Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular Cloning and Functional Characterization of a β-Glucosidase Gene to Produce Platycodin D in Platycodon grandiflorus

Platycodin D (PD) is a deglycosylated triterpene saponin with much higher pharmacological activity than glycosylated platycoside E (PE). Extensive studies in vitro showed that the transformation of platycoside E to platycodin D can be achieved using β-glucosidase extracted from several bacteria. However, whether similar enzymes in Platycodon grandiflorus could convert platycoside E to platycodin D, as well as the molecular mechanism underlying the deglycosylation process of platycodon E, remain unclear. Here, we identified a β-glucosidase in P. grandiflorus from our previous RNA-seq analysis, with a full-length cDNA of 1,488 bp encoding 495 amino acids. Bioinformatics and phylogenetic analyses showed that β-glucosidases in P. grandiflorus have high homology with other plant β-glucosidases. Subcellular localization showed that there is no subcellular preference for its encoding gene. β-glucosidase was successfully expressed as 6 × His-tagged fusion protein in Escherichia coli BL21 (DE3). Western blot analysis yielded a recombinant protein of approximately 68 kDa. In vitro enzymatic reactions determined that β-glucosidase was functional and could convert PE to PD. RT-qPCR analysis showed that the expression level of β-glucosidase was higher at night than during the day, with the highest expression level between 9:00 and 12:00 at night. Analysis of the promoter sequence showed many light-responsive cis-acting elements, suggesting that the light might regulate the gene. The results will contribute to the further study of the biosynthesis and metabolism regulation of triterpenoid saponins in P. grandiflorus.
of Birmingham Boundary layer dynamics over London, UK, as observed using Doppler lidar during REPARTEE-II

Urban boundary layers (UBLs) can be highly complex due to the heterogeneous roughness and heating of the surface, particularly at night. Due to a general lack of observations, it is not clear whether canonical models of boundary layer mixing are appropriate in modelling air quality in urban areas. This paper reports Doppler lidar observations of turbulence proﬁles in the centre of London, UK, as part of the second REPARTEE campaign in autumn 2007. Lidar-measured and aerosols are relatively rare. Here we report detailed Doppler lidar observations of central London’s UBL structure. Observations are evaluated using in situ turbulence
Plantwide Decentralized Controller Design for Hybrid Solar Thermal Power Plant

Solar Thermal Power (STP) plants are promising avenues for solar energy assisted power generation. However, they face operational challenges due to diurnal and seasonal variations in available solar radiation, and varying atmospheric conditions in terms of cloud cover, dust levels, etc. Thus, to operate an STP plant at high efficiency and to meet the electricity demand, optimization and control strategies are critical. This paper focuses on designing decentralized controllers to ensure the safe and efficient operation of a hybrid STP which was designed and commissioned a few years ago (Nayak et al., Current Science, 2015, 109, 1445–1457). The STP is hybrid as it uses two different technologies for solar power collection, namely Parabolic Trough Collector (PTC) for heating oil and a Linear Fresnel Reflector (LFR) for generating direct steam. Superheated steam, generated using heat exchangers, subsequently drives the turbine generator block to generate electricity. In the current work, we develop decentralized controllers which ensure safe operation while meeting the production target of the hybrid STP. Towards this end, key control loops in the plant are identified. Continuous transfer function models are identified for these control loops using step tests. PID controllers are then obtained for these loops based on the resulting transfer function models. Wherever relevant, the feedback action of PID controllers is supplemented by a feedforward control action that reacts to the disturbances. Override control action is also implemented to ensure safe operation. The utility of the proposed plantwide decentralized control scheme is demonstrated via simulation studies by comparing the performance of the hybrid STP under open-loop and closed-loop in presence of disturbances and significant dynamic variability in the plant operation via two case studies. Results indicate significantly superior performance of closed-loop operation across various performance metrics.
High‐gain, high‐CMRR class AB operational transconductance amplifier based on the flipped voltage follower

A novel class AB operational transconductance amplifier (OTA) topology is proposed, based on a class AB flipped voltage follower. The OTA has class AB behavior, with current boosting both for the load and the compensation capacitors. It has a high gain of (gmr0)4, obtained using a two‐stage structure with cascoded stages, and is a two‐stage Miller‐compensated amplifier employing multipath to remove the positive zero. It has close to rail‐to‐rail output swing (limited by cascoding) and very low common‐mode gain thanks to a replica technique (allowing the use of low‐power common‐mode feedback [CMFB] loops). Ninety‐two decibels of gain and 176 dB of common‐mode rejection ratio (CMRR) without CMFB are achieved using a 40‐nm complementary metal‐oxide semiconductor (CMOS) process. The OTA is used to design a low‐power sample‐and‐hold amplifier (SHA) operating at 5 MSps, a typical application for CMOS OTAs, which has been chosen to verify the proposed circuit's performance and to show that the OTA is robust in Monte Carlo simulations under process variations and mismatches in an actual application.
Innovative Approach for a Classic Target: Fragment Screening on Trypanothione Reductase Reveals New Opportunities for Drug Design

Trypanothione reductase (TR) is a key factor in the redox homeostasis of trypanosomatid parasites, critical for survival in the hostile oxidative environment generated by the host to fight infection. TR is considered an attractive target for the development of new trypanocidal agents as it is essential for parasite survival but has no close homolog in humans. However, the high efficiency and turnover of TR challenging targets since only potent inhibitors, with nanomolar IC50, can significantly affect parasite redox state and viability. To aid the design of effective compounds targeting TR, we performed a fragment-based crystal screening at the Diamond Light Source XChem facility using a library optimized for follow-up synthesis steps. The experiment, allowing for testing over 300 compounds, resulted in the identification of 12 new ligands binding five different sites. Interestingly, the screening revealed the existence of an allosteric pocket close to the NADPH binding site, named the “doorstop pocket” since ligands binding at this site interfere with TR activity by hampering the “opening movement” needed to allow cofactor binding. The second remarkable site, known as the Z-site, identified by the screening, is located within the large trypanothione cavity but corresponds to a region not yet exploited for inhibition. The fragments binding to this site are close to each other and have some remarkable features making them ideal for follow-up optimization as a piperazine moiety in three out of five fragments.
Tree-Ring Isotopic Records Suggest Seasonal Importance of Moisture Dynamics Over Glacial Valleys of the Central Himalaya

Accelerated glacier mass loss is primarily attributed to greenhouse-induced global warming. Land–climate interactions have increasingly been recognized as an important forcing at the regional-local scale, but the related effects on the Himalayan glaciers are less explored and thought to be an important factor regulating spatial heterogeneity. The aim of the present study is a multi-decadal approximation of glacier—hydroclimate interaction over the western region of the central Himalaya (WCH). Multi-species, highly coherent, tree-ring cellulose δ18O chronologies from three sites across the WCH were used to derive atmospheric humidity (Atmospheric Moisture Content: AMC) record of the last four centuries. Annual-scale AMC reconstruction implies a decreasing regional atmospheric moisture since the mid-19th century and a sharp decline in recent decades (1960s). Coherency analyses between regional AMC and glacier mass balance (GMB) indicate an abrupt phase-shift in the relationship after the 1960s within a common record of the last 273 years. To ascertain the cause of this phase-shift, annual AMC was disintegrated into seasonal-scale, utilizing ∼200 years of δ18O record of a deciduous tree species. Seasonal (winter: October–March; summer: April–September) AMC reconstructions and disaggregation results indicate higher sensitivity of regional ice-mass variability to winter moisture dynamics than summer.Winter season AMC reconstruction confirms a revival of winter westerlies-driven moisture influx in the region since the 1970 s. Meanwhile, the record for the summer season AMC indicates a gradual decline in moisture influx from the beginning of the 20th century. Interestingly, despite a prominent decline in Indian summer monsoon (ISM) precipitation after the mid-20th century, the summer season AMC—GMB relation remained stable. We hypothesize that decadal-scale greening, and consequently increased evapotranspiration and pre-monsoon precipitation might have been recycled through the summer season, to compensate for the ISM part of precipitation. However, isotope-enabled ecophysiological models and measurements would strengthen this hypothesis. In addition, high-resolution radiative forcing and long-term vegetation greening trends point towards a probable influence of valley greening on GMB. Our results indicate that attribution of ice mass to large-scale dynamics is likely to be modulated by local vegetation changes. This study contributes to the understanding of long-term hydroclimate—ice mass variability in the central Himalaya, where predictions are crucial for managing water resources and ecosystems.
Impact of Covid-19 Pandemic on the Effectiveness of Outpatient Counseling in Childhood Obesity Management

The Covid-19 pandemic drastically modified social life and lifestyle, in particular, among children and adolescents, promoting sedentary behaviors and unhealthy eating habits. The aims of this study were to assess the rate and the factors associated with outpatient drop-out in childhood obesity management, and to evaluate how the Covid-19 pandemic influenced weight status and lifestyle of children and adolescents with obesity. One hundred and forty-five children and adolescents with obesity were identified, including 80 subjects evaluated before the Covid-19 pandemic (group A) and 65 subjects in the period straddling the Covid-19 pandemic (group B). Anamnestic (family history of obesity, dietary habits, physical activity, screen time), socio-cultural (economic status, employment and schooling of parents, household composition, place of living) and clinical (weight, height, BMI, waist circumference) data were retrospectively analyzed for each subject in both groups at baseline (V0) and 12-months (V1) at in-person assessment. Glycemic and lipid profiles were assessed at V0. Drop-out rate did not differ significantly between the two groups. BMI SDS at V0 (OR=2.52; p=0.004), female sex (OR=0.41; p=0.035), and the presence of a single parent in the household (OR=5.74; p=0.033) significantly influenced drop-out in both groups. Weight loss between V0 and V1 was significantly greater among group A patients compared to group B (p=0.031). In group B, hours spent in physical activity significantly decreased from V0 to V1, being significantly lower than group A at V1; on the contrary, screen time significantly increased in the same period. The consumption of sugary drinks and snacks was significantly greater in group B than group A at V1. Our study documented that the Covid-19 pandemic, although not affecting the drop-out rate of obese children in a follow-up program, negatively influenced lifestyle and reduced the effectiveness of outpatient counseling in childhood obesity treatment.
Prophylactic Moxibustion in Preventing Postoperative Urinary Retention of Hemorrhoidectomy: A Study Protocol for a Randomized Controlled Trial

Backgrounds Postoperative urinary retention (POUR) is one of the most common complications after hemorrhoidectomy. The best treatment for POUR is prevention and should be involved in the whole perioperative period. Moxibustion has been used to treat urinary retention for thousands of years, and clinical studies have also proved its effects. We try to carry out a randomized, controlled, prospective study to observe whether prophylactic moxibustion could effectively reduce the incidence of POUR of hemorrhoidectomy in 24 h. Methods This study is a single-center, evaluator-blinded, randomized, and controlled trial. Participants who meet the inclusion and exclusion criteria in this RCT will be randomly assigned to either the treatment group (moxibustion) or the control group (tamsulosin hydrochloride) in a 1:1 ratio according to a computer-generated randomization list. Both moxibustion and tamsulosin will be used 1, 10, and 24 h after operation, respectively. The outcomes of occurrence of POUR, time to first urination, catheterization rate, urinary tract infection, length of hospitalization, and adverse effects will be recorded. Discussion The findings of the study will help to explore the preventive efficacy of prophylactic moxibustion against POUR of hemorrhoidectomy in 24 h. Trial Registration CHiCTR, CHiCTR2000039350, registered 24 October, 2020, http://www.chictr. org.cn/showproj.aspx? proj = 63204.
Weaknesses and risks of the Consumer Internet of Things

The Consumer Internet of Things (CIoT) is a term to describe everyday items connected to the internet. The number of CIoT devices is growing rapidly and with it comes a number of security problems. One way to tackle these security issues is by learning from mistakes and to be aware of the risks at hand at both production and consumer level. This report examines vulnerabilities from the years 2008-2018 in the National Vulnerability Database (NVD). With the Common Vulnerability Scoring System (CVSS) and the Common Weakness Enumeration (CWE) the following questions are answered: Which are the most common types of vulnerabilities in CIoT products, what risks do they pose and is there evidence of a connection between type of product and type of vulnerability? The study found that the most common weaknesses were CWE-119, CWE-200 CWE-20 and CWE-264. However, the vulnerabilities of type CWE-119 turned out to be highly concentrated to Apple products and do not reﬂect the overall trends. The before mentioned weaknesses pose risks to users’ conﬁ-dentiality, integrity and the availability of the software (CIA). The CWEs with the greatest risk of exploitation were CWE-264 with the highest percentage of complete impact on the CIA attributes, and CWE-119 with lower percentage of complete impact but with far more occurrences. The study found no conclusive answer whether there is a connection between products and weaknesses, but an indication of a relation between certain CWEs and the company Apple. Further intensive and recurring studies should be conducted in the ﬁeld.
Pedestrian Wind Comfort Assessment Using Computational Fluid Dynamics Simulations With Varying Number of Wind Directions

The construction of a building inevitably changes the microclimate in its vicinity. Many city authorities request comprehensive wind studies before granting a building permit, which can be obtained through Computational Fluid Dynamics (CFD) simulations. Investigating the wind conditions for 12 wind directions has previously been considered sufficient in most literature and the industry. However, the effect of changing the number of simulated wind directions is still not well understood. This article investigates the influence of the number of simulated wind directions on pedestrian wind comfort maps. A neighborhood in Niigata city, Japan, was chosen as a case study. Simulations are performed in OpenFOAM using a Reynolds-averaged Navier-Stokes model and the realizable k-ϵ turbulence model. The inlet profiles form a homogeneous atmospheric boundary layer with neutral stratified conditions and a logarithmic velocity profile. The pedestrian wind comfort maps are converging toward a final map as more wind directions are included. The area of the maps classified with the same comfort as using 64 wind directions is 79% using 4 wind directions, 92% using 8 wind directions, 96% using 16 wind directions, and 99% using 32 wind directions. A greater understanding of the influence of the number of simulated wind directions included may enable more efficient pedestrian wind comfort studies that recognize the associated uncertainties.
Impact of Mobile Game Addiction Tendency on Chinese University Students: A Hierarchical Linear Modeling Study

This study used hierarchical linear modeling (HLM) to investigate the differences in mobile game addiction tendencies among universities (i.e., double first-class universities, ordinary colleges and universities, and higher vocational colleges), and to examine the influencing factors of mobile game addiction tendency at the individual and university levels. The participants of this study were 4,024 college students who completed the Chinese Mobile Phone Game Addiction Scale, UCLA Loneliness Scale, and Positive and Negative Affect Scale. Loneliness (β = 0.052), positive emotions (β = −0.126), negative emotions (β = 0.232), and double first-class universities (γ = 0.368) significantly predicted mobile game addiction tendencies. A significant cross-level interaction between double first-class universities and other factors (i.e., positive emotions, negative emotions, and mobile game addiction) was observed. The novelty of this study is that it distinguishes the various effects of mobile phone addiction tendency at the individual and university levels.
Bank Systemic Risk-Taking and Loan Pricing

In this paper we document evidence of systemic risk taking from syndicated loan pricing. Using U.S. syndicated loan data, we ﬁnd that the borrower’s idiosyncratic risk is positively priced whereas systematic risk is negatively related to loan spreads, controlling for ﬁrm, loan and bank speciﬁc variables. We argue that the underpricing of systematic risk relative to idiosyncratic risk suggests banks’ preference for investing in systematic risk which increases interbank correlation and systemic risk of banks. We relate the incentive for systemic risk-taking to the “too-many-to-fail” guarantee. We further show that small and lowly correlated banks underprice systematic risk relative to big and more correlated banks. risk but negatively related to systematic risk. The lending rate discount for systematic exposure reveals banks’ preference for increased correlation and systemic risk. We relate this collective moral hazard to the “too-many-to-fail” guarantee in bank regulation. We show that no evidence of such systemic risk taking could be found in the loans originated by nonbank lenders in absence of bailout expectation. In line with the “too-many-to-fail” theory in Acharya and Yorulmazer (2007),
A Convolutional Neural Network Model for Detecting Sellar Floor Destruction of Pituitary Adenoma on Magnetic Resonance Imaging Scans

Objective Convolutional neural network (CNN) is designed for image classification and recognition with a multi-layer neural network. This study aimed to accurately assess sellar floor invasion (SFI) of pituitary adenoma (PA) using CNN. Methods A total of 1413 coronal and sagittal magnetic resonance images were collected from 695 patients with PAs. The enrolled images were divided into the invasive group (n = 530) and the non-invasive group (n = 883) according to the surgical observation of SFI. Before model training, 100 images were randomly selected for the external testing set. The remaining 1313 cases were randomly divided into the training and validation sets at a ratio of 80:20 for model training. Finally, the testing set was imported to evaluate the model performance. Results A CNN model with a 10-layer structure (6-layer convolution and 4-layer fully connected neural network) was constructed. After 1000 epoch of training, the model achieved high accuracy in identifying SFI (97.0 and 94.6% in the training and testing sets, respectively). The testing set presented excellent performance, with a model prediction accuracy of 96%, a sensitivity of 0.964, a specificity of 0.958, and an area under the receptor operator curve (AUC-ROC) value of 0.98. Four images in the testing set were misdiagnosed. Three images were misread with SFI (one with conchal type sphenoid sinus), and one image with a relatively intact sellar floor was not identified with SFI. Conclusion This study highlights the potential of the CNN model for the efficient assessment of PA invasion.
Seasonal Dynamics in Carbon Cycling of Marine Bacterioplankton Are Lifestyle Dependent

Although free-living (FL) and particle-attached (PA) bacteria are recognized as ecologically distinct compartments of marine microbial food-webs, few, if any, studies have determined their dynamics in abundance, function (production, respiration and substrate utilization) and taxonomy over a yearly cycle. In the Baltic Sea, abundance and production of PA bacteria (defined as the size-fraction >3.0 μm) peaked over 3 months in summer (6 months for FL bacteria), largely coinciding with blooms of Chitinophagales (Bacteroidetes). Pronounced changes in the growth efficiency (range 0.05–0.27) of FL bacteria (defined as the size-fraction <3.0 μm) indicated the magnitude of seasonal variability of ecological settings bacteria experience. Accordingly, 16S rRNA gene analyses of bacterial community composition uncovered distinct correlations between taxa, environmental variables and metabolisms, including Firmicutes associated with elevated hydrolytic enzyme activity in winter and Verrucomicrobia with utilization of algal-derived substrates during summer. Further, our results suggested a substrate-controlled succession in the PA fraction, from Bacteroidetes using polymers to Actinobacteria and Betaproteobacteria using monomers across the spring to autumn phytoplankton bloom transition. Collectively, our findings emphasize pronounced seasonal changes in both the composition of the bacterial community in the PA and FL size-fractions and their contribution to organic matter utilization and carbon cycling. This is important for interpreting microbial ecosystem function-responses to natural and human-induced environmental changes.
Hippocampal Connectivity of the Presubiculum in the Common Marmoset (Callithrix jacchus)

The marmoset (a New World monkey) has recently received much attention as an experimental animal model; however, little is known about the connectivity of limbic regions, including cortical and hippocampal memory circuits, in the marmoset. Here, we investigated the neuronal connectivity of the marmoset, especially focusing on the connectivity between the hippocampal formation and the presubiculum, using retrograde and anterograde tracers (cholera toxin-B subunit and biotin dextran amine). We demonstrated the presence of a direct projection from the CA1 pyramidal cell layer to the deep layers of the presubiculum in the marmoset, which was previously identified in the rabbit brain, but not in the rat. We also found that the cells of origin of the subiculo-presubicular projections were localized in the middle part along the superficial-to-deep axis of the pyramidal cell layer of the distal subiculum in the marmoset, which was similar to that in both rats and rabbits. Our results suggest that, compared to the rat and rabbit brains, connections between the hippocampal formation and presubiculum are highly organized and characteristic in the marmoset brain.