bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Health Literacy During the COVID-19 Pandemic Among Health Care Providers in Resource-Limited Settings: Cross-sectional Study
Authors: Ahmed Mohammedjud Hassen , Guadie Habtamu Alganeh , Ngusie Habtamu Setegn , Teferi Gizaw Hailiye , Gullslett Monika Knudsen , Hailegebreal Samuel , Hunde Mekonnen Kenate , Donacho Dereje Oljira , Tilahun Binyam , Siraj Shuayib Shemsu , Debele Gebiso Roba , Hajure Mohammedamin , Mengiste Shegaw Anagaw
Published: June 2022

Background

Digital health literacy is the use of information and communication technology to support health and health care. Digital health literacy is becoming increasingly important as individuals continue to seek medical advice from various web-based sources, especially social media, during the pandemics such as COVID-19.

Objective

The study aimed to assess health professionals’ digital health literacy level and associated factors in Southwest Ethiopia in 2021.

Methods

An institution-based cross-sectional study was conducted from January to April 2021 in Ethiopia. Simple random sampling technique was used to select 423 study participants among health professionals. SPSS (version 20) software was used for data entry and analysis. A pretested self-administered questionnaire was used to collect the required data. Multivariable logistic regression was used to examine the association between the digital health literacy skill and associated factors. Significance value was obtained at 95% CI and P<.05.

Results

In total, 401 study subjects participated in the study. Overall, 43.6% (n=176) of respondents had high digital health literacy skills. High computer literacy (adjusted odds ratio [AOR] 4.43, 95% CI 2.34-5.67; P=.01); master’s degree and above (AOR 3.42, 95% CI 2.31-4.90; P=.02); internet use (AOR 4.00, 95% CI 1.78-4.02; P=.03); perceived ease of use (AOR 2.65, 95% CI 1.35-4.65; P=.04); monthly income of >15,000 Ethiopian birr (>US $283.68; AOR 7.55, 95% CI 6.43-9.44; P<.001); good knowledge of eHealth (AOR 2.22, 95% CI 1.32-4.03; P=.04); favorable attitudes (AOR 3.11, 95% CI 2.11-4.32; P=.04); and perceived usefulness (AOR 3.43, 95% CI 2.43-5.44; P=.02) were variables associated with eHealth literacy level.

Conclusions

In general, less than half of the study participants had a high digital health literacy level. High computer literacy, master’s degree and above, frequent internet use, perceived ease to use, income of >15,000 Ethiopian birr (>US $283.68), good knowledge of digital health literacy, favorable attitude, and perceived usefulness were the most determinant factors in the study. Having high computer literacy, frequent use of internet, perceived ease of use, perceived usefulness, favorable attitude, and a high level of education will help to promote a high level of digital health literacy.
Communication Determinants of Behavioral Intentions on Food Product Recalls: Evidence from HINTS-FDA Data (Preprint)
Authors: Han Gang(Kevin) , Zhang Di
Published: June 2022

BACKGROUND

When concerns on product quality and safety in global marketplace have dramatically increased in recent years, recalls on food or drugs have drawn growing public and regulatory attention.

OBJECTIVE

Proposing and discussing “information-confirmation-action,” a two-stage decision-making mechanism concerning American people’s behavioral intentions on food product recalls, this study aims to better understand how the proximate predictors of health information have influenced consumers’ compliance behavior related to public health nutrition.

METHODS

A structural equation model is tested with data from Health Information National Trends Survey (HINTS) collaborated with Food and Drugs Administration, a nationally representative mail survey administered by National Cancer Institute from May through September, 2015. Complete data were collected from 3,738 respondents of persons 18 years or older with an overall response rate 33.04%.

RESULTS

Findings suggest that attention, institutional trust, information gathering capacity, information seeking and sharing significantly influence respondents’ intentions on food product recalls. Consulting doctors is twice as much as likely than checking the recalled product to lead to a complete avoidance of food products related to the recall.

CONCLUSIONS

Proximate predictors of health information influenced American consumers’ decision-making process that embraces two stages regarding food product recalls— “confirmation” on the recall information, as well as “action” through their subsequent behavioral intentions dealing with the recalled food items. The confirmation part as a mediator follows up with the health information antecedents to relay their influence toward possible actions. Meanwhile, the direct effects of predictors also work on behavioral intentions when consumers respond to food recall. Practical implications are also discussed.
Comparative Effects of Blood Flow Restriction (BFR) Training and Close Chain Exercises for Quadriceps Stren (Preprint)
Authors: Shahbal Sayed
Published: June 2022

BACKGROUND

The Patellofemoral Pain Syndrome (PFPS) is a potential reason for pain in the anterior aspect of the knee. The incidence of "anterior knee pain" is high and is reported at 22/1,000 people each year. Women are impacted with regards to over two times as regularly as men.

OBJECTIVE

To determine the Comparative Effects of Blood Flow Restriction (BFR) Training and Close Chain Exercises for Quadriceps Strengthening in patients with PFPS.

METHODS

A sample of 30 patients was calculated through an online randomized computer-generated system. This sample was divided into two groups both are treatment groups (Group A and B). Group A received Close Chain exercises and BFR training including moist hot packs. Group B received Close Chain exercises alone. Special tests were performed to diagnose the problem including an Apprehension test, patellar tilt test, and compression test was also included.

RESULTS

Data analysis was done by using SPSS V.20. A paired T-test was conducted for between-group analysis. Close Chain Exercises and BFR training were significantly improved in group A at follow-up sessions with a P value less than 0.05. An independent T-test was conducted for within-group analysis. Significant improvement was observed for all outcome measures in both groups with less than 0.05.

CONCLUSIONS

Both groups are found effective in Close Chain Exercises and BFR training and Close Chain Exercises alone. But significant improvement was observed in Close Chain Exercises and BFR training group.
Pembatasan Hak Masyarakat Tionghoa di Daerah Istimewa Yogyakarta: Bias Kelas Demokrasi Agraria?
Authors: Benedict Josef Christofer
Published: June 2022

Konsep demokrasi tidak pernah terbatas pada pemilihan elektoral belaka. Diskursusnya juga mencakup penerapan akan keadilan dan kesetaraan. Dalam pemahaman menyeluruh tersebut, Surat Instruksi Kepala Daerah DIY Nomor K.898/I/A/1975 yang membatasi hak kepemilikan tanah dan bangunan bagi masyarakat Tionghoa di Daerah Istimewa Yogyakarta (DIY) menjadi wujud negasi atas konsep demokrasi agraria sendiri. Kehadirannya yang telah berlangsung selama 46 tahun dan tetap eksis membatasi hak milik Tionghoa di DIY secara de jure, memunculkan pertanyaan sendiri mengenai ketimpangan pelaksanaannya. Pada kenyataanya, tidak semua masyarakat Tionghoa di DIY mengalami diskriminasi tersebut. Banyak dari mereka yang kemudian mengakali kebijakan tersebut. Penelitian yang membahas aspek historis kemunculan kebijakan ini pun semakin banyak, dengan titik penemuan bahwa kehadirannya tidak lagi relevan karena merupakan warisan devide et impera masa kolonial. Dengan situasi demikian, mempertanyakan kehadirannya dalam konteks masa kini menjadi penting – terutama mengenai atas dasar apa keberlakuannya saat ini di tengah-tengah masyarakat Tionghoa. Teknik pengumpulan data dilakukan dengan pendekatan kualitatif dengan teknik studi literatur dan wawancara. Hasil penelitian menunjukkan bahwa pada akhirnya, tampak bahwa hegemoni ekonomi menjadi determinan atas keberlakuannya, terutama di kalangan masyarakat Tionghoa sendiri. Kehadiran penulisan ini diharapkan dapat memberikan perspektif baru terhadap pelaksanaan demokrasi agraria di DIY, tidak hanya secara historis dan hukum, tetapi juga sosiologis.
Android Operated Mobile Robot for Agriculture Purpose
Authors: A P Kavya
Published: June 2022

Abstract: The paper aims on the design and development of robot that is used in the field of agriculture. The robot helps the farmer to perform agriculture activities the robot will perform ploughing, seed sowing, mud levelling, water spraying and cutting the crop. It is mainly designed to minimize the labor of farmers in addition to increasing the speed and accuracy of the work. In this project android application is used to provide the input to the robot. By using Bluetooth, connection establish between the robot and the application. According to the instructions given the robot will perform the operations. In the field of agricultural autonomous vehicle, a concept is been developed to investigate if multiple small autonomous machines could be more efficient than traditional large tractors and human forces.
Identification and Classification of Skin Cancer Using a GUI and a Deep Neural Network
Authors: Altaf Mohammad , Sodhi Dr. Gurinder Kaur
Published: June 2022

Abstract: Skin cancer, the most prevalent human malignancy1–3, is mainly detected directly, with initial surveillance, sonographic investigation, dissection, and pathological testing following. Due to the perfectly alright heterogeneity in their form, automated classification or skin conditions using imagery is tricky. Convolutional networks (CNNs) have shown promise in a variety of tasks with a large number of variables, such as item classification. 6–11. Using one CNN which was built side to side from photographs, we demonstrate how to identify lesion just by using pixels and illness labels as outputs. Early identification of skin cancers like melanoma and focal malignant tumors is critical for preventing disease development. Notwithstanding, there are a factors that affect detection capability. The use of medical image analysis in especially in the medical sectors has developed rapidly in recent years. . In this study, we used Convolutional Neural Networks (CNN) to diagnose and characterize cancer types given past clinical mri data. Some of our purpose of the study is developing CNN model to identify tumors by an efficacy of greater than 80%, limiting the untrue alarm rate in the predicted to less than 10%, attaining resolution of greater than 80%, and displaying raw details. As per computer findings, the proposed approach exceeds the additional choices undergoing investigation.
Brain Disease Detection Using Machine Learning
Authors: Bashir Mir Kaisar
Published: June 2022

Abstract: In healthy persons, machine learning analysis of neuroimaging data can reliably predict chronological size/age, and departures from healthy brain ageing are linked to cognitive impairment and illness. Most brain illnesses, such as epilepsy or a brain tumor, are difficult to diagnose and need several visits to doctors and electroencephalogram technicians. Using Artificial Intelligence and deep learning, this research attempts to automate brain disease detection based on brain size. Many brain diseases can be identified by measuring the size of the brain. Using a noninvasive method to collect data directly from the brain provides substantial information about its health and illness. When examining an Electroencephalography, clinicians presently classify and discover abnormalities on the brain. It may be feasible to learn and categories brain activity with the proper quantity of data and machine learning algorithms (i.e.: anxiety, epilepsy spikes, abnormal tumor activity, disease etc.). Following that, hybrid approach would analyses the brain datasets and look for signs of a condition in order to automate the identification and categorization of the disorders/diseases discovered
Image Transmission through Water Medium
Authors: S Devatha
Published: June 2022

Abstract: Water data communication is a potential technology to realize underwater communication. The experiment of underwater data communication in the laboratory is different with that in the real water environment because the physical scale is limited. Although since recent several decades, artificial scattering agents are used to recreate underwater data communication through water channels under different communication medium conditions, but the similarity between experimental water and natural water is not reliable, such as the similarity in frequency domain characteristics. The underwater transmitter directs a signal to the water's surface, causing tiny vibrations that correspond to the transmission. Above the surface, a highly sensitive receiver reads these minute disturbances and decodes the signal.
Amazon E-Commerce Website
Authors: Saurabh Sachin
Published: June 2022

Abstract: Electronic Commerce is that the process of conducting business on internet. The person sitting in his house ahead of the personal computer can pierce all websites to shop or vend these products. As compared traditional trade requires one to perform task similar as carrying the products etc., ecommerce experience has made the client to do no such task therefore saving precious time. E-Commerce launched in the early 1990s has taken an enormous shift within the computer world, but the reality has hindered the expansion of e-commerce security. Security is an e-commerce challenge now and important progress has been made in the security sector. The great betterment of ecommerce over conventional trading is that the user can browse online stores, analogize costs, and order home- grounded deals on his personal computer. Accelerating e-commerce use in developing nations B2Be-commerce is employed to ameliorate access to global enterprises of enterprises in developing nations. For a developing nations advancement in the e-commerce sector is pivotal. The exploration strategy demonstrates the significance of ecommerce in developing nations with business operations. Electronic Commerce covers a broad range of distinct kinds of companies, from consumer- grounded marketing traffic, through sales or music websites, to the commercialization of merchandise and services between companies. It's presently one of the most significant internet features to arise.
The Future of Robotics Technology
Authors: Kothali Swapnil
Published: June 2022

Abstract: In the last decade the robotics industry has created millions of additional jobs led by consumer electronics and the electric vehicle industry, and by 2020, robotics will be a $100 billion worth industry, as big as the tourism industry.. For example, the rehabilitation robot market has grown 10 times between 2010 and 2016, thanks to advancements in rehab/therapy robots, active prostheses, exoskeletons, and wearable robotics. In short, the very next decade robotics will become vital components in a number of applications and robots paired with AI will be able to perform complex actions that are capable of learning from humans, driving the intelligent automation phenomenon. Therefore, in this paper we try to depict the direction and the fields of application of such important sector of future markets, and scientific research.
The Benefits of Blogging for Mental Health
Authors: Sairam Jakkula
Published: June 2022

Abstract: Consumers are increasingly turning to the Internet for medical information, notably through blogs and social media platforms, according to studies. Blogs have grown in popularity as a means of displaying internet content for the general public. It's important to consider why individuals establish and maintain blogs. The desire for affection, as well as the expressing of one's ideas, the drive to profit, the want to share knowledge and information, and the desire to communicate are which lead to writing blogs blogging
Ground Water Level Prediction using Adaptive Neuro-Fuzzy Inference Systems and Simulated Annealing
Authors: Mishra Ashrut
Published: June 2022

Abstract: In Indian subcontinent the source of ground water is mainly from rainfall and partially due to the river flow, lakes, and reservoirs, which is highly nonlinear and dynamic. In this paper, the seasonal ground water levels will be predicted using the simulated Annealing (SA) based on previous seasonal rainfall and ground water levels. The study will be carried out in Lucknow district, India. The main objective of this paper is to develop a reliable groundwater level fluctuation forecasting system to generate trend forecasts. The forecasts, based on SA techniques, are then compared to actual measurements recorded during a subsequent monitoring period, for this MATLAB platform will be used for generating the SA codes.
Predict the Face-Mask-and-Social-Distance Identification by Using Yolo and CNN
Authors: Ramakrishnareddy Savanam
Published: June 2022

Abstract: COVID-19 virus is still a source of concern and hazard in today's world. With such a huge population traveling, manual monitoring of social distance standards is impracticable. Regarding and with a task force and resources that are insufficient to they should be administered There is a requirement for a lightweight, durable, and reliable device. This procedure is automated by a video observation device that operates 24 hours a day, seven days a week. This study offers a detailed and practical solution to the problem. Perform person detection, social distance violation detection, and social distancing violation detection. Using an item, detect faces and classify face masks. Convolution Neural Networks, detection, and grouping (CNN)is a binary classifier that is based on. YOLOv3, Density-fundamentally based spatial bunching of bundles with commotion (DBSCAN), and double are a portion of the instruments that can assist with this. Shot Face Detector (DSFD) and Binary MobileNetV2 Surveillance video assortments were utilized to prepare a classifier. This publication also includes a comparison of various facial types. Face mask detection and classification models. Finally, to make amends for the absence of a dataset within the network, a video dataset labeling technique is presented, couple with a labeled video dataset, which is utilized to evaluate the system. The framework's presentation is estimated as far as precision, F1 score, and gauge time, which should be least for practical use. On the labeled video data set, the device has an accuracy of 91.2 percent and an F1 rating of 90. Seventy-nine percent, with an average forecast time of seven.12 seconds for seventy eight frames of video
Internet of Things (IOT): Research Challenges and Future Applications
Authors: Suryawanshi Ashwini
Published: June 2022

Abstract: With the Internet of Things (IoT) gradually evolving as the subsequent phase of the evolution of the Internet, it becomes crucial to recognize the various potential domains for application of IoT, and the research challenges that are associated with these applications. Ranging from smart cities, to health care, smart agriculture, logistics and retail, to even smart living and smart environments IoT is expected to infiltrate into virtually all aspects of daily life. Even though the current IoT enabling technologies have greatly improved in the recent years, there are still numerous problems that require attention. Since the IoT concept ensues from heterogeneous technologies, many research challenges are bound to arise. The fact that IoT is so expansive and affects practically all areas of our lives, makes it a significant research topic for studies in various related fields such as information technology and computer science. Thus, IoT is paving the way for new dimensions of research to be carried out. This paper presents the recent development of IoT technologies and discusses future applications and research challenges.
IoT Based Elderly Healthcare Monitoring System
Authors: Kumar Amrit
Published: June 2022

Abstract: Now a days continuous patient health monitoring is becoming a key concern for the doctors since it can help them save patient’s life. So, the main objective is to design a patient monitoring system which can monitor various physiological data of patient who is remotely placed and make available this real time data to the doctor. The data is made available over the internet so that doctor can access this data from anywhere in the world. Remote patient monitoring reduces the need of doctor`s visit to the patient. In this entire system IOT plays a major role in providing many applications and services and Raspberry Pi used here is not just a sensor node but also a processor. It is a smart device which can sense, gather and publish this data over the internet. Paper proposes a generic health monitoring system with Heart Disease Prediction system (HDPS) using Neural network. The HDPS system predicts the likelihood of patient getting a heart disease. For prediction, the system uses sex, blood pressure, age, height, weight like medical parameters. as a step forward to the progress made in this department till now.
Pengembangan Sistem Pengelompokan Sekolah Menggunakan Metode Algoritma K-Means (Studi Kasus Dinas Pendidikan Kabupaten Malang)
Authors: Noviansyah Moch. Rosid , Nuryasin Ilyas , Chandranegara Didih Rizki
Published: June 2022

Sebuah instansi pemerintah yang bergerak di bidang pendidikan khususnya pendidikan smp tentunya Dinas Pendidikan Kabupaten Malang yang merupakan instansi penting sebagai penggerak pendidikan di wilayah kabupaten malang untuk mengukur suatu mutu dan kualitas - kualitas sekolah yang ada di Dinas Kabupaten Malang yaitu berdasarkan standart penilaian pendidikan dan Standart pengelolaan yang berupa Nilai Ujian Nasional, Nilai Ujian Sekolah, dan Nilai Akreditasi Sekolah, namun demikian mengingat banyaknya jumlah Sekolah Menengah Pertama atau dalam kasus ini adalah SMP yang ada di Kabupaten Malang, nilai Ujian Nasional, Ujian Sekolah, serta Nilai Akreditasi Sekolah dari tiap tiap sekolah tidak seragam tentu pihak Dinas Kabupaten Malang akan kesulitan dalam mencari dan memilah tiap tiap sekolah berdasarkan karakteristik tersebut. Maka penelitian ini membahas tentang penerapan data mining menggunakan metode Algoritma K-Means untuk menghasilkan tampilan profil yang memiliki atribut sama , atribut atau parameter nilai yang digunakan adalah rata rata nilai dari setiap sekolah dari nilai Ujian Nasional, nilai Ujian Sekolah, serta nilai Akreditasi Sekolah, dengan menghasilkan cluster sejumlah 3 (k = 3) dengan cluster1 sebanyak 33 data , cluster2 sebanyak 56 data, cluster3 sebanyak 49 data. Hal ini menunjukan nilai SSE paling besar dengan jumlah cluster sebanyak 3 dimana dengan jumlah cluster tersebut  yang paling ideal untuk melakukan clustering sekolah SMP berdasarkan data di Dinas Pendidikan Kabupaten Malang.
​Evaluasi E-learning dimasa Pandemi COVID-19 dengan menggunakan End-User Computing Satisfaction (Studi Kasus MTsN 4 Malang, Harjokuncaran, Sumbermanjing Wetan)
Authors: Mahfudho Zakiyah , Marthasari Gita Indah , Wiyono Briansyah Setio
Published: June 2022

Penelitian ini bertujuan untuk Mengevaluasi performa dari E-Learning Madrasah yang diterapkan oleh MTsN 4 Malang selama masa pandemi COVID-19 dan memberikan rekomendasi penggunaan dari hasil evaluasi yang dilakukan. penelitian ini menggunakan metode end user computing satisfaction dalam mendapatkan data untuk mengukur performa sistem E-learning madrasah yang diterapkan. Dalam penelitian ini, Sebanyak 101 responden yang merupakan peserta didik MTsN 4 Malang dari kelas 7, kelas 8, dan kelas 9 berdasarkan teknik pengambilan sampel purposive sampling berpartisipasi dalam pengisian instrumen penelitian. 30 responden merupakan peserta didik kelas 7 atau sebesar 29,7%, 35 responden (34,7%) dari peserta didik kelas 8, dan peserta didik kelas 9 sebanyak 36 responden (35,6%). Seluruh responden merupakan peserta didik aktif tahun ajaran 2020/2021. Hasil dari penelitian ini menunjukkan bahwa 4 dari 5 aspek yang terdapat pada metode EUCS (Content, Accuracy, Format, Ease of Use, dan Timeliness) masih dapat ditingkatkan agar peserta didik mampu dengan baik melakukan aktifitas belajar walaupun dilakukan secara daring. rekomendasi yang diberikan kepada pihak sekolah berdasarkan panduan pelaksanaan PJJ dari kemendikbud.
Rancang Bangun Pintu Portal Otomatis Berbasis IoT (Studi Kasus: Perumahan Mutiara Jingga)
Authors: Marthasari Gita Indah , Sari Zamah , Prasetyoko Hanafi
Published: June 2022

Perkembangan teknologi komputer kini sangat cepat, terutama dibidang mikrokontroler. Mikrokontroler bisa digunakan untuk membuat berbagai macam alat. Dengan menggunakan Arduino kita bisa membuat alat yang berguna. Salah satunya adalah pintu portal untuk perumahan berbasis IoT. Alat yang digunakan adalah Wemos D1 yang sudah terintegrasi modul ESP8266 sebagai koneksi ke Server melalui media jaringan WiFi. Menggunakan Servo SG90 untuk membuka Pintu Portal, menggunakan RFid RC522 untuk identifikasi, Sensor Ultrasonic HC-SR04 dan Breadboard PowerSupply. Wemos D1 akan mengirim data dari RFid RC522 menuju Server dengan Port HTTP. Data yang sudah dikirim akan dikelola oleh Server, data yang akan dikelola adalah Kartu RFid, Aksi, dan Jam Keluar Masuk. Tujuan Penelitian ini adalah untuk monitoring warga yang keluar dan masuk melalui Pintu Portal Perumahan dan menambah keamananan.
Temas clave en la formación inicial del profesorado de secundaria
Authors: García Lastra Marta , Osoro Sierra José Manuel , Calvo Salvador Adelina , Argos González Javier , Lázaro Visa Susana , Louzao Suárez María , Haya Salmón Ignacio , Salvador Blanco Laurentino , González Fuente Iñigo , Rubín Emilio
Published: June 2022

El texto que el lector tiene entre sus manos está dedicado al análisis y la reflexión sobre los contenidos que componen el módulo genérico del Máster de Formación del Profesorado de Educación Secundaria. Es un texto que se suma a los editados en los últimos años, aunque, en este caso, los autores comparten un mismo contexto de actuación (el máster de Formación del Profesorado de Secundaria) y trabajan sobre propuestas y principios educativos comunes. El recorrido temático que se aborda en el texto gira en torno a seis capítulos en los que se van desgranando aspectos esenciales de la escuela desde la mirada a los elementos fundamentales de la educación: las relaciones entre escuela y sociedad, la complejidad de la figura y funciones del docente, las características psicológicas y de aprendizaje del adolescente, el centro escolar y el currículo de secundaria, la respuesta de las instituciones educativas a la diversidad del alumnado y los procesos de investigación e innovación de los centros.
Enfermedades emergentes y reemergentes de plantas en Latinoamérica: una revisión.
Authors: Pedraza Herrera Luz Adriana , Sánchez Fernanda , Arias Avila Valeria , Moreno Maria Fernanda , Sánchez Leal Ligia Consuelo
Published: June 2022

Una enfermedad en plantas es el resultado de la interacción génica compatible entre un hospedero susceptible, un patógeno virulento y condiciones medioambientales favorables. Así, diversos factores direccionadores, antropogénicos y ambientales, han favorecido la emergencia y reemergencia de enfermedades que han conllevado a pérdidas importantes en los cultivos. América Latina no es la excepción de la presencia de estos fenómenos evidenciado en primeros reportes para diferentes países, expansión geográfica y en el rango de hospederos de patógenos, aparición de nuevas razas, cepas, variantes e incluso especies de virus, viroides, bacterias, hongos y oomycetos los cuales se han abordado en esta revisión, incluyendo las bacterias de los géneros Candidatus Liberibacter y Candidatus phytoplasma.
A practical toolbox for the effective transition of adolescents and young adults with asthma and allergies -- an EAACI Position paper
Authors: Vazquez-Ortiz Marta , Gore Claudia , Alviani Cherry , Angier Elisabeth , blumchen katharina , Comberiati Pasquale , Duca Bettina , DunnGalvin Audrey , Garriga Teresa , Gowland M Hazel , Egmose Britt , Knibb Rebecca , Khaleva Ekaterina , Mortz Charlotte , Pfaar Oliver , Pite Helena , Podestà Marcia , Santos Alexandra , Sanchez-Garcia Silvia , Timmermans Frans , Roberts Graham
Published: June 2022

Adolescence is a critical stage of rapid biological, emotional and
social change and development. Adolescents and young adults (AYA) with
asthma and allergies need to develop the knowledge and skills to
self-manage their health independently. Healthcare professionals (HCP),
parents and their wider network play an essential role in supporting AYA
in this process. Previous work showed significant limitations in
transition care across Europe. In 2020, the first evidence-based
guideline on effective transition for AYA with asthma and allergies was
published by EAACI. We herein summarize practical resources to support
this guideline’s implementation in clinical practice. For this purpose,
multi-stakeholder Task Force members searched for resources in peer
review journals and grey literature. These resources were included if
relevant and of good quality, and were pragmatically rated for their
evidence-basis and user friendliness. Resources identified covered a
range of topics and targeted healthcare professionals, AYA,
parents/carers, schools, workplace, and wider community. Most resources
were in English, web-based and had limited evidence-basis. This position
paper provides a valuable selection of practical resources for all
stakeholders to support effective transitional care for AYA with asthma
and allergies. Future research should focus on developing validated,
patient-centred tools to further assist evidence-based transition care.
Los efectos negativos de la religiosidad-espiritualidad en la salud mental: una revisión bibliográfica
Authors: Gallardo-Vergara Rene , Silva-Maragaño Patricio , Castro-Aburto Yasna
Published: June 2022

Aunque en la actualidad se cuenta con evidencia de los efectos positivos de la religiosidad/ espiritualidad en la salud mental, también existen reportes que dan cuenta de efectos mixtos. Incluso, se han reportado efectos adversos en la salud mental de las personas. En esta línea, el presente trabajo se propuso revisar la literatura acerca de los efectos negativos que la religiosidad y/o espiritualidad pueden tener en la salud mental e identificar sus principales facetas o dimensiones asociadas a estos efectos según la evidencia. Para ello, se indagó en las bases de datos EBSCO, AnnualReview, PubMed, MedLine, PsycINFO, SciELO, LILACS y PEPSIC, entre los años 2010 a 2021. Como principal conclusión, los descubrimientos presentes confirman que existen ciertos aspectos religiosos y/o espirituales que ejercen influencia negativa sobre la salud mental de una persona. Al finalizar, se discuten los principales hallazgos obtenidos de la revisión, sus implicancias en el quehacer clínico en la esfera de salud mental, las limitaciones del estudio y las futuras proyecciones investigativas.
Towards Data Storage Security in Cloud Computing Using Hybridized Advanced Encryption Standard & Authentication Scheme
Authors: Sarumi Jerry Abayomi , Longe O.B.
Published: June 2022

Cloud computing is at the heart of modern day computing and thus the rise in malicious attacks are increasing every day towards it. In recent times hackers have been engaging in different string concept on login fields and phishing in order to intrude cloud accounts. This research is proposed to carry out effective security mechanisms on loopholes in cloud data storage. We intend to engage the use of the Advanced Encryption Standard (AES), security Algorithms like Secure Hash Algorithm 1 & 3 (SHA1, SHA 3) and Message-Digest Algorithm (MDS) and the Standard Authentication Scheme (AS) as sure guide against phishing which when implemented can provide various login stages and codes like OTP (One Time Password) to mitigate attacks. With the application of these methods towards securing cloud computing data there will be less intrusion in accounts and loss of files. Keywords: Brute-force, Cracking, Hacking, Advanced Encryption Standard, Authentication
Challenges and Solutions to Child Abuse with Pornography
Authors:   Department of Computer Technology, School of Technology, Lagos State Polytechnic, Ikorodu Department of Mathematical Science, Faculty of Science, Augustine University Ilara, Epe, Sarumi,  (PhD) Jerry Abayomi , Ogunjimi L.O.A
Published: June 2022

The impacts of globalization, international competitions, and local social political demands have induced rapid changes in many countries in different parts of the world since the turn of new millennium. In such an era of fast transformation, education reform inevitably becomes necessary and teachers and their institutions have to face numerous new problems, uncertainties, and challenges rising from their internal and external environments. Information and communication technology (ICT) is an indispensable part of the contemporary world. In fact, culture and society have to be adjusted to meet the challenges of the knowledge age. This study sought to a) discover the specific factors that influence Information and Communications Technology (ICT) use in higher education teaching and learning; b) determine how ICT can be used within higher education in Nigeria; c) develop a framework / model for ICT adoption in higher education in teaching and learning to Cub Pornography in Nigerian; and d) use UNESCO’s continuum model of ICT development and the framework to ground these factors to produce a practical roadmap. The pervasiveness of ICT has brought about rapid technological, social, political, and economic transformation, which has eventuated in a network society organized around ICT. The field of education has not been unaffected by the penetrating influence of information and communication technology. Undoubtedly, ICT has impacted on the quality and quantity of teaching, learning, and research in traditional and distance education institutions. In concrete terms, ICT can enhance teaching and learning through its dynamic, interactive, and engaging content; and it can provide real opportunities for individualized instruction. Information and communication technology has the potential to accelerate, enrich, and deepen skills; motivate and engage students in learning; helps to relate college experiences to work practices; helps to create economic viability for tomorrow’s workers; contributes to radical changes in institution; strengthens teaching, and provides opportunities for connection between the college and the world. Information and communication technology can make the teacher education institutions more efficient and productive, thereby engendering a variety of tools to enhance and facilitate teachers’ professional activities. Keywords: Pornography, Child abuse, Cyber Crime, prevention, mitigation, ICTs
Steganography Schemes for Data & Information Protection
Authors:   Department of Computer Science, Lagos State Polytechnic, Ikorodu, Lagos, Nigeria Department of Computer Science, Federal School of Statistics, Ibadan, Nigeria Faculty of Computational Sciences & Informatics, Academic City University, Accra, Ghana, Sarumi J.A , Omotosho O.M. , Longe O.B
Published: June 2022

In this digital world of data transmission, information is at the heart of computers, transactions and international economic dealings. In ensuring the security of data and information researchers have come up with different schemes and techniques that can provide protection for data and information during transmission. The protection of sensitive information involves many interdependent policies and technological issues relating to information confidentiality, integrity, authenticity, anonymity, and utility. In this paper, we review literature on steganography protection schemes and highlight several developments that has ensured intellectual property protection over time. Keywords: Watermarking, Steganography, Fingerprinting, Cryptography, Intellectual Properties, Protection, Concealment, Adaptive Image Steganography
Towards Data Storage Security in Cloud Computing Using Hybridized Advanced Encryption Standard & Authentication Scheme
Authors:   Department of Computer Technology, Lagos State Polytechnic, Ikorodu, Lagos State, Nigeria Faculty of Computational Sciences & Informatics, Academic City University College, Accra, Ghana, Sarumi J.A. , Longe O.B
Published: June 2022

Cloud computing is at the heart of modern day computing and thus the rise in malicious attacks are increasing every day towards it. In recent times hackers have been engaging in different string concept on login fields and phishing in order to intrude cloud accounts. This research is proposed to carry out effective security mechanisms on loopholes in cloud data storage. We intend to engage the use of the Advanced Encryption Standard (AES), security Algorithms like Secure Hash Algorithm 1 & 3 (SHA1, SHA 3) and Message-Digest Algorithm (MDS) and the Standard Authentication Scheme (AS) as sure guide against phishing which when implemented can provide various login stages and codes like OTP (One Time Password) to mitigate attacks. With the application of these methods towards securing cloud computing data there will be less intrusion in accounts and loss of files. Keywords: Brute-force, Cracking, Hacking, Advanced Encryption Standard, Authentication Scheme, AES, ES, Security
Embodying Metaverse as artificial life: At the intersection of media and 4E cognition theories
Authors: Uspenski Ivana , Guga Jelena
Published: June 2022

In the last decades of the 20th century we have seen media theories and cognitive sciences grow, mature and reach their pinnacles by analysing, each from their own disciplinary perspective, two of the same core phenomena: that of media as the environment, transmitter and creator of stimuli, and that of embodied human mind as the stimuli receiver, interpreter, experiencer, and also how both are affected by each other. Even though treating a range of very similar problems and coming to similar conclusions, this still has not brought these two disciplines closer together or resulted in their interdisciplinary approach. They did coalesce in regards to traditional media such as film, but more points of connection are needed for untangling interactive and immersive media environments and their effects on human cognition, action, and perception. With the rise of VR and VR-like systems, especially as they start to evolve into the Metaverse as their main platform of interconnectivity, the tissue of the body becomes almost physically intertwined with that of the virtual surrounding it inhabits through immersion. Simultaneously, the interest in these disciplines arises anew, and especially the need to use their concepts in an interdisciplinary way. This paper?s main interest is to bring these disciplines together in problematising the position of a physical body and its sensory-motor capabilities and their development within synthetic surroundings as Metaverse and anticipate potential downsides of Metaverse?s uncontrolled growth. We will do so also by looking into Metaverse as an artificial-life-like phenomenon, following artificial-life rules and evolving a completely new ?corporeality?, a body which is completely adapted to virtual spaces. We call this body the Dry Body, an entity sharing cognitive resources with the physical body it is not a physical part of, but has to extend to.
Relative Performance Evaluation and Strategic Differentiation
Authors: Schäfer Peter
Published: June 2022

I predict that relative performance evaluation (RPE) CEOs avoid strategic differentiation and increase the correlation of their firms’ returns with that of their peers. This prediction follows from a moral hazard model integrating strategic differentiation decisions: Differentiation enhances performance but exposes firms to risks not shared with peers, and the weakening RPE’s risk-shielding effect. Consistent with my prediction, I find evidence that changes in peer-group correlation are higher for RPE than non-RPE firms. This effect is more pronounced if benefits from differentiation are low, RPE benchmarks are industry specific, or RPE grants are large. Additional analyses provide direct evidence that RPE CEOs differentiate strategies less from industry-common strategies than non-RPE CEOs. To address endogeneity concerns, I present a two-stage least-squares approach exploiting variance in RPE usage induced by compensation consultants’ distinct styles. My analyses suggest strategic differentiation decisions to help explain why many boards do not completely filter peer performance from CEO compensation.

Data Availability: All data are obtained from commercially available databases, including Compustat, CRSP, Execucomp, I/B/E/S, and ISS Incentive Lab.

JEL Classifications: M12; M21; M41; M52.
Effect of Coordination on Transient Response of a Hybrid Electric Propulsion System
Authors: Spada Chi̇odo Ludovica , Donateo Teresa , Ficarella Antonio
Published: June 2022

Thanks to its typical limited speeds and altitudes, Urban Air Mobility represents an interesting application for electric and hybrid-electric power systems. In addition, short-range requirements are compatible with the limited performance of today’s batteries, conversely to their current inapplicability for commercial aviation purposes. For the present study, a parallel Hybrid Electric Propulsion System for a coaxial-rotor Air Taxi has been implemented in Simulink and tested on four different sets of operating conditions, with a transient signal as input for the Power Lever Angle command. The goal of this investigation is to analyze the transient behavior of the hybrid-electric propulsion system in question, to underline the role of electric motors in assisting thermal engine during transients, and, in particular, focuses on the benefits deriving from the adoption of a coordination block which adapts torque split between the two power sources on the basis of actual engine response.
Design of a Wing Structure for a Single Turboprop Normal Category Aircraft
Authors: Bunyawani̇chakul Phacharaporn , Sripawadkul Vis
Published: June 2022

This paper presents the wing design and structural analysis of a single turboprop aircraft with a maximum take-off weight of 2,200 lbs. The aircraft’s wing structure is a conventional mid-wing configuration of a twisting trapezoidal planform with an aspect ratio of 0.6. The analysis involved determining the loads acting on the wing structure. That is, the aircraft’s flight envelope and the wing’s critical loading condition are according to Title 14 Code of Federal Regulations Part 23 (14 CFR Part 23). The wing CAD model, composed of the aircraft wing components of the spar, ribs, and skins, including its layout, was developed and analyzed based on available 7075T6 Aluminum sheets using the SolidWorks software. The results for the wing’s critical loading condition showed that the wing tip displacement was less than 5% of the half-wingspan with a margin of safety of 0.5 and a mass of 117.97 lbs which was less than the expected mass of 132 lbs.
Разработка анкеты самооценки метакогнитивного поведения «Метакогнитивные навыки в структуре учебно-профессиональной деятельности»
Authors: Денисова Екатерина Г.
Published: June 2022

В статье представлены результаты разработки анкеты самооценки метакогнитивного поведения «Метакогнитивные навыки в структуре учебно-профессиональной деятельности». Во Введении дается теоретический обзор по проблеме метакогнитивного поведения и существующим методам его исследования. Обоснована содержательная валидность и описана структура анкеты. Научная новизна данной работы заключается в разработке нового измерительного инструмента, помощи которого можно достоверно оценить не только значимые для учебно-профессиональной деятельности субъектов образовательного процесса характеристики метапознания, но и получить представление о степени их осознанности. В разделе Методы описаны методы, процедура исследования и обработки данных. Для проверки конструктной валидности применялись: опросник метакогнитивной включенности в деятельность; Шкала самооценки метакогнитивного поведения; тест «Дифференциальный тип рефлексии». Дано описание выборки: 425 человек в возрасте от 17 до 80 лет – обучающиеся и сотрудники учебных заведений южного федерального округа Российской федерации. В разделе Результаты представлены результаты анкетирования и сравнительного анализа ответов на вопросы анкеты в исследуемых подгруппах, а также корреляционный анализ результатов анкетирования с показателями валидных опросников. Установлено, что большинство респондентов, оценивая свои способы взаимодействия с информацией отмечают, что используют навыки метапланирования, процессуальные навыки и метакогнитивный контроль достаточно часто и осмысленно. При этом степень осознанности использования метакогнитивных навыков различается в исследуемых подгруппах. Также выявлен ряд корреляций между расчетными показателями анкеты и шкалами валидных опросников. В Обсуждении результатов проведен анализ полученных результатов, в том числе в соответствии с уровнем их значимости. В Заключении приведен вывод о том, что разработанная анкета самооценки метакогнитивного поведения «Метакогнитивные навыки в структуре учебно-профессиональной деятельности» обладает психометрическими свойствами соответствующие данному уровню диагностических инструментов.
Future population ageing and productivity in Finland under different education and fertility scenarios
Authors: Marois Guillaume , Rotkirch Anna , Lutz Wolfgang
Published: June 2022

This study projects different dependency ratios under various scenarios of future fertility and tertiary education in Finland to assess how the economic consequences of population aging depend on these trends. Applying a multidimensional demographic approach through a discrete-time microsimulation model, we project the newly introduced productivity-weighted labour force dependency ratio for Finnish scenarios until 2060 and compared it with the labour force dependency ratio and the traditional age dependency ratio.

Results show that population aging looks less daunting when considering labour force dependency ratios as compared to purely age-based ratios, yet all measures and scenarios show a deterioration of the dependency ratio. While the old age dependency ratio is projected to increase by 73 per cent, the labour force dependency ratio would increase by 32 per cent, and the productivity weighted labour force dependency ratio by 28 per cent. Provided a more rapid increase in educational attainment, the last indicator is expected to increase less, with 21 per cent until 2060. Should the stalled trend in educational achievement of the 2010s continue, there would be very modest future gains in the productivity-weighted ratio. In other words, the consequences of population ageing look less dramatic for economic productivity, were Finnish men to become as educated as Finnish women.

Of the three fertility scenarios considered, a total fertility rate of 2.0 is most advantageous and a low fertility of 1.2 least optimal for adult dependency ratios, but only after 2050.  Interestingly, a combination of recovered fertility to 1.6 with a more rapid educational expansion would be better for productivity than only raising fertility to 2.0. Boosting educational levels would hence mitigate the negative effects of a shrinking labour force more than increasing fertility within reasonable bounds.

Our results suggest that implementation of the current government goals for educational expansion, combined with a not unrealistic recovery of total fertility rates to around 1.6, would both clearly alleviate the worsening dependency ratio. We conclude that although there is no quick fix to the economic effects of population ageing, these can be proactively mitigated with different and complementing policies, and taking into account multidimensional population trends.