Miracle-dz/UniFAR-FTUs huggingface dataset:
The predictiveness of students’ attitude and motivation on their achievement in ESP classes: The mediating role of anxiety

The study investigated the mediating role of anxiety in the predictiveness of students’ attitude and motivation on their achievements in English for Specific Purposes (ESP) classes. A total of number of 424 students at the Faculty of Tourism in a state university in Turkey participated in the study in the Spring Semester of 2017-2018 academic year. The participants were selected randomly on voluntary basis. The data were collected using attitude, motivation and anxiety scales. The participants declared their success scores in the Vocational English Course (an ESP class). The data were analysed using the IBM SPSS 20 with Hayes (2013)’s PROCESS macro. Bootstrapped confidence intervals were used to examine the indirect effect of anxiety on the effect of attitude and motivation on achievement. The results revealed that there was a significant positive relationship between attitude and motivation, between attitude and achievement, and between motivation and achievement. A significant negative relationship was found between anxiety and attitude, motivation and achievement. The results also revealed that attitude predicted achievement positively and anxiety negatively; and that anxiety predicted achievement negatively. Anxiety partially mediated the predictiveness of attitude on achievement. The study found out that motivation predicted achievement positively and anxiety negatively. Anxiety partially mediated the predictiveness of motivation on achievement. Overall, in order to increase achievement, attitude and motivation levels of students should be increased and anxiety levels should be reduced as much as possible. © 2016 IJCI & the Authors. Published by International Journal of Curriculum and Instruction (IJCI). This is an openaccess article distributed under the terms and conditions of the Creative Commons Attribution license (CC BY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Chemonucleolysis with Chondroitin Sulfate ABC Endolyase for Treating Lumbar Disc Herniation: Exploration of Prognostic Factors for Good or Poor Clinical Outcomes

Background and Objectives: Chondroitin sulfate ABC endolyase (condoliase) was launched as a new drug for chemonucleolysis in 2018. Few studies assessed its clinical outcomes, and many important factors remain unclear. This study aimed to clarify the preoperative conditions in which condoliase could be highly effective. Materials and Methods: Of 47 patients who received condoliase, 34 were enrolled in this study. The mean age of the patients was 33 years. The average duration since the onset of disease was 8.6 months. We evaluated patients’ low back and leg pain using a numerical rating scale (NRS) score at two time points (before therapy and 3 months after therapy). We divided the patients into two groups (good group (G): NRS score improvement ≥ 50%, poor group (P): NRS score improvement < 50%). The parameters evaluated were age, disease duration, body mass index (BMI), and positive or negative straight leg raising test results. In addition, the loss of disc height and preoperative radiological findings were evaluated. Results: In terms of low back and leg pain, the G group included 9/34 (26.5%) and 21/34 (61.8%) patients, respectively. Patients’ age (low back pain G/P, 21/36.5 years) was significantly lower in the G group for low back pain (p = 0.001). High-intensity change in the protruded nucleus pulposus (NP) and spinal canal occupancy by the NP ≥ 40% were significantly high in those with leg pain in the G groups (14/21, p = 0.04; and 13/21, p = 0.03, respectively). Conclusions: The efficacy of improvement in leg pain was significantly correlated with high-intensity change and size of the protruded NP. Condoliase was not significantly effective for low back pain but could have an effect on younger patients.
Modelling the dynamics and fragmentation of electric power systems

We have analysed the regular and breakdown dynamics of power grids. In the MANMADE project, we have spent considerable time on formulating a model for this purpose. Such a model should be simple, yet capable of capturing the most fundamental properties of power flow. For the better part of the project, we used the DC load flow model [1]. However, this model turned out to be incapable of taking into account the maximum transmission capacity of power lines correctly. At that point switched to a linear programming model, which proved to be an excellent tool for our investigations. The details of the model is described below in detail.
ANALISA MODEL NAMED ENTITY RECOGNITION TWEET

Abstrak Dalam domain Natural Language Processing (NLP), Named Entity Recognition (NER) menjadi sub bahasan yang banyak dipelajari. Kegunaan NER adalah untuk melakukan klasifikasi terhadap kata kunci pada suatu dokumen. Selanjutnya teknik ini bisa kita terapkan pada data dari twitter untuk tujuan mengekstraksi informasi. Secara umum algoritma NER yang ada telah mampu melakukan proses klasifikasi dengan hasil yang cukup memuaskan, dengan syarat model yang digunakan dibangun berdasarkan domain klasifikasi. Oleh karena itu, implementasi pada data twitter Bahasa Indonesia didahului dengan pembangunan model berdasarkan korpus twitter Bahasa Indonesia juga. Pada penelitian ini kami melakukan analisa terhadap model twitter Bahasa Indonesia yang kami bangung menggunakan algoritma Conditional Random Field (CRF). Model yang kami bangun mampu melakukan klasifikasi dengan nilai rata-rata precision 92,8% dan recall 83,9%. Namun nilai rata-rata ini berpotensi untuk dinaikkan dengan memanfaatkan POS Tagger, dimana dalam penelitian ini digunakan algoritma Hidden Markov Model (HMM).
Bioactivity of cheddar cheese during ripening

Bioactivity in Cheddar cheese is mainly developed during its ripening period. The peptides formed during ripening results the bioactivity. Anti-oxidant, ACE (angiotensin converting enzyme) -inhibitory, anti-microbial, opioid, anti-inflammatory etc. are the various bioactivity found in the Cheddar cheese. In the current study the antioxidant and ACE-inhibitory activity of Cheddar cheese during ripening was studied. Ripening was conducted at 6-9 ̊C for 4 months. The anti-oxidant activity was found to be increased during ripening up to 60 day and thereafter started decreasing, whereas the ACE-inhibitory activity was found highest on 30 day of ripening and thereafter started decreasing. The statistical analysis had shown a significant (P<0.05) effect of ripening period on anti-oxidant activity and ACEinhibitory activity. The increase followed by decrease in bioactivity can be explained as follows, formation of peptides responsible for increasing bioactivity in cheese and further splitting of the bioactive peptides resulting in formation of smaller ones with no or less bioactivity resulting a decrease in bioactivity.
Environmental hydrodynamic modelling applied to extreme events in Caribbean and Mediterranean countries

There has been in recent years an increase in interest and concerns about natural disasters, both in the scientific community and the society, in relation to their frequency and intensity, the association to global warming, and cyclones (hurricanes and medicanes). In this work, two environmental hydrodynamics models are presented. The first model is built for Hurricane Irma that took place in 2017 in the Caribbean and the second for medicane Zorba that took place in 2018 in the Mediterranean Sea. The models were developed using downscaling techniques on the MOHID platform (a free open model developed for hydrodynamic solution). Water surface currents results are presented for regions of interest together with water level variations in Virtual Maregraphic Stations, “Isabella de Sagua” at Sagua de la Grande in Cuba, Key West in USA, Katacolon and “Kalamai” in Greece, all of them located in the trajectory of both cyclones. Promising results on the modeling of the interaction between water and the atmosphere aligned with available open-source data demonstrate the accuracy of inverse problem-based solutions for natural disaster modeling and its potential for drift simulation of floating objects in future studies.
“ Liquid-assisted femtosecond laser ablation of hybrid oxide nanoparticles with potential application in medical imaging diagnosis

Medical imaging technologies such as mammography, magnetic resonance imaging and computed X-ray tomography play a leading role in the diagnosis of breast cancer. However clinical application of this multimodal approach is still problematic due the lack of appropriate commercial contrast agents showing capabilities to distinguish between malignant tumours and benign abnormal masses. Hybrid nanoparticles, which contain in the same structure magnetic and radiopaque elements are a promising alternative for the generation of these multimodal contrast agents due to their unique characteristics, such as: high biocompatibility, contrast enhancement efficacy, cost effectiveness and colloidal stability in the physiological environment. Liquid-Assisted Pulsed Laser Ablation (LA-PLA) of solid target materials has proved as an efficient synthesis method to produce a wide range of stable nanoparticles in a variety of liquid solutions. A major part of this work is production of nanoparticles by femtosecond laser treatment. This method consists in the laser ablation of custom-made ceramic plates of binary mixed metal oxides, FeTaO4, Fe2WO6, FeBiO3, submerged in water or ethanol. Ablation threshold fluences of these target materials could be correlated with the optical interference by laser-generated bubbles. Impact ionization and avalanche breakdown are responsible for the material excitation. There, defect densities play a crucial role in generating free electrons in the conduction bands resulting in avalanche ionization. The decreasing threshold series of FeTaO4 Fe2WO6 FeBiO3 may suggest an increasing defect density with energy levels close to the conduction band edges. This trend is supported by the target morphologies observed by SEM. The evaluation of the NPs focussed on the chemical composition and crystallinity. The deviation of the Fe content of the NPs from the original target materials was negligible with Fe2WO6, FeBiO3 in contrast to FeTaO4 where drastic Fe losses were observed both in water an ethanol. Oxygen losses were detected for all three materials. The nanoparticle morphology correlated well with the observed crystallinity. That means that crystalline NPs exhibited non-spherical shapes. This is observed with FeBiO3 in both liquids. The only difference was, that the majority NP size was greater in ethanol than in water. In contrast, only amorphous NPs were generated in the case of FeTaO4 in both liquids. Only for Fe2WO6, the nature of the fluid shows an influence on the crystallinity: the NPs in water were crystalline and in ethanol amorphous. This morphological and stoichiometric correlations with the chemical nature of the target and the fluid still need further investigations due to the complexity of the ablation process of solids in liquid contact.
LA TAXONOMÍA DEL GÉNERO CEPHALASTOR SOIKA (HYMENOPTERA: VESPIDAE: EUMENINAE), PARTE II

The genus Cephalastor Soika is characterized and its placement in the subfamily Eumeninae is discussed. Four species are described as new: sinusiticus n. sp. , lambayeque n. sp. , estela n. sp. and bossanova n. sp. , new data are given for already known species and the phylogeny of the genus is analyzed.
SPRING POINT DETECTION OF HIGH RESOLUTION IMAGE BASED ON YOLOV3

Abstract. The Xinjiang region of China is a vast and sparsely populated area with complex topography, surrounded by basins and mountains, and its geomorphological features and water circulation process make the traditional spring water resource acquisition time-consuming, labor-consuming and inaccurate. Remote Sensing Technology has the advantages of large scale, periodicity, timeliness and comprehensiveness in target detection. In order to realize the artificial intelligence detection of springs in Xinjiang, this paper presents a method of detecting springs in remote sensing image based on the YOLOV3 network framework, based on the data set of 512 * 512 by using 0.8m remote sensing image annotation, a model of recognition of spring point based on Yolov3 network is constructed and trained. The results show that the map of spring point is 0.973, which is the basis of monitoring and protecting the natural environment in the Belt and Road Initiatives.
Antioxidant effect of combined fruit peel extracts (CFPE) and BHA on the quality and shelf life of Sardinella gibbosa during chilled storage

Effects of combined fruit peel extracts (CFPE) and BHA on the quality and shelf life of sardine (Sardinella gibbosa) during chilled storage were investigated. Total phenolic and total flavonoids contents were found to be 137 mg/g GAE and 111.33 mg/g QE respectively. The DPPH radical scavenging activity of CFPE at 6 μg/mL concentrations was 83.09%, BHA showed at 4 μg/mL concentration was 91.87% of inhibition. Freshly Sardine was assigned to four treatments: control without treatment (CON); sardine treated with 1% CFPE (TCF1) and sardine treated with 3% CFPE (TCF3) and sardine treated with 2 ppm BHA (TB) to retard lipid oxidation in sardine during storage study 3 days at 4±1 ̊C. Changes in lipid were assessed by PV, thiobarbituric acid (TBA). Apart from total volatile base nitrogen (TVB-N), total plate count (TPC). CFPE was found to offer protective effects to certain degree against lipid oxidation.
Differences of Physiological and Biochemical Characters among the Progenies of Erianthus arundinaceus

Ten BC_1 lines of Erianthus arundinaceus and their parents were selected to study the difference of physiological and biochemical characters.The proportion of bound water to free water content in leaves,regarded as a reasonable physiological index to identify drought resistance of sugarcane under normal water suplying,was tested for all the trial materials.Results showed that the proportions of bound water to free water content in all the BC_(1) lines were less than their female parent YC96-40. BC_(1)generation showed lower values of acid invertase activity in leaves compared with the female parent YC96-40,one of the internal and biochemical reasons for the brix and sucrose content were improved rapidly during the backcross process.By cluster analysis,the genetic distance between two parents was large for both on the proportion of bound water to free water content and on proline content in leaves.The genetic distance among most BC_(1) lines and the female parent YC96-40 was larger;for the proportion of bound water to free water content and smaller.
Geo-Electric Evaluation Of Aquifer Protective Capacity And Groundwater Flow Pattern In Ogbia Local Government Of Bayelsa State, Nigeria

The groundwater flow pattern and aquifer protective capacity of overburden layers in some communities of Ogbia in Bayelsa State was investigated to determine the vulnerability of groundwater resources due to infiltration and/or migration of potential contaminants. These communities plays host to crude oil exploitation activities, as such, environmental degradation associated with these activities are commonplace. Spills, leachate plumes from dumpsite and waste from septic tanks may contaminate the aquifers indiscriminately. Dar Zarrouk parameters obtained from the geoelectric sounding was used to evaluate the protective capacity of the soil, while the groundwater flow pattern was determined by contouring the hydraulic heads obtained from elevation and static water level measurements in wells across the study area.12 vertical electrical soundings (VES) using the Schlumberger electrode configuration were occupied in the study area, longitudinal conductance values delineated areas with poor (less than 0.1 mho), weak (0.1 – 0.19 mho), moderate (0.2 – 0.69 mho) and good protective capacity (0.7 – 1.0 mho). The geoelectric results suggest that sections of the aquifer underlying Otuasega and Imiringi communities have the least protective capacity indices and thus were most vulnerable to contamination due to infiltration and percolation. This study has shown that groundwater flow is generally from the northern part to the southern regions in the study area; hence communities in the south are more likely to be adversely affected by contaminants transport within the aquifer system. Keywords—Groundwater, triangulation, aquifer vulnerability, flow direction, hydraulic head.
Diversity of saproxylic beetle communities in chestnut agroforestry systems

Abstract: Chestnut (Castanea sativa Mill.) has been exploited over the centuries for different uses. Nowadays, chestnut is mostly managed as coppice or orchard, creating a matrix of different forest structures. In particular, saproxylic species may provide information to correlate forest naturalness with stand structure. In this study, we evaluated how different management methods might influence the diversity of beetles hosted in chestnut agroforestry systems. Three management options were considered: young and mature coppice stands, and the traditional fruit orchard. Microhabitats occurring on veteran trees were also surveyed to investigate their effect on saproxylic communities, in the fruit orchard. The study area is located in Southern Italy, Aspromonte National Park, where Coleoptera were collected using window flight traps and the stand structural traits were also quantified. In the fruit orchard, a census of the occurring microhabitats was also realized. We used the following diversity indeces (α-diversity) to assess the state of conservation of the analysed forests: (i) Shannon Index; (ii) Margalef’s Richness index; (iii) Equitability index; (iv) Dominance index. Results revealed that forest management have a fundamental role in influencing the diversity of Coleoptera communities and saproxylic beetles. A lower species richness was observed in the mature coppice in comparison with the young coppice and fruit orchard. Nevertheless, these agroforestry systems, reflecting differentiated structural traits, allowed the development of highly specialized and threatened species (34.3% included in IUCN risk categories), with important contribution to conservation of biodiversity in the rural landscape. Finally, the abundance and diversity of microhabitats in the traditional fruit orchard had positive effects on many saproxylic beetle families. These beetle communities, particularly saproxylic species, can be used as excellent bioindicators in actively managed agroforestry systems, suggesting sustainable forest management options for chestnut, while the conservation of veteran trees rich in microhabitats can be considered fundamental for preserving many endangered insects.
Email classification for spam detection using string detection

Nowadays, spammers change one or more characters of offensive words in their spam in order to foil content based filters. But the important thing to observe is that the spammers change the words in such a way that a human being can understand the meaning the words without any difficulty. That’s why one might wonder why his spam filter does not detect some emails as spam when he can clearly see that those are spam! Spammers do not make any drastic change in the words so that it can be easily recognized by humans. Based on the above mentioned observations, we developed a rule based hashtable technique that can match string those both look alike and sound alike, cannot be detected by conventional spam filters. E-mail content classification for spam control is proposed. It used the string matching or hash table Technique for improving the efficiency of the content based spam filter.The proposed system extract the base or stem of a misspelled or modified string, to detect spam emails. In previous also provides an Email archiving solution which classifies the E-mail relating to a person,family, corporation, association, community, or nation &showed some algorithm results to corroborate our claim.
Understanding the Factors Influencing Consumer Adoption of N-Screen services in South Korea

This research examines what factors affect the adoption of N-Screen services. Specifically, we identify the drivers that positively influence the adoption of N-Screen services as well as the inhibitors dissuading consumers from adopting the N-Screen services. An online survey was conducted under the context of Korean consumers. The results demonstrate that perceived usefulness of N-Screen services prompts consumers’ intention to adopt N-Screen services, while the perceived (monetary and non-monetary) risks of N-Screen services are found to serve as barriers to adoption of N-Screen services. Moreover, consumer needs and traits, media and device ownership, and media usage behavior are found to have significant impact on the perceived usefulness of N-Screen services. [Minhee Son, Moon-Yong Kim. Understanding the Factors Influencing Consumer Adoption of N-Screen services in South Korea. Life Sci J 2014;11(7s):131-135] (ISSN:1097-8135). http://www.lifesciencesite. com. 24
The Identity Constitution of the Craft Beer Consumer in the City of Fortaleza (Brazil)

With the transformation of the market into a provider of relevant symbolic resources, individuals like to demonstrate consumer goods that reflect their values and shared lifestyles. Thus, the aim of this study is to define identity profiles of craft beer enthusiasts based on their consumption practices. Using exploratory qualitative research, 55 consumers were interviewed and observations were made in the city of Fortaleza, Ceara, Brazil. The results present five consumer identity profiles in the culture of the craft beer consumer: Beginner, Adventurer, Beer Evangelist, Expert, and Beer Snob. The research enriches the studies inherent in consumer culture by presenting identity profiles based on consumption habits, and what is more, the research also makes a contribution by presenting the segmentation methodology in which the suggested identities can serve as a mechanism for industry organizations in the search for relationship strategies with the target audience.
Application of Deep Learning Algorithm For Breast Cancer Classification Using Fully Convolutional Neural Networks

- Nowadays, the standard of classification systems depends on the presentation of the dataset, a method that takes time to use in-depth data to provide specific characteristics. Meanwhile, deep learning will extract options from a dataset, while not having to style feature extractors. Convolutional Neural Network (CNN) has been come upon as Associate in nursing intense category of models for image acknowledgment problems. CNN may be a deep learning model that extracts the feature of a images and use these feature to classify a image. Different classification algorithmic rule must extract the feature of a image exploitation feature extraction algorithmic rule like grey Level Cooccurrence Matrix. We tend to show that a convolutional neural network is an efficient tool in classifying carcinoma histopathological images and appraise its performance as a binary classifier within the field of carcinoma designation exploitation whole slide imaging. Performance of CNN is far higher when put next to different rumored results on Break His dataset exploitation different classification algorithmic rule for classifying a images.
Learning Tattoos to Fool Facial Recognition Algorithms

In this paper, we introduce a means of utlilizing adversarial attacks to fool facial recognition algorithms. The goal is to develop a facial tattoo that, when worn, leads a facial recognition model to misclassify the face. Currently, the attacks are non-targeted, meaning the goal is to simply misclassify the face, rather than misclassifying the face and classifying it as a chosen identity. The experiments began by implementing a projected gradient descent (PGD) attack on ImageNet images, then VGGFace2 images, and then ﬁnally localizing the adversarial attack to one portion of the VGGFace2 faces with the intention of printing them out and applying them to the face to fool facial recognition algorithms on the streets. Future plans for this project involve