bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Bayesian model averaging method for software reliability modeling and assessment
Authors: Li Zhaojun Steven , Jia Shun , Yu Qiumin 
Published: January 2023

AbstractThe software reliability modeling is of great significance in improving software quality and managing the software development process. However, the existing methods are not able to accurately model software reliability improvement behavior because existing single model methods rely on restrictive assumptions and combination models cannot well deal with model uncertainties. In this article, we propose a Bayesian model averaging (BMA) method to model software reliability. First, the existing reliability modeling methods are selected as the candidate models, and the Bayesian theory is used to obtain the posterior probabilities of each reliability model. Then, the posterior probabilities are used as weights to average the candidate models. Both Markov Chain Monte Carlo (MCMC) algorithm and the Expectation–Maximization (EM) algorithm are used to evaluate a candidate model's posterior probability and for comparison purpose. The results show that the BMA method has superior performance in software reliability modeling, and the MCMC algorithm performs better than EM algorithm when they are used to estimate the parameters of BMA method.
Inference for step‐stress plan with Khamis‐Higgins model under type‐II censored Weibull data
Authors: Amleh Mohammad A. , Raqab Mohammad Z. 
Published: January 2023

AbstractThe accelerated life testing (ALT) is frequently used in examining the component reliability and acceptance testing. The ALT is carried out by exposing the unit to higher stress levels in order to observe data faster than those are producing under the normal conditions. The simple step‐stress model based on type‐II censoring Weibull lifetimes is studied here. In addition, the lifetimes satisfy Khamis‐Higgins model assumption. In this paper, Bayesian approaches are developed for estimating the model parameters and predicting times to failure of future censored of the simple step‐stress model from Weibull distribution using Khamis‐Higgins model. The main goal of this work consists of two parts. First, the Bayesian estimation of the unknown parameters involved in the model is considered by adopting Devroye method to generate log‐concave densities within sampling‐based algorithm under different loss functions. The Bayes and highest posterior density credible intervals are then established. Second, the estimation of the posterior predictive density of the future lifetimes are discussed to obtain the point and prediction intervals with a given coverage probability. Monte Carlo simulation is performed to check the efficiency of the developed procedures and analyze a real data set for illustrative purposes.
Polarization‐Entangled Photon Pairs from Warm Atomic Ensemble with Magnetic Background Noise
Authors: Bae Jinhyuk , Park Jiho , Yu Ye Jin , Noh Heung‐Ryoul , Moon Han Seb 
Published: January 2023

AbstractAtomic ensembles are important quantum resources for the generation, manipulation, and quantum memory of entangled photons. In photonic quantum information based on atom–photon interactions, high‐quality entangled‐photon‐pair sources are essential for realizing quantum information networks consisting of channels to connect the nodes through atomic ensembles. Here, a proof‐of‐concept for controlling polarization‐entangled photon‐pair sources from atomic ensembles by an external magnetic field under a magnetic noise environment is demonstrated. In the unshielded magnetic field, the polarization entangled state of the photon pair could be optimized to the target state by adjusting the magnetic field in an atomic vapor cell. The polarization‐interference fringe, Bell's inequality value, quantum state tomography, and Hong–Ou–Mandel interference of the polarization entangled photon pairs from the cascade‐type 5S1/2–5P3/2–5D5/2 transition of 87Rb according to the direction of the external magnetic field. Accordingly, a magnetic field is found to be a promising means for controlling entangled two‐qubit states based on atom–photon.
Water quality impacts on sorbent efficacy for per‐ and polyfluoroalkyl substances treatment of groundwater
Authors: Hayman Nicholas T. , Carilli Jessica E. , Liu Yina , Shields Michael R. , Hsu Lewis , George Robert 
Published: January 2023

AbstractPer‐ and polyfluoroalkyl substances (PFAS) are a large group of synthetic compounds that have emerged as chemicals of concern in drinking water and groundwater. Typically, such waters are treated to remove PFAS by passing the water through a bed of sorbent material (e.g., activated carbon and anion exchange resins [AIX]). However, the efficacy of these sorbents varies depending on the types and concentrations of PFAS, in addition to water quality conditions such as organic matter content and conductivity (ionic strength). The choice of sorbent material to effectively treat PFAS in complex natural waters will, therefore, depend upon site water quality and PFAS conditions. To help inform these decisions, a series of evaluations using a rapid small‐scale column test approach was conducted with two sorbent materials (a granulated activated carbon [GAC] and an AIX), individually and combined, under conditions where conductivity, pH, and organic carbon concentrations were varied in a semifactorial approach. Artificial groundwater batches were prepared to meet these test conditions and spiked with six PFAS compounds (perfluorobutane sulfonic acid [PFBS], perfluorobutanoic acid [PFBA], perfluorohexane sulfonic acid [PFHxS], perfluorohexanoic acid [PFHxA], perfluorooctane sulfonic acid [PFOS], and perfluorooctanoic acid [PFOA]), passed through small columns packed with ground sorbent material for ∼30,000 bed volumes of water for single sorbent treatments and ∼20,000 bed volumes for combined sorbent treatments, during which samples of effluent were captured and analyzed to quantify breakthrough of PFAS from the sorbent materials over time. AIX was found to be more effective than GAC at removing the tested perfluoroalkyl sulfonic acids (PFBS, PFHxS, and PFOS), but GAC was similarly or more effective than AIX at removing perfluorocarboxylic acids (PFBA, PFHxA, and PFOA) under high conductivity conditions. Overall, the efficacy of AIX at removing PFAS was more strongly impacted by organic carbon and conductivity than GAC, while pH had less of an effect on either sorbent's efficacy compared to the other test conditions.
Systematic review of factors predictive of unfavourable vaginal bleeding in women of reproductive age using the contraceptive etonogestrel implant
Authors: Walker Susan , Claydon‐Mueller Leica , Kabir Russell , Piercy Hilary , Massey Marie‐Therese , Costanzo Italo 
Published: January 2023

AbstractIntroductionThis systematic review sought predictors of unfavourable bleeding profiles in women using the etonogestrel contraceptive implant. Unfavourable bleeding is common and a leading cause of requests for removal.MethodsWe included randomised controlled trials (RCTs), and prospective and retrospective cohort studies from 1998 to October 2022. Inclusion criteria were healthy women using etonogestrel for contraception. Papers not in English were excluded as were ongoing or incomplete studies. We searched Pubmed, Pubmed Central, MEDLINE (Web of Science & Ovid), Cochrane library, CINAHL Plus, WHO (HINARI), Open Grey and Greynet.org. Risk of Bias was assessed using ROB2 IRPGv9 for RCTs and ROBINS‐I for non‐RCTs. We conducted a narrative analysis.ResultsWe included 13 studies. Lower body mass index (BMI), younger age, parity and smoking status were statistically, significantly associated with unfavourable bleeding patterns in one or more studies. No studies reported post‐partum status having a significant association with unfavourable bleeding. The available data was too limited and too heterogeneous to perform a robust meta‐analysis.DiscussionHeterogeneity in reported outcomes and timescales limited the accuracy of synthesis. Risk of bias was moderate to serious in non‐RCTs due to baseline differences and missing or imputed data. The protective effect of higher BMI for unfavourable bleeding is in keeping with previous reviews and studies and is a clinically important finding.
Relation between semen oxidative reduction potential in initial semen examination and IVF outcomes
Authors: Tomita Kazuhisa , Udayanga Kankanam Gamage Sanath , Satoh Manabu , Hashimoto Shu , Morimoto Yoshiharu 
Published: January 2023

AbstractPurposeThe MiOXSYS system is a new technique to analyze the semen oxidative reduction potential (ORP) that may use to classify the level of sperm DNA integrity. It does not clearly explain how the semen ORP values could help to change the IVF outcomes. We have analyzed correlations between semen ORP value and the IVF results.MethodsFour hundred and thirty couples were enrolled. The male counterparts were divided into two groups according to their semen ORP values and compared the fertilization rate, cell cleavage rate, and embryo quality, following the IVF procedures. The relations between ORP values and the clinical pregnancy, live birth, and abortion rates were analyzed.ResultsThe ORP values show negative and positive correlations with some conventional semen parameters. The fertilization and the cleavage rate did not show any differences in those two groups, but the transferable embryo rate was significantly high in patients with high semen ORP. However, the patients with high ORP show a tendency to lower clinical pregnancy with a low abortion rate compared to the low ORP group.ConclusionThe main purpose of measuring the ORP value in semen is still questionable and shows controversial results.
Overview of single‐cell RNA sequencing analysis and its application to spermatogenesis research
Authors: Suzuki Takahiro 
Published: January 2023

AbstractBackgroundSingle‐cell transcriptomics allows parallel analysis of multiple cell types in tissues. Because testes comprise somatic cells and germ cells at various stages of spermatogenesis, single‐cell RNA sequencing is a powerful tool for investigating the complex process of spermatogenesis. However, single‐cell RNA sequencing analysis needs extensive knowledge of experimental technologies and bioinformatics, making it difficult for many, particularly experimental biologists and clinicians, to use it.MethodsAiming to make single‐cell RNA sequencing analysis familiar, this review article presents an overview of experimental and computational methods for single‐cell RNA sequencing analysis with a history of transcriptomics. In addition, combining the PubMed search and manual curation, this review also provides a summary of recent novel insights into human and mouse spermatogenesis obtained using single‐cell RNA sequencing analyses.Main FindingsSingle‐cell RNA sequencing identified mesenchymal cells and type II innate lymphoid cells as novel testicular cell types in the adult mouse testes, as well as detailed subtypes of germ cells. This review outlines recent discoveries into germ cell development and subtypes, somatic cell development, and cell–cell interactions.ConclusionThe findings on spermatogenesis obtained using single‐cell RNA sequencing may contribute to a deeper understanding of spermatogenesis and provide new directions for male fertility therapy.
Reorganization, specialization, and degradation of oocyte maternal components for early development
Authors: Satouh Yuhkoh , Sato Ken 
Published: January 2023

AbstractBackgroundOocyte components are maternally provided, solely determine oocyte quality, and coordinately determine embryo quality with zygotic gene expression. During oocyte maturation, maternal organelles are drastically reorganized and specialized to support oocyte characteristics. A large number of maternal components are actively degraded after fertilization and gradually replaced by zygotic gene products. The molecular basis and the significance of these processes on oocyte/embryo quality are not fully understood.MethodsFirstly, recent findings in organelle characteristics of other cells or oocytes from model organisms are introduced for further understanding of oocyte organelle reorganization/specialization. Secondly, recent progress in studies on maternal components degradation and their molecular mechanisms are introduced. Finally, future applications of these advancements for predicting mammalian oocyte/embryo quality are discussed.Main findingsThe significance of cellular surface protein degradation via endocytosis for embryonic development, and involvement of biogenesis of lipid droplets in embryonic quality, were recently reported using mammalian model organisms.ConclusionIdentifying key oocyte component characteristics and understanding their dynamics may lead to new applications in oocyte/embryo quality prediction and improvement. To implement these multidimensional concepts, development of new technical approaches that allow us to address the complexity and efficient studies using model organisms are required.
Selective Janus Kinase 1 Inhibition Resolves Inflammation and Restores Hair Growth Offering a Viable Treatment Option for Alopecia Areata
Authors: Mattsson Johan , Israelsson Elisabeth , Björhall Karin , Yrlid Linda Fahlén , Thörn Kristoffer , Thorén Anna , Toledo Emelie Andersén , Jinton Lisa , Öberg Lisa , Wingren Cecilia , Tapani Sofia , Jackson Sonya G. , Skogberg Gabriel , Lundqvist Anders J. , Hendrickx Ramon , Cavallin Anders , Österlund Torben , Grimster Neil P. , Nilsson Magnus , Åstrand Annika 
Published: January 2023

Abstract

Background
Janus Kinase (JAK) inhibition has recently demonstrated therapeutic efficacy in both restoring hair growth and resolving inflammation in Alopecia Areata (AA). These effects are dose dependent and mainly efficacious at ranges close to a questionable risk profile.

Objectives
We explored the possibility to separate the beneficial and adverse effects of JAK inhibition by selectively inhibiting JAK1 and thereby avoiding side effects associated with JAK2 blockade.

Methods
The C3H/HeJ mouse model of AA was used to demonstrate therapeutic efficacy in vivo with different regimens of a selection of JAK inhibitors in regards to systemic versus local drug exposure. Human peripheral blood lymphocytes were stimulated in vitro to demonstrate translation to the human situation.

Results
We demonstrate that selective inhibition of JAK1 produces fast resolution of inflammation and complete restoration of hair growth in the C3H/HeJ mouse model of AA. Furthermore, we show that topical treatment does not restore hair growth and that treatment needs to be extended well beyond that of restored hair growth in order to reach treatment-free remission. For translatability to human disease, we show that cytokines involved in AA pathogenesis are similarly inhibited by selective JAK1 and pan-JAK inhibition in stimulated human peripheral lymphocytes and specifically in CD8+ T cells.

Conclusion
This study demonstrates that systemic exposure is required for efficacy in AA and we propose that a selective JAK1 inhibitor will offer a treatment option with a superior safety profile to pan-JAK inhibitors for these patients.
Catalytic Hydrogenation of CO2 to Formate Using Ruthenium Nanoparticles Immobilized on Supported Ionic Liquid Phases
Authors: Louis Anandaraj Savarithai Jenani , Kang Liqun , DeBeer Serena , Bordet Alexis , Leitner Walter 
Published: January 2023

AbstractRuthenium nanoparticles (NPs) immobilized on imidazolium‐based supported ionic liquid phases (Ru@SILP) act as effective heterogeneous catalysts for the hydrogenation of carbon dioxide (CO2) to formate in a mixture of water and triethylamine (NEt3). The structure of the imidazolium‐based molecular modifiers is varied systematically regarding side chain functionality (neutral, basic, and acidic) and anion to assess the influence of the IL‐type environment on the NPs synthesis and catalytic properties. The resulting Ru@SILP materials contain well‐dispersed Ru NPs with diameters in the range 0.8–2.9 nm that are found 2 to 10 times more active for CO2 hydrogenation than a reference Ru@SiO2 catalyst under identical conditions. Introduction of sulfonic acid groups in the IL modifiers results in a greatly increased turnover number (TON) and turnover frequency (TOF) at reduced metal loadings. As a result, excellent productivity with TONs up to 16 100 at an initial TOF of 1430 h−1 can be achieved with the Ru@SILP(SO3H‐OAc) catalyst. H/D exchange and other control experiments suggest an accelerated desorption of the formate species from the Ru NPs promoted by the presence of ammonium sulfonate species on Ru@SILP(SO3H‐X) materials, resulting in enhanced catalyst activity and productivity.
Carbon Dot‐Based Hydrogels: Preparations, Properties, and Applications
Authors: Wang Yijie , Lv Tingjie , Yin Keyang , Feng Ning , Sun Xiaofeng , Zhou Jin , Li Hongguang 
Published: January 2023

AbstractHydrogels have extremely high moisture content, which makes it very soft and excellently biocompatible. They have become an important soft material and have a wide range of applications in various fields such as biomedicine, bionic smart material, and electrochemistry. Carbon dot (CD)‐based hydrogels are based on carbon dots (CDs) and auxiliary substances, forming a gel material with comprehensive properties of individual components. CDs embedding in hydrogels could not only solve their aggregation‐caused quenching (ACQ) effect, but also manipulate the properties of hydrogels and even bring some novel properties, achieving a win–win situation. In this review, the preparation methods, formation mechanism, and properties of CD‐based hydrogels, and their applications in biomedicine, sensing, adsorption, energy storage, and catalysis ‐are summarized. Finally, a brief discussion on future research directions of CD‐based hydrogels will be given.
Covalent Organic Frameworks: The Rising‐Star Platforms for the Design of CO2 Separation Membranes
Authors: Chen Binghong , Xie Hongli , Shen Liguo , Xu Yanchao , Zhang Meijia , Zhou Mingzhu , Li Bisheng , Li Renjie , Lin Hongjun 
Published: January 2023

AbstractMembrane‐based carbon dioxide (CO2) capture and separation technologies have aroused great interest in industry and academia due to their great potential to combat current global warming, reduce energy consumption in chemical separation of raw materials, and achieve carbon neutrality. The emerging covalent organic frameworks (COFs) composed of organic linkers via reversible covalent bonds are a class of porous crystalline polymers with regular and extended structures. The inherent structure and customizable organic linkers give COFs high and permanent porosity, short transport channel, tunable functionality, and excellent stability, thereby enabling them rising‐star alternatives for developing advanced CO2 separation membranes. Therefore, the promising research areas ranging from development of COF membranes to their separation applications have emerged. Herein, this review first introduces the main advantages of COFs as the state‐of‐the‐art membranes in CO2 separation, including tunable pore size, modifiable surfaces property, adjustable surface charge, excellent stability. Then, the preparation approaches of COF‐based membranes are systematically summarized, including in situ growth, layer‐by‐layer stacking, blending, and interface engineering. Subsequently, the key advances of COF‐based membranes in separating various CO2 mixed gases, such as CO2/CH4, CO2/H2, CO2/N2, and CO2/He, are comprehensively discussed. Finally, the current issues and further research expectations in this field are proposed.
Multilayered Helical Spherical Triboelectric Nanogenerator with Charge Shuttling for Water Wave Energy Harvesting
Authors: Liu Shijie , Liang Xi , Chen Pengfei , Long Hairong , Jiang Tao , Wang Zhong Lin 
Published: January 2023

AbstractAs an important part of natural resources, islands support the marine economy and build a blue barrier for marine ecological civilization. However, the power supply on these islands is difficult, limiting the development of marine internet of things (IoTs). In order to break the status quo, this work applies triboelectric nanogenerators (TENGs) to island power supply and ecological monitoring. A spherical TENG with two multilayered helical units is designed to harvest water wave energy, in which the space utilization rate reaches 92.5%. Then a charge shuttling mechanism is developed to improve the electrical output. The output current and power of a single TENG without power management reach 200.3 µA and 16.2 mW respectively, corresponding to a peak power density of 23.2 W m−3. Moreover, a scheme of the power managed TENG is proposed for realizing large‐scale wave energy harvesting. The TENG is demonstrated to successfully power a water quality detector, a Bluetooth thermo‐hygrometer, and an intelligent wireless alarm system for remote environmental monitoring. This work not only proposes a new type of TENG for water wave energy harvesting with improved performance, but also provides a new strategy for intelligent ocean IoTs, which even contributes to the carbon neutralization.
Novel open‐tubular columns with highly hydrophobic stationary phase for peptide and protein separation by nano‐liquid chromatography
Authors: Beltekin Büşra , Alharthi Sarah , Aydoğan Cemil 
Published: January 2023

AbstractIn this study, novel open‐tubular nano‐columns with highly hydrophobic stationary phase were prepared via the surface graft polymerization of polyhedral oligomeric silsesquioxane‐methacrylate and 2‐vinylnaphthalene in a narrow capillary (i.e., 20 μm i.d. In this preparation, polyhedral oligomeric silsesquioxane‐methacrylate was used as a reactive and stable monomer while 2‐vinylnaphthalene imparts hydrophobic character for the stationary phase. Toluene and dodecanol were used as the porogenic solvent. Scanning electron microscope images of the columns showed that polyhedral oligomeric silsesquioxane and 2‐vinylnaphthalene were bound to the surface of the capillary. The chromatographic characterization of the open‐tubular columns was performed using homologous alkylbenzenes, including toluene, ethylbenzene, propylbenzene, and butylbenzene. The satisfactory separation of alkylbenzenes could be obtained using the final open‐tubular column with 17.1% of 2‐ vinylnaphthalene. Theoretical plates number up to 34000 plates/m in the isocratic mode for ethylbenzene were achieved. The open‐tubular column with various lengths was used for the separation of intact proteins in nano‐liquid chromatography, allowing a notable change in the retention time of each intact protein, including ribonuclease A, Lysozyme, and α‐Chymotryp A. The final open‐tubular column was then applied to the peptide separation of trypsin‐digested cytochrome C. It was shown that the open‐tubular column yielded a high‐resolution analysis of peptides, providing a high peak capacity of up to 1000.