bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Amorphous Halomonas-PHB on Growth, Body Composition, Immune-Related Gene Expression and Vibrio anguillarum Resistance of Hybrid Grouper (Epinephelus fuscoguttatus ♀ × E. lanceolatu ♂) Juveniles
Authors: Xie Wei , Ma Haoran , Gao Meirong , Du Dongdong , Liu Liangsen , Sui Liying
Published: September 2024

Poly-β-hydroxybutyrate (PHB) is a bacterial metabolite produced by bacteria such as Halomonas sp. that serves as a carbon and energy storage compound for bacteria under nutrient-limited conditions. Two experiments were conducted to investigate the effects of dietary supplementation with Halomonas-PHB on hybrid grouper (Epinephelus fuscoguttatus ♀ × E. lanceolatu ♂). In experiment I, juvenile groupers were fed basal diets supplemented with 3% Halomonas-PHB (3% HM-PHB) containing 1.4% PHB and 3% Halomonas (3% HM) without PHB, as well as a control diet, for seven weeks. The results showed no significant difference in survival rate, weight gain, and crude fat content between the 3% HM-PHB group and the control group; however, the crude protein of the 3% HM-PHB group was significantly lower than that of the control group. Furthermore, supplementation with 3% HM-PHB increased the fatty acids content in fish muscles, including long-chain unsaturated fatty acids C18:1n9, EPA, and DHA. In experiment II, groupers were fed a basal diet supplemented with 6.5% Halomonas-PHB (6.5% HM-PHB) containing 3% PHB and 6.5% Halomonas (6.5% HM) containing no PHB, as well as a basal diet (Control). After seven weeks of rearing, the fish were challenged with Vibrio anguillarum for 48 h. Although no significant difference in survival rate and growth was observed among different groups, the dietary supplement of 6.5% Halomonas-PHB improved the survival rate of V. anguillarum challenged grouper and significantly increased the gene expressions of catalase (CAT) and superoxide dismutase (SOD) in blood, interleukin 1 (IL1) and interleukin 10 (IL10) in the liver, spleen, head kidney, and blood (p < 0.05). In conclusion, dietary supplementation of Halomonas-PHB had no significantly positive effect on fish growth performance but increased the content of fatty acids, including long-chain unsaturated fatty acids C18:1n9, EPA, and DHA in fish muscle; it also improved the V. anguillarum resistance, possibly through increasing immune-related gene expression in different tissues and organs. Our findings offer compelling evidence that Halomonas-PHB can be utilized as a feed additive in intensive grouper farming to enhance the groupers’ resistance to Vibrio.
Addition of Cryoprotectant DMSO Reduces Damage to Spermatozoa of Yellow Catfish (Pelteobagrus fulvidraco) during Cryopreservation: Ultrastructural Damage, Oxidative Damage and DNA Damage
Authors: Zhang Yuxin , Liu Dongqing , Wang Qinghua , Ruan Qingxin , Hua Sijie , Zhang Weiwei , Yang Sen , Meng Zining
Published: September 2024

Spermatozoa cryopreservation protocols have been established for yellow catfish (Pelteobagrus fulvidraco), but cryopreservation can still cause cellular damage and affect spermatozoa viability and fertility. Therefore, the aim of this paper was to evaluate the effects of adding or not adding cryoprotectants during low-temperature storage on the ultrastructural damage, oxidative damage, and DNA damage of thawed yellow catfish spermatozoa. The mixed semen of three male yellow catfish was divided into a fresh spermatozoa group, a frozen spermatozoa group (DMSO+) with a cryoprotectant (10% DMSO), and a frozen spermatozoa group without a cryoprotectant (DMSO−). Ultrastructural of the spermatozoa after thawing were observed under an electron microscope and the spermatozoa were assayed for SOD, MDA, and T-AOC enzyme activities, as well as for DNA integrity. In terms of movement parameters, compared with DMSO−, the addition of DMSO has significantly improved sperm motility, curve line velocity (VCL), and straight line velocity (VSL). The ultrastructural results showed that although thawed spermatozoa exhibited increased damage than fresh spermatozoa, 10% DMSO effectively reduced the damage to the plasma membrane, mitochondria, and flagellum of spermatozoa by cryopreservation, and most of the spermatozoa were preserved with intact structure. The results of oxidative damage showed that compared with frozen spermatozoa, 10% DMSO significantly increased the activities of SOD and T-AOC enzymes and clearly reduced the activity of the MDA enzyme. The antioxidant capacity of spermatozoa was improved, lipid peroxidation was reduced, and the oxidative damage caused by cryopreservation was mitigated. The DNA integrity of spermatozoa showed that 10% DMSO clearly reduced the DNA fragmentation rate. In conclusion, 10% DMSO can effectively reduce the ultrastructural damage, oxidative damage, and DNA damage of yellow catfish spermatozoa during cryopreservation; it can also further optimize the cryopreservation protocol for yellow catfish spermatozoa. Meanwhile, it also provides a theoretical basis for the future optimization of the cryopreservation protocols.
The Impact of a Hypoallergenic Diet on the Control of Oral Lesions in Cats: A Case Report
Authors: Silva Luiza da , Martins Taís , Porsani Mariana Yukari Hayasaki , Teixeira Fabio Alves
Published: September 2024

Feline stomatitis or gingivostomatitis is a chronic inflammatory condition affecting approximately 0.7% of patients. The cause is multifactorial, involving infectious agents, genetic factors, and environmental influences. Therapeutic strategies include pharmacological and surgical interventions to controlling inflammation and enhancing patient quality of life. There are discussions in the literature regarding the potential involvement of adverse food reactions as a contributing factor to oral cavity lesions, without clear evidence. This case report describes the control of gingivostomatitis with a hypoallergenic diet in a cat that had oral lesions and who was refractory to conventional treatment with prednisolone and cyclosporine, even after periodontal treatment and partial tooth extraction. After 30 days of dietary change, there was complete remission of the lesions. The animal was then re-exposed to the previous food, with new lesions appearing after 7 days. Upon returning to the hypoallergenic food, there was new remission of the lesions. This report suggests that food sensitivity may play a role in the control of feline gingivostomatitis, as periods of hypoallergenic diet coincided with the remission of the condition, even without changes in medication. It reinforces the importance of investigating adverse food reactions as clinical signs in the oral cavity of cats.
Exploring Antibiotic Use in the Community: A Household-Based Survey Using the Drug Bag Method in Rural Burkina Faso
Authors: Compaoré Adélaïde , Rouamba Toussaint , Kaboré Bérenger , Jacobs Jan , Peeters Grietens Koen , Sariola Salla
Published: September 2024

In Burkina Faso, there is lack of awareness of antibiotic use at the community level. This study aims to generate information on the commonly used antibiotics along with the reasons for which they have been used in rural Burkina Faso. The drug bag method was employed to collect information from 423 households in the health district of Nanoro. Descriptive analyses were performed using R software version 4.2.1. Of the 33 antibiotics inventoried, amoxicillin tablets and oxytetracycline were the most recognized and used antibiotics. This study indicated that antibiotics were used for a range of health problems in the community, some of which were administered as painkillers. While primary healthcare facilities constituted the primary source of drugs for households (76.8%), informal drug sellers constituted an additional option (61.5%) for community members. This is a significant concern, given that some antibiotics classified as “Watch”—such as norfloxacin—were readily available in these outlets, despite not being included on the country’s Essential Medicines List. This study underscores the necessity of considering the role played by formal providers in the inappropriate use of antibiotics and the importance of understanding the circumstances and logical reasoning underlying communities’ access to and use of antibiotics.
Antibiotic Prescribing Habits in Endodontics among Dentists in the Federation of Bosnia and Herzegovina—A Questionnaire-Based Study
Authors: Galić Matea , Miletić Ivana , Poklepović Peričić Tina , Rajić Valentina , Većek Jurčević Nikolina Nika , Pribisalić Ajka , Medvedec Mikić Ivana
Published: September 2024

Backgrounds: Antibiotics are used in endodontic treatment to control acute odontogenic infection and for prophylactic purposes. This study aimed to investigate the knowledge of dentists from the Federation of Bosnia and Herzegovina about the choice and the routes of antibiotic administration in endodontics. Methods: This cross-sectional study involved dentists in Federation of Bosnia and Herzegovina health institutions. The Dental Chamber sent a twelve-question survey to members’ email addresses. They were asked about the type, dosage, indications, and side effects of antibiotics used in endodontics. The obtained data were screened and analyzed. Results: A total of 180 questionnaires were filled out. The most commonly prescribed antibiotic was amoxicillin with clavulanic acid. Pulp necrosis with symptomatic apical periodontitis, swelling, and moderately severe symptoms were the main indications for the therapeutic use of antibiotics. Amoxicillin, administered orally at 2 g 1 h before endodontic surgery for patients with bacterial endocarditis, was mostly indicated for the prophylactic use of antibiotics. Conclusions: Based on the results of this study, we can conclude that dentists from the Federation of Bosnia and Herzegovina have limited knowledge regarding antibiotic use in endodontics. Educational activities and campaigns are necessary to raise awareness about antibiotics in dental medicine in the Federation of Bosnia and Herzegovina.
Enhanced Ischemic Stroke Lesion Segmentation in MRI Using Attention U-Net with Generalized Dice Focal Loss
Authors: Garcia-Salgado Beatriz P. , Almaraz-Damian Jose A. , Cervantes-Chavarria Oscar , Ponomaryov Volodymyr , Reyes-Reyes Rogelio , Cruz-Ramos Clara , Sadovnychiy Sergiy
Published: September 2024

Ischemic stroke lesion segmentation in MRI images represents significant challenges, particularly due to class imbalance between foreground and background pixels. Several approaches have been developed to achieve higher F1-Scores in stroke lesion segmentation under this challenge. These strategies include convolutional neural networks (CNN) and models that represent a large number of parameters, which can only be trained on specialized computational architectures that are explicitly oriented to data processing. This paper proposes a lightweight model based on the U-Net architecture that handles an attention module and the Generalized Dice Focal loss function to enhance the segmentation accuracy in the class imbalance environment, characteristic of stroke lesions in MRI images. This study also analyzes the segmentation performance according to the pixel size of stroke lesions, giving insights into the loss function behavior using the public ISLES 2015 and ISLES 2022 MRI datasets. The proposed model can effectively segment small stroke lesions with F1-Scores over 0.7, particularly in FLAIR, DWI, and T2 sequences. Furthermore, the model shows reasonable convergence with their 7.9 million parameters at 200 epochs, making it suitable for practical implementation on mid and high-end general-purpose graphic processing units.
Lithofacies Prediction from Well Log Data Based on Deep Learning: A Case Study from Southern Sichuan, China
Authors: Shi Yu , Liao Junqiao , Gan Lu , Tang Rongjiang
Published: September 2024

This paper utilizes prevalent deep learning techniques, such as Convolutional Neural Networks (CNNs) and Residual Neural Networks (ResNets), along with the well-established machine learning technique, Random Forest, to efficiently distinguish between common lithologies including coal, sandstone, limestone, and others. This approach is highly significant for resource extraction—such as coal, oil, natural gas, and groundwater—by streamlining the process and minimizing the need for the time-consuming manual interpretation of geophysical logging data. The natural gamma ray, density, and resistivity log data were collected from 22 wells in the mountainous region of Southern Sichuan, China, yielding approximately 70,000 samples for developing lithofacies prediction models. All the models achieved around 80% accuracy in classifying carbonaceous lithologies and up to 88% accuracy in predicting other lithologies. The trained models were applied to the logging data in the validation dataset, and the outputs were validated against geological core data, showing overall consistency, although variations in the classification results were observed across different wells. These findings suggest that deep learning techniques have the potential to develop a general model for effectively handling lithology classification with well logging data.
Fusion of Multiple Attention Mechanisms and Background Feature Adaptive Update Strategies in Siamese Networks for Single-Object Tracking
Authors: Feng Wenliang , Meng Fanbao , Yu Chuan , You Anqing
Published: September 2024

Single-object tracking algorithms based on Siamese full convolutional networks have attracted much attention from researchers owing to their improvement in precision and speed. Since this tracking model only learns a similarity model offline, it is not able to obtain more useful feature discrimination information to adapt to the various variations of targets in complex scenes. To improve the performance of this tracking model, we propose a Siamese network tracking algorithm that incorporates multiple attention mechanisms and an adaptive updating strategy for background features. First, a backbone feature extraction network is proposed that utilizes a small convolutional kernel to fuse jump-layer connectivity features, thereby improving the feature representation capability of the network. Second, an adaptive update strategy for background features is proposed to improve the model’s ability to discriminate between the object and background features. Third, the fusion of multiple attention mechanisms is proposed so that the model learns to focus on the channel, spatial, and coordinate features. Fourth, the response fusion operation is proposed after the inter-correlation operation to enrich the output response of the model. Finally, our algorithm is trained using the GOT-10K dataset and evaluated by testing on the object tracking benchmark datasets OTB100 and VOT2018. The test results show that compared with other algorithms, our algorithm can effectively cope with the problem of degradation of the tracking performance in complex environments, and it can further improve the tracking precision and precision under the premise of ensuring the tracking speed.
Improved Detection of Multi-Class Bad Traffic Signs Using Ensemble and Test Time Augmentation Based on Yolov5 Models
Authors: Garta Ibrahim Yahaya , Tai Shao-Kuo , Chen Rung-Ching
Published: September 2024

Various factors such as natural disasters, vandalism, weather, and environmental conditions can affect the physical state of traffic signs. The proposed model aims to improve detection of traffic signs affected by partial occlusion as a result of overgrown vegetation, displaced signs (those knocked down, bent), perforated signs (those damaged with holes), faded signs (color degradation), rusted signs (corroded surface), and de-faced signs (placing graffiti, etc., by vandals). This research aims to improve the detection of bad traffic signs using three approaches. In the first approach, Spiral Pooling Pyramid-Fast (SPPF) and C3TR modules are introduced to the architecture of Yolov5 models. SPPF helps provide a multi-scale representation of the input feature map by pooling at different scales, which is useful in improving the quality of feature maps and detecting bad traffic signs of various sizes and perspectives. The C3TR module uses convolutional layers to enhance local feature extraction and transformers to boost understanding of the global context. Secondly, we use predictions of Yolov5 as base models to implement a mean ensemble to improve performance. Thirdly, test time augmentation (TTA) is applied at test time by using scaling and flipping to improve accuracy. Some signs are generated using stable diffusion techniques to augment certain classes. We test the proposed models on the CCTSDB2021, TT100K, GTSDB, and GTSRD datasets to ensure generalization and use k-fold cross-validation to further evaluate the performance of the models. The proposed models outperform other state-of-the-art models in comparison.
Exploring the Perceived Ease of Use of an Immersive VR Engine Room Simulator among Maritime Students: A Segmentation Approach
Authors: Bačnar David , Barić Demir , Ogrizović Dario
Published: September 2024

The integration of innovative technologies, such as Virtual Reality (VR), into maritime education presents a substantial challenge but also offers significant potential for enhancing training and knowledge transmission. This study aims to contribute to the existing body of knowledge by providing segmented insights into maritime students’ Perceived Ease of Use (PEU) of an immersive engine room VR simulator. The study analysed a sample of 58 students from the Faculty of Maritime Studies at the University of Rijeka, covering undergraduate, graduate, and specialized maritime education programs. Through hierarchical and non-hierarchical cluster analyses, two distinct segments were identified and named Proactivists and Moderates. The findings reveal significant differences between extracted sub-groups regarding (i) perceived benefits of using the VR engine room simulator in learning and education, (ii) future intention to use the technology, and (iii) overall experience. Study insights can directly aid educators and software developers in enhancing the further implementation of VR technology in maritime education.
Machine Learning-Based Classification of Body Imbalance and Its Intensity Using Electromyogram and Ground Reaction Force in Immersive Environments
Authors: Gul Jahan Zeb , Cheema Muhammad Omar , Mohy Ud Din Zia , Khan Maryam , Kim Woo Young , Rehman Muhammad Muqeet
Published: September 2024

Body balancing is a complex task that includes the coordination of muscles, tendons, bones, ears, eyes, and the brain. Imbalance or disequilibrium is the inability to maintain the center of gravity. Perpetuating body balance plays an important role in preventing us from falling or swaying. Biomechanical tests and video analysis can be performed to analyze body imbalance. The musculoskeletal system is one of the fundamental systems by which our balance or equilibrium is sustained and our upright posture is maintained. Electromyogram (EMG) and ground reaction force (GRF) monitoring can be utilized in cases where a rapid response to body imbalance is a necessity. Body balance also depends on visual stimuli that can be either real or virtual. Researchers have used virtual reality (VR) to predict motion sickness and analyze heart rate variability, as well as in rehabilitation. VR can also be used to induce body imbalance in a controlled way. In this research, body imbalance was induced in a controlled way by playing an Oculus game and, simultaneously, EMG and GRF were recorded. Features were extracted from the EMG and were then fed to a machine learning algorithm. Several machine learning algorithms were tested and upon 10-fold cross-validation; a minimum accuracy of 71% and maximum accuracy of 98% were achieved by Gaussian Naïve Bayes and Gradient Boosting classifiers, respectively, in the classification of imbalance and its intensities. This research can be incorporated into various rehabilitative and therapeutic systems.
Numerical Simulation of Water Migration during Soil Freezing and Its Resulting Characterization
Authors: Zhou Bicheng , Brouchkov Anatoly V. , Eremina Lidia I. , Xu Chunguang , Hu Jiabo
Published: September 2024

Water migration behavior is the main cause of engineering disasters in cold regions, making it essential to understand its mechanisms and the resulting mechanical characteristics for engineering protection. This study examined the water migration process during soil freezing through both experimental and numerical simulations, focusing on the key mechanical outcomes such as deformation and pore water pressure. Initially, a series of controlled unidirectional freezing experiments were performed on artificial kaolin soil under various freezing conditions to observe the water migration process. Subsequently, a numerical model of water migration was formulated by integrating the partial differential equations of heat and mass transfer. The model’s boundary conditions and relevant parameters were derived from both the experimental processes and existing literature. The findings indicate that at lower clay water content, the experimental results align closely with those of the model. Conversely, at higher water content, the modeled results of frost heaving were less pronounced than the experimental outcomes, and the freezing front advanced more slowly. This discrepancy is attributed to the inability of unfrozen water to penetrate once ice lenses form, causing migrating water to accumulate and freeze at the warmest ice lens front. This results in a higher ice content in the freezing zone than predicted by the model, leading to more significant freezing expansion. Additionally, the experimental observations of pore water pressure under freeze–thaw conditions corresponded well with the trends and peaks projected by the simulation results.
Microwave, Ultrasound-Assisted, and Room Temperature One-Pot Synthesis of Silver and Gold Colloids Using Beta-Cyclodextrin as a Reducing and Capping Agent for SERS Applications
Authors: Iacovita Cristian , Toma Valentin , Vedeanu Nicoleta Simona , Știufiuc Rareș-Ionuț , Lucaciu Constantin Mihai
Published: September 2024

Cyclodextrins (CDs) are macrocycles that are well suited for forming inclusion complexes for surface-enhanced Raman scattering (SERS) detection of analytes due to their low Raman activity, which minimizes background SERS signals and enhances the detection of target molecules without interference. In this paper, we systematically investigated the synthesis of both silver (Ag) and gold (Au) nanoparticles (NPs) using CDs as reducing and capping agents in a basic environment using microwave (MW), ultrasound (US), and room temperature (RT) synthesis. We found that replacing NaOH with K2CO3 as an alkaline environment almost doubles the size (from <10 nm to around 20 nm) of AgNPs in the MW-assisted synthesis. Synthesis using the US produces less stable particles due to the sample evolution after US irradiation. Ag (20 nm) and Au (11 nm) were successfully obtained at room temperature in the presence of CDs and K2CO3. All synthesized particles present SERS activity. CD capping allowed us to detect hydrophobic molecules like naphthalene and melamine. In the case of methylene blue, the CD capping prevents the changes induced in the SERS by a basic pH. We also demonstrate that the newly synthesized NPs can discriminate by SERS the propranolol enantiomers. Moreover, propranolol inclusion in CDs leads to a dramatic change in its SERS spectrum.
Effect of Processing and Storage of Very-Low-Sugar Apple Jams Prepared with Sugar Substitution by Steviol Glycosides on Chosen Physicochemical Attributes and Sensory and Microbiological Quality
Authors: Pielak Marlena , Czarniecka-Skubina Ewa
Published: September 2024

Consumers have become more aware of the impact of nutrition on health, paying attention to the composition and origin of food and looking for natural products. There is a trend towards a “healthy” diet with low-energy foods and a preference for healthier alternatives. This study aimed to assess the technological quality and food safety of very-low-sugar apple jams with steviol glycosides substituting sugar in various quantities. Apple jam variants with SG substitution at concentrations of 30, 50, and 80% selected in preliminary studies were subjected to physicochemical, sensory, and microbiological analyses during storage for 3 and 6 months. The studied jams were sensorily acceptable, and no significant changes in the technological quality of the products were observed, apart from color darkening. The microbiological quality during storage for 3 and 6 months was also satisfactory. The use of a natural sweetener, steviol glycosides, in the production of apple jam was shown to be satisfactory. It resulted in a product with taste and odor similar to conventional jam but with a low energy value. This product is suitable for people with diabetes, people on a restrictive diet, or those who pay attention to a product’s natural features, in line with the clean-label trend.
Acoustic Competition for the Golden Medal of Crowd Noise Level: Insights on the Stadia and Sport Buildings in Ancient Times
Authors: Bevilacqua Antonella , Iannace Gino , Tronchin Lamberto
Published: September 2024

Ancient stadia and circuses were considered by Greeks and Romans to be excellent places for live events. Back in ancient times, many people participated in public entertainment from athletic games, as typical of Greek traditions, to combats between gladiators and wild beasts. Among all of them, the most acclaimed were the horse races conducted with chariots, and this was the main sport of ancient Roman stadia. This paper deals with the digital reconstruction of three stadia belonging to the 2nd century B.C. (i.e., Panathenaic Stadium) and to the 1st century A.D. (i.e., Circus Maximum and Stadium of Domitian). The digital models have been rebuilt based on historical resources and archaeological discoveries to conduct the acoustic simulations and understand the acoustic behavior within these places. After the assessment of the main acoustic parameters, the noise levels from crowds have been predicted in different ways: based on information gathered from historic annals, and the comfort used for modern stadia to predict the ancient conditions with reference to the crowd noise levels measured in modern stadiums. The results indicate that the acoustic response of ancient stadia is very similar to the modern ones, in terms of both reverberation and noise level from crowds.
Whispered Speech Recognition Based on Audio Data Augmentation and Inverse Filtering
Authors: Galić Jovan , Marković Branko , Grozdić Đorđe , Popović Branislav , Šajić Slavko
Published: September 2024

Modern Automatic Speech Recognition (ASR) systems are primarily designed to recognize normal speech. Due to a considerable acoustic mismatch between normal speech and whisper, ASR systems suffer from a significant loss of performance in whisper recognition. Creating large databases of whispered speech is expensive and time-consuming, so research studies explore the synthetic generation using pre-existing normal or whispered speech databases. The impact of standard audio data augmentation techniques on the accuracy of isolated-word recognizers based on Hidden Markov Models (HMM) and Convolutional Neural Networks (CNN) is examined in this research study. Furthermore, the study explores the potential of inverse filtering as an augmentation strategy for producing pseudo-whisper speech. The Whi-Spe speech database, containing recordings in normal and whisper phonation, is utilized for data augmentation, while the internally recorded speech database, developed specifically for this study, is employed for testing purposes. Experimental results demonstrate statistically significant improvement in performance when employing data augmentation strategies and inverse filtering.
Control System Modification of a 5-kW Pellet Stove: Study and Analysis
Authors: Álvarez-Murillo Andrés , González González Juan Félix , Piquer Carapeto Javier , Nogales-Delgado Sergio
Published: September 2024

The use of sustainable energy sources is an alternative for fossil fuels, which can represent a positive factor to alleviate many current environmental issues. In that sense, not only sustainable industrial development is important, but also sustainable practices at the local level, including households. Specifically, heating and cooking are one of the most important activities that require energy in households, where the role of biomass could be of interest, as it can provide an energy source with lower environmental impact. However, there is room for improvement in biomass stoves, whose adaptability to specific wastes, as well as their improvement in efficiency, should be accomplished. The aim of this work was to assess the improvement of combustion performance of a domestic stove by the implementation of a programmable logic converter for a better adaptation to different biomass samples (holm oak, pear tree, poplar, and sugarcane bagasse pellets). This work provides further information about the current working protocol, being an alternative for better approaches that could be implemented in future works. Thus, the working regime of the stove was controlled, especially concerning the screw conveyor (to regulate pellet feeding) and flue gas fan (to change oxygen supply). As a result, better combustion performances were obtained, with heat capacities from 5.66 to 8.67 kW for the selected samples. Also, thermal capacities of the stove (1.43, 1.60, 2.22, and 1.83 kW for holm oak, pear tree, poplar, and sugarcane bagasse, respectively) were obtained, with a better combustion performance compared to previous studies (1600 and 120 ppm peak emissions for CO and NOx, respectively, and 15% as the lowest O2 concentration). On the other hand, different improvements of the combustion stove to avoid blockages, for instance, are proposed as further steps.
Numerical Simulation and Engineering Application of Synergistic Support Effect of Bolt–Mesh–Cable Support in Gob-Side Entry of Deep Soft Coal Seam
Authors: Ma Haifeng , Zhang Shuo , Zhai Huaiyi , Liu Zenghui , Jie Chuang
Published: September 2024

Aiming at solving the problem of support failure caused by a large deformation of roadway surrounding rock in a deep soft coal seam, and taking the surrounding rock control of the roadway in the 11-2 coal seam in Zhujidong Coal Mine as the research background, numerical simulation and field industrial test and inspection methods were used to study the support effect of a supporting system of gob-side entry in deep soft coal seam. The deformation characteristics of various supporting systems of metal mesh, diamond mesh, metal mesh with anchor rod, steel ladder beam, M-shaped steel belt, 14#b channel steel, and 11# I-steel in the goaf supporting body of deep soft coal seam were studied under vertical load. The supporting effect of effective compressive stress zone generated by bolt and cable under different row spacings and lengths was analyzed, and the law of variation in the compressive stress field generated by supporting members with supporting parameters was explored. The length and interrow distance of bolt and cable were compared, respectively, and reasonable supporting parameters were selected. Based on the abovementioned research results and the geological conditions of the 1331 (1) track roadway, the support scheme of the 1331 (1) track roadway was designed, and the industrial test was carried out. The results show that the surrounding rock of the roadway is within the effective anchorage range of the supporting body, the active support function of the supporting components has been fully brought into play, and the overall control effect of the surrounding rock of the roadway is good, which can ensure the safety and stability of the goaf roadway. The maximum displacement of the roof and floor of the roadway is 86 mm, the maximum displacement of the solid coal side is 50 mm, the maximum displacement of the coal pillar side is 70 mm, and the maximum separation of layers is 22 mm. There is no failure phenomenon in relation to the anchor bolt and cable, and the overall deformation of the roadway surrounding the rock is good, which can provide some references for roadway-surrounding-rock control under similar conditions in deep coal seams.
Multi-Criteria Decision-Making Techniques for Optimal In-House Storage Location Selection
Authors: Průša Petr , Mikušová Nikoleta , Becková Helena
Published: September 2024

Storage is a key task of a logistics enterprise. Effective storage processes can increase the efficiency of enterprise logistics processes and positively affect logistics costs. Therefore, it is very important to deal with selecting storage locations within the enterprise area. The present paper deals with the optimal in-house storage location. The research was realized through a Czech Republic brewing company case study which aimed to find and select the best in-house storage location. The decision-making methods chosen for this solution were the additive ratio assessment method and the combined compromised solution method. While these methods are rarely used for this kind of solution-making, they helped to find the best location for reasonable storage in the research enterprise.
Semi-Classical Limit and Quantum Corrections in Non-Coincidence Power-Law f(Q)-Cosmology
Authors: Paliathanasis Andronikos
Published: September 2024

Within the framework of symmetric teleparallel fQ-gravity, using a connection defined in the non-coincidence gauge, we derive the Wheeler–DeWitt equation of quantum cosmology. The gravitational field equation in fQ-gravity permits a minisuperspace description, rendering the Wheeler–DeWitt equation a single inhomogeneous partial differential equation. We use the power-law fQ=f0Qμ model, and with the application of linear quantum observables, we calculate the wave function of the universe. Finally, we investigate the effects of the quantum correction terms in the semi-classical limit.
Applications of Fuzzy Logic and Probabilistic Neural Networks in E-Service for Malware Detection
Authors: Kuk Kristijan , Stanojević Aleksandar , Čisar Petar , Popović Brankica , Jovanović Mihailo , Stanković Zoran , Pronić-Rančić Olivera
Published: September 2024

The key point in the process of agent-based management in e-service for malware detection (according to accuracy criteria) is a decision-making process. To determine the optimal e-service for malware detection, two concepts were investigated: Fuzzy Logic (FL) and Probabilistic Neural Networks (PNN). In this study, three evolutionary variants of fuzzy partitioning, including regular, hierarchical fuzzy partitioning, and k-means, were used to automatically process the design of the fuzzy partition. Also, this study demonstrates the application of a feature selection method to reduce the dimensionality of the data by removing irrelevant features to create fuzzy logic in a dataset. The behaviors of malware are analyzed by fuzzifying relevant features for pattern recognition. The Apriori algorithm was applied to the fuzzified features to find the fuzzy-based rules, and these rules were used for predicting the output of malware detection e-services. Probabilistic neural networks were also used to find the ideal agent-based model for numerous classification problems. The numerical results show that the agent-based management performances trained with the clustering method achieve an accuracy of 100% with the PNN-MCD model. This is followed by the FL model, which classifies on the basis of linguistic variables and achieves an average accuracy of 82%.
An Insert Goniometer Can Help Select the Optimal Insert Thickness When Performing Kinematically Aligned Total Knee Arthroplasty with a Medial 1:1 Ball-in-Socket and Lateral Flat Surface Insert and Posterior Cruciate Ligament Retention
Authors: Sanghavi Sahil A. , Nedopil Alexander J. , Howell Stephen M. , Hull Maury L.
Published: September 2024

Current surgical practices in total knee arthroplasty (TKA) have advanced and include significant changes and improvements in alignment philosophies, femorotibial implant conformities, and ligament management to replicate in vivo knee kinematics. While corrective measures have emphasized sagittal plane alignment to restore normal flexion–extension (F–E) motion and coronal plane ligament balance, internal–external (I–E) rotation kinematics in the axial plane have been largely neglected. Recent in vivo evidence indicates that the combination of factors necessary to closely restore native tibial rotation as the knee flexes and extends is kinematic alignment (KA), which resurfaces the patient’s pre-arthritic knee without releasing ligaments, an insert with medial 1:1 ball-in-socket conformity and a lateral flat surface, and posterior cruciate ligament (PCL) retention. However, the inherent anterior–posterior (A–P) stability provided by the medial 1:1 ball-in-socket limits the surgeon’s ability to select the correct insert thickness using manual laxity testing. Accordingly, this review presents the design and validation of an instrument called an insert goniometer that measures I–E tibial rotation for inserts that differ in thickness by 1 mm and uses rotation limits at extension and 90° flexion to select the optimal insert thickness. The optimal thickness is the one that provides the greatest external tibial orientation in extension and internal tibial orientation at 90° flexion without lift-off of the insert.
Biomechanical Gait Analysis Using a Smartphone-Based Motion Capture System (OpenCap) in Patients with Neurological Disorders
Authors: Min Yu-Sun , Jung Tae-Du , Lee Yang-Soo , Kwon Yonghan , Kim Hyung , Kim Hee , Lee Jung , Park Eunhee
Published: September 2024

This study evaluates the utility of OpenCap (v0.3), a smartphone-based motion capture system, for performing gait analysis in patients with neurological disorders. We compared kinematic and kinetic gait parameters between 10 healthy controls and 10 patients with neurological conditions, including stroke, Parkinson’s disease, and cerebral palsy. OpenCap captured 3D movement dynamics using two smartphones, with data processed through musculoskeletal modeling. The key findings indicate that the patient group exhibited significantly slower gait speeds (0.67 m/s vs. 1.10 m/s, p = 0.002), shorter stride lengths (0.81 m vs. 1.29 m, p = 0.001), and greater step length asymmetry (107.43% vs. 91.23%, p = 0.023) compared to the controls. Joint kinematic analysis revealed increased variability in pelvic tilt, hip flexion, knee extension, and ankle dorsiflexion throughout the gait cycle in patients, indicating impaired motor control and compensatory strategies. These results indicate that OpenCap can effectively identify significant gait differences, which may serve as valuable biomarkers for neurological disorders, thereby enhancing its utility in clinical settings where traditional motion capture systems are impractical. OpenCap has the potential to improve access to biomechanical assessments, thereby enabling better monitoring of gait abnormalities and informing therapeutic interventions for individuals with neurological disorders.
Optical Image Sensors for Smart Analytical Chemiluminescence Biosensors
Authors: Abbasi Reza , Hu Xinyue , Zhang Alain , Dummer Isabelle , Wachsmann-Hogiu Sebastian
Published: September 2024

Optical biosensors have emerged as a powerful tool in analytical biochemistry, offering high sensitivity and specificity in the detection of various biomolecules. This article explores the advancements in the integration of optical biosensors with microfluidic technologies, creating lab-on-a-chip (LOC) platforms that enable rapid, efficient, and miniaturized analysis at the point of need. These LOC platforms leverage optical phenomena such as chemiluminescence and electrochemiluminescence to achieve real-time detection and quantification of analytes, making them ideal for applications in medical diagnostics, environmental monitoring, and food safety. Various optical detectors used for detecting chemiluminescence are reviewed, including single-point detectors such as photomultiplier tubes (PMT) and avalanche photodiodes (APD), and pixelated detectors such as charge-coupled devices (CCD) and complementary metal–oxide–semiconductor (CMOS) sensors. A significant advancement discussed in this review is the integration of optical biosensors with pixelated image sensors, particularly CMOS image sensors. These sensors provide numerous advantages over traditional single-point detectors, including high-resolution imaging, spatially resolved measurements, and the ability to simultaneously detect multiple analytes. Their compact size, low power consumption, and cost-effectiveness further enhance their suitability for portable and point-of-care diagnostic devices. In the future, the integration of machine learning algorithms with these technologies promises to enhance data analysis and interpretation, driving the development of more sophisticated, efficient, and accessible diagnostic tools for diverse applications.
Revisiting the Venoarteriolar Reflex–Further Insights from Upper Limb Dependency in Healthy Subjects
Authors: Silva Henrique , Rezendes Carlota
Published: September 2024

The venoarteriolar reflex (VAR) is described as a vasoconstriction occurring in response to an increase in venous transmural pressure. Its underlying mechanisms are still not clarified, particularly the neural pathway that supposedly evokes this reflex. In addition, recent studies have shown that the postural maneuvers that evoke VAR also produce a decrease in contralateral perfusion, which is also poorly understood. Our study aimed to explore the contralateral response to unilateral upper limb dependency and its underlying mechanisms. Fifteen young, healthy subjects (24.1 ± 5.8 y.o.) participated in this study after giving informed consent. While seated, subjects remained for 7 min with both arms at heart level (baseline), after which a random hand was placed 40 cm below the heart level for 5 min (dependency) before resuming the initial position for another 7 min (recovery). Skin perfusion was assessed bilaterally with photoplethysmography, and electrodermal activity (EDA) was assessed in the contralateral hand. During hand dependency, perfusion decreased significantly in both limbs, although it was more pronounced in the dependent limb, corroborating previous reports that unilateral limb dependency evokes a decrease in contralateral perfusion. Transient EDA peaks were detected in the first seconds of the dependency and recovery phases. These results support the participation of the sympathetic nervous system as a mechanism regulating contralateral perfusion during unilateral limb dependency. This sympathetic activation is probably attributed to the postural changes themselves and is likely not related to the VAR.
From Brain to Muscle: The Role of Muscle Tissue in Neurodegenerative Disorders
Authors: Duranti Elisa , Villa Chiara
Published: September 2024

Neurodegenerative diseases (NDs), like amyotrophic lateral sclerosis (ALS), Alzheimer’s disease (AD), and Parkinson’s disease (PD), primarily affect the central nervous system, leading to progressive neuronal loss and motor and cognitive dysfunction. However, recent studies have revealed that muscle tissue also plays a significant role in these diseases. ALS is characterized by severe muscle wasting as a result of motor neuron degeneration, as well as alterations in gene expression, protein aggregation, and oxidative stress. Muscle atrophy and mitochondrial dysfunction are also observed in AD, which may exacerbate cognitive decline due to systemic metabolic dysregulation. PD patients exhibit muscle fiber atrophy, altered muscle composition, and α-synuclein aggregation within muscle cells, contributing to motor symptoms and disease progression. Systemic inflammation and impaired protein degradation pathways are common among these disorders, highlighting muscle tissue as a key player in disease progression. Understanding these muscle-related changes offers potential therapeutic avenues, such as targeting mitochondrial function, reducing inflammation, and promoting muscle regeneration with exercise and pharmacological interventions. This review emphasizes the importance of considering an integrative approach to neurodegenerative disease research, considering both central and peripheral pathological mechanisms, in order to develop more effective treatments and improve patient outcomes.
UT-1 Transporter Expression in the Spiny Dogfish (Squalus acanthias): UT-1 Protein Shows a Different Localization in Comparison to That of Other Sharks
Authors: Cutler Christopher P. , Omoregie Esosa , Ojo Tolulope
Published: September 2024

The original UT-1 transporter gene was initially identified in the spiny dogfish (Squalus acanthias), but localization of the UT-1 protein was not determined. Subsequent UT-1 expression was shown to localize to the collecting tubule (CT) of the shark nephron in other shark species, with expression in a closely related chimaera species also located additionally at a lower level in the intermediate-I segment (IS-I) of the nephron. In spiny dogfish, two UT-1 splice variants are known (UT-1 long and short), and there was also a second UT-1 gene described (here termed Brain UT). In this study, a second splice variant of the second Brain UT gene was discovered. Expression profiles (mRNA) of UT-1 long and short and Brain UT were determined in a number of spiny dogfish tissues. Quantitative PCR in kidney samples showed that the level of the short variant of UT-1 was around 100 times higher than the long variant, which was itself expressed around 10 times higher than Brain UT cDNA/mRNA (in kidney). For the long variant, there was a significantly higher level of mRNA abundance in fish acclimatized to 75% seawater. Ultimately, three UT-1 antibodies were made that could bind to both the UT-1 short and long variant proteins. The first two of these showed bands of appropriate sizes on Western blots of around 52.5 and 46 kDa. The second antibody had some additional lower molecular weight bands. The third antibody was mainly bound to the 46 kDa band with faint 52.5 kDa staining. Both the 52.5 and 46 kDa bands were absent when the antibodies were pre-blocked with the peptide antigens used to make them. Across the three antibodies, there were many similarities in localization but differences in subcellular localization. Predominantly, antibody staining was greatest in the intermediate segment 1 (IS-I) and proximal (PIb) segments of the first sinus zone loop of the nephron, with reasonably strong expression also found at the start and middle of the late distal tubule (LDT; second sinus zone loop). While some expression in the collecting tubule (CT) could not be ruled out, the level of staining seemed to be low or non-existent in convoluted bundle zone nephron segments such as the CT. Hence, this suggests that spiny dogfish have a fundamentally different mode of urea absorption in comparison to that found in other shark species, potentially focused more on the nephron sinus zone loops than the CT.