bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wilforol A inhibits human glioma cell proliferation and deactivates the PI3K/AKT signaling pathway
Authors: Wang Zhihan , Ren Li , Xu Hao , Wei Zilong , Zeng Hongjun 
Published: February 2023

Objectives: To study the anti-proliferation activity of wilforol A against glioma cells and its possible molecular mechanisms. Methods: Human glioma cell lines U118 MG and A172, human tracheal epithelial cells (TECs) and astrocytes (HAs) were exposed to various concentrations of wilforol A and evaluated for viability, apoptosis, and levels of proteins using WST-8 assay, flow cytometry and Western blot analysis, respectively. Results: Wilforol A inhibited the growth of U118 MG and A172 cells, but not TECs and HAs, in a concentration-dependent manner and the estimated IC50 were 6 to 11 μM after 4 h-exposure. Apoptosis was induced at an apoptotic rate of about 40% at 100 μM in U118 MG and A172 cells, but the rates were less than 3% in TECs and HAs. Co-exposure to caspase inhibitor Z-VAD-fmk significantly reduced wilforol A-induced apoptosis. Wilforol A treatment also reduced the colony formation ability of U118 MG cells and triggered a significant increase in ROS production. Elevated levels of pro-apoptotic proteins p53, Bax and cleaved caspase 3 and reduced level of the anti-apoptotic protein Bcl-2 were observed in glioma cells exposed to wilforol A. The expression of PI3K and p-Akt genes in the PI3K/AKT pathways were significantly downregulated in glioma cells treated with wilforol A. Conclusions: Wilforol A inhibits the growth of glioma cells, reduces the levels of proteins in the P13K/Akt signal transduction pathways and increases the levels of pro-apoptotic proteins.
Atrial septostomy to prevent pulmonary hypertension crisis in children with ventricular septal defect (VSD) and pulmonary hypertension (PH) underwent cardiac surgery: a case series
Authors: Aribowo Haryo , Arditya Yoga , Gabriela Gita Christy 
Published: February 2023

Severe pulmonary hypertension (PH) was reported in 22.4% of ventricular septal defect (VSD) and it was mainly seen on a large VSD. Atrial septostomy (AS) could improve the hemodynamic condition and long-term survival of PH patients. Here, three VSD and PH cases in children who underwent AS surgery as their early treatment, concomitant with PH-specific pharmacological treatment were reported. Patient’s hemodynamic and general condition improved with no further complications during the follow-up period. Atrial septostomy was usually conducted after all PH-specific pharmacological interventions failed. However, a study found that the survival benefit of AS was significantly increased if it was conducted before PH-specific pharmacotherapies. Most of the patients in this case received immediate hemodynamic and functional improvement. In this case series, it was reported that the AS procedure could lower the pulmonary arterial pressure and be safely conducted without further complications or death >24 hr post-surgery. Considering the clinical benefit, safety procedure, and improved pulmonary arterial pressure, performing AS procedure concomitant with PH-specific pharmacotherapy as an early treatment for PH patients is recommended.
The difference in biofilms formations on duration less than 90 d and more than 90 d of tracheotomy cannula usage
Authors: Wicaksana Pradhana Fajar , Wulandari Dian Paramita , Kusuma Angga , Sastrowijoto Siswanto 
Published: February 2023

Currently, prevention of local and systemic infections caused by implantable devices is increasingly improved. Tracheostomy is a surgical action followed by an implantable device called tracheotomy cannula into a trachea to maintain upper airway patenting. The incidence of biofilm-related complications and infections is associated with the length of duration of the attached tracheostomy. The formation and spread of biofilms from distal cannula increase the infection incidence in stoma, tracheitis, and even peripheral pneumonia. However, until now there has been no consensus on when the tracheostomy replacement supposedly conducted. Some manufacturers recommend that cannula replacement supposedly conducted within 30 d, but the data are not yet in agreement and need further study. This study aimed to determine the difference in biofilms formations in a duration of less than 90 d and more than 90 d of tracheotomy cannula usage. It was a cross-sectional study involving patients who underwent a tracheostomy at the Department of Otorhinolaryngology of Dr. Sardjito General Hospital, Yogyakarta. Fisher exact test was applied to analyze the biofilms formations of the two different duration of tracheostomy cannula usage. A total of 20 patients were involved in this study. Durations of more than 90 d had more biofilms formations compared to less than 90 d, although it was not significantly different (p>0.05). However, the PR value of 6 indicated that subjects who have attached cannula more than 90 d clinically have 6 times higher risk for developing biofilms formations than those less than 90. In conclusion, there is no significant differences in biofilms formations between the less than 90 d and more than 90 d of tracheostomy cannula usage. However, clinically subjects with longer duration of tracheostomy cannula usage have higher risk for developing biofilms formations.
Ganglion Cyst Resection of the Anterior Cruciate Ligament using the Posterior Trans-Septal Approach
Authors: Han Changhun , Shinkuma Takafumi , Shinkuma Takafumi , Takei Satoshi , Oki Takeshi 
Published: February 2023

Case:
We present 2 patients each with an intra-articular ganglion cyst arising at the femoral attachment of the anterior cruciate ligament that was successfully resected using the posterior trans-septal portal approach. At the final follow-up, the patients had no recurrence of symptoms and no recurrence of the ganglion cyst on magnetic resonance imaging.

Conclusion:
Surgeons should consider the trans-septal portal approach when they cannot visually confirm the intra-articular ganglion cyst by the arthroscopic anterior approach. The trans-septal portal approach enabled complete visualization of the ganglion cyst located in the posterior compartment of the knee.
A Hybrid Embedded Discrete Fracture Model and Dual-Porosity, Dual-Permeability Workflow for Hierarchical Treatment of Fractures in Practical Field Studies
Authors: Hui Mun-Hong , Mallison Bradley , Thomas Sunil , Muron Pierre , Rousset Matthieu , Earnest Evan , Playton Ted , Vo Hai , Jensen Clair 
Published: February 2023

Summary
Natural fracture systems comprise numerous small features and relatively few large ones. At field scale, it is impractical to treat all fractures explicitly. We represent the largest fractures using an embedded discrete fracture model (EDFM) and account for smaller ones using a dual-porosity, dual-permeability (DPDK) idealized representation of the fracture network. The hybrid EDFM + DPDK approach uses consistent discretization schemes and efficiently simulates realistic field cases. Further speedup can be obtained using aggregation-based upscaling. Capabilities to visualize and post-process simulation results facilitate understanding for effective management of fractured reservoirs. The proposed approach embeds large discrete fractures as EDFM within a DPDK grid (which contains both matrix and idealized fracture continua for smaller fractures) and captures all connections among the triple media. In contrast with existing EDFM formulations, we account for discrete fracture spacing within each matrix cell via a new matrix-fracture transfer term and use consistent assumptions for classical EDFM and DPDK calculations. In addition, the workflow enables coarse EDFM representations using flow-based cell-aggregation upscaling for computational efficiency. Using a synthetic case, we show that the proposed EDFM + DPDK approach provides a close match of simulation results from a reference model that represents all fractures explicitly, while providing runtime speedup. It is also more accurate than previous standard EDFM and DPDK models. We demonstrate that the matrix-fracture transfer function agrees with flow-based upscaling of high-resolution fracture models. Next, the automated workflow is applied to a waterflooding study for a giant carbonate reservoir, with an ensemble of stochastic fracture realizations. The overall workflow provides the computational efficiency needed for performance forecasts in practical field studies, and the 3D visualization allows for the derivation of insights into recovery mechanisms. Finally, we apply a finite-volume tracer-based flux post-processing scheme on simulation results to analyze production allocation and sweep for understanding expected waterflood performance.
In-Situ Visualization of Imbibition Process Using a Fracture-Matrix Micromodel: Effect of Surfactant Formulations toward Nanoemulsion and Microemulsion
Authors: Wei Bing , Li Qinzhi , Yang Weipeng , Wang Yiwen , Lu Jun , Tang Jinyu 
Published: February 2023

Summary
Spontaneous imbibition can help to improve the oil recovery of unconventional reservoirs owing to the significant capillarity. Although the dependence of imbibition dynamics of surfactants on wettability and interfacial tension (IFT) is understood, the mechanisms of nanoemulsion and microemulsion forming surfactants for higher imbibition recovery are not as clear. Herein, we conducted a series of imbibition experiments on a visual fracture-matrix micromodel, aiming to directly observe the imbibition processes of these surfactant formulations. Four surfactant-based fluids, including a common surfactant [fatty alcohol polyoxyethylene ether, sodium sulfate (AES)], a surfactant composition of nanoemulsion (nE-S), an ex-situ nanoemulsion (nE), and a situ microemulsion forming surfactant (mE-FS), were designed and used in this work for comparison with brine.
The results suggested that AES, nE-S, nE, and mE-FS could substantially stimulate the imbibition invasion, and mE-FS generated the greatest imbibition depth and sweeping area followed by nE. The imbibition dynamics were governed by the interfacial interactions among oil, aqueous phase, and solid surface, leading to different imbibition patterns for these five fluids. AES and nE-S could reduce the oil-aqueous IFT to 10−1 mN/m and alter the wettability to a weak water-wet state as a result of surfactant adsorption, leading to a slightly higher imbibition invasion compared with brine. AES imbibition produced large oil droplets mainly because of the snap-off effect at the nozzle to the fracture, whereas nE-S produced smaller oil droplets due to the weak in-situ emulsification. nE as a formed nanoemulsion with an internal oil phase demonstrated a lower IFT of 10−2 mN/m and superior capacity in changing surface wettability mainly through the adsorption and spreading of nanosized oil droplets on the surface. The oil phase was heavily emulsified forming dense droplets on the oil-aqueous interface. mE-FS readily formed Winsor Type III microemulsion and produced an IFT of 10−3 mN/m magnitude. The wettability was changed mainly because of the peeling oil film and formation of microemulsion on the surface induced by solubilization. The dynamic increase of the oil-aqueous IFT at the imbibition front caused by the adsorption loss of surfactant to the surface and partitioning to the oil phase promoted capillary-driven imbibition for nE and mE-FS. We modified an imbibition model to incorporate the solubilization effect, leading to a much better fitting with the experimental data.
Empirical analysis of impact of weather and air pollution parameters on COVID-19 spread and control in India using Machine Learning Algorithm
Authors: Shrivastav Lokesh Kumar , KUMAR RAVINDER 
Published: February 2023

Abstract

The COVID-19 has affected and threatened the world health system very critically throughout the globe. In order to take preventive actions by the agencies in dealing with such a pandemic situation, it becomes very necessary to develop a system to analyze the impact of environmental parameters on the spread of this virus. Machine learning algorithms and artificial Intelligence may play an important role in the detection and analysis of the spread of COVID-19. This paper proposed a twinned gradient boosting machine (GBM) to analyze the impact of environmental parameters on the spread, recovery, and mortality rate of this virus in India. The proposed paper exploited the four weather parameters (temperature, humidity, atmospheric pressure, and wind speed) and two air pollution parameters (PM2.5 and PM10) as input to predict the infection, recovery, and mortality rate of its spread. The algorithm of the GBM model has been optimized in its four distributions for best performance by tuning its parameters. The performance of the GBM is reported as excellent (where R2 = 0.99) in training for the combined dataset comprises all three outcomes i.e. infection, recovery and mortality rates. The proposed approach achieved the best prediction results for the state, which is worst affected and highest variation in the atmospheric factors and air pollution level.
An open protocol for modeling T Cell Clonotype repertoires using TCRβ CDR3 sequences
Authors: Gurun Burcu , Horton Wesley , Murugan Dhaarini , Zhu Biqing , Leyshock Patrick , Kumar Sushil , Byrne Katelyn T. , Vonderheide Robert H. , Margolin Adam A. , Mori Motomi , Spellman Paul T. , Coussens Lisa M. , Speed Terence P. 
Published: February 2023

Abstract
T cell receptor repertoires can be profiled using next generation sequencing (NGS) to measure and monitor adaptive dynamical changes in response to disease and other perturbations. Genomic DNA-based bulk sequencing is cost-effective but necessitates multiplex target amplification using multiple primer pairs with highly variable amplification efficiencies. Here, we utilize an equimolar primer mixture and propose a single statistical normalization step that efficiently corrects for amplification bias post sequencing. Using samples analyzed by both our open protocol and a commercial solution, we show high concordance between bulk clonality metrics. This approach is an inexpensive and open-source alternative to commercial solutions.
Hemorrhoidal Disease among doctors from Grade-A Tertiary Hospitals in Big Cities of China: results from web-based doctors as patients survey
Authors: Qiu Xiaoyuan , Liu Yuxin , Shi Weikun , Lin Guole 
Published: February 2023

Abstract
Background: Doctors are at high risk of developing hemorrhoidal disease (HD), but it’s still not clear that how much doctors aware of this problem. OASIS (dOctors AS patIentS) study was conducted to understand the prevalence, awareness, diagnosis and treatment of HD among doctors in big cities of China.
Methods: From August to October in 2020, an online survey was conducted through questionnaire among doctors from grade-A tertiary hospitals in 29 provinces across China.
Results: A total of 1227 questionnaires were collected. The prevalence of HD was 56.8%, with a significant difference between internists and surgeons (P=0.01). 15.6% doctors with HD did not know well about the chronic nature of HD. 91.5% of doctors adopted general treatment, and 83.0% doctors considered that “oral medications are used only after ineffective topical medications”. Among the oral medications, the Micronized Purified Flavonoid Fraction (MPFF) performed best on the scores of the three most valuable aspects, but only 17% doctors had received treatment with MPFF.
Conclusions: Doctors are at higher risk of developing HD, and HD is highly prevalent among Chinese doctors, but the awareness of that is not enough. There is a gap between the HD clinical practice and guideline recommendations even in doctors, such as late initiation of oral drug therapy and inadequate oral drug therapy. Therefore, awareness and standardized treatment of HD should be strengthened among Chinese doctors, and what’s more, ordinary people.
Digital Cognitive Tests for Dementia Screening: A Systematic Review
Authors: Amanzadeh Masoud , Hamedan Mahnaz , Mahdavi Abdollah , Mohammadnia Alireza 
Published: February 2023

Abstract
Background: The number of people with dementia is increasing dramatically. With the outbreak of the COVID-19 pandemic, use of digital screening tests can play a significant role in the remote and timely detection of people with dementia. The aim of this study is to review digital cognitive tests for dementia screening.
Methods: We searched Web of Science, ProQuest, PubMed, Scopus and Cochrane in June, 2022. 1348 articles were identified. After reviewing the articles and excluding duplicates and irrelevant articles, thirty-two articles met our inclusion criteria.
Results: The studies were classified into 3 groups as follows: 1) mobile-based screening tests 2) desktop-based screening tests 3) web-based screening tests.
Conclusion: The use of digital cognitive tests, especially mobile-based screening tests, facilitates timely diagnosis of dementia. Development of AI-based screening tests and use of technologies such as virtual reality and chatbots will set a bright future in early detection of dementia.
Risk Factors of Post Discharge Falls in Patients Undergoing Total Knee Arthroplasty
Authors: Sadiq Samreen , noor Rabiya , Bashir Salman , Akram Rizwan , Asim Hafiz 
Published: February 2023

Abstract
Background:
Falls are commonly reported among patients after total knee replacement. Previous literature and reviews have largely focused on the risk factors for fall among population undergoing total knee replacement. However, no systematic review has identified specific risk factors among female population undergoing the procedure regarding post discharge falls. Thus, the current review aimed to identify and provide summary of the key risk factors in women with total knee replacement about post discharge falls.
Main Body:
To identify the current evidence on risk factors among patients undergoing total knee replacement for after-discharge falls. Systematic review was conducted and data bases were searched including Cochrane, Medline, PEDro from 2000 to latest. A thorough search was performed to retrieve articles missed through databases as well as unpublished grey literature. Methodological quality assessment was performed using Nottawa Castle Scale for Case Control and Cohort studies and AXIS tool for cross sectional study. 10 articles finally met the inclusion criteria and were included in the review based on eligibility. There were 6 Cohort studies, 1 Cohort study protocol, 2 Case Control and 1 cross sectional, 3 randomized pilot studies and 1 prospective cohort study.
Conclusion(s):
Patients who underwent total knee replacement are at risk of post discharge falls. Advancing age, reduced proprioception, psychiatric disorders, living alone and operated knee pain were considered to be important risk factors for post discharge falls.
Improved Segmentation With Optimization Based Multilevel Thresholding and K-Means Clustering for Plant Disease Identification
Authors: David Beulah , R Gomathi 
Published: February 2023

Abstract
Plant disease identification is an important application for plant protection in agriculture production. The early detection of crop disease helps to reduce the effect of disease in cultivation. The detection of disease should be done precisely. Hence the hyperspectral sensors are extensively used in plant disease detection. Artificial intelligence and machine learning-based techniques have been presented in many works for plant disease detection. Deep learning is the latest method used in image processing and pattern recognition with improved accuracy. For plant disease detection, accurate classification of disease can be obtained with the utilization of deep learning techniques. In this paper, adaptive extreme learning machine (AELT) is presented for classifying the disease. Before the classification process, the segmentation and feature extraction process is performed to improve the disease detection accuracy. Multilevel thresholding-based K-means clustering with probability-induced butterfly optimization algorithm is presented for segmentation. The entropy-based features are extracted from plant images. The features are applied to the AELT classifier. The results are evaluated with the standard dataset and compared with the state of art techniques.
Large-scale knowledge service supply and demand matching method based on subject psychology
Authors: Li Boquan , Chen Suwan , Li Yongyi 
Published: February 2023

Abstract
With the development of modern information technology and global information network, more and more knowledge service providers are transforming to digital platform service mode. As the intermediary of the market, the enterprise gathers the supply and demand information of knowledge demanders and knowledge suppliers together through the virtual network platform, so as to achieve the maximum matching of the interests of both sides. For the actual knowledge service supply and demand matching problem, considering that the cardinality of matching objects may be large. Firstly, we propose a multi-attribute ordered clustering method based on probabilistic linguistic information, which makes the two-sided matching problem in the same ranked class. Secondly, considering that the preference information is affected by the subject’s psychology, based on the disappointment theory, the disappoint-satisfaction function is constructed to modify the preference information. In addition, the expected preference value is defined to ensure that the matching parties are mutually satisfied. An example shows that the method is effective and practical. The method proposed in this paper extends the application of knowledge service supply and demand matching method, and provides a theoretical basis for improving the efficiency and personal satisfaction of knowledge service supply and demand matching.
Results of Arthroscopic Treatment for Anteroinferior Shoulder Instability Using a Single Anterior Working Portal Using Birdbeak
Authors: Yamak Kamil , Cetin Onur , Aydemir Omer 
Published: February 2023

Abstract
Background
The shoulder joint is the joint with the most dislocations in all joints. The arthroscopic surgery method is considered the gold standard because it creates less soft tissue damage, shorter hospitalization and surgery time, and less restriction of movement after surgery in shoulder instability. Anterior single portal technique has become popular recently. In this study, it was aimed to evaluate the results of the anterior single portal repair technique using "birdbeak".
Methods
In the total of 40 patients who underwent arthroscopic surgery for traumatic recurrent anterior shoulder dislocation between January 2017 and February 2020, this study included 19 patients with the surgical technique of arthroscopic isolated anterior labrum tear repair using a birdbeak from the anterior single working portal. Clinical results were evaluated with the Simple Shoulder Test (SST), Rowe Score for Instability (RWS) and Oxford Shoulder Instability Score (OSIS) tests before and after surgery. The relationship between the time to surgery after the first dislocation and clinical outcomes was also examined in the study.
Results
The mean follow-up period of the 19 patients included in this study was 33.1 months. The mean time to surgery after the first dislocation was 18.4 months. The mean preoperative number of dislocations was 5.3. The mean number of anchors used in the repair was 2.1. No recurrent dislocations were observed after surgery. A significant difference was observed between preoperative and postoperative SST, RWS and OSIS scores (respectively, p=0.000<0.001, p=0.000<0.001, p=0.000<0.001). There was no statistically significant relationship between the time elapsed after the first dislocation and the postoperative SST, RWS, OSIS scores (respectively, p=0.43>0.05, p=0.39>0.05, p=0.31>0.05).
Conclusion
It has been observed that the repair technique applied using the “birdbeak” from the anterior single working portal is a successful treatment, and further studies are required due to the limited literature.