bluuebunny/crossref_metadata_2025_split huggingface dataset:
Changes in social contact time following digital SARS-CoV-2 post-exposure notification: A retrospective case-control study at a US university
Authors: Citron Daniel , Loh Po-Shen , Yee Shannon , Bershteyn Anna 
Published: January 2024

Abstract
In the first year of the COVID-19 pandemic, digital contact tracing smartphone applications were developed for the purpose of reducing transmission by encouraging individuals to voluntarily quarantine after exposure. Privacy protocols used in many of these apps prevented longitudinal linkage of users’ contact network data, making it impossible to observe whether users reduced social contact following digital exposure notification. We used anonymous data from one particular app deployment, which used alternative privacy measures and retained longitudinal interaction data, to evaluate changes in the users’ time in proximity to other users after digital exposure notification. We analyzed a dataset of the anonymous app users in a US university community January − March 2021, before COVID-19 vaccines were widely available. Users provided consent for their anonymous data to be used for research. We conducted pre-post analysis of contact time with other users before and after using the app to self-report being a positive COVID-19 case, and before and after exposure notification by the app. We further conducted a retrospective case-control study by matching users who did and who did not receive exposure notification based on having similar contact time with other users prior to notification. In pre-post analysis, we found that users who reported being a positive case to the app reduced their total contact time with others by 29% (p = 0.002) in the 7-day period immediately after time of the report vs. the 7-day period before the time of the report. However, we observed no statistically significant change in contact time before vs. after exposure notification. We also observed no statistically significant difference in contact time compared to matched controls who received no notification. Our findings suggest that digital contact tracing app users affiliated with this US university did not reduce contact with others after receiving exposure notification. Our study provides one of the first rigorous evaluations of the effectiveness of digital exposure notifications during a time when communities were reliant on non-pharmaceutical interventions to reduce disease spread.
Melamchi Extreme Flood in Response to Climate Change in the Central Himalaya of Nepal
Authors: Baniya Binod , Tang Qiuhong , Adhikari Tirtha Raj , Zhao Gang , Haile Gebremedhin Gebremeskel , Sigdel Madan , He Li 
Published: January 2024

Abstract

Climate change induced extreme precipitation and the associated rise in temperature have led to catastrophic floods. A flood occurred in the Melamchi River on 15 June and recurred on 31st July, 2021 in Nepal. This study has investigated these extreme flood events and their close nexus with climate. The available daily and hourly precipitation, temperature, snow depth and discharge data were analyzed. The regional flow during both flood events were estimated using 1-D hydraulic HEC-HMS model and the correlation among rainfall to the runoff and temperature with snow water equivalent were examined. The snow water equivalent was converted to the stream flow of the river. Result show that the Melamchi region found an average annual rainfall of 2610mm during 1992–2021. Specifically, Shermathang and Tarkeghang has observed the highest daily average rainfall of 26.8mm and 39.2mm during the first and 61.4mm and 66.6mm during the second flood event, respectively. The discharge found at the Melamchi Bazar was at 2893m3/s and 1105 m3/s in the first and second events respectively in which Kiwil, Chanaute and Melamchi were highly contributed. The peak 10m interval flood discharge during the second event at Nakote was found 285 m3/s. The daily average discharge of Bhemathang was 357m3/s and 76m3/s on both events, respectively. The rainfall and runoff at the Nakote station are poorly correlated while snow water equivalent and temperature showed positive correlation during summer which indicates melting of the snow. In response to summer temperature increased, SWE and snow depth were decreased by melting. The snowmelt contribution to discharge was found 9.68m3/s in the Melamchi River during the Summer season. The daily average snow water equivalent of the upper basin was found 672 mm which are very potential to melt out in response to increased temperature. The finding showed that precipitation is the main climatic driver while temporary damming and increasing temperature also contributes to the timing and magnitude of the of the Melamchi flood.
Computational screening of sodium solid electrolytes through unsupervised learning
Authors: Kim Kyeongsu , Park Damdae , Chung Wonsuk , Min Byoung Koun , Lee Ung , Yu Seungho 
Published: January 2024

Abstract

All-solid-state Na-ion batteries have emerged as alternatives of all-solid-state Li-ion batteries owing to the global abundance of Na element. However, the attempts to seek a commercially viable Na-ion solid-state electrolyte (SSE) are challenging due to the relatively poor understanding of the structures which are effective for conducting Na-ion compared to Li-ion SSE. In this study, unsupervised machine learning is performed to reveal the major characteristics of possible Na-ion SSEs. The descriptor vector that consists of 180 quantitative structure-properties for 12,670 Na-ion contained SSE structures was utilized as training data for the unsupervised clustering via the hierarchical density-based spatial clustering of applications with noise. The resulted clusters identified 12 structure groups including experimentally proven Na-ion superconductor ones such as NASICONs and thiophosphates. The post hoc analysis of the clusters reveals that the structure groups with high conductivity shares the similar characteristics implying the existence of mobility ion channels and the weak interactions between Na-ions and the proximate atoms. The ab initio molecular dynamics simulation results are presented to confirm the promising Na-ion SSE group shows characteristic tendencies in Na ion diffusivity distinguishable from other groups. The Na-ion SSEs map provided in this study will serve as fundamental guidelines to develop novel Na-ion SSEs for all-solid-state Na-ion batteries
Integrative analysis of ferroptosis-related genes and immune infiltration in peri-implantitis
Authors: Wang Zhongchao , Wang Guangping , Wang Jinghan , Shi Liang , Xiao Weiwei , Ma Yuxi , Li Mingxia , Fan Liyuan 
Published: January 2024

Abstract
Background Peri-implantitis (PI） is a common complication of dental implants that can result in implant failure. The study aims to identify genes related to PI and Ferroptosis, analyze relevant molecules in related pathways, and perform immune infiltration analysis, with the goal of investigating the classification of PI and creating a diagnostic model using its common genes.
Methods The study first identified Ferroptosis-related genes (FRGs) by downloading datasets GSE33774 and GSE57631 and intersecting them with the FRGs set. Enrichment analysis, including Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA), was conducted to compare enrichment pathways in the Control team and the PI team. Weighted Gene Co-Expression Network Analysis (WGCNA) was then used to search for genes and build logistic regression models, Support Vector Machine (SVM) models, and Least Absolute Shrinkage and Selection Operator (LASSO) regression models. A diagnostic model of PI composed of three genes HLF, PLIN2, and MAP1LC3A was obtained. The study utilized periodontal samples from patients with normal periodontal health and those with peri-implantitis to identify significant differences in the gene MAP1LC3A between the normal team and the PI team, further verifying this clinical correlation of FRHGs.
Results The calibration curves of the diagnostic model showed close results, indicating better and more accurate performance. Immune cells exhibited a strong negative connection with one of the FRHGs——MAP1LC3A in both highly and low-risk categories of PI. Additionally, the FRHGs PLIN2 and HLF had strong positive and negative correlations with immune cells called monocytes, respectively. Two categories of PI, Cluster1 and Cluster2, were determined by the transcript levels of FRHGs in PI samples from the GEO Combined Datasets.
Conclusion This study identified FRGs linked to PI and established a diagnostic model (HLF, PLIN2, MAP1LC3A). The accurate model revealed immunological characteristics of PI through immune infiltration analysis. Transcription levels of FRHGs classified PI samples into Cluster1 and Cluster2, enabling personalized treatment plans. Significant transcription difference of MAP1LC3A gene between normal and PI groups suggests its potential as a diagnostic biomarker. Integrating immune infiltration analysis offers new insights for PI research, enhancing understanding of its molecular mechanisms and targeted interventions.
Profiling the gut and oral microbiota of hormone-receptor positive, HER2-negative metastatic breast cancer patients receiving pembrolizumab and eribulin
Authors: Robinson Stephen , Teng nancy , Malfettone Andrea , Dalby Matthew , Kiu Raymond , Seki David , Robinson Tim , Gion María , Bermejo Begoña , Pérez-García José , Prat Aleix , Vázquez Raúl , Llombart-Cussac Antonio , Curigliano Giuseppe , Schmid Peter , Barroso-Sousa Romualdo , Mancino Mario , Shimizu Eileen , Rodríguez-Morató Jose , Mina Leonardo , Hall Lindsay , Cortés Javier 
Published: January 2024

Abstract
Changes occurring in host-associated microbial communities (i.e., the microbiota) may modulate responses to checkpoint blockade immunotherapy. We previously showed that anti-programmed cell death protein 1, pembrolizumab, plus microtubule-targeting chemotherapy, eribulin, has encouraging antitumor activity in previously pre-treated hormone receptor (HR)-positive/human epidermal growth factor receptor 2-negative metastatic breast cancer patients in the KELLY phase II study (NCT03222856). Faecal (58) and saliva (67) samples were prospectively collected at baseline, after three treatment cycles, and end of treatment from a subset of 28 patients included in this trial. Shotgun metagenomic and 16S ribosomal ribonucleic acid gene amplicon sequencing, and bioinformatics and statistical approaches were used to characterize faecal and oral microbiota profiles. Overall, treatment did not cause significant gut or oral microbiota perturbations, indicating limited drug-related microbial toxicity. Dominant gut microbiota genera included Bacteroidesand Faecalibacterium, with a common oral microbe, Prevotella, also present. Several typical oral microbes i.e., Prevotella and Streptococcus, were observed in both saliva and faecal samples, suggesting potential translocation along the oral-gut axis. Further analysis appeared to show that clinical benefit was driven, in part, by gut-associated Bacteroides fragilis and baseline oral-associated Streptococcus with an abundance ≥40%. We also observed that cell-free supernatant from Bacteroides fragilis NCTC 9343 stimulated lactate dehydrogenase release, in a dose-dependent manner from the MCF-7 (HR-positive/HER2-negative) breast cancer cell line. These data suggest that certain gut and oral microbiota members influence efficacy of new combinatory anti-breast cancer therapies, which may in part be mediated via microbial metabolites.
Mathematical Modeling Insights into Improving CAR T cell Therapy for Solid Tumors: Antigen Heterogeneity and Bystander Effects
Authors: Sison Rockford , Kara Erdi , II Reginald McGee , jackson tracy , Jones Chartese 
Published: January 2024

Abstract

As an adoptive cellular therapy, Chimeric Antigen Receptor T-cell (CAR T-cell) therapy has shown remarkable success in hematological malignancies but only limited efficacy against solid tumors. Compared with blood cancers, solid tumors present a series of challenges that ultimately combine to neutralize the function of CAR T-cells. These challenges include, but are not limited to, antigen heterogeneity - variability in the expression of the antigen on tumor cells, as well as trafficking and infiltration into the solid tumor tissue.
A critical question for solving the heterogeneity problem is whether CAR T therapy induces bystander effects, such as antigen spreading. Antigen spreading occurs when CAR T-cells activate other endogenous antitumor CD8 T cells against antigens that were not originally targeted. In this work, we develop a mathematical model of CAR T-cell therapy for solid tumors that considers both antigen heterogeneity and bystander effects. Our model is based on in vivo treatment data that includes a mixture of target antigen-positive and target antigen-negative tumor cells. We use our model to simulate large cohorts of virtual patients to better understand the relationship involving bystander killing. We also investigate several strategies for enhancing bystander effects, thus increasing CAR T-cell therapy's overall efficacy for solid tumors.
Decoding phenological stages and polyamine polymorphism to understand the resilience of Alternanthera spp. for enhanced management strategies
Authors: Gautam Anu , Mishra Rohit , Tantwai Keerti , Dixit Anil , Pawar Deepak , Choudhary Vijay , Kharbikar Lalit Laxman 
Published: January 2024

Abstract

This research delineates the phenological growth stages of Alternanthera species, showcasing variations influenced by seasons and geographic locations. Our study tracked distinct life cycles in A. paronychioides across diverse seasons and in A. sessilis from different locations, revealing intriguing disparities in certain growth stages. Notably, the vegetative and reproductive phases, marked by BBCH code stages 0–1 and 5–9 respectively, exhibited distinct transitions in these species. Germination, leaf development, flowering, fruit development, and senescence stages unveiled stark differences across seasons in pot experiments. However, field experiments showcased uniformity in growth stages, except flowering, irrespective of varied geographical origins, emphasizing the influence of environmental factors, particularly temperature and moisture, over geographic distinctions. Further exploration into the polymorphism of polyamine (PA) metabolism genes uncovered intriguing associations with growth stages. The spermidine synthase (SPDS) gene demonstrated consistent polymorphism, implying its involvement throughout vegetative and reproductive phases. Meanwhile, arginine decarboxylase (ADC) and caffeic acid O-methyltransferase (COMT) genes displayed heightened polymorphism during reproductive stages, possibly indicating stress tolerance during these critical phases. The insights gleaned from this comprehensive analysis not only enhance our understanding of Alternanthera species' growth dynamics but also propose tailored herbicide strategies targeting specific growth stages based on PA metabolism. These findings offer sustainable avenues for weed management while providing valuable contributions to agricultural practices and environmental regulation.
The effect of TiO 2 particles on corrosion properties of hot-dip zinc coating/Carbon steel
Authors: Eynali Ebrahim , Yousefpour Mardali , Habibolahzadeh Ali 
Published: January 2024

Abstract
The titanium oxide particles additives were used to improve the corrosion resistance of the galvanized coating at 0.1, 0.2, and 0.3 wt. %. Then, the corrosion behavior, mechanical and physical properties of coating were determined using the electrochemical, hardness, bending, roughness, thickness, porosity, SEM, FESEM, and XRD. The results were revealed the reducing of current density of corrosion and increasing the polarization resistance. Furthermore. the reducing of grain size of galvanized coating was observed. As a result, the best result was achieved by adding the 0.3 wt. % of nano particles titanium oxide additive. But the addition of titanium oxide with micro size of particles has a negative effect on the corrosion resistance.
Design, synthesis, and biological and computational evaluation of novel oxindole derivatives as inhibitors of Aurora A Kinase and SARS-CoV-2 Spike/Host ACE2 Interaction
Authors: Eni Donatus B. , Cassel Joel , Namba-Nzanguim Cyril T. , Simoben Conrad V. , Tietjen Ian , Akunuri Ravikumar , Salvino Joseph M. , Ntie-Kang Fidele 
Published: January 2024

Abstract
Isatin (indol-2,3-dione), a secondary metabolite of tryptophan has been used as the core structure in the designation of several compounds that have been tested and identified as potent inhibitors of apoptosis, potential antitumor agents, anticonvulsants, and antiviral agents. In this work, several analogues of isatin hybrids have been synthesized and characterized, and their inhibitory activities established as inhibitors of both Aurora A kinase and SARS-CoV-2 spike/host ACE2 interactions. Amongst the synthesized isatin hybrids, compounds 6a – 6d, and 6m exhibited interesting Aurora A kinase inhibitory activity while compounds 6h and 6l showed interesting activity in blocking SARS-CoV-2 spike with the ACE2 protein. Compounds 6f, 6g, and 6i possessed both inhibitory activities. Pharmacophore profiling indicated that compound 6g, tightly fits Aurora A kinase and SARS-CoV-2 pharmacophore while 6d fits SARS-CoV-2 and 6l Aurora A kinase. This work is a proof of concept that most existing cancer drugs possess antiviral properties. Molecular modeling showed that the active compound for each protein adopted different binding modes, hence interacting with a different set of amino acid residues in the binding site. For the Aurora A kinase inhibitors, it was shown that the important residues for binding were Leu139, Ala213, Lys162 and Glu211. The weaker activities against spike/ACE2 could be explained by the small sizes of the ligands that fail to address the important interactions for binding to the angiotensin II receptor site.
Growth in weight during the first year of life among the tribal of Northeast India and its comparison to NCHS growth standards
Authors: Evelyn Ngaithianven 
Published: January 2024

Abstract

Objectives
To determine the longitudinal growth and weight of tribal infants in Northeast India and compare their growth with CDC/NCHS growth standards.
Materials and methods
Basic data were obtained for 219 infant (114 boys and 105 girls) and maternal pairs belonging to the Paite ethnic group of Manipur, Northeast India. The data for the present study were collected from November 2010 to February 2012 from hospitals and maternity clinics. The required formal consent was obtained from mothers who were willing to participate in the study as well as from the authorities of the hospitals and maternity clinics. The ethical issues of concern were considered, and the study was approved by the Department of Anthropology, Panjab University, Chandigarh, India. The mothers included in the study were those who achieved full- term pregnancy. Maternal weights were measured after admission to the hospital before delivery. The newborns were measured within 24 hours of birth. All the measurements were handled independently by the researcher. Thereafter, each infant was measured at monthly intervals up to the age of 12 months, with strict adherence to ± 3 days at each age, by paying house visits.
Results
The mean weights of the babies at birth were 3.14 kg (girls) and 3.24 kg (boys), and at the 12th month, the mean birth weights for girls and boys were 9.40 kg and 9.94 kg, respectively. The mean weights of boys were significantly greater than those of girls throughout the study period. The maximum increase in mean weight was observed from birth to 1 month in both sexes. A comparison of correlation values at birth and 12 months revealed a greater number of correlations between mothers’ and infants’ anthropometric measurements at birth than at 12 months of age. Compared with those of the CDC/NCHS, the weight growth of the Paite infants fared slightly below the international standards.
Conclusion
Body growth was much more rapid during the first 6 months than during the latter half of life. Furthermore, maternal weight gain in the 9th month of pregnancy had a strong and significant influence on the growth of infants throughout the first year of life. Since mother-infant pairs are extremely beautifully and naturally entwined, close monitoring of mothers during pregnancy can aid in the overall growth and development of a child throughout his or her entire life.
Impact of textile durability on the efficacy of three types of dual-active-ingredient long- lasting insecticidal nets: A secondary analysis on malaria prevalence and incidence from a cluster-randomized trial in north-west Tanzania
Authors: Lukole Eliud , Cook Jackie , Mosha Jacklin F , Mallya Elizabeth , Aziz Tatu , Kulkarni Manisha A , Matowo Nancy S , Martin Jacklin , Rowland Mark , Kleinschmidt Immo , Manjurano Alphaxard , Mosha Franklin W , Protopopoff Natacha 
Published: January 2024

Abstract
Background
The Dual-Active Ingredient long-lasting insecticidal nets (Dual-AI LLIN) have been developed to counteract the reduced efficacy of pyrethroid (PY)-only nets due to widespread pyrethroid insecticide resistance in malaria vector mosquitoes. They constitute half of the nets distributed in sub-Saharan Africa in the past two years. However, their effectiveness once they develop holes is unclear, particularly in pyrethroid-resistant settings. This study evaluates the textile integrity of three dual- AI LLINs compared to standard PY LLN, over 3 years of use in a community in Tanzania and the associated impact on malaria prevalence and incidence.
Methods
Between 2019 and 2022, we conducted a secondary analysis of data from a randomized controlled trial (RCT) in North-western Tanzania to evaluate the effectiveness of α-cypermethrin only; pyriproxyfen and α-cypermethrin (PPF-PY); chlorfenapyr and α-cypermethrin (chlorfenapyr-PY); and the synergist piperonyl butoxide and permethrin (PBO-PY) LLINs on malaria infection prevalence and case incidence. We assessed the association between the net textile condition and 1/malaria prevalence over 3 years of use, and 2/malaria case incidence in a cohort of children over 2 years of follow-up.
Results
There was no significant association between damaged (OR: 0.98, 95%CI: 0.71-1.37, p-value=0.6550) and too-torn (OR: 1.07, 95%CI: 0.77-1.47, p-value=0.6940) compared to intact nets on malaria prevalence for all net types. However, there were reduced rates of malaria case incidence in children sleeping under a net in good condition compared to extremely torn nets (incidence rate ratio (IRR) 0·76 [95%CI: 0.63-0.92], p=0.0047). Malaria incidence was also consistently lower in too-torn PBO-PY LLIN (IRR= 0.37 [95%CI: 0.19-0.72], p= 0.0033) and Chlorfenapyr-PY LLIN (IRR= 0.45 [95%CI: 0.33-0.97], p= 0.0525) compared to a intact PY-only LLIN during the first year of follow up. In year 2, the incidence was only significantly lower in intact Chlorfenapyr-PY LLIN (IRR= 0.49 [95%CI: 0.29-0.81], p= 0.0059) compared to intact PY LLIN.
Conclusion
Our study confirmed that sleeping under a Chlorfenapyr-PY LLIN or PBO-PY LLIN offered superior protection to pyrethroid-only nets even when torn. Care of the net is essential to reduce the development of holes as they impact the level of protection offered against malaria infection.
Trial registration
ClinicalTrials.gov, number (NCT03554616)