bluuebunny/crossref_metadata_2025 huggingface dataset:
Psychometric characteristics of the career adapt-abilities scale in Thai undergraduate students: a multiple indicators multiple causes model
Authors: Khampirat Buratin
Published: January 2024

Objective

This study aimed to evaluate the psychometric properties of the Career Adapt-abilities Scale (CAAS) and analyze the relationships between sociodemographic variables and career adaptability using the MIMIC model with DIF.

Methods

In this cross-sectional study, the CAAS, consisting of four sub-scales—concern, control, curiosity, and confidence—each comprising six items, was administered to 620 undergraduate students from 34 universities in Thailand. Among the participants, women constituted 66.77%, while men accounted for 32.58% (Mean Age = 20.33). To explore the influence of sociodemographic characteristics on specific CAAS item responses, a Multiple-Indicators, Multiple-Causes model with Differential Item Functioning (MIMIC-model with DIF) was employed.

Results

The findings revealed robust internal consistency and reliability in the CAAS. Both the four-factor and second-order factor models exhibited excellent fit indices, emphasizing the significance of each item within the measure. Sociodemographic characteristics did not demonstrate a significant direct effect on the four CAAS subscales, it is worth noting the exception regarding paternal education. Paternal education was found to have a statistical significance impact on two specific CAAS items: “looking for opportunities to grow as a person” and “becoming curious about new opportunities.”

Conclusion

These findings underscore the intricate influence of paternal education on specific aspects of career adaptability, suggesting that certain dimensions of career adaptability may be shaped by factors extending beyond the conventional sociodemographic variables examined in this study. Future research could delve deeper into the complex interplay of sociodemographic factors and individual attributes to provide a more holistic perspective on career adaptability in Thailand.
The effect of occupational coping self-efficacy on presenteeism among ICU nurses in Chinese public hospitals: a cross-sectional study
Authors: Wu Jijun , Li Yuxin , Lin Qin , Zhang Jiquan , Liu Zhenfan , Liu Xiaoli , Rong Xian , Zhong Xiaoli
Published: January 2024

Background

Nurses are the largest occupational group in the health field, with inestimable value in realizing universal health coverage, and nurses’ physical and mental health has become an ordinary global reality. Compared with explicit absence, nurses’ presenteeism has a more lasting impact and significant harm and loss. It has become an essential factor affecting nurses’ physical and mental health, declining quality of healthcare services, and elevated healthcare-related risks. There is a lack of research exploring whether occupational coping self-efficacy influences nurses’ presenteeism behavior, especially in less-developed regions of China.

Objective

This study aimed to investigate the current status of ICU nurses’ occupational coping self-efficacy and presenteeism in public hospitals in western China and to explore the impact of ICU nurses’ occupational coping self-efficacy on presenteeism.

Methods

A cross-sectional research design selected 722 ICU nurses in western China from January to February 2023 as survey respondents. A general information questionnaire, Occupational Coping Self-Efficacy Scale (OCSE-N), and Stanford Presenteeism Scale (SPS-6) were used. SPSS 21.0 software was used for statistical analysis. Pearson correlation analysis and multivariate hierarchical regression were used to explore the influence of ICU nurses’ occupational coping self-efficacy on presenteeism.

Results

A total of 722 ICU nurses completed the questionnaire. The OCSE-N score of ICU nurses was (22.24 ± 6.15), and the SPS-6 score was (16.83 ± 4.24). The high presenteeism was 67.23%. Correlation analysis showed that in ICU nurses, OCSE-N total score was negatively correlated with SPS-6 total score (r = −0.421, p < 0.05), indicating that the higher the level of occupational coping self-efficacy, the lower the presenteeism. Multiple hierarchical regression analysis showed that occupational coping self-efficacy strongly predicted presenteeism, accounting for approximately 18.35% of the total variance.

Conclusion

There is a correlation between ICU nurses’ occupational coping self-efficacy and presenteeism, and nurses’ occupational coping self-efficacy affects presenteeism differently. Managers should pay attention to nurses’ occupational coping self-efficacy to promote nurses’ presenteeism reduction.
Case report: Psychotherapy for enhancing psychological adjustment to dysphoric milk ejection reflex
Authors: Deif Reem
Published: January 2024

Given its endless benefits, breastfeeding is widely acknowledged as the optimal choice for both maternal and infant health. Nevertheless, breastfeeding mothers often encounter various challenges that may hinder their ability to fully embrace this experience. This report delves into a compelling case of Dysphoric Milk Ejection Reflex (D-MER), a largely underexamined mental health issue among lactating mothers. D-MER is characterized by intense aversion right before milk let down, which can significantly impede a mother’s willingness to breastfeed. The primary aim of this case report is to provide a comprehensive psychological understanding of D-MER, emphasizing aspects of attachment, the transition into motherhood, and the sociocultural sexualization of the female body. We also offer an overview of the psychotherapeutic journey, highlighting key insights and progress achieved over a span of six months. Therapy adopted an integrative approach combining narrative techniques and skills training such as mindfulness to facilitate a comprehensive therapeutic experience. This case underscores the psychological dimensions of the breastfeeding experience, complementing the well-established biochemical and physiological aspects of D-MER. It also emphasizes the need for further research into the psychological facets of both successful and less successful breastfeeding experiences.
The relationship between Internet use and loneliness of middle-aged and older adult people: the moderating effect of residence
Authors: Li Qiusha , Yang Chunxiao , Zhao Zixuan , Yang Chenxiao , Chen Zhongming , Huang Dongmei , Yin Wenqiang
Published: January 2024

Objectives

The proportion of middle-aged and older adult people exposed to the Internet continues to grow. Internet use may have an impact on the mental health of the older adult, especially loneliness. This study analyzed the relationship between Internet use and presence of loneliness.

Methods

A total of 550 person aged 45 years and above were randomly selected from a province in eastern China at the end of 2022. The outcome variable was presence of loneliness, as measured by self-report. Descriptive analysis, chi-square test and binary logistic analysis were used to analyze the data.

Results

58.3% of respondents use the Internet. Internet use could reduce the possible of reported loneliness in middle-aged and older adult people (OR = 0.652, 95%CI: 0.465, 0.940), and residence played a moderating role in the relationship between them. Middle-aged and older adults who used the Internet for 1–3 h (OR = 0.464, 95%CI: 0.275, 0.784) and 3–5 h (OR = 0.484, 95%CI: 0.247, 0.946) were less likely to felt lonely than those who used the Internet for less than 1 h per day. In addition, middle-aged and older adult people using the Internet to contact relatives and friends (OR = 0.488, 95%CI:0.292, 0.818), read the news (OR = 0.485, 95%CI:0.277, 0.848), assets management (OR = 0.297, 95%CI:0.109, 0.818) were less likely to report loneliness, while those who made online payment (OR = 3.101, 95%CI:1.413, 6.807) were more likely to report loneliness.

Conclusion

There is a significant negative correlation between Internet use and presence of loneliness, but different Internet duration and content have different effects on loneliness in middle-aged and older adult people. We should pay attention to the impact of Internet use on loneliness in middle-aged and older adult people.
Towards human-centered AI and robotics to reduce hospital falls: finding opportunities to enhance patient-nurse interactions during toileting
Authors: Rafferty Hannah , Cretaro Cameron , Arfanis Nicholas , Moore Andrew , Pong Douglas , Tulk Jesso Stephanie
Published: January 2024

Introduction: Patients who are hospitalized may be at a higher risk for falling, which can result in additional injuries, longer hospitalizations, and extra cost for healthcare organizations. A frequent context for these falls is when a hospitalized patient needs to use the bathroom. While it is possible that “high-tech” tools like robots and AI applications can help, adopting a human-centered approach and engaging users and other affected stakeholders in the design process can help to maximize benefits and avoid unintended consequences.

Methods: Here, we detail our findings from a human-centered design research effort to investigate how the process of toileting a patient can be ameliorated through the application of advanced tools like robots and AI. We engaged healthcare professionals in interviews, focus groups, and a co-creation session in order to recognize common barriers in the toileting process and find opportunities for improvement.

Results: In our conversations with participants, who were primarily nurses, we learned that toileting is more than a nuisance for technology to remove through automation. Nurses seem keenly aware and responsive to the physical and emotional pains experienced by patients during the toileting process, and did not see technology as a feasible or welcomed substitute. Instead, nurses wanted tools which supported them in providing this care to their patients. Participants envisioned tools which helped them anticipate and understand patient toileting assistance needs so they could plan to assist at convenient times during their existing workflows. Participants also expressed favorability towards mechanical assistive features which were incorporated into existing equipment to ensure ubiquitous availability when needed without adding additional mass to an already cramped and awkward environment.

Discussion: We discovered that the act of toileting served more than one function, and can be viewed as a valuable touchpoint in which nurses can assess, support, and encourage their patients to engage in their own recovery process as they perform a necessary and normal function of life. While we found opportunities for technology to make the process safer and less burdensome for patients and clinical staff alike, we believe that designers should preserve and enhance the therapeutic elements of the nurse-patient interaction rather than eliminate it through automation.
Quantifying soil carbon sequestration from regenerative agricultural practices in crops and vineyards
Authors: Villat Jessica , Nicholas Kimberly A.
Published: January 2024

Introduction

Regenerative agriculture commonly aims to increase soil carbon sequestration, with potential benefits for human and ecosystem health, climate mitigation, and biodiversity. However, the effectiveness of various regenerative practices at increasing carbon sequestration is unclear.

Methods

This study identified and quantified the yearly soil carbon sequestration rate of regenerative practices in arable cropland and vineyard ecosystems through a literature review. We examined N=345 soil carbon sequestration measures across seven regenerative practices – agroforestry, cover cropping, legume cover cropping, animal integration, non-chemical fertilizer, non-chemical pest management, and no tillage.

Results

Our findings indicate that all seven practices effectively increased the carbon sequestration rate. There were no statistically significant differences among the practices. Combining these practices may further enhance soil carbon sequestration.

Discussion

We propose a sequence of regenerative practices that farmers can adopt, balancing ease of implementation and carbon sequestration effectiveness. To address under-studied practices, we recommend further research, including long-term monitoring studies and randomized controlled trials in perennial systems. Our recommendations aim to enhance the implementation and effectiveness of regenerative practices while mitigating the current challenge of limited sample sizes for quantifying carbon sequestration.
Comparative study of each surgical step in radical prostatectomy under 3D and 2D laparoscopy
Authors: Zhang Pengcheng , Pei Yuhan , Zhi Yunlai , Song Ninghong , Sun Fanghu
Published: January 2024

Objective

Comparing the specific advantages and surgical outcomes of each step in radical prostatectomy under 3D vs. 2D laparoscopy.

Methods

From October 2019 to January 2023, our urology department treated 63 cases of prostate cancer, using an odd-even arrangement method to divide into two groups. This is a non-randomized prospective study, with 33 odd-numbered cases in the 3D group and 30 even-numbered cases in the 2D group. The surgery was divided into four steps: (1) establishing an extraperitoneal pneumoperitoneum (2) pelvic lymph node dissection (3)excising the prostate (4)bladder-urethral anastomosis, comparing the two groups in terms of surgical time, blood loss, and relevant postoperative indicators for each step.

Results

All 63 surgeries were successfully completed without any conversions. Comparing 3D and 2D laparoscopy groups, there were statistically significant differences in total surgery time (123.5 ± 15.3 min vs. 145.6 ± 17.2 min, P < 0.05), total blood loss (198.3 ± 18.4 ml vs. 243.1 ± 20.1 ml, P < 0.05), prostate excision time (55.1 ± 8.4 min vs. 67.2 ± 9.3 min, P < 0.05) and blood loss (101.6 ± 12.2 ml vs. 123.8 ± 14.1 ml, P < 0.05), bladder-urethral anastomosis time (30.5 ± 4.3 min vs. 37.6 ± 5.1 min, P < 0.05) and blood loss (62.7 ± 9.7 ml vs. 82.5 ± 8.2 ml, P < 0.05). There were no statistical differences in the time and blood loss during the establishment of extraperitoneal pneumoperitoneum and the cleaning of pelvic lymph nodes (P > 0.05). In terms of urinary incontinence rates, the 3D laparoscopy group was lower than the 2D group, and in terms of preserving erectile function, the 3D group was higher than the 2D group, with significant statistical differences (P < 0.05). There were no statistically significant differences between the two groups in terms of postoperative drainage days, hospitalization days, hospitalization costs, time of catheter removaland positive margin rates (P > 0.05).

Conclusion

Compared to traditional 2D laparoscopy, 3D laparoscopy can shorten the operation time and reduce bleeding in the steps of prostate excision and bladder-urethral anastomosis, but there was no significant difference in peri-operative outcomes.
Unlocking the Potential of Cable-Driven Continuum Robots: A Comprehensive Review and Future Directions
Authors: Bai Haotian , Lee Boon Giin , Yang Guilin , Shen Wenjun , Qian Shuwen , Zhang Haohao , Zhou Jianwei , Fang Zaojun , Zheng Tianjiang , Yang Sen , Huang Liang , Yu Bohan
Published: January 2024

Rigid robots have found wide-ranging applications in manufacturing automation, owing to their high loading capacity, high speed, and high precision. Nevertheless, these robots typically feature joint-based drive mechanisms, possessing limited degrees of freedom (DOF), bulky structures, and low manipulability in confined spaces. In contrast, continuum robots, drawing inspiration from biological structures, exhibit characteristics such as high compliance, lightweight designs, and high adaptability to various environments. Among them, cable-driven continuum robots (CDCRs) driven by multiple cables offer advantages like higher dynamic response compared to pneumatic systems and increased working space and higher loading capacity compared to shape memory alloy (SMA) drives. However, CDCRs also exhibit some shortcomings, including complex motion, drive redundancy, challenging modeling, and control difficulties. This study presents a comprehensive analysis and summary of CDCR research progress across four key dimensions: configuration design, kinematics and dynamics modeling, motion planning, and motion control. The objective of this study is to identify common challenges, propose solutions, and unlock the full potential of CDCRs for a broader range of applications.
Environment Aware Friction Observer with Applications to Force Control Benchmarking
Authors: Dimo Eldison , Calanca Andrea
Published: January 2024

The benchmarking of force control algorithms has been significantly investigated in recent years. High-fidelity experimental benchmarking outcomes may require high-end electronics and mechanical systems not to compromise the algorithm’s evaluation. However, affordability may be highly desired to spread benchmarking tools within the research community. Mechanical inaccuracies due to affordability can lead to undesired friction effects which in this paper are tackled by exploiting a novel friction compensation technique based on an environment-aware friction observer (EA-FOB). Friction compensation capabilities of the proposed EA-FOB are assessed through simulation and experimental comparisons with a widely used static friction model: Coulomb friction combined with viscous friction. Moreover, a comprehensive stability comparison with state-of-the-art disturbance observers (DOBs) is conducted. Results show higher stability margins for the EA-FOB with respect to traditional DOBs. The research is carried on within the Forecast project, which aims to provide tools and metrics to benchmark force control algorithms relying on low-cost electronics and affordable hardware.
Modeling and Control of a Linear Piezoelectric Actuator
Authors: Li Huaiyong , Tong Yujian , Li Chong
Published: January 2024

To improve the output displacement of piezoelectric actuators, a linear piezoelectric actuator based on a multistage amplifying mechanism with a small volume, large thrust, high resolution, high precision, and fast response speed is proposed. However, inherent nonlinear characteristics, such as hysteresis and creep, significantly affect the output accuracy of piezoelectric actuators and may cause system instability. Therefore, a complex nonlinear hysteresis mathematical model with a high degree of fit was established. A Play operator was introduced into the backpropagation neural network, and a genetic algorithm (GA) was used to reduce the probability of the fitting of the neural network model falling into a local minimum. Moreover, simulation and experimental test platforms were constructed. The results showed that the maximum displacement of the actuator was 558.3 μm under a driving voltage of 150 V and a driving frequency of 1 Hz. The complex GA-BP neural network model of the piezoelectric actuator not only exhibited high modeling accuracy but also solved the problems of strong randomness and slow convergence. Compared with other control algorithms, the GA-BP fuzzy PID control exhibited higher control precision.
Fundamental Study on Force-Projecting Bilateral Control for Pneumatically Driven Follower Device
Authors: Haraguchi Daisuke , Monden Rin
Published: January 2024

This paper proposes the application of force-projecting bilateral control to a master-follower teleoperation system with pneumatic drive on the follower side and evaluates its effectiveness. The proposed method directly projects the operating force on the master side to the driving force on the follower side, eliminating the need for both position control and external force detection on the follower side, thereby solving the problem of low rigidity and response delay of a pneumatic servo system and providing highly stable sensor-less force presentation against variable environments. In this study, dynamic response analyses of a 1-DOF master-follower system were performed by numerical simulation using a linear system model, followed by experimental verification by implementing an actual system with an external force estimator. The results showed that the proposed force-projecting bilateral control has significantly higher positioning rigidity and better force control stability than the conventional force-reflecting bilateral control. A theoretical consideration was also given using the equivalent transformation of force transfer functions to provide evidence of high stability.
Conceptual Design of a Hydrogen-Hybrid Dual-Fuel Regional Aircraft Retrofit
Authors: Rischmüller Ulrich Carsten Johannes , Lessis Alexandros , Egerer Patrick , Hornung Mirko
Published: January 2024

A wide range of aircraft propulsion technologies is being investigated in current research to reduce the environmental impact of commercial aviation. As the implementation of purely hydrogen-powered aircraft may encounter various challenges on the airport and vehicle side, combined hydrogen and kerosene energy sources may act as an enabler for the first operations with liquid hydrogen propulsion technologies. The presented studies describe the conceptual design of such a dual-fuel regional aircraft featuring a retrofit derived from the D328eco under development by Deutsche Aircraft. By electrically assisting the sustainable aviation fuel (SAF) burning conventional turboprop engines with the power of high-temperature polymer-electrolyte fuel cells, the powertrain architecture enables a reduction of SAF consumption. All aircraft were modeled and investigated using the Bauhaus Luftfahrt Aircraft Design Environment. A description of this design platform and the incorporated methods to model the hydrogen-hybrid powertrain is given. Special emphasis was laid on the implications of the hydrogen and SAF dual-fuel system design to be able to assess the potential benefits and drawbacks of various configurations with the required level of detail. Retrofit assumptions were applied, particularly retaining the maximum takeoff mass while reducing payload to account for the propulsion system mass increase. A fuel cell power allocation of 20% led to a substantial 12.9% SAF consumption decrease. Nonetheless, this enhancement necessitated an 18.1% payload reduction, accompanied by a 34.5% increment in propulsion system mass. Various additional studies were performed to assess the influence of the power split. Under the given assumptions, the design of such a retrofit was deemed viable.
Numerical Simulation of the Transient Thermal Load of a Sightseeing Airship Cockpit
Authors: Li Xiaoyang , Lin Xiaohui , Xu Changyue , Li Zhuopei
Published: January 2024

The calculation of a cockpit’s transient thermal load is important for determining the capacity of the cockpit environmental control system, ensuring the safety of electronic equipment and increasing the health and comfort of cockpit occupants. According to the structural parameters of the cockpit of a sightseeing airship, a physical model is established. The turbulence model and calculation method are selected and verified. The transient thermal load within full flight envelope, the cockpit thermal loads at different times of the day, and the cockpit thermal loads under different free-flow velocities are obtained based on the Computational Fluid Dynamics (CFD) method. The cockpit transient thermal loads during different seasons are also obtained. The results show that solar radiation has a great influence on the cockpit transient thermal load. As the flight altitude increases, the thermal load decreases from 8.8 kW (H = 0 m) to 4.7 kW (H = 3000 m). With the change in the solar radiation intensity and solar radiation angle, the thermal load increases considerably, from 2.2 kW (8:00 a.m.) to 5.4 kW (12:00 a.m.). The influence of the free-flow velocity is not very obvious at an altitude of 3000 m, as discussed in this study. The influence of seasons is significant. Finally, the influence of the solar absorptivity and infrared emissivity of the cockpit surface material are studied, and the temperature distribution on the cockpit’s surface is determined.
Comparison of Engine Performance and Emission Values of Biodiesel Obtained from Waste Pumpkin Seeds with Machine Learning
Authors: Şahin Seda , Torun Ayşe
Published: January 2024

This study was primarily conducted to investigate the potential use of pumpkin seed oil in biodiesel production. Initially, the fatty acid composition of oils extracted from discarded pumpkin seeds was determined. Then, biodiesel produced from discarded pumpkin seed oil was tested in an engine test setup. The performance and emission values of a four-cylinder diesel engine fueled with diesel (D100), biodiesel (PB100), and blended fuels (PB2D98, PB5D95, and PB20D80) were determined. Furthermore, three distinctive machine learning algorithms (artificial neural networks, XGBoost, and random forest) were employed to model engine performance and emission parameters. Models were generated based on the data from the PB100, PB2D98, and PB5D95 fuels, and model performance was assessed through the R2, RMSE, and MAPE metrics. The highest torque value (333.15 Nm) was obtained from 1200 rpm of D100 fuel. PB2D98 (2% biodiesel–98% diesel) had the lowest specific fuel consumption (194.33 g HPh−1) at 1600 rpm. The highest BTE (break thermal efficiency) value (30.92%) was obtained from diesel fuel at 1400 rpm. Regarding the blended fuels, PB2D98 exhibited the most fuel-efficient performance. Overall, in terms of engine performance and emission values, PB2M98 showed the closest results to diesel fuel. A comparison of machine learning algorithms revealed that artificial neural networks (ANNs) generally performed the best. However, the XGBoost algorithm proved to be more successful than other algorithms at predicting the performance and emissions of PB20D80 fuel. The present findings demonstrated that the XGBoost algorithm could be a more reliable option for predicting engine performance and emissions, especially for data-deficient fuels such as PB20D80.
Spatial Analysis of Seasonal and Trend Patterns in Romanian Agritourism Arrivals Using Seasonal-Trend Decomposition Using LOESS
Authors: Gordan Marius-Ionuț , Popescu Cosmin Alin , Călina Jenica , Adamov Tabita Cornelia , Mănescu Camelia Maria , Iancu Tiberiu
Published: January 2024

Seasonal variations in the tourism industry consist of alternating patterns of overuse and underuse of touristic potential and resources, which correspond to overexertion in the peak periods and to reduced income levels in the trough periods. We analyze both trend and seasonal components for agritouristic boarding houses, conventional boarding houses, hotels, and overall arrivals in 41 Romanian counties by using the Season-Trend decomposition using the LOESS method previously used in forecasting. Our findings suggest that there is a moderate positive relation between trend and seasonality in agritouristic boarding houses, a situation that is not shared with other types of accommodation units studied. While at a country-wide level the seasonal character of agritourism is not significantly different from other types of accommodations studied, in some counties located in south-east Romania, the seasonality exhibited by agritourism is significantly lower. Agritourism seasonal patterns exhibit spatial correlation features, indicating that underlying natural and anthropic causes exert more influence than in the case of other types of accommodations. These findings may be used to shape public policy and entrepreneur behavior in agritourism and rural tourism, domains where farm income diversification is instrumental to surviving events such as crop failures, price changes, and consumer behavior.
Mapping Soybean Planting Areas in Regions with Complex Planting Structures Using Machine Learning Models and Chinese GF-6 WFV Data
Authors: She Bao , Hu Jiating , Huang Linsheng , Zhu Mengqi , Yin Qishuo
Published: January 2024

To grasp the spatial distribution of soybean planting areas in time is the prerequisite for the work of growth monitoring, crop damage assessment and yield estimation. The research on remote sensing identification of soybean conducted in China mainly focuses on the major producing areas in Northeast China, while paying little attention to the Huang-Huai-Hai region and the Yangtze River Basin, where the complex planting structures and fragmented farmland landscape bring great challenges to soybean mapping in these areas. This study used Chinese GF-6 WFV imagery acquired during the pod-setting stage of soybean in the 2019 growing season, and two counties i.e., Guoyang situated in the northern plain of Anhui Province and Mingguang located in the Jianghuai hilly regionwere selected as the study areas. Three machine learning algorithms were employed to establish soybean identification models, and the distribution of soybean planting areas in the two study areas was separately extracted. This study adopted a stepwise hierarchical extraction strategy. First, a set of filtering rules was established to eliminate non-cropland objects, so the targets of subsequent work could thereby focus on field vegetation. The focal task of this study involved the selection of well-behaved features and classifier. In addition to the 8 spectral bands, a variety of texture features, color space components, and vegetation indices were employed, and the ReliefF algorithm was applied to evaluate the importance of each candidate feature. Then, a SFS (Sequential Forward Selection) method was applied to conduct feature selection, which was performed coupled with three candidate classifiers, i.e., SVM, RF and BPNN to screen out the features conductive to soybean mapping. The accuracy evaluation results showed that, the soybean identification model generated from SVM algorithm and corresponding feature subset outperformed RF and BPNN in both two study areas. The Kappa coefficients of the ground samples in Guoyang ranged from 0.69 to 0.80, while those in Mingguang fell within the range of 0.71 to 0.76. The near-infrared band (B4) and red edge bands (B5 and B6), the ‘Mean’ texture feature and the vegetation indices, i.e., EVI, SAVI and CIgreen, demonstrated advantages in soybean identification. The feature selection operation achieved a balance between extraction accuracy and data volume, and the accuracy level could also meet practical requirements, showing a good application prospect. This method and findings of this study may serve as a reference for research on soybean identification in areas with similar planting structures, and the detailed soybean map can provide an objective and reliable basis for local agricultural departments to carry out agricultural production management and policy formulation.
Climate Change Effects on Texas Dryland Winter Wheat Yields
Authors: Salinas Cori , Osei Edward , Yu Mark , Guney Selin , Lovell Ashley , Kan Eunsung
Published: January 2024

Wheat offers winter forage for cattle grazing and is one of the most valuable cash crops in Texas. In this study, we evaluate the impacts of climate change projections on winter wheat grain yields in five major wheat producing counties in Texas (Deaf Smith, Ochiltree, Hansford, Moore, and Parmer). For this purpose, extant soil and climate data were utilized in conjunction with Agricultural Policy Environmental eXtender (APEX) and Coupled Model Intercomparison Project—Phase 5 (CMIP 5) climate projections to determine the most reasonable future trajectory of Texas winter wheat yields. The results indicate that Deaf Smith and Parmer counties are projected to experience the greatest yield decrease, 33.33%, about 696 kg/ha under the CMIP5 RCP4.5 (Texas projected temperature increase between 2.2 and 3.3 °C) 2046–2070 scenario compared to a 1981–2017 baseline. The maximum percentage yield increase was noticed in Ochiltree County under the CMIP5 RCP8.5 2071–2095 scenario, with an 84.2% (about 1857 kg/ha) yield increase compared to the 1981–2017 baseline. Parmer County is projected to experience the greatest yield decrease of 20%, about 348 kg/ha, under the RCP4.5 2046–2070 scenario when compared to the 1981–2005 baseline. The maximum percentage yield increase is projected for Ochiltree County—a 105.9% increase, about 2089 kg/ha—under the RCP8.5 2071–2095 scenario when compared to the 1981–2005 baseline. In general, with few exceptions, winter wheat yields are projected to rise under the projected climate scenarios.
Correction: Son et al. Variation in Pathogenic Organisms as Affected by Using Hydroponic Nutrient Wastewater in Horticultural Facilities. Agriculture 2022, 12, 1340
Authors: Son Jinkwan , Kang Taegyeong , Park Minjung , Kong Minjae , Choi Hyun-Sug
Published: January 2024

The original article [...]
The Use and Management of Agricultural Irrigation Systems and Technologies
Authors: Arbat Gerard , Masseroni Daniele
Published: January 2024

Agricultural irrigation systems help provide food to meet the growing demands of the global population [...]
Effect of Cyclic Loading Treatment on the Compression Energy and Creep Properties of Machine-Harvested Seed Cotton
Authors: Wei Ximei , Wang Meng , Zhang Hongwen , Wang Lei , Du Xintian , Chen Lixin , Zhi Shaohua
Published: January 2024

Machine-harvested seed cotton was taken as the research object to further clarify its creep performance, minimize its power consumption during the loading process, and obtain a better loading method. The uniaxial compression creep test was carried out using the Instron universal material test bench to apply cyclic loading treatment. The test factors included cyclic loading times, cyclic stress peak, and cyclic loading frequency. The energy consumption curve of the machine-harvested seed cotton during cyclic loading was obtained through OriginPro 2019b software, and its energy change law was analyzed. Creep strain was divided into two parts, namely, initial creep strain and creep strain increment, to elucidate the creep mechanism. The Burgers model was chosen to describe the creep strain increment. Results show that machine-harvested seed cotton exhibits energy consumption hysteresis during cyclic loading. The compression energy rapidly decreases with increasing cyclic loading times and then stabilizes. Meanwhile, the compression energy increases with increasing cyclic stress peak and cyclic loading frequency. The creep strain mechanism is also the same, which first rapidly increases and then levels off. Cyclic loading times, cyclic stress peak, and cyclic loading frequency have different effects on creep strain increment, instantaneous elastic modulus, hysteresis elastic modulus, viscosity coefficient, delay time, and relative deformation index. Finally, disregarding power consumption and interaction, extending the cyclic loading time, and increasing the cyclic stress peak while simultaneously minimizing the cyclic loading frequency can reduce the relative deformation index in the creeping stage. Accordingly, the deformation retention ability in the creep is improved, but the compression energy in the cyclic loading increases. The results can provide theoretical and data support for studying the theoretical basis of the rheological properties of machine-harvested seed cotton, the design of seed cotton baling devices, and the study of bale (mold) forming quality.
Assessing Salinity Tolerance and Fruit Quality of Pepper Landraces
Authors: Ntanasi Theodora , Savvas Dimitrios , Karavidas Ioannis , Papadopoulou Evgenia Anna , Mazahrirh Naem , Fotopoulos Vasileios , Aliferis Konstantinos A. , Sabatino Leo , Ntatsi Georgia
Published: January 2024

Soil salinity caused by climate change is a major global issue, especially in regions like the Mediterranean basin. Most commercially cultivated horticultural species, including pepper, are considered to be salt sensitive. However, some underutilized genotypes exhibit high adaptability to adverse environmental conditions, without compromising yield. This study aimed to investigate the effects of salinity stress on the yield, nutrition, and fruit quality of four pepper landraces: JO 109 (Capsicum annuum var. grossum), JO 204 (Capsicum annuum var. grossum), JO 207 (Capsicum annuum var. grossum), and ‘Florinis’. The California cultivar ‘Yolo Wonder’ and the commercial F1 hybrid ‘Sammy RZ‘ were used as controls. The experiment was conducted in the greenhouse facilities of the Laboratory of Vegetable Production at the Agricultural University of Athens. Half of the plants were exposed to a nutrient solution containing NaCl at a concentration that could maintain the NaCl level in the rhizosphere at 30 mM (salt-treated plants), while the remaining plants were irrigated with a nutrient solution containing 0.5 mM NaCl (control plants). Yield and yield quality attributes, such as firmness, titratable acidity (TA), total soluble solids content (TSSC), fruit height, and diameter were recorded. The results revealed that the landraces were more tolerant to salinity than the commercial varieties ‘Yolo Wonder’ and ‘Sammy RZ’. Moreover, subjecting pepper plants to increased salinity resulted in increased fruit quality, manifested by an increase in TSSC and TA.
Biocontrol Effect of Bacillus subtilis against Cnaphalocrocis medinalis (Guenèe) (Lepidoptera: Pyralidae): A Sustainable Approach to Rice Pest Management
Authors: Janaki Muthusamy , Sivadasan Unni Pavana K. , Stanley-Raja Vethamonickam , Senthil-Nathan Sengottayan , Almutairi Bader O. , Abdel-Megeed Ahmed
Published: January 2024

Agricultural pests can be effectively controlled using microbes, providing an eco-friendly alternative to available synthetic pesticides. Suitable entomopathogenic bacterial strains were collected from agricultural fields and evaluated for their insecticidal potential against Cnaphalocrocis medinalis. In the four tested entomopathogenic bacteria (W1, Yc1, S1, EB01), the larval mortality ranged from 38 to 74%. Among these isolates, Bacillus subtilis (EB01) induced the highest mortality (74%). In greenhouse conditions, the tests confirm that the results were dosage-dependent: B. subtilis infection considerably delayed the overall development period, reduced pupal conversion, and decreased adult emergence with induced morphological deformities. Larvae fed B. subtilis-treated leaves initiate bacterial infection and broadly damage the midgut tissue, including the epithelial and peritrophic layers. The bacterial growth in the C. medinalis hemolymph considerably increases the activity of enzymes like α and β esterase (85.14 and 44% at 96 h) compared to the control. The isolate B. subtilis-treated diet significantly reduced the larval digestive α and β galactosidase enzyme activity (88.17 and 91.88% at 96 h). Furthermore, germination bioassay with strain EB01 in rice varieties (TN1 and ASD16) significantly increased both varieties’ germination and biomass index. This study shows that the B. subtilis EB01 strain potentially inhibited the biological activity of C. medinalis and improved the rice seeds’ germination index. It can be a potential biocontrol agent in sustainable pest-management strategies.
Variation in Nutritional Value of Diverse Wheat Genotypes
Authors: Petrović Sonja , Vila Sonja , Grubišić Šestanj Sanja , Rebekić Andrijana
Published: January 2024

Due to the health problems caused by the malnutrition of the world’s population, the focus of wheat breeding is turning to the improvement of the nutritional quality of wheat grain. Recently, the consumption of wheatgrass has become increasingly popular. The aim of this study was to determine the variability of total Mg, Fe, and Zn concentration, protein content, and phytic acid in wheat grains for a total of 93 genotypes. In addition, the variability of total and in vitro bioavailable concentrations of Mg, Fe, and Zn and protein content in the fresh juice of wheatgrass was investigated for the same 93 genotypes. The results obtained indicated significant variation in the phytate and nutrient compounds among examined wheat genotypes. In the grain, all examined traits significantly varied except Fe; the largest variability was found in phytate concentration (45.6%). In wheatgrass juice, the greatest variability was found for the in vitro bioavailable Zn (38.3%). Within wheat genotypes, outstanding values for some traits were detected, which could be used in breeding programs. The development of mineral-rich wheat genotypes depends on the identification of genetic resources with high levels of essential micronutrients and a better understanding of genotypic and environmental interactions.
Gamma-Aminobutyric Acid-Mediated Alkalinity Stress Alleviation in Lollo Rosso Lettuce under Diverse Light Spectra
Authors: Mirzaei Shima , Moradi Shirin , Karimi Morteza , Esmaeili Sara , Gruda Nazim S. , Aliniaeifard Sasan
Published: January 2024

The agricultural sector faces challenges due to climate change and the growing global population. Alkaline stress could adversely impact plant growth and crop production. This stressor diminishes water quality essential for crop cultivation, consequently impairing plant growth and overall productivity. Gamma-aminobutyric acid (GABA), a non-protein amino acid, may exhibit multifaceted roles in plant responses to adverse environmental conditions. Optimization of crop production in controlled environmental agriculture under artificial light attracted much attention. In the present study, we investigated the effects of different light spectra and GABA concentrations on Lollo Rosso lettuce plants under alkaline stress. Seedlings were placed under different light spectra [red (R), blue (B), white (W), 3R:1B, and 2R:1B:1far red (FR)] and treated with GABA (0 and 50 µmol). Alkaline conditions were instituted by applying NaHCO3 at a concentration of 40 mM. The experiment incorporated a control treatment without NaHCO3. In general, R light exposure caused the highest growth performance of lettuce plants. GABA augmented biomass production in control and alkaline-treated plants across all light spectra. Additionally, it increased the concentrations of photosynthetic and protective pigments under alkaline conditions. GABA also improved the photosynthetic performance under all light spectra. Non-photochemical quenching and pigmentation were enhanced by exposure to B light, especially in plants treated with GABA. Alkaline stress induced an increase in soluble carbohydrate content in the lettuce leaves. These findings highlight the support of GABA application in facilitating coping plants to alkaline stress.
Yield and Quality Traits of Tomato ‘San Marzano’ Type as Affected by Photo-Selective Low-Density Polyethylene Mulching
Authors: Sifola Maria Isabella , Di Mola Ida , Cozzolino Eugenio , Ottaiano Lucia , Nocerino Sabrina , Riccardi Riccardo , Spigno Patrizia , Mori Mauro
Published: January 2024

The aim of the present study is to investigate the effect of differently colored low-density polyethylene mulching films (black, silver/brown, and yellow/brown) in comparison with bare soil (BS) on soil temperatures, yield and yield components (number of fruit and average fruit weight), and fruit quality traits (color, firmness, total soluble solids content, polyphenols, flavonoids, ascorbic acid, carotenoids, and antioxidant activity) of a ‘San Marzano’ tomato crop grown in Southern Italy over two years (2014 and 2015). The warmer season (2015) shortened the cropping cycle (124 vs. 178 days, 2015 vs. 2014), thereby accelerating fruit ripening and improving firmness and redness (on average, the color parameter a/b was greater than in 2014). It determined the best yield response (53 vs. 44 Mg ha−1) by increasing the number of commercial fruits per unit land area despite the lower average fresh weight (AFW) than the first year. Regardless of the different plastic films, in both years, soil heat storage produced by mulching improved yield as compared to BS and showed a positive and significant effect on the contents of total soluble solids, polyphenols, flavonoids, and carotenoids without affecting the antioxidant activity. The highest values of quality traits were reached in the second year with silver and yellow mulches. Therefore, since the colored mulching films (yellow and silver) had a contradictory effect on yield and quality in the two years, further investigation is desirable.
Straw and Biochar Application Alters the Structure of Rhizosphere Microbial Communities in Direct-Seeded Rice (Oryza sativa L.) Paddies
Authors: Tang Zhiqiang , He Na , Zhang Liying , Wang Lili , Gong Diankai , Wang Changhua , Wang Hui , Sui Guomin , Zheng Wenjing
Published: January 2024

A comprehensive understanding of rice straw (RS) and biochar (BC) addition affecting soil quality, enzyme activities, bacterial community structure and grain yield is crucial. The objective of this study was to examine the dynamics of the soil microbial community impacted by the application of rice straw and biochar, and to understand the relationship between the microbial communities, soil enzymes, nutrients and grain yield of paddies. We conducted a field experiment with organic amendments under the direct seeding of paddies. The bacterial community structure in the rhizosphere was characterized using high-throughput 16S rRNA sequencing. The results showed that RS amendment increased grain yields by 8.5 and 9.9% more than with BC and the control without organic amendment (CK), respectively (p < 0.05). The abundance of bacteria associated with nitrate reduction in RS was higher than that in BC and CK, which further showed the significance of the RS-treated soil bacteria in rice nutrient utilization. A cladogram plotted using linear discriminant analysis effect size showed that Proteobacteria (Alphaproteobacteria), Acidobacteria, Firmicutes, Verrucomicrobia and Epsilonbacteraeota in the RS-treated soil increased in comparison with CK. Pearson’s correlation analysis showed that enzymes activities (cellulase activity and protease activity), soil nutrition content (soil hydrolyzable nitrogen), and bacterial phyla (Nitrospinae) were positively correlated with grain yield, suggesting that the RS-treated soil improved enzyme activities, soil nutrition content, and bacterial abundance, which in turn increased grain yield. The results indicated that RS-treated bacterial communities combined with soil enzymatic activities strengthen the transformation of nutrients, suggesting that the interactions play an important role in enhancing the grain yield of paddy rice. These results provide new insights and a theoretical basis for studying the changes in soil microbial communities with the application of RS and BC in Northeastern China.
Development of Porcine Accessory Sex Glands
Authors: Berger Trish , Guerrero Valerie , Boeldt Rosalina , Legacki Erin , Roberts Megan , Conley Alan J.
Published: January 2024

Accessory sex glands are recognized as targets of human disease and may have roles in reproductive success in livestock. The current experiments evaluated the influences of endogenous steroids on the development of porcine accessory sex glands, primarily in the neonatal period. When the aromatase inhibitor, letrozole, was used to inhibit the production of endogenous estrogens in the postnatal interval, growth of the seminal vesicles, prostate, and bulbourethral glands was stimulated. The weights of seminal vesicles, prostate, and bulbourethral glands approximately doubled at 6.5 weeks of age when the reduction in endogenous estrogens began at 1 week of age (p < 0.01). However, by 20 and 40 weeks of age, the weights of accessory sex glands were similar between the letrozole-treated boars and the vehicle-treated littermates indicating the growth stimulation was a transient effect when the treatment interval was short. The presence of both classical nuclear estrogen receptors and the G protein-coupled estrogen receptor in neonatal accessory sex glands indicated multiple signaling pathways might mediate the growth inhibition by endogenous estrogens. The absence of a detectable response when the classical estrogen receptors were blocked with fulvestrant (or when the androgen receptor was blocked with flutamide) suggests that endogenous estrogens act through the G protein-coupled estrogen receptor to inhibit the development of accessory sex glands during this neonatal to early juvenile interval.