bluuebunny/crossref_metadata_2025 huggingface dataset:
Esports Training, Periodization, and Software—A Scoping Review
Authors: Białecki Andrzej , Michalak Bartłomiej , Gajewski Jan
Published: November 2024

Electronic sports (esports) and research on this emerging field are interdisciplinary in nature. By extension, it is essential to understand how to standardize and structure training with the help of existing tools, developed over years of research in sports sciences and informatics. Our goal for this work is to review the available literature in esports research, focusing on sports sciences (training, periodization, planning, and career stages) and software (training tools, visualization, analytics, and feedback systems). To verify the existing sources, we applied the framework of a scoping review to address the search from multiple scientific databases with further local processing. We conclude that the current research on esports has mainly focused on describing and modeling performance metrics that span over multiple fragmented research areas (psychology, nutrition, informatics). However, these building blocks have not been assembled into a well-functioning theory of performance in esports by, e.g., providing exercise regimes or methods of periodization for esports.
Modeling and Optimization of NO2 Stations in the Smart City of Barcelona
Authors: Soriano-Gonzalez Raquel , Martin Xabier A. , Perez-Bernabeu Elena , Carracedo Patricia
Published: November 2024

The growing problem of nitrogen dioxide (NO2) pollution in urban environments is driving cities to adopt smart and sustainable approaches to address this challenge. To quantify and compare the effect of environmental policies, cities must be able to make informed decisions with real-time data that reflect the actual situation. Therefore, the objective of this work is threefold: The first is to study the behavior of the key performance indicator (KPI) of NO2 concentrations per station in Barcelona through exploratory analysis and clustering. The second is to predict NO2 concentration behavior, considering meteorological data. Lastly, a new distribution of current and new stations will be proposed using an optimization algorithm that maximizes the distance between them and covers the largest area of the city. As a result of this study, the importance of the location of measurement points and the need for better distribution in the city are highlighted. These new spatial distributions predict an 8% increase in NO2 concentrations. In conclusion, this study is a comprehensive tool for obtaining an accurate representation of NO2 concentrations in the city, contributing to informed decision-making, helping to improve air quality, and promoting a more sustainable urban environment.
Numerical Estimation of Bending in Holographic Volume Gratings by Means of RCWA and Deep Learning
Authors: Colomina-Martínez Jaume , Bravo Juan Carlos , Sirvent-Verdú Joan Josep , Moya-Aliaga Adrián , Francés Jorge , Neipp Cristian , Beléndez Augusto
Published: November 2024

In this paper, we introduce a novel approach to model bending phenomena on holographic volume gratings based on Rigorous Coupled Wave Analysis (RCWA), in which the bending as a phase in the dielectric permittivity expansion is introduced, and the Shooting Method (SM) is employed to solve the resulting system of equations. Further validation of our model is conducted by comparing its predictions to those obtained from reference Finite-Difference Time-Domain (FDTD) simulations and Coupled Wave Theory (CWT, referring to Kubota’s model that includes the bending phenomenon). Furthermore, we propose a methodology for estimating the bending from the diffraction efficiency curves in transmission volume gratings based on deep learning models, with a subsequent study of their accuracy and applicability.
Design of a Supercapacitor Module and Control Algorithm for Practical Verification of a Hybrid Energy Storage System
Authors: Resutík Patrik , Kaščák Slavomír , Praženica Michal
Published: November 2024

This paper presents an approach to designing a supercapacitor (SC) module according to defined power profiles and providing a control algorithm for sharing the energy from the SC module and accumulator in a hybrid energy storage system (HESS). This paper also presents a view of a printed circuit board (PCB) of the SC module and an interconnection board between the bidirectional converter, accumulator, and SC module. The practical part of the paper presents the measurement of the voltages and currents on the SC module, accumulator, and output of the DC/DC converter to visualize the energy flow between them.
Provenance and Paleo-Environment of the Late Carboniferous Bauxite Formations in Southern Shanxi
Authors: Liu Dongna , Jia Wenjie , Zhao Fenghua , Li Rongrong , Zhang Shangqing , Zhao Jun , Li Ning
Published: November 2024

The Carboniferous Benxi Formation in southern Shanxi of North China has significant bauxite resource potential; however, the source of its metallogenic material and its sedimentary environment remain unclear. The microscopy, X-ray diffraction, X-ray fluorescence spectroscopy, and inductively coupled plasma mass spectrometry methods were applied in this study to examine the mineralogical, petrographic, and geochemical characteristics. Geochemical proxies of La/Y, Sr/Ba, Al2O3/TiO2, Zr/Sc, Th/Sc, La/Sc, and Th/Co were analyzed to investigate the paleo-depositional environment and provenance of the aluminum-bearing strata. The findings indicate that diaspores are the primary ore minerals in bauxite, while kaolinite and rutile are the predominant gangue minerals. Both the bauxite and claystone/aluminous rocks exhibit high enrichment in Li, Bi, and U, with relative enrichment in In, Sb, Th, Nb, and Ta. Li is notably concentrated in the claystone/aluminous rocks, reaching up to 1994.00 μg/g, primarily occurring in cookeite and boehmite, while U is highly concentrated in the bauxite. The aluminum-bearing strata were primarily formed under alkaline-reducing conditions, with changes in acidity and alkalinity of the environment during the sedimentary diagenetic process. Marine transgressions significantly impacted the sedimentary environment of the aluminum-bearing strata, and the paleoclimate was characterized as hot and humid. The principal factors contributing to enrichment of aluminum in the sedimentary basin were the in situ weathering of aluminum-rich source rocks and the transport of clastic materials from high-aluminum source rocks. The source rocks were closely associated with intermediate-acidic magmatic rocks and potentially related to the weathering of Ordovician carbonates.
Enhancing Emergency Cognitive Ability in College Students Under Emergencies: A Study of Influencing Factors and Hierarchical Relationships
Authors: Chen Lei , Li Hongxia
Published: November 2024

This study addresses the need to enhance college students’ emergency cognitive ability by identifying key influencing factors and analyzing their hierarchical structure. To fill the gap in understanding these relationships, we used grounded theory to identify 12 influencing factors through a literature review, case analysis, and interviews. The interpretive structural modeling (ISM) method categorized these factors into three levels: direct, key, and root factors. Root factors such as risk awareness, crisis perception, and responsibility are core to the cognitive ability framework and have a profound impact on students’ responses to emergencies. Further, the matrix of cross-impact multiplications applied to classification (MICMAC) analysis categorized the factors based on driving force and dependency, showing strong interrelationships. The integration of ISM-MICMAC methods offers a novel approach to understanding the hierarchical influence among factors, enabling educational institutions and policymakers to design targeted emergency training programs. By incorporating information technology into the educational process, this research provides practical guidance for enhancing students’ preparedness and resilience in emergencies. The findings support policy development and the design of effective educational interventions, offering valuable insights for administrators, policymakers, and emergency management professionals in creating safer, more resilient educational environments.
The Prediction of the Leakage Airflow Rate Using the Supply and Return Airflow Rate in a Variable Air Volume System
Authors: Kim Kyung-Won , Kim Hyo-Jun , Lee Jin-Hyun , Cho Young-Hum
Published: November 2024

Pressure differences in the envelope of a building result in leakage airflow (i.e., the unintended flow of air). This can lead to increased building heating and cooling energy, decreased thermal comfort for occupants, and the spread of moisture. To address this problem, it is necessary to know the leakage airflow in a building. Generally, the leakage airflow in a building is calculated by determining the leakage function through fan pressurization methods, such as the blower door test, and substituting the pressure difference measured by the pressure sensor. However, it is difficult to install continuous pressure sensors in an operating building. Therefore, this study proposes a method to utilize the supply and return airflow of an air conditioning system to predict the variation in the leakage airflow with changing indoor and outdoor airflow, and the efficacy of this approach was verified through experiments. The experiment measured the indoor and outdoor pressure difference of the building with a change in the speed of the supply and return fans and the opening rate of the variable air volume (VAV) damper. As a result of the experiment, the indoor–outdoor pressure difference is proportional to the difference between the indoor supply airflow and the ventilation airflow. In addition, the relationship between the pressure difference and the leakage airflow was derived through the pressurization/decompression method using an air handler, and the leakage airflow from the pressure difference generated by the operation of the air conditioning system was calculated. Lastly, the relationship between the supply and return airflow difference and the leakage airflow was derived based on the experimental results, and the leakage airflow was predicted based on the relationship.
Fast and Efficient Lunar Finite Element Gravity Model
Authors: Nguyen Giaky , Younes Ahmad Bani , Atallah Ahmed
Published: November 2024

In this paper, the finite element method (FEM) is integrated with orthogonal polynomial approximation in high-dimensional spaces to innovatively model the Moon’s surface gravity anomaly. The aim is to approximate solutions to Laplace’s classical differential equations of gravity, employing classical Chebyshev polynomials as basis functions. Using classical Chebyshev polynomials as basis functions, the least-squares approximation was used to approximate discrete samples of the approximation function. These test functions provide an understanding of errors in approximation and corresponding errors due to differentiation and integration. These test functions provide an understanding of errors in approximation and corresponding errors due to differentiation and integration. The first application of this project is to substitute the globally valid classical spherical harmonic series of approximations with locally valid series of orthogonal polynomial approximations (i.e., using the FEM approach). With an error tolerance set at 10−9ms−2, this method is used to adapt the gravity model radially upwards from the lunar surface. The results showcase a need for a higher degree of approximation on and near the lunar surface, with the necessity decreasing as the radius increases. Notably, this method achieves a computational speedup of five orders of magnitude when applying the method to radial adaptation. More intrinsically, the second application involves using the methodology as an effective tool in solving boundary value problems. Specifically, this approach is implemented to solve classical differential equations involved with high-precision, long-term orbit propagation. This application provides a four-order-of-magnitude speedup in computational time while maintaining an error within the 10−10ms−2 error range for various orbit propagation tests. Alongside the advancements in orthogonal approximation theory, the FEM enables revolutionary speedups in orbit propagation without compromising accuracy.
Effect of Washing Temperature on Adsorption of Cationic Dyes by Raw Lignocellulosic Biomass
Authors: Bounaas Meryem , Bouguettoucha Abdallah , Chebli Derradji , Derbal Kerroum , Benalia Abderrezzaq , Pizzi Antonio
Published: November 2024

This study evaluated the potential of using raw Maclura pomifera and wild carob for the treatment of methylene blue (MB) and crystal violet (CV) as part of the search for new, abundant, and cost-effective natural materials applicable for wastewater treatment. Additionally, it explored the impact of washing water temperature on the adsorption performance of these raw organic materials. The physicochemical properties of the materials were characterized using BET, SEM/EDS, and FTIR analyses. The effects of various experimental parameters were investigated through batch adsorption experiments. The results demonstrated that the influence of washing water temperature was material-dependent. For Maclura pomifera, the maximum adsorption capacity of methylene blue and crystal violet decreased from 134.4 and 136.6 mg g−1 for MPC to 67.1 and 90.5 mg g−1 for MPH. In contrast, the adsorption capacities of wild carob biosorbents remained consistent, with the maximum amounts adsorbed for methylene blue and crystal violet by CC, CW, and CH being close, around 78.8 and 98.9 mg g−1, respectively, indicating a minimal effect of washing temperature on this material. The adsorption of both dyes onto the adsorbents was positively affected by increasing the pH, contact time, and initial dye concentration and was negatively affected by increasing adsorbent dose or ionic strength. Adsorption isotherms and kinetics were modeled using various mathematical approaches. The kinetic data were accurately described by a pseudo-second-order model, with a significant contribution from intraparticle diffusion. The Sips and Redlich–Peterson models provided the best fit for the adsorption isotherms of both dyes on the biosorbents. These findings confirm that the selected biomaterials are excellent adsorbents for the removal of cationic dyes.
Analysis and Application of Particle Backtracking Algorithm in Wind–Sand Two-Phase Flow Using SPH Method
Authors: Gao Wenxiu , Jin Afang , An Zhenguo , Yan Ming
Published: November 2024

Due to the high sensitivity of grid-based micro-scale wind–sand flow models to deformation and distortion, this study employs the Smooth Particle Hydrodynamics (SPH) method for numerical simulations. The advantage of the SPH method is that it can dynamically analyze the entire trajectory of the particles, thus allowing the initial positional distribution of sand-buried particles to be traced. This study utilizes the advantages of the SPH method. It develops particle backtracking algorithms based on the SPH method using the C language. It analyses the initial location distribution, concentration, velocity, and particle size distribution of sand-buried particles to formulate targeted measures to cope with wind–sand disasters. Meanwhile, this paper improves a particle modeling algorithm to realize arbitrary mixing particle size and mixing ratio by programming in C language and combining it with pixel recognition technology. In addition, this paper will use the particle backtracking algorithm to analyze the classical embankment wind and sand flow field and then propose adequate measures for embankment wind and sand disaster management by investigating sand particle movement characteristics.
Progress in Improving Photovoltaics Longevity
Authors: Dimitriou Tsampika , Skandalos Nikolaos , Karamanis Dimitrios
Published: November 2024

With the increase of photovoltaic (PV) penetration in the power grid, the reliability and longevity of PV modules are important for improving their payback period and reducing recycling needs. Although the performance of PV systems has been optimized to achieve a multi-fold increase in their electricity generation compared to ten years ago, improvements in lifespan have received less attention. Appropriate operation and maintenance measures are required to mitigate their aging. PV cells and modules are subject to various degradation mechanisms, which impact their long-term performance and reliability. Understanding these degradation processes is crucial for improving the lifetime and sustainability of solar energy systems. In this context, this review summarizes the current knowledge on key degradation mechanisms (intrinsic, extrinsic, and specific) affecting PV modules, as well as on-site and remote sensing methods for detecting PV module defects and the mitigation strategies employed for enhancing their operational lifetime under different climatic conditions in the global environment.
Personal and Clinical Predictors of Voice Therapy Outcomes: A Machine Learning Analysis Using the Voice Handicap Index
Authors: Lee Ji-Yeoun , Park Ji Hye , Lee Ji-Na , Jung Ah Ra
Published: November 2024

In this study, we examine the predictive factors influencing the outcomes of voice treatment in patients with voice-related disorders, using the voice handicap index (VHI) as a key assessment tool. By analyzing various personal habits and clinical variables, we identify the primary factors associated with changes when comparing VHI scores before and after voice treatment. For this research, we employed binomial logistic regression, random forest (RF), and a multilayer perceptron (MLP) model to evaluate the effectiveness of voice treatment. The findings reveal that gender (with female patients showing greater improvements in VHI scores compared to male patients), surgical history, voice use status, and voice training status are significant predictors of therapy outcomes. The MLP model demonstrated high accuracy, sensitivity, and specificity, with an area under the curve (AUC) value of 0.87 indicating its potential as a valuable clinical predictive tool; however, the model’s relatively low specificity suggests the need for further refinement to enhance its predictive accuracy. The results of this study provide valuable insights for clinicians and speech–language pathologists in developing personalized treatment strategies to optimize the effectiveness of voice therapy. Future research should prioritize the validation of these findings in larger and more diverse population samples. Furthermore, it is essential to explore additional predictive variables in order to enhance the model’s accuracy across different types of voice disorders.
Multi-Task Agent Hybrid Control in Sparse Maps and Complex Environmental Conditions
Authors: Wang Linhai , Yu Su , Li Mou , Wei Xiaolong
Published: November 2024

With the rapid development of space exploration technology, the detection of extraterrestrial bodies has become increasingly important. Among these, path planning and target recognition and positioning technologies are particularly critical for applications in intelligent agents with low computational power operating in complex environments. This paper presents a novel approach to path planning on low-resolution lunar surface maps by introducing an improved A* algorithm with an adaptive heuristic function. This innovation enhances robustness in environments with limited map accuracy and enables paths that maintain maximum distance from obstacles. Additionally, we innovatively propose the Dynamic Environment Target Identification and Localization (DETIL) algorithm, which identifies unknown obstacles and employs spatiotemporal clustering to locate points of interest. Our main contributions provide valuable references for the aerospace industry, particularly in lunar exploration missions. The simulation results demonstrate that the improved A* algorithm reduces the maximum elevation difference by 55% and the maximum cumulative elevation difference by 68% compared to the traditional A* algorithm. Furthermore, the DETIL algorithm’s obstacle identification component successfully recognizes all the obstacles along the path, and its spatiotemporal clustering improves the average number of target discoveries by 152% over the conventional DBSCAN clustering approach.
A Practical Approach on Reducing the Flood Impact: A Case Study from Romania
Authors: Popescu Nicolae-Cristian , Bărbulescu Alina
Published: November 2024

Recently, the frequency and intensity of extreme weather events have increased in many regions worldwide. Among them, floods, whose effects are devastating in many cases, have been recorded in Romania in the last few years. Built to reduce the flooding effects on the communities, structures such as embankments can sometimes accentuate the hazard. This article investigates such a situation and proposes solutions to reduce or even eliminate the flood impact on the community living in the Vărbilău Catchment in Romania. Recorded data series, field observations, GIS techniques, and hydraulic modeling were used to design the hazard maps and perform the 3D representations that illustrate the actual situation (when the small opening of the bridge favors the flooding) and the proposed solutions (extending the bridge opening and shortening the embankment). It is shown that adding seven pillars to the bridge would reduce the flooded surface by more than 1.5 times and the affected buildings’ surface by more than 3.5 times compared to the current situation.
Metal Contamination and Human Health Risk Assessment of Soils from Parks of Industrialized Town (Galati, Romania)
Authors: Ene Antoaneta , Sion Alina , Stihi Claudia , Gheboianu Anca Irina , Basliu Vasile , Ceoromila Alina Mihaela , Gosav Steluta
Published: November 2024

The aim of the present study was to evaluate the contamination state of the surface soil from 10 parks from Galati, Romania, and the health hazards of the soil. The soil samples, collected in each site from the playing ground and from the edge of the park, were analyzed by using combined Wavelength- (WDXRF) and Energy-Dispersive (EDXRF) X-ray fluorescence techniques. A total number of 27 chemical elements (Ag, Al, As, Ba, Ca, Cd, Cr, Co, Cu, Fe, Hg, K, Mg, Mn, Na, Ni, P, Pb, Rb, Sb, Sc, Sn, Sr, Ti, V, Zn and Zr) were quantified in the urban soils, and the results were compared to the normal and alert values from Romanian legislation for toxic trace elements, as well as with European and world average values of element concentrations. The mineralogical analyses were performed by Scanning Electron Microscopy with Energy-Dispersive X-ray Analysis (SEM-EDX) and the Attenuated Total Reflectance–Fourier Transform Infrared technique (ATR-FTIR). To assess the soil contamination and the impact on human health of the presence of potential toxic elements and heavy metals in the soil, a series of pollution and health risk indices were used. All the results indicated an unpolluted to moderately polluted soil. The soil samples collected from the edge of the parks presented higher values for the specific pollutants, which originated from heavy traffic, such as Cu, Cr, Zn and Pb. The non-carcinogenic and carcinogenic risk to children was assessed using estimated daily intake (EDI) in relation to the pathways whereby pollutants can enter the human body, such as ingestion, dermal contact, inhalation and vaporization. Using the obtained values for EDI, the hazard quotient and hazard index were determined, which strengthen the formerly issued presumption that soil pollution is moderate and, by itself, does not present any threat to children’s health.
The “Invisible” Side of Yellow Coffins—The Set of the Chantress of Amun Tanethereret in the Musée du Louvre and Some Considerations on the Production of Yellow Coffins in the First Half of the 21st Dynasty
Authors: Mainieri Stefania
Published: November 2024

Through the coffin set of Tanethereret—dated to the first half of the 21st Dynasty—this article aims to underline the importance of analysing the masks and human features of ancient Egyptian yellow coffins and their value in disclosing new and important information about the Third Intermediate Period society. By moving between different visualisations, overlapping layers, measuring, and comparing, the sculpted human forms can be, for example, further indices of the quality of the production/”workshop”/artist and of the socio-economic power of the client. The possibility of making a three-piece set—coherent not only in decoration but also in form—suggests the existence of workshops capable of producing high-quality coffins and, consequently, that some people could still economically afford such coffin sets. Gaining access to such “workshops” and this type of production may indeed represent a further attempt to “manufacture social power” for the middle or high elites. Moreover, this specific case study also shows the dynamism of ancient Egyptian artistic production in a period of crisis, with artists able not only to re-adapt and re-commodify an ancient object but also to create possible new compositions with a balanced mix of styles between tradition and innovation. The study of this “invisible” part of the yellow coffins thus represents a new way of reconstructing the history of the people “hidden behind” the yellow coffins and the socio-economic sphere of ancient Egyptian society in the Third Intermediate Period, manifested through the resulting art and material culture.
Prediction of Hydrogen Production from Solid Oxide Electrolytic Cells Based on ANN and SVM Machine Learning Methods
Authors: Chen Ke , Li Youran , Chen Jie , Li Minyang , Song Qing , Huang Yushui , Wu Xiaolong , Xu Yuanwu , Li Xi
Published: November 2024

In recent years, the application of machine learning methods has become increasingly common in atmospheric science, particularly in modeling and predicting processes that impact air quality. This study focuses on predicting hydrogen production from solid oxide electrolytic cells (SOECs), a technology with significant potential for reducing greenhouse gas emissions and improving air quality. We developed two models using artificial neural networks (ANNs) and support vector machine (SVM) to predict hydrogen production. The input variables are current, voltage, communication delay time, and real-time measured hydrogen production, while the output variable is hydrogen production at the next sampling time. Both models address the critical issue of production hysteresis. Using 50 h of SOEC system data, we evaluated the effectiveness of the ANN and SVM methods, incorporating hydrogen production time as an input variable. The results show that the ANN model is superior to the SVM model in terms of hydrogen production prediction performance. Specifically, the ANN model shows strong predictive performance at a communication delay time ε = 0.01–0.02 h, with RMSE = 2.59 × 10−2, MAPE = 33.34 × 10−2%, MAE = 1.70 × 10−2 Nm3/h, and R2 = 99.76 × 10−2. At delay time ε = 0.03 h, the ANN model yields RMSE = 2.74 × 10−2 Nm3/h, MAPE = 34.43 × 10−2%, MAE = 1.73 × 10−2 Nm3/h, and R2 = 99.73 × 10−2. Using the SVM model, the prediction error values at delay time ε = 0.01–0.02 h are RMSE = 2.70 × 10−2 Nm3/h, MAPE = 44.01 × 10−2%, MAE = 2.24 × 10−2 Nm3/h, and R2 = 99.74 × 10−2, while at delay time ε = 0.03 h they become RMSE = 2.67 × 10−2 Nm3/h, MAPE = 43.44 × 10−2%, MAE = 2.11 × 10−2 Nm3/h, and R2 = 99.75 × 10−2. With this precision, the ANN model for SOEC hydrogen production prediction has positive implications for air pollution control strategies and the development of cleaner energy technologies, contributing to overall improvements in air quality and the reduction of atmospheric pollutants.
CO2 Footprint of Kiwi Fruits Deduced from Field Measurements and Cultivation Energy Data
Authors: Kryona Zoi-Panagiota , Tsalidis Georgios-Archimidis , Loupa Glykeria , Rapsomanikis Spyridon
Published: November 2024

The unequivocal understanding of the planetary-global climate change has rendered the apportionment of sources and sinks of greenhouse gases in the terrestrial domain, an urgent priority. In the present study, the micrometeorological method of “dynamic gradient fluxes” coupled with the Monin–Obukhov similarity theory, was utilised for the determination of net ecosystem exchange of carbon dioxide (CO2) from a kiwi plantation. This annual net exchange, in conjunction with the energy and fertiliser equivalent CO2 used, established the CO2 footprint of the produce. For the year 2023, the CO2 Net Ecosystem Exchange (NEE) is −16.20 tonnes per hectare per year (CO2 uptake by the plantation). The cultivation processes used throughout the year consumed +2.96 tonnes per hectare per year, and after deduction of this value from the NEE, the result is in a net CO2 sink for the kiwi plantation of −13.24 tonnes per hectare per year. It is hence obvious that, under these conditions, the kiwi plantations in Greece can be net CO2 sinks. This result is of increasing importance since the country is the fourth largest producer of kiwi globally, with production increasing in later years.
A Comparison of Battery Equivalent Circuit Model Parameter Extraction Approaches Based on Electrochemical Impedance Spectroscopy
Authors: Wu Yuchao , Balasingam Balakumar
Published: November 2024

This paper presents three approaches to estimating the battery parameters of the electrical equivalent circuit model (ECM) based on electrochemical impedance spectroscopy (EIS); these approaches are referred to as (a) least squares (LS), (b) exhaustive search (ES), and (c) nonlinear least squares (NLS). The ES approach is assisted by the LS method for the rough determination of the lower and upper bound of the ECM parameters, and the NLS approach is incorporated with the Monte Carlo run such that different initial guesses can be assigned to improve the goodness of EIS fitting. The proposed approaches are validated using both simulated and real EIS data. Compared to the LS approach, the ES and NLS approaches show better fitting accuracy at various noise levels, whereas in both the validation using simulated EIS data and actual EIS data collected from LG 18650 and Molicel 21700 batteries, the NLS approach shows better fitting accuracy than that of LS and ES approaches. In all cases, compared with the ES approach, the computational time of the NLS approach is significantly faster, and compared with the LS approach, the NLS approach shows a minimal difference in computational time and considerably better fitting performance.
A Comparative Study on Detection and Recognition of Nonuniform License Plates
Authors: Arshid Mehak , Azam Muhammad Raees , Mahmood Zahid
Published: November 2024

This paper presents a comparative study on license plate detection and recognition algorithms in unconstrained environments, which include varying illuminations, nonstandard plate templates, and different English language fonts. A prime objective of this study is to assess how well these models handle such challenges. These problems are common in developing countries like Pakistan where diverse license plates, styles, and abrupt changes in illuminations make license plates detection and recognition a challenging task. To analyze the license plate detection problem Faster-RCNN and end-to-end (E2E) methods are implemented. For the license plate recognition task, deep neural network and the CA-CenterNet-based methods are compared. Detailed simulations were performed on authors’ own collected dataset of Pakistani license plates, which contains substantially different multi-styled license plates. Our study concludes that, for the task of license plate detection, Faster-RCNN yields a detection accuracy of 98.35%, while the E2E method delivers 98.48% accuracy. Both detection algorithms yielded a mean detection accuracy of 98.41%. For license plate recognition task, the DNN-based method yielded a recognition accuracy of 98.90%, while the CA-CenterNet-based method delivered a high accuracy of 98.96%. In addition, a detailed computational complexity comparison on various image resolutions revealed that E2E and the CA-CenterNet are more efficient than their counterparts during detection and recognition tasks, respectively.
Connections Between Endoplasmic Reticulum Stress and Prognosis of Hepatocarcinoma
Authors: Wu Ming , Yan Jinxing , Qin Shimei , Fu Lei , Sun Shibin , Li Wan , Lv Junjie , Chen Lina
Published: November 2024

Endoplasmic reticulum (ER) stress is a state in which misfolded or unfolded proteins accumulate in the lumen of the ER as a result of some exogenous or endogenous factors. It plays a crucial role in the pathogenesis of malignancies, affecting cell survival, proliferation, and metastasis in cancer. ER stress genes could provide new ideas for potential therapeutic targets in cancer. In our study, we aimed to construct an ER stress-related genes (ERGs) model for hepatocellular carcinoma (HCC). ERGs with differential expression and significant survival were screened to construct a prognostic model. The effectiveness of the model was successfully validated by external datasets. High and low-risk groups were classified based on risk scores. Functional analysis showed risk groups involved in the unfolded protein response, DNA repair, and other differential pathways. When compared to patients with low risk, the prognosis for HCC patients in the high-risk group might be worsened by disruptions in these pathways. Importantly, we considered genomic druggability and predicted drugs. Sorafenib-induced autophagy in HCC cells through an ES stress mechanism. Sorafenib was more sensitive for high-risk patients. In brief, our model predicted the prognosis of HCC and provided novel treatment strategies for the study of other cancers.
Antagonistic Effects of Actin-Specific Toxins on Salmonella Typhimurium Invasion into Mammalian Cells
Authors: Heisler David B. , Kudryashova Elena , Hitt Regan , Williams Blake , Dziejman Michelle , Gunn John , Kudryashov Dmitri S.
Published: November 2024

Competition between bacterial species is a major factor shaping microbial communities. It is possible but remains largely unexplored that competition between bacterial pathogens can be mediated through antagonistic effects of bacterial effector proteins on host systems, particularly the actin cytoskeleton. Using Salmonella Typhimurium invasion into cells as a model, we demonstrate that invasion is inhibited if the host actin cytoskeleton is disturbed by actin-specific toxins, namely, Vibrio cholerae MARTX actin crosslinking (ACD) and Rho GTPase inactivation (RID) domains, Photorhabdus luminescens TccC3, and Salmonella’s own SpvB. We noticed that ACD, being an effective inhibitor of tandem G-actin-binding assembly factors, is likely to inhibit the activity of another Vibrio effector, VopF. In reconstituted actin polymerization assays and by live-cell microscopy, we confirmed that ACD potently halted the actin nucleation and pointed-end elongation activities of VopF, revealing competition between these two V. cholerae effectors. These results suggest that bacterial effectors from different species that target the same host machinery or proteins may represent an effective but largely overlooked mechanism of indirect bacterial competition in host-associated microbial communities. Whether the proposed inhibition mechanism involves the actin cytoskeleton or other host cell compartments, such inhibition deserves investigation and may contribute to a documented scarcity of human enteric co-infections by different pathogenic bacteria.
Investigating MerR’s Selectivity: The Crosstalk Between Cadmium and Copper Under Elevated Stress Conditions
Authors: Steunou Anne Soisig , Durand Anne , Liotenberg Sylviane , Bourbon Marie-Line , Ouchane Soufian
Published: November 2024

Bacteria respond to metal pollution through sensors that control the uptake and the detoxification machineries. Specificity in metal recognition is therefore a prerequisite for triggering the appropriate response, particularly when facing a mixture of metals. In response to Cu+, the purple bacterium Rubrivivax gelatinosus induces the efflux Cu+-ATPase CopA by the Cu+ regulator CopR. However, genetic analyses have suggested the presence of additional regulators. Here, we show that CadR, the Cd2+ sensor, is involved in Cd2+ and Cu+ tolerance and demonstrate that CopR and CadR share common target genes. Interestingly, expression of the Cu+ detoxification and efflux (CopI/CopA) system was induced by Cd2+ and downregulated in the double mutant copRcadR−. This double mutant was more sensitive to low Cu+ concentration than the single copR− mutant, and accumulation of coproporphyrin III pointed to a significantly decreased expression of CopA. Furthermore, analyses of Cd2+ toxicity in the cadR− mutant suggested that although CopR is Cu+ selective, CopR is involved in Cd2+ response since the addition of Cu+ alleviates Cd2+ toxicity. Based on our current knowledge of metal transport across the inner membrane, Cd2+ and Cu+ do not share common efflux routes nor do they share common regulators. Nevertheless, the crosstalk between Cd2+ and Cu+ tolerance systems is demonstrated in the present study. The modulation of Cu+ detoxification by a Cd2+ regulator in vivo places emphasis on the relaxed selectivity, under elevated metal concentration, in MerR regulators.
Preparation and Antibacterial Properties of Poly (l-Lactic Acid)-Oriented Microporous Materials
Authors: Li Yihong , Feng Yanjun , Huang Qingyi , Luo Cenyi , Chen Wei , Li Zhengqiu , Liu Lei , Li Jiafeng
Published: November 2024

In this manuscript, an efficient self-reinforcing technology—solid hot drawing (SHD) technology—was combined with green processing supercritical carbon dioxide (SC-CO2) foaming technology to promote poly (l-lactic acid) (PLLA) to form an oriented micropore structure. In addition, Polydimethylsiloxane (PDMS), with a high affinity of CO2 and biological safety, was introduced to enhance the nucleation effect in SC-CO2 foaming and co-regulate the uniformity of oriented micropores’ structure. The results showed that orientation induced PLLA crystallization, so the tensile strength was improved; the maximum tensile strength of the oriented micropores’ PLLA reached 151.2 MPa. Furthermore, the micropores mainly improved the toughness; the maximum elongation at break reached 148.3%. It is worth mentioning that PDMS can form an antibacterial film on the surface of the material, so that the material has a continuous antibacterial effect.
Evaluation of the Efficacy of a Full-Spectrum Low-THC Cannabis Plant Extract Using In Vitro Models of Inflammation and Excitotoxicity
Authors: Ross-Munro Emily , Isikgel Esra , Fleiss Bobbi
Published: November 2024

Evidence has accumulated that Cannabis-derived compounds have the potential to treat neuroinflammatory changes present in neurodevelopmental conditions such as autism spectrum disorder. However, research is needed on the specific brain health benefits of strains of whole Cannabis extract that are ready for commercial production. Here, we explore the anti-inflammatory and neuroprotective effects of NTI-164, a genetically unique high-cannabidiol (CBD), low-Δ9-tetrahydrocannabinol extract, and also CBD alone on BV-2 microglia and SHSY-5Y neurons. Inflammation-induced up-regulation of microglial inflammatory markers was significantly attenuated by NTI-164, but not by CBD. NTI-164 promoted undifferentiated neuron proliferation and differentiated neuron survival under excitotoxic conditions. These effects suggest the potential for NTI-164 as a treatment for neuropathologies.
Effects of Continuous Positive Airway Pressure Treatment on Vascular Function in a Real-Life Cohort of Elderly Patients with Obstructive Sleep Apnoea Syndrome
Authors: Volpentesta Mara , Condoleo Valentino , Panza Alberto , Severini Giandomenico , Soraci Luca , Rotondo Cataldo , Armentaro Giuseppe , Pelaia Corrado , Fiorentino Vanessa Teresa , Andreozzi Francesco , Sesti Giorgio , Corsonello Andrea , Sciacqua Angela
Published: November 2024

Background: Obstructive sleep apnoea syndrome (OSAS) is an independent risk factor for cardiovascular morbidity and mortality and has a detrimental effect on vascular function, in particular on arterial stiffness and endothelial function. Continuous positive airway pressure (CPAP) is the gold-standard therapy for OSAS and its effects on arterial stiffness and endothelial function have been demonstrated in non-elderly patients. Objectives: The objective of this study was to evaluate the effect of one year of CPAP treatment on arterial stiffness, through assessment of carotid–femoral pulse wave velocity (cf-PWV), and on endothelial function, through the reactive hyperaemia index (RHi), in a real-life cohort of elderly patients with moderate-to-severe OSAS and several comorbidities. Methods: In this nonrandomised prospective study, we enrolled 469 consecutive elderly patients affected by moderate-to-severe OSAS distributed in two groups: CPAP-treated (n = 225) and untreated patients (n = 244). Results: At one-year follow-up, in the treated group emerged an important improvement in poligraphics (AHI, ODI, TC90, mean SpO2%), laboratory (HOMA index, eGFR, hs-CRP) and vascular function parameters: cf-PWV. The stepwise multivariate linear regression demonstrated a significant correlation between the delta of the polygraph parameters and the delta of PWV and RHi. Conclusions: Our study confirmed the favourable effects of CPAP therapy in a cohort of elderly patients affected by OSAS and several comorbidities on sleep respiratory parameters and vascular function; early diagnosis and treatment with CPAP might be beneficial to delay or prevent the occurrence of cardiovascular events in these groups of patients.
Retinal Microvascular Changes in Association with Endothelial Glycocalyx Damage and Arterial Stiffness in Patients with Retinal Vein Occlusion: A Cross-Sectional Study
Authors: Pappelis Konstantinos , Risi-Koziona Alexia , Agapitou Chrysa , Korakas Emmanouil , Thymis John , Pavlidis George , Lampsas Stamatios , Kountouri Aikaterini , Pliouta Loukia , Georgalas Ilias , Theodossiadis Panagiotis , Lambadiari Vaia , Ikonomidis Ignatios , Chatziralli Irini
Published: November 2024

Background/Objectives: To investigate the potential association between the endothelial dysfunction and arterial stiffness with retinal changes observed through optical coherence tomography (OCT) and OCT-angiography (OCT-A) in patients with retinal vein occlusion (RVO). Methods: Participants in this cross-sectional study were 28 patients with RVO. The demographic and clinical characteristics of all participants were recorded. Comprehensive ophthalmologic examinations were performed, including fundus photography, OCT and OCT-A. Endothelial dysfunction was assessed by measuring the endothelial glycocalyx thickness via the perfused boundary region (PBR5-25). Arterial stiffness was evaluated by measuring the carotid-femoral pulse wave velocity (PWV), the central systolic and diastolic blood pressures (cSBP and cDBP) and the augmentation index (Aix). For each ophthalmological outcome, we generated a saturated linear regression model with demographic and systemic vascular parameters serving as independent variables. Regression coefficients with the corresponding 95% confidence intervals (CIs) were reported. A p value < 0.05 was considered as statistically significant. Results: A 1 m/s increase in PWV was associated with a 0.6% reduction in inferior macular vessel density (VD) (p = 0.050). A 10 mmHg increase in cSBP was associated with a 0.03 mm2 increase in foveal avascular zone (FAZ) area (p = 0.033). A 1% increase in Aix was associated with a 0.005 mm2 increase in FAZ area (p = 0.008). A 1 μm increase in PBR5-25 was associated, on average, with a 4.4% decrease in superior peripapillary VD (p = 0.027). Conclusions: In patients with RVO, structural and microvascular retinal parameters were significantly associated with markers of endothelial dysfunction and arterial stiffness.
Spondylodiscitis and Its Mimickers: A Pictorial Review
Authors: Piccolo Claudia Lucia , Villanacci Alberta , Di Stefano Federica , Fusco Nicoletta , Donno Davide Roberto , Cristofaro Massimo , Taglietti Fabrizio , Ianniello Stefania
Published: November 2024

Spondylodiscitis is an infection of the intervertebral disc, the adjacent vertebral body, and/or contiguous structures due to the introduction of infectious agent, usually by the hematogenous route. Imaging is crucial in assessing bacterial and tubercular spondylodiscitis, as well as their associated complications. Magnetic resonance imaging in particular can clearly depict osteo-structural changes in the vertebral body and the associated disc, as well as any soft-tissue complications, such as paravertebral abscess and/or epidural abscess, improving disease characterization and helping to recognize the agent involved. Nevertheless, other non-infectious diseases may mimic imaging appearances of spondylodiscitis and one should be aware of these conditions when interpreting MR images, which include Modic type I degenerative changes, ankylosing spondylitis, acute Schmorl’s node, porotic fractures, and spinal neuropathy arthropathy. This pictorial review aims at describing imaging findings of bacterial and non-bacterial spondylodiscitis, complications, and those pathologies that mimic these infections.
Biosafety Evaluation of a Chimeric Adenoviral Vector in Mini-Pigs: Insights into Immune Tolerance and Gene Therapy Potential
Authors: Izmailov Andrei , Minyazeva Irina , Markosyan Vage , Safiullov Zufar , Gazizov Ilnaz , Salafutdinov Ilnur , Markelova Maria , Garifulin Ravil , Shmarov Maksim , Logunov Denis , Islamov Rustem , Pospelov Vadim
Published: November 2024

Background: The biosafety of gene therapy products remains a major challenge to their introduction into the clinic. In particular, the problem of immunogenicity of viral vectors is the focus of attention. Large animals such as pigs, whose anatomical and physiological characteristics are similar to those of humans, have an advantage in testing vector systems. Methods: We performed a comprehensive in vitro and in vivo study to evaluate the biosafety of a chimeric adenoviral vector carrying a green fluorescent protein gene (Ad5/35F-GFP) in a mini-pig model. Results: Transcriptome and secretome analyses of mini-pig leucocytes transduced with Ad5/35F-GFP revealed changes restraining pro-inflammatory processes and cytokine production. No adverse effects were revealed through the clinical, instrumental, laboratory, and histological examinations conducted within a week after the direct or autologous leucocyte-mediated administration of Ad5/35F-GFP to mini-pigs. The decrease in cytokine levels in the blood of experimental animals is also consistent with the in vitro data and confirms the immune tolerance of mini-pigs to Ad5/35F-GFP. Conclusions: Here, we show the safety of Ad5/35F in a mini-pig model and provide evidence that Ad5/35F is a promising vector for gene therapy. These results advance our understanding of vector–host interactions and offer a solid foundation for the clinical application of this vector.