bluuebunny/crossref_metadata_2025 huggingface dataset:
Mapping fertility rates at national, sub-national, and local levels in Ethiopia between 2000 and 2019
Authors: Abate Biruk Beletew , Sendekie Ashenafi Kibret , Ayele Mulat , Lake Eyob Shitie , Wodaynew Tilahun , Tilahun Befkad Derese , Azmeraw Molla , Habtie Tesfaye Engdaw , Kassa Muluemebet , Munie Melesse Abiye , Temesgen Dessie , Merchaw Abebe , Alamaw Addis Wondimagegn , Zemariam Alemu Birara , Kitaw Tegene Atamenta , Kassaw Amare , Kassie Ayelign Mengesha , Yilak Gizachew , Kassa Mulat Awoke , Kibret Gebremeskel Abebe , Agimas Muluken Chanie , Bizuneh Fasikaw Kebede , Adisu Molalign Aligaz , Woreta Bogale Molla , Alene Kefyalew Addis
Published: September 2024

Background

Fertility rates are key indicators of population health and demographic change, influencing economic development, healthcare planning, and social policies. Understanding subnational variation in fertility rate is important for effective geographical targeting and policy prioritization. This study aimed to identify geographic variation, trends, and determinants of fertility rates in Ethiopia over the past two decades.

Methods

We estimated total fertility rates (TFRs) and age-specific fertility rates (ASFRs) using five nationally representative cross-sectional Demographic and Health Surveys collected in Ethiopia between 2000 and 2019. ASFRs represent the number of live births per 1,000 women aged 15 to 49 during the 3 years before each survey, while TFRs indicate the average number of children a woman would have by the end of her reproductive years, calculated as the sum of ASFRs over five-year intervals. We developed model-based geostatistics by incorporating demographic and healthcare access data with spatial random fields to produce high-resolution fertility rate maps. These results were then aggregated to produce fertility rate estimates at local, sub-national, and national levels in Ethiopia.

Results

The national TFR gradually declined from 4.8 live births in 2000 to 4.2 live births in 2019, but it is still above the replacement level of 2.1 children per woman. There were sub-national and local variations in TFR, ranging from 5.7 live births in Somalia and 5.3 Oromia regions to 2.7 live births in Addis Ababa and 3.6 live births Dire Dawa cities. Geographical areas with high TFR were mostly associated with a high proportion of Muslim women and low access to health facilities.

Conclusion

Despite a decline in fertility rates among women of reproductive age over the past two decades, marked spatial variation persists at sub-national and local levels in Ethiopia, with demographic factors determining the spatial distribution and rate of decline, highlighting the need for tailored programs and strategies in high-fertility areas to increase access to family planning.
Air pollutants and primary liver cancer mortality: a cohort study in crop-burning activities and forest fires area
Authors: Thongsak Natthapat , Chitapanarux Taned , Chotirosniramit Anon , Chakrabandhu Somvilai , Traisathit Patrinee , Nakharutai Nawapon , Srikummoon Pimwarat , Thumronglaohapun Salinee , Supasri Titaporn , Hemwan Phonpat , Chitapanarux Imjai
Published: September 2024

Introduction

Northern Thailand experiences high levels of air pollution in the dry season due to agricultural waste burning and forest fires. Some air pollutants can enter the bloodstream, and the liver has the role of detoxifying these along with other harmful substances. In this study, we assessed the effects of long-term exposure to air pollutants on liver cancer mortality in this area.

Methods

A cohort of 10,859 primary liver cancer patients diagnosed between 2003 and 2018 and followed up to the end of 2020 were included in the study. Extended time-varying covariates of the annually averaged pollutant concentrations updated each year were utilized. The associations between air pollutants and mortality risk were examined by using a Cox proportional hazard model.

Results

Metastatic cancer stage had the highest adjusted hazard ratio (aHR) of 3.57 (95% confidence interval (CI):3.23–3.95). Being male (aHR = 1.10; 95% CI: 1.04–1.15), over 60 years old (aHR = 1.16; 95% CI: 1.11–1.21), having a history of smoking (aHR = 1.16; 95%CI: 1.11–1.22), and being exposed to a time-updated local concentration of PM2.5 of 40 μg/m3 (aHR = 1.10; 95% CI: 1.05–1.15) increased the mortality risk.

Conclusion

We found that air pollution is one of several detrimental factors on the mortality risk of liver cancer.
Self-compassion and work engagement among Chinese nurses: exploring mediating effects of depression, anxiety, and stress
Authors: Yang Yan , Chang Hongjuan , Guo Shuangxi , Gao Xiao Lei , Wang Lina , Ma Anna
Published: September 2024

Objective

Work engagement significantly influences both the quality of nursing care and nurses’ job performance. In this study, we aimed to explore the mediating effects of negative emotions on the relationship between self-compassion and work engagement among Chinese nurses.

Method

A cross-sectional study was performed on nurses in a tertiary A hospital located in Henan province from September, 2023 to December, 2023. Custom-designed digital surveys were disseminated to gather pertinent data. Structural Equation Modelling (SEM) were utilised to analyse the data and determine relationships among self-compassion, negative emotions and work engagement.

Results

A total of 1,201 nurses were included. According to the statistical model, self-compassion (β = 0.116, CI: −0.036 to −0.008, p < 0.001) and negative emotions (β = −0.372, CI: −0.053 to −0.033, p < 0.001) were correlated with work engagement. Furthermore, our analysis revealed that negative emotions partially mediated the relationship between self-compassion and work engagement (β = 0.174, CI: −0.066 to −0.020, p < 0.01).

Conclusion

These findings indicate that incorporating self-compassion and negative emotion regulation in interventions targeting work engagement may enhance the overall level of work engagement among nurses, thereby improving job satisfaction and the quality of patient care.
A clinical trial evaluation of handwashing products and educational resources to improve hand hygiene in paediatric patients and school children
Authors: McNicholl Johanna , Younie Sarah , Crosby Sapphire , Laird Katie
Published: September 2024

Introduction

It is widely acknowledged that good hand hygiene (HH) is an important non-pharmaceutical method for reducing the transmission of infectious diseases. Children are at high risk of infection due to their immature immune systems. Hospital transmitted infections are a cause for concern worldwide, with poor HH suggested to be responsible for up to 20% of cases. Patients, in particular paediatric patients, are often overlooked when it comes to the promotion of hand hygiene compliance (HHC) in hospitals. This report describes the clinical evaluation of the ‘Soaper Stars’; a collection of child-friendly HH products with linked educational resource, developed using the COM-B approach to behaviour change, and designed to encourage correct HH in paediatric patients and in schools.

Method

The Soaper Star products were distributed on paediatric wards in five UK hospitals, and the use of the products around mealtimes was evaluated. Workshops teaching the ‘why when and how’ of handwashing were run in four UK primary schools with pre and post evaluations conducted to establish impact on knowledge. Over 300 children were involved.

Results

The Soaper Stars products stimulated a 38% increase in HHC compared to when only hospital-issued products were available, and verbal feedback from families indicated that having the Soaper Star products encouraged improved HHC by all visitors, not just the patient. Workshops in four schools (283 pupils) showed an increase in knowledge around the transmission of infection and the need for good HH that was sustained for at least 4 weeks.

Conclusion

The results of this study demonstrate that providing children with the age-appropriate knowledge about why HH is necessary, and the child-friendly means to maintain their HH, will lead to greater HHC, not just by individual children, but also their families.
Exploring the influence of environmental indicators and forecasting influenza incidence using ARIMAX models
Authors: Zheng Xiaoyan , Chen Qingquan , Sun Mengcai , Zhou Quan , Shi Huanhuan , Zhang Xiaoyang , Xu Youqiong
Published: September 2024

Background

Influenza is a respiratory infection that poses a significant health burden worldwide. Environmental indicators, such as air pollutants and meteorological factors, play a role in the onset and propagation of influenza. Accurate predictions of influenza incidence and understanding the factors influencing it are crucial for public health interventions. Our study aims to investigate the impact of various environmental indicators on influenza incidence and apply the ARIMAX model to integrate these exogenous variables to enhance the accuracy of influenza incidence predictions.

Method

Descriptive statistics and time series analysis were employed to illustrate changes in influenza incidence, air pollutants, and meteorological indicators. Cross correlation function (CCF) was used to evaluate the correlation between environmental indicators and the influenza incidence. We used ARIMA and ARIMAX models to perform predictive analysis of influenza incidence.

Results

From January 2014 to September 2023, a total of 21,573 cases of influenza were reported in Fuzhou, with a noticeable year-by-year increase in incidence. The peak of influenza typically occurred around January each year. The results of CCF analysis showed that all 10 environmental indicators had a significant impact on the incidence of influenza. The ARIMAX(0, 0, 1) (1, 0, 0)12 with PM10(lag5) model exhibited the best prediction performance, as indicated by the lowest AIC, AICc, and BIC values, which were 529.740, 530.360, and 542.910, respectively. The model achieved a fitting RMSE of 2.999 and a predicting RMSE of 12.033.

Conclusion

This study provides insights into the impact of environmental indicators on influenza incidence in Fuzhou. The ARIMAX(0, 0, 1) (1, 0, 0)12 with PM10(lag5) model could provide a scientific basis for formulating influenza control policies and public health interventions. Timely prediction of influenza incidence is essential for effective epidemic control strategies and minimizing disease transmission risks.
Interactions between muscle volume and body mass index on brain structure in the UK Biobank
Authors: Lu Alicia , Than Stephanie , Beare Richard , La Hood Alexandra , Collyer Taya Annabelle , Srikanth Velandai , Moran Chris
Published: September 2024

Background

Low skeletal muscle volume may increase dementia risk through mechanisms affecting brain structure. However, it is unclear whether this relationship exists outside of sarcopenia and/or varies by other factors. We aimed to study the interplay between skeletal muscle volume and factors, such as age, sex, and body mass index (BMI), in explaining brain structure at midlife in a cohort without sarcopenia.

Methods

We used abdominal and brain magnetic resonance imaging (MRI) data from a population-based cohort enrolled in the UK Biobank. The following measures were derived: thigh fat-free muscle volume (FFMV), total brain volume (TBV), gray matter volume (GMV), white matter volume (WMV), total hippocampal volume (THV), and white matter hyperintensity volume (WMHV). Participants below sex-based grip strength thresholds suggesting probable sarcopenia were excluded. Linear regression analysis was used to study the interaction or mediation effects of age, sex, and BMI on the associations between FFMV and brain volumes.

Results

Data were available for 20,353 participants (median age 64 years, 53% female). We found interactions between thigh FFMV, BMI, and age (all p < 0.05). Greater thigh FFMV was associated with better brain volumes in those aged <64 years with normal (TBV: β = 2.0 ml/L, p = 0.004; GMV: β = 0.8 ml/L, p = 0.04; WMV: β = 1.1 ml/L, p = 0.006; WMHV: β = −0.2 ml/L, p = 3.7 × 10−5) or low BMI (TBV: β = 21.2 ml/L, p = 0.003; WMV: β = 13.3 ml/L, p = 0.002, WMHV: β = −1.1 ml/L, p = 0.04).

Conclusion

Greater thigh muscle volume correlates with better brain volumes at midlife in people without sarcopenia, but this relationship weakens with greater age and BMI. Further study is required to investigate the underlying mechanisms to understand which components of body composition are potentially modifiable risk factors for dementia.
Childhood growth of singletons conceived following intracytoplasmic sperm injection – irrelevance of gonadotropin stimulation
Authors: Minger M. A. , Sommer G. , Mitter V. R. , Purtschert L. A. , von Wolff M. , Kohl Schwartz A. S.
Published: September 2024

Background

In conventional, gonadotropin stimulated, in vitro fertilization or intracytoplasmic sperm injection (c-IVF/ICSI) growth and development of multiple follicles is induced by gonadotropins, combined with gonadotropin-releasing hormone agonist or antagonist. In recent studies, singletons conceived after c-IVF/ICSI cycles had lower birth weight not only than spontaneously conceived children but also children born after unstimulated natural IVF/ICSI cycles (NC-IVF/ICSI). Lower birth weight is associated with a catch-up growth within the first years of life. Following the Barker hypothesis accelerated growth has been associated with a higher risk of cardiovascular diseases later in life. The aim of the study is to assess, if children conceived with NC-IVF/ICSI have a higher birthweight and therefore do not show a catch-up growth within the first two years. Therefore, we assume that children born after NC-IVF/ICSI have a better long-term cardiometabolic risk profile. Whether the weight- and height gain is comparable to spontaneously conceived children is unknown, since to our knowledge we are the first study to investigate the longitudinal growth of children born after unstimulated natural cycle ICSI (NC-ICSI).

Material and methods

We conducted a single-center, prospective cohort study (2010-2017) including children (n = 139) born after NC-ICSI or c-ICSI treatment. Growth parameters up to 24 months were collected. Standard deviation scores based on growth references were calculated.

Results

The study included 98 children in the NC-ICSI and 41 children in the c-ICSI group. The median birth weight in NC-ICSI children was 3.4 kg [0.1 standard deviation score (SDS)] compared to 3.3 kg (−0.3 SDS) in c-ICSI children (p = 0.61). Median length at birth was 50 cm in both groups (NC-ICSI (−0.5 SDS), c-ICSI children (−0.8 SDS), p = 0.48). At age 24 months, median weight in NC-ICSI children was 12.2 kg (0.3 SDS) versus 12.2 kg (0.2 SDS) in c-ICSI children (p = 0.82) and median length 87.5 cm (0.1 SDS) versus 88.0 cm (0.4 SDS) (p = 0.43).

Conclusion

We found no difference in growth between children conceived after stimulated and unstimulated ICSI. Growth parameters of both treatment groups did not differ from Swiss national growth references (N = 8500). One of the main limitations of our study was the small sample size (N = 139) of complete data sets over time and the high drop-out rate of 49% (68/139). Nevertheless, with the increasing number of children born after IVF/ICSI every year it is of immense importance to search for possibilities to reduce their long-term cardiometabolic risk and we want our data to contribute to this discussion.
Prediction of soil texture using remote sensing data. A systematic review
Authors: Mgohele R. N. , Massawe B. H. J. , Shitindi M. J. , Sanga H. G. , Omar M. M.
Published: September 2024

Soil particle size fractions play a critical role in determining soil health attributes, including soil aeration, water infiltration and retention capacity, nutrients, and organic matter dynamics. Traditional soil mapping methods rely predominantly on ground-based surveys and laboratory analysis which are reported to be time-consuming and expensive. To address these challenges, there has been a global shift towards digital soil mapping (DSM) techniques that utilize remote sensing data. This review, conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guideline, aims to provide a comprehensive synthesis of the current state of soil texture prediction using remote sensing data. In particular, the review extract and synthesizes the satellite images used, identify the derived environmental covariates and their relative importance, and assesses the prediction models/algorithms used in the prediction of soil texture. Synthesis and analysis of 70 articles show that clay content is the most predicted of the three soil particle fractions accounting for 37% of the reviewed studies predominantly from topsoil layer (74.29%). Sentinel 2 and Landsat 8 are reported as the most frequently used satellite images. Among the covariates derived from these images, NDVI (80.4%) and SAVI (60.8%) are by far the most derived band ratios (indices). Red (37.3%), NIR (35.3%), Green (33.3%), Blue (33.3%), and SW2 (29.4%) bands were the five most incorporated as covariates for soil texture prediction amongst individual satellite bands. Regarding the DSM algorithms, Random Forest (RF) appeared in most reviewed articles followed by Support Vector Machines (SVM), and Quantile Regression Forest (QRF). The comparative model performance analysis showed that RF and Artificial neural network (ANN) had a good trade-off across validation metrics indicating their best performance in the prediction of both clay, sand, and silt. The RF performance showed a decreasing trend with increasing depth interval for clay and sand prediction and inconsistent for silt prediction.
Financial analysis of a locomotor exercise trial for post-stroke recovery: insights from the HIT Stroke Trial
Authors: Hazen Emily M. , Bartsch Bria L. , Billinger Sandra A.
Published: September 2024

Background

Navigating the complexities of post-stroke recovery trials requires addressing challenges in participant recruitment and retention and effective resource management to ensure trial success. The aim of this study was to examine the financial requirements associated with conducting the Moderate-Intensity Exercise vs. High-Intensity Interval Training to Recover Walking Post-Stroke (HIT Stroke Trial) at a single site encompassing a wide catchment area, recognizing the intricate challenges of participant recruitment and retention inherent in post-stroke recovery trials.

Methods

To determine cost, study expense reports were gathered and divided into seven categories: recruitment, screening assessments, baseline assessments, intervention, outcome assessments, retention, and oversight. Categories were then further divided into chronological order for initial contact and prescreening, consenting, initial screening, and baseline testing. The 12-week intervention was divided into 4-week blocks: intervention block 1, post 4-week outcome testing, intervention block 2, post 8-week outcome testing, intervention block 3, and post 12-week outcome testing.

Results

Total direct cost for site execution was $539,768 with cost per participant approximated as $35,984. Oversight costs accounted for 65.8% of the budget at $355,661. To achieve goals related to inclusive participant recruitment ($21,923) and retention ($28,009), our site costs totaled $49,932. Direct study-related costs included screening assessments ($5,905), baseline assessments ($15,028), intervention ($76,952), and outcome assessments ($36,288).

Discussion

Clinical trials focusing on walking rehabilitation and exercise, particularly those requiring multiple assessment visits, demand rigorous oversight. This cost analysis provides important and critical insight into the expenses required to successfully execute an exercise-based walking rehabilitation trial in the United States.
Sustainable land management and implications on incomes, food self-sufficiency and women
Authors: Bwalya Bridget , Mutandwa Edward , Chiluba Brian Chanda
Published: September 2024

The adoption of Sustainable Land Management (SLM) practices among smallholder farmers remains low, particularly among women farmers. Understanding the relationship between assets, gender, and SLM adoption and how their interaction impinges on household food self-sufficiency and livelihoods is essential for developing gender-responsive SLM programmes that effectively promote sustainable livelihoods and address household food insecurity. This study examines the effects of asset type on SLM practices adoption, women farmers, and their implications on household incomes and food self-sufficiency. Data was collected through a cross-sectional survey of 761 households selected from 11 chiefdoms across six districts in Eastern Zambia. Analysis involved Structural Equation System framework and Propensity Score Matching techniques to examine relationships between SLM adoption, food self-sufficiency, and household incomes, considering various socio-economic factors. Results showed marital status and household size as significant demographics, with education positively correlating with household income and SLM participation (p < 0.05). Gender disparities persisted, with male-headed households having higher incomes. Labour allocation analysis revealed women’s involvement in labour-intensive tasks, while smaller farms showed higher income probabilities, supporting sustainable agricultural intensification. Social capital significantly influenced SLM participation, and access to financial capital. Livestock assets, land size, and crop diversity predicted food security, while male decision-making influenced food security and income. Incomes were higher for women participating in SLM projects. This study underscores the importance of SLM practices in influencing household incomes and food security, especially for women. Addressing gender disparities and promoting women’s empowerment in agriculture are crucial for achieving equitable and sustainable rural development. Policymakers can foster sustainable livelihoods in rural communities by prioritizing SLM and empowering women.
The impact of information acquisition ability on consumers' trust in eco-labels in China: insight of food sustainability
Authors: Yang Yanyan , Xue Fang , Qiao Guanghua
Published: September 2024

Introduction

The lack of trust in eco-labels is a significant reason for the slow growth in demand for sustainable food, and reducing the information gap between relevant parties is a crucial means to improve consumer trust in eco-labels.

Methods

In order to investigate the influence and driving pathways of consumers' information acquisition abilities on their trust in eco-labels, a total of 1,072 urban and rural consumers in Inner Mongolia, China were surveyed in this study, with an analysis conducted using the structural equation model.

Results

It was found that information acquisition ability, institutional trust, and label knowledge have significant direct impacts on eco-label trust, with impact effects of 0.270, 0.351, and 0.357, respectively. Additionally, information acquisition ability has indirect effect of 0.085 and 0.127 on label trust through institutional trust and label knowledge. Furthermore, information discernment awareness has a significant negative moderating effect between information acquisition ability and label trust.

Discussion

Therefore, when publicizing the certification system and label knowledge, cultivating consumers' information acquisition ability effectively enhances eco-label trust. Moreover, strengthening media supervision to ensure the authenticity and objectivity of information transmission is an important measure to protect trust in eco-labels. This study enriches relevant research in the field of food sustainability and provides valuable recommendations to promote sustainable food consumption.
Enhancing laying performance and immunity via probiotic and vitamin additives during induced molting
Authors: Wang Chunyang , Xiao Sa , Yang Zengqi
Published: September 2024

Introduction

Molting is induced in commercial laying hens to rejuvenate the reproductive system and increase egg production. However, this process causes stress and reduces bird health and performance.

Methods

The experiment was conducted to study the effect of multi probiotics and vitamin additives on induced molting in 240 ISA Brown hens. Hens were randomly divided into four groups receiving probiotic and vitamin additives (I–IV) during different period of molting. During the whole molting process, the laying performance indexes such as egg laying rate, egg quality, ovary weight and oviduct lengths were measured, and the spleen index, serum immunoglobulin, immune response of NDV and AIV vaccine were monitored.

Results

Molted hens resumed 50% egg production in just 37 days, with 1.62% mortality. Egg quality such as egg weight, yolk color, Haugh unit, eggshell strength and protein height were significantly improved. After the second production peak, the reproductive organs and immune organs returned to normal, and the immune antibody titer of NDV vaccine increased significantly.

Discussion

Molting with probiotic and vitamin additives improve the laying performance and egg quality, reduce mortality, significantly improve immune function and vaccine titer, and help to enhance disease resistance and maintain production performance of aged laying hens.
Mycoplasma bovis-associated verminous pneumonia in alpine chamois (Rupicapra rupicapra)
Authors: Bullone Michela , Divari Sara , Sereno Alessandra , Bassano Bruno , Gelmetti Daniela , Gibelli Lucia Rita , Pregel Paola , Bollo Enrico , Scaglione Frine Eleonora
Published: September 2024

Pneumonia is a common disease affecting Alpine chamois. However, little is known concerning the etiological agents involved. We investigated whether Mycoplasma spp. infection occurs in Alpine chamois and describe the microscopic lesions associated with Mycoplasma-associated bronchopneumonia in this species. Lung tissues obtained from 45 chamois with gross evidence of pneumonia were analysed. The histological lesions and the presence of lungworms within the lungs were evaluated blindly. The presence of Mycoplasma spp. was assessed by immunohistochemistry (Mycoplasma bovis and Mycoplasma mycoides subsp. mycoides) and by end-point PCR. M. bovis was detected by immunohistochemistry and confirmed by PCR and sequencing in 6/45 (13%) cases, while all lungs were negative for M. mycoides subsp. mycoides. A significant association was found between the detection of M. bovis and the presence of severe lungworms infection in the examined lungs. We report for the first time M. bovis as a bacteria associated with verminous pneumonia in chamois.
Regenerative treatment of canine osteogenic lesions with Platelet-Rich Plasma and hydroxyapatite: a case report
Authors: Barbaro Katia , Marconi Giorgio , Innocenzi Elisa , Altigeri Annalisa , Zepparoni Alessia , Monteleone Valentina , Alimonti Cristian , Marcoccia Daniele , Ghisellini Paola , Rando Cristina , Ottoboni Stefano , Rau Julietta V. , Eggenhöffner Roberto , Scicluna Maria Teresa
Published: September 2024

Introduction

This study examined the efficacy of a therapy based on a combination of Platelet Rich Plasma and hydroxyapatite nanoparticles in a severe clinical case involving a young Rottweiler with a complex spiral fracture of the tibia.

Method

Following a worsening of the lesion after traditional surgical intervention, the subject was treated with the combined therapy. X-rays were taken at the following stages: immediately post-surgery, four weeks post-surgery, and 10 days post-treatment. Fracture gap and callus density measurements were obtained using ImageJ analysis, allowing for a detailed quantitative assessment of bone regeneration over time.

Results

Post-operative radiographs indicated a clinical worsening of the fracture, revealing an increased fracture gap due to bone loss. However, significant improvements were observed ten days following the treatment, with a marked reduction in fracture gaps and increased callus density. These results demonstrated a notable acceleration in bone healing and callus formation compared to typical recovery times for similar lesions.

Conclusion

The method showed potential for enhancing osteogenic regeneration, facilitating faster healing of serious orthopedic injuries compared to traditional methods.
The impact of Codonopsis Pilosulae and Astragalus Membranaceus extract on growth performance, immunity function, antioxidant capacity and intestinal development of weaned piglets
Authors: Guo Rongxia , Zhang Hao , Jiang Chenghui , Niu Chun , Chen Baoxia , Yuan Ziwen , Wei Yanming , Hua Yongli
Published: September 2024

Introduction

The objective of this study was to examine the impact of Codonopsis pilosula and Astragalus membranaceus extract (CA) on the growth performance, diarrhea rate, immune function, antioxidant capacity, gut microbiota, and short-chain fatty acids (SCFAs) in weaned piglets.

Methods

A total of forty-eight 31-day-old weaned piglets, were divided into four groups randomly based on the treatment type: control group (CON), low dose group (LCA, 0.5% CA), medium dose group (MCA, 1.0% CA), and high dose group (HCA, 1.5% CA), and were fed for a duration of 28 days. On the morning of the 1st and 29th day, the piglets were assessed by weighing them on an empty stomach, recording their daily feed intake and diarrhea rate.

Results

CA increased the average daily weight gain and reduced F/G without significant differences, and the diarrhea rate was reduced in the LCA and MCA groups. Furthermore, the levels of T-AOC, SOD, GSH-Px, and MDA were increased. The levels of T-AOC in the LCA group and the MCA group, SOD in the MCA group, and GSH-Px in the HCA group were significantly higher compared with the CON group (p < 0.05). Additionally, CA significantly increased IgM, IgG, and IgA levels (p < 0.05). The results of gut microbiota analysis showed that the bacterial population and diversity of faeces were changed with the addition of CA to basal diets. CA increased the abundance of the beneficial bacterial Firmicutes and Lactobacillus. Additionally, Compared with the CON group, CA significantly increased the SCFAs content of weaned piglets (p < 0.05).

Discussion

CA can alleviate oxidative stress, improve immunity and antioxidant capacity, increase the abundance of beneficial bacteria, and the content of SCFAs for improving the intestinal barrier of piglets, thus promoting growth and reducing diarrhea rate in weaned piglets.
Higher Nodal expression is often associated with poorer survival in patients diagnosed with melanoma and treated with anti-PD1 therapy
Authors: Gascard Philippe D. , Wang Xianhong , Nosrati Mehdi , Kim Kevin B. , Kashani-Sabet Mohammed , Tlsty Thea D. , Leong Stanley P. , Hendrix Mary J. C.
Published: September 2024

Advanced melanoma is considered the most aggressive and deadly form of skin cancer whose incidence has been rising over the past three decades. In the absence of treatment, the median overall survival for advanced-stage metastatic disease is less than 6 months. Although most melanomas detected at an early stage can be cured with surgery, a subset of these eventually metastasize. Therefore, a critical need exists to identify unique molecular features that would be predictive of long-term outcome and response to specific therapies. Recent promising therapeutic regimens have included the use of immune checkpoint inhibitors, such as anti-PD1 antibodies. However, the ability to identify responders and non-responders to this therapy remains elusive. To address this challenge at the molecular level, previously our laboratory identified the emergence of a stem cell phenotype associated with advanced melanoma and other aggressive forms of cancer. Underlying this phenotype is the aberrant re-expression of the embryonic morphogen “Nodal”. Particularly noteworthy, we have observed Nodal to remain in advanced tumors of non-responders to standard-of-care therapies (i.e., BRAFi). This pilot study is the first proof-of-principle attempt to predict treatment response survival outcome in a small cohort of melanoma patients receiving anti-PD1 immune checkpoint inhibitor therapy – based on their Nodal expression profile. Using advanced multiplex immunohistochemistry-based digital pathology, the major finding of this preliminary study indicates that higher Nodal expression is often associated with poorer overall survival after anti-PD1 therapy, reaching nearly statistical relevance.
Bud-YOLO: A Real-Time Accurate Detection Method of Cotton Top Buds in Cotton Fields
Authors: Zhang Xuening , Chen Liping
Published: September 2024

Cotton topping plays a crucial and indispensable role in controlling excessive growth and enhancing cotton production. This study aims to improve the operational efficiency and accuracy of cotton topping robots through a real-time and accurate cotton top bud detection algorithm tailored for field operation scenarios. We propose a lightweight structure based on YOLOv8n, replacing the C2f module with the Cross-Stage Partial Networks and Partial Convolution (CSPPC) module to minimize redundant computations and memory access. The network’s neck employs an Efficient Reparameterized Generalized-FPN (Efficient RepGFPN) to achieve high-precision detection without substantially increasing computational cost. Additionally, the loss calculation of the optimized prediction frame was addressed with the Inner CIoU loss function, thereby enhancing the precision of the model’s prediction box. Comparison experiments indicate that the Bud-YOLO model is highly effective for detecting cotton top buds, with an AP50 of 99.2%. This performance surpasses that of other YOLO variants, such as YOLOv5s and YOLOv10n, as well as the conventional Faster R-CNN model. Moreover, the Bud-YOLO model exhibits robust performance across various angles, occlusion conditions, and bud morphologies. This study offers technical insights to support the migration and deployment of the model on cotton topping machinery.
From Field to Building: Harnessing Bio-Based Building Materials for a Circular Bioeconomy
Authors: Parlato Monica C. M. , Pezzuolo Andrea
Published: September 2024

The transition from a linear to circular economy is driving a growing emphasis on utilizing bio-based materials for bioenergy and construction purposes. This literature review seeks to offer a thorough bibliometric and critical analysis of bio-based building materials, particularly those that incorporate agricultural residues. A selection of pertinent articles was analyzed using text-mining techniques, revealing a substantial increase in research output on this topic, from 74 publications in 2000 to 1238 in 2023. Key areas such as sustainability, sources of bio-based materials, building applications, design and analysis, material properties, and processes have been extensively examined. The cluster “Sustainability” was the most frequently discussed topic, comprising 28.85% of the content, closely followed by “Building Materials and Techniques” at 28.07%. Given the critical role of life cycle assessment (LCA) in sustainability, an additional analysis was conducted focusing on existing research addressing this subject. The findings of this study are aimed at advancing the incorporation of waste-derived bio-based materials into a circular economy framework, thereby supporting the broader objectives of sustainability and resource efficiency.
Determination of Critical Crop Water Stress Index of Tea under Drought Stress Based on the Intercellular CO2 Concentration
Authors: Lu Yongzong , Zheng Jialiang , Hu Huijie , Pan Qingmin , Cui Longfei , Hu Yongguang
Published: September 2024

Climatic changes have caused seasonal drought to occur frequently in tea fields of low-mountain and hill regions over the past decades. This leads to huge losses in the quality and yields of famous tea, which restricts the economic development of the tea industry. It is crucial to implement suitable irrigation scheduling. The crop water stress index (CWSI) is the main index to assess the water status of the crop. When the crop suffers irreversible drought stress, its critical water status cannot be easily evaluated using the CWSI. The change from stomatal limitations (SLs) to non-stomatal limitations (NSLs) of photosynthesis is vital for accurately recognizing crop drought stress. Thus, the objective of this research is to determine the critical crop water stress index of tea based on intercellular CO2 concentration (Ci) dynamic responses to drought stress. During two sensitive periods of water stress (famous tea harvest season and summer drought season, which are from March to April and July to August, respectively), the dynamic changes in the CWSI in tea were calculated and analyzed based on the CWSI theoretical model. The upper and lower baselines were determined on a daily basis and during a certain period. A critical value of the CWSI represents irreversible drought damage. This was determined by the characteristic response of the Ci of tea leaves during extreme drought stress. The results showed the following: (1) during the famous tea harvest season and summer drought season, the daily variation in CWSI was similar. During a certain period, the former maintained a stable fluctuation, while the latter increased in fluctuation. (2) The Ci showed a trend of fluctuating downward to a low point and then upward during extreme drought stress. After reaching the low point, it quickly increased in the former and stabilized for a day in the latter. When the Ci reached the low point, the upper benchmark of this critical point was 13.9 μmol·mol−1, the lower benchmark was 3.4, and the CWSI was 0.27. This critical CWSI could be used as an irrigation threshold point to ensure normal production for tea fields.
The Influence of X-ray Radiation on the Morphological, Biochemical, and Molecular Changes in Copiapoa tenuissima Seedlings
Authors: Licznerski Piotr , Michałowska Emilia , Tymoszuk Alicja , Winiecki Janusz , Lema-Rumińska Justyna
Published: September 2024

Cactaceae are a significant group of ornamental plants in the horticultural market. In the present study, X-rays were used for the first time to induce mutational changes in the cactus Copiapoa tenuissima. The aim of this study was to assess the genetic variability in seedlings exposed to in vitro X-ray irradiation at doses of 0, 15, 20, 25, and 50 Gy (radiation time from 5 min 13 s to 17 min 22 s) by morphological analysis, a spectrophotometric evaluation of plant pigment content, and the confirmation of changes at the genetic level using SCoT (start codon targeted) markers. The results showed that the percentage of colorful seedlings increased with the radiation dose and was the highest for the 50 Gy dose (4.89%). The radiation doses of 25 and 50 Gy generated seedlings with a new color (orange-brown), which had not yet been observed in C. tenuissima. With the increase in the radiation dose, as compared to control seedlings, brown seedlings showed an increase in the concentrations of carotenoids, chlorophyll a, and chlorophyll b, while green seedlings showed an increase in the concentrations of anthocyanins and chlorophyll b and a decrease in the concentrations of carotenoids and chlorophyll a. The unweighted pair group method analysis showed a very large genetic distance among the tested genotypes exposed to X-rays. The results of the present study provide a novel direction for using X-rays to breed new cultivars of C. tenuissima.
Nodules of Medicago spp. Host a Diverse Community of Rhizobial Species in Natural Ecosystems
Authors: Stefan Andrei , Van Cauwenberghe Jannick , Rosu Craita Maria , Stedel Catalina , Chan Crystal , Simms Ellen L. , Iticescu Catalina , Tsikou Daniela , Flemetakis Emmanouil , Efrose Rodica Catalina
Published: September 2024

Biological nitrogen fixation by rhizobia-nodulated legumes reduces the dependence on synthetic nitrogen fertilizers. Identification of locally adapted rhizobia may uncover economically valuable strains for sustainable agriculture. This study investigated the diversity and symbiotic potential of rhizobia associated with three Medicago species from Eastern Romania’s ecosystems. Phenotypic screening ensured that only rhizobial species were retained for molecular characterization. 16S rDNA sequencing clustered the isolates into four distinct groups: Sinorhizobium meliloti, Sinorhizobium medicae, Rhizobium leguminosarum, and Mesorhizobium spp. The chromosomal genes (atpD, glnII, recA) and nifH phylogenies were congruent, while the nodA phylogeny grouped the Mesorhizobium spp. isolates with R. leguminosarum. Medicago sativa was the most sampled plant species, and only S. meliloti and R. leguminosarum were found in its nodules, while Medicago falcata nodules hosted S. meliloti and Mesorhizobium spp. Medicago lupulina was the only species that hosted all four identified rhizobial groups, including S. medicae. This study provides the first report on the Mesorhizobium spp. associated with M. falcata nodules. Additionally, R. leguminosarum and two Mesorhizobium genospecies were identified as novel symbionts for Medicago spp. Comparative analysis of Medicago-associated rhizobia from other studies revealed that differences in 16S rDNA sequence type composition were influenced by Medicago species identity rather than geographic region.
Unveiling Microbial Dynamics and Gene Expression in Legume–Buffel Grass Coculture Systems for Sustainable Agriculture
Authors: Ren Xipeng , Yu Sung J. , Brewer Philip B. , Ashwath Nanjappa , Bajagai Yadav S. , Stanley Dragana , Trotter Tieneke
Published: September 2024

Legumes enhance pasture health and soil productivity by fixing atmospheric nitrogen and boosting soil microbiota. We investigated the effects of tropical pasture legumes, including butterfly pea (Clitoria ternatea), seca stylo (Stylosanthes scabra), desmanthus (Desmanthus virgatus), lablab (Lablab purpureus), and Wynn cassia (Chamaecrista rotundifolia), on the soil microbial community and buffel grass (Cenchrus ciliaris) gene expression. Additionally, we explored the impact of a phytogenic bioactive product (PHY) in the coculture system. A pot trial using soil enriched with cow paunch compost included four treatments: monoculture of buffel grass and five legume species with and without PHY supplementation and coculture of buffel grass with each legume species with and without PHY supplementation. Actinobacteriota and Firmicutes were the dominant bacterial phyla. Regardless of PHY application, the coculture of buffel grass with legumes positively influenced microbial composition and diversity. Transcriptomic analysis revealed significant gene expression changes in buffel grass shoots and roots, with each legume uniquely affecting nitrogen metabolism. Lablab and Wynn cassia exhibited similarities in modulating metabolic processes, butterfly pea contributed to mycotoxin detoxification, and desmanthus balanced cell death and growth. Seca stylo enhanced root cell growth and regeneration. These findings offer insights for optimizing legume–grass coculture systems, enhancing soil activity and promoting sustainable agriculture.
Effects of Various Levels of Water Stress on Morpho-Physiological Traits and Spectral Reflectance of Maize at Seedling Growth Stage
Authors: Li Xuemin , Feng Yayang , Sun Xiulu , Liu Wentao , Yang Weiyue , Ge Xiaoyang , Jia Yanhui
Published: September 2024

Water stress (drought and waterlogging) is one highly important factor affecting food security in China. Investigating the effects of soil moisture stress on the morphological and physiological characteristics of maize seedlings is crucial for ensuring food production. The use of spectral monitoring to observe crop phenotypic traits and assess crop health has become a focal point in field crop research. However, studies exploring the contribution of crop phenotypic and physiological data to the Normalized Difference Vegetation Index (NDVI) are still limited. In this study, a 35-day pot experiment was conducted with seven soil moisture gradients: 50%, 60%, 70%, 80% (control group, CK), 90%, 100%, and 110% treatment. In order to investigate the effects of soil moisture stress on seedling phenotypes, antioxidant enzyme activities, and NDVI, an ASD FieldSpec 4 Hi-Res NG portable spectrometer was used to collect spectral data from maize (Zea mays L. B73) leaves. The contributions of maize phenotypic and physiological traits to NDVI were also examined. The results indicated that (1) the 50% and 110% treatments significantly affected maize seedling phenotypes compared to the CK group; (2) the activities of superoxide dismutase (SOD) and peroxidase (POD) in the leaves increased under water stress, while the activities of glutathione peroxidase (GSH-PX) and ascorbate peroxidase (APX) decreased; (3) soil moisture stress (drought and waterlogging) reduced photosynthetic pigments, chlorophyll content (SPAD), and NDVI, with inhibitory effects intensifying as the stress level increased; (4) Redundancy analysis showed that antioxidant enzymes explained 69.87% of the variation in seedling height, leaf area, and NDVI. Soil moisture stress, chlorophyll, and SPAD explained 58.14% of the variation in these parameters. The results demonstrated that maize seedlings were highly sensitive to soil moisture changes, and the SPAD value contributed significantly to NDVI (p < 0.01). This study provides valuable insights for future research in precision agriculture management
The Effect of Herbicides and Biostimulant Application on the Seed Yield and Seed Quality of Soybean (Glycine max (L.) Merr.)
Authors: Gawęda Dorota , Haliniarz Małgorzata , Andruszczak Sylwia , Wacławowicz Roman
Published: September 2024

The profitability of growing soybean (Glycine max (L.) Merr.) is largely determined by the successful elimination of weeds and the weather conditions, the adverse effect of which can be minimized by the use of biostimulants. This study aims to evaluate the effect of several herbicides and biostimulants on the seed yield and contents of protein, fat, amino acids, and fatty acids in soybean seeds. The results demonstrate that the yield and quality of soybean seeds were most beneficially affected by the use of prosulfocarb immediately after sowing in combination with a subsequent foliar application of bentazone and imazamox with an adjuvant containing methyl oleate and fatty alcohol. This treatment ensured the highest seed yield (3.32 t ha−1), the highest contents in seeds of protein (342.4 g kg−1 DM), phenylalanine (15.65 g kg−1 DM), leucine (23.54 g kg−1 DM), and most of the endogenous amino acids. All herbicide treatments increased the contents of tryptophan, serine, and glutamic acid compared to the seeds without herbicide treatment. The study results indicate that soybean responded positively to all biostimulants, as indicated by a higher seed yield (from 5.3% to 11.3%), plant height, and contents of tryptophan, serine, glutamic acid, cysteine, tyrosine, and C18:1n9c + C18:1n9t acids in the seeds.