bluuebunny/crossref_metadata_2025_split huggingface dataset:
Beyond Words: Speech Synchronization and Conversation Dynamics Linked to Personality and Appraisals
Authors: Arellano-Véliz Nicol Alejandra , Castillo Ramón Daniel , Jeronimus Bertus F. , Kunnen Elske Saskia , Cox Ralf F.A. 
Published: March 2024

Abstract

We studied how personality differences and conversation topics predict interpersonal speech synchronization, leading/following dynamics, and nonverbal interactional dominance in dyadic conversations. 100 undergraduate students (50 same-gender dyads) had a 15-minute conversation following three topics (introduction/self-disclosure/argumentation) in our laboratory. Their speech synchronization and turn-taking (speech/silence) dynamics were assessed through nonlinear time-series analyses: Cross-Recurrence Quantification Analysis (CRQA), Diagonal Cross-Recurrence Profiles (DCRP), and Anisotropic-CRQA. From the time series, we extracted five variables to operationalize speech synchronization (global and at lag-zero), leading-following dynamics, and asymmetries in the interacting partners’ nonverbal interactional dominance. Interaction appraisals were also assessed. Associations between personality traits Extraversion/Agreeableness, speech synchronization, and nonverbal interactional dominance were tested using mixed-effects models. Speech synchronization and nonverbal interactional dominance differed across conversational topics and peaked during argumentative conversations. Extraversion was associated with increased speech synchronization, and nonverbal interactional dominance, especially during an argumentative conversation. Extraversion homogeneity was associated with more symmetry in turn-taking dynamics during a self-disclosure conversation. Speech synchronization was generally associated with positive post-conversational appraisals such as wanting to meet in the future or liking the conversation partner, especially in extroverted individuals, whereas introverts seemed to value less swift dynamics. High Agreeableness predicted less speech synchronization during argumentative conversations, and increased speech synchronization (at lag-zero) predicted reduced perceived naturality in agreeable individuals. This may suggest a trade-off between maintaining swift speech dynamics and the natural flow of conversation for individuals high in Agreeableness.
Exploration of Short-chain Fatty Acid-Associated Hub Genes and potential therapeutic targets in Primary Open-Angle Glaucoma
Authors: Huang Wenbin , Kuang Jifa , Li Ailing , Liang Yan , Chen Feilan , Fu Yu 
Published: March 2024

Abstract
Purpose
Glaucoma is a progressive optic neuropathy with degeneration of retinal ganglion cells and retinal nerve fiber layer. Studies have shown that short chain fatty acids produced by gut microbiota can regulate intraocular inflammation. The aim of this research was to screen biomarkers associated with short chain fatty acids in glaucoma.
Methods
Firstly, WGCNA was performed for obtaining the key module genes associated with the primary open-angle glaucoma (POAG). We performed differential expression analysis (POAG samples vs normal samples) to obtain differentially expressed genes (DEGs) in GSE27276 dataset. The short chain fatty acids related differentially expressed genes (SCFAR-DEGs) were obtained by overlapping DEGs, short chain fatty acids related genes (SCFARGs) and key module genes. Three machine learning algorithms were implemented to select short chain fatty acids related biomarkers. We performed immune infiltration and GSEA based on biomarkers.
Results
A sum of 2433 key module genes associated with POAG were identified. We identified 615 DEGs between two groups. Soon afterwards, 10 SCFAR-DEGs were obtained through overlapping DEGs, SCFARGs and key module genes. Moreover, 5 biomarkers associated with short chain fatty acids, including HBB, ZFP36, NFKBIA, TIMP2 and NAMPT, were screened via three machine learning algorithms. The immune infiltration and GSEA analysis suggested that these biomarkers were related to the function of antigen presentation and some differential immune cells.
Conclusion
Overall, we obtained five short chain fatty acids related biomarkers (THBB, ZFP36, NFKBIA, TIMP2 and NAMPT) associated with POAG, which laid a theoretical foundation for the treatment of glaucoma.
Serum Levels of Pentadecanoic Acids and Heptadecanoic Acids Negatively Correlate with Kidney Stone Prevalence: Evidence from NHANES 2011–2014
Authors: Chen Tanping , Li Shuai , Luo jing , Li Xinyan , Wang Wenhao , Lu Wenlong , He Yandong , Xu Xiaolin 
Published: March 2024

Abstract
Current understanding recognizes odd-chain fatty acids as advantageous for health; however, studies exploring the link between the concentration of odd-chain fatty acids in the blood and the occurrence of kidney stones are sparse. a cross-sectional analysis was initiated to delve into the relationship between the presence of odd-chain fatty acids (C15:0, C17:0, C23:0) in the serum and the prevalence of kidney stones among adult populations. This research encompassed 4,069 individuals extracted from the NHANES dataset for the period of 2011 to 2014, focusing on evaluating the connection between the levels of odd-chain fatty acids in adults aged over 20 and the frequency of kidney stones. To assess both linear and nonlinear relationships among the participants, techniques such as multivariable linear regression and spline fitting were utilized. Analysis efforts were extended to evaluate how various demographic segments influence the connection between serum odd-chain fatty acids and kidney stone formation. Results derived from complex linear regression analysis revealed a reverse correlation between the levels of C15:0 (measured in umol/L) in the serum and the incidence of kidney stones (Odds Ratio=0.98, 95% Confidence Interval: 0.97, 1.00), a pattern that was similarly observed for C17:0 (measured in umol/L) (Odds Ratio=0.98, 95% Confidence Interva:0.97, 1.00). Conversely, the study did not establish a meaningful link between C23:0 (measured in umol/L) serum concentrations and the frequency of kidney stones (Odds Ratio=0.99, 95% Confidence Interval: 0.97, 1.01). To encapsulate, an investigative review of adult participants from the NHANES database over the period of 2011 to 2014, focusing on serum levels of odd-chain fatty acids (C15:0, C17:0, C23:0), uncovered a negative correlation with the prevelance of kidney stones and pentadecanoic acids and heptadecanoic acids serum levels.
Impact of Molecular Biomarker Test Availability and Timing on Metastatic Non-Small-Cell Lung Cancer Treatment Selection and Clinical Outcomes in the U.S. Medicare Population
Authors: Markward Nathan , Bilder Scott , Petrilla Allison , Stevinson Kendall Lee , Sultan Ihtisham , Jones Barton , Waterhouse David , Stollenwerk Bjoern 
Published: March 2024

Abstract

Background: Advanced/metastatic non-small-cell lung cancer (mNSCLC) is associated with significant mortality. Molecular testing for selected oncogenes holds the promise of more effective targeted therapy versus systemic chemotherapies. This retrospective claims-based study examines timing of biopsy and molecular testing, treatment selection relative to biomarker status, and overall survival.
Methods: Medicare data for patients with newly diagnosed mNSCLC were linked with molecular testing results from the Prognos NSCLC Explorer Dataset, including alterations implicated in NSCLC. Intervals between diagnosis, tissue acquisition, availability of test results, and initiation of treatment were calculated. Patients with actionable biomarker test results were compared with respect to treatment selection and overall survival. Cox proportional hazards regression was used to assess the likelihood of mortality between treatments.
Results: A total of 11,407 patients qualified for analysis (Mean age±SD: 75.6±6.5 years; 50.7% female; 86.2% White). Biopsy was conducted between 2-12 days after clinical diagnosis, and biomarker results were typically available within three weeks. Initial treatment started soon after, and 63.4% of patients initiated first line of treatment (1LOT). Of 21.5% patients with actionable genomic testing results for ALK, BRAF, EGFR, KRAS, MET, NTRK, RET, or ROS1, use of targeted therapy (28%) was limited compared with immune checkpoint inhibitors (39%) and chemotherapies (33%). Of 78.5% without molecular alterations, lower use of both targeted therapy (24%) and immune checkpoint inhibitors (36%) and greater use of chemotherapy (40%) were observed. Patients with actionable mutations on targeted therapy were observed to have higher survival compared to other therapies. Hazard death ratios [Confidence Intervals] were significantly greater in patients receiving an immune checkpoint inhibitor (1.365[1.102-1.690]; p<0.05) and higher, although non-significantly, among chemotherapy (1.164[0.932-1.453]) recipients.
Conclusions: Biomarker mutation status was available for many mNSCLC patients. Relatively short intervals between diagnosis of metastatic disease, biopsy, receipt of test results, and start of therapy were observed. Targeted therapy was associated with a higher overall survival when compared to both immune checkpoint inhibitors and chemotherapy. These findings support the expanded use of molecular biomarker testing in patients with newly diagnosed mNSCLC. The availability of actionable biomarkers appears to guide selection of 1LOT toward targeted therapy with improved survival.
Predictive value of a single highest suspicious ultrasound feature in subcentimeter thyroid nodules: a retrospective observational cohort study
Authors: Huang Peiying , Han Lili , Shi Xiulin , Xiao Fangsen , Shen Qingbao , Li Xuejun , Zhang Fuxing 
Published: March 2024

Abstract

Purpose
Proper management of subcentimeter thyroid nodules remains challenging for both clinicians and patients. Conducting extensive sonographic research using a safe and inexpensive tool for identifying thyroid nodules is necessary. This study aimed to identify whether having a highest ultrasound (US) risk characteristic suggests that US-guided fine-needle aspiration (FNA) biopsy in subcentimeter nodules is more appropriate for the identification of malignancy than active surveillance (AS) or surgery.
Methods
The data of patients with highly suspicious subcentimeter thyroid nodules with US characteristics who underwent surgery were retrospectively examined.
Results
Among a total of 556 subcentimeter nodules, 223 (40.1%) were benign and 333 (59.9%) were malignant, with a mean maximal nodule size of 8.1 mm. The US features that were significantly associated with malignancy were age below 45 years, irregular margin, presence of microcalcification, and a taller-than-wide shape (P < 0.001). Multivariate analysis also identified a taller-than-wide shape (OR = 8.988, P = 0.0015) as an independent factor associated with malignancy in subcentimeter thyroid nodules. The diagnostic performance of the preoperative FNA was classified as a malignancy, with a sensitivity of 98.4%, specificity of 100%, positive predictive value of 100%, and negative predictive value of 76.9%.
Conclusions
This study is one of the few reports based on actual data of highest suspicious US features in thyroid subcentimeter nodules. A taller-than-wide shape is the US feature most significantly associated with malignancy. FNA is a simple, accurate, and reliable preoperative method for diagnosing malignant subcentimeter thyroid nodules with highly suspicious US characteristics. AS was less appropriate than FNA for subcentimeter nodules with a taller-than-wide shape, especially in patients ≤ 45 years.
Recurrent ovarian dysgerminoma: a case report of salvage treatment and a review of the literature
Authors: Zhang Kezhen , Yang Jie , Zhang Xinyue , Yang Jiaxin 
Published: March 2024

Abstract
Background.
Ovarian dysgerminoma is a common type of malignant ovarian germ cell tumor. In most cases, patients with ovarian dysgerminoma had a great prognosis even when in an advanced stage. Recurrence in ovarian dysgerminoma is rare, and salvage treatment strategies remain uncertain.
Case.
A 16-year-old girl underwent fertility-sparing surgery followed by platinum-based chemotherapy for stage IVB ovarian dysgerminoma. The patient experienced 5 recurrences and failure of salvage chemotherapy after the initial treatment. Ultimately, a second debulking surgery followed by chemotherapy resulted in long-term disease-free survival of over 45 months.
Conclusion.
Salvage surgery may improve the prognosis of patients in selected cases of recurrent ovarian dysgerminoma.
RETRACTED: Evaluation of the Effect of Balneotherapy (Spa Treatment) on Lower Urinary Tract Symptoms Associated with JJ Stents: A prospective placebo-controlled study
Authors: ERGİN İsmail Emre , Öztürk Abuzer , Sancı Adem , Asdemir Aydemir 
Published: March 2024

Abstract

The authors have requested that this preprint be removed from Research Square.
Learning novel SARS-CoV-2 lineages from wastewater sequencing data
Authors: Ellmen Isaac , Overton Alyssa K. , Knapp Jennifer J. , Nash Delaney , Ho Hannifer , Hungwe Yemurayi , Prasla Samran , Nissimov Jozef I. , Charles Trevor C. 
Published: March 2024

Abstract

Background: Wastewater surveillance of SARS-CoV-2 has emerged as a critical tool for tracking the spread of COVID-19.In addition to estimating the relative case numbers using quantitative PCR, SARS-CoV-2 genomic RNA can be extracted from wastewater and sequenced.There are many existing techniques for using the sequenced RNA to determine the relative abundance of known lineages in a sample.However, it is very challenging to predict novel lineages from wastewater data due to its mixed composition and unreliable genomic coverage. Results: In this work, we present a novel technique based on non-negative matrix factorization which is able to extract novel lineage definitions by analyzing data from across different samples.We test the method both on synthetic and real wastewater sequencing data.We show that the technique is able to determine major lineages such as Omicron and Delta as well as sub-lineages such as BA.5.2.1. Conclusions: We provide a method for determining emerging lineages in wastewater without the need for genomic data from clinical samples. This could be used for routine monitoring of SARS-CoV-2 as well as other emerging viral pathogens in wastewater. Additionally, it may be used to derive more sequences for viruses with fewer complete genomes.
Finite-element analysis of different fixation types after Enneking II+III pelvic tumor resection: A case study
Authors: Sun Yu , Xue Haowen , Wang Xiaonan , Zhang Jiaxin , Xu Zezhou , Guo Yunting , Xin Renlong , Yu Zhenglei , Han Qing , Zhao Xin , Wang Jincheng , Ren Luquan 
Published: March 2024

Abstract
The current primary treatment approach for malignant pelvic tumors involves hemipelvic prosthesis reconstruction following tumor resection. In cases of Enneking type II + III pelvic tumors, the prosthesis necessitates fixation to the remaining iliac bone. Prevailing methods for prosthesis fixation include the saddle prosthesis, ice cream prosthesis, modular hemipelvic prosthesis, and personalized prosthetics using three-dimensional printing. To prevent failure of hemipelvic arthroplasty protheses, a novel fixation method was designed and finite element analysis was conducted. In clinical cases, the third and fourth sacral screws broke, a phenomenon also observed in the results of finite element analysis. Based on the original surgical model, designs were created for auxiliary dorsal iliac, auxiliary iliac bottom, auxiliary sacral screw, and auxiliary pubic ramus fixation. A nonlinear quasi-static finite element analysis was then performed under the maximum load of the gait cycle, and the results indicated that assisted sacral dorsal fixation significantly reduces stress on the sacral screws and relative micromotion exceeding 28 µm. The fixation of the pubic ramus further increased the initial stability of the prosthesis and its interface osseointegration ability. Therefore, for hemipelvic prostheses, incorporating pubic ramus support and iliac back fixation is advisable, as it provides new options for the application of hemipelvic tumor prostheses.
Preparation of hyperbranched polysiloxane containing terminal amino group and research on their luminescence properties
Authors: Jia Yuan , Yang Juxiang , Ma Mingyang , Li Beibei , Liu Zhen 
Published: March 2024

Abstract

In order to obtain a polymer with good biocompatibility and aggregation induced luminescence, amino group was introduced into hyperbranched polysiloxane (HBPSi) structure by one-step transesterification, and two HBPSi containing terminal amino group (HBPSi-NH2) were prepared. It was worth noting that both of them exhibit good luminescence characteristics. To further study the relationship between their structure and luminescence intensities, the structure and molecular weight distribution of these two HBPSi-NH2 were studied by nuclear magnetic resonance spectroscopy (NMR), infrared spectroscopy (FTIR) and gel permeation chromatography (GPC), the luminescence properties of the prepared NH2-HBPSi were characterized by fluorescence spectroscopy (PL). The results showed that the luminescence intensity of HBPSi-NH2 was affected by the molecular weight and dispersion. HBPSi-NH2 with high molecular weight can emit strong fluorescence, and in the good solvent (tetrahydrofuran, THF), the HBPSi-NH2 exhibit strong dispersion and leads to the weakest luminescence performance, while in bad solvent, it can lead to the weak dispersion and the strongest luminescence performance.
First evidence that interactions of Heat Shock Protein 20 with reproduction-related proteins aid in fertility recovering from heat stress in Monochamus alternatus
Authors: Li Hui , Yang Hualei , Tan Yushan , Li Shouyin , Zhao Peiyuan , Ye Jianren , Hao Dejun 
Published: March 2024

Abstract
Insects, as ectotherms, are highly susceptible to temperature increases due to global climate change, with heat tolerance being crucial for their survival. Heat Shock Proteins (HSPs) play a vital role in this tolerance, preventing protein denaturation. However, the interaction between HSPs and their native substrate proteins remains underexplored. This study examined the effects of heat stress on Monochamus alternatus, a significant pest in forestry, focusing on its reproductive heat tolerance and recovery. Heat stress was found to reduce fecundity, fertility, mating, and oviposition behaviors, alongside impairing the development and viability of reproductive organs and sperm. Remarkably, all reproductive parameters of M. alternatus recovered within four weeks post-exposure. To investigate the recovery mechanisms, we identified ten reproduction-related proteins as candidate substrate protein of an HSP protein in M. alternatus using immunoprecipitation coupled with mass spectrometry analysis. Heat stress inhibited the transcription of these reproduction-related genes, thereby adversely affecting reproductive parameters. However, the induction of HSP20s transcription in response to heat stress appeared to facilitate the refolding of these critical reproduction-related proteins during the recovery phase, preventing lasting reproductive damage. Overall, this study suggested that while M. alternatus populations might be vulnerable to climate-induced temperature increases, their fertility had the capacity to recover, mediated by HSPs’ interaction with reproduction-related genes. These findings offered profound insights into insect heat tolerance and recovery, expanding our understanding of HSP20 proteins’ biological functions.
Fault prediction of complete electrical engineering equipment based on deep learning technology
Authors: Deng Xiaotao 
Published: March 2024

Abstract
In order to ensure the safe operation of equipment, extend its lifespan, and reduce maintenance costs, the author conducted research on fault prediction of electrical engineering complete equipment based on deep learning technology. Firstly, by analyzing the working principle and fault characteristics of the equipment, determine the data features suitable for fault prediction; Then, deep learning models such as Convolutional Neural Networks (CNN) and Long Short Term Memory Networks (LSTM) are used to analyze the operational data of the equipment and achieve fault prediction; Finally, through comparative experiments, the results showed that the CNN model achieved good performance in fault prediction tasks, with a recall rate of 0.86, an accuracy rate of 0.85, and an F1 value of 0.85. This indicates that the CNN model can effectively capture local features in device signals: (2) The LSTM model performs slightly better than the CNN model in fault prediction tasks, with a recall rate of 0.89, an accuracy rate of 0.88, and an F1 value of 0.88. This indicates that the LSTM model has advantages in capturing temporal features: (3) The CNN LSTM fusion model combines the advantages of CNN and LSTM models, with a recall rate of 0.93, accuracy rate of 0.92, and Fl value of 0.92, which is significantly better than the performance of using CNN or LSTM alone. This indicates that feature fusion can further improve the accuracy of fault prediction.
Intelligent Speech System Relying on Fourier Transform in English Learning
Authors: Xiao Liwen 
Published: March 2024

Abstract
The English intelligent pronunciation training system is a comprehensive system based on multiple functions such as speech recognition, comparison, pronunciation scoring, and correction. In this paper, the Fourier analysis of the speech signal is carried out to obtain the spectral characteristics of each frame. At the same time, this paper analyses the speech signal using multi-sensor fusion tracking and recognition technology. The method achieves the purpose of speech recognition by automatically matching the entropy value of the extracted English speech-related information. The practice has proved that the speech recognition system developed can accurately carry out qualitative pronunciation lip correction. The application of this method in English speech recognition has a good application prospect.
Thermomechanical and mechanical properties of biocidal materials based on polyhexamethylene guanidine hydrochloride and polyvinyl alcohol
Authors: Ryabova V. O. , Ayurova O. Zh. , Ochirov O. S. , Grigor’eva M. N. , Stelmakh S. A. 
Published: March 2024

During the development of polymer science, attention has been attracted to different research areas. The current focus on polymer mixtures is due to their practical significance. Studying the physical and mechanical properties of polymer mixtures has led to a revision of existing basic concepts, the emergence of new research directions and the solution of practical problems. From this point of view, polymer mixtures are similar to copolymerization in achieving specific properties by combining different chemical structures. The use of polymer mixtures allows materials with the desired properties to be obtained at a faster rate than the synthesis of high-molecular compounds. In recent years, numerous studies have been published on the interaction of various polymers, particularly water-soluble and naturally occurring polymers that are safe for humans and the environment. The development of such materials is of great interest due to their high adhesive strength. These materials can be used to obtain polymer films with new valuable properties. This work investigates the potential of improving the thermomechanical and mechanical properties of films for use in construction as polymer biocidal additives by modifying polyhexamethylene guanidine hydrochloride with polyvinyl alcohol. Films based on a polymer-polymer mixture of polyhexamethylene guanidine hydrochloride and polyvinyl alcohol were used as a research object.