bluuebunny/crossref_metadata_2025_split huggingface dataset:
Azole-Pyrimidine Hybrid Anticancer Agents: A Review of Molecular Structure,
Structure Activity Relationship, and Molecular Docking
Authors: Eze Chinweike Cosmas , Ezeokonkwo Amarachukwu Mercy , Ugwu Izuchukwu David , Eze Uchenna Florence , Onyeyilim Ebuka Leonard , Attah Izuchi Solomon , Okonkwo Ifeoma Vivian 
Published: March 2022

Abstract:
Cancer has emerged as one of the leading causes of deaths globally partly due to the steady rise in anticancer drug resistance. Pyrimidine and pyrimidine-fused heterocycles are some of the privileged scaffolds in medicine, as they possess diverse biological properties. Pyrimidines containing azole nucleus possesses inestimable anticancer potency and has enormous potential to conduct the regulation of cellular pathways for selective anticancer activity. The present review outlines the molecular structure of pyrimidine-fused azoles with significant anticancer activity. The structure activity relationship and molecular docking studies have also been discussed. The current review is the first complete compilation of significant literature on the proposed topic from 2016 to 2020. The information contained in this review offers a useful insight to chemists in the design of new and potent anticancer azole-pyrimidine analogues.
Recent Applications and Synthesis Techniques of Graphene
Authors: Makwana Manisha V. , Patel Ajay M. 
Published: March 2022

Abstract:
Because of major developments in fundamental research and industrial applications, graphene's
mass and low-cost production have become a vital step toward its real-world uses. Graphene, a
one-atom-thick carbon crystal with a unique set of physical and chemical properties comprising extreme
mechanical behaviour with excellent electrical and thermal conductivity, is emerging as a serious
contender to replace many traditional materials in a variety of applications. Graphene has the potential
to improve the performance, functionality, and durability of a broad spectrum of applications,
but its commercialization will require more study. Applications and emerging techniques for the production
of graphene have been investigated in this study. To increase the use of graphene, its current
limitations must be solved expeditiously to improve its performance. In terms of applications, graphene's
advantages have expanded its use in both electroanalytical and electrochemical sensors. This
review paper highlights the most important experimental successes in graphene material manufacturing,
as well as its changing characteristics in connection to smart applications. We explore how graphene
may be successfully integrated directly into devices, enabling a wide range of applications such
as transparent electrodes, photovoltaics, thermoelectricity, 3D printing, and applications in biomedical
and bioimaging devices. Graphene's prospects are also explored and discussed.
Nanostructured Material and its Application in Membrane Separation
Technology
Authors: Ersoz Tugrul Talha , Ersoz Mustafa 
Published: March 2022

Abstract:
Nanomaterials are classified with their at least one dimension in the range of 1-100 nm, which offers new innovative solutions for membrane development. These are included as nanosized adsorbents, nanomembranes, nanocomposites, photocatalysts, nanotubes, nanoclays, etc. Nanomaterials are promising, exceptional properties for one of the opportunity is to prevent the global water crisis with their extraordinary performance as their usage for membrane development, particularly for water treatment process. Nanomaterial based membranes that include nanoparticles, nanofibers, 2D layered materials, and their nanostructured composites which provide superior permeation characteristics besides their antifouling, antibacterial and photodegradation properties. They are enable for providing the extraordinary properties to be used as ultrafast and ultimately selective membranes for water purification. In this review, recently developed nanomaterial based membranes and their applications for water treatment process were summarized. The main attention is given to the nanomaterial based membrane structure design. The variety in terms of constituent structure and alterations provide nanomaterial based membranes which will be expected to be a perfect separation membrane in the future.
High-Performance Fault Classification Based on Feature Importance
Ranking-XgBoost Approach with Feature Selection of Redundant Sensor
Data
Authors: Tian Jilun , Jiang Yuchen , Zhang Jiusi , Wang Zhenhua , Rodríguez-Andina Juan J. , Luo Hao 
Published: March 2022

Background:
Through the analysis of the relevant data of industrial equipment, faults diagnosis is helpful for system maintenance and reducing economic losses.

Objective:
The aim is to reduce the influence of irrelevant features and efficiently train the FIR-XgBoost model.

Methods:
An Extreme Gradient Boosting (XgBoost) approach based on feature importance ranking (FIR) is proposed in this article for fault classification of high- dimensional complex industrial systems. Gini index is applied to rank the importance of the features, and feature selection is implemented based on their position in the ranking.

Results:
The dataset from the PHM 2021 data challenge, which is related to the process of fuse thermal imaging, is used. The classification accuracy of FIR-XgBoost reaches 99.63%, outperforming other existing algorithms. A case study is presented to show that excellent fault classification can be achieved through ensemble learning and feature selection.

Conclusion:
Data-driven machine learning methods are proposed for solving high-dimensional fault classification problems on the dataset of the PHM2021 Data Challenge. An FIR-XgBoost method is proposed, the core of which is to retain important features and to reduce redundancy of sensor data. Consequently, feature selection based on FIR has better interpretability than other algorithms. Furthermore, the FIR- XgBoost algorithm retaining the 50 most important features achieves the best fault classification performance among the compared algorithms and can be implemented in specific industrial processes.
The Role of Herbs Supplementation in Modulating Injury-induced
Inflammatory Response in Skeletal Muscle: A Systematic Review
Authors: Deasy Andani Gusti Ayu Sinta , Lesmana Ronny , Pratiwi Yuni Susanti 
Published: March 2022

Introduction:
One of the most frequent sports-relatedinjuries, skeletal muscle injury requires
special concern considering its great implication for athletes. Inflammation is a key component
of muscle repair once it has been damaged. However, failure to relieve an increased inflammatory
response disrupts the healing process and results in muscle atrophy. Current treatment for muscle injury
has not given promising outcomes for muscle regeneration. Moreover, the administration of
NSAIDs has many negative effects on muscle healing. Various approaches have been attempted in the
search for the best treatment for muscle injuries, including the use of herbs.

Objective:
This paper aims to review some advantages of herbal supplementation to optimize muscle
healing through various mechanisms related to inflammation.

Method:
This study was conducted based on some references from PubMed and Google Scholar
analyzed by applying PRISMA protocol to conclude.

Results and Discussion:
We surveyed several herbs that have been previously studied for their constituents
and bioactivity in modulating inflammatory response. Crocus sativus L. (Saffron) has been
proven to reduce ROS production and inhibit COX activity equal to diclofenac. Curcuma longa and
nutmeg also provide anti-inflammatory effects by decreasing inflammatory mediators, such as IL-1,
IL-6, and TNF-α. Curcuma longa and Radix astragali have been demonstrated to inhibit NF-κB, resulting
in a reduction in inflammatory response. In addition, nutmeg, tea polyphenol, and astaxanthin
are also beneficial in supporting muscle regeneration and preventing muscle atrophy.

Conclusion:
Some herbs are potentially beneficial to optimize the healing process of muscle injury by
modulating inflammatory mediators’ expression and promoting muscle regeneration.
Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events by Using Patient Self-reported Data in a Digital Health App: Statistical Evaluation and Machine Learning Approach
Authors: Chmiel Francis P , Burns Dan K , Pickering John Brian , Blythin Alison , Wilkinson Thomas MA , Boniface Michael J 
Published: March 2022

Background
Self-reporting digital apps provide a way of remotely monitoring and managing patients with chronic conditions in the community. Leveraging the data collected by these apps in prognostic models could provide increased personalization of care and reduce the burden of care for people who live with chronic conditions. This study evaluated the predictive ability of prognostic models for the prediction of acute exacerbation events in people with chronic obstructive pulmonary disease by using data self-reported to a digital health app.

Objective
The aim of this study was to evaluate if data self-reported to a digital health app can be used to predict acute exacerbation events in the near future.

Methods
This is a retrospective study evaluating the use of symptom and chronic obstructive pulmonary disease assessment test data self-reported to a digital health app (myCOPD) in predicting acute exacerbation events. We include data from 2374 patients who made 68,139 self-reports. We evaluated the degree to which the different variables self-reported to the app are predictive of exacerbation events and developed both heuristic and machine learning models to predict whether the patient will report an exacerbation event within 3 days of self-reporting to the app. The model’s predictive ability was evaluated based on self-reports from an independent set of patients.

Results
Users self-reported symptoms, and standard chronic obstructive pulmonary disease assessment tests displayed correlation with future exacerbation events. Both a baseline model (area under the receiver operating characteristic curve [AUROC] 0.655, 95% CI 0.689-0.676) and a machine learning model (AUROC 0.727, 95% CI 0.720-0.735) showed moderate ability in predicting exacerbation events, occurring within 3 days of a given self-report. Although the baseline model obtained a fixed sensitivity and specificity of 0.551 (95% CI 0.508-0.596) and 0.759 (95% CI 0.752-0.767) respectively, the sensitivity and specificity of the machine learning model can be tuned by dichotomizing the continuous predictions it provides with different thresholds.

Conclusions
Data self-reported to health care apps designed to remotely monitor patients with chronic obstructive pulmonary disease can be used to predict acute exacerbation events with moderate performance. This could increase personalization of care by allowing preemptive action to be taken to mitigate the risk of future exacerbation events.
Effects of a Nurse-Led Telehealth Self-care Promotion Program on the Quality of Life of Community-Dwelling Older Adults: Systematic Review and Meta-analysis
Authors: Wong Arkers Kwan Ching , Bayuo Jonathan , Wong Frances Kam Yuet , Yuen Wing Shan , Lee Athena Yin Lam , Chang Pui King , Lai Jojo Tsz Chui 
Published: March 2022

Background
In recent years, telehealth has become a common channel for health care professionals to use to promote health and provide distance care. COVID-19 has further fostered the widespread use of this new technology, which can improve access to care while protecting the community from exposure to infection by direct personal contact, and reduce the time and cost of traveling for both health care users and providers. This is especially true for community-dwelling older adults who have multiple chronic diseases and require frequent hospital visits. Nurses are globally recognized as health care professionals who provide effective community-based care to older adults, facilitating their desire to age in place. However, to date, it is unclear whether the use of telehealth can facilitate their work of promoting self-care to community-dwelling older adults.

Objective
This review aims to summarize findings from randomized controlled trials on the effect of nurse-led telehealth self-care promotion programs compared with the usual on-site or face-to-face services on the quality of life (QoL), self-efficacy, depression, and hospital admissions among community-dwelling older adults.

Methods
A search of 6 major databases was undertaken of relevant studies published from May 2011 to April 2021. Standardized mean differences (SMDs) and their 95% CIs were calculated from postintervention outcomes for continuous data, while the odds ratio was obtained for dichotomous data using the Mantel–Haenszel test.

Results
From 1173 possible publications, 13 trials involving a total of 4097 participants were included in this meta-analysis. Compared with the control groups, the intervention groups of community-dwelling older adults significantly improved in overall QoL (SMD 0.12; 95% CI 0.03 to 0.20; P=.006; I2=21%), self-efficacy (SMD 0.19; 95% CI 0.08 to 0.30; P<.001; I2=0%), and depression level (SMD –0.22; 95% CI –0.36 to –0.08; P=.003; I2=89%).

Conclusions
This meta-analysis suggests that employing telehealth in nurse-led self-care promotion programs may have a positive impact on older adults, although more studies are needed to strengthen the evidence base, particularly regarding organization and delivery.

Trial Registration
PROSPERO (Prospective International Register of Systematic Reviews) CRD42021257299; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=257299
Factors Affecting Physicians’ Credibility on Twitter When Sharing Health Information: Online Experimental Study
Authors: Ferrell DaJuan , Campos-Castillo Celeste 
Published: March 2022

Background
Largely absent from research on how users appraise the credibility of professionals as sources for the information they find on social media is work investigating factors shaping credibility within a specific profession, such as physicians.

Objective
We address debates about how physicians can show their credibility on social media depending on whether they employ a formal or casual appearance in their profile picture. Using prominence-interpretation theory, we posit that formal appearance will affect perceived credibility based on users' social context—specifically, whether they have a regular health care provider.

Methods
For this experiment, we recruited 205 social media users using Amazon Mechanical Turk. We asked participants if they had a regular health care provider and then randomly assigned them to read 1 of 3 Twitter posts that varied only in the profile picture of the physician offering health advice. Next, we tasked participants with assessing the credibility of the physician and their likelihood of engaging with the tweet and the physician on Twitter. We used path analysis to assess whether participants having a regular health care provider impacted how the profile picture affected their ratings of the physician’s credibility and their likelihood to engage with the tweet and physician on Twitter.

Results
We found that the profile picture of a physician posting health advice in either formal or casual attire did not elicit significant differences in credibility, with ratings comparable to those having no profile image. Among participants assigned the formal appearance condition, those with a regular provider rated the physician higher on a credibility than those without, which led to stronger intentions to engage with the tweet and physician.

Conclusions
The findings add to existing research by showing how the social context of information seeking on social media shapes the credibility of a given professional. Practical implications for professionals engaging with the public on social media and combating false information include moving past debates about casual versus formal appearances and toward identifying ways to segment audiences based on factors like their backgrounds (eg, experiences with health care providers).
A Web-Based Stratified Stepped Care Mental Health Platform (TourHeart): Semistructured Interviews With Stakeholders
Authors: Tsoi Emily W S , Mak Winnie W S , Ho Connie Y Y , Yeung Gladys T Y 
Published: March 2022

Background
TourHeart, a web-based stratified stepped care mental health platform, is a one-stop solution that integrates psychoeducation and other well-being promotional tools for mental health promotion and mental illness prevention and evidence-based, low-intensity psychological interventions for the treatment of people with anxiety and depressive symptoms. Instead of focusing only on symptom reduction, the platform aims to be person-centered and recovery-oriented, and continual feedback from stakeholders is sought. Understanding the perspectives of users and service providers enables platform developers to fine-tune both the design and content of the services for enhanced service personalization and personal recovery.

Objective
This qualitative study evaluated a web-based mental health platform by incorporating the perspectives of both users and service providers who administered the platform and provided coaching services. The platform included both web-based and offline services targeting adults along the mental health spectrum based on the two-continua model of mental health and mental illness.

Methods
Interview questions were designed based on the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework (RE-AIM). Views on offline services, the design of the web-based platform, user experience, and the contents of the platform were explored using semistructured interviews. A total of 27 service users and 22 service providers were recruited using purposive criterion sampling. A hybrid thematic analysis was performed to identify salient aspects of users’ and providers’ experiences with and views of the platform.

Results
Totally, 3 broad themes (namely, the quality of the platform, drivers for platform use, and coaching services) emerged from the interview data that highlighted users’ views of and experiences with the web-based platform. The platform’s general esthetics, operations, and contents were found to be critical features and drivers for continued use. Although coaching services were indispensable, participants preferred the autonomy and anonymity associated with web-based mental health services.

Conclusions
This study highlights the importance of web-based mental health services being easy to navigate and understand, being user-centric, and providing adequate guidance in self-help. It also confirms existing design standards and recommendations and suggests that more rigorous, iterative user experience research and robust evaluation should be conducted in the future adaptation of web-based stratified stepped care services, so that they can be more personalized and better promote personal recovery.
Formulation and Characterization Transdermal Patches of Meloxicam
Authors: M Suhaitamy , H Bangun , P.A.Z Hasibuan 
Published: March 2022

Objective: Meloxicam is a non-steroidal anti-inflammatory drug (NSAID), an enolic acid derivative that inhibits the cyclooxygenase-2 (COX-2) enzyme.and is usually used by the oral route in the treatment of a wide variety of rheumatic diseases, including rheumatoid arthritis (RA), osteoarthritis, low back pain and various other joint diseases. However, when given, meloxicam is given orally, causing gastrointestinal side effects such as bleeding, gastric ulcers, nausea and vomiting, which can occur at any time when given orally.
Methods: Transdermal patches of meloxicam were made with a mixture of hydroxypropyl methylcellulose and polyvinylpyrrolidone with various concentrations of enhancers (propylene glycol), that were (F1 10%), (F2 20%), and (F3 30%). Transdermal patches of meloxicam are prepared using the solvent evaporation method. The making of transdermal patches meloxicam was evaluated for various parameters, was evaluated physchochemical, organoleptic, thickness, weight uniformity, folding resistance, moisture content, and swelling properties.
Results: Transdermal patches of meloxicam from three formulas were yellow patches, odorless, slightly wet and flat surface, thickness between 0.0225±0.0005 to 0.0249±0.0001 cm, weight uniformity between 322.56±2.22 to 368.98±1.42 mg, folding resistance between 355.00±3.00 to 386.33±1.53, moisture content between 2.889±0.003 to 3.654±0.009% and swelling between 2.86 up to 3.24%.
Conclusion: The results of the study concluded that the meloxicam transdermal patch preparation had good characteristics, the results obtained met the requirements of a transdermal patch, namely having a flat and slightly wet shape and surface, having uniform weight, thickness, folding resistance and having good patch development power.
The Evaluation of Rationality of Medicines Use in Terms of Prescribing Indicators At The Health Center (Puskesmas) Serdang Bedagai District In 2019
Authors: Sasmita Irawati , K Khairunnisa , Aminah Dalimunthe 
Published: March 2022

Objective: The aim of this study was to determine the effectiveness of aloe vera gel in inhibiting skin aging.
Method: The powder was extracted with ethanol in macerated method. Extract ethanol were analyzed for antioxidant activity with DPPH assay. Aloe vera extract that has been obtained then made variations of different extract concentrations namely 3% and 6% based on the orientation of researchers to determine the concentration, then in the formulation into gel. Anti-aging activity testing using skin analyzer tools with moisture parameters, collagen levels, pore, sensitivity before and after exposure to UV A and UV B rays.
Results: IC50 value of aloe vera extract obtained by 138.65 ppm. Based on the classification of antioxidant activity shows that IC50 value of aloe vera extract has moderate antioxidants that range from 101 to 250 ppm. The percentage of moisture content in week I to week IV, F3 has an increase of 26% i.e week 1 is 4% and week IV is 30%. The percentage of collagen levels in week I to week IV, F3 has an increase of 50% i.e week 1 is 30% and week IV is 80%. Increase in the percentage of elasticity in the week I to week IV. F3 had the highest increase of 25%, in week 1 it was 50% and week IV was 75%. A large decrease in pores occurs in weeks I through week IV. F3 had the highest decrease of 0.06 mm, in the week I was 0.07 mm and week IV was 0.01 mm.
Conclusion: Aloe vera extract gel preparation has activity as a rejuvenation agent at a concentration of 6%.
Clinical Signs and Pathogenesis of Trypanosomal Infection in Human and Animals
Authors: Ahmad Rufa’i Fatihu , Ibrahim Zakari Abdullahi , Umar Atikat , Shuaibu Musayyiba , Alhaji Sani Ali 
Published: March 2022

Trypanosomiasis is a chronic disease which affects both human and animals with high morbidity rate within months after exposure, particularly when poor nutrition or other factors contribute to debilitation. The disease has been a major threat to Human and public health concern and also has contributed negatively to food security in Nigeria. Trypanosomes are haemoflagellated parasites that suppress the host immune system through antigenic variation causing serious illness in man and direct losses in meat production and milk yield in animals leading to severe pathogenesis that result to death . The clinical signs of trypanosomisis have been reported as unnoticed, chronic and acute which can easily lead to death, while the pathogenesis are severe and diverse. A vast majority of human and ruminant animal such as cattle, sheep and goats can be infected without clinical signs. In this paper, we documented some of the major pathogenesis of trypanosomiasis that are leading cause of death and they includes Aneamia, Immunodepression, Immunosuppression, Myocarditis, oedema, loss of conditions, coma as well as infection of various organs and tissues. The paper recommend that further work on pathogenic mechanisms of trypanosomiasis need to be carried out so as to notice the exact clinical sign of the disease which will help towards controlling the disease.