Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic Diversity of Three Medicinal Plants of Apiaceous Family

Lots of debates has been risen up about the genetic rapport among species of Apiaceae family. Till now there is no quite suitable contemporary categorization at hand. This study aimed at sequencing the 18S ribosomal RNA gene (ITS gene) in three plants in this family, namely; Apium graveolens, Petroselinum crispum and Coriandrum sativum. This is to see if there is any genetic variation among them. Briefly, the plants were collected and their DNA was extracted, exposed to PCR amplification and Sangar sequencing to determine the genetic sequence of the 18S rRNA gene of each specie and compare it with a reference gene from the gene bank. The results showed that the gene was 99% identical with that of the standard of the gene bank for each of the Coriandrum sativum and Apium graveolens. While the percentage was100 % for Petroselinum crispum. This suggests that the mentioned gene was identical in the three species and excludes the incidence of any significant variation within this gene.
Structure and Abundance of Fusarium Communities Inhabiting the Litter of Beech Forests in Central Europe

Members of the genus Fusarium and related genera are important components of many ecosystems worldwide and are responsible for many plant diseases. However, the structure of beech litter-inhabiting Fusarium communities and their potential role in reducing the natural regeneration of European beech are not well understood. To address this issue, we examined Fusarium communities in the litter of uneven-aged, old-growth beech-dominated forests in the Carpathians (Poland) and in the Alps (Austria), and in a managed beech stand (Poland). The fungi inhabiting beech litter were investigated using beechnuts and pine seedlings as bait. The pathogenicity of the most common species was investigated by inoculating beech germinants. Fusarium spp. were identified based on morphology and DNA sequence comparisons of RPB2 and TEF1-α genes, combined with phylogenetic analyses. Twelve fungal species were identified from 402 isolates, including nine known and three currently undescribed species. The isolates resided in three species complexes within the genus Fusarium. These were the F. oxysporum (one taxon), F. sambucinum (three taxa), and F. tricinctum (six taxa) species complexes. In addition, one isolate was assigned to the genus Neocosmospora, and one isolate could be placed within the genus Fusicolla. The most frequently isolated fungi from beechnuts and beech germinants were F. avenaceum (Fr.) Sacc. , F. sporotrichioides Sherb. and Fusarium sp. B. The structure and abundance of species within Fusarium communities varied by beech forest type. The species richness of Fusarium spp. was greatest in old-growth beech-dominated stands, while abundances of Fusarium spp. were higher in managed beech-dominated stands. Pathogenicity tests showed that all four Fusarium species isolated from beechnuts and beech germinants could cause germinants to rot beech, suggesting that these fungi may play a negative role in the natural beech regeneration.
Reducing electrical energy consumption for a child wearable exoskeleton suit using a new mechanical design

This study explores the feasibility of a novel mechatronic structure for exoskeleton child system designed to facilitate standing, walking, and stair climbing of paraplegic children, this design based on an actuated hip and passive knee. The main objective of this design is reduce the electrical energy consumption and increase the batteries charge time. A solenoid used to maintain the standing of the exoskeleton and control the motion of the knee joint and algorithm implemented to control the total motion of mechanical structure. In the First portion, the mechatronic design presented and detailed through the mechanical design and electronic circuit. Second, the control algorithm presented including the algorithm of control and the interactive human machine interface. Finally, a simulation in Matlab presented to conclude and approve the energy reduction of the mechanical design.
The Security Challenges in Cloud IoT-A Review

Internet-of-Things (IoT) has made ubiquitous computing a reality through extending Internet connectivity in numerous applications deployed throughout the globe. The combination of IoT-based cloud structures included with smart systems that offer smart objectives and programs are a promising future trend. Cloud computing is tremendously efficient, storage is becoming more and more vast, and a few groups are now changing their data from in house data to Cloud Computing Vendors' hubs. As a result, a few new classes of safety and privacy problems are introduced. This paper provides security problems relating to the IoT cloud.
Performance Evaluation of Automotive Exhaust Gas Waste-Heat Recovery module using Thermo- electric Generator

The research is based on data analysis into the configuration of a thermoelectric generator device that can be installed on the IC engine exhaust tube, i.e., to collect the volume of waste heat from the exhaust by producing temperature difference in the generator using the concept of thermoelectric conversion. The arrangement of staggered fins was applied to both the heat sink and the heat absorber. The staggered pin-fin is inserted into the duct to form the heat absorber since the duct is mounted at the engine's exhaust so that heat flows into the heat absorber continuously. By increasing thermoelectric conversion, the staggered fins on the heat absorber may increase the heat-exchange surface area. In order to analyse the relationship between available power and projected power output, empirical results are obtained.
Association between Chronic Obstructive Pulmonary Disease Severity and Platelet Values

Objectives: To investigate the association between platelet values and COPD severity using linear variables in order to better explain and explore these correlations. Methods: This is a cross-sectional study performed with patients from the ABC Medical School Pulmonary Rehabilitation Outpatient Clinic, male or female, over 40 years of age with previous COPD diagnosis. The following clinical data was collected: serum platelet count and mean platelet volume, spirometric parameters and the responses from St. George’s Respiratory Questionnaire, which is an instrument designed to measure the impact on overall health, daily life, and perceived well-being in patients with COPD. Results: Transversal analysis of data revealed a moderate correlation between platelet number and post-bronchodilator Tiffeneau index (p = 0.031), with effect size of 37.55%. Also, an association tendency was shown between the number of severe or unpleasant respiratory events in the last three months and higher values of MPV (p = 0.085), with effect size of 29.20%. Conclusion: The systemic and hypoxemic inflammatory condition established in COPD has an influence on megakaryiocytopoesis, promoting an increase in platelet turnover and MPV. Since MPV is a marker of platelet activation and responds to the same stimulus that lead to thrombocytosis, it can be a more sensitive index than platelet count, and thus can be used as an early marker of lung severity. Based on our results, we can infer that COPD, likely by means of the inflammatory pathways involved, may impact platelet counts and MPV values. That seems to be especially true for patients with better response to bronchodilators, which favors the hypothesis of inflammatory involvement.
NGO mobilisation around the SDGs

NGOs ARE MOBILISING AROUND THE SDGs NGO mobilisation is required to ensure the Sustainable Development Goals (SDGs) are implemented at the national level. This study investigates how NGOs mobilise in European countries, with a special focus on France and Germany, in order to encourage action and to identify obstacles and ways forward. It appears that although NGOs are increasingly aware of the SDGs and have started to take dedicated action on them, this mobilisation is still biased towards development organisations and, more generally, towards organisations working on international issues.
Investigation of the Effect of Hall, Hall Constant and Density on Conductors (Silver, Copper and Tungsten)

Effect of Hall is the most applied issue in materials science. The purpose of this paper is to investigate the effect of Hall on conductive metals such as silver, copper, and tungsten. Dimensions of the copper sheet (83mm × 25mm × 20μm) and dimensions of the silver sheet (25mm × 83mm × 43μm) and dimensions of the tungsten sheet (82mm × 20mm × 30μm) were investigated, as a result, the Hall voltage sign was positive in silver and tungsten and negative in copper. The reason for the negative sign of Hall voltage in silver and tungsten is that the hole carriers overcome the electron carriers and in copper, the electron carriers overcome the hole carriers. Due to the magnetic field of 200mT, then the Hall constant is 8 × 10 mV TA for silver and −6.56 × 10 mV TA for copper. According to the symbol, the constant of Hall in silver and tungsten are p-type and for copper is n-type. Also, due to the current passing through the semiconductor in the amount and changing the magnetic field for the silver and copper samples, the Hall constant is obtained 7.84 × 10 mV TA and − 7.24 × 10 mV TA , respectively. The carrier densities are 7.89 × 10 1 m3 for silver and 9.06 × 10 1 m3 for copper obtained.
Assassin: an Automatic claSSificAtion system baSed on algorithm SelectIoN

The increasing complexity of data analysis tasks makes it dependent on human expertise and challenging for non-experts. One of the major challenges faced in data analysis is the selection of the proper algorithm for given tasks and data sets. Motivated by this, we develop Assassin, aiming at helping users without enough expertise to automatically select optimal algorithms for classification tasks. By embedding meta-learning techniques and reinforced policy, our system can automatically extract experiences from previous tasks and train a meta-classifier to implement algorithm recommendations. Then we apply genetic search to explore hyperparameter configuration for the selected algorithm. We demonstrate Assassin with classification tasks from OpenML. The system chooses an appropriate algorithm and optimal hyperparameter configuration for them to achieve a high-level performance target. The Assassin has a user-friendly interface that allows users to customize the parameters during the search process
Paleomagnetic evidence for a Tertiary not Triassic age for rocks in the lower part of the Grober-Fuqua No. 1 well, southeastern Albuquerque Basin

A sedimentary sequence penetrated in the lower part of the Grober-Fuqua #1 well in the southeastern Albuquerque Basin has previously been interpreted as either Triassic or Eocene in age. Paleomagnetic study of three specimens from two core fragments yielded a 54.5° mean inclination of remanent magnetization relative to bedding. This inclination is like that expected in Tertiary time and is distinct from an expected low-angle Triassic inclination. Although the data are very few, when considered in combination with stratigraphic relations and the presence of a gravity low in this southeastern part of the basin, the paleomagnetic evidence favors a Tertiary to more than 4,270 m (14,000 ft) in the basin centers (Lozinsky, 1994; May and Russell, 1994). Throughout most of the Albuquerque Basin, the thickest sections of Santa Fe Group correspond to areas of deep lows on gravity maps (Cordell, 1976; Birch, 1982). An apparent exception is located in the southeastern part of the Albuquerque Basin east of the Rio Grande (eastern part of the Belen sub-basin), where an extensive, north-south elongated, >20-mGal gravity low was intersected by the 1,920-m(6,300-ft-) deep GroberFuqua #1 petroleum exploration well (Fig. 1). Interpretations of well data (Fig. 2) indiage for strata in the lower part of the GroberFuqua #1 well.
PostCENN: PostgreSQL with Machine Learning Models for Cardinality Estimation

In this demo, we present PostCENN , an enhanced PostgreSQL data-base system with an end-to-end integration of machine learning (ML) models for cardinality estimation. In general, cardinality estimation is a topic with a long history in the database community. While traditional models like histograms are extensively used, recent works mainly focus on developing new approaches using ML models. However, traditional as well as ML models have their own advantages and disadvantages. With PostCENN , we aim to combine both to maximize their potentials for cardinality estimation by introducing ML models as a novel means to increase the accuracy of the cardinality estimation for certain parts of the database schema. To achieve this, we integrate ML models as first class citizen in PostgreSQL with a well-defined end-to-end life cycle. This life cycle consists of creating ML models for different sub-parts of the database schema, triggering the training, using ML models within the query optimizer in a transparent way, and deleting ML models.
Effect of Protecting Proteins from Degradation in the Rumen on Single Volatile Fatty Acid of Al Awassi Lambs

The present experiment was carried out to investigate the effect of different percentages (50 and 100%) of dried whey powder and sun flower meal treated with blood or formaldehyde on Single Volatile Fatty Acids (Acetate = C2), (Propionate = C3), (Butyrate = C4) and (C2 : C3) in lambs fattening diets. The results showed significant increase (P < 0.05) in (Butyrate) and insignificant effect in (Acetate), (Propionate) and (C2 : C3) for dried whey powder treated with blood or formaldehyde compared sun flower meal treated with blood or formaldehyde, While There was insignificant effect in (Acetate), (Propionate), (Butyrate) and (C2 : C3) for dried whey powder treated with blood in percentages 100% compared sun flower meal treated with blood in percentages 100%, and there was significant increase (P < 0.05) in (Butyrate) and insignificant effect in (Acetate), (Propionate) and (C2 : C3) for dried whey powder treated with blood in percentages 50% compared sun flower meal treated with blood in percentages 50%, and significant increase (P < 0.05) in (Butyrate) and insignificant effect in (Acetate), (Propionate) and (C2 : C3) for dried whey powder treated with formaldehyde in percentages 100% compared sun flower meal treated with formaldehyde in percentages 100%, and significant increase (P < 0.05) in (Butyrate) and insignificant effect in (Acetate), (Propionate) and (C2 : C3) for dried whey powder treated with formaldehyde in percentages 50% compared sun flower meal treated with formaldehyde in percentages 50%.
Technology Acceptance Model (TAM) and E-Learning System Use for Education Sustainability

In higher education around the world, e-learning is considered a necessary teaching and learning solution. Despite its value and success, there are quite a few questions about how to use it and how powerful it is. Universities are grappling with issues of e-learning use by students and even academic personnel in order to ensure the long-term viability of schooling. This research uses an updated TAM paradigm to look at students' adoption of e-learning in university, which includes seven constructs: computer self-efficacy, subjective norm, perceived enjoyment, perceived usefulness, perceived ease of use, attitude towards use, and behavioral intention to use e-learning system for education sustainability. As a result, the research methodology for this thesis was an expanded variant of the Technology Acceptance Model (TAM), and quantitative data collection and interpretation techniques were used to sample 174 university students who were selected by stratified random sampling. Student responses were sorted into eight research constructs and evaluated using structural equation modeling (SEM) to describe their plans to use an e-learning system for educational sustainability. Computer self-efficacy (CSE), subjective norm (SN), and perceived enjoyment (PE) were found to be major determinants of perceived ease of use (PEU) and perceived usefulness (PU). Students' intentions to use an e-learning system for educational sustainability were influenced by PEU, PU, and attitudes toward use. As a result, the frameworks were effective in demonstrating Saudi university students' plans to use an e-learning system for educational sustainability.
Entropic Segregation at Surfaces of Polymer Melts

Throughout recent years, polymers have been one of the most widely used materials in industry due to their suitability to a vast variety of fields from construction to biomedical and technological utilities. Their extensive and broad range of applications, demands the ever increasing necessity for extensive insight into the behavior and properties of this group of materials. Whilst some aspects of this demand can be addressed through experiments, the inherent difficulties and restrictions of studying polymeric systems with greater degrees of complexity, have motivated researchers to discover alternative means of examining these cases of interest effectively. The advent of polymer theory as well as the development of appropriate computer simulation techniques have proven to be invaluable sources of new insight. With the ever increasing use of polymeric materials in industrial applications, such as highly efficient coatings and adhesives, an in-depth knowledge of their behavior close to surfaces is needed. Moreover, for the development of effective materials, an accurate understanding of their physical properties such as their surface tension is also required. In this light, our goal is to study the surface behavior of polymers melts, whether they be monodisperse or polydisperse. The study of the former system, which is a melt composed of chains of a single length, is more attractive theoretically as a basis for a comprehensive study of influential parameters. However, in reality, most polymeric materials are polydisperse, hence motivating the detailed assessment of both. Surfaces behave as reflecting boundaries for the most part but violations are seen to occur due to a number of parameters such as the finite width of surface profiles, discreteness of chains as well as excluded volume effects. These result in an excess of end monomers being observed at the surfaces of monodisperse melts and shorter chains segregating to the surfaces of polydisperse ones, from which the surface tension is seen to be affected as well. The source of these migrations could either be enthalpic, with a preference for ends to be closer to surfaces, but also purely entropic which is the case studied here. With the inherent difficulties of experimentally isolating these entropic phenomena, a more successful outcome is obtained through their theoretical study. Hence, for both of the aforementioned systems, we shall be performing mean-field calculations as well as Monte Carlo simulations, in addition to comparing them with universal predicted forms to test their accuracy.
A simple method to evaluate solvent for lubricating oil by solubility parameter

ABSTRACT Oily cold rolling mill sludge is produced in the process of cold rolled strip production inevitably. This work presents a new method for recycling iron particles and cold rolling oil from this oily sludge by solvent extraction. Solvents were predicted through solubility parameters calculated by group contribution method. Average structure of cold rolling oil molecule was characterized with the help of modern analytical techniques. Solubility parameters were calculated in Small, Fedors, Lawson, and Hansen methods. Further experiments were carried out and the results indicated Fedors solubility parameter is more accurate in solvents prediction of cold rolling oil.
Unconventional Entrepreneurship: Women Handicraft Entrepreneurs in a Market-Driven Economy

The objective of this paper is to investigate a unique type of entrepreneurship in women handicraft entrepreneurs. Data were collected from six women handicraft entrepreneurs by using in-depth interviews. Born after the 1980s, they strive for survival in a highly competitive marketplace. They are all passion-driven entrepreneurs. They have to engage in other activities (ranging from teaching handicraft classes to working in another full-time job) to financially support and sustain their handicraft work. It was found that challenges include high rental rates in the city, long product development processes, small market sizes, and insufficient knowledge in digital marketing. Almost all of them are skillful, innovative, and passionate on the artistic side, but reactive and passive on the business side. Measures were suggested to empower such women entrepreneurs in view of the United Nations’ Sustainable Development Goals.
Self-assembly of PEG/dodecyl-graft amphiphilic copolymers in water: consequences of the monomer sequence and chain flexibility on uniform micelles

Self-assembly of hydrophilic poly(ethylene glycol) (PEG) and hydrophobic dodecyl-graft amphiphilic copolymers in water was investigated in detail, by especially focusing on the effects of the monomer sequence and chain flexibility on the size controllability, mobility, and the thermoresponse of micelles. For this, we designed and synthesized PEG/dodecyl graft copolymers with different sequence distributions, backbones, compositions, and chain lengths via controlled or free radical copolymerization: acrylate random, methacrylate/acrylate gradient and bidirectional gradient, and methacrylate random block. Acrylate-based amphiphilic random copolymers produced uniform micelles in water, whose size was determined just by the composition. The flexible acrylate-based micelles had higher mobility of graft PEG and in-core dodecyl units than methacrylate counterparts yet effectively maintained uniform and compact size (∼10 nm) up to a high concentration. Additionally, the sequence distribution critically affected the size controllability of micelles. Gradient or random block copolymers with highly biased and/or locally accumulated hydrophobic monomer segments provided micelles with different sizes and/or broad size distributions. Thus, it was revealed that the random, statistical, and non-biased sequence distribution of hydrophilic and hydrophobic monomers is a key factor to efficiently induce composition-dependent precision self-assembly of PEG/dodecyl-graft copolymers into uniform size micelles in water.
Changes in the total phenol content in the industrial potato peel wastes during the storage.

As a zero value by-product from the economic point of view, potato (Solanum tuberosum L.) peel is a good source of phenols. As a manufacturing waste, potato peels are stored at the uncontrolled conditions and are exposed to the fermentative, oxidative, and microbial degradation. The aim of the present study was to determine the phenol degradation dynamics in the stored peels so the maximum storage time could be defined to achieve the efficient phenol extraction. Three different types of samples were prepared by abrasion peeling method and stored at room temperature, in open air, up to six days. Phenol extracts were obtained using ethanolbased solvent. Total phenol content was expressed as a gallic acid equivalent; antiradical activity was measured using the 2,2-diphenyl-1-picrylhydrazylradical. Results revealed that total phenols during the storage are more stable in the larger peel samples that can be stored up to two days without significant changes in the total polyphenol content and antiradical activity. Finely shredded peel demonstrated significant decrease in the total phenol amount and in the antiradical activity already on the second day of the storage. This fact indicated that in the finely shredded peel samples phenols are easily accessible to the oxidative and fermentative processes. It is possible, that after peeling there were big amounts of chlorogenic acid in the samples. When total amount of polyphenols decreased, chlorogenic acid degraded and caffeic acid was released in sufficient amount to hold antiradical activity of the extract on the high level.