bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of morphological patterns and immunohistochemical characteristics of well-differentiated and dedifferentiated liposarcomas
Authors: Pancsa Tamás , Akbarzadeh Mersad , Sejben Anita 
Published: December 2023

Abstract
Background
Liposarcomas (LPSs) represent a morphologically diverse group among mesenchymal malignancies. During the diagnostic process of soft tissue tumors, the possibility of well-differentiated (WDLPS) and dedifferentiated LPS (DDLPS) should always emerge. So far, the most robust immunohistochemical (IHC) marker for these neoplasms is MDM2, however, LPSs can show a large variety of positivity with other markers.
Methods
In our study, all cases of WDLPS and DDLPS from 2017 to 2022 at the University of Szeged were examined, and if necessary, additional IHC was performed, including MDM2, CDK4, p16, and STAT6.
Results
Our cohort included 7 cases of WDLPS, and 11 of DDLPS. All morphological patterns were registered and photographed. In more than half of the cases, the tumor was localized to the retroperitoneum (n = 10), and 8 patients presented with T4 stage disease. All cases were focally or diffusely positive with MDM2 IHC (n = 18), while CDK4 and p16 proved to be diffuse in almost every case (n = 17). Despite morphological diversity, all DDLPSs (n = 11) were positive for MDM2, CDK4, and p16, as well. STAT6 showed multifocal nuclear positivity in 3 DDLPS cases.
Conclusions
According to our results, MDM2, CDK4, and p16 IHC reactions, and MDM2 fluorescence in situ hybridization should be performed to establish the proper diagnosis of LPS. A small, but significant minority of our DDLPS cases showed multifocal positivity for STAT6, hence performing MDM2 IHC for small samples of solitary fibrous tumours is highly recommended to exclude the possibility of LPS. Our study is the first to include all well-known morphological patterns of LPS.
Analysis of Friction Stir Welding of Aa6061 and Aa6082 Aluminium Alloys
Authors: b B.Sandeep , K K.Kishore , D Govinda Rao 
Published: December 2023

Abstract
Friction stir welding is a relatively new welding process that has significant advantages compared to the fusion process such as joining conventionally non-fusion weld able alloys. Being a solid- state joining process it produces weld with reduced distortion and improved mechanical properties. The aluminium alloys are widely used in different industrial applications such as ship building, aerospace and automobile industries due to their light weight, good mechanical strength and high corrosion resistance.In this work straight cylindrical tool made of H13 steel was used for the friction stir welding ( FSW) of two dissimilar aluminum alloys AA6061 and AA6082 at two different feeds and speeds. The mechanical Properties of the welded joint are tested using Tensile test, Hardness test and microstructure test. The friction stir welding experiments were conducted at constant Axial force without changing tool shape or material.Optimum parameters for Ultimate Tensile strength, Vickers hardness number, & % elongation were calculated using TAGUCHI method. The percentage influence of three parameters speed, feed, and interaction on ultimate tensile strength, Vickers hardness number & % elongation were calculated using ANOVA technique.
Loading dose of ceftazidime need to be increased in critically ill patients: a retrospective study to evaluate recommended loading dose with pharmacokinetic modeling
Authors: Launay Manon , Ollier Edouard , Kably Benjamin , Louedec Félicien Le , Thiery Guillaume , Lanoiselée julien , RAGEY Sophie PERINEL 
Published: December 2023

Abstract
Background
In order to rapidly achieve target concentrations and bactericidal efficacy, the administration of a loading dose (LD) is recommended before starting ceftazidime continuous infusion. However, the adequacy of the 2g-LD usually administered should be investigated considering the special pharmacokinetic characteristics of critically ill patients.
Materials
PK dataset for model development and external validation included patients hospitalized in 6 intensive care units (ICU) in the Saint-Etienne region (France) and in Paris, with ceftazidime continuous infusion and at least one measurement of plasma concentration [IRBN992021/CHUSTE]. Data were analysed with MONOLIX and R softwares. A review of the literature was performed to search for PK models developed in ICU patients, to compare our results with existing models. A simulation of the LD needed to reach a target concentration of 60mg/L was performed with all models.
Results
Ceftazidime was well described by a one-compartment model with allometrically scaled lognormalized e-glomerular filtration rate as a covariate of clearance, using a dataset of 86 patients/223 samples. Typical ceftazidime clearance and volume of distribution were 4.45L/h and 88L, respectively. The predicted individual ceftazidime concentrations were significantly lower at 24 ± 4hours than at 48 ± 4hours. Of the 8 publications of pharmacokinetics models developed in ICU populations, median volume of distribution was 37.2L. The simulated LD to achieve 60mg/L in 80% of the patients from the models found in the literature was higher than 2g in all but one study. Median LD was 4.9g.
Conclusions
Standard LD results in delay in achieving target ceftazidime concentration in ICU patients.
Genetic and Survey Data Improves Performance of Machine Learning Model for Long COVID
Authors: Wei Wei-Qi , Guardo Christopher , Gandireddy Srushti , Yan Chao , Ong Henry , Kerchberger Vern , Dickson Alyson , Pfaff Emily , Master Hiral , Basford Melissa , Tran Nguyen , Mancuso Salvatore , Syed Toufeeq , Zhao Zhongming , Feng QiPing , Haendel Melissa , Lunt Christopher , Ginsburg Geoffrey , Chute Christopher , Denny Joshua , Roden Dan 
Published: December 2023

Abstract
Over 200 million SARS-CoV-2 patients have or will develop persistent symptoms (long COVID). Given this pressing research priority, the National COVID Cohort Collaborative (N3C) developed a machine learning model using only electronic health record data to identify potential patients with long COVID. We hypothesized that additional data from health surveys, mobile devices, and genotypes could improve prediction ability. In a cohort of SARS-CoV-2 infected individuals (n=17,755) in the All of Us program, we applied and expanded upon the N3C long COVID prediction model, testing machine learning infrastructures, assessing model performance, and identifying factors that contributed most to the prediction models. For the survey/mobile device information and genetic data, extreme gradient boosting and a convolutional neural network delivered the best performance for predicting long COVID, respectively. Combined survey, genetic, and mobile data increased specificity and the Area Under Curve the Receiver Operating Characteristic score versus the original N3C model.
Effect of ectomycorrhizal fungi on the activation and uptake of phosphorus in Populus davidiana×P. bolleana mycorrhizosphere and hyphosphere
Authors: Zhang Tianze , Meng Fanjun , Yin Dachuan 
Published: December 2023

Abstract
Ectomycorrhizal fungi (ECMF) are capable of converting phosphate in the insoluble state of the soil into effective phosphorus that can be directly absorbed and used by plants, a mechanism that is essential for promoting plant growth and development.In this study, we utilized Populus davidiana × P. bolleana tissue culture seedlings as the test material. Inoculation was performed with two ectomycorrhizal fungi: Suillus luteus and Paxillus involutus. The aim was to study the activation and uptake of soil phosphorus by ectomycorrhizal. Our results showed that inoculation of both S. luteus and P. involutus significantly increased seedling height, ground diameter, biomass and tissue phosphorus content of Populus davidiana × P. bolleana seedlings. Concurrently, it reduced soil pH, increased soil acid phosphatase activity and soil effective phosphorus content. All effects on mycorrhizosphere were better than those on hyphosphere. Therefore, this study concludes that the introduction of ectomycorrhizal acidifies the soil, increases the activity of soil acid phosphatase, promotes the decomposition of phosphate in the insoluble state of the soil, increases the content of effective phosphorus in the soil, thus promoting the uptake of phosphorus by plants, and plays a role in the growth of Populus davidiana × P. bolleana. Among them, mycorrhizal affect the soil to a greater extent than their hypha.
Clinical application of manual hysteroscopic tissue retrieval system (HTRS) PolyGone in treating endometrial polyps (EPs) outpatient
Authors: He Sili , Li Lijie , Ye mingzhu 
Published: December 2023

Abstract

Objective:To investigate the safety and effectiveness of manual hysteroscopic tissue retrieval system (HTRS) PolyGone in outpatient treatment of endometrial polyps (EPs).
Materials and methods: : A total of 32 patients undergoing outpatient endometrial polyp surgery with PolyGone manual HTRS from August 2021 to December 2021 in the Third Xiangya Hospital of Central South university were selected as the research objects.
Results:All 32 patients successfully completed the surgery, the average surgery time was 12.06±6.62min, the average resection time was 2.98±2.12min, the dilation fluid volume was 229.69±109.76ml, and no serious complications occurred. The median visual analogue scale(VAS) score of patients at 0.5h after operation was 2 (0,2), and that of patients at 2h after operation was 0 (0, 2). The LIKERT five-scale score of both patients and doctors showed 100% satisfaction. All patients were diagnosed as EPs by postoperative pathological examination and were followed up one month after surgery. The duration of postoperative vaginal bleeding was 2-9 days, with a median of 5 (4,7). There was little vaginal bleeding and no postoperative complications. Pregnancy was found in 4 patients 3 months after operation. Among the 28 patients who were not pregnant, 22 (91.7%) of the 24 patients with abnormal vaginal bleeding symptoms before operation disappeared, and the other 2 patients had a little irregular vaginal bleeding after Mirena implantation, which was considered to be caused by Mirena. 26 patients completed B-ultrasound review within the follicular period 3 months after surgery, 23 patients (88.5%) had normal results and no recurrence of polyps,1（3.8%）patient had uneven endometrium, and the other 2 (7.7%) patients were suggested to consider polyp recurrence (none of them received postoperative adjuvant medication).
Conclusion: The manual HTRS PolyGone is safe, effective and has high patient satisfaction. It is a new option for non-electrothermal resection of EPs.
DNA methylation risk score for type 2 diabetes is associated with gestational diabetes
Authors: Linares-Pineda Teresa M , Fragoso-Bargas Nicolas , Picón María José , Molina-Vega Maria , Jenum Anne Karen , Sletner Line , Lee-Ødegård Sindre , Opsahl Julia O , Moen Gunn-Helen , Qvigstad Elisabeth , Prasad Rashmi B , Birkeland Kåre I , Morcillo Sonsoles , Sommer Christine 
Published: December 2023

Abstract
Background
Gestational diabetes mellitus (GDM) and type 2 diabetes mellitus (T2DM) share many pathophysiological factors including genetics, but whether epigenetic marks are shared is unknown. We aimed to test whether a DNA methylation risk score (MRS) for T2DM was associated with GDM across ancestry and GDM criteria.
Methods
In two independent pregnancy cohorts, EPIPREG (n = 480) and EPIDG (n = 32), DNA methylation in peripheral blood leukocytes was measured at a gestational age of 28 ± 2. We constructed an MRS in EPIPREG and EPIDG based on CpG hits from a published epigenome-wide association study (EWAS) of T2DM.
Results
With mixed models logistic regression of EPIPREG and EPIDG, MRS for T2DM was associated with GDM: odd ratio (OR)[95% CI]: 1.3 [1.1–1.8], P = 0.002 for the unadjusted model, and 1.4 [1.1–1.7], P = 0.00014 for a model adjusted by age, pre-pregnant BMI, family history of diabetes and smoking status. Also, we found 6 CpGs through a meta-analysis (cg14020176, cg22650271, cg14870271, cg27243685, cg06378491, cg25130381) associated with GDM, and some of their methylation quantitative loci (mQTLs) were related to T2DM and GDM.
Conclusion
For the first time, we show that DNA methylation marks for T2DM are also associated with GDM, suggesting shared epigenetic mechanisms between GDM and T2DM.
Experimental Evaluation of Behaviors of the Soft Sand ‘RHACLSMC’ under Temperature Variations and the Natural Environment Conditions
Authors: Doan Thy Truc 
Published: December 2023

Abstract

Numerical Simulation of the Composite Sand Ground ‘RHACLSMC’ Strains under the Groundwater level and Natural Condition variations measured behaviors of sand under displacement, and natural condition variation. The composite sand ‘RHACLSMC’ with material mixtures ‘rice husk ash’ of 4%; ‘lime’ of 8%; ‘sawdust’ of 8%; ‘mangrove charcoal’ of 4%; under Temperature Variations from 310C to 350C and the Natural Environment Conditions consideration. The research results show the decreasing of temperature and changing of the natural environment conditions (wind speed, air moisture, dew-point, cloud density, air quality, and other factors), which result in the decrease of sample volume, weight, water content, and sizes; whereas compared with the increasing of time. Moreover, the colors changed remarkably in the soft sand sample according to water content, temperature, weight, and time increase. On the other hand, the results of the Numerical simulation presented the Mobilized Shear Strength, total Volumetric Strains, and the veritcal displacement are small. So these relative research results contribute to the soft sand ‘RHACLSMC’ ground improvement technology with material mixtures for references for design, building, and construction in Geology engineering in the future.
In-Silico Discovery of Potential Dual Inhibitors Targeting Human Acetylcholinesterase and Butyrylcholinesterase for Alzheimer's Disease: A Pharmacophore-Based Virtual Screening and Molecular Docking Approach
Authors: Yadav Poonam , Jaiswal Shivani 
Published: December 2023

Abstract
The concomitant inactivation of both human acetylcholinesterase (hAChE) and butyrylcholinesterase (hBuChE) is a significant factor in the therapeutic approach to AD. The objective of this research is to use in silico methodologies namely, pharmacophore-based virtual screening and molecular docking to find potential dual inhibitors targeting both hAChE and hBuChE. Six features’ pharmacophores were developed using structure-based drug design for AChE and BuChE enzymes and developed pharmacophores were validated using the Gunery-Henery (GH) Scoring method. The GH scores were found in the acceptable range; 0.779 for AChE and 0.833 for BuChE-based pharmacophore. Further validated pharmacophores were used for exploring the ZINC database to retrieve the novel hits employing various parameters viz fit value, Lipinski rule of five violation, and feature mapping. After the virtual screening process, 11 molecules were retrieved which were further subjected to molecular docking to determine the binding interactions with the AChE and BuChE enzyme's active binding sites using the LibDock module in DS 2.0 software. Based on binding energy and binding interactions three molecules were selected for the molecular dynamic (MD) simulation and in-silico pharmacokinetics. Finally, MD simulation and in-silico pharmacokinetics analysis exhibited that ZINC000329492445, ZINC000001693021, and ZINC000257331938 molecules can be potential dual inhibitors against hAChE and hBuChE.
Investigating a novel feature of Multi-Phase Rotated Empirical Orthogonal Function to capture Spatiotemporal Temperature Variations
Authors: Mishra Kamana , Azad Sarita 
Published: December 2023

Abstract

Climate change has had a significant impact on the Northwest Himalayan (NWH) region, making it necessary to analyze its rapidly shifting space-time field using appropriate statistical methods. In order to represent systematic patterns and explain the localized characteristics of the region, we employ Rotated Empirical Orthogonal Functions (REOFs) on mean temperature data (1981-2021). The NWH region is divided into the snow and non-snow cover regions via REOF analysis, allowing for a more accurate representation of the data. In particular, the western parts of Uttarakhand (U.K.) and Himachal Pradesh (H.P.) showed significant fluctuations in the second REOF mode of mean temperature, which accounted for 38.7% of the entire variance. However, the principal component (PC) that was connected with it was unable to reflect the data pattern in these areas. Towards this, we have introduced Multi-phase REOF analysis for the first time to identify PCs that accurately represent the original data and provide insight into the specific temporal variations. We also investigated potential reasons for these variances in these specific NWH locations. Climate change modelling in the area can be enhanced by using the data's deduced physical properties and recognised temperature zones.
Copper oxide nanobiochar from spent coffee grounds for phosphate removal and its application as an antibacterial activity
Authors: Sisay Gamada Begna , Bezabeh Biruk , Getachew Eskedar 
Published: December 2023

Abstract
From the viewpoint of both eutrophication and sustainable use of phosphate, the removal and recovery of phosphate from wastewater are important. Adsorption is seen as a viable alternative for effective phosphate removal, even at low concentrations. It is very simple to operate and cheaper. Among the various adsorbents tested, biomass-derived nanomaterials, such as nanobiochar, have shown promising efficiency. However, the use of pristine biochar is often less effective and difficult to recycle. In the present study, copper oxide-modified nanobiochar from spent coffee grounds is presented as an effective phosphate adsorbent. The adsorbent was prepared by the acid digestion of spent coffee grounds, followed by the co-precipitation of copper metal. The developed adsorbent was characterized by BET, FTIR, and XRD. Batch mode adsorption studies were conducted to assess the adsorption efficiency of the developed adsorbent and to investigate the effect of pH, initial concentration, contact time and adsorbent dose. It was observed that acidic conditions favoured the adsorption of phosphate, with maximum adsorption efficiency (93%) at pH 3. The maximum equilibrium phosphate adsorption capacity in this study was 50.2 mg/g at 25 oC, pH 3, a phosphate concentration of 20 mg/L, and an adsorbent dose of 35 mg/mL. The batch experimental data fit the Freundlich isotherm with regression (R2 = 0.991), which signifies that the surface of the adsorbent is heterogeneous. Adsorption kinetic data were best fitted with the pseudo-second-order kinetic model (R2 = 0.996), indicating that the adsorption process was dominated by chemisorption. The copper oxide nanoparticles and Cu/NBC showed relatively higher zone inhibition in gram-positive bacteria than in gram-negative bacteria at similar concentrations. This might be due to the higher activity of the nanoparticle extract on gram-positive bacteria, as most nanoparticle extracts were more active in gram-positive bacteria. This difference may be explained by the difference in the structure of the cell wall in gram-positive bacteria, which consists of a single layer, and in gram-negative bacteria, which has a multi-layered structure and is quite complex. In the majority of test bacteria, Cu/NBC showed better activity. The higher activity of this nanomaterial might be associated with the number of bioactive metabolites and their synergetic activities.
The Current Situation and Influencing Factors of Adversity Quotient of Medical Undergraduates
Authors: Wang Xinglei , Zhou Yihan , Ma Li , Ma Ting , Wang Yingqiao , Liu Chaoqi , Wang Qian , Zhang Yamin , Dou Xinman 
Published: December 2023

Abstract

Aims: This study aims to investigate the current situation and related factors of adversity quotient of medical undergraduates.
Design: Cross sectional. All participants completed a questionnaire voluntarily and anonymously.
Methods: A cross-sectional design was adopted in this study, and medical undergraduates from a university in Lanzhou were selected as convenient samples (n=359). In addition to the socio-demographic questions, the Chinese version of Adversity Response Profile, Professional Identity Questionnaire, college student Professional Adaptability Scale and Coping Style Questionnaire were used to evaluate the characteristics of medical students.
Results: The average stress quotient score was 190.91 (SD: 19.74).Multiple linear regression analysis showed that gender (β= -0.119, P=0.015) and professional adaptability (β= 0.379, P＜0.001) were related factors of adversity quotient, which might explain 18.5% of the total variation (F = 12.591, P<0.001).
Conclusion: The adversity quotient level of medical undergraduates still has a large space for improvement.Gender and professional adaptability are related factors of adversity quotient.
Impact: Adversity quotient is an important ability for medical undergraduates to face setbacks and challenges. Therefore, it is necessary to develop targeted interventions to improve adversity quotient.