bluuebunny/crossref_metadata_2025 huggingface dataset:
A comparison of the effects of cinnamon, ginger, and metformin consumption on metabolic health, anthropometric indices, and sexual hormone levels in women with poly cystic ovary syndrome: A randomized double-blinded placebo-controlled clinical trial
Authors: Dastgheib Marsa , Barati-Boldaji Reza , Bahrampour Niki , Taheri Reihane , Borghei Mohammad , Amooee Sedigheh , Mohammadi-Sartang Mohsen , Wong Alexei , Babajafari Siavash , Mazloomi Seyed Mohammad
Published: November 2022

Background/objectives

Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder in women that can alter blood glucose, lipid profile and sexual hormonal level. Therefore, the evaluation of potential therapeutic agents in this population is important. The aim of the study was to determine the effects of cinnamon, ginger, and metformin intake on improvement of sex hormones level, metabolic health (lipid profiles, insulin level and fasting blood glucose) and anthropometric indices (weight, body mass index (BMI), etc.) in women with PCOS.

Methods

A total of 100 women with PCOS were randomly assigned to one of the following four groups: cinnamon (500 mg of cinnamon, 3 × day), ginger (500 mg of ginger, 3 × day), metformin (500 mg of metformin 3 × day) or placebo. However, 17 participants were excluded for various reasons and consequently, 83 participants were considered for analysis. Sexual hormones, anthropometrics, glycemic and lipid markers were evaluated before and after the 8-week intervention.

Results

Weight and BMI decreased significantly in all intervention groups. The consumption of metformin and cinnamon significantly decreased insulin resistance (HOMA-IR) in comparison to the placebo and ginger groups (P < 0.05). Moreover, a significant decrease in FSH (follicle-stimulating hormone) and LH (Luteinizing hormone) levels were observed in the ginger compared to the placebo group. While metformin and cinnamon significantly lowered testosterone levels (P < 0.05), none of the groups experienced a significant change in DHEA (dehydroepiandrosterone).

Conclusion

Our findings suggest that in women with PCOS, cinnamon supplementation causes similar reductions in insulin resistance and testosterone level to that of metformin. Ginger supplementation decreased FSH and LH, hormonal effects not seen following metformin consumption. Overall, cinnamon and ginger supplementations may potentially be used as alternative treatment in women with PCOS.

Clinical trial registration

[https://www.irct.ir/trial/28548], identifier [IRCT20171227038105N1].
Black solo garlic protects hepatic and renal cell function in streptozotocin-induced rats
Authors: Saryono  , Sarmoko  , Nani Desiyani , Proverawati Atikah , Taufik Agis
Published: November 2022

Black solo garlic (BSG) has been evaluated for its ability to reduce free radicals; however, the safety test on kidney and liver function has not been evaluated. This study aimed to examine the effect of brewed BSG on the liver (total protein, albumin, glutathione S-transferase/GST) and kidney (urea, creatinine, and β2-microglobulin) function in streptozotocin (STZ)-induced white rats. The experimental animals were randomly divided into six groups, each including five animals. The groups consist of the normal control group, the STZ-induced control group, the BSG treatment group with doses 6.5, 13.5, and 26 g/kg body weight, and metformin positive control. After STZ induction, the serum levels of GST, total protein, and albumin are decreased. After treatment with BSG, the serum level of GST, total protein, and albumin increased significantly (p < 0.05). The levels of urea, creatinine, and β2-microglobulin increased after STZ induction. After treatment of BSG, levels of urea, creatinine, and β2-microglobulin are decreased significantly (p < 0.05). These results suggest that BSG use is safe for the liver and kidneys of STZ-induced rats.
Mutational analysis and protein profiling predict drug sensitivity in multiple myeloma cell lines
Authors: Giliberto Mariaserena , Santana Leonardo Miranda , Holien Toril , Misund Kristine , Nakken Sigve , Vodak Daniel , Hovig Eivind , Meza-Zepeda Leonardo A. , Coward Eivind , Waage Anders , Taskén Kjetil , Skånland Sigrid S.
Published: November 2022

Introduction

Multiple myeloma (MM) is a heterogeneous disease where cancer-driver mutations and aberrant signaling may lead to disease progression and drug resistance. Drug responses vary greatly, and there is an unmet need for biomarkers that can guide precision cancer medicine in this disease.

Methods

To identify potential predictors of drug sensitivity, we applied integrated data from drug sensitivity screening, mutational analysis and functional signaling pathway profiling in 9 cell line models of MM. We studied the sensitivity to 33 targeted drugs and their association with the mutational status of cancer-driver genes and activity level of signaling proteins.

Results

We found that sensitivity to mitogen-activated protein kinase kinase 1 (MEK1) and phosphatidylinositol-3 kinase (PI3K) inhibitors correlated with mutations in NRAS/KRAS, and PI3K family genes, respectively. Phosphorylation status of MEK1 and protein kinase B (AKT) correlated with sensitivity to MEK and PI3K inhibition, respectively. In addition, we found that enhanced phosphorylation of proteins, including Tank-binding kinase 1 (TBK1), as well as high expression of B cell lymphoma 2 (Bcl-2), correlated with low sensitivity to MEK inhibitors.

Discussion

Taken together, this study shows that mutational status and signaling protein profiling might be used in further studies to predict drug sensitivities and identify resistance markers in MM.
In-depth analysis of the expression and functions of signal transducers and activators of transcription in human ovarian cancer
Authors: Gong Xiaodi , Liu Xiaojun
Published: November 2022

Background

Signal transducers and activators of transcription (STAT) transcription factors, a family of genes encoding transcription factors, have been linked to the development of numerous types of tumors. However, there is a relative paucity of a comprehensive investigation of the expression and functional analysis of STATs in ovarian cancer (OV).

Method

Gene expression profile interaction analysis (GEPI2A), Metascape, The Cancer Genome Atlas (TCGA), Kaplan-Meier Plotter, Linkedomics, and CancerSEA databases were used for expression analysis and functional enrichment of STATs in ovarian cancer patients. We screened potential predictive genes and evaluated their prognostic value by constructing the minor absolute shrinkage and selection operator (LASSO) Cox proportional risk regression model. We explored STAT5A expression and its effects on cell invasion using ovarian cancer cells and a tissue microarray.

Results

The expression level of STAT1 was higher, but that of STAT2-6 was lower in cancerous ovarian tissues compared to normal tissues, which were closely associated with the clinicopathological features. Low STAT1, high STAT4, and 6 mRNA levels indicated high overall survival. STAT1, 3, 4, and 5A were collectively constructed as prognostic risk models. STAT3, and 5A, up-regulating in the high-risk group, were regarded as risk genes. In subsequent validation, OV patients with a low level of P-STAT5A but not low STAT5A had a longer survival time (P=0.0042). Besides, a negative correlation was found between the expression of STAT5A and invasion of ovarian cancer cells (R= -0.38, p < 0.01), as well as DNA repair function (R= -0.36, p < 0.01). Furthermore, transient overexpression of STAT5A inhibited wound healing (21.8%, P<0.0001) and cell migration to the lower chamber of the Transwell system (29.3%, P<0.0001), which may be achieved by regulating the expression of MMP2.

Conclusion

It is suggested that STAT1, STAT4, and STAT6 may be potential targets for the proper treatment of ovarian cancer. STAT5A and P-STAT5A, biomarkers identified in ovarian cancer, may offer new perspectives for predicting prognosis and assessing therapeutic effects.
Tuning the optimal diffusion-weighted MRI parameters on a 0.35-T MR-Linac for clinical implementation: A phantom study
Authors: Nardini Matteo , Capotosti Amedeo , Mazzoni Lorenzo Nicola , Cusumano Davide , Boldrini Luca , Chiloiro Giuditta , Romano Angela , Valentini Vincenzo , Indovina Luca , Placidi Lorenzo
Published: November 2022

Purpose

This study aims to assess the quality of a new diffusion-weighted imaging (DWI) sequence implemented on an MR-Linac MRIdian system, evaluating and optimizing the acquisition parameters to explore the possibility of clinically implementing a DWI acquisition protocol in a 0.35-T MR-Linac.

Materials and methods

All the performed analyses have been carried out on two types of phantoms: a homogeneous 24-cm diameter polymethylmethacrylate (PMMA) sphere (SP) and a homemade phantom (HMP) constating in a PMMA cylinder filled with distilled water with empty sockets into which five cylindrical vials filled with five different concentrations of methylcellulose water solutions have been inserted. SP was used to evaluate the dependence of diffusion gradient inhomogeneity artifacts on gantry position. Four diffusion sequences with b-values of 500 s/mm2 and 3 averages have been acquired: three with diffusion gradients in the three main directions (phase direction, read direction, slice direction) and one with the diffusion gradients switched off. The dependence of diffusion image uniformity and SNR on the number of averages in the MR sequences was also investigated to determine the optimal number of averages. Finally, the ADC values of HMP have been computed and then compared between images acquired in the scanners at 0.35 and 1.5 T.

Results

In order to acquire high-quality artifact-free DWI images, the “slice” gradient direction has been identified to be the optimal one and 0° to be the best gradient angle. Both the SNR ratio and the uniformity increase with the number of averages. A threshold value of 80 for SNR and 85% for uniformity was adopted to choose the best number of averages. By making a compromise between time and quality and limiting the number of b-values, it is possible to reduce the acquisition time to 78 s. The Passing–Bablok test showed that the two methods, with 0.35 and 1.5 T scanners, led to similar results.

Conclusion

The quality of the DWI has been accurately evaluated in relation to different sequence parameters, and optimal parameters have been identified to select a clinical protocol for the acquisition of ADC maps sustainable in the workflow of a hybrid radiotherapy system with a 0.35-T MRI scanner.
Dynamic changes in the body composition during chemotherapy for gastrointestinal tumors in the context of active nutrition intervention
Authors: Xu Ting , Li Zhenhao , Li Hui , Hou Jixiang , Li Jingjing , Jin Gaowa , Li Shaohua , Li Quanfu
Published: November 2022

Objective

To explore the dynamic changes in the body composition during chemotherapy in patients with gastrointestinal malignancies in the context of active nutrition intervention.

Methods

Patients with gastrointestinal malignancies receiving first-line chemotherapy in the Department of Medical Oncology of Ordos Central Hospital from September 2019 to January 2022 were included in this study. The Nutritional Risk Screening form 2002, Patient-Generated Subjective Global Assessment form, bioelectrical impedance analysis, and dynamic changes in L3 skeletal muscle index (SMI) (L3SMI) were assessed at baseline and after chemotherapy. The recommended protocol of the Nutrition Guidelines for Cancer Patients in China 2020 was adopted as the active nutrition intervention. Chemotherapy-related toxic adverse reactions and the degree of toxicity were recorded with the adoption of the Common Terminology Criteria for Adverse Events version 4.0 by the National Institutes of Health. The type of toxicity Chemotherapy-Induced Nauseaand Vomiting(CINV) and hematological.

Results

Fifty cases were enrolled in the study, and 38 cases completed the dynamic follow-ups. The average follow-up time was 125.63 d. In the context of active nutrition intervention, the prevalence of sarcopenia decreased from 26.3% before chemotherapy to 21.1% after chemotherapy. The average L3SMI decreased from 38.77 cm2/m2 to 38.04 cm2/m2, with a reduction of 1.41% ± 8.49% (P = 0.177). The SMI remained stable or increased in 57.9% (22/38) of patients. The benefit of active nutrition intervention was greater in the sarcopenic group than in the non-sarcopenic group (P = 0.033). There was an increased incidence of chemotherapy-related toxic adverse reactions of ≥ grade 3 during chemotherapy in the sarcopenic group compared with the muscle retention/gain group (P = 0.089).

Conclusion

Active nutrition intervention might decrease the degree of reduction of L3SMI and the incidence of sarcopenia in patients with gastrointestinal tumors and raise the proportion of patients with stable or increased SMI during chemotherapy.
Hyperprogressive disease in non-small cell lung cancer treated with immune checkpoint inhibitor therapy, fact or myth?
Authors: Britt Alec S. , Huang Caitlyn , Huang Chao H.
Published: November 2022

The therapeutic landscape for patients with non-small cell lung cancer (NSCLC) has dramatically evolved with the development and adoption of immune checkpoint inhibitors (ICI) as front-line therapy. These novel antibodies target the interactions in immunoregulatory pathways, between programmed death-1 (PD-1) and programmed death ligand-1 (PD-L1), or cytotoxic T-lymphocyte antigen 4 (CTLA-4) and B7, resulting in the activation of T cells and cytotoxic response to induce an immunologic response. ICIs have demonstrated significant survival benefits and sustained responses in the treatment of NSCLC leading to the long-term survival of up to 5 year. One unusual response to ICI is a phenomenon termed Hyperprogressive Disease (HYD), which occurs in a subset of patients for whom ICI therapy can induce rapid disease growth, which ultimately leads to poorer outcomes with an incidence rate ranging from 5 to 37% in NSCLC patients. Prior reviews demonstrated that HYD can be defined by rapid tumor progression, deterioration of patient’s symptoms or new onset of disease. The mechanism of HYD could be related to genomic and tumor microenvironment changes and altered immune response. It will be important to establish a common definition of HYD for future research and clinical care.
Features of eye movements during rapid automatized naming in Chinese children aged 7–11 years
Authors: Wang Hongan , Liu Fulin , Dong Yuhong , Yu Dongchuan
Published: November 2022

Rapid Automatized Naming (RAN) tests have been well-documented to predict reading abilities as well as a variety of neurobiological disorders (e.g., developmental dyslexia). Traditional measures of RAN tests only take into account the naming time and accuracy and cannot reflect temporal-spatial features during RAN tests. Although the eye tracking approach appears to be a promising tool for characterizing the essential temporal-spatial characteristics of RAN tests, no research has been conducted to investigate whether and how gender, age, and task-type alter those characteristics. Additionally, no study has examined eye movements during a Chinese adaptation of RAN in order to expand the applicability of RAN to developmental dyslexia in Chinese. To address the concerns stated above, this article recruited 408 children (206 males, aged 7–11 years) and adopted eight measures to quantify features of eye movements during a Chinese adaptation of RAN. Findings showed that: (1) eight eye-movement measures had the main effects of task-type and age, but only five of them had the main effect of gender (in particular, females outperformed males); (2) RAN abilities observed by eight eye-movement measures initially developed quickly before the age of 9, and then entered a relatively sluggish development phase; (3) non-alphanumeric RAN tasks generally required higher mental load (implying more fixation counts, saccade counts, and regression counts, smaller average saccade amplitude, fixation duration fluctuation and saccade amplitude fluctuation, and longer average fixation duration and total time of naming) than alphanumeric ones; (4) there were significant correlations between total time of naming (a widely-used behavioral parameter) and other eye-movement measures; and (5) there were significant correlation between eight eye-movement measures and three attention-related skills observed from a number cancellation task. The current study might offer some perspectives on the understanding of normative data of eye movements during RAN in Chinese school-aged children, as well as the applications (e.g., developmental dyslexia) associated with RAN.
Clinical and epidemiological characteristics of SARS-CoV-2 virus in ambulatory children under 2 years old
Authors: Perez Carolina A. , Ormazabal Ivana , Pérez-Valenzuela Javier , Araya Andrea , Medina Rafael A. , Perret Cecilia
Published: November 2022

Background

SARS-CoV-2 is an emerging virus that has mainly affected adults; hence, most clinical information has been derived from that population. Most pediatric cases are mild and with nonspecific symptoms requiring outpatient management. Children are a major source of spread for most traditional respiratory viruses. Their role in SARS-CoV-2 transmission was thought to be relevant. Children under the age of two comprise a group that is more susceptible to infection since vaccines have not been approved for them until recently. The knowledge of clinical manifestation of COVID-19 in young children is scarce.

Objectives

To describe the clinical, epidemiological, and demographic characteristics of children under 2 years old with confirmed COVID-19, who did not require hospitalization.

Methods

This descriptive study was performed from May, 2020 to June, 2021. Children ages 0–2 years with COVID-19, confirmed by transcriptase-polymerase chain reaction assay that were performed in laboratories of the Red de Salud UC CHRISTUS Health Network, were selected to be contacted. If the parents accepted participating and their children were not hospitalized, a survey was sent to the patients' caregivers.

Results

Of the 242 cases, 159 caregivers answered the survey (65.7%). The median age of the subjects was 14 months, and 53.5% were males. Fifty percent had comorbidities, of which one third corresponded to atopy. Ninety eight percent were secondary cases. Most of them were infected within their households (81%). The most frequent sources were their parents, followed by their grandparents. The most common symptom was fever (78%) followed by irritability (67.3%), rhinorrhea (66%), and fatigue (64.8%). Infants less than 6 months old more often presented with conjunctival congestion and less loss of appetite compared to older children (p < 0.05).

Conclusions

This study provides valuable insights regarding COVID-19 in ambulatory young children. Most cases of SARS-CoV-2 infection in children under 2 years old do not require hospitalization. There was a slight male predominance, and the majority had been infected within their households. SARS-CoV-2 infection should be suspected in children under 2 years old presenting with fever, irritability, fatigue, and rhinorrhea. Children with positive household contacts and fever should also be tested for COVID-19.
Comparative efficacy and safety of Chinese medicine injections combined with capecitabine and oxaliplatin chemotherapies in treatment of colorectal cancer: A bayesian network meta-analysis
Authors: Liu Shuzhen , Zhang Kun , Hu Xianfang
Published: November 2022

Objective: The aim of the present Bayesian network meta-analysis (NMA) was to explore the comparative effectiveness and safeaty of different Chinese Medicine injections (CMIs) combined with the XELOX regimen versus XELOX alone for colorectal cancer (CRC).

Methods: A comprehensive search for randomized controlled trials (RCTs) was performed with regard to different CMIs for the treatment of CRC in several electronic databases up to April 2022. The quality assessment of the included RCTs was conducted according to the Cochrane risk of bias tool. Standard pair-wise and Bayesian NMA were designed to comparethe effectiveness and safety of different CMIs combined with the XELOX regimen by utilizing R 4.0.3 software and Stata 15.1 software simultaneously.

Results: Initially, a total of 4296 citations were retrieved through comprehensive searching, and 32 eligible articles involving 2847 participants and 11 CMIs were ultimately included. CMIs combined with XELOX were superior to the XELOX regimen alone, and a total of ten Observation Indicators were included in the study, with the following results. Among all the injections, Shengmaiyin, Shenmai, and Kanglaite combined with the XELOX regimen were the three CMIs with the highest clinical efficiency. The top three in terms of improving CD3+ values were Shengmaiyin, Shenqifuzheng, and Cinobufacini injections. Shenqifuzheng, Shengmaiyin, and BruceaJavanica oil injections combined with the XELOX regimen performed best at raising CD4+ values. Kanglaite, Cinobufacini, and Matrine injections combined with the XELOX regimen performed best in improving CD4+/CD8+ rates. The top three in terms of improving performance status were Xiaoaiping, Shenmai, and Kanglaite injections. Cinobufacini and Brucea Javanica oil injections combined with the XELOX regimen performed best at raising CD8+ values. Shenqifuzheng, Kangai, and Matrine injections combined with the XELOX regimen performed best in improving Gastrointestinal reactions.The top threein terms of improving Leukopenia were Shenqifuzheng, Compound Kushen and Kanglaite injections. The top three in terms of improving Platelet decline were Compound Kushen, Cinobufacini and Shenqifuzheng injections. Additionally, those that were best at improving nausea and vomitting were Cinobufacini, Compound Kushen and Aidi injections.

Conclusion: The results of the analysis demonstrated thatShengmaiyin, Kanglaite, and Cinobufacini injections and the XELOX regimen were associated with morepreferable and beneficial outcomes than other CMI groups. Nevertheless, additional results from multicenter trials and high-quality studies will bevital to support our findings.

Systematic Review Registration:https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=326097, CRD42022326097.
Primary cilia: The central role in the electromagnetic field induced bone healing
Authors: Chen Yangmengfan , Lu Chao , Shang Xifu , Wu Kerong , Chen Kun
Published: November 2022

Primary cilia have emerged as the cellular “antenna” that can receive and transduce extracellular chemical/physical signals, thus playing an important role in regulating cellular activities. Although the electromagnetic field (EMF) is an effective treatment for bone fractures since 1978, however, the detailed mechanisms leading to such positive effects are still unclear. Primary cilia may play a central role in receiving EMF signals, translating physical signals into biochemical information, and initiating various signalingsignaling pathways to transduce signals into the nucleus. In this review, we elucidated the process of bone healing, the structure, and function of primary cilia, as well as the application and mechanism of EMF in treating fracture healing. To comprehensively understand the process of bone healing, we used bioinformatics to analyze the molecular change and associated the results with other studies. Moreover, this review summarizedsummarized some limitations in EMFs-related research and provides an outlook for ongoing studies. In conclusion, this review illustrated the primary cilia and related molecular mechanisms in the EMF-induced bone healing process, and it may shed light on future research.
Quantifying epithelial cell proliferation on curved surfaces
Authors: Chang Ya-Wen , Cruz-Acuña Ricardo , Tennenbaum Michael , Fragkopoulos Alexandros A. , García Andrés J. , Fernández-Nieves Alberto
Published: November 2022

Out-of-plane curvature is an important, but poorly explored geometric parameter that influences cell behavior. We address the impact of curvature on epithelial proliferation through monitoring how MDCK cells proliferate on planar and curved toroidal hydrogel substrates with a broad range of Gaussian curvatures. We illustrate in detail the imaging processing methodology to characterize curved surfaces and quantify proliferation of cells. We find that MDCK cells grow readily on both curved and flat surfaces and can cover the entire surface of the toroidal structure as long as the initial seeding is uniform. Our analysis shows that proliferation does not depend on Gaussian curvature within the range probed in our experiment, but rather on cell density. Despite epithelial proliferation is insensitive to the curvature range presented in this study, the toroidal-construct fabrication technique and image processing methodology may find utility for probing cell processes like collective migration, as it involves long-range force transmission.
Number-state preserving tensor networks as classifiers for supervised learning
Authors: Evenbly Glen
Published: November 2022

We propose a restricted class of tensor network state, built from number-state preserving tensors, for supervised learning tasks. This class of tensor network is argued to be a natural choice for classifiers as 1) they map classical data to classical data, and thus preserve the interpretability of data under tensor transformations, 2) they can be efficiently trained to maximize their scalar product against classical data sets, and 3) they seem to be as powerful as generic (unrestricted) tensor networks in this task. Our proposal is demonstrated using a variety of benchmark classification problems, where number-state preserving versions of commonly used networks (including MPS, TTN and MERA) are trained as effective classifiers. This work opens the path for powerful tensor network methods such as MERA, which were previously computationally intractable as classifiers, to be employed for difficult tasks such as image recognition.
A vegetation classification method based on improved dual-way branch feature fusion U-net
Authors: Yu Huiling , Jiang Dapeng , Peng Xiwen , Zhang Yizhuo
Published: November 2022

Aiming at the problems of complex structure parameters and low feature extraction ability of U-Net used in vegetation classification, a deep network with improved U-Net and dual-way branch input is proposed. Firstly, The principal component analysis (PCA) is used to reduce the dimension of hyperspectral remote sensing images, and the effective bands are obtained. Secondly, the depthwise separable convolution and residual connections are combined to replace the common convolution layers of U-Net for depth feature extraction to ensure classification accuracy and reduce the complexity of network parameters. Finally, normalized difference vegetation index (NDVI), gray level co-occurrence matrix (GLCM) and edge features of hyperspectral remote sensing images are extracted respectively. The above three artificial features are fused as one input, and PCA dimension reduction features are used as another input. Based on the improved U-net, a dual-way vegetation classification model is generated. Taking the hyperspectral remote sensing image of Matiwan Village, Xiong’an, Beijing as the experimental object, the experimental results show that the precision and recall of the improved U-Net are significantly improved with the residual structure and depthwise separable convolution, reaching 97.13% and 92.36% respectively. In addition, in order to verify the effectiveness of artificial features and dual-way branch design, the accuracy of single channel and the dual-way branch are compared. The experimental results show that artificial features in single channel network interfere with the original hyperspectral data, resulting in reduction of the recognition accuracy. However, the accuracy of the dual-way branch network has been improved, reaching 98.67%. It shows that artificial features are effective complements of network features.
Genetic requirements for infection-specific responses in conferring disease resistance in Arabidopsis
Authors: Yoo Sung-Je , Choi Hyo Ju , Noh Seong Woo , Cecchini Nicolás M. , Greenberg Jean T. , Jung Ho Won
Published: November 2022

Immunity in plants arises from defense regulatory circuits that can be conceptualized as modules. Both the types (and isolates) of pathogen and the repertoire of plant receptors may cause different modules to be activated and affect the magnitude of activation. Two major defense enzymes of Arabidopsis are ALD1 and ICS1/SID2. ALD1 is an aminotransferase needed for producing the metabolites pipecolic acid, hydroxy-pipecolic acid, and possibly other defense signals. ICS1/SID2 produces isochorismate, an intermediate in the synthesis of salicylic acid (SA) and SA-derivatives. Metabolites resulting from the activation of these enzymes are found in petiole exudates and may serve as priming signals for systemic disease resistance in Arabidopsis. Mutants lacking ALD1 are known to have reduced SA accumulation. To further investigate the role of ALD1 in relation to the SA-related module, immunity phenotypes of double mutants that disrupt ALD1 and ICS1/SID2 or SA perception by NPR1 were compared with each single mutant after infection by different Pseudomonas strains. Exudates collected from these mutants after infection were also evaluated for their ability to confer disease resistance when applied to wild-type plants. During infection with virulent or attenuated strains, the loss of ALD1 does not increase the susceptibility of npr1 or sid2 mutants, suggesting the main role of ALD1 in this context is in amplifying the SA-related module. In contrast, after an infection that leads to strong pathogen recognition via the cytoplasmic immune receptor RPS2, ALD1 acts additively with both NPR1 and ICS1/SID2 to suppress pathogen growth. The additive effects are observed in early basal defense responses as well as SA-related events. Thus, there are specific conditions that dictate whether the modules independently contribute to immunity to provide additive protection during infection. In the exudate experiments, intact NPR1 and ICS1/SID2, but not ALD1 in the donor plants were needed for conferring immunity. Mixing exudates showed that loss of SID2 yields exudates that suppress active exudates from wild-type or ald1 plants. This indicates that ICS1/SID2 may not only lead to positive defense signals, but also prevent a suppressive signal(s).
The influence of students’ sense of social connectedness on prosocial behavior in higher education institutions in Guangxi, China: A perspective of perceived teachers’ character teaching behavior and social support
Authors: Su Nanguang , Wang Hsuan-Po
Published: November 2022

The objective of this study is to examine the sense of social connectedness (SSC) and prosocial behavior (PB) of students in Guangxi higher education institutions in China and to further understand the factors influencing PB of higher education students. In this study, a total of 1,007 students were sampled from 8 Guangxi higher vocational schools through purposive sampling using questionnaires, of which 676 (67.1%) were male students and 331 (32.9%) were female students. This study further enriches self-determination theory by exploring the effects of teachers’ character teaching behaviors and social support on PB, using the SSC as an intrinsic motivation. In addition, the results of the study revealed that SSC, perceived teacher character teaching behaviors and perceived social support (PSS) were positively related to students’ PB. SSC affects PB not only directly, but also indirectly through the mediating role of perceived teacher character teaching behavior and perceived teacher support. Teacher character teaching behaviors and PSS also play a chain mediating role in the relationship between SSC and PB. Finally, this study provides strategies to optimize school character management for higher education students in order to meet their basic psychological needs and thus promote the production of PB.
A bibliometric review on latent topics and research trends in the growth mindset literature for mathematics education
Authors: Xu Xiaoyu , Zhang Qiaoping , Sun Jin , Wei Yicheng
Published: November 2022

Embracing a growth mindset is essential to students’ academic improvement. This manuscript aims to better understand the existing literature on the role and effects of the growth mindset in mathematics teaching and learning. It provides an updated perspective on the research regarding the growth mindset in mathematics education. The dataset comprises 85 journal articles published from 2012 to 2022 retrieved from the Web of Science (WOS) and Scopus databases. The current study applies a methodology based on bibliometric analysis techniques. The analysis reveals and corroborates several patterns from the research trends, journals, countries, and authors that have significant impacts on the research field. The findings show that USA, UK, and Norway are the most productive countries in publishing research on the topic. Moreover, the results of the thematic analysis indicate that the topics discussed among most of the articles in the dataset include engagement, implementation, persistence, children, fluid intelligence, and skills. The longitudinal trends in research themes based on study keywords illustrate an evolution in the research from the concept of mindsets to implicit theories on the growth mindset alongside academic achievement. Lastly, this study also provides an overview of the conceptual structure underlying studies on the growth mindset, which offers valuable insights into potential research topics for academics and practitioners seeking to explore the growth mindset in the future.
Group-based, autonomous, individualized training and testing of long-tailed macaques (Macaca fascicularis) in their home enclosure to a visuo-acoustic discrimination task
Authors: Cabrera-Moreno Jorge , Jeanson Lena , Jeschke Marcus , Calapai Antonino
Published: November 2022

In recent years, the utility and efficiency of automated procedures for cognitive assessment in psychology and neuroscience have been demonstrated in non-human primates (NHP). This approach mimics conventional shaping principles of breaking down a final desired behavior into smaller components that can be trained in a staircase manner. When combined with home-cage-based approaches, this could lead to a reduction in human workload, enhancement in data quality, and improvement in animal welfare. However, to our knowledge, there are no reported attempts to develop automated training and testing protocols for long-tailed macaques (Macaca fascicularis), a ubiquitous NHP model in neuroscience and pharmaceutical research. In the current work, we present the results from 6 long-tailed macaques that were trained using an automated unsupervised training (AUT) protocol for introducing the animals to the basics of a two-alternative choice (2 AC) task where they had to discriminate a conspecific vocalization from a pure tone relying on images presented on a touchscreen to report their response. We found that animals (1) consistently engaged with the device across several months; (2) interacted in bouts of high engagement; (3) alternated peacefully to interact with the device; and (4) smoothly ascended from step to step in the visually guided section of the procedure, in line with previous results from other NHPs. However, we also found (5) that animals’ performance remained at chance level as soon as the acoustically guided steps were reached; and (6) that the engagement level decreased significantly with decreasing performance during the transition from visual to acoustic-guided sections. We conclude that with an autonomous approach, it is possible to train long-tailed macaques in their social group using computer vision techniques and without dietary restriction to solve a visually guided discrimination task but not an acoustically guided task. We provide suggestions on what future attempts could take into consideration to instruct acoustically guided discrimination tasks successfully.
Mother-young bond in non-human mammals: Neonatal communication pathways and neurobiological basis
Authors: Mota-Rojas Daniel , Bienboire-Frosini Cécile , Marcet-Rius Míriam , Domínguez-Oliva Adriana , Mora-Medina Patricia , Lezama-García Karina , Orihuela Agustín
Published: November 2022

Mother-young bonding is a process by which the young establish social preferences for their mother. It fosters reproductive success and the survival of offspring by providing food, heat, and maternal care. This process promotes the establishment of the mother-young bond through the interaction of olfactory, auditory, tactile, visual, and thermal stimuli. The neural integration of multimodal sensory stimuli and attachment is coordinated into motor responses. The sensory and neurobiological mechanisms involved in filial recognition in precocial and altricial mammals are summarized and analyzed in this review.
What makes helpful online mental health information? Empirical evidence on the effects of information quality and responders’ effort
Authors: Guo Cui , Guo Xinying , Wang Guoxin , Hu Shilin
Published: November 2022

Although online health communities are popular in supporting mental health, factors leading to the helpfulness of mental health information are still under-investigated. Based on the elaboration likelihood model and motivation theory, we incorporate two types of health information-related constructs, i.e., information quality (central route) and responders’ effort (peripheral route), and adopt reputation as an extrinsic motivation to build our model. We crawl data from a Chinese online mental health community and extract 11 key variables, and then analyze the model with negative binomial regression. The empirical results indicate that the effect of the length of health information on its helpfulness votes is positively significant, while the effect of readability of health information on its helpfulness votes is relatively negative. In terms of responders’ effort, both the timelines of the response and interactive feedback have a significant positive impact on helpfulness of health information votes, while these effects are negatively moderated by the online reputation of responders. This study contributes to the literature on information evaluation mechanisms in online health communities.
Associations between preference and participation in team sports: Physical activity promotion among adolescents
Authors: Frömel Karel , Mitáš Josef , Groffik Dorota , Kudláček Michal , Háp Pavel
Published: November 2022

Background

The level of physical activity (PA) in adolescents is highly dependent on their PA preferences. PA preferences among adolescents are dominated by team PA, mostly team sports (TS). The aim of this study is to identify (a) the status and trends in the preferences of TS among Czech and Polish boys and girls in different educational and sports environments, and (b) the impact of the agreement between the preferred and simultaneously pursued TS on the structure of weekly PA and on the meeting of PA recommendations.

Methods

The research was carried out between 2009 and 2022 in the Czech Republic and Poland and included 2,939 boys and 4,427 girls aged 15–19 years. Preferences and participation in TS were identified using a PA preference questionnaire and weekly PA using the International Physical Activity Questionnaire-Long Form. Trends in TS preferences were analyzed over 27-year periods. The participants were divided into groups by agreement and disagreement between the preferred and pursued TS, and by agreement and disagreement between the preferences of TS and participation in organized TS.

Results

Throughout the 14-year study period, boys in both countries preferred soccer, whereas girls favored volleyball. Agreement between preferences and participation in TS increased vigorous PA in Czech and Polish boys and girls. The agreement between the preferences for TS and participation in organized TS had the most significant effect on increasing vigorous PA in Czech and Polish boys and girls and on total PA in boys in both countries. Those who preferred and participated in TS were more likely to meet PA recommendations.

Conclusion

Respecting the status and trends of TS preferences in supporting participation in TS increases adolescents' PA and their achievement of PA recommendations. Increasing active participation in organized TS among boys and girls may support regular PA and help eliminate the negative effects of the pandemic on adolescents' PA.
Estimating the non-linear effects of urban built environment at residence and workplace on carbon dioxide emissions from commuting
Authors: Liu Qingchun , Zhao Peixiong , Zhang Yingying , Zhang Zhihui , Yang Jun
Published: November 2022

Understanding the relationship between CO2 emissions from commuting (CEC) and the built environment is crucial for sustainable transportation and land-use policymaking during the process of constructing a low carbon city. Previous studies usually assume that the relationship is linear, which may lead to inaccurate CEC prediction and ineffective policy. Using daily travel survey data of residents in the central city of Jinan, this study adopted a gradient boosting decision tree model to explore the threshold effect and the non-linear relationship between built environments and CEC. Our findings suggest that 40% of CEC is related to the workplace environment, which is higher than the residential environment and other socioeconomic variables. The five most important variables are road density within 1 km radius of the workplace (13.493%), distance to the center at workplace and residence (10.908%, 10.530%), population density at workplace (9.097%) and distance to bus stop from the residence (8.399%). Distance to city center plays the most important role and its non-linear relationship reflects the influence of the urban spatial structure of Jinan on CEC. Furthermore, the thresholds and non-linear relationships provide planning guidelines to support urban planning development policies for low carbon city.
Substituting sedentary time with physical activity in youngest-old to oldest-old community-dwelling older adults: Associations with body composition
Authors: Lai Ting-Fu , Liao Yung , Hsueh Ming-Chun , Yen Hsin-Yen , Park Jong-Hwan , Chang Jae Hyeok
Published: November 2022

Introduction

Several studies have suggested that physical activity and sedentary behavior are strongly and independently associated with body composition and obesity. However, few studies have investigated whether substituting sedentary time with moderate-to-vigorous physical activity is associated with body composition in older adults, especially among those older than 75 years.

Methods

This study examined the associations between replacing sedentary time with physical activity and obesity indices in a sample of 199 community-dwelling older Taiwanese adults (52.3% women; 80.6 ± 7.0 years). Physical activity and sedentary behavior were measured using the triaxial accelerometer (GT3X+, ActiGraph). Body composition indices were computed through a bioelectrical impedance analysis of body fat percentage and appendicular skeletal muscle mass index. Waist circumference and body mass index were measured by trained personnel. Isotemporal substitution analyses estimated these associations after adjusting for sociodemographic characteristics and nutritional status.

Results

The study showed that substituting 30 min of sedentary behavior per day with moderate-to-vigorous physical activity was associated with lower body fat percentage (B = −1.408, 95% CI = −2.55, −0.264), body mass index (B = −0.681, 95% CI = −1.300, −0.061), and waist circumference (B = −2.301, 95% CI = −4.062, −0.539) after adjusting for covariates. Substituting 30 min of light physical activity per day with moderate-to-vigorous physical activity was associated with lower waist circumference (B = −2.230, 95% CI = −4.173, −0.287) after adjusting for covariates. Stratified analyses indicated that associations were stronger in youngest-old older adults, and in older adults with a normal nutritional status (vs. underweight status).

Discussion

These findings confirm the importance of reducing sedentary behavior and increasing moderate-to-vigorous physical activity among older adults to improve their physical health, as well as highlighting the importance of taking into account nutritional status and age group.
Development and psychometric evaluation of the trauma nurse core competency scale
Authors: Wang Lu , Zhang Xinping , Zhang Ping , Zhou Qian , Wang Qianning , Cheng Jing
Published: November 2022

Background

Trauma, especially severe trauma, has become a significant public health problem worldwide. This postulates higher requirements on the core competence of trauma nurses. However, limited scales exist to assess it validly and reliably. This study aims to develop and evaluate the psychometric properties of the Trauma Nurse Core Competency Scale (TNCCS).

Methods

This study included three stages. First, scale development was based on a broad literature review and two rounds of Delphi expert consultation. Then, a pre-investigation was conducted with 106 trauma nurses, and a formal scale was formed. Finally, scale evaluation of reliability and validity, based on a cross-sectional study, was tested with 1,107 trauma nurses. Content validity and structure validity were used to evaluate the validity of TNCCS. The Cronbach's α coefficient and the split-half reliability coefficient were used to evaluate the reliability of TNCCS.

Results

The final scale contained 46 items under three dimensions, which were Knowledge and skills (21 items), Comprehensive literacy (20 items), and Professionalism & physical and mental health (5 items). The Content Validity Index (CVI) of the total scale was 0.980. The goodness-of-fit indices (χ2/df = 3.547, RMSEA = 0.065, GFI = 0.929, CFI = 0.912, NFI = 0.904, IFI = 0.929) signified a good fit for this model. The Construct Reliability (CR) ranged from 0.89 to 0.98, and the Average Variance Extracted (AVE) ranged from 0.62 to 0.69. The Cronbach's α coefficient of the scale was 0.99, ranging from 0.90 to 0.98 for the subscales. The split-half reliability coefficient was 0.84.

Conclusions

The TNCCS demonstrated good validity and reliability, and it could be used to assess the core competency of trauma nurses. The present study has valuable implications for nursing managers to take corresponding measures to train and improve the core competence of trauma nurses.