bluuebunny/crossref_metadata_2025 huggingface dataset:
Developing a brief telematic cognitive behavioral therapy for the treatment of social isolation in young adults
Authors: Rossetti Maria Gloria , Perlini Cinzia , Girelli Francesca , Zovetti Niccolò , Brambilla Paolo , Bressi Cinzia , Bellani Marcella
Published: August 2024

Objective

The present study aims to present a novel cognitive-behavioral intervention protocol focused on treating social isolation through telematic interaction, thus overcoming common barriers characteristic of face-to-face interventions.

Methods

We examined current literature about face-to-face and telematic psychotherapeutic interventions for the treatment of social isolation in early adulthood. Current evidence is mixed, suggesting the need to develop novel interventions focused on patients’ cognitive functioning. Moreover, telematic interventions are promising candidates for overcoming common barriers intrinsic to the condition of social isolation.

Results

The present 8-session model inspired by cognitive behavioral theoretical models and cognitive interventions currently present in the literature is thought to help socially isolated adult patients reduce clinical symptoms associated with the condition and lead to a reduction in the avoidance of social situations, leading to an improvement of the quality of life.

Conclusion

We presented a telematic psychotherapeutic intervention aimed at helping adult patients suffering from social isolation who are unable to seek help from national health systems and face-to-face interventions, thus overcoming barriers intrinsic to social isolation. The present cognitive-behavioral treatment protocol has been developed in the context of a randomized clinical trial ongoing in Italy, aimed at implementing and testing the feasibility and effectiveness of multimodal digital interventions for treating social isolation.
Attachment styles and empathy in trainee nurses: the mediating and moderating roles of attitudes toward death
Authors: Wei Ting , Guo Meiyi , Jin Huanle , Zhang Bingren
Published: August 2024

Aim

A growing body of evidence has shown that attachment styles and death attitudes have a significant impact on empathy. This study aimed to explore the precise role of death attitudes in the relationship between attachment styles and empathy levels among trainee nurses.

Methods

A total of 626 Chinese trainee nurses with different attachment types were enrolled, and their attachment styles, death attitudes, and empathy levels were assessed using the Revised Adult Attachment Scale, the Death Attitude Profile-Revised, and the Jefferson Scale of Empathy-Healthy Professionals, and finally, data from 566 participants were included for statistical analysis.

Results

We found that among trainee nurses with secure attachment type, fear of death, approach acceptance, escape acceptance, and neutral acceptance (−) mediated the relationships between attachment-related avoidance/anxiety and their overall empathy levels and all its dimensions; in the preoccupied type, only neutral acceptance (−) mediated the relationships between attachment-related avoidance and their overall empathy levels and compassionate care; and in the fearful type, only fear of death mediated the relationship between attachment-related avoidance and compassionate care. Furthermore, in the secure type, neutral acceptance attenuated the negative predictions of attachment-related avoidance on overall empathy level and perspective taking.

Conclusion

Attitudes toward death played different mediating and moderating roles in the relationship between attachment styles and empathy among trainee nurses with different attachment types. In addition to acculturated empathy-specific training, targeted education related to death for trainee nurses with different attachment types is needed to prevent their compassion fatigue.
Childhood obesity and comorbidities-related perspective and experience of parents from Black and Asian minority ethnicities in England: a qualitative study
Authors: Obita George , Burns Mark , Nnyanzi Lawrence Achilles , Kuo Chia-Hua , Barengo Noël C. , Alkhatib Ahmad
Published: August 2024

Background

Preventing childhood obesity and associated comorbidities is often hampered by disproportionate disparity in healthcare provision in minority ethnic populations. This study contextualized factors influencing childhood obesity and related comorbidity from the perspectives and experiences of parents of ethnic minority populations.

Methods

Following ethical approval, families (n = 180) from ethnic minority populations in the Northeast of England were contacted through flyers, community social groups and online forum. Of the 180 families contacted, 22 expressed interests, of whom 12 parents were eligible to participate in the study, and one family dropped out due to time constraints. Therefore 11 parents from ethnic minority communities living with at least one child with obesity were interviewed. Each family was separately visited at home and took part in a semi-structured interview based on the study’s qualitative, descriptive phenomenological design. Nine of the families had one child who was diagnosed with an obesity-related comorbidity (non-alcoholic fatty liver disease, musculoskeletal problems or respiratory disorder). Semi-structured interviews were standardized around parents’ perspective and experience on how their children were impacted by obesity and comorbidities, healthcare preventative interventions including lifestyle physical activity and nutrition, and views on tackling obesity impact on their lives. All interviews were analyzed using qualitative thematic analysis.

Results

Parents’ perspectives revealed 11 themes centered around experience of living with a child with obesity, risks, and impact of obesity related Non-Communicable Diseases; and access to support, and barriers unique to minority ethnic groups. Parents revealed social disadvantages, fear of victimization by social services, perceptions on their cultural and religious traditions, and racial stigmatization related to their child’s weight. Parents reported closer bonding with their children to protect them from the untoward consequences of overweight, and little awareness of healthcare obesity prevention programs. Work pressure, lack of time, absence of guidance from professionals were seen as barriers to healthy lifestyle, while support from friends and closer family bond in adopting healthy lifestyle behaviors were facilitators. However, there was little awareness or access to current healthcare obesity preventive offerings.

Conclusion

Minority ethnic communities’ perspective on childhood obesity prevention does not match the healthcare system preventative offerings. Community and family-oriented obesity preventative approaches, especially lifestyle interventions are needed beyond those administered by the primary healthcare system.
The relationship between accelerometer-based physical activity, sedentary behavior, and seven common geriatric syndromes: a two-sample Mendelian randomization study
Authors: Chen Jiping , Lu Yanyu , Yao JiaWei , Zhang Xianliang , Pan Yang
Published: August 2024

Introduction

To investigate the causal associations between accelerometer-based physical activity (PA), sedentary behavior (SB), and seven common geriatric syndromes (GSs) (frailty, falls, delirium, urinary incontinence, dysphagia, hearing loss, and visual impairment) by Mendelian randomization (MR) analysis.

Methods

Instrumental variables from a genome-wide association study were used for MR analysis. The exposure factors were three PA phenotypes (average acceleration, overall activity, and moderate-intensity activity) and one SB phenotype (SB). The outcome variables were seven common GSs. The inverse variance weighted (IVW) method was utilized for the primary MR analysis. Additionally, sensitivity, pleiotropy, and heterogeneity analyses were subsequently conducted to assess the robustness of the present study’s findings.

Results

According to the primary MR results obtained using the IVW method, genetically predicted PA (average acceleration) decreased the risk of two GSs (frailty, p = 0.01; dysphagia, p = 0.03). Similarly, overall activity decreased the risk of two GSs (frailty, p = 0.01; delirium, p = 0.03), and moderate-intensity activity reduced the risk of three GSs (urinary incontinence, p = 0.04; hearing loss, p = 0.02; visual impairment, p = 0.01). Furthermore, SB was causally correlated with a greater risk for three GSs (frailty, p = 0.03; fall, p = 0.01; dysphagia, p = 0.04).

Conclusion

This study provided evidence that accelerometer-based PA may be causally associated with a lower risk of GSs, while SB may increase the risk of GSs.
Diversity and practice: local decision-making practices on multi-cultural diets for British Muslim school children (BMSC) and implications for social justice
Authors: Sattar Zeibeda , Carr Susan M. , Lochhead Lydia , Defeyter Margaret Anne
Published: August 2024

Introduction

British Muslim School Children (BMSC) are required to follow special halal dietary requirements in accordance with their religion, which is often not accounted for in British schools. This often leaves BMSC limited to a vegetarian diet while at school, despite this not being their chosen diet or preference. This study explores the perceptions of key stakeholders regarding fairness and accessibility of school meals for BMSC, as well as discussing school food provision for those maintaining a religious diet in light of social justice. This is in the context of limited knowledge previously being explored in the North East of England regarding procurement and decision-making at a systems level to cater for BMSC.

Methods

A qualitative research design was conducted. A total of 62 participants (39 BMSC, 15 parents, and 8 school and catering staff) took part in a semi-structured interview or focus group. Participants were recruited from six schools, with these schools selected based on their differing levels of BMSC in attendance. This project took place between March 2022 and October 2023.

Results/discussion

Results suggested that where schools already catered for diverse food requirements, inclusive of BMSC dietary needs, food choices were still limited in the options and amount available. School and catering staff stated that cost implications contributed to their menu development process. Despite this, there was an evident willingness to learn about the cultural food options and how these can be implemented in future school menus. Suggestions discussed included an increase in the use of halal meat in order to provide a more inclusive school food experience for BMSC.
Recovery of balance and walking in people with ataxia after acute cerebral stroke: study protocol for a prospective, monocentric, single-blinded, randomized controlled trial
Authors: Meier Patricia , Mayer-Suess Lukas , Kiechl Stefan , Pachmann Ulrike , Greimann Raphaela , Kofler Markus , Brenneis Christian , Grams Astrid , Steiger Ruth , Seebacher Barbara
Published: August 2024

Introduction

Posterior circulation stroke can lead to ataxia, manifesting in a loss of coordination and balance. Patients experience difficulty in activities of daily living and an increased risk of falling, both profoundly affecting quality of life. In individuals with neurodegenerative diseases, coordination exercises have been shown to lead to a reduction in ataxic symptoms. There is, however, limited evidence on the effect of physical therapy, specifically coordination exercises in patients with stroke-related ataxia. We therefore present a study protocol for a prospective trial.

Methods

The purpose of this trial is to investigate the effects of coordination exercises compared to standard physiotherapy on balance and walking in ataxic stroke patients. Therefore, a prospective, single-blinded randomized controlled trial is currently ongoing at the Clinical Department of Neurology, Medical University of Innsbruck, Austria, in collaboration with two local rehabilitation facilities in Austria, Hochzirl Hospital and the Clinic for Rehabilitation Münster. Balance is the primary outcome of the study as assessed using the Berg Balance Scale. Secondary outcomes are concerned with walking, risk and number of falls, independence in daily life, and quality of life, rated using appropriate scales and scores. Patients are allocated applying a 1:1 ratio and a stratified block randomization. In both groups recruited individuals undergo five 45-min treatment sessions per week, totaling 20 sessions of coordination exercises (IG) or standard physiotherapy (CG) over the course of 4 weeks. Data is collected at the baseline (T0), after the 4-week supervised practice (T1), and after another 8 weeks of independent home-based training (T2).

Discussion

This is the first randomized controlled trial investigating the effects of coordination exercises on balance and walking in people with stroke-related ataxia. As stroke guidelines emphasize the limited evidence of treatment for ataxic symptoms, this study aims to contribute further knowledge regarding tailored interventions for these patients.

Clinical Trial Registration

German Clinical Trials Registry (drks.de). Identifier: DRKS00020825.
Application studies on MXene-based flexible composites
Authors: Li Pinda , Zhao Xueling , Ding Yaxin , Chen Lifei , Wang Xin , Xie Huaqing
Published: August 2024

MXene is a novel two-dimensional layered nanomaterial with a very large specific surface area and abundant surface functional groups, endowing it with unique physical and chemical properties. MXene can be compounded with other functional materials to significantly improve the performance of MXene composites or broaden their application scope. Meanwhile, with the development of flexible composite preparation technology, it has promoted the continuous expansion of its application fields. The introduction and combination of different materials can improve the performance of flexible composites and make them have a broader application prospect. In recent years, researchers have started preparing MXene materials as flexible composites for applications such as supercapacitors, sensors, electromagnetic shielding and thermal management. This paper gives a brief introduction to flexible composites and MXene materials, reviews the applications of MXene based flexible composites in various fields as well as the research progress, and provides an outlook on their future development direction.
Structural Optimization of a Giant Magnetostrictive Actuator Based on BP-NSGA-II Algorithm
Authors: Liu Yang , Meng Jianjun , Li Tailong
Published: August 2024

This study introduces an integrated structural optimization design method based on a BP neural network and NSGA-II multi-objective genetic algorithm. Initially, a two-dimensional axisymmetric finite element model of the Giant Magnetostrictive Actuator (GMA) was established, and the coupling simulation of the electromagnetic field, structural field, and temperature field was conducted to obtain the GMA’s performance parameters. Subsequently, the structural parameters of the GMA magnetic circuit, including the magnetic conducting ring, magnetic conducting sidewall, magnetic conducting body, and coil, were used as inputs, and the axial magnetic induction intensity, uniformity of axial magnetic induction intensity, and coil loss on the Giant Magnetostrictive Material (GMM) rod were used as outputs to establish a back propagation (BP) neural network model. This model delineated the nonlinear relationship between structural parameters and performance parameters. Then, the BP-NSGA-II algorithm was applied to perform multi-objective optimization on the actuator’s structural parameters, resulting in a set of Pareto optimal non-dominated solutions, from which a set of optimal solutions was obtained using the entropy weight method. Finally, simulation analysis of this optimal solution was conducted, indicating that under a 5 A power supply excitation, the maximum axial magnetic induction intensity on the optimized GMM rod increased from 0.87 T to 1.12 T; the uniformity of axial magnetic induction intensity improved from 93.1% to 96.5%; and the coil loss decreased from 7.79 × 104 W/m3 to 4.97 × 104 W/m3. Based on the optimization results, a prototype actuator was produced, and the test results of the prototype’s output characteristics proved the feasibility of this optimization design method.
EA-CTFVS: An Environment-Agnostic Coarse-to-Fine Visual Servoing Method for Sub-Millimeter-Accurate Assembly
Authors: Bai Yuxuan , Dong Mingshuai , Wei Shimin , Yu Xiuli
Published: August 2024

Peg-in-hole assembly, a crucial component of robotic automation in manufacturing, continues to pose challenges due to its strict tolerance requirements. To date, most conventional peg-in-hole assembly algorithms have been validated only within simulated environments or under limited observational scenarios. In this paper, an environment-agnostic coarse-to-fine visual servoing (EA-CTFVS) assembly algorithm is proposed. Firstly, to solve the frequent issue of visual blindness during visual servoing, a bottleneck pose is proposed to be used as the desired pose for the visual servoing. Secondly, to achieve accurate assembly, a coarse-to-fine framework is constructed, in which a rough pose is given by the coarse controller to remove large initial alignment errors. For the fine controller, a twin network-based fine controller is provided to improve assembly accuracy. Furthermore, EA-CTFVS utilizes the Oriented Bounding Box (OBB) of objects as the input for visual servoing, which guarantees the system’s ability to operate effectively in diverse and complex scenes. The proposed EA-CTFVS achieves a successful assembly rate of 0.92/0.89 for initial alignment errors of 15/30 cm and 0.6 mm tolerance in real-world D-sub plug assembly tasks under complex scenarios.
Rapid and Non-Destructive Geographical Origin Identification of Chuanxiong Slices Using Near-Infrared Spectroscopy and Convolutional Neural Networks
Authors: Huang Yuxing , Pan Yang , Liu Chong , Zhou Lan , Tang Lijuan , Wei Huayi , Fan Ke , Wang Aichen , Tang Yong
Published: August 2024

Ligusticum Chuanxiong, a perennial herb of considerable medicinal value commonly known as Chuanxiong, holds pivotal importance in sliced form for ensuring quality and regulating markets through geographical origin identification. This study introduces an integrated approach utilizing Near-Infrared Spectroscopy (NIRS) and Convolutional Neural Networks (CNNs) to establish an efficient method for rapidly determining the geographical origin of Chuanxiong slices. A dataset comprising 300 samples from 6 distinct origins was analyzed using a 1D-CNN model. In this study, we initially established a traditional classification model. By utilizing the Spectrum Outlier feature in TQ-Analyst 9 software to exclude outliers, we have enhanced the performance of the model. After evaluating various spectral preprocessing techniques, we selected Savitzky–Golay filtering combined with Multiplicative Scatter Correction (S-G + MSC) to process the raw spectral data. This approach significantly improved the predictive accuracy of the model. After 2000 iterations of training, the CNN model achieved a prediction accuracy of 92.22%, marking a 12.09% improvement over traditional methods. The application of the Class Activation Mapping algorithm not only visualized the feature extraction process but also enhanced the traditional model’s classification accuracy by an additional 7.41% when integrated with features extracted from the CNN model. This research provides a powerful tool for the quality control of Chuanxiong slices and presents a novel perspective on the quality inspection of other agricultural products.
Crop Density and Sowing Timing Effect on Tan Spot Occurrence in Spring Wheat
Authors: Lukošiūtė-Stasiukonienė Agnė , Almogdad Mohammad , Semaškienė Roma , Mačiulytė Viktorija
Published: August 2024

Tan spot (Pyrenophora tritici-repentis) is presenting a persistent challenge to the plant health and yield of all wheat-growing regions. This research is focused on tan spot disease management in spring wheat when planted at three distinct times and with three different seeding rates without the use of fungicides. Across all years, higher seed rates (500 and 600 seeds per m2) generally resulted in lower tan spot intensity compared to the lower seed rate (400 seeds per m2). Significant differences in tan spot intensity were observed across seed rates at all sowing times. In 2021, the percentage of the AUDPC was significantly higher in the late sowing time (324.58%), with about a 2-fold difference compared with the early (167.48%) and optimal sowing time (191.80%). This suggests that delayed sowing significantly exacerbates disease occurrence. The combined effect of sowing time and year on the AUDPC was notably significant. The AUDPC of the tan spot in all seed rates was the highest in the late sowing time plots in comparison to the ideal and initial planting dates plots. Our results demonstrate how important seed rate and sowing timing are in determining the degree of tan spot in spring wheat. Growing crop methods may be improved by taking these elements into account to better control tan spots. More agricultural methods and environmental aspects should be investigated in future studies to create all-encompassing tan spot control plans.
Refinement of Cropland Data Layer with Effective Confidence Layer Interval and Image Filtering
Authors: Maleki Reza , Wu Falin , Oubara Amel , Fathollahi Loghman , Yang Gongliu
Published: August 2024

Various systems have been developed to process agricultural land data for better management of crop production. One such system is Cropland Data Layer (CDL), produced by the National Agricultural Statistics Service of the United States Department of Agriculture (USDA). The CDL has been widely used for training deep learning (DL) segmentation models. However, it contains various errors, such as salt-and-pepper noise, and must be refined before being used in DL training. In this study, we used two approaches to refine the CDL for DL segmentation of major crops from a time series of Sentinel-2 monthly composite images. Firstly, different confidence intervals of the confidence layer were used to refine the CDL. Secondly, several image filters were employed to improve data quality. The refined CDLs were then used as the ground-truth in DL segmentation training and evaluation. The results demonstrate that the CDL with +45% and +55% confidence intervals produced the best results, improving the accuracy of DL segmentation by approximately 1% compared to non-refined data. Additionally, filtering the CDL using the majority and expand–shrink filters yielded the best performance, enhancing the evaluation metrics by about 1.5%. The findings suggest that pre-filtering the CDL and selecting an effective confidence interval can significantly improve DL segmentation performance, contributing to more accurate and reliable agricultural monitoring.
Advancing Farm Entrepreneurship and Agribusiness Management for Sustainable Agriculture
Authors: Gadanakis Yiorgos
Published: August 2024

The agricultural sector in both developed and developing countries stands at a pivotal juncture [...]
Konjac Glucomannan Oligosaccharides (KGMOS) Confers Innate Immunity against Phytophthora nicotianae in Tobacco
Authors: Rajib Md Mijanur Rahman , Li Kuikui , Bhuiyan Md Saikat Hossain , Wang Wenxia , Gao Jin , Yin Heng
Published: August 2024

In this study, KGMOS (DP, 2-13), derived from KGM (Konjac glucomannan), was applied to elucidate plant immunity in a Nicotiana benthamiana Phytophthora nicotianae model. Application of KGMOS (25–100 mg/L) notably inhibited P. nicotianae, resulting in reduced disease indices and a significant accumulation of defense molecules such as H2O2 and callose. Transcriptomic analysis revealed that genes shared between KGMOS-treated and control plants are involved in signaling pathways, transcription regulation, hydrogen peroxide catabolism, and oxidative stress response. This suggests that KGMOS triggers H2O2 accumulation, callose deposition, and activation of the salicylic acid (SA) and jasmonic acid/ethylene (JA/ET) pathways after pathogen inoculation. Upregulated defense-response genes in the KGMOS group included SA-related late blight-resistant, pathogenesis-related (PR), and JA/ET-related ethylene response factor (ERF) genes. Heatmap analysis showed more upregulated defense genes (PR and NPR) related to SA in the KGMOS-treated group than in controls. RT-qPCR validation revealed significant upregulation of SA and JA/ET pathway genes in KGMOS-treated plants. Higher SA content in these plants suggests enhanced disease resistance. This study concludes that KGMOS pre-treatment induced resistance against P. nicotianae, especially at a lower concentration (25 mg/L). These findings could offer valuable insights for the future application of KGMOS in controlling plant diseases for sustainable agriculture and postharvest management.
Soil Health Intensification through Strengthening Soil Structure Improves Soil Carbon Sequestration
Authors: Hatano Ryusuke , Mukumbuta Ikabongo , Shimizu Mariko
Published: August 2024

Intensifying soil health means managing soils to enable sustainable crop production and improved environmental impact. This paper discusses soil health intensification by reviewing studies on the relationship between soil structure, soil organic matter (SOM), and ecosystem carbon budget. SOM is strongly involved in the development of soil structure, nutrient and water supply power, and acid buffering power, and is the most fundamental parameter for testing soil health. At the same time, SOM can be both a source and a sink for atmospheric carbon. A comparison of the ratio of soil organic carbon to clay content (SOC/Clay) is used as an indicator of soil structure status for soil health, and it has shown significantly lower values in cropland than in grassland and forest soils. This clearly shows that depletion of SOM leads to degradation of soil structure status. On the other hand, improving soil structure can lead to increasing soil carbon sequestration. Promoting soil carbon sequestration means making the net ecosystem carbon balance (NECB) positive. Furthermore, to mitigate climate change, it is necessary to aim for carbon sequestration that can improve the net greenhouse gas balance (NGB) by serving as a sink for greenhouse gases (GHG). The results of a manure application test in four managed grasslands on Andosols in Japan showed that it was necessary to apply more than 2.5 tC ha−1 y−1 of manure to avoid reduction and loss of SOC in the field. Furthermore, in order to offset the increase in GHG emissions due to N2O emissions from increased manure nitrogen input, it was necessary to apply more than 3.5 tC ha−1y−1 of manure. To intensify soil health, it is increasingly important to consider soil management with organic fertilizers that reduce chemical fertilizers without reducing yields.
Spectrophotometric-Based Sensor for the Detection of Multiple Fertilizer Solutions
Authors: Li Jianian , Wu Zhuoyuan , Liang Jiawen , Gao Yuan , Wang Chenglin
Published: August 2024

The online detection of fertilizer solution information is a crucial link in the implementation of intelligent and precise variable fertilization techniques. However, achieving simultaneous rapid online detection of multiple fertilizer components is still challenging. Therefore, a rapid detection method based on spectrophotometry for qualitative and quantitative identification of four fertilizers (typical N, P, and K fertilizers: KNO3, (NH4)2SO4, KH2PO4, and K2SO4) was proposed in this work. Full-scan absorption spectra of fertilizer solutions at varying concentrations were obtained using a UV–visible/near-infrared spectrophotometer. By assessing the linear fit between fertilizer concentration and absorbance at each wavelength within the characteristic band, the characteristic wavelengths for KNO3, (NH4)2SO4, KH2PO4, and K2SO4 were identified as 214 nm, 410 nm, 712 nm, and 1708 nm, respectively. The identification method of fertilizer type and the prediction model of concentration were constructed based on characteristic wavelength and the Lambert–Beer law. Based on the above analysis, a four-channel photoelectric sensor was designed with four LEDs emitting wavelengths closely matched to characteristic wavelengths for fertilizer detection. A detection strategy of “qualitative analysis followed by quantitative detection” was proposed to realize the online detection of four fertilizer types and their concentrations. Evaluation of the sensor’s performance showed its high stability, with an accuracy of 81.5% in recognizing fertilizer types. Furthermore, the relative error of the sensor detection was substantially less than ±15% for the fertilizer concentrations not exceeding 80 mg/L. These results confirm the capability of the sensor to meet the practical requirements for online detection of four fertilizer types and concentrations in the field of agricultural engineering.
A Review on Mastitis in Dairy Cows Research: Current Status and Future Perspectives
Authors: Stanek Piotr , Żółkiewski Paweł , Januś Ewa
Published: August 2024

One of the most serious diseases affecting dairy cattle, causing significant losses both in breeding and economy, is mastitis, an inflammation of the mammary gland. Due to the economic importance of this issue, many research teams are striving to develop an easy-to-apply and, most importantly, effective method to prevent mastitis. The use of traditional methods for mastitis detecting and treating, as well as improvement in hygienic conditions, have not yielded the expected results in combating this disease combating. Currently, the main task is to find the tools that would allow for the rapid detection of mastitis and the improvement of udder health in cows while maintaining high milk production, which is essential for the profitability of dairy cattle farming. Accurate and rapid diagnostic tools, with the simultaneous capability of identifying pathogens, may help to reduce losses. Sufficient sensitivity and specificity for tests are required to minimize the number of false-positive and false-negative cases. Efforts are also being made to determine the optimal threshold value for detecting the disease at its earliest possible stage. The estimation of somatic cell count (SCC) as a phenotypic indicator of mastitis is widely used. A more precise parameter for accurately describing udder health is the differential somatic cell count (DSCC). The well-known California Mastitis Test (CMT) is an inexpensive, easy, and rapid method for mastitis detection useful on farms. The latest diagnostic methods for mastitis utilize tests based on the activity of N-acetyl-β-d-glucosaminidase (NAGase) or lactate dehydrogenase (LDH) as well as the determination of acute phase proteins (APPs) in blood serum and milk (such as haptoglobin, serum amyloid A, fibrinogen, and ceruloplasmin). Research also focuses on the genomic improvement of mastitis resistance in successive generations, and for this purpose, many quantitative trait loci (QTLs) and single nucleotide polymorphisms (SNPs) have been identified. In recent years, immunotherapy has become an increasingly common area of research, including vaccinations, T/B cell immunotherapy, RNA immunotherapy, epigenetic immunotherapy, stem cell therapy, and native secretory factors. An important aspect of the control of mastitis is the implementation of strategies that focus primarily on preventing the disease through appropriate breeding and farm management practices. In the forthcoming years, a significant challenge will be the development of universal diagnostic and therapeutic strategies that can be effectively implemented as alternatives to antibiotic therapy. Future research should prioritize the advancement of preventive and therapeutic techniques, such as immunotherapies, bacteriocins, herbal therapy, and nanoparticle technology.
A Multi-Area Task Path-Planning Algorithm for Agricultural Drones Based on Improved Double Deep Q-Learning Net
Authors: Li Jian , Zhang Weijian , Ren Junfeng , Yu Weilin , Wang Guowei , Ding Peng , Wang Jiawei , Zhang Xuen
Published: August 2024

With the global population growth and increasing food demand, the development of precision agriculture has become particularly critical. In precision agriculture, accurately identifying areas of nitrogen stress in crops and planning precise fertilization paths are crucial. However, traditional coverage path-planning (CPP) typically considers only single-area tasks and overlooks the multi-area tasks CPP. To address this problem, this study proposed a Regional Framework for Coverage Path-Planning for Precision Fertilization (RFCPPF) for crop protection UAVs in multi-area tasks. This framework includes three modules: nitrogen stress spatial distribution extraction, multi-area tasks environmental map construction, and coverage path-planning. Firstly, Sentinel-2 remote-sensing images are processed using the Google Earth Engine (GEE) platform, and the Green Normalized Difference Vegetation Index (GNDVI) is calculated to extract the spatial distribution of nitrogen stress. A multi-area tasks environmental map is constructed to guide multiple UAV agents. Subsequently, improvements based on the Double Deep Q Network (DDQN) are introduced, incorporating Long Short-Term Memory (LSTM) and dueling network structures. Additionally, a multi-objective reward function and a state and action selection strategy suitable for stress area plant protection operations are designed. Simulation experiments verify the superiority of the proposed method in reducing redundant paths and improving coverage efficiency. The proposed improved DDQN achieved an overall step count that is 60.71% of MLP-DDQN and 90.55% of Breadth-First Search–Boustrophedon Algorithm (BFS-BA). Additionally, the total repeated coverage rate was reduced by 7.06% compared to MLP-DDQN and by 8.82% compared to BFS-BA.
Vertical Spatial Differentiation and Influencing Factors of Rural Livelihood Resilience: Evidence from the Mountainous Areas of Southwest China
Authors: Zhu Siji , Sun Jun , Wu Yingmei , Lu Qingping , Ke Yuechang , Xue Zhixuan , Zhu Guifang , Xiao Yiting
Published: August 2024

Rural livelihood resilience (RLR) is significant for the sustainability of rural areas, farmers and agriculture. This research takes the mountainous areas of Southwest China as the study areas and integrates the buffer, adjustment and renewal capabilities to construct a RLR analysis framework and evaluation indicator system. The RLR of 234 sample counties was evaluated using set pair analysis, and the influencing factors of RLR were investigated using Geodetector. The aim is to scientifically analyze the vertical spatial differentiation and influencing factors of RLR and fully explore the risk-resistant potential of rural livelihood systems in mountainous areas. The results show that (1) From 2000 to 2020, RLR increases significantly, but the level is still low, and its structure shows a primary pattern of “buffer capability > adjustment capability > renewal capability”. (2) There is no significant negative correlation between RLR and terrain gradients, especially in the middle and low mountains. RLR in high mountainous areas is significantly lower than in low and medium mountainous areas, but the gap is narrowing. There are no significant gaps in RLR and various capabilities between low and medium mountain areas. (3) Economic development, non-agricultural industries and grassroots autonomous organizations are essential determinants for RLR. Economic development, grassroots autonomous organizations and transportation conditions are more important in low and medium mountain areas, while non-agricultural industries and medical conditions contribute more to high mountainous areas. (4) To enhance the RLR, policy recommendations should place a strong emphasis on extending the agricultural industry chain, improving rural production and living infrastructure and strengthening the supply of high-quality social public services. The findings can provide a scientific basis for governments to implement rural revitalization strategies and improve farmers’ well-being, as well as practical guidance for enhancing the risk resistance ability of underdeveloped mountainous rural areas.
Effects of Phosphorus-Mediated Alleviation of Salt Stress on Cotton Genotypes: Biochemical Responses and Growth Adaptations
Authors: Muhammad Noor , Luo Tong , Gui Huiping , Dong Qiang , Wang Qianqian , Pang Nianchang , Zhang Xiling , Wang Xiangru , Ma Xiaoyan , Song Meizheng
Published: August 2024

Salinity stress can significantly impact productivity in agricultural area with limited water re-sources. Our study focused on how plants under salt stress respond to phosphorus availability in terms of growth and biochemical reactions in cotton genotypes. Two cotton genotypes with different P efficiencies (SK39 and JM21) were used in a hydroponic experiment with 300 mM NaCl and three P treatments (10, 20, and 30 mM). Salinity stress decreases root growth, shoot growth, biomass production, and chlorophyll content, according to the experimental findings. In treated plants, it also increased the levels of oxidative stress. However, this effect was alleviated by phosphorus therapy, which controlled the production of proline, total soluble sugars, and hydrogen peroxide (H2O2). Interestingly, salt-sensitive JM21 responded to phosphorus supplementation more favorably than salt-tolerant SK39. Our research emphasizes the critical role that phosphorus especially P20 plays increasing the salinity stress sensitivity of cotton plants and offers insightful in-formation on the mechanisms underlying the role of phosphorus in reducing salinity stress effects. This study also revealed interspecific variability in cotton genotypes and characteristics, primarily represented by attributes related to cotton growth and morphological indicators such as dry matter biomass.
Mechanized No-Tillage Planting with Maize Straw Mulching Improves Potato Yield and Water Use Efficiency in Arid Regions of Northwest China
Authors: Li Hui , Liu Pengxia , Sun Wei , Zhang Hua , Liu Xiaolong , Li Peiwen , Zhang Fengwei
Published: August 2024

To explore the yield-increasing mechanism of mechanized potato planting with corn straw mulching, a two-year (2021 and 2022) field experiment was conducted to study the effects of mechanized no-tillage with straw mulching on potato yield and water use efficiency. This experiment included mechanized no-tillage potato planting with corn straw mulch covering (JG), plastic film mulching (HM), and open flat planting (CK). The results showed that mechanical no-tillage with straw mulching significantly affected soil water content in the 0–100 cm soil layer, yield, and water use efficiency (p < 0.05). There was no significant difference in yield between JG and HM, but it was significantly higher than that of CK. The yield of JG was 3.09~12.27% higher than that of CK. The yield increase was mainly achieved by increasing the potato weight per plant (0.697~0.862 **) and the average single potato weight (0.048~0.631). The tuber weight per plant was positively correlated with the plant height at the seedling stage (0.03~0.92 **) and positively correlated with the dry weight of stems and leaves at the tuber expansion stage and starch accumulation stage (0.74 **~0.95 **). It was negatively correlated with the number of branches at the tuber formation stage (−0.33~−0.88 **). Compared with CK, JG could significantly improve the water use efficiency of potatoes and reduce water consumption during the whole growth period of crops. In 2021, JG was 6.5% higher than CK, and HM was 6.88% lower than CK. In 2022, JG and HM increased water use efficiency by 26.17% and 14.50% compared with CK. When HM is applied in heavy soil areas, soil compaction can easily occur, which affects seedling emergence and reduces yield. At the same time, JG has strong adaptability to soil types and good yield stability. It can be seen that JG is a green and efficient mechanized potato cultivation technology suitable for dry farming areas.
Nitrogen Fertilization Alleviates Barley (Hordeum vulgare L.) Waterlogging
Authors: Chen Jianbo , Zhao Chenchen , Harrison Matthew Tom , Zhou Meixue
Published: August 2024

Waterlogging increasingly challenges crop production, affecting 10% of global arable land, necessitating the development of pragmatic strategies for mitigating the downside risk of yield penalty. Here, we conducted experiments under controlled (tank) and field conditions to evaluate the efficacy of nitrogenous fertiliser in alleviating waterlogging stress. Without intervention, we found that waterlogging reduced grain yields, spike numbers and shoot biomass, but had a de minimus impact on grain number per spike and increased grain weight. Soil fertiliser mitigated waterlogging damage, enhancing yields via increased spike numbers, with crop recovery post-waterlogging catalysed via improved tiller numbers, plant height and canopy greenness. Foliar nitrogen spray has little impact on crop recovery, possibly due to stomatal closure, while modest urea application during and after waterlogging yielded similar results to greater N application at the end of waterlogging. Waterlogging-tolerant genotypes (P-17 and P-52) showed superior growth and recovery during and after waterlogging compared to the waterlogging-sensitive genotypes (Planet and P-79). A comparison of fertiliser timing revealed that field fertilizer treatment two (F2: 90 kg·ha−1 at 28 DWL, 45 kg·ha−1 at sowing and 45 kg·ha−1 at 30 DR) yielded the highest and fertilizer treatment three (F3: 45 kg·ha−1 at sowing and 45 kg·ha−1 at 30 DR) recovered the lowest yield and spike number, while fertilizer treatment one (F1: 45 kg·ha−1 at 28 DWL, 45 kg·ha−1 at 0 DR, 45 kg·ha−1 at sowing and 45 kg·ha−1 at 30 DR) and four (F4: 90 kg·ha−1 at 0 DR, 45 kg·ha−1 at sowing and 45 kg·ha−1 at 30 DR) had the highest shoot biomass in the field. Treatment five (T5: 180 kg·ha−1 at 0 DR, 30 kg·ha−1 at sowing and 90 kg·ha−1 at 30 DR) presented the most favourable results in the tank. Our results provide rigorous evidence that long periods of waterlogging caused significant yield penalty, mainly due to decreased spike numbers. We contend that increasing fertiliser rates during waterlogging up to 90 kg·ha−1 can provoke crop growth and mitigate waterlogging-induced grain yield losses, and is more beneficial than applying nitrogen post-waterlogging.
Physiological and Biochemical Analysis of Selenium-Enriched Rice
Authors: Lu Tianyi , Ai Yanmei , Na Meng , Xu Shangqi , Li Xiaoping , Zheng Xianqing , Zhou Jihai
Published: August 2024

Selenium is an essential trace element in the human body. However, its intake is generally low. Therefore, the production and utilisation of selenium-enriched foods is currently a research hotspot. In this study, the effects of low (0.2 mg·kg−1), medium (1.0 mg·kg−1), and high (5.0 mg·kg−1) concentrations of selenium on the physiological and biochemical characteristics of rice were investigated to develop selenium-enriched rice. High concentrations of selenium have been found to inhibit the growth, physiology, and biochemistry of rice, while low concentrations of selenium promote its growth. The height of mature rice plants exposed to high concentrations of selenium was reduced by 7.20% compared with the height of control rice. Selenium decreased the proline content of rice during the growth period except in mature rice treated with medium and high concentrations of selenium. Excluding high concentrations, selenium treatment increased the soluble sugar content of rice from the tillering to the mature stages. The peroxidase activity of rice at the heading stage treated with medium levels of selenium was significantly higher than that of the control rice, while the superoxide dismutase activity of rice exposed to selenium was significantly enhanced at the mature stage. The malondialdehyde levels of mature rice treated with medium and high levels of selenium were significantly lower than those of the control rice. The selenium content of each plant part was significantly correlated with the soil selenium level. An increase in the soil selenium level facilitated the production of selenium-enriched rice.
Characterization of Improved Barley Germplasm under Desert Environments Using Agro-Morphological and SSR Markers
Authors: Ghazy Abdelhalim I. , Ali Mohamed A. , Ibrahim Eid I. , Sallam Mohammed , Al Ateeq Talal K. , Al-Ashkar Ibrahim , Motawei Mohamed I. , Abdel-Haleem Hussein , Al-Doss Abdullah A.
Published: August 2024

Barley is indeed a versatile cereal crop, valued for its uses in food, animal feed, and increasingly in biofuel production. As interest grows in developing new barley genotypes that are better adapted to diverse environmental conditions and production systems, integrating agro-morphological evaluations with molecular marker analyses in barley breeding programs is essential for developing new genotypes. It is necessary to explore the genetic diversity of those germplasm to predicate their responses to targeted environments and regions. The current study explored the phenotypic and genotypic relations among Saudi advanced germplasm to facilitate the development of superior barley cultivars suitable for desert environments. Molecular microsatellites (SSR) markers revealed considerable wide genetic variation among Saudi germplasm and checks. Population structure analyses revealed four main groups. Those groups were validated using similarity analyses and coefficients. As well, principal components analysis (PCA) and heat map analyses separated the studied genotypes into four main groups. The improved Saudi germplasm, selected from the barley breeding program, revealed considerably wide genetic and phenotypic diversities, indicating the feasibility of selection to improve for semi-arid conditions. The improved line KSU-BR-C/G-2 had the highest grain yield and harvest index in the first season. Rihana/Lignee was followed by the KSU-BR-C/G-2 genotype, with a grain yield averaging 6734.07 (kg ha−1), in the first season. KSU-BR-88-29-10 yielded 20,000 kg ha−1 for biomass yield. In the second year, KSU-BR-30-7 had the highest biomass yield, with 27,037.04 kg ha−1.