bluuebunny/crossref_metadata_2025 huggingface dataset:
Latent class analysis and longitudinal development trajectory study of psychological distress in patients with stroke: a study protocol
Authors: Guo Yunmei , Zhou Ming , Yan Xin , Liu Ying , Wang Lianhong
Published: June 2024

Background

Psychological distress affects the treatment and rehabilitation of patients with stroke, affects their long-term functional exercise and quality of life, and increases the risk of stroke recurrence and even death. This is a multi-dimensional and multi-level mental health problem and a dynamic process variable that shows a dynamic development trend with time. However, previous studies have been insufficient to deeply study the change mechanism of psychological distress, and there remains a lack of forward-looking longitudinal studies to analyze its change trajectory. This study aimed to investigate potential categories and how psychological distress changes over time and to examine conversion probability in these transformation processes.

Methods

This prospective longitudinal mixed-method study investigated the potential categories and change trajectories of distress in patients with stroke. A total of 492 participants from three hospitals were recruited for quantitative analysis. Latent class analysis and latent transition analysis (LCA/LTA) were used to identify meaningful subgroups, transitions between those classes across time, and baseline demographic features that help predict and design tailored interventions.

Discussion

A comprehensive understanding of the potential category and transformation processes of psychological distress over time, including the impact of the sense of demographic data on the role of shame and loneliness, can lead to the development of psychological distress treatment tailored to the unique needs of patients with stroke. Thus, this study can promote more effective and successful treatment outcomes, reduce the stigma surrounding disease issues among patients, and encourage them to use psychological consultation.
Prevalence of smartphone addiction and its relation with psychological distress and internet gaming disorder among medical college students
Authors: Zhang Ming , Chi Chenru , Liu Qingwei , Zhang Yuhao , Tao Xiubin , Liu Huan , Xuan Bin
Published: June 2024

Background

The incidence of smartphone addiction has been widely studied, but the research on the relationship between smartphone addiction and psychological distress and internet gaming disorder is limited. This study investigated the characteristics and prevalence of smartphone addiction and its relation with psychological distress and internet gaming disorder. Furthermore, it provides the scientific basis for intervention measures in schools, families, and society.

Methods

A random cluster sampling method was applied to investigate 656 medical students from grades 1 to 4 at Wannan Medical College in Anhui province, People’s Republic of China. The questionnaire consisted of general information, a smartphone addiction scale, an Internet gaming disorder scale, and a Kessler 6-item psychological distress test. The obtained results were first summarized using descriptive statistics. The Chi-square test was used to compare the status of smartphone addiction. Binary logistic regression was used to analyze the relationship between smartphone addiction and various variables.

Results

Our results showed that the prevalence of smartphone addiction in medical students was 49.5% (325/656). Psychological distress (p < 0.001), internet gaming disorder (p < 0.001), and childhood trauma (p = 0.001) were highly correlated with smartphone addiction in medical students. Psychological distress, and internet gaming disorder were positively associated with smartphone addiction (p < 0.000).

Conclusion

The prevalence of smartphone addiction is high among medical students in Chinese. Smartphone addiction is highly related to related to internet gaming disorder and psychological distress.
Validity and reliability of the Korean version of the Digital Burnout Scale
Authors: Choi Seung-Yi , Kim Jung-Hee
Published: June 2024

Objectives

To investigate the factor structure and verify the validity and reliability of the Korean version of the Digital Burnout Scale (DBS) among Generation Z university students.

Methodology

The World Health Organization guidelines were employed in the forward and back translation, synthesis, cross-cultural adaptation, and pre-survey phases to result in the Korean version of the DBS. The Korean version was then used to collect data from 330 university students online. Construct, convergent, discriminant, and concurrent validity, and internal consistency were assessed.

Findings

The Korean version of the DBS had three subscales (digital aging, digital deprivation, and emotional exhaustion) and included 24 items. The results of the confirmatory factor analysis indicated adequate model fit indices. Convergent, discriminant, and concurrent validity were satisfactory. The Cronbach’s ⍺ for the overall scale was 0.95.

Conclusion

The Korean version of the DBS has good reliability and validity and can be used as a tool to assess the level of risk of digital burnout and provide appropriate support and intervention.

Implications

The Korean version of the DBS will serve as a framework for developing healthy digital education by grasping individual characteristics. Longitudinal research is recommended to identify factors that cause digital usage and burnout for various age groups.
The impact of intergenerational support on social participation patterns of older adults in rural China
Authors: Wang Ping , Cheng Xin
Published: June 2024

Objectives

This study aimed to examine the association between different dimensions of bi-directional intergenerational support and the social participation patterns of rural older adults, while also exploring the heterogeneity of these older adults by gender and age.

Methods

Based on longitudinal survey data from the ‘Well-Being of Older People in Anhui Province (WESAP)’ in 2018 and 2021, this study used latent class analysis to identify social participation patterns and used multinomial logistic regressions to explore the relationship between intergenerational support and social participation patterns among rural older adults.

Results

First, the social participation patterns of rural older persons can be divided into four categories: leisure type (9%), work type (11%), housekeeping type (57.9%) and family labor type (22.1%). Second, there is heterogeneity in the relationship between intergenerational support and social participation patterns in older people, among them, receiving financial support decreased the likelihood of older adults being categorized as work type and family labor type by 14 and 7.7%, respectively, while providing financial support increased the likelihood of older adults belonging to the family labor type by 7.5%; receiving caring support increased the likelihood of older parents being categorized as leisure type by 6%, while providing caring support decreased the likelihood of older parents being categorized as leisure type by 10%; emotional support is related to all patterns of social participation among older adults. Third, the effects of intergenerational support vary across subgroups based on gender and age.

Conclusion

Two-way intergenerational support was significantly associated with social participation among rural older adults, and there was significant heterogeneity in this association. Children and older persons should be encouraged to strengthen two-way intergenerational mobility to give full play to the positive impact of different dimensions of intergenerational support on the social participation of older persons in rural areas, ultimately enhancing the quality of life for rural older adults.
Sugary snack restriction enhances body composition improvement in overweight women engaging in non-face-to-face walking during COVID-19
Authors: Lee Youngjun , Kim Nahyun , Go Seunghwan , Kim Jisu , Park Jonghoon
Published: June 2024

Introduction

This study assesses the impact of dietary modification, specifically sugary snack restriction, in conjunction with a brisk walking program on overweight management in young overweight women, with a focus on changes in body composition and glucose metabolism.

Method

An 8-week randomized controlled trial was conducted amidst the COVID-19 pandemic, utilizing a remote intervention approach to comply with health guidelines and ensure participant safety. The study’s remote nature highlights adaptability in health interventions during challenging periods, such as the COVID-19 pandemic. Twenty-one overweight Korean women aged 20–39, with an average BMI of 24.6, were selected for the study. They were divided into two groups: one engaging in brisk walking and the other combining this exercise with a sugary snack restriction, demonstrating the study’s focus on comparative intervention efficacy.

Results

The exercise-only group showed notable reductions in glucose, insulin, HOMA-IR (p < 0.05), and total cholesterol levels (p < 0.01). In contrast, the group that combined exercise with dietary modification displayed more pronounced improvements in body weight, fat mass, and waist circumference (p < 0.05). This differential outcome emphasizes the added benefit of integrating dietary control with physical activity.

Discussion

The findings suggest that adding a dietary component, particularly a sugary snack restriction, to an exercise regimen can significantly enhance the effectiveness of overweight management in young women. This study underscores the importance of holistic lifestyle interventions that combine dietary and physical activity modifications for improved health outcomes.
Enhancing breast cancer treatment selection through 2TLIVq-ROFS-based multi-attribute group decision making
Authors: Rasheed Muhammad Waheed , Mahboob Abid , Mustafa Anfal Nabeel , Badi Israa , Ali Zainab Abdulkhaleq Ahmed , Feza Zainb H.
Published: June 2024

Introduction

Breast cancer is an extremely common and potentially fatal illness that impacts millions of women worldwide. Multiple criteria and inclinations must be taken into account when selecting the optimal treatment option for each patient.

Methods

The selection of breast cancer treatments can be modeled as a multi-attribute group decision-making (MAGDM) problem, in which a group of experts evaluate and rank alternative treatments based on multiple attributes. MAGDM methods can aid in enhancing the quality and efficacy of breast cancer treatment selection decisions. For this purpose, we introduce the concept of a 2-tuple linguistic interval-valued q-rung orthopair fuzzy set (2TLIVq-ROFS), a new development in fuzzy set theory that incorporates the characteristics of interval-valued q-rung orthopair fuzzy set (IVq-ROFS) and 2-tuple linguistic terms. It can express the quantitative and qualitative aspects of uncertain information, as well as the decision-makers' level of satisfaction and dissatisfaction.

Results

Then, the 2TLIVq-ROF weighted average (2TLIVq-ROFWA) operator and the 2TLIVq-ROF weighted geometric (2TLIVq-ROFWJ) operator are introduced as two new aggregation operators. In addition, the multi-attribute border approximation area comparison (MABAC) method is extended to solve the MAGDM problem with 2TLIVq-ROF information.

Discussion

To demonstrate the efficacy and applicability of the suggested model, a case study of selecting the optimal breast cancer treatment is presented. The results of the computations show that the suggested MAGDM model is able to handle imprecision and subjectivity in complicated decision-making scenarios and opens new research scenarios for scholars.
Enablers and barriers to implementing an interdisciplinary experiential learning program for university students in a Canadian rehabilitation centre
Authors: Eggiman-Ketter Jordan , Derrough Benjamin , Wolfe Dalton L. , Unger Janelle
Published: June 2024

Objective

This qualitative study aims to identify a comprehensive set of enablers and barriers to implementing an interdisciplinary experiential learning program for university students at a Canadian rehabilitation centre.

Methods

A researcher conducted one-on-one semi-structured interviews with individuals from four key stakeholder groups (i.e., rehabilitation centre leadership, clinicians, university clinical coordinators, and health and rehabilitation students). Interviews and data analysis followed the Theoretical Domains Framework (TDF), which is designed to identify possible cognitive, affective, social, and environmental influences on program implementation. Interviews were transcribed verbatim, and two researchers coded data independently to identify the major themes of enablers and barriers to implementing an interdisciplinary experiential learning approach to rehabilitation care.

Results

From a total of 12 interviews, domains of the TDF were identified to represent overarching themes, which were (1) enablers (i.e., reinforcement, beliefs and consequences, optimism, professional identity, knowledge, and skills), (2) barriers (i.e., environment/resources and beliefs and capabilities), and (3) program development (i.e., goals and evaluation that was not previously a TDF domain). A list of recommendations for implementing an interdisciplinary experiential learning program was created that represented qualitative data from each stakeholder group.

Conclusion

This study provides insight into the potential enablers and barriers to developing an interdisciplinary experiential learning program for university students within rehabilitation centres. This type of program could enhance educational curriculums, student and clinical experiences, and patient outcomes. In this study, the findings inform recommendations for developing an interdisciplinary program in teaching hospitals and explore their potential impact. Future research and pilot studies must be conducted to fully understand the effects of implementing an interdisciplinary experiential learning approach within rehabilitation centres.
Relationship between vertical jump performance and playing time and efficiency in professional male basketball players
Authors: Cabarkapa Dimitrije , Cabarkapa Damjana V. , Aleksic Jelena , Scott Angeleau A. , Fry Andrew C.
Published: June 2024

With innovative force plate technology being available to many sports organizations worldwide that allow for time-efficient in-depth neuromuscular performance assessment, the purpose of the present study was to examine the relationship between some of the most commonly analyzed countermovement vertical jump (CVJ) force-time metrics and basketball playing time and efficiency. Twenty-four professional male basketball players volunteered to participate in the present study. The CVJ testing procedures were conducted within the first quarter of the competitive season span. Following a standardized warm-up protocol, each athlete stepped on a dual uni-axial force plate system sampling at 1,000 Hz and performed three maximum-effort CVJs with no arm swing. To minimize the possible influence of fatigue, each jump trial was separated by a 10–15 s rest interval and the average value across three jumps was used for performance analysis purposes. Basketball playing efficiency and average playing time were obtained at the end of the regular season competitive period from the coaching staff records and the official team records. Pearson product-moment correlation coefficients (r) were used to examine the strength of the relationships between force-time metrics and basketball playing time and efficiency, separately for each dependent variable (p < 0.05). A significant positive association was observed between playing efficiency and eccentric mean force and eccentric mean and peak power (r = 0.406–0.552). Similarly, an increase in eccentric mean power was positively correlated with the number of minutes played during the competitive season (r = 0.464). Moreover, the aforementioned relationship remained present even when eccentric mean power was expressed relative to the player's body mass (r = 0.406). Thus, the findings of the present study indicate that, at the professional level of men's basketball competition, CVJ eccentric strength and power have a positive impact on both playing time and efficiency.
Carbon footprint research and mitigation strategies for rice-cropping systems in China: a review
Authors: Ji Yalan , Zhou Yongjin , Li Zhong , Feng Kaixuan , Sun Xueyuan , Xu Youzun , Wu Wenge , Zou Huawen
Published: June 2024

Reducing greenhouse gas (GHG) emissions and quantifying the carbon footprint (CF) of rice-cropping systems in the context of food security is an important step toward the sustainability of rice production. Exploring the key factors affecting emission reduction in rice production is important to properly evaluate the impact of China’s rice-cropping systems on global climate change. This review provides an overview of the direct and indirect CF in rice-cropping systems; analyzes the influencing factors in terms of rice-based cropping systems, varieties and agronomic practices; and proposes mitigation strategies. Different studies have shown that direct and indirect GHG emissions in rice-based cropping systems accounted for 38.3 to 95.5% and 4.5 to 61.7% of total emissions, respectively. And the CFs of ratoon rice, rice–wheat, rice–maize, rice–rapeseed, and rice–fish systems ranged from 316,9 kg CO2-eq kg−1 to 258,47 kg CO2-eq kg−1, which are lower than that in a double-rice planting system. High-yielding rice, drought-resistant rice, and other hybrids can mitigate GHG emissions from paddy fields by 3.7 ~ 21.5%. Furthermore, organic matter, water, tillage, straw incorporation, conservation tillage, reduced nitrogen fertilizer use, and added biochar and methane inhibitors could reduce emissions. Therefore, through reasonable agronomic measures, variety selection and optimal layout of rice-based rotation systems, the carbon neutral rate of rice production can be improved to help the national carbon sequestration and emission reduction target.
Clinical and surgical outcome in patients with cervical spondylodiscitis—a single-center retrospective case series of 24 patients
Authors: Motov S. , Stemmer B. , Krauss P. , Bonk M. N. , Wolfert C. , Steininger K. , Shiban E. , Sommer B.
Published: June 2024

Objective

Cervical spondylodiscitis is a rare pathology, with an incidence of 0.5–2.5 per 100,000 population, posing significant potential risks. This type of infection can lead to neurological impairment in up to 29% of patients. Radical surgical debridement of the infected segment, fusion, and an intravenous antibiotic regimen remains the gold standard in most spine centers. This study aimed to analyze the surgical outcome in a tertiary spine center based on disease severity.

Methods

In this study, we retrospectively included all patients diagnosed with cervical spondylodiscitis and treated at the University Hospital Augsburg between January 2017 and May 2022. We collected and analyzed baseline parameters on clinical presentation with symptoms, laboratory parameters, radiological appearance, and surgical parameters such as type of approach and implant, as well as neurological and radiological outcomes. Descriptive statistics were performed using SPSS, and relevant correlations were examined using the t-test for independent samples and the chi-square test.

Results

Twenty-four patients (9%) with cervical spondylodiscitis were identified. Twenty-two (92%) surgically treated patients were subdivided into the complicated discitis group (n = 14, 64%) and the uncomplicated discitis group (n = 8, 36%). Seventeen patients (71%) presented with sepsis on admission, 17 patients (71%) were diagnosed with epidural abscess on primary imaging, and 5 patients (21%) had more than one discitis lesion at a distant spinal segment. The presence of epidural abscess was significantly associated with systemic sepsis (OR = 6.2; p = 0.03) and myelopathy symptoms (OR = 14.4; p = 0.00). The most frequently detected specimen was a multisensitive Staphylococcus aureus (10 patients, 42%). Six patients (25%) died after a median of 20 days despite antibiogram-accurate therapy, five of whom were diagnosed with a complicated type of discitis. The follow-up data of 15 patients (63%) revealed permanent neurological damage in 9 patients (38%). Notably, the surgical approach was a significant factor for revision surgery (p = 0.008), as three out of five (60%) ventrodorsal cases with complicated discitis were revised.

Conclusion

Cervical spondylodiscitis represents a severe infectious disease that is often associated with permanent neurological damage or a fatal outcome, despite adequate surgical and antibiotic treatments. Complicated types of discitis may require a more challenging surgical and clinical course.
Spatiotemporal pattern and suitable areas analysis of equine influenza in global scale (2005–2022)
Authors: Ding Jiafeng , Wang Yu , Liang Jinjiao , He Zhenhuan , Zhai Changhong , He Yinghao , Xu Jiayin , Lei Lei , Mu Jing , Zheng Min , Liu Boyang , Shi Mingxian
Published: June 2024

Equine influenza (EI) is a severe infectious disease that causes huge economic losses to the horse industry. Spatial epidemiology technology can explore the spatiotemporal distribution characteristics and occurrence risks of infectious diseases, it has played an important role in the prevention and control of major infectious diseases in humans and animals. For the first time, this study conducted a systematic analysis of the spatiotemporal distribution of EI using SaTScan software and investigated the important environmental variables and suitable areas for EI occurrence using the Maxent model. A total of 517 occurrences of EI from 2005 to 2022 were evaluated, and 14 significant spatiotemporal clusters were identified. Furthermore, a Maxent model was successfully established with high prediction accuracy (AUC = 0.920 ± 0.008). The results indicated that annual average ultraviolet radiation, horse density, and precipitation of the coldest quarter were the three most important environmental variables affecting EI occurrence. The suitable areas for EI occurrence are widely distributed across all continents, especially in Asia (India, Mongolia, and China) and the Americas (Brazil, Uruguay, USA, and Mexico). In the future, these suitable areas will expand and move eastward. The largest expansion is predicted under SSP126 scenarios, while the opposite trend will be observed under SSP585 scenarios. This study presents the spatial epidemiological characteristics of EI for the first time. The results could provide valuable scientific insights that can effectively inform prevention and control strategies in regions at risk of EI worldwide.
Collaborations and Networks Within Communities for Improved Utilization of Primary Healthcare Centers: On the Road to Universal Health Coverage
Authors: Obi Chinelo , Ojiakor Iheomimichineke , Etiaba Enyi , Onwujekwe Obinna
Published: June 2024

Objectives

Community involvement depends on the level of linked and targeted activities for health by community members. This study examines the collaborations employed within communities to ensure sustainable access and improved use of healthcare in the community.

Methods

This study was conducted in rural and urban local government areas in Anambra, Kano, and Akwa-Ibom, Nigeria. About 90 in-depth interviews and 12 focus group discussions were conducted with community stakeholders and service users. The findings were transcribed and coded via thematic analysis, guided by the Expanded Health Systems framework.

Results

Various horizontal collaborations in communities foster increased use of PHC services; promoting community health. Major horizontal collaborations in these communities were community-led, primary health facility-led, and Individual-led collaborations. Their actions revolved around advocacy, building and renovating PHC centers, equipping facilities, and sensitization to educate community members on the need to utilize services at PHC centers.

Conclusion

Strategic involvements and collaborations of local actors within communities give rise to improvements in the utilization of primary healthcare centres, reportedly resulting in improved access to PHC healthcare services for community members.
Competitive Analysis of Algorithms for an Online Distribution Problem
Authors: Barba Alessandro , Bertazzi Luca , Golden Bruce L.
Published: June 2024

We study an online distribution problem in which a producer has to send a load from an origin to a destination. At each time period before the deadline, they ask for transportation price quotes and have to decide to either accept or not accept the minimum offered price. If this price is not accepted, they have to pay a penalty cost, which may be the cost to ask for new quotes, the penalty cost for a late delivery, or the inventory cost to store the load for a certain duration. The aim is to minimize the sum of the transportation and the penalty costs. This problem has interesting real-world applications, given that transportation quotes can be obtained from professional websites nowadays. We show that the classical online algorithm used to solve the well-known Secretary problem is not able to provide, on average, effective solutions to our problem, given the trade-off between the transportation and the penalty costs. Therefore, we design two classes of online algorithms. The first class is based on a given time of acceptance, while the second is based on a given threshold price. We formally prove the competitive ratio of each algorithm, i.e., the worst-case performance of the online algorithm with respect to the optimal solution of the offline problem, in which all transportation prices are known at the beginning, rather than being revealed over time. The computational results show the algorithms’ performance on average and in the worst-case scenario when the transportation prices are generated on the basis of given probability distributions.
Prediction of Time Domain Vibro-Acoustic Response of Conical Shells Using Jacobi–Ritz Boundary Element Method
Authors: Gao Cong , Zheng Jiajun , Pang Fuzhen , Xu Jiawei , Li Haichao , Yan Jibing
Published: June 2024

Considering the lack of studies on the transient vibro-acoustic properties of conical shell structures, a Jacobi–Ritz boundary element method for forced vibro-acoustic behaviors of structure is proposed based on the Newmark-β integral method and the Kirchhoff time domain boundary integral equation. Based on the idea of the differential element method and the first-order shear deformation theory (FSDT), the vibro-acoustic model of conical shells is established. The axial and circumferential displacement tolerance functions are expressed using Jacobi polynomials and the Fourier series. The time domain response of the forced vibration of conical shells is calculated based on the Rayleigh–Ritz method and Newmark-β integral method. On this basis, the time domain response of radiated noise is solved based on the Kirchhoff integral equation, and the acoustic radiation characteristics of conical shells from forced vibration are analyzed. Compared with the coupled FEM/BEM method, the numerical results demonstrate the high accuracy and great reliability of this method. Furthermore, the semi-vertex angle, load characteristics, and boundary conditions related to the vibro-acoustic response of conical shells are examined.
Observer-Based Fault-Tolerant Control for Uncertain Robot Manipulators without Velocity Measurements
Authors: Tran Xuan-Toa , Nguyen Van-Cuong , Le Phu-Nguyen , Kang Hee-Jun
Published: June 2024

In recent years, robot manipulator arms have become increasingly prevalent and are playing pivotal roles across various industries. Their ability to replace human labor in arduous and hazardous tasks has positioned them as indispensable assets. Consequently, there has been a surge in research efforts aimed at enhancing their operational performance. The imperative to improve their efficiency and effectiveness has garnered significant attention within the research community. In this study, a novel fault-tolerant control (FTC) scheme for robot manipulators to handle the effects of the unknown input is proposed to aid robots in achieving good tracking performance. In the first step, an extended state observer (ESO) is constructed to approximate both velocities and the unknown input in the robot system. The observer offers estimation information with good accuracy and quick convergence. The estimated signals are then combined with computed torque control (CTC), which is a useful control technique for trajectory tracking of robot manipulator systems, to construct an active FTC to decrease the influences of the unknown input. The proposed algorithm does not require velocity measurement in the design process. In addition, with a novel design approach, the combination of controller and observer provides a novel control signal that delivers higher tracking performance compared to the traditional design approach. The global and asymptotic stability of the suggested technique is proved through the Lyapunov theory. Finally, simulations are implemented on a 2-degree-of-freedom (DOF) robot manipulator to validate the efficiency of the proposed controller–observer method.
How to Evaluate the Effectiveness of Performance Management Systems? An Overview of the Literature and a Proposed Integrative Model
Authors: de Araújo Mariana Lopes , Caldas Lucas Soares , Barreto Bruna Stamm , Menezes Pedro Paulo Murce , Silvério Júlia Cássia dos Santos , Rodrigues Laís Campos , Serrano André Luiz Marques , Neumann Clóvis , Mendes Nara
Published: June 2024

The purpose of this study is to propose an integrative model for evaluating the effectiveness of performance management system (PMS). This model aims to systematize the dimensions and criteria used in the literature and provide clarity in terms of evaluation possibilities. A comprehensive review of the literature was conducted to identify the dimensions, criteria, and causal relationships used in evaluating PMS effectiveness. A sample of 57 articles was analyzed using content analysis. The study established dimensions and criteria that have been neglected in the literature. The review resulted in the proposal of an integrative model for evaluating PMS effectiveness, which incorporates individual and organizational dimensions and criteria identified in the literature. It sheds light on recurrently adopted dimensions, particularly those related to individual-level phenomena, and seeks to clarify current conceptual ambiguities. This study’s originality lies in its integrative approach, which diverges from the prevailing tendencies in the field. This study provides clarity regarding the conceptual confusion surrounding ambiguous concepts and generically applied measures that hinder the drawing of certain conclusions about the effectiveness of PMS.
Role, Values, Person and Context: A Story of ‘Bent’repreneurship
Authors: Arend Richard J.
Published: June 2024

We prove a fundamental attribution error connecting rule-breaking behavior to entrepreneurs. We do so in the research context of the US, where we recently sampled from medium-sized venture entrepreneurs and their corporate executive peers (as an applicable reference point). We chose the US not only for its high entrepreneurial activity, but also because of the not uncommon relationship between business leaders and religion. By including various measures of religiosity in the study, we could control for factors that would likely influence rule-breaking, which standard models like the fraud triangle do not explicitly consider. In fact, we add contingency theory ideas to the fraud triangle to determine whether it is the decision conditions that determine rule-breaking rather than the role of the person (i.e., as an entrepreneur). We find that once demographic, religious, firm and industry contingencies are controlled for, any statistically significant influence of being an entrepreneur (relative to being a corporate executive with similar opportunity, motivation, capability and rationalization) disappears when it comes to self-admitted value-bending behaviors at work. Our contribution consists of a novel analysis, results and discussion of the ‘bent’repreneur—adding to conversations on the under-researched nexus of entrepreneurship with religiosity and ethical decision-making.
Operational Angular Track Reconstruction in Space Surveillance Radars through an Adaptive Beamforming Approach
Authors: Montaruli Marco Felice , De Luca Maria Alessandra , Massari Mauro , Bianchi Germano , Magro Alessio
Published: June 2024

In the last few years, many space surveillance initiatives have started to consider the problem represented by resident space object overpopulation. In particular, the European Space Surveillance and Tracking (EUSST) consortium is in charge of providing services like collision avoidance, fragmentation analysis, and re-entry, which rely on measurements obtained through ground-based sensors. BIRALES is an Italian survey radar belonging to the EUSST framework and is capable of providing measurements including Doppler shift, slant range, and angular profile. In recent years, the Music Approach for Track Estimate and Refinement (MATER) algorithm has been developed to retrieve angular tracks through an adaptive beamforming technique, guaranteeing the generation of more accurate and robust measurements with respect to the previous static beamforming approach. This work presents the design of a new data processing chain to be used by BIRALES to compute the angular track. The signal acquired by the BIRALES receiver array is down-converted and the receiver bandwidth is split into multiple channels, in order to maximize the signal-to-noise ratio of the measurements. Then, the signal passes through a detection block, where an isolation procedure creates, for each epoch, signal correlation matrices (CMs) related to the channels involved in the detection and then processes them to isolate the data stream related to a single detected source. Consequently, for each epoch and for each detected source, just the CM featuring the largest signal contribution is kept, allowing deriving the Doppler shift measurement from the channel illumination sequence. The MATER algorithm is applied to each CM stream, first estimating the signal directions of arrival, then grouping them in the observation time window, and eventually returning the target angular track. Ambiguous estimates may be present due to the configuration of the receiver array, which cause spatial aliasing phenomena. This problem can be addressed by either exploiting transit prediction (in the case of cataloged objects), or by applying tailored criteria (for uncatalogued objects). The performance of the new architecture was assessed in real operational scenarios, demonstrating the enhancement represented by the implementation of the channelization strategy, as well as the angular measurement accuracy returned by MATER, in both nominal and off-nominal scenarios.
Predicted Distribution of Locoweed Oxytropis glabra in China under Climate Change
Authors: Huang Ruijie , Wu Chenchen , Lu Hao , Wu Xuemei , Zhao Baoyu
Published: June 2024

The research on the significant toxic weed Oxytropis glabra, which adversely affects the grazing industry and the ecological integrity of natural grasslands in the arid and semi-arid regions of northern China, aims to delineate its potential distribution amidst changing climate conditions. This analysis involves both current conditions (1970–2000) and future projections (2050s and 2070s) under four climate scenarios using an R-optimized MaxEnt model. The results indicate that the distribution of O. glabra was primarily influenced by the temperature of the coldest quarter (bio11, ranging from −12.04 to −0.07 °C), precipitation of the coldest quarter (bio19, 0 to 15.17 mm), and precipitation of the warmest quarter (bio18, 0 to 269.50 mm). Currently, the weed predominantly occupies parts of Xinjiang, Inner Mongolia, Gansu, Qinghai, Ningxia, and Tibet. Projections indicate that, across four future climate scenarios, the area of suitable habitats for O. glabra is expected to expand and shift toward higher latitudes and elevations. The research provides valuable information and a theoretical foundation for the management of O. glabra, alongside advancing grassland ecological research and grazing practices.
Smooth Brome (Bromus inermis L.)—A Versatile Grass: A Review
Authors: Mackiewicz-Walec Ewa , Żarczyński Piotr Jarosław , Krzebietke Sławomir Józef , Żarczyńska Katarzyna
Published: June 2024

Smooth brome (Bromus inermis L.) is a species of perennial grass with growing economic importance. Initially, this species had attracted interest as a source of animal feed. Over the years, the interest in smooth brome increased significantly due to the growing knowledge about its advantages. The aim of this study was to explore the contemporary significance of smooth brome. This plant is characterized by a high tolerance to many negative environmental factors, such as periodic droughts, low temperatures and salinity, which contributes to its constant presence in the landscape of many countries. The moderate soil requirements of smooth brome, combined with the effective use of soil resources and rational nutrient utilization, contribute to high biomass yields that can reach 13 t/ha DM. The usefulness of this grass species in various management systems has been recognized in numerous research studies. Smooth brome can generate benefits in many branches of the economy. This efficient energy plant is used in paper production, and it is also recommended for the protection of fallow land or the reclamation of degraded land. Smooth brome prevents erosion, enhances biodiversity, and provides shelter for many animal species. This species fits well into the current assumptions of agricultural policy and increasingly demanding environmental standards. According to the latest guidelines, modern agriculture should pursue economic and environmental goals simultaneously. In this context, smooth brome constitutes a valuable link in sustainable development. Due to its numerous advantages, smooth brome not only provides high-quality feed and biomass but also effectively sequesters CO2, improves soil fertility and enhances biodiversity, which makes it an important element of agriculture and environmental protection.
An Improved YOLOv7-Tiny Method for the Segmentation of Images of Vegetable Fields
Authors: Wang Shouwei , Yao Lijian , Xu Lijun , Hu Dong , Zhou Jiawei , Chen Yexin
Published: June 2024

In response to the limitations of existing methods in differentiating between vegetables and all types of weeds in farmlands, a new image segmentation method is proposed based on the improved YOLOv7-tiny. Building on the original YOLOv7-tiny framework, we replace the CIoU loss function with the WIoU loss function, substitute the Leaky ReLU loss function with the SiLU activation function, introduce the SimAM attention mechanism in the neck network, and integrate the PConv convolution module into the backbone network. The improved YOLOv7-tiny is used for vegetable target detection, while the ExG index, in combination with the OTSU method, is utilized to obtain a foreground image that includes both vegetables and weeds. By integrating the vegetable detection results with the foreground image, a vegetable distribution map is generated. Subsequently, by excluding the vegetable targets from the foreground image using the vegetable distribution map, a single weed target is obtained, thereby achieving accurate segmentation between vegetables and weeds. The experimental results show that the improved YOLOv7-tiny achieves an average precision of 96.5% for vegetable detection, with a frame rate of 89.3 fps, Params of 8.2 M, and FLOPs of 10.9 G, surpassing the original YOLOv7-tiny in both detection accuracy and speed. The image segmentation algorithm achieves a mIoU of 84.8% and an mPA of 97.8%. This method can effectively segment vegetables and a variety of weeds, reduce the complexity of segmentation with good feasibility, and provide a reference for the development of intelligent plant protection robots.
Factors Affecting the Waste of Selected Agricultural Products with an Emphasis on the Marketing Mix
Authors: Mahmoudi Mehdi , Mohammadi Hosein , Saghaian Sayed , Karbasi Alireza
Published: June 2024

Unusual levels of agricultural product waste are becoming one of the issues and dangers that human societies face in their efforts to achieve food security. Therefore, reducing agricultural product waste is one of the main strategies for the optimal use of production resources and support food security. In this study, a multilevel Bayesian technique was used to examine the characteristics of customers and the effects of marketing mix on the waste of selected agricultural products—a subgroup of fruits and vegetables in Mashhad, Iran. Based on this, 368 consumers (at the first level), 53 fruit and vegetable markets (at the second level), and 3 main supply centers of fruit and vegetables in the city (at the third level) were evaluated using the Bayesian multilevel model. The results showed that approximately 56% of food waste variance was caused by differences between consumers, 29% is due to the differences between fruit and vegetable markets, and almost 14% is due to the differences between the main supply centers of Mashhad. Also, the effects of the marketing mix showed that the place of distribution of agricultural products always has an increasing effect on the waste of agricultural products. Moreover, increasing the price of agricultural products reduces waste by consumers and keeps the consumer away from unnecessary purchases. The product factor also has an increasing effect on the waste of agricultural products, and consumers are encouraged to consume more and create more waste. A good way to reduce agricultural product waste is to use solutions that slow down the spoilage process and extend the shelf life of fruit and vegetables. Using an appropriate marketing mix and considering the characteristics of consumers can also control the waste of agricultural products.
Estimation of Energy Balance throughout the Growing–Finishing Stage of Pigs in an Experimental Pig Barn
Authors: Deb Nibas Chandra , Basak Jayanta Kumar , Paudel Bhola , Karki Sijan , Kang Dae-yeong , Jeon Seong-woo , Seo Eun-wan , Kook Junghoo , Kang Myeong-yong , Kim Hyeon-tae
Published: June 2024

Monitoring the energy inputs and outputs in pig production systems is crucial for identifying potential imbalances and promoting energy efficiency. Therefore, the objective of this study was to measure the energy input, output, and losses during the growing–finishing phase of pigs from 1 September to 1 December 2023. A Livestock Environment Management System (LEMS) was used to measure the temperature, humidity, airflow, and water consumption levels inside the barn, and a load cell was used to measure the body weight of pigs. Furthermore, a bomb calorimetric test was conducted to measure the energy content of pigs’ manure. While calculating energy balance in the experimental barn, it was found that energy from feed and water contributed approximately 81% of the total input energy, while the remaining 19% of energy came from electrical energy. Regarding output energy, manure, and body weight accounted for about 69%, while around 31% was lost due to pig activities, maintaining barn temperature and airflow, and illuminating the barn. In conclusion, this study suggested methods to calculate energy balance in pig barns, offering valuable insights for pig farmers to enhance their understanding of input and output energy in pig production.
Synergistic Insecticidal Effect of Photorhabdus luminescens and Bacillus thuringiensis against Fall Armyworm (Spodoptera frugiperda)
Authors: Chang Ting-Yu , Hsieh Chienyan , Wu Li-Hsin
Published: June 2024

Combining microbial products with different mechanisms of action can produce synergistic insecticidal effects and slow down the development of resistance. This study evaluated the insecticidal activity of mixtures containing the commercial Photorhabdus luminescens (Pl) strain ATCC 29,999, the local isolate Pl 2103-UV, and the commercial Bacillus thuringiensis subsp. kurstaki (Bt) ABTS-351 against Spodoptera frugiperda. As the proportion of Bt increased in the mixtures, insecticidal activity increased, with the synergistic ratios reaching 1.98 for ATCC 29,999 and 5.29 for 2103-UV at a1:5 Pl:Bt ratio, representing approximately twofold and fivefold reductions, respectively, in the Bt dosage required for mortality. Hemolymph analysis revealed the highest Pl bacterial loads in the 1:5 treatments within the S. frugiperda hemocoel. Histopathology also showed exacerbated midgut vacuolation in the 1:5 ATCC 29,999:Bt treatment. Whole-genome analysis showed that 2103-UV produced more porins, potentially contributing to its higher insecticidal activity. This study demonstrated that Bt assists the invasion of Pl into the hemocoel and enhances synergistic insecticidal efficiency. The findings provide a reference for integrating Pl with other microbial products to sustainably manage significant and severe lepidopteran pests.
Vortex Cleaning Device for Rice Harvester: Design and Bench Test
Authors: Liu Weijian , Zeng Shan , Chen Xuegeng
Published: June 2024

To solve the problem of increased grain impurity rate and grain loss rate caused by clogging of sieve holes during the cleaning process of ratooning rice, a spiral step cleaning device was designed, which disturbed the flow field at the sieve holes through vortex in the slot and disrupted the force balance of the blockages at the sieve holes. The device mainly includes a cleaning separation core and a cleaning separation core shell. Firstly, the main parameters of the cleaning separation core were determined, and the critical shear airflow velocity was obtained through theoretical analysis. Through energy loss analysis, the fan wind speed was determined to be 11.5 m/s. Secondly, the CFD-DEM coupling method was used to analyze the flow patterns inside the slot and the movement patterns of blockages on the sieve surface, confirming the effectiveness of vortex guided blockage removal. Finally, a prototype was designed and built for testing, and the results showed that when the wind speed of the fan was 11.5 m/s, the grain impurity rate was 1.35%, the grain loss rate was 2.13%, and the average sieve blockage rate was ≤0.1%. All indicators were better than traditional cleaning devices and could meet the cleaning requirements. During the continuous operation of the spiral step cleaning device, performance indicators such as sieve hole blockage rate remained basically unchanged.
Impact of Non-Agricultural Employment on Food Security in China’s Old Revolutionary Base Areas
Authors: Wen Huwei , Zeng Zisong
Published: June 2024

With the growing trend of arable land abandonment, the potential threat to the security of the food supply has sparked public concern. In order to examine the impact of non-agricultural employment on food security, this study builds linear regression models for research based on panel data from counties in China’s old revolutionary base areas. The empirical results show that, although the impact of non-agricultural employment on total grain production is not significant, it has a significant negative impact on both area and productivity, which indicates that non-agricultural employment poses a challenge to food security. In addition, the study examines the potential benefits of non-farm employment on two aspects of food security, including intensive management and the increase of new business entities. Non-farm employment can also significantly promote intensive management, thereby reducing the food-security challenges brought by non-farm employment, while the benefits of new management entities are insignificant. These findings contribute to the optimization of economic policies related to agricultural development, including exploring land property rights reform systems to promote land transfer, strengthening labor quality improvement in the agricultural sector, and formulating supporting policies to stabilize non-agricultural employment in accordance with local conditions.