Yankuba B. Manga

Background: Medical waste management is a central pillar of the Green Hospital approach, yet evidence on effective strategies and system-level barriers remains fragmented. This systematic review synthesizes direct medical-waste-management evidence together with healthcare-sustainability and transferable waste-system evidence relevant to the Green Hospital framework. Methods: We conducted a systematic review in accordance with PRISMA 2020. The review protocol was registered in PROSPERO (CRD420251168204). Six bibliographic databases and one grey-literature source were searched for original empirical, intervention, case-study, modelling, and optimization studies published online between 1 January 2020 and 27 August 2025 that examined medical waste management or provided clearly relevant healthcare-sustainability or transferable waste-system evidence. Two reviewers independently screened records, extracted data, and appraised methodological quality using design-appropriate criteria: the Mixed Methods Appraisal Tool for empirical studies and an adapted model-appraisal framework for modelling, optimization, framework-development, and technology-evaluation studies. Results: Of the 21 included studies, 15 provided direct medical-waste-management evidence, five provided healthcare-sustainability or planetary-health contextual evidence, and one provided transferable waste-system evidence. Behavioural compliance, education, or segregation was addressed in 11 studies (52%); workflow or operational optimization in four studies (19%); digital or decision-support systems in five studies (24%); environmental or economic assessment, modelling, circularity, or resource recovery in 10 studies (48%); and systemic or organizational barriers in seven studies (33%). Studies could contribute to more than one synthesis theme; therefore, these categories were not mutually exclusive. Conclusion: Sustainable medical waste management within the Green Hospital framework requires an integrated socio-technical strategy combining behavioural reinforcement, operational improvement, decision-support technologies, environmental and economic assessment, and enabling governance. These findings can be interpreted through a Human Factors and Ergonomics (HFE) lens, although formal HFE interventions were not consistently evaluated in the included studies.

Physical inactivity constitutes a global public health challenge, particularly among older adults. This study investigates the impact of a wearable device-assisted walking program on body composition, muscle strength, and sarcopenia in this population. Eighty healthy older adults (40 men and 40 women), aged 65 and above, were randomly assigned to either an intervention (experimental) group, which participated in a structured walking program utilizing wearable devices, or a non-intervention (control) group, which maintained their habitual activities. The walking program spanned 12 weeks. Key assessments included body composition analysis, handgrip strength measurement, the 5× sit-to-stand test, and the appendicular skeletal muscle index (ASMI). The intervention group exhibited significant improvements in body composition and muscle strength. Skeletal muscle mass (SMM) increased by 5.5% (95% CI: 4.2–6.8%), handgrip strength improved by 13.1% (95% CI: 10.6–15.6%, p < 0.05), and lower limb function improved by 10.5% (p < 0.05). ASMI proved to be an effective and accessible metric for sarcopenia assessment, demonstrating strong correlations with SMM, handgrip strength, and sit-to-stand performance. Wearable devices, such as smartwatches and fitness trackers, provide real-time feedback and enable tailored exercise recommendations, offering a practical and personalized strategy for mitigating sarcopenia. This study confirms that wearable-assisted walking programs effectively improve muscle health and functional performance in older adults, reinforcing their potential for promoting healthy aging.

Introduction: Loneliness presents a significant threat to the mental and physical health of older adults in Indonesia, constituting a pressing public health concern. The study aims to determine the prevalence of loneliness and identify the factors associated with loneliness among older adults in Indonesia. Methods: A cross-sectional analysis was conducted using data from the fifth wave of the Indonesian Family Life Survey (IFLS-5). Sociodemographic, loneliness, and health-related variables were examined through multivariate logistic regression to identify factors associated with loneliness. Results: High levels of loneliness were reported by 11.2% of participants, while 88.8% experienced low levels. Significant factors included lower educational attainment (adjusted odds ratio [AOR] = 2.05, 95% confidence interval [CI] = 1.43–2.93, p < 0.001), life dissatisfaction (AOR = 1.55, 95% CI = 1.16–2.06, p = 0.003), and poor sleep quality (AOR = 2.32, 95% CI: 1.72–3.39, p < 0.001). Geographic location also emerged as a significant factor; participants residing in Sumatra were less likely to report loneliness (AOR = 0.64, 95% CI = 0.42–0.99, p = 0.049). Other variables, such as self-rated health, chronic conditions, religious participation, and cell phone ownership, showed significance in unadjusted models but were no longer statistically significant after adjustments were made. Conclusion: The findings underscore the necessity for targeted interventions to mitigate loneliness among older adults in Indonesia. Such interventions should focus on improving health, enhancing social support, and fostering connectivity, with the aim of elevating the quality of life and alleviating loneliness within this vulnerable population.

Cognitive decline poses a significant challenge for the elderly population globally. The aim of this study was to determine the prevalence of cognitive function and its associated factors among the elderly in the Indonesian family life survey’s fifth wave (IFLS-5) conducted from 2014 to 2015. The study included elderly individuals aged 60 and above, excluding proxy respondents and those with missing data. Various socio-demographic, cognitive function and health-related variables were analyzed, including age, sex, education level, marital status, residence, region, economic status, current employment, self-rated health status, happiness, sleep quality, depression, loneliness, and chronic conditions. Multivariate logistic regression analysis was used to identify the factors associated with cognitive functions among the 2,929 elderly respondents. The results revealed that 44.6% of the respondents reported poor cognitive function. In the unadjusted model, residence (OR: 0.81; 95%CI: 0.70–0.94), region of other islands (OR: 0.66; 95%CI: 0.54–0.81), sleep quality (OR: 0.53; 95%CI: 0.42–0.68), self-rated health status (OR: 1.38; 95%CI: 1.19–1.61), happiness (OR: 1.48; 95%CI: 1.22–1.79), and depression (OR: 1.22; 95%CI: 1.04–1.44) showed significant associations with cognitive function. After adjusting for confounding factors, the association remained significant for residence (OR: 0.77; 95%CI: 0.66–0.89), regions other than Java, Bali, and Sumatra (OR: 0.61; 95%CI: 0.50–0.76), self-rated health (OR: 1.28; 95%CI: 1.09–1.51), happiness (OR: 1.30; 95%CI: 1.06–1.59), and sleep quality (OR: 0.60; 95%CI: 0.47–0.78). These findings emphasize the necessity of interventions aimed at enhancing sleep quality and overall health in order to preserve cognitive function among the elderly, thus potentially improving their quality of life. Implementing comprehensive health programs could significantly enhance the overall quality of life for the aging population, especially the elderly population.

Cancer is one of the most life‐threatening diseases worldwide. Numerous diagnostic and therapeutic techniques, such as nanomaterials‐based cancer detection and imaging‐guided focal therapy, are successfully developed to achieve highly precise cancer theranostic strategies. However, due to unpredictive alterations occurring in cancer cell morphology, a lack of sensitivity and selectivity is a critical challenge among most biomarkers’ detection. To address this issue, instead of targeting proteins or biomarkers, the detection of cancer using whole cell‐based biosensors are ubiquitously discovered through a selective oligonucleotide, so‐called aptamer. Aptamer‐based whole‐cell detection is concurrently engaged with various nanomaterials, such as magnetic beads, gold (Au) nanoparticles, and graphene family to establish a better performance of the biosensor. In this research review, the recent strategies and prospects on whole‐cell cancer detection platform based on electrochemical aptasensors integrated with nanomaterials are thoroughly discussed and summarized. Finally, future challenges and prospects are also provided.

The touchstone for bone replacing or anchoring trauma implants, besides resorption, includes functional ankylosis at a fixation point and replacement by viable functional neo-bone tissues. These parameters redefined the concept of “resorbability” as “bioresorbability.” Interference screws are the most commonly used resorbable anchoring implants for anterior cruciate ligament (ACL) reconstruction (surgery). Over the years, the bioresorbable screw fixation armamentarium has amplified countless choices, but instability and postimplantation complications have raised concerns about its reliability and efficacy. Owing to this interest, in this work, bioactive glass fiber-reinforced plastic (BGFP) composites with (BGFPnb5) and without (BGFP5) niobicoxide composing multiplexed network modifiers are reported as bioresorbable bone-anchoring substitutes. These synergistically designed composites have a fabricated structure of continuous, unidirectional BG fibers reinforced in an epoxy resin matrix using “melt-drawing and microfabrication” technology. The BGFP microarchitecture is comprised of multiplexed oxide components that influence bioactive response in a distinctive lophelia atoll-like apatite formation. Furthermore, it assists in the proliferation, adherence, and migration of bone marrow-derived mesenchymal stem cells. It also exhibits superior physicochemical characteristics such as surface roughness, hydrophilic exposure, distinctive flexural strength, and bioresorption. Thus, it induces restorative bone osseointegration and osteoconduction and actuates periosteum function. In addition, the BGFP influences the reduction of DH5-α Escherichia coli in suspension culture, demonstrating potential antibacterial efficacy. In conclusion, the BGFP composite therapeutic efficacy demonstrates distinctive material characteristics aiding in bone regeneration and restoration that could serve as a pioneer in orthopedic regenerative medicine.

Background and Purpose: Strontium ranelate (SrR) is an oral pharmaceutical agent for osteoporosis. In recent years, numerous unwanted side effects of oral SrR have been revealed. Therefore, its clinical administration and applications are limited. Hereby, this study aims to develop, formulate, and characterize an effective SrR carrier system for spinal bone regeneration. Methods: Herein, glycol chitosan with hyaluronic acid (HA)-based nanoformulation was used to encapsulate SrR nanoparticles (SrRNPs) through electrostatic interaction. Afterward, the poly(ethylene glycol) diacrylate (PEGDA)-based hydrogels were used to encapsulate pre-synthesized SrRNPs (SrRNPs-H). The scanning electron microscope (SEM), TEM, rheometer, Fourier-transform infrared spectroscopy (FTIR), and dynamic light scattering (DLS) were used to characterize prepared formulations. The rabbit osteoblast and a rat spinal decortication models were used to evaluate and assess the developed formulation biocompatibility and therapeutic efficacy. Results: In vitro and in vivo studies for cytotoxicity and bone regeneration were conducted. The cell viability test showed that SrRNPs exerted no cytotoxic effects in osteoblast in vitro. Furthermore, in vivo analysis for new bone regeneration mechanism was carried out on rat decortication models. Radiographical and histological analysis suggested a higher level of bone regeneration in the SrRNPs-H-implanted groups than in the other experimental groups. Conclusion: Local administration of the newly developed formulated SrR could be a promising alternative therapy to enhance bone regeneration in bone-defect sites in future clinical applications.

Introduction: The sensitive interfacial interaction of liquid crystals (LC) holds potential for precision biosensors. In the past, the developments of LC biosensors were limited by the complicated manufacturing process, which hinders commercialization and wider applications of such devices. In this report, we demonstrate the first nano-structural polymeric stabilized-cholesteric LC (PSCLC) thin films to be a new label-free biosensing technology. Methods: The transmission spectra of PSCLC devices were measured by the fiber-optic spectrometer with high-resolution. In addition, a smartphone was set on the stage, and the camera of smartphone was placed and aligned with a set of lenses embedded in the designed stage. To decrease the chromatic and spherical aberrations, an achromatic lens set composition, consisting of both dual-convex lens and concave-plane lens, was applied for measuring and imaging the PSCLC texture. The average and the estimated standard deviation (SD) were used to present quantitative experimental results. The test BSA was immobilized and fulfilled by the ceramic silicon-constructed DMOAP-coated glass in aqueous BSA solutions at 1 mg/mL, 1 μg/mL, and 1 ng/mL. Results: The fabrication process of PSCLC is much simplified compared to previous LC biosensors. The color of PSCLC biosensor altered with the BSA concentration, making detection result easy to read. The detection limit of 1 ng/mL is achieved for label-free PSCLC biosensor. The PSCLC biosensor was able to successfully detect due to the albumin concentration’s alteration, with a linear range of 1 ng/mL– 2 mg/mL. Thus, the label-free-proposed design-integrated nanoscale PSCLCs smartphone-based biosensor could successfully detect BSA in a preclinical urine sample. Conclusion: Finally, we propose a design to integrate the PSCLC biosensor with a smartphone. The PSCLC owns potential for high performance, low cost for detecting various disease biomarkers in home use. Owing to its great potential for high performance and low cost, the PSCLC biosensors can be used as a label-free point-of-care for detecting various disease biomarkers for patients in care homes.

Influenza, pneumonia, and pathogenic infection of the respiratory system are boosted in cold environments. Low temperatures also result in vasoconstriction, restraint of blood flow, and decreased oxygen to the heart, and the risk of a heart attack would increase accordingly. The present face mask fabric fails to preserve its air-filtering function as its electrostatic function vanishes once exposed to water. Therefore, its filtering efficacy would be decreased meaningfully, making it nearly impracticable to reuse the disposable face masks. The urgent requirement for photothermal fabrics is also rising. Nanobased polyethyleneimine–polypyrrole nanopigments (NPP NPs) have been developed and have strong near-infrared spectrum absorption and exceptional photothermal convertible performance. Herein, the mask fabric used PE-fiber-constructed membrane (PEFM) was coated by the binding affinity of the cationic polyethyleneimine component of NPP NPs forming NPP NPs-PEFM. To the best of our knowledge, no study has investigated NPP NP-coated mask fabric to perform infrared red (solar or body) photothermal conversion efficacy to provide biocompatible warming, remotely photothermally captured antipathogen, and antivasoconstriction in vivo. This pioneering study showed that the developed NPP NPs-PEFM could be washable, reusable, breathable, biocompatible, and photothermal conversable for active eradication of pathogenic bacteria. Further, it possesses warming preservation and antivasoconstriction.