Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination of nutrient content, β-carotene, and antioxidant activity of Moringa oleifera extraction using organic solution

Objective: The research was conducted to determine β-carotene and antioxidant activities and screening of phytochemical substances of Moringa oleifera extraction using organic solution. Materials and Methods: 550 gm of M. oliefera leaf flour was macerated. This research was conducted by laboratory experiments using the maceration method. The extraction was performed using three kinds of solvents, which are n-hexane, ethyl acetate, and methanol; for 3 x 24 h, they were concentrated with a rotary evaporator. Then, the flavonoid, phenolic, β-carotene isolation, and antioxidant tests were conducted using the 2,2-diphenyl-1-picrylhydrazyl on each fraction (n-hexane, ethyl acetate, and methanol). Results: The results of weighing each concentrated extract from the maceration process of each fraction (n-hexane, ethyl acetate, and methanol) were 12.67, 35.67, and 49.29 gm, with the total phenolic content (1.4595 ± 0.361, 46.5489 ± 1.832, and 39.74574 ± 0.786) and total flavonoid content of each fraction (3.3056 ± 0.039, 58.6389 ± 2.051, and 48.9056 ± 0.0809), respectively. The antioxidant activity test on the crude extract from the ethyl acetate fractionation showed that the IC50 value was 30.309 mg/ml. The ethyl acetate fraction has a high total phenolic and flavonoid content. The results of the isolation of β-carotene from M. oleifera leaf flour were 0.4798 gm, or equivalent to 0.956% carotenoids. Conclusions: Based on the results of the research, M. oleifera leaves are identified to have a fairly high antioxidant activity, which is 30.309 mg/ml, resulting from the potential compounds in M. oleifera leaves that function as inhibitors of antioxidant activity, which are the groups of phenolic and flavonoid compounds.
Ambophily in Olea ferruginea: a transitional state in the pollination syndrome

Abstract A number of plants species believed to be wind pollinated (anemophilous) are actually pollinated both by wind as well as insects (ambophily) because all the traits of the two pollination modes have not evolved simultaneously. Comparatively few angiosperms exhibit ambophily and the significance of such a mechanism is not fully understood. During the present investigation, ambophily was studied in Olea ferruginea, over a period of three years. It is an andromonoecious and out-crossing tree species of the olive complex. The species is predominately pollinated by wind because it shows fruit set even when the insect pollinators were excluded. Moreover, a substantial amount of pollen was observed on the body parts of insect visitors and, comparatively, fruit set was enhanced in open-pollinated flowers receiving insect visitors. Floral structure of O. ferruginea displays floral traits favoring both wind and insect pollination. Furthermore, the flowers of this species were found to be visited by 20 insect species classified under three orders with Diptera and Hymenoptera being the leading pollen foragers. The results of linear regression of the hanging slide experiment showed that the dispersal of pollen grains decreased significantly with increasing distance from the canopy and the pollen density increased significantly with an increase in insect activity. The present work provides an insight to understand the ecological and evolutionary adaptations and consequences of spatio-temporal variation in plant – pollinator interactions. It is, therefore, useful for addressing both basic and applied questions in community structure and function including the evolution of floral traits, reproductive assurance, and the development of optimal conservation strategies.
User-centric approaches for collecting Facebook data in the ‘post-API age’: experiences from two studies and recommendations for future research

ABSTRACT Although other social media platforms have seen a steeper increase in users recently, Facebook is still the social networking site with the largest number of users worldwide. A large number of studies from the social and behavioral sciences have investigated the antecedents, types, and consequences of its use. In addition or as an alternative to self-reports from users, many studies have used data from the platform itself, usually collected via its Application Programming Interfaces (APIs). However, with the drastic reduction of data access via the Facebook APIs following the Cambridge Analytica scandal, this data source has essentially become unavailable to academic researchers. Hence, there is a need for different modes of data access for what Freelon (2018) has called the ‘post-API age’. One promising approach is to directly collaborate with platform users to ask them to share (parts of) their personal Facebook data with researchers. This paper presents experiences from two studies employing such approaches. The first used a browser plugin to unobtrusively observe Facebook use while users are active. The second asked participants to export and share parts of their personal Facebook data archive. While both approaches yield promising insights suitable to extend or replace self-reports, both also entail specific limitations. We discuss and compare the unique advantages and limitations of both approaches and provide a list of recommendations for future research.
Prediction of Retail Price of Sporting Goods Based on LSTM Network

Commodity prices play a unique role as a lever to regulate the economy. Price forecasting is an important part of macrodecision-making and micromanagement. Because there are many factors affecting the price of goods, price prediction has become a difficulty in research. According to the characteristics that price data are also affected by other factors except for time series, a multifactor LSTM price prediction method is proposed based on the long-term and short-term memory network (LSTM) deep learning algorithm. This method not only makes use of the memory of LSTM to historical data but also introduces the influence of external factors on price through the full connection layer, which provides a new idea for solving the problem of price prediction. Compared with BP neural network, the experimental results show that this method has higher accuracy and better stability. Analyze the commodity description and commodity price characteristics, find out the commodities similar to the target commodity, complete the commodity price data by using the historical price data of similar commodities, and establish the training set to verify the validity of the proposed method.
Object Detection and Classification in 3D Point Cloud Data for Automated Driving

A 3D LIDAR provides 3D surface information of objects with the highest position accuracy, among available sensors that can be utilized to develop perception algorithms for automated driving vehicles. In terms of automated driving, the accurate surface information gives the following benefits: 1) the accurate position information that is quite useful itself for collision avoidance is stably provided regardless of illumination condition, because the LIDAR is an active sensor. 2) the surface information can provide precise 3D shape-oriented features for object classification. Motivated by these characteristics, we propose three algorithms for a perception purpose of automated driving vehicles based on the 3D LIDAR in this dissertation. A very first procedure to utilize the 3D LIDAR as a perception sensor is segmentation that transform a stream of the LIDAR measurements into multiple point groups, where each point group indicate an individual object near the sensor. In chapter 2, a real-time and accurate segmentation is proposed. In particular, Gaussian Process regression is used to solve a problem called over-segmentation that increases False Positives by partitioning an object into multiple portions. The segmentation result can be utilized as input of another perception algorithm, such as object classification that is required for designing more human-likely driving strategies. For example, it is important to recognize pedestrians in urban driving environments because avoiding collisions with pedestrians are nearly a top priority. In chapter 3, we propose a pedestrian recognition algorithm based on a
A novel compact self‐similar fractal UWB MIMO antenna

A novel compact self‐similar fractal ultra‐wideband (UWB) multiple‐input‐multiple‐output (MIMO) antenna is presented. This fractal geometry is designed by using iterated function system (IFS). Self‐similar fractal geometry is used here to achieve miniaturization and wideband performance. The self‐similarity dimension of proposed fractal geometry is 1.79, which is a fractional dimension. The antenna consists of two novel self‐similar fractal monopole‐antenna elements and their metallic area is minimized by 29.68% at second iteration. A ground stub of T‐shape with vertical slot enhances isolation and impedance bandwidth of proposed MIMO antenna. This antenna has a compact dimension of 24 × 32 mm2 and impedance bandwidth (S11 < −10 dB) of 9.4 GHz ranging from 3.1 to 12.5 GHz with an isolation better than 16 dB. The various diversity performance parameters are also determined. There is good agreement between measured and simulated results, which confirms that the proposed antenna is acceptable for UWB applications.
UNTAGGED MUTATION IN RICE GAL 4 / VP 16 TRANSCRIPTIONAL ACTIVATOR FACILITATED-ENHANCER TRAP LINES

An enhancer trap system is an insertional mutagenesis based upon gene expression, instead of gene knock-out, so its insertion in genome is expected not linked to any dramatic changes in plant phenotypes. Gene knock-out, leading to lossof-function (LoF) mutation, is a dominant approach for rice functional genomic studies. The objective of this study was to find out whether Transcriptional Activator-Facilitated Enhancer Trap (TAFET) T-DNA insertion inducing mutant phenotypes in rice TAFET population. Materials used in this experiment were T 1 generation of 270 rice TAFET lines. Eight plants of each were grown in the greenhouse and observed for any mutant phenotypes . Phenotypic, histochemical, Southern blot analyses were carried out to define a mutant of pSKC66.18e. Result showed that about 10% of the 270 lines produced chlorophyll-deficient leaves, ranged from yellowish green (viridis), white stripe green (zebra-like stripe) to completely white (albino). Albino plants died after two weeks, whilst white stripe or viridis mutants became normal in the next generation (T 2 ). Another mutant was pSKC66.1-8e line which had floral dramatic phenotype change with various spikelet shapes and number of organs, and had a single twisted culm. The flower of mutant also had gus gene expression. Plants with wild type did not express gus gene and had six or more straight culms. Molecular, histochemical and phenotypic analyses of this particular line for three generations indicated that mutant phenotype was not due to the T-DNA insertion. Since there was approved that Tos17 is activated during tissue culture and induced mutant phenotype, this line might relate to Tos17 insertion, but it needs further investigation to gain such conclusion. [
Impacts of COVID-19 on Life in Different Countries: A Systematic Review

Currently, the challenge for WHO and many countries are finding effective drugs to defeat the virus or vaccines that can be used in healthy individuals to prevent them from becoming infected. As there is no effective drug or vaccine, the best procedures currently are control of the source of infection, early diagnosis, isolation, and supportive care. For individuals, good personal hygiene and avoiding crowded places will help to prevent Coronavirus infection. The main purpose of conducting this study is to provide information, descriptions, ideas/ideas about the impact of COVID-19 on people's lives in various countries based on reference sources, both international journals, novels, textbooks, and reports. The writing of this Systematic Review uses the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) method which is carried out systematically by following the stages or procedures of the Systematic Review. The impact of the pandemic in Asia is more sensitive than in countries in the Australia/Oceania region or the European region. Middle-income and low-income countries need to be more prudent in managing the COVID-19 pandemic to have better or equal effectiveness with developed or high-income countries.
Wavelet-based extreme learning machine for distribution grid fault location

Precise knowledge of faults is very exigent to reduce the outage duration as most of the customer minute losses in distribution grids occur due to longer period of interruptions caused by faults. This study proposes a fault location technique combining advanced signal processing and machine learning tools for distribution grids. The proposed technique decomposes three-phase currents measured from sending end employing wavelet transform (WT) and collects useful features to fetch them as inputs of extreme learning machine (ELM). Satisfactory values of the selected statistical performance measures validate the efficacy of proposed fault location technique. Besides, the efficacy of support vector regression (SVR) and artificial neural network (ANN) are also tested employing the WT extracted features. The presented results show the superiority of ELM-WT technique over SVR-WT and ANN-WT techniques in terms of the selected performance measures and training times. Additionally, the proposed technique is independent of fault resistance, inception angle, the presence of measurement noise, thermal expansion/contraction of the distribution line and pre-fault loading condition. Furthermore, the hybrid method detects and classifies different types of faults before locating them with different machine learning tools.
PROTOCOL: Gender transformative approaches in agriculture for women's empowerment: A systematic review

Abstract This is the protocol for a Campbell systematic review. The objective of this systematic review is to assess the effectiveness of interventions with gender transformative approach (GTA) components in improving women's empowerment in low‐ and middle‐income countries, and to curate evidence on the mechanisms through which GTA works to improve women's empowerment in agriculture.
Professional Development Needs Reported by General Education Teachers at Inclusive Private Christian Schools

Abstract As Christian schools offer inclusive education programs for students with significant cognitive disabilities, it is crucial that teachers have access to quality professional development (PD). The purpose of this study was to survey teachers at three inclusive Christian schools about their attitudes and beliefs toward inclusive education, as well as their reported PD needs through the framework of High Leverage Practices (HLPs). Findings suggest that teachers report the most PD needs in the HLP areas of teaching, behavior, scaffolding, resources, comprehension, and progress monitoring. Implications for practitioners and suggestions for future research are included.
Compact broadband electronically controllable SIW phase shifter for 5G phased array antennas

This work presents a novel compact and broadband electronically controllable substrate integrated waveguide (SIW) phase shifter intended for beamsteering applications in antenna arrays for 5G wireless communication. The proposed phase shifter is designed to operate over a large bandwidth (26 GHz–32 GHz) with a simulated maximum insertion loss of less than 3 dB and a maximum phase difference of more than 100°+5° over the entire band. The phase shift is provided via metal posts which are switched between capacitive and inductive loading through beam-lead PIN diodes.
Assessment of future wind speed and wind power changes over South Greenland using the Modèle Atmosphérique Régional regional climate model

Wind is an infinitely renewable energy source that is not evenly distributed in space and time. The interconnection of energy‐demanding and energy‐resourceful (yet remote) regions would help prevent energy scarcity in a world where fossil fuels are no longer used. Previous studies have shown that South Greenland and West Europe have complementary wind regimes. In particular, the southern tip of Greenland, Cape Farewell, has gained growing interest for wind farm development as it is one of the windiest places on Earth. In order to gain new insights about future wind speed variations over South Greenland, the Modèle Atmosphérique Régional (MAR), validated against in situ observations over the tundra where wind turbines are most likely to be installed, is used to build climate projections under the emission scenario SSP5‐8.5 by downscaling an ensemble of CMIP6 Earth System Models (ESMs). It appeared that between 1981 and 2100, the wind speed is projected to decrease by ~−0.8 m·s−1 at 100 m a.g. l. over the tundra surrounding Cape Farewell. This decrease is particularly marked in winter while in summer, a wind speed acceleration is projected along the ice sheet margins. An analysis of two‐dimensional wind speed changes at different vertical levels indicates that the winter decrease is likely due to a large‐scale circulation change while in summer, the katabatic winds flowing down the ice sheet are expected to increase due to an enhanced temperature contrast between the ice sheet and the surroundings. As for the mean annual maximum wind power a turbine can yield, a decrease of ~−178.1 W is projected at 100 m a.g. l. Again, the decrease is especially pronounced in winter. Considering the very high winter wind speeds occurring in South Greenland which can cut off wind turbines if too intense, the projected wind speed decrease might be beneficial for the establishment of wind farms near Cape Farewell.
Methylacyl Coenzyme A Racemase as a Tissue Biomarker for Prostate Cancer

PROSTATE CANCER AFFECTS 1 OF 9 men older than 65 years and is a leading cause of cancerrelated death in men, second only to lung cancer. While the advent of prostate-specific antigen (PSA) screening has led to earlier detection of prostate cancer, the impact of PSA screening on cancer-specific mortality is unknown, pending the results of prospective randomized screening studies. A major limitation of the serum PSA test is a lack of prostate cancer sensitivity and specificity, especially in the intermediate range of PSA detection (4-10 ng/mL). Coincident with increased serum PSA testing, there has been a significant increase both in the number of prostate needle biopsies performed and in the number of equivocal prostate needle biopsy specimens. Thus, development of additional serum and tissue biomarkers to supplement PSA screening is needed. Molecular profiling establishes a new perspective in the study of cancer. Recent studies have suggested that it is possible to study cancer with a global perspective, taking advantage of DNA and protein microarrays as “windows” into the expressed human genome. Several groups recently impleAuthor Affiliations: Departments of Pathology (Drs Rubin, Zhou, Dhanasekaran, Varambally, and ChinnaiyanandMrBarrette),Urology (DrsRubin, Sanda,Pienta, and Chinnaiyan), Internal Medicine (Dr Pienta), and Biostatistics (Dr Ghosh) and Comprehensive Cancer Center (Drs Rubin, Sanda, Pienta, and Chinnaiyan), University of Michigan Medical School, Ann Arbor. Financial Disclosure: The University of Michigan has filed a patent application for using -methylacyl coenzyme A racemase messenger RNA transcript andpolypeptide as diagnostic biomarkers of prostate cancer in prostate tissue samples. Corresponding Authors and Reprints: Mark A. Rubin, MD, and Arul M. Chinnaiyan, MD, PhD, Department of Pathology, University of Michigan Medical School, 1301 Catherine Rd, Ann Arbor, MI 481090602 (e-mail: marubin@umich.edu or arul@umich .edu). Context Molecular profiling of prostate cancer has led to the identification of candidate biomarkers and regulatory genes. Discoveries from these genome-scale approaches may have applicability in the analysis of diagnostic prostate specimens.
Leveraging virtual reality (VR) for sports public relations and sports journalism: qualitative analyses of VR content productions for ‘Russia 2018’ and ‘Qatar 2022’ FIFA World Cups

ABSTRACT Advancements in experiential media (EM) technologies, particularly virtual reality (VR), a subset of EM, can transform the ways public relations (PR) professions tell stories about a brand, organization, or mega-events. In the context of sports, PR content productions utilize various qualities of EM to offer immersive at-home, arena-like experiences for sports spectators. However, considering the novelty of such EM tools, limited studies have focused on how and the extent to which PR and sports journalistic content productions use VR technologies. In this qualitative content analysis, we examine how and the extent to which VR is utilized in pre-game YouTube VR contents produced for the FIFA World Cups 2018 and 2022. We analyzed YouTube VR contents produced by Russia Today (RT) in the buildup to ‘Russia 2018’ hosted by Russia, in comparison with pre-game YouTube VR contents produced by the Road To 2022, in view of the upcoming ‘Qatar 2022’. Through qualitative analyses, we identified four broad thematic categories: stadium design, technology, facilities, and locality, as well as many sub-themes through observations and memos from all the seventeen YouTube VR content productions considered for the study. This study adds to the theoretical discussions on the role VR plays in sports journalism and sports PR and provides practical recommendations on the use of virtual reality during the COVID-19 pandemic.
Unsupervised Localization of Shapes Using Statistical Models

In this paper, we present a coherent Markov model for deformations of shapes based on the statistical distribution of the gradient vector field of the gray level and a probabilistic model for reduction of dimension. This allows us to infer the posterior distribution of deformations given the data. The localization of a shape in an image is then viewed as the minimizing of the corresponding Gibbs field. We use a stochastic optimization algorithm in order to find the optimal deformation, firstly with a simpler Gibbs field and then on the complete Gibbs field. This yields an unsupervised method for localization of shapes, provided that the image is not prohibitively too complex.
Performance of Holstein calves receiving equal solids per day from high-solids milk and milk replacer blend once or twice daily combined with dry versus wet fine-particle starter diet

Graphical Abstract Summary: Feeding a similar amount of nutrients via a once-daily versus a twice-daily feeding program based on a blend of milk and milk replacer resulted in a reduction in calf growth rate before weaning, but also doubled calf birth weight by weaning. The addition of water to dry fine-particle starter feed increased the starter intake only after weaning. Feeding solutions with a high osmolality, as used in a once-daily program, should be used with caution because they may increase the risk of abomasal bloat.
Swing Up and Balance Control of Planetary Train Type Pendulum with Fuzzy Logic and Energy Compensation

A planetary train type pendulum is considered in this paper, swing up and balance control is of concern. Due to that the sun gear is not directly connected to the planetary gear, an accelerated-speed profile is required to provide necessary driving torque. In this paper, a fuzzy logic control scheme is considered. Particularly, an energy compensation scenario is proposed so that stabilizing equilibrium can be preserved regardless of the initial positions. Compared with conventional energy-based method, the proposed fuzzy controller provides better control performance with short transition period and disturbance-free.