Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical outcomes, molecular epidemiology and resistance mechanisms of multidrug-resistant Pseudomonas aeruginosa isolated from bloodstream infections from Qatar

Abstract Background Bloodstream infections (BSIs) caused by multidrug-resistant (MDR)-Pseudomonas aeruginosa are associated with poor clinical outcomes, at least partly due to delayed appropriate antimicrobial therapy. The characteristics of MDR-P. aeruginosa bloodstream isolates have not been evaluated in Qatar. Our study aimed to examine in vitro susceptibility, clinical and molecular characteristics, and mechanisms of resistance of MDR-P. aeruginosa bloodstream isolates from Qatar. Materials and methods We included all MDR-P. aeruginosa isolated from blood cultures taken between October 2014 and September 2017. Blood cultures were processed using BD BACTEC™ FX automated system. BD Phoenix™ was used for identification, Liofilchem® MIC Test Strips for MIC determination. Whole-genome sequencing was performed using the Illumina-HiSeq-2000. Results Out of 362 P. aeruginosa bloodstream isolates, 16 (4.4%) were MDR. The median patient age was 55 years (range 43–81) and all patients presented with septic shock. Most patients received meropenem (12/16) and/or colistin (10/16). Clinical response was achieved in eight patients, and five patients died within 30-days. MDR-P. aeruginosa isolates belonged to 13 different sequence types. All isolates were non-susceptible to cefepime and ciprofloxacin. The most active agents were colistin (16/16) and aztreonam (10/16). Seven isolates produced blaVIM, and four possessed genes encoding extended-spectrum β-lactamases. Aminoglycoside modifying enzymes were present in 15/16, transferable qnr-mediated quinolone resistance gene was detected in 3/16, and the novel ciprofloxacin modifying enzyme CrpP-encoding gene in one isolate. Conclusion MDR-P. aeruginosa BSIs are relatively uncommon in Qatar but are highly resistant, harbour multiple resistance genes, and are commonly associated with unfavourable clinical outcomes. Colistin was the only agent with consistent activity against the study isolates. Key messages MDR-P. aeruginosa constituted <5% of P. aeruginosa blood isolates over three years. Typical risk factors for MDR infections were highly prevalent in the study population and overall clinical outcomes are consistent with those previously reported. Colistin was the only agent with consistent antibacterial activity against the study isolates.
The relationship between cognitive development, behavior indicators, and Personal, Social, and Emotional Development in Pre-school

Abstract The paper investigates the potential of a questionnaire answered by teachers about the behavior and socio-emotional skills of children enrolled in preschool – start of compulsory schooling in Brazil. Based on this instrument, it describes the development of indicators of inattention, hyperactivity-impulsivity and personal, social and emotional development. It uses multivariate linear regression models to identify factors associated with the cognitive development of children enrolled in preschool. The results suggest that more inattentive children tend to have lower cognitive attainment, especially in language. The estimated coefficients in the multivariate model suggest that the Personal, Social and Emotional Development has a moderate to high effect size for language and mathematics. Implications of the results for educational policies are presented.
DESIGN OF AWORK OPTIMAL RAKE RECEIVER AND PERFORMANCE ANALYSIS AMONG VARIOUS RECEIVERS

In wireless communication we need to give special attention to receiver design than transmitter design. Because transmitter transmits the modulated signal that is noise free. But receiver receives the signal that propagates through the air medium. Many types of noise can be added to the modulated signal. Again main signal can be interfered by other signals. Specially multipath effect make receiver design complex. This paper gives an idea of receiver design than can handle multipath effect of wireless medium. It starts with a simple correlation receiver that can't handle multipath effect. And then idea of RAKE receiver is given for resolving multipath components. And finally a special type of RAKE receiver has been proposed that makes efficient use of RAKE receiver arms.
Automated Identification of Tile Lines from Remotely Sensed Data

Although subsurface drainage provides many agronomic and environmental benefits, extensive subsurface drainage systems have important implications for surface water quality and hydrology. Due to limited information on subsurface drainage extent, it is difficult to understand the hydrology of intensively tile-drained watersheds. In order to address this problem, a methodology was developed to use image processing techniques for automated detection of tile drains from multiple dates of aerial photography at the Agronomy Center for Research and Education (ACRE), West Lafayette, Indiana. A stepwise approach was adopted to first identify potential tile-drained fields from the GIS-based analysis of land use class, soil drainage class, and surface slope using decision tree classification. Based on preliminary classification of potential tile-drained area from the decision tree classifier, a combination of image processing techniques such as directional edge enhancement filtering, density slice classification, Hough transformation, and automatic vectorization were used to identify individual tile lines from images of 1976, 1998, and 2002. Accuracy assessment of the predicted tile line maps (Hough transformed and untransformed) was accomplished by comparing the locations of predicted tile lines with the known tile lines mapped through manual digitization from historic design diagrams using both a confusion matrix approach and drainage density. Forty-eight percent of tile lines were correctly predicted for the Hough transformed map and 58% for the untransformed map based on the producer accuracy. Similarly, 73% of non-tile area was correctly predicted for Hough transformed and 68% for untransformed lines. Based on drainage density calculation, 60% of tile lines were predicted from the aerial image of 1976 and 50% from the aerial image of 2002 for both techniques, while 72% of tile lines were predicted from the aerial image of 1998 for untransformed and 50% for Hough transformed lines. The Hough transformation provided the best results in producing a map without discontinuity between lines. The overall performance of the image processing techniques used in this study shows that these techniques can be successfully applied to identify tile lines from aerial photographs over a large area.
FOOD AND MEDICINAL VALUES IN "SILKWORM" AND ITS HOST PLANT "MULBERRY"-EXPLORING NEW HORIZONS

Mulberry is the sole source of food material for silkworm, Bombyx mori L. In nature, there are innumerable plants that have one or the other medicinal values, beneficial to mankind. As health becomes a great concern of people now a day, many natural ways to take care of one‟s health are gaining momentum. One of these is having food and beverages made of herbs, and it has been scientifically proved that their values are either equal or better than those made chemically, but have no side effects to our health. In recent years, mulberry green (herbal) tea in the brand name of “Ranowghana” is fast becoming popular in Japan and Thailand as it is believed to prevent high blood pressure and diabetes besides it reduces muscle cramp and body pain, reduces the risk of cancer , increases natural activity of body organs and reduces body weight. In China, providing mulberry leaf juice is the most common hospitality in the villages for a visitor. Mulberry fruit is well known as esteemed dessert fruit. In Greece, it is fermented to derive intoxicating beverage. Mulberry fruit is having high source of vitamin C which is commonly used for the preparation of special wine and beer in most of the cold countries. Ripe mulberry fruit can be made use in the preparation of tasty jelly or syrup. Morus nigra Linn or black mulberry is now in the headlines for its omnipotent medicinal properties which may even cure the AIDS. Like mulberry silk worm cocoon pelade, the inner and unreelable layer of cocoon, is being used as a valuable source of nutritious food in china and Japan. It is reported that it is easily digestible and assimilable with the properties of reducing cholesterol, blood sugar level and provides additional energy. This could be used for extraction of free amino acid, which can be utilized in the pharmaceutical, food and fodder industries as cheap source of raw material. In Japan, it is commonly called as „Shinki fibroin‟ which is hydrolyzed from the waste silk fibre by enzymes treatment and refined chemically for use in preparation of food items and is consumed with milk or coffee, as it is proteinaeous in nature and effective in overall development of human body. Recently, reports have been published on the wide ranges of biomedical applications such as matrix of wounds dressing and drug delivery system of silk protein. The Chitin from silkworm has got the ability to absorb arsenic from portable water. Silkworm also used as a “bioreactor”for production of low cost vaccine against infectious diseases of human beings. Secretio Peptidase, an enzyme converted from silk gland protein can be used as medicine for curing various diseases. Silkworm larval dry powder can also be used for control of diabetes.
Automatic frequency Control Current-Source Inverter for Forging Application

The paper describes an automatic frequency control current-fed inverter for forging applications. The IGBT in series with diodes as its switching devices in the inverter circuit which is of full-bridge type. The operating frequency is automatically tracked to maintain a small constant leading phase angle when load parameters change. The load voltage is controlled to protect the switches. The output power can be adjusted by varying the input current from phase controlled rectifiers which is a part of current source. The system has been operated at 15-17 kHz. The output power transferred to the load is 1,595 watts. It can heat the steel work pieces with 15 mm diameter and 120 mm long from room temperature to approximately 1100 o C within 20 seconds with 0.97 leading power factor on the input side.
FDTD analysis of submillimeter-wave CPW with finite-width ground metallization

The dispersion and attenuation characteristics of conductor-backed coplanar transmission lines with finite-width ground metallizations are studied in the frequency range up to 1 THz. The finite-difference time-domain (FDTD) method is used for analysis. Open boundaries are described by means of Berenger's perfectly matched layer. The results are compared to electrooptic measurements. They show that introducing ground metallizations of finite width causes distinct changes in attenuation and dispersion characteristics.
Win-Win Growth of Large Companies and Small- and Medium-sized Firms (LCSMF) Through Platform Strategy Focused on Cases of Samsung Electronics and CJ Jeiljedang

This study presents specific measures for a platform strategy for LCSMF win-win growth. To this end, literature was examined to derive the platform strategy process, and cases of Samsung Electronics and CJ Jeiljedang were analyzed. The analysis revealed that while platform opening time varied according to industrial characteristics, it was important to construct open platforms based on trust, and that the constructed platform created new values when it was maintained and managed through participants' positive exchange and competition. This suggests that a platform strategy enables win- win growth.
The status of BEMS

The various levels of control in a building energy management system (BEMS), and the history of such systems' development, are outlined. It is shown that, besides controlling plant items, BEMS go some way towards meeting resource management requirements and also towards the intermediate goal of global optimisation, though this is achieved mainly at the stage of initial system design. There remains scope at the global optimisation level for the enhancement of the functionality of the central computer, and it is suggested that this can be achieved by the use of expert systems. >
The Performance Assessment Strategy in DC-BTA Multiple Sequence Alignment

A brand new performance assessment model is proposed for multiple sequence alignment. The new strategy is based on beam constructing of DC-BTA algorithm, which is a Divide-and-Conquer alignment method with beams. Beams form blocks of almost the identical columns and contribute biggest similarity weight to sequences. A formula to compute all beam areas covering a sequence assigns a value or weight to the sequence. And the total beam area is a partial to the whole alignment. A rate value between 0 and 1 is computed to assess the performance. This scheme is a simple and effective assessment policy in DC-BTA for the convenience of collecting the beam areas.
The channel capacity of multilevel linguistic features constrains speech comprehension

Humans are expert at processing speech but how this feat is accomplished remains a major question in cognitive neuroscience. Capitalizing on the concept of channel capacity, we developed a unified measurement framework to investigate the respective influence of seven acoustic and linguistic features on speech comprehension, encompassing acoustic, sub-lexical, lexical and supra-lexical levels of description. We show that comprehension is independently impacted by all these features, but at varying degrees and with a clear dominance of the syllabic rate. Comparing comprehension of French words and sentences further reveals that when supra-lexical contextual information is present, the impact of all other features is dramatically reduced. Finally, we estimated the channel capacity associated with each linguistic feature and compared them with their generic distribution in natural speech. Our data point towards supra-lexical contextual information as the feature limiting the flow of natural speech. Overall, this study reveals how multilevel linguistic features constrain speech comprehension.
The clinical advances of proteolysis targeting chimeras in oncology

Proteolysis targeting chimeras (PROTACs) are a class of small molecules designed to target proteins for degradation. Their novel and unique modes of action provide PROTACs with the potential for their application in the management of both solid and hematologic malignancies. Since its initial discovery, the technology of targeted protein degradation, especially in the form of PROTACs, has had significant advances. A number of PROTACs have entered a late stage of preclinical development. Several of them are either in phase 1/2 clinical trials or approaching approval for initial clinical evaluation. This article discusses the preclinical and clinical findings of PROTACs of clinically relevant protein targets in cancer.
Nonlinear Model Predictive Control for Automatic Train Operation with Actuator Saturation and Speed Limit

This paper addresses a position and speed tracking problem for high-speed train automatic operation with actuator saturation and speed limit. A nonlinear model predictive control (NMPC) approach, which allows the explicit consideration of state and input constraints when formulating the problem and is shown to guarantee the stability of the closed-loop system by choosing a proper terminal cost and terminal constraints set, is proposed. In NMPC, a cost function penalizing both the train position and speed tracking error and the changes of tracking/braking forces will be minimized on-line. The effectiveness of the proposed approach is verified by numerical simulations.
Architecture of a time‐sensitive provisioning system for cloud‐native software

Application development paradigms and composition of technology services are decisively moving in the direction of hybrid and multi clouds. Enterprises are stitching new cloud‐native business models that leverage containerized multi‐tier microservice architecture, heterogeneity of cloud deployment models, and diversity of cloud providers. Scalability and resiliency are key components of this new world architecture, but these are also functions of the predictability of provisioning the underpinning compute instances on cloud. Thus, a major challenge to surmount before complex multicloud aware applications can be designed is the problem of unpredictable latencies associated with the provisioning of compute services on cloud. In the first part of this article, we develop a technique for time‐sensitive provisioning of virtual compute on demand, while also allowing deprovisioning on demand. Using the technique we propose, a cloud broker will be able to operate on a pool of reserved instances sourced from cloud providers and multiplex them profitably across cloud customers with associated provisioning time guarantees, but without usage commitment restrictions. We articulate this challenge in the form of the Reserved Instance Allocation Problem (RIAP), which we first prove to be NP‐hard. We then design a heuristic‐based method to solve the intractable RIAP in polynomial time. We evaluate the effectiveness of our heuristic‐based mechanism through a combination of deep simulations and practical validation on mainstream public clouds. We demonstrate that our algorithm consistently yields a high profit‐to‐investment ratio for a broker who seeks to operate a commerce of virtual machines with time‐sensitive provisioning. In the second part of this article, we tackle the problem of unpredictable provisioning latencies in bare metal commerce. We build and evaluate an allocation model to calculate optimal supporting bare metal inventory to maximize cost‐sensitive fulfillment of bare metal provisioning requests in a time‐sensitive manner.
LICALITY—Likelihood and Criticality: Vulnerability Risk Prioritization Through Logical Reasoning and Deep Learning

Security and risk assessment aims to prioritize detected vulnerabilities for remediation in a computer networking system. The widely used expert-based risk prioritization approach, e.g., Common Vulnerability Scoring System (CVSS), cannot realistically associate vulnerabilities to the likelihood of exploitation. The CVSS metrics are calculated from static formulas, and cannot easily integrate attackers’ motivations and capabilities w.r. t. the network environmental factors. To address this issue, this paper proposes LICALITY, a vulnerability risk prioritization system. LICALITY captures the attacker’s preference on exploiting vulnerabilities through a threat modeling method, and learns threat attributes that contribute to the exploitation of vulnerability. LICALITY creatively uses a neuro-symbolic model, with neural network (NN) and probabilistic logic programming (PLP) techniques, to learn such threat attributes. The risk of vulnerability is assessed from the criticality of exploitation and the likelihood of exploitation. LICALITY consolidates these two measurements by using a logic reasoning engine. In the evaluation, the historical threat and future threat are from real attack scenarios. The results reveal that LICALITY reduces the vulnerability remediation work of the future threat required by the CVSS by a factor of 2.89 in the first case study and by a factor of 1.85 in the second case study. Such future threats are identified as the top routinely exploited vulnerabilities and the APT attack chained vulnerabilities reported in the Cybersecurity and Infrastructure Security Agency (CISA) alerts.
A miniature Fabry-Perot interferometer with a corrugated silicon diaphragm support

The techniques of silicon micromachining are used to fabricate a second-generation Fabry-Perot interferometer for use in the near-infrared spectral region. The device consists of two silicon wafers with deposited, highly reflective dielectric mirrors. The wafers are bonded together with a small gap between the mirrors and sawed into individual devices. The wavelength tuning and parallelism control of the mirror elements are achieved electrostatically by varying the voltage between control electrodes. This second-generation device includes a thin, etch-stopped corrugated diaphragm as the suspension element, which allows increased travel in a device occupying only 13% of the previous die area. <<ETX>>
Analysis of the oxidative stress inhibition potentials of Artemisia annua and its bioactive compounds through in vitro and in silico studies

Oxidative stress overwhelms the antioxidant mechanisms of living systems, with active involvement in the pathogenesis of several diseases. Natives of Gangnim in the Plateau State of Nigeria may be unknowingly endowed with some protective advantages against oxidative stress for their habitual consumption of Artemisia annua tea. The antioxidant activities of A. annua extracts were determined using in vitro methods and the inhibitory potentials of twenty-nine (29) bioactive compounds of the plant against oxidative stress target proteins were assessed through molecular docking analysis. These extracts showed significantly high activities in scavenging nitric oxide, 2,2-diphenyl-1-picrylhydrazyl (DPPH) and reducing ferric (Fe3+) to ferrous (Fe2+) iron. Virtually, none of the bioactive compounds binds to the active site of the antioxidant protein targets. Rather, 72.41, 93.10 and 75.86% of these compounds bind with high binding affinity to the activator binding sites of superoxide dismutase (SOD), glutathione peroxidase (GSH-Px) and catalase (CAT) respectively. 7,8-dimethylalloxazine (-8.10 kcal/mol) ranked highest as a prospective inhibitor of xanthine oxidase (XOX). The antioxidant activity exhibited by the extracts of the locally cultivated A. annua and the molecular interactions of its bioactive compounds against the protein targets used predict that oxidative stress inhibition could be effectively achieved with these phytochemicals.
Pattern synthesis of array antennas with arbitrary elements by simulated annealing and adaptive array theory

A method to carry out the pattern synthesis of arbitrary array antennas is presented. This method uses the simulated annealing technique to calculate the power interferences described in the Olen–Compton method. Its application to a linear array of 16 unequally spaced nonidentical elements and to a circular arc array of 25 axial dipoles is shown in order to illustrate its efficiency and accuracy. ©1999 John Wiley & Sons, Inc. Microwave Opt Technol Lett 20: 48–50, 1999.
ORF8/ORF8a: a difference between SARS-CoV-2 and SARS-CoV

Recently in an editorial published as an “early view” paper in the European Respiratory Journal, Hartsell et al. [1] reported that ORF8a has a role in SARS-CoV-2 infection. In figure 1, it was stated that ORF7a, ORF8a and ORF9b locate within the mitochondria and can inhibit RIG1-MAVS (retinoic acid-inducible gene I-mitochondrial antiviral signalling protein)-dependent interferon signalling, enhance viral replication and disrupt mitochondrial function [1], although based on scientific evidence, SARS-CoV-2 lacks ORF8a [2–4]. ORF8 as an accessory protein of SARS-CoV-2 https://bit.ly/3Gr3OTK