One and the same or different? An empirical comparison of aged care recipient and non-aged care recipient preferences for quality of aged care amongst older Australians.

The Quality of Care Experience Aged Care Consumers (QCE-ACC) is a new preference-based instrument recently adopted by the Australian government nationally as a new quality indicator for aged care. This study employed a discrete choice experiment (DCE) approach to develop an aged care user-specific value set for the QCE-ACC instrument. This is crucial for establishing the relative importance of key QCE-ACC dimensions for informing quality assessment and economic evaluation in aged care. We further empirically compared the preferences of aged care recipients and non-aged care recipients amongst the older Australian population (65 years and above) for quality of care experience using the QCE-ACC. A total of 201 older people (age 74.2 ± 6.2; 59.7% female) receiving aged care services completed the DCE survey between August and September 2022. The comparison of relative importance indicated some divergence in the preferences between the aged care recipients and non-aged care recipients. Amongst aged care recipients, being treated with "Respect & Dignity" was the most important quality of care experience defining dimension, with "Health & Wellbeing" ranked second and "Skills & Training" (of staff) ranked third. However, within non-aged care recipients, "Skills Training" (of staff) was considered the most important quality of care dimension. Distinction in the QCE-ACC utility weights distributions and mean values were also observed, suggesting that aged care recipients may have different opinions about the quality of aged care compared to those who have not accessed aged care services. The findings shed light on the unique preferences of aged care recipients, indicating that aged care recipients and non-aged care recipients' preferences for quality of aged care are not interchangeable. The value set developed in this study is specifically tailored for assessing the quality of aged care using the QCE-ACC instrument from the perspective of aged care users in Australia.

Assessment of osteopontin as an early nephrotoxicity indicator in human renal proximal tubule cells and its application in evaluating lanthanum-induced nephrotoxicity.

Nephrotoxicity is a common adverse effect induced by various chemicals, necessitating the development of reliable toxicity screening models for nephrotoxicity assessment. In this study, we assessed a group of nephrotoxicity indicators derived from different toxicity pathways, including conventional endpoints and kidney tubular injury biomarkers such as clusterin (CLU), kidney injury molecule-I (KIM-1), osteopontin (OPN), and neutrophil gelatinase-associated lipocalin (NGAL), using HK-2 and induced pluripotent stem cells (iPSCs)-derived renal proximal tubular epithelial-like cells (PTLs). Among the biomarkers tested, OPN emerged as the most discerning and precise marker. The predictive potential of OPN was tested using a panel of 10 nephrotoxic and 5 non-nephrotoxic compounds. The results demonstrated that combining OPN with the half-maximal inhibitory concentration (IC50) enhanced the diagnostic accuracy in both cellular models. Additionally, PTLs cells showed superior predictive efficacy for nephrotoxicity compared to HK-2 cells in this investigation. The two cellular models were utilized to evaluate the nephrotoxicity of lanthanum. The findings indicated that lanthanum possesses nephrotoxic properties; however, the degree of nephrotoxicity was relatively low, consistent with the outcomes of in vivo experiments.

Synthesis of Low-Cost and High-Performance Dual-Atom Doped Carbon-Based Materials with a Simple Green Route as Anodes for Sodium-Ion Batteries.

Sodium-ion batteries (SIBs) are promising alternatives to replace lithium-ion batteries as future energy storage batteries because of their abundant sodium resources, low cost, and high charging efficiency. In order to match the high energy capacity and density, designing an atomically doped carbonous material as the anode is presently one of the important strategies to commercialize SIBs. In this work, we report the preparation of high-performance dual-atom-doped carbon (C) materials using low-cost corn starch and thiourea (CH4N2S) as the precursors. The electronegativity and radii of the doped atoms and C are different, which can vary the embedding properties of sodium ions (Na+) into/on C. As sulfur (S) can effectively expand the layer spacing, it provides more channels for embedding and de-embedding Na+. The synergistic effect of N and S co-doping can remarkably boost the performance of SIBs. The capacity is preserved at 400 mAh g -1 after 200 cycles at 500 mA g-1; more notably, the initial Coulombic efficiency is 81%. Even at a high rate of high current of 10 A g-1, the cell capacity can still reach 170 mAh g-1. More importantly, after 3000 cycles at 1 A g-1, the capacity decay is less than 0.003% per cycle, which demonstrates its excellent electrochemical performance. These results indicate that high-performance carbon materials can be prepared using low-cost corn starch and thiourea.

Digital-scRRBS: A Cost-Effective, Highly Sensitive, and Automated Single-Cell Methylome Analysis Platform via Digital Microfluidics.

Single-cell DNA methylation sequencing is highly effective for identifying cell subpopulations and constructing epigenetic regulatory networks. Existing methylome analyses require extensive starting materials and are costly, complex, and susceptible to contamination, thereby impeding the development of single-cell methylome technology. In this work, we report digital microfluidics-based single-cell reduced representation bisulfite sequencing (digital-scRRBS), the first microfluidics-based single-cell methylome library construction platform, which is an automatic, effective, reproducible, and reagent-efficient technique to dissect the single-cell methylome. Using our digital microfluidic chip, we isolated single cells in 15 s and successfully constructed single-cell methylation sequencing libraries with a unique genome mapping rate of up to 53.6%, covering up to 2.26 million CpG sites. Digital-scRRBS demonstrates a high capacity for distinguishing cell identity and tracking DNA methylation during drug administration. Digital-scRRBS expands the applicability of single-cell methylation methods as a versatile tool for epigenetic analysis of rare cells and populations with high levels of heterogeneity.

Cross-sectional study of factors affecting the receipt of mental health education in older migrants in China.

BACKGROUND: Population migration in China has increasingly included middle-aged and older populations. Relatedly, the lack of mental health education among China's older migrants is still an important but neglected problem. This study aimed to understand the current situation of mental health education received by the older migrant population in China and to explore related influencing factors. METHODS: This cross-sectional study included 5729 older migrants who participated in the 2017 China Migrants Dynamic Survey. The independent variables included four components: demographic and socioeconomic characteristics, migration factors, public health service utilization, and social integration factors. Data were analyzed using the chi-square test for single factors and a binary logistic regression model for multiple factors. RESULTS: A total of 1749 older migrants received mental health education, for a receipt rate of 30.53%. Regression analysis showed that older migrant individuals who had an average monthly household income > 3000 CNY, self-rated their health as healthy, had chronic diseases, had heard of National Basic Public Health Services, had established health records, received ≥2 types of health education were willing to integrate into the local population, and were highly involved in the community were more likely to receive mental health education. Older migrants who were ≥ 70 years old, had an elementary school education or below, had difficulties in the local community, had migrated ≥11 years prior, moved for their offspring, and moved across provinces were less likely to receive mental health education. CONCLUSIONS: The older migrant population does not receive sufficient mental health education. Mental health interventions should be tailored to the characteristics of older migrants to increase their mental health literacy and meet their psychological needs.

Global trend and risk factors of the disease burden for pharynx and larynx cancers between 1990 and 2019: a systematic analysis of the global burden of disease study 2019.

BACKGROUND: Pharynx and larynx cancers (PLCs) are the top killer cancers in head and neck and significantly affect the quality of life of patients. A detailed study examining the disease burden and risk factors of PLCs is lacking. METHODS: Data on mortality and disability-adjusted life-years (DALYs) were extracted from the Global Burden of Disease Study 2019. The estimated annual percentage change (EAPC) of the age-standardized mortality rate was calculated using a generalized linear model with a Gaussian distribution. Mortality and DALYs were stratified according to the sociodemographic index (SDI), age, gender, and risk factors. The association between the SDI and mortality rate was measured using Spearman's correlation. RESULTS: Between 1990 and 2019, the total number of deaths due to PLCs increased by 60.7% (95% confidence intervals: 39.32 to 66.8), from 192.38 thousand in 1990 to 309.16 thousand in 2019, and the total DALYs due to PLCs increased by 49.41% (95% confidence intervals: 30.15 to 53.27), from 5.91 million in 1990 to 8.83 million in 2019. The age-standardized mortality rate declined for larynx cancer (from 2.19 in 1990 to 1.49 in 2019) and nasopharynx cancer (1.26 to 0.86) but increased slightly for other pharynx cancer (1.25 to 1.37). The death number of PLCs was significantly higher in men aged 50 to 70 years, which accounts for 46.05% and 43.83% of the total deaths in 1990 and 2019, respectively. Low and low-middle countries had the greatest age-standardized mortality rate for larynx and other pharynx cancer, while low-middle and middle countries dominated for nasopharynx cancer. The leading risk factors for PLCs were smoking and alcohol use, which account for 37.92% and 58.84% in total DALYs rate of PLCs, and the influence of risk factors was significant in men. CONCLUSION: The total number of deaths and DALYs due to PLCs increased from 1990 to 2019. Countries with relatively low SDI and middle-aged and older men had the greatest burden of PLCs. Building better health care systems in relatively low SDI countries and improving strategies of smoking and alcohol control should be a priority in health policy.

Development and assessment of the efficacy and safety of human lung-targeting liposomal methylprednisolone crosslinked with nanobody.

Glucocorticoid (GC) hormone has been commonly used to treat systemic inflammation and immune disorders. However, the side effects associated with long-term use of high-dose GC hormone limit its clinical application seriously. GC hormone that can specifically target the lung might decrease the effective dosage and thus reduce GC-associated side effects. In this study, we successfully prepared human lung-targeting liposomal methylprednisolone crosslinked with nanobody (MPS-NSSLs-SPANb). Our findings indicate that MPS-NSSLs-SPANb may reduce the effective therapeutic dosage of MPS, achieve better efficacy, and reduce GC-associated side effects. In addition, MPS-NSSLs-SPANb showed higher efficacy and lower toxicity than conventional MPS.

Pollutant source, ecological and human health risks assessment of heavy metals in soils from coal mining areas in Xinjiang, China.

This study aims to analyze the pollution characteristics and sources of heavy metal elements for the first time in the Zhundong mining area in Xinjiang using the linear regression model. Additionaly, the health risks with their probability and infleuencing factors on different groups of people's were also evaluated using Monte Carlo (MC) simulation approach. The results shows that 89.28% of Hg was from coal combustion, 40.28% of Pb was from transportation, and 19.54% of As was from atmospheric dust. The main source of Cu and Cr was coal dust, Hg has the greatest impact on potential ecological risks. which accounted for 60.2% and 81.46% of the Cu and Cr content in soil, respectively. The all samples taken from Pb have been Extremely polluted (100%). 93.3% samples taken from As have been Extremely polluted. The overall potential ecological risk was moderate. Adults experienced higher non-carcinogenic risks of heavy metals from their diets than children. Interestingly, body weight was the main factor affecting the adult's health risks. This research provides more comprehensive information for better soil management, soil remediation, and soil pollution control in the Xinjiang mining areas.

A Data-Driven Approach to Transfer Function Analysis for Superior Discriminative Power: Optimized Assessment of Dynamic Cerebral Autoregulation.

Transfer function analysis (TFA) is extensively used to assess human physiological functions. However, extracting parameters from TFA is not usually optimized for detecting impaired function. In this study, we propose to use data-driven approaches to improve the performance of TFA in assessing blood flow control in the brain (dynamic cerebral autoregulation, dCA). Data were collected from two distinct groups of subjects deemed to have normal and impaired dCA. Continuous arterial blood pressure (ABP) and cerebral blood flow velocity (CBFV) were simultaneously recorded for approximately 10 mins in 82 subjects (including 41 healthy controls) to give 328 labeled samples of the TFA variables. The recordings were further divided into 4,294 short data segments to generate 17,176 unlabeled samples of the TFA variables. We optimized TFA post-processing with a generic semi-supervised learning strategy and a novel semi-supervised stacked ensemble learning (SSEL) strategy for classification into normal and impaired dCA. The generic strategy led to a performance with no significant difference to that of the conventional dCA analysis methods, whereas the proposed new strategy boosted the performance of TFA to an accuracy of 93.3%. To our knowledge, this is the best dCA discrimination performance obtained to date and the first attempt at optimizing TFA through machine learning techniques. Equivalent methods can potentially also be applied to assessing a wide spectrum of other human physiological functions.

A visual model for prognostic estimation in patients with primary diffuse large B-cell lymphoma of small intestine and colon: analysis of 1,613 cases from the SEER database.

BACKGROUND: Treatment modalities for primary diffuse large B-cell lymphoma of Small intestine and colon (PIC-DLBCL) have changed significantly during the past decades. However, limited information on the trends of clinical outcome of PIC-DLBCL patients has been reported, and the influence of marital status and medical insurance on prognosis is ignored. METHODS: This was a retrospective analysis the survival of PIC-DLBCL patients using the Surveillance, Epidemiology, and End Results (SEER) database between 2002 and 2016. The patients were divided into the training and validation cohort. In the training cohort, univariate and multivariable Cox regression analysis, Log-rank test and the Kaplan-Meier method were used to find out the independent prognostic factors, from which the visual prognostic model (nomogram and graphical web page) was established. C-index and calibration plots were used to evaluate the prediction accuracy of the model. In the validation cohort, both Decision curve analysis (DCA) and Receiver operating characteristic (ROC) curve was performed to compare the model with the International Prognostic Index (IPI) scoring model which is universally used to estimate prognosis of PIC-DLBCL. RESULTS: A total of 1,613 patients were collected, and the 5-year overall survival of all cases was 64.5%. Age at diagnosis (HR =2.58, 95% CI: 2.29-2.91), Ann Arbo stage (HR =1.34, 95% CI: 1.24-1.44), Divorced or Separated (HR=1.21, 95% CI: 1.06-1.38), Uninsured (HR =1.32, 95% CI: 1.19-1.45) and Primary colon (HR =1.23, 95% CI: 1.08-1.40) were associated with prognosis and were used to build up the visual model (nomogram and graphical web page). Both DCA and ROC curve showed that the model had better authentication capability than the IPI scoring model (AUC 0.820 vs. 0.714). The calibration plots showed that the model could accurately predict patient prognosis. CONCLUSIONS: The visual model could output individual estimate prognosis simply and correctly, including marital status and medical insurance for the first time. Consideration of both medical and social factors, this study provided a new way to explore the improving prognosis of PIC-DLBCL.

Quantitative assessment of diffusion kurtosis imaging depicting deep myometrial invasion: a comparative analysis with diffusion-weighted imaging.

PURPOSE: We aimed to investigate histogram analysis of diffusion kurtosis imaging (DKI) and conventional diffusion-weighted imaging (DWI) to distinguish between deep myometrial invasion and superficial myometrial invasion in endometrial carcinoma (EC). METHODS: A total of 118 pathologically confirmed EC patients with preoperative DWI were included. The data were postprocessed with a DKI (b value of 0, 700, 1400, and 2000 s/mm2) model for quantitation of apparent diffusion values (D) and apparent kurtosis coefficient values (K) for non-Gaussian distribution. The apparent diffusion coefficient (ADC) was postprocessed with a conventional DWI model (b values of 0 and 800 s/mm2). A whole-tumor analysis approach was used. Comparisons of the histogram parameters of D, K, and ADC were carried out for the deep myometrial invasion and superficial myometrial invasion subgroups. Diagnostic performance of the imaging parameters was assessed. RESULTS: The Dmean, D10th, and D90th in deep myometrial invasion group were significantly lower than those in superficial invasion group (P < 0.001, P < 0.001, and P = 0.023, respectively), as well as the ADCmean, ADC10th, and ADC90th (P = 0.001, P = 0.001, and P = 0.042, respectively). The Kmean and K90th were significantly higher in deep invasion group than those in superficial myometrial invasion group (P = 0.002 and P = 0.026, respectively). The D10th, Kmean, and ADC10th had a relatively higher area under the curve (AUC) (0.72, 0.66, and 0.71, respectively) than other parameters for distinguishing deep myometrial invasion of EC. D10th showed a relatively higher AUC than ADC10th for the differentiation of lesions with deep myometrial invasion from those with superficial myometrial invasion (0.72 vs. 0.71), but the variation was not statistically significant (P = 0.35). CONCLUSION: Distribution of DKI and conventional DWI parameters characterized by histogram analysis may represent an indicator for deep myometrial invasion in EC. Both DKI and DWI models showed relatively equivalent effectiveness.

Efficacy and Safety of Atlantoaxial Fluoroscopy-guided Pedicle Screw Fixation in Patients Younger Than 12 Years: A Radiographic and Clinical Assessment.

STUDY DESIGN: A retrospective clinical study. OBJECTIVE: The aim of this study was to evaluate the efficacy and safety of fluoroscopy-guided atlantoaxial pedicle screw fixation in patients younger than 12 years. SUMMARY OF BACKGROUND DATA: C1-C2 pedicle screw fixation is a widely accepted treatment method for atlantoaxial dislocation (AAD). However, data regarding its use for atlantoaxial fusion (AAF) in children are limited. METHODS: Thirty-six consecutive patients younger than 12 years underwent C1-C2 pedicle screw fixation for AAD between 2007 and 2017. Anatomical parameters of the C1 pedicle were measured on preoperative computed tomography (CT). Accuracy of pedicle screw fixation was assessed on postoperative CT using the following definitions: Type I, screw threads completely within the bone; Type II, less than half the diameter of the screw violating the surrounding cortex; and Type III, clear violation of the transverse foramen or spinal canal. Demographic, surgical, radiation dose, and clinical data were recorded. RESULTS: Patients underwent 144 screw fixations (67 C1 pedicle screws, 68 C2 pedicle screws, 5 C1 lateral mass screws, and 4 C-2 laminar screws) for a variety of pediatric AADs, with 36.5 ±â€Š8.5 months of follow-up. Among the 135 pedicle screws, 96.3% were deemed "safe" (Type I or II) and 80.7% (109/135) of the screws were rated as being ideal (Type I); five screws (3.7%) were identified as unacceptable (Type III). Average estimated blood loss (EBL) was 92 mL, and the average total radiation exposure during the operation was 6.2 mGy (in the final 26 cases). There were no neurovascular injuries. All patients showed radiographic stability and symptom resolution. CONCLUSION: C1-C2 pedicle screw fixation under fluoroscopy is safe and effective for the treatment of AAD in children younger than 12 years. However, it may be technically challenging owing to the special anatomical features of children and should be performed by experienced surgeons. LEVEL OF EVIDENCE: 3.

Population pharmacokinetics of palonosetron and model-based assessment of dosing strategies.

PURPOSE: Palonosetron is the most recent 5-hydroxytryptamine-3 receptor antagonist, and its fixed dose of 0.075 mg is indicated for the prevention of postoperative nausea and vomiting. This study aimed to examine whether fixed dosing is more appropriate than body size-based dosing through the development of a population pharmacokinetic model and model-based simulations. METHODS: Fifty-one adult patients undergoing general anesthesia received single intravenous palonosetron administrations 30 min before the end of surgery. Palonosetron concentrations were measured in blood samples collected at various timepoints within 48 h. A population pharmacokinetic analysis was performed by non-linear mixed-effects modeling, and the area under the curves (AUCs) for fixed dosing and body size-based dosing were simulated. RESULTS: The pharmacokinetics of palonosetron were best described by the three-compartment model, and lean body weight (LBW) was the most significant covariate for all pharmacokinetic parameters. In a patient with LBW of 40 kg, typical clearance and central volume of distribution were 0.102 L/min and 6.98 L, respectively. In simulations, the overall interindividual variability in AUC (0, 48 h) of fixed dosing was not much higher than that of body size-based dosing. In subgroup analysis, the AUCs (0, 48 h) of fixed dosing were considerably lower in the high-weight subgroup and higher in the low-weight subgroup than the median-weight subgroup. In contrast, LBW-based dosing showed similar AUC distributions among the three subgroups. CONCLUSION: LBW-based dosing might be suitable for high-weight patients to avoid possible underdosing. Nevertheless, the current fixed dosing of palonosetron is acceptable for adult patients with normal weight.

Microbiologic assessment of flexible gastrointestinal endoscope reprocessing using a pump-assisted sampling technique: an investigation involving all endoscopy units in Tianjin, China.

BACKGROUND: Microbiologic surveillance of flexible gastrointestinal endoscopes is recommended in several guidelines as the primary means of identifying reprocessing failures. This study aimed to evaluate the contamination level and prevalence of bacteria of post-reprocessing endoscopes and to access whether using a pump-assisted sampling method (PASM) improves the sensitivity of culture. METHODS: All 59 endoscopy units in Tianjin, China, were investigated. The PASM and the conventional flushing sampling method (CFSM) were used to compare the results of the microbial culture. Logistic regression analysis was used to identify the influencing factors. RESULTS: One hundred four (56.52%) flushing channel samples of gastrointestinal endoscopes were positive for culture, and the maximum bacterial concentration was 14,100 colony-forming units (CFU)/channel. One hundred fifty-one (82.07%) flushing samples were qualified according to the national standard of China (≤ 20 CFU/channel). The qualified rate of the samples collected by PASM was significantly lower than the qualified rate by CFSM (65.52% vs 89.68%). Using PASM (odds ratio [OR]: 4.257; 95% confidence interval [CI]: 1.870-9.690) would increase the sensitivity of culture. The use of purified water (OR: 0.288; 95% CI: 0.102-0.814) could reduce the risk of endoscope reprocessing failure. CONCLUSION: Many endoscopes fail to meet the national standard for microbial culture after reprocessing. Our results suggest that using a pump-assisted method could increase the sensitivity of the test.

Loss of Mbd2 Protects Mice Against High-Fat Diet-Induced Obesity and Insulin Resistance by Regulating the Homeostasis of Energy Storage and Expenditure.

Previous studies including ours demonstrated that methyl-CpG-binding domain 2 (MBD2) acts as a reader to decipher DNA methylome-encoded information. We thus in the current study used Mbd2-/- mice as a model to dissect the impact of high-fat diet (HFD) on DNA methylome relevant to the pathoetiology of obesity. It was interestingly noted that mice deficient in Mbd2 were protected from HFD-induced obesity and insulin resistance. Mechanistic study revealed that HFD rendered epididymal adipose tissues to undergo a DNA methylation turnover as evidenced by the changes of methylation levels and patterns. Specifically, HFD was noted with higher potency to induce DNA hypomethylation in genes relevant to energy storage than that in genes associated with energy expenditure. As a result, arrays of genes were subjected to expression changes, which led to an altered homeostasis for energy storage and expenditure in favor of obesity development. Loss of Mbd2 resulted in impaired implementation of above DNA methylation changes associated with altered energy homeostasis, which then protected mice from HFD-induced obesity and insulin resistance. Those data would provide novel insight into the understanding of the pathoetiology underlying obesity with potential for developing effective therapies against obesity in clinical settings.

Assessment of Alveolar Bone Status in Middle Aged Chinese (40-59 Years) with Chronic Periodontitis--Using CBCT.

OBJECTIVE: This study used con-beam computed tomography (CBCT) to investigate the prevalence and severity of alveolar bone loss in middle-aged (40-59 years) Chinese with chronic periodontitis. MATERIALS AND METHODS: The study group comprised 145 dentate individuals aged 40 to 59 years residing in China who suffered from chronic periodontitis. CBCT and the application of NNT software were used to examine the level and location of alveolar bone loss. RESULTS: The study revealed that 40-59 year old patients with chronic periodontitis had severe bone loss. At 5,286 sites (34.7%), alveolar bone loss was mild; severe alveolar bone loss was found at 5,978 sites (39.2%). A comparison of bone loss in different jaws revealed that the area with the highest degree of bone loss was on the lingual side of the maxillary molar (56.3 ± 7.2%), and that the area with the lowest degree was primarily on the lingual side of the mandibular canine (27.5 ± 6.3%). There was a lower degree of alveolar bone loss in males than females. Differences were observed when comparing the incidence of bone loss between males and females (P < 0.05). Menopause in females and smoking in both genders may affect the level of bone loss. Male smokers experienced a greater degree of bone loss (41.67 ± 5.76%) than male non-smokers (32.95 ± 4.31%). A 42.23 ± 6.34% bone loss was found in menopausal females versus 31.35 ± 3.62% in non-menopausal females. CONCLUSIONS: The study revealed that different sites and teeth exhibited a diverse degree of bone loss. In middle-aged patients with chronic periodontitis, the highest degrees of bone loss in the incisors, premolars, and molars were on the lingual side, mesial side and lingual side, respectively. Menopause in females and smoking may affect the level of bone loss.

[Using infrared thermal asymmetry analysis for objective assessment of the lesion of facial nerve function].

The skin temperature distribution of a healthy human body exhibits a contralateral symmetry. Some lesions of facial nerve function are associated with an alteration of the thermal distribution of the human body. Since the dissipation of heat through the skin occurs for the most part in the form of infrared radiation, infrared thermography is the method of choice to capture the alteration of the infrared thermal distribution. This paper presents a new method of analysis of the thermal asymmetry named effective thermal area ratio, which is a product of two variables. The first variable is mean temperature difference between the specific facial region and its contralateral region. The second variable is a ratio, which is equal to the area of the abnormal region divided by the total area. Using this new method, we performed a controlled trial to assess the facial nerve function of the healthy subjects and the patients with Bell's palsy respectively. The results show: that the mean specificity and sensitivity of this method are 0.90 and 0.87 respectively, improved by 7% and 26% compared with conventional methods. Spearman correlation coefficient between effective thermal area ratio and the degree of facial nerve function is an average of 0.664. Hence, concerning the diagnosis and assessment of facial nerve function, infrared thermography is a powerful tool; while the effective ther mal area ratio is an efficient clinical indicator.

A facile and highly atom-economic approach to biaryl-containing medium-ring bislactones.

Starting from readily available phenanthrenequinone and alkenes, biaryl containing medium-ring bislactones could be easily prepared through sequential photocycloaddition-photooxidation reactions with good yields and diastereoselectivity.

Alignment of multiple proteins with an ensemble of hidden Markov models.

In this paper, we developed a new method that progressively constructs and updates a set of alignments by adding sequences in a certain order to each of the existing alignments. Each of the existing alignments is modelled with a profile Hidden Markov Model (HMM) and an added sequence is aligned to each of these profile HMMs. We introduced an integer parameter for the number of profile HMMs. The profile HMMs are then updated based on the alignments with leading scores. Our experiments on BaliBASE showed that our approach could efficiently explore the alignment space and significantly improve the alignment accuracy.