bluuebunny/crossref_metadata_2025_split huggingface dataset:
The influence of different load distribution considering geometric error on the fatigue life of ball screw
Authors: Wu Qin , Li Jianxiong , Liu Jun , Wang Xinglian 
Published: April 2024

AbstractThe ball screw pair is a precision drive component that converts rotary motion into linear motion. In practical applications, because the feed system usually has rotational torque and geometric errors, it may increase the contact load of the ball screw pair and reduce the fatigue life. In order to study the influence of different loads and geometric errors on the maximum contact load and fatigue life of ball screw pairs, the following research work was carried out. Firstly, based on the composite load and rotational torque, the ball load distribution model is established, and the accuracy of the model is verified by finite element modeling analysis. Then, the influence of different composite loads, rotation times and geometric errors (including ball size error, lead error and raceway tooth profile error) on the ball load distribution is analyzed. Finally, the influence of compound load, rotating torque and geometric error on the fatigue life of ball screw pairs is studied. The results show that the rotational torque and lead error have a great influence on the load distribution and fatigue life of the ball, and the influence of lead error on load distribution is greater than that of dimension error and tooth profile error. The fatigue life of the ball screw pair with non-uniform load distribution is shorter than that of the ball screw pair with uniform load distribution.
Energy trade tempers Nile water conflict
Authors: Etichia Mikiyas , Basheer Mohammed , Bravo Ruben , Gutierrez Jose , Endegnanew Atsede , Gonzalez Jose M. , Hurford Anthony , Tomlinson James , Martinez Eduardo , Panteli Mathaios , Harou Julien J. 
Published: April 2024

AbstractThe demand for energy, water and food in Africa continues to increase, resulting in growing pressure on contentious multisector resource systems like the River Nile. The ongoing dispute over Nile resources could become a zero-sum game if addressed from a water-centric viewpoint. Understanding how energy system management impacts water infrastructure introduces new opportunities to solve water conflicts. Although benefit-sharing of water resources in the Nile Basin has been promoted to counteract water volume disputes, it has not yielded actionable solutions to the toughest negotiations over the past two decades. Here we develop a detailed and integrated energy–river basin system simulator of 13 East African countries, including the Nile Basin, and show how new electricity trade agreements between Ethiopia, Sudan and Egypt could help resolve the ongoing water dispute over the Grand Ethiopian Renaissance Dam. The results show that increasing energy trade can reduce Egyptian water deficits, reduce regional greenhouse gas emissions, increase hydropower generation in all three countries, reduce energy curtailment in Sudan and increase Ethiopia’s financial returns from electricity. This study underscores how spatial quantification of river–energy system interdependencies can help decision-makers find actionable multisector benefit-sharing solutions.
A region feature fusion network for point cloud and image to detect 3D object
Authors: Shi Yanjun , Ma Longfei , Li Jiajian , Wang Xiaocong , Yang Yu 
Published: April 2024

AbstractSensor fusion is very important for collaborative intelligent systems. A regional feature fusion network called ReFuNet for detecting 3D Object is proposed. It is difficult to detect distant or small objects accurately for the sparsity of LiDAR point cloud. The LiDAR point cloud and camera image information to solve the problem of point cloud sparsity is used, which can integrate image‐rich semantic information to enhance point cloud features. Also, the authors’ ReFuNet method segments the possible areas of objects by the results of 2D image detection. A cross‐attention mechanism adaptively fuses image and point cloud features within the areas. Then, the authors’ ReFuNet uses fused features to predict the 3D bounding boxes of objects. Experiments on the KITTI 3D object detection dataset showed that the authors’ proposed fusion method effectively improved the performance of 3D object detection.
Effectiveness of a training program among parents of preschool children with ASD in Tunisia: a randomized controlled trial
Authors: Abid Nihed , Gaddour Naoufel , Hmissa Sihem 
Published: April 2024

AbstractRaising a child with ASD can be overwhelming and challenging for parents, and it poses different needs that require support, guidance, and education. Purpose: The aim of this study was to assess the effectiveness of a psychoeducational intervention developed to support parents of children with ASD in Tunisia. A randomized controlled trial was carried out in three Autism socio-educational centers in Tunisia. The study was conducted among parents of children with ASD aged 3 to 8 years from November 2020 to January 2022 (N = 31) compared to a control sample of parents of children attending the same centers but received no specific parent intervention (n = 31). The “Blue Hope” program includes eight training sessions delivered through a combination of face-to-face and online sessions. Results showed that the program significantly improved communication and reduced behavior problems in preschool children with ASD, with a significant positive difference noted at the 6-month follow-up. The program also had a positive impact on parental anxiety and depression, with significant and positive differences observed in anxiety and depression scores and the total score at follow-up compared to baseline. These findings suggest that the “Blue Hope” program could be a cost-effective and valuable solution for parents of children with ASD in Tunisia and could be the first step in developing and improving training programs for parents in low-income countries.
Topological perturbations on resilience of the world trade competition network
Authors: Li Zhao , Zhuoming Ren , Ziyi Zhao , Tongfeng Weng 
Published: April 2024

AbstractNetwork resilience refers to a system’s capability to adapt its functions to ensure continuity of essential operations amidst external environmental shifts or internal failures. The resilience of the world trade network faces structural disturbances, such as dynamic changes in the internal and external environments, increasing trade barriers and changes in competition between countries, which is an issue worth exploring. In this study, we introduce a world trade competition network that reflects export competition between two countries. We employ a network dynamics model to assess the resilience of this global trade competition network, focusing on the influence of topological disturbances. The eight distinct types of topological perturbations analyzed include nodes representing countries, links symbolizing inter-country competition, and weights indicative of the intensity of this competition. Our findings reveal that the intensity of export competition between countries significantly influences the resilience of the global trade competition network. Specifically, experimental outcomes indicate that network resilience declines more rapidly when nodes are removed sequentially based on higher weighted degrees than when based on lower ones. Similarly, in link perturbation scenarios, removing links associated with higher competition intensity first leads to a more precipitous decrease in network resilience when the network is otherwise stable. Furthermore, in weight alteration scenarios, networks maintaining a higher ratio of high-intensity competition links demonstrate greater stability compared to those with a reduced proportion of such links. Consequently, sustaining a robust level of export competition between countries is crucial for preserving the stability of the network.
Effect of cobalt and aluminum doping on the structural and magnetic properties of zinc oxide nanoparticles
Authors: Winarsih Suci , Jatmika Jumaeda , Roza Liszulfah , Risdiana Risdiana , Watanabe Isao 
Published: April 2024

A systematic study of the substitution effect of Co and Al on ZnO nanoparticles was carried out by x-ray diffraction (XRD) and transmission electron microscopy and using a superconducting quantum interference device magnetometer to study their structural, morphological, and magnetic properties. Zn1−xMxO (M = Co, Al) at different doping concentrations was prepared using a hydrothermal technique. The XRD results with structural Rietveld refinement reveal that the major phase of all samples had a hexagonal wurtzite crystal structure with a P63mc space group. Hysteresis loops with no magnetic saturation at high fields were analyzed at 2 K in all samples. Zero magnetic remanence and zero coercivity were also examined. The results demonstrated that the magnetic ground state at 2 K in all samples was magnetism with the coexistence of antiferromagnetic, ferromagnetic, and superparamagnetic phases. This behavior persisted at 100 and 300 K in the Al-doped sample, while Co-doped ones exhibited a paramagnetic state only. The role of non-magnetic doping, which leads to the appearance of magnetism in ZnO nanoparticles persisting at high temperatures, is discussed herein.
Exploring light-emitting diode pumped luminescent concentrators in solid-state laser applications
Authors: Perera H C S , Ford B , Das G , Balembois F , Sathian J 
Published: April 2024

Abstract
In the past, there were limited efforts to use light-emitting diodes (LEDs) for pumping solid-state lasers. However, these attempts were overshadowed by the introduction of laser diodes, which offered more favourable pumping conditions. Nevertheless, recent advancements in high-power LEDs, coupled with the utilization of luminescent concentrators (LC), have paved the way for a novel approach to pump solid-state lasers. The combination of LEDs and LC in this LED-LC system presents several advantages, including enhanced ruggedness, stability, and cost-effectiveness compared to other laser pumping methods. This review explores the various techniques employed to pump solid-state lasers using LED-LC as a pump source, along with improvements made to enhance the brightness of LEDs in this context.
Synthesis and characterization of modified iron oxide hydrophobic corrosion-resistant pigment for aluminum alloy coating
Authors: Wang Bingkui , Luo Renhuan , Yang Zhanhua , Zhou Xiaoyu , Li Wang , Li Jiacheng , Wei Qiankun , Chen Jun , Wei Guowang , Zhang Jiubing , Wang Zhongmin , Gan Weijiang 
Published: April 2024

Abstract
A hydrophobic coating containing modified iron oxides was prepared for corrosion protection of aluminum alloy. The modified iron oxide particles were synthesized using the annealing method and the evaluation of the corrosion-resistant benefits of modified iron oxides as additive in the epoxy resin coating was conducted. The raw FeOOH phase can be transformed into the α-Fe2O3 phase by increasing the annealing temperature. The morphology, colors, and pore size of the modified iron oxide are controllably evolved via finely adjusting the annealing temperature, which is beneficial for the compatibility, dispersion, and stability with epoxy resin. Besides, modified α-Fe2O3 annealed at 700 °C exhibited elliptical morphology and good solubility in epoxy resin solvents to form a hydrophobic corrosion inhibition layer (TP700), which further improves the corrosion resistance. Findings of corrosion electrochemical measurements and salt spray test confirmed the existence of TP700 composite coating resulted in the best corrosion protective properties on aluminum alloy during the corrosion process with the minimum corrosion current of 7.75 × 10−10 A cm−2 and the maximum |Z|0.01Hz value of 1.80 × 108 Ω cm2, which both are about two orders of magnitude higher than the commercial Fe2O3. Our results suggest a new venue for preparing modified iron oxide pigment on the surface of aluminum alloy materials for enhanced anti-corrosion applications.
Benchmarking of hardware-efficient real-time neural decoding in brain–computer interfaces
Authors: Hueber Paul , Tang Guangzhi , Sifalakis Manolis , Liaw Hua-Peng , Micheli Aurora , Tomen Nergis , Liu Yao-Hong 
Published: April 2024

Abstract
Designing processors for implantable closed-loop neuromodulation systems presents a formidable challenge owing to the constrained operational environment, which requires low latency and high energy efficacy. Previous benchmarks have provided limited insights into power consumption and latency. However, this study introduces algorithmic metrics that capture the potential and limitations of neural decoders for closed-loop intra-cortical brain–computer interfaces in the context of energy and hardware constraints. This study benchmarks common decoding methods for predicting a primate’s finger kinematics from the motor cortex and explores their suitability for low latency and high energy efficient neural decoding. The study found that ANN-based decoders provide superior decoding accuracy, requiring high latency and many operations to effectively decode neural signals. Spiking neural networks (SNNs) have emerged as a solution, bridging this gap by achieving competitive decoding performance within sub-10 ms while utilizing a fraction of computational resources. These distinctive advantages of neuromorphic SNNs make them highly suitable for the challenging closed-loop neural modulation environment. Their capacity to balance decoding accuracy and operational efficiency offers immense potential in reshaping the landscape of neural decoders, fostering greater understanding, and opening new frontiers in closed-loop intra-cortical human-machine interaction.
Introduction
Authors: Lu Lerong 
Published: April 2024

AbstractThis is an introductory chapter. It presents the background of writing the book, especially the transformative force of technological innovations in modern economies. The world is undergoing unprecedented technological breakthroughs in most business areas, as we have seen with the rise of electric vehicles, artificial intelligence (AI)-driven language processing tools, Metaverse, and biotech in the 2010s and 2020s. The financial industry is no exception. Fintech denotes the close interaction between the financial services industry and latest information technologies like big data, cloud computing, blockchain, and AI. The Fintech revolution has produced various novel financial services, products, institutions, and business models, such as app-based banking services, mobile payments, crowdfunding, P2P lending, cryptos, CBDCs, robo-advisors, and insurtech. The chapter also discusses the book’s objective and its potential readership, as well as the original analytical framework known as Lu’s Analysis Model to contextualise the global Fintech revolution. Finally, it presents an outline of other chapters in the book.
Data-balanced transformer for accelerated ionizable lipid nanoparticles screening in mRNA delivery
Authors: Wu Kun , Yang Xiulong , Wang Zixu , Li Na , Zhang Jialu , Liu Lizhuang 
Published: April 2024

Abstract
Despite the widespread use of ionizable lipid nanoparticles (LNPs) in clinical applications for messenger RNA (mRNA) delivery, the mRNA drug delivery system faces an efficient challenge in the screening of LNPs. Traditional screening methods often require a substantial amount of experimental time and incur high research and development costs. To accelerate the early development stage of LNPs, we propose TransLNP, a transformer-based transfection prediction model designed to aid in the selection of LNPs for mRNA drug delivery systems. TransLNP uses two types of molecular information to perceive the relationship between structure and transfection efficiency: coarse-grained atomic sequence information and fine-grained atomic spatial relationship information. Due to the scarcity of existing LNPs experimental data, we find that pretraining the molecular model is crucial for better understanding the task of predicting LNPs properties, which is achieved through reconstructing atomic 3D coordinates and masking atom predictions. In addition, the issue of data imbalance is particularly prominent in the real-world exploration of LNPs. We introduce the BalMol block to solve this problem by smoothing the distribution of labels and molecular features. Our approach outperforms state-of-the-art works in transfection property prediction under both random and scaffold data splitting. Additionally, we establish a relationship between molecular structural similarity and transfection differences, selecting 4267 pairs of molecular transfection cliffs, which are pairs of molecules that exhibit high structural similarity but significant differences in transfection efficiency, thereby revealing the primary source of prediction errors. The code, model and data are made publicly available at https://github.com/wklix/TransLNP.
Transposable elements in Rosaceae: insights into genome evolution, expression dynamics, and syntenic gene regulation
Authors: Yu Ze , Li Jiale , Wang Hanyu , Ping Boya , Li Xinchu , Liu Zhiguang , Guo Bocheng , Yu Qiaoming , Zou Yangjun , Sun Yaqiang , Ma Fengwang , Zhao Tao 
Published: April 2024

Abstract
Transposable elements (TEs) exert significant influence on plant genomic structure and gene expression. Here, we explored TE-related aspects across 14 Rosaceae genomes, investigating genomic distribution, transposition activity, expression patterns, and nearby differentially expressed genes (DEGs). Analyses unveiled distinct long terminal repeat retrotransposon (LTR–RT) evolutionary patterns, reflecting varied genome size changes among nine species over the past million years. In the past 2.5 million years, Rubus idaeus showed a transposition rate twice as fast as Fragaria vesca, while Pyrus bretschneideri displayed significantly faster transposition compared with Crataegus pinnatifida. Genes adjacent to recent TE insertions were linked to adversity resistance, while those near previous insertions were functionally enriched in morphogenesis, enzyme activity, and metabolic processes. Expression analysis revealed diverse responses of LTR–RTs to internal or external conditions. Furthermore, we identified 3695 pairs of syntenic DEGs proximal to TEs in Malus domestica cv. ‘Gala’ and M. domestica (GDDH13), suggesting TE insertions may contribute to varietal trait differences in these apple varieties. Our study across representative Rosaceae species underscores the pivotal role of TEs in plant genome evolution within this diverse family. It elucidates how these elements regulate syntenic DEGs on a genome-wide scale, offering insights into Rosaceae-specific genomic evolution.
Plants attacked above-ground by leaf-mining flies change below-ground microbiota to enhance plant defense
Authors: Gao Yang , Yang Qiong , Chen Qiulin , He Yunchuan , He Wei , Geng Jiamei , Zhang Yunzeng , Zhou Ying , Zhu Zeng-Rong 
Published: April 2024

Abstract
Root-associated microbiomes play a crucial role in plant responses to biotic and abiotic stresses. Plants can enrich beneficial microbes to increase their stress-relieving ability. Above-ground insect herbivory is among the most detrimental stresses for plants, especially to crop production. However, few studies have explored how root-associated microbiomes respond to herbivores and influence plant-defense functions under herbivory stress. We investigate the changes and functional role of root-associated microbial communities under herbivory stress using leafminer (Liriomyza trifolii) and cowpea (Vigna unguiculata) as a focal system. We did this by using a combination of 16S ribosomal RNA gene profiling and metagenomic sequencing to test for differences in co-occurrence networks and functions between cowpea plants infested and noninfested with leafminers. The results demonstrated that leafminer infestation caused a shift in the rhizosphere microbiome, which was characterized by a significant variation in microbiome community structure and composition, the selection of hub microbes involved in nitrogen (N) metabolism, and functional enrichment related to N metabolism. Notably, nitrogen-fixing bacteria Bradyrhizobium species were actively enriched and selected to be hubs in the rhizosphere. Inoculation with Bradyrhizobium enhanced cowpea performance under leafminer stress and increased protease inhibitor levels to decrease leafminer fitness. Overall, our study characterized the changes of root-associated microbiota between leafminer-infested and noninfested cowpea plants and revealed the mechanisms underlying the rhizosphere microbiome shift that enhance plant performance and defense against herbivory. Our findings provide further support for the notion that plants enrich rhizosphere microbes to counteract aboveground insect herbivores.
Burn-Induced Cicatricial Eyelid Retraction: A Challenging Case and Review of Management Principles
Authors: Clauss Kevin D , Bineshfar Niloufar , Walsh Hannah L , Johnson Thomas E 
Published: April 2024

Abstract
Thermal and chemical burns can result in cicatricial eyelid retraction, characterized by an abnormal resting position of the eyelid margin and increased palpebral fissure height. Eyelid retraction often leads to exposure keratopathy, which can cause complications ranging from mild dry eye to globe-threatening ulceration and perforation. Prompt intervention includes aggressive lubrication, moisture chambers, eyelid tarsorrhaphy, and retraction repair surgery. Discussed here is a burn patient that developed severe cicatricial eyelid retraction and ectropion, leading to severe exposure keratopathy and infectious corneal ulceration with perforation. The patient required aggressive medical intervention, as well as 2 surgeries to restore the normal eyelid anatomy to protect the globe.
Reactive lymphoid hyperplasia of the liver after surgery for advanced sigmoid colon cancer: a case report
Authors: Sunamura Ken , Endo Yutaka , Hayashi Koki , Uchi Yusuke , Ozawa Soji , Shimazu Motohide 
Published: April 2024

Abstract
We report a case of reactive lymphoid hyperplasia (RLH) mimicking colorectal liver metastases (CRLM) on preoperative workup that was clinically indistinguishable. A 78-year-old woman was found to have locally-advanced sigmoid cancer (T4), and then treated with radical sigmoidectomy. One year after the surgery, plain computed tomography (CT) revealed a low-density area in the right hepatic lobe. Metastatic liver tumors could not be ruled out with CT/ magnetic resonant imaging (MRI) and positron emission tomography–CT . Based on these findings, the patient was diagnosed with CRLM at S7 of the liver. The patient underwent right posterior sectionectomy. The tumor was adjacent to the right hepatic vein; however, no invasion was observed. The patient was pathologically diagnosed as having RLH. The patient showed no signs of recurrence 16 months after initial surgery. RLH is clinically indistinguishable from CRLM. Further evaluation is required to elucidate the effective strategies of detecting and treating hepatic RLH.