Miracle-dz/UniFAR-FTUs huggingface dataset:
Lacticaseicin 30 and Colistin as a Promising Antibiotic Formulation against Gram-Negative β-Lactamase-Producing Strains and Colistin-Resistant Strains

Antimicrobial resistance is a global health concern across the world and it is foreseen to swell if no actions are taken now. To help curbing this well announced crisis different strategies are announced, and these include the use of antimicrobial peptides (AMP), which are remarkable molecules known for their killing activities towards pathogenic bacteria. Bacteriocins are ribosomally synthesized AMP produced by almost all prokaryotic lineages. Bacteriocins, unlike antibiotics, offer a set of advantages in terms of cytotoxicity towards eukaryotic cells, their mode of action, cross-resistance and impact of microbiota content. Most known bacteriocins are produced by Gram-positive bacteria, and specifically by lactic acid bacteria (LAB). LAB-bacteriocins were steadily reported and characterized for their activity against genetically related Gram-positive bacteria, and seldom against Gram-negative bacteria. The aim of this study is to show that lacticaseicin 30, which is one of the bacteriocins produced by Lacticaseibacillus paracasei CNCM I-5369, is active against Gram-negative clinical strains (Salmonella enterica Enteritidis H10, S. enterica Typhimurium H97, Enterobacter cloacae H51, Escherichia coli H45, E. coli H51, E. coli H66, Klebsiella oxytoca H40, K. pneumoniae H71, K. variicola H77, K. pneumoniae H79, K. pneumoniae H79), whereas antibiotics failed. In addition, lacticaseicin 30 and colistin enabled synergistic interactions towards the aforementioned target Gram-negative clinical strains. Further, the combinations of lacticaseicin 30 and colistin prompted a drastic downregulation of mcr-1 and mcr-9 genes, which are associated with the colistin resistance phenotypes of these clinical strains. This report shows that lacticaseicin 30 is active against Gram-negative clinical strains carrying a rainbow of mcr genes, and the combination of these antimicrobials constitutes a promising therapeutic option that needs to be further exploited.
A six-wheeled omnidirectional autonomous mobile robot

We describe a novel six-wheeled "omnidirectional" autonomous robot platform based on the USU smart wheel mobility capability concept and a distributed, multiprocessor vetronics system. We also describe the multiresolution behavior-generation strategy that was developed for these systems. A task decomposition approach using a grammar of primitive maneuvers is the basis for mission and path planning for the ODV robots, and a feedback linearization control strategy is used for path tracking. Simulations and experiments show the effectiveness of the mission planning and control strategies. Our ongoing and future research considers the mobility advantages offered by the ODV platform over more conventional systems and looks for ways to more tightly integrate the mission and path planner functions with the vehicle-level control systems to develop intelligent, reactive behaviors.
Sustainable Urban Transport—Why a Fast Investment in a Complete Cycling Network Is Most Profitable for a City

The development of safe cycling as a mode of transport is an important objective of the transformation towards sustainable mobility in European cities. A significant number of European cities are faced with the need to implement the assumptions of the European Green Deal, of which the promotion of sustainable urban transport is a part. The article presented a simulation of the Perfect Cycling City Model in real conditions that inspired the design of two scenarios for the fast development of bicycle routes in a key transport network area in Warsaw. Scenario 1 assumes building subsidiary bicycle routes and links between the main routes. In Scenario 2, the development of all optimal cycling links at the local level is assumed. An increase in cycling participation is expected in both scenarios. The comparison of projected costs of each scenario indicated that building a complete network of connections is more profitable in terms of increased cycling participation and could counter the dominance of private car use. For this to happen, measures encouraging individuals combined with improved safety and convenience of cycling around the city must be undertaken.
The Oxidative Stress and Chronic Inflammatory Process in Chagas Disease: Role of Exosomes and Contributing Genetic Factors

Chagas disease is a neglected tropical disease caused by the flagellated protozoa Trypanosoma cruzi that affects several million people mainly in Latin American countries. Chagas disease has two phases, which are acute and chronic, both separated by an indeterminate time period in which the infected individual is relatively asymptomatic. The acute phase extends for 40-60 days with atypical and mild symptoms; however, about 30% of the infected patients will develop a symptomatic chronic phase, which is characterized by either cardiac, digestive, neurological, or endocrine problems. Cardiomyopathy is the most important and severe result of Chagas disease, which leads to left ventricular systolic dysfunction, heart failure, and sudden cardiac death. Most deaths are due to heart failure (70%) and sudden death (30%) resulting from cardiomyopathy. During the chronic phase, T. cruzi-infected macrophages respond with the production of proinflammatory cytokines and production of superoxide and nitric oxide by the NADPH oxidase 2 (NOX2) and inducible nitric oxide synthase (iNOS) enzymes, respectively. During the chronic phase, myocardial changes are produced as a result of chronic inflammation, oxidative stress, fibrosis, and cell death. The cellular inflammatory response is mainly the result of activation of the NF-κB-dependent pathway, which activates gene expression of inflammatory cytokines, leading to progressive tissue damage. The persisting production of reactive oxygen species (ROS) is the result of mitochondrial dysfunction in the cardiomyocytes. In this review, we will discuss inflammation and oxidative damage which is produced in the heart during the chronic phase of Chagas disease and recent evidence on the role of macrophages and the production of proinflammatory cytokines during the acute phase and the origin of macrophages/monocytes during the chronic phase of Chagas disease. We will also discuss the contributing factors and mechanisms leading to the chronic inflammation of the cardiac tissue during the chronic phase of the disease as well as the innate and adaptive host immune response. The contribution of genetic factors to the progression of the chronic inflammatory cardiomyopathy of chronic Chagas disease is also discussed. The secreted extracellular vesicles (exosomes) produced for both T. cruzi and infected host cells can play key roles in the host immune response, and those roles are described. Lastly, we describe potential treatments to attenuate the chronic inflammation of the cardiac tissue, designed to improve heart function in chagasic patients.
Future opportunities for offsite in the UK

Practitioners' views and opinions on the benefits and drawbacks of offsite technologies in the UK construction industry can vary widely, often depending upon their role or position. This research provides an indication of the opinions of the different sectors within the industry, including clients, designers, contractors and offsite suppliers, together with some predictions for the future growth of the offsite sector in the UK. A questionnaire survey of UK construction was conducted in order to target the three main construction industry sectors—suppliers/manufacturers, contractors and designers/clients. More than 80 questionnaires were completed and returned. The vast majority of practitioners within the industry are aware of the possibilities and potential of offsite, and most also understand the advantages and disadvantages of its use. The value of the UK offsite market was valued at £2.2bn in 2004 and the demand for offsite is clearly increasing, but it is not always clear in a project who is the main driver for its use. For the offsite market to develop further however, two main problems need to be addressed; the lack of transparent information for the decision makers in the construction process, particularly that relating to comparative costs, and the lack of available multi‐skilled labour to work in the offsite factories.
A Systematic Study of Ammonia Recovery from Anaerobic Digestate Using Membrane-Based Separation

Ammonia recovery from synthetic and real anaerobic digestates was accomplished using hydrophobic flat sheet membranes operated with H2SO4 solutions to convert ammonia into ammonium sulphate. The influence of the membrane material, flow rate (0.007, 0.015, 0.030 and 0.045 m3 h−1) and pH (7.6, 8.9, 10 and 11) of the digestate on ammonia recovery was investigated. The process was carried out with a flat sheet configuration at a temperature of 35 °C and with a 1 M, or 0.005 M, H2SO4 solution on the other side of the membrane. Polytetrafluoroethylene membranes with a nominal pore radius of 0.22 µm provided ammonia recoveries from synthetic and real digestates of 84.6% ± 1.0% and 71.6% ± 0.3%, respectively, for a membrane area of 8.6 × 10−4 m2 and a reservoir volume of 0.5 L, in 3.5 h with a 1 M H2SO4 solution and a recirculation flow on the feed side of the membrane of 0.030 m3 h−1. NH3 recovery followed first order kinetics and was faster at higher pHs of the H2SO4 solution and recirculation flow rate on the membrane feed side. Fouling resulted in changes in membrane surface morphology and pore size, which were confirmed by Atomic Force Microscopy and Air Displacement Porometry.
Novel CMOS two-dimensional integrated gas flow sensor

A two-dimensional integrated gas flow sensor with on-chip pre-amplifying circuits is demonstrated. The sensor is fabricated by standard CMOS (complementary mental oxide semiconductor) process and post processing anisotropic etching technology. The sensor, which uses four aluminum/p-type polysilicon thermopiles as sensing elements and four polysilicon resistors as heaters respectively, is based on a thin floating membrane composed of the sandwich dielectric layers. The principle of operation is based on the heat transfer from the four heaters to the gas and the detection of the flow-induced temperature gradients in the two directions by the four thermopiles, integrated at four sides of the heaters in this chip. The flow-induced temperature gradients provide information about the magnitude and direction over the full range of 360 degree(s) of the gas flow. When compared to an aluminum/p-type silicon flow sensor of similar dimension, this new structure possesses a much higher sensitivity, and an improved offset and time response behavior.
A Static VAR Compensator Model for Improved Ride-Through Capability of Wind Farms

Dynamic reactive compensation is associated with reactive power and voltage control of induction generator based wind turbines. With regard to wind power, application areas of dynamic reactive compensation can be improvement of the power quality and the voltage stability, the control of the reactive power exchange between the wind farm and the power grid in the wind farm connection point as well as improvement of the ride-through capability of the wind farm. This article presents a model of a Static VAR Compensator (SVC) with dynamic generic control that is a kind of dynamic reactive compensation devices. The term “generic” implies that the model is general and must cover a variety of the SVC units and their specific controls from different manufacturers. The SVC model with dynamic generic control is implemented by Eltra in the simulation tool Powerfactory and validated from the SVC model in the tool PSCAD/EMTDC. Implementation in the tool Powerfactory makes it possible to apply the SVC model with dynamic generic control in investigations of power system stability with regard to establishment of large wind farms without restrictions on the model size of the power grid.
New CMOS/NIC-based MOSFET-C filters

A new CMOS NIC-based MOSFET-C integrator and its filter applications are presented. Based on this integrator, the required filter chip area and manufacturing cost can be reduced. A third-order elliptic lowpass ladder filter with 0.02dB ripple and bandwidth up to 1.0MHz is designed and simulated. The excellent high frequency performances of these NICs will facilitate the realisation of high frequency integrated filters.
Background for the introduction of enhanced recovery after surgery and patient outcomes

Background: To facilitate early postoperative recovery of surgical patients, various efforts have been made to develop effective treatment methods since 1990; moreover, these efforts have not been limited to surgical techniques and include multiple aspects of the entire treatment process. Enhanced recovery after surgery (ERAS) is a surgical quality improvement project that has advanced substantially since it was first introduced in 1995 and has now been firmly established in the field of perioperative care.Current Concepts: ERAS consists of many components that cover each stage before, during, and after surgery, and its clinical application changes according to the results of evidence-based research for each item. To date, more than 20 ERAS guidelines have been created for each disease, and more guidelines are expected in the future. Many studies have reported that ERAS is associated with meaningful improvements in clinical outcomes and reductions of medical costs in many surgical fields.Discussion and Conclusion: ERAS remains a work in progress, and continuous research and improvement is needed in relation to the components, areas of application, audit of compliance and results, education, and a multidisciplinary approach.
A time transfer technique using a space-borne hydrogen maser and laser pulse timing

We describe a system for worldwide precision time transfer between ground-based clocks and a satellite-borne clock, using laser pulse timing. The system is designed to compare time between earth and space clocks with a precision of 100 ps or better, and will be tested as part of the NASA/SAO Hydrogen Maser Clock experiment. <<ETX>>
Student's Perception of Online Learning Due to Covid 19 (Case Study at UNITOMO Vocational School Surabaya)

The rapid development of information technology can answer problems that arise after the Covid-19 pandemic, especially problems in the learning process. Information technology that plays a role in the world of education which is currently booming is online learning. Online learning is different from ordinary learning, online learning places more emphasis on student's ability to receive and process information. Online learning serves as a liaison between teachers and students through the internet network that can be accessed anytime and anywhere. There are various online media used in the learning process including; WhatsApp, Google Meet, Zoom, Classroom, and even e-learning. But among these media, the easiest to use is WhatsApp, which is easily accessible at every level of education. Online learning is now an effective medium for the learning process at all levels. For an effective and optimal online learning process, there are several learning models offered by experts during the Covid-19 pandemic, including; Online Model, Offline Model, Online e-learning Model, Project-Based Learning, and Blended Learning.
miRetrieve—an R package and web application for miRNA text mining

Abstract microRNAs (miRNAs) regulate gene expression and thereby influence biological processes in health and disease. As a consequence, miRNAs are intensely studied and literature on miRNAs has been constantly growing. While this growing body of literature reflects the interest in miRNAs, it generates a challenge to maintain an overview, and the comparison of miRNAs that may function across diverse disease fields is complex due to this large number of relevant publications. To address these challenges, we designed miRetrieve, an R package and web application that provides an overview on miRNAs. By text mining, miRetrieve can characterize and compare miRNAs within specific disease fields and across disease areas. This overview provides focus and facilitates the generation of new hypotheses. Here, we explain how miRetrieve works and how it is used. Furthermore, we demonstrate its applicability in an exemplary case study and discuss its advantages and disadvantages.
A Voltage Mode Control Maximum Power Point Tracking for Stand-Alone Photovoltaic System

The purpose of this paper is to discuss a modeling and control of stand- alone photovoltaic system using voltage mode control maximum power point tracking (MPPT) method. The PV module was modeled based on the parameters obtained from a commercial PV data sheet while voltage mode control was modeled using simulink block model. A DC-DC boost converter was chosen to step-up and regulates the input DC voltage of the PV module. The voltage mode control (VMC) maximum power point tracking model was simulated and compared with perturb and observe (P&O) maximum power point tracker in order to validate the performance of output results. Results showed that the voltage mode control maximum power point tracking model yields the similar performance as produced by the photovoltaic system controlled by perturb and observe maximum power point tracking algorithm. The simulation is made to analyze the voltage, current and power generated under the changing irradiant and temperature condition. As a conclusion, the voltage mode control technique is possible to implement which yields the similar performance as the results from conventional MPPT method.
Development and testing of a synchronous micropump based on electroplated coils and microfabricated polymer magnets

In this paper, the concept, fabrication, activation and testing of a novel synchronous micropump based on microfabricated copper coils and polymer magnets are presented. The pump works by the synchronized rotation of two polymer magnets in an annular SU-8 microfluidic channel. Magnet rotation is achieved by sequentially activating a set of planar coils to repel or attract the first magnet (traveling magnet) through the channel, while the second one is anchored between the inlet and the outlet ports. At the end of each pumping cycle, the magnets exchange their anchored and traveling functions. The synchronization of magnet rotation has been achieved through programming two activation schemes that proved the high dependence of the pump operation and performance on employed activation scheme parameters. The magnetic forces exerted from electroplated coils on the polymer magnet were tested experimentally using a three-dimensional force sensor. Different coil dimensions have been investigated. A maximum force of 658 µN at an applied current of 138 mA was achieved. The micropump has successfully pumped water with rotational speeds up to 83.33 rpm. Water flow rates in the range of 17.3 µL min−1 at 31.25 rpm to 158.7 µL min−1 at 83.33 rpm were achieved.
Design of a performance-adaptive proportional—integral—derivative controller for stochastic systems

In order to manufacture high-quality products it is necessary to regularly monitor the performance of the control loops that regulate the quality variables of interest. This paper describes a design scheme of performance-adaptive controllers which are based on the above control strategy. According to the proposed control scheme, the output prediction error is monitored regularly and system identification is initiated if this error exceeds a user-defined threshold. Subsequently proportional—integral—derivative (PID) parameters are updated for the new model. Optimal PID parameters are calculated based on the linear quadratic Gaussian (LQG) trade-off curve obtained for the reidentified process model. The behaviour of the proposed control scheme is numerically evaluated by some simulation examples.
Temporal Variability of Surface Reflectance Supersedes Spatial Resolution in Defining Greenland's Bare-Ice Albedo

Ice surface albedo is a primary modulator of melt and runoff, yet our understanding of how reflectance varies over time across the Greenland Ice Sheet remains poor. This is due to a disconnect between point or transect scale albedo sampling and the coarser spatial, spectral and/or temporal resolutions of available satellite products. Here, we present time-series of bare-ice surface reflectance data that span a range of length scales, from the 500 m for Moderate Resolution Imaging Spectrometer’s MOD10A1 product, to 10 m for Sentinel-2 imagery, 0.1 m spot measurements from ground-based field spectrometry, and 2.5 cm from uncrewed aerial drone imagery. Our results reveal broad similarities in seasonal patterns in bare-ice reflectance, but further analysis identifies short-term dynamics in reflectance distribution that are unique to each dataset. Using these distributions, we demonstrate that areal mean reflectance is the primary control on local ablation rates, and that the spatial distribution of specific ice types and impurities is secondary. Given the rapid changes in mean reflectance observed in the datasets presented, we propose that albedo parameterizations can be improved by (i) quantitative assessment of the representativeness of time-averaged reflectance data products, and, (ii) using temporally-resolved functions to describe the variability in impurity distribution at daily time-scales. We conclude that the regional melt model performance may not be optimally improved by increased spatial resolution and the incorporation of sub-pixel heterogeneity, but instead, should focus on the temporal dynamics of bare-ice albedo.
A Laboratory Measurement Method of Antenna Gain

Antenna gain is one of the most important electrical characteristics that are of interest to obtain by direct measurement in laboratory experiment. This paper introduced a laboratory measurement method of antenna gain, and demonstrated this experiment in detailed steps such as measurement environment surrounding the antenna, measurement preparation, measurement points for attention, etc. A quarter wave omnidirectional antenna, a collinear omnidirectional antenna, a biquad antenna and a cantenna were shown as models, and the measurement result is fully consistent with theoretical value.
ReHy: A ReRAM-based Digital/Analog Hybrid PIM Architecture for Accelerating CNN Training

Processing-In-Memory (PIM) has emerged as a high-performance and energy-efficient computing paradigm for accelerating convolutional neural network (CNN) applications. Resistive random access memory (ReRAM) has been widely used in PIM architectures due to its extremely high efficiency for accelerating matrix-vector multiplications through analog computing. However, because CNN training usually requires high-precision computation in the backward propagation (BP) stage, the limited precision of analog PIM accelerators impedes their adoption in CNN training. In this paper, we propose ReHy, a hybrid PIM accelerator to support CNN training in ReRAM arrays. It is composed of Analog PIM (APIM) and Digital PIM (DPIM) modules. ReHy uses APIM to accelerate the feed-forward propagation (FP) stage for high performance, and DPIM to process the BP stage for high accuracy. We exploit the capability of ReRAM for Boolean logic operations to design the DPIM architecture. Particularly, we design floating-point multiplication and addition operators to support matrix multiplications in ReRAM arrays. We also propose a performance model to offload high-precision matrix multiplications to DPIM according to the data parallelism. Experimental results show that ReHy can speed up CNN training by 18.8 and 2.3, and reduce energy consumption by 21.2 and 3.2, compared with CPUs and state-of-the-art FloatPIM, respectively.