Search Results (282)

Purpose: To describe short- and long-term visual outcomes after MAIA microperimetry biofeedback training (BT) in a low-vision rehabilitation cohort. Methods: Retrospective study of patients who completed BT between 2017 and 2023 (4.1 ± 0.6 sessions). The MAIA device recorded P1 and P2 parameters, defined as the percentage of fundus-tracked fixation points falling within device-defined circular windows centered on the trained retinal locus (TRL). Outcomes: baseline, short-term follow-up (<6 months), and long-term follow-up (≥6 months): P1, P2, best-corrected distance visual acuity (BCVA), near visual acuity, fixation stability (BCEA), mean retinal sensitivity (dB), and reading speed (wpm) MNRead app. Results: A total of 346 participants were included. Median P1 increased from 21.5% at Session 1 to 32.0% at Session 5, and P2 increased from 66.0% to 81.5%. Distance and near visual acuity improved significantly at short-term follow-up but were not significantly different from baseline in the overall cohort at long-term follow-up. Reading speed, BCEA, and mean retinal sensitivity did not show significant longitudinal changes. In an exploratory secondary analysis excluding eyes with worsening BCVA, distance and near visual acuity remained significantly improved at long-term follow-up. Conclusions: MAIA-guided BT was associated with improved within-training fixation performance and short-term visual acuity in this heterogeneous retrospective cohort. Long-term improvement was not demonstrated in the overall cohort; exploratory analyses suggest that underlying disease progression may influence long-term outcomes. Prospective controlled studies are required to determine durability and efficacy. Full article

The corrosion of copper alloys in buried or atmospheric environments is driven by the anodic dissolution of the copper matrix, a chloride-mediated autocatalytic cycle, and the accumulation of insoluble corrosion products, among which basic copper chlorides such as paratacamite (Cu₂(OH)₃Cl) are characteristic phases closely associated with the accelerated degradation of bronze artefacts. Here, we report a ternary aqueous cleaning system comprising ammonium polyphosphate (APP), boric acid, and the nonionic surfactant OP-10 for the removal of chlorine-containing corrosion products from simulated bronze substrates. Single-factor optimization identified the selected formulation of 4 wt% APP, 4 wt% boric acid, and 0.5 vol% OP-10, achieving an apparent corrosion-product removal efficiency of 93.7% ± 0.6% with a total colour difference (ΔE*) below 5. X-ray diffraction (XRD) and scanning electron microscopy (SEM) confirmed the effective removal of the loose, chlorine-rich outer corrosion layer while preserving the compact inner layer. Electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization measurements showed that the charge transfer resistance (R_ct) increased and the corrosion current density (I_corr) decreased after cleaning, indicating an improvement in the short-term corrosion behaviour of the surface, which may be associated with the removal of chloride-bearing phases and/or the residual compact Cu₂O layer, with a possible contribution of the adsorption of residual phosphate species on the substrate. This study provides a simple chemical route for the mild cleaning of corroded bronze surfaces and offers a preliminary exploration of polyphosphate-based systems for the conservation of copper-based cultural heritage. Full article

Background/Objectives: The Sehhaty app (v.3.38.0), the Saudi Ministry of Health patient portal, is the principal digital interface between citizens and the national health system. What distinguishes patients who derive functional value from superficial users remains poorly characterized. This study aimed to identify distinct patient viewpoints on Sehhaty use in western Saudi Arabia using Q-methodology grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT). Methods: A 42-statement Q-set was derived from a systematic literature review covering eight extended UTAUT constructs plus usage behaviour. Twenty-four participants, purposively recruited via a matrix stratified by age, gender, chronic disease status, and location, completed online Q-sorts on a forced quasi-normal distribution (−5 to +5), followed by post-sorting interviews. Analysis used KADE v1.2.1 with centroid factor extraction and varimax rotation; principal component analysis only checked the number of factors. Results: Two viewpoints accounted for 51% of the variance among the Q-sorts. Factor 1 (“Cautious Users”) showed high digital readiness and security confidence but limited perceived functional value. Factor 2 (“Functionally Engaged Users”) perceived the application as efficient, care-integrated, and empowering. Fourteen consensus statements confirmed shared endorsement of usability, information clarity, and security trust. Neither viewpoint attributed app use to age, gender, chronic illness, or location, although the small purposive sample precludes demographic inference. Conclusions: Within the sampled viewpoints, the dominant perceived barrier to deeper engagement was limited perceived functional and clinical value rather than usability, access, or security. This exploratory finding informs Vision 2030 digital health policy and warrants larger quantitative confirmation. Full article

Background: Cardiorenal syndrome requires coordinated cardiology–nephrology management, but timely multidisciplinary input is often difficult to achieve in routine inpatient care. Smartphone-based messaging platforms such as WhatsApp are widely used informally by physicians, yet their structured use for inpatient cardiorenal teleconsultation has been scarcely evaluated. Methods: A single-center retrospective observational study of hospitalized adults with cardiorenal syndrome, discussed in a closed WhatsApp group that included consultant cardiologists, consultant nephrologists, and residents, between October 2023 and November 2025. Feasibility endpoints included response rate, response times, and degree of multidisciplinary participation. Clinical variables and management actions were extracted from chats and charts. Results: Of the 49 patient-related posts, 36 met the inclusion criteria for a complete analysis. The mean age was 58.5 ± 15.5 years, and 63.9% were male. The most prevalent cardiac diagnosis was pulmonary edema (30.6%), whereas acute kidney injury was the most prevalent kidney disease presentation (61.1%). More than 90% of teleconsultation posts received at least one consultant reply. Management actions among 34 answered posts included treatment modification in 24 patients, additional routine laboratory testing in 14, advanced investigations in 5, and specific interventions in 7. Conclusions: A WhatsApp-based multidisciplinary group achieved rapid and frequent consultant responses and subsequently requested management actions. Such doctor-to-doctor telenephrology models may augment existing cardiorenal services, provided that robust governance and data-protection frameworks are in place. Full article

Purpose: This study aimed to compare the repeatability and agreement of corneal tomographic measurements between the Anterion Cornea App and Pentacam HR in keratoconus (KCN). Methods: Eyes with KCN were imaged three consecutive times with each device. Intra-device repeatability was assessed using intraclass correlation coefficients (ICCs), within-subject standard deviation (Sw), coefficient of variation (CV), and repeatability coefficients (RCs). Inter-device agreement was evaluated using concordance correlation coefficients (CCCs) and Bland–Altman analysis. Parameters included anterior and posterior keratometry values (K1, K2, K_mean, K_max, and ΔK), central corneal thickness (CCT), and thinnest pachymetry (TP). Results: Twenty-eight eyes from 17 patients were included. Both devices demonstrated high same-session repeatability (ICC > 0.90 and CV < 5%) for all parameters except anterior ΔK and posterior ΔK. Anterion demonstrated lower measurement variability than Pentacam for all parameters. For anterior K_max, Anterion had an RC of 1.38 diopters (D) versus 2.48 D for Pentacam. Pachymetric RCs were lower with Anterion than with Pentacam (CCT: 6.24 vs. 18.85 μm; TP: 5.93 vs. 20.34 μm). Inter-device agreement was substantial (CCC > 0.95) for most parameters except ΔK. Compared with Pentacam, Anterion measured CCT as 6.16 μm thinner and TP as 11.99 μm thinner. Bland–Altman analysis showed greater inter-device variability for all anterior keratometry parameters, posterior K1, and posterior K_mean. Conclusions: Anterion demonstrated lower same-session measurement variability than Pentacam HR, particularly for K_max and pachymetry. Future longitudinal studies across multiple sessions are needed to assess whether Anterion’s lower same-session variability confers any advantages in KCN detection and progression monitoring. Overall, the two devices should not be used interchangeably for KCN assessment. Full article

Background: Multidisciplinary rounds are essential for high-quality intensive care but are frequently hindered by inconsistent team participation and logistical inefficiencies. We evaluated the associated impact of implementing a standardized multidisciplinary rounding checklist and real-time paging system on multidisciplinary team attendance, rounding efficiency, and selected clinical outcomes in the ICU. Methods: A retrospective, observational pre- and post-intervention cohort study featuring a concurrent control group was conducted at a tertiary care hospital. The study included 331 adults admitted to the medical ICU (MICU) and neurovascular critical care unit (NCCU; control). The intervention combined a standardized rounding checklist incorporating the ICU Liberation (ABCDEF) bundle and FAST HUGS BID mnemonic with a real-time paging notification system to alert team members of round start times and locations. The primary outcome was change in multidisciplinary team participation at the start and end of rounds; secondary outcomes included rounding time per patient and exploratory care-process outcomes. Results: Multidisciplinary participation at the start and conclusion of rounds significantly improved for both the MICU advanced practice provider (APP) team (p = 0.003 and p = 0.002, respectively) and the resident team (p = 0.006 and p < 0.001, respectively), while attendance in the NCCU group remained unchanged. Median rounding time per patient decreased by 20.8% (13.0 to 10.3 min, p < 0.001). In a survivor-only sensitivity analysis, the streamlined workflow decreased the median time to physical and occupational therapy consultations from 4 to 2 days (p ≤ 0.002). Invasive device stewardship significantly improved; central venous catheter utilization decreased from 58.0% to 25.0% (p < 0.001), and arterial line utilization fell from 55.0% to 26.5% (p < 0.001), with median arterial catheter duration decreasing from 5 to 3 days (p = 0.001). Conclusions: Implementing low-cost, reliable workflow standardization tools was associated with significantly improved multidisciplinary participation and shorter rounding time per patient. Favorable changes in selected care-process measures were also observed, although patient-level clinical outcomes should be interpreted as exploratory and future studies are warranted. Full article

Background: Asthma during pregnancy is associated with adverse maternal and neonatal outcomes. Nursing education, self-management support, and mobile health (mHealth) technologies may support asthma management during pregnancy. Aim: This study evaluated the effect of a structured nursing intervention supported by an mHealth application on asthma control, treatment adherence, and self-monitoring, and maternal and neonatal outcomes among pregnant women with asthma. Design and Setting: A quasi-experimental pretest–posttest design with a control group was conducted at two Maternal and Child Health Centers in Shebin El-Kom, Menoufia Governorate, Egypt. Participants: A convenience sample of 140 pregnant women with physician-diagnosed asthma was recruited and allocated non-randomly according to the center attended to a study group (n = 70) and a control group (n = 70). The sample size was calculated a priori based on a previous study using a 5% significance level and 80% statistical power, with a 1:1 allocation ratio, resulting in a required sample of 70 participants per group. All recruited participants completed the study, with no withdrawals or loss to follow-up. Intervention: The study group received routine antenatal care plus an eight-week structured nursing intervention consisting of four individualized weekly educational sessions (60–90 min each) addressing asthma management, medication adherence, self-monitoring, trigger avoidance, warning signs, inhaler technique, lifestyle modification, and rhythmic breathing exercises. Participants were trained to use the Airlyn mHealth application for guided breathing exercises, practiced 2–3 times daily, and received telephone/WhatsApp follow-up during weeks 6–8. The control group received routine antenatal care according to usual MCH center procedures. Measures: Asthma control was assessed using the Asthma Control Test (ACT). Treatment adherence and self-monitoring were assessed using the Asthma Adherence and Self-Monitoring Questionnaire. Maternal outcomes included hypertensive disorders, gestational diabetes, infections, preterm labor/PPROM, hemorrhage, and mode of delivery. Neonatal outcomes included birth weight, Apgar scores, respiratory distress and respiratory support, NICU admission and length of stay, and condition at discharge. The researcher-developed instruments underwent expert assessment of content validity and assessment of internal consistency before use. Results: Baseline ACT scores were comparable between the study and control groups (14.5 ± 4.2 vs. 14.1 ± 4.3; mean difference = 0.4; p = 0.580). Following the intervention, ACT scores were higher in the study group than in the control group (19.7 ± 3.6 vs. 15.2 ± 4.2; mean difference = 4.5; 95% CI: 3.189–5.811; p < 0.001; Cohen’s d = 1.147). Well-controlled asthma was observed in 75.7% of the study group compared with 17.1% of the control group (p < 0.001). Treatment adherence and self-monitoring scores were also better in the study group (5.6 ± 2.7 vs. 9.1 ± 3.1; mean difference = −3.5; 95% CI: −4.476 to −2.524; p < 0.001; Cohen’s d = 1.199). The overall maternal outcome score was more favorable in the study group (3.5 ± 1.7 vs. 6.1 ± 2.6; mean difference = −2.6; 95% CI: −3.340 to −1.860; p < 0.001; Cohen’s d = 1.174), as was the overall neonatal outcome score (7.7 ± 2.2 vs. 5.5 ± 2.1; mean difference = 2.2; 95% CI: 1.480–2.920; p < 0.001; Cohen’s d = 1.022). Significant between-group differences were also observed in birth weight, Apgar scores, respiratory distress, and NICU admission. Conclusions: Participants who received the structured nursing intervention supported by the Airlyn mHealth application were associated with improved asthma control, treatment adherence, and self-monitoring, as well as more favorable maternal and neonatal outcomes, compared with those receiving routine antenatal care. However, the quasi-experimental design, convenience sampling, and non-randomized allocation limit causal interpretation and the generalizability of the findings. Therefore, the findings should be interpreted cautiously. Recommendations: Larger randomized controlled trials with standardized protocols, adequate sample sizes to evaluate maternal and neonatal outcomes, and longer follow-up periods are recommended to confirm these findings and further assess their clinical relevance. Full article

Objective: Cognitive behaviour therapy (CBT) for binge eating disorder (BED) is fairly effective, yet relapse remains problematic. Treatment outcomes may be improved if patients gain more insight into symptom patterns. In this qualitative study embedded in BED treatment, we evaluated user experiences with an Ecological Momentary Assessment (EMA) smartphone application to self-monitor affect and binge eating episodes in daily life. Methods: Participants were 20 adults who received group-CBT for BED at a mental health institute in the Netherlands. Via an EMA smartphone app, the participants filled out 5 micro-questionnaires daily for 6 weeks. An overview of mood fluctuations and binge eating episodes was graphically displayed in the app and discussed with the therapist. Semi-structured interviews were conducted with 16 participants and 5 practitioners to evaluate feasibility and usefulness. Results: Qualitative analyses of the interviews showed that the app was perceived as user-friendly, yet invasive due to many registrations. This was reflected in low response rates (mean: 31.1%), with only 9 participants reaching a response rate above 30% (>65 of 210 EMA micro-questionnaires completed). Some participants thought the daily registrations were insightful, but some also perceived the registrations as confronting and shameful, suggesting potential iatrogenic effects. Conclusions: This study offers a real-world example of using EMA in treatment and provides meaningful insights for developers of behaviour change-focused EMA tools. The experiences of the participants and practitioners were mixed, yet several indicated improved reflection and awareness of (fluctuations in) emotions. Given the cautiously positive feedback from several participants and therapists, we recommend a carefully designed evaluation, including a shorter assessment period, a control group and an assessment of emotional awareness. Full article

Nephrology requires students to integrate nephron transport, hormonal regulation, medication effects, and serum and urine electrolyte patterns, which can be difficult to represent with static instructional materials. This study describes the development and early evaluation of Nephron Flow Lab, a web-based interactive nephrology learning application created through a generative artificial intelligence-assisted “vibe coding” workflow. Initial visual prototyping was performed using Gemini 3.1 Pro, with Codex using GPT 5.5 used for complex physiologic logic, animations, and implementation. Idaho WWAMI students received optional access to the application before Exam 5 and the course final examination, whereas students at other WWAMI sites served as controls. Aggregate item-level cross-sectional difference-in-differences contrasts compared focal-versus-baseline performance at the Experimental site with corresponding contrasts at individual and pooled control sites. Pooled-control estimates showed no measurable advantage for Idaho on Exam 5 (−0.88 percentage points; 95% CI, −5.96 to 4.87), the final examination (0.66 percentage points; 95% CI, −4.57 to 5.48), or both assessments combined (0.47 percentage points; 95% CI, −3.36 to 4.52). Survey respondents rated the application favorably using a modified uMARS survey, with an overall app-quality score of 4.54/5. Nephron Flow Lab demonstrates the feasibility of faculty-built AI-assisted educational software and was favorably perceived by survey respondents; however, access to the application was not associated with a measurable aggregate achievement advantage in this exploratory evaluation. Full article

Background/Objectives: Patients with heart failure (HF) are vulnerable to vaccine-preventable infections, yet vaccination data remain limited. We assessed perceived vaccination knowledge, attitudes, self-reported vaccine receipt, and variation by age, sex, region, and delivery pathway among digitally connected patients with HF enrolled in a nationwide telemonitoring program. Methods: This cross-sectional electronic survey was conducted from 5 to 28 November 2025, during the ongoing 2025–2026 influenza and COVID-19 vaccination campaigns, among app-connected Satelia^® Cardio participants across France. Of 4856 invited app-connected patients, 1100 completed the questionnaire (response rate: 22.7%). Uptake of seasonal influenza and COVID-19 booster vaccination for the 2025–2026 season and lifetime receipt of pneumococcal, tetanus–diphtheria–pertussis–poliomyelitis (Tdap-polio), and herpes zoster vaccines were analyzed using Wilson 95% confidence intervals (CIs), age-adjusted logistic regression, and regional models adjusted for age and sex. Results: Respondents had a mean age of 71.5 years (SD: 12.6), and 718 (65.3%) were men. Overall, 87.5% considered vaccination useful, 96.0% knew where to be vaccinated, and 55.1% wanted telemonitoring-based reminders. Current-season reported vaccination was 62.2% for influenza and 31.4% for the COVID-19 booster, whereas lifetime self-reported receipt was 38.5% for Tdap-polio, 34.5% for pneumococcal vaccination, and 11.5% for herpes zoster. Influenza and COVID-19 uptake increased with age, whereas pneumococcal uptake peaked at 65–74 years. Pneumococcal receipt was higher in women than men (42.2% vs. 30.4%; age-adjusted odds ratio [aOR], 1.67; 95% confidence interval [CI], 1.29–2.17; p < 0.001). Community pharmacies delivered most influenza and COVID-19 vaccinations. Conclusions: Vaccination attitudes were favorable, while current-season vaccination and lifetime-reported vaccine receipt showed distinct patterns across age groups. These descriptive findings identify potential target groups for future telemonitoring-based preventive interventions, whose effectiveness requires prospective evaluation. Full article

Mobile health (mHealth) apps increasingly capture the physiological, biomechanical, and psychological variables involved in sport training, but the evidence remains fragmented across single-domain reviews, leaving practitioners without a consolidated basis for selecting and deploying these tools across the training process. This scoping review aimed to identify and characterize research on mHealth apps in sport training, focusing on their performance testing, training load and recovery monitoring, technical and skill development, injury screening and prevention, and athlete self-management. It also synthesized evidence regarding their applications, intended purposes, technical characteristics, and the evidence supporting their effectiveness. Five databases (PubMed, Scopus, Web of Science, SPORTDiscus, Embase) were searched from inception to July 2026 for journal articles reporting original empirical data on app research on the sport training process in athletes. Studies involving only the promotion of physical activity or lacking human-subject testing, including commercially available apps without supporting research on their effectiveness, were excluded. Findings were synthesized narratively, and methodological quality was appraised with the Mixed Methods Appraisal Tool. Of 9476 records identified, 111 studies met the inclusion criteria and were inductively classified into ten application categories: sport skill training (n = 26), performance measurement (n = 20), vertical jump measurement (n = 18), self-reported monitoring (n = 12), physiological measurement (n = 12), musculoskeletal screening (n = 10), psychological intervention (n = 5), nutrition (n = 3), anthropometric and maturation screening (n = 3), and tactical and match analysis (n = 2). Most apps relied on built-in smartphone sensors or no sensing at all and used manual or deterministic computation; processing location went unreported in 74.8% of studies, which reflects a reporting gap rather than an architectural profile of the field, and reported that AI or machine learning labels did not track with actual method disclosure. Validation and reliability designs dominated the evidence base (52%), while randomized or controlled effectiveness trials were rare (10%). Apps generally showed good relative validity but limited absolute accuracy against criterion instruments, and wherever apps were deployed longitudinally, adherence rather than accuracy determined their real-world value. mHealth apps now support nearly every stage of sport training and can substitute for laboratory instruments in select, validated use cases, including video-based sprint and jump timing and chest-strap-paired heart-rate variability monitoring. However, the field remains organized around demonstrating measurement accuracy rather than showing that app-guided decisions improve athlete outcomes. A successful pathway for mHealth app development should progress from technical validity, through measurement reliability and responsiveness, to decision rules, and then to practitioner adoption by coaches and athletes, ultimately yielding better athlete outcomes. Full article

Alzheimer’s disease (AD) is characterized by the excessive production and aggregation of β-amyloid (Aβ), which serves as key pathological features of disease progression. Although Humulus japonicus Siebold & Zucc. is a traditional medicinal plant rich in flavonoids and phenolic compounds, its specific anti-amyloidogenic constituents remain to be fully elucidated. This study evaluated the effects of the aerial parts of H. japonicus on Aβ production and aggregation, and identified its active constituents through bioassay-guided isolation. The 80% ethanolic extract of H. japonicus aerial parts significantly reduced soluble amyloid precursor protein β (sAPPβ) levels and BACE1 protein expression in Chinese Hamster Ovary cells stably expressing amyloid precursor protein (APP-CHO cells). Furthermore, it inhibited Aβ aggregation and promoted fibril disaggregation in Thioflavin T assays. Among the solvent-partitioned fractions, the ethyl acetate fraction exhibited the most potent anti-amyloidogenic activity and was subjected to chromatographic isolation, leading to the characterization of fourteen compounds (7 flavonoids, 2 phenolic acids, 2 sesquiterpenoids, and 3 phenylpropanoids). Specifically, luteolin 7-O-β-d-glucopyranoside (2), orientin (3), vitexin (5), vomifoliol (8), abscisic acid (9), and p-hydroxyphenylethyl-p-coumarate (12) significantly decreased sAPPβ levels, as well as BACE1 and Presenilin-1 protein expression. Meanwhile, luteolin 7-O-β-d-glucopyranoside (2), orientin (3), vitexin (5), and quercetin 7-O-β-d-glucopyranoside trimer (7) effectively reduced Aβ aggregation and enhanced the disaggregation of pre-formed Aβ aggregates. Collectively, luteolin 7-O-β-d-glucopyranoside (2), orientin (3), and vitexin (5) exhibited the most consistent dual inhibitory effects on both Aβ production and aggregation, supporting their selection as key marker compounds. Among the extracts prepared with varying ethanol concentrations, the 100% ethanol extract yielded the highest levels of these flavonoid glycosides and exhibited the strongest anti-amyloidogenic activity. These findings suggest that the aerial parts of H. japonicus and its constituent flavonoid glycosides represent promising natural resources for modulating amyloidogenic APP processing and Aβ aggregation in AD. Full article

Background: Emergency services in urban areas are overcrowded due to a rise in mild-to-moderate acuity consultations, and physician-led home visits are less common. In response, a home-based urgent care model in an urban setting (Docadom) was developed. Consultation requests via a dedicated mobile application or phone call are triaged by a trained emergency nurse. Physicians travel to the patient via an electric cargo bike that has storage for medical equipment. During home visits, physicians perform testing/diagnosis and advanced procedures (e.g., intravenous medication delivery) and prescribe treatment (if needed). This descriptive analysis reports activities during the first 12 months of Docadom. Methods: Data from all patients seen during the first 12 months of Docadom activity (1 May 2023–30 April 2024) were analysed. Outcomes analysed included: age, sex, diagnosis, and whether the patient was referred to the hospital. Patient satisfaction (from 1 [worst] to 5 [best]) is also reported. Each outcome was analysed in two subgroups based on patient age (<75 or ≥75 years) because the Swiss health insurance system distinguishes between these two age groups, using Wilcoxon or chi-square tests as appropriate. Results: A total of 1736 patients requested a consultation (66% female; median age 70 years [interquartile range 36, 84]; 43% aged ≥75 years). The five most frequent clinical presentations were: ear, nose and throat infection, epistaxis and bronchitis (25.7%); soft tissue trauma (7.8%); acute cervical or lower back pain syndrome (5.6%); gastroenteritis and dehydration (5.0%); and cancer and general decline in the elderly (4.6%). Only 4.7% of the patients were referred to the hospital. The mean satisfaction score was 4.97 (response rate: 207/422 patients [49%] who requested a consultation via the app). Conclusions: These data highlight the feasibility and acceptability of a home-based urgent care model in an urban setting. The service effectively addressed a wide range of acute conditions, especially in elderly patients. The low hospital referral rate and high patient satisfaction are encouraging, but as a single-arm descriptive analysis without post-consultation outcome data or a comparator group, this study cannot establish clinical safety or an effect on emergency department use; these questions require a future comparative study. Full article

Background: Enhancing self-management and coping strategies in cancer patients is critical to improving their quality of life and treatment outcomes. eHealth interventions, such as mobile apps, telehealth platforms, and online support tools, offer accessible, personalized, and cost-effective solutions that empower patients to actively manage their symptoms, adhere to treatment plans, and reduce psychological distress. These digital tools play a pivotal role in bridging care gaps, especially for individuals facing barriers to in-person support, underscoring their growing importance in modern oncology care. Aim: The aim of this study was to evaluate the efficacy of an eHealth intervention in enhancing self-management and coping strategies in cancer patients. Methods: This study was designed as a randomized controlled trial (RCT) and is reported in accordance with the CONSORT guidelines to ensure transparent and comprehensive reporting. A study and control group pre-test/post-test design was employed to investigate the impact of the intervention in the cities of Shaqra and Sajir, Riyadh, Saudi Arabia. A total of 212 participants were recruited using the Symptom-Management Self-Efficacy Scale (SMSE) and the Jaloweic Coping Scale. Result: Before the intervention, the correlation between coping behaviors and self-management practices was weak and statistically insignificant for both groups (study: r = 0.091, p = 0.351; control: r = 0.048, p = 0.622). After the intervention, a significant positive correlation emerged in the study group (r = 0.267, p = 0.006), suggesting that improvements in coping behaviors were associated with enhanced self-management practices. However, no significant change was observed in the control group (r = 0.081, p = 0.412). Conclusions: The intervention significantly improved self-management practices and coping behaviors in the study group, while the control group showed minimal or no improvement. The findings indicate that self-management and coping strategies are interrelated, and demographic factors such as age, education, and income influence the extent of improvement. Trial Registration: ClinicalTrials.gov identifier NCT07457112, registered on 5 March 2026, retrospectively registered. Full article

Modern smartphones keep background apps to reduce latency during frequent app switching. Under memory pressure, Android terminates cached processes and reclaims pages, yet neither path represents when each resident app is likely to return. This paper presents RankProp, which learns an eviction order over the current resident app set and propagates through Android’s memory management. Unlike its predecessor, which scores apps independently, RankProp uses machine learning to train a neural network ranking model that produces an eviction order over all resident apps at each launch event. Android projects the order onto a cached process to reclaim priority and derives a hint for page reclaim. Across 279 user app usage traces, RankProp enhances the aggregate hit ratio from 0.9172 for the calibrated predecessor to 0.9252 across logical app cache capacities from 5 to 15. In an Android emulator with synthetic apps and sustained memory pressure, propagation to both reclaim paths reduced mean launch time by 4.71 percent relative to Android’s stock recency policy. Within this scope, mobile operating systems’ reclaim paths can consume priorities derived from the app eviction ranking without replacing their native decision units. Full article