bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experience of life quality from patients with aplastic anemia: a descriptive qualitative study
Authors: Liu Ting , Pan Yue , Ye Menghua , Sun Qiuhua , Ding Xinghong , Xu Min 
Published: December 2023

AbstractBackgroundDespite the increasing incidence of aplastic anemia in China, few studies have explored its effect on the patients’ quality of life from the perspective of these patients. In fact, patients with aplastic disorder live with the disease for a long time, and need to face a variety of difficult realities, including multiple disease symptoms and drug side effects, heavy burden of medical costs, difficulties in social reintegration, and negative emotional distress. Therefore, this study used descriptive qualitative research to explore the direct and rich quality-of-life experiences of patients with aplastic anemia.MethodsA total of 19 patients with aplastic anemia were recruited in this study using purposive sampling combined with maximum variation strategy. 5 of the patients with AA were from northern China, and the others were from southern China. Data were collected using semi-structured interviews and analyzed using the conventional content analysis method.ResultsThis study yielded important information about the experiences of patients with aplastic anemia in China. The content analysis method finally identified 3 themes and 9 sub-themes, including: physical symptoms (declining physical capacity, treatment-related symptoms, changes in body image), psychological symptoms (mood changes related to the stage of the disease, change in self-image, growth resulting from the disease experience), social burden (decline in career development, perceived burden to the family, social stigma). Patients with AA from different regions didn’t show much difference in quality of life.ConclusionsAplastic anemia affects the physical, psychological, and social aspects of patients’ lives. Therefore, health care providers need to consider the patients’ physical response and psychological feelings to provide relevant medical guidance and multi-channel social support that would improve their confidence and quality of life.Clinical trial registrationName: Development and preliminary application of Quality of Life Scale for Patients with Aplastic Anemia. Number: ChiCTR2100047575. URL:http://www.chictr.org.cn/login.aspx?referurl=%2flistbycreater.aspx.
3D printed zirconia used as dental materials: a critical review
Authors: Su Guanyu , Zhang Yushi , Jin Chunyu , Zhang Qiyue , Lu Jiarui , Liu Zengqian , Wang Qiang , Zhang Xue , Ma Jia 
Published: December 2023

AbstractIn view of its high mechanical performance, outstanding aesthetic qualities, and biological stability, zirconia has been widely used in the fields of dentistry. Due to its potential to produce suitable advanced configurations and structures for a number of medical applications, especially personalized created devices, ceramic additive manufacturing (AM) has been attracting a great deal of attention in recent years. AM zirconia hews out infinite possibilities that are otherwise barely possible with traditional processes thanks to its freedom and efficiency. In the review, AM zirconia’s physical and adhesive characteristics, accuracy, biocompatibility, as well as their clinical applications have been reviewed. Here, we highlight the accuracy and biocompatibility of 3D printed zirconia. Also, current obstacles and a forecast of AM zirconia for its development and improvement have been covered. In summary, this review offers a description of the basic characteristics of AM zirconia materials intended for oral medicine. Furthermore, it provides a generally novel and fundamental basis for the utilization of 3D printed zirconia in dentistry.
Pareto vectors of continuous linear operators
Authors: García-Pacheco Francisco Javier 
Published: December 2023

AbstractThe intersection of all zero-neighborhoods in a topological module over a topological ring is a bounded and closed submodule whose inherited topology is the trivial topology. In this manuscript, we prove that this is the smallest closed submodule and thus replaces the null submodule in the Hausdorff setting. This fact motivates to introduce a new notion in operator theory called topological kernel. Another new concept is also defined that of Pareto optimal element for a family of continuous linear operators between topological modules. It is then proved that topological kernels have a strong influence on the existence of Pareto optimal elements. This work is strongly motivated by the ongoing search for a consistent operator theory on topological modules over general topological rings.
Deep transfer learning for visual analysis and attribution of paintings by Raphael
Authors: Ugail Hassan , Stork David G. , Edwards Howell , Seward Steven C. , Brooke Christopher 
Published: December 2023

Abstract
Visual analysis and authentication of artworks are challenging tasks central to art history and criticism. This preliminary study presents a computational tool for scholars examining and authenticating a restricted class of paintings, with a specific focus on the paintings of Raffaello Sanzio da Urbino, more popularly known as Raphael. We applied transfer learning to the ResNet50 deep neural network for feature extraction and used a support vector machine (SVM) binary classifier in support of authentication. Edge detection and analysis algorithms, considered to be crucial for capturing the essence of Raphael’s artistic style, including the brushwork signatures, were also integrated and are used as an authentication tool. The machine learning approach we have developed demonstrates an accuracy of 98% in image-based classification tasks during validation using a test set of well known and authentic paintings by Raphael. Of course, a full authentication protocol relies on provenance, history, material studies, iconography, studies of a work’s condition, and more. Our work, then, contributes to just a portion of a full authentication protocol. Our findings suggest that machine learning methods, properly employed by experts aware of context, may enhance and expand traditional visual analysis for problems in art authentication.
A novel intelligent approach for flight delay prediction
Authors: Mamdouh Maged , Ezzat Mostafa , A.Hefny Hesham 
Published: December 2023

AbstractFlight delay prediction is one of the most significant components of intelligent aviation systems that may spread throughout the whole aviation network and cause multi-billion-dollar losses faced by airlines and airports, it is quickly becoming an important research issue to improve airport and airline performance. Thus this paper proposed an effective algorithm called Flight Delay Path Previous-based Machine Learning (FDPP-ML) capable of improved prediction of individual flight delay minutes using regression models to an up level of accuracy. As aviation system connectivity presents complex spatial–temporal correlations, machine learning approaches have addressed flight delay prediction by using complex flight or weather features, or private information for specific airports and airlines that are hard to obtain, In contrast, the proposed FDPP-ML improved prediction based only on basic flight schedule features even with wide flight networks. The FDPP-ML consists of a novel algorithm with a supervised learning model, which works on reshaping datasets and creates two new features the main feature is previous flight delay (PFD) for flight paths, there is a strong relationship between departure and arrival delay, and vice versa for the same flight path, which increases the strength of the training model based on historical data. For target future flights, the algorithm works on inheriting the predicted flight delay to the next flight on the same flight path and repeats this process to end the prediction forecast horizon. The proving of approach effectiveness by using a wide network of US flight arrival and departure flights containing 366 airports and 10 airlines with various metrics accuracies of regression, and explanatory the impacts on various forecast horizons 2, 6, and 12 h for future flights. The FDPP-ML outperforms traditional training models by using machine and deep learning models and improving model accuracy in 10 models with an average of up to 39% in MAE, and 42% in MSE in a forecast horizon of 2 h. Finally, providing airport and airline analysis further reveals that can improve prediction than traditional training models for the individual busiest airports "Core 30" with an average of 35% in MAE and 42% in MSE respectively, and for the busiest 10 airlines with an average of 36% in MAE and 47% in MSE respectively. The findings of this study may offer informative recommendations to airport regulators and aviation authorities for developing successful air traffic control systems for enhanced flight delay prediction to flight operational effectiveness, not only over the US flight network but with wide worldwide flight networks if a dataset of flights existed.
Selection process of photovoltaic standalone pumping systems
Authors: Syam Fathy A. , Arafa Osama M. 
Published: December 2023

AbstractThe application of a standalone photovoltaic (PV) system for water pumping has increased nowadays in remote areas of developing countries due to proven economic feasibility compared to other traditional alternatives. Pump–motor set manufacturers always give the pump characteristic at the motor's nominal speed. The traditional selection process of pumps depends simply on selecting a pump with the highest peak efficiency that can satisfy the desired duty point with its peak efficiency occurring at that duty point. However, this simple selection process could lead to selecting a pump that is not the best selection from among a given set of candidate pumps for the targeted service.In this paper, this fact is revealed by comparing two pumps each having the same peak efficiency and each of them can operate at the desired duty point with one critical difference between the two pumps. One of the two pumps has its peak efficiency occurring at the right of the duty point and the other has its peak efficiency occurring at the left of the desired duty point. The methodology of this research is based on calculating the daily efficiency of each pump by calculating the hydraulic power produced with the electrical power of the solar system. The efficiency calculation has been calculated over two working days, one with low radiation (3 kW/m2/day) and the other with high radiation (7.3 kW/m2/day). The search for the all-day efficiency for low radiation levels revealed that the pump with left-shifted peak efficiency gives 42.5% while for high radiation level gives 40.3%. In two cases the pump with left-shifted peak efficiency constitutes the best choice.
Early user perspectives on using computer-aided detection software for interpreting chest X-ray images to enhance access and quality of care for persons with tuberculosis
Authors: Creswell Jacob , Vo Luan Nguyen Quang , Qin Zhi Zhen , Muyoyeta Monde , Tovar Marco , Wong Emily Beth , Ahmed Shahriar , Vijayan Shibu , John Stephen , Maniar Rabia , Rahman Toufiq , MacPherson Peter , Banu Sayera , Codlin Andrew James 
Published: December 2023

AbstractDespite 30 years as a public health emergency, tuberculosis (TB) remains one of the world’s deadliest diseases. Most deaths are among persons with TB who are not reached with diagnosis and treatment. Thus, timely screening and accurate detection of TB, particularly using sensitive tools such as chest radiography, is crucial for reducing the global burden of this disease. However, lack of qualified human resources represents a common limiting factor in many high TB-burden countries. Artificial intelligence (AI) has emerged as a powerful complement in many facets of life, including for the interpretation of chest X-ray images. However, while AI may serve as a viable alternative to human radiographers and radiologists, there is a high likelihood that those suffering from TB will not reap the benefits of this technological advance without appropriate, clinically effective use and cost-conscious deployment. The World Health Organization recommended the use of AI for TB screening in 2021, and early adopters of the technology have been using the technology in many ways. In this manuscript, we present a compilation of early user experiences from nine high TB-burden countries focused on practical considerations and best practices related to deployment, threshold and use case selection, and scale-up. While we offer technical and operational guidance on the use of AI for interpreting chest X-ray images for TB detection, our aim remains to maximize the benefit that programs, implementers, and ultimately TB-affected individuals can derive from this innovative technology.
Trends in Lung Cancer Incidence and Mortality (1990-2019) in the United States: A Comprehensive Analysis of Gender and State-Level Disparities
Authors: Jani Chinmay T. , Singh Harpreet , Abdallah Nour , Mouchati Christian , Arora Shreya , Kareff Samuel , Salciccioli Justin , Thomson Carey C. , Velcheti Vamsidhar 
Published: December 2023

PURPOSE Lung cancer is the leading cause of cancer-related deaths in the United States. This study aims to analyze lung cancer incidence, mortality, and related statistics from 1990 to 2019, focusing on national- and state-level trends and exploring potential disparities between sexes. METHODS The Global Burden of Disease database was used to extract tracheal, bronchus, and lung cancer mortality data from 1990 to 2019 for both males and females and across all states of the United States. Age-standardized incidence rates, age-standardized mortality rates, disability-adjusted life years (DALYs), and mortality-to-incidence indices (MIIs) were studied to assess for gender-based, geographic, and temporal disparities. Joinpoint regression analysis was performed to further evaluate trends. RESULTS The incidence of these cancers in the United States decreased between 1990 and 2019 by 23.35%, with a more significant decline in males (37.73%) than females (1.41%). Similarly, for mortality, a decrease was observed for both sexes combined (26.83%), but much more significantly for males (40.23%) than females (6.01%). The MIIs decreased overall, but there were variations across states. DALYs decreased for both sexes combined, with males experiencing a larger reduction, but an increase was noted in some states for females. CONCLUSION This analysis reveals diverse trends pertaining to the incidence, mortality, and disability burden associated with lung cancer by sex and states in the United States, emphasizing the need for targeted interventions to reduce disparities. These findings contribute to our understanding of the current landscape of lung cancer and can inform future strategies for prevention, early detection, and management.
Increased Thyroid DPP4 Expression Is Associated With Inflammatory Process in Patients With Hashimoto Thyroiditis
Authors: Wen Xiaohui , Chang Xiaona , He Xueqing , Cai Qingyun , Wang Guang , Liu Jia 
Published: December 2023

Abstract

Context
Dipeptidyl peptidase-4 (DPP4) is originally described as a surface protein in lymphocytes. Lymphocyte infiltration and subsequent destruction of thyroid tissue have been considered as the central pathological mechanism in Hashimoto thyroiditis (HT).

Objective
The present study aimed to investigate DPP4 expression in peripheral blood and thyroid tissue in HT patients, and explore the role of DPP4 in the pathophysiological process of HT.

Methods
This case-control study recruited 40 drug-naive HT patients and 81 control individuals. Peripheral blood and thyroid specimens were collected for assessing the expression and activity of DPP4. Moreover, single-cell RNA sequencing (scRNA-seq) analysis of 6 “para-tumor tissues” samples from scRNA-seq data set GSE184362 and in vitro cell experiments were also conducted.

Results
The HT patients had similar DPP4 serum concentration and activity as the controls. However, the expression and activity of DPP4 was significantly increased in the thyroid of the HT group than in the control group. The scRNA-seq analysis showed that DPP4 expression was significantly increased in the HT group, and mainly expressed in T cells. Further in vitro studies showed that inhibition of lymphocyte DPP4 activity with sitagliptin downregulated the production of inflammatory factors in co-cultured thyroid cells.

Conclusion
DPP4 expression was significantly increased in the thyroid of the HT group compared with the control group, and was mainly localized in the lymphocytes. Inhibition of lymphocyte DPP4 activity reduced the production of inflammatory factors in co-cultured thyroid cells. Therefore, inhibition of DPP4 may have a beneficial effect by alleviating inflammatory reactions in HT patients.
Wnt16Promotes Vascular Smooth Muscle Contractile Phenotype and Function via Taz (Wwtr1) Activation in MaleLDLR−/−Mice
Authors: Behrmann Abraham , Zhong Dalian , Li Li , Xie Shangkui , Mead Megan , Sabaeifard Parastoo , Goodarzi Mohammad , Lemoff Andrew , Kozlitina Julia , Towler Dwight A 
Published: December 2023

AbstractWnt16 is expressed in bone and arteries, and maintains bone mass in mice and humans, but its role in cardiovascular physiology is unknown. We show that Wnt16 protein accumulates in murine and human vascular smooth muscle (VSM). WNT16 genotypes that convey risk for bone frailty also convey risk for cardiovascular events in the Dallas Heart Study. Murine Wnt16 deficiency, which causes postnatal bone loss, also reduced systolic blood pressure. Electron microscopy demonstrated abnormal VSM mitochondrial morphology in Wnt16-null mice, with reductions in mitochondrial respiration. Following angiotensin-II (AngII) infusion, thoracic ascending aorta (TAA) dilatation was greater in Wnt16−/− vs Wnt16+/+ mice (LDLR−/− background). Acta2 (vascular smooth muscle alpha actin) deficiency has been shown to impair contractile phenotype and worsen TAA aneurysm with concomitant reductions in blood pressure. Wnt16 deficiency reduced expression of Acta2, SM22 (transgelin), and other contractile genes, and reduced VSM contraction induced by TGFβ. Acta2 and SM22 proteins were reduced in Wnt16−/− VSM as was Ankrd1, a prototypic contractile target of Yap1 and Taz activation via TEA domain (TEAD)-directed transcription. Wnt16−/− VSM exhibited reduced nuclear Taz and Yap1 protein accumulation. SiRNA targeting Wnt16 or Taz, but not Yap1, phenocopied Wnt16 deficiency, and Taz siRNA inhibited contractile gene upregulation by Wnt16. Wnt16 incubation stimulated mitochondrial respiration and contraction (reversed by verteporfin, a Yap/Taz inhibitor). SiRNA targeting Taz inhibitors Ccm2 and Lats1/2 mimicked Wnt16 treatment. Wnt16 stimulated Taz binding to Acta2 chromatin and H3K4me3 methylation. TEAD cognates in the Acta2 promoter conveyed transcriptional responses to Wnt16 and Taz. Wnt16 regulates cardiovascular physiology and VSM contractile phenotype, mediated via Taz signaling.
The Molecular Biology of Midgut Neuroendocrine Neoplasms
Authors: Webster Amy P , Thirlwell Chrissie 
Published: December 2023

Abstract
Midgut neuroendocrine neoplasms (NENs) are one of the most common subtypes of NEN, and their incidence is rising globally. Despite being the most frequently diagnosed malignancy of the small intestine, little is known about their underlying molecular biology. Their unusually low mutational burden compared to other solid tumors and the unexplained occurrence of multifocal tumors makes the molecular biology of midgut NENs a particularly fascinating field of research. This review provides an overview of recent advances in the understanding of the interplay of the genetic, epigenetic, and transcriptomic landscape in the development of midgut NENs, a topic that is critical to understanding their biology and improving treatment options and outcomes for patients.
Biopsychosocial Late Effects After Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy for Peritoneal Metastases from Colorectal and Appendiceal Cancer: A National Prospective Cohort Study
Authors: Balachandran Rogini , Thaysen Henriette Vind , Christensen Peter , Zachariae Robert , Iversen Lene Hjerrild 
Published: December 2023

Abstract
Background
Colorectal cancer with peritoneal metastases can be treated with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy. Treatment may result in biopsychosocial late effects (LEs). We explored the frequency and severity of the following biopsychosocial LEs: anxiety, depression, fear of cancer recurrence (FCR), insomnia, fatigue, cognitive impairment, and pain, and evaluated their impact on quality of life (QoL).

Method
This was a national prospective cohort study screening for LEs during the period January 2021–May 2023. Patients completed the following questionnaires: General Anxiety Disorder-7, Patient Health Questionnaire-9, FCR Inventory-Short Form, Insomnia Severity Index, Functional Assessment of Chronic Illness Therapy-Fatigue, cognitive impairment (six items from the European Organisation for Research and Treatment of Cancer Item Library), and the Rectal Cancer Pain Score. Preregistration was completed at ClinicalTrials.gov (NCT04956107).

Result
In total, 99 patients were included. The mean age was 61 years and 57% were women. At 3 months after surgery, the frequent LEs were fatigue (72%), FCR (58%), and pain (48%), and at 12 months after surgery, the frequent LEs were FCR (65%), fatigue (40%), and insomnia (33%). More than half of the patients (54%) reported at least two LEs after 12 months. Patients with moderate-to-severe LEs reported a lower QoL than patients with no/mild LEs. Patients with no/mild LEs had a similar QoL as the Danish norm population.

Conclusion
Biopsychosocial LEs were prevalent. The QoL of patients reporting LEs in the worst severity categories was negatively impacted. Screening and treatment for these LEs should be a focus in cancer survivor follow-up.
ISSUES OF DIVISION OF POWERS BETWEEN THE RUSSIAN FEDERATION AND ITS SUBJECTS IN THE FIELD OF PHYSICAL EDUCATION AND SPORTS
Authors: Zelepukin Roman V. , Lipuntsova Anna V. 
Published: December 2023

Purpose. The purpose of the article is to study the establishment of the level and degree of regulatory support for the delimitation of powers between the Russian Federation and its subjects in the sphere of physical culture and sport, which is due to a number of prerequisites that characterize the relevance of the stated topic. Among them there are changes in the conditions for the development of physical culture and sport, as well as the restructuring of executive bodies in the regions in the context of the reform of public authority. The subject of the research is regulatory legal acts that establish and disclose the powers of authorities and other subjects in the context of the analyzed relations at the federal level and at the level of subjects of the Russian Federation, as well as the activities of authorized public authorities in this sphere.
Methodology. The research is based on general scientific methods (analysis, synthesis, deduction, induction, comparison, modeling) in combination with special legal and sociological methods (private legal methods – formal legal and comparative methods, method of state and legal modeling, method of interpretation of law; methods of sociological analysis – sociological observation and survey).
Results. The results of the research consist in the established prospects for the permissibility of revision and conditions for the distribution of powers of public authorities between the federal center and the regions in the analyzed sphere.
Practical implications. The results of the study can be applied in the field of public administration on the issues of organization of activities in the sphere of physical culture and sport.