The structural modification and biological evaluation of tetrahydrothienopyridine derivatives as selective BChE inhibitors.

A series of tetrahydrothienopyridine derivatives have been designed, synthesized, and evaluated as selective BChE inhibitors. Compounds were analyzed via HRMS, 1H NMR, and 13C NMR. The inhibitory effects were evaluated according to the method of Ellman et al. 6n was the most potent and selective inhibitor against BChE (eeAChE IC50 = 686.4 ± 478.6 µM, eqBChE IC50 = 10.5 ± 5.0 nM, SI = 6.5*104, hBChE IC50 = 32.5 ± 6.5 nM). Cell-based assays have confirmed the low neurotoxicity of 6a and 6n and their moderate neuroprotective effects. Compounds 6a and 6n provide novel chemical entities for the treatment of Alzheimer's disease.

Measurement of Cumulative fission product yields on 235U induced by 2.8 MeV neutrons.

Off-line gamma-ray spectrometry was used to accurately measure the Cumulative fission product yields (CFPYs) of fission products in the 235U (n, f) reaction induced by 2.8 MeV neutrons. The 2.8 MeV quasi-monoenergetic neutron beam was produced by the CPNG-600 Cockcroft Walton accelerator at the China Institute of Atomic Energy （CIAE）and the gamma spectra were measured by the HPGe γ-ray Spectrometer. After fully considering and revising the sources of uncertainty, high-precision CFPYs of 4 fission products were obtained. This study has important applications in reactor design and operation and is conducive to the establishment of an evaluated nuclear database.

Analysis of the epidemiological characteristics between 2004 and 2017 and prediction of the changing pattern of other infectious diarrhea (OID) under COVID-19 in China.

The study describes epidemiological features and transmission of other infectious diarrhea (OID) before and during the epidemic of COVID-19 in China, which lays a foundation for OID prevention and control. Incidence rate and mortality data of OID containing detailed epidemiological information such as date, age and region from 2004 to 2017, and total OID case number from 2018 to 2020 were obtained from the Data Center of China's Public Health Science and the National Bureau of Statistics' statistical yearbook. The Joinpoint regression model and Z test was used to analyze, while R language and ArcGIS 10.5 for drawing. The autoregressive integrated moving average model was used to predict the influence of COVID-19 on OID. The OID incidence rate increased from 31.69/10 million in 2004 to 92.42/10 million in 2017, and the mortality rate decreased from 1.82/10,000 to 0.14/10,000. The male to female incidence ratio was 1.39:1 (P < .001). The patients' age showed a decreased trend with age (P < .001). The scattered children devoted the most OID incidence rate. The bimodal distribution of OID incidence was summer peak in northern China, 2 apparent peaks in central and eastern, and winter peak in southern. The autoregressive integrated moving average model predicted 1,406,557 in 2020, comparing the actual OID cases in 2020 to 1,062,277. Affected by the epidemic control measures of COVID-19, the number of OID cases declined by 32.4% (Absolute percentage error = 32.4%). The OID incidence rate in China continuously increased and showed a bimodal distribution in summer and winter with inconspicuous regional characteristics, gender and age susceptibility differences, and occupational differences. Meanwhile, COVID-19 significantly reduced OID incidence in 2020. The discoveries might bring a beneficial effect on OID prevention and control policies.

An IoT-Based Breeding Egg Identification and Coding System for Selection of High-Quality Breeding Geese.

The selection of breeding geese requires the recording of egg production information to correspond to the identity of the breeding geese. However, due to the special physiological characteristics of breeding geese, manual recording in practice can affect the egg-laying performance of breeding geese and can also lead to problems of missing and confusing individual breeding goose data with the number of eggs laid by the geese. For contactless recording of breeding goose identity and egg production information for high-quality breeding, this paper proposes an Internet of things (IoT)-based breeding egg identification and coding method for the selection of high-quality breeding geese. At the sensing level, we deployed a radiofrequency identification (RFID)-based sensor. Each breeding goose wore a foot ring RFID tag on its leg, and the individual information was read by foot ring RFID readers placed at the bottom of the devices. Individual information was uploaded to the cloud server for database management through structured query language (MySQL). The target detection modules were mounted on top of the devices, and the breeding geese and eggs were detected in the delivery rooms by an improved single-shot multi-box detector (SSD) target detection algorithm. The egg body limit transmission device and contactless coding device were activated only in the case of breeding eggs, and the breeding goose information was printed on the egg bodies in the form of quick response codes (QR codes), which enabled the breeding egg information to correspond with the breeding goose information. An evaluative experiment was performed using a system for the selection of high-quality breeding geese, with web cameras and a cloud monitoring platform. The breeding geese were allowed 14 days to become accustomed to the experimental environment before monitoring began. The evaluative experiment results showed that the pass rate of egg body coding reached 98.25%, the improved SSD algorithm was 8.65% more accurate and 62.6 ms faster than traditional SSD, and the accuracy rate corresponding to the individual information of the breeding geese and the surface information of the goose eggs was 97.8%. The experimental results met the requirements of accurate marking of individual information of breeding geese, which can provide technical support for the selection of high-quality breeding geese.

Effects of a short eight Tai Chi-forms for the pre-frail elderly people in senior living communities.

PURPOSE: To investigate effects of a short 8-form Tai Chi exercise on physical function, fear of falling, and depression in pre-frail elderly people living in senior communities. METHODS: This 8-week randomized controlled trial was conducted in senior living communities with qualified pre-frail elderly subjects in a Tai Chi group (TCG, n= 32) and a control group (CG, n = 33). The TCG received TC intervention: three times/week, 60 min each; while the CG did usual care only. Assessments of the 30-s chair rise test (CRT), 4.5-m walking speed (WS), fear of falling (FOF), and Geriatric Depression Scale (GDS), were all applied at baseline, end of 4th week, and end of 8th week. RESULTS: Between-group comparison at the 4th week showed significantly better outcomes in CRT (TCG: 14.56 ± 1.87; CG: 11.48 ± 2.83; P< .001) and WS (TCG: 4.28 ± 0.69; CG: 5.11 ± 1.16; P = .001) in the TCG than those in the CG, but not in FOF (TCG: 0.56 ± 0.56; CG: 0.79 ± 0.89; P = .228) and GDS (TCG: 7.91 ± 5.54; CG: 9.58 ± 6.85; P = .285). However, at the 8th week, significant differences (P< .001) were found in all four assessments: (1) CRT: TCG vs CG: 17.28 ± 2.00 vs 11.36± 2.94; (2) WS: TCG vs CG: 3.94 ± 0.59 vs 5.17 ± 1.22; (3) FOF: TCG vs CG: 0.16 ± 0.37 vs 1.00 ± 0.90; and (4) GDS: TCG vs CG: 3.84 ± 3.60 vs 9.97 ± 6.80, and the intervention effect of 8 weeks was better than at 4 weeks. For within-group comparison of the TCG, significant improvements were identified in CRT (P< .001), WS (P = .008), and FOF (P = .002); but not in GDS, P = .121 at the 4th week, and also in CRT (P< .001), WS (P< .001), FOF (P< .001), and GDS (P< .001) at the 8th week. On the other hand, there were no significant differences in the CG for pre- and post-comparison (CRT: P = .891; WS: P = .984; FOF: P = .636; GDS: P = .822). CONCLUSION: This short-form TC exercise could improve physical function (the lower limbs' strength and gait speed), fear of falling, and depression.

Aptameric molecular switch for cascade signal amplification.

BACKGROUND: High sensitivity of analysis is constantly in demand in biomedical research and clinical diagnosis. In recent years aptamer-based analytical methods have been developed for protein detection. We developed a cascade signal amplification strategy based on molecular switches and aptamers to improve protein detection. METHODS: Our cascade signal amplification strategy based on molecular switches and aptamers consisted of 2 steps, including the recognition and the triggering of a polymerase reaction. The procedure was designed to simplify the analysis by detecting trace amounts of target isothermally, in real time, and in a homogeneous solution. We applied this method to measure thrombin in human serum samples. RESULTS: This cascade signal amplification strategy exhibited a linear response in thrombin concentration from 0.3 to 10 nmol/L, with a detection limit of 1.7 × 10(-10) mol/L within 60 min. Results of the analysis of thrombin in human serum diluted 1:1 appeared to be linear, as was observed in buffer, in the tested concentration range of 0.3-10 nmol/L. CONCLUSIONS: The aptameric sensor provides promising potential for detecting and screening trace concentrations of biomarkers in complex matrices for clinical applications.

Highly sensitive chemiluminescent point mutation detection by circular strand-displacement amplification reaction.

Single nucleotide polymorphism (SNP) genotyping is attracting extensive attentions owing to its direct connections with human diseases including cancers. Here, we have developed a highly sensitive chemiluminescence biosensor based on circular strand-displacement amplification and the separation by magnetic beads reducing the background signal for point mutation detection at room temperature. This method took advantage of both the T4 DNA ligase recognizing single-base mismatch with high selectivity and the strand-displacement reaction of polymerase to perform signal amplification. The detection limit of this method was 1.3 × 10(-16)M, which showed better sensitivity than that of most of those reported detection methods of SNP. Additionally, the magnetic beads as carrier of immobility was not only to reduce the background signal, but also may have potential apply in high through-put screening of SNP detection in human genome.