bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biomechanical Behavior of All-On-4 Concept and Alternative Designs Under Different Occlusal Load Configurations for Completely Edentulous Mandible: A 3-D Finite Element Analysis
Authors: Şentürk Ayben , Akaltan Funda 
Published: October 2023

Abstract

Background
In edentulous patients, the number of implants, the area where the implant will be placed, the presence and length of the cantilever in the prosthesis and the occlusion type can be challenging. The aim of this study was to evaluate the effect of the All-on-4 design and 4 alternative implant-supported fixed prosthesis designs on stress distribution in implants, peri-implant bone, and prosthetic framework in the edentulous mandible under different loading conditions using three-dimensional finite element analysis (3D-FEA).
Methods
Five different experimental finite element models (Model A (unsplinted 6), Model B (splinted 6), Model C (All-on-4), Model D (axial; 2 anterior, 2 posterior), Model E (4 interforaminal) were created. Porcelain substructure, Co-Cr framework, titanium abutments and implants were modeled, and three different loading conditions were applied (canine loading, unilateral I-loading, unilateral II-loading). The highest minimum (Pmin) and the maximum (Pmax) principal stress values were acquired for cortical and trabecular bones; the highest von Mises (mvM) stress values were obtained for implants and metal frameworks.
Results
Model B and Model D showed the most favorable stress distribution. The All-on-4 design (Model C) also showed acceptable stress values close to Model B and Model D in the cortical and trabecular bone. The lowest stress values measured in the implants and Co-Cr framework in Model B and Model D, in accordance with the stress values in the bone structure. The highest stress values in all structures were measured for the unilateral loading- II, while the lowest values were found for canine loading. The use of angled (30º) implants did not affect the stress values as much as the length of the cantilever, splinting and configuration of the occlusal load.
Conclusion
It was concluded that Model B and Model D experimental models showed better biomechanical performance in the implant, peri-implant bone, and prosthetic framework. Furthermore, the use of splinted framework, avoiding the cantilevers, results in lower stress transmission. On the other hand, canine loading and unilateral loading-I exhibited the best loading conditions. Although the forces on the cantilever region were attenuated in unilateral loading-II, it generated considerably higher stress distribution.
Intraoperative ultrasound combined with MRI for evaluating float back and enlargement of the spinal cord after cervical laminoplasty in the management of degenerative cervical myelopathy
Authors: Li Jiachun , Chen Zhenxiang , Liu Hanzhong , Huang Shenghui , Cui Peng , Wan Junming , Wei Fuxin , Liu Wenfen 
Published: October 2023

Abstract

Background Spinal cord floating and enlargement can develop after cervical laminectomy and laminoplasty, it determines whether completely decompress the cord. To assess the relationship between immediate float back and enlargement of the spinal cord after decompression and subsequent recovery of spinal cord function. Methods The parameters associated with float back and enlargement of the spinal cord in Intraoperative ultrasound (IOUS) and preoperative MRI were investigated. Spinal cord function recovery was also investigated as measured by the mJOA score at the one-year follow-up. Results The average preoperative mJOA score was 10.24 ± 2.59, the postoperative mJOA score was 14.51 ± 2.32, and improvements in mJOA score were achieved with an average recovery rate of 64.29%±27.70%. The immediate float back distance after decompression (1.01 ± 0.49 mm) was positively correlated with the one-year follow-up mJOA score (P < 0.01, r = 0.68) and the recovery rate of the mJOA score (P < 0.01, r = 0.72). The immediate enlargement of the spinal cord (1.39 ± 0.84 mm) was positively correlated with the one-year follow-up mJOA score (P < 0.01, r = 0.64) and the recovery rate of the mJOA score (P < 0.01, r = 0.71). Immediate enlargement of the front side of the spinal cord (1.39 ± 0.59 mm) was positively correlated with the one-year follow-up mJOA score (P < 0.01, r = 0.74) and the recovery rate of the mJOA score (P < 0.01, r = 0.73). Interestingly, only enlargement of the front side of the spinal cord was positively correlated with the preoperative mJOA score (P < 0.05, r = 0.36). Conclusions The extent of immediate spinal cord float back, and enlargement after decompression in French-door cervical laminoplasty can be evaluated using preoperative MRI combined with IOUS, and these indications help predict the clinical outcome after French-door expansive laminoplasty.
Treatment Burden and Regimen Fatigue Among Patients with HIV and Diabetes Attending ART and Diabetic Clinics of Tikur Anbessa Specialized Hospital: An Explanatory Sequential Mixed-Methods Study
Authors: Muhammed Oumer Sada , Hassen Minimize , Taye Melaku , Beyene Eyob , Bedru Beshir , Tileku Melaku 
Published: October 2023

Abstract
Nascent studies showed that patients with chronic medical illnesses such as diabetes mellitus (DM) and HIV/AIDS are highly vulnerable to face both treatment burden and regimen fatigue. However, attempt made so far on this sphere in sub-Saharan African health care context is dearth. Thus, this study aimed to assess patients’ and health care workers’ propositions on how to decrease treatment burden and regimen fatigue among HIV and diabetes patients attending the ART and DM clinics of Tikur Anbessa Specialized Hospital (TASH). An explanatory sequential mixed methods study was conducted at the adult HIV and DM clinics of TASH, Addis Ababa, Ethiopia from February 01-March 30, 2022. Simple random and purposive sampling techniques were employed to select participants for quantitative and qualitative studies, respectively. Descriptive analysis was done to summarize the quantitative data. Logistic and linear regression analyses were performed to identify predictors of treatment burden and regimen fatigue, respectively. P value < 0.05 was considered statistically significant. Qualitative data was analyzed by using a thematic analysis. A total of 300 patients (200 diabetes and 100 HIV) were included in the quantitative study. For the qualitative study, 14 patients and 10 health care workers (six nurses and four medical doctors) were included. Participants mean global Treatment Burden Questionnaire (TBQ) and Treatment Regimen Fatigue Scale (TRFS) score were 28.86 ± 22.13 and − 42.82 ± 17.45, respectively. Roughly, 12% patients experienced high treatment burden. The presence of two or more comorbidities (adjusted odds ratio [AOR] = 7.95, 95% confidence interval [CI]: 1.59–39.08), daily ingestion of more than five prescribed medications (AOR = 6.81, 95%CI: 1.59–29.14), and good knowledge about DM and/or HIV (AOR = 0.33, 95%CI: 0.12–0.92) were predictors of treatment burden. Poor availability of medications (β = 0.951, p < 0.001) was the only predictor of regimen fatigue. Patients and health care workers primarily proposed to foster self-care efficacy, advance administrative services of the clinic and hospital, and improve healthcare system provision. The findings of this study unveiled that considerable proportion of patients experienced low levels of treatment burden and regimen fatigue. This study showed that boosting the patients’ self-care efficacy, upgrading administrative services of the clinic and hospital, and promoting the healthcare system provision had enormous significance to reduce treatment burden and regimen fatigue. Therefore, when designing patient specific healthcare interventions for both HIV and diabetic patients’ various factors affecting both treatment burden and regimen fatigue should be taken into account.
Research on Water Environmental Indicators Prediction Method Based on EEMD Decomposition with CNN-BiLSTM
Authors: Wang Zhaohua , Duan Longzhen , Shuai Dongsheng , Qiu Taorong 
Published: October 2023

Abstract
Water resources protection is related to the development of the social economy,and the monitoring and prediction of water environmental indicators have important practical significance.In view of the seasonality,periodicity,uncertainty,and nonlinear characteristics of water quality indicators data,traditional prediction models have poor performance.So this paper proposes a hybrid water quality index prediction model based on Ensemble Empirical Mode Decomposition (EEMD),combined with Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory Network (BiLSTM).Carry out experiments to predict dissolved oxygen based on the water quality monitoring indicators of the Liaohe National Control Sanhongcun Village station in Yichun City. The results show that the model proposed in this paper improves the $R^2$ index by 5\%, 7\%, 5\%, and 2\% compared to the suboptimal model in the 4-hour, 1-day, 2-day, and 3-day index predictions, respectively.
Optimizing Prediction of Bolt Support Drilling Pressure: A Hybrid Algorithm Approach to Screen Gaussian Process Time Series Regression Parameters
Authors: Liu Jie 
Published: October 2023

Abstract

The unpredictability of drilling pressure in bolt support systems has emerged as a significant constraint on support efficiency. Current research gaps exist in the field of machine learning for pre-drilling pressure prediction in bolt support and the selection method for key parameters (kernel function and historical points) in Gaussian processes. This study proposes a novel prediction method for bolt support drilling pressure, leveraging hybrid optimization algorithms to identify the key parameters in Gaussian process time series regression. Initially, the Gaussian process time series regression algorithm is modeled. Through data computation and simulation, it is observed that employing the Gaussian process time series algorithm for predicting the drilling pressure of bolt support results in substantial variation in the outcomes when different combinations of kernel functions and historical points are used. Therefore, it is essential to identify the optimal kernel function and the most suitable number of historical points before utilizing the Gaussian process time series algorithm for predicting drilling pressure. Subsequently, three hybrid optimization algorithms (GA-GPR, PSO-GPR, and ACA-GPR) are employed to iteratively optimize the two key parameters (kernel function and historical points) in Gaussian process time series regression. Among these, the PSO-GPR algorithm proves to be the most effective for identifying the kernel function and historical points of the key parameters in the Gaussian process time series algorithm when applied to the prediction of drilling pressure in bolt support. Remarkably, even with a small sample size and a limited number of iterations, PSO-GPR achieves 80% accuracy while reducing time consumption by 60%. Finally, a prediction system for drilling pressure in underground bolt support is established. The algorithm's generalization capability is verified through the prediction of actual drilling pressure. Thus, this study provides a robust and efficient method for predicting drilling pressure in bolt support systems, potentially enhancing support efficiency significantly.
From Silica Leachate of Laterite Nickel Ore to Silicate Cathode Material: Preparation of Li2MnSiO4/C as Lithium- ion Battery Cathode Material by Two -Stage Roasting Method
Authors: Hou Zenglei , Chang Longjiao , Cai Kedi , Bi Xiaolong , Yang Wei , Wei Anlu , Yang Ruifen 
Published: October 2023

Abstract
To solve the world's environmental protection problems, new energy production methods and batteries with excellent energy storage efficiency are effective measures. Lithium-ion batteries (LIBs) occupy an important position in energy storage batteries, and their positive electrode materials are the focus of LIBs research and development. In this paper, by controlling different reaction conditions, spherical silica powders with smaller particle size (200 nm), better sphericity and superior performance were prepared from sodium silicate filtrate produced during the alkaline hydrothermal reaction of laterite nickel ore. Then, the optimum synthesis conditions of Li2MnSiO4/C cathode material were investigated by using the prepared silica powder as raw material by two-stage roasting method. The diffraction peak of the obtained sample is sharp, the degree of crystallization is good, and the diffraction peak of other substances is not found in the spectrum, indicating that the prepared Li2MnSiO4/C cathode material has high purity, and the stable capacity at 1 C current density is maintained at 110mAh/g, which is greatly improved compared with the ordinary Li2MnSiO4 (60 mAh/g). The cyclic charge-discharge curves of the material are similar, which also indicates that the material has good structural stability. The synthesis of Li2MnSiO4/C cathode material using laterite nickel ore filtrate as raw material is conducive to further compression of the preparation cost of lithium battery materials, and is also conducive to the full utilization of mineral resources. It is a new idea to combine upstream minerals with midstream materials, and provides a good structural support for energy structure and energy security.
Genomic landscape reveals evolutionary footprints of adaptability in Indian hill cattle
Authors: Ahmad S.F. , Aarif Ovais , Kumar Amit , Gaur Gyanendra Kumar , Ahmad Syed Mudasir , Shanaz Syed , Pampori Zahoor A , Ganai Nazir A , Dutt Triveni 
Published: October 2023

Abstract
The present study is aimed to assess the population structure of hill cattle and analyze the genomic footprints of selection and adaptation. The population structure and signatures of selection were analyzed in hill cattle in comparison to Indian milch, non-milch and exotic cattle populations, using Illumina high-density genotyping data. The present study used high-density SNP genotyping data generated on Illumina BovineHD SNP BeadChip on a total of 299 individuals representing 14 bovine populations across three groups i.e., Hill cattle (Ladakhi and Siri), Indian milch cattle (Sahiwal, Gir, Tharparkar), Indian non-milch cattle (Hariana, Hallikar, Kankrej, Ongole, and Vecheur) and exotic group (Holstein-Friesian, Jersey, Brown Swiss and Guernsey). The grouping of populations was based on utility, inheritance and characteristics related to the terrain of breeding tract. The final merged dataset included coverage on 4,68,671 common autosomal SNP markers after quality pruning using different thresholds. The population structure was assessed using principal component analysis and maximum likelihood-based TreeMix analysis while twin methods (iHS, and XP-EHH) were used to scan the whole genome for haplotype homozygosity statistics. Multiple chromosomes were observed to harbour SNPs under selective sweeps in different comparisons. TRIM44, SLC5A12, MYO1D and NAPB were important genes that showed overlap with SNP markers whose frequency was significantly different than overall hill cattle genome under selection. Various genes were found as part of selection footprints along multiple comparisons including U6, ADGRL3, RELN, DAP3, STO1, DNAJA2. A functional analysis of the genes harbouring SNPs under evolutionary pressure (as part of selection sweeps) was undertaken to gain deeper insights into the biological relevance of selection footprints. The genes as part of selection sweeps were mainly involved in important adaptation traits including cell-cell signalling, neuronal development, mitochondrial functioning, hyaluronidase functioning, ion-channel transport of solute and nutrients, and response to reactive oxygen species and other stressors. The present study provides detailed insights into the genomic landscape changes that are result of adaptation of hill cattle to agro-climatic conditions under which they are reared.
Targeting KCa3.1 channels to overcome erlotinib resistance in non-small cell lung cancer cells
Authors: Todesca Luca Matteo , Gerke Matthias , Bulk Emma Etmar , Bachmann Magdalena , Rudersdorf Alisa , Antonuzzo Lorenzo , Pillozzi Serena , Düfer Martina , Szabò Ildikò , Schwab Albrecht 
Published: October 2023

Abstract
Almost all non-small cell lung cancer (NSCLC) patients initially responding to EGFR tyrosine kinase inhibitors (TKIs) develop acquired resistance. Since KCa3.1 channels, expressed in mitochondria and plasma membrane, regulate similar behavioral traits of NSCLC cells as EGFR, we hypothesized that their blockade contributes to overcoming EGFR-TKI resistance. Meta-analysis of microarray data revealed that KCa3.1 channel expression in erlotinib-resistant NSCLC cells correlates with that of genes of integrin and apoptosis pathways. Using erlotinib-sensitive and –resistant NSCLC cells we monitored the role of mitochondrial KCa3.1 channels in integrin signaling by studying cell-matrix adhesion with single-cell force spectroscopy. Apoptosis was quantified with fluorescence-based assays. The function of mitochondrial KCa3.1 channels in these processes was assessed by measuring the mitochondrial membrane potential and by quantifying ROS production. Functional assays were supplemented by biochemical analyses. We show that KCa3.1 channel inhibition with senicapoc in erlotinib-resistant NSCLC cells increases cell adhesion by increasing β1-integrin expression, that in turn depends on mitochondrial ROS release. Increased adhesion impairs migration of NSCLC cells in a 3D matrix. At the same time, the senicapoc-dependent ROS production induces cytochrome C release and triggers apoptosis of erlotinib-resistant NSCLC cells. Thus, KCa3.1 channel blockade overcomes EGFR-TKI resistance by inhibiting NSCLC motility and inducing apoptosis.
A mixed infection of ITPase-encoding potyvirid and secovirid in Mercurialis perennis: evidences for a convergent euphorbia-specific viral counterstrike
Authors: Mahillon Mathieu , Brodard Justine , Dubuis Nathalie , Gugerli Paul , Blouin Arnaud G. , Schumpp Olivier 
Published: October 2023

Abstract
Background: In cellular organisms, inosine triphosphate pyrophosphatases (ITPases) prevent the incorporation of mutagenic deaminated purines into nucleic acids. These enzymes have also been detected in the genomes of several plant RNA viruses infecting two euphorbia species. In particular, two ipomoviruses produce replicase-associated ITPases to cope with high concentration of non-canonical nucleotides found in cassava tissues.
Method: Using high-throughput RNA sequencing on the wild euphorbia species Mercurialis perennis, two new members of the families Potyviridae and Secoviridaewere identified. Both viruses encode for a putative ITPase, and were found in mixed infection with a new partitivirid. Following biological and genomic characterization of these viruses, the origin and function of the newly-identified phytoviral ITPases were investigated.
Results: While the potyvirid was shown to be pathogenic, the secovirid and partitivirid could not be transmitted. The secovirid was found belonging to a proposed new Comovirinaegenus tentatively named "Mercomovirus", which also accommodates other viruses identified through transcriptome mining, and for which an asymptomatic pollen-associated lifestyle is suspected.
Homology and phylogenetic analyses inferred that the ITPases encoded by the potyvirid and secovirid were likely acquired through independent horizontal gene transfer events, forming lineages distinct from the enzymes found in cassava ipomoviruses. Possible origins from cellular organisms are discussed for these proteins.
Strikingly, the endogenous ITPase of M. perennis is predicted to encode for a C-terminal nuclear localization signal, which appears to be conserved among the ITPases of euphorbias but absent in other plant families. This particular subcellular localization is in line with the idea that the plant nucleic acids remain protected in the nucleus, while deaminated nucleotides accumulate in the cytoplasm where they act as antiviral molecules.
Conclusion: Three new RNA viruses infecting M. perennis are described, two of which encoding for ITPases. These enzymes have distinct origins, and are likely required by viruses to circumvent high level of cytoplasmic non-canonical nucleotides. This putative plant defense mechanism has emerged early in the evolution of euphorbias, and seems to specifically target certain groups of RNA viruses infecting perennial hosts.
Use of discarded corneo-scleral rims to re-create cornea-like tissue
Authors: Sharma Maryada , Kaur Subhpreet , Gupta Parul Chawla , Saikia Uma Nahar , Ram Jagat , Guptasarma Purnananda , Luthra-Guptasarma Manni 
Published: October 2023

Abstract
Background: Corneal disease is a major cause of blindness. Transplantation of cadaver-derived corneas (keratoplasty) is still the current therapy of choice; however, the severe global shortage of donor corneas continues to drive a search for alternatives. To this end, biosynthetic corneal substitutes have recently begun to gain importance. However, the less-than-satisfactory biomechanical properties of such bioengineered corneal substitutes have precluded their use in clinics. Here, we present a novel method for the generation of a cornea-like tissue (CLT), using corneo-scleral rims discarded after keratoplasty.
Methods and Results: Type I collagen was polymerized within the corneo-scleral rim, which functioned as a ‘host’ mould, directing the ‘guest’ collagen to polymerize into disc-shaped cornea-like material (CLM), displaying the shape, curvature, thickness, and transparency of normal cornea. This polymerization of collagen appears to derive from some morphogenetic influence exerted by the corneo-scleral rim. Once the CLM had formed naturally, we used collagen crosslinking to fortify it, and then introduced cells to generate a stratified epithelial layer to create cornea-like tissue (CLT) displaying characteristics of native cornea. Through the excision and reuse of rims, each rim turned out to be useful for the generation of multiple cornea-shaped CLTs.
Conclusions: The approach effectively helps to shorten the gap between demand and supply of CLMs/CLTs for transplantation. We are exploring the surgical transplantation of this CLT into animal eyes, as keratoprostheses, as a precursor to future applications involving human eyes. It is possible to use either the CLM or CLT, for patients with varying corneal blinding diseases.
Antibacterial activity and biocompatibility of magnesium oxide coating prepared on micro-arc oxidized titanium by electrophoretic deposition
Authors: Fan Xinli , Du Jiaheng , Li Yaohua , Xiao Dongqin , Yan Jiyuan , He Kui , Li Zhong , Duan Ke , Liu Gangli 
Published: October 2023

Abstract
Titanium (Ti) dental implants face risks of early failure due to bacterial adhesion and biofilm formation. It is thus necessary to endow the implant surface with antibacterial ability. In this study, magnesium oxide (MgO) coatings were prepared on Ti by combining micro-arc oxidation (MAO) and electrophoretic deposition (EPD). The MgO nanoparticles homogeneously deposited on the microporous surface of MAO-treated Ti, yielding increasing coverage with the EPD time increased to 15 to 60 s. After co-culture with Porphyromonas gingivalis for 24 h and 72 h, the coatings produced antibacterial rates of 4–53% and 39–79%, respectively. Electron and fluorescence microscopies revealed that, both the density of adherent bacterial adhesion on the surface and the proportion of viable bacteria decreased with the EPD time. The morphology of cells on the surface of each group was intact and there was no significant difference among the groups. These results show that, the MgO coatings deposited on MAO-treated Ti by EPD had reasonably good in vitro antibacterial properties and cytocompatibility.