bluuebunny/crossref_metadata_2025_split huggingface dataset:
System of Monitoring and Response to Public Health Emergencies of Sanitary-Epidemiological Character in the CIS Countries
Authors: Kutyrev V. V. , Shcherbakova S. A. , Karnaukhov I. G. , Kas’yan Zh. A. , Shiyanova A. E. , Gorbunov V. A. , Kras’ko A. G. , Leshkevich A. L. , Fedorovich E. V. , Semizhon P. A. , Rustamova L. M. , Petkevich A. S. , Erubaev T. K. , Ayazbaev T. Z. , Turegeldieva D. A. , Kovaleva G. G. , Berdiev S. K. , Usenbaev N. T. , Kazybaeva Zh. S. 
Published: November 2022

The most important component of strengthening the potential for responding to biological threats both at the national and interstate levels is the formation of a unified system for monitoring and responding to emergencies (ES) of sanitary-epidemiological nature in the CIS territory.The aim of the work was to review the systems for monitoring and responding to emergencies of sanitary-epidemiological character in the CIS countries by the example of the Russian Federation, the Republic of Belarus, the Republic of Kazakhstan and the Kyrgyz Republic, to characterize the main areas of international cooperation on countering biological threats and coordinating international response measures in the CIS countries.Materials and methods. Information and analytical materials provided by organizations responsible for epidemiological surveillance and control in the CIS countries, Internet sources, and publications were used for the study.Results and discussion. The organization and functioning of the systems for monitoring and responding to emergencies in the CIS countries is a state function. It includes, as a rule, the national, regional (sub-national) and territorial (local) levels, which have horizontal and vertical connections. The legal framework is made up of documents of the legislative level. Interdepartmental interaction in response to emergencies is carried out both at the republican level and in administrative territories; the basis for interaction is the integrated planning of preventive and anti-epidemic measures and the functioning of the relevant organizational structures on an ongoing basis. Since 2015, with the support of the Government of the Russian Federation, programs have been implemented aimed at assisting partner countries in the implementation of the International Health Regulations (2005) in order to increase national response capacity and form a unified sanitaryepidemiological emergency response system in the CIS countries. The main areas of collaboration are strengthening the material and technical base and human resources of specialized institutions and scientific cooperation. As a result of the program implementation, a unified system for monitoring and prompt response to emergencies in the field of public health of sanitary-epidemiological nature has essentially been formed in the CIS countries to date, uniting more than 15 specialized institutions from 8 CIS countries.
Community general practitioner trainers’ knowledge and training needs of asymptomatic carotid stenosis management and prevention: a cross-sectional study
Authors: Cen Mengchai , Chen Xinyue , Yu Kai , Gao Xiaotong , Wang Shuang 
Published: November 2022

Abstract
Background
To investigate the general practitioner (GP) trainers’ knowledge level of asymptomatic carotid stenosis (ACS) management and the impact factors, and their potential training needs in community training bases of General Practitioners' Standardized Training (GPST).
Methods
A regional cross-sectional study was conducted. All the community GP trainers in Liaoning GPST institutes were included. We use a self-designed instrument to collect participants’ general information, knowledge of ACS management and prevention, and training needs.
Results
Between Mar 2022 and April 2022, 167 participants were invited in Community Base of Liaoning GPST, 134 GP trainers’ answers were reliable and were included in the final analysis. The mean score of GP trainers’ knowledge of ACS prevention and management was 13.04 with an accuracy rate of 0.38. Gender (OR: 2.93) and working experience as a GP (OR: 2.84) were the significant impact factors(P < 0.05). The majority of GP trainers would like to be trained to improve their knowledge while only nearly 20% prefer high-frequency training.
Conclusions
In Liaoning province, community GP trainers’ knowledge of ACS management and prevention was at a low level. Gender and years of working experience as a GP were major impact factors on the GP trainers’ knowledge.
Validation of the Vietnamese version of the EORTC QLQ-SWB32: A measure of spiritual well-being in cancer patients
Authors: Pham Huong , Vu Dau , Nguyen Tam , Nguyen Huong , Pham Ngoc , Nguyen Nga 
Published: November 2022

Abstract
Purpose: The quality of life of people with cancer can be improved by helping them discover meaning and purpose in life, even if they are faced with a potentially fatal illness. This study aimed to evaluate the reliability and applicability of the Vietnamese version of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Spiritual Well-being 32 (EORTC QLQ-SWB32) measurement in cancer patients.
Methods: A total of 214 patients from four hospitals with cancer treatment facilities or having an oncology department were invited to participate in the study. The data were collected from November 2021 to April 2022 and analyzed for validation.
Results: In this group of participants, the type of cancer with the highest prevalence rate was lung cancer (71%). The confirmatory factor analysis of construct validity with Chi-Square/df = 2.283, goodness-of-fit index = 0.846, comparative fit index = .742, and root mean square error of approximation = .078 confirmed the culturally distinguished model fit in Vietnamese people with cancer. The reliability of the instrument ranged from 0.604 to 0.749 for Relationship with Someone or Something Greater (RSG) and Relationship with Others (RO). In the group of patients who identified as having a religion, patients with no religion had lower RSG scores than Catholics or Buddhists. There were distinctions in the median Relationship with Self (RS) scores according to the severity of most Edmonton symptoms.
Conclusion: The Vietnamese version of the EORTC QLQ-SWB32 tool was accepted and reliable, specifically for cancer patients in Vietnam.
Budget Impact Analysis of High-priced Orphan Medicinal Products intended for the treatment of Rare Diseases in China: Evidence from a densely populated metropolis of Chengdu
Authors: ZHANG Xiaoxing , ZHOU Tingting , ZHOU Jing , ZHANG Doudou , YANG Yili , Pan Jay 
Published: November 2022

Abstract
Background
In China, in addition to cost-related reasons, most high-priced orphan medicinal products (OMPs) remain excluded from the coverage of the social health insurance program due to the lack of reimbursement budget via economic evaluation approaches.
Purpose
To estimate the budget of high-priced OMPs for life-threatening rare diseases (RDs) from the societal and health care payers’ perspectives, while analyzing the budget sustainability.
Methods
Based on the patient data in a densely populated metropolis of Chengdu, China in 2019, the budget impact posed by high-priced OMPs was analyzed from a societal perspective. Next, a scenario analysis was performed based on 3 parameters, namely the assumed policy scenarios, the number of patients, and the OMPs price to assess the variation of the budget from the payers’ perspective. Finally, the budget for OMPs was estimated for the next three years.
Results
According to the survey, 98 rare disease patients were in the need of high-priced OMPs in Chengdu, China in 2019, which suggested the necessity of projecting a budget of CNY 179 million for this group of patients without the coverage of reimbursement policies from the societal perspective. Such budget would range from CNY 32 million to CNY 156 million under the context of six assumed policy scenarios. For the next three years, the budget for each single year was estimated to range from CNY 200 million to CNY 1.303 billion.
Conclusions
The study found that the financial burden posed by OMPs on each patient was exceptionally heavy, while the budget impact of OMPs for RDs on the whole society and payers was relatively limited due to the limited number of patients. The estimated budgets based on scenario analysis were expected to inform the formulation regarding OMPs.
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
Authors: Slack Dylan , Krishna Satyapriya , Lakkaraju Himabindu , Singh Sameer 
Published: November 2022

Abstract
Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability methods because they do not know which to choose and how to interpret the results. We address these challenges by introducing TalkToModel: an interactive dialogue system that enables users to explain ML models through natural language conversations. TalkToModel comprises three components: 1) an adaptive dialogue engine that interprets natural language and generates meaningful responses, 2) an execution component, which constructs the explanations used in the conversation, 3) a conversational interface. In real-world evaluations, 73% of healthcare workers agreed they would use TalkToModel over existing systems for understanding a disease prediction model, and 85% of ML professionals agreed TalkToModel was easier to use, demonstrating that TalkToModel is highly effective for model explainability.
WITHDRAWN: Immersive Experience Arousal Process of Vocal Music Language: From Perspectives of "Music" and "Lyrics"
Authors: Wei Ying 
Published: November 2022

Abstract
Interpersonal interaction through vocal music language has become an important channel for cross-cultural social life. How to skillfully use vocal music language to stimulate the audience's emotional arousal and trigger their immersive experience has become a research focus in the field of music. At present, the academic research on vocal music language is diversified, and has explored the path of vocal music occurrence and its development direction under specific circumstances. However, the process of immersive experience arousal from the perspective of "music" language and "lyrics" language is a hidden code study. In order to comprehensively consider various styles of vocal music, we selected the music of three different singing styles including folk style singing, bel canto and popular singing as experimental materials to study the arousal process of the audiences' immersive experience of vocal music language when listening to music. The results indicate that both "music" and "lyrics" language perceptions exert a significantly positive impact on the audience's emotional arousal and immersive experience, and in addition, arousal plays a significant mediating role between vocal music language and immersive experience. Therefore, by means of clarifying the internal logic of the audience's immersive experience from the perspectives of "music" and "lyrics" in the vocal music language, this study provides new theoretical insights for the applicable boundary of telepresence in the vocal music field, facilitate operators to design on-the-scene vocal music art environment to convey the emotional connotation of vocal music, and further promote the development of the vocal music field.
Establishment of In Vitro Cultures and Investigation of Micropropagation Possibilities In Shoot Tip Explants of Different Mastic Tree (Pistacia lentiscus L.) Genotypes
Authors: Uysal Hüseyin , Kılıç Malum Umut 
Published: November 2022

Abstract
The aim of this study was to perform in vitro clonal micropropagation of mature mastic trees (Pistacia lentiscus L.). In addition, browning problems in culture media, different sampling periods and success of genotypes were investigated. In the study, 1–2-years-old wood cuttings which are approximately 20–25 cm belonging to 4 different genotypes were used as the starting plant material. Samples were taken in November, December and January. The shoot tips obtained by forcing the hardwood cuttings in distilled water were used as explants in tissue culture. When all genotypes are averaged, the average shoot value per cutting was found at the highest level in January with 6.57. The application of paraffin, which covers the basal parts of the explants, significantly reduced or even completely prevented browning. In the second stage of the January period, 51.33% of the explants formed adventitious buds in MS media containing 1 mg/l BAP (6-benzylaminopurine) and 0,5 mg/l GA3 (gibberellic acid). Explants of wild genotype showed 61.54% rooting in MS medium containing 2 mg/l IBA (indole-3-butyric acid). The rooting success achieved in the wild genotype indicates that it is possible to micrograft shoot tips of culture clones onto rooted wild genotype explants rather than related species. If it was further developed, this method would stand out as the most reasonable method for commercial micropropagation of mastic trees.
NFKBIE Is a Predictive Factor of Survival and Is Correlated With Immune Infiltration, Antigen Processing, And Presentation In Hepatocellular Carcinoma
Authors: Qian Liting , Li Heng , Tu Jinqi , Zhang Yang , Dai Tiancheng , Sun Sinan , Wang Jian , Tu Congyin , Zheng Lin 
Published: November 2022

Abstract
Background
The important role of the NFκBpathway in tumor development has long been recognized. but the role of the NFκB inhibitor family in liver cancer has not been studied. Hepatocellular carcinoma（HCC）has become a serious public health burden with high incidence, poor prognosis, and early detection, especially in Asia where hepatitis is prevalent.
Methods
The transcript level of the NFκB inhibitor family was investigated in HCC and normal tissues using Metabolic Gene Rapid Visualizer, UALCAN, and Tumor Immune Estimation Resource database（TIMER）respectively. Survival curves of NFKBIE were obtained using the Kaplan-Meier database. Genes co-expressed with NFKBIE in hepatocellular carcinoma were studied by LinkedOmics and Hepatocellular Carcinoma Database（HCCDB） respectively. Protein-protein interaction (PPI) Networks, gene ontology, and KEGG enrichment pathway analyses provide a novel method for investigating the NFKBIE mechanism in HCC. Using the TIMER database, the connection between immune infiltration and NFKBIE was determined. RNA-Seq was used to evaluate NFKBIE's function in HCC and its impact on proliferation and migration. Western Blot was used to confirm the expression of NFKBIE in HCC cell lines.In addition, we demonstrated NFKBIE overexpression in HCC using tissue microarrays encompassing 80 pairs of HCC and normal liver tissues.
Results:
NFKBIE was the only NFκBinhibitor in its family with high expression and a better prognosis in HCC.NFKBIE was correlated with clinical characteristics such as tumor grade, TP53 mutation status, and tumor stage.GSCA database suggested that NFKBIE might inhibit the PI3K/AKT, RAS/MAPK, RTK, and TSC/mTOR pathways. In addition, NFKBIE was significantly associated with B cell immune infiltration, and our RNA-Seq data showed that NFKBIE knockout significantly affected antigen presentation and hepatocellular carcinoma pathways. Immunohistochemistry on microarrays of tissue samples revealed that NFKBIE was overexpressed in various stages of HCC. Inhibition of NFKBIE also decreased the growth and migration of hepatocellular carcinoma cells.
Conclusion：
Due to its prognostic value and overexpression in hepatocellular carcinoma, NFKBIE distinguished itself from other NFκB inhibitors. As such, it may provide a novel prognostic indicator and immunotherapeutic target in HCC.
A fuzzy-based framework for diagnosing esophageal motility disorder using high-resolution manometry
Authors: Rafieivand Safa , Moradi Mohammad Hassan , Sanat Zahra Momayez , Soleimani Hosein Asl 
Published: November 2022

Abstract
In recent years, the high-resolution manometry (HRM) technique has been increasingly used to study esophageal and colonic pressurization and has become a standard routine for discovering mobility disorders. In addition to evolving guidelines for the interpretation of HRM like Chicago, some complexities, such as the dependency of normative reference values on the recording device and other external variables, still remain for medical professions. In this study, a decision support framework is developed to aid the diagnosis of esophageal motility disorders based on HRM data. To abstract HRM data, a new graph-based representation method is introduced that is derived from the spatio-temporal dependencies of pressure values of HRM components. Convolutional graph networks are then utilized to embed relation graphs to the features vector. In the decision-making stage, a novel Expert per Class Fuzzy Classifier (EPC-FC) is presented that employs the ensemble structure and contains expertized sub-classifiers for recognizing a specific disorder. Training sub-classifiers using the negative correlation learning method makes the EPC-FC highly generalizable. Meanwhile, separating the sub-classifiers of each class gives flexibility and interpretability to the structure. The classification results show that our system can distinguish motility disorders with an average accuracy of 78.03% for a single swallow and 92.54% for subject-level classification. Our framework outperforms other comparative classifiers such as SVM and AdaBoost. Moreover, compared with the other studies, the suggested framework has an outstanding performance considering that it imposes no limits on the type of classes or HRM data.
Generalized Spoof Detection and Incremental Algorithm Recognition for Spoofing Voice
Authors: Guo Jinlin , Zhao Zuxing 
Published: November 2022

Abstract
Highly deceptive deep-fake technologies have caused much controversy, e.g.,
artificial intelligence-based software can automatically generate nude photos and
deep-fake images of Obama, Putin, and other political figures. This brings
considerable threats to both individuals and society. In addition to video and
image forgery, audio forgery poses many hazards but lacks sufficient attention.
Furthermore, existing work has only focused on voice spoof detection, neglecting
the identification of spoof algorithms. It is of great value to recognize the
algorithm for synthesizing spoofing voices in traceability. This study presents a
system combining voice-spoof detection and algorithm recognition. In contrast,
the generalizability of the spoof detection model is discussed from the perspective
of embedding space and decision boundary to face the spoofing voice attacks
generated by spoof algorithms that are not available in the training set. This
study presents a method for voice spoof algorithms recognition based on
incremental learning, taking into account the data flow scenarios where new spoof
algorithms keep appearing in reality. Our experimental results on the LA dataset
of ASVspoof2019 show that our system can improve the generalization of spoof
detection and identify new voice spoof algorithms without catastrophic forgetting.
Molecular patterns identify distinct subclasses of myeloid neoplasia
Authors: Kewan Tariq , Durmaz Arda , Bahaj Waled , Gurnari Carmelo , Terkawi Laila , Awada Hussein , Ogbue Olisaemeka , Ahmed Ramsha , Pagliuca Simona , Awada Hassan , Kutoba Yasuo , Mori Minako , Ponvilawan Ben , Al-Share Bayan , Patel Bhumika , carraway hetty , Scott Jacob , Balasubramanian Suresh , Bat Taha , Madanat Yazan , Sekeres Mikkael , Haferlach Torsten , Visconte Valeria , Maciejewski Jaroslaw 
Published: November 2022

Abstract
Background
Genomic mutations drive the pathogenesis of myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML). While morphological and clinical features, complemented by cytogenetics, have dominated the classical criteria for diagnosis and classification, incorporation of molecular mutational data can illuminate functional pathobiology.
Methods
We combined cytogenetic and molecular features from a multicenter cohort of 3588 MDS, MDS/ myeloproliferative neoplasm (including chronic myelomonocytic leukemia [CMML]), and secondary AML patients to generate a molecular-based scheme using machine learning methods and then externally validated the model on 412 patients. Molecular signatures driving each cluster were identified and used for genomic subclassification.
Findings
Unsupervised analyses identified 14 distinctive and clinically heterogenous molecular clusters (MCs) with unique pathobiological associations, treatment responses, and prognosis. Normal karyotype (NK) was enriched in MC2, MC4, MC6, MC9, MC10, and MC12 with different distributions of TET2, SF3B1, ASXL1, DNMT3A, and RAS mutations. Complex karyotype and trisomy 8 were enriched in MC13 and MC1, respectively. We then identified five risk groups to reflect the biological differences between clusters. Our clustering model was able to highlight the significant survival differences among patients assigned to the similar IPSS-R risk group but with heterogenous molecular configurations. Different response rates to hypomethylating agents (e.g., MC9 and MC13 [OR: 2.2 and 0.6, respectively]) reflected the biological differences between the clusters. Interestingly, our clusters continued to show survival differences regardless of the bone marrow blast percentage.
Interpretation
Despite the complexity of the molecular alterations in myeloid neoplasia, our model recognized functional objective clusters, irrespective of anamnestic clinico-morphological features, that reflected disease evolution and informed classification, prognostication, and molecular interactions. Our subclassification model is available via a web-based open-access resource as well (https://drmz.shinyapps.io/mds_latent).