bluuebunny/crossref_metadata_2025_split huggingface dataset:
Progressive Mechanical and Structural Changes in Anterior Cerebral Arteries with Alzheimer’s Disease
Authors: Liu Xiaozhu , Halvorsen Samuel , Blanke Nathan , Downs Margaret , Stein Thor D. , Bigio Irving J. , Zaia Joseph , Zhang Yanhang 
Published: August 2023

Abstract
Alzheimer disease (AD) is a neurodegenerative disease and the main cause for dementia. The irreversible neurodegeneration leads to a gradual loss of brain function characterized predominantly by memory loss. Cerebrovascular changes are common neuropathologic findings in aged subjects with dementia. Cerebrovascular integrity is critical for proper metabolism and perfusion of the brain, as cerebrovascular remodeling may render the brain more susceptible to pulse pressure and may be associated with poorer cognitive performance and greater risk of cerebrovascular events. The objective of this study is to provide understanding of cerebrovascular remodeling with AD progression. A total of 28 brain donor participants with human anterior cerebral artery (ACA) from controls and pathologically diagnosed AD groups (early – Braak stages I-II; intermediate – Braak stages III-IV; and advanced – Braak stages V-VI) were included in this study. Mechanical testing, histology, advanced optical imaging, and mass spectrometry were performed to study the progressive structural and functional changes of ACAs with AD progression. Biaxial extension-inflation tests showed that ACAs became progressively less compliant, and the longitudinal stress in the intermediate& advanced AD groups was significantly higher than that from the control group. With pathological AD development, the inner and outer diameter of ACA remained almost unchanged; however, histology study revealed progressive smooth muscle cell atrophy and loss of elastic fibers which led to compromised structural integrity of the arterial wall. Multiphoton imaging demonstrated elastin degradation at the media-adventitia interface, which led to the formation of an empty band of 21.0 ± 15.4 µm and 32.8 ± 9.24 µm in width for the intermediate& advanced AD groups, respectively. Furthermore, quantitative birefringence microscopy showed disorganized adventitial collagen with AD development. Mass spectrometry analysis provided further evidence of altered collagen content and other extracellular matrix (ECM) molecule and smooth muscle cell changes that were consistent with the mechanical and structural alterations. Collectively, our study provides understanding of the mechanical and structural cerebrovascular deterioration in cerebral arteries with AD, which may be related to neurodegenration and pathology in the brain.
Carbon-Infiltrated Carbon Nanotubes Inhibit the Development of Staphylococcus aureus Biofilms
Authors: Bowden Lucy C. , Wells Jocelyn G. , Miller Katelyn M. , Bowden Anton E. , Jensen Brian D. , Hope Sandra , Berges Bradford K. 
Published: August 2023

Abstract
Background: Staphylococcus aureus forms biofilms that cause considerable morbidity and mortality in patients who receive implanted devices such as prosthetics or fixator pins. An ideal surface for such medical devices would inhibit biofilm growth. Recently, it was reported that surface modification of stainless steel materials with carbon-infiltrated carbon nanotubes (CICNT) inhibits the growth of S. aureus biofilms. The purpose of this study was to investigate this antimicrobial effect on titanium materials with CICNT coated surfaces in a variety of surface morphologies and across a broader spectrum of S. aureus isolates.
Results: Study samples of CICNT-coated titanium, and control samples of bare titanium, a common implant material, were exposed to S. aureus. Viable bacteria were removed from adhered biofilms and quantified as colony forming units. Scanning electron microscopy was used to qualitatively analyze biofilms both before and after removal of cells. The CICNT surface was found to have significantly fewer adherent bacteria than bare titanium control surfaces, both via colony forming unit and microscopy analyses. This effect was most pronounced on CICNT surfaces with an average nanotube diameter of 150 nm, showing a 2.5-fold reduction in adherent bacteria. Since S. aureus forms different biofilm structures by isolate and by growth conditions, we tested 7 total isolates and found a significant reduction in the biofilm load in six out of seven S. aureus isolates tested. To examine whether the anti-biofilm effect was due to the structure of the nanotubes, we generated an unstructured carbon surface. Significantly more bacteria adhered to a nonstructured carbon surface than to the CICNT surface, suggesting that the topography of the nanotube structure itself has anti-biofilm properties.
Conclusions: The CICNT surface possesses antimicrobial properties that result in fewer adherent S. aureus bacteria. These antimicrobial properties are consistent across multiple isolates of S. aureus and are affected by nanotube diameter. The experiments performed in this study suggest that this effect is due to the nanostructure of the CICNT surface.
Effect of minocycline, methyl prednisolone, or combination treatment on the colonic bacterial population in a state of colonic inflammation using the murine dextran sulfate sodium model
Authors: Khajah Maitham A. , Hawai Sanaa 
Published: August 2023

Abstract
Background
several reports demonstrated anti-inflammatory properties of minocycline in various inflammatory disorders including colitis. We have experimental evidence suggesting synergistic anti-inflammatory effect of minocycline with methyl prednisolone in reducing colitis severity in mice, but if this effect is in part related to modulating the composition of colonic microbiota is still unknown.
Methods
the effect of vehicle (V), minocycline (M), methyl prednisolone (MP), or combination (C) regimen on the composition of the microbiota of mice in a state of colon inflammation compared to untreated (UT) healthy mice was determined using 16s metagenomic sequencing, and the taxonomic and functional profiles were summarized.
Results
Overall, the bacterial flora from the phylum Firmicutes followed by Bacteroidota were found to be predominant in all the samples. However, the composition of Firmicutes was decreased relatively in all the treatment groups compared to UT group. A relatively higher percentage of Actinobacteriota was observed in the samples from the C group. At the genus level, Muribaculaceae, Bacteroides, Bifidobacterium, and Lactobacillus were found to be predominant in the samples treated with both drugs (C). Whereas “Lachnospiraceae NK4A136 group” and Helicobacter in the M group, and Helicobacter in the MP group were found to be predominant. But, in the UT group, Weissella and Staphylococcus were found to be predominant. Eubacterium siraeum group, Clostridia vadinBB60 group, Erysipelatoclostridium and Anaeroplasma genera were identified to have a significant (FDR p < 0.05) differential abundance in V compared to C and UT groups. While at the species level, the abundance of Helicobacter mastomyrinus, Massiliomicrobiota timonensis and uncultured Anaeroplasma were identified as significantly low in UT, C, and M compared to V group. Functional categories related to amino acid, carbohydrate, and energy metabolism, cell motility and cell cycle control were dominated overall across all the samples. Methane metabolism was identified as an enriched pathway. For the C group, “Colitis (decrease)” was among the significant (p = 1.81E-6) associations based on the host-intrinsic taxon set.
Conclusion
combination regimen of minocycline plus methyl prednisolone produces a synergistic anti-inflammatory effect which is part related to alternation in the colonic microbiota composition.
Exploring the Conformational Dynamics and Key Amino Acids in the CD26-Caveolin-1 Interaction and Potential Therapeutic Interventions
Authors: Hu Xiaopeng , Jiang Chunmei , Gu Yanli , Xue Xingkui 
Published: August 2023

Abstract

The study focused on the interaction between CD26 and caveolin-1, and employed zDOCK to identify two binding conformations, con1 and con4. Molecular dynamics simulations and alanine scanning were performed to analyze the contribution of key amino acids in the CD26 and caveolin-1 interaction. The 100ns simulation trajectories revealed that con1 exhibited smaller fluctuations and displayed more stable thermodynamic characteristics compared to con4. In con1, specific interactions were observed, including CD26's GLU237 forming a hydrogen bond with F chain's TYR151, CD26's TYR24 engaging in a π-π interaction with F chain's PHE160, CD26's TYR248 forming π-π interactions with G and H chains' PHE160, CD26's ARG147 forming a π-π interaction with I chain's TYR148, CD26's GLY99 participating in a cation-π interaction with J chain's TYR151, and CD26's PHE98 forming a hydrogen bond with J chain's TYR151. In con4, CD26's ARG253 formed a hydrogen bond with J chain's THR95, CD26's LYS250 interacted with the J chain's PHE99 through hydrogen bonding and π-π interactions, and CD26's TYR248 engaged in a π-π interaction with J chain's TRP98. Based on the information about the key amino acids involved in the CD26 and caveolin-1 interaction, a high-throughput virtual screening of small molecule compounds was conducted using the Traditional Chinese Medicine Library and the Anti-diabetic Compound Library. Crocin, Poliumoside, and Canagliflozin were identified as compounds with high docking scores and favorable binding modes to CD26 and caveolin-1. These compounds primarily interacted with CD26 and caveolin-1 through hydrogen bonding and hydrophobic interactions. Interestingly, Canagliflozin was also found to interact through π-π interactions with CD26 and caveolin-1 binding sites. This study represents the first elucidation of the preferred conformations and key amino acids involved in the CD26 and caveolin-1 interaction. The identification of these key amino acids contributes to a better understanding of the structure-function relationship in protein binding and provides important insights for further research and drug design. Additionally, the virtual screening identified potential small molecule compounds (Crocin, Poliumoside, and Canagliflozin) that have the potential to inhibit tumor growth and metastasis, alleviate inflammatory responses, and regulate metabolic processes by targeting the CD26 and caveolin-1 interaction. However, further in vitro and in vivo experiments are required to validate these findings before the research can progress into clinical translation. In conclusion, a comprehensive understanding of the CD26 and caveolin-1 interaction contributes to the elucidation of the pathological mechanisms underlying relevant diseases and provides new targets and strategies for disease treatment and intervention.
Combined endoscopic endonasal and transcranial approach for internal carotid artery aneurysms: usefulness and safety of endonasal proximal control
Authors: Sato Ryota , Akiyama Yukinori , Mikami Takeshi , Kawata Yuka , Kamada Chie , Kimura Yusuke , Komatsu Katsuya , Mikuni Nobuhiro 
Published: August 2023

Abstract
It is necessary to secure both the proximal and distal sides of the parent artery to prevent premature rupture when clipping cerebral aneurysms. Herein, we describe four cases in which the proximal internal carotid artery (ICA), affected by a paraclinoid aneurysm, was secured using an endoscopic endonasal approach. We used various tools, including a surgical video, cadaver dissection picture, artist's illustration, and intraoperative photographs, to elucidate the process. No patient experienced postoperative complications at our institution. Compared to the cervical or cavernous ICA, the ICA adjacent to the clivus (paraclival ICA) can be anatomically safely and easily exposed using an endoscopic endonasal approach because there is no need to consider cerebrospinal fluid leakage or hemorrhage from the cavernous sinus. Securing the proximal side of the parent artery using an endoscopic endonasal approach may be a viable method for clipping selected ICA aneurysms, such as paraclinoid aneurysms especially for upward or outward aneurysms of the C2 portion.
A Seismic Retrofit Method for Non-Seismically Designed Reinforced Concrete Columns Using Steel Rods
Authors: Kim Min Sook , Lee Young Hak 
Published: August 2023

Abstract
This paper presents experimental results of combined cyclic load testing on a reinforced concrete (RC) column that was retrofitted with newly designed steel rods. The steel rods were installed around the column longitudinally and then anchored. The proposed steel rods utilize simple components and installation to enhance both the strength and ductility of RC columns. One column was tested as a reference specimen, while two were tested after retrofitting using steel rods. All specimens were tested under eccentric constant axial load and incrementally increasing lateral loading cycles with eccentricity. The test parameters include the retrofitting length, a specimen that was retrofitted to the entire length of the column, and a specimen that was retrofitted to the plastic hinge length. The implementation of steel rods resulted in significant improvement in ductility and an up to 60% increase in ultimate loading capacity.
Efficient Privacy Preserving Lightweight Cryptography for Multi-hop Clustering in Internet of Vehicles Network
Authors: Kumar Abhishek , Dubey Ashutosh Kumar , kumar T. Ananth , Ahuja Sachin , Dutt Vishal 
Published: August 2023

Abstract
The Internet of Vehicles (IoV) is an element of the global connectivity infrastructure Connected vehicles are beneficial to the health of their users in a significant way. However, several drawbacks have been identified, creating the potential for compromised Internet of Vehicles devices. Moreover, the high mobility results in high energy consumption, which reduces the network's overall performance. The Efficient Privacy-preserving Lightweight-cryptography for Cluster-based Internet of Vehicles (EPLC-IoV) model that has been proposed is divided into five distinct sections. These include the perception layer, attack characteristics, a novel clustering strategy, energy-efficient multi-hop clustering along with adaptive link selection through an enhanced AODV protocol. Additionally, the proposed system performed identity authentication and protected users' privacy in some use cases, making V2V communication messages more trustworthy by allowing anonymous trust relationship authentication. Because, the proposed system allowed for anonymous authentication trust relationships, between vehicle nodes. The proposed model was evaluated alongside several established methodologies, including AODV, EPAM, and EMSUNET. The significant parameters focused in this work are packet delivery ratio (PDR), i.e., increased up to 82%, End to End delay (E2E_Delay) decreased up to above 50%, leading to the improved network lifetime.
Clinical outcomes in one of four cycles of frozen-thawed embryo transfer cycles were increased by administering GnRH-a during the luteal phase: retrospective analysis
Authors: Mahmood Aamir , Li tan , Zhang Jie , Li Yan 
Published: August 2023

Abstract
we have conducted a Retrospective Cohort study and analyzed 3515 cycles of receiving FET at the Reproductive Center of the Second Affiliated Hospital of Zhengzhou University from February 2018 to December 2021. The Patients were divided into GnRH-a (triptorelin + existing treatment) group and No GnRH-a (existing treatment without Triptorelin) group. There were 1033 and 2485 cases in the study group and control groups. Clinical pregnancy Rate and Live Birth Rate were compared between two groups. We have found higher clinical pregnancy rates (58.0% vs. 48.4%, P = 0.003) and Live Birth Rates (52.7% vs. 45.6%, P = 0.001) for HRT-FET cycles, and found no clinical significance for NC-FET(58.2% vs 52.9%, P = 0.364) and (54.4%vs 47.0%,P = 0.211), GnRH-a + HRT-FET(53.0% vs 53.0% P = 0.176) and(46.2%vs47.3%, P = 0.794), and Stimulation-FET (59.3%vs52.9%, P = 0.566) and (59.3%vs47.1%, P = 0.247) in terms of clinical pregnancy rates and live birth rates between two groups. There was 47% increment of clinical pregnancy rate in the GnRH-a group and there was 33% increment of live birth rate in the GnRH-a group. During the FET cycles, administering of Triptorelin 3–4 times in the existing luteal support can improve the clinical pregnancy rate and live birth rate. Administering Triptorelin during the Luteal phase can be a new option for luteal support.
Circular RNA circDDX17 suppression to gastric cancer progression via the sponging miR-1208/miR-1279/FKBP5 axis and encodes a novel circDDX17-63aa protein
Authors: Liu Tingjun , Ma Tieliang , Xue Jiaxin , Zhu Linqi , Zhao Wenjun , Sun Jing , Wang Fan , Cui Feilun , Shao Shihe 
Published: August 2023

Abstract
Circular RNAs (circRNAs) have an important role in the development and progression of gastric cancer (GC). Hsa_circ_0063331 (circDDX17), a new circRNA shown to be considerably down-regulated in GC, was chosen for further study. The location of circDDX17 in GC cells was investigated using nuclear and cytoplasmic RNA fractionation and an RNA-FISH experiment. qRT-PCR was used to determine the expression levels of circDDX17, miR-1208, miR-1279, and FKBP5 in GC tissues. To investigate the functional mechanism of circDDX17 on the miR-1208/miR-1279/FKBP5 axis in GC cells, bioinformatics analysis, luciferase reporter, and IP were used. To investigate the role of circDDX17 and circDDX17-63aa in GC development, researchers used Transwell, wound healing, colony formation assays, CCK8, cell apoptosis tests, and Western blot. Finally, circDDX17 function in vivo was investigated using xenograft and metastatic mice models. We discovered that circDDX17 was down-regulated in GC tissues and cell lines in our investigation. CircDDX17 expression in GC patients was linked to tumor growth and lymph node metastasis. CircDDX17 decreased GC cell proliferation, migration, and epithelial-mesenchymal transition (EMT), while also promoting apoptosis in vitro and in vivo. CircDDX17 behaved as a sponge for miR-1208 and miR-1279, regulating FKBP5 expression in GC cells. FKBP5 interacts with ERK1/2 to control GC development through the ERK1/2 pathway. Furthermore, circDDX17 also encoded circDDX17-63aa, which inhibited GC cell proliferation, migration, and EMT. Finally, circDDX17 inhibits GC advancement via miR-1208/miR-1279/FKBP5 and encoded circDDX17-63aa to inhibit GC progression.
Geospatial distribution, mapping, and identification of potential risk areas for the sterility mosaic disease of pigeonpea in India
Authors: Mediga Kasi Rao , Sunkad Gururaj , Shil Sandip , Kulkarni Sunil , Desai B. K. , Patil Balanagouda , Chandran U. S. Sharath , Sharma Mamta 
Published: August 2023

Abstract
Background
Sterility mosaic disease (SMD) is an emerging biotic risk to the cultivation of pigeonpea throughout the Indian subcontinent. The prevalence and distribution of SMD documented from diverse agro-climatic zones are still scanty. In this investigation, we determined the spatial distribution of SMD covering major pigeonpea-growing states of India, viz., Karnataka, Telangana, Tamil Nadu, Maharashtra, and Andhra Pradesh, by considering two years of exploratory survey data. Geospatial approaches were employed to forecast the SMD incidence levels at unvisited locations using neighboring observations.
Results
The results indicated enormous variability in the incidence levels of SMD ranging from 1.10-19.21% in pigeonpea-growing states. Spatial autocorrelation analysis and Ripley’s K function established the presence of average clustering over sampling locations. Two main clusters were identified via agglomerative hierarchical cluster analysis. From the LISA analysis, most of the districts were clustered together at (I˂0). From the p-values, Krishnagiri district of Tamil Nadu recorded the highest spatial dependence, while the remaining districts recorded moderate spatial dependence (p˂0.05). Based on kriging, the Chittoor district of Andhra Pradesh, Medak and Ranga Reddy districts of Telangana, Bijapur district of Karnataka, and Latur district in Maharashtra states were found to be vulnerable to SMD occurrence in the future. The Matern model was shown to be the best of the several semivariogram experimental models tested for spatial patterns of SMD incidence, from which OK and IK maps were created. Based on the interpolation results, the potential SMD hotspots/risk areas were largely noticed in Telangana, Andhra Pradesh, Karnataka, and Tamil Nadu states. These identified hotspots for SMD revealed high levels of disease probability rates (> 25%) above the threshold level and must be closely monitored to restrict and minimize further disease spread across the studied areas in India.
Conclusions
In pigeonpea, this is the first study in India that attempted to understand the spatial pattern of SMD using geostatistical methodologies. The results of the study will aid in the design and dissemination of specific management practices and curb the further spread of SMD.
Response Framework: Tidal analysis and prediction through physics-informed ML
Authors: Monahan Thomas , Tang Tianning , Roberts Stephen , Adcock Thomas 
Published: August 2023

Abstract

Worldwide, tidal flows pose significant operational and engineering challenges to numerous industries and are critical drivers of many biological, chemical, and geophysical processes. Accurate tidal predictions are important for modeling these phenomena at both global and regional scales. Conventionally, tidal prediction is carried out using harmonic analysis (HA) which places severe restrictions on the minimum length of tidal records and cannot separate oceanography from astronomy. While a physical framework was devised by Munk and Cartwright, the method failed due to the significant burden of realistic input function selection. Here, we develop a new framework for tidal analysis and prediction based on embedding universal function approximators within Munk and Cartwright’s response method. The new Response Framework overcomes the challenges imposed by the original method and demonstrates superior predictive accuracy over HA using 90\% less data. We also devise a method for obtaining physical insights from the learned model and apply this to explain oceanic resonance, something that is not possible in traditional tidal analysis. By explicitly separating oceanography from astronomy, the Response Framework provides a basis for the study of non-gravitational forcing, including anthropogenic climate change. Our approach is readily adapted to modern oceanographers’ needs and shows promise in terms of application to upcoming satellite missions and storm-surge modeling. An open-source Python package is provided.