bluuebunny/crossref_metadata_2025 huggingface dataset:
Bioactivity Profiling and Phytochemical Analysis of Carissa carandas Extracts: Antioxidant, Anti-Inflammatory, and Anti-Urinary Tract Infection Properties
Authors: Saeed Wisha , Ismail Tariq , Qamar Muhammad , Esatbeyoglu Tuba
Published: August 2024

Carissa carandas L. (Apocynaceae) is widely distributed in tropical and subtropical regions of Asia including Pakistan, India, Afghanistan, and Sri Lanka. C. carandas is considered as an integral component of traditional medicinal systems to combat several health ailments. The present study aimed to assess this plant’s phytochemical contents and biological potential by performing sequential extraction, adopting a bioassay-guided approach. C. carandas powder was extracted with n-hexane to remove fatty substances and then residues were sequentially extracted with dichloromethane, methanol, and 50% methanol. All the sequential crude extracts were evaluated for phytochemical contents (total phenolics, flavonoids, and anthocyanins), in vitro antioxidant activity (FRAP, DPPH), in vitro anti-inflammatory activity (serum and egg albumin denaturation), in vivo anti-inflammatory activity (carrageenan- and formaldehyde-induced paw edema), and in vitro antimicrobial activity. Active crude extract was then partitioned using the liquid-liquid separation method followed by further separation of the active fraction by RP-HPLC. The active fraction was then subjected to LC-ESI-MS/MS analysis for tentative identification of bioactive metabolites responsible for its bioactive properties, followed by HPLC quantification. The analysis revealed methanol extract to have more phytochemical contents, radical scavenging properties, reduced inflammation in both models (in vitro and in vivo), and antimicrobial properties against urinary tract infection-causing agents as compared to dichloromethane and 50% methanol extracts. The ethyl acetate fraction obtained after liquid-liquid partitioning (LLP) of the active methanol extract exhibited more activity as compared to C. carandas methanol extract. RP-HPLC sub-fractionation yielded seven sub-fractions, but a slight decrease in biological potential was recorded. Therefore, LLP fraction B was subjected to further analysis. LC-ESI-MS/MS analysis led to the tentative identification of phenolic acids (chlorogenic acid, quinic acid), flavonoids (quercetin), and anthocyanins (peonidin-3-arabinoside, delphinidin-3-galactoside, delphinidin-3-rutinoside) in the active LLP ethyl acetate fraction. Chlorogenic acid, ellagic acid, and quinic acid were quantified as 17.6 µg/mg, 5.90 µg/mg, and 3.30 µg/mg, respectively, on a dry weight basis by HPLC. C. carandas may be considered a promising therapeutic plant, and the results of the current study provide more evidence to support the assertions made in ancient medical traditions. These findings highlight its promising applications in health, medicine, cosmetics, preservatives, and as a natural coloring agent.
Scenario Identification and Classification to Support the Assessment of Advanced Driver Assistance Systems
Authors: Kayatas Zafer , Bestle Dieter
Published: August 2024

In recent years, driver assistance systems in cars, buses, and trucks have become more common and powerful. In particular, the introduction of AI methods to sensors, signal fusion, and traffic recognition allows us to step forward from actual level-2 assistance to level-3 Advanced Driver Assistance Systems (ADAS), where driving becomes autonomous and responsibility shifts from the driver to the automobile manufacturers. This, however, requires a high-precision risk assessment of failure, which can only be achieved by extensive data acquisition and statistical analysis of real traffic scenarios (which is impossible to perform by humans). Therefore, critical driving situations have to be identified and classified automatically. This paper develops and compares two different strategies—a traditional rule-based approach derived from deterministic causal considerations, and an AI-based approach trained with idealized cut-in, cut-out, and cut-through maneuvers. Application to a 10-h measurement sequence on a German highway demonstrates that the latter has the higher performance, whereas the former misses some of the safety-relevant events to be identified.
Mesenchymal Stem Cells and Secretome as a New Possible Approach to Treat Cartilage Damage: An In Vitro Study
Authors: Bina Valentina , Brancato Alice Maria , Caliogna Laura , Berni Micaela , Gastaldi Giulia , Mosconi Mario , Pasta Gianluigi , Grassi Federico Alberto , Jannelli Eugenio
Published: August 2024

Introduction: Osteoarthritis is a degenerative condition of the cartilage, often common among the population and occurs frequently with aging. Many factors are decisive for the development of its pathogenesis such as age, obesity, trauma, mechanical load, and modification of synovial biology. The main features of osteoarthritis are chondrocytes and cartilage matrix loss, which lead to pain, loss of function of the whole joint, and disability, representing a relevant health problem. Recently, a new therapeutic approach based on cell therapy has been studying the regenerative ability of mesenchymal stem cells for osteoarthritic chondrocytes. Aim: This in vitro study clarifies the regenerative effects of multipotent adipose-derived stem cells and the pluripotent amniotic epithelial stem cells on arthrosis chondrocytes by performing co-culture experiments. Methods: We studied the regenerative potential of secretome (soluble factors and extracellular vesicles), mesenchymal stem cells, and the adipose stromal vascular fraction. The regenerative effects were evaluated by gene and protein expression analysis of articular cartilage-specific genes and proteins like col2a1, acan, and sox9. Results: Mesenchymal stem cells, secretome, and adipose stromal vascular fractions influenced the cartilage genes and protein expression. Conclusions: The results indicate that the treatment with mesenchymal stem cells could be the best biological approach for cartilage regenerative medicine.
ORASIS-MAE Harnesses the Potential of Self-Learning from Partially Annotated Clinical Eye Movement Records
Authors: El Hmimdi Alae Eddine , Palpanas Themis , Kapoula Zoï
Published: August 2024

Self-supervised learning (SSL) has gained significant attention in the past decade for its capacity to utilize non-annotated datasets to learn meaningful data representations. In the medical domain, the challenge of constructing large annotated datasets presents a significant limitation, rendering SSL an ideal approach to address this constraint. In this study, we introduce a novel pretext task tailored to stimulus-driven eye movement data, along with a denoising task to improve the robustness against simulated eye tracking failures. Our proposed task aims to capture both the characteristics of the pilot (brain) and the motor (eye) by learning to reconstruct the eye movement position signal using up to 12.5% of the unmasked eye movement signal patches, along with the entire REMOBI target signal. Thus, the encoder learns a high-dimensional representation using a multivariate time series of length 8192 points, corresponding to approximately 40 s. We evaluate the learned representation on screening eight distinct groups of pathologies, including dyslexia, reading disorder, and attention deficit disorder, across four datasets of varying complexity and size. Furthermore, we explore various head architecture designs along with different transfer learning methods, demonstrating promising results with improvements of up to approximately 15%, leading to an overall macro F1 score of 61% and 61.5% on the Saccade and the Vergence datasets, respectively. Notably, our method achieves macro F1 scores of 64.7%, 66.1%, and 61.1% for screening dyslexia, reading disorder, and attention deficit disorder, respectively, on clinical data. These findings underscore the potential of self-learning algorithms in pathology screening, particularly in domains involving complex data such as stimulus-driven eye movement analysis.
Geographical Factors Influencing Public Participation in Architectural Heritage Conservation: A Case Study of Chinese Wooden Arch Corridor Bridges
Authors: Han Yi-Wei , Chen Yan-Bing , Zhao Si-Yan , Chen Jin-Liao , Peng Dong-Hui
Published: August 2024

Public participation in architectural heritage protection is a crucial part of promoting the development of heritage conservation. However, even in the same country, different regions protect heritage at different levels. This study, taking national wooden arch corridor bridges as the research object, analyzes the public participation level in wooden arch corridor bridge protection in the last 5 years, studying the factors that influence public participation and the change in rules of public participation caused by geography, providing a theoretical reference for the sustainable development of the protection of wooden arch corridor bridges. The results indicate (1) public participation in the protection of wooden arch corridor bridges has been increasing annually under government guidance; (2) there is a positive correlation between the concentration of wooden arch corridor bridges and the level of public participation; (3) the better the planning is regarding wooden arch corridor bridges and their surrounding areas, the higher the level of public participation, while the lower the level of residents’ participation and willing; (4) the higher the development and better the transportation in the areas where wooden arch corridor bridges are located, the higher the level of public participation; and (5) increasing the popularity of wooden arch corridor bridges, as well as the areas they are located in, can enhance public participation. These conclusions and research methods also provide methodological guidance and theoretical support for other public participation in the study of architectural heritage.
Non-Uniform Drying Shrinkage in Robocasted Green Body Ceramic Products
Authors: Lauro Nicolas , Alzina Arnaud , Nait-Ali Benoit , Smith David S.
Published: August 2024

The formation of defects, due to drying, in robocasted ceramic objects is an important issue arising from non-uniform shrinkage of the material during this step in the process. Common methods for shrinkage measurement are not well suited to the small size of robocasted cords or the complexity of robocasted objects. Innovative methods for shrinkage measurement were developed using non-destructive optical vision techniques with computer-controlled data acquisition, allowing measurement on millimetric cords and on specific zones of a product. The study of a single porcelain cord revealed an anisometric shrinkage related to the orientation of grains during extrusion. A differential shrinkage at the macroscopic scale was also measured on a robocasted object, indicating a moisture content gradient in the material. The methods presented in this paper are of particular relevance to real-time control of the drying process for robocasted objects.
Simplified Synthesis of Dicoumarol-Based Copolyester for Anticancer Drug Delivery
Authors: Jaikumar Gowsika , Veerabagu Udayakumar , Kikas Timo , Shanmugam Sabarathinam
Published: August 2024

A novel dicoumarol-based copolyester was synthesized via a one-step polycondensation reaction using titanium tetraisopropoxide (TTIP) as a catalyst. The copolyester was characterized using Fourier transform infrared spectroscopy (FT-IR), Nuclear Magnetic Resonance (NMR) spectroscopy (1H and 13C), and Differential Scanning Calorimetry (DSC). Scanning electron microscopy (SEM) was used to examine the surface morphology before and after degradation. The synthesized copolyester exhibited toxicity against MCF-7 breast cancer cells, with an IC50 value of 62.5 μg/mL, and demonstrated potential as a drug carrier with a consistent drug-release rate. The combination of dicoumarol, itaconic acid, and 1,12-dodecanediol in the copolyester enhances its biomedical capabilities, with dicoumarol providing anticancer properties, itaconic acid offering biocompatibility and mechanical stability, and 1,12-dodecanediol ensuring structural integrity and responsiveness. This study presents the first example of a dicoumarol-substituted copolyester, which was thoroughly characterized and shown to have promising biocompatibility for targeted anticancer therapy. The synthesis of this novel copolyester from renewable sources highlights the growing interest in sustainable materials for pharmaceutical and biomedical applications, particularly in drug delivery and tissue engineering for cancer treatment.
Hydrothermal Generation, Crystal Structures, and Catalytic Performance of Mn(II), Cu(II), and Ni(II) Coordination Polymers Based on a Pyridine–Tricarboxylate Ligand
Authors: Mei Zhenzhong , Wang Hongyu , Kang Xiuqi , Yang Ying , Gu Jinzhong
Published: August 2024

A pyridine–tricarboxylic acid, 4-(6-carboxy-pyridin-3-yl)-isophthalic acid (H3cpia), was used as a versatile building block to synthesize three novel coordination polymers under hydrothermal conditions and formulated as [Mn8(μ3-Hcpia)2 (μ6-cpia)4(Hbiim)2(H2O)6]n·6nH2O (1), [Cu3(μ4-cpia)2(bipy)2(H2O)2]n·4nH2O (2), and [Ni3(μ3-cpia)2(dpe)3(H2O)2]n·4nH2O (3). Three supporting ligands, 2,2′-biimidazole (H2biim), 2,2′-bipyridine (bipy), and 1,2-di(4-pyridyl)ethane (dpe), were used in the synthesis. The structures of the studied products 1–3 varied significantly, ranging from a 1D chain (2) to 2D sheets (1 and 3). Furthermore, these compounds were evaluated as heterogeneous catalysts for the Henry reaction, achieving high product yields under optimized conditions. In addition, we investigated various reaction parameters and substrate scopes, and assessed the feasibility of catalyst recycling. This thorough investigation’s results highlight the versatility of H3cpia as a tricarboxylate building block in the formation of functional coordination polymers.
Growth Stunting and Nutritional Deficiencies among Children and Adolescents with Celiac Disease in Kuwait: A Case–Control Study
Authors: Almahmoud Esraa , Alkazemi Dalal Usamah Zaid , Al-Qabandi Wafaa
Published: August 2024

Background/Objectives: This study aimed to assess the nutritional status of children and adolescents with celiac disease (CD) in Kuwait and investigate the nutritional deficiencies and sociodemographic factors associated with growth stunting in this population. Methods: This case–control study included 77 CD patients aged 3–18 years diagnosed with CD using IgA anti-tissue transglutaminase and duodenal biopsy and 33 healthy controls. Nutritional status was evaluated based on demographic and clinical characteristics, anthropometric measurements, and biochemical parameters. Univariate and multivariate logistic regression models were used to determine the association between CD and growth stunting. Results: Approximately one-third (31%) of children with CD had stunted growth, 20.8% had a low body mass index for their age, and 5.2% had both growth stunting and wasting. Children with CD had higher odds of iron-deficiency anemia, vitamin D deficiency, anemia, and lower socioeconomic status. They were also younger and had decreased serum levels of vitamin D compared to the controls. These factors were all significantly associated with an increased risk of CD, collectively explaining over 50% of the risk. For growth stunting, lower education status among mothers, family income, and serum ferritin were identified as risk factors. Conclusions: A significant proportion of children and adolescents with CD had malnutrition, overt deficiencies, and impaired growth despite coherence with a gluten-free diet. Recommendation: Routine monitoring and targeted nutritional interventions are recommended for children and adolescents with CD to address malnutrition and growth stunting. Addressing socioeconomic disparities and enhancing maternal education may also help mitigate the risk factors.
Cacalol Acetate as Anticancer Agent: Antiproliferative, Pro-Apoptotic, Cytostatic, and Anti-Migratory Effects
Authors: Rostro-Alonso Gareth Omar , Castillo-Montoya Alejandro Israel , García-Acosta Juan Carlos , Aguilar-Llanos Erick Fernando , Quintas-Granados Laura Itzel , Villegas-Vazquez Edgar Yebrán , García-Aguilar Rosario , Porras-Vázquez Samantha Andrea , Bustamante-Montes Lilia Patricia , Alvarado-Sansininea Jesús J. , Jiménez-Estrada Manuel , Cariño-Calvo Lizbeth , Carmen Manuel González-del , Cortés Hernán , Leyva-Gómez Gerardo , Figueroa-González Gabriela , Reyes-Hernández Octavio Daniel
Published: August 2024

Cacalol (C), a sesquiterpene isolated from Psacalium decompositum, has demonstrated anti-inflammatory and antioxidant activities. Its cytotoxic, antiproliferative, and pro-apoptotic effects have been previously shown in an in vitro breast cancer model. A derivative, cacalol acetate (CA), shows potential in regulating these processes, which has not been previously reported. This study focused on an in vitro cervical cancer model, assessing CA’s antiproliferative, pro-apoptotic, cytostatic, and anti-migratory activities using the HeLa cell line. The natural anticancer agent indole-3-carbinol (I3C) was used as a control for comparison. CA demonstrated significant antitumor activities, including inhibiting cell growth, inducing apoptosis, arresting cells in the G2 phase of the cell cycle, and inhibiting cell migration. These effects were notably greater compared to I3C. I3C, while following a similar trend, did not induce Cas-3 expression, suggesting a different apoptotic pathway. Neither CA nor I3C increased p62 and LC3B levels, indicating they do not stimulate autophagy marker expression. Both compounds inhibited HeLa cell migration and induced cell cycle arrest. Despite both holding promise as anticancer agents for cervical cancer, CA’s lower cytotoxicity and stronger regulation of tumor phenotypes make it a more promising agent compared to I3C.
A Novel Dhillonvirus Phage against Escherichia coli Bearing a Unique Gene of Intergeneric Origin
Authors: Vasileiadis Anastasios , Bozidis Petros , Konstantinidis Konstantinos , Kesesidis Nikolaos , Potamiti Louiza , Kolliopoulou Anna , Beloukas Apostolos , Panayiotidis Mihalis I. , Havaki Sophia , Gorgoulis Vassilis G. , Gartzonika Konstantina , Karakasiliotis Ioannis
Published: August 2024

Antibiotics resistance is expanding amongst pathogenic bacteria. Phage therapy is a revived concept for targeting bacteria with multiple antibiotics resistances. In the present study, we isolated and characterized a novel phage from hospital treatment plant input, using Escherichia coli (E. coli) as host bacterium. Phage lytic activity was detected by using soft agar assay. Whole-genome sequencing of the phage was performed by using Next-Generation Sequencing (NGS). Host range was determined using other species of bacteria and representative genogroups of E. coli. Whole-genome sequencing of the phage revealed that Escherichia phage Ioannina is a novel phage within the Dhillonvirus genus, but significantly diverged from other Dhillonviruses. Its genome is a 45,270 bp linear double-stranded DNA molecule that encodes 61 coding sequences (CDSs). The coding sequence of CDS28, a putative tail fiber protein, presented higher similarity to representatives of other phage families, signifying a possible recombination event. Escherichia phage Ioannina lytic activity was broad amongst the E. coli genogroups of clinical and environmental origin with multiple resistances. This phage may present in the future an important therapeutic tool against bacterial strains with multiple antibiotic resistances.
Selection and Validation of Reliable Reference Genes for Liquidambar formosana Leaves with Different Leaf Colors
Authors: Zhou Fangwei , Xu Liang , Shi Congguang , Yang Shaozong , Chen Yahui
Published: August 2024

Liquidambar formosana Hance is renowned for its rich leaf color and possesses notable advantages, such as robust adaptability, strong resistance to diseases and pests, and rapid growth, making it a preferred choice for urban greening and carbon sequestration forest initiatives. The completion of whole-genome sequencing of L. formosana has spurred an increased interest in exploring the molecular mechanisms underlying seasonal changes in leaf color, marking a significant focus in L. formosana breeding research. However, there is currently a lack of stable reference genes suitable for analyzing the expression patterns of functional genes in L. formosana exhibiting varying leaf colors. This study selected five L. formosana varieties with significant differences in leaf colors. Through the RT-qPCR analysis, and evaluation using BestKeeper, geNorm, NormFinder, Delta Ct, and RefFinder, the expression stability of 14 candidate reference genes was examined. Consequently, two reference genes (LifEF1-α and LifACT) with stable expression, suitable for RT-qPCR of L. formosana with diverse leaf colors, were identified. The stability of these selected reference genes was further validated by examining the LifbHLH137 gene, which promoted the biosynthesis of anthocyanins. This advancement facilitated molecular biology and genetic breeding investigations of L. formosana, providing essential data for the precise quantification of functional genes associated with leaf color variation.
Systematic Literature Review of Heuristic-Optimized Microgrids and Energy-Flexible Factories
Authors: Prior Johannes , Drees Tobias , Miro Michael , Kuhlenkötter Bernd
Published: August 2024

Decentralized renewable energy generation and consumption through microgrids, coupled with short- and long-term storage systems and enhanced demand flexibility, represent a promising strategy for mitigating grid stress and reducing emissions in the industrial sector. However, transitioning into a sustainable industry often poses challenges in terms of economic feasibility. This review surveys current optimization approaches and simulation functionalities to enhance feasibility. It follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, covering 1066 studies from 2016 to 2023 across three research areas: optimal system sizing of microgrids (OSS), optimization of electrical energy distribution to storage systems and consumers (EED), and energy flexibilization of factories (EF). As a result, 24 filtered sources from these areas were analyzed. Quantitative analysis indicated that evolutionary and swarm-inspired metaheuristics are predominantly applied in OSS, whereas exact linear problem solvers are favored for EED and EF optimization. A range of functionalities is available, and approaches often prioritize individual functionalities, such as load forecasting, dynamic electricity pricing, and statistical representation of energy generation, rather than comprehensively integrating them. Furthermore, no current approach simultaneously integrates optimization and simulation models across all three research areas.
Genomic Markers and Personalized Medicine in Androgenetic Alopecia: A Comprehensive Review
Authors: Vila-Vecilla Laura , Russo Valentina , de Souza Gustavo Torres
Published: August 2024

Androgenetic alopecia (AGA) is the most common form of hair loss, significantly affecting both men and women worldwide. Characterized by progressive hair thinning and loss, AGA is primarily mediated by dihydrotestosterone (DHT). Recent research has identified numerous single-nucleotide polymorphisms (SNPs) associated with AGA, particularly in genes involved in androgen metabolism, prostaglandin pathways, and vasodilation. These genetic markers offer insights into AGA pathophysiology and potential therapeutic targets. Pharmacogenetics, the study of how genetic variations influence drug response, holds promise for personalized AGA treatment. Identifying SNPs that affect the efficacy of treatments like minoxidil and finasteride enables the development of tailored therapeutic strategies. For instance, genetic variants in the SRD5A2 gene, which affects DHT metabolism, can predict responsiveness to 5-alpha-reductase inhibitors. Beyond pharmacogenetics, RNA interference (RNAi) technologies, e.g., small interfering RNAs (siRNAs), present new therapeutic avenues. Studies have shown the efficacy of RNAi-based treatments in targeting androgen receptors, promoting hair growth in AGA models. Integrating genetic and pharmacogenetic research into clinical practice can transform AGA management, enhancing treatment efficacy and patient outcomes. In conclusion, genetic and pharmacogenetic insights are crucial for developing personalized treatments for AGA, while emerging RNAi technologies offer promising new interventions. These advancements represent significant steps toward more effective and individualized AGA therapies.
Could the Spike Protein Derived from mRNA Vaccines Negatively Impact Beneficial Bacteria in the Gut?
Authors: Rubio-Casillas Alberto , Fabrowski Mark , Brogna Carlo , Cowley David , Redwan Elrashdy M. , Uversky Vladimir N.
Published: August 2024

The emergence of mRNA vaccines for SARS-CoV-2 has opened a new page in vaccine development. Nevertheless, concerns of experts have been expressed about unintentional side effects on the gut microbiota (GM). Previous studies showed that this virus acts as a bacteriophage, which infects and destroys specific bacterial strains in the GM. The present manuscript hypothesizes that the synthetic spike protein could create changes in the composition and the functioning of the GM by entering the intestinal cells after vaccination and impairing the symbiotic relationship between intestinal cells and the GM. An experimental protocol to test the hypothesis is suggested.
An Improved YOLOv7 Model for Surface Damage Detection on Wind Turbine Blades Based on Low-Quality UAV Images
Authors: Liao Yongkang , Lv Mingyang , Huang Mingyong , Qu Mingwei , Zou Kehan , Chen Lei , Feng Liang
Published: August 2024

The efficient damage detection of the wind turbine blade (WTB), the core part of the wind power, is very improtant to wind power. In this paper, an improved YOLOv7 model is designed to enhance the performance of surface damage detection on WTBs based on the low-quality unmanned aerial vehicle (UAV) images. (1) An efficient channel attention (ECA) module is imbeded, which makes the network more sensitive to damage to decrease the false detection and missing detection caused by the low-quality image. (2) A DownSampling module is introduced to retain key feature information to enhance the detection speed and accuracy which are restricted by low-quality images with large amounts of redundant information. (3) The Multiple attributes Intersection over Union (MIoU) is applied to improve the inaccurate detection location and detection size of the damage region. (4) The dynamic group convolution shuffle transformer (DGST) is developed to improve the ability to comprehensively capture the contours, textures and potential damage information. Compared with YOLOv7, YOLOv8l, YOLOv9e and YOLOv10x, this experiment’s results show that the improved YOLOv7 has the optimal detection performance synthetically considering the detection accuracy, the detection speed and the robustness.
Placebo Effects on the Enjoyment of Physical Activity and Performance among Kindergarten Children: A Randomized Controlled Trial
Authors: Stopper Marlies , Wabnegger Albert , Schienle Anne
Published: August 2024

Studies with adults and school children have shown that placebos can enhance motivation and performance in physical activities. This study aimed to investigate whether similar effects are present in kindergarten-aged children. A total of 101 children (58 girls, 43 boys) aged 3 to 6 years were randomly assigned to one of two groups that either received a deceptive placebo (DP: “magic potion”) or a nondeceptive placebo (NDP: “water”) to enhance physical abilities. Each child completed three tasks (sprinting; balancing: standing on a balance board; strength: using a handheld dynamometer) both with and without the placebo. The variables assessed included task performance, enjoyment, and expected and perceived placebo efficacy (measured with nonverbal pictorial rating scales). Results showed that both the DP and NDP increased speed. For strength, balance, and task enjoyment (which was very high), no placebo-induced changes were observed. Expected efficacy was higher for the DP; perceived efficacy did not differ between DP and NDP. In conclusion, reported outcome expectations indicated that kindergarten-aged children were already able to differentiate between the two types of placebos which exhibited positive effects concerning running performance. This encourages further research on using nondeceptive placebos to enhance physical activity, which is crucial for children’s overall health.
Advanced Energy Modeling and Prediction of Integrated Micro-Generator System for Useful Heat Harvesting
Authors: Ajeena Ahmed M. , Al-Madhhachi Hayder , Almadhhachi Mensour
Published: August 2024

Theoretical modeling and numerical simulation of an integrated micro-thermoelectric generator system for thermal power generation are carried out. The system measures 4.2 × 4.2 × 5 mm and consists of a micro-thermoelectric module (bismuth telluride) and two finned heat sinks (aluminum). The system can be used to convert thermal energy to electricity in Seebeck effect-based micro-applications. This work aims to improve an advanced model to effectively predict the thermal performance of the system and to develop thermal and flow simulations to accurately evaluate real micro-thermoelectric generator systems. The advanced model solves the thermoelectric module’s energy equations, incorporating heat balance in the heat transfer calculations. The thermal and flow simulations take into account the dynamic calculations under the thermal loads occurring in the system. This innovative aspect can considered separately for the different materials (ceramics, semiconductors and copper strips) of the micro-thermoelectric module for heat transfer enhancement. The results predicted that when the temperature difference of the thermoelectric module was increased from 18 K to 58 K, the power output and the conversion efficiency of the system increased by about 0.5 W and 50%, respectively. Also, the transfer of useful heat to electrical power was achieved at 83%, with 11% saved heat and thermal losses of 6% W at maximum temperature difference of the module. In terms of overall energy consumption, the integrated micro-thermoelectric generator system has a little environmental impacts. Validation of the model with particular experimental works was accomplished for dependability. Comparisons with different modeling strategies demonstrate that the accuracy and performance of the advanced model can be used to reliably study the thermal performance of real micro-thermoelectric generator systems.
ESFD-YOLOv8n: Early Smoke and Fire Detection Method Based on an Improved YOLOv8n Model
Authors: Mamadaliev Dilshodjon , Touko Philippe Lyonel Mbouembe , Kim Jae-Ho , Kim Suk-Chan
Published: August 2024

Ensuring fire safety is essential to protect life and property, but modern infrastructure and complex settings require advanced fire detection methods. Traditional object detection systems, often reliant on manual feature extraction, may fall short, and while deep learning approaches are powerful, they can be computationally intensive, especially for real-time applications. This paper proposes a novel smoke and fire detection method based on the YOLOv8n model with several key architectural modifications. The standard Complete-IoU (CIoU) box loss function is replaced with the more robust Wise-IoU version 3 (WIoUv3), enhancing predictions through its attention mechanism and dynamic focusing. The model is streamlined by replacing the C2f module with a residual block, enabling targeted feature extraction, accelerating training and inference, and reducing overfitting. Integrating generalized efficient layer aggregation network (GELAN) blocks with C2f modules in the neck of the YOLOv8n model further enhances smoke and fire detection, optimizing gradient paths for efficient learning and high performance. Transfer learning is also applied to enhance robustness. Experiments confirmed the excellent performance of ESFD-YOLOv8n, outperforming the original YOLOv8n by 2%, 2.3%, and 2.7%, with a mean average precision (mAP@0.5) of 79.4%, precision of 80.1%, and recall of 72.7%. Despite its increased complexity, the model outperforms several state-of-the-art algorithms and meets the requirements for real-time fire and smoke detection.
Effects of Environmental Enrichment on the Growth, Gonadal Development, and Welfare of the Chinese Hooksnout Carp (Opsariichthys bidens)
Authors: Lin Yurui , Li Qianhui , Cai Zhuo , Ye Jiazheng , Tong Wanqing , Ren Siqi , Wu Xinrui , Chen Huixian , Lü Meidi , Zheng Shanjian
Published: August 2024

To investigate the effects of environmental enrichment on the growth and welfare level of the Chinese hooksnout carp (Opsariichthys bidens), an experiment was carried out for 56 d with four types of enrichment environments: low-density physical enrichment, high-density physical enrichment, low-density social enrichment, and high-density social enrichment. The experimental results revealed that both physical and social enrichment treatments positively affected the growth and gonadal development of O. bidens. The physical enrichment treatment was found to increase the antioxidants’ content, such as CAT, SOD, and GSH, in the liver of O. bidens. Moreover, this treatment was able to lead to a reduction in MDA content and enhancement of the fish’s antioxidant capabilities. Behavioral observations, cortisol level analysis, and pcna gene expression analysis indicated that the physical enrichment treatment redused the clustering, aggression, and stress behaviors of O. bidens, maintaining them in a low-stress state. In most respects, the high-density physical enrichment has more positive effects than the low-density one. In contrast, the social enrichment treatments resulted in higher stress levels for O. bidens.
Transcriptome Analysis Reveals the Variations in Enzyme Production of Saccharopolyspora rosea A22 under Different Temperatures
Authors: Lin Congyu , Lu Peiqi , Ma Jingqiu , Li Zhihui , Han Xiao , Ji Zhongwei , Liu Shuangping , Mao Jian
Published: August 2024

Saccharopolyspora is a key microorganism in the fermentation of traditional fermented foods, capable of producing saccharifying and liquefying enzymes at elevated temperatures. However, the specific mechanisms and regulatory pathways governing Saccharopolyspora’s response to ambient temperatures are not yet fully understood. In this study, the morphological differences in Saccharopolyspora rosea screened from traditional handmade wheat Qu at different temperatures were initially explored. At 37 °C, the mycelium exhibited abundant growth and radiated in a network-like pattern. As the temperature increased, the mycelium aggregated into clusters. At 50 °C, it formed highly aggregated ellipsoidal structures, with the mycelium distributed on the spherical surface. Subsequently, we assessed the biomass, saccharifying enzyme activity and liquefying enzyme activity of Saccharopolyspora rosea cultured at 37 °C, 42 °C and 50 °C. Furthermore, transcriptome analysis demonstrated that Saccharopolyspora rosea employs mechanisms related to the carbon metabolism, the TCA cycle, glycine, serine and threonine metabolisms, and microbial metabolism in diverse environments to coordinate its responses to changes in environmental temperature, as verified by the expression of typical genes. This study enhances our understanding of the differences in high-temperature enzyme production by Saccharopolyspora, and offers valuable guidance for the traditional fermented food industry to drive innovation.
Impact of Sprouted Chickpea Grits and Flour on Dough Rheology and Bread Features
Authors: Bresciani Andrea , Sergiacomo Alessio , De Stefani Andrea , Marti Alessandra
Published: August 2024

This study investigated the effects of incorporating sprouted chickpeas, at a 25% enrichment level, into bread production as either grits (90% of particles ≥500 µm) or flour (90% of particles ≤250 µm). The focus was to investigate the role of particle size on dough and bread. In addition to the functional, mixing and pasting properties of ingredients, gluten aggregation, mixing, extensional, leavening, and pasting properties of the blends were assessed during bread-making, as well as bread volume and texture. Chickpea particle size influenced water absorption capacity (1.8 for grits vs. 0.75 g/g for flour) and viscosity (245 for grits vs. 88 BU for flour), with flour showing a greater decrease in both properties. With regard to dough properties, dough development time (16.6 vs. 5.3 min), stability (14.6 vs. 4.6 min), and resistance to extension (319 vs. 235 BU) was higher, whereas extensibility was lower (105 vs. 152 mm) with grits, compared to flour. During bread-making, grits resulted in a higher specific volume (2.5 vs. 2.1 mL/g) and softer crumb (6.2 vs. 17.4 N) at all the considered storage times. In conclusion, sprouted chickpea grits can be effectively used as a new ingredient in bread-making favouring the consumption of chickpea, without compromising product quality.
Effect on the Antioxidant Properties of Native Chilean Endemic Honeys Treated with Ionizing Radiation to Remove American Foulbrood Spores
Authors: Mejías Enrique , Gomez Carlos , Garrido Tatiana
Published: August 2024

In Chile, honey is produced from several native species with interesting biological properties. Accordingly, those attributes are present in Chilean honeys owing to the presence of phenolic compounds inherited from specific floral sources. In recent years, the exported volume of Chilean honeys has been increased, reaching new markets with demanding regulations directed toward the fulfilment of consumers’ expectations. Accordingly, there are countries with special requirements referring to Paenibacillus larvae spore-free honeys. This microorganism is the pathogen responsible for American foulbrood disease in beehives; however, antibiotics are not allowed when an apiary tests positive for P. larvae. On the other hand, it is mandatory to have an accurate method to remove the potential presence of spores in bee products intended for export. Exposure to ionizing radiation can be an efficient way to achieve this goal. In this work, 54 honey samples harvested from northern, central and southern Chile were analyzed for physicochemical patterns, total phenols, antioxidant activity and antiradical activity. Honeys with and without spores were exposed to ionizing radiation at three levels of intensity. Afterwards, the presence of spores and the effect on phenol bioavailability, antiradical activity and antioxidant activity were measured again. This research presents results showing a positive correlation between the percentage of prevalence of native endemic species in the set of honeys analyzed and the capacity to resist this process, without altering their natural attributes determined before irradiation treatments.
Evaluation of a Novel Detection Method for Allergen-Specific IgE Antibodies with IgE Receptor Crosslinking Using Rat Food Allergy Model
Authors: Ishii Soichiro , Koga Yuki , Yokooji Tomoharu , Kakino Misaki , Ogino Ryohei , Taogoshi Takanori , Matsuo Hiroaki
Published: August 2024

The specific detection of serum IgE antibodies specific to allergens (sIgE Abs) that can crosslink the plural high-affinity IgE receptor (FcεRIα) molecules on the surface of mast cells or basophils with a multivalent allergen can reduce the false-positive diagnoses observed in chemiluminescent and fluorescence enzyme immunoassays for type-I allergic patients. In this study, we detected sIgE Abs to the egg-allergen ovalbumin (OVA) and the wheat-allergen gluten in the sera of rats sensitized with each allergen using an amplified luminescence proximity homogeneous assay by crosslinking (AlphaCL). OVA and gluten were reacted with each sIgE Ab in the sera. Then, acceptor and donor beads labeled with the human FcεRIα were added to the reacted solution. The luminescence intensity for anti-OVA IgE Abs in the sera with the removal of IgG Abs was observed in five of seven (71.4%) of the sensitized rats, whereas no signals were observed in any of the unsensitized rats. The AlphaCL could also detect anti-gluten sIgE Abs in the sera of sensitized rats, but not of unsensitized rats. In conclusion, we successfully detected sIgE Abs in the sera of rats sensitized to two allergens using the AlphaCL. This detection method has the potential to be used as a new diagnostic tool for type-I allergic patients.
Advancing Analytical Techniques in PET and rPET: Development of an ICP–MS Method for the Analysis of Trace Metals and Rare Earth Elements
Authors: Di Duca Fabiana , Montuori Paolo , De Rosa Elvira , De Simone Bruna , Scippa Stefano , Dadà Giuseppe , Triassi Maria
Published: August 2024

Despite the extensive use of recycled polyethylene terephthalate (rPET) in food contact materials (FCMs), research on the presence of heavy metals (HMs) and rare earth elements (REEs) during various recycling stages (e.g., flakes, granules, and preforms) remains limited. This study aimed to address these gaps by validating a rapid and sensitive analytical method to quantify 26 HMs and 4 REEs in PET and rPET matrices. An ICP-MS method was validated per EURACHEM guidelines, assessing linearity, limits of detection (LOD), limits of quantification (LOQ), accuracy, and repeatability. The method was employed for initial screening of HMs and REEs classified as non-intentionally added substances (NIASs) in PET and rPET samples. The findings showed high accuracy and reliability, with recovery rates between 80% and 120%. Analysis revealed varying concentrations of HMs and REEs, with the highest levels in 100% rPET preforms, notably Zn, Cu, and Al among HMs, and La among REEs. The study identified critical contamination points during the recycling process, highlighting the need for targeted interventions. This research provides a crucial analytical framework for assessing HMs and REEs in PET and rPET, ensuring FCM safety compliance and supporting efforts to enhance rPET product safety, promoting public health protection and advancing the circular economy.
Transglutaminase Crosslinked Milk Protein Concentrate and Micellar Casein Concentrate: Impact on the Functionality of Imitation Mozzarella Cheese Manufactured on a Small Scale Using a Rapid Visco Analyzer
Authors: Salunke Prafulla , Metzger Lloyd E.
Published: August 2024

In dairy-based imitation mozzarella cheese (IMC) formulations, intact casein is critical and imparts IMC with a firm and elastic, stringy, melted texture. Rennet casein (RCN) is the desired ingredient to provide intact casein in IMC and is preferred over milk protein concentrate (MPC) and micellar casein concentrate (MCC). Transglutaminase (TGase), a crosslinking enzyme, alters the physical properties of MPC or MCC and may change IMC functionality. The objective of this study was to determine the effect of TGase-crosslinked MPC and MCC powders on the functionality of IMCs. The TGase treatment included TGase at 0.3 (L) and 3.0 (H) units/g of protein and a control (C) with no TGase addition. Each IMC formulation was balanced for constituents and was produced in a Rapid Visco Analyzer (RVA). The MCC or MPC powder with high TGase enzyme in IMC formulation did not form an emulsion. The IMC containing TGase-treated powders had a significantly (p ≤ 0.05) higher RVA-viscosity during manufacture and transition temperature (TT), and a significantly (p ≤ 0.05) lower Schreiber melt test area. The IMC made from MPC (with or without TGase) had lower TT values and Schreiber melt test area as compared with that made from MCC. The TGase-treated MPC and MCC, when used for IMC manufacture, were comparable to IMC manufactured with RCN in texture and some measured melted characteristics. In conclusion, TGase treatment alters the melt characteristics of MCC and MPC in IMC applications.
How Does the Psychological Impact of COVID-19 Affect the Management Strategies of Individuals with Type 1 and Type 2 Diabetes? A Mixed-Method Study
Authors: Madkhali Norah Abdullah Bazek
Published: August 2024

(1) Background: During and after the pandemic, individuals with type 1 and type 2 diabetes struggled to maintain a healthy lifestyle due to psychological distress and the struggle to accommodate contextual challenges and changes in their family and work obligations and expectations. This study aims to explore the long-term impacts of the pandemic on proactive self-management behaviors and outcomes that consider contextual and environmental factors, such as family and work dynamics. (2) Methods: In this mixed-method study, data were collected from 418 participants using the Hospital Anxiety and Depression Scale (HADS) and the Insomnia Severity Index (ISI), followed by 16 individual interviews. (3) Results: The prevalence of depression was 37.1%, that of anxiety was 59.1%, and that of insomnia was 66.3%. Significant differences were observed in anxiety by age (p = 0.02), while individuals with other comorbidities were more likely to report insomnia (p = 0.3). Overall, various challenges during the pandemic have exacerbated emotional distress and complicated self-care routines and adherence to healthy lifestyles. (5) Conclusions: The COVID-19 pandemic has prompted individuals with type 1 and 2 diabetes to adopt alternative health-management methods, such as self-care, proactive initiatives, and daily challenges. Enhancing proactiveness, awareness, and an understanding of individuals’ needs is crucial for alleviating stress, controlling disease, and preparing for potential future health crises in the wake of the pandemic’s long-term effects.
Chinese College Students’ Stigmatization towards People with Mental Illness: Familiarity, Perceived Dangerousness, Fear, and Social Distance
Authors: Li Xu-Hong , Wong Yin-Ling Irene , Wu Qinglu , Ran Mao-Sheng , Zhang Tian-Ming
Published: August 2024

Background: Attribution models have been examined in Western countries. However, little is known about the applicability of the attitude–emotion–behavior model within Chinese culture. This study aimed to examine the association between familiarity, perceived dangerousness, fear, and social distance towards persons with mental illness (PMI) in the Chinese context. Methods: An online cross-sectional survey was conducted from October to November 2022 in mainland China. A total of 1493 college students completed a questionnaire evaluating familiarity, perception of dangerousness, fear, and social distance regarding PMI. Path analysis was employed to validate the model proposed in this study. Results: Participants expressed moderate to high levels of stigma towards PMI. Familiarity was negatively associated with social distance (p < 0.01). Participants who perceived PMI as dangerous were more prone to exhibit a reaction of fear (p < 0.001), consequently leading to social distance (p < 0.01). However, the mediating effect of perceived dangerousness and fear on the relationship between familiarity and social distance was not significant (p > 0.05). Conclusions: The results of this study provide support for Corrigan’s attributional model of stigma in the Chinese context. Contact-based interventions for stigma reduction should emphasize multiple elements of contact, including the quality of contact, rather than familiarity.