Miracle-dz/UniFAR-FTUs huggingface dataset:
EVALUATION OF ANTIOXIDANT AND ANTIINFLAMMATORY PROPERTIES OF THE TRADITIONAL MEDICINAL PLANT,

To evaluate the antioxidant and antiinflammatory effects of methanolic leaf extract of the traditional medicinal plant, Cryptolepis grandiflora. The plant leaves were subjected to solvent extraction by using methanol for obtaining crude extract. The crude extract (9.12g/ml) was tested for assaying antioxidant properties by total antioxidant (ABTS), DPPH, reducing power and metal chelating activities. In addition, inhibition of protein denaturation, proteinase activity and the levels of enzymic antioxidants viz., SOD, CAT and GPx were employed to determine antiinflammatory activity. Methanolic leaf extract was determined to have stronger antioxidant activity by ABTS (2321.4±397.9 μmol TE/g extract), DPPH (35.21% 50 μg/mL and 74.37% 250 μg/mL and IC50 92μg/mL), reducing power (0.231 300μg/mL 0.843 700μg/mL) and metal chelating (20.18% 500μg/mL and 52.03% 900μg/mL) assays in comparison to respective standards. In antiinflammatory study, protein denatturation (91.21% 200 μg/mL and 93.12% 400μg/mL), proteinase inhibition (90.02% – 200 μg/mL and 87.12% 400 μg/mL) and the enzymic antioxidants viz., SOD, CAT and GPx were found to be significantly reduced (p<0.05) the inflammation in animal model. The leaves of Cryptolepis grandiflora is a potential antioxidant and antiinflammatory agent.
A scalable low power vertical memory

An experimental memory array with the capability of operation at cell area below 0.15 /spl mu/m/sup 2/ for the gigabit generation is described. Channel injection through a thin oxide (/spl sime/3 nm) into the floating gate of a vertical transistor allow scalable, ultra-low power, and dense (4-6 square of the minimum pitch) structures that operate with 100 ns write speeds at low voltages, >10/sup 5/ s retention time, and endurance exceeding 10/sup 10/ cycles with no measurable degradation. Non-volatile structures are achieved with a compromise in speed and power. Multiple-self alignment and use of thin film growth, deposition, and etching techniques allow for a significant reduction in the lithography needs.
Optimal Image to Lidar Deep Learning Regression for Height Estimation

We describe a system for estimating pixel heights from a single multispectral RGB image, with or without sensor metadata. System components include an ensemble of convolutional-deconvolutional neural network (CNN) models and an optimization function. The chosen deep learning network model is validated per pixel using high-resolution aerial RGB imagery and lidar datasets. A knowledgebase of historical, time-stamped, multi-modal data for registration and 3D feature classification is provided. Given a large amount of elevation truth data, a model is trained to recognize image features of differing heights using CNN image-to-lidar regression. The models, when applied to an unseen image, estimate a preliminary height per pixel, based on a learned feature set. Multiple models are created and trained end-to-end, and the best model and results are determined. We use linear programming optimization with an ensemble of regression models and semantic segmentation information with a CNN classification model to determine optimized pixel height estimates. Semantic segmentation datasets help classify RGB imagery with feature class labels and refine land use feature classification with CNN classification to improve accuracy. Each land use classified feature can be weighted with a confidence metric that is used to help determine height information. Therefore, we use CNN regression for preliminary height estimation and CNN classification for land use feature classification plus a linear programming reward matrix per pixel to automatically decide optimized height estimation. The rows in the reward matrix contain CNN regression model results from image-to-lidar regression, while columns contain CNN classification model results from RGB imagery. An updated volumetric knowledgebase contains the system output and can be used subsequently for change detection and situational awareness. Both qualitative and quantitative analyses are performed and visualized.
Overview of Network Slicing: Business and Standards Perspective for Beyond 5G Networks

The deployment of fifth-generation wireless commu-nications (5G) networks brought a significant difference in the data rate and throughput to the wireless systems. It ensures ultra-low latency and high reliability. In particular, Network Slicing (NS), one of the enablers for the 5G phase-II and beyond, has opened enormous opportunities for the Communications Service Provider (CSPs). NS allows CSPs to create independent virtual networks in the same physical network to guarantee high service levels. This paper provides an overview of the advances in NS from the perspective of the business opportunities and associated standardization activities. Standardization is critical in research as it intends to maintain interoperability among multi-vendor scenarios in telcos. We emphasize highlighting the technical facets of slicing within the business implementation and industry standardization process. Additionally, we address the application of Artificial Intelligence (AI) and Machine Learning (ML) to NS-enabled future networks deployments. A set of use cases and the underlying specific requirements challenges are discussed as well. Finally, future research directions are addressed in detail.
An optimum ZVS-PWM DC-to-DC converter family: analysis, simulation and experimental results

The authors consider a family of DC-to-DC power converters using the lossless commutation pulse-width-modulation (PWM) source feeding resonant disconnecting circuit cell with resonant cycle interruption (LC-PWM-SF-RDC) to overcome the problems present in quasi-resonant converters (QRCs) and QRCs-PWM. The most important property of this family of devices is the ability to regulate output power and voltage by PWM, with constant operating frequency, without load limitation, and without sacrificing the lossless commutation. The authors present the operating principle and design-oriented analysis, output characteristics, relevant equations, and simulation results. These procedures are validated by a prototype laboratory implementation. <<ETX>>
The influence of planting schemes, norms and inoculants on the yield of new soybean varieties

In this article, data about the new native variety of Nafis and variety of Selekta-302 is described which was brought from Krasnodar region of the Russian Federation in the conditions of irrigated meadow-gray soils of Samarkand region, seed germination in field conditions, storage, growth, development, productivity, yield composition, the optimal planting schemes, norms have been identified and recommended for implementation. In the second experiment, in the conditions of irrigated meadow-gray soils, local Nafis variety and Selekta-302 variety of Krasnodar regions included in the State Register, imported strains of Bradyrhizobium japonica endogenous bacteria produced in our republic and aboriginal populations bacterium present in local soil. The results of the study on the effect of inoculants studied and their effect on plant development, the number and weight dynamics of stems formed in plant roots, crop structure, yield, weight of 1000 seeds, as well as their effectiveness are described.
CASE STUDY FOR WORK STRUCTURING: INSTALLATION OF METAL DOOR FRAMES

Work structuring means developing a project’s process design while trying to align engineering design, supply chain, resource allocation, and assembly efforts. The goal of work structuring is to make work flow more reliable and quick while delivering value to the customer. Current work structuring practices are driven by contracts, the history of trades, and the traditions of craft. As a result, they rarely consider alternatives for making the construction process more efficient. To illustrate current practice and the opportunities provided by work structuring, this case study discusses the installation of metal door frames at a prison project. Because the project is a correctional facility, the door frame installation process involves a special grouting procedure which makes the installation process less routine. Those involved recognized the difficulty of the situation but better solutions were impeded by normal practice. This case study thus provided the opportunity to illustrate how one may come up with alternative ways to perform the work without being constrained by contractual agreements and trade boundaries. By doing so, we illustrate what work structuring means. Local and global fixes for the system comprising walls and doors are explored. In addition, we discuss the importance of dimensional tolerances in construction and how these affect the handoff of work chunks from one production unit to the next.
Application of Safety Project Interview Data to a Cyclical Research Model of Translation

There is growing debate over the need for academic research to produce applied. For example, funding agencies, such as the National Institute of Occupational Safety and Health (NIOSH) are emphasizing direct relationships with industry, and the need to contain research methods that are targeted, useful, and mutually beneficial. Applied academic research does not always translate into successful industry practice, let alone adoption, and vice versa. Many studies have explored barriers based on either academic or industrial variables, or both. Several attempts have been made to analyze barriers and propose solutions to address the translation of applied research into practice. One previously designed model, by researchers from the Royal Melbourne Institute of Technology (RMIT) and Virginia Tech, in particular, considers translation as an iterative approach to establish research-to-practice-to-research (r2p2r) as a “translational research model,” creating an iterative relationship between academia and industry. While this model is currently theoretical in nature, this work proposes a process for collecting, translating and demonstrating reliability of data, along the previous r2p2r cycle, for 9 in-depth interviews of applied safety research pilot projects. Ultimately, this work is to set the stage for further insight into impediments and fragmentation between academic research and industry adoption in practice.
Characteristic of Tidal Currents in the Lombok Strait Using 3D FVCOM Numerical Model

The Lombok Strait located between Bali Island and Lombok Island, Indonesia. Lombok Strait is complex area because influence by Indonesian Throughflow and influence by Tidal Current. For this case want to research about tidal current circulation and simulated using a three-dimensional baroclinic hydrodynamic numerical modelling method by Finite Volume Coastal Ocean Model (FVCOM). The study was simulated during 1-year on 2004, February. The model just simulated by barotropic condition and only influence by elevation tide in open boundary. The verification of ocean current (u and v components) from the model compare with observation data has a high coefficient of determination, i.e., 0.9, respectively. This verification result shows good agreement between model and observation data. For the result model, in the Lombok strait dominant influence by M2 semidiurnal component from Indian Ocean and K1 diurnal component from Pacific Ocean. The current circulation in the near surface dominant movement pattern from southern to northern. On the other hand, for the vertical current in 100 – 600 meter is different with near surface. The current movement from northern to southern. In the sill area have upwelling phenomenon in the north side of the sill and downwelling in south of the sill.
The relationship between Oceanographic Parameters and Fish Larvae Dispersal in the Fisheries Management Area of the Republic Indonesia (FMA) 717

Cendrawasih Bay and the Pacific Ocean are known as potential fishing areas and as fish spawning locations in Fisheries Management Area 717. Larval dispersal in the waters is strongly influenced by oceanographic parameters. This study was conducted to examine the relationship between oceanographic parameters and fish larval dispersal in FMA 717. This research was conducted using KR Bawal Putih III in November 2019. A number of 42 stations were determined for observation. Environmental parameters included temperature, salinity, dissolved oxygen, chlorophyll-a, turbidity, and photosynthetic active radiation (PAR), were measured using SBE 19 plus V2 CTD while pelagic fish larvae were collected using a bonggo net. Analysis of the correlation of oceanographic parameters with pelagic fish larvae abundance and spatial distribution was calculated using PCA (Principal Component Analysis) statistical analysis. The results showed that the pelagic fish larvae was influenced by temperature, salinity, PAR, chlorophyll-a, turbidity, and DO. Temperature and salinity have a direct interaction to the abundance of pelagic fish larvae.
New multifunction OTA-C biquads

Some novel multifunction biquadratic filters, each of which employs two to three operational transconductance amplifiers and two capacitors, are presented. Each proposed circuit offers the following advantageous features: realization of different biquadratic filter signals from the same configuration, no requirements for component-matching conditions, employment of only two capacitors, control of /spl omega//sub o/ and /spl omega//sub o//Q, with separate tunable transconductances and low sensitivities.
Minimal timelike surfaces in a certain homogeneous Lorentzian 3-manifold (II)

The 2-parameter family of certain homogeneous Lorentzian 3-manifolds which includes Minkowski 3-space and anti-de Sitter 3-space, is considered. Each homogeneous Lorentzian 3-manifold in the 2-parameter family has a solvable Lie group structure with left invariant metric. A generalized integral representation formula for minimal timelike surfaces in the homogeneous Lorentzian 3-manifolds is obtained. The normal Gauss map of minimal timelike surfaces and its harmonicity are discussed. M.S.C. 2010: 53A10, 53B30, 53C30, 53C42, 53C50.
Perceived risk, trust, and democracy

Risk management has become increasingly politicized and contentious. Polarized views, controversy, and overt conflict have become pervasive. Riskâ€ perception research has recently begun to provide a new perspective on this problem. Distrust in risk analysis and risk management plays a central role in this perspective. According to this view, the conflicts and controversies surrounding risk management are not due to public ignorance or irrationality but, instead, are seen as a side effect of our remarkable form of participatory democracy, amplified by powerful technological and social changes that systematically destroy trust. Recognizing the importance of trust and understanding the â€œdynamics of the systemâ€ that destroys trust has vast implications for how we approach risk management in the future.
Lifestyles and their impact on Depression

Quick Response Code Abstract: Depression is a major mental health disease and a leading cause of disability. It is estimated that almost 10% of the world‘s population suffer from depression at some time during their life. Major depressive disorder is diagnosed in most patients suffering from depression. It is diagnosed by the presence of a cluster of five symptoms, present within a 2-week period4. These symptoms should occur independently of physical illness, normal bereavement, alcohol or drugs: abnormal depressed mood; abnormal loss of interest and pleasure; appetite or weight disturbance; sleep disturbance; disturbance in activity (agitation or slowing); abnormal fatigue or loss of energy; abnormal self-reproach or inappropriate guilt; poor concentration or indecisiveness; and morbid thoughts of death or suicide The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition requires that one of the symptoms should be either a depressed mood or anhedonia (loss of interest or pleasure). Secondary symptoms may be appetite or weight changes, sleep difficulties (insomnia or hypersomnia), psychomotor agitation or retardation, fatigue or loss of energy, diminished ability to think or concentrate, feelings of worthlessness or excessive guilt, and thoughts or actions of suicide. The etiology of depression is multifactorial5. Besides the emotional suffering and the social repercussions, depression is often a comorbid condition with several major chronic ailments, like cardiovascular diseases and diabetes mellitus. It deleteriously impacts these ailments and increases premature mortality. Several lifestyle behaviors have a mitigating effect on depression. These include non-smoking, abstinence or low to moderate alcohol intake, a normal body mass index, avoidance of sedentary behavior and regular exercise, and eating a healthy diet. These lifestyles also favorably impact other co-existing diseases.
Trace base metals, petrography, and alteration Tres Hermanas stock, Luna County, New Mexico

Zinc, lead and minor copper-bearing replacement and vein-type deposits occur in Paleozoic sedimentary rocks and Tertiary volcanic rocks adjoining the Tres Hermanas granitequartz monzonite stock, Luna County, New Mexico. In an attempt to prove or disprove a possible genetic relationship between these mineral deposits and the stock, 99 grid samples from the stock and 22 soil samples from a re-entrant alluvial valley were analyzed for trace contents of zinc, lead and copper. Thirty-four grid rock samples were petrographically studied and modal analyses calculated and alteration products estimated. Trace metal zinc, lead and copper anomalies are spatially related to each other. Zinc and lead anomalies are almost congruent with less agreement with low-level copper anomalies. A close spatial relationship exists between anomalous trace concentrations of zincleadcopper in the stock and external hydrothermal deposits in Paleozoic sedimentary rocks and Tertiary volcanics. The ratios of highest zinc, lead and copper concentrations in the anomalies of the stock show general agreement to the ratios of production of these same metals from the adjacent mineral deposits. Alteration appears to be a general requisite for trace metal anomalies within the stock. A relationship also appears to exist between certain primary petrographic textures and the anomalies of zinc, lead and copper suggesting a possible late magmatic or deuteric origin for at least one stage of the development of the anomalies. Yet, in combination with rock alteration, a two-phase or continuous-phase origin of the anomalies appears likely. The isolated character of the trace metal anomalies, their patterns within the stock, the decrease in, the magnitude of the anomalies near the stock contacts marginal to mineralized zones, and primary petrographic textures and alteration features associated with the anomalies, suggest that the source of the geochemical anomalies and the mineral deposits was the stock. In the alluvial area north of the stock, geochemical anomalies of zinc, lead and copper suggest possible nearby sources of metal in the bedrock.
Image Segmentation for Reflected-Light Microscopy: Some Theoretical Approaches

Often when we approach the study of lithologies coming from the urban environment, but in general, even from any other environment, be it a quarry, a mine, an outcrop of our interest, the first study we carry out is the one in reflected-light optical-microscopy. Reflected-light microscopy in respect to transmitted-light microscopy requires minimal sample preparation, having to polish a single surface and without the need to thin the samples to allow light to pass through them. It may be useful, already in the first analysis, to try to produce quantitative data on what we are observing. A further advantage of reflected light in an urban environment is that of being able to observe and describe the formation or interaction between opaque minerals and the environment. Information that we lose by passing directly to the transmitted light. The information that can be useful to us and that we can obtain are the relative porosity of the sample, the texture (when easily recognizable in reflected light), the maximum size and shape of the edges of the grains. To all this is added the relationship between the areas of the different crystallites identified and the possible background mass, which cannot be solved on the observation scale. When we are dealing with many samples, we do not always have the time to be able to study individually sample by sample through images, so we resort to the use of image analysis tools for image segmentation and analysis. Among these, the main thresholding method with the Otsu method, the segmentation with the k averages algorithm, and, finally, a neural network of the SOM type. In this short work, we will review the main methods of image segmentation plus an innovative method developed by our group, highlighting its strengths and weaknesses.
Overview of Existing Waste Processing Techniques in Small Islands of Pulo Aceh, Seribu, Karimunjawa and Wakatobi

Indonesia is an archipelagic country with more than 17,000 islands scattered across the country. Unique ecosystems, such as mangrove and coral reefs that have a very important ecological function, can be found in coastal area along with highly diverse species. Coastal area is also place for many major cities, while small islands became tourist destination. Human activities in these areas have generated pressure to the coastal resources and environment sustainability, (e.g.: the emerging unmanaged waste in major cities and tourist destination, which leaked to the ocean, then drifted, dispersed, and stranded in other shores). This study aims to identify various waste management practices in selected sites of small islands (e.g.: Pulo Aceh, Seribu, Karimunjawa, Wakatobi), where they have limited resources to managed waste. The result indicated that waste management practices in each place are vary, adjusted with their specific condition (e.g.: total population, daily waste generation, and availability of waste processing technology). Local community have adopted number of techniques to manage domestic waste, as well as stranded marine debris in their island. Based on the field observation, the key success factors of waste management in small islands will depend on the involvement of local community, good collaboration among stakeholders, also output of waste processing practice should bring direct and indirect benefit for the society, low-cost, and eco-friendly.
Design and fabrication of ultra-small overlapped AWG demultiplexer based on α-Si nanowire waveguides

A novel layout for an ultra-compact arrayed-waveguide grating (AWG) demultiplexer is presented. The present layout has two overlapped free propagation regions, and is more compact than a conventional layout. Using αSi-on-SiO2 nanowire waveguides, an ultra-small 4×4 AWG (about 40×50 µm2) with channel spacing of 11 nm is fabricated and characterised.