bluuebunny/crossref_metadata_2025 huggingface dataset:
A novel liquid-liquid phase separation-related gene signature for predicting prognosis in colon cancer
Authors: Wang Shuo , Hou Sen , Jiang Shan , Wang Chao , Zhang Peipei , Ye Yingjiang , Gao Zhidong
Published: December 2024

Background

An increasing body of evidence indicates that dysregulation of liquid-liquid phase separation (LLPS) in cellular processes is implicated in the development of diverse tumors. Nevertheless, the association between LLPS and the prognosis, as well as the tumor immune microenvironment, in individuals with colon cancer remains poorly understood.

Methods

We conducted a comprehensive evaluation of the LLPS cluster in 1010 colon cancer samples from the TCGA and GEO databases, utilizing the expression profiles of LLPS-related prognostic differentially expressed genes (DEGs). Subsequently, a LLPS-related gene signature was constructed to calculate the LLPS-related risk score (LRRS) for each individual patient.

Results

Two LLPS subtypes were identified. Substantial variations were observed between the two LLPS subtypes in terms of prognosis, pathway activity, clinicopathological characteristics, and immune characteristics. Patients with high LRRS exhibited worse prognosis and poorer response to immunotherapy. LRRS was found to be correlated with the clinicopathological characteristics, genomic alterations, and the potential response to immune checkpoint inhibitors therapy of colon cancer patients. Additionally, the biological function of a key gene POU4F1 was verified in vitro.

Conclusions

This study highlights the crucial role of LLPS in colon cancer, LRRS can be used to predict the prognosis of colon cancer patients and aid in the identification of more effective immunotherapy strategies.
Gut microbiota mediated T cells regulation and autoimmune diseases
Authors: Bhutta Nabeel Khalid , Xu Xiujin , Jian Cuiqin , Wang Yifan , Liu Yi , Sun Jinlyu , Han Bingnan , Wu Shandong , Javeed Ansar
Published: December 2024

Gut microbiota regulates the immune system, the development and progression of autoimmune diseases (AIDs) and overall health. Recent studies have played a crucial part in understanding the specific role of different gut bacterial strains and their metabolites in different AIDs. Microbial signatures in AIDs are revealed by advanced sequencing and metabolomics studies. Microbes such as Faecalibacterium prausnitzii, Akkermansia muciniphila, Anaerostipes caccae, Bacteroides sp., Roseburia sp., Blautia sp., Blautia faecis, Clostridium lavalense, Christensenellaceae sp., Coprococcus sp., Firmicutes sp., Ruminococcaceae sp., Lachnospiraceae sp., Megamonas sp., Monoglobus sp., Streptococcus pneumoniae and Bifidobacterium sp. help maintain immune homeostasis; whereas, Prevotella copri, Ruminococcus gnavus, Lactobacillus salivarius, Enterococcus gallinarum, Elizabeth menigoseptica, Collinsella sp., Escherichia sp., Fusobacterium sp., Enterobacter ludwigii, Enterobacteriaceae sp., Proteobacteria, Porphyromonas gingivalis, Porphyromonas nigrescens, Dorea sp., and Clostridium sp. cause immuno-pathogenesis. A complex web of interactions is revealed by understanding the influence of gut microbiota on immune cells and various T cell subsets such as CD4+ T cells, CD8+ T cells, natural killer T cells, γδ T cells, etc. Certain AIDs, including rheumatoid arthritis, diabetes mellitus, atopic asthma, inflammatory bowel disease and non-alcoholic fatty liver disease exhibit a state of dysbiosis, characterized by alterations in microbial diversity and relative abundance of specific taxa. This review summarizes recent developments in understanding the role of certain microbiota composition in specific AIDs, and the factors affecting specific regulatory T cells through certain microbial metabolites and also focuses the potential application and therapeutic significance of gut microbiota-based interventions as novel adjunctive therapies for AIDs. Further research to determine the precise association of each gut bacterial strain in specific diseases is required.
Imaging biomarker associated with early neurological deterioration in isolated pontine infarction
Authors: Song Xiaowei , He Feifei , Hou Duoduo , Zhao Hongliang , Wei Chenming , Chen Le , Pengmao Zhuoma , Wu Jian
Published: December 2024

Objective

To investigate the association between cerebral small vessel disease burden, along with its individual imaging features, as well as other imaging features and early neurological deterioration in isolated pontine infarction.

Methods

107 patients with acute isolated pontine infarcts, within 24 h of symptom onset, were retrospectively analyzed. The mean age of the participants was 67 years. The burden of cerebral small vessel disease on brain MRI was assessed, including white matter hyperintensities (WMH), lacunes, cerebral microbleeds (CMB), and enlarged perivascular spaces (EPVS) for each patient. Additionally, other imaging biomarkers including basilar artery plaque features on high-resolution MR vessel wall imaging and intracranial artery stenosis were evaluated simutaneously. END was defined as an increase of ≥1 point on the motor component of the National Institutes of Health Stroke Scale (NIHSS) or an increase of ≥2 points on the total NIHSS score within 72 h of admission. Statistical analyses were performed using t-tests, chi-square tests, and logistic regression.

Results

33.6% (36/107) of the patients experienced END. The END group exhibited a higher prevalence of hyperlipidemia compared to the non-END group (66.7% vs. 43.7%, p = 0.024). Over 50% of the mechanisms of infarction can be attributed to basilar artery branch disease in both groups, with 58.3% in the END group and 50.7% in the non-END group. In a multivariate regression analysis, neither the total burden of cerebral small vessel disease nor the presence of WMH, CMB, lacunes, or EPVS were significantly associated with END (all p > 0.05). However, basilar artery intraplaque hemorrhage observed on vessel wall imaging was independently associated with END (OR = 3.233, 95% CI 1.032–10.123, p = 0.044).

Conclusion

No association was found between the imaging features of cerebral small vessel disease and END in patients with isolated pontine infarction. However, basilar artery intraplaque hemorrhage serve as an independent predictor of END in this population.
Oxylipins as therapeutic indicators of herbal medicines in cardiovascular diseases: a review
Authors: Li Mengqi , He Min , Sun Mengmeng , Li Yongping , Li Mengyuan , Jiang Xiaobo , Wang Yanxin , Wang Hongfeng
Published: December 2024

Globally, cardiovascular diseases (CVDs) remain the leading cause of death, and their prevention and treatment continue to face major challenges. Oxylipins, as novel circulating markers of cardiovascular disease, are crucial mediators linking cardiovascular risk factors such as inflammation and platelet activation, and they play an important role in unraveling cardiovascular pathogenesis and therapeutic mechanisms. Chinese herbal medicine plays an important role in the adjuvant treatment of cardiovascular diseases, which has predominantly focused on the key pathways of classic lipids, inflammation, and oxidative stress to elucidate the therapeutic mechanisms of cardiovascular diseases. However,The regulatory effect of traditional Chinese medicine on oxylipins in cardiovascular diseases remains largely unknown. With the increasing number of recent reports on the regulation of oxylipins by Chinese herbal medicine in cardiovascular diseases, it is necessary to comprehensively elucidate the regulatory role of Chinese herbal medicine in cardiovascular diseases from the perspective of oxylipins. This approach not only benefits further research on the therapeutic targets of Chinese herbal medicine, but also brings new perspectives to the treatment of cardiovascular diseases.
Effectiveness and safety of echinocandins combination therapy with the standard of care compared to the standard of care monotherapy for the treatment of invasive aspergillosis infection: a meta-analysis
Authors: Alsowaida Yazed Saleh , Alshoumr Bader , Alowais Shuroug A. , Bin Saleh Khalid , Alshammari Alia , Alshurtan Kareemah , Wali Haytham A.
Published: December 2024

Background

This meta-analysis aims to evaluate the effectiveness and safety of combining echinocandins with standard of care (SOC) antifungal drugs for treating invasive aspergillosis infection (IAI).

Method

We searched PubMed, Embase, and Cochrane Library from their inception to 25 July 2024. Our outcomes included clinical cure, mortality, and adverse drug reactions (ADRs). We compared echinocandins in combination with SOC antifungal agents against SOC monotherapy therapy. We used the random-effects model for the meta-analysis, and our estimated effects were reported as odds ratios (ORs) with 95% confidence intervals (CI).

Results

Ten studies were included in our meta-analysis comprising 1100 patients: 415 were in the echinocandin combination groups, and 685 were in the SOC groups. The clinical cure rate (OR 1.35, 95% CI: 0.75–2.42, p = 0.27), mortality (OR 0.90, 95% CI: 0.50–1.63, p = 0.73), and ADRs rate (OR 0.95, 95% CI: 0.49–1.82, p = 0.87) were not statistically different in echinocandins combination with SOC compared to SOC monotherapy. Notably, there is a signal for a better clinical cure rate in echinocandins in combination with SOC.

Conclusion

Our meta-analysis found no differences in clinical cure and mortality rate when using combination therapy of echinocandin antifungal agents with the SOC compared to SOC monotherapy. However, there is a signal for better outcomes with the echinocandins combination group. The ADRs in the echinocandins combination group were not worse than SOC monotherapy.
Exploring the potential of electrical bioimpedance technique for analyzing physical activity
Authors: Hafid Abdelakram , Zolfaghari Samaneh , Kristoffersson Annica , Folke Mia
Published: December 2024

Introduction

Exercise physiology investigates the complex and multifaceted human body responses to physical activity (PA). The integration of electrical bioimpedance (EBI) has emerged as a valuable tool for deepening our understanding of muscle activity during exercise.

Method

In this study, we investigate the potential of using the EBI technique for human motion recognition. We analyze EBI signals from the quadriceps muscle and extensor digitorum longus muscle acquired when healthy participants in the range 20–30 years of age performed four lower body PAs, namely squats, lunges, balance walk, and short jumps.

Results

The characteristics of EBI signals are promising for analyzing PAs. Each evaluated PA exhibited unique EBI signal characteristics.

Discussion

The variability in how PAs are executed leads to variations in the EBI signal characteristics, which, in turn, can provide insights into individual differences in how a person executes a specific PA.
Satiety-enhancing placebo intervention decreases selective attention to food cues
Authors: Lanz Marina , Hoffmann Verena , Meissner Karin
Published: December 2024

Background

As placebo interventions could influence appetite and satiety in first studies, they are a promising tool for the future treatment of obesity. Furthermore, individuals with heightened body weight show increased selective attention for food cues. This study aimed to investigate whether placebo induced changes of appetite and satiety can affect attention allocation and to examine correlating factors.

Methods

In a double-blind design, 63 healthy participants were randomized into one of three groups: the enhanced appetite placebo group, the enhanced satiety placebo group, or the control group. Appetite and satiety were induced by administering a placebo capsule along with a group specific expectancy manipulation. One hour later, participants performed a visual probe task to measure attentional bias by comparing reaction times for different conditions. Correlations between reaction times and subjective hunger and satiety ratings, as well as current food craving and plasma ghrelin levels, were explored.

Results

The induction of attentional bias toward non-food stimuli was successful in women in the enhanced satiety placebo group but not in the enhanced appetite placebo group. Women of the enhanced satiety placebo group showed significantly higher reaction times for food cues compared to non-food cues. Across conditions, reaction times were associated with subjective hunger ratings and current food craving in women. No attentional bias was induced in men in either placebo group.

Conclusion

Placebo-induced satiety inhibited attention allocation toward food in healthy women, potentially mediated by reduced hunger and food craving. Placebo effects on satiety could thus be demonstrated on a highly complex cognitive process.
Evaluation of hypoxia-inducible factor-1α and urine non-transferrin-bound iron concentrations in cats with chronic kidney disease
Authors: Chen Chien-Hui , Hsu Wei-Li , Tsai Pei-Shiue Jason , Lai Chun-Fu , Wu Meng-Ting , Lee Ya-Jane
Published: December 2024

Introduction

Hypoxia-inducible factors (HIF) regulate gene transcription, which aids hypoxia adaptation while promoting renal fibrosis. Non-transferrin-bound iron (NTBI) is a catalytic form of iron that can lead to oxidative damage. However, NTBI in cat biofluids has rarely been evaluated.

Aims

We assessed cat plasma and urine HIF-1α (pHIF-1α/uHIF-1α) concentrations and urine NTBI (uNTBI) concentrations to investigate their relationship with chronic kidney disease (CKD) severity.

Methods

pHIF-1α and uHIF-1α concentrations were measured using commercial ELISA kits, while uNTBI concentrations were detected by inductively coupled plasma mass spectrometry.

Results

Healthy cats (n = 35) and cats with CKD (n = 84) formed the study cohorts. pHIF-1α concentrations increased from 9.48 pg./mL (median) in the healthy cohort to 11.42 pg./mL in early-stage CKD cats but decreased to 8.50 pg./mL in late-stage CKD cats. uHIF-1α concentrations gradually decreased with a significant difference between the control group (44.61 pg./mL) and the late-stage CKD group (36.79 pg./mL, p < 0.001). Cats with proteinuria had significantly higher uNTBI concentrations (35.61 ppb) than non-proteinuric cats (25.13 ppb, p = 0.019). Finally, the concentrations of pHIF-1α and uHIF-1α were positively correlated independent of renal function.

Conclusion and clinical importance

Overall, pHIF-1α and uHIF-1α concentrations are lower in advanced CKD cats, while uNTBI concentrations are significantly higher in proteinuric cats.
Research on the Inversion of Key Growth Parameters of Rice Based on Multisource Remote Sensing Data and Deep Learning
Authors: Li Jian , Lu Jian , Fu Hongkun , Zou Wenlong , Zhang Weijian , Yu Weilin , Feng Yuxuan
Published: December 2024

This study accurately inverts key growth parameters of rice, including Leaf Area Index (LAI), chlorophyll content (SPAD) value, and height, by integrating multisource remote sensing data (including MODIS and ERA5 imagery) and deep learning models. Dehui City in Jilin Province, China, was selected as the case study area, where multidimensional data including vegetation indices, ecological function parameters, and environmental variables were collected, covering seven key growth stages of rice. Data analysis and parameter prediction were conducted using a variety of machine learning and deep learning models including Partial Least Squares (PLSs), Support Vector Machine (SVM), Random Forest (RF), and Long Short-Term Memory Networks (LSTM), among which the LSTM model demonstrated superior performance, particularly at multiple critical time points. The results show that the LSTM performed best in inverting the three parameters, with the LAI inversion accuracy on 21 August reaching a coefficient of determination (R2) of 0.72, root mean square error (RMSE) of 0.34, and mean absolute error (MAE) of 0.27. The SPAD inversion accuracy on the same date achieved an R2 of 0.69, RMSE of 1.45, and MAE of 1.16. The height inversion accuracy on 25 July reached an R2 of 0.74, RMSE of 2.30, and MAE of 2.08. This study not only verifies the effectiveness of combining multisource data and advanced algorithms but also provides a scientific basis for the precision management and decision-making of rice cultivation.
Directions in Ornamental Herbaceous Plant Selection in the Central European Temperate Zone in the Time of Climate Change: Benefits and Threats
Authors: Monder Marta Joanna , Pacholczak Andrzej , Zajączkowska Małgorzata
Published: December 2024

Extreme weather events, considered to be the most destructive natural hazards connected with rapid climate changes in the temperate zone of Europe, necessitate swift adjustments to the selection of ornamental plants for cultivation in multi-stress urbanized areas, public greeneries, and gardens. Moreover, given the rising average air temperature and prolonged growing season, as well as the delay and shortening of the dormancy period, plant phenology is subject to significant alternations. Herbaceous plants fulfill most elements of ecosystem service, e.g., they may enhance biodiversity in climate-warming conditions and create a favorable environment for trees in cities. In this work, we consider the advantages and disadvantages of the dissemination or introduction of annuals and perennials. We draw attention to species rarely or never known to have been cultivated in Europe, which currently occupy hotspots with the highest biodiversity value, including (i) the Mediterranean Basin, (ii) the Caucasus, (iii) Irano-Anatolian, (iv), and the mountains of Central Asia. We emphasize the importance of protecting threatened taxa through safe ex situ cultivation. Ornamentals should be characterized not only by aesthetic values but also by their ability to adapt to environmental changes. However, bearing in mind that horticulture is an important source of invasive alien species, further research assessing the ecological threats and advantages should be conducted.
Winding Characteristics and Signal Characterization of Roller During Threshing of Mature Rice
Authors: Que Kexin , Zhuang Xiaobo , Shi Yanyun , Ding Zhexuan , Tang Zhong , Jing Tiantian , Cao Yunlong , Wang Bangzhui , Yu Yao
Published: December 2024

As rice yield rises, the issue of broken axis windings in mature rice threshing drums is becoming increasingly severe. To disclose the winding characteristics and signal traits of the drums during the threshing process of mature rice, this paper undertakes an analysis of the winding characteristics and signals of the drums in rice with the assistance of a vibration test and analysis system. Since rice can lead to drum winding and shaft breakage, this paper alters the driving mode of the drums to exhibit the influence of rice on them. Firstly, the transfer characteristics of the frame need to be studied and analyzed, followed by subsequent research. The test results indicate that the horizontal displacement of the cylinder axial trajectory rises with the growth of the transmission chain, while the vertical displacement drops with the growth of the transmission chain. Additionally, to investigate the effect of mature rice on the threshing performance of horizontal axis II and horizontal axis III, a control variable method was employed. This approach allowed for the observation of how mature rice influences the threshing roller by systematically adjusting both the threshing gap and the rotational speed of the roller. It can be discerned from the test results that with the reduction of the threshing gap of affected mature rice, the unstripped rate gradually declines, while the entrainment loss rate gradually increases. As the rotational speed of horizontal shaft roller III increases, the rate of uncleared material gradually decreases, while the rate of entrainment loss progressively rises. The research findings can furnish a reference for the winding characteristics of rice on rollers and the enhancement of vehicle driving comfort.
TomatoPoseNet: An Efficient Keypoint-Based 6D Pose Estimation Model for Non-Destructive Tomato Harvesting
Authors: Ni Jipeng , Zhu Licheng , Dong Lizhong , Wang Ruixue , Chen Kaikang , Gao Jianbo , Wang Wenbei , Zhou Liming , Zhao Bo , Rong Jiacheng , Han Zhenhao , Lu Kunlei , Feng Xuguang
Published: December 2024

The non-destructive harvesting of fresh tomatoes with agricultural robots requires the robotic arm to approach the fruit with the correct posture to ensure successful harvesting. However, this process faces significant challenges due to the small size of fruit pedicels, cluttered environments, and varied poses of the tomatoes and pedicels. Accurately identifying, localizing, and estimating the 6D spatial pose of the cutting points is critical for efficient and non-destructive harvesting. To address these challenges, we propose a keypoint-based pose estimation model, TomatoPoseNet, tailored to meet the agronomic requirements of tomato harvesting. The model integrates an efficient fusion block (EFBlock) based on the CSPLayer, referred to as the CSEFLayer, as the backbone network, designed to fuse multiscale features while maintaining efficient computational resource usage. Next, a parallel deep fusion network (PDFN) is utilized as the neck network to integrate features from multiple parallel branches. Furthermore, simple coordinate classification (SimCC) is employed as the head network for keypoint detection, and a StripPooling block is introduced to enhance the model’s ability to capture features of different scales and shapes by applying strip pooling in horizontal and vertical directions. Finally, a geometric model is constructed based on the information about the predicted 3D keypoints to estimate the 6D pose of the cutting points. The results show the following: (1) The average precision for keypoint detection (PCK@0.05) reached 82.51%, surpassing those of ViTPose, HRNet, Lite-HRNet, Hourglass, and RTMPose by 3.78%, 9.46%, 11%, 9.14%, and 10.07%, respectively. (2) The mean absolute errors (MAEs) of the yaw and pitch angles for 6D pose estimation of the cutting points were 2.98° and 3.54°, respectively, with maximum errors within 6.5°, meeting the requirements for harvesting. The experimental results demonstrate that the proposed method can accurately locate the 6D pose of cutting points in an unstructured tomato harvesting environment, enabling non-destructive harvesting.
Fungal Phytases as Useful Tools in Agricultural Practices
Authors: Gocheva Yana , Stoyancheva Galina , Miteva-Staleva Jeny , Abrashev Radoslav , Dishliyska Vladislava , Yovchevska Lyudmila , Angelova Maria , Krumova Ekaterina
Published: December 2024

In order to meet the ever-growing needs of society, modern agriculture must develop sustainable farming and livestock production. Crops need phosphorus, a macronutrient found in soils, but they are only able to utilize small quantities of it. Chemical phosphate fertilizers are ineffective and environmentally harmful. The use of microorganisms (bacteria, yeast, filamentous fungi, and microalgae) that synthesize phytases is a promising and environmentally friendly alternative to chemical fertilizers. Phytases are also needed as feed additives in animal husbandry to overcome phosphorus deficiency for animal growth and development. Phytases are phosphatases that catalyze the release of phosphorus from phytate by stepwise hydrolysis. The broad substrate specificity, optimal pH range, higher thermal stability, and specific efficiency of fungal phytases make them interesting enzymes for agricultural applications. They improve and stimulate the growth and development of plants and animals by releasing inorganic phosphorus and producing siderophores, organic acids, hydrogen cyanide, ammonia, and phytohormones. Phytases are crucial for enhancing phosphorus use in farming and decreasing phosphorus waste’s environmental effects. This paper addresses key challenges in modern farming, such as the inefficient utilization of phosphorus from soil and the environmental harm caused by chemical fertilizers, and provides a comprehensive overview of recent advances in the research of fungal phytases. Available scientific data have been synthesized to highlight the potential of phytase use in agriculture. This review outlines key areas for future research, including the development of phytase variants with improved functionality. The potential integration of fungal phytases into sustainable agricultural practices is underlined, in contrast to previously published work focused primarily on their biochemical properties. The review offers new insight into the possible applications of micromycete phytases as a critical factor for sustainable agriculture in the future.
Implementation of an Enhanced Edge Computing System for the Optimization of Strawberry Crop in Greenhouses: A Smart Agriculture Approach
Authors: Abdo-Peralta Paula , García-Pumagualle Cristian , Carrera-Silva Katherin , Frey Catherine , Rosero-Erazo Carlos Rolando , Ortega-Castro John , Orozco Juan Sebastián Silva , Toulkeridis Theofilos
Published: December 2024

This study introduces AgroTec 4.0, which is a smart farming system designed to revolutionize strawberry cultivation in greenhouses through the integration of edge computing technology in the Andean region of Ecuador. The primary objective has been to enhance cultivation efficiency by comparing results from strawberry crops with and without the system, under identical greenhouse conditions. Given the low educational and economic status of local farmers, AgroTec 4.0 was engineered to be user-friendly, easy to operate, and cost-effective, empowering producers with data-driven decision-making capabilities. Key findings underscore the potential of AgroTec 4.0 and agricultural data, including a 15% increase in strawberry yield, from 5.0 kg/m2 in the control greenhouse to 5.75 kg/m2 with AgroTec 4.0, highlighting the system’s ability to maximize productivity. There has also been a significant 20% reduction in water usage, decreasing from 80 L/m2 in the control greenhouse to 64 L/m2 with the system, showcasing AgroTec 4.0’s efficiency in resource management. Furthermore, there were significant improvements in fruit quality, with an 11.8% increase in the Brix index (from 8.5 to 9.5) and a 16.7% increase in average fruit weight (from 30 to 35 g), demonstrating the system’s capacity to enhance product quality. Finally, there has been an impressive 103.03% return on investment (ROI) with AgroTec 4.0, compared to no change in ROI in the control greenhouse, emphasizing the economic value of implementing this technology. These results underscore the transformative potential of AgroTec 4.0 in precision agriculture, offering a scalable and sustainable approach for small-scale producers in Ecuador. The system’s modularity and real-time data analysis capabilities allow for flexible adaptation to various needs, providing farmers with an intuitive interface for managing crops and optimizing resource use. This study demonstrates the feasibility of leveraging agricultural data and edge computing to improve cultivation practices and enhance productivity, contributing efficiently to the sustainability of agriculture in challenging environments.
Exogenous 24-Epibrassinolide Improves Resistance to Leaf Spot Disease Through Antioxidant Regulation and Phenylpropanoid Metabolism in Oats
Authors: Wang Zheng , Niu Kuiju , Zhao Guiqin , Zhang Yuehua , Chai Jikuan , Ju Zeliang
Published: December 2024

Leaf spot disease has become a significant limitation in oat production. 24-epibrassinolide (EBR), a highly active brassinosteroid, plays a significant role in enhancing plant immunity against various diseases by modulating physiological and molecular responses. However, the exact mechanisms by which exogenous EBR regulates plant defense to leaf spot disease are still largely unknown. In this study, we applied various concentrations of EBR (0, 0.01, 0.1, 1, and 10 mg·L−1) to the leaves of oat plants that were inoculated with the Drechslera avenae pathogen. The application of 1 mg·L−1 EBR significantly decreased disease index and increased chlorophyll content under pathogen inoculation while also enhancing antioxidant enzyme (SOD, CAT, and APX) activity and reducing pathogen-induced O2•− production rate and MDA content. Moreover, the enzymes associated with phenylpropanoid metabolism, such as PAL, C4H, and 4CL, were significantly activated by exogenous EBR. Our transcriptomic analyses further revealed that the combination of exogenous EBR and pathogen inoculation upregulated genes involved in signal transduction (BR, ABA, and MAPK), antioxidant enzyme defense systems, and phenylpropanoid and lignin-specific pathways, such as BAS1, APX, GPX, PAL, C4H, 4CL, CCR1, and CAD. Together, these findings reveal that exogenous BR application can improve resistance to Drechslera avenae-induced leaf spot disease in oats by regulating antioxidant defense systems and phenylpropanoid metabolism, which may have the potential to control leaf spot disease in oat production.
Rapid Detection of Feline Calicivirus Using Lateral Flow Dipsticks Based on CRISPR/Cas13a System
Authors: Zhang Zichuang , Li Jing , Zhang Chengqi , Bai Xue , Zhang Tie
Published: December 2024

Feline calicivirus (FCV) is one of the most common viral pathogens in domestic cats worldwide, which mainly causes upper respiratory tract infections in felines and seriously threatens the health of felines. Consequently, it is crucial to establish a rapid detection method to efficiently take control and prevent the spread of FCV. To construct the Cas13a-RAA-LFD reaction system, this study specifically designed recombinase-aided amplification (RAA) primers added with a T7 promoter and CRISPR RNA (crRNA), which were both based on the FCV relatively conserved sequence. The Cas13a protein cleaved the reporting probes only when crRNA recognized the target sequence. The results could be directly observed by lateral flow dipsticks (LFDs). To evaluate this system, factors such as RAA amplification time, Cas13a protein concentration, crRNA concentration, and CRISPR reaction time were optimized. Then, a comparison of the coincidence rate for clinical samples between this method and the polymerase chain reaction (PCR) agarose electrophoresis method was performed to evaluate the reliability of the method. Eventually, the results indicated that the target gene could be effectively amplified by the Cas13a-RAA-LFD method, and the results could be visually observed by LFD. The method could detect FCV specifically, whilst having no cross-reaction with other common viruses which infect felines, such as feline parvovirus (FPV), feline coronavirus (FCoV) and feline herpesvirus (FHV). This method is extremely sensitive and has been validated to detect viral nucleic acids down to 100 copies/μL. The good reproducibility and stability of the method were also verified by this study. Testing of clinical samples proved that the coincidence rate of clinical detection reached 96.39%. In summary, this study established a simplistic, efficient, accurate, and visualized FCV detection method, which can be utilized for early prevention and control of FCV.
Social Perception of Zoos and Aquariums: What We Know and How We Know It
Authors: Villarroya Ana , Miranda Rafael , Pino-del-Carpio Andrea , Casas María
Published: December 2024

Zoos and aquariums attract millions of visitors around the world. At the same time, the functions they fulfill and the way they do that have been subject to scrutiny from different fields of knowledge. The way societies perceive animals has evolved in recent decades and so has the social perception of institutions that work with them. This scoping review aims to gather studies from the last three decades that shade light on how current societies perceive zoos and aquariums. We selected papers describing quantitative studies published in English in peer-reviewed journals. We reviewed 71 works from different fields of knowledge. The proportion of female authors was noticeably higher than in general science. Most studies were carried out in culturally Western countries, a fact that constitutes a gap in knowledge from a global perspective. We also noticed an underrepresentation of aquariums and of children in the analyzed papers, and a need for more pre–post studies to ascertain the effect of a zoo or aquarium on its visitors. These conclusions point out interesting directions for future studies to help scientists, managers, and citizens design the future of these institutions.
Assessment of Dielectric Strength for 3D Printed Solid Materials in Terms of Insulation Coordination
Authors: Uydur Cihat Cagdas
Published: December 2024

Insulating materials can be classified into solid, liquid, and gaseous forms. Solid insulation materials are divided into different types such as organic, inorganic, and polymer types. In electrical circuits, solid insulation materials are generally used as components that provide insulation and mechanical support. In recent years, as a result of developing technologies, the production of participation insulation materials with 3D printing technology has become widespread. Three-dimensional printing technology enables the rapid creation of objects by combining materials based on digital model data. It is important to evaluate the materials produced with 3D printing in terms of insulation coordination. Studies have shown that the electrical breakdown strength of solid dielectrics varies depending on factors such as sample type, thickness, the magnitude of applied voltage, and the temperature of the physical environment. According to IEC-60243 standards, there are various methods to measure the breakdown strength of solid insulators applied to different voltage types. In this study, the behavior of PLA, ABS, ASA, PETG, and PC/ABS materials produced with 3D printing and having the potential to be used as insulation materials when exposed to high voltage within the scope of insulation coordination was investigated. The breakdown strengths of solid insulation materials produced with 3D printing were measured in the high-voltage laboratory within the scope of IEC-60243. Breakdown strength was statistically evaluated with the Weibull distribution. Damage analysis of the breakdowns in the test specimens was examined in detail with ImageJ software. With the comparative analysis, the behaviors of PLA, ABS, ASA, PETG, and PC/ABS solid insulation materials were revealed and their superiority over each other was determined.
Explosive Strength and Speed as Potential Determinants of Success in Youth Figure Skating Competitions
Authors: Helesic Jiri , Lehnert Michal
Published: December 2024

This study aimed to determine the extent to which explosive and reactive strength of the lower limbs, as well as acceleration in running and skating speed, predict figure skating competition results in youth skaters. Talented figure skaters aged 8 to 16 years (n = 211) were divided into two groups: Group 1 (basic novice; age: 10.38 ± 1.10 yrs., height: 1.3889 ± 0.07.26 m, weight: 32.75 ± 4.63 kg) and Group 2 (advanced novice and junior; age: 13.02 ± 1.06 yrs., height: 1.527 ± 0.0818 m, weight: 42.73 ± 7.62 kg). Fifteen variables of physical fitness were measured using tests such as repeated vertical jump, standing long jump, triple jump (right/left leg), 15 m running sprint, and 15 m skating sprint. The competition results were recorded according to the International Skating Union Code of Points. The principal component analysis reduced the fifteen variables to four principal components, explaining 84–87% of the variance. Linear regression models showed that these components significantly explained the variability in the competition scores for both groups. For Group 1, R2 ranged from 0.298 to 0.425, while for Group 2, it ranged from 0.086 to 0.237. Pearson’s R was higher for the mean best score of the season than for the National Championship score. The relative importance of these factors varied across age groups. These findings highlight the need for tailored on- and off-ice training that focuses on locomotion and acceleration for younger skaters and dynamic jump training for older skaters.
Progress, Challenges, and Sustainable Perspectives in Nuclear Energy Strategies
Authors: Fernández-Arias Pablo , Lampropoulos Georgios , Antón-Sancho Álvaro , Vergara Diego
Published: December 2024

This bibliometric review of global nuclear energy strategies reveals a renewed interest in this technology as a fundamental part of the energy transition and the fight against climate change. The findings highlight an emerging leadership of China and other Asian countries in scientific production, although the United States and European countries maintain a greater impact in their research. There is an evolution from a purely technical focus to a greater focus on security, energy policy, climate change, and sustainability, reflecting a more holistic understanding of the role of nuclear energy. The 21st century has seen a resurgence of interest in nuclear energy, driven by concerns about climate change, although these topics are still relatively underrepresented in specialized literature. New areas of research are identified, such as integration with renewable energy and advanced applications. Research on public perception and social acceptance has gained sophistication. Surprisingly, an apparent lack of scientific interest in international collaboration is detected, despite its recognized importance in addressing global challenges and promoting the peaceful use of nuclear energy. This analysis provides a comprehensive overview of the current status and future trends in nuclear energy research and strategies.
Photosynthetic and Physiological Characteristics of Three Common Halophytes and Their Relationship with Biomass Under Salt Stress Conditions in Northwest China
Authors: Zhang Xi , Lin Tao , Xu Hailiang , Gao Guaikui , Dou Haitao
Published: December 2024

Three different types of common halophytes (Haloxylon ammodendron, Tamarix chinensis, and Phragmites australis) in northwest China were used in this study. A field experiment approach was adopted, involving five solutions with different salt concentrations (0, 150, 200, 250, and 300 mmol·L−1) for salt stress treatment. The changes in photosynthetic characteristics and physiological characteristics of three different types of halophytes and their relationship with biomass were measured and analyzed. The results showed that (1) with the increase in salt concentration, the plant height, stem diameter, and biomass of three halophytes showed a downward trend. (2) The chlorophyll a, chlorophyll b, and total chlorophyll contents of Haloxylon ammodendron and Tamarix chinensis first increased and then decreased with the increase in salt concentration. Phragmites australis showed a decreasing trend. The malondialdehyde content of three halophytes showed a clear increasing trend. (3) Under different salt concentrations, the diurnal changes in the net photosynthetic rate, transpiration rate, stomatal conductance, and water use efficiency of three different types of halophytes all showed an “M” trend. The diurnal variation in intercellular carbon dioxide concentration showed a “W” trend. (4) With the increase in salt concentration, the daily average values of the net photosynthetic rate, transpiration rate, and stomatal conductance of three different types of halophytes showed a downward trend. The daily average value of intercellular carbon dioxide concentration showed a “V”-shaped trend of first decreasing and then increasing. The daily average value of water use efficiency showed a “single peak” trend of first increasing and then decreasing. Haloxylon ammodendron and Phragmites australis were mainly limited by stomata at a salt concentration of 0~200 mmol·L−1 and were mainly limited by non-stomata at a salt concentration of 250~300 mmol·L−1. Tamarix chinensis is mainly limited by stomata at a salt concentration of 0~250 mmol·L−1 and is mainly limited by non-stomata at a salt concentration of 300 mmol·L−1. Compared with Haloxylon ammodendron and Phragmites australis, Tamarix chinensis has better water use efficiency, salt tolerance, and adaptability. (5) Meteorological factors, growth morphological factors, physiological factors, photosynthetic factors, and salt concentration have higher explanatory degrees, which have significant effects on the biomass of halophytes. Among them, salt concentration and growth morphological factors have direct core driving effects on the biomass of three different types of halophytes, while meteorological factors, photosynthetic factors, and physiological factors have different effects due to the differences in and complexity of halophytes. This study can provide a theoretical basis for further revealing the adaptation mechanism of different halophytes to salt stress.
Using the Functional Object Detection—Advanced Driving Simulator Scenario to Examine Task Combinations and Age-Based Performance Differences: A Case Study
Authors: Brooks Johnell O. , Gangadharaiah Rakesh , Rosopa Elenah B. , Pool Rebecca , Jenkins Casey , Rosopa Patrick J. , Mims Lauren , Schwambach Breno , Melnrick Ken
Published: December 2024

Occupational therapists need objective tools to evaluate and provide interventions that promote the recovery and rehabilitation of clients. Driving, a common goal for clients after an injury or illness, is a complex task that relies on visual, cognitive, and motor skills. The Functional Object Detection and Functional Object Detection (FOD)—Advanced driving simulator scenarios were developed to provide objective and repeatable driving experiences allowing clinicians to assess their clients’ forward (focal) and peripheral vision, lane keeping, and speed maintenance, as well as provide interventions. Using FOD—Advanced, clinicians can adjust variables to create various task scenarios or combinations to meet the client’s needs and facilitate recovery by providing an appropriate challenge. This study examined four driving simulator scenario combinations and age-related differences for one combination. Study 1 explored older adults’ performance using four possible combinations of FOD—Advanced. Five out of eleven variables (average target reaction time, percentage of targets detected, average brake reaction time, number of target extra presses, and average speed) were effective in distinguishing among the four combinations of FOD with a cross-validated classification rate of 72%. In Study 2, one combination was selected from Study 1 and a group of teens completed the same tasks to evaluate age-related differences. Four out of thirteen simulator variables (standard deviation of brake reaction time, number of target extra presses, average target reaction time, and standard deviation of target reaction time) maximally distinguished the older adults from the younger participants with a cross-validated classification accuracy of 78%. Implications and recommendations for clinical practice and future research are provided.
Bridge Displacements Monitoring Method Based on Pixel Sequence
Authors: Shen Zimeng , Zhu Weizhu , Wu Tong , Luo Xianghao , Zhou Zhixiang
Published: December 2024

In light of the challenges posed by intricate algorithms, subpar recognition accuracy, and prolonged recognition duration in current machine vision for bridge structure monitoring, this paper presents an innovative method for recognizing and extracting structural edges based on the Gaussian difference method. Initially, grayscale processing enhances the image’s information content. Subsequently, a Region of Interest (ROI) is identified to streamline further processing steps. Following this, Gaussian check images at different scales are processed, capitalizing on the observation that edges show reduced correspondence to the Gaussian kernel. Then, the structure image’s edges are derived using the difference algorithm. Lastly, employing the scale factor, the algorithm translates the detected edge displacement within the image into the precise physical displacement of the structure. This method enables continuous monitoring of the structure and facilitates the assessment of its safety status. The experimental results affirm that the proposed algorithm adeptly identifies and extracts the structural edge’s geometric characteristics with precision. Furthermore, the displacement information derived from the scale factor closely aligns with the actual displacement, validating the algorithm’s effectiveness.
Definition and Identification of Honey Bee Welfare Practices Within the Five Domains Framework for Sustainable Beekeeping
Authors: Formato Giovanni , Giannottu Elena , Lorenzi Valentina , Roncoroni Cristina , Pietropaoli Marco , Pedrelli Camilla , Bagni Marina , Palomba Stefano
Published: December 2024

This paper aims to define and identify the Honey Bee Welfare Practices (HBWPs) that beekeepers should adopt within a modern framework for sustainable apiculture. Once identified, HBWPs were categorized according to the Five Domains Model used in other animal species. Drawing on findings of the European BPRACTICES Horizon 2020 project, we identified, for the first time, 243 HBWPs: while all practices were considered impacting the mental state domain, 38 were assigned to nutrition/hydration, 90 to environment, 220 to health, and 50 to behavior. The proposed HBWPs aim to fill existing gaps by introducing a new approach that more fully respects honey bee behavior and helps prevent unnecessary suffering for each bee and the whole beehive at the same time. Future efforts should focus on maximizing welfare benefits within the One Welfare framework, moving beyond the previously considered One Health perspective. This welfare-oriented focus benefits honey bees, supports beekeepers, and promotes environmental sustainability, aligning with the principles of One Welfare.
From Tension to Triumph: Design and Implementation of an Innovative Algorithmic Metric for Quantifying Individual Performance in Women Volleyball’s Critical Moments
Authors: López-Serrano Carlos , Zakynthinaki María , Mon-López Daniel , Molina Martín Juan José
Published: December 2024

This study introduces the critical individual contribution coefficient (CR-ICC), a novel metric that evaluates player effectiveness in critical moments of the game. We analyzed 16,631 technical actions from the top eight teams across 77 sets of the 2019 FIVB Women’s Club World Championship, ensuring data quality through inter- and intra-observer reliability. Traditional variables such as points scored, attack and reception efficiency, and balance were examined. Python programming was utilized to calculate the values of CR-ICC, which consider the contextual variables of set period, score difference, competitive load, and opponent’s level. Akaike’s and Bayesian information criteria, along with Nagelkerke’s coefficient of determination, were employed. Binomial logistic regression and receiver operating characteristic curves estimated the probability of victory associated with each variable. Interactive dashboards were developed, enabling dynamic analysis and data visualization. Statistically significant differences were observed in all variables (p < 0.05), except for reception efficiency (p < 0.05), at both the team and individual player levels. At the team level, points scored, attack efficiency, and balance exhibited the highest predictive abilities, with CR-ICC also demonstrating a strong predicting ability. The proposed CR-ICC has remarkable potential as a strategic asset for coaches, enabling the identification of players who excel in critical moments of the game.