bluuebunny/crossref_metadata_2025_split huggingface dataset:
Soil Water Flow Affected by Vegetation Root Water Uptake in the Semiarid Region of Mu Us Sandy Land, China
Authors: Zhao Ming , Liu Jiaqi , Ma Yifan , Wang Shuxuan 
Published: September 2024

ABSTRACTVegetation plays an important role in the management of water resources and of the terrestrial vegetation degradation in semiarid regions of China. Detailed descriptions of the actual hydrological process of vegetation root water uptake (RWU) are lacking, and the dynamics of interfaces involved in the process of RWU have not received enough attention. A field in situ experiment with bare land and vegetated land was implemented to investigate soil water flow in vadose zones affected by vegetation RWU. The results revealed that, with the influence of RWU, the soil moisture content was redistributed and impacted evaporation and infiltration; therefore, even the roots were driven to utilize groundwater under intense potential evapotranspiration and water stress. Notably, the thicker vadose zones were beneficial for preserving water resources for bare land, but Salix reduced soil water storage by 1191.13 L compared with bare land, which was adverse for water resource development in semiarid regions. The results provide the basis for the protection of the vegetation environment and water resource management in arid regions.
Remote sensing of temperature‐dependent mosquito and viral traits predicts field surveillance‐based disease risk
Authors: MacDonald Andrew J. , Hyon David , Sambado Samantha , Ring Kacie , Boser Anna 
Published: September 2024

AbstractMosquito‐borne diseases contribute substantially to the global burden of disease, and are strongly influenced by environmental conditions. Ongoing and rapid environmental change necessitates improved understanding of the response of mosquito‐borne diseases to environmental factors like temperature, and novel approaches to mapping and monitoring risk. Recent development of trait‐based mechanistic models has improved understanding of the temperature dependence of transmission, but model predictions remain challenging to validate in the field. Using West Nile virus (WNV) as a case study, we illustrate the use of a novel remote sensing‐based approach to mapping temperature‐dependent mosquito and viral traits at high spatial resolution and across the diurnal cycle. We validate the approach using mosquito and WNV surveillance data controlling for other key factors in the ecology of WNV, finding strong agreement between temperature‐dependent traits and field‐based metrics of risk. Moreover, we find that WNV infection rate in mosquitos exhibits a unimodal relationship with temperature, peaking at ~24.6–25.2°C, in the middle of the 95% credible interval of optimal temperature for transmission of WNV predicted by trait‐based mechanistic models. This study represents one of the highest resolution validations of trait‐based model predictions, and illustrates the utility of a novel remote sensing approach to predicting mosquito‐borne disease risk.
Sample Preservation Solution Increases Nucleic Acid Yield and Environmental RNA Quality in Sediments Across an Estuarine Salinity Gradient
Authors: Keneally Christopher , Gaget Virginie , Kidd Stephen P. , Brookes Justin D. 
Published: September 2024

ABSTRACTEnvironmental nucleic acid‐based assessments are powerful tools for understanding microbial ecology, and environmental degradation in aquatic environments. This approach is particularly useful in guiding restoration in estuaries, some of the most degraded ecosystems in the world. The recent popularity of this approach has been accompanied by a parallel increase in the diversity of applied methods. A range of best practice methods exist across the field that can be employed and are selected based on environmental considerations such as physicochemical gradients, maximizing yield, and quality of nucleic acids sampled across sites within a study area. A consistent approach to intra‐study nucleic acid sampling also ensures accurate comparison between those sites. This study evaluates environmental nucleic acid (eNA) sampling methods across salinity gradients in aquatic ecosystems, focusing on the impact of preservation techniques on environmental DNA (eDNA) yield and environmental RNA (eRNA) yield and quality. Fieldwork was conducted at three sites within the Coorong estuary system in South Australia, representing low salinity, marine, and hypersaline conditions. Snap freezing and LifeGuard preservation solution treatments were applied in situ to compare their effects on nucleic acid yields and eRNA integrity. Snap freezing enhanced eDNA yield in low salinity sediments but negatively impacted eRNA integrity in marine and hypersaline conditions. Conversely, treatment with preservation solution consistently improved both eDNA and eRNA recovery across all salinity levels, which makes this approach a good candidate for preserving eNA molecules across environmental gradients. The study underscores the necessity of tailoring sample preservation methods to specific environmental conditions for accurate eNA‐based microbial community assessments in coastal ecosystems. These findings contribute to the development of robust eNA sampling protocols for benthic communities under varying salinity conditions.
Damage mitigation strategies for progressive collapse of modular steel buildings following sudden corner module removal
Authors: Moeini Milad E. , Yekrangnia Mohammad , Alembagheri Mohammad 
Published: September 2024

AbstractThis study evaluates gravity‐induced progressive collapse performance and damage mitigation strategies in modular steel buildings (MSBs) A typical three‐dimensional six‐story structure was modeled and analyzed using the finite element method, focusing on the instantaneous removal of a corner module. The study includes a parametric evaluation of the influence of beam moment capacity on progressive collapse and investigates the effect of using concrete as an infill for square hollow section columns. Additionally, the effectiveness of short K‐shaped braces in limiting gravity‐induced collapse was assessed. A response/damage index (DI) was proposed to quantify the overall structural response. The findings indicate that semirigid beam‐column connections outperform fully rigid connections. Both concrete‐filled columns and K‐shaped braces mitigate structural damage, with K‐shaped braces proving more effective in preventing collapse. Although increasing the beam moment‐resisting capacity reduced the DI, improvements were marginal beyond 50% of the fully rigid connection capacity. Higher beam moment capacities reduced local vertical displacement at the corner joint but led to undesirable lateral deformations. Reducing beam rigidity/capacity by 25% mitigated global structural deformations. The optimal beam moment capacity was identified as 75% of the total section capacity when using concrete‐filled columns. K‐shaped braces applied at the column midpoint entirely prevented progressive gravity‐induced collapse and no lateral deformations were observed in braced structures with fully rigid beam‐column connections, unlike unbraced structures. Concrete‐filled columns offer a cost‐effective solution for preliminary production of MSBs, while K‐shaped braces are suitable for retrofitting existing buildings. Further research is necessary to address other parameters influencing the mitigation of progressive collapse in MSBs.
Post‐event seismic damage assessment of 2023 M6.2 Gansu Jishishan earthquake based on RED‐ACT system
Authors: Cheng Qingle , Wang Yawei , Dai Danqing , Xi Nan , Tian Yuan , Lu Xinzheng 
Published: September 2024

AbstractIn December 2023, a 6.2 magnitude earthquake struck Jishishan, Gansu Province. This study utilized the Real‐time Earthquake Damage Assessment using City‐scale Time‐history analysis (RED‐ACT) system to analyze the seismic damage caused by the event. The analysis included assessments of strong ground motion records, building damage, and human acceleration feeling. The results indicate the following: (1) The earthquake‐induced significant ground motion. The response spectrum at the 0–1.3 s period range is far above the 7° design‐based and maximum considered earthquake levels, and it also far exceeds the 9° maximum considered earthquake level. How to provide a more scientific and reasonable seismic design standard to ensure the anti‐collapse performance of buildings still requires further in‐depth research. (2) The RED‐ACT analysis results indicate that the destructive power of this earthquake was significant. The strong ground motions recorded near the epicenter could cause a certain number of buildings to collapse, with the collapsed buildings mainly being raw‐earth/wood structures and unreinforced masonry structures. The main damage states of buildings assessed correspond generally with the actual earthquake damage survey results. (3) The RED‐ACT system can provide assessment results of human feeling of acceleration at different locations, and the assessment results take into account the amplification effect of acceleration by different floors, which can provide a reference for post‐earthquake science popularization and for reducing post‐earthquake panic among the population.
Exercise training in left ventricular assist device patients: Protocol of an individual participant data meta‐analysis
Authors: Kambič Tim , Feuerstein Anna , Tran Phuc Thien , Friede Tim , Edelmann Frank , Lainscak Mitja ,   ExTraLVAD Collaborators
Published: September 2024

AbstractAimsAlthough left ventricular assist device (LVAD) implantation improves prognosis of advanced heart failure patients still suffer from impaired exercise capacity and quality of life (QoL). Exercise training may improve both; however, the available evidence about exercise training effects in LVAD patients remains inconclusive due to small and monocentric randomized controlled trials. This study aims to aggregate the individual participant data (IPD) to perform meta‐analysis on the safety and efficacy of exercise training on exercise capacity and QoL over standard care in LVAD patients.MethodsRandomized controlled trials comparing exercise training and standard care (no supervised training) will be identified through database searching. Corresponding authors of eligible randomized controlled trials will be invited to share IPD. All IPD will be checked, recalculated to validate findings in initial reports, merged in a single dataset and stored in a secured encrypted database server. The merged IPD will be screened for quality, risk of bias, and heterogeneity of the included trials. Random effects meta‐analyses will be conducted using one‐stage and two‐stage approaches, in particular with a view to subgroup analyses.ResultsBased on findings of the individual randomized trials, we expected to obtain superior effects of exercise training on submaximal exercise capacity and QoL and similar effects on maximal aerobic capacity when compared with standard care.ConclusionsOur study will be the first to harmonize IPD in meta‐analysis to demonstrate the effects of exercise training on exercise performance and QoL over standard care in LVAD patients.PROSPERO registration numberCRD42023480119
Comparison of different solar dryers with and without heat storage for crop drying: A review
Authors: S. Monesh , Shankar Ashwin , Ezhilarasan S. , Tiwari Sumit , Sahdev Ravinder Kumar , Tiwari Prabhakar 
Published: September 2024

AbstractSolar drying systems have proven to be cost‐effective and environmentally friendly for drying various products. An extensive investigation of solar dryers with different designs, applications, and operating principles is conducted. Compared to direct drying, solar drying improves product quality by lowering moisture content without compromising the original product's qualities. Solar dryers are of two types: passive solar dryers and active solar dryers. Passive‐mode solar dryers circulate air through natural convection, whereas active ones circulate air through forced convection. Crop‐affected design characteristics include crop sensitivity, cost and time available to dry the crop, crop moisture content, the level of drying required, and so on. A wide range of research has been carried out on the thermal modeling of the dryer, using different designs. This article also discussed and compared the drying performance of three basic solar dryers: direct solar dryer, dryer with PVT air collection, and phase change materials (PCM). Even though PCM dryers are more expensive and uncommon, their ability to speed up drying at night makes them impactful.
Research progress in processing technology of rabbit meat
Authors: Deng Yunjia , Nie Qing , Zhou Yanan , Wang Wei , Wu Zhoulin , Ji Lili , Zhang Jiamin , Zhou Decai 
Published: September 2024

AbstractRabbit meat is tender, high in protein, low in fat and cholesterol, and offers several nutritional benefits. However, it has a stronger taste and can be challenging to cook. The global rabbit industry has been developing steadily, and China's total rabbit meat production has exceeded half of the world's total production in 2021. Along with the progress of the production process, the meat of the nutrition and taste at the same time, to improve smell also can get better control, solved the problems met in rabbit meat production. This article discusses the attributes of rabbit meat and outlines the deodorization, texture adjustment, and water retention techniques currently used in rabbit meat processing, aiming to offer a theoretical foundation for the advancement of rabbit meat processing technology.
Deep Learning–Based Enhanced Optimization for Automated Rice Plant Disease Detection and Classification
Authors: Preethi P. , Swathika R. , Kaliraj S. , Premkumar R. , Yogapriya J. 
Published: September 2024

ABSTRACTEnsuring global food security necessitates innovative solutions for early detection and precise classification of diseases in staple crops like rice. This study introduces an advanced approach for automated rice plant disease detection and classification by integrating deep learning and metaheuristic optimization techniques. Specifically, a deep dense neural network (DNN) is employed for its capacity to capture intricate patterns in images and extreme learning machine (ELM) for classification. To enhance the optimization process, an innovative variant of the Shuffled Shepherd Optimization (SSO) algorithm, known as Enhanced Artificial Shuffled Shepherd Optimization (EASSO), is introduced. EASSO incorporates adaptive strategies and enhanced exploration–exploitation mechanisms, enabling more efficient convergence during the training of the DNN. The proposed system operates by processing high‐resolution images of rice plants through the DNN, extracting nuanced features indicative of various diseases, including blast, bacterial blight, and brown spots. EASSO optimizes the DNN's parameters, maximizing its accuracy in disease classification. The synergy between DNN and EASSO ensures a robust and adaptive model capable of handling diverse and complex disease patterns. This automated approach significantly reduces the reliance on manual inspection, enabling timely intervention and improving overall agricultural productivity. Experimental results demonstrate the superiority of the DNN‐EASSO framework over traditional methods, showcasing higher accuracy rates and faster convergence. The incorporation of Enhanced Artificial Shuffled Shepherd Optimization enhances the precision and reliability of disease classification, making this integrated system a valuable tool for farmers and agricultural practitioners. This research represents a significant stride toward sustainable agriculture, showcasing the potential of advanced technologies in ensuring food security worldwide.
Food safety in the Dominican Republic—The current situation and challenges in the public management system
Authors: Vargas Silvia J. R. , Sipes Patricia , Tortosa la Osa Silvia , Ebner Paul 
Published: September 2024

AbstractThe Dominican Republic, like other economically developing countries, has begun to shift national focus away from food security to concentrate on improving food safety and nutrition. The government of the Dominican Republic has promoted and implemented measures aimed at eradicating poverty and malnutrition and reducing the diseases that are a direct consequence of nutritional deficiencies. However, between 2013 and 2018, the Dominican Republic reported approximately 23,000 cases of foodborne illness annually. Additionally, the number of annual cases of acute diarrhea has increased to approximately 80,000 cases per year with a mortality rate (per 100,000 inhabitants) between 5.98 and 6.94. While the etiological agents responsible for these cases are often not identified, foodborne pathogens including Shigella, E. coli, Klebsiella pneumoniae, Salmonella, and Campylobacter have been isolated from food exported from the Dominican Republic as well as locally consumed foods. This review describes the status of food safety in the Dominican Republic. The review focuses on what is known regarding the etiological agents involved in foodborne disease outbreaks in the country, the impact of foodborne disease, measures the Dominican Republic government has taken to ensure the safety of both exported foods and foods consumed locally, barriers to improving food safety, as well as current and emerging food safety challenges.
On the health effects of curcumin and its derivatives
Authors: Ayub Hudda , Islam Mahad , Saeed Munnaza , Ahmad Husnat , Al‐Asmari Fahad , Ramadan Mohamed Fawzy , Alissa Mohammed , Arif Muhammad Adnan , Rana Muhammad Umair Jamil , Subtain Muhammad , Rahim Muhammad Abdul , Zongo Eliasse , Ahmad Nazir 
Published: September 2024

AbstractTurmeric (Curcuma longa) is an herbaceous plant that contains a phytochemical which is bright yellow and is known as curcumin. Turmeric, a member of Zingiberaceae family, has extensive application worldwide due to its beneficial medicinal attributes and is extensively used as a medicinal plant. Most people use turmeric as a spice, and it is a chief source of polyphenol curcumin. Curcuma longa has therapeutic properties, and since the initial extraction of curcumin from this plant, it has gained prodigious consideration from scientists in the medical field. The biological properties of curcumin, also known as 1,7‐bis (4‐hydroxy‐3‐methoxyphenyl)‐1,6‐heptadiene‐3,5‐dione, or diferuloylmethane, include anti‐inflammatory, anti‐oxidant, anti‐cancer, anti‐asthmatic, anti‐arthritic, neuroprotective, anti‐diabetic, anti‐obesity, wound‐healing, hepatoprotective, skin curative, reproductive role, etc. This work has reviewed many clinical trials and their findings about these activities. The focus of this review manuscript is concentrated on the presently existing clinical and animal studies, which exposed the possible anti‐retroviral activities of curcumin and its by‐products.
Development of maize‐based instant porridge flour formulated using sweet lupine, orange‐fleshed sweet potato, and moringa leaf powder
Authors: Dessta Tsiyonemariam Nega , Terefe Zemenu Kerie 
Published: September 2024

AbstractMalnutrition and food insecurity are major public health problems in developing countries including Ethiopia. Because of an economic issue and information gap, developing countries' survival depends on foods rich in carbohydrates but deficient in protein and micronutrients. However, it is paramount to mix ingredients that complement different nutritional profiles to alleviate the problem of malnutrition. Hence, in this research, maize, orange‐fleshed sweet potato, sweet lupine, and moringa leaf powder composites were used to develop nutritious instant porridge flour through extrusion cooking. Formulations containing powdered maize, orange‐fleshed sweet potato, sweet lupine, and moringa leaf were developed in the following ratios: 100:0:0:0, 50:35:10:5, 45:30:15:10, and 40:25:20:15, respectively. A completely randomized design was used to determine the blending effect on the functional properties, proximate composition, minerals, and beta‐carotene content of formulated instant porridge flour. Whereas, a randomized complete block design was used for the organoleptic characteristics data. Accordingly, the addition of orange‐fleshed sweet potato, sweet lupine, and moringa leaf powder to maize‐based porridge showed a significant (p < .05) increase in bulk density (0.70 ± 0.02 to 0.74 ± 0.03), water solubility index (10.09 ± 0.08 to 14.16 ± 0.23), protein (9.00 ± 0.00 to 21.10 ± 0.02), ash (1.43 ± 0.07 to 3.36 ± 0.08), fiber (1.55 ± 0.05 to 3.21 ± 0.01), fat (3.37 ± 0.02 to 5.37 ± 0.07), energy (370.89 ± 0.70 to 400.53 ± 0.65), vitamin A (0.00 to 41.00 ± 1.55), iron (3.49 ± 0.02 to 9.58 ± 0.29), zinc (2.89 ± 0.01 to 3.62 ± 0.06), and calcium (40.49 ± 0.42 to 113.34 ± 0.52) contents. However, water absorption index (4.76 ± 0.01 to 3.84 ± 0.01), moisture (8.50 ± 0.08 to 5.60 ± 0.04), and carbohydrate (76.11 ± 0.22 to 66.94 ± 0.02) content were decreased as a result of blending proportion compared to maize porridge (control). Formulated instant maize‐based porridge prepared from 50% maize, 35% orange‐fleshed sweet potato, 10% sweet lupine, and 5% moringa leaf powder scored the highest (above 4 out of 5 in a 5‐point hedonic scale) in all sensory attributes. In conclusion, the addition of orange‐fleshed sweet potato, sweet lupine flour, and moringa leaf powder has improved both macro‐ and micronutrients. Therefore, the development of nutritious maize‐based instant porridge formulated from readily available and underutilized crops can be achieved by extrusion cooking that helps to reduce the prevalence of malnutrition and food insecurity.
Evaluation of the effect of tartrazine on the offspring rats in an in vivo experimental model
Authors: Öztürk Osman , Dikici Yusuf , Gür Öznur , Ocak Mert , Doğanyiğit Züleyha , Okan Aslı , Arıkan Söylemez Evrim Suna , Ateş Şükrü , Uçar Sümeyye , Unal Mustafa , Yılmaz Seher 
Published: September 2024

AbstractTartrazine, an azo dye prevalent in pharmaceuticals and food items, was investigated for its impact on fetal development, specifically examining visceral and skeletal abnormalities in rat offspring exposed to daily oral doses throughout pregnancy. Fourteen pregnant rats were randomly assigned to control and tartrazine groups (seven animals each), with tartrazine administered via oral gavage at 7.5 mg/kg throughout gestation. Offspring were categorized by gender for histopathological and genetic analysis of visceral structures. Bone quality and fracture resistance assessments involved micro‐CT, Raman spectroscopy, and biomechanical testing. Results highlighted distinct internal organ tissue differences in the tartrazine group, notably increased hemorrhagic and inflammatory cell infiltration, degeneration, and vacuolization compared to controls. Gender‐specific alterations in mRNA levels of IL‐6, IL‐1β, TNF‐α, and TRPM2 genes (p < .001) were also noted. Moreover, tartrazine‐exposed groups exhibited reduced trabecular thickness, bone volume, and significant alterations in bone matrix composition and quality alongside significant decreases in fracture resistance (p < 0.05). This study concludes that intrauterine exposure to tartrazine can result in adverse impacts on organ and bone development in rat offspring.