bluuebunny/crossref_metadata_2025 huggingface dataset:
Advancing Environmental Sustainability in Healthcare: Review on Perspectives from Health Institutions
Authors: Badanta Bárbara , Porcar Sierra Anabel , Fernández Saray Torner , Rodríguez Muñoz Francisco Javier , Pérez-Jiménez José Miguel , Gonzalez-Cano-Caballero María , Ruiz-Adame Manuel , de-Diego-Cordero Rocío
Published: January 2025

Hospitals play a key role in promoting sustainable and healthy living. Few studies have taken this perspective into account. Therefore, we explored the role of hospital institutions in the development and implementation of sustainability strategies linked to the provision of health services. Applying the PRISMA guidelines, we conducted a systematic review of the PubMed, Scopus, CINAHL, PsycINFO and Web of Science databases and the references of the resulting articles in Mendeley Desktop v1.19.8. Articles peer-reviewed between 2016 and 2023 were eligible if they analyzed sustainable healthcare, activities derived from services provided and professional involvement. From the 27 articles that constituted the final sample, two themes were identified: (a) environmental sustainability in healthcare and (b) involvement of healthcare professionals in environmental sustainability. Proposals for sustainable actions to reduce the environmental impact of healthcare related to the use of natural resources, sustainable food, sustainable transport and waste management were reviewed. The role of healthcare workers, their attitudes and perceptions of sustainability and global health improvement were investigated. Reducing health pollution involves addressing excessive or inappropriate consumption of resources and minimizing the environmental footprint of healthcare activities. The different contexts reveal the heterogeneity of the sustainability interventions existing in the healthcare industry, both in terms of subject matter and in terms of the number of publications from each country.
Explainable Security Requirements Classification Through Transformer Models
Authors: Petrillo Luca , Martinelli Fabio , Santone Antonella , Mercaldo Francesco
Published: January 2025

Security and non-security requirements are two critical issues in software development. Classifying requirements is crucial as it aids in recalling security needs during the early stages of development, ultimately leading to enhanced security in the final software solution. However, it remains a challenging task to classify requirements into security and non-security categories automatically. In this work, we propose a novel method for automatically classifying software requirements using transformer models to address these challenges. In this work, we fine-tuned four pre-trained transformers using four datasets (the original one and the three augmented versions). In addition, we employ few-shot learning techniques by leveraging transfer learning models, explicitly utilizing pre-trained architectures. The study demonstrates that these models can effectively classify security requirements with reasonable accuracy, precision, recall, and F1-score, demonstrating that the fine-tuning and SetFit can help smaller models generalize, making them suitable for enhancing security processes in the Software Development Cycle. Finally, we introduced the explainability of fine-tuned models to elucidate how each model extracts and interprets critical information from input sequences through attention visualization heatmaps.
Multi-Classification Using YOLOv11 and Hybrid YOLO11n-MobileNet Models: A Fire Classes Case Study
Authors: Alkhammash Eman H.
Published: January 2025

Fires are classified into five types: A, B, C, D, and F/K, according to the components involved in combustion. Recognizing fire classes is critical, since each kind demands a unique suppression approach. Proper fire classification helps to decrease the risk to both life and property. The fuel type is used to determine the fire class, so that the appropriate extinguishing agent can be selected. This study takes advantage of recent advances in deep learning, employing YOLOv11 variants (YOLO11n, YOLO11s, YOLO11m, YOLO11l, and YOLO11x) to classify fires according to their class, assisting in the selection of the correct fire extinguishers for effective fire control. Moreover, a hybrid model that combines YOLO11n and MobileNetV2 is developed for multi-class classification. The dataset used in this study is a combination of five existing public datasets with additional manually annotated images, to create a new dataset covering the five fire classes, which was then validated by a firefighting specialist. The hybrid model exhibits good performance across all classes, achieving particularly high precision, recall, and F1 scores. Its superior performance is especially reflected in the macro average, where it surpasses both YOLO11n and YOLO11m, making it an effective model for datasets with imbalanced classes, such as fire classes. The YOLO11 variants achieved high performance across all classes. YOLO11s exhibited high precision and recall for Class A and Class F, achieving an F1 score of 0.98 for Class A. YOLO11m also performed well, demonstrating strong results in Class A and No Fire with an F1 score of 0.98%. YOLO11n achieved 97% accuracy and excelled in No Fire, while also delivering good recall for Class A. YOLO11l showed excellent recall in challenging classes like Class F, attaining an F1 score of 0.97. YOLO11x, although slightly lower in overall accuracy of 96%, still maintained strong performance in Class A and No Fire, with F1 scores of 0.97 and 0.98, respectively. A similar study employing MobileNetV2 is compared to the hybrid model, and the results show that the hybrid model achieves higher accuracy. Overall, the results demonstrate the high accuracy of the hybrid model, highlighting the potential of the hybrid models and YOLO11n, YOLO11m, YOLO11s, and YOLO11l models for better classification of fire classes. We also discussed the potential of deep learning models, along with their limitations and challenges, particularly with limited datasets in the context of the classification of fire classes.
Insights into a Renowned Fishery: Distinct Spatial Patterns, Environmental Predictors and Species Associations of Trophy-Class Spotted Seatrout (Cynoscion nebulosus [Cuvier 1830])
Authors: Eckert Catherine , Briell Elliot , Getz Ethan
Published: January 2025

Spotted Seatrout Cynoscion nebulosus (hereafter, trout) are one of the most heavily targeted sportfish along the Gulf coast. With recent regulation changes intended to reduce the harvest mortality of trout and promote a healthy trophy-class trout fishery in Texas, understanding differences between trophy-class (>28 in, 712 mm) and adult-class (12–28 in, 305–710) trout has become especially relevant for fisheries managers. Here, we leveraged a long-term (1983–2023) gill net dataset collected by the Texas Parks and Wildlife Department to (1) compare the distribution of size classes both spatially and temporally, (2) determine environmental drivers of the abundance of each size class, and (3) compare the species associated with each size class in the Upper Laguna Madre. Kernel density distribution estimates, hot spot analyses, and space–time pattern mining methods were used to compare the distribution of the two size classes of trout spatially and temporally. Boosted regression trees (BRTs) were used to determine the environmental drivers of abundance, and multivariate analyses were utilized to compare the species associated with each size class. Trophy-class trout exhibited a greater degree of spatial clustering than adult-class trout, with abundance peaks concentrated along specific shorelines in Baffin Bay. Significant changes in trophy-class trout distribution over time were also found, indicating that the spatial clustering of trophy-class trout has intensified over the past four decades. Salinity and bay were strong predictors for the abundance of both size classes, with peak abundances of both trophy-class and adult-class trout in Baffin Bay and its tertiary bays and at salinities of 10–30 and above 60 psu. Dissolved oxygen (DO) concentration and temperature were good predictors of the abundance of trophy-class trout, which were most abundant at temperatures of 25–30 °C and DO levels of 5–8 mg/L. Depth, turbidity, and season were good predictors of the abundance of adult-class trout, which were most abundant at increased depths (>2 m), low-to-moderate turbidity (~125 NTU), and in the spring season (April–June). Multivariate analyses revealed differences in the communities associated with trophy-class and adult-class trout occurrence, with species such as Black Drum Pogonias cromis, Striped Mullet Mugil cephalus, and Ladyfish Elops saurus more abundant in samples associated with trophy-class trout. These results indicate that trophy-class trout display unique spatial patterns and species associations and that their abundance may be driven by a distinct set of hydrological and biotic factors, which may have important implications for the management of trophy fisheries.
Kluyveromyces lactis and Saccharomyces cerevisiae for Fermentation of Four Different Coffee Varieties
Authors: Abreu Danilo José Machado de , Nadaleti Denis Henrique Silva , Andrade Rafaela Pereira , Santos Tamara Leite dos , Tavares Dérica Gonçalves , Botelho Cesar Elias , Resende Mário Lúcio Vilela de , Duarte Whasley Ferreira
Published: January 2025

One strategy for adding unique characteristics and flavors to improve coffee quality is the selection of starter microorganisms. Here, we aimed to evaluate the effect of Saccharomyces cerevisiae LNFCA11 and Kluyveromyces lactis B10 as starter cultures on the quality of four different wet-fermented coffee varieties. Microbiological, molecular, and chemical analyses were carried out to identify yeast, bacteria, volatile compounds, carbohydrates and bioactive compounds in coffee. Sensory analysis was performed by Q-graders certified in coffee. Starter yeasts affected bioactive and volatile compounds as well as sensory descriptors in the coffee varieties. S. cerevisiae CA11 allowed a higher content of trigonelline and chlorogenic acid in MGS Paraíso 2 (P2) and Catuai Amarelo IAC62 (CA62) varieties. K. lactis B10 fermentation resulted in higher chlorogenic acid only on the P2 cultivar and MGS Catucaí Pioneira (CP). In addition, 5-methyl-2-furfuryl alcohol and n-hexadecanoic acid were produced exclusively by yeast fermentation compared to spontaneous fermentation. The coffee cultivars P2 presented more complex sensory descriptors and the attributes of aroma, acidity, and balance when fermented with S. cerevisiae CA11. Sensory descriptors such as lemongrass, citrus, and lemon with honey were related to K. lactis B10. Starter cultures allowed the coffees to be classified as specialty coffees. The fermentation showed that the choice of starter yeast depends on the desired sensory descriptors in the final product.
Physicochemical Profile of Canastra Cheese Inoculated with Starter Cultures of Kluyveromyces lactis and Torulaspora delbrueckii
Authors: Silva Adriele do Amor Divino , Tavares Dérica Gonçalves , Andrade Rafaela Pereira , Santos Tamara Leite dos , Duarte Whasley Ferreira
Published: January 2025

Canastra cheese, an artisanal cheese produced in Serra da Canastra—Brazil, has great cultural importance. Furthermore, this cheese has nutritional and sensory attributes that make it of great economic importance. Its microbiota is composed of different bacteria and yeasts. Some yeasts already isolated by our research group have been characterized as potential probiotics. Probiotic microorganisms have garnered scientific interest, as improvements in the physical, chemical and sensory characteristics of food products have been reported when these microorganisms are used. In this context, the objective of this work was to evaluate Kluyveromyces lactis and Torulaspora delbrueckii, which were previously isolated from Canastra cheese, as autochthonous starter cultures. Canastra cheese was produced under three different conditions: (1) cheese with “Pingo” (natural starter), (2) cheese with “Pingo” + yeast mixed culture, and (3) cheese with only mixed yeast culture. The results showed that the mixed yeast inoculum significantly influenced the lactic acid bacteria population. Yeast populations remained at around 106 CFU/g after 45 days of maturation. Furthermore, cheeses containing the yeast mixed with inoculum had an initial lactose content reduced by 92.80% compared to cheese produced with “Pingo” (87.70%). The antioxidant activity, evaluated using the ABTS method, showed that cheeses containing the mixed yeast culture had higher percentages of antioxidant activity at 45 days of maturation. The texture profile of the cheeses changed over time. In general, the cheese containing the yeast mixed culture and “Pingo” and the cheese containing “Pingo” had the lowest hardness at 30 days of maturation (5245 and 5404 N, respectively). Among the volatile compounds, 3-methylbutyl octanoate, phenethyl butyrate, phenethyl propionate, isobutyl butanoate and pentyl propionate were found only in cheeses produced with yeast mixed culture. The obtained results demonstrated that the use of autochthones probiotic cultures could improve the cheese characteristics without negatively impacting the traditional physicochemical attributes of Canasta cheese.
Socioeconomic Attributes in the Topology of the Intercity Road Network in Greece
Authors: Tsiotas Dimitrios
Published: January 2025

This paper studies the Greek interregional road network (GRN) using network, statistical, and empirical analysis. The research aims to extract the socioeconomic information embedded in the topology of the GRN and to interpret to what extent this network serves and promotes regional development. The analysis reveals that the topology of the GRN is subject to spatial constraints, relevant to the theoretical model of the lattice network but with some geographically dispersed hub-and-spoke modules. It also reveals that the network structure is described by an adjusted gravitational pattern, with priority given to serving regions according to their population and, secondarily, geographical remoteness, and that its association with regional variables outlines an elementary pattern of “axial development through road connectivity”. Interesting contrasts between metropolitan and non-metropolitan (excluding Attica and Thessaloniki) cases emerge from the study. Overall, this paper highlights the effectiveness of complex network analysis in modeling spatial-economic and, in particular, transportation networks and promotes the network paradigm in transportation research.
Improving Sleep Quality and Well-Being in Institutionalized Older Adults: The Potential of NESA Non-Invasive Neuromodulation Treatment
Authors: Báez-Suárez Aníbal , Báez-Suárez Virginia , Saldanha Laissa , Vílchez-Barrera Martín , Hernández-Pérez Andrea , Medina-Ramírez Raquel
Published: January 2025

Background/Objectives: Ageing is associated with several cognitive, physical, and emotional changes, including a decrease in sleep quality and mental health issues. This study studies NESA (Spanish acronym for Neuromodulación Superficial Aplicada) non-invasive neuromodulation using microcurrents as something that may provide a potential improvement in the quality of sleep and general health of older adults and residents in a healthcare institution. Methods: This observational study recruited 24 people who were residents at a long-term care facility. Participants were divided into two groups: one intervention group, who underwent NESA therapy twice a week for a total of 20 sessions, and a control group, who did not receive this treatment. The outcomes measured include sleep quality (Pittsburgh Sleep Quality Index), diary of sleep, symptoms of depressed mood (Yesavage Geriatric Depression Scale), and quality of life with the World Health Organization Quality of Life-Old (WHOQOL-OLD). Scores were collected at baseline, after 10 and 20 sessions, and 3 months after finishing the treatment. Results: The intervention group exhibited a notable improvement in sleep quality (p = 0.05). Additionally, there were fewer nocturnal awakenings. The quality of life also showed better scores, especially in relation to social relations and physical and mental health, which matches the slight decrease in scores and clinical improvement regarding depressive symptoms. In contrast, the control group demonstrated no improvement in symptoms, and in some cases, there was a worsening of symptoms. Conclusions: Our findings indicate that NESA non-invasive neuromodulation therapy is likely to enhance sleep quality and health-related measures in institutionalized older adults. Despite the limitations of the current study, the results support the potential of NESA microcurrents to enhance the well-being of this population.
Measurement of Dehumanization, Self-Dehumanization, and Empathy as Mediating Factors Among Healthcare Professionals
Authors: Roupa Aikaterini , Patelarou Athina , Giakoumidakis Konstantinos , Fousiani Kyriaki , Miliaraki Marianna , Stratidaki Eirini , Patelarou Evridiki
Published: January 2025

Background: Dehumanization refers to the tendency of individuals or groups to attribute fewer human characteristics to other individuals or groups (referred to as hetero-dehumanization) or to themselves (referred to as self-dehumanization). This phenomenon currently seems to predominate in the medical and nursing professions. Indeed, healthcare environments facilitate latent forms of dehumanization due to their structure, organization, and inherent professional demands. This study aimed to investigate the association between hetero- or self-dehumanization and personality traits of healthcare professionals, as well as the possible key mediating role of empathy in this relationship. Methods: A total of 1150 healthcare employees were recruited for the current study with a mean age of 45.13 years. Data were collected through a questionnaire completed by health professionals. Results: Statistically significant relationships were found between self- and hetero-dehumanization and most personality traits (extraversion, agreeableness, conscientiousness). A mediation analysis revealed that empathy mediates the effects of personality traits on hetero- and self-dehumanization. Conclusions: The present study addresses the vital role of personality traits of healthcare professionals on dehumanizing oneself or patients, offering insights into improving therapeutic relationships through the cultivation of empathy.
Cultural Determinants of Body Image: What About the Menopausal Transition?
Authors: Vincent Coralie , Ménard Alixe , Giroux Isabelle
Published: January 2025

Body image is an important aspect of psychological well-being that is influenced by several biological and psychosocial risk factors. Cultural determinants of body image include the patterns of shared beliefs, values, practices, and social norms within a group that can act as a lens through which a person perceives, compares, and evaluates their body. Women tend to experience higher rates of body dissatisfaction than men, with reproductive milestones such as puberty, pregnancy, and postpartum being windows of vulnerability for body image concerns. The menopausal transition is another reproductive stage of women’s lives that involves major physical changes, psychological challenges, and social pressures that can impact body image negatively. However, the literature on the influence of cultural determinants on the body image of menopausal women is limited. Therefore, this perspective review paper aims to discuss the potential role of cultural determinants in influencing body image satisfaction in women undergoing the menopausal transition. To this end, the relationships between different cultural perspectives and body image around the world are first discussed. Sociocultural influences on body image throughout women’s lifespan and reproductive stages are then presented. Finally, cultural perspectives on menopause and aging and their potential influence on the body image of menopausal women are explored. This paper underscores the importance of considering culture and sociocultural factors when studying body image and highlights the need for further research on the cultural determinants of body image during the menopausal transition.
Effect of Non-Fumigant Nematicides on Reproduction of Recently Detected Meloidogyne Species in Georgia Under Greenhouse Conditions in Tomato
Authors: Poudel Nabin , Torres Luis , Davis Richard F. , Jagdale Ganpati B. , McAvoy Theodore , Chowdhury Intiaz A.
Published: January 2025

Root-knot nematodes (Meloidogyne spp.; RKNs) are among the most destructive soil-borne pathogens affecting tomato production. Recently, aggressive species such as M. enterolobii, M. floridensis, and M. haplanaria have been reported in several tomato fields across the southern United States. Host resistance in tomato, effective against commonly prevalent M. incognita, is ineffective against these emerging species, making chemical nematicides the primary management approach. However, studies on the efficacy of chemical nematicides on these emerging RKN species remain limited. This study evaluated the efficacy of four non-fumigant nematicides—fluazaindolizine, fluensulfone, fluopyram, and oxamyl—on the reproduction of these emerging species and M. incognita. Fluensulfone consistently suppressed nematode reproduction by over 90.0% across all species. Fluopyram reduced reproduction by over 50.0% in most species but was less effective against M. enterolobii, with suppression of only 24.3%. Similarly, fluazaindolizine suppressed egg counts by more than 50.0% across all species except M. enterolobii, where it suppressed only 41.1%. Oxamyl suppressed egg counts in M. floridensis and M. incognita by more than 50.0%, but reductions in M. enterolobii and M. haplanaria were lower at 23.2% and 38.7%, respectively. These results highlight species-specific differences in nematicide efficacy and provide a crucial baseline for future research for the management of specific RKN species.
The Origin, Applications, and Breeding Goals of Jujube in China
Authors: Wu Menghan , Liu Yaoxi , Jiang Tingjian , Liu Yiteng , Chen Zhuo , Wang Xiaofei , Yue Huafeng , Li Fangdong , Zhu Gaopu , Zhang Mengmeng
Published: January 2025

Jujube (Ziziphus jujuba Mill.) is one of the three traditional woody crop species in China, where it originated from the middle and lower reaches of the Yellow River. Jujube is considered one of the oldest cultivated fruit trees species in the world, as its utilization can be traced back to more than 7000 years ago. The jujube has important nutritional, economic, and ecological values, hence it is well received by both planters and consumers. At present, jujube cultivation has spread to more than 48 countries and provides a pathway for Chinese farmers to produce a lucrative cash crop. Jujube is regarded as a superfruit of the future due to its excellent nutritional profile. Social progress and economic shifts leading to the improvement of living standards influence the value of jujube to consumers, who have gradually shifted toward functional foods, while at the same time, consumer desires and environmental pressures change the breeding goals for new jujube varieties. In this review, we summarize the origin, classification, and historical, as well as modern, uses of jujube. We also provide some advice on the establishment of breeding objectives in this new period of jujube development. This review aims to provide useful references for researchers new to jujube, to guide shareholders in the jujube industry, and to formulate breeding objectives for the modern development of elite jujube cultivars.
Role of Endogenous Hormones on Seed Hardness in Pomegranate Fruit Development
Authors: Li Haoxian , Chen Lina , Liu Ruitao , Lu Zhenhua
Published: January 2025

Seed hardness is a unique trait for edibility and an important breeding target for pomegranates. We compared changes in hormones during the development of soft- and hard-seeded varieties in order to identify key hormones and developmental stages that affect seed lignin synthesis and accumulation. During the development of pomegranate seeds, lignin accumulates significantly in the stereid layer, and the degree of lignification is higher in Shandazi than in Huazi cultivars. The results showed that the accumulation of lignin in the stereid layer of the outer pomegranate seed coat is the reason for the differences in seed hardness between the soft-seeded variety and the hard-seeded variety. The hardness of pomegranate seeds was positively correlated with endogenous indole-3-acetic acid (IAA) and jasmonic acid (JA), while it was negatively correlated with cytokinins (CTKs), abscisic acid (ABA), gibberellins (GAs), salicylic acid (SA), and strigolactones (SLs). The highest contents of IAA and JA were 8.615 ng·g−1 and 4.5869 ng·g−1, respectively, in the hard-seeded variety. In the soft-seeded variety, the maximum values of dihydrozeatin (DZ), dihydrozeatin-7-glucoside (DHZ7G), ABA, gibberellin A1 (GA1), SA, and 5-deoxystrigol (5-DS) were 281.82 ng·g−1, 1542.889 ng·g−1, 61.273 ng·g−1, 5.2556 ng·g−1, 21.15 ng·g−1, and 0.4494 ng·g−1, respectively. IAA, CTKs, ABA, GA1, and SA play major roles in the formation of lignin in pomegranate seeds, collectively determining seed hardness.
Prevalence and Factors Associated with Waterborne Diseases in Couffo, Southwestern Benin: The Case of Aplahoué
Authors: Degbey Cyriaque , Houessionon Eunice , de Brouwer Christophe
Published: January 2025

Water-related diseases are among the infectious diseases that represent a major public health challenge in developing countries. This study aimed to assess the prevalence of waterborne diseases and the factors associated with their occurrence in the commune of Aplahoué, located in southwestern Benin. A cross-sectional analytical study was conducted among 125 households selected through simple random sampling in the commune. Data analysis was performed using regression models and Chi-square tests with SPSS version 27.0, considering a p-value below 5% as statistically significant. This study revealed an overall prevalence of waterborne diseases of 45.6% at the household level and 16.6% at the individual level. Malaria was the most prevalent waterborne disease (8.4%), followed by diarrhea (6.3%). Multivariate analysis identified a history of waterborne diseases and hospitalization due to waterborne diseases as significant independent risk factors for the occurrence of new waterborne diseases. It is, therefore, critical to improve access to safe drinking water, promote better hygiene and sanitation practices, and strengthen health education through effective communication to foster behavioral change within the community.
Diabetes Management Using a Patient Navigator in a Native Hawaiian Population: Experiences and Perceptions of the Kilolani Project
Authors: Morgan Nani L. , Lopez Nina A. , Campbell Amanda T. , Cazin Marguerite , Ana Lauralee U. , Lai Jennifer F. , Vawer May , Yess James
Published: January 2025

Native Hawaiians (NHs) are a historically oppressed population disproportionately burdened by diabetes and related complications. The Kilolani Project, a patient navigator-centered, chronic disease management program, targets upstream drivers of health among vulnerable NH adult patients with diabetes within an urban academic safety-net clinic. To investigate the impact of the Kilolani Project, we performed a qualitative study to examine patient perspectives. Our goal is to ensure that their values, needs, and priorities drive future navigator-based strategies and healthcare delivery. Fifteen current Kilolani Project patients participated in one of three focus group sessions. Each session followed a semi-structured format with open-ended questions regarding their experiences with the Kilolani Project, patient navigators, and healthcare in general. Iterative transcript readings and coding revealed seven core themes: (1) Humanistic approach, (2) Trusting relationships, (3) Improved access, (4) Trauma-informed care, (5) Self-efficacy, (6) Resilience, and (7) Ethnic concordance. The Kilolani Project created a safe and culturally relevant experience for NH patients. They felt seen, heard, and valued, which resulted in an improved healthcare experience, engagement, and empowerment. Importantly, trust was the cornerstone to building a provider–patient relationship. Such culturally informed approaches are necessary to close the gap in health disparities faced by our NH communities.
Systematic Analysis of Cotton RING E3 Ubiquitin Ligase Genes Reveals Their Potential Involvement in Salt Stress Tolerance
Authors: Li Hao , Chen Yizhen , Fu Mingchuan , Wang Liguo , Liu Renzhong , Liu Zhanji
Published: January 2025

The Really Interesting New Gene (RING) E3 ubiquitin ligases represent the largest class of E3 ubiquitin ligases involved in protein degradation and play a pivotal role in plant growth, development, and environmental responses. Despite extensive studies in numerous plant species, the functions of RING E3 ligases in cotton remain largely unknown. In this study, we performed systematic identification, characterization, and expression analysis of RING genes in cotton. A total of 514, 509, and 914 RING genes were identified in Gossypium arboretum, G. raimondii, and G. hirsutum, respectively. Duplication analysis indicates that segmental duplication may be the primary mechanism responsible for the expansion of the cotton RING gene family. Moreover, the Ka/Ks analysis suggests that these duplicated genes have undergone purifying selection throughout the evolutionary history of cotton. Notably, 393 G. hirsutum RING genes exhibited differential expression in response to salt stress. The overexpression of the specific C3H2C3 RING gene, GhZFRG1, in Arabidopsis resulted in enhanced tolerance to salt stress. This study contributes to our understanding of the evolution of cotton RING ligases and paves the way for further functional analysis of the RING E3 ligase genes in cotton.
Synergistic Effects of Mistletoe Lectin and Cisplatin on Triple-Negative Breast Cancer Cells: Insights from 2D and 3D In Vitro Models
Authors: Lyu Su-Yun , Meshesha Saporie Melaku , Hong Chang-Eui
Published: January 2025

Triple-negative breast cancer (TNBC) remains a challenging subtype due to its aggressive nature and limited treatment options. This study investigated the potential synergistic effects of Korean mistletoe lectin (Viscum album L. var. coloratum agglutinin, VCA) and cisplatin on MDA-MB-231 TNBC cells using both 2D and 3D culture models. In 2D cultures, the combination of VCA and cisplatin synergistically inhibited cell proliferation, induced apoptosis, and arrested the cell cycle at the G2/M phase. Also, the combination treatment significantly reduced cell migration and invasion. Gene expression analysis showed significant changes in specific genes related to apoptosis (Bax, Bcl-2), metastasis (MMP-2, MMP-9), and EMT (E-cadherin, N-cadherin). Three-dimensional spheroid models corroborated these findings, demonstrating enhanced cytotoxicity and reduced invasion with the combination treatment. Significantly, the 3D models exhibited differential drug sensitivity compared to 2D cultures, emphasizing the importance of utilizing physiologically relevant models in preclinical studies. The combination treatment also reduced the expression of angiogenesis-related factors VEGF-A and HIF-1α. This comprehensive study provides substantial evidence for the potential of VCA and cisplatin combination therapy in TNBC treatment and underscores the significance of integrating 2D and 3D models in preclinical cancer research.
Malus xiaojinensis MxbHLH30 Confers Iron Homeostasis Under Iron Deficiency in Arabidopsis
Authors: Xu Yu , Li Yingnan , Chen Zhuo , Chen Xinze , Li Xingguo , Li Wenhui , Li Longfeng , Li Qiqi , Geng Zihan , Shi Saiyu , Zhang Lihua , Han Deguo
Published: January 2025

Iron stress adversely impacts plants’ growth and development. Transcription factors (TFs) receive stress signals and modulate plant tolerance by influencing the expression of related functional genes. In the present study, we investigated the role of an apple bHLH transcription factor MxbHLH30 in the tolerance to iron stresses. The expression of MxbHLH30 was induced significantly by low-iron and high-iron treatments and MxbHLH30-overexpressed Arabidopsis plants displayed iron-stress-tolerant phenotypes. A determination of physiological and biochemical indexes associated with abiotic stress responses showed that overexpression of MxbHLH30 increased the activities of antioxidant enzymes superoxide dismutase (SOD), peroxidase (POD) and catalase (CAT) in Arabidopsis plants treated with iron stress, and decreased the contents of H2O2 and malondialdehyde (MDA), which contribute to reduce cell membrane lipid peroxidation. Meanwhile, the accumulation of proline in transgenic plant cells increased, regulating cell osmotic pressure. Furthermore, quantitative expression analysis indicated that overexpression of MxbHLH30 improved the expression levels of positive functional genes’ responses to iron stress, improving plant resistance. Interestingly, MxbHLH30 may have the ability to balance the homeostasis of iron and other metal ions for the iron homeostasis of Arabidopsis cell under low-iron environments. This research demonstrates that MxbHLH30 is a key regulator of cell iron homeostasis in Arabidopsis plants under iron deficiency, providing new knowledge for plant resistance regulation.
EPRNG: Effective Pseudo-Random Number Generator on the Internet of Vehicles Using Deep Convolution Generative Adversarial Network
Authors: Fei Chenyang , Zhang Xiaomei , Wang Dayu , Hu Haomin , Huang Rong , Wang Zejie
Published: January 2025

With the increasing connectivity and automation on the Internet of Vehicles, safety, security, and privacy have become stringent challenges. In the last decade, several cryptography-based protocols have been proposed as intuitive solutions to protect vehicles from information leakage and intrusions. Before generating the encryption keys, a random number generator (RNG) plays an important component in cybersecurity. Several deep learning-based RNGs have been deployed to train the initial value and generate pseudo-random numbers. However, interference from actual unpredictable driving environments renders the system unreliable for its low-randomness outputs. Furthermore, dynamics in the training process make these methods subject to training instability and pattern collapse by overfitting. In this paper, we propose an Effective Pseudo-Random Number Generator (EPRNG) which exploits a deep convolution generative adversarial network (DCGAN)-based approach using our processed vehicle datasets and entropy-driven stopping method-based training processes for the generation of pseudo-random numbers. Our model starts from the vehicle data source to stitch images and add noise to enhance the entropy of the images and then inputs them into our network. In addition, we design an entropy-driven stopping method that enables our model training to stop at the optimal epoch so as to prevent overfitting. The results of the evaluation indicate that our entropy-driven stopping method can effectively generate pseudo-random numbers in a DCGAN. Our numerical experiments on famous test suites (NIST, ENT) demonstrate the effectiveness of the developed approach in high-quality random number generation for the IoV. Furthermore, the PRNGs are successfully applied to image encryption, and the performance metrics of the encryption are close to ideal values.
Guium nebulum gen. et sp. nov., a New Cup Moth from Southern China Based on Morphological and Molecular Analysis (Lepidoptera: Zygaenoidea: Limacodidae)
Authors: Wu Jun , Zhao Ting-Ting , Geng Hui , Jin Guang-Ze , Han Hui-Lin
Published: January 2025

A new genus and species of Limacodidae, Guium nebulum gen. et sp. nov., is described based on specimens collected from Guangxi Autonomous Region and Jiangxi Province in China. The new genus shares certain morphological features, such as a well-developed labial palpus, with related genera like Tanvia Solovyev & Witt, 2009; Scopelodes Westwood, 1841; Hyphorma Walker, 1865; and Monema Walker, 1855. However, the new genus can be separated from them by the wing venation and the male genital characteristics. COI molecular marker analysis further supports the monophyly of this new genus, indicating a close relationship with Scopelodes.
A Deep Learning-Based Gunshot Detection IoT System with Enhanced Security Features and Testing Using Blank Guns
Authors: Khan Tareq
Published: January 2025

Although the U.S. makes up only 5% of the global population, it accounts for approximately 31% of public mass shootings. Gun violence and mass shootings not only result in loss of life and injury but also inflict lasting psychological trauma, cause property damage, and lead to significant economic losses. We recently developed and published an embedded system prototype for detecting gunshots in an indoor environment. The proposed device can be attached to the walls or ceilings of schools, offices, clubs, places of worship, etc., similar to smoke detectors or night lights, and they can notify the first responders as soon as a gunshot is fired. The proposed system will help to stop the shooter early and the injured people can be taken to the hospital quickly, thus more lives can be saved. In this project, a new custom dataset of blank gunshot sounds is recorded, and a deep learning model using both time and frequency domain features is trained to classify gunshot and non-gunshot sounds with 99% accuracy. The previously developed system suffered from several security and privacy vulnerabilities. In this research, those vulnerabilities are addressed by implementing secure Message Queuing Telemetry Transport (MQTT) communication protocols for IoT systems, better authentication methods, Wi-Fi provisioning without Bluetooth, and over-the-air (OTA) firmware update features. The prototype is implemented in a Raspberry Pi Zero 2W embedded system platform and successfully tested with blank gunshots and possible false alarms.
Correction: Bouchard et al. A Multisite Non-Inferiority Randomized Controlled Trial of the Efficacy of Cognitive-Behavior Therapy for Generalized Anxiety Disorder Delivered by Videoconference. J. Clin. Med. 2022, 11, 5924
Authors: Bouchard Stéphane , Dugas Michel J. , Belleville Geneviève , Langlois Frédéric , Gosselin Patrick , Robillard Geneviève , Corno Giulia , Marchand André
Published: January 2025

In the original publication [...]
Family Shopping Basket Intervention: A Strategy to Reduce Obesity in Prepubertal Children
Authors: Escartín Rocío , de Peray Beatriz , Couto Yolanda , Martínez-Mejias Abel , Corripio Raquel
Published: January 2025

Background/Objectives: The goal of childhood obesity treatment is to benefit the physical and mental health of children who suffer from it and to prevent complications, improving their quality of life and ensuring adequate development. Family-based interventions are demonstrating positive results, especially in prepubertal children. The aim of our study was to evaluate the effectiveness of a family grocery basket intervention for the treatment of childhood obesity in a Spanish primary care office. Methods: A randomized controlled trial comparing a family grocery basket intervention through the analysis of unhealthy products included in the grocery receipts that families bring to the primary care office, in comparison with the usual interventions. Results: Ninety-one children participated in the study (intervention group: n = 60, control group: n = 31). After one year of follow-up, a relevant weight loss with a decrease of ≥0.5 SDS in the z-IMC was obtained in 60.6% of the total sample. In the intervention group, there was a significant decrease in the number of unhealthy products in the family grocery basket and a lower percentage of hypertension and severe obesity than in the control group. In families in which there was a significant decrease in the consumption of unhealthy products, a higher percentage of weight loss was observed. Conclusions: Intervention in the family grocery basket through receipts is an original, simple and effective tool for family-based treatment in childhood obesity.
Successful Switch to Obinutuzumab in a Rituximab-Intolerant Child with Difficult-to-Treat Idiopathic Nephrotic Syndrome
Authors: Drozynska-Duklas Magdalena , Kranz Anna , Zagozdzon Ilona , Balasz-Chmielewska Irena , Chudzik Ilona , Zurowska Aleksandra
Published: January 2025

Background: Idiopathic nephrotic syndrome (INS) is the most common cause of nephrotic syndrome in children. A hallmark of the disease is the rapid remission of proteinuria following a high dose of steroids. Recurrent disease or steroid dependence are common, leading to a high steroid burden and the introduction of steroid sparing therapy. Anti-CD20 antibodies have been increasingly used with excellent results in complicated INS. Nevertheless, their use can be limited by the occurrence of infusion-related reactions (IRRs). Methods: This report discusses further treatment options for children who are intolerant to RTX and presents the first report of a successful switch to obinutuzumab (OBI) for a child with difficult-to-treat steroid-dependent nephrotic syndrome (SDNS) and RTX intolerance who was unresponsive to a desensitization protocol. Results: A 12-year-old boy with SDNS since the age of 2, was treated with steroids, cyclophosphamide and cyclosporine A (CsA). Because of the prolonged use of calcineurin inhibitors, a course of rituximab (RTX) was planned. Unfortunately, during first infusion, the boy presented with IRR. A desensitization protocol following the first unsuccessful infusion also failed. Facing the risks of long-term cyclosporine therapy, a decision was made to switch to another type of anti-CD20 antibody. Obinutuzumab infusion with a modified premedication scheme was uneventful. Conclusions: Switching therapy to obinutuzumab may be considered an option in nephrotic children who are intolerant to RTX when alternative therapies have been exhausted. The addition of montelukast to premedication and employment of desensitization protocols may decrease the risk of infusion-related reactions to anti-CD20 agents.
An Observational Study of the First 100 Patients Undergoing Nocturnal Every-Other-Day Online Hemodiafiltration: Clinical Outcomes and Patient and Technique Survival
Authors: Maduell Francisco , Escudero-Saiz Víctor Joaquín , Rodas Lida Maria , Cuadrado Elena , Morantes Laura , Arias-Guillen Marta , Fontseré Néstor , Rico Nayra , Broseta José Jesús
Published: January 2025

Background: High-volume online hemodiafiltration (OL-HDF) has proven to be the most efficient dialysis modality and to offer better clinical outcomes in patients on hemodialysis. Longer and more frequent dialysis sessions have demonstrated clinical and survival benefits. Methods: A single-center observational study of the first one hundred patients on nocturnal every-other-day OL-HDF was conducted with the aim of reporting the experience with this treatment schedule and evaluating analytical and clinical outcomes as well as the patient and technique survival. Results: Nocturnal OL-HDF on alternate days was highly accepted, with no adverse symptoms, good clinical tolerance, and maintained active work in 62%. Kt, and the convective volume increased from 67.6 ± 12 L to 105.4 ± 11.7 L, and from 27.1 ± 4.6 L to 48.1 ± 6.4 L, respectively, from the baseline to 24 months. An improved calcium–phosphate balance and blood pressure control were observed, as the use of phosphate binders and antihypertensive medications decreased from 76.7% to 3.3% and from 56.7% to 28.3%, respectively. Furthermore, 58.3% of patients required phosphate supplementation in the dialysis fluid to prevent intradialytic hypophosphatemia. Additionally, doses of iron and erythropoiesis-stimulating agents were reduced. The global patient survival was 94% at the end of the follow-up. It was higher in those on the transplant waiting list, with 98.1% survival compared to 84.6% in non-wait-listed patients at 24 months. The main reason for treatment discontinuation was kidney transplantation, accounting for 78.4% of the 88 withdrawals, while death was the leading cause of discontinuation in non-listed patients (41.6%). Conclusions: Nocturnal every-other-day OL-HDF is a well-tolerated dialysis regimen that offers significant clinical benefits, which may positively impact morbidity and mortality. Additionally, it allows patients to integrate the treatment into their social and occupational lives.
A Review on Cutting-Edge Three-Dimensional Graphene-Based Composite Materials: Redefining Wastewater Remediation for a Cleaner and Sustainable World
Authors: Shahzad Tahreem , Nawaz Sajawal , Jamal Hasan , Shahzad Taiba , Akhtar Farid , Kamran Urooj
Published: January 2025

Three-dimensional (3D) graphene-based composite materials (3D GBCMs) have emerged as promising candidates for addressing critical challenges in water pollution remediation. This review selectively highlights the recent advancements in the application of 3D GBCMs to remove a wide range of contaminants, including heavy metals, dyes, salts, and pharmaceutical residues, from water. They owe their efficacy to their large surface area, interconnected porous structure, and functionalization potential. Three-dimensional GBCMs are promising materials for water filtration, offering capabilities such as heavy metal ion adsorption, the photocatalytic degradation of organic pollutants, and advanced desalination techniques like capacitive deionization (CDI) and solar desalination, thus providing sustainable solutions for obtaining freshwater from saline sources. Additionally, the factors influencing the pollutant removal capacities of 3D GBCMs, such as their material morphology, particle size, and porosity, are briefly discussed. Notably, the effect of the particle size on pollutant removal has not been extensively studied, and this review addresses that gap by exploring it in detail. Future research directions are also proposed, emphasizing the optimization and broader application of 3D GBCMs in environmental remediation. This review aims to provide valuable insights into the design and practical implementation of 3D GBCMs, offering guidance for their continued development in sustainable water treatment.
Evaluation of Extra-High Translucent Dental Zirconia: Translucency, Crystalline Phase, Mechanical Properties, and Microstructures
Authors: Nakai Hiroto , Inokoshi Masanao , Liu Hengyi , Uo Motohiro , Kanazawa Manabu
Published: January 2025

Highly translucent zirconia (TZ) is frequently used in dentistry. The properties of several highly translucent zirconia materials available in the market require an in-depth understanding. In this study, we assessed the translucency, crystalline phase, mechanical properties, and microstructures of three newly developed highly translucent zirconia materials (Zpex 4. m, 4 mol% yttria-stabilized zirconia: 4YSZ; Zpex Smile.m, 5YSZ; ZR Lucent ULTRA, 6YSZ). The translucency parameter (TP) was analyzed using the CIELAB system. X-ray diffraction was conducted for the crystalline phase analysis, followed by Rietveld refinement. A biaxial flexural strength test using the Weibull analysis was performed to evaluate the mechanical properties. Scanning electron microscopy, grain size distribution, and average grain size were used to analyze the microstructures. The TP content of the ZR Lucent ULTRA was the highest among the samples investigated. The Rietveld analysis revealed that the cubic zirconia phase content of the ZR Lucent ULTRA was the highest. The biaxial flexural strength of the ZR Lucent ULTRA was the lowest (622.9 MPa). The average grain size and proportion of large grains (1.0 µm < x) were the highest in ZR Lucent ULTRA. Therefore, extra-high translucent zirconia has the potential for use in anterior monolithic restorations owing to its esthetics and strength.