Miracle-dz/UniFAR-FTUs huggingface dataset:
Emotion Detection from Text Using Skip-thought Vectors

Emotion detection from natural language has become a popular task because of the primary role of emotions in human-machine interaction. It has a wide variety of applications ranging from developing emotional chatbots to better understanding people and their lives. The problem of finding emotion from text has been handled by using lexical approaches and machine learning techniques. In recent years neural network models have become increasingly popular for text classification. Especially, the emergence of word embeddings within deep learning architectures has recently drawn a high level of attention amongst researchers. In this research, we apply a recently proposed deep learning model named skip-thought, an approach to learning fixed length representations of sentences, to face the problem of emotion detection from text. We propose a new framework that takes advantage of the pre-trained model and pre-trained word vectors. We found that skip-thought vectors are well suited for emotion detection task. The results of the performance evaluation are encouraging and comparable to related research.
Precoded-OFDM within GFDM Framework

To meet the requirements of new 5G use cases, two methodologies have been proposed. The first considers additional processing on orthogonal frequency division multiplexing (OFDM), e.g. windowing, filtering, and precoding. The other aims at the design of new modulation schemes. Essentially, any block-based linear modulation, such as generalized frequency division multiplexing (GFDM), can be seen as precoded-OFDM, where the precoded data result from the frequency domain modulation. This representation has a significant benefit for the implementation of new waveforms. Namely, the available OFDM transceiver techniques can be reused, whereas the required signal features can be fulfilled by the configuration of the GFDM modem. In this paper, we propose flexible OFDM precoding based on the GFDM framework. As a particular case, we focus on orthogonal precoding to enhance the performance in fading channels. By means of closed-form expressions, we show that all the sybsymbols within the same GFDM subcarrier attain the same signal-to-interference-plus-noise ratio (SINR) in frequency selective channel. In special precoding cases, all symbols achieve equal SINR. This feature is important to enhance the performance without a need for power allocation.
A Secure Lightweight Data Aggregation scheme for Cloud assisted IoT

In recent years, cloud assisted IoT has emerged as a revolutionary paradigm enabling the seamless connection of IoT devices to the cloud through the Internet. This new paradigm helps the resource constrained IoT devices to get the benefit of cloud's elastic storage capabilities for storing of their data. However, at the same time it is challenging to ensure low latency, reduced network bandwidth consumption, scalability and energy efficient requirements of different IoT devices while transferring data to the cloud. Hence, to address these issues, fog computing was brought forward as an interplay between the cloud and the IoT. The fog computing is a powerful, decentralized architecture that collects data from IoT devices and transfers it to the cloud. While, fog computing enables us to address some of the issues discussed above, the security and privacy of data still remains to be a major concern. In this paper, we propose a secure lightweight data aggregation scheme for cloud assisted IoT devices based on ElGamal encryption and identity-based signature scheme. The security analysis highlights that our proposed scheme is secure as it prevents the possibility of injection of any kind of false data and keeps a check on data leakages. The performance analysis verifies the efficiency of our scheme against the prevalent schemes.
Predicting Learning Behaviour of Online Course Learners' using Hybrid Deep Learning Model

As developments in educational technology continue to advance, the methods in which the courses are delivered and received by learners' evolved from board teaching to online courses. It is necessary to investigate and understand the progression and advancements in the quality of online education through the learning behaviour. The traditional way of using pre-post test scores and learners' feedback is not much helpful in assessing the online learning behavior. In the proposed research work, a learner’s behavior prediction model is to be built using hybrid deep learning techniques. For this model building, various information such as facial expressions, time series Electroencephalography (EEG) data, clinical parameters like pulse rate, blood pressure, and skin temperature are acquired directly from the learner through sensors and other general information namely age, course, gender, location are included. Using this data collection, a hybrid model using Convolutional Neural Network (CNN) and Recurrent Neural Networks (RNN) is to be built and validated in real time for predicting the cognitive ability of a learner.
THE CONVERGENCE OF MULTIPLE MODELS OF MOTIVATION FOR SECOND LANGUAGE LEARNING : GARDNER

This research was facilitated by a research grant ftom rhc Social Sciencec and Humanities Rcsearch Council of Canada" Ve would like to thank thc tcgchcrs, stafi, and sndens of Btcton Education Centre in Ncw l(/aterfotd, Nova Scotia, Cana& for panicipating in thi.s study. Vc would lile to acknowledge the assistancc of Brcnna Frascr and Roger Covin. Correspondcncc relatcd to dtis rcscarch rhould bc rcnt to Pctcr Meclntyrc, University College of Cape Bteton, Sydney, Nova Scotia, Qnada BIP 6L2, c-mail pmacinty@uccb.rs. ca
Changes in chemical composition and total energy as affected by fermentation and/or cooking of pearl millet flour supplemented with Moringa or fenugreek seeds flour

The effect of fermentation followed by cooking of pearl millet flour (PMF) supplemented with defatted Moringa flour (DMF) or defatted fenugreek flour (DFF) on chemical composition and total energy was investigated. Defatted freeze-dried seeds powder of Moringa or fenugreek was added at different levels (5, 10 and 15%) to PMF using Pearson square.PMF, DMF and DFF had varying chemical compositions and total energy with DMF exhibiting significantly (p < 0.05) higher crude protein (CP) and total energy contents than PMF and DFF. The dry matter (DM), ash, CP and crude fiber contents were significantly (p < 0.05) increased after supplementation with DMF but the total energy content was decreased. However, supplementation with DFF significantly (p < 0.05) increased the chemical compositions and total energy except crude fiber and carbohydrate. The chemical compositions and total energy varied among the different levels of supplementation. Fermentation of both raw and DMF supplemented millet dough significantly (p < 0.05) increased the CP and oil contents. However the CP and carbohydrate content were significantly (p < 0.05) increased after fermentation of DFF supplemented millet dough with highest values obtained after 16 h fermentation. Cooking of raw millet dough and DMF and DFF supplemented dough improved the ash, CP and crude fiber contents while other chemical compositions and total energy content fluctuates. Fermentation followed by cooking of PMF supplemented with DFF and DMF improved the chemical compositions while the total energy content was not significantly affected. on the antioxidant compounds and antioxidant capacities of seaweed. Sargassum polycystum portrayed the most antioxidant compounds (37.41 ± 0.01 mg GAE/g DW and 4.54 ± 0.02 mg CE/g DW) and capacities (2.00 ± 0.01 μmol TEAC/g DW and 0.84 ± 0.01 μmol TEAC/g DW) amongst four species of seaweed.
Role of Preoperative Embolisation : Systemic Review of the importance of following up the neurological deficit and preoperative complication in meningioma with perioperative embolis

The importance of preoperative embolisation in intracranial meningiomas has caught the eyes of several researchers and authors. Preoperative embolisation has been shown by several studies and authors to have several benefits in managing meningiomas by craniotomy. Some of the benefits include a reduction in blood loss, reduced surgical complications and improved outcome. Even though the procedure is said to have several benefits, its application as a standard practice is limited because of several reasons. One of the reasons for the limiting its application as a standard practice is lack of randomized clinical trials on its usefulness. As such, a conclusion on its usefulness in managing meningioma cannot be made. Preoperative embolisation may not be indicated for every patient with meningioma.
Spanish Deadjectival Verbs : Argument Structure and Lexical Derivation

Introduction: Spanish deadjectival verbs have been compared to adjectival resultative secondary predicates found in other languages both for their argument structure and result interpretation. Of interest in such comparison is the fact that Spanish disallows the latter construction syntactically, though alternative constructions exist that allow equivalent semantic interpretations. The current proposal focuses on Spansih deadjectival verbs in light of these investigations and argues the following: 1. that Spanish deadjectival verbs share the same underlying structure as adjectival resultative secondary predicates found in such languages as English; 2. that there exists a difference in interpretation of the result state implied by the two constructions; and 3. that this difference arises as a result of morphological conflation and the interpretation of PATH as BECOME. Background: Spanish deadjectival verbs are formed on an adjectival base, attributing the verb’s internal argument with the state denoted by the adjective. Deadjectival verbs exhibit both causative (1a) and inchoative (1b) structures:
Aircraft Taxiing Strategy Optimization

Developments in aviation technology have led to the emergence of new aircraft taxiing strategies such as electric driven aircraft nose gear. Selecting appropriate aircraft taxiing strategies is crucial in view of increasing concerns surrounding airport ground emission and fuel consumption. This paper reports on the performance of strategies regarding aircraft taxiing processes at airports. The research aims to optimize emission reductions hence simultaneously minimizing fuel consumption. The performance measurements of taxiing operations were based on total emissions and fuel consumption. Daily data on aircraft arrivals and departures, runways and gates were analyzed, and the preferred aircraft taxiing strategy was presented. Amsterdam Schiphol Airport and Kuala Lumpur International Airport were selected as the case studies. The International Civil Aviation Organization, (ICAO) emissions database was used to determine the emission index and fuel-burning index for each type of aircraft. In order to model the taxiing strategies, discrete event modeling tools of DELPHI 7 with THOMAS compiler were used. The performances linked to each strategy were compared between airports. The estimated effectiveness of each strategy was evaluated. On the basis of this analysis, recommendations are made for future research so that aircraft taxiing performance at both airports can be improved.
Does InconsIstency UnDerlIe DIssonance oUtcomes ?

I first got to “know” Elliot Aronson through his writings, particularly his books, The Social Animal (1988) and Methods of Research in Social Psychology (Aronson, Ellsworth, Carlsmith, & Gonzales, 1990), and his papers on cognitive dissonance theory (Aronson, 1968, 1969, 1992; Aronson & Carlsmith, 1962; Aronson & Mills, 1959). His writing conveyed a contagious passion for psychological research. So when I first met Elliot in 1997 at the dissonance conference in Arlington, Texas, I told him, “I think you’re the best writer in psychology. ” He leaned over and replied, “You know what, I agree with you. ” We shared a big laugh, the first of many. Each time I see Elliot, he makes me laugh. His writing on dissonance inspired me to read everything I could about the theory. And at the time I was reading about dissonance theory, around 1990, it seemed that much of the field had become convinced that the cognitive and behavioral changes caused by “dissonance” manipulations were not due to a motivation to resolve cognitive inconsistency (Festinger, 1957) or self inconsistency (Aronson, 1968). The field appeared to have for the most part accepted that these effects were due to a motivation to avoid feeling personally responsible for producing an aversive consequence (Cooper & Fazio, 1984) or due to a motivation to minimize a general self-image threat (Steele, 1988). But I had the nagging feeling that inconsistency alone was sufficient to
Motivational interviewing training in criminal justice: Development of a model plan

The recent push toward evidence-based practice (EBP) has brought new attention to correctional practice. EBP stresses that the programs and services we offer to offenders should be those that are related to subsequent reductions in recidivism (e.g. rearrest, reconviction, reincarceration). Research suggests that effective correctional programs share similar characteristics in terms of targeting offender risk, needs, and responsivity. For instance, a number of studies show that programs that match higher-risk offenders to more intensive services (e.g., risk) and address dynamic criminogenic factors (e.g., needs) can significantly reduce recidivism (Andrews & Bonta, 2003; Andrews, Zinger, Hoge, Bonta, Gendreau, & Cullen, 1990). However, there has been much less research on the EBP principle of responsivity, which suggests that providers interact with offenders in ways that will effectively engage the offender. In placing Motivational Interviewing (MI) within an EBP framework, MI is best understood in terms of its consistency with the responsivity principle, because it suggests a way of talking with offenders to increase motivation for change.
C-reactive protein to albumin ratio as prognostic markers in patients with advanced non-small cell lung cancers treated with tyrosine kinase inhibitors

Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI) have demonstrated a dramatic response rate and prolonged progression free survival (PFS) in patients harboring an activating EGFR mutation, but reliable prognostic markers are lacking. High C-reactive protein to albumin ratio (CAR) is a marker of host systemic inflammation and associated with poor outcome in various carcinomas, but has not been analyzed in advanced NSCLC patients treated with EGFR-TKI. We retrospectively analyzed 392 advanced NSCLC patients with activating EGFR mutations to examine the predictive value of CAR in the era of targeted therapy. The optimal cutoff level of CAR was set at 0.146 according to the receive operating characteristic (ROC) analysis. Survival analysis was determined using the Kaplan-Meier analysis and prognostic factors were determined using a Cox proportional hazards model. We found that high CAR (≥0.146) was associated with poorer PFS and lower objective response rate. Subgroup analysis of both gefitinib and erlotinib showed that CAR was significantly associated with PFS. Multivariate analysis showed that pretreatment CAR was an independent predictive marker for PFS (HR: 1.48, 95% CI: 0.96-1.33). The findings of the present study demonstrated that advanced NSCLC patients with activating EGFR mutations who have pretreatment CAR values higher than 0.146 should be considered to have a high risk of early EGFR-TKI treatment failure.
Electromagnetic compatibility (EMC) of powered wheelchairs and scooters

Based on recent reports of powered wheelchairs exhibiting unintended movement, laboratory tests were performed at the Center for Devices and Radiological Health (CDRH) to examine the susceptibility of these devices to interference from radio and microwave transmissions. The testing confirmed that these devices are susceptible to electromagnetic interference (EMI). CDRH has developed an EMC testing protocol for powered wheelchairs and scooter over the frequency range of 26 MHz to 1 GHz [ANSI/RESNA WC/14 1990 Draft Standard for Testing of Power and Control Systems for Electric Wheelchairs]. The protocol was presented to the RESNA standards committee for possible inclusion into the voluntary RESNA Electric Wheelchair Standard, Part 14 [CDRH/FDA Proposed EMC Addition to the draft ANSI/RESNA WC/14, amended November 1993]. Here, the authors describe some of the EMI concerns for medical devices as well as test methods and results. The need to improve EMI immunity is an important issue for medical devices. <<ETX>>
Seasonal Study for Habitat of Myriophyllum spicatum L. in Al-Burgga Marsh, Hor Al-Hammar, Southern Iraq

Myriophyllum spicatum distribution in Al-Burgga marsh, Hor Al-Hammar was described in relation to some of the physical-chemical properties for its habitat (water depth, light penetration, water temperature, water salinity, pH, dissolved oxygen, Ca+2, Mg+2, reactive NO2=, reactive NO3-1, and reactive PO4-3) during 2011, seasonally. CANOCO ordination program (CCA) was used to analyse the data. Its vegetation cover percentage was with its peak at summer, its value was 90 %, while the lowest value was 20 % in winter. Statistically, Positive relationships for WT, sal. , Ca+2, Mg+2, reactive NO2=, reactive NO3-1, and reactive PO4-3 with the vegetation cover percentage were observed. While, negative relationships for WD, pH, and DO with the vegetation cover percentage were observed. Also, the negative relationship between light penetration and the vegetation cover percentage can be attributed to the water depth, which was shallow and the light penetration followed water depth and reached to the bottom during all of the period study. In addition, two species were registered with Myriophyllum spicatum community as associated species, which are Hydrilla verticillata and Ceratophyllum demersum.
A High Performance Operational Amplifier Using Coplanar Dual Gate a-IGZO TFTs

We fabricate an operational amplifier (op-amp) composed with the coplanar amorphous indium–gallium–zinc oxide (a-IGZO) thin-film transistors (TFTs). The circuit consisted of 19-TFTs and designed on a glass substrate in both dual gate (DG) and single gate (SG) structure for performance evaluation. Having the yield of a total voltage gain (<inline-formula> <tex-math notation="LaTeX">$A_{v}$ </tex-math></inline-formula>) of 23.5 dB, a cutoff frequency (<inline-formula> <tex-math notation="LaTeX">$f_{c}$ </tex-math></inline-formula>) of 500 kHz, a unit gain frequency (<inline-formula> <tex-math notation="LaTeX">$f_{\mathrm{ ug}}$ </tex-math></inline-formula>) of 2.37 MHz, gain-bandwidth product (GBWP) of 7500 kHz, a slew rate (up/down) of (2.1/1.2) V/<inline-formula> <tex-math notation="LaTeX">$\mu \text{s}$ </tex-math></inline-formula>, and a phase margin (PM) of 102° at a supply voltage of ±10 V, the fabricated DG TFT op-amp demonstrates good performance among all a-IGZO-based literature.
Insecticidal and Antifungal Activities of Crude Extracts and Pure Compounds from Rhizomes of Curcuma longa L. (Zingiberaceae)

The insecticidal and antifungal activities of Curcuma longa L. rhizome extracts and two isolated compounds, namely, ar-turmerone and curcumin, were evaluated. Rhizomes of C. longa were extracted with n-hexane, methylene chloride, methanol and water, successively. Hexane, methylene chloride, and methanol extracts exhibited remarkable insecticidal activity against the larvae of Culex pipiens. The LC50 values were 5.28, 5.82, and 6.44 mg L, respectively, after 48 h. In contrary, the extracts exhibited weak toxic effect on the third instar larvae of Spodoptera littoralis. The LC50 values of water, methylene chloride, and hexane extracts were 495.9, 565.7 and 709.7 mg L, respectively after 48 hours. On the other hand, the extracts showed variable antifungal activity against plant pathogenic fungi, Fusarium oxysporum, Pythium debaryanum, Phytophthora infestans, Fusarium solani and Alternaria alternata. Methanol extract had the highest antifungal activity among the tested extracts with EC50 values of 159.8, 242.7, and 322.2 mg L on P. infestans, F. solani and A. alternata, respectively. Two compounds, namely, ar-turmerone and curcumin were isolated from methylene chloride/methanol (1:1) extract of C. longa rhizomes and their chemical structures were identified by using spectroscopic analysis. Ar-Turmerone had moderate toxicity against C. pipiens larvae. The LC50 values were 158.5 and 117.6 mg L after 24 and 48 hours, respectively. In addition, arturmerone showed moderate antifungal activity against P. infestans (EC50= 588.9 mg L ) and weak activity against F. solani (EC50= 820.6 mg L ). Curcumin caused 51.1 and 54.32% growth inhibition of F. oxysporum and P. infestans at 250 mg L, respectively.
An investigation on delirium and hemodynamics influenced by dexmedetomidine for sedating elderly patients in mechanical ventilation

Objective: This study aims to investigate the influence on delirium and hemodynamics by dexmedetomidine for sedating elderly patients with mechanical ventilation in intensive care unit (ICU). Methods: A total of 80 patients in ICU were recruited in this study from February 2015 to January 2016, and randomly divided into two groups (40 patients in each group). Treatment with dexmedetomidine was carried out in the investigation group, while midazolam were used in the control group. All patients received fentanyl. A comparison was made on the anti-delirium effect and the influence on hemodynamics between the two groups of elderly patients in mechanical ventilation during sedation. Results: Statistical significance was observed in variation of hemodynamic parameters including central venous pressure, heart rate, respiratory rate, and blood oxygen saturation (all P<0.05). No delirium occurred in the investigation group, when compared with 4 subjects experiencing delirium symptom in the control group. However, there was no significant difference between the two groups (P>0.05). The difference for the incidence rate of adverse reaction between the investigation and control group was not statistically significant (both P>0.05). The total dose of fentanyl in the investigation group was lower than that in the control group, with a significant difference (P<0.05). Conclusion: Dexmedetomidine has an anti-delirium effect, a minor influence on hemodynamics, and lower dosage demand for fentanyl. It is worth promoting in future clinical practice.
Psychological and Physiological Acoustics Session 4 pPP : Computational Modeling of Sensorineural Hearing Loss : Models and Applications 4 pPP 3 . Physiological prediction of masking release for normal-hearing and hearing-impaired listeners

Léger et al. (2012c) measured the intelligibility of speech in steady and spectrally or temporally modulated maskers for stimuli filtered into low(< 1.5 kHz) and mid-frequency (1−3 kHz) regions. Listeners with high-frequency hearing loss but near to clinically normal audiograms in the lowand mid-frequency regions showed poorer performance than a control group with normal hearing, but showed preserved spectral and temporal masking release. Here, we investigated whether a physiologically accurate model of the auditory periphery (Zilany et al., 2009) can explain these masking release data. Intelligibility was predicted using the Neurogram SIMilarity (NSIM) metric of Hines and Harte (2010 and 2012). This metric can make use of either an "all-information" neurogram with small time bins or a "mean-rate" neurogram with large time bins. The average audiograms of the different groups of listeners from the study of Léger et al. were simulated in the model by applying different mixes of outer and/or inner hair cell impairment. Very accurate predictions of the human data for both normal-hearing and hearing-impaired groups were obtained from the all-information NSIM metric (i.e., taking into account phase-locking information) with threshold shifts produced predominantly by OHC impairment (and minimal IHC impairment).