bluuebunny/crossref_metadata_2025_split huggingface dataset:
Compound-clinoform model for tide-influenced deltas in the mixed siliciclastic–carbonate Cisco Group, Upper Pennsylvanian (Virgilian), Eastern Shelf of the Permian Basin, U.S.A.
Authors: Palacios Fritz C. , Steel Ronald J. , Ambrose William A. 
Published: October 2024

ABSTRACT
Deltas in the Cisco Group contain significant volumes of potential reservoir sandstones in the Upper Pennsylvanian (Virgilian stage) mixed siliciclastic–carbonate succession in the Eastern Shelf of the Permian Basin. While early studies predominantly supported a river-dominated model for these deltas, our findings establish the presence of tide-influenced deltas characterized by the following features: i) predominant heterolithic lithology, ii) diagnostic structures such as flaser bedding, bidirectional ripple cross-lamination, or double-mud drapes, iii) an abundance of interpreted fluid muds, and iv) elongated bars on the subaqueous platform. Through analysis of 290.2 m of core, we identify six facies associations related to tide-influenced deltaic systems in highstand and falling-stage intervals of the proximal Eastern Shelf: delta plain–tidal flat, distributary channel and distributary-mouth bar (delta front) deposits on the subaerial delta; subaqueous delta topset, subaqueous delta foreset, and prodelta deposits on the subaqueous delta. Moreover, two additional facies associations, transgressive shelf deposits and subtidal shallow-water carbonates, record continuous episodic transgressions in the deltaic packages. Well-log cross sections reveal repetitive stacking of deltas, typical of icehouse systems, and sandstone mapping suggests elongated tidal bars forming the interpreted subaqueous delta platforms. These features suggest a compound-clinoform morphology of the Cisco Group deltas akin to modern tide-influenced deltas that have carbonate banks such as the Gulf of Papua. This compound-clinoform morphology has implications for the elongate geometry and isolation of sandstone reservoirs, impacting fluid migration and storage. Moreover, these insights extend beyond the Cisco Group to other Pennsylvanian and Permian levels on the Eastern Shelf, as well as to other deltas in mixed siliciclastic–carbonate systems in icehouse conditions.
Industrial Wastewater Treatment and Zero Liquid Discharge Plant for Recycling and Reuse in the Refinery and Petrochemicals Industry
Authors: Hassan Hassan EL-Nagar 
Published: October 2024

Abstract
In light of the policy of the Egyptian Petroleum Ministry, there is a need for more production of high-octane gasoline free of additives, in addition, to cover the growing local market demands. Moreover, to export the excess. Achieving the horizontal integration between the refineries and petroleum and petrochemical industries, both basic and specialized, and to increase the added value. ANRPC is one of the companies specialized in the field of refinery and petrochemical process. According to the country's directions to protect the environment and encourage the recycling of water (ZLD). This is a bold initiative undertaken by ANRPC, which will be the pioneer in installing a Zero Liquid Discharge plant. ANRPC wants to meet its water requirement by treating industrial wastewater streams from the plant. The water treatment plant is being installed at the ANRPC petroleum and petrochemical industries manufacturing site in Alexandria.
The plant is designed and installed to treat the industrial wastewater and cooling tower blow down to get cooling tower makeup water, boiler feed water and achieve Zero Liquid Discharge. From the economic feasibility study, it was found that the total direct and indirect cost paid annually for industrial wastewater treatment is 50.580.270 L.E /Year the net present value (NPV) is positive and the payback time (PBT) is 4.5 years.
Binding predictions and molecular docking as a computational approach to identify human T CD4 epitopes from Leishmania proteins
Authors: Martínez Magda Melissa Flórez , Larios Dariannis , Martínez Wilson David , Rojas Karel , Uribe Yajaira , Torres Francy Elaine 
Published: October 2024

Abstract

Background: So far there are not licensed leishmania vaccines for humans so is necessary to develop a strategy that improve treatment options or that can prevent the onset of the disease. To eliminate intracellular Leishmania amastigotes inside macrophage, a cellular immune response of CD4+ Th1 profile is essential, therefore the identification of sequences that binds strong to HLA class II pockets are good candidates to induce a protective immune response against Leishmania spp.
The aim of this study was to identify T CD4+ epitopes from immunogenic Leishmania proteins.
Methods: First, three prediction tools were used as screening comparing the 15mer sequences along the complete protein sequence against 25 HLA-DR alleles employing NH, SMT, CPA, CPB, and CPC proteins. Second, molecular docking and finally immune response predictions was run for the selection of best candidates.
Results: 6 peptides were identified as HLA-DR strong binders simultaneously from the three bioinformatic prediction tools NH69-83, SMT133-148, CPA39-54, CPA301-316, CPB42-57, and CPC37-52. Molecular docking showed that those sequences bind to HLA-DRβ*04:01 pocket however some peptides bonded in a reverse way. Finally, 4 of them induced pro-inflammatory cytokines, while the other 2 showed anti-inflammatory profile.
Conclusion: This bioinformatic strategy allowed a sequential screening from 1 857 possible peptides to 4 promising candidates, raising the probability of these sequences being natural T CD4+ Leishmania spp. epitopes in humans. SMT133-148, NH69-83, CPA39-54 and CPA301-316 seems to be a good vaccine candidate to be tested in further in vitro assays.
Seipin luminal domain is dispensable in establishing functional ER sites of lipid droplet biogenesis
Authors: Choudhary Vineet , Khatri Amit , Chaudhary Ritika , Kumari R Mankamna 
Published: October 2024

Abstract

Lipid droplet (LD) biogenesis occurs in the endoplasmic reticulum (ER), the mechanisms of which is not completely known. Seipin (Fld1 in yeast) is a crucial ER membrane protein that defines LD biogenesis sites. Here, we report truncated seipin, Fld1-∆LR in yeast, and the human equivalent hSeipin-∆LR, mutants lacking the conserved luminal domain region (LR). Remarkably, Fld1-∆LR localizes to ER subdomains independently of LDs like Fld1, and complements the lack of Fld1 function. Fld1-∆LR foci represent functional LD biogenesis sites as it recruits LD biogenesis machinery, including factors Nem1, Ldb16, Pex30, and Yft2 and become enriched in diacylglycerol upon induction of LD formation. We demonstrate that unlike Fld1, Fld1-∆LR or hSeipin-∆LR rescues the LD morphology defect and terbinafine drug sensitivity of fld1∆ ldb16∆ cells like hSeipin. Mutating proline 31 to glycine (P31G) abrogates functioning of Fld1-∆LR. Interestingly, Fld1-∆LR can oligomerize and assemble into decamer like Fld1. We find that fld1∆ cells expressing Fld1-∆LR/hSeipin-∆LR resulted in increased steady state triacylglycerol (TAG) levels, suggesting crucial regulatory role of the luminal domain in TAG partitioning into LDs. Collectively, we propose a mechanistic model in which Fld1-∆LR represent the minimal region in seipin that is necessary and sufficient to organize functional LD biogenesis sites.
Urban resilience evaluation based on the DRIVING FORCE-PRESSURE-STATE-IMPACT-RESPONSE (DPSIR) framework and BP NEURAL NETWORK: A case study of Hubei Province
Authors: Liang Yan , Cheng Yingsong , Ren Fu , Du Qingyun 
Published: October 2024

Abstract

Building resilient cities has become an emerging risk management strategy, thus it is necessary to make a scientific evaluation on urban resilience. In this study, both the Driving Force-Pressure-State-Impact-Response (DPSIR) framework and the BP neural network were innovatively adopted to construct a comprehensive urban resilience evaluation model. Prefecture-level cities in Hubei Province were examined for empirical analysis. The results showed that: (1) Urban resilience is a dynamic process of change. The resilience level of cities in Hubei Province was influenced primarily by two major factors: driving force and response. (2) The urban resilience of cities in Hubei Province had been improving steadily from 2015 to 2021, but there was a spatial negative correlation among them. Owing to uneven development within Hubei Province, it can be apparently seen that Wuhan, the provincial capital, holds a dominant position. (3) Resource and environmental pressure has become the main obstacle to the construction of resilient cities in Wuhan. The primary limiting factors for other cities are the degree of socioeconomic growth and the capacity of the government to handle affairs. This study not only enriched the theory and methods of urban resilience evaluation, but also had important reference value for the government to formulate effective urban sustainable development strategies.
An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer
Authors: Yi Nan , Mo Shuangyang , Zhang Yan , Jiang Qi , Wang Yingwei , Huang Cheng , Qin Shanyu , Jiang Haixing 
Published: October 2024

Abstract

Objectives
To retrospectively validate and develop an interpretable deep learning model and nomogram using EUS images to predict pancreatic neuroendocrine tumors (pNETs).
Methods
After pathological confirmation, a retrospective analysis of 266 patients (115 with pNETs and 151 with pancreatic cancer) was conducted. Patients were randomly divided into training and test groups (7:3 ratio). The least absolute shrinkage and selection operator algorithm reduced DL feature dimensions from pre-standardized EUS images. Nonzero features developed eight predictive DL models using different machine learning algorithms. The best model established a clinical signature for a nomogram. Grad-CAM and SHAP were used to interpret and visualize model outputs.
Results
Out of 2048 DL features, 27 with nonzero coefficients were retained. The SVM DL model achieved AUCs of 0.948 (training) and 0.795 (test). A nomogram combining DL and clinical signatures was developed, and calibration curves, DCA plots, and CICs confirmed high accuracy. Grad-CAM and SHAP enhanced model interpretability, benefiting clinical decision-making.
Conclusions
The novel interpretable DL model and nomogram, validated with EUS images and machine learning, show promise for enhancing EUS's ability to predict pNETs from pancreatic cancer, providing valuable insights for future research and application.
Hemodynamic Characteristics of Carotid Plaques as Potential Biomarkers for Predicting Anterior Circulation Acute Cerebral Infarction: A Prospective Study
Authors: Liu Yumeng , Ji Bin , Wu Bokai , Xu Yajing , Mi Rui , Wang Panying , Lv Yungang , Wu Ruodai , Peng Zhengkun , Ye Hai , Wu Songxiong , Li Guangyao , Liu Jia , Wu Guangyao 
Published: October 2024

Abstract

This study aimed to examine the hemodynamic properties of carotid artery plaques, exploring their potential as indicators for predicting anterior circulation acute cerebral infarction (ACI). A prospective analysis was performed on 113 carotid atherosclerotic plaques from 68 patients, dividing them into two groups: those with ACI (73 plaques) and those without (NACI, 40 plaques). Computational fluid dynamics (CFD) was applied to measure hemodynamic parameters, focusing on wall shear stress (WSS) in the upstream, downstream, and core regions of the plaque, as well as pressure and blood flow velocity. The results indicated that patients with ACI had significantly lower WSS in all regions compared to the NACI group (P < 0.05). The ACI group also showed higher pressures and core blood flow velocities, while downstream velocity was reduced. Among the WSS parameters, WSSdown was the most efficient predictor for ACI, with an area under the receiver operating characteristic curve (AUC) of 0.96, an F1 Score of 0.95, and a diagnostic Odds Ratio significantly higher than other parameters. The findings suggest that reduced WSS is a significant correlate of ACI and may be a reliable biomarker for its early detection.
Association of school social status with Covid pandemic related changes and post-pandemic rebounds of children’s physical fitness
Authors: Teich Paula , Arntz Fabian , Wöhrl Toni , Bähr Florian , Golle Kathleen , Kliegl Reinhold 
Published: October 2024

Abstract

Background
In a recent study, we examined Covid-19 pandemic effects on the physical fitness of German third-graders tested between 2016 and 2022. The present report includes new data from 2023 to examine whether there were post-pandemic rebounds in the negatively affected fitness components, and whether pandemic and potential rebound effects differed by school social status.
Methods
The EMOTIKON project annually tests the fitness of all third-graders in the Federal State of Brandenburg, Germany. Tests assess cardiorespiratory endurance (6-min-run), coordination (star-run), speed (20-m linear sprint), lower (powerLOW, standing long jump), and upper (powerUP, ball-push) limbs muscle power, and static balance (one-legged-stance). A total of 108,308 third-graders aged between 8 and 9.2 years from 444 schools were tested in the falls from 2016–2023. Linear mixed models, specified for a regression discontinuity design with random factors for child and school, tested pandemic effects at the first day of school in the school year 2020/21 (i.e., the critical date) and cohort trends before and after the pandemic onset.
Results
At the critical date, there were small negative pandemic effects in cardiorespiratory endurance, coordination, speed, and powerUP. Pandemic effects in speed and coordination were larger in schools with higher social status. Coordination and powerUP were characterized by a post-pandemic rebound, with slightly larger coordination rebounds for schools with higher social status. There was no evidence for rebounds of cardiorespiratory endurance and speed.
Conclusions
Absence of evidence for task-specific rebounds may indicate long-term consequences of pandemic-related movement restrictions. Especially children in schools with higher social burden may be in need of improved access to sports opportunities.
Balancing Risk and Reward: Cognitive Processes in Decision-Making Explored Through the Modular Serial-Parallel Network
Authors: Fific Mario , Kneeland Cara , Houpt Joseph 
Published: October 2024

Abstract

The Modular Serial-Parallel Network (MSPN) framework provides a robust approach to understanding the cognitive mechanisms underlying decision-making, particularly in risk-reward scenarios exemplified by the classical gamble task. By facilitating the diagnosis of processing order (serial or parallel), stopping rules (exhaustive or self-terminating), and the interdependency of mental processes, the MSPN model bridges the gap between two prominent theoretical approaches: utility-based models and heuristic-based models. Our study utilized the MSPN to explore how participants navigate decisions involving risk, revealing diverse strategies—some participants relied on serial processing, others on parallel processing, and many exhibited a dynamic mix of both depending on the trial. Notably, individual subject analysis highlighted significant variability, with some participants showing consistent preferences for one processing style, while others flexibly switched between strategies. These findings challenge the dominance of pure utility-based models and underscore the importance of considering heuristics and individual differences in decision-making. Furthermore, the MSPN’s capability to validate or falsify cognitive assumptions enhances our understanding of the risk-reward calculus in human judgment. This dual role positions the MSPN as a pivotal tool in advancing both theoretical insights and practical applications in cognitive research.
Behavioral change is linked to Acute Angle Closure occurrence in COVID-19 Co- infected Patients
Authors: Wang Xiaojie , Tian Aijun , Zhang Shaodan , Qu Bo , Zhao Lijun , Pan Xiaojing , Lu Peng , Chang Xinqi , Yang Lu , Ha Shaoping , Wang Jibing , Yang Jiangang , Wang Xiaohui , Yao Peng , Yang Yuxia , Zhou Wenzong , Wang Zhaoyi , Zhang Juntao , Lin Chuanqi , Li Junhua , Jiang Yanhua , Cheng Zhongxia , Ding Zhixiang , Xiong Siying , Ye Cong , Zhao Houyu , Congdon Nathan , Liang Yuanbo 
Published: October 2024

Abstract

Objectives
To analyze the influence of behavioral factors associated with COVID-19 infection on the occurrence of acute angle closure (AAC).
Methods
A multicenter hospital-based study was conducted at 23 ophthalmic centers in 17 provincial-level regions across China to recruit patients with confirmed AAC during the post-lockdown time of COVID-19 (P-TOC) from Dec 7, 2022, to Jan 17, 2023, and three lockdown time of COVID-19 (TOC) periods, which included the TOC-2022 (Sep 7, 2022 - Dec 6, 2022), TOC-2021(Sep 7, 2021 - Jan 6, 2022) and TOC-2020 (Sep 7, 2020 - Jan 6, 2021). Patient information including demographic characteristics, a questionnaire regarding behavioral changes during the AAC period, COVID-19 history, and eye examination results were collected.
Results
The study involved 3216 AAC cases, with 76.2% being female and 78.9% aged over 60 years. AAC occurrences during P-TOC was nearly tripled compared to the corresponding months in TOC-2021 and TOC-2020. Patients with AAC comorbidity and COVID-19 exhibited significantly higher water intake (37.3% vs 2.2%, p < 0.001) and poorer sleep quality (49.16% vs 4.07%, p < 0.001) than those without COVID-19 comorbidity, while around 58.4% of patients with AAC and COVID-19 received antipyretic analgesic drugs for symptom management purposes. The COVID-19 group also demonstrated elevated intraocular pressure as well as worse uncorrected distance visual acuity, when compared to non-COVID-19 patients.
Conclusions
The relationship between the occurrence of AAC and behavioral factors associated with COVID-19 suggests that managing these patients should consider related behavioral change.
Functional connectivity of the sensory system and executive functions during a story listening task is related to parent-child interaction during joint reading: a functional MRI-diffusion map study
Authors: Kraus Tzipi Horowitz , Jacobson Adi , Hutton John , Horowitz-Kraus Tzipi 
Published: October 2024

Abstract

The quality of parent-child interaction during shared reading may influence the activation and synchronization of reading-related brain networks. But could differences in brain activity while a child is listening to stories predict parent-child interaction level during reading? For this study, functional MRI including a stories listening task was performed with 22 4-year-old girls and behavioral measurement scores reflecting parent-child interaction as well as maternal depression levels affecting these interactions were collected using video observation data of a shared reading task of these children with their mothers. The study aim was to apply the fMRI stories-listening data to create a diffusion maps algorithm and then attempt to classify the level of parent-child interaction during a shared reading task outside of the scanner. The diffusion maps algorithm successfully clustered children in this manner, with higher parent-child engagement scores related to diffusion patterns in regions of the brain known to support reading. This study demonstrates that applying this diffusion maps algorithm to brain functional connectivity data can predict parent-child interaction during shared book reading. This algorithmic approach is a potential, novel, data-driven means to quantify parent-child interaction in different contexts (e.g., reading, play) and populations.
Comparative study: Trimetazidine vs Olanzapine on cognitive dysfunction and behavioral changes in Ketamine-induced psychosis model in mice
Authors: Magdy Yosra , Kamar sherif , Fansa Hoda , Khedr Sara , Sedky Amina 
Published: October 2024

Abstract

Mitochondrial dysfunction and oxidative stress may contribute to schizophrenia. Negative symptoms and cognitive dysfunction in individuals with schizophrenia are resistant to antipsychotic medications, but physical exercise is an effective treatment. Beneficial effects of exercise involve the release of irisin from skeletal muscle by activating mitochondrial peroxisome proliferator-activated receptor gamma co-activator 1-α (PGC1-α). "Irisin enhances cognitive function by boosting brain-derived neurotrophic factor (BDNF) and through its antioxidant properties." Schizophrenia patients struggle to engage in physical activity due to dysfunction in their skeletal muscle mitochondria. Trimetazidine improves mitochondrial function and increase irisin re-lease, offering an alternative to exercise for schizophrenics with cognitive dysfunction. The study compared trimetazidine to olanzapine in treating behavioral changes and cognitive dysfunction in mice with ketamine-induced psychosis. Researchers investigated the effects of trimetazidine on muscle power, mitochondrial function, plasma irisin level, and their correlation with hippocampal BDNF and MDA. Ketamine use in mice led to cognitive dysfunction, reduced BDNF, elevated MDA, decreased muscle grip, and irisin. Trimetazidine improved irisin and improved BDNF, MDA levels, and cognitive function. Trimetazidine works like exercise, leading to an increase in skeletal muscle mitochondrial PGC1α and plasma irisin. Olanzapine induced less improvement in cognitive function with a reduction in PGC1α and muscle grip.
The Impact of Novice Teachers' Professional Identity on Seventh-Grade Students' Psychological Resilience: A Multi-Level Study Examining the Mediator of Teacher-Student Relationships and the Moderator of Life Satisfaction
Authors: Hu Pan-Pan , Chen Xiu-Mei , Cao Cui-Hong , Weerasawainon Aeksing , Wei Xiaoxia , Chen I-Hua 
Published: October 2024

Abstract

Background
Teachers' professional identity plays a critical role in shaping educational environments, particularly through its influence on teacher-student relationships and students' psychological resilience. Although the connection between professional identity and these factors is established, the indirect effect of professional identity on student resilience—mediated by teacher-student relationships and moderated by teachers' life satisfaction—has not been fully explored. This study investigates the impact of novice teachers' professional identity on seventh-grade students' psychological resilience, focusing on the mediating role of teacher-student relationships and the moderating effect of teachers' life satisfaction.
Methods
Data were collected from 69 novice teachers and 2,147 students across 10 middle schools in China. The study employed Hierarchical Linear Modeling (HLM) to analyze the direct and indirect effects of teachers' professional identity on students' psychological resilience, accounting for the nested data structure.
Results
The analysis revealed that a strong professional identity among novice teachers significantly enhances students' psychological resilience, primarily through the improvement of teacher-student relationships. However, the expected moderating effect of teachers' life satisfaction was not supported, possibly due to the uniformly high levels of life satisfaction among the participants.
Conclusion
These results underscore the importance of fostering a strong professional identity in novice teachers to cultivate positive teacher-student relationships, which are crucial for enhancing students' psychological resilience. The study offers valuable insights for educational policies and interventions aimed at supporting teacher development and improving student outcomes during the critical transition to middle school.