bluuebunny/crossref_metadata_2025 huggingface dataset:
Attention model of EEG signals based on reinforcement learning
Authors: Zhang Wei , Tang Xianlun , Wang Mengzhou
Published: November 2024

Background

Applying convolutional neural networks to a large number of EEG signal samples is computationally expensive because the computational complexity is linearly proportional to the number of dimensions of the EEG signal. We propose a new Gated Recurrent Unit (GRU) network model based on reinforcement learning, which considers the implementation of attention mechanisms in Electroencephalogram (EEG) signal processing scenarios as a reinforcement learning problem.

Methods

The model can adaptively select target regions or position sequences from inputs and effectively extract information from EEG signals of different resolutions at multiple scales. Just as convolutional neural networks benefit from translation invariance, our proposed network also has a certain degree of translation invariance, making its computational complexity independent of the EEG signal dimension, thus maintaining a lower learning cost. Although the introduction of reinforcement learning makes the model non differentiable, we use policy gradient methods to achieve end-to-end learning of the model.

Results

We evaluated our proposed model on publicly available EEG dataset (BCI Competition IV-2a). The proposed model outperforms the current state-of-the-art techniques in the BCI Competition IV- 2a dataset with an accuracy of 86.78 and 71.54% for the subject-dependent and subject-independent modes, respectively.

Conclusion

In the field of EEG signal processing, attention models that combine reinforcement learning principles can focus on key features, automatically filter out noise and redundant data, and improve the accuracy of signal decoding.
Aberrant intrinsic brain activities in functional gastrointestinal disorders revealed by seed-based d mapping with permutation of subject images
Authors: Shuai Yibin , Wang Benhong , Zhang Xiaomei , Shen Zhongxia , Han Shengbo , Zhou Cong
Published: November 2024

Functional gastrointestinal disorders (FGIDs) are characterized by complex interactions between the gut and brain, leading to altered brain function and symptom manifestation. We used neuroimaging meta-analytic techniques in order to analyze the correlation between FGIDs and aberrant brain activity. A systematic review was performed to ascertain resting-state functional magnetic resonance imaging (rs-fMRI) studies examining brain function in FGIDs. Pooled meta-analyses by seed-based d mapping with permutation of subject images (SDM-PSI) were performed to assess variations in regional brain activity, and sensitivity analyses were applied to evaluate the robustness of findings. Meta-regression analyses were then carried out to examine possible links between demographic factors and neuroimaging changes. Our meta-analysis revealed significant changes in regional brain activities among FGIDs patients compared to healthy controls (HC). Increased brain activation was observed in several regions including the postcentral gyrus, calcarine fissure/surrounding cortex, superior frontal gyrus, and insula, while decreased activity was noted in the left posterior cingulate gyrus, right median cingulate/paracingulate gyri, and the left caudate nucleus. Furthermore, meta-regression analyses indicated negative associations between disease duration and alterations in specific brain regions. These findings underscored the intricate interplay between gut dysfunction and aberrant brain activity in FGIDs. Early intervention and multidisciplinary approaches addressing both gastrointestinal symptoms and associated emotional distress are crucial for improving the quality of life of the patients.
A review of epilepsy detection and prediction methods based on EEG signal processing and deep learning
Authors: Zhang Xizhen , Zhang Xiaoli , Huang Qiong , Chen Fuming
Published: November 2024

Epilepsy is a chronic neurological disorder that poses significant challenges to patients and their families. Effective detection and prediction of epilepsy can facilitate patient recovery, reduce family burden, and streamline healthcare processes. Therefore, it is essential to propose a deep learning method for efficient detection and prediction of epileptic electroencephalography (EEG) signals. This paper reviews several key aspects of epileptic EEG signal processing, focusing on epilepsy detection and prediction. It covers publicly available epileptic EEG datasets, preprocessing techniques, feature extraction methods, and deep learning-based networks used in these tasks. The literature is categorized based on patient independence, distinguishing between patient-independent and non-patient-independent studies. Additionally, the evaluation methods are classified into general classification indicators and specific epilepsy prediction criteria, with findings organized according to the prediction cycles reported in various studies. The review reveals several important insights. Despite the availability of public datasets, they often lack diversity in epilepsy types and are collected under controlled conditions that may not reflect real-world scenarios. As a result, signal preprocessing methods tend to be limited and may not fully represent practical conditions. Feature extraction and network designs frequently emphasize fusion mechanisms, with recent advances in Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) showing promising results, suggesting that new network models warrant further exploration. Studies using patient-independent data generally produce better results than those relying on non-patient-independent data. Metrics based on general classification methods typically perform better than those using specific epilepsy prediction criteria, though future research should focus on the latter for more accurate evaluation. Epilepsy prediction cycles are typically kept under 1 h, with most studies concentrating on intervals of 30 min or less.
Using Long Short-Term Memory (LSTM) recurrent neural networks to classify unprocessed EEG for seizure prediction
Authors: Chambers Jordan D. , Cook Mark J. , Burkitt Anthony N. , Grayden David B.
Published: November 2024

Objective

Seizure prediction could improve quality of life for patients through removing uncertainty and providing an opportunity for acute treatments. Most seizure prediction models use feature engineering to process the EEG recordings. Long-Short Term Memory (LSTM) neural networks are a recurrent neural network architecture that can display temporal dynamics and, therefore, potentially analyze EEG signals without performing feature engineering. In this study, we tested if LSTMs could classify unprocessed EEG recordings to make seizure predictions.

Methods

Long-term intracranial EEG data was used from 10 patients. 10-s segments of EEG were input to LSTM models that were trained to classify the EEG signal. The final seizure prediction was generated from 5 outputs of the LSTM model over 50 s and combined with time information to account for seizure cycles.

Results

The LSTM models could make predictions significantly better than a random predictor. When compared to other publications using the same dataset, our model performed better than several others and was comparable to the best models published to date. Furthermore, this framework could still produce predictions significantly better than chance when the experimental paradigm design was altered, without the need to reperform feature engineering.

Significance

Removing the need to perform feature engineering is an advancement on previously published models. This framework can be applied to many different patients’ needs and a variety of acute interventions. Also, it opens the possibility of personalized seizure predictions that can be altered to meet daily needs.
An overview of invasive micropapillary carcinoma of the breast: past, present, and future
Authors: Qiu Pu , Cui Qiuxia , Huang Shengchao , Zhang Yuanqi , Zhang Haitao , Luo Hui
Published: November 2024

Invasive micropapillary carcinoma of the breast (IMPC) exhibits a unique micropapillary structure and “inside-out” growth pattern. Despite its extremely low incidence, IMPC has attracted considerable attention owing to its poor prognosis. Since Siriaunkgul and Tavassoli first proposed the term IMPC in 1993 to describe its morphological characteristics, with tumor cell clusters arranged in a pseudopapillary structure within the glandular cavity, its diagnostic rate has substantially increased. Based on the in-depth study of IMPC, a more comprehensive understanding of its epidemiology, clinicopathological features, and diagnostic criteria has been achieved in recent years. The pathogenesis and specific therapeutic targets of IMPC remain unclear. However, numerous studies have delved into its high-risk biological behavior. This review discusses the opportunities and challenges associated with IMPC.
Effect of endometriosis on prognosis of ovarian clear cell carcinoma: a 10-year retrospective study
Authors: He Yang , Cao Bo , Huang Yi
Published: November 2024

Introduction

Endometriosis is considered as a precancerous lesion for OCCC; however its prognostic significance remains controversial. This study aims to evaluate the prognostic significance of endometriosis in patients with ovarian clear cell carcinoma (OCCC) and analyze the impact of other clinical pathological features on prognosis. Additionally, we also assess the role of laparoscopic surgery and chemotherapy in OCCC, hoping to provide evidence for improving the clinical diagnosis and treatment of OCCC.

Methods

A retrospective analysis was conducted on medical records of 105 OCCC patients diagnosed and treated at the Gynecologic Cancer Center of Hubei Cancer Hospital in China from 2013 to 2022. Based on the presence or absence of endometriosis, OCCC patients were divided into two groups: a group with ovarian endometriosis consisting of 44 cases (41.9%) (EC-positive group) and a group without ovarian endometriosis consisting of 61 cases (58.1%)(EC-negative group). Clinical pathological characteristics, progression-free survival (PFS), and overall survival (OS) were compared between the two groups.

Results

There were no statistically significant differences between the two groups in terms of age, CA125, tumor size, FIGO stage, adjuvant chemotherapy regimen, or chemotherapy efficacy (P>0.05). Residual tumor after surgery, staging, site invasion involvement, presence of ascites, positive cytology in ascitic fluid, lymph node metastasis, and chemotherapy efficacy were predictive factors for recurrence among patients with statistical significance (P<0.10); chemotherapy efficacy remained as independent predictors for recurrence (P<0.05); staging and chemotherapy efficacy remained as independent predictors for survival (P<0.05). There was no statistically significant difference observed between both groups regarding OS or PFS.

Conclusion

In this study, co-existing endometriosis was not a prognostic factor for survival in patients with OCCC. The most important predictors of OS and PFS were FIGO stage and chemotherapy sensitivity. The intrinsic link between endometriosis and OCCC requires larger, better-designed prospective studies to draw more definitive conclusions.
Insulin-like growth factor-binding protein-3 is induced by tamoxifen and fulvestrant and modulates fulvestrant response in breast cancer cells
Authors: Flynn Keenan L. , Zheng Yan , Sowers Janel Y. , Masangya Nefretiri J. T. , Houston Kevin D.
Published: November 2024

Introduction

Insulin-like growth factor binding protein-3 (IGFBP-3) exerts varying effects on estrogen receptor alpha (ERα)-positive and triple-negative breast cancer (TNBC) cells. In ERα-positive cells, IGFBP-3 is antiproliferative and proapoptotic. In contrast, IGFBP-3 stimulates proliferation in triple-negative breast cancer (TNBC) cells via EGFR activation.

Methods

To identify potential mechanisms that underlie the opposing effects of IGFBP-3 on these two breast cancer subtypes, IGFBP-3 expression was determined in cell line models of both ERα-positive breast cancer and TNBC, and cells were treated with antiestrogens tamoxifen and fulvestrant.

Results and discussion

MCF-7 and T-47D cells expressed low levels of IGFBP-3 when compared to MDA-MB-231 and MDA-MB-468 cells. MCF-7 cells with acquired resistance to the selective estrogen receptor degrader fulvestrant expressed high IGFBP-3 and MCF-7 cells with constitutive IGFBP-3 expression were fulvestrant resistant. IGFBP-3 expression was increased in all cell lines upon treatment with fulvestrant or the selective estrogen receptor modulator tamoxifen and both fulvestrant and tamoxifen increased TNBC cell proliferation. Further, IGFBP-3 expression was increased by treatment with the GPER1 agonist G-1 and attenuated upon treatment with P17, a YAP/TAZ inhibitor. These data suggest that IGFBP-3 modulates breast cancer cells and is a mediator of breast cancer cell response to fulvestrant and tamoxifen.
Eradication of proliferative verrucous leukoplakia with toll-like receptor 7 agonist (topical imiquimod): a case report
Authors: Townsend Melanie , Kejner Alexandra E. , Nourollah-Zadeh Farzad , Rizzante Fabio A.P. , Woods Tina R. , Rathore Sonali , Alterman Douglas , Teich Sorin , Albergotti William G. , Newman Jason G. , Yoon Angela J.
Published: November 2024

Proliferative verrucous leukoplakia (PVL) is an aggressive and distinct type of oral precancerous lesion characterized by warty surfaced white plaque diffusely involving oral mucosa. Surgical excision is the treatment of choice. However, PVL has persistent and recurrent growth patterns, requiring multiple surgical procedures. Surgical intervention is especially challenging if PVL extends between teeth limiting access. These interproximally located lesions have a high propensity to undergo malignant transformation. We report a case of a 53-year-old man with recurrent PVL diffusely covering the maxillary and mandibular gingiva. Despite complete surgical excisions, PVL recurred, and a focal area in the interproximal mandibular gingiva progressed to invasive squamous cell carcinoma requiring marginal resection. The remaining PVL areas were treated with topical imiquimod (toll-like receptor 7 agonist) for six months, resulting in complete clinical and histological resolution. Topical agents can cover a larger surface area and penetrate in between interproximal areas. Importantly, it allows for maximal local exposure with minimal systemic toxicity, essential for long-term treatment and prophylactic use of the agent to prevent relapse.
Diagnostic accuracy of linked color imaging and white light imaging for early gastric cancer and gastrointestinal metaplasia: a systematic review and meta-analysis
Authors: Duan Hui , Zhou Xinxu , Li Qian , Liu Liu , Wang Qiong , Wu Kaiwen , Jiang Lin , Sun Xiaobin
Published: November 2024

Background

Conventional white light imaging (WLI) frequently misses gastric cancer, resulting in a high rate of undiagnosed cases. This study compares the effectiveness of linked color imaging (LCI) and WLI in detecting early gastric cancer and gastrointestinal metaplasia, aiming to improve clinical diagnostic practices through evidence-based medical insights.

Methods

The QUADAS-2 tool evaluated the quality of the studies. Additionally, methods like Split Component Synthesis (SCS) were utilized to evaluate the diagnostic performance of LCI and WLI.

Results

Eleven studies involving a total of 7836 patients were included in the meta-analysis. Comparative analysis revealed that LCI demonstrated a statistically significant superiority over WLI in terms of the detection rates of EGC and GIM (detection rate of EGC: LCI vs WLI, 85% vs. 56.7%, p=0.004, OR 4.78, 95% CI 2.33-9.82, I2 = 71%; detection rate of GIM: LCI vs WLI, 88.9% vs. 40.1%, p=0.0003, OR 9.94, 95% CI 5.59-17.68, I2 = 71%). Additionally, LCI exhibited better sensitivity and specificity for the diagnosis of EGC and GIM compared to WLI. For the entire cohort, the sensitivity of LCI for EGC detection was 80% (95% CI 71%-86%) with a specificity of 82% (95% CI 63%-92%), while for GIM detection, the sensitivity was 87% (95% CI 81%-92%) with a specificity of 85% (95% CI 77%-91%).

Conclusions

The detection efficiency of LCI for EGC and GIM is better than that of WLI, and LCI is recommended as the main screening method for EGC and GIM.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42023452140.
Progress and perspectives on BMP9-ID1 activation of HIF-1α and VEGFA to promote angiogenesis in hepatic alveolar echinococcosis
Authors: Ke Fei , Xu Meng-Zhao , Ma Long , Chen Qi-Dong , He Bei-Bei , A Ji-De
Published: November 2024

Hepatic alveolar echinococcosis is a zoonotic disease with a high incidence in western China, particularly affecting plateau areas such as Qinghai, Tibet, and Xinjiang. Research has indicated the presence of neovascularization in the peripheral infiltration area of hepatic alveolar echinococcosis, with a strong correlation between angiogenesis and vascular endothelial growth factor A (VEGFA) and hypoxia-inducible factor 1-alpha (HIF-1α) overexpression. Given the similarities between hepatic alveolar echinococcosis and liver cancer, current research is focused on treating the disease by targeting related signaling pathways using molecular drugs used for liver cancer. This article aims to summarize the biological regulation of HIF-1α and VEGFA overexpression in angiogenesis related to hepatic alveolar echinococcosis, as well as the impact of the BMP9-ID1 signaling pathway on the expression levels of HIF-1α and VEGFA, providing new insights for potential treatment strategies.
Segmentation of glioblastomas via 3D FusionNet
Authors: Guo Xiangyu , Zhang Botao , Peng Yue , Chen Feng , Li Wenbin
Published: November 2024

Introduction

This study presented an end-to-end 3D deep learning model for the automatic segmentation of brain tumors.

Methods

The MRI data used in this study were obtained from a cohort of 630 GBM patients from the University of Pennsylvania Health System (UPENN-GBM). Data augmentation techniques such as flip and rotations were employed to further increase the sample size of the training set. The segmentation performance of models was evaluated by recall, precision, dice score, Lesion False Positive Rate (LFPR), Average Volume Difference (AVD) and Average Symmetric Surface Distance (ASSD).

Results

When applying FLAIR, T1, ceT1, and T2 MRI modalities, FusionNet-A and FusionNet-C the best-performing model overall, with FusionNet-A particularly excelling in the enhancing tumor areas, while FusionNet-C demonstrates strong performance in the necrotic core and peritumoral edema regions. FusionNet-A excels in the enhancing tumor areas across all metrics (0.75 for recall, 0.83 for precision and 0.74 for dice scores) and also performs well in the peritumoral edema regions (0.77 for recall, 0.77 for precision and 0.75 for dice scores). Combinations including FLAIR and ceT1 tend to have better segmentation performance, especially for necrotic core regions. Using only FLAIR achieves a recall of 0.73 for peritumoral edema regions. Visualization results also indicate that our model generally achieves segmentation results similar to the ground truth.

Discussion

FusionNet combines the benefits of U-Net and SegNet, outperforming the tumor segmentation performance of both. Although our model effectively segments brain tumors with competitive accuracy, we plan to extend the framework to achieve even better segmentation performance.
Impact of entrepreneurs' prior experience on their new ventures' early-stage performance: the mediation effect of entrepreneurial mindset level
Authors: Chen Sihui , Zhong Lichen , Wang Xiao , Chen Bolong
Published: November 2024

Introduction

Does an entrepreneur's prior experience affect the early-stage performance of new ventures? This study further explores the mediating effect of the entrepreneurial mindset, indicated by the quality of business plans, between entrepreneurs' prior experience and the early-stage performance of their new ventures.

Methods

The sample consists of 157 valid formal business plan documents from the “2021 Gusu Science and Technology Angel Program.” The study employs an evaluation system developed to measure the quality of these business plans and assess the entrepreneurial mindset levels.

Results

The results reveal the mechanism through which prior experience influences early-stage performance. It indicates that entrepreneurs aiming for high long-term new venture performance should focus on learning and acquiring diverse experiences.

Discussion

The opportunity to write and evaluate their business plans can serve as a self-assessment tool for their entrepreneurial mindset using the evaluation system developed in this study. This approach can significantly enhance their performance and contribute to entrepreneurial success. Moreover, by employing this evaluation system, educators and educational institutions can better understand the entrepreneurial mindset levels of trainees (entrepreneurs) and tailor their courses more effectively.
The association between anthocyanin intake and myopia in adolescents: a cross-sectional study of NHANES
Authors: Chen Ying , Xu Qinglin , Lv Lu , Liu Yun , Zhang Zhidan , Yang Zhikuan
Published: November 2024

Aim

The study aimed to explore the relationship of anthocyanin and its subtypes with myopia in adolescents aged 12–17 years.

Methods

Adolescents data for this cross-sectional study were extracted from the National Health and Nutrition Examination Survey (NHANES) 2007–2008. Anthocyanin and subtypes were obtained using the Nutrient Database for Dietary Studies codes. Myopia was defined as a spherical equivalent of −1.0 diopters or less. The relationships between anthocyanin and subtypes intake and myopia were determined utilizing weighted univariate and multivariate logistic regression models. The relationships were also explored in gender, leisure time, physical activity, sedentary activity, BMI, and serum cotinine subgroups.

Results

A total of 839 adolescents were included for further analysis, among them 245 have myopia. Malvidin (34.98%) was the subtype with the largest anthocyanin intake, followed by cyanidin (22.94%). Compared to adolescents without anthocyanin intake, total anthocyanin intake was related to a lower incidence of myopia (OR = 0.69, 95%CI: 0.51–0.92). Higher intake of cyanidin (OR = 0.69, 95%CI: 0.52–0.92), petunidin (OR = 0.64, 95%CI: 0.42–0.97), and delphinidin (OR = 0.71, 95%CI: 0.51–0.99) were associated with lower odds of myopia in adolescents. Higher total anthocyanin intake was related to lower odds of myopia in those females, leisure time physical activity ≥60 min/day, sedentary time <8 h/day, overweight or obese, and serum cotinine ≥0.05 ng/ml.

Conclusion

Higher total anthocyanin intake, particularly cyanidin, petunidin, and delphinidin, was related to a lower incidence of myopia in adolescents. Increasing dietary anthocyanin intake may be an effective prevention strategy for ocular health.
Tetramethylpyrazine inhibits ferroptosis in spinal cord injury by regulating iron metabolism through the NRF2/ARE pathway
Authors: Tao Jingwei , Zhou Jingya , Zhu Hanjie , Xu Lin , Yang Jizhou , Mu Xiaohong , Fan Xiao
Published: November 2024

Background

Tetramethylpyrazine (TMP) is a natural alkaloid compound with antioxidant and neuroprotective effects. We hypothesized that TMP could exert neuroprotective effects by inhibiting ferroptosis through modulating iron metabolism, but its mechanism is unclear. Through in vivo and in vitro experiments, we have explored how TMP can regulate neurons’ iron metabolism through the NRF2/ARE pathway to Inhibit ferroptosis.

Methods

In the in vivo experiment, the effects of TMP on nerve function and secondary spinal cord injury were observed through behavioral tests and morphology staining. Transmission electron microscopy, molecular biology tests and immunofluorescence staining were used to investigate the role of TMP in the regulation of iron metabolism and ferroptosis through the Nrf2/ARE pathway. Using in vitro experiments to investigate the mechanism of TMP in inhibiting ferroptosis through the Nrf2/ARE pathway.

Results

Firstly, through in vivo experiments, we found that TMP improves motor function of rats with spinal cord injury, reduces spinal cord tissue damage and nerve cell death caused by secondary injury. Moreover, neuronal death and the formation of spinal cord cavities are inhibited by TMP. By regulating lipid peroxidation, TMP can inhibit mitochondrial damage and reduce ROS accumulation. Our study also demonstrated that TMP regulates iron metabolism through the NRF2/ARE pathway to inhibit ferroptosis and repair spinal cord injury. To further explore the regulatory mechanisms of TMP we down-regulating Nrf2 expression in subsequent in vitro experiments. We find that a key ferroptosis pathway, lipid peroxidation, can be regulated by TMP. Additionally, TMP inhibits iron overload-mediated ferroptosis by increasing Nrf2 transcriptional activity.

Conclusion

A regulatory effect of TMP on the NRF2/ARE pathway was found in both in vitro and in vivo experiments. It promotes the transcription and translation of iron metabolizing and antioxidant molecules. Our study explored the inhibitory effect of TMP on ferroptosis from the iron metabolism pathway and provided new ideas for the treatment of SCI.
Broiler breeder putative lipid biomarkers associated with sperm mobility
Authors: Bond A. , Mills K. M. , Ferreira C. R. , Harford I. , Flack B. , Long J. A. , Diehl K.
Published: November 2024

Introduction

Biomarkers indicative of sperm mobility in broiler breeders would provide the ability to screen for fertility potential, with a positive correlation established between sperm mobility and fertilization potential. This study characterized the lipidome of seminal plasma (SP), sperm cell (SC), and whole semen (WS) isolated from broiler breeder roosters with different sperm mobility phenotypes across key timepoints of the semen production cycle.

Methods

WS samples were collected from five high mobility roosters and five low mobility roosters during early, mid, and late semen production, with SP separated from SC by centrifugation. Using multiple reaction monitoring (MRM) profiling, a total of 3241 lipid species were identified in rooster semen across ten lipid classes. Metaboanalyst 6.0 was used to analyze the relative ion intensity for each lipid species due to sperm mobility phenotype through a t-test and due to timepoint through a one-way ANOVA, with lipid ontology enrichment analysis performed using LION. Metaboanalyst 6.0 was also used to perform biomarker analysis for the sperm mobility phenotype in WS samples.

Results

Lipid class total abundance differed with sample type, sperm mobility phenotype, and timepoint. A total of 31, 99, and 112 lipid species were found to be different between low and high mobility males across timepoints in the SP, SC, and WS samples, respectively. Lipid ontology enrichment analysis revealed stark contrasts in lipid-based functions key to sperm survival, storage, and productivity between low and high sperm mobility phenotypes. Through biomarker analysis, 8 lipid species were identified as excellent sperm mobility biomarkers that could be detected in early and mid-semen production.

Discussion

Timepoint based changes in lipid species were unique to each sperm mobility phenotype, with low sperm mobility roosters exhibiting a larger number of lipid species changes over the semen production cycle in the SP and SC when compared to high sperm mobility roosters. This is the first study to characterize poultry semen lipidome using MRM profiling. The lipid species identified between low and high sperm mobility roosters could be utilized in the poultry industry as potential biomarkers of fertility potential, with the ability to screen for the economical trait of fertility potential early in semen production.
Identification and mapping of QTLs for late blight resistance in the wild tomato (Solanum pimpinellifolium) accession PI 270442 via selective genotyping
Authors: Sullenberger Matthew T. , Foolad Majid R.
Published: November 2024

Late blight (LB), caused by the oomycete Phytophthora infestans, is one of the most devastating diseases of the cultivated tomato (Solanum lycopersicum) worldwide. Attempts to control the disease through fungicide applications are becoming less effective, as new and aggressive genotypes of the pathogen emerge. Further, some new P. infestans genotypes overcome the currently available resistance in tomato, necessitating the identification, characterization, and utilization of new sources of host resistance. In the present study, to detect QTLs underlying LB resistance in a recently-identified LB-resistant S. pimpinellifolium accession (PI 270442), an F2 population (n = 1,175) of a cross between PI 270442 and LB-susceptible tomato breeding line Fla. 8059 was screened for LB resistance and subjected to selective genotyping. A total of 19,839 single-nucleotide polymorphisms (SNPs) were identified from reduced representation libraries (RRLs) constructed from the parents, of which 212 were used to build a genetic linkage map and locate QTLs. Ten LB-resistance QTLs were identified in PI 270442 on chromosomes 1, 2, 5, 6, 10, 11 and 12, of which those on chromosomes 6, 10 and 11 were the strongest and co-localized with previously-reported LB-resistance QTLs. Genomic locations of the QTLs were compared with the tomato physical map, which resulted in the identification of several candidate genes that might be underpinning the LB resistance in PI 270442. The identified QTL-linked markers can be used in breeding programs to transfer resistance from PI 270442 into the cultivated tomato via marker-assisted breeding and to develop near-isogenic lines for fine mapping of the QTLs.
A psychological reaction of higher education students to the new national exit exam in the case of Dilla University, 2023
Authors: Kassaw Chalachew , Demareva Valeriia , Getu Samrawit , Negash Misrak , Alemayehu Selamawit
Published: November 2024

Introduction

Test anxiety is an emotional state characterized by physiological and behavioral responses linked to the fear of poor exam results. It can result in a significant impact in the overall academic achievement of students. Addressing the contributing factors of the problem is better to intervene in the academic challenges of students and create a conducive learning environment. Thus, this study investigated the association between test anxiety and the newly implemented national exit exam program among prospective graduate students at Dilla University in 2023.

Methods

A community-based cross-sectional design was employed, involving 357 participants recruited from August 15 to September 14, 2023. Data collection utilized structured questionnaires combined with interviews. The Westside Test Anxiety Inventory (WTAI) assessed test anxiety levels. Epi Info version 7 facilitated data entry, with subsequent analysis conducted using SPSS version 25. A p < 0.05 was used to determine statistical significance in the multivariate logistic regression model.

Results

The prevalence of test anxiety associated with the national exit exam among prospective graduates at Dilla University was 68.9% (95% CI: 63.9–73.7%). The analysis identified significant associations between test anxiety and several factors: non-formal educational background of parents (AOR = 2.84, 95% CI: 2.12–4.65), moderate social support (AOR = 0.24, 95% CI: 0.12–0.46), and poor coping mechanisms (AOR = 3.67, 95% CI: 2.45–5.67).

Conclusion

This study revealed a substantial prevalence of test anxiety among graduating students about the national exit exam. The findings suggest that factors such as limited social support and inadequate coping mechanisms contribute to test anxiety. Targeted interventions, including social support programs, counseling services, coping mechanism training, parental education, and support for students with lower academic performance, may be beneficial in mitigating test anxiety.
Exposure to air pollution and non-neoplastic digestive system diseases: findings from the China health and retirement longitudinal study
Authors: Kou Yanqi , Du Shenshen , Du Weiwei , Ye Weixiang , Yang Yuping , Qin Ling
Published: November 2024

Objectives

Increasing concern about air pollution’s impact on public health underscores the need to understand its effects on non-neoplastic digestive system diseases (NNDSD). This study explores the link between air pollution and NNDSD in China.

Methods

We conducted a national cross-sectional study using 2015 data from the China Health and Retirement Longitudinal Study (CHARLS), involving 13,046 Chinese adults aged 45 and above from 28 provinces. Satellite-based spatiotemporal models estimated participants’ exposure to ambient particulate matter (3-year average). An analysis of logistic regression models was conducted to estimate the association between air pollutants [particulate matter with a diameter ≤ 2.5 μm (PM2.5) or ≤10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO)] and NNDSD. Interaction analyses were conducted to examine potential modifiers of these associations.

Results

The prevalence of NNDSD among participants was 26.29%. After adjusted for multivariate factors, we observed a 6% [odd ratio (OR) = 1.06, 95% confidence interval (CI): 0.94, 1.19], 23% (OR = 1.23, 95% CI: 1.09, 1.38), 26% (OR = 1.26, 95% CI: 1.12, 1.41), 30% (OR = 1.30, 95% CI: 1.16, 1.46), 13% (OR = 1.13, 95% CI: 1.01, 1.27) and 27% (OR = 1.27, 95% CI: 1.13, 1.43) increase in NNDSD risk with an interquartile range increase in PM2.5 (23.36 μg/m3), PM10 (50.33 μg/m3), SO2 (17.27 μg/m3), NO2 (14.75 μg/m3), O3 (10.80 μg/m3), and CO (0.42 mg/m3), respectively. Interaction analyses showed that PM2.5, SO2, and O3 had stronger effects on NNDSD risk among older adults, highly educated individuals, smokers, and married people, respectively.

Conclusion

This study demonstrates that long-term exposure to PM2.5, PM10, SO2, NO2, O3, and CO is positively associated with NNDSD risk in Chinese adults aged 45 and above. Implementing intervention strategies to enhance air quality is essential for reducing the burden of NNDSD.
Depressive symptoms and their influencing factors among older adults in China: a cross-sectional study
Authors: Hu Xinyu , Liu Huan , Liu Qingwei , Yuan Ting , Duan Mengying , Luo Yang , Min Jiahui , Mei Guangliang , Tao Xiubin , Xuan Bin , Zhang Ming
Published: November 2024

Background

With the acceleration of population aging, depressive symptoms in older adults have become an urgent global public health issue. It is critical to understand how to prevent and intervene the epidemic of depressive symptoms. Several studies have reported the prevalence of depressive symptoms among older adults in urban and rural China, but there is a lack of cross-sectional studies on the prevalence of depressive symptoms among older adults in Anhui Province after the COVID-19 pandemic.

Methods

Between December 2023 and February 2024, we used convenience sampling to randomly recruit 1,175 older people over 60 years old in Anhui Province, China. The PHQ-9 depressive symptom scale, frailty scale, and social frailty scale were used in the study. Logistic regression was used to analyze the association between frailty, social frailty, family health and depressive symptoms in older adults.

Result

Of the 1,175 participants, 406 (34.6%) had depressive symptoms. Binary logistic regression results showed that Status of body pain (p < 0.001), Number of hospitalizations in the past year (p < 0.001), Status of social frailty (p < 0.001) and Status of frailty (p < 0.001) were highly correlated with depressive symptoms in older adults. While family health (OR = 0.53, 95% CI = 0.26–1.11, p = 0.092) was a protective factor for depressive symptoms in older adults.

Conclusion

The prevalence of depressive symptoms among older adults is high in Anhui Province, China. Frailty, social frailty, and poor family health are associated with higher prevalence of depressive symptoms in older adults. Public health departments should pay more attention to the construction of mental health protection in the three environmental contexts of individual, family and society to promote healthy aging.
Evaluation of noise pollution impact on health in Dhaka city, Bangladesh
Authors: Quader Masrur Abdul , Rahman Md Mostafizur , Chisty Musabber Ali , Saeed Al Hattawi Khawla , Alam Edris , Islam Md Kamrul
Published: November 2024

Objectives

The purpose of this research was to look at the interrelation between adult health issues in Dhaka and noise pollution.

Methods

The methodology involved a cross-sectional survey conducted in five different land use categories, with a sample size of 1,016 individuals. A validated questionnaire that focused on sources of perceived noise pollution and health issues related to noise was used to gather subjective data for the study. Objective noise pollution was evaluated using equivalent continuous sound pressure level (LAeq).

Results

Findings revealed noise generated from road traffic are the predominant source of noise pollution, with Thursday evenings during the end of office hours being the noisiest period in Dhaka. All areas in Dhaka exceeded permissible noise levels, posing significant health risks to residents and workers. The study identifies critical gaps in existing noise regulation policies and enforcement.

Conclusion

Overall, this study underscores the urgent need for comprehensive noise pollution mitigation strategies, including innovative technologies, real-time monitoring systems, and public awareness campaigns. Further studies in diverse urban contexts are recommended to enhance the understanding of noise pollution’s long-term impacts on vulnerable populations.
Factors influencing spousal support for women with perinatal depression in seeking formal assistance: a qualitative study
Authors: Zou Qinhan , Yang Yingzi , Liu Xianliang , Wang Tingting , Chen Ruizhe , Duan Xia
Published: November 2024

Objective

Seeking formal help can significantly improve the outcomes of perinatal depression (PND). However, currently, women with PND are not consistently seeking formal help. Research indicated that spouses played a crucial role in helping women recognize PND and encouraging them to seek formal help. This study aimed to explore the factors that prevent spouses from supporting women with PND in seeking formal help, based on the Knowledge-Attitude-Practice (KAP) theory.

Methods

This is a qualitative study, utilizing semi-structured interviews to explore the factors that influence spouses to support women with PND to seek formal help. The interviews were conducted at a tertiary hospital in Shanghai, China from September 2023 to October 2023. Purposive sampling was used, and the sample size was determined by data saturation. Data analysis was conducted using Colaizzi’s seven-step method.

Results

Twelve spouses had a mean age of 34.92 years (SD 5.81); n = 7 (58.33%) were new fathers. The influencing factors identified in this study can be explained by KAP theory, ultimately three major themes and six sub-themes emerged: (1) individual knowledge factors: lack of proper recognition of PND, (2) individual attitude factors: negative attitude toward PND screening and treatment and (3) service provider factors: imbalance between supply and demand for perinatal mental health services.

Conclusion

Spouses who lacked supportive behavior were influenced by individual factors, including knowledge factors and attitude factors, as well as service provider factors. These identified factors can guide future research and the development of interventions to improve perinatal mental health services and encourage family support in seeking formal help.
How to arrange the robotic environment? Leveraging experience in both motion planning and environment optimization
Authors: Lu Jiaxi , Takamido Ryota , Wang Yusheng , Ota Jun
Published: November 2024

This study presents an experience-based hierarchical-structure optimization algorithm to address the robotic system environment design problem, which combines motion planning and environment arrangement problems together. The motion planning problem, which could be defined as a multiple-degree-of-freedom (m-DOF) problem, together with the environment arrangement problem, which could be defined as a free DOF problem, is a high-dimensional optimization problem. Therefore, the hierarchical structure was established, with the higher layer solving the environment arrangement problem and lower layer solving the problem of motion planning. Previously planned trajectories and past results for this design problem were first constructed as datasets; however, they cannot be seen as optimal. Therefore, this study proposed an experience-reuse manner, which selected the most “useful” experience from the datasets and reused it to query new problems, optimize the results in the datasets, and provide better environment arrangement with shorter path lengths within the same time. Therefore, a hierarchical structural caseGA-ERTC algorithm was proposed. In the higher layer, a novel approach employing the case-injected genetic algorithm (GA) was implemented to tackle optimization challenges in robot environment design, leveraging experiential insights. Performance indices in the arrangement of the robot system’s environment were determined by the robotic arm’s motion and path length calculated using an experience-driven random tree (ERT) algorithm. Moreover, the effectiveness of the proposed method is illustrated with the 12.59% decrease in path lengths by solving different settings of hard problems and 5.05% decrease in easy problems compared with other state-of-the-art methods in three small robots.
Characterization and evaluation of antioxidant potential of onion peel extract of eight differentially pigmented short-day onion (Allium cepa L.) varieties
Authors: Gorrepati Kalyani , Kumar Ashok , Ahammed Shabeer T. P. , Khan Zareen , Satpute Prashant , Anandhan Sivalingam , Arunachalam Thangasamy , Yalamalle Vishwanath Rohidas , Mahajan Vijay , Singh Major
Published: November 2024

Outer papery peel of onion bulb is an inevitable bio-waste generated in the course of postharvest handling and processing. Onion peels are rich source of nutraceutically important polyphenolic compounds having many therapeutic potentials. In this study, we characterized onion peel extract (OPE) of eight differentially pigmented short-day onion varieties through ultra-high-performance liquid chromatography coupled with high-resolution single stage Orbitrap spectrometry and evaluated the antioxidant potential. A total of 49 phenolic compounds were identified in this study which include 33 anthocyanin, 8 flavanol, 4 flavones, and 1 each of pyranoanthocyanin, chalcone, phenolic acid, and ellagitannins. Anthocyanin was the most abundant polyphenolic compound followed by flavanol in all the varieties. Among anthocyanin, 10 cyanidin, 10 delphinidin, 4 peonidin, 4 petunidin, 3 pelargonidin, and 2 malvidin were identified. Cyanidin-3-(6-malonylglucoside), delphinidin, and delphinidin-3-galactoside were the predominant pigment in dark red varieties (BDR and BRJ), and its abundance suggests a key role in the differential pigmentation pattern of onion peel. Total phenol content (TPC) in peels ranged from 1738.21 to 1757.76 mg GAE/100 g DW in dark red onion, 1306.58 to 1646.73 mg GAE/100 g DW in red onion, and 78.77 to 85.5 mg GAE/100 g DW in white onion varieties. The mean total anthocyanin content was maximum (28.23 mg/100 g DW) in dark red varieties (BDR) and minimum (0.11 mg/100 g DW) in white variety (BSW). Total antioxidant activity ranged from 4.71 to 79.80 μmol/g DW, 22.71 to 286.7 μmol/g DW, and 8.72 to 156.89 μmol/g DW estimated through FRAP, ABTS, and DPPH methods, respectively. In all three methods, it was maximum in dark red var. BDR and minimum in white var. BSU.
Kamienie milowe w polszczyźnie: od znaków podróżnych po warunki (nie) do spełnienia
Authors: Bańko Mirosław
Published: November 2024

The article presents the history of the lexical unit kamień milowy ‘milestone’ in the Polish language, with a particular emphasis on its new meaning, coming from the EU variety of English, and the meaning-specific collocability. The study has shown how the political context influenced the popularity of the name in its new meaning, its functioning in the media, and its social reception. Data come from dictionaries, language corpora, the Polona digital library, the EU legal acts database, and the EU terminology database
Dual-Sliding-Surface Robust Control for the PEMFC Air-Feeding System Based on Terminal Sliding Mode Algorithm
Authors: Fang Shiyi , Feng Jianan , Fan Xinyu , Chen Daifen , Tan Cao
Published: November 2024

The proton exchange membrane fuel cell (PEMFC) is the most widely used fuel cell, but it also has some limitations. One of the research pain points is controlling the oxygen content in PEMFCs. A moderate excess of oxygen boosts electrochemical reaction efficiency, while an appropriate oxygen content ensures system stability. In this paper, a fourth-order nonlinear mathematical model of a PEMFC stack air supply system is established to solve the problem of optimal oxygen excess ratio (OER) control under dynamic load conditions. Based on the model, a nonsingular terminal sliding mode controller (NTSMC) based on a sliding mode observer (SMO) is proposed. The NTSM exhibits superior robustness and performance compared to other sliding mode structures. Meanwhile, the SMO accurately predicts system states, facilitating precise control actions. Additionally, the dual sliding mode surfaces enhance system stability against parameter uncertainties and external disturbances. Our results demonstrate that the proposed controller outperforms traditional ones in terms of robustness and performance, which significantly enhances PEMFC system efficiency and stability.
Methicillin-Resistant S. aureus Carrying the PVL and Toxic Shock Syndrome Toxin in Healthy Dogs in Algeria
Authors: Khermouche Fares , Heleili Nouzha , Merradi Manel , Hachemi Amina , Drapeau Antoine , Murri Séverine , Madec Jean-Yves , Haenni Marisa
Published: November 2024

Background/Objectives: Staphylococcus aureus and Staphylococcus pseudintermedius are major opportunistic pathogens in both humans and dogs. In pets, the dissemination of methicillin-resistant isolates (MRSA or MRSP) is problematic for the treatment of animals and is a public health issue due to their zoonotic potential. MRSA and MRSP may also harbor virulent genes that increase their dangerousness. This study aimed to assess the prevalence of (MR)SA and (MR)SP in healthy dogs and their owners in Algeria. Methods: Swabs were collected from various body sites of healthy dogs (n = 88) and from the nose of their owners (n = 38). Antimicrobial susceptibility testing was performed by antibiograms according to the disc diffusion method, and clonality was assessed using Pulsed-Field Gel Electrophoresis (PFGE). All methicillin-resistant isolates were short-read whole-genome sequenced using the Illumina technology. Results: 26 S. aureus and 17 S. pseudintermedius isolates were respectively collected from 13 dogs (13/88, 14.8%). No MRSP isolate was detected, while MRSA was found in six dogs (6.8%). Isolates belonged to ST1 (n = 3), ST 80 (n = 1), and ST 22 (n = 2, including the single-locus variant ST7118). All MRSA displayed the immune evasion cluster (IEC) type E. The ST80 isolate presented the Panton–Valentine toxin, and the ST22/ST7118 isolates carried the tst gene coding for the toxic shock syndrome toxin. Conclusions: The epidemiology of MRSA in healthy Algerian dogs mirrors the one in Algerian people. This poses a zoonotic and public health concern due to the virulence and resistance genes displayed by these isolates. Our results indicate the need for developing One Health strategies to avoid a large-scale dissemination of MRSA in Algerian dogs.