bluuebunny/crossref_metadata_2025_split huggingface dataset:
Primary intracranial histiocytic sarcomas: a report of six cases and a pooled analysis of individual patient data
Authors: Zuo Pengcheng , Zhang Mingxin , Wu Wenhao , Wang Yu , Li Tian , Sun Tao , Wang YuJin , Wu Zhen , Zhang Junting , Zhang Liwei 
Published: May 2023

Abstract
Objective:
Primary intracranial histiocytic sarcomas (PIHSs) are extremely rare with limited reported cases, making their prognostic factors and management uncertain. This study aims to describe the clinical characteristics of PIHSs and propose a treatment protocol for this entity.
Methods:
Clinical data were collected from six patients diagnosed with PIHSs at Beijing Tiantan Hospital between March 2011 and October 2022. Additionally, a comprehensive search of the PubMed database was conducted using the keywords "primary intracranial" or "primary central nervous system" combined with "histiocytic sarcoma" or "histiocytic sarcomas" between 1996 and 2022, identifying 24 cases. A pooled analysis of individual patient data was performed to assess risk factors for overall survival (OS).
Results:
The six cases included four males and two females, with a mean age of 42.2 ± 13.3 years. In total, 24 cases of PIHSs were identified from previous studies. Multivariate Cox regression analysis revealed that gross total resection (GTR) was the only factor predicting a longer OS (p = 0.027). Kaplan-Meier analysis demonstrated that GTR (p = 0.0013), solitary lesions (p = 0.0048), and radiotherapy (p = 0.0492) were associated with a longer OS.
Conclusion:
PIHSs are rare brain tumors with poor clinical prognosis. Patients with solitary lesions have a longer OS than those with multifocal lesions. Gross total resection must be the first choice. Radiotherapy may bring benefits for these patients, but chemotherapy may not be useful. Further studies involving larger cohorts are necessary to validate these findings.
Metabolomic profiling of human bladder tissue extracts
Authors: Ossoliński Krzysztof , Ruman Tomasz , Copié Valérie , Tripet Brian P. , Kołodziej Artur , Płaza-Altamer Aneta , Ossolińska Anna , Ossoliński Tadeusz , Nieczaj Anna , Nizioł Joanna 
Published: May 2023

Abstract

Introduction Bladder cancer is a common malignancy affecting the urinary tract and effective biomarkers and for which monitoring therapeutic interventions have yet to be identified.Objectives Major aim of this work was to perform metabolomic profiling of human bladder cancer and normal tissue and to evaluate cancer biomarkersMethods This study utilized nuclear magnetic resonance (NMR) and high-resolution nanoparticle-based laser desorption/ionization mass spectrometry (LDI-MS) methods to investigate polar metabolite profiles in tissue samples from 99 bladder cancer patients.Results Through NMR spectroscopy, six tissue metabolites were identified and quantified as potential indicators of bladder cancer, while LDI-MS allowed detection of 34 compounds which distinguished cancer tissue samples from normal tissue. Thirteen characteristic tissue metabolites were also found to differentiate bladder cancer tumor grades and thirteen metabolites were correlated with tumor stages. Receiver-Operating Characteristics analysis showed high predictive power for all three types of metabolomics data, with area under the curve (AUC) values greater than 0.853.Conclusion To date, this is the first study in which human normal tissues adjacent to cancerous tissues are analyzed. These findings suggest that the metabolite markers identified in this study may be useful for the detection and monitoring of bladder cancer stages and grades.
Effect of collapse-type lateral pressure induced by irrigation
Authors: Guoqiang YU , xia zhang , lifeng Zhu 
Published: May 2023

Abstract

Loess collapse-type lateral pressure may have a landslide-promoting effect in loess slope areas. However, research on the magnitude and characteristics of collapse-type lateral pressure and its impact on slope stability remains blank. A study on the variability of loess collapse-type lateral pressure in the Heifangtai area and its sliding mechanism has been analyzed. Collapse tests and numerical simulations by FLAC3D of loess were conducted according to local safety field theory. The results indicate that Heifangtai loess is self-weighted collapsible loess; soil of the irrigated area at depths of 0-15 m are slightly collapsible; soil at depths of 20-25 m are moderately collapsible loess, and the loess in the unirrigated area regardless of depth is highly collapsible. As the depth or moisture content increases, the lateral pressure gradually increases, correspondingly the deformation becomes greater. In saturated state, the maximum lateral pressure reaches 123 kPa when collapsible deformation occurs, the collapse-type lateral pressure coefficient increases of up to 1.4 times, and horizontal deformation is also correspondingly large. As the water content of the slope increases from 4% to 20%, the total slope displacement increases from 12 mm to 140 mm and covers a large part of the slope, the lateral pressure coefficient also gradually increases, and the range of increase gradually expands; the slope safety coefficient also decreases, the area of failure becomes gradually wider until the slope toe is penetrated; the shear fractures move gradually toward the slope toe, and shear failure occurs at the 1/3 of the slope toe in the collapse deformation process. Collapse action leads to tensile stresses in the upper part of the slope, making it prone to collapse-type crack formation, resulting in dominant channels of surface water infiltration and forming landslide scarps. What’s more, collapse action also enables the formation of compressive stresses in the lower part of the slope, resulting in outward extrusion of deep soil, increased sliding force, and landslide formation.
Demonstrating the learning and impact of embedding participant involvement in a pandemic research study: The experience of the SARS-CoV-2 Immunity &amp; Reinfection Evaluation (SIREN) study UK, 2020-2023
Authors: Howells Anna , Aquino Erika Neves , Bose Deepika , Kelly Martin Gerard , Molony-Oates Barbara , Syed Asmah Hassan , Tolley Kim , Neill Claire , Hopkins Susan , Hall Victoria , Islam Jasmin 
Published: May 2023

Abstract
Background
Participant involvement in research studies is not a new concept, yet barriers to implementation remain and application varies. This is particularly true for pandemic response research studies, where timeframes are condensed, pressure is high and the value and inclusion of participant involvement can be overlooked. The SIREN PIP provides a case study for participant involvement in pandemic research.
Methods
SIREN and the British Society for Immunology (BSI) recruited and ran two phases of the PIP, involving 15 members in total over a 16-month period. Activity figures including recruitment interest and PIP meeting attendance were recorded. Feedback from researchers running and presenting at the PIP has been used to evidence its impact on the study. Feedback from PIP members following meetings and through evaluation at the end of Phase 1 was also collected. Feedback from Phase 1 informed our approach to Phase 2.
Results
There was a fifteen-fold increase in applications for joining Phase 2 of the PIP compared to Phase 1. The average meeting attendance rate increased from 76% in Phase 1 to 85% in Phase 2. The SIREN PIP was found to positively impact the design, implementation and evaluation phases of the study and sub-studies. Feedback from PIP members themselves was positive, with members highlighting that they found the role rewarding and felt valued.
Learnings from the PIP have been condensed into five key themes for applying to future pandemic response research studies: the importance of dedicated resources to support participant involvement; recruiting the right panel; understanding motivations for participant involvement; providing flexible options for involvement and the challenge of prioritising participant involvement in a pandemic response study.
Conclusions
This paper has contributed to the evidence base demonstrating that participant involvement can be included in, and adds value to, a pandemic response research study. The SIREN PIP has demonstrated the valuable role participant involvement can play in providing an active feedback mechanism for research. Positive impacts on study researchers and PIP members themselves have been demonstrated. Future pandemic studies should invest in participant involvement, and this could be enabled through the introduction of a national PIP forum.
A new risk assessment model of venous thromboembolism by considering fuzzy population
Authors: Wang Xin , Yang Yu-Qing , Hong Xin-Yu , Liu Si-Hua , Li Jian-Chu , Chen Ting , Shi Ju-Hong 
Published: May 2023

Abstract

Background
Inpatients with high risk of venous thromboembolism (VTE) usually face serious threats to their health and economic conditions. Many studies using machine learning (ML) models to predict VTE risk neglected the influence of ‘fuzzy population’, and achieved inferior results. The ‘fuzzy population’ phenomenon is common in clinic and it means that normal individuals can share the same or very similar characteristics with the patients and they are hard for doctors to differentiate, due to the low incidence rate and complex pathogenesis of diseases. Considering the effect of ‘fuzzy population’, our study aims to develop a new VTE risk assessment model suitable for Chinese medical inpatients.
Methods
Inpatients in the medical department of Peking Union Medical College Hospital (PUMCH) from January 2014 to June 2016 were collected. A new ML VTE risk assessment model was built through population splitting. First patients were classified into different groups based on values of feature vectors consisted of multiple VTE risk factors, then trustless groups were filtered out, and finally ML models were built on training data in unit of groups. Sensitivity and specificity of our method was compared with five ML models (support vector machine (SVM), random forest (RF), gradient boosting decision tree (GBDT), logistic regression (LR), and XGBoost) and the Padua model which was widely used in clinic.
Results
The ‘fuzzy population’ phenomenon was verified on the VTE dataset. Compared with the Padua model, the proposed model showed higher sensitivity (89.95% v.s. 84.66%) and specificity (67.86% v.s. 61.27%) on training data, and higher specificity (64.94% v.s. 63.30%) and the same sensitivity (90.24% v.s. 90.24%) on test data. Our model was more robust than other five ML models and its standard deviations of sensitivities and specificities were smaller. Besides, five ML models couldn’t simultaneously surpass the Padua’s sensitivity and specificity.
Conclusions
The proposed model achieved both higher sensitivity and specificity than the Padua model. Its robustness was better than traditional ML models. This study built a population-split-based ML model of VTE for Chinese medical inpatients by modeling the ‘fuzzy population’ and it can be applied more broadly in risk assessment of other diseases.
Investigation of Personal Data Protection Mechanism Based on Blockchain Technology
Authors: Zhu Rongrong , Wang Maofeng , Zhang Xiaofang , Peng Xinyun 
Published: May 2023

Abstract
Blockchain technology is increasingly being used in personal data protection. Inspired by the importance of data security, this paper proposes a personal data protection mechanism based on blockchain, combined with distributed hash tables and cryptography, to enhance users' control over the data generated using web applications. This mechanism limits enterprises' data collection and uses by users without their permission, and users have complete control over the data they generate when using the web services provided by the enterprise. It is up to the user to decide whether to share their data with other organizations. This paper designs this mechanism's system model and describes the three aspects in detail: data storage mechanism, data encryption mechanism, and data trading mechanism. Among them, the data storage mechanism restrains enterprises from privately collecting users' data, the encryption mechanism ensures that the users control the generated user data, and the data trading mechanism enables users to decide to which organizations to trade their data. Then, use the Stackelberg game to simulate the revenue sharing between users and service providers in data trading, as comparison to the current scheme, this one provides 31%, 561%, and 19% more income for the service provider when there are 1000 users. Finally, it designs and implements an application platform to reflect the practical significance of this research..
“Renewable Energy Consumption and Economic Growth: Evidence from a Panel of Top 20 Countries”
Authors: Nosheen Misbah , Iqbal Javed , Ahmad Shehzad 
Published: May 2023

Abstract
Many nations have been working hard in recent years to adopt clean and non-conventional energy sources, unlike carbon-based power sources which have implications for economic development. To analyze the impact of renewable energy consumption on the sensitivity of economic growth amongst the top 20 renewable energy users, this study employs data from 20 countries. For the years 1990 to 2021, a sample of nations is chosen. Using Pesaran's universal diagnostic test, we address cross-sectional dependency in panels. The results show that traditional inputs of production, including renewable and renewable energy resources consumption, contribute favorably to economic growth in the studied nations over the long term. Long-term production elasticities regarding renewable energy are positive in many of the examined nations, according to results from single country time series. The study's findings show that renewable energy is a critical component of these countries' economic expansion and that these countries are on the track for long-term stable growth. The significant policy conclusion in this respect is that governments, international organizations, and energy planners should collaborate to adopt renewable arrangement policies across nations. Furthermore, policymakers in these nations need to adopt renewable energy legislation based on incentives to enhance resource efficiency.
Robust fingerprint recognition approach based on diagonal slice of polyspectra in the polar space
Authors: ALAOUI El Mehdi ISMAILI 
Published: May 2023

Abstract
Although fingerprint recognition is a mature technology and nowadays commercial state-of-the-art systems can be successfully used in a number of real applications, not all the problems have been solved and the research is still very active in the field. This paper presents a new approach for estimating the shift and rotation parameters between fingerprint images stored in the dadabase that operates in the third-order frequency-domain measure called the auto-bispectrum, which, allows us to estimate the shift and the rotation separately. The diagonal slices and their spectra of auto- and cross-bispectrum are proposed. The rotation parameters are estimated from the remaining polar sampled the third-order spectrum using cross-correlation, and then, after compensating for rotation, we may easily estimate the translational component, e.g., by using phase correlation.Experimental evidence of this performance is presented, and the mathematical reasons behind these characteristics are explained in depth. We compare our approach in a simulation to other frequency-domain fingerprint recognition algorithms. We find that our algorithm can better estimate shift and rotation parameters than the other methods.
Labor force participation of married women in urban India: A cross sectional analysis
Authors: Thakur Jyoti 
Published: May 2023

Abstract
Labor force participation of women in urban India remained stagnated at around 18% since 1980s. Against the conventional understanding, significant progress in female education, extraordinary reductions in fertility rates, and great economic growth has not led to improvement of labor force participation among women in India. This paper attempts to provide an insight into the complex nature of labor force participation of women in urban India. Using the unit level data of NSS quinquennial rounds and PLFS, this paper analyses the labor force participation of urban married women - firstly, the gender gaps in urban labor markets and changes over a period of time; secondly, trends and patterns of married women’s labor force participation from 2004-05 to 2018-19; and thirdly, a cross examination across age, level of education, occupation, work status. Lastly, the paper investigates the activity engagement of out of labor force women belonging to different education levels.
Ego-resiliency, life satisfaction and symptoms of anxiety and depression among students of pro- health faculties during COVID-19 pandemic.
Authors: Główczyński Patryk , Dębski Paweł , Dębska-Janus Małgorzata , Badura-Brzoza¹ Karina 
Published: May 2023

Abstract
Background: Ego-resiliency could play a protective role, especially in stressful situations. Such a situation is certainly the period of the COVID-19 pandemic. The beginning of the pandemic period have been a source of significant stress for many people. Students, especially of medical faculties, were one of the social groups that could be particularly affected by the reorganization of everyday functioning. Effective coping with stress during this period could have been important for minimizing its negative effects.
Aim: The aim of the study was to assess ego-resiliency as a factor enhancing life satisfaction and a protective factor against symptoms of anxiety and depression in a group of health students during COVID-19 pandemic.
Methods and Material: The study was conducted in the period from October 2020 to June 2021. The study group included 362 students of the medical faculty and 249 students of the Academy of Physical Education (APhE).
The Ego Resiliency Scale (ER89-R12), the Life Satisfaction Scale (SWLS) and the Anxiety and Depression Scale (HADS) were used in the study. Among the statistical methods, the Mann-Whitney U test and Spearman's rank correlation coefficient were used.
Results: In the study group, medical students obtained the average score of 34.96±5.19 points and 36.49±5.22 points for students of the APhE was obtained in the ER-89-R12, the difference was statistically significant (p=0.003). In the SWLS, the mean score was 23.65±5.9 points for medical students and 22.35±5.67 points for students of the APhE, the difference was also statistically significant (p=0.005). In the assessment of anxiety, medical students obtained an average of 8.43±4.34 points and students of the APhE 7.60±4.27 points, the difference was statistically significant (p=0.012). In the assessment of depression, medical students achieved 5.10±3.77 points and students of APhE obtained about 4.77±3.26 points, the difference was not statistically significant. There were significant, negative correlations in the scope of the results obtained in the ER-89-R12 with the results of anxiety and depression, and positive correlations with the results obtained in the SWLS scale for both groupS.
Conclusions: Life during the pandemic was assessed by students of pro-health faculties as moderately satisfactory. The severity of symptoms of anxiety and depression correlated negatively with life satisfaction. Ego-resiliency may be a factor enhancing life satisfaction and may be a protective factor against anxiety and depression symptoms.
Study of remediation efficiency and biomass production using cyanobacteria and microalgae in secondary treated tannery wastewater
Authors: Gupta Priya , Devi Roshni , Devi Anuradha , Verma Meenakshi , Bharagava Ram Naresh 
Published: May 2023

Abstract
Secondary treated tannery wastewater (STTWW) is high in COD with value ranges from 264 mg/L to 275 mg/L also, the total suspended solids value was 164. The total nitrogen calculated was 33.2 mg/L. Cyanobacteria and microalgae are efficient bioremediators as well as significant biomass producers with loads of bimolecular content such as carbohydrate, lipid, protein which can be used for the production of value added products(VAPs). Simple tubular photobioreactors were made for mass culturing both cyanobacteria and microalgae. Cyanobacteria had higher amount of protein (0.58 mg/L) at 100% STTWW at pH 7 and at light intensity of 1000 lumens, carbohydrate (1801.4 mg/L), chlorophyll (6.6303 mg/L) 100% STTWW at pH 7 and at light intensity of 1000 lumens. Lipid was higher at 40% STTWW when compared to microalgae the remediation efficiency of cyanobacteria was better than microalgae. Cyanobacteria reduced COD reduced upto 94 % Overall this study depicts that cyanobacteria is more efficient in bioremediation and biomass production.
Analgesic effect of oral paracetamol 1000 mg/ibuprofen 400 mg, paracetamol 1000 mg/codeine 60 mg, paracetamol 1000 mg/ibuprofen 400 mg/codeine 60 mg, or placebo on acute postoperative pain: a single-dose, randomized, and double-blind study
Authors: Lyngstad Gaute , Skjelbred Per , Swanson David Michael , Skoglund Lasse Ansgar 
Published: May 2023

AbstractPurpose Combining analgesics with different mechanisms of action may increase the analgesic efficacy. The multidimensional pharmacodynamic profiles of ibuprofen 400 mg/paracetamol 1000 mg, ibuprofen 400 mg/paracetamol 1000 mg/codeine 60 mg, and paracetamol 1000 mg/codeine 60 mg and placebo were compared. Methods A randomized, double-blind, placebo-controlled, parallel-group, single-centre, outpatient, and single-dose study used 200 patients of both sexes and homogenous ethnicity after third molar surgery (mean age 24 years, range 19–30 years). Primary outcome was sum pain intensity over 6 h (SPI). Secondary outcomes were time to analgesic onset, duration of analgesia, time to rescue drug intake, number of patients taking rescue drug, sum pain intensity difference (SPID), maximum pain intensity difference, time to maximum pain intensity difference, number needed to treat, prevent remedication and harm values, adverse effects, and patient-reported outcome measure (PROM). Results Analgesia following ibuprofen and paracetamol combination with or without codeine was comparable. Both were better than paracetamol combined with codeine. Secondary variables supported this finding. Post hoc analysis of SPI and SPID revealed a sex/drug interaction trend in the codeine-containing groups where females experienced less analgesia. PROM showed a significant sex/drug interaction in the paracetamol and codeine group, but not in the other codeine-containing group. Especially females reported known and mild side effects in the codeine containing groups. Conclusion Codeine added to ibuprofen/paracetamol does not seem to add analgesia in a sex-mixed study population. Sex may be a confounding factor when testing weak opioid analgesics such as codeine. PROM seems to be more sensitive than traditional outcome measures. ClinicalTrials.gov June 2009 NCT00921700