bluuebunny/crossref_metadata_2025 huggingface dataset:
Road Passenger Load Probability Prediction and Path Optimization Based on Taxi Trajectory Big Data
Authors: Gu Guobin , Lou Benxiao , Zhou Dan , Wang Xiang , Chen Jianqiu , Wang Tao , Xiong Huan , Liu Yinong
Published: September 2024

This paper focuses on predicting road passenger probability and optimizing taxi driving routes based on trajectory big data. By utilizing clustering algorithms to identify key passenger points, a method for calculating and predicting road passenger probability is proposed. This method calculates the passenger probability for each road segment during different time periods and uses a BiLSTM neural network for prediction. A passenger-seeking recommendation model is then constructed with the goal of maximizing passenger probability, and it is solved using the NSGA-II algorithm. Experiments are conducted on the Chengdu taxi trajectory dataset, using MSE as the metric for model prediction accuracy. The results show that the BiLSTM prediction model improves prediction accuracy by 9.67% compared to the BP neural network and by 6.45% compared to the LSTM neural network. The proposed taxi driver passenger-seeking route selection method increases the average passenger probability by 18.95% compared to common methods. The proposed passenger-seeking recommendation framework, which includes passenger probability prediction and route optimization, maximizes road passenger efficiency and holds significant academic and practical value.
Development of Functional Muffins with Fruits of the Chilean Forest (Calafate and Maqui) and Supplemented with Prebiotic Fiber
Authors: García-Milla Paula , Peñalver Rocío , Nieto Gema
Published: September 2024

Inadequate nutrient intake, coupled with increased oxidative stress, leads to an imbalance responsible for the current major diseases. Many foods have traditionally been used as traditional medicine, including native berries from southern Chile. Both Maqui and Calafate possess high antioxidant activity, which grants them medicinal power and makes them an excellent alternative for improving health. The aim of this study is to create a functional food with therapeutic properties capable of counteracting oxidative stress and thereby contributing to improving people’s health. To achieve this, a muffin with inulin, Maqui, and Calafate has been developed. The results show that the incorporation of inulin alone increases the fiber content and antioxidant capacity of the muffins; however, Maqui and Calafate contribute significantly more. Furthermore, contents of phenolic compounds are elevated, and an increase in the folic acid content is observed in the samples compared to the control. We can conclude that producing products with inulin, Maqui, and Calafate can be used to enhance the nutritional value and increase the antioxidant activity of bakery products, providing nutrients while also delivering unique characteristics in color, aroma, and flavor, making them appealing to consumers.
The Influence of Gas-Dynamic Non-Stationarity of Air Flow on the Heat Transfer Coefficient in Round and Triangular Straight Pipes with Different Turbulence Intensities
Authors: Plotnikov Leonid , Osipov Leonid
Published: September 2024

Unsteady gas-dynamic phenomena in pipelines of complex configuration are widespread in heat exchange and power equipment. Therefore, studying the heat transfer level of pulsating air flows in round and triangular pipes with different turbulence intensities is a relevant and significant task for the development of science and technology. The studies were conducted on a laboratory stand based on the thermal anemometry method and an automated system for collecting and processing experimental data. Rectilinear round and triangular pipes with identical cross-sectional areas were used in the work. Flow pulsations from 3 to 15.8 Hz were generated by means of a rotating flap. The turbulence intensity (TI) of the pulsating flows varied from 0.03 to 0.15 by installing stationary flat turbulators. The working medium was air with a temperature of 22 ± 1 °C moving at a speed from 5 to 75 m/s. It was established that the presence of gas-dynamic unsteadiness leads to an increase in the TI by 47–72% in a round pipe and by 36–86% in a triangular pipe. The presence of gas-dynamic unsteadiness causes a heat transfer intensification in a round pipe by 26–35.5% and by 24–36% in a triangular pipe. It was shown that a significant increase in the TI of pulsating flows leads to an increase in the heat transfer coefficient by 11–16% in a round pipe and a decrease in the heat transfer coefficient by 7–24% in a triangular pipe. The obtained results can be used in the design of heat exchangers and gas exchange systems in power machines, as well as in the creation of devices and apparatuses of pulse action.
Centralized vs. Decentralized Cloud Computing in Healthcare
Authors: Abughazalah Mona , Alsaggaf Wafaa , Saifuddin Shireen , Sarhan Shahenda
Published: September 2024

Healthcare is one of the industries that seeks to deliver medical services to patients on time. One of the issues it currently grapples with is real-time patient data exchange between various healthcare organizations. This challenge was solved by both centralized and decentralized cloud computing architecture solutions. In this paper, we review the current state of these two cloud computing architectures in the health sector with regard to the effect on the efficiency of Health Information Exchange (HIE) systems. Our study seeks to determine the relevance of these cloud computing approaches in assisting healthcare facilities in the decision-making process to adopt HIE systems. This paper considers the system performance, patient data privacy, and cost and identifies research directions in each of the architectures. This study shows that there are some benefits in both cloud architectures, but there are also some drawbacks. The prominent characteristic of centralized cloud computing is that all data and information are stored together at one location, known as a single data center. This offers many services, such as integration, effectiveness, simplicity, and rapid information access. However, it entails providing data privacy and confidentiality aspects because it will face the hazard of a single point of failure. On the other hand, decentralized cloud computing is built to safeguard data privacy and security whereby data are distributed to several nodes as a way of forming mini-data centers. This increases the system’s ability to cope with a node failure. Thus, continuity and less latency are achieved. Nevertheless, it poses integration issues because managing data from several sites could be a problem, and the costs of operating several data centers are higher and complex. This paper also pays attention to the differences in aspects like efficiency, capacity, and cost. This paper assists healthcare organizations in determining the most suitable cloud architecture strategy for deploying secure and effective HIE systems.
Recurrent and Concurrent Prediction of Longitudinal Progression of Stargardt Atrophy and Geographic Atrophy towards Comparative Performance on Optical Coherence Tomography as on Fundus Autofluorescence
Authors: Mishra Zubin , Wang Ziyuan Chris , Xu Emily , Xu Sophia , Majid Iyad , Sadda SriniVas R. , Hu Zhihong Jewel
Published: September 2024

Stargardt atrophy and geographic atrophy (GA) represent pivotal endpoints in FDA-approved clinical trials. Predicting atrophy progression is crucial for evaluating drug efficacy. Fundus autofluorescence (FAF), the standard 2D imaging modality in these trials, has limitations in patient comfort. In contrast, spectral-domain optical coherence tomography (SD-OCT), a 3D imaging modality, is more patient friendly but suffers from lower image quality. This study has two primary objectives: (1) develop an efficient predictive modeling for the generation of future FAF images and prediction of future Stargardt atrophic (as well as GA) regions and (2) develop an efficient predictive modeling with advanced 3D OCT features at ellipsoid zone (EZ) for the comparative performance in the generation of future enface EZ maps and prediction of future Stargardt atrophic regions on OCT as on FAF. To achieve these goals, we propose two deep neural networks (termed ReConNet and ReConNet-Ensemble) with recurrent learning units (long short-term memory, LSTM) integrating with a convolutional neural network (CNN) encoder–decoder architecture and concurrent learning units integrated by ensemble/multiple recurrent learning channels. The ReConNet, which incorporates LSTM connections with CNN, is developed for the first goal on longitudinal FAF. The ReConNet-Ensemble, which incorporates multiple recurrent learning channels based on enhanced EZ enface maps to capture higher-order inherent OCT EZ features, is developed for the second goal on longitudinal OCT. Using FAF images at months 0, 6, and 12 to predict atrophy at month 18, the ReConNet achieved mean (±standard deviation, SD) and median Dice coefficients of 0.895 (±0.086) and 0.922 for Stargardt atrophy and 0.864 (±0.113) and 0.893 for GA. Using SD-OCT images at months 0 and 6 to predict atrophy at month 12, the ReConNet-Ensemble achieved mean and median Dice coefficients of 0.882 (±0.101) and 0.906 for Stargardt atrophy. The prediction performance on OCT images is comparably good to that on FAF. These results underscore the potential of SD-OCT for efficient and practical assessment of atrophy progression in clinical trials and retina clinics, complementing or surpassing the widely used FAF imaging technique.
Comparison of Air Abrasion and Mechanical Decontamination for Managing Inflammatory Reactions around Dental Implants: A Systematic Review and Meta-Analysis
Authors: Jang Ki-Jung , Lyu Ahrim , Han Sung-Hoon , Kim Na Jin , Han Saet-Byeol , Song Hye-Jung , Park Won-Jong , Park Jun-Beom
Published: September 2024

Background: A number of mechanical decontamination methods have been proposed, however, there is no agreed-upon gold standard among them. This study aims to conduct a meta-analysis to assess the differences in the management of an inflammatory reaction around dental implants between air abrasion and mechanical decontamination. Methods: A comprehensive search strategy was employed, incorporating controlled vocabulary (MeSH) and free-text terms. This search was conducted by two reviewers to identify published systematic reviews. Three major electronic databases, namely, Medline via PubMed, the Cochrane database, and Embase, were searched up to May 2024. Results: Initially, 300 articles were identified. After conducting a comprehensive search and applying strict inclusion criteria, a total of 13 studies were deemed eligible for inclusion in the meta-analysis. The results showed that the mean difference in probing depth between air abrasion and other mechanical decontamination was 0.28 (95% confidence interval, −0.20 to 0.76). The mean difference in probing depth of air abrasion compared with other mechanical decontamination in maintenance purposes was 1.05 (95% confidence interval, 0.18 to 1.91). The mean difference in bleeding on probing between air abrasion and other mechanical decontamination was 0.51 (95% confidence interval, 0.07 to 0.95). The mean difference in alveolar bone loss between air abrasion and other mechanical decontamination was −0.14 (95% confidence interval, −0.77 to 0.48). The mean difference in alveolar bone loss for surgical approaches of air abrasion compared with other mechanical decontamination was 0.32 (95% confidence interval, 0.03 to 0.61). Conclusions: The findings of the study indicate that the use of air abrasion was just as effective as other mechanical decontamination methods in reducing probing depth and alveolar bone loss. The subgroup analysis showed that air abrasion was less effective in reducing probing depth in maintenance purposes. Additionally, air abrasion was less effective in reducing alveolar bone loss in surgical approaches.
A Specific Test of Starting Blocks: Intrasession and Intersession Reliability of Isometric Strength Using a Functional Electromechanical Dynamometer
Authors: Mula-Pérez Francisco , Manzano-Sánchez David , Chirosa-Ríos Luis J. , Chirosa-Ríos Ignacio J. , Rodríguez-Perea Ángela
Published: September 2024

Aims: To determine the intrasession and intersession reliability of the isometric force at three different starting block positions, to compare the intrasession and intersession reliability of the peak and average isometric force of three different starting block positions, and to compare the intrasession and intersession reliability of three different starting block positions. Methods: Eighteen male college students participated in this study. A repeated measures design was used to evaluate the intrasession and intersession reliability of isometric force in three different starting block positions. Results: Very high and extremely high reliability of the average and peak isometric force of the three positions of the starting blocks were obtained, with ICC ranging from 0.63 to 0.91 and a CV close to 10%. Peak force was able to determine the outcomes of the bilateral position with higher reliability than the mean force, and the dominant was the most reliable position for assessing the starting blocks. Conclusion: The functional electromechanical dynamometer can be used with a high level of reliability to assess the force exerted in the starting blocks.
Multidisciplinary Optimization of Aircraft Aerodynamics for Distributed Propulsion Configurations
Authors: Luo Shaojun , Eng Tian , Tang Zhili , Ma Qianrong , Su Jinyou , Bugeda Gabriel
Published: September 2024

The combination of different aerodynamic configurations and propulsion systems, namely, aero-propulsion, affects flight performance differently. These effects are closely related to multidisciplinary collaborative aspects (aerodynamic configuration, propulsion, energy, control systems, etc.) and determine the overall energy consumption of an aircraft. The potential benefits of distributed propulsion (DP) involve propulsive efficiency, energy-saving, and emissions reduction. In particular, wake filling is maximized when the trailing edge of a blended wing body (BWB) is fully covered by propulsion systems that employ boundary layer ingestion (BLI). Nonetheless, the thrust–drag imbalance that frequently arises at the trailing edge, excessive energy consumption, and flow distortions during propulsion remain unsolved challenges. These after-effects imply the complexity of DP systems in multidisciplinary optimization (MDO). To coordinate the different functions of the aero-propulsive configuration, the application of MDO is essential for intellectualized modulate layout, thrust manipulation, and energy efficiency. This paper presents the research challenges of ultra-high-dimensional optimization objectives and design variables in the current literature in aerodynamic configuration integrated DP. The benefits and defects of various coupled conditions and feasible proposals have been listed. Contemporary advanced energy systems, propulsion control, and influential technologies that are energy-saving are discussed. Based on the proposed technical benchmarks and the algorithm of MDO, the propulsive configuration that might affect energy efficiency is summarized. Moreover, suggestions are drawn for forthcoming exploitation and studies.
The Process Optimization Analysis of CBN Abrasive Cu-Sn-Ti Coating Fabrication via the Ultrasonic-Vibration-Assisted Laser Cladding Method
Authors: Li Juncai , Ma Mingze , Yu Tianbiao , Li Ming , Zhao Ji
Published: September 2024

Ultra-precision machining has higher requirements for the performance of abrasive tools, but the traditional grinding wheel has some problems such as irregular grain arrangement, limited chip space, and high grinding temperature. Therefore, a structured grinding wheel suitable for ultra-precision machining is proposed. In this study, the laser cladding method and ultrasonic vibration technology were combined to study the preparation process of a structured grinding wheel. Firstly, the quality evaluation system of the printing layer was established, and the shape coefficient and dilution rate were used to evaluate the laser cladding quality. The effects of laser power, sweep speed, powder feeding speed, and ultrasonic power on the shape coefficient and dilution rate of the printing layer were analyzed by single-factor experiments. The level range of each factor in the orthogonal experiment was established to optimize the process parameters. The surface morphology was observed, and the influence of ultrasonic vibration on the morphology was analyzed. The structured grinding wheel was prepared according to the optimized parameters.
Machine Reading Comprehension Model Based on Fusion of Mixed Attention
Authors: Wang Yanfeng , Ma Ning , Guo Zechen
Published: September 2024

To address the problems of the insufficient semantic fusion between text and questions and the lack of consideration of global semantic information encountered in machine reading comprehension models, we proposed a machine reading comprehension model called BERT_hybrid based on the BERT and hybrid attention mechanism. In this model, BERT is utilized to separately map the text and questions into the feature space. Through the integration of Bi-LSTM, an attention mechanism, and a self-attention mechanism, the proposed model achieves a comprehensive semantic fusion between text and questions. The probability distribution of answers is computed using Softmax. The experimental results on the public dataset DuReader demonstrate that the proposed model achieves improvements in BLEU-4 and ROUGE-L scores compared to existing models. Furthermore, to validate the effectiveness of the proposed model design, we analyze the factors influencing the model’s performance.
Efficacy, Tolerability, and Face Lipidomic Modification of New Regimen with Cleanser and Corrective Serum in Women with Acne-Prone Skin
Authors: Vitale Maria , Gómez-Sánchez María José , Vicente Mencía Hermosa , Colombo Francesca , Milani Massimo
Published: September 2024

Acne-prone skin is a common condition in adult women, and skin imperfections could affect quality of life and self-esteem. This study aimed to investigate the efficacy of a cosmetic combination regimen for face care (a cleanser gel and a serum containing niacinamide, retinol, and alpha hydroxy acids). A total of 20 women with acne-prone mixed or oily skin were enrolled in a prospective 42-day trial. Sebum content, skin radiance, skin profilometry, and evaluation of face area occupied by pores were evaluated at baseline and after 14, 28, and 42 days. In addition, a face lipidomic evaluation was performed at baseline and after 42 days. Finally, self-assessment questionnaires at each visit checkpoint were performed to evaluate efficacy and tolerability of the tested products. All the subjects but one concluded the study. Both products were very well tolerated and 84% of the subjects reported a global clinical improvement. Skin sebum content was significantly (p < 0.05) reduced at each of the evaluation time points (−9.9% at day 14, −19.4% at day 28, and −23.7% at day 42). The tested regimen significantly decreased the gloss parameter (mattifying effect) at day 14, 28, and 42, with a maximum reduction of 7.2% at the end of the study period. The pores area demonstrated a significant reduction at each of the checkpoint evaluations in comparison with baseline. Inflammatory and non-inflammatory lesions were significantly reduced by 16% at day 28 and day 42 (p < 0.01). Lipidomic analysis demonstrated that this cosmetic face care regimen induced significant and positive effects in face sebum lipids composition, characterized by a significant increase in ceramides and triacylglycerols and a decrease in fatty acids and oxidized fatty acids.
Sustainable Support Material for Overhang Printing in 3D Concrete Printing Technology
Authors: Ting Guan Heng Andrew , Tay Yi Wei Daniel , Quah Tan Kai Noel , Tan Ming Jen , Wong Teck Neng
Published: September 2024

The advantage of 3DCP technologies is the ability to fabricate free-form structures. However, printing openings in concrete structures are limited by the presence of overhanging sections. While various 3D printing and additive manufacturing technologies have established methods for handling overhangs with temporary supports, many existing techniques for 3D concrete printing still rely on wooden planks and corbelling, which restrict the design flexibility and slope angles. The objective of this study is to develop a removable and sustainable support material with high printability performance. This support material serves as temporary support for overhang sections in 3D-printed structures and can be removed once the primary concrete has hardened sufficiently. This study observed that increasing the recycled glass content in the mixture raises both the dynamic and static yield stresses, with only mixtures containing up to 60% recycled glass remaining pumpable. Optimization of the mixture design aimed to balance high flowability and buildability, and the results indicated that a mixture with 60% recycled glass content is optimal. The effectiveness of the optimized support material was validated through the successful printing of a structure featuring a free-form opening and overhang section.
Round-Trip Time Ranging to Wi-Fi Access Points Beats GNSS Localization
Authors: Horn Berthold K. P.
Published: September 2024

Wi-Fi round-trip time (RTT) ranging has proven successful in indoor localization. Here, it is shown to be useful outdoors as well—and more accurate than smartphone code-based GNSS when used near buildings with Wi-Fi access points (APs). A Bayesian grid with observation and transition models is used to update a probability distribution of the position of the user equipment (UE). The expected value (or the mode) of this probability distribution provides an estimate of the UE location. Localization of the UE using RTT ranging depends on knowing the locations of the Wi-Fi APs. Determining these positions from floor plans can be time-consuming, particularly when the APs may not be accessible (as is often the case in order to prevent unauthorized access to the network). An alternative is to invert the Bayesian grid method for locating the UE—which uses distance measurements from the UE to several APs with known position. In the inverted method we instead locate the AP using distance measurements from several known positions of the UE. In localization using RTT, at any given time, a decision has to be made as to which APs to range to, given that there is a cost associated with each “range probe” and that some APs may not respond. This can be problematic when the APs are not uniformly distributed. Without a suitable ranging strategy, one can enter a dead-end state where there is no response from any of the APs currently being ranged to. This is a particular concern when there are local clusters of APs that may “capture” the attention of the RTT app. To avoid this, a strategy is developed here that takes into account distance, signal strength, time since last “seen”, and the distribution of the directions to APs from the UE—plus a random contribution. We demonstrate the method in a situation where there are no line-of-sight (LOS) connections and where the APs are inaccessible. The localization accuracy achieved exceeds that of the smartphone code-based GNSS.
PEEK Retainers without CAD-CAM: Simple Solutions for Everyday Challenges
Authors: Zecca Piero Antonio , Caccia Margherita , Siani Lea , Caprioglio Alberto , Fastuca Rosamaria
Published: September 2024

Background: The need to perform occasional or continuous MRI exams and the interference with metal orthodontic appliances might be important and take a primary role during retention since the retention period is significantly longer than orthodontic treatment. Several non-metallic materials were proposed as potential alternatives to perform fixed retainers in orthodontics, but they showed internal limits. Methods: Polyetheretherketone (PEEK) was used in the present clinical report as a fixed orthodontic retainer in the lower arch in order to perform an appliance with mechanical properties comparable to metallic ones but with a higher biocompatibility material and without the need for removal in case of an MRI exam. The retainer wire was handmade in the studio and then shaped to fit the arch. Results: PEEK showed a good capability for constructing a lingual fixed retainer compared to other aesthetic non-metallic and metallic materials. Conclusions: To the best of our knowledge, this study proposes how to easily build a retainer in PEEK and provides a clinical example of how this material can be beneficial.
Modeling Polymer Microencapsulation Processes Using CFD and Population Balance Models
Authors: Qizilbash Masooma , del Valle Luis J. , Guardo Zabaleta Alfredo
Published: September 2024

Computational fluid dynamics (CFD) modeling has emerged as a valuable tool for investigating complex processes like microencapsulation. This paper aims to validate the ability of CFD simulations to predict particle size distribution in a polymer microencapsulation process. The CFD modeling approach employed a Eulerian multiphase framework, incorporating a discrete population balance model to track the evolution of the droplet population. A realizable k-ε turbulence model and a multiple reference frame strategy were utilized to capture the system’s flow dynamics. The results reveal that while the CFD simulations align well with experimental data at higher agitation speeds (>10,000 rpm), discrepancies arise at lower speeds (<7500 rpm), indicating a challenge in accurately capturing turbulent viscous regimes. Despite these challenges, the CFD model demonstrates robust predictive capabilities for droplet formation and distribution in microencapsulation processes, validated by error margins within the acceptable limits. The validated model can be used as a reliable tool to guide experimental efforts and optimize process parameters, contributing to an enhanced understanding and control of microencapsulation processes.
Overview of the Research Status of Intelligent Water Conservancy Technology System
Authors: Li Qinghua , Ma Zifei , Li Jing , Li Wengang , Li Yang , Yang Juan
Published: September 2024

A digital twin is a new trend in the development of the current smart water conservancy industry. The main research content of intelligent water conservancy is clarified. This paper first summarizes and combs the relevant system architecture of smart water conservancy, and puts forward a smart water conservancy framework based on digital twins, highlighting the characteristics of virtual and real interaction, and symbiosis of the water conservancy twin platform. Secondly, the status quo of intelligent water conservancy “sky, air, ground and water” integrated monitoring technology, big data and artificial intelligence, model platform technology, knowledge graph and security technology is analyzed. From the perspective of application, the research progress of each technology in water security, water resources and hydraulic engineering is reviewed. Although the construction of smart water conservancy has made remarkable progress, it still faces many challenges such as data governance, technology integration and innovation, and standardization. In view of these challenges, this paper puts forward a series of countermeasures, and looks forward to the future development direction of intelligent water conservancy.
Beyond Traditional Metrics: Exploring the Potential of Hybrid Algorithms for Drought Characterization and Prediction in the Tromso Region, Norway
Authors: Oruc Sertac , Tugrul Turker , Hinis Mehmet Ali
Published: September 2024

Meteorological drought, defined as a decrease in the average amount of precipitation, is among the most insidious natural disasters. Not knowing when a drought will occur (its onset) makes it difficult to predict and monitor it. Scientists face significant challenges in accurately predicting and monitoring global droughts, despite using various machine learning techniques and drought indices developed in recent years. Optimization methods and hybrid models are being developed to overcome these challenges and create effective drought policies. In this study, drought analysis was conducted using The Standard Precipitation Index (SPI) with monthly precipitation data from 1920 to 2022 in the Tromsø region. Models with different input structures were created using the obtained SPI values. These models were then analyzed with The Adaptive Neuro-Fuzzy Inference System (ANFIS) by means of different optimization methods: The Particle Swarm Optimization (PSO), The Genetic Algorithm (GA), The Grey Wolf Optimization (GWO), and The Artificial Bee Colony (ABC), and PSO optimization of Support Vector Machine (SVM-PSO). Correlation coefficient (r), Root Mean Square Error (RMSE), Nash–Sutcliffe efficiency (NSE), and RMSE-Standard Deviation Ratio (RSR) served as performance evaluation criteria. The results of this study demonstrated that, while successful results were obtained in all commonly used algorithms except for ANFIS-GWO, the best performance values obtained using SPI12 input data were achieved with ANFIS-ABC-M04, exhibiting r: 0.9516, NSE: 0.9054, and RMSE: 0.3108.
Urban Vulnerability Assessment of Sea Level Rise in Singapore through the World Avatar
Authors: Phua Shin Zert , Lee Kok Foong , Tsai Yi-Kai , Ganguly Srishti , Yan Jingya , Mosbach Sebastian , Ng Trina , Moise Aurel , Horton Benjamin P. , Kraft Markus
Published: September 2024

This paper explores the application of The World Avatar (TWA) dynamic knowledge graph to connect isolated data and assess the impact of rising sea levels in Singapore. Current sea level rise vulnerability assessment tools are often regional, narrow in scope (e.g., economic or cultural aspects only), and are inadequate in representing complex non-geospatial data consistently. We apply TWA to conduct a multi-perspective impact assessment of sea level rise in Singapore, evaluating vulnerable buildings, road networks, land plots, cultural sites, and populations. We introduce OntoSeaLevel, an ontology to describe sea level rise scenarios, and its impact on broader elements defined in other ontologies such as buildings (OntoBuiltEnv ontology), road networks (OpenStreetMap ontology), and land plots (Ontoplot and Ontozoning ontology). We deploy computational agents to synthesise data from government, industry, and other publicly accessible sources, enriching buildings with metadata such as property usage, estimated construction cost, number of floors, and gross floor area. An agent is applied to identify and instantiate the impacted sites using OntoSeaLevel. These sites include vulnerable buildings, land plots, cultural sites, and populations at risk. We showcase these sea level rise vulnerable elements in a unified visualisation, demonstrating TWA’s potential as a planning tool against sea level rise through vulnerability assessment, resource allocation, and integrated spatial planning.
Inspiring Designers’ Innovative Thinking: An Evolutionary Design Method for Product Forms
Authors: Liu Shifeng , Su Jianning , Zhang Shutao , Qiu Kai , Wang Shijie
Published: September 2024

The product form serves as a crucial information carrier for expressing design concepts and encompasses significant valuable references. During the product iteration process, changes in design subjects, such as designers and decision-makers, result in substantial variability and uncertainty in the direction of product form evolution. To address these issues, an evolutionary design method for product forms based on the gray Markov model and an evolutionary algorithm is proposed in this study. Firstly, quadratic curvature entropy is utilized to quantify historical form features of product evolution. Subsequently, the original data on product form feature evolution are fitted and predicted using the gray Markov model, thereby obtaining the predicted value of the latest generation of product form features, which is determined to be 0.14586. Finally, this study uses this predicted value to construct a fitness function in the framework of an evolutionary algorithm, which in turn identifies next-generation product forms that can stimulate designers’ creative thinking. The method’s application is illustrated using the side outer contour of the Audi A4 automobile as an example. The research findings demonstrate that combining the gray Markov model with an evolutionary algorithm can effectively simulate designers’ understanding of previous generations’ design concepts and achieve stable inheritance of these design concepts during product iteration. This approach mitigates the risk of abrupt changes in design concepts caused by designers and decision-makers due to personal cognitive biases, thereby enhancing product development efficiency.
Tinnitus Prevalence, Associated Characteristics, and Treatment Patterns among Adults in Saudi Arabia
Authors: Alanazi Ahmad A.
Published: September 2024

Tinnitus affects millions of people around the world and causes significant negative impacts on their quality of life (QoL). Tinnitus is rarely examined in Saudi Arabia. This study aimed to estimate the prevalence of tinnitus among adults, explore their experience with tinnitus, investigate the impact of tinnitus on their QoL, and discover their tinnitus management methods. A descriptive cross-sectional study design was performed utilizing a non-probability purposive sampling technique and a face-to-face in-person administered questionnaire. Descriptive statistics and a chi-square test were used to assess the data and find any correlation between the variables. Out of 4860 adults, 320 (males: n = 172; females: n = 148; age range = 18–90 years) had tinnitus, mainly described as a daily, gradual, continuous, whistling, and ringing tinnitus in both ears. Tinnitus prevalence was estimated at 6.54% with a slight predominance in males (6.9%) compared with females (6.2%). Most of the participants were unaware of the cause of their tinnitus. The modal value of the severity of tinnitus signals was severe for both genders. The modal value of the impact of tinnitus on the QoL was moderate for males and severe for females. Sleep, social activities, quiet settings, and concentration were largely affected by tinnitus. Significant associations (p < 0.05) between the impact of tinnitus on the QoL and risk factors, such as gender, age, hearing loss, and hyperacusis were determined. Also, the impact of tinnitus on the QoL was significantly associated (p < 0.05) with the duration of complaints and the severity of tinnitus signals. Approximately, 61% of the participants did not use any tinnitus treatment, while the remaining participants usually used hearing aids, medications, and counseling to manage their tinnitus. By increasing awareness, establishing standard practice, developing guidelines for managing tinnitus, expanding access to suitable interventions, and carrying out additional research, adults living with tinnitus in Saudi Arabia will have better support and, ultimately, an enhancement of their overall well-being.
Innovative Craft Beers Added with Purple Grape Pomace: Exploring Technological, Sensory, and Bioactive Characteristics
Authors: Luz Barbara Ribeiro Teixeira , da Silva Cristiane Nunes , Hercos Guilherme de Freitas de Lima , Ribeiro Bernardo Dias , Egea Mariana Buranelo , Lemes Ailton Cesar
Published: September 2024

Purple grape juice produces a significant amount of grape pomace (GP) as a by-product, which can be reused as a raw material in producing craft beers with bioactive properties. The objective of this study was to produce craft beers with the addition of GP during the fermentation process to evaluate the incorporation of bioactive compounds, aiming at using a by-product generated in the production of grape juice. Craft beer was produced, incorporating GP at concentrations of 1%, 5%, and 10% (w/w), and the physicochemical, technological, bioactive, and sensory properties were evaluated. The beers with the highest concentrations of GP (10% w/w) exhibited higher bioactive concentrations, including phenolic compounds (308 mg GAE/L), flavonoids (0.05 g of quercetin/L), anthocyanins (754.6 mg cyanidin-3-glucoside/L), and antioxidant capacities, as measured by DPPH (1878.2 µM Trolox/L), ABTS (4294.5 µM Trolox/L), and FRAP (844.7 mg ascorbic acid/L) methods. Adding GP promoted lower brightness (62.2) and intensified the a*, b*, and chroma parameters (18.0, 10.1, and 20.6, respectively), with the pigments of GP contributing to changes in the color parameters. However, increased sedimentation was observed under both conditions analyzed (4 °C and 25 °C), due to the higher presence of particulate matter from GP (3.4% and 3.7%, respectively). In general, for sensory analysis, while the knowledge of beneficial effects did not significantly change emotional responses, there were distinct emotional profiles associated with different beer samples. Utilizing GP for the bioactivation of beer is a positive approach to enhance its overall properties and an effective way to address issues related to the disposal of this by-product.
Effects of Pre-Fermentative Treatments with Non-Synthetic Ternary Component Fining Agents Based on Pea Protein on the Volatile Profiles of Aromatic Wines of Tămâioasă Românească
Authors: Antoce Oana Arina , Cojocaru George Adrian
Published: September 2024

To remove oxidizable polyphenolic compounds from wines, fining treatments with products of various origins are applied before or after fermentation. Seeking alternatives to the treatments with animal proteins or synthetic materials such as polyvinylpolypyrrolidone (PVPP), vegetal and mineral products are tested. One of these alternative agents is pea protein (P), which can be combined with chitosan (K), yeast cell walls (Y), active carbon (C), and/or Ca-bentonite (B). Aside from the proven polyphenol removal effect, these products can also have an impact on aroma. This research evaluates the effect of P and ternary combinations with P on the volatile compounds of aromatic wines from the Tămâioasă românească variety. Several variants of treatments with P and with ternary mixtures involving P were prepared in triplicate with a total dose of 20 g/hL of fining agent applied during the pre-fermentative phase. Volatile profiles were determined using a flash gas chromatograph with two short columns of different polarities. The chromatographic peak areas for the identified ethylic esters, acetates and terpenes were used to compare the fining treatment effects. To test the significant differences between experimental variants, the Analysis of Similarity (ANOSIM) was used. The influences of P used alone and PVPP used alone were both significantly different compared to control (untreated), but based on the dissimilarity index R, PVPP affected the volatile profile about twice as much as P, showing that pea protein is a good alternative for PVPP. The ethyl esters were especially reduced by PVPP, while P especially reduced the terpenes. From all the tested pea protein ternary agents, those containing bentonite (PCB and PYB) showed a significant reducing effect on all classes of compounds and therefore are not recommended. The combinations containing yeast cell walls, PCY and PKY, are the most interesting alternatives to both PVPP and P used independently, PCY being the least aggressive of all treatments on overall aroma, preserving well the aroma compounds of all determined classes, including terpenes.
From Organotypic Mouse Brain Slices to Human Alzheimer Plasma Biomarkers: A Focus on Microglia
Authors: Steiner Katharina , Yilmaz Sakir Necat , Gern Alessa , Marksteiner Josef , Faserl Klaus , Villunger Mathias , Sarg Bettina , Humpel Christian
Published: September 2024

Alzheimer’s disease is a severe neurodegenerative disorder, and the discovery of biomarkers is crucial for early diagnosis. While the analysis of biomarkers in cerebrospinal fluid is well accepted, there are currently no blood biomarkers available. Our research focuses on identifying novel plasma biomarkers for Alzheimer’s disease. To achieve this, we employed a technique that involves coupling human plasma to mouse organotypic brain slices via microcontact prints. After culturing for two weeks, we assessed Iba1-immunopositive microglia on these microcontact prints. We hypothesized that plasma from Alzheimer’s patients contains factors that affect microglial migration. Our data indicated that plasma from Alzheimer’s patients significantly inhibited the migration of round Iba1-immunoreactive microglia (13 ± 3, n = 24, p = 0.01) compared to healthy controls (50 ± 16, n = 23). Based on these findings, we selected the most promising plasma samples and conducted mass spectrometry using a differential approach, and we identified four potential biomarkers: mannose-binding protein C, macrophage receptor MARCO, complement factor H-related protein-3, and C-reactive protein. Our method represents a novel and innovative approach to translate research findings from mouse models to human applications.
Epigenetic Regulation of DNA Methylation and RNA Interference in Gastric Cancer: A 2024 Update
Authors: Lupan Iulia , Bintintan Vasile , Deleanu Diana , Samasca Gabriel
Published: September 2024

Gastric cancer (GC) remains a significant public health concern because of its lethality, underscoring the need for deeper insights into its molecular mechanisms. Recent studies have increasingly highlighted the role of epigenetic modifications as critical players in cancer progression. Despite their importance, research specifically addressing epigenetic factors in GC is relatively scarce. This paper seeks to bridge that gap by examining recent literature that elucidates the epigenetic landscape associated with GC. The investigation of long noncoding RNAs (lncRNAs) has revealed their substantial involvement in gene dysregulation and epigenetic alterations within GC tumors. Notably, lncRNAs such as LINC00853 and LINC01266 have been identified as significant contributors to the epigenetic modulation of gene expression. Furthermore, the overexpression of KAT5 and GPX4 has been shown to mitigate the antiproliferative effects resulting from the depletion of circRHOT1, suggesting a complex interplay between these molecules in GC pathophysiology. Another pivotal aspect of epigenetic regulation in GC involves modifications in N6-methyladenosine (m6A), which play crucial roles in mRNA maturation processes such as splicing, export, degradation, and translation. m6A modifications are known for their influence on various cancer-related pathways, thus presenting a potential avenue for targeted interventions. Our findings indicate that the most pronounced instances of epigenetic dysregulation in GC can be traced back to the effects of long lncRNAs and alterations in m6A modification patterns. This underscores the urgent need for comprehensive investigations into these epigenetic factors, as a deeper understanding could lead to enhanced diagnostic markers and innovative therapeutic strategies. The integration of genetic and epigenetic considerations is essential for advancing the field of GC research. This synthesis of recent findings concerning epigenetic regulation offers valuable insights that could inform future studies and therapeutic developments. There is a critical need for ongoing research to elucidate the complexities of epigenetic modifications in GC, ultimately improving patient outcomes through tailored interventions.
Glucose Variability in People with Type 1 Diabetes: Associations with Body Weight, Body Composition, and Insulin Sensitivity
Authors: Semenova Julia F. , Yushin Anton Yu. , Korbut Anton I. , Klimontov Vadim V.
Published: September 2024

The prevalence of overweight and obesity increases in people with type 1 diabetes (T1D). However, the impact of fat accumulation on glucose dynamics in T1D is poorly understood. We assessed continuous glucose monitoring (CGM) parameters in patients with T1D depending on their body weight, body composition, and insulin sensitivity. In 547 patients, including 238 overweight/obese individuals, CGM-derived time in range (TIR) and glucose variability (GV) were estimated. Body composition was assessed by DXA. Estimated glucose disposal rate (eGDR) was used as an indicator of insulin sensitivity. Overweight/obese patients, when compared to normal-weight ones, have a lower time below range (TBR) (<3 mmol/L), GV, and experienced fewer episodes of low glucose. In men, lower TIR, higher time above range (TAR), and GV reduction were associated with central adiposity assessed by total, trunk, and android fat mass. In women, gynoid fat mass only was associated with a lower TIR and higher TAR. The eGDR was a positive predictor of TIR and a negative predictor of TAR, TBR, and GV in men and women. In conclusion, adiposity in people with T1D is associated with a lower risk of CGM-confirmed hypoglycemia, higher TAR, and reduced GV. These features of daily glucose dynamics may be mediated by insulin resistance.
Efficacy of rTMS Combined with Cognitive and Language Training in People Living with Alzheimer’s Disease: A Systematic Review
Authors: Georgopoulou Eleni-Nefeli , Nousia Anastasia , Martzoukou Maria , Dimitriou Nefeli K. , Liampas Ioannis , Messinis Lambros , Nasios Grigorios
Published: September 2024

Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive brain stimulation method that has been suggested as a possible treatment method for cognitive impairment in patients with Alzheimer’s Disease (pwAD), similar to multidomain cognitive training (CT). The effectiveness, however, of combining these techniques for pwAD remains controversial due to the variability in rTMS parameters, differences in CT protocol designs—many of which neglect the language domain—and the inclusion of patients at various stages of Alzheimer’s Disease (AD) and with different types of dementia. The current review aims to evaluate the cognitive benefits of combining rTMS with CT, including language training, for individuals with mild to moderate AD. An extensive literature search was conducted in PubMed, Google Scholar, and the Cochrane Library with relevant terms, resulting in nine studies with a total of 290 participants [190 in the Active Group (AG) and 100 in the Control Group (CG)]. The comprehensive review of the articles revealed that the combined treatment improved global cognitive function, as well as neurocognitive, neuropsychiatric, and quality of life in the AG. Nevertheless, these results should be interpreted cautiously, given the relatively small number of existing studies on this specific combination.
Meta-Analysis of Collaborative Inhibition Moderation by Gender, Membership, Culture, and Memory Monitoring
Authors: Luo Xiaochun , Zhao Boyao , Tang Weihai , Xiao Qian , Liu Xiping
Published: September 2024

Collaborative inhibition is a counterintuitive phenomenon. While the specific mechanisms through which social factors influence collaborative inhibition remain unclear, this study aims to shed light on the impact of gender, relationships, and culture in order to better understand the factors shaping collaborative inhibition. A meta-analysis was conducted to analyze subgroups of social factors, including collaborative pairing, gender, membership, and culture, as well as cognitive factors like memory monitoring. Collaborative inhibition was found to be a robust effect (p < 0.01), with moderating effects of pairing on gender (p < 0.01), membership (p < 0.01), culture (p < 0.01), and memory monitoring (p < 0.01). The findings indicate that collaborative inhibition is a consistent phenomenon influenced by both social and cognitive factors. Moreover, the study discovered that memory monitoring can successfully moderate collaborative inhibition, although the underlying mechanism requires further investigation.