Lidar AOD inversion and aerosol extinction profile correction method based on GA-BP neural network.

Lidar is an effective remote sensing method to obtain the vertical distribution of aerosols, and how to select the aerosol extinction-backscattering ratio (AE-BR) during the inversion process is a key step to guarantee the accuracy of the lidar inversion of aerosol optical thickness (AOD) and aerosol extinction coefficient profile (AECP). In this paper, an inversion algorithm for AOD and AECP based on a genetic BP (GA-BP) neural network is proposed. Simultaneous measurements are carried out using CE318 sun photometer and lidar, and the mapping relationship between the lidar echo signal and AOD is established based on the genetic BP (GA-BP) neural network method, which achieves the accurate inversion of AOD with an absolute error mean value of 0.0156. Based on the AOD output from the GA-BP neural network, the real-time best AE- BR to improve the inversion accuracy of AECP. Finally, practical tests show that the method achieves accurate inversion of AOD, determines the range of AE-BR from 20-50sr, realizes real-time dynamic correction of AECP, and has strong generalization ability and applicability in practical situations.

Metabolic engineering of Escherichia coli for efficient production of l-arginine.

As a semi-essential amino acid, l-arginine (l-Arg) plays an important role in food, health care, and medical treatment. At present, the main method of producing l-Arg is the use of microbial fermentation. Therefore, the selection and breeding of high-efficiency microbial strains is the top priority. To continuously improve the l-Arg production performance of the strains, a series of metabolic engineering strategies have been tried to transform the strains. The production of l-Arg by metabolically engineered Corynebacterium glutamicum (C. glutamicum) reached a relatively high level. Escherichia coli (E. coli), as a strain with great potential for l-Arg production, also has a large number of research strategies aimed at screening effective E. coli for producing l-Arg. E. coli also has a number of advantages over C. glutamicum in producing l-Arg. Therefore, it is of great significance to screen out excellent and stable E. coli to produce l-Arg. Here, based on recent research results, we review the metabolic pathways of l-Arg production in E. coli, the research progress of l-Arg production in E. coli, and various regulatory strategies implemented in E. coli.

Acquisition of Plasmid with Carbapenem-Resistance Gene blaKPC2 in Hypervirulent Klebsiella pneumoniae, Singapore.

The convergence of carbapenem-resistance and hypervirulence genes in Klebsiella pneumoniae has led to the emergence of highly drug-resistant superbugs capable of causing invasive disease. We analyzed 556 carbapenem-resistant K. pneumoniae isolates from patients in Singapore hospitals during 2010-2015 and discovered 18 isolates from 7 patients also harbored hypervirulence features. All isolates contained a closely related plasmid (pKPC2) harboring blaKPC-2, a K. pneumoniae carbapenemase gene, and had a hypervirulent background of capsular serotypes K1, K2, and K20. In total, 5 of 7 first patient isolates were hypermucoviscous, and 6 were virulent in mice. The pKPC2 was highly transmissible and remarkably stable, maintained in bacteria within a patient with few changes for months in the absence of antimicrobial drug selection pressure. Intrapatient isolates were also able to acquire additional antimicrobial drug resistance genes when inside human bodies. Our results highlight the potential spread of carbapenem-resistant hypervirulent K. pneumoniae in Singapore.

Radiomics nomogram based on MRI for predicting white matter hyperintensity progression in elderly adults.

BACKGROUND: White matter hyperintensity (WMH) is widely observed in aging brain and is associated with various diseases. A pragmatic and handy method in the clinic to assess and follow up white matter disease is strongly in need. PURPOSE: To develop and validate a radiomics nomogram for the prediction of WMH progression. STUDY TYPE: Retrospective. POPULATION: Brain images of 193 WMH patients from the Picture Archiving and Communication Systems (PACS) database in the A Medical Center (Zhejiang Provincial People's Hospital). MRI data of 127 WMH patients from the PACS database in the B Medical Center (Zhejiang Lishui People's Hospital) were included for external validation. All of the patients were at least 60 years old. FIELD STRENGTH/SEQUENCE: T1 -fluid attenuated inversion recovery images were acquired using a 3T scanner. ASSESSMENT: WMH was evaluated utilizing the Fazekas scale based on MRI. WMH progression was assessed with a follow-up MRI using a visual rating scale. Three neuroradiologists, who were blinded to the clinical data, assessed the images independently. Moreover, interobserver and intraobserver reproducibility were performed for the regions of interest for segmentation and feature extraction. STATISTICAL TESTS: A receiver operating characteristic (ROC) curve, the area under the curve (AUC) of the ROC was calculated, along with sensitivity and specificity. Also, a Hosmer-Lemeshow test was performed. RESULTS: The AUC of radiomics signature in the primary, internal validation cohort, external validation cohort were 0.886, 0.816, and 0.787, respectively; the specificity were 71.79%, 72.22%, and 81%, respectively; the sensitivity were 92.68%, 87.94% and 78.3%, respectively. The radiomics nomogram in the primary cohort (AUC = 0.899) and the internal validation cohort (AUC = 0.84). The Hosmer-Lemeshow test showed no significant difference between the primary cohort and the internal validation cohort (P > 0.05). The AUC of the radiomics nomogram, radiomics signature, and hyperlipidemia in all patients from the primary and internal validation cohort was 0.878, 0.848, and 0.626, respectively. DATA CONCLUSION: This multicenter study demonstrated the use of a radiomics nomogram in predicting the progression of WMH with elderly adults (an age of at least 60 years) based on conventional MRI. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2020;51:535-546.

Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study.

BACKGROUND: Upper gastrointestinal cancers (including oesophageal cancer and gastric cancer) are the most common cancers worldwide. Artificial intelligence platforms using deep learning algorithms have made remarkable progress in medical imaging but their application in upper gastrointestinal cancers has been limited. We aimed to develop and validate the Gastrointestinal Artificial Intelligence Diagnostic System (GRAIDS) for the diagnosis of upper gastrointestinal cancers through analysis of imaging data from clinical endoscopies. METHODS: This multicentre, case-control, diagnostic study was done in six hospitals of different tiers (ie, municipal, provincial, and national) in China. The images of consecutive participants, aged 18 years or older, who had not had a previous endoscopy were retrieved from all participating hospitals. All patients with upper gastrointestinal cancer lesions (including oesophageal cancer and gastric cancer) that were histologically proven malignancies were eligible for this study. Only images with standard white light were deemed eligible. The images from Sun Yat-sen University Cancer Center were randomly assigned (8:1:1) to the training and intrinsic verification datasets for developing GRAIDS, and the internal validation dataset for evaluating the performance of GRAIDS. Its diagnostic performance was evaluated using an internal and prospective validation set from Sun Yat-sen University Cancer Center (a national hospital) and additional external validation sets from five primary care hospitals. The performance of GRAIDS was also compared with endoscopists with three degrees of expertise: expert, competent, and trainee. The diagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of GRAIDS and endoscopists for the identification of cancerous lesions were evaluated by calculating the 95% CIs using the Clopper-Pearson method. FINDINGS: 1 036 496 endoscopy images from 84 424 individuals were used to develop and test GRAIDS. The diagnostic accuracy in identifying upper gastrointestinal cancers was 0·955 (95% CI 0·952-0·957) in the internal validation set, 0·927 (0·925-0·929) in the prospective set, and ranged from 0·915 (0·913-0·917) to 0·977 (0·977-0·978) in the five external validation sets. GRAIDS achieved diagnostic sensitivity similar to that of the expert endoscopist (0·942 [95% CI 0·924-0·957] vs 0·945 [0·927-0·959]; p=0·692) and superior sensitivity compared with competent (0·858 [0·832-0·880], p<0·0001) and trainee (0·722 [0·691-0·752], p<0·0001) endoscopists. The positive predictive value was 0·814 (95% CI 0·788-0·838) for GRAIDS, 0·932 (0·913-0·948) for the expert endoscopist, 0·974 (0·960-0·984) for the competent endoscopist, and 0·824 (0·795-0·850) for the trainee endoscopist. The negative predictive value was 0·978 (95% CI 0·971-0·984) for GRAIDS, 0·980 (0·974-0·985) for the expert endoscopist, 0·951 (0·942-0·959) for the competent endoscopist, and 0·904 (0·893-0·916) for the trainee endoscopist. INTERPRETATION: GRAIDS achieved high diagnostic accuracy in detecting upper gastrointestinal cancers, with sensitivity similar to that of expert endoscopists and was superior to that of non-expert endoscopists. This system could assist community-based hospitals in improving their effectiveness in upper gastrointestinal cancer diagnoses. FUNDING: The National Key R&D Program of China, the Natural Science Foundation of Guangdong Province, the Science and Technology Program of Guangdong, the Science and Technology Program of Guangzhou, and the Fundamental Research Funds for the Central Universities.

Comparison of Short-Term Outcomes Between Robotic-Assisted and Laparoscopic Surgery in Colorectal Cancer.

AIM: The robotic technique has been established as an alternative approach to laparoscopy in colorectal surgery. The aim of this study was to compare short-term outcomes of robot-assisted and laparoscopic surgery in colorectal cancer. METHODS: The cases of robot-assisted or laparoscopic colorectal resection were collected retrospectively between July 2015 and October 2017. We evaluated patient demographics, perioperative characteristics, and pathologic examination. A multivariable linear regression model was used to assess short-term outcomes between robot-assisted and laparoscopic surgery. Short-term outcomes included time to passage of flatus and postoperative hospital stay. RESULTS: A total of 284 patients were included in the study. There were 104 patients in the robotic colorectal surgery (RCS) group and 180 in the laparoscopic colorectal surgery (LCS) group. The mean age was 60.5 ± 10.8 years, and 62.0% of the patients were male. We controlled for confounding factors, and then the multiple linear model regression indicated that the time to passage of flatus in the RCS group was 3.45 days shorter than the LCS group (coefficient = -3.45, 95% confidence interval [CI] = -5.19 to -1.71; P < .001). Additionally, the drainage of tube duration (coefficient = 0.59, 95% CI = 0.3 to 0.87; P < .001) and transfers to the intensive care unit (coefficient = 7.34, 95% CI = 3.17 to 11.5; P = .001) influenced the postoperative hospital stay. The total costs increased by 15501.48 CNY in the RCS group compared with the LCS group ( P = .008). CONCLUSIONS: The present study suggests that colorectal cancer robotic surgery was more beneficial to patients because of shorter postoperative recovery time of bowel function and shorter hospital stays.

The bioaccessibility of iodine in the biofortified vegetables throughout cooking and simulated digestion.

Biofortification of crops with exogenous iodine is a novel strategy to control iodine deficiency disorders (IDD). The bioaccessibility of iodine (BI) in the biofortified vegetables in the course of soaking, cooking and digestion, were examined. Under hydroponics, the concentration of iodine in leafstalks of the celery and pakchoi increased with increasing exogenous iodine concentration, 54.8-63.9% of the iodine absorbed by pakchoi was stored in the soluble cellular substance. Being soaked in water within 8 h, the iodine loss rate of the biofortified celery was 3.5-10.4% only. More than 80% of the iodine in the biofortified celery was retained after cooking under high temperature. The highest BI of the biofortified vegetables after digestion in simulated gastric and intestinal juice amounted to 74.08 and 68.28%, respectively. Factors influencing BI included pH, digestion duration, and liquid-to-solid ratio. The high BI of the biofortified vegetables provided a sound reference for the promotion of iodine biofortification as a tool to eliminate the IDD.

[Raman Signal Enhancement for Gas Detection Using a Hollow Core Optical Fiber].

Raman spectroscopy has been widely used for gas detection due to the advantages of simultaneous multiple species recognition, rapid analysis, and no sample preparation, etc. Low sensitivity is still a great limitation for Raman application. In this work a Raman system based on a hollow core optical fiber (HCOF) was built and the detection sensitivity for the gas was significantly improved. Also a comparison was carried out between the HCOF Raman system and back-scattering Raman system. The obtained results indicated that the HCOF Raman system could well enhance the signal while also for the background and noise. Using HCOF system, 60 folds signal enhancement was achieved with SNR improvement of 6 times for the N2 and O2 in air when comparing to the back-scattering system. While for the same signal intensity, with HCOF system the exposure time was well shortened to 1/60 and the noise was decreased to 1/2 than the back-scattering system.

Bioinformatics Analysis of Potential Candidates for Therapy of TDRD7 Deficiency-Induced Congenital Cataract.

AIMS: The aim of this study was to identify potential candidates and explore the possible mechanism in congenital cataract induced by tudor domain-containing 7 (TDRD7) deficiency. METHODS: The gene expression profile GSE25812 generated from 18 samples was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) between disease and normal groups were identified. Then, gene ontology and pathway enrichment analysis of DEGs were performed. The protein-protein interaction (PPI) network and transcription factor (TF) regulatory network were constructed. The modules in the PPI network were identified. Significant target genes were selected from the TF regulatory network. RESULTS: A total of 329 DEGs were obtained, and downregulated DEGs were significantly enriched in biological processes including defense response and immune response. In the PPI network, high-degree genes of complement component 1, q subcomponent, A/B/C chain (C1QA/C1QB/C1QC), lymphocyte antigen 86 (LY86) and neuroblastoma RAS viral oncogene homolog (NRAS) were identified. From the TF regulatory network, the heat shock 27 kDa protein 1 (HSPB1) was the target of the estrogen receptor 1, and LY86 was the target of the v-myc avian myelocytomatosis viral oncogene homolog. CONCLUSION: HSPB1, NRAS, immune response, defense response and the related genes LY86, C1QA/C1QB/C1QC may play an important role in the development of congenital cataract induced by TDRD7 deficiency. However, further experiments are still needed.

Frequencies of apolipoprotein E alleles in depressed patients undergoing hemodialysis--a case-control study.

OBJECTIVE: To explore the relation between the frequencies of apolipoprotein E (ApoE) alleles and the occurrence of depression in patients undergoing hemodialysis in a Chinese population. METHODS: We examined the ApoE alleles in a sample of 288 subjects: 72 patients with depression under hemodialysis, 74 patients without depression under hemodialysis, 75 patients with depression under nondialytic treatment and 67 patients without depression under nondialytic treatment. The depression state was assessed using the Center for Epidemiological Studies Depression (CES-D) scale. Associations between the occurrence of depression and the frequencies of ApoE alleles were examined using multinomial logistic regression models with adjustment of relevant covariates. Information about sociodemographics, clinical data, vascular risk factors and cognitive function was also collected and evaluated. RESULTS: The frequencies of ApoE-ɛ2 were significantly different between depressed and non-depressed patients irrespective of dialysis (p < 0.05), but no significant difference was found in the frequencies of ApoE-ɛ4 (p > 0.05). Serum ApoE levels were significantly different between depressed and non-depressed patients in the whole sample (p < 0.05). Multinomial logistic regression models showed significant association between the frequency of ApoE-ɛ2 and the occurrence of depression in the Chinese population after control of relevant covariates, including age, sex, educational level, history of smoking and drinking, vascular risk factors and cognitive function. CONCLUSIONS: No association between the frequency of ApoE-ɛ4 and the occurrence of depression was found in patients undergoing hemodialysis. Further research is needed to find out if ApoE-ɛ2 acts as a protective factor in Chinese dialysis population since it might decrease the prevalence of depression and delay the onset age.

[Raman Signal Enhancement for Gas Detection Using a Near Concentric Cavity].

The detection of dissolved gases in seawater plays an important role in ocean observation and exploration. Raman spectroscopy has a great advantage in simultaneous multiple species detection and is thus regarded as a favorable choice for ocean application. However, its sensitivity remains insufficient, and a demand in enhancements is called! for before putting Raman spectroscopy to actual use in marine studies In this work, we developed a near-concentric cavity, in which laser beam could be trapped and reflected back and forth, for the purpose of intensifying Raman signals. The factors that would influence Raman signals were taken into account. The result show that the smaller angle between collection direction and optical axis of reflection mirror, the stronger the signal and signal to noise ratio (SNR) is. With a collection angle of 30 degrees, our Near-concentric Cavity System managed to raise the SNR to a figure about 16 times larger than that of common methods applying 90 degrees. Moreover, the alignment pattern in our system made it possible to excel concentric cavity with a 3 times larger SNR. Compared with the single-pass Raman signal, the signal intensity of our near-concentric cavity was up to 70 times enhanced. According to the obtained results of CO2 measurement, it can be seen that the new system provides a limit of detection(LOD) for CO2 about 0.19 mg x L(-1) using 3-σ criterion standard, and the LOD of 11.5 µg x L(-1) for CH4 was evaluated with the theoretical cross section values of CO2 and CH4.

An innovative approach for iodine supplementation using iodine-rich phytogenic food.

Iodine, as one of the essential trace elements for human body, is very important for the proper function of thyroid gland. In some regions, people are still suffering from iodine deficiency disorder (IDD). How to provide an effective and cost-efficient iodine supplementation has been a public health issue for many countries. In this review, a novel iodine supplementation approach is introduced. Different from traditional iodine salt supplement, this approach innovatively uses cultivated iodine-rich phytogenic food as the supplement. These foods are cultivated using alga-based organic iodine fertilizer. The feasibility, mechanics of iodine absorption of plants from soil and the bioavailability of iodine-rich phytogenic food are further discussed.

Effectiveness and Safety of Anlotinib Combined with PD-1 Blockades in Patients with Previously Immunotherapy Treated Advanced Non-Small Cell Lung Cancer: A Retrospective Exploratory Study.

Objective: This study aimed to investigate the effectiveness and tolerability of anlotinib plus PD-1 blockades in patients with previously immunotherapy treated advanced non-small-cell lung cancer (NSCLC). Methods: A total of 67 patients with previously immunotherapy treated advanced NSCLC who received anlotinib plus PD-1 blockades in clinical practice were screened retrospectively. All the PD-1 blockades used in this study were approved in China and consisted of sintilimab, camrelizumab, tislelizumab and pembrolizumab. Effectiveness and safety of anlotinib plus PD-1 blockades were assessed, and all patients were followed up regularly. Clinical significance between response status to previous immune-related treatment regimens and therapeutic outcomes of anlotinib plus PD-1 blockades was further explored. Results: The best overall response among the 67 patients suggested that a partial response was observed in 16 patients, stable disease was noted in 41 patients and progressive disease was found in 10 patients, which yielded an objective response rate of 23.9% (95% CI: 14.3-35.9%) and a disease control rate of 85.1% (95% CI: 74.3-92.6%). Prognostic outcomes indicated that the median progression-free survival (PFS) was 6.1 months (95% CI: 2.37-9.83) and the median overall survival (OS) was 16.5 months (95% CI: 10.73-22.27). Exploratory analysis highlighted that patients who were intolerant to previous immune-related regimens (17 patients) might have a superior prognosis (median OS: 22.3 months vs 12.5 months, P=0.024). Additionally, adverse reactions with any grades during anlotinib plus PD-1 blockades administration were observed in 62 patients (92.5%), of which 31 patients (46.3%) had ≥grade 3 adverse reactions. Most common adverse reactions were fatigue, hypertension, diarrhea and hepatotoxicity. Conclusion: Anlotinib plus PD-1 blockades demonstrated promising effectiveness and tolerable safety in patients with previously immunotherapy treated advanced NSCLC. Those who were intolerant to previous immune-related regimens might benefit significantly from treatment with anlotinib plus PD-1 blockades. This conclusion should be confirmed in future studies.

Heterozygous alleles restore male fertility to cytoplasmic male-sterile radish (Raphanus sativus L.): a case of overdominance.

The practice of hybridization has greatly contributed to the increase in crop productivity. A major component that exploits heterosis in crops is the cytoplasmic male sterility (CMS)/nucleus-controlled fertility restoration (Rf) system. Through positional cloning, it is shown that heterozygous alleles (RsRf3-1/RsRf3-2) encoding pentatricopeptide repeat (PPR) proteins are responsible for restoring fertility to cytoplasmic male-sterile radish (Raphanus sativus L.). Furthermore, it was found that heterozygous alleles (RsRf3-1/RsRf3-2) show higher expression and RNA polymerase II occupancy in the CMS cytoplasmic background compared with their homozygous alleles (RsRf3-1/RsRf3-1 or RsRf3-2/RsRf3-2). These data provide new insights into the molecular mechanism of fertility restoration to cytoplasmic male-sterile plants and illustrate a case of overdominance.

Traditional Chinese medicine Pingchan granule for motor symptoms and functions in Parkinson's disease: A multicenter, randomized, double-blind, placebo-controlled study.

BACKGROUND: Pingchan granule (PCG) is a traditional Chinese medicine for Parkinson's disease (PD). HYPOTHESIS/PURPOSE: This was the first study aiming to evaluate the efficacy and safety of PCG for motor symptoms, gait impairments and quality of life in PD. STUDY DESIGN AND METHODS: In this multicenter, randomized, double-blind, placebo-controlled trial, 292 participants were included and followed for 9 months, randomly assigned at a 1:1 ratio to receive PCG or placebo. The primary outcome was the severity of motor symptoms assessed by Movement Disorder Society Unified Parkinson's Rating Scale III (MDS-UPDRS-III) motor score. Secondary outcomes included timed up and go test (TUG), functional gait assessment (FGA), freezing of gait (FOG), and quality of life assessed by Parkinson's disease questionnaire (PDQ-39). Assessments were done at baseline (T0), 3 months (T1), 6 months (T2) and 9 months (T3). TRIAL REGISTRATION: Chinese Clinical Trial Register, ChiCTR-INR-1,701,194. RESULTS: Generalized estimating equation analyses revealed that PCG group had significantly better improvement in MDS-UPDRS-III motor score than placebo group, as well as its domain scores of axial symptoms, bradykinesia, rigidity, and tremor. Improvements of TUG time, FGA, FOG questionnaire (FOGQ), and PDQ39 scores were also observed. CONCLUSION: PCG had a long-lasting efficacy for motor symptoms and function in PD with good tolerance, supporting that PCG might be a viable alternative in the management of PD.

Computed tomography imaging features for amyloid dacryolith in the nasolacrimal excretory system: A case report.

BACKGROUND: Nasolacrimal duct obstruction leading to epiphora is a common ophthalmologic complaint, and it may derive from amyloidosis in rare cases. There are a few reports about localized amyloidosis, and amyloidosis with involvement and obstruction of the nasolacrimal duct is exceedingly rare. CASE SUMMARY: A 54-year-old male presented with a 2-year history of a lump overlying the left lacrimal sac that had grown rapidly for nearly half a year. Physical examination touched a firm lump in the left lacrimal sac. Nasal endoscopy discovered lesions in appearance of sediments with easy bleeding at the entry of the nasolacrimal duct of the left inferior nasal meatus. Computerized tomography scan revealed speckle high density in the left lacrimal sac and the dilated nasolacrimal duct. During an endoscopic exploration and excision, a large number of dacryoliths were exposed. Pathology indicated amorphous pink material and multinucleated giant cell reaction in the fibrous tissue. CONCLUSION: This case showed amyloidosis in localized form mimicking dacryolith with nasolacrimal duct obstruction. In clinical practice, we should be aware of the possibility of localized amyloidosis in the nasolacrimal excretory system.

[Evaluation of eutrophication level changes in Baiyangdian Lake based on multiple biological groups]. / 应用多种生物类群评价白洋淀水环境质量变化.

Baiyangdian Lake is the largest shallow lake in the North China Plain. Due to the increases in upstream water consumption in recent decades, the amount of natural water entering the lake has decreased, resulting in a significant drop in the water level of Baiyangdian Lake. Severe eutrophication has occurred in Baiyangdian Lake owing to the discharge of domestic sewage around the sub-lakes. With the establishment of the Xiong'an New Area in 2017, the importance of environmental governance and protection of Baiyangdian Lake has been unprecedentedly increased. The implementation of ecological water supplement from upstream reservoirs and other basins has significantly increased water level of Baiyangdian Lake. Moreover, domestic sewage from surrounding rural areas was collected. In order to understand the current state of water quality in Baiyangdian Lake, and to evaluate the effects of the previous water replenishment and pollution control projects, we investigated water physicochemical variables and aquatic organisms of Baiyangdian Lake in August 2019. We evaluated water quality status of Baiyangdian Lake based on water quality, phytoplankton, zooplankton and macrozoobenthos, by comparing with the evaluation based on the survey data in 2010. In addition, submerged macrophytes were used to evaluate the water ecological status. The results showed that the water quality state of Baiyangdian Lake in 2019 was greatly improved compared with 2010. Among them, total phosphorus concentration decreased by 88.6%, total nitrogen concentration decreased by 83.9%, chlorophyll a concentration decreased by 47.8%, and the Seechi depth increased by 43.4%. The diversity of zooplankton and macrozoobenthos were significantly increased, the density of phytoplankton was significantly reduced, the dominant species of phytoplankton changed from a general highly eutrophic type to a eutrophic type, and the distribution of the clean-type submerged macrophytes was narrowed. The evaluation methods based on submerged macrophytes species and based on zooplankton diversity were not suitable for water quality evaluation in Baiyangdian Lake. In the early stage, the pollution source of Baiyangdian Lake was concentrated in the west, which led to lower water quality. Nowadays, due to the water replenishment from the west, north and south, the hydrodynamic conditions changed significantly. In the west, pollution control projects were carried out, and the spatial distribution of water quality in Baiyangdian Lake are showing a characteristics of homogenization.

Prediction of the progression from mild cognitive impairment to Alzheimer's disease using a radiomics-integrated model.

OBJECTIVE: This study aimed to build and validate a radiomics-integrated model with whole-brain magnetic resonance imaging (MRI) to predict the progression of mild cognitive impairment (MCI) to Alzheimer's disease (AD). METHODS: 357 patients with MCI were selected from the ADNI database, which is an open-source database for AD with multicentre cooperation, of which 154 progressed to AD during the 48-month follow-up period. Subjects were divided into a training and test group. For each patient, the baseline T1WI MR images were automatically segmented into white matter, gray matter and cerebrospinal fluid (CSF), and radiomics features were extracted from each tissue. Based on the data from the training group, a radiomics signature was built using logistic regression after dimensionality reduction. The radiomics signatures, in combination with the apolipoprotein E4 (APOE4) and baseline neuropsychological scales, were used to build an integrated model using machine learning. The receiver operating characteristics (ROC) curve and data of the test group were used to evaluate the diagnostic accuracy and reliability of the model, respectively. In addition, the clinical prognostic efficacy of the model was evaluated based on the time of progression from MCI to AD. RESULTS: Stepwise logistic regression analysis showed that the APOE4, clinical dementia rating, AD assessment scale, and radiomics signature were independent predictors of MCI progression to AD. The integrated model was constructed based on independent predictors using machine learning. The ROC curve showed that the accuracy of the model in the training and the test sets was 0.814 and 0.807, with a specificity of 0.671 and 0.738, and a sensitivity of 0.822 and 0.745, respectively. In addition, the model had the most significant diagnostic efficacy in predicting MCI progression to AD within 12 months, with an AUC of 0.814, sensitivity of 0.726, and specificity of 0.798. CONCLUSION: The integrated model based on whole-brain radiomics can accurately identify and predict the high-risk population of MCI patients who may progress to AD. Radiomics biomarkers are practical in the precursory stage of such disease.

High Prevalence of 16s rRNA Methylase Genes Among Carbapenem-Resistant Hypervirulent Klebsiella pneumoniae Isolates in a Chinese Tertiary Hospital.

Thirty-nine carbapenem-resistant hypervirulent Klebsiella pneumoniae (CR-hvKP) isolates collected from a Chinese tertiary hospital were used in the characterization of the prevalence of 16S rRNA methylase genes. In total, 66.7% (26/39) of the CR-hvKP isolates were found to carry 16S rRNA methylase genes. The most frequently detected 16S rRNA methylase gene was armA (11/26, 42.3%), followed by rmtB (8/26, 30.8%), and coexistence of both armA and rmtB (7/26, 26.9%). All the clinical isolates were found to carry at least one carbapenemase gene, with blaKPC-2 (79.5%, 31/39), blaNDM-1 (10.3%, 4/39), and cocarrying blaKPC-2 and blaNDM-1 (10.3%, 4/39). A total of 89.7% (35/39) isolates carried extended-spectrum ß-lactamase (ESBL) genes, including 61.5% (24/39) blaSHV-1, 71.8% (28/39) blaTEM-1, and 89.7% (35/39) blaCTX-M-14. All except four isolates (89.7%, 35/39) harbored quinolone resistance genes, with qnrS (82.1%, 32/39), aac(6')-Ib-cr (79.5%, 31/39), and qnrB (2.6%, 1/39). Twenty-six hvKP strains in this study were first reported to cocarry carbapenemase genes, ESBL genes, quinolone resistance genes, and 16S rRNA methylase genes simultaneously. Multilocus sequence typing (MLST) analysis assigned the 39 CR-hvKP isolates into 4 sequence types (STs), with ST11 encompassing 79.5% of the strains. Pulsed field gel electrophoresis (PFGE) typing showed that strains closely related by MLST clustered in major PFGE clusters, of which cluster A accounts for 31 ST11 isolates. Cumulatively, 16S rRNA methylase genes are highly prevalent in CR-hvKP clinical isolates especially for ST11; it is, therefore, critical to continuously monitor the epidemiology of these 16S rRNA methylase-producing CR-hvKP while simultaneously minimizing potential risks from aminoglycoside-resistant CR-hvKP.