bluuebunny/crossref_metadata_2025 huggingface dataset:
Computed Tomography Registration-Derived Regional Ventilation Indices Compared to Global Lung Function Parameters in Patients With COPD
Authors: Cohen Julien , Shekarnabi Mehdi , Destors Marie , Tamisier Renaud , Bouzon Sandrine , Orkisz Maciej , Ferretti Gilbert R. , Pépin Jean-Louis , Bayat Sam
Published: May 2022

CT registration-derived indices provide data on regional lung functional changes in COPD. However, because unlike spirometry which involves dynamic maximal breathing maneuvers, CT-based functional parameters are assessed between two static breath-holds, it is not clear how regional and global lung function parameters relate to each other. We assessed the relationship between CT-density change (dHU), specific volume change (dsV), and regional lung tissue deformation (J) with global spirometric and plethysmographic parameters, gas exchange, exercise capacity, dyspnoea, and disease stage in a prospective cohort study in 102 COPD patients. There were positive correlations of dHU, dsV, and J with spirometric variables, DLCO and gas exchange, 6-min walking distance, and negative correlations with plethysmographic lung volumes and indices of trapping and lung distension as well as GOLD stage. Stepwise regression identified FEV1/FVC (standardized β = 0.429, p < 0.0001), RV/TLC (β = −0.37, p < 0.0001), and BMI (β = 0.27, p=<0.001) as the strongest predictors of CT intensity-based metrics dHU, with similar findings for dsV, while FEV1/FVC (β = 0.32, p=<0.001) and RV/TLC (β = −0.48, p=<0.0001) were identified as those for J. These data suggest that regional lung function is related to two major pathophysiological processes involved in global lung function deterioration in COPD: chronic airflow obstruction and gas trapping, with an additional contribution of nutritional status, which in turn determines respiratory muscle strength. Our data confirm previous findings in the literature, suggesting the potential of CT image-based regional lung function metrics as the biomarkers of disease severity and provide mechanistic insight into the interpretation of regional lung function indices in patients with COPD.
Nanoemulsion of Sideroxylon obtusifolium as an Alternative to Combat Schistosomiasis
Authors: Rangel Leonardo da Silva , Passos de Oliveira Adriana , Falcão Deborah Quintanilha , Santos Marcelo Guerra , Von Ranke Natalia Lindimar , Rodrigues Carlos Rangel , Santos José Augusto Albuquerque dos , Rocha Leandro , Faria Robson Xavier
Published: May 2022

Schistosomiasis is caused by the intestinal parasite Schistosoma mansoni. Individuals are affected by schistosomiasis when they are exposed to aquatic environments contaminated with Schistosoma cercariae that emerged from the infected intermediate host mollusk of the genus Biomphalaria. The WHO recommends using molluscicidal products to reduce the snail population and disease transmission. The WHO encourages the search for alternative substances in schistosomiasis control. Natural products are seen as a promising alternative because they are abundant in countries where schistosomiasis is endemic and have many different substances in their extracts, impairing cases of resistance. Therefore, the nanoemulsion effect of a butanol-soluble fraction of Sideroxylon obtusifolium leaves was evaluated against three study points in the biological cycle of the disease, that is, adults and young Biomphalaria glabrata, spawning by the host mollusk, and infectious larvae of the parasite. Extract-SOB (butanol fraction) and nano-SOB (nanoemulsion) demonstrated promising activity in adult B. glabrata population control with an LC50 of 125.4 mg/L, an LC90 of 178.1 mg/L, an LC50 of 75.2 mg/L, and an LC90 of 97 mg/L. Nano-SOB presented greater potency against young B. glabrata, with an LC90 of 72.1 mg/L and an LC50 of 58.3 mg/L. Still, relevant activity against S. mansoni cercariae was eliminated in 4 h (LC90: 34.6 mg/L). Nano-SOB reduced viable spawning by approximately 30% at 178.1 and 97 mg/L. Referring to most substances in this extract, quercetin-3-rhamnosyl-(1-6)-galactoside and hyperoside may cause low environmental toxicity and human toxicity according to in silico analysis. Thus, nano-SOB is a promising agent to combat B. glabrata population growth and schistosomiasis transmission.
Effects of Different Chemicals on Sexual Regulation in Persimmon (Diospyros kaki Thunb.) Flowers
Authors: Wang Liyuan , Li Huawei , Suo Yujing , Han Weijuan , Diao Songfeng , Mai Yini , Wang Yiru , Yuan Jiaying , Ye Lingshuai , Pu Tingting , Zhang Qi , Sun Peng , Li Fangdong , Fu Jianmin
Published: May 2022

Research on crop sexuality is important for establishing systems for germplasm innovation and cultivating improved varieties. In this study, androecious persimmon trees were treated with various concentrations of ethrel (100, 500, and 1,000 mg/L) and zeatin (1, 5, and 10 mg/L) to investigate the morphological, physiological, and molecular characteristics of persimmon. Ethrel at 1,000 mg/L and zeatin at 10 mg/L both significantly reduced the stamen length and pollen grain diameter in androecious trees. Ethrel treatment also led to reduced stamen development with degenerated cellular contents; zeatin treatment promoted the development of arrested pistils via maintaining relatively normal mitochondrial morphology. Both treatments altered carbohydrate, amino acid, and endogenous phytohormone contents, as well as genes associated with hormone production and floral organ development. Thereafter, we explored the combined effects of four chemicals, including ethrel and zeatin, as well as zebularine and 5-azacytidine, both of which are DNA methylation inhibitors, on androecious persimmon flower development. Morphological comparisons showed that stamen length, pollen viability, and pollen grain diameter were significantly inhibited after combined treatment. Large numbers of genes involving in carbohydrate metabolic, mitogen-activated protein kinase (MAPK) signaling, and ribosome pathways, and metabolites including uridine monophosphate (UMP) and cyclamic acid were identified in response to the treatment, indicating complex regulatory mechanisms. An association analysis of transcriptomic and metabolomic data indicated that ribosomal genes have distinct effects on UMP and cyclamic acid metabolites, explaining how male floral buds of androecious persimmon trees respond to these exogenous chemicals. These findings extend the knowledge concerning sexual differentiation in persimmon; they also provide a theoretical basis for molecular breeding, high-yield cultivation, and quality improvement in persimmon.
Analysis of the Transcriptional Dynamics of Regulatory Genes During Peanut Pod Development Caused by Darkness and Mechanical Stress
Authors: Cui Yuanyuan , Bian Jianxin , Lv Yuying , Li Jihua , Deng Xing Wang , Liu Xiaoqin
Published: May 2022

Peanut is an oil crop with important economic value that is widely cultivated around the world. It blooms on the ground but bears fruit underground. When the peg penetrates the ground, it enters a dark environment, is subjected to mechanical stress from the soil, and develops into a normal pod. When a newly developed pod emerges from the soil, it turns green and stops growing. It has been reported that both darkness and mechanical stress are necessary for normal pod development. In this study, we investigated changes in gene expression during the reverse process of peg penetration: developmental arrest caused by pod (Pattee 3 pods) excavation. Bagging the aerial pods was used to simulate loss of mechanical pressure, while direct exposure of the aerial pods was used to simulate loss of both mechanical pressure and darkness. After the loss of mechanical stress and darkness, the DEGs were significantly enriched in photosynthesis, photosynthesis–antenna proteins, plant–pathogen interaction, DNA replication, and circadian rhythm pathways. The DNA replication pathway was enriched by down-regulated genes, and the other four pathways were enriched by upregulated genes. Upregulated genes were also significantly enriched in protein ubiquitination and calmodulin-related genes, highlighting the important role of ubiquitination and calcium signaling in pod development. Further analysis of DEGs showed that phytochrome A (Phy A), auxin response factor 9 (IAA9), and mechanosensitive ion channel protein played important roles in geocarpy. The expression of these two genes increased in subterranean pods but decreased in aerial pods. Based on a large number of chloroplast-related genes, calmodulin, kinases, and ubiquitin-related proteins identified in this study, we propose two possible signal transduction pathways involved in peanut geocarpy, namely, one begins in chloroplasts and signals down through phosphorylation, and the other begins during abiotic stress and signals down through calcium signaling, phosphorylation, and ubiquitination. Our study provides valuable information about putative regulatory genes for peanut pod development and contributes to a better understanding of the biological phenomenon of geocarpy.
The Role of Assistive Technology in Advancing Sustainable Development Goals
Authors: Shi Guanming , Ke Shiyao , Banozic Adriana
Published: May 2022

Assistive technologies (AT) have presented significant equalizing opportunities for many to access opportunities and meaningfully participate in society. Enhancing the impact of AT in enabling participation requires an individualized and holistic understanding of the value and meaning of AT for the individual in their unique context. In Southeast Asia (SEA), children with disabilities account for a significant proportion of the population. The SEA region has one of the highest prevalence of moderate disability and severe disability in the world. AT can play a significant role in achieving Sustainable Development Goals (SDGs) and enabling all children with disabilities to lead healthy, productive, independent and dignified lives. In this perspective article, we discuss case studies of how AT can advance SDGs in SEA, focusing on the role of AT in providing quality education (SDG4), improving health and wellbeing (SDG3), and reducing inequalities (SDG10) for children with disabilities in SEA. We also explore how access to AT can be improved in SEA countries by examining different government initiatives and their gaps.
Do Maternal Self-Criticism and Symptoms of Postpartum Depression and Anxiety Mediate the Effect of History of Depression and Anxiety Symptoms on Mother-Infant Bonding? Parallel–Serial Mediation Models
Authors: Beato Ana Filipa , Albuquerque Sara , Kömürcü Akik Burcu , Costa Leonor Pereira da , Salvador Ágata
Published: May 2022

Introduction

History of depression symptoms, including before and during pregnancy, has been identified as an important risk factor for postpartum depression (PPD) symptoms. This condition has also been associated with diverse implications, namely, on the quality of mother–infant bonding. Moreover, the role of self-criticism on PPD has been recently found in several studies. However, the link between these factors has not been explored yet. Furthermore, anxiety symptoms in postpartum has been less studied.

Methods

This study analyzed whether the history of depression symptoms predicted mother–infant bonding, via self-criticism and PPD symptoms. The same model was repeated with a history of anxiety and postpartum anxiety symptoms. A total of 550 mothers of infants <24 months old participated in this cross-sectional study and answered an online survey.

Results

Through a parallel–serial mediation model, the results show that in a first step, self-criticism dimensions of inadequate-self, hated-self, and reassuring-self, and in a second step, PPD symptoms, mediate the relationship between the history of depression symptoms and mother–infant bonding. However, the relationship between the history of anxiety symptoms and bonding is not mediated by all the considered chain of mediators, being only mediated by one of the self-criticism dimensions, inadequate self.

Conclusions

The current study confirmed the association of history of both depression and anxiety with mother–infant bonding. While in the case of history of anxiety symptoms, the relation was only mediated by inadequate self-dimension of self-criticism, in the case of history of depression symptoms, the relation was mediated by self-criticism and postpartum depressive symptoms. The buffering effect of reassuring-self on bonding and negative affect was also evidenced. Psychological and preventive interventions should address this evidence to target interventions for mother–infant bonding problems in accordance with previous and actual current maternal risk factors.
What Is a White Epistemology in Psychological Science? A Critical Race-Theoretical Analysis
Authors: Teo Thomas
Published: May 2022

Critical race theoryguides the analysis of thenatureof awhite epistemologyin psychological science, the consequences for the study of race, and how scientific racism has been possible in the pursuit of knowledge. The article argues that race has not only been misused in the politics of psychology but misappropriated because of thelogicof psychological science. The epistemic process is divided into four components to argue that naïve empiricist approaches in psychology, centered on scientific method, prevent an intricate understanding of race. Reasons for privileging method in psychology and the consequences of awhite epistemologyare discussed, including a narrow epistemic horizon and an inability to account for the temporality and contextuality of psychological phenomena. Ignorance, failure, or unwillingness to account for epistemic complexity when studying race are identified as problems. Questions about who benefits from narrow epistemologies are answered and suggestions for a broader practice of knowledge and education are provided.
Research on the Impacts of Cognitive Style and Computational Thinking on College Students in a Visual Artificial Intelligence Course
Authors: Wang Chi-Jane , Zhong Hua-Xu , Chiu Po-Sheng , Chang Jui-Hung , Wu Pei-Hsuan
Published: May 2022

Visual programming language is a crucial part of learning programming. On this basis, it is essential to use visual programming to lower the learning threshold for students to learn about artificial intelligence (AI) to meet current demands in higher education. Therefore, a 3-h AI course with an RGB-to-HSL learning task was implemented; the results of which were used to analyze university students from two different disciplines. Valid data were collected for 65 students (55 men, 10 women) in the Science (Sci)-student group and 39 students (20 men, 19 women) in the Humanities (Hum)-student group. Independent sample t-tests were conducted to analyze the difference between cognitive styles and computational thinking. No significant differences in either cognitive style or computational thinking ability were found after the AI course, indicating that taking visual AI courses lowers the learning threshold for students and makes it possible for them to take more difficult AI courses, which in turn effectively helping them acquire AI knowledge, which is crucial for cultivating talent in the field of AI.
Hemispheric Processing of Chinese Scientific Metaphors: Evidence via Hemifield Presentation
Authors: Huang Min , Shen Lexian , Xu Shuyuan , Huang Yanhong , Huang Shaojuan , Tang Xuemei
Published: May 2022

The role of the two hemispheres in processing metaphoric language is controversial. In order to complement current debates, the current divided visual field (DVF) study introduced scientific metaphors as novel metaphors, presenting orientation mapping from the specific and familiar domains to the abstract and unfamiliar domains, to examine hemispheric asymmetry in metaphoric processing. Twenty-four Chinese native speakers from science disciplines took part in the experiment. The participants were presented with four types of Chinese word pairs: scientific metaphors, conventional metaphors, literal word pairs, and unrelated word pairs. The first word in each pair was presented centrally, and the second was presented to the left visual field (the Right Hemisphere) or the right visual field (the Left Hemisphere). Event-related potentials (ERPs) were recorded when participants read the target words and judged whether words in each pair were related. The data demonstrated that both hemispheres were involved at the initial stage of metaphor processing, but the right hemisphere took a more privileged role. The significant activation of the left hemisphere for scientific metaphoric processing supports the fine-coarse coding hypothesis. During right-visual-field presentation, the left hemisphere, responsible for the processing of closely related domains, has to integrate the loosely associated domains of scientific metaphor, which greatly increased cognitive taxes. Moreover, the data of late positive components (LPCs) revealed different hemispheric activation between scientific metaphors and conventional metaphors. Compared with literal pairs, conventional metaphors elicited significantly higher LPCs during right visual field presentation, while the scientific metaphor elicited significantly lower LPCs during left visual field presentation. These results suggest different processing mechanisms between novel metaphors and conventional metaphors and the special role of the right hemisphere in novel metaphoric processing at the later mapping stage.
Corporate Social Responsibility and Consumer Emotional Marketing in Big Data Era: A Mini Literature Review
Authors: Shao Jing , Zhang Tianzi , Wang Haohui , Tian Yuanhao
Published: May 2022

In the digital era, big data can strengthen the awareness of corporate social responsibility (CSR) and make CSR more transparent to consumers. While big data continues to deepen the business transformation of enterprises, it is also a process of constantly understanding consumption and public expectations. In this process, the cognitive structure of enterprises is constantly adjusted, no longer simply pursuing performance but constantly realizing the expectations of users and society in order to maintain performance. Through mass media, corporate media, and other platforms, CSR is easier to affect consumers’ emotions. By reviewing the theory of emotional marketing and related research, this paper focuses on the different emotional ties between CSR and consumers and their different effects on consumers. This paper further emphasizes the profound significance of emotional marketing theory for understanding CSR in the era of big data. In addition, this paper also calls for more research based on big data technology, broken down by consumer needs – more specific attention to the different impacts of CSR on different consumers.
Understanding Behavior in Phelan-McDermid Syndrome
Authors: Landlust Annemiek M. , Visser Linda , Flapper Boudien C. T. , Ruiter Selma A. J. , Zwanenburg Renée J. , van Ravenswaaij-Arts Conny M. A. , van Balkom Ingrid D. C.
Published: May 2022

Background

Phelan-McDermid syndrome (PMS) or 22q13.3 deletion syndrome is a rare genetic disorder characterized by developmental delay, hypotonia and severely delayed speech. Behavioral difficulties are often reported in PMS, although knowledge of behavioral profiles and the interpretation of reported behavior remains limited. Understanding the meaning of behavior requires considering the context as well as other domains of functioning, for example the individual's level of cognitive, social and emotional development. Combining structured direct in-person neurodevelopmental assessments with contextual assessments to enable meaningful interpretations of reported behavior on functional dimensions across multiple units of analysis, as proposed by the RDoc framework, is essential.

Methods

In this article we present a structured multidisciplinary method of assessment through direct in-person neurodevelopmental assessments and assessment of contextual factors. Our study sample includes data of 33 children with an average age of 6.2 years (range 1.1 to 15.7) with PMS, obtained through individual in-person assessments in combination with parent informed questionnaires. We assessed developmental age using the Bayley-III, adaptive behavior was assessed with the Vineland screener, social-emotional development with the ESSEON-R and behavior by using the CBCL.

Results

Our results show a great deal of variability in phenotypic presentation with regard to behavior, symptom expression and symptom severity in individuals with PMS. The data on behavior is interpreted in the context of the individual's level of cognitive, adaptive development and the (genetic) context. Behavioral data showed high levels of withdrawn behavior and attention problems. More than half of the children showed borderline or clinical symptoms related to Autism Spectrum Disorder (ASD).

Conclusions

The interpretation of the meaning of certain behavior in PMS is often based on questionnaires and descriptions without taking the specific context of development into account. Combining questionnaires with direct in-person assessments measuring different domains of functioning should be considered a more accurate method to interpret the meaning of findings in order to understand behavior in rare genetic disorders associated with developmental delay such as PMS. Direct in-person assessment provides valuable and specific information relevant to understanding individual behavior and inform treatment as well as increase knowledge of the neurodevelopmental phenotype in individuals with PMS. More specific application of the proposed frameworks on behavior in PMS is desirable in making useful interpretations.
Risk of Suicidal Behaviors and Antidepressant Exposure Among Children and Adolescents: A Meta-Analysis of Observational Studies
Authors: Li Kuan , Zhou Guibao , Xiao Yan , Gu Jiayu , Chen Qiuling , Xie Shouxia , Wu Junyan
Published: May 2022

Objectives

Although several studies have reviewed the suicidal risk of antidepressants, the conclusions remain inconsistent. We, therefore, performed a meta-analysis of observational studies to address the association between exposure to antidepressants, especially selective serotonin reuptake inhibitors (SSRIs) and the risk of suicide and suicide attempt in children and adolescents.

Methods

MEDLINE and Embase were searched from January 1990 to April 2021. Seventeen cohort and case-control studies were identified that reported suicide or suicide attempt in children and young adults (aged 5–25 years) who were exposed to any antidepressants. We extracted the estimates and corresponding 95% confidence intervals (CIs) from each publication.

Results

The results showed that antidepressant exposure significantly increased the risk of suicide and suicide attempt when compared with no antidepressant usage among children and adolescents. The pooled relative risk (RR) was 1.38 (95% CI: 1.16–1.64; I2 = 83.1%). Among the antidepressants, SSRI use was associated with an increased risk of suicide and suicide attempt, and the pooled RR was 1.28 (95% CI: 1.09–1.51; I2 = 68.8%). In subgroup analysis, the attempted suicidal risk of antidepressant and SSRI was significantly increased (RR = 1.35, 95% CI: 1.13–1.61; I2 = 86.2% for all antidepressants; and RR = 1.26, 95% CI: 1.06–1.48; I2 = 73.8% for SSRIs), while the completed suicidal risk of antidepressant and SSRI was not statistically significant (RR = 2.32, 95% CI: 0.82–6.53; I2 = 6.28% for all antidepressants; and RR = 1.88, 95% CI: 0.74–4.79; I2 = 52.0% for SSRIs). In addition, the risk of suicide and suicide attempt between SSRIs and other antidepressants was similar (RR 1.13, 95% CI: 0.87–1.46, I2 = 32.4%).

Conclusion

The main findings of this meta-analysis provide some evidence that antidepressant exposure seems to have an increased suicidal risk among children and young adults. Since untreated depression remains one of the largest risk factors for suicide and the efficacy of antidepressants is proven, clinicians should evaluate carefully their patients and be cautious with patients at risk to have treatment emergence or worsening of suicidal ideation (TESI/TWOSI) when prescribing antidepressants to children and young patients.
A Case Report of Leukocytosis During Modified Electroconvulsive Therapy of Paranoid Personality Disorder
Authors: Mu Xingyu , Xu Jiao , Lin Peilin , Luo Ya , Zhu Yuan , Shi Yi , Chen Shangtao , Wu Zengxiang , Li Shuangqing
Published: May 2022

Introduction

Modified electroconvulsive therapy (MECT) is a viable therapeutic option for patients with mood disorders and schizophrenia. We found that there is a relationship between MECT and leukocytosis. To the best of our knowledge, this is the first case of this problem. There are no relevant guidelines recommending the risk of leukocytosis caused by MECT, nor the method to reduce the risk. We hope to share this case to provide a reference for the prevention and treatment of similar patients with leukocytosis during or after MECT and remind psychiatrists to pay attention to this risk of leukocytosis before making the decision of MECT while knowing how to deal with it.

Case presentation

We describe a case of a 24-year-old woman diagnosed with Paranoid personality disorder (PPD) whose symptoms began at 19 years old. Her main clinical manifestations are feeling targeted, cheated, tracked, misunderstood, and repeating action. Since antipsychotic treatment was ineffective, we considered MECT. After MECT, the patient’s body temperature increased, and leukocytosis was found. After excluding infection and other possibilities, we added 1,000 ml physiological saline to the patient through the vein. The white blood cell (WBC) count returned to normal in a short time.

Conclusion

Before MECT, it is necessary to screen blood cytology. During and after MECT, we should be alert to leukocytosis that may be related to MECT and deal with it correctly in time.
Burden of All Cancers Along With Attributable Risk Factors in China From 1990 to 2019: Comparison With Japan, European Union, and USA
Authors: Yang Xiaorong , Chen Hui , Sang Shaowei , Chen Hao , Li Lanbo , Yang Xiaoyun
Published: May 2022

Background

Understanding the epidemiological characteristics of various cancers can optimize the prevention and control strategies in the national cancer control plan. This study aimed to report the burden differences, pattern trend, and potential risk factors of all neoplasm types in China in recent 30 years, and further compared with top economies in the world.

Methods

The disability-adjusted life-years (DALYs) and age-standardized DALY rate (ASDR) of all neoplasms with the attributable risk factors from 1990 to 2019 in China, Japan, European Union, USA, and the world were extracted from the Global Burden of Disease Study 2019. The temporal trend analysis was estimated using the joinpoint regression model.

Results

In 2019, about 251.4 million DALYs worldwide were caused by all neoplasms, and nearly 26.9% (67.5 million DALYs) occurred in China with the ASDR in 2019 of 342.09/10 000, which was higher than European Union (334.25/10 000), USA (322.94/10 000), and Japan (250.36/10 000). Although the cancer burden of the colorectum, non-Hodgkin lymphoma, oral cavity, ovary, and kidney in China was lower than in Japan, European Union and USA, the corresponding ASDR gradually increased in China over the past 30 years, but declined in the three developed areas. Around 46.29% of overall neoplasms DALYs in China in 2019 were attributed to 22 identified risk factors, and the specific risk attributable-fraction for several neoplasm types varied greatly in these regions.

Conclusion

The ASDR of cancers of the lung, colorectum, pancreas, non-Hodgkin lymphoma, oral cavity, ovary, kidney, and chronic lymphoid leukemia increased in China compared to 30 years ago. With the population aging and the social transformation in China, the increasing burden of neoplasms and the changing spectrum of neoplasms suggest that effective comprehensive prevention and treatment measures should be adopted to reduce the burden, including public health education, strict tobacco-control policy, healthier lifestyles, along with expanding vaccination programs and early cancer screening.
Patient- and Community-Oriented Primary Care Approaches for Health in Rural, Remote and Resource-Dependent Places: Insights for Eco-Social Praxis
Authors: Buse Chris G. , Allison Sandra , Cole Donald C. , Fumerton Raina , Parkes Margot Winifred , Woollard Robert F.
Published: May 2022

Accelerating ecological and societal changes require re-imagining the role of primary care and public health to address eco-social concerns in rural and remote places. In this narrative review, we searched literatures on: community-oriented primary care, patient-oriented research engagement, public health and primary care synergies, and primary care addressing social determinants of health. Our analysis was guided by questions oriented to utility for addressing concerns of social-ecological systems in rural, remote contexts characterized by a high degree of reliance on resource extraction and development (e.g., forestry, mining, oil and gas, fisheries, agriculture, ranching and/or renewables). We describe a range of useful frameworks, processes and tools that are oriented toward bolstering the resilience and engagement of both primary care and public health, though few explicitly incorporated considerations of eco-social approaches to health or broader eco-social context(s). In synthesizing the existing evidence base for integration between primary care and public health, the results signal that for community-oriented primary care and related frameworks to be useful in rural and remote community settings, practitioners are required to grapple with complexity, durable relationships, sustainable resources, holistic approaches to clinician training, Indigenous perspectives, and governance.
Stochastic Learning in Kolkata Paise Restaurant Problem: Classical and Quantum Strategies
Authors: Chakrabarti Bikas K. , Rajak Atanu , Sinha Antika
Published: May 2022

We review the results for stochastic learning strategies, both classical (one-shot and iterative) and quantum (one-shot only), for optimizing the available many-choice resources among a large number of competing agents, developed over the last decade in the context of the Kolkata Paise Restaurant (KPR) Problem. Apart from few rigorous and approximate analytical results, both for classical and quantum strategies, most of the interesting results on the phase transition behavior (obtained so far for the classical model) uses classical Monte Carlo simulations. All these including the applications to computer science [job or resource allotments in Internet-of-Things (IoT)], transport engineering (online vehicle hire problems), operation research (optimizing efforts for delegated search problem, efficient solution of Traveling Salesman problem) will be discussed.
Effects on Taxiing Conflicts at Intersections by Pilots’ Sensitive Speed Adjustment
Authors: Yang Kai , Yang Hongyu , Zhang Jianwei , Kang Rui
Published: May 2022

The pilot is the main person in charge of taxiing safety while moving on the airport surface. The visual separation and speed adjustment are directly related to safety and efficiency of airport surface operation. According to the actual taxiing procedures and airport control rules in China, this paper proposes a novel microscopic simulation model based on the pilots’ visual separation. This model is also built by refining the aircraft taxiing procedures at intersections. The observation range, the separation judgment, pilots’ visual distance, rate of proximity and the intention for speed governing are discussed as parameters in the model. The rules for aircraft separation judgment, pilots’ autonomous speed governing, and position updates are also set up and discussed. The proposed simulation can accurately simulate the acceleration and deceleration intentions under different motion trends while reproducing the motion process including the following acceleration, following deceleration and delayed deceleration caused by separation changes. The results demonstrate that the number of conflicts can be reduced to 50% based on visual separation adjustment of 50 s when the convergence angle is 30°. The pilot’s visual distance is inversely proportional to the fluctuation range of the speed of the rear aircraft, the proximity rate of the front and rear aircraft and the probability of conflict. The simulation results of this model conform to the actual taxiing routes and control rules, which provides technical support for improving the safety level of airport surface operation and presents certain reference value and practicability.
Experimental Study of Measuring the Wrinkle of Solar Sails
Authors: Zou Jie , Li Dongxu , Wang Jie , Yu Ye
Published: May 2022

Conducting a wrinkling analysis for a membrane structure of complex boundary conditions is quite difficult. This paper develops a numerical calculation method for completing a wrinkling analysis of a square membrane structure and a trapezoidal membrane structure with static corner forces. Furthermore, an experimental system for measuring the wrinkle is designed and established to verify the correctness of the method. The difference between simulation analysis results and experimental results is quite small for small corner forces, which means the method used for the wrinkling analysis under small loads is effective.
Aerodynamic Modelling of the Airfoil Immersed in Two-Dimensional Jet Flow
Authors: Li Xu , Zhou Zhou
Published: May 2022

In order to study the aerodynamic interaction of the airfoil and jet flow, the free streamline model and the panel method are combined to develop a fast calculation method for the airfoil in two-dimensional inviscid jet flow. The vortex strength and position of the jet boundary are determined by using the free streamline model and the constant total pressure difference assumption, the circulation of the airfoil is solved by the vortex panel method, and the whole process is coupled by relaxation iteration. Firstly, the convergence and effectiveness of the present method are verified. Next, the influence of the length ratio of jet height to airfoil chord, the velocity ratio of jet velocity to freestream velocity, and the ground effect on airfoil aerodynamics are studied. The results show that the aerodynamic characteristics of the airfoil in finite width jet flow and in freestream have a large difference, and it is important to consider the jet deflection for jet/airfoil interaction. In jet flow, the velocity ratio can be regarded as an aerodynamic similarity parameter for the airfoil. When the jet flow is deflected, the airfoil will not only generate lift but also drag, and the ground effect can be used to decrease drag. The developed method in this paper can not only capture the jet deflection but also has higher calculation efficiency than Computational Fluid Dynamic (CFD), which is beneficial for the preliminary design of a powered-lift device.
Influence of Agricultural Chains on the Carbon Footprint in the Context of European Green Pact and Crises
Authors: Haller Alina
Published: May 2022

Agriculture and related activities generate a significant amount of greenhouse gas emissions with environmental and biodiversity implications. Based on the European objectives proposed by the Green Pact, this paper assesses the carbon footprint of agricultural chains for European OECD member countries. The period analysed is 2000–2019, and the method applied is panel data, specific to OLS models. We opted for three research directions: one is general, one is geographical and one is in temporary dynamics. The general analysis shows that in the European region, the organically cultivated area and economic growth reduce the carbon footprint, while fertilisers, aquaculture production, investments in road infrastructure and agricultural area determine its increase. The geographical analysis outlines the existence of two clusters, one consisting of Member States where agricultural chains reduce their carbon footprint and one consisting of a larger number of Member States, including the major European agricultural powers, where agricultural chains increase the carbon footprint. The temporary analysis reveals that the EU has changed its paradigm since 2008–2009. Economic growth has been slowly decoupling from the carbon footprint since 2016, and the rest of the factors analysed have become more environmental since the late 2010s. The EU has positioned itself towards achieving the objectives set by the Green Pact at a slow pace, justified by the heterogeneity of members’ national characteristics, in addition to its purpose not to harm the food security of the population. In order to achieve the objectives proposed by the Green Pact, it is necessary to focus on more extensive organic farming and traditional production methods, more extensive efforts to reduce nitrogen surplus in fertilizer content, to support short agri-food chains and to identify new production techniques, including the use of nanotechnology and high-performance technologies. Local agricultural chains are crystallizing into a possible solution to the insecurity generated by energy and food crises, political conflicts, pandemics, under the observation that organic products should be excluded from the category of luxury commodity.
Application of Artificial Neural Network Sensitivity Analysis to Identify Key Determinants of Harvesting Date and Yield of Soybean (Glycine max [L.] Merrill) Cultivar Augusta
Authors: Niedbała Gniewko , Kurasiak-Popowska Danuta , Piekutowska Magdalena , Wojciechowski Tomasz , Kwiatek Michał , Nawracała Jerzy
Published: May 2022

Genotype and weather conditions play crucial roles in determining the volume and stability of a soybean yield. The aim of this study was to identify the key meteorological factors affecting the harvest date (model M_HARV) and yield of the soybean variety Augusta (model M_YIELD) using a neural network sensitivity analysis. The dates of the start of flowering and maturity, the yield data, the average daily temperatures and precipitation were collected, and the Selyaninov hydrothermal coefficients were calculated during a fifteen-year study (2005–2020 growing seasons). During the experiment, highly variable weather conditions occurred, strongly modifying the course of phenological phases in soybean and the achieved seed yield of Augusta cultivar. The harvesting of mature soybean seeds took place between 131 and 156 days after sowing, while the harvested yield ranged from 0.6 t·ha−1 to 2.6 t·ha−1. The sensitivity analysis of the MLP neural network made it possible to identify the factors which had the greatest impact on the tested dependent variables among all the analyzed factors. It was revealed that the variables assigned ranks 1 and 2 in the sensitivity analysis of the neural network forming the M_HARV model were total rainfall in the first decade of June and the first decade of August. The variables with the highest impact on the Augusta soybean seed yield (model M_YIELD) were the mean daily air temperature in the second decade of May and the Seljaninov coefficient values calculated for the sowing–flowering date period.
Detection of Rice Spikelet Flowering for Hybrid Rice Seed Production Using Hyperspectral Technique and Machine Learning
Authors: Zhang Yali , Bai Luchao , Qi Yuan , Huang Huasheng , Lu Xiaoyang , Xiao Junqi , Lan Yubin , Lin Muhua , Deng Jizhong
Published: May 2022

Effective detection of rice spikelet flowering is crucial to the determination of optimal pollination timing for hybrid rice seed production. Currently, the detection of rice spikelet flowering status relies on manual observation of farmers, which has low efficiency and large errors. This study attempts to acquire rice spikelet flowering information using a hyperspectral technique and machine learning in order to meet the needs of hybrid rice seed pollination rapidly and automatically. Hyperspectral data of rice male parents with flowering and non-flowering in two experimental sites were collected with an ASD FieldSpec® HandHeld™2 spectrometer. Three traditional classifiers, Random Forest (RF), Support Vector Machine (SVM) and Back Propagation (BP) neural network, and Convolutional Neural Network (CNN), were used to build classification models for rice spikelets flowering detection. Three data processing methods, PCA feature extraction, GA feature selection, and the PCA and GA combination algorithm, were used for data dimensionality reduction. By comparing the precision and recall rate of different algorithms and data processing methods, the algorithms applicable to identify rice spikelet flowering were investigated. Results show that by evaluating different feature reduction methods and classifiers, the optimal model for rice spikelets flowering detection is the BP model with PCA feature extraction. The accuracy of the model reaches up to 96–100%. Hyperspectral technology and machine learning algorithm are capable of effective detection of rice spikelet flowering. This study provides technical reference for accurate judgment of rice flowering and helps to determine the optimal operation time for supplementary pollination of hybrid rice.
Physiological and Biochemical Parameters of Leaves for Evaluation of the Potato Yield
Authors: Rozentsvet Olga , Bogdanova Elena , Nesterov Viktor , Bakunov Alexey , Milekhin Alexey , Rubtsov Sergei , Dmitrieva Nadezhda
Published: May 2022

The aim of the study was to investigate the morphological, physiological, and biochemical parameters of leaves to evaluate the yield of Solanum tuberosum L. We conducted 3-year experiments with 24 varieties of potatoes, differing in ripeness groups (early ripening, mid-early ripening and mid ripening). Plant height, linear dimensions, number of stomata per unit leaf area as well as content of pigments, proline, membrane lipids and proteins, and the level of lipid per oxidation in the leaves of each variety were investigated. A 3D modeling method showed the yield of early varieties negatively correlated with an increase in temperatures (R = –0.97). The soil moisture content positively correlated with the yield of medium-early varieties (R = 0.97). The soil moisture content and the tuber numbers in mid-season varieties had a negative correlation (R = –0.96). The regulation mechanisms of processes in cells depend on the ripening time of a variety. In order to increase productivity and to improve the potato quality, it is necessary to take into account the peculiarities of the regional climatic conditions and use the varieties of a certain ripening group. Our data refine the understanding of the relationship between the potato above-ground mass and the yield of tubers.
Effects of Sheep Grazing Systems on Water Quality with a Focus on Nitrate Leaching
Authors: Maheswaran Sarmini , Cranston Lydia M. , Millner James P. , Horne David J. , Hanly James A. , Kenyon Paul R. , Kemp Peter D.
Published: May 2022

This article reviews the literature on nitrate leaching under sheep grazing systems and focuses on identifying future research needs. Urinary nitrogen (N) is an important source of the nitrate leached from pastoral agriculture. Urinary N excretion can be measured or simulated using models and has been well characterised for dairy systems. It is difficult to continuously monitor the urinary N excretion of sheep under field conditions; consequently, measurements of N excretion in sheep urine are limited. Urination events by sheep vary greatly in volume (0.5 L to 6.9 L), concentration (3 to 13.7 g N/L), and frequency (8 to 23 events/day); this variation results in a corresponding variation in N loading rates in urine patches. The amount of nitrate leached under pastures grazed by sheep has typically varied between 1 and 50 kg N/ha/year, but rates as high as 300 kg N/ha/year have been reported. The quantity of nitrate leached under sheep depends on the season, climate, quantity and timing of drainage, the interaction between forage production and stocking rate, fertiliser applied, N fixation by legumes, forage type, and grazing management. The majority of studies examining nitrate leaching under sheep grazing systems are more than 20 years old; so, there is little recent information on nitrate leaching under modern pasture-based sheep production systems. Further research is required to quantify nitrate leaching levels under current sheep farming practices, to understand the impacts of this leaching on water quality, and to help identify effective strategies to reduce the transfer of N from grazed paddocks to receiving water bodies. This additional information will help provide information for decision support tools, including models and management practices, to help sheep farmers minimise their impact on the aquatic environment.
Marker-Assisted Backcross Breeding for Improving Bruchid (Callosobruchus spp.) Resistance in Mung Bean (Vigna radiata L.)
Authors: Wu Ranran , Zhang Qinxue , Lin Yun , Chen Jingbin , Somta Prakit , Yan Qiang , Xue Chenchen , Liu Jinyang , Chen Xin , Yuan Xingxing
Published: May 2022

Mung bean is vulnerable to bruchids (Callosobruchus spp.), resulting in low quality and losses worldwide. Developing resistant cultivars is the most effective, economical, and eco-friendly way to protect mung bean seeds from the damage of bruchids. Previously, we identified two gene loci that are tightly linked with bruchid resistance, which makes new cultivar development possible using molecular assisted selection (MAS). In the present study, marker-assisted backcross (MABC) breeding was employed to introgress the bruchid resistance gene VrPGIP2 locus from the donor parent V2802 into a popular cultivar, Kamphaeng Saen 1. Markers VrBR-SSR013 and DMB-SSR158 were used for foreground selection, and phenotypic selection was used for background selection. Three advanced inbred lines (R67-11, R67-22, and R92-15) carrying the resistance gene VrPGIP2 were developed from the BC3F6 population. Further analysis showed that the line R67-22 performed best; it was highly resistant to bruchids and showed excellent agronomic traits in the field. Therefore, R67-22 could be further evaluated in large-scale trials for release as a variety.
OsVTC1-1 RNAi Mutant with Reduction of Ascorbic Acid Synthesis Alters Cell Wall Sugar Composition and Cell Wall-Associated Proteins
Authors: Lamanchai Kanyanat , Salmon Deborah L. , Smirnoff Nicholas , Sutthinon Pornsawan , Roytrakul Sittiruk , Leetanasaksakul Kantinan , Kittisenachai Suthathip , Jantasuriyarat Chatchawan
Published: May 2022

Ascorbic acid (AsA) or Vitamin C is an antioxidant molecule and plays an important role in many biological processes in plants. GDP-D-mannose pyrophosphorylase (GMP or VTC1) catalyzes the synthesis of GDP-D-mannose, which is a precursor for AsA production and is used for cell wall polysaccharide and glycoprotein synthesis. In rice, the OsVTC1 gene consists of three homologs, including OsVTC1-1, OsVTC1-3 and OsVTC1-8. In this study, we characterized wild type (WT) and OsVTC1-1 RNAi lines (RI1-2 and RI1-3) and showed that the transcript levels of most genes in the AsA synthesis pathway, AsA content and leaf anatomical parameters in RNAi lines were reduced, revealing that OsVTC1-1 is involved in AsA synthesis. To further study the role of OsVTC1-1 gene, cell wall monosaccharide composition, transcriptome and proteome were compared, with specific attention paid to their wild type and OsVTC1-1 RNAi lines. Mannose and galactose composition (mole%) were decreased in OsVTC1-1 RNAi lines. Additionally, reduction of cell wall-associated proteins, such as kinesin, expansin, beta-galactosidase and cellulose synthase were observed in OsVTC1-1 RNAi lines. Our results suggest that OsVTC1-1 gene plays an important role in AsA synthesis and in cell wall-related processes.