Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of ZnS shell on stability, cytotoxicity, and photocytotoxicity of water-soluble CdSe semiconductor quantum dots surface modified with glutathione

Biomedical applications of quantum dots (QDs) have become a subject of a considerable concern in the past few decades. The present study examines the stability and cytotoxicity of two QDs systems in cell culture medium in the presence and absence of a thin layer of ZnS shell. The two systems were built from core, CdSe QDs, surface modified with glutathione (GSH), named CdSe∼GSH and CdSe/ZnS∼GSH. Our results demonstrated that 0.7 nm layer of ZnS shell played a significant role in the stability of CdSe/ZnS~GSH QDs in supplemented cell culture medium (RPMI). Also, a significant improvement in the physicochemical properties of the core CdSe QDs was shown by maintaining their spectroscopic characteristics in RPMI medium due to the wide band gap of ZnS shell. Both systems showed insignificant reduction in cell viability of HFB-4 or MCF-7 cell lines in the dark which was attributed to the effective GSH coating. Following photoirradiation with low laser power (irradiance 10 mW cm-2), CdSe~GSH QDs showed a significant decrease in cell viability after 60 min irradiation which may result from detachment of GSH molecules. Under the same irradiation condition, CdSe/ZnS~GSH QDs showed insignificant decrease in cell viability or after 2 h incubation from laser irradiation which was attributed to the strong binding between ZnS and GSH coatings. It can be concluded that the stability of CdSe core QDs was significantly improved in cell culture medium by encapsulation with a thin layer of ZnS shell whereas their cytotoxicity and photo-cytotoxicity are highly dependent on surface modification.
Categorical Data Analysis Using The SAS1 System

Preface to the Second Edition Acknowledgments Chapter 1. Introduction Chapter 2. The 2 x 2 Table Chapter 3. Sets of 2 x 2 Tables Chapter 4. Sets of 2 x r and s x 2 Tables Chapter 5. The s x r Table Chapter 6. Sets of s x r Tables Chapter 7. Nonparametric Methods Chapter 8. Logistic Regression I: Dichotomous Response Chapter 9. Logistic Regression II: Polytomous Response Chapter 10. Conditional Logistic Regression Chapter 11. Quantal Bioassay Analysis Chapter 12. Poisson Regression Chapter 13. Weighted Least Squares Chapter 14. Modeling Repeated Measurements Data with WLS Chapter 15. Generalized Estimating Equations Chapter 16. Loglinear Models Chapter 17. Categorized Time - to - Event Data References Index.
The manipulation of micron-sized metal particles by pulse laser

In Selective Laser Micro Sintering the powder particles should be assembled or arranged and sintered together. Optical tweezers make used of optical refractive force to manipulate micro objects. Currently the manipulated objects are limited to nano or several micro meters scale. In this paper we develop a novel optical tweezers which employs pulse laser force to drive bigger particles and assemble them. This pulse laser is controlled to form spiral trap which can grasp big particles. In our experiment the 50μm- 100μm-diameter metal particles were moved on a solid surfaces in a process we call 'laser spiral driving force'. Nearly any shape particle, including sphere and non-regular shape, can be moved on the surfaces.
A geometrical model for the description of the AlN shell morphology in GaN-AlN core-shell nanowires

A geometrical model based on the one formulated by Foxon et al. [J. Cryst. Growth 311, 3423 (2009)] is developed to describe the morphology of AlN shells in GaN-AlN core-shell nanowires grown by plasma-assisted molecular beam epitaxy. The shell aspect ratio is studied as a function of the atomic beam flux incidence angles and of the ratio between Al and N species. The comparison between experimental data and the developed geometrical model suggests the diffusion of about 55% of Al atoms from the side walls to the top surface.
Thrombolysis in Stroke Mimics: Comprehensive Stroke Centers vs Telestroke Sites

ABSTRACT: Background: Hyperacute treatment of acute stroke may lead to thrombolysis in stroke mimics (SM). Our aim was to determine the frequency of thrombolysis in SM in primary stroke centers (PSC) dependent on telestroke versus comprehensive stroke centers (CSC). Method: Retrospective review of prospectively collected data from the Quality improvement and Clinical Research (QuICR) registry, the Discharge Abstract Database (DAD), and The National Ambulatory Care Reporting System (NACRS) of consecutive patients treated with intravenous thrombolysis for acute ischemic stroke in Alberta (Canada) from April 2016 to March 2021. Result: A total of 2471 patients who received thrombolysis were included. Linking the QuICR registry to DAD 169 (6.83%) patients were identified as SM; however, on our review of the records, only 112 (4.53%) were actual SM. SMs were younger with a mean age of 61.66 (±16.15) vs 71.08 (±14.55) in stroke. National Institute of Health Stroke Scale was higher in stroke with a median (IQR) of 10 (5–17) vs 7 (5–10) in SM. Only one patient (0.89 %) in SM groups had a small parenchymal hemorrhage versus 155 (6.57%) stroke patients had a parenchymal hemorrhage. There was no death among patients of thrombolysed SM during hospitalization versus 276 (11.69%) in stroke. There was no significant difference in the rate of SM among thrombolysed patients between PSC 27 (5.36%) versus CSC 85 (4.3%) (P = 0.312). The most responsible diagnosis of SM was migraine/migraine equivalent, functional disorder, seizure, and delirium. Conclusion: The diagnosis of SM may not always be correct when the information is extracted from databases. The rate of thrombolysis in SM via telestroke is similar to treatment in person at CSC.
Quasi distributed hybrid Brillouin fiber laser sensor system

A hybrid quasi distributed sensing system combining point fiber Bragg gratings and long integral Brillouin scattering transducers is presented. It is able to measure global temperature changes along the sensing line as well as punctual changes at the critical locations of the structure. A 20 km proof-of-concept system has been experimentally demonstrated with a temperature resolution of 0.47 °C.
Interventricular Septum Thickness for the Prediction of Coronary Heart Disease and Myocardial Infarction in Hypertension Population: A Prospective Study

The aim of the present study was to evaluate the prognostic value of interventricular septum thickness (IVSd) on the incidence of cardiovascular diseases. Based on the general population in Northeast China, 10,349 participants were successfully followed up for echocardiography over a median follow-up time of 4.66 years, among which 4801 were hypertensive. Coronary heart disease (CHD) and myocardial infarction (MI) incidence were followed up. Cox proportional hazards models were used to estimate the association of the baseline IVSd with adverse outcomes. IVS hypertrophy increased incident rates of CHD and MI compared with normal IVSd in the overall population and in the female sex-stratification group. In males, IVS hypertrophy had parallel increase rates of CHD (all p < 0.05). Kaplan–Meier analysis showed that IVS hypertrophy could predict CHD and MI incidence and CHD-free and MI-free survival. Multivariable Cox analysis revealed that IVS hypertrophy was correlated with CHD incidence (HR = 1.155, 95% CI = 1.155–2.861, p = 0.01) and MI incidence (HR = 2.410, 95% CI = 1.303–4.458, p = 0.005). In women, IVS hypertrophy was independently associated with CHD and MI incidence (all p < 0.05). Our prospective cohort study illustrated that IVS hypertrophy detected by echocardiography has a prognostic significance for CHD and MI. Therefore, the early detection of IVSd should be conducted to avoid adverse outcomes in further clinical practice.
GREGÓRIO LOPES painting workshop: characterization by X-ray based techniques. Analysis by EDXRF, μ-XRD and SEM-EDS

Gregório Lopes is one of the most famous Portuguese painters of the 15th–16th centuries. This work is a contribution to the study of his painting technique, specifically addressing the methodology used in the preparation of ground layers, which has never been carried out previously with this multianalytical method. For this purpose characterization of the ground layers of a selection of his paintings was carried out by micro-Energy Dispersive X-ray Fluorescence spectroscopy (μ-EDXRF), micro-X-ray Diffraction (μ-XRD), Scanning Electron Microscopy - Energy Dispersive Spectroscopy (SEM-EDS) and complemented by micro-Raman spectroscopy. This work presents the results obtained on two altarpieces (c.1544) produced at the same period by this Portuguese artist. Ground layers are composed mainly of calcium sulfate — anhydrite and gypsum — and other compounds such as dolomite. Reference samples were prepared to obtain diffraction pattern of different percentage of gypsum and anhydrite and compared with the results from historical samples.
Fast and accurate 3D topography measurement based on a novel synthesis pattern method

Prompt and accurate measurement of the three-dimensional (3D) contours of complex surfaces is currently a key research direction. In the current study, we presented a fast grayscale stripe synthesis method based on focused binary patterns. Specifically, by encoding a group of binary patterns, the patterns were captured by the camera within one exposure time cycle and synthesized into a grayscale-intensity triangular wave stripe pattern. Importantly, this method utilized the fast projection rate of the binary pattern, improved the speed of stripe projection, and prevented nonlinearity in the 3D measurement of stripe projection by synthesizing the gray pattern in the form of a binary pattern.
ORGANIZING SMART CITY DATA BASED ON 3D POINT CLOUD IN UNSTRUCTURED DATABASE – AN OVERVIEW

Abstract. The concept of the 3D smart city is an integration of smart cities and information technology. One of the data sources of a smart city is point cloud data that are produced from various data acquisition tools such as LiDAR, Terrestrial Laser Scanning, and Unmanned Aerial Vehicle. Due to the large size of point cloud data input, traditional databases could not handle the data efficiently. Alternatively, unstructured databases have become an option. Furthermore, data for smart city applications are considered being complex and large. Storing data in the unstructured database can easily be retrieved from various front ends such as web and mobile devices. However, unstructured databases do not have fixed schema and data types that often limit the uses of 3D point cloud data in relational databases. There are four categories of the data model in the unstructured database: document store, key-value, column store, and graph store. Each of the categories has different characteristics and approaches to handling data. Thus, this paper aims to summarise an overview of each category and determine the most suitable data organisation and environment for a 3D point cloud of a smart city. The overview will aid the developer or user select and comparing available data models in the unstructured database to handle 3D point clouds.
Concurrently wireless sensor network using microcontroller for home monitoring against fire

This paper proposes a prototype fire monitoring system with Wireless Sensor Network (WSN) in order to detect fires in several places at once and facilitate the placement of the detection. WSN is a technology where several sensors work together to establish communication over a wireless network. This prototype fire monitoring system can be monitored through the website in real time and the detection data is stored on the cloud server. This prototype fire monitoring system uses 4 sensor nodes, each of which is placed in several places to detect fires and sends the detection results to the master node. The master node receives and processes the data sent by the sensor node to generate 16 different conditions concurrently, in the event of a fire it will send a telegram message and the condition data to the cloud server. Several attempts to send data from the sensor node to the master node were completely successful and sending data from the master node to the cloud server as well as sending notification messages have been sent properly.
A new method to account for the difference between classical and quantum baths in quantum dissipative dynamics

We investigate the difference between a quantum and classical bath within the Caldeira–Leggett model for dissipative quantum dynamics. It is well known that a Markovian equation of motion for the reduced dynamics can be derived by taking the classical approximation of the harmonic bath correlation function. However, such approximation is only valid at high temperatures, and it is necessary to include the non-Markovian effect of the quantum bath in more general cases. We show that the equation of motion derived for the classical bath can be extended to the exact quantum one, by simply adding a real stochastic process to take account of the difference between the quantum and classical bath correlation functions. Numerical examples in calculating electron and excitation energy transfer dynamics, as well as absorption spectra of molecular aggregates indicate that the proposed method is a valid approach to extend the existing theories to include the quantum effect of the harmonic bath. The possibility of applying a similar idea to account for the difference between zero and high temperature quantum dissipative dynamics is discussed.
On a Solvable Diffusion with Time Dependent “Killing”

Abstract In this paper we consider a diffusion process with arbitrary time dependent diffusion coefficient and no drift, on which a quadratic time dependent killing rate operates. We determine the corresponding Kac's semigroup (KS) and the distribution function of the lifetime of the particle. A criteria is given to characterize the survival probability. The Holder exponent and the tightness properties of the process are determined. Applications include the determination of the law of certain functionals and Ito processes associated with the diffusion and the construction of martingales adapted to Brownian filtrations.
Multi-omics analyses reveal that the gut microbiome and its metabolites promote milk fat synthesis in Zhongdian yak cows

Background Yak cows produce higher quality milk with higher concentrations of milk fat than dairy cows. Recently, studies have found the yak milk yield and milk fat percentage have decreased significantly over the past decade, highlighting the urgency for yak milk improvement. Therefore, we aimed to analyze how the gut microbiome impacts milk fat synthesis in Zhongdian yak cows. Methods We collected milk samples from Zhongdian yak cows and analyzed the milk fat percentage, selecting five Zhongdian yak cows with a very high milk fat percentage (>7%, 8.70 ± 1.89%, H group) and five Zhongdian yak cows with a very low milk fat percentage (<5%, 4.12 ± 0.43%, L group), and then obtained gut samples of these ten Zhongdian yak cows through rectal palpation. Gut metagenomics, metabolomics, and conjoint metagenomics and metabolomics analyses were performed on these samples, identifying taxonomic changes, functional changes, and changes in gut microbes-metabolite interactions within the milk fat synthesis-associated Zhongdian yak cows gut microbiome, to identify potential regulatory mechanisms of milk fat at the gut microbiome level in Zhongdian yak cows. Results The metagenomics analysis revealed Firmicutes and Proteobacteria were significantly more abundant in the gut of the high-milk fat Zhongdian yak cows. These bacteria are involved in the biosynthesis of unsaturated fatty acids and amino acids, leading to greater efficiency in converting energy to milk fat. The metabolomics analysis showed that the elevated gut metabolites in high milk fat percentage Zhongdian yak cows were mainly enriched in lipid and amino acid metabolism. Using a combined metagenomic and metabolomics analysis, positive correlations between Firmicutes (Desulfocucumis, Anaerotignum, Dolosiccus) and myristic acid, and Proteobacteria (Catenovulum, Comamonas, Rubrivivax, Marivita, Succinimouas) and choline were found in the gut of Zhongdian yak cows. These interactions may be the main contributors to methanogen inhibition, producing less methane leading to higher-efficient milk fat production. Conclusions A study of the gut microbe, gut metabolites, and milk fat percentage of Zhongdian yak cows revealed that the variations in milk fat percentage between yak cows may be caused by the gut microbes and their metabolites, especially Firmicutes-myristic acid and Proteobacteria-choline interactions, which are important to milk fat synthesis. Our study provides new insights into the functional roles of the gut microbiome in producing small molecule metabolites and contributing to milk performance traits in yak cows.
First Record of Clonostachys rosea (Ascomycota: Hypocreales) Entomopathogenic Fungus in the Mango Hopper Amritodus atkinsoni (Hemiptera: Cicadellidae)

Mango hopper (Amritodus atkinsoni Lethierry) causes devastations in the early vegetative stage of the mango crop. The classical management of mango hopper is with systemic insecticides but their overuse has caused environmental pollution. Here, we have evaluated the entomopathogenic role of Clonostachys rosea through bioassay and optimized media for its large-scale culturing. The current study reveals the potentiality of C. rosea as entomopathogenic on A. atkinsoni. Initially, morphological and molecular characterization was used to validate local isolates’ identity as C. rosea. Further, we have evaluated the entomopathogenic role of C. rosea through a bioassay, where the highest mean mortality in A. atkinsoni was observed at a treatment concentration of 3 × 108 conidia/mL, with 96.67% mortality after 168 h of infection. This work also provides insight into the laboratory-based media standardization for C. rosea, resulting in oatmeal agar media and broth as the most suitable artificial media, and 20 °C temperature for its mass culture. Thus, C. rosea is a novo-entomopathogenic fungus on A. atkinsoni and has a high potency to be included in the management of mango hopper pests.
Growth Arrest of Alveolar Cells in Response to Cytokines from Spike S1-Activated Macrophages: Role of IFN-γ

Acute respiratory distress syndrome (ARDS) is characterized by severe hypoxemia and high-permeability pulmonary edema. A hallmark of the disease is the presence of lung inflammation with features of diffuse alveolar damage. The molecular pathogenetic mechanisms of COVID-19-associated ARDS (CARDS), secondary to SARS-CoV-2 infection, are still not fully understood. Here, we investigate the effects of a cytokine-enriched conditioned medium from Spike S1-activated macrophage on alveolar epithelial A549 cells in terms of cell proliferation, induction of autophagy, and expression of genes related to protein degradation. The protective effect of baricitinib, employed as an inhibitor of JAK-STAT, has been also tested. The results obtained indicate that A549 exhibits profound changes in cell morphology associated to a proliferative arrest in the G0/G1 phase. Other alterations occur, such as a blockade of protein synthesis and the activation of autophagy, along with an increase of the intracellular amino acids content, which is likely ascribable to the activation of protein degradation. These changes correlate to the induction of IFN-regulatory factor 1 (IRF-1) due to an increased secretion of IFN-γ in the conditioned medium from S1-activated macrophages. The addition of baricitinib prevents the observed effects. In conclusion, our findings suggest that the IFN-γ-IRF-1 signaling pathway may play a role in the alveolar epithelial damage observed in COVID-19-related ARDS.
UP-Down OLC: New One-Lambda Crosstalk Avoidance Code Design Based on 5-Wire Model

Crosstalk fault avoidance codings (CACs) is extensively utilized. Among promising existing CACs methods, the one which has attracted much attention due to worst-case crosstalk fault delay prevention is One-Lambda Codes (OLCs). Unfortunately, two challenging issues are coming their way: 1- Exact model is required to estimate an exact delay of wires to provide accurate OLCs. 2- OLCs codec suffers from high energy consumption and overhead caused by critical path and area occupation. In this research, an accurate probability model is introduced to overcome these problems by Accurate Crosstalk Model (ACM) prediction. If crosstalk faults show up, ACM can estimate the communication channels delay by using 5-wire delay. It can help to improve the recently proposed analytical model that suffers from a lack of accuracy. Next, we present an accurate UP-Down OLC (UD-OLC) based on the numeral system and can eliminate transition patterns, including OLC-induced patterns, completely. In comparison with the other state-of-the-art OLCs, the UD-OLC mapping algorithm effectively alleviates wires energy consumption and average latency by up to 61% and 27%. Experimental results also reveal that this an overhead efficient numeral-based method benefits from the overhead degradation in terms of dynamic power, area, and critical path by up to 52%, 45%, and 20%, respectively when we compared it to the others.
A sufficient condition for a digraph to be positive-round

In 1999, Huang (Australas. J. Combin., 19, 203–208) proved that every round digraph is locally semicomplete, and characterized the round digraph. In this paper, a generalization of the round digraph, the positive-round digraph, is introduced. We note that positive-round digraphs form subclasses of the class of locally in-semicomplete digraphs and give a sufficient condition, so that a strong locally in-semicomplete digraph is positive-round. Immediately, we obtain a characterization of strong positive-round local in-tournaments.
KEYED-POWDER GUN FOR THE OBLIQUE-IMPACT SHOCK STUDY OF SOLIDS IN SEVERAL 10 s OF GPa REGION.

Experimental equipment for the precise oblique‐impact shock study of solids in several 10 s of GPa region was developed. A powder gun with a keyed launcher (keyed‐powder gun), which is capable of accelerating projectiles of 20–40 g in weight without rotation to velocities of even greater than 2 km/s, was produced for the first time. The gun has a double‐wall structure launcher with a key whose muzzle shape resembles an old moon (basic bore diameter is 27 mm). Measurement of projectile velocities in the launcher by the reflected‐light method, including a logic trigger circuit for shock‐wave measurements, is combined with this gun. It was confirmed that the parallel‐plate impact experiment (normal type or oblique type), in which the tilt angle of parallel plates is less than 0.18° could be performed, allowing precise measurements of impact velocity and shock‐wave data by electrical and optical methods. Further, the keyed‐powder gun should find other widespread applications, e.g., for hypervelocity‐aerodynamic simulation study.
THERMAL AND ELECTRICAL CONDUCTIVITIES OF SOLIDS AT LOW TEMPERATURES

An apparatus for measuring the thermal and electrical conductivities of solids at temperatures between 2° and 300°K. is described. Results are presented of measurements of some dilute copper alloys, beryllium, bismuth, and germanium. Where possible the lattice thermal conductivity has been deduced, directly or indirectly from the measurements, and its magnitude and variation with temperature are discussed with relation to theory.
Velocity Distribution Coefficients for Grass‐Lined Channels

Relations are developed for use in estimating the momentum and energy coefficients of flow over submerged grass channel linings. The proposed relations have their basis in Prandtl’s mixing length approach to momentum transfer but are reduced by curve fitting to a form suitable for direct computer solution. The independent variables are those routinely calculated in grass-lined open channel design.