An Improved Migratory Birds Optimization Algorithm for Closed- Loop Supply Chain Network Planning in a Fuzzy Environment.

Recycling of used products can provide substantial economic and environmental benefits for supply chain players. However, many factors associated with the design of closed-loop supply chain networks are uncertain in their nature, including demand, opening cost of facilities, capacity of opened facilities, transportation cost, and procurement cost. Therefore, this study proposes a novel fuzzy programming model for closed-loop supply chain network design, which directly relies on the fuzzy ranking method based on a credibility measure. The objective of the presented optimization model aims at minimizing the total cost of the network when selecting the facility locations and transportation routes between the nodes of the network. Based on the problem characteristics, a Migratory Birds Optimization Algorithm with a new product source encoding scheme is developed as a solution approach. The inspiration for the product source coding method originates from the label information of raw material supplier and manufacturing factories on product packaging, as well as the information of each logistics node on the delivery order. This novel encoding method aims to address the limitations of four traditional encoding methods: Prüfer number based encoding, spanning tree based encoding, forest data structure based encoding, and priority based encoding, thereby increasing the likelihood of heuristic algorithms finding the optimal solution. Thirty-five illustrative examples are developed to evaluate the proposed algorithm against the exact optimization method (LINGO) and a Genetic Algorithm, Ant Colony Optimization, Simulated Annealing, which are recognized as well-known metaheuristic algorithms. The results from extensive experiments show that the proposed algorithm is able to provide optimal and good-quality solutions within acceptable computational time even for large-scale numerical examples. The suitability of the model is confirmed through a meticulous sensitivity analysis. This analysis involves adjusting the confidence level incrementally from 50% to 100%, in 5% intervals, with respect to the model's uncertain parameters. Consequently, it yields valuable managerial insights. The outcomes of this research are expected to provide scientific support for related supply chain enterprises and stakeholders.

A qualitative exploration of 40 Hz sound and music for older adults with mild cognitive impairment.

Emerging evidence suggests that 40 Hz auditory stimulation may benefit cognition. Nested within a randomized crossover trial, this qualitative study evaluates the acceptability and experience of three auditory interventions-self-selected music, 40 Hz sound, and a novel combination, termed 40 Hz music-in individuals with Mild Cognitive Impairment (MCI). Semi-structured interviews were conducted with individuals with MCI post-intervention exposure. Findings indicated a preference for self-selected music due to its memory-boosting and emotional benefits, while responses to 40 Hz sound were mixed, with several participants reporting discomfort. The composite 40 Hz music intervention showed promise, striking a balance by enhancing user experience and mitigating the 40 Hz sound's negative aspects. Engagement was influenced by personal music interests, listening routines, and support networks. This study highlights the potential of integrating 40 Hz sound with personalized music to offer a more acceptable 40 Hz auditory intervention for cognition in older adults with MCI.

Electronic Wearable Device Use for Physical Activity in Older Adults: A Qualitative Study.

Innovative solutions to help older adults increase physical activity are critically important. In this qualitative study, we explored older adults' acceptance, capability, and experiences of using three different types of electronic wearable devices over a period of 4-24 weeks for self-monitoring and promoting physical activity. We conducted 23 semistructured interviews with older adults who participated in three physical activity intervention studies. Two researchers analyzed the data using NVivo version 12, applying a directed content analysis that was partially guided by the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Six themes emerged: (1) device learning, (2) hedonic motivation, (3) habit and adherence, (4) facilitating conditions, (5) effort expectancy, and (6) performance expectancy. Although most older adults (95.8%) from this study were first-time users, they reflected positive experiences and generally enjoyed using electronic wearable devices. Participants reported issues related to electronic wearable device functionalities that can be improved to better enhance user experience and motivate increased physical activity. Future research should explore the role of electronic wearable devices in older adults' physical activity with an emphasis on behavioral change over time.

Social Factors and Older Adults' Use of Wearable Activity Trackers: Before and During the First Wave of the COVID-19 Pandemic.

Wearable activity trackers (WAT) have shown high potential to improve health in the aging population. Evidence links various social factors with WAT use in older adults, but mainly within small samples and the prevalence of their WAT use during the COVID-19 is unknown. We reported WAT use prevalence before and during the first wave of COVID-19 and examined social factors associated with WAT use frequency using a nationally representative sample of 3302 U.S. older adults. We used Multinomial Logistic Regression to identify social factors associated with WAT use frequency. Only 10.3% of pre-COVID-19 and 10.9% of first-wave subsamples were frequent WAT users. Older adults aged 75 and above and those with low incomes were less likely to frequently use WATs. Our findings suggest socioeconomic and age disparities in WAT use among older Americans. Future studies should focus on enhancing low-income older adults' WAT adoption to enable equal access to WAT-related health benefits.

Concurrent serum lead levels and cognitive function in older adults.

Introduction: In this study, we investigated the relationship between serum lead levels and cognitive functioning in a sample of older adults in the US. Method: Using the National Health and Nutrition Examination Survey (NHANES) 2011-2013, a total of 768 older adults aged ≥60 years were included in the analysis. Lead concentrations in the whole blood samples were assessed using mass spectrometry. We used the immediate and delayed memory portions of the Consortium to Establish a Registry for Alzheimer's Disease Word Learning Subtest (CERAD-WL), the Animal Fluency Test (AFT), and the Digit Symbol Substitution Test (DSST) to assess the participants' cognitive performance. Using sample averages and standard deviations (SDs), we computed test-specific and global cognition z-scores. To assess the relationships between the quartiles of serum lead levels and cognitive performance, we built multiple linear regression models and adjusted for covariates, including age, sex, race/ethnicity, education, depressive symptoms, alcohol usage, and body mass index. Results: The average age of the participants was 69.6 (SD 6.6) years. Approximately half of the participants were women (52.6%), non-Hispanic white (52.0%), and had completed at least some college education (51.8%). The average serum lead concentration was 1.8 g/dL (SD 1.6) for these participants. The results of multiple linear regression using individuals in the lowest serum lead quantile as a reference group revealed that the serum lead level was not associated with test-specific (CERAD-WL, AFT, and DSST) or global cognitive z-scores. Conclusions: In older adults, concurrent serum lead concentration is not related to cognitive performance. Early or continuous lead exposure may exert a greater effect on the etiology of accelerated cognitive decline with old age.

Facile and Unplugged Surface Plasmon Resonance Biosensor with NIR-Emitting Perovskite Nanocomposites for Fast Detection of SARS-CoV-2.

The emergence of the coronavirus disease 2019 (COVID-19) pandemic prompted researchers to develop portable biosensing platforms, anticipating to detect the analyte in a label-free, direct, and simple manner, for deploying on site to prevent the spread of the infectious disease. Herein, we developed a facile wavelength-based SPR sensor built with the aid of a 3D printing technology and synthesized air-stable NIR-emitting perovskite nanocomposites as the light source. The simple synthesis processes for the perovskite quantum dots enabled low-cost and large-area production and good emission stability. The integration of the two technologies enabled the proposed SPR sensor to exhibit the characteristics of lightweight, compactness, and being without a plug, just fitting the requirements of on-site detection. Experimentally, the detection limit of the proposed NIR SPR biosensor for refractive index change reached the 10-6 RIU level, comparable with that of state-of-the-art portable SPR sensors. In addition, the bio-applicability of the platform was validated by incorporating a homemade high-affinity polyclonal antibody toward the SARS-CoV-2 spike protein. The results demonstrated that the proposed system was capable of discriminating between clinical swab samples collected from COVID-19 patients and healthy subjects because the used polyclonal antibody exhibited high specificity against SARS-CoV-2. Most importantly, the whole measurement process not only took less than 15 min but also needed no complex procedures or multiple reagents. We believe that the findings disclosed in this work can open an avenue in the field of on-site detection for highly pathogenic viruses.

Association of Sleep and Physical Activity Among Older Adults and the Moderation of Chronotype.

This study aimed to examine the associations of both subjectively and objectively measured sleep with physical activity among older adults and to explore the possible moderating role of chronotype in these associations. We included baseline data of 116 community-dwelling older adults without dementia from three prior studies. Pittsburgh Sleep Quality Index and Actigraphy were used as subjective and objective sleep measures, respectively. Physical activity was assessed by the Physical Activity Scale for the Elderly. The Morningness-Eveningness Questionnaire was used to measure chronotype, which was further dichotomized into morning type and non-morning type. Multiple linear regressions were performed to examine the associations, controlling for demographic and health characteristics. We found that better subjective sleep quality, shorter actigraphy sleep duration, and higher actigraphy sleep efficiency were uniquely associated with greater physical activity. Being a morning type might alleviate the adverse association between poor subjective sleep quality and physical activity among older adults.

Boosting the detection performance of severe acute respiratory syndrome coronavirus 2 test through a sensitive optical biosensor with new superior antibody.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus emerged in late 2019 leading to the COVID-19 disease pandemic that triggered socioeconomic turmoil worldwide. A precise, prompt, and affordable diagnostic assay is essential for the detection of SARS-CoV-2 as well as its variants. Antibody against SARS-CoV-2 spike (S) protein was reported as a suitable strategy for therapy and diagnosis of COVID-19. We, therefore, developed a quick and precise phase-sensitive surface plasmon resonance (PS-SPR) biosensor integrated with a novel generated anti-S monoclonal antibody (S-mAb). Our results indicated that the newly generated S-mAb could detect the original SARS-CoV-2 strain along with its variants. In addition, a SARS-CoV-2 pseudovirus, which could be processed in BSL-2 facility was generated for evaluation of sensitivity and specificity of the assays including PS-SPR, homemade target-captured ELISA, spike rapid antigen test (SRAT), and quantitative reverse transcription polymerase chain reaction (qRT-PCR). Experimentally, PS-SPR exerted high sensitivity to detect SARS-CoV-2 pseudovirus at 589 copies/ml, with 7-fold and 70-fold increase in sensitivity when compared with the two conventional immunoassays, including homemade target-captured ELISA (4 × 103 copies/ml) and SRAT (4 × 104 copies/ml), using the identical antibody. Moreover, the PS-SPR was applied in the measurement of mimic clinical samples containing the SARS-CoV-2 pseudovirus mixed with nasal mucosa. The detection limit of PS-SPR is calculated to be 1725 copies/ml, which has higher accuracy than homemade target-captured ELISA (4 × 104 copies/ml) and SRAT (4 × 105 copies/ml) and is comparable with qRT-PCR (1250 copies/ml). Finally, the ability of PS-SPR to detect SARS-CoV-2 in real clinical specimens was further demonstrated, and the assay time was less than 10 min. Taken together, our results indicate that this novel S-mAb integrated into PS-SPR biosensor demonstrates high sensitivity and is time-saving in SARS-CoV-2 virus detection. This study suggests that incorporation of a high specific recognizer in SPR biosensor is an alternative strategy that could be applied in developing other emerging or re-emerging pathogenic detection platforms.

Promoting sleep in low-income older adults with disabilities: Comparing CAPABLE with a social engagement control.

Sleep plays a vital role in older adults' health. The Community Aging in Place-Advancing Better Living for Elders (CAPABLE) trial, conducted in Maryland between 2012 and 2016, is a 5-month biobehavioral environmental intervention study to reduce functional disabilities in 300 low-income older adults. Individual and environmental factors impacting sleep were addressed in CAPABLE. This secondary data analysis was to test the preliminary effect of CAPABLE on actigraph-measured sleep, compared with a social engagement control in 73 CAPABLE participants with pretest-posttest actigraph data. Participants in this analysis were aged 75.8±7.5 years; 86.3% of them were females and 84.9% were Black/African Americans. Both CAPABLE intervention and social engagement control improved sleep efficiency and reduced sleep onset latency. The effect of CAPABLE on sleep was comparable to social engagement. These findings underline the importance of promoting physical function and maintaining social activity for sleep in low-income older adults with disabilities.

Anti-inflammatory mouthwashes for the prevention of oral mucositis in cancer therapy: an integrative review and meta-analysis.

PURPOSE: Mucositis is severely painful and often reported as one of the most distressing adverse effects of cancer therapy; it is a significant threat to quality of life as well as life itself. Anti-inflammatory agents may modulate physiologic mechanisms that perpetuate mucositis and be useful in prevention efforts. Because systemic anti-inflammatory agents are not appropriate for many patients, locally acting agents (mouthwashes) may be more feasible for use. This review and meta-analysis evaluates the role that anti-inflammatory mouthwashes have in preventing or reducing oral mucositis associated with chemotherapy and radiation therapy. METHODS: A systematic literature review was conducted to identify studies evaluating the efficacy of anti-inflammatory mouthwashes to prevent therapy-associated mucositis. Meta-analysis was conducted to determine efficacy in preventing any mucositis and dose-limiting mucositis. RESULTS: Eight peer-reviewed publications were identified; corticosteroid and nonsteroidal anti-inflammatory mouthwashes are effective in reducing overall incidence of mucositis and are associated with lower severity of mucositis. Meta-analysis reveals significant reduction in symptomatic mucositis incidence (OR 6.00, 95% CI 4.39-8.20, p < 0.0001) and reduction of dose-limiting mucositis (OR 2.12, 95% CI 1.07-4.28, p = 0.032). CONCLUSION: Mouthwashes containing anti-inflammatory agents are a potential effective means to prevent or reduce mucositis associated with cancer therapy. There are limited adverse effects from these agents, and adherence is high, indicating safety and feasibility of use. Anti-inflammatory mouthwashes should be considered for supportive care in persons at risk for mucositis and must be further evaluated to investigate efficacy across multiple chemotherapy agents, adverse effects, and impacts on symptoms, pain, and quality of life.

Willingness to Participate in Clinical Research Among Individuals With Cognitive Impairment.

This secondary analysis examined (1) factors associated with willingness to participate in clinical research for cognitive health among individuals with cognitive impairment and their care partners, and (2) concordance regarding such willingness between individuals with cognitive impairment and their care partners (dyads). Neuropsychological factors and willingness to participate in clinical research were collected using self-reported questionnaires. Participants' sociodemographic and clinical information was extracted from the University of Pittsburgh Alzheimer's Disease Research Center record. Binary logistic regression and Cohen's kappa coefficient analyses were performed. Greater trust in medical researchers (p = 0.031, B = 0.127) and more severe cognitive impairment (p = 0.009, B = -0.289) were associated with willingness to participate in clinical research among individuals with cognitive impairment. Dyadic agreement on willingness to have the individual with cognitive impairment enroll in clinical research was poor to fair (κ = 0.380). Findings suggest that individuals with cognitive impairment with greater trust in health professionals are more likely to agree to clinical research participation. Nurses and other health care providers who counsel individuals with cognitive impairment and their care partners should work to build trusting relationships with participants and be mindful of how increased trust can alter power dynamics between participants and health care professionals. [Research in Gerontological Nursing, 15(2), 76-84.].

Preoperative Deprescribing for Medical Optimization of Older Adults Undergoing Surgery: A Systematic Review.

OBJECTIVE: To summarize the evidence for preoperative deprescribing and its effect on postoperative outcomes in older adults undergoing surgery. DESIGN: Systematic review. SETTING AND PARTICIPANTS: All available studies. METHODS: We searched EMBASE, Cumulative Index of Nursing and Allied Health (CINAHL), and PubMed from inception to January 12, 2021. Settings included outpatient settings during the waiting period for surgery (ie, preoperative clinic) through to the preoperative period in the hospital. Participants who were older adults, aged ≥65 years, undergoing planned or emergency surgery with deprescribing or medication-related interventions were included for review. RESULTS: We identified 3 different methods of deprescribing intervention delivery during the preoperative period: geriatrician-led (n = 2), interdisciplinary team-led (n = 8), and pharmacist-led (n = 6). Outcomes were related to health care utilization, patient outcomes, and medication changes; however, results were difficult to compare because of heterogeneous outcomes within the topics. Overall, results were either positive or neutral. CONCLUSIONS AND IMPLICATIONS: The evidence for deprescribing during the preoperative period for older adults undergoing surgery is weak because of the heterogeneity of intervention delivery and outcomes, inclusion of nonoperative cases in some studies, and low power. This review highlights the need for future research, which may consider the following: (1) interdisciplinary approach, (2) coordination of deprescribing efforts with primary care provider from the waiting period for surgery up to after hospital discharge, and (3) validated deprescribing criteria such as STOPP/START that is easy to implement. It is important to note that results yielded positive and neutral results, not negative ones, which should reassure clinicians to implement deprescribing for older adults during the surgical period. Additionally, policy initiatives such as integrated electronic medical records or increased reimbursement of deprescribing efforts for primary care providers and/or hospitals should be pursued to prevent adverse postoperative events for this population.

Secondhand smoke is positively associated with pre-frailty and frailty in non-smoking older adults.

Introduction: Either exposure to secondhand smoke (SHS) or frailty has been linked to adverse health outcomes in nonsmoking adults. However, their relationship is rarely studied. The purpose of this study is to examine the association between serum cotinine level and frailty status among non-smoking older adults. Method: The study population consisted of 2,703 older adults aged ≥60 from the National Health and Nutrition Examination Survey 2011-2014. Non-smokers were included based on (1) a serum cotinine level ≤ 10 ng/mL and 2) a response of "no" to the question, "Do you currently smoke?" Frailty status was measured based on the Fried Phenotype and had three groups- robust, pre-frailty, and frailty. Multinomial logistic regression models were constructed to examine the association between serum cotinine level quartile and frailty status, controlling for age, sex, race/ethnicity, education, depressive symptoms, alcohol use, and systolic blood pressure. Results: About half of the participants (median age 70.0 years, range 64-78) were female (53.6%), non-Hispanic White (48.3%), and completed some college and above (50.1%). Multinomial logistic regression with a reference group being those in the 1st quantile (the lowest) of serum cotinine level showed that participants in the 4th quartile (the highest) of serum cotinine level had increased odds of pre-frailty vs. robust (OR 1.522, 95% confidence interval [CI] 1.060, 2.185, P = 0.023) as well as increased odds of frailty vs. robust (OR 2.349, 95% CI 1.081, 5.107, P = 0.031). Conclusions: Higher serum cotinine level is associated with increased risk of pre-frailty and frailty versus robust in non-smoking older adults. Prevention and reduction of SHS in older adults may help protect them from developing pre-frailty or frailty.

A Simple Phase-Sensitive Surface Plasmon Resonance Sensor Based on Simultaneous Polarization Measurement Strategy.

The SPR phenomenon results in an abrupt change in the optical phase such that one can measure the phase shift of the reflected light as a sensing parameter. Moreover, many studies have demonstrated that the phase changes more acutely than the intensity, leading to a higher sensitivity to the refractive index change. However, currently, the optical phase cannot be measured directly because of its high frequency; therefore, investigators usually have to use complicated techniques for the extraction of phase information. In this study, we propose a simple and effective strategy for measuring the SPR phase shift based on phase-shift interferometry. In this system, the polarization-dependent interference signals are recorded simultaneously by a pixelated polarization camera in a single snapshot. Subsequently, the phase information can be effortlessly acquired by a phase extraction algorithm. Experimentally, the proposed phase-sensitive SPR sensor was successfully applied for the detection of small molecules of glyphosate, which is the most frequently used herbicide worldwide. Additionally, the sensor exhibited a detection limit of 15 ng/mL (0.015 ppm). Regarding its simplicity and effectiveness, we believe that our phase-sensitive SPR system presents a prospective method for acquiring phase signals.

Auricular Point Acupressure Smartphone Application to Manage Chronic Musculoskeletal Pain: A Longitudinal, One-Group, Open Pilot Trial.

BACKGROUND: Chronic musculoskeletal pain (CMP) is the most common self-reported chronic pain condition. Current treatment for CMP is limited. METHODS: This was a two-phase study. In Phase 1, three auricular point acupressure (APA)-naïve participants were recruited to explore their experiences of APA and a smartphone app was developed based on their feedback. In Phase 2, a prospective longitudinal study was used to examine the effectiveness of the smartphone app to self-manage CMP. RESULTS: Phase 1 resulted in the successful development of the APA smartphone app. In Phase 2, after four weeks of APA, participants reported reduced pain intensity (30%), pain interference (35%), and disability (40%), as well as improved physical function (47%). The mean score for the participants' perception of treatment efficacy was 4.94 (SD = 2.08, scale of 0-7) indicating that approximately 70% of participants rated global improvements with noticeable changes. The majority (88%, n = 22) of the participants were satisfied with the treatment: 32% [8] were very satisfied and 56% [n = 14] were somewhat satisfied. The average frequency of pressing APA seeds per day was 2.93 times (SD = 2.27, range 0-10) and 1.60 minutes per time (SD = 2.64, range 0-10); the participants were able to adhere to the suggested pressing time per day, although they only pressed the ear points about 53% of the suggested time. CONCLUSION: It is feasible for individuals to learn APA from the smartphone app and successfully self-administer APA to manage their pain. Participants found the app useful and were satisfied with the information provided through the app.

Self-efficacy in symptom management for adolescents and young adults with cancer: a systematic review.

BACKGROUND: Adolescents and young adults (AYAs) have more frequent and intense adverse effects from cancer therapy than other age groups. Self-efficacy, the ability for persons to maintain health-related behavior change, may assist with symptom management but the role it plays in AYAs with cancer has not been thoroughly investigated. This review explores the role that self-efficacy has in symptom management for AYAs with cancer and provides guidance for clinicians to utilize self-efficacy as a means to reduce side effects of therapy. METHODS: A systematic review of peer-reviewed literature was conducted to identify works discussing self-efficacy and symptom management for AYAs with cancer. Five databases were searched with key terms and articles that discussed relationships between self-efficacy and cancer therapy symptoms were retained for analysis. FINDINGS: Twelve manuscripts representing 1180 individuals age 12 to 43 years were identified. Self-efficacy was found to be related to (1) health management behaviors, (2) psychosocial health, (3) sexual and reproductive health, and (4) physical symptoms. Self-efficacy had direct correlations with physical activity, nutritional intake, symptom regulation, mental health, sexual health, and fertility preservation. The included studies did not find significant relationships with medication adherence or pain management. DISCUSSION: Self-efficacy is an attribute that impacts behavior change, health maintenance, and overall wellness and can be changed over time and through interventions to improve symptoms of cancer therapy. Self-efficacy should be evaluated as a construct in relevant studies aimed at improving side effects of cancer therapy to better understand outcomes from interventions. Symptoms, toxicities, and adverse effects of cancer therapy may be improved by increasing self-efficacy of patients.

An innovative application of time-domain spectroscopy on localized surface plasmon resonance sensing.

White-light scanning interferometry (WLSI) is often used to study the surface profiles and properties of thin films because the strength of the technique lies in its ability to provide fast and high resolution measurements. An innovative attempt is made in this paper to apply WLSI as a time-domain spectroscopic system for localized surface plasmon resonance (LSPR) sensing. A WLSI-based spectrometer is constructed with a breadboard of WLSI in combination with a spectral centroid algorithm for noise reduction and performance improvement. Experimentally, the WLSI-based spectrometer exhibits a limit of detection (LOD) of 1.2 × 10-3 refractive index units (RIU), which is better than that obtained with a conventional UV-Vis spectrometer, by resolving the LSPR peak shift. Finally, the bio-applicability of the proposed spectrometer was investigated using the rs242557 tau gene, an Alzheimer's and Parkinson's disease biomarker. The LOD was calculated as 15 pM. These results demonstrate that the proposed WLSI-based spectrometer could become a sensitive time-domain spectroscopic biosensing platform.

The deviation of growth model for transparent conductive graphene.

An approximate growth model was employed to predict the time required to grow a graphene film by chemical vapor deposition (CVD). Monolayer graphene films were synthesized on Cu foil at various hydrogen flow rates from 10 to 50 sccm. The sheet resistance of the graphene film was 310Ω/□ and the optical transmittance was 97.7%. The Raman intensity ratio of the G-peak to the 2D peak of the graphene film was as high as ~4 when the hydrogen flow rate was 30 sccm. The fitting curve obtained by the deviation equation of growth model closely matches the data. We believe that under the same conditions and with the same setup, the presented growth model can help manufacturers and academics to predict graphene growth time more accurately.