Miracle-dz/UniFAR-FTUs huggingface dataset:
Planning for resilience in power distribution networks: A multi‐objective decision support

Power grid response against High-Impact Low-Probability (HILP) events could be enhanced by (a) hardening mechanisms to boost its structural resilience and (b) corrective recovery and mitigation analytics to improve its operational resilience. This paper focuses on planning for structural resilience and attempts to find the optimal location of the Tie switches in radially-operated power distribution networks that enables harnessing the network topology for maximized resilience against HILP disasters. This goal is achieved through a novel resilience-oriented multi-objective decision making platform, which employs a k-PEM based Probabilistic Power Flow (PPF) algorithm. The proposed framework offers a decision making analytic embedded with the Fuzzy Satisfying Method (FSM) that characterizes the system resilience features such as robustness, restoration agility, load criticality, and recovered capacity, to assess different network reconfiguration options and select the optimal solution for implementation. The aforementioned resilience features are formulated in nodal level and then aggregated over the entire system to characterize the system-level objective functions. The performance of the suggested framework is analyzed on the IEEE 33-Bus test system under a designated HILP event and the applicability on larger networks has been verified on the IEEE 69-bus test system. The results demonstrate the efficacy and applicability of the proposed framework in boosting the network resilience against future extremes.
Isolation and Characterization of Native Rhizobium Strains Nodulating Some Legumes Species in South Brazzaville in Republic of Congo

Actually, in Republic of Congo, rhizobia have poorly phenotypically and biochemically characterized. This study aimed to characterize native rhizobia. Rhizobia strains were isolated using nodule roots collected on Milletia laurentii, Acacia spp. , Albizia lebbeck, and Vigna unguiculata. The strains isolated were characterized microbiologically, biochemically, physiologically, and molecularly identified using 16S rRNA method. The results reported in this study are only for six strains of all 77 isolated: RhA1, RhAc4, RhAc15, RhAc13, RhW1, and RhV3. All native strains were positive to urease activity, negative to cellulase and pectinase activity except for one isolate that showed a positive cellulase activity. Moreover, isolates have grown at 12% of NaCl. On different effects of temperatures, isolates were able to grow up to 44°C and showed good growth at pH from 7 to 9 and the ability to use ten different carbon hydrates sources. The strains were identified as Rhizobium tropici, Rhizobium sp. , Mesorhizobium sp. Bradyrhizobium yuanmingense and Bradyrhizobium elkanii. The phylogenetically analysis of the 16S rRNA genes, using a clustering method, allowed us to have a history that is both ancient and stable of four clades among genes with similar patterns. Expanding our awareness of the new legume-rhizobia will be a valuable resource for incorporating an alternative nitrogen fixation approach to consolidate the growth of legumes. These germs can be used in Congolese agriculture to improve yield of crops.
Can Total Nephron Number Predict Progressive CKD after Radical Nephrectomy?

The histologic assessment of the nontumoral kidney parenchyma is recommended in kidney cancer management. This analysis allows an estimation of CKD risk in patients with favorable cancer-related prognosis and whose survival is cor-related with progression toward ESKD. 1 Denic et al. 2 identify several predictive features of CKD progression by analyzing large wedges of nontumoral kidney parenchyma among patients with kidney cancer.
Maximal stability limits in adolescents with Tourette syndrome

1Département des sciences de l’activité physique, Université du Québec à Montréal, 141 Avenue du Président-Kennedy, Offi ce SB-4390, Montreal, H2X 1Y4, Canada 2Département de chirurgie, Faculté de médecine, Université de Montréal, P.O. Box 6128, Downtown Station, Montréal, H3C 3J7, Canada 3Services de neurologie du Centre Hospitalier de l’Université de Montréal (CHUM) and Département de médecine, Université de Montréal, C.P. 6128, succursale Centre-ville, Montreal, H3C 3J7, Canada 4École de kinésiologie et des sciences de l’activité physique, Faculté de médecine, Université de Montréal, 2100 boul. Édouard-Montpetit, Montréal, H3T 1J4, Canada and Institut universitaire de gériatrie de Montréal, 4565 Chemin Queen Mary, Montréal, H3W 1W5, Canada More Information
The Influence of Web-Centric Course in Learning Basic Mathematics toward the Digital Literacy Skills of Preservice Mathematics Teachers

This study aimed to improve digital literacy skills through web-centric course learning for preservice teachers of Sultan Ageng Tirtayasa University. The method used in this study was a quasi-experiment through a pre-test and a post-test group design. The instrument used in this study was a digital literacy skills test in the Mathematical Profession English course, which was in the form of 20 essay tests. The material tested was the result of learning basic mathematics. In the process of learning mathematics, the preservice mathematics teacher had been introduced to number operations using English as opposed to the usual medium process of learning mathematics in the Indonesian Language. Furthermore, the instrument was tested on 20 preservice mathematics teachers of the said university. The average N-gain result for preservice mathematics teachers was 0.56 which belonged to the moderate category. So, it can be concluded that digital literacy skills in learning mathematics can be improved through the course.
Public revenue in India: Trend and effect

Public revenue is a major component of budget shows the manner in which revenue is collected during a financial year by government to boost economic growth. The success of government plan for the growth and development of a country depends on the source and size of public revenue. In India Public revenue acts as government’s most important economic and fiscal policy tool in controlling money supply and maintaining general price level. It is not only important for the corporate but for individuals from all sections of the society as they look forward to tax exemptions and reliefs. Even though India ranks third in purchasing power parity, only a few percentages of population pay income tax. The government's effort to widen the tax base has resulted in an 80 percent jump in number of IT returns filed. The analysis revealed that Public Revenue and macroeconomic indicators are significantly interlinked and correlated. Tax buoyancy is an indicator to measure efficiency to growth in GDP and Gross tax buoyancy coefficient remained fluctuating during the period 1990-91 to 2016-17.
Single‐active switch high‐voltage gain DC–DC converter using a non‐coupled inductor

A single‐active switch high‐voltage gain non‐coupled inductor DC–DC converter is presented. The introduced converter achieves high step‐up gain without using any coupled inductors or transformers, provides high efficiency, and has a simple control system. The converter also achieves low voltage stress on the switch and diodes without clamping circuits, reducing cost, conduction losses, and complexity. The input current of the introduced converter is continuous with low ripple, and is therefore suitable for renewable energy applications in which the fast dynamic response of the converter is necessary. The principle of operation and design considerations of the introduced converter are investigated. A 200 W prototype circuit with 40 kHz switching frequency, 40 V input voltage, and 250 V output voltage is implemented. The prototype operates at 93.2% efficiency, with voltage and current error of less than 4% compared to theoretical values.
Genetic Characteristics of the Kabardian Horse Breed Subpopulations

Kabardian horse is of great interest for breeders, as well as researchers due to its exceptionally high adaptive qualities to the conditions of herd keeping in the highlands and a good prospect of its use in endurance races. The international stud book of the Kabardian breed is maintained by the All-Russian Research Institute of Horse Breeding in accordance with the centralized registration of this breed. In order to obtain data on intrabreed genetic differentiation of the modern Kabardian breed population and to identify the genetic characteristics of subpopulations of Kabardian horses in the Kabardino-Balkar Republic, Krasnodar Krai - Adygea and Karachay-Cherkess Republic (Khabez district), a statistical analysis of the distribution in 17 microsatellite loci used for individual identification and determination of the origin of horses was applied. Observed (H o ) and expected (H e ) heterozygosity, polymorphism level (Na), polymorphism index (PIC) and fixation index (Fis) were calculated. The coefficients of genetic distances and genetic similarity between the studied subpopulations were determined.
Performance Analysis of Image Denoising using Deep Convolutional Neural Network

A performance analysis of conventional Convolutional Neural Network (CNN) based denoising method is proposed. In this image denoising method, the contrast of images is adaptively enhanced. Generally, it is not possible to capture the imageswith good quality for all situations. Because they are captured in various light conditions.So, the captured images are suffered by noise, which results in poor perceived image quality. Thus, it is necessary to improve the quality of images with edge detail preservation as much as possible. The convolutional neural network model for low light image enhancement is already developed and is named as DnCNNs. Here, the performance analysis of image denoising using the DnCNNmodel is presented. The DnCNN implicitly removes the noise in the image. The simulation results afford better reference for application developers.
Numerical Study of Extremely Wideband-Modified Biconical Radiation Structures for Electronic Support Measures Application

Using the finite difference time domain (FD-TD) method, this paper studies radiation structures that can have multiple tunable frequency bands between 0.4 GHz and 4 GHz, a fixed band in [3.97, 5.36] GHz and an extremely wideband from 6.14 GHz to 68.27 GHz, where a frequency band is defined by the voltage standing wave ratio (VSWR) less than or equal to two. The base radiation structure has a modified-biconical antenna configuration, called base MBA, and is fed by a square-coaxial line with characteristic impedance close to 50 ohms. A dielectric ring and an outer dielectric cover are used between the two modified cones to enlarge the frequency band and strengthen the structure. An equal number of metallic-rings can be stacked at both circular-ends of cones in the base MBA to tune the positions of the frequency bands that are lower than 4 GHz and to alter their vertical polarization (V-pol) patterns. However, compared with those of the base MBA, these stacked metallic rings do not make significant changes to the VSWR in the [3.97, 5.36] GHz and [6.14, 28.27] GHz bands and the radiation patterns in the [6.14, 28.27] GHz band. The simulation results show that the base MBA and its metallic-ring-loaded versions all have V-pol radiation characteristics at all frequency bands and have donut-shaped omnidirectional patterns only when the wavelength is bigger than the length of the structure. When the wavelength is less than the size of the radiation structure, the donut shape is modified with ripples on the V-pol radiation pattern. Sometimes deep notches could be observed when MBAs operated at the higher end of the extremely wideband. A 0.2 mm cube was used to construct the antenna structures with the consideration of using the 3D metal/dielectric printer technology to build the antennas in the future.
Using Q Methodology to Explore American Adolescents’ Self-Images and Images of Their Parents

We explored adolescents’ self-images and their images of their parents and how their views of the present and the future relate to their parents’ support. Forty American adolescents sorted two sets of Q statements. Types for adolescents’ self-images are optimistic go-getter in achievement, pioneer in moratorium, hedonistic fun seeker in diffusion, apprehensive self in moratorium, and other conscious self in foreclosure versus self-confident skeptic in moratorium. Types for adolescents’ images of their parents are parents as a role model for life, old-fashioned authoritarian versus poor emotional supporter, and domesticated parents with unhealthy attachment to children versus all-in to the children’s education. Adolescents’ self-images are related to consciousness of their economic situation and their parents’ support of their autonomy.
Drying characteristics and degradation kinetics in some parameters of goji berry (Lycium Barbarum L.) fruit during hot air drying

Drying kinetics, color properties, water-soluble vitamins, antioxidant capacity, total phenolic content, and thermal degradation kinetics of bioactive compounds in goji berries were investigated. Drying experiments were conducted at 50°C, 60°C, and 70°C. Page model was determined as the best model to predict experimental moisture ratio for all temperatures. Increment in drying temperature increased effective moisture diffusivity and drying rate values. Vitamins C and B6, antioxidant activity and total phenolic content were significantly reduced by drying. Thermal degradation of vitamins C and B6, antioxidant capacity and total phenolic content were found to fit the first order kinetic model.
Effect of Biochar Prepared from Food Waste through Different Thermal Treatment Processes on Crop Growth

Biochar is generally accepted and increasingly valued in scientific circles as solid products in the thermochemical conversion of biomass, mainly because of its rich carbon content. The purpose of this research is to investigate the impact of biochar from different sources on wheat growth. In particular, this work focused on the effect of different preparation methods and raw material of biochar on the growth of wheat and aim to find a potential soil substitute that can be used for crop cultivation. Two synthetic methods were evaluated: hydrothermal conversion and pyrolysis. The characterization of biochar was determined to explore the impact of its microstructure on wheat growth. The results show that the yield of biochar produced from high-pressure reactor is significantly higher than that obtained by using microwave reactor. For example, the biochar yield obtained through the former is about six times that of the latter when using steamed bread cooked as biomass raw material. In addition, the growth trend of wheat indicates that biochar has different promoting effects on the growth of wheat in its weight and height. The pyrolyzed carbon is more suitable for wheat growth and is even more effective than soil, indicating that pyrolyzed biochar has more potential to be an alternative soil in the future. Moreover, this research tries to explore the reasons that affect crop growth by characterizing biochar (including scanning electron microscopy (SEM), biofilm electrostatic test (BET) and Fourier transform infrared (FT-IR)). The results indicate that the biochar containing more pits and less hydroxyl functional are more suitable for storing moisture, which is one of the significant factors in the growth of crops. This study provides evidence of the effects of biochar on crop growth, both in terms of microstructure and macroscopic growth trends, which provides significant benefits for biochar to grow crops or plants.
‘Don’t show that you’re scared’: resilience in providing healthcare in a UK low-to-medium secure hospital

ABSTRACT Background Healthcare provision within specialist hospitals is associated with heightened levels of stress and burnout, risking negative implications for employees, organisations, and patients. Minimal research has focused on lower-skilled worker experiences. This study explores frontline care workers’ experience and perceptions of providing care within a low-to-medium secure hospital within the UK. Method Eight semi-structured interviews were conducted with healthcare assistants and mental health nurses (18–65 years) at a low-to-medium secure hospital. Thematic analysis (Braun & Clarke, 2006) was used to analyse the data. Results Three main themes are proposed: ‘Resilience to threat’ capturing the daily occurrence and normalisation of threat; ‘Need for support’ shows peer to peer talk as the primary coping mechanism but importantly, a possible disconnect between perceptions, and provision, of organisational support; finally, ‘Unique environment’ highlights the dual aspect of providing care and correction whilst coping with common challenges e.g. staff shortages. Conclusions Results provide insight into the pressures experienced by frontline healthcare workers alongside staff motivation to ‘make a difference’. Findings highlight some unique challenges of working in low-to-medium secure hospitals which contributes to negative outcomes for worker engagement, performance, and individuals’ mental and physical health. Implications for organisations and future practice are discussed.
The Physiological Effects of a Walking to Music Intervention in Adults with Intermediate Hyperglycemia

Purpose: Overweight individuals are at risk of intermediate hyperglycemia (IHG) [1]. Increasing physical activity (PA) in IHG is one method to reduce the risk of glucometabolic and cardiovascular (CV) complications [2]. This study investigates walking to music as a modality to increase moderate intensity PA and regulate glucometabolic disturbances. Patients and Methods: Participants were randomized to usual care (UC) or intervention group (IG) who completed a 6 month walking to music program. Physiological assessments for a range of variables (DEXA, flow mediated dilatation (FMD) and glucometabolic biomarkers) were completed at baseline, 4, 6 and 9 months (follow-up). Results: For IG group, walking compliance decreased with time however 71.4%, 79.5% and 73% of walking completed was moderate intensity at 4, 6 and 9 months. At 6 months IG FMD was significantly lower than UC and HbA1Cwas 5% lower. Other physiological markers were not altered. Conclusion: Walking to music may be a novel method to encourage moderate intensity PA. However, the majority of results demonstrate that this intervention was not more effective than UC in managing glucometabolic and CV biomarkers in IHG. Future interventions should include additional support for the entire study duration however this has cost implications.
Numerical simulation of vertical tunnelling field-effect transistors charge-trapping memory with TCAD tools

A novel vertical tunnelling field-effect transistor (TFET) based on silicon-oxide-nitride-oxide-silicon (SONOS) non-volatile memory device, named as VT-SONOS, is proposed and investigated using TCAD simulations. Different from traditional planar TFET-based SONOS memory, the VT-SONOS device is programmed via band-to-band tunnelling for vertical pocket and Fowler–Nordheim tunnelling for both pocket/bottom oxide (OXb) and channel/OXb regions, which leads to a steeper subthreshold swing (SS) and a larger on-state current (I ON). The device structure is constructed using Sentaurus TCAD tools, and I D–V G characteristics were extracted using TCAD tools. Obtained SS value is 102.09 mV dec−1, while the I ON was 3.02 × 10−4 A. The memory window was 2.95 V, showing more dependence on programming pulse height (V gp) than erasing pulse height (V ge). Furthermore, 10-year retention characteristics were studied to investigate critical reliability issue. About 60% of the initial trapped charges remained in the device after unbiased 3.15 × 108 s (10 years) storage.
Design of controlled temperature test in biochar production furnace automation

This study aims to test the temperature sensor that will be used in the biochar production furnace. Temperature testing is carried out to determine the ability of the sensor to respond to temperature changes that will be applied to the furnace. The sensors used in this system are the K-type thermocouple and the MAX6675 module. Testing is done by forming a control system. The system will be installed in the furnace by providing heating with fire in the furnace. The result of the maximum temperature was 574.25 °C at 575 seconds of heating for 1110 seconds. The test of corelation between the sensor output voltage to temperature when the temperature is raised from the beginning to the maximum, the sensor sensitivity is obtained at 5.1762 mV / °C and the slope of the graph is close to 1. Testing the relationship of the sensor output voltage to temperature when the temperature is lowered from the maximum point, the sensor sensitivity is obtained at 4.878 mV / °C and an offset voltage of 25 mV. The voltage-to-time correlation of the two tests is close to the value of 1, which means that the sensor linearity is very good so that it can be used as a temperature measurement tool.
Image Recognition Technology of Synthetic Aperture Radar

The rapid development of artificial intelligence in recent years, especially the rise of deep learning, provides a new path for radar target recognition. This paper first introduces the development of synthetic aperture radar and deep learning, and then analyzes the challenges and difficulties of deep neural networks. Then the self-encoder is used for target recognition. The model uses self-encoder to realize feature selection and data Manacor to classify the final object. In this paper, the advantages and disadvantages of the model are analyzed, and the improvement ideas are put forward. Finally, the original synthetic aperture radar image is processed by Median filter, mean filter and Gaussian filter. After comparison and analysis, it is concluded that the filtering effect is best when the Median filter size is 22.
On Chain Statistics and Entanglement of Flexible Linear Polymer Melts

A starting point to understand chain entanglement is to thoroughly examine chain statistical behavior. Focusing on the most familiar linear flexible polymers, we show based on the literature data that (a) at the same number n of backbone bonds most flexible linear polymers have comparable coil sizes and are similarly flexible in spite of widely varying chain thickness and (b) there are fewer chains to fill up a given volume if they are of larger chain thickness. Many models have been proposed to relate the onset entanglement molecular weight Me or Mc to chain conformational characteristics. The specific predictions of these models frequently find agreement with various subsets of experimental data, but they have often been regarded to be incompatible with each other because they are derived from different physical considerations. In the present work, we compare the theoretical predictions against the extensively available experimental data on either Me or Mc. The following conclusions emerge from the lite.