bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors promoting collaboration between community sports leaders and guardians in urban areas of Japan: A cross-sectional study
Authors: Hosokawa Yoshino , Yako-Suketomo Hiroko , Ishii Kaori , Oka Koichiro
Published: August 2022

Background

Community sports leaders (CSLs) are expected to play an important role in promoting regional sports in Japan. Increased opportunities for CSLs to work in schools and engage with guardians could encourage middle-aged adults to participate in regional sports activities. However, few CSLs work with guardians, and there is no evidence regarding what CSL characteristics encourage collaboration. The present study aimed to ascertain the aspects of coordination for CSLs collaborating with guardians in urban areas.

Methods

A self-administered questionnaire survey was mailed to all 1,489 CSLs through 59 municipalities using the CSL out of 62 in Tokyo, Japan, from July to November 2021. The questionnaire covered sociodemographic data, variables related to CSL activities, coordination functions, and experience collaborating with guardians. We conducted a binomial logistic regression analysis using experience collaborating with guardians as the dependent variable, coordination function as the explanatory variable, and gender, age, residence duration, years of CSL experience, and the number of activities as covariates.

Results

The analyzed sample comprised 478 CSLs. Binomial logistic regression analysis revealed a significant relationship between experience collaborating with guardians and the coordination function of internal/external CSL organizations, such as participation in non-CSL community activities, experience teaching and supporting their own children's sports, activity initiatives, number of times they used the school gymnasium, awareness of the regional sports plan, and cooperation with the chairman of the neighborhood association.

Conclusions

Collaboration with guardians was related to CSL's individual experience engaging in regional sports from parenting and community collaboration, such as participation in non-CSL community activities and their relationship with the chairman of the neighborhood association. CSL activities may have the potential to encourage middle-aged adults to participate in regional sports.
How the interrelated physical, social and organizational environment impacts daily life of residents with dementia on a Green Care Farm
Authors: Rosteius Katharina , de Boer Bram , Staudacher Sandra , Schols Jos , Verbeek Hilde
Published: August 2022

Green Care Farms (GCF) are innovative long-term care environments and an alternative to regular nursing homes in the Netherlands. Following a culture change movement, GCFs have radically altered the care environment. Research suggests positive effects on residents. However, knowledge is limited regarding their physical, social and organizational environment. This article explores the care environment of 24-h GCFs for people with dementia and its impact on residents and their daily life. An ethnographic study using mixed methods was carried out at a GCF in the Netherlands between June and October 2021. Researchers lived on the GCF and completed 28 days of participatory observations in three groups. During the day, informal conversations were held with residents (n = 48), staff and family members. Twenty four semi-structured interviews were conducted with residents, their family members, staff and the managers, complemented by a focus group with staff. The physical environment was additionally assessed with the OAZIS-dementia tool. Data collection methods informed each other. Qualitative data was thematically analyzed, quantitative data descriptively. Four themes were identified as crucial during daily life on the GCF: stimulating the senses, engaging in purposeful activities, sharing responsibilities and creating a community in a new home. Realizing these topics in practice, physical, social and organizational environmental components were highly interrelated. The physical environment encouraged and facilitated meaningful in-/outdoor activities and social encounters. The organizational environment supported the use of the physical environment by aligning processes and transporting the vision. The social environment focused on collaboration and creating a home-like atmosphere by including residents in household- and farm chores. This community-building led to more meaningful activities and social interaction. In conclusion, this study revealed the central influence of the management in paving the way for a new form of care delivery. As leaders shape the three environments, the organization influences the design of the physical environment and the actions taking place within it. By creating a community, the care home benefits residents, their families and staff equally. The conscious interrelation and harmonization of the physical, social and organizational components of a long-term care environment has the potential to improve the daily life of residents.
The progress of research into pseudophosphatases
Authors: Liu Deqiang , Zhang Yiming , Fang Hui , Yuan Jinxiang , Ji Lizhen
Published: August 2022

Pseudophosphatases are a class of phosphatases that mutate at the catalytically active site. They play important parts in many life processes and disorders, e.g., cell apoptosis, stress reaction, tumorigenesis, axon differentiation, Charcot-Marie-Tooth, and metabolic dysfunction. The present review considers the structures and action types of pseudophosphatases in four families, protein tyrosine phosphatases (PTPs), myotube protein phosphatases (MTMs), phosphatases and tensin homologues (PTENs) and dual specificity phosphatases (DUSPs), as well as their mechanisms in signaling and disease. We aimed to provide reference material for the research and treatment of related diseases.
Acoustic presence and vocal repertoire of bowhead whales (Balaena mysticetus) in eastern and central Fram Strait
Authors: Thomisch Karolin , Hiemer Katharina , Boebel Olaf , Burkhardt Elke , Spiesecke Stefanie , Van Opzeeland Ilse
Published: August 2022

Bowhead whales (Balaena mysticetus) of the East Greenland-Svalbard-Barents Sea (Spitsbergen) population are still considered endangered, but knowledge on spatio-temporal distribution patterns and behavioral aspects remains scarce, yet crucial for this population’s conservation. Long-term passive acoustic recordings were collected at five locations in central and eastern Fram Strait (78-79°N, 0-7°E) as part of the Ocean Observing System FRAM (Frontiers in Arctic Marine Monitoring). Data recorded in 2012 and 2016/2017 were analyzed for the acoustic occurrence of bowhead whales at hourly resolution using a combination of automated and manual analyses. Bowhead whales were acoustically present from autumn throughout the winter months (October-February) and occasionally in spring (March-June), supporting hypotheses that Fram Strait is an important overwintering area. Acoustic presence peaked between mid-November and mid-December with bowhead whale calls recorded almost daily, often hourly for several consecutive days. The observed peak in acoustic presence coincided with the presumed mating period of bowhead whales, starting in late winter, indicating that Fram Strait may also serve as a mating area. Detailed analyses of recordings of a single year and location revealed eight distinct bowhead whale song types, comprising simple songs and call sequences. No bowhead whales were recorded in summer (July-September), indicating that they had migrated to summering areas or resided outside the detection range. Compared to previous studies in western Fram Strait, bowhead whale detections in our recordings were less frequent and recorded songs were less complex. The observed regional differences in bowhead whale acoustic behavior across Fram Strait suggest that eastern Fram Strait may represent a less favorable part of the bowhead whale overwintering area.
Evolution of value chain and governance actor responses to the plastic leakage problem in South Africa
Authors: Chitaka Takunda Yeukai , de Kock Lorren , von Blottnitz Harro
Published: August 2022

An estimated 15,000–40,000 tons of plastic waste leaks into the oceans from South Africa annually. This has put the management of plastic products in the spotlight. In South Africa, life cycle management (LCM) is not a term that is commonly used however some companies have adopted LCM tools and concepts including cleaner production, sustainable procurement and design for recycling. Interviews with key value chain actors were conducted in 2017 and 2018–2019, on the influence of plastic leakage on plastic product life cycle management. In 2017, actors largely did not view themselves as responsible for plastic leakage, mostly putting blame on consumers. During the second interview period, a shift was observed wherein the actors recognized the role of product design in plastic leakage and started taking a more active role in its mitigation from the perspective of extended producer responsibility. The drivers for addressing marine pollution mirrored those for the adoption of LCM tools, including maintaining a competitive advantage and meeting investor and consumer expectations. In 2020, the South African Plastic Pact was developed and launched, which aims to create a circular economy for plastic packaging. As of October 2021, the majority of interviewed value chain actors are members. Ultimately the increasing concern surrounding plastic pollution has directly influenced value chain actors' perspectives and actions.
Can Electricity Help Our Brains Learn Faster?
Authors: Donaldson Rachel , Liu Sicong , Appelbaum Lawrence Gregory
Published: August 2022

Have you ever been frustrated when you miss a shot in basketball, or when your drawing comes out differently on paper than you pictured in your head? Would not it be nice if there was a way that we could speed up learning, to help our brains and hands work together better? People who are training to be surgeons feel the same way. Before they get good enough to do real operations, they must practice drills using a pretend setup, called a simulator, that feels like surgery without risking patients’ safety. Because the brain uses electricity to communicate with the body, we tested whether we could help people get better faster by applying electricity to their brains while they practiced these drills. We found that it worked! This means that electricity can help people’s brains learn quicker, especially for skills that use the eyes and hands together.
Say Cheese! Snapshots of the Living Mouse Brain
Authors: Brockman Elizabeth , De Paola Vincenzo
Published: August 2022

The human brain is a highly complex system comprised of billions of cells, called neurons, that are all interconnected. Normal brain function depends on effective communication between neurons, which requires signals to travel down a nerve cell and then over to the next cell it is connected to. Several diseases result from impairments in the communication between neurons, which is why it is important to study these signals in the living brain. Since the living human brain is difficult to study, scientists use simpler organisms like mice. To see mouse neurons, a piece of skull is replaced with a clear glass window. Powerful microscopes can then be used to capture snapshots of neurons deep inside live brains! Clever use of lasers to excite chemical “tags” inside the neurons makes them glow with fluorescent light. Join us as we explore the inner workings of neuron communication in the living brain.
Research Progress on Greenhouse Gas Emissions From Livestock in Sub-Saharan Africa Falls Short of National Inventory Ambitions
Authors: Graham Michael W. , Butterbach-Bahl Klaus , du Toit C. J. Linde , Korir Daniel , Leitner Sonja , Merbold Lutz , Mwape Ackim , Ndung’u Phyllis W. , Pelster David E. , Rufino Mariana C. , van der Weerden Tony , Wilkes Andreas , Arndt Claudia
Published: August 2022

Livestock are an important source of livelihoods in agricultural systems in sub-Saharan Africa (SSA), while also being the largest source of national greenhouse gas (GHG) emissions in most African countries. As a consequence, there is a critical need for data on livestock GHG sources and sinks to develop national inventories, as well as conduct baseline measurements and intervention testing to mitigate GHG emissions and meet ambitious national climate goals. Our objective was to review studies on GHG emissions from livestock systems in SSA, as well as soil carbon storage in livestock-dominated systems (i.e., grasslands and rangelands), to evaluate best current data and suggest future research priorities. To this end, we compiled studies from SSA that determined emission factors (EFs) for enteric methane and manure emissions, along with studies on soil organic carbon (SOC) stocks in SSA. We found that there has been limited research on livestock GHG emissions and SOC relative to national ambitions for climate change mitigation in SSA. Enteric methane emission factors (EFs) in low productivity cattle systems may be lower than IPCC Tier 1 default EFs, whereas small ruminants (i.e. sheep and goats) had higher EFs compared to IPCC Tier 1 EFs. Manure EFs were equal to or lower than IPCC Tier 1 EFs for deposited manure (while grazing), manure applied as fertilizer, and manure management. SOC stocks for grasslands and rangelands in SSA show broad agreement with IPCC estimates, but there was a strong geographic bias and many studies did not report soil type, bulk density, or SOC stocks at >30 cm depth. In general, the largest data gaps included information for manure (quantity, quality, management), small ruminants, agropastoral/pastoralist systems, and in general from West Africa. Future research should focus on filling major data gaps on locally appropriate mitigation interventions and improving livestock activity data for developing Tier 2 GHG inventories in SSA. At the science-policy interface, all parties would benefit from enhanced coordination within the research community and between researchers and African governments to improve Tier 2 inventories and harmonize measurement for mitigation in livestock systems in SSA.
Participating in extracurricular activities and school sports during the COVID-19 pandemic: Associations with child and youth mental health
Authors: LaForge-MacKenzie Kaitlyn , Tombeau Cost Katherine , Tsujimoto Kimberley C. , Crosbie Jennifer , Charach Alice , Anagnostou Evdokia , Birken Catherine S. , Monga Suneeta , Kelley Elizabeth , Burton Christie L. , Nicolson Robert , Georgiades Stelios , Korczak Daphne J.
Published: August 2022

In Ontario, Canada, school extracurricular activities and sports were modified or canceled for a prolonged period due to public health restrictions resulting from the COVID-19 pandemic. The present study aims to examine the association of changes to extracurricular and sport participation and child and youth mental health. Data were collected on child and youth mental health symptoms (n= 908) and participation in extracurricular activities and sports in the 2019–2020 and 2020–2021 academic years. Results indicated that pre-COVID (2019–2020) participation in either extracurricular activities or sports was associated with reduced anxiety, inattention, and hyperactivity during the pandemic (β range −0.08 to −0.11,p< 0.05). Participation in either extracurricular activities or sports during-COVID (2020–2021) was associated with lower depressive symptoms (β range −0.09 to −0.10,p< 0.05). Findings suggest that participation in extracurricular activities and/or school sports both before or during the COVID-19 pandemic were associated with better mental health outcomes in children and youth. Implications of this work consider future situations where restrictions on extracurricular and sport participation are reinstated and the impact of child and youth mental health.
Total neoadjuvant therapy or standard chemoradiotherapy for locally advanced rectal cancer: A systematic review and meta-analysis
Authors: Ma Zhou , Tan Ling , Liu Zi-lin , Xiao Jiang-wei
Published: August 2022

Background and Aim

The effectiveness of total neoadjuvant therapy (TNT) on patients with locally advanced rectal cancer (LARC) is controversy. This study aims to compare the prognostic value of TNT with standard neoadjuvant chemoradiotherapy (CRT) for LARC.

Methods

We searched databases (Embase [Ovid], Medline [Ovid], PubMed, Cochrane Library, and Web of Science) for articles published between January 1, 2000, and March 10, 2022. Studies on evaluating the effects of TNT and standard CRT on the prognosis of LARC were included. The primary outcomes were overall survival (OS) and disease-free survival (DFS).

Results

19 primary studies, involving 10 randomized controlled trials, 3 prospective studies and 6 retrospective studies, with data on 5,074 patients treated for LARC were included in the meta-analysis. Statistical analyses revealed that, compared with standard CRT, TNT significantly improved OS (hazard ratio [HR]=0.77, 95% confidence interval [CI]=0.65–0.90, I2 = 30%, P = 0.17), DFS (HR = 0.85, 95% CI = 0.74–0.97, I² = 11%, P = 0.35), distant metastases-free survival (DMFS, HR = 0.76, 95% CI = 0.65–0.90, I² = 0%, P = 0.50), pathological complete response rate (pCR, OR = 1.89, 95% CI = 1.61–2.22, I² = 0%, P = 0.47), and R0 resection rate (OR = 1.33, 95% CI = 1.07–1.67, I² = 16%, P = 0.28), but local recurrence-free survival (LRFS, HR = 1.12, 95% CI = 0.90–1.39, I² = 4%, P = 0.37).

Conclusions

Comprehensive literature research shows that TNT showed excellent short-term efficacy in terms of pCR and R0 resection rate while also improved the long-term outcomes of OS, DFS and DMFS, might become a new standard of treatment in patients with LARC. Even so, more studies and longer follow-up were still warranted.
Can an incomplete ERAS protocol reduce postoperative complications compared with conventional care in laparoscopic radical resection of colorectal cancer? A multicenter observational cohort and propensity score-matched analysis
Authors: Jian Chenxing , Zhou Zili , Guan Shen , Fang Jianying , Chen Jinhuang , Zhao Ning , Bao Haijun , Li Xianguo , Cheng Xukai , Zhu Wenzhong , Yang Chunkang , Shu Xiaogang
Published: August 2022

Background

The patients undergoing laparoscopic radical colorectomy in many Chinese hospitals do not achieve high compliance with the ERAS (enhanced recovery programs after surgery) protocol.

Methods

The clinical data from 1,258 patients were collected and divided into the non-ERAS and incomplete ERAS groups.

Results

A total of 1,169 patients were screened for inclusion. After propensity score-matched analysis (PSM), 464 pairs of well-matched patients were generated for comparative study. Incomplete ERAS reduced the incidence of postoperative complications (p = 0.002), both mild (6.7% vs. 10.8%, p = 0.008) and severe (3.2% vs. 6.0%, p = 0.008). Statistically, incomplete ERAS reduced indirect surgical complications (27,5.8% vs. 59, 12.7) but not local complications (19,4.1% vs. 19, 4.1%). The subgroup analysis of postoperative complications revealed that all patients benefited from the incomplete ERAS protocol regardless of sex (male, p = 0.037, 11.9% vs. 17.9%; female, p = 0.010, 5.9% vs. 14.8%) or whether neoadjuvant chemotherapy was administered (neoadjuvant chemotherapy, p = 0.015, 7.4% vs. 24.5%; no neoadjuvant chemotherapy, p = 0.018, 10.2% vs. 15.8%). Younger patients (<60 year, p = 0.002, 7.6% vs. 17.5%) with a low BMI (<22.84, 9.4% vs. 21.1%, p < 0.001), smaller tumor size (<4.0 cm, 8.1% vs. 18.1%, p = 0.004), no fundamental diseases (8.8% vs. 17.0%, p = 0.007), a low ASA score (1/2, 9.7% vs. 16.3%, p = 0.004), proximal colon tumors (ascending/transverse colon, 12.2% vs. 24.3%, p = 0.027), poor (6.1% vs. 23.7%, p = 0.012)/moderate (10.3% vs. 15.3%, p = 0.034) tumor differentiation and no preoperative neoadjuvant radiotherapy (10.3% vs. 16.9%, p = 0.004) received more benefit from the incomplete ERAS protocol.

Conclusion

The incomplete ERAS protocol decreased the incidence of postoperative complications, especially among younger patients (<60 year) with a low BMI (<22.84), smaller tumor size (<4.0 cm), no fundamental diseases, low ASA score (1/2), proximal colon tumors (ascending/transverse colon), poor/moderate differentiation and no preoperative neoadjuvant radiotherapy. ERAS should be recommended to as many patients as possible, although some will not exhibit high compliance. In the future, the core elements of ERAS need to be identified to improve the protocol.
Integration of transcriptomic and metabolomic analysis of the mechanism of dietary N-carbamoylglutamate in promoting follicle development in yaks
Authors: Zhou Jia , Yue Shuangming , Du Jingjing , Xue Benchu , Wang Lizhi , Peng Quanhui , Zou Huawei , Hu Rui , Jiang Yahui , Wang Zhisheng , Xue Bai
Published: August 2022

Yak is the main livestock in the highlands of China. The low reproductive rate of yaks is a serious constraint on their production and utility. N-carbamylglutamate (NCG) can increase arginine synthesis in mammals and has been shown to improve reproductive performance. Twelve multiparous and simutaneous anoestrous female yaks were randomly divided into two groups, one of which was fed the basal diet (Control, n = 6), and the other was fed the basal diet supplemented with NCG at 6 g/day/yak (NCG, n = 6). All yaks were slaughtered on the 32nd day (the time predicted for the selection of the last wave of dominant follicles), and their ovarian tissues were collected and follicles were classified. NCG supplementation increased the number of large ovarian follicles (diameter > 10 mm), as well as caused significant changes in the transcriptional and metabolic levels in yak ovaries which due to the differential expression of 889 genes and 94 metabolites. Integrated analysis of the transcriptomics and metabolomics data revealed that the differentially expressed genes and differential metabolites were primarily involved in the process of energy metabolism, amino acid metabolic pathways, carbohydrate metabolic pathways, and lipid metabolic pathways. The highlighted changes were associated with amino acid synthesis and metabolism, ovarian steroid hormone synthesis, the pentose phosphate pathway, and the tricarboxylic acid cycle, suggesting that NCG supplementation may promote estrogen synthesis and help regulate follicular development by altering the pathways associated with glucose catabolism. The results present important clues for understanding the mechanisms by which NCG supplementation promotes follicular development in yaks. The findings of this study provide a basis for the development and application of NCG in optimizing animal reproduction, including yak reproductive performance, which may help optimize livestock management and uplift the pastoral economy.
Temporal Dynamics of Socioeconomic Inequalities in COVID-19 Outcomes Over the Course of the Pandemic—A Scoping Review
Authors: Beese Florian , Waldhauer Julia , Wollgast Lina , Pförtner Timo-Kolja , Wahrendorf Morten , Haller Sebastian , Hoebel Jens , Wachtler Benjamin
Published: August 2022

Objectives: International evidence of socioeconomic inequalities in COVID-19 outcomes is extensive and growing, but less is known about the temporal dynamics of these inequalities over the course of the pandemic.

Methods: We systematically searched the Embase and Scopus databases. Additionally, several relevant journals and the reference lists of all included articles were hand-searched. This study follows the PRISMA guidelines for scoping reviews.

Results: Forty-six studies were included. Of all analyses, 91.4% showed stable or increasing socioeconomic inequalities in COVID-19 outcomes over the course of the pandemic, with socioeconomically disadvantaged populations being most affected. Furthermore, the study results showed temporal dynamics in socioeconomic inequalities in COVID-19, frequently initiated through higher COVID-19 incidence and mortality rates in better-off populations and subsequent crossover dynamics to higher rates in socioeconomically disadvantaged populations (41.9% of all analyses).

Conclusion: The identified temporal dynamics of socioeconomic inequalities in COVID-19 outcomes have relevant public health implications. Socioeconomic inequalities should be monitored over time to enable the adaption of prevention and interventions according to the social particularities of specific pandemic phases.
Computational Analysis of PDE-Based Shape Analysis Models by Exploring the Damped Wave Equation
Authors: Köhler Alexander , Breuß Michael
Published: August 2022

The computation of correspondences between shapes is a principal task in shape analysis. In this work, we consider correspondences constructed by a numerical solution of partial differential equations (PDEs). The underlying model of interest is thereby the classic wave equation, since this may give the most accurate shape matching. As has been observed in previous works, numerical time discretisation has a substantial influence on matching quality. Therefore, it is of interest to understand the underlying mechanisms and to investigate at the same time if there is an analytical model that could best describe the most suitable method for shape matching. To this end, we study here the damped wave equation, which mainly serves as a tool to understand and model properties of time discretisation. At the hand of a detailed study of possible parameters, we illustrate that the method that gives the most reasonable feature descriptors benefits from a damping mechanism which can be introduced numerically or within the PDE. This sheds light on some basic mechanisms of underlying computational and analytic models, as one may conjecture by our investigation that an ideal model could be composed of a transport mechanism and a diffusive component that helps to counter grid effects.
MIMO Radar Imaging Method with Non-Orthogonal Waveforms Based on Deep Learning
Authors: Li Hongbing , Zhang Qunfei
Published: August 2022

Transmitting orthogonal waveforms are the basis for giving full play to the advantages of MIMO radar imaging technology, but the commonly used waveforms with the same frequency cannot meet the orthogonality requirement, resulting in serious coupling noise in traditional imaging methods and affecting the imaging effect. In order to effectively suppress the mutual coupling interference caused by non-orthogonal waveforms, a new non-orthogonal waveform MIMO radar imaging method based on deep learning is proposed in this paper: with the powerful nonlinear fitting ability of deep learning, the mapping relationship between the non-orthogonal waveform MIMO radar echo and ideal target image is automatically learned by constructing a deep imaging network and training on a large number of simulated training data. The learned imaging network can effectively suppress the coupling interference between non-ideal orthogonal waveforms and improve the imaging quality of MIMO radar. Finally, the effectiveness of the proposed method is verified by experiments with point scattering model data and electromagnetic scattering calculation data.
A Novel Radially Closable Tubular Origami Structure (RC-ori) for Valves
Authors: Ye Siyuan , Zhao Pengyuan , Zhao Yinjun , Kavousi Fatemeh , Feng Huijuan , Hao Guangbo
Published: August 2022

Cylindrical Kresling origami structures are often used in engineering fields due to their axial stretchability, tunable stiffness, and bistability, while their radial closability is rarely mentioned to date. This feature enables a valvelike function, which inspired this study to develop a new origami-based valve. With the unique one-piece structure of origami, the valve requires fewer parts, which can improve its tightness and reduce the cleaning process. These advantages meet the requirements of sanitary valves used in industries such as the pharmaceutical industry. This paper summarizes the geometric definition of the Kresling pattern as developed in previous studies and reveals the similarity of its twisting motion to the widely utilized iris valves. Through this analogy, the Kresling structure’s closability and geometric conditions are characterized. To facilitate the operation of the valve, we optimize the existing structure and create a new crease pattern, RC-ori. This novel design enables an entirely closed state without twisting. In addition, a simplified modeling method is proposed in this paper for the non-rigid foldable cylindrical origami. The relationship between the open area and the unfolded length of the RC-ori structure is explored based on the modeling method with a comparison with nonlinear FEA simulations. Not only limited to valves, the new crease pattern could also be applied to microreactors, drug carriers, samplers, and foldable furniture.
Distance Learning during the 2020 COVID-19 Lockdown: The Experience of Italian Middle School Students
Authors: Lattke Lynda S. , De Lorenzo Aurelia , Tesauri Beatrice , Rabaglietti Emanuela
Published: August 2022

Northern Italy was one of the first European regions to be affected by COVID-19 restrictions which led to school closures and the compulsion to learn from home. This article examines middle school students’ experiences with distance learning to determine what they found most difficult, what they liked most and what they liked least during the 2020 lockdown. A total of 285 students (56% female; 44% male) with mean age of 13 years (±1 year; min = 11; max = 15) completed the online questionnaire. Responses to three open-ended questions were analyzed and coded using content analysis and an inductive approach. SPSS 26 was then used for descriptive analysis based on the frequencies of the categories that emerged: Learning, Device, Relationship, Other, Environment, Nothing, and Time. The results suggest that important aspects of students’ lives during the lockdown had dual meanings. For example, technological devices were experienced as a means of communication, learning, and maintaining relationships, but were also associated with inequities, technical difficulties, and misunderstandings. Student responses support schools’ role as a place to foster technological skills, especially social and emotional skills, in order to develop concrete strategies to assist students and teachers improve their relationship skills and be better prepared for future pandemics.
Thrust Control of Lab-Scale Hybrid Rocket Motor with Wax-Aluminum Fuel and Air as Oxidizer
Authors: Bhadran Anandu , Manathara Joel George , Ramakrishna P. A.
Published: August 2022

This article explores the throttling aspect of the hybrid rocket motor through experiments using a lab-scale motor. The lab-scale motor utilizes a wax-Al based fuel and compressed air as the oxidizer. The oxidizer flow rate was modulated using a PID controller to study the closed-loop thrust control performance of the motor. Numerical simulations and cold flow tests were carried out to identify the suitable gains for the PID control algorithm. Pressure feedback was used in the control algorithm to obtain the closed-loop thrust control. The resultant closed-loop system followed the reference pressure accurately during the step input response test of the system. The maximum error in the observed chamber pressure was 1.86% for a reference pressure of 4.69 bar, which corresponds to a reference thrust of 117.6 N. The response of the system for a ramp input, with linear thrust variation from 78.4 N to 127.4 N, showed that the measured thrust followed the desired ramp profile with a root-mean-square error of 1.99 N. A ramp-down test with the same thrust range produced a root-mean-square error of 6.2 N.
Discrete-Time Model Predictive Controller Using Laguerre Functions for Active Flutter Suppression of a 2D wing with a Flap
Authors: Darabseh Tariq , Tarabulsi Abdallah , Mourad Abdel-Hamid I.
Published: August 2022

In this paper, a discrete-time model predictive controller using Laguerre orthonormal function-based (LMPC) for active flutter suppression of a two-dimensional wing with a flap is presented. In this work, a linear mathematical state-space model for the pitch, plunge, and flap degrees of freedom under unsteady aerodynamics is derived and used to determine the linear flutter velocity and frequency of the parameters of a selected experimental wing. To verify the model, the open-loop simulation results are compared to an experimental study using the same wing from the literature. The state-space system is then discretized and LMPC with a Kalman filter is designed and tuned using the MATLAB® simulation environment at a selected speed in the linear flutter region. The predictive control advantage of dealing with input constraints in a systematic manner is explored through a quantitative analysis of the response of both constrained and unconstrained LMPC controllers. The results indicate that theoretically both cases can give excellent performance. However, the input trajectory generated by the unconstrained LMPC is very aggressive in a way that it is considered impractical when compared to the physical limits of an experimental actuator from the literature. The potential of LMPC to achieve a reasonable performance at a significantly lower computational cost compared to the classical model predictive controller (MPC) is investigated by measuring the time required by the same computer to compute the control trajectory for both controllers. The data suggest that LMPC requires remarkably low computational power, which makes it an excellent choice for fast aeroelastic applications.
An Eddy Dissipation Concept Performance Study for Space Propulsion Applications
Authors: Martinez-Sanchis Daniel , Sternin Andrej , Shvab Jaroslaw , Haidn Oskar , Hu Xiangyu
Published: August 2022

In this study, Direct Numerical Simulations (DNS) of a turbulent diffusion flame are conducted to investigate the performance of the Eddy Dissipation Concept in turbulent combustion for space propulsion applications. A 20-bar methane-oxygen diffusion flame is simulated to resemble the conditions encountered in modern rocket combustors. The numerical simulations were conducted using the software EBI-DNS within the OpenFOAM framework. An approach for analysis and validation of the combustion model with DNS is developed. The EDC model presents a good agreement with DNS observations in the most prevalent species. Nevertheless, the EDC struggles to predict the mean chemical production rate of intermediate species. It is found that local adaption of the model constants is essential for maximizing the prediction capabilities. The relationship of these parameters with the Reynolds number and the Damköhler number are mostly in good agreement with the trends proposed in recent research .
Whitefly (Bemisia tabaci) Management (WFM) Strategies for Sustainable Agriculture: A Review
Authors: Abubakar Mustapha , Koul Bhupendra , Chandrashekar Krishnappa , Raut Ankush , Yadav Dhananjay
Published: August 2022

The whitefly (Bemisia tabaci Gennadius) is a notorious devastating sap-sucking insect pest that causes substantial crop damage and yield losses due to direct feeding by both nymphs and adults and also through transmission of viruses and diseases. Although the foliar application of synthetic pesticides is crucial for efficient control of B. tabaci, it has adverse effects such as environmental pollution, resistance and resurgence of the pest, toxicity to pollinators, and crop yield penalty. Thus, a suitable, safe, and robust strategy for the control of whiteflies in the agricultural field is needed. The reports on whitefly-resistant transgenic plants are scanty, non-reproducible, and/or need secondary trials and clearance from the Genetic Engineering Appraisal Committee (GEAC), the Ministry of Environment and Forests (MoEF), and the Environmental Protection Agency (EPA). The present review encompasses explicit information compiled from 364 articles on the traditional, mechanical, biological, biotechnological, and chemical strategies for whitefly management (WFM), IPM strategy, and future prospects of WFM for food and agriculture security.
Genome-Wide Identification and Expression Analysis of the PIN Auxin Transporter Gene Family in Zanthoxylum armatum DC
Authors: Zhou Tao , Chen Jiajia , Huang Yanhui , Jin Zhengyu , Li Jianrong , Li Yan , Zeng Xiaofang
Published: August 2022

PIN-formed (PIN) proteins are important auxin carriers that participate in the polar distribution of auxin in plants. In this study, 16 ZaPIN genes were identified from the whole genome of Zanthoxylum armatum DC. The physicochemical properties and structure of PIN proteins were determined, and the gene sequences and promoter regions were analyzed to identify cis-acting elements and conserved motifs. The transcript profiles of ZaPIN genes in different tissues and in response to auxin and gibberellin treatments were also analyzed. A phylogenetic analysis separated the 16 ZaPIN genes into four groups. The ZaPIN genes showed the closest evolutionary relationship to those of Citrus sinensis and the most distant evolutionary relationship to those of Oryza sativa. A cis-element analysis revealed a large number of cis elements in ZaPIN promoter regions related to plant hormones, plant growth and development, and stress stimuli, suggesting that ZaPINs have a wide range of biological activities. Additionally, gene expression profiling revealed that ZaPINs had different expression patterns in nine tissues. Further qRT-PCR analyses revealed that most ZaPINs were upregulated by auxin and gibberellin in young leaves. Our results provide useful information for further structural and functional analyses of the ZaPIN gene family in Z. armatum.
Optimizing Planting Density to Increase Maize Yield and Water Use Efficiency and Economic Return in the Arid Region of Northwest China
Authors: Zhang Guoqiang , Shen Dongping , Ming Bo , Xie Ruizhi , Hou Peng , Xue Jun , Wang Keru , Li Shaokun
Published: August 2022

High grain yield and water use efficiency (WUE) are the key goals when producing maize (Zea mays L.) under irrigation in arid areas. Increasing the planting density and optimizing irrigation are important agronomic practices for increasing the maize grain yield and WUE. A two-year field experiment was conducted to investigate the effects of planting density and irrigation on the maize grain yield, WUE, and economic return of spring maize under a mulch drip irrigation system in Xinjiang, Northwest China. The experiment included four irrigation levels and five planting densities. The results showed that the reduction of irrigation decreased the yield and evapotranspiration (ETc) but improved the WUE. Increasing the planting density increased the ETc, but there was a quadratic curve relationship between yield and WUE and planting density. Treatment with 600 mm of water and 12 plants m−2 obtained the highest grain yield (21.0–21.2 t ha−1) and economic return (3036.0 USD ha−1) and a relatively high WUE (2.64–2.70 kg kg−1). Therefore, a reasonable increase in planting density and an appropriate reduction of irrigation combined with drip irrigation under a mulch system can simultaneously achieve high yields and economic return and high WUE in maize production.
Identification and Characterization of Petal Color Change from Pink to Yellow in Chrysanthemum morifolium ‘Pink Candy’ and Its Bud Variant
Authors: Du Lian-Da , Liu Yan-Hong , Liu Jin-Zhi , Ding Xiang-Qin , Hong Bo , Hu Da-Gang , Sun Cui-Hui
Published: August 2022

Chrysanthemum, one of the most popular ornamental plants in the world, is renowned for its brilliant colors and multifarious flower types. Thousands of gorgeous chrysanthemum cultivars exist thanks to both traditional breeding techniques and its characteristic bud sporting. In this study, we identified a pink-to-yellow flower color-changed bud sport of the edible chrysanthemum cultivar ‘Pink Candy’. The bud variant and its parent plant bloomed at the same time, but with yellow- and pink-colored flowers, respectively. However, the two flower types exhibited strikingly different combinations and concentrations of primary and secondary metabolites, aromatic compounds, and pigments. Additionally, the expression patterns of key pigment biosynthesis genes, such as CmPAL (phenylalanineammonialyase), CmDFR (dihydroflavonol 4-reductase), CmF3H (flavanone 3′-hydroxylase), CmNXS (neoxanthin synthase) and CmCCD4 (carotenoid cleavage dioxygenase 4) were distinct between both flower types, helping to explain the color transformation of the mutant to some extent. Taken together, our results suggest a mechanism explaining the transformation of pink flowers to yellow flowers in the mutant bud sport. These results provide the foundation for the production of a novel chrysanthemum cultivar.
Mowing Increases Root-to-Shoot Ratio but Decreases Soil Organic Carbon Storage and Microbial Biomass C in a Semiarid Grassland of North China
Authors: Li Lu , Liu Huaiqiang , Baoyin Taogetao
Published: August 2022

Quantifying the long-term effects of mowing on soil organic carbon (SOC) is of great importance for understanding the changes in the carbon cycle of the grassland ecosystem and for managing the grassland strategies for both production and soil nutrients. We investigated SOC content and storage within the 0–30 cm soil layer in the grasslands following the application of different mowing regimes—i.e., mowing once every 2 years (M1/2), mowing twice every 3 years (M2/3), mowing once a year (M1/1), mowing twice a year (M2/1), and no mowing (CK)—in the semiarid steppe of northern China. The results indicated that SOC storage and microbial biomass C (MBC) decreased significantly with soil depth. Different mowing frequencies all declined SOC storage and MBC of the grassland ecosystem; however, the root-to-shoot ratio (R:S) was increased. The SOC storage was greatest under CK and had the following order: CK > M1/2 > M2/3 > M1/1 > M2/1 at 0–20 cm, while no significant difference existed in the five mowing frequencies at the soil 20–30 cm layers. Our findings elucidate that different mowing regimes influence soil carbon storage by altering the productivity of vegetation, litter, plant community composition, soil microbial biomass, and resource allocation between aboveground plants and belowground roots, which need to be considered in the sustainable utilization of grasslands in the future. The results of this study support the view that mowing once every 2 years may be an effective mowing management regime for semiarid grasslands, as it conserves both above and belowground parts and maintains the healthy development of ecosystem functions in semiarid grasslands.
Evaluation of Models for Utilization in Genomic Prediction of Agronomic Traits in the Louisiana Sugarcane Breeding Program
Authors: Satpathy Subhrajit , Shahi Dipendra , Blanchard Brayden , Pontif Michael , Gravois Kenneth , Kimbeng Collins , Hale Anna , Todd James , Rao Atmakuri , Baisakh Niranjan
Published: August 2022

Sugarcane (Saccharum spp.) is an important perennial grass crop for both sugar and biofuel industries. The Louisiana sugarcane breeding program is focused on improving sugar yield by incrementally increasing genetic gain. With the advancement in genotyping and (highthroughput) phenotyping techniques, genomic selection is a promising marker-assisted breeding tool. In this study, we assessed ridge regression best linear unbiased prediction (rrBLUP) and various Bayesian models to evaluate genomic prediction accuracy using a 10-fold cross validation on 95 commercial and elite parental clones from the Louisiana sugarcane breeding program. Datasets (individual and pooled in various combinations) were constructed based on soil type (light—Commerce silty loam, heavy—Sharkey clay) and crop (plant cane, ratoon). A total of 3906 SNPs were used to predict the genomic estimated breeding values (GEBVs) of the clones for sucrose content and cane and sugar yield. Prediction accuracy was estimated by both Spearman’s rank correlation and Pearson’s correlation between phenotypic breeding values and GEBVs. All traits showed significant variation with moderate (42% for sucrose content) to high (85% for cane and sugar yield) heritability. Prediction accuracy based on rank correlation was high (0.47–0.80 for sucrose content; 0.61–0.69 for cane yield, and 0.56–0.72 for sugar yield) in all cross-effect prediction models where soil and crop types were considered as fixed effects. In general, Bayesian models demonstrated a higher correlation than rrBLUP. The Pearson’s correlation without soil and crop type as fixed effects was lower with no clear pattern among the models. The results demonstrate the potential implementation of genomic prediction in the Louisiana sugarcane variety development program.
Dynamic Relationship between Agricultural Technology Progress, Agricultural Insurance and Farmers’ Income
Authors: Tan Caifeng , Tao Jianping , Yi Lan , He Juan , Huang Qi
Published: August 2022

The implementation of the agricultural insurance policy and advancement of agricultural technology has great significance for the development of the agricultural economy of China, and it is an important source of national stability and modernization and development of the agriculture sector. Agricultural insurance policy uses the expansion of agricultural technology progress in the process of evaluation, investigation and claims settlement, and so on. Agricultural technology progress is effective in the reduction of some agricultural risks, it also affects farmers’ agricultural insurance behaviors, and optimizes the operating environment of agricultural insurance. The objective of this research is to explore the relationship between agricultural technology progress, agricultural insurance and farmers’ income. It also explains the mutual/cooperative relationship between agricultural technology progress and agricultural insurance. It provides the theoretical basis and data support to verify the promotion effect of agricultural insurance and agricultural technology progress on farmers’ income. This gives the improvement path for alleviating the spatial imbalance of China’s agricultural development. Keeping in view the aforementioned background and this research explores the effects of agricultural technological progress and agricultural insurance on the farmers’ income level. The panel data used for this research were from 2004 to 2019 and were grouped into two parts: high-density agricultural insurance areas and low-density agricultural insurance areas. The relationship between agricultural technology progress, agricultural insurance and farmers’ income was estimated using the Panel Vector Autoregressive (PVAR) model. The results revealed that: (i) both agricultural technology progress and agricultural insurance have a positive effect on the farmers’ income level, but this effect varies across regions; (ii) impact of the agricultural insurance on farmers’ income is greater than the impact of agricultural technology progress on farmers’ income; and (iii) the role of agricultural insurance in promoting agricultural technology progress exists only in areas with high-density agricultural insurance. Therefore, when formulating policies, the policymakers should consider regional differences and characteristics, and adopt development models keeping in view regional variations in adaptability with different agricultural insurance densities, Moreover, they should improve agricultural security policies, optimize agricultural capital allocation, promote the transformation of the agricultural economy from extensional growth to connotative growth, and further improve the agricultural productive income of rural residents.