Miracle-dz/UniFAR-FTUs huggingface dataset:
Facilitating Management of Opioid Use Disorder: A Review of Mobile Apps and mHealth Tools

Background: Advances in technology engender investigation of technology solutions to Opioid Use Disorder (OUD). However, in comparison to chronic disease management, the application of mobile health (mHealth) to OUD has been limited. Objective: The objectives of this paper are to (1) document the currently available opioid-related mHealth applications (apps) and (2) review past and existing technology solutions that address OUD. Methods: We used a two-phase parallel search approach: (1) app search to determine availability of opioid-related mHealth apps, and (2) focused review of literature to identify relevant technologies and mHealth apps used to address OUD. Results: The app search revealed a steady rise in app development, with the majority of apps being clinician-facing. A majority of the apps were designed to aid in opioid dose conversion. Despite the availability of these apps, the focused review found no study that investigated the efficacy of mHealth apps to address OUD. Conclusions: Our findings highlight a general gap in technological solutions of OUD management, and the potential for mHealth apps and wearable sensors to address OUD. (JMIR Preprints 02/08/2019:15752) DOI: https://doi.org/10.2196/preprints.15752
Current knowledge on very late stent thrombosis

Very late stent thrombosis (VLST) represents a rare, but potentially lethal complication, in the era of percutaneous coronary intervention. Its etiology, pathogenesis, and predictive factors have not yet been established due to its relatively low prevalence and multifactorial nature. In this review article, after presenting the current definitions on stent thrombosis, we focus on the contemporary data on VLST, for both bare‐metal stents and drug‐eluting stents. Possible pathophysiological mechanisms and predictive factors are also illustrated, with data drawn from several multicenter studies. Factors such as younger patients, smokers at the time of initial DES implantation, STEMI or the presence of thrombus at the time of initial DES implantation, overlapping stents, seem to represent independent predictors of VLST. Finally, there is a special reference on cases of VLST, studied with optical coherence tomography (OCT). OCT managed to identify the cause of VLST in over 97% of the cases in these studies, whereas some of the most common mechanisms of VLST in these patients were stent malapposition, neoatherosclerosis rupture, uncovered struts, and stent underexpansion.
MASHAEIR: Bootstrapping a Multi-Dialect Fine- Grained Emotion Thesaurus for Arabic Using Twitter

The user-generated content on social media sites, e.g. Twitter and Facebook, provides a rich source of people's emotions towards products, issues, people and major events. Accordingly, the focus of more research has moved from negative-positive sentiment classification tasks to tasks of recognizing more fine-grained emotions. However, research on and resources for fine-grained emotion identification in Arabic texts are still lacking. To fill in this gap, this paper introduces MASHAEIR (an Arabic word that means ‘emotions’), a corpus-based multi-dialect fine-grained emotion thesaurus for Arabic. MASHAEIR was bootstrapped using 'big data' from Arabic Twitter from January 2007 to July 2015. The thesaurus is enriched with (i) different types of singleas well as multi-word terms expressing emotions, (ii) Arabic dialectal variations in the expression of emotions and (iii) scores that reflect the intensity of the emotions conveyed through these units. The paper also presents a simple evaluation of the thesaurus coverage on a sample Twitter corpus. MASHAEIR is intended to present an outline of a large-scale and easy-to-update emotion thesaurus for Arabic that could also be enriched in the future with more information such as gender and age preferences in expressing emotions.
Peripheral axotomy-induced changes of motor function and histological structure of spinal anterior horn

The aim of this study was to evaluate changes of both peripheral motor function and histology of spinal anterior horn in adult rats after unilateral sciatectomy. Ten adult healthy rats served as control group, while in the ten rat experimental group the right sciatic nerve was severed. We followed-up nerve motor function using a sciatic function index and electromyography activity of the gastrocnemious muscle. The rats of the experimental group presented the expected gross locomotor deficit and leg muscle atrophy. At 12 weeks post sciatectomy, L4 and L5 spinal cord segments were removed from the twenty rats and were analysed by istological stereological methods. In the axotomized animals volume of the anterior horn and its content of motor neurons decreased, while the content of astrocytes increased (p < 0.05). Thus, in adult rats, beside the obvious peripheral nerve disfuction, the sciatic nerve axotomy have severe consequences on the soma of the injured motor neurons in the spinal anterior horn. All these quantitative analyses may be usefull to quantify changes occurring in adult animals after axotomy and eventual management to modify the final outcomes in peripheral nerve disorders.
Comparison of Montreal Cognitive Assessment (MOCA) with Mini Mental State Examination (MMSE) on association between homocysteine and cognitive status in epilepsy patients with phenytoin monotherapy

ABSTRACT Mini Mental State Examination (MMSE) has been used as a tool to detect cognitive impairment in patients treated with antiepileptic drugs, however fail to detect mild cognitive impairment in these patients. Studies report Montreal Cognitive Assessment (MOCA) is more sensitive than MMSE in detecting cognitive status in patients with stroke, parkinsonism, cardiovascular disease and epilepsy. Homocysteine has been implicated in the modulation of cognitive impairment in epilepsy but could not be established clearly as most studies followed MMSE. To investigate the relationship between homocysteine and cognitive status the present study employed MOCA in comparison with MMSE in epilepsy population with phenytoin monotherapy. Our findings suggest MOCA is more sensitive than MMSE in demonstrating the relationship between homocysteine and cognitive impairment in epilepsy.
The Spanish Collocation Tool and Its Application in Corpus-Based Study of Spanish for Teaching and Learning

The purpose of this paper is to introduce a developed software program called the “Spanish Collocation Tool (SCT)” and its application in related corpus-based studies. The Spanish Collocation Tool (SCT) was designed to assist with the research and analysis of Spanish collocation. The SCT allows searches of collocated elements not limited to words, but also parts of speech and lemmas. Furthermore, it can compare two collocation lists to detect any significant differences between them. In this study, this collocation tool, SCT, and a constructed L3 Taiwanese learners’ written corpus of Spanish called CEATE were combined to create efficient access to results in a systematic approach. Furthermore, by using the SCT, the pedagogical implications of the search results for the development of on-line multimedia material for learning Spanish collocations are discussed in the end.
A Low-Cost Vehicular Traffic Monitoring System Using Fog Computing

With the rapid increase of vehicles in use worldwide, the need for efficient traffic monitoring systems has arisen. This work proposes a low-cost vehicular traffic monitoring system using IoT devices and fog computing. The system is based on a three-tiered architecture which is composed of (i) the mobile tracking system that records the positions of the vehicles using GPS technologies; (ii) the information gathering system which gathers all the data collected by the mobile tracking system; and (iii) the fog devices that process the data collected and extract the information needed. The system is tested in the town of Corfu during a period of increased tourism when the traffic is considered to be relatively dense. The mobile tracking system devices are placed on taxis and with the help of professional taxi drivers the accuracy of the data collected is evaluated. The system is able to record the movement of the vehicles accurately using its own independent data. The results can be remotely accessed by utilizing fog and cloud computing infrastructure established to process the data and upload it on a server. The system is used to give a better understanding of the speed variance in the center of the town during different dates and hours. In conclusion the system presented in this study can be utilized to monitor the traffic and provide vital information about its behavior in relation to time.
Measurement of Vasomotor Reserve in the Transcranial Doppler-CO2 Test Using an Ultrasound Contrast Agent (Levovist)

Background and Purpose—Determination of vasomotor reserve (VMR) with the transcranial Doppler-CO2 (TCD-CO2) test is used to assess the risk of impending cerebral ischemia in patients with high-grade stenosis or occlusion of the internal carotid artery. In patients with a poor temporal window, however, this examination is limited. The aim of this study therefore was to examine whether the use of an ultrasound contrast agent (USCA) influences the results of the TCD-CO2 test. Methods—In the first part of the study, 6 control subjects and 20 patients were examined with the TCD-CO2 test. The VMR was determined first without the application of a contrast agent and then with continuous infusion of an USCA (Levovist, 300 mg/mL, 1 mL/min). In the second part of the study, 2 tests without USCA were performed in each of 13 patients and 2 tests with USCA infusion were performed in each of 12 patients. Statistical analysis included differences between the VMR determined with the 2 comparative measurements (ΔVMR), the .
Multidisciplinary Rehabilitation in Oesophago-gastric Cancer Surviorship

As survival rates for oesophageal and gastric cancer slowly improve, there has been an emergence of a unique cohort of cancer survivors who present with multifaceted nutritional and physical needs which are amenable to rehabilitative measures. Multidisciplinary rehabilitation in oesophago-gastric cancer has been under explored and accordingly, this thesis aimed to examine i) the feasibility, ii) the efficacy of multidisciplinary rehabilitation in oesophago-gastric cancer survivorship. Study I of this thesis established the feasibility of a 12 week multidisciplinary rehabilitation consisting of supervised and homebased exercise sessions, 1:1 dietary counselling, and group education sessions. Feasibility was demonstrated by the recruitment rate, adherence rates to exercise sessions, lack of adverse events, and positive improvements in cardiorespiratory fitness (VO2max), physical performance (six minute walk test), and global health related quality of life (HRQOL). Importantly, body composition remained stable during the 12 week programme. Study II further investigated the efficacy of the 12 week multidisciplinary rehabilitation programme by Randomised Controlled Trial. The study was powered to detect a change in the primary outcome cardiorespiratory fitness (VO2max). Participants were randomised to a usual care control group (n=22), or intervention group (n=21). Accounting for baseline values, the intervention group experienced statistically significant improvements in VO2max compared to the control group upon completion of the 12 week programme and at 3 month follow-up. As per Study I, body composition remained stable. No changes were observed in any of the secondary measures (six minute walk test, hand grip strength, 1-repitition max, accelerometer measured activity levels, and HRQOL). Study III utilized qualitative methods to explore the challenges faced in returning to physical activity in the first 6 months of recovery post-oesophagogastric cancer surgery. Participants in Study III identified a myriad of issues which are barriers to returning to physical activity post-oesophagogastric surgery, and also reported the need for rehabilitative interventions in the first six months of recovery. The results of this thesis highlight that multidisciplinary rehabilitation is effective, safe, and achievable in this complex cohort.
Rationalizing Musical Time: Syntactic and Symbolic-Numeric Approaches

This paper deals with various problems in quantifying musical time encountered both in the analysis of traditional drumming and in computer-generated musical pieces based on "sound-objects", hereby meaning code sequences controlling a real-time sound processor. In section 1 it is suggested that syntactic approaches may be closer to the intuitions of musicians and musicologists than commonly advocated numeric approaches. Further, symbolic-numeric approaches lead to efficient and elegant solutions of constraint-satisfaction problems relative to symbolic and physical durations, as illustrated in sections 2 and 3 respectively.
Multimodal Fusion of Speech and Gesture Recognition based on Deep Learning

This paper proposes a multimodal fusion architecture based on deep learning. The architecture consists of two forms: speech command and hand gesture. First, the speech and gesture commands input by users are recognized by CNN for speech command recognition and LSTM for hand gesture recognition respectively. Secondly, the obtained results are searched by keywords and compared by similarity degree to obtain recognition results. Finally, the two results are fused to output the final instructions. Experiments show that the proposed multi-mode fusion model is superior to the single-mode fusion model.
Review of Research on Text Sentiment Analysis Based on Deep Learning

Sentiment analysis is part of the field of natural language processing (NLP), and its purpose is to dig out the process of emotional tendencies by analyzing some subjective texts. With the development of word vector, deep learning develops rapidly in natural language processing. Therefore, the text emotion analysis based on deep learning has also been widely studied. This article is mainly divided into two parts. The first part briefly introduces the traditional methods of sentiment analysis. The second part introduces several typical methods of sentiment analysis based on deep learning. The advantages and disadvantages of sentiment analysis are summarized and analyzed, which lays a foundation for the in-depth research of scholars.
Consistency of Ocular Palpation Tonometry with Goldman Applanation Tonometry and Its Reproducibility by Separate Examiners

DOI:10.14744/bej.2018. 08370 Beyoglu Eye J 2018; 3(3): 105-108 Original Article Ozveren et al., Consistency and reproducibility of palpation tonometry 106 results for patients with corneal scar or edema and patients with corneal transplantation, so other tonometry options are also commonly used for these patient groups (4, 5). Ocular palpation tonometry (OPT) (digital tonometry, tactile tonometry, and IOP palpation) technique is a fast, cheap, and practical method which is commonly used for IOP measurement for the above-mentioned situations and for screening purposes (6). Some studies analyzing the accuracy of OPT reported high accuracy rates when performed by experienced hands (7), whereas other studies reported poor accuracy except for very high IOP values (8). Some investigators focused on the hypothesis that accuracy of OPT can be enhanced by practice and experience and claimed that OPT can be enhanced enough to be used with high accuracy (4, 7). In literature, some reports suggested that the blind people may be more successful to perform OPT due to their enhanced tactile perceptions and these people can be employed for IOP screening (9). In this study, we aimed to evaluate the accuracy, reproducibility of OPT, and its feasibility as a screening method.
Jitter transfer and jitter tolerance analysis of bang-bang clock and data recovery circuits

The clock and data recovery (CDR) circuit is a key enabling block in modern high speed serial communication systems with applications covering a wide range from wireline long-haul networks to chip-to-chip and backplane communications. Most high-speed CDR circuits employ bang-bang phase detectors for their simple structure and high speed of operation, unlike linear phase detectors. The bang-bang phase detector has two outputs indicating the sign of the phase detector. The two outputs cause the behaviour of the loop to be nonlinear resulting in a difficult analysis. As the bang-bang CDR circuit became the most popular choice for designers, there was a need for accurate modeling of the loop relating jitter characteristics to design parameters. While there are many methods presented recently for analyzing bang-bang CDR circuits, in our analysis we will focus on two major methods and use them throughout the thesis. Jitter transfer, as one of the figure of merits of a CDR, is defined and analyzed, followed by the derivation of a more accurate expression that complies with the definition. A second figure of merit, jitter tolerance, is investigated in considerable depth using mathematical tools to simplify the analysis. A simpler expression for jitter tolerance is proposed and compared with existing expressions by means of behavioural simulations. Novel analysis explains the behaviour of the loop in different regions of the jitter tolerance curve. Intellectual Property The information used in this thesis comes in part from the research program of Dr. Tad A. Kwasniewski. The research results appearing in this thesis represent an integral part of the ongoing research program. All research results in this thesis including tables, graphs, and figures but excluding the narrative portions of the thesis are effectively incorporated into the research program and can be used by Dr. Kwasniewski for educational and research purposes, including publication in open literature with the appropriate credits. Matters of intellectual property may be pursued cooperatively with Carleton University and Dr. Kwasniewski where and as applicable.
A Comparative Study of P-I, I-P, Fuzzy and Neuro-Fuzzy Controllers for Speed Control of DC Motor Drive

This paper present a comparative study of various controllers for the speed control of DC motor. The most commonly used controller for the speed control of dc motor is Proportional- Integral (P-I) controller. However, the P-I controller has some disadvantages such as: the high starting overshoot, sensitivity to controller gains and sluggish response due to sudden disturbance. So, the relatively new Integral-Proportional (I-P) controller is proposed to overcome the disadvantages of the P-I controller. Further, two Fuzzy logic based controllers namely; Fuzzy control and Neuro-fuzzy control are proposed and the performance these controllers are compared with both P-I and I-P controllers. Simulation results are presented and analyzed for all the controllers. It is observed that fuzzy logic based controllers give better responses than the traditional P-I as well as I-P controller for the speed control of dc motor drives. Keywords—Proportional-Integral (P-I) controller, Integral- Proportional (I-P) controller, Fuzzy logic control, Neuro-fuzzy control, Speed control, DC Motor drive.
Nonlinear Analysis Using Multiple Cutoff Frequencies for Local Cerebral Blood Flow during Biofeedback Training

Biofeedback (BF) is expected not only as a means for gaining control of bodily processes to increase relaxation, relieve pain and improve health, but also to develop and improve the brain's body control function. The aim of the biofeedback training (BFT) is to promote the recovery and the development of physical dysfunctions under consciousness. A BF instrument has three tasks. First is to monitor (in some way) a physiological process of interest. Second is to measure (quantify) what is monitored. Third is to present what is monitored or measured as meaningful information. One technique for non-invasive measurement of brain activity that has been developed in recent years is brain functional imaging using near-infrared spectroscopy (NIRS). Compared to other techniques of measurement of brain activity, NIRS is a low-restraint and non-invasive measuring technique. In addition, it enables a user to take electrophysiological measurements such as Electromyography and Electrocardiography during training activity or other movements. In recent years, NIRS has a high profile for investigations of the relationship between physical control and brain function. Original Research Article Tanimura et al.; JAMMR, 28(6): 1-12, 2018; Article no.JAMMR. 45371 2 Here, we investigated the connection between BFT and local cerebral blood flow, by performing cranial NIRS with simultaneous electromyogram (EMG), recording from the rectus femoris muscle. Our results suggest that We have succeeded in findings of the nonlinearity for hemodynamics in the cerebral blood flow on the frontal lobe during the muscle contraction and the post-rest.
Design and Implementation of a Decision Support System for Production Scheduling in the Context of Cyber-Physical Systems

The use of cyber-physical systems in production promises great potential for production scheduling since a larger information base is available for the scheduling of production orders. However, the mere acquisition of real-time data does not inherently lead to improvements. On the contrary, a targeted preparation of the data is required in order to prevent an information overload. Decision support systems that support decision makers in production scheduling can perform this task. However, the design of such systems in combination with cyber-physical systems has hardly been investigated so far. In this paper, we therefore design and implement a corresponding decision support system in a design science approach. For this, we identify meta-requirements based on a literature analysis and an interview study. Finally, we evaluate the created meta-artifact in a laboratory setting in order to obtain generalizable knowledge about building such a decision support system.
Information and Learning in Mechanism Design

This dissertation studies the design of mecanisms in settings where information acquisition or communication are significant features of the environment. The first chapter, coauthored with Xiaosheng Mu, studies a dynamic pricing model where buyers have the ability to learn about their value for a product over time. A seller commits to a pricing strategy, while buyers arrive exogenously and decide when to make a one-time purchase. The seller seeks to maximize profits against the worst-case information arrival processes. We show that a constant price path delivers the optimal profit, which is also the optimal profit in an environment where buyers cannot delay. The second chapter develops a model of costly information acquisition, focusing on an application to scientific research. It shows that non-transparency can induce a scientist to undertake a costlier but more informative experiment if it also enables her to commit to acting scrupulously. Using this insight, this chapter demonstrates the general existence of non-degenerate experiment costs such that greater transparency in scientific methodology results in research choices that are worse for those interested in the results. The third chapter develops a model of delegated project choice with mulitple agents, considering the impact of competition in these settings. Under an alignment assumption (which ensures the optimality of full discretion in the single-agent case), optimal mechanisms entail stochastic agent choice but deterministic project choice. Without alignment, deterministic project choice may be suboptimal. Without the ability to randomize allocations, competition can be harmful for the principal.