bluuebunny/crossref_metadata_2025 huggingface dataset:
Lysophospholipid Supplementation in Broiler Breeders’ Diet Benefits Offspring’s Productive Performance, Blood Parameters, and Hepatic β-Oxidation Genes
Authors: Sedghi Mohammad , Javanmard Fatemeh , Amoozmehr Anvar , Zamany Saeid , Mohammadi Ishmael , Kim Woo , Choppa Venkata Sesha Reddy
Published: October 2024

The present study aimed to investigate whether supplementation of modified lysophospholipids (LPLs) in the diet of broiler breeders can benefit their offspring. A total of 264 49-week-old breeders (Ross 308) were allocated and fed based on a 2 × 2 factorial arrangement with two levels of dietary energy (normal energy = 2800 kcal/kg and low energy = 2760 kcal/kg) and two LPL levels (0 and 0.5 g/kg) for periods of 8 and 12 weeks. The offspring were assessed for growth performance, serum parameters, hepatic antioxidative capability, and expression of genes involved in liver β-oxidation at 7 days old. The LPL inclusion improved (p < 0.01) average body weight (ABW), average daily gain (ADG), and feed conversion ratio (FCR). The offspring of 61-week-old breeders fed with LPL exhibited reduced serum triglyceride levels (p < 0.01) but an increase in hepatic glutathione peroxidase (p < 0.05). The LPL increased (p < 0.001) the mRNA expression of the PGC-1α gene in the liver. Supplementing LPL in low-energy diets resulted in higher FABP1 gene expression (p < 0.05) in the intestine. In conclusion, LPL supplementation in the breeders’ diet improved offspring performance by enhancing fatty acid absorption, hepatic indices, and the expression of genes involved in liver β-oxidation.
The Effects of Electrolytic Technology Toothbrush Application on the Clinical Parameters and Bacteria Associated with Periodontal Disease in Dogs
Authors: Zdravković Nemanja , Stanisavljević Nemanja , Malešević Milka , Vukotić Goran , Stevanović Tatjana , Bošnjak Ivan , Ninković Milan
Published: October 2024

The aim of this study was to compare the effects of electrolytic and nonelectrolytic toothbrushing on dogs’ oral health and the presence of common bacteria associated with periodontal disease. Periodontal disease in dogs is a common problem worldwide. A toothbrushing procedure is recommended to prevent periodontal disease, with additional benefits if electrolytic toothbrushes are used in dog oral hygiene practices. A total of 26 dogs were enrolled in this eight-week study and were divided into two groups—treatment and control. Daily toothbrushing was performed on all dogs using the same dog toothbrush, with the power source disengaged in the control group. Oral examination was conducted on anesthetized dogs before and at 4 and 8 weeks after commencing the study, with sampling for bacterial analysis. This study was designed to be blind for owners, veterinarians, and laboratory staff. Improvements in the average gingival index (from 0.55 to 0.31) and calculus index (from 0.55 to 0.38) in the treatment group were recorded. In the control group, after an initial improvement in the plaque index (from 0.97 to 0.53), at week 8, it significantly rose to 1.21 (p < 0.05). Relative bacterial abundance revealed a reduction in all four tested bacteria in the treatment group, while in the control group, Campylobacter rectus levels rose by 3.67 log2 compared to before the study and at week 8. No adverse effects were recorded in either group.
Exploratory Role of Flavonoids on Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) in a South Italian Cohort
Authors: Bonfiglio Caterina , Tatoli Rossella , Donghia Rossella , Guido Davide , Giannelli Gianluigi
Published: October 2024

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most recent definition for steatotic liver disease associated with metabolic syndrome. The results of recent metabolic and observational studies suggest a potential beneficial effect of food-derived flavonoids in some chronic diseases, including MASLD. The study aims to evaluate the protective role of diet flavonoids in subjects with and without MASLD belonging to a cohort living in the South of Italy. Methods: The study cohort comprised 1297 participants assessed in the NUTRIHEP cohort (2015–2018), divided into two groups, based on presence or absence of MASLD. Results: The results indicated statistically significant flavonoid consumption, showing a protective role against MASLD, at an optimal concentration of 165 mg/day, with an OR value of 0.63, (p = 0.001, 95% C.I.: 0.47; 0.83 t). The OR remained almost unchanged when the intake increased from 165 mg per day to 185 mg per day. Conclusions: In conclusion, our study results show a protective role of flavonoids against MASLD. Consuming only 165 mg of flavonoids daily can activate this protective function, reducing the risk of MASLD.
Impact of High-Intensity Interval Training on Different Slopes on Aerobic Performance: A Randomized Controlled Trial
Authors: Sá Filho Alberto Souza , Bittar Roberto Dib , Inacio Pedro Augusto , Mello Júlio Brugnara , Oliveira-Silva Iransé , Leonardo Patricia Sardinha , Chiappa Gaspar Rogério , Lopes-Martins Rodrigo Alvaro Brandão , Santos Tony Meireles , Sales Marcelo Magalhães
Published: October 2024

This study investigated the impact of six high-intensity interval training (HIIT) running sessions on 1% or 10% slopes on various physiological and performance parameters in 25 men. The participants underwent assessments of VO2max, time to exhaustion on 1% slope (TLim1%), and time to exhaustion on 10% slope (TLim10%) in the initial three visits. They were then randomly assigned to control (CON), HIIT on 1% slope (GT1%), or HIIT on 10% slope (GT10%) groups. Over three weeks, participants performed six HIIT sessions with equalized workload based on their individual maximal oxygen uptake (vVO2max). The sessions comprised 50% of TLim, with a 1:1 ratio of exercise to recovery at 50% vVO2max. The results indicated significant improvements in VO2max and peak velocity (VPeak) after HIIT on both slopes. Heart rate (HR) differed between sessions for GT1%, while no significant differences were observed for GT10%. Ratings of perceived exertion (RPE) were significantly reduced for GT1% after the third session, with a similar trend for GT10%. In summary, six HIIT sessions on a 1% or 10% slope effectively enhanced VO2max and VPeak, but there was no improvement in TLim performance, suggesting no adaptive transfer between training groups.
Acute and Chronic Effects of Muscle Strength Training on Physical Fitness in Boxers: A Scoping Review
Authors: Hernandez-Martinez Jordan , Cid-Calfucura Izham , Valdés-Badilla Pablo , Franchini Emerson , García-García José Manuel , Herrera-Valenzuela Tomás
Published: October 2024

The aim of this scoping review was to compile the current evidence and provide a summary of the acute and chronic effects of muscle strength training on the physical fitness of amateur boxers and provide recommendations to optimize their physical performance. This scoping review was developed using guidance from the Joanna Briggs Institute and PRISMA-ScR. The search was conducted in the Scopus, PubMed and Web of Science databases between December 2023 and June 2024. In total, 50 full-text articles were assessed to determine eligibility, while 15 studies met the inclusion criteria and were subjected to detailed analysis and assessment of their methodological quality. Our findings indicate that muscular strength training interventions can improve punching performance in amateur boxers acutely and chronically, in addition to improving their physical fitness and generating increases in the capacity to generate maximum force and improvements in RFD and the power production of the upper and lower limbs of boxers. However, this scoping review only included one study in female boxers, so we recommend that future studies contain muscular strength training interventions in females to analyze their adaptations in punching force and physical fitness.
Steel Surface Defect Detection Based on YOLOv8-TLC
Authors: Liu Chunling , Cheng Hui
Published: October 2024

To address the issues of low accuracy and efficiency in traditional image processing algorithms for steel surface defect detection, a novel steel surface defect detection algorithm based on YOLOv8-TLC is proposed. To more accurately detect defect targets in images that are missed due to their large size, an additional scale detection layer is introduced. Meanwhile, the Large Selective Kernel (LSK) attention mechanism is incorporated to deeply explore spatial structural information that is highly relevant to the steel surface defect targets, further enhancing the model’s spatial feature extraction capabilities. A triple spatial pyramid module is also constructed to address the problem of redundant feature extraction. Additionally, the C2f-DS module is designed to ensure the acquisition of richer gradient flow information without increasing the number of parameters. Experimental results on the NEU-DET dataset show that the YOLOv8-TLC algorithm achieves a mean average precision (mAP) of 79.8%, improving the mAP by 3.2% while enhancing detection speed.
Improved Patch-Mix Transformer and Contrastive Learning Method for Sound Classification in Noisy Environments
Authors: Chen Xu , Wang Mei , Kan Ruixiang , Qiu Hongbing
Published: October 2024

In urban environments, noise significantly impacts daily life and presents challenges for Environmental Sound Classification (ESC). The structural influence of urban noise on audio signals complicates feature extraction and audio classification for environmental sound classification methods. To address these challenges, this paper proposes a Contrastive Learning-based Audio Spectrogram Transformer (CL-Transformer) that incorporates a Patch-Mix mechanism and adaptive contrastive learning strategies while simultaneously improving and utilizing adaptive data augmentation techniques for model training. Firstly, a combination of data augmentation techniques is introduced to enrich environmental sounds. Then, the Patch-Mix feature fusion scheme randomly mixes patches of the enhanced and noisy spectrograms during the Transformer’s patch embedding. Furthermore, a novel contrastive learning scheme is introduced to quantify loss and improve model performance, synergizing well with the Transformer model. Finally, experiments on the ESC-50 and UrbanSound8K public datasets achieved accuracies of 97.75% and 92.95%, respectively. To simulate the impact of noise in real urban environments, the model is evaluated using the UrbanSound8K dataset with added background noise at different signal-to-noise ratios (SNR). Experimental results demonstrate that the proposed framework performs well in noisy environments.
Epileptic Seizure Detection in Neonatal EEG Using a Multi-Band Graph Neural Network Model
Authors: Tang Lihan , Zhao Menglian
Published: October 2024

Neonatal seizures are the most common clinical presentation of neurological dysfunction, requiring immediate attention and treatment. Manual detection of seizure events from continuous electroencephalogram (EEG) recordings is laborious and time-consuming. In this study, a novel graph-based method for automated neonatal seizure detection is proposed. The proposed method aims to improve the detection performance by the thorough representation of multi-channel EEG signals and the adaptive classification of multi-band graph representations. To achieve this, a band-wise feature extraction method is performed on the raw EEG to provide more detailed information for classification. In addition, a novel classification model, namely the multi-band graph neural network (MBGNN), is proposed, which utilizes the attention mechanism and can take full advantage of the multi-band graph representations to improve the classification performance. The proposed method is evaluated using the EEG recordings of 39 neonates from the Helsinki database. The MBGNN model gives an average area under the receiver operating characteristic curve (AUC) of 99.11%, an average positive predictive value (PPV) of 95.34%, and an average negative predictive value (NPV) of 96.66%. The experimental results show that the proposed method could fully exploit the multi-band EEG information and facilitate the classification of seizure/non-seizure EEG epochs, making it more appealing for patient-specific clinical applications.
A Novel Hybrid Elementary Cellular Automata and Its Application in a Stream Cipher
Authors: Du Peng , Dong Youheng , Cui Qi , Li Hui
Published: October 2024

The elementary cellular automata (ECAs) under the chaotic rule possess long periodicity and are widely used in pseudo-random number generators. However, their period is limited, related to the rule and the number of cells. Meanwhile, the Boolean functions of some ECAs are linear and vulnerable to linear analysis. Thus, the ECA cannot be directly implemented in the stream cipher. In this paper, a hybrid ECA (HECA) with dynamic mask (HECA-M) is designed. The HECA-M consists of two parts: the driving and mask parts. The driving part based on a HECA is used in generating the keystream, and the mask part based on a chaotic ECA is utilized to determine the iterative rule of the driving part. Subsequently, a stream cipher based on the HECA-M and SHA-512 is proposed. The statistic and secure analyses indicate that the proposed stream cipher possesses good randomness and can resist stream cipher analyses, such as exhaustive search, Berlekamp–Massey synthesis, guess and determine attack, time–memory–data tradeoff attack, etc. Hence, the proposed scheme can meet security requirements. Moreover, the time and space consumption of the proposed stream cipher is qualified.
Computer Vision as a Tool to Support Quality Control and Robotic Handling of Fruit: A Case Study
Authors: Filho Estêvão Vale , Lang Luan , Aguiar Martim L. , Antunes Rodrigo , Pereira Nuno , Gaspar Pedro Dinis
Published: October 2024

The food industry increasingly depends on technological assets to improve the efficiency and accuracy of fruit processing and quality control. This article enhances the application of computer vision with collaborative robotics to create a non-destructive system. The system can automate the detection and handling of fruits, particularly tomatoes, reducing the reliance on manual labor and minimizing damage during processing. This system was developed with a Raspberry Pi 5 to capture images of the fruit using a PiCamera module 3. After detecting the object, a command is sent to a Universal Robotics UR3e robotic arm via Ethernet cable, using Python code that integrates company functions and functions developed specifically for this application. Four object detection models were developed using the TensorFlow Object Detection API, converted to TensorFlow Lite, to detect two types of fruit (tomatoes) using deep learning techniques. Each fruit had two versions of the models. The models obtained 67.54% mAP for four classes and 64.66% mAP for two classes, A rectangular work area was created for the robotic arm and computer vision to work together. After 640 manipulation tests, a reliable area of 262 × 250 mm was determined for operating the system. In fruit sorting facilities, this system can be employed to automatically classify fruits based on size, ripeness, and quality. This ensures consistent product standards and reduces waste by sorting fruits according to pre-defined criteria. The system’s ability to detect multiple fruit types with high accuracy enables it to integrate into existing workflows, thereby increasing productivity and profitability for food processing companies. Additionally, the non-destructive nature of this technology allows for the inspection of fruits without causing any damage, ensuring that only the highest-quality produce is selected for further processing. This application can enhance the speed and precision of quality control processes, leading to improved product quality and customer satisfaction.
Enhancing Misinformation Detection in Spanish Language with Deep Learning: BERT and RoBERTa Transformer Models
Authors: Blanco-Fernández Yolanda , Otero-Vizoso Javier , Gil-Solla Alberto , García-Duque Jorge
Published: October 2024

This paper presents an approach to identifying political fake news in Spanish using Transformer architectures. Current methodologies often overlook political news due to the lack of quality datasets, especially in Spanish. To address this, we created a synthetic dataset of 57,231 Spanish political news articles, gathered via automated web scraping and enhanced with generative large language models. This dataset is used for fine-tuning and benchmarking Transformer models like BERT and RoBERTa for fake news detection. Our fine-tuned models showed outstanding performance on this dataset, with accuracy ranging from 97.4% to 98.6%. However, testing with a smaller, independent hand-curated dataset, including statements from political leaders during Spain’s July 2023 electoral debates, revealed a performance drop to 71%. Although this suggests that the model needs additional refinements to handle the complexity and variability of real-world political discourse, achieving over 70% accuracy seems a promising result in the under-explored domain of Spanish political fake news detection.
Research on Region Noise Reduction and Feature Analysis of Total Focus Method Ultrasound Image Based on Branch Pipe Fillet Weld
Authors: Wang Yuqin , Li Yong , Bu Yangguang , Dong Shaohua , Wei Haotian , Cheng Jingwei
Published: October 2024

As a technological advantage of ultrasonic non-destructive testing, fully focused imaging can accurately feedback the defective characteristics of the inspected object, greatly improving the detection efficiency. This article aims to address the challenges of outdated and low detection rates in the detection technology of branch pipe fillet welds. The full matrix acquisition (FMC) and total focus method (TFM) ultrasonic detection technology are used for detection and defect image feature analysis. Firstly, a multi-mode, fully focused real-time imaging software system was developed to address the specificity of the detection object; secondly, a phased array detection system based on 64 elements was constructed; finally, a region wavelet denoising method based on TFM images was proposed to solve the problem of artifacts caused by poor coupling; and based on the feature extraction method for a minimum rectangle, we analyzed the size, position, angle, and other information regarding defects. Through experiments, it has been found that this technology can effectively improve the detection efficiency of branch pipe weld defects, with a detection rate of 100%. Based on the partition fusion denoising method, the defect imaging quality can be further improved; at the same time, based on the feature extraction method, the error is 0.1 mm, the length range of various defects is 2.3 mm–6.3 mm, the width range is 0.6 mm–0.8 mm, and the angle range is 52°–75°, which can provide an application basis for the localization, classification, and risk assessment of corner weld defects in branch pipes.
Interdecadal Variations in the Seasonal Cycle of Explosive Growth of Southern Hemisphere Storms with Impacts on Southern Australian Rainfall
Authors: Osbrough Stacey L. , Frederiksen Jorgen S.
Published: October 2024

Interdecadal variations, since the middle of the 20th century, in the seasonal cycle of Southern Hemisphere extratropical synoptic scale weather systems, are studied and related to associated anomalies in Southern Australian rainfall over south-west Western Australia (SWWA) and southeast Australia (SEA). A data-driven method is employed in which atmospheric fluctuations, specified from 6-hourly lower-tropospheric reanalysis data, are spectrally analysed in space and time to determine the statistics of the intensity and growth rates of growing and decaying eddies. Extratropical storms, blocking and north-west cloud band weather types are investigated in two frequency bands, with periods less than 4 days and between 4 and 8 days, and in three growth rate and three decay rate bins. Southern Australian rainfall variability is found to be most related to changes in explosive storms particularly in autumn and winter. During the first 10 years of the Australian Millennium Drought (AMD), from 1997 to 2006, dramatic changes in rainfall and storminess occurred. Rainfall declines ensued over SEA in all seasons, associated with corresponding reductions in the intensity of fast-growing storms with periods less than 4 days. These changes, compared with the 20-year timespans of 1949 to 1968 and 1975 to 1994, also took place for the longer duration of 1997 to 2016, apart from summer. Over SWWA, autumn and winter rainfall totals have decreased systematically with time for each of the 10-year and 20-year timespans analysed. Southern Australian rainfall variability is also found to be closely related to the local, hemispheric or global features of the circulation of the atmosphere and oceans that we characterise by indices. Local circulation indices of sea level pressure and 700 hPa zonal winds are good predictors of SWWA and SEA annual rainfall variability particularly in autumn and winter with vertical velocity generally less so. The new Subtropical Atmospheric Jet (SAJ) and the Southern Ocean Regional Dipole (SORD) indices are found to be the most skilful non-local predictors of cool season SWWA rainfall variability on annual and decadal timescales. The Indian Ocean Dipole (IOD) and Southern Oscillation Index (SOI) are the strongest non-local predictors of SEA annual rainfall variability from autumn through to late spring, while on the decadal timescale, different indices dominate for different 3-month periods.
Defending Against AI Threats with a User-Centric Trustworthiness Assessment Framework
Authors: Kafali Efi , Preuveneers Davy , Semertzidis Theodoros , Daras Petros
Published: October 2024

This study critically examines the trustworthiness of widely used AI applications, focusing on their integration into daily life, often without users fully understanding the risks or how these threats might affect them. As AI apps become more accessible, users tend to trust them due to their convenience and usability, frequently overlooking critical issues such as security, privacy, and ethics. To address this gap, we introduce a user-centric framework that enables individuals to assess the trustworthiness of AI applications based on their own experiences and perceptions. The framework evaluates several dimensions—transparency, security, privacy, ethics, and compliance—while also aiming to raise awareness and bring the topic of AI trustworthiness into public dialogue. By analyzing AI threats, real-world incidents, and strategies for mitigating the risks posed by AI apps, this study contributes to the ongoing discussions on AI safety and trust.
Assessment of Physicochemical and Sensory Characteristics of Commercial Sparkling Wines Obtained Through Ancestral and Traditional Methods
Authors: Just-Borràs Arnau , Alday-Hernández Monserrat , García-Roldán Aitor , Bustamante Marco , Gombau Jordi , Cabanillas Pedro , Rozès Nicolas , Canals Joan Miquel , Zamora Fernando
Published: October 2024

Sparkling wines produced using the ancestral method, also known as Pét-Nats, are gaining more and more market share these days. However, scientific information on these wines is very scarce. The aim of this study was therefore to compare the physicochemical composition and sensory characteristics of a representative selection of commercial sparkling wines produced using the ancestral and traditional methods. Ancestral sparkling wines were more heterogeneous than traditional sparkling wines, as some of them showed lower internal pressure, higher turbidity, higher color intensity and lower effervescence. These differences are probably due to the fact that the protocol for making sparkling wines using the ancestral method is not as well defined as that for traditional sparkling wines. However, the ancestral method has the advantage of being able to work with riper grapes and a lower sulfur dioxide dosage.
Composites of Polylactic Acid with Diatomaceous Earth for 3D-Printing Biocompatible Scaffolds: A Systematic Study of Their Mechanical, Thermal, and Biocompatibility Properties
Authors: Trejos-Soto Lilliam , Rivas-Hernández Gabriel O. , Mora-Bolaños Rodrigo , Vargas-Valverde Nathalia , Valerio Abraham , Ulloa-Fernández Andrea , Oviedo-Quirós Jorge , García-Piñeres Alfonso , Paniagua Sergio A. , Centeno-Cerdas Carolina , Lesser-Rojas Leonardo
Published: October 2024

This study explores the development of biocompatible scaffolds for bone regeneration, utilizing polylactic acid (PLA) combined with calcium phosphate as a pH buffer and diatomaceous earth as a biocompatibilizer. These materials were extruded and 3D-printed to enhance cell adhesion and biodegradability after enough cell growth. The biocompatibility of the resulting composites, with different proportions of the components and sterilization methods, was tested according to the ISO 10993 protocol. The optimal performance, with nearly zero cytotoxicity, was observed with 20 PLA/1 CP/1 DE mass ratios and gamma sterilization. Tension analysis and scanning electron microscopy (SEM) were applied to the 3D-printed composites, which were also analyzed by differential scanning calorimetry (DSC) to understand the origin of the tension properties better, which were comparable to those of cancellous bone. Degradation tests under physiological conditions for 13 weeks showed no significant mass loss. Furthermore, it was observed that cell adhesion, viability, proliferation, and osteoconduction are possible in the scaffolds studied, opening opportunities for future studies to substantiate the use of 3D-printed silica-filled composites as an alternative to homologous implants for various bone regeneration applications.
The Role of Gut Microbiota in the Pathogenesis of Glaucoma: Evidence from Bibliometric Analysis and Comprehensive Review
Authors: Ullah Zakir , Tao Yuanyuan , Mehmood Amina , Huang Jufang
Published: October 2024

The relationship between gut microbiota and glaucoma has garnered significant interest, with emerging evidence suggesting that gut dysbiosis, inflammation, and immune mechanisms may contribute to glaucoma pathogenesis. Understanding these interactions through the gut–retina axis offers new insights into disease progression and potential therapeutic options. This study combines bibliometric analysis and literature review to evaluate research trends and key research areas related to gut microbiota’s role in glaucoma. Our data were collected from the Web of Science Core Collection (WoSCC) and included the English original articles and reviews published between 1 January 2008, and 6 August 2024. Visual and statistical analyses were conducted using VOSviewer and CiteSpace. The analyses comprised 810 citations from leading journals, representing contributions from 23 countries/regions, 111 institutions, 40 journals, and 321 authors. Among the countries and regions involved, the USA and China were the leading contributors, publishing the most articles and being major research hubs. The Experimental Eye Research and Investigative Ophthalmology & Visual Science were the top journals in citation and co-citations that produced high-quality publications. The top 10 highly cited articles were published in high-ranking, top-quartile journals. The frequently occurring keywords were “glaucoma”, “microbiota”, “gut microbiota”, “inflammation”, “gut–retina axis”, and “probiotics”. Our study highlights the growing interest in the association between gut microbiota and glaucoma. It summarizes the possible ways gut microbiota dysbiosis, systemic and neuroinflammation, and autoimmune mechanisms contribute to glaucomatous pathogenesis. Future research should focus on mechanistic studies to elucidate the pathways linking gut microbiota to glaucoma development and progression.
Aquaporin Channels in Skin Physiology and Aging Pathophysiology: Investigating Their Role in Skin Function and the Hallmarks of Aging
Authors: Karimi Nazli , Ahmadi Vahid
Published: October 2024

This study examines the critical role of aquaporins (AQPs) in skin physiology and aging pathophysiology. The skin plays a vital role in maintaining homeostasis by acting as a protective barrier against external pathogens and excessive water loss, while also contributing to the appearance and self-esteem of individuals. Key physiological features, such as elasticity and repair capability, are essential for its proper function. However, with aging, these characteristics deteriorate, reducing the skin’s ability to tolerate environmental stressors which contribute to external aging as well as internal aging processes, which negatively affect barrier function, immune response, and overall well-being. AQPs, primarily known for facilitating water transport, are significant for normal skin functions, including hydration and the movement of molecules like glycerol and hydrogen peroxide, which influence various cellular processes and functions. In this context, we categorized aquaporin dysfunction into several hallmarks of aging, including mitochondrial dysfunction, cellular senescence, stem cell depletion, impaired macroautophagy, dysbiosis, and inflamm-aging. Eight aquaporins (AQP1, 3, 5, 7, 8, 9, 10, and 11) are expressed in various skin cells, regulating essential processes such as cell migration, proliferation, differentiation, and also immune response. Dysregulation or altered expression of these proteins can enhance skin aging and related pathologies by activating these hallmarks. This study provides valuable insights into the potential of targeting aquaporins to mitigate skin aging and improve skin physiologic functions.
Advancements in Research on Mesenchymal Stem-Cell-Derived Exosomal miRNAs: A Pivotal Insight into Aging and Age-Related Diseases
Authors: Huang Minglei , Liu Ye , Zhang Longze , Wang Shuangmin , Wang Xianyao , He Zhixu
Published: October 2024

Mesenchymal stem cells (MSCs) are capable of differentiating into various cell types and play a crucial role in repairing aging tissues and diseased organs. Aging manifests as a gradual loss of cellular, tissue, and organ function, leading to the progression of pathologies. Exosomes (Exos) are extracellular vesicles secreted by cells, which maintain cellular homeostasis, clear cellular debris, and facilitate communication between cells and organs. This review provides a comprehensive summary of the mechanisms for the synthesis and sorting of MSC–Exo miRNAs and summarizes the current research status of MSCs–Exos in mitigating aging and age-related diseases. It delves into the underlying molecular mechanisms, which encompass antioxidative stress, anti-inflammatory response, and the promotion of angiogenesis. Additionally, this review also discusses potential challenges in and future strategies for advancing MSC–Exo miRNA-based therapies in the treatment of aging and age-related diseases.
Miniscrew-Assisted Rapid Palatal Expansion: A Scoping Review of Influencing Factors, Side Effects, and Soft Tissue Alterations
Authors: Labunet Anca , Iosif Cristina , Kui Andreea , Vigu Alexandra , Sava Sorina
Published: October 2024

Background: Miniscrew-assisted rapid palatal expansion (MARPE) has gained attention as an effective alternative to traditional rapid palatal expansion, particularly in adult patients. This scoping review synthesizes recent evidence to assess the clinical efficacy and safety of MARPE, addressing a gap in comprehensive, up-to-date analyses in this area. Objective: To present the recent assessments concerning MARPE influencing factors, side effects, soft tissue alterations, and airway changes, focusing on comparisons with conventional devices. Methods: Using PRISMA guidelines, we conducted a search of the literature published in 2018–2023 using Medline, Scopus, and Embase databases. This review focused on randomized controlled trials, cohort studies, and other reviews that evaluated the outcomes of MARPE. Results: Our analysis included 75 studies and revealed that MARPE significantly improves suture expansion with fewer dental and skeletal side effects compared to traditional methods. The technique shows high efficacy in subjects up to 25 years of age, with reduced incidence of complications and improved stability of expansion. Conclusions: The results support MARPE as a viable and superior alternative for maxillary expansion in late adolescents and adults. Given its advantages over traditional methods, MARPE should be considered a standard procedure in orthodontic treatment plans. Future research should focus on long-term outcomes and optimization of patient-specific treatment protocols.
Neutrophils and Lymphocytes: Yin and Yang of Lung Fibrosis and Patient Outcome in Diffuse Interstitial Lung Diseases
Authors: Novoa-Bolivar Erika M. , Ros José A. , Pérez-Fernández Sonia , Campillo José A. , López-Hernández Ruth , González-López Rosana , Otalora-Alcaraz Almudena , Ortuño-Hernández Cristina , Gimeno Lourdes , Ruiz-Lorente Inmaculada , Ceballos-Francisco Diana , Muro Manuel , Martínez-Camblor Pablo , Minguela Alfredo
Published: October 2024

Objective: Antifibrotics can improve the outcome of patients with idiopathic pulmonary fibrosis (IPF) and other fibrosing interstitial lung diseases (F-ILDs), but predictive biomarkers at diagnosis are needed to guide the use of immunomodulating and antifibrotic therapies. Methods: Flow cytometry quantification of lymphocytes and neutrophils in bronchoalveolar lavage (BAL) of 145 IPFs, 561 non-IPF-ILDs (125 F-ILDs), and 112 BAL controls were retrospectively correlated with the incidence of fibrosis and third-quartile overall survival (Q3–OS). Results: The incidence of IPF was directly proportional (9.6%, 22.2%, and 42.6%, p < 0.001) to BAL neutrophil counts (<5%, 5–15%, and >15%), but inversely proportional (34.1%, 18.6%, and 8.8%, p < 0.001) to BAL lymphocyte counts (<7%, 7–20%, and >20%). Elevated neutrophils (>5%) with low lymphocytes (<7%) were associated with an increasingly higher incidence of IPF (10.0–56.3%, p < 0.001) in patients aged 40 to 80, compared to the rest of patients (13.0–17.1%). Lymphocytes >20% compared to lymphocytes <7% strongly protected patients with neutrophils >15% (59.7% vs. 20.7%, p < 0.001) from IPF. In contrast, the incidence of F-ILD was not clearly related to BAL lymphocyte/neutrophil counts. Although, IPF and F-ILD showed a shorter Q3–OS (1.8 ± 0.3 and 4.6 ± 0.8 years; p < 0.001) than non-fibrotic-ILDs (11.1 ± 1.3 years), lymphocyte and neutrophil counts were associated with a longer and shorter Q3–OS of non-fibrotic-ILDs (p < 0.03) and F-ILDs (p < 0.04), respectively, but not with a Q3–OS of IPF patients (p < 0.708). Corticosteroids in patients with fibrosis showed a shorter Q3–OS than other immunomodulators (2.4 ± 0.3 vs. 4.0 ± 1.8 years, p = 0.011). Conclusions: Accurate counting of BAL lymphocytes and neutrophils by flow cytometry in ILD patients at diagnosis could help guide immunomodulatory and antifibrotic therapies.
How Co-Stimulatory/Inhibitory Molecules Vary Across Immune Cell Subtypes in the Severity of Systemic Lupus Erythematosus Compared to Controls
Authors: Yu Kuang-Hui , Lin Wei-Tzu , Chen Ding-Ping
Published: October 2024

Background: Co-stimulatory and co-inhibitory molecules are critical to T cell responses and involved in the pathogenesis of systemic lupus erythematosus (SLE). This study aimed to comprehensively analyze the surface expression of these molecules in various phenotypic immune cells, comparing the differences between various levels of the severity in SLE and control groups. Methods: Peripheral blood mononuclear cells (PBMCs) were isolated using Ficoll-Paque from blood samples of severe SLE patients (treatment with immunosuppressants), mild SLE patients (excluding those with persistent proteinuria or thrombocytopenia), and healthy controls (n = 10 each). PBMCs were stimulated for 48 h. The cells were stained with anti-CD3, CD4, CD28, PD-1, and CTLA-4 antibodies and analyzed by flow cytometry. Differences between groups were assessed using the Kruskal–Wallis test and Mann–Whitney U-test, with median values and statistical significance (p < 0.05) reported. Results: The results showed that CD28 expression was significantly higher in SLE patients compared to controls, with the highest levels in mild SLE. However, CD3+ CD28+ and CD4+ CD28+ cells were more prevalent in controls (p = 0.032 and 0.017, respectively). Mild SLE patients exhibited the highest CTLA-4 expression, with significant differences from severe SLE and controls (p = 0.030 and 0.037, respectively). PD-1 expression was lowest in severe SLE but highest in mild SLE within CD3+ CD4+ cells (p = 0.001). After 48 h of activation, CD4+ CTLA4+ and CD3+ CTLA4+ expression levels were significantly higher in controls compared to SLE groups. Conclusions: Our study highlighted that the expression of CD28, CTLA-4, and PD-1 in lymphocytes and specific T cell subsets was various according the severity of SLE in patients, underscoring their roles in disease pathogenesis.
Maximizing Nash Social Welfare Based on Greedy Algorithm and Estimation of Distribution Algorithm
Authors: Liao Weizhi , Jin Youzhen , Wang Zijia , Wang Xue , Xia Xiaoyun
Published: October 2024

The Nash social welfare (NSW) problem is relevant not only to the economic domain but also extends its applicability to the field of computer science. However, maximizing Nash social welfare is an APX-hard problem. In this study, we propose two approaches to enhance the maximization of Nash social welfare. First, a general greedy algorithm (GA) capable of addressing the Nash social welfare problem for both agents with identical and differing valuations was presented. It is proven that the proposed algorithm aligns with the previous greedy algorithm when all agents possess identical valuations. Second, an innovative method for solving the Nash social welfare problems using evolutionary algorithms was developed. This approach integrates the Estimation of Distribution Algorithms (EDAs) with neighborhood search techniques to improve the maximization process of Nash social welfare. Finally, the proposed algorithms were implemented across a range of instances with the objective of maximizing Nash social welfare. The experimental results indicate that the approximation solutions derived from the Estimation of Distribution Algorithm outperform those obtained via the greedy algorithm.
Dimensions of Job Demands Among New-Generation Employees Based on Online Reviews by Employees
Authors: Hu Yanrong , Zhou Lixin , Huang Ping , Liu Qingyang , Liu Hongjiu
Published: October 2024

Based on employees’ online reviews, this article analyzes the dimensions of job demand for new-generation employees, using a combination model of Latent Dirichlet Allocation, decision-making trials and evaluation laboratory, interpretative structural modeling, and cross-impact matrix multiplication (LDA—DEMATEL—ISM—MICMAC). The results show that job demand is composed of 10 dimensions, and there is significant interdependence between the dimensions. Changing one dimension will quickly affect the other dimensions. The dimension with the greatest influence degree is leadership and team atmosphere (s1), while the dimension with the highest affected degree and centrality degree is welfare and promotion (s3). Leadership and team atmosphere (s1), company culture and industry (s4), overall environment and platform (s5), and platform and technology (s7) were identified as the key factors. They play a causal role in job demand and have a significant impact on other dimensions. Dimensions such as working relationship and intensity (s2), welfare and promotion (s3), opportunity and resources (s6), business and industry development (s8), corporate prospects and personal development (s9), and work stress and position (s10) are affected by other dimensions and require special attention. The underlying need is present for the dimension of leadership and team atmosphere (s1), which has a direct or indirect impact on other dimensions in different ways.
Problematic Use of Video Games in Schooled Adolescents: The Role of Passion
Authors: Faílde Garrido José María , Dapía Conde María Dolores , Isorna Folgar Manuel , Braña Rey Fátima
Published: October 2024

The present study aims to determine the predictive value of sociodemographic, academic, educational clinical psychological variables—ADHD diagnosis, emotional self-regulation, passion and emotional and behavioural symptoms—and modality of use of video games in adolescents who either make potentially problematic or severely problematic use of video games. This is a descriptive cross-sectional study in which 2.533 Galician students (region located in the northwest of Spain) aged between 11 and 20 years participated, who were selected through multistage random sampling. The mean age was 14.78 years (SD = 1.76). The analysis of the data seems to indicate that in the prediction of the problematic use of video games, different variables are combined, among which passion plays a capital role. In addition, the problematic use of video games is related to poor parental control, poor academic performance, use of addictive substances or to an earlier onset, as well as with the diagnosis of ADHD and with greater negative emotional and behavioural symptoms. The results of this study may be of interest for the design and implementation of preventive and corrective actions aimed at reducing the problematic or addictive use of video games.
Assessment of Vernacular Housing in the Dominican Republic Using Simulations
Authors: Ruiz-Valero Letzai , Flores-Sasso Virginia , Prieto-Vicioso Esteban , Fernández-Flores Gabriela
Published: October 2024

Dominican vernacular architecture, based on the Spanish-influenced indigenous bohio, is built with natural materials. This housing model has remained practically unchanged for five centuries, responding adequately to the tropical Caribbean climate. However, it is necessary to characterize this behavior to verify the indoor comfort conditions of this housing typology. The aim of this research is to evaluate the behavior of a vernacular house located in Villa Sombrero, Peravia Province, Dominican Republic, using a simulation model. For this purpose, a bohio was selected, which has a simple rectangular volume. Simulations were carried out using Design Builder software, considering the passive strategies incorporated in the bohio. The results indicate that indoor ambient temperature remains within the comfort range throughout the annual cycle. It was confirmed that the highest solar gain through exterior windows occurs in the warmer months. Lighting consumption varies between approximately 195 kWh and 220 kWh, with a more stable behavior during the middle months of the year. CO2 emissions followed the same behavior as lighting consumption since it was the only energized element in the bohio. This research demonstrated that passive strategies implemented in the vernacular dwelling work correctly, except for the minimum illuminance level, which needs to be improved.
Evaluating Pull-Out Behavior of Timber Connections: A Comparison of Dowelled Joints and Axially Loaded Screws
Authors: Lee Haksung , Choi Man-Kwon , Seo Bo-Seong , Cho Young-Seok , Kim Byung-Joo
Published: October 2024

This study examines the pull-out behavior of timber elements connected using dowelled joints (type 1) and axially loaded screws (type 2), focusing on numerical predictions and experimental validation under various conditions. Different screw diameters, configurations, material properties, and corrosion resistance are examined. Pull-out tests demonstrated that type 2 connections, particularly using 10 mm and 14 mm screws, outperformed traditional dowelled joints in terms of load capacity. Numerical analysis based on Eurocode 5 showed close alignment with experimental results, particularly for screws with actual thread diameters of 5.2 mm and 6.2 mm, with minor deviations attributed to material variability. The finite volume method (FVM), implemented using the Geodict ElastoDict software, provided additional insights into the mechanical behavior of the connections. Corrosion resistance tests confirmed the long-term durability of fiber-reinforced polymer (FRP) components in saline environments, with negligible material degradation after 28 days of exposure. The 10-90-6 screw configuration was identified as the most efficient, balancing load capacity, displacement, and material cost. These findings highlight the effectiveness of both Eurocode 5 and FVM-based approaches for predicting screw behavior and emphasize the importance of accounting for material heterogeneity in timber connection design.
Innovation Pattern Heterogeneity and Firm Strategic Agility: Push- and Pull-Effects of COVID-19 on Firms’ Innovation Strategies
Authors: Rybalka Marina
Published: October 2024

The coronavirus crisis hit both the world and national economies hard. By using a structural equation modelling (SEM) approach and microlevel data from the Community Innovation Survey (CIS2020) on a representative sample of 6437 Norwegian firms comprising a set of COVID-19-related questions, this paper explores the role of firms’ innovation capabilities and strategic agility in times of crises. Our main hypothesis is that these two concepts are interrelated. More specifically, this paper investigates the ‘push’ and ‘pull’-mechanisms of the pandemic on firms’ innovation strategies, as well as which firms were most agile, adapted quickly, introduced innovation due to the COVID-19 crisis rapidly and became more effective with respect to their pre-crisis innovation capabilities. The results indicate that both mechanisms were active during the coronavirus crisis, and most of the firms carried out strategic reactions and changed their business operations on along-term basis. However, the results for innovation output and efficiency improvements vary significantly. “Process developers”, “active R&D doers” and “radical innovators” (the firms that are persistent innovators with the highest score on performing in-house R&D continuously and on innovating in the pre-crisis period) are found to be most agile during the pandemic. They had both introduced innovation and improved their efficiency in quick response to COVID-19. However, firms with low innovation capabilities demonstrated poorer performance during the crisis. These results imply that pre-existing innovation capabilities are important for firms’ strategic flexibility during crises and their ability to respond to changes quickly and efficiently.
Su(H) Modulates Enhancer Transcriptional Bursting in Prelude to Gastrulation
Authors: Fenelon Kelli D. , Borad Priyanshi , Rout Biraaj , Malidarreh Parisa Boodaghi , Nasr Mohammad Sadegh , Luber Jacob M. , Koromila Theodora
Published: October 2024

Transcriptional regulation, orchestrated by the interplay between transcription factors (TFs) and enhancers, governs gene expression dynamics crucial for cellular processes. While gross qualitative fluctuations in transcription factor-dependent gene expression patterning have a long history of characterization, the roles of these factors in the nuclei retaining expression in the presence or absence of these factors are now observable using modern techniques. Our study investigates the impact of Suppressor of Hairless (Su(H)), a broadly expressed transcription factor, on enhancer-driven transcriptional modulation using Drosophila early embryos as a model system. Building upon previous findings, we employ super-resolution microscopy to dissect Su(H)’s influence on sog-Distal (sogD) enhancer activity specifically in nuclei with preserved sogD-driven expression in the absence of Su(H) binding. We demonstrate that Su(H) occupancy perturbations alter expression levels and bursting dynamics. Notably, Su(H) absence during embryonic development exhibits region-specific effects, inhibiting expression dorsally and stabilizing expression ventrally, implying a nuanced role in enhancer regulation. Our findings shed light on the intricate mechanisms that govern transcriptional dynamics and suggest a critical patterning role for Notch/Hairless signaling in sog expression as embryos transition to gastrulation.