bluuebunny/crossref_metadata_2025 huggingface dataset:
Interaction Effects of Water and Nitrogen Practices on Wheat Yield, Water and Nitrogen Productivity under Drip Fertigation in Northern China
Authors: Zhang Xin , Zhang Jianheng , Li Liwei , Liu Yang , Zhen Wenchao , Wang Guiyan
Published: September 2024

Water resource shortage and unreasonable application of nitrogen (N) fertilizer have been problems in wheat production of northern China. However, the interaction effects of water regimes and N practices on wheat root growth, grain yield, soil water, and inorganic N changes as well as water-N use efficiency are still unclear under drip irrigation. A field experiment was conducted during the 2020–2021 and 2021–2022 winter wheat (Triticum aestivum) growing seasons. In this study, three irrigation schedules (i.e., irrigation was applied up to 80% [D1], 75% [D2], and 70% [D3] as soon as the soil water content decreased to 65%, 60% or 55% of field capacity) and two N practices (i.e., N applied at the base, jointing, booting stages were 90, 72, 48 kg ha−1 [N1], and the base, jointing, booting, filling stages were 90, 40, 40, 40 kg ha−1 [N2], respectively) were considered. The decease in irrigation water amount was offset by the increase in soil water consumption. In addition, N practices significantly interacted with irrigation on soil NO3−–N accumulation (2021–2022), NH4+–N accumulation, SPAD value (2020–2021), N content in stems and grains at maturity, and average root length and weight density at the flowering stage. Irrigation, rather than N practices, significantly affected grain yield, total N uptake, crop N transformations (NT), the contribution of NT to grain (NTPC), water and N productivity, in which, for the value of these two seasons, D2 increased total N uptake by 18.1% (p < 0.05), and NT by 39.4% (p < 0.05) under N1 as compared to D3. Additionally, the highest WUE and ANUE were found in D2 during 2021–2022. Heavy irrigation water amount caused high a LAI; further analysis proved that the LAI was the key factor affecting grain yield, and positively and significantly correlated to yield. However, no significant difference in the LAI between D1 and D2 was found. N1 was beneficial to prevent N leaching and increase water and N use efficiency, biomass, and N transformation amount. This study recommends that D2 + N1 might be a promising system for manipulating irrigation and fertilization practices under sub-surface drip irrigation systems to improve water and N use efficiency and grain yields in semi-arid regions.
Evaluating Environmental Sustainability: The Role of Agriculture and Renewable Energy in South Korea
Authors: He Yugang
Published: September 2024

This study investigates the impacts of agriculture and renewable energy consumption on CO2 emissions in South Korea from 1980 to 2023, highlighting both challenges and opportunities for environmental sustainability. Utilizing bootstrap ARDL, FMOLS, and CCR methodologies, the analysis reveals that traditional agricultural practices significantly increase CO2 emissions, underscoring the urgent need for sustainable agricultural reforms. Conversely, renewable energy consumption effectively reduces CO2 emissions, thereby supporting the nation’s transition towards sustainable energy sources. Additionally, control variables such as industrial activity, urbanization, energy prices, and government environmental policies exhibit significant effects on CO2 emissions. Specifically, industrial activity and urbanization contribute to increased emissions, whereas higher energy prices and stringent environmental policies are associated with reduced emissions. These findings highlight the necessity for targeted agricultural and energy sector reforms to achieve a balance between economic growth and environmental preservation. Robustness tests confirm the stability of these relationships, providing a reliable foundation for policymakers to develop effective strategies for a sustainable future in South Korea.
Diversity of Thrips Species Associated with Soybean Grown in Different Plant Arrangements at Various Phenological Stages
Authors: Twardowski Jacek , Gruss Iwona , Cierpisz Marcin , Twardowska Kamila , Magiera-Dulewicz Joanna , Kozak Marcin
Published: September 2024

Changes in crop seeding density may affect the presence of phytophagous organisms, whose development is closely associated with host plants. The main objective of this study was to evaluate the abundance and species composition of thrips (Thysanoptera) collected in soybean plants of two different varieties cultivated in different plant arrangements (row spacing, seed density) at different phenological stages. The research was carried out at two locations in southwest Poland between 2015 and 2018. The herbivores that inhabited the plants were caught using an entomological net. The experiments were conducted using a complete block design with four replications. A total of 20 species of thrips were identified and their dietary specialization was determined with an emphasis on the possibility of feeding on Fabaceae plants. Thrips tabaci, Aeolothrips intermedius, and T. fuscipes were the dominant species within the collected material. The general linear model revealed no significant changes in the number of thrips caused by the row spacing, seed density or soybean variety. The significant factor was the phenological stage. The number of thrips increased significantly during the flowering period and shortly after flowering, making them an important threat to the plants. Therefore, it is crucial to develop innovative pest management strategies tailored to effective soybean cultivation to mitigate potential pest-related challenges.
Safety Assessment of Honeys from Northern and Southern Algerian Regions
Authors: Derrar Sofiane , Nava Vincenzo , Ayad Mohamed Amine , Saim Mohamed Said , Aggad Hebib , Spanò Irene Maria , Litrenta Federica , Leonardi Michelangelo , Albergamo Ambrogina , Lo Turco Vincenzo , Potortì Angela Giorgia , Di Bella Giuseppa
Published: September 2024

Although the EU is a major producer of honey, commercial production is often insufficient to meet market demand and, as a result, honey is often imported into the EU from extra-EU countries that lack regulatory standards for food safety and quality. Since honey is a matrix highly susceptible to contamination, monitoring the quality and safety of extra-EU honey is of significant importance to show potential safety gaps. Hence, aim of the study was to monitor the mineral profile of monofloral and multifloral honeys from different regions of North (provinces of Tiaret and Laghouat) and South Algeria (province of Tindouf). In almost all the samples, Mg, Fe, Zn, Cd and Pb were found at levels exceeding the limits set for honey by the Codex Alimentarius and European Regulation 915/2023. In addition, a PCA analysis pointed out that the analysis of the element profile was useful to discriminate Algerian honeys more on the basis of geographical than botanical origin. The dietary exposure assessment indicates that the investigated honeys can be safely consumed in quantities comparable to those considered in Europe (1.8 g/day) and North Africa (0.3 g/day). Hopefully, data from this study may solicit the Algerian government to set regulatory limits on inorganic elements in honey and align with other international standards, to create a harmonized network able to improve the safety of this food.
Machine Learning Methods for Evaluation of Technical Factors of Spraying in Permanent Plantations
Authors: Tadić Vjekoslav , Radočaj Dorijan , Jurišić Mladen
Published: September 2024

Considering the demand for the optimization of the technical factors of spraying for a greater area coverage and minimal drift, field tests were carried out to determine the interaction between the area coverage, number of droplets per cm2, droplet diameter, and drift. The studies were conducted with two different types of sprayers (axial and radial fan) in an apple orchard and a vineyard. The technical factors of the spraying interactions were nozzle type (ISO code 015, code 02, and code 03), working speed (6 and 8 km h−1), and spraying norm (250–400 L h−1). The airflow of both sprayers was adjusted to the plantation leaf mass and the working pressure was set for each repetition separately. A method using water-sensitive paper and a digital image analysis was used to collect data on coverage factors. The data from the field research were processed using four machine learning models: quantile random forest (QRF), support vector regression with radial basis function kernel (SVR), Bayesian Regularization for Feed-Forward Neural Networks (BRNN), and Ensemble Machine Learning (ENS). Nozzle type had the highest predictive value for the properties of number of droplets per cm2 (axial = 69.1%; radial = 66.0%), droplet diameter (axial = 30.6%; radial = 38.2%), and area coverage (axial = 24.6%; radial = 34.8%). Spraying norm had the greatest predictive value for area coverage (axial = 43.3%; radial = 26.9%) and drift (axial = 72.4%; radial = 62.3%). Greater coverage of the treated area and a greater number of droplets were achieved with the radial sprayer, as well as less drift. The accuracy of the machine learning model for the prediction of the treated surface showed a satisfactory accuracy for most properties (R2 = 0.694–0.984), except for the estimation of the droplet diameter for an axial sprayer (R2 = 0.437–0.503).
EFS-Former: An Efficient Network for Fruit Tree Leaf Disease Segmentation and Severity Assessment
Authors: Jiang Donghui , Sun Miao , Li Shulong , Yang Zhicheng , Cao Liying
Published: September 2024

Fruit is a major source of vitamins, minerals, and dietary fiber in people’s daily lives. Leaf diseases caused by climate change and other factors have significantly reduced fruit production. Deep learning methods for segmenting leaf diseases can effectively mitigate this issue. However, challenges such as leaf folding, jaggedness, and light shading make edge feature extraction difficult, affecting segmentation accuracy. To address these problems, this paper proposes a method based on EFS-Former. The expanded local detail (ELD) module extends the model’s receptive field by expanding the convolution, better handling fine spots and effectively reducing information loss. H-attention reduces computational redundancy by superimposing multi-layer convolutions, significantly improving feature filtering. The parallel fusion architecture effectively utilizes the different feature extraction intervals of the convolutional neural network (CNN) and Transformer encoders, achieving comprehensive feature extraction and effectively fusing detailed and semantic information in the channel and spatial dimensions within the feature fusion module (FFM). Experiments show that, compared to DeepLabV3+, this method achieves 10.78%, 9.51%, 0.72%, and 8.00% higher scores for mean intersection over union (mIoU), mean pixel accuracy (mPA), accuracy (Acc), and F_score, respectively, while having 1.78 M fewer total parameters and 0.32 G lower floating point operations per second (FLOPS). Additionally, it effectively calculates the ratio of leaf area occupied by spots. This method is also effective in calculating the disease period by analyzing the ratio of leaf area occupied by diseased spots. The method’s overall performance is evaluated using mIoU, mPA, Acc, and F_score metrics, achieving 88.60%, 93.49%, 98.60%, and 95.90%, respectively. In summary, this study offers an efficient and accurate method for fruit tree leaf spot segmentation, providing a solid foundation for the precise analysis of fruit tree leaves and spots, and supporting smart agriculture for precision pesticide spraying.
Ancient Genome of Broomcorn Millet from Northwest China in Seventh Century CE: Shedding New Light to Its Origin and Dispersal Patterns
Authors: Sun Xiaolan , Wang Yifan , Lu Yongxiu , Xu Yongxiang , Liu Bingbing , Yang Yishi , Chen Guoke , Wang Hongru , Huang Zihao , Cai Yuanyang , Gu Zhengquan , Wang Xiaoxia , Dong Guanghui , Wang Yucheng
Published: September 2024

Broomcorn millet (Panicum miliaceum) is among the earliest domesticated staple crops in the world’s agricultural history and facilitated the development of several early agrarian cultures, particularly those originating in northern China. However, the propagation route of broomcorn millet in China from the Middle Ages to the present remains unclear. The aim of this study is to explore the genetic affinity between ancient and modern millet samples, trace the genetic origins and diffusion pathways of broomcorn millet, and provide insights into its domestication and spread. To achieve this, we sequence ancient DNA from broomcorn millet remains excavated from the Chashan Village cemetery (AD 691) in Gansu Province, China. Phylogenetic and population genetic analyses, integrating ancient and modern millet genomes, reveal a close genetic relationship between ancient millet and contemporary millet from Ningxia Province (445 km away from Chashan Village), suggesting a potential origin for the Chashan millet. This finding aligns with the tomb’s epitaph, which documents the reburial of the tomb’s owner, who was originally buried in Ningxia, and provides important archaeological evidence for understanding the interaction between geopolitical dynamics and the natural environment in northwest China during the late seventh century. Furthermore, outgroup-f3 and D statistics evidence suggests substantial genetic interactions between ancient millet and modern varieties from the Loess Plateau, Huang-Huai-Hai Plain, and Northeast Plain, indicating the dispersal route of broomcorn millet, along with human migration routes, from the northwest to northern China and ultimately to the northeast region, starting from the Middle Ages onward. This study enhances our understanding of millet’s genetic history, offers a novel perspective on burial archaeology, and provides valuable insights into the origins, domestication, and diffusion of broomcorn millet.
Differences in Lipid Metabolism between the Perirenal Adipose Tissue of Chinese Simmental Cattle and Angus Cattle (Bos taurus) Based on Metabolomics Analysis
Authors: Wang Siyuan , Pang Yue , Wang Lixiang , Wang Qi , Chen Zhongling , Li Chengjiao , Li Fengjiao , Zhang Guoxi , Wang Xiaoying , Gao Shuxin , Xu Xingjian
Published: September 2024

The aim of this experiment was to investigate the differences in metabolites in perirenal fat (PF) between Chinese Simmental cattle and Angus cattle. Six healthy 18-month-old male Angus cattle and Chinese Simmental cattle were selected, and the perirenal adipose tissue was collected after slaughtering. HE staining, a triglyceride assay kit, and liquid chromatography–tandem mass spectrometry (LC-MS/MS) technology were used to compare and analyze the differences in the cell morphology, lipid accumulation, and metabolites of the two types of PF. The results showed that the PF of Angus cattle had a larger cell area and stronger lipid deposition ability than that of Simmental cattle. A total of 567 metabolites were detected by LC-MS/MS technology, of which 119 were significantly upregulated in Angus cattle PF and 129 were significantly upregulated in Simmental cattle PF. Differential metabolites were enriched in pathways such as fatty acid biosynthesis, polyunsaturated fatty acid biosynthesis, regulation of adipocyte lipolysis, and oxidative phosphorylation. Finally, 12 metabolites that may cause phenotypic differences between the two types of perirenal adipose tissue were screened out from these pathways. This study has preliminarily screened out biomarkers that may affect lipid metabolism in PF, providing basic data for the further exploration of the metabolic characteristics of PF.
Aerobic Exercise Protects against Cardiotoxin-Induced Skeletal Muscle Injury in a DDAH1-Dependent Manner
Authors: Feng Fei , Luo Kai , Yuan Xinyi , Lan Ting , Wang Siyu , Xu Xin , Lu Zhongbing
Published: September 2024

Dimethylarginine dimethylaminohydrolase 1 (DDAH1) is a critical enzyme that regulates nitric oxide (NO) signaling through the degradation of asymmetric dimethylarginine (ADMA). Previous studies have revealed a link between the beneficial effects of aerobic exercise and the upregulation of DDAH1 in bones and hearts. We previously reported that skeletal muscle DDAH1 plays a protective role in cardiotoxin (CTX)-induced skeletal muscle injury and regeneration. To determine the effects of aerobic exercise on CTX-induced skeletal muscle injury and the role of DDAH1 in this process, wild-type (WT) mice and skeletal muscle-specific Ddah1-knockout (Ddah1MKO) mice were subjected to swimming training for 8 weeks and then injected with CTX. In WT mice, swimming training for 8 weeks significantly promoted skeletal muscle regeneration and attenuated inflammation, oxidative stress, and apoptosis in the gastrocnemius (GA) muscle after CTX injection. These phenomena were associated with increases in the protein expression of PAX7, myogenin, MEF2A, eNOS, SOD2, and peroxiredoxin 5 and decreases in iNOS expression in GA muscles. Swimming training also decreased serum ADMA levels and increased serum nitrate/nitrite (NOx) levels and skeletal muscle DDAH1 expression. Interestingly, swimming training in Ddah1MKO mice had no obvious effect on CTX-induced skeletal muscle injury or regeneration and did not repress the CTX-induced inflammatory response, superoxide generation, or apoptosis. In summary, our data suggest that DDAH1 is important for the protective effect of aerobic exercise on skeletal muscle injury and regeneration.
Fluorinated Hollow Porous Carbon Spheres as High-Performance Cathode Material for Primary Battery
Authors: Zou Yan , Yan Ke , Bao Liangxue , Xia Qi , Chen Huixin , Yue Hongjun
Published: September 2024

Fluorinated carbon cathode materials have extremely high theoretical specific energy among known cathode materials of lithium primary batteries. Nevertheless, current fluorinated carbon cannot meet the performance demands of future applications due to the rate performance. This work innovatively applies hollow carbon spheres with a porous structure as carbon sources to prepare fluorinated hollow porous carbon spheres (FHPCS) with high energy density and power density. The porous structure provides more reaction sites for the fluorination process and also shortens the diffusion path of lithium ions during the discharge. Additionally, the hollow porous structure offers more interfacial contact areas and reduces volumetric expansion during discharge reactions. The Li/CFx primary battery has a maximum specific energy of 2007 Wh kg−1 and a maximum power density of 30,400 W kg−1 and can have a capacity retention rate of 80.8% at a current density of 16 A g−1. In addition, FHPCS also has the highest specific energy of 1999 Wh kg−1 and 1711 Wh kg−1 in Na/CFx and K/CFx primary batteries, respectively. The diffusion efficiency of an alkali metal ion is analyzed by the different discharge depths with electrochemical impedance spectroscopy and galvanostatic intermittent titration technique. This effort introduces a new high-performance fluorinated carbon featuring a hollow porous structure and puts forward an innovative approach to designing fluorinated carbon materials.
Federated Learning with Multi-Method Adaptive Aggregation for Enhanced Defect Detection in Power Systems
Authors: Zhang Linghao , Bian Bing , Luo Linyu , Li Siyang , Wang Hongjun
Published: September 2024

The detection and identification of defects in transmission lines using computer vision techniques is essential for maintaining the safety and reliability of power supply systems. However, existing training methods for transmission line defect detection models predominantly rely on single-node training, potentially limiting the enhancement of detection accuracy. To tackle this issue, this paper proposes a server-side adaptive parameter aggregation algorithm based on multi-method fusion (SAPAA-MMF) and formulates the corresponding objective function. Within the federated learning framework proposed in this paper, each client executes distributed synchronous training in alignment with the fundamental process of federated learning. The hierarchical difference between the global model, aggregated using the improved joint mean algorithm, and the global model from the previous iteration is computed and utilized as the pseudo-gradient for the adaptive aggregation algorithm. This enables the adaptive aggregation to produce a new global model with improved performance. To evaluate the potential of SAPAA-MMF, comprehensive experiments were conducted on five datasets, involving comparisons with several algorithms. The experimental results are analyzed independently for both the server and client sides. The findings indicate that SAPAA-MMF outperforms existing federated learning algorithms on both the server and client sides.
Imprinting as Basis for Complex Evolutionary Novelties in Eutherians
Authors: Schuff Maximillian , Strong Amanda D. , Welborn Lyvia K. , Ziermann-Canabarro Janine M.
Published: September 2024

The epigenetic phenomenon of genomic imprinting is puzzling. While epigenetic modifications in general are widely known in most species, genomic imprinting in the animal kingdom is restricted to autosomes of therian mammals, mainly eutherians, and to a lesser extent in marsupials. Imprinting causes monoallelic gene expression. It represents functional haploidy of certain alleles while bearing the evolutionary cost of diploidization, which is the need of a complex cellular architecture and the danger of producing aneuploid cells by mitotic and meiotic errors. The parent-of-origin gene expression has stressed many theories. Most prominent theories, such as the kinship (parental conflict) hypothesis for maternally versus paternally derived alleles, explain only partial aspects of imprinting. The implementation of single-cell transcriptome analyses and epigenetic research allowed detailed study of monoallelic expression in a spatial and temporal manner and demonstrated a broader but much more complex and differentiated picture of imprinting. In this review, we summarize all these aspects but argue that imprinting is a functional haploidy that not only allows a better gene dosage control of critical genes but also increased cellular diversity and plasticity. Furthermore, we propose that only the occurrence of allele-specific gene regulation mechanisms allows the appearance of evolutionary novelties such as the placenta and the evolutionary expansion of the eutherian brain.
Genome Engineering of Primary and Pluripotent Stem Cell-Derived Hepatocytes for Modeling Liver Tumor Formation
Authors: Zhang Lulu , Wang Xunting , Yang Xuelian , Chi Yijia , Chu Yihang , Zhang Yi , Gong Yufan , Wang Fei , Zhao Qian , Zhao Dongxin
Published: September 2024

Genome editing has demonstrated its utility in generating isogenic cell-based disease models, enabling the precise introduction of genetic alterations into wild-type cells to mimic disease phenotypes and explore underlying mechanisms. However, its application in liver-related diseases has been limited by challenges in genetic modification of mature hepatocytes in a dish. Here, we conducted a systematic comparison of various methods for primary hepatocyte culture and gene delivery to achieve robust genome editing of hepatocytes ex vivo. Our efforts yielded editing efficiencies of up to 80% in primary murine hepatocytes cultured in monolayer and 20% in organoids. To model human hepatic tumorigenesis, we utilized hepatocytes differentiated from human pluripotent stem cells (hPSCs) as an alternative human hepatocyte source. We developed a series of cellular models by introducing various single or combined oncogenic alterations into hPSC-derived hepatocytes. Our findings demonstrated that distinct mutational patterns led to phenotypic variances, affecting both overgrowth and transcriptional profiles. Notably, we discovered that the PI3KCA E542K mutant, whether alone or in combination with exogenous c-MYC, significantly impaired hepatocyte functions and facilitated cancer metabolic reprogramming, highlighting the critical roles of these frequently mutated genes in driving liver neoplasia. In conclusion, our study demonstrates genome-engineered hepatocytes as valuable cellular models of hepatocarcinoma, providing insights into early tumorigenesis mechanisms.
Investigating Modifiable Risk Factors Across Dementia Subtypes: Insights from the UK Biobank
Authors: Ma Xiangge , Gao Hongjian , Wu Yutong , Zhu Xinyu , Wu Shuicai , Lin Lan
Published: September 2024

This study investigates the relationship between modifiable risk factors and dementia subtypes using data from 460,799 participants in the UK Biobank. Utilizing univariate Cox proportional hazards regression models, we examined the associations between 83 modifiable risk factors and the risks of all-cause dementia (ACD), Alzheimer’s disease (AD), and vascular dementia (VD). Composite scores for different domains were generated by aggregating risk factors associated with ACD, AD, and VD, respectively, and their joint associations were assessed in multivariable Cox models. Additionally, population attributable fractions (PAF) were utilized to estimate the potential impact of eliminating adverse characteristics of the risk domains. Our findings revealed that an unfavorable medical history significantly increased the risk of ACD, AD, and VD (hazard ratios (HR) = 1.88, 95% confidence interval (95% CI): 1.74–2.03, p < 0.001; HR = 1.80, 95% CI: 1.54–2.10, p < 0.001; HR = 2.39, 95% CI: 2.10–2.71, p < 0.001, respectively). Blood markers (PAF = 12.1%; 17.4%) emerged as the most important risk domain for preventing ACD and VD, while psychiatric factors (PAF = 18.3%) were the most important for preventing AD. This study underscores the potential for preventing dementia and its subtypes through targeted interventions for modifiable risk factors. The distinct insights provided by HR and PAF emphasize the importance of considering both the strength of the associations and the population-level impact of dementia prevention strategies. Our research provides valuable guidance for developing effective public health interventions aimed at reducing the burden of dementia, representing a significant advancement in the field.
Sex-Related Differences in the Associations between Adiponectin and Serum Lipoproteins in Healthy Subjects and Patients with Metabolic Syndrome
Authors: Klobučar Iva , Habisch Hansjörg , Klobučar Lucija , Trbušić Matias , Pregartner Gudrun , Berghold Andrea , Kostner Gerhard M. , Scharnagl Hubert , Madl Tobias , Frank Saša , Degoricija Vesna
Published: September 2024

The strong associations between the serum levels of adiponectin and the lipoprotein subclasses observed in healthy subjects are much weaker in patients with metabolic syndrome (MS). However, the impact of sex on these associations remained unexplored. Therefore, in the present study, we examined associations between adiponectin and the lipoprotein subclasses, analyzed by nuclear magnetic resonance spectroscopy, separately in healthy females and males, as well as in females and males with MS. We observed negative correlations between adiponectin and VLDL, IDL, and small-dense LDL in healthy males, but neither in healthy females nor in females or males with MS. Additionally, adiponectin was positively correlated with some HDL subclasses in healthy males and females with MS, but not in healthy females or males with MS. Adjusting for age and either body mass index, waist circumference, C-reactive protein, or interleukin-6 weakened the associations between adiponectin and VLDL and IDL but not small-dense LDL. The adjustment weakened the associations between adiponectin and HDL in healthy males but not in females with MS. Based on our results, we conclude that sex and the presence of MS are strong determinants of the associations between adiponectin and serum lipoproteins and that the complex regulatory network comprising adiponectin and other molecular players involved in the regulation of lipoprotein metabolism is primarily operative in healthy males and females with MS.
Exploring the Relationships between Lifestyle Patterns and Epigenetic Biological Age Measures in Men
Authors: Ke Te-Min , Lophatananon Artitaya , Muir Kenneth R.
Published: September 2024

DNA methylation, validated as a surrogate for biological age, is a potential tool for predicting future morbidity and mortality outcomes. This study aims to explore how lifestyle patterns are associated with epigenetic changes in British men. Five biological age clocks were utilised to investigate the relationship between these epigenetic markers and lifestyle-related factors in a prospective study involving 221 participants. Spearman’s correlation test, Pearson’s correlation test, and univariate linear regression were employed for analysis. The results indicate that higher consumption of saturated fat and total daily calories, and a higher body mass index (BMI) are associated with accelerated biological aging. Conversely, higher vitamin D intake and a higher healthy lifestyle index (HLI) are linked to decelerated biological aging. These findings highlight the potential impact of specific lifestyle-related factors on biological aging and can serve as a reference for applying healthy lifestyle improvements in future disease prevention studies.
Cold Atmospheric Plasma Induces Growth Arrest and Apoptosis in Neurofibromatosis Type 1-Associated Peripheral Nerve Sheath Tumor Cells
Authors: Na Brian , Haist Blake , Shah Shilp R. , Sabiston Graeme , Jonas Steven J. , Vitte Jeremie , Wirz Richard E. , Giovannini Marco
Published: September 2024

Neurofibromatosis type 1 (NF1) is an autosomal dominant disorder resulting from mutations in the NF1 gene. Patients harboring these mutations are predisposed to a spectrum of peripheral nerve sheath tumors (PNSTs) originating from Schwann cells, of which malignant peripheral nerve sheath tumors (MPNSTs) are the deadliest, with limited treatment options. Therefore, an unmet need still exists for more effective therapies directed at these aggressive malignancies. Cold atmospheric plasma (CAP) is a reactive oxygen species (ROS) and reactive nitrogen species (RNS) generating ionized gas that has been proposed to be a potential therapeutic modality for cancer. In this study, we sought to determine the effects of CAP on NF1-associated PNSTs. Utilizing established mouse and human cell lines to interrogate the effects of CAP in both in vitro and in vivo settings, we found that NF1-associated PNSTs were highly sensitive to CAP exposure, resulting in cell death. To our knowledge, this is the first application of CAP to NF1-associated PNSTs and provides a unique opportunity to study the complex biology of NF1-associated tumors.
Importance of Studying Non-Coding RNA in Children and Adolescents with Type 1 Diabetes
Authors: Cabiati Manuela , Federico Giovanni , Del Ry Silvia
Published: September 2024

Type 1 diabetes (T1D) mellitus is a chronic illness in children and teens, with rising global incidence rates. It stems from an autoimmune attack on pancreatic β cells, leading to insufficient insulin production. Genetic susceptibility and environmental triggers initiate this process. Early detection is possible by identifying multiple autoantibodies, which aids in predicting future T1D development. A new staging system highlights T1D’s onset with islet autoimmunity rather than symptoms. Family members of T1D patients face a significantly increased risk of T1D. Italy recently passed a law mandating national T1D screening for pediatric populations. Measurements of β cell function continue to be essential in assessing efficacy, and different models have been proposed, but more appropriate biomarkers are mandatory for both progression studies before the onset of diabetes and during therapeutic monitoring. Biomarkers like microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) play key roles in T1D pathogenesis by regulating gene expression. Understanding their roles offers insights into T1D mechanisms and potential therapeutic targets. In this review, we summarized recent progress in the roles of some non-coding RNAs (ncRNAs) in the pathogenesis of T1D, with particular attention to miRNAs, lncRNAs, and circRNAs.
Harmonizing Nature, Education, Engineering and Creativity: An Interdisciplinary Educational Exploration of Engineered Living Materials, Artistry and Sustainability Using Collaborative Mycelium Brick Construction
Authors: van Nieuwenhoven Richard W. , Gabl Matthias , Mateus-Berr Ruth , Gebeshuber Ille C.
Published: September 2024

This study presents an innovative approach to interdisciplinary education by integrating biology, engineering and art principles to foster holistic learning experiences for middle-schoolers aged 11–12. The focus lies on assembling mycelium bricks as engineered living materials, with promising applications in sustainable construction. Through a collaborative group task, children engage in the hands-on creation of these bricks, gaining insights into mycology, biomaterials engineering and artistic expression. The curriculum introduces fundamental concepts of mycelial growth and its potential in sustainable material development. Children actively participate in fabricating 3D forms (negative and positive) using mycelium bricks, thereby gaining practical knowledge in shaping and moulding living materials. This hands-on experience enhances their understanding of biological processes and cultivates an appreciation for sustainable design principles. The group task encourages teamwork, problem-solving and creativity as children collaboratively compose structures using mycelium bricks. Integrating art into the activity adds a creative dimension, allowing participants to explore aesthetic aspects while reinforcing the project’s interdisciplinary nature. Conversations about the material’s end-of-life and decomposition are framed within the broader context of Nature’s cycles, facilitating an understanding of sustainability. This interdisciplinary pedagogical approach provides a model for educators seeking to integrate diverse fields of knowledge into a cohesive and engaging learning experience. The study contributes to the emerging field of nature-inspired education, illustrating the potential of integrating living materials and 3D-understanding activities to nurture a holistic understanding of science, engineering and artistic expression in young learners.
Computational Modeling of Ganglion Cell Bicolor Opponent Receptive Fields and FPGA Adaptation for Parallel Arrays
Authors: Wei Hui , Yao Wenbo
Published: September 2024

The biological system is not a perfect system, but it is a relatively complete system. It is difficult to realize the lower power consumption and high parallelism that characterize biological systems if lower-level information pathways are ignored. In this paper, we focus on the K, M and P pathways of visual signal processing from the retina to the lateral geniculate nucleus (LGN). We model the visual system at a fine-grained level to ensure efficient information transmission while minimizing energy use. We also implement a circuit-level distributed parallel computing model on FPGAs. The results show that we are able to transfer information with low energy consumption and high parallelism. The Artix-7 family of xc7a200tsbv484-1 FPGAs can reach a maximum frequency of 200 MHz and a maximum parallelism of 600, and a single receptive field model consumes only 0.142 W of power. This can be useful for building assistive vision systems for small and light devices.
Are Aptamer-Based Biosensors the Future of the Detection of the Human Gut Microbiome?—A Systematic Review and Meta-Analysis
Authors: Moreira Maria João , Pintado Manuela , Almeida José M. M. M. De
Published: September 2024

The gut microbiome is shaped early in life by dietary and lifestyle factors. Specific compounds in the gut affect the growth of different bacterial species and the production of beneficial or harmful byproducts. Dysbiosis of the gut microbiome has been linked to various diseases resulting from the presence of harmful bacteria and their byproducts. Existing methods for detecting microbial species, such as microscopic observation and molecular biological techniques, are costly, labor-intensive, and require skilled personnel. Biosensors, which integrate a recognition element, transducer, amplifier, signal processor, and display unit, can convert biological events into electronic signals. This review provides a comprehensive and systematic survey of scientific publications from 2018 to June 2024, obtained from ScienceDirect, PubMed, and Scopus databases. The aim was to evaluate the current state-of-the-art and identify knowledge gaps in the application of aptamer biosensors for the determination of gut microbiota. A total of 13 eligible publications were categorized based on the type of study: those using microbial bioreceptors (category 1) and those using aptamer bioreceptors (category 2) for the determination of gut microbiota. Point-of-care biosensors are being developed to monitor changes in metabolites that may lead to disease. They are well-suited for use in the healthcare system and offer an excellent alternative to traditional methods. Aptamers are gaining attention due to their stability, specificity, scalability, reproducibility, low production cost, and low immunogenicity. While there is limited research on using aptamers to detect human gut microbiota, they show promise for providing accurate, robust, and cost-effective diagnostic methods for monitoring the gut microbiome.
Data Management in Biobanking: Strategies, Challenges, and Future Directions
Authors: Alkhatib Ramez , Gaede Karoline I.
Published: September 2024

Biobanking plays a pivotal role in biomedical research by providing standardized processing, precise storing, and management of biological sample collections along with the associated data. Effective data management is a prerequisite to ensure the integrity, quality, and accessibility of these resources. This review provides a current landscape of data management in biobanking, discussing key challenges, existing strategies, and potential future directions. We explore multiple aspects of data management, including data collection, storage, curation, sharing, and ethical considerations. By examining the evolving technologies and methodologies in biobanking, we aim to provide insights into addressing the complexities and maximizing the utility of biobank data for research and clinical applications.
Development of Geotechnical Seismic Isolation System in the Form of Vertical Barriers: Effectiveness and Perspective
Authors: Bessimbayev Yerik T. , Shadkam Assylbek S. , Begaliev Ulugbek T. , Begentayev Meiram M. , Suleyev Dossym K. , Zhumadilova Zhanar O. , Irgibayev Tuleukhan I. , Ussipbekov Yerlan Y.
Published: September 2024

This paper discusses the concept of geotechnical seismic isolation (GSI) systems, characterized by new principles of action, to reduce seismic loads on buildings. The advantages and disadvantages of GSIs and their environmental and economic reliability are analyzed. The aim of the study is to develop a geotechnical seismic isolation system in the form of vertical barriers, using a rubber–soil mixture (RSM). The novelty of the work lies in the definition of effective structural and technical solutions of vertical seismic barriers made of RSM, characterized by reliability in providing seismic isolation. The ground and superstructure interactions are modeled in PLAXIS 2D software from 2021, using the finite element method, using the accelerogram of the Kobe and Northridge earthquakes. The results confirm the positive impact of using an RSM as an effective GSI geometrical. The results show that the GSI system using an RSM reduces horizontal accelerations by 60%. Significant acceleration reductions of 40–60% are also observed when the thickness and depth of GSI seismic barriers are increased. The results of the study contribute to the substantiation of methodology and scientific and technical efficiency of geotechnical seismic isolation as an economically favorable design alternative to the traditional seismic isolation system.
Glass Waste as a Valuable Additive (Raw Material) Used for Cement Mortars
Authors: Ogrodnik Paweł , Rutkowska Gabriela , Chyliński Filip , Żółtowski Mariusz , Koda Eugeniusz , Sivasuriyan Arvindan
Published: September 2024

The main objective of this study was to determine the impact of glass waste as a valuable additive in cement mortars. As part of this study, three mortars with different glass waste contents were designed with the addition of 10, 20, and 30% glass waste, as well as a reference mortar without the additive. The selected characteristics of the mixtures were determined, including the consistency, density, air content, and strength properties of the mortar. Strength tests (bending and compressive strength) were performed after 28 and 56 days of maturation. Mortars with the lowest waste content (MC10%) achieved flexural strength of 26% and compressive strength of 18% compared to the average value of standard mortar, whereas MC20% mortars showed a decrease in bending strength of 30% and compressive strength of 24%. Studies have also been conducted to determine the parameters of air trapped in the mortar microstructure and its possible impact on mortar durability in a freezing/thawing environment. A group of experimental studies involved microstructure studies aimed at assessing the changes that occur in mortars containing glass waste. The negative effects of glass waste on the compressive and bending strengths and the positive effect at low temperatures were clearly demonstrated.
Research on Environmental Behavior of Urban Parks in the North of China during Cold Weather—Nankai Park as a Case Study
Authors: Wang Yaxin , Chen Fei
Published: September 2024

The aging of the population is not only a global challenge, but it is also a major concern in the research on environmental behaviors. Urban green spaces are regarded as crucial for the well-being of the elderly. However, there is still a lack of in-depth investigation into the effect of spatial factors on the public activities performed by the elderly in urban parks in cold weather. Therefore, this study is aimed at filling this gap, with Nankai Park in Tianjin as the research object. In order to achieve this purpose, the behavioral patterns of elderly park users are mapped in this paper, based on participatory observation in combination with the collection of spatial data through continuous photography. To begin with, the park space is divided into 23 areas for correlation analysis. UCL Depthmap software is then used for park space syntax analysis, with Tangent used to evaluate the sunshine (shadow) factors. Specific indexes are established to quantify the spatial factors in each area, such as the shortest distance to the exit, the green space ratio, and facility density. GIS (Geographic Information System) is applied for data integration, and SPSS is applied to reveal the correlation between the behavioral data and the selected spatial factors. The key findings are as follows. (1) There are four space syntax indexes closely correlated with the activities that the elderly participate in. (2) The solar (overshadowing) conditions play an important role in the distribution of elderly park users. (3) There is no definitive relationship exhibited by the pattern of activities performed by the elderly with various factors such as number and diversity of seating facilities as well as the quantity and diversity of seating facilities. Finally, this analysis aims to explore research methodology that extends from qualitative observation to quantitative analysis. Future research will focus on the shaping of aging-friendly urban communities, which is expected to deepen our understanding of public activities held within urban parks in cold weather across the northern cities of China.
The Impact of Property Tax Expectations on Household Asset Allocation
Authors: Xu Xinzhe , Wang Jun , Li Zhou
Published: September 2024

Rational asset allocation is central to household wealth accumulation. This paper employs data derived from the 2019 China Household Finance Survey to methodically examine the influence of property tax expectations on the asset allocation decisions of households. This study finds that the expectation of property tax positively influences both the probability of holding risky financial assets and their proportion of household assets. The percentage of housing assets constitutes a substantial negative moderating factor affecting the relationship between property tax expectation and household investments in risky financial assets. The positive effect of property tax expectations is more significant in eastern China. A definite expectation of property tax causes a precautionary saving effect among households. This study highlights that forming reasonable expectations about property taxes can help households adjust their investment portfolios in advance, diversify their asset allocation, and mitigate the impact of changes in property tax policies.
Efficient and Sustainable Biodiesel Production via Transesterification: Catalysts and Operating Conditions
Authors: Yusuf Basiru O. , Oladepo Sulayman A. , Ganiyu Saheed A.
Published: September 2024

Biodiesel has received tremendous attention as a sustainable energy source. This review presents an overview of various catalysts utilized in biodiesel production and compares their potential for producing biodiesel. Presented here are the excellent features of the various catalysts while highlighting their drawbacks. For instance, production of biodiesel with homogeneous base catalysts is easy but it can only be used with refined oils having low levels of free fatty acid (FFAs). When homogeneous acid is used in esterification, it causes reactor corrosion. Water and FFAs do not affect heterogeneous acid catalysts. Thus, transesterification of triglycerides into biodiesel and converting FFAs into biodiesel through esterification can be catalyzed more efficiently using a heterogeneous acid catalyst. Biocatalysts are also being used to produce biodiesel from oils with high FFAs. However, heterogeneous acid catalysts and biocatalysts are not suitable for industrial application due to serious mass transfer limitations. Biodiesel yield and conversion were compared over various catalysts in this paper. Also presented are the effects of different reaction parameters on biodiesel yield over different catalysts. The correct interplay of factors like reaction temperature, time, alcohol-to-oil molar ratio, and catalyst loading produces optimal process conditions that give the highest biodiesel yield.