Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthetic Analogs of Antimicrobial Peptides from Limulus Inhibit the Growth of Listeria monocytogenes by Increasing Cell Membrane Permeability and Suppressing Virulence Genes

Listeria monocytogenes is a foodborne pathogen that can cause listeriosis in humans and animals. It is of signifcant concern to the food industry as it can grow at low temperatures. Aggravatingly, only some of the commonly used food preservatives can efectively inhibit the growth of LM. In this study, the efectiveness of synthetic analogs of antimicrobial peptides from Limulus in inhibiting the growth of LM was studied. As determined by the Kirby–Bauer disc difusion method, the diameters of the inhibition zones produced by the synthetic antimicrobial peptides ranged from 8.24mm to 8.86mm, and the minimum inhibitory concentrations (MICs) of the peptides ranged from 40 μ g/mL to 160 μ g/mL. At their MICs, initially, the synthetic antimicrobial peptides exhibited bacteriostatic efects on LM. Tey permeabilized the cell membrane of the bacterium and suppressed virulence genes (the inlA , prfA , and hly genes) in the bacterium. However, the bacteriostatic efects were efective only for 1h, after which the bacterium slowly became resistant to them. After 6 h, the bacterium resumed its growth. Although cells in treatment groups resumed their growth after 6h, the growth of the cells was inhibited compared to the growth of cells in the control group. Further studies are necessary to reduce the resistance of LM to the antibacterial efects of the synthetic antimicrobial peptides.
Recent Developments in Electrochemical Sensors for the Detection of Antibiotic-Resistant Bacteria

The development of efficient point-of-care (POC) diagnostic tools for detecting infectious diseases caused by destructive pathogens plays an important role in clinical and environmental monitoring. Nevertheless, evolving complex and inconsistent antibiotic-resistant species mire their drug efficacy. In this regard, substantial effort has been expended to develop electrochemical sensors, which have gained significant interest for advancing POC testing with rapid and accurate detection of resistant bacteria at a low cost compared to conventional phenotype methods. This review concentrates on the recent developments in electrochemical sensing techniques that have been applied to assess the diverse latent antibiotic resistances of pathogenic bacteria. It deliberates the prominence of biorecognition probes and tailor-made nanomaterials used in electrochemical antibiotic susceptibility testing (AST). In addition, the bimodal functional efficacy of nanomaterials that can serve as potential transducer electrodes and the antimicrobial agent was investigated to meet the current requirements in designing sensor module development. In the final section, we discuss the challenges with contemporary AST sensor techniques and extend the key ideas to meet the demands of the next POC electrochemical sensors and antibiotic design modules in the healthcare sector.
In Quest for Policy 'Silver Bullets' towards Triggering a V-shaped Recovery

Our paper attempts to identify policy ‘silver bullets’ that ascertain a sustainable growth revival in the aftermath of the COVID-19 shock. The study focuses on India, one of the largest emerging market economies of strategic importance, globally. Using a novel business cycle dating algorithm, we identify up-cycle and down-cycle phases in India’s GDP growth rate cycle. Our paper also implements dynamic factor analysis using several high frequency indicators for tracking private investment activity in India. We ﬁnd that a boost to private investment can arrest a growth deceleration (down-cycle), via consumption and output channels. In addition, we observe that both quantum and quality of public expenditure play an important role in arresting the growth deceleration. For both these channels to work, credit oﬀtake is crucial for a bank-dominated economy such as India. Besides addressing legacy issues relating to banking NPAs, we also highlight that a timely reduction of monetary policy rate sup-ported by an accommodative liquidity stance could help smoothen the path to growth recovery.
Modified SIMON Approach towards Lightweight Cryptography Scheme for Multi Data Key Pair Combination

There are many IoT devices use by peoples to make their life easy, but there are some devices that are very important like healthcare devices which are very small in size and having very less memory and power backup. It is important to transfer data to the server with privacy, so we use encryption for that. To encrypt data in such small IoT devices we use lightweight cryptography. There are many healthcare IoT devices that uses SIMON algorithm and there is a need to optimise that algorithm to improve the execution time and memory consumption. In this paper we are introducing the new approach to optimise lightweight cryptography algorithm that is SIMON.
A Novel MQTT 5.0-Based Over-the-Air Updating Architecture Facilitating Stronger Security

Over-the-air (OTA) updating is a critical mechanism for secure internet of things (IoT) systems for remotely updating the firmware (or keys) of IoT devices. Message queue telemetry transport (MQTT) is a very popular internet of things (IoT) communication protocol globally. Therefore, MQTT also becomes popular in facilitating the OTA mechanism in many IoT platforms, such as the Amazon IoT platform. In these IoT platforms, the MQTT broker acts as the message broker and as an OTA server simultaneously; in these broker-based OTA architectures, it is quite common that an IoT application manager not only uploads the new firmware/software to the broker but also delegates his signing authority on the firmware/software to the same broker. If the broker is secure and trusted, this OTA model works well; however, it incurs lots of security concerns if the broker is not fully trusted or if it is curious. Many MQTT deployments do not own their own brokers, but rely on a third-party broker, which sometimes is a freeware program or is maintained by a curious third party. Therefore, a secure OTA process should protect privacy against these brokers. This paper designs a novel MQTT-based OTA model in which an IoT application manager can fully control the OTA process through an end-to-end (E2E) channel. We design the model using MQTT 5.0’s new features and functions. The analysis shows that the new model greatly enhances security and privacy properties while maintaining high efficiency.
Topical Tranexamic Acid Can Be Used Safely Even in High Risk Patients: Deep Vein Thrombosis Examination Using Routine Ultrasonography of 510 Patients

Background and Objectives: Previous studies regarding tranexamic acid (TXA) in total knee arthroplasty (TKA) investigated only symptomatic deep vein thrombosis (DVT), or did not include high risk patients. The incidence of DVT including both symptomatic and asymptomatic complications after applying topical TXA has not been evaluated using ultrasonography. Materials and Methods: The medical records of 510 patients who underwent primary unilateral TKA between July 2014 and December 2017 were retrospectively reviewed. Because TXA was routinely applied through the topical route, those who had a history of venous thromboembolism, myocardial infarction, or cerebral vascular occlusive disease, were not excluded. Regardless of symptom manifestation, DVT was examined at 1 week postoperatively for all patients using ultrasonography, and the postoperative transfusion rate was investigated. The study population was divided according to the use of topical TXA. After the two groups were matched based on the propensity scores, the incidence of DVT and the transfusion rate were compared between the groups. Results: Of the 510 patients, comprising 298 patients in the TXA group and 212 patients in the control group, DVT was noted in 22 (4.3%) patients. Two patients had DVT proximal to the popliteal vein. After propensity score matching (PSM), 168 patients were allocated to each group. In all, 11 patients in the TXA group and seven patients in the control group were diagnosed with DVT, which did not show a significant difference (p = 0.721). However, the two groups differ significantly in the transfusion rate (p < 0.001, 50.0% in the TXA group, 91.7% in the control group). Conclusions: The incidence of DVT, whether symptomatic or asymptomatic, was not affected by the use of topical TXA. The postoperative transfusion rate was reduced in the TXA group. Topical TXA could be applied safely even in patients who had been known to be at high risk.
Statistical Inference of Stress-Strength Reliability of Gompertz Distribution under Type II Censoring

This paper develops the problem of estimating stress-strength reliability for Gompertz lifetime distribution. First, the maximum likelihood estimation (MLE) and exact and asymptotic con ﬁ dence intervals for stress-strength reliability are obtained. Then, Bayes estimators under informative and noninformative prior distributions are obtained by using Lindley approximation, Monte Carlo integration, and MCMC. Bayesian credible intervals are constructed under these prior distributions. Also, simulation studies are used to illustrate these inference methods. Finally, a real dataset is analyzed to show the implementation of the proposed methodologies.
ARH Family of ADP-Ribose-Acceptor Hydrolases

The ARH family of ADP-ribose-acceptor hydrolases consists of three 39-kDa members (ARH1-3), with similarities in amino acid sequence. ARH1 was identified based on its ability to cleave ADP-ribosyl-arginine synthesized by cholera toxin. Mammalian ADP-ribosyltransferases (ARTCs) mimicked the toxin reaction, with ARTC1 catalyzing the synthesis of ADP-ribosyl-arginine. ADP-ribosylation of arginine was stereospecific, with β-NAD+ as substrate and, α-anomeric ADP-ribose-arginine the reaction product. ARH1 hydrolyzed α-ADP-ribose-arginine, in addition to α-NAD+ and O-acetyl-ADP-ribose. Thus, ADP-ribose attached to oxygen-containing or nitrogen-containing functional groups was a substrate. Arh1 heterozygous and knockout (KO) mice developed tumors. Arh1-KO mice showed decreased cardiac contractility and developed myocardial fibrosis. In addition to Arh1-KO mice showed increased ADP-ribosylation of tripartite motif-containing protein 72 (TRIM72), a membrane-repair protein. ARH3 cleaved ADP-ribose from ends of the poly(ADP-ribose) (PAR) chain and released the terminal ADP-ribose attached to (serine)protein. ARH3 also hydrolyzed α-NAD+ and O-acetyl-ADP-ribose. Incubation of Arh3-KO cells with H2O2 resulted in activation of poly-ADP-ribose polymerase (PARP)-1, followed by increased nuclear PAR, increased cytoplasmic PAR, leading to release of Apoptosis Inducing Factor (AIF) from mitochondria. AIF, following nuclear translocation, stimulated endonucleases, resulting in cell death by Parthanatos. Human ARH3-deficiency is autosomal recessive, rare, and characterized by neurodegeneration and early death. Arh3-KO mice developed increased brain infarction following ischemia-reperfusion injury, which was reduced by PARP inhibitors. Similarly, PARP inhibitors improved survival of Arh3-KO cells treated with H2O2. ARH2 protein did not show activity in the in vitro assays described above for ARH1 and ARH3. ARH2 has a restricted tissue distribution, with primary involvement of cardiac and skeletal muscle. Overall, the ARH family has unique functions in biological processes and different enzymatic activities.
Which Provincial Regions in China Should Give Priority to the Redevelopment of Abandoned Coal Mines? A Redevelopment Potential Evaluation Based Analysis

Abandoned mines have a double nature consisting of resources and assets, and their rational redevelopment is one of the most important practices of the recycling economy. To direct the layout of the regional abandoned mine redevelopment, this paper constructs a comprehensive assessment framework for abandoned mine redevelopment potential based on the driving force–state–response (DSR) model. It is quantitatively evaluated by three-dimensional cloud models, and the results are coupled using a four-quadrant approach. From the perspective of space control, this paper proposes classification principles of redevelopment potential and redevelopment sequence and summarizes the important policy implementations for each category. The paper studies the redevelopment potential of abandoned mines from the provincial perspective in 25 coal-producing provinces of China. The results indicate that not all areas with high resource potential are suitable for redevelopment. In the northern and western regions, the regional abandoned mines have high resource potential and strong redevelopment drivers. However, the spatial pattern of the suitability of the development conditions is not distributed in the same way as the resources. The distribution of the abandoned mine redevelopment potential reveals that the eastern and east-central regions should give priority to the construction of demonstration projects. Different driving force scenarios confirm that most provinces have no obvious driving factor preference, with a few exceptions. This evaluation model is established from a more comprehensive perspective and is a valuable aid for decision makers when arranging abandoned mine regeneration projects.
Data Filtering Method for Intelligent Vehicle Shared Autonomy Based on a Dynamic Time Warping Algorithm

Big data already covers intelligent vehicles and is driving the autonomous driving industry’s transformation. However, the large amounts of driving data generated will result in complex issues and a huge workload for the test and verification processes of an autonomous driving system. Only effective and precise data extraction and recording aimed at the challenges of low efficiency, poor quality, and a long-time limit for traditional data acquisition can substantially reduce the algorithm development cycle. Based on the premise of driver-dominated vehicle movement, the virtual decision-making of autonomous driving systems under the accompanying state was considered as a reference. Based on a dynamic time warping algorithm and forming a data filtering approach under a dynamic time window, an automatic trigger recording control model for human-vehicle difference feature data was suggested. In this method, the data dimension was minimized, and the efficiency of the data mining was improved. The experimental findings showed that the suggested model decreased recorded invalid data by 75.35% on average and saved about 2.65 TB of data storage space per hour. Compared with industrial-grade methods, it saves an average of 307 GB of storage space per hour.
Noise properties of SQUIDs made from nanobridges

For the fabrication of nanoscale SQUIDs, for example having loop diameters of order 1 µm or smaller, the conventional trilayer window-type Josephson junctions are too large. Instead, we consider the use of nanobridge junctions with dimensions of order 100 nm. The problem of hysteresis in the junctions’ current–voltage characteristic (IVC) is avoided by depositing a gold overlayer, which serves as both a thermal and electrical shunt. Noise measurement of dc SQUIDs which incorporate such Nb nanobridges as the Josephson junctions are reported. Devices having different IVCs were fabricated and characterized. The best device has a flux noise of 5 × 10−6 Φ0 Hz−1/2 at 4.2 K, and there is no significant increase in the noise level in a static magnetic field up to 2 mT. Techniques for increasing the voltage modulation depth, and hence improving the flux noise performance, are discussed.
X-ray Thomson scattering in high energy density plasmas

Accurate x-ray scattering techniques to measure the physical properties of dense plasmas have been developed for applications in high energy density physics. This class of experiments produces short-lived hot dense states of matter with electron densities in the range of solid density and higher where powerful penetrating x-ray sources have become available for probing. Experiments have employed laser-based x-ray sources that provide sufficient photon numbers in narrow bandwidth spectral lines, allowing spectrally resolved x-ray scattering measurements from these plasmas. The backscattering spectrum accesses the noncollective Compton scattering regime which provides accurate diagnostic information on the temperature, density, and ionization state. The forward scattering spectrum has been shown to measure the collective plasmon oscillations. Besides extracting the standard plasma parameters, density and temperature, forward scattering yields new observables such as a direct measure of collisions and quantum effects. Dense matter theory relates scattering spectra with the dielectric function and structure factors that determine the physical properties of matter. Applications to radiation-heated and shock-compressed matter have demonstrated accurate measurements of compression and heating with up to picosecond temporal resolution. The ongoing development of suitable x-ray sources and facilities will enable experiments in a wide range of research areas including inertial confinement fusion,more » radiation hydrodynamics, material science, or laboratory astrophysics. « less
Screw-shaped light in extended electromagnetics

Twisted light beams have recently been observed for which the energy travels in a corkscrew-shaped path, spiralling around the beam's central axis. These discoveries are expected to become important to the development of new methods in the field of communication, as well as to the invention of new tools in microbiology. In this paper is shown that conventional theory based on Maxwell's equations cannot explain the basic features of twisted light. On the other hand an extended electromagnetic theory, based on a nonzero electric field divergence in the vacuum state, appears to be reconcilable with the main behaviour of the twisted light phenomena. The solutions and the set of modes being obtained from this extended theory are applicable both to models of high and low density photon beams and to those of individual photons, all having limited extensions in space and possessing an angular momentum (spin). Thereby beam models can be developed the intensity of which forms a ring-shaped cross-section, and individual photon models can be obtained which have the features of needle radiation. However, within the limits of validity of the approximations made so far in the analysis, it is not clear whether the effective diameter of the individual photon models can be small enough to approach atomic dimensions.
The MOM Solution Combining Hybrid Domain Bases and Wire-grid Model for Scattering by Complex Targets

An e-cient basis function is described in this paper for computation of RCS of PEC wire-grid model of aircraft in the resonance domain based on the method of moment (MoM). Al- though many achievements on the wire-grid model had been obtained (1), the numerical solutions of this problem are given based on a new hybrid domain basis function and Galerkin method. The aircraft shape is approximated by a grid of thin wires, the length and the radius of this thin wires must be satisfled some special requirements. Computational results for RCS of canonical wire-grid models of targets are enclosed. The flnal results show that with this hybrid domain basis functions, good agreement with experimental data can be obtained by this technique. DOI: 10.2529/PIERS061205084945 The MoM for the wire-grid model was flrstly presented by J. H. Richmond in 1966. In (1), the RCS of a sphere and a circular plate were calculated by wire-grid model for continuous conducting surfaces using pulse bases and point matching. The reaction technique subsequently proposed in (2) was also a moment method with sinusoidal bases and Galerkin's method, where several wire-grid models of an airplane with increasing details were used to demonstrate the accuracy of the wire-grid reaction technique by comparing computational results with measured data. So, the technique of wire-grid model combined with subdomain bases was widely used in the computation of the RCS for some complex targets in the past years. This paper discusses the use of MoM based on the hybrid domain basis functions in wire-grid models, which comes from the thought of almost-entire-domain described in reference (3). The computational results obtained by this method are compared with experimental data. It is shown that a high e-ciency of calculation could be achieved by using wire-grid models to approximate continuous PEC surfaces, and the feasibility is also verifled by applying this hybrid domain basis functions to accurately model the thin wire structures' axial current. 2. FORMULATION 2.1. Wire-grid model (1{3)
Single-layer graphene based SPR biochips for tuberculosis bacillus detection

This paper is intended to demonstrate a facile and effective method to construct single layer graphene films onto the self-assembled monolayer (SAM) at Au electrodes based surface plasmon resonance (SPR) biochips integrated loop-mediated isothermal amplification (LAMP) for tuberculosis bacillus (TB) detection. It is a novel Au-SAM-graphene nanocomposites and taking advantages of the striking properties of both graphene and Au film, fundamental understanding in hybrid material manipulation and new electrochemical properties can be obtained. The sensitivity of TB detection in the LAMP-based assay for the amplification of the Insertion Sequence 6110 (IS6110) samples was determined by a single-layer graphene/Au thin film and compared with that of a conventional Au/Cr-based SPR chips. The results show that a graphene/Au SPR offers a potentially powerful assay, with a highly sensitive analysis, that may be applicable as an important tool for bio-marker detection.
Diffusion in Bimetal Vapor‐Solid Couples

The intrinsic diffusivities of individual components in several binary systems have been determined with vapor‐solid type diffusion couples. In this type of couple a high vapor‐pressure component is diffused from the vapor phase into a slab of lower vapor pressure initially containing inert markers on its surface. Diffusivities may then be calculated from marker movement and diffusion‐penetration curve data. Equations necessary for analysis of such couples are developed.The alpha brass, copper‐nickel, and silver‐gold systems were investigated. Observations of polygonization during diffusion and dimensional changes normal to the diffusion direction were also made. Porosity formation, which occurred only in the vapor‐solid silver‐gold couples, was investigated in detail and was compared to porosity formation in corresponding sandwich couples. The general use and limitations of such couples in diffusion studies are discussed.
Nonlinear Analysis of Liquid-Filled Tank

Recent developments related to the analysis and design of liquid storage tanks are surveyed. Different aspects of the problem are examined. Background for finite element formulation is also outlined. A numerical tank model which accounts for the lateral pressure loading is developed to provide an understanding of this effect on the behavior of liquid storage tanks. This lateral pressure loading is simulated via an equivalent hydrostatic approach in which the follower force effect is accounted. Results show that the tank model collapses at a critical load 20% lower than the classical prediction. It also shows that the axial stress is basically dominated by cos θ mode. Higher order modes, are significant in the hoop stress profile which is nonlinear in character. The observed “elephant-foot buckle” and the “ovalling” response of liquid storage tanks in many tank failures during earthquakes can be predicted with these nonlinear methodologies.