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Circularly polarized luminescence (CPL) materials are promising candidates for future display technology. However, such highly efficient emitters suffer from the issues of difficult chiral separation and low photoluminescence quantum yield (PLQY). In this work, the chiral 4,4'-biphenanthrene-3,3'-diol (BIPOL) unit was introduced into a thermally activated delayed fluorescence (TADF) framework for the first time. We presented two series of enantiomers, R/S-o-DCzBPNCN and R/S-p-DCzBPNCN, and the synthesis of enantiopure BIPOL can be prepared via normal column chromatography. Notably, o-DCzBPNCN showed narrow singlet-triplet gap of 0.05 eV, efficient TADF, and high PLQYs of 82 % in doped films. In addition, R/S-o-DCzBPNCN exhibited high luminescence dissymmetry factor (gPL ) values of -1.94×10-2 /+1.91×10-2 in doped films. The strategy of BIPOL introduction offers a new approach to organic emitters with stereospecific synthesis, TADF, and chiroptical properties.

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Alzheimer's disease (AD) is a progressive neurodegenerative disorder predominantly affecting the elderly. While conventional pharmacological therapies remain the primary treatment for AD, their efficacy is limited effectiveness and often associated with significant side effects. This underscores the urgent need to explore alternative, non-pharmacological interventions. Oxidative stress has been identified as a central player in AD pathology, influencing various aspects including amyloid-beta metabolism, tau phosphorylation, autophagy, neuroinflammation, mitochondrial dysfunction, and synaptic dysfunction. Among the emerging non-drug approaches, hydrogen therapy has garnered attention for its potential in mitigating these pathological conditions. This review provides a comprehensively overview of the therapeutic potential of hydrogen in AD. We delve into its mechanisms of action, administration routes, and discuss the current challenges and future prospects, with the aim of providing valuable insights to facilitate the clinical application of hydrogen-based therapies in AD management.

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Hand hygiene is a crucial measure in the prevention and control of infections, and there is a growing awareness among individuals who are making a conscious effort to maintain hand cleanliness. With the advent of the SARS-CoV-2 outbreak, the demand for hand hygiene products has also gradually shifted towards those with antimicrobial properties. Among these products, hand sanitizer gels (HSGs) have gained considerable popularity as an efficient method of hand cleaning, due to their rapid drying and sustained antimicrobial efficacy. Concurrently, there has been a growing interest in novel HSGs that offer additional functions such as skin whitening, moisturizing, and anti-inflammatory effects. These novel HSGs effectively address concerns associated with the ingestion of antimicrobial ingredients and demonstrate reduced skin irritation, thereby alleviating hand dermatological issues. This review provides an extensive overview of the application scenarios, classification, and challenges associated with HSGs while emphasizing the emergence of novel components with biological functions, aiming to contribute to the advancement of hand hygiene practices and offer novel insights for the development of novel HSGs with outstanding antimicrobial properties with other multiple biological functions and desirable biosafety profiles.

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BACKGROUND Causes of death (CODs) in patients with gastric cancer (GC) need to be studied. We examined the cancer-specific and non-cancer deaths among patients diagnosed with GC from 1975 to 2019. MATERIAL AND METHODS We obtained medical records from the Surveillance, Epidemiology, and End Results (SEER) database. We used SEER*Stat software to calculate standardized mortality ratios (SMRs) for specific CODs and performed a competing risk analysis to evaluate the cumulative mortality of specific CODs. RESULTS The final study cohort included 42 813 patients with GC, with a mean age at diagnosis of 67.7 years. As the end of 2021, a total of 36 924 (86.2%) patients died. Of these deaths, 24 625 (66.7%) were from GC, 6513 (17.6%) were from other types of cancers, and 5786 (15.7%) were from non-cancer causes. The most prevalent non-cancer CODs were heart diseases (2104; 5.7%), cerebrovascular diseases (501; 1.4%), and pneumonia/influenza (335; 0.9%). Among patients who survived over 5 years, non-cancer causes surpassed GC as the main CODs. Patients with GC had a higher risk of dying from many non-cancer causes than expected in the general population, particularly from suicide (SMR, 3.03; 95% CI, 2.35-3.85) and septicemia (SMR, 2.93; 95% CI, 2.51-3.4). The competing risk analysis showed that the cumulative mortality of GC gradually declined with a more recent diagnosis. CONCLUSIONS Although GC was the leading COD among patients with GC, non-cancer CODs accounted for a substantial number of deaths. These findings provide useful guidance on potential death risks among patients with GC.

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For environmental safety, it is important to establish a simple, rapid, and sensitive method for emerging pollutants. Here, a dispersive solid-phase extraction (d-SPE) method based on an iron-based metal-organic framework (Fe-MIL-88-NH2) combined with high-performance liquid chromatography (HPLC) was developed for tetrabromobisphenol A (TBBPA) in water samples. Fe-MIL-88-NH2 was synthesized using a solvothermal method and completely characterized. Fe-MIL-88-NH2 had good water stability and gave a maximum adsorption capacity of 40.97 mg g-1 for TBBPA. The adsorption of TBBPA on Fe-MIL-88-NH2 followed Langmuir adsorption models and a pseudo-second-order kinetic model. The bromine ion and the hydroxyl group of TBBPA could form strong hydrogen bond interactions with the amino protons around the cavity of Fe-MIL-88-NH2, which was in accord with the molecular simulation calculations. Furthermore, several important d-SPE parameters were optimized, such as the amount of materials, extraction time, pH, ionic strength, elution solvent type, and volume. The established method showed good linearity in the concentration range of 0.005-100 µg g-1 (r2 ≥ 0.9996). This method's limits of detection (LOD) and quantification (LOQ) were 0.001 µg g-1 and 0.005 µg g-1, respectively. The recoveries in spiked water samples ranged from 87.5% to 104.9%. The proposed method was applied successfully to detect TBBPA in environmental water samples.

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Purpose: The purpose of this paper is to develop a method to automatic classify capsule gastroscope image into three categories to prevent high-risk factors for carcinogenesis, such as atrophic gastritis (AG). The purpose of this research work is to develop a deep learning framework based on transfer learning to classify capsule gastroscope image into three categories: normal gastroscopic image, chronic erosive gastritis images, and ulcer gastric image. Method: In this research work, we proposed deep learning framework based on transfer learning to classify capsule gastroscope image into three categories: normal gastroscopic image, chronic erosive gastritis images, and ulcer gastric image. We used VGG- 16, ResNet-50, and Inception V3 pre-trained models, fine-tuned them and adjust hyperparameters according to our classification problem. Results: A dataset containing 380 images was collected for each capsule gastroscope image category, and divided into training set and test set in a ratio of 70%, and 30% respectively, and then based on the dataset, three methods, including as VGG- 16, ResNet-50, and Inception v3 are used. We achieved highest accuracy of 94.80% by using VGG- 16 to diagnose and classify capsule gastroscopic images into three categories: normal gastroscopic image, chronic erosive gastritis images, and ulcer gastric image. Our proposed approach classified capsule gastroscope image with respectable specificity and accuracy. Conclusion: The primary technique and industry standard for diagnosing and treating numerous stomach problems is gastroscopy. Capsule gastroscope is a new screening tool for gastric diseases. However, a number of elements, including image quality of capsule endoscopy, the doctors' experience and fatigue, limit its effectiveness. Early identification is necessary for high-risk factors for carcinogenesis, such as atrophic gastritis (AG). Our suggested framework will help prevent incorrect diagnoses brought on by low image quality, individual experience, and inadequate gastroscopy inspection coverage, among other factors. As a result, the suggested approach will raise the standard of gastroscopy. Deep learning has great potential in gastritis image classification for assisting with achieving accurate diagnoses after endoscopic procedures.

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The Beijing-Tianjin-Hebei region is an important economic growth pole in China and achieving carbon emission reduction in the region is of great practical significance. Studying the heterogeneity of the influencing factors of carbon emission in this region contributes to formulating targeted regional carbon emission reduction policies. Therefore, this paper adopted thirteen cities as individuals of cross-section and conducted spatial and temporal heterogeneity analysis of the influencing factors of converted carbon emissions in the region with panel data from 2013 to 2018 based on the PGTWR model. From a space-time perspective, the regression coefficient of each influencing factor in this region has obvious heterogeneity, which is mainly reflected in the time dimension. In the study period, the impact of industrial structure, the level of urbanization, energy intensity, and the level of economic growth on carbon emission showed a decline curve, while the impact of the level of opening up and the size of population was on the rise, indicating that more attention should be paid to the latter two factors for the time to come. In terms of space, the differences in the influence of industrial structure and energy intensity on carbon emission vary significantly.

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Gastric cancer is one of the most common types of malignant tumor of the gastrointestinal tract worldwide. Cisplatin (DDP) is a commonly used chemotherapeutic drug in the clinic; however, the resistance of gastric cancer cells to DDP limits its efficacy. In the present study, drug-resistant gastric cancer cell lines were constructed using the stepwise continuous selection method, and the relative expression levels of long non-coding RNA (lncRNA) CDKN2B antisense RNA 1 (ANRIL) and microRNA (miR)-181a-5p were detected using reverse transcription-quantitative PCR. The knockdown of lncRNA ANRIL and miR-181a-5p expression was performed by transfection with shRNA-ANRIL and an miR-181a-5p inhibitor, respectively. Cellular proliferation and sensitivity to DDP were assessed using Cell Counting Kit-8 analysis. Cell apoptosis and cell cycle distribution were assessed using flow cytometry and western blotting. The binding relationships between ANRIL, miR-181a-5p and cyclin G1 (CCNG1) were verified using a dual luciferase reporter assay. The results revealed that the expression levels of miR-181a-5p were downregulated in all drug-resistant cell lines. ANRIL-knockdown inhibited cellular proliferation, and promoted apoptosis and cell cycle arrest; however, following the knockdown of miR-181a-5p, the inhibition of cell cycle arrest was alleviated. Notably, miR-181a-5p, ANRIL and CCNG1 were found to have targeting relationships. In conclusion, the findings of the present study suggested that knocking down the expression of ANRIL inhibited cellular proliferation, and promoted apoptosis and cell cycle arrest. Furthermore, its downstream target, miR-181a-5p, inhibited the proliferation of drug-resistant cells and enhanced their sensitivity to DDP.

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BACKGROUND: As the birth policy has been adjusted from one-child-one-couple to universal two-child-one-couple in China, there is an increasing number of women undergoing a second pregnancy after a previous cesarean section (CS). Undertaking an elective repeat CS (ERCS) has been taken for granted and has thus become a major contributor to the increasing CS rate in China. Promoting trial of labor after CS (TOLAC) can reduce the CS rate without compromising delivery outcomes. This study aimed to investigate Chinese obstetricians' perspectives regarding TOLAC, and the factors associated with their decision-making regarding recommending TOLAC to pregnant women with a history of CS under the two-child policy. METHODS: A cross-sectional survey was carried out between May and July 2018. Binary logistic regression was used to determine the factors associated with the obstetricians' intention to recommend TOLAC to pregnant women with a history of CS. The independent variables included sociodemographic factors and perceptions regarding TOLAC (selection criteria for TOLAC, basis underlying the selection criteria for TOLAC, and perceived challenges regarding promoting TOLAC). RESULTS: A total of 426 obstetricians were surveyed, with a response rate of ≥83%. The results showed that 31.0% of the obstetricians had no intention to recommend TOLAC to pregnant women with a history of CS. Their decisions were associated with the perceived lack of confidence regarding undergoing TOLAC among pregnant women with a history of CS and their families (odds ratio [OR] = 2.31; 95% CI: 1.38-1.38); obstetricians' uncertainty about the safety of TOLAC for pregnant women with a history of CS (OR = 0.49; 95% CI: 0.27-0.96), and worries about medical lawsuits due to adverse delivery outcomes (OR = 0.14; 95% CI: 0.07-0.31). The main reported challenges regarding performing TOLAC were lack of clear guidelines for predicting or avoiding the risks associated with TOLAC (83.4%), obstetricians' uncertainty about the safety of TOLAC for women with a history of CS (81.2%), pregnant women's unwillingness to accept the risks associated with TOLAC (81.0%) or demand for ERCS (80.7%), and the perceived lack of confidence (77.5%) or understanding (69.7%) regarding undergoing TOLAC among pregnant women and their families. CONCLUSION: A proportion of Chinese obstetricians did not intend to recommend TOLAC to pregnant women with a history of CS. This phenomenon was closely associated with obstetricians' concerns about TOLAC safety and perceived attitudes of the pregnant women and their families regarding TOLAC. Effective measures are needed to help obstetricians predict and reduce the risks associated with TOLAC, clearly specify the indications for TOLAC, improve labor management, and popularize TOLAC in China. Additionally, public health education on TOLAC is necessary to improve the understanding of TOLAC among pregnant women with a history of CS and their families, and to improve their interactions with their obstetricians regarding shared decision making.

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Stress is becoming increasingly prevalent among teacher groups, and this is problematic for education. Mindfulness training (MT) is a well-supported way to help various populations cope with and reduce stress. In this study, a 4-day intensive MT program that aimed to increase teachers' emotional health was developed and implemented into the existing post-service education for teachers in eastern China. A total of 161 teachers voluntarily enrolled in the course and were assigned to either the mindfulness group or the waitlist group. Participants completed measures of mindfulness, positive affect, negative affect, and perceived stress before and after the program. The results showed that MT had statistically significant positive effects on mindfulness, negative affect, and stress. The present findings indicate that a 4-day intensive MT program is a promising way to decrease teachers' stress and improve their emotional health. The practical meaning of the short-term intensive MT program for teachers is discussed. It is easier for teachers to enroll such a short-term training program, as it may have higher acceptance and feasibility than an 8-week training program in some areas. Clinical Trial Registration: www.ClinicalTrials.gov, identifier ChiCTR2000029653.

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Assistance for distressed caregivers can indirectly facilitate recovery of the people being cared for, yet how resilience, hope, and social support mediate between caregiving burden and adjustment outcomes is unclear. A structural equation model was constructed based on data from a cross-sectional survey of 324 caregivers of children and adolescents with schizophrenia using multidimensional caregiver burden inventory, Connor-Davidson resilience scale, Herth hope index, perceived social support scale, distress management screening measure, and positive aspects of caregiving instruments. On distress, caregiving burden had a relatively large direct effect, and an indirect effect, mainly mediated by resilience. Resilience had a greater effect than social support or hope on distress. On positive aspects of caregiving (PAC), caregiving burden had only an indirect effect, primarily via the processes from social support and resilience to hope. Hope had a significant direct effect, while resilience and support had moderate indirect effects on PAC via hope. Resilience is an important mediator between caregiving burden and distress, with a greatest effect. Resilience, hope, and social support all mediated between caregiving burden and PAC, with hope having a greatest effect. Reducing the care burden may greatly help to relieve caregiver distress. Providing needed social support, encouraging caregivers to proactively utilize the support, and enhancing resilient coping skills will be helpful in developing resilience and mitigating distress. Health professionals should assess and ameliorate burden, be particularly aware of caregiver hopes, provide formal support, and encourage informal support to promote PAC.

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Because of its competitive inhibitor activity against aminopeptidase B, bestatin isolated from the broth of Streptomyces olivoreticuli ATCC 31159 is famous and currently used as an approved therapeutic agent for cancer and bacterial infections. It can be used alone or in combination with other antibiotics or anticancer drugs as adjuvant therapy drug for chemotherapy and radiotherapy. Due to the therapeutic importance of bestatin, mining of its biosynthetic mechanism is imperative. Genome mining, one of the bioinformatics-based approaches for the discovery of novel natural product, has been developed and applied widely. Herein, we reported the complete genome of Streptomyces olivoreticuli ATCC 31159 obtained from American Type Culture Collection (ATCC). It consists of 8,809,793 base pairs with a linear chromosome, GC content of 71.1%, 7520 protein-coding genes, 75 tRNA operons, 21 rRNA operons, 63 sRNAs. In addition, predictive analysis showed that at least 37 putative biosynthetic gene clusters (BGCs) of the secondary metabolites were obtained, 18 new BGCs with low similarity (< 25%) were included. The availability of novel and abundant gene clusters not only will provide clues for cracking the biosynthetic mechanism of bestatin, but also will provide valuable insight for mining the diverse bioactive compounds based on rational strategies.

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BACKGROUND: Despite the rapid growth of Chinese nursing PhD programs, little is known about the career intentions of students in this field. OBJECTIVE: To investigate the career intentions of nursing PhD students. DESIGN: Online cross-sectional survey. PARTICIPANTS: Nursing PhD students at Chinese universities. METHODS: An online questionnaire was designed and the data were analyzed using SPSS. RESULTS: The mean age of the participants was 31.53 ±â€¯4.92 years, and most were female (89.9%), married (74.2%), and had been employed previously (69.7%). Most intended to work in the city where their family lived (34.8%) or near their previous workplace (32.6%). Most (60.7%) desired to work in an educational institution (e.g., a university or college). The most common expected salary was 8000-11,999 RMB/month. The work benefits perceived as indispensable were "Five Insurances and One Fund" (77.5%), good educational resources for children (59.6%), financial allowances for PhD graduates (52.8%), staff dormitories/housing subsidies (50.6%), and tenure (50.6%). Nursing education (75.3%) and research (70.8%) were the most favored fields. The key job characteristics were the opportunity to put strengths to fullest use (79.8%), time to conduct research (60.7%), and work-life balance (51.7%). The key research conditions included a good research incentive mechanism (77.5%), a Basic Scientific Research Foundation (68.5%), opportunity to apply to conduct research projects (66.3%), and the nursing team's atmosphere regarding research (64.0%), and 91.0% were eager to study abroad (e.g., as part of an international exchange). CONCLUSIONS: Nursing PhD students would like to work in their hometown or near their previous workplace. Most preferred working in an educational institution, and the most popular fields were nursing education and research (rather than clinical care), despite the high demand of hospital management for nursing PhD graduates. Flexible work, high-quality research conditions, a certain salary, work benefits, and training were key expectations.

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Better milk safety control can offer important means to promote public health. However, few technologies can detect different types of contaminants in milk simultaneously. In this regard, the present work proposes a single-drop Raman imaging (SDRI) strategy for semiquantitation of multiple hazardous factors in milk solutions. By developing SDRI strategy that incorporates the coffee-ring effect (a natural phenomenon often presents in a condensed circle pattern after a drop evaporated) for sample pretreatment and discrete wavelet transform for spectra processing, the method serves well to expose typical hazardous molecular species in milk products, such as melamine, sodium thiocyanate and lincomycin hydrochloride, with little sample preparation. The detection sensitivity for melamine, sodium thiocyanate, and lincomycin hydrochloride are 0.1 mg kg-1, 1 mg kg-1, and 0.1 mg kg-1, respectively. Theoretically, we establish that the SDRI represents a novel and environment-friendly method that screens the milk safety efficiently, which could be well extended to inspection of other food safety.

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OBJECTIVE: To know the mastery degree of percutaneous coronary intervention (PCI) preoperative nursing knowledge in nurses who are working in emergency department and cardiac ward. METHODS: 158 cases of nurses who came from three different class III grade hospitals with qualification for emergency PCI surgery of the Guizhou province were surveyed with self-made questionnaire. The survey was conducted in nurses who were working in different departments, and the educational background, age, title, category, the cognitive situation of the PCI preoperative nursing knowledge and necessity of preoperative preparations were investigated in nurses. RESULTS: The whole pass rate was 48.10%; high qualification, high education, higher title of nurses for the nursing knowledge of the emergency PCI were better; the emergency PCI preoperative preparations for the necessity of cognitive about nurses were on the low side. CONCLUSIONS: The cognition of the nursing knowledge and the necessity of emergency PCI in preoperative preparations as whole are on the low level, so specialized training should be strengthened to enhance the ability of specialized nursing.

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BACKGROUND: Etanercept was highly recommended for patients with ankylosing spondylitis (AS), as its efficacy has been confirmed in AS, while genetic polymorphisms, by affecting drug metabolism or drug receptor, lead to interindividual variability in drug disposition and efficacy. Therefore, this study aims to investigate whether ABCB1 gene polymorphisms can predict therapeutic response to etanercept in patients with AS. METHODS: A total of 185 patients with AS in our hospital were recruited into our study from December 2012 to May 2015. The frequency distributions of genotype and allele of rs2032582, rs1128503, and rs1045642 were detected by polymerase chain reaction (PCR) and electrophoresis verification enzyme products method. AS patients received etanercept treatment for 12 weeks, followed by this would be evaluated by the bath AS disease activity index (BASDAI) score improvement and the assessment of spondyloArthritis international society 20/50/70 (ASAS20/50/70) score improvements to explore the relationship between genotype of ABCB1 gene polymorphisms and therapeutic response to etanercept in patients with AS. RESULTS: After 12 weeks, the BASDAI score mean improvement value of rs2032582 A/A genotype was 2.87 ±â€Š0.52. The ratios of patients with rs2032582 A/A genotype reaching the BASDAI50 and ASAS20 evaluation criteria were 64.29% and 92.86%, respectively. The results indicated that efficacy of etanercept was promoted in rs2032582 A/A genotype. The BASDAI score mean improvement value of rs1128503 C/C genotype was 2.79 ±â€Š0.54 after 12 weeks. The ratios of patients with rs1128503 C/C genotype reaching the BASDAI50 and ASAS20 evaluation criteria were 66.67% and 93.94%, respectively. The results indicated that efficacy of etanercept was promoted in rs1128503 C/C genotype. However, no significant associations were observed between rs1045642 and therapeutic response to etanercept in AS patients. CONCLUSION: ABCB1 gene rs2032582 and rs1128503 polymorphisms may be associated with the efficacy of etanercept in AS patients. ABCB1 gene polymorphisms can act as biological indicators of etanercept efficacy.

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The mechanism underlying acrylamide-induced neurotoxicity remains controversial. Previous studies have focused on acrylamide-induced toxicity in adult rodents, but neurotoxicity in weaning rats has not been investigated. To explore the neurotoxic effect of acrylamide on the developing brain, weaning rats were gavaged with 0, 5, 15, and 30 mg/kg acrylamide for 4 consecutive weeks. No obvious neurotoxicity was observed in weaning rats in the low-dose acrylamide group (5 mg/kg). However, rats from the moderate- and high-dose acrylamide groups (15 and 30 mg/kg) had an abnormal gait. Furthermore, biochemical tests in these rats demonstrated that glutamate concentration was significantly reduced, and γ-aminobutyric acid content was significantly increased and was dependent on acrylamide dose. Immunohistochemical staining showed that in the cerebral cortex, γ-aminobutyric acid, glutamic acid decarboxylase and glial fibrillary acidic protein expression increased remarkably in the moderate- and high-dose acrylamide groups. These results indicate that in weaning rats, acrylamide is positively associated with neurotoxicity in a dose-dependent manner, which may correlate with upregulation of γ-aminobutyric acid and subsequent neuronal degeneration after the initial acrylamide exposure.

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The purpose of this study was to evaluate the effects of polydatin (PD) on cyclooxygenase-2 (COX-2) and inducible nitric oxide synthase (iNOS) expressions at protein and transcriptional levels, as well as the production of prostaglandin E2 (PGE2) and nitric oxide (NO) in lipopolysaccharide (LPS)-induced macrophage RAW 264.7 cells. To elucidate the underlying mechanism responsible for these symptoms, we investigated the phosphorylation of mitogen-activated protein kinase (MAPK) pathway and nuclear factor-κB (NF-κB) expression. NO was analyzed with the Griess method. PGE2 was measured by enzyme-linked immunosorbent assay (ELISA). iNOS and COX-2 messenger RNA (mRNA) were identified by qPCR assay. iNOS, COX-2, NF-κB, extracellular signal-regulated kinase (ERK), c-Jun N-terminal kinase (JNK) and p38 protein expressions were detected with Western blot. The results revealed that PD effectively inhibited NO and PGE2 production, and it is not surprising that PD reduced iNOS and COX-2 expression at protein and transcriptional levels. Additionally, PD significantly ameliorated the activation of NF-κB and the phosphorylation of MAPKs in LPS-induced RAW 264.7 macrophages. These findings suggested that PD exerted potent anti-inflammatory activity in macrophages.

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This work was aimed at studying the method of computer-aided diagnosis of early knee OA (OA: osteoarthritis). Based on the technique of MRI (MRI: Magnetic Resonance Imaging) T2 Mapping, through computer image processing, feature extraction, calculation and analysis via constructing a classifier, an effective computer-aided diagnosis method for knee OA was created to assist doctors in their accurate, timely and convenient detection of potential risk of OA. In order to evaluate this method, a total of 1380 data from the MRI images of 46 samples of knee joints were collected. These data were then modeled through linear regression on an offline general platform by the use of the ImageJ software, and a map of the physical parameter T2 was reconstructed. After the image processing, the T2 values of ten regions in the WORMS (WORMS: Whole-organ Magnetic Resonance Imaging Score) areas of the articular cartilage were extracted to be used as the eigenvalues in data mining. Then,a RBF (RBF: Radical Basis Function) network classifier was built to classify and identify the collected data. The classifier exhibited a final identification accuracy of 75%, indicating a good result of assisting diagnosis. Since the knee OA classifier constituted by a weights-directly-determined RBF neural network didn't require any iteration, our results demonstrated that the optimal weights, appropriate center and variance could be yielded through simple procedures. Furthermore, the accuracy for both the training samples and the testing samples from the normal group could reach 100%. Finally, the classifier was superior both in time efficiency and classification performance to the frequently used classifiers based on iterative learning. Thus it was suitable to be used as an aid to computer-aided diagnosis of early knee OA.

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