bluuebunny/crossref_metadata_2025 huggingface dataset:
β3GNT9 as a prognostic biomarker in glioblastoma and its association with glioblastoma immune infiltration, migration and invasion
Authors: Luo YingHao , Wang Kan , Zhan Lu , Zeng Fanyue , Zheng Jie , Chen Sijing , Duan Xingbang , Ju Donghui
Published: September 2023

Background

Studies have shown that the immune infiltration of tumor microenvironment is related to the prognosis of glioblastoma, which is characterized by high heterogeneity, high recurrence rate and low survival rate. To unravel the role of β1,3-N-acetylglucosaminyltransferase-9 (β3GNT9) in the progression of glioblastoma, this study identifies the value of β3GNT9 as a prognostic biomarker in glioblastoma, and investigates the relationship between β3GNT9 expression and glioblastoma immune infiltration, migration and invasion

Methods

β3GNT9 expression in glioblastoma was analyzed using the GEPIA database. The clinical features of glioblastoma were screened out from the TCGA database. The relationship between β3GNT9 expression and clinical features was analyzed. The relationship between β3GNT9 and the prognosis of glioblastoma was evaluated through univariate and multivariate COX regression analyses, and the survival analysis was conducted using the Kaplan-Meier method. GSEA was employed to predict the signaling pathway of β3GNT9 in glioblastoma. The correlation between β3GNT9 and tumor immune infiltration was analyzed using the related modules of CIBERSORT and TIMER. A172, U87MG and U251 cell lines were selected to verify β3GNT9 expression in vitro. The effects of β3GNT9 on the migration and invasion of glioblastoma were investigated through cell scratch and invasion assays.

Results

β3GNT9 expression in glioblastoma group was significantly higher than that in normal brain tissue group (P<0.05). The overall survival rate in high β3GNT9 expression group was significantly lower than that in low β3GNT9 expression group (P<0.05). Regression analyses suggested that β3GNT9, involved primarily in glucosamine degradation and extracellular matrix receptor interaction, could be an independent prognostic factor for glioblastoma. CIBERSORT and GEPIA database analyses showed that β3GNT9 was correlated with tumor infiltrating immune cells such as T follicular helper cells, activating natural killer cells, monocytes, macrophages, and eosinophils, thus affecting the immune microenvironment of glioblastoma. Cell experiments confirmed that β3GNT9 was highly expressed in A172, U87MG and U251 cell lines (P<0.05), and promoted the migration and invasion of glioblastoma (P<0.05).

Conclusion

The increased expression of β3GNT9 in glioblastoma can affect the immune microenvironment of glioblastoma and promote its migration and invasion. β3GNT9 can be used as a potential independent prognostic biomarker for patients with glioblastoma.
Experience with the safe admission of breast and thyroid cancer patients in non-endemic areas during an epidemic outbreak
Authors: Tang Peng , Ai Xiang , Wang Minghao , Hu Ying , Pan Qinwen , Jiang Jun
Published: September 2023

Background

The outbreaks of infectious diseases, such as coronavirus disease 2019 (COVID-19), have seriously affected the normal work and life of the public, as well as the normal diagnosis and treatment of other diseases due to their strong infectivity, high population susceptibility, and diverse clinical manifestations. Breast and thyroid specialists in non-hotspot epidemic areas of COVID-19 must consider factors, including epidemic prevention and control, breast and thyroid cancers and diseases diagnosis and treatment, and access to medical resources to make a reasonable treatment choice and optimize the treatment process.

Methods

A cohort study was designed under our center’s epidemic prevention and control strategy. The study was conducted between February 3 and April 19, 2020, to explore the safety of clinical diagnosis and treatment of breast and thyroid cancer patients during the epidemic. All the outpatients, inpatients, day-time chemotherapy patients, targeted therapy patients, and relevant medical staff in the observation period in the Department of Breast and Thyroid Surgery in Southwest Hospital in Chongqing municipality, China, were included to investigate the detection and infection rate of COVID-19 and suspected patients.

Results

During the observation period, 27,117 patients were admitted to the outpatient unit. We performed 394 inpatient surgeries and 411 day-time surgeries. In our center, 1,046 and 663 patients received day-time chemotherapy and targeted therapy, respectively. All the patients were diagnosed and treated promptly and safely. Three suspected COVID-19 patients were identified in the outpatient unit. Healthcare staff achieved a “zero” infection of COVID-19.

Conclusion

The spread and cross-infection of COVID-19 can be avoided in non-hotspot epidemic areas based on scientific prevention and control, and cancer patients can be diagnosed and treated on time. The prevention and control measure implemented in the COVID-19 epidemic for diagnosing and treating cancer patients was effective and can be referenced for other infectious disease outbreaks.
Advances in the relationship between temporal muscle thickness and prognosis of patients with glioblastoma: a narrative review
Authors: Tang Jinhai , Dong Zhenghao , Sheng Junxiu , Yang Ping , Zhao Wanying , Xue Juan , Li Qizheng , Lv Li , Lv Xiupeng
Published: September 2023

The most dangerous variety of glioma, glioblastoma, has a high incidence and fatality rate. The prognosis for patients is still bleak despite numerous improvements in treatment approaches. We urgently need to develop clinical parameters that can evaluate patients' conditions and predict their prognosis. Various parameters are available to assess the patient's preoperative performance status and degree of frailty, but most of these parameters are subjective and therefore subject to interobserver variability. Sarcopenia can be used as an objective metric to measure a patient's physical status because studies have shown that it is linked to a bad prognosis in those with cancers. For the purpose of identifying sarcopenia, temporal muscle thickness has demonstrated to be a reliable alternative for a marker of skeletal muscle content. As a result, patients with glioblastoma may use temporal muscle thickness as a potential marker to correlate with the course and fate of their disease. This narrative review highlights and defines the viability of using temporal muscle thickness as an independent predictor of survival in glioblastoma patients, and it evaluates recent research findings on the association between temporal muscle thickness and prognosis of glioblastoma patients.
The role of angiogenic growth factors in the immune microenvironment of glioma
Authors: Ge Zhengmao , Zhang Qi , Lin Wei , Jiang Xiaofan , Zhang Yanyu
Published: September 2023

Angiogenic growth factors (AGFs) are a class of secreted cytokines related to angiogenesis that mainly include vascular endothelial growth factors (VEGFs), stromal-derived factor-1 (SDF-1), platelet-derived growth factors (PDGFs), fibroblast growth factors (FGFs), transforming growth factor-beta (TGF-β) and angiopoietins (ANGs). Accumulating evidence indicates that the role of AGFs is not only limited to tumor angiogenesis but also participating in tumor progression by other mechanisms that go beyond their angiogenic role. AGFs were shown to be upregulated in the glioma microenvironment characterized by extensive angiogenesis and high immunosuppression. AGFs produced by tumor and stromal cells can exert an immunomodulatory role in the glioma microenvironment by interacting with immune cells. This review aims to sum up the interactions among AGFs, immune cells and cancer cells with a particular emphasis on glioma and tries to provide new perspectives for understanding the glioma immune microenvironment and in-depth explorations for anti-glioma therapy.
Identification of novel lactate metabolism-related lncRNAs with prognostic value for bladder cancer
Authors: Wang Xiushen , Pan Jing , Guan Qiutong , Ren Ninghui , Wang Ping , Wei Minjie , Li Zhenhua
Published: September 2023

Background: Bladder cancer (BCA) has high recurrence and metastasis rates, and current treatment options show limited efficacy and significant adverse effects. It is crucial to find diagnostic markers and therapeutic targets with clinical value. This study aimed to identify lactate metabolism-related lncRNAs (LM_lncRNAs) to establish a model for evaluating bladder cancer prognosis.

Method: A risk model consisting of lactate metabolism-related lncRNAs was developed to forecast bladder cancer patient prognosis using The Cancer Genome Atlas (TCGA) database. Kaplan‒Meier survival analysis, receiver operating characteristic curve (ROC) analysis and decision curve analysis (DCA) were used to evaluate the reliability of risk grouping for predictive analysis of bladder cancer patients. The results were also validated in the validation set. Chemotherapeutic agents sensitive to lactate metabolism were assessed using the Genomics of Drug Sensitivity in Cancer (GDSC) database.

Results: As an independent prognostic factor for patients, lactate metabolism-related lncRNAs can be used as a nomogram chart that predicts overall survival time (OS). There were significant differences in survival rates between the high-risk and low-risk groups based on the Kaplan‒Meier survival curve. decision curve analysis and receiver operating characteristic curve analysis confirmed its good predictive capacity. As a result, 22 chemotherapeutic agents were predicted to positively affect the high-risk group.

Conclusion: An lactate metabolism-related lncRNA prediction model was proposed to predict the prognosis for patients with bladder cancer and chemotherapeutic drug sensitivity in high-risk groups, which provided a new idea for the prognostic evaluation of the clinical treatment of bladder cancer.
Cultivation of Melilotus officinalis as a source of bioactive compounds in association with soil recovery practices
Authors: Nogues Isabel , Passatore Laura , Bustamante María Ángeles , Pallozzi Emanuele , Luz João , Traquete Francisco , Ferreira António E. N. , Sousa Silva Marta , Cordeiro Carlos
Published: September 2023

Introduction

Melilotus officinalisis a Leguminosae with relevant applications in medicine and soil recovery. This study reports the application ofMelilotus officinalisplants in soil recovery and as a source of bioactive compounds.

Methods

Plants were cultivated in semiarid soil under four different fertilizer treatments, urban waste compost at 10 t/ha and 20 t/ha, inorganic fertilizer and a control (no fertilizer). Agronomic properties of soil (pH, EC, soil respiration, C content, macro- and microelements) were analyzed before and after treatment. Also, germination, biomass, element contents, and physiological response were evaluated. Metabolite composition of plants was analyzed through Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS).

Results and discussion

Results showed a significant enhancement of the soil microbial activity in planted soils amended with compost, though there were no other clear effects on the soil physicochemical and chemical characteristics during the short experimental period. An improvement inM. officinalisgermination and growth was observed in soils with compost amendment. Metabolite composition of plants was analyzed through Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS). Principal Component and Agglomerative Hierarchical Clustering models suggest that there is a clear separation of the metabolome of four groups of plants grown under different soil treatments. The five most important discriminative metabolites (annotated) were oleamide, palmitic acid, stearic acid, 3-hydroxy-cis-5-octenoylcarnitine, and 6-hydroxynon-7- enoylcarnitine. This study provides information on how the metabolome ofMelilotusmight be altered by fertilizer application in poor soil regions. These metabolome changes might have repercussions for the application of this plant in medicine and pharmacology. The results support the profitability ofMelilotus officinaliscultivation for bioactive compounds production in association with soil recovery practices.
FOTCA: hybrid transformer-CNN architecture using AFNO for accurate plant leaf disease image recognition
Authors: Hu Bo , Jiang Wenqian , Zeng Juan , Cheng Chen , He Laichang
Published: September 2023

Plants are widely grown around the world and have high economic benefits. plant leaf diseases not only negatively affect the healthy growth and development of plants, but also have a negative impact on the environment. While traditional manual methods of identifying plant pests and diseases are costly, inefficient and inaccurate, computer vision technologies can avoid these drawbacks and also achieve shorter control times and associated cost reductions. The focusing mechanism of Transformer-based models(such as Visual Transformer) improves image interpretability and enhances the achievements of convolutional neural network (CNN) in image recognition, but Visual Transformer(ViT) performs poorly on small and medium-sized datasets. Therefore, in this paper, we propose a new hybrid architecture named FOTCA, which uses Transformer architecture based on adaptive Fourier Neural Operators(AFNO) to extract the global features in advance, and further down sampling by convolutional kernel to extract local features in a hybrid manner. To avoid the poor performance of Transformer-based architecture on small datasets, we adopt the idea of migration learning to make the model have good scientific generalization on OOD (Out-of-Distribution) samples to improve the model’s overall understanding of images. In further experiments, Focal loss and hybrid architecture can greatly improve the convergence speed and recognition accuracy of the model in ablation experiments compared with traditional models. The model proposed in this paper has the best performance with an average recognition accuracy of 99.8% and an F1-score of 0.9931. It is sufficient for deployment in plant leaf disease image recognition.
What are the core features of professional learning community in Chinese preschool teachers’ perspectives: based on grounded theory analysis
Authors: Yang Jia , Zhang Yifan , Zhou Yibin , Ji Yulin
Published: September 2023

Introduction

Professional learning community (PLC) has been concerned as an effective way to promote teacher professional development in China. However, PLC must be optimized due to Chinese culture and education system. This study aimed to explore the features of PLC in preschool teachers’ perspectives and provided theoretical basis for PLC localization practice.

Methods

Twenty-eight preschool teachers were engaged in a PLC, their interview data and personal reflection diaries were collected and analyzed based on grounded theory analysis.

Results and discussion

Five core features of PLC in teachers’ perspectives were extracted in this study, including a common vision, a read-practice-share flow, continuous reflection, distributed leadership, peer and organizational support. PLC’s common vision is to promote teachers’ professional development and children’s development. Teachers learn and reflect in the process of “reading-practice-sharing,” peer support and leadership empowerment play an important role in a sustainable PLC.
A study of dynamic emoji emotional responses based on rhythms and motion effects
Authors: Yang Danni , Wang Mei , Ren Yutong , Dong Xiaoyan , Yang Tian
Published: September 2023

Dynamic emojis are a form of nonverbal communication used in social programs to express emotions during conversations. Studies have shown that different dynamic effects can influence users’ emotional perceptions. Previous studies have focused on the emotional responses elicited by static emojis, while the emotional responses to dynamic emojis have not been thoroughly explored. In this study, we examined the impact of 128 different dynamic effects, categorized into emotional types (HAHV, LAHV, HALV, and LALV), on users’ arousal and valence, and conducted semi-structured interviews to identify users’ preferred dynamic effects. The results revealed significant and positive correlations between the arousal levels of all dynamic emojis and the effects of rhythms. However, the impact of rhythms on the valence of dynamic emojis varied depending on the emotion types of emojis. Specifically, the effects of motion on the valence of dynamic high-valence emojis were found to be significant, whereas they were not significant for dynamic low-valence emojis. Based on these findings, we recommend considering following factors in the design of dynamic emojis, including rhythms, motion effects, motion range, emotional metaphors, and the creation of contrast.
The relationship between fundamental motor skills and physical fitness in preschoolers: a short-term longitudinal study
Authors: Chen Jiebo , Song Wenjing , Zhao Xing , Lou Hu , Luo Dongmei
Published: September 2023

Purpose

Physical fitness and fundamental motor skills are two important aspects for the healthy development of preschoolers. Despite the growing interest in clarifying their relationship, the scarcity of longitudinal studies prevents us from understanding causality.

Method

This study employed a cross-lagged model with two time points to investigate the bidirectional relationship between these two aspects. A total of 174 preschoolers (54.0% girls) from 3 to 6 years old (M = 3.96 ± 0.47) were surveyed, they were recruited by convenience from two kindergartens in Beijing, China, and their physical fitness (via CNPFDSM-EC) and fundamental motor skills (via TGMD-3) were tracked over a period of 6 months.

Results

The findings revealed a bidirectional predictive effect. The predictive strength of flexibility was found to be lower than other physical fitness aspects, while locomotor skills demonstrated a higher predictive strength than object control skills.

Conclusion

This study indicates that physical fitness and fundamental motor skills mutually enhance each other in young children, and both should be emphasized in preschool sports education.
When practice does not make a perfect - paradoxical learning curve in schizophrenia and bipolar disorder revealed by different serial reaction time task variants
Authors: Chrobak Adrian Andrzej , Siuda-Krzywicka Katarzyna , Soltys Zbigniew , Bielak Sylwia , Nowaczek Dominik , Żyrkowska Aleksandra , Fafrowicz Magdalena , Marek Tadeusz , Pęcherzewska Ewa , Kużdżał Jan , Starowicz-Filip Anna , Gorostowicz Aleksandra , Dudek Dominika , Siwek Marcin
Published: September 2023

Introduction

Our previous studies identified a paradoxical implicit motor learning curve in schizophrenia (SZ) and bipolar disorder (BD) patients. This study aimed to verify whether those previously observed deficits may be captured by a new version of the ambidextrous serial reaction time task (SRTT), prepared for use in the MRI.

Methods

This study involved 186 participants. A total of 97 participants (33 BD, 33 SZ, and 31 healthy controls, HCs) completed the original, unlimited time response variant of SRTT. A total of 90 individuals (30 BD, 30 SZ, and 30 HCs) underwent a newer, limited response time version of this procedure.

Results

There was no significant difference in terms of implicit motor learning indices between both limited and unlimited response time SRTT. Compared to HCs, SZ, and BD patients presented decreased indices of implicit motor learning. Both clinical groups showed a paradoxical learning pattern that differed significantly from the HCs. Moreover, in the SZ group, the pattern depended on the hand performing SRTT.

Discussion

The limited response time SRTT variant allowed us to replicate the findings of disrupted implicit motor learning in SZ and BD. The use of this paradigm in further neuroimaging studies may help to determine the neuronal underpinnings of this cognitive dysfunction in the abovementioned clinical groups.
Satisfaction with sex life and its impact on the quality of life in people living with HIV in Poland treated in the city of Bialystok: a cross-sectional study
Authors: Milewska-Buzun Marta , Cybulski Mateusz , Baranowska Anna , Krajewska-Kułak Elżbieta , Kózka Maria , Paradowska-Stankiewicz Iwona
Published: September 2023

Introduction

Sex life is an important element contributing to the overall quality of life. It is also a particularly sensitive dimension of quality of life for HIV-positive patients.

Objective

The aim of the study was to assess the sexual life of people living with HIV in Poland treated in the Observation and Infection Clinic with the Subunit for HIV/AIDS Patients of the University Clinical Hospital in Bialystok, and its impact on the quality of life, life satisfaction, HIV status acceptance, general health status and depressive symptoms among the respondents.

Methods

A total of 147 participants, including 104 men (70.7%) and 43 women (29.3%), took part in the research. The study was conducted between May 2019 and January 2020. The study used a diagnostic survey method with a modified questionnaire “Psychosocial situation of people living with HIV/AIDS” by Dr. Magdalena Ankiersztejn-Bartczak and the following standardised psychometric tools: the World Health Organization Quality of Life (WHOQOL-BREF), Short Form Health Survey (SF-36), Acceptance of Illness Scale (AIS), Satisfaction with Life Scale (SWLS), General Health Questionnaire (GHQ-28) and Beck Depression Inventory (BDI).

Results

One-third of patients rated their sex life as poor or very poor. Almost half of respondents always informed sexual partners of their HIV status (49.7%). The sex life of respondents was highly correlated with almost all psychometric measures used in the study. Those indicating sexual contact as a possible source of HIV infection had a lower quality of life in the domain of general health compared to other respondents, but the difference was relatively small (about 5.5 points).

Discussion

In conclusion, the overall satisfaction with the sex life of people living with HIV was moderate with a tendency to poor. The quality of life of people living with HIV was determined by their sex life. Better quality of life was presented by those with good self-reported sex life.
Self-care with non-prescription medicines to improve health care access and quality of life in low- and middle-income countries: systematic review and methodological approach
Authors: May Uwe , Bauer Cosima , Schneider-Ziebe Anissa , Giulini-Limbach Chiara
Published: September 2023

Objectives

This study aims to develop a structured framework to capture beneficial effects and determine the value of self-care for individuals and society in low- and middle-income countries (LMICs). A special focus is placed on self-medication with non-prescription medicines.

Methods

PubMed, Google Scholar and websites of associations or organizations were systematically searched for economic studies on self-care and self-medication published between 2000 and 2021. The insights gained from the literature review were incorporated into the development of a decision tree model.

Results

The literature review revealed a lack of research and available data on the role and value of self-care in LMICs. To help close the research gap a methodological framework was developed that defines different settings of self-care, their effects and relevant outcomes and allows a quantification with regard to self-medication in LMICs.

Conclusion

Self-care offers individuals a convenient and reliable way to take care of their own health, especially in LMICs where access to health services can be challenging. In particular it is crucial to improve individuals access to clinically effective, safe and reliable non-prescription medicines.
Exploring factors related to heart attack complicated with hypertension using a Bayesian network model: a study based on the China Health and Retirement Longitudinal Study
Authors: Zhang Haifen , Zhang Xiaotong , Yao Xiaodong , Wang Qiang
Published: September 2023

Objectives

While Bayesian networks (BNs) represents a good approach to discussing factors related to many diseases, little attention has been poured into heart attack combined with hypertension (HAH) using BNs. This study aimed to explore the complex network relationships between HAH and its related factors, and to achieve the Bayesian reasoning for HAH, thereby, offering a scientific reference for the prevention and treatment of HAH.

Methods

The data was downloaded from the Online Open Database of CHARLS 2018, a population-based longitudinal survey. In this study, we included 16 variables from data on demographic background, health status and functioning, and lifestyle. First, Elastic Net was first used to make a feature selection for highly-related variables for HAH, which were then included into BN model construction. The structural learning of BNs was achieved using Tabu algorithm and the parameter learning was conducted using maximum likelihood estimation.

Results

Among 19,752 individuals (9,313 men and 10,439 women) aged 64.73 ± 10.32 years, Among 19,752 individuals (9,313 men and 10,439 women), there are 8,370 ones without HAH (42.4%) and 11,382 ones with HAH (57.6%). What’s more, after feature selection using Elastic Net, Physical activity, Residence, Internet access, Asset, Marital status, Sleep duration, Social activity, Educational levels, Alcohol consumption, Nap, BADL, IADL, Self report on health, and age were included into BN model establishment. BNs were constructed with 15 nodes and 25 directed edges. The results showed that age, sleep duration, physical activity and self-report on health are directly associated with HAH. Besides, educational levels and IADL could indirectly connect to HAH through physical activity; IADL and BADL could indirectly connect to HAH through Self report on health.

Conclusion

BNs could graphically reveal the complex network relationship between HAH and its related factors. Besides, BNs allows for risk reasoning for HAH through Bayesian reasoning, which is more consistent with clinical practice and thus holds some application prospects.
An interdisciplinary intervention program to prevent early childhood caries in the Dominican Republic
Authors: Abreu-Placeres Ninoska , Ekstrand Kim Rud , Garrido Luis Eduardo , Bakhshandeh Azam , Martignon Stefania
Published: September 2023

Objective

The principal aim of this randomized clinical trial (RCT) was to test the effectiveness in the prevention of Early Childhood Caries (ECC) through an educational intervention program with the use of a printed guide for pediatricians and parents both designed by pediatric dentists.

Materials and methods

After ethical approval, the first step was to design the educational guides, which were based on the information obtained from a focus group with pediatricians (n = 3), phone interviews with mothers to toddlers' (n = 7), and the best evidence available about children's oral health. For the RCT, 309 parents with their 10–12 months old children were randomly allocated to either the intervention or the control group. Parents in the intervention group received oral health education from the pediatricians supported by the printed guides. Parents in both groups received an oral health kit with a toothbrush and toothpaste at the first visit as well as at each 6-month follow-up visit. After 18 months the children were evaluated using ICDAS criteria.

Results

At baseline, data were available from 309 children (49.8% girls). The mean age of the children was of 10.8 months (SD = 0.8) and 69.3% had not had their teeth brushed with toothpaste. After 18 months, a total of 28 (22%) children in the intervention group and 44 (24%) in the control group were clinically examined. Regarding the number of tooth surfaces with caries lesions, the children in the intervention group had a mean of 6.50 (SD = 6.58) surfaces, while the children in the control group had a mean of 5.43 (SD = 4.74) surfaces with caries lesions. This difference was not significant (p = 0.460).

Conclusion

The RCT showed no effectiveness in caries-progression control. Despite this result, this study managed to identify barriers that do not allow pediatricians from offering parents adequate oral health recommendations. With this learning, it is possible to work on collaborative programs with pediatricians that over time likely will increase dental health by controlling for ECC.
Impact of suboptimal donor to suboptimal recipient kidney transplant on delayed graft function and outcome
Authors: Bocchi Federica , Beldi Guido , Kuhn Christian , Storni Federico , Müller Natalie , Sidler Daniel
Published: September 2023

Introduction

The demographics of donor and recipient candidates for kidney transplantation (KT) have substantially changed. Recipients tend to be older and polymorbid and KT to suboptimal recipients is associated with delayed graft function (DGF), prolonged hospitalization, inferior long-term allograft function, and poorer patient survival. In parallel, donors are also older, suffer from several comorbidities, and donations coming from circulatory death (DCD) predominate, which in turn leads to early and late complications. However, it is unclear how donor and recipient risk factors interact.

Methods

In this retrospective cohort study, we assess the impact of a KT from suboptimal donors to suboptimal recipients. We focused on: 1) DGF; 2) hospital stay and number of dialysis days after KT and 3) allograft function at 12 months.

Results and discussion

Among the 369 KT included, the overall DGF rate was 25% (n = 92) and median time from reperfusion to DGF resolution was 7.8 days (IQR: 3.0–13.8 days). Overall, patients received four dialysis sessions (IQR: 2–8). The combination of pre-KT anuria (<200 ml/24 h, 32%) and DCD procurement (14%) was significantly associated with DGF, length of hospital stay, and severe perioperative complications, predominantly in recipients 50 years and older.
Not getting laid: consumer acceptance of precision fermentation made egg
Authors: Zollman Thomas Oscar , Chong Mark , Leung Angela , Fernandez Tricia Marjorie , Ng Shu Tian
Published: September 2023

Mounting concern over the negative externalities of industrialized animal agriculture, coupled with falling cost curves of novel food technologies have birthed the field of cellular agriculture: a new category of food technology seeking to reproduce the sensory experiences of animal protein, and promising a cleaner, more ethical way of enjoying animal proteins. This research examines consumer acceptance of precision fermentation (PF) made egg products in Germany, Singapore, and the USA. Using an online survey of 3,006 participants, the study examines demographic and dietary traits that predict willingness to try such products and identifies the reasons why consumers are most attracted to them. The findings suggest that PF made egg products are likely to find a willing market, with a substantial proportion (51–61%) of participants willing to try the product, with vegetarians and vegans displaying the highest enthusiasm. Egg consumption habits and, to a lesser extent, income also predict acceptance. Major reasons for adopting the product were animal welfare in Germany, and health aspects in Singapore and the USA, as well as curiosity in all three countries. Observed differences between the acceptance of PF egg and PF dairy are discussed, as well as comparisons to existing alternative protein (AP) product adoption.
Research legitimacy as a precursor to effectiveness: the role of equitable partnerships in transforming aquatic food systems
Authors: Schutter Marleen Simone , Eriksson Hampus , Apgar Marina , Ride Anouk
Published: September 2023

Competing interests in aquatic food systems pose challenges for small-scale food producers trying to secure their place in the blue economy. These challenges include development aspirations, pressure from conservation interests, climate and environmental change, and blue growth agendas. Research-for-development can contribute to improving outcomes for small-scale actors in aquatic food systems in the face of uneven development, but the legitimacy and effectiveness of research have been found difficult to operationalize. An “engineering mindset” that prioritizes technical innovations, academic definitions of research excellence, unequal research collaborations, and funding constraints currently inhibit conducting strategic and transformative research. Taking ownership, equity, shared analysis, and feedback as key principles for research-in-development can assist in moving from transfer of technology to recognizing and working within the specific political and institutional contexts of aquatic food systems.
Phenotypic Diversity and Relationships of Fruit Traits in Persimmon (Diospyros kaki Thunb.) Germplasm Resources
Authors: Dong Yi , Sun Weimin , Yue Zhihui , Gong Bangchu , Yang Xu , Wu Kaiyun , Liu Cuiyu , Xu Yang
Published: September 2023

Persimmons (Diospyros kaki Thunb.) are a characteristic Chinese fruit and account for a large planting area in China. The evaluation and selection of persimmons that are astringent without softening play an important role in modern breeding programs. However, the phenotypic variability and diversity of some representative traits in the natural population of persimmon germplasm without softening are still unclear. In this study, 56 traits from 150 samples of D. kaki collected in East Asia were used to evaluate phenotypes and correlations using principal component analysis (PCA) and cluster analysis. The results show that the mean coefficient of variation for the persimmon germplasm traits was 26.19%, and significant variations in phenotypic traits were observed. The frequency distribution maps of most of the characteristics showed obvious normal distribution characteristics. The analysis of the correlations between the traits showed that the most significant positive correlations had correlation coefficients close to 0.7. For example, seed width was highly and significantly correlated with fruit longitudinal and transverse width (0.796 and 0.786), and pith height was highly and significantly correlated with seed length (0.816). Moreover, the correlations between fruit traits and support traits, such as those related to the fruit handle and sepals, were significant, and the coefficients of the correlations between sepal width and fruit traits were 0.671 to 0.739. Fruit water content was negatively correlated with the soluble solids content (−0.623). Principal component analysis reduced 38 traits to 8 principal components, explaining 82.459% of the total variations, which were related to fruit size, seed, pith, color, fruit hardness, and soluble solid content; thus, persimmon germplasm could be divided into three major categories according to the sizes and shapes of the traits, and the first cluster was divided into two subcategories. The first subclass of fruits is medium size and shape; the second subclass of fruits is small in all traits; the second cluster is of high-quality and large fruits, optimal in all traits; and the third cluster is of medium to high-quality and oblate fruits. The results of this study are important for genetic improvement, diversity conservation, and resource utilization regarding persimmons and further research in this regard.
Real-Time Joint-Stem Prediction for Agricultural Robots in Grasslands Using Multi-Task Learning
Authors: Li Jiahao , Güldenring Ronja , Nalpantidis Lazaros
Published: September 2023

Autonomous weeding robots need to accurately detect the joint stem of grassland weeds in order to control those weeds in an effective and energy-efficient manner. In this work, keypoints on joint stems and bounding boxes around weeds in grasslands are detected jointly using multi-task learning. We compare a two-stage, heatmap-based architecture to a single-stage, regression-based architecture—both based on the popular YOLOv5 object detector. Our results show that introducing joint-stem detection as a second task boosts the individual weed detection performance in both architectures. Furthermore, the single-stage architecture clearly outperforms its competitors with an OKS of 56.3 in joint-stem detection while also achieving real-time performance of 12.2 FPS on Nvidia Jetson NX, suitable for agricultural robots. Finally, we make the newly created joint-stem ground-truth annotations publicly available for the relevant research community.
Machine Learning and Conventional Methods for Reference Evapotranspiration Estimation Using Limited-Climatic-Data Scenarios
Authors: Santos Pietros André Balbino dos , Schwerz Felipe , Carvalho Luiz Gonsaga de , Baptista Victor Buono da Silva , Marin Diego Bedin , Ferraz Gabriel Araújo e Silva , Rossi Giuseppe , Conti Leonardo , Bambi Gianluca
Published: September 2023

Reference evapotranspiration (ET0) is one important agrometeorological parameter for hydrological studies and climate risk zoning. ET0 calculation by the FAO Penman–Monteith method requires several input data. However, the availability of climate data has been a problem in many places around the world, so the study of scenarios with different combinations of climate data has become essential. The aim of this study was to evaluate the performance of artificial neural network (ANN), random forest (RF), support vector machine (SVM), and multiple linear regression (MLR) approaches to estimate monthly mean ET0 with different input data combinations and scenarios. Three scenarios were evaluated: at the state level, where all climatological stations were used (Scenario I–SI), and at the regional level, where the Minas Gerais state was divided according to the climatic classifications of Thornthwaite (Scenario II–SII) and Köppen (Scenario III–SIII). ANN and RF performed better in ET0 estimation among the models evaluated in the SI, SII, and SIII scenarios with the following data combinations: (i) latitude, longitude, altitude, month, mean, maximum and minimum temperature, and relative humidity and (ii) latitude, longitude, altitude, month, mean temperature, and relative humidity. SVM and MLR models are recommended for all scenarios in situations with limited climatic data where only air temperature and relative humidity data are available. The results and information presented in this study are important for the agricultural chain and water resources in Minas Gerais state.
Responses of Two-Row and Six-Row Barley Genotypes to Elevated Carbon Dioxide Concentration and Water Stress
Authors: Bardehji Siavash , Soltan Saba , Eshghizadeh Hamid Reza , Zahedi Morteza , Zare Sara , Koçak Mehmet Zeki , Nouraein Mojtaba , Vita Federico , Vergine Marzia
Published: September 2023

Barley (Hordeum vulgare L.) is a crucial cereal crop globally, and its productivity is influenced by environmental factors, including elevated carbon dioxide (CO2) levels and water stress. The aim of this study is to investigate the effects of water stress and increased CO2 concentration on the growth, physiological responses, and yield of two-row and six-row barley genotypes. Univariate data analysis revealed significant effects of CO2 concentration on most traits except chlorophyll a (Chla), crop antioxidant capacity as evaluated by the activity of plant extracts to scavenge the 2,2-diphenyl-1-picrylhydrazyl (DPPH), and on the maximum quantum yield of photosystem II (Fv/Fm). Mean comparisons showed that elevated CO2 increased certain traits such as shoot dry weight (ShDW) (34.1%), root dry weight (RDW) (50.8%), leaf area (LA) (12.5%), grain weight (GW) (64.1%), and yield-related traits and combination of significant indices (CSI) (72.5%). In comparison, Proline (−19.3%), Malondialdehyde (MDA) (−34.4%) levels, and antioxidant enzyme activities, including ascorbate peroxidase (APX) (−39.1%), peroxidase (POX) (−26.1%), and catalase (CAT), (−34.4%) decreased. Water stress negatively affected ShDW (−40.2%), GW (−43.7%), RDW (−28.5%), and LA (−28.8%), while it positively affected DPPH (36.0%), APX (54.8%), CAT (85.1%), and MDA (101%). Six-row barley genotypes (Goharan and Mehr) had the highest yield under normal humidity and elevated CO2 concentrations, while under water stress conditions, their yield decreased more than two-row genotypes (Behrokh and M9316). Principal component analysis and heatmapping revealed that two-row barley genotypes exhibited the highest stress resistance under elevated CO2 concentrations, with the highest levels of secondary metabolites.
Identification of Soybean Germplasm and Associated Molecular Markers with Resistance to Fusarium graminearum
Authors: Detranaltes Christopher , Ma Jianxin , Cai Guohong
Published: September 2023

Soybean ranks second by total production of all crops grown in the United States. From surveys of soybean production regions in the US and Canada, seedling diseases have been consistently identified as one of the top five biotic limitations on yield for over two decades. The role of Fusarium graminearum as an aggressive member of this complex was unknown until relatively recently and, consequently, publicly and commercially available varieties with resistance to this pathogen are unavailable. To address the need for resistant germplasm and to improve our understanding of the genetic basis underlying the resistance, we screened a set of 208 accessions of soybean from the United States Department of Agriculture Soybean Germplasm Collection (USDA-SGC) under controlled greenhouse conditions. A ratio of the root weight of inoculated plants compared to mock-inoculated controls was used to evaluate the degree of resistance. A linear mixed model identified eight resistant accessions (PI 548311, PI 438500, PI 561318 A, PI 547690, PI 391577, PI 157484, PI 632418, and PI 70466 -3) with significantly higher resistance than the population mean. Previous genotyping publicly available through the SoyBase database was used in a genome-wide association study (GWAS) to determine single nucleotide polymorphism (SNP) markers associated with resistant and susceptible phenotypes. A total of five significant marker-trait associations (MTAs) were discovered on chromosomes Gm02, Gm03, Gm06, Gm07, and Gm13, each accounting for 4.8, 4.3, 3.8, 4.1, and 3.0% of the phenotypic variance, respectively. This study, thus, lays a foundation for the better dissection of germplasm resistant to F. graminearum.
Differences in Milk Proteomic Profiles between Estrous and Non-Estrous Dairy Cows
Authors: Du Chao , Nan Liangkang , Li Chunfang , Chu Chu , Wang Haitong , Fan Yikai , Ma Yabin , Zhang Shujun
Published: September 2023

Efficient reproductive management of dairy cows depends primarily upon accurate estrus identification. However, the currently available estrus detection methods, such as visual observation, are poor. Hence, there is an urgent need to discover novel biomarkers in non-invasive bodily fluids such as milk to reliably detect estrus status. Proteomics is an emerging and promising tool to identify biomarkers. In this study, the proteomics approach was performed on milk sampled from estrus and non-estrus dairy cows to identify potential biomarkers of estrus. Dairy cows were synchronized and timed for artificial insemination, and the cows with insemination leading to conception were considered to be in estrus at the day of insemination (day 0). Milk samples of day 0 (estrus group) and day −3 (non-estrus group) from dairy cows confirming to be pregnant were collected for proteomic analysis using the tandem mass tags (TMT) proteomics approach. A total of 89 differentially expressed proteins were identified, of which 33 were upregulated and 56 were downregulated in the estrus milk compared with the non-estrus milk. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that acetyl coenzyme A carboxylase α (ACACA), apolipoprotein B (APOB), NAD(P)H steroid dehydrogenase-like (NSDHL), perilipin 2 (PLIN2), and paraoxonase 1 (PON1) participated in lipid binding, lipid storage, lipid localization, and lipid metabolic process, as well as fatty acid binding, fatty acid biosynthesis, and fatty acid metabolism, and these processes are well documented to be related to estrus regulation. These milk proteins are proposed as possible biomarkers of estrus in dairy cows. Further validation studies are required in a large population to determine their potential as estrus biomarkers.
Functional Anatomy of the Thoracic Limb of the Komodo Dragon (Varanus komodoensis)
Authors: Kępa Michał , Tomańska Anna , Staszewska Joanna , Tarnowska Małgorzata , Klećkowska-Nawrot Joanna , Goździewska-Harłajczuk Karolina , Kuźniarski Amadeusz , Gębarowski Tomasz , Janeczek Maciej
Published: September 2023

Since the Komodo dragon has been included on The International Union for Conservation of Nature (IUCN) Red List of Threatened Species, it is crucial to know in detail its biology as there is a limited availability of research material on these animals—mainly those who died in zoos or whose remains were found in the wild. Anatomy is essential for understanding physiology, identification of diseases, adaptations in the environment, and behavior. In this dissection study, the relationship of individual anatomical structures was analyzed, the anatomy of the active and passive movement system of the thoracic limb was described, photographs were taken, and a radiographic examination was conducted. This species has its own differences, even within closely related lizard species. Varanus komodoensis possesses triceps muscles with three heads, and the wrist is extended with additional bones for greater flexibility of the hand. The muscles of the forelimb are analogous to the hind limb; however, they differ in the mass of individual muscles, especially those predisposed to perform the most important antigravity and locomotive functions.
Faunal Diet of Adult Cane Toads, Rhinella marina, in the Urban Landscape of Southwest Florida
Authors: Schuman Melinda J. , Snyder Susan L. , Smoak Copley H. , Schmid Jeffrey R.
Published: September 2023

We investigated the diet of cane toads (Rhinella marina) inhabiting urbanized areas in southwest Florida to provide high taxonomic resolution of prey items, contrast toad diets between sampling seasons and sexes, and assess this invasive species’ ecological role in the urban landscape. A pest control agency collected cane toads from two golf course communities in Naples, Florida, USA during November–December 2018 (early dry season) and June–July 2019 (early wet season), and faunal stomach contents were quantified from a random subsample of 240 adult toads (30 males and 30 females from each community and season). Yellow-banded millipedes (Anadenobolus monilicornis), big-headed ants (Pheidole spp.), and hunting billbugs (Sphenophorus venatus vestitus) were the most frequently consumed prey items and had the highest total numbers and/or volume with corresponding highest indices of relative importance. There was considerable overlap in the seasonal prey importance values for each golf course community and little if any difference in the importance values between toad sexes in each community. Nonetheless, big-headed ants were the most important prey in both communities during the wet season, while yellow-banded millipedes were the most important dry season prey in one community and hunting billbugs the most important in the other. Despite limited spatiotemporal sampling effort, our results indicated that cane toad was consuming arthropod taxa considered pests in the urban ecosystem. Further studies are needed to investigate the potential effects of human activities and environmental variability on the cane toad diet and to determine whether cane toads act as a biological control for pest populations.