesis
Authors: Dai Siyu , Liu Mohan , Liu Man , Jiang Chuan , Yang Yanting , Han Huifeng , Yang Yihong , Jiang Xiaohui , Shen Ying 
Published: January 2023

Abstract
The testis-specific adenosine deaminase domain-containing (ADAD) protein family, including ADAD1 and ADAD2, has been confirmed to be essential in mouse male fertility. However, the roles of ADAD1 and ADAD2 in human reproductive biology are unclear. Herein, whole-exome sequencing was conducted for 337 infertile patients to detect pathogenic variants in ADAD1 and ADAD2. Importantly, a novel deleterious biallelic variant of NM_001159285.2:c.1408G &gt; T (p.V470F) and NM_001159285.2:c.1418A &gt; G (p.E473G) in ADAD1 and a pathogenic homozygous missense variant of NM_001145400.2:c.1381C &gt; T (p.R461W) in ADAD2 were identified in this infertile cohort with frequencies of 0.29 (1/337) and 0.59% (2/337), respectively. Electron microscopy revealed an abnormal morphology and severely disorganized ultrastructure of sperm from the patients. Immunofluorescence and western blotting showed a sharp decrease in ADAD1 and ADAD2 expression in sperm from the patients. Mechanistically, bioinformatics analysis suggested that ADAD2 interacts with DNAH17. Furthermore, we demonstrated that the expression of DNAH17 was markedly downregulated in the sperm of patients harboring ADAD2 variants. In addition, the expression of several autophagy regulators was significantly disrupted in the sperm of patients harboring ADAD2 variants. In conclusion, we identified novel ADAD1 and ADAD2 variants in three infertile patients from a large infertile cohort, first providing evidence that ADAD1 and ADAD2 variants might be a candidate genetic cause of human male infertility. Moreover, an important new dimension to our understanding of the genotype–phenotype correlations between the ADAD gene family and male infertility in humans has been uncovered, providing valuable information for the genetic diagnosis of male infertility.
An unconditionally energy stable finite element scheme for a nonlinear fluid–fluid interaction model
Authors: Li Wei , Huang Pengzhan , He Yinnian 
Published: January 2023

Abstract
In this paper, we design a decoupled scheme for solving a fluid–fluid interaction problem, which includes two Navier–Stokes equations coupled by some nonlinear interface conditions. Compared with two decoupled schemes proposed by Connors et al. (2012, Decoupled time stepping methods for fluid–fluid interaction. SIAM J. Numer. Anal., 50, 1297–1319) for the fluid–fluid interaction problem, we deal with these nonlinear interface conditions by applying explicit scheme. The presented fully discrete scheme is a combination of a mixed finite element approximation for spatial discretization, the first-order backward Euler scheme for temporal discretization and explicit treatment for the interface conditions and the nonlinear terms. Moreover, the unconditional energy stability is established and error estimate for the fully discrete scheme is also showed. Finally, some numerical experiments are provided to verify the theoretical results, which illustrate the accuracy and efficiency of the presented scheme.
Security beyond Biopolitics: The Spheropolitics, Co-Immunity, and Atmospheres of the Coronavirus Pandemic
Authors: Weinfurter Jaroslav 
Published: January 2023

AbstractThis article explores the limitations of the oft-used biopolitical frameworks of interpreting the regulatory emergency measures that have been enacted worldwide in the face of the spreading pandemic of COVID-19. Not only have the state responses to coronavirus often been beset by manner of “biopolitical failures,” it is also the Foucauldian emphasis on the top-down formation and application of immunity that produces a view of health security that is much too narrow. In proposing an alternative framework, the article draws from the spherology of Peter Sloterdijk and suggests a transition from bio- to a distinctly sphero-political theory of immunity that is capable of integrating the ontological synergies that exist between human bodies, spaces, and atmospheres. More specifically, the spheropolitics of coronavirus are discussed in relation to the security dispositif of the household and examined through the case of the Czech Republic.
Virtual Flipped Classroom in HCI Courses: Case Studies on the Experience of Brazilian Students
Authors: Zaina Luciana A M , Martinelli Suéllen R 
Published: January 2023

Abstract
The interest in virtual learning is not new; however, it has become a hot topic since the outbreak of COVID-19. In the area of human–computer interaction (HCI), there have been few educational experiences conducted in fully online mode. This paper examines a virtual flipped classroom–based approach, which was adopted to support HCI teaching–learning by using online tools. We conducted two case studies at a Brazilian University and carried out qualitative data analysis. We also investigated how this approach affected the experience of undergraduate and graduate students, together with the skills it enabled them to acquire. The results revealed a high degree of satisfaction and motivation felt by students when they adopted this approach and a change in their mindset about the importance of HCI in their future job activities as professionals. Skills related to effective work in group management and innovative thinking were also stimulated by our approach.
Optimizing patient recruitment into clinical trials of antimicrobial-resistant pathogens
Authors: Paul Mical , Dishon-Benattar Yael , Dickstein Yaakov , Yahav Dafna 
Published: January 2023

Abstract
Recruitment of patients with critical priority antimicrobial-resistant (AMR) bacteria into drug approval randomized controlled trials (RCTs) has not been successful to date. Approaching from the viewpoint of clinician-investigators and learning from the experience of AMR-focused investigator-initiated trials, we present suggestions to improve feasibility and efficiency of RCTs evaluating patients with severe infections caused by carbapenem-resistant Gram-negative or other AMR bacteria. Considerations address the trials’ eligibility criteria, whether the focus of the trial is pathogen- or syndrome-targeted, trials’ case report forms and monitoring, informed consent strategies for the recruitment of extremely ill patients, team dedication and incentives to run the trial and alternative trial designs. Evidence on the effects of new drugs against the AMR that these drugs target is weak and needs to be improved through better industry–academic collaboration, taking advantage of the different strengths of industry-led and investigator-initiated research.
The role of temperature and carbon dioxide climatic stress factors on the growth kinetics ofEscherichia coli
Authors: Roufou Styliani , Griffin Sholeem , Attard Juan , Katsini Lydia , Polańska Monika , Van Impe Jan F M , Gatt Ruben , Valdramidis Vasilis P 
Published: January 2023

AbstractAimsThe global level of carbon dioxide and temperature in the atmosphere is expected to increase, which may affect the survival of the stress-adapted bacteria. In this study, the effect of temperature and dissolved carbon dioxide on the growth rate of Escherichia coli-eGFP tagged strain was studied, thus assessing its response to induced environmental stress factors.Methods and resultsA kinetic assay has been performed using a microplate reader with a spectrofluorometer to determine the specific growth rates. Polynomial models were developed to correlate the environmental conditions of temperature and carbon dioxide with Escherichia coli BL21 (DE3) growth in culture media and dairy by-products. At a temperature of 42°C, as the dissolved CO2 increased, a decrease in μmax by 0.76 h−1 was observed. In contrast, at 27°C, this increase led to an increase in μmax by 0.99 h−1. Moreover, a correction factor was added when applying the model to dairy whey samples.ConclusionsThe application of this developed model can be considered a useful tool for predicting the growth of Escherichia coli using climate projections.
A scoping review of digital health interventions for combating COVID-19 misinformation and disinformation
Authors: Czerniak Katarzyna , Pillai Raji , Parmar Abhi , Ramnath Kavita , Krocker Joseph , Myneni Sahiti 
Published: January 2023

AbstractObjectiveWe provide a scoping review of Digital Health Interventions (DHIs) that mitigate COVID-19 misinformation and disinformation seeding and spread.Materials and MethodsWe applied our search protocol to PubMed, PsychINFO, and Web of Science to screen 1666 articles. The 17 articles included in this paper are experimental and interventional studies that developed and tested public consumer-facing DHIs. We examined these DHIs to understand digital features, incorporation of theory, the role of healthcare professionals, end-user experience, and implementation issues.ResultsThe majority of studies (n = 11) used social media in DHIs, but there was a lack of platform-agnostic generalizability. Only half of the studies (n = 9) specified a theory, framework, or model to guide DHIs. Nine studies involve healthcare professionals as design or implementation contributors. Only one DHI was evaluated for user perceptions and acceptance.DiscussionThe translation of advances in online social computing to interventions is sparse. The limited application of behavioral theory and cognitive models of reasoning has resulted in suboptimal targeting of psychosocial variables and individual factors that may drive resistance to misinformation. This affects large-scale implementation and community outreach efforts. DHIs optimized through community-engaged participatory methods that enable understanding of unique needs of vulnerable communities are urgently needed.ConclusionsWe recommend community engagement and theory-guided engineering of equitable DHIs. It is important to consider the problem of misinformation and disinformation through a multilevel lens that illuminates personal, clinical, cultural, and social pathways to mitigate the negative consequences of misinformation and disinformation on human health and wellness.
Aesthetic Treatment of Acute Burns of the Face Using Electro-Photobiomodulation
Authors: Elmelegy Nader Gomaa 
Published: January 2023

Abstract
The quicker a second-degree burn wound heals, the less surgery is required. Low-energy laser therapy may expedite the healing of wounds, according to recent literature findings. To establish this, it was decided to carry out a clinical trial on acute burn patients to demonstrate whether electro-photobiomodulation (EPBM) therapy can hasten wound closure, thereby obviating the need for surgery without worsening hypertrophic scarring and contracture. In clinical prospective analysis, 42 acute burn patients with recent burns to the face alone (13) or the face and additional areas (29). Twenty-six males and 16 women were included. All patients received twice-weekly sessions of intense pulsed light (IPL) and radiofrequency for the face and other areas. Clinical assessment showed excellent results in 34 (81%) patients, good results in 6 (14.3%) patients, fair results in two (4.7%) patients, and no poor results were reported. The results of this clinical trial showed that IPL and radiofrequency therapy can rapidly heal deep skin burns without the need for surgery. and lowered the incidence of hypertrophic scarring and contractures. EPBM induces better aesthetic and functional outcomes (particularly in burns of the face).
Characterization and design of two-dimensional multi-morphology cellular structures for desired deformation
Authors: Kim Youngdoo , Nguyen Phong C H , Kim Hoon , Choi Hae-Jin , Choi Young 
Published: January 2023

AbstractMulti-morphology cellular structures have recently gained increased attention in many areas owing to their capability to adjust their geometric and mechanical properties spatially. These cellular structures hence deform differently from conventional uniform cellular structures. However, the relationship between their geometric and the manner of their deformation has not been extensively investigated. In this study, the deformation of multi-morphology cellular structures was characterized, and a deformation prediction method was proposed. More closely, the effects of multi-morphology cellular structures’ design variables on their deformation were measured, and the effect of neighbouring unit cells at a given local area on deformation was evaluated. Based on the observations, a deformation prediction model considering the neighbouring effect was developed, and used in an optimization process for achieving the desired deformation. A numerical study was conducted to validate the proposed method, and the deformation of optimized multi-morphology cellular structures showed good agreement with the desired deformation.
Fungicide Exposure in Honey Bee Hives Varies By Time, Worker Role, and Proximity to Orchards in Spring
Authors: Perkins Jacquelyn A , Kim Kyungmin , Gut Larry J , Sundin George W , Wilson Julianna K 
Published: January 2023

Abstract
Fungicides are commonly applied to prevent diseases in eastern North American cherry orchards at the same time that honey bees (Apis mellifera L. (Hymenoptera: Apidae)) are rented for pollination services. Fungicide exposure in honey bees can cause negative health effects. To measure fungicide exposure, we sampled commercial honey bee colonies during orchard bloom at two commercial tart cherry orchards and one holding yard in northern Michigan over two seasons. Nurse bees, foragers, larvae, pollen, bee bread, and wax were screened for captan, chlorothalonil, and thiophanate-methyl. We also looked at the composition of pollens collected by foragers during spring bloom. We found differences in fungicide residue levels between nurse bees and foragers, with higher captan levels in nurse bees. We also found that residue levels of chlorothalonil in workers were significantly increased during tart cherry bloom, and that nurse bees from hives adjacent to orchards had significantly higher chlorothalonil residues than nurse bees from hives kept in a holding yard. Our results suggest that fungicide exposure of individual honey bees depends greatly on hive location in relation to mass-flowering crops, and worker role (life stage) at the time of collection. In some pollen samples, captan and chlorothalonil were detected at levels known to cause negative health effects for honey bees. This study increases our understanding of exposure risk for bees under current bloom time orchard management in this region. Further research is needed to balance crop disease management requirements with necessary pollination services and long-term pollinator health.
Acaricidal and Insecticidal Activities of Essential Oils and Constituents ofTasmannia lanceolata(Poir.) A.C.Sm. (Canellales: Winteraceae) AgainstTetranychus urticaeKoch (Trombidiformes: Tetranychidae) andMyzus persicaeSulzer (Hemiptera: Aphididae)
Authors: Lee Min-Woo , Lee Dong-Ho , Nam Il , Lee Jae-Woo , Huh Min-Jung , Park Il-Kwon 
Published: January 2023

AbstractThe negative side effects of synthetic pesticides have drawn attention to the need for environmentally friendly agents to control arthropod pests. To identify promising candidates as botanical pesticides, we investigated the acaricidal and insecticidal activities of 44 plant-derived essential oils (EOs) against Tetranychus urticae Koch and Myzus persicae Sulzer. Among the tested EOs, Tasmannia lanceolata (Poir.) A.C.Sm. (Tasmanian pepper) essential oil (TPEO) exhibited strong acaricidal and insecticidal activity. Mortality rates of 100% and 71.4% against T. urticae and M. persicae, respectively, were observed with TPEO at a concentration of 2 mg/ml. Polygodial was determined to be the primary active component after bioassay-guided isolation of TPEO using silica gel open-column chromatography, gas chromatography, and gas chromatography–mass spectrometry. Polygodial demonstrated acaricidal activity against T. urticae with mortality rates of 100%, 100%, 61.9%, and 61.6% at concentrations of 1, 0.5, 0.25, and 0.125 mg/ml, respectively. Insecticidal activity against M. persicae was also evident, with mortality rates of 88.5%, 85.0%, 46.7%, and 43.3% at respective concentrations of 1, 0.5, 0.25, and 0.125 mg/ml. Insecticidal and acaricidal activities of TPEO were greater than those of Eungjinssag, a commercially available organic agricultural material for controlling mites and aphids in the Republic of Korea. These findings suggest that TPEO is a promising candidate for mites and aphids control.
scHi-CSim: a flexible simulator that generates high-fidelity single-cell Hi-C data for benchmarking
Authors: Fan Shichen , Dang Dachang , Ye Yusen , Zhang Shao-Wu , Gao Lin , Zhang Shihua 
Published: January 2023

Abstract
Single-cell Hi-C technology provides an unprecedented opportunity to reveal chromatin structure in individual cells. However, high sequencing cost impedes the generation of biological Hi-C data with high sequencing depths and multiple replicates for downstream analysis. Here, we developed a single-cell Hi-C simulator (scHi-CSim) that generates high-fidelity data for benchmarking. scHi-CSim merges neighboring cells to overcome the sparseness of data, samples interactions in distance-stratified chromosomes to maintain the heterogeneity of single cells, and estimates the empirical distribution of restriction fragments to generate simulated data. We demonstrated that scHi-CSim can generate high-fidelity data by comparing the performance of single-cell clustering and detection of chromosomal high-order structures with raw data. Furthermore, scHi-CSim is flexible to change sequencing depth and the number of simulated replicates. We showed that increasing sequencing depth could improve the accuracy of detecting topologically associating domains. We also used scHi-CSim to generate a series of simulated datasets with different sequencing depths to benchmark scHi-C clustering methods.
Informative core identification in complex networks
Authors: Miao Ruizhong , Li Tianxi 
Published: January 2023

AbstractIn a complex network, the core component with interesting structures is usually hidden within noninformative connections. The noises and bias introduced by the noninformative component can obscure the salient structure and limit many network modeling procedures’ effectiveness. This paper introduces a novel core–periphery model for the noninformative periphery structure of networks without imposing a specific form of the core. We propose spectral algorithms for core identification for general downstream network analysis tasks under the model. The algorithms enjoy strong performance guarantees and are scalable for large networks. We evaluate the methods by extensive simulation studies demonstrating advantages over multiple traditional core–periphery methods. The methods are also used to extract the core structure from a citation network, which results in a more interpretable hierarchical community detection.
Modelling matrix time series via a tensor CP-decomposition
Authors: Chang Jinyuan , He Jing , Yang Lin , Yao Qiwei 
Published: January 2023

AbstractWe consider to model matrix time series based on a tensor canonical polyadic (CP)-decomposition. Instead of using an iterative algorithm which is the standard practice for estimating CP-decompositions, we propose a new and one-pass estimation procedure based on a generalized eigenanalysis constructed from the serial dependence structure of the underlying process. To overcome the intricacy of solving a rank-reduced generalized eigenequation, we propose a further refined approach which projects it into a lower-dimensional full-ranked eigenequation. This refined method can significantly improve the finite-sample performance. We show that all the component coefficient vectors in the CP-decomposition can be estimated consistently. The proposed model and the estimation method are also illustrated with both simulated and real data, showing effective dimension-reduction in modelling and forecasting matrix time series.