Free Version Research Articles

"In the Wild" Video Content as a Special Case of User Generated Content and a System for Its Recognition.

In the five years between 2017 and 2022, IP video traffic tripled, according to Cisco. User-Generated Content (UGC) is mainly responsible for user-generated IP video traffic. The development of widely accessible knowledge and affordable equipment makes it possible to produce UGCs of quality that is practically indistinguishable from professional content, although at the beginning of UGC creation, this content was frequently characterized by amateur acquisition conditions and unprofessional processing. In this research, we focus only on UGC content, whose quality is obviously different from that of professional content. For the purpose of this paper, we refer to "in the wild" as a closely related idea to the general idea of UGC, which is its particular case. Studies on UGC recognition are scarce. According to research in the literature, there are currently no real operational algorithms that distinguish UGC content from other content. In this study, we demonstrate that the XGBoost machine learning algorithm (Extreme Gradient Boosting) can be used to develop a novel objective "in the wild" video content recognition model. The final model is trained and tested using video sequence databases with professional content and "in the wild" content. We have achieved a 0.916 accuracy value for our model. Due to the comparatively high accuracy of the model operation, a free version of its implementation is made accessible to the research community. It is provided via an easy-to-use Python package installable with Pip Installs Packages (pip).

Provider compliance with a tailored opioid prescribing calculator in gynecologic surgery

ObjectiveTo evaluate the impact a tailored opioid prescription calculator has on meeting individual patient opioid needs while avoiding opioid over prescriptions. MethodsOur group previously developed and published an opioid prescribing calculator incorporating patient risk factors (history of depression, anxiety, chronic opioid use, substance abuse disorder, and/or chronic pain) and type of surgery (laparotomy or laparoscopy). This calculator was implemented on 1/1/2021 and its impact on opioid prescriptions was evaluated until 12/31/21. The primary outcome of the present study is to determine prescriber compliance with the calculator (defined as not overprescribing from the number of pills indicated by the calculator). The secondary outcome is to determine the excess prescription rate (defined as proportion of patients reporting more than 3 pills remaining at 30 days post-surgery). Refill rates and pain related patient phone calls were collected. Descriptive statistics were used to summarize the cohort. ResultsOf the 355 patients included, 54.7% (N = 194) underwent laparoscopy and 45.4% (N = 161) underwent laparotomy. One hundred and forty-two patients (40%) had at least one risk factor for opioid usage. The median number of opioid pills prescribed following laparoscopy was 3 (range 0–15) and 6 (0−20) after laparotomy. The prescriber compliance was 88.2% and the excess prescription rate was 25.1% (N = 89 patients). ConclusionsOur tailored opioid calculator has a high prescriber compliance. Implementation of this calculator led to a standardization of tailored opioid prescribing, while limiting the number of over prescriptions. A free web version of the calculator can be easily accessed at www.opioidcalculator.org.

Rex: R-linked EXcel add-in for statistical analysis of medical and bioinformatics data.

Microsoft Excel has substantial functionalities for data management and analyses, and has been the most popular software in this field. However, in spite of Excel's user-friendly interface and functionality for data management, it provides very few functions for in-depth statistical analyses, which has limited its wider application for this purpose. Here, we introduce Rex, an Excel add-in software implementing the powerful analytical and graphical functions of R within Excel. Rex was implemented using three types of programming software: R, JavaScript, and Microsoft VB.Net. Rex provides a graphical user interface (GUI) through Excel, and statistical analysis can be conducted by pointing and clicking the menu without programming R. Rex covers a wide range of analyses from basic statistics to advanced analysis, including structural equation modeling, complex sampling design, and machine learning models, making it possible for researchers not skilled in using a command-line interface to conduct in-depth statistical analyses. Most Rex modules are available in a free version for non-commercial use, and it can be used for educational and public purposes. In this article, we introduce the framework and features of Rex with illustrative examples of its implementation.

Willingness to Pay for a Dating App: Psychological Correlates.

The smartphone dating app, Tinder, has become hugely popular in recent years. Although most people use a free version of the app, some pay for an augmented version to improve their experience. However, there is little evidence of the association between the willingness to pay for a dating app such as Tinder and users' psychological characteristics. This study thus aims to compare Tinder paying versus non-paying users in terms of their pattern of use, excessive use of Tinder, motives for using Tinder, impulsivity traits, depressive mood, and sociodemographic variables, as well as to examine which variables best predict group membership. A total of 1159 Tinder users participated in an online survey. Group comparisons indicated that payers were more frequently male, reported greater motives for using Tinder than non-payers, and differed in their pattern of use compared with non-payers. Impulsivity traits did not significantly differ between the two groups. Being male and reporting greater motives for Tinder use significantly predicted being a payer. These findings provide insights into the processes that stimulate users' greater consumption of online dating apps, such as reinforcement mechanisms and reward sensitivity.

Evolution of the use of social media by the local governments of the Lodzkie voivodship

Purpose: The aim of the article is to present changes in the use and basic advantages of social networks in communication of local government units on the example of cities in the Lodz voivodeship. Design/methodology/approach: The study consisted in analysing the content of the official websites belonging to the local governments of the individual cities of the Łódzkie Voivodeship in order to see how information on the social networks used (location of plug-ins) is made available and a review of active profiles on these sites was carried out in order to diagnose what content is published. The survey was conducted in December 2022. The results were cross referenced with the corresponding survey carried out in 2019 and 2020. Translated with www.DeepL.com/Translator (free version). Findings: The study showed that out of the 44 cities analysed in the Łódzkie Voivodship, 42 use at least one social networking site. The most common is Facebook - 42 cities have a profile, followed by YouTube - 25, Instagram - 14 and Twitter 7. 3 cities have profiles on 4 sites at the same time, 11 have 3 official profiles on different social networking sites, while another 15 cities have 2 and 13 have one each. For 2 cities, no profiles were found on social networks. The content and frequency of publication on the profiles varies. Translated with www.DeepL.com/Translator (free version). Research limitations/implications: The study did not take into consideration social networks which were less popular at the time of writing (e.g. TikTok - among the cities surveyed, only Łódź has an official profile there). The objectives of the communication activities of individual cities are not known. This may be part of further research through in-depth interviews with those responsible for promoting the cities. It is also possible to extend the research to cities of other voivodships and among the target recipients of communication activities in particular sites. Practical implications: On the basis of the author's audit of the communication activity of cities in the Łódzkie Voivodship on social networking sites, this article suggests that the use of social media is an appropriate tactic in cities' communication, both in the external promotional dimension and in communication with citizens due to the participatory, interactive and open nature of social media. Originality/value: The publication presents the results of research carried out on the basis of the author's audit of the activity of the cities of the Lodz voivodship in the social media. Keywords: social media, city marketing, city promotion, marketing communication. Category of the paper: Research paper.

Virtual reality for healthcare: A scoping review of commercially available applications for head-mounted displays.

This scoping review aimed to describe the scope of commercially available virtual reality (VR) healthcare applications for mainstream head-mounted displays (HMD)s. A search was conducted during late April and early May 2022 over five major VR app stores using "health," "healthcare," "medicine," and "medical" as keywords. Apps were screened based on their title and description sections. Metadata collected included: title, description, release date, price (free or paid), multilingual support, VR app store availability, and HMD support. The search yielded 1995 apps, out of which 60 met the inclusion criteria. The analysis showed that the number of healthcare VR apps has been steadily increasing since 2016, but no developer has released more than two apps so far. Most of the reviewed apps can run on HTC Vive, Oculus Quest, and Valve Index. Thirty-four (56.7%) apps had a free version, and 12 (20%) apps were multilingual, i.e., supported languages other than English. The reviewed apps fell into eight major themes: life science education (3D anatomy, physiology and pathology, biochemistry, and genetics); rehabilitation (physical, mental, and phobia therapy); public health training (safety, life-saving skills, and management); medical training (surgical and patient simulators); role-playing as a patient; 3D medical imagery viewing; children's health; and online health communities. Although commercial healthcare VR is still in its early phases, end-users can already access a broad range of healthcare VR apps on mainstream HMDs. Further research is needed to assess the usefulness and usability of existing apps.

Presencias y ausencias paternas. Claves para comprender sus implicaciones emocionales y formativas

This is a book that, within the framework of studies on masculinities and paternities in our country, offers a perspective on a little explored dimension: the implications of the presence and absence of men, as fathers, in the life, daily life and relationships of the diversity of family arrangements that we can currently find. Both the theoretical elaboration that serves as an introduction to the book, as well as the particular studies that comprise it, offer a broad panorama of the ways in which, during the last few years, different social actors that make up family arrangements in our country live, experience, signify and re-signify the presence and absence of men as fathers. Absences due to issues as dissimilar as death, confinement, divorce and time absorbed by their jobs. Finally, these studies offer elements to rethink, theoretically, the emotional experiences and formative processes of people; formative in a broad sense, beyond the school as an institution, located in contexts of informal education, with all the complexity that this entails (Salguero & Yoseff, 2020). Translated with www.DeepL.com/Translator (free version)

Construção de um Índice de Valor de Patentes por meio da medição do valor econômico indireto e tecnológico

Abstract The present research intends to create an index of indirect economic (through patent family size and paid renewals) and technological value (forward citations), in order to identify possible innovations among inventions. The novelty of the research lies on the construction of equations reproducible by any field of knowledge, due to their intelligibility. In addition, it details the different steps to create the search database, which comprises free resources, trial versions and personal effort. After the construction of the index and its application, the patent population was divided into quartiles. Quartile 1 possibly houses innovation patents, as it was found that the value indicators assessed go together and relate to each other. Their behavior was shown to be such that, when one is present, there is a higher chance of the others appearing as well. The logical justification for this is that, if an invention has broad market potential, depositors will also protect the patent outside their own country; the most practical way of doing so is the Patent Cooperation Treaty application. Thus, the higher the number of countries where a patent is published and translated, the more likely it is to be cited. And if by then patents prove somehow profitable for their holders, they will continue to pay for renewals on time. This index is configured as a decision-supporting tool that seeks to rely on qualitative and strategic information.

Вектор Штера: знание в координатах города

The “Stehr vector” is a metaphor associated with the name of the modern philosopher and sociologist of science Niko Stehr and designating the trajectory of movement towards a “knowledge society”, where intellectual achievements as a public good have the highest value – they are priceless and, therefore, are not sold or bought, and access to them is free. Since a number of obstacles are characteristic to the formation of the ascent to the knowledge society, the main one is the usurpation of cognitive resources by digital giants with the help of legal coding tools for intellectual products. Knowledge is expropriated from its creators – scientists – and then sold, thereby further enriching the “knowledge monopolists”. The “Stehr vector”, overcoming such barriers, is aimed at the future, where different forms of social exchange are developing on the model of social communications among representatives of the “creative class” (R. Florida), concentrated in the centers of knowledge – cities with great scientific and educational potential. Since the “city of knowledge” is a cognitive generator, as a result, the ability to think scientifically becomes a property of every person. The article shows that certain analogies are possible between “cities of knowledge” as a “new utopia” developing in the algorithms of the “Stehr vector”, and the first university cities in Medieval Europe, which arose and developed as accumulators of knowledge and university life. These “new Middle Ages” promise to be more intellectually free than modern knowledge capitalism. Thus, the “Stern vector” makes it possible to design not the Berdyaev dystopian version of the “New Middle Ages”, but, on the contrary, more intellectually free version than modern knowledge capitalism.

HealthyTravel.ch - The reference website for traveler's health advice

The Swiss Expert Committee on Travel Medicine (ECTM) - a body of the Swiss Society of Tropical Medicine and Travel Medicine (FMH) - publishes recommendations and information on travel medicine on the website www.healthytravel.ch in four languages (German, French, Italian, English). HealthyTravel.ch, which has replaced Safetravel.ch, is the reference website for travelers' health advice in Switzerland supported by the Federal Office of Public Health (FOPH). It consists of a free version with basic travel medicine recommendations for the public, and a fee-based PRO version for professionals, containing more detailed information and recommendations. This article provides an overview of the available content and tips on how to make the best use of www.healthytravel.ch.

A comparison of multivariate statistical methods to detect risk factors for Type 2 diabetes mellitus

Aim: The goal of this study is to compare the performances of Logistic Regression (LR), Artificial Neural Networks (ANN) and Decision Tree models, which are machine learning classification methods, in the diagnosis of Type 2 Diabetes Mellitus (DM) and to determine the most successful method. It is also the examination of risk factors affecting Type 2 DM using these models. Method: The study's data was collected from patients who visited the Diabetes and Thyroid polyclinic at the Inonu University Faculty of Medicine Turgut Ozal Medical Center, Department of Internal Medicine. The k-Nearest Neighbor algorithm, which is one of the missing value assignment methods, was used to eliminate the problems related to missing values. Sensitivity, accuracy, precision, specificity, AUC F1-score, and classification error were used as performance evaluation criteria. Evolutionary algorithm parameter optimization method was used to optimize the parameters of the ANN model. Missing value assignment, modeling and parameter optimization were done with Rapidminer Studio Free version 8.1. Results: Among the three methods applied in the diagnosis of Type 2 DM, the ANN gave the best classification performance. The accuracy, sensitivity, selectivity, precision, F1-score, AUC and classification error values obtained from this method are respectively; 98.94%, 100%, 97.73%, 98.04%, 99.01%, 0.978 and 1.06. For the ANN method, the importance values of the gender, long-term drug use, family history, concomitant disease, cortisone use, stress factor, high blood pressure, smoking, high cholesterol, heart disease, exercise status, carbohydrate use, alcohol consumption, vegetable use, meat use, age, weight, height, starting age, daily bread consumption, LDL, HDL, Total Cholesterol, Triglyceride, Fasting blood sugar the importance values of independent variables are respectively; 0.017, 0.009, 0.013, 0.017, 0.008, 0.016, 0.008, 0.006, 0.053, 0.024, 0.023, 0.040, 0.007, 0.020, 0.007, 0.046, 0.083, 0.049, 0.024, 0.066, 0.084, 0.083, 0.020, 0.031, 0.244. Conclusion: According to the performance criteria obtained from the three classification models used to predict Type 2 DM; it has been found that the best classification performance belongs to the ANN model. According to the ANN method, the three most important risk factors that may cause Type 2 DM were found to be fasting blood glucose, LDL, and HDL, respectively.

Simulation and Study of a Triangular Microstrip Patch Antenna

This study considers the simulation and study of a probe fed triangular microstrip patch antenna developed on a FR4 type substrate. The antenna design is first simulated using Sonnet Lite™ electromagnetic (EM) analysis software. Sonnet Lite™ is memory limited free version of commercial Sonnet™ electromagnetic analysis tool. It is based on method of moments technique to solve electromagnetic boundary value problem. The simulation predicted antenna resonant frequency to be 2360 MHz, Return Loss bandwidth of 36 MHz and input impedance of 52.72 Ohm. The antenna is then studied for its return loss (RL), voltage standing wave ratio (VSWR) and impedance (ZIn1) to determine its resonant frequency. The antenna resonant frequency is found to be 2380 MHz and its return loss bandwidth to be 60 MHz. The antenna radiation pattern is then measured at 2380 MHz. The RL, VSWR and ZIn1 of antenna predicated by Sonnet Lite™ are compared with their measurements which show a good agreement.

IMPLEMENTATION OF THE CRM SYSTEM AT THE ENTERPRISE

Working with clients is an integral part of the company’s activities. In today’s world, competition has increased on the market due to an increase in the number of goods and services. As a result, it is more difficult for businesses to find and retain customers. CRM systems make it possible to build relationships with customers more effectively, which helps to improve the level of their service. This makes enterprises more competitive, i.e. gives them some competitive advantages. The result is an increase in the number of customers and an increase in profits, which is the goal of most modern enterprises. Despite the existing benefits of using CRM systems to increase business efficiency, there is still no widespread adoption of such systems in the country. Solving such a problem is possible through comprehensive popularization of such systems for business. It is believed that developers and distributors should become more active in promoting their own product on the market by offering free demo versions, preferential periods for the use of systems, retaining existing customers with offers to reduce fees for use, introducing bonuses, loyalty programs, etc. The market of CRM products in Ukraine is saturated enough for, depending on the industry and tasks, to choose the best option regarding the price and functionality of the purchased system in order to achieve maximum efficiency in managing relations with clients Regarding the assessment of the effectiveness of the implementation of CRM systems, it is worth applying a statistical method, which can be used to determine the economic effect, taking into account the average positive results of the implementation of information systems at enterprises of a similar industry. CRM systems provide an opportunity to automate not only the process of relations with customers, but also other processes carried out at the enterprise (relationships with personnel, some aspects of management, accounting, control, analysis). This significantly increases labor productivity at the enterprise, allows you to reduce costs and, as a result, increase profits.

Determining Lung Volume Capacities of Active Bouldering Sport Athletes

Aim: This study sought answers to the problem of whether the lung respiratory volume capacities of boulder sport climber athletes are completely different by gender, or if there is a difference only in some parameters. The study was carried out with 12 male and 13 female athletes competing in the youth boulder sports climbing Turkish championships. Athletes with a training history of more than two years were included in the study with a preliminary evaluation of their training histories and physical characteristics. Demographic information such as the age and gender of the athletes were recorded, and their height, weight, and BMI (body mass index) levels were determined to form a homogeneous group. Athletes with physically similar characteristics were included in the study. The lung breathing capacities of the boulder sport climbers were measured using the MIR Spirolab 4 spirometer device. These measurements were conducted at least three times on each athlete, and their best values were recorded. During the spirometry measurements, the athletes were seated and dressed in comfortable clothing. Additionally, spring nose clips were attached to the athletes' noses to prevent air leakage. At the time of the measurements, the air temperature was in the range of 18-22 °C and humidity was 30-60%. The data obtained were analyzed in the SPSS 22.0 package software, and a free seven-day trial version of GraphPad Prism 8 was used for presenting the figures. To determine the normality of the data, the Kolmogorov Smirnov test, histogram charts, skewness and kurtosis, q-q plot, and stem-leaf plots were examined, and the distribution was observed to be normal. Independent samples t-test was used to determine the difference between the two groups. The level of significance was considered as p

Розвиток інформаційного забезпечення системи менеджменту вітчизняних підприємств

The study is aimed at researching ways to improve the information support of the management system using software. The authors determined that automation allows to reduce the time required to perform basic management functions, it is used for calculations and analysis, design, quality control, planning of all operational processes, hiring and accounting of employees, etc. An information system is a combination of technical, software and organizational support, as well as personnel, designed to provide the right people with the right information in a timely manner. To implement the automation system, you need functional software such as an OPS server, a control system service, a database server, a recipe editor, and SCADA. It has been proven that a modern automated management system should combine the maximum possible set of functions for managing all business processes of the enterprise. We determined that for the effective functioning of enterprise services, the following requirements are placed on the quality of information: сomplexity (the information should reflect all aspects of the service in relation to external conditions), promptness (receiving input information must occur simultaneously with the course of the process in the management system or coincide with the moment of its completion), systematicity (the necessary information should be provided as continuously as possible), reliability (information should be formed in the course of fairly accurate measurements). To improve the management information system in the organization, it was proposed to use such programs as AnyLogic, Aris, Business Studio, MS Visio. Their functionality was compared and the best system for automating the management system was determined. It was determined that, in our opinion, the software product Business Studio is the priority as a software tool in the direction of service support, because from the user's point of view it meets the necessary requirements. The advantages of this product are a free demo version, available reference materials and the availability of example models.

A Rapid and Simple Method for Purification of Nucleic Acids on Porous Membranes: Simulation vs. Experiment.

Paper-based microfluidic systems have emerged as one of the most promising technologies for developing point-of-care diagnostic platforms (POCT) for detecting and monitoring various diseases. Saliva is a non-invasive biofluid easily collected, transported, and stored. Due to its accessibility and connection to systemic diseases, saliva is one of the best candidates for medical advancement at the point of care, where people can easily monitor their health. However, saliva is a complex mixture of DNA, RNA, proteins, exosomes, and electrolytes. Thus, nucleic acid separation from the salivary components is essential for PCR applications. Paper membranes are a highly porous and foldable structure capable of transporting fluids without pumps and sophisticated systems. The current work presents an insight into simulations for nucleic acid extraction on three types of porous paper membranes for use in point-of-care devices. The flow fluid model is solved on a COMSOL Multiphysics 5.3 free version platform, and the results are compared with experimental assays. The results show that pore uniformity, wet strength, porosity, and functional groups of MF1™ and Fusion 5™ paper membranes are vital parameters affecting nucleic acid extraction and PCR amplification efficiency.

The Relationship Between Leisure Satisfaction and Life Satisfaction: A Meta-analysis Study of Years 1999-2019

Studies which focused on relations between the perception of leisure and well-being concepts are observed frequently in literature. Studies that measure the relationship between “life satisfaction” and “leisure satisfaction” concepts are prominent within these studies. The aim of this study was to get a cumulative result by integrating the findings of the studies examining the same concepts through meta-analysis. For this purpose, academic studies published between 1999 and 2019 were screened and included from several databases. As a result, 21 studies were found fulfilling the inclusion criterion, set by the researchers, in order to retrieve studies presenting a correlation coefficient between variables “life satisfaction” and “leisure satisfaction”. This search resulted with a sample size of 83,632. The overall sample consisted of women, disabled individuals, residents of a defined district, university students, immigrants, and adults from various countries. Studies were analyzed by the free trial version of Comprehensive Meta-Analysis Software 2.0 (CMA 2.0). Findings indicated that leisure satisfaction and life satisfaction showed a positive relationship with a medium level of effect size. Future researchers who will address these concepts in their studies would benefit from conducting moderating analyses to explore how concepts in issue vary depending on the characteristics of the study, such as the sample characteristics.

MOBILE PHONE RECOMMENDER USING MULTI CRITERIA DECISION MAKING ALGORITHM

A study found that the depression rate is growing at an alarming rate among everyone. Many people who report symptoms of depression mostly have not been diagnosed or underwent treatments for it. If they do not get proper treatments like medication, therapy, guidance or counselling, it would be difficult for them to lead a happy and stress-free lifestyle. India is already on the cusp of a health crisis, and we urgently require a long-term solution to the problem of depression. People are more inclined to open it up to a smart machine than to a human, according to a recent study. Digital interfaces are gaining traction as feasible options for closing the gap and making mental diagnosis and treatment more accessible and inexpensive to everybody. The aim of the project is to develop a chatbot called Therapy Bot using sentiment analysis and cognitive behavioral therapy to predict the mental health status of an individual. Moreover, the chatbot can serve as a good companion to the affected by communicating with friendly manner and help them recover. The chatbot will personalize its responses based on the user's answer to keep the conversation interesting. The chatbots can be used as a complement to treatment or as a kind of interim support while waiting for an appointment. The benefit of such a method is that, rather than reaching a point where a trip to a psychologist is required, an online free version will reach a large number of people, mitigate the negative effects of depression, and contribute to a better of society.

Spillover Effects and Freemium Strategy in the Mobile App Market

“Freemium,” whereby a basic service level is provided free of charge but consumers are charged for more advanced features, has become a popular business model for firms selling digital goods. However, it is not clear whether the launch of a free version helps or hurts the demand of an existing paid version. The free version may allow consumers to sample the product before making a purchase decision and subsequently increase demand of the paid version, but it may also cannibalize demand of the paid version. We use a comprehensive data set on game apps from Apple’s App Store that tracks the launch of both the paid and the free versions of individual apps on a daily level to identify whether a freemium strategy stimulates or hurts demand of an existing paid version. We estimate the spillover effects between the free version and the paid version of the same app under a difference-in-difference framework, relying on the fact that app developers cannot predict the exact launch date of the free version of the app due to Apple’s review and approval of apps prior to release and accounting for app-level product heterogeneity. We find that the launch of a free version increases demand of the paid version of the same app. Under the main specification, if the daily number of ratings before the free version’s launch is at the mean, then all else equal, the launch of the free version leads to an 8.9% increase in the daily number of ratings. We then describe multiple robustness checks. Finally, we present evidence that the results are driven by consumers sampling the free version as well as enhanced app discovery and explore the relative importance of the two mechanisms. This paper was accepted by Matthew Shum, marketing. Supplemental Material: The data files and online appendices are available at https://doi.org/10.1287/mnsc.2022.4619 .

Preferred conformations of osmium cluster in terms of electron density

In this article, we propose to use AlteQ quantum free orbital method to determine preferred conformers of osmium-containing complexes. The study is based on the conformational analysis of a triosmium cluster with a morpholine fragment [(μ-H)(μ-Cl)Os3{η1-C(CH3)N(CH2CH2)2O}(CO)9]. 3D electron density maps were computed for each conformer of the cluster along with its environment in the crystal. The “cluster-environment” complementarity was assessed for each conformer based on the determination of relationships between the parameters of the electronic structures, which in turn are determined by the nature of intermolecular interactions. Free versions of the AlteQ for Windows and Linux are available at https://www.chemosophia.com.