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Background: Mobile health (mHealth) consumer applications (apps) have been integrated with deep learning for skin cancer risk assessments. However, prospective validation of these apps is lacking. Objectives: To identify the diagnostic accuracy of an app integrated with a convolutional neural network for the detection of premalignant and malignant skin lesions. Methods: We performed a prospective multicenter diagnostic accuracy study of a CE-marked mHealth app from January 1 until August 31, 2020, among adult patients with at least one suspicious skin lesion. Skin lesions were assessed by the app on an iOS or Android device after clinical diagnosis and before obtaining histopathology. The app outcome was compared to the histopathological diagnosis, or if not available, the clinical diagnosis by a dermatologist. The primary outcome was the sensitivity and specificity of the app to detect premalignant and malignant skin lesions. Subgroup analyses were conducted for different smartphone types, the lesion's origin, indication for dermatological consultation, and lesion location. Results: In total, 785 lesions, including 418 suspicious and 367 benign control lesions, among 372 patients (50.8% women) with a median age of 71 years were included. The app performed at an overall 86.9% (95% CI 82.3–90.7) sensitivity and 70.4% (95% CI 66.2–74.3) specificity. The sensitivity was significantly higher on the iOS device compared to the Android device (91.0 vs. 83.0%; p = 0.02). Specificity calculated on benign control lesions was significantly higher than suspicious skin lesions (80.1 vs. 45.5%; p < 0.001). Sensitivity was higher in skin fold areas compared to smooth skin areas (92.9 vs. 84.2%; p = 0.01), while the specificity was higher for lesions in smooth skin areas (72.0 vs. 56.6%; p = 0.02). Conclusion: The diagnostic accuracy of the mHealth app is far from perfect, but is potentially promising to empower patients to self-assess skin lesions before consulting a health care professional. An additional prospective validation study, particularly for suspicious pigmented skin lesions, is warranted. Furthermore, studies investigating mHealth implementation in the lay population are needed to demonstrate the impact on health care systems. [ABSTRACT FROM AUTHOR]

As a result of the spread in the mobile market, new kinds of malware have developed. Many malicious users began to produce harmful applications for open-source operating systems such as Android, and closed-source operating systems like iOS. For this reason, new anti-malware methodologies are necessary to identify them. Currently, most of them base their approach on the signature, and it does not allow users to defend themselves from current threats. In this article, we propose an automatic tool able to identify dangerous iOS applications by defining a system model through Milner's Calculus of Communicating Systems and the consequence use of the State Transitions System to evaluate the behaviors of an application, to categorize if it is malware or a legitimate application. As a result of the experiments conducted, we obtained relevant performances with good precision and recall levels. [ABSTRACT FROM AUTHOR]

The use of random MAC addresses is considered as an important tool to improve a user's privacy on a Wi-Fi network. Although this technique was proposed since 2014, its implementation was not effective immediately but had an uneven evolution over the following years. This paper studies the evolution of random MAC addresses based on the analysis of data collected in public Wi-Fi networks located in different areas of Latin American countries from 2016 to 2021. Statistical analysis is performed using the analysis of variance technique (ANOVA) that tests whether there are significant differences in the rate of MAC randomization over different periods of time and thereby identified an uneven evolution of the implementation of MAC address randomization measures in mobile devices with different operating systems, and also the massification of these measures from 2019. The development of the massification of randomized MAC addresses and the impact of the existence of centralized and widely controlled operating systems, such as iOS, is evident. [ABSTRACT FROM AUTHOR]

The goal of this thesis is to produce a mobile application which works on both Android and iOS devices to help people to find information about vaccination places and do the registration process in the chosen place. This application is expected to create vaccination places which follows currently applied health protocol by limiting the number of people who are going to take a vaccine. In addition, users can also view vaccination certificates as proof that they have been vaccinated through the application. The application development process uses waterfall method. Evaluation is done by distributing questionnaires and drawing conclusions based on the results of the questionnaire. [ABSTRACT FROM AUTHOR]

Abstract Asthma is a common chronic condition, affecting approximately 339 million people worldwide. The main goal of the current asthma treatment guidelines is to achieve clinical control, encompassing both the patient symptoms and limitations and the future risk of adverse asthma outcomes. Despite randomized controlled trials showing that asthma control is an achievable target, a substantial proportion of asthmatics remain poorly controlled in real life. The involvement of peripheral small airways has recently gained greater recognition in asthma, and many studies suggest that the persistent inflammation at these sites leads to small airway dysfunction (SAD), strongly contributing to a worse asthma control. Overall, the impulse oscillometry (IOS), introduced in the recent years, seems to be able to sensitively assess small airways, while conventional spirometry does not. Therefore, IOS may be of great help in characterizing SAD and guiding therapy choice. The aim of this article is to review the literature on SAD and its influence on asthma control, emphasizing the most recent evidence.

As the number of smartphone users grows, the smartphone's function in healthcare has evolved from a device that is used to arrange doctor appointments via the internet rather than the traditional approach. Mobile apps are a convenient way to track and collect data in order to combat the spread of COVID-19. To ensure that the right to privacy and civil liberties are maintained, we report on our investigation of 50 COVID -19- related apps, including their access to and use of personally identifiable information. Reservations are made at the doctor over the Internet, and an appointment is arranged for the visit and medical examination at a certain time, resulting in a reduction in the spread of the virus, especially in pandemic conditions such as Covid-19. Additionally, this provides a service for saving data and health files in the cloud on the Internet to retrieve information when needed, and not wasting these files and health papers while providing protection for them in terms of patient privacy. Designing an application (App) functioning on IOS and Android systems which works in mobile devices easily to provide the ability to book a doctor appointment from App. The App is a link between the patient and the doctor to reduce the patient’s presence in health centers and medical facilities which are good centers for transmission of infection, especially in COVID-19. During the design of app, we have considered the low speed of data throughput especially for IRAQ.

Minimnya alat peraga bagi beberapa sekolah vokasi menjadi kendala tersendiri dalam proses kegiatan pembelajaran. Kebutuhan akan alat peraga dalam bidang otomotif sangat diperlukan namun masih banyak kendala terkait dengan kepemilikan alat peraga karena mahalnya pengadaan alat tersebut. Untuk membantu penggunaan alat peraga dengan media penunjang lainnya dalam penelitian ini adalah menerapkan teknologi baru yang dapat membantu kegiatan pembelajaran agar lebih meningkatkan pemahaman peserta didik pada proses belajar pengenalan sepeda motor. Penelitian ini bertujuan untuk membuat sebuah media baru dengan menerapkan teknologi Augmented Reality (AR) pada aplikasi pengenalan perangkat sepeda motor sebagai penunjang pembelajaran. Objek dibuat 3 dimensi yang menyerupai kondisi nyata disajikan secara visual dan interaktif. Penelitian ini melalui rangkaian tahapan dimulai dari merancang aplikasi yang berdasarkan pembagian konteks dalam alat peraga AR yang terbagi menjadi tema bodi sepeda motor, kerangka sepeda motor, rangkaian kelistrikkan sepeda motor serta tema mesin sepeda motor. Kemudian mengimplementasikan aplikasi pengenalan perangkat sepeda motor menggunakan teknologi Augmented Reality sampai pada tahap pengujian aplikasi. Dapat disimpulkan bahwa pada tahapan pengujian jarak dan sudut bahwa aplikasi ini akan berjalan dengan baik ketika kamera augmented reality berjarak 25 cm dari marker dan pada sudut antara 90 derajat sampai sudut minimal 30 derajat. Berdasarkan uji kuesioner aplikasi ini dapat menunjang pembelajaran pada siswa SMK jurusan Teknik Sepeda Motor sesuai dengan yang diharapkan.

Study presented in this paper concerns the comparative analysis of the performance of iOS applications developed using native and cross-platform technologies. For the purpose of the research, two iOS applications were implemented: the first one was created using the Swift programming language, while the second one using Flutter technology. For both applications, a set of research scenarios was defined, which assumed the examination of the time of execution and CPU consumption during the execution of operations, such as: sorting integers, writing and reading string from a file or writing and reading records from the SQLite database. The conducted analysis showed that it is not possible to clearly state which application is more efficient in terms of execution time and CPU consumption, because they obtained divergent results for different research scenarios. The native application performed better for file and database operations, while the cross-platform one obtained lower time and CPU consumption when sorting numbers.

El presente trabajo busca generar una automatización mediante una aplicación móvil con la cual los usuarios que cuenten con un vehículo, ofrezcan a las personas una opción de viaje a sus destinos, basada en su ruta diaria y a un precio accesible. La idea surge de la necesidad de que los usuarios conductores puedan tener un ingreso extra llevando pasajeros dentro de su recorrido, y a su vez, los pasajeros puedan contar con una aplicación alternativa más económica que les permita llegar más rápido a sus destinos finales. Se utilizan herramientas que son tendencia actualmente, como Firebase para la gestión de datos, Xamarin como principal en cuanto al desarrollo, debido a su gran ventaja de reutilizar el mismo código para las plataformas de Android y IOS, como complemento se utilizarán las APIs de Facebook y Google para brindar al beneficiario una alternativa de inicio de sesión, y Google Maps para el despliegue de rutas en un mapa. Los resultados evidencian que el sistema será una gran opción al momento de gestionar la rutas.

The noise produced by the equipment used outside, in mainly in constructions and public works is an important part of the noise of a community, known as environmental noise, noise residential or internal noise. Other sources of external noise are represented by road, rail and air traffic, industries and the neighborhood and there is also the internal noise. In the work, a mobile application for noise measurement is developed, through which the employees of companies that include loud noises as a disturbing factor, to show real results and ask for better solutions from the employer regarding the daily fight against pollution sounds to which they are exposed and which over a long period of exposure can lead to a harsh unraveling. [ABSTRACT FROM AUTHOR]

The noise produced by the equipment used outside, in mainly in constructions and public works is an important part of the noise of a community, known as environmental noise, noise residential or internal noise. Other sources of external noise are represented by road, rail and air traffic, industries and the neighborhood and there is also the internal noise. In the work, a mobile application for noise measurement is developed, through which the employees of companies that include loud noises as a disturbing factor, to show real results and ask for better solutions from the employer regarding the daily fight against pollution sounds to which they are exposed and which over a long period of exposure can lead to a harsh unraveling. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of Engineering & Management Sciences (2498-700X) / Műszaki és Menedzsment Tudományi Közlemények is the property of University of Debrecen and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction Planning fixed prosthodontic reconstruction can be challenging task in everyday practice. When the last tooth in dental arch is missing, a single implant-supported crown is recommended. With the evolution of digital technology, it became possible that these restorations can be made using completely digital approach. The aim of this case report was to present complete clinical procedure of making implant supported single zirconia crowns for posterior teeth using completely digital approach. Case report A 53-year-old patient presented to the dental office with missing both first molars in the lower dental arch. The decision was made to make two implant-supported single screw-retained crowns, using digital approach. Intraoral scanning of the soft tissues and the implants' position was done using intraoral scanner Medit i500. The laboratory steps followed: computer-assisted design (CAD) and computer-assisted manufacturing (CAM) of zirconia crowns. Conclusion Implant-supported single crowns for posterior teeth are an excellent solution for patients when the last tooth in dental arch is missing. Digital approach-from initial intraoral scanning (IOS), to designing the restoration in software and further processing of monolithic CAD/CAM generated crowns out of zirconia gives predictable, highly esthetic and functional results for implant-supported single crowns.

ObjectiveTo determine whether a framework-based approach for mobile apps is appropriate for the implementation of psychological testing, and equivalent to established methods.MethodsApple's ResearchKit was used for implementing native implicit association test methods (IAT), and an exemplary app was developed to examine users' implicit attitudes toward overweight or thin individuals. For comparison, a web-based IAT app, based on code provided by Project Implicit, was used. Adult volunteers were asked to test both versions on an iPad with touch as well as keyboard input (altogether four tests per participant, random order). Latency values were recorded and used to calculate parameters relevant to the implicit setting. Measurements were analyzed with respect to app type and input method, as well as test order (ANOVA and χ2 tests).ResultsFifty-one datasets were acquired (female, n = 21; male, n = 30, average age 35 ± 4.66 years). Test order and combination of app type and input method influenced the latency values significantly (both P

Background: The main goal is to detect the proximity and orientation of autistic individuals alongside those they are interacting with, and help them be more engaging in a social setting.    http://profs.sci.univr.it/~cristanm/ssp/ Faculty Adviser: LouAnne Boyd, Department of InformaticsGillian Hayes, Department of Informatics    hayesg@uci.eduFaculty Adviser: Prof. Pai H. Chou, Department of Electrical Engineering & Computer Science             phchou@uci.edu

Aim/Purpose Explores the interrelationships between uncertainty, motivation, and IT readiness when predicting IOS adoption among small businesses. Background Small business IOS adoption is proportionally low in most countries worldwide. Methodology Uses a sample of small businesses and PLS structural-equations path modelling approach. Contribution Uncertainty is an underexplored construct in information systems research, and our research shows that it plays a significant role in IOS adoption among small businesses Findings The findings support that uncertainty has a negative effect on intent to adopt IOS and that motivation and IT readiness have a positive effect. Recommendations for Practitioners To alleviate uncertainty, an effort to win over small business managers to IOS over the internet must encompass accessible information, security provisions, low-cost product, simple interfaces, and system adaptability to existing provisions in the IOS network. Recommendations for Researchers The uncertainty perspective has not been tested extensively empirically, especially not in the context of technology adoption, and needs further investigation. Future Research Future research could explore the uncertainty construct in the context of IOS among different size businesses. [ABSTRACT FROM AUTHOR]

We show that firms' investment opportunity sets (IOS) are multidimensional. Analyzing Form 10-K texts, we identify 445 unique keywords that predict firms' future investments during 1995–2009 and combine them into 43 underlying factors. Industry-specific factors include Bio-Pharma, Banking, Information Technology, Oil and Gas, and Retail Stores, while more general factors include Equity Intensity, Debt Intensity, Lease, Going Concern, and Acquisition. These factors form our multidimensional measures of IOS. They outperform Tobin's Q and/or industry fixed effects, in predicting future out-of-sample (2010–2015) investments and related corporate policies, and even inform incrementally over lagged dependent variables. We trace the factors' improved predictive power to their multidimensional nature, which captures IOS-related variation within and between industries, and stability in IOS that allows 10-K texts to be more informative. Data Availability: Data are available from the public sources cited in the text. JEL Classifications: G31; G32; G35; M41; M21. [ABSTRACT FROM AUTHOR]

Algorithms, taken in the first year of university, is one of the core courses of the computer science department. Traditional learning systems have some restrictions as they are teacher, class, and time‐based. However, distance education is one of the popular concepts of today since it has the flexibility of time and choice of location. Mobile learning, which is a subbranch of distance education provides users opportunities to learn through educational mobile applications. In the present study, an application to run on smart devices running the IOS operating system for engineering students to be used in supporting the basic algorithm education is described. The student can both get theoretical knowledge about concepts of algorithms, and test himself/herself with questions in the question bank. There are three types of questions, such as multiple‐choice, true/false, and flowchart designed by the dragging‐and‐dropping method. The main contribution of this application is that the users can design a flowchart from beginning to end on screen by locating any flowchart components provided on the palette. They also have the opportunity to check their own solutions according to the inserted questions and answers in the database. The application was tested on a group of computer engineering undergraduate students from Mus Alparslan University. In that case, the application is evaluated by both an exam and user surveys. The results of the exam show that the presented application had a positive effect on students' success. Besides, the outcomes of the surveys have also given positive feedback. [ABSTRACT FROM AUTHOR]

Resumo Estudos climáticos associados às variáveis físicas da atmosfera para identificação de padrões e suas variações necessitam de séries de dados longas para terem resultados mais confiáveis. Nem sempre essas séries com medidas instrumentais têm essa longevidade de observações, por isso aproximações por técnicas paleoclimáticas são importantes para inferir variabilidades relacionadas a esses processos físicos da natureza. Variações da superfície de temperatura da superfície do mar (TSM) que ocasionam diferenças de pressão a superfície entre o oeste e leste do oceano Pacífico, chamadas de Oscilação Sul, são características que estão associadas a eventos de alterações de TSM no Pacífico Tropical (El Ninõs, La Niñas e Neutros), que impactam climaticamente várias áreas do globo. Foram usados proxies de precipitação referentes às áreas no oeste e leste do Pacifico, 50-1955 DC, do índice de Oscilação Sul e de precipitação de duas áreas no sudoeste (1800-2012 DC) e leste (1800-2012 DC) da Amazônia. A metodologia base foi o cálculo de escores Z usados como medidas de variabilidade dos proxies. Os principais resultados mostraram que os proxies de IOS indicaram eventos de El Niños (La Niñas) associados a períodos de climas globais mais quentes no período RWP e MWP e mais frias no período DACP e LIA. Para as áreas da sudoeste e leste da Amazônia os proxies mostraram que ocorreu uma maior variação da precipitação nesses últimos 200 anos no setor sudoeste da mesma.

Michela D’Ascanio,1 Fausta Viccaro,1 Noemi Calabrò,1 Giulio Guerrieri,1 Claudia Salvucci,1 Dario Pizzirusso,1 Rita Mancini,1 Claudia De Vitis,1 Aldo Pezzuto,2 Alberto Ricci1 1Department of Clinical and Molecular Medicine, Sant’Andrea Hospital, Sapienza University of Rome, Rome, Italy; 2Department of Cardiovascular and Respiratory Sciences, Sant’Andrea Hospital, Rome, ItalyCorrespondence: Michela D’Ascanio Via di Grottarossa 1035/1039, Roma 00189, RM, ItalyTel +390633776768Email dascaniomichela87@gmail.comPurpose: Lung hyperinflation is a feature of chronic obstructive pulmonary disease (COPD) and can determine pivotal consequence on symptoms, exercise tolerance and quality of life. Despite the relevance of assessing lung hyperinflation, there is still no single consensus as to what volume should be taken into account. We investigate which spirometric measurement is more reliable in assessing static lung hyperinflation and which is more related with impulse oscillometry system (IOS) measurements in COPD.Patients and Methods: Fifty-five COPD patients were enrolled. TLC, RV and RV:TLC ratio were obtained both with helium and plethysmography techniques. IOS measurements (X5, Fres and R5-R20) were performed. Pearson and Spearman correlation determined the relationships between the functional parameters that evaluate static hyperinflation (RV: TLC, TLC, RV) and IOS measurements.Results: As expected, we reported a statistically significant difference between these two techniques in terms of mean percentage values of TLC (7.57 ± 3.26 L; p= 0.02) and RV (15.24 ± 7.51 L; p=0.04), while RV:TLC measured with the two methods was similar (5.21 ± 4.69%; p=0.27). The correlation analysis showed that IOS parameters, such as difference in resistance between 5 Hz and 20 Hz (R(5– 20)) and resonant frequency (Fres), were positively correlated with RV:TLC ratio, while reactance at 5 Hz (X(5)) was negatively correlated with it. In particular, we pointed out a weak correlation between RV:TLC (%) (Pleth) and R(5– 20) (r=0.3, p=0.04), Fres (r=0.3; p=0.03), while X5 had a mild correlation with RV:TLC (%) (r=− 0.5;p< 0.0001). Moreover, we noticed a strong relationship between RV:TLC (%)(He) and X5 (r=− 0.7; p=0.0001) and a mild correlation between RV:TLC (%) (He) and Fres (r=0.4; p=0.003). Between R5-R20 and RV:TLC, there was a weak correlation (r=0.3; p=0.001). No correlation between TLC, RV (L,%) (both helium and Pleth derived) and IOS parameters (R(5– 20), X5, Fres) was found.Conclusion: RV:TLC can represent the most reliable parameter in the assessment of hyperinflation, considering the absence of significant difference in its measurement between the two techniques. IOS provides supplementary information in the assessment of static hyperinflation.Keywords: hyperinflation, COPD, IOS

Every year, routinely PT. Enseval Putera Megatrading held several events which were held face-to-face and online and involved many parties, from the employees' board of directors and external parties as sources. The events held include: National Work Meeting (RAKERNAS), Mid Year Work Meeting, Product Launching, EMDP Graduation, Enseval Anniversary, Innovation Forum, and others. There are at least 3 stages that the Event Owner must go through in organizing and achieving the goals of an event, pre-event starting from the formation of the committee to determining the concept of the event that will take place, running events starting from registering participants who are present in the event to maintaining the event's run down, post events ranging from gathering feedback on events to publishing materials. An event management system is absolutely necessary to support the success of the event. Valent, which is a React Native based mobile application, is the right step to answer this need. React native is an application that is used using the JavaScript programming language to create applications in developing applications on smartphones based on Android and iOS. (Zammetti, 2018) This allows Valent to run on 2 OSes at once (Android & IOS) so that all event participants can enjoy the benefits of the Valent application directly from their respective smartphones.

Shown symptoms in digestive diseases might be similar, resulting in patient’s suspected diseases before and after diagnosis attempt might turn out to be different. This paper aims to build a design of an expert system for digestive disease identification using Naïve Bayes methodology for iOS-based applications. The result from this paper helps medical interns to increase the accuracy in predicting patient’s suspected digestive disease. A precise prediction in suspected disease identification can minimalize unnecessary diagnosis attempts, which saves time and reduces cost. Naïve Bayes is chosen because it has a higher accuracy level than other classification methods. This research includes collecting data through literature reviews on digestive diseases and their symptoms, processing the data to be turned into a knowledge base for the expert system, conducting data training using Naïve Bayes by the designed expert system application through this research. The result from the conducted data training using Naïve Bayes methodology shows that the expert system application has a higher accuracy level, which is 84%.

This study aims to determine the effect of firm size, leverage , sales growth, and investment opportunity set to the value of company. The sample in this study were 53 data from 18 mining companies listed on the Indonesia Stock Exchange in the 2015-2018 period that met the criteria. This type of research is quantitative and the sample used is purposive sampling. The analysis of the data used is the statistical analysis in the form of multiple linear regression. The results of this study indicate that firm size does not effect the firm value, leverage has a significant negative effect on firm value, sales growth and investment opportunity set has a significant positive effect on firm value.

The presented paper describes the creation of a mobile application module for showing a current menu at Mendel University cafeterias. Nowadays, the students and the university staff have the menu accessible through a static webpage. The presented solution serves as a dynamic presentation of the current menu for all Mendel University in Brno cafeterias. Most cafeteria menu applications use the REST architectures for the server backend. The contribution of the paper is in usage of the Google Firebase Realtime database as a server backend. Unlike in traditional REST architecture, the data e.g. the food rating is instantaneously changed and the users have an up to date information. Part of the presented solution is also a mobile application module for both Android and iOS where university students and staff can see the current cafeterias menus.

(1) Background: New intraoral (IOS) and laboratory scanners appear in the market and their trueness and precision have not been compared. (2) Methods: Seven IOS and two laboratory scanners were used to scan a mandibular edentulous model with four parallel internal hexagon implant analogues and PEEK scan bodies. Digital models in Standard Tessellation Language (STL) were created. The master model with the scan bodies was scanned (×10) with a computerized numerical control 3D Coordinate Measuring Machine (CMM). The short (distances of adjacent scan posts) and long distances (distances of the scan posts with non-adjacent sites in the arch) among the centroids of the four analogues were calculated using CMM special software. Trueness (comparisons with the master model) and precision (intragroup comparisons) were statistically compared with ANOVA, chi-square and Tukey tests. (3) Results: Laboratory scanners had the best trueness and precision compared to all IOSs for long distances. Only iTero (Align Technologies Inc., Milpitas, CA, USA) had comparable trueness with one laboratory scanner in short and long distances. For short distances, CS3600 (Carestream Health, Inc., Rochester, NY, USA), Omnicam, Primescan (Sirona Dental Sys-tems GmbH, Bens-heim, Germany) and TRIOS 4 (3Shape A/S, Copen-hagen, Denmark) had similar trueness to one laboratory scanner. From those, only Omnicam and Primescan had similar precision as the same laboratory scanner. Most IOSs seem to work better for smaller distances and are less precise in cross-arch distances. (4) Conclusions: The laboratory scanners showed significantly higher trueness and precision than all IOSs tested for the long-distance group; for the short distance, some IOSs were not different in trueness and precision than the laboratory scanners.

This study aims to determine and analyze the effect of financial performance (profitability, leverage, capital expenditure, liquid asset substitute), IOS, and company size on cash holding by using dividend policy as a moderating variable. The number of samples of this study was 108 observations of non-financial companies in the LQ 45 Index for the period of 2011-2016. The results of moderated regression analysis (MRA) shows that profitability has a positive effect on cash holding, while leverage, liquid asset substitute, IOS, and firm size have negative effect on cash holdings. The results of this study also show that dividend policy can be a moderating variable which weakens the positive effect of profitability on cash holding and strengthens the negative effect of capital expenditure, but the dividend policy is not able to moderate the influence of leverage on cash holding. As a result, the companies were able to make large dividend payouts to reduce the excessive amount of cash holding that managers often abused for their own benefits and increasingly prospering investors with a given dividend.

Abstract Background The rapid progress in information and communication technologies has promoted the development of smartphone applications (apps) for a wide variety of purposes including workplace safety. However, no specific apps for occupational risk prevention in the police domain seemingly exist as yet. In this work, an app running under the iOS and Android operating systems was developed to help police officers become acquainted with policing-related occupational risks and to prevent their damaging consequences. Results The proposed app, which uses an iterative user-centered design to avoid occupational risks in policing activities, was assessed for performance by a group of users and experts through a System Usability Scale (SUS) questionnaire. The mean overall score for the questionnaire was 82.3. The app has backend support to facilitate continual improvement through contributions from users and administrators. A field test revealed increased awareness of policing occupational risks after using the app in many users. Conclusions A novel product that covers the needs of ORP requirements of police officers has been developed.

Objective: Switching the treatment with antidepressant and antipsychotic drugs is often necessary and must be carried out effectively to minimize unjustified treatment interruptions. For these reasons, we have decided to create a simple assistance software tool the SwitchApp application. This application can serve as an “evidence-based” guide to determine the duration of administration and the dosing of individual medicinal products when switching between them, and thus substantially assist psychiatrists when switching respective therapy. Material and methods: Data for the Switch App were obtained from public sources (summaries of product characteristics, scientific literature, guidelines). The most frequently used antipsychotics and antidepressants in the Czech Republic have been selected. A website was first created based on wireframes, assignments and provided documentation (using ASP.NET Core and Angular frames), which has been internally tested by a user. When the final version of the website was approved, a mobile application was developed for Android and iOS devices (using the Apache Cordova framework). Results: The web application has a very simple intuitive interface, which can be accessed on http://www.switchapp.cz/. The application for mobile phones can be downloaded and installed under the name SwitchApp (TME solutions s.r.o. – medicine) on the Google Play (Android) and App Store (iOS) platforms. Antipsychotics and antidepressants are selected from the scrolling lists in the left part of the screen and therapeutic doses are entered in the right part of the screen. After entering the required data (active substances are mandatory, the dose does not have to be entered) and clicking on the box “evaluate”, a clear dosing chart and a text description in case of antipsychotics and a text description in case of antidepressants are displayed. Conclusion: SwitchApp is the first and the only Web portal and a mobile application in the Czech language assisting physicians to plan a schedule when switching medicinal products. The application contains a clear guide offering physicians evidence-based recommendations for the gradual change of dosing of antipsychotics or antidepressants they are discontinuing or initiating. The validity of the outcomes is confirmed by the professional guarantee of the Psychiatric Society of the Czech Medical Association of J. E. Purkyne. However, this is only a recommended proposal for the procedure when switching pharmacotherapy in such groups of patients, but the overall health status must always be taken into account. [ABSTRACT FROM AUTHOR]

Historical and archeological data finds fully prove that the present territory of Central Asia, including the territory of Turkmenistan, was one of the origin of cultural centers. Pakistan and Turkmenistan are two brotherly Muslim nations with exclusive cohesions of political and historical nature. Pakistan and Turkmenistan have been relishing exceptional political, cultural economic and social relations since 1991. Turkmenistan is gifted with gigantic hydrocarbon assets, which can deliver energy to Pakistan to encounter its requirements. Pakistan likewise supports Turkmenistan’s resourcefulness to create trans-regional energy corridors. Both nations enjoy exceptional economic, social, cultural and political relations since 1991 as from the first day Pakistan has recognized the independence of Turkmenistan from USSR. For the past two decades, Pakistan and Turkmenistan have been emergingvirtuous diplomatic relationship.Both countries in his visit to Pakistan agreed to start nonstop air links between Pakistan and Turkmenistan which has developed a trade corridor in the area. Pakistan and Turkmenistan have developed strategy of maximum cooperation and utilization of international forums to enhance bilateral relations for the betterment of their people and this strategy is visible through the coordination of the leadership of Pakistan in UNO, ECO, OIC and other international forums. [ABSTRACT FROM AUTHOR]

Keywords: chronic sinusitis; iOS; mobile apps; SNOT-22; telemedicine EN chronic sinusitis iOS mobile apps SNOT-22 telemedicine 1283 1286 4 07/28/21 20210801 NES 210801 Using the validated1-4 22-item Sino-Nasal Outcome Test (SNOT-22)5 patient-reported outcome measure (PROM), we developed a pilot mobile device application (app) that reminds patients to monitor their symptoms, conducts a survey, and reports their scores to a centralized repository. GLO:BDB7/01aug21:alr22795-fig-0002.jpg PHOTO (COLOR): 2 SNOT-22 total score results captured by the five patients who were monitored longitudinally using the app, as a demonstration of a visualization of the data captured. Distributed monitoring of sinonasal symptoms using a mobile device application - a pilot study. [Extracted from the article]

Factors limiting foam injection for EOR application are exceptionally low rock permeability and exceedingly high salinity of the formation water. In this regard, foam formation using internal olefin sulfonate is investigated over a wide salinity range (1, 5, 8, 10, and 12% NaCl) through 10 mD limestone. The relationships between pressure drop (dP), apparent viscosity, liquid flow rate, total flow rate, salinity, foam texture, and length of foam drops at the outlet used as an indicator of viscosity are studied. Foaming is observed up to 12% NaCl, compared to a maximum of 8% NaCl in similar core-flooding experiments with 50 mD limestone and 255 mD sandstone. Thus, the salinity limit of foam formation has increased significantly due to the low permeability, which can be explained by the fact that the narrow porous system acts like a membrane with smaller holes. Compared to the increasing dP reported for highly permeable rocks, dP linearly decreases in almost the entire range of gas fraction (fg) at 1–10% NaCl. As fg increases, dP at higher total flow rate is higher at all salinities, but the magnitude of dP controls the dependence of apparent viscosity on total flow rate. Low dP is measured at 1% and 10% NaCl, and high dP is measured at 5, 8, and 12% NaCl. In the case of low dP, the apparent viscosity is higher at higher total flow rate with increasing gas fraction, but similar at two total flow rates with increasing liquid flow rate. In the case of high dP, the apparent viscosity is higher at lower total flow rate, both with an increase in the gas fraction and with an increase in the liquid flow rate. A linear correlation is found between dP or apparent viscosity and liquid flow rate, which defines it as a governing factor of foam flow and can be considered when modeling foam flow. [ABSTRACT FROM AUTHOR]