Miracle-dz/UniFAR-FTUs huggingface dataset:
A trust model for a multi-agent negotiation

The purpose of this research is to integrate the trust dimension in the negotiation process. Based on an extensive literature review, we address a combinatory formula that computes trust towards a target agent in a negotiation. This formula includes three elements which are the direct reputation of the target agent, the indirect reputation of the target agent, and the difference of beliefs between the two negotiating agents. These elements are computed through five parameters: the negotiation field, the arrangement weight, the arrangement time, the reliability degree, and the importance degree of the target negotiating agent. The proposed model is applied in the case study of a combinatorial auction between one shipper and a set of carriers. Results show that, compared to bid prices and reputation models, our model lead lower costs in determining the winning carriers.
Measurement of narrowband channel characteristics in single-phase three-wire indoor power-line channels

This manuscript reports the measurement results of narrowband signal propagation of PLC channels. In Japan, in-house wiring is single-phase three-wire, and each branch between an outlet of 100 V and the panel board is connected to one of two live conductors and the neutral. Thus a pair of outlets can be classified into three types: connected to different live conductors, connected to the same live conductors by different branches from the panel board, and on the same branch to the same live conductor. It is confirmed that the results of the measurements can be classified by these three types of paths. The results show that frequency responses of narrowband PLC channels are relatively smooth, compared with that of wideband PLC. It is also found that propagation loss in lower frequency range is larger than in higher frequency range. The time independence of narrowband PLC channels are confirmed when no electric appliance is connected to the same live conductor.
Brain signal reference concept using cross correlation based for brain computer interface

The sub system for EEG based brain computer interface system are feature extraction and classification. Translation from brain signal that contain a human intention into computer's command or message should be accomplished with good feature extraction nor classification. One of the methods for analyzing brain signal in feature extraction process is using band power measurement from few or many EEG channels. Recalibration or daily calibration was needed in using brain computer interface instrument. In order to make the feature extraction more reliable, the proposed method is using brain signal reference. To develop brain signal reference, sampling method taken from brain signal when human intention occur. The next feature extraction will analyze whether the signal is similar with signal reference or not. Feature extraction will uses cross correlation method to measure the similarity. Based on the hypothesis that brain will produce the similar signal in the same intention, the brain signal reference concept is the method can be used for feature extraction process. It is also should be considered the level of similarity which it will transfer to classification process in estimating the intention. It is feasible using brain signal reference concept based on cross correlation method.
On the use of cepstral coefficients and Multilayer Perceptron Networks for vocal fold edema diagnosis

Laryngeal diseases affect many professionals who use their voices as the main working tool, such as teachers, singers, radio and TV presenters, among others. Advanced diagnosis techniques of these diseases are typically invasive, causing much discomfort to the patient. In recent years techniques of digital voice processing have been investigated to obtain non-invasive systems to aid the diagnosis by a specialist. This work proposes a method of analysis that employs cepstral coefficients to represent the voice signals, and multilayer perceptron neural networks for discrimination among normal voice, voices affected by local fold Edema and voices affected by other pathologies (nodules, cysts and paralysis). An experimental evaluation of the method has demonstrated that this is a promising approach to the problem, reaching a correct classification rate above 99% for normal voice, 96% for Edema and 93% for other pathologies.
The validity of heart failure diagnoses in the Finnish Hospital Discharge Register

Background: Contemporary validation studies of register-based heart failure diagnoses based on current guidelines and complete clinical data are lacking in Finland and internationally. Our objective was to assess the positive and negative predictive values of heart failure diagnoses in a nationwide hospital discharge register. Methods: Using Finnish Hospital Discharge Register data from 2013–2015, we obtained the medical records for 120 patients with a register-based diagnosis for heart failure (cases) and for 120 patients with a predisposing condition for heart failure, but without a heart failure diagnosis (controls). The medical records of all patients were assessed by a physician who categorized each individual as having heart failure (with reduced or preserved ejection fraction) or no heart failure, based on the definition of current European Society of Cardiology heart failure guidelines. Unclear cases were assessed by a panel of three physicians. This classification was considered as the clinical gold standard, against which the registers were assessed. Results: Register-based heart failure diagnoses had a positive predictive value of 0.85 (95% CI 0.77–0.91) and a negative predictive value of 0.83 (95% CI 0.75–0.90). The positive predictive value decreased when we classified patients with transient heart failure (duration <6 months), dialysis/lung disease or heart failure with preserved ejection fraction as not having heart failure. Conclusions: Heart failure diagnoses of the Finnish Hospital Discharge Register have good positive predictive value and negative predictive value, even when patients with pre-existing heart conditions are used as healthy controls. Our results suggest that heart failure diagnoses based on register data can be reliably used for research purposes.
An IoT System for Remote Health Monitoring in Elderly Adults through a Wearable Device and Mobile Application

With the increase in global life expectancy and the advance of technology, the creation of age-friendly environments is a priority in the design of new products for elderly people healthcare. This paper presents a proposal for a real-time health monitoring system of older adults living in geriatric residences. This system was developed to help caregivers to have a better control in monitoring the health of their patients and have closer communication with their patients’ family members. To validate the feasibility and effectiveness of this proposal, a prototype was built, using a biometric bracelet connected to a mobile application, which allows real-time visualization of all the information generated by the sensors (heart rate, body temperature, and blood oxygenation) in the bracelet. Using these data, caregivers can make decisions about the health status of their patients. The evaluation found that the users perceived the system to be easy to learn and use, providing initial evidence that our proposal could improve the quality of the adult’s healthcare.
Comparative Study between an Immediate Loading Protocol Using the Digital Workflow and a Conventional Protocol for Dental Implant Treatment: A Randomized Clinical Trial

Background: The purposes of this randomized clinical trial study was to compare the immediate loading of dental implants while employing digital workflow and conventional implants in terms of the success rate, marginal bone level, and patient satisfaction. Methods: Fifty patients who had edentulous area on the mandibular premolar or molar area were included in the study. Twenty-five patients were assigned to immediate loading implant treatment using the digital technique and 25 patients were assigned to conventional loading implant treatment. In the first group, the patients were received digital impression (Cerec Omnicam, Dentsply Sirona®, York, PA, USA), designed, producing zirconia crown, and inserted on the same surgery day. The second group, after a healing period of three months, was received analog impression following conventional impression for the zirconia crown. Clinical outcome and radiographic bone level were evaluated after three, six, and 12 months. Patient satisfaction was measured at 12 months after inserting the implant. Results: There was no implants and protheses failure in both groups. The mean resonance frequency analysis values at the day of surgery were 78.26 ± 4.09 in immediate loading using the digital group (ILD) and 73.74 ± 5.14 in the conventional loading group (CL), respectively. Insertion torque values at the day of surgery were 36.60 ± 12.64 in ILD and 38.8 ± 12.19 CL, respectively. The marginal bone level in CL at three, six, and 12 months were 0.14 ± 0.28 mm, 0.18 ± 0.30 mm, and 0.17 ± 0.29 mm, respectively, while in ILD at three, six, and 12 months were 0.18 ± 0.33 mm and 0.16 ± 0.27 mm and 0.15 ± 0.31, respectively. There was no statistically significant difference between the two groups. Only one question in patient satisfaction’s questionnaire was “Now, can your dental implant and crown be used well? ” had been significantly different in favor to the conventional group. Conclusion: Within the limitation of this study, it may be concluded that, after one-year follow up, there were no statistically significant differences between the immediate loading of dental implants employed from the digital workflow and conventional implant treatment technique in the success rate and marginal bone level. In patient satisfaction, there was only statistic significant difference in question related to implant prosthetic function in favor of the CL group, whereas the question concerning speaking, cleansing, price, and expectation displayed no difference.
Fuzzy Logic Type-2 Based Wireless Indoor Localization System for Navigation of Visually Impaired People in Buildings

The ability to precisely locate and navigate a partially impaired or a blind person within a building is increasingly important for a wide variety of public safety and localization services. In this paper, we explore indoor localization algorithms using Bluetooth Low Energy (BLE) beacons. We propose using the BLE beacon’s received signal strength indication (RSSI) and the geometric distance from the current beacon to the fingerprint point in the framework of fuzzy logic for calculating the Euclidean distance for the subsequent determination of location. According to our results, the fingerprinting algorithm with fuzzy logic type-2 (hesitant fuzzy sets) is fit for use as an indoor localization method with BLE beacons. The average error of localization is only 0.43 m, and the algorithm obtains a navigation precision of 98.2 ± 1%. This precision confirms that the algorithms provide great aid to a visually impaired person in unknown spaces, especially those designed without physical tactile guides, as confirmed by low Fréchet and Hausdorff distance values and high navigation efficiency index (NEI) scores.
Methods and Tools for Designing and Developing Usable Multi-Platform Interactive Applications

ABSTRACT The increasing availability of new types of interaction devices raises the need for new methods and tools to support the design and development of highly usable context-sensitive nomadic applications accessible through multiple platforms. This paper provides an overview and discusses a solution based on the use of multiple levels of abstractions, which has been studied within the framework of the European project CAMELEON. Moreover it addresses the problem of evaluating the usability of these tools by discussing the specific issues, the criteria and methodologies applied as well as some results obtained in an experimental activity on the subject. Keywords: nomadic, multi-platform, context-aware, model-based . Received 23 January 2004; received in revised form 1 April 2004; accepted 6 April 2004. 1. Introduction With the advent of the wireless Internet and the rapidly expanding market of smart devices, designing interactive applications supporting multiple platforms has become a difficult issue. In fact, on the one hand the decreasing cost at which the devices are now offered has enabled an increasing variety of people to become potential users of features and services of novel generations of communication technology as never before. On the other hand, rarely such a high number of flourishing range of opportunities offered have become effective, due to the low quality of the user interfaces provided to the users.
Approach of extracting scene frames from E-comic based on a multiple Gabor filters for adapting to mobile devices

The number of the mobile devices has a great growth over the last decades. The development of mobile devices has brought a significant increase of users who view comic online by mobile devices. A key challenge for viewing comic online by mobile devices is offering suitable sized contents of comic to mobile devices. This leads to the development of E-comic scene frame extraction approaches. In this scenario, this paper proposed a multiple Gabor filters based on automatic E-comic scene frame extraction approach to solve this issue. The results show that the proposed approach works efficiently in the existing E-comic segmentation system, which outperforms the existing state-of-the-art approaches.
Disease Ontology Semantic and Enrichment analysis

Disease Ontology (DO) provides an open source ontology for the integration of biomedical data that is associated with human disease. DO analysis can lead to interesting discoveries that deserve further clinical investigation. DOSE was designed for semantic similarity measure and enrichment analysis. Four information content (IC)-based methods, proposed by Resnik [Philip, 1999], Jiang [Jiang and Conrath, 1997], Lin [Lin, 1998] and Schlicker [Schlicker et al., 2006], and one graph structure-based method, proposed by Wang [Wang et al., 2007], were implemented. These methods were also implemented in our GOSemSim [Yu et al., 2010] package for measuring GO-term semantic similarities. Hypergeometric test [Boyle et al., 2004] was implemented for enrichment analysis. To start with DOSE package, type following code below:
Mortality and potential years of life lost by road traffic injuries in Brazil, 2013

ABSTRACT OBJECTIVE To estimate the potential years of life lost by road traffic injuries three years after the beginning of the Decade of Action for Traffic Safety. METHODS We analyzed the data of the Sistema de Informações sobre Mortalidade (SIM – Mortality Information System) related to road traffic injuries, in 2013. We estimated the crude and standardized mortality rates for Brazil and geographic regions. We calculated, for the Country, the proportional mortality according to age groups, education level, race/skin color, and type or quality of the victim while user of the public highway. We estimated the potential years of life lost according to sex. RESULTS The mortality rate in 2013 was of 21.0 deaths per 100,000 inhabitants for the Country. The Midwest region presented the highest rate (29.9 deaths per 100,000 inhabitants). Most of the deaths by road traffic injuries took place with males (34.9 deaths per 100,000 males). More than half of the people who have died because of road traffic injuries were of black race/skin color, young adults (24.2%), individuals with low schooling (24.0%), and motorcyclists (28.5%). The mortality rate in the triennium 2011-2013 decreased 4.1%, but increased among motorcyclists. Across the Country, more than a million of potential years of life were lost, in 2013, because of road traffic injuries, especially in the age group of 20 to 29 years. CONCLUSIONS The impact of the high mortality rate is of over a million of potential years of life lost by road traffic injuries, especially among adults in productive age (early mortality), in only one year, representing extreme social cost arising from a cause of death that could be prevented. Despite the reduction of mortality by road traffic injuries from 2011 to 2013, the mortality rates increased among motorcyclists.
The infrastructure of a global field of arbitrary unit rank

In this paper, we show a general way to interpret the infrastructure of a global field of arbitrary unit rank. This interpretation generalizes the prior concepts of the giant step operation and f-representations, and makes it possible to relate the infrastructure to the (Arakelov) divisor class group of the global field. In the case of global function fields, we present results that establish that effective implementation of the presented methods is indeed possible, and we show how Shanks' baby-step giant-step method can be generalized to this situation.
Spatial Differences in Multi‐Resolution Urban Automata Modeling

The last decade has seen a renaissance in spatial modeling. Increased computational power and the greater availability of spatial data have aided in the creation of new modeling techniques for studying and predicting the growth of cities and urban areas. Cellular automata is one modeling technique that has become widely used and cited in the literature; yet there are still some very basic questions that need to be answered with regards to the use of these models, specifically relating to the spatial resolution during calibration and how it can impact model forecasts. Using the SLEUTH urban growth model ( Clarke et al. 1997 ), urban growth for San Joaquin County (CA) is projected using three different spatial grains, based on four calibration routines, and the spatial differences between the model outputs are examined. Model outputs show that calibration at finer scaled data results in different parameter sets, and forecasting of urban growth in areas that was not captured through the use of more coarse data.
Clinical Application of Near-Infrared Thoracoscopy With Indocyanine Green in Video-Assisted Thoracoscopic Anatomical Segmentectomy

Background. To confirm the impact of near-infrared thoracoscopy with intravenous injection of indocyanine green (ICG) during video-assisted thoracic surgery (VATS)-based segmentectomy. Materials and Methods. We retrospectively screened the perioperative data in total 21 patients who underwent segmentectomy by VATS. The segmental arteries and bronchi were identified with the help of preoperative 3-dimensional computed tomography images. Among them, clinical effectiveness and postoperative complications were analyzed. VATS segmentectomy was performed using a 3-port approach with systemic intravenous injection of ICG. Results. A total of 21 patients underwent VATS-based segmentectomy with ICG injection. The mean operation time was 126.19 ± 15.32 minutes, and the mean bleeding volume was 158.10 ± 39.95 mL. In addition, the average drainage volume 1 day after surgery was 153.81 ± 32.19 mL, and mean duration of drainage was 1.62 ± 0.59 days. Complications occurred in 6 of the 21 patients. Two patients had pneumonia, 3 had arrhythmia, and 1 had prolonged air leak. There were no complications resulting from ICG angiography. Conclusions. Near-infrared thoracoscopy with intravenous injection of ICG is a safe, fast, simple, and highly accurate method that can be used to identify the intersegmental plane and facilitate the quality of VATS-based segmentectomy.
Facial Expression Recognition by Supervised Independent Component Analysis Using MAP Estimation

Permutation ambiguity of the classical Independent Component Analysis (ICA) may cause problems in feature extraction for pattern classification. Especially when only a small subset of components is derived from data, these components may not be most distinctive for classification, because ICA is an unsupervised method. We include a selective prior for de-mixing coefficients into the classical ICA to alleviate the problem. Since the prior is constructed upon the classification information from the training data, we refer to the proposed ICA model with a selective prior as a supervised ICA (sICA). We formulated the learning rule for sICA by taking a Maximum a Posteriori (MAP) scheme and further derived a fixed point algorithm for learning the de-mixing matrix. We investigate the performance of sICA in facial expression recognition from the aspects of both correct rate of recognition and robustness even with few independent components.
Multi-view 3D scanned data registration

We propose a new algorithm for registering 3D scans obtained from different views of an object. Our work differs from the popular ICP based approach since we minimize error in signed distance function instead of squared distance between sampled surface points themselves. Our experiments show that this yields a fast and robust method of registering 3D scans into a single 3D model, firstly by simplifying point correspondence step, secondly by requiring fewer registration steps and lastly by using nonlinear optimization (the Levenberg-Marquardt algorithm) for error minimization, making the registration converge in fewer iterations. Our approach is also independent of the sampling resolution and works well in the presence of noise. We also believe that the distance-based error formulation lends itself much better for simultaneous registration of multiple overlapping views.
0 Teen Smoking and Birth Outcomes

We would like to acknowledge the generous financial support of the UPS Foundation. We would also like to thank Panupong Panudulkitti for his excellent research assistance. Abstract Teen mothers in the United States (U.S.) are more likely to give birth to low birth weight babies. Substantial evidence indicates that smoking is a risk factor correlated with low birth weight. Low birth weight is a costly outcome for parents, children, and society at large. This paper examines the causal link between teen smoking behavior and low birth weight. We use a variety of empirical techniques including fixed effects and a matching estimator to identify the impact of smoking on babies of teen and non-teen mothers. Both ordinary least squares (OLS) and matching estimators yield large impacts of smoking on birth weight for teens and adults. However, to the extent that unobservables are fixed over time, they can be controlled using fixed effects. These estimates indicate that the impact of smoking on birth weight is diminished, and there are small differences in the impact of smoking on birth weight between teens and non-teens.
A Two-party certificateless authenticated key agreement protocol without pairing

Authenticated key agreement (AK) protocol is crucial in providing data confidentiality and integrity for subsequent communications among two or more parties over a public network. Certificateless public key cryptography (CL-PKC) combines the advantage of the identity-based public key cryptography (ID-PKC) and the traditional public key cryptography (PKC). Unfortunately, construction of CL-PKC and AK protocols has so far depended on the use of identity-based encryption, which results in the bilinear pairing-based schemes that need costly operations. We present a secure certificateless authenticated key agreement protocol without paring, based on the certificateless encryption scheme proposed by J. Baek et al. It shows that the newly proposed scheme is of nice efficiency and practical. Moreover, it provides perfect forward secrecy, PKG forward secrecy and almost all the other known security attributes, such as known-key secrecy, key-compromise impersonation resilience, unknown key-share resilience, known session-specific temporary information security, message independence and no key control.