bluuebunny/crossref_metadata_2025 huggingface dataset:
Facilitation of motor adaptation using multiple gait rehabilitation interventions
Authors: Hoque Adila , Kim Seok Hun , Reed Kyle B.
Published: October 2024

Introduction

The rate of adjustment in a movement, driven by feedback error, is referred to as the adaptation rate, and the rate of recovery of a newly adapted movement to its unperturbed condition is called the de-adaptation rate. The rates of adaptation and de-adaptation are dependent on the training mechanism and intrinsic factors such as the participant's sensorimotor abilities. This study investigated the facilitation of the motor adaptation and de-adaptation processes for spatiotemporal features of an asymmetric gait pattern by sequentially applying split-belt treadmill (SBT) and asymmetric rhythmic auditory cueing (ARAC).

Methods

Two sessions tested the individual gait characteristics of SBT and ARAC, and the remaining four sessions consisted of applying the two interventions sequentially during training. The adjustment process to the second intervention is referred to as “re-adaptation” and is driven by feedback error associated with the second intervention.

Results

Ten healthy individuals participated in the randomized six-session trial. Spatiotemporal asymmetries during the adaptation and post-adaptation (when intervention is removed) stages were fitted into a two-component exponential model that reflects the explicit and implicit adaptation processes. A double component was shown to fit better than a single-component model. The decay constants of the model were indicative of the corresponding timescales and compared between trials. Results revealed that the explicit (fast) component of adaptation to ARAC was reduced for step length and step time when applied after SBT. Contrarily, the explicit component of adaptation to SBT was increased when it was applied after ARAC for step length. Additionally, the implicit (slow) component of adaptation to SBT was inhibited when applied incongruently after ARAC for step time.

Discussion

These outcomes show that the role of working motor memory as a translational tool between different gait interventions is dependent on (i) the adaptation mechanisms associated with the interventions, (ii) the targeted motor outcome of the interventions; the effects of factors (i) and (ii) are specific to the explicit and implicit components of the adaptation processes; these effects are unique to spatial and temporal gait characteristics.
First results of the surface water ocean topography (SWOT) observations to rivers elevation profiles in the Cuvette Centrale of the Congo Basin
Authors: Normandin Cassandra , Frappart Frédéric , Baghdadi Nicolas , Bourrel Luc , Peña Luque Santiago , Ygorra Bertrand , Kitambo Benjamin , Papa Fabrice , Riazanoff Serge , Wigneron Jean-Pierre
Published: October 2024

Rivers play a crucial role in maintaining ecosystems and regional climates, while also providing essential water for irrigation and drinking. With the increasing impacts of climate change and human activities, rivers are becoming more prone to extreme events (droughts and floods) and induced erosion/deposition processes, making water-related risk management more challenging. The recent launch of the Surface Water and Ocean Topography (SWOT) mission, which focuses on continental surfaces with a spatial resolution of 100 m, has opened new avenues for applications in hydrology, hydrodynamics, and geomorphology. This study examines the initial results of the SWOT mission for sixteen rivers (ranging in width from 50 to 2,000 m) in the Cuvette Centrale of the Congo Basin, obtained in April 2023 during the fast sampling phase. The study assesses water surface elevations (WSE) and backscatter coefficient (σ0) measured from SWOT. Comparisons of WSE with data from other radar altimetry missions (Sentinel-3A and 3B, Jason-3, and Sentinel-6A) and GEDI data show high correlation coefficients of 0.977 (with a bias of 0.538 m) and 0.992 (with a bias of 1.011 m), respectively. The first maps of WSE slopes show realistic values, even in rivers less than 100 m wide, with steeper slopes upstream. Various WSE longitudinal profiles are retrieved with unprecedented spatial resolution, surpassing what other nadir altimetry missions have achieved. The σ0 values, between −10 and 20 dB on average, also appear consistent with other studies. These promising initial results pave the way for future studies on fluvial geomorphology dynamics and erosion/deposition processes from the new SWOT observations.
“A Man With a Loving Heart”: A Systematic Review of Male Involvement in Cervical Cancer Screening in Africa
Authors: Maseko Teluleko N. , Tsoka-Gwegweni Joyce M. , Dlamini Xolisile
Published: October 2024

Objective

This review assessed men’s involvement and the predictors of their involvement in cervical cancer screening.

Methods

We conducted a comprehensive search of the following electronic databases: PubMed, EMBASE, CINAHL, African, Web of Science, and Scopus. The search was limited to articles published between January 2010 and January 2023.

Results

A total of 17 studies met the inclusion criteria and were included for this review. More than 50% of the studies emphasised the relevance of male involvement in cervical cancer prevention in Africa and demonstrated the critical importance of this as a strategy.

Conclusion

The results revealed that a significant proportion of male participants had a restricted comprehension of cervical cancer. Nevertheless, they expressed their willingness to provide backing for cervical cancer screening contingent upon their informed consent.
Underwater Small Target Detection Method Based on the Short-Time Fourier Transform and the Improved Permutation Entropy
Authors: Zhou Jing , Hao Baoan , Li Yaan , Yang Xiangfeng
Published: October 2024

In the realm of underwater active target detection, the presence of reverberation is an important factor that significantly impacts the efficacy of detection. This article introduces the improved permutation entropy algorithm into the analysis of active underwater acoustic signals. Based on the significant difference between the improved permutation entropy in the frequency domain and the time domain, a frequency-domain-improved permutation entropy detection algorithm is proposed. The performance of this algorithm and the energy detection algorithm are compared and analyzed under the same conditions. The results show that the spectral entropy detector is about 2.7 dB better than the energy detector, realized via active small target signal detection under a reverberation background. At the same time, based on the characteristics of improved permutation entropy changing with the length of processed data, the short-time Fourier transform is integrated into frequency domain entropy detection to obtain distance and velocity information of the target. To validate the proposed methods, comparative analysis experiments were executed utilizing actual experiment data. The outcomes of both simulation and actual experiment data processing demonstrated that the sliding entropy feature detection method for signal spectrum has a small computational complexity and can quickly determine whether there is a target echo in the receive data. The two-dimensional entropy feature detection method for short-time signal spectra was found to effectively mitigate the impact of reverberation intensity and while enhancing the prominence of the target signal, thereby yielding a more robust detection outcome.
Estimation of Surface Ozone Effects on Winter Wheat Yield across the North China Plain
Authors: Wang Feng , Wang Tuanhui , Xia Haoming , Song Hongquan , Zhou Shenghui , Zhang Tianning
Published: October 2024

Surface ozone (O3) pollution has adverse impacts on the yield of winter wheat. The North China Plain (NCP), one of the globally significant primary regions for winter wheat production, has been frequently plagued by severe O3 pollution in recent years. In this study, the effects of O3 pollution on winter wheat yield and economic impact were evaluated in the NCP during the 2015–2018 seasons using the regional atmospheric chemical transport model (WRF-Chem), O3 metrics including the phytotoxic surface O3 dose above 12 nmol m−2 s−1 (POD12), and the accumulated daytime O3 above 40 ppb (AOT40). Results showed that the modeled O3, exposure-based AOT40, and flux-based POD12 increased during the winter wheat growing season from 2015 to 2018. The annual average daytime O3, exposure-based AOT40, and flux-based POD12 were 44 ppb, 5.32 ppm h, and 1.78 mmol m−2, respectively. During 2015–2018, winter wheat relative production loss averaged 10.9% with AOT40 and 14.6% with POD12. This resulted in an average annual production loss of 12.4 million metric tons, valued at approximately USD 4.5 billion. This study enhances our understanding of the spatial sensitivity of winter wheat to O3 impacts, and suggests that controlling O3 pollution during the key growth stages of winter wheat or improving its O3 tolerance will enhance food security.
YOLOv5s-ECCW: A Lightweight Detection Model for Sugarcane Smut in Natural Environments
Authors: Yu Min , Li Fengbing , Song Xiupeng , Zhou Xia , Zhang Xiaoqiu , Wang Zeping , Lei Jingchao , Huang Qiting , Zhu Guanghu , Huang Weihua , Huang Hairong , Chen Xiaohang , Yang Yunhai , Huang Dongmei , Li Qiufang , Fang Hui , Yan Meixin
Published: October 2024

Sugarcane smut, a serious disease caused by the fungus Sporosorium scitamineum, can result in 30% to 100% cane loss. The most affordable and efficient measure of preventing and handling sugarcane smut disease is to select disease-resistant varieties. A comprehensive evaluation of disease resistance based on the incidence of smut disease is essential during the selection process, necessitating the rapid and accurate identification of sugarcane smut. Traditional identification methods, which rely on visual observation of symptoms, are time-consuming, costly, and inefficient. To address these limitations, we present the lightweight sugarcane smut detection model (YOLOv5s-ECCW), which incorporates several innovative features. Specifically, the EfficientNetV2 is incorporated into the YOLOv5 network to achieve model compression while maintaining high detection accuracy. The convolutional block attention mechanism (CBAM) is added to the backbone network to improve its feature extraction capability and suppress irrelevant information. The C3STR module is used to replace the C3 module, enhancing the ability to capture global large targets. The WIoU loss function is used in place of the CIoU one to improve the bounding box regression’s accuracy. The experimental results demonstrate that the YOLOv5s-ECCW model achieves a mean average precision (mAP) of 97.8% with only 4.9 G FLOPs and 3.25 M parameters. Compared with the original YOLOv5, our improvements include a 0.2% increase in mAP, a 54% reduction in parameters, and a 70.3% decrease in computational requirements. The proposed model outperforms YOLOv4, SSD, YOLOv5, and YOLOv8 in terms of accuracy, efficiency, and model size. The YOLOv5s-ECCW model meets the urgent need for the accurate real-time identification of sugarcane smut, supporting better disease management and selection of resistant varieties.
Identification and Biocontrol of Cladosporium Mold Caused by Cladosporium cladosporioides on Wheat Spikes in Central China
Authors: Zhu Mo , Bai Hongxia , Zhang Wanwan , Zhao Sujing , Qiu Zongbo , He Fei
Published: October 2024

Wheat (Triticum aestivum L.) is one of the most agriculturally and economically important crops in the world. Wheat fungal diseases are becoming more severe and frequent due to global climate change, threatening wheat yields and security. While fungal diseases such as fusarium head blight, stripe rust, and powdery mildew have been extensively studied, the newly emerged fungal pathogens in wheat are still under-researched. In May 2023, black mold symptoms were observed on wheat spikes in Xinxiang City, Henan Province, China. However, the causal agent of this disease was not known. We employed a combination of morphological examination and molecular techniques to identify the pathogen. The internal transcribed spacer (ITS) region, translation elongation factor 1-alpha (tef1), and actin (act) genes of the fungus were partially sequenced (accession no. OR186209, PQ271633 and PQ271632) and showed 99.59–100% identity with the previously reported Cladosporium cladosporioides, which affects wheat, pokeweed, and black-eyed pea. The pathogenicity of this fungus was confirmed by fulfilling Koch’s postulates. Through a rigorous screening process, we found Simplicillium aogashimaense, Trichothecium roseum, and Bacillus velezensis as effective biocontrol agents, with B. velezensis demonstrating the most potent antagonistic activity against the Cladosporium mold. This discovery showed the potential of B. velezensis as a biocontrol agent for wheat disease management. The findings underscore the importance of the present study in advancing the control of this disease.
Application of Biogas Residues in Circular Agricultural Ecological Parks: Food Security and Soil Health
Authors: Zhang Yixing , Yang Dongyu , Zhang Jianheng , Wang Xinxin , Wang Guiyan
Published: October 2024

Circular agriculture is an inevitable trend in the sustainable development of global agriculture. At present, there are issues such as insufficient utilization of resources, serious land pollution, and lack of technical support in circular agricultural ecological parks. This study explores the safe application of organic fertilizer to field crops within circular agricultural ecological parks. A peanut (Arachis hypogaea L.)–wheat (Triticum aestivum L.)–maize (Zea mays L.) crop rotation system was selected to research safe application methods of biogas residues on the peanut–wheat–maize crop rotation system. In this experiment, we set up different amounts of biogas residues as the base fertilizers, with no fertilizer and only chemical fertilizer treatments serving as controls. We determined the yield, quality, heavy metal content, and nutrient uptake of wheat, maize, and peanuts, as well as soil nutrient content and heavy metal content under different biogas residue application rates. The results of the experiment are as follows: (1) Biogas residue as a base fertilizer increased the yield of peanuts, wheat, and maize. The highest yield for each crop occurred when the biogas residue amount was 67,500 kg hm−2, with yield increases of 36.7%, 26.6%, and 14.1% for peanuts, wheat, and maize, respectively, compared to the no fertilizer treatment. (2) The application of biogas residue improved the seed quality of peanuts, wheat, and maize. The B3 treatment showed strong quality improvement potential, increasing peanut crude protein content by 3.92–7.48%, soluble sugar content by 36.99–49.70%, crude fat content by 0.95–3.27%, wheat crude protein content by 2.22–8.72%, soluble sugar content by 6.21–8.51%, maize crude protein content by 2.87–3.61%, and soluble sugar content by 21.62–28.05% compared to the control. (3) The application of biogas residue enhanced the uptake of nutrients by crops and increased the contents of effective nutrients in the soil. (4) The application of biogas residue did not cause excessive accumulation of heavy metals in crops and soil. In conclusion, the application of biogas residue positively impacts crop growth, quality, and soil health in circular agricultural ecological parks, and has potential in agricultural production systems. Future research should focus on determining the optimal ratio of organic and chemical fertilizers, their efficient use, and the mechanisms by which organic fertilizer application can increase crop yield and quality, as well as improve soil quality.
Key Microorganisms Influencing Mineral-Protected Organic Carbon Formation in Soils with Exogenous Carbon Addition
Authors: Zhang Limin , Luo Yuanhong , Wang Yang , Zhang Chengfu , Cai Guojun , Su Weici , Yu Lifei
Published: October 2024

The formation of mineral-protected organic carbon (MPOC) is a vital process for soil organic carbon (SOC) accumulation and stabilization, influenced by factors such as exogenous carbon (C) input and soil microorganisms. However, the dynamics of MPOC and soil microorganisms following exogenous C input, and the key microorganisms driving MPOC formation, remain poorly understood. To address this, we conducted exogenous C addition culture experiments to investigate changes in MPOC and soil microorganisms and identify the primary microorganisms influencing MPOC formation. We observed that the MPOC content in treated soils increased over time, ranging from 0.43 to 2.06 g kg−1. MPOC showed a significant positive correlation with soil bacterial diversity and a significant negative correlation with fungal diversity. Soil samples contained 248 bacterial families and 189 fungal genera, with Oxalobacteraceae (7.42%) and unclassified_k__Fungi (24.82%) being the most abundant, respectively. Using FAPROTAX and FunGuild ecological function prediction methods, we analyzed soil bacteria and fungi functional profiles and abundances. We identified the main bacterial families influencing MPOC formation as Microbacteriaceae, Mycobacteriaceae, Pseudomonadaceae, Streptomycetaceae, and Xanthomonadaceae. The primary fungal genera were Cylindrocarpon, Leohumicola, Metarhizium, Neobulgaria, Neopestalotiopsis, Olpidium, and Tetracladium. These findings provide theoretical support for understanding microbial regulation mechanisms in soil C sequestration and emission reduction.
Use of Beauveria bassiana and Bacillus amyloliquefaciens Strains as Gossypium hirsutum Seed Coatings: Evaluation of the Bioinsecticidal and Biostimulant Effects in Semi-Field Conditions
Authors: Papantzikos Vasileios , Mantzoukas Spiridon , Koutsompina Alexandra , Karali Evangelia M. , Eliopoulos Panagiotis A. , Servis Dimitrios , Bitivanos Stergios , Patakioutas George
Published: October 2024

There are many challenges in cotton cultivation, which are mainly linked to management practices and market demands. The textile commerce requirements are increasing but the effects of climate change on cotton cultivation are becoming an issue, as its commercial development depends significantly on the availability of favorable climatic parameters and the absence of insect pests. In this research, it was studied whether the use of two commercial strains as cotton seed coatings could effectively contribute to the previous obstacles. The experiment was carried out in semi-field conditions at the University of Ioannina. It used a completely randomized design and lasted for 150 days. The following treatments were tested: (a) coated seeds with a commercial strain of Beauveria bassiana (Velifer®); (b) coated seeds with a combination of Velifer® and a commercial strain of Beauveria bassiana (Selifer®); and (c) uncoated cotton seeds (control). The biostimulant effect of the two seed coatings was assessed against the growth characteristics of cotton, and the total chlorophyll and proline content. The bioinsecticidal effect was evaluated by measuring the population of Aphis gossypii on the cotton leaves. The proline effect increased by 15% in the treated plants, whereas the total chlorophyll was higher in the use of both Velifer® and Velifer®–Selifer® treatments by 32% and 19%, respectively. Aphid populations also decreased in the treated plants compared to the control plants (29.9% in Velifer® and 22.4% in Velifer®–Selifer®). Based on an assessment of the above parameters, it follows that the two seed coatings can significantly enhance the growth performance of cotton and reduce the abundance of A. gossypii.
Collaborative Robots with Cognitive Capabilities for Industry 4.0 and Beyond
Authors: Sandini Giulio , Sciutti Alessandra , Morasso Pietro
Published: October 2024

The robots that entered the manufacturing sector in the second and third Industrial Revolutions (IR2 and IR3) were designed for carrying out predefined routines without physical interaction with humans. In contrast, IR4* robots (i.e., robots since IR4 and beyond) are supposed to interact with humans in a cooperative way for enhancing flexibility, autonomy, and adaptability, thus dramatically improving productivity. However, human–robot cooperation implies cognitive capabilities that the cooperative robots (CoBots) in the market do not have. The common wisdom is that such a cognitive lack can be filled in a straightforward way by integrating well-established ICT technologies with new AI technologies. This short paper expresses the view that this approach is not promising and suggests a different one based on artificial cognition rather than artificial intelligence, founded on concepts of embodied cognition, developmental robotics, and social robotics. We suggest giving these IR4* robots designed according to such principles the name CoCoBots. The paper also addresses the ethical problems that can be raised in cases of critical emergencies. In normal operating conditions, CoCoBots and human partners, starting from individual evaluations, will routinely develop joint decisions on the course of action to be taken through mutual understanding and explanation. In case a joint decision cannot be reached and/or in the limited case that an emergency is detected and declared by top security levels, we suggest that the ultimate decision-making power, with the associated responsibility, should rest on the human side, at the different levels of the organized structure.
Imidazoles and Quaternary Ammonium Compounds as Effective Therapies against (Multidrug-Resistant) Bacterial Wound Infections
Authors: Van de Vliet Lauren , Vackier Thijs , Thevissen Karin , Decoster David , Steenackers Hans P.
Published: October 2024

Background/Objectives: The rise and spread of antimicrobial resistance complicates the treatment of bacterial wound pathogens, further increasing the need for newer, effective therapies. Azoles such as miconazole have shown promise as antibacterial compounds; however, they are currently only used as antifungals. Previous research has shown that combining azoles with quaternary ammonium compounds yields synergistic activity against fungal pathogens, but the effect on bacterial pathogens has not been studied yet. Methods: In this study, the focus was on finding active synergistic combinations of imidazoles and quaternary ammonium compounds against (multidrug-resistant) bacterial pathogens through checkerboard assays. Experimental evolution in liquid culture was used to evaluate the possible emergence of resistance against the most active synergistic combination. Results: Several promising synergistic combinations were identified against an array of Gram-positive pathogens: miconazole/domiphen bromide, ketoconazole/domiphen bromide, clotrimazole/domiphen bromide, fluconazole/domiphen bromide and miconazole/benzalkonium chloride. Especially, miconazole with domiphen bromide exhibits potential, as it has activity at a low concentration against a broad range of pathogens and shows an absence of strong resistance development over 11 cycles of evolution. Conclusions: This study provides valuable insight into the possible combinations of imidazoles and quaternary ammonium compounds that could be repurposed for (topical) wound treatment. Miconazole with domiphen bromide shows the highest application potential as a possible future wound therapy. However, further research is needed into the mode of action of these compounds and their efficacy and toxicity in vivo.
Molecular Evolution and Pathogenicity of Methicillin-Resistant Staphylococcus aureus
Authors: Zhang Kunyan
Published: October 2024

Staphylococcus aureus is a Gram-positive and coagulase-positive pathogen, belonging to the Staphylococcaceae family [...]
Comparative Analyses of Dynamic Transcriptome Profile of Heart Highlight the Key Response Genes for Heat Stress in Zhikong Scallop Chlamys farreri
Authors: Wang Xinyuan , Yang Zujing , Peng Cheng , Yu Haitao , Cui Chang , Xing Qiang , Hu Jingjie , Bao Zhenmin , Huang Xiaoting
Published: October 2024

Heat stress resulting from global climate change has been demonstrated to adversely affect growth, development, and reproduction of marine organisms. The Zhikong scallop (Chlamys farreri), an important economical mollusk in China, faces increasing risks of summer mortality due to the prolonged heat waves. The heart, responsible for transporting gas and nutrients, is vital in maintaining homeostasis and physiological status in response to environmental changes. In this study, the effect of heat stress on the cardiac function of C. farreri was investigated during the continuous 30-day heat stress at 27 °C. The results showed the heart rate of scallops increased due to stress in the initial phase of high temperature exposure, peaking at 12 h, and then gradually recovered, indicating an acclimatization at the end of the experiment. In addition, the levels of catalase (CAT), superoxide dismutase (SOD), and total antioxidant capacity (T-AOC) exhibited an initial increase followed by recovery in response to heat stress. Furthermore, transcriptome analysis of the heart identified 3541 differentially expressed genes (DEGs) in response to heat stress. Subsequent GO and KEGG enrichment analysis showed that these genes were primarily related to signal transduction and oxidative stress, such as the phosphatidylinositol signaling system, regulation of actin cytoskeleton, MAPK signaling pathway, FoxO signaling pathway, etc. In addition, two modules were identified as significant responsive modules according to the weighted gene co-expression network analysis (WGCNA). The upregulation of key enzymes within the base excision repair and gap junction pathways indicated that the heart of C. farreri under heat stress enhanced DNA repair and maintained cellular integrity. In addition, the variable expression of essential signaling molecules and cytoskeletal regulators suggested that the heart of C. farreri modulated cardiomyocyte contraction, intracellular signaling, and heart rate through complex regulation of phosphorylation and calcium dynamics in response to heat stress. Collectively, this study enhances our understanding of cardiac function and provides novel evidence for unraveling the mechanism underlying the thermal response in mollusks.
The Effect of Multilayer Nanoemulsion on the In Vitro Digestion and Antioxidant Activity of β-Carotene
Authors: Sun Mei Zi , Kim Do-Yeong , Baek Youjin , Lee Hyeon Gyu
Published: October 2024

The objectives of this study were to design multilayer oil-in-water nanoemulsions using a layer-by-layer technique to enhance the stability of β-carotene and evaluate its effect on in vitro release and antioxidant activity. To prepare β-carotene-loaded multilayer nanoemulsions (NEs), a primary NE (PRI-NE) using Tween 20 was coated with chitosan (CS) for the secondary NE (SEC-CS), and with dextran sulfate (DS) and sodium alginate (SA) for the two types of tertiary NEs (TER-DS, TER-SA). The multilayer NEs ranged in particle size from 92 to 110 nm and exhibited high entrapment efficiency (92–99%). After incubation in a simulated gastrointestinal tract model, the release rate of free fatty acids decreased slightly after coating with CS, DS, and SA. The bioaccessibility of β-carotene was 7.02% for the PRI-NE, 7.96% for the SEC-CS, 10.88% for the TER-DS, and 10.25% for the TER-SA. The 2,2-diphenyl-1-picrylhydrazyl radical scavenging abilities increased by 1.2 times for the multilayer NEs compared to the PRI-NE. In addition, the cellular antioxidant abilities improved by 1.8 times for the TER-DS (87.24%) compared to the PRI-NE (48.36%). Therefore, multilayer nanoemulsions are potentially valuable techniques to improve the stability, in vitro digestion, and antioxidant activity of β-carotene.
Intelligent Structural Health Monitoring and Noncontact Measurement Method of Small Reservoir Dams Using UAV Photogrammetry and Anomaly Detection
Authors: Zhao Sizeng , Kang Fei , He Lina , Li Junjie , Si Yiqing , Xu Yiping
Published: October 2024

This study proposes a UAV-based remote measurement method for accurately locating pedestrians and other small targets within small reservoir dams. To address the imprecise coordinate information in reservoir areas after prolonged operations, a transformation method for converting UAV coordinates into the local coordinate system without relying on preset parameters is introduced, accomplished by integrating the Structure from Motion (SfM) algorithm to calculate the transformation parameters. An improved YOLOv8 network is introduced for the high-precision detection of small pedestrian targets, complemented by a laser rangefinder to facilitate accurate 3D locating of targets from varying postures and positions. Furthermore, the integration of a thermal infrared camera facilitates the detection and localization of potential seepage. The experimental validation and application across two real small reservoir dams confirm the accuracy and applicability of the proposed approach, demonstrating the efficiency of the proposed routine UAV surveillance strategy and proving its potential to establish electronic fences and enhance maintenance operations.
Acute Fatigue Impairs Heart Rate Variability and Resting Muscle Oxygen Consumption Kinetics
Authors: Vasquez-Bonilla Aldo A. , Yáñez-Sepúlveda Rodrigo , Tuesta Marcelo , Martin Eduardo Báez-San , Monsalves-Álvarez Matías , Olivares-Arancibia Jorge , Duclos-Bastías Daniel , Recabarren-Dueñas Catalina , Alacid Fernando
Published: October 2024

This study evaluated the influence of acute fatigue on heart rate variability (HRV) and muscle oxygen saturation (SmO2) at rest, as well as the reliability of SmO2 data measured using near-infrared spectroscopy (NIRS) during a vascular occlusion test (VOT). Twelve physically active subjects participated. Measurements included perceived muscle soreness using the visual analog scale (VAS pain), HRV parameters, variables of resting SmO2 (desaturation and resaturation), and reoxygenation kinetics (mean response time, MRT) through a VOT-NIRS located in the vastus lateralis (VL). Measurements were taken at three points: 24 h before, before exhaustive exercise, and 30 min after exhaustive exercise. The results indicated that acute fatigue increased resting muscle oxygen consumption in desaturation (+22 SmO2) and resaturation (+18 SmO2), improved MRT (−15 s), and elevated sympathetic nervous system (SNS) activity, as observed in the R-R interval (−262 ms) and SNS index (+0.5). HRV significantly influenced desaturation (r2 = 0.69), resaturation (r2 = 0.60), and MRT (r2 = 0.54). Reliability was established with an ICC of 0.49 and 0.63 for desaturation and resaturation, respectively. Real changes in desaturation and resaturation should be considered ≥ 7% SmO2 at rest and ≥ 11% SmO2 to avoid daily fatigue interference. In conclusion, acute fatigue increases resting SmO2 consumption and is associated with higher SNS activity and increased VAS pain.
An Anomaly Detection Method for Oilfield Industrial Control Systems Fine-Tuned Using the Llama3 Model
Authors: Zhao Jianming , Jin Ziwen , Zeng Peng , Sheng Chuan , Wang Tianyu
Published: October 2024

The device anomaly detection in an industrial control system (ICS) is essential for identifying devices with abnormal operating states or unauthorized access, aiming to protect the ICS from unauthorized access, malware, operational errors, and hardware failures. This paper addresses the issues of numerous manufacturers, complex models, and incomplete information by proposing a fingerprint extraction method based on ICS protocol communication models, applied to an anomaly detection model fine-tuned using the Llama3 model. By considering both hardware and software characteristics of ICS devices, the paper designs a fingerprint vector that can be extracted in both active and passive network communication environments. Experimental data include real ICS network traffic from an oilfield station and extensive ICS device traffic data obtained through network scanning tools. The results demonstrate that the proposed method outperforms existing methods in terms of accuracy and applicability, especially in differentiating devices from various manufacturers and models, significantly enhancing anomaly detection performance. The innovation lies in using large language models for feature extraction and the anomaly detection of device fingerprints, eliminating dependency on specific ICS scenarios and protocols while substantially improving detection accuracy and applicability.
Structural Detection and Restoration Proposal for the Mardin Şahkulubey Cupola
Authors: Ateş Tahir , Gökdemir Ahmet , Ahiskali Ömer Kadir
Published: October 2024

Background: Mardin is a unique city in terms of linguistic, religious, and cultural diversity, within an atmosphere of tolerance, while various historical artifacts reflect these to the present day. This ancient city hosted numerous civilizations and experienced peak economic and political stability in the 12th century during the Artukid period. Many of the works that have endured to this day reflect that period. The Şahkulubey Cupola is one of the rare works that have survived to the present day. In this study, an analysis of the existing materials is performed to shed light on the restoration works related to the Şahkulubey Cupola. Samples were taken from the east, west, north, and south facade walls, which were deteriorated structurally. Scanning Electron Microscopy (S.E.M.) and Energy Distribution Spectroscopy (E.D.S.) analyses were conducted, and the samples’ related material properties were tested. In addition, the samples’ density, water absorption, and compressive strength properties were measured. As a result, it will be possible to conduct the restoration works with materials compatible with the existing structure of the Şahkulubey Cupola.
Biomineralization Process Inspired In Situ Growth of Calcium Carbonate Nanocrystals in Chitosan Hydrogels
Authors: Zeng Xinyue , Zhu Zheng , Chang Wei , Wu Bin , Huang Wei
Published: October 2024

Biological composites such as bone, nacre, and teeth show excellent mechanical efficiency because of the incorporation of biominerals into the organic matrix at the nanoscale, leading to hierarchical composite structures. Adding a large volume of ceramic nanoparticles into an organic molecular network uniformly has been a challenge in engineering applications. However, in natural organisms, biominerals grow inside organic fibers, such as chitin and collagen, forming perfect ceramic/polymer composites spontaneously via biomineralization processes. Inspired from these processes, the in situ growth of calcium carbonate nanoparticles inside the chitosan network to form ceramic composites was proposed in the current work. The crystal growth of CaCO3 nanoparticles in the chitosan matrix as a function of time was investigated. A weight percentage of ~35 wt% CaCO3 composite was realized, resembling the high weight percentage of mineral phase in bones. Scanning and transmission electron microscopy indicated the integration of CaCO3 nanocrystals with chitosan macromolecules. By growing CaCO3 minerals inside the chitosan matrix, the elastic modulus and tensile strength increases by ~110% and ~90%, respectively. The in situ crystal growth strategy was also demonstrated in organic frameworks prepared via 3D printing, indicating the potential of fabricating ceramic/polymer composites with complicated structures, and further applications in tissue engineering.
Fenugreek: New Therapeutic Resource or Emerging Allergen?
Authors: Alessandrello Clara , Sanfilippo Serena , Gangemi Sebastiano , Pioggia Giovanni , Minciullo Paola Lucia
Published: October 2024

Background: Fenugreek, or Trigonella foenum greacum, is an ancient medicinal plant native to the eastern Mediterranean that later spread to Asia; it is used as a medicinal herb, spice, or food. It is a component of spice mixes, such as curry, and it is also used as a supplement in wheat and corn flour for bread making. Fenugreek appears to have many health benefits and potential medicinal properties; for this reason, it is increasingly being used in nutraceutical formulations. This study aimed to describe patients who visited our operative unit for a suspected adverse reaction after ingestion of fenugreek and to highlight possible cross-reactivity between fenugreek and other legumes or other foods. Methods: A total of 13 patients (5 males and 8 females; mean age: 30.6; range: 20–42 years) visited our outpatient clinic with a clinical history suggestive of an allergic reaction to spices or legumes. They underwent a skin prick test for fenugreek, fresh foods, and food extracts. Results: A total of 6 out of 13 patients positive for fenugreek had experienced allergic symptoms after ingesting foods containing spices, and 10 patients presented polysensitization with other legumes, of which 8 also presented sensitization to pistachios. Conclusions: Given the increasing use of novel spices in Mediterranean cuisine and the possible spread of fenugreek-based nutraceuticals, it is relevant to draw attention to possible allergic reactions. Further studies are also needed to be able to establish its cross-reactivity pattern.
How Climate Change Will Shape Pesticide Application in Quebec’s Golf Courses: Insights with Deep Learning Based on Assessing CMIP5 and CMIP6
Authors: Ebtehaj Isa , Fortin Josée , Bonakdari Hossein , Grégoire Guillaume
Published: October 2024

The accelerating impact of climate change on golf course conditions has led to a significant increase in pesticide dependency, underscoring the importance of innovative management strategies. The shift from Coupled Model Intercomparison Project Phase 5 (CMIP5) to the latest CMIP6 phase has drawn the attention of professionals, including engineers, decision makers, and golf course managers. This study evaluates how climate projections from CMIP6, using Canadian Earth System Models (CanESM2 and CanESM5), impact pesticide application trends on Quebec’s golf courses. Through the comparison of temperature and precipitation projections, it was found that a more substantial decline in precipitation is exhibited by CanESM2 compared to CanESM5, while the latter projects higher temperature increases. A comparison between historical and projected pesticide use revealed that, in most scenarios and projected periods, the projected pesticide use was substantially higher, surpassing past usage levels. Additionally, in comparing the two climate change models, CanESM2 consistently projected higher pesticide use across various scenarios and projected periods, except for RCP2.6, which was 27% lower than SSP1-2.6 in the second projected period (PP2). For all commonly used pesticides, the projected usage levels in every projected period, according to climate change models, surpass historical levels. When comparing the two climate models, CanESM5 consistently forecasted greater pesticide use for fungicides, with a difference ranging from 65% to 222%, and for herbicides, with a difference ranging from 114% to 247%, across all projected periods. In contrast, insecticides, growth regulators, and rodenticides displayed higher AAIR values in CanESM2 during PP1 and PP3, showing a difference of 28% to 35.6%. However, CanESM5 again projected higher values in PP2, with a difference of 1.5% to 14%.
Numerical Simulations of Complex Helmholtz Equations Using Two-Block Splitting Iterative Schemes with Optimal Values of Parameters
Authors: Liu Chein-Shan , Chang Chih-Wen , Tsai Chia-Cheng
Published: October 2024

For a two-block splitting iterative scheme to solve the complex linear equations system resulting from the complex Helmholtz equation, the iterative form using descent vector and residual vector is formulated. We propose splitting iterative schemes by considering the perpendicular property of consecutive residual vector. The two-block splitting iterative schemes are proven to have absolute convergence, and the residual is minimized at each iteration step. Single and double parameters in the two-block splitting iterative schemes are derived explicitly utilizing the orthogonality condition or the minimality conditions. Some simulations of complex Helmholtz equations are performed to exhibit the performance of the proposed two-block iterative schemes endowed with optimal values of parameters. The primary novelty and major contribution of this paper lies in using the orthogonality condition of residual vectors to optimize the iterative process. The proposed method might fill a gap in the current literature, where existing iterative methods either lack explicit parameter optimization or struggle with high wave numbers and large damping constants in the complex Helmholtz equation. The two-block splitting iterative scheme provides an efficient and convergent solution, even in challenging cases.
Use of Metallic Nanoparticles Synthesized from Plant Extracts in Wound Healing—A Review
Authors: Gusmão Anaís Bezerra de , Albuquerque Priscilla Barbosa Sales de , Correia Ana Carolina de Carvalho
Published: October 2024

Wound healing is rarely seen as a problem in healthy individuals; however, under certain pathophysiological conditions, this process can be impaired, leading to the emergence of chronic wounds, which are themselves a serious public health problem. This work aimed to review the most important recent literature on the use of nanoparticles of Ag, Au, and Zn produced from plant extracts and their application as healing agents. To that end, we provide an insight into the pathophysiology of wound healing and the main routes to obtaining metallic nanoparticles. The methodology of synthesis, which is part of the so-called green synthesis, has been the focus of several studies on the use of medicinal plants as a substrate to produce silver, gold, and zinc nanoparticles. Their use as wound healing agents is closely related to their natural antimicrobial, anti-inflammatory, and cicatrizing properties. Finally, we address in vitro and in vivo studies on the efficiency of metallic nanoparticles (MNPs) synthesized from plant extracts and applied to wound healing in different pharmaceutical forms. For instance, the excellent wound contraction rates obtained from silver and gold NPs, respectively, were obtained from Euphorbia milii (92%) and Plectranthus aliciae (almost 97%) extracts in in vivo and in vitro analyses. Based on the satisfactory results, we find that MNPs are a potential therapeutic alternative compared to traditional synthetic healing agents and foresee the production of new pharmaceutical drugs.
Source Attribution Analysis of an Ozone Concentration Increase Event in the Main Urban Area of Xi’an Using the WRF-CMAQ Model
Authors: Wang Ju , Cai Yuxuan , Zou Sainan , Zhou Xiaowei , Fang Chunsheng
Published: October 2024

The significant increase in ambient ozone (O3) levels across China highlights the urgent need to investigate the sources and mechanisms driving regional O3 events, particularly in densely populated urban areas. This study focuses on Xi’an, located in northwestern China on the Guanzhong Plain near the Qinling Mountains, where the unique topography contributes to pollutant accumulation. Urbanization and industrial activities have significantly increased pollutant emissions. Utilizing the Weather Research and Forecasting–Community Multiscale Air Quality Model (WRF-CMAQ), we analyzed the contributions of specific regional and industrial sources to rising O3 levels, particularly during an atypical winter event characterized by unusually high concentrations. Our findings indicated that boundary conditions were the primary contributor to elevated O3 levels during this event. Notably, Xianyang and Baoji accounted for 30% and 22% of the increased O3 levels in Xi’an, respectively. Additionally, residential sources and transportation accounted for 31% and 28% of the O3 increase. Within the Xi’an metropolitan area, Baqiao District (18–27%) and Weiyang District (23–30%) emerged as leading contributors. The primary industries contributing to this rise included residential sources (28–37%) and transportation (35–43%). These insights underscore the need for targeted regulatory measures to mitigate O3 pollution in urban settings.
Complex Interaction between Gut Microbiome and Autoimmunity: Focus on Antiphospholipid Syndrome
Authors: Akinsulie Olalekan Chris , Olowu Babatunde Ibrahim , Adesola Ridwan Olamilekan , Adenaya Adenike , Banwo Olamilekan Gabriel , Ugwu Charles Egede , Idris Ibrahim , Babawale Pius , Akande Qudus Afolabi , Olukogbe Oluwagbemisola Oyin , Shahzad Sammuel , Akinsulie Jesuferanmi Mary
Published: October 2024

Antiphospholipid syndrome (APS), also known as Hughes syndrome, is a systemic autoimmune disorder characterized by recurrent thrombosis and pregnancy complications, accompanied by the presence of antiphospholipid antibodies (aPLs). These antibodies target anionic phospholipids or protein–phospholipid complexes within cell membranes, contributing to the underlying mechanisms of the disease. Although anticoagulation therapy remains the cornerstone of APS management, it often fails to prevent complications, particularly in obstetric and thrombotic cases. As autoimmune diseases become increasingly linked to alterations in the gut microbiome, this study investigates the complex interaction between gut bacteria and immune modulation in APS. We explore how disruptions in the gut microbiome may influence the development of autoimmune conditions, with a specific focus on APS. By identifying key microorganisms potentially involved in this gut–immune axis, we aim to provide insights into novel preventive and control approaches. Future research should focus on harnessing the gut microbiome to develop more effective treatments that target both the immune system and microbial populations in APS patients.
A Versatile Microfluidic Device System that Lacks a Synthetic Extracellular Matrix Recapitulates the Blood–Brain Barrier and Dynamic Tumor Cell Interaction
Authors: Santillán-Cortez Daniel , Castell-Rodríguez Andrés , González-Arenas Aliesha , Suárez-Cuenca Juan , Pérez-Koldenkova Vadim , Añorve-Bailón Denisse , Toledo-Lozano Christian , García Silvia , Escamilla-Tilch Mónica , Mondragón-Terán Paul
Published: October 2024

Microfluidic systems offer controlled microenvironments for cell-to-cell and cell-to-stroma interactions, which have precise physiological, biochemical, and mechanical features. The optimization of their conditions to best resemble tumor microenvironments constitutes an experimental modeling challenge, particularly regarding carcinogenesis in the central nervous system (CNS), given the specific features of the blood–brain barrier (BBB). Gel-free 3D microfluidic cell culture systems (gel-free 3D-mFCCSs), including features such as self-production of extracellular matrices, provide significant benefits, including promoting cell–cell communication, interaction, and cell polarity. The proposed microfluidic system consisted of a gel-free culture device inoculated with human brain microvascular endothelial cells (HBEC5i), glioblastoma multiforme cells (U87MG), and astrocytes (ScienCell 1800). The gel-free 3D-mFCCS showed a diffusion coefficient of 4.06 × 10−9 m2·s−1, and it reconstructed several features and functional properties that occur at the BBB, such as the vasculogenic ability of HBEC5i and the high duplication rate of U87MG. The optimized conditions of the gel-free 3D-mFCCS allowed for the determination of cellular proliferation, invasion, and migration, with evidence of both physical and biochemical cellular interactions, as well as the production of pro-inflammatory cytokines. In conclusion, the proposed gel-free 3D-mFCCSs represent a versatile and suitable alternative to microfluidic systems, replicating several features that occur within tumor microenvironments in the CNS. This research contributes to the characterization of microfluidic approaches and could lead to a better understanding of tumor biology and the eventual development of personalized therapies.