bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing the Implementation of Digital Innovations in Response to the COVID-19 Pandemic to Address Key Public Health Functions: Scoping Review of Academic and Nonacademic Literature (Preprint)
Authors: Francombe Joseph , Ali Gemma-Claire , Gloinson Emily Ryen , Feijao Carolina , Morley Katherine I , Gunashekar Salil , de Carvalho Gomes Helena
Published: July 2022

BACKGROUND

Digital technologies have been central to efforts to respond to the COVID-19 pandemic. In this context, a range of literature has reported on developments regarding the implementation of new digital technologies for COVID-19–related surveillance, prevention, and control.

OBJECTIVE

In this study, scoping reviews of academic and nonacademic literature were undertaken to obtain an overview of the evidence regarding digital innovations implemented to address key public health functions in the context of the COVID-19 pandemic. This study aimed to expand on the work of existing reviews by drawing on additional data sources (including nonacademic sources) by considering literature published over a longer time frame and analyzing data in terms of the number of unique digital innovations.

METHODS

We conducted a scoping review of the academic literature published between January 1, 2020, and September 15, 2020, supplemented by a further scoping review of selected nonacademic literature published between January 1, 2020, and October 13, 2020. Both reviews followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) approach.

RESULTS

A total of 226 academic articles and 406 nonacademic articles were included. The included articles provided evidence of 561 (academic literature) and 497 (nonacademic literature) unique digital innovations. The most common implementation settings for digital innovations were the United States, China, India, and the United Kingdom. Technologies most commonly used by digital innovations were those belonging to the high-level technology group of integrated and ubiquitous fixed and mobile networks. The key public health functions most commonly addressed by digital innovations were communication and collaboration and surveillance and monitoring.

CONCLUSIONS

Digital innovations implemented in response to the COVID-19 pandemic have been wide ranging in terms of their implementation settings, the digital technologies used, and the public health functions addressed. However, evidence gathered through this study also points to a range of barriers that have affected the successful implementation of digital technologies for public health functions. It is also evident that many digital innovations implemented in response to the COVID-19 pandemic are yet to be formally evaluated or assessed.
Consent and Deidentification of Patient Images in Dermatology Journals: Observational Study (Preprint)
Authors: Nanda Japbani K , Marchetti Michael Armando
Published: July 2022

UNSTRUCTURED

An abstract is not required for JMIR Dermatology research letter submissions.
Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation (Preprint)
Authors: Jiang Chao , Ngo Victoria , Chapman Richard , Yu Yue , Liu Hongfang , Jiang Guoqian , Zong Nansu
Published: July 2022

BACKGROUND

Multiple types of biomedical associations of knowledge graphs, including COVID-19–related ones, are constructed based on co-occurring biomedical entities retrieved from recent literature. However, the applications derived from these raw graphs (eg, association predictions among genes, drugs, and diseases) have a high probability of false-positive predictions as co-occurrences in the literature do not always mean there is a true biomedical association between two entities.

OBJECTIVE

Data quality plays an important role in training deep neural network models; however, most of the current work in this area has been focused on improving a model’s performance with the assumption that the preprocessed data are clean. Here, we studied how to remove noise from raw knowledge graphs with limited labeled information.

METHODS

The proposed framework used generative-based deep neural networks to generate a graph that can distinguish the unknown associations in the raw training graph. Two generative adversarial network models, NetGAN and Cross-Entropy Low-rank Logits (CELL), were adopted for the edge classification (ie, link prediction), leveraging unlabeled link information based on a real knowledge graph built from LitCovid and Pubtator.

RESULTS

The performance of link prediction, especially in the extreme case of training data versus test data at a ratio of 1:9, demonstrated that the proposed method still achieved favorable results (area under the receiver operating characteristic curve >0.8 for the synthetic data set and 0.7 for the real data set), despite the limited amount of testing data available.

CONCLUSIONS

Our preliminary findings showed the proposed framework achieved promising results for removing noise during data preprocessing of the biomedical knowledge graph, potentially improving the performance of downstream applications by providing cleaner data.
Effects of Novel, Whole-body Movement–Based Interventions on Locomotor Skills in Children With Autism Spectrum Disorder: Randomized Controlled Trial Comparing Face-to-face and Telehealth Modes of Intervention Delivery (Preprint)
Authors: Delepine Emily C , Takillapati Sruthi , Amonkar Nidhi , Su Wan-Chun , Cleffi Corina , Bhat Anjana , Srinivasan Sudha
Published: July 2022

BACKGROUND

Autism spectrum disorder (ASD) is a neurodevelopmental disorder limiting a child’s motor performance to a level half their chronological age. Due to COVID-19, there has been growing research on the use of telehealth-based interventions in the care of children with ASD.

OBJECTIVE

Based on previous research from our lab, this study assessed the effects of 2 novel, whole-body movement interventions (creative movement and general movement) compared to a standard-of-care, seated play intervention using a randomized controlled trial design. Interventions were delivered either face-to-face (F2F) or via telehealth (TH) across all groups.

METHODS

In total, 45 children with ASD (aged 5-14 years) participated in a 10-week study. Children were matched on age and level of functioning and then randomly assigned to the Play (creative movement), Move (general movement), or Standard-of-care control (seated play) group (n=15 per group) to receive 8 weeks of intervention F2F or via TH. The interventions were provided twice a week for 8 weeks, with each session lasting for around 1 to 1.5 hours. The locomotor subtest of the Test of Gross Motor Development was administered at pretest and posttest to assess the form and accuracy of locomotor skills (running, galloping, hopping, leaping, horizontal jump, sliding, and skipping).

RESULTS

Improvements were seen in overall standard scores in the Play (pretest: mean 6.53, SE 0.97; posttest: mean 8.60, SE 0.97; P<.05) and Move groups (pretest: mean 6.07, SE 0.96; posttest: mean 8.07, SE 0.92; P<.05) but not in the Create group (pretest: mean 6.13, SE 0.88; posttest: mean 6.80, SE 0.87; P.05). Specifically, 75% of children seen via TH and 57.1% of children seen F2F improved in the Play group, and 89% of children seen via TH and 50% of children seen F2F improved in the Move group.

CONCLUSIONS

Our pilot data suggest that TH is a viable option for movement intervention delivery and can be used to promote locomotor skills in children with ASD. Broadly, movement-based interventions must be included in the plan of care for children with ASD, given their significant challenges with movement performance.
Adaptation of a Theory-Based, Clinic-Affiliated Smartphone App to Improve HIV Testing and Pre-exposure Prophylaxis Uptake Among Gay, Bisexual, and Other Men Who Have Sex With Men in Malaysia (Preprint)
Authors: Rosen Aviana O , Wickersham Jeffrey A , Altice Frederick L , Khati Antoine , Luces Jeffrey Ralph , Ni Zhao , Zhou Xin , Azwa Iskandar , Kamarulzaman Adeeba , Ab Halim Mohd Akbar , Shrestha Roman
Published: July 2022

BACKGROUND

In Malaysia, HIV disproportionately affects gay, bisexual, and other men who have sex with men (GBMSM). Homosexuality and substance use are criminalized in Malaysia, making GBMSM bear multilevels of social stigma and discrimination, including in health care. Mobile health (mHealth), particularly smartphone apps, is a promising and cost-effective strategy for reaching stigmatized and hard-to-reach populations like GBMSM and linking them to HIV prevention services (eg, HIV testing and pre-exposure prophylaxis [PrEP]), particularly in the context of COVID-19.

OBJECTIVE

This study aimed to adapt the HealthMindr app (Emory University), which was developed with GBMSM in the United States, to improve HIV testing and PrEP uptake for GBMSM in Malaysia.

METHODS

We conducted online focus group discussions (FGDs) between August and September 2021 with 20 GBMSM and 16 community stakeholders (eg, doctors, nurses, pharmacists, and nongovernmental organization staff). Participants were asked questions regarding their preferences for functions and features in mHealth apps among GBMSM and suggestions for adapting the HealthMindr app to the Malaysian context. Each session was digitally recorded and transcribed. Transcripts were inductively coded using Dedoose software (University of California, Los Angeles) and analyzed to identify and interpret emerging themes.

RESULTS

The FGDs with GBMSM revealed preferences for interfacing with apps to access HIV testing, PrEP, and counseling services. Stakeholders showed strong interest in using the app-based platform to deliver integrated care (eg, HIV and mental health). The key themes mostly focused on adaptation and refinement for the Malaysian context and were related to cultural and stylistic preferences (design and user interface), engagement strategies (reward systems, marketing campaigns, and reminders), and recommendations for new functions (enhanced communication options via chat and discussion forums) in a one-stop hub for all HIV prevention needs (HIV self-testing, PrEP, and postexposure prophylaxis) that minimize privacy and confidentiality risks.

CONCLUSIONS

Our data suggest that a tailored HIV-prevention app would be acceptable for GBMSM in Malaysia. The findings provided detailed recommendations for the successful adaptation and refinement of the existing platform for optimal use in the Malaysian context.
PM-Search: State-of-the-art Evidence Retriever for Precision Medicine: Algorithm Development and Validation (Preprint)
Authors: Jin Qiao , Tan Chuanqi , Chen Mosha , Yan Ming , Zhang Ningyu , Huang Songfang , Liu Xiaozhong
Published: July 2022

BACKGROUND

Under the paradigm of Precision Medicine (PM), patients with the same disease can receive different personalized therapies according to their clinical and genetic features. These therapies are determined by the totality of all available clinical evidence, including results from case reports, clinical trials and systematic reviews. However, it is increasingly difficult for physicians to find such evidence from scientific publications, whose size is growing at an unprecedented pace.

OBJECTIVE

In this work, we propose the PM-Search system to facilitate the retrieval of clinical literature that contains critical evidence for or against giving specific therapies to certain cancer patients.

METHODS

The PM-Search system combines a Baseline Retriever that selects document candidates at large scale and an Evidence Re-ranker that finely reorders the candidates based on their evidence quality. The Baseline Retriever uses query expansion and keyword matching with the Elasticsearch retrieval engine, and the Evidence Re-ranker fits pre-trained language models to expert annotations that are derived from an active learning strategy.

RESULTS

The PM-Search system achieves the best performance in the retrieval of high-quality clinical evidence at the TREC PM Track 2020, outperforming the second-ranking systems by large margins (0.4780 v.s. 0.4238 for standard NDCG@30 and 0.4519 v.s. 0.4193 for exponential NDCG@30).

CONCLUSIONS

We present PM-Search, a state-of-the-art search engine to assist the practicing of evidence-based PM. PM-Search uses a novel BioBERT-based active learning strategy that models evidence quality and improves the model performance. Our analyses show that evidence quality is a distinct aspect from the general relevance, and specific modeling of evidence quality beyond general relevance is required for a PM search engine.
Analyzing Public Conversations of Heart Disease and Heart Health on Facebook from 2016 to 2021: A Retrospective Observational Study (Preprint)
Authors: Xue Haoning , Zhang Jingwen , Sagae Kenji , Nishimine Brian , Fukuoka Yoshimi
Published: July 2022

BACKGROUND

Heart disease continues to be the leading cause of death for men and women in the United States. The COVID-19 pandemic has further led to increases in various long-term cardiovascular complications.

OBJECTIVE

This study analyzes public conversations related to heart disease and heart health on Facebook in terms of their thematic topics and sentiments. In addition, it provides in-depth analyses of two sub-topics with important practical implications: heart health for women and heart health during the COVID-19 pandemic.

METHODS

We collected 34,885 posts and 51,835 comments spanning June 2016 to June 2021 that are related to heart disease and health from public Facebook pages and groups. We used Latent Dirichlet Allocation (LDA) topic modeling to extract discussion topics illuminating the public's interests and concerns regarding heart disease and heart health. We also used Linguistic Inquiry and Word Count (LIWC) to identify the public sentiments on heart health.

RESULTS

We observed an increase in discussions related to heart health on Facebook. Posts and comments increased from 3,102 and 3,632 in 2016 to 8,550 (176% increase) and 14,617 (302% increase) in 2021. Overall, 35.4% of posts were created after January 2020, the start of the COVID-19 outbreak. In total, 13,677 posts (39.21%) were contributed by non-profit health organizations. We identified 6 topics in posts (heart health promotion, personal experiences, risk reduction education, heart health promotion for women, educational information, and doctor's live discussion sessions). We identified 6 topics in the comments (personal experiences, survivor stories, risk reduction, religion, medical questions, and appreciation of doctors and information on heart health). During the pandemic (January 2020 to June 2021), risk reduction was a major topic in both posts and comments. Unverified information on alternative treatments and promotional content (33.4%) were also prevalent. Among all posts, 14.9% were specifically about heart health for women centering on local event promotion and distinctive symptoms of heart diseases for women.

CONCLUSIONS

Our results tracked the public's ongoing discussions about heart disease and heart health on one prominent social media platform, Facebook. The public's discussions and information sharing on heart health increased over time, especially since the start of the COVID-19 pandemic. Various levels of health organizations on Facebook actively promoted heart health information and engaged a large number of users. Facebook presents opportunities for more targeted heart health interventions that can reach and engage diverse populations.

CLINICALTRIAL
Роль обсягу резекції щодо хірургічного результату при низькодиференційованій олігоастроцитомі: клінічний випадок
Authors: Chaulagain Dipak , Smolanka V. , Smolanka A. , Havryliv T.
Published: July 2022

Олігоастроцитома (ОА) є частиною континууму гліальних клітин, що також включає астроцити та олігодендроцити. За визначенням Всесвітньої організації охорони здоров’я, цей тип пухлини вважається низькодиференційованим (II ступінь). Олігодендрогліома і олігоастроцитома є дифузно інфільтруючими, повільно зростаючими гліомами, що мають олігодендрогліальну або астроцитарну клітинну архітектуру. Фактично хірургічний результат при ОА залежить від обсягу пухлини, видаленого під час операції, її розташування, віку пацієнта і ступеня застосування післяопераційного опромінення та/або хіміотерапії. Розглянуте поняття обсягу висічення пухлини та його вплив на хірургічний результат у пацієнтів з ОА. Об’єктом дослідження є 30-річний чоловік, який мав судомні напади в анамнезі та в якого була діагностована ОА. Видалення ОА проведене в Обласному клінічному центрі нейрохірургії та неврології (м. Ужгород, Україна). Використовуючи інтраопераційний нейромоніторинг, хірурги змогли провести 63,5% видалення пухлини з подальшою хіміо-терапією. В результаті пацієнт у період спостереження не мав судом. Цей випадок висвітлює критичну природу хірургічної резекції і подальшої хіміотерапії при лікуванні низькодиференційованої олігоастроцитоми. У деяких осіб тотальний або субтотальний хірургічний підхід може значно зменшити об’єм пухлини, що сприятиме подальшому лікуванню. У результаті таке поєднання слід розглядати як засіб відстрочення радіотерапії та покращення якості життя. Необхідні додаткові дослідження для виявлення пацієнтів, які добре реагують на лікування.
"ГУДВИН": 25 ЛЕТ − ПОЛЕТ НОРМАЛЬНЫЙ
Authors: Корнев Н.
Published: July 2022

В нынешнем году исполняется 25 лет с момента основания компании "Концерн Гудвин" и пять лет со старта наиболее масштабной ее разработки − системы "Гудвин-Нева", объединившей функционал беспроводной связи и промышленного Интернета вещей. Компанию, являю­щуюся резидентом ОЭЗ "Технополис Москва", выделяет среди подобных предприятий, в частности, наличие не только разработчиков аппаратного и программного обеспечения, но и собственного серийного производства полного цикла, включающего изготовление абонентских терминалов. Сегодня специалисты компании "Гудвин" работают практически со всеми востребованными на телекоммуникационном рынке беспроводными технологиями. В течение 22 лет ООО "Концерн Гудвин (Гудвин Европа)" возглавляет кандидат технических наук Н.И.Корнев. Он рассказал корреспонденту журнала о пути компании, достижениях, проблемах и перспективах.
A Review on Deepfake Attack Detection of User
Authors: Chhajed Prachi
Published: July 2022

Abstract: The Deepfake attacks are common these days. It is hard to detect the faces of users are real or fake. Deepfake is mainly used in different fields as having positive points regarding virtual presence of any user but this also has drawback which leads to misuse of the replacing the user’s facial data with someone else facial data. These changing of user’s original identity to fake identity is done by the deepfake attackers who replace its own identity or human imposters to hide the originality of the user. These attacked images or videos need to be detected. There are various face detectors among which few detect the real or fake deepfake images or videos. There is procedure also which used for authentication purpose such as visual speaker authentication. Also, convolutional neural network is used for facial feature extraction purpose and recurrent neural network is used for detecting the video is manipulated or not
Designing and Fabrication Non-Conventional Energy: A Review on Literature
Authors: Sahu Usha S.
Published: July 2022

Abstract: Energy is important to the economic process and social development of any country. Indigenous energy resources important to be developed to the optimum level so attenuate dependence on foreign fuels, subject to partitioning economic, environmental and social constraints. This is important to a lift in analysis and development likewise as investment in renewable energy business in search of how to satisfy energy demand and to cut back dependency on fossil fuels. Wind and solar power are getting standard due to abundance, handiness and simple harnessing for electric power generation. Reaching the non electrified rural population is presently unfeasible through the extension of the grid, since the affiliation is neither economically possible. Further, there will be increase in oil costs, and also the intolerable impacts of this energy supply on the users and on the surroundings, square measure slowly removing standard energy solutions, like fuel agents based mostly systems, from the agricultural development agendas, “Hybrid Power Generation” i.e. Solar and wind based energy generation. This paper presents the design of hybrid electricity generation system by utilizing both solar and wind renewable energy to the domestic household in the remote area which is unable to connect to the grid. Hybrid systems have tested to be the most effective choice to deliver, “high quality” power.
Prediction of Fraudulent or Genuine Transactions on Credit Card Fraud Detection Dataset Using Machine Learning Techniques
Authors: Akinwamide Sunday Oluwafemi
Published: July 2022

Abstract: Credit card fraud is one of the important financial frauds that has caused a huge amount of financial losses more than the past. Several protection mechanisms such as Fraud Prevention Systems (FPSs) are used to combat the current credit card frauds, but these methods are not efficient enough to reduce the impact of these frauds. It is therefore important that credit card companies are able to recognize and prevent fraudulent credit card transactions so that customers are not charged for items that they did not purchase. In this research, we present our approach to predict legitimate or fraudulent transactions on Credit Card Fraud Detection Dataset from Kaggle. This work is based on analysis at two levels using performance evaluation metrics such as Precision, Recall, F1_Score and ROC_AUC. In the first stage of the research, the original imbalanced and skewed dataset was used to train, predict and evaluate the six supervised machine learning classifiers considered in this research including: Extreme Gradient Boosting (XGBoost), Random Forest (RF), K-Nearest Neighbour (KNN), Decision Tree (DT), Logistic Regression (LR), and Naïve Bayes (NB) while the same set of classifiers were also trained, predicted and evaluated with the same dataset but now resampled using SMOTETomek, i.e., a combination of both under-sampling and over-sampling technique to eliminate the imbalanced nature of the dataset during the second stage. The results of the two stages are compared to select the best overall performance. However, the result of the second stage of the experiment where models are trained, tested and evaluated with resampled dataset gave the overall best results where XGBoost, RF and DT have 100% in Precision, Recall, F1_Score and ROC_AUC respectively. While comparing the overall results of our research with all the papers reviewed in Section 2 of this work, it is worth noting that our research achieved the best performance so far where 100% were recorded from three different classifiers in all the four metrics used to evaluate our work.
Review of Research on Augmented Reality in Education: Advantages and Application
Authors: Kirte Tushar Shrinivas
Published: July 2022

Abstract: Innovation in training can impact understudies to advance effectively and can persuade them, prompting a successful cycle of learning. Past exploration has distinguished the issue that innovation will make an inactive learning process in the event that the innovation utilized doesn't advance decisive reasoning, importance making or meta-cognition. Since its presentation, expanded reality (AR) has been displayed to have great potential in making the educational experience more dynamic, viable and significant. This is on the grounds that its cutting edge innovation empowers clients to interface with virtual and continuous applications and carries the normal encounters to the client. What's more, the converging of AR with schooling has as of late drawn in research consideration as a result of its capacity to permit understudies to be submerged in sensible encounters. Accordingly, this idea paper surveys the exploration that has been directed on AR. The survey portrays the utilization of AR in various fields of getting the hang of including Medicine, Chemistry, Math, Physics, Geography, Biology, Astronomy and History. This paper additionally talks about the upsides of AR contrasted with conventional innovation, (for example, e-learning and courseware) and customary instructing techniques (chalk and talk and conventional books). The audit of the consequences of the examination shows that, generally speaking, AR innovations have a positive potential and benefits that can be adjusted in instruction. The audit additionally demonstrates the impediments of AR which could be tended to in future exploration
Emplacement Detection Using Ant Colony Optimization
Authors: Murty Sivala Vishnu
Published: July 2022

Abstract: The Ant Colony Optimization (ACO) is a algorithm with metaheuristic and versatile optimization approach based on the behaviour of ants. After a numerous analysis, ACO has been applied to solve different combinatorial problem statements. The ant colony metaheuristic proves itself to be efficient in solving hard problems, often generating the best solution in the shortest amount of time. However, not enough attention has been paid to ACO as a means of solving problems that have optimal solutions which can be found using other methods. The shortest path problem is undoubtedly one of the aspects of great significance to navigation and telecommunications. It is used, amongst others, for determining the shortest route between two geographical locations, for routing in packet networks, and to balance and optimize network utilization. Thus, this article introduces Shortest Path ACO, an Ant Colony Optimization based algorithm designed to find the shortest path in a graph. The algorithm consists of several sub problems that are presented successively. Each subproblem is discussed from many points of view to enable researchers to find the most suitable solutions to the problems they investigate.
Associated Sensors, Innovative Sensor Deployment furthermore, Intelligent Data Analysis for Online Water Quality Monitoring
Authors: S J Aishwarya
Published: July 2022

Abstract: The sensor innovation for water quality checking (WQM) has improved during late years. The financially savvy sensorised instruments that can independently gauge the fundamental physical - substance and organic (PCB) factors are presently promptly accessible and are being sent on floats, boats and ships. However, there is a distinction between the information quality, information gathering and information examination because of the absence of normalized approaches for information assortment and handling, spatio-fleeting variety of key boundaries in water bodies and new pollutants. Such holes can be spanned with an organization of multiparametric sensor frameworks sent in water bodies utilizing independent vehicles, for example, marine robots and flying vehicles to widen the information inclusion in existence. Further, smart calculations could be utilized for normalized information examination what's more, determining. This paper presents an exhaustive survey of the sensors, sending and examination advancements for WQM. An organization of arranged water bodies could improve the worldwide information interoperability and empower WQM at worldwide scale to address worldwide difficulties connected with food, drinking water, and wellbeing.
Advanced Vehicular Ad-Hoc Network (VANET) technology using Blockchain
Authors: KR Dr. Usha Rani
Published: July 2022

Abstract: With rapid expansion in wireless technology, telecommunication is most explored fields of research and Vehicular Adhoc networks in particular. In this review, a VANET design is presented which focuses on high quality video streaming using data dissemination between high speed vehicles. It is achieved using best forwarder in every ring centered on the aggregate of all vehicles available in the network to reduce multi-hop routing. The emergency messages are authenticated using blockchain to have improved security of sensitive information. A comparison of routing protocols namely AODV, OLSR and DSDV is also presented in this review
Secure Data Sharing Using 3DES Algorithm
Authors: M Pranjali Prajwal
Published: July 2022

Abstract: The Triple Data Encryption Algorithm, also known as Triple DES (Data Encryption Standard), 3DES, TDES, Triple DEA, or TDEA, is a symmetric key-block cypher that uses the DES cypher in triplicate by encrypting with key 1 (k1), decrypting with key 2, and encrypting with key 3 (k3) (k3). There is a two-key variation as well, where k1 and k3 are identical. The Data Encryption Standard, created by IBM in the early 1970s and adopted by NIST with minor adjustments in 1977, is the foundation of the 3DES cypher suite. The system consists of a Data Owner, Network Storage, Aggregate Key and User. The data owner uploads the file which is encrypted by making use of 3DES algorithm, once the data has been encrypted blowfish is applied to convert the whole data into data blocks which is stored in network storage or the drop box. When the authorized user provides the secret key that is the aggregate key the data is decrypted and original data is available for the user. Admin will be a superuser who will manage different things like uploaded files and registered users. Admin will be having permissions to remove users if found invalid. The secure data sharing system using 3DES algorithm is developed with the Java technologies. Encryption is done using triple standard encryption standard. Agile methodology is used to develop the system and MySQL Database is used to store the data. The system is able to efficiently store the data uploaded by the data owner after encrypting it using blowfish algorithm and 3DES technology. After the storage of the data the system will also be able to securely transfer the saved data within the trusted set of people without any other person able to access the file.
Facial Expression Recognition System Using Haar Cascades Classifier
Authors: Usem Varshita
Published: July 2022

Abstract: Facial expression conveys non-verbal cues, which play a crucial role in social relations. Facial Expression Recognition is a significant yet challenging task, as we can use it to identify the emotions and the mental state of an individual. In this system, using image processing and machine learning, we compare the captured image with the trained dataset and then display the emotional state of the image. To design a robust facial feature recognition system, Local Binary Pattern(LBP) is used. We then assess the performance of the suggested system by using a database that is trained, with the help of Neural Networks. The results show the competitive classification accuracy of various emotions.
Automated Parking System Using Number Plate Recognition
Authors: S Anirudh
Published: July 2022

Abstract: Finding a suitable parking spaceas been a significant concern for people, The difficulty roots from not knowing where the parking spaces are available at the given time. The traditional parking methods cannot be used today as they are ineffective at utilizing space and are time consuming. As a result, the purpose of this research is to Automate the parking system using number plate recognition. Thesystem uses image processing of recognizing registration plates of the vehicles for operation of parking system. Overall, the systems run with pre- programmed controller to make minimize the human interaction in parking system
Terapi kognitif perilaku untuk mengurangi gejala kecemasan
Authors: Haikal Muhammad
Published: July 2022

Anxiety is a psychological disorder that can interfere with daily activities. Individuals who experience anxiety will develop cognitive distortions and maladaptive behavior. In general, anxiety is characterized by feelings of irritability, restlessness, difficulty sleeping, difficulty concentrating, and heart palpitations. The purpose of this study was to see whether Cognitive Behavioral Therapy could reduce anxiety symptoms. The subject is one person, female and 26 years old. The assessment methods used are clinical interviews, observation, graphic tests, thematic perception tests, Beck Anxiety Inventory, self-report, WHODAS 2.0, and Mental Status Exam. The therapy used to overcome social anxiety is Cognitive Behavioral Therapy with cognitive restructuring techniques and deep breathing relaxation techniques. Cognitive restructuring aims to replace negative thoughts with positive ones; while the relaxation technique aims to make the subject have the skills to control anxiety. The results of the therapy show that cognitive behavioral therapy can reduce anxiety symptoms.
Cognitive Behavior Therapy untuk mengurangi perilaku melukai diri pada kasus depresi
Authors: Esti Paramitayani
Published: July 2022

Depression is a mood disorder characterized by the absence of hope, prolonged sadness, excessive feelings of helplessness, inability to make decisions, inability to concentrate, loss of enthusiasm for life, feelings of tension and a desire to end life or hurt oneself. The purpose of this study was to see whether self-injury behavior in depression could be reduced after giving Cognitive Behavioral Therapy. The subject is twenty-three years old woman; suffer from depression and often self-harm. The assessments used were clinical interviews, observation, Beck Depression Inventory, graphic tests, Wechsler Adult Intelligence Scale, Thematic Apperception Test, and WHODAS. Frequency self -injury behavior subject was  three times a week average. The intervention given is Cognitive Behavioral Therapy to reduce the frequency of self-injury by 10 sessions. The result shows that Cognitive Behavioral Therapy is effective in reducing self-injury behavior and can reduce negative thinking in people with depression.
E-Governance in Nigeria: Challenges and Prospects
Authors: Oghuvbu Ejiroghene A. , Gberevbie Daniel E. , Oni Samuel O.
Published: July 2022

The basic duty or function of government all over the globe is to akin to the yearnings, aspirations and needs of its citizens. Bureaucratic institutions are used as veritable tools in the administration to establish and implement public policies and programs aimed at serving the demands of the people. It’s on this note the study examines the challenges of e-governance in Nigeria. Due to large dependence on secondary sources of data acquired from papers published in respected academic journals, official publications, Conference papers, internet sources and relevant books, the study adopted the use of content analysis techniques. The study discovered, among other issues, that low knowledge of ICT, insufficient legal framework, and inadequate infrastructure are among the challenges that obstruct the efficient adoption of e-governance in Nigeria. The research, on the other hand, the study found out that e-governance has a lot of potential for the country, including giving information on job openings, e-police system, a medium for information transmission, and economic development, among other features. From the issues discovered the study recommended that government should provide ICT infrastructure, ICT legislation should be enacted in the nation, and the government should demonstrate commitment to making e-governance a success in the country, among other issues. The study concluded by noting that e-governance is critical to the country’s realization of accountable, responsive, and transparent government in Nigeria.
Development of Innovation Activities in Bulgaria: Current Challenges
Authors: Bistrina Maria G.
Published: July 2022

The article is devoted to the development of innovation activity in the Republic of Bulgaria and the modern challenges that the country faces when introducing innovations in small and medium-sized enterprises, education and science. In modern conditions, stable economic development cannot be achieved without an efficiently functioning innovation system. Innovation is at the heart of the knowledge economy, and management in the 21st century can be characterized as an innovative type of management. Globally, the transition from investment-driven growth to innovation-driven growth is beginning. The latter, which is typical for moderately developed countries, to which the Republic of Bulgaria belongs, is achieved through the adaptation of global technologies to local production. The focus is on the development trend of innovation activities in Bulgaria, so that by 2027 the country will receive the status of “moderate innovator” in the European Innovation Ranking.
“After All, They Don’t Know Anything About Us...”: Russian Literature in French Periodicals of the Early 20th Century. Reviews by Valery Bryusov, Zinaida Gippius, Yakov Povolotsky
Authors: Savina Anfisa D.
Published: July 2022

With the considerable attention paid to Russian-French cultural ties, the topic of the French reception of the Silver Age literature still remains poorly studied. In this paper, we consider three review articles that rarely come to researchers’ attention. These are texts written by Russian authors in French for French magazines: “Letter on Russian Literature” by V.Ya. Bryusov (“Le Beffroi”, 1905), “Notes on Russian Literature of Our Time” by Z.N. Gippius (“Mercure de France”, 1908), and “Russian poets” Ya.M. Povolotsky (“La Grande Revue”, 1911). All the cases are not a part of regular cooperation with the French press, but individual performances aspiring to convey the authors’ vision of the modern literary process in Russia to a foreign audience. All the authors, under the guise of objective reviews, seek to acquaint readers with the literature of symbolism. The ideas presented in Bryusov’s and Gippius’s texts are very similar to those found in their numerous Russian articles and notes, but their assessments of “realist” writers turn out to be less harsh than on the pages of Russian magazines. Nevertheless, for both critics, the appeal to M. Gorky and L. Andreev is only a pretext for introducing symbolist writers. Unlike Bryusov and Gippius, Yakov Povolotsky in his article on Russian poets turns out to be not so much the creator of a concept of his own, but a systematizer. His system is based on already existing views. He identifies three groups of poets and describes the “masters” in meticulous detail. Some assessments made in the given articles seem obvious today, but it should be noted that all the authors assume that the French public knows nothing about Russian non-realistic literature.
Basic Approaches to the Typology of Digital Media Platforms
Authors: Polyakov Maksim L.
Published: July 2022

Digital platforms are in a spotlight for researchers all around the world. These studies are done in areas of communications, sociology, economics, information technologies, management. Scholars use a lot of approaches to define platforms, make their typology and systematization. The article describes and analyzes theoretical approaches, definitions, conceptualization, and typologies of digital platforms of ten recent years from 2010 till 2021. As a result, I conclude some common definition. Part of this typology and platform segment are platforms based on advertising business model. That type of digital platforms have generated new media industry segment - context and target advertising - and some of these platforms concentrated a significant part of global adverting market. They may be defined as digital media platforms . Typology and definitions of platforms could be used in universities with such studies like “Communications”, “Journalism”, “Advertising and public relations”, “Economics”.
Finanzas corporativas y sostenibilidad: un análisis bibliométrico e identificación de tendencias
Authors: Duque Pedro , Trejos Damiand , Hoyos Oscar , Chica Mesa Juan Carlos
Published: July 2022

El rápido deterioro ambiental, la creciente desigualdad social y las frecuentes crisis económicas, han hecho que la sociedad y en especial las empresas, cambien sus comportamientos y se vuelvan cada vez más conscientes de su papel en la temática de sostenibilidad, todo esto, sin dejar de lado sus intereses económicos. Debido al mcreciente interés académico y profesional sobre estos temas, esta investigación pretende realizar una revisión de literatura basada en mapeo científico, sobre el vínculo entre finanzas corporativas y sostenibilidad. Para ello, se realizó una búsqueda de la producción científica registrada en WoS y Scopus en las dos últimas décadas, posteriormente, con herramientas bibliométricas y análisis de red, se expone la estructura actual de conocimiento del tema y se identifican tres corrientes emergentes de investigación: sostenibilidad y rendimiento financiero, resultados financieros de la responsabilidad social corporativa, informes y reportes de sostenibilidad. Finalmente, se presenta una agenda para futuras investigaciones.
Revisión bibliométrica del consumo sostenible: una mirada histórica de la producción científica global
Authors: Alzate Buitrago Alejandro
Published: July 2022

Como bien lo definen los ODS, el consumo y producción sostenibles consisten en hacer más y mejor con menos, en procura de minimizar la degradación ambiental, sin que ello implique detrimento de la calidad de vida de las personas. El propósito de este artículo es adelantar el mapeo de la producción científica global en torno al consumo sostenible, y de esta manera identificar avances teórico-conceptuales, tendencias investigativas, logros, propuestas y dinámica de la producción científica en el tiempo. Para ello se acudió a la consulta de información temática publicada en la base de datos Web of Science, mediante la ecuación de búsqueda Sustainable Consumption, por título y durante el período 1997-2020. El análisis bibliométrico se realizó haciendo uso de herramientas de código abierto como R-Studio y Bibliometrix, que permitieron identificar producción científica anual, autores y fuentes de mayor reconocimiento y artículos más citados. Para la visualización de datos en red se utilizó el software VOSviewer. Los aspectos teóricos de mayor valor dan cuenta del tránsito y retos en los que están las sociedades modernas, en todo su conjunto, en procura de hacer del consumo sostenible una práctica cotidiana. En este sentido, se destacan las tendencias modernas de adopción de comportamientos y hábitos de consumo auto-restrictivos, la segunda vida de los productos, los simplificadores voluntarios, los cambios de modos de producción,la eficiencia energética y el consumo de alimentos sostenibles. El paradigma emergente del consumo sostenible, privilegia el papel de la ecología industrial, la economía circular y las economías colaborativas, como agentes mediadores de las relaciones productores-consumidores-medio ambiente y como última alternativa sugiere el decrecimiento económico como única fórmula hacia el consumo y desarrollo sostenibles.
Knowledge Transmission and Kyai-Santri Network in Pesantren in Java Island During the 20th Century: A Study on Popongan Manuscript
Authors: Gusmian Islah , Abdullah Mustaffa
Published: July 2022

The article examined the knowledge transmission and the network of kyai-santri in pesantren in Java in the 20th century. Both of these aspects were studied through Popongan manuscripts kept at Popongan Pesantren, Klaten, Central Java. The Popongan manuscript was derived from the study notes and a copy of the text referenced in the study at the pesantren. A large number of manuscripts were written and copied by Kyai Muhammad Muqri, one of the kyai at Popongan Pesantren. Through this study, Popongan manuscripts were positioned as social and cultural products, so that interactions, social relationships, and interests in them can be properly expressed. The research showed that the fields of knowledge studied in pesantren were diverse, including fiqh, grammar, theology, Sufism, and history. This diverse field of knowledge was well transmitted through kyai-santri networks. In addition, the kyai also criticized religious views that were inconsistent with Islamic principles. For example, the rejection of Wahhabi’s teachings by Muḥammad Dimyaṭī in the book Lawāmi‘ al-Burhān. In terms of socio-culture, this study also revealed that through knowledge, the relationship between kyai-santri as well as between kyai-rulers in Surakarta was interconnected from time to time. Through this kind of education, pesantren played an important role in building a comprehensive religious tradition.
Religious Coping for Covid-19 Patients: Islamic Approaches
Authors: Murtadho Ali , Hidayanti Ema , Fakhri Mohammad , Masri Subekti , Purwanti Kristi Liani , Algifahmy Ayu Faiza , Hakim Lukmanul
Published: July 2022

This qualitative study aims to explore the religious coping of Covid-19 patients during the home care and self-isolation process. A correlative narrative strategy with a sample of 7 Covid-19 patients are used to determining the religious coping of Muslims during the pandemic in the form of praying, reading the Qur’an, dhikr, charity, and having thoughts of Allah. The the result showed that patients need the help of close relatives to develop religious coping and it is essential to provide spiritual healing services in addition to pharmaceutical therapy to Covid-19 patients. Furthermore, Islamic counseling can be used as an alternative to spiritual therapy, while religious coping creates positive psychological conditions, supporting healing and increasing immunity. Further study needs to be carried out to determine the importance of implementing a holistic care model in health services Covid-19.
Duplos espelhos: imagem e representatividade de mulheres negras no Brasil e em Moçambique
Authors: Da Costa Cruz Denise Ferreira
Published: July 2022

O presente artigo é uma reflexão sobre representatividade de mulheres negras moçambicanas e brasileiras nos espaços da internet contemporânea. Realizada a partir de pesquisa de campo compreendidas nos anos de 2011, 2015 e 2017 na capital de Moçambique, Maputo e na capital do Brasil, Brasília. Realizou-se entrevistas e observação participante. Trazemos a ideia de que esses se configuram como lugares de construção de narrativas outras em que a beleza assume papel central como linguagem de construção da representatividade.
Somos um milhão de mulheres
Authors: Lopes Natânia , Lopes Giovana
Published: July 2022

O ensaio Somos Um Milhão de Mulheres é um fragmento de um projeto fotográfico maior, intitulado O Que Você Não Vê,a prostituição vista por nós mesmas, que contou com 16 fotógrafas, trabalhadoras sexuais de vários locais e nichos do mercado da prostituição na cidade do Rio de Janeiro. Foi um projeto artístico e documental desenvolvido no âmbito da pesquisa "Os Impactos dos Mega Eventos Esportivos nos Mercados do Sexo no Rio de Janeiro", que contou com financiamento da FAPERJ durante os anos das Olímpiadas e Para-Olimpíadas na cidade. Através das narrativas das trabalhadoras sexuais e em diálogo e colaboração do movimento brasileiro de prostitutas, procurou-se documentar a relação entre o Estado e seus projetos higienistas orientados por pânicos morais ligados à atividade prostitucional e as formas criativas pelas quais os atores ocupam a cidade, reiventam os espaços, se deslocam e criam, efetivamente, lugar. O ensaio ora apresentado investe numa das possibilidades abertas pelo projeto fotográfico maior do qual faz parte e em diálogo com a pesquisa da qual ele é fruto, oculta as identidades individuais das fotógrafas, indexadas a cada uma das imagens, para fazer emergir uma autoria coletiva de um conjunto de fotografias que é, ele mesmo e em conjunto, um acontecimento.