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Behavioral and psychological symptoms of dementia (BPSD) affect 90% of persons with dementia (PwD), resulting in various adverse outcomes and aggravating care burdens among their caretakers. This study aimed to explore the potential of artificial intelligence-based facial expression recognition systems (FERS) in predicting BPSDs among PwD.A hybrid of human labeling and a preconstructed deep learning model was used to differentiate basic facial expressions of individuals to predict the results of Neuropsychiatric Inventory (NPI) assessments by stepwise linear regression (LR), random forest (RF) with importance ranking, and ensemble method (EM) of equal importance, while the accuracy was determined by mean absolute error (MAE) and root-mean-square error (RMSE) methods.Twenty-three PwD from an adult day care center were enrolled with ≥ 11,500 FERS data series and 38 comparative NPI scores. The overall accuracy was 86% on facial expression recognition. Negative facial expressions and variance in emotional switches were important features of BPSDs. A strong positive correlation was identified in each model (EM:FERS successfully predicted the BPSD of PwD by negative emotions and the variance in emotional switches. This finding enables early detection and management of BPSDs, thus improving the quality of dementia care.

Introduction: Cognitive impairment (COIM) is a major challenge for healthcare systems and is associated with an increased risk of adverse outcomes in older people visiting emergency departments (EDs). Owing to global aging, both cognitive screening and comprehensive geriatric assessment (CGA) application in ED settings are developing areas of geriatric emergency medicine. Meanwhile, the association between clinical outcomes of COIM; cognitive impairment, no dementia (CIND); and dementia in the ED could be better investigated. Our study aims to identify individuals with COIM from older patients in the ED via CGA and to describe the association of CIND and dementia with prognosis in ED visits. Methods: A prospective cross-sectional study was conducted in the ED of the Taipei Veterans General Hospital, a medical center located in Taipei, Taiwan, from August 2018 to November 2020. Patients aged ≥75 years with and without COIM were compared using data obtained from the CGAs conducted by trained nurses. Results: A total of 823 older patients were enrolled in the study and underwent CGA. Of these, 463 (56.3%) were diagnosed with COIM, of which 292 (35.5%) were diagnosed with dementia; and 171 (20.8%), CIND. Between the no-COIM and COIM groups, the COIM group had a higher rate of hospital admission (p = 0.002) and mortality at 3 months (p < 0.05). Among the no-COIM, CIND, and dementia groups, ED disposition (p = 0.001) and the rate of revisit/readmission (p < 0.05) showed significant differences. In particular, the dementia group had a significantly higher rate of revisit/readmission as compared to the CIND group among the three groups. Discussion/Conclusion: Older patients with COIM had a higher rate of hospital admission and mortality at the 3-month follow-up than older patients without COIM. Among the no-COIM, CIND, and dementia groups, patients with dementia had significantly increased risks of hospital admission and revisit/readmission. The early detection of COIM, and even dementia, could help ED physicians formulate strategies with geriatric specialists to improve mortality outcomes and revisit/readmission.

Background Sarcopenic obesity aims to capture the risk of functional decline and cardiometabolic diseases, but its operational definition and associated clinical outcomes remain unclear. Using data from the Longitudinal Aging Study of Taipei, this study explored the roles of the muscle‐to‐fat ratio (MFR) with different definitions and its associations with clinical characteristics, functional performance, cardiometabolic risk and outcomes. Methods (1) Appendicular muscle mass divided by total body fat mass (aMFR), (2) total body muscle mass divided by total body fat mass (tMFR) and (3) relative appendicular skeletal muscle mass (RASM) were measured. Each measurement was categorized by the sex‐specific lowest quintiles for all study participants. Clinical outcomes included all‐cause mortality and fracture. Results Data from 1060 community‐dwelling older adults (mean age: 71.0 ± 4.8 years) were retrieved for the study. Overall, 196 (34.2% male participants) participants had low RASM, but none was sarcopenic. Compared with those with high aMFR, participants with low aMFR were older (72 ± 5.6 vs. 70.7 ± 4.6 years, P = 0.005); used more medications (2.9 ± 3.3 vs. 2.1 ± 2.5, P = 0.002); had a higher body fat percentage (38 ± 4.8% vs. 28 ± 6.4%, P

Sulfonamide residues in foods of animal origin are potential risks to consumer health, so it is very important to inspect them. Among the previously reported instrumental methods, the best method can only be used to determine at most 22 sulfonamides. Thus, an instrumental method capable of determining more sulfonamide species is desirable.In this study, sulfadoxine was used as a template to synthesize a type of magnetic molecularly imprinted polymer that could recognize 35 sulfonamides. After characterization, this composite was used to develop a dispersive solid-phase extraction method for extraction and purification of the 35 sulfonamides in pork, followed by determination using an ultra-performance liquid chromatography photodiode array method. This composite exhibited high adsorption capacity (11.01-19.21 μg mgThe method developed in the present study could be used as a practical tool for routine detection of sulfonamide residues in pork samples. © 2022 Society of Chemical Industry.

This paper successfully establishes an optical model with dual green/red phosphor layers based on the original single-phosphor model. Since the re-absorption effect of double-layer phosphors causes spectral distortion, the model must introduce a correction mechanism for spectral re-absorption. Through the LED packaging experiment, simulation, and verification of the double-layer phosphors, we can effectively predict the ratios required for the two phosphors under different color temperatures and confirm this model's high precision and accuracy. In the future, this model can be used to analyze further the optical performance of white LEDs with different dual-layer phosphor packaging types.

Osteoarthritis causes joint pain and functional disorder, of which knee osteoarthritis is the most common. Nowadays, clinically effective treatments mainly include conservative treatment, arthroplasty, and osteotomy. However, conservative treatment only offers symptomatic relief and arthroplasty is limited to the patients with a moderate to severe degree of osteoarthritis. For relatively young patients who require greater knee preservation, a surgical treatment with low operation trauma and revision rate is needed. Osteotomy around the knee, based on the notion of “knee preservation,” has been chosen as an alternative surgical treatment. Cutting and realigning the bones corrects the mechanical line of lower limb force bearing. As such, osteotomy around the knee retains normal anatomical structure and obtains good functional recovery of the knee joint. The techniques of osteotomy around the knee includes anti‐varus deformity and anti‐valgus deformity osteotomy, aiming to reallocate the force bearing in the compartment of the knee joint. By choosing the surgical section of the lower limbs, the osteotomy around the knee can achieve the correction of mechanical axis, such as the high tibial osteotomy (HTO), proximal fibular osteotomy (PFO), and distal femur osteotomy (DFO). Numerous modified techniques have been developed to meet the demands of patients based on traditional methods. These modified osteotomy have their own advantages and indications. This paper aims to guide clinical treatment by reviewing different types of osteotomies, and their effects, that have been studied and applied widely in clinical practices., Osteotomy around the knee (OAK), one of the clinical treatments for knee osteoarthritis (OA), is based on the notion of “knee preservation” and primarily applies to relatively young and high‐demand patients. The principle of OAK is to correct the mechanical axis in the lower limbs. According to the types of deformity, the techniques can be divided into anti‐varus deformity and anti‐valgus deformity osteotomy. By choosing the surgical section of the lower limbs, anti‐varus deformity and anti‐valgus deformity osteotomy can be further divided into high tibial osteotomy (HTO), proximal fibular osteotomy (PFO), and distal femur osteotomy (DFO). Osteotomy is easy to conduct, low‐risk, almost all cases have rapid recovery after surgery, and it has been chosen as an alternative surgical treatment.

Premature termination codons (PTCs) prevent translation of a full-length protein and trigger nonsense-mediated mRNA decay (NMD). Nonsense suppression (also termed readthrough) therapy restores protein function by selectively suppressing translation termination at PTCs. Poor efficacy of current readthrough agents prompted us to search for better compounds. An NMD-sensitive NanoLuc readthrough reporter was used to screen 771,345 compounds. Among the 180 compounds identified with readthrough activity, SRI-37240 and its more potent derivative SRI-41315, induce a prolonged pause at stop codons and suppress PTCs associated with cystic fibrosis in immortalized and primary human bronchial epithelial cells, restoring CFTR expression and function. SRI-41315 suppresses PTCs by reducing the abundance of the termination factor eRF1. SRI-41315 also potentiates aminoglycoside-mediated readthrough, leading to synergistic increases in CFTR activity. Combining readthrough agents that target distinct components of the translation machinery is a promising treatment strategy for diseases caused by PTCs., Premature termination codons can cause early translation termination and lead to disease. Here the authors perform a screen to identify compounds with readthrough activity and show that these reduce eRF1 levels to suppress premature termination associated with cystic fibrosis.

Rui-Fei Zhou1,2 &ast;, Ning-Peng Liang1 &ast;, Shuo Chen,1 Wen-Chao Zhang,1 Yi-Xi Wang,1 Yu Wang,1 Hui-Fang Ji,1 Yi-Fei Dong1,3 1Department of Cardiovascular Medicine, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 2Department of Cardiovascular Medicine, Yichun People’s Hospital, Yichun, Jiangxi, People’s Republic of China; 3Key Laboratory of Molecular Biology in Jiangxi Province, Nanchang, Jiangxi, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yi-Fei Dong, Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, No. 1 Minde Road, Nanchang, Jiangxi, 330006, People’s Republic of China, Email yf_dong66@126.comPurpose: Obstructive sleep apnea (OSA) is common in hypertrophic cardiomyopathy (HCM) patients and is related to worse adverse prognosis in HCM patients. However, there are no acknowledged warning characteristics to help to identify OSA in HCM patients.Methods: Seventy-one HCM patients and forty-nine hypertensive (HTN) patients as control group underwent polysomnography (PSG) examination at the Second Affiliated Hospital of Nanchang University from January 2015 to December 2019 patients were consecutively enrolled. The characteristics were analyzed and compared between HCM patients with OSA and without OSA.Results: A total of 37 (52%) HCM patients and 25 (51%) HTN patients were diagnosed with OSA. High body mass index (BMI) (OR = 1.228, 95% CI: 1.032,1.461, P = 0.020) and low estimated glomerular filtration rate (eGFR) (OR = 0.959, 95% CI: 0.931,0.989, P = 0.007) independently correlated with the occurrence of OSA in HCM patients, respectively. Multiplicative interaction was shown between high BMI and low eGFR on the risk of OSA in HCM patients (OR: 6.050, 95% CI: 1.598, 22.905, P = 0.008). The additive interaction analysis further suggested that 70.1% of HCM patients developed OSA due to the additive interaction between BMI and eGFR. The identification ability of OSA in HCM patients was significantly enhanced by using both BMI and eGFR (area under receiver-operating characteristic analysis curve 0.785; P = 0.000038) as compared with BMI (area under curve 0.683, P = 0.008) or eGFR (area under curve 0.700, P = 0.004), respectively.Conclusion: High BMI or low eGFR independently related to the occurrence of OSA in HCM patients, and the multiplicative and additive interactions between BMI and eGFR increased the identification ability of OSA in HCM patients.Keywords: hypertrophic cardiomyopathy, obstructive sleep apnea, body mass index, estimation of glomerular filtration rate, biological interaction

To investigate sex-specific associations between social isolation and psychological outcomes and biomarkers among community-dwelling middle-aged and older adults using a nationally representative population-based cohort study.Data from 757 participants from the Social Environment and Biomarkers of Aging Study (SEBAS) were retrieved for analysis, and all participants were stratified by sex. The associations between social isolation and psychological outcomes (loneliness, depressive symptoms, and cognitive impairment) at the 4-year follow-up were examined by multivariate logistic regression models, and associations between social isolation and biomarkers at the 4-year follow-up were examined by multivariate generalized linear models (GLMs).For men, social isolation was not associated with the development of loneliness. However, being married (adjusted odds ratio (aOR) 0.32 [95% confidence interval (CI) 0.13-0.74], p0.001) was associated with a lower risk of loneliness, indicating potential protective effects of marriage for men. On the other hand, social isolation was associated with a 2-fold higher risk of loneliness in women (aOR 2.26 [1.01-5.09], p0.001). Social isolation was not associated with depressive symptoms after adjusting for other demographics. For men, being married (aOR 0.51 [0.26-0.99], p0.05) or having good self-reported health (aOR 0.44 [0.21-0.92], p0.05) was protective against depressive symptoms. For women, only good self-reported health (aOR 0.30 [0.13-0.70], p0.01) provided protective effects against depressive symptoms. Similarly, other demographic factors (being married and having a higher educational level) but not social isolation were associated with lower risks of cognitive impairment. No significant associations were noted between social isolation and selected biomarkers.Sex-different associations between social isolation and loneliness were noted; the effects of demographic factors, such as being married, self-reported health status, and high education levels, on subsequent loneliness, depression, and cognitive function were also sex-different. Further intervention studies are needed to explore sex-specific approaches to deal with the interplay of social isolation, loneliness, psychological outcomes and other demographic factors.

BACKGROUND Dementia development is a complex process in which the occurrence and sequential relationships of different diseases or conditions may construct specific patterns leading to incident dementia. OBJECTIVE This study aimed to identify patterns of disease or symptom clusters and their sequences prior to incident dementia using a novel approach incorporating machine learning methods to identify at-risk patterns of disease or symptom clusters and their sequences for preventive intervention activities. METHODS Using Taiwan’s National Health Insurance Research Database (NHIRD), data from 15,700 older people with dementia and 15,700 nondementia controls matched on age, sex, and index year (training dataset [67%] and the testing dataset [33%]) were retrieved for analysis. Using machine learning methods to capture specific hierarchical disease triplet clusters prior to dementia, we designed a study algorithm with four steps: (1) data preprocessing, (2) disease pathway selection, (3) model construction and optimization, and (4) data visualization. RESULTS Among 15,700 identified older people with dementia, 10,466 and 5,234 subjects were randomly assigned to the training and testing datasets, and 6,215 hierarchical disease triplet clusters with positive correlations with dementia onset were identified. We subsequently generated 19,438 features to construct prediction models, and the model with the best performance was support vector machine (SVM) with the by-group Lasso regression method (total corresponding features=2,513; accuracy=0.615; sensitivity=0.607; specificity=0.622; positive prediction value [PPV]=0.612; negative prediction value [NPV]=0.619; area under the curve [AUC]=0.639). In total, the current study captured 49 hierarchical disease triplet clusters related to dementia development, and the most characteristic patterns leading to incident dementia started with cardiovascular conditions (mainly hypertension), cerebrovascular disease, mobility disorders, or infections, followed by neuropsychiatric conditions. CONCLUSIONS Dementia development in the real world is an intricate process involving various diseases or conditions, their co-occurrence, and sequential relationships. Using a machine learning approach, we identified 49 hierarchical disease triplet clusters with leading roles (cardio- or cerebrovascular disease) and supporting roles (mental conditions, locomotion difficulties, infections, and nonspecific neurological conditions) in dementia development. Further studies using data from other countries are needed to validate the prediction algorithms for dementia development, allowing the development of comprehensive strategies to prevent or care for dementia in the real world.

Purpose The purpose was to explore the effect of drug-eluting beads transarterial chemoembolization (DEB-TACE) on down-staging in unresectable liver cancer patients. Methods A total of 180 patients with PHC treated by TACE were retrospectively analyzed. These included 80 cases in the DEB-TACE group and 100 cases in the cTACE group. Of these, 56 had complete clinical data (DEB-TACE: 24, cTACE: 32), and 23 patients received hepatectomy after TACE as a down-staging therapy (DEB-TACE: 15, cTACE: 8). Data (including clinical characteristics, clinical efficacy, tumor response, tumor diameters, residual liver volume, and liver function indexes before and after TACE, RFS, OS, and complications were collected and compared. Treatment response was evaluated at 1 month after TACE. Tumor diameter was evaluated by abdominal computed tomography scan. The residual liver volume was evaluated by IQQA liver system, and relapse-free survival (RFS) and overall survival (OS) were calculated by Kaplan–Meier curves. Results The conversion rate in DEB-TACE group was higher than cTACE group (18.8% vs 8%, p = 0.032). In DEB-TACE group, 17 patients achieved objective response rate (ORR) which was higher than cTACE group (70.8% vs 34.4%, p = 0.007). The tumor necrosis rate was higher in DEB-TACE group, but there was no significant difference between the two groups (p = 0.053). Tumor diameter was decreased after TACE compared to before TACE (DEB-TACE: 9.4 ± 3.3 vs. 5.4 ± 3.5 cm, p = 0.003; cTACE: 9.7 ± 2.6 vs. 6.9 ± 2.2, p = 0.036). As to residual liver volume, it was increased after TACE compared to before TACE (1066.2 cm3 vs. 1180.3 cm3, p = 0.007) in DEB-TACE group, while there was no significant difference in cTACE group (1046.4 cm3 vs. 1170 cm3, p = 0.339) compared by paired-sample t-test, but there was no significant difference before and after TACE when compared by unpaired-sample t-test (p > 0.05). After TACE at 1 month, the AFP level in the DEB-TACE group was significantly lower than that in the cTACE group (p = 0.003). For survival, the median RFS was 26.0 months in DEB-TACE group and 15 months in cTACE group; there was significant difference between the two groups (p = 0.0465). As to OS, the median OS in DEB-TACE group was higher than that in cTACE group, but there was no significant difference between the two groups (p = 0.165). For safety profiles, in terms of liver function and adverse events, there was no significant difference between the two groups. Conclusion Compared with cTACE, DEB-TACE might be a more efficient and safety down-staging treatment in unresectable liver cancer patients.

Carotid-femoral pulse wave velocity (cf-PWV), an index of mainly distal aortic stiffness, has been inconsistently associated with cognitive function. Excess pressure, derived from the arterial reservoir-excess pressure analysis, may integrate the pulsatile load of the proximal aorta. The present study examined whether increased excess pressure is associated with cognitive function impairment in community adults.A total of 992 community participants (69.5% females; mean age: 67.3 years; education 13.6 years) without cerebrovascular disease or dementia received the Montreal Cognitive Assessment (MoCA) to evaluate global cognition. Arterial reservoir and excess pressure, arterial stiffness, and wave reflections were assessed, using carotid tonometry and aortic Doppler flowmetry.Excess pressure integral (XSPI), percentage XSPI, cf-PWV, characteristic impedance (Zc), and forward and backward pressure amplitude (Pf, Pb, respectively) were significantly higher in 197 participants (19.9%) with a low MoCA score (26 or25, depending on level of education). In multivariable analyses, XSPI (standardized odds ratio, 95% confidence interval, 1.30, 1.06-1.59), and percentage XSPI (1.27, 1.06-1.52) but not cf-PWV (1.04, 0.85-1.26) were significantly associated with a low MoCA. Further analysis revealed that Pf and Zc were the major determinants of XSPI (partial R2: Pf = 0.656, Zc = 0.467) and percentage XSPI (Pf = 0.459, Zc = 0.371). In contrast, age, instead of Pf and Zc, was the major determinant of cf-PWV (partial R2: age = 0.187).Excess pressure (XSPI/percentage XSPI), mainly determined by the pulsatile hemodynamics of the proximal aorta, was significantly associated with cognitive function impairment in middle-aged and elderly community adults.

Oligonol® is a low-molecular-weight polyphenol that has biological effects on metabolism in animals. However, little is known about its roles in muscle function and muscle quality in middle-aged and older adults.120 participants were enrolled for study based on 1:1 randomization. Participants in the intervention group were provided 200 mg oligonol® prepared as capsules, and 200 mg placebo (dextrin) was provided in control group.Data from 103 participants (52 in the intervention group and 51 in the control group) were available for analysis. The mean age of all participants was 64.0 ± 8.2 years, and two-thirds of the participants were females. Baseline demographic characteristics, functional assessment, laboratory data and muscle parameters were similar between groups. Hip circumference decreased (p = 0.009) during the study period, and the 6-m walking speed increased (p = 0.001) in women in the intervention group. In contrast, 6-m walking speed, 6-min walking distance and handgrip strength were significantly improved in men in the intervention group, but increased total body fat percentage (p = 0.038) and decreased mid-thigh cross-muscle area (CMA) (p = 0.007) were observed in the control group. Compared to the control group, the 12-week interval change in the percentage of mid-thigh CMA was maintained in men in the intervention group but was significantly decreased in the control group (p = 0.03, 95% CI:0.002-0.05).Oligonol supplementation (200 mg per day) significantly improved physical performance and muscle mass in men. Further studies are needed to confirm the potential favorable effects of oligonol® supplementation.

In the context of information education, English teaching needs to match the development of artificial intelligence to improve the intelligence of English teaching. Based on the artificial intelligence matching model, this paper constructs an English teaching reform model based on artificial intelligence algorithms. Moreover, based on the FISST multi-target tracking method, this paper firstly models the target state and measurement as RFS, and then uses the Bayesian filtering method to recursively calculate the target posterior PDF, which can estimate the number and state of targets in real time and make up for the shortcomings of traditional tracking methods. In addition, the system proposed in this article can be applied to online English teaching. Through this system, teachers can realize one-to-one matching of students, identify the status of students in time, and give corresponding English teaching methods to different students. Finally, this paper designs a controlled experiment to analyze the performance of the algorithm proposed in this paper. The research results show that the model constructed in this paper has certain practical effects.