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Viewing one’s smartphone whilst walking commonly leads to a slowing of walking. Slowing walking speed may occur because of the visual constraints related to reading the hand-held phone whilst in motion. We determine how walking-induced phone motion affects the ability to read on-screen information. Phone-reading performance (PRP) was assessed whilst participants walked on a treadmill at various speeds (Slow, Customary, Fast). The fastest speed was repeated, wearing an elbow brace (Braced) or with the phone mounted stationary (Fixed). An audible cue (‘text-alert’) indicated participants had 2 s to lift/view the phone and read aloud a series of digits. PRP was the number of digits read correctly. Each condition was repeated 5 times. 3D-motion analyses determined phone motion relative to the head, from which the variability in acceleration in viewing distance, and in the point of gaze in space in the up-down and right-left directions were assessed. A main effect of condition indicated PRP decreased with walking speed; particularly so for the Braced and Fixed conditions (p = 0.022). Walking condition also affected the phone’s relative motion (p p ≤ 0.05). There was an inverse association between phone acceleration variability and PRP (p = 0.02). These findings may explain why walking speed slows when viewing a hand-held phone: at slower speeds, head motion is smoother/more regular, enabling the motion of the phone to be coupled with head motion, thus making fewer demands on the oculomotor system. Good coupling ensures that the retinal image is stable enough to allow legibility of the information presented on the screen.

Anybody can question the advantages of a kid having and starting to use a mobile phone. Nevertheless, from a certain age parents consider the use of mobile phones by kids quite useful. The mobile phone allows an easy communication between parents and children and permits child control. Furthermore, nowadays some Android smartphones have affordable prices that can bring new technologies and other opportunities to this domain. In this paper we present a system, that includes several new easy to use applications but with a set of advanced parent control features, to adapt the phone for child use and to minimize the risks.

BACKGROUND: Although the COVID-19 pandemic increased social isolation among hospitalised patients given isolation precautions, visitor restrictions and curtailed interactions with healthcare teams, medical students had limited opportunities for involvement in the care of inpatients. APPROACH: We designed a humanistic and narrative medicine intervention to engage medical students in combating social isolation in hospitalised patients during the COVID-19 pandemic at a tertiary care teaching hospital. In our programme, medical students provided virtual social support to hospitalised patients via phone by providing assistance connecting with family members, having informal conversations and check-ins and writing up patient life narratives. EVALUATION: From April 2020 to March 2021, we received 126 referrals of potentially isolated patients from inpatient medical teams. Fifty patients accepted and received our intervention, including 26 who completed life narratives. Feedback was positive, demonstrating benefit to medical students in learning about humanism and connecting with patients through their life stories. In addition, patients and medical teams felt more supported. We share key operational lessons and resources to facilitate the implementation of this intervention elsewhere. IMPLICATIONS: Our intervention allows medical students to meaningfully contribute to the care of inpatients, support beleaguered inpatient teams and learn important lessons about humanism in medicine. This educational and patient care intervention holds promise in other settings, including beyond the COVID-19 pandemic.

We study how the public changes their mobility and retail spending patterns as precautionary responses to the disclosed location of COVID-19 cases. To look into the underlying mechanisms, we investigate how such change varies spatially and whether there is any spatial spillover or substitution. We use the daily data of cell phone?based mobility and credit card transactions between February 10 and May 31 in both 2019 and 2020 in Seoul, South Korea, and employ the empirical approach analyzing the year-over-year percent change for the mobility and consumption outcomes. Results report that one additional COVID-19 case within the last 14 days decreased non-resident inflow and retail spending by 0.40 and 0.65 percentage points, respectively. Then, we also find evidence of spatial heterogeneity: the mobility and retail performances of neighborhoods with higher residential population density were more resilient to COVID-19 case information while neighborhoods with higher levels of land use diversity and retail agglomeration experienced a greater localized demand shock. This heterogeneity is not negligible. For example, one additional COVID-19 case in neighborhoods in the bottom 20% for population density led to a decline of 1.2 percentage points in retail spending, while other neighborhoods experienced a less negative impact. Finally, we find a significant spatial spillover effect of disclosed COVID-19 information instead of spatial substitution. One additional COVID-19 case in geographically adjacent areas within the last 14 days reduced non-resident inflow and retail spending in the subject neighborhood by 0.06 and 0.09 percentage points, respectively. This article is protected by copyright. All rights reserved.

From a scientific, social and educational contribution, this article shows the teaching-learning process of physical science with the M-Learning model, in addition, it reflects on the repercussions of the application of the educational model during the pandemic in high school students of a rural public school in Colombia in two facets. In the first facet it is evidenced that M-Learning from a constructivist approach, is bringing physical science effectively to the place where the students are and has contributed with its possibility of social isolation, that Covid-19 is contained. in the rural context, the smart cell phone and the WhatsApp application stand out for their portability and economic advantages. In the second facet, by means of a virtual survey, an instrument with four scales measuring the family environment, cyberbullying, student satisfaction and willingness to study is applied. It is found that willingness to study is explained by family climate (24%) and satisfaction with the educational service (51%). The evidence suggests that student well-being is being affected by m-learning in the pandemic impacting willingness to study, thus education in the rural sector is devolving. Desde un aporte científico, social y educativo, este artículo muestra el proceso de enseñanza-aprendizaje de la ciencia física con el modelo M-Learning, además, reflexiona sobre las repercusiones que conlleva la aplicación del modelo educativo durante la pandemia en los estudiantes de secundaria de un colegio público rural de Colombia en dos facetas. En la primera faceta se evidencia que el M-Learning desde un enfoque constructivista, está llevando la ciencia física con efectividad al lugar donde están los estudiantes y ha contribuido con su posibilidad de aislamiento social, que la Covid-19 sea contenida. En la ruralidad, el teléfono móvil inteligente y la aplicación WhatsApp se destacan por su portabilidad y ventajas económicas. En la segunda faceta mediante una encuesta virtual se aplica un instrumento de cuatro escalas que miden el ambiente familiar, el ciberacoso, la satisfacción del estudiante y la disposición hacia el estudio. Se encuentra que la disposición para el estudio es explicada por el clima familiar (24%) y por la satisfacción del servicio educativo (51%). La evidencia sugiere que el bienestar estudiantil está siendo afectado por el m-learning en la pandemia repercutiendo en la disposición hacia el estudio, por lo que la educación en el sector rural está involucionando. A partir de uma contribuição científica, social e educacional, este artigo mostra o processo ensino-aprendizagem das ciências físicas com o modelo M-Learning, e reflecte também sobre as repercussões da aplicação do modelo educacional durante a pandemia em estudantes do ensino secundário numa escola pública rural na Colômbia, em duas facetas.A primeira faceta mostra que o m-learning, a partir de uma abordagem construtivista, está efectivamente a levar a física para o local onde os estudantes se encontram, contribuindo com a sua possibilidade de isolamento social para a contenção da covid-19. Nas zonas rurais, o smartphone e a aplicação WhatsApp destacam-se pela sua portabilidade e vantagens económicas.Na segunda faceta, através de um inquérito virtual, é aplicado um instrumento com quatro escalas que mede o ambiente familiar, cyberbullying, satisfação dos estudantes e vontade de estudar. A vontade de estudar é explicada pelo clima familiar (24%) e pela satisfação com o serviço educativo (51%). As evidências sugerem que a população estudantil está a ser afectada pela m-learning na pandemia, afectando a vontade de estudar, de modo que a educação no sector rural seria involuntária. A partir de uma contribuição científica, social e educacional, este artigo mostra o processo ensino-aprendizagem das ciências físicas com o modelo M-Learning, e reflecte também sobre as repercussões da aplicação do modelo educacional durante a pandemia em estudantes do ensino secundário numa escola pública rural na Colômbia, em duas facetas.A primeira faceta mostra que o m-learning, a partir de uma abordagem construtivista, está efectivamente a levar a física para o local onde os estudantes se encontram, contribuindo com a sua possibilidade de isolamento social para a contenção da covid-19. Nas zonas rurais, o smartphone e a aplicação WhatsApp destacam-se pela sua portabilidade e vantagens económicas.Na segunda faceta, através de um inquérito virtual, é aplicado um instrumento com quatro escalas que mede o ambiente familiar, cyberbullying, satisfação dos estudantes e vontade de estudar. A vontade de estudar é explicada pelo clima familiar (24%) e pela satisfação com o serviço educativo (51%). As evidências sugerem que a população estudantil está a ser afectada pela m-learning na pandemia, afectando a vontade de estudar, de modo que a educação no sector rural seria involuntária

PurposeThis case study examines employee share ownership at Central States Manufacturing, where the employee stock ownership plan (ESOP) shares stunning sums of wealth with employees. Central States designs its ESOP to allow participants to access a portion of their ownership wealth while they are still employed at the company, through hardship and in-service withdrawals. This may make the “wealth benefit” of employee ownership more meaningful to lower-wage workers navigating economic challenges. The case study adds to the discussion about how employee ownership can benefit low- and moderate-wage workers and close the wealth gap.Design/methodology/approachData were collected via: (1) published accounts, (2) structured qualitative interview with the chief financial officer (CFO), (3) follow-up emails and phone communication with company contact and (4) review of plan document language.FindingsWorkers at Central States Manufacturing – including truck drivers and production workers – build large sums of wealth through the ESOP. Central States innovates in its ESOP by permitting workers to access a portion of their ownership wealth while they are still working through hardship and service withdrawals.Research limitations/implicationsThis is a mini-case study heavily reliant on the information provided by the CFO, in combination with background publications, and plan document language. It does not include employee interviews.Originality/valueThis paper lifts up an innovative company whose success and innovative ESOP plan design benefit frontline workers.

This study documented the provision of services and issues experienced by community organizations supporting older adults and caregivers in the province of Quebec during the coronavirus disease (COVID-19) pandemic, as well as promising strategies to adapt the provision of services in this context. A cross-sectional electronic survey using open- and closed-ended questions was conducted in July 2020. Almost three-quarters of the 307 respondents (71.4%) reported having maintained services at least partially throughout the lockdown, and the majority (85.3%) adapted their services. Among key challenges, participants reported difficulties identifying and supporting older adults at greater risk of vulnerability (54.8%), managing health risks for service users (60.2%), and recruiting volunteers (59.5%). Promising strategies included strategies to reach out to older adults and understand their needs (e.g., systematic phone calls) in addition to direct interventions supporting them (e.g., activities promoting social ties); implementing prevention and protection measures; accessing and using technologies; human resources management (e.g., recruiting new volunteers); finding financial support for their organization; developing intersectoral partnerships (e.g., multisectoral crisis cell); and promoting a positive view of older adults. The integration of multiple perspectives from different stakeholders may help identify strategies potentially transferable to other crises in order to meet older adults’ needs.

Purpose: The major goal of this study is the identification and assessment of innovations in organic food distribution and their importance in times of pandemic and electronic economy in Poland, especially actions undertaken by special chain stores of organic food. Approach/Methodology/Design: A study of a selected chain store was carried out in 2021 by the Mystery shopper method in Warsaw, Wroclaw, Swarzedz and Poznan. It was comprehensive and of nationwide character. The results were compared with customers’ opinions in which way a comprehensive assessment was achieved. Additionally, the study presents information about the development of chain stores in Poland including those which sell organic foods. Characteristics of organic food customers in the time of pandemic and electronic economy have been presented as well as the concept and classification of innovation and innovative solutions implemented in similar chain stores abroad. Findings: Implementation of technological innovation was assessed for a selected specialist chain store. Innovative, 24 hour, phone application based customer self-service with no personnel present (24/7) meets customers’ expectations and is well rated by most of them (well and very well by 81%). Customers’ comfort and communication were best rated, time efficiency slightly lower, whereas reliability was given the lowest, though better than good, score. Practical Implications: The study provides clients with the possibility of doing shopping with assistance of a consultant when needed, and it offers a chance for an individual, unattended purchase with the use of an application for those who avoid direct contact with other people in the time of pandemic and want to choose the product by themselves. Such a system is an option between the traditional form of stationary retailing and online shopping. Originality/Value: The proposed solutions are to contribute to the development of organic food market and marketing in the studied area.

The increasing use of the Internet by a society marked by soaring costumer and businessmen, to encourage the emergence of an internet service demand in excess of what can be obtained in the real world. This includes the opportunity to sell goods online commodity. Business people in general are still conducting business transactions manually through direct face to face or over the phone. But sometimes this method is not very effective, because not everyone knows the phone number of the company. Should be developed based E-commerce system that focuses on individual-based business transactions using the Internet (technology-based digital networks) with application of E-commerce transactions can be done more quickly and more intensively. Therefore the grace of catering company wants to advertise his wares by using websites that have a sales system based on e-commerce with the aim of selling efficiency of the way the previous sales system. The method used in the design and development of e-commerce in the catering grace Semarang is a Research and Development (R & D) in this study only up to the stage six (6) to produce the end product is a prototype, so it was not until the stage of implementation of the product. The sixth step is Research and information collecting, Planning, Develop prelminaryformof product, Preliminary field testing, revision and Main Main product field testing. The results of the research prototype applications products that have been tested in the field and meet the objectives stated in the design and application development e-commerce in the catering grace Semarang

OBJECTIVE We performed a pilot study of a resident-initiated, inquiry-based preoperative briefing (R-PROB) to determine the feasibility and potential impact on the educational experience. DESIGN A prospective, qualitative pilot study was performed in a general surgery residency program. The R-PROB included pre-operative emails to faculty with case summaries, learning goals, and questions. Faculty responded by email, phone, or in-person. Semi-structured interviews were completed before and after R-PROB implementation. Interviews were transcribed, coded, and analyzed through collaboration with a mixed-methods laboratory. SETTING An urban, university-based general surgery residency PARTICIPANTS Ten attendings from three university affiliated hospitals based on frequency of resident interaction, variation in experience and case types were selected. Thirteen residents that worked closely with the selected attendings, ranging from Clinical Year 1-5, were then recruited to participate. RESULTS The R-PROB was viewed overall positively and felt to be easily incorporated into the curriculum. The R-PROB significantly improved attending perception of resident preparedness. Junior residents (CY1-3) affirmed that R-PROB very strongly improved case preparation. The preoperative exchange was valued by both participants as improving communication frequency, transparency, and quality. The majority of attendings stated that the R-PROB enabled tailored teaching to each resident's level both preoperatively and in the operating room. Residents affirmed attending teaching to be more targeted towards their goals and objectives after the R-PROB. Challenges included late case assignments and minor time limitations. CONCLUSIONS A resident-initiated, inquiry-based preoperative briefing intervention is feasible and overall positively perceived by both participants. The briefings had a positive impact on resident preparedness, bi-directional communication, and permitted focused attending teaching.

Governments and NGOs are switching to phone- and Internet-based communication technologies to reduce costs and broaden access to public services. However, these technological shifts can backfire if they exacerbate administrative burden in high-need communities. We conducted a randomized controlled trial in Greece evaluating which communication mode best allows disadvantaged groups to solicit information about free services. Subjects were 18 times more likely to use a prepaid postcard and 8 times more likely to use a postcard requiring postage than a hotline or email to seek information about free dental care. Focus groups indicate that low self efficacy greatly limits disadvantaged groups’ willingness to use newer technologies for bureaucratic inquiries. We demonstrate that the administrative burden associated with technological shifts is larger than previously believed and that widespread psychological barriers include not only the stigma of welfare receipt, but also the stigma of mishandling a conversation with a bureaucrat.

With advances in technology, telehealth has become an acceptable way of conducting psychotherapy. During the COVID-19 pandemic, telehealth and ways to modify treatments for delivery via telehealth have become increasingly important. Researchers and clinicians have issued recommendations on providing telehealth-based care in response to the COVID-19 global pandemic. However, recommendations are limited for audio only telephone-based care, which may be the only option for specific clients. This is a case study of an older adult who completed Cognitive Processing Therapy (CPT) for military sexual trauma. Halfway through her treatment, COVID-19 resulted in transitioning from in-person services to a virtual format. Client X did not have video capabilities aside from her cell phone, and it was determined she would complete treatment via telephone-based sessions. Client X’s outcome data is presented, and the reductions in her PTSD and depressive symptoms provide preliminary support suggesting that telephone-based care may be an acceptable method of receiving CPT. Recommendations for telephone-based CPT are provided.

This research attempts to find out the impact of using cellphones on the students’ pronunciation with an emphasis on consonant clusters. The sample of the study was 40 female secondary school students divided into two groups control and experimental. The study attempted to answer one question: Will the use of pronunciation videos on cell phones help to improve Saudi female secondary students' pronunciation of English consonant clusters occurring in the onset position? To achieve this, the researcher conducted a pre-test and a post-test to test students’ pronunciation of selected vocabulary from the English Inventory of consonant clusters. After the pre-test, the experimental group used video to practice these sounds while the control group practiced that in traditional classes. The findings showed that both groups improved. However, the excremental group, having utilised cell phone videos, made significant improvement by 7.05% in the correct production of consonant clusters.

Background Despite recent incentives through Medicare (Australia’s universal health insurance scheme) to increase retinal screening rates in primary care, comprehensive diabetic retinopathy (DR) screening has not been reached in Australia. The current study aimed to identify key factors affecting the delivery of diabetic retinopathy (DR) screening in Australian general practices. Methods A descriptive qualitative study involving in-depth interviews was carried out from November 2019 to March 2020. Using purposive snowballing sampling, 15 general practitioners (GPs) were recruited from urban and rural general practices in New South Wales and Western Australia. A semi-structured interview guide was used to collect data from participants. All interviews were conducted over the phone by one facilitator, and each interview lasted up to 45 min. The Socio-Ecological Model was used to inform the content of the interview topic guides and subsequent data analysis. Recorded data were transcribed verbatim, and thematic analysis was conducted to identify and classify recurrent themes. Results Of 15 GPs interviewed, 13 were male doctors, and the mean age was 54.7 ± 15.5 years. Seven participants were practising in urban areas, while eight were practising in regional or remote areas. All participants had access to a direct ophthalmoscope, but none owned retinal cameras. None of the participants reported performing DR screening. Only three participants were aware of the Medicare Benefits Schedule (MBS) items 12,325 and 12,326 that allow GPs to bill for retinal screening. Seven themes, a combination of facilitators and barriers, emerged from interviews with the GPs. Despite the strong belief in their role in managing chronic diseases, barriers such as costs of retinal cameras, time constraints, lack of skills to make DR diagnosis, and unawareness of Medicare incentives for non-mydriatic retinal photography made it difficult to conduct DR screening in general practice. However, several enabling strategies to deliver DR screening within primary care include increasing GPs’ access to continuing professional development, subsidising the cost of retinal cameras, and the need for a champion ace to take the responsibility of retinal photography. Conclusion This study identified essential areas at the system level that require addressing to promote the broader implementation of DR screening, in particular, a nationwide awareness campaign to maximise the use of MBS items, improve GPs’ competency, and subsidise costs of the retinal cameras for small and rural general practices.

Our team at the Jefferson Center City Clinic for Behavioral Medicine has recently been challenged to find a synthesis between the need to adapt to circumstances associated with the COVID-19 pandemic, while at the same time retaining the spirit and essential components of comprehensive DBT. This fine balance between unwavering centeredness and compassionate flexibility is central to DBT (Linehan, 1993), and has proven essential during these times of uncertainty. This short article highlights challenges and innovations faced by our DBT Team, Skills Group, individual DBT sessions, phone coaching, and also our community at large, as we strive to help our patients and team members build a life worth living during and following a pandemic.

Mobile apps can only increase access to alcohol treatment if patients actively engage with them. Peers may be able to facilitate such engagement by providing supportive accountability and instruction and encouragement for app use. We developed a protocol for peers to support engagement in the Stand Down app for unhealthy alcohol use in veterans and tested the acceptability and utility of the protocol. Thirty-one veteran primary care patients who screened positive for unhealthy alcohol use and were not currently in addiction treatment were given access to Stand Down for four weeks and concurrently received weekly phone support from a Department of Veterans Affairs peer specialist to facilitate engagement with the app. App usage was extracted daily, and pre/post treatment assessments measured changes in drinking patterns, via the Timeline Followback interview, and satisfaction with care, via quantitative and qualitative approaches. A priori benchmarks for acceptability were surpassed: time spent in the app (M = 93.89 min, SD = 92.1), days of app use (M = 14.05, SD = 8.0), and number of daily interviews completed for tracking progress toward a drinking goal (M = 12.64, SD = 9.7). Global satisfaction, per the Client Satisfaction Questionnaire, was high (M = 26.4 out of 32, SD = 4.5). Pre to post, total standard drinks in the prior 30 days (MPre = 142.7, MPost = 85.6), Drinks Per Drinking Day (MPre = 5.4, MPost = 4.0), and Percent Heavy Drinking Days (MPre = 35.3%, MPost = 20.1%) decreased significantly (ps < .05). Findings indicate that Peer-Supported Stand Down is highly acceptable to veteran primary care patients and may help reduce drinking in this population. A larger controlled trial of this intervention is warranted. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Students academic performance could be affected by excessive use of the smartphone. This study focuses on analyzing the level of cell phone addiction in engineering university students. It also seeks to determine if there is a difference by gender in this behavior. 306 engineering students from a Technological Institute in Veracruz, Mexico participated in the study. The instrument used to obtain data was SAS-SV (Smartphone addiction scale-short version) designed by [1]. In order to identify the set of indicators with the highest factor loadings, an exploratory factor analysis was carried out with extraction of components and orthogonal rotation with the Varimax method. To identify if there is a difference by gender, the t test is used to contrast the hypothesis about two independent population means. The findings demonstrated the extraction of two components, which differs from the one-dimensional model proposed by [1], and no difference was found between the groups of male and female students.

The current study primarily aims to develop a dictionary system for tracing mobile phone numbers for call centers of mobile communication companies. This system tries to save the numbers using a digital search tree in order to make the processes of searching and retrieving customers’ information easier and faster. Several shrubs that represent digits of the total phone numbers will be built through following the phone number digits to be added to the dictionary, with the owner name being at the last node in the tree. Thus, by such searching process, every phone number can be tracked digit-by-digit according to a required path inside its tree, until reaching the leaf. Then, the value stored in the node, that represents the name of phone number’s owner, is returned. Consequently, the amount of memory required to store data will be reduced and data retrieval will be faster.

Repair, one key concept in conversation analysis, usually refers to the ways of dealing with troubles of speaking, understanding, and hearing in the talk (Schegloff et al., 1977). This paper focuses on the latter two trouble sources, i.e., troubles of hearing and understanding. The study here, of a dataset of interactions concerning information inquiries between two Chinese learners of English and eight service employees in hotels or airlines, investigates how the repair is initiated and completed via phone through the perspective of conversation analysis. It mainly explores (a) how trouble sources are identified by the recipient over the phone; (b) how the repair is initiated in phone conversations; and (c) how repair strategies and repair avoidance are used based on the recipients’ identification of the trouble source type and the importance of the mistake or misunderstanding, in the service industry. The results showcase that Chinese English speakers encounter troubles of understanding and hearing in phone conversations frequently. A selection of initiators and strategies are identified, such as repair preface (e.g., ‘I mean’) and pre-framing. The analysis also illustrates that the service personnel involved tend to either accept the customer’s candidate understanding to avoid the repair or continuously make repairs on their own turns to clarify. Such empirical evidence further supports and validates Kitzinger’s (2013) idea that a) specific repair forms and practices are constrained by a range of local factors, and b) people adopt diversified methods and strategies to ‘fix’ troubles of hearing and understanding.

BACKGROUND: Many medical schools offer a culminating internship readiness experience. Curricula focus on particular knowledge and skills critical to internship, such as answering urgent nursing pages. Studies have shown student performance improvement with mock paging education programs, but the role of feedback versus self-regulated practice has not been studied. DESIGN AND METHODS: The interprofessional mock paging program included 156 medical students enrolled in a 4(th)-year internship readiness course and 44 master’s level direct entry nursing students. Medical students were randomized to receive verbal feedback immediately after each of the three phone calls (intervention group) or delayed written feedback (control group) after the third phone call only. Specialty-specific case scenarios were developed and a single checklist for all scenarios was developed using the communication tool ISBAR. Medical students and nursing students had separate training sessions before the pages commenced. The nursing students administered the phone calls and evaluated the medical students by ISBAR checklist. An interrater reliability measure was obtained with physician observation of a selection of phone calls. RESULTS: After adjusting for the case effects (different case scenarios for different specialties), students showed no statistically significant differences on checklist scores for case 1 (first case, F = 1.491, df = 1, p = .224), but did show statistically significant differences on checklist scores for case 3 (final case, F = 12.238, df = 1, p = .001). Strong interrater reliability was found between the faculty physician and observed nursing students (ICC = .89). CONCLUSIONS: Immediate feedback significantly improves student checklist scores with a mock paging program. This finding suggests that coaching with feedback may have advantages above self-regulated learning.

Purpose This study aims to examine the organizational citizenship behaviors toward the environment among US-based faculty members, in social sciences, natural sciences, the humanities and engineering. Potential barriers that may stop academia from being more sustainable are examined but also the opportunities for academics to be involved in environmental sustainability are explored. Design/methodology/approach The authors followed a sequential explanatory mixed methods approach using online surveys (n = 633) followed by open-ended phone interviews (n = 28). Findings Results suggest that there are certain power dynamics that force young faculty members in anti-environmental behaviors, although they are cognizant of the negative impacts on the environment. Many faculty members engage in environmental-related actions outside their service requirements, but this is mostly the case for tenured faculty members. Originality/value The originality of this study lies in the fact that it explores environmental behaviors from an academic ranking perspective and expands on pertinent barriers to promote sustainable behaviors in academia.

In the spring of 2020, the educational system of Ukraine faced a new challenge in the form of distance learning at all levels of education. The reason was the global pandemic COVID-19, which affected all spheres of human life. Previously, the problems and advantages of distance learning were studied by Ukrainian scholars P. Dmytrenko, I. Kuzmina, V. Kukharenko, V. liynyk, Y. Pasichnyk, O. Rybalko, N. Sirotenko, P. Stefanenko and others. All of them explored the features of distance learning of students. This can be explained by the fact that one of the main requirements for this form of learning is the ability to learn independently, strong motivation and self-organization. The topic of the research is the difficulties of teaching English to high school students in Ukrainian schools in the conditions of distant educational process. The article describes the difficulties arisen in teaching English to high school students. Thus, teachers and high school students faced difficulties of technical (problems with technology and the Internet), organizational (non-compliance with the online schedule, violation of the daily routine, late assignments) and psychological (fatigue, isolation, restriction of live communication) nature. The paper provides recommendations for overcoming the difficulties of distance learning, namely the combination of synchronous and asynchronous interaction with a clear indication of all terms, tutorials, platforms, additional resources, ways of additional communication, taking into account possible technical and personal difficulties; close interaction with parents. It is necessary to explain the course and features of the distance learning process, tasks, requirements and clear deadlines not only for students but also for parents to help their children organize their time and space for productive work; if the student does not have access to digital technologies, it is advisable to inform him of the list of topics, the sequence of their study in the textbook available to the student, as well as the list of tasks that must be performed to achieve the intended learning outcomes. If possible, communication is conducted by phone or e-mail, but the student carries out most of the learning activities independently. Thus, the article identifies the main difficulties that arose in the process of teaching high school students English (technical, organizational, psychological) and outlines the possibilities of overcoming them. It is emphasized that teachers play an important role in solving difficulties.

When people face a health problem, they often first ask, ‘Is there an app for that?’. We investigated the quality of advice provided by the Ada symptom assessment application to address the question, ‘How do I know the app on my phone is safe and provides good advice?’. The app was tested with 48 independently created vignettes developed for a previous study, including 18 specifically developed for the Australian setting, using an independently developed methodology to evaluate the accuracy of condition suggestions and urgency advice. The correct condition was listed first in 65% of vignettes, and in the Top 3 results in 83% of vignettes. The urgency advice in the app exactly matched the gold standard 63% of vignettes. The app’s accuracy of condition suggestion and urgency advice is higher than that of the best-performing symptom assessment app reported in a previous study (61%, 77% and 52% for conditions suggested in the Top 1, Top 3 and exactly matching urgency advice respectively). These results are relevant to the application of symptom assessment in primary and community health, where medical quality and safety should determine app choice.

The rapid mobilization of telemedicine during the COVID-19 pandemic has brought about renewed concern about the digital divide. Understanding the benefits and limitations of remote medical care is an ongoing process. Access to telemedicine appointments, as well as the experience of the virtual appointment itself, varies across demographic groups. Telemedicine has promise in dermatology. However, if it continues to expand beyond the pandemic, federal changes may be necessary to improve access to remote care for all patients moving forward. This involves creating mandates for increased broadband access, deploying digital health tools and portals usable by underserved populations, and increasing access to interpreters. Information technology personnel may also become necessary members of the clinical care team. Parity between video and phone visit reimbursement for providers is also necessary.

Distraction occurs when a driver’s attention is diverted from driving to a secondary task. The number of distraction-affected crashes has been increasing in recent years. Accurately predicting distraction-affected crashes is critical for roadway agencies to reduce distracted driving behaviors and distraction-affected crashes. Recently, more and more emerging phone-use data and machine learning techniques are available to safety researchers, and can potentially improve the prediction of distraction-affected crashes. Therefore, this study first examines if phone-use events provide essential information for distraction-affected crashes. The authors apply the machine learning technique (i.e., XGBoost) under two scenarios, with and without phone-use events, and compare their performances with two conventional statistical models: logistic regression model and mixed-effects logistic regression model. The comparison demonstrates the superiority of XGBoost over logistic regression with a high-dimensional unbalanced dataset. Further, this study implements SHAP (SHapley Additive exPlanation) to interpret the results and analyze the importance of individual features related to distraction-affected crashes and tests its ability to improve prediction accuracy. The trained XGBoost model achieves a sensitivity of 91.59%, a specificity of 85.92%, and 88.72% accuracy. The XGBoost and SHAP results suggest that: (1) phone-use information is an important factor associated with the occurrences of distraction-affected crashes; (2) distraction-affected crashes are more likely to occur on roadway segments with higher exposure (i.e., length and traffic volume), unevenness of traffic flow condition, or with medium truck volume.

Managing digital privacy and security is often a collaborative process, where groups of individuals work together to share information and give one another advice. Yet, this collaborative process is not always reciprocal or equally shared. In many cases, individuals with more expertise help others without receiving help in return. Therefore, we studied the phenomenon of "Tech Caregiving" by surveying 20 groups (112 individuals) comprised of friends, family members, and/or co-workers who identified at least one member of their group as a someone who provides informal technical support to the people they know. We found that tech caregivers reported significantly higher levels of power use and self-efficacy for digital privacy and security, compared to tech caregivees. However, caregivers and caregivees did not differ based on their self-reportedcommunity collective-efficacy for collaboratively managing privacy and security together as a group. This finding demonstrates the importance of tech caregiving and community belonging in building community collective efficacy for digital privacy and security. We also found that caregivers and caregivees most often communicated via text message or phone when coordinating support, which was most frequently needed when troubleshooting or setting up new devices. Meanwhile, discussions specific to privacy and security represented only a small fraction of the issues for which participants gave or received tech care. Thus, we conclude that educating tech caregivers on how to provide privacy and security-focused support, as well as designing technologies that facilitate such support, has the potential to create positive networks effects towards the collective management of digital privacy and security.

Monitoring of patients is an integral part of health-care system, both in the hospital and at home. Monitoring devices are useful to monitor a person's health. Monitoring is necessary in case of symptoms of a disease that must be acted quickly to prevent the patient's condition from worsening. One way of monitoring patients' specifications is shown by their BPM value and temperature. The purpose of this study is the design of devices on a patient's wrist that can monitor BPM and his body temperature in real time and are not affected by distance. This research contribution is a system that can provide bradycardia indicators and tachycardia for BPM while hyperthermia and hypothermia for temperature. For a monitoring device to be more practical and efficient for use, it has a device with real time monitoring and a small frame of bracelets and alerts phones and emails during abnormal conditions. The design of the device uses the SEN0203 sensors as a BPM sensor that has analog and digital outputs, as well as MLX90614 sensors that have a digital output, and then data will be processed and shown live to oled ESP333TTGO and data sent to the blynk application on the phone aided by ESP32TTGO as a wifi module. The BPM has the smallest 0.1% error and the largest of 1.09% whereas the temperature has the smallest 0.19% and the largest of 1.63%. These results can be redeveloped on monitor patients to increase the efficiency of the remote monitoring system with alert conditions of patients at an abnormal time via mobile phones and emails.

Technological developments in telecommunications, especially cell phone, enable us to keep communicate without meeting each other. Especially during the latest coronavirus outbreak, when people need to keep up social distance. Meanwhile, electronic devices such as smartphone, tablets, laptops, and light-emitting diode screens are the sources of visible lights that can emit high levels of short-wavelength visible light (blue region in the light spectrum). Prolonged exposure to high-energy blue light, heat dissipation from cell phone, friction, trapped sweat and oil, accumulation of dust, and increased bacterial growth can cause cell phone acne. Management of cell phone acne from prevention to combination therapy based on the results of the evaluation of the severity of acne is needed.

The use of mobile phones has become increasingly popular in recent years and it is more prevalent among university students. The widespread usage of cell phones has attracted the attention of many students, thereby increasing their rate of cell phone dependency. This study aimed to describe cell phone behaviours among undergraduate regular students at the University of Cape Coast. A survey research design was adopted for the study. Through the use of the stratified sampling technique, a sample of 2,061 undergraduate regular students participated in the study. Questionnaire adapted from Choliz’s (2012) Test of Mobile-phone Dependence (TMD) was used. The internal consistency, estimated using McDonald’s omega coefficient, ranged from .84 to .95. Means and standard deviations were used in analyzing the data for the study. The findings of the study revealed that students were prevalent in the use of cell phones in sending text messages, followed by surfing of the internet, length of time spent on the cell phone, and use of cell phone as a source of entertainment. It was recommended among other things that students should consciously regulate their use of cell phones so that it does not jeopardize their academic work.

Objective. The aim of the study is to examine family childcare providers’ (FCCPs) attitudes and perceived barriers related to nutrition, physical activity (PA), and screen time (ST) behaviors of preschool children, exploring differences by provider ethnicity. Design. Baseline survey data from a cluster-randomized trial. Participants. Around 168 FCCPs completed a telephone survey, and 126 completed both telephone and in-person surveys. Main Outcome Measures. Phone and in-person surveys include 44 questions to assess FCCPs attitudes and perceived barriers regarding nutrition, PA, and ST in the family childcare home. Analysis. Associations by ethnicity (Latinx vs. non-Latinx) were assessed by ANOVA, adjusting for provider education and Bonferroni correction. Results. Some FCCP attitudes were consistent with national obesity prevention guidelines; for example, most FCCPs agreed that they have an important role in shaping children’s eating and PA habits. However, many FCCPs agreed with allowing children to watch educational TV and did not agree that children should serve themselves at meals. Adjusting for education, there were statistically significant differences in attitude and perceived barrier scores by provider ethnicity. For example, Latinx FCCPs were more likely to agree that they should eat the same foods as children p < .001 but less likely to agree that serving the food at meal and snack time is the adult’s responsibility p < .001 . Latinx FCCPs were more like to perceive barriers related to children’s safety playing outside p < .001 . Conclusions and Implications. While FCCPs hold some nutrition-, PA-, and ST-related attitudes consistent with national guidelines, training opportunities are needed for FCCPs to improve knowledge and skills and overcome perceived barriers related to nutrition and PA. Latinx FCCPs, in particular, may need culturally tailored training and support to overcome misperceptions and barriers.

This study was conducted with the aim of examining the follow-up of parents of children with epilepsy on their knowledge and performance. Researcher selected 29 parents through the available sampling method, after obtaining the approval of the Ethics and Licensing Committee. Then, training in epilepsy care and prevention was given to them according to a checklist, and after a month, they were followed up by phone, and the questionnaires were completed. Using the pairwise comparison test (paired t-test), it can be concluded that the two variables of knowledge of how to work and rest at home and knowledge of time and how to bandage, bathe and care, had no significant differences before and after the intervention; because the probability value was higher than the significance level (P-value = 0.83). Using the Cohen's kappa coefficient, it was found that 85% of people have reached the desired knowledge through education.

Since the Covid-19 pandemic 2020 we have experienced so much of our lives through our computer and phone screens - including the 1,787,366 people have shared the image of the Mona Lisa on social media. I consider how we can design artworks to communicate digitally utilising a range of senses testing the notion that if you enable visitors to galleries and museums to touch sculptures it should enable greater understanding about complex ideas. The focus of my artworks was the history of the transmission of disease. I original designed ceramic sculptures that incorporated touch sensitive electronic sound components. Touching objects and visiting galleries became off limits during the pandemic so the touch hypothesis could not be tested, and instead QR codes were used to allow the digital viewer to extend their experience beyond the visual. The project started as an art in science experiment in incorporating sound, sight and touch into sculpture, but finally became my personal memorial to 2020 pandemic and a tribute to the many we have lost to Covid-19.

Restricting in-person interactions is an important technique for limiting the spread of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Although early research found strong associations between cell phone mobility and infection spread during the initial outbreaks in the United States, it is unclear whether this relationship persists across locations and time. We propose an interpretable statistical model to identify spatiotemporal variation in the association between mobility and infection rates. Using one year of US county-level data, we found that sharp drops in mobility often coincided with declining infection rates in the most populous counties in spring 2020. However, the association varied considerably in other locations and across time. Our findings are sensitive to model flexibility, as more restrictive models average over local effects and mask much of the spatiotemporal variation. We conclude that mobility does not appear to be a reliable leading indicator of infection rates, which may have important policy implications.

Objectives Hypertension is a modifiable risk factor for numerous comorbidities and treating hypertension can greatly improve health outcomes. We sought to increase the efficiency of a virtual hypertension management program through workflow automation processes. Methods We developed a customer relationship management (CRM) solution at our institution for the purpose of improving processes and workflow for a virtual hypertension management program and describe here the development, implementation, and initial experience of this CRM system. Results Notable system features include task automation, patient data capture, multi-channel communication, integration with our electronic health record (EHR), and device integration (for blood pressure cuffs). In the five stages of our program (intake and eligibility screening, enrollment, device configuration/setup, medication titration, and maintenance), we describe some of the key process improvements and workflow automations that are enabled using our CRM platform, like automatic reminders to capture blood pressure data and present these data to our clinical team when ready for clinical decision making. We also describe key limitations of CRM, like balancing out-of-the-box functionality with development flexibility. Among our first group of referred patients, 76% (39/51) preferred email as their communication method, 26/51 (51%) were able to enroll electronically, and 63% of those enrolled (32/51) were able to transmit blood pressure data without phone support. Conclusion A CRM platform could improve clinical processes through multiple pathways, including workflow automation, multi-channel communication, and device integration. Future work will examine the operational improvements of this health information technology solution as well as assess clinical outcomes.

Background Many children with autism cannot receive timely in-person diagnosis and therapy, especially in situations where access is limited by geography, socioeconomics, or global health concerns such as the current COVD-19 pandemic. Mobile solutions that work outside of traditional clinical environments can safeguard against gaps in access to quality care. Objective The aim of the study is to examine the engagement level and therapeutic feasibility of a mobile game platform for children with autism. Methods We designed a mobile application, GuessWhat, which, in its current form, delivers game-based therapy to children aged 3 to 12 in home settings through a smartphone. The phone, held by a caregiver on their forehead, displays one of a range of appropriate and therapeutically relevant prompts (e.g., a surprised face) that the child must recognize and mimic sufficiently to allow the caregiver to guess what is being imitated and proceed to the next prompt. Each game runs for 90 seconds to create a robust social exchange between the child and the caregiver. Results We examined the therapeutic feasibility of GuessWhat in 72 children (75% male, average age 8 years 2 months) with autism who were asked to play the game for three 90-second sessions per day, 3 days per week, for a total of 4 weeks. The group showed significant improvements in Social Responsiveness Score-2 (SRS-2) total (3.97, p Conclusion The results support that the GuessWhat mobile game is a viable approach for efficacious treatment of autism and further support the possibility that the game can be used in natural settings to increase access to treatment when barriers to care exist.

Studies aiming to construct risk networks have historically collected network members' names, demographic characteristics and relational data (i.e., type, strength, duration, frequency of interaction, and HIV-related risk behaviors between the pair). Due to difficulties in constructing risk networks stemming from partner anonymity and the use of nicknames, some studies also collect network members’ screen names, phone numbers, physical attributes, and scars/tattoos to assist with entity resolution. In-depth interviews with 20 men who have sex with men and transgender women in Kentucky assessed privacy/confidentiality concerns as well as accuracy/recall issues associated with providing these details. Most preferred providing alters’ nicknames/first names only or a first name with the first letter of the last name. Many perceived screen names, phone numbers, and scars/tattoos to be too personal/identifying. Willingness to provide more detailed information varied by relationship type/strength, which could influence the validity of the resulting network.

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. Previous literature on the SNARC effect examined which factors modulate spatial-numerical associations. Recently, the role of order in the SNARC effect has been debated and further research is necessary to better understand its contribution. The present study investigated how the order elicited by the context of the stimuli and by task demands interact. Across three experiments, we presented numbers in the context of a mobile phone keypad, an overlearned numerical display in which the ordinal position of numbers differs from the mental number line. The experiments employed three tasks with different levels of consistency with the order elicited by the context. In Experiment 1, participants judged numbers based on their spatial position on the keypad, and we found a spatial association consistent with the keypad configuration, indicating that the spatial association is driven both by the context and by the task when they consistently elicit the same order. In Experiment 2a, participants performed a magnitude classification task and results revealed a lack of spatial associations, suggesting a conflict between the orders elicited by the context and by the task. In Experiment 2b, participants performed a parity judgement task and the results revealed a SNARC effect, suggesting that the order elicited by the context did not modulate the spatial association. Overall, three different tasks gave rise to three different results. This shows that the context alone is not sufficient in modulating spatial-numerical associations, but that the consistency between the orders elicited by context and task demands is a key factor.

We hypothesize that behavioral patterns of people are reflected in how they interact with their mobile devices and that continuous sensor data passively collected from their phones and wearables can infer their job performance. Specifically, we study day-today job performance (improvement, no change, decline) of N=298 information workers using mobile sensing data and offer data-driven insights into what data patterns may lead to a high-performing day. Through analyzing workers' mobile sensing data, we predict their performance on a handful of job performance questionnaires with an F-1 score of 75%. In addition, through numerical analysis of the model, we get insights into how individuals must change their behavior so that the model predicts improvements in their job performance. For instance, one worker may benefit if they put their phone down and reduce their screen time, while another worker may benefit from getting more sleep.

Introduction A small body of research on the real-world use of commercially available partial driving automation suggests that drivers may struggle with or otherwise lapse in adequately monitoring the system and highway environment, and little is known about key issues such as how behavior associated with system use changes over time. The current study assessed how driver disengagement, defined as visual-manual interaction with electronics or removal of hands from the wheel, differed as drivers became more accustomed to partial automation over a 4-week trial. Methods Ten volunteers drove a Volvo S90 with adaptive cruise control (ACC), which automates speed and headway, and Pilot Assist, which combines ACC and continuous lane centering. Instrumentation captured automation use, secondary task activity, hands-on-wheel status, vehicle speed, and GPS location during all trips. Results The longer drivers used the Pilot Assist partial automation system, the more likely they were to become disengaged, with a significant increase in the odds of observing participants with both hands off the steering wheel or manipulating a cell phone relative to manual control. Results associated with use of ACC found comparable or lower levels of disengagement compared to manual driving as the study progressed. Discussion This study highlights concerns about vehicle control and the degree to which drivers remain actively in the loop when using automation. Calls for implementing more robust driver monitoring with partial automation appear warranted—particularly those that track head or eye position.

Statistics show that the global number of cars on the road will nearly double by the year 2040. The widespread use of cars prompts the search for new technologies and systems to ensure road safety, such as driving assistance systems, driver monitoring devices and driver training programs. For a number of these systems, driving maneuver recognition is a core function indispensable for correct operation. This paper addresses the problem of driving maneuver detection using smartphone sensors, especially accelerometers and gyroscopes. A framework based on a number of deep learning methods for maneuver classification and clustering was introduced. We studied 13 types of maneuvers. Three classifiers, each achieving good performance for recognizing the considered set of events, were selected, and their combination into an optimal set of classifiers was investigated. Our approach was tested on a real-world dataset, and achieved a good detection rate for 7 maneuvers with a balanced accuracy of 0.90 and an average F1 score of 0.71, which outperforms the other state-of-the-art recognition systems.

Nowadays, speech recognition has become one of the important technologies for human- computer interaction. Speech recognition is essentially a process of speech training and pattern recognition, which makes feature extraction technology particularly essential. The quality of feature extraction is directly related to the accuracy of speech recognition. Dynamic feature parameters can effectively improve the accuracy of speech recognition. These parameters make the speech dynamic feature extraction to have a higher research value. The traditional dynamic feature extraction method is easier to generate more redundant information, resulting in low recognition accuracy. Therefore, based on a new speech feature extraction method, which is based on deep learning for speech feature extraction, is proposed in the present study. Firstly, the speech signal is preprocessed by pre-emphasis, windowing, filtering, and endpoint detection. Then, the sliding differential cepstral feature (SDC) is extracted, which contains the voice information of the front and back frames. Finally, the feature is used as input to extract the dynamic features that represent the depth essence of speech information through the deep self-encoding neural network. The simulation results show that the dynamic features extracted by in-depth learning have better recognition performance than the original features, and have a good effect on speech recognition.

The study investigates the effects of e-learning as an alternative form of curriculum dissemination for rural Technical and Vocational Education and Training (TVET) college students. This study adopted connectivism theory, which enabled lecturers to reflect and adapt to how learning has changed and the accompanying implications of designing the spaces and structures to the current mode of learning. The researcher made use of two research methods to gather data; phone interviews and questionnaires. The data was analyzed using thematic analysis and the Statistical Package for Social Sciences (SPSS) Version 20.0, Office Word format. The results indicated that the unavailability of technological resources, lack of financial support from single parents’ side due to socio-economic factors, and child-headed families hinder the correct implementation of e-learning and make it difficult to reach its objectives.

Finding a small object (e.g., earbuds, keys or a wallet) in an indoor environment (e.g., in a house or an office) can be frustrating. In this paper, we propose an innovative system, called HyperEar , to localize such an object using only a single smartphone, based on enhanced time-difference-of-arrival (TDoA) measurements over acoustic signals issued from the object. One major challenge is the hardware limitations of a Commercial-Off-The-Shelf (COTS) phone with a short separation between the two microphones and the low sampling rate of such microphones. HyperEar enhances the accuracy of TDoA measurements by virtually increasing distances between microphones through sliding the phone in the air. HyperEar requires no communication for synchronization between the phone and the object and is a low-cost and easy-to-use system. We evaluate the performance of HyperEar via extensive experiments in various indoor conditions and the results demonstrate that, for an object of 7 m away, HyperEar can achieve a mean localization accuracy of about 15 cm when the object in normal indoor environments.

During power outages in power distribution systems, a framework to detect and locate faults and broken cables is required to promptly restore the power supply and, therefore, to mitigate continuity indexes degradation. In developing countries, such as Brazil, customers’ phone calls are usually the only way for the power distribution utility to become aware of a power outage. Researches on this matter have proposed meta-heuristics, artificial intelligence, and traveling waves-based methodologies. Currently, they are mostly based on a final specific technology, restricted to some monitoring devices. Such condition makes the proposed solutions unfeasible for immediate application to Brazilian distribution systems. This work presents the development of a robust Fault and Broken Cable Location framework (FBCL), successfully deployed at a Brazilian power distribution network. Two major guidelines are considered: (1) use of existing devices’ records through corporate systems integration and (2) aggregation of innovative smart devices devised under the R&D scope and destined to expand monitoring capability. Aside from assisting the distribution utility in locating conventional low-impedance faults, the FBCL framework can also locate high-impedance faults with broken cables, which is a major contribution to mitigate safety issues in distribution networks. Based on the case studies conducted, the FBCL accurately located faults and broken cable events, considering multiple combinations of monitoring conditions.

Background: The present study aimed at evaluating the effect of weekly phone calls on treatment outcomes and quality of life among a group of Iranian patients with rheumatoid arthritis (RA). Materials and Methods: In this randomized clinical trial study, 60 patients aged 15-85 with RA were randomly assigned to intervention and control groups. The intervention group, in addition to a monthly assessment on a weekly basis, received a full 3-month follow-up telephone conversation in order to follow the correct and regular use of the drug and respond to the patients’ questions. The control group was only evaluated routinely. Finally, the severity of the disease activity (based on DAS-28) and the quality of life (based on the SF-12 questionnaire) were evaluated after three months. Results: After three months from the onset of intervention, a significant reduction was observed in the number of tender joints, mean erythrocyte sedimentation rate (ESR), and total score of DAS-28 in the intervention group compared to the control group. In addition, after three months of treatment, the quality of life for the intervention group improved significantly more than that of the control group. Conclusion: A weekly phone call with the patients suffering from RA with the purpose to guide the therapeutic process and respond to the patients’ questions could positively improve the severity of the disease along with the quality of life among the patients.

Background: The universe of the research is the athletes of summer sports schools held in Elazig in 2021. The sample consists of the mothers of 669 randomly selected athletes from sports schools. Aim: The aim of the study is to examine the levels of gaming addiction according to the parental opinions of the students participating the 2021 Elazig Summer Sports Schools. Methods: In order to determine the demographic characteristics of the participants in the study, the personal information form(gender, age, school level, mother work status, child's tablet/phone ownership status), and an 18-item scale developed by Ulusoy (2019) was used. Analysis of the data in the research and the calculation of the results found were created through statistical programs in a computer environment. Frequency (f) and percentage (%) distributions of variables were calculated. The data were checked with skewness and kurtosis tests to determine whether they were normally distributed. As a result of these tests and controls, it was determined that the data of the research was parametric. Therefore, t test and variance analysis (Anova) test were used. The error level was taken as p

Parents, especially mothers are responsible for instilling the value of religious and social life in children, including adolescents through proper parenting. However, many parents choose to entrust the child completely to the school because it is busy with their work. This study aims to explain the parenting of working parents in instilling religious attitudes and respectful attitudes in adolescents, explain the factors that influence parenting, and explain the obstacles and solutions parents work in foster care. This study is a qualitative descriptive field study involving ten working parents. This research data is obtained through observation, interviews, and documentation. The results of this study found that the parenting used by sources is democratic parenting. Trust factors, comparison of parenting models, child gender, parental behavior, and character of children are factors that influence parenting in instilling religious attitudes and respectful attitudes in adolescents. In addition, there are obstacles in applying parenting, such as limited time together between parents and children because parents are busy working, child characters, mobile phones, child association, and social media. The solution in overcoming these obstacles is to be a good role model, make the best use of time to get to know the child's friendship environment, not only be a parent but can be a good friend and listener, and have to check the child’s phone.

The PhenX Toolkit (https://www.phenxtoolkit.org/) is an online catalog of recommended measurement protocols to facilitate cross-study analyses for biomedical research. An expert review panel (ERP) reviewed and updated the PhenX Toolkit Speech and Hearing domain to improve the precision and consistency of speech, language, and hearing disorder phenotypes. A three-member ERP convened in August 2018 to review the measurement protocols in the PhenX Speech and Hearing domain. Aided by three additional experts in voice assessment, vertigo, and stuttering, the ERP updated the 28 protocols to reflect the latest science and technology. ERP recommendations include six new protocols, five updated protocols (from the same source), and one retired protocol. New additions include two voice-related, three hearing-related, and two speech-related protocols. Additions reflect new phone/tablet applications for hearing and language, and clinical evaluations of voice. "Language" was added to the domain name, which is now "Speech, Language, and Hearing," to represent language-related protocols. These protocols can facilitate the assessment of speech, language, and hearing in clinical and population research. Common data elements (i.e., use of the same variables across studies) used by geneticists, otolaryngologists, audiologists, speech-language pathologists, and in other disciplines can lead to cross-study data integration and increased statistical power when studies are combined.

Model recognition of second-hand mobile phones has been considered as an essential process to improve the efficiency of phone recycling. However, due to the diversity of mobile phone appearances, it is difficult to realize accurate recognition. To solve this problem, a mobile phone recognition method based on bilinear-convolutional neural network (B-CNN) is proposed in this paper. First, a feature extraction model, based on B-CNN, is designed to adaptively extract local features from the images of secondhand mobile phones. Second, a joint loss function, constructed by center distance and softmax, is developed to reduce the interclass feature distance during the training process. Third, a parameter downscaling method, derived from the kernel discriminant analysis algorithm, is introduced to eliminate redundant features in B-CNN. Finally, the experimental results demonstrate that the B-CNN method can achieve higher accuracy than some existing methods.