Enhancing COVID-19 booster vaccination among the elderly through text message reminders.

The BOOST (Booster promotion for older outpatients using SMS text reminders) program at Taipei Veterans General Hospital assessed the effectiveness of text message reminders in enhancing COVID-19 booster vaccination rates among the elderly, guided by the Health Belief Model (HBM). Targeting patients aged 65 and above, eligible yet unvaccinated for a COVID-19 booster, this cohort study sent personalized reminders a week prior to their scheduled appointments between April 18, 2022, and May 12, 2022, acting as cues to action to enhance vaccination uptake by overcoming perceived barriers and raising awareness of benefits. Over 5 weeks, the study observed a 38% increase in vaccination rate among 3,500 eligible patients, markedly surpassing the concurrent national rate increase of 4% for the same demographic. The majority of vaccinations occurred within two weeks after the reminder, illustrating the effectiveness of the strategy. Cox regression analysis identified age and time since last vaccination as significant predictors of responsiveness, with those aged 65-74 and 75-84 showing higher uptake, particularly when reminders were sent within 4 months after the last dose. A single reminder proved to be effective. The findings of this study demonstrate the potential of SMS reminders to promote COVID-19 vaccination among the elderly through the strategic use of HBM principles, suggesting a feasible and effective approach to public health communication.

Bibliographic analysis of Psychiatric publications in Taiwan: An analysis of Web of Science subject category from 1970 to 2023.

BACKGROUND: Mental diseases continue to rank among the top 10 leading causes of global burden. Psychiatric research is a crucial avenue through which mental healthcare can be enhanced. Taiwanese academics have constantly concentrated their efforts on psychiatric research and published their findings. A systematic examination of these papers will provide an assessment of the present state and contribute to the formulation of future policies for psychiatric research in Taiwan. We assessed psychiatric papers from Taiwan using the Web of Science (WoS) database. METHODS: Academic papers in the Psychiatry category of the WoS database from Taiwan were retrieved and evaluated. The analysis included papers published in Science Citation Index-Expanded and Social Science Citation Indexed journals between 1970 and 2023, excluding meeting abstracts and corrections. RESULTS: Of the 1,049,281 papers published globally in the psychiatry category of the WoS system between 1970 and 2023, 6,117 (0.58%) were published in Taiwan. Taiwan ranked twenty-sixth globally in terms of number of papers published. These publications have received 150,519 citations. Over the past 53 years, both the annual number of psychiatric papers from Taiwan and their citations received have significantly and rapidly increased. However, the average impact factor of publications remained constant over time. CONCLUSION: Over the last five decades, the number of psychiatric publications from Taiwan has increased. However, the average impact factor of these published papers did not increase over time. Investing in advanced research infrastructure and interdisciplinary projects may improve the quality and relevance of Taiwanese psychiatric research publications, potentially increasing their global citations and impact.

Smart cost estimation: Empirical case for extra-high voltage transmission towers.

Nowadays, electricity has become an integral part of human lives. Most of our daily appliances, tools, and personal belongings are inseparable from electricity. To ensure a proper electricity distribution with an efficient transfer capability, Extra-High Voltage (EHV) transmission towers are needed. To design such a structure, it is of utmost importance to account for the cost of said tower. However, the process to estimate the cost of EHV transmission towers is both time-consuming and strenuous on human labor since a lot of consideration have to be taken. To overcome this, an imperative requirement exists for a prompt, precise, and automated tool to replace the existing manual cost estimation method. This research endeavor aims to craft a tool using support vector regression (SVR) with the capacity to prognosticate construction expenses for projects involving EHV transmission towers. The exploration of pertinent literature has enabled us to amass historical data and delineate the attributes essential for estimating costs linked to EHV transmission tower construction. The investigation delves into a comprehensive dataset spanning the past decade in Taiwan. Within this timeframe, 317 EHV transmission towers were erected between 2009 and 2019. However, 79 of these instances are excluded due to incomplete information, thereby yielding 238 viable datasets (comprising 75 % of the overall total) to underpin the development of the SVR model. By configuring the parameters to C = 0.2 and γ = 0.1, followed by 5-fold cross-validation, the resultant SVR model attains a remarkable prediction accuracy of 97.91 %, on average. As a result, the proposed SVR-based model can effectively and accurately predict the cost of constructing an EHV transmission tower project and reduce the time spent on estimation, thus contributing to the enhancement of the resilience and robustness of the transmission network system.

Understanding the factors associated with nurse employment in clinics: Experiences in Taiwan.

BACKGROUND: The shortage and distribution of nurses affect healthcare access in aging societies. Limited research has explored the nursing workforce in clinics, which is vital for healthcare delivery. This study aimed to investigate the shortage and distribution of nurses in clinics in Taiwan, considering geographical, institutional, and specialty variations. METHODS: We conducted a cross-sectional analysis of the national nursing workforce in Western medicine clinics in Taiwan using open government data. The nursing practice rate (NPR) was calculated. The ratio of clinics employing nurses (RCN) was determined by calculating the percentage of clinics with nurses in each category. A logistic regression model was fitted to examine the factors associated with nurse employment, including urbanization level and different specialty clinics. Adjusted odds ratios (OR) and 95% CIs were calculated. RESULTS: The study revealed an overall NPR as low as 59.1%, and a decreasing trend with age. Among the 11 706 clinics in the study, nearly a quarter did not employ nurses, with an overall RCN of 72.3%. Urbanization level and clinic specialty were associated with nurse employment ( p < 0.05). After adjusting for urbanization level, the fitted regression model identified the top three specialties as plastic surgery (OR = 11.37, RCN = 96.8%), internal medicine (OR = 1.94, RCN = 84.1%), and orthopedics (OR = 1.89, RCN = 83.6%), while the bottom three were otolaryngology (OR = 0.59, RCN = 61.5%), psychiatry (OR = 0.49, RCN = 57.1%), and rehabilitation medicine (OR = 0.30, RCN = 45.2%). Nurses were more likely to be employed in areas at urbanization level 1 (OR = 1.17), 3 (OR = 1.37), and 6 (OR = 1.48), which represent highly urbanized areas within the urban, suburban, and rural categories, respectively, than in urbanization level 4. CONCLUSION: Clinics in Taiwan showed nursing shortages and maldistribution, with 72.3% RCN and variations based on urbanization and specialty. These factors may be considered in nursing research conducted in other countries to inform future workforce planning.

Integration and Assessment of ChatGPT in Medical Case Reporting: A Multifaceted Approach.

ChatGPT, a large language model, has gained significance in medical writing, particularly in case reports that document the course of an illness. This article explores the integration of ChatGPT and how ChatGPT shapes the process, product, and politics of medical writing in the real world. We conducted a bibliometric analysis on case reports utilizing ChatGPT and indexed in PubMed, encompassing publication information. Furthermore, an in-depth analysis was conducted to categorize the applications and limitations of ChatGPT and the publication trend of application categories. A total of 66 case reports utilizing ChatGPT were identified, with a predominant preference for the online version and English input by the authors. The prevalent application categories were information retrieval and content generation. Notably, this trend remained consistent across different months. Within the subset of 32 articles addressing ChatGPT limitations in case report writing, concerns related to inaccuracies and a lack of clinical context were prominently emphasized. This pointed out the important role of clinical thinking and professional expertise, representing the foundational tenets of medical education, while also accentuating the distinction between physicians and generative artificial intelligence.

Medication-Seeking Behaviors and Correlated Characteristics of Zolpidem Users in Taiwan-A Shared Patient Network Analysis.

Increasing insomnia signals a public health problem, alongside rising zolpidem use. This study investigates the factors behind the disproportionate rise in zolpidem prescriptions in Taiwan. It aims to identify the determinants of high-dose zolpidem users in Taiwan's Yilan County and employ an innovative approach to outline their medication-seeking patterns, using Taiwan's healthcare database. The associations between sociodemographic and clinical factors and low-dose and high-dose users were analyzed using multiple logistic regression. Social network analysis was employed to explore medication-seeking behavior among these user groups across different healthcare institutions. Of our 5290 participants, 22.82% are high-dose users. This study found that males face a 1.33-fold higher risk and that having chronic diseases is a major risk factor, contributing to a more than four-times higher risk (adjusted OR = 4.27, 95% CI 1.55-11.70) of being a high-dose user of zolpidem. A social network analysis showed a higher density (0.52) for high-dose users, revealing their frequent visits, for zolpidem, to different healthcare institutions. Psychiatrists have a central role in both low-dose and high-dose user networks, with a greater influence on low-dose users (64.4) than high-dose users (32.2). In sum, patients seeking high doses of zolpidem are driven by personal factors. Future efforts should include regulated dispensing, public health education, and specialized training for healthcare professionals on drug addiction.

Fostering relational autonomy in end-of-life care: a procedural approach and three-dimensional decision-making model.

Respect for patient autonomy is paramount in resolving ethical tensions in end-of-life care. The concept of relational autonomy has contributed to this debate; however, scholars often use this concept in a fragmented manner. This leads to partial answers on ascertaining patients' true wishes, meaningfully engaging patients' significant others, balancing interests among patients and significant others, and determining clinicians' obligations to change patients' unconventional convictions to enhance patient autonomy. A satisfactory solution based on relational autonomy must incorporate patients' competence (apart from decisional capacity), authenticity (their true desires or beliefs) and the involvement level of their significant others. To that end, we argue that John Christman's procedural approach to relational autonomy provides critical insights, such as the diachronic or socio-historical personhood, sustained critical reflection and his recent explication of the nature of asymmetrical relationships and helpful interlocutors. This study reviews Christman's account, proposes minor modifications and advocates for an integrated three-dimensional model for medical decision-making. Clarifying the relationship among the three elements promotes an ethical framework with a coherent understanding of relational autonomy. This model not only provides a descriptive and normative framework for end-of-life care practice but also reconsiders the nature of the clinician-patient relationship and its normative implications. We further present a case study to illustrate the merits of our proposed model. Altogether, our proposal will help navigate complex medical decision-making, foster trust and negotiate shared values between patients and their significant others, particularly in end-of-life care.

Decoding and reconstructing disease relations between dry eye and depression: a multimodal investigation comprising meta-analysis, genetic pathways and Mendelian randomization.

INTRODUCTION: The clinical presentations of dry eye disease (DED) and depression (DEP) often comanifest. However, the robustness and the mechanisms underlying this association were undetermined. OBJECTIVES: To this end, we set up a three-segment study that employed multimodality results (meta-analysis, genome-wide association study [GWAS] and Mendelian randomization [MR]) to elucidate the association, common pathways and causality between DED and DEP. METHODS: A meta-analysis comprising 26 case-control studies was first conducted to confirm the DED-DEP association. Next, we performed a linkage disequilibrium (LD)-adjusted GWAS and targeted phenotype association study (PheWAS) in East Asian TW Biobank (TWB) and European UK Biobank (UKB) populations. Single-nucleotide polymorphisms (SNPs) were further screened for molecular interactions and common pathways at the functional gene level. To further elucidate the activated pathways in DED and DEP, a systemic transcriptome review was conducted on RNA sequencing samples from the Gene Expression Omnibus. Finally, 48 MR experiments were implemented to examine the bidirectional causation between DED and DEP. RESULTS: Our meta-analysis showed that DED patients are associated with an increased DEP prevalence (OR = 1.83), while DEP patients have a concurrent higher risk of DED (OR = 2.34). Notably, cross-disease GWAS analysis revealed that similar genetic architecture (rG = 0.19) and pleiotropic functional genes contributed to phenotypes in both diseases. Through protein-protein interaction and ontology convergence, we summarized the pleiotropic functional genes under the ontology of immune activation, which was further validated by a transcriptome systemic review. Importantly, the inverse variance-weighted (IVW)-MR experiments in both TWB and UKB populations (p value <0.001) supported the bidirectional exposure-outcome causation for DED-to-DEP and DEP-to-DED. Despite stringent LD-corrected instrumental variable re-selection, the bidirectional causation between DED and DEP remained. CONCLUSION: With the multi-modal evidence combined, we consolidated the association and causation between DED and DEP.

Assessing question characteristic influences on ChatGPT's performance and response-explanation consistency: Insights from Taiwan's Nursing Licensing Exam.

BACKGROUND: Investigates the integration of an artificial intelligence tool, specifically ChatGPT, in nursing education, addressing its effectiveness in exam preparation and self-assessment. OBJECTIVE: This study aims to evaluate the performance of ChatGPT, one of the most promising artificial intelligence-driven linguistic understanding tools in answering question banks for nursing licensing examination preparation. It further analyzes question characteristics that might impact the accuracy of ChatGPT-generated answers and examines its reliability through human expert reviews. DESIGN: Cross-sectional survey comparing ChatGPT-generated answers and their explanations. SETTING: 400 questions from Taiwan's 2022 Nursing Licensing Exam. METHODS: The study analyzed 400 questions from five distinct subjects of Taiwan's 2022 Nursing Licensing Exam using the ChatGPT model which provided answers and in-depth explanations for each question. The impact of various question characteristics, such as type and cognitive level, on the accuracy of the ChatGPT-generated responses was assessed using logistic regression analysis. Additionally, human experts evaluated the explanations for each question, comparing them with the ChatGPT-generated answers to determine consistency. RESULTS: ChatGPT exhibited overall accuracy at 80.75 % for Taiwan's National Nursing Exam, which passes the exam. The accuracy of ChatGPT-generated answers diverged significantly across test subjects, demonstrating a hierarchy ranging from General Medicine at 88.75 %, Medical-Surgical Nursing at 80.0 %, Psychology and Community Nursing at 70.0 %, Obstetrics and Gynecology Nursing at 67.5 %, down to Basic Nursing at 63.0 %. ChatGPT had a higher probability of eliciting incorrect responses for questions with certain characteristics, notably those with clinical vignettes [odds ratio 2.19, 95 % confidence interval 1.24-3.87, P = 0.007] and complex multiple-choice questions [odds ratio 2.37, 95 % confidence interval 1.00-5.60, P = 0.049]. Furthermore, 14.25 % of ChatGPT-generated answers were inconsistent with their explanations, leading to a reduction in the overall accuracy to 74 %. CONCLUSIONS: This study reveals the ChatGPT's capabilities and limitations in nursing exam preparation, underscoring its potential as an auxiliary educational tool. It highlights the model's varied performance across different question types and notable inconsistencies between its answers and explanations. The study contributes significantly to the understanding of artificial intelligence in learning environments, guiding the future development of more effective and reliable artificial intelligence-based educational technologies. TWEETABLE ABSTRACT: New study reveals ChatGPT's potential and challenges in nursing education: Achieves 80.75 % accuracy in exam prep but faces hurdles with complex questions and logical consistency. #AIinNursing #AIinEducation #NursingExams #ChatGPT.

Incidence and Nature of Short-Term Adverse Events following COVID-19 Second Boosters: Insights from Taiwan's Universal Vaccination Strategy.

This study evaluates the incidence and characteristics of adverse events (AEs) following the second COVID-19 booster dose, leveraging Taiwan's distinctive approach of extending booster vaccinations to all citizens, unlike the targeted high-risk group strategies in other countries. Utilizing data from Taipei Veterans General Hospital's Vaccine Adverse Event Reporting System (VAERS) from 27 October 2022 to 19 January 2023, this research examines AEs in 441 out of 1711 booster recipients, considering factors like age, vaccine brands, and booster combinations. The findings revealed incidence rates (IRs) of 25.6% (95% CI: 21.1-30.8) after the first booster and 24.9% (95% CI: 20.5-30.0) after the second, mostly non-serious, with those having AEs post-first booster being five times more likely to report them again (incidence rate ratio, 5.02, p < 0.001). Significantly, switching from the mRNA1273 vaccine to another brand reduced AE risk by 18%. This study underscores that AEs are more repetitive than cumulative with additional booster doses, advocating for personalized vaccination strategies based on individual medical histories and previous vaccine reactions. These insights are valuable for healthcare providers in discussing potential AEs with patients, thereby improving vaccine compliance and public trust, and for policymakers in planning future booster vaccination strategies.

Caffeine supplementation improves the cognitive abilities and shooting performance of elite e-sports players: a crossover trial.

We explored the effect of 3 mg/kg of caffeine supplementation on the cognitive ability and shooting performance of elite e-sports players. Nine e-sports players who had received professional training in e-sports and had won at least eighth place in national-level e-sports shooting competitions. After performing three to five familiarization tests, we employed a single blind, randomized crossover design to divide participants into caffeine trial (CAF) and placebo trial (PL). The CAF trial took capsules with 3 mg/kg of caffeine, whereas the PL trial took a placebo capsule. After a one-hour rest, the Stroop task, the visual search ability test, and the shooting ability test were conducted. The CAF trial's performance in the Stroop task in terms of congruent condition (P = 0.023) and visual search reaction time with 20 items (P = 0.004) was significantly superior to those of the PL trial. In the shooting test, the CAF trial's kill ratio (P = 0.020) and hit accuracy (P = 0.008) were significantly higher, and the average time to target (P = 0.001) was significantly shorter than those of the PL trial. Caffeine supplementation significantly improves e-sports players' reaction times and shooting performance.

Negative emotionality downregulation affects moral choice but not moral judgement of harm: a pharmacological study.

Previous neuroscientific research has expounded on the fundamental role played by emotion during moral decision-making. Negative emotionality has been observed to exert a general inhibitory effect towards harmful behaviors against others. Nevertheless, the downregulation of negative affects at different levels of moral processing (e.g. impersonal versus personal moral dilemmas) alongside its possible interactions with other factors (e.g. perspective taking) hasn't been directly assessed; both of which can assist in predicting future moral decision-making. In the present research, we empirically test (Study 1, N = 41) whether downregulating negative emotionality through pharmacological interventions using lorazepam (a GABA receptor agonist), modulate the permissibility of harm to others -i.e. if participants find it more morally permissible to harm others when harm is unavoidable (inevitable harm moral dilemmas), than when it may be avoided (evitable harm moral dilemmas). Furthermore, using another sample (Study 2, N = 31), we assess whether lorazepam's effect is modulated by different perspective-taking conditions during a moral dilemma task -e.g. "is it morally permissible for you to […]?" (1st person perspective), relative to "is it morally permissible for [x individual] to […]?" (3rd person perspective)-, where the outcome of the different scenarios is controlled. The results of both studies converge, revealing an emotion-dependent, rather than an outcome-dependent, pharmacological modulation. Lorazepam only influenced interpersonal moral judgments when not modulated by the evitable/inevitable condition. Furthermore, there was a significant interaction between perspective-taking and drug administration, as lorazepam exerted a larger effect in modulating moral choices rather than moral judgements.

Metal-enhanced fluorescence through conventional Ag-polyethylene glycol nanoparticles for cellular imaging.

A novel application of conventional Ag nanoparticles (NPs) for metal-enhanced fluorescence (MEF) in cellular imaging is proposed. Different molecular weights of polyethylene glycol (PEG) were tested to determine a suitable spacer on Ag NPs for MEF, and NPs comprising Ag with PEG with a molecular weight of 6000 g (Ag-PEG6k), when present in fluorescein solution, were discovered to cause a 2-fold quantum yield enhancement. For fluorescence imaging of mesenchymal stem cells stained by Alexa Fluor 488, the enhancement factor increased with the Ag-PEG6k NP concentration but decreased with the Alexa Fluor 488 concentration. At 243 parts per billion Ag-PEG6k NPs and 625 parts per million Alexa Fluor 488, the enhancement factor reached its greatest value of over 4.

The association of bisphenol A and paraben exposure with sensorineural hearing loss in children.

Bisphenol A (BPA) and parabens (PBs) are chemicals that are extensively used in personal care products (PCPs). In early childhood development, hearing is critical to speech and language development, communication, and learning. In vitro and in vivo, BPA/PBs exhibited neurotoxicity through elevated levels of oxidative stress. BPA also has the potential to be an ototoxicant. Therefore, this study aimed to determine the association of exposure to BPA/PBs with sensorineural hearing loss in children. A cross-sectional study based on hearing tests was conducted. This study enrolled 320 children aged 6-12 years from elementary school. Urinary BPA and PB concentrations were analyzed by using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Logistic regression models were employed to determine the association of BPA/PB exposure with sensorineural hearing loss. Children with sensorineural hearing loss had higher BPA concentrations than normal-hearing children (0.22 ng/ml vs. 0.10 ng/ml, p = 0.05). After adjustment for covariates, the risk of hearing loss at middle frequencies reached 1.83-fold (95% CI: 1.12-2.99) when BPA concentrations increased by 1 log10. The risk of slight hearing loss reached 2.24-fold (95% CI: 1.05-4.78) when children had a tenfold increase in ethyl paraben (EP) concentration. This study clarifies the role of exposure to BPA/PBs in hearing loss in children. Future research needs to be expanded to include cohort designs and nationwide studies to identify causality.

Factors influencing the effects of the mindfulness-based interventions of patients with substance abuse: A qualitative systematic review and meta-synthesis.

Objective: This article aims to provide the experiences of mindfulness treatments from the perspectives of patients with a history of substance abuse. Data source: Peer-reviewed articles on 5 databases, namely, PubMed, PsychINFO, Medline, CINAHL and the Cochrane Library, between the year of 2000 and 2023. Study Inclusion and Exclusion Criteria: Studies were included if they were published in the English language and reported on qualitative studies that directly engaged patients with experiences of substance abuse and mindfulness treatments. Data extraction: After our initial search, 5355 studies were reviewed by title and abstract, consequently, 10 studies were included. Data synthesis: Meta-ethnography were used in this study. Data were obtained from the quotations from participants and text under the heading "results" or "findings" from the included 10 studies. Results: Effective mindfulness-based interventions (MBI) influence recovery from substance abuse. Four themes were identified as factors influencing the MBI treatment effect. They were (1) engaging in mindfulness: entry and retention, (2) perceived benefits of MBIs, (3) implementation of treatment group and (4) maintenance of treatment effect. Conclusion: This article examines the scientific literature to date and presents the evidence on the factors that influentially impact the effect of MBIs in patients with substance abuse. The findings of this study should be helpful in guiding clinical practice, policy, and future research focused on the treatment effect of MBIs for person with substance use.

Comparative prevalence of oral bacteria and protozoa in patients with periodontitis in Taiwan.

OBJECTIVES: Periodontitis is an inflammatory disease caused by bacteria present in the dental biofilm. However, the presence of two oral protozoans, Entamoeba gingivalis and Trichomonas tenax, in patients with the periodontal disease remains largely unknown in Taiwan. Therefore, we investigated the prevalence of oral microbial infections between the sites with mild gingivitis and chronic periodontitis in patients. MATERIALS AND METHODS: We collected 60 dental biofilm samples from sites with mild gingivitis (probing depth <5 mm) and chronic periodontitis (probing depth ≥5 mm) from 30 patients at the National Cheng Kung University Hospital. The samples were analyzed via polymerase chain reaction and gel electrophoresis. RESULTS: Among oral protozoans, E. gingivalis and T. tenax were detected in 44 (74.07%) and 14 (23.33%) of all samples, respectively. Among oral bacteria, Porphyromonas gingivalis, Treponema denticola, and Tannerella forsythia were detected in 50 (83.33%), 47 (78.33%), and 48 (80.0%) samples, respectively. CONCLUSIONS: This study, which is the first to analyze E. gingivalis and T. tenax presence among patients with periodontitis in Taiwan, revealed an association between periodontitis and oral microbes.

Tislelizumab for squamous lung cancer combined with basal cell carcinoma of the skin: A case report.

INTRODUCTION: Surgery is the preferred treatment for basal cell carcinoma (BCC), locally advanced or metastatic BCC, radiation therapy or systemic therapy can be considered. Programmed death receptor 1 (PD-1) inhibitors are rarely used to treat cutaneous BCC. In the present case, we found that tislelizumab, a PD-1 immunosuppressant, had a positive effect on BCC. PATIENT CONCERNS: A 74-year-old male patient presented with a mass in the left back in October 2021, which was surgically removed and diagnosed as BCC. The patient was diagnosed with squamous lung cancer after presenting with a cough and coughing up a small amount of white, sticky sputum in December 2021. DIAGNOSIS: BCC and squamous lung cancer. INTERVENTIONS: Docetaxel + nedaplatin systemic chemotherapy combined with tislelizumab immunotherapy. OUTCOMES: Both BCC and squamous lung cancer were significantly reduced in size. CONCLUSION: After 2 cycles of immunotherapy with tislelizumab, the lung tumor shrank, the back mass disappeared, and the wound healed.

A Flexible Six-in-One Microsensor Embedded in a Vanadium Redox Flow Battery for Long-Term Monitoring.

The vanadium redox flow battery (VRFB) can be used as a supporting technology for energy storage corresponding to wind and solar power generation. An aqueous vanadium compound solution can be used repeatedly. As the monomer is large, the flow uniformity of electrolytes in the battery is better, the service life is long, and the safety is better. Hence, large-scale electrical energy storage can be achieved. The instability and discontinuity of renewable energy can then be solved. If the VRFB precipitates in the channel, there will be a strong impact on the flow of vanadium electrolyte, and the channel could even be blocked as a result. The factors which influence its performance and life include electrical conductivity, voltage, current, temperature, electrolyte flow, and channel pressure. This study used micro-electro-mechanical systems (MEMS) technology to develop a flexible six-in-one microsensor which can be embedded in the VRFB for microscopic monitoring. The microsensor can perform real-time and simultaneous long-term monitoring of the physical parameters of VRFB, such as electrical conductivity, temperature, voltage, current, flow, and pressure to keep the VRFB system in the best operating condition.

Meta-Analysis of Electroencephalographic Correlates and Cognitive Performance for Acute Exercise-Induced Modulation.

INTRODUCTION: Although abundant research delving into the acute exercise-induced modulation of cognitive performance and the P300-ERP component has been conducted, there is a lack of consensus regarding whether or not this type of intervention has a beneficial effect on cognition and how it relates to the P300-ERP. METHODS: To examine the possible sources of this discrepancy, we conducted a meta-analysis of ERP results together with cognitive performance that were systemically stratified by relevant demographic and methodological moderators. RESULTS: Our results indicate that while acute exercise exerted an overall stable effect on cognitive improvement, associated with enlarged P300 amplitudes, the effect size varied across factors of age, biological sex, exercise intensity, exercise type, control type, and experimental design. Future research taking into consideration modulating factors as to avoid misestimating the beneficial effects of acute exercise are encouraged. CONCLUSION: All in all, and to our knowledge, this is the first meta-analysis quantitatively summarizing the relevant literature on the associations between P300-ERP correlates, acute exercise, and its positive influence on attention and cognitive performance in healthy individuals.

Renoprotective Impacts of Inonotus obliquus Ethanol-Ethyl Acetate Extract on Combined Streptozotocin and Unilateral Nephrectomy-Induced Diabetic Nephropathy in Mice.

Diabetes nephropathy (DN) is one of the most common causes of end stage renal disease (ESRD) globally. Medication options to stop or slow the progression of chronic renal disease (CKD) are limited, and patients with DN remain at a high risk of developing renal failure. Inonotus obliquus extracts (IOEs) of Chaga mushroom have been shown to have anti-glycemic, anti-hyperlipidemia, antioxidant, and anti-inflammatory effects against diabetes. In this study, we examined the potential renal protective role of an ethyl acetate layer after water-ethyl acetate separation from Inonotus obliquus ethanol crude extract (EtCE-EA) from Chaga mushrooms in diabetic nephropathy mice after preparation with 1/3 NT + STZ. Our data showed that treatment with EtCE-EA can effectively regulate blood glucose, albumin-creatinine ratio, serum creatinine, and blood urea nitrogen (BUN) levels, and it can improve the renal damage in 1/3 NT + STZ-induced CRF mice with an increase in concentration (100, 300, and 500 mg/kg). In the immunohistochemical staining test, EtCE-EA can effectively reduce the expression of TGF-ß and α-SMA after induction according to the increase in the concentration (100 mg/kg, 300 mg/kg), thereby slowing down the degree of kidney damage. Our findings demonstrate that EtCE-EA could provide renal protection in diabetes nephropathy, possibly due to the decreased expression of transforming growth factor-ß1 and α-smooth muscle actin.