Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic Analysis of Arguments about Controversial Educational Topics in Web Documents

Decision making in social communities, such as families, companies, or parties, builds on debates and discussions, where arguments on particular topics are exchanged. With this work, we contribute to the efforts in automatically processing arguments for decision making, which is embedded in the field of Argumentation Mining. Since only few corpora for Argumentation Mining exist, we first built a corpus of argumentative German Web documents, containing 79 documents from 7 educational topics, which were annotated by 3 annotators according to the claim-premise argumentation model. The corpus comprises 70,000 tokens, annotated with 5,000 argument units, i.e., claims and premises. We found that the annotators performed similarly with regard to surface statistics such as the distribution of argument unit types or lengths. Each annotator’s annotations cover on average ca. 74 of the tokens, which indicates the argumentative nature of the dataset. The inter-annotator agreement evaluates to ca. 44% for Fleiss’ and to ca. 40% for Krippendorff’s unitized alpha. We found that agreement correlates slightly negatively with annotation time demand per document. Finally, we present a number of experiments on the role of 360 discourse markers for discriminating claims from premises. Our results show that several intensifying discourse particles are distinctive for claims and premises. Furthermore, we confirmed expectations from the literature that the discourse relation concession introduce counter-arguments. The discourse relations comparison/contrast and result frequently indicate claims, while the discourse relations alternative, reason, and sequence tend to indicate premises. Another experiment investigated the role of discourse markers as features for Machine Learning. Using a Naive Bayes classifier, we found that discourse markers as sole features for discriminating claims and premises yielded an improvement of 13 percentage points over the majority class baseline.
Application of a Technique for Secure Embedded Device Design Based on Combining Security Components for Creation of a Perimeter Protection System

From information security point of view embedded devices are the elements of complex systems operating in a potentially hostile environment. Therefore development of embedded devices is a complex task that often requires expert solutions. The complexity of the task of developing secure embedded devices is caused by various types of threats and attacks that may affect the device, as well as that in practice security of embedded devices is usually considered at the final stage of the development process in the form of adding additional security features. The paper proposes a design technique and its application that will facilitate development of secure and energy-efficient embedded devices. The technique organizes the search for the best combinations of security components on the basis of solving an optimization problem. The efficiency of the proposed technique is demonstrated by development of a room perimeter protection system.
Supervised Machine Learning: A Review of Classification Techniques

The goal of supervised learning is to build a concise model of the distribution of class labels in terms of predictor features. The resulting classifier is then used to assign class labels to the testing instances where the values of the predictor features are known, but the value of the class label is unknown. This paper describes various supervised machine learning classification techniques. Of course, a single chapter cannot be a complete review of all supervised machine learning classification algorithms (also known induction classification algorithms), yet we hope that the references cited will cover the major theoretical issues, guiding the researcher in interesting research directions and suggesting possible bias combinations that have yet to be explored.
Frequency based metamorphic malware detection

Malwares can create new malware samples which have different size, structure and operation mode but same functionality in each metamorphic code generation via malicious code obfuscation methods. So they can bypass traditional signature-based malware detection systems. In this study, a pattern recognition based system that detects metamorphic malware by using summary structure of Malware Analysis Intermediate Language (MAIL)has been improved. For the term frequency of MAIL language codes, feature extraction, feature selection and classification algorithm is researched in terms of accuracy and performance. The system is tested with metamorphic malware construction kits NGVCK, G2, VCL32, PSMPC and achieve %100 accuracy with 2 of 26 MAIL feature and implement %93 feature reduction.
Highly Automated Job Interviews: Acceptance Under the Influence of Stakes

Technological advancements allow the automation of every part of job interviews (information acquisition, information analysis, action selection, action implementation) resulting in highly automated interviews. Efficiency advantages exist, but it is unclear how people react to such interviews (and whether reactions depend on the stakes involved). Participants (N&#160;=&#160;123) in a 2 (highly automated, videoconference)&#160;&#215;&#160;2 (high&#8208;stakes, low&#8208;stakes situation) experiment watched and assessed videos depicting a highly automated interview for high&#8208;stakes (selection) and low&#8208;stakes (training) situations or an equivalent videoconference interview. Automated high&#8208;stakes interviews led to ambiguity and less perceived controllability. Additionally, highly automated interviews diminished overall acceptance through lower social presence and fairness. To conclude, people seem to react negatively to highly automated interviews and acceptance seems to vary based on the stakes. Open Practices. This study was pre&#8208;registered on the Open Science Framework () and on AsPredicted ().
Children Exposed to Maternal Obesity or Gestational Diabetes Mellitus During Early Fetal Development Have Hypothalamic Alterations That Predict Future Weight Gain

OBJECTIVE Exposure in utero to maternal obesity or gestational diabetes mellitus (GDM) is linked to a high risk for obesity in offspring. Animal studies suggest that these exposures disrupt the development of the hypothalamus, a brain region that regulates body weight, predisposing offspring to develop obesity. This study tested the hypothesis in humans that in utero exposure to maternal obesity and/or GDM is associated with alterations in the hypothalamic response to glucose and the altered hypothalamic response would predict greater increases in child adiposity 1 year later. RESEARCH DESIGN AND METHODS Participants were 91 children aged 7–11 years with and without in utero exposure to GDM. Maternal prepregnancy BMI and GDM exposures were determined from electronic medical records. Arterial spin labeling MRI was used to determine the child’s hypothalamic blood flow response to oral glucose. Anthropometric measures were acquired in all children at their initial visit and again 1 year later in a subset of 44 children. RESULTS Children exposed to GDM diagnosed at ≤26 weeks' gestation had increased hypothalamic blood flow (a marker of hypothalamic activation) in response to glucose when compared with unexposed children, and results remained after adjustments for child age, sex, BMI, and maternal prepregnancy BMI. Maternal prepregnancy BMI was positively associated with the child’s hypothalamic response to glucose. Greater hypothalamic response to glucose predicted greater increases in child’s BMI 1 year later. CONCLUSIONS Increased glucose-linked hypothalamic activation during childhood represents a possible mechanism by which exposure to maternal metabolic disorders during fetal development increases future risk for obesity.
Any leftovers from a discarded prediction? Evidence from eye-movements during sentence comprehension

ABSTRACT We investigated how listeners use gender-marked adjectives to adjust lexical predictions during sentence comprehension. Participants listened to sentence fragments in Spanish (e.g. “The witch flew to the village on her … ”) that created expectation for a specific noun (broomstickfem), and were completed by an adjective and a noun. The adjective either agreed (newfem), disagreed (newmasc), or was neutral (bigfem/masc) with respect to the expected noun’s gender. Using the visual-world paradigm, we monitored looks toward images of the expected noun versus an alternative of the opposite gender (helicoptermasc). While listening to the initial fragment, participants looked more towards the expected noun. Once the adjective was heard, looks shifted toward the noun that matched the adjective’s gender. Finally, upon hearing the noun, looks were affected by both previous context and adjective gender. We conclude that predictions are updated online based on gender cues, but sentence context still affects integration of the expected noun.
Assessment of the nitrification process in a culture of pacific white shrimp, using artificial substrate and bacterial inoculum in a biofloc technology system (BFT)

ABSTRACT: Litopenaeus vannamei is the most cultured marine shrimp in all types of systems including the Bioflocs Technology System (BFT). Bioflocs are formed by microorganisms, among these, autotrophic bacteria are responsible for the nitrification process. This study aimed to identify and promote the development of nitrifying bacteria by adding artificial substrates and biofloc inoculum in L. vannamei culture in a BFT system. The experiment consisted of four treatments with three replics (4x3) as follows: (1) Control: clear water in which bioflocs were formed; (2) IN (10%): clear water with biofloc inoculum (10%); (3) IB: clear water with substrate (immature “bioballs”); and (4) MB: clear water with mature “bioballs” inoculum from a recirculation system. Treatments were stocked with shrimp juveniles (4.92±0.45 g) in 12 tanks with 200 L working volume at a stocking density of 200 shrimp/m³. Shrimps were fed twice a day with a commercial feed (38% CP) following a feeding table, and daily observations intake were made over the four weeks of the experiment. Biofloc and “bioballs” samples were collected to detect the growth of the population of nitrifying and heterotrophic bacteria by FISH. There was no significant difference between treatments (P>0.05) for survival, obtaining mean values greater than 88%. The IN (10%) treatment had lower concentrations of ammonia and nitrite, and nitrate concentration increased, while MB had a higher weight and biomass final, productivity, weekly weight gain and lower conversion of apparent feed for production performance results.
The Renal Dietetic Outcome Tool (RDOT) in clinical practice

Providing cost- and clinically-effective services is essential in today's NHS, but it can be difficult to capture this data in day to day practice. The identification and development of outcome measures for dietetics is an ongoing challenge. This article describes how the Renal Nutrition Group of the British Dietetic Association developed three renal-specific Dietetic Outcome Models and a Renal Dietetic Outcome Tool (RDOT) to measure dietetic outcomes in potassium and phosphate management and oral nutrition support in patients with chronic kidney disease for use in daily clinical practice
Optimisation de modèles comportementaux de composants pour la prédiction de défaillances fonctionnelles et matérielles liées aux décharges électrostatiques (ESD)

Les evenements transitoires de forte puissance (EFT - Electrical Fast Transient) sont l'une des preoccupations des concepteurs de systemes embarques. Ils peuvent conduire au dysfonctionnement du systeme et sont a l'origine d'un grand nombre de defaillances materielles et fonctionnelles. Notre etude est principalement portee sur l'impact des decharges electrostatique (ESD - Electro Static Discharge) sur l'electronique embarquee dans un vehicule. D'apres une etude de Renault, un vehicule peut subir deux decharges par jour durant sa vie. Les ingenieurs systemes ne disposent pas de moyen pour predire l'impact de ces decharges dans les systemes, et les solutions actuelles sont essentiellement basees sur l'experience. Afin de predire le chemin d'un ESD dans tout le systeme electronique et la strategie de protection a adopter pour proteger les composants les plus sensibles, des recherches dans le monde entier sont en cours. Les travaux de recherche du groupe ESE du LAAS-CNRS ont mene a des methodologies de modelisation de composant passif, de circuit integre et de carte electronique en VHDL-AMS. Les circuits integres sont dotes d'un reseau de protection ESD interne qui permet de detourner le stress des zones critiques. La methodologie developpee au cours des precedentes annees permet de modeliser le comportement de ce reseau de protection. Cependant, ces modeles sont rudimentaires, ils decrivent uniquement le niveau de declenchement de la protection et son impedance quasi-statique en fonction du niveau de stress ESD. Aucune information sur le comportement transitoire de la protection n'est decrite dans le modele. Il est donc difficile de prevoir certaines defaillances liees aux phenomenes transitoires de declenchement des protections faisant apparaitre de tres fortes surtensions ou des niveaux de courant mal evalues. Les differents aspects abordes durant cette these permettent de resoudre ces problemes en proposant des modeles dynamiques, et differentes methodes pour pouvoir extraire les parametres des modeles. [. ]
INTERACTION PATTERNS OF THE ELEVENTH GRADE EFL CLASSROOM OF MA MIFTAHUL ULUM DEMAK

This present study aimed 1) Investigating the patterns of interaction during the teaching of English language in EFL classroom, and 2) Investigating how the patterns of interaction promote students‟ learning in EFL classroom. This research used a qualitative approach as the design. Here, the techniques used in this research were doing a direct observation in the English learning class and an in-depth interview with the English teacher. This participant was selected using purposeful sampling. The observation aimed to find out how the process of interaction ran in EFL classroom. Then it was followed by in-depth interview to find out the reasons of having such interaction. In addition, the researcher utilized observation sheet, observation checklist, field note, and interview guide as the instruments of data collection. In analyzing the data, the researcher utilized the tabulation form proposed by Creswell (2012). The findings of this research showed that there were three patterns of interaction applied by the teacher. Asking questions, giving directions, and using ideas of students were the most frequently used by the teacher. Then, the patterns of interaction can promote students‟ learning by exposing comprehensible input and giving chances to the students for producing output.
Wind tunnel and CFD analysis of wind-induced natural ventilation in sheds roof building: impact of alignment and distance between sheds

Abstract Sheds roof is a natural ventilation strategy that presents roof openings working as air collectors or extractors. A detailed review of the literature indicates a lack of research analyzing the impact of different sheds roof shapes and roof configurations on natural ventilation potential. This paper aim is to evaluate the impact of changes in distance and alignment between windcatcher and leeward sheds roof. The methodology was Computational Fluid Dynamic (CFD) simulation. Tests were performed in an atmospheric boundary layer wind tunnel on a 1:15 scale model to evaluate the accuracy of CFD simulation in different design configurations of sheds roof. The analysis showed that CFD simulations are generally in good agreement with the wind tunnel tests. The difference between the most of the monitored points in the two tools used had errors below 10%. Besides this, the results show that changes in alignment of the sheds and increasing the distance between them decrease and increase the internal airflow to the leeward and windward sheds roof, respectively. In the first case it is due to the reduction in the sheds openings area. In the second these changes turn the sheds more effective in the air capture.
Chimeric antigen receptor-modified T cells in CLL.

Porter et al. describe the treatment of a patient with autologous T cells that were genetically modified to recognize the B-cell antigen CD19. This article confirms many findings of our December 2010 article,1 which described a patient with advanced follicular lymphoma whom we treated with chemotherapy followed by an infusion of T cells expressing an antiCD19 chimeric antigen receptor (CART19). A dramatic partial remission lasting 10 months was achieved in our patient. He was retreated on our protocol and was in an ongoing partial remission 26 months after the original treatment. In addition, both normal and malignant Blineage cells were completely eradicated from the blood and bone marrow in our patient for 36 weeks. Similarly to the patient described by Porter and coworkers, hypogammaglobulinemia developed in our patient. We have treated a total of 11 patients in two different clinical trials of CART19. Adoptive transfer of T cells genetically modified receptors is a promising new approach for treating chemotherapy-resistant cancers.1–4
Effect of Dietary Curcumin on Heptorenal Alfla-Toxicosis in Mice

Mycotoxins contribute great adverse health concerns, especially on liver and kidney. The current study aimed to investigate the possible protective effect of dietary curcumin on hepatorenal aflatoxicosis in mice. Thirty-two male albino mice 18-20 g were divided into 4 groups. Group I, is the control group received basal diet. Group II, received a basal diet with 2% curcumin. Group III, given a basal diet with added AFs (5 µg/kg). Group IV, co-administered AFs and curcumin at the same previous doses. All treatments continued for 4 weeks. Liver and kidney weights, as well as food conversion ratio (FCR), were determined. The serum levels of Superoxide dismutase (SOD), total antioxidant capacity (TAC), Malondialdehyde (MDA) and Interleukin-6 (IL-6) were estimated. Serum alanine aminotransferase (ALT), alkaline phosphatase (ALP), albumin and creatinine were estimated. Histopathological examination to liver and kidney was performed. AFs significantly increased FCR and liver weight than control. The levels of SOD and TAC significantly reduced in-group III while MDA and IL-6 increased than control. The levels of AST, ALT and creatinine were significantly (P<0.05) increased in AFs group meanwhile albumin was significantly reduced than control. Hepatic and renal tissue showed congestion, lymphocytic infiltrations and other retrogressive changes. The co-administration of curcumin with AFs significantly ameliorated the AFs induced adverse effects. Curcumin possesses antioxidant effect that ameliorated aflatoxicosis adverse effects on the kidney and liver.
Serum ferritin changes on administration of intravenous iron in iron deficiency anemia in pregnancy

The objective of this study was to see the changes in the serum ferritin levels on administration of intravenous iron sucrose in iron deficiency anemia during 14 to 34 weeks of pregnancy. A clinical trial was performed involving 56 patients attending the antenatal clinic at Shri B M Patil Medical College Hospital, Bijapur from October 2011 to August 2012, with serum ferritin of < 15 ng/ml and hemoglobin levels between 70-110g/L. Iron sucrose was administered as 200 mg in 100 ml 0.9% sodium chloride per day. The primary outcome measures, serum ferritin and haemoglobin levels were measured after 4 weeks. The change in serum ferritin was 112.17 ± 98.15 ng / ml (Mean ±SD) which was significantly higher with T value 5.11 and P value being < 0.0001. 48% of patients showed increase in ferritin level between 51 to 100 ng/ml. Serum ferritin levels increase with intravenous iron sucrose administration thus making it effective in increasing maternal iron stores along with correction of anemia.
ANTIOXIDANT, ANTIMICROBIAL AND PHOTOCATALYTIC ACTIVITIES OF SILVER NANOPARTICLES OBTAINED BY BEE PROPOLIS EXTRACT ASSISTED BIOSYNTHESIS

Taking into consideration the advantages of green synthesis of nanoparticles, the present study focuses on the formation, characterization and evaluation of some biological activities of silver nanoparticles (AgNPs) obtained using bee propolis extract. The total phenolic and total flavonoid contents were evaluated. The formation of AgNPs was primarily confirmed by the change in colour and by the appearance in the UV-Vis spectrum of the characteristic silver surface plasmon resonance band. Several compounds that can participate in the reduction process were identified by characteristic peaks of functional groups in the FTIR spectra. The presence of elemental silver was confirmed by Energy-dispersive X-ray (EDX) spectroscopy. Morphological study of AgNPs was carried out using Transmission electron microscopy (TEM) and confirmed the spherical shape. The investigated propolis extract is a valuable source of compounds which can participate in the synthesis of AgNPs with antimicrobial, antioxidant and photocatalytic degradation properties.
Correlation and Path Coefficient Analysis for Morphological and Biochemical Traits in Diverse Pomegranate (Punica granatum L.) Genotypes

The present experiment was conducted to study the correlation and path coefficient analyses among some morphological and biochemical traits of twenty-three pomegranate genotypes. Results of correlation analysis showed a high, positive and statistically significant (at 0.1% P) correlation between fruit weight and fruit length (r= 0.897), peel weight (r=0.931), fruit volume (r= 0.67), fruit diameter (r=0.554) and total number of arils per fruit (r=0.428). Peel weight exerted direct positive effect as well indirect positive effect on fruit weight through characters like fruit volume, fruit length, total no. of arils per fruit, aril weight and fruit diameter while among the biochemical traits, fruit juiciness exerted maximum positive direct effect on TSS (0.298). The results suggested that these traits could be used for indirect selection of genotypes for higher yield and fruit quality traits will be suitable for cultivation as well as for use in breeding programme.
A Recursive Bayesian Approach for Identification of Network Configuration Changes in Distribution System State Estimation

This paper deals with the identification of network configuration changes in distribution system state estimation (DSSE). The models of critical network configurations are stored in the form of a model bank. A recursive Bayesian approach which utilizes the output of the state estimation function of each model in the bank is used to identify the correct configuration of the network. The concept is demonstrated on a part of the U.K. Generic Distribution System (UKGDS) model.
Extended static checking for Java

Software development and maintenance are costly endeavors. The cost can be reduced if more software defects are detected earlier in the development cycle. This paper introduces the Extended Static Checker for Java (ESC/Java), an experimental compile-time program checker that finds common programming errors. The checker is powered by verification-condition generation and automatic theorem-proving techniques. It provides programmers with a simple annotation language with which programmer design decisions can be expressed formally. ESC/Java examines the annotated software and warns of inconsistencies between the design decisions recorded in the annotations and the actual code, and also warns of potential runtime errors in the code. This paper gives an overview of the checker architecture and annotation language and describes our experience applying the checker to tens of thousands of lines of Java programs.