Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of water molecules at different temperatures on properties of cellulose based on molecular dynamics simulation

Six hybrid models of cellulose amorphous region and water molecules were established by using a molecular dynamics software to simulate changes of cellulose and water molecules during bamboo hydrothermal treatment. The results indicated that in the range of hydrothermal treatment temperature of bamboo from 150 to 240 °C, the diffusion coefficient of water molecules increased with the increase of temperature, conducive to the processing efficiency of hydrothermal treatment. The mean square displacement (MSD) of the bamboo cellulose chain increased with the increase of temperature, not conducive to the thermal stability of cellulose. The energy change of the system predicts that a higher hydrothermal treatment temperature will result in faster material aging degradation. The comprehensive analysis of mechanical parameters showed that when the hydrothermal treatment temperature did not exceed 180 °C, bamboo cellulose had better plasticity and toughness.
Comparative Analysis of Different Wireless Technologies

— This paper gives brief understanding of different wireless technologies. Comparative analysis between them with the help of suitable pictures, graphs and tables. This paper covers different wireless technologies including Bluetooth, Infrared, Zigbee, NFC and Wi-Fi. Now a days, wireless technologies becoming more and more advance.In this era, it is more important to do analysis of these technologies to use these at it’s maximum.
Increasing Trends in Out-of-Hospital Cardiac Arrests During COVID-19 Era: A Scoping Review

Background: COVID-19 pandemic has severely impacted millions of lives and attributed to an elevated mortality rate, through both direct and indirect mechanisms; thus causing a ceaseless burden on the healthcare system. Objectives: This study aims to identify the out-ofhospital cardiac arrest related events, outcomes, management, patient characteristics, direct/indirect factors and mortality during the COVID-19 pandemic. Methods: We conducted a scoping review in accordance with the PRISMA Extension for Scoping Reviews. A systemic search was performed from March 2020 to January 2021, on PubMed, OVID Embase and Science Direct. Two authors independently screened the electronic databases for eligible articles written or translated in English, and related to OHCAs during COVID-19 pandemic compared to non-pandemic period. Later, data were extracted and charted in tables to narratively summarise the study findings. Results: We identified 1,271 online search records, whereof 28 publications were selected for the full-text assessment, and only 13 eligible studies Turkish Journal of Physiotherapy and Rehabilitation; 32(3) ISSN 2651-4451 | e-ISSN 2651-446X www.turkjphysiotherrehabil. org 25089 were included. Overall, the findings directed that OHCA related incidence and mortality was remarkably higher during the pandemic. Fear, lockdown, social distancing, and EMS response time were indirect OHCA contributors. Across the selected studies, reduced bystander-CPR, defibrillation and AED use, along with increased supraglottic airway management and unwitnessed OHCA was observed. Male, Black, hypertensive, diabetic patients with physical limitations were significantly higher, and COVID-19-positive cases had significantly lower rate of survival to hospital admission or discharge. Conclusion: COVID-19 pandemic is associated with poor OHCA outcomes and reduced survival rate. Direct and indirect factors are attributable to the increasing trends in COVID-19-related OHCA incidence and mortality.
Glioma Tumor Detection Through Faster Region-Based Convolutional Neural Networks Using Transfer Learning.

: - Glioma Tumor is generally found in the brain and spinal cord. This tumor begins in glial cells that cover the nerve cells and control the function of that. The Glioma tumor is classified based on glial cells involved in the Glioma tumor formation. The tumor affects the normal activity of the patients such as loss of memory, difficulties in speech, confuse the identification of objects, and also causes difficulties to maintain the balance of the body. The early detection of Glioma tumor helps healthcare practitioners to suggest a suitable treatment for the disease. The detection of a Glioma tumor is a challenging task. Many types of approaches had been proposed by the researchers and academicians for accurately detecting the Glioma tumor. Accurately detecting the brain tumor is still a big challenge. Because of recent advances in image processing and computer vision, healthcare professionals are using sophisticated disease diagnostic tools for disorders/disease prediction. The Neurosurgeons and Neuro-Physicians use the magnetic resonance imaging technique to identify multiple brain tumors. The approaches to computer vision play a significant role in the automated identification of different Brain tumors. This research paper explores the Convolutional neural network-based Faster R-CNN approach for the Glioma tumor detection using four pre-trained deep networks such as Alexnet, Resnet18, Resnet50, and Googlenet. The proposed approach of object detection as compared to other R-CNN approaches is more efficient and accurate having higher precision. The proposed model detects the Glioma tumor with 99.9% accuracy. The pre-trained networks used to train the tumor detection model are Alexnet, Resnet18, and Resnet50, and Googlenet. As compare to Alexnet, resnet18, and Googlenet deep networks, the Resnet50 Pre-trained network performed well with higher accuracy of detection.
Optimization of Flexible Approach Trajectories Using a Genetic Algorithm

Current air traffic management in the terminal area is based on published sets of standard routes. However, a new procedure called the continuous descent approach has been recently proposed to decrease noise disturbances. To allow increased use of continuous descents and simultaneously increase performance in terms of other important aspects such as throughput, it may be beneficial to replace the predetermined fixed approach trajectories with more flexible trajectories instead. This is studied through optimizing approach trajectories, for which a genetic algorithm is used. Analyses show that allowing more flexibility in the approach routes can increase throughput, enable scheduling trajectories closer to continuous descent approaches, and result in routing flights less often over residential areas. However, it is also shown that flexible approach trajectories may increase airspace complexity, which in effect may make the task of air traffic control more complicated. Nomenclature a = longitudinal acceleration, dVC/dt CR H = mean maximum horizontal closure rate CR V = mean maximum vertical closure rate d = time deviation ˆ E = energy rate demand F = objective function value f = fitness h = altitude L = noise load on community; length M = number of segments N = number of flights N8 = maximum number of aircraft pairs with less than 8-n mi (14.82 km) horizontal distance N13 = maximum number of aircraft pairs with less than 13-n mi (24.08 km) horizontal distance Nac = maximum number of aircraft with an altitude change rate over 500 ft/min (2.54 m/s) NC = number of crossings points between arrival and departure flows Npk = peak number of aircraft simultaneously in the terminal area Nsc = maximum number of aircraft with an airspeed change greater than 10 kn (5.14 m/s) during a 2-min interval R = radius SH = mean minimum horizontal separation distance SV = mean minimum vertical separation distance T = segment type; throughput VC = calibrated airspeed Vg = ground speed γ = flight-path angle
Minimum Variation Guidance Laws for Interceptor Missiles

This paper introduces a new approach to guidance law design using linear quadratic optimal control theory, minimizing throughout the engagement the variation of the control input as well as the integral control effort. The guidance law is derived for arbitrary order missile dynamics and target maneuvers. Explicit results are provided for a first order missile model and a constant target maneuver. It is shown that in the limiting cases the guidance law degenerates to either Contrell's minimum effort law or to a guidance law that enables mitigating saturation. The performance of the guidance law is analyzed theoretically and demonstrated on a few simulation cases. © IFAC.
Pharmacogenetics of Biological Agents Used in Inflammatory Bowel Disease: A Systematic Review

Inflammatory Bowel Disease (IBD) comprises a group of disorders, in particular Crohn’s disease (CD) and ulcerative colitis (UC), characterized by chronic inflammation affecting the gastrointestinal tract. The treatment of these conditions is primarily based on anti-inflammatory drugs, although the use of biological drugs with lower side effects quickly increased in the last decade. However, the presence of certain polymorphisms in the population may determine a different outcome in response to therapy, reflecting the heterogeneity of the efficacy in patients. Considering that several studies showed important correlations between genetic polymorphisms and response to biological treatments in IBD patients, this systematic review aims to summarize the pharmacogenetics of biologicals approved for IBD, thus highlighting a possible association between some polymorphisms and drug response. With this purpose, we reviewed PubMed papers published over the past 21 years (2000–2021), using as the search term “drug name and IBD or CD or UC and polymorphisms” to underline the role of pharmacogenetic tests in approaching the disease with a targeted therapy.
When distance matters: Mapping HIV health care underserved communities in sub-Saharan Africa

Despite efforts to increase the proportion of individuals diagnosed with HIV who receive anti-retroviral therapy, 28% of people living with HIV (PLHIV) aged 15 years and older in eastern and southern Africa and 42% in western and central Africa were not receiving anti-retroviral therapy in 2019. Therefore, improving access to health care services is key to reduce HIV incidence and prevalence. The main aim of this study was to generate high-resolution maps of underserved areas where people cannot access the closest health care facilities within appropriate travel time in sub-Saharan Africa (SSA). Main sources of data for this study were the estimated number of PLHIV for adults aged 15–49 years in 47 countries in SSA and the global map of travel time to the nearest health care facility by motorized and non-motorized transportation. These data were used to estimate and map the number of PLHIV in underserved areas at a travel distance of 10, 30, and 60 minutes from the nearest healthcare facility. We identified and mapped more than 7 million PLHIV in the areas with a lack of access to health care within 10-minute travel time and 1.5 million PLHIV in the areas with a lack of access to health care within 60-minute travel time. The identified locations of underserved areas are an indicator of the challenge faced by PLHIV in accessing health services in SSA, a situation that is likely worsened by the COVID-19 pandemic. These findings can contribute to developing cost-effective geospatial policies for interventions aimed at underserved areas at a finer resolution for communities that have usually been identified in aggregated spatial areas. Further development and implementation of tailored intervention and treatment programs, especially in areas identified as underserved for PLHIV, should be explored. Geospatial analyses could complement the decision-making process with stakeholders to enhance healthcare access for PLHIV in SSA.
Polarization‐dependent gain and state of polarization effects on linewidth of semiconductor fiber ring lasers

Linewidth measurements of a tuneable, high power, narrow linewidth semiconductor fiber ring laser are presented. The laser had a typical output power of 9.72 dBm with a corresponding 170 kHz FWHM and 311 kHz 20‐dB linewidth. We demonstrate experimentally the dependence of laser's linewidth on SOP of the lasing light and polarization‐dependent gain of semiconductor gain medium. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 31–34, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22984
Numerical Simulation of the Flow Through the Return Channel of Multi-Stage Centrifugal Compressors

The numerical simulation of the flow within a return channel is reported in this paper. The investigated return channel is typically to join the exit from one stage of a centrifugal machine to the inlet of the next stage. These channel covers the range of extremely low flow coefficients.Different 3-D calculations with two different turbulence models (low-Reynolds-number k-ϵ and explicit algebraic Reynolds stress model) at the design point and part load range show the strongly three-dimensional flow structure with secondary flows on hub and shroud of the deswirl vanes. There are also significant separations downstream of the 180°-bend at suction and pressure side of the vanes.The presented numerical results are compared with experimental data in different planes and at the vane contour. The results indicate small differences between the turbulence models in the prediction of losses, flow angles and separation behavior at design point. At off-design conditions the turbulence models begin to deviate notably in their prediction of separation.Copyright © 1998 by ASME
Eco-design of pumps in manufacturing and their use

For examining eco-design of pumps, the innovations of the pumps were evaluated by using LCA technology. In consequence, environmental loads of material productions were quite high in the production phase. The total weights and the environmental loads of the pumps could be effectively decreased by the adoption of material alternation of the main parts and the higher rotational speed of motors. In the life cycle of the pumps, there is quite a high share of the total environmental loads because of their long life and the machines' high power consumption. HzFree pump, EBARA's advanced model, could effectively decrease energy consumption and CO/sub 2/ emission to one fifth those of MS type, the most conventional pump among EBARA's products, in production phase and could achieve 20% reduction of those in use phase. Actual replacement of the existing pumps with HzFree pumps at Fujisawa plant, 36% of electricity saving could be achieved.
Tecnotest: A screening tool for technological addictions and gambling disorder.

One of the most pressing social and scientific issues, as reflected in the current priority lines of the National Drugs Plan (PNSD), is the development of screening tools for the early detection of addictions, particularly behavioral addictions, due to the impact that these problems are having on the growth of addictions in recent years, especially in adolescents and young people. GOAL The main goal of this research was to develop a screening tool for technological addictions (video games, mobile and social networks) and gambling for early detection in people suffering this kind of behavioral addiction. PROCEDURE With technologies, in the absence of agreed clinical criteria, those participants who perceived themselves as having problems and, in addition, had received treatment for it, were selected. Regarding gambling, the diagnostic criteria of the DSM-5 were used. The three items that scored the highest Positive Predictive Values (PPV) in each of the four validated tests were selected. These indicators serve to distinguish those who use the technologies and/or gamble in a functional way and do not have any problems from those who already have an addictive problem with video games, mobile, social networks or gambling. RESULTS This paper shows the finished screening tool with its main psychometric properties, which can be used by professionals working with adolescents in order to detect people who could have some addictive problem, in which case the psychologist can refer them to a specialized healthcare resource.
Statistical analysis of infrared thermogram for CNN-based electrical equipment identification methods

ABSTRACT It is essential to develop infrared (IR) thermogram identification technologies to establish automatic diagnosis systems in power substations. The convolutional neural network (CNN) based methods show the highest accuracy in this field. The IR thermograms of electrical equipment are very different from general digital images, which means the present methods need further improvements. For data-driven CNN methods, it is necessary to study the characteristics of the IR data. This paper collected 11817 thermograms from substations and structured the dataset according to equipment types. The statistical features of mean, variance, skewness, kurtosis and contrast are analyzed and compared with other five image datasets. Several tricks are revealed from the analysis and tested on CNN models. Firstly, greycaling the Iron pseudo-color images extracts the temperature information and makes it possible to design models with fewer channels. The test shows it could reduce over 35% computational costs. Secondly, the sparse information of color and edges of thermograms makes it necessary to keep the original aspect ratio. The image preprocessing method of cropping shows better performance than padding and rescaling. Thirdly, the 0–1 normalization can boost the training process for about 100 epochs, which is related to the particular background of thermograms.
SEBAL model with remotely sensed data to improve water-resources management under actual field conditions

Water management emphasis tends to shift from supply augmentation to limiting water consumption. Spatio-temporal information on actual evapotranspiration (ET) helps users to better understand evaporative depletion and to establish links between land use, water allocation, and water use. Satellite-based measurements, used in association with energy balance models, can provide the spatial distribution of ET for these linkages. This paper describes the major principles of the Surface Energy Balance Algorithm for Land (SEBAL) and summarizes its accuracy under several climatic conditions at both field and catchment scales. For a range of soil wetness and plant community conditions, the typical accuracy at field scale is 85% for 1 day and it increases to 95% on a seasonal basis. The accuracy of annual ET of large watersheds was found to be 96% on average. SEBAL has been applied in more than 30 countries worldwide, and the 26 research studies that were conducted over the past 10 years are now gradually being replaced by application studies (17 studies finished). A short case study in the Yakima River basin (Washington State) is presented as new material to demonstrate how ET from remote sensing can be used for evaluating water conservation projects.
Application of the fractional Fourier transform to moving target detection in airborne SAR

As a useful signal processing technique, the fractional Fourier transform (FrFT) is largely unknown to the radar signal processing community. In this correspondence, the FrFT is applied to airborne synthetic aperture radar (SAR) slow-moving target detection. For airborne SAR, the echo from a ground moving target can be regarded approximately as a chirp signal, and the FrFT is a way to concentrate the energy of a chirp signal. Therefore, the FrFT presents a potentially effective technique for ground moving target detection in airborne SAR. Compared with the common Wigner-Ville distribution (WVD) algorithm, the FrFT is a linear operator, and will not be influenced by cross-terms even if multiple moving targets exist. Moreover, to solve the problem whereby weak targets are shadowed by the sidelobes of strong ones, a new implementation of the CLEAN technique is proposed based on filtering in the fractional Fourier domain. In this way strong moving targets and weak ones can be detected iteratively. This combined method is demonstrated by using raw clutter data combined with simulated moving targets.
A tool for automatic evaluation of human translation quality within a mooc environment

Descripcion del proceso de creacion de un corpus de traducciones a traves de un curso ofrecido en la plataforma openEdX, y su posterior analisis a fin de entrenar un modelo de evaluacion para traducciones similares que pudiera ser a su vez implementado dentro de openEdx
Brazilian Road Freight Transportation Sector: The Challenge of Sustainability

The road cargo transportation system has significant representativeness in the Brazilian economic scenario. Companies depend on transportation to receive inputs from their suppliers and take their products to consumers. This modal is also the major consumer of fuel oil products in the transportation sector. Thus, it is necessary to act with a focus on sustainability, considering the economic, social and environmental aspects. From this perspective, this study aims to present aspects of the concept of sustainability in the Brazilian road freight transportation sector, with emphasis on the environmental, social and economic dimensions. A qualitative research approach was used with the literature research technique in order to build the theoretical basis for discussion on the dimensions of sustainability in Brazilian road freight transportation. The results show that the road cargo transportation sector is relevant for the country and seeks to fulfill its social role and be economically viable; requires attention to environmental awareness and eco-efficiency; should make efforts to use alternatives to avoid damage to the environment, applying technologies to reduce noise pollution, GHG emissions; and seek to comply with environmental legislation acting in a sustainable manner.
Effect of geometric changes on the flow and heat transfer in the end region of a TEFC induction motor

The flow and heat transfer in the end region of a TEFC motor fitted with a 2-pole high-voltage winding have been predicted and measured in a full-scale model replicating the internal geometry. The work reported here examined the response of the flow and heat transfer coefficients to changes in the wafter size and number.
Resonant wave–filament interactions as a loss mechanism for HHFW heating and current drive

Perkins et al (2012 Phys. Rev. Lett. 109 045001) reported unexpected power losses during high harmonic fast wave (HHFW) heating and current drive in the National Spherical Torus Experiment (NSTX). Recently, Tierens et al (2020 Phys. Plasmas 27 010702) proposed that these losses may be attributable to surface waves on field-aligned plasma filaments, which carry power along the filaments, to be lost at the endpoints where the filaments intersect the limiters. In this work, we show that there is indeed a resonant loss mechanism associated with the excitation of these surface waves, and derive an analytic expression for the power lost to surface wave modes at each filament.
Threshold- and information-based holding at multiple stops

The objective of this study is the improvement in speed and regularity of transit systems using real-time control strategies, in particular, threshold-based and information-based vehicle holding. This objective is attained by taking into account the inherent uncertainty of transit operation, because of the random travel times and passenger arrivals at stops. A Monte Carlo simulation model of a single transit line is presented, with explicit representation of traffic lights. Both the straightforward threshold-based holding strategy and the strategy based on the availability of real-time information at stops, to take holding decision at single or multiple stops, are represented and compared, taking as a reference the results obtained by a conditional priority strategy at intersections, assumed to be given only by green extension actuated by local sensors. The results are evaluated and compared using performance indicators, coincident with waiting and on board time of transit users and with road traffic delay on transversal roads.