bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Computational Screening Tools and Nanotechnology for
Enhanced Drug Synergism in Cancer Therapy
Authors: Ninh Thu Thi Kim , Tran Tuan Hiep , F. Huang Chi-Ying , Nguyen Chien Ngoc 
Published: April 2022

Background:
Chemoresistance continues to limit the recovery of patients with cancer. New
strategies, such as combination therapy or nanotechnology, can be further improved.

Objective:
In this study, we applied the computational strategy by exploiting two databases (CellMiner
and Prism) to sort out the cell lines sensitive to both anti-cancer drugs, paclitaxel (PTX) and dihydroartemisinin
(DHA); both of which are potentially synergistic in several cell lines.

Methods:
The combination of PTX and DHA was screened at different ratios to select the optimal ratio
that could inhibit lung adenocarcinoma NCI-H23 the most. To further enhance therapeutic efficacy,
these combinations of drugs were incorporated into a nanosystem.

Results:
At a PTX:DHA ratio of 1:2 (w/w), the combined drugs obtained the best combination index
(0.84), indicating a synergistic effect. The drug-loaded nanoparticles sized at 135 nm with the drug loading
capacity of 15.5 ± 1.34 and 13.8 ± 0.56 corresponding to DHA and PTX, respectively, were used.
The nano-sized particles improved drug internalization into the cells, resulting in the significant inhibition
of cell growth at all tested concentrations (p < 0.001). Additionally, α-tubulin aggregation, DNA
damage suggested the molecular mechanism behind cell death upon PTX-DHA-loaded nanoparticle
treatment. Moreover, the rate of apoptosis increased from approximately 5% to more than 20%, and the
expression of apoptotic proteins changed 4 and 3 folds corresponding to p-53 and Bcl-2, respectively.

Conclusion:
This study was designed thoroughly by screening cell lines for the optimization of formulations.
This novel approach could pave the way for the selection of combined drugs for precise cancer
treatment.
Application of Analytical Tools and Techniques for Estimation of a Proton Pump Inhibitor (Esomeprazole Magnesium Trihydrate): A Comprehensive Review
Authors: Acharjya Sasmita Kumari , Dash Sanat Kumar , Chakraborty Atyurmila , Sahoo Mitali , Tripathy Satyanarayan , Tripathy Bimala , Deo Ramanath 
Published: April 2022

Abstract:The application of various sophisticated analytical tools and techniques is essential for estimating an active pharmaceutical ingredient present in either biofluids or pharmaceutical dosage forms. Reporting the multiple analytical methods used to quantify esomeprazole magnesium trihydrate, a proton pump inhibitor, is the ultimate goal of this review article. This article deals with a detailed discussion of different reported analytical procedures along with their pros and cons and their relevant criteria for quantifying the drug. Various analytical techniques like UV-Visible spectrophotometry, HPLC, HPTLC, hyphenated techniques, etc., are developed to assess the esomeprazole magnesium trihydrate in bulk materials, different pharmaceutical formulations, and biological matrices. Literature survey confirmed that the hyphenated techniques and chromatographic techniques are the best tools for biological matrices. Spectroscopic methods like UV and visible techniques are widely used for pharmaceutical matrices. All of the reported methods are accurate, precise, costeffective, and sensitive.
GC-FID Quantification of N, N-Dimethyl Aminopropyl Chloride, a Genotoxic
Impurity, in Imipramine Hydrochloride and Clomipramine Hydrochloride
Authors: Prakash M. Shet , Chinna Panga , Ramakrishna Ramesha Andagar , Sreenivasa Swamy , Singh Yashbir 
Published: April 2022

Background:
Early antidepressant Active Pharmaceutical Ingredients (API) like Imipramine hydrochloride and Clomipramine hydrochloride have not been assessed for Genotoxic Impurities (GTI) as per ICHM7.

Objective:
The main aim of the study was to develop a new simple and sensitive method for the determination of genotoxic impurities in Imipramine hydrochloride and Clomipramine hydrochloride active pharmaceuticals ingrediens.

Methods:
A simple, selective, and sensitive gas chromatography (GC) liquid injector method was developed for the quantitative determination of N, N-Dimethyl amino propyl chloride (DAPC) in API s. This method provided an excellent sensitivity and a typical target analyte level of 4.0 ppm. The DPAC content in the sample was analyzed on ZB-624, 30m x 0.53mm x 3.0μm column interfaced with a flame ionization detector (FID). The developed method was validated as per ICH guidelines.

Results:
The validated method showed good linearity over the concentration range of LOQ to 120% (1.18ppm to 4.8ppm) with a correlation coefficient of 0.9986. Limit of detection (LOD) and limit of quantitation (LOQ) were found to be 0.36 ppm and 1.18 ppm, respectively. This method showed high sample recovery (>90.0%).

Conclusion:
The developed method was a simple and sensitive gas chromatography liquid injector method. This method was validated as per ICH guidelines and could be very useful for the determination of a potential genotoxic impurity (DAPC) in imipramine hydrochloride and clomipramine hydrochloride active drug substance quality checking and ensuring safety of the patients.
Drug Targeting and Conventional Treatment of Multiple Myeloma: Analysis
of Target-specific Nanotherapies in Disease Models
Authors: Campbell Robert B. , Tran Christina , Park Eden , Flores Pedro L. Rodriguez 
Published: April 2022

Abstract:
Extensive studies have explored potential therapies against multiple myeloma (MM), whether
in hospitals, universities, or in private institutional settings. Scientists continue to study the mechanism(s)
underlying the disease as a basis for the development of more effective treatment options. There are
many therapeutic agents and treatment regimens used for multiple myeloma. Unfortunately, no cure or
definitive treatment options exist. The goal of treatment is to maintain the patient in remission for as long
as possible. Therapeutic agents used in combination can effectively maintain patients in remission. While
these therapies have increased patient survival, a significant number of patients relapse. The off-target
toxicity and resistance exhibited by target cells remain a challenge for existing approaches. Ongoing efforts
to understand the biology of the disease offer the greatest chance to improve therapeutic options.
Nanoparticles (targeted drug delivery systems) offer new hope and directions for therapy. This review
summarizes FDA-approved agents for the treatment of MM, highlights the clinical barriers to treatment,
including adverse side effects normally associated with the use of conventional agents, and describes how
nanotherapeutics have overcome barriers to impede conventional treatments.
An Investigation on Self-Medication Practice During the COVID-19 Pandemic
Among the Indian Population
Authors: Kamboj Rohit , Kamboj Sweta , Joginath Anuj , Guarve Kumar , Kriplani Priyanka , Kumar Sachin , Guatam Surya Prakash 
Published: April 2022

Background:
Self-medication has both negative and beneficial effects on people's
health, as the COVID-19 epidemic has demonstrated. The goal of the study is to look into the epidemiology
of self-medicated medications used for respiratory symptoms, as a COVID-19 preventive,
for its symptoms, or after a positive COVID-19 test, and to see how symptom relief is viewed
in India, as well as what demographic factors encourage self-medication.

Methods:
Using a trial version of Qualtrics Core XM software to prototype 24 surveys, a webbased
questionnaire was built, tested, and disseminated in several Indian states.

Result:
In the survey, 519 candidates participated. 43% of respondents reported that all symptoms
were relieved. However, just 39% of all respondents took the government-recommended
Ayushkwath, and 56% took a vitamin C tablet to improve immunity. Aspirin, ibuprofen, and
azithromycin were shown to be the most commonly used medications for various symptoms, including
fever, weariness, cough, sneezing, loose motion, and immune boost, and breathing problems.

Conclusion:
Self-medication was common, with many people taking drugs for which there was little
scientific evidence. The frequency of self-medication was connected to age, region, and employment
position.
Advances in the Application of Induced Pluripotent Stem Cells in Alzheimer’s Disease and Parkinson's Disease
Authors: Xu Yiran , Wang Shuxia , Zhu Ping 
Published: April 2022

Abstract:Induced pluripotent stem cells (iPSCs) are a type of pluripotent stem cells induced by somatic cells. It was found that differentiated cells could be reprogrammed to a pluripotent state by the expression of the four transcription factors such as Oct3/4, Sox2, c-Myc, and Klf4. This technology can be applied to reprogramme the patient cells into iPSCs, which further be induced into research-required cells or tissues. Nowadays, a great number of reprogramming methods and various types of somatic cells can be used to produce iPSCs. The advancement of this technology provides a promising pathway to disease models building, drug development, and the corresponding cell-based therapy. Alzheimer's diseases (AD) and Parkinson's diseases (PD) are complex diseases affected by many factors, including genetic and environmental factors. Until now, there are no effective treatments to reverse these diseases because the pathogenesis of these complex diseases is still not well understood. One important reason is that the existing disease model cannot fully recapitulate the pathologies of these multifactorial associated diseases and iPSCs have the potential to resolve this difficulty. In this review, we discuss the application progress of iPSCs in AD and PD, including disease modeling, drug development, and cellbased therapies.
Mass Transfer of Olanzapine in the Liquid Lamellar Phases Formed by the Self-assembly of Glycerol Monooleate (GMO):
Experimental Data and Mathematical Modeling
Authors: Khanali Mehdi , Bagheri Gita 
Published: April 2022

Aims:
The present study aimed to optimise the formulation of Olanzapine
(OZ)-loaded liquid lamellar phase by using Response Surface Methodology (RSM).

Background:
In this study, poly (2-ethyl-2-oxazoline) (PEOZ) was selected to modify
liquid lamellar phases. The OZ was released from the phases mainly through swelling
and diffusion-controlled mechanism simultaneously.

Objective:
Additionally, two types of mathematical models, based on the lumped and
diffusion approaches, were presented for the diffusional release of OZ from the liquid
lamellar phases, the second of which was solved with an analytical solution. The controlled
release profiles of the models were compared with the in vitro experimental release
profiles.

Method:
Further, the Box-Behnken experimental design was employed to design the
liquid lamellar phase with the three factors, including the weight ratio of water/GMO
(w/w) (X1) and PEOZ/GMO (w/w) (X2), and the percentage of OZ (X3). The liquid lamellar
phases were prepared based on the top-down method, followed by fragmentation
by sonication. Furthermore, the diffusion coefficients of the liquid lamellar phases were
calculated, and the effects of variables were evaluated on particle size and diffusion coefficient,
as well as the constant of the lumped model.

Result:
The results revealed an increase in particle size following an enhancement in water
level in the liquid lamellar phases, as well as less aggregation with the addition of PEOZ.

Conclusion:
The generated model was validated by comparing the experimental data and
predicted model values graphically, the results of which represented compatibility between
the lumped model and experimental data.
Improved SinGAN for Single-Sample Airport Runway Destruction Image
Generation
Authors: Wang JinYu , Zhang ChangGong , Yang HaiTao 
Published: April 2022

Aims:
To solve the problem of difficult acquisition of airport runway destruction image
data.

Objectives:
This paper introduces SinGAN, a single-sample generative adversarial network
algorithm.

Methods:
To address the shortcomings of SinGAN in image realism and diversity generation, an
improved algorithm based on the combination of Gaussian error linear unit GELU and efficient
channel attention mechanism ECANet is proposed

Results:
Experiments show that its generated image results are subjectively better than SinGAN
and its lightweight algorithm ConSinGAN, and the model can obtain an effective balance in both
quality and diversity of image generation.

Conclusion:
The algorithm effect is also verified using three objective evaluation metrics, and the
results show that the method in this paper effectively improves the generation effect compared
with SinGAN, in which the SIFID metric is reduced by 46.67%.
mHealth Apps for Musculoskeletal Rehabilitation: Systematic Search in App Stores and Content Analysis
Authors: Ryan Shíofra , Ní Chasaide Noirín , O' Hanrahan Shane , Corcoran Darragh , Caulfield Brian , Argent Rob 
Published: April 2022

Background
The number of mobile health (mHealth) apps released for musculoskeletal (MSK) injury treatment and self-management with home exercise programs (HEPs) has risen rapidly in recent years as digital health interventions are explored and researched in more detail. As this number grows, it is becoming increasingly difficult for users to navigate the market and select the most appropriate app for their use case. It is also unclear what features the developers of these apps are harnessing to support patient self-management and how they fit into clinical care pathways.

Objective
The objective of this study was to scope the current market of mHealth apps for MSK rehabilitation and to report on their features, claims, evidence base, and functionalities.

Methods
A cross-sectional study of apps for MSK rehabilitation was performed across the iTunes App Store and Google Play Store. Four search terms were used, namely, physiotherapy rehabilitation, physical therapy rehabilitation, rehabilitation exercise, and therapeutic exercise to identify apps, which were then cross-referenced against set selection criteria by 4 reviewers. Each reviewer, where possible, downloaded the app and accessed supplementary literature available on the product to assist in data extraction.

Results
A total of 1322 apps were identified. After applying the inclusion and exclusion criteria and removing duplicates, 144 apps were included in the study. Over half (n=81, 56.3%) of the included apps had been released within the past 3 years. Three quarters (n=107, 74.3%) of the apps made no reference to evidence supporting the design or efficacy of the app, with only 11.1% (n=16) providing direct citations to research. Most of the apps did utilize exercise pictures (n=138, 95.8%) or videos (n=97, 67.4%); however, comparatively few harnessed additional features to encourage engagement and support self-management, such as an adherence log (n=66, 45.8%), communication portal (n=32, 22.2%), patient-reported outcome capture (n=36, 25%), or direct feedback (n=57, 39.6%). Of note and concern, many of these apps prescribed generic exercises (n=93, 64.6%) in the absence of individualized input to the user, with few providing specific patient education (n=43, 34%) and safety advice or disclaimers (n=38, 26.4%).

Conclusions
The cohort of apps included in this study contained a large heterogeneity of features, so it is difficult for users to identify the most appropriate or effective app. Many apps are missing the opportunity to offer key features that could promote exercise adherence and encourage self-management in MSK rehabilitation. Furthermore, very few developers currently offering products on the market are providing evidence to support the design and efficacy of their technologies.
Improving Postoperative Care Through Mindfulness-Based and Isometric Exercise Training Interventions: Systematic Review
Authors: Reynolds Allie , Hamidian Jahromi Alireza 
Published: April 2022

Background
Mindfulness-based cognitive therapy and isometric exercise training (IET) interventions are relatively new approaches to maintain physical functioning, alleviate pain, prevent joint stiffness and muscular atrophy, and positively influence other postoperative care outcomes.

Objective
The aim of this review was to identify the impacts of mindfulness-based interventions (MBIs) and IET and, more specifically, their combination, which have not previously been assessed to our knowledge.

Methods
Studies were identified by searching the PubMed and Cochrane databases within the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) algorithm format and using relevant keyword combinations, which resulted in 39 studies meeting the inclusion criteria.

Results
In general, MBI was shown to positively impact both pain relief and physical functioning, while IET positively impacted physical functioning. Numerous other benefits, including improved quality of life and decreased postoperative opioid use, were also described from both interventions; however, further research is needed to confirm these findings as well as to determine other possible benefits. No studies were found that combined MBI and IET.

Conclusions
Despite many positive results from each individual intervention, there is a lack of information about how the combination of MBI and IET might impact postoperative care. The combination of these two interventions might prove to be more effective than each individual intervention alone, and the findings from this review show that they could even be complementary. Going forward, research should be expanded to study the possible benefits of the combination of MBI and IET in postoperative care routines as well as other possible combinations.
Digital Scientific Platform for Independent Content in Neurology: Rigorous Quality Guideline Development and Implementation
Authors: Kantor Daniel , Farlow Martin , Ludolph Albert , Montaner Joan , Sankar Raman , Sawyer Jr Robert N , Stocchi Fabrizio , Lara Agnès , Clark Sarah , Deschet Karine , Ouyahia Loucif , Hadjiat Yacine 
Published: April 2022

Background
Digital communication has emerged as a major source of scientific and medical information for health care professionals. There is a need to set up an effective and reliable methodology to assess and monitor the quality of content that is published on the internet.

Objective
The aim of this project was to develop content quality guidelines for Neurodiem, an independent scientific information platform dedicated to neurology for health care professionals and neuroscientists. These content quality guidelines are intended to be used by (1) content providers as a framework to meet content quality standards and (2) reviewers as a tool for analyzing and scoring quality of content.

Methods
Specific scientific criteria were designed using a 5-point scale to measure the quality of curated and original content published on the website: for Summaries, (1) source reliability and topic relevance for neurologists, (2) structure, and (3) scientific and didactic value; for Congress highlights, (1) relevance of congress selection, (2) congress coverage based on the original program, and (3) scientific and didactic value of individual abstracts; for Expert points of view and talks, (1) credibility (authorship) and topic relevance for neurologists, (2) scientific and didactic value, and (3) reliability (references) and format. The criteria were utilized on a monthly basis and endorsed by an independent scientific committee of widely recognized medical experts in neurology.

Results
Summary content quality for the 3 domains (reliability and relevance, structure, and scientific and didactic value) increased in the second month after the implementation of the guidelines. The domain scientific and didactic value had a mean score of 8.20/10. Scores for the domains reliability and relevance (8-9/10) and structure (45-55/60) showed that the maintenance of these 2 quality items over time was more challenging. Talks (either in the format of interviews or slide deck–supported scientific presentations) and expert point of view demonstrated high quality after the implementation of the content quality guidelines that was maintained over time (15-25/25).

Conclusions
Our findings support that content quality guidelines provide both (1) a reliable framework for generating independent high-quality content that addresses the educational needs of neurologists and (2) are an objective evaluation tool for improving and maintaining scientific quality level. The use of these criteria and this scoring system could serve as a standard and reference to build an editorial strategy and review process for any medical news or platforms.
A Novel Framework for Mixed Reality–Based Control of Collaborative Robot: Development Study
Authors: Shahria Md Tanzil , Sunny Md Samiul Haque , Zarif Md Ishrak Islam , Khan Md Mahafuzur Rahaman , Modi Preet Parag , Ahamed Sheikh Iqbal , Rahman Mohammad H 
Published: April 2022

Background
Applications of robotics in daily life are becoming essential by creating new possibilities in different fields, especially in the collaborative environment. The potentials of collaborative robots are tremendous as they can work in the same workspace as humans. A framework employing a top-notch technology for collaborative robots will surely be worthwhile for further research.

Objective
This study aims to present the development of a novel framework for the collaborative robot using mixed reality.

Methods
The framework uses Unity and Unity Hub as a cross-platform gaming engine and project management tool to design the mixed reality interface and digital twin. It also uses the Windows Mixed Reality platform to show digital materials on holographic display and the Azure mixed reality services to capture and expose digital information. Eventually, it uses a holographic device (HoloLens 2) to execute the mixed reality–based collaborative system.

Results
A thorough experiment was conducted to validate the novel framework for mixed reality–based control of a collaborative robot. This framework was successfully applied to implement a collaborative system using a 5–degree of freedom robot (xArm-5) in a mixed reality environment. The framework was stable and worked smoothly throughout the collaborative session. Due to the distributed nature of cloud applications, there is a negligible latency between giving a command and the execution of the physical collaborative robot.

Conclusions
Opportunities for collaborative robots in telerehabilitation and teleoperation are vital as in any other field. The proposed framework was successfully applied in a collaborative session, and it can also be applied in other similar potential applications for robust and more promising performance.