bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the pressure relief law of diamond beaded rope saw cutting seam: a numerical investigation
Authors: Zhang Jianguo , Wang Xiaochuan , Ge Zhaolong , Wang Man , Wang Wei 
Published: November 2023

Abstract

As a new technology to mitigate the high outburst risk of the low permeability coal seam, it is essential to delve deeper into the law and mechanism of pressure relief associated with the diamond beaded rope saw slotting. The paper presents a numerical calculation model under small size that is based on the superimposed beam theory and the contact surface model. The model is compared with the experimental results of similar models in the laboratory to verify its applicability for simulating the numerical calculation of stress distribution in coal seam cut by diamond beaded rope saw. The study then goes on to investigate the influence of coal seam inclination, working face length, coal seam hardness, and seam advancing distance on the pressure relief effect of diamond beaded rope saw cutting seam under engineering scale. The mechanism of the diamond beaded rope saw cutting seam is also analyzed. The results indicate that the diamond beaded rope saw effectively reduces pressure in low permeability coal seams, with the impact range extending to the slit area. Additionally, stress concentration was observed at the front of the slit. Increasing the inclination of the coal seam, working face length, and advancing distance of the cutting seam enhances the pressure relief effect of the diamond beaded rope saw. The latter two factors’ influence is reflected in the parallel and advancing direction of the working face, respectively. Soft coal has been shown to respond better to this method than hard coal. This research is significant in promoting the widespread application of diamond beaded rope saws in the pressure relief of coal seam cutting.
Oscillatory Work and the Step that Generates Force in Single Myofibrils from Rabbit Psoas
Authors: Kawai Masataka , Iorga Bogdan 
Published: November 2023

Abstract
The elementary molecular step that generates force by cross-bridges (CBs) in an active muscle has been under intense investigation in the field of muscle biophysics. The question asked here is whether this step is before phosphate (Pi) release or after its release. It is known that an increase in the concentration of Pi ([Pi]) diminishes isometric force in Ca2+ activated fibers, indicating a tight coupling between the force-generating step and the Pi release step. We investigated the effect of Pi on oscillatory work production in single myofibrils and found that Pi-attached state(s) to CBs is essential for its production. Oscillatory work is the mechanism that allows an insect to fly by beating its wings, and it also has been observed in skeletal and cardiac muscle fibers, implying that it is an essential feature of all skeletal muscle types. With our studies, oscillatory work disappears in the absence of Pi in experiments using myofibrils. This suggests that force is generated during a transition between steps of oscillatory work production and that the states involved in its production must have Pi attached. With sinusoidal analysis, we obtained the kinetic constants around the Pi release steps, established a CB scheme, and evaluated force generated (and supported) by each CB state. Our results demonstrate that force is generated before Pi is released, and the same force is maintained after Pi is released. Stretch activation and/or delayed tension can also be explained with this CB scheme and forms the basis of force generation and oscillatory work production.
Cortical and white matter substrates supporting visuospatial working memory
Authors: Asano Eishi , Ueda Riyo , Sakakura Kazuki , Mitsuhashi Takumi , Sonoda Masaki , Firestone Ethan , Kuroda Naoto , Kitazawa Yu , Uda Hiroshi , Luat Aimee , Johnson Elizabeth , Ofen Noa 
Published: November 2023

Abstract
As school challenges intensify, they commonly increase in complexity. In tasks involving new visuospatial information, we rely on working memory, supported by a distributed brain network. We investigated the dynamic interplay between brain regions, including cortical and white matter structures, to understand how neural interactions change with different memory loads and trials, and their subsequent impact on working memory performance. Patients undertook a task of immediate spatial recall during intracranial EEG monitoring. We charted the dynamics of cortical high-gamma activity and associated functional connectivity modulations in white matter tracts. Elevated memory loads were linked to enhanced functional connectivity via occipital longitudinal tracts, yet decreased through arcuate, uncinate, and superior-longitudinal fasciculi. As task familiarity grew, there was increased high-gamma activity in the posterior inferior-frontal gyrus (pIFG) and diminished functional connectivity across a network encompassing frontal, parietal, and temporal lobes. Notably, early pIFG high-gamma activity was predictive of successful recall. Including this metric in a logistic regression model yielded an accuracy of 0.76. In summary, optimizing visuospatial working memory through practice is tied to early pIFG activation and decreased dependence on irrelevant neural pathways.
Simulation of a randomly percolated CNT network for an improved analog physical unclonable function
Authors: Yang Hyo-In , Lee Hanbin , Ko Jeonghee , An Yulim , Min Gyeongsu , Kim Dong Myong , Kim Dae Hwan , Bae Jong-Ho , Lim Mee-Hyun , Choi Sung-Jin 
Published: November 2023

Abstract
As the Internet of Things (IoT) continues to expand, research on an alternative encryption technology, the physically unclonable function (PUF), is increasing. Carbon nanotube (CNT) network-based PUFs have the great advantage of having a very simple process and being compatible with CMOSs, but since the randomness varies greatly depending on the process conditions, it is necessary to investigate various process parameters to have excellent PUF performance. For this purpose, we implemented a random CNT network using simulation and constructed an analog PUF with resistance values as data through numerous iterations. At this time, new evaluation methods were presented to compare the performance of the analog PUF, and the optimal point of PUF performance was identified by comparing the performance according to two process parameters, CNT density and metallic CNT ratio. Our study can serve as a guide for producing an optimized CNT PUF in the future after the CNT solution and processing method are clarified. This will be a PUF with a small footprint area, high CMOS compatibility, and superior security compared to a digital PUF.
Using network analysis to understand the association between menopausal and depressive symptoms: a survey study
Authors: Martin-Key Nayra A. , Funnell Erin L. , Benacek Jiri , Spadaro Benedetta , Bahn Sabine 
Published: November 2023

Abstract
Background
The menopause appears to heighten women's susceptibility to mental health issues, particularly depression. It has been proposed that depressive symptoms occurring throughout the menopause may be linked to specific menopause symptoms. Notably, previous studies have merely examined the severity and prevalence of menopausal and depressive symptoms using summed scores and/or individual item scores, as opposed to understanding how these symptoms interconnect and overlap. The aims of the current study were to: (i) use network analysis to explore the symptom structure and interconnectivity of a broad range of menopausal and depressive symptoms, and (ii) to compare the symptom structure of menopausal and depressive symptoms between the perimenopause and the post-menopause.
Methods
Online survey data from 858 respondents were analysed. Network analysis was used to explore the symptom structure of menopausal (as measured using the Menopause-specific Quality of Life (MENQOL) questionnaire) and depressive (as measured using the eight-item Patient Health Questionnaire (PHQ-8)) symptoms.
Results
A network was constructed comprising the 37 variables of interest (MENQOL: 29 symptoms; PHQ-8: 8 symptoms). Decreased stamina, decreased physical strength, feeling depressed, and change in sexual desire were the most central symptoms. The estimated network had a good level of stability (CS-strength = 0.75 and CS-influence = 0.75). The clique percolation analysis revealed 10 communities of symptoms. There were no significant differences in the network structure-distribution of edge weights or global strength between the peri- and post-menopausal groups.
Conclusions
The findings from this research suggest that addressing decreased stamina could prove instrumental in managing menopausal symptoms. Similarly, psychosocial symptoms were seen to be core symptoms of the menopause experience. Undoubtedly, the menopause is a multifaceted phase that encompasses not only physical changes but also significant psychological challenges, and recognising the holistic nature of the menopause experience is crucial for providing comprehensive care. The findings from the current study also underscore the importance of early intervention, particularly in the perimenopausal stage, where women may face additional barriers in accessing essential support. Early intervention not only aids in alleviating menopausal and depressive symptoms but also contributes to overall well-being during this significant phase of life.
MAX precision test of the Genome-wide association study under two-stage design
Authors: Song Yi , Wang Yun , Li Zheng-Bang , Xiong Wen-Jun , Zhou Ji-Yuan , Pan Dong-dong 
Published: November 2023

Abstract
One of the important topics in genetic statistics and medical research is the study of human complex diseases caused by multiple genes. With the development and completion of the Human Genome Project, many complex diseases have been discovered, and scientists have also identified some disease-causing genes, providing assistance and direction for the prevention, diagnosis, and treatment of multi-gene diseases in humans. Whole genome association studies are the most common approach used in the study of complex diseases in humans. This article adopts a case-control study design and combines the two-stage analysis MAX test joint analysis strategy with the two-stage design MAX exact test. It compares the MAX exact test method MaXact algorithm under the two-stage design with two similar methods, bootstrap parameter resampling and normal approximation, and the results show that the MaXact algorithm for MAX exact test under the two-stage design is much faster in calculating p-values than the bootstrap parameter resampling method. The calculation speeds of the normal approximation method and the MaXact algorithm are comparable, but considering factors such as the cost and workload of gene sequencing, the MaXact algorithm may achieve its effect. Subsequently, the paper further verifies the conclusions obtained through examples and briefly analyzes the results of the examples.
A Novel Radiomics Approach for Predicting TACE Outcomes in Hepatocellular Carcinoma Patients Using Deep Learning for Multi-organ Segmentation
Authors: Bartnik Krzysztof , Krzyziński Mateusz , Bartczak Tomasz , Korzeniowski Krzysztof , Lamparski Krzysztof , Wróblewski Tadeusz , Grąt Michał , Hołówko Wacław , Mech Katarzyna , Lisowska Joanna , Januszewicz Magdalena , Biecek Przemysław 
Published: November 2023

Abstract
Transarterial chemoembolization (TACE) represent the standard of therapy for non-operative hepatocellular carcinoma (HCC), while prediction of long term treatment outcomes is a complex and multifactorial task. In this study, we present a novel machine learning approach utilizing radiomics features from multiple organ volumes of interest (VOIs) to predict TACE outcomes for 252 HCC patients. Unlike conventional radiomics models requiring laborious manual segmentation limited to tumoral regions, our approach captures information comprehensively across various VOIs using a fully automated, pretrained deep learning model applied to pre-TACE CT images. Evaluation of radiomics random survival forest models against clinical ones using Cox proportional hazard demonstrated comparable performance in predicting overall survival. However, radiomics outperformed clinical models in predicting progression-free survival. Explainable analysis highlighted the significance of non-tumoral VOI features, with their cumulative importance superior to features from the largest liver tumor. The proposed approach overcomes the limitations of manual VOI segmentation, requires no radiologist input and highlight the clinical relevance of features beyond tumor regions. Our findings suggest the potential of this radiomics models in predicting TACE outcomes, with possible implications for other clinical scenarios.
Study on the effects of low protein diet on nitrogen utilization and urine metabolites in dairy cows
Authors: Ren Yaqiong , Wang Wenzhuo , Cai Li , Wang Yanming , Liu Xiaojing , Li Depeng , Zhang Qiaoe 
Published: November 2023

Abstract
Background
Dietary protein level and supplementation of rumen-protected lysine (RPLys) and rumen-protected methionine (RPMet) on nitrogen utilization and urine metabolites of dairy cows are very important in improving dairy production.
Results
The results showed that the cows in LP group had higher DMI than the HP group after 30d (P < 0.001) and 90d (P = 0.047). The nitrogen intake from the feed in the LP group was lower than HP after 30d (P = 0.014), 60d (P < 0.01), and 90d (P < 0.01). Compared to the HP group, the total nitrogen excretion was lower in the LP group after 30d (P = 0.003), 60d (P < 0.001), and 90d (P < 0.001). Cows fed with LP had a trend of higher nitrogen digestibility after 90d (P = 0.052) than cows fed with HP. The LP treatment increased the nitrogen utilization efficiency after 30d (P = 0.036), 60d (P = 0.023), and 90d (P = 0.021) when compared with HP. A total of 503 metabolites were detected in the urine of cows. Compared with HP, the LP group had 263 metabolites that were down-regulated and 240 metabolites that were up-regulated.
Conclusion
Feeding dairy cows with a low-protein diet supplemented with amino acids can decrease nitrogen excretion, improve nitrogen utilization efficiency, and show effects on protein digestion and absorption, energy supply and rumen microbiota through the regulation of L-tryptophan and L-alanine.
Simulation study on cathode structure optimization of aluminum alloy thin-walled internal spiral deep hole electrochemical machining
Authors: Tang Lin , Ren Zihan , Luo Qiuxia , Xue Runrong , Zhang Jingjing , Zhang Jun 
Published: November 2023

Abstract

In order to solve the problems of easily distort and poor surface quality in machining aluminum alloy thin-walled internal spiral deep hole parts, a precision forming electrochemical machining (ECM) method was proposed. In this paper, the physical model of the pull-type downstream and pull-type countercurrent cathode was established, the simulation study on the flow field of the pull-type downstream and pull-type countercurrent cathode gap was carried out. The inclination angle of the cathode liquid supply hole was optimized. The simulation results showed that the flow rate of the pull-type downstream cathode electrolyte is 21% higher than the pull-type countercurrent cathode, the flow field is more uniform when the inclination angle of the cathode liquid supply hole is 30°. Using the self-developed large-scale horizontal electrochemical machining equipment, under the conditions of voltage 7.5V, current 1850A, composite electrolyte 10%NaCl + 9%NaNO3, electrolyte temperature 30°C, inlet pressure 1.2MPa and cathode feed rate 100mm/min, the surface roughness of Ra0.741µm and the forming accuracy of 0.035mm aluminum alloy thin-walled inner spiral deep hole stable machining was completed. The research shows that the cathode structure optimization simulation can effectively shorten the cathode development cycle and reduce the test cost.
Deformation Mechanism and Influence of Surface Pumping Control in Shallow-Buried Tunnel in Water-rich Fully Weathered Granite
Authors: Zhang Junru , Chen Pengtao , Yan Zhijian , Ma Jianchi , Liu Yumeng , Jin Xuehui 
Published: November 2023

Abstract

Granite in a fully weathered state is highly sensitive to water and has poor water stability. Therefore, construction control presents significant challenges when building tunnels in such fully weathered granite formations with high water content. Based on this context and relying on the planned Beitouling Tunnel, this study employed geotechnical tests and numerical simulations to analyze the water sensitivity of fully weathered granite and the impact of surface pumping on the deformation of shallow-buried tunnels in such formations. The research findings indicate: (1) Weathered granite in the project area is highly water-sensitive, with decreasing mechanical properties as moisture rises. However, stress-strain characteristics are minimally affected. Granular composition sets conditions for sudden outbursts. (2) Lowering groundwater eliminates seepage within the "pumping funnel." Below the pumping curve, dense seepage vectors cause walls convergence and arch rise due to pumping forces. (3) Lowering the groundwater to the upper bench reduces tunnel vault settlement by over 50% compared to the initial level, yielding optimal control. At the middle bench, walls convergence rises by 9–13%. Lowering to the tunnel bottom increases arch rise by 23–36%.
The key phytochemical cue D(+)-camphor is a promising lure for traps monitoring the new monophagous camphor tree borer Pagiophloeus tsushimanus (Coleoptera: Curculionidae)
Authors: Chen Cong , Xu Tian , Li Shouyin , Xue Mingyu , Deng Yadi , Fan Binqi , Yang Chufeng , Hao Dejun 
Published: November 2023

Abstract

The landscape plant, Cinnamomum camphora, is a broad-spectrum insect-repelling tree species, mainly due to a diversity of terpenoids, such as D(+)-camphor. Despite its formidable chemical defenses. C. camphora is easily attacked and invaded by a monophagous weevil pest, Pagiophloeus tsushimanus. Deciphering the key olfactory signal components regulating host preference could facilitate the monitoring and control strategies for this insect pest. Herein, two host volatiles, D(+)-camphor and ocimene, can induce GC-EAD/EAG reactions in both male and female adult antennae. Correspondingly, Y-tube olfactometer assays showed that the two compounds were attractive to both male and female adults. In field assays, a self-made trap device baited with 5 mg dose D(+)-camphor captured significantly more P. tsushimanus adults than isopropanol solvent controls without sexual bias. The trunk gluing trap device baited with bait can capture adults, but the number is significantly less than that of the self-made trap device and adults often fall after struggling. The cross baffle trap device never traps adults. Neither ocimene nor isopropanol solvent control could capture adults. When used in combination, ocimene cannot enhance the attraction of D(+)-camphor to both female and male adults. These results indicate that D(+)-camphor is a key active compound of P. tsushimanus adults for the host location. The combination of the host-volatile lure based on D(+)-camphor and the self-made trapping device is promising to monitor and provide an eco-friendly control strategy for this novel pest P. tsushimanus in C. camphora plantations.
Brain volume loss in relapsing multiple sclerosis: Indirect treatment comparisons of available disease-modifying therapies
Authors: Zivadinov Robert , Keenan Alexander J. , Le Hoa H. , Ait-Tihyaty Maria , Gandhi Kavita , Zierhut Matthew L. , Salvo-Halloran Elizabeth M. , Ramirez Abril Oliva , Vuong Vivian , Singh Sumeet , Hutton Brian 
Published: November 2023

Abstract

Background
Brain volume loss (BVL) has been identified as a predictor of disability progression in relapsing multiple sclerosis (RMS). As many available disease-modifying treatments (DMTs) have shown an effect on slowing BVL, this is becoming an emerging clinical endpoint in RMS clinical trials.
Methods
In this study, a systematic literature review was conducted to identify BVL results from randomized controlled trials of DMTs in RMS. Indirect treatment comparisons (ITCs) were conducted to estimate the relative efficacy of DMTs on BVL using two approaches: a model-based meta-analysis (MBMA) with adjustment for measurement timepoint and DMT dosage, and a network meta-analysis (NMA).
Results
In the MBMA, DMTs associated with significantly reduced BVL versus placebo at two years included fingolimod (mean difference [MD] = 0.25; 95% confidence interval [CI] = 0.15–0.36), ozanimod (MD = 0.26; 95% CI = 0.12–0.41), teriflunomide (MD = 0.38; 95% CI = 0.20–0.55), alemtuzumab (MD = 0.38; 95% CI = 0.10–0.67) and ponesimod (MD = 0.71; 95% CI = 0.48–0.95), whereas interferons and natalizumab performed the most poorly. The results of NMA analysis were generally comparable with those of the MBMA.
Conclusions
Limitations of these analyses included the potential for confounding due to pseudoatrophy, and a lack of long-term clinical data for BVL. Our findings suggest that important differences in BVL may exist between DMTs. Continued investigation of BVL in studies of RMS is important to complement traditional disability endpoints, and to foster a better understanding of the mechanisms by which DMTs can slow BVL.
Comparative analyses of complete plastid genomes from seven representative species of Convallarioideae (Asparagaceae)
Authors: Chen Xing-Ru , Wu Shao-De , Nie Ze-Long , Wen Jun , Meng Ying 
Published: November 2023

Abstract
Background
Convallarioideae is a subfamily of Asparagaceae, a morphologically diverse group comprising 7 tribes (i.e., Eriospermeae, Rusceae, Dracaeneae, Nolineae, Convallarieae, Ophiopogoneae, and Polygonateae) and two unclassified genera.
Methods and Results
In this study, we conducted comparative chloroplast genomic and phylogenetic analyses on seven species, representing seven lineages of the tribe. The results showed that all genomes exhibited a conserved quadripartite structure with two inverted repeat regions (26,261 − 26,522 bp) separated by a large single-copy region (83,007–85,692 bp) and a small single-copy region (18,205 − 18,707 bp). Each genome contains 137 unique genes, including 87 protein-coding genes, 38 transfer RNA, and 8 ribosomal RNA genes. Furthermore, we detected 33–61 simple sequence repeats in six categories and 39–57 long repeats in four categories. We selected eleven divergent hotspots for potential molecular markers. Phylogenetic analysis revealed that all the tribes are strongly supported except for Polygonateae, but weak supports were observed among the main lineages within the subfamily.
Conclusions
The use of the complete chloroplast genomes provides useful implications for a better understanding on the chloroplast evolution on Convallarioideae.
Preparation and tribological behavior of N-doped graphene oxide quantum dots with MoS2 and Al2O3 nanocomposites as lubricant additive in aqueous glycerol
Authors: Xiong Sang , He Jiaqi , Wang Chenglong 
Published: November 2023

Abstract
N-doped graphene oxide quantum dots (NGOQDs) with MoS2 and Al2O3 nanocomposites were prepared by solvothermal method. The morphology and the composition and structure of the prepared composites was characterized by TEM, XRD, Raman, ATR-FTIR and XPS. Tribological behavior of NGOQDs-MoS2 and NGOQDs-Al2O3 nanocomposites as lubricant additive in aqueous glycerol were studied. Through experiments and MD simulations, the tribochemistry-induced lubrication mechanism was disclosed. The results shows that the combination of NGOQDs and hydrated glycerol can significantly improve lubrication performance, and the addition of NGOQDs-MoS2 and NGOQDs-Al2O3 nanoparticles can further improve tribological properties. The formation of a tribofilm through tribochemical induced lubrication mechanism improves the wear resistance of metal surfaces.