bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of Cognitive Behavioral Therapy on Adult Cancer Patients’ Resilience: A Systematic Review and Meta-Analysis
Authors: xiang lina , wan hongwei , zhu yu , zheng mimi , li xiaoru , wang shuman 
Published: April 2023

Abstract
PURPOSE Resilience is ability, outcomes, or processes to an individual's ability to adapt well in the face of significant adversity, which can improve the people’s coping strategies, decrease the level of psychological distress; however, the effect of psychological therapies for resilience remains unknow. Therefore, we systematically evaluate the effect of psychological therapies on the resilience in cancer patients.
METHODS We conducted keyword-based searches in PubMed, Cochrane, PsycINFO, CINAHL, and Embase databases. Two researchers independently conducted a strict evaluation for the overall quality of evidence by using the GRADE system and independently performed a data extraction, take meta-analysis by calculating the effect size of the experimental group, exploring the effects of psychological therapies on increasing resilience (PROSPERO registration no.:CRD42021256841).
RESULTS There were 12 RCTs (all studies were included in meta-analysis) which be reprsented by Cohen’g were found both at the phase of post-intervention ( Z=4.98; 95% CI, 0.767 to 1.762; p<0.001) and at follow up (Z= 3.71; 95% CI, 0.9 to 1.819; P<0.001). The effect of face-to-face CBTs (Z=14.07) were larger than those of online CBTs (Z=10.72, β=0.85;P=0.02). A GRADE evaluation revealed evidence of sufficient strength for the effect of CBTs on psychological resilience.
CONCLUSIONS Psychological therapies can significantly improve the resilience in cancer patients, which maintained at follow up. The most widely used skills in CBTs is rumination, attentional bias and cognitive modification, which committed to changing the way of thinking in which the patients relates to his or her past inner experiences. Future researches could investigate how to further optimize psychological therapies to enhancing cancer patients’ resilience.
Traveling Salesman Problem solution using Magnonic Combinatorial Device
Authors: Balinskiy Mykhaylo , Khitun Aleksandr 
Published: April 2023

Abstract
Traveling Salesman Problem (TSP) is a decision-making problem that is essential for a number of practical applications. Today, this problem is solved on digital computers exploiting Boolean-type architecture by checking one by one a number of possible routes. In this work, we describe a special type of hardware for the TSP solution. It is a magnonic combinatorial device comprising magnetic and electric parts connected in the active ring circuit. There is a number of possible propagation routes in the magnetic mesh made of phase shifters, frequency filters, and attenuators. The phase shifters mimic cities in TSP while the distance between the cities is encoded in the signal attenuation. The set of frequency filters makes the waves on different frequencies propagate through the different routes. The principle of operation is based on the classical wave superposition. There is a number of waves coming in all possible routes in parallel accumulating different phase shifts and amplitude damping. However, only the wave(s) that accumulates the certain phase shift will be amplified by the electric part. The amplification comes first to the waves that possess the minimum propagation losses. It makes this type of device suitable for TSP solution, where waves are similar to the salesmen traveling in all possible routes at a time. We present the results of numerical modeling illustrating the TSP solutions for four and six cities. Also, we present experimental data for the TSP solution with four cities. The prototype device is built of commercially available components including magnetic phase shifters/filters, coaxial cables, splitters, attenuators, and a broadband amplifier. The device literally shows the shortest route between the four selected cities. There are three examples of finding the shortest route between the cities for three different sets of city-to-city distances. The ability to exploit classical wave superposition is the most appealing property of the demonstrated device. It allows us to check a number of possible routes in parallel without any time overhead. It provides a fundamental advantage over conventional digital computers in functional throughput. The proposed approach is scalable to TSP with a larger number of cities. The estimated functional throughput of the combinatorial device for TSP with 25 cities exceeds 1035 Ops/s∙m2 which is above the limits of the existing supercomputers combined. Physical limits and challenges are also discussed.
Gestational Sac Discriminatory Levels of Serum HCG in Early Pregnancy Resulting in Live Birth
Authors: Park Kristen E , Latack Kyle R , Vestal Nicole L , Ingles Sue A , Paulson Richard J , Awadalla Michael S 
Published: April 2023

Abstract
Our primary objective is to verify or refute a 2013 study by Connolly et al. which showed that in early pregnancy a gestational sac was visualized 99% of the time on transvaginal ultrasound when the HCG level reached 3,510 mIU/mL. Our secondary objective was to make clinical correlations by assessing the relationship between human chorionic gonadotropin (HCG) level in early pregnancy when a gestational sac is not seen with pregnancy outcomes of live birth, spontaneous abortion, and ectopic pregnancy. This retrospective study includes 144 pregnancies with an outcome of live birth, 87 pregnancies with an outcome of spontaneous abortion, and 59 ectopic pregnancies. Logistic regression is used to determine the probability of visualizing a gestational sac and/or yolk sac based on HCG level. A gestational sac is predicted to be visualized 50% of the time at an HCG level of 979 mIU/mL, 90% at 2,421 mIU/mL, and 99% of the time at 3,994 mIU/mL. A yolk sac was predicted to be visualized 50% of the time at an HCG level of 4,626 mIU/mL, 90% at 12,892 mIU/mL, and 99% at 39,454 mIU/mL. 90% of ectopic pregnancies presented with an HCG level below 3,994 mIU/mL. These results are in agreement with the study by Connolly et al. Since most early ectopic pregnancies had an HCG value below the discriminatory level for gestational sac visualization, other methods for evaluation of pregnancy of unknown location such as repeat HCG values are clinically important.
Robust Speech Recognition in Sports Competition Review based on Natural Language Processing
Authors: Wang Penglong , Feng Yuhong , Xi Yongping , Yang Shengdong 
Published: April 2023

Abstract
Mass communication media is developing at a fast speed, and they have obtained richer methods through different ways of combining, which has attracted people's attention even more. There are many steps in sports competition review, and this article is to study these necessary steps. Sports commentary seems easy, but it is not simple. It includes many links, the content of the explanation should be substantial, and there are many requirements for the language, and at the same time, the emotions of the explanation must be grasped. Every link has a requirement. After summarizing experience, this chapter will rationally use the theory of natural language processing and another theory of robust speech recognition, so as to master each basic link, explain it, and understand the basic laws necessary for review . This article comprehensively describes the robust speech recognition technology, classifies and summarizes several aspects, and conducts more detailed research and discussion on improving its performance. Robust speech recognition systems will always have some problems about mismatch, which requires continuous innovation of some new acoustic models, so that they can be more adapted to the environment. In order to make better use of robust speech recognition performance, in this article, it has innovated the characteristics of its speech, and optimized the parameters and the front-end and back-end cooperation. In this way, it can be better with The combined use of natural language allows commentators to innovate better and increase the popularity of sports competition reviews.
Moving Image Recognition in Virtual Physical Education System based on adaptive algorithm
Authors: Feng Yuhong , Wang Penglong , Yang Shengdong , Xi Yongping 
Published: April 2023

Abstract
The use of virtual sports platform is a correct understanding of sports for students, which is also very useful and can stimulate students' initiative to master sports knowledge. In school physical education, the use of online education platforms can lead to the original physical exercise restrictions, eliminate the difficulty of lack of sports facilities and sports resources, and can better enhance students’ enthusiasm for sports. The action recognition system is a highly accurate system that can determine the training content according to the user's own training characteristics, and assist athletes or students to perform various actions in a more standard manner. Voice transmission technology is widely used in teaching, and it is widely used in the development of intelligent mobile. For motion detection, the main process starts from detection. The equipment reads the basic information of the experimenter, and then prepares for the test. This article mainly focuses on the language collection center in education and teaching. First, it introduces the theoretical analysis of language coding and on this basis introduces the solution of voice sensor node. This solution can not only complete the two-way processing of voice data and Transmission, and a single voice node can be used in the physical education system.
Identification and immunological characterization of cuproptosis-related molecular clusters in retinoblastoma
Authors: Shu qinxin , Ran Shengming , Gao Xu 
Published: April 2023

Abstract
Background: To proposed a novel strategy for retinoblastoma (RB) treatment and study by positing a connection between cuproptosis and immunological changes and the development and incidence of RB.
Methods: Using "Retinoblastoma" as the search phrase, two microarray datasets of Retinoblastoma (GSE208143 and GSE97508) were obtained from the GEO database. 42 samples of retinal tissue were collected, comprising 33 samples from Retinoblastoma patients and 9 samples from healthy individuals in the GEO database.
Results: We carefully examined the immunological characteristics and differential expression of CRGs in normal and retinoblastoma people for the first time in this study and developed a unique machine learning model based on the selected genes that has the ability to forecast patients with accuracy.
Conclusion: Our bioinformatic analysis uncovered the relationship between CRGs and immune cells that have been infiltrated, revealed the significant immune heterogeneity among RB patients with distinct cuproptosis clusters, and created a signature machine learning model based on the chosen genes that could accurately predict the patients.
Image Cutting in Video Media Technology Application based on Detection Algorithm
Authors: Jiahui Xiong 
Published: April 2023

Abstract
Speech activity detection algorithm belongs to a kind of means to judge the audio section and non audio section. Audio information diagnosis is composed of audio and noise section, and special treatment means are used for different signals. In the real model test, we can understand that RBF core has super stable attributes compared with other models, and has good self-renewal ability. In the audio information discrimination attribute diagnosis, we can understand the upgrading calculation process, and understand the large-scale counting audio information discrimination calculation process. The removal of pictograph is the primary obstacle to the solution scope of visual information. In the real use process, the classified noises are stored in the image removal with different attributes on a large scale, which plays a great role in the gradual diagnosis of image removal such as image upgrade and image classification. Therefore, in order to update the image level, eliminate the noise object and gradually diagnose the image, exploring the image removal method has become the first influential step in the first step of image diagnosis.. In the era of interconnection, we began to further explore the merging means model of interconnection, visualization and information interoperability, focusing on the governance of the merging and upgrading means model on the premise of interconnection, visualization and information interoperability, We can also apply multi-channel upgrading to upgrade our own hardware and software strength, observe and learn the quality level of the mode and class, so that the practical role of the means of mutual transmission of interconnected visual information can go on for a longer time.
Clinical, immunological, and genetic findings in Iranian patients with MHC-II deficiency: confirmation of c.121delG RFXANK founder mutation in the Iranian population
Authors: Khorshidi Mohadese-sadat Musavi , Seeleuthner Yoann , Chavoshzadeh Zahra , Behfar Maryam , Hamidieh Amir Ali , Alimadadi Hosein , Sherkat Roya , Momen Tooba , Behniafard Nasrin , Eskandarzadeh Shabnam , Mansouri Mahboubeh , Behnam Mahdiyeh , Mahdavi Mohadese , Zadeh Maryam Heydarazad , Shokri Mehdi , Alizadeh Fatemeh , Movahedi Mahshid , Momenilandi Mana , Olyaei Nasrin Alipour , Keramatipour Mohammad , Casanova Jean-Laurent , Cobat Aurélie , Abel Laurent , Shahrooei Mohammad , Parvaneh Nima 
Published: April 2023

Abstract
Purpose: Major histocompatibility complex class II (MHC-II) deficiency is a rare inborn error of immunity (IEI). Impaired antigen presentation to CD4+ T-cells results in combined immunodeficiency. Patients typically present with severe respiratory and gastrointestinal tract infections at early ages. Hematopoietic stem cell transplantation (HSCT) is the only curative therapy.
Methods: We describe the clinical, immunologic, and genetic features of eighteen unrelated Iranian patients with MHC-II deficiency.
Results: Consanguinity was present in all affected families. The median age at the initial presentation was 5.5 months (range seven days to 18 years). The main symptoms included failure to thrive, persistent diarrhea, and pneumonia. Autoimmune and neurologic features were documented in 30% of the patients, respectively.
Thirteen patients carried RFXANK gene mutations, two carried RFX5 gene mutations, and three carried a RFXAP gene mutation. Six patients shared the same RFXANK founder mutation (c.162delG); limited to the Iranian population and dated to approximately 1,296 years ago. Four of the patients underwent HSCT; three of them are alive. On the other hand, nine of the fourteen patients who did not undergo HSCT had a poor prognosis and died.
Conclusion: MHC-II deﬁciency is not rare in Iran, with a high rate of consanguinity. It should be considered in the differential diagnosis of combined immunodeficiency (CID) at any age. With the limited access to HSCT and its variable results in MHC-II deficiency, implementing genetic counseling and family planning for the affected families are mandatory. We better determined the c.162delG RFXANKheterozygous mutation frequency in the Iranian population.
The Effectiveness of Blended Versus Regular Forensic Outpatient Systemic Therapy in the Treatment of Juvenile Antisocial Behavior: A Study Protocol of a Randomized Controlled Trial
Authors: Cappellen S. Marjolein van , Creemers Hanneke E. , Hoogsteder Larissa , Horn Joan van , Dekovic Maja , Asscher Jessica J. 
Published: April 2023

Abstract

Background: Antisocial behavior during adolescence can have long-lasting negative effects and leads to high societal costs. Forensic Outpatient Systemic Therapy (Forensische Ambulante Systeem Therapie; FAST) is a promising treatment for juveniles aged 12-21 showing severe antisocial behavior. The intensity, content and duration of FAST can be adjusted to the needs of the juvenile and their caregiver(s), which is considered crucial for effective treatment. Next to the regular version of FAST (FASTr), a blended version (FASTb) in which face-to-face contacts are replaced by minimally 50% online contacts over the duration of intervention was developed during the Covid-19 pandemic. The current study will investigate whether FASTb is equally effective as FASTr, and through which mechanisms of change, for whom, and under which conditions FASTr and FASTb work.Methods:A randomized controlled trial (RCT) will be carried out. Participants (N= 200) will be randomly assigned to FASTb (n= 100) or FASTr (n= 100). Data collection will consist of self-report questionnaires and case file analysis, and include a pre-test at the start of the intervention, a post-test immediately after the intervention, and a six month follow-up. Mechanisms of change will be investigated using monthly questionnaires of key variables during treatment. Official recidivism data will be collected at two-year follow-up.Discussion:This study aims to improve the effectiveness and quality of forensic mental health care for juveniles with antisocial behavior by studying the effectiveness of blended care, which has not been studied before in treatment of externalizing behavior. If found to be at least as effective as face-to-face treatment, blended treatment can help meet the urgent need for more flexible and efficient interventions in this field. In addition, the proposed study aims to unravel what works for whom, knowledge urgently needed in mental health care for juveniles with severe antisocial behavior.Trial registration:This trial was registered at ClinicalTrials.gov on 22-07-2022, registration number NCT05606978.
The predictive value of estimated pulse wave velocity combined with BMI for newly diagnosed diabetes
Authors: Chen Chengwen , Bao Wei , Chen Chunwei , Wang Wanhong , Liu Xin , Lu Ling , Fu Shuo , Wang Cheng 
Published: April 2023

Abstract
Purpose ePWV and BMI are closely related to the prediction of new-onset diabetes. The aim of this study was to evaluate the impact and predictive value of the combination of estimate pulse wave velocity (ePWV) and body mass index (BMI) on new-onset diabetic patients.Methods A secondary analysis of a cohort study conducted by rich health care was performed with a total of 211833 eligible subjects enrolled. Logistic regression analysis was used to identify factors influencing the occurrence of diabetes, and ROC curve analysis was used to evaluate the predictive value of ePWV, BMI, and their combination on new-onset diabetes.Results During a mean follow-up period of 3.12 years, 3000 men (1.41%) and 1174 women (0.55%) were diagnosed with diabetes. Logistic regression analysis showed that BMI, triglycerides, alanine aminotransferase, blood urea nitrogen, creatinine clearance rate, ePWV, and history of diabetes in the family were high-risk factors for new-onset diabetes. Compared with using ePWV or BMI alone, the combined ePWV and BMI had a higher area under the receiver operating characteristic curve of 0.822.Conclusion The elevation of ePWV and BMI levels is an independent risk factor for new-onset diabetes, and the combination of ePWV and BMI can better predict new-onset diabetes compared to using either indicator alone.
Development of Nomogram for Predicting Major Complications in Patients with Esophageal Cancer in the Early Postoperative Period
Authors: Mijiti Maimaiti , Li Dan , Yuan Tingting , Zhao Dan , Shen Guimei , Yan Rui 
Published: April 2023

Abstract
Purpose To investigate the predictive value of the Prognostic Nutrition Index (PNI) in major complications after esophagectomy for esophageal cancer and to develop a Nomogram risk prediction model.Method The clinical data of 386 patients who underwent radical esophageal cancer surgery from December 2017 to December 2021 were retrospectively analyzed. Logistic regression analysis was performed to screen independent risk factors associated with major postoperative complications. A nomogram risk prediction model for major postoperative complications was developed based on the predictors, and the clinical utility of the model was assessed by decision curve analysis(DCA).Result In this study logistic univariate regression analysis found that age, preoperative radiotherapy, American Society of Anesthesiologists physical status (ASA score), length of surgery, and PNI may be associated with the development of major postoperative complications. logistic multifactorial analysis showed that the above risk factors were independent risk factors for the development of major postoperative complications in esophageal cancer. Nomogram was developed by incorporating the above risk factors with ASA classification. The calibration curves showed that the model had a good agreement. The decision curves showed that the model has good clinical application.Conclusion Individualized nomograms based on PNI combined with clinical indicators can be used to predict major complications in the early postoperative period and help to enhance perioperative management.
A Wavelet Selection Scheme and Its Application in Underwater Discharge Signal Analysis
Authors: Zhang Xiaobin , Lu Binjie , Qiao Liang 
Published: April 2023

Abstract
The time-frequency characteristics of underwater discharge explosion signals are of great significance for its application. Wavelet-based de-noising and time-frequency analysis technology is an effective means to study underwater explosion signals. The selection of wavelets is the key to the accuracy of wavelet analysis. Evaluation indexes are chosen and fused by the coefficient of variation. And a scheme of wavelet selection is provided based on the typical reference waveform and comprehensive evaluation index. The selected optimal wavelet is used to process the underwater discharge explosion signals produced by different materials. The results show that the scheme is feasible and practical.
­­Assessment of Joint and Interactive Effects of Multimorbidity and Chronic Pain on ADRD Risk in the Elder Population
Authors: Khalid Sumaira , Innes Karen , Umer Amna , Lilly Christa , Gross Diane , Sambamoorthi Usha 
Published: April 2023

Abstract

Objective Multimorbidity and non-cancer chronic pain conditions (NCPC) are independently linked to elevated risk for cognitive impairment and incident Alzheimer’s Disease and Related Dementias (ADRD)-both - We present the study of potential joint and interactive effects of these conditions on the risk of incident ADRD in older population.Methods This retrospective-cohort study drew baseline and 2-year follow-up data from linked Medicare claims and Medicare Current Beneficiary Survey (MCBS). Baseline multimorbidity and NCPC were ascertained using claims data. ADRD was ascertained at baseline and follow-up.Results NCPC accompanied by multimorbidity (vs. absence of NCPC or multimorbidity) had a significant and upward association with incident ADRD (adjusted odds ratio (AOR): 1.72, 95% CI 1.38, 2.13, p < 0.0001). Secondary analysis by number of comorbid conditions suggested that the joint effects of NCPC and multimorbidity on ADRD risk may increase with rising number contributing chronic conditions. Interaction analyses indicated significantly elevated excess risk for incident ADRD.