bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interface engineering of antimony selenide solar cells: a review on the optimization of energy band alignments
Authors: Wang Yazi , Ji Seunghwan , Shin Byungha 
Published: July 2022

Abstract
Earth-abundant and environmentally benign antimony selenide (Sb2Se3) has emerged as a promising light-harvesting absorber for thin-film photovoltaic (PV) devices due to its high absorption coefficient, nearly ideal bandgap for PV applications, excellent long-term stability, and intrinsically benign boundaries if properly aligned on the substrate. The record power conversion efficiency of Sb2Se3 solar cells has currently reached 9.2%, however, it is far lower than the champion efficiencies of other chalcogenide thin-film solar cells such as CdTe (22.1%) and Cu(In,Ga)Se2 (23.35%). The inferior device performance of Sb2Se3 thin-film solar cells mainly results from a large open-circuit voltage deficit, which is strongly related to the interface recombination loss. Accordingly, constructing proper band alignments between Sb2Se3 and neighboring charge extraction layers through interface engineering to reduce carrier recombination losses is one of the key strategies to achieving high-efficiency Sb2Se3 solar cells. In this review, the fundamental properties of Sb2Se3 thin films, and the recent progress made in Sb2Se3 solar cells are outlined, with a special emphasis on the optimization of energy band alignments through the applications of electron-transporting layers and hole-transporting layers. Furthermore, the potential research directions to overcome the bottlenecks of Sb2Se3 thin-film solar cell performance are also presented.
Synthesis of porous cobalt oxide nanosheets: highly sensitive sensors for the detection of hydrazine
Authors: Kumar Raj , Parkash Anand , Almani Sikander , Baloch Muhammad Yousuf Jat , Khan Rizwan , Soomro Suhail Ahmed 
Published: July 2022

Abstract
A highly sensitive, reliable, and reproducible sensor for detecting hydrazine was fabricated using a porous cobalt oxide (Co2O3) nanosheets electrode. The Caffeine assisted Co2O3 nanosheets were prepared by a low-temperature aqueous chemical growth method. The morphology, phase purity, and porosity of Co2O3 nanosheets were examined via SEM, XRD, and BET techniques. SEM results reveal the hexagonal sheet-like morphology of synthesized Co2O3 nanosheets, while the XRD technique illustrates high phase purity. Furthermore, the BET technique demonstrated the increased surface area exhibited by the newly synthesized Co2O3 nanomaterial. The hydrazine sensor based on the Co3O4 nanosheet electrode demonstrated relatively high sensitivity (1.632 μA cm−2
μM−1) and a rather low detection limit (0.05 μM) due to the fast electro-oxidation of hydrazine catalyzed by Co3O4 nanosheets. The unique porous structure of Co3O4 nanosheets offers a promising probe candidate for efficient electrochemical sensors of hydrazine.
Analysis of astragaloside IV metabolism to cycloastragenol in human gut microorganism, bifidobacteria, and lactic acid bacteria
Authors: Takeuchi Daniel M , Kishino Shigenobu , Ozeki Yuuki , Fukami Hiroyuki , Ogawa Jun 
Published: July 2022

ABSTRACT
This study investigated different gut bacteria in an anaerobic environment to identify specific candidates that could transform astragaloside IV (AIV) to cycloastragenol (CA). Two representative gut microbes, lactic acid bacteria (LAB) and bifidobacteria, could metabolize AIV to CA. Multiple screenings showed two metabolic pathways to metabolize AIV in two groups of bacteria. LAB metabolized AIV initiated by removing the C-6 glucose, whereas bifidobacteria indicated the initial removal of C-3 xylose. The final products differed between the two groups as bifidobacteria showed the production of CA, whereas LAB demonstrated preferential production of 20R, 24S-epoxy-6α, -16β, -25-trihydroxy-9, -19-cycloartan-3-one (CA-2H).
ViReMaShiny: an interactive application for analysis of viral recombination data
Authors: Yeung Jason , Routh Andrew L 
Published: July 2022

AbstractMotivationRecombination is an essential driver of virus evolution and adaption, giving rise to new chimeric viruses, structural variants, sub-genomic RNAs and defective RNAs. Next-generation sequencing (NGS) of virus samples, either from experimental or clinical settings, has revealed a complex distribution of recombination events that contributes to intrahost diversity. We and others have previously developed alignment tools to discover and map these diverse recombination events in NGS data. However, there is no standard for data visualization to contextualize events of interest, and downstream analysis often requires bespoke coding.ResultsWe present ViReMaShiny, a web-based application built using the R Shiny framework to allow interactive exploration and point-and-click visualization of viral recombination data provided in BED format generated by computational pipelines such as ViReMa (Viral-Recombination-Mapper).Availability and implementationThe application is hosted at https://routhlab.shinyapps.io/ViReMaShiny/ with associated documentation at https://jayeung12.github.io/. Code is available at https://github.com/routhlab/ViReMaShiny.Supplementary informationSupplementary data are available at Bioinformatics online.
Multidrug representation learning based on pretraining model and molecular graph for drug interaction and combination prediction
Authors: Ren Shujie , Yu Liang , Gao Lin 
Published: July 2022

AbstractMotivationApproaches for the diagnosis and treatment of diseases often adopt the multidrug therapy method because it can increase the efficacy or reduce the toxic side effects of drugs. Using different drugs simultaneously may trigger unexpected pharmacological effects. Therefore, efficient identification of drug interactions is essential for the treatment of complex diseases. Currently proposed calculation methods are often limited by the collection of redundant drug features, a small amount of labeled data and low model generalization capabilities. Meanwhile, there is also a lack of unique methods for multidrug representation learning, which makes it more difficult to take full advantage of the originally scarce data.ResultsInspired by graph models and pretraining models, we integrated a large amount of unlabeled drug molecular graph information and target information, then designed a pretraining framework, MGP-DR (Molecular Graph Pretraining for Drug Representation), specifically for drug pair representation learning. The model uses self-supervised learning strategies to mine the contextual information within and between drug molecules to predict drug–drug interactions and drug combinations. The results achieved promising performance across multiple metrics compared with other state-of-the-art methods. Our MGP-DR model can be used to provide a reliable candidate set for the combined use of multiple drugs.Availability and implementationCode of the model, datasets and results can be downloaded from GitHub (https://github.com/LiangYu-Xidian/MGP-DR).Supplementary informationSupplementary data are available at Bioinformatics online.
Digital Relationality, Rights, Resilience: Conceptualising a Digital Social Ecology for Children’s Birth Family Relationships When in Care or Adopted
Authors: MacDonald Mandi , Wright Amy Conley , Taylor-Beswick Amanda , Gillespie Kathryn , Collings Susan 
Published: July 2022

AbstractThe use of digital communication technology by children residing in out-of-home care or adopted from foster care has mainly been approached hesitantly and from a risk paradigm. The Covid-19 pandemic catalysed many digital and social work intersections, including practices used for birth family contact where in-person visits were supplemented or replaced with ‘virtual’ contact via digital devices. Whilst technology-mediated contact is characterised as ‘virtual’, the relationships it facilitates and emotions it generates are very real within children’s social ecology. Digital ubiquity in social life and the rapid pace of technological change presents significant ethical and practical tensions. To help social workers navigate this complexity of ‘contact-in-reality’ and facilitate safe, ethical use of digital communication technology for birth family contact, we connect an understanding of the dynamics of birth family contact with literature on children’s use of digital technology and ecological concepts of person-in-environment to offer a digital social ecology heuristic for social work practice. Three key aspects cut across all systems and levels, referred to here as the three Digital R’s: digital relationality; digital rights; and digital resilience. Future research is needed to understand how these dynamics play out.
Comparison of Reversed-Phase and Mixed-Mode SPE for Enrichment and Clean-Up of Surrogate Peptides in CysC Quantified by LC–MS/MS
Authors: Tang Zijie , Ji Huoyan 
Published: July 2022

AbstractAccurate quantification of low-abundance protein Cystatin-C (CysC) in serum by liquid chromatography tandem mass spectrometry (LC–MS/MS) method is very difficult. After sample processing and tryptic digestion, the matrix of CysC surrogate peptides is very complexity, and the concentrations of them are very low, so solid-phase extraction (SPE) must be used to make the surrogate peptides purification and enrichment. In this paper, we used C18 reversed-phase SPE (RP-SPE) and mixed-mode SPE as SPE cartridges. We quantitatively assessed and compared the CysC surrogate peptides recoveries and matrix effects by different SPE cartridges. The sequence of CysC surrogate peptide is ALDFAVGEYNK, and sequence-specific subions y6 (VGEYNK+, m/z 709.3) and y9 (DFAVGEYNK+, m/z 1042.4) were selected for quantification of CysC, because the two fragment ions showed the highest sensitivity. In neat solution, the highest recoveries were similarly for y9 and y6 when used RP-SPE and mixed-mode SPE. However, in serum matrix, the recoveries were significantly higher when used mixed-mode SPE than RP-SPE, which was caused by matrix effects. Results showed that both RP-SPE and mixed-mode SPE were resulted in ion enhancement for CysC surrogate peptides quantification by LC–MS/MS, but mixed-mode SPE reduced more matrix effects. So mixed-mode SPE was more suitable SPE type for purification and enrichment of CysC surrogate peptides.
Metabolic-Related Outcomes After Switching From Tenofovir Disoproxil Fumarate to Tenofovir Alafenamide in Adults With Human Immunodeficiency Virus (HIV): A Multicenter Prospective Cohort Study
Authors: Martínez-Sanz Javier , Serrano-Villar Sergio , Muriel Alfonso , García Fraile Lucio J , Orviz Eva , Mena de Cea Álvaro , Campins Antoni A , Moreno Santiago 
Published: July 2022

AbstractBackgroundTenofovir alafenamide (TAF) has replaced tenofovir disoproxil fumarate (TDF) in many clinical settings. However, concerns remain about potential metabolic complications of TAF. We aimed to evaluate changes in weight, laboratory markers, and metabolic-related clinical events after replacing TDF with TAF.MethodsMulticenter prospective cohort study in the Spanish CoRIS cohort. We included virologically suppressed adults with human immunodeficiency virus (HIV) receiving TDF for more than 12 months who either switched to TAF or maintained TDF, with no changes in the core agent. Participants were matched by propensity score. We fitted generalized equation models to assess changes in weight, blood lipids, and hepatic steatosis index, and to compare the incidence of diabetes, hypertension, and lipid-lowering drug use after 144 weeks.ResultsIn total, 1446 participants were matched in each group. Median age was 38 years, 85% were male, mean weight at baseline was 73 kg. Participants who switched to TAF had a mean weight increase of +0.5 kg at 144 weeks over those who maintained TDF, with no difference in the occurrence of overweight or obesity. Individuals who switched to TAF had a significant increase in total cholesterol (+7.9 mg/dL) and triglycerides (+11.2 mg/dL), with no differences in the total cholesterol-high-density lipoprotein (HDL) ratio. However, no increased incidence of diabetes, hypertension, or lipid-lowering drug use was observed after the follow-up period.ConclusionsSwitching from TDF to TAF is associated with modest weight gain and increases in total cholesterol and triglycerides, without an impact on the incidence of obesity or metabolic-related clinical events, in this Spanish cohort with a majority White male population.
Diabetes Duration and Subclinical Myocardial Injury: The Atherosclerosis Risk in Communities Study (ARIC)
Authors: Hamo Carine E , Echouffo-Tcheugui Justin B , Zhang Sui , Florido Roberta , Pankow James S , Michos Erin D , Goldberg Ronald , Nambi Vijay , Gerstenblith Gary , Post Wendy S , Blumenthal Roger S , Ballantyne Christie , Selvin Elizabeth , Coresh Josef , Ndumele Chiadi E 
Published: July 2022

Abstract

Background
Diabetes exerts adverse effects on the heart, and a longer diabetes duration is associated with greater heart failure risk. We studied diabetes duration and subclinical myocardial injury, as reflected by high-sensitivity cardiac troponin (hs-cTnT).

Methods
We analyzed 9052 participants without heart failure or coronary heart disease (mean age 63 years, 58% female, 21% Black, 15% with diabetes) at The Atherosclerosis Risk in Communities Study (ARIC) Visit 4 (1996 to 1998). Diabetes duration was calculated based on diabetes status at Visits 1 (1987 to 1989) through 4, or using self-reported age of diabetes diagnosis prior to Visit 1. We used multinomial logistic regression to determine the association of diabetes duration with increased (≥14 ng/L) or detectable (≥6 ng/L) Visit 4 hs-cTnT, relative to undetectable hs-cTnT, adjusted for demographics and cardiovascular risk factors.

Results
The prevalence of increased Visit 4 hs-cTnT was higher in persons with longer diabetes duration, from 12% for those with diabetes 0 to &lt;5 years up to 31% among those with diabetes for ≥15 years (P for trend &lt;0.0001). New onset diabetes at Visit 4 was associated with 1.92× higher relative risk (95% CI, 1.27–2.91) of increased hs-cTnT than no diabetes. Longer diabetes duration was associated with greater myocardial injury, with duration ≥15 years associated with 9.29× higher risk (95% CI, 5.65–15.29) for increased hs-cTnT and 2.07× (95% CI, 1.24–3.16) for detectable hs-cTnT, compared to no diabetes.

Conclusions
Longer diabetes duration is strongly associated with subclinical myocardial injury. Interventional studies are needed to assess whether the prevention and delay of diabetes onset can mitigate early myocardial damage.
SPDPOA: Student Psychology Dragonfly Political Optimizer Algorithm-Based Soil Moisture and Heat-Level Prediction for Plant Health Monitoring in Internet of Things
Authors: Muppidi Satish , Bhamidipati Kishore , Arumugam Sajeev Ram 
Published: July 2022

Abstract
This article devised an effective Student Psychology-based Dragonfly Political Optimizer (SPDPOA) for predicting heat level and soil moisture to monitor plant health in the Internet of Things (IoT). The developed SPDPOA is modeled by integrating the Student Psychology-based Optimization (SPBO) algorithm, Dragonfly Algorithm (DA) and Political optimizer (PO), respectively. The prediction process is done in the base station (BS), which gathers the IoT nodes’ information through optimal Cluster Head (CH) using Deep Recurrent Neural Network (Deep RNN). Moreover, the CH selection and routing process are established using a developed SPDPOA scheme. The data transformation and feature selection processes are done based on Box-Cox transformation and wrapper model, correspondingly, which helps in the selection of best features. Moreover, the developed SPDPOA scheme attained better performance in Packet Delivery Ratio (PDR), energy and testing accuracy of 0.7232, 0.6342 J and 0.9372, respectively.
On The Maximum Cliques Of The Subgraphs Induced By Binary Constant Weight Codes In Powers Of Hypercubes
Authors: Shi Juanjuan , Kou Yongfang , Hu Yulan , Yang Weihua 
Published: July 2022

Abstract
The problem of finding the maximum independent sets (or maximum cliques) of a given graph is fundamental in graph theory and is also one of the most important in terms of the application of graph theory. Let $A(n,d,w)$ be the size of the maximum independent set of $Q_{n}^{(d-1,w)}$, which is the induced subgraph of points of weight $w$ of the $d-1^{th}$-power of $n$-dimensional hypercubes. In order to further understand and study the dependent set of $Q_{n}^{(d-1,w)}$, we explore its clique number and the structure of the maximum clique. This paper obtains the clique number and the structure of the maximum clique of $Q_{n}^{(d-1,w)}$ for $5\leq d\leq 6$. Moreover, the characterizations for $A(n,d,w)=2$ and $3$ are also given.
An Improved Lattice-Based Ring Signature With Unclaimable Anonymity in the Standard Model
Authors: Hu Mingxing , Zhang Weijiong , Liu Zhen 
Published: July 2022

Abstract
Ring signatures enable a user to sign messages on behalf of an arbitrary set of users, called the ring, without revealing exactly which member of that ring actually generated the signature. The signer-anonymity property makes ring signatures have been an active research topic. Recently, Park and Sealfon (PS; CRYPTO’19) presented an important anonymity notion named signer-unclaimability and constructed a lattice-based ring signature scheme with unclaimable anonymity in the standard model; however, it did not consider the unforgeable w.r.t. adversarially chosen-key attack (the public key ring of a signature may contain keys created by an adversary) and the signature size grows quadratically in the size of ring and message. In this work, we propose a new lattice-based ring signature scheme with unclaimable anonymity in the standard model. In particular, our work improves the security and efficiency of PS work, which is unforgeable w.r.t. adversarially chosen-key attack, and the ring signature size grows linearly in the ring size.
Quantifying the impact of gut microbiota on inflammation and hypertensive organ damage
Authors: Avery Ellen G , Bartolomaeus Hendrik , Rauch Ariana , Chen Chia-Yu , N’Diaye Gabriele , Löber Ulrike , Bartolomaeus Theda U P , Fritsche-Guenther Raphaela , Rodrigues André F , Yarritu Alex , Zhong Cheng , Fei Lingyan , Tsvetkov Dmitry , Todiras Mihail , Park Joon-Keun , Markó Lajos , Maifeld András , Patzak Andreas , Bader Michael , Kempa Stefan , Kirwan Jennifer A , Forslund Sofia K , Müller Dominik N , Wilck Nicola 
Published: July 2022

Abstract

Aims
Hypertension (HTN) can lead to heart and kidney damage. The gut microbiota has been linked to HTN, although it is difficult to estimate its significance due to the variety of other features known to influence HTN. In the present study, we used germ-free (GF) and colonized (COL) littermate mice to quantify the impact of microbial colonization on organ damage in HTN.

Methods and results
4-week-old male GF C57BL/6J littermates were randomized to remain GF or receive microbial colonization. HTN was induced by subcutaneous infusion with angiotensin (Ang) II (1.44 mg/kg/day) and 1% NaCl in the drinking water; sham-treated mice served as control. Renal damage was exacerbated in GF mice, whereas cardiac damage was more comparable between COL and GF, suggesting that the kidney is more sensitive to microbial influence. Multivariate analysis revealed a larger effect of HTN in GF mice. Serum metabolomics demonstrated that the colonization status influences circulating metabolites relevant to HTN. Importantly, GF mice were deficient in anti-inflammatory faecal short-chain fatty acids (SCFA). Flow cytometry showed that the microbiome has an impact on the induction of anti-hypertensive myeloid-derived suppressor cells and pro-inflammatory Th17 cells in HTN. In vitro inducibility of Th17 cells was significantly higher for cells isolated from GF than conventionally raised mice.

Conclusion
The microbial colonization status of mice had potent effects on their phenotypic response to a hypertensive stimulus, and the kidney is a highly microbiota-susceptible target organ in HTN. The magnitude of the pathogenic response in GF mice underscores the role of the microbiome in mediating inflammation in HTN.
Early versus late acute coronary syndrome risk patterns of coronary atherosclerotic plaque
Authors: van den Hoogen Inge J , Stuijfzand Wijnand J , Gianni Umberto , van Rosendael Alexander R , Bax A Maxim , Lu Yao , Tantawy Sara W , Hollenberg Emma J , Andreini Daniele , Al-Mallah Mouaz H , Cademartiri Filippo , Chinnaiyan Kavitha , Chow Benjamin J W , Conte Edoardo , Cury Ricardo C , Feuchtner Gudrun , Gonçalves Pedro de Araújo , Hadamitzky Martin , Kim Yong Jin , Leipsic Jonathon , Maffei Erica , Marques Hugo , Plank Fabian , Pontone Gianluca , Villines Todd C , Lee Sang Eun , Al’Aref Subhi J , Baskaran Lohendran , Danad Ibrahim , Gransar Heidi , Budoff Matthew J , Samady Habib , Virmani Renu , Berman Daniel S , Chang Hyuk Jae , Narula Jagat , Min James K , Bax Jeroen J , Lin Fay Y , Shaw Leslee J ,   ICONIC Investigators
Published: July 2022

Abstract

Aims
The temporal instability of coronary atherosclerotic plaque preceding an incident acute coronary syndrome (ACS) is not well defined. We sought to examine differences in the volume and composition of coronary atherosclerosis between patients experiencing an early (≤90 days) versus late ACS (&gt;90 days) after baseline coronary computed tomography angiography (CCTA).

Methods and results
From a multicenter study, we enrolled patients who underwent a clinically indicated baseline CCTA and experienced ACS during follow-up. Separate core laboratories performed blinded adjudication of ACS events and quantification of CCTA including compositional plaque volumes by Hounsfield units (HU): calcified plaque &gt;350 HU, fibrous plaque 131–350 HU, fibrofatty plaque 31–130 HU and necrotic core &lt;30 HU. In 234 patients (mean age 62 ± 12 years, 36% women), early and late ACS occurred in 129 and 105 patients after a mean of 395 ± 622 days, respectively. Patients with early ACS had a greater maximal diameter stenosis and maximal cross-sectional plaque burden as compared to patients with late ACS (P &lt; 0.05). Larger total, fibrous, fibrofatty, and necrotic core volumes were observed in the early ACS group (P &lt; 0.05). Findings for total, fibrous, fibrofatty, and necrotic core volumes were reproduced in an external validation cohort (P &lt; 0.05).

Conclusions
Volumetric differences in composition of coronary atherosclerosis exist between ACS patients according to their timing antecedent to the acute event. These data support that a large burden of non-calcified plaque on CCTA is strongly associated with near-term plaque instability and ACS risk.