bluuebunny/crossref_metadata_2025 huggingface dataset:
Barriers to brain health behaviours: results from the Five Lives Brain Health Ireland Survey
Authors: Dukelow Tim , Vassilev Philip , Lawrence Erin Grace , Jacobson Liron , Koychev Ivan , Muhammed Kinan , Kennelly Sean P.
Published: August 2023

Modifiable risk factors for dementia remain prevalent in Ireland. A detailed examination of barriers to risk reduction behaviours in an Irish context has heretofore been lacking. Many existing studies examining barriers to brain health behaviours fail to examine how they might vary across different modifiable risk factors. This study undertook a detailed assessment of barriers to individual risk reduction behaviours. As existing research suggests that barriers may vary across sociodemographic factors, we sought to investigate the distribution of barriers across age, gender, educational status, and household income. The Five Lives Brain Health Ireland Survey is a cross-sectional survey that was distributed online amongst a non-patient population. The survey captured the following: (1) Sociodemographic factors; (2) Barriers to brain health behaviours; (3) Exposure to, and knowledge of, modifiable risk factors for dementia, namely diet, social interaction, exercise, hypertension, sleep, current low mood/depression, current smoking, alcohol consumption, cognitive stimulation, hearing impairment, diabetes, air pollution, and head injury; (4) Participants’ perceptions regarding potential for dementia prevention, and risk reduction. Lack of motivation was the most prevalent barrier to consuming a healthy diet (64%, n = 213), physical activity (77.7%, n = 167), smoking cessation (68%, n = 85), and moderation of alcohol intake (56.3%, n = 67). Practical factors were the most prevalent barriers to addressing low mood (56.5%, n = 87), air pollution (30.1%, n = 58), hearing impairment (63.8%, n = 44), diabetes (11.1%, n = 5), and head injury (80%, n = 8). Emotional factors were the most prevalent barriers to engaging in mentally stimulating activity (56.9%, n = 66), social activity (54.9%, n = 302), and good sleep (70.1%, n = 129). Lack of knowledge was the most prevalent barrier to hypertension control (14.4%, n = 29). Distribution of barriers varied across age, gender, educational status, and household income. This study investigated barriers to lifestyle change to improve brain health in an Irish sample of adults aged 50 and above. Detailed subtyping of barriers, as well as examination of differences according to age, gender, education, and income were undertaken. The heterogeneity of barriers to brain health behaviours revealed in this study highlights the necessity to tailor public health interventions to their target population, taking into account the gender, age, educational status, and income of recipients.
Morphological and conceptual influences on the real-time comprehension of optional plural marked sentences in Yucatec Maya
Authors: Butler Lindsay K.
Published: August 2023

Introduction

Psycholinguistic research often focuses on Indo-European and other commonly studied major languages, while typologically diverse languages remain understudied. In this paper, we examine the morphological and conceptual influences on the real-time comprehension of optional plural-marked sentences in Yucatec Maya, an indigenous language of Mexico with a less commonly studied optional plural marking system.

Methods

Fifty-one speakers of Yucatec Maya participated in a picture-sentence matching experiment carried out in the Yucatan Peninsula of Mexico. Pictures of one, two, or seven humans or animals depicting an intransitive action (conceptual number) were paired with auditorily presented sentences that had no plural marking, one plural, or two plurals (morphological number). Participants indicated by key press whether the picture and the sentence were an acceptable match, and decision time was recorded.

Results

In the analysis of decision (yes versus no) and accuracy, morphological and conceptual factors interacted. In the analysis of decision time, however, morphological plural marking, but not conceptual number, led to faster decisions.

Discussion

In light of previous work on the role of conceptual factors in the computation of number agreement, the interaction between conceptual and morphological factors suggests that a language with optional plural marking (or low “morphological richness”) is associated with high conceptual influence on sentence comprehension. Importantly, the results of this study expand the empirical base of language types that have been investigated using psycholinguistic methods.
Enabling structural resilience of street-involved children and youth in Kenya: reintegration outcomes and the Flourishing Community model
Authors: Goodman Michael L. , Seidel Sarah E. , Springer Andrew , Elliott Aleisha , Markham Christine , Serag Hani , Keiser Philip , Raimer Ben , Raimer-Goodman Lauren , Gatwiri Christine , Munene Kelvin , Gitari Stanley
Published: August 2023

Introduction

Millions of children and youth live on city streets across the globe, vulnerable to substance use, abuse, material and structural neglect. Structural resilience, the re-establishment of access to structural goods within a society such as housing, education, and healthcare following some interruption, provides an orientation for research and interventional efforts with street-involved children and youth (SICY). Further, a structural resilience framework supports organizing interactions between levels and sectors of a socio-ecology.

Methods

Following the expressed interests of Kenyan SICY, and consistent with emerging policy interests at national and global levels, we assess reintegration trajectories of Kenyan SICY (n = 227) participating in a new program intervention and model. The intervention combines two coordinated, parallel programs – one focused on the rescue, rehabilitation, reintegration and resocialization of SICY, and the other focused on empowering families and communities to provide better care for children and youth who are reintegrating from life on the streets to the broader community. Data were collected and analyzed from multiple stages across SICY involvement with the intervention.

Results

We found 79% of SICY participants reintegrated with the broader community, and 50% reintegrated with families of origin and returned to school. Twenty-five percent of participants reintegrated to a boarding school, polytechnical school, or began a business. Probability of reintegrating successfully was significantly improved among participants whose families participated in the family- and community-oriented program, who were younger, with less street-exposure, expressed more personal interests, and desired to reintegrate with family.

Discussion

To our knowledge, these are the first quantitative data published of successful reintegration of SICY to the broader, non-institutionalized community in any low- or middle-income country. Future research should (1) identify factors across socio-ecological levels and sectors contributing to health and developmental outcomes of reintegrated children and youth, (2) mechanisms to support SICY for whom the interventional strategy did not work, (3) methods to prevent street-migration by children and youth, and (4) system development to coordinate follow-up and relevant investment by institutions, organizations and community leaders to continue reintegration work.
Autism spectrum disorder and Coffin–Siris syndrome—Case report
Authors: Milutinovic Luka , Grujicic Roberto , Mandic Maravic Vanja , Joksic Ivana , Ljubomirovic Natasa , Pejovic Milovancevic Milica
Published: August 2023

Introduction

Autism spectrum disorders (ASDs) are a group of developmental disorders characterized by deficits in social communicative skills and the occurrence of repetitive and/or stereotyped behaviors. Coffin–Siris syndrome (CSS) is classically characterized by aplasia or hypoplasia of the distal phalanx or nail of the fifth and additional digits, developmental or cognitive delay of varying degrees, distinctive facial features, hypotonia, hirsutism/hypertrichosis, and sparse scalp hair. In this study, we present a detailed description of autistic traits in a boy diagnosed with CSS and further discuss their genetic backgrounds.

Case description

An 8-year-old boy with ASD, congenital anomalies, and neurological problems had been diagnosed with Coffin–Siris syndrome after genetic testing. Genetic testing revealed a heterozygous de novo pathogenic variant (class 5) c.1638_1647del in the ARID1B gene that is causative of Coffin–Siris syndrome but also other intellectual disability (ID)-related disorders, including autism. Tests that preceded the diagnoses, as well as congenital anomalies and developmental issues, were further described in an attempt to better present his phenotype.

Conclusion

Both autism and ARID1B-related disorders are on a spectrum. This report points out the importance and necessity of further research regarding the genetic backgrounds of these disorders to understand their complex etiology.
Development and validation of a prediction model for rehospitalization among people with schizophrenia discharged from acute inpatient care
Authors: Sato Akira , Moriyama Toshihiro , Watanabe Norio , Maruo Kazushi , Furukawa Toshi A.
Published: August 2023

Objective

Relapses and rehospitalization prevent the recovery of individuals with schizophrenia or related psychoses. We aimed to build a model to predict the risk of rehospitalization among people with schizophrenia or related psychoses, including those with multiple episodes.

Methods

This retrospective cohort study included individuals aged 18 years or older, with schizophrenia or related psychoses, and discharged between January 2014 and December 2018 from one of three Japanese psychiatric hospital acute inpatient care ward. We collected nine predictors at the time of recruitment, followed up with the participants for 12 months, and observed whether psychotic relapse had occurred. Next, we applied the Cox regression model and used an elastic net to avoid overfitting. Then, we examined discrimination using bootstrapping, Steyerberg’s method, and “leave-one-hospital-out” cross-validation. We also constructed a bias-corrected calibration plot.

Results

Data from a total of 805 individuals were analyzed. The significant predictors were the number of previous hospitalizations (HR 1.42, 95% CI 1.22–1.64) and the current length of stay in days (HR 1.31, 95% CI 1.04–1.64). In model development for relapse, Harrell’s c-index was 0.59 (95% CI 0.55–0.63). The internal and internal-external validation for rehospitalization showed Harrell’s c-index to be 0.64 (95% CI 0.59–0.69) and 0.66 (95% CI 0.57–0.74), respectively. The calibration plot was found to be adequate.

Conclusion

The model showed moderate discrimination of readmission after discharge. Carefully defining a research question by seeking needs among the population with chronic schizophrenia with multiple episodes may be key to building a useful model.
The influences of dormitory exercise on negative emotions among quarantined Chinese college students during the COVID-19 pandemic
Authors: Zhang Yu , Wen Zehui , Li Junying , Shi Yongbin , Meng ShuQiao
Published: August 2023

Objectives

This study explores the influences of different types of dormitory exercise on the negative emotions of quarantined Chinese college students during the COVID-19 pandemic.

Methods

In a 3-week intervention, participants self-selected into a rope skipping group (RSG), an aerobic exercise group (AEG), and a resistance exercise group (REG), while participants in the control group (CG) engaged, by choice, in no physical exercise. Exercise frequency was three times a week for 45 min, with an intensity of 60–80% of maximum heart rate. Before and after the intervention, all participants completed the Self-rating Anxiety Scale (SAS) and the Self-rating Depression Scale (SDS). Student’s t-test was used for intra-group comparisons, while ANOVA was used for inter-group comparisons.

Results

Within the three exercise groups, there were some differences in the decrease levels of anxiety and depression, statistically significant at (p < 0.05); by contrast, the levels of anxiety and depression slightly increased in the CG group, again with statistical significance (p < 0.05). Comparing each of the RSG, AEG, and REG with the CG, we found some statistically significant differences in decreasing levels of anxiety and depression (p < 0.05). A comparison of the RSG and REG with the AEG also revealed some significant differences in levels of anxiety and depression (p < 0.05). However, the RSG and REG did not significantly differ in levels of anxiety and depression (p < 0.05).

Conclusion

Long-term and strict dormitory quarantine led to different levels of anxiety and depression among quarantined college students. The three different types of medium-intensity dormitory exercise evidently decreased anxiety and depression levels of quarantined college students, but aerobic exercise had the greatest influence, while rope skipping and resistance exercise had equivalent effects.
Evaluation of the effectiveness of sleep hygiene education and FITBIT devices on quality of sleep and psychological worry: a pilot quasi-experimental study among first-year college students
Authors: Bani Issa Wegdan , Hijazi Heba , Radwan Hadia , Saqan Roba , Al-Sharman Alham , Samsudin A. B. Rani , Fakhry Randa , Al-Yateem Nabeel , Rossiter Rachel C. , Ibrahim Ali , Moustafa Ibrahim , Naja Farah , Alameddine Mohamad , Abbas Nada , Abdelrahim Dana N. , Al-Shujairi Arwa , Awad Manal
Published: August 2023

Background

College students report disturbed sleep patterns that can negatively impact their wellbeing and academic performance.

Objectives

This study examined the effect of a 4-week sleep hygiene program that included sleep education and actigraph sleep trackers (FITBITs) on improving sleep quality and reducing psychological worry without control group.

Design, settings, and participants

A pilot quasi-experimental design, participants were randomly selected medical and health sciences from a university students in the United-Arab-Emirates.

Methods

Students were asked to wear FITBITs and log their daily sleep data and completed the Pittsburgh Sleep Quality Index (PSQI) and Penn State Worry Questionnaire (PSWQ). Extensive sleep hygiene education was delivered via lectures, a WhatsApp group, and the Blackboard platform. In total, 50 students completed pre-and post-assessments and returned FITBIT data.

Results

There was a significant difference in the prevalence of good sleep postintervention compared with pre-intervention (46% vs. 28%; p = 0.0126). The mean PSQI score was significantly lower post-intervention compared with pre-intervention (6.17 ± 3.16 vs. 7.12.87; p = 0.04, Cohen’s d 0.33). After the intervention, subjective sleep quality, sleep latency, and daytime dysfunction were significantly improved compared with pre-intervention (p < 0.05). In addition, FITBIT data showed total sleep time and the number of restless episodes per night were significantly improved postintervention compared with pre-intervention (p = 0.013). The mean PSWQ score significantly decreased from pre-intervention to p = 0.049, Cohen’ d = 0.25. The correlation between PSQI and PSWQ scores was significant post-intervention (β = 0.40, p = 0.02).

Conclusion

Our results may inform university educational policy and curricular reform to incorporate sleep hygiene awareness programs to empower students and improve their sleep habits.
The heterogeneous relationship between public health expenditures and household medical expenditures: evidence from relative poverty households in China
Authors: Li Zhenyu , Yuan Xingzhang , Zhang Zhao , Chu Yuning
Published: August 2023

Exploring the heterogeneous relationship between public health expenditures and household medical expenditures from the perspective of relative poverty has positive significance for improving the ability of relative poverty households to cope with the risk of large rigid expenditures and optimizing the public health resource allocation. This paper uses the China Family Panel Studies (CFPS) from 2016 to 2020 to identify relative poverty standard from the perspective of medical needs, analyzes the impact of public health expenditures on medical expenditures of different household types, and evaluates the effect of public health expenditures on ensuring the medical needs of relative poverty households. The panel threshold regression result shows that 19.36% of the provinces per capita disposable where the household is located is the identification standard of relative poverty households. Public health expenditures have a crowding-in effect on household medical expenditures and have a stronger impact on relative poverty households, an effect that is also confirmed by two-stage least squares regression. In addition, ensuring household medical needs through public health expenditures focuses on the level of basic medical needs, and the role of household healthcare expenditures that reflects high-level medical needs is not obvious. In the future, the government should establish a monitoring mechanism for relative poverty households, ensure the basic medical needs of relative poverty households, and clarify the heterogeneity among different types of households, provide targeted public health services.
Overage labor, intergenerational financial support, and depression among older rural residents: evidence from China
Authors: Chen Yongjie , Wang Kun , Zhao Jinxu , Zhang Zixian , Wang Jiangyin , He Li
Published: August 2023

Background

Depression is a major factor affecting the happiness of older rural residents. With the increasing aging of the Chinese population, overage labor is becoming more prevalent in rural areas of China. This study aimed to assess whether, and if so, how, overage labor affects depression status in older rural residents.

Methods

Using data from the China Health and Retirement Longitudinal Study, this study explored the association between overage labor and depression among older rural residents by using ordinary least squares and moderated mediation models.

Results

The results show that overage labor significantly reduced levels of depression in older rural residents. This result remained robust after using propensity score matching and double machine learning. Furthermore, the improvement of older rural residents' depression via overage labor is mainly achieved through work income, but this mediating effect is negatively moderated by intergenerational financial support. This implies that in traditional Chinese rural society, intergenerational financial support from children plays an important role in reducing depression among older rural residents.

Conclusion

Our findings have potential policy implications for China and other developing countries in terms of addressing issues related to aging and depression in older adults.
On the use of sentiment analysis for linguistics research. Observations on sentiment polarity and the use of the progressive in Italian
Authors: Viola Lorella
Published: August 2023

This article offers a conceptual and methodological contribution to linguistics by exploring the potential value of using sentiment analysis (SA) for research in this field. Firstly, it discusses the limitations and advantages of using SA for linguistics research including the wider epistemological implications of its application outside of its original conception as a product reviews analysis tool. Methodologically, it tests its applicability against an established linguistic case: the correlation between subjective attitudes such as surprise, irritation and discontent and the use of the progressive. The language example is Italian for which this function of the progressive form has not been analyzed yet. The analysis applies FEEL-IT, a state-of-the-art transformer-based machine learning model for emotion and sentiment classification in Italian on language samples from various sources as collected in Evalita-2014 (238,556 words). The results show statistically significant correlations between negative subjective attitudes and the use of the progressive in line with previous accounts in other languages. The article concludes with a few additional propositions for practitioners and researchers using SA.
A framework for equitable virtual rehabilitation in the metaverse era: challenges and opportunities
Authors: Veras Mirella , Labbé David R. , Furlano Joyla , Zakus David , Rutherford Derek , Pendergast Barry , Kairy Dahlia
Published: August 2023

Introduction

Metaverse technology is spurring a transformation in healthcare and has the potential to cause a disruptive shift in rehabilitation interventions. The technology will surely be a promising field offering new resources to improve clinical outcomes, compliance, sustainability, and patients' interest in rehabilitation. Despite the growing interest in technologies for rehabilitation, various barriers to using digital services may continue to perpetuate a digital divide. This article proposes a framework with five domains and elements to consider when designing and implementing Metaverse-based rehabilitation services to reduce potential inequalities and provide best patient care.

Methods

The framework was developed in two phases and was informed by previous frameworks in digital health, the Metaverse, and health equity. The main elements were extracted and synthesized via consultation with an interdisciplinary team, including a knowledge user.

Results

The proposed framework discusses equity issues relevant to assessing progress in moving toward and implementing the Metaverse in rehabilitation services. The five domains of the framework were identified as equity, health services integration, interoperability, global governance, and humanization.

Discussion

This article is a call for all rehabilitation professionals, along with other important stakeholders, to engage in developing an equitable, decentralized, and sustainable Metaverse service and not just be a spectator as it develops. Challenges and opportunities and their implications for future directions are highlighted.
The role of self-endangering cognitions between long-term care nurses' altruistic job motives and exhaustion
Authors: Eder Lara L. , Meyer Bertolt
Published: August 2023

Background

Due to demographic change and staff shortages nurses suffer under high work strain. As a consequence, caregivers' absenteeism due to mental stress, in particular burnout, is high. To explain the development of nurses' burnout more research is needed on nurses' individual resources and coping strategies. Self-endangering is a potentially harmful coping strategy.

Objective

To expand the perspective of the Job Demand-Resources Model by including caregivers' intraindividual resources and the coping construct of self-endangering as a mediator between personal resources and nurses' emotional exhaustion.

Methods

A longitudinal questionnaire survey was conducted between July 2020—March 2021 among nurses in long-term care in Germany. The final analysis sample consisted of wave 1 = 416 and wave 1,2 = 50. Data were analysed by a multiverse analytic strategy using regression analysis with measurement repetition and cross-lagged-panel design for waves one and two. Variables used for regression analysis and cross-lagged-panel were: Independent variables: An altruistic job motivation, team identification and self-esteem, dependent variables: Exhaustion and disengagement, and mediators: Self-endangering cognitions and behavior tendencies.

Results

A highly altruistic job motivation leads to more self-endangering cognitions and to more self-endangering behavior tendencies. Mixed model analysis and cross-sectional path analysis confirmed mediation effects from altruism over self-endangering to exhaustion.

Conclusion

Our findings are at odds with some research findings about altruism in nursing, such that too much altruism can lead to harmful self-endangering. We also introduce a new instrument to capture self-endangering in nursing care. Future research should investigate various facets of self-endangering in nursing. We assume that leadership behavior could have influence on self-endangering. New health policy structures are needed to improve working conditions in nursing and thus prevent self-endangering.
Tuberculosis: insights into latency, treatment strategies, and the potential roles of metronidazole
Authors: Wiker Harald G.
Published: August 2023

Recent studies challenge the traditional belief that latent tuberculosis is a lifelong condition. Analysis of tuberculosis decline in low endemic areas suggests that latency is diminishing, and a significant proportion of individuals likely clear the infection each year. The risk of developing active tuberculosis diminishes over time, highlighting the importance of early intervention for optimal treatment outcomes. The global estimate of latent tuberculosis infection has been revised to approximately 23% of the global population. Latent bacilli undergo mutation and proliferation, contrary to the previous notion of dormancy. Treatment regimens for tuberculosis, particularly multidrug-resistant strains, have improved with the BPaLM regimen. However, current treatment approaches for drug sensitive tuberculosis do not specifically target dormant bacilli, necessitating the development of better protocols. Metronidazole shows potential in killing non-proliferating Mycobacterium tuberculosis, but its clinical effectiveness remains uncertain. Adverse effects and drug interactions of metronidazole should be considered. Alternative treatment options and the role of lung flora in tuberculosis therapy require further investigation. The suitability of metronidazole for this purpose remains open.
Age-associated changes in intestinal health biomarkers in dogs
Authors: Fernández-Pinteño Anna , Pilla Rachel , Manteca Xavier , Suchodolski Jan , Torre Celina , Salas-Mani Anna
Published: August 2023

The gut microbiome is critical for maintaining host health. In healthy humans, the aging process is one of the main factors modulating the changes in the intestinal microbiota. However, little is known about the relationship between gut health, microbiota, and the aging process in dogs. The present study aims to explore the differences in the intestinal microbiota and intestinal health based on fecal biomarkers in a population of dogs of different ages. The study involved 106 dogs of different breeds aged between 0.2 and 15 years categorized as senior (>7 years; n = 40), adult (2–7 years; n = 50), and junior (< 2 years; n = 16). Fecal samples were collected during the same period at the same facilities. The analysis included the following gut health indicators: 16S rRNA gene sequencing to investigate the differences in the fecal microbiota; qPCR to determine the dysbiosis index; fecal short-chain fatty acid concentrations; fecal calprotectin; and immunoglobulin A. Beta diversity analysis revealed a significant difference with a small effect size (p = 0.003; R = 0.087) among age categories based on the unweighted UniFrac metric, but no significance was observed based on the weighted UniFrac metric or Bray–Curtis distances. There were no significant differences in the alpha diversity measures or the fecal dysbiosis index among age categories. Senior dogs had significantly higher relative abundance proportions in phyla Bacteroidota and Pseudomonadota and the genus Faecalibacterium, but not on qPCR analysis. At the family level, Ruminococcaceae, Uncl. Clostridiales.1, Veillonellaceae, Prevotellaceae, Succinivibrionaceae, and Bacteroidaceae abundances were higher in the senior category than in the adult and/or junior categories. Relative proportions, but not concentrations of fecal acetate, were higher in the senior category, while butyrate, isovaleric acid, and valeric acid were lower. The valeric acid concentration was significantly lower in the senior category than in the adult category. Calprotectin and immunoglobulin A levels did not differ significantly across groups. In conclusion, this study observed multiple minor changes in the fecal microbiota composition and the relative amount of short-chain fatty acids in dogs among different age groups, but studies in larger populations representative of all ages are warranted to refine the present results.
Aeroacoustic and Aerodynamic Adjoint-Based Shape Optimization of an Axisymmetric Aero-Engine Intake
Authors: Monfaredi Morteza , Asouti Varvara , Trompoukis Xenofon , Tsiakas Konstantinos , Giannakoglou Kyriakos
Published: August 2023

A continuous adjoint-based aeroacoustic optimization, based on a hybrid model including the Ffowcs Williams–Hawkings (FW–H) acoustic analogy, to account for the multidisciplinary design of aero-engine intakes with an axisymmetric geometry, is presented. To optimize such an intake, the generatrix of its lips is parameterized using B-Splines, and the energy contained in the sound pressure spectrum, at the blade passing frequency at receivers located axisymmetrically around the axis of the engine, is minimized. The engine is not included in the optimization and manifests its presence through an independently computed time-series of static pressure over the annular boundary of the simulation domain that corresponds to the inlet to the fan. Taking advantage of the case axisymmetry, the steady 3D RANS equations are solved in the rotating frame of reference and post-processed to compute the flow quantities’ time-series required by the FW–H analogy. The numerical solution of the unsteady flow equations and the otherwise excessive overall cost of the optimization are, thus, avoided. The objective function gradient is computed using the continuous adjoint method, coupled with the analytical differentiation of the FW–H analogy. The adjoint equations are also solved in the rotating frame via steady solver.
A Study on Thermal Management Systems for Hybrid–Electric Aircraft
Authors: Coutinho Maria , Afonso Frederico , Souza Alain , Bento David , Gandolfi Ricardo , Barbosa Felipe R. , Lau Fernando , Suleman Afzal
Published: August 2023

The electrification of an aircraft’s propulsive system is identified as a potential solution towards a lower carbon footprint in the aviation industry. One of the effects of increased electrification is the generation of a large amount of waste heat that needs to be removed. As high-power systems must be cooled to avoid performance deterioration such as battery thermal runaway, a suitable thermal management system is required to regulate the temperature of the powertrain components. With this in mind, the main objective of this research is to identify promising heat transfer technologies to be integrated into a thermal management system (TMS) such that power, mass, and drag can be minimised for a parallel hybrid–electric regional aircraft in the context of the EU-funded FutPrInt50 project. Five different TMS architectures are modelled using the Matlab/Simulink environment based on thermodynamic principles, heat transfer fundamentals, and fluid flow equations. The systems are a combination of a closed-loop liquid cooling integrated with different heat dissipation components, namely ram air heat exchanger, skin heat exchanger, and fuel. Their cooling capacity and overall aircraft performance penalties under different flight conditions are estimated and compared to each other. Then, a parametric study is conducted, followed by a multi-objective optimisation analysis with the aim of minimising the TMS impact. As expected, none of the investigated architectures exhibit an ideal performance across the range of the studied metrics. The research revealed that, while planning the TMS for future hybrid–electric aircraft, alternative architectures will have to be developed and studied in light of the power requirements.
A Generic Model for Benchmark Aerodynamic Analysis of Fifth-Generation High-Performance Aircraft
Authors: Giannelis Nicholas F. , Bykerk Tamas , Vio Gareth A.
Published: August 2023

This paper introduces a generic model for the study of aerodynamic behaviour relevant to fifth-generation high-performance aircraft. The model design is presented, outlining simplifications made to retain the key features of modern high-performance vehicles while ensuring a manufacturable geometry. Subsonic wind tunnel tests were performed with force and moment balance measurements used to develop a database of experimental validation data for the platform at a freestream velocity of 20 m/s. Numerical simulations are also presented and validated by the experiments and further employed to ensure the vortex behaviour is consistent with contemporary high-performance platforms. A sensitivity study of the computational predictions from the turbulence modelling approach is also presented. This geometry is the first in a suite of representative aircraft geometries (the Sydney Standard Aerodynamic Models), in which all geometries, computational models, and experimental data are made openly available to the research community (accessible via this link: https://zenodo.org/communities/ssam_gen5/) to serve as validation test cases and promote best practices in aerodynamic modelling.
Genome-Wide Identification and Expression Analysis of the CesA/Csl Gene Superfamily in Alfalfa (Medicago sativa L.)
Authors: Sod Bilig , Xu Lei , Liu Yajiao , He Fei , Xu Yanchao , Li Mingna , Yang Tianhui , Gao Ting , Kang Junmei , Yang Qingchuan , Long Ruicai
Published: August 2023

The cellulose synthase (CesA) and cellulose synthase-like (Csl) superfamily encodes critical enzymes involved in processing plant cellulose and hemicellulosic polysaccharides. The alfalfa (Medicago sativa L.) genome was sequenced in recent years, but this superfamily remains poorly understood at the genome-wide level. We identified 37 members of the CesA/Csl family from the alfalfa genome in this study as well as their chromosomal locations and synteny. We uncovered 28 CesA/Csl expressed across all tissues and CslD genes specifically expressed in the root. In addition, cis-acting element analysis showed that CesA/Csl contained several abiotic stress-related elements. Moreover, transcriptomic analysis of alfalfa seedlings demonstrated the involvement of this superfamily in responses to cold, drought, and salt stresses. Specifically, CslD increased expression in cold conditions and decreased under osmotic stress, highlighting its potential role in stress adaptation. The findings offer valuable information for the practical exploration of the functions of CesA/Csl during plant development and the development of enhanced tolerance to different stress conditions.
Optimizing Sericea Lespedeza Fodder Production in the Southeastern US: A Climate-Informed Geospatial Engineering Approach
Authors: Panda Sudhanshu S. , Terrill Thomas H. , Mahapatra Ajit K. , Morgan Eric R. , Siddique Aftab , Pech-Cervantes Andres A. , van Wyk Jan A.
Published: August 2023

Lack of attention to rural healthcare for livestock in the southeastern United States has led to a focus on small ruminant farming, mainly using sericea lespedeza [SL; Lespedeza cuneata (Dum-Cours) G. Don], a drought-resistant forage species with nutraceutical benefits. Climate change has increased land availability for SL cultivation, further expanding the potential of this bioactive (anti-parasitic) legume. This study aims to create a geospatial engineering and technology-assisted model for identifying suitable SL production areas for supporting profitable small ruminant farming. The cultivation of SL depends on specific weather conditions and soil properties, with minimum requirements for temperature and rainfall, non-clay soil with reduced bulk density, and open land cover. The main objective was to develop an automated geospatial model using ArcGIS Pro ModelBuilder to assess SL production suitability. This model also aimed to identify appropriate locations for small ruminant production in Georgia in the southeastern United States, characterized by increasing temperature fluctuations. A web-based geographic information system (webGIS) platform was developed using the ArcGIS Online dashboard interface, allowing agriculturalists to access decision support for SL production suitability tailored to their land. This forage production suitability analysis, conducted in the context of climate change, offers valuable guidance for pasture managers in other nations with similar environmental attributes, promoting global adaptability and resilience.
Do Futures Prices Help Forecast Spot Prices? Evidence from China’s New Live Hog Futures
Authors: Xiong Tao , Li Miao , Cao Jia
Published: August 2023

China, the largest hog producer and consumer globally, has long experienced significant fluctuations in hog prices, partly due to the lack of rational expectations for future hog spot prices. However, on 8 January 2021, China’s first futures in animal husbandry, the live hog futures, were listed on the Dalian Commodity Exchange. To investigate the forecasting performance of the new live hog futures on forthcoming hog spot prices, we developed six futures-based forecasting models and utilized data on daily hog spot and futures prices from January 2021 to March 2023. Our results show that all six models consistently generate more accurate forecasts than the no-change model across six prediction horizons and four accuracy measures, indicating that China’s new live hog futures prices help forecast forthcoming hog spot prices. Among the futures-based forecasting models, futures spread-based models generally produce the best forecasts for one-, two-, three-, and four-month-ahead forecasting, while the simple linear regression using both spot and futures prices is the best for five- and six-month-ahead forecasting. Our results suggest that live hog futures are a promising and practical tool for various stakeholders in China’s hog industry to develop rational expectations for future hog spot prices.
Pretreatment and Bioconversion for Valorization of Residues of Non-Edible Oilseeds
Authors: Castro Eulogio , Strætkvern Knut Olav , Romero-García Juan Miguel , Martín Carlos
Published: August 2023

Biodiesel production currently follows a first-generation model using edible oils as raw materials. Such a production model is unsustainable, considering that it is limited by the high cost of edible oils, competes with the food sector, and is linked to deforestation and other environmental threats. Changing the raw material base to non-edible oils provides an opportunity to increase the sustainability of the biodiesel industry and to avoid conflicts with food production. Processing non-edible oilseeds for extracting the oil to be used for producing biodiesel generates large amounts of residues, such as de-oiled cakes, seed husks, and fruit shells and pods as well as plant stems and leaves resulting from pruning and other agronomy practices. Most of those residues are currently disposed of by burning or used in a suboptimal way. Bioconversion following the sugar platform route, anaerobic digestion, or enzyme production provides means for upgrading them to advanced biofuels and high-added value products. Bioconversion of plant biomass, including oilseed residues, requires pretreatment to enhance their susceptibility to enzymes and microorganisms. This review provides an outlook on bioconversion approaches applicable to different residues of oilseed-bearing plant species. Recent reports on the pretreatment of non-edible oilseed residues for enhancing their bioconversion through either the sugar platform route or anaerobic digestion are critically discussed. This review is based on an exhaustive Web of Science search performed in January–May 2023.
The Influence of Climatic Conditions and Agronomic Practices on Greenhouse Gas Emissions in a Conventional Vineyard (DOCa. Rioja, Spain)
Authors: Rodrigo García Estíbaliz , Murillo Peña Rebeca , Pérez Álvarez Eva Pilar , Garde Cerdán Teresa , Martínez Vidaurre José María
Published: August 2023

Greenhouse gas (GHG) emissions are influenced by physical, chemical, biological, and anthropogenic factors. The objective of the study is to carry out a comprehensive analysis of the emissions of three important agricultural GHGs (CO2, N2O, and CH4) in both rows and alleys of a vineyard (1) and to understand their interactions with the agricultural operations carried out in the experimental plot, namely tillage, inter-row management, application of mineral and organic fertilizers, and irrigation and pruning, as well as the agroclimatic conditions of the plot (2). The study was conducted in a vineyard of Vitis vinifera L. cv. Tempranillo blanco in the DOCa. Rioja grape-growing region, during 2017, 2018, and 2019. Cumulative CO2 emissions were highest in 2018, reaching 934.7 ± 66.5 kg ha−1 day−1 in the alleys and 926.8 ± 76.5 kg ha−1 day−1 in the rows, in agreement with the wetter year and organic matter decomposition at the end of 2017. N2O emissions during the three-year study were mainly affected by mineral fertilizer application, with increases of 41.1 g ha−1 day−1 in the alleys and 49.3 g ha−1 day−1 in the rows during 2018, and 33.1 g ha−1 day−1 in the alleys and 39.6 g ha−1 day−1 in the rows in 2019. Regarding CH4, anaerobic soil conditions in 2018 (the year with the highest rainfall) led to the highest flux of CH4 emissions to the atmosphere, with 215.5 ± 51.0 g ha−1 day−1 in the corridors and 238.4 ± 54.9 g ha−1 day−1 in the rows. This study emphasizes the complex interplay of physical, chemical, biological, and human-related factors affecting GHG emissions in viticultural soils. Understanding these dynamics is essential for developing sustainable vineyard practices that minimize emissions and contribute to climate change mitigation.
Potassium Increases Nitrogen and Potassium Utilization Efficiency and Yield in Foxtail Millet
Authors: Yin Meiqiang , Li Yanfen , Hu Qilin , Yu Xiangjun , Huang Mingjing , Zhao Juan , Dong Shuqi , Yuan Xiangyang , Wen Yinyuan
Published: August 2023

Field experiments were conducted to investigate the effects of K application on the nitrogen and potassium utilization efficiency and yield of foxtail millet (Setaria italica L.). The experiment was performed with a completely randomized design with two millet cultivars (Jingu 21 and Zhangza 10) and five K2O rates (0, 60, 120, 180, and 240 kg/hm2) in 2020 and 2021. We found that K promoted K and N absorption; significantly increased dry matter (DM), N, and K accumulation in millet organs; caused dry matter accumulation to peak earlier; and increased the DM accumulation rate. In addition, K accumulation preceded that of DM or N. Relative to the crop cycle, most K (61.07%) accumulated at booting, whereas N accumulated mostly (33.86%) during grain filling. N absorption efficiency increased by 31.87%, and the apparent and agronomic utilization rate of K fertilizer remained high, increasing millet yield, which peaked at a K rate of 180 kg/hm2 for both cultivars, by 29.91% and 31.51% in Jingu 21 and Zhangza 10, respectively, relative to untreated controls. Stepwise regression and path analysis showed that the leaf and spike K accumulation, stem N accumulation, and stem DM were the main factors affecting yield, with DM having the greatest direct effect, followed by leaf K accumulation. The K concentration (0.77–3.04%) in Zhangza 10 was higher than that in Jingu 21 (0.69–2.91%) in untreated plants. Under the same K application rate, N and K accumulation and the harvest index were higher for Zhangza 10 than those for Jingu 21, and the nutrient utilization ability was greater for Zhangza 10. The results demonstrated that rational K fertilizer application can increase K concentration and accumulation in leaves, promote N metabolism and accumulation, increase N and K utilization efficiency, and improve DM accumulation and millet yield.
Dynamic Maceration of Acerola (Malpighia emarginata DC.) Fruit Waste: An Optimization Study to Recover Anthocyanins
Authors: Cerino María Carolina , Pinela José , Caleja Cristina , Saux Clara , Pereira Eliana , Barros Lillian
Published: August 2023

Acerola (Malpighia emarginata DC.) is a tropical fruit with a vibrant red color attributed to anthocyanins, natural pigments, with several applications in the food, nutraceutical, and cosmetic industries. Therefore, the suitability of acerola fruit waste for producing anthocyanin colorants by dynamic maceration was investigated. The extraction process was optimized by combining the factors time (2–90 min), temperature (20–90 °C), and ethanol percentage (0–100%) in a central composite rotatable design (CCRD) coupled with response surface methodology (RSM). The extraction yield determined by a gravimetric method and the levels of cyanidin-O-deoxyhexoside and pelargonidin-O-deoxyhexoside anthocyanins quantified in the 20 run extracts by HPLC-DAD were used as dependent variables. After fitting the experimental data to a quadratic equation, the obtained statistically valid predictive models were used to determine optimal macerating conditions. Under global settings (25 min processing at 41 °C with 12% ethanol), the extraction yielded 57.1% (w/w) and each gram of extract contained 2.54 mg of anthocyanins. Overall, this study highlights the renewable potential of acerola fruit waste for obtaining natural anthocyanin extracts that could represent a sustainable alternative to artificial colorants used in food and other products.
The Synergistic Effect of Biochar and Microorganisms Greatly Improves Vegetation and Microbial Structure of Degraded Alpine Grassland on Qinghai–Tibet Plateau
Authors: Li Jinsheng , Li Hui , Shang Jianying , Liu Kesi , He Yixuan , Shao Xinqing
Published: August 2023

The attenuation of soil organic carbon and the destruction of soil microbial structure are common manifestations of grassland degradation. The addition of exogenous organic carbon and microorganisms may be an effective way to quickly restore degraded grassland, but corresponding evaluations are still rare. We investigated the effects of effective microorganisms (EM) and biochar addition on vegetation biomass, microorganisms and soil properties in degraded alpine grassland. The treatments included a control (no biochar or EM addition, CK), EM addition (250 mL m−2 EM, M), biochar addition (4.00 kg m−2 biochar, C) and a mixture of biochar and EM (4.00 kg m−2 biochar and 250 mL m−2 EM, C+M). C, M and C+M rapidly increased vegetation biomass, soil organic carbon (TOC), total nitrogen (TN), available nitrogen (NH4+-N, NO3−-N), available phosphorus (AP), total microbial biomass (MB), bacteria and fungus biomass in the soil, and also altered the microbial community structure. The content of soil nutrients in the C treatment was the highest, followed by C+M. The vegetation biomass and microbial biomass were the greatest in the C+M treatment, and increased by 101.04~198.52% and 22.14~45.41%, respectively. C+M can also enhance the presence of saprotrophic fungi, thereby facilitating the augmentation of both plant and soil nutrients. Overall, the biochar combined with EM addition had a synergistic effect on the restoration of degraded alpine grasslands.