bluuebunny/crossref_metadata_2025 huggingface dataset:
Evolution of artificial intelligence in healthcare: a 30-year bibliometric study
Authors: Xie Yaojue , Zhai Yuansheng , Lu Guihua
Published: January 2025

Introduction

In recent years, the development of artificial intelligence (AI) technologies, including machine learning, deep learning, and large language models, has significantly supported clinical work. Concurrently, the integration of artificial intelligence with the medical field has garnered increasing attention from medical experts. This study undertakes a dynamic and longitudinal bibliometric analysis of AI publications within the healthcare sector over the past three decades to investigate the current status and trends of the fusion between medicine and artificial intelligence.

Methods

Following a search on the Web of Science, researchers retrieved all reviews and original articles concerning artificial intelligence in healthcare published between January 1993 and December 2023. The analysis employed Bibliometrix, Biblioshiny, and Microsoft Excel, incorporating the bibliometrix R package for data mining and analysis, and visualized the observed trends in bibliometrics.

Results

A total of 22,950 documents were collected in this study. From 1993 to 2023, there was a discernible upward trajectory in scientific output within bibliometrics. The United States and China emerged as primary contributors to medical artificial intelligence research, with Harvard University leading in publication volume among institutions. Notably, the rapid expansion of emerging topics such as COVID-19 and new drug discovery in recent years is noteworthy. Furthermore, the top five most cited papers in 2023 were all pertinent to the theme of ChatGPT.

Conclusion

This study reveals a sustained explosive growth trend in AI technologies within the healthcare sector in recent years, with increasingly profound applications in medicine. Additionally, medical artificial intelligence research is dynamically evolving with the advent of new technologies. Moving forward, concerted efforts to bolster international collaboration and enhance comprehension and utilization of AI technologies are imperative for fostering novel innovations in healthcare.
Superiority of native seed core microbiomes in the suppression of bacterial wilt disease
Authors: Dong Yanling , Gong Jie , Yang Lei , Jiang Qipeng , Wen Chengzhi , Zhang Jidan , Yang Ruiyu , Wang Yao , Dai Yuhao , Gao Gui , Li Shili , Cao Yi , Ding Wei
Published: January 2025

Introduction

Native endophytic microorganisms in tobacco seeds are closely related to their resistance to Ralstonia solanacearum (R. solanacearum) infections. However, the role of the native seed core microbiome in the suppression of bacterial wilt disease (BWD) remains underexplored.

Methods

The characteristics of endophytic bacterial communities in both resistant and susceptible tobacco varieties were characterized using high-throughput sequencing technology.

Results

This study found Paenibacillus as a potential microbial antagonist against BWD based on its significantly greater presence in BWD-resistant tobacco varieties, with a relative abundance that was 83.10% greater in the seeds of resistant tobacco than in those of susceptible varieties. Furthermore, a Paenibacillus strain identified as Paenibacillus odorifer 6036-R2A-26 (P. odorifer 26) was isolated from the seeds of the resistant variety. Following irrigation treatment with P. odorifer 26, the BWD index was reduced by 51.08%. Additionally, this strain exhibited significant growth-promoting effects on tobacco. It significantly increased the fresh weight of the tobacco plants by 30.26% in terms of aboveground weight, 37.75% in terms of underground weight, and 33.97% in terms of aboveground dry weight. This study highlights the critical role of Paenibacillus in tobacco seeds in the suppression of BWD, which may result from its antagonistic and growth-promoting properties.

Discussion

The results of this study revealed differences in the structural characteristics of endophytic bacterial communities between resistant and susceptible tobacco varieties, with groups such as Paenibacillus potentially playing significant roles in resisting BWD. These findings highlight the superiority of seed endophytic microorganisms. In the context of declining plant disease resistance and the spread of bacterial wilt, core endophytic microorganisms in seeds may emerge as a viable option for enhancing the productivity of agricultural ecosystems.
Potential geographical distribution of Cordyceps cicadae and its two hosts in China under climate change
Authors: Chen Junyi , He Donglan
Published: January 2025

Introduction

The fungus Cordyceps cicadae is both edible and medicinal.

Methods

To acquire a thorough comprehension of its distribution in China, two host insects, Macrosemia pieli and Platypleura kaempferi, were selected as biological factors potentially associated with its distribution, the ENMTools program was utilized to ascertain the principal environmental factors affecting the distribution of potentially suitable habitats. The possible geographic distributions in the present as well as in the 2030s, 2050s, and 2070s were then predicted using the optimized MaxEnt model.

Results

The primary environmental variables were soil pH, mean diurnal range, annual precipitation, precipitation seasonality, annual mean temperature and precipitation of the driest month. C. cicadae thrived on steep slopes. and some of which also significantly affect the distribution of its two hosts. Most of the suitable habitats of C. cicadae and M. pieli were currently found in the subtropical monsoon zone. The SSP126, SSP370, and SSP585 scenarios were associated with positive, stable, and unfavorable impacts on the extent of suitable habitats for C. cicadae, respectively, and the suitability of P. kaempferi decreased under three different conditions. The expansion of the C. cicadae was observed in provinces bordering the middle and lower reaches of the Yellow River, as well as in Zhanjiang, Guangdong Province, and northern Yunnan Province. Conversely, its habitat contraction was mainly found in western Guangdong, southern Guangxi, northern Hainan, southwestern Yunnan, and areas bordering eastern Sichuan. The shared contraction regions with its two hosts were primarily located in western Guangdong, southern Guangxi, and southern Sichuan. Moreover, the future centroids were found at higher elevations than the present ones in the provinces of Jiangxi and Hunan.

Discussion

In light of climate change, this research held significance for the conservation and sustainable utilization of C. cicadae.
Neuroinflammation and iron metabolism after intracerebral hemorrhage: a glial cell perspective
Authors: Ju Jia-Jun , Hang Li-Hua
Published: January 2025

Intracerebral hemorrhage (ICH) is the most common subtype of hemorrhagic stroke causing significant morbidity and mortality. Previously clinical treatments for ICH have largely been based on a single pathophysiological perspective, and there remains a lack of curative interventions. Following the rupture of cerebral blood vessels, blood metabolites activate resident immune cells such as microglia and astrocytes, and infiltrate peripheral immune cells, leading to the release of a series of inflammatory mediators. Degradation of hemoglobin produces large amounts of iron ions, leading to an imbalance of iron homeostasis and the production of large quantities of harmful hydroxyl radicals. Neuroinflammation and dysregulation of brain iron metabolism are both important pathophysiological changes in ICH, and both can exacerbate secondary brain injury. There is an inseparable relationship between brain iron metabolism disorder and activated glial cells after ICH. Glial cells participate in brain iron metabolism through various mechanisms; meanwhile, iron accumulation exacerbates neuroinflammation by activating inflammatory signaling pathways modulating the functions of inflammatory cells, and so on. This review aims to explore neuroinflammation from the perspective of iron metabolism, linking the complex pathophysiological changes, delving into the exploration of treatment approaches for ICH, and offering insights that could enhance clinical management strategies.
Analysis of study Global Burden of Disease in 2021: global, regional, and national burden of nutritional deficiency from 1990 to 2021
Authors: Chen Jing , Li Zedong , Liu Hong
Published: January 2025

Background

Nutrient deficiency disorders (NDs) harm growth, causing economic losses. Addressing NDs is a global priority, yet recent data is limited. This study examines latest NDs data across 204 countries and 21 regions from 1990 to 2021.

Methods

Data from the 2021 Global Burden of Disease (GBD) study were used to analyze NDs-related incidence, prevalence, deaths, and disability-adjusted life years (DALYs) at global, national, and regional levels. Joinpoint regression analysis was applied to evaluate temporal trends, with Estimated Annual Percentage Change (EAPC) assessing long-term patterns.

Results

In 2021, the global burden of NDs remained substantial, with a total of 1,845,246,558 cases with an ASPR of 23,858.99 cases per 100,000 individuals (95% UI: 23,445.77–24,320.82). The ASIR was 7,725.1 per 100,000 people (95% UI: 7,404.01–8,109.01), while the ASMR was 3.03 per 100,000 persons (95% UI: 2.69–3.4). Additionally, age-standardized DALYs rate was 657.62 per 100,000 individuals (95% UI: 489.93–869.58). Regionally, areas with low SDI exhibited the greatest ASPR, ASIR, ASDR, and age-standardized DALYs rates, whereas high SDI regions had the lowest rates.

Conclusions

Although global NDs burden has declined from 1990 to 2021, regional and demographic disparities remain. Enhanced healthcare access in high-risk SDI regions is essential to further mitigate NDs's global impact.
Intratumor microbiome-derived butyrate promotes chemo-resistance in colorectal cancer
Authors: Xu Linsheng , Hu Bingde , He Jingli , Fu Xin , Liu Na
Published: January 2025

Introduction

Colorectal cancer (CRC) is a leading cause of cancer-related mortality globally. Although tumor immunotherapy is widely recognized for treating unresectable CRC, challenges such as ineffective immunotherapy and drug resistance remain prevalent. While intratumor microbiome-derived butyrate has been implicated in promoting lung cancer metastasis, its role in CRC chemoresistance is not well understood. This study aimed to explore the relationship between intratumor butyrate and chemoresistance in CRC.

Methods

We performed a comprehensive analysis of the microbiome composition in CRC patients with varying resistance-free survival (RFS) durations, utilizing 16S rRNA sequencing. Furthermore, we assessed the prognostic significance of circulating microbiome DNA (cmDNA) and examined the effects of exogenous butyrate supplementation on the chemosensitivity of CRC cell lines.

Results

Our 16S sequencing analysis revealed a reduction in microbial diversity within tumor samples of patients with resistance, as indicated by metrics such as observed taxonomic units, Shannon, and Simpson indices. Notably, Roseburia and Fusobacteria emerged as prominent biomarkers for the resistance group, whereas Bifidobacterium, Helicobacter, and Akkermansia were identified as biomarkers for the non-resistant group. Utilizing a Lasso regression model, we identified six genera-Roseburia, Helicobacter, Gardnerella, Flavonifractor, Coprococcus, and Anaerostipes-that significantly correlated with recurrence-free survival. Furthermore, both the intratumor microbiome signature and circulating microbiome DNA were effective in accurately predicting CRC resistance. Experimental assays, including CCK8 and wound-healing, demonstrated that intratumor microbiome-derived butyrate enhances the proliferation and migration of HCT15 cells in a time- and concentration-dependent manner. Cell survival analysis further indicated that butyrate treatment significantly increased the IC50 value, suggesting heightened drug resistance in HCT15 cells. Mechanistically, this resistance was attributed to butyrate’s activation of the PI3K-AKT signaling pathway.

Conclusion

Our results suggest that intratumor microbiome-derived butyrate contributes to chemoresistance in colorectal cancer, highlighting the potential prognostic and therapeutic significance of the intratumor microbiome.
Enhanced computerized cognitive remediation therapy improved cognitive function, negative symptoms, and GDNF in male long-term inpatients with schizophrenia
Authors: Zhang Peiyun , Chen Lingyun , Qin Qianqian , Liu Chao , Zhu Haijiao , Hu Wenqing , He Xinyu , Tang Kaihong , Yan Qi , Shen Hongmei
Published: January 2025

Objective

Negative and cognitive symptoms present significant challenges in patients with schizophrenia, and cognitive remediation is a promising approach to alleviate these symptoms. This study aimed to explore the efficacy of computerized cognitive remediation therapy (CCRT) on psychiatric symptoms, cognitive deficits, and serum levels of brain-derived neurotrophic factor (BDNF) and glial cell line-derived neurotrophic factor (GDNF) in patients with schizophrenia.

Materials and methods

Forty male long-term institutionalized inpatients with schizophrenia were assigned to either a CCRT group (n = 20) or a control group (n = 20). The CCRT intervention consisted of 40 individual 40-min sessions over 8 weeks, conducted five times a week. Psychiatric symptoms, cognition, and serum levels of BDNF and GDNF were assessed at baseline, 4 weeks, and 8 weeks.

Results

Compared to the control group, the CCRT group exhibited decreased total Positive and Negative Syndrome Scale and negative subscale scores, as well as increased Montreal Cognitive Assessment and Repeatable Battery for the Assessment of Neuropsychological Status scores. Moreover, improvements in list recall were associated with reduced negative symptoms. Additionally, CCRT ameliorated the decrease in serum GDNF levels in patients with schizophrenia.

Conclusion

The effectiveness of CCRT in alleviating negative symptoms was associated with improvements in list recall, and GDNF may play a role in the observed effects of CCRT in patients with schizophrenia.
The effects of age and other individual factors on radiation induced ESR signals from fingernails
Authors: Azariasl Samayeh , Yasuda Hiroshi
Published: January 2025

Biodosimetry is crucial for assessing ionizing radiation exposure to guide medical responses. Electron spin resonance (ESR) spectroscopy using fingernails can be effectively used for both occupational and public dose assessments in radiological accidents because of their accessibility and ability to retain stable radiation-induced free radicals. However, despite two decades of research, challenges remain in achieving accurate fingernail dosimetry, mainly owing to the variation in ESR signals among individuals. The purpose of this study was to explore inter-individual differences in ESR signals in fingernails to improve the accuracy and reliability of extremity dosimetry. Fingernail samples were collected from 15 participants (age: 11–64 years), irradiated with X-rays (160 kV, 6.3 mA) at 0, 5, 10, and 20 Gy, and measured using ESR spectroscopy. The effects of individual factors, such as age, sex, health condition, and lifestyle, on radiation-induced ESR signals (RIS) were investigated. Younger participants exhibited stronger RIS intensities and a more linear dose–response relationship. The RIS intensity in female samples tended to be higher than that in male samples. Interestingly, the fingernals of middle-aged donors who regularly took vitamin supplements showed significantly higher ESR signal intensities than those of similar-age donors who did not take supplements. Notable reductions in RIS intensity during storage in a freezer were observed only in older donor samples irradiated at higher doses. These findings underscores the importance of considering age and other individual factors in the calibration for fingernail dosimetry.
Centralny Rejestr Wyborców jako element procesu wyborczego w świetle nowelizacji Kodeksu wyborczego z 26 stycznia 2023 roku – teoria a praktyka na przykładzie gmin województwa łódzkiego
Authors: Truszkowski Mikołaj
Published: January 2025

As a result of the amendment to the Electoral Code of January 2023, in order to improve and prevent irregularities in the electoral process, this act was supplemented with provisions regarding the Central Register of Voters. It is a tool containing, among other things, a list of people entitled to vote in the Republic of Poland. It is used in particular to prepare lists of voters and persons entitled to participate in the referendum, and to determine the number of voters. The article presents the ratio legis of introducing this instrument into the Polish electoral law system, data collected in the CRW and its functioning in the municipalities of the Łódź Voivodeship on the example of the 2023 parliamentary elections.
Techniques for Evaluating Airborne Biocrust Diaspores: From Fundamentals to Advanced Approaches
Authors: Oliveira Mateus Fernandes , Maciel-Silva Adaíses Simone
Published: January 2025

Biological soil crusts (biocrusts) are communities which thrive primarily in the upper soil layers of arid and semi-arid environments. Biocrusts produce soil-binding compounds, tolerate extreme conditions, and disperse through both sexual and asexual diaspores via wind, water, or animals. Despite their significance, dispersal mechanisms involving airborne diaspores in biocrusts remain largely unexplored and poorly understood. This review provides an overview of techniques, from basic to advanced, to help researchers investigate these often-overlooked aspects of biocrust ecology. We discuss both passive and active methods for sampling airborne organisms, highlighting their potential in studies of biocrust organisms. We present traditional techniques, such as microscope glass slides coated with adhesive substances, as well as more advanced equipment like Rotorods. For organism identification, we explore traditional morphological methods, but also introduce more modern approaches, such as metabarcoding, which allow for the simultaneous study of multiple organism groups. This review underscores the potential of these methods to enhance our understanding of the aerobiology of biocrusts. By shedding light on these dispersal dynamics, this review aims to support future research and foster advancements in biogeography, ecosystem restoration, and conservation strategies.
Decoupling and Collaboration: An Intelligent Gateway-Based Internet of Things System Architecture for Meat Processing
Authors: Liu Jun , Zhou Chenggang , Wei Haoyuan , Pi Jie , Wang Daoying
Published: January 2025

The complex multi-stage process of meat processing encompasses critical phases, including slaughtering, cooling, cutting, packaging, warehousing, and logistics. The quality and nutritional value of the final meat product are significantly influenced by each processing link. To address the major challenges in the meat processing industry, including device heterogeneity, model deficiencies, rapidly increasing demands for data analysis, and limitations of cloud computing, this study proposes an Internet of Things (IoT) architecture. This architecture is centered around an intelligently decoupled gateway design and edge-cloud collaborative intelligent meat inspection. Pork freshness detection is used as an example. In this paper, a high-precision and lightweight pork freshness detection model is developed by optimizing the MobileNetV3 model with Efficient Channel Attention (ECA). The experimental results indicate that the model’s accuracy on the test set is 99.8%, with a loss function value of 0.019. Building upon these results, this paper presents an experimental platform for real-time pork freshness detection, implemented by deploying the model on an intelligent gateway. The platform demonstrates stable performance with peak model memory usage under 600 MB, average CPU utilization below 20%, and gateway internal response times not exceeding 100 ms.
Quantifying and Mapping the Impact of Construction Land Expansion on Cultivated Land Fragmentation—A Case Study of Fuqing City, China
Authors: Yang Xiaoran , Zheng Xiping , Yu Xinyang
Published: January 2025

To ensure the sustainable utilization of cultivated land resources, it is essential to quantify and map the characteristics of construction land and cultivated land and analyze the mechanisms by which construction land expansion affects cultivated land. However, few studies have been conducted focusing on this issue. This study integrated morphological spatial pattern analysis, spillover effect analysis, landscape pattern analysis, and a land use transition monitoring method to investigate the characteristics of construction land expansion and cultivated land fragmentation. Fuqing City of China was selected as the case study area for demonstration. The results demonstrated that the expansion of construction land resulted in fragmented patterns within the cultivated land landscape: (1) The large core area of cultivated land was subdivided into smaller core areas during 2000–2020, while the construction land exhibited a tendency towards aggregation and a spillover effect; (2) The expansion rate of the construction land in the study area accelerated, while the extent of the cultivated land decreased; (3) Cultivated land fragmentation intensified as landscape aggregation weakened, leading to an expansion in the agglomeration of construction land. The highlights of this study are: (1) examining the characteristics of construction land expansion and cultivated land fragmentation from morphological and geospatial perspectives; (2) categorizing the core areas of cultivated land based on their size to facilitate the analysis of factors contributing to cultivated land fragmentation. The findings in this study can be used to develop models to predict future patterns of cultivated and construction land to provide suggestions for landscape planning.
SMC-YOLO: A High-Precision Maize Insect Pest-Detection Method
Authors: Wang Qinghao , Liu Yongkang , Zheng Qi , Tao Rui , Liu Yong
Published: January 2025

Maize is an excellent crop with high yields and versatility, and the extent and frequency of pest outbreaks will have a serious impact on maize yields. Therefore, helping growers accurately identify pest species is important for improving corn yields. Thus, in this study, we propose to use a pest detector called SMC-YOLO, which is proposed using You Only Look Once (YOLO) v8 as a reference model. First, the Spatial Pyramid Convolutional Pooling Module (SPCPM) is utilized in lieu of the Spatial Pyramid Pooling-Fast (SPPF) to enrich the diversity of feature information. Subsequently, a Multi-Dimensional Feature-Enhancement Module (MDFEM) is incorporated into the neck network. This module serves the purpose of augmenting the feature information associated with pests. Finally, a cross-scale feature-level non-local module (CSFLNLM) is incorporated in front of the detector head, which improves the global perception of the detector head. The results showed that SMC-YOLO achieved excellent results in several metrics, with its F1 Score (F1), mean Average Precision (mAP) @0.50, mAP@0.50:0.95 and mAP@0.75 reaching 83.18%, 86.7%, 60.6% and 70%, respectively, outperforming YOLOv11. This study provides a more reliable method of pest identification for the development of smart agriculture.
Rapid Identification of Saline–Alkali Stress-Tolerant Peanut Varieties Based on Multimodal Data
Authors: Zhang Fan , Zhao Longgang , Guo Tingting , Wang Ziyang , Lou Peng , Li Juan
Published: January 2025

The cultivation of saline–alkali-tolerant peanut (Arachis hypogaea L.) varieties can effectively increase grain yield in saline–alkali land. However, traditional assessment methods are often cumbersome and time consuming. To rapidly identify saline–alkali stress-tolerant peanut varieties, this research proposed a saline–alkali stress tolerance evaluation method based on deep learning and multimodal data. Specifically, the research first established multimodal datasets for peanuts at different growth stages and constructed a saline–alkali stress score standard based on unsupervised learning. Subsequently, a deep learning network called BO-MFFNet was built and its structure and hyperparameters were optimized by the Bayes optimization (BO) algorithm. Finally, the point prediction of the saline–alkali stress score were carried out by using the Gaussian process regression model. The experimental results show that the multimodal method is superior to the single-modal data and the BO algorithm significantly improves the performance of the model. The root mean squared error and relative percentage deviation of the BO-MFFNet model are 0.089 and 3.669, respectively. The model effectively predicted the salt–alkali stress tolerance of five varieties, and the predicted results were Huayu25, Yuhua31, Yuhua33, Yuhua32, and Yuhua164 from high to low. This research provides a new method for assessing crop tolerance under extreme environmental stress.
The Role of Organic Farming in Reducing Greenhouse Gas Emissions from Agriculture in the European Union
Authors: Bocean Claudiu George
Published: January 2025

Agriculture remains a key source of greenhouse gas (GHG) emissions within the European Union, posing substantial obstacles to achieving climate objectives and fostering sustainable development. On this background, organic farming stands out as a viable alternative, offering significant potential for reducing emissions. This study explores the impact of expanding organic farming on GHG emissions in the EU agricultural sector. The empirical research examines the connection between organic farming practices and GHG emission levels using structural equation modeling, complemented by Holt and ARIMA forecasting models, to project future trends based on expected growth in organic farmland. The findings highlight a robust negative influence (p < 0.001), demonstrating that organic farming practices are associated with tangible reductions in emissions. Forecasting analyses further reinforce this, predicting considerable declines in GHG emissions (by almost 14 percent below the level of 2008) as organic farming continues to expand for over 23% of agricultural land by 2035, according to the projections in this research. These insights underscore the critical role of organic farming in advancing the EU’s climate ambitions. The study concludes that broader adoption of organic practices offers a practical and impactful pathway for building a more sustainable agricultural system while mitigating environmental harm across member states.
The Renaissance of Polyamines: New Roles in Crop Yield and Quality Properties in Freshly Fruit
Authors: Puente-Moreno Jenifer , Garrido-Auñón Fernando , García-Pastor María E. , Valero Daniel , Serrano María
Published: January 2025

Polyamines (PAs) are low-molecular-weight compounds that contain amino groups. PAs are present in a variety of organisms, including plants, animals and microorganisms. In plants, the main PAs are putrescine (PUT), spermidine (SPD) and spermine (SPM). They play crucial physiological roles in plant development, including flowering, fruit set, growth, ripening and metabolic processes. In addition, PAs are components of the diet and have a role in health and disease. Furthermore, PAs have been demonstrated to help overcome the negative effects of adverse environmental factors of both biotic and abiotic stresses. Thus, the main objective of this review was to examine the recent literature regarding the mentioned effects of PAs apart from the impact of preharvest PAs treatments, applied at different stages of fruit development, on fresh fruit crop yield and fruit quality properties at harvest, and in their maintenance during storage, with a special emphasis on the fruit content in bioactive compounds with antioxidant activity. Moreover, this review addressed the impact of PAs on other physiological processes affecting crop yield such as flowering and fruit set.
Identification and Analysis of Melon (Cucumis melo L.) SHMT Gene Family Members and Their Functional Studies on Tolerance to Low-Temperature Stress
Authors: Liu Yanmin , He Dandan , Wu Yizhou , Zhao Kangqi , Yang Changyi , Zhong Yulu , Yang Liuyang , Niu Haiyue , Liu Sushuang
Published: January 2025

Melon (Cucumis melo L.) is a significant cash crop globally and is cherished for its sweet and flavorful fruits, as well as its high nutritional values. However, its yield and quality are limited by various factors, including drought, salinity, and low temperatures. Low temperatures are one of the primary factors influencing the growth and development of melons, diminishing the viability, germination, and growth rate of melon seeds. Concurrently, low temperatures also reduce light absorption efficiency and fruit yields, thereby affecting melon growth and development. Serine hydroxymethyltransferase (SHMT), a conserved phosphopyridoxal-dependent enzyme, plays a crucial role in plant resistance to abiotic stressors. In this study, eight CmSHMT family genes were identified from the melon genome. We predicted their chromosomal locations, physicochemical properties, gene structures, evolutionary relationships, conserved motifs, cis-acting elements of promoters, and tissue-specific expression patterns. The expression levels of CmSHMT family genes in response to low-temperature stress was then analyzd using qRT-PCR. The phylogenetic results indicated that these CmSHMT genes were classified into four subfamilies and were unevenly distributed across five chromosomes, with relatively high conservation among them. Furthermore, our investigation revealed that the promoter regions of the CmSHMT family genes contain many cis-acting elements related to phytohormones, growth, and various stress responses. The relative expression levels of CmSHMT3, CmSHMT4, CmSHMT6, and CmSHMT7 were higher under low-temperature stress compared to the control group. Notably, the promoter region of CmSHMT3 contains cis-acting elements associated with low-temperature response (LTR) and abscisic acid response (ABRE). It is suggested that the mechanism through which CmSHMT3 responds to low-temperature stress treatments may be associated with hormonal regulation. These findings provide a foundation for the further exploration of CmSHMT family genes in melon and their functional roles in response to low-temperature stress, and they provide a theoretical basis for the targeted breeding of superior melon varieties with enhanced tolerance to low temperatures.
Effects of Dietary Tea Polyphenols on the Growth, Antioxidant Status, Immune Function, and Intestinal Microbiota of Largemouth Bass (Micropterus salmoides)
Authors: Yang Zixin , Su Qiuwen , Yang Jiafa , Li Zhijun , Lan Shanren , Jia Xu , Ouyang Paihuai , Tang Huijuan
Published: January 2025

This research aimed to explore the impact of tea polyphenol (TP) supplementation on the development, antioxidant properties, immune responses, and gut wellness in largemouth bass (Micropterus salmoides, LMB). Four diets with varying levels of TPs (0.00%, 0.02%, 0.04%, and 0.08%) were devised to feed LMB with an initial weight of 4.3 ± 0.02 g for 56 days, among which the intermittent feeding (IF) group was fed a diet supplemented with TP8 for 7 days, followed by a basal diet for another 7 days, and this was repeated until the end (56th day). The results demonstrated that supplementation with 0.04% or 0.08% TPs in the diet could reduce the crude lipid content and increase the crude protein content of LMB (p < 0.05). The levels of total cholesterol (CHO) and low-density lipoprotein (LDL) in the serum significantly decreased with the addition of 0.08% dietary TPs to the diet (p < 0.05). Dietary TPs can stimulate the activities of antioxidant enzymes such as superoxide dismutase (SOD) and catalase (CAT) and enhance the antioxidant capacity of LMB (p < 0.05). The activities of immune enzymes such as acid phosphatase (ACP) were increased to improve the immune response via the addition of TPs (p < 0.05). Supplementation with 0.02% and 0.04% TPs reduced liver fatty infiltration and alleviated hepatocyte damage. Compared with the control diet, dietary TPs significantly increased villus height (VH), villus width (VW), and lipase (LPS) activity in the intestine (p < 0.05), and supplementation with 0.04% TPs significantly increased muscular layer thickness (MT) (p < 0.05). With the increase in dietary TPs, distinct differences were observed in the intestinal microbial composition and the relative abundance of potential pathogens, especially Clostridiaceae, which decreased, along with the enrichment of pathways related to metabolism, including amino acid metabolism, carbohydrate metabolism, and lipid metabolism. Additionally, intermittent feeding could alleviate the adverse effects caused by a high dosage. In conclusion, dietary TPs of LMB could enhance antioxidant capacity and immunity and improve intestinal health, and intermittent feeding could mitigate the adverse effects caused by a high dosage.
Prevalence of Reasons for Tooth Extraction in Small- and Medium-Breed Dogs
Authors: Kim Chun-Geun , Kwon Daehyun , Lee Kyuyoung , Kim Se Eun , Jo Hyun Min
Published: January 2025

As the life span of companion animals increases and their owners’ concern for their quality of life increases, interest in dental diseases has also gained attention. While many studies have explored oral diseases in general, research on small-breed dogs remains limited. Therefore, in this study, we analyzed various diseases that led to tooth extraction in small- and medium-breed dogs. A study involving 2201 client-owned small- and medium-breed dogs was conducted. All dogs were categorized by sex, age, breed, and tooth position. Teeth were classified into untreated, missing, or extracted categories. For extracted teeth, 14 causes were identified. The results revealed that periodontal disease was the primary cause of tooth extractions, particularly in older dogs and small breeds. In addition to periodontal disease, various other diseases that led to tooth extraction were identified. For these other diseases, the number of extracted teeth increased with age, and brachycephalic breeds exhibited higher extraction rates. The study emphasizes the need for personalized oral care and further research into other contributing factors such as diet and genetics to better understand and manage oral health in dogs. It also offers valuable insights into the broader patterns of tooth extraction associated with various dental diseases.
Plant-Based Antigen Production Strategy for SARS-CoV-2 Nucleoprotein and RBD and Its Application for Detection of Antibody Responses in COVID-19 Patients
Authors: Takova Katerina , Tonova Valeria , Minkov Ivan , Mardanova Eugenia S. , Ravin Nikolai V. , Kotsev Stanislav , Pishmisheva Maria , Zahmanova Gergana
Published: January 2025

During the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, the development of efficient serological tests for monitoring the dynamics of the disease as well as the immune response after illness or vaccination was critical. In this regard, low-cost and fast production of immunogenic antigens is essential for the rapid development of diagnostic serological kits. This study assessed the plant-based production of nucleoprotein (N) of SARS-CoV-2 and chimeric receptor-binding domain (RBD) of SARS-CoV-2 presented by hepatitis E virus capsid (HEV/RBD) and validation of the plant-derived proteins as diagnostic antigens for serological tests. The target proteins were expressed in and purified from Nicotiana benthamiana plants. The resulting yield of chimeric HEV/RBD protein reached 100 mg/kg fresh weight and 30 mg/kg fresh weight for N protein. The purified N protein and HEV/RBD protein were used to develop an indirect enzyme-linked immunosorbent assay (iELISA) for the detection of antibodies to SARS-CoV-2 in human sera. To validate the iELISA tests, a panel of 84 sera from patients diagnosed with COVID-19 was used, and the results were compared to those obtained by another commercially available ELISA kit (Dia.Pro D. B., Sesto San Giovanni, Italy). The performance of an HEV/RBD in-house ELISA showed a sensitivity of 89.58% (95% Cl: 75.23–95.37) and a specificity of 94.44% (95% Cl: 76.94–98.2). Double Recognition iELISA based on HEV/RBD and N protein is characterized by a lower sensitivity of 85.42% (95% Cl: 72.24–93.93) and specificity of 94.44% (95% Cl: 81.34–99.32) at cut-off = 0.154, compared with iELISA based on HEV/RBD. Our study confirms that N and fusion HEV/RBD proteins, which are transiently expressed in plants, can be used to detect responses to SARS-CoV-2 in human sera reliably. Our research validates the commercial potential of using plants as an expression system for recombinant protein production and their application as diagnostic reagents for serological detection of infectious diseases, hence lowering the cost of diagnostic kits.
Towards the Sustainable Removal of Heavy Metals from Wastewater Using Arthrospira platensis: A Laboratory-Scale Approach in the Context of a Green Circular Economy
Authors: Malletzidou Lamprini , Kyratzopoulou Eleni , Kyzaki Nikoletta , Nerantzis Evangelos , Kazakis Nikolaos A.
Published: January 2025

The use of living Arthrospira platensis (A. platensis) cultures emerges as a promising green solution for the bioremediation of water contaminated by toxic metal waste. The scope of the present study is to evaluate the microalga’s potential in heavy metal remediation, in the case of multi-metal-treated (multi-MT) systems. For this reason, A. platensis cultures were exposed to mono- and multi-metal solutions of Cu, Cd, Ni, Pb, and Zn, and their metal adsorption ability was investigated. The heavy metal removal efficiency of A. platensis cultures was evaluated using atomic absorption spectroscopy (AAS). Additionally, the cultures were examined using Fourier transform infrared (FTIR) spectroscopy, Near-Infrared (NIR) Spectroscopy, UV-Vis spectrophotometry, and optical microscopy, together with pH and electrical conductivity (EC) measurements to evaluate the quality of the cultures and the changes induced by heavy metal stress. The results showed that metal removal is still efficient in multi-MT cultures. In particular, Cu, Cd, Pb, and Zn removal of multi-MT cultures is elevated or relative to the respective removal of the mono-metal-treated (mono-MT) cultures, showing a synergistic or cooperative interaction between the metals, while the removal of Ni of multi-MT cultures decreased compared to Ni of mono-MT cultures, showing an antagonistic interaction to the other metals. The study shows that A. platensis is considered an effective microalga toward the bioremediation of multi-metal polluted cultures.
Design and Verification of a New Fixture for Machining of Porous Blocks for Medical CAD/CAM Systems
Authors: Sokac Mario , Milosevic Aleksandar , Santosi Zeljko , Vukelic Djordje , Budak Igor
Published: January 2025

This paper presents a new innovative approach for designing and manufacturing a fixture for locating and clamping porous blocks of biocompatible material, which is required for their machining on CNC machines. Manufacturing porous blocks for their application in medical and/or dental fields is gaining traction. However, limited solutions are available today. In order to address this issue, a new design has been proposed for locating and clamping porous blocks. Finite element analysis was used as a verification tool for the designed fixture with the workpiece, which showed a low concentration of stresses. After the manufacturing, dimensional verification in the form of CAD analysis showed small deviations on the manufactured object with deviations peaking around +0.015 mm, thus validating the adequate locating and clamping of the workpiece.
A Comprehensive Review on the Beneficial Roles of Vitamin D in Skin Health as a Bio-Functional Ingredient in Nutricosmetic, Cosmeceutical, and Cosmetic Applications
Authors: Papadopoulou Sofia Neonilli A. , Anastasiou Elena A. , Adamantidi Theodora , Ofrydopoulou Anna , Letsiou Sophia , Tsoupras Alexandros
Published: January 2025

Vitamin D, also called the “sunshine” vitamin, has gained great attention recently due to the observed high percentage of the worldwide population being deficient in this essential bioactive vitamin. Primarily, vitamin D was known for its important role in bone health. Nevertheless, recent research has shown its importance for the brain, heart, muscles, immune system, and skin health, due to its distinct bio-functionality in almost every tissue in the human body. Therefore, its deficiency has been highly correlated with multiple diseases, including skin and dermatologically associated ones. Moreover, different methodologies are applied to synthesize vitamin D, while the main vitamin D sources in human plasma levels and the factors that can cause adverse modifications are multiple. Further research upon vitamin D has exhibited its notable role against skin diseases, such as psoriasis, atopic dermatitis, vitiligo, acne, and rosacea. In this article, a critical review of the most relevant and significant information regarding the relationship between vitamin D and skin health is thoroughly conducted, while emphasis is given to its potential uses and benefits in several cosmetic applications. Current status, limitations, and future perspectives of such a potent bioactive are also extensively discussed.
Challenges of Engineering Skillsets Essential for Driving Circularity of Smart Cities
Authors: Neale Benjamin , Kaewunruen Sakdirat , Li Dan , Donmez Cavdar Ayfer , Askar Rand , Tambovceva Tatjana , Bajare Diana
Published: January 2025

This study aims to define specific transferable engineering capabilities needed for the implementation (design and practices) of circular economy (CE) within a smart city setting. We conducted a critical literature review of over 100 studies on the core values of CE and smart cities to investigate the knowledge gap in this topic and understand what specific skillset is employed by industry experts that can be harnessed on a wider scale, which can allow for the optimization of CE. There is a lack of research on the skillsets needed to implement a circular economy in any setting, and there are very few studies on circularity practices in a smart city setting. Primary data collection allows us to bridge this knowledge gap, yielding new findings that do not already exist concerning the skillset employed by experts in the field, which can positively impact the smart city settings in which a circular economy is implemented. We conducted a qualitative analysis based on expert interviews of 21 participants who have experience in the circular economy. This information will benefit the industry by informing businesses and councils about the key skillsets and capabilities to look out for when employing people to implement any aspect of circular practices in a smart city setting, with an emphasis on enhancing efficiency, achieving deliverables, and thinking systemically to address complex challenges they may face during the implementation. We also investigated the implementation of CE in smart cities to provide a well-rounded view of the different achievements and challenges faced during the process. This mainly focuses on the work of governance in smart circular cities, a factor that has many important implications and externalities in different sectors. This study describes the methodology adopted to formulate a detailed questionnaire for expert interviews with respect to the skill gap and capabilities necessary for working in the industry, the results of which aid discussions regarding the different challenges faced in CE implementation. Our findings reveal that background knowledge in engineering and sustainability is the most ‘highly critical’ hard skill according to the experts, while communication and stakeholder engagement are the essential soft skills required to ensure the success of a circular economy within smart city settings.
Comparison of Aerodynamic Effects on the Commonwealth Advisory Aeronautical Research Council (CAARC) Tall Building Model Tested in Two Wind Tunnel Laboratories
Authors: Zhu Yuhao , Zhou Xu , Chen Yong , Ma Chenyan , Wang Lingjun , Zheng Chaorong , Yan Bowen
Published: January 2025

Wind tunnel test results can be influenced by various factors such as the blockage ratio and scaling ratio. These factors may introduce errors in the experimental outcomes, impacting the accuracy and reliability of the data obtained. This study quantitatively assesses consistency and identifies uncertainty sources to enhance result uniformity across various wind tunnel laboratories. This study conducted a systematic comparison between different wind tunnels in terms of rigid model pressure measurement wind tunnel experiments on the same Commonwealth Advisory Aeronautical Research Council (CAARC) standard tall building model. The study analyzes and discusses the results of mean and root-mean-square (RMS) wind pressure coefficients, peak factors, extreme wind pressure coefficients, probability density distributions, and base overturning force coefficients. The results indicated that in the open-circuit wind tunnel laboratory, the mean wind pressure coefficient is underestimated in the positive pressure region and overestimated in the negative pressure region. This is due to the static pressure which significantly decreases the streamwise direction within the test section, and the difference in static pressure is logarithmically proportional to the mean wind speed. Additionally, dynamic pressure is uniformly distributed along the test section axis. The inaccurate measurement of static pressure leads to these results. To address this issue, an indirect measurement method was employed to correct the static pressure results and reduce the error in the mean wind pressure coefficient to within 10%. Furthermore, differences in turbulence integral scale result in an error of up to 16% in the RMS wind pressure coefficient. Therefore, when conducting rigid model pressure measurement wind tunnel experiments, especially in open-circuit wind tunnel laboratories, careful consideration should be given to the influence of static pressure drop and integral length scale of turbulence.
Cavity Wavelength on Erbium-Doped Fiber Ring Laser Depending on Fabry–Pérot Etalon Steering Angle
Authors: Yao Cheng-Kai , Fan Ting-Po , Chan Ming-Che , Peng Peng-Chun
Published: January 2025

This study presents the liquid crystal Fabry–Pérot etalon (LC-FP) as the preferred laser wavelength tuning solution within a erbium-doped fiber ring laser architecture. The laser cavity wavelength can be adjusted by applying varying voltages to the LC-FP. Furthermore, tuning the laser wavelength can be facilitated by modifying the incident light through changes in the steering angle of the LC-FP, which is attributed to the angular dispersion characteristics of the device. The operational range for the steering angle of the LC-FP is ± 4 to 18 degrees. This architectural framework is adept at facilitating the generation of single-wavelength and dual-wavelength lasers within the C band. The tunable range for a single wavelength is approximately 13 nm, while the tunable range for dual wavelengths is around 14 nm, with a wavelength spacing of approximately 17.5 nm. These capabilities are primarily influenced by the operational wavelength of the erbium-doped fiber amplifier (EDFA), the operating wavelength of the collimator that directs the fiber optic beam into the LC-FP, and the fixed thickness of the LC-FP.