bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization on welding layout of scroll compressor shell based on vibration noise
Authors: Ma Haoran , Wei Xichu , Lang Xianming , Xu Zhihui , Wang Zhen 
Published: February 2025

Abstract
One of the key indicators for assessing scroll compressor quality is noise, primarily attributed to vibration noise. In addressing the significant influence of welding layout on the vibration noise of scroll compressor shells, this study employed vibration mode analysis to determine the optimal welding seam position. A combination of simulation analysis and noise experiments was then utilized to investigate the effect of this position on vibration noise. By establishing a dynamic model of the compressor and analyzing the time-domain characteristics of the excitation force, the loading conditions for the finite element model were derived. Furthermore, the frequency-domain characteristics of the shell’s vibration acceleration were examined, revealing the interaction between acceleration and the layout of the weld seams. These findings were validated through noise experiments. The study concluded that avoiding welding seams near structural openings significantly reduces vibration acceleration, reducing both vibration and noise. This approach offers a solution for enhancing the noise quality of scroll compressors.
Research on strength reliability improvement of a high-speed cam based on stress-strength interference theory
Authors: Wang Shuman , Gu Bin , Zhang Fanfan , Zhang Pengfei 
Published: February 2025

Abstract
To realize the control of high speed, heavy load, and intermittent motion law, the rotary bore automatic machine often adopts the “herringbone” cylindrical roller cam mechanism. Under the high-speed transient impact, the stress in the curved groove and commutator of the cam mechanism is on the high side, and it is easy to cause structural damage. In the past, deterministic models are often established without considering the influence of randomness such as load and materials on structures. Based on the stress-strength interference theory, considering the random characteristics of structural clearance material and load, the strength reliability of the cam mechanism is evaluated. The results show that the strength reliability of curved grooves and commutator structures is low. By optimizing the curvature of the curved groove and commutator transition part, the stress level of the curved groove and commutator is effective, and the reliability of the cam mechanism is improved. This has important reference significance for carrying out the strength reliability improvement of similar problems.
A study on the corrosion resistance of t-shaped bolts in modular equipment cabins of multiple units under different repair processes
Authors: Liu Zijing , Kou Huaizhi , Su Yunhai 
Published: February 2025

Abstract
The corrosion of T-bolts in the modular equipment compartment of the high-speed train unit caused by its environmental impact greatly affects operational safety and reduces transportation efficiency. In order to restore safe operating speed and improve transportation efficiency, it is necessary to conduct disease-cause analysis and treatment. This article analyzes and explains the corrosion of the T-bolts in the modular equipment compartment of the high-speed train unit, and adopts the zinc infiltration method and Dacromet method as repair processes. Salt spray corrosion experiments, thermal shock corrosion experiments, and electrochemical experiments are conducted on the original parts, zinc infiltrated parts, and Dacromet parts to simulate the actual application conditions of T-bolts. The results indicate that the corrosion of T-bolts is caused by alkaline environments and is divided into two types: T-bolt head corrosion and T-bolt thread corrosion. The Dacromet process treatment of T-shaped bolts improves their corrosion resistance, thereby achieving the reuse of T-shaped bolts.
Analysis and research on deformation of vacuum brazed fin of finned part
Authors: Li Heng 
Published: February 2025

Abstract
Based on the analysis of the aluminum alloy finned case, the deformation of the finned part was simulated by the UG NX finite element module, and the temperature range of the vacuum brazing was determined. On this basis, according to the process flow and the determined welding temperature interval, the trial production of aluminum alloy finned chassis was carried out. After vacuum brazing, the chassis size, shape, and position tolerance met the design requirements, the weld quality met the product requirements, and the vacuum brazing welding temperature was verified.
Research on the aerodynamic characteristics of simulated ice-covered aluminum stranded wire under wind tunnel
Authors: Zhao Mingguan , Li Meng , Ou Yang , Wan Yuanhao , Hai Yang , Li Yujie 
Published: February 2025

Abstract
This study studied the aerodynamic characteristics of a wire through wind tunnel experiments. The purpose of simulating icing conditions by wrapping conductors with plastic packaging tape is to evaluate the influence of icing on the aerodynamic characteristics of transmission lines. The tension and aerodynamic coefficients of aluminum-stranded wire and simulated ice-covered aluminum-stranded wire are tested using a wind tunnel. The results indicate that the increase in wind speed causes an increase in tension and drag coefficient. It is also found that icing significantly enhances the aerodynamic effect of the cable. This has guiding significance for the design and maintenance of transmission lines.
Research on recognition and localization of workpieces on rotating body surfaces based on vision recognition algorithm
Authors: Guan Peng , Lin Renliang , Feng Zehao , Chen Jiaying 
Published: February 2025

Abstract
Due to the rotary workpiece on the transmission mechanism in the welding automatic production line entering the next process from a certain process, a certain rotation offset will occur along the axis direction, resulting in inaccurate positioning, which in turn reduces the surface machining accuracy of the rotary body. Hence, this paper proposes a positioning method based on visual recognition. Firstly, the industrial monocular array camera is used to collect the surface image of the rotating body, and the image feature information is identified and extracted to calibrate the camera. Then, based on the shape-based template matching method, the processed image information is compared and corrected with the required position information of the workpiece, and the judgment is made in combination with the surface area feature information of the workpiece. Finally, the deviation information is transmitted to the control mechanism for correction. For workpieces of 32 mm, 45 mm, 78 mm, and 96 mm. The experimental results show that the positioning accuracy can be achieved within 20 degrees of rotation of the workpiece along the axis, and the maximum offset error is only 0.5 degrees.
Numerical simulation of the protective properties of ceramic/fiber composite ballistic materials
Authors: Xu Chuang , Ji Weichang , Lu Chunrui 
Published: February 2025

Abstract
With the development of technology, bulletproof vests need to have better impact resistance, but the experiment is difficult, costly, and dangerous. Using ANSYS finite element software is an effective alternative. This paper focuses on the impact resistance of composite materials composed of boron carbide ceramics and UHMWPE ultra-high molecular weight polyethylene fibers, respectively, to change the thickness of the two materials to get the effect of the target plate thickness on the performance of the material target plate. Finally, the obtained boron carbide ceramic thickness of 14mm and fiber thickness of 12mm, that is, 24 layers, allowed the material target plate to effectively intercept the bullet, which is in line with expectations.
The effect of printing parameters on the properties of PCL scaffolds prepared by pneumatic extrusion method
Authors: Huang Lin , Zhang Fan , Yuan Pengwei , Yuan Jiangshan 
Published: February 2025

Abstract
3D printing technology has been widely used in tissue engineering applications. Through this technology, tissue engineering scaffolds with complex shapes, variable pore sizes, and certain personalization can be precisely designed to provide an ideal microenvironment for cell attachment, proliferation, and differentiation. In this paper, based on the dual-stage heating nozzle structure designed by the pneumatic extrusion method, we investigated the effects of printing parameters (e.g., gas pressure level, printing speed, and second-stage heating temperature) on the characteristics of PCL scaffolds. Analysis of the results of the one-factor experiments shows that the printing parameters have a significant effect on the line width and pore size of the scaffolds, and the optimal printing parameters for the geometrical characteristics of the prepared PCL scaffolds are the gas pressure size of 0.4 MPa, the printing speed of 1.25 mm/s, and the second-stage heating temperature of 90°C. The results of the single-factor experiments show that the printing parameters have a significant effect on the line width and pore size of the scaffolds. These results lay the foundation for further optimizing the printing conditions for the preparation of PCL scaffolds based on pneumatic extrusion.
Study on the synthesis and properties of highly dispersed and high slump-resistant polycarboxylate superplasticizer
Authors: Lai Huazhen 
Published: February 2025

Abstract
The first polymer containing phosphate groups was prepared by esterification of polyacrylic acid with polyethylene glycol phosphate. The second polymer was prepared by copolymerizing ethylene glycol monovinyl polyethylene glycol ether with hydroxy butyl phosphate methacrylate and acrylic acid. Then, the first and second polymers were uniformly mixed in proportion to prepare the highly dispersed and high-slump-resistant polycarboxylate superplasticizer (PCE-P). The structure of PCE-P was characterized by infrared spectroscopy (FTIR) gel chromatography (GPC) and concrete experiments. The results show that PCE-P can be used to control the construction performance of high adsorption machine-made sand concrete, and has strong practical value and broad market prospects.
Diamond anisotropic surface transformation and its effect on the interfacial microstructure of al/diamond composites
Authors: Jin Kang , Ding Jingen , Liang Junning , Ma Xiaoxin , Guo Pingan , Chen Lin , Zhang Yang 
Published: February 2025

Abstract
In this study, Al/diamond high-conductive metal matrix composites were fabricated using the gas pressure infiltration (GPI) method with different times of heat preservation to study the surface microstructure transition and its effect on the interface of composites. The results show that during the fabrication of Al/diamond composites, phase transformation from diamond structure to amorphous structure and the graphitization would happen on the diamond surface. On the different planes of the diamond surface, including {100} and {111}, the phase transition happens differently, which is strongly influenced by the initial state fabricating temperature and time. This difference determines the diffusive reaction between the molten aluminum and diamond particle during the process and has a significant effect on the growth and shape of aluminum carbide. As a result, the interface of GPI Al/diamond composites performs the anisotropic characteristic. Therefore, proactive treatment of diamond particles and fabrication of composites have to be critically controlled and optimized to obtain the ideal combination of anisotropic {100} and {111} interface enhancing and stabilizing the thermal conductivity and coefficient of thermal expansion.
Effect on abrasion resistance of nitrile-butadiene rubber diaphragm with zinc oxide
Authors: Yang Fu , Li Mei 
Published: February 2025

Abstract
To study the effect of zinc oxide on the abrasion resistance of nitrile-butadiene rubber, three kinds of NBR specimens with different morphology of ZnO were manufactured. Energy distribution spectroscopy (EDS), scanning electron microscopy (SEM), and many other characterization methods were used to analyze ZnO’s microstructure, morphology, and distribution. Besides, a variety of test methods were used to test the properties and study the abrasion resistance of NBR, including tensile strength, ShoreA hardness, and vulcanization characteristics. The conventional ZnO rubber is the worst, the nano-ZnO rubber is the worst, and the modified nano-ZnO rubber is the best for slight abrasive abrasion without adhesive abrasion.
Molecular cages for the selective detection of aromatic nitro compounds
Authors: Wang Bingyu , Yang Fanzhi 
Published: February 2025

Abstract
With the widespread application of aromatic nitro compounds (ANCs) in multiple fields, such as pesticides, pharmaceuticals, high-energy explosives, and industrial dyes, the rapid detection of trace amounts is crucial for environmental safety and human health. In this article, a molecular cage CC7 was synthesized to detect 2,4-DNT based on the fluorescence quenching method, which exhibits high selectivity and sensitivity for 2,4-DNT with a detection limit of 0.53μM, providing a new method for the detection of energetic compounds.
Identifying the concentration of the ethanol by utilizing surface plasmon resonance technology
Authors: Yang Jiaping , Wang Guofu , Li Hongqi , Jia Xiaobo , Zhou Jin , Liu Yansheng 
Published: February 2025

Abstract
Ethanol is an important raw material in the chemical, pharmaceutical, and food industries. Due to the volatile nature of ethanol products, it is essential to monitor the concentration of ethanol in these products to prevent degradation caused by evaporation. This paper presents a sensor chip for detecting ethanol concentration. An aqueous solution is used as the ethanol solvent, and a surface plasmon resonance (SPR) sensor serves as the receiver. When ethanol interacts with the surface of the SPR sensor, the refractive index is modulated and then detected by the SPR sensor. Based on this principle, the sensor was fabricated and tested. Real-time experiments of identifying ethanol solutions with concentrations ranging from 0.5% to 4% demonstrated that the system exhibits good repeatability and durability. Furthermore, the device offers high detection sensitivity and low cost, making it suitable for widespread application in industrial production.
Effect of carbonization temperature on supported CoMo catalysts with honeycomb structure for thiophene hydrodesulfurization
Authors: Song Mingyu , Yang Fuhui , Du Yeqiang , Wang Guangjian , Wang Fang , Bing Liancheng , Han Dezhi 
Published: February 2025

Abstract
The use of transportation fuels with high sulfur content can lead to the production of a large amount of sulfur oxides, which will have a serious impact on the earth’s ecological environment. Hydrodesulfurization (HDS) technology can effectively remove sulfur-containing compounds from transport fuels to ultra-low sulfur levels. In this paper, the supported cobalt-molybdenum HDS catalysts with honeycomb structure were prepared using activated carbon support derived from cypress wood as raw material. We explored how varying carbonization temperatures influence catalysts’ structural and chemical properties using low-temperature nitrogen adsorption-desorption, The conversion efficiency of these HDS catalysts in transforming thiophene was examined using X-ray difraction(XRD) and scanning electron microscopy (SEM), within a high-pressure micro-fixed-bed reactor setup. Our observations revealed that all catalysts maintained their honeycomb-like structure, featuring both micropores and mesopores. This specialized pore arrangement helps to alleviate the resistance encountered during the mass transfer between large reactant molecules and the resulting products. The larger specific surface area promotes the dispersion of active ingredients in the catalyst, exposing more active sites. The maximum thiophene conversion over the CoMo-800 catalyst reached 93.28%.
The Love of God and Its Story
Authors: Stump Eleonore 
Published: February 2025

Abstract
The most significant story about the love of God is the story of Christ’s passion. The most promising candidates for such stories are composite meta-narratives constructed from the four different Gospel accounts describing Christ’s crucifixion, death, resurrection, and ascension. In this chapter, I give a brief explanation and defense of the methodology for constructing such a composite meta-narrative. Then I present and comment on a composite meta-narrative of Christ’s passion to unearth a story of the love of God. The story serves to delineate what it is for a human being to perfect the image of God in human nature.
Remote Neuropsychological Testing as an Alternative to Traditional Methods—a Convergent Validity Study
Authors: Wärn Emma , Andersson Linus , Berginström Nils 
Published: February 2025

Abstract

Objective
Neuropsychological testing has traditionally been performed on site using standardized paper-pencil tests. Online platforms now offer the potential of conducting such testing at home but requires validation before widespread use. In this pilot study with healthy adults, we examine the convergent validity of the newly developed test battery Mindmore Remote.

Method
Fifty-two healthy participants were tested using both Mindmore Remote at home and traditional neuropsychological testing on site. The order of presentation was randomized. Associations between test performance on the two batteries were compared using Pearson and Spearman correlations.

Results
Results revealed significant correlations between all Mindmore Remote tests and traditional tests. Verbal tests showed stronger correlations (r = .71–.83) than non-verbal tests (r = .48–.71). Further, correlations were stronger for users who made responses using a computer mouse than for touchpad users.

Conclusions
Mindmore Remote tests that rely on verbal in- and output were comparable to traditional face-to-face neuropsychological tests. However, although promising, further validation is needed for tests that require visuo-motor interaction. In comparison with similar studies, the results indicate that test modification, rather than remote administration, is accountable for weaker correlations.
Sul-BertGRU: An Ensemble Deep Learning Method integrating Information Entropy-enhanced BERT and Directional Multi-GRU for S-sulfhydration Sites prediction
Authors: Wei Xirun , Ning Qiao , Che Kuiyang , Liu Zhaowei , Li Hui , Guo Shikai 
Published: February 2025

Abstract

Motivation
S-sulfhydration, a crucial post-translational protein modification, is pivotal in cellular recognition, signaling processes, and the development and progression of cardiovascular and neurological disorders, so identifying S-sulfhydration sites is crucial for studies in cell biology. Deep learning shows high efficiency and accuracy in identifying protein sites compared to traditional methods that often lack sensitivity and specificity in accurately locating nonsulfhydration sites. Therefore, we employ deep learning methods to tackle the challenge of pinpointing S-sulfhydration sites.

Results
In this work, we introduce a deep learning approach called Sul-BertGRU, designed specifically for predicting S-sulfhydration sites in proteins, that integrates multi-directional gated recurrent unit (GRU) and BERT. First, Sul-BertGRU proposes an information entropy-enhanced BERT (IE-BERT) to preprocess protein sequences and extract initial features. Subsequently, confidence learning is employed to eliminate potential S-sulfhydration samples from the nonsulfhydration samples and select reliable negative samples. Then, considering the directional nature of the modification process, protein sequences are categorized into left, right, and full sequences centred on cysteines. We build a multi-directional GRU to enhance the extraction of directional sequence features and model the details of the enzymatic reaction involved in S-sulfhydration. Ultimately, we apply a parallel multi-head self-attention mechanism alongside a convolutional neural network (CNN) to deeply analyze sequence features that might be missed at a local level. Sul-BertGRU achieves sensitivity, specificity, precision, accuracy, Matthews correlation coefficient, and area under the curve scores of 85.82%, 68.24%, 74.80%, 77.44%, 55.13%, and 77.03%, respectively. Sul-BertGRU demonstrates exceptional performance and proves to be a reliable method for predicting protein S-sulfhydration sites.

Availability and Implementation
The source code and data are available at https://github.com/Severus0902/Sul-BertGRU/.

Supplementary Information
Supplementary data are available at Bioinformatics online.
Randomization Inference When N Equals One
Authors: Liang Tengyuan , Recht Benjamin 
Published: February 2025

Abstract
N-of-1 experiments, where a unit serves as its own control and treatment in different time windows, have been used in certain medical contexts for decades. However, due to effects that accumulate over long time windows and interventions that have complex evolution, a lack of robust inference tools has limited the widespread applicability of such N-of-1 designs. This work combines techniques from experimental design in causal inference and system identification from control theory to provide such an inference framework. We derive a model of the dynamic interference effect that arises in linear time-invariant dynamical systems. We show that a family of causal estimands analogous to those studied in potential outcomes are estimable via a standard estimator derived from the method of moments. We derive formulae for higher moments of this estimator and describe conditions under which N-of-1 designs may provide faster ways to estimate the effects of interventions in dynamical systems. We also provide conditions under which our estimator is asymptotically normal and derive valid confidence intervals for this setting.
Polysaccharide quantification using microbial enzyme cocktails
Authors: Pontrelli Sammy , Sauer Uwe 
Published: February 2025

Abstract
Polysaccharide quantification plays a vital role in understanding ecological and nutritional processes in microbes, plants, and animals. Traditional methods typically hydrolyze these large molecules into monomers using chemical methods, but such approaches do not work for all polysaccharides. Enzymatic degradation is a promising alternative but typically requires the use of characterized recombinant enzymes or characterized microbial isolates that secrete enzymes. In this study, we introduce a versatile method that employs undefined enzyme cocktails secreted by individual microbes or complex environmental microbial communities for the hydrolysis of polysaccharides. We focus on colloidal chitin and laminarin as representative polysaccharides of ecological relevance. Our results demonstrate that colloidal chitin can be effectively digested with an enzyme cocktail derived from a chitin-degrading Psychromonas sp. isolate. Utilizing a 3,5-dinitrosalicylic acid reducing sugar assay or liquid chromatography mass spectrometry for mono- and oligomers detection, we successfully determined chitin concentrations as low as 62 mg/L and 15 mg/L, respectively. This allows for effective monitoring of microbial chitin degradation. To extend the applicability of our method, we also leveraged complex, undefined microbial communities as sources of enzyme cocktails capable of degrading laminarin. With this approach, we achieved a detection limit of 30 mg/L laminarin through the reducing sugar assay. Our findings highlight the potential of utilizing enzyme cocktails from both individual microbes and, notably, from undefined microbial communities for polysaccharide quantification. This advancement addresses limitations associated with traditional chemical hydrolysis methods.