Single App Research Articles

Enhancing Library Engagement: Designing a Mobile Application for Dr. GRD Memorial Library Using Jotform and Chatbase

Mobile applications are software applications developed for small and wireless computing devices such as smartphones and tablets, rather than desktops or laptops. With advancements in networking technologies, mobile applications are increasingly utilized in the field of education, particularly in libraries, to engage more users. They are predominantly preferred for providing library services such as accessing e-resources like e-books, e-journals, e-newspapers, e-patents, etc. Additionally, these applications provide users with access at any time, from anywhere, and help save time. This paper briefly explains the design of a mobile application for Dr. GRD Memorial Library, the main library of PSG College of Technology, using Jotform, a free, no-code app builder that allows sharing multiple forms, links, and other elements in a single app that works on any device. To enhance interactivity, a chatbot is also incorporated using an AI chatbot builder, Chatbase, primarily utilized for adding chat widgets in mobile applications.

Enhancing Library Engagement: Designing a Mobile Application for Dr. GRD Memorial Library Using Jotform and Chatbase

Mobile applications are software applications developed for small and wireless computing devices such as smartphones and tablets, rather than desktops or laptops. With advancements in networking technologies, mobile applications are increasingly utilized in the field of education, particularly in libraries, to engage more users. They are predominantly preferred for providing library services such as accessing e-resources like e-books, e-journals, e-newspapers, e-patents, etc. Additionally, these applications provide users with access at any time, from anywhere, and help save time. This paper briefly explains the design of a mobile application for Dr. GRD Memorial Library, the main library of PSG College of Technology, using Jotform, a free, no-code app builder that allows sharing multiple forms, links, and other elements in a single app that works on any device. To enhance interactivity, a chatbot is also incorporated using an AI chatbot builder, Chatbase, primarily utilized for adding chat widgets in mobile applications.

Functionality and Quality of Asthma mHealth Apps and Their Consistency With International Guidelines: Structured Search and Evaluation.

Asthma is a chronic respiratory disorder requiring long-term pharmacotherapy and judicious patient self-management. Few studies have systematically evaluated asthma mobile health (mHealth) apps for quality and functionality; however, none have systematically assessed these apps for their content alignment with international best practice guidelines. This review aims to conduct a systematic search and evaluation of current mHealth apps in the Australian marketplace for their functionality, quality, and consistency with best practice guidelines. The most recent Global Initiative for Asthma (GINA) guidelines were reviewed to identify key recommendations that could be feasibly incorporated into an mHealth app. We developed a checklist based on these recommendations and a modified version of a previously developed framework. App stores were reviewed to identify potential mHealth apps based on predefined criteria. Evaluation of suitable apps included the assessment of technical information, an app quality assessment using the validated Mobile App Rating Scale (MARS) framework, and an app functionality assessment using the Intercontinental Medical Statistics Institute for Health Informatics (IMS) Functionality Scoring System. Finally, the mHealth apps were assessed for their content alignment with the GINA guidelines using the checklist we developed. Of the 422 apps initially identified, 53 were suitable for further analysis based on inclusion and exclusion criteria. The mean number of behavioral change techniques for a single app was 3.26 (SD 2.27). The mean MARS score for all the reviewed apps was 3.05 (SD 0.54). Of 53 apps, 27 (51%) achieved a total MARS score of ≥3. On average, the reviewed apps achieved 5.1 (SD 2.79) functionalities on the 11-point IMS functionality scale. The median number of functionalities identified was 5 (IQR 2-7). Overall, 10 (22%) of the 45 apps with reviewer consensus in this domain provided general knowledge regarding asthma. Of 53 apps, skill training in peak flow meters, inhaler devices, recognizing or responding to exacerbations, and nonpharmacological asthma management were identified in 8 (17%), 12 (25%), 11 (28%), and 14 (31%) apps, respectively; 19 (37%) apps could track or record "asthma symptoms," which was the most commonly recorded metric. The most frequently identified prompt was for taking preventive medications, available in 9 (20%) apps. Five (10%) apps provided an area for patients to store or enter their asthma action plan. This study used a unique checklist developed based on the GINA guidelines to evaluate the content alignment of asthma apps. Good-quality asthma apps aligned with international best practice asthma guidelines are lacking. Future app development should target the currently lacking key features identified in this study, including the use of asthma action plans and the deployment of behavioral change techniques to engage and re-engage with users. This study has implications for clinicians navigating the ever-expanding mHealth app market for chronic diseases. PROSPERO CRD42021269894; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=269894. RR2-10.2196/33103.

Flame retardant, mechanical, and hot air aging properties of ethylene‐propylene‐diene monomer/ammonium polyphosphate/nano‐silic composite rubber

AbstractIn this work, effect of the ratio of nonhalogenated flame retardants (ammonium polyphosphate [APP] and nano‐silica [nano‐SiO2]) on the mechanical, thermal, and flame retardant properties of ethylene‐propylene‐diene monomer (EPDM) composite rubber were investigated. Vulcanization characteristics, high temperature compression permanent deformation, thermal oxygen aging, dynamic thermodynamic analysis, thermal stability, cone calorimetry, limiting oxygen index (LOI), horizontal vertical combustion (UL‐94), and scanning electron microscopy were carried out. The experimental results showed that the mechanical properties of the composite rubber decreased with the addition of APP. However, the addition of nano‐SiO2 was found to significantly improve the mechanical properties of the composite rubber when it was incorporated. In terms of flame retardant properties of EPDM composite rubber, the combination of APP and nano‐SiO2 has a synergistic flame retardant effect in comparison to the use of single APP flame retardant. The heat release rate of EPDM composite rubber decreased by 34%, the total heat release decreased by 19%, the LOI increased by 76%, and the flame retardant grade of EPDM composite rubber reached V‐0. The EPDM composite rubber fabricated in the present study showed excellent fire resistance and desirable mechanical properties, which are of practical significance for further expanding the application ranges of EPDM rubbers.

Fostering the Adoption and Use of Super App Technology

Super application (super app) is a technology that integrates different functionalities for users to access various services in one umbrella app. In recent years, mobile users have become interested in accessing several services by installing a single app while the super app technology is a new business model and has not yet been fully utilized. Therefore, it is essential to identify the motives affecting the adoption and use of super app as a disruptive technology that requires nonsuper apps to reform. In this regard, this research scrutinizes the impact of three main motives: 1) hedonic benefit, 2) utilitarian benefits, and 3) social benefit on the adoption and use of super app technology. We considered user satisfaction and engagement in adopting super apps as mediators. To address this point, this study integrates the technology acceptance model and Social Construction of Technology theory to develop a theoretical background. The results illustrate that quality positively affects the adoption of super app only through satisfaction while social benefit positively affects super app adoption through engagement.

Nationwide research on the uses and motivations of dating apps by young adults in the cultural environment of Turkey

Since Tinder's worldwide popularity, location-based dating apps have become widespread. The existing literature mainly focuses on a single app in European and US contexts and pays little attention to other cultural contexts. This paper addresses this gap by examining dating app choices and motivations of young adults (18–29 years old) in Turkey. It examines the intersectionality of socio-demographic variables in a cultural setting that is quite different not only from European and US contexts but also from other Muslim-majority contexts. Deriving from the nationally representative survey ( n = 1,498), our research finds statistically significant differences in dating app preferences and adults’ motivations regarding location, sexual, gender, and religious identities. This study underlines the crucial role of cultural geography and its social fabric in mobile dating, even within the same national setting .

Mistranslation-associated perturbations of proteostasis do not promote accumulation of amyloid beta and plaque deposition in aged mouse brain

A common perception in age-related neurodegenerative diseases posits that a decline in proteostasis is key to the accumulation of neuropathogenic proteins, such as amyloid beta (Aβ), and the development of sporadic Alzheimer’s disease (AD). To experimentally challenge the role of protein homeostasis in the accumulation of Alzheimer’s associated protein Aβ and levels of associated Tau phosphorylation, we disturbed proteostasis in single APP knock-in mouse models of AD building upon Rps9 D95N, a recently identified mammalian ram mutation which confers heightened levels of error-prone translation together with an increased propensity for random protein aggregation and which is associated with accelerated aging. We crossed the Rps9 D95N mutation into knock-in mice expressing humanized Aβ with different combinations of pathogenic mutations (wild-type, NL, NL-F, NL-G-F) causing a stepwise and quantifiable allele-dependent increase in the development of Aβ accumulation, levels of phosphorylated Tau, and neuropathology. Surprisingly, the misfolding-prone environment of the Rps9 D95N ram mutation did not affect Aβ accumulation and plaque formation, nor the level of phosphorylated Tau in any of the humanized APP knock-in lines. Our findings indicate that a misfolding-prone environment induced by error-prone translation with its inherent perturbations in protein homeostasis has little impact on the accumulation of pathogenic Aβ, plaque formation and associated phosphorylated Tau.

Optimal instant discounts of multiple ride options at a ride-hailing aggregator

Recently, ride-hailing aggregators have emerged to help passengers find the best ride options. It aggregates the results from different service providers, allowing sorting and filtering all in a single app. It is not unusual for an aggregator to offer instant discounts on the prices returned from the service providers to increase its Gross Transaction Value (GTV) or Total Transaction Volume (TTV). In this research, we study this optimal instant discount problem, which can be viewed as a new variant of the classical multi-product price optimization problem. We first use the Nested Logit model to predict the probability a passenger would complete the trip with each ride option. We then formulate the instant discount problem as a nonlinear optimization model with a budget constraint and a group of discount bound constraints. To solve this model, we construct a surrogate relaxation formulation with strong duality. We develop a Lagrangian-dual-based approach to decompose this problem into a series of subproblems, and then design heuristic methods to give feasible solutions. For both cases when the GTV or the TTV is maximized, we quantify the optimality gap, give its asymptotic properties, and establish conditions under which it becomes zero and tight. Finally, we use real data from Meituan, a leading ride-hailing aggregator in China, to validate the proposed approach. Results show that compared to the baseline methods, we can improve the GTV by 1.293%, improve the TTV by 0.475%, and decrease the magnitude of the optimality gap.

Fastesy Instant Delivery Application

Android app development can help a firm reach out to new customers, increase revenue, and generate a following of devoted clients. The project's goal is to create a single app that offers a variety of services to the user. It will partner with other retailers. For all products offered in the app, there won't be any involvement from a third party seller in the process. Customers will have direct access to the goods manufacturers. As a result, the end user will find the solution to be affordable. The main goal of this project is to provide the user with a straightforward yet effective solution that will enable them to quickly and effectively meet their demands with the best product the manufacturer has to offer.

Telemedicine in Otorhinolaryngology – A Covid induced opportunity?

Introduction The importance of telemedicine became apparent during the height of the pandemic when there was a large discrepancy between the need for patient care and health service provision. In this article we describe a single ENT care provider experience of delivering otolaryngology care using a single app (oDocTM) from November 2020 to September 2021 (11 months) Methods In this cross-sectional retrospective audit details about the consultations were collected using the prescriptions from November 2020 to September 2021. Prescriptions were collected from the ‘oDoc’ application database after removing patient identifiable details for privacy reasons. Data was extracted regarding demographics, clinical features and prescription details. Data was analyzed using Google Sheets and Microsoft excel. Results The total number of patients analyzed was 294. Ear related symptoms were the most common standing at 38% followed by throat related symptoms at 31%. 85% of patients surveyed presented with an acute problem. Those presenting with predominantly neck related symptoms needed biochemical related investigations 50% of the time and also needed radiological investigations 83% of the time. Those who presented with ear and throat related symptoms had the lowest requirement for follow-up standing at 36.73% and 38.46% respectively. Conclusions Consultations are more effective in ear related presentations and are least effective in neck related presentations. Overall physician need for follow-up consultations is less than 50% contributing to a decrease in load to OPD and ETU admissions. Topical ototoxic antibiotic prescription is less in telemedicine. It can be successfully used to treat acute presentations with a high degree of caution.

Investigating end-users’ values in agriculture mobile applications development: An empirical study on Bangladeshi female farmers

The omnipresent nature of mobile applications (apps) in all aspects of daily lives raises the necessity of reflecting end-users’ values (e.g., fairness, honesty, social recognition, etc.) in apps. However, there are limited considerations of end-users’ values in apps development. Value violations by apps have been reported in the media and are responsible for end-users’ dissatisfaction and negative socio-economic consequences. Value violations may bring more severe and lasting problems for marginalized and vulnerable end-users of apps, which have been explored less (if at all) in the software engineering community. One of the main reasons behind value violations is the lack of understanding of human values due to their ill-defined, ambiguous, and implicit nature. Furthermore, addressing all the values of the end-users in a single app might cause dissatisfaction for some of the end-users if they have different values. Therefore, it is essential to identify if there are different groups of end-users of apps who share similar values and develop different sets of apps design strategies accordingly, which is the essential first step towards values-based apps development. This research aims to fill this gap by investigating different groups of Bangladeshi female farmers as a marginalized and vulnerable group of end-users of Bangladeshi agriculture apps based on their values. We conducted an empirical study that collected and analyzed data from a survey with 193 Bangladeshi female farmers to explore the underlying factor structure of Bangladeshi female farmers’ values and the significance of demographics on their values. The results identified three underlying factors of Bangladeshi female farmers. The first factor comprises of five values: benevolence, security, conformity, universalism, and tradition. The second factor consists of two values: self-direction and stimulation. The third factor includes three values: power, achievement, and hedonism. We also identified strong influences of demographics on some of the values of Bangladeshi female farmers. For example, area has significant impacts on three values: hedonism, achievement, and tradition. Similarly, there are also strong influences of household income on power and security. The results provide a direction for Bangladeshi agriculture app developers to develop different sets of apps design strategies for different groups of Bangladeshi female farmers based on their values.

Characterization and Prediction of Mobile Tasks

Mobile devices have become an increasingly ubiquitous part of our everyday life. We use mobile services to perform a broad range of tasks (e.g., booking travel or conducting remote office work), leading to often lengthy interactions with several distinct apps and services. Existing mobile systems handle mostly simple user needs, where a single app is taken as the unit of interaction. To understand users’ expectations and to provide context-aware services, it is important to model users’ interactions with their performed task in mind. To provide a comprehensive picture of common mobile tasks, we first conduct a small-scale user study to understand annotated mobile tasks in-depth, while we demonstrate that by using a set of features (temporal, similarity, and log sequence), we can identify if a pair of app usage belong to the same task effectively. Secondly, the proposed best task detection model is applied to a large-scale data set of commercial mobile app usage logs to infer characteristics of complex (multi-app) mobile tasks in the wild. By applying an unsupervised learning framework, we discover common mobile task types that span multiple apps based on various extracted characteristics. We observe that users generally perform 17 common tasks with 47 sub-tasks, ranging from “social media browsing” to “dining out” and “family entertainments”. Finally, we demonstrate that we can predict the next complex mobile task that users are likely to perform by leveraging features from the historically inferred mobile tasks and user contexts. Our work facilitates an in-depth understanding of mobile tasks at scale, enabling applications for promoting task-aware services.

Experiences of health tracking in mobile apps for multiple sclerosis: A qualitative content analysis of user reviews.

Mobile health applications (apps) are promising condition self-management tools for people living with multiple sclerosis (MS). However, most existing apps do not include health tracking features. This gap has been raised as a priority research topic, but the development of new self-management apps will require designers to understand the context and needs of those living with MS. Our aim was to conduct a content analysis of publicly available user reviews of existing MS self-management apps to understand desired features and guide the design of future apps. We systematically reviewed MS self-management apps which were publicly available in English on the Google Play and iOS app stores. We then conducted sentiment and content analysis of recent user reviews which referenced health tracking and data visualization to understand self-reported experiences and feedback. Searches identified 75 unique apps, of which six met eligibility criteria and had reviews. One hundred and thirty-seven user reviews of these apps were eligible, though most were associated with a single app (n=108). Overall, ratings and sentiment scores skewed highly positive (Median [IQR]: Ratings - 5 [4-5], Sentiment scores - 0.70 [0.44-0.86]), though scores of individual apps varied. Content analysis revealed five themes: reasons for app usage, simple user experience, customization and flexibility, feature requests, and technical issues. Reviewers suggested that app customization, interconnectivity, and consolidated access to desired features should be considered in the design of future apps. User ratings weakly correlated with review sentiment scores (ρ=0.27 [0.11-0.42]). Self-tracking options in MS apps are currently limited, though the apps that offer these functions are considered useful by individuals with MS. Additional qualitative research is required to understand how specific app features and opportunities for personalization should be incorporated into new self-management tools for this population.

Evaluation criteria for health apps supporting medication adherence in early-stage technology development - a scoping review.

Health apps offer an approach to improve the patients' management of their medication. Although the Digital Healthcare Act (DVG) has created a claim in the statutory health insurance (SHI), the large number of health apps available and their varying quality make it difficult for service providers and especially for medical laypersons to select an adequate high-quality medication app. Manufacturers need guidance for the development of high-quality apps right from the start. Various general evaluation concepts for health apps have been available to date. However, the requirements that should be met by healthcare depend largely on the field of application and the type of apps. This article aims to provide an overview of the international evidence on specific criteria for the evaluation of medication apps. Within the framework of a scoping review, a systematic search was conducted in PubMed and EMBASE on January 29, 2020. The search was limited to publications from 2007 onwards as well as to English and German articles. Additionally, a semi-systematic research of reference lists of the previously included articles as well as a structured search of websites of relevant stakeholders were conducted. Inclusion criteria were the following: the publication deals with health apps that can be used on smartphones and focus on supporting medication intake; the publication does not refer to evaluation criteria for a single app exclusively. The included publications were examined in a qualitative content analysis searching for evaluation criteria and categorizing them according to the framework criteria of the DVG and the Digital Health Applications Ordinance (DiGAV). 2,542 articles were identified in the systematic search (999 in PubMed, 1,543 in EMBASE, 560 duplicates). A total of 16 studies met the inclusion criteria. The semi-systematic research and the structured search identified one further study. A catalog of criteria was developed based on the included 17 studies. This catalog covers the general topics "patient orientation" (data protection and security, consumer protection, user friendliness) and "quality/core functions of medication apps" (reminder, self-monitoring, (drug) information, motivation to change behavior, drug/patient safety, robustness) as well as "interoperability/cooperation". Due to its specific importance for medication apps, the subcategory "motivation for behavioral change" stands out beneath the general topic "quality/core functions of medication apps". This category aims to evaluate the design of individual functions with regard to their potential to actually change the behavior of app users. The criteria for the evaluation of health apps mentioned in the DiGAV intersected with the criteria identified in the literature research. However, the area of positive health care effects was hardly covered by the included studies. In the development of the criteria catalog, it was not possible to weight the identified criteria. Therefore, the catalog should be understood as a supporting checklist for service providers, manufacturers, and/or users. A large variety of possible evaluation criteria for medication apps could be shown. Future research should focus on the possibilities of weighting these diverse evaluation criteria, using not only clinical studies but also methods to identify preferences.

Improving pediatric COVID-19 vaccine uptake using an mHealth tool (MoVeUp): study protocol for a randomized, controlled trial

BackgroundCoronavirus disease 2019 (COVID-19) vaccines demonstrate excellent effectiveness against infection, severe disease, and death. However, pediatric COVID-19 vaccination rates lag among individuals from rural and other medically underserved communities. The research objective of the current protocol is to determine the effectiveness of a vaccine communication mobile health (mHealth) application (app) on parental decisions to vaccinate their children against COVID-19.MethodsCustodial parents/caregivers with ≥ 1 child eligible for COVID-19 vaccination who have not yet received the vaccine will be randomized to download one of two mHealth apps. The intervention app will address logistical and motivational barriers to pediatric COVID-19 vaccination. Participants will receive eight weekly push notifications followed by two monthly push notifications (cues to action) regarding vaccinating their child. Through branching logic, users will access customized content based on their locality, degree of rurality-urbanicity, primary language (English/Spanish), race/ethnicity, and child’s age to address COVID-19 vaccine knowledge and confidence gaps. The control app will provide push notifications and information on general pediatric health and infection prevention and mitigation strategies based on recommendations from the American Academy of Pediatrics (AAP) and the Centers for Disease Control and Prevention (CDC). The primary outcome is the proportion of children who complete COVID-19 vaccination series. Secondary outcomes include the proportion of children who receive ≥ 1 dose of COVID-19 vaccine and changes in parent/caregiver scores from baseline to immediately post-intervention on the modified WHO SAGE Vaccine Hesitancy Scale adapted for the COVID-19 vaccine.DiscussionThe COVID-19 pandemic inflicts disproportionate harm on individuals from underserved communities, including those in rural settings. Maximizing vaccine uptake in these communities will decrease infection rates, severe illness, and death. Given that most US families from these communities use smart phones, mHealth interventions hold the promise of broad uptake. Bundling multiple mHealth vaccine uptake interventions into a single app may maximize the impact of deploying such a tool to increase COVID-19 vaccination. The new knowledge to be gained from this study will directly inform future efforts to increase COVID-19 vaccination rates across diverse settings and provide an evidentiary base for app-based vaccine communication tools that can be adapted to future vaccine-deployment efforts.Clinical trials registrationClinicalTrials.gov NCT05386355. Registered on May 23, 2022.

A Comparative Overview of Digital Health Applications between Belgium and Germany

Abstract The increasing use of mobile digital technologies in our daily life is also affecting the healthcare sector. Digital health applications have the potential to improve disease monitoring and management, avoid hospitalizations, and more. A main task for the health care system is to create a framework that facilitates the identification of safe and effective apps for health care professionals and patients to generate the most health benefit as well as guide payer coverage decisions. Currently some European countries have already developed a national framework for market access approval, nevertheless only Belgium and Germany have additionally created a reimbursement system. The aim of this investigation is to compare the two different approaches of Belgium and Germany, based on the framework itself, the access requirements, and the experience so far. The overall approach seems to be similar, but scrutinizing the details, there are several significant differences. The evaluation procedure in Belgium consists of a 3-level validation pyramid while in Germany there is a normal procedure as well as a DiGA-Fast- Track. Only applications in stage 3 are reimbursable in Belgium whereas in Germany applications from provisional and permanent listing are reimbursable. The comparative overview shows that the two forerunners, Belgium, and Germany, use similar but not identical approaches, with partly relevant differences such as the evaluation procedure reimbursement and the formulation of the target group. The current situation (status 11.04.22) shows that the focus of the app indications differs between both countries. Furthermore, not a single app is listed in Belgium and Germany at the same time. From our perspective it should be a goal for manufacturers of CE marked medical devices to achieve reimbursement in as many member states as possible.

EP10.01-017 Use of Lalaby in Lung Cancer Patients to Trace Performance from Phone Sensors and Reported Outcomes Involving Quality of Life

Non-small cell lung cancer (NSCLC) constitutes a healthcare problem because of its incidence, mortality, and the burden of symptoms that it produces. Therefore, treatment goals include symptom control and maintenance of quality of life (QoL). However, QoL is not fully evaluated in clinical practice. The higher acceptance of wearables technology enables to automatically monitor health parameters. Sensors from smartphones allow continuous quantification of parameters regarding QoL along with patient reported outcomes measures (PROMs) using a single app.

Hippocampal neural circuit connectivity alterations in an Alzheimer's disease mouse model revealed by monosynaptic rabies virus tracing

Alzheimer's disease (AD) is a progressive neurodegenerative disorder with growing major health impacts, particularly in countries with aging populations. The examination of neural circuit mechanisms in AD mouse models is a recent focus for identifying new AD treatment strategies. We hypothesize that age-progressive changes of both long-range and local hippocampal neural circuit connectivity occur in AD. Recent advancements in viral-genetic technologies provide new opportunities for semi-quantitative mapping of cell-type-specific neural circuit connections in AD mouse models. We applied a recently developed monosynaptic rabies tracing method to hippocampal neural circuit mapping studies in AD model mice to determine how local and global circuit connectivity to hippocampal CA1 excitatory neurons may be altered in the single APP knock-in (APP-KI) AD mouse model. To determine age-related AD progression, we measured circuit connectivity in age-matched littermate control and AD model mice at two different ages (3–4 vs. 10–11 months old). We quantitatively mapped the connectivity strengths of neural circuit inputs to hippocampal CA1 excitatory neurons from brain regions including hippocampal subregions, medial septum, subiculum and entorhinal cortex, comparing different age groups and genotypes. We focused on hippocampal CA1 because of its clear relationship with learning and memory and that the hippocampal formation shows clear neuropathological changes in human AD. Our results reveal alterations in circuit connectivity of hippocampal CA1 in AD model mice. Overall, we find weaker extrinsic CA1 input connectivity strengths in AD model mice compared with control mice, including sex differences of reduced subiculum to CA1 inputs in aged female AD mice compared with aged male AD mice. Unexpectedly, we find a connectivity pattern shift with an increased proportion of inputs from the CA3 region to CA1 excitatory neurons when comparing young and old AD model mice, as well as old wild-type mice and old AD model mice. These unexpected shifts in CA3-CA1 input proportions in this AD mouse model suggest the possibility that compensatory circuit increases may occur in response to connectivity losses in other parts of the hippocampal circuits. We expect that this work provides new insights into the neural circuit mechanisms of AD pathogenesis.

Network of Games: An Ecology of Games Informing Integral and Inclusive City Developments

This article analyzes possibilities for connecting individual city games for building a network of games working together. City gaming works along with the understanding that cities are self-organizing systems, influenced by multiple bottom-up and top-down actors with varying interests and powers. Affordable housing, climate adaptation, or area development are examples of urgent urban challenges city games typically focus on. The assumption is that if these specialized games could be linked, then a large game infrastructure built as a modular system, can offer various game combinations responding to urban challenges in an integral and holistic way. To test a working game network, city games, models, and digital apps have been linked through their shared datasets as well as game interfaces. Two city experiments have been conducted in two Dutch cities—Amsterdam and Breda—which enabled the testing to function as “constructive design research.” In Amsterdam (Klimaatspel) two separate city games were connected through their datasets, while in Breda (Play the Koepel) datasets and interfaces merged to create a new game. Used data models are the Energy Transition Model developed by Quintel and the urban plan cost simulator software of Urban Reality. Used game interfaces (digital and analog) include the Typeform, the Network of Games app, the Urban Reality simulator, and the Play the City table-top game format. The testing considered two different approaches for a potential game network. The first option assumes an all-encompassing digital app, reformatting and involving various games and models in a single interface. The second option is an open approach that looks to link custom-made games with existing interfaces. The second option allows both simultaneous and sequential linking. Two experiments utilizing sequential and simultaneous integration of diverse digital tools suggest that a collection of interfaces connecting to each other throughout the entire process from a digital poll to an app, a simulator or a webinar, or analog game sessions is more effective than a single mobile phone app for all potential game interactions. Considering city games as an ecology of city tools that can be linked to one another becomes through this study a concrete goal to reach. Through combining specialized games, addressing complex city challenges becomes possible. This step enables a more effective participation environment for diverse experts and non-experts.

Early Warning System for Emergency Care: Designing a Timely Monitoring Mobile-Based System.

Early Warning Scores (EWSs) systems support the timely detection of patient deterioration and rapid response of the care team. Due to the mobility nature of healthcare settings, there has been a growing tendency to use mobile-based devices in these settings. This chapter aimed to design a mobile-based EWS application (app). This was a descriptive study to design the architecture of the proposed EWS app. The design of architecture was done using the Unified Modeling Language diagrams including a class diagram, use-case diagram, and activity diagram. We evaluated the architecture using the ARID scenario-based evaluation method. The proposed EWS application (app) was the integration of three EWSs, including NEWS2, PEWS, and MEOWS. The workflow of these EWSs systems was designed and integrated into a single app. Also, the static structure of the proposed EWS app was designed by class diagram and the behavioral structure was depicted by use-case and activity diagrams. The class diagram showed the system components and their relationships. However, the use-case diagram displayed the app's interaction with its environment, and the activity diagram illustrated how the EWS app processes were carried out. Evaluation results showed the possibility of designing the architecture for the proposed EWS app. In our app, the EWSs were designed in the clinician's workflow, and it was integrated with the patient's Electronic Health Record (EHR). These factors may lead to more use of EWSs. Considering the frequency of alerts represented to clinicians and the user-friendly design of the app, some suggestions can be considered by EWS systems developers in the future.