bluuebunny/crossref_metadata_2025 huggingface dataset:
Shear Lag Effect on Box Steel Beams with Wide Curved Flanges
Authors: Vukoja Hrvoje , Vlašić Anđelko , Srbić Mladen
Published: September 2024

For wide flange box sections, conventional Euler–Bernoulli beam theory with maintaining the cross-section planarity may lead to underestimation of axial stresses. Axial stresses in cross-section flanges may have a non-uniform distribution due to shear pliability, decreasing in value from the flange–web junction to the middle area of the flange. This phenomenon leads to the introduction of an effective flange width with a uniform distribution of original maximum stress. Furthermore, the introduction of flange curvature makes it even more complex due to the varying lever arm of each flange part with respect to the neutral bending axis. Because of this, in some cases, it is hard to predict where the flange’s highest normal stress value will appear. In this paper, the shear lag effect on wide curved box sections is analyzed through parametric numerical analysis using the FEA software Dlubal RFEM 5, together with visual programming performed in Rhino Grasshopper. This study investigates the interaction of the shear lag effect and plane section hypothesis, which can be simplistically represented as a reduction in the impact of shear lag and the activation of a larger part of the flange of a wide-flange beam in the structural system of a continuous beam. The results suggest that for higher flange curvature and higher width to length ratio, this effect is more prominent.
Multi-Span Tension Control for Printing Systems in Gravure Printed Electronic Equipment
Authors: He Kui , Li Shifa , He Pengbo , Li Jian , Wei Xingmei
Published: September 2024

The tension system is one of the most critical systems in gravure printed electronic equipment. It possesses a complex structure that spans the entire feeding process, from unwinding through printing to rewinding. This article focuses on the research of multi-span tension control for printing systems. Firstly, the characteristics and requirements of the tension-control system in the printing section were analyzed, and a multi-span tension-control structure was devised. Then, based on the coupled mathematical model of the multi-span tension system, a static decoupling model was formulated, and a first-order active disturbance rejection control (ADRC) controller was designed utilizing active disturbance rejection control technology. Finally, to verify the control performance of the ADRC decoupling controller for the printing tension system, simulation and experimental studies were conducted using MATLAB/Simulink R2018a and a dedicated experimental platform, and the results were then compared with those obtained from a traditional PID controller. The research findings indicate that the designed multi-span tension-control system demonstrates outstanding decoupling performance and anti-interference capabilities, effectively enhancing the tension-control accuracy of gravure printed electronic equipment.
AIS Data Driven Ship Behavior Modeling in Fairways: A Random Forest Based Approach
Authors: Ma Lin , Guo Zhuang , Shi Guoyou
Published: September 2024

The continuous growth of global trade and maritime transport has significantly heightened the challenges of managing ship traffic in port waters, particularly within fairways. Effective traffic management in these channels is crucial not only for ensuring navigational safety but also for optimizing port efficiency. A deep understanding of ship behavior within fairways is essential for effective traffic management. This paper applies machine learning techniques, including Decision Tree, Random Forest, and Gradient Boosting Regression, to model and analyze the behavior of various types of ships at specific moments within fairways. The study focuses on predicting four key behavioral parameters: latitude, longitude, speed, and heading. The experimental results reveal that the Random Forest model achieves adjusted R2 scores of 0.9999 for both longitude and latitude, 0.9957 for speed, and 0.9727 for heading. All three models perform well in accurately predicting ship positions at different times, with the Random Forest model particularly excelling in speed and heading predictions. It effectively captures the behavior of ships within fairways and provides accurate predictions for different types and sizes of vessels, especially in terms of speed and heading variations as they approach or leave berths. This model offers valuable support for predicting ship behavior, enhancing ship traffic management, optimizing port scheduling, and detecting anomalies.
Enabling Pandemic-Resilient Healthcare: Edge-Computing-Assisted Real-Time Elderly Caring Monitoring System
Authors: Islam Muhammad Zubair , Sagar A. S. M. Sharifuzzaman , Kim Hyung Seok
Published: September 2024

Over the past few years, life expectancy has increased significantly. However, elderly individuals living independently often require assistance due to mobility issues, symptoms of dementia, or other health-related challenges. In these situations, high-quality elderly care systems for the aging population require innovative approaches to guarantee Quality of Service (QoS) and Quality of Experience (QoE). Traditional remote elderly care methods face several challenges, including high latency and poor service quality, which affect their transparency and stability. This paper proposes an Edge Computational Intelligence (ECI)-based haptic-driven ECI-TeleCaring system for the remote caring and monitoring of elderly people. It utilizes a Software-Defined Network (SDN) and Mobile Edge Computing (MEC) to reduce latency and enhance responsiveness. Dual Long Short-Term Memory (LSTM) models are deployed at the edge to enable real-time location-aware activity prediction to ensure QoS and QoE. The results from the simulation demonstrate that the proposed system is proficient in managing the transmission of data in real time without and with an activity recognition and location-aware model by communication latency under 2.5 ms (more than 60%) and from 11∼12 ms (60∼95%) for 10 to 1000 data packets, respectively. The results also show that the proposed system ensures a trade-off between the transparency and stability of the system from the QoS and QoE perspectives. Moreover, the proposed system serves as a testbed for implementing, investigating, and managing elder telecaring services for QoS/QoE provisioning. It facilitates real-time monitoring of the deployed technological parameters along with network delay and packet loss, and it oversees data exchange between the master domain (human operator) and slave domain (telerobot).
Effect of Tree Quantity and Distribution on the Electric Field under Transmission Lines
Authors: Wang Ziyu , Duan Nana , Chen Junyu , Zhou Xikun , Lu Mengxue , Zhao Shichen
Published: September 2024

The electric field of transmission lines has serious negative impacts on residents’ production and life with the expansion of high voltage engineering. In order to study the influence of trees on the electric field of ultra-high voltage transmission lines, this paper conducted three-dimensional simulation calculations of the power frequency electric field of transmission lines based on the tree quantity and distribution. Firstly, in order to study the pattern of electric field strength distribution in transmission lines, the electric field strengths of transmission lines of different voltage levels were compared; the maximum-power-frequency electric field intensity of ultra-high voltage transmission lines occurs below the edge conductor. Secondly, by changing the number of trees, it was concluded that the electric field strength below the edge conductor gradually decreases with the number of trees. Finally, the maximum electric field strength value at 1.5 m below the edge conductor and the width of the transmission corridor decreased by changing the layout of the trees. The results show that studying the impact of a tree’s electromagnetic parameters on the power frequency electric field strength under transmission lines can help reduce the electric field strength and decrease the width of transmission corridors, which is of great significance for line design and cost savings.
Identity Diffuser: Preserving Abnormal Region of Interests While Diffusing Identity
Authors: Shibata Hisaichi , Hanaoka Shouhei , Koshino Saori , Miki Soichiro , Sonoda Yuki , Abe Osamu
Published: September 2024

To release medical images that can be freely used in downstream processes while maintaining their utility, it is necessary to remove personal features from the images while preserving the lesion structures. Unlike previous studies that focused on removing lesion structures while preserving the individuality of medical images, this study proposes and validates a new framework that maintains the lesion structures while diffusing individual characteristics. In this framework, we apply local differential privacy techniques to provide theoretical guarantees of privacy protection. Additionally, to enhance the utility of protected medical images, we perform denoising using a diffusion model on the noise-contaminated medical images. Numerous chest X-rays generated by the proposed method were evaluated by physicians, revealing a trade-off between the level of privacy protection and utility. In other words, it was confirmed that increasing the level of personal information protection tends to result in relatively lower utility. This study potentially enables the release of certain types of medical images that were previously difficult to share.
Federated Learning in Dynamic and Heterogeneous Environments: Advantages, Performances, and Privacy Problems
Authors: Liberti Fabio , Berardi Davide , Martini Barbara
Published: September 2024

Federated Learning (FL) represents a promising distributed learning methodology particularly suitable for dynamic and heterogeneous environments characterized by the presence of Internet of Things (IoT) devices and Edge Computing infrastructures. In this context, FL allows you to train machine learning models directly on edge devices, mitigating data privacy concerns and reducing latency due to transmitting data to central servers. However, the heterogeneity of computational resources, the variability of network connections, and the mobility of IoT devices pose significant challenges to the efficient implementation of FL. This work explores advanced techniques for dynamic model adaptation and heterogeneous data management in edge computing scenarios, proposing innovative solutions to improve the robustness and efficiency of federated learning. We present an innovative solution based on Kubernetes which enables the fast application of FL models to Heterogeneous Architectures. Experimental results demonstrate that our proposals can improve the performance of FL in IoT and edge environments, offering new perspectives for the practical implementation of decentralized intelligent systems.
Validation of AISI Design of Cold-Formed Steel Beams Using Non-Linear Finite Element Analysis
Authors: Khan Muhammad Ali , Mustafa Rehan Farid , Siddiqi Zahid Ahmad , Masood Rehan
Published: September 2024

In the local building industry of Pakistan, pre-engineered steel building manufacturers mainly employ their own self-developed software and Excel sheets. These systems are based on empirical formulas mentioned in the AISI manual. Under this scenario, a need was found to validate AISI flow charts using commercial software like CUFSM 5.04 and ABAQUS R2019x. This study presents a validation of the CUFSM software and the American Iron and Steel Institute (AISI) Direct Strength Method (DSM) results of channel section flexural members using the non-linear finite element method employing ABAQUS. In this study, eight standard cold-formed channel-section (C-section) steel members were modeled and analyzed using ABAQUS to simulate realistic behavior under four-point loading conditions. The non-linear finite element models incorporated material and geometric non-linearities to capture the actual response of the steel elements. The results obtained from ABAQUS were compared with those predicted by the CUFSM and DSM, focusing on critical parameters such as nominal strength, buckling modes, and deformation patterns. During this study, it was observed that out of the selected sections, the AISI charts predict conservative and even unsafe flexural capacities in some of the cases concerning other methods, with a maximum difference of 14.03%. The differences obtained using DSM and ABAQUS when compared with the results of the AISI charts varies on both the plus and minus sides. This study will not only affect the industry in terms of innovative designs for efficient structures but also the community in regards to low-budget construction.
A 3D Vision-Based Weld Seam Extraction Method for Arbitrarily Placed Spatial Planar Weldments
Authors: Yang Bo , Wang Zhengtuo , Xu Yuetong , Hu Songyu , Fu Jianzhong
Published: September 2024

Vision-based weld seam extraction poses a significant challenge for weldments with complex spatial structures in automated welding. Existing research primarily focuses on identifying weld seams from weldments with given positions and postures, while practical weld path planning requires multiple weld seams identified within arbitrarily placed weldments. This paper proposes a methodology that identifies weld seams from arbitrarily placed spatial planar weldments in a single run. First, by introducing a turntable calibrated with respect to a 3D camera, we perform 3D reconstruction on an arbitrarily placed spatial planar weldment. Second, an improved RANSAC algorithm based on Euclidean clustering is proposed to carry out plane segmentation, focusing on segmentation accuracy. Finally, we present a novel weld seam extraction algorithm leveraging the half-edge data structure to efficiently compute weld seams from the segmented planes. The experiments conducted in this study demonstrate that the average segmentation errors (as an indirect indicator of weld seam extraction error) are reduced by 90.3% to 99.8% over conventional segmentation methods, and the standard deviations are reduced by 64.8% to 97.0%.
Cortical Connectivity Response to Hyperventilation in Focal Epilepsy: A Stereo-EEG Study
Authors: Ferri Lorenzo , Mason Federico , Di Vito Lidia , Pasini Elena , Michelucci Roberto , Cardinale Francesco , Mai Roberto , Alvisi Lara , Zanuttini Luca , Martinoni Matteo , Bisulli Francesca
Published: September 2024

Hyperventilation (HV) is an activation technique performed during clinical practices to trigger epileptiform activities, supporting the neurophysiological evaluation of patients with epilepsy. Although the role of HV has often been questioned, especially in the case of focal epilepsy, no studies have ever assessed how cortical structures respond to such a maneuver via intracranial EEG recordings. This work aims to fill this gap by evaluating the HV effects on the Stereo-EEG (SEEG) signals from a cohort of 10 patients with drug-resistant focal epilepsy. We extracted multiple quantitative metrics from the SEEG signals and compared the results obtained during HV, awake status, non-REM sleep, and seizure onset. Our findings show that the cortical connectivity, estimated via the phase transfer entropy (PTE) algorithm, strongly increases during the HV maneuver, similar to non-REM sleep. The opposite effect is observed during seizure onset, as ictal transitions involve the desynchronization of the brain structures within the epileptogenic zone. We conclude that HV promotes a conductive environment that may facilitate the propagation of epileptiform activities but is not sufficient to trigger seizures in focal epilepsy.
M2Tames: Interaction and Semantic Context Enhanced Pedestrian Trajectory Prediction
Authors: Gao Xu , Wang Yanan , Zhao Yaqian , Li Yilong , Wu Gang
Published: September 2024

Autonomous driving pays considerable attention to pedestrian trajectory prediction as a crucial task. Constructing effective pedestrian trajectory prediction models depends heavily on utilizing the motion characteristics of pedestrians, along with their interactions among themselves and between themselves and their environment. However, traditional trajectory prediction models often fall short of capturing complex real-world scenarios. To address these challenges, this paper proposes an enhanced pedestrian trajectory prediction model, M2Tames, which incorporates comprehensive motion, interaction, and semantic context factors. M2Tames provides an interaction module (IM), which consists of an improved multi-head mask temporal attention mechanism (M2Tea) and an Interaction Inference Module (I2). M2Tea thoroughly characterizes the historical trajectories and potential interactions, while I2 determines the precise interaction types. Then, IM adaptively aggregates useful neighbor features to generate a more accurate interactive feature map and feeds it into the final layer of the U-Net encoder to fuse with the encoder’s output. Furthermore, by adopting the U-Net architecture, M2Tames can learn and interpret scene semantic information, enhancing its understanding of the spatial relationships between pedestrians and their surroundings. These innovations improve the accuracy and adaptability of the model for predicting pedestrian trajectories. Finally, M2Tames is evaluated on the ETH/UCY and SDD datasets for short- and long-term settings, respectively. The results demonstrate that M2Tames outperforms the state-of-the-art model MSRL by 2.49% (ADE) and 8.77% (FDE) in the short-term setting and surpasses the optimum Y-Net by 6.89% (ADE) and 1.12% (FDE) in the long-term prediction. Excellent performance is also shown on the ETH/UCY datasets.
Comparisons of Learning Effectiveness of Therapeutic Motion Techniques: Practicing with an Educational Hemiplegic Robot Arm versus Practicing with Other Students
Authors: Koike Yuji , Okino Akihisa , Takanami Yasuhiro , Hamaguchi Toyohiro
Published: September 2024

We aimed to compare the effects of practical learning using an educational robot arm (Samothrace: SAMO) and a student simulating a patient in students’ acquisition of therapeutic motion techniques. For this study, twenty-five fourth-year students and eight therapists were included. Students were randomly assigned to the robot practice (Robo) group (n = 13) or conventional practice (Human) group (n = 12), wherein students practiced among themselves. The experimental procedure comprised a pre-practice test, practice, and post-practice test. We calculated the peak angle ratio, peak velocity, and movement time during flexion and extension using the elbow joint angle data. Machine learning was performed on students’ pre-practice and used therapists’ data to create identifiers that distinguish students and therapists to determine whether the students’ skills improved to the level of a therapist. However, regarding other kinematics data, there were no main effects or interactions between groups pre- and post-practice. Identifiers were created from machine learning of kinematics data pre-practice, and the effect was evaluated post-practice. A higher number of students in the Robo group were determined to possess skills at a therapist’s level. This study suggests the effectiveness of a simulation robot that can reproduce a patient’s pathological motions in educating students on upper limb exercise therapy.
Hands-On Fundamentals of 1D Convolutional Neural Networks—A Tutorial for Beginner Users
Authors: Cacciari Ilaria , Ranfagni Anedio
Published: September 2024

In recent years, deep learning (DL) has garnered significant attention for its successful applications across various domains in solving complex problems. This interest has spurred the development of numerous neural network architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and the more recently introduced Transformers. The choice of architecture depends on the data characteristics and the specific task at hand. In the 1D domain, one-dimensional CNNs (1D CNNs) are widely used, particularly for tasks involving the classification and recognition of 1D signals. While there are many applications of 1D CNNs in the literature, the technical details of their training are often not thoroughly explained, posing challenges for those developing new libraries in languages other than those supported by available open-source solutions. This paper offers a comprehensive, step-by-step tutorial on deriving feedforward and backpropagation equations for 1D CNNs, applicable to both regression and classification tasks. By linking neural networks with linear algebra, statistics, and optimization, this tutorial aims to clarify concepts related to 1D CNNs, making it a valuable resource for those interested in developing new libraries beyond existing ones.
Evaluation of the Training Process of Health and Safety at Work in Industry through Digitalization—Case Study: Position in Organization
Authors: Mureșan Petru-Iulian , Milosan Ioan , Pavalache-Ilie Mariela , Gabor Camelia , Oancea Gheorghe
Published: September 2024

This study analyses the opinion of 200 employees who participated in the first online training in the field of occupational health and safety systems (OSHs) from Romania, for which an online platform was used, with the records on electronic files with a qualified electronic signature. The usefulness of this online training was analyzed based on the voluntary answers of the participants to a questionnaire related to 14 questionnaire items (QIs). In order to correctly interpret the results of the applied test, a statistical processing of the answers was carried out, and the following were calculated (using SPSS 23.0 software): the factor analysis, the Kaiser–Meyer–Olkin (KMO) test, the Bartlett’s test, the extraction method, the Principal Component Analysis (PCA), the Cronbach alpha test and the Kruskal–Wallis H-test. The calculations highlighted two essential strategies: “Availability for online training” (S1) and “Challenges of online training” (S2). The conclusion of this study provides an overview of the importance of online training strategies in OSH activity and can help researchers and practitioners to improve this activity, reducing the rejection of its use among managers and authorities, thus providing a new reference for future research.
Exploring Artistic Hierarchies among Painters in Ramesside Deir el-Medina
Authors: Babcock Jennifer Miyuki
Published: September 2024

Scholarship has described Deir el-Medina as a sophisticated community composed of highly trained and educated individuals, at least compared to most ancient Egyptian villages that were primarily focused on agrarian labor. The tombs at Deir el-Medina indicate that some community members were well-off financially and may have aspired to reach elite levels in ancient Egypt’s social hierarchy. However, this understanding of Deir el-Medina’s community lacks the nuance of the hierarchical structure that defines success and status among the workers, artists, and craftspeople living in the community. This paper will investigate how one’s status within the community might dictate the allocation of artistic roles in the execution of painted royal tomb scenes. It will explore who within the community would have the privilege of depicting the primary motifs of a tomb and who would be responsible for less noticeable areas of the tomb.
The Author Takes a Bow: A Self-Portrait in Assistenza in the Temple of Hatshepsut at Deir el-Bahari
Authors: Stupko-Lubczynska Anastasiia
Published: September 2024

In art-historical terms, a self-portrait in assistenza refers to an artist having inserted their own likeness into a larger work. In Renaissance-era art, more than 90 examples have been identified, famously including Botticelli’s Adoration of the Magi (c. 1478/1483). There, Botticelli glances out from the painting, making direct eye contact with the viewer, a feature that appears in other self-portraits of the type. In ancient Egypt, it was not commonly accepted that an artist would lay claim to it, especially when the work’s scale imposed diversification of tasks to be performed or teamwork organized on a workshop basis. This article will present evidence discovered in the Chapel of Hatshepsut in her temple at Deir el-Bahari that can be interpreted as a self-portrait in assistenza and indicates that Djehuty, Overseer of the Treasury under Hatshepsut, took the lead role there. If this identification is valid, the room’s decoration gains an additional layer of meaning and may be “read” in terms of Djehuty’s message, comparable to Botticelli gazing out from his Adoration of the Magi. This ancient Egyptian case will illustrate how that artist-designer, in interweaving subtle indicators of his involvement in the work, expresses awareness both of his intellectual skills and of his pride in creation.
Analysis of the Relationship between Upper-Level Aircraft Turbulence and the East Asian Westerly Jet Stream
Authors: Li Kenan , Chen Xi , A Liman , Wu Kaijun , Liu Haiwen , Dai Fengjing , Yang Tiantian , Yu Jia , Wang Kehua
Published: September 2024

The jet stream is a primary factor contributing to turbulence, especially for upper-level aircraft. This study utilized pilot reports and ERA5 data from 2023 to investigate the relationship between upper-level turbulence and the East Asian westerly jet (EAJ). The results indicate that approximately 45.9% of upper-level aircraft turbulence occurs within the jet stream, with the lowest proportion in August and the highest in January. Additionally, the strongest vertical wind shear (VMS) is found concentrated in the lower part of the jet stream core, particularly in the South–Down part of the jet stream, where upper-level aircraft turbulence occurs most frequently (27.1%). The most turbulent area is located between 30–40° N and 110–120° E, with the main air routes experiencing turbulence being the Henan sections of G212 and B208. From a seasonal perspective, there is less frequent occurrence of upper-level aircraft turbulence in summer and autumn but more in winter and spring. The EAJ volume increases with the strengthening of the jet core wind speed, with the jet core regions being most distinct at altitudes of 200~300 hPa. Meanwhile, the jet stream intensity index peaks at 70.6 m/s in January and reaches its lowest value of 7.1 m/s in August. The jet stream axis shifts southward in winter and northward in summer, reaching the southernmost position in December at 32.2° N and the northernmost position in August at 43.5° N. Furthermore, the VMS at turbulence points within the jet stream is higher than that at the turbulence points outside the jet stream, and the Richardson number (RI) is lower. Moreover, the temporal distribution of upper-level aircraft turbulence is primarily determined by the location and intensity of the jet stream, of which the jet stream intensity index provides guidance and thus serves as a reliable indicator.
Research on Change Point Detection during Periods of Sharp Fluctuations in Stock Prices–Based on Bayes Method β-ARCH Models
Authors: Tian Fenglin , Wang Yong , Qin Qi , Tian Boping
Published: September 2024

In periods of dramatic stock price volatility, the identification of change points in stock price time series is important for analyzing the structural changes in financial market data, as well as for risk prevention and control in the financial market. As their residuals follow a generalized error distribution, the problem of estimating the change point parameters of the β-ARCH model is solved by combining the Kalman filtering method and the Bayes method innovatively, and we give a method for parameter estimation of the Bayes factors for the occurrences of change points, the expected values of the change point positions, and the variance of the change points. By detecting the change points of the price of eight stocks with a high number of limit up and limit down changes occurring in the observation period, the following conclusions are obtained: (1) Change point detection using the β-ARCH model based on the Bayes method is effective. (2) For different values of β, this research study finds that based on the classical ARCH model (i.e., β=1) of the change point parameter, the results are relatively optimal. (3) The accuracy of change point detection can be improved by correcting stock short-term effects by using the Kalman filtering method.
An Improved MOEA/D with an Auction-Based Matching Mechanism
Authors: Li Guangjian , Zheng Mingfa , He Guangjun , Mei Yu , Sun Gaoji , Zhong Haitao
Published: September 2024

Multi-objective optimization problems (MOPs) constitute a vital component in the field of mathematical optimization and operations research. The multi-objective evolutionary algorithm based on decomposition (MOEA/D) decomposes a MOP into a set of single-objective subproblems and approximates the true Pareto front (PF) by optimizing these subproblems in a collaborative manner. However, most existing MOEA/Ds maintain population diversity by limiting the replacement region or scale, which come at the cost of decreasing convergence. To better balance convergence and diversity, we introduce auction theory into algorithm design and propose an auction-based matching (ABM) mechanism to coordinate the replacement procedure in MOEA/D. In the ABM mechanism, each subproblem can be associated with its preferred individual in a competitive manner by simulating the auction process in economic activities. The integration of ABM into MOEA/D forms the proposed MOEA/D-ABM. Furthermore, to make the appropriate distribution of weight vectors, a modified adjustment strategy is utilized to adaptively adjust the weight vectors during the evolution process, where the trigger timing is determined by the convergence activity of the population. Finally, MOEA/D-ABM is compared with six state-of-the-art multi-objective evolutionary algorithms (MOEAs) on some benchmark problems with two to ten objectives. The experimental results show the competitiveness of MOEA/D-ABM in the performance of diversity and convergence. They also demonstrate that the use of the ABM mechanism can greatly improve the convergence rate of the algorithm.
Hydrolysates of Chicken Byproducts and Their Effect on the Histological and Histopathological Analysis of Liver and Kidney in a Murine Model of Induced Metabolic Syndrome
Authors: Romero-Garay Martha Guillermina , Montalvo-González Efigenia , Saucedo-Cárdenas Odila , Becerra-Verdín Eduardo Mendeleev , Soto-Domínguez Adolfo , Rodríguez-Aguayo Cristian , García-Magaña María de Lourdes
Published: September 2024

This study investigated the potential of chicken byproduct hydrolysates (CBH) characterized by a mixture of low-molecular-weight peptides (<1.35 kDa) and larger peptides (<17.5 kDa) as a treatment for metabolic syndrome (MS), from a histological and histopathological point of view. This study aimed to evaluate the effects of CBH obtained using plant proteases (BP: B. pinguin, BK: B. karatas, BRO: bromelain) on the histological and histopathological analysis of the liver and kidney in an MS-induced murine model. Methods: Thirty adult male Wistar rats were randomly assigned to six groups (n = 5): (1) standard diet (STD); (2) MS with a hypercaloric diet (MS + HC); (3) CBH-BP (200 mg/kg of body weight); (4) CBH-BK (200 mg/kg of body weight); (5) CBH-BRO (200 mg/kg of body weight); (6) carnosine (CAR) 50 mg/kg of body weight. Liver and kidney samples were processed by conventional hematoxylin and eosin (H&E) histological techniques, Masson’s trichrome stain (MTS), and the periodic acid–Schiff (PAS) histochemical method. A scoring scale was used for the histopathological evaluation with scores ranging from 0 (normal tissue) to 4 (severe damage). Results: CBHs demonstrated a significant therapeutic effect (p < 0.05) on hepatic and renal morphological alterations induced by MS. Hepatic scores for lipid inclusions, vascular congestion, and cellular alteration were all reduced to below two. Similarly, renal scores for tubular degeneration, vascular congestion, and dilation of Bowman’s space were also decreased to less than two. The therapeutic efficacy of CBHs was comparable to that of the positive control, CAR (β-alanyl-L-histidine). Conclusions: CBH-BP, CBH-BK, and CBH-BRO treatments reduced morphological alterations observed in liver and kidney tissues, which is relevant since from a histological and histopathological point of view, it allows us to understand at the cellular and tissue level the effects that these treatments can have on a living organism, indicating a potential to improve organ health in people with MS.
Phytoplasmas: Molecular Characterization and Host–Pathogen Interactions
Authors: Wei Wei , Zhao Yan , Quaglino Fabio
Published: September 2024

Phytoplasmas are small, wall-less bacteria that infect many plant species and multiply within phloem-feeding insects of the Hemiptera order [...]
The Protection and Management of Wapiti in Desert Oases: Bare Land Poses a Limitation to Wapiti Conservation
Authors: Qiao Fujie , Du Hairong , Zhang Xia , Feng Caiping , Tan Zhihua , Yu Yanqin , Liu Zhensheng
Published: September 2024

The Helan Mountains, situated in the heart of the desert, act as a dividing line between China’s arid and semi-arid zones. Often referred to as a “desert oasis”, they create an ecological island with a uniquely distinctive geographical location, making this area a focal point of contemporary research. Ungulates play a critical role in this ecosystem. The Alashan wapiti (Cervus canadensis alashanicus), an isolated population of China’s smallest wapiti (Cervus canadensis) subspecies, is found exclusively within the Helan Mountains Nature Reserve. The conservation of this isolated population is fraught with challenges, particularly during winter, the harshest season for northern ungulates. Winter habitats are crucial for ensuring population stability. Therefore, we used certain methods, such as factor screening and model parameter optimization to assess habitat suitability using multi-scale species distribution models. The optimized results show that suitable habitats overlap with areas of high vegetation coverage in the Helan Mountains, covering just 588.32 km2, which is less than a quarter of the reserve’s total area. The bare land area and winter NDVI are the two primary factors influencing habitat suitability, with other factors having minimal impact, underscoring the critical importance of food resources for the Alashan wapiti. The limited availability of these resources poses significant conservation challenges. Our findings provide a more precise foundation for targeted habitat protection and restoration efforts. We recommend enhancing the protection and restoration of food resources, effectively conserving vegetated areas, and preventing desertification.
Targeting Polyprotein to Design Potential Multiepitope Vaccine against Omsk Hemorrhagic Fever Virus (OHFV) by Evaluating Allergenicity, Antigenicity, and Toxicity Using Immunoinformatic Approaches
Authors: Alnuqaydan Abdullah M. , Eisa Alaa Abdulaziz
Published: September 2024

Omsk Hemorrhagic Fever Virus (OHFV) is an RNA virus with a single-stranded, positive-sense genome. It is classified under the Flaviviridae family. The genome of this virus is 98% similar to the Alkhurma hemorrhagic fever virus (AHFV), which belongs to the same family. Cases of the virus have been reported in various regions of Saudi Arabia. Both OHFV and AHFV have similarities in pathogenic polyprotein targets. No effective and licensed vaccines are available to manage OHFV infections. Therefore, an effective and safe vaccine is required that can activate protective immunity against OHFV. The current study aimed to design a multiepitope subunit vaccine against the OHFV utilizing several immunoinformatic tools. The polyprotein of OHFV was selected and potent antigenic, non-allergenic, and nontoxic cytotoxic T-lymphocyte (CTL), helper T-lymphocyte (HTL), and linear B-lymphocyte (LBL) epitopes were chosen. After screening, eight (8) CTL, five (5) HTL, and six (6) B cell epitopes were joined with each other using different linkers. Adjuvant human beta defensin-2 was also linked to the epitopes to increase vaccine antigenic and immunogenic efficiency. The designed vaccine was docked with Toll-like receptor 4 (TLR4) as it activates and induces primary and secondary immune responses against OHFV. Codon optimization was carried out, which resulted in a CAI value of 0.99 and 53.4% GC contents. In addition, the construct was blindly docked to the TLR4 immune receptor and subjected to conformational dynamics simulation analysis to interpret the intricate affinity and comprehend the time-dependent behavior. Moreover, it was predicted that immune responses to the developed vaccine construct reported formation of strong humoral and cellular immune cells. Therefore, the proposed vaccine may be considered in experimental assays to combat OHFV infections. Laboratory experiments for the above predictions are essential in order to evaluate the effectiveness, safety, and protective properties of the subject in question.
Collagen I Increases Palmitate-Induced Lipotoxicity in HepG2 Cells via Integrin-Mediated Death
Authors: Maseko Tumisang Edward , Peterová Eva , Elkalaf Moustafa , Koutová Darja , Melek Jan , Staňková Pavla , Špalková Veronika , Matar Reem , Lotková Halka , Červinková Zuzana , Kučera Otto
Published: September 2024

Various strategies have been employed to improve the reliability of 2D, 3D, and co-culture in vitro models of nonalcoholic fatty liver disease, including using extracellular matrix proteins such as collagen I to promote cell adhesion. While studies have demonstrated the significant benefits of culturing cells on collagen I, its effects on the HepG2 cell line after exposure to palmitate (PA) have not been investigated. Therefore, this study aimed to assess the effects of PA-induced lipotoxicity in HepG2 cultured in the absence or presence of collagen I. HepG2 cultured in the absence or presence of collagen I was exposed to PA, followed by analyses that assessed cell proliferation, viability, adhesion, cell death, mitochondrial respiration, reactive oxygen species production, gene and protein expression, and triacylglycerol accumulation. Culturing HepG2 on collagen I was associated with increased cell proliferation, adhesion, and expression of integrin receptors, and improved cellular spreading compared to culturing them in the absence of collagen I. However, PA-induced lipotoxicity was greater in collagen I-cultured HepG2 than in those cultured in the absence of collagen I and was associated with increased α2β1 receptors. In summary, the present study demonstrated for the first time that collagen I-cultured HepG2 exhibited exacerbated cell death following exposure to PA through integrin-mediated death. The findings from this study may serve as a caution to those using 2D models or 3D scaffold-based models of HepG2 in the presence of collagen I.
Phospholipase Cδ-4 (PLCδ4) Acts as a Nuclear Player to Influence Cyclin B Expression in the Embryonal Rhabdomyosarcoma Cell Lines RD and A204
Authors: Salucci Sara , Bavelloni Alberto , Versari Ilaria , Burattini Sabrina , Bavelloni Francesco , Gobbi Pietro , Fanzani Alessandro , Codenotti Silvia , Blalock William , Scotlandi Katia , Faenza Irene
Published: September 2024

Rhabdomyosarcoma (RMS), the most common form of sarcoma typical of pediatric age, arises from the malignant transformation of the mesenchymal precursors that fail to differentiate into skeletal muscle cells. Here, we investigated whether the protein phospholipase C δ4 (PLCδ4), a member of the PLC family involved in proliferation and senescence mechanisms of mesenchymal stromal stem cells, may play a role in RMS. Our molecular and morpho-functional data reveal that PLCδ4 is highly expressed in the fusion-negative, p53-positive, SMARCB1 heterozygous mutated embryonal RMS (ERMS) cell line A204, while it is poorly expressed in the ERMS cell lines RD (fusion-negative, MYC amplification, N-RAS (Q61H), homozygous mutated p53) and Hs729 (homozygous mutated p53) and the alveolar rhabdosarcoma (ARMS) cell line SJCRH30 (RH30; fusion positive, heterozygous mutated RARA, polyheterozygous mutated p53). To characterize the role of PLCδ4, the RD cell line was stably transfected with wild-type PLCδ4 (RD/PLCδ4). Overexpressed PLCδ4 mainly localized to the nucleus in RD cells and contributed to the phosphorylation of PRAS40 (T246), Chk2(T68), WNK1(T60), and Akt 1/273 (S473), as revealed by proteome profiler array analysis. Overexpression of PLCδ4 in RD cells enhanced cyclin B1 expression and resulted in G2/M-phase cell cycle arrest. In contrast, siRNA-mediated knockdown of PLCδ4 in A204 cells resulted in reduced cyclin B1 expression. Our study identifies a novel role for nuclear PLCδ4 as a regulator of cyclin B1 via Akt-dependent phosphorylation. The modulation of PLCδ4 expression and its downstream targets could represent a crucial signaling pathway to block embryonal RMS cell proliferation.
Multi-Target and Multi-Phase Adjunctive Cerebral Protection for Acute Ischemic Stroke in the Reperfusion Era
Authors: Zhao Min , Wang Jing , Liu Guiyou , Li Sijie , Ding Yuchuan , Ji Xunming , Zhao Wenbo
Published: September 2024

Stroke remains the leading cause of death and disability in some countries, predominantly attributed to acute ischemic stroke (AIS). While intravenous thrombolysis and endovascular thrombectomy are widely acknowledged as effective treatments for AIS, boasting a high recanalization rate, there is a significant discrepancy between the success of revascularization and the mediocre clinical outcomes observed among patients with AIS. It is now increasingly understood that the implementation of effective cerebral protection strategies, serving as adjunctive treatments to reperfusion, can potentially improve the outcomes of AIS patients following recanalization therapy. Herein, we reviewed several promising cerebral protective methods that have the potential to slow down infarct growth and protect ischemic penumbra. We dissect the underlying reasons for the mismatch between high recanalization rates and moderate prognosis and introduce a novel concept of “multi-target and multi-phase adjunctive cerebral protection” to guide our search for neuroprotective agents that can be administered alongside recanalization therapy.
Predicting Regression of Barrett’s Esophagus—Can All the King’s Men Put It Together Again?
Authors: Tobi Martin , Khoury Nabiha , Al-Subee Omar , Sethi Seema , Talwar Harvinder , Kam Michael , Hatfield James , Levi Edi , Hallman Jason , Moyer Mary Pat , Kresty Laura , Lawson Michael J. , McVicker Benita
Published: September 2024

The primary pre-neoplastic lesion of the lower esophagus in the vicinity of the gastroesophageal junction (GEJ) is any Barrett’s esophageal lesions (BE), and esophageal neoplasia has increased in the US population with predispositions (Caucasian males, truncal obesity, age, and GERD). The responses to BE are endoscopic and screening cytologic programs with endoscopic ablation of various forms. The former have not been proven to be cost-effective and there are mixed results for eradication. A fresh approach is sorely needed. We prospectively followed 2229 mostly male veterans at high risk for colorectal cancer in a 27-year longitudinal long-term study, collecting data on colorectal neoplasia development and other preneoplastic lesions, including BE and spontaneous regression (SR). Another cross-sectional BE study at a similar time period investigated antigenic changes at the GEJ in both BE glandular and squamous mucosa immunohistochemistry and the role of inflammation. Ten of the prospective cohort (21.7%) experienced SR out of a total of forty-six BE patients. Significant differences between SR and stable BE were younger age (p < 0.007); lower platelet levels (p < 0.02); rectal p87 elevation in SR (p < 0.049); a reduced innate immune system (InImS) FEREFF ratio (ferritin: p87 colonic washings) (p < 0.04). Ancillary testing showed a broad range of neoplasia biomarkers. InImS markers may be susceptible to intervention using commonplace and safe medical interventions and encourage SR.
Autism-Related Cc2d1a Heterozygous Mice: Increased Levels of miRNAs Retained in DNA/RNA Hybrid Profiles (R-Loop)
Authors: Sener Elif Funda , Dana Halime , Tahtasakal Reyhan , Taheri Serpil , Rassoulzadegan Minoo
Published: September 2024

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with a highly variable expression of phenotypes (restricted interest or activity and repetitive behavior in communication and social interactions), genes (mutation), markers (alteration of transcription) and pathways. Loss of function of the CC2D1A gene appears to primarily affect the brain, leading to a range of behavioral problems in humans. In our study published in 2020, we found that the expressions of miR-19a-3p, miR-361-5p, miR-150-5p, miR-3613-3p, miR-126-3p and miR-499a-5p were downregulated in the serum samples of autistic patients, their families and mouse models (Cc2d1a +/− and valproic acid treated males). Here, acquired non-Mendelian hereditary character in a genetically defined mouse model of autism (Cc2d1a +/−) correlates with the transcriptional alteration of five miRNAs. We seek to test the hypothesis that miRNA levels vary by changes in RNA/DNA structure during development, thereby creating transcription alteration and cell memory. Behavioral tests were conducted on the offspring of Cc2d1a (+/−) mutant and control mice, such as novel object, social interaction, marble burying and tail suspension behavior. Two RNA fractions were isolated from mouse hippocampal tissues and sperm cells via standard TRIzol extraction: free RNA and the fraction of RNA bound to DNA in the form of a DNA/RNA hybrid (R-loop). The expression levels of miR-19a-3p, miR-361-5p, miR-150-5p, miR-126-3p and miR-499a-5p were investigated by quantitative real-time RT-PCR. We report differences in the distribution of five miRNAs in the hippocampus between male and female mice, particularly in colonies of Cc2d1a (+/−) mice. Furthermore, the number of miRNAs engaged in the DNA/RNA hybrid fraction is generally higher in the mutant pedigree than in the control group. On the other hand, in sperm, both fractions are at lower levels than in controls. R-loops contribute to the physiology and pathology of organisms including human disease. Here, we report a variation in five miRNA levels between gender and tissue. Our results suggest that the transcription levels of these five miRNAs are directly regulated by their RNA.
‘Whole-Body’ Perspectives of Schizophrenia and Related Psychotic Illness: miRNA-143 as an Exemplary Molecule Implicated across Multi-System Dysfunctions
Authors: Waddington John L. , Wang Xiaoyu , Zhen Xuechu
Published: September 2024

A wide array of biological abnormalities in psychotic illness appear to reflect non-cerebral involvement. This review first outlines the evidence for such a whole-body concept of schizophrenia pathobiology, focusing particularly on cardiovascular disease, metabolic syndrome and diabetes, immunity and inflammation, cancer, and the gut–brain axis. It then considers the roles of miRNAs in general and of miRNA-143 in particular as they relate to the epidemiology, pathobiology, and treatment of schizophrenia. This is followed by notable evidence that miRNA-143 is also implicated in each of these domains of cardiovascular disease, metabolic syndrome and diabetes, immunity and inflammation, cancer, and the gut–brain axis. Thus, miRNA-143 is an exemplar of what may be a class of molecules that play a role across the multiple domains of bodily dysfunction that appear to characterize a whole-body perspective of illness in schizophrenia. Importantly, the existence of such an exemplary molecule across these multiple domains implies a coordinated rather than stochastic basis. One candidate process would be a pleiotropic effect of genetic risk for schizophrenia across the whole body.