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Luminescent materials with time‐resolved dynamic discoloring afterglow (TDDA) hold significant potential for applications in anti‐counterfeiting and data encryption. However, the afterglows coming from organic systems are usually unidentifiable due to their shorter durations (less than 10 s). Achievement of long‐lasting and visually discernible TDDA remains highly desirable but challenging. In this work, the TDDA duration is successfully extended from less than 10 s to minutes by engineering the luminescent centers of carbon dots (CDs) and introducing deep trap‐states in a composite of CDs and carbon nitrides (CNs) (named Y‐CDs@CN). It is confirmed that the regulation of luminescent centers in CDs containing both C═N and C═O bonds is responsible for the color changes during TDDA from yellow to green. Moreover, the generation of deep trap states is found to be significant for prolonging the afterglow duration to minutes level through converting room temperature phosphorescence into long persistent luminescence, thus making the entire dynamic discoloring process being easily recognized to naked eyes. Furthermore, the afterglow of Y‐CDs@CN can also be excited by blue light and even using white light of a cell phone. To harness these characteristics, potential applications of Y‐CDs@CN for portable anti‐counterfeiting and multidimensional information encryption are primarily investigated. [ABSTRACT FROM AUTHOR]

The use of SMS messaging for education has grown in recent years, with particular attention recently during the Covid‐19 pandemic. Mobile phones often have high levels of ownership in low‐income contexts compared to computers, and lower connectivity requirements, which arguably make this a more equitable medium than data‐heavy online instruction, for example. However, given that gender can be a factor to influence mobile device access and use, it is also important to consider educational applications through a gender lens, to avoid further exacerbating digital divides. In this paper, we present an analysis of server log and evaluation data in relation to a literacy‐focused initiative for primary‐aged learners carried out in Kenya as part of the Tusome programme and through the SMS‐based M‐Shule education platform, which does not require an Internet connection or smartphone to run. The extent of engagement with the platform varies according to gender and location within the country. The data also demonstrate a positive impact on learning outcomes regardless of learners' gender and location. Furthermore, the learning gains are shown to be relatively cost‐effective in comparison with educational technology interventions in similar contexts. The findings show that this low‐connectivity adaptive model has a positive impact on learning outcomes. It is a scalable approach to support a range of learners in Kenya, providing more support to learners who need it, and leading to increased foundational learning outcomes overall. As such, the findings will also be of highly relevant to other low‐connectivity contexts. Practitioner notes What is already known about this topic Mobile phones can be used as a means to support learning, through mobile learning and SMS, particularly in low‐connectivity contexts, although there is a lack of rigorous evidence of impact upon learning outcomes. Mobile phone device ownership tends to be higher than computer or wired Internet connections in many low‐income contexts. Software applications which adapt to the learners' level have shown good potential for gender‐equitable learning outcomes in low‐income contexts; however, these often require an Internet connection in addition to computers or tablets to be run on. What this paper adds There is a lack of contextually relevant evidence of the impact of SMS‐based mobile learning applications in low‐resource and low‐connectivity contexts upon learning outcomes. Through analysis of data generated via an experimental design, this study provides evidence that literacy materials delivered through an SMS‐based educational platform—M‐Shule—can have a positive impact upon learning outcomes. Furthermore, gains are equitable in terms of learners' gender, and location, within Kenya. Implications for practice and/or policy Mobile phones can be an effective way of reaching learners to provide additional educational support as part of existing education programmes in low‐connectivity environments. Learning gains using M‐Shule are evidenced as significant and relatively cost‐effective. Existing high‐quality learning materials developed in other media can be effectively adapted to SMS to reach learners particularly who are out‐of‐school or during periods of educational disruption. What is already known about this topic Mobile phones can be used as a means to support learning, through mobile learning and SMS, particularly in low‐connectivity contexts, although there is a lack of rigorous evidence of impact upon learning outcomes. Mobile phone device ownership tends to be higher than computer or wired Internet connections in many low‐income contexts. Software applications which adapt to the learners' level have shown good potential for gender‐equitable learning outcomes in low‐income contexts; however, these often require an Internet connection in addition to computers or tablets to be run on. What this paper adds There is a lack of contextually relevant evidence of the impact of SMS‐based mobile learning applications in low‐resource and low‐connectivity contexts upon learning outcomes. Through analysis of data generated via an experimental design, this study provides evidence that literacy materials delivered through an SMS‐based educational platform—M‐Shule—can have a positive impact upon learning outcomes. Furthermore, gains are equitable in terms of learners' gender, and location, within Kenya. Implications for practice and/or policy Mobile phones can be an effective way of reaching learners to provide additional educational support as part of existing education programmes in low‐connectivity environments. Learning gains using M‐Shule are evidenced as significant and relatively cost‐effective. Existing high‐quality learning materials developed in other media can be effectively adapted to SMS to reach learners particularly who are out‐of‐school or during periods of educational disruption. [ABSTRACT FROM AUTHOR]

The proliferation of mobile phones has generated vast quantities of cellular signaling data (CSD), covering extensive spatial areas and populations. These data, containing spatiotemporal information, can be employed to identify and analyze intercity transport modes, providing valuable insights for understanding travel distribution and behavior. However, CSD are primarily intended for communication purposes and are not directly suitable for transportation research due to issues such as low spatial precision, sparse sampling granularity, and lacking traffic semantic features. This article proposes a Hybrid model for identifying individual intercity transport modes based on CSD. Several multidimensional mobility features are proposed that extract interpretable motion characteristics from CSD. A preliminary transport mode probability judgment is made based on the mobility features. Then, the complete transport mode is confirmed considering the temporal continuity correlation of the entire trace. Experiments confirm the Hybrid model's superior precision in identifying transport modes over baseline models, with an average F1 score of 0.92, maintaining high accuracy across various trajectory lengths. This model would support further studying individual intercity travel behavior patterns, aiding transportation planning and operational management decisions using CSD. [ABSTRACT FROM AUTHOR]

The widespread adoption of mobile phones (MPs) presents the possibility of creating employment and self‐employment opportunities. Although several studies have documented the impact of MPs on income, the link between MP ownership and poverty reduction channeled by income diversification has not been fully explored. This paper aims to examine this relationship using nationally representative panel data and fixed effect models to account for confounding factors and unobserved heterogeneity. Results indicate that MP ownership is associated with increased income diversification, particularly through on‐farm and off‐farm self‐employment, as well as non‐earned income. This relationship is more pronounced in households with lower levels of education and deprived areas. In addition, owning a MP is also found to decrease poverty via income diversification. Therefore, policies aimed at enhancing access to mobile technologies could create a resilient income portfolio by decreasing transaction costs and improving market efficiency, ultimately mitigating poverty in rural regions. [ABSTRACT FROM AUTHOR]

Due to its widespread availability and spontaneity, moisture electricity generation (MEG) holds unique advantages in self‐powered systems. However, it faces challenges, including the limitations of relying on a single kind of power generation and insufficient output performance. Inspired by the mechanisms of water absorption of plants, this paper explores a light‐moisture coordinated electricity generating hydrogel (L‐MEGH) device with flexible, scalable, and highly efficient energy conversion performance, which is obtained through the UV polymerization of hydrophilic acrylamide (AAM) and phytic acid (PA) in the presence of photosensitizers. The obtained hydrogel demonstrates superior moisture absorption and remarkable electricity generation stability across a range of humidity conditions. Notably, the open‐circuit voltage (Voc) of the L‐MEGH increased from 0.675 to 0.838 V after the addition of photosensitizers (Erythrosin B, E) (the significant enhancement, up to 24%), and the short‐circuit current (Isc) reaching 635.543 µA. This L‐MEGH can realize stable electrical output even under extreme temperatures, producing 0.5 V at −20 °C for 45 h. The scalable L‐MEGHs (connected on‐demand in series/parallel) can power various commercial electronics, including nighttime illumination, mobile phones, and health monitoring sensors. This work pioneers a sustainable power generation pathway capable of enhancing performance through the hybrid collection of multiple natural energy sources. [ABSTRACT FROM AUTHOR]

Aim Methods Results Conclusion Paediatricians using instant messaging phone apps for informal medical discussions poses ethical and legal risks. We filled a gap in the research, by assessing the use of apps and the possible risks.A national, cross‐sectional, questionnaire study was conducted in Israel from 11 August to 20 November 2019. The frequency of informal discussions, clinical details and recommendations were compared to the paediatricians' expertise and work settings. The discussions included work and private phones, consultation with the parents of patients and advice to the paediatricians' friends and families.The 305 paediatricians who responded had a median age of 37 (range 27–74) years: 42% were residents and 58% were specialists. The majority (99%) had carried out informal discussions using a messaging app in the last week and 65% had used them for 1–5 discussions. Specialists were more likely to use apps for more than 10 discussions per week than residents (24% vs. 5%, p < 0.001) and recommend treatment via apps (35% vs. 22%, p < 0.001). A third failed to provide disclaimers about the risks of app‐based discussions.Using instant messaging apps for informal medical discussions was common, but ethical and legal aspects were not always fully considered. [ABSTRACT FROM AUTHOR]

ABSTRACT The positioning uncertainty of mobile phone location (MPL) data greatly influences location services and crowd behavior analysis. Although many achievements have been made in controlling its main sources (signal drift and ping‐pong effects), several problems, such as single‐oscillation patterns, insufficient position optimization, and a lack of effective evaluation, remain. In this study, a set of MPL data quality optimization methods are proposed. First, the characteristics of drift records and the oscillation patterns of ping‐pong records are discussed. The quality of the MPL data is subsequently controlled with the proposed feature‐based drift‐record detection method, complex oscillation pattern‐based ping‐pong‐record detection method, and cumulative duration weighting‐based ping‐pong‐record optimization method. These methods are applied to the MPL dataset of a major operator in Nanjing city, and the optimization effect is evaluated with GPS data collected synchronously. The results show that the proposed detection and optimization methods can effectively improve the accuracy of MPL data. [ABSTRACT FROM AUTHOR]

Afterglow materials have garnered significant interest due to distinct photophysical characteristics. However, it is still difficult to achieve long afterglow phosphorescence from organic molecules due to aggregation‐caused quenching (ACQ) and energy dissipation. In addition, most materials reported so far have long afterglow emission only at room or even low temperatures, and mainly use UV light as an excitation source. In this work, we report a strategy to achieve high temperature long afterglow emission through the assembly of isolated 0D metal‐organic cages (MOCs). In which, both ACQ and phosphorescence quenching effects are effectively mitigated by altering the stacking mode of organic chromophores through orthogonally anchoring into the edges of cubic MOCs. Furthermore, improvement in molecular rigidity, promotion of spin‐orbit coupling and broadening of the absorption range are achieved through the MOC‐engineering strategy. As a result, we successfully synthesized MOCs that can produce afterglow emission even after excitation by WLEDs at high temperatures (380 K). Moreover, the MOCs are capable of generating afterglow emissions when excited by mobile phone flashlight at room temperature. Given these features, the potential applications of MOCs in the visual identification of explosives, information encryption and multicolor display are explored. [ABSTRACT FROM AUTHOR]

Background Methods Results Conclusions We developed MARVIN, an artificial intelligence (AI)‐based chatbot that provides 24/7 expert‐validated information on self‐management‐related topics for people with HIV. This study assessed (1) the feasibility of using MARVIN, (2) its usability and acceptability, and (3) four usability subconstructs (perceived ease of use, perceived usefulness, attitude towards use, and behavioural intention to use).In a mixed‐methods study conducted at the McGill University Health Centre, enrolled participants were asked to have 20 conversations within 3 weeks with MARVIN on predetermined topics and to complete a usability questionnaire. Feasibility, usability, acceptability, and usability subconstructs were examined against predetermined success thresholds. Qualitatively, randomly selected participants were invited to semi‐structured focus groups/interviews to discuss their experiences with MARVIN. Barriers and facilitators were identified according to the four usability subconstructs.From March 2021 to April 2022, 28 participants were surveyed after a 3‐week testing period, and nine were interviewed. Study retention was 70% (28/40). Mean usability exceeded the threshold (69.9/68), whereas mean acceptability was very close to target (23.8/24). Ratings of attitude towards MARVIN's use were positive (+14%), with the remaining subconstructs exceeding the target (5/7). Facilitators included MARVIN's reliable and useful real‐time information support, its easy accessibility, provision of convivial conversations, confidentiality, and perception as being emotionally safe. However, MARVIN's limited comprehension and the use of Facebook as an implementation platform were identified as barriers, along with the need for more conversation topics and new features (e.g., memorization).The study demonstrated MARVIN's global usability. Our findings show its potential for HIV self‐management and provide direction for further development. [ABSTRACT FROM AUTHOR]

Summary: The experienced doctors can alleviate symptoms such as headaches, insomnia, anxiety, and depression by observing the patient's ears and massaging specific areas. In order to achieve remote ear condition diagnosis and guide patients to massage their ears independently through the network, patients can use their mobile phones to take and send photos of ears to doctors. However, due to significant differences in the clarity of photos taken by different mobile phones, as well as susceptibility to haze, lighting, jitter, and low pixels, the quality of photos is poor, which affects the accuracy of remote diagnosis by doctors. This study adopted an image preprocessing method based on He Kaiming's dark channel prior dehazing method to enhance the original ear images captured by mobile phones. The dehazing algorithm was used to remove the haze effect of the ear images, improving image quality and contrast, making the wrinkles, protrusions, pigmentation and other areas of the ear more obvious. The experiment has showed the comparison by adjusting weight from 15% to 95% between two methods—dark channel prior method and the dark channel prior method after preprocessing, which has proven the effectiveness of dehazing method in human ear images taken by mobile phones. The image quality after preprocessing and dehazing is widely recognized and accepted by doctors at hospitals in Hangzhou, China. [ABSTRACT FROM AUTHOR]

Introduction: Center‐based rehabilitation is limited by COVID‐19 infectivity and social distancing policy. We hypothesized that discharged patients benefit from 8‐week home‐based tele‐rehabilitation (tele‐PR) using mobile phones and low‐cost instruments. Methods: The TERCOV (Tele‐rehabilitation in COVID‐19 survivors) is an investigator‐initiated, prospective, multi‐center, real‐world study. After proper assessment, 186 discharge patients received tele‐PR by smartphone, including breathing exercise, respiratory muscle training, aerobic exercise, and resistance training. Physicians, physiotherapists, and nurses provided guidance through smartphone applications. The primary outcome was six‐minute walk distance (6MWD). The secondary outcomes included hand grip, short physical performance battery, maximal inspiratory pressure, maximal expiratory pressure, self‐rating anxiety/depression scale (SAS/SDS), 36‐item short‐form health survey (SF‐36) and international physical activity questionnaire. Results: Dyspnea subgroups were more functionally impaired. After tele‐PR, improvements were observed in exercise capacity(∆6MWD: 16.80 m, 95% CI 1.18–32.42, p < 0.0001), limb muscle function (∆SPPB 0.25 points, 95% CI 0.05–0.46), respiratory muscle strength (∆MIP 16.50 cm H2O, 95% CI 9.22–23.78, p < 0.0001; ∆MEP: 12.09 cm H2O, 95% CI 3.48–20.70, p = 0.0002), health‐related quality of life (∆SF‐36 49.85, 95% CI: 21.01–78.69, p < 0.0001), physical activity(∆HEPA 13.01%, p = 0.0029). Anxiety reduced in patients with mMRC ≥ 2 (∆SAS = −4.19 points, CI −8.16 to −0.22, p = 0.03). Greater change was seen in dyspnea patients. Implications on Physiotherapy Practice: Supervised/semi‐supervised tele‐PR is a promising option during the pandemic. Patients with Dyspnea benefit more. [ABSTRACT FROM AUTHOR]

Intersectionality has gained a great deal of academic purchase within the social sciences but there is still a need for further conceptual and methodological innovation and clarity. As such, this study uses paid domestic labour as a case study to apply Billig et al.'s (Ideological dilemmas: A social psychology of everyday thinking, 1988) notion of ideological dilemmas to explore the common sense that paid domestic workers draw on to position themselves as women and workers. The analysis highlights how participants use (often contradictory) themes of common sense when speaking about their place in the household through dilemmas of servitude, belonging, and intimacy. Speakers draw on gendered ideology, not as a fixed set of ideas, but rather as a mobile discursive resource that can be deployed in situ, allowing them to justify, subvert, and evaluate social positions of domestic womanhood. The study provides both a conceptual window and a robust method for studying nonessentialist intersectionality through ideological dilemmas. [ABSTRACT FROM AUTHOR]

Child externalising problems, such as acting out and hostility, have been found to be significant stressors for parents, leading to increased distress levels. This cross‐sectional study examined the mediating role of parents' use of mobile phones to soothe or engage children in the association between child externalising problems and distress in parents. Altogether 937 parents of children aged 5–12 reported their child's externalising problems, child's mobile phone use, and their distress through an online survey. The findings indicated that parents of children with high externalising problems are more likely to use mobile phones to soothe their children and keep them engaged in daily activities, which, in turn, is associated with higher distress in parents. Child externalising problems and distress in parents remained significantly and positively associated even after accounting for the mediating effect. The results highlight the child‐driven effect on distress in parents through parenting behaviours, indicating the importance of providing alternative parenting strategies to cope with child externalising behaviours, in order to promote parental emotional well‐being. [ABSTRACT FROM AUTHOR]

The phenomenon of nomophobia, defined as the anxiety experienced when a person is without their mobile phone or is unable to use it, has been identified as having serious negative effects on individuals, particularly students. Previous research has explored the relationship between personality traits and nomophobia, but the findings have been inconclusive. The main objective of this study was to classify personality types through latent class analysis and explore the relationship between these personality types and nomophobia. The Chinese version of the Nomophobia Scale and the Chinese brief version of the Big Five Personality Inventory were used in this study to survey 1906 Chinese college students. The results indicated that (1) a four‐class model provided the best fit and categorized the personality traits as the overcontrolled class, resilient class, moderate class, and vulnerable class; (2) significant differences were observed between the four personality types and nomophobia, with overcontrolled and resilient personality types consistently scoring significantly lower than moderate and vulnerable personality types. Our finding highlights the key feature of the study. [ABSTRACT FROM AUTHOR]

Objective: Cervical cancer is the leading cause of cancer in low‐ and middle‐income countries, despite being preventable. Uganda, which lacks an effective screening program, has one of the highest global cervical cancer incidence rates. Mobile health (mHealth) technology has the potential to improve healthcare‐seeking behaviors and access. The present study describes the connection between mobile phone access and healthcare‐seeking behaviors in rural Uganda. Methods: Women were eligible for this cross‐sectional study if they had no prior screening or treatment for cervical cancer in the past 5 years, were aged 30 to 49 years old, and were residents of the South Busoga Forest reserve. Survey data was analyzed using descriptive statistics and chi‐square tests. Results: Of the 1434 participants included in the analysis, 91.4% reported having access to a mobile phone. Most respondents were aged 30–40 years, had a partner, had ≤primary education, and were farmers. Participants with mobile phone access were significantly more likely to report attending a healthcare outreach visit (access = 87.3%, no access = 72.6%, P < 0.001) or visiting a health center (access = 96.9%, no access = 93.5%, P < 0.001). Participants in both groups had largely positive attitudes around and good knowledge of cervical cancer screening. Conclusion: While attendance to healthcare services was high amongst participants, those with mobile phone access were more likely to seek healthcare services. Further inquiry into this association between mobile phone access and healthcare‐seeking behavior is needed to optimize the improvements to cervical cancer screening when implementing interventions such as mHealth technology. Synopsis: The majority of women in Malongo had engaged with health services; however, women with mobile phone access were more likely to utilize health services. [ABSTRACT FROM AUTHOR]

In 2022, approximately 90% of the entire population in Taiwan actively used social media. Although several studies have examined emotional changes among social media users in Taiwan, the endogeneity problem stemming from reverse causality has not been recognized and properly addressed. Therefore, this study examines the effect of social media usage on negative emotions using 'the frequency of using mobile phones as opposed to landline phones' and 'the frequency of using the Internet to run errands' as instrumental variables for social media usage. Using data collected from the 2017 'Taiwan Social Change Survey', our estimation results showed that Facebook usage significantly increased the frequency with which users experienced negative emotions, including envy, feelings of inferiority, and depression. The findings suggested that the negative emotions caused by social comparison via social media likely outweighed the happiness derived from social media, resulting in Facebook users experiencing more negative emotions. One important implication of our study is that reducing social media usage can alleviate mood swings. [ABSTRACT FROM AUTHOR]

This paper aims to map daily mobility to work and services within the suburban zone of Prague and to explain temporal changes in the structuration of the suburban zone during the day. This involves the identification of local centres outside Prague's administrative boundaries, defining their catchment areas, and exploring the temporal variability of daily mobility. Using mobile phone data, the paper identifies the main flows of commuting to work and mobility for services or leisure activities. The focus on two distinct timeframes presented in two synthetic maps compares the mobility patterns of these activities. Empirical findings identify 53 local centres of inter‐suburban mobility and delimitate their commuting areas. Noticeable variation in mobility patterns throughout the day was observed. Beyond empirical insights relevant to Prague and similar Central and Eastern European cities, the paper contributes to theoretical knowledge by introducing a hierarchical classification of mobility relationships within metropolitan areas. [ABSTRACT FROM AUTHOR]

To broaden the applications of yttria‐stabilized zirconia (YSZ) in mobile phone back panels and high‐end decorative materials, the 3 mol% YSZ (3YSZ) ceramics doped with erbium oxide (Er2O3) as colorant were successfully sintered at 1250 and 1350°C in air. The influences of Er2O3‐doping concentration and sintering temperature on the phase, microstructure, color, and mechanical properties of the pink Er2O3‐3YSZ ceramics were investigated. As the Er2O3 concentration increased, the redness value a* gradually increased, while the yellowness value b* and the lightness value L* gradually decreased. The highest value a* and b* of Er2O3‐3YSZ ceramics reached absolute values of 15.2 and 4.5, respectively. The effect of Er2O3 concentration is also depicted in detail, which also affects the mechanical properties including hardness and fracture toughness of the ceramics. The maximum hardness and fracture toughness of Er2O3‐3YSZ ceramics reached 13.9 ± 0.3 GPa and 6.21 ± 0.20 MPa·m1/2, respectively. The hardness of the ceramics exceeds 12.5 GPa, which is the required market index for further practical application. This work provides a method for preparing 3YSZ ceramics with excellent mechanical properties and bright pink color, which has the potential to be used in the fields of advanced and superior electronics in particular. [ABSTRACT FROM AUTHOR]

Background: Tele‐dentistry can be useful for dental caries screening of children, especially in lower‐middle‐income countries (LMICs). Aim: To evaluate the diagnostic accuracy of mobile phone photographs taken by a community health worker (CHW) for caries detection in Iran. Design: Children aged 6–12 years were visually examined by a paediatric dentist. Following dental examinations, intraoral photographs were taken by a trained CHW. Two remote dentists assessed intraoral photographs for dental caries. Diagnostic accuracy of tele‐dentistry for caries detection was evaluated. In addition, the questionnaire about oral health and parents' views towards tele‐dentistry was prepared. Results: One hundred thirty‐one children aged 8.74 ± 1.62 years participated. The caries prevalence was 30% for the whole dentition. Tele‐dentistry demonstrated high accuracy, with a sensitivity exceeding 80% and specificity exceeding 90%. The inter‐rater reliability for remote dentists' assessments to the gold standard dental examination ranged from substantial to almost perfect (kappa: 75%–93%). Additionally, 80% of parents whose children participated in this study had positive views towards tele‐dentistry. Conclusion: Tele‐dentistry was shown to be an alternative approach to clinical examinations for caries detection among school children. Employing non‐dental care professionals in tele‐dentistry has been emerged as a reliable and cost‐effective approach, especially in LMICs. [ABSTRACT FROM AUTHOR]

Complex systems often operate in equilibriums that can be disrupted under specific conditions, driving the system to undergo an irreversible phase transition (aka tipping point) into a new equilibrium. Disruptive technology, as introduced in the book Innovator's Dilemma, is a new emerging technology that can successfully displace incumbent technologies and push the market through phase transition into a new equilibrium. In this paper, the authors model the market disruption caused by a disruptive technology as a complex system, with dynamics that show a phase transition or tipping point, after which the system shifts into a new equilibrium aiming at assessing the success or failure of a disruptive technology. The purpose of this study is to mathematically model a tipping point measure of complex networks and a theoretical framework for disruptive technology dynamics. A predator–prey model is used to emulate the behavior of a disruptive technology versus an incumbent technology, and a resilience index is integrated to measure the tipping point in the market where the disruptive technology will overtake the incumbent technology. This methodology is applied to a historical case study of film versus digital versus cell phone cameras, demonstrating the application of this methodology. The study's contribution can be applied to both systems engineering and disruptive innovation management. The proposed approach can help stakeholders assess the impact of a potential new disruptive technology and use the resulting resilience index as a measurement for adjusting technology requirements and systems management approaches to achieve a desired outcome. [ABSTRACT FROM AUTHOR]

Summary: Voice services have progressed significantly since the launch of mobile phones and have evolved from analog technology to digital ones. Since the launch of 5G, voice over 5G (Vo5G) will slowly take over legacy mobile technologies to provide better voice services. Nevertheless, interruptions and noise will continue to affect speech communication over wireless networks, ensuing in a reduced Quality of Service (QoS). Three enhanced transmission schemes for Vo5G are proposed. The first proposal benefits from the difference in weight of the bits of internet Low Bitrate Code (iLBC) coded packets to offer them diverse degrees of protection i.e. Unequal Error Protection (UEP). UEP enhances the reception quality by allowing the more significant bits to be decoded with greater reliability during 5G transmission. The second and third schemes substitute the usual Quadrature Amplitude Modulation (QAM) constellation with a Statistical QAM (SQAM) one. The second scheme arranges the significant bits on the SQAM constellation and the remaining bits onto the conventional QAM arrangement. For the third scheme, all the bits are arranged on the SQAM constellation. Generative Adversarial Networks (GAN) were incorporated into the third scheme as the third scheme provided better gains over the first and second schemes. GAN was used to synthesize and enhance parts of the speech file that were lost during transmission over the 5G channel resulting in a gain in Segmented Signal to Noise Ratio (SSNR). The addition of GAN boosted the gain obtained by the third scheme by 1.45 dB with 16‐QAM at a code rate of 1/3. [ABSTRACT FROM AUTHOR]

Understanding individual's socioeconomic status (SES) can provide supporting information for designing political and economic policies. Acquiring large‐scale economic survey data is time‐consuming and laborious. The widespread mobile phone data, which can reflect human mobility and social network characteristics, has become a low‐cost data source for researchers to infer SES. However, previous studies often oversimplify human mobility features and social network features extracted from mobile phone data into general statistical features, resulting in discounting some important temporal and relational information. Therefore, we propose a comprehensive framework for individual SES prediction that effectively utilizes a combination of human mobility and social relationships. In this framework, Word2Vec module extracts human mobility features from mobile phone positioning data, and graph neural network (GNN) module GraphSAGE captures social network characteristics constructed from call detail records. We evaluated the effectiveness of our proposed approach by training the model with real‐world data in Beijing. According to the experimental results, our proposed hybrid approach outperformed the other methods evidently, demonstrating that human mobility and social links are complementary in the characterization of SES. Coupling human mobility and social links can further deepen our understanding of cities' economic geography. [ABSTRACT FROM AUTHOR]

Aim: No studies have examined notifications as they relate to parent stress. We aimed to examine associations between objective daily mobile device notifications and pickups with daily parenting stress. Methods: This was a within‐ and between‐subjects, cross‐sectional study that took place from 2020 to 2021. The study occurred during the coronavirus disease of 2019 pandemic. Data were collected in a low‐contact home visit. This study included 62 parents of 62 children aged 48–71 months. Parents downloaded a passive sensing app on their Android mobile devices collecting data on duration, device notifications and device pickups. Parents completed an end‐of‐day stress survey for 4 days. We used random effects models to examine the variation of daily stress with smartphone duration, notification frequency, pickup frequency and device‐initiated pickups, adjusting for covariates. Results: Parents were on average 37.3 years old (SD ± 5.7) and were predominantly mothers (82.3%). On average, parents received 293 daily notifications and picked up their phones 93 times. Duration of smartphone use and notification frequency were not associated with daily stress. Device‐initiated pickups were associated with daily parent stress. Conclusion: When notifications prompted parents to pick up their phones more often, parents experienced greater stress. [ABSTRACT FROM AUTHOR]

E‐government services are often heralded as a silver bullet for governments willing to engage more meaningfully with citizens. Evidence on the effectiveness of these measures for improving citizen‐state relations is scarce, however. Most studies examining e‐government focus on efficiency considerations; few consider potential effects on citizen‐state relations. The present study analyses the effect of an information treatment about the availability of e‐government services on citizen perceptions of government responsiveness. We conducted an experiment in cooperation with the Botswana Unified Revenue Service that randomly assigned registered taxpayers to receive a short message on their mobile phones. Our results indicate that the treatment has a significant, positive effect on the perception that the government addresses citizen needs, and more so for respondents with lower income. The findings suggest that, by affecting how citizens assess political realities, e‐government can play an important role in shaping citizen‐state relations. [ABSTRACT FROM AUTHOR]

Introduction: Left‐behind children are a special group that needs urgent attention. Due to enduring separation from their parents, loneliness is considered the most common and prevalent developmental hurdle in the experiences of left‐behind children. This longitudinal cross‐lagged study examined the direction of the association between loneliness and both internalizing and externalizing symptoms, with considering gender and left‐behind status differences. Methods: A total of 1175 rural Chinese children (48.3% boys, 39.9% left‐behind children, Mage = 14.54 ± 1.18 at baseline) completed self‐reported loneliness, social anxiety, and mobile phone addiction at two‐time points with 6 months intervals. Descriptive statistics, cross‐lagged panel analysis, and multiple group analysis were estimated in the present study. Results: Loneliness exacerbated social anxiety and mobile phone addiction, and vice versa. In addition, gender and left‐behind status moderated these relationships, with boys more likely to be mobile phone addicted due to loneliness and girls more likely to be lonely due to mobile phone addiction. More importantly, left‐behind children with loneliness are more prone to social anxiety and mobile phone addiction, and vice versa, compared with non‐left‐behind children. Conclusions: The targeted interventions should be carried out for different genders and left‐behind statuses. Particularly for left‐behind children, neglecting to address both the symptoms of loneliness and both social anxiety and mobile phone addiction could significantly undermine the efficacy of intervention programs that solely target either one of these afflictions. [ABSTRACT FROM AUTHOR]

This paper examines the impact of access to electricity on financial development. In doing so, we use a number of instrumental variables (IV) approaches. Using panel data for 38 countries in Sub‐Saharan Africa over the period 2000–2018, the results suggest that more people having access to electricity can promote financial development. In addition, mobile phone and commercial bank branches diffusion serve as potential channels through which access to electricity affects financial development. Our results are robust to sample‐splitting and different estimation techniques. The results have important implications for policies in overcoming barriers to electricity access. [ABSTRACT FROM AUTHOR]

Summary Arousal is a central component of many emotional symptoms and can contribute to insomnia. Here we assessed how the timing and fluctuating nature of arousal‐related symptoms over the course of the day relate to insomnia symptom severity. In this study, 361 participants (M age = 31.9 years, 282 women, 77 men, 2 non‐binary individuals) completed the Insomnia Severity Index to assess severity of insomnia symptoms, followed by repeated ratings of anxiety or nervousness, stress, sleepiness, and feeling down via their mobile phone between ~08:00 hours and 00:00 hours across 1 day. Measures of dynamics included: mean levels across the day; variation (standard deviation); instability (mean squared successive differences); and resistance to change/inertia (first‐order autocorrelation). Time‐of‐day patterns were modelled using generalized additive mixed effects models. Insomnia symptom severity (mean Insomnia Severity Index = 9.1, SD = 5.2, range 0–25) was associated with higher mean levels of all arousal‐related symptoms, and increased instability and variation throughout the day in anxiety or nervousness, stress, and feeling down. Resistance to change (inertia) was not associated with insomnia symptom severity. Generalized additive mixed effects analyses showed that while individuals with more severe insomnia symptoms had elevated symptoms across the entire day, they were especially more anxious or nervous and sleepy in the early morning (~08:00 hours), anxious or nervous, stressed and sleepy in the late afternoon/early evening (~16:00 hours–21:00 hours), and anxious or nervous and stressed in the late evening (~22:00 hours). Remarkably, higher arousal occurred in the presence of high subjective sleepiness. Together these results indicate that insomnia symptom severity is associated with problems with daytime and evening arousal regulation. [ABSTRACT FROM AUTHOR]

Summary: Social media usage in mobile phones has increased substantially in recent times, and they are a critically important source of a forensics investigation. In this paper, we have developed Python‐based forensic analyzers that are integrated with the open‐source tool Autopsy. The proposed analyzers find forensic artifacts from the three most widely used social media messaging applications, that is, WhatsApp, Instagram, and Facebook Messenger. This research focuses on finding forensic artifacts stored by these social media applications on an iOS device. These analyzers extract data critical for a forensic investigation such as text messages, media attachments, sender and receiver details, timestamps, contact information, and other related forensics data from the full file system image of iOS devices. These Python‐based plugins extract the required data from the social media applications' databases and present the evidential artifacts in a human‐readable format. We integrated these analyzers into the Autopsy Forensics tool and showcased the gathered evidence so that investigators are capable to analyze the extracted information effortlessly. The data integrity is maintained by converting it into readable form without permanently altering the database format. The results prove that the proposed analyzers can successfully extract and analyze forensics data at a low computational overhead. [ABSTRACT FROM AUTHOR]

The concept of a location's irreplaceability pertains to its unique characteristics that make it challenging for other locations to replace in terms of providing services and meeting needs. While scholars have shown great enthusiasm for studying location irreplaceability, accurately measuring it and understanding the effects of urban form have not been thoroughly explored through empirical research. This study selects Shenzhen, China, as the study area. First, the I‐index, which focuses on geographic flow, is utilized to measure the location's irreplaceability using mobile phone data. Subsequently, the factors related to urban form are analyzed from the perspectives of demography, building capacity, public services, and the location's conditions. Finally, a geographically and temporally weighted regression model (GTWR) is constructed to explore the spatiotemporal relationships between irreplaceability and urban form. The study demonstrates that the I‐index, considering flow volume and distance, can effectively measure the location's irreplaceability. The results of GTWR indicate that the location's irreplaceability and its influencing factors exhibit spatiotemporal heterogeneity. This study advances our understanding of the relationships between location irreplaceability and urban form both conceptually and methodologically. The findings have practical implications for urban design and planning, including urban space optimization, facility equity, and the alleviation of traffic congestion. [ABSTRACT FROM AUTHOR]

Today, ion‐exchanged or chemically strengthened glass is ubiquitously used all over the world, typically for scratch‐free display cover of personal mobile phones. It has been known that the strengthening is due to developments of high compressive stress in the surface layer by its internally constrained dilation. We investigated micro‐scale mechanical properties of the surface layer itself of a Na+‐to‐K+ ion‐exchanged soda lime silicate glass, revealing that the strength of the layer increased nearly 40% by the ion‐exchange with little compression effect from the interior. The fracture toughness, however, was comparable before and after the ion‐exchange, indicating that the ion‐exchange reduces the crack size of the fracture origin. Theoretical estimates of fracture surface energies verified the measured fracture toughness. It was presumed that the observed crack‐size reduction is due to crack healing effects enhanced by the ion‐exchange. [ABSTRACT FROM AUTHOR]

Background: The high maternal and neonatal mortality rate in sub‐Saharan Africa could be reduced by using navigation by means of mobile devices to increase the number of women who choose to give birth in a health center (HC) with a skilled healthcare practitioner. Methods: A quasi‐experimental design was used to test a midwife‐delivered navigation by means of mobile phone. A total of 208 women were randomized to two groups (intervention and control). Women in the intervention group received up to three navigation calls from midwives. Women in the control group received usual antenatal education during prenatal visits. Data were collected using semistructured questionnaires. Childbirth location was determined through medical records. Results: Overall, 180 (87%) women gave birth in a HC with a 3% advantage for the intervention group. A total of 86% (88/102) of the control group gave birth in a HC versus 89% (92/103) for the intervention group (Χ2 = 0.44, p‐value = 0.51), with an unadjusted odds ratio of 1.33 (95% CI: 0.57, 3.09). Among those with personal phones, 91% (138/152) had a birth in a HC versus 79% (42/53) in those without a personal phone (Χ2 = 4.89, p‐value = 0.03). Conclusions: The results of this study indicate that it is feasible to deliver phone‐based navigation to support birth in a HC; personal phone ownership may be a factor in the success of this strategy. [ABSTRACT FROM AUTHOR]

In the AMOLED display, many factors affect the user's visual perception, such as color ratio, refresh rate and drive ability of array circuit, pixel density and so on. In the past, the primary idea to improve the precision and smoothness of the display quality is to increase the pixel per inch (PPI) and optimize the sub pixel rendering (SPR) algorithm between pixel units. At present, the PPI has gradually stabilized at 400+ grade for mobile phone display, and the IC driver algorithm corresponding to the pixel arrangement of each panel factory has also stabilized gradually, therefore, more efforts are needed to optimize the pixel arrangement itself to further improve the quality of display panel without taking into account the above two factors. Bear this in mind, we systematically summarized the common pixel patterns to extract the key characteristics of pixel arrangement benefited to the display quality by simulating and analyzing the display effect, and then put forward several suggestions for the subsequent pixel arrangement design. [ABSTRACT FROM AUTHOR]

This study introduces a super‐fast and precise simulation algorithm capable of generating human‐visible moiré patterns, taking into account real structures with diverse patterns. The simulation of entire area of a mobile phone screen can be completed in less than 10 minutes, demonstrating a remarkable efficiency improvement of approximately 1200‐fold compared to traditional ray tracing method. The improvement comes from that we use a simplified method of calculating geometric areas instead of the first‐principles approach used in ray tracing. Based on the proposed algorithm, the moiré patterns ofAoD are optimized and the display quality is guaranteed. [ABSTRACT FROM AUTHOR]

Introduction: The Patient Reported Outcomes, Burdens, and Experiences (PROBE) questionnaire is a patient‐reported outcome tool that assesses quality of life and disease burden in people with haemophilia (PWH). Aim: To assesses the test–retest reliability of PROBE when completed using the mobile phone application. Methods: We recruited PWH, including carriers, and individuals with no bleeding disorders who attended haemophilia‐related workshops or via social media. Participants completed PROBE three times (twice on the app: T1 and T2, and once on the web, T3). Test–retest reliability was analysed for T1 versus T2 (app to app, time period one) and T2 versus T3 (app to web, time period two). Results: We enrolled 48 participants (median age = 56 [range 27–78] years). Eighteen participants (37.5%) were PWH and seven (14.6%) were carriers. On general health domain questions, we found almost perfect agreement, except for a question on the frequency of use of pain medication in the last 12 months [Kappa coefficient (κ).72 and.37 for time period one and two, respectively] and any use of pain medications (κ.75) for time period two. For haemophilia‐related questions, we found substantial to perfect agreement, except for the questions on the number of joint bleeds in the previous 6 months for time period one (κ.49) and the number of bleeds in the previous two weeks for time period two (κ.34). Conclusions: The results demonstrate the reliability of the PROBE app. The app can be used interchangeably with the paper and web platforms for PROBE administration. [ABSTRACT FROM AUTHOR]

There is currently limited information regarding the levels of infection and distribution of sarcoptic mange in the wombat population throughout Australia. We analyzed cases of sarcoptic mange in bare‐nosed wombats reported into WomSAT, a website and mobile phone application where citizen scientists can upload sightings of wombats, burrows, and sarcoptic mange status. We used Maxent software to predict locations and the environmental factors associated with sarcoptic mange occurrence in bare‐nosed wombats. A total of 1379 sarcoptic mange‐infected and 3043 non‐sarcoptic mange‐infected wombats were reported by 674 and 841 citizen scientists, respectively. Of all the wombats reported to WomSAT from 2015 to 2019, 31.2% were infected with sarcoptic mange. Sarcoptic mange in bare‐nosed wombats was reported in 502 suburbs across four states. New South Wales had the highest number of sarcoptic mange cases reported to WomSAT. There was no statistically significant seasonal variation of sarcoptic mange levels in bare‐nosed wombats. The model showed that Euclidean distance to urban areas was the highest contributing factor for sarcoptic mange occurrence. As distance to urban areas decreased, the suitability for sarcoptic mange increased. Annual precipitation was the next contributing factor in the model, with higher rainfall of 400–700 mm correlating to an increase in sarcoptic mange occurrence. As the data collected to date have provided the largest‐scale contemporary distribution of sarcoptic mange in wombats, data should continue to be collected by citizen scientists as it is an easy and low‐cost method of collecting data over large areas. We suggest targeting the identified hotspot areas and more site‐specific studies for studying and mitigating sarcoptic mange in bare‐nosed wombats. [ABSTRACT FROM AUTHOR]

The HIV/AIDS pandemic is a global issue that has unequally affected several countries. Due to the complexity of this condition and the human drama it represents to those most affected by it, several fields have contributed to solving or at least alleviating this situation, and the information systems (IS) field has not been absent from these efforts. With the importance of antiretroviral therapy (ART) as a starting point, several initiatives in the IS field have focused on ways to improve the adherence and effectiveness of this therapy: mobile phone reminders (for pill intake and appointments), and mobile interfaces between patients and health workers are popular contributions. However, many of these solutions have been difficult to implement or deploy in some countries in the Global South, which are among the most affected by this pandemic. This paper presents one such case. Using a case‐study approach with an extreme‐case selection technique, the paper studies an m‐health system for HIV patients in the Kalangala region of Uganda. Using Heeks' design—reality gap model for data analysis, the paper shows that the rich interaction between social context and technology should be considered a central concern when designing or deploying such systems. [ABSTRACT FROM AUTHOR]

Waste PCBs the core of e‐waste is rich in copper, tin, zinc, iron, and nickel. Leaching base metals from PCB used to be done in toxic, corrosive acidic/alkali mediums. In this work, an environmentally friendly method for leaching metals from thermally treated PCBs (TPCBs) of mobile phones was proposed using choline chloride based deep eutectic solvents (DES). DES selectivity and solubility of metals from metal oxides were the main screening criteria. FA−ChCl had the maximum solubility of Cu, Fe, and Ni, while Urea−ChCl had high Zn selectivity and solubility. Oxalic acid has high selectivity for Sn. FA−ChCl extracted Cu and Fe best at 16 h, 100 °C, and 1/30 g/mL. Urea−ChCl extracted Zn (90.4±2.9 %) from TPCBs at 100 °C, 21 h, 1/20 g/mL, and 400 rpm. Oxalic acid (1 M) removed 92.3±2.1 % Sn from TPCBs in 1 h at 80 °C and 1/20 g/mL. The shrinking core model‐based kinetic investigation of FA−ChCl for Cu extraction showed a diffusion‐controlled process. The proposed method is greener than mineral acids utilized for metal extraction. [ABSTRACT FROM AUTHOR]

The number of deaths owing to tropical cyclones in Bangladesh has significantly reduced. Category 4 Cyclone Gorky in 1991 and Sidr in 2007 caused 147,000 and 4,500 deaths respectively, whereas Category 1 Cyclone Mora in 2017 resulted in six. Face‐to‐face interviews with 362 residents, participant observation, and focus‐group discussions answer a research question about how change in coastal areas has contributed to this outcome. The study considered institutional approaches of disaster risk management through legal frameworks, administrative arrangements, cyclone preparedness activities, cyclone detection and early warning dissemination, construction of shelter centres, strengthening of various types of coastal embankments, paved roads, and pre‐cyclone evacuation. The findings indicate significant improvement in house structures and design, income levels and diversification, education, awareness, individual capacity, poverty reduction, and lowering dependency on agriculture‐based earning. Furthermore, the availability of mobile telephones, radio, television, and social media platforms enhanced social connectivity and greater gender equality and empowerment helped to facilitate disaster preparedness, evacuation, and response. [ABSTRACT FROM AUTHOR]

In the post‐pandemic era, tourism has emerged as the most popular form of recreation in densely populated areas, driven by the pursuit of improved quality of life and the younger generation's growing enthusiasm for connecting with nature or history. Accurate measurement of the accessibility of tourist attractions has become crucial due to this trend. However, existing methods for measuring accessibility, such as the widely used two‐step floating catchment area (2SFCA) method, show limitations in multi‐modal transport networks as it overlooks multi‐modal travels and assumes uniform access for each transport mode within the catchment area. In this article, we present a novel multi‐modal network‐based two‐step floating catchment area (MMN‐2SFCA) method, which incorporates a super‐network to explicitly model the multi‐modal travels. The proposed method emphasizes the modeling of transfer behavior, resulting in a more comprehensive and accurate measurement of tourist attraction accessibility compared to the conventional 2SFCA method. The proposed method emphasizes the modeling of transfer behavior, travel mode choice, and travel demand estimation by multi‐source big data (including mobile phone signaling data, travel survey data, subway smart card data, and bike‐sharing data), resulting in a more comprehensive and accurate measurement of tourist attraction accessibility compared to the conventional 2SFCA method. The results of the case study in Suzhou (a famous tourism city in China) demonstrate the effectiveness of the proposed MMN‐2SFCA method. The method can rectify the imbalance in accessibility distribution caused by considering only single‐modal trips, and avoid overestimation of accessibility by accounting for transfer behavior. This study contributes to advancing accessibility measurement for multi‐modal transport networks. Moreover, the MMN‐2SFCA method offers excellent extensibility, enabling authorities to optimize and coordinate multi‐modal transport networks for improving the accessibility of tourist attractions and other facilities. [ABSTRACT FROM AUTHOR]

The market development trend of foldable AMOLED screen is introduced in the article, and then the core links of the industry chain of foldable mobile phones is drawn off. Furthermore, that improving the bending ability is an urgent problem to be solved in achieving lightweight is proposed. Based on this demand, a specific structural scheme and a complete set of bending ability evaluation methods to achieve lightweight affect are put forward. By combining bending simulation and product failure test, the mechanism is analyzed, and also, the main and secondary factor affecting bending ability are proposed. After that, a standardized improvement system for bending ability, including optimization of membrane quality, structural optimization, and process optimization, is validated and applied. On condition that an average bending radius of 1.5mm for Panel and 1.3mm for MDL are achieved ultimately, that has reached the international leading level. Moreover, based on the stress simulation research, a nonlinear model relationship between the strain of the TLD film layer (SiNx) and the clamp distance, which is a key factor affecting the bending ability and can predict the bending ability, is established. Finally, the future development direction and research direction of improving the bending ability of foldable AMOLED screen are prospected. [ABSTRACT FROM AUTHOR]

A novel over drive (OD) method is proposed to improve the response time of OLED for mobile applications. By utilizing line segment detection and matching, the proposed method achieves improved display quality with reduced hardware requirements. This paper details the implementation of the proposed OD technique and presents experimental results demonstrating its effectiveness. [ABSTRACT FROM AUTHOR]

ELVDD provides the anode voltage of OLED. In the OLED pixel circuit, the source electrode of driving TFT is connected to ELVDD, and the drain electrode is connected to the anode of OLED. Most OLED panels of existing mobile phones set the ELVDD voltage to 4.6V.However, some OLED panels of new mobile phones set the ELVDD to 2.8V for energy‐saving purposes. As an important measure to reduce the logic power consumption of OLED display panel, ELVDD 2.8V setting is more and more common in mobile OLED panel design. Based on an OLED mobile phone panel, the comparison test of ELVDD setting 4.6V and 2.8V is carried out. [ABSTRACT FROM AUTHOR]

Carbon fiber bracket can greatly reduce the weight of foldable display modules, making a significant contribution to the lightweight of foldable mobile phones. This article takes OLED display modules as the research object, and fully reveals the bulging mechanism of carbon fiber bracket through disassembly analysis, infrared analysis, SEM analysis of pre impregnated materials, FIB slicing analysis after boiling carbon fiber boards, and verification of process parameters. The results indicate that the bulging delamination interface mainly occurs between FEP adhesive and carbon fiber board, and the fundamental reason is that the carbon fiber board releases gas. Further analysis indicates that carbon fiber board contains a curing agent, which contains a dicyandiamide component. Under high temperature and humidity conditions, dicyandiamide reacts chemically, releasing ammonia gas and damaging the interface between the colloid and carbon fiber board, resulting in delamination between FEP adhesive and carbon fiber board, and bulging in the reliability testing. [ABSTRACT FROM AUTHOR]

Natural hazards bring about changes in the access to essential services such as grocery stores, healthcare, schools, and day care because of facility closures, transportation system disruption, evacuation orders, power outages, and other barriers to access. Understanding changes in access to essential services following a disruption is critical to ensure equitable recovery and more resilient communities. However, past approaches to understanding facility closures and inaccessibility such as surveys and interviews are labor‐intensive and of limited geographic scope. In this article, we develop an approach to understanding facility‐level inaccessibility across a broad geographic area based on location‐based services data collected from cell phones. This approach supplements current approaches and helps both researchers and emergency response planners better understand which communities lose access to essential services and for how long. We demonstrate our approach by analyzing loss of access to supermarkets, schools, healthcare facilities, and home improvement stores in Southwest Florida leading up to and following the landfall of Hurricane Irma in 2017. [ABSTRACT FROM AUTHOR]

During an emergency, it is necessary to quickly disseminate messages to the public. These communications often provide information about the emergency as well as guidance or advice aimed at ensuring the safety of the population. Successful emergency communication depends upon how rapidly and reliably a message can be disseminated, but also on how people respond to the message that they receive. To assist emergency planners tasked with developing message sets for future incidents, in this paper we report a systematic review of all studies that assessed the impact of mobile telephone alerting systems on intended and actual behaviour, to identify factors that affect their likely impact. We searched multiple databases and conferred with topic experts, resulting in a total of 22 studies which met the inclusion criteria. Our results indicate that limited data exist on how people respond to text-based warning messages and that much of the data is poor quality, indicating a need for more real-world studies. [ABSTRACT FROM AUTHOR]

Problematic mobile phone use is characterized by its "impulsive" nature; users engage in it despite their negative attitude toward it. From a behavioral‐economic perspective, this attitude–behavior discrepancy is generated by competing contingencies that involve smaller‐sooner social reinforcers associated with mobile phone use and larger‐later prosocial reinforcers potentially compromised by phone use. Based on this conceptualization, the reinforcer‐pathology model of problematic mobile phone use is proposed, which posits that such phone use stems from excessive delay discounting of the social and prosocial reinforcers and/or excessive demand for the social reinforcers. A secondary data analysis of previously published studies was conducted, with the novel addition of principal component analysis and hierarchical cluster analysis of these data. The results generated evidence that supports the reinforcer‐pathology model proposed in this article. Based on the theoretical analyses and accumulated empirical evidence, theory‐driven prevention and intervention strategies for problematic mobile phone use are proposed. Overall, the reinforcer‐pathology model of problematic mobile phone use provides a comprehensive framework for understanding and addressing this growing issue. [ABSTRACT FROM AUTHOR]

Electromagnetic exposure caused by mobile communication signals has always been a cause of concern. Due to the cost and inconvenience of professional measurement equipment, researchers have turned to smartphone APPs to study and assess the electric field strength caused by mobile communication signals. However, existing cell phone‐based measurements have two weaknesses. First, no system architecture suitable for large‐scale crowdsourced testing has been proposed. Second, since smartphone sensors cannot measure electric field strength directly, existing methods for converting the received signal power of the phone and electric field strength have errors of more than 5 dB. This paper proposes a measurement and calibration method for electric field strength of mobile communication signals based on a smartphone app and gradient boosting decision tree (GBDT). This method consists of a downlink signal acquisition system based on an APP and a calibration model based on GBDT to convert received signal power into electric field strength. The experimental results show that the proposed model achieves a R2 score of 0.93 and a MAE of 0.97 dB. Compared with the existing methods, our method improves the calibration accuracy by 4 dB, enabling large‐scale, low‐cost, and high‐precision direct measurement of the electric field strength of mobile communication signals. Key Points: Using smartphones and machine learning to measure the electric field strength of mobile communication signalsA system converting the power of mobile communication signals to electric field strength with high accuracySuitable for large‐scale and low‐cost measurement of the electric field strength of mobile communication signals [ABSTRACT FROM AUTHOR]

This paper presents a dual‐band multiple‐input multiple‐output (MIMO) antenna pair for 5G cell phones. The antenna pair consists of two planar concave antenna elements that are tightly arranged on a vertical substrate. By adding capacitors to form a resonant network, an additional operating mode is excited, resulting in dual‐band performance. The resonant frequency of the additional mode can be adjusted independently by changing the capacitance value. Moreover, a neutralization line is used to improve the isolation of the high band without affecting the low band. The antenna pair occupies a small area of 13.2 × 6.3 mm2 and operates at both 3.5 and 4.85 GHz bands. The isolations are better than 17 dB at the 3.5 GHz band and better than 19 dB at the 4.85 GHz band. The proposed dual‐band antenna pair might be a good choice for 5G terminals. [ABSTRACT FROM AUTHOR]

New cell phone services and apps consume more spectrum. Wireless spectrum allows services and apps to communicate with one another. Wi‐Fi quality is improved via smart spectrum usage and new CRT services. The use of spectrum is beneficial. Cross‐layer architecture improves the energy efficiency of wireless networks. System performance is improved by connecting protocol layers. Cross‐layer configuration does not introduce layer functionality into a network. By protecting networks, cross‐layer design increases communication. C‐LNRD uses self‐determined time slots to promote communication. Agents that collect information. At each level, the monitoring agent monitors traffic, time, and topology. Each layer of agents has its own database. Data is received by the network, MAC, and physical layers. Based on its measurements, each node grants trust. Routes were altered. PR ATTACK does not have RTS, CTS, or RREQ to reduce false positives. Spectrum allocation is improved via cognitive radio and learning technologies. Adaptive Cognitive Radio Networks are created using AI, GA, Fuzzy Logic, and Game Theory (ACRN). DSA creates high‐bandwidth MCRNs. This research looks at MCRNs in order to optimise spectrum usage, throughput, routing delay, and overhead. Multihop, the proposed approach by CRN takes into account spectrum awareness, quality route establishment, and route maintenance in the event that a connection fails due to spectrum or a node transfer. New strategies improve the cross‐layer network protocols of MCRN. Learners gain from spectrum models. Sensors and routers are linked by layers. The proposed routing improves both performance and spectrum use. [ABSTRACT FROM AUTHOR]

The frequent cable breaks and socket failures experienced by users of mobile devices such as smartphones and tablets have become a problem. In this study, wireless charging of mobile phones is provided with inductive coupling. The wireless power transfer (WPT) system has a diameter of 5 cm, operates at 10 MHz, and has an output power of 5 W. The coil design includes a ferrite core and shielding for reducing electromagnetic scattering. The paper used mathematical calculations and simulation tools, including MATLAB, Simulink, Maxwell 3D, and HFSS, to analyze the WPT design and its effects on human health at various conditions. As a result, the magnetic exposure was kept below the limit value in this WPT design, thus protecting the person and the device. In addition, the WPT design achieved high efficiency with a maximum air gap of 2 cm when aligned, and up to 2 cm misalignment at 0.5 cm air gap. [ABSTRACT FROM AUTHOR]