bluuebunny/crossref_metadata_2025 huggingface dataset:
Brain-Region-Specific Differences in Protein Citrullination/Deimination in a Pre-Motor Parkinson’s Disease Rat Model
Authors: Mercer Audrey , Sancandi Marco , Maclatchy Amy , Lange Sigrun
Published: October 2024

The detection of early molecular mechanisms and potential biomarkers in Parkinson’s disease (PD) remains a challenge. Recent research has pointed to novel roles for post-translational citrullination/deimination caused by peptidylarginine deiminases (PADs), a family of calcium-activated enzymes, in the early stages of the disease. The current study assessed brain-region-specific citrullinated protein targets and their associated protein–protein interaction networks alongside PAD isozymes in the 6-hydroxydopamine (6-OHDA) induced rat model of pre-motor PD. Six brain regions (cortex, hippocampus, striatum, midbrain, cerebellum and olfactory bulb) were compared between controls/shams and the pre-motor PD model. For all brain regions, there was a significant difference in citrullinated protein IDs between the PD model and the controls. Citrullinated protein hits were most abundant in cortex and hippocampus, followed by cerebellum, midbrain, olfactory bulb and striatum. Citrullinome-associated pathway enrichment analysis showed correspondingly considerable differences between the six brain regions; some were overlapping for controls and PD, some were identified for the PD model only, and some were identified in control brains only. The KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways identified in PD brains only were associated with neurological, metabolic, immune and hormonal functions and included the following: “Axon guidance”; “Spinocerebellar ataxia”; “Hippo signalling pathway”; “NOD-like receptor signalling pathway”; “Phosphatidylinositol signalling system”; “Rap1 signalling pathway”; “Platelet activation”; “Yersinia infection”; “Fc gamma R-mediated phagocytosis”; “Human cytomegalovirus infection”; “Inositol phosphate metabolism”; “Thyroid hormone signalling pathway”; “Progesterone-mediated oocyte maturation”; “Oocyte meiosis”; and “Choline metabolism in cancer”. Some brain-region-specific differences were furthermore observed for the five PAD isozymes (PADs 1, 2, 3, 4 and 6), with most changes in PAD 2, 3 and 4 when comparing control and PD brain regions. Our findings indicate that PAD-mediated protein citrullination plays roles in metabolic, immune, cell signalling and neurodegenerative disease-related pathways across brain regions in early pre-motor stages of PD, highlighting PADs as targets for future therapeutic avenues.
The Introduction of a BaTiO3 Polarized Coating as an Interface Modification Strategy for Zinc-Ion Batteries: A Theoretical Study
Authors: Chen Diantao , Zhang Jiawei , Liu Qian , Wang Fan , Liu Xin , Chen Minghua
Published: October 2024

Aqueous zinc-ion batteries (AZIBs) have become a promising and cost-effective alternative to lithium-ion batteries due to their low cost, high energy, and high safety. However, dendrite growth, hydrogen evolution reactions (HERs), and corrosion significantly restrict the performance and scalability of AZIBs. We propose the introduction of a BaTiO3 (BTO) piezoelectric polarized coating as an interface modification strategy for ZIBs. The low surface energy of the BTO (110) crystal plane ensures its thermodynamic preference during crystal growth in experimental processes and exhibits very low reactivity toward oxidation and corrosion. Calculations of interlayer coupling mechanisms reveal a stable junction between BTO (110) and Zn (002), ensuring system stability. Furthermore, the BTO (110) coating also effectively inhibits HERs. Diffusion kinetics studies of Zn ions demonstrate that BTO effectively suppresses the dendrite growth of Zn due to its piezoelectric effect, ensuring uniform zinc deposition. Our work proposes the introduction of a piezoelectric material coating into AZIBs for interface modification, which provides an important theoretical perspective for the mechanism of inhibiting dendrite growth and side reactions in AZIBs.
Translation of Mutant Repetitive Genomic Sequences in Hirsutella sinensis and Changes in the Secondary Structures and Functional Specifications of the Encoded Proteins
Authors: Li Xiu-Zhang , Li Yu-Ling , Wang Ya-Nan , Zhu Jia-Shi
Published: October 2024

Multiple repetitive sequences of authentic genes commonly exist in fungal genomes. AT-biased genotypes of Ophiocordyceps sinensis have been hypothesized as repetitive pseudogenes in the genome of Hirsutella sinensis (GC-biased Genotype #1 of O. sinensis) and are generated through repeat-induced point mutation (RIP), which is charactered by cytosine-to-thymine and guanine-to-adenine transitions, concurrent epigenetic methylation, and dysfunctionality. This multilocus study examined repetitive sequences in the H. sinensis genome and transcriptome using a bioinformatic approach and revealed that 8.2% of the authentic genes had repetitive copies, including various allelic insertions/deletions, transversions, and transitions. The transcripts for the repetitive sequences, regardless of the decreases, increases, or bidirectional changes in the AT content, were identified in the H. sinensis transcriptome, resulting in changes in the secondary protein structure and functional specification. Multiple repetitive internal transcribed spacer (ITS) copies containing multiple insertion/deletion and transversion alleles in the genome of H. sinensis were GC-biased and were theoretically not generated through RIP mutagenesis. The repetitive ITS copies were genetically and phylogenetically distinct from the AT-biased O. sinensis genotypes that possess multiple transition alleles. The sequences of Genotypes #2–17 of O. sinensis, both GC- and AT-biased, were absent from the H. sinensis genome, belong to the interindividual fungi, and differentially occur in different compartments of the natural Cordyceps sinensis insect–fungi complex, which contains >90 fungal species from >37 genera. Metatranscriptomic analyses of natural C. sinensis revealed the transcriptional silencing of 5.8S genes in all C. sinensis-colonizing fungi in natural settings, including H. sinensis and other genotypes of O. sinensis. Thus, AT-biased genotypes of O. sinensis might have evolved through advanced evolutionary mechanisms, not through RIP mutagenesis, in parallel with GC-biased Genotype #1 of H. sinensis from a common genetic ancestor over the long course of evolution.
Evaluation of the Role of Tanshinone I in an In Vitro System of Charcot-Marie-Tooth Disease Type 2N
Authors: Zhang Jingjing , Meng Xinru , Qin Qianni , Liang Yali , Yang Guangpu , Li Shen , Li Xiaorong , Zhou Ji-Chang , Sun Litao
Published: October 2024

Charcot-Marie-Tooth disease type 2N (CMT2N) is an inherited nerve disorder caused by mutations in the alanyl-tRNA synthetase (AlaRS) gene, resulting in muscle weakness and sensory issues. Currently, there is no cure for CMT2N. Here, we found that all five AlaRS mutations in the aminoacylation domain can interact with neuropilin-1 (Nrp1), which is consistent with our previous findings. Interestingly, three of these mutations did not affect alanine activation activity. We then performed a high-throughput screen of 2000 small molecules targeting the prevalent R329H mutant. Using thermal stability assays (TSA), biolayer interferometry (BLI), ATP consumption, and proteolysis assays, we identified Tanshinone I as a compound that binds to and modifies the conformation of the R329H mutant and other CMT-related AlaRS mutants interacting with Nrp1. Molecular docking and dynamic simulation studies further clarified Tanshinone I’s binding mode, indicating its potential against various AlaRS mutants. Furthermore, co-immunoprecipitation (Co-IP) and pull-down assays showed that Tanshinone I significantly reduces the binding of AlaRS mutants to Nrp1. Collectively, these findings suggest that Tanshinone I, by altering the conformation of mutant proteins, disrupts the pathological interaction between AlaRS CMT mutants and Nrp1, potentially restoring normal Nrp1 function. This makes Tanshinone I a promising therapeutic candidate for CMT2N.
One-Year Visual and Refractive Outcomes of SmartPulse® Technology in Transepithelial Photorefractive Keratectomy for Myopic and Astigmatic Patients
Authors: Margarit Daiana-Andreea , Stanca Horia Tudor , Mocanu Valeria , Munteanu Mihnea , Ferrari Francis , Marius Suta
Published: October 2024

Background/Objectives: This study aims to evaluate the efficacy, safety, and predictability of Transepithelial Photorefractive Keratectomy (TPRK) using the SmartPulse® technology excimer laser for the correction of myopia and myopic astigmatism, assessing visual and refractive outcomes over a one-year follow-up period. Methods: This retrospective cohort study analyzed data from patients who underwent TPRK at the Ophthalmology Department—“Victor Babes” University of Medicine and Pharmacy in Timisoara (Romania), between January 2019 and June 2023. The procedure was performed using the SmartPulse® Technology of the SmartSurfACE AMARIS 750S excimer laser (SCHWIND eye-tech-solutions, Kleinostheim, Germany). Preoperative assessments included visual acuity, refraction, and corneal measurements, with postoperative evaluations conducted for up to 12 months. Results: This study included 92 eyes from 46 patients (mean age 29.02 years, 63% male). At 12 months post-op, 100% achieved UDVA 20/25 or better, with an efficacy index of 1.01. Refractive accuracy was 96% within ±0.50 D of the target and astigmatism ≤ 0.50 D in 99% of eyes. The safety index was 1.01. Corneal haze occurred in 8.70% of eyes and was effectively managed with dexamethasone drops. Conclusions: TPRK with the SmartPulse® technology excimer laser demonstrated high efficacy and safety in correcting myopia and myopic astigmatism, achieving stable visual outcomes over one year. The procedure also showed excellent predictability with a low incidence of complications, supporting its use as a reliable refractive surgery option.
Triple Therapy in COPD in Real Life: Is It Better to Use Single or Multiple Inhalers?
Authors: Sposato Bruno , Ricci Alberto , Lacerenza Leonardo Gianluca , Petrucci Elisa , Cresti Alberto , Baratta Pasquale , Perrella Antonio , Serafini Andrea , Scalese Marco
Published: October 2024

Background: Today, single-inhaler ICS/LAMA/LABA (SITT) COPD therapies are available. It is unclear whether they are more effective than multiple-device triple therapies (MITT) in improving COPD outcomes. Methods: We retrospectively considered patients on SITT/MITT in 2019/2020 who were prescribed >7 packages of ICS/LABA/LAMA or ICS/LAMA (+LAMA). The two treatments were compared concerning systemic corticosteroids, antibiotics, salbutamol, antifungal prescriptions, and number of emergency room visits/hospitalizations (ERV/Hs). We studied 292 MITT patients (Group A) during 2019, switching to SITT in 2020, and 366 subjects (Group B) who took SITT during 2019, and 206 MITT individuals (Group C) in 2020. Results: ICS/LABA + LAMA (MITT) package use was 8.2 ± 4.2 and 7.85 ± 4 in 2019, switching to 11.2 ± 3.2 when patients shifted to SITT in 2020 (p = 0.0001). Group A MITT package use was lower than in SITT patients in 2019 (9.31 ± 2.71, p = 0.0001; Group B). Throughout 2020, Group C (10.3 ± 6.1 packs) adherence to ICS/LABA was similar to SITT adherence in Group A (p = 0.270), whereas LAMA package use (9.1 ± 5) was lower (p = 0.0038). Patients using systemic corticosteroids/antibiotics were fewer in SITT in 2020, compared to the MITT results in 2019. Subjects with fewer ERV/Hs were observed with SITT rather than with MITT. Particularly, 13.8% of patients needed ≥2 ERV/Hs when treated with SITT, whereas 19.2% needed ≥2 ERV/Hs with MITT in 2019 (p = 0.08). Multivariate analysis, adjusted for all confounding factors including treatment adherence, showed that MITT (vs. SITT) can have an increased risk of at least one ERV/H (subjects receiving MITT during 2019 passing to SITT in 2020, OR: 1.718 [1.010–2.924], p = 0.046; Group A/MITT/2019 vs. Group B/SITT/2019, OR: 1.650 [0.973–3.153], p = 0.056; Group C/MITT/2020 vs. Group B/SITT/2019, OR: 1.908 [1.018–3.577], p = 0.044). Conclusions: SITT therapy may promote treatment adherence more effectively, therefore, reducing COPD exacerbations better than MITT. A possible synergistic effect of ICS/LABA/LAMA intake with a single device might be another cause of SITT’s greater efficacy.
Hereditary Transthyretin-Related Amyloidosis Ongoing Observational Study: A Baseline Report of the First 3167 Participants
Authors: Rösner Sabine , Pardo Luba M. , Bertoli-Avella Aida M. , Skrahina Volha , Engel Pierre , Schröder Sabine , Zielske Susan , Bonke Valerie , Kreth Janett , Westphal Gina , Reder Felix , Skobalj Snezana , Zielke Susanne , Bogdanovic Xenia , Grieger Paula , Rennecke Jörg , Skripuletz Thomas , Patten Monica , Aßmus Birgit , Hahn Katrin , Rolfs Arndt , Bauer Peter
Published: October 2024

Background: Hereditary transthyretin-related amyloidosis is a clinically heterogeneous autosomal dominant disease caused by pathogenic variants in the TTR gene (hATTR amyloidosis). Objective: The current study describes the demographic, clinical, and genetic characteristics of patients with suspected hATTR amyloidosis. Methods: This study is part of the “Hereditary transthyretin-related amyloidosis and longitudinal monitoring of TTR-positive patients” (TRAMmoniTTR) study. This study included 3167 participants, along with their clinical details. Principal component (PC) analysis was used to analyze their clinical symptomatology. Next-generation sequencing of the TTR gene was performed and genotype–phenotype relationships were investigated. We compared the demographic and clinical characteristics using the principal components (PCs) and also compared participants with and without the TTR pathogenic variants. Results: We identified five main clinical phenotypes out of 22 single symptoms that explained 49% of the variation. The first two PCs referred to polyneuropathy and cardiomyopathy. We found significant differences between gender and PC-polyneuropathy and PC-cardiomyopathy, with male over-representation in the higher quantiles of PC-polyneuropathy and male under-representation in the lowest quantiles of PC-cardiomyopathy. We identified 92 participants with hATTR (3%), exhibiting 17 unique heterozygous TTR variants. The p.Val50Met variant was the most frequent. Furthermore, 503 participants (20%) were identified with ATTR and no relevant TTR variants (ATTRwt). We detected significant differences between the ATTRwt and hATTR groups, with male gender predominance in only the ATTRwt group and a positive family history of polyneuropathy and/or cardiomyopathy among the hATTR participants. Conclusions: The current clinical and genetic characterization of this cohort serves as a foundation for further longitudinal monitoring and assessment.
Comparative Study of Unhatched and Hatched Chicken Egg Shell-Filled Glass Fibre/Polyester Composites
Authors: Kowshik Suhas , Sharma Sathyashankara , Rao Sathish , Shetty S. V. Udaya Kumar , Jain Prateek , Hiremath Pavan , Naik Nithesh , Manjunath Maitri
Published: October 2024

The incorporation of filler materials to enhance the properties of fibre-reinforced plastics is a prevalent practise in materials science. Calcium carbonate is a commonly used inorganic filler in composite fabrication. Eggshell, a rich source of calcium carbonate, offers an organic alternative to conventional inorganic fillers. This study investigates the efficacy of different types of eggshells as filler materials. Three variants, viz., unhatched raw eggshell, unhatched boiled eggshell, and post-hatched eggshell, were used to fabricate composite variants, which were then subjected to mechanical characterization and compared with unfilled composites. The results indicated that composites filled with unhatched eggshells outperformed those with post-hatched eggshells. Tensile testing revealed a significant enhancement in the tensile properties of all eggshell-filled composites in comparison to the unfilled ones. The composite variant filled with unhatched raw eggshell filler showcased the utmost tensile modulus and strength, with a notable 36% improvement in comparison with the unfilled variant. Similarly, flexural tests demonstrated a 53% increase in flexural strength for unhatched raw eggshell-filled composites over unfilled composites. SEM imaging confirmed these findings by showing crack arrests, deviations, particle distribution, and strong interfacial bonding in the eggshell-filled composites.
A Hybrid Approach Based on the SR-HWPT-PDF for Identifying Early Fault Signals in Rolling Bearings
Authors: Feng Zhaoyang , Xing Pengfei , Li Guobin , Zhang Lu , Lu Lixun , He Xiaoliang , Zhang Hongpeng
Published: October 2024

An approach combining the stochastic resonance, the harmonic wavelet packet transforms and the probability density function was proposed to obtain the early fault signal of a rolling bearing. Firstly, an adaptive variable-scale stochastic resonance was employed to detect the frequency range of the rolling bearing’s fault signal based on the improved signal-to-noise ratio, and then the harmonic wavelet packet transforms and the probability density function were utilized to extract and identify the fault signal of the rolling bearings from the detected signals. The case studies show that the proposed method can effectively obtain the early fault signals of the outer race, inner race and rolling element in the rolling bearings despite not knowing the frequency band distribution, and that the early fault diagnosis of the rolling bearings can be achieved.
SC-DiatomNet: An Efficient and Accurate Algorithm for Diatom Classification
Authors: Li Jiongwei , Jiang Chengshuo , Yao Lishuang , Zhang Shiyuan
Published: October 2024

Detecting the quantity and diversity of diatoms is of great significance in areas such as climate change, water quality assessment, and oil exploration. Here, an efficient and accurate object detection model, named SC-DiatomNet, is proposed for diatom detection in complex environments. This model is based on the YOLOv3 architecture and uses the K-means++ algorithm for anchor box clustering on the diatom dataset. A convolutional block attention module is incorporated in the feature extraction network to enhance the model’s ability to recognize important regions. A spatial pyramid pooling module and adaptive anchor boxes are added to the encoder to improve detection accuracy for diatoms of different sizes. Experimental results show that SC-DiatomNet can successfully detect and classify diatoms accurately without reducing detection speed. The recall, precision, and F1 score were 94.96%, 94.21%, and 0.94, respectively. It further improved the mean average precision (mAP) of YOLOv3 by 9.52% on the diatom dataset. Meanwhile, the detection accuracy was improved compared with those of other advanced deep learning algorithms. SC-DiatomNet has potential applications in water quality analysis and monitoring of harmful algal blooms.
Experimental and Numerical Study on the Characteristics of Bubble Motion in a Narrow Channel
Authors: Tang Borong , Wang Shenfei , Liu Fang , Niu Fenglei
Published: October 2024

Plate fuel elements, known for their compact structure and efficient cooling, are commonly used in the core of nuclear reactors. In these reactors, coolant channels are designed as rectangular narrow slits. Bubble behavior in narrow channels differs significantly from that in conventional channels. This paper investigates the vertical rise of bubbles in narrow slit channels. A gas–liquid two-phase flow experimental rig was constructed using transparent acrylic boards. A high-speed camera captured the bubble formation process during gas injection, and code implemented in Matlab was used to process the images. Numerical simulations were conducted with CFD software under identical conditions and compared with the experimental results, showing a good agreement. The results show that the experimental and simulated bubble movement velocities are in good agreement. In the experiments of this paper, when the width of the narrow gap is below 3 mm, the sidewalls exert a pronounced influence on the dynamics of bubble rise, notably altering both the velocity profile and the trajectory of the bubbles’ ascent. As the gas injection flow rate gradually increases, the bubble rising speed and trajectory change from regular to oscillatory patterns.
Economic Freedom, Budget Deficits, and Perceived Risk from Larger National Debt-to-GDP Ratios: An Exploratory Analysis of Their Real Interest Rate Effects
Authors: Cebula Richard J.
Published: October 2024

Since the early 1980s, there have been a number of principally empirical studies of the impact of government budget deficits on interest rates that have typically tested the hypothesis that larger deficits raise interest rates. However, in more recent years, this topic has received far less attention. Accordingly, this study seeks to “update” the findings of such studies and to do so for the dominant North American economies of Canada and the U.S. Furthermore, in the pursuit of further insights into interest rates, the present study also investigates an effectively heretofore overlooked variable that arguably also might influence interest rates, namely, economic freedom. Finally, given the increased upward trend of government debt (relative to GDP) in recent years in Canada and the U.S., this study investigates the interest rate impact of rising national debt-to-GDP ratios. For the 1995–2024 period (and also in one estimate for the 1985–2001 period), this exploratory study finds compelling evidence (1) that the real interest rate yield on 10-year Treasuries in Canada and the real interest rate yield on 10-year U.S. Treasury notes are increasing functions of the central government budget deficits in both Canada and the U.S., respectively, and (2) the real interest rate yields on 10-year Treasuries in Canada and 10-year U.S. Treasury notes are both decreasing functions of economic freedom in Canada and the U.S., respectively. On the other hand, regarding the impact of a higher national debt-to-GDP ratio on the real ten-year Treasury yield, there is only very mixed support for an impact, with support for its impact coming from the Canadian estimates but no support whatsoever coming from the U.S. estimates.
Pangenome Data Analysis Reveals Characteristics of Resistance Gene Analogs Associated with Sclerotinia sclerotiorum Resistance in Sunflower
Authors: Lu Yan , Huang Jiaying , Liu Dongqi , Kong Xiangjiu , Song Yang , Jing Lan
Published: October 2024

The sunflower, an important oilseed crop and food source across the world, is susceptible to several pathogens, which cause severe losses in sunflower production. The utilization of genetic resistance is the most economical, effective measure to prevent infectious diseases. Based on the sunflower pangenome, in this study, we explored the variability of resistance gene analogs (RGAs) within the species. According to a comparative analysis of RGA candidates in the sunflower pangenome using the RGAugury pipeline, a total of 1344 RGAs were identified, comprising 1107 conserved, 199 varied, and 38 rare RGAs. We also identified RGAs associated with resistance against Sclerotinia sclerotiorum (S. sclerotiorum) in sunflower at the quantitative trait locus (QTL). A total of 61 RGAs were found to be located at four quantitative trait loci (QTLs). Through a detailed expression analysis of RGAs in one susceptible and two tolerant sunflower inbred lines (ILs) across various time points post inoculation, we discovered that 348 RGAs exhibited differential expression in response to Sclerotinia head rot (SHR), with 17 of these differentially expressed RGAs being situated within the QTL regions. In addition, 15 RGA candidates had gene introgression. Our data provide a better understanding of RGAs, which facilitate genomics-based improvements in disease resistance in sunflower.
Reconstructing the Relative Ice-Flow Chronology South of Lake Mistassini in Canada from New Ice-Flow Indicator Mapping
Authors: El Amrani Mohamed , Diani Khadija , Hamza Mohamed Hafedh , Elhag Mohamed , Courba Said , Amine Afaf , Ben Driss Moulay Ahmed , Ousaid Lahcen , Mdiker Nabil , Hahou Youssef , Boudad Larbi
Published: October 2024

Understanding paleo-ice flow chronology is essential for reconstructing past ice mass dynamics, interpreting the current landscape, and identifying the sources of Quaternary sediments in deglaciated regions. A recent systematic mapping of striated bedrock and streamlined landforms south of Lake Mistassini in Canada reveals a complex sequence of five ice flows. The earliest flow was directed to the southeast (SE) and originated from a NE-SW ice divide located northwest of Lake Mistassini at the Last Glacial Maximum. A progressive clockwise rotation of this ice divide, likely triggered during the early deglaciation, appears to have generated ice flows toward the south–southeast (SSE) and then toward the south (S). During the later stages of deglaciation, the flow originated from the Québec–Labrador Dome, initially toward the south–southwest (SSW) and then toward the southwest (SW). This study presents new data on ice flows south of Lake Mistassini and shows that the southward and south–southeastward ice events occurred before the late stage of deglaciation. This interpretation contradicts some previous studies and will contribute to the discussion on the dynamics of the Laurentide Ice Sheet in the Mistassini area and support mineral exploration efforts in the region.
The Synergistic Effect of Limestone Powder and Rice Husk Ash on the Mechanical Properties of Cement-Based Materials
Authors: Wang Jialei , Jiang Feifei , Zhou Juan , Mao Zhongyang
Published: October 2024

Fully utilizing solid waste as supplementary cementitious materials (SCMs) while ensuring the mechanical properties of cement-based materials is one of the pathways for carbon reduction in the cement industry. Understanding the effects of the two solid wastes-limestone powder (LP) and rice husk ash (RHA) on the mechanical properties of cement-based materials is of great significance for their application in concrete. This study investigates the impact of LP and RHA on the strength of cement mortar at various ages and the microhardness of hardened cement paste. The results suggest that two materials have a certain synergistic effect on the mechanical properties of the cementitious materials. The addition of RHA effectively addresses the issues of slow strength development, insufficient late-stage strength of the cementitious material, and the low strength blended with a large amount of LP, while a suitable amount of LP can promote the strength increase in the cement-RHA system. Based on the comprehensive analysis of compressive strength and microhardness, the optimal solution for achieving high mechanical properties in composite cementitious materials is to use 10% each of LP and RHA, resulting in a 9.5% increase in 28 d strength compared to a pure cement system. The higher the content of LP, the greater the increase caused by 10% RHA in compressive strength of the composite system, which makes the strength growth rate of cementitious material mixed with 10% LP at 3–56 d 62.1%. When the LP content is 20% and 30%, the addition of 10% RHA increases the 28 d strength by 44.8% and 38.8%, respectively, with strength growth rates reaching 109.8% and 151.1% at 3–56 d.
Effect of Dual Shot Peening on Microstructure and Wear Performance of CNT/Al-Cu-Mg Composites
Authors: Zhu Wenlong , Liu Huabing , Xing Shilong , Jiang Chuanhai , Ji Vincent
Published: October 2024

This work systematically investigated the effect of dual shot peening (DSP) and conventional shot peening (CSP) on the microstructure, residual stress and wear performance of the CNT/Al-Cu-Mg composites. The results indicated that compared with CSP, DSP effectively reduced surface roughness (Rz) from 31.30 to 12.04 μm. In parallel, DSP introduced a smaller domain size (33.1 nm) and more dislocations, higher levels compressive residual stress and a stiffer deformation layer with deeper affected zones. Moreover, DSP effectively improved the uniformity of the surface layer’s microstructure and residual stress distribution. The improvement is mainly due to secondary impact deformation by microshots and fine grain strengthening. In addition, the transformation of the hard second phases such as Al4C3 and CNT and its effects on improving the surface strength and deformation uniformity were discussed. Significantly, DSP improved the wear resistance by 31.8% under the load of 6 N, which is attributed to the synergistic influence of factors including hardness, compressive residual stress, surface roughness, and grain size. In summary, it can be concluded that DSP is an effective strategy to promote the surface layer characteristics for CNT/Al-Cu-Mg composites.
Study on Friction and Wear Performance of Sliding Metal Seal Materials Under Reciprocating Motion
Authors: Yao Huiqian , Liang Xiaoyang , Guo Lianchao , Wang Xinpeng , Bai Linqing , Wang Chao
Published: October 2024

During petroleum drilling, the reciprocating motion in the seal device leads to piston and sleeve wear, which may cause leakage of the sealing medium. Selecting appropriate materials for the piston and sleeve, along with surface modifications, can effectively prolong the seal service life of the seal. The friction and wear properties of piston and sleeve pairs of different materials in a metal sealing device were simulated by the laboratory “pin-on-block” reciprocating friction test. Pins made of 45# steel, 35CrMo, and 20Cr13 were used to simulate piston bulges, while 35CrMo samples were used to simulate sleeves. Additionally, the influence of DLC (diamond-like carbon) coating and QPQ (Quench–Polish–Quench) nitriding on the wear resistance of the materials was studied. Based on this, the friction and wear properties, along with the wear mechanism of different material pairs, were analyzed. The results show that the friction coefficient curves of the three piston base materials and the 35CrMo sleeve are similar, and the friction coefficient of 45# steel is lower than that of 35CrMo and 20Cr13 at the initial stage. The DLC surface coating exhibited the best anti-wear performance, with the lowest friction coefficient, minimal wear, and the most stable friction coefficient. Surface QPQ nitriding treatment can also improve the wear resistance of the base material. However, due to the oxide formed during nitriding being prone to flaking, the friction coefficient fluctuates significantly at the initial stage of testing, and its anti-wear performance was inferior to that of the DLC coating. This study on material pairing and surface modification provides theoretical support for material selection and surface modification design of pistons and sleeves in oil drilling sealing devices.
Potato Leaf Disease Detection Based on a Lightweight Deep Learning Model
Authors: Chang Chao-Yun , Lai Chih-Chin
Published: October 2024

Traditional methods of agricultural disease detection rely primarily on manual observation, which is not only time-consuming and labor-intensive, but also prone to human error. The advent of deep learning has revolutionized plant disease detection by providing more accurate and efficient solutions. The management of potato diseases is critical to the agricultural industry, as these diseases can lead to substantial losses in crop production. The prompt identification and classification of potato leaf diseases are essential to mitigating such losses. In this paper, we present a novel approach that integrates a lightweight convolutional neural network architecture, RegNetY-400MF, with transfer learning techniques to accurately identify seven different types of potato leaf diseases. The proposed method not only enhances the precision of potato leaf disease detection but also reduces the computational and storage demands, with a mere 0.40 GFLOPs and a model size of 16.8 MB. This makes it well-suited for use on edge devices with limited resources, enabling real-time disease detection in agricultural environments. The experimental results demonstrated that the accuracy of the proposed method in identifying seven potato leaf diseases was 90.68%, providing a comprehensive solution for potato crop management.
Action Recognition in Videos through a Transfer-Learning-Based Technique
Authors: López-Lozada Elizabeth , Sossa Humberto , Rubio-Espino Elsa , Montiel-Pérez Jesús Yaljá
Published: October 2024

In computer vision, human action recognition is a hot topic, popularized by the development of deep learning. Deep learning models typically accept video input without prior processing and train them to achieve recognition. However, conducting preliminary motion analysis can be beneficial in directing the model training to prioritize the motion of individuals with less priority for the environment in which the action occurs. This paper puts forth a novel methodology for human action recognition based on motion information that employs transfer-learning techniques. The proposed method comprises four stages: (1) human detection and tracking, (2) motion estimation, (3) feature extraction, and (4) action recognition using a two-stream model. In order to develop this work, a customized dataset was utilized, comprising videos of diverse actions (e.g., walking, running, cycling, drinking, and falling) extracted from multiple public sources and websites, including Pexels and MixKit. This realistic and diverse dataset allowed for a comprehensive evaluation of the proposed method, demonstrating its effectiveness in different scenarios and conditions. Furthermore, the performance of seven pre-trained models for feature extraction was evaluated. The models analyzed were Inception-v3, MobileNet-v2, MobileNet-v3-L, VGG-16, VGG-19, Xception, and ConvNeXt-L. The results demonstrated that the ConvNeXt-L model yielded the most optimal outcomes. Furthermore, using pre-trained models for feature extraction facilitated the training process on a personal computer with a single graphics processing unit, achieving an accuracy of 94.9%. The experimental findings and outcomes suggest that integrating motion information enhances action recognition performance.
An Explicit Form of Signum Function
Authors: Venetis John
Published: October 2024

In this paper, the author derives an analytical exact form of signum function, which evidently constitutes a fundamental concept of Communication Systems and Control Theory along with digital control systems and is also involved in many other fields of applied mathematics and engineering practices. In particular, this significant function is performed in a simple manner as a finite combination of purely algebraic representations. The novelty of this work when compared to other analytical expressions of this nonlinear function is that the proposed explicit representation is not performed in terms of miscellaneous special functions, such as Bessel functions, error function, and beta function, and also is neither the limit of a function nor the limit of a sequence of functions with a point-wise or uniform convergence.
Two-Tier Configuration Model for the Optimization of Enterprise Costs and User Satisfaction for Rural Microgrids
Authors: Fang Yong , Li Minghao , Yue Yunli , Liu Zhonghua
Published: October 2024

The construction costs and operational challenges of rural microgrids have garnered widespread attention. This study focuses on grid-connected rural microgrids incorporating wind, solar, hydro, and storage systems, and proposes a two-tier optimization configuration model that considers both enterprise costs and user satisfaction. The upper-tier model aims to minimize enterprise costs, covering construction, operation and maintenance, as well as penalties for a curtailment of wind, solar, and hydro power. The lower-tier model evaluates power reliability and cost-effectiveness to maximize user satisfaction. Using the particle swarm optimization algorithm, this study analyzes a case in Yudaokou, Hebei Province, and proposes three optimization schemes: minimizing enterprise costs, maximizing user satisfaction, and a compromise between the two. The optimal scheme, which employs 17 photovoltaic panels, 12 wind turbines, and 15 energy storage units, achieved a user satisfaction score of 0.90. This two-tier planning model provides practical insights for the rational configuration of rural microgrids and reveals the nonlinear relationship between costs and user experience.
Computational Fluid Dynamics (CFD) in Arteriovenous (AV) Graft Implantation Through End-to-Side Anastomosis with Varying Tube Diameters Across Different Vascular Access Locations for Dialysis Treatment
Authors: Panganiban Roland Jayson , Lictaoa Reniela Redem , Mesia Martin Lance , Amorado Jordan Angelo , Cabrera Heherson
Published: October 2024

Background/Objectives: Arteriovenous (AV) graft is a procedure for hemodialysis performed in the arm. Optimizing AV graft design is vital to enhance haemodialytic efficiency in patients with kidney disease. Despite being a standard procedure, making it work optimally is still difficult due to various graft diameters and anastomosis configurations, which have limited studies. This research aims to find the ideal AV graft tube diameter on blood flow and pressure gradients and the ideal body site for AV graft implantation and to study their angles for dialysate flow. Methods: Nine models were designed in Autodesk Fusion 360 with 40°, 50°, and 60° angles each having 2 mm, 5.1 mm, and 14.5 mm diameters, all following specific equations on continuity, momentum (Navier-Stokes Equation)), and the Reynolds Stress Model (RSM). The CFD simulation of these models was performed in ANSYS Fluent with an established parameter of 0.3 m/s inlet velocity and stiff/no-slip graft and artery wall boundary condition. Results: As a result, the design with a diameter of 14.5 mm and a 40° angle was overall the most ideal in terms of minimal wall shear stress and turbulence. Conclusions: Thus the brachiocephalic area or the forearm is calculated to be the most optimal implantation site. Additionally, varying angles do affect dialysate flow, as smaller values cause less stress.
The Transformation of Work—Conducting and Aggregating Research on Human Resources in SMEs Facing Transformation Pressure
Authors: Riesel Fabienne , Bräutigam Volker , Wittmeier Florian
Published: October 2024

Rarely do so many areas of society change as quickly as now. This study analyses the disruptive transformation of HR/qualification in small and medium-sized enterprises (SMEs) in the leading sectors of mechanical and plant engineering and the automotive industry in Lower Franconia, Bavaria. More precisely, this study is about the Mainfranken region. Administratively, it comprises the two independent cities of Würzburg and Schweinfurt as well as seven administrative districts. This paper researches the long-term transformation of the world of work in terms of skill shortages, procurement strategies and employee performance. This study is based on quantitative and qualitative findings from the funding project transform.RMF in the form of an overarching literature review, a commissioned online survey, stakeholder workshops to identify regional trends and self-conducted expert interviews. Unsurprisingly, the shortage of skilled labour is a serious problem for regional SMEs. Managing directors are aware of the need to act in the acquisition and retention of recruited specialists. This includes in-house benefits, New Work models and competitive acquisition strategies. We must overcome the biggest obstacle to transformation—a lack of qualified personnel—together, structurally. Based on our insights, we create recommendations for action and connecting the potential in the network. In the future, the aim will be to intensify cooperation between society, business, science and politics at the regional level—transform.RMF’s mission in the interests of its members.
Evaluation of the Influence of Lorentz Forces on the Natural Frequencies of a Dual-Microcantilever Sensor for Ultralow Mass Detection
Authors: Banchelli Luca , Todorov Georgi , Stavrov Vladimir , Ganev Borislav , Todorov Todor
Published: October 2024

In this paper, the impact of Lorentz forces and temperature on the natural frequencies of a piezoresistive sensor composed of two microcantilevers with integrated U-shaped thin-film aluminum heaters are investigated. Two types of experiments were performed. In the first, the sensor was placed in a magnetic field so that the current flowing in the heater, in addition to raising the temperature, produced Lorentz forces, inducing normal stresses in the plane of one of the microcantilevers. In the second, which were conducted without magnetic fields, only the temperature variation of the natural frequency was left. In processing of the results, the thermal variations were subtracted from the variations due to both Lorentz forces and temperature in the natural frequency, resulting in the influence of the Lorentz forces only. Theoretical relations for the Lorentz frequency offsets were derived. An indirect method of estimating the natural frequency of one of the cantilevers, through a particular cusp point in the amplitude–frequency response of the sensor, was used in the investigations. The findings show that for thin microcantilevers with silicon masses on the order of 4 × 10−7 g and currents of 25 µA, thermal eigenfrequency variations are dominant. The results may have applications in the design of similar microsensors with vibrational action.
Comparative Analysis of Fecal Microbiota Between Adolescents with Early-Onset Psychosis and Adults with Schizophrenia
Authors: Nuncio-Mora Lucero , Nicolini Humberto , Lanzagorta Nuria , García-Jaimes Cynthia , Sosa-Hernández Fernanda , González-Covarrubias Vanessa , Cabello-Rangel Héctor , Sarmiento Emmanuel , Glahn David C. , Genis-Mendoza Alma
Published: October 2024

Studies of the composition of the gut microbiome have consistently shown that psychiatric disorders such as schizophrenia are associated with gut dysbiosis. However, research focusing on adolescents with early-onset psychosis remains limited. This study aimed to characterize the microbial communities and their potential metabolic functions in these populations. We identified that genera Desulfovibrionaceae_Incertae_Sedis, Paraprevotella, and several genera from the Oscillospiraceae family were significantly more abundant in patients with schizophrenia compared to non-psychotic individuals, while Dorea showed decreased levels in schizophrenia patients. Furthermore, patients with early-onset psychosis demonstrated a significant reduction in Staphylococcus abundance. Additionally, we observed an increase in Prevotellaceae Leyella and Prevotellaceae Incertae Sedis in patients receiving atypical antipsychotic treatment, along with a rise in the genus Weissella among those treated with sertraline. Conversely, patients on valproate treatment exhibited decreased levels of Desulfovibrionaceae Incertae Sedis, while showing increased levels of Kandleria and Howardella. Functional prediction analysis using PICRUSt2 revealed significant differences in the expression of key enzymes associated with fatty acid metabolism. Gene orthology analysis identified 10 differentially expressed genes in the early-onset psychosis and schizophrenia groups. Our findings underscore the importance of considering dietary factors, pharmacological treatments, and microbial composition in understanding the gut–brain axis in psychiatric disorders.
Continuous and Dynamic Circulation of West Nile Virus in Mosquito Populations in Bucharest Area, Romania, 2017–2023
Authors: Dinu Sorin , Stancu Ioana Georgeta , Cotar Ani Ioana , Ceianu Cornelia Svetlana , Pintilie Georgiana Victorița , Karpathakis Ioannis , Fălcuță Elena , Csutak Ortansa , Prioteasa Florian Liviu
Published: October 2024

West Nile virus (WNV) is a mosquito-borne pathogen with a worldwide distribution. Climate change and human activities have driven the expansion of WNV into new territories in Europe during the last two decades. Romania is endemic for WNV circulation since at least 1996 when the presence of lineage 1 was documented during an unprecedented outbreak. Lineage 2 was first identified in this country during a second significant human outbreak in 2010. Its continuous circulation is marked by clade replacement, and even co-circulation of different strains of the same clade was observed until 2016. The present study aims to fill the information gap regarding the WNV strains that were circulating in Romania between 2017 and 2023, providing chiefly viral sequences obtained from mosquito samples collected in the Bucharest metropolitan area, complemented by human and bird viral sequences. WNV was detected mainly in Culex pipiens mosquitoes, the vectors of this virus in the region, but also in the invasive Aedes albopictus mosquito species. Lineage 2 WNV was identified in mosquito samples collected between 2017 and 2023, as well as in human sera from patients in southern and central Romania during the outbreaks of 2017 and 2018. Both 2a and 2b sub-lineages were identified, with evidence of multiple clusters and sub-clusters within sub-lineage 2a, highlighting the complex and dynamic circulation of WNV in Romania, as a consequence of distinct introduction events from neighboring countries followed by in situ evolution.
Improving Patient Experience in Outpatient Clinics through Simulation: A Case Study
Authors: Alrabghi Abdullah , Tameem Abdullah
Published: October 2024

This research aims to present a case study on the use of simulation to support operational decision-making and improve the patient experience in outpatient clinics. A simulation model was developed to represent patient flow through the endocrine clinics of the internal medicine department in a large hospital in Saudi Arabia. The research evaluated the impact of using simulation models on different aspects of healthcare facility operations, such as patient flow, resource utilization, and staffing. Potential bottlenecks and inefficiencies in the clinic’s processes were identified. Furthermore, improvements were suggested and evaluated that could significantly reduce patient waiting times and increase the number of patients served. Different scenarios and strategies were evaluated without the need for real-world implementation, which can be costly and time consuming. The model can also be easily modified and adapted to accommodate changes in patient demand, staffing levels, or other factors that may impact clinic operations. The findings demonstrate the utility of simulation models in healthcare management. Overall, the use of simulation models in healthcare management has the potential to revolutionize the way clinics and hospitals operate, leading to improved patient outcomes and more efficient use of resources.
Bis(2-butoxyethyl) Ether-Promoted O2-Mediated Oxidation of Alkyl Aromatics to Ketones under Clean Conditions
Authors: Xie Yangyang , Li Zeping , Xu Xudong , Jiang Han , Chen Keyi , Ou Jinhua , Liu Kaijian , Zhou Yihui , Luo Kejun
Published: October 2024

Conventional oxidation processes for alkyl aromatics to ketones employ oxidants that tend to generate harmful byproducts and cause severe equipment corrosion, ultimately creating critical environmental problems. Thus, in this study, a practical, efficient, and green method was developed for the synthesis of aromatic ketones by applying a bis(2-butoxyethyl) ether/O2 system under external catalyst-, additive-, and base-free conditions. This O2-mediated oxidation system can tolerate various functional groups and is suitable for large-scale synthesis. Diverse target ketones were prepared under clean conditions in moderate-to-high yields. The late-stage functionalization of drug derivatives with the corresponding ketones and one-pot sequential chemical conversions to ketone downstream products further broaden the application prospects of this approach.