bluuebunny/crossref_metadata_2025_split huggingface dataset:
Active versus Passive physiotherapy for chronic shoulder pain: a systematic review and meta-analysis
Authors: Wang Ruirui , Wang Jialin , zhao peng , Zhao Xiao , Zhou Xuanhui Guo 
Published: May 2023

Abstract
Objective To explore the effects of active physiotherapy (AP) and passive physiotherapy (PP) on pain intensity and function in patients with chronic shoulder pain.Design Systematic review and meta-analysis.Methods Two independent researchers searched PubMed, Cochrane library, Embase, Web of science, CINAHL and PEDro from the beginning to September 7, 2022. All included studies were evaluated for risk of bias by the Cochrane risk-of-bias tool and the certainty of results was rated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach.Eligibility criteria Randomized controlled trials (RCTs) involving patients with chronic shoulder pain were included. The treatment must be AP versus PP.Results Altogether 21 studies, including 1011 patients, were included. The primary result: Compared with passive manipulation, AP was superior in the pressure pain threshold (PPT) of shoulder (SMD-0.09, 95%CI: -0.42 to 0.24, P = 0.59), pain intensity (SMD-0.37, 95%CI: -0.71 to -0.03, P = 0.03) and function (SMD-0.22, 95%CI: -0.43 to -0.01, P = 0.04). AP had an advantage over physical factor therapy in terms of pain intensity (SMD-1.32, 95%CI: -2.34 to -0.29, P = 0.01) and function (SMD-0.64, 95%CI: -1.15 to -0.14, P = 0.01). The secondary result: AP was superior to PP at short-term and medium-term follow-up, with no difference at long-term follow-up.Conclusions Evidence with moderate to very low certainty suggests AP was superior to PP in pain and functional improvement in patients with chronic shoulder pain at short-term and medium-term follow-up, but this advantage was not observed in the long-term follow-up.
What is the impact of ITGβ8 on NSCLC: A systematic study
Authors: Jin Zhao , Jiao Zonglin , Song Lei , Wang Haitao , Zhang Yu , Zhao Yanbin , Zhang Minghui 
Published: May 2023

Abstract
Background: Integrin is a vital cell membrane surface receptor that conducts bidirectional signal transduction across the cell membrane and regulates cell adhesion and activation. Integrin β8 (ITGβ8) belongs to the β subunit family of integrin. It is a tumour promoter and its levels are upregulated in various cancers, including non-small-cell lung cancer (NSCLC). However, a comprehensive analysis of its prognostic value in NSCLC has not been performed. Here, bioinformatics analysis and basic experiments were used to investigated the expression of ITGβ8 in NSCLC and its potential association with immunotherapy.
Methods: In this study, we used bioinformatics technology to analyze not only the expression of ITGβ8 in NSCLC tissues in the database, but also the correlation between ITGβ8 expression and immune cell infiltration, immune checkpoint expression, TMB expression, signaling pathways and patient survival. The expression of ITGβ 8 in NSCLC cells was verified by WB and RT-qPCR. Kaplan-Meier survival curves were used to analyze the relationship between ITGβ8 expression levels and prognosis of NSCLC patients. Log-rank test and cox proportional-hazards model were used to identify risk factors associated with prognosis.
Results:The TCGA database and HPA database as well as our lung cancer tissue specimens showed high expression of ITGβ8 in NSCLC tumor tissues. ITGβ8 was highly expressed in lung cancer cell lines compared to normal lung epithelial cell lines. Bioinformatics technology analysis demonstrated that ITGβ8 expression correlated with immune subtypes, immune infiltrating cells, immune checkpoint genes, and signaling pathways. High expression of ITGβ8 in NSCLC has a shorter survival. Kaplan-Meier survival curve and cox regression analysis demonstrated that increased ITGβ8 expression was a marker of poor prognosis in NSCLC, and its expression level was positively correlated with lymph node metastasis and TNM stage.
Conclusions: ITGβ8 is highly expressed in NSCLC, and it is involved in regulating the immune process of NSCLC. It may be an important immune predictive biomarker that provides a new idea for the treatment of NSCLC.
WITHDRAWN: Unlocking the performance of ternary metal (hydro)oxide amorphous catalysts via data-driven active-site engineering
Authors: Karuturi Siva , Zhang Doudou , Li Haobo , Lu Haijao , Yin Zongyou , Fusco Zelio , Reuter Karsten , Catchpole Kylie 
Published: May 2023

Abstract
Ternary metal (hydro)oxide amorphous catalysts are attractive oxygen evolution reaction (OER) catalysts due to their high performance and cost-effectiveness, but a fundamental understanding of their structure-property relationships remains elusive. Herein, we fabricate a highly active ternary metal (hydro)oxide (NiFeCo) OER catalyst, showing an overpotential of 146 mV at 10 mAcm-2 and ~300 hours durability in 1M KOH. Inspired by this finding, a dataset with first-principles adsorption energies of reaction intermediates at over 300 active-site structures for both oxides and hydroxides is computed and used to train a machine-learning model for screening the dominating factors and unveiling their intrinsic contributions. The computational work confirms that adding Fe and Co makes the original Ni (hydro)oxide reach ultra-low overpotentials below 200 mV through the modulation from hydroxide towards oxide and the formation of active-sites of ternary metallic components. A series of physical properties of the Fe, Co and Ni atoms in the active-sites are further included in the analysis, and it is found that the magnetic moment (mag) plays an important role in the OER activity. This work demonstrates the application of machine-learning methods in atomic-scale active-site engineering to understand the activity mechanism of ternary metal (hydro)oxide amorphous catalysts for water oxidation, and it has the potential to be extended to wider applications.
Cellular senescence by loss of Men1 in osteoblasts is critical for age-related osteoporosis
Authors: Kaito Takashi , Ukon Yuichiro , Hirai Hiromasa , Kitahara Takayuki , Bun Masayuki , Kodama Joe , Tateiwa Daisuke , Nakagawa Shinichi , Ikuta Masato , Furuichi Takuya , Kanie Yuya , Fujimori Takahito , Takenaka Shota , Yamamuro Tadashi , Okada Seiji , Otsuru Satoru , Yamashita Masakatsu , Imamura Takeshi 
Published: May 2023

Abstract
Recent evidence suggests an association between age-related osteoporosis and cellular senescence in the bone; however, the specific bone cells that play a critical role in age-related osteoporosis and the mechanism remain unknown. Results revealed that age-related osteoporosis is characterized by the loss of osteoblast Men1. Osteoblast-specific inducible knockout of Men1 caused structural changes in the mice bones, matching the phenotypes in patients with age-related osteoporosis. Histomorphometrically, Men1-knockout mice femurs decreased osteoblastic activity and increased osteoclastic activity, hallmarks of age-related osteoporosis. Loss of Men1 induces cellular senescence via activation of mTORC1 pathway, rescued by metformin treatment. In bone morphogenetic protein-indued bone model, loss of Men1 leads to accumulation of senescent cells and osteoporotic bone formation, which are ameliorated by metformin. Our results indicate that cellular senescence in osteoblasts plays a critical role in age-related osteoporosis and that osteoblast-specific inducible Men1-knockout mice offer a promising model for developing therapeutics for age-related osteoporosis.
Longitudinal modeling of human neuronal aging identifies RCAN1-TFEB pathway contributing to neurodegeneration of Huntington’s disease
Authors: Yoo Andrew , Lee Seong Won , Oh Young Mi , Victor Matheus , Strunilin Ilya , Chen Shawei , Dahiya Sonika , Dolle Roland , Pak Stephen , Silverman Gary , Perlmutter David 
Published: May 2023

Abstract
Aging is a common risk factor in neurodegenerative disorders and the ability to investigate aging of neurons in an isogenic background would facilitate discovering the interplay between neuronal aging and onset of neurodegeneration. Here, we perform direct neuronal reprogramming of longitudinally collected human fibroblasts to reveal genetic pathways altered at different ages. Comparative transcriptome analysis of longitudinally aged striatal medium spiny neurons (MSNs), a primary neuronal subtype affected in Huntington’s disease (HD), identified pathways associated with RCAN1, a negative regulator of calcineurin. Notably, RCAN1 undergoes age-dependent increase at the protein level detected in reprogrammed MSNs as well as in human postmortem striatum. In patient-derived MSNs of adult-onset HD (HD-MSNs), counteracting RCAN1 by gene knockdown (KD) rescued HD-MSNs from degeneration. The protective effect of RCAN1 KD was associated with enhanced chromatin accessibility of genes involved in longevity and autophagy, mediated through enhanced calcineurin activity, which in turn dephosphorylates and promotes nuclear localization of TFEB transcription factor. Furthermore, we reveal that G2-115 compound, an analog of glibenclamide with autophagy-enhancing activities, reduces the RCAN1-Calcineurin interaction, phenocopying the effect of RCAN1 KD. Our results demonstrate that RCAN1 is a potential genetic or pharmacological target whose reduction-of-function increases neuronal resilience to neurodegeneration in HD through chromatin reconfiguration.
Comparative Analysis for Prediction of Box–Behnken Design Based Surface Roughness for MAFM Finished Aluminium-6063/Silicon Carbide/Boron Carbide (Al-6063/SiC/B4C) Composites Using Nature Inspired Optimization Techniques
Authors: Chawla Gagandeep , Mittal Vinod Kumar , Sharma Rishi Sarup 
Published: May 2023

Abstract
Advanced manufacturing materials like silicon carbide, silicon nitride, and boron carbide are challenging to finish using traditional polishing and grinding procedures with accuracy, super finish and few surface flaws like micro-cracks. In recent years, magnetic field assisted manufacturing technologies have emerged as efficient methods for cleaning, deburring and polishing parts that are made of metal and high-tech engineering materials. The present research work considers the MAFM setup for experimental readings by finishing the hybrid Al/SiC/B4C-MMCs. By making use of the magnetic field to envelope the work-piece in abrasive flow machining, it can result in improving or increasing the materials removal rate along with the surface finish. At times, it becomes necessary to predict the generated surface with a high degree of precision and accuracy. This aptly requires the use of regression models for obtaining such exactness. In the present work, the MAFM process is investigated by the use of hybrid ANN approach. Here ANN is employed to model the input–output relations between the various parameters. For this, purpose, a generalized framework is designed using six inputs and two outputs. The input parameters are extrusion pressure (Ep), mesh number (M), concentration of abrasives (C), work-piece material (Wp), number of cycles (N) and magnetic flux density (Mf). In contrast, the output parameters are material removal rate (MRR) and change in surface roughness (ΔRa). The optimizations implemented through the hybrid PSO-GA-SA-PS algorithms have been used to optimize the MAFM process. Material removal has been accomplished using loosely bonded magnetic abrasive medium composed of silicone carbide (SiC) and the experiments have been carried out on a MAFM experimental setup. The main experimentation is designed by Design Expert® (12.0 version) software and a total of 54 runs are planned and implemented based upon a design matrix suggested by the Box-Behnken design (BBD) of response surface methodology (RSM). Incidentally, the comparison shows that trained artificial neural network models have superior prediction abilities as compared to results obtained from BBD model. It is therefore concluded that the composition of the loosely bound SiC-based magnetic abrasive medium plays a significant role in how well Al/SiC/B4C finishes.
Lentiviral Engineered cells for production of miR34a loaded exosomes
Authors: Sarkami Sahar Abdi , Molavipordanjani Sajjad , Kenari Saeed Abedian , Akhtari Javad , Gill Pooria , Ghalehnoei Hossein , Khodashenas Shabanali 
Published: May 2023

Abstract
Background: RNA antisense emerging as novel candidates for therapeutic purposes. As an RNA, miR-34a involves in P53 function, and triggers cancer cells apoptosis. The clinical applications of miRNAs face some limitation which can be potentially resolved using exosome as a transporting vehicle.
Aims: The aim of this study is to create a cell factory to generate miR34a-enriched exosomes.
Methods: First exosome specific sequences were inserted into miR34a. The resulting miR34a gene were transduced HEK293T cells genome with a lentiviral system. In the structure of miR34a gene 6 nucleotides were substituted to increase its packaging rate into exosomes. To maintain the secondary structure, stability and expression of the miRNA gene, changes to the miR34a gene were made using PCR Extension.
Results: The results confirmed the created changes in the miR34a gene do not affect its secondary structure. The energy level of the manipulated miR34a gene was not changed in comparison with the original one.
Conclusion: Our results suggested that the induced mutation (replacing 6 nucleic acids at the 3' end of miR34a) increases loading of miR34a into the exosome by 3-fold.
Fish-bone like Cd(II)-1D coordination polymer: Structural elucidation and theoretical Study
Authors: Ghosh Soumyajyoti , Bhunia Suprava , Saha Koushik , Shit Manik , Mahapatra Pradip Kumar , Dutta Basudeb , Sinha Chittaranjan 
Published: May 2023

Abstract
{[Cd(5-NIPA)2(PBT)2]}n (1) [5-H2NIPA = 5-nitroisophthalic acid, PBT= 2-pyridin-4-ylbenzothiazole], 1D Coordination Polymer (1D-CP), has been synthesised and characterized by single crystal X-ray crystallography. The 1D polymeric structure of 1 is constructed by carboxylato bridging of NIPA2- where two -COO- binds in two different fashion – one is chelated while other bridges two neighbouring Cd(II) centres forming a six-membered dinunclear metallacycle. 1D chains self-assembled via H-bonding and π×××π interaction to construct a supramolecular aggregate. The Hirshfeld surface analysis also supports the persistence of different weak interactions in the compound. To get future prospects and electronic nature of compound 1 the DFT (Density Functional Theory) computation using crystallographic parameters has been performed. From the calculation it is observed that the energy difference between HOMO and LUMO is 0.29 eV. This may be an indication about the future applicability of 1 as a semiconducting material. The photo-physical properties are also investigated to understand the chemical nature of the polymeric network.
Knee osteoarthritis in Iranian women: A cross-sectional study from Yassoj, Iran
Authors: Dashtian Masoomeh , Tavafian Sedigheh Sadat , Shirazi Kambiz Karimzade , Yazdanpanah Parviz , Maghbouli Reza , Shojaei Sarallah 
Published: May 2023

Abstract
Background: One of the most prevalent musculoskeletal diseases (MSDs) is knee osteoarthritis (KO), which results in patients experiencing significant pain, decreased function and range of motion, lower income, decreased social contact, and ultimately diminished quality of life. This study sought to evaluate the risk factors for knee osteoarthritis in women between the ages of 40 and 55 because several studies have shown that KO is frequent among these females.
Methods: One hundred of the 198 individual who were randomly chosen for this descriptive-analytical study were eligible and included because they met the inclusion criteria. The amount of protective behavior was assessed using a 38-item self-design checklist. Knee function and pain intensity were assessed using the Western Ontario and McMaster Universities Arthritis Index (WOMAC) and the visual analog scale (VAS). In addition, a muscle strength assessment and a self-efficacy questionnaire were applied. Using SPSS version 24, analytical tests were run on the collected data.
Results: This study showed there is a significant relationship between knee osteoarthritis and various factors such as age, body mass index, educational status, other diseases (blood pressure and diabetes), muscle strength, daily housewives’ performance, knee-protective behaviors, and self-efficacy in the field of knee-protective behaviors (P < 0.05 in all instances).
Conclusion: Providing educational and training programs for women to prevent knee osteoarthritis is highly advised since, as this study's findings showed, the majority of risk factors linked to knee discomfort from osteoarthritis can be managed.
Unplanned Operative Delivery is Associated with Decreased Perception of Control over Labor
Authors: Whelan Anna R. , Recabo Olivia , Ayala Nina K. , Clark Melissa A. , Lewkowitz Adam K 
Published: May 2023

Abstract
Background Unplanned operative delivery is associated with postpartum depression (PPD), but the mechanism is unknown. We aimed to assess the sense of control over labor for those who had unplanned delivery (unplanned cesarean or operative vaginal delivery: uCD/OVD) versus spontaneous vaginal delivery (SVD).Methods Secondary analysis of a cross-sectional survey study of term patients admitted for delivery at a tertiary center. After delivery, patients completed the Labour Agentry Scale (LAS), a validated tool to assess perceived control over labor and birth. Demographics, obstetric and neonatal outcomes and LAS scores were compared between patients who underwent uCD/OVD versus SVD. Multivariable logistic regression to assess the relationship between uCD/OVD and LAS score controlling for confounders that differed in the bivariate analysis.Results Of the 149 patients, 50 (33.6%) underwent uCD/OVD. There were no differences in maternal age, race/ethnicity, insurance status or education level between those who had uCD/OVD versus SVD. Patients who had uCD/OVD had higher median body mass index (BMI) than those who had SVD (33.2 vs 30.1 kg/m2, p = 0.03). There were no differences in rate of medical or psychiatric morbidity between groups. Additionally, there were no differences in reason for admission, however those who had uCD/OVD had significantly longer times to delivery than those who underwent SVD (22 vs 14 hrs, p < 0.01). Gestational age at delivery was also significantly higher for those who underwent uCD/OVD compared to SVD (40.2 vs 39.6 wks, p = 0.02). For the primary outcome, LAS scores were lower for those who underwent uCD/OVD compared to SVD (146 vs. 164, p < 0.01). This remained significant even after controlling for length of labor, BMI and gestational age at delivery (p < 0.01).Conclusions Even after accounting for length of labor, uCD/OVD is associated with a reduction in perceived control over labor, which may mediate the known increased risk of PPD. Further qualitative research is needed to examine how to better support patients’ wellbeing after uCD/OVD.
Studying the impact of marital status on diagnosis and survival prediction in pancreatic ductal carcinoma using machine learning methods
Authors: Chen Qingquan , Hu Yiming , Lin Wen , Huang Zhimin , Li Jiaxin , Lu Haibin , Dai Rongrong , You Liuxia 
Published: May 2023

Abstract
Background: Pancreatic cancer is a commonly occurring malignant tumor, with pancreatic ductal carcinoma (PDAC) accounting for approximately 95% of cases. According of its poor prognosis, identifying prognostic factors of pancreatic ductal carcinoma can provide physicians with a reliable theoretical foundation when predicting patient survival.
Objective: This study aimed to analyze the impact of marital status on survival outcomes of PDAC patients using propensity score matching and machine learning. The goal was to develop a prognosis prediction model specific to married patients with PDAC.
Methods: We extracted a total of 206,968 PDAC patient records from the SEER database. To ensure the baseline characteristics of married and unmarried individuals were balanced, we used a 1:1 propensity matching score. We then conducted Kaplan-Meier analysis and Cox proportional-hazards regression to examine the impact of marital status on PDAC survival before and after matching. Additionally, we developed machine learning models to predict 5-year CSS and OS for married patients with PDAC specifically.
Results: In total, 24,044 PDAC patients were included in this study. After 1:1 propensity matching, 8,043 married patients and 8,043 unmarried patients were successfully enrolled. Multivariate analysis and the Kaplan-Meier curves demonstrated that unmarried individuals had a poorer survival rate than their married counterparts. Among the algorithms tested, the random forest performed the best, with 0.734 5-year CSS and 0.795 5-year OS AUC.
Conclusions: This study found a significant association between marital status and survival in PDAC patients. Married patients had the best prognosis, while widowed patients had the worst. The random forest is a reliable model for predicting survival in married patients with PDAC.
Symptom patterns of long COVID and chronic illness: a cross-sectional analysis of the SulCovid-19 Study
Authors: Gonzalez Tatiane Nogueira , Steffens Tainara , Perim Laura Fontoura , Ritta Mauren , Junior Djalma Carmo Silva , Machado Karla Pereira , Neves Rosália Garcia , Duro Suele Manjourany Silva , Saes Mirelle Oliveira 
Published: May 2023

Abstract
Little is known about the natural history and consequences of SARS-CoV-2 infection. Some individuals who have had COVID continue to have symptoms after acute infection, a condition known as long COVID. Thus, the objective of this study is to identify the patterns of long COVID and its relationship with chronic diseases in adults and older adult residents in southern Brazil. Population-based cross-sectional study with data from the baseline of the SulCovid-19 Study. The sample consisted of 2,919 individuals with a positive diagnosis of COVID-19 between December 2020 and March 2021. For the construction of the outcome, 18 symptoms were evaluated. The exhibits were the medical diagnoses of 11 chronic diseases. Symptom patterns were identified using principal component analysis, and associations of patterns with chronic diseases were determined using Poisson regression. Four patterns of long COVID were identified. The cognitive pattern was the most prevalent (20.5%; 95% CI 19.0;22.0), followed by respiratory (15.7%; 95% CI 14.4;17.1), neuromusculoskeletal (15.4%; 95% CI 14.1;16.7) and neurosensory (14.0%; 95% CI 12.8;15.3). Heart problems, anxiety and back problems were associated with all patterns. Persistent symptoms after COVID-19 infection may constitute pattern behavior. Chronic illnesses increase the likelihood of developing long COVID symptom patterns.