bluuebunny/crossref_metadata_2025 huggingface dataset:
β-Artemether and Lumefantrine Dual Drug Loaded Lipid Nanoparticles:
Physicochemical Characterization, Pharmacokinetic Evaluation and
Biodistribution Study
Authors: Shakeel Kashif , Ahmad Farhan Jalees , Harwansh Ranjit Kumar , Rahman Mohammad Akhlaquer
Published: April 2022

Background: β-artemether (BAT) and lumefantrine (LFT) combination therapies are
well recognized for the treatment of malaria. However, the current conventional formulations have
several drawbacks.

Objective: The study aims to develop novel lipid nanoparticles (LNP) for efficient delivery of
BAT and LFT.

Methods: The LNP were prepared by solvent injection method and optimized by the Box-Behnken
experimental design to achieve the desired particle size, maximum entrapment efficiency (EE), and
percentage drug release. BAT and LFT in rat plasma were estimated by liquid chromatographytandem
mass spectrometry (LC-MS/MS).

Results: Freeze-dried LNP comprised of 78.74% (w/w) lipid, 15.74% (w/w) surfactant, 3.93%
(w/w) co-surfactant and 1.57% mannitol with respect to the total inactive components. Mean particle
size and zeta potential were found to be 140.22 ± 1.36 nm and -35.23 mv, respectively. EE was
80.60 ± 3.85% for BAT and 69.64 ± 2.63% for LFT. The optimized formulation exhibited a biphasic
release profile in phosphate buffer (pH 7.2). In vivo study revealed an increased bioavailability
of BAT and LFT from dual drug loaded LNP compared to the pure drug solution. Moreover, the
tissue distribution study confirmed the high uptake of both the drugs in the liver and spleen.

Conclusion: The study demonstrated the potential use of the developed formulation for oral administration
in the treatment of malaria.
Phytochemical and Pharmacological Overview of Triticum aestivum: An
Update
Authors: Singh Harjeet , Sharma Alok , Kaur Mandeep , Ahmed Suhail
Published: April 2022

Triticum aestivum Linn (commonly known as wheatgrass) is a perennial plant that belongs
to the family Gramineae having various medicinal and nutritional applications. Generally,
Triticum aestivum is utilized in southwest Asia as a curative agent to treat high blood pressure, cancers,
obesity, diabetes, gastritis, ulcers, pancreas, liver problems, asthma, eczema, hemorrhoids, skin
problems, etc. Numerous phytochemicals are present in this plant, including phenols, flavonoids,
vitamins, proteins, minerals, etc. Rutin and gallic acid are the main active constituents isolated from
Triticum aestivum and have been proven to possess notable anti-cancer, anti-ulcer, antiinflammatory,
antioxidant, and anti-arthritic activity. Pharmacological in vivo and in vitro studies
revealed that the extract possessed significant antioxidant, antiinflammatory, antioxidant, antiarthritic,
antiulcer, cytotoxicity, and antidiabetic activities. Triticum aestivum has been summarized and
discussed in a comprehensive and up-to-date review of its phytochemistry, pharmacology, and traditional
uses. This will facilitate further development of its therapeutic properties. To understand the
relationship between traditional uses and bioactivity, more in-depth studies are needed in the future.
Graphene-based Nanocomposites for Automotive and Off-highway
Vehicle Applications: A Review
Authors: Kandasamy Ramkumar
Published: April 2022

Abstract

Nanocomposites comprised of a polymer matrix and various types of nanosized fillers
have remained one of the most important engineering materials and continue to draw great interest
in the research community and industry. In particular, graphene in nanocomposites that possess high
thermal conductivity and excellent mechanical, electrical, and optical properties have turned out to
be promising fillers for making the next generation of advanced high-performance materials.
Though large-scale production of graphene-based nanocomposites is a bit challenging due to the
mechanical, functional, and interfacial properties of the graphene and polymer matrix under severe
loading conditions, the automotive and off-highway machinery industries are expected to utilize the
most modern composite materials, such as graphene-based nanocomposites, to create lighter,
stronger, safer, and more energy-efficient cars in the future. Graphene-based material strategies
have been investigated and demonstrated to be effective for structural applications in various industries,
including electronics, electromechanical, and energy systems. However, currently, there is only
limited research highlighting the specific knowledge available for design engineers and researchers
involved in providing lightweight but strong solutions using graphene-based materials for automotive
and off-highway vehicle applications.
The present review presents an overview of the latest studies that utilize graphene-based nanomaterials
and their composites in automotive and off-highway machinery applications. First, the paper
describes the concept of traditional composites used presently in the engineering industries by
considering its advantages and limitations. Then, it highlights the key benefits of using nanostructured
carbon materials, such as graphene, through some recent studies available in the literature.
Subsequently, it depicts the various mechanisms of integrating graphene as polymer reinforcements
within the composite materials based on the survey and their related modelling, designing, and
manufacturing capabilities suitable for the automotive and off-highway machinery industry. Finally,
it outlines the available experimental evidence for graphene-based composites. To lay the groundwork
for future work in this exciting area, the paper discusses the current challenges as well as future
prospects in the field.
Measurement and Analysis of Low-Frequency Radio Noise in a Typical
Southern China Area
Authors: Huang Luxi , Zhao Fan , Wang Xin , Chen Yingming , Feng Ping , Li Xiaohui , Li Shuanglin
Published: April 2022

Background:

External noise is a necessary factor for calculating the signal-to-noise
ratio and evaluating communication quality and is one of the important parameters when
designing low-frequency communication schemes or evaluating low-frequency signal quality.

Methods:

To study the radio noise distribution of each frequency point within the low-frequency
band from 40kHz to 80kHz in a typical Southern China region at different time periods, the test
team conducted a low-frequency radio noise test in Ziyang District, Yiyang City.

Results and Discussion:

The test data is analyzed and the results show that in this area, the radio
noise in the 40kHz to 80kHz frequency band changes significantly day and night. The noise
factors of most frequency points are in line with the predicted value given in the predicted value
of the Radio Noise Volume of Recommendation ITU-R P.372-10.

Conclusion:

However, the noise distributions of 50kHz, 54kHz, 60kHz, and 68.5kHz are
significantly higher than those of the predicted values.
Roles of GR Isoforms and Hsp90-binding Immunophilins in the Modulation
of Glucocorticoid Biological Responses
Authors: Galigniana Mario D. , Ciucci Sol M. , Mazaira Gisela I.
Published: April 2022

Glucocorticoid steroids play cardinal roles during the life span of an individual, modulating
almost all aspects of the physiology, including the metabolism of carbohydrates, lipids and amino acids,
as well as the immune response, neurological biology, stress adaptation, apoptosis, cell division,
cell fate, inflammatory responses, etc. Glucocorticoids exert their biological effects by activation of
the glucocorticoid receptor (GR), a bona fide ligand-activated transcription factor belonging to the nuclear
receptor superfamily. The GR is expressed in virtually all cells of the human body showing
isoformic versions and also transcription variants. GR forms oligomeric heterocomplexes that include
the 90-kDa heat-shock protein (Hsp90) as an essential hub of the chaperone oligomer. The nature of
chaperones associated with this heterocomplex is responsible for the modulation of the subcellular localization
of the GR and its biological actions in a given tissue or cell type. In this sense, the discovery
that immunophilins containing tetratricopeptide repeats (TPR) domains are responsible for the GR cytoplasmic
transport mechanism and the nuclear retention half-time of the receptor opened new trends
in our understanding of its complex mechanism of action. Because the properties of GR ligands influence
these protein-protein interactions, specific steroid•receptor complexes may confer the GR different
features providing new therapeutic opportunities to manage the disease. In this article, we analyze
multiple aspects of the GR mechanism of action, some properties of the GR isoforms, and the latest
findings revealing the roles of Hsp90-binding immunophilins to manage the glucocorticoid biological
response.
SEKİZİNCİ SINIF ÖĞRENCİLERİNİN RUTİN OLMAYAN PROBLEM ÇÖZÜMLERİNE YÖNELİK HATA ANALİZİ
Authors: Oflaz Gülçin , Polat Kübra
Published: April 2022

Bu çalışmada sekizinci sınıf öğrencilerinin rutin olmayan problemleri çözerken yaptıkları hataların belirlenmesi amaçlanmaktadır. Bu amaçla çalışmada açımlayıcı sıralı karma yöntem deseni benimsenmiştir. TIMMS 2011 ve 2015 sınavlarından rutin olmayan problem bağlamında belirlenen iki soru 181 sekizinci sınıf öğrencisine uygulanmıştır. Daha sonra öğrencilerin yaptıkları hataların detaylı incelenmesi için 15 öğrenci ile de yarı yapılandırılmış görüşme gerçekleştirilmiş ve bu görüşmeler video ile kayıt altına alınmıştır. Elde edilen nicel verilerin analizinde Spearman korelasyon katsayısı ve ki-kare uygunluk testi yapılmıştır. Nitel veriler ise betimsel analiz tekniği ile çözümlenmiştir. Çalışmanın sonuçlarına göre öğrencilerin rutin olmayan problemleri çözerken yaptıkları hataların matematik başarılarına göre anlamlı derecede farklılaştığı belirlenmiştir. Bu hataların okuma, kavrama, dönüştürme, süreç yeterlilikleri, deşifre etme, kontrol ve kişisel hatalar kategori altında toplandığı da ulaşılan bir diğer sonuçtur. Ulaşılan sonuçlara göre öğrencilerin problem çözümlerini kontrol etme alışkanlığı kazanmaları, bunu yaparken sadece işlemlerin değil problemin anlaşılması ve planlanması aşamalarının da kontrol edilmesinin sağlanması önerilmektedir.
ARTIRILMIŞ GERÇEKLİK (AG) UYGULAMALARININ OKUL ÖNCESİ DÖNEMDE UYGULANABİLİRLİĞİNE İLİŞKİN ÖĞRETMEN GÖRÜŞLERİ
Authors: Başaran Mehmet , Nacar Erkan , Aksay Gökçen , Tüfekci Hülya , Vural Ömer Faruk
Published: April 2022

21.yy. teknolojilerinin hayatımızı tamamen değiştirdiği bir çağda teknoloji; eğitimi geleneksel ortamlardan çıkartıp, öğrenciyi merkeze alan bir boyuta taşımıştır. Bu teknolojilerden biri de Artırılmış Gerçeklik (AG) uygulamalarıdır. Bu çalışmada AG uygulamalarının okul öncesi eğitime entegre edilmesine ilişkin öğretmen görüşleri incelenmiştir. Araştırmada nitel araştırma yöntemlerinden biri olan durum çalışması kullanılmıştır. Araştırma kapsamında 2020-2021 eğitim öğretim yılında Şanlıurfa ilinde çalışan 12 okul öncesi öğretmeni ve bir rehber öğretmene dokuz açık uçlu soru yöneltilerek 45 dakikalık görüşmeler yapılmıştır. Veriler yarı yapılandırılmış görüşme formları ile toplanmış ve içerik analizine tabi tutulmuştur. Çalışmada araştırmacı üçgenlemesi yapılmış ve uzman görüşleri alınmıştır. Veri analizi sonucunda şu temalara: Artırılmış gerçekliğin eğitime faydaları, disiplinler arası yaklaşımı, hedeflenen ortak kazanımların ve kavramların kazandırılmasındaki rolü, artırılmış gerçekliğin disiplinler arası yaklaşımla uygulanması, artırılmış gerçeklik etkinlik alanları, artırılmış gerçeklik uygulamalarının sınırlılıkları, avantajları ve dezavantajları, öğretmenlerin artırılmış gerçekliğe yönelik hissettiği duygular, artırılmış gerçeklik uygulamalarını kullanmak isteme sebepleri ulaşılmıştır. Katılımcıların ise AG uygulamalarını yararlı buldukları ve derslerinde kullanmak istediklerini ifade etmişlerdir.
OKUL ÖNCESİ DÖNEMDE CİNSEL EĞİTİM AÇISINDAN ANNE TUTUMLARI VE BİLGİ DÜZEYLERİNİN İNCELENMESİ
Authors: Sönmez Güz Merve , Öğretir Özçelik Ayşe Dilek
Published: April 2022

Araştırma, okul öncesi dönem çocuğu olan annelerin cinsel eğitim açısından tutum ve bilgi düzeylerini incelemek amacıyla gerçekleştirilmiştir. Araştırmanın örneklemini, Ankara ili Yenimahalle ve Keçiören ilçelerinde bulunan çocuk parkları ve oyun alanlarından, seçkisiz olmayan örnekleme türlerinden uygun örnekleme yöntemiyle seçilmiş 337 anne oluşturmaktadır. Araştırma verileri, Aile Bilgi Formu, Hamel Anne Tutum Testi ve Ebeveyn Cinsel Eğitim Bilgi Ölçeği (ECEBÖ) aracılığı ile toplanmıştır. Verilerin analizi için yüzde, frekans değerleri, standart sapma, aritmetik ortalamaya yönelik betimsel analizler; çocuğun okul öncesi eğitim kurumuna devam etme durumu ve cinsiyet değişkenlerinin karşılaştırılmasında t-testi, çocuğun yaş değişkeninin karşılaştırılmasında ise tek yönlü varyans analizi (ANOVA) işe koşulmuştur. Varyans analizine göre anlamlı bir farkın oluştuğu durumlarda, Post-Hoc testlerinden Scheffe ve Games-Howell çoklu karşılaştırma testi yapılmıştır. Analiz sonucunda çocuğun yaşı ile anne tutumları alt boyutları arasında anlamlı bir ilişki olduğu belirlenmiştir. Çocuğun cinsiyetinin cinsel eğitim bilgi düzeyini etkilediği fakat çocuğun yaşı ve bir eğitim kurumuna devam etme durumunun herhangi bir etki yaratmadığı saptanmıştır. Annelerle yapılan bu çalışma, babalarla da gerçekleştirilebilir.
Primary Percutaneous Intervention for ST-Elevation Myocardial Infarction Patients: A State of The Art
Authors: Satrijo Budi
Published: April 2022

Primary PCI is the preferred reperfusion strategy in patients with STEMI within 12 h of symptom onset. Angiographically successful PPCI was defined as less than 30% residual stenosis by visual assessment and grade 3 TIMI flow achievement. Radial access is preferred over femoral access. Drug eluting stent (DES) implantation is more superior than bare metal stent (BMS) implantation or balloon angioplasty. In STEMI patients with cardiogenic shock, non-infarct related artery PCI during the index procedure should be considered.
Correlation of ischemic Time with Diastolic Dysfunction and Correlation of Diastolic Dysfunction with 6 Minute Walk Test Distance in STEMI Patients receiving Percutaneus Coronary Intervention
Authors: Krisnasari Imelda , Fuji Rahimah Anna , Saifur Rohman Mohammad , Anjarwani Setyasih , Prasetya Indra
Published: April 2022

Background: Minimizing the time between ischemia and reperfusion in STEMI patients is critical for salvaging ischemic myocardium and limiting residual injury. One of the methods for determining the impact of ischemic time on the myocardium and correlating the findings to the outcomes is by using echocardiography. Objectives: To evaluate the correlation of ischemic time to diastolic dysfunction and also the correlation of diastolic dysfunction to functional capacity by 6-minute walk distance in STEMI patients. Methods: The study was a retrospective cohort, with all STEMI patients who underwent PCI at RSUD Dr. Saiful Anwar Malang between January 2018 and November 2021 being eligible. All patients underwent PCI, echocardiography, and a 6-minute walk test before being discharged. We defined significant diastolic dysfunction as grade 2 or 3 diastolic dysfunction, according to the 2016 American Society of Echocardiography (ASE) and European Association of Cardiovascular Imaging (EACVI) guidelines. The distance of 6-minute walk test was divided into three categories: less than 300m, 300-400m, and more than 400m. Results: From total 258 patients, 92 patients (35.7%) had significant diastolic dysfunction. The significant diastolic dysfunction was correlated with ischemic time > 12 hours (r = 0.51, p = 0.000), Killip class (r= 0.46, p = 0.000), culprit artery (r= 0.203, p=0,001), and peak toponin I levels (r=0.35, p=0.000). We identified that the ischemic time (odds ratio / OR 6.78; 95% Confidence Interval / CI 3.27 – 14.09; p = 0.000), Killip class (odds ratio 4.62, 95% CI 2.53 to 8.48, p = 0.000), and infarct size by peak troponin I levels (OR 1.12, 95% CI 1.06 to 1.18, p = 0.000) as independent predictors of significant diastolic dysfunction. There was inversely correlation of diastolic dysfunction with 6-minute walk test distance. (r = -0,422 dan p=0,000), with E/e’ as independent predictors of level of 6 minute walk distance (OR -1.126, 95% CI -1.78 to -0.48, p = 0.001). Conclusion: Ischemic time is one of the independent predictors of significant diastolic dysfunction. LV diastolic dysfunction was inversely correlated with 6-minute walk test distance in STEMI patient.
A Risk Factor Which Can Induced Premature CAD in Women With Positive Family History : A Case Report
Authors: Wicaksono Arif , Saifur Rohman Mohammad , Ruspiono Evit , Tri Tjahjono Cholid
Published: April 2022

Background: Premature Coronary Artery Disease (CAD) was defined as the incidence of CAD in males younger than 45 years of age and in women younger than 55 years of age. Many factors can cause a woman under the age of 55 to develop a CAD. One of the major roles is the patient's family history associated with the occurrence of CAD which is then associated with one or more other CAD-related risk factors such as hypertension, history of Cerebrovascular Accident (CVA), obesity or dyslipidemia. Objective: This case report was made to elaborate on the importance of family history of PCAD on CAD diagnosis. Case Presentation: A 47-year-old woman who has not yet experienced menopause comes with complaints of Dyspneu on Effort (DOE). She had multiple history of CVA. She is the 2nd child of 3 siblings. Her father has died due to liver problem. Her mother had a CVA at the age of 62 with history of hypertension. Her uncle from different grandmothers, also had a history of sudden death. She was diagnosed with a coronary artery disease and percutaneous coronary intervention was performed. Conclusion: The mortality rate of women with CAD is higher than that of men, confirming that CAD in women who appear at the age of less than 55 years should receive more attention, and the task of health workers here is to strengthen history taking related to family history in women with traditional risk factors who have the possibility of developing CAD in the future.
PPI and CPI seasonal adjustment during the COVID-19 pandemic
Authors: Hoarty Blake , Muri Steven M. , Pallotta Daniel J. , Rogers Marie , Weinhagen Jonathan C. , Wilson Jeffrey S.
Published: May 2022

The U.S. Bureau of Labor Statistics publishes seasonally adjusted Consumer Price Index (CPI) and Producer Price Index (PPI) data monthly. Seasonal adjustment removes within-year seasonal patterns from data. To seasonally adjust data and estimate seasonal patterns of time series, the CPI and PPI use a filter-based approach that employs moving averages of historical data. In 2020, many PPIs and CPIs experienced extreme movements because of the coronavirus disease 2019 (COVID-19) pandemic. For example, the PPI and CPI for gasoline decreased 53.0 percent and 16.5 percent in April 2020, respectively. Because the CPI and PPI use historical data to estimate seasonal patterns, the extreme price movements in 2020 could have adversely affected the capability of the two price programs to accurately estimate seasonally adjusted data. This article explains how the CPI and PPI mitigated the effects of the COVID-19 pandemic on their seasonally adjusted price indexes. Mitigation steps included identifying price indexes whose movements were affected by the pandemic, estimating time series models to quantify these effects, and removing pandemic-related price movements from the data before estimating seasonal patterns.
Harnessing Natural Language Processing to Support Decisions Around Workplace-Based Assessment: Machine Learning Study of Competency-Based Medical Education
Authors: Yilmaz Yusuf , Jurado Nunez Alma , Ariaeinejad Ali , Lee Mark , Sherbino Jonathan , Chan Teresa M
Published: April 2022

Background

Residents receive a numeric performance rating (eg, 1-7 scoring scale) along with a narrative (ie, qualitative) feedback based on their performance in each workplace-based assessment (WBA). Aggregated qualitative data from WBA can be overwhelming to process and fairly adjudicate as part of a global decision about learner competence. Current approaches with qualitative data require a human rater to maintain attention and appropriately weigh various data inputs within the constraints of working memory before rendering a global judgment of performance.

Objective

This study explores natural language processing (NLP) and machine learning (ML) applications for identifying trainees at risk using a large WBA narrative comment data set associated with numerical ratings.

Methods

NLP was performed retrospectively on a complete data set of narrative comments (ie, text-based feedback to residents based on their performance on a task) derived from WBAs completed by faculty members from multiple hospitals associated with a single, large, residency program at McMaster University, Canada. Narrative comments were vectorized to quantitative ratings using the bag-of-n-grams technique with 3 input types: unigram, bigrams, and trigrams. Supervised ML models using linear regression were trained with the quantitative ratings, performed binary classification, and output a prediction of whether a resident fell into the category of at risk or not at risk. Sensitivity, specificity, and accuracy metrics are reported.

Results

The database comprised 7199 unique direct observation assessments, containing both narrative comments and a rating between 3 and 7 in imbalanced distribution (scores 3-5: 726 ratings; and scores 6-7: 4871 ratings). A total of 141 unique raters from 5 different hospitals and 45 unique residents participated over the course of 5 academic years. When comparing the 3 different input types for diagnosing if a trainee would be rated low (ie, 1-5) or high (ie, 6 or 7), our accuracy for trigrams was 87%, bigrams 86%, and unigrams 82%. We also found that all 3 input types had better prediction accuracy when using a bimodal cut (eg, lower or higher) compared with predicting performance along the full 7-point rating scale (50%-52%).

Conclusions

The ML models can accurately identify underperforming residents via narrative comments provided for WBAs. The words generated in WBAs can be a worthy data set to augment human decisions for educators tasked with processing large volumes of narrative assessments.
Validity and Sources of WhatsApp Health Messages Used by the Public in Saudi Arabia: An Observational Study (Preprint)
Authors: Alfaris Eiad , Alhazzani Yasser , Irfan Farhana , Alkhenizan Abdullah , Almunif Naif , Alyousefi Nada , Alfaris Huda , Alodhaibi Khitam , M A Ahmed Abdullah
Published: May 2022

BACKGROUND

Social media is a platform that allows users to communicate and share information or ideas and experiences. Health information found on social media is written and shared by people from different educational and credibility levels.

OBJECTIVE

To estimate the validity and safety of Arabic language health information messages circulated on WhatsApp and to classify them into different categories based on their credibility and sources.

METHODS

A descriptive-analytical, cross-sectional study was conducted from Feb-April 2021. A convenience sampling technique was used. Students from Common First Preparatory Year College at King Saud University participated through sharing three health-related WhatsApp messages that they or their relatives have read recently. Four Board-certified physicians reviewed and classified the messages into categories based on their credibility and sources.

RESULTS

Two hundred eighty-two (282) students filled out a socio-demographic characteristics questionnaire and 63% of them were female students. Out of the 326 messages, 86% were either invalid or inaccurate. Most messages (83.7%) were from unknown sources. 8.3% of the messages were obtained from known sources but written by unqualified persons represented 8.3% of the messages. Written by qualified persons (5.8%) or trusted scientific sources (2.1%) represented only 8% of the total messages. There was a significant association between the sources and the validity of the message’s information. Most of the messages from unknown sources or unqualified persons were either invalid or invalid with potential risk.

CONCLUSIONS

This study showed a high percentage of inaccurate and invalid health-related messages on WhatsApp. Invalid with potential risk messages were mainly from unknown sources or unqualified persons. Most of the health messages written by trusted authorities and qualified persons were valid. Trusted scientific authorities should be more active in social media platforms, and they should advise the community on how to discern the validity of such messages. More efforts are needed to guide the patients from where to get accurate and valid health information.
Engagement in Self-measured Blood Pressure Monitoring Among Medically Underresourced Participants (the Reach Out Trial): Digital Framework Qualitative Study (Preprint)
Authors: Hellem Abby Katherine , Whitfield Candace , Casetti Amanda , Robles Maria Cielito , Dinh Mackenzie , Meurer William , Skolarus Lesli
Published: May 2022

BACKGROUND

Mobile health (mHealth) interventions serve as a scalable opportunity to engage people with hypertension in self-measured blood pressure (SMBP) monitoring, an evidence-based approach to lowering blood pressure (BP) and improving BP control. Reach Out is an SMS text messaging–based SMBP mHealth trial that aims to reduce BP among hypertensive patients recruited from the emergency department of a safety net hospital in a low-income, predominately Black city.

OBJECTIVE

As the benefits of Reach Out are predicated on participants’ engagement with the intervention, we sought to understand participants’ determinants of engagement via prompted SMBP with personalized feedback (SMBP+feedback).

METHODS

We conducted semistructured telephone interviews based on the digital behavior change interventions framework. Participants were purposively sampled from 3 engagement categories: high engagers (≥80% response to SMBP prompts), low engagers (≤20% response to BP prompts), and early enders (participants who withdrew from the trial).

RESULTS

We conducted interviews with 13 participants, of whom 7 (54%) were Black, with a mean age of 53.6 (SD 13.25) years. Early enders were less likely to be diagnosed with hypertension prior to Reach Out, less likely to have a primary care provider, and less likely to be taking antihypertensive medications than their counterparts. Overall, participants liked the SMS text messaging design of the intervention, including the SMBP+feedback. Several participants across all levels of engagement expressed interest in and identified the benefit of enrolling in the intervention with a partner of their choice. High engagers expressed the greatest understanding of the intervention, the least number of health-related social needs, and the greatest social support to engage in SMBP. Low engagers and early enders shared a mixed understanding of the intervention and less social support compared to high engagers. Participation decreased as social needs increased, with early enders sharing the greatest amount of resource insecurity apart from a notable exception of a high engager with high health-related social needs.

CONCLUSIONS

Prompted SMBP+feedback was perceived favorably by all participants. To enhance SMBP engagement, future studies could consider greater support in the initiation of SMBP, evaluating and addressing participants’ unmet health-related social needs, as well as strategies to cultivate social norms.
Developing an Immersive Virtual Reality Training System for Novel Pediatric Power Wheelchair Users: Protocol for a Feasibility Study (Preprint)
Authors: Drisdelle Sara , Power Liam , Thieu Scott , Sheriko Jordan
Published: May 2022

BACKGROUND

Power wheelchairs can empower children with physical limitations to gain independence in their everyday lives; however, traditional methods of power wheelchair training are often limited by poor accessibility and safety concerns. Immersive virtual reality technology (IVRT) uses advanced display technology to place users in a fully immersive virtual environment that can support real-time skills training, often requiring less resources and fewer safety concerns than real-world methods. IVRT interventions have shown to be a feasible training option among adult power wheelchair users, but there is still a need to understand the technical and clinical feasibility of developing an IVRT power wheelchair training tool for the pediatric population.

OBJECTIVE

This proposed study aims to employ expert feedback and an iterative design process to develop an IVRT training intervention for pediatric power wheelchair skill development.

METHODS

This 3-phase feasibility study will be conducted within the assistive technology unit of a public pediatric hospital. Separate participant groups will be recruited for each phase, consisting of approximately 10-15 clinicians (phase 1), 10 pediatric power wheelchair users (phase 2) and 15-20 additional pediatric power wheelchair users (phase 3). Phase 1 will be conducted to gather feedback on the baseline IVRT training intervention. Clinicians will test the intervention and assess its usability and acceptability using qualitative and quantitative methods. Phase 1 participants will also be invited back for a subsequent session, to re-assess a revised version of the training intervention that has been updated based on their prior feedback. Phase 2 and phase 3 will also utilize mixed methods to gather feedback from current pediatric power wheelchair users on the usability, acceptability, and user experience of the IVRT training intervention. Additionally, phase 3 participants will perform a skills transfer assessment to compare power mobility skill performance between the virtual and real-life environment. Data gathered in phase 2 will be used to further refine the IVRT intervention, whereas phase 3 data will be used to statistically evaluate the final version.

RESULTS

This study was approved by the institutional review board in August 2021. Phase 1 testing began in February 2022. The entire study is expected to complete by early 2023.

CONCLUSIONS

The results of this study will be used to create an IVRT training intervention for pediatric power wheelchair skill development through an iterative and collaborative design process. Results may also assist in directing future research in this area.
BORSA İSTANBUL’DA İŞLEM GÖREN ŞİRKETLERDE PAY SENEDI FİYATI VE BORSA PERFORMANS ORANLARI İLİŞKİSİ: İŞLEM HACMİ EN YÜKSEK ŞİRKETLERDE BİR UYGULAMA
Authors: TEKİN Bilgehan , BASTAK Seda Nur
Published: April 2022

Amaç: Bu çalışmada Borsa İstanbul pay senedi piyasasında yatırım yapan yatırımcıların dikkat ettikleri belirli oranların hisse senedi fiyatları üzerindeki etkisi incelenmiştir. Bu amaçla yatırımcıların en fazla işlem gerçekleştirdikleri otuz adet şirketin pay senetleri örneklem olarak alınmıştır. Bu kapsamda çalışmada , analiz döneminde ortalama işlem hacmi en yüksek 30 şirket seçilmiştir. Çalışma 2010: 1Ç-2019: 4Ç arası dönemi kapsamaktadır. Çalışmaya dahil edilen değişkenler hisse senedinin borsa fiyatı, Fiyat/Kazanç oranı, işlem hacmi, PD/DD, beta, halka açıklık yüzdesidir. Bu çalışmada, literatürde örneklerine çok sık rastladığımız finansal analiz ve oran analizi kapsamında ele alınan oranlardan çok, şirketlerin halka açık hisse senetlerinin borsa fiyatlarının yine borsada gerçekleşen işlemler sonucu ortaya çıkan göstergelerden hangi düzeyde etkilendikleri anlaşılmaya çalışılmıştır.Yöntem: Çalışmada panel regresyon analizi gerçekleştirilmiştir. Panel regresyon analizine geçmeden önce ön testler gerçekleştirilmiş ve modele en uygun halinin verilmesine çalışılmıştır. Bu amaçla çoklu doğrusallık sorunu testleri yatay kesit bağımlılığı testi, ikinci nesil birim kök testleri, değişen varyans testi, panel regresyon modeli seçimi yapılmıştır. Son aşamada oluşturulan model tahminlenmiştir.Bulgular: Şirketlerin hisse senetlerinin borsa fiyatları üzerinde Fiyat/Kazanç, İşlem Hacmi, Piyasa Değeri/Defter Değeri ve Beta değişkenlerinin anlamlı bir şekilde etkili oldukları görülmüştür. Bu değişkenlerden BETA negatif etkilerken diğer değişkenler pozitif etkilemektedir. Hisse fiyatı üzerinde en yüksek düzeyde etkiye sahip değişken ise negatif yönde BETA katsayısı, pozitif yönde ise işlem hacmidir.Sonuç: Çalışmanın sonucunda, şirketlerin hisse senetlerinin borsa fiyatları üzerinde finansal oranların etkisinin olduğu tespit edilmiştir.
Development of Graphic Design Practice and Education in Ghana
Authors: Agyarkoh Dr. Eric , Amissah Dr. Eric Kwadwo
Published: April 2022

In Ghana, Graphic Design is regarded as one of the contemporary arts that was introduced in the Gold Coast by the British (The colonial administration) and European merchants in the 17th Century. Since then, the art has gone through series of metamorphosis in various aspects till date. However, empirical evidence indicates that the developmental patterns of the art in Ghana has not been documented comprehensively. Using qualitative research approaches such as historical research method, interviews, document review, narrative and inductive analysis, this paper sought to conduct a comprehensive research into the local Graphic Design industry to gather pieces of fragmented documented and oral information from relevant stake holders who were purposively selected from different parts of Ghana based on their professional memory on industrial practice and Graphic Design education in Ghana, to reconstruct the history of the art for posterity. The study revealed that, commercial press printing and newspaper advertising were introduced in the Gold Coast first before outdoor advertising and desktop publishing. Also, colonisation, successive government policies, technological inventions in the western countries, and developments in computer technologies have contributed immensely to the development of Graphic Design practice and education in Ghana from the 17th Century to date.
First Report of Physico-Chemical Agents of Viable But Non Culturable (VBNC) forms of Ralstonia pseudosolanacearum
Authors: Faridi Neha , Samuel Merwyn , Bhatt Shalini , Agarwal Ankur , Pande Veena , Bala Madhu
Published: April 2022

The germicidal efficacy of various physico-chemical agents against culturable bacterial cells and bacterial spores is well studied and reviewed; except for the dormant Viable But Non Culturable state (VBNCs). VBNC is a special physiological state, where the bacterium is not culturable in culture media, but remains alive, infective and virulent. The aim of this study is to evaluate the germicidal efficacy of three physico-chemical agents against the VBNC forms of destructive phytopathogen Ralstonia pseudosolanacearum. Effect of thermotherapy Formalin and Sodium Hypochlorite on these forms was evaluated using standard plate count and reverse culturability tests. The disinfectants were found equally effective against the culturable cells and VBNC forms at recommended concentrations.
Characterization of Non-tuberculous Mycobacteria by Line Probe Assay Isolated from Pulmonary Tuberculosis Suspected Patients at Rajasthan
Authors: Khandelwal Shreya , Malhotra Bharti , Dubey Widhi , Bhargava Shipra
Published: April 2022

Non-tuberculous Mycobacteria (NTM) are emerging as an important opportunistic pathogen. Since clinical presentation of NTM infection is similar to tuberculosis (TB), patients present as suspected TB or drug resistant TB. Presently in the National Tuberculosis Elimination Programme (NTEP ) NTM are not being speciated, but there is an urgent need to characterize the NTM so that appropriate treatment can be given as many species are multi-drug resistant. The purpose of the present study was to use Line Probe Assay (LPA) i.e. GenoType Mycobacterium CM/AS assay to characterize NTM for rapid early reporting and to know the pattern of NTM at Rajasthan. Sputum samples from 5000 TB and Multi Drug Resistant TB (MDRTB) suspect patients were processed and cultured on Mycobacterium Growth Indicator Tube (MGIT). Culture isolates found positive for mycobacteria in Ziehl Neelsen (ZN) staining and negative by MPT64 antigen test were then subjected for GenoType Mycobacterium CM/AS Among sputum samples from 5000 patients 1520 (30.4%) patient samples were positive for mycobacteria, among these 1488 (97.9%) were Mycobacterium tuberculosis (MTB) and 32 (2.1%) were NTM, among them 56.2% were Mycobacterium intracellulare, 21.8% Mycobacterium abscessus, 9.3% Mycobacterium fortuitum, 1% Mycobacterium simiae and 9.3% isolates showed invalid results. Incidence of NTM was very low (2.1%) among them M. intracellulare and M. abscessus were the most commonly isolated species, GenoType Mycobacterium CM/AS assay was found to be easy, rapid and reliable test giving valid results in 91% cases in 3-5 days of getting growth.
Optimization and Development of Pulverization Machine
Authors: Handa Prof. Dr. C. C , Thakre Gaurav N , Shirpurkar Rutuparna K , Gedam Runal , Bagde Rinku , Channe Mayur , Landge Prashant
Published: April 2022

Abstract: A Pulverizer is a machine whose purpose is to shred or crush total material into lower pieces by the repeated blows of number of plates. These machines have multitudinous feathers of operations in multitudinous industriousness A pulverizer or grinder is a mechanical device used for the grinding of multitudinous different types of paraphernalia. the pulverization is a machine which is used for the combine operation The pulverizer is a machine that pulverizes large-sized solid raw paraphernalia to the demanded size. the capper is composed of coarse crushing, fine crushing, wind conveying and other bias, and achieves the purpose of the capper in the form of highspeed impact. using wind energy to form cream at one time, barring the traditional netting process. mainly used in mining, erecting paraphernalia and other industriousness. Prolusion Husbandry is now one of the most important sectors it plays a part Indian economy. In order to further develop this sector technology has come one of the main components. The farmers on the field burn ultimate of these wastes after the harvesting of crops. Thus the agricultural waste burning sensations is being repeated every year. In order to use these wastes for some profitable benefits, like power shops, industries. So the necessary of analogous machine was felt to use all kinds of agricultural waste after shredding, which could be provident and practicable. The design is developed and manufactures a machine which will be used for producing tattered organic wastes for farmers without any use of electricity, these organic wastes will increase the effectiveness than any other conventional means, which are obviously dangerous for mortal health, terrain, landetc. Corridor used for manufacturing such a machine are agitator, hopper, collector tank, bevel gear couples, pulleys flat belt drive and oaring medium. Keywords- Pulverizer, vertical Impactcrusher, blades
Use of ANN to Identify Fake Profiles
Authors: S B Saraswati
Published: April 2022

Abstract: There is a huge expansion in advancements nowadays. Mobiles are becoming shrewd. Innovation is related with online informal organizations which has turned into a section in each one's life in making new companions and keeping companions, their inclinations are known simpler. Be that as it may, this expansion in systems administration online makes numerous issues like faking their profiles, online pantomime having become increasingly more in present days. Clients are taken care of with more superfluous information during riding which are posted by counterfeit clients. Explores have seen that 20% to 40% profiles in internet based informal organizations like Facebook are phony profiles. Subsequently, this identification of phony profiles in internet based informal communities’ results into arrangement utilizing systems. Keywords: Online Social Networks, Fake profiles, Classification, Neural Network.
A Study on Investors Perception on Indian Mutual Funds System with Reference to Private and Public Players
Authors: Bosco. T. Ms. Daisy , M Dr. John Paul
Published: April 2022

Abstract: The goal of this research is to find out more about investors' preferences and perceptions of the Indian mutual fund system, with a focus on private and public players. The two most common investor classes in the Indian mutual fund market, public and private players, were used to select mutual fund businesses. A mutual fund is a way of pooling money by distributing units to investors and investing the proceeds in securities in accordance with the offer document's goals. As a result, for the typical person, a mutual fund is the greatest investment since it allows them to invest in a diversified, professionally managed basket of securities at a low cost. In recent years, the number of investors and investment sources has exploded.
Depression Detection by Analyzing Social Media Post of User
Authors: Bhoge Rutuja K , Nagare Snehal A , Mahajan Swapanali P , Kor Prajakta S
Published: April 2022

Abstract: Nowadays the problem of early depression detection is one of the most important in the field of psychology .Mental health issues are widely accepted as one of the most prominent health challenges in the world, with over 300 million people currently suffering from depression alone. With massive volumes of user-generated data on social networking platforms, researchers are increasingly using machine learning to determine whether this content can be used to detect mental health problems in users. Depression as a disorder has been an excellent concern in our society and has been continuously a hot topic for researchers in the world. Despite the massive quantity of analysis on understanding individual moods together with depression, anxiety, and stress supported activity logs collected by pervasive computing devices like smartphones, foretelling depressed moods continues to be an open question. Social networks analysis is widely applied to address this problem. In this paper, we have proposed a depression analysis and suicidal ideation detection system, for predicting the suicidal acts supported the extent of depression. The present study aims to exploit machine learning techniques for detecting a probable depressed Social Media user his/her Posts. For this purpose, we trained and tested classifiers to differentiate whether a user is depressed or not using features extracted from his/her activities within the posts. classification machine algorithms are used to train and classify it in Different stages of depression on scale of 0-100%. Also, data was collected in the form of posts and were classified into whether the one that tweeted is in depression or not using classification algorithms of Machine Learning In this way Predictive approach for early detection of depression or other mental illnesses. This study’s main contribution is that the exploration a neighborhood of the features and its impact on detecting Depression level. This study aims to develop a deep learning model to classify users with depression via multiple instance learning, which can learn from user-level labels to identify post-level labels. By combining every possibility of posts label category, it can generate temporal posting profiles which can then be used to classify users with depression. This paper shows that there are clear differences in posting patterns between users with depression and non-depression, which is represented through the combined likelihood of posts label category. In this research, machine learning is used to process the scrapped data collected from social media users posts. Natural Language Processing (NLP), classified using BERT algorithm to detect depression potentially in amore convenient and efficient way. Keywords: Machine Learning, NLP, BERT Algorithm, Classification, Social Media Post
Digital Forensics based Defence Security System
Authors: Patil Akhil , Sakhare Aditya , Samani Amiruddin , Prajapati Mahesh
Published: April 2022

Abstract: This project addresses the structure, implementation and application of digital forensics security System with the assistance of face recognition and fingerprint identification which might be employed in Military Bases and other defence bases. Forensics munition using face and fingerprint recognition may be a system during which tracking of daily activity of officers is in an automatic manner and done by the program itself which is finished by the popularity and identification of the face with the assistance of a camera module which is connected with the system. The camera module helps the system with the initial a part of the program which is initialization of the camera on which the system can perform its operation. When the face comes before of the camera and provides their fingerprints, the program compares the face within the camera with the photographs and detect the fingerprint within the database and recognizes it. These image data are basically known data for the system and is that the data on which the system is trained. The system, if recognizes the face after the comparison with the database, displays the name of the person’s face as an alternative displays “UNKNOWN” if the faces don’t match. Then it tracks the identity of the person file of only the matched faces. This data is stored in an excel file format safely
Resiliencia de los docentes de educación media superior durante la pandemia de COVID-19
Authors: Urrutia-Aguilar María Esther , Jaimes-Medrano Aurora Leonila , Aburto-Arciniega Monica Beatriz
Published: April 2022

La pandemia de COVID-19 ha tenido un impacto en la salud mental de la población, emanado del aislamiento social y a nivel educativo afectó a más de 160 millones de estudiantes en América Latina y el Caribe. En algunos estudios reportaron que los docentes manifestaron altos niveles de estrés y malestar psicológico afectando su adaptación ante un escenario incierto y presentando dificultades en su práctica docente. La resiliencia es una condición indispensable en el docente para afrontar las dificultades, recobrar el estado de balance inicial y favorecer su crecimiento y generar una buena enseñanza. El objetivo de este estudio fue identificar los factores que contribuyen a la resiliencia de los docentes de educación media superior a más de un año de confinamiento por la pandemia. Los resultados mostraron que la antigüedad docente, la confianza y fortaleza en sí mismo, la competencia social y el apoyo social (familia y amigos) son factores que predicen la resiliencia de los docentes que cursan un posgrado en formación docente.