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The grade groups (GGs) of Gleason scores (Gs) is the most critical indicator in the clinical diagnosis and treatment system of prostate cancer. End-to-end method for stratifying the patient-level pathological appearance of prostate cancer (PCa) in magnetic resonance (MRI) are of high demand for clinical decision. Existing methods typically employ a statistical method for integrating slice-level results to a patient-level result, which ignores the asymmetric use of ground truth (GT) and overall optimization. Therefore, more domain knowledge (e.g., diagnostic logic of radiologists) needs to be incorporated into the design of the framework. The patient-level GT is necessary to be logically assigned to each slice of a MRI to achieve joint optimization between slice-level analysis and patient-level decision-making. In this paper, we propose a framework (PCa-GGNet-v2) that learns from radiologists to capture signs in a separate two-dimensional (2-D) space of MRI and further associate them for the overall decision, where all steps are optimized jointly in an end-to-end trainable way. In the training phase, patient-level prediction is transferred from weak supervision to supervision with GT. An association route records the attentional slice for reweighting loss of MRI slices and interpretability. We evaluate our method in an in-house multi-center dataset ( N = 570) and PROSTATEx ( N = 204), which yields five-classification accuracy over 80% and AUC of 0.804 at patient-level respectively. Our method reveals the state-of-the-art performance for patient-level multi-classification task to personalized medicine.

Background Oxidative damage has been found in various types of hair loss. As a polyphenolic phytoalexin, resveratrol (RSV) is known as an antioxidant, anti-inflammatory and anti-apoptotic agent. Objective Thus, we aim to examine the effects of RSV on hair growth. Methods In vivo C57BL/6 mice were used to evaluate the effects of RSV on hair cycle, hair length, skin thickness, hair follicle diameter, hair cycle score and the percentage of hair cycle stage. Then hair shaft length and hair cycle were evaluated by human hair follicles (HFs) ex vivo. The proliferative activities of human dermal papilla cells (hDPCs) cultured in vitro with RSV were assessed using RTCA. The ability of RSV to protect hDPCs against H2O2-induced oxidative damage is examined by a ROS assay kit. Results Topical application of RSV significantly promoted hair growth and stimulated the transition of hair cycle from telogen into the anagen phase on shaved C57BL/6 mice. Ex vivo experiments showed that RSV increased the hair shaft length of HFs and delayed the entry into catagen. In vitro experiments indicated that RSV proliferated hDPCs and prevented hDPCs from oxidative damage caused by H2O2. Conclusion RSV can promote hair growth and may be a potential candidate for the treatment of hair loss., Graphical Abstract

Objective This study examines whether greater private-sector participation in aged care can lead to better outcomes by comparing quality of care and prices of residential aged care facilities across three ownership types: government-owned, private not-for-profit and for- profit facilities. Australia, like many other countries, has been implementing market-oriented reforms aiming to promote greater consumer choice and increase the role of markets and private-sector participation in aged care. Methods Using retrospective facility-level data, the study relates several measures of quality of care and a measure of price to ownership types while controlling for facility characteristics. The data covered six financial years (2013/14–2018/19) and contained 2,900 residential aged-care facilities, capturing almost all facilities in Australia. About 55% were private not-for-profit, 30% private for-profit and 15% government-owned. Results Government-owned facilities provide higher quality of care in most quality measures and charge the lowest average price than private for-profit and not-for-profit facilities. Discussion Reforms promoting private-sector participation in aged care are unlikely to result in effective competition to drive quality up or prices down unless sources of market failure are addressed. In Australia, the lack of public reporting of quality and the complex pricing structure are key issues that prevent market forces and consumer choice from working as intended.

Colorectal cancer causes over 53,000 deaths annually in the United States. Its rising incidences worldwide and particularly in young adults is a major concern. Here, we evaluated the efficacy of omeprazole that is clinically approved for treating acid reflux, to enable its repurposing for colorectal cancer prevention. In the azoxymethane-induced rat colorectal cancer model, dietary omeprazole (250 and 500 ppm) was administered at early adenoma stage (8 weeks after azoxymethane) to assess the progression of early lesions to adenocarcinoma. Administration of omeprazole at 250 or 500 ppm doses led to suppression of total colon adenocarcinoma incidence by 15.7% and 32% (P < 0.01), respectively. Importantly, invasive carcinoma incidence was reduced by 59% (P < 0.0005) and 90% (P < 0.0001) in omeprazole-administered rats in a dose-dependent manner. There was also a strong and dose-dependent inhibition in the adenocarcinoma multiplicity in rats exposed to omeprazole. Administration of 250 and 500 ppm omeprazole inhibited total colon adenocarcinoma multiplicity by approximately 49% and approximately 65% (P < 0.0001), respectively. While noninvasive adenocarcinomas multiplicity was suppressed by approximately 34% to approximately 48% (P < 0.02), the invasive carcinomas multiplicity was reduced by approximately 74% to approximately 94% (P < 0.0001) in omeprazole-exposed rats in comparison with the untreated rats. Biomarker analysis results showed a decrease in cell proliferation and anti-apoptotic/pro-survival proteins with an increase in apoptosis. Transcriptome analysis of treated tumors revealed a significant increase in adenocarcinoma inhibitory genes (Olmf4; Spink4) expression and downregulation of progression promoting genes (SerpinA1, MMP21, IL6). In summary, omeprazole showed significant protection against the progression of adenoma to adenocarcinoma. Prevention Relevance: Preventing colon cancer is urgently needed because of its high incidence and mortality rates worldwide. Toward this end, preventive efficacy of omeprazole, a common medication, was evaluated in animal model of colorectal cancer and was found to suppress colonic adenoma progression to carcinoma. These findings warrant its further evaluation in humans.

Hemolymphangioma is an extremely rare type of lymphatic and vascular malformation, histologically comprised of both cystic dilated veins and lymphatic vessels. They have been reported to occur in the skin, extremities, pancreas, spleen, mediastinum, as well as in the gastrointestinal tract. A 61-year-old male patient presented with a 2-week history of left lower abdominal and back pain. He had no relevant personal or family past medical history. He denied fever, trauma or weight change, but had noted early satiety with eating. On physical examination, a 10 cm soft, mobile, well-defined, minimally tender mass was palpated in the lower left abdomen. Computed tomography confirmed a large intraperitoneal cystic mass, and resection was advised. The mass was completely excised laparoscopically from the transverse mesocolon. Histopathology verified the diagnosis of hemolymphangioma. The patient recovered uneventfully, and no recurrence was identified at 3 months follow-up. Hemolymphangioma is more common in women and occurs in the fourth to fifth decades of life. The intent of this case report and literature review was to highlight the key aspects of presentation, organ involvement, imaging, histopathological characteristics, and treatment of hemolymphangioma involving the gastrointestinal tract.

Hypertension (HTN) and osteoarthritis (OA) are frequent in middle-aged and elderly people, and the co-occurrence of these two diseases is common. However, the pathogenesis of the multimorbidity of both diseases and the relation with sleep quality, hyperlipemia, and hyperglycemia is unclear. We conducted a cross-sectional study to make sense of the multimorbidity of HTN and OA and the relation with sleep quality, hyperlipemia, and hyperglycemia. The relation between sleep quality and OA and its joint effect with hyperlipemia or hyperglycemia was evaluated with logistic regression models. The additive interaction was assessed with the relative excess risk due to interaction (REEI), the attributable proportion (AP), and the synergy index (S). According to this research in a remote rural area, approximately 34.2% of HTN patients are accompanied with OA and 49.1% are suffering poor sleep. Both hyperlipemia/hyperglycemia and sleep quality were related to OA prevalence with crude ORs of 1.43 (95% CI 1.014–2.029) and 1.89 (95% CI 1.411–2.519, P

Currently, most organic semiconducting materials (OSMs) are π-conjugated structures in one or two dimension (2D), where the lack of layer-layer π-conjugation connection greatly blocks their electron delocalization and transport. The 3D fully conjugated materials could solve this issue because they can provide efficient charge-transport pathways throughout the whole 3D skeleton, in which the suitable 3D building block is the key to the development of fully conjugated 3D OSMs. Cyclooctatetraene (COT) and its derivatives are good candidates due to their π-conjugation with 3D saddle-shaped architecture. In this Concept, we discuss the key features of saddle-shaped COT-based derivatives and their synthetic strategy, then we present the current development of using the COT derivatives as building blocks to construct the 3D fully conjugated organic small compound- and polymer-based OSMs. The properties and perspectives of these OSMs in photovoltaics, electro-catalysis and electrical conductivities are also discussed. These recent advances in the developing 3D fully conjugated materials could potentially open up a new frontier in the design of OSMs.

To investigate the clinical factors that could be used predict the number of transferable blastocysts in preimplantation genetic testing (PGT) cycles based on next-generation sequencing (NGS) and formed form a mathematical model to predict the chance likelihood of obtaining one transferable blastocyst, which is helpful for genetic counseling. This retrospective study enrolled couples undergoing PGT cycles for chromosomal structural rearrangement (PGT-SR, n = 363, 202 with reciprocal translocation carriers, 131 with Robertsonian translocation carriers, 30 with inversion carriers), monogenic diseases (PGT-M, n = 47), and for Aneuploidies (PGT-A, n = 132) from January 2015 to October 2018. Stepwise multiple linear regression analysis was used to identify the factors relevant for obtaining at least one transferable blastocyst. The factors that predict the number of biopsied blastocysts were further analyzed. The transferable blastocyst rates were 29.94, 41.99, 49.09, 41.42, and 44.37% in the reciprocal translocation carrier, Robertsonian translocation carrier, inversion carrier, PGT-M, and PGT-A cycles, respectively. The number of transferable blastocysts in these cycles were 0.3004 × the number of biopsied blastocysts (NBB) − 0.0031, 0.4063 × NBB + 0.0460, 0.5762 × NBB − 0.3128, 0.3611 × NBB + 0.1910, and 0.4831 × NBB − 0.0970, respectively. Furthermore, the number of MII oocytes and female age were clinical predictors of NBB in reciprocal translocation and PGT-A couples, while the number of MII oocytes was the only clinical predictor in Robertsonian translocation carriers, inversion carriers, and PGT-M couples. The number of biopsied blastocysts was the only clinical predictor of the ability to obtain a transferable blastocyst in PGT cycles; therefore, for clinical practice, theoretically the minimum numbers of biopsied blastocysts is 4 in reciprocal translocation carrier and 3 in couples undergoing PGT for other reasons. The number of MII oocytes and female age were clinical predictors of the number of biopsied blastocysts. With the mathematical models in our study as a reference, in clinical practice, clinicians will be able to conduct a more targeted genetic consultation for different kinds of PGT patients.

In the process of detecting materials inside a tray in an automated production line, it is necessary to detect not only the known materials and blank space in the designated area, but also the unknown materials misplaced inside the tray. However, the supervised detection algorithm based on deep learning can only detect the known and blank material areas. Therefore, this paper proposed a phased material detection. The first stage is to detect the tray and then identify the material area in the second stage. In order to improve the tray detection accuracy during the first stage under the condition of a high intersection ratio, an improved YOLOv5s tray detection method is proposed. The structure of YOLOv5s is improved using the SENet. This paper proposes to use the rich geometric information of the shallow network and the high‐level semantic information to integrate the bypass features. MAP@0.5:0.95 of the improved model increased from 95.7% to 96.6% and MAP@0.95 from 78.5% to 90.8%. The challenge of detecting unknown wrong materials on a tray can be resolved through the recognition of material area segmentation images processed by using the improved pre‐detection algorithm, together with the relative position reference between the material area and the tray. The experimental results showed that the improved method proposed meets the industrial detection requirements with an overall recognition accuracy of 91% within a 250 ms detection interval.

With strikingly high speed, data retention ability and storage density, resistive RAMs have emerged as a forerunning nonvolatile memory. Here we developed a Re-RAM with ultra-high density array of monocrystalline perovskite quantum wires (QWs) as the switching matrix with a metallic silver conducting pathway. The devices demonstrated high ON/OFF ratio of ∼107 and ultra-fast switching speed of ∼100 ps which is among the fastest in literature. The devices also possess long retention time of over 2 years and record high endurance of ∼6 × 106 cycles for all perovskite Re-RAMs reported. As a concept proof, we have also successfully demonstrated a flexible Re-RAM crossbar array device with a metal-semiconductor-insulator-metal design for sneaky path mitigation, which can store information with long retention. Aggressive downscaling to ∼14 nm lateral dimension produced an ultra-small cell effectively having 76.5 nm2 area for single bit storage. Furthermore, the devices also exhibited unique optical programmability among the low resistance states.

Negative emotions and sleep disorders are common health-related concerns faced by many people who live under some sort of pressure in modern society. In the long run, these issues can decline the i...

Background Coronavirus disease 2019 (COVID-19) is a highly infectious and pathogenic respiratory disease. To date, there is no effective treatment, and there is an urgent need to develop vaccines against the virus. Five coronavirus COVID-19 vaccines have been approved for inoculation in China, with good safety and few adverse reactions. Case presentation A 50-year-old woman complained of bilateral blurred vision and visual distortion 5 days after vaccination with the inactivated COVID-19 vaccine. Physical and auxiliary examination showed that she developed bilateral posterior uveitis. The patient was administered local and systemic steroids, and the symptoms were appreciably improved 5 weeks later. Conclusions A case of bilateral uveitis after COVID-19 vaccination was reported and indicated that uveitis after vaccination appears transient and responds well to steroids.

Social impairment is a cardinal feature of schizophrenia spectrum disorders (SZ). Smaller social network size, diminished social skills, and loneliness are highly prevalent. Existing, gold-standard assessments of social impairment in SZ often rely on self-reported information that depends on retrospective recall and detailed accounts of complex social behaviors. This is particularly problematic in people with SZ given characteristic cognitive impairments and reduced insight. Ecological Momentary Assessment (EMA; repeated self-reports completed in the context of daily life) allows for the measurement of social behavior as it occurs in vivo, yet still relies on participant input. Momentary characterization of behavior using smartphone sensors (e.g., GPS, microphone) may also provide ecologically valid indicators of social functioning. In the current study we tested associations between both active (e.g., EMA-reported number of interactions) and passive (GPS-based mobility, conversations captured by microphone) smartphone-based measures of social activity and measures of social functioning and loneliness to examine the promise of such measures for understanding social impairment in SZ. Our results indicate that passive markers of mobility were more consistently associated with EMA measures of social behavior in controls than in people with SZ. Furthermore, dispositional loneliness showed associations with mobility metrics in both groups, while general social functioning was less related to these metrics. Finally, interactions detected in the ambient audio were more tied to social functioning in SZ than in controls. Findings speak to the promise of smartphone-based digital phenotyping as an approach to understanding objective markers of social activity in people with and without schizophrenia.

To evaluate the application of medical magnifying loupes in diagnosis of oral mucosal diseases. Twenty-four patients with plaque-type oral lichen planus or homogeneous oral leukoplakia were inspected by naked eyes or assistance with magnifying loupes. Histopathological results were used as the gold standard to evaluate the sensitivity, specificity and accuracy of the two methods in clinical diagnosis. Questionnaires were used to evaluate the subjective effect of magnifying loupes on the diagnosis efficiency of oral mucosal diseases and to explore the most suitable parameters for application. The sensitivity, specificity and accuracy of medical magnifying loupes for the identification of plaque-type oral lichen planus and homogeneous oral leukoplakia were 94.74%, 100.00% and 95.83%, respectively, which were significantly higher than those of naked eye inspection (89.47%, 80.00% and 87.50%). The effective rate of magnifying loupes assisted diagnosis was 91.76% according to physicians' subjective evaluation. The most suitable parameters were 3.5 times magnification and working distance. The medical magnifying loupes can effectively improve the efficiency of the inspection and diagnosis of oral mucosal diseases, and have the characteristics of convenience and real-time. The recommended clinical parameters are 3.5 times magnification and working distance.

Background Sphingomyelin (SM) is an essential component of biological lipid rafts, and it plays an indispensable role in maintaining plasma membrane stability and in mediating signal transduction. The ultimate biosynthesis of SM is catalyzed by two sphingomyelin synthases (SMSs) namely SMS1 and SMS2, which are selectively distributed in the trans-Golgi apparatus and the plasma membrane. It has been demonstrated that SMS2 acts as an irreplaceable molecule in the regulation of transmembrane signaling, and loss of SMS2 has been reported to worsen atherosclerosis and liver steatosis. However, the function of SMS2 in platelet activation and its association with the pathological process of thrombosis in acute coronary syndrome (ACS) and portal hypertension (PH) remain unclear. Methods In this study, we tested the role of SMS2 in platelet activation and thrombosis using SMS2 knockout (SMS2 –/–) mice and SMS2-specific inhibitor, D609. Furthermore, we detected SMS2 expression in patients with ACS and PH. Results SMS2 –/– platelets showed significant reduction in platelet aggregation, spreading, clot retraction and in vivo thrombosis. Similar inhibitory effects on platelet activation were detected in D609-treated wild-type platelets. PLCγ/PI3K/Akt signaling pathway was inhibited in SMS2 –/– platelets and D609-treated wild-type platelets. In addition, we discovered that platelet SMS2 expression was remarkably increased in patients with ACS and PH, compared with healthy subjects. Conclusions Our study indicates that SMS2 acts as a positive regulator of platelet activation and thrombosis, and provides a theoretical basis for the potential use of D609 in anti-thrombosis treatment.

Purpose: By reviewing policies on higher education for international students, this article aims to investigate the change of social–historical context, policy issue, and policy solution and provide implications for policymaking. Design/Approach/Methods: The study used qualitative text analysis. One hundred and twelve policy papers were collected from the PKULAW database and the Ministry of Education official website. Deductive categories were constructed under themes like social–historical context, policy issue, and policy solution separately. Findings: Four stages have emerged from the text analysis. The policy focus witnessed a shift from openness to expansion and then to quality. The policies made by the central government changed a lot accordingly. China is increasingly active in higher education internationalization and eager to make the education for international students an attractive brand with high quality. To realize this target, policies should be made based on different types of international students. Additionally, it is necessary that policies provide detailed guidance and accelerate capacity building in all majors. Originality/Value: This study contributes to existing knowledge of higher education for international students in China by providing qualitative policy text analysis, and the insights gained from this study may be of assistance to policymaking in the future.

Accumulating evidence has shown that dietary zinc deficiency (ZD) increases the risk of various cancers including esophageal and gastric cancer. However, the role of ZD in colon tumorigenesis is unknown and the related mechanisms need to be investigated. Apcmin/+ mice, widely used to mimic the spontaneous process of human intestinal tumor, were used to construct a ZD mice model in this study. Inflammatory mediators such as COX-2, TNF-α, CCL, CXCL, and IL chemokines families were evaluated using real-time PCR and Enzyme-linked immunosorbent assay (ELISA). Besides, the immunoreactivities of cyclin D1, PCNA, and COX-2 in the colon were detected by immunohistochemistry. We found that zinc deficiency could promote colon tumorigenesis in Apcmin/+ mice. The mechanisms are involved in the upregulation of inflammatory mediators: COX-2, TNF-α, CCL, CXCL, and IL chemokines families. Administration of celecoxib, a selective COX-2 inhibitor, decreased colon tumorigenesis in Apcmin/+ mice via inhibiting the inflammatory mediators. ZD plays an important role in the process of colon cancers of Apcmin/+ mice. Celecoxib attenuates ZD-induced colon tumorigenesis in Apcmin/+ mice by inhibiting the inflammatory mediators. Our novel finding would provide potential prevention of colorectal tumor-induced by ZD.

An interactive α-satisfactory method via relaxed order of desirable α-satisfactory degrees is proposed for multi-objective optimization with fuzzy parameters and linguistic preference in this paper. Fuzzy parameters existing in objectives and constraints of multi-objective optimization are defined as fuzzy numbers and α-level set is used to build the feasible domain of parameters. On the basis, the original problem with fuzzy parameters is transformed into multi-objective optimization with fuzzy goals. Linguistic preference of decision-maker is modelled by the relaxed order of desirable α-satisfactory degrees of all the objectives. In order to achieve a compromise between optimization and preference, the multi-objective optimization problem is divided into two single-objective sub-problems: the preliminary optimization and the linguistic preference optimization. A preferred solution can be found by parameter adjustment of inner-outer loop. The minimum stable relaxation algorithm of parameter is developed for calculating the relaxation bound of maximum desirable satisfaction difference. The M-α-Pareto optimality of solution is guaranteed by the test model. The effectiveness, flexibility and sensitivity of the proposed method are well demonstrated by numerical example and application example to heat conduction system.

BACKGROUND: HSP60 and its partner HSP10 are members of heat shock proteins (HSPs) family, which help mitochondrial protein to fold correctly. Mcl-1, a member of the Bcl-2 family, plays a crucial role in regulation of cell apoptosis. Aberrant expression of HSP10, HSP60 and Mcl-1 is involved in the development of many tumors. OBJECTIVE: To examine the association between expression of HSP10, HSP60 and Mcl-1 and clinicopathological features of non-small cell lung cancer (NSCLC). METHODS: Tissue microarrays including 53 non-cancerous lung tissues (Non-CLT) and 354 surgically resected NSCLC were stained with anti-HSP10, anti-HSP60 and anti-Mcl-1 antibodies respectively by immunohistochemistry. RESULTS: Higher expression of HSP10, HSP60 and Mcl-1 was found in NSCLC compared with Non-CLT. Both individual and combined HSP10 and HSP60 expression in patients with clinical stage III was higher than that in stage I ∼ II. Expression of HSP10 showed a positive correlation with HSP60 and Mcl-1. Overall survival time of NSCLC patients was remarkably shorter with elevated expression of HSP10, HSP60 and Mcl-1 alone and in combination. Moreover overexpression of HSP10 and Mcl-1 was poor independent prognostic factor for lung adenocarcinoma patients. CONCLUSIONS: High expression of HSP10, HSP60 and Mcl-1 might act as novel biomarker of poor prognosis for NSCLC patients.

BACKGROUND: The majority of unexplained respiratory distress syndrome (URDS) cases in late preterm and term infants are caused by genetic abnormalities, with the most common of these being ABCA3 gene mutation. At present, it is unclear to neonatologists whether URDS patients with ABCA3 mutation have similar or more challenging clinical profiles to those without any defined genetic abnormalities. Our study aimed to answer this question by comparing the clinical characteristics of severe URDS patients with homozygous or compound heterozygous ABCA3 mutations, a single ABCA3 mutation, or no defined genetic abnormalities. METHODS: This retrospective cohort study involved 39 late preterm and term infants with URDS underwent a clinical exome sequencing at a tertiary neonatal intensive care unit between January 2013 and December 2019. Based on the sequencing result, the study subjects were classified into the homozygous or compound heterozygous mutations, single ABCA3 mutation, or no defined genetic abnormalities groups. The major outcomes, including mortality, the age of symptom onset and development of severe RDS, and the radiological score, were compared between the groups. RESULTS: A novel splicing site (c.3862+1G>C) was identified in one twin with homozygous expression. Patients with homozygous or compound heterozygous ABCA3 mutations exhibited symptom onset and development of severe respiratory distress syndrome (RDS) earlier than those with a single mutation or no genetic abnormalities (P

Resistive RAMs (Re-RAMs) have come to the fore as a rising star among the next generation non-volatile memories with fast operational speed, excellent endurance and prolonged data retention capabilities. Re-RAMs are being profusely used as storage and processing modules in neuromorphic hardware and high frequency switches in radio-frequency (RF) circuits. Owing to its intrinsic hysteresis and abundance of charge migration pathways, lead halide perovskites have emerged as a promising switching medium in Re-RAMs besides their ubiquitous usage in optoelectronic devices. Here, we adopted a lead-free eco-friendly methyl-ammonium bismuth iodide (MA3Bi2I9) perovskite (prepared by solvent-free engineering) as the switching medium sandwiched between copper (Cu) and indium doped tin oxide (ITO) electrodes. The devices exhibited a 104 high ON/OFF ratio that provided a large window for the multi-bit data storage in a single cell with good accuracy. Robust endurance of 1730 cycles and good data retention ability of >3 × 105 s were also observed. Careful switching speed measurements showed the devices can operate with an ultra-fast speed of 10 ns for writing and erasing respectively. The devices responded to light illumination and the prolonged retention of the opto-electrically tuned resistance states paved the way for image memorization.

The purpose of this study is to promote deep interaction in online teaching to be paid more attention to, and to provide guidance and suggestions for the implementation of deep interaction in online teaching. Make online teaching interaction break through the limitation of traditional teaching interaction, attach importance to the innovation of the content and form of teaching interaction, and further form the depth of online teaching interaction; In order to adapt to the interactive characteristics of college students in the new era and promote the comprehensive development of students’ information quality, a new type of teacher-student relationship can be constructed to trigger students’ deep learning. In collection, on the basis of analysis of a large number of research data, analysis of the connotation of the traditional teaching of interaction, think the connotation of the traditional teaching interaction can’t cover online interactive teaching content and form, and online interactive teaching is more form diversification, depth of content, the interaction process of digitalization, digital interactive features such as interactive evaluation, Therefore, the connotation of the deep interaction of online teaching is expanded. On the classification of the interactive teaching, previous studies mainly in view of the interaction of traditional classroom teaching, cannot reflect the type of online interactive teaching, this study based on the online interactive teaching depth delay sexual characteristics, the types of online interactive teaching, online interactive teaching depth can be divided into interpersonal interactions, and interpersonal interactive time delay, the known interaction and people skills four types; Finally, this study discusses the value of deep interaction of online teaching in teacher-student relationship, deep learning, adapting to the personality characteristics of modern students, and training students’ comprehensive development of information quality.

Within the wider affordability crisis affecting major cities throughout the world, share housing has become increasingly important, potentially expanding capacity in the private rental sector. But ...

Spatially modulated full-polarization imaging systems can obtain full Stokes parameter information by single imaging, with strong characteristics of real-time execution and stability. Since all the polarization information is modulated into an interferogram, demodulation becomes an essential step. As the resolution of the obtained image continuously increases, the data to be calculated also increase. Therefore, a higher speed for the demodulation process is requisite. This article proposes a local filtering method and bypasses the frequency centralization method in the frequency domain to improve the speed of demodulation. The demodulation time of an interferogram of size 1024×1024 pixels was reduced from 3.027 473 s to 0.134 637 s, increasing the speed of demodulation by 97.72%. Meanwhile, the demodulation time of an interferogram of size 6144×6144 pixels was reduced from 444.329 92 s to 4.637 069 s, increasing the speed of demodulation by 98.75%.

Objectives Previous studies have found that atropine can slow axial elongation and control the progression of myopia. Some ongoing trials have applied atropine combined with orthokeratology for myopia control, but few studies explored the effect of the strategy on axial elongation. This meta-analysis made a preliminary evaluation of the effect of atropine combined with orthokeratology on axial elongation to provide a reference for further researches. Methods We performed a specific search on PubMed, EMBASE, Cochrane library, Web of Science, Ovid and Chinese electronic databases of VIP and Wanfang for randomized controlled trials, cohort studies and case-control studies conducted up to December 2019. The weighted mean difference (WMD) of mean change in axial elongation between the combination group of atropine and orthokeratology and the orthokeratology group was used for evaluation. Publication bias was detected using the Funnel plots test. Results A total of five studies involving 341 participants younger than 18 years old met our inclusion criteria. The axial elongation was lower in the combination group of atropine and orthokeratology than that of the orthokeratology group (0.25 vs. 0.35; WMD=-0.09 mm, [95% confidence intervals, -0.15 to -0.04], Z=3.39, P=0.0007). Conclusions This meta-analysis demonstrates atropine combined with orthokeratology is effective in slowing axial elongation in myopia children. This effect may be superior to that of the orthokeratology alone.

In this study, we constructed nine coexpression modules and identified that miR‐105‐5p, miR‐767‐5p, miR‐1266‐5p, miR‐4746‐5p, miR‐500a‐3p, miR‐1180‐3p and miR‐139‐5p were differentially expressed in liver cancer. These miRNAs exhibited a significant association with prognosis of patients with liver cancer. Among them, miR‐105‐5p and miR‐139‐5p may be considered as independent prognostic factors. Thus, seven miRNAs could be prognostic biomarkers for liver cancer., Liver cancer is a common malignant tumor with poor prognosis. Due to the lack of specific clinical manifestations at early stages, most patients are already at advanced stages of the disease by the time of diagnosis. Identification of novel biomarkers for liver cancer may thus enable earlier detection, improving outcome. MicroRNAs (miRNAs) are small endogenous noncoding RNAs of 18–22 nucleotides in length, which have a regulatory role in the expression of target proteins. Increased evidence suggests that miRNAs are abnormally expressed in a variety of cancer malignancies. Here, we combined RNA sequencing data and clinical information from The Cancer Genome Atlas Liver Hepatocellular Carcinoma database for weighted gene coexpression network analysis to identify potential miRNA prognostic biomarkers. We constructed nine coexpression modules, allowing us to identify that miR‐105‐5p, miR‐767‐5p, miR‐1266‐5p, miR‐4746‐5p, miR‐500a‐3p, miR‐1180‐3p and miR‐139‐5p are significantly associated with liver cancer prognosis. We found that these miRNAs exhibit significant association with prognosis of patients with liver cancer and confirmed the expression of these miRNAs in liver cancer tissues. Multivariate Cox regression analysis showed that miR‐105‐5p and miR‐139‐5p may be considered as independent factors. In summary, here we report that seven miRNAs have potential value as prognostic biomarkers of liver cancer.

Examining the determinants of technology acceptance has been a central interest across disciplines. The technology acceptance model (TAM) and its variants and extensions are the most popular theoretical frameworks in this line of research. Two model-based meta-analytical approaches, that is, meta-meta-analysis and conventional meta-analysis, are used to pool the correlations and to test the path relationships among the variables of the TAM. We find that the extended TAM, which we term the TAM Plus, prevails in the model fit testing and that the results of the pooled correlations and path coefficients estimated using the meta-meta-analysis and meta-analysis are generally consistent.

According to the sequential surface integration process hypothesis, the fine near-ground-surface representation and the homogeneous ground surface play a vital role in the representation of the ground surface. When an occluding box or opaque wall is placed between observers and targets, observers underestimate egocentric distance. However, in our daily life, many obstacles are perforated and cover the ground surface and targets simultaneously (e.g., fences). Humans see and observe through fences. The images of these fences and targets, projected onto observers’ retinas, overlap each other. This study aims to explore the effects of perforated obstacles (i.e., fences) on space perception. The results showed that observers underestimated the egocentric distances when there was a fence on the ground surface relative to the no-fence condition, and the effect of widely spaced thick wood fences was larger than that of narrowly spaced thin iron fences. We further demonstrated that this effect was quite robust when the target size had a visual angle of 1°, 2°, or 4° in three virtual reality experiments. This study may add support for the notion that the sequential surface integration process hypothesis is applicable even if the obstacle is perforated and covers the target.

In the process of government procurement of public services (GPPS), adverse selection and moral hazard caused by dual asymmetric information can damage public interests and negatively affect the quality of public services. To improve the quality of GPPS, in this study, quality incentive contract models under the condition of dual asymmetric information are designed. These models are based on the optimal incentive contract model in principal–agent theory. The results show that under dual asymmetric information conditions, incentive contracts designed for a continuous type of service capability can identify and stimulate the service abilities of social organizations.

Objectives:To establish a structural equation model for exploring the direct and indirect relationships of depressive symptoms and their associated factors among the Chinese elderly population.Design:A cross-sectional research. The 2015 data from the China Health and Retirement Longitudinal Study (CHARLS) were adopted.Setting:CHARLS is an ongoing longitudinal study assessing the social, economic, and health status of nationally representative samples of middle-aged and elderly Chinese residents.Participants:A total of 5791 participants aged 60 years and above were included.Measurements:Depressive symptoms were used as the study outcome. Sociodemographic characteristics, poor health status, unhealthy habits, and sleep duration were used as predictors. Confirmatory factor analysis was first conducted to test the latent variables. Structural equation model was then utilized to examine the associations among latent variables and depressive symptoms.Results:The mean age of the participants was 68.82 ± 6.86 years, with 55.53% being males. The total prevalence of depressive symptoms was 37.52%. The model paths indicated that sociodemographic characteristics, poor health status, unhealthy habits, and sleep duration were directly associated with depressive symptoms, and the effects were 0.281, 0.509, −0.067, and −0.162, respectively. Sociodemographic characteristics, unhealthy habits, and sleep duration were indirectly associated with depressive symptoms, mediating by poor health status. Their effects on poor health status were −0.093, 0.180, and −0.279, respectively. All paths of the model were significant (P < 0.001). The model could explain 40.9% of the variance in the depressive symptoms of the Chinese elderly population.Conclusions:Depressive symptoms were significantly associated with sociodemographic characteristics, poor health status, unhealthy habits, and sleep duration among Chinese elderly population. The dominant predictor of depressive symptoms was poor health status. Targeting these results might be helpful in rationally allocating health resources during screening or other mental health promotion activities for the elderly.

It remains unknown whether the comparative effectiveness of direct oral anticoagulants (DOACs) and warfarin differs between atrial fibrillation patients with and without a history of stroke or transient ischemic attack (TIA). Using 2012 to 2014 Medicare claims data, we identified patients newly diagnosed with AF in 2013 to 2014 who initiated apixaban, dabigatran, rivaroxaban, or warfarin. We categorized patients based on a history of stroke or TIA. We constructed Cox proportional hazard models that included indicator variables for treatment groups, a history of stroke or TIA, and the interaction between them, and controlled for demographics and clinical characteristics. DOACs were generally more effective than warfarin in stroke prevention; however, there were important differences between subgroups defined by a history of ischemic stroke. In particular, the superiority of dabigatran compared with warfarin in ischemic stroke prevention was more pronounced in patients with a history of stroke or TIA (hazard ratio [HR] 0.64; 95% confidence interval [CI] 0.48 to 0.85) than in patients with no history of stroke or TIA (HR 0.94; 95% CI 0.75 to 1.16; p value for interaction = 0.034). There was no difference in the risk of stroke between apixaban, dabigatran, and rivaroxaban in patients with no history of stroke or TIA. However, in patients with a history of stroke or TIA, the risk of stroke was lower with dabigatran (HR 0.64; 95% CI 0.48 to 0.85) and rivaroxaban (HR 0.70; 95% CI 0.56 to 0.87), compared with apixaban (p value for both interactions

Background Postoperative epidural haematoma and wound infection can cause devastating neurological damage in spinal surgery. Closed drainage is a common method to prevent epidural haematoma, infection and related neurological impairment after lumbar decompression; however, it is not clear whether drainage can reduce postoperative complications and improve clinical efficacy. This randomized study aims to explore the role of closed drainage in reducing postoperative complications and improving the clinical efficacy of single-level lumbar discectomy. Methods A total of 420 patients with single-level lumbar disc herniation were finally included in this study (169 females and 251 males, age 50.0 ± 6.4 years). A total of 214 patients were randomly assigned to the closed drainage group, and 206 patients were assigned to the non-drainage group. The incidence of postoperative fever, symptomatic epidural haematoma, wound infection and the need for revision surgery were compared between the two groups by the chi-square test or Fisher’s exact test. The visual analogue scale (VAS) and oswestry disability index (ODI) were used to evaluate the improvement of pain relief and the recovery of lumbar function. The VAS and ODI scores were compared between the two groups using t tests. Results The complications of the two groups were compared and analysed. There was only a statistically significant difference in the postoperative fever rate (p = 0.022), as the non-drainage group had a higher fever rate, but there were no significant differences in the rates of symptomatic epidural haematoma, wound infection or revision operation (p > 0.05). After concrete analysis, for the rate of fever less than 38.5 degrees, there was a statistically significant difference (p = 0.027), but there was no significant difference when the fever was greater than 38.5 degrees (p > 0.05). When comparing the VAS scores of the operation area on the first day after the operation, the pain relief in the closed drainage group was significantly better than that in the non-drainage group, with scores of 5.1 ± 0.8 and 6.0 ± 0.7, respectively (p p > 0.05). Conclusions For single-level lumbar discectomy, closed drainage is beneficial for reducing postoperative low-grade fever and relieving pain in the operation area in the very early postoperative stage. However, drainage does not have a significant impact on reducing the incidence of postoperative complications or improving clinical efficacy. Trial registration Current Controlled Trials ChiCTR1800016005, May/06/2018, retrospectively registered.

This paper introduces a convolutional neural network (CNN) semantic re-ranking system to enhance the performance of sketch-based image retrieval (SBIR). Distinguished from the existing approaches, the proposed system can leverage category information brought by CNNs to support effective similarity measurement between the images. To achieve effective classification of query sketches and high-quality initial retrieval results, one CNN model is trained for classification of sketches, another for that of natural images. Through training dual CNN models, the semantic information of both the sketches and natural images is captured by deep learning. In order to measure the category similarity between images, a category similarity measurement method is proposed. Category information is then used for re-ranking. Re-ranking operation first infers the retrieval category of the query sketch and then uses the category similarity measurement to measure the category similarity between the query sketch and each initial retrieval result. Finally, the initial retrieval results are re-ranked. The experiments on different types of SBIR datasets demonstrate the effectiveness of the proposed re-ranking method. Comparisons with other re-ranking algorithms are also given to show the proposed method's superiority. Further, compared to the baseline systems, the proposed re-ranking approach achieves significantly higher precision in the top ten different SBIR methods and datasets.

PurposeThe effect of board intellectual capital on non-profit organizational performance in non-western, less developed economies has been an important yet under-researched area. Given that the institutional and business relationships of a board account for the majority of board intellectual capital, the purpose of this paper is to fill the previously mentioned research gap by addressing how the interactions of the two relationships of board directors influence Chinese philanthropic foundation performance.Design/methodology/approachFollowing Creswell's (2014) explanatory sequential mixed-methodology, a qualitative study (Study 1) was first conducted to pre-test the assumptions, and then a quantitative study (Study 2) was carried out based on a secondary database of 1,405 Chinese philanthropic foundations to further examine the hypotheses. Several regression models were built for analyzing the results.FindingsStudy 1 confirmed that Chinese philanthropic foundations gained greater revenues and hosted more public welfare activities by leveraging the reinforcing or complementary effects of board directors' intellectual capital to improve organizational performance. Study 2 further examined the hypotheses that the interactions of intellectual capital increased the total revenue and public welfare expenditure of the foundations; however, significant positive relationships were only identified in foundations at the local level, and no significant associations were found in those at the national level.Practical implicationsThe research indicates that the intellectual capital of board directors may influence the performance of their philanthropic foundations. Thus, Chinese philanthropic foundations should be more aware of the importance of this influence when determining which candidates will join the board.Originality/valueThe study makes significant contributions to the existing knowledge of the development of non-governmental organizations; it incorporates the resource dependence theory and agency theory into understanding how the intricate interactions between the institutional and business relationships of board directors affect foundation performance and how the jurisdiction affiliations act as a boundary condition for such relationships in a non-western setting such as China.

In response to the rapidly growing demand for elderly care service in China, rational allocation of limited resources and improvement of public satisfaction have become one of the urgent problems to be solved in government procurement of elderly care services. With the aid of quality function deployment, a programming model is established to allocate resource with maximizing customer satisfaction. Taking home care service as an example, on the basis of identifying the elderly’s requirements, designing attributes, optimal allocation of limited resource is conducted based on the proposed approach. Results show that staff in the home care service center should pay more attention to improve their service attitude and service quality. Meanwhile, more resources should also be allocated to improve the specialization of the franchise center, and to increase the provision of professional medical personnel and purchase of common medicines for emergencies as well as facilities for rehabilitation. This study expands the field of elderly care service by introducing a more efficient resource-allocation approach, thus helping governments in decision-making.

A framework for the algorithm-based CL platform is established, based on which, the operational mode of it is described in detail. An integrated logistics task assignment model is built to optimally match logistics service resources and task of large scale in the algorithm-based CL. Particularly, an improved grasshopper optimization-based bitarget optimization algorithm (GROBO) is proposed to solve the biobjective programming model for service matching in CL. The case of Linyi small commodity logistics is taken as an application. Simulation results show that the proposed GROBO provides better solutions regarding to searching efficiency and stability in solving the model.

Recent observational studies suggest that bisphosphonates (BP) and antidiabetic drugs are associated with colorectal cancer risk reduction. Hence, we evaluated the colorectal cancer preventive effects of BPs (zometa and fosamax), individually and when combined with metformin, in azoxymethane-induced rat colon cancer model. Rat (30/group) were randomized and treated subcutaneously with azoxymethane to induce colorectal cancer. Dietary intervention with zometa or fosamax (0, 20, or 100 ppm) or metformin (1,000 ppm) or the combinations (zometa/fosamax 20 ppm plus metformin 1,000 ppm) began 4 weeks after azoxymethane treatment, at premalignant lesions stage. Rats were killed 40 weeks post drug intervention to assess colorectal cancer preventive efficacy. Dietary zometa (20 ppm) inhibited noninvasive adenocarcinomas multiplicity by 37% (P < 0.03) when compared with control diet fed group. Fosamax at 20 ppm and 100 ppm significantly reduced adenocarcinoma incidence (P < 0.005) and inhibited the noninvasive adenocarcinoma multiplicities by 43.8% (P < 0.009) and 60.8% (P < 0.004), respectively, compared with the group fed control diet. At 1,000 ppm dose, metformin failed to suppress colon adenocarcinoma formation. However, the lower dose combinations of zometa or fosamax with metformin resulted in significant inhibition of noninvasive adenocarcinoma by 48% (P < 0.006) and 64% (P < 0.0002), and invasive adenocarcinoma by 49% (P < 0.0005) and 38% (P < 0.006), respectively. Biomarker analysis of combination drug–treated tumors showed a decrease in cell proliferation with increased apoptosis when compared with untreated tumors. Overall, our results suggest that the combination of low doses of zometa or fosamax with metformin showed synergistic effect and significantly inhibited colon adenocarcinoma incidence and multiplicity.

Rationale: To reduce upgrading and downgrading between needle biopsy (NB) and radical prostatectomy (RP) by predicting patient-level Gleason grade groups (GGs) of RP to avoid over- and under-treatment. Methods: In this study, we retrospectively enrolled 575 patients from two medical institutions. All patients received prebiopsy magnetic resonance (MR) examinations, and pathological evaluations of NB and RP were available. A total of 12,708 slices of original male pelvic MR images (T2-weighted sequences with fat suppression, T2WI-FS) containing 5405 slices of prostate tissue, and 2,753 tumor annotations (only T2WI-FS were annotated using RP pathological sections as ground truth) were analyzed for the prediction of patient-level RP GGs. We present a prostate cancer (PCa) framework, PCa-GGNet, that mimics radiologist behavior based on deep reinforcement learning (DRL). We developed and validated it using a multi-center format. Results: Accuracy (ACC) of our model outweighed NB results (0.815 [95% confidence interval (CI): 0.773-0.857] vs. 0.437 [95% CI: 0.335-0.539]). The PCa-GGNet scored higher (kappa value: 0.761) than NB (kappa value: 0.289). Our model significantly reduced the upgrading rate by 27.9% (P < 0.001) and downgrading rate by 6.4% (P = 0.029). Conclusions: DRL using MRI can be applied to the prediction of patient-level RP GGs to reduce upgrading and downgrading from biopsy, potentially improving the clinical benefits of prostate cancer oncologic controls.

Aim: The aim of this study was to investigate whether magnetic resonance spectrum (MRS) and MR imaging features can be used for non-invasive medulloblastoma subgrouping, and analyse patient characteristics and prognosis of molecular subtypes of medulloblastoma. Material and Methods: 32 patients with medulloblastoma underwent MRI prior to surgical resection, 16 of them underwent MRS. MR imaging features and metabolites measured by MRS were analysed to distinguish molecular subtypes of medulloblastoma. Patient demographics, histopathological types, and prognosis of different molecular subtypes were analysed and compared respectively. Results: MRS and MR imaging features differed from different individuals, but without statistical significance that involves acquiring non-quantitative MR imaging features and NAA/Cr, Cho/Cr, Lip/Cr, Glu and Gln/Cr ratio, to be used to determine molecular subtypes. There was no significant difference of the three molecular subtypes in age, gender and pathological type. The 5-year event-free survival (EFS) of SHH, WNT and non SHH/WNT subtype respectively were 75%, 57.1%, 38.1%, with no significant difference (p = 0.382). 5-year EFS of non SHH/WNT subtype was significantly higher in ≤3 years old group than >3 years old group (p = 0.047). Conclusion: MRS and MR imaging features can’t be used to determine molecular subtypes based on our small sample study. There was no significant difference of the prognosis in the three molecular subtypes. The prognosis of ≤3 years old group of non SHH/WNT subtype is better than >3 years old group.

Neutrophils, the most abundant leukocytes in human blood, are essential fighter immune cells against microbial infection. Based on the finding that neutrophils can either restrict or promote cancer progression, tumor-associated neutrophils (TAN) are classified into anti-tumor N1 and pro-tumor N2 subsets. One of the major mechanisms underlying the tumor-promoting function of N2-TANs is suppression of adaptive immune cells, in particular, cytotoxic T lymphocytes. Currently, no established methodologies are available that can unequivocally distinguish immunosuppressive TANs and granulocytic/polymorphonuclear myeloid-derived suppressor cells (G/PMN-MDSC). In view of the critical role of PMN-MDSCs in immune evasion and resistance to cancer immunotherapy, as established from data obtained with diverse cancer models, therapeutic strategies targeting these cells have been actively developed to enhance the efficacy of immunotherapy. Here, we have reviewed the available literature on strategies targeting PMN-MDSCs and summarized the findings into four categories: (1) depletion of existing PMN-MDSCs, (2) blockade of the development of PMN-MDSCs, (3) blockade of PMN-MDSC recruitment, (4) inhibition of immunosuppressive function. Owing to their high mobility to inflamed organs and ability to trespass the blood-brain barrier, neutrophils are outstanding candidate carriers in nanoparticle-based therapies. Another attractive application of neutrophils in cancer therapy is the use of neutrophil membrane-derived nanovesicles as a surrogate of extracellular vesicles for more efficient and scalable drug delivery. In the second part of the review, we have highlighted recent advances in the field of neutrophil-based cancer drug delivery. Overall, we believe that neutrophil-based therapeutics are a rapidly growing area of cancer therapy with significant potential benefits.

Spatial heterodyne scanning imaging combines the advantages of spatial heterodyne spectroscopy and imaging technology. It can obtain images and spectral information simultaneously with the characteristics of high spectral resolution, high flux, and small volume and can achieve spectral restoration of all target points in the measured area through scan imaging only once. When two-dimensional spatial information and one-dimensional spectral information are obtained, the imaging spectrum data cube is generated. Using MATLAB and ZEMAX as simulation software, image information with interference fringes was constructed, and the distribution of interference information was explored. A potassium lamp, xenon lamp, and tungsten lamp were used as different light sources to perform validation. Because of the influence of the scanning displacement error on the accuracy of interference information extraction, an algorithm for image spectrum reconstruction is proposed based on the principle of distribution of interference information. The speed-up robust features algorithm was used for image registration to improve accuracy. The experimental results show that the spectral information under the three light sources can be reconstructed, which corresponds to the standard spectrum from the optical fiber spectrometer. The feasibility of this imaging spectrum reconstruction has been preliminarily verified, and the spectral information of the desired target can be directly extracted from the data cube.

BackgroundMicrosatellite instability (MSI) is associated with several tumor types and has become increasingly vital in guiding patient treatment decisions; however, reasonably distinguishing MSI from its counterpart is challenging in clinical practice.MethodsIn this study, interpretable pathological image analysis strategies are established to help medical experts to identify MSI. The strategies only require ubiquitous hematoxylin and eosin–stained whole-slide images and perform well in the three cohorts collected from The Cancer Genome Atlas. Equipped with machine learning and image processing technique, intelligent models are established to diagnose MSI based on pathological images, providing the rationale of the decision in both image level and pathological feature level.FindingsThe strategies achieve two levels of interpretability. First, the image-level interpretability is achieved by generating localization heat maps of important regions based on deep learning. Second, the feature-level interpretability is attained through feature importance and pathological feature interaction analysis. Interestingly, from both the image-level and feature-level interpretability, color and texture characteristics, as well as their interaction, are shown to be mostly contributed to the MSI prediction.InterpretationThe developed transparent machine learning pipeline is able to detect MSI efficiently and provide comprehensive clinical insights to pathologists. The comprehensible heat maps and features in the intelligent pipeline reflect extra- and intra-cellular acid–base balance shift in MSI tumor.

Rubrene single crystals have received a lot of attention for their great potential in electronic and wearable nanoelectronics due to their high carrier mobility and excellent flexibility. While they exhibited remarkable electrical performances, their intrinsic potential as photon detectors has not been fully exploited. Here, we fabricate a sensitive and ultrafast organic phototransistor based on rubrene single crystals. The device covers the ultraviolet to visible range (275-532 nm), and the responsivity and detectivity can reach up to ∼4000 A W-1 and 1011 jones at 532 nm, respectively. Furthermore, the response times are highly gate-tunable down to sub-90 μs, and the cutoff frequency is ∼4 kHz, which is one of the fastest organic material-based phototransistors reported so far. Equally important is that the fabricated device exhibits stable light detection ability even after 8 months, indicating great long-term stability and excellent environmental robustness. The results suggest that the high-quality rubrene single crystal may be a promising material for future flexible optoelectronics with its intrinsic mechanical flexibility.

Digital dentistry plays a pivotal role in dental health care. A critical step in many digital dental systems is to accurately delineate individual teeth and the gingiva in the 3-dimension intraoral scanned mesh data. However, previous state-of-the-art methods are either time-consuming or error prone, hence hindering their clinical applicability. This article presents an accurate, efficient, and fully automated deep learning model trained on a data set of 4,000 intraoral scanned data annotated by experienced human experts. On a holdout data set of 200 scans, our model achieves a per-face accuracy, average-area accuracy, and area under the receiver operating characteristic curve of 96.94%, 98.26%, and 0.9991, respectively, significantly outperforming the state-of-the-art baselines. In addition, our model takes only about 24 s to generate segmentation outputs, as opposed to >5 min by the baseline and 15 min by human experts. A clinical performance test of 500 patients with malocclusion and/or abnormal teeth shows that 96.9% of the segmentations are satisfactory for clinical applications, 2.9% automatically trigger alarms for human improvement, and only 0.2% of them need rework. Our research demonstrates the potential for deep learning to improve the efficacy and efficiency of dental treatment and digital dentistry.

The microcontroller smart planter project has an intelligent watering system which is based on a microcontroller programmed to adjust the upper and lower soil moisture limits, detection functions and so on. It also enables the acquisition, setting and comparison of data signals. In this paper, we discuss the microcontroller-based intelligent flowerpot project, the Flower “Dock”, to understand the purpose, significance and basic conditions of the project, and focus on the design of the microcontroller-based intelligent flowerpot project.

Due to the limited number of implantable microelectrodes, subjects worn by retinal prosthesis received only limited discrete light spot (called artificial vision). Thus, the external abundant information is largely lost. Whereas there is little room for significant improvement in the electrodes number, it would be a feasible way to optimize the low-resolution information in the prosthetic vision by effective image processing. Based on luminance contrast, a real-time saliency detection strategy was presented to enhance the artificial vision, which included color space conversion and a visual attention simulation processing method. The strategy was evaluated by two benchmark databases, and its superiority was validated in extracting image foreground compared with the basic luminance contrast and other algorithms. Meanwhile, simulated experiments were conducted to verify the proposed strategy in the retinal prosthesis.

BackgroundIgG4-related disease (IgG4-RD) is a novel clinical entity that mimics many malignant, infectious, and inflammatory disorders. Many organs or tissues are now known to be involved in IgG4-RD; however, there has been no report about IgG4-RD of stomach with fungal infection. Case presentationWe reported a 56-year-old male with IgG4-RD manifesting as ulcerated gastric cancer complicated with gastric mucormycosis. Both clinical and imaging manifestations were atypical, in clinical, it was highly suspected that the disease is a malignant tumor as ulcerated gastric cancer. However, no pathological evidence of malignancy could be found in repeated biopsies and surgically excised gastric specimen. Histological examination showed ulcer and inflammatory granulation with lymphocytes and plasma cells in sheets, inflammation of vascular wall, formation of new fibrous tissue and inflammatory necrosis with hyphae and spores. The plasma cells had immunohistochemically strong staining for CD38, CD138, kappa, lambda, IgG and IgG4. And notably, IgG4/IgG positive plasma cell ratio was more than 40%, kappa/lambda positive staining ratio was approximately 1:1. Gastric mucormycosis was diagnosed with hyphae and spores confirmed by Gomori's methenamine silver staining and immunofluorescence and confocal laser-scanning microscopy. IgG4-RD manifesting as ulcerated gastric cancer complicated with gastric mucormycosis was diagnosed by multidisciplinary team discussion from gastroenterology, radiology and pathology department. The patient vomited blood three times for the following month. An emergent exploratory laparotomy was conducted, and a mass with 10×9×8cm adhered closely to adjacent organs could be touched in lesser curvature of gastric antrum. Anastomotic leakage occurred after the surgery, symptomatic treatments (negative pressure drainage and antibiotics) were applied without steroids and anti-fungus drugs. The patient gradually recovered and was advised to consult gastroenterology department for further steroids and anti-fungus drugs treatment. Conclusions To our knowledge, it is the first report about IgG4-related disease manifesting a gastric ulcer with mucormycosis infection.

Resistive random access memories (Re-RAMs) have transpired as a foremost candidate among emerging nonvolatile memory technologies with a potential to bridge the gap between the traditional volatile and fast dynamic RAMs and the nonvolatile and slow FLASH memories. Here, we report electrochemical metallization (ECM) Re-RAMs based on high-density three-dimensional halide perovskite nanowires (NWs) array as the switching layer clubbed between silver and aluminum contacts. NW Re-RAMs made of three types of methyl ammonium lead halide perovskites (MAPbX

Objective — To investigate the occurrence and risk factors of postoperative delirium in patients with esophageal cancer. Methods — A review of 203 patients undergoing elective surgery for esophageal cancer from April 2019 to December 2020, including 122 males and 81 females. The incidence of postoperative delirium were evaluated through the use of the CAM and divided into delirium group (Group P) and non-delirium group (Group N) according to whether postoperative delirium occurred. Possible confounders and clinically important factors were included in the univariate analysis, and all variables with P-values less than 0.05 in the univariate analysis were included in the multivariate models. Results — A total of 38 cases (18.7%) of postoperative delirium occurred in 203 patients. Group P was significantly older than Group N (P=0.000