bluuebunny/crossref_metadata_2025_split huggingface dataset:
Motor Activity-Induced White Matter Repair in White Matter Stroke
Authors: Marin Miguel A. , Gleichman Amy J. , Wei Xiaofei , Whittaker Daniel S. , Mody Istvan , Colwell Christopher S. , Carmichael S. Thomas 
Published: October 2023

Subcortical white matter stroke (WMS) is a progressive disorder which is demarcated by the formation of small ischemic lesions along white matter tracts in the CNS. As lesions accumulate, patients begin to experience severe motor and cognitive decline. Despite its high rate of incidence in the human population, our understanding of the cause and outcome of WMS is extremely limited. As such, viable therapies for WMS remain to be seen. This study characterizes myelin recovery following stroke and motor learning-based rehabilitation in a mouse model of subcortical WMS. Following WMS, a transient increase in differentiating oligodendrocytes occurs within the peri-infarct in young male adult mice, which is completely abolished in male aged mice. Compound action potential recording demonstrates a decrease in conduction velocity of myelinated axons at the peri-infarct. Animals were then tested on one of three distinct motor learning-based rehabilitation strategies (skilled reach, restricted access to a complex running wheel, and unrestricted access to a complex running wheel) for their capacity to induce repair. These studies determined that unrestricted access to a complex running wheel alone increases the density of differentiating oligodendrocytes in infarcted white matter in young adult male mice, which is abolished in aged male mice. Unrestricted access to a complex running wheel was also able to enhance conduction velocity of myelinated axons at the peri-infarct to a speed comparable to naive controls suggesting functional recovery. However, there was no evidence of motor rehabilitation-induced remyelination or myelin protection.SIGNIFICANCE STATEMENTWhite matter stroke is a common disease with no medical therapy. A form of motor rehabilitation improves some aspects of white matter repair and recovery.
The Role of Protocadherin γ in Adult Sensory Neurons and Skin Reinnervation
Authors: Long Rebecca M. , Ong Honyi , Wang Wendy Xueyi , Komirishetty Prashanth , Areti Aparna , Chandrasekhar Ambika , Larouche Matt , Lefebvre Julie L. , Zochodne Douglas W. 
Published: October 2023

The clustered protocadherins (cPcdhs) play a critical role in the patterning of several CNS axon and dendritic arbors, through regulation of homophilic self and neighboring interactions. While not explored, primary peripheral sensory afferents that innervate the epidermis may require similar constraints to convey spatial signals with appropriate fidelity. Here, we show that members of the γ-Pcdh (Pcdhγ) family are expressed in both adult sensory neuron axons and in neighboring keratinocytes that have close interactions during skin reinnervation. Adult mice of both sexes were studied. Pcdhγ knock-down either through small interfering RNA (siRNA) transduction or AAV-Cre recombinase transfection of adult mouse primary sensory neurons from floxed Pcdhγ mice was associated with a remarkable rise in neurite outgrowth and branching. Rises in outgrowth were abrogated by Rac1 inhibition. Moreover, AAV-Cre knock-down in Pcdhγ floxed neurons generated a rise in neurite self-intersections, and a robust rise in neighbor intersections or tiling, suggesting a role in sensory axon repulsion. Interestingly, preconditioned (3-d axotomy) neurons with enhanced growth had temporary declines in Pcdhγ and lessened outgrowth from Pcdhγ siRNA.In vivo, mice with local hindpaw skin Pcdhγ knock-down by siRNA had accelerated reinnervation by new epidermal axons with greater terminal branching and reduced intra-axonal spacing. Pcdhγ knock-down also had reciprocal impacts on keratinocyte density and nuclear size. Taken together, this work provides evidence for a role of Pcdhγ in attenuating outgrowth of sensory axons and their interactions, with implications in how new reinnervating axons following injury fare amid skin keratinocytes that also express Pcdhγ.SIGNIFICANCE STATEMENTThe molecular mechanisms and potential constraints that govern skin reinnervation and patterning by sensory axons are largely unexplored. Here, we show that γ-protocadherins (Pcdhγ) may help to dictate interaction not only among axons but also between axons and keratinocytes as the former re-enter the skin during reinnervation. Pcdhγ neuronal knock-down enhances outgrowth in peripheral sensory neurons, involving the growth cone protein Rac1 whereas skin Pcdhγ knock-down generates rises in terminal epidermal axon growth and branching during re-innervation. Manipulation of sensory axon regrowth within the epidermis offers an opportunity to influence regenerative outcomes following nerve injury.
Prevalence of HPV/p16+ infection among oropharyngeal squamous cell carcinoma patients in a tertiary care centre in Southern India
Authors: Jawahar V. , Banerjee S. , Kini J. , Sreeram S. , Athiyamaan M. S. , Sunny J. , Krishna A. , Srinivas C. , Lobo D. , Mokkapatti B. S. 
Published: October 2023

Introduction. Oropharyngeal squamous cell carcinomas are often found to be associated with human papilloma virus (HPV) infection. The prevalence of HPV infection among oropharyngeal squamous cell carcinomas patients in India is comparatively lower to that of the same worldwide. Aim. To find out the prevalence of HPV infection among oropharyngeal squamous cell carcinomas patients who presented in our hospital.Settings and design. Retrospective cross-sectional study.Materials and methods. Tissue block of 60 patients with biopsy-proven oropharyngeal squamous cell carcinomas were subjected to immunohistochemistry for evaluating p16 expression. The p16 expression pattern was correlated with the demographic details. Data was entered in Microsoft Excel and Statistical Analysis was done with the help of SPSS version 22 (IBM Corp. Released, 2013. IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp.).Results. Prevalence of HPV infection in our study was found to be 11.7 %. 85.8 % of all p16-positive patients had moderate-well differentiated disease. 6 out of 7 p16-positive patients had higher T stage (T3–4). All the patients who were p16+ were found to have a higher Nodal stage (N2–3). 100 % of all p16+ patients were found to have stage IV disease.Conclusion. Prevalence of HPV infection was found to be similar to that of previous studies conducted in India. These patients also presented with advanced nodal disease at presentation and thereby, an advanced overall stage.
Optimal design of stand-alone photovoltaic system based on battery storage system: A case study of Borj Cedria in Tunisia
Authors: Slouma Safa , Boulaares Wael , Maity Somnath , Jemni Abdelmajid , Alimi Souheil El 
Published: October 2023

This work deals with the optimal design of a stand-alone photovoltaic system (SAPS) based on the battery storage system and assesses its technical performance by using PVsyst simulation. In fact, this study is carried out to determine the optimal orientation and tilt angle of a solar panel for collecting maximum solar radiation. Borj Cedria is taken as a case study site to perform the optimum tilt angle through PVsyst. PV-GIS is utilized to estimate global solar irradiance. The proposed system can produce 1314 kWh of energy for the load, which is considered technically suitable for this area thanks to a performance ratio of 58.3% and high specific efficiency generation, besides the solar fraction of about 92.5%. From an economic point of view, the SAPS can save more than 44,000 Dt per year by purchasing energy from the grid system, while considering the aspect of sustainability, 66.24 kg of CO2 annually can be avoided by utilizing the sun’s energy. Furthermore, efficient solar panel use requires its characteristics to be identified under various conditions. An original experimental setup is carried out in the LPV Lab to identify PV characteristics. Experimental and simulation results performed under PSIM software are in good agreement, which shows the experimental setup’s effectiveness.
Recent progress in carbon dioxide capture technologies: A review
Authors: Lu Guanchu , Wang Zhe , Bhatti Umair Hassan , Fan Xianfeng 
Published: October 2023

The continuous increase in anthropogenic CO2 emissions is widely acknowledged as one of the main reasons for global climate change. To address this issue, significant advancements have been made in developing CO2 capture and utilization technologies that offer new solutions for mitigating carbon emissions and promoting a carbon economy. In this review, we summarize the recent research progress in CO2 capture and separation technologies, including pre-combustion, post-combustion, oxy-fuel combustion, chemical looping combustion and calcium looping combustion. Among these technologies, post-combustion is seen as one of the most promising options for reducing CO2 emissions from existing power plants, as it can be easily integrated into existing facilities without requiring major modifications. Therefore, the second section of this article focuses on the various post-combustion processes and technologies, such as physical absorption, amine scrubbing, dual-alkali absorption, chilled ammonia, membrane separation, and solid adsorption, with a particular emphasis on most recent research reports. As amine-based chemical absorption is the most leading post-combustion CO2 capture technique, the third section summarizes the recent development in amine-based absorption technology by covering conventional and emerging types of absorbents such as single amine, blended amine, biphasic amine, and non-aqueous amine processes. The different liquid absorption-based process is compared in terms of regeneration energy consumption, CO2 intake capacity, and optimal operating conditions, and the comparison data is summarized in tables. A critical literature review and comparison of various techniques show that non-aqueous amine absorbents can be promising alternatives to the conventional monoethanolamine (MEA) process. The goal of this review is to provide strategies and perspectives for accelerating the further study and development of CCS technologies.
PUENTES ROMANOS. LOS PUENTES ROMANOS DEL TÉRMINO MUNICIPAL DE CÓRDOBA. / ROMAN BRIDGES. ROMAN BRIDGES IN CORDOVA CITY COUNTY.
Authors: Ostos López Ildefonso 
Published: October 2023

(ES)Resumen: El presente artículo pretende, partiendo de un estudio generalista de los puentes romanos, llegar a unas conclusiones tras el análisis de los datos obtenidos en la investigación de los puentes estudiados en el término municipal de Córdoba.Palabras Clave: Córdoba; puente romano; arquitectura civil; ingeniería romana; caminos. (EN)Abstract: This article aims, from a general study of Roman bridges, reach conclusions after analyzing investigation data from the bridges studied in the municipality of Cordova.Keywords: Cordova, roman bridge, civil architecture, roman engineering, paths.
Reservoir Production Management With Bayesian Optimization: Achieving Robust Results in a Fraction of the Time
Authors: Kor Peyman , Hong Aojie , Bratvold Reidar 
Published: October 2023

SummaryIn well control (production) optimization, the computational cost of conducting a full-physics flow simulation on a 3D, rich grid-based model poses a significant challenge. This challenge is exacerbated in a robust optimization (RO) setting, where flow simulation must be repeated for numerous geological realizations, rendering RO impractical for many field-scale cases. In this paper, we introduce and discuss a new optimization workflow that addresses this issue by providing computational efficiency, i.e., achieving a near-global optimum of the predefined objective function with minimal forward model (flow-simulation) evaluations. In this workflow, referred to as “Bayesian optimization (BO),” the objective function for samples of decision (control) variables is first computed using a proper design experiment. Then, given the samples, a Gaussian process regression (GPR) is trained to mimic the surface of the objective function as a surrogate model. While balancing the dilemma to select the next control variable between high mean, low uncertainty (exploitation) and low mean, high uncertainty (exploration), a new control variable is selected, and flow simulation is run for this new point. Later, the GPR is updated, given the output of the flow simulation. This process continues sequentially until the termination criteria are satisfied. To validate the workflow and obtain a better insight into the detailed steps, we first optimized a 1D problem. The workflow is then implemented for a 3D synthetic reservoir model to perform RO in a realistic field scenario (8-dimensional and 45-dimensional optimization problems). The workflow is compared with two other commonly used gradient-free algorithms in the literature: particle swarm optimization (PSO) and genetic algorithm (GA). The main contributions are (1) developing a new optimization workflow to address the computational cost of flow simulation in RO, (2) demonstrating the effectiveness of the workflow on a 3D grid-based model, (3) investigating the robustness of the workflow against randomness in initiation samples and discussing the results, and (4) comparing the workflow with other optimization algorithms, showing that it achieves same near-optimal results while requiring only a fraction of the computational time.
Reducing knowledge synthesis workload time using a text-mining algorithm for research location and subtopic extraction from geographically dependent research publications
Authors: Grokhowsky Nicholas 
Published: October 2023

Abstract
The use of text-mining for knowledge synthesis, including literature reviews, has been gaining traction as modern Natural Language Processing tools have progressed. However, there is a trade off between accuracy and precision with workload times. The largest workload times for data extraction typically have better validation metrics. Manual data extraction is an example of this. Currently, there are a limited number of text-mining tools that have shown data extraction from research texts within minutes while maintaining acceptable validation metrics. By using a previously demonstrated generalized approach to determine research production with modern text-mining tools for extracting research locations and subtopics, a methodology with higher than average validation metrics and significantly improved workload times is shown.
It was shown that coupling two reliable Named Entity Recognition tool kits for research location extraction, a Latent Dirichlet Allocation model for unsupervised subtopic detection, and a Large Language Model for subtopic clustering can extract research locations, from more than 1,000 public health research articles, and cluster their subtopics, in less than 5 minutes. Validation metrics return F1 Measures of 92% for research location extraction and 71% for subtopic clustering. Additionally, applying these results to a previously constructed spatiotemporal generalization process reproduces the generalized results with a correlation coefficient of 97%, which significantly varies from random chance (p < 0.001). The mapped fitted values are reliably close with the validation model’s fitted values.
Genotype-based “virtual” metabolomics in a clinical biobank identifies novel metabolite-disease associations
Authors: Bagheri Minoo , Bombin Andrei , Shi Mingjian , Murthy Venkatesh L. , Shah Ravi , Mosley Jonathan D. , Ferguson Jane F. 
Published: October 2023

Abstract
Circulating metabolites act as biomarkers of dysregulated metabolism, and may inform disease pathophysiology. A portion of the inter-individual variability in circulating metabolites is influenced by common genetic variation. We evaluated whether a genetics-based “virtual” metabolomics approach can identify novel metabolite-disease associations. We examined the association between polygenic scores for 726 metabolites (derived from OMICSPRED) with 1,247 clinical phenotypes in 57,735 European ancestry and 15,754 African ancestry participants from the BioVU DNA Biobank. We probed significant relationships through Mendelian randomization (MR) using genetic instruments constructed from the METSIM Study, and validated significant MR associations using independent GWAS of candidate phenotypes. We found significant associations between 336 metabolites and 168 phenotypes in European ancestry and 107 metabolites and 56 phenotypes among African ancestry. Of these metabolite-disease pairs, MR analyses confirmed associations between 73 metabolites and 53 phenotypes in European ancestry. Of 22 metabolite-phenotype pairs evaluated for replication in independent GWAS, 16 were significant (false discovery rate p<0.05). Validated findings included the metabolites bilirubin and X–21796 with cholelithiasis, phosphatidylcholine(16:0/22:5n3,18:1/20:4) and arachidonate(20:4n6) with inflammatory bowel disease and Crohn's disease, and campesterol with coronary artery disease and myocardial infarction. These associations may represent biomarkers or potentially targetable mediators of disease risk.
Research on the durability of FRP-bonded concrete beams subjected to a performance probabilistic design method
Authors: Zou Yunfei , ji yongcheng , Li Wei 
Published: October 2023

Abstract
FRP-bonded concrete enhances the structural strength and extends the service life, yet durability challenges remain pronounced. Carbon Fiber Reinforced Polymer (CFRP) and Glass Fiber Reinforced Polymer (GFRP) are employed to bond precast cracked concrete beams. Three adverse environments are established: freeze-thaw cycle, sulfate erosion, and salt-freeze coupling erosion conditions. The degradation patterns of specimens under single erosion and coupled erosion environments are compared using electron microscopy, mass loss analysis, load-displacement curves, and bottom strain measurements. The disparities in degradation mechanisms between coupled and single erosions are also examined. The outcomes demonstrate that the degradation from salt-freeze coupling erosion surpasses the cumulative effect of individual erosion. The mechanism behind salt-freeze coupling erosion involves sulfate exacerbating the irregular deterioration of FRP-bonded concrete beams induced by freeze-thaw cycles. The calculated error rates for load strength in adverse environments using the probabilistic design methods are 1.22%, 2.86%, and 2.13%, respectively, all within the 3% threshold, indicating a high level of predictive accuracy. Ultimately, predictive models for the strength of FRP-bonded concrete beams are developed under the three adverse environmental conditions.
Functional Production, Extracellular Expression, and Antitumor Activity of Mouse Alpha-Klotho in Model Microalga Chlamydomonas reinhardtii
Authors: ÇAKMAK Ramazan , Uzuner Ugur 
Published: October 2023

Abstract
Purpose
Klotho is a human protein with versatile functions associated with longevity and well-being. Deficiency of α-Klotho (α-KL) in the circulatory system is associated with decreased life expectancy along with numerous disorders such as chronic kidney disease, atherosclerosis, infertility, skin atrophy, emphysema, defective cognitive development, various incurable cancers, osteoporosis, and so on. Here we aimed the recombinant, low-cost, photosynthetic production of α-KL in eukaryotic microalgal systems.
Methods
The gene corresponding to the mouse α-KL(mα-KL) protein was codon optimized and synthetically produced for Chlamydomonas reinhardtii (CCALA 928) hosts. Following Agrobacterium-based transformation, the recombinant protein was expressed under the Hsp70A/RbcS2 dual promoter system and produced extracellularly. The anticarcinogenic activity of recombinant mα-KL was examined on Rattus norvegicus AR42J pancreatic tumor cell lines.
Results
Heterologous, functional and extracellular production of mα-KL protein was achieved for the first time in the model microalga C. reinhardtii. Secretion of mα-KL into the extracellular environment facilitated downstream processes and enabled low-cost purification at high titers. Up to 4.37 µg/mL mα-KL protein was recovered from cell-free culture supernatants of transgenic strains. Furthermore, the anticarcinogenic activity of recombinant mα-KL was confirmed in AR42J pancreatic tumors.
Conclusion
With the establishment of cheap, sustainable and functional production of α-KL, an important obstacle to its widespread use in the treatment of various diseases has been overcome. This can also serve as an important cornerstone in the development of various cosmetics, pharmaceuticals and quality products containing α-KL.
Efficacy of real versus sham DLPFC-NAc rTMS for depressed adolescents with anhedonia using resting-state functional magnetic resonance imaging (fMRI): a study protocol for a randomized placebo-controlled trial
Authors: Lv Runxin , Cai Min , Tang Nailong , Zhang Yuyu , Liu Nian , Han Tianle , Zhang Yaochi , Wang Huaning 
Published: October 2023

Abstract
Introduction
Anhedonia is considered one of the core symptoms of major depressive disorder (MDD), which predicts adverse outcomes among adolescents, including illness severity, antidepressant refractoriness, recurrence of MDD and suicide. Patients who suffer from anhedonia have a faint response to selective serotonin reuptake inhibitors (SSRIs) and cognitive behavioral therapy (CBT). Previous research has indicated associations between anhedonia and abnormalities within the reward circuitry, highlighting the potential of the nucleus accumbens (NAc) as a viable target. Considering deep location of the NAc, repetitive transcranial magnetic stimulation (rTMS) has potential to modulate this specific region. Recent methodological advances suggest that treatment technology has significant potential in precisely targeting the left dorsolateral prefrontal cortex (DLPFC) and modulating the functional connectivity (FC) between DLPFC and NAc for adolescent patients with anhedonia. We will conduct a study to explore the safety and effectiveness of using resting-state fcMRI-guided rTMS for treating anhedonia in adolescents diagnosed with MDD.
Methods and analysis
This article presents a study protocol for a randomized, double-blind, placebo-controlled, parallel-group experiment. A quantity of 88 patients will be recruited and randomly assigned to receive either active rTMS or sham rTMS. The primary outcome is to determine the percentage change in the severity of anhedonia, as assessed through the Snaith-Hamilton Pleasure Scale (SHAPS), from the beginning to the end of the follow-up period (from baseline to 8 weeks after treatment). Secondary outcome measures will include fMRI measurements, Hamilton rating scale for depression (HAMD-17), Montgomery Asberg depression rating scale (MADRS), Chinese version of temporal experience of pleasure scale (CV-TEPS), Chinese version of Beck scale for suicide ideation (BSI-CV), clinical global impression (CGI) and monitoring adverse events. Assessments will be conducted at baseline, as well as at 1, 2, 4, and 8 weeks.
Ethics and dissemination
The study protocol received approval from the ethics committee of Xijing Hospital in September 2022 (Protocol ID: KY20222165-F-1). The study findings will be published in peer-reviewed journals.
Trial registration number
ClinicalTrials.gov, NCT05544071