bluuebunny/crossref_metadata_2025_split huggingface dataset:
RET mutation as a putative prognostic biomarker for immune checkpoint inhibitors therapy in various malignancies
Authors: Long Jun-Yu , Li Rui-Zhe , Wang Dong-Xu , Liu Hui , Tian Jincheng , Ding Zi-Niu , Yan Lun-Jie , Dong Zhao-Ru , Hong Jian-Guo , Tian Bao-Wen , Han Cheng-Long , Zhao Hai-Tao , Li Tao 
Published: May 2023

Abstract
Background The RET gene, which is frequently mutated across many types of cancer, has been proven to be critically involved in tumorigenesis and tumor development, while its precise contribution to immune checkpoint inhibitors (ICIs) therapy remains to be elucidated. The present research aims to investigate the association between RET mutations and the efficiency of ICIs therapy.Method We analyzed the role of RET mutations in predicting the prognosis of patient receiving ICIs therapy in the discovery cohort and validated it in the validation cohort. Then, multi-omics data from TCGA pan-cancer cohort was employed to propose the association between RET mutations and tumor inflamed anti-tumor immune response and tumor antigenicity.Results Our study revealed that RET mutation is associated with better clinical outcomes for ICIs therapy in 606 cases across five types of cancer, including elevated response rate, longer PFS and OS. Multivariate analysis showed that RET mutation could independently predict the prognosis of ICIs-treated patients after adjusting cancer types. The predictive value of RET status for the OS of patients treated with ICI immunotherapy was further validated in the validation cohort (n = 1683). Subgroup analysis suggested that only the monotherapy group showed significant differences in OS and PFS between RET- wildtype tumors and RET- mutant tumors. Multi-omics data analysis revealed potential anti-tumor immunity mechanisms of RET mutations, suggesting that RET-mutant tumors have enhanced immunogenicity, higher expression of immune checkpoints, chemokines, and immune cell infiltration than RET-wildtype tumors, potentially indicating a more favorable response to immunotherapy.Conclusions RET mutation may be a predictive biomarker of enhanced response to ICIs therapy. Extensive molecular mechanism investigation and prospective studies are needed in the future.
Fractured Sternal Wire Causing a Cardiac Laceration
Authors: Khouzam Matthew S , Jacobsen Kristina , Boyer Joseph H , Suarez-Cavalier Jorge E , Accola Kevin D , Silvestry Scott , Khouzam Nayer 
Published: May 2023

Abstract

Background
Hemopericardium is a serious complication that can occur after cardiac surgery. While most post-operative causes are due to inflammation and bleeding, patients with broken sternal wires and an unstable sternum may develop hemopericardium from penetrating trauma.
Case Presentation
We present the case of a 62-year-old male who underwent triple coronary bypass surgery and presented five months later with sudden anterior chest wall pain. Chest computed tomography revealed hemopericardium with an associated broken sternal wire that had penetrated into the pericardial space. The patient underwent a redo-sternotomy which revealed a 3.5 cm bleeding, jagged right ventricular laceration that correlated to the imaging findings of a fractured sternal wire projecting in the pericardial space. The laceration was repaired using interrupted 4 − 0 polypropylene sutures in horizontal mattress fashion between strips of bovine pericardium. The patient’s recovery was uneventful and he was discharged on post-operative day four without complications.
Conclusion
Patients with broken sternal wires and an unstable sternum require careful evaluation and management as these may have potentially life-threatening complications if left untreated.
Altered functional connectivity of large-scale brain networks in psychogenic erectile dysfunction associated with cognitive impairments
Authors: Feng Sitong , Dong Linrui , Yan Bin , Zheng Sisi , Feng Zhengtian , Li Xue , Li Jiajia , Sun Ning , Ning Yanzhe , Jia Hongxiao 
Published: May 2023

Abstract
Several studies have demonstrated that psychogenic erectile dysfunction (pED) patients potentially suffer from cognitive dysfunction. Despite that previous neuroimaging studies have reported abnormal functional connections of brain areas associated with cognitive function in pED, the underlying mechanisms of cognitive dysfunction in pED remain elusive. Large-scale brain networks might shed light on the neuropsychological cognitive functions in pED. The functional connectivity (FC) of large-scale brain networks was calculated in 30 pED patients and 30 healthy controls. The relationship among cognitive functions and altered FC of large-scale brain networks was further explored in pED patients. Our results showed that the decreased FC within visual network, and between visual network and default mode network, visual network and frontoparietal network, and ventral attention and default mode network were found in pED patients. Furthermore, there was the positive correlation between immediate memory score and FC within visual network. And visuospatial score was negatively correlated with decreased FC between ventral attention network and default mode network. Taken together, our findings revealed the relationship between cognitive impairments and altered FC between large-scale brain networks in pED patients, providing the new evidence about the neural mechanisms of cognitive dysfunction in pED patients.
Scale development to measure the patient perception of patient-centered care of dentists in primary care settings of Thailand: a measurement invariance test
Authors: Khamnil Yutthana , Kao-iean Surasak , Pisarnturakit Pagaporn Pantuwadee 
Published: May 2023

Abstract
Background Patient-centered care is essential for providing quality services thoroughly from the primary care level, but it is unclear and lacks measurement. This study aimed to develop a reliable and valid instrument to measure patient perception of patient-centered care of primary dental care in Thailand and test the measurement invariance between the large and small community hospitals.Methods The initial set of 45 items for the Patient Perception of Patient-Centered Care of Dentist Scale (PPCCDS) was developed using a mixed-method approach, which included a literature review, content validity test, cognitive interviews, and a pre-test. A multistage sampling strategy was used to recruit dental patients or parents/caregivers from community hospitals across Thailand. Validity was examined through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Reliability was assessed using Cronbach's alpha coefficient and intraclass correlation coefficient. Furthermore, a multi-group analysis was conducted to compare the responses of patients from large and small community hospitals.Results 336 and 1167 samples were randomized for EFA and CFA, respectively. The final PPCCDS consists of 7 factors with satisfactory reliability and validity and composed of 42 items: dentist-patient relationship, disease-illness, integrated care, communication, shared information and decision-making, holistic and empathy and anxiety management. The CFA showed the model fit was consistent with the entire sample. The metric invariance analysis showed that the factor loadings were invariant across patient groups. Overall Cronbach's alpha coefficient and intraclass correlation coefficient were satisfactory.Conclusions The newly developed PPCCDS is composed of seven domains with 42 items with good reliability and validity, and it indicated the measurement invariance across patients in large and small community hospitals.
Loss of Dec1 inhibits alcohol-induced hepatic lipid accumulation and circadian rhythm disorder
Authors: SATO FUYUKI , BHAWAL UJJAL K , OIKAWA KOSUKE , MURAGAKI YASUTERU 
Published: May 2023

Abstract
Chronic alcohol exposure increases liver damage such as lipid accumulation and hepatitis, resulting in hepatic cirrhosis. Chronic alcohol intake is known to disturb circadian rhythms in humans and animals. Dec1, a BHLH transcription factor, plays an important role in the circadian rhythm, inflammation, immune responses, and tumor progression. We have previously shown that Dec1 deficiency inhibits stresses such as periodontal inflammation and perivascular fibrosis of the heart. However, the significance of Dec1 deficiency in chronic alcohol exposure remains unclear. In the present study, we investigated whether biological stress caused by chronic alcohol intake is inhibited in Dec1 knockout mice. We treated control and Dec1 knockout mice with 10% alcohol for three months by chronic free intake. The Dec1 knockout mice consumed more alcohol than control mice, but we observed severe hepatic lipid accumulation and disturbance of the circadian rhythm in control mice. In contrast, Dec1 knockout mice showed little effect. Furthermore, we investigated the expressions of peroxisome proliferator-activated receptors (PPARs) and AMP-activated protein kinase (AMPK), which are involved in the regulation of fatty acid metabolism. Immunohistochemical analysis revealed increases of phosphorylation AMPK and PPARa but decreases PPARg in Dec1 knockout mice compared to control mice. This indicates a molecular basis for the inhibition of hepatic lipid accumulation in alcohol-treated Dec1 knockout mice. These results suggest a novel function for Dec1 in alcohol-induced hepatic lipid accumulation and circadian rhythm disorders.
Psychological Distress Reported by Patients with Atrial Fibrillation in China During COVID-19
Authors: Ge Names：Wei-Li , Xu Chao , Xu Jin-Tian , Jiang Jian-Jun , Mi Ya-Fei , Li Tao , Lu Yi-Fei , Tung Tao-Hsin , Yan Su-Hua 
Published: May 2023

Abstract
Background: The COVID-19 pandemic significantly impacted routine cardiovascular health assessments and services. The objective of this study was to explore the factors associated with self-reported psychological distress among a sample of patients with atrial fibrillation (AF) in China in relation to COVID-19.
Methods: An online survey was administered to 288 patients with AF at several hospitals in China. The survey consisted of three sections: demographic characteristics, questions related to COVID-19, and the General Health Questionnaire-12 (GHQ-12).
Results: A total of 177 patients with AF completed the baseline survey; 177 (61.46%) were male and 133 (46.18%) were older than 65 years. High levels of psychological distress (GHQ-12 ≥3) were observed in 27 (9.4%) participants of the sample. These high levels were found to be associated with older age, radiofrequency ablation, drinking, and combined basic diseases (p values < .05).
Logistic regression analysis showed that psychological distress in patients with AF was associated with radiofrequency ablation (OR = 0.316, 95% CI = 0.147–0.666), drinking (OR = 4.761, 95% CI = 2.076–10.916), and concerns regarding infection (OR = 1.244, 95% CI = 1.052–1.472).
Conclusions: COVID-19 has resulted in high levels of psychological distress in approximately 9.4% of patients with AF in China. Factors associated with high levels of psychological distress in AF patients include older age, radiofrequency ablation, drinking, and combined comorbidities. These findings highlight the importance of enhancing psychological health throughout the course of infectious pandemics.
Detecting Shape-based Interactions among Environmental Chemicals using an Ensemble of Exposure-Mixture Regression and Interpretable Machine Learning Tools
Authors: Midya Vishal , Gennings Chris 
Published: May 2023

Abstract

There is growing interest in discovering interactions between multiple environmental chemicals associated with increased adverse health effects. However, most existing approaches (1) either use a projection or product of multiple chemical exposures, which are difficult to interpret, and (2) can not simultaneously handle multi-ordered interactions. Therefore, we develop and validate a method to discover shape-based interactions that mimic usual toxicological interactions. We developed the "Multi-ordered explanatory interaction" (Moxie) algorithm by merging the efficacy of Extreme Gradient Boosting with the inferential power of Weighted Quantile Sum regression to extract synergistic interactions associated with the outcome/odds of disease in an adverse direction. We evaluated the algorithm's performance through simulations and compared it with the currently available gold standard, the signed-iterative random forest algorithm. We used the 2017–18 US-NHANES dataset (n=447 adults) to evaluate interactions among nine per-and poly-fluoroalkyl substances and five metals measured in whole-blood in association with serum low-density lipoprotein cholesterol. In simulations, the Moxie algorithm was highly specific and sensitive and had very low false discovery rates in detecting true synergistic interactions of 2nd, 3rd, and 4th order through moderate (n=250) to large (n=1000) sample sizes. In NHANES data, we found a two-order synergistic interaction between cadmium and lead detected in people with whole-blood cadmium concentrations and lead above 0.605 ug/dL and 1.485 ug/dL, respectively. Our findings demonstrate a novel validated approach in environmental epidemiology for detecting shape-based toxicologically mimicking interactions by integrating exposure-mixture regression and machine learning methods.
Methods for Calculating the Carbon Footprint of Telemedicine: A Systematic Review
Authors: Zee C. van der , Chang-Wolf Msc J.M. , Koopmanschap M.A. , Leeuwen R. van , Wisse R.P.L. 
Published: May 2023

Abstract

Background: Healthcare is responsible for 4-10% of carbon dioxide (CO2) emissions worldwide, with travel-related emissions accounting for approximately 22%. Telemedicine has emerged as a potential solution, but there is a lack of comprehensive approaches to estimate carbon footprint savings, limiting our understanding of its environmental impact. The aim of this paper is to conduct a systematic review to evaluate how the carbon footprint of telemedicine is measured, report the impact of a telemedicine program, and propose an open-access calculator to estimate CO2 emissions for healthcare providers.
Methods: We conducted a systematic literature search following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines in the PubMed, Medline, Embase and Scopus databases to identify articles estimating the carbon footprint savings of telemedicine. We evaluated publications based on various categories, with ground travel and streamlined life cycle assessment (LCA) being the most important. Based on our findings and an example case in eyecare, we developed a Carbon Calculator for remote Care (CCrC) and applied this model to the papers included for ground travel analysis.
Results: Based on a search of 1,117 records, 30 articles were included for quantitative or qualitative analysis. The median roundtrip travel distance for each patient in 23 papers examining ground transportation emissions was 131 km (interquartile range [IQR]:52-386), resulting in 26.3 kilograms CO2 (kgCO2) (IQR:10.6-94.4) emissions. Calculations including LCA had a mean emission of 2.5% less than estimates excluding LCA. In our remote eyecare example, we estimated that 411,000 kgCO2/year could be saved from travel alone, or 401,000 kgCO2/year when accounting for LCA.
Conclusions: To prevent overestimation of CO2 emissions savings due to telemedicine, including LCA should be considered, although travel distance as a variable is the biggest contributor. Our CCrC is a preliminary attempt to roughly capture these factors and furthers the debate for structural measurement and calculation of CO2 in telemedicine.
Low-voltage dynamic light manipulation with silicon-organic slot
metasurfaces
Authors: Zheng Tianzhe , Gu Yiran , Kwon Hyounghan , Roberts Gregory , Faraon Andrei 
Published: May 2023

Abstract
Active metasurfaces provide the opportunity for fast spatio-temporal control of light. Among various tuning methods, organic electro-optic materials provide some unique advantages due to their fast speed and large nonlinearity, along with the possibility of using fabrication techniques based on infiltration. In this letter, we report a silicon-organic platform where organic electro-optic material is infiltrated into the narrow gaps of slot-mode metasurfaces with high quality factors. The mode confinement into the slot enables the placement of metallic electrodes in close proximity, thus enabling tunability at lower voltages. We demonstrate a tuning sensitivity of 0.16nm/V at telecommunication wavelength. These results provide a path towards tunable silicon-organic hybrid metasurfaces at CMOS-level voltages.
A Survey on the Machine Learning Techniques for Automated Diagnosis from
Ultrasound Images
Authors: Mohit Kumar , Gupta Rajeev , Kumar Basant 
Published: May 2023

Abstract:
Medical diagnostic systems has recently been very popular and reliable because of possible automatic detections. The machine learning algorithm
is evolved as a core tool of computer-aided diagnosis (CAD) for automatic early and accurate disease detections. The algorithm follows region of
interest (ROI) selection followed by specific feature extractions and selection from medical images. The selected features are then fed to suitable
classifiers for disease identification. The machine learning algorithm's performance depends on the features selected and the classifiers employed
for the job. This paper reviews different feature extraction selection and classification techniques for CAD from ultrasound images.
Ultrasonography (USG), due to its portability and its non-invasive nature, is the prime choice of doctors for prescribing as an imaging test. A
survey on the USG imaging based on four major diseases is performed in this paper, whose diagnosis followed by automatic detection. Various
techniques applied for feature extraction, selection, and classification by different authors to achieve improved accuracy are tabulated. For medical
images, we found texture based gray-level extracted features and SVM (support vector machine) classifiers to be more significant in improving
classification accuracy, even achieving 100% accuracy in many research articles. However, many research articles also suggest the importance of
student’s t-test in improving classification accuracy by selecting significant features from extracted features. The proposed algorithm's accuracy
also depends on the quality of medical images, which are frequently degraded by the introduction of noise and artifacts while imaging acquisition.
So, challenges in denoising are added in this paper as a separate topic to highlight the role of the machine learning algorithm in removing noise and
artifacts from the USG images.
Mendiskriminasikan Pesepeda: Analisis Konflik Video Dokumenter ‘Minoritas Urban: Diskriminasi Pesepeda’
Authors: Putri Aprillianty Belinda Ayu Nadifa , Azis Shafaa Salsabila Durotul , Oktavia Tita U’ut , Setyowati Ika , Pramono Didi 
Published: May 2023

Artikel mendalami permasalahan masyarakat urban khususnya deskriminasi kepada pesepeda dengan keterbatasan akses pengguna jalan yang dialami. Kajian menggunakan metode kualitatif untuk menggambarkan keadaan secara realistis dalam memahami makna dalam mempelajari suatu kasus. Lokasi dan fokus penelitian berada di Kota Jakarta yang merupakan ibu kota dengan kepadatan penduduk sehingga menimbulkan berbagai masalah sosial yaituperebutan hak para pengguna jalanan umum seperti sepeda dengan pengguna kendaraan lainnya. Subjek penelitian yang menjadi informan dalam penelitian ini merupakan pengguna sepeda bernama Adhito Hari Nugroho dan Rahmi sepeda yang hendak pergi bekerja. Banyak ditemukan pengguna jalan yang ingin mendominasi jalanan yang tidak seharusnya menjadi haknya. Kebijakan pemerintah dinilai cenderung kurang dalam mengatasi masalah ini.
Mahasiswa Dogiyai di Yogyakarta: kajian tentang adaptasi dan relasi sosialnya
Authors: Agapa Dency Bernadeta , Martiana Aris 
Published: May 2023

Penelitian mengkaji strategi adaptasi dan membangun relasi sosial mahasiswi dari Dogiyai Papua selama berkuliah di Yogyakarta. Penelitian ini menggunakan metode kualitatif deskriptif melalui wawancara 10 mahasiswi dan mahasiswa dari Dogiyai yang berkuliah di beberapa kampus negeri dan swasta di Yogyakarta. Hasil penelitian ini menunjukan bahwa strategi adaptasi dalam membangun relasi dipengaruhi oleh dua faktor baik faktor eksternal maupun faktor internal. Faktor internal diantaranya kondisi fisik, determinasi diri dan kepribadian. Sedangkan faktor eksternal sendiri terdiri dari proses belajar, pengalaman, latihan, lingkungan serta agama dan budaya. Dalam proses adaptasi mahasiswi tergabung dalam IPMADO (Ikatan Pelajar dan Mahasiswa Dogiyai) memilih strategi dalam mengatasi kondisi minimal yang mereka alami. Siasat tersebut dimulai dengan menahan diri, alternatif subsistensi dan membangun relasi sosial dengan mahasiswi umumnya dan penduduk lokal di Yogyakarta.
Examining Diversity in Digital Therapeutics Clinical Trials: Descriptive Analysis
Authors: Adu-Brimpong Joel , Pugh Jennifer , Darko David Agyen , Shieh Lisa 
Published: May 2023

Background
Digital therapeutics (DTx) are an emerging class of software-based medical therapies helping to improve care access and delivery. As we leverage these digital health therapies broadly in clinical care, it is important to consider sociodemographic representation underlying clinical trials data to ensure broad application to all groups.

Objective
We review current sociodemographic representation in DTx clinical trials using data from the Digital Therapeutics Alliance Product Library database.

Methods
We conducted a descriptive analysis of DTx products. We analyzed 15 manuscripts associated with 13 DTx products. Sociodemographic information was retrieved and compared with the US population’s demographic distribution.

Results
The median study size and age of participants were 252 and 43.3 years, respectively. Of the 15 studies applicable to this study, 10 (67%) reported that females made up 65% or greater of the study cohort. A total of 14 studies reported race data with Black or African American and Asian American individuals underrepresented in 9 and 11 studies, respectively. In 7 studies that reported ethnicity, Hispanics were underrepresented in all 7 studies. Furthermore, 8 studies reported education levels, with 5 studies reporting populations in which 70% or greater had at least some college education. Only 3 studies reported health insurance information, each reporting a study cohort in which 100% of members were privately insured.

Conclusions
Our findings indicate opportunities for improved sociodemographic representation in DTx clinical trials, especially for underserved populations typically underrepresented in clinical trials. This review is a step in examining sociodemographic representation in DTx clinical trials to help inform the path forward for DTx development and testing.