bluuebunny/crossref_metadata_2025 huggingface dataset:
Epidemiology and Survival Analysis of Patients with Brainstem Cavernous Hemangioma: A Population-Based Study Using the SEER Database
Authors: Zhan Zhixin , He Ding , Yang Zedi , Liu Ziqiang , Chen Yong , Huang Haiyan
Published: May 2022

This population-based study determined the epidemiology, incidence, and outcomes of brainstem cavernous hemangioma. Data on patients with brainstem cavernous hemangioma were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Descriptive analysis assessed the distribution and tumor-related characteristics of patients with brainstem cavernous hemangioma. The Kaplan–Meier method and Cox proportional hazard model were used to analyzed the possible prognostic indicators. The age-adjusted incidence rate between 2000 and 2019 was 0.0236 cases per 100,000 person-years. A total of 283 cases of brainstem cavernous hemangioma were identified between 2000 and 2019. The median patient age was 45 years (range, 0–87 years). Most patients were diagnosed between 40–44 and 55–59 years of age. Middle-aged adults (40–59 years old) accounted for 41.34% of all patients. White patients accounted for 82.6% of all patients. All patients diagnosed with brainstem cavernous hemangioma had benign lesions. Surgery was performed in 105 (37.1%) cases, radiation therapy in 5 (1.7%) cases, and chemotherapy in 1(0.4%) case. The median survival time was 71 months (range: 0–189 months). Age at diagnosis and surgery were two strong factors affecting occurrence and prognosis. Incidence did not differ between sexes and was higher in white patients. Tumor size had little impact on early prognosis; however, for late prognosis, smaller tumors (< 3 cm) had a better prognosis. No significant differences were observed in the outcomes between surgery and conservative treatment. We suggest that more attention should be paid to the treatment of patients with brainstem cavernous hemangioma.
Significance of postoperative serum carcinoembryonic antigen combined with tumor deposition in Stage II-III Colon Cancer Patients: a retrospective multicenter cohort study
Authors: Pu Hongjiang , Pang Xiaolin , Chen Yaxue , Ma Jianguo , Wu Runhong , Li Liyan , Liu Lizhu , You Ruimin , Fu Jiangping , Dong Xingxiang , Xiong Qiuxia
Published: May 2022

Purpose: This study aimed to investigate postoperative CEA combined with tumor deposition for risk stratification of postoperative recurrence of stage II-III colon cancer.Methods: A retrospective analysis of 761 patients who underwent radical surgery for stage II-III colon cancer from April 2008 to January 2019. Patients were grouped into 3 cohorts: normal postoperative CEA without tumor deposits（TD）, normal postoperative CEA with TD, and elevated postoperative CEA. Cox proportional hazards regression model was used to analyze the independent recurrence prognostic factors of patients with recurrence-free survival (RFS). The Kaplan-Meier method was used to draw the patient's RFS curve.Results: The median follow-up period of all patients was 49.73 months. A total of 761 patients (452 [59.4%] male; median [IQR] age, 69 [50-67] years) were identified. The 3-year RFS of 60 patients with normal postoperative CEA and positive TD was 51.1% (95% CI, 39.8%-65.5%), and the 3-year RFS of 103 patients with elevated postoperative CEA was 47.7% (95% CI, 38.5%-58.3%). (Patients with normal postoperative CEA and positive TD vs Patients with elevated postoperative CEA: HR, 1.04; 95% CI, 0.67-1.60; P = 0.877). Multivariate analysis of the COX proportional hazards model showed that normal postoperative CEA with TD (HR, 2.0; 95% CI, 1.1-3.5) is independently associated with shorter RFS.Conclusion: Patients with normal postoperative CEA still have a higher risk of recurrence if combined with tumor deposits. It is necessary to incorporate postoperative CEA and tumor deposition into high-risk factors for postoperative recurrence of colon cancer for management.
Genetic predisposition and cardiovascular risk factors: an unusual case of aortic regurgitation and LVOT obstruction
Authors: Balducci Anna , Molisana Michela , Palleri Daniela , Ciuca Cristina , Bartolacelli Ylenia , Careddu Lucio , Angeli Emanuela , Donti Andrea , Gargiulo Gaetano Domenico
Published: May 2022

This case describes a peculiar aetiology of severe aortic regurgitation and LVOT obstruction in a young adult with bilateral congenital cataract and uncontrolled hypertension, who presented with heart failure and was found to suffer from aortic valve degeneration with fibromuscular metaplasia and cusp delamination.
Theoretical derivation and clinical validation of the resolution limit of human eye to spherical lens change：A Self-controlled Study
Authors: Yi Zhen , Jie Gao , Kai Cao , Shen Jing , wei Zhang , Yun Dai
Published: May 2022

Purpose: The aim of this study was to deduce theoretically and verify the resolution limit of human eye to spherical lens change for more reasonable design of the trial lenses. Methods: A total of 119 normal subjects with different myopia (not more than -6D) were included . First, the resolution limit of discernible change in spherical power was derived based on the optical model. Then, the subjects were observed to see if they could perceive the changes in spherical power as per the resolution limit and compare the difference in the best corrected visual acuity obtained with the resolution limit and interval of 0.25D. Results: Assuming that the cone cell diameter is 3 μm and the pupil diameter of 4 mm, the theoretically resolution limit was 0.05D. When the diopter of spherical power was increased, the ratios of ability to perceive 0.05D spherical lens change were 98.3% and 96.7% in right and left eyes. When the diopter of spherical power was decreased, the ratios of ability to perceive 0.05D spherical lens change were 78.9% and 83.2% in right and left eyes. The best corrected visual acuity obtained with the 0.05 D interval trial lens was significantly better than in the 0.25 D interval on both eyes (Right eye -0.04±0.07 vs -0.02±0.06, p<0.001; Left eye -0.07±0.06 vs -0.04±0.06, t=8.825, p <0.001). Conclusion: The resolution limit of human eye to spherical lens change was about 0.05D and the better corrected visual acuity can be obtained by adjusting the spherical power at an interval of 0.05D. Trial registration number: ChiCTR2100047074
Attempted Identification of Causal Constituents of Pink Discolouration in White Wines
Authors: Nel A.P. , du Toit W.J. , van Jaarsveld F.P.
Published: May 2022

The pinking phenomenon has been known in the wine world for the past 50 years. The phenomenonoccurs when a white wine turns pink under certain conditions. Since then, a Portuguese study foundmalvidin-3-O-glucoside in Siria grapes making a connection to anthocyanin as the causing agent. Control(K), naturally pinked (NP) and pink induced (PI) Sauvignon blanc wine samples were analysed by LCMSand WineScanTM (Fourier Transform Infrared – FTIR) after Solid Phase Extraction. The monomericanthocyanins were analysed by a pH differential method, and CieLab was used to differentiate colourdifferences between the control and pinked samples. It was found that malvidin-3-O-glucoside was belowthe threshold values to facilitate pinking in Sauvignon blanc wines. Petunidin-3-O-glucoside showed aslight peak in the LC-MS analysis, and together with the malvidin-3-O-glucoside, the potential to pinkthe white wines increased. FTIR results showed that phenols and anthocyanins absorption could not bedistinguished and that there were possibly other compounds involved in the pinking of white wines. Analysisby CieLab expressed the PI wines as a darker pink colour than the control wine and the absorbency valueat 500 nm was at least three times higher for PI than the control, showing the aggressive oxidative natureof H2O2 on wine.
Yeni Seçici Fosfoinositid 3-Kinaz Gama İnhibitörlerin İn Siliko Yaklaşımlarla Belirlenmesi
Authors: KILIÇ Deryanur
Published: May 2022

Lipid kinaz fosfoinositid 3-kinaz (PI3K) izoformları arasındaki ATP bağlanma bölgelerinin yüksek sekans homolojisi göz önüne alınarak, PI3Kγ 'nin seçici inhibitörleri geliştirilmiştir. Bu çalışmada ise bilinen seçici inhibitörünün PI3Kγ enzimine bağlanma afinitesini arttırmak için R-grubu enumerasyon kitaplık taraması gerçekleştirildi. Glide SP/XP doking protokollerine tabi tutularak sanal tarama yapıldı. Taramayla belirlenen moleküller ile PI3Kγ proteini arasındaki etkileşimler incelendi. Ayrıca bu moleküllerin ADME analizleri yapıldı ve hedef moleküller (3, 4) belirlendi. Bu hedef moleküllerin potansiyel PI3Kγ seçici inhibitörleri olabileceği in siliko yaklaşımlarla belirlendi. Ayrıca bu hedef moleküller, PI3Kγ proteinini hedef alan diğer moleküllerin tasarlanması için öncü moleküller olarak da kullanılabilir.
Application of a hybrid model based on GA–ELMAN neural networks and VMD double processing in water level prediction
Authors: Xing Wen Yan , Bai Yu Long , Ding Lin , Yu Qing He , Song Wei
Published: May 2022

Accurate water level prediction is of great importance for water infrastructures such as dams, embankments, and agriculture. However, the water level has nonlinear characteristics, which make it very challenging to accurately predict the water level. This study proposes a combined model based on variational mode decomposition (VMD), a genetic algorithm–the ELMAN neural network–VMD–the autoregressive integrated moving average (ARIMA) model (GA–ELMAN–VMD–ARIMA). Firstly, VMD preprocesses the original water level and predicts each subsequence with the GA–ELMAN model. Then the error sequence is decomposed by VMD and predicted by the ARIMA model. Finally, the predicted water level is corrected. Using three groups of data from different sites, 10 models are established to compare the performance of the model. The results show that the combination of the VMD algorithm and the GA–ELMAN model can improve the performance of prediction on datasets. In addition, it also shows that the VMD double processing can greatly improve the prediction accuracy.
NOTA EM MEMÓRIA À LOURDES MARIA BANDEIRA
Authors: Fortes Lore
Published: May 2022

Nota em memória à Lourdes Maria Bandeira que nos deixou recentemente, no dia 12 de setembro de 2021.
Mechanistic Involvement of Inflammation in Bortezomib-induced Peripheral
Neuropathy
Authors: Gupta Pooja , Goel Lavisha , Pahuja Monika
Published: May 2022

Aim:

To establish the role of inflammation in bortezomib induced peripheral neuropathy (BIPN).

Background:

Peripheral neuropathy is the dose-limiting toxicity of bortezomib which can lead to discontinuation of the treatment. There are multiple mechanisms involved in the disposition of BIPN. However, the role of inflammatory mediators is still under investigation. The complete understanding of inflammatory markers in relation to BIPN can lead to the development of effective therapy for prophylaxis and treatment of peripheral neuropathy.

Objective:

Based on the available data, postulate the role of inflammatory mediators in the development of peripheral neuropathy due to bortezomib.

Method:

The “Pubmed” and “Google Scholar” were used as the search engines with terms like “peripheral neuropathy”, “bortezomib induced peripheral neuropathy” and “inflammation”. Original research, case reports and review articles were considered.

Results:

Bortezomib use is associated with the development of peripheral neuropathy. This effect is due to the damage to Schwann cells and dorsal root ganglion neurons; mitochondrial damage; increased ion channel susceptibility; and higher infiltration of macrophages in the spinal cord. All these factors collectively increase the secretion of inflammatory mediators and lead to the development of neuropathic pain.

Conclusion:

Targeting inflammatory mediators may be helpful in the treatment of bortezomib-induced peripheral neuropathy.
Dual Drug Loaded Potassium-contained Graphene Oxide as a Nanocarrier
in Cocktailed Drug Delivery for the Treatment of Human Breast Cancer
Authors: Tiwari Himani , Karki Neha , Tewari Chetna , Pandey Neema , Rana Anita , Rana Sravendra , Pal Mintu , Sahoo Nanda Gopal
Published: May 2022

Background:

In particular, combinatorial use of anticancer drugs, dual or multiple, onto a specific nanocarrier is one of the most hopeful attempts in the field of drug delivery. The current work reports potassium contained graphene oxide (K-GO) as a nanocarrier in the drug delivery system of two anticancer drugs, gefitinib (GEF) and camptothecin (CPT), simultaneously.

Methods:

To characterize K-GO, K-GO-related single and combined drug systems, different techniques has been performed and studied using spectroscopic tools (Thermo gravimetric Analysis (TGA 4000), UV–visible spectroscopy, Raman spectroscopy, Transmission electron microscopy (TEM)). The in vitro cytotoxicity tests of K-GO, single drug system and the combined drug system were also performed in the human breast cancer MDA-MB-231 cells.

Results:

The release profile of the dual drug conjugates grafted on to the surface of K-GO was found up to 38% in PBS solution over 72hr. The percentage of MDA-MB-231 cell viability were about 18% when treated with K-GO-GEF-CPT combined system, for K-GO, K-GO-GEF, and K-GO-CPT that were only 79 %, 31% and 32 % respectively.

Conclusion:

We studied the loading, release, and delivery of two anticancer drugs onto the fluorescent nanocarrier i.e. K-GO. Due to superb aqueous solubility, excellent biocompatibility and richness of potassium in it make them a promising nanocarrier for single or multiple drug delivery. With this, our novel findings revealed that the loading capacity and cytotoxicity of combined drug loaded system superior then that of individual drug system towards human breast cancer cells.
Antimicrobial Activity of Bioactive Compounds Isolated from Plant
Endophytes
Authors: Chhillar Anil Kumar , Kumari Sudesh , Gulia Prity , Sharma Namita , Dahiya Sweety , Choudhary Pooja
Published: May 2022

To combat the escalating antimicrobial resistance, we need to develop new medications constantly. Recently, scientists more focused on endophytes to search for novel antimicrobial natural products. Endophytes are explored as 'bio-factories' of natural bioactive therapeutic compounds. These are microbes exhibited in plant living tissues without causing any harmful effect.Many therapeutic compounds isolated from endophytes are produced from biosynthetic pathways and belong to various structural groups like terpenoids, steroids, quinines, and phenols. Therapeutic compounds produced by endophytes exhibit different pharmacological properties. Fungal genera more commonly reside to plant tissue as compared to bacterial genera. The current review emphasizes comprehensive data on the antibacterial and antifungal activity and bio-therapeutic compounds produced by fungal and bacterial endophytes of some medicinal plants.
Predicting Rainfall-induced Landslide Using Bee Colony Algorithm Based
on Support Vector Regression
Authors: Lee Zne-Jung , Luo Xianxian
Published: May 2022

Objective:

Natural disasters caused by landslides have done great harm to agricultural
production, people's lives, and property. Considering the slope disaster caused by heavy
rainfall, it is important to establish an early warning system to monitor rainfall disaster
prevention. Huafang University Slope Sustainable Development Research Center (HUSSDRC)
has set up a meteorological station equipped with many sensors to provide early warning for
landslides in Taiwan. Since the amount of data collected will soon become very large, there is a
need to implement strong parallel frameworks containing information from the meteorological
station and the displacement of tiltmeters required to predict the landslides caused by rainfall.
Apache Spark (AS) is a general framework that contains the parallel process engine for data
analytics. In this study, a hybrid method is utilized to predict rainfall-induced landslides. The
proposed method combines support vector regression (SVR) with an artificial bee colony (ABC)
algorithm on the parallel platform of AS. For the proposed method, the RMSE is 0.562, and it is
the best value among these compared approaches.

Methods:

The SVR together with an ABC algorithm is applied to predict rainfall-induced
landslides on AS. The AS can perform parallel data analytics in memory to speed up
performance. However, it is hard to set up the best parameters for SVR. Thereafter, the ABC
algorithm is utilized to search for the best parameters for SVR.

Results:

Compared with other methods, the proposed method results provide the smallest root
mean square error (RMSE) for predicting rainfall-induced landslides.

Conclusion:

A hybrid method is proposed to predict rainfall-induced landslides. The proposed
hybrid method is based on the parallel platform of AS in which SVR predicts the rainfall-induced
landslides, and the ABC algorithm adjusts the best values of parameters for SVR. The
comparison of RMSE for the method with existing approaches shows that the method indeed has
the best value among compared approaches.
Functional and Technical Aspects of Self-management mHealth Apps: Systematic App Search and Literature Review
Authors: Alwakeel Lyan , Lano Kevin
Published: May 2022

Background

Although the past decade has witnessed the development of many self-management mobile health (mHealth) apps that enable users to monitor their health and activities independently, there is a general lack of empirical evidence on the functional and technical aspects of self-management mHealth apps from a software engineering perspective.

Objective

This study aims to systematically identify the characteristics and challenges of self-management mHealth apps, focusing on functionalities, design, development, and evaluation methods, as well as to specify the differences and similarities between published research papers and commercial and open-source apps.

Methods

This research was divided into 3 main phases to achieve the expected goal. The first phase involved reviewing peer-reviewed academic research papers from 7 digital libraries, and the second phase involved reviewing and evaluating apps available on Android and iOS app stores using the Mobile Application Rating Scale. Finally, the third phase involved analyzing and evaluating open-source apps from GitHub.

Results

In total, 52 research papers, 42 app store apps, and 24 open-source apps were analyzed, synthesized, and reported. We found that the development of self-management mHealth apps requires significant time, effort, and cost because of their complexity and specific requirements, such as the use of machine learning algorithms, external services, and built-in technologies. In general, self-management mHealth apps are similar in their focus, user interface components, navigation and structure, services and technologies, authentication features, and architecture and patterns. However, they differ in terms of the use of machine learning, processing techniques, key functionalities, inference of machine learning knowledge, logging mechanisms, evaluation techniques, and challenges.

Conclusions

Self-management mHealth apps may offer an essential means of managing users’ health, expecting to assist users in continuously monitoring their health and encourage them to adopt healthy habits. However, developing an efficient and intelligent self-management mHealth app with the ability to reduce resource consumption and processing time, as well as increase performance, is still under research and development. In addition, there is a need to find an automated process for evaluating and selecting suitable machine learning algorithms for the self-management of mHealth apps. We believe that these issues can be avoided or significantly reduced by using a model-driven engineering approach with a decision support system to accelerate and ameliorate the development process and quality of self-management mHealth apps.
Age- and Sex-Specific Association Between Vegetation Cover and Mental Health Disorders: Bayesian Spatial Study
Authors: Abdullah Abu Yousuf Md , Law Jane , Perlman Christopher M , Butt Zahid A
Published: May 2022

Background

Despite growing evidence that reduced vegetation cover could be a putative risk factor for mental health disorders, the age- and the sex-specific association between vegetation and mental health disorder cases in urban areas is poorly understood. However, with rapid urbanization across the globe, there is an urgent need to study this association and understand the potential impact of vegetation loss on the mental well-being of urban residents.

Objective

This study aims to analyze the spatial association between vegetation cover and the age- and sex-stratified mental health disorder cases in the neighborhoods of Toronto, Canada.

Methods

We used remote sensing to detect urban vegetation and Bayesian spatial hierarchical modeling to analyze the relationship between vegetation cover and mental health disorder cases. Specifically, an Enhanced Vegetation Index was used to detect urban vegetation, and Bayesian Poisson lognormal models were implemented to study the association between vegetation and mental health disorder cases of males and females in the 0-19, 20-44, 45-64, and ≥65 years age groups, after controlling for marginalization and unmeasured (latent) spatial and nonspatial covariates at the neighborhood level.

Results

The results suggest that even after adjusting for marginalization, there were significant age- and sex-specific effects of vegetation on the prevalence of mental health disorders in Toronto. Mental health disorders were negatively associated with the vegetation cover for males aged 0-19 years (−7.009; 95% CI −13.130 to −0.980) and for both males (−4.544; 95% CI −8.224 to −0.895) and females (−3.513; 95% CI −6.289 to −0.681) aged 20-44 years. However, for older adults in the 45-64 and ≥65 years age groups, only the marginalization covariates were significantly associated with mental health disorder cases. In addition, a substantial influence of the unmeasured (latent) and spatially structured covariates was detected in each model (relative contributions>0.7), suggesting that the variations in area-specific relative risk were mainly spatial in nature.

Conclusions

As significant and negative associations between vegetation and mental health disorder cases were found for young males and females, investments in urban greenery can help reduce the future burden of mental health disorders in Canada. The findings highlight the urgent need to understand the age-sex dynamics of the interaction between surrounding vegetation and urban dwellers and its subsequent impact on mental well-being.
Potential of Online Recruitment Among 15-25-Year Olds: Feasibility Randomized Controlled Trial
Authors: Hoffmann Sofie Have , Paldam Folker Anna , Buskbjerg Mark , Paldam Folker Marie , Huber Jezek Andrea , Lyngsø Svarta Durita , Nielsen Sølvhøj Ida , Thygesen Lau
Published: May 2022

Background

Recruiting young people for health and intervention studies by traditional methods has become increasingly challenging. The widespread access to the internet may offer new strategies for online recruitment.

Objective

This study aims to assess the feasibility of online recruitment for a randomized controlled trial evaluating the effectiveness of Mindhelper, an online national youth mental health promotion service. The target group was young Danes aged 15-25 in need of mental health promotion.

Methods

Advertisements for recruitment were set up on Facebook and Instagram. Browser history was collected for a subsample of participants. We compared basic characteristics of participants who completed the baseline survey and those who did not, as well as of participants who completed the follow-up survey and those who were lost to follow-up. The significance of these differences was tested with the Pearson chi-square test.

Results

A total of 560 Danes aged 15-25 were recruited within 1 month (ie, had completed the baseline survey). Among these participants, 356 (63.6%) were at risk of developing depression or stress. The average advertisement price per participant completing the baseline questionnaire was 31 DKK (approximately €4 [US $4.2]). The follow-up survey was sent to 545 participants, of whom 318 (58.3%) completed the survey. No statistically significant differences were observed in baseline characteristics of participants who completed the follow-up and those who were lost to follow-up in terms of gender (P=.45), age (P=.35), occupation (P=.17), cohabitation (P=.90), mental well-being (P=.26), mental illness (P=.44; impact of the illness, P=.05), or use of the internet when having a hard time (P=.92).

Conclusions

We conclude that it is feasible to recruit young Danes online for a large-scale randomized controlled trial assessing the effectiveness of Mindhelper.

Trial Registration

ClinicalTrials.gov NCT04650906; https://clinicaltrials.gov/ct2/show/NCT04650906
Assessing the Views and Needs of People at High Risk of Gestational Diabetes Mellitus for the Development of Mobile Health Apps: Descriptive Qualitative Study
Authors: Duan Beibei , Liu Zhe , Liu Weiwei , Gou Baohua
Published: May 2022

Background

Early prevention of gestational diabetes mellitus (GDM) can reduce the incidence of not only GDM, but also adverse perinatal pregnancy outcomes. Moreover, it is of great significance to prevent or reduce the occurrence of type 2 diabetes. Mobile health (mHealth) apps can help pregnant women effectively prevent GDM by providing risk prediction, lifestyle support, peer support, professional support, and other functions. Before designing mHealth apps, developers must understand the views and needs of pregnant women, and closely combine users’ needs to develop app functions, in order to better improve user experience and increase the usage rate of these apps in the future.

Objective

The objective of this study was to understand the views of the high-risk population of gestational diabetes mellitus on the development of mobile health apps and the demand for app functions, so as to provide a basis for the development of gestational diabetes mellitus prevention apps.

Methods

Fifteen pregnant women with at least one risk factor for gestational diabetes were recruited from July to September 2021, and were interviewed via a semistructured interview using the purpose sampling method. The transcribed data were analyzed by the traditional content analysis method, and themes were extracted.

Results

Respondents wanted to develop user-friendly and fully functional mobile apps for the prevention of gestational diabetes mellitus. Pregnant women's requirements for app function development include: personalized customization, accurate information support, interactive design, practical tool support, visual presentation, convenient professional support, peer support, reasonable reminder function, appropriate maternal and infant auxiliary function, and differentiated incentive function.These function settings can encourage pregnant women to improve or maintain healthy living habits during their use of the app

Conclusions

This study discusses the functional requirements of target users for gestational diabetes mellitus prevention apps, which can provide reference for the development of future applications.
Durability of the Treatment Effects of an 8-Week Self-administered Home-Based Virtual Reality Program for Chronic Low Back Pain: 6-Month Follow-up Study of a Randomized Clinical Trial
Authors: Garcia Laura , Birckhead Brandon , Krishnamurthy Parthasarathy , Mackey Ian , Sackman Josh , Salmasi Vafi , Louis Robert , Castro Carina , Maddox Roselani , Maddox Todd , Darnall Beth D
Published: May 2022

Background

We previously reported the efficacy of an 8-week home-based therapeutic immersive virtual reality (VR) program in a double-blind randomized placebo-controlled study. Community-based adults with self-reported chronic low back pain were randomized 1:1 to receive either (1) a 56-day immersive therapeutic pain relief skills VR program (EaseVRx) or (2) a 56-day sham VR program. Immediate posttreatment results revealed the superiority of therapeutic VR over sham VR for reducing pain intensity; pain-related interference with activity, mood, and stress (but not sleep); physical function; and sleep disturbance. At 3 months posttreatment, therapeutic VR maintained superiority for reducing pain intensity and pain-related interference with activity, stress, and sleep (new finding).

Objective

This study assessed between-group and within-group treatment effects 6 months posttreatment to determine the extended efficacy, magnitude of efficacy, and clinical importance of home-based therapeutic VR.

Methods

E-surveys were deployed at pretreatment, end-of-treatment, and posttreatment months 1, 2, 3, and 6. Self-reported data for 188 participants were analyzed in a mixed-model framework using a marginal model to allow for correlated responses across the repeated measures. Primary outcomes were pain intensity and pain-related interference with activity, mood, stress, and sleep at 6 months posttreatment. Secondary outcomes were Patient-Reported Outcome Measurement Information System (PROMIS) sleep disturbance and physical function.

Results

Therapeutic VR maintained significant and clinically meaningful effects 6 months posttreatment and remained superior to sham VR for reducing pain intensity and pain-related interference with activity, stress, and sleep (ds=0.44-0.54; P<.003). Between-group comparisons for physical function and sleep disturbance showed superiority of EaseVRx over sham VR (ds=0.34; P=.02 and ds=0.46; P<.001, respectively). Participants were encouraged to contact study staff with any problems experienced during treatment; however, no participants contacted study staff to report adverse events of any type, including nausea and motion sickness.

Conclusions

Our 8-week home-based VR pain management program caused important reductions in pain intensity and interference up to 6 months after treatment. Additional studies are needed in diverse samples.

Trial Registration

ClinicalTrials.gov NCT04415177; https://clinicaltrials.gov/ct2/show/NCT04415177

International Registered Report Identifier (IRRID)

RR2-10.2196/25291
Topic Modelling and Sentiment Analysis for Twitter Freedom Convoy 2022 in Canada: An Observational Study (Preprint)
Authors: Tsao Shu-Feng , Huang Shih-Hsio , Bin Noon Gaya , Li Lianghua , Yang Yang , Chen Helen , Butt Zahid A.
Published: May 2022

BACKGROUND

Truck drivers gathered at Ottawa, Canada for “Freedom Convoy” to protest the COVID-19 vaccine mandate that went into effect on in mid-January 2022. The convoy has led to controversies and debates on social media, especially on Twitter.

OBJECTIVE

This study aimed to investigate public discourses and sentiments regarding the Freedom Convoy on Twitter.

METHODS

English tweets were retrieved from Twitter API from January 15 to February 14, 2022 when the Freedom Convoy occurred. Unsupervised topic modelling and sentiment analysis were applied to identify topics and sentiments for each topic.

RESULTS

Five topics has resulted from the topic modelling, including protest rally, support extremes, general convoy support, government, and police. Overall, sentiments for each topic have begun with more positive or negative sentiments but approached to neutral over time.

CONCLUSIONS

The results have shown that sentiments towards the Freedom Convoy generally tended to be positive. Five topics were identified from the data collected, and these topics highly correlated with the events of the convoy. Our study also demonstrated that a mixed approach of unsupervised machine learning techniques and manual validation could generate timely evidence.
Smart In-Line Inspection System
Authors: Zade Mr. Saurabh , Patil Ms. Samruddhi , Jadhav Ms. Priyanka , Lawhare Mr. Adarsh , Pawar Prof. Nilesh
Published: May 2022

Abstract: The goal of this paper is to propose an automatic system to assert the dimensional (length) accuracy of a product and the rejection of the defective products. Use of IR sensor is used to cause detection of object. after arrival of project then the motor starts running and as well as start conveyor belt. A laser is used which cuts the product and hence the system knows when the product would pass through the camera. The camera then clicks the image of each product and then compares with the image of the product with the actual dimensions. In this way a defective product can be easily identified after which it is removed from the production line with the help of a pneumatic cylinder. Keywords: Dimensional accuracy, Automation, Motor, Micro Controller, IR Sensor, Camera and Conveyer belt.
Trainee Toolz
Authors: Saxena Rachit , Gupta Sarthak , Upadhyay Tanya , Siddiqui Mohd. Faizan
Published: May 2022

Abstract: Over the past few years, the usage of online learning has become the most standard and important part of learning practices among the graduating students. This is the basic tool used by both teachers and students. This website is developed promising the students and teachers involvement enabling distant learning is easy and possible. Our website uses new technologies to make the educating a better experience. There are many platform available online for the students to help them study and train them in their fields. But as of now, there is a few of other platform that help teachers keep the track of student’s performances. This website consists of all of study material available for the computer science students. They can check their understanding of the specific subject as well as specific topic using the quiz provided on our website. When in doubt students can interact with the teachers and clarify their doubts. The website consists of the study material , quizzes to practice their knowledge , student-teacher interaction for the better understanding of the topic, peer-to-peer interaction for the better and healthy competition. This is a platform which not only helps the student to learn and prepare for their university exams but also helps them widen their horizon and helps them in participating in the competitive exams too. A platform where students can interact with their peers, teachers in order to share their views, opinions and doubts. A place where they can compete themselves for college academics and competitive exams using the percentile grading system. Usually it is seen that there is a wide gap of hands-on programming experience or knowledge among the graduating students. It is seen that they only have the placement required knowledge which affects them in long run. So, our motive is to build the web app which can help student boost their coding skill and master their programming knowledge which can help them compete in the competitive programming competitions throughout their life. Here, students can share their views on blogs which later can be evaluated by the teachers and they can share their opinions on them. There are several apis used here which can help students to practice coding . They can even compete among themselves for the better understanding of the concept and the different approach to the problem they might be unaware of and in this way they will have a better understanding of the topics. And after each problem statement students can evaluate their score based on their performance.
DC Booster with Voltage Multiplier for Renewable Energy Sources
Authors: R Rashmi , Kumar T. Senthil
Published: May 2022

Abstract: An high step-up interleaved dc-dc converter is proposed for high efficiency and voltage gain applications. The configuration is proposed of modified two-phase interleaved boost converter with parallel-input series-output connections and a voltage multiplier module stacking on the output side. In the proposed converter, the parallel-input connection is used to share the input current and to reduce the conduction losses, while the series-output connection and voltage multiplier module are deployed to obtain the high voltage gain without operating at maximum duty ratio. In addition, the input current ripple is reduced due to the interleaved operation. The voltage stresses on the power switches are extremely lower than the output voltage such that the low-voltage-rated MOSFETs with low conduction resistor are available to reduce the conduction losses and to improve the conversion efficiency. Meanwhile, the output diode reverse-recovery problem is alleviated by the leakage inductance of the coupled inductors. Finally, the experimental results from a 1-kW prototype are given to validate the effectiveness of the proposed converter. Keywords: high step-up dc-dc converter, interleaved operation, voltage multiplier module, reverse-recovery problem
Realtime Chat Application using Client-Server Architecture
Authors: Shah Amber , Servar Md Gulam , Tomer Ms. Uma
Published: May 2022

Abstract: As we know, this chat system started early mid-1980 and was very popular at that time. Chat application refers to communication between two entities i.e. (sender) and (receiver). If we talk about security and internet penetration is increasing day by day. We focused on this and in this Application, we make a server and several client connection points in which the clients speak with the server utilizing an attachment module. These attachments are inside endpoints for sending and getting information. A solitary organization will have two attachments. This program is executed utilizing TCP attachment [TCP alludes to association oriented]. This attachment will be associated with some port in the machine or local host. On account of the client, we will interface an attachment to that server, on the very port that the server-side code is utilizing. Keywords: Socket, Client, GUI, Local Host, Tkinter
Study of the Various Properties of the Gravely Soil by Adding Bitumen Emulsion as Stabilizing Agent
Authors: Singh Aditya , Dewangan Nupoor
Published: May 2022

Abstract: In this research the excessive elastic deflections that would result in fatigue cracking within the layer or in overlying layers and to Preventive measure for excessive permanent deformation through densification is studied. The main objectives of the Research Work is to study the properties of the gravely soil by adding bitumen emulsion as stabilizing agent and to find the California Bearing Ratio value of soil subgrade. to optimize the strength of soil and its dry density properties.
Utilization of Coconut Shell as Greener Concrete
Authors: Prajapati Saraswati , Tirpude Kirti Sahu
Published: May 2022

Abstract: Every year, the world produces millions of tons of waste. Nowadays the production of waste material is increasing day by day. Disposal of these waste materials is very difficult. Recycling garbage also requires energy and emits pollutions. Thus need to find some alternative coarse material that can be used as replacement of coarse aggregate. In this study coconut shell is using in place of coarse aggregate. It is easily available in nature in low cost. It is a agricultural waste which pollute the environment. Coconut shell has their own potential to use as a construction material in construction industry. A large amount of coconut shell is generated in India from temples and industries of coconut product. It’s non degradable material. It takes 100- 200years to dispose in nature. In this study coconut shell is taken as a greener concrete. Greener concrete can be defined as concrete which is made up of waste of material. Coconut shell is easily available in nature. It’s eco friendly and cost effective material. According to laboratory test result carried out using coconut shell as a replacement of coarse aggregate used in concrete. In this particular study M20 grade of concrete was prepared by using coconut shell as coarse aggregate. In this study for experimental work coarse aggregate is replaced by 5%, 10%, 15%, 20%, 25%, 30% and 35% of coconut shell. Keywords: Coconut shell, Greener concrete.
Experimental Study to Analyze the Effect of Silicon Carbide on the Mechanical Properties on AA3103
Authors: Kishore Dr. M.V.
Published: May 2022

Abstract: Metal matrix composites (MMCs), such as SiC particle reinforced Al, are one of the widely known composites because of their superior properties such as high strength, hardness, stiffness, wear, and corrosion resistance. These MMC’s are widely used in aircrafts, automobiles, electronic equipment’s, and sporting goods. Hence a solution is needed to solve the issues like selection of material based on their mechanical properties. In this study aluminum (Al-3103)/SiC Silicon carbide reinforced particles metal-matrix composites (MMCs) are fabricated by induction casting and manual stirring. The MMCs bars are prepared with varying the reinforced particles by weight fraction ranging from 5%, 10%, and 15%. Different tests are carried out on these MMC and base alloy to study the mechanical properties like tensile strength, hardness, and wear rate. It is observed that the addition of silicon carbide increased the tensile strength and hardness and also the wear resistance Keywords: AA 3103, Silicon carbide, Tensile strength, wear resistance
GSM and GPS Based Accident Detection System
Authors: Dangat Prof. M. T. , Lonkar Akshay , Bharambe Naresh , Pujari Rahul , Surana Rishabh
Published: May 2022

Abstract: With the growing population the use of vehicles has become superfluous and this has led to increase the hazards and the road accidents, which causes huge loss of life because of the poor emergency facilities. The purpose of the project is to find the vehicle where it is and locate the vehicle by means of sending a message using a system which is placed inside of vehicle system, Most of the times we may not be able to find accident location because we don't know where accident will happen. When a vehicle meets with an accident immediately Vibration sensor will detect the signal, and sends it to Arduino microcontroller traffic. Microcontroller sends the alert message through the GSM modem including the location to the police station or a rescue team. So the police can immediately trace the location through the GPS modem after receiving the information
Cooking at Home.com
Authors: Kumar Deepesh , Saini Deepak , Tyagi Chirag , Ikram Dr. Tanveer
Published: May 2022

Abstract: We all know that food is necessary for all living beings to survive provides us energy to do work and in maintaining good health. Not every human being knows to make food he or she has to take help from other persons or newspaper and various other resources to know the recipe of food. With the help of technology and science we can easily get the recipe of certain food online. This will help human beings to make different kind of force without help of others and without any cost. In this project HTML, CSS, SASS, AWS, node, JavaScript technology used tools and services are used to make the recipe available to person. Keywords: cooking, home, food preparation, diet, health.
Human Behaviour Detection by Reading Facial Expression
Authors: Singh Vaibhav , Chauhan Arjun , . Aryan , Tyagi Arpit , Kumar Dr. Vimal , Kumar Mr. Amit
Published: May 2022

Abstract: There are many way to by which human being communicate with each other verbal, sign language or facial expression are one of them. Here we propose artificial intelligence based facial expression detection system by which we can detect behaviour of human being by computer system. Facial expression detection have lot of real life applications including computer to human interaction, Human behaviour reorganisation, cognitive study, emotion analysis, personality development etc. Here we set a study which uses a new technique for facial expressions using single frame uses combination of vector and geometrical feature based classification method Generally to study human face the image of face is divided into small grid of pixels . In this Study we have divided whole face into sub region of local regions. This technique acquire most important sub regions of the domain and start collecting most important sub regions incrementally which enhance accuracy and speed. The consequences of looks acknowledgment utilizing highlights from space explicit locations , likewise contrasted and the outcomes acquired utilizing all encompassing portrayal. The presentation of the proposed look acknowledgment framework has been approved on openly accessible expanded Cohn-Kanade (CK+) look informational collections.
Scholarly Publishing in Mozambique: Research Institutions, Researchers, and Articles
Authors: Matiquite Policarpo , Rodrigues Rosângela Schwarz
Published: May 2022

This article describes scientific journals indexed in the Web of Science from 2000 to 2015 featuring Mozambican authors or researchers. The study sample included 1,536 articles in which 896 Mozambican authors and their institutions were identified. Mozambican authors published primarily in subscription-based journals from the United States and the United Kingdom. A Google Scholar search for the same authors yielded 423 documents, including articles published in 72 journals in 14 countries. Mozambican research is often published in English with an international partner in Western countries.Cet article décrit des revues savantes indexées dans le Web of Science entre 2000 et 2015 qui incluent des auteurs ou chercheurs mozambicains. L’échantillon de cette étude comprend 1 536 articles dans lesquels on a identifié 896 auteurs mozambicains et leurs institutions. Les auteurs mozambicains ont principalement publié dans des revues par abonnement américaines et britanniques. Une recherche de ces mêmes auteurs avec Google Scholar a relevé 423 documents, y compris des articles publiés dans 72 revues de 14 pays. La recherche mozambicaine est souvent publiée en anglais en collaboration avec un partenaire d’un pays occidental.
A novel test specimen for mixed mode I/II/III fracture study in brittle materials
Authors: jalayer reza , Saboori Behnam , Ayatollahi M.R.
Published: May 2022

A new test specimen is proposed for investigation of mixed mode I/II/III
fracture of materials. In the test specimen, by displacing the position
of an inclined crack from the middle of the rectangular specimen, in
addition to mode II loading, mixed mode I/III loading conditions are
created under anti-symmetric four-point bending. To examine the
applicability of the test set-up, the specimens made of PMMA
(Polymethyl-methacrylate) with three crack angles and three different
positions of crack with reference to the middle of the specimen are
tested. The experimental fracture loads are compared with the
theoretical predictions of the maximum principal stress fracture
criterion. There is a satisfactory consistency between the test and
theoretical results. Although the proposed test configuration has
limitations in applying the mixed modes of I/III and II/III, it is an
efficient test configuration easier and less expensive than other
configurations utilizing complex crack geometry or complicated loading
fixtures.
Parameterizing the particle size distribution of macrobial eDNA using the Weibull distribution model
Authors: Jo Toshiaki
Published: May 2022

Knowledge of the persistent state of environmental DNA (eDNA) particles
in water and modeling its particle size distribution (PSD) is crucial to
refine the eDNA sampling strategy. Previous studies measured eDNA
concentrations at different size fractions to infer eDNA PSDs, whereas
such discrete PSDs greatly depend on filter pore sizes used and may
potentially bias our understanding of eDNA states. Here, I evaluated the
Weibull distribution model as a tool for parameterizing eDNA PSDs.
First, of the selected models developed for PSDs, the Weibull model was
fitted most accurately to the eDNA PSD. Second, the Weibull parameters
significantly varied depending on target genetic regions
(mitochondrial/nuclear), time passages, and species, which also
substantially changed the eDNA capture efficiency at a given filter pore
size. According to the results, the higher detectability of multi-copy
nuclear eDNA than mitochondrial one could partly be accounted for
differences in their PSDs, a larger pore size filter could be suitable
to detect the eDNA releases associating incidental events, and the
optimum filter pore size for sufficient eDNA detection could be
different among the taxa. Although further consideration is needed, this
study provided the groundwork for optimizing the strategy of aqueous
eDNA sampling, which contributes to efficient biodiversity conservation
and ecosystem management.