Miracle-dz/UniFAR-FTUs huggingface dataset:
Antiproliferative activity of standardized herbal phytopreparation from Asclepias subulata [version 1; peer review: awaiting peer review]

Background: Several studies have shown that active compounds of Asclepias subulata (cardenolides) have antiproliferative effect on human cancer cells. Cardenolides isolated from A. subulata can be used as active chemical markers to elaborate phytopharmaceutical preparations. To evaluate the antiproliferative effect of a standardized extract of the aerial parts, based on Asclepias subulata cardenolides. Methods: Four standardized extracts were prepared by HPLC-DAD depending on the concentration of calotropin and the antiproliferative activity was measured for the MTT assay, on the A549, MCF-7, HeLa, PC3 and ARPE cell lines. The concentrations of calotropin used for the standardization of the extracts were 10, 7.6, 5 and 1 mg/dL. Results: Standardization of the A. subulata extract based on calotropin at 7.6 mg/g dry weight was achieved and the antiproliferative activity was evaluated over A549, HeLa and MCF-7 cell lines, obtaining proliferation percentages of 3.8 to 13.4% . Conclusions: The standardized extracts of A. subulata at different concentrations of calotropin showed antiproliferative activity against all the cell lines evaluated. The greatest effect was observed against the HeLa cell line. with 0.1% formic acid) at a flow rate of 7 mL/min 4 . The run was monitored at 30 min. The identification of the chromatographic peaks was performed using addition of compound isolated in the previous step. ESI-IT-MS/MS spectra were obtained with a LTQXL Thermo Scientific spectrometer (ionization mode: negative or positive, scan range: 150 – 2000 m/z, voltage: – 13 kV, heated capillary temperature: 280°C, sheathgas:10 μ a, auxiliarygas:10 μ a) (San Jose, CA, USA). The NMR experiments were performed on a Bruker Advance 600 MHz equipment, and the samples were processed using CD3OD as the solvent using one and 2D techniques (DEPTQ, HMBC, HSQC, and TOCSY) to confirmation of the structures of the isolated compounds. The calibration curve was prepared using the standard addition method, with seven different concentrations of calotropin (0.3-1 mg/mL) and the values were projected in graph using the PRISMA 5. Considering the IC 50 of the in vitro antiproliferative activity observed in our previous works, 5 four standardized extracts were prepared by HPLC-DAD depending on the concentration of calotropin and the antiproliferative. The concentrations of calotropin used for the standardization of the extracts were 10, 7.6, 5 and 1 mg/dL, taken by previous studies. 4,5
Research on Control Strategy of Super Capacitor Energy Storage System in Traction Elevator

To improve the overall efficiency of modern building elevator, an active regenerative braking converter using a bidirectional Buck-Boost converter is implemented. The converter is connected in parallel to the inverter DC-bus. Energy is stored in a set of super capacitors during regeneration and it is transferred back to the DC-bus when the elevator accelerates. The control strategy of the storage system with super capacitors is proposed. In order to validate the effectiveness of the proposed method, the simulation model of the elevator system has been built up. Simulation results show that the control strategy can achieve recycling and reuse of regenerative energy in traction elevator. Keywords—Efficiency; Bukc-Boost; super capacitors; control strategy
Different Forms of Welfare Provision for Diverse Suburban Fabrics: Three Examples From Italy

Over the last 20 years, suburbanization has gradually turned into a key topic of analysis, whereas welfare policies have faced a significant public reconfiguration towards the local scale of provision and the development of local welfare systems. Combined in such a way, these two statements tell us little, and they appear to be separate and without any relation. This article aims at building the analytical and research interplays between these two topics. In so doing, the article addresses the governance and planning of local welfare services in suburbs, entwined with the post-suburban theoretical frame. By identifying the issues at stake—that is, the governance of welfare and services—the analysis investigates the uneven socio-spatial polarizations that are currently emerging in metropolitan areas. The research bridges a research gap between the unevenness of the suburban expansion and the changing provision of welfare services. The article discusses these insights with three Italian cases from the edges of the three main metropolitan areas: Milan, Rome, and Naples. The empirical discussion, which relies on the outcomes of qualitative fieldwork activities, discusses and compares the differentiation of welfare provision and the relevant diverse “suburban societies” amongst the three contexts. Through this focus, the article points out that a heterogeneous and unequal spatial distribution of basic services and social infrastructures is to be found amongst the constellation of towns located on the outskirts of an urban core.
ENHANCING MAINTENANCE AT A CASTING FOUNDRY MANUFACTURING COMPANY: CASE STUDY

The research study sought to determine thestrengths and weaknesses of the current maintenance practices at a sandcastings manufacturing company. Casting Co Ltd is principally a ferrous foundrywhich produces grey and white iron. The research suggested good practices whichcould be taken on board and could beimproved. This can be used by other foundry industries to enhance theiroperations for maintenance efficiency to save on resources to improveoperational bottom line.
Status of Essential Elements in Soil and Grain of Organically Produced Maize, Spelt, and Soybean

Organic agriculture offers many benefits through the increased nutritional quality of produced crops, agro-ecosystem preservation, and climate change mitigation. The development of an efficient nutrient management strategy in low-input systems, such as organic agriculture, which supports soil fertility and essential nutrients absorption by crops, is continually exploring. Thus, a study with maize–spelt–soybean rotation during a 5-year period in organic production was established to evaluate the variability in soil organic matter (SOM) and the status of available elements: N, P, K, Ca, Mg, Fe, Cu, Mn, Zn, and Si from the soil, as well as grain yield (GY) and the content of protein, P, K, Ca, Mg, Fe, Cu, Mn, Zn, and Si concentration in the grain of spelt, maize, and soybean. Significant variations in mineral elements in the soil, GY, and grain composition were detected. Spelt achieved the highest average GY, while soybean grain was the richest in a majority of examined nutrients. The soil Ca content was important for GY, while the protein level in grain was generally tied to the Mn level in the soil. It was recognized that soil–crop crosstalk is an important strategy for macro- and micro-nutrients management in the soil and grain of organically produced spelt, maize, and soybean. While a reduction in the GY and protein concentration in grain was present over time, it was established that a low-input system under dry-farming conditions supports nutrient availability and accumulation in grain, under semi-arid agro-ecological conditions of central Serbia.
A Comparative Analysis on indoor positioning Techniques and Systems

Positioning objects has been an important topic since it is needed to locate people, guide them to a certain place, and assist companies and organizations with their assets management. Several techniques and algorithms were proposed to solve the positioning problem and to enhance existing systems. In general, one of the several existing wireless standards such as Infrared, RFID, Bluetooth or Wi-Fi is chosen as the target standard for indoor positioning. This paper provides an overview of the existing wireless indoor positioning solutions and attempts to classify different techniques and systems. Comprehensive performance comparisons including accuracy, precision complexity, scalability, robustness, and cost are presented.
APPREHENSION OF UTMOST ENERGY EXTRACTION FROM SOLAR MODULES

The modular cascaded multilevel topology allows you to certainly enhance the efficiency and flexibility of PV systems. There's 2 kinds of cascaded inverters. Each PV module offers a unique electricity/electricity ripping tools, combined with the modules employing their connected converters remain connected in series to create a greater electricity current, that's presented to a simplified electricity/ripping tools. To know better usage of PV modules while growing the solar energy extraction, a distributed maximum power point tracking control plan's acquainted with both single- and three-phase multilevel inverters, which supports independent control of each electricity-link current. For A Lot Of-phase grid-connected programs, PV mismatches may introduce unbalanced provided power, resulting in unbalanced grid current. This paper presents a modular cascaded H-bridge multilevel solar (PV) inverter for single- or three-phase grid-connected programs. To solve this issue, control plan with modulation compensation may also be recommended. An experimental three-phase seven-level cascaded H-bridge inverter remains built utilizing nine H-bridge modules. Each H-bridge module pertains to some 185-W solar energy. Simulation and experimental solutions receive to be sure the functionality within the recommended approach.
What Are Stem Cells?-Review Paper

Abstract: Modern medicine has moved by leaps and bounds throughout recent years to literally make sciencefiction part of our day-to-day reality. Undoubtedly one of the biggest breakthroughs was the discovery of stemcells, which was followed up in a breathtaking fashion by report after report of their promise, so much so thatan almost miraculous scenario seems to be infolding in front of the world’s eyes. Stem cells are classified mainlyby their source into three basic types: Embryonic, umbilical and adult stem cells. Each differ in their plasticityand could thus potentially be used for different medical purposes. However, for this to be possible, labtechniques for collecting, culturing and pe rhaps even transdifferenciating different stem cells need to be studiedand outlined, ideally while having a good background of the mechanisms underlying the processes f odifferentiation and transdifferentaition, with all the various combinations of growth factor cocktails needed forthe cell culture to be viable commercially and the individual and additive effect of each ingredient on theresultant culture.
Inducción de la lactancia en ganado Holstein con dosis reducidas de benzoato de estradiol y sin suplementar progesterona exógena

Lactation induction in cattle is an alternative way to increase the life span of cows with reproductive and productive issues that would otherwise be culled. An alternative lactation induction protocol is proposed. This 21-d protocol takes advantage of endogenous progesterone production and uses low doses of estradiol to stimulate udder growth and function. Holstein cows (n= 5) and heifers (n= 4) were injected with 500 mg of somatotropin on days one, eight, fourteen, and twenty-one. Estradiol benzoate (3-10 mg d-1) was applied from day one to fourteen. Cloprostenol (500 µg) was administered to the animals am and pm on d 1, and from d 18 to 21, they were injected dexamethasone (5 mg d-1). The cows and heifers were milked for the first time on d 22. Exogenous progesterone was not supplemented, but lactation protocol began in the diestrus phase of the estrous cycle and GnRH was injected to induce formation of an accessory corpus luteum. Lactation induction was successful in all animals, milk production ranged from 18.3 to 25.5 kg d-1. In conclusion, endogenous progesterone production in combination with reduced doses of estradiol benzoate is sufficient to induce lactation in Holstein cattle.
Robust and accurate normal estimation in 3D point clouds via entropy-based local plane voting

This paper introduces a robust and accurate normal estimation method for 3D point clouds. Our proposed technique is also robust towards noise and is capable of preserving sharp features in the input model. Our method presupposes that the normal of a point can be constituted from at least one in the normal set from the planes in its neighborhood, and its core idea is based on a local plane voting strategy, where each vote takes the entropy value and plane credibility into consideration. In addition, the average fitting residuals and the plane density are designed to further effectively deal with noise and non-uniformly sampled point clouds. The validity and reliability of our approach are confirmed by contrast to the most relevant state-of-the-art methods and by comprehensive experiments on synthetic and real-world data.
Cytotoxic Activity jof Dialium Guineense Wild (Fabaceae) Fruit and Stem Bark Methanol Extracts and Fractions

Background: Cancer is a disease characterized by uncontrollable multiplication and spread of abnormal forms of the body’s own cells. Due to the challenges of orthodox drugs other treatment options are being investigated. Dialium guineense has found ethnomedicinal application in the management of various ailments including cancer. Objectives: To evaluate the cytotoxic activity of D. guineense fruit and stem bark extracts using preliminary and confirmatory methods. Material and method: Preliminary screening was carried out on the extracts using bench-top assay methods for cytotoxicity involving the use of tadpoles of Raniceps ranninus (20-200 µg/mL) and growth inhibition with radicle of Sorghum bicolor seeds (1-30 mg/mL). The extracts were further tested on a breast cancer cell line (AU 565) at 50 μg/mL using 3-(4, 5- dimethylthiazol-2-yl)-2, 5-diphenyl tetrazolium bromide (MTT) assay. Solvent partitioning of the stem bark extract was carried out using chloroform and the resulting fractions subjected to biological testing. Results: The stem bark extract showed 100 % mortality at 40 µg/mL in the tadpole lethality assay while the fruit showed no mortality. The aqueous fraction of the stem bark extract was also more active than the chloroform fraction with an LC50 of 32.4 μg/mL. A concentration dependent effect was observed in the growth inhibitory test using S. bicolor with 67.92 and 49.06 % reductions obtained for the stem bark and fruit extracts respectively. The chloroform fraction produced the highest anticancer effect with 46.55 % inhibition against AU 565 cell line. Conclusion: D. guineense stem bark has cytotoxic potential and is a good candidate for further in vivo anticancer studies.
Quality Assessment of Central University Websites Designing in India through Web Engineering

In the present day scenario the World Wide Web (WWW) is an important and popular information search tool. It provides convenient access to almost all kinds of information – from education to entertainment. It also makes global information available at our fingertips. In fact it is felt necessary that the website shall adhere strictly the W3C guidelines to achieve optimum web design and promote quality of websites so as to make the website safer and user friendly and to address the possible reduction of down load waiting time of web pages. This paper thus studies and assesses the quality of web design with reference to the Central Universities in India about their status of Quality and user friendliness. The research paper analyses the aspects and issues of web design and to suggest the improvements required to optimize the web design and to become more user friendly.
Innovative Technologies And Modern Facilities In Beekeeping

This article discusses the features of the application of innovative technologies in beekeeping. The authors, based on years of personal experience in beekeeping and learning experience of the best apiaries in Russia and abroad, summarized materials on the topic and offered advanced modern technology in beekeeping to apply, which was successfully tested in other apiaries.
eMBB and URLLC Service Multiplexing Based on Deep Reinforcement Learning in 5G and Beyond

In 5G, eMBB services are defined to support high data rate, while URLLC services focus on low latency and high reliability. Multiplexing these two services on the same wireless radio frequency leads to a challenging radio resource allocation problem due to their heterogeneous requirements. In this paper, we formulate this problem as two non-linear programming non-convex optimization subproblems, aiming to maximize the average data rate of all eMBB services while satisfying the delay constraint of each URLLC service. We propose an event-driven deep reinforcement learning (DRL) based resource allocation mechanism (EDRL-RAM), which includes two schedulers: eMBB scheduler and URLLC scheduler to achieve long-term optimization of eMBB and URLLC performance. The eMBB scheduler will intelligently allocate resource for each incoming eMBB event, and the URLLC scheduler will intelligently distribute the incoming URLLC event during the ongoing transmissions of eMBB services. The proposed EDRL-RAM makes full use of four different DRL techniques to deal with stochastic event arrivals and network conditions, namely Policy Gradient (PG), Deep Q-learning Network (DQN), Advantage Actor Critic (A2C), and Deep Deterministic Policy Gradient (DDPG), in both eMBB and URLLC schedulers. The simulation results show that in our proposed EDRL-RAM, the order of data rate and delay performance is DDPG, A2C, DQN, and PG. The data rate and delay performance of the proposed EDRL-RAM utilizing any of the four DRL techniques are better than SAFE-TS, which is the best available related work.
Modeling Vehicular Traffic Shock Wave with Machine Learning Approaches

The current trend of transforming old cities into smart cities has revealed many issues of the modern cities. One of the issues is the prevailing traffic jam on highways of the modern cities. The vehicular shock wave has been a problem on highways since it is one of the main causes of the traffic jam. The combination of heavy traffic and small traffic perturbations or unexpected driver actions are the main causes of shock waves. In order to alleviate road traffic caused by shock waves, it is crucial to have a system that predicts shock waves and informs them to the drivers. In this dissertation, we analyzed 6 months of freeway traffic data of Los Angeles, CA, provided by CalTrans PeMS (Performance Measurement System) and obtained the vehicular shock wave propagation speed of each freeway. Based on this information, we propose a machine learning approaches to predict shock waves. We utilize Hidden Markov Model (HMM) to predict if the shock wave will occur and propagate based on neighboring lanes' traffic information. Addtionally, HMM is used to estimate the probability of lane change from one lane to other lanes based on the occupancy of a lane. Baum-Welch algorithm is used to predict the parameters (occupancy and state). We also utilized Deep Learning (DL) in order to predict the shock wave occurrence and propagation. We compared Stacked AutoEncoder (SAE), Deep Belief Networks (DBN), and HMM for the accuracy of the prediction of shock wave occurrences and propagation. These approaches have been tested on the same PeMS data sets and achieved good accuracy. In the future, our models will be used to include modern collision prevention techniques (e.g., anti-shock wave strategies) to test their efficacy and help to reduce the number of potential accidents and save energy in the process. Also, our models can be used to improve traffic simulators to provide driving patterns that are close to real human's.
Practicability study on the suitability of artificial, neural networks for the approximation of unknown steering torques

ABSTRACT For steer-by-wire systems, the steering feedback must be generated artificially due to the system characteristics. Classical control concepts require operating-point driven optimisations as well as increased calibration efforts in order to adequately simulate the steering torque in all driving states. Artificial neural networks (ANNs) are an innovative control concept; they are capable of learning arbitrary non-linear correlations without complex knowledge of physical dependencies. The present study investigates the suitability of neural networks for approximating unknown steering torques. To ensure robust processing of arbitrary data, network training with a sufficient volume of training data is required, that represents the relation between the input and target values in a wide range. The data were recorded in the course of various test drives. In this research, a variety of network topologies were trained, analysed and evaluated. Though the fundamental suitability of ANNs for the present control task was demonstrated.
The Influence of Speed and Strength Indicators on the Coordination Abilities of 13-14-Year-Olds with Different Typologies

The children's health is one of the significant issues of the families, schools and governments all over the world. Considering the importance of their health, the aim of this research is to designate the emergence of speed and power abilities in children aged 13–14 years on their coordination abilities. By using a tapping test, the strength of the nervous system is diagnosed, and Speed-strength abilities were determined by arm strength, torso strength, leg strength. Furthermore, coordination abilities were determined by using a test called the "shuttle run 3x10" test. The results of the tests and research indicate that the control group improved by 2-6% and there were more significant changes in the experimental group. Indicators enhanced by 11-17%. The study concluded that if you perform exercises to develop the speed and strength qualities of children aged 13-14 during physical education lessons at school, these indicators will improve coordination abilities.
Yeast culture (Saccharomyces cerevisiae) and its active metabolites affect the cecal microbiome of broilers

Yeast cultures (YCs) are defined as promising feed additives that maintain the health of birds and improve growth performance by modulating gut microbiota. YCs contain effective metabolites such as glycine, fructose, inositol, galactose, and sucrose. This study investigated the effects of YCs and their effective metabolites on carcass traits and cecal microflora in broilers. A total of 280 one-day-old mixed-sex Arbor Acres broilers were randomly allocated to seven groups. The basal diet (control DZ) was supplemented with various proportions of glycine, fructose, inositol, galactose, and sucrose (Groups A, B, and C), 24-hour grown Saccharomyces cerevisiae cultures (Group D) (YC), and a commercial yeast culture product (SZ) at concentrations of 0.1% and 1% (Groups E and F). Bodyweight of broilers was correlated positively with proportions of Proteobacteria in Group C and Lactobacillus and Roseburia in Group B (P <0.05). Broilers fed diets supplemented with YC or its active metabolites had the highest proportions of bacteria involved in nucleotide metabolism, and amino acid and carbohydrate metabolism. These results suggested that the dietary addition of YC could alter the proliferation of beneficial bacteria in broilers.