Miracle-dz/UniFAR-FTUs huggingface dataset:
Antibacterial activity of Streptomyces sp. Y15 against pathogenic bacteria and evaluation of culture media for antibiotic production

A notable characteristic of Streptomyces bacteria is their ability to produce secondary metabolites. The aims of this study were to identify streptomycetes that exert antibacterial activity against plant and human pathogenic bacteria, and to evaluate antibiotic production in various culture media. To identify streptomycetes that exert broad antibacterial activity using the agar-disk diffusion method, 31 isolates were screened, after which a selected isolate was cultured in nine different growth media to evaluate the production of inhibitory metabolites. Three streptomycete isolates were identified that exert inhibitory activity against at least four pathogens species. The Y15 isolate showed broad antibacterial activity on Escherichia coli, Staphylococcus epidermidis, Listeria monocytogenes, Staphylococcus aureus, Pseudomonas syringae pv. phaseolicola, Dickeya dadantii, and Pectobacterium carotovorum. The production rate of antimicrobial metabolites was maintained when Y15 was grown in culture media containing limited organic nitrogen sources. The presence of organic nitrogen compounds in the media decreased the production of antibacterial metabolites. The Y15 isolate was identified by 16S rDNA gene sequencing as member of the genus Streptomyces. We show that the composition of the fermentation medium is likely an important factor for modulating antibiotic production by streptomycetes, with impacts on the quantity and diversity of antimicrobial metabolites production.
Numeric modeling of synchronous laser pulsing and voltage pulsing field evaporation

We have recently proposed an atom probe design based on a femtosecond time-resolved pump-probe setup. This setup unlocks the limitation of voltage pulsed mode atom probe thanks to the occurrence of local photoconductive switching effect . In this paper, we have used a numerical model to simulate the field evaporation process triggered by the synchronous two pulses. The model takes into account the local photoconductive effect and the temperature rise caused by the laser application and the voltage pulse distortion due to the RC effect.
Give Inorganic Contaminants the Respect They Deserve

One of AWWA’s Inorganic Committee members likens the inorganic contaminant manganese, which he has researched for years, to the late comedian Rodney Dangerfield because, like Dangerfield's refrain, manganese “just don’t get no respect! ” And this seems to be the case for many inorganic contaminants. Yet as a class, inorganics control is among the most frequent treatment objectives for water utilities. Well-run utilities understand the influence inorganics can have on water quality. Depending on the specific contaminant, inorganics can • increase risk to human health, • cause unacceptable aesthetic issues, • adversely affect treatment processes, and • accumulate in distribution systems. Unlike some higher-profile contaminants utilities must deal with, inorganic contaminants don’t have long, unpronounceable names; they frequently occur naturally; and they have been a subject of concern in drinking water for many years. Indeed, some standards for inorganic contaminants predate the formation of the US Environmental Protection Agency (USEPA). Yet as an industry, the water sector is realizing that merely meeting either primary or secondary standards for regulated inorganic contaminants may not be sufficient to meet customer expectations. In addition, utilities must be concerned about several unregulated inorganic contaminants. Tables 1 and 2 list the 18 inorganic contaminants for which there are primary standards and 10 with secondary standards in the United States. But water quality managers also need to be familiar with the inorganic contaminants summarized in Table 3. These contaminants are either unregulated in the United States, subject to changing regulation, or inadequately regulated. In other words, the presence of these contaminants should keep water quality managers up at night. USEPA’s ongoing review of the revisions to its Lead and Copper Rule is another issue keeping the entire water industry awake. Because this review is periodically updated in various AWWA publications, it will not be discussed here. The focus of this discussion is manganese, one of the contaminants in Table 3 that is widely present and whose undesirable effects are still becoming understood. However, the other inorganics listed in Table 3 should not be ignored, and more details regarding these contaminants can be found in the October 2019 Journal AWWA column “Inorganic Contaminants Prompt Widespread Concerns. ”
Virtual Cockpit System

Firstly, the main differences between the traditional simulator and VR-based simulator are given in this paper. Then it introduces systematically about the virtual cockpit system, including its architecture, hardware and the principle of it works. Secondly, the paper discusses some key technologies of its implementation, including stereoscopic display, system synchronization, motion prediction and smooth. Finally, we draw a conclusion that in the future virtual cockpit will become a representative form used in the manned simulator's application.
A Deep Learning Approach for Tuberculosis Diagnosis from chest X-Rays: A Survey

Deep Learning has been on the rise for various applications that includes but not limited to autonomous driving, industries and medical imaging. Medical Imaging is one of the best data sources having ability to assist in diagnosis of diseases, rehabilitation as well as in treatment. The power of deep learning is that it can automatically learn from data and classify the images with good accuracy that has led to path-breaking applications. The clear view and a structured approach of applying deep learning in the health domain in order to assist in diagnosis and treatment of diseases in accurate and precise manner is the beneficial aspect of technology. The various aspects to utilize deep learning for diagnosis of Tuberculosis (TB) are important in building of appropriate Computer Aided Diagnosis (CAD) system. In this paper, a comprehensive overview of deep learning based Convolutional Neural Network (CNN) models implemented specifically on Tuberculosis (TB) diseases. The chest X-rays are the most economical and commonly used imaging technique, is the dataset considered in review. The transfer learning utilization for detection of disease is explored with classification performance analysis. The future challenges with the application of deep learning models and the new directions of research needed in this field to achieve the practical performance requirements, are discussed.
On the application of the Helmholtz–Hodge decomposition in projection methods for incompressible flows with general boundary conditions

This paper is concerned with the analysis of the Helmholtz–Hodge decomposition theorem since it plays a fundamental role in the projection methods that are adopted in the numerical solution of the Navier–Stokes equations for incompressible flows. The paper highlights the role of the orthogonal decomposition of a vector field in a bounded domain when general boundary conditions are in effect. In fact, even if Fractional Time‐Step Methods are standard procedures for de‐coupling the pressure gradient and the velocity field, many problems are encountered in performing the decoupling with higher accuracy. Since the problem of determining a unique and orthogonal decomposition requires only one boundary condition to be well posed, thus either the normal or the tangential ones, result exactly imposed at the end of the projection. Numerical errors are introduced in terms of both the pressure and the velocity but the orthogonality of decomposition guarantees that the former does not contribute to affect the accuracy of the latter. Moreover, it is shown that depending on the meaning of the vector to be decomposed, i.e. acceleration or velocity, the true orthogonal projector can be defined only when suitable boundary conditions are verified. Conversely, it is shown that when the decomposition results non‐orthogonal, the velocity accuracy suffers of other errors. The issue on the resulting accuracy order of the procedure is clearly addressed by means of several accuracy studies and a strategy for improving it is proposed. This paper follows and integrates the issues reported in Iannelli and Denaro (Int. J. Numer. Meth. Fluids 2003; 42: 399–437). Copyright © 2003 John Wiley & Sons, Ltd.
Usability Study and Heuristic Evaluation of the Applied Robotics for Installations and Base Operations (ARIBO) Driverless Vehicle Reservation Application ARIBO Mobile

Abstract : This study addresses the usability of the Applied Robotics for Installations and Base Operations (ARIBO) Autonomous Warrior Transport On-base (AWTO) rider reservation and reminder system mobile application, called ARIBO Mobile. ARIBO is an on-demand transportation system that will allow Soldiers to reserve a vehicle for a specified time and at predefined pick-up and drop-off locations throughout the medical campus at Ft Bragg, North Carolina. The mobile application allows riders to request transport reservations, modify or view existing reservations, and receive reminders for upcoming reservations. A usability assessment was conducted with 7 subject matter experts to provide a heuristic evaluation of the application, feedback on the design of the application, and an objective assessment of the tool. Direct measurements including time to complete task, number of steps to complete task, errors, and requests for assistance were recorded. The usability assessment of ARIBO Mobile provides the designers with feedback that may be used to update or change the design prior to wide distribution to the Soldiers.
Commentary on the impact of Nannipieri et al . ( 2003 ) : by

The review by Nannipieri et al. (2003) was published at the time of rapid and revolutionary development in molecular techniques based on DNA extraction from soil followed by gene sequencing. The new DNA-based approaches showed both the enormous abundance and diversity of soil microorganisms, which substantially exceeded the cell and species numbers obtained by traditional methods such as culture-based plate counts and direct microscopy. These methodological developments created urgent new challenges for soil microbiology and changed the direction of development of this complex area of science. Nannipieri et al. (2003) focused on the link between microbial diversity and soil functions (Figure 1). This link remains of intense scientific debate more than 10 years later, and, therefore, we consider that this landmark paper played and will continue to play a key role in the development of soil microbiology for at least the subsequent two decades. Various themes explored in the review prompted many individual studies (Box 1), which have been summarized further in several reviews (e.g. Botton et al., 2006; O’Donnell et al., 2007; Lombard et al., 2011; Nielsen et al., 2011; Blagodatskaya & Kuzyakov, 2013; Watzinger, 2015). Our commentary evaluates the relevance of the main assumptions of Nannipieri et al. in the context of current themes in soil microbiology. In 2003, Nannipieri and co-authors proposed the following major challenges for researchers in soil microbiology:
EFFECTS OF LAMBDA-CYHALOTHRIN IN TWO DITCH MICROCOSM SYSTEMS OF DIFFERENT TROPHIC STATUS IVO ROESSINK,*†‡ GERTIE H.P. ARTS,† J. DICK M. BELGERS,† FRED BRANSEN,‡ STEVE J. MAUND,§ and THEO

The fate and effects of the pyrethroid insecticide lambda-cyhalothrin were compared in mesotrophic (macrophytedominated) and eutrophic (phytoplankton-dominated) ditch microcosms (;0.5 m3). Lambda-cyhalothrin was applied three times at one-week intervals at concentrations of 10, 25, 50, 100, and 250 ng/L. The rate of dissipation of lambda-cyhalothrin in the water column of the two types of test systems was similar. After 1 d, only 30% of the amount applied remained in the water phase. Initial, direct effects were observed primarily on arthropod taxa. The most sensitive species was the phantom midge (Chaoborus obscuripes). Threshold levels for slight and transient direct toxic effects were similar (10 ng/L) between types of test systems. At treatment levels of 25 ng/L and higher, apparent population and community responses occurred. At treatments of 100 and 250 ng/L, the rate of recovery of the macroinvertebrate community was lower in the macrophyte-dominated systems, primarily because of a prolonged decline of the amphipod Gammarus pulex. This species occurred at high densities only in the macrophyte-dominated enclosures. Indirect effects (e.g., increase of rotifers and microcrustaceans) were more pronounced in the plankton-dominated test systems, particularly at treatment levels of 25 ng/L and higher. Keywords—Lambda-cyhalothrin Trophic status Aquatic community Microcosm
Edinburgh Research Explorer Co-infections determine patterns of mortality in a population exposed to parasite infection Co-infections determine patterns of mortality in a population exposed to parasite infection to parasite Co-infections determine patterns of mortality in a population

Many individual hosts are infected with multiple parasite species, and this may increase or decrease the pathogenicity of the infections. This phenomenon is termed heterologous reactivity and is potentially an important determinant of both patterns of morbidity and mortality and of the impact of disease control measures at the population level. Using infections with Theileria parva (a tick-borne protozoan, related to Plasmodium ) in indigenous African cattle [where it causes East Coast fever (ECF)] as a model system, we obtain the first quantitative estimate of the effects of heterologous reactivity for any parasitic disease. In individual calves, concurrent co-infection with less pathogenic species of Theileria resulted in an 89% reduction in mortality associated with T. parva infection. Across our study population, this corresponds to a net reduction in mortality due to ECF of greater than 40%. Using a mathematical model, we demonstrate that this degree of heterologous protection provides a unifying explanation for apparently disparate epidemiological patterns: variable disease-induced mortality rates, age-mortality profiles, weak correlations between the incidence of infection and disease (known as endemic stability), and poor efficacy of interventions that reduce exposure to multiple parasite species. These findings can be generalized to many other infectious diseases, including human malaria, and illustrate how co-infections can play a key role in determining population-level patterns of morbidity and mortality due to parasite infections.
Multi-Objective Optimization of Inductive Power Transfer Systems for EV Charging

E mobility is rapidly gaining popularity owing to the increasing CO2-awareness and the lower total cost of ownership of Electric Vehicles (EV). Rising market shares of EV among newly sold vehicles document the trend towards more sustainable ways of transportation. Nevertheless, further improvement is still required to remove technological barriers that currently hinder a widespread adoption. On one hand, the development of electrical energy storage systems with ever higher energy and power densities addresses the limited electrical driving range and long battery charging time of today’s EV. On the other hand, innovative charging concepts increase the acceptance of the technology among consumers and accelerate the transition from traditional to electric mobility. Unique advantages result from the contactless transmission of the battery charging energy by Inductive Power Transfer (IPT) across the air gap between a charging platform embedded in the road surface and a receiver coil on the EV. The elimination of the galvanic connection between the charging station and the vehicle simplifies the charging process and removes safety concerns related to the handling of the electrical equipment. In addition, an automatically established power transfer without the need for moving mechanical components is particularly attractive for the charging of public transportation EV. It enables the integration of the charging process with the regular vehicle operation by opportunity charging at bus stations, taxicab stands, or traffic lights along the route. Owing to the reduced dwell times for recharging at the depot, operators can lower the number of fleet vehicles and the related operating costs. Furthermore, the more frequent recharging reduces the depth of discharge of the battery. This extends the battery lifetime and allows dimensioning the EV with a smaller on-board energy storage capacity and consequently with lower initial costs. The fundamental working principles of contactless charging systems and the key challenges in their optimization are derived from the analysis of a conventional conductive EV charger in the first part of this thesis. It is shown that the design of contactless EV battery charging systems is characterized by multiple competing optimization objectives. The limited construction volume on the vehicle demands for a high power density of the on-board power electronics equipment, particularly of the transmission coils. Moreover, a high efficiency is required for the charging process to minimize energy costs and to simplify the thermal
Accelerometer Signal Process Based on Hybrid EMD

Due to the characteristics of accelerometer and widely usage,it becomes a new study of introduce MEMS accelerometer to input device.But the performance of accelerometer itself and data collection circuits are disturbed by surrounding,collected data is comprised of acceleration data and noise data.So the collected data needs to be filtered to eliminate noise.A hybrid filtering method based on EMD is proposed to enhance the accuracy of the input device.The method introduces RBF Neural Network(NN)and wavelet packet transform(WPT)technology which aims at the limitation of EMD,the S-G filter are also used to filtering.Meanwhile,we also validate the validity of the method by Allan Variance.
Health influenced by genetics: A first comprehensive analysis of breast cancer high and moderate penetrance susceptibility genes in the Tunisian population

Significant advances have been made to understand the genetic basis of breast cancer. High, moderate and low penetrance variants have been identified with inter-ethnic variability in mutation frequency and spectrum. Genome wide association studies (GWAS) are widely used to identify disease-associated SNPs. Understanding the functional impact of these risk-SNPs will help the translation of GWAS findings into clinical interventions. Here we aim to characterize the genetic patterns of high and moderate penetrance breast cancer susceptibility genes and to assess the functional impact of non-coding SNPs. We analyzed BRCA1/2, PTEN, STK11, TP53, ATM, BRIP1, CHEK2 and PALB2 genotype data obtained from 135 healthy participants genotyped using Affymetrix Genome-Wide Human SNP-Array 6.0. Haplotype analysis was performed using Haploview.V4. 2 and PHASE.V2. 1. Population structure and genetic differentiation were assessed using principal component analysis (PCA) and fixation index (FST). Functional annotation was performed using In Silico web-based tools including RegulomeDB and VARAdb. Haplotype analysis showed distinct LD patterns with high levels of recombination and haplotype blocks of moderate to small size. Our findings revealed also that the Tunisian population tends to have a mixed origin with European, South Asian and Mexican footprints. Functional annotation allowed the selection of 28 putative regulatory variants. Of special interest were BRCA1_ rs8176318 predicted to alter the binding sites of a tumor suppressor miRNA hsa-miR-149 and PALB2_ rs120963 located in tumorigenesis-associated enhancer and predicted to strongly affect the binding of P53. Significant differences in allele frequencies were observed with populations of African and European ancestries for rs8176318 and rs120963 respectively. Our findings will help to better understand the genetic basis of breast cancer by guiding upcoming genome wide studies in the Tunisian population. Putative functional SNPs may be used to develop an efficient polygenic risk score to predict breast cancer risk leading to better disease prevention and management.
UNIFYINGFOSSILSANDPHYLOGENIES FORCOMPARATIVEANALYSESOF DIVERSIFICATIONANDTRAIT EVOLUTION Inclusion of a near-complete fossil record reveals speciation-relatedmolecular evolution

Inclusion of a near-complete fossil record reveals speciation-relatedmolecular evolution ThomasH.G. Ezard*, GavinH. Thomas andAndyPurvis Centre for Biological Sciences, University of Southampton, Life Sciences Building 85, Highfield Campus, Southampton SO17 1BJ, UK; Department of Animal and Plant Sciences, University of Sheffield, Sheffield, S10 2TN, UK; and Department of Life Sciences, Imperial College London, SilwoodPark Campus, Ascot, Berkshire, SL5 7PY, UK
Bed-load movement in the south channel and its effect on the south and north passages in the Yangtze Estuary

Based on the digitalized charts from 1958 to 2000, taking the active shaped bars and the shoals as the marks of the bedload transport, the paper studies the bedload movement in the South Channel and its effect on the South and North Passages in the Yangtze Estuary. The study shows that the bedload has been moving to the door of the Estuary and most of it has entered the South Passage in recent 50 years.
Hermetic capacitive pressure sensors for biomedical applications

Purpose This paper aims to purpose the new design and fabrication scheme of Touch Mode Capacitive Pressure Sensor (TMCPS), which can be used in a wireless integrated resistor, inductor and capacitor circuit for monitoring pressure in biomedical applications. Design/methodology/approach This study focuses on the design, simulation and fabrication of dynamic capacitors, based on surface micromachining using polysilicon or aluminum films as the top electrode, both structural materials are capped with a 1.5 μm-thick polyimide film. Findings The design of microstructures using a composite model fits perfectly the preset mechanical behavior. After the full fabrication, the dynamic capacitors show complete mechanical flexibility and stability. Originality/value The novelty of the method presented in this study includes two important aspects: first, the capacitors are designed as a planar cavity within a rigid frame, where two walls contain channels which allow for the etching of the sacrificial material. Second, the electromechanical structures are designed using a composite model that includes a polyimide film capping for a precise pressure sensing, which also protects the internal cavity and, at the same time, provides full biocompatibility.