bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Active Group with Potential Anti-seizure Activity: A Review on 1,2,4-
Triazoles
Authors: Wang Ying , Quan Zheshan , Liu Dachuan 
Published: June 2022

Background:
Epilepsy is one of the most common neurological disorders. Many individuals
continue to have seizures despite medical and surgical treatments, suggesting that the discovery of novel
anti-seizure drugs is vital. Triazole compounds are widely used as pharmaceuticals and have gained significant interest in medicinal chemistry. In this article, the development of triazoles, especially 1,2,4-
triazole, in the field of anti-seizure therapeutics is reviewed.

Methods:
The relevant literature was investigated, classified, and analysed. This article attempts to systematically review the research of triazole derivatives in the design and development of anti-seizure
agents during the past two decades through extensive literature research, which was based on the information accessible in PubMed, Science Direct, Google Scholar and other databases.

Results:
Research results demonstrate that triazoles occupy a distinct niche in heterocyclic chemistry and
represent a key motif in medicinal chemistry because of their ability to exhibit an array of properties and
bioactivities. Therefore, 1,2,4-triazole appears to be an important pharmacophore, especially in the field
of anti-seizure therapeutics, where its promising potential value has been explored.

Conclusion:
This review presents a summary of the research related to 1,2,4-triazole, which acts as a
potential anti-seizure pharmacophore that could be further developed. Compounds with 1,2,4-triazole or
related structures had previously shown reasonable anti-seizure activity and safety. After thorough research of this structure, it is believed that 1,2,4-triazole-containing compounds will be further developed
as anti-seizure drugs for clinical use.
Development and Validation of a Hypoxia-related Prognostic Model for Ovarian Cancer
Authors: Xie Linling , Pan Meijun , Zhang Zhaoping , Jiang Xiaotao , Chen Yi , Liu Guantong , Chen Yanfen , Zeng Yuhua , Guan Jieshan , Lu Ruling , Zeng Lei 
Published: June 2022

Background:The high heterogeneity of ovarian cancer (OC) brings great difficulties to its early diagnosis and prognostic forecast. It is an urgent need to establish a prognostic model of OC based on clinicopathological features and genomics.Methods:We identified hypoxia-related differentially expressed genes (DEGs) between OC tissues from The Cancer Genome Atlas (TCGA) and normal tissues from the Genotype-Tissue Expression (GTEx). LASSO Cox regression analysis was applied for building a prognostic model in the TCGA-GTEx cohorts, and its predictive value was validated in the GEO-OC cohort. Functional enrichment analysis was performed to investigate the underlying mechanisms. By constructing a hypoxia model of SKOV3 cell line and applying qRT-PCR, we investigated the relationship between hypoxia with two novel genes in the prognostic model (ISG20 and ANGPTL4).Results:Twelve prognostic hypoxia-related DEGs were identified and nine of them were selected to establish a prognostic model. OC patients were stratified into two risk groups, and the high-risk group showed reduced survival time compared to the low-risk group upon survival analysis. Univariate and multivariate Cox regression analysis demonstrated that the risk score acted as an independent risk factor for overall survival. The biological function of the identified prognostic hypoxia-related gene signature was involved in immune cells infiltration. Low expression of ISG20 was observed in the CoCl2-mimicked hypoxic SKOV3 cell line and negatively correlated with HIF-1α.Conclusion:Our findings showed that this hypoxia-related gene signature can serve as a satisfactory prognostic classifier for OC and will be beneficial to the research and development of targeted therapeutic strategies.
Formulation, Development, and in-vitro Evaluation of Escitalopram Fast Dissolving Tablets
Authors: Dhingra Ashwani K. , Bhatia Vishal , Dass Rameshwar , Chopra Bhawna , Guarve Kumar 
Published: June 2022

Background:
Escitalopram, a selective serotonin reuptake inhibitor (SSRI), acts by increasing the serotonin level in the brain and is used widely for the management of depression and anxiety disorders. However, the poor dissolution rate of escitalopram due to less water solubility is a consequential problem confronting the pharmaceutical industry in developing pharmaceutical dosage forms for oral delivery systems.

Objective:
The present work aims to deliver a novel formulation for improving the dissolution profile and, thus, the bioavailability of escitalopram.

Methods:
Fast Dissolving Tablets (FDT) are expected to enable quick drug release, which will improve the drug's dissolving profile, allowing for the initial increase in plasma concentration mandatory in an acute depression attack. The use of co-processed excipients in tablets has been shown to increase the compressibility and disintegration properties of the tablets, resulting in improved in-vitro drug release and bioavailability. As co-processed excipients, a mixture of banana powder (a natural super disintegrant with nutritional value) and microcrystalline cellulose (a highly compressible substance with good wicking and absorption capacity) was used.

Results:
The tablets were made using a response surface, randomised central composite design and a direct compression technique. The manufactured tablets were found to be released more than 95% of the drug within 10 minutes and showed an improved drug release profile than the available marketed formulation.

Conclusion:
As a result, after confirming in-vivo potential, the created fast release formulation exhibited impressive in-vitro findings and may prove to be a boon in treating acute depression attacks.
Antioxidant and Hepatoprotective Activities of Acacia jacquemontii Stem
Extract against High-fat and CCl4-induced Liver Injury in Rat’s Model
Authors: Majeed Wafa , Daud Maria , Awan Ambreen Mehmood , Aslam Bilal , Abdullah Muhammad , Syed Mahnoor , Iqbal Hafsa , Roobi Alishbah , Kanwal Hafiza Arooj , Aslam Noreen 
Published: June 2022

Background:
Chronic liver injury leads to liver inflammation and fibrosis, activating
myofibroblasts in the liver and secreting extracellular matrix proteins that make the fibrous scar.

Objectives:
The purpose of our study was to characterize the polyphenolic content present in Acacia
jacquemontii stem and evaluate its antioxidant and hepatoprotective activity.

Methods:
The phenolic contents in Acacia jacquemontii polyphenolic extract (AJPPE) were
characterized using high-performance liquid chromatography (HPLC). The hepatoprotective and
antioxidant activity of AJPPE were determined through biochemical parameters (ALT, AST, and
ALP), lipid profile (TC, TG, HDL, and LDL), antioxidant biomarkers (SOD, LPO, GSH, and CAT),
anti-fibrotic activity (collagen deposition), and histopathological analysis.

Results:
HPLC analysis of AJPPE showed the presence of polyphenols, including chlorogenic acid,
P-coumaric acid, caffeic acid, and kaempferol, in a remarkable therapeutic range. Results of the in
vivo analysis showed a significant decrease in the level of lipid profile, including LDL (low-density
lipoprotein), TC (total cholesterol), triglycerides, liver function markers (AST, ALT, and ALP),
collagen deposition and significantly increased the level of anti-oxidative biomarkers (CAT, SOD,
LPO, and GSH) by using AJPPE.

Conclusion:
The above-mentioned results have shown that AJPPE possesses significant antioxidative
and hepatoprotective effects. Furthermore, histopathological results also supported the
antioxidant and hepatoprotective potential of AJPPE.
Chitosan-grafted Microspherical Loaded In-situ Gels for Enhanced
Transdermal Delivery of Roxithromycin: In-vitro/Ex-vivo Assessment
Authors: Singh Pankaj , Dubey Amit Kumar , Singh Rahul Kumar 
Published: June 2022

Background:
Atleast once in life everyone experience different kinds of dermal diseases
and the conventional dosage forms having a high rate of side effects. The discussed method is a better
and alternative approach in case of patients’ compliance and sustained drug release.

Objective:
The objectives of this study are to prepare solid dispersion for enhancement of solubility of
roxithromycin, encapsulation of solid dispersion into microspheres, decreased dose frequency, sustained
release and incorporation of microspheres in in situ gel for easy utilization and adherence over
the skin in microbial infection.

Methods:
Solid dispersion of roxithromycin and HPMC at a ratio of 1:1 was prepared by the melting
method, and solubility was measured by in vitro dissolution rate. On the basis of 3² factorial design, 9
different formulations were evaluated by % drug release, particle size, and % entrapment efficiency.
Lastly, in situ gel was prepared by a cold method, which was evaluated through gelling time and temperature;
in vitro gelation method.

Results:
The solid dispersion was found to have a 1.3 times higher solubility than pure roxithromycin
as proven by in vitro drug release. Whereas, microsphere MF-9 was selected as the best formulation
via drug release (87.81%), entrapment efficiency (91.223%), % yield (86.681), and particle size
(110μm). In-situ gel MIG-5 was selected as the best formulation on the basis of drug content
(89.326±0.564), viscosity (9551.666±6.233), and gelling time (25.333±2.054).

Conclusion:
Solid dispersion was prepared successfully with higher solubility than the pure drug. Microspheres
have shown sustained drug release and in situ gels have a good adhesive property and
MIG-5 further enhances the sustained drug release behaviour.
Hybrid Electricity Consumption Prediction Based on Spatiotemporal
Correlation
Authors: Wang Shenzheng , Wang Yi , Cheng Sijin , Zhang Xiao , Li Xinyi , Li Tengchang 
Published: June 2022

Background:
Electricity consumption forecast is an important basis for the power system to achieve regional electricity balance and electricity spot market transactions.

Objective:
In view of the fact that many electricity consumption prediction models do not make good use of the correlation of data in time dimension and space dimension, this paper proposes a day-ahead forecasting model based on spatiotemporal correction, which further improves the forecasting accuracy of electricity demand.

Methods:
Firstly, the long short-term memory (LSTM) model is used to construct the forecasting model. Secondly, from the perspectives of time correlation and space correlation, meanwhile considering calendar factors and meteorological factors, the K-Nearest Neighbors (KNN) model is taken to construct correction models, which can correct the forecasting results of LSTM.

Results:
According to the analysis of power consumption data of 9 areas in New England, the mean absolute percentage error (MAPE), mean absolute error (MAE), and root mean square error (RMSE) of time dimension correction model are reduced by 0.35%, 5.87% and 5.06%, and the 3 evaluation metrics in space dimension are decreased by 0.52%, 6.82% and 7.06% on average.

Conclusion:
The results prove that the models proposed in this paper are effective.
Comparative Study of Machine Learning Algorithms towards Predictive
Analytics
Authors: Petchiappan Maheswari , Aravindhen Jaya 
Published: June 2022

Background:
The trend of the stock market prediction has always been challenging and confusing for investors There is tremendous growth in stock market prediction with the advancement of technology, machine learning, data science, and big data. The media and entertainment sector is one of the diverse sectors in the stock market. In the Indian stock market, Sensex and Nifty are the two indexes. The 2019 pandemic forced the movie theatres to shut down. As a result, distributors and film directors were not able to release their movies in theatres, and production also was stopped. Consequently, during the lockdown, people spent more time at home watching media. Resulting in a higher degree of media consumption.

Objectives:
The objective of the research is to predict the performance of the media and entertainment company's stock prices using machine-learning techniques. Investors will be benefited by maximizing the profit and minimizing the loss.

Methods:
The proposed stock prediction system is used to predict the stock values and find the accuracy of linear
regression and logistic regression in machine learning algorithms for data science.

Results:
The experiments are conducted for the media and entertainment stock price data using Machine-learning algorithms. Media stock prices are considered as the input dataset. The model has been developed using the daily frequency of stock prices with different attributes.

Conclusion:
Thus, the media and entertainment stocks are predicted using linear regression and logistic regression. Using the above techniques, stock prices are predicted accurately to maximize profits and minimize the loss for the investors.
Nanoformulations Enabled Possible Solutions for the Management of
Psoriasis
Authors: Srivastava Nimisha , Gupta Rishabh 
Published: June 2022

Abstract:
Psoriasis is a chronic inflammatory disease with clinical skin manifestations that affect
adults and children. It can significantly negatively impact the physical, emotional, and psychosocial
well-being of affected patients. It has a strong genetic component, but environmental factors such as
infections can play an important role in the presentation of the disease. Patients suffering from a severe
phase of this disease may have greater chances of other diseases like cardiovascular diseases, nonmelanoma,
and lymphoma. The present review majorly focuses on the hallmarks of different types of
psoriasis, the evaluation of biomarkers to establish the severity and therapeutic response, and novel
targeted therapies for managing psoriasis. Potential herbal extracts and bioactive for treating psoriasis
are also highlighted here. A summary of pertinent, peer-reviewed English literature from databases
like EBM, EMBASE and MEDLINE from 2010 to 2021 is used.
Implementing a Health Utility Assessment Platform to Acquire Health Utilities in a Hemodialysis Outpatient Setting: Feasibility Study
Authors: Adejare Adeboye A , Duncan Heather J , Motz R Geoffrey , Shah Silvi , Thakar Charuhas V , Eckman Mark H 
Published: June 2022

Background
Patients with end-stage kidney disease (ESKD) wait roughly 4 years for a kidney transplant. A potential way to reduce wait times is using hepatitis C virus (HCV)–viremic kidneys.

Objective
As preparation for developing a shared decision-making tool to assist patients with ESKD with the decision to accept an HCV-viremic kidney transplant, our initial goal was to assess the feasibility of using The Gambler II, a health utility assessment tool, in an ambulatory dialysis clinic setting. Our secondary goals were to collect health utilities for patients with ESKD and to explore whether the use of race-matched versus race-mismatched exemplars impacted the knowledge gained during the assessment process.

Methods
We used The Gambler II to elicit utilities for the following ESKD-related health states: hemodialysis, kidney transplant with HCV-unexposed kidney, and transplantation with HCV-viremic kidney. We created race exemplar video clips describing these health states and randomly assigned patients into the race-matched or race-mismatched video arms. We obtained utilities for these 3 health states from each patient, and we evaluated knowledge about ESKD and HCV-associated health conditions with pre- and postintervention knowledge assessments.

Results
A total of 63 patients with hemodialysis from 4 outpatient Dialysis Center Inc sites completed the study. Mean adjusted standard gamble utilities for hemodialysis, transplant with HCV-unexposed kidney, and transplantation with HCV-viremic kidney were 82.5, 89, and 75.5, respectively. General group knowledge assessment scores improved by 10 points (P<.05) following utility assessment process. The use of race-matched exemplars had little effect on the results of the knowledge assessment of patients.

Conclusions
Using The Gambler II to collect utilities for patients with ESKD in an ambulatory dialysis clinic setting proved feasible. In addition, educational information about health states provided as part of the utility assessment process tool improved patients’ knowledge and understanding about ESKD-related health states and implications of organ transplantation with HCV-viremic kidneys. A wide variation in patient health state utilities reinforces the importance of incorporating patients’ preferences into decisions regarding use of HCV-viremic kidneys for transplantation.
Self-monitoring of Physical Activity After Hospital Discharge in Patients Who Have Undergone Gastrointestinal or Lung Cancer Surgery: Mixed Methods Feasibility Study
Authors: de Leeuwerk Marijke Elizabeth , Botjes Martine , van Vliet Vincent , Geleijn Edwin , de Groot Vincent , van Wegen Erwin , van der Schaaf Marike , Tuynman Jurriaan , Dickhoff Chris , van der Leeden Marike 
Published: June 2022

Background
Self-monitoring of physical activity (PA) using an accelerometer is a promising intervention to stimulate PA after hospital discharge.

Objective
This study aimed to evaluate the feasibility of PA self-monitoring after discharge in patients who have undergone gastrointestinal or lung cancer surgery.

Methods
A mixed methods study was conducted in which 41 patients with cancer scheduled for lobectomy, esophageal resection, or hyperthermic intraperitoneal chemotherapy were included. Preoperatively, patients received an ankle-worn accelerometer and the corresponding mobile health app to familiarize themselves with its use. The use was continued for up to 6 weeks after surgery. Feasibility criteria related to the study procedures, the System Usability Scale, and user experiences were established. In addition, 6 patients were selected to participate in semistructured interviews.

Results
The percentage of patients willing to participate in the study (68/90, 76%) and the final participation rate (57/90, 63%) were considered good. The retention rate was acceptable (41/57, 72%), whereas the rate of missing accelerometer data was relatively high (31%). The mean System Usability Scale score was good (77.3). Interviewed patients mentioned that the accelerometer and app were easy to use, motivated them to be more physically active, and provided postdischarge support. The technical shortcomings and comfort of the ankle straps should be improved.

Conclusions
Self-monitoring of PA after discharge appears to be feasible based on good system usability and predominantly positive user experiences in patients with cancer after lobectomy, esophageal resection, or hyperthermic intraperitoneal chemotherapy. Solving technical problems and improving the comfort of the ankle strap may reduce the number of dropouts and missing data in clinical use and follow-up studies.
Cost–effectiveness of ensartinib for patients with anaplastic lymphoma kinase-positive non-small-cell lung cancer in China
Authors: Zhang Xudong , Fang Pingping , Su Guangquan , Gui Shuangying , Shen Aizong 
Published: June 2022

Background:
Crizotinib and ensartinib improved survival in patients with
ALK
arrangement non-small-cell lung cancer (NSCLC); however, the economic outcomes of using ensartinib versus crizotinib are still unclear.
Aim:
The objective of this study was to assess the cost–effectiveness of ensartinib versus crizotinib for
ALK
-positive NSCLC patients from the perspective of China's healthcare system.
Methods:
A partitioned survival model with three health states (stable, progressive and death) was developed. Survival data were obtained from published eXalt3 clinical trials of ensartinib verses crizotinib for patients with anaplastic lymphoma kinase-positive non-small-cell lung cancer. Parametric models were used to extrapolate outcomes beyond the trial period. The drug cost comes from the local drug procurement platform. Other costs and utility values were obtained from published literature, and one-way and probabilistic sensitivity analyses were carried out to determine the robustness of the model outcomes.
Results:
In the whole life cycle, the average annual cost of ensatinib was US$77,636.63, and utility value was 5.5 quality adjusted life years (QALYs). Patients receiving crizotinib had 3.315QALYs and US$32,935.88 costs over the same time horizon. The incremental cost utility ratio is US$19,810.55/QALYs. In 2021, the per capita GDP of China is US$12,721.33, and the incremental cost utility is lower than the threshold of willingness to pay US$38,163.99.
Conclusion:
Compared with crizotinib, ensatinib is economical in the treatment of
ALK
-positive NSCLC and should be promoted.
La segregación escolar en familias inmigradas: clase social y estatus migratorio
Authors: Lubián Carlos , Langa Rosado Delia 
Published: June 2022

Partimos de un estudio más amplio que analiza los factores residenciales y de gestión educativa que explican la segregación escolar étnica en el sistema educativo español. Nos centramos en este artículo en el papel de las familias como agentes, analizando sus estrategias de elección de centro mediante una metodología cualitativa de entrevistas en profundidad en la ciudad de Granada. Los resultados dibujan un escenario complejo que muestra: 1) Estrategias heterogéneas marcadas por la intersección entre clase, origen y etnia; 2) La importancia de factores propios del estatus migratorio en la toma de decisiones, como el capital étnico y el proyecto migratorio; 3) La influencia de factores contextuales, entre los que destaca una elevada movilidad escolar. Concluimos reflexionando sobre la capacidad de las familias migrantes para activar estrategias escolares situadas en procesos de segregación de los que no es fácil escapar.
Reviewing Regulations on Rights of Persons with Disabilities in Vietnam to Advance the Implementation of the Convention on the Rights of People with Disabilities
Authors: Nghi Le Dinh 
Published: June 2022

Viet Nam signed the International Convention on the Rights of Persons with Disabilities in 2007 and ratified it in 2014, recognizing all of the rights of PWDs included in the Convention without reservation. In addition, as a result of member states’ commitment, policies and legislation related to PWDs have been adjusted in order to adapt to socioeconomic developments in order to guarantee that PWDs can completely participate fully in society. However, there are relevant legal gaps between the 2010 Law on Persons with Disabilities and the International Convention on the Rights of Persons with Disabilities, particularly, in terms of obstacles, problems, and challenges in implementing rights to education, health care, and vocational training. Through analyzing the barriers, challenges, and legal gaps compared to the International Convention on the Rights of Persons with Disabilities, the article proposes some recommendations to ensure that Viet Nam fully implements its commitments under the Convention.