Miracle-dz/UniFAR-FTUs huggingface dataset:
Chemiluminescent Light : Role in Early Detection of Cancer

Aim and objective: This clinical study was undertaken to evaluate the use of chemiluminescent light in detection of dysplastic areas in oral premalignant lesions. Materials and methods: Thirty-six patients were voluntarily included in the study, having a clinical diagnosis of oral squamous cell carcinoma (OSCC) (7) or having precancerous lesions or conditions like leukoplakia (11), lichen planus (LP) (9) and OSMF (9) were included in the study. All the selected patients having suspected lesions were initially screened with ViziLite followed by TB staining. The findings were respectively recorded in patient’s performa. Histopathological presence or absence of dysplasia was taken as gold standard, to calculate and compare sensitivity, specificity, positive predictive value and negative predictive value of ViziLite and toluidine blue (TB). Results: TB and ViziLite both gave 100% sensitivity, however specificity of TB (88.46%) was much higher than ViziLite (33.33%). Similarly both TB and ViziLite both gave 100% (NPV), and however (PPV) of toluidine blue (75%) was much higher than ViziLite (33.33%). Conclusion: ViziLite just enhances already existing whitish lesion making its visualization easy and help us to delineate the margins more precisely but doesnot guide us much in selection of the most characteristic site for biopsy within the already existing lesion.
A Dynamic General Equilibrium Model Satisfying Golden Rule in Neoclassical Growth Theory

This paper constructs a model which is more close to the reality to describe individual saving behavior accurately and explain the long-term growth of economy. The model constructed in this paper is the improvement and innovation of neoclassical growth models including Solow model, RCK model and OLG model. Starting from the micro decision making of individuals and firms, there exists balanced growth path (BGP) and capital stock in steady state satisfies the golden rule in general equilibrium. Total saving rate equals the elasticity of output with respect to capital. The long-term economic growth depends on exogenous technological progress.
Motor TPL Insurance: The Case of Italy

This study analyzes the social impact of motor TPL insurance, focusing on direct costs. It presents the variables in motor TPL insurance and through a multiple regression model shows how they contribute to the average premium insurance. The analyses aim to: i) confirm the increase of the average premium insurance when moving from Northern to Southern Italy; ii) identify the main variables related to motor TPL insurance; iii) highlight a positive relationship between motor TPL insurance average premium and car thefts. These findings confirm that lower cost of motor TPL insurance is necessary to define, in Italy, a policy that combats the phenomenon of car thefts and insurance fraud, to issue suitable guidelines for insurance companies and introduce mandatory regulations forcing companies to effectuate product reformulation.
Measuring Firm Smart Business Capability a Total Capability Perspective

—Firms has rapidly been changed their business environment with developing a variety of IT technologies. Enterprises are making an effort for effectively applying them to their management activities in order to raise their business performance. With developing smart information technology, the smart business (SB) capability of a firm is very critical for the efficient execution of its management activities and to improve the performance of business tasks in a global business environment. The measurement and management for a firm SB capability need to efficiently establish and improve SB environment appropriate for its management strategy and business departments. A comprehensive instrument is necessary for efficiently measuring firm’s SB capability to manage and improve its SB capability. The developed 12-item scale is verified based on previous literature. This study provides a 12-item instrument that can reasonably measure a firm SB capability in a total SB capability perspective.
The Effectiveness of Symbolic Modeling Techniques for Students’ Emphatic Development

: Empathy is an important competence to be developed because empathy is the basis of social skills that can makes individual will have better social interaction and be able to socialize. Symbolic modeling technique is a technique in guidance and counseling to provide assistance by observing the behavior through video, film, pictures and stories. This research’s purpose was to test the effectiveness of symbolic modeling technique in developing the empathy of students of 8 th Grader of a Junior High School in Indonesia in 2015/2016 academic year. The method used was quasi experiment with nonequivalent control group research design. The data was analyzed by using nonparametric statistics through Mann-Whitney test. Based on the Mann-Whitney test in the experimental group, the significance value is 0.005. The value of significance is smaller than α = 0.05, means that there is a significant difference between the experimental group’s pre-test and post-test data. While in the control group, the significance value of Mann Whitney test result is 0.857. The value of significance is greater than α = 0.05, means that there is no significant difference between the control group's pre-test and post-test data. Thus, show that the symbolic modeling technique is effective to develop the students’ empathy.
A Discrete Model for the Natural Frequencies and Mode Shapes of Constrained Vibrations of Beams with Various Boundary Conditions

The purpose of the present paper is the development of a physically discrete model for free transverse constrained vibrations of beams. The discrete model consists on an N -degree of freedom system made of masses placed at the end of solid bars connected with spiral springs. The calculations made involve two tensors, namely the mass tensor [ m ij ] and the linear rigidity tensor [ k ij ]. The results obtained by the physically discrete model show a good agreement and a quick convergence to the equivalent continuous beam for various end conditions for both the natural frequencies and the corresponding mode shapes. The model proposed in the present paper, which has been validated here using classical cases, may be easily applied to the flexural vibration of beams with various types of discontinuities, and to beams carrying concentrated masses.
Investigation of Naive Bayes Combined with Multilayer Perceptron for Arabic Sentiment Analysis and Opinion Mining

Sentiment analysis has recently become one of the growing areas of research related to text mining and natural language processing. Sentiment analysis techniques are increasingly exploited to categorize the opinion text to one or more predefined sentiment classes for the creation and automated maintenance of review-aggregation websites. Most of the current studies related to this topic focus mainly on English texts with very limited resources available for other languages like Arabic. The complexities of Arabic language in morphology, orthography and dialects makes sentiment analysis for Arabic more challenging. In this study, the Naive Bayes algorithm (NB) and Multilayer Perceptron (MLP) network are combined with hybrid system called NB-MLP for Arabic sentiment classification. Five datasets were tested; attraction, hotel, movie, product, and restaurant. The datasets are then classified into positive or negative polarities of sentiment using both standard and combined system. The 10-fold cross validation was employed for splitting the dataset. Over the whole set of experimental data, the results show that the combined system can achieve high classification accuracy and has promising potential application in the Arabic sentiment analysis and opinion mining.
Inverse filtering for time, delay and integration X-ray imaging

Abstract. In food industry, most finished products are scanned by X-ray for contaminations. These X-ray machines continuously scan the product passing through. To minimize the required X-ray power, a Time, Delay and Integration (TDI) CCD sensor is used to capture the image. While the product moves across the sensor area, the angle of the X-rays changes during the pass. This can be compensated for by adjusting the sensor shift speed to focus on a single plane of the product. If the product has a significant thickness, the image will show artifacts due to the laminographic effect. In this contribution we demonstrate that by the use of inverse filtering images which are focused on planes of different height can be generated out of a single X-ray image.
HardScope : Thwarting DOP attacks with Hardware-assisted Run-time Scope Enforcement

Widespread use of memory unsafe programming languages (e.g., C and C++) leaves many systems vulnerable to memory corruption attacks. A variety of defenses have been proposed to mitigate attacks that exploit memory errors to hijack the control flow of the code at run-time, e.g., (fine-grained) randomization or Control Flow Integrity. However, recent work on data-oriented programming (DOP) demonstrated highly expressive (Turing-complete) attacks, even in the presence of these state-of-the-art defenses. Although multiple real-world DOP attacks have been demonstrated, no efficient defenses are yet available. We propose run-time scope enforcement (RSE), a novel approach designed to efficiently mitigate all currently known DOP attacks by enforcing compile-time memory safety constraints (e.g., variable visibility rules) at run-time. We present HardScope, a proof-of-concept implementation of hardware-assisted RSE for the new RISC-V open instruction set architecture. We discuss our systematic empirical evaluation of HardScope which demonstrates that it can mitigate all currently known DOP attacks, and has a real-world performance overhead of 3.2% in embedded benchmarks.
Species composition and plant use in old urban homegardens in Rio Claro, Southeast of Brazil

This study, based on the ethnobotanical approach, looked for to characterize the ancient urban home gardens in Rio Claro, municipality located in the Southeast of Brazil, carrying out a survey of the wealth of vegetal species and their uses, in 17 households selected randomly. The data had been collected by means of semistructured and structured interviews and by the gathering of plants. It was verified a total of 410 species, distributed in 97 botanical families, evidencing a high diversity of ligneous species, such as trees and shrubs (H' = 1,66 and J = 0.86). There were surveyed 257 species for ornamental use, as well as 98 for alimentary and 93 for medicinal uses. Considering the great number of species found for the main categories of use, it can be inferred that the home gardens play important functions for the interviewed families, contributing for the food and medicine production destined for the consumption by the families themselves, and also playing an important esthetic function thanks to the variety of their ornamental plants. The wealth of these home gardens may be related to the rural origin and to the culture of the owners, who still keep a cultivation tradition. It was found that the products obtained from the home gardens contributed for the diet's variety of the informants, representing a promising potential for the improvement of the population alimentation.
Practical Contactless Attacks on Hitag2-Based Immobilizer and RKE systems

Immobilizer and remote keyless entry (RKE) systems are widely used in the auto industry to improve the security and comfort. However, most of them have vulnerabilities which allow to recover the cryptographic key. In this paper, we present attacks to break the Hitag2-based immobilizer and RKE systems. These attacks require only several minutes of computation on a laptop after obtaining four to eight valid authentication traces, i.e., authentication messages between the immobilizer and the electronic key or rolling codes of the key. The attack on the immobilizer system can fully recover the cryptographic key which allows an adversary to authenticate to the vehicle and start the engine. The attack on the RKE system can determine the state of the last rolling code and predict the next rolling code. This allows an adversary to open the door quickly without leaving any physical traces. A combination of these two attacks provides the ability to open the door and start the engine of a Hitag2-based vehicle in minutes at a very low cost.
Spions Increase Biofilm Formation by Pseudomonas aeruginosa

Limited research has suggested iron oxide nanoparticles (FeNP) have an inhibitory effect against several different genera of bacteria: Staphylococcus, Bacillus and Pseudomonas spp. In this study we looked at the effect of three different sets of Fe3O4 nanoparticles (FeNPs) on the development of Pseudomonas aeruginosa PAO1 biofilms. Two of the tested NPs were SPIONs (Superparamagnetic Iron Oxide Nanoparticles). Exposure of cells to the SPIONs at concentrations up to 200 μg/ml resulted in an increase in biofilm biomass by 16 h under static conditions and a corresponding increase in cell density in the bulk liquid. In contrast, these biofilms had decreased levels of extracellular DNA (eDNA). Fe(II) levels in the supernatants of biofilms formed in the presence of FeNPs exceeded 100 μM compared with 20 μM in control media without cells. Spent cell supernatants had little effect on Fe(II) levels. Cells also had an effect on the aggregation behavior of these nanoparticles. SPIONs incubated with cells exhibited a decrease in the number and size of FeNP aggregates visible using light microscopy. SPIONs resuspended in fresh media or spent culture supernatants formed large aggregates visible in the light microscope upon exposure to a supermagnet; and could be pelleted magnetically in microtitre plate wells. In contrast, SPION FeNPs incubated with cells were unaffected by exposure to the supermagnet and could not be pelleted. The results of this study indicate a need to reconsider the effects of FeNPs on bacterial growth and biofilm formation and the effect the bacterial cells may have on the use and recovery of SPIONs.
A set of categories for the analysis of small group interaction.

"Because problems are dimly 'felt,' because they are neither related to a general theory of behavior on the one side, nor rigorously connected with the categories and indices to be chosen for observation on the other, the results of the research can very seldom become part of the cumulative movement of truth which constitutes the growth of scientific knowledge. When concrete indices (and classifications) are not clearly related to the variables of a general theory of human behavior in society, they tend to be ad hoc. Under these conditions they are only with difficulty, applicable, i.e., translatable into another concrete situation by an investigator who seeks to confirm, revise, or disconfirm the previously 'established' proposition. "1
Source Model and Stress Disturbance of the 2017 Jiuzhaigou Mw 6.5 Earthquake Constrained by InSAR and GPS Measurements

Seismogenic fault geometry, especially for a blind fault, is usually difficult to derive, based only on the distribution of aftershocks and interference fringes of Interferometric Synthetic Aperture Radar (InSAR). To better constrain the fault geometry of the 2017 Jiuzhaigou Mw 6.5 earthquake, we first carried out a nonlinear inversion for a single fault source using multi-peak particle swarm optimization (MPSO), Monte Carlo (MC), and Markov Chain Monte Carlo (MCMC) algorithms, respectively, with constraints of InSAR data in multiple SAR viewing geometries. The fault geometry models retrieved with different methods were highly consistent and mutually verifiable, showing that a blind faulting with a strike of ~154° and a dip angle of ~77° was responsible for the Jiuzhaigou earthquake. Based on the optimal fault geometry model, the fault slip distribution jointly inverted from the InSAR and Global Positioning System (GPS) data by the steepest descent method (SDM) and the MC method showed that the slip was mainly concentrated at the depth of 1–15 km, and only one slip center appeared at the depth of 5–9 km with a maximum slip of about 1.06 m, some different from previous studies. Taking the shear modulus of μ = 32 GPa, the seismic moment derived from the distributed slip model was about 7.85 × 1018 Nm, equivalent to Mw 6.54, which was slightly larger than that from the focal mechanism solutions. The fault spatial geometry and slip distribution could be further validated with the spatial patterns of the immediate aftershocks. Most of the off-fault aftershocks with the magnitude > M2 within one year after the mainshock occurred in the stress positive stress change area, which coincided with the stress triggering theory. The static Coulomb stress, triggered by the mainshock, significantly increased at the Tazang fault (northwest to the epicenter), and at the hidden North Huya fault, and partial segments of the Minjiang fault (west of the epicenter).
Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection

How to incorporate cross-modal complementarity sufficiently is the cornerstone question for RGB-D salient object detection. Previous works mainly address this issue by simply concatenating multi-modal features or combining unimodal predictions. In this paper, we answer this question from two perspectives: (1) We argue that if the complementary part can be modelled more explicitly, the cross-modal complement is likely to be better captured. To this end, we design a novel complementarity-aware fusion (CA-Fuse) module when adopting the Convolutional Neural Network (CNN). By introducing cross-modal residual functions and complementarity-aware supervisions in each CA-Fuse module, the problem of learning complementary information from the paired modality is explicitly posed as asymptotically approximating the residual function. (2) Exploring the complement across all the levels. By cascading the CA-Fuse module and adding level-wise supervision from deep to shallow densely, the cross-level complement can be selected and combined progressively. The proposed RGB-D fusion network disambiguates both cross-modal and cross-level fusion processes and enables more sufficient fusion results. The experiments on public datasets show the effectiveness of the proposed CA-Fuse module and the RGB-D salient object detection network.
The Mechanisms for the Oxidative Addition of Imidazolium Salts to a Group 9 Transition Metal Atom (Co0, Rh0, and Ir0) and a Group 10 Transition Metal Atom (Ni0, Pd0, and Pt0): A Theoretical Study

The potential energy surfaces of the oxidative addition reactions, L 2 M + imidazolium cation → product and CpM′L + imidazolium cation → product (M = Ni, Pd, Pt; M′ = Co, Rh, Ir; Cp = η 5 -C 5 H 5 ; L = 1,3-aryl-N-heterocyclic carbene (NHC), aryl = 2,4,6-trimeth-ylphenyl), are studied at the M06-L/Def2-SVP level of theory. The theoretical findings show that the singlet-triplet splitting (∆ E st = E triplet − E singlet ) for the L 2 M and CpM′L species can be used to predict the reactivity for their oxidative additions. That is to say, cur- rent theoretical evidence suggests that both a 14-electron L 2 M complex and a 16-elec-tron CpM′Lcomplex with a better electron-donating ligand L (such as NHC) result in a reduced ∆ E st value and facilitate the oxidative addition to the saturated C ─ H bond. The theoretical results for this study are in good agreement with the obtainable experimental results and allow a number of predictions to be made.
Comparing the visual analog scale and verbally administered numeric rating scale in traumatic versus non-traumatic pain in a community hospital emergency center

Objective: This study compared the numerical rating scale (NRS) and the visual analog scale (VAS) on their assessment of traumatic and non-traumatic pain in the emergency department, as this has not been well studied. Methods: Emergency department patients who presented within 72 hours of pain onset and met inclusion criteria were asked to rate their pain by using both scales. Results: With a convenience sample of 100, this study demonstrated a correlation between the NRS and VAS when assessing pain in the emergency department (p =0.000, α =0.01). It also confirmed that both the NRS (p =.311, α = 0.05) and the VAS (p =.345, α = 0.05) can be used to measure both traumatic and non-traumatic pain in the emergency department. Conclusion: The NRS and the VAS are both reliable and accurate measures of pain assessment in the emergency department and can accurately measure both traumatic and non- traumatic pain.
Integrated roof wind energy system

Wind is an attractive renewable source of energy. Recent innovations in research and design have reduced to a few alternatives with limited impact on residential construction. Cost effective solutions have been found at larger scale, but storage and delivery of energy to the actual location it is used, remain a critical issue. The Integrated Roof Wind Energy System is designed to overcome the current issues of urban and larger scale renewable energy system. The system is built up by an axial array of skewed shaped funnels that make use of the Venturi Effect to accelerate the wind flow. This inventive use of shape and geometry leads to a converging air capturing inlet to create high wind mass flow and velocity toward a vertical-axis wind turbine in the top of the roof for generation of a relatively high amount of energy. The methods used in this overview of studies include an array of tools from analytical modelling, PIV wind tunnel testing, and CFD simulation studies. The results define the main design parameters for an efficient system, and show the potential for the generation of high amounts of renewable energy with a novel and effective system suited for the built environment.
An Analysis of Algerian Manufacturing and Engineering Master’s Students’ Needs

Needs analysis is considered as an effective tool to design a course of English for Specific Purposes (ESP) that best fits the students’ needs. Thus, the present paper responds to a main research question focuses on what the Algerian Manufacturing and Engineering Master’s students need English for. It aims at investigating the students’ language needs and identifying the stakeholders’ perceptions of the ESP course. For this purpose, this research is based on a case study design through which a target situation, a present situation, a learner factor and teaching content analyses were undertaken. In fact, this is done in order to help teachers and education leaders in Algeria to draw a clear policy to ensure successful implementation of ESP courses. Two questionnaires and two semi-structured interviews were addressed to Algerian Engineering Master’s students, English language teachers, subject-specialists and administrators. The results revealed that Engineering students were highly motivated to learn English. They also indicated that there is an absence of an adequate proficiency level of English from the part of the students as they are unable to practice effectively the four skills namely listening, speaking, and communication. This is why they need to learn English in order to write exam answer, read textbooks, course handouts, follow lectures, and listen to instructions and explanations. Finally, designing a more focused English language course, training teachers, and providing financial support are highly recommended.