Enhancing antibody detection sensitivity in lateral flow immunoassays using endospores of Bacillus subtilis as signal amplifiers.

Antibody detection is the critical first step for tracking the spread of many diseases including COVID-19. Lateral flow immunoassay (LFIA) is the most commonly used method for rapid antibody detection because it is easy-to-use and inexpensive. However, LFIA has limited sensitivity when gold nanoparticles (AuNPs) are used as the signals. In this study, the endospores of Bacillus subtilis were used in combination with AuNP in a LFIA to detect antibodies. The endospores serve as a signal amplifier. The detection limit was about 10-8 M for anti-beta galactosidase antibody detection whereas the detection limit of conventional LFIA is about 10-6 M. Furthermore, the proposed methods have no additional user steps compared with the traditional LFIA. This method, therefore, improved the sensitivity 100-fold without compromising any advantages of LFIA. We believe that the proposed method will be useful for detection of antibodies against HIV, Zika virus, SARS-CoV-2, and so on.

Simulation-based holistic education in physiotherapy interns to increase empathy toward older adults and individuals with disabilities.

BACKGROUND: The proportion of older adults and individuals with disabilities in the general population increases each year. Thus, clinical clerkships designed for physiotherapy interns should provide more than simply knowledge and skills. For such interns to be able to handle the requirements of their future jobs, clerkships must enable them to develop empathy and positive attitudes toward patients. This study investigated the effect of simulation-based, holistic health-care education on physiotherapy interns' empathy, attitudes, and knowledge.  METHODS: A parallel-group design. Thirty physiotherapy interns from a medical institution were enrolled as participants, with experimental and control groups each comprising 15 participants. Both groups received standard clinical training. However, the experimental group received an additional 3.5 h of simulation-based holistic health-care education. The Jefferson Scale of Empathy, Kogan's Attitudes Toward Old People Scale, the Attitudes Towards the Elderly Scale, the Knowledge About Aging Scale, Knowledge of the Situation of Older People Scale, Perceptions of Working with Older People Scale, and Care Willingness Scale were used in a pretest and posttest. RESULTS: After the intervention period, we observed substantial between-group differences of 6.4 points on the Jefferson Scale of Empathy (p = 0.001), 7.7 points on Kogan's Attitudes Toward Old People Scale (p = 0.002), 3.5 points on the Attitudes Toward the Elderly Scale (p = 0.002), 2.5 points on Knowledge About Aging (p = 0.055), 4.5 points on the Knowledge of the Situation of Older People Scale (p < 0.001), and 2.1 points on Perceptions of Working with Older People Scale (p = 0.046). CONCLUSION: Simulation-based, holistic health-care education can significantly improve the empathy, knowledge, and attitudes of physiotherapy interns.

Effectiveness and Superiority of Rehabilitative Treatments in Enhancing Motor Recovery Within 6 Months Poststroke: A Systemic Review.

OBJECTIVE: To investigate the effects of various rehabilitative interventions aimed at enhancing poststroke motor recovery by assessing their effectiveness when compared with no treatment or placebo and their superiority when compared with conventional training program (CTP). DATA SOURCE: A literature search was based on 19 Cochrane reviews and 26 other reviews. We also updated the searches in PubMed up to September 30, 2017. STUDY SELECTION: Randomized controlled trials associated with 18 experimented training programs (ETP) were included if they evaluated the effects of the programs on either upper extremity (UE) or lower extremity (LE) motor recovery among adults within 6 months poststroke; included ≥10 participants in each arm; and had an intervention duration of ≥10 consecutive weekdays. DATA EXTRACTION: Four reviewers evaluated the eligibility and quality of literature. Methodological quality was assessed using the PEDro scale. DATA SYNTHESIS: Among the 178 included studies, 129 including 7450 participants were analyzed in this meta-analysis. Six ETPs were significantly effective in enhancing UE motor recovery, with the standard mean differences (SMDs) and 95% confidence intervals outlined as follow: constraint-induced movement therapy (0.82, 0.45-1.19), electrostimulation (ES)-motor (0.42, 0.22-0.63), mirror therapy (0.71, 0.22-1.20), mixed approach (0.21, 0.01-0.41), robot-assisted training (0.51, 0.22-0.80), and task-oriented training (0.57, 0.16-0.99). Six ETPs were significantly effective in enhancing LE motor recovery: body-weight-supported treadmill training (0.27, 0.01-0.52), caregiver-mediated training (0.64, 0.20-1.08), ES-motor (0.55, 0.27-0.83), mixed approach (0.35, 0.15-0.54), mirror therapy (0.56, 0.13-1.00), and virtual reality (0.60, 0.15-1.05). However, compared with CTPs, almost none of the ETPs exhibited significant SMDs for superiority. CONCLUSIONS: Certain experimented interventions were effective in enhancing poststroke motor recovery, but little evidence supported the superiority of experimented interventions over conventional rehabilitation.

Progressive shoulder-neck exercise on cervical muscle functions in middle-aged and senior patients with chronic neck pain.

BACKGROUND: Although neck pain is a common musculoskeletal disorder, there is no consensus on suitable exercise methods for middle-aged and senior patients with chronic neck pain. Therefore, this study investigated the effectiveness of a 6-week shoulder-neck exercise intervention program on cervical muscle function improvement in patients aged 45 years or older with chronic neck pain. AIM: The aim of the present study was to evaluate the effects of progressive shoulder-neck exercise on cervical muscle functions of middle-aged and senior patients with chronic neck pain. DESIGN: A randomized controlled single-blind trial. SETTING: Rehabilitation department of a hospital. POPULATION: A total of 72 subjects aged ≥45 years with chronic neck pain were randomly allocated to either an experimental group (N.=36; age 57.3±8.74 years) or a control group (N.=36; age 58.15±8.17 years). METHODS: The control group received only traditional physiotherapy, whereas the experimental group participated in a 6-week shoulder-neck exercise program consisting of cranio-cervical flexion and progressive resistance exercises in addition to receiving traditional physiotherapy. The muscle functions of subjects in both groups were tested before the experiment and also after the intervention program. The pretest and posttest measured the cranio-cervical flexion test (CCFT) and the superficial cervical muscle strength. RESULTS: After the intervention, the experimental group had a 56.48 point improvement in the performance index of the CCFT (P<0.001), a 1.71-kg improvement in superficial neck flexor strength (P<0.001), and a 2.52-kg improvement in superficial neck extensor strength (P<0.001), indicating that in 6-week intervention significantly influenced the improvement of cervical muscle functions. CONCLUSIONS: This study confirmed that the 6-week progressive shoulder-neck exercise program can effectively improve cervical muscle function in middle-aged and senior patients with chronic neck pain. CLINICAL REHABILITATION IMPACT: Progressive shoulder-neck exercise might provide positive effect on deep and superficial neck muscle strength in patients with chronic neck pain. Therefore, this study may serve as a reference for the clinical rehabilitation of patients with chronic neck pain.

Location-aware dynamic session-key management for grid-based Wireless Sensor Networks.

Security is a critical issue for sensor networks used in hostile environments. When wireless sensor nodes in a wireless sensor network are distributed in an insecure hostile environment, the sensor nodes must be protected: a secret key must be used to protect the nodes transmitting messages. If the nodes are not protected and become compromised, many types of attacks against the network may result. Such is the case with existing schemes, which are vulnerable to attacks because they mostly provide a hop-by-hop paradigm, which is insufficient to defend against known attacks. We propose a location-aware dynamic session-key management protocol for grid-based wireless sensor networks. The proposed protocol improves the security of a secret key. The proposed scheme also includes a key that is dynamically updated. This dynamic update can lower the probability of the key being guessed correctly. Thus currently known attacks can be defended. By utilizing the local information, the proposed scheme can also limit the flooding region in order to reduce the energy that is consumed in discovering routing paths.