bluuebunny/crossref_metadata_2025_split huggingface dataset:
The mediating role of cognitive emotion regulation skills in the relationship between romantic relationship satisfaction and eating attitudes
Authors: türk fulya , Yılmazer-Beykoz Eda , Hamamci Zeynep 
Published: August 2024

Abstract

This study aimed to investigate the relationships between eating attitudes, romantic relationship satisfaction and cognitive emotion regulation in university students. The sample of the study consisted of 355 university students between the ages of 17–60. In the study, Relationship Satisfaction Scale, Eating Attitudes Test-26 short form and Cognitive Emotion Regulation Questionnaire were used as instruments. The collected data were analysed using the SPSS package program. In order to analyse the data, the relationships between the variables of the study were examined by Structural Equation Model. The objective of this study was to investigate how cognitive emotion regulation mediates the connection between eating attitudes and satisfaction in romantic relationships. The study's findings indicate a strong and negative correlation between romantic relationship satisfaction and eating attitudes. The study revealed a decrease in romantic relationship satisfaction among people with unfavorable eating attitudes. The study findings indicated that people who experienced dissatisfaction in their romantic relationships and exhibited negative attitudes towards eating were more likely to use maladaptive emotional regulation strategies, such as catastrophizing, to a greater extent. Individuals who experience dissatisfaction in their interpersonal relationships and possess bad eating attitudes tend to magnify the repercussions of negative situations. The acquired results are believed to provide guidance for the planning of potential intervention studies for improving cognitive emotional regulation.
Evaluation of patient immunocompetence for immune checkpoint inhibitor therapy using the psoas muscle index: a retrospective cohort study
Authors: Tsurui Toshiaki , Hamada Kazuyuki , Mura Emiko , Suzuki Risako , Iriguchi Nana , Ishiguro Tomoyuki , Hirasawa Yuya , Ohkuma Ryotaro , Shimokawa Masahiro , Ariizumi Hirotsugu , Kubota Yutaro , Horiike Atsushi , Wada Satoshi , Yoshimura Kiyoshi , Tsunoda Takuya 
Published: August 2024

Abstract

Background
In patients with cancer, sarcopenia is an indicator of poor prognosis and is associated with an increased risk of chemotherapy-related adverse events. Skeletal muscle interacts with the immune system, and sarcopenia is associated with immune senescence. However, the effect of sarcopenia on the effectiveness of immune checkpoint inhibitor (ICI) therapy remains unknown.
Methods
This retrospective study included patients with advanced or recurrent non-small cell lung cancer treated with nivolumab or pembrolizumab monotherapy. The association between the psoas muscle index (PMI) and both clinical response and immune-related adverse events (irAEs) was assessed using logistic regression. The PMI was calculated as the cross-sectional area of the psoas muscle divided by the square of the height based on computed tomography scans performed before the initial administration of ICI therapy.
Results
A total of 67 patients were included in the analysis. Logistic regression analysis showed that PMI was associated with the overall response (odds ratio [OR]: 1.52; 95% confidence interval [CI]: 1.04–2.22; p = 0.030) and the risk of severe irAEs (OR: 1.72; 95% CI: 1.05–2.80; p = 0.031).
Conclusion
These findings suggest that PMI is both an indicator of prognosis and a surrogate marker of immunocompetence in predicting the clinical response to ICI therapy.
Deep Learning Aided Power Quality Disturbance Detection with Improved Time-frequency Resolution Employing Adaptive Superlet Transform
Authors: Mukherjee Subhajit , Chatterjee Soumya , Mandal Ratan 
Published: August 2024

Abstract

In the present work, a novel technique for detection and classification of power quality disturbance events (PQDE) in noisy environment is proposed employing adaptive superlet transform (ALST)-based time-frequency analysis and deep learning technique. ALST is a powerful signal processing tool for analysis of non-stationary signals in time-frequency frame. To this end, synthetic PQDEs were initially generated following IEEE std. 1159–2009. The generated 1D PQDEs were transformed to 2-D time-frequency RGB images using ASLT. The transformed time-frequency images of 1D PQDEs employing ALST showed enhanced resolution in time-frequency frame. In addition, ALST analysis of PQDEs showed distinct representations in time-frequency plane even in presence of very high noise level. The obtained PQDEs obtained using ASLT were finally fed as inputs to a designed lightweight customized convolutional neural network (CNN) architecture for automated feature extraction and classification. In addition, the performance of the proposed model was further evaluated using benchmark CNN models. It has been found that the proposed approach is highly accurate and has returned better performance compared to other time-frequency representation and existing approaches. The results showed that the proposed framework is capable of diagnosis of power quality disturbance events in both noise-free and strong noisy environment. In addition, the proposed CNN model is light weight and fully customized and required less computational time and memory compared to existing CNN models.
Enhanced Structural, Optical, and Gas Sensing Properties of Zn-Doped In 2 O 3 Nanomaterial Synthesized via Sol-Gel Technique
Authors: Kulkarni SC , Salunke VT , Naeem Sajid , Patil AV 
Published: August 2024

Abstract

The effect of zinc doping on the structural, optical, and gas sensing properties of indium oxide (In2O3) nanomaterial was investigated. We used a simple sol-gel approach to create In2O3 nanomaterial with different zinc doping percentages (1, 3, 5, 7, and 9 moles %). Thermogravimetric analysis (TGA) was used to investigate the samples' thermal behaviour. The powders were analysed using X-ray diffraction (XRD), transmission electron microscopy (TEM), UV-Visible spectroscopy, and Fourier-transform infrared spectroscopy (FTIR). The XRD investigation revealed that the produced powders were polycrystalline in nature, with a cubic structure and a favoured orientation (222). TEM scans revealed the presence of spherical particles. As the zinc doping concentration grew, the nanomaterial optical band gap dropped. The Zn-doped In2O3 nanomaterial was investigated for hydrogen sulfide (H2S) gas sensing applications. The gas detecting characteristics were tested at different operating temperatures and H2S concentrations. When compared to several other solid-state gas sensors, the Zn-doped In2O3 nanomaterial displayed dramatically increased sensitivity to H2S gas and shorter reaction times. Overall, the Zn-doped In2O3 sensors have high sensitivity and fast response.
HIV Infection and Exposure Increases Cariogenic Taxa, Reduces Taxonomic Turnover, and Homogenizes Spatial Differentiation for the Supragingival Microbiome
Authors: Mann Allison E. , Aumend Ciara , Crull Suzanne , O’Connell Lauren M. , Osagie Esosa , Akhigbe Paul , Obuekwe Ozoemene , Omoigberale Augustine , Rowe Matthew , Blouin Thomas , Soule Ashlyn , Kelly Colton , Burne Robert A. , Coker Modupe O. , Richards Vincent P. 
Published: August 2024

Abstract

Background
The oral microbiome comprises distinct microbial communities that colonize diverse ecological niches across the oral cavity, the composition of which are influenced by nutrient and substrate availability, host genetics, diet, behavior, age, and other diverse host and environmental factors. Unlike other densely populated human-associated microbial ecosystems (e.g., gut, urogenital), the oral microbiome is regularly and directly exposed to the external environment and is therefore likely less stable over time. Cross sectional studies of the oral microbiome capture a glimpse of this temporal dynamism, yet a full appreciation of the relative stability, robusticity, and spatial structure of the oral environment is necessary to understand the role of microbial communities in promoting health or disease.
Results
Here we investigate the spatial and temporal stability of the oral microbiome over three sampling time points in the context of HIV infection and exposure. Individual teeth were sampled from a cohort of 565 Nigerian children with varying levels of tooth decay severity (i.e., caries disease). We collected 1,960 supragingival plaque samples and characterized the oral microbiome using a metataxonomic approach targeting an approximately 478 bp region of the bacterial rpoC gene. We found that both infection and exposure to HIV have significant effects on the stability of the supragingival plaque microbiome at both the spatial and temporal scale. Specifically, we detect (1) significantly lower taxonomic turnover of the oral community among exposed and infected children compared to unexposed children, (2) we find that HIV infection homogenizes the oral community across the anterior and posterior dentition, and (3) that impaired immunity (i.e., low CD4 count) and low taxonomic turnover over time in children living with HIV is associated with higher frequency of cariogenic taxa including Streptococcus mutans.
Conclusions
Our results document substantial community fluctuations over time in children unexposed to HIV independent of oral health status. This suggests that the oral community, under typical conditions, rapidly adapts to environmental perturbations to maintain homeostasis and that long-term taxonomic rigidity is a signal of community dysfunction, potentially leading to a higher incidence of oral disease including caries.
Subcortical-cortical structural connectivity alternations and their application in cognitive impairments of schizophrenia
Authors: Ren Juanjuan , Xiaoxia Lei , Rong Zhang , Wang Yewei , Chen Xiaochang , Fu Lirong , Li Qingyi , Zhang Chen 
Published: August 2024

Abstract

Background
It has been suggested that white matter involves in regulation of various cognitive activities of schizophrenia(SZ). The complexity of SZ along with the lack of specific brain abnormalities indicates widespread systemic structural foundations in schizophrenia. To detect and visualize the abnormal patterns of whole-brain white matter network and their significance in cognitive impairment of SZ through diffusion-weighted magnetic resonance imaging (DWI) and tractography.
Methods
This cross-sectional study progressively recruited 61 SZ and 63 matched healthy controls(HC) from August 2019 and December 2022 at the Shanghai Mental Health Center. Probabilistic tractography was conducted, and a full-cortex connectomes of 82 brain regions based on Desikan-Killiany atlas were created to depict the number of streamlines between brain regions. Network-based statistic (NBS) analysis was performed to test between-group differences in brain subnetwork connectivity. Graph theoretical metrics were assessed to characterize the topological organization of structural networks. Pearson correlation analysis was conducted to explore the correlation between general data, clinical features, and significant network features.
Results
The NBS analysis indicated one component with stronger connectivity (p < 0.001) containing 53 connections among HC individuals compared with patients with SZ. These connections mainly located in the subcortical regions including thalamus, hippocampus, putamen as well as accumbens, and cortical regions mainly consisting of Insula, media lorbito-frontal, and anterior cingulate (threshold edge t > 3.10, component p < 0.001, NBS corrected). Further graph theoretical analysis revealed that SZ patients exhibited impairments in global efficiency and local topological properties, indicating disruptions in the ability of transiting and integrating information in the brain network. Correlation analysis shows that these structural network abnormalities were significantly associated with cognitive dysfunction in SZ.
Conclusions：
These findings here provided a new perspective for understanding the mechanisms behind the core symptoms of schizophrenia and emphasize the important pathological role of the white matter pathway in schizophrenia.
Epigenetic signatures in children and adolescents at familial high risk: linking early-life environmental exposures to psychopathology
Authors: Segura Alex G , Martinez-Serrano Irene , Serna Elena de la , Sugranyes Gisela , Baeza Inmaculada , Picouto M Dolores , Parrilla Sara , Moreno Dolores M , Gasso Patricia , Rodriguez Natalia , Martinez-Pinteño Albert , Julia Laura , Torrent Carla , Garcia-Rizo Clemente , Mas Sergi , Castro-Fornieles Josefina 
Published: August 2024

Abstract

Background This study investigates the relationship between environmental risk factors and severe mental disorders using genome-wide methylation data. Methylation profile scores (MPS) and epigenetic clocks were utilized to analyze epigenetic alterations in a cohort comprising 211 individuals aged 6–17 years. Participants included offspring of schizophrenia (n = 30) and bipolar disorder (n = 82) patients, and a community control group (n = 99). The study aimed to assess differences in MPS indicative of intrauterine stress and epigenetic aging across familial risk groups, and their associations with cognition, prodromal psychotic symptoms, and global functioning through statistical models.
Results Individuals at high familial risk demonstrated significant epigenetic alterations associated with pre-pregnancy maternal overweight/obesity, pre-eclampsia, early preterm birth and higher birth weight (p.adj ≤ 0.001) as well as decelerated epigenetic aging in the Horvath and Hannum epigenetic clocks (p.adj ≤ 0.005). Among offspring of schizophrenia patients, more severe positive and general prodromal psychotic symptoms correlated with MPS related to maternal pre-pregnancy BMI and overweight/obesity (p.adj ≤ 0.008) as well as with accelerated epigenetic aging across all examined epigenetic clocks (p.adj ≤ 0.012).
Conclusions These findings underscore the potential of methylation analysis to quantify persistent effects of intrauterine events and their influence on the onset of psychotic symptoms, particularly in high-risk populations. Further research is essential to elucidate the underlying biological mechanisms during critical early stages of neurodevelopment.
AVE0991 regulates HOTAIRM1/miR-223-3p/α-synuclein to improve behaviour and protect dopaminergic neurons in hu-man α- syn (A53T) overexpressing mice
Authors: Duan Rui , Shi Liang , Deng Yang , Wu Jiang , Wang Shiyao , Peng Qiang , Li Zhongyuan , Xu Zhaohan , Wang Feng , Xue Xue , Gao Qing 
Published: August 2024

Abstract

Parkinson's disease (PD) is a prevalent type of neurodegenerative disorders. AVE0991, a non-peptide analogue of Ang-(1–7), by which the progression of PD has been discovered to be ameliorated, but the specific mechanism whereby AVE0991 modulates the progression of PD re-mains unclear. The mice overexpressing of human α-syn (A53T) were established to simulate PD pathology, and we also constructed an in vitro model of mouse dopaminergic neurons overexpressing hα-syn (A53T). The [18F] FDG-PET/CT method was also employed to assess FDG uptake in human α-syn (A53T) overexpressing mice. Levels of lnc HOTAIRM1, miR-223-3p were detected via qRT-PCR. Flow cytometry was deployed to assay cell apoptosis. Here, we found that AVE0991 improved behaviour disorder and decreased α-syn expression in the substantia nigra in mice with Parkinson's disease. AVE0991 inhibited apoptosis of dopaminergic neurons overexpressing hα-syn (A53T) by lncRNA HOTAIRM1. MiR-223-3p binds to HOTAIRM1 as a ceRNA and directly targets α-syn. Our present study shows that the angiotensin-(1–7) analogue AVE0991 targeted at the HOTAIRM1/miR-223-3p axis to degrade α-synuclein in PD mice, and showed neuroprotection in vitro.
A Novel Microencapsulated Probiotic Oral Rinse Improves Gingival Health and Influences Salivary Matrix Metalloproteinases 8 and 9 in Children with Down Syndrome: A Pilot Randomized Clinical Trial
Authors: Saha Swagata , Nair Manju Raman , Rai Kavita , Nayak Prajna P , Kumari Suchetha , Bhandary Prajna , KP Sharmila , Sanghavi Amee Dilip , Dsouza Cynthia Vinitha 
Published: August 2024

Abstract

Objectives
Children with Down Syndrome (DS) exhibit heightened oral health vulnerabilities owing to their unique physiological characteristics, necessitating the need for tailored interventions. The integration of natural MMP inhibitors such as probiotics has the potential to significantly improve oral health outcomes in this vulnerable population. In this double-blinded randomized controlled trial (CTRI/2023/04/051447), we investigated the effects of a novel sugar-free probiotic oral rinse compared to 0.2% chlorhexidine digluconate on salivary MMP-8 and MMP-9 levels in children with DS.
Materials and Methods
Thirty children, aged 6–14 years, participated in this study. Baseline assessments involved saliva collection for MMP-8 and MMP-9 quantification using an enzyme-linked immunosorbent assay (ELISA) and evaluation of gingival parameters. Following the baseline evaluations, individualized oral rehabilitative interventions were administered. Two weeks post-rehabilitation, the participants were randomized to receive either a probiotic (Group 1) or chlorhexidine rinse (Group 2). The oral rinses were used for two weeks, followed by repeated salivary MMP quantification and gingival parameter assessments after two weeks and six months.
Results
Both groups exhibited significant reductions in MMP levels, plaque index (PI), gingival index (GI), oral hygiene index, and bleeding on probing (BOP) (p < 0.05). The probiotic group demonstrated a significant reduction in BOP (p = 0.000).
Conclusion
This study emphasizes the importance of tailored oral care for children with DS and demonstrates significant post-treatment oral health improvements.
Respiratory endoscopy intervention in 12 patients with refractory persistent air leakage after pulmonary surgery
Authors: Yang Zhenyu , Zhou Xiaoli , Pan Wenying , Lu Yijie , Zeng Daxiong , Jiang Junhong 
Published: August 2024

Abstract

Objective
To explore the application value of different respiratory intervention techniques in the therapy of refractory persistent air leakage (PAL)after pulmonary surgery.
Method
A retrospective study was conducted in 12 patients with PAL after pulmonary surgery who were successfully treated by respiratory endoscopy intervention in the Department of Respiratory and Critical Care Medicine of the Fourth Hospital Affiliated to Soochow University and the First Hospital Affiliated to Soochow University from December 2019 to January 2024. According to the typies of respiratory intervention techniques, we divided them into four typies of therapies; A: chest tube drainage combined with negative pressure suction; B: medical thoracoscopy with chest tube as a path; C: stimulating bronchial mucosa hyperplasia under bronchoscopy; D: bronchoscopic occlusion therapy, and comparison was made between monotherapy and combination therapy.
Results
Fistulous tracts were found in 7 patients; Orificium fistulas were found in 5 patients and the diameter of orificium fistulas were 4-12mm, with an average of 7.2 ± 3.6mm. All the 12 patients were effectively treated, among which 9 patients who underwent chest tube drainage were successfully extubed. The median (interquartile distance) retention time of chest tubes before and after respiratory endoscopy intervention were respectively 73.5(50.5,106.25) days and 29(22,38.75) days, there was significant difference in p-value.
Conclusions
Respiratory endoscopy intervention can significantly shorten the retention time of the patient's chest tube and effectively treat refractory PAL after pulmonary surgery. However, it should be emphasized that individualized therapy should be provided according to the location and size of the orificium fistula.
The role of angiogenesis-related genes in sepsis-induced acute respiratory distress syndrome
Authors: Fan Jixiu , Guo Qi , Liang Jifang , Huo Jin , Wu Shulan , Wang Tong , Wu Weidong , Bai Xueli 
Published: August 2024

Abstract

Background Acute respiratory distress syndrome (ARDS) is a major lung injury disease, and the most common cause is sepsis. Angiogenesis is vital in the process of diseaseoccurrence. Several angiogenesis related pathways have been identified to play an important role in ARDS. Hence, it was vital to screen the angiogenesis-related biomarkers for the treatment of sepsis-induced ARDS (SI-ARDS).Methods We introduced transcriptome data to filter differentially expressed genes (DEGs) in SI-ARDS. Venn diagram was executed to identify angiogenesis-related differentially expressed genes (AR-DEGs). Pearson correlation was utilised to obtain AR-DEGs highly correlated with SI-ARDS. PPI network was executed to gain core genes. Further, least absolute shrinkage and selection operator (LASSO) regression was implemented to retain biomarkers. Receiver operating characteristic (ROC) curves were conducted to estimate diagnostic model. The immune infltration circumstance was analyzed by ssGSEA algorithms. The miRNAs-transcription factor (TFs) and ceRNA network were predicted via miRTarBase, miRNet and AnimalTFDB database, respectively.Results We identified 108 DEGs associated with SI-ARDS. Then, 22 AR-DEGs highly correlated with SI-ARDS were obtainedpearson correlation. Subsequently, 6 angiogenesis-related biomarkers were identified, including LTF, OLFM4, CEACAM8, MME, BPI, and TFPI. Moreover, we got six significantly differential immune cells in ARDS samples induced by sepsis, among which neutrophils and MDSC infiltration had the highest correlation with TFPI, MME. Finally, the constructed ceRNA regulatory network was composed of 87 nodes and 192 edges. Some potential TFs targeting angiogenesis-related biomarkers were identified, including CEBPE and DCH1.Conclusion Overall, we obtained six angiogenesis-related biomarkers (LTF, OLFM4, CEACAM8, MME, BPI, TFPI) associated with SI-ARDS, which laid a theoretical foundation for the treatment of SI-ARDS.
Evaluasi Parameter Genetik 42 Klon Teh (Camellia sinensis var. Sinensis)
Authors: Rafidah Ana Farah 
Published: August 2024

Teh merupakan komoditas perkebunan yang berperan penting dalam kegiatan perekonomian Indonesia. Perlu upaya peningkatan produktivitas dari perkebunan teh supaya dapat bersaing yaitu melalui pemuliaan tanaman. Perakitan varietas unggul baru dengan dasar ilmu pemuliaan memerlukan nilai parameter genetik dan keragaman dari setiap klonnya. Tujuan penelitian ini adalah melakukan evaluasi parameter genetik pada 42 klon tanaman teh varietas sinensis koleksi Pusat Penelitian Teh dan Kina. Penelitian dilakukan dengan Rancangan Acak Kelompok (RAK) dengan tiga ulangan, dimana dalam setiap ulangan terdiri dari tiga sampel tanaman untuk masing-masing klon. Karakter morfologi yang diamati berupa tinggi bidang petik, diameter batang, jumlah cabang, dan luas frame. Data dianalisis menggunakan ANOVA atau sidik ragam pada taraf α 1% dan α 5% menggunakan perangkat lunak PKBT STAT 3.1 yang dilanjutkan dengan analisis parameter genetik. Hasil dari penelitian ini adalah karakter yang diamati memiliki nilai variabilitas genetik, variabilitas fenotip, heritabilitas, koefisien keragaman genetik (KKG), dan koefisien keragaman fenotip (KKF) yang beragam. Karakter tinggi bidang petik, diameter batang, dan jumlah cabang memiliki variabilitas genetik dan fenotip luas. Karakter yang memiliki kemungkinan paling besar untuk dijadikan bahan seleksi yaitu jumlah cabang karena memiliki nilai parameter genetik yang luas dan tinggi karena sifat dari jumlah cabang akan mudah diturunkan ke generasi berikutnya.