bluuebunny/crossref_metadata_2025_split huggingface dataset:
Depiction of Aging-Based Molecular Phenotypes With Diverse Clinical Prognosis and Immunological Features in Gastric Cancer
Authors: He Fang , Ding Huan , Zhou Yang , Wang Yuanzhen , Xie Juan , Yang Shaoqi , Zhu Yongzhao 
Published: February 2022

ObjectiveAging acts as a dominating risk factor for human cancers. Herein, we systematically dissected the features of transcriptional aging-relevant genes in gastric cancer from multiple perspectives.MethodsBased on the transcriptome profiling of prognostic aging-relevant genes, patients with gastric cancer in The Cancer Genome Atlas (TCGA) stomach adenocarcinoma (TCGA-STAD) cohort were clustered with a consensus clustering algorithm. Mutational landscape and chemotherapeutic responses were analyzed and immunological features (immunomodulators, immune checkpoint molecules, cancer immunity cycle, and tumor-infiltrating immune cells) were systematically evaluated across gastric cancer. Weighted gene co-expression network (WGCNA) was conducted for screening aging molecular phenotype-relevant genes, and key genes were identified with Molecular Complex Detection (MCODE) analyses. Expressions of key genes were examined in 20 paired tumors and controls with RT-qPCR and Western blotting. Proliferation and apoptosis were investigated in two gastric cancer cells under MYL9 deficiency.ResultsThree aging-based molecular phenotypes (namely, C1, C2, and C3) were conducted in gastric cancer. Phenotype C1 presented the most prominent survival advantage and highest mutational frequencies. Phenotype C2 indicated low responses to sorafenib and gefitinib, while C3 indicated low responses to vinorelbine and gemcitabine. Additionally, phenotype C2 was characterized by enhanced immune and stromal activation and an inflamed tumor microenvironment. Seven aging molecular phenotype-relevant key genes (ACTA2, CALD1, LMOD1, MYH11, MYL9, MYLK, and TAGLN) were identified, which were specifically upregulated in tumors and in relation to dismal prognosis. Among them, MYL9 deficiency reduced proliferation and enhanced apoptosis in gastric cancer cells.ConclusionCollectively, aging-based molecular subtypes may offer more individualized therapy recommendations and prognosis assessment for patients in distinct subtypes.
Computer-Aided Classification Framework of Parkinsonian Disorders Using 11C-CFT PET Imaging
Authors: Xu Jiahang , Xu Qian , Liu Shihong , Li Ling , Li Lei , Yen Tzu-Chen , Wu Jianjun , Wang Jian , Zuo Chuantao , Wu Ping , Zhuang Xiahai 
Published: February 2022

PurposeTo investigate the usefulness of a novel computer-aided classification framework for the differential diagnosis of parkinsonian disorders (PDs) based on 11C-methyl-N-2β-carbomethoxy-3β-(4-fluorophenyl)-tropanel (11C-CFT) positron emission tomography (PET) imaging.MethodsPatients with different forms of PDs—including Parkinson's disease (PD), multiple system atrophy (MSA) and progressive supranuclear palsy (PSP)—underwent dopamine transporter (DAT) imaging with 11C-CFT PET. A novel multistep computer-aided classification framework—consisting of magnetic resonance imaging (MRI)-assisted PET segmentation, feature extraction and prediction, and automatic subject classification—was developed. A random forest method was used to assess the diagnostic relevance of different regions to the classification process. Finally, the performance of the computer-aided classification system was tested using various training strategies involving patients with early and advanced disease stages.ResultsAccuracy values for identifying PD, MSA, and PSP were 85.0, 82.2, and 89.7%, respectively—with an overall accuracy of 80.4%. The caudate and putamen provided the highest diagnostic relevance to the proposed classification framework, whereas the contribution of midbrain was negligible. With the exception of sensitivity for diagnosing PSP, the strategy comprising both early and advanced disease stages performed better in terms of sensitivity, specificity, positive predictive value, and negative predictive value within each PDs subtype.ConclusionsThe proposed computer-aided classification framework based on 11C-CFT PET imaging holds promise for improving the differential diagnosis of PDs.
Functional Assessment of Cerebral Artery Stenosis by Angiography-Based Quantitative Flow Ratio: A Pilot Study
Authors: Huang Kangmo , Yao Weihe , Du Juan , Wang Fang , Han Yunfei , Chang Yunxiao , Liu Rui , Ye Ruidong , Zhu Wusheng , Tu Shengxian , Liu Xinfeng 
Published: February 2022

BackgroundIncreasing attention has been paid to the hemodynamic evaluation of cerebral arterial stenosis. We aimed to demonstrate the performance of angiography-based quantitative flow ratio (QFR) to assess hemodynamic alterations caused by luminal stenoses, using invasive fractional pressure ratios (FPRs) as a reference standard.MethodsBetween March 2013 and December 2019, 29 patients undergoing the pressure gradient measurement of cerebral atherosclerosis were retrospectively enrolled. Wire-based FPR was defined by the arterial pressure distal to the stenotic lesion (Pd) to proximal (Pa) pressure ratios (Pd/Pa). FPR &lt; 0.70 or FPR &lt; 0.75 was assumed as hemodynamically significant stenosis. The new method of computing QFR from a single angiographic view, i.e., the Murray law-based QFR, was applied to the interrogated vessel. An artificial intelligence algorithm was developed to realize the automatic delineation of vascular contour.ResultsFractional pressure ratio and QFR were assessed in 38 vessels from 29 patients. Excellent correlation and agreement were observed between QFR and FPR [r = 0.879, P &lt; 0.001; mean difference (bias): −0.006, 95% limits of agreement: −0.198 to 0.209, respectively). Intra-observer and inter-observer reliability in QFR were excellent (intra-class correlation coefficients, 0.996 and 0.973, respectively). For predicting FPR &lt; 0.70, the area under the receiver-operating characteristic curves (AUC) of QFR was 0.946 (95% CI, 0.820 to 0.993%). The sensitivity and specificity of QFR &lt; 0.70 for identifying FPR &lt; 0.70 was 88.9% (95% CI, 65.3 to 98.6%) and 85.0% (95% CI, 62.1 to 96.8%). For predicting FPR &lt; 0.75, QFR showed similar performance with an AUC equal to 0.926.ConclusionComputational QFR from a single angiographic view achieved comparable results to the wire-based FPR. The excellent diagnostic performance and repeatability empower QFR with high feasibility in the functional assessment of cerebral arterial stenosis.
Eye-Tracking Feature Extraction for Biometric Machine Learning
Authors: Lim Jia Zheng , Mountstephens James , Teo Jason 
Published: February 2022

ContextEye tracking is a technology to measure and determine the eye movements and eye positions of an individual. The eye data can be collected and recorded using an eye tracker. Eye-tracking data offer unprecedented insights into human actions and environments, digitizing how people communicate with computers, and providing novel opportunities to conduct passive biometric-based classification such as emotion prediction. The objective of this article is to review what specific machine learning features can be obtained from eye-tracking data for the classification task.MethodsWe performed a systematic literature review (SLR) covering the eye-tracking studies in classification published from 2016 to the present. In the search process, we used four independent electronic databases which were the IEEE Xplore, the ACM Digital Library, and the ScienceDirect repositories as well as the Google Scholar. The selection process was performed by using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) search strategy. We followed the processes indicated in the PRISMA to choose the appropriate relevant articles.ResultsOut of the initial 420 articles that were returned from our initial search query, 37 articles were finally identified and used in the qualitative synthesis, which were deemed to be directly relevant to our research question based on our methodology.ConclusionThe features that could be extracted from eye-tracking data included pupil size, saccade, fixations, velocity, blink, pupil position, electrooculogram (EOG), and gaze point. Fixation was the most commonly used feature among the studies found.
Integrated Metabolomics and Network Pharmacology Revealed Hong-Hua-Xiao-Yao Tablet’s Effect of Mediating Hormone Synthesis in the Treatment of Mammary Gland Hyperplasia
Authors: Gao Ziqing , Mi Rui , Cheng Zhaoxi , Li Xiaofeng , Zeng Huawu , Wu Gaosong , Zhao Jing , Zhang Weidong , Ye Ji 
Published: February 2022

Hong-Hua-Xiao-Yao Tablet (HHXYT) is a traditional Chinese medicine (TCM) formula that has been approved for the treatment of mammary gland hyperplasia (MGH), but its mechanism of action is unclear. In this study, a strategy that integrated metabolomics and network pharmacology was applied to systemically reveal the mechanism of HHXYT in the treatment of MGH. Our pharmacodynamic study indicated that the proliferation of mammary gland was inhibited in rats, and serum-level disorder of estradiol and progesterone was reversed after HHXYT treatment. 54 compounds absorbed in rat plasma were identified after administration of HHXYT. The serum metabolome revealed 58 endogenous differential metabolites, of which 31% were steroid lipids metabolites, with steroid hormone biosynthesis being the most significant metabolic module. 7 targets, 6 herbs, and 17 ingredients were found to play key roles in HHXYT’s treatment of MGH. 3 of the 7 key targets (CYP11A1, HSD3B2, and CYP17A1) were directly involved in androgen synthesis, while 2 targets (AR and ESR1) were receptors for the direct action of androgens and estrogens. Molecular docking was utilized to confirm the bindings between the 5 targets and their corresponding compounds. In an in vitro test, HHXYT (50 µg/ml) and its ingredient formononetin (3.2, 6.3, and 12.5 µM) were found to significantly reduce the increase of testosterone level induced by dexamethasone (10 µM) in thecal cells. In summary, this study illustrated that the mechanism of HHXYT’s treatment of MGH was to regulate hormone disorder. HHXYT could reduce estrogen-stimulated hyperplasia by inhibiting the production of its precursor androgen.
Potentially Hazardous Drug-Drug Interactions Associated With Oral Antineoplastic Agents Prescribed in Chinese Tertiary Care Teaching Hospital Settings: A Multicenter Cross-Sectional Study
Authors: Wang Haitao , Shi Haitao , Wang Yan , Wang Na , Li Youjia , Yang Qianting , Li Ya , Liu Chenwei , Zan Ying , Feng Siping , Xie Jiao 
Published: February 2022

Background: Oral administration increases the risk of interactions, because most oral antineoplastic agents (OAAs) are taken on a daily basis. Interactions can increase exposure to antitumoral agents or cause treatment failure. Potential drug–drug interactions (DDIs) are commonly observed in patients with cancer, while the extent to which OAAs related hazardous DDIs remains unclear.Methods: We studied the contraindication patterns between oral antineoplastic agents and other medications among cancer patients in two tertiary care teaching hospitals in China. A total of 20 clinically significant hazardous DDI pairs that involved 30 OAAs were identified based on the predetermined criteria. Patient medications were checked for DDIs by using the US Food and Drug Administration approved labeling. Descriptive statistics and uni- and multivariate logistic regression analyses were carried out.Results: In this study, 13,917 patients were included and a total of 297 DDIs were identified. The results revealed that proton pump inhibitors (PPIs), dexamethasone and fluoroquinolones were the most often involved hazardous DDIs with OAAs. The most prevalent contraindication is the simultaneous use of certain molecular targeted agents and PPIs. In the result of the multivariate analysis, younger age (0–20 group), increasing number of drugs and patient treated with targeted therapy had a higher risk for DDIs.Conclusion: The prevalence of OAAs related hazardous DDIs appears to be low in the cancer patients. However, physicians and clinical pharmacologists should be aware of the potential hazardous DDIs when prescribing OAAs, especially certain pH-dependent molecular targeted agents and potential QTc prolonging drugs.
A Systematic Review and Individual Patient Data Network Analysis of the Residual Symptom Structure Following Cognitive-Behavioral Therapy and Escitalopram, Mirtazapine and Venlafaxine for Depression
Authors: Whiston Aoife , Lennon Amy , Brown Catherine , Looney Chloe , Larkin Eve , O'Sullivan Laurie , Sik Nurcan , Semkovska Maria 
Published: February 2022

ObjectiveConsistent evidence suggests residual depressive symptomology are the strongest predictors of depression relapse following cognitive-behavioral therapy (CBT) and antidepressant medications (ADM's). Psychometric network models help detecting and understanding central symptoms that remain post-treatment, along with their complex co-occurrences. However, individual psychometric network studies show inconsistent findings. This systematic review and IPD network analysis aimed to estimate and compare the symptom network structures of residual depressive symptoms following CBT, ADM's, and their combination.MethodsPsycINFO, PsycArticles, and PubMed were systematically searched through October 2020 for studies that have assessed individuals with major depression at post-treatment receiving either CBT and/or ADM's (venlafaxine, escitalopram, mirtazapine). IPD was requested from eligible samples to estimate and compare residual symptom psychometric network models post-CBT and post-ADM's.ResultsIn total, 25 from 663 eligible samples, including 1,389 patients qualified for the IPD. Depressed mood and anhedonia were consistently central residual symptoms post-CBT and post-ADM's. For CBT, fatigue-related and anxiety symptoms were also central post-treatment. A significant difference in network structure across treatments (CBT vs. ADM) was observed for samples measuring depression severity using the MADRS. Specifically, stronger symptom occurrences were present amongst lassitude-suicide post-CBT (vs. ADM's) and amongst lassitude-inability to feel post-ADM's (vs. CBT). No significant difference in global strength was observed across treatments.ConclusionsCore major depression symptoms remain central across treatments, strategies to target these symptoms should be considered. Anxiety and fatigue related complaints also remain central post-CBT. Efforts must be made amongst researchers, institutions, and journals to permit sharing of IPD.Systematic Review Registration: A protocol was prospectively registered on PROSPERO (CRD42020141663; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=141663).
Mapping of Female Breast Cancer Incidence and Mortality Rates to Socioeconomic Factors Cohort: Path Diagram Analysis
Authors: Peng Qiongle , Ren Xiaoling 
Published: February 2022

ObjectivesBreast cancer is the leading cause of death in women around the world. Its occurrence and development have been linked to genetic factors, living habits, health conditions, and socioeconomic factors. Comparisons of incidence and mortality rates of female breast cancer are useful approaches to define cancer-related socioeconomic disparities.MethodsThis was a retrospective observational cohort study on breast cancer of women in several developed countries over 30 years. Effects of socioeconomic factors were analyzed using a path diagram method.ResultsWe found a positive, significant association of public wealth on incidence and mortality of breast cancer, and the path coefficients in the structural equations are −0.51 and −0.39, respectively. The unemployment rate (UR) is critical and the path coefficients are all 0.2. The path coefficients of individual economic wealth to the rates of breast cancer are 0.18 and 0.27, respectively.ConclusionThe influence of social pressure on the incidence and mortality of breast cancer was not typical monotonous. The survival rate of breast cancer determined by the ratio of mortality rate to incidence rate showed a similar pattern with socioeconomic factors.
Model Pembelajaran Kooperatif Tipe STAD ( Student Teams Achievement Division) dalam Pembelajaran MI
Authors: Wulandari Innayah 
Published: February 2022

Penelitian ini bertujuan untuk mengetahui model pembelajaran kooperatif tipe STAD secara umum, metode penelitian yang digunakan adalah metode kepustakaan. Pengumpulan data menggunakan studi kepustakaan dengan metode yang akan digunakan untuk tinjauan pustaka ini. Data yang diperoleh dikumpulkan, dianalisis dan disimpulkan mengenai studi kepustakaan. Penelitian ini membahas tentang pemahaman model pembelajaran kooperatif tipe STAD, karakteristik model pembelajaran kooperatif tipe STAD, langkah-langkah model pembelajaran kooperatif tipe STAD, dan tahapan-tahapan model pembelajaran kooperatif tipe STAD. Jadi, kita bisa mengetahui model pembelajaran kooperatif tipe STAD secara umum, Yaitu pembelajaran kooperatif tipe STAD suatu model pembelajaran dimana peserta didik belajar dan bekerja sama dalam kelompok kecil yang secara kolaboratif anggotanya 4-5 orang dengan struktur kelompok heterogen. Bisa juga menentukan langkah- Langkah model pembelajarannya secara tepat, serta dapat menentukan apakah dalam pembelajaran tertentu bisa digunakan oleh guru dalam mengajar dengan menggunakan model pembelajaran kooperatif tipe STAD ini atau tidak cocok digunakan dalam pembelajaran.
Pengaruh Kecerdasan Emosional Terhadap Prestasi Belajar Siswa SD Negeri 26 Kota Sorong
Authors: Arafa Siti , Mursalim Mursalim , Ihsan Ihsan 
Published: February 2022

Penelitian ini bertujuan untuk mengetahui pengaruh kecerdasan emosional terhadap prestasi belajar siswa kelas V SD Negeri 26 Kota Sorong. Jenis penelitian yang digunakan dalam penelitian ini adalah penelitian kuantitatif yang bersifat korelasional dengan pendekatan ex-postfacto, yaitu fakta atau segala sesuatunya sudah ada sehingga tinggal diungkap dengan menggunakan instrumen penelitian. Subjek penelitian adalah siswa kelas V SD Negeri 26 Kota Sorong sebanyak 36 siswa, dengan terdiri dari 15 laki-laki dan 21 perempuan. Data hasil penelitian diperoleh dari Angket dan Dokumentasi. Data yang diperoleh dianalisis secara deskriptif kuantitatif. Adapun kriteria keberhasilan penelitian tersebut ditandai dengan perolehan nilai rata-rata raport ≥ 72,997 dan rata – rata perolehan nilai angket kelas ≥ 77,06. Hasil penelitian menunjukkan bahwa pengaruh kecerdasasn emosional terhadap prestasi belajar siswa kelas V SD Negeri 26 Kota Sorong ditunjukkan oleh hasil angket dan nilai raport siswa. Hal ini dilihat dari hasil analisis menggunakan uji regresi membuktikan bahwa diperoleh persamaan regresi linear sederhana Y ̂ = 55,72 + 0,218 X, pengaruh kecerdasan emosional terhadap prestasi belajar siswa mencapai 49,3%. Jadi kesimpulan bahwa terdapat pengaruh kecerdasan emosional yang signifikan terhadap prestasi belajar siswa kelas V SD Negeri 26 Kota Sorong.
Hubungan Mekanisme Koping dengan Tingkat Kecemasan Lansia pada Masa Pandemi Covid-19 di Wilayah Kerja Puskesmas Rejosari Pekanbaru
Authors: Ezdha Awaliyah Ulfah Ayudytha , Abdurrahman Hamid  , Arlina Waruwu  
Published: February 2022

ABSTRACT
Corona Virus Disease (Covid-19) adalah penyakit menular yang dapat ditularkan dari seseorang yang positif Covid-19 melalui percikan cairan dari mulut atau hidung saat batuk dan bersin. Covid-19 ini sudah menimbulkan kecemasan di kalangan masyarakat puskesmas rejosari pekanbaru khususnya lanjut usia yang sangat rentan kepada penularan penyakit ini. Kecemasan merupakan kekhawatiran dan rasa takut yang intens, berlebihan, dan terus-menerus sehubungan dengan situasi sehari-hari. Dapat terjadi hal-hal seperti jantung berdenyut kencang, napas tersengal- sengal, berkeringat, dan merasa lelah. Penelitian bertujuan untuk melihat apakah ada hubungan mekanisme koping dengan tingkat kecemasan lansia di wilayah kerja puskesmas Rejosari Pekanbaru. Jumlah responden dalam penelitian ini adalah 45 responden. Hasil Penelitian didapatkan bahwa mekanisme koping lansia dalam kategori adaptif dengan 36 (80.0%) . Sementara pada tingkat kecemasan lansia terdapat dalam kecemasan ringan 29 responden (64,4%) Penelitian ini merupakan penelitian kuantitatif dengan menggunakan desain penelitian Deskriptif Korelasi. Penelitian ini menggunakan rancangan Cross Sectional Study Berdasarkan hasil dari uji chi-square diproleh p value mekanisme koping= 0.035 lebih kecil daripada nilai alpha (p < 0.050), yang menunjukkan adanya hubungan yang signifikan antara Mekanisme Koping dengan Tingkat Kecemasan
Dissociating stimulus-response compatibility and modality compatibility in task switching
Authors: Friedgen Erik , Koch Iring , Stephan Denise Nadine 
Published: February 2022

AbstractModality compatibility (MC) describes the similarity between the modality of the stimulus and the modality of the anticipated response effect (e.g., auditory effects when speaking). Switching between two incompatible modality mappings (visual-vocal and auditory-manual) typically leads to larger costs than switching between two compatible modality mappings (visual-manual and auditory-vocal). However, it is unclear whether the influence of MC arises before or after task selection or response selection, or affects both processes. We investigated this issue by introducing a factor known to influence response selection, stimulus-response (S-R) compatibility, examining possible interactions with MC. In Experiment 1, stimulus location was task-irrelevant; participants responded manually or vocally to the meaning of visual and auditory colour words presented left or right (Simon task). In Experiment 2, stimulus location was task-relevant; participants responded manually or vocally, indicating the location (left or right) of visual or auditory stimuli, using a spatially compatible versus incompatible mapping rule (“element-level” S-R compatibility). Results revealed independent effects of S-R and modality compatibility in both experiments (n = 40 per experiment). Bayes factors suggested moderate but consistent evidence for the absence of an interaction. Independent effects suggest MC effects arise either before or after response selection, or possibly both. We propose that motor response initiation is associated with anticipatory activation of modality-specific sensory effects (e.g., auditory effects when speaking), which in turn facilitates the correct response in case of modality-compatible mappings (e.g., auditory-vocal) or reactivates, at the task-selection level, the incorrect task in case of modality-incompatible mappings (e.g., visual-vocal).