bluuebunny/crossref_metadata_2025 huggingface dataset:
Genome-Wide Association Analysis of Boar Semen Traits Based on Computer-Assisted Semen Analysis and Flow Cytometry
Authors: Yang Xiyan , Nie Jingkun , Zhang Yaxuan , Wang Suqing , Zhu Xiaoping , Li Zhili , Zhao Yunxiang , Shang Xiuguo
Published: December 2024

Semen quality and persistence are critical for evaluating the usability of individual boars in AI, a standard practice in pig breeding. We conducted GWASs on various semen traits of Duroc boars, including MOT, DEN, ABN, MMP, AIR, and ROS levels. These traits were assessed using FCM and CASA. A total of 1183 Duroc boars were genotyped using the GeneSeek GGP Porcine 50 K SNP BeadChip. The GWAS was performed using three different models: GLM, MLM, and FarmCPU. Additionally, trait heritability was estimated using single- and multiple-trait PBLUP models, yielding 0.19, 0.29, 0.13, 0.18, 0.11, and 0.14 heritability for MOT, DEN, ABN, MMP, AIR, and ROS, respectively. All semen traits exhibited low heritability except ABN, which demonstrated medium heritability. Nine candidate genes (GPX5, AWN, PSP-II, CCDC62, TMEM65, SLC8B1, TRPV4, UBE3B, and SIRT5) were potentially associated with semen traits. These genes are associated with antioxidant and mitochondrial functions in porcine sperm. Our findings provide insight into the genetic architecture of semen traits in Duroc boars, and the identified SNPs and candidate genes may enhance economic outcomes in the pig breeding industry while improving sperm quality through targeted breeding strategies.
Seasonal Variations and Sexual Differences in Home Range Sizes and Activity Patterns of Endangered Long-Tailed Gorals in South Korea
Authors: Lim Sangjin , Banjade Maniram , Ahn Jaeyong , Song Dongju , Son Jangick , Park Yungchul
Published: December 2024

The long-tailed goral (Naemorhedus caudatus) faces significant threats from habitat loss and fragmentation and is classified as a Class I endangered species by the Ministry of Environment in South Korea and vulnerable by the IUCN. Understanding the behavioral ecology of this species is crucial for effective conservation and protective measures. Using GPS collars, this study investigated the home range sizes and activity patterns of nine rehabilitated long-tailed gorals (four males and five females) across three regions (Yanggu, Seoraksan National Park, and Uljin) from 2014 to 2016. The 95% minimum convex polygon (MCP) home range averaged 0.64 ± 0.33 km2, while the 50% MCP home range averaged 0.15 ± 0.05 km2. The male home ranges were larger than the female home ranges. Additionally, the home ranges varied seasonally, with the smallest recorded in winter. The activity pattern of long-tailed gorals was predominantly crepuscular and diurnal, with no significant sexual differences. There were no significant differences in activity during spring, summer, and autumn; however, activity in winter differed significantly from that in the other seasons. The data provided on the home ranges and activity patterns of the species will serve as a basis for developing effective conservation and management strategies to protect this endangered species. By elucidating the spatial and temporal behaviors of long-tailed gorals, this study enhances our understanding of the ecological needs of the species and helps develop precise conservation measures.
Breed-Associated Differences in Differential Gene Expression Following Immunotherapy-Based Treatment of Canine High-Grade Glioma
Authors: Arnold Susan A. , Low Walter C. , Pluhar Grace Elizabeth
Published: December 2024

Canine high-grade glioma (HGG) is among the deadliest and most treatment-resistant forms of canine cancer. Successful, widespread treatment is challenged by heterogeneity in tumor cells and the tumor microenvironment and tumor evolution following treatment. Immunotherapy is theoretically a strong novel therapy, since HGG-generated immunosuppression is a substantial malignancy mechanism. Immunotherapy has improved survival times overall, but has been associated with extremely poor outcomes in French bulldogs. Given this breed-specific observation, we hypothesized that within the French bulldog breed, there are key transcriptomic differences when compared to other breeds, and that their tumors change differently in response to immunotherapy. Using bulk RNA sequencing, French bulldog tumors were confirmed to differ substantially from boxer and Boston terrier tumors, with only 15.9% overlap in significant differentially expressed genes (DEGs). In upregulated DEGs, the magnitude of changes in expression post-treatment compared to pre-treatment was markedly greater in French bulldogs. Gene set enrichment analysis confirmed that following treatment, French bulldog tumors showed enrichment of key immune-associated pathways previously correlated with poor prognosis. Overall, this study confirmed that French bulldog HGG transcriptomes differ from boxer and Boston terrier transcriptomes, further refining description of the canine glioma transcriptome and providing important information to guide novel therapy development, both for specific dog breeds and for possible correlative variants of human glioblastoma.
Neonatal Sepsis: A Comprehensive Review
Authors: Kariniotaki Charikleia , Thomou Christina , Gkentzi Despoina , Panteris Eleftherios , Dimitriou Gabriel , Hatzidaki Eleftheria
Published: December 2024

Neonatal sepsis remains a significant cause of neonatal morbidity and mortality globally. At present, no clear consensus definition for sepsis in neonates exists, even though a positive blood culture is considered as the gold standard for definitive diagnosis. The accurate and timely diagnosis of sepsis in neonates presents significant difficulties, since “culture negative” or “suspected” sepsis varies widely worldwide. Antibiotic overuse and resistance are emerging problems, but on the other hand, under-recognition of sepsis and delayed antibiotic treatment could have serious or even fatal adverse outcomes in this vulnerable population. In the context of rapid recognition of sepsis and timely initiation of appropriate antibiotic therapy, various sepsis risk assessment tools have been developed, a variety of biomarkers are in clinical use or under research for future use, and new diagnostic techniques are under evaluation. In this review, we summarize the most recent data on neonatal sepsis, the utility of sepsis risk assessment tools for term and preterm infants with sepsis, and current diagnostic and preventive tools.
One Earth-One Health (OE-OH): Antibacterial Effects of Plant Flavonoids in Combination with Clinical Antibiotics with Various Mechanisms
Authors: Yuan Ganjun , Lian Fengxian , Yan Yu , Wang Yu , Zhang Li , Zhu Jianping , Fatima Aiman , Qian Yuxing
Published: December 2024

Background/Objectives: Antimicrobial resistance (AMR) poses a significant threat to human health, and combination therapy has proven effective in combating it. It has been reported that some plant flavonoids can enhance the antibacterial effects of antibiotics and even reverse AMR. This study systematically evaluated the synergistic effects of plant flavonoids and clinical antibiotics. Methods: The antibacterial activities of thirty-seven plant flavonoids and nine clinical antibiotics with various antimicrobial mechanisms were determined using the microbroth dilution method. Subsequently, the combined effects of twelve plant flavonoids presenting definite MICs against Staphylococcus aureus with these nine antibiotics were determined using the checkerboard test, together with those of thirty-two plant flavonoids presenting definite MICs against Escherichia coli with these nine antibiotics. Results: Plant flavonoids in combination with antibiotics present extensive synergistic effects, and 25% of combinations exhibited synergy against S. aureus and 50% against E. coli, particularly with antibiotics affecting cell membranes or ribosomes. Conclusions: The findings align with the drug selection principle of synergistic combinations and suggest that plant flavonoids could extensively enhance antibiotic efficacy. Considering that various metabolites from microorganisms, plants, and animals on the Earth would definitely impact the evolution of AMR, together with the rules, key factors, and important principles of drug combination for preventing AMR, we further propose the “One Earth-One Health (OE-OH)” concept, emphasizing ecosystem interactions in AMR prevention.
Unraveling the Anti-Cancer Mechanisms of Antibiotics: Current Insights, Controversies, and Future Perspectives
Authors: Karamanolis Nikolaos Nektarios , Kounatidis Dimitris , Vallianou Natalia G. , Dimitriou Krystalia , Tsaroucha Eleni , Tsioulos Georgios , Anastasiou Ioanna A. , Mavrothalassitis Evangelos , Karampela Irene , Dalamaga Maria
Published: December 2024

Cancer persists as a significant global health challenge, claiming millions of lives annually despite remarkable strides in therapeutic innovation. Challenges such as drug resistance, toxicity, and suboptimal efficacy underscore the need for novel treatment paradigms. In this context, the repurposing of antibiotics as anti-cancer agents has emerged as an attractive prospect for investigation. Diverse classes of antibiotics have exhibited promising anti-cancer properties in both in vitro and in vivo studies. These mechanisms include the induction of apoptosis and cell cycle arrest, generation of reactive oxygen species, and inhibition of key regulators of cell proliferation and migration. Additional effects involve the disruption of angiogenesis and modulation of pivotal processes such as inflammation, immune response, mitochondrial dynamics, ferroptosis, and autophagy. Furthermore, antibiotics have demonstrated the potential to enhance the efficacy of conventional modalities like chemotherapy and radiotherapy, while alleviating treatment-induced toxicities. Nevertheless, the integration of antibiotics into oncological applications remains contentious, with concerns centered on their disruption of gut microbiota, interference with immunotherapeutic strategies, contribution to microbial resistance, and potential association with tumorigenesis. This narrative review explores the mechanisms of antibiotics’ anti-cancer activity, addresses controversies about their dual role in cancer biology, and envisions future perspectives that include the development of novel derivatives and innovative frameworks for their incorporation into cancer treatment paradigms.
Carvedilol Confers Ferroptosis Resistance in HL-1 Cells by Upregulating GPX4, FTH1, and FTL1 and Inducing Metabolic Remodeling Under Hypoxia/Reoxygenation
Authors: Li Yi-Chin , Cheng Mei-Ling
Published: December 2024

Hypoxia/reoxygenation (HR) often occurs under cardiac pathological conditions, and HR-induced oxidative stress usually leads to cardiomyocyte damage. Carvedilol, a non-selective β-blocker, is used clinically to treat cardiac ischemia diseases. Moreover, Carvedilol has also been reported to have an antioxidant ability by reducing lipid peroxidation. However, the mechanism of Carvedilol to inhibit lipid peroxidation is still elusive. To explore the protective mechanism of Carvedilol to resist lipid peroxidation on cardiomyocytes, HL-1 cells were cultured under normoxia, hypoxia, and HR and treated with Carvedilol to investigate the alteration on metabolism, protein expression, and mRNA level to explain its oxidative mechanism. The study found that Carvedilol upregulated glutathione peroxidase 4 (GPX4) protein expression to resist HR-induced lipid peroxidation by metabolic remodeling under HR. Also, Carvedilol promoted ferroptosis-related genes, ferritin heavy chain 1 (FTH1) and ferritin light chain 1 (FTL1) mRNA levels, to reduce lipid peroxidation under both hypoxia and HR. In conclusion, our study explores a mechanism by which Carvedilol inhibits ferroptosis by upregulating GPX4, FTH1, and FTL1 levels to downregulate lipid peroxidation under HR. The study provides a potential strategy for using Carvedilol in clinical applications, inspiring further research and development in the area of heart diseases.
Antioxidant, Anti-α-Glucosidase, Anti-Tyrosinase, and Anti-Acetylcholinesterase Components from Stem of Rhamnus formosana with Molecular Docking Study
Authors: Tsai Chia-Hsuan , Liou Ya-Lun , Li Sin-Min , Liao Hsiang-Ruei , Chen Jih-Jung
Published: December 2024

Rhamnus formosana is a creeping evergreen shrub endemic to Taiwan. In traditional medicine, Rhamnaceae plants are used as herbal remedies for conditions such as itching, difficulty urinating, and constipation. This study explores the inhibitory effects of various solvent extracts and bioactive components of R. formosana on α-glucosidase, tyrosinase, acetylcholinesterase (AChE), and antioxidant activity. The 100 °C water extract exhibited strong antioxidant activity in DPPH, ABTS, superoxide, and FRAP assays. The methanol extract demonstrated the highest α-glucosidase inhibitory effect, while the ethanol extract displayed potent AChE inhibition and the acetone extract showed the most potential tyrosinase inhibitory activity among the extracts. Five main biocomponents were isolated and evaluated for their bioactivities. Among them, kaempferol (1) and quercetin (2) exhibited notable antioxidant activity in DPPH and ABTS assays. Particularly, kaempferol (1) performed the best α-glucosidase inhibitory effect, physcion (5) showed the strongest AChE inhibition, and quercetin (2) demonstrated the most potential for tyrosinase inhibitory activity. Further molecular docking studies revealed that there may be stronger binding mechanisms between bioactive components and target enzymes (including α-glucosidase, acetylcholinesterase, and tyrosinase) than the positive control. These findings suggest that bioactive extracts and compounds from the stems of R. formosana may have potential as natural antioxidant, anti-α-glucosidase, anti-AChE, and anti-tyrosinase drug candidates or dietary supplements for the management of oxidative stress-related conditions, including hyperglycemia, pigmentation disorders, and neurodegenerative diseases.
Optimization of Polyphenol Extraction from Purple Corn Pericarp Using Glycerol/Lactic Acid-Based Deep Eutectic Solvent in Combination with Ultrasound-Assisted Extraction
Authors: Kumar Ravinder , Flint-Garcia Sherry , Salazar Vidal Miriam Nancy , Channaiah Lakshmikantha , Vardhanabhuti Bongkosh , Sommer Stephan , Wan Caixia , Somavat Pavel
Published: December 2024

Purple corn pericarp, a processing waste stream, is an extremely rich source of phytochemicals. Optimal polyphenol extraction parameters were identified using response surface methodology (RSM) by combining a deep eutectic solvent (DES) and ultrasound-assisted extraction (UAE) method. After DES characterization, Plackett–Burman design was used to screen five explanatory variables, namely, time, Temp (temperature), water, Amp (amplitude), and S/L (solid-to-liquid ratio). The total anthocyanin concentration (TAC), total polyphenol concentration (TPC), and condensed tannin (CT) concentration were the response variables. After identifying significant factors, the Box–Behnken design was utilized to identify the optimal extraction parameters. The experimental yields under the optimized conditions of time (10 min), temperature (60 °C), water concentration (42.73%), and amplitude (40%) were 36.31 ± 1.54 g of cyanidin-3-glucoside (C3G), 103.16 ± 6.17 g of gallic acid (GA), and 237.54 ± 9.98 g of epicatechin (EE) per kg of pericarp, with a desirability index of 0.858. The relative standard error among the predicted and experimental yields was <10%, validating the robustness of the model. HPLC analysis identified seven phytochemicals, and significant antioxidant activities were observed through four distinct assays. Metabolomic profiling identified 57 unique phytochemicals. The UAE technique combined with DES can efficiently extract polyphenols from purple corn pericarp in a short time.
Protective Effects of Tormentic Acid on Unilateral Ureteral Obstruction-Induced Renal Injury, Inflammation, and Fibrosis: A Comprehensive Approach to Reducing Oxidative Stress, Apoptosis, and Ferroptosis
Authors: Yang Ah Young , Kim Jung-Yeon , Gwon Mi-Gyeong , Kwon Hyun Hee , Leem Jaechan , Jeon Eon-Ju
Published: December 2024

Chronic kidney disease (CKD) progresses through mechanisms involving inflammation, fibrosis, and oxidative stress, leading to the gradual structural and functional deterioration of the kidneys. Tormentic acid (TA), a triterpenoid compound with known anti-inflammatory and antioxidant properties, shows significant potential in counteracting these pathological processes. This study explored the protective role of TA in a unilateral ureteral obstruction (UUO)-induced CKD model. Mice received TA through intraperitoneal injections at a dosage of 5 mg/kg per day for 8 consecutive days, commencing a day before the UUO procedure. The TA treatment significantly improved both structural and functional kidney injury. It suppressed cytokine expression and reduced immune cell infiltration, inhibited the activation of the mitogen-activated protein kinase cascade, and alleviated endoplasmic reticulum stress. Moreover, TA displayed potent anti-fibrotic effects by reversing epithelial-to-mesenchymal transition and inhibiting Smad2/3 activation, reducing extracellular matrix deposition. TA also mitigated oxidative stress by attenuating lipid peroxidation and boosting antioxidant defenses. Additionally, it inhibited apoptosis and ferroptosis by reducing oxidative stress and modulating key cell death markers. Collectively, these findings indicate that TA provides comprehensive renoprotection in the UUO model by effectively targeting inflammation, fibrosis, oxidative stress, and tubular cell death in CKD progression.
Design and Preparation of a Self-Inhaling Internal Cooling Grinding Wheel with a Leaf Order Arrangement Structure
Authors: Wang Zixuan , Sun Zhengyu , Huang Yinhao , Yu Tianbiao , Zhao Jun
Published: December 2024

Grinding wheels are important tools for precision machining. Traditional grinding wheels have issues such as high grinding forces and temperatures on the machined surface, and excessive use of grinding fluids often leads to significant waste. To solve such problems, this paper proposes a self-inhaling internal cooling structured grinding wheel with a leaf order arrangement based on laser cladding technology, by which the “air barrier effect” in grinding is avoided. In this study, the structure of the grinding wheel substrate, as well as the arrangement of abrasive grain clusters, were optimized. The internal flow field and grinding zone flow field of the grinding wheel were simulated using the computational fluid dynamics method. To ensure stable grinding performance, the effects of different cooling hole positions and sizes on fluid motion were revealed, and the influence of grinding wheel rotational speed and coolant pressure on outlet velocity were analyzed. The results show that uniform coolant outlet velocity distribution can be achieved via matching the grinding wheel’s rotational speed with the initial pressure of the cooling fluid inside the grinding wheel. This study further explored the fluid motion patterns in the grinding zone for four differently structured surfaces. The advantages of using leaf order theory to arrange abrasive clusters were verified. Additionally, orthogonal experiments and range analysis were conducted to study the laser cladding preparation process of grinding wheels. With the optimal process parameters, a self-inhaling internal cooling grinding wheel with a leaf order arrangement structure was fabricated.
Comparing User Acceptance in Human–Machine Interfaces Assessments of Shared Autonomous Vehicles: A Standardized Test Procedure
Authors: Yan Ming , Rampino Lucia , Caruso Giandomenico
Published: December 2024

Human–Machine Interfaces (HMIs) in autonomous driving technology have recently gained significant research interest in public transportation. However, most of the studies are biased towards qualitative methods, while combining quantitative and qualitative approaches has yet to receive commensurate attention in measuring user acceptance of design outcome evaluation. To the best of our knowledge, no standardized test procedure that combines quantitative and qualitative methods has been formed to evaluate and compare the interrelationships between different designs of HMIs and their psychological effects on users. This paper proposes a practical and comprehensive protocol to guide assessments of user acceptance of HMI design solutions. We first defined user acceptance and analyzed the existing evaluation methods. Then, specific ergonomic factors and requirements that the designed output HMI should meet were identified. Based on this, we developed a protocol to evaluate a particular HMI solution from in- and out-of-vehicle perspectives. Our theoretical protocol combines objective and subjective measures to compare users’ behavior when interacting with Autonomous Vehicles (AVs) in a virtual experimental environment, especially in public transportation. Standardized testing procedures provide researchers and interaction designers with a practical framework and offer theoretical support for subsequent studies.
Comparative Exploration of Antioxidant Properties of Alcalase- and Trypsin-Hydrolyzed Porcine By-Products and Their Classification for Industrial Use
Authors: Hwang Jun , Son Woo-Young , Jeong Eun Ju , Kim Kyeong-Soo , Shin Eui-Cheol , Song Dong-Heon , Lee Kyung-Woo , Kim Hyun-Wook
Published: December 2024

Porcine by-products have garnered attention as an excellent material for producing antioxidant peptides; however, understanding the antioxidant characteristics of protein hydrolyzates derived from specific parts remains limited. In this study, we compared the antioxidant properties of protein hydrolyzates derived from major porcine organs (heart, kidney, spleen, liver, and lung) and performed classification based on their antioxidative potential. Their chemical composition exhibited significant variations, with a high protein content ranging from 15.90 to 20.30 g/100 g. Alcalase achieved higher hydrolysis efficiency than trypsin, which induced limited degradation of some proteins, such as porcine serum albumin. The hydrolyzates exhibited superior radical scavenging activities compared to the raw materials, although their reducing power remained unaffected or, in some instances, decreased. Hierarchical and k-mean cluster analyses revealed distinct antioxidant profiles and Alcalase-hydrolyzed kidney and trypsin-hydrolyzed lung hydrolyzates were deemed the most promising candidates, with strong radical scavenging activities and reducing power. Our findings indicate that, even when processed in bulk rather than being obtained from specific parts, porcine by-products can produce hydrolyzates rich in antioxidant peptides through enzymatic hydrolysis. However, selectively processing porcine kidneys with Alcalase and lungs with trypsin is recommended to produce premium products with enhanced and balanced antioxidant properties.
Approximate Solutions to a Degenerate Diffusion Equation with Absorption and Production: A Sharp Front Approach
Authors: Hristov Jordan
Published: December 2024

Approximate analytical solutions to a degenerate reaction–diffusion model with power-law absorption (source) and production (sink) terms have been developed. The integral-balance method applied to a preliminary transformed model and by a direct integration approach has provided physically reasonable results. The model equation scaling has revealed the characteristic length and times scales and the Fourier number as the controlling dimensionless group.
Application of Fish Embryo Assay Using Zebrafish and Oryzias latipes for Toxicity Testing and Deriving Water Quality Criteria
Authors: Kim Lia , An Youn-Joo
Published: December 2024

To protect aquatic organisms in ecosystems, each country and continental union has established guidelines for deriving the water quality standards (WQS) of specific substances. These guidelines mandate the use of acute and chronic toxicity data for fish, which are high-trophic-level organisms. However, due to increasing concerns about animal welfare and experimental ethics, there is a growing need for alternative methods to determine substance toxicity in fish. Fish toxicity tests using early life stages, such as embryos or larvae, have been utilized as alternative methods for adult fish toxicity assays. This review of the WQS guidelines and relevant test protocols confirmed the classification of acute and chronic toxicity in fish assays using different developmental stages. Fish toxicity data derived from exposure periods longer than one week using embryonic- or larval-stage organisms can be considered as indicative of chronic toxicity. There is a high correlation between fish embryo toxicity and adult effects, suggesting that fish embryo toxicity tests with appropriate exposure durations could replace adult fish toxicity tests, addressing experimental animal ethics concerns.
Pollen–Food Allergy Syndrome: Allergens, Clinical Insights, Diagnostic and Therapeutic Challenges
Authors: Haidar Laura , Bănărescu Camelia Felicia , Uța Cristina , Moldovan Sandra Iulia , Zimbru Elena-Larisa , Zimbru Răzvan-Ionuț , Ciurariu Elena , Georgescu Marius , Panaitescu Carmen
Published: December 2024

Pollen–food allergy syndrome (PFAS), also known as oral allergy syndrome, is a common condition affecting individuals sensitized to pollens such as birch, ragweed, and grass. This syndrome arises from immunological cross-reactivity between pollen allergens and structurally similar proteins found in various fruits, vegetables, and nuts. Although typically presenting with mild oral and pharyngeal symptoms, PFAS can occasionally result in severe allergic reactions, underscoring its clinical significance. This review explores the pathophysiology of PFAS, highlighting the molecular mechanisms underlying cross-reactivity and examining the main protein families involved, including those contributing to variations in symptom severity. Current diagnostic approaches, including skin prick testing, specific immunoglobulin E measurements, and component-resolved diagnostics, are discussed. Emerging diagnostic tools and biomarkers with potential to enhance accuracy are also examined. Therapeutic strategies for PFAS primarily focus on symptom management and avoidance of trigger foods. However, novel approaches such as allergen immunotherapy and biologics targeting key immune pathways are gaining traction as potential interventions for more severe or refractory cases. By addressing the diagnostic and therapeutic challenges of PFAS, this paper aims to provide clinicians and researchers with a comprehensive understanding of this condition, fostering improved patient care and the development of innovative treatment strategies.
Characterization of HVSR and VRSR in the Loess Plateau of China Based on Strong-Motion Data
Authors: Li Qi , Bo Jingshan , Peng Da
Published: December 2024

In recent decades, China has collected extensive strong-motion data from the Loess Plateau, which is valuable for understanding the dynamic characteristics of loess sites and the effects of site conditions on seismic motions. The horizontal-to-vertical Fourier spectrum ratio (HVSR) and the horizontal-to-vertical velocity response spectrum ratio (VRSR) are widely used to study site dynamics. This study analyzes strong-motion data from the Loess Plateau to identify key features of the HVSR and VRSR curves. The results show that these spectral ratio curves effectively capture the dynamic behaviors of loess sites, minimizing the influences of earthquake magnitude and propagation path. While the spectral ratio peaks are less affected by magnitude, epicentral distance, and focal depth, they are significantly influenced by site conditions. Conversely, the dominant periods estimated from these curves are strongly influenced by magnitude, epicentral distance, and focal depth. For sites located on the Loess Plateau, the average amplification factor is approximately 3, with a mean predominant period of 0.4 s. These results provide valuable insights into the dynamic characteristics of loess sites and have practical implications for seismic design in the region.
Applicability of Agro-Waste Materials in Structural Systems for Building Construction: A Scoping Review
Authors: Kumbasaroglu Hediye , Kumbasaroglu Atila
Published: December 2024

This article presents the results of a systematic review investigating the potential of agricultural wastes as sustainable and low-carbon alternatives in reinforced concrete (RC) production. Background: The depletion of natural resources and the environmental burden of conventional construction materials necessitate innovative solutions to reduce the carbon footprint of construction. Agricultural wastes, including coconut shells (CSs), rice husk ash (RHA), and palm oil (PO) fuel ash, emerge as promising materials due to their abundance and mechanical benefits. Objective: This review evaluates the potential of agricultural wastes to improve sustainability and enhance the mechanical properties of RC structural elements while reducing carbon emissions. Design: Studies were systematically analyzed to explore the sources, classification, and material properties of agro-wastes (AWs), with a particular focus on their environmental benefits and performance in concrete. Results: Key findings demonstrate that AWs enhance compressive strength, tensile strength, and modulus of elasticity while reducing the carbon footprint of construction. However, challenges such as variability in material properties, limited long-term durability data, and lack of standardized guidelines hinder their broader adoption. Conclusions: AWs hold significant potential as sustainable additives for RC elements, aligning with global sustainability goals. Future research should address material optimization, lifecycle assessments, and regulatory integration to facilitate their mainstream adoption in construction.
Changes in Pupil Size According to the Color of Cosmetic Packaging: Using Eye-Tracking Techniques
Authors: Ko Eui Suk , Kim Jai Neung , Na Hyung Jong , Kim Seong Tae
Published: December 2024

This study examines the relationship between cosmetic packaging color and consumer attention by analyzing changes in pupil size using eye-tracking technology. A controlled experiment with 25 participants (mean age: 24.7 ± 3 years, 14 males and 11 females) was conducted to investigate the impact of eight packaging colors (black, white, blue, yellow, orange, turquoise, pink, and sky blue) on pupil dilation during gaze fixation and movement. Pupil size data were analyzed using SAS 9.4, with T-tests used to determine significant differences across colors. The results revealed that pink packaging elicited significantly larger pupil sizes during fixation, indicating heightened attention, while black, white, blue, and orange led to smaller pupil sizes when fixated, suggesting greater focus on the surrounding environment rather than the packaging. In contrast, yellow and turquoise exhibited no significant differences in pupil size during fixation and movement. Additionally, the study highlights that gaze fixation is a more meaningful indicator of attention than gaze movement, as fixation reflects focused interest in specific stimuli. The findings suggest that pink packaging is most effective in attracting consumer attention, while black, white, blue, and orange are better suited for enhancing focus on the surrounding environment. These insights emphasize the growing importance of packaging design in influencing consumer behavior, particularly through color selection. This study contributes to marketing practices by providing empirical evidence for the visual impact of packaging colors, offering valuable guidance for cosmetic industry practitioners. Future research should expand sample sizes and explore additional packaging attributes, such as shape and material, to derive more comprehensive insights.
Attribution Identification of Runoff Changes Based on the Budyko Elasticity Coefficient Method: A Case Study of the Middle and Upper Reaches of the Jinghe River in the Yellow River Basin
Authors: Wang Xueliang , Li Haolin , Huang Weidong , Wei Lemin , Liu Junfeng , Chen Rensheng
Published: December 2024

The impacts of climate change and human activities on water resources are a complex and integrated process and a key factor for effective water resource management in semi-arid regions, especially in relation to the Jinghe River basin (JRB), a major tributary of the Yellow River basin. The Sen’s slope estimator and the Mann–Kendall test (M–K test) are implemented to examine the spatial and temporal trends of the hydrological factors, while the elasticity coefficient method based on Budyko’s theory of hydrothermal coupling is employed to quantify the degree of runoff response to the various influencing factors, from 1971 to 2020. The results reveal that the runoff at Pingliang (PL), Jingchuan (JC), and Yangjiaping (YJP) hydrological stations shows an obvious and gradual decreasing trend during the study period, with a sudden change in about 1986, while precipitation shows a fluctuating and increasing trend alongside a potential evapotranspiration-induced fluctuating and decreasing trend. Compared to the previous period, a change of −29%, in relative terms, in the runoff at the YJP hydrological station is observed. The interaction of human activities and climate change in the watershed contributes to the sharp decrease in runoff, with precipitation, potential evapotranspiration, and human activities accounting for −14.3%, −15.1%, and 70.6% of the causes of the change in runoff, respectively. Human activities (e.g., construction of water conservancy projects), precipitation, and potential evapotranspiration are the main factors contributing to the change in runoff.
Gas Transport Arising from the Decomposition of Methane Hydrates in the Sediments of the Arctic Shelf to the Atmosphere: Numerical Modeling
Authors: Trimonova Mariia , Baryshnikov Nikolay , Turuntaev Sergey
Published: December 2024

This study investigates the transport of methane released from gas hydrate decomposition through sedimentary layers to quantify its flux into the atmosphere, a critical process given methane’s role as a major greenhouse gas. A novel methodology was developed to model two-phase, unsteady gas flow in regions of hydrate decomposition, incorporating key factors such as relative permeability curves, capillary pressure, hydrostatics, and gas diffusion. Numerical simulations revealed that to achieve a gas front rise rate of 7 m/year, the gas accumulation rate must not exceed 10−8 kg/m3·s. At higher accumulation rates (10−6 kg/m3·s), gas diffusion has minimal impact on the saturation front movement, whereas at lower rates (10−8 kg/m3·s), diffusion significantly affects the front’s behavior. The study also established that the critical gas accumulation rate required to trigger sediment blowout in the hydrate decomposition zone is approximately 10−6 kg/m3·s, several orders of magnitude greater than typical bubble gas fluxes observed at the ocean surface. The proposed model improves the ability to predict the contribution of Arctic shelf methane hydrate decomposition to atmospheric methane concentrations.
Angular Distributions and Polarization of Fluorescence in an XUV Pump–XUV Probe Scheme
Authors: Iorga Cristian , Stancalie Viorica
Published: December 2024

This work provides theoretical calculations of fluorescence angular distribution and polarization within an XUV pump–XUV probe scheme designed for determining ultra-short lifetimes of highly charged heavy ions. The initial pumping leads to a non-zero alignment in the excited levels. After the probing stage, the anisotropies in angular distribution and polarization of subsequent fluorescence are significantly enhanced due to the existence of a previous alignment. Furthermore, two-photon sequential excitation from a ground state with zero angular momentum to a level with angular momentum one by two aligned linearly polarized photon beams is strictly prohibited by the selection rules and may be used as a diagnostic tool to determine beam misalignment. The present approach is based on the density matrix and statistical tensor framework. We provide the analytical form for the alignment parameters caused by successive photoexcitation either with linearly polarized photon beams, or with unpolarized photons. The analytical results can generally be used to compute angular distribution asymmetry parameters and linear polarization of subsequent fluorescence for a large array of atomic systems used in pump–probe experiments.
Parental Stress, Learned Helplessness, and Perceived Social Support in Mothers of Children with Hearing Loss and Mothers of Typically Developing Children
Authors: Shastri Usha , Prakasan Niya , Satheesan Lakshmi , Kumar Kaushlendra , Kalaiah Mohan Kumar
Published: December 2024

Background: Hearing loss in children can have a detrimental impact on their development, thus lowering the psychological well-being of parents. This study examined the amount of parental stress, learned helplessness, and perceived social support in mothers of children with hearing loss (MCHL) and mothers of typically developing children (MTDC), as well as the relationship between various possible contributing factors to parental stress such as learned helplessness and perceived social support. Method: Three questionnaires measured parental stress (Parental Stress Scale; PSS), learned helplessness (Learned Helplessness Scale; LHS), and perceived social support (Perceived Social Support-Friends PSS-Fr and Perceived Social Support-Family PSS-Fa Scale) in 100 MCHL and 90 MTDC. All mothers had normal hearing and children aged 1 to 12 years. Mothers of children with any degree of bilateral sensorineural hearing loss, using hearing aids and/or cochlear implants, were included in the MCHL group. Children with hearing loss did not have any additional disabilities. Results: Parental stress and learned helplessness were not significantly different between the groups. The perceived social support was significantly lower in MCHL as compared to MTDC. Pearson correlation analysis with pooled data from both groups showed a small but significant negative correlation between parental stress and perceived social support. A moderately significant positive correlation existed between learned helplessness and parental stress. The relationship between learned helplessness and perceived social support was negative, being small but significant. Conclusions: The study findings indicate that parental stress was similar in both groups. As perceived social support increased, parental stress and learned helplessness decreased. Thus, the present study findings indicate the need for developing greater social support for MCHL.
Enhancing Li-S Battery Performance with Porous Carbon from Hanji
Authors: Choi Yunju , Lee Jaeyeong , Kim Jong-Pil , Lee Sei-Jin , Jeong Euh Duck , Bae Jong-Seong , Shin Heon-Cheol
Published: December 2024

Hanji-derived porous carbon has been developed and utilized as a cathode material for Li-S batteries, demonstrating exceptional electrochemical performance and stability. The unique porous structure and high surface area of Hanji-based carbon enhanced S utilization and significantly improved the overall efficiency of the battery. The material exhibited excellent electrical conductivity and structural stability, effectively addressing the major challenges of Li-S batteries, such as the polysulfide shuttle effect and active material loss. In addition, flake carbon-coated separators (FCCSs) were integrated into Li-S cells to further enhance their performance, achieving a high initial specific capacity of approximately 1200 mAh/g and maintaining a capacity of 620 mAh/g after 100 cycles. In contrast, cells with conventional polypropylene separators exhibited lower initial capacities (946 mAh/g), which decreased to 366 mAh/g after 100 cycles. FCCSs also demonstrated superior capacity retention and stability under varying charge–discharge rates, maintaining a capacity of 200 mAh/g at 3 C and recovering to 730 mAh/g when the rate was 0.1 C. This study provides valuable insights into the development of sustainable and efficient Li-S battery systems, with Hanji-based carbon and FCCSs emerging as promising components for commercial applications.
The Brettanomyces bruxellensis Contamination of Wines: A Case Study of Moldovan Micro-Winery
Authors: Mitina Irina , Grajdieru Cristina , Sturza Rodica , Mitin Valentin , Rubtov Silvia , Balanuta Anatol , Behta Emilia , Inci Fatih , Hacıosmanoğlu Nedim , Zgardan Dan
Published: December 2024

Brettanomyces bruxellensis yeasts cause wine spoilage by producing volatile phenol compounds with specific off-odors. Assessing the propagation of this species is challenging, especially for micro-wineries. In this study, wines produced in a micro-winery from the grapes of different varieties collected from three PGI regions of Moldova over three years were studied for the presence and infection level of Brettanomyces spoilage yeasts, using traditional microbiological and molecular methods. The results of Brettanomyces infection monitoring in mature wines might speak in favor of the hypothesis that grape berries can be a potential source of B. bruxellensis in wine. The contamination levels of mature wines with respective species fluctuated in accordance with the year of grape cultivation, being the highest during the 2023 vintage. This study shows the potential of applying sequencing analysis for tracking the source of Brettanomyces contamination in wineries.
HDNLS: Hybrid Deep-Learning and Non-Linear Least Squares-Based Method for Fast Multi-Component T1ρ Mapping in the Knee Joint
Authors: Singh Dilbag , Regatte Ravinder R. , Zibetti Marcelo V. W.
Published: December 2024

Non-linear least squares (NLS) methods are commonly used for quantitative magnetic resonance imaging (MRI), especially for multi-exponential T1ρ mapping, which provides precise parameter estimation for different relaxation models in tissues, such as mono-exponential (ME), bi-exponential (BE), and stretched-exponential (SE) models. However, NLS may suffer from problems like sensitivity to initial guesses, slow convergence speed, and high computational cost. While deep learning (DL)-based T1ρ fitting methods offer faster alternatives, they often face challenges such as noise sensitivity and reliance on NLS-generated reference data for training. To address these limitations of both approaches, we propose the HDNLS, a hybrid model for fast multi-component parameter mapping, particularly targeted for T1ρ mapping in the knee joint. HDNLS combines voxel-wise DL, trained with synthetic data, with a few iterations of NLS to accelerate the fitting process, thus eliminating the need for reference MRI data for training. Due to the inverse-problem nature of the parameter mapping, certain parameters in a specific model may be more sensitive to noise, such as the short component in the BE model. To address this, the number of NLS iterations in HDNLS can act as a regularization, stabilizing the estimation to obtain meaningful solutions. Thus, in this work, we conducted a comprehensive analysis of the impact of NLS iterations on HDNLS performance and proposed four variants that balance estimation accuracy and computational speed. These variants are Ultrafast-NLS, Superfast-HDNLS, HDNLS, and Relaxed-HDNLS. These methods allow users to select a suitable configuration based on their specific speed and performance requirements. Among these, HDNLS emerges as the optimal trade-off between performance and fitting time. Extensive experiments on synthetic data demonstrate that HDNLS achieves comparable performance to NLS and regularized-NLS (RNLS) with a minimum of a 13-fold improvement in speed. HDNLS is just a little slower than DL-based methods; however, it significantly improves estimation quality, offering a solution for T1ρ fitting that is fast and reliable.
Observational Diagnostics: The Building Block of AI-Powered Visual Aid for Dental Practitioners
Authors: Raj Ruchika , Rajappa Ravikumar , Murthy Vijayalakshmi , Osanlouy Mahyar , Lawrence Daniel , Ganhewa Mahen , Cirillo Nicola
Published: December 2024

Artificial intelligence (AI) has gained significant traction in medical image analysis, including dentistry, aiding clinicians in making timely and accurate diagnoses. Radiographs, such as orthopantomograms (OPGs) and intraoral radiographs, along with clinical photographs, are the primary imaging modalities employed for AI-powered analysis in the dental field. In this review, we discuss the most recent research and product developments concerning the clinical application of AI as a visual aid in dentistry and introduce the concept of Observational Diagnostics (ODs) as a structured method to standardise image analysis. ODs serve as foundational elements for AI-driven diagnostic aids and have the potential to improve the consistency and reliability of diagnostic data used in treatment planning. We provide illustrative examples to demonstrate how ODs not only represent a significant advancement towards more precise diagnostic aids but also provide the basis for the generation of evidence-based treatment recommendations. These OD-based algorithms have been integrated into chairside AI applications to streamline clinical workflows to improve consistency, accuracy, and efficiency.
Insecticidal Action of Local Isolates of Entomopathogenic Fungi Against Bactrocera oleae Pupae
Authors: Mantzoukas Spiridon , Margaritis Alexandros , Sourouni Thomais , Georgopoulou Vasiliki , Zarmakoupi Chrysanthi , Papantzikos Vasileios , Lagogiannis Ioannis , Eliopoulos Panagiotis A. , Patakioutas George
Published: December 2024

In this work, the ability of certain entomopathogenic fungi to control the olive fruit fly Bactrocera oleae (Diptera: Tephritidae), which significantly affects olive cultivation, was assessed. First, entomopathogenic fungi that often contribute to reducing pests, as well as B. oleae, were sought out. Puparia of B. oleae were collected from oil mills, and soil samples were collected from various olive grove regions of Greece. These soils were used as the substrate in which the effect of the entomopathogenic fungi on the B. oleae pupae was studied. In addition, the same treatments were studied in non-soil conditions. The results show that certain known entomopathogenic fungi are able, in their natural environment, to kill B. oleae pupae to a significant extent. The survival time for adults (days) was lower in the presence of Beauveria bassiana (Hypocreales: Cordycipitaceae), at 13.20 in the soil (5.56 ± 0.42) and non-soil (6.76 ± 0.46) conditions, compared to that of the control in soil (9.83 ± 083) and non-soil (9.90 ± 0.72) conditions. This is encouraging for Mediterranean regions where the presence of B. oleae significantly affects olive cultivation, while quality olive oil is in high demand.