Miracle-dz/UniFAR-FTUs huggingface dataset:
Productivity and Nutritional Trait Improvements of Different Tomatoes Cultivated with Effective Microorganisms Technology

The use of ecofriendly strategies, such as the use of Plant Growth Promoting Bacteria, to improve the yield and quality of crops has become necessary to satisfy the growing demand of food and to avoid the use of chemical fertilizers and pesticides. In this study, we report the effects of an innovative microbial inoculation technique, namely Effective Microorganisms (EM), compared with traditional approaches, on productivity and nutritional aspect of four tomato varieties: Brandywine, Corbarino Giallo, S. Marzano Cirio 3, S. Marzano Antico. Results showed an increase of plant productivity as well as an enhanced antioxidant activity mainly in San Marzano Antico and Brandywine varieties treated with EM technology. Moreover, the polyphenol and carotenoid contents also changed, in response to the plant treatments. In conclusion, the application of EM® technology in agriculture could represent a very promising strategy in agricultural sustainability.
An Efficient Graph-Based Algorithm for Time-Varying Narrowband Interference Suppression on SAR System

Synthetic aperture radar (SAR) as a wideband radar system is subject to complicated interferences, such as radio frequency interference or other narrowband interferences (NBIs). In order to suppress the NBI, voluminous literature focused on its signal models and characteristics, such as the sinusoidal model and relatively constant frequencies. However, in practice, the interference environment is commonly complicated. It is hard to model the interferences accurately and mitigate them clearly in an easy way, especially for the time-varying interferences. In this article, a novel graph-based algorithm is proposed to mitigate the time-varying NBIs by using graph theory, which constructs the connections between different azimuth samples of NBIs. As a result, the locally time-varying interferences can be clustered in a nonlinear low-dimensional manifold and effectively removed by the proposed algorithm. In addition, the case of the globally time-varying interference is also analyzed in detail with strict derivations to demonstrate its low-rank property. Furthermore, the matrix factorization scheme is introduced to improve the efficiency of the proposed algorithm, and the closed-form solutions are derived for each iteration. The real SAR data with measured NBIs are provided to demonstrate the effectiveness and efficiency of the proposed algorithm.
Web-based e-learning Application for learning Arabic language

In today’s digital era, there are still many lecturers who conduct face-to-face meeting using the lecture strategy and using projectors and/or laptops as learning media. This educational model, although using multi-media, still has shortcomings because the interactions that occur during the educational process are limited on two-way interactions between lecturers and students. Learning tends to focus on the lecturer. In addition, learning faces obstacles when lecturers have to leave class because of other jobs outside the city or outside the island and even abroad. This traditional learning model also does not give students the opportunity to learn freely and independently. By considering this fact, the development of an ICT-based education system in a broader sense is urgently needed. It aims to overcome various problems and learning limitations. E-Learning system is an alternative solution to various problems. One of the e-Learning systems which based on computer technology is the use of website. The use of Website in the learning process provides opportunities for students to access learning material at any time and repeatedly so that the students can improve their mastery of learning material. Thus, the presence of lecturers is optional or even non-existent. This is because the parties who take on the role of lecturers are computers, electronic guides designed by content writers, e-Learning Designers, and computer programmers. This article offers website-based learning for Arabic language education study programs that can be used as a substitute for face-to-face learning (online learning).
Resolvina D2 reduz a inflamação hipotalâmica induzida por dieta e reverte o fenótipo obeso em camundongos : Resolvin D2 reduces diet-induced hypothalamic inflammation and rescues the obese phenotype in mice

A inflamacao hipotalâmica induzida pela dieta e um importante mecanismo que leva a disfuncao dos neuronios envolvidos no controle da ingestao alimentar e do gasto energetico. Varias abordagens farmacologicas e geneticas que reduzem a inflamacao no hipotalamo foram utilizadas com sucesso para atenuar os fenotipos obesos e metabolicos associados com o consumo excessivo da gorduras dieteticas. Estudos recentes revelaram que os acidos graxos poli-insaturados, tambem podem reduzir a inflamacao hipotalâmica. Neste estudo avaliamos a presenca e a funcao da RvD2, uma resolvina produzida a partir do acido docosahexaenoico, no hipotalamo de camundongos obesos. Todas as enzimas envolvidas na sintese da RvD2 foram detectadas no hipotalamo e foram moduladas em resposta ao consumo de uma dieta rica em gordura, conduzindo a uma reducao da RvD2 hipotalâmica. GPR18, o receptor da RvD2, presente em neuronios NPY e POMC, tambem foi modulado pela gordura dietetica. A substituicao dietetica de acidos graxos saturados por poli-insaturados resultou num aumento da RvD2 hipotalâmica que foi acompanhada por uma reducao da massa corporal e melhor tolerância a glicose. Alem disso, o tratamento com acido docosahexaenoico intracerebroventricular resultou num aumento da expressao das enzimas que sintetizam a RvD2, no aumento da expressao de citocinas anti-inflamatorias e no fenotipo metabolico melhorado. Finalmente, o tratamento com a RvD2 exogena intracerebroventricular resultou em uma reducao da adiposidade, melhor tolerância a glicose e aumento da expressao hipotalâmica de citocinas anti-inflamatorias. Em conclusao, a RvD2 e produzida no hipotalamo de camundongos e tanto as enzimas que a biossintetizam quanto o seu receptor sao modulados pela gordura dietetica. A melhora do perfil metabolico sistemico induzido pela RvD2 exogena coloca essa substância como uma abordagem atraente para tratar a obesidade e suas comorbidades. Abstract
Comparing the Performance of Lactobacillus delbrueckii and Lactobacillus rhamnosus on The Formation of Lactic Acid from Glucose

For producing lactic acid, it may use pure glucose. Lactic acid is a category in organic compounds, and it has a high sales value since being used in the food processing industry is quite diverse. Lactic acid has also has used in numerous manufacturing fields and that same food industry, including pharmaceuticals, cosmetics, chemicals, and textiles. We can make lactic acid from refined starch and cellulose fermentation materials; lactic acid is a monomer of poly-lactic acid (PLA), the primary ingredient manufacturer of environmentally friendly biodegradable plastic. Variables used in this research include up to 10-60 percent for medium BHM (Bushnell Haas Medium), 40-60 percent for medium MRS (de Man Rogosa and Sharpe), and Lactobacillus delbrueckii and Lactobacillus rhamnosus for glucose concentration. After the fermentation process, we took lactic acid, and absorbance, lactic acid, and glucose levels have measured. The study shows that best-operating conditions are 21 hours of fermentation time. Lactobacillus delbrueckii develops more vital lactic acid from both the media used, BHM, and MRS media.
Optimum Combination of Alphamangostin-Dihydroartemisinin in Vitro as Antimalaria

Drug discovery effort need to be done because of the malaria drug resistance evidence. Against the available ACTs, this resistance also started to develop. Alphamangostin has antimalarial activity and has synergistic effect with dihydroartemisinin. The aim of this study was to look for the optimum ratio of this combination as antimalaria with the lowest IC50 (the most active) and the smallest Sum of FIC50 (the most synergistic effect). Three kinds of stock solution of combination of alphamangostin with dihydroartemisinin were made consisting of: 1) a half of IC50 alphamangostin with a half of dihydroartemisinin, 2) Three quarter of IC50 alphamangostin with a quarter of dihydroartemisinin, 3) a quarter of IC50 alphamangostin with three quarter of dihydroartemisinin. 3D7 clone of Plasmodium falciparum cultivation was treated by each of those stock solutions in various dilution duplicately. Parasitaemia percentage was counted and analyzed by probit analysis to find out the IC50 and the sum of FIC50 of those combinations. It was shown that IC50 and the sum of FIC50 of the first, second, and third combination was 0.0011 microgram/ mL and 0.733; 0.00023 microgram / mL and 0.115; 0.00028 microgram / mL and 0.233 consecutively. It seemed that the second combination was the most ideal combination according its synergistic effect.
The First Coupling of a Laser Beam to a Water Jet

Assigned to a project for designing a laser‐based dental hand tool, Bernold Richerzhagen visualized combining a water jet and a laser for tooth ablation. His dental tool envisioned a laser within a low‐pressure hair‐thin water jet that guided the beam by means of total internal reflection in a manner like an optical fiber. Eventually, this fusion of light and water resulted in a new technology capable of machining hard materials with high precision. Starting with a dental tool developed in a Swiss laboratory in 1993, this invention has fostered high‐precision laser machining in the aviation, diamond and semiconductor industries amongst others.
Isolation And Identification of Secondary Methabolites Compound of Moringa Oleifera Lamk Leaf Acetic Ethyl Extract

This study aims to isolate and identify secondary metabolite compounds in the ethyl acetate extract of Moringa leaves (Moringa oleifera Lamk). This isolation includes several stages, namely extraction, fractionation, purification and identification. Identification includes solubility test, UV-VIS spectroscopy test, FTIR and GCMS. Based on the solubility test results, it is known that the isolate is soluble in ethyl acetate solvent and dissolves well in the chloroform solvent, this shows that the isolate obtained is semi-polar and the compound glows under UV light. UV-VIS spectroscopy test results showed a maximum wavelength of 210.52 nm showing the characteristics of the ester group. FTIR spectroscopy data showed wave numbers (cm-1) namely: 3450.65 (OH alcohol), 2926.01 and 2560.43 (C-H); 1456.26 and 1382.96 (CH2 and CH3), 1722.43 (C=O); 1616.26 (C = C aromatic); 1039,63 (C-O). The result of GC-MS showed molecular weight of compound is 166. From the results of the analysis it was suggested that the isolate was a phenolic group that are 4-hydroxy benzoyl ethyl esthers.
Cooperative self-configuring nature-inspired algorithm for a scheduling problem

One of the crucial challenges related to operational manufacturing planning is an optimal plan search in the current situation using a workflow model. The problem solving is greatly hindered by the rapid growth of the search space with an increase in dimension or the so-called combinatorial explosion. This paper uses two different approaches to solving a hierarchical scheduling problem based on different solution representations. The first approach assumes a search of an optimal project order and then solving of resource-constrained project scheduling problem (RCPSP) for each of the projects using a model based on the greedy principle. In the second approach we are searching for priorities of all actions of all projects and then use them in the process of building a schedule if there are any conflicts when choosing the next action. To solve the problem with both approaches, the paper considers some nature-inspired algorithms such as the intelligent water drops algorithm (IWDs), a genetic algorithm (GA) and ant colony optimization (ACO) as well as a self-configuring version of the last two. The paper shows the efficiency of the application of the coevolution algorithm using IWDs, self-configuring GA and ACO.
An approach based on statistical features for extracting human actions from multivariate time series

Extracting system behavior from the multivariate time series collected by sensors is more challenging. If regarded people as system, the various physical actions can be considered as different states of the system. Our intention was to produce a simple, flexible and accurate method for clustering multivariate time series to obtain the system state. Previously, we proposed a distribution-based state extraction method (DBSE) that can effectively extract motion from the multivar-iate time series of human leg activities. In this paper, we propose an Auto-segmented state extraction method (AS-DBSE) by improving the size of the segmented window to adapt to more complex situations. The method uses vectors composed of statistical feature parameters to represent time series. It uses distance as the similarity measure and clusters these vectors to get the state of the system. We have proved the effectiveness and simplicity of this method through research on human arm activity data. Finally, compared with clustering based on Toeplitz inverse covariance (TICC) and symmetric non-negative matrix factorization (SymNMF), the results of the new method are more satisfactory.
Forward stepwise random forest analysis for experimental designs

Abstract In experimental designs, it is usually assumed that the data follow normal distributions and the models have linear structures. In practice, experimenters may encounter different types of responses and be uncertain about model structures. If this is the case, traditional methods, such as the ANOVA and regression, are not suitable for data analysis and model selection. We introduce the random forest analysis, which is a powerful machine learning method capable of analyzing numerical and categorical data with complicated model structures. To perform model selection and factor identification with the random forest method, we propose a forward stepwise algorithm and develop Python and R codes based on minimizing the OOB error. Six examples including simulation and case studies are provided. We compare the performance of the proposed method and some frequently used analysis methods. Results show that the forward stepwise random forest analysis, in general, has a high power for identifying active factors and selects models that have high prediction accuracy.
Assessment of infrastructure entities’ activity on the insurance market

The paper presents an approach to assessing insurance market infrastructure entities’ activity that allows identifying gaps and weaknesses and seeking ways of addressing them in the context of revitalization of such emerging insurance markets as Ukrainian. To determine the impact of costs of insurance market infrastructure entities on the financial performance before taxes resulting from insurance activity, the regression formula is used. It demonstrates significant dependence between financial performance before taxes of insurers and costs of accident commissioner services. Based on this, an assessment approach for groups of insurance market infrastructure entities is created. The assessment results suggest that the efficiency of insurance market infrastructure entities in Ukraine is unsatisfactory (135 points out of 390). To develop infrastructure entities of the insurance market in Ukraine, it is expedient to ensure an effective regulatory framework for all insurance infrastructure entities, including registers, reporting, and a requirement to disclose information on their performance.
Distribution of endosulfan insecticide residues on intensive shallot agriculture farming in Brebes Regency, Indonesia

Endosulfan is an insecticide from the organochlorine group which was last banned in Indonesia in 2013. Endosulfan is very effective in controlling for organisms pest management and is widely used, including for controlling pest of shallot plants. The objective of the research to determine the distribution of endosulfan residues that has been carried out in three villages representing intensive shallot planting areas in Brebes Regency. The three villages were Wanasari, Siasem, and Pebatan in Wanasari sub-District. Soil sampling was carried out in June-July 2019. The prediction area of the residual endosulfan distribution in the research was 1,853 ha. The analysis of endosulfan residues was carried out in the integrated laboratory of the Indonesian Agricultural Environment Research Institute, using the QuECheRS method. From 14 soil sampling points, eleven of them were detected containing endosulfan residues exceeding Maximum Residues Limit (MRLs) of 0.0085 mg kg−1. The distribution of endosulfan residues was mapping using the spline interpolation method and divided into five categories very low, low, medium, high, very high. Interpolation showed 68.47% of the land experienced very high endosulfan residual pollution (>0.0117 mg kg−1). These results showed that pollute agricultural land need to get priority on land remediation for sustainable agriculture.
The Assessment of the Authenticity and Conservation Status of Cultural Landscapes in Southern Transylvania (Romania)

The vernacular architectural style is on the verge of disappearing in Transylvania because of the depopulation of the Saxon villages of German origin as a result of massive migration to Germany. The nomination of Hărman cultural property on the UNESCO list is part of an international legal framework, and the Convention on the Vernacular Architectural Heritage protects this architectonic style because it represents the expression of a community’s culture, as well as its relations with the territory and cultural diversity. The proposed area includes a 63.47 ha perimeter of the historic centre of Hărman, consisting of a compact group of 260 houses and the entire fortified Evangelical Church. A buffer zone of 290.09 ha is included alongside this area. Thus, we propose that Hărman be nominated for the Cultural Evolutive Landscape Category under cultural criteria ii, iii, and v. The assessment of the authenticity and conservation status of Hărman cultural property was carried out by applying the following criteria: form and design, materials and substances, use and functions, and location and positioning, which apply to the tangible features of the landscape. Furthermore, the evaluation of intangible heritage was achieved by applying the following criteria: traditions, techniques and management system, language and other forms of intangible heritage, spirit, and feelings.
Survival ability of Bacillus cereus LS2B in the presence of tannery wastewater

The leather industry's production activity affects liquid waste containing a high amount of organic and chemical compounds. This study aims to determine Bacillus cereus LS2 B's survival ability in the medium with the presence of fresh untreated tannery wastewater. The growth characterization was made and observed in the agar medium with 0; 25; 50; 75 and 100% tannery wastewater. Growth profile in a liquid medium was observed with the addition of 0; 25; and 50% tannery wastewater. The survival ability of Bacillus cereus LS2B was observed by a visual colony formed in the agar medium, the optical density (OD600) of cell bacteria in the liquid medium, and the cell viability. The growth of Bacillus cereus LS2B could not be confirmed at both solid and liquid medium with tannery wastewater more than 25%. The survival ability and cell activity were observed in the agar medium containing 25% tannery wastewater after incubation time at 48 hours. The growth curve was also observed at a liquid medium containing tannery wastewater at 25% during 36 hours observation since at the 12th hour. Thus, Bacillus cereus LS2B could tolerate up to 25% of fresh untreated tannery wastewater in the solid and liquid medium.
Studies on polycyclic aromatic hydrocarbons in the atmosphere of Waliguan,Qinghai

The gas phase and particle phase polycyclic aromatic hydrocarbons(PAHs)in the atmosphere of Waliguan were investigated consecutively from April 2 to May 23,2005 year.The total PAHs concentration was 7.43~29.96ng/m3.The gas phase PAHs concentration was 7.01~26.10ng/m3,the particle phase PAHs concentration was 0.28~7.84ng/m3,the gas phase PAHs occupied 66.5%~98.8% of the total concentration.The gas-particle partitioning coefficient(Kp)presented good relation with sub-cooled saturation vapor pressure(PL0)(R2=0.67~0.92),slop(mr)all -1.The PAHs concentration in the atmosphere of Waliguan was influenced by the factors of temperature,wind speed,atmospheric temperature inversion layer and atmospheric long-range transport.
Binary options trading: candlestick prediction using Support Vector Machine (SVM) on M5 time period

Many people choose to trade binary options because it is not difficult to understand. They need to predict whether the price will be higher or lower than their open position in a specific timeframe. The most popular timeframe for binary options traders is the M5 (5-minutes). Many traders prefer to use a candlestick chart model to predict. We use SVM (Support Vector Machine) to indicate the next-candlestick based on the previous-candlestick features in this research. This paper uses six features such as Open Value, Close Value, High Value, Low Value, Volume Value, and previous Candlestick Color on each candlestick. The result of the prediction accuracy using SVM is only 56%.
Pluripotent stem cell therapy for retinal diseases

Pluripotent stem cells (PSCs), which include human embryonic stem cells (hESCs) and induced pluripotent stem cell (iPSC), have been used to study development of disease processes, and as potential therapies in multiple organ systems. In recent years, there has been increasing interest in the use of PSC-based transplantation to treat disorders of the retina in which retinal cells have been functionally damaged or lost through degeneration. The retina, which consists of neuronal tissue, provides an excellent system to test the therapeutic utility of PSC-based transplantation due to its accessibility and the availability of high-resolution imaging technology to evaluate effects. Preclinical trials in animal models of retinal diseases have shown improvement in visual outcomes following subretinal transplantation of PSC-derived photoreceptors or retinal pigment epithelium (RPE) cells. This review focuses on preclinical studies and clinical trials exploring the use of PSCs for retinal diseases. To date, several phase I/II clinical trials in patients with age-related macular degeneration (AMD) and Stargardt disease (STGD1) have demonstrated the safety and feasibility of PSC-derived RPE transplantation. Additional phase I/II clinical trials using PSC-derived RPE or photoreceptor cells for the treatment of AMD, STGD1, and also retinitis pigmentosa (RP) are currently in the pipeline. As this field continues to evolve, additional technologies may enhance PSC-derived cell transplantation through gene-editing of autologous cells, transplantation of more complex cellular structures such as organoids, and monitoring of transplanted cells through novel imaging technologies.