bluuebunny/crossref_metadata_2025 huggingface dataset:
Mobility restriction and barrier-reduced housing among people aged 65 or older in Germany: Do those who need it live in barrier-reduced residences?
Authors: Nowossadeck Sonja , Romeu Gordo Laura , Lozano Alcántara Alberto
Published: April 2023

Introduction

Older people spend a lot of time at home and in the area near where they live. Housing conditions ensure their ability to participate in social life, especially when they suffer from mobility restrictions. Barrier-free access to the residence and to rooms within the residence is a key condition for their everyday mobility. As a result, this is what we define as minimal criteria for barrier-reduced residences. This article examines the extent to which people aged 65 and over (including people with mobility issues) live in barrier-reduced housing and what factors influence the chance of living in such residences.

Data and method

Cross-sectional data from the German Ageing Survey (DEAS) 2020/21 (persons aged 65 and over, n = 2,854) were used. The DEAS is a representative cross-sectional and longitudinal survey of the population aged 40 and over in Germany. In our analyses, we used logistic regression models to investigate the probability of living in a barrier-reduced residence. We defined housing as barrier-reduced when the apartment/house and the rooms inside it can be reached without steps or stairs. As explanatory variable, we considered mobility restrictions, defined as limited ability to climb a flight of stairs. In addition, the model includes other individual factors (age, gender, equivalized household income), regional factors (living in East vs. West Germany, in urban vs. rural region) and moving to the current residence after the age of 65.

Results and discussion

Of all individuals aged 65 or older, 19.3 percent live in a barrier-reduced residence. Also, of mobility-restricted elders, only 21.4 percent have such residences. The logistic regression results show that mobility restrictions are associated with a higher probability of living in a barrier-reduced residence. Compared to the lowest income group, older people in the highest income group are more likely to live in barrier-reduced housing. East Germans and people in urban areas are less likely to live in a barrier-reduced home. The likelihood of barrier-reduced living is higher among seniors who moved into their current residence after age 65. No significant differences were found for age groups and gender. The findings show that not enough seniors have barrier-reduced access to their homes and rooms, even if they suffer from mobility restrictions. Preventing functional restrictions must therefore also include improvements in the residential environment, especially in disadvantaged residential areas.
Attachment, behavior problems and interventions
Authors: Hutchings Judy , Williams Margiad E. , Leijten Patty
Published: April 2023

This paper puts forward an explanation for the frequent co-occurrence of attachment and behavior problems in children and the implications of this for interventions; presents preliminary evidence that some behaviorally based parenting programs reduce child behavior problems through two separate, but mutually reinforcing, processes—improved attachment relationships and increased parental use of behavior management techniques; and suggests next steps for the field to improve outcomes for those children who, without interventions that addresses both relationship building and behavior management, are at risk of significant long-term difficulties.
Passive evaporative coolers for postharvest storage of fruit and vegetables: Where to best deploy them and how well do they perform
Authors: Defraeye Thijs , Shoji Kanaha , Schudel Seraina , Onwude Daniel , Shrivastava Chandrima
Published: April 2023

Passive evaporative coolers have a huge potential to help smallholder farmers to preserve their fresh fruit and vegetables longer after harvest. However, we could benefit from more transparent information on where evaporative coolers perform sufficiently well to extend the postharvest life of the fresh produce significantly. Unsatisfactory evaporative cooler performance is a potential cause for farmers' limited adoption of this technology to reduce food losses. Our objective is to present easy-to-use tools that help to better scope regions with the best potential for direct passive evaporative coolers and for effectively deploying it. This information should help avoid installing evaporative coolers in areas with environmental conditions that only induce a temperature depression of a few degrees Celsius. Concretely, we developed design charts of the achievable temperature depression by evaporative cooling based on the local air temperature and humidity. We quantified for apple, banana, mango, and tomato the resulting additional days in postharvest life gained by storing the produce in an evaporative cooler. For these fruits, the gain in postharvest life using passive cooling is roughly 2–15 days for temperate climates with an ambient temperature of 20°C and a humidity of 50%. We present geographical maps of India, Nigeria, and the entire world at a 30 km resolution that answer how much evaporative cooling can maximally decrease the produce temperature and extend postharvest life for banana fruit. We found that passive evaporative cooling could induce up to a 7-day gain in postharvest life. We make these maps available online. We also quantify how well evaporative coolers perform concerning reducing the temperature and how they should be sized. Our results will facilitate installing evaporative coolers only in suitable regions. Our data also show in which months the cooler can be operated with the best performance. We thereby help avoid disillusion and loss of trust in the technology with smallholder farmers, policymakers, farmers, or farmer cooperatives. Further catalyzing the implementation of small-scale evaporative coolers can bring farmers significant gains in postharvest life, reduce food losses, and increase revenues.
Increasing breast support is associated with altered knee joint stiffness and contributing knee joint biomechanics during treadmill running
Authors: Powell Douglas W. , Fong Hailey B. , Nelson Alexis K.
Published: April 2023

Introduction

Greater breast support has been associated with improved running performance as measured by oxygen cost and running economy. Several candidate mechanisms have been proposed to underlie breast support-related improvements in running performance including increased knee joint stiffness. Greater knee joint stiffness has been associated with improved running performance (speed and metabolic cost), though the influence of breast support on knee joint stiffness has not been previously investigated. Therefore, the purpose of this study was to investigate the influence of increasing breast support on knee joint stiffness and its constituent components during treadmill running.

Methods

Thirteen recreational runners performed a 3-min running bout at their preferred running velocity in each of three breast support conditions: bare chested (CON), low support (LOW) and high support (HIGH) sports bras. Three-dimensional kinematics and ground reaction forces were collected simultaneously using a 10-camera motion capture system (240 Hz, Qualisys Inc.) and instrumented treadmill (1,200 Hz, Bertec Inc.). Visual3D (C-Motion Inc.) was used to calculate knee joint excursions, moments, powers and work while custom software (MATLAB) was used to calculate knee joint stiffness and breast displacements during the stance phase of running in each experimental condition. A series of 1 × 3 repeated measures analysis of covariance with post-hoc t-tests was used to evaluate the effect of breast support on knee joint biomechanics during treadmill running.

Results

Increasing levels of breast support were associated with greater knee joint stiffness (p = 0.002) as a result of smaller knee flexion excursions (p < 0.001). Increases in knee extension power (p = 0.010) were observed with increasing levels of breast support while no differences were observed in knee extension moments (p = 0.202) or work (p = 0.104).

Conclusion

Greater breast support is associated with increased knee joint stiffness resulting from smaller joint excursions. These findings may provide insight into the biomechanical mechanisms underlying previously reported improvements in running performance including reduced oxygen consumption and greater running economy.
Biological injection therapy with leukocyte-poor platelet-rich plasma induces cellular alterations, enhancement of lubricin, and inflammatory downregulation in vivo in human knees: A controlled, prospective human clinical trial based on mass spectrometry imaging analysis
Authors: Baltzer Axel W. , Casadonte Rita , Korff Alexei , Baltzer Lea Merline , Kriegsmann Katharina , Kriegsmann Mark , Kriegsmann Jörg
Published: April 2023

Objective

To investigate the in vivo biological effects of leukocyte-poor platelet-rich plasma (LpPRP) treatment in human synovial layer to establish the cellular basis for a prolonged clinical improvement.

Methods

Synovial tissues (n = 367) were prospectively collected from patients undergoing arthroscopic surgery. Autologous-conditioned plasma, LpPRP, was injected into the knees of 163 patients 1–7 days before surgery to reduce operative trauma and inflammation, and to induce the onset of regeneration. A total of 204 patients did not receive any injection. All samples were analyzed by mass spectrometry imaging. Data analysis was evaluated by clustering, classification, and investigation of predictive peptides. Peptide identification was done by tandem mass spectrometry and database matching.

Results

Data analysis revealed two major clusters belonging to LpPRP-treated (LpPRP-1) and untreated (LpPRP-0) patients. Classification analysis showed a discrimination accuracy of 82%–90%. We identified discriminating peptides for CD45 and CD29 receptors (receptor-type tyrosine-protein phosphatase C and integrin beta 1), indicating an enhancement of musculoskeletal stem cells, as well as an enhancement of lubricin, collagen alpha-1-(I) chain, and interleukin-receptor-17-E, dampening the inflammatory reaction in the LpPRP-1 group following LpPRP injection.

Conclusions

We could demonstrate for the first time that injection therapy using “autologic-conditioned biologics” may lead to cellular changes in the synovial membrane that might explain the reported prolonged beneficial clinical effects. Here, we show in vivo cellular changes, possibly based on muscular skeletal stem cell alterations, in the synovial layer. The gliding capacities of joints might be improved by enhancing of lubricin, anti-inflammation by activation of interleukin-17 receptor E, and reduction of the inflammatory process by blocking interleukin-17.
A bibliometric analysis of hotpots and trends for the relationship between skin inflammation and regeneration
Authors: Liu Zhen-jiang , Wang Mei-juan , Luo Jia , Tan Ya-ting , Hou Min , Wang Shu-chao
Published: April 2023

Background

Skin regeneration is a challenging issue worldwide. Increasing research has highlighted the role of immune cells in healing and the underlying regulatory mechanism. The purpose of this study was to identify the hotspots and trends in skin regeneration and inflammation research through bibliometrics and to provide insights into the future development of fundamental research and disease treatment.

Methods

Publications were collected from the Web of Science Core Collection on March 1, 2022. Articles and reviews published in English from January 1, 1999, to December 31, 2022, were selected, and statistical analyses of countries, institutions, authors, references, and keywords were performed using VOSviewer 1.6.18 and CiteSpace 5.8.

Results

A total of 3,894 articles and reviews were selected. The number of publications on skin inflammation and regeneration showed an increasing trend over time. Additionally, authors and institutions in the United States, United Kingdom, Canada, and China appeared to be at the forefront of research in the field of skin inflammation and regeneration. Werner Sabine published some of the most cited papers. Wound Repair and Regeneration was the most productive journal, while Journal of Investigative Dermatology was the most cited journal. Angiogenesis, diamonds, collagen, cytokine, and keratinocytes were the five most commonly used keywords.

Conclusion

The number of publications on skin inflammation and regeneration show an increasing trend. Moreover, a series of advanced technologies and treatments for skin regeneration, such as exosomes, hydrogels, and wound dressings, are emerging, which will provide precise information for the treatment of skin wounds. This study can enhance our understanding of current hotspots and future trends in skin inflammation and regeneration research, as well as provide guidelines for fundamental research and clinical treatment.
Examining the Perspectives of Gender Development and Inequality: A Tale of Selected Asian Economies
Authors: Ali Wajid , Ambiya  , Dash Devi Prasad
Published: April 2023

The rising concern about gender inequality among the economies in South, South-East, and Eastern Asia motivates us to study the context of gender development in terms of bridging gender disparity. To show the impact, the data has been extracted from various authentic sources- Varieties of Democracy (V-Dem), World Bank Development Indicators database, Sustainable Development Index, The Observatory of Economic Complexity and Human Development Reports of the 24 South, South-East, and East Asian economies from period 2000–2020. This research was carried out empirically using various techniques such as the Ordinary Least Squared Method (OLS), Generalized Methods of Moments (GMM), and Generalised Quantile Regression. The findings of the research show a significant impact of FDI and Economic Complexity in the reduction of gender inequality. Along with this, access to justice and electoral democracy will be providing more representation to women by reducing the gender gaps. Several policy implications have been proposed following the results of the study.
The Relationship between Occupational Stress, Mental Health and COVID-19-Related Stress: Mediation Analysis Results
Authors: Foti Giulia , Bondanini Giorgia , Finstad Georgia Libera , Alessio Federico , Giorgi Gabriele
Published: April 2023

The COVID-19 pandemic led to serious psychological consequences that negatively affect workers’ mental health, leading to post-traumatic symptoms. In this scenario, employees may be exposed to multiple stressors that ultimately drain their resources. Drawing on the Conservation of Resources Theory (COR) and the stress–strain perspective, we analyzed the relationship between different dimensions of work-related stress and psychological distress in a sample of 294 workers in the industrial sector. Specifically, we hypothesized a series of mediation models in which the dimensions of work-related stress are associated with a lower level of mental health directly and indirectly through higher levels of COVID-19-related post-traumatic symptoms. The results partially support the hypotheses, showing that COVID-19-related trauma plays a mediating role between the stress experienced and the resulting decrease in mental health, except in the case of job control and colleague support. These results will hopefully offer insights into possible organizational interventions for the promotion of workers’ well-being in the postpandemic setting.
Design of 4UM-120D Electric Leafy Vegetable Harvester Cutter Height off the Ground Automatic Control System Based on Incremental PID
Authors: Chen Wenming , Hu Lianglong , Wang Gongpu , Yuan Jianning , Bao Guocheng , Shen Haiyang , Wu Wen , Yin Zicheng
Published: April 2023

In this study, a 4UM-120D electric leafy vegetable harvester was employed as the research object. An automatic control system was created to maintain the cutter’s height above the ground within ±2% of the desired value. The intention was to reduce the operators’ work intensity while improving the leafy vegetable harvester’s working quality. The automatic control system for the cutter height from the ground was explained, along with its structure and operating philosophy. MATLAB was used to establish the two-phase hybrid stepper motor’s mathematical electrical equation and mechanical equation models. An analysis was carried out on the fundamentals and differences between position PID and incremental PID control algorithms. Utilizing incremental PID in combination, the control strategy for the harvester cutter height from the ground was built, and an automatic control system was produced under the corresponding control strategy. The stability, accuracy, and rapidity of the automatic control system of the cutter height from the ground under the incremental PID control strategy were analyzed by simulating different actual working conditions with MATLAB/Simulink and taking the steady-state transition time as the evaluation index. The test results show that when the deviation between the current value and the set value was greater than 2%—that is, when the harvester was in the condition of suddenly crossing the ditch or suddenly climbing the slope—the automatic control system based on the incremental PID control strategy had a good dynamic response performance and stability. This resulted in the automatic control function of the harvester cutter height off the ground being achieved. When the rotation angle PID control algorithm’s proportional coefficient is Kp = 4.665, the rotation speed PID control algorithm’s proportional coefficient is Kp = 5.65 and its integral coefficient is Ki = 3.86, and the current PID control algorithm’s proportional coefficient is Kp = 0.5455 and its integral coefficient is Ki = 30.4578. The harvester abruptly crossed a ditch while operating steadily, and the automatic control system’s steady-state transition time for the height of the cutter off the ground was 1.0811 s. The harvester abruptly climbed a slope while operating steadily, and the automatic control system’s steady-state transition time for the height of the cutter off the ground was 1.1185 s. Data from the field tests revealed a degree of reliability in the simulation test results. The study offered a strategy for raising the harvester quality for leafy vegetables while lowering the operator workload.
Influence of Conservation Agriculture on Durum Wheat Grain, Dough Texture Profile and Pasta Quality in a Mediterranean Region
Authors: Kerbouai Imene , Sfayhi Dorra , Sassi Khaled , M’hamed Hatem Cheikh , Jenfaoui Houda , Riahi Jouhaina , Arfaoui Slim , Chouaibi Moncef , Ben Ismail Hanen
Published: April 2023

There is a growing interest in the Mediterranean regions to switch to conservation agriculture (CA) to address climate change and soil deterioration issues. The novelty of this study lies in the quality of the supply chain, from the raw material (durum wheat grain) to the ready-to-sell product (spaghetti), under long-term CA, and using two varieties over two years of study. This study aims to investigate the impact of two soil management systems (SM) (CA after 10/11 (since 2009–2010) years switching vs. conventional tillage (CT)) on grain quality, dough texture profile, and pasta quality of two Tunisian durum wheat varieties (Karim and Monastir) in a 2-year-long experiment (2019 and 2020). The results showed that the SM had a significant impact on the grain quality in both years in terms of protein content and wet gluten, which were, respectively, lower under CA (11.92% vs. 11.15% for protein content) and (18.75% vs. 17.68% for wet gluten) in the wet year. These parameters increased in the dry year but they were higher under CA (15.70% vs. 14.42 ± 0.94% for protein content) and (26.00% vs. 23.20% for wet gluten). These results have, in turn, affected the dough quality (springiness, chewiness, and cohesiveness) and pasta cooking time and decreased the pasta cooking loss and water absorption index. In terms of the variety (V) factor, “Karim” variety in the dry year had a higher protein content and better dough quality than “Monastir” variety, and it reduced the pasta cooking time. In addition, the pasta yellow index (b*) from grains grown under CA was always higher than those in the CT system (23.99 vs. 19.72% and 25.24 vs. 22.19% in 2019 and 2020, respectively). The interaction between SM and V was significant in both years only for the dough hardness and pasta b* parameters. In conclusion, long-term CA may be a crucial solution in the dry season to promote food quality and achieve sustainable agriculture goals.
An Improved Mask RCNN Model for Segmentation of ‘Kyoho’ (Vitis labruscana) Grape Bunch and Detection of Its Maturity Level
Authors: Li Yane , Wang Ying , Xu Dayu , Zhang Jiaojiao , Wen Jun
Published: April 2023

The ‘Kyoho’ (Vitis labruscana) grape is one of the mainly fresh fruits; it is important to accurately segment the grape bunch and to detect its maturity level for the construction of an intelligent grape orchard. Grapes in the natural environment have different shapes, occlusion, complex backgrounds, and varying illumination; this leads to poor accuracy in grape maturity detection. In this paper, an improved Mask RCNN-based algorithm was proposed by adding attention mechanism modules to establish a grape bunch segmentation and maturity level detection model. The dataset had 656 grape bunches of different backgrounds, acquired from a grape growing environment of natural conditions. This dataset was divided into four groups according to maturity level. In this study, we first compared different grape bunch segmentation and maturity level detection models established with YoloV3, Solov2, Yolact, and Mask RCNN to select the backbone network. By comparing the performances of the different models established with these methods, Mask RCNN was selected as the backbone network. Then, three different attention mechanism modules, including squeeze-and-excitation attention (SE), the convolutional block attention module (CBAM), and coordinate attention (CA), were introduced to the backbone network of the ResNet50/101 in Mask RCNN, respectively. The results showed that the mean average precision (mAP) and mAP0.75 and the average accuracy of the model established with ResNet101 + CA reached 0.934, 0.891, and 0.944, which were 6.1%, 4.4%, and 9.4% higher than the ResNet101-based model, respectively. The error rate of this model was 5.6%, which was less than the ResNet101-based model. In addition, we compared the performances of the models established with MASK RCNN, adding different attention mechanism modules. The results showed that the mAP and mAP0.75 and the accuracy for the Mask RCNN50/101 + CA-based model were higher than those of the Mask RCNN50/101 + SE- and Mask RCNN50/101 + CBAM-based models. Furthermore, the performances of the models constructed with different network layers of ResNet50- and ResNet101-based attention mechanism modules in a combination method were compared. The results showed that the performance of the ResNet101-based combination with CA model was better than the ResNet50-based combination with CA model. The results showed that the proposed model of Mask RCNN ResNet101 + CA was good for capturing the features of a grape bunch. The proposed model has practical significance for the segmentation of grape bunches and the evaluation of the grape maturity level, which contributes to the construction of intelligent vineyards.
Hybrid CNN-SVM Classifier Approaches to Process Semi-Structured Data in Sugarcane Yield Forecasting Production
Authors: Bhattacharyya Debnath , Joshua Eali Stephen Neal , Rao N. Thirupathi , Kim Tai-hoon
Published: April 2023

Information communication technology (ICT) breakthroughs have boosted global social and economic progress. Most rural Indians rely on agriculture for income. The growing population requires modern agricultural practices. ICT is crucial for educating farmers on how to be environmentally friendly. It helps them create more food by solving a variety of challenges. India’s sugarcane crop is popular and lucrative. Long-term crops that require water do not need specific soil. They need water; the ground should always have adequate water due to the link between cane growth and evaporation. This research focuses on forecasting soil moisture and classifying sugarcane output; sugarcane has so many applications that it must be categorized. This research examines these claims: The first phase model predicts soil moisture using two-level ensemble classifiers. Secondly, to boost performance, the proposed ensemble model integrates the Gaussian probabilistic method (GPM), the convolutional neural network (CNN), and support vector machines (SVM). The suggested approach aims to correctly anticipate future soil moisture measurements affecting crop growth and cultivation. The proposed model is 89.53% more accurate than conventional neural network classifiers. The recommended models’ outcomes will assist farmers and agricultural authorities in boosting production.
Silicon Calcium Fertilizer Application and Foliar Spraying with Silicon Fertilizer Decreases Cadmium Uptake and Translocation in Rice Grown in Polluted Soil
Authors: Yuan Shuai , Cui Can , Han Yu , Chen Pingping , Tu Naimei , Yi Zhenxie
Published: April 2023

Rice cultivated in Cd-polluted acidic paddy soil poses important health risks in China. Decreasing Cd accumulation in rice is important for food safety and human health. Early rice cultivar ZY-819 and late rice cultivar XWX-13 with low Cd-accumulation potentials, and early rice cultivar LY-996 and late rice cultivar YZX with high Cd-accumulation potentials, were grown in mildly polluted double-cropping paddy fields (Cd content 0.3–0.6 mg kg−1). The effects of adding biochar (10 t ha−2), lime (1500 kg ha−2), and silicon–calcium fertilizer (SC; 2250 kg ha−2) and foliar spraying with silicon fertilizer solution (Si; 1500 g ha−2) on Cd uptake and transport in rice, were assessed in plot experiments. The soil amendments and foliar spraying decreased the Cd content of brown rice from the high Cd-accumulation potential cultivars. The soil amendments decreased the Cd content of LY-996 and YZX brown rice by 25.24–32.40% and 32.99–44.16%, respectively, and SC decreased the Cd content most. Foliar spraying with Si decreased the Cd content of LY-996 and YZC brown rice by 23.79% and 26.40%, respectively. When soil amendments and foliar spraying were combined, the Cd content of brown rice was decreased most by the SC–Si treatment. Compared with the control, the SC–Si treatment decreased the Cd content of LY-996, ZY-819, YZX, and XWX-13 brown rice by 45.63%, 35.67%, 52.79%, and 32.03%, respectively. Soil amendments can effectively decrease Cd uptake by rice roots and Cd migration from roots to shoots. Compared with the control, the soil amendments increased the soil pH and decreased Cd availability. The strongest effects were for the lime and SC treatments. Foliar spraying with Si can effectively decrease Cd translocation through stems and leaves to brown rice. Applying SC fertilizer and foliar spraying with Si is the best method for decreasing the Cd content of rice grown in mildly Cd-polluted paddy fields.
Comparison of the Soil Water, Vapor, and Heat Dynamics between Summer Maize and Bare Fields in Arid and Semi-Arid Areas
Authors: Gao Wande , Liu Xiuhua , Zheng Ce , Lu Yudong , He Junqi , He Yi
Published: April 2023

In arid and semi-arid areas, water vapor transport is an important form of soil water movement and plays a crucial role in the overall water and energy balance. For better prediction of soil water and heat fluxes and understanding of root zone soil water dynamics for effective crop management, soil moisture, temperature, soil texture and micrometeorological data have been collected from field trials. Based on the data collected, a Hydrus 1D model was established to simulate the coupled transport of liquid water, water vapor and heat under summer maize (summer maize treatment; SMT) and bare soil (bare soil treatment; BT) for a 100 cm soil profile. Calibration and validation data for the model revealed a good level of agreement between simulated and measured data. Results indicated that the isothermal vapor flux was close to zero throughout the profile, while the isothermal water flux dominated the soil water movement for both SMT and BT. The vapor flux was mainly contributed by thermal vapor flux and increased with soil desiccation. Evaporation and transpiration showed two distinct phases, increasing immediately after irrigation and decreasing gradually as soil water content decreased. SMT had lower evaporation rates due to the protection provided by crop canopy. Irrigation significantly altered the dynamic characteristics of thermal liquid water and thermal vapor fluxes in the vadose, emphasizing the importance of considering the coupled transport of liquid water, vapor, and heat transport at interfaces in the soil–plant–atmosphere continuum for accurate estimates of water flux, especially under prolonged drought conditions.
Improved Water Use of the Maize Soil–Root–Shoot System under the Integrated Effects of Organic Manure and Plant Density
Authors: Wei Li-Chao , Zhang Hua-Ping , Wang Xiao-Lin , Zhang Sui-Qi
Published: April 2023

On the Loess Plateau of China, water shortage and serious soil erosion are the key factors that restrict local agricultural development, especially in terms of crop yield. In order to expound the effect of treatment with organic manure in root growth, water transpiration and evaporation, biomass allocation and grain yield and WUE (water use efficiency), we took maize (Zheng Dan 958) sown for four years with three replicates at three densities. The results show that the highest rate of maize grain yield increase with organic manure is about 9.99% for a density of 90,000 plants/ha; at the same time, ET (evapotranspiration) and WUE also achieved marked increments, which the highest values of 415.47 mm with a density of 75,000 plants/ha and 7.92% with a density of 90,000 plants/ha, respectively. The results also demonstrate the obvious effect of organic manure in enhancing root growth and in the maximization of water transpiration and evaporation, and water use plays a vital and valuable role in biomass allocation. The results also serve as orientation for methods to increase maize yield and a reference for other crops in the relation of water and manure to their growth.
Evaluation of Ethanedinitrile as a Potential Fumigant against Plasmodiophora brassicae, the Clubroot Pathogen
Authors: Patar Usha Rani , Manasova Marie , Hnatek Jonas , Wenzlova Jana , Zouhar Miloslav
Published: April 2023

Clubroot, caused by Plasmodiophora brassicae Woronin, is one of the most challenging diseases to control in oilseed rape (Brassica napus L.) and other crucifers globally. Ethanedinitrile (EDN) is a promising fumigant shown to be effective against various pests and soil-borne pathogens. However, its efficacy against P. brassicae is yet to be tested. Therefore, the current study is focused on evaluating the effectiveness of EDN against P. brassicae at different rates, applied for different durations of exposure. Clubroot-susceptible oilseed rape plants, grown in fumigated soil, were evaluated for disease severity and growth parameters in greenhouse conditions. EDN exhibited good efficacy against the pathogen, with 81.39% disease suppression compared to the control. Complete control of the disease was achieved at the rates of 42 g/m3 and 50 g/m3 as well as in the treatment variant of 35 g/m3-48 h. In addition, EDN improved plant health by increasing shoot weight by 58.24%. However, the combination of a prolonged fumigation period and higher rates resulted in a decline in the seedling emergence rate and plant shoot weight, indicating a potential adverse residual effect of higher rates and longer durations of exposure in plants.
Applying the SIMPLE Crop Model to Assess Soybean (Glicine max. (L.) Merr.) Biomass and Yield in Tropical Climate Variation
Authors: Pham Quang V. , Nguyen Tanh T. N. , Vo Tuyen T. X. , Le Phuoc H. , Nguyen Xuan T. T. , Duong Nha V. , Le Ca T. S.
Published: April 2023

Soybean Glicine max. (L.) Merr. is one of the most major food crops. In some areas, its responses to different climates have not been well studied, particularly in tropical countries where other crops are more dominant. Accordingly, we adopted the SIMPLE crop model to investigate the responses of soybeans to the climate. We conducted two experiments on crop growth in the Summer–Autumn season of 2020, and Winter–Spring 2021 in the Hoa Binh Commune, in the Mekong Delta, Vietnam, which is an area that is vulnerable to climate change impacts, to obtain data for our model input and assessment. The assessment was concerned with the effects of climate variables (temperature and CO2) on soybean biomass and yield. The results indicated that the SIMPLE model performed well in simulating soybean yields, with an RRMSE of 9–10% overall. The drought stress results showed a negative impact on the growth and development of soybeans, although drought stress due to less rainfall seemed more serious in Spring–Winter 2021 than in Summer–Autumn 2020. This study figured out the trend that higher temperatures can shorten biomass development and lead to yield reduction. In addition, soybeans grown under high CO2 concentrations of 600 ppm gave a higher biomass and a greater yield than in the case with 350 ppm. In conclusion, climate variance can affect the soybean yield, which can be well investigated using the SIMPLE model.
A Diet Rich in HUFAs Enhances the Energetic and Immune Response Capacities of Larvae of the Scallop Argopecten purpuratus
Authors: Rojas Isis , Cárcamo Claudia B. , Defranchi Yohana , Jeno Katherine , Rengel José , Araya Michael , Tarnok María Elena , Aguilar Luis , Álvarez Gonzalo , Schmitt Paulina , Brokordt Katherina
Published: April 2023

Massive mortalities in farmed larvae of the scallop Argopecten purpuratus have been associated with pathogenic Vibrio outbreaks. An energetic trade-off between development-associated demands and immune capacity has been observed. Given that highly unsaturated fatty acids (HUFAs) are essential nutrients for larval development, we evaluated the effect of diets based on microalgae low and high in HUFAs (LH and HH, respectively) on the energetic condition and the immune response of scallop larvae. The results showed that the HH diet increased cellular membrane fluidity in veliger larvae. The routine respiration rate was 64% higher in the HH-fed veligers than in the LH-fed veligers. Additionally, the metabolic capacity tended to be higher in the HH-fed veligers than in the LH-fed veligers after the Vibrio challenge. After the challenge, the HH-fed veligers presented higher transcript induction of ApTLR (immune receptor) and ApGlys (immune effector) genes, and the HH-fed pediveligers presented higher induction of ApLBP/BPI1 (antimicrobial immune effector) gene, than the LH-fed larvae. Furthermore, the HH-fed veligers controlled total Vibrio proliferation (maintaining near basal levels) after the bacterial challenge, while the LH-fed veligers were not able to control this proliferation, which increased three-fold. Finally, the HH-fed larvae showed 20–25% higher growth and survival rates than the LH-fed veligers. Overall, the results indicated that the administration of a HH diet increases cell membrane fluidity and energy metabolic capacity, which in turn enhances immunity and the ability to control Vibrio proliferation. The administration of microalgae high in HUFAs would be a promising strategy for improving scallop larval production efficiency.
Diet Preference, Feed Efficiency and Expression of the Sodium-Dependent Glucose Transporter Isoform 1 and Sweet Taste Receptors in the Jejunum of Lambs Supplemented with Different Flavours
Authors: Mwangi Felista , Dallasheh Areen , Kalyesubula Mugagga , Reicher Naama , Sabastian Chris , Mabjeesh Sameer J.
Published: April 2023

This study investigated the effect of dietary flavour supplements on the preference, feed efficiency and expression of the sweet taste receptor family 1 members 2 and 3 (T1R2 + T1R3), and sodium-glucose linked transporter 1 (SGLT1) genes in the lambs’ small intestines. Eight, five-month-old, Israeli crossbred Assaf lambs were offered 16 different non-nutritive commercial flavours in rolled barley and ground corn. Capsicum and sucram were the most preferred non-aroma flavours (p = 0.020), while milky (p < 0.001) was the most preferred powder-aroma flavour. For the metabolic and relative gene expression study, eight lambs were randomly assigned to either sucram, capsicum, a mix containing sucram and capsicum at 1:1 ratio or no flavour for control in a 4 × 2 cross-over design. The total collection of urine (females only), faeces and refusals was carried out, and T1R2, T1R3 and SGLT1 relative gene expression evaluated from the proximal jejunum biopsies. Flavour had no significant effect on the feed intake (p = 0.934), but capsicum increased the average daily weight gain per metabolic body weight (p = 0.049). The T1R3 gene was expressed highest in the mix treatment (1.7; p = 0.005). Collectively, our findings indicate that flavours can be used to motivate feed acceptance and improve the weight gain in lambs.
Agreement between Electrical Cardiometry and Pulmonary Artery Thermodilution for Measuring Cardiac Output in Isoflurane-Anesthetized Dogs
Authors: Paranjape Vaidehi V. , Henao-Guerrero Natalia , Menciotti Giulio , Saksena Siddharth , Agostinho Manuela
Published: April 2023

In animals, invasive pulmonary artery thermodilution (PATD) is a gold standard for cardiac output (CO) monitoring, but it is impractical in clinical settings. This study evaluates the agreement between PATD and noninvasive electrical cardiometry (EC) for measuring CO and analyzes the other EC-derived hemodynamic variables in six healthy anesthetized dogs subjected to four different hemodynamic events in a sequential order: (1) euvolemia (baseline); (2) hemorrhage (33% blood volume loss); (3) autologous blood transfusion; and (4) 20 mL/kg colloid bolus. The CO measurements obtained using PATD and EC are compared using Bland–Altman analysis, Lin’s concordance correlation (LCC), and polar plot analysis. Values of p < 0.05 are considered significant. The EC measurements consistently underpredict the CO values as compared with PATD, and the LCC is 0.65. The EC’s performance is better during hemorrhage, thus indicating its capability in detecting absolute hypovolemia in clinical settings. Even though the percentage error exhibited by EC is 49.4%, which is higher than the standard (<30%), EC displays a good trending ability. Additionally, the EC-derived variables display a significant correlation with the CO measured using PATD. Noninvasive EC may have a potential in monitoring trends in hemodynamics in clinical settings.
Defining an Optimal Range of Centrifugation Parameters for Canine Semen Processing
Authors: Sugai Nicole , Werre Stephen , Cecere Julie , Balogh Orsolya
Published: April 2023

Our objective was to determine a clinically relevant range of centrifugation parameters for processing canine semen. We hypothesized that higher gravitational (g) force and longer time of centrifugation would result in improved spermatozoa recovery rate (RR) but poorer semen quality. Cooled storage under standard shipping conditions was used as a stressor to evaluate long-term treatment effects. Individual ejaculates collected from 14 healthy dogs were split into six treatment groups (400 g, 720 g, and 900 g for 5 or 10 min). Sperm RR (%) was calculated post-centrifugation, and plasma membrane integrity (%, Nucleocounter® SP-100™), total and progressive motility (%, subjective and computer-assisted sperm analysis), and morphology (%, eosin-nigrosin staining) were assessed on initial raw semen (T0), post-centrifugation (T1), and 24 h (T2) and 48 h (T3) after cooling. Sperm losses were minimal, and RRs were similar across treatment groups (median >98%, p ≥ 0.062). Spermatozoa membrane integrity was not different between centrifugation groups at any time point (p ≥ 0.38) but declined significantly during cooling (T1 vs. T2/T3, p ≤ 0.001). Similarly, total and progressive motility did not differ across treatments but declined in all groups from T1 to T3 (p ≤ 0.02). In conclusion, our study showed that centrifugation within a range of 400 g–900 g for 5–10 min is appropriate for processing canine semen.
Validation of Enzyme Immunoassays via an Adrenocorticotrophic Stimulation Test for the Non-Invasive Quantification of Stress-Related Hormone Metabolites in Naked Mole-Rats
Authors: Majelantle Tshepiso Lesedi , Bennett Nigel Charles , Ganswindt Stefanie Birgit , Hart Daniel William , Ganswindt Andre
Published: April 2023

Small size in mammals usually restricts long-term, frequent monitoring of endocrine function using plasma as a matrix. Thus, the non-invasive monitoring of hormone metabolite concentrations in excreta may provide an invaluable approach. The aim of the current study was to examine the suitability of enzyme immunoassays (EIAs) for monitoring responses to stressors in the naked mole-rat (Heterocephalus glaber, NMR) using urine and feces as hormone matrices. A saline control administration, and a high- and low-dose adrenocorticotropic hormone (ACTH) challenge were performed on six male and six female disperser morph NMRs. The results revealed that a 5α-pregnane-3β,11β,21-triol-20-one EIA detecting glucocorticoid metabolites (GCMs) with a 5α-3β-11β-diol structure is the most suitable assay for measuring concentrations in male urine samples, whereas an 11-oxoaetiocholanolone EIA detecting GCMs with a 5β-3α-ol-11-one structure appears the most suitable EIA for quantifying GCMs in female urine. An 11-oxoaetiocholanolone EIA detecting 11,17 dioxoandrostanes was the most suitable EIA for quantifying GCMs in the feces of both sexes. There were sex-related differences in response to the high- and low-dose ACTH challenge. We recommend using feces as a more suitable matrix for non-invasive GCM monitoring for NMRs which can be valuable when investigating housing conditions and other welfare aspects.
Infrared Thermography as a Potential Non-Invasive Tool for Estrus Detection in Cattle and Buffaloes
Authors: Riaz Umair , Idris Musadiq , Ahmed Mehboob , Ali Farah , Yang Liguo
Published: April 2023

The productivity of dairy animals has significantly increased over the past few decades due to intense genetic selection. However, the enhanced yield performance of milk animals caused a proportional increase in stress and compromised reproductive efficiency. Optimal reproductive performance is mandatory for the sustainable production of dairy animals. Reproductive efficiency is marked by proper estrus detection and precise breeding to achieve maximum pregnancies. The existing conventional methods of estrus detection are somewhat labor intensive and less efficient. Similarly, the modern automated methods that rely on detecting physical activity are expensive, and their efficiency is affected by factors such as type of housing (tie stall), flooring, and environment. Infrared thermography has recently emerged as a technique that does not depend on monitoring physical activity. Furthermore, infrared thermography is a non-invasive, user-friendly, and stress-free option that aids in the detection of estrus in dairy animals. Infrared thermography has the potential to be considered a useful non-invasive tool for detecting temperature fluctuations to generate estrus alerts without physical contact in cattle and buffaloes. This manuscript highlights the potential use of infrared thermography to understand reproductive physiology and practical implementation of this technique through discussing its advantages, limitations, and possible precautions.
Prediction of the Bearing Capacity of Composite Grounds Made of Geogrid-Reinforced Sand over Encased Stone Columns Floating in Soft Soil Using a White-Box Machine Learning Model
Authors: Zeini Husein Ali , Lwti Nabeel Katfan , Imran Hamza , Henedy Sadiq N. , Bernardo Luís Filipe Almeida , Al-Khafaji Zainab
Published: April 2023

Stone columns have been extensively advocated as a traditional approach to increase the undrained bearing capacity and reduce the settlement of footings sitting on cohesive ground. However, due to the complex interaction between the soil and the stone columns, there currently needs to be a commonly acknowledged approach that can be used to precisely predict the undrained bearing capacity of the system. For this reason, the bearing capacity of a sandy bed reinforced with geogrid and sitting above a collection of geogrid-encased stone columns floating in soft clay was studied in this research. Using a white-box machine learning (ML) technique called Multivariate Polynomial Regression (MPR), this work aims to develop a model for predicting the bearing capacity of the referred foundation system. For this purpose, two hundred and forty-five experimental results were collected from the literature. In addition, the model was compared to two other ML models, namely, a black-box model known as Random Forest (RF) and a white-box ML model called Linear Regression (LR). In terms of R2 (coefficient of determination) and RMSE (Root Mean Absolute Error) values, the newly proposed model outperforms the two other referred models and demonstrates robust estimation capabilities. In addition, a parametric analysis was carried out to determine the contribution of each input variable and its relative significance on the output.
Joint Optimization of Service Fairness and Energy Consumption for 3D Trajectory Planning in Multiple Solar-Powered UAV Systems
Authors: Cai Shuhan , Liang Junbin
Published: April 2023

In this paper, we study the three-dimensional (3D) trajectory optimization problems of unmanned aerial vehicles (UAV) with a solar energy supply, aiming to provide communication coverage for mobile users on the ground. In general, the higher UAVs fly, the more solar energy they collect, but the smaller the range of coverage they could achieve, and vice versa. How to plan optimal trajectories for UAVs so that more users can be encompassed, while allowing UAVs to collect enough solar energy, is a challenging issue. Moreover, we also consider how geographically fair coverage for each ground user can be achieved. To solve these problems, we designed a multiple solar-powered UAV (SP-UAV) energy consumption model and a fairness model, while designed an observation space, state space, action space, and reward function. Then, we proposed a multiple SP-UAV 3D trajectory optimization algorithm based on deep reinforcement learning (DRL). Our algorithm is able to balance the energy consumption of UAVs to extend the system’s lifetime, while avoiding both collisions and flying out of communication range. Finally, we trained our model through simulation experiments and conducted comparative experiments and analysis based on real network topology data. The results show that our algorithm is superior to the existing typical algorithms in coverage, fairness, and lifetime.