bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application Research on Groundwater-level Rise and Diversion Measures in Subway Station Operation Period Based on Similar Physical Models
Authors: Guo Jianmin , Zeng Chunpin , Hu Tao , Gao Yang , Li Xin , Jia Chao , Huang Xue 
Published: September 2023

Abstract

Blocking seepage channels in underground engineering construction can easily cause changes in groundwater level and lead to a series of problems of deterioration of the geological environment. This paper uses the physical model test system and the preparation method of the corresponding stratum similar materials to carry out the physical model test of the application of the water fluctuation and diversion measures represented by the subway station. In this way, the excavation process of the subway structure is restored and the influencing factors of the water level fluctuation are studied. Firstly, according to the similarity theory, clay-similar, sand-similar and rock-similar materials were prepared using sand, clay, blanc fixe, iron powder and other raw materials. The simulation of six test conditions under four hydraulic gradient conditions was carried out, and then the solution of water-level fluctuation was proposed and tested. Finally, the influencing factors of water-level fluctuation are analyzed. The results of the study show that the largest water-level fluctuation occurs at the monitoring points on the upstream surface. The diversion measures adopted in this paper have obvious effect on the relief of water level yong height. The measured variation of water level in this experimental environment is 0.54m.
Optimization of Heat Treatment Cycle for Cast-Al6082 Alloy to Enhance the Mechanical Properties
Authors: Singh Pushpraj , Singh Raj Kumar , Das Anil Kumar 
Published: September 2023

Abstract
The present study focused on optimizing the heat treatment cycle for the Al6082 alloy, which is commonly used in the aerospace, automotive, and construction industries. The optimization process consisted of two steps: optimizing the solution and artificial ageing treatments. The as-cast Al6082 alloy samples were solutionised at 480°C, 495°C, and 510°C for 6, 8, and 10 hours, respectively, and quenched in paraffin oil at room temperature (RT). The optimal solution treatment was at 495°C for 8 hours. The optimization of artificial ageing treatment of the optimal solution-treated samples was performed at temperatures of 160°C, 175°C, 190°C, 205°C, and 220°C for 4, 6, and 8 hours, respectively. Microstructural analysis, mechanical characterization, i.e. (tensile strength, % elongation, hardness, and impact strength), and fractography analysis of tensile samples were carried out. The results showed that the optimal ageing cycle was obtained at 205°C for 6 hours. Optimized conditions improved tensile strength (154 MPa to 280 MPa) and hardness (65 BHN to 102 BHN) while slightly increasing the impact energy. However, the % elongation decreased. The study emphasizes the importance of optimizing the heat treatment cycle to meet the desired properties and application requirements of the Al6082 alloy.
Effect of Treadmill exercise on IGF-1 Signaling Associated with Muscle Regeneration and Exercise Performance in Aging Mice
Authors: Kim Taewan , Jin Youngyun , Kim Joohyung , Woo Sanggu , Kim Donghyun 
Published: September 2023

Abstract
Aging refers to the natural processes of birth, growth, and aging. As aging progresses, the functional ability of muscles gradually decreases, leading to loss of muscle mass and reduced exercise performance, referred to as sarcopenia. Sarcopenia is closely associated with weakness, osteoporosis, and degenerative diseases. It is related to the risk of falls, fractures, weakness, metabolic diseases, and death owing to limitations of physical performance in the elderly. Sarcopenia is influenced by complex factors, such as lifestyle, smoking, nutritional imbalance, and changes associated with aging. In this study, we aimed to investigate the biological mechanisms affecting protein expression and exercise performance in aging mice to identify the biological factors related to sarcopenia. The results showed that the Aged-Con group showed decreased muscle strength and muscle fiber size, as well as decreased exercise performance. Further, IGF-1 signaling was reduced in the Aged-Con group. In contrast, reduced IGF-1 signaling was alleviated in the Aged-Exe group; the decreased muscle size and exercise performance were also alleviated in the Aged-Exe group. Overall, these findings suggest that regular moderate exercise can prevent aging-induced sarcopenia and improve exercise performance.
Data-Free Knowledge Distillation via Generator-Free Data Generation for Non-IID Federated Learning
Authors: Zhao Siran , Liao Tianchi , Fu Lele , Chen Chuan , Bian Jing , Zheng Zibin 
Published: September 2023

Abstract
Data heterogeneity (Non-IID) on Federated Learning (FL) is currently a widely publicized problem, which leads to local model drift and performance degradation. Because of the advantage of knowledge distillation, it has been explored in some recent work to refine global models. However, these approaches rely on a proxy dataset or a data generator. First, in many FL scenarios, proxy dataset do not necessarily exist on the server. Second, the quality of data generated by the generator is unstable and the generator depends on the computing resources of the server. In this work, we propose a novel data-Free knowledge distillation approach via generator-Free Data Generation for Non-IID FL, dubbed as FedF2DG. Specifically, FedF2DG requires only local models to generate pseudo datasets for each client, and can generate hard samples by adding an additional regularization term that exploit disagreements between local model and global model. Meanwhile, FedF2DG enables flexible utilization of computational resources by generating pseudo dataset locally or on the server. And to address the label distribution shift in Non-IID FL, we propose a Data Generation Principle that can adaptively control the label distribution and number of pseudo dataset based on client current state, and this allows for the extraction of more client knowledge. Then knowledge distillation is performed to transfer the knowledge in local models to the global model. Extensive experiments demonstrate that our proposed method significantly outperforms the state-of-the-art FL methods and can serve as plugin for existing Federated Learning methds such as FedAvg, FedProx, etc, and improve their performance.
Determination of Urotensin Ii Levels Before and After Lsg in Patients With Obesity
Authors: Binnetoglu Damla , Binnetoglu Kenan , Yayla Muhammed 
Published: September 2023

Abstract
Purpose
The goal of this study is to measure and compare the levels of UII in adipose tissue and serum in obese and non-obese individuals.
Methods
This study is to measure and compare the levels of UII in adipose tissue and serum in obese and non-obese individuals. Blood samples taken from clinically severe patients with obesity before sleeve gastrectomy and adipose tissue samples taken during surgery were examined. UII and biochemical parameters were analyzed on blood samples taken from patients whose BMI decreased to normal limits after surgery (6 months later) and on adipose tissue from people with normal BMI.
Results
The serum UII levels of the POSTOP group decline compared to the PREOP. The tissue UII levels in the PREOP group was statistically significantly higher than in Group C. It was observed that the serum UII levels of the patients who achieved normal BMI with sleeve gastrectomy were lower than before the surgery. Individuals with serum UII levels below 46.88 and tissue UII levels below 202.87 were found to be unsuitable for sleeve gastrectomy, whereas those with values above this cut off were found to be more suitable.
Conclusions
The decrease in UII levels in individuals with normal BMI after LSG surgery and the difference in UII between individuals with normal BMI and obese indicate that UII has an important role in obesity.
Microbiome transmission through the ontogeny of the marine sponge Crambe crambe
Authors: Turon Marta , Ford Madeline , Maldonado Manuel , Sitjà Cèlia , Riesgo Ana , Díez-Vives Cristina 
Published: September 2023

Abstract
Background
Poriferans (sponges) are highly adaptable organisms that can thrive in diverse marine and freshwater environments due, in part, to their close associations with microbial communities. This sponge microbiome can be acquired from the surrounding environment (horizontal acquisition) or transferred to offspring during the reproductive process through a variety of mechanisms (vertical transfer), typically resulting in the presence of symbiotic microbes throughout all stages of sponge development. How and to what extent the different components of the microbiome are transferred to the developmental stages remain poorly understood. Here, we assess the microbiome composition of a common, low-microbial-abundance, Atlantic-Mediterranean sponge, Crambe crambe, along its ontogeny, including adult individuals, brooded larvae, lecithotrophic free-swimming larvae, newly settled juveniles still lacking osculum, and juveniles with a functional osculum for filter feeding.
Results
Using 16S rRNA gene analysis, we detected distinct microbiome compositions in each ontogenetic stage, with variations in the presence, relative abundances and diversity of microbial species. However, one particular dominant symbiont from the Gammaproteobacteria class was consistently present throughout all stages, suggesting its vertical transmission from parents to offspring. This symbiont fluctuated in relative abundance across developmental stages, with pronounced prevalence in lecithotrophic stages, constituting over 70% of the microbiome. A significant shift in microbial composition occurred as juveniles developed filter-feeding capacity, coinciding with osculum formation, marking the restoration of the adult microbiome. Microbial diversity peaked during filter-feeding stages, contrasting with lower diversity during lecithotrophic stages before filter feeding initiation. Furthermore, individual specific transmission patterns were detected, with greater similarity between larvae and their respective parents compared to conspecific parents.
Conclusions
These findings highlight the vertical transmission of a dominant symbiont, possibly playing a metabolic role during non-filtering developmental stages of C. crambe. The increased microbiome diversity during filter-feeding stages likely reflects enhanced interaction with environmental microbes, promoting horizontal transmission. Conversely, lower microbiome diversity in lecithotrophic stages, prior to filter feeding, suggests incomplete symbiont transfer or potential symbiont digestion. This research provides novel information on the dynamics of the microbiome during sponge development, on the symbiont acquisition strategies at each developmental stage, and on the potential importance of symbionts during larval development.
ZnFe2O4 Nanoparticles for Gas-Sensing Applications: Monitoring of Structural Parameters while Exposing the Ferrite in Gas Atmospheres
Authors: Abdulhamid Zeyad M. , Dabbawala Aasif A. , Delclos Thomas , Straubinger Rainer , Rueping Magnus , Polychronopoulou Kyriaki , Anjum Dalaver H. 
Published: September 2023

Abstract
ZnFe2O4 materials are promising for several applications, including catalysis, sensors, and supercapacitors. This paper presents a hydrothermal-based facile method for synthesizing ZnFe2O4, whose size can be controlled with the concentration of sodium acetate used as a fuel. The characterization of the morphology, structure, composition, and electronic properties of the synthesized samples is also presented in this paper. The crystal structure of the synthesized samples was determined using an X-ray Diffractometer (XRD). The results revealed fluctuations in the size, lattice parameter, and strain in the nanoparticles with increasing the concentration of sodium acetate fuel. Field-Emission Scanning Electron Microscopy (FESEM) was used to determine the morphology and elemental composition of synthesized materials, and it revealed that the particles in synthesized samples possessed approximately spherical morphology whose size decreased significantly with the increasing amount of sodium acetate. Transmission Electron Microscopy (TEM) was utilized to determine the structure, morphology, and elemental distributions in particles at the nanoscale, and it confirmed the findings of XRD and FESEM analyses. The high-resolution TEM (HRTEM) imaging analysis of the nanoparticles in samples revealed that the particles predominantly possessed (001) type facets. X-ray photoelectron spectroscopy (XPS) and core-loss electron energy loss spectroscopy (EELS) showed an increasing fraction of Fe2+ with the decreasing size of the particles in samples. The Brunauer, Emmett, and Tellers (BET) analysis of samples revealed a higher surface area as the particle size decreases. In addition, the determined surface area and pore size values are compared with the literature, and it was found that the synthesized materials are promising for gas-sensing and supercapacitor applications. The ab initio calculations of the Density of States (DOS) and Band structure of (001) surface terminating ZnFe2O4 particles were carried out using Quantum Espresso software to determine the bandgap of the synthesized samples. They were compared to the experimentally determined bandgap values for the corresponding samples. Finally, in-situ TEM measurement was carried out on one sample and revealed that the d-spacing of ZnFe2O4 NPs showed a noticeable fluctuation reaching more than 5% upon exposure to CO2 and Ar gases. It is concluded from the presented study that the reduction in the size of the nanoparticles provides more active sites due to a higher concentration of oxygen vacancies and tunes the bandgap.
The Impact of Surface Passivation on Kapitza Resistance at the Interface between a Semiconductor and Liquid Nitrogen
Authors: Mohammadian Babak , McCulloch Mark Anthony , Sweetnam Thomas , Gilles Valerio , Piccirillo Lucio 
Published: September 2023

Abstract
Cooling electronic devices to cryogenic temperatures (< 77 K) is crucial in various scientific and engineering domains. Efficient cooling involves the removal of heat generated from these devices through thermal contact with either a liquid cryogen or a dry cryostat cold stage. However, as these devices cool, thermal boundary resistance, also known as Kapitza resistance, hinders the heat flow across thermal interfaces, resulting in elevated device temperatures. In transistors, the presence of passivation layers like Silicon Nitride (SiN) introduces additional interfaces that further impede heat dissipation. This paper investigates the impact of passivation layer thickness on Kapitza resistance at the interface between a solid device and liquid nitrogen. The Kapitza resistance is measured using a capacitance thermometer that has been passivated with SiN layers ranging from 0 to 240 nm. We observe that Kapitza resistance increases with increasing passivation thickness.
MBIP promotes ESCC metastasis by activating MAPK pathway
Authors: Yanchun Ma , Yuyan Hua , Ye Jiao , Enwei Xu , Ting Yan , Jian Yang , Ling Zhang 
Published: September 2023

Abstract
Background
MBIP has been identified as a susceptibility gene in several cancers. However, the role and molecular mechanism of MBIP in ESCC remain unclear.
Methods
The association between MBIP expression and clinical factors in ESCC was analyzed by t-test, chi-square test and Cox regression analysis. The biological function of MBIP was investigated by MTT assay, colony formation assay, Transwell assay, flow cytometry and mouse xenograft assay. The potential molecular mechanism was studied by RNA-seq, qRT-PCR and western blotting.
Results
The expression level of MBIP in ESCC was higher than that in normal tissue (P < 0.05). Functionally, MBIP overexpression promoted migration and invasion in vitro and in vivo, whereas MBIP knockdown played the opposite role. In addition, we elucidated the possible molecular mechanisms of MBIP in ESCC, whereby MBIP promotes EMT via the phosphorylation JNK/p38 in ESCC.
Conclusions
This study revealed that MBIP plays an important role in the prognosis and metastasis of ESCC. MBIP might serve as an ESCC prognostic biomarker.
Biology and morphological description of Conopomorpha sinensis Bradley (Lepidoptera: Gracillaridiae): a serious pest of litchi
Authors: Siraj Masrat , Singh Sandeep , Jindal Jawala 
Published: September 2023

Abstract
Conopomorpha sinensis Bradley (Lepidoptera: Gracillariidae) is a serious pest of litchi. After hatching, the larvae immediately entre into the fruit, pierce its peduncle, and feed on the soft tissue within. This leads to poor fruit quality and fruit drop after infestation. Understanding the life history and identification characters of C. sinensis is, therefore essential for developing effective management strategies. In order to perform different research studies on this pest, a study was done to first standardize the laboratory rearing procedures for C. sinensis in 2021 and 2022. Insect rearing cages was developed where fresh litchi fruits and 10 per cent honey solution were employed as food for larvae and adults. Results indicated that C. sinensis can be reared successfully under controlled conditions at 25 ± 2°C temperature with high relative humidity (75–85%) RH. Significant difference was observed in number of eggs laid on different treatments provide in the multi choice condition. Laboratory-reared female moths laid on an average 82.2 ± 1.87 yellowish transparent eggs, in an ordered manner. Observations on pupation showed that C. sinensis always tend to pupate on the paper cards with folded angles. C sinensis completed its life cycle in 32.75 ± 0.9 and 30.8 ± 0.70 days under field and laboratory condition, respectively. C. sinensis adult and pupae showed remarkable sexual dimorphisms. This study provides baseline information about the rearing techniques, biology and morphological identification of C. sinensis. Apart from being an important reference point for future research on the litchi fruit borer, the data provided would aid C. sinensis management decision-making
Birth weight and premature ovarian insufficiency: A Systematic Review and Meta-analysis
Authors: Jiang Chengyang , Gao Tongqing , Wang Yuwei , Yang Wenqiang , Yang Xinghai 
Published: September 2023

Abstract
Objective
In clinical work, it has been found that low birth weight will affect the ovarian function of women in adulthood, and may cause premature ovarian insufficiency, but there is no clear conclusion on this issue. We designed this meta-analysis to summarize the current evidence on the relationship between birth weight and premature ovarian insufficiency.
Methods
We performed a systematic review of the literature by searching MEDLINE, EMBASE, Web of Science, Scopus, Wanfang and CNKI up to August 2023. Data were combined using inverse-variance weighted meta-analysis with fixed and random effects models and between-study heterogeneity evaluated. We evaluated risk of bias using the Newcastle Ottawa Scale and using Egger’s method to test publication bias.
Results
Five articles were included in the review. Most of the studies were from North America and European countries, and most of the articles had a low risk of bias. A total of 2248594 women were included, including 21,813 (1%) cases of premature ovarian insufficiency, 150743 cases of low birth weight, and 220703 cases of macrosomia. We found strong evidence that low birth weight is associated with an increased risk of premature ovarian insufficiency (OR = 1.15, 95%CI 1.09–1.22) in adulthood compared with normal birth weight, and no evidence of heterogeneity was found. No effect of macrosomia on premature ovarian insufficiency was found.
Conclusions
Our meta-analysis showed strong evidence of an association between low birth weight and premature ovarian insufficiency. We should strengthen nutrition during pregnancy to avoid premature ovarian insufficiency caused by low birth weight.
Comparison of three dimensional gradient-echo sequences with conventional two dimensional sequences to assess the image quality of shoulder joint in magnetic resonance imaging
Authors: Shirani Shapoor , Mousavi Najmeh-Sadat , Talib Milad Ali , gharehbagh Elahe Jazayeri , Bagheri Mohammad Ali , Hameed Qasim Abdulsahib Jaafar , Dehghani Sadegh 
Published: September 2023

Abstract
Background: Three-dimensional gradient-echo (3D-GRE) sequences provide isotropic or nearly isotropic 3D images, leading to better visualization of smaller structures, compared to two-dimensional (2D) sequences. The aim of this study was to prospectively compare 2D and 3D-GRE sequences in terms of key imaging metrics, including signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), glenohumeral joint space, image quality, artifacts, and acquisition time in shoulder joint images, using 1.5 T MRI scanner.
Methods: Thirty-five normal volunteers with no history of shoulder disorders underwent a shoulder MRI examination with conventional 2D sequences, including T1- and T2-weighted fast spin-echo (T1/T2w FSE) as well as proton density-weighted fast spin-echo with fat saturation (PD-FS) followed by 3D-GRE sequences including VIBE, TRUEFISP, DESS, and MEDIC techniques. Two independent reviewers assessed all images of the shoulder joints. Intra- and inter-observer agreement, were quantified using kappa statistics.
Results: Among 3D-GRE sequences, TRUEFISP showed significantly the best CNR between cartilage-bone (30.12, p = 0.001) and cartilage-muscle (12.98, p = 0.01). TRUEFISP also showed the highest SNR for cartilage (41.40, p = 0.01) and muscle (28.33, p = 0.001). Furthermore, 3D-GRE sequences showed significantly higher image quality, compared to 2D sequences (p < 0.001). Moreover, the acquisition time of the 3D-GRE sequences was considerably shorter than the total acquisition time of PD-FS sequences in three orientations (p<0.01).
Conclusions: 3D-GRE techniques provided shoulder joint imaging with significantly higher image quality, compared to 2D sequences. Among 3D sequences, TRUEFISP showed significantly the best CNR between cartilage-bone and cartilage-muscle, as well as the highest SNR for cartilage and muscle, compared to other sequences. Moreover, 3D-GRE could take a shorter acquisition time than the total acquisition time of 2D PD-FS techniques in three planes.
Boundary metric of Epstein-Penner convex hull and discrete conformality
Authors: Nie Xin 
Published: September 2023

Abstract
The Epstein-Penner convex hull construction associates to every decorated punctured hyperbolic surface a polyhedral convex body in the Minkowski space. It works in the de Sitter and anti-de Sitter spaces as well. In these three spaces, the quotient of the spacelike boundary part of the convex body has an induced Euclidean, spherical and hyperbolic metric, respectively, with conical singularities. We show that this gives a bijection from the decorated Teichm\"uller space to a moduli space of such metrics in the Euclidean and hyperbolic cases, as well as a bijection between specific subspaces of them in the spherical case. Moreover, varying the decoration of a fixed hyperbolic surface corresponds to a discrete conformal change of the metric. This gives a new $3$-dimensional interpretation of discrete conformality which is in a sense inverse to the Bobenko-Pinkall-Springborn interpretation.