bluuebunny/crossref_metadata_2025 huggingface dataset:
Image and text presentation forms in destination marketing: An eye-tracking analysis and a laboratory experiment
Authors: Yang Wei , Chen Qiuxia , Huang Xiaoting , Xie Jiaxin , Xie Mei , Shi Jiamin
Published: December 2022

The COVID-19 pandemic has severely impacted the tourism and hospitality industries worldwide. Tourism destination marketing has been an heated focus in tourism and hospitality academia, it is widely believed that it can promote the revival of industries in the post-pandemic era. But there is a lack of research on different graphic presentation forms in tourism advertisements. To bridge the gap in the related literature, this study aims at studying the impact of the image and text presentation forms of the scenic spot’s name in tourism advertisements on tourists’ visit intention to the tourist destination city by combining the theory of constructivism in cognitive psychology, SOR model, and affective-cognitive model to conduct a 2 × 2 between-group experiment. The study found that when the text part contains the scenic spot’s name, the tourism advertisement has a significant impact on tourists’ perceived advertising effectiveness, destination affective image, and visit intention. The results of eye tracking analysis also showed that fixation points are primarily distributed in the text part. Furthermore, this study explored the chain mediating mechanism of perceived advertising effectiveness and destination affective image and discovered that the impact of the text presentation form on the visit intention can be realized through the mediating effect of perceived advertising effectiveness and destination affective image. This study puts forward some suggestions for the tourism advertising and destination marketing of scenic spots with high-familiarity of destination cities with low-familiarity and improving the image of tourist destination cities.
Gaze following: A socio-cognitive skill rooted in deep time
Authors: Zeiträg Claudia , Jensen Thomas Rejsenhus , Osvath Mathias
Published: December 2022

Social gaze has received much attention in social cognition research in both human and non-human animals. Gaze following appears to be a central skill for acquiring social information, such as the location of food and predators, but can also draw attention to important social interactions, which in turn promotes the evolution of more complex socio-cognitive processes such as theory of mind and social learning. In the past decades, a large number of studies has been conducted in this field introducing differing methodologies. Thereby, various factors influencing the results of gaze following experiments have been identified. This review provides an overview of the advances in the study of gaze following, but also highlights some limitations within the research area. The majority of gaze following studies on animals have focused on primates and canids, which limits evolutionary interpretations to only a few and closely related evolutionary lineages. This review incorporates new insights gained from previously understudied taxa, such as fishes, reptiles, and birds, but it will also provide a brief outline of mammal studies. We propose that the foundations of gaze following emerged early in evolutionary history. Basic, reflexive co-orienting responses might have already evolved in fishes, which would explain the ubiquity of gaze following seen in the amniotes. More complex skills, such as geometrical gaze following and the ability to form social predictions based on gaze, seem to have evolved separately at least two times and appear to be correlated with growing complexity in brain anatomy such as increased numbers of brain neurons. However, more studies on different taxa in key phylogenetic positions are needed to better understand the evolutionary history of this fundamental socio-cognitive skill.
Children's strategies in drop-landing
Authors: Angulo-Barroso Rosa , Ferrer-Uris Blai , Jubany Júlia , Busquets Albert
Published: December 2022

Introduction

Landing is a critical motor skill included in many activities performed in the natural environment by young children. Yet, landing is critically relevance to ensure proper stability and reduce injury. Furthermore, landing is an integral part of many fundamental motor skills which have been linked to greater physical activity, sport participation, and perceived competence in children. Our aim was to examine the drop-landing strategies of young children focusing on the lower extremity with a multi-variant approach.

Methods

Forty-four children divided into four age groups (G1:3–4.5 y, G2:4.5–6 y, G3:6–7.5 y, G4:7.5–9 y) performed 20 drop-land trials in four different conditions: predictable stationary landing, running to the left, to the right, and stay in place. Fifteen reflective markers, two force plates, and ten surface electromyography (sEMG) sensors were used to collect data. MANOVAs (Group x Condition) were conducted separately for the kinematic, kinetic, and sEMG variables.

Results

Only significant group effects were found (kinematic MANOVA p = 0.039, kinetic MANOVA p = 0.007, and sEMG MANOVA p = 0.012), suggesting that younger groups (G1, G2) differed to the older groups (G3, G4). G1 showed less knee flexion and slower ankle dorsi-flexion during the braking phase compared to G3, while G2 presented smaller ankle dorsi-flexion at the braking phase and smaller ankle range of motion than G3. Overall kinetic variables analysis showed a group difference but no group differences for any single kinetic variable alone was found. Regarding sEMG, G1 during the flight phase exhibited longer tibialis anterior and hamstrings activity than G3 and G3 & G4, respectively; and an earlier start of the hamstrings' impact burst than G4. In addition, distal to proximal control was primarily used by all groups to coordinate muscle activity (in response to impact) and joint motion (after impact).

Discussion

Perhaps a developmental critical point in landing performance exists at 4–5 years of age since G1 presented the largest differences among the groups. This suggests that to improve landing strategies could start around this age. Future studies should examine if playground environments that include equipment conducive to landing and practitioners in the kindergarten schools are adequate vehicles to empower this type of intervention.
The association between physical activity and mental health in medical postgraduates in China during COVID-19 pandemic
Authors: Yue Cai-Ling , Ge Xing , Liu Man , Zhang Beibei , Koda Stephane , Yan Chao
Published: December 2022

Background

Chinese medical postgraduates (CMPs) are a special subpopulation that has a great risk of mental health due to high workload, and heavy academic and clinical pressure during the COVID-19 pandemic. Physical activity has been demonstrated to be positive for the mental health of human being. However, little is known about the risks to mental health among CMPs as well as the potential effects of physical activity on mental health in CMPs during the COVID-19 pandemic.

Aims

In the present study, the aims are to (1) investigate the levels of PA and mental health that CMPs had; (2) to identify the potential factors that contribute to mental health among CMPs; (3) to explore the potential effects of PA on the mental health in CMPs.

Methods

The survey was conducted online across 25 provinces of mainland China in 28 medical colleges or universities with structured questionnaires. Physical Activity Rating Scale-3 (PARS-3), Depression, Anxiety, Stress Scales (DASS-21), and General Self-Efficacy Scale (GSES) were employed to assess the levels of PA, Negative emotional states, and self-efficacy of the participants, respectively. Resilience was evaluated using Connor-Davidson Resilience Scale (CD-RISC). The chi-square and Wilcoxon rank-sum tests were used to compare inter-group differences in demographic data and mental health conditions. Spearman's rank correlation test and partial correlation analysis were used to assess associations between exercise scores and mental health.

Results

We found some socio-demographic variables such as the location, education levels of parents and the levels of degrees they are training had potential effects on outcomes of mental health among 2,217 CMPs (P < 0.05); furthermore, we also found that PA was negatively correlated with the negative emotion (r = −0.045, P < 0.05) such as depression (r = −0.052, P < 0.05), anxiety and stress, (r = −0.051, P < 0.05) but positively correlated with the self-efficacy (r = 0.143, P < 0.001) and resilience (r = 0.192, P < 0.001) among Chinese postgraduate medical students.

Conclusion

We concluded that for Chinese postgraduate medical students, taking part in physical activity would depress negative emotions such as depression, anxiety, and stress, but improve their self-efficacy and resilience, which will benefit them in completing their studies and training.
Awe weakens the AIDS-related stigma: The mediation effects of connectedness and empathy
Authors: Luo Li , Yang Dong , Tian Yu , Gao Wei , Yang Jiemin , Yuan Jiajin
Published: December 2022

Stigma toward people with HIV or AIDS produces significant harms to their life and also hinders the prevention of AIDS. In the present study, we tested whether awe can weaken AIDS-related stigma and the mediating role of connectedness and empathy between them through a cross-sectional study (Study 1,N= 372) and two experimental studies (Study 2a and 2b,N= 110 andN= 180, respectively). Results showed that awe reduced AIDS-related stigma (Study 2a and 2b),viathe serial mediation of connectedness and empathy (Study 1 and 2b). These findings suggest that the experience of awe increases one’s connectedness to the world, which then enhances empathy and decreases AIDS-related stigma. This study expands our understanding of the relationship between awe and stigma, providing empirical basis for decreasing social prejudice to others.
COVID-19 vaccine hesitancy in conflict zones: A review of current literature
Authors: Siddiqui Amna , Priya  , Adnan Alishba , Abbas Samina , Qamar Khulud , Islam Zarmina , Rahmat Zainab Syyeda , Essar Mohammad Yasir , Farahat Ramadan Abdelmoez
Published: December 2022

Background

Vaccine hesitancy (VH) is prevalent in conflict zones due to a lack of essential resources and knowledge, thereby escalating the coronavirus disease of 2019 (COVID-19) cases in these territories. This has resulted in a higher incidence of cases from exposure to a single COVID-19 positive case and further burdens the health care system of conflict zones which are already on the brink of collapsing.

Aim

This narrative review aims to determine VH to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine in five conflict zones that include Somalia, Yemen, Palestine, Syria, and Afghanistan.

Methodology

A Boolean search was carried out in MEDLINE-PubMed from inception till 6 June 2022. The search was performed by using the following keywords: “(SARS-CoV-2 OR covid OR covid 19) AND (vaccine hesitancy OR covid vaccine acceptance OR intention to vaccinate) AND (Syria OR Yemen OR Palestine OR Afghanistan OR Somalia”). The full text of all relevant articles in English along with their supplementary material was extracted.

Results

All the included studies reported at least 30% or more increase in vaccine hesitancy among conflict settings. VH was mostly due to a lack of available resources, lack of appropriate knowledge, and believing misleading rumors about the vaccine.

Discussion

Considering the massive amount of reluctance among people residing in conflict zones, the need to take effective measures against VH is undoubtedly apparent. This can be accomplished by carrying out mass vaccinations by the governments and proper health education through raising the public awareness regarding vaccines, thereby eliminating rumors that exacerbate the fear of adverse effects.

Conclusion

The approach described in this article to combat VH can be implemented to increase vaccination rates and significantly alleviate R0 across the globe.
Intersections of the arts and art therapies in the humanization of care in hospitals: Experiences from the music therapy service of the University Hospital Fundación Santa Fe de Bogotá, Colombia
Authors: Ettenberger Mark , Calderón Cifuentes Nayibe Paola
Published: December 2022

Humanization of care is becoming an increasingly important aspect in providing high-quality health services and the arts are more and more implemented to support and foster humanization and person-centered care efforts. Musical experiences are one of the most frequently encountered art forms in medical settings. Music therapy as a healthcare profession has a decades-long tradition in hospitals, both in inpatient and outpatient areas. However, while studies regarding the effectiveness of music therapy are on the forefront of clinical research, little attention has been paid to the profession's inherent opportunities to assist the hospitals' strategies in terms of humanization of care. Yet, the musical experiences in music therapy are especially versatile in supporting healthcare users from a holistic perspective, contributing to a more compassionate, personalized, and humanized environment. In this article, the basic pillars of humanized and person-centered care will be outlined, followed by examples of seven intersections in which the music therapy service of the University Hospital Fundación Santa Fe de Bogotá aligns with its Humanized and Compassionate Care Model. The aim of this article is to stimulate the discussion on music therapy not only as a profession that provides safe and effective treatment, but also as a therapeutic art experience that can add value for hospitals on their path toward a more humanized care culture.
Chronic disease burden among Latino farmworkers in California
Authors: Matias Susana L. , French Caitlin D. , Gomez-Lara Alexander , Schenker Marc B.
Published: December 2022

Farmworkers are an essential workforce to maintain California's extensive agricultural production. However, this mostly Latino, immigrant population is affected by high poverty rates and food insecurity, which increases their risk of chronic diseases. We analyzed clinical and interview data from three studies of Latino farmworkers in California: (1) the Mexican Immigration to California: Agricultural Safety and Acculturation (MICASA) study, (2) the PASOS SALUDABLES pilot intervention (PASOS Pilot), and (3) the PASOS Study, a cluster-randomized, controlled trial (PASOS RCT). We aimed to determine the prevalence of diet-related chronic health outcomes (obesity, elevated waist circumference, high blood pressure, and high total cholesterol) and identify sociodemographic and socioeconomic factors associated with these conditions in this population. A total of 1,300 participants were included in this study (452 from MICASA, 248 from PASOS Pilot, and 600 from PASOS RCT). Obesity prevalence ranged from 29.2 to 54.5% across samples; elevated waist circumference was observed in 29.4–54.0% of participants; high blood pressure was detected in 42.0–45.5% of participants; 23.7–25.8% of participants had high total cholesterol. Age was positively associated with each health outcome, although not for each sample; each additional year in age increased odds by 3–9%, depending on the outcome and sample. Females were at higher risk of obesity (one sample) and elevated waist circumference, but at lower risk of high blood pressure and high total cholesterol. Single, divorced or widowed participants (vs. married/living together) had 35 and 47% reduced odds of obesity and elevated waist circumference, respectively. Each additional year living in the US was associated with 3–6% increased odds of obesity, depending on the sample. Higher household income was associated with a reduction in odds of high total cholesterol up to 76% (one sample). These findings highlight the increased risk of chronic health conditions in Latino farmworkers, in particular for obesity, and among farmworkers who may lack access to health care, which represents a large proportion of this population. Differences in chronic health risks by sex suggest that clinical and public health responses might need to be sex-specific. Expansion of eligibility for supplemental nutrition programs for this low-income population could reduce their disease burden.
Impact of impaired cerebral blood flow autoregulation on cognitive impairment
Authors: Wang Shaoxun , Tang Chengyun , Liu Yedan , Border Jane J. , Roman Richard J. , Fan Fan
Published: December 2022

Although the causes of cognitive impairment are multifactorial, emerging evidence indicates that cerebrovascular dysfunction plays an essential role in dementia. One of the most critical aspects of cerebrovascular dysfunction is autoregulation of cerebral blood flow (CBF), mainly mediated by the myogenic response, which is often impaired in dementia individuals with comorbidities, such as diabetes and hypertension. However, many unsolved questions remain. How do cerebrovascular networks coordinately modulate CBF autoregulation in health and disease? Does poor CBF autoregulation have an impact on cognitive impairment, and what are the underlying mechanisms? This review summarizes the cerebral vascular structure and myogenic (a three-phase model), metabolic (O2, CO2, adenosine, and H+), and endothelial (shear stress) factors in the regulation of CBF; and the consequences of CBF dysautoregulation. Other factors contributing to cerebrovascular dysfunction, such as impaired functional hyperemia and capillary abnormalities, are included as well. Moreover, this review highlights recent studies from our lab in terms of novel mechanisms involved in CBF autoregulation and addresses a hypothesis that there is a three-line of defense for CBF autoregulation in the cerebral vasculature.
A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine
Authors: Shen John , Ghatti Siddharth , Levkov Nate Ryan , Shen Haiying , Sen Tanmoy , Rheuban Karen , Enfield Kyle , Facteau Nikki Reyer , Engel Gina , Dowdell Kim
Published: December 2022

Since 2019, the COVID-19 pandemic has had an extremely high impact on all facets of the society and will potentially have an everlasting impact for years to come. In response to this, over the past years, there have been a significant number of research efforts on exploring approaches to combat COVID-19. In this paper, we present a survey of the current research efforts on using mobile Internet of Thing (IoT) devices, Artificial Intelligence (AI), and telemedicine for COVID-19 detection and prediction. We first present the background and then present current research in this field. Specifically, we present the research on COVID-19 monitoring and detection, contact tracing, machine learning based approaches, telemedicine, and security. We finally discuss the challenges and the future work that lay ahead in this field before concluding this paper.
Task-specific robot base pose optimization for robot-assisted surgeries
Authors: Sundaram Ashok M. , Budjakoski Nikola , Klodmann Julian , Roa Máximo A.
Published: December 2022

Preoperative planning and intra-operative system setup are crucial steps to successfully integrate robotically assisted surgical systems (RASS) into the operating room. Efficiency in terms of setup planning directly affects the overall procedural costs and increases acceptance of RASS by surgeons and clinical personnel. Due to the kinematic limitations of RASS, selecting an optimal robot base location and surgery access point for the patient is essential to avoid potentially critical complications due to reachability issues. To this end, this work proposes a novel versatile method for RASS setup and planning based on robot capability maps (CMAPs). CMAPs are a common tool to perform workspace analysis in robotics, as they are in general applicable to any robot kinematics. However, CMAPs have not been completely exploited so far for RASS setup and planning. By adapting global CMAPs to surgical procedure-specific tasks and constraints, a novel RASS capability map (RASSCMAP) is generated. Furthermore, RASSCMAPs can be derived to also comply with kinematic access constraints such as access points in laparoscopy. RASSCMAPs are versatile and applicable to any kind of surgical procedure; they can be used on the one hand for aiding in intra-operative experience-based system setup by visualizing online the robot’s capability to perform a task. On the other hand, they can be used to find the optimal setup by applying a multi-objective optimization based on a genetic algorithm preoperatively, which is then transfered to the operating room during system setup. To illustrate these applications, the method is evaluated in two different use cases, namely, pedicle screw placement in vertebral fixation procedures and general laparoscopy. The proposed RASSCMAPs help in increasing the overall clinical value of RASS by reducing system setup time and guaranteeing proper robot reachability to successfully perform the intended surgeries.
A mixed-methods, exploratory, quasi-experimental evaluation of a radio drama intervention to prevent age-disparate transactional sex in Tanzania
Authors: Pichon Marjorie , Carter Daniel J , Howard-Merrill Lottie , Sono Revocatus , Gimunta Veronicah , Rutenge Oscar , Thiaw Yandé , Stoebenau Kirsten , Perrin Nancy , Buller Ana Maria
Published: December 2022

Introduction

Age-disparate transactional sex (ADTS) is associated with HIV, unintended pregnancy, school dropout and violence, yet few interventions have successfully prevented it, and none have set ADTS prevention as their primary outcome. This exploratory evaluation aimed to assess indications of change after exposure to the Learning Initiative on Norms, Exploitation and Abuse (LINEA) intervention, a mass-media, gender-transformative social norms intervention aimed at preventing ADTS in Tanzania.

Methods

In a condensed implementation 331 participants were instructed to listen to the LINEA radio drama over seven weeks, and 60 were randomly allocated to household discussion sessions about content. In-depth interviews (n = 81) from girls aged 12–16 years, and women and men caregivers were collected at baseline (September 2021), midline (November) and endline (December 2021). Surveys were conducted (n = 120) at baseline and endline using the Norms and Attitudes on ADTS Scale (NAATSS) and the Gender Roles and Male Provision Expectations (GRMPE) scale. Interviews were thematically analyzed using a framework approach. Age-stratified linear regression models adjusted for baseline scores were used to measure association between the intervention and endline scale scores.

Results

Longitudinal data were available from 59 qualitative (73%) and 95 quantitative participants (79%). Qualitative evidence revealed the drama facilitated family conversations about adolescent challenges, allowing caregivers to advise daughters. Some girls gained confidence to refuse men's gifts, learning that accepting them could necessitate sexual reciprocation. Some caregivers felt increased responsibility for supporting girls in the community to avoid ADTS. Blame for ADTS shifted for some from girls to men, suggesting increased understanding of inequitable power dynamics and reductions in victim blaming. Marginal quantitative evidence revealed that highly exposed girls had improved gender equitable beliefs on the GRMPE (β = −6.26; 95% CI: −12.94, 0.42). Moderately exposed men had increased gender inequitable norms on the NAATSS subscale (β = 0.42 95% CI: 0.05, 0.79), but there was no effect in highly exposed men.

Conclusions

Given the small sample results should be interpreted cautiously. Our initial findings indicate high engagement with the LINEA intervention shows promise in shifting knowledge, behaviors, and attitudes, beliefs and social norms driving ADTS in Shinyanga, Tanzania, supporting a robust impact evaluation.
Why Are the Eastern Margins of Ocean Basins Full of Fish?
Authors: Miller Sara , Lopera Luisa , Bracco Annalisa
Published: December 2022

At the eastern side of the Atlantic and Pacific Oceans, Earth’s rotation combined with winds blowing toward the equator push water away from the coasts. Deep ocean water rises to replace what was pushed away, in a process called upwelling. The colder, deep water that rises to the surface is rich in nutrients and oxygen, and it supports healthy ecosystems. That is, upwelling in coastal oceans equals lots of fish! There are four coastlines where upwelling is crucial, known as eastern boundary upwelling systems (EBUS for short). These regions cover <3% of the world’s ocean area, but they are responsible for 20% of the global fish catch. EBUS change constantly along with Earth’s changing climate. Given their extraordinary biological productivity, it is very important to understand how global warming may impact EBUS. In this article, we describe what EBUS are and discuss how climate change may affect them and the fish populations in their ecosystems.
The change in children's subjective relational social cohesion with family and friends during the COVID-19 pandemic: A multinational analysis
Authors: Nahkur Oliver , Kutsar Dagmar
Published: December 2022

As a response to the COVID-19 pandemic, social-distancing measures have been implemented worldwide, including school closures. Previous studies indicated that children's relational social cohesion with family (RSC-Fa) and friends (RSC-Fr) may have decreased during the pandemic, but some children described that positive experiences were gained from the confinement measures of social distancing. Mostly, these studies are qualitative or capture a single country and have an exploratory character. Using data collected in 2021 of more than 20,000 children primarily aged 9–13 years as part of the International Children's Worlds COVID-19 Supplement Survey from 18 countries (Germany, Turkey, Bangladesh, Italy, Albania, Romania, Chile, Wales, Taiwan, Belgium, Algeria, Israel, Russia, South Korea, Indonesia, Estonia, Finland, and Spain), this study aimed to examine how the COVID-19 pandemic has affected children's RSC-Fa and RSC-Fr and explore the role of relational factors. RSC-Fa and RSC-Fr are measured through satisfaction in relationships with family members and friends before and during the COVID-19 pandemic, respectively. We employed descriptive statistics, cluster analysis, and multinomial logistic regression analysis. Our analyses confirmed the decrease in RSC-Fa and RSC-Fr, with a noticeably bigger decrease in RSC-Fr. Five profiles of change in RSC emerged: (1) gainers in both RSC; (2) gainers in RSC-Fa and decliners in RSC-Fr; (3) no change in either RSC; (4) decliners in RSC-Fa and gainers in RSC-Fr; and (5) decliners in both RSC. The quantity and quality of children's relationships differ by their profiles of change in RSC. For example, it was significantly more likely that “decliners in both RSC” had to be at home all day because of COVID-19 than “gainers in both RSC” or “no changers.” Mainly, the quantity of relationship factors, and among different quality factors, only autonomy perceptions, help to explain the children belonging to the “gainers in both RSC” profile compared to the “no changers.” Meanwhile, almost all the quantity and quality of relationships factors help to explain children's belonging to the “decliners in both RSC” profile compared to “no changers.” In conclusion, our study confirmed the importance of keeping schools open to protect the RSC of children.
Calla lily production in enrofloxacin-contaminated soil and manure: An attractive alternative coupling income generation with antimicrobial removal from the environment
Authors: Rocha Camila da Silva , Kochi Leticia Yoshie , Brito Júlio Cesar Moreira , Maranho Leila Teresinha , Carneiro Daniella Nogueira Moraes , Reis Michele Valquíria dos , Gauthier Alexandre , Juneau Philippe , Gomes Marcelo Pedrosa
Published: December 2022

Enrofloxacin (Enro) is often detected in soil and animal manure used for crop production and phytotoxic responses have been observed in plants grown under antimicrobial presence. In the present paper, we investigated the effects of the presence of Enro in soils (1.9 mg kg-1) and manure (50.4 mg kg-1) in growth and flower production of calla lily plants (Zantedeschia aethiopica). We also reported the accumulation and distribution of Enro between plant tissues aiming to evaluate the safety of commercializing plants produced under Enro-contaminated conditions. The presence of Enro in soils and manure did not affect plant growth and flower production and did not induce any physiological effects in plants (as evaluated by photosynthetic pigment, hydrogen peroxide concentration, superoxide dismutase and catalase activity in leaves). Plants accumulated Enro mainly in their roots, restraining its translocation to shoots, which contributes to the safety of the commercialization of their flowers. However, when commercialized as pots, the amount of Enro carried by plants is a matter of concern, and therefore, selling pot plants must be avoided. Due to their tolerance and capacity to remove Enro (up to 14.76% of Enro from contaminated soil and/or manure), plants are indicated for phytoremediation programs.
Plantain flour: A potential anti-obesity ingredient for intestinal flora regulation and improved hormone secretion
Authors: Fu Jinfeng , Xiao Junxiu , Tu Shiyun , Sheng Qianru , Yi Ganjun , Wang Juan , Sheng Ou
Published: December 2022

Introduction

Development of functional food ingredients with anti-obesity is a growing interest in the global food industry. Plantain (Musa spp. AAB), a special type of cooking/starchy banana, is widely growing in African and Latin American countries. The flour made from unripe plantain pulp, which is considered as a natural source of indigestible carbohydrates such as resistant starch (RS), could be used in the formulation of diverse functional foods due to its anti-obesity properties. However, the mechanisms underlying the anti-obesity properties of plantain flour are not explored.

Methods

In this study, we investigated the changes in serum hormone levels, liver transcriptome profiles, and the modulation of gut microbiota in high-fat-fed Sprague-Dawley (SD) rats. The male SD rats were divided into six groups, viz. two control groups [non-obese (NC) or obese (OC)] which were not given the supplementation, one positive control (PC) group which received orlistat supplementation (60 mg/kg body weight/day), and three groups of obese rats which were supplemented with unripe plantain flour (UPF) at a dosage (body weight/day) of 1.25 g/kg (low-dose, LD), 2.50 g/kg (intermediate-dose, MD) or 5.0 g/kg (high-dose, HD).

Results and discussion

It was found that UPF supplementation could lower the insulin levels of the obese rats. Moreover, UPF supplementation had a positive impact on gut microbiota, decreasing the relative abundances of Blautia, Parasutterella and Fusicatenibacter which were closely related to obesity, and increasing the relative abundances of probiotics (Allobaculum, Romboutsia, Staphylococcus, and Bacteroides). The spearman correlation analysis revealed that UPF supplementation reduced the relative abundance of Parasutterella and possibly decreased the blood sugar levels, leading to a decrease in the relative abundances of Blautia and Fusicatenibacter and a subsequent decrease in insulin levels. Furthermore, transcriptomic analysis of the liver tissues displayed that the peroxisome proliferator activated receptor-1α (PPAR) and AMP-activated protein kinase (AMPK) signaling pathway genes (Pparaa, Cpt1a, Prkaa1, Prkab1, Prkaa2, and Ppargc1a) were upregulated in those groups supplemented with UPF. These results indicated that UPF could mediate the glucolipid metabolism in the obese rats. Taken together, our findings suggested that the anti-obesity properties of UPF could be achieved by decreasing the insulin levels, positive-regulating of the gut microbiota composition as well as altering gene expression related to glucolipid metabolism.
Can the use of digital technology improve the cow milk productivity in large dairy herds? Evidence from China's Shandong Province
Authors: Qi Yuwen , Han Jiqin , Shadbolt Nicola M. , Zhang Qing
Published: December 2022

Introduction

Improving milk productivity is essential for ensuring sustainable food production. However, the increasing difficulty of supervision and management, which is associated with farm size, is one of the major factors causing the inverse relationship between size and productivity. Digital technology, which has grown in popularity in recent years, can effectively substitute for manual labor and significantly improve farmers' monitoring and management capacities, potentially addressing the inverse relationship.

Methods

Based on data from a survey of farms in Shandong Province in 2020, this paper employs a two-stage least squares regression model to estimate the impact of herd size on dairy cow productivity and investigate how the adoption of digital technology has altered the impact of herd size on dairy cow productivity.

Results

According to the findings, there is a significant and negative impact of herd size on milk productivity for China's dairy farms. By accurately monitoring and identifying the time of estrus, coupled with timely insemination, digital technology can mitigate the negative impact of herd size on milk productivity per cow.

Discussion

To increase dairy cow productivity in China, the government should promote both small-scale dairy farming and focus on enhancing management capacities of farm operators, as well as large-scale dairy farms and increase the adoption of digital technologies.
Systemizing a rural livelihood diversification framework for sustainable community-based agritourism: A participatory approach to ensure resilience
Authors: Cavalleri Sofia Anna Enrica , Tanwattana Puntita , Grünbühel Clemens M.
Published: December 2022

Introduction

Situated approaches of rural livelihood diversification, such as community-based agritourism, can localize sustainable food systems at the regional level. This research advances an integrated framework of indicators to assess the interdisciplinary benefits of rural livelihood diversification practices for sustainable local food systems and community resilience.

Methods

We built a framework on four dimensions deducted from secondary data: (1) environmental, (2) sociocultural, (3) economic, and (4) health. These were validated with an inductive analysis of primary data, which we collected from a panel of experts with a content validity index and tested in three rural case studies with shadow observation and qualitative interviews. We conducted both in-depth interviews with community leaders (n = 10) and semi-structured interviews with multi-sectoral stakeholders (n = 40).

Results

Findings (1) identify a comprehensive list of indicators to assess environmental, sociocultural, economic, and health dimensions of rural livelihood diversification practices and (2) advance a participatory approach to prioritize indicators according to their regional relevance (co-developed with stakeholders involved in Bangkok's local food systems). Food tourism connects the four dimensions by (1) preserving local agrobiodiversity (2) preserving rural communities' traditions (3) creating new capacity building opportunities for community-driven socio-economic development and (4) recognizing the health benefits of indigenous foods.

Discussion

This study contributes to a value-added conceptualization of community-based agritourism as a rural livelihood diversification practice. Such research effort highlights the importance of co-producing and ground-truthing indicators for rural livelihood diversification practices localizing sustainable development goals.
Learning from 2D: Machine learning of 3D effective properties of heterogeneous materials based on 2D microstructure sections
Authors: Hu Guangyu , Latypov Marat I.
Published: December 2022

Microstructure—property relationships are key to effective design of structural materials for advanced applications. Advances in computational methods enabled modeling microstructure-sensitive properties using 3D models (e.g., finite elements) based on microstructure representative volumes. 3D microstructure data required as input to these models are typically obtained from either 3D characterization experiments or digital reconstruction based on statistics from 2D microstructure images. In this work, we present machine learning (ML) approaches to modeling effective properties of heterogeneous materials directly from 2D microstructure sections. To this end, we consider statistical learning models based on spatial correlations and convolutional neural networks as two distinct ML strategies. In both strategies, models are trained on a dataset of synthetically generated 3D microstructures and their properties obtained from micromechanical 3D simulations. Upon training, the models predict properties from 2D microstructure sections. The advantage of the presented models is that they only need 2D sections, whose experimental acquisition is more accessible compared to 3D characterization. Furthermore, the present models do not require digital reconstruction of 3D microstructures.
Enhancing passive surveillance for African swine fever detection on U.S. swine farms
Authors: Schambow Rachel , Colin Yoder , Dave Wright , Schettino Daniella N. , Perez Andres M.
Published: December 2022

As the threat of African swine fever (ASF) introduction into new areas continues, animal health officials and epidemiologists need novel tools for early detection and surveillance. Passive surveillance from swine producers and veterinarians is critical to identify cases, especially the first introduction. Enhanced passive surveillance (EPS) protocols are needed that maximize temporal sensitivity for early ASF detection yet are easily implemented. Regularly collected production and disease data on swine farms may pose an opportunity for developing EPS protocols. To better understand the types of data regularly collected on swine farms and on-farm disease surveillance, a questionnaire was distributed in summer 2022 across multiple channels to MN swine producers. Thirty responses were received that indicated the majority of farms collect various types of disease information and conduct routine diagnostic testing for endemic swine diseases. Following this, a focus group discussion was held at the 2022 Leman Swine Conference where private and public stakeholders discussed the potential value of EPS, opportunities for collaboration, and challenges. The reported value of EPS varied by stakeholder group, but generally participants felt that for swine producers and packers, EPS would help identify abnormal disease occurrences. Many opportunities were identified for collaboration with ongoing industry initiatives and swine management software. Challenges included maintaining motivation for participation in ASF-free areas, labor, data sharing issues, and the cost of diagnostic testing. These highlight important issues to address, and future collaborations can help in the development of practical, fit-for-purpose, and valuable EPS protocols for ASF detection in the swine industry.
A Novel Fuzzy-SAE Control Method for an Improved Test Wind Tunnel Simulating Sand/Dust Environment
Authors: Li Ke , Li Yuangan , Ma Liang , Liu Meng , Wang Jun
Published: December 2022

The sand/dust environment is an important cause of aircraft failure. A sand/dust environment simulation experiment must be devised to meet the standard technical requirements. Therefore, this article designs the control system for a sand/dust environment test tunnel, including a wind speed control system and a pneumatic conveying and concentration control system. A fuzzy intelligent control method and a deep neural network are used to track and control experimental parameters. Compared to the classic PID algorithm, this method achieves smaller overshoot, faster response speed, no steady error and a better dynamic response curve, as demonstrated by both the test result in the wind tunnel and a simulation result. Both the classic PID control method and the high-precision fuzzy control method are fast, stable, and robust. The fuzzy-SAE intelligent control method not only has the high accuracy of the classic PID control method but also has the high speed, stability, and robustness of fuzzy control, which can meet the intelligent control requirements of the sand/dust environment test equipment.
Red Light Emitting Transition Metal Ion Doped Calcium Antimony Oxide for Plant Growth Lighting Applications
Authors: Bharat Lankamsetty Krishna , Patnam Harishkumarreddy , Sokolov Alexander , Gudkov Sergey V. , Yu Jae Su
Published: December 2022

In this work, we synthesized Mn4+-doped CaSb2O6 phosphors using the conventional solid-state reaction method for plant growth lighting applications. The morphological, structural, and optical properties were analyzed based on the results obtained from scanning electron microscope, X-ray diffraction, and spectrophotometer. The results of the spectrophotometer illustrate that the phosphors showed a red emission band in 550–800 nm wavelength range with peak maxima at 642 nm. The red emission in these phosphors is attributed to the 2Eg → 4A2g transition of Mn4+ ions. The emission intensity is increased with the doping of a charge compensator. The emission range of the phosphor covers the absorption range of photosynthetic pigments such as chlorophyll a, chlorophyll b, phytochrome Pr, and phytochrome Pfr. The results signify that the prepared phosphor materials are suitable candidates for application in plant growth lighting.
Deep Learning-Based Weed Detection in Turf: A Review
Authors: Jin Xiaojun , Liu Teng , Chen Yong , Yu Jialin
Published: December 2022

Precision spraying can significantly reduce herbicide input for turf weed management. A major challenge for autonomous precision herbicide spraying is to accurately and reliably detect weeds growing in turf. Deep convolutional neural networks (DCNNs), an important artificial intelligent tool, demonstrated extraordinary capability to learn complex features from images. The feasibility of using DCNNs, including various image classification or object detection neural networks, has been investigated to detect weeds growing in turf. Due to the high level of performance of weed detection, DCNNs are suitable for the ground-based detection and discrimination of weeds growing in turf. However, reliable weed detection may be subject to the influence of weeds (e.g., biotypes, species, densities, and growth stages) and turf factors (e.g., turf quality, mowing height, and dormancy vs. non-dormancy). The present review article summarizes the previous research findings using DCNNs as the machine vision decision system of smart sprayers for precision herbicide spraying, with the aim of providing insights into future research.
Mitochondrial DNA and Microsatellite Analyses Showed Panmixia between Temporal Samples in Endangered Anguilla japonica in the Pearl River Basin (China)
Authors: Zhong Zaixuan , Zhu Huaping , Fan Jiajia , Ma Dongmei
Published: December 2022

The Japanese eel (Anguilla japonica) is a commercially important species in East Asia, the abundance of which has rapidly decreased in recent decades. The fishery resource in the Pearl River basin has mainly deteriorated due to overexploitation and habitat degradation. Knowledge on its genetic status is indispensable for resource management. In this study, we explored the temporal genetic structure of A. japonica on the basis of the concatenated sequences of two mitochondrial fragments (mtDNA) and eight microsatellite markers. A total of nine temporal samples (N = 127) were collected during 2019 and 2021 from Jiangmen City, China, which is located in the Pearl River estuary. mtDNA sequence analysis showed a high level of haplotype diversity, and yielded 124 haplotypes with ranging from 9 to 19 in temporal samples. All microsatellite loci were polymorphic among each of the nine temporal samples, with 150 alleles identified across all samples. Pairwise FST values were low and nonsignificant according to both mtDNA and microsatellite markers. STRUCTURE analysis showed that all temporal samples were not clearly differentiated from each other. The yielded outcomes supported a panmictic pattern in different temporal A. japonica samples. Therefore, our results call for the management of A. japonica as a single unit and joint conservation strategy of the species, since overexploitation in any region will decrease its global resource.
Impacts of the Wild Boar (Sus scrofa) on the Livelihood of Rural Communities in Pakistan and Understanding Public Attitudes towards Wild Boars
Authors: Khattak Romaan Hayat , Teng Liwei , Mehmood Tahir , Ahmad Shakeel , Liu Zhensheng
Published: December 2022

Conservation goals can only be best achieved when there is firm support and cooperation from locals, especially in emerging economies where poor communities often bear most of the cost of human–wildlife conflicts (HWCs). In this study, we explored the economic losses caused by wild boars in two districts, i.e., the Peshawar district and the Nowshera district, in north-western Pakistan. Between May and June 2022, 589 respondents from 53 villages were interviewed. The results revealed that the wild boar was chiefly involved in crop raiding, causing an annual economic loss of USD 12,030 (USD 20.42/household). The highly raided crops included maize (40.24%), followed by wheat (24.95%), vegetables (22.65%), and sugarcane (6.29%). Wild boars were also held accountable for orchard damages. Most people consider the wild boar a common species in the area and want it completely eliminated. We believe that the increasing wild boar population is alarming and should be noticed. The government should collaborate with the local communities to use innovative methods to deter wild boars. Compensation schemes for crop damages should be launched. Moreover, the regular investigation of the wild boar population size and their carrying capacities should be enlisted as integral parts of wildlife management in the area.
The Multiple Influences of Natural Farming Environment on the Cultured Population Behavior of Kuruma Prawn, Penaeus japonicus
Authors: Cheng Wenzhi , Zhang Heqian , Wang Panpan , Wei Yiming , Chen Chuanxi , Hou Yiling , Deng Xiaojie , Li Siqi , Sun Shengyao , Cai Qisi , Mao Yong , Liu Xiangrong
Published: December 2022

Recent years have witnessed a tremendous development in shrimp farming around the world, which, however, has raised a variety of issues, possibly due to a lack of knowledge of shrimp behavior in farms. This study focused on the relationship between shrimp behavior and the various factors of natural farming environment through situ surveys, as distinguished from the majority of laboratory studies on shrimp behavior. In the survey, the behaviors of kuruma prawn (Penaeus japonicus) were investigated in the groups of swimming in the water, crawling on the sand, resting on the sand, and hiding in the sand, followed by the quantification of the sex ratio, water quality, density, and light intensity. The results showed the average proportions of resting, hiding, crawling, and swimming activities of 69.87%, 20.85%, 8.24%, and 1.04%, respectively, of P. japonicus. The behavior of hiding, resting, and crawling is significantly affected by the sex ratio of the shrimp (p < 0.05). The proportions of hiding behavior exhibited a negative connection with density and a positive connection with light intensity, while the proportions of resting behavior showed the opposite according to both Pearson correlation analysis and multiple linear regression analysis. The light intensity was the only factor that significantly influenced the swimming behavior, in which the probability of the swimming behavior was reduced from 48% to 5% when light intensity varied from 0 to 10 lx, as determined by the generalized linear model. It could be speculated that P. japonicus prefers a tranquil environment. Female shrimp might exhibit less aggression and more adventure compared to male shrimp. The findings suggested light intensity, followed by density, as the most crucial element influencing the behavior of P. japonicus in the culture environment. These findings will contribute to the comprehension of the behavior of P. japonicus and provide a novel perspective for the formulation of its culture management strategy.