Miracle-dz/UniFAR-FTUs huggingface dataset:
Hepatic Involvement in Hemophagocytic Lymphohistiocytosis

Hemophagocytic lymphohistiocytosis (HLH) is a hyperinflammatory syndrome which results in uncontrolled systemic proliferation of benign macrophages in all reticuloendothelial organs producing worsening peripheral blood cytopenia(s); hypercytokinemia leading to hepatic injury producing hyperferritinemia, hypertriglyceridemia, hypofibrinogenemia; and if not diagnosed and treated early may lead to disseminated intravascular coagulation (DIC), multiorgan dysfunction, and death in nearly all individuals. It is postulated that hepatic injury/dysfunction starts early in the course of the disease which may mimic nonspecific hepatitis like prodrome to fulminant hepatic failure; possibly requiring liver transplant. While HLH as an entity is being increasingly recognized nowadays across wide specialties (both pediatric and adults); hepatic involvement in this setting has been poorly characterized. This chapter is aimed to highlight on the diagnosis and classification of HLH with a special emphasis on the pathophysiology of hepatic dysfunction, histomorphology of liver; and the current concept and controversies on the role of liver transplantation in this clinical setting.
Dynamic Object Tracking and 3D Surface Estimation using Gaussian Processes and Extended Kalman Filter

Dynamic object tracking is a prerequisite for the successful application of driving assistance and autonomous driving functions. With the advent of high resolution Light Detection and Ranging (LiDAR) sensors, more than one measurement emerges from the object’s surface per measurement cycle which leads to an extended object tracking approach. The main research questions of this work are how to model the object’s surface and the measurement model and how to estimate this surface recursively along with the kinematic state, e.g., position and velocities.We model the object extent in spherical coordinates as the radius over the azimuth and elevation angle in object centered coordinates. To this end we apply a recursive formulation of a Gaussian Process (GP) which estimates the surface radius and provides a very flexible and parameter-free model of the object surface. An augmented state space system is formulated with the state comprised of the kinematic state and the radius estimates for a set of basis points. Due to the non-linear measurement equation, an Extended Kalman Filter (EKF) is applied to recursively estimate mean and covariance of the state online over time. The proposed approach is evaluated in simulation given a point cloud model of an actual vehicle.Evaluation results show, that the GP formulation is capable of accurately representing any complex star-shaped surface in a parameter-free fashion. A recursive approximation of the GP enables recursive online tracking performance.
Multiscale Vascular Enhancement Filter Applied to In Vivo Morphologic and Functional Photoacoustic Imaging of Rat Ocular Vasculature

Optical-resolution photoacoustic microscopy (OR-PAM) is used for in vivo imaging of a variety of albino and pigmented eyes taking advantages of requiring no exogenous dye, performing high-resolution imaging, and achieving morphologic and functional imaging at the same time. However, to accurately diagnose the ophthalmic disease in the OR-PAM images, vascular enhancement algorithms are necessary for extracting vessels and quantifying them correctly. Vascular enhancement algorithms developed for other imaging technologies, are not suitable to be used for OR-PAM, because of the underlying differences in the physics of the formation of images. In this study, a new vascular enhancement algorithm called photoacoustic imaging vasculature enhancement filter (PAIVEF) is proposed, which not only enhances vasculature including micro-vessels signals, suppresses noise signals effectively, but also achieves highly sensitive and accurate enhancement of the vasculature within a large depth range in and out of the system's depth of focus (DOF). Using the PAIVEF, the morphologic and functional 3D images of the whole rat's ocular anterior vasculature segment was displayed simultaneously for a depth range of ∼0.6 mm, which was ∼7 times of the system's DOF. This study paves the way for the application of OR-PAM technology in ophthalmic disease research.
Collision-Free Based Model for the Cyclic Multi-Hoist Scheduling Problem

In this paper, we propose a Mixed Integer Linear Programming model for solving a hoist scheduling problem with several transportation resources. This model complements initial work that neglected the risk of collisions between hoists. This new model identifies and manages the various possible collision situations, and it is intended to be integrated as a solution evaluation module in a hybrid algorithm addressing the broader and more complex joint problem of sizing transport resources and scheduling surface treatment workshops. In this global approach, an evolutionary algorithm first generates partially feasible solutions, whose total feasibility is then verified a posteriori, thanks to the proposed new model. This model is validated through tests performed on instances of the literature.
Non-Temporal Lightweight Fire Detection Network for Intelligent Surveillance Systems

Convolutional neural networks (CNNs) have been recently applied to tackle a variety of computer vision problems. However, because of its high computational cost, careful considerations are required to design cost-effective CNNs. In this paper, we propose a CNN inspired by MobileNet for fire detection in surveillance systems. In the proposed network, color features emphasized by the channel multiplier are extracted through depthwise separable convolution, and squeeze and excitation modules further increase the representation of the channel-wise convolution. Custom Swish is used as an activation function to limit exceedingly high weights from the effects of the channel multiplier. Our proposed network achieves 95.44% accuracy for fire detection, which is higher than those achieved other existing networks. Furthermore, the number of parameters used is 38.50% fewer than that of MobileNetV2, the smallest among other networks. We believe that using the proposed CNN, CNN-based surveillance systems could be implemented in lightweight devices without using expensive dedicated processors.
A Temperature-Suppression Power Allocation Strategy for Hybrid Energy Management of EVs

In the hybrid energy storage system of electric vehicles, the high-rate charge and discharge operations typically lead to the significant temperature rise of batteries, which degrades the lifetime of batteries and poses safety awareness. Thus, suppressing the battery temperature rise is of great importance to enforce the reliability and extend the cycling life of batteries. In this paper, we propose a temperature-suppression power allocation strategy to address this issue. Specifically, the pulse technique is integrated into the control loop to reduce the battery average current during each pulse period, which is able to suppress the battery temperature rise efficiently. Meanwhile, the pulse technique is combined with a designed filter-based power allocation algorithm to distribute load power for batteries and supercapacitors. The proposed strategy can suppress the battery temperature rise under the premise of meeting load power requirements. The EPA US06 driving cycles are applied in an experiment platform to verify the effectiveness of the proposed approach.
Assessment of motor imagery in gamma band using a lower limb exoskeleton

The use of a brain-machine interface (BMI) in combination with powered exoskeletons can assist patients with lower limb disabilities to walk again. These neurorobotic systems are commonly based on motor imagery, but their performance may suffer from lack of user engagement in the task or from cognitive load due to multi-tasking. The present paper shows a novel algorithm based on the gamma spectral band, using the Stockwell transform and a set of smoothing filters, to assess the quality of and improve the decoding of motor imagery during the use of a BMI-Rex exoskeleton system. The results computed in a pseudo-online scenario reveal a high accuracy with a very low false positive ratio.
Experimental validation of lane-change intention prediction methodologies based on CNN and LSTM

This paper describes preliminary results of two different methodologies used to predict lane changes of surrounding vehicles. These methodologies are deep learning based and the training procedure can be easily deployed by making use of the labeling and data provided by The PREVENTION dataset. In this case, only visual information (data collected from the cameras) is used for both methodologies. On the one hand, visual information is processed using a new multi-channel representation of the temporal information which is provided to a CNN model. On the other hand, a CNN-LSTM ensemble is also used to integrate temporal features. In both cases, the idea is to encode local and global context features as well as temporal information as the input of a CNN-based approach to perform lane change intention prediction. Preliminary results showed that the dataset proved to be highly versatile to deal with different vehicle intention prediction approaches.
Gender Differences in Esophagus, Stomach, Colon and Rectum Cancers in Fars, Iran, During 2009-2010: An Epidemiological Population Based Study

Background and Objectives: Cancer is the third cause of death in Iran. Gender is an important covariate for incidence of most cancers. So, epidemiological data on Gender differences related to common cancers provide good evidence in control of cancers. The aim of this study was providing population-based information on the gender differences in incidence rates and epidemiology of esophagus, stomach, colon and rectum cancers in the Fars province. Materials and Methods : This study was a secondary data analysis. We studied registered esophagus, stomach, colon and rectum cancers cases in Fars from 2009 to 2010. Direct Annual Age Standardized Incidence Rates (AASIRs) were estimated for men and women. Using STATA software, Females AASIRs and truncated AASIRs at 25 years (TIRR) were compared with males considering age, dominant morphology ratio and tumor grade. Results : Six hundered fourteen cases were studied. The numbers of registered esophagus, stomach, colon and rectum cancers were 78 (%12.7), 254 (%41.4), 182 (%29.6) and 100 (%16.3), respectively. Two hundred thirty one (%37.5) cases were women and 383 (%62.5) were males. TIRR (female/male) for esophagus, stomach, colon and rectum cancers were 0.68 (0.43-1.07), 0.42 (0.32-0.54), 0.71 (0.53-0.96), 0.92 (0.62-1.36), respectively. There were significant relationships between age and gender (p=0.046), tumor grade (p=0.050) and morphology (p=0.004) in case of stomach cancer. For colon cancer age and tumor morphology were significantly related (p=0.019). Conclusion : Risk of Stomach and Colon cancers in females were lower than males in Fars Province. Male gender was a risk factor for stomach adenocarcinoma.
Regional Coordination in Grid Expansion With Offshore Wind: The Case of the Baltic Sea Region

The development of offshore wind in the Baltic Sea Region is expected to contribute to the renewable energy capacity, consequently leading to an expansion of the offshore and onshore grid among the countries in the region. The establishment of new hybrid architectures such as meshed offshore grids, directly connecting offshore wind farms to interconnectors, potentially contributes to taking full advantage of future grid expansions. However, the fact that each country designed their power systems decades ago when regional coordination was not in focus, can potentially destabilise joint efforts if the benefit of the new hybrid infrastructure is not represented also at a national level. In this paper we assess the impact of wind development in the region in a radial vs. hybrid scenario depending on the budget available for the expansion. Furthermore, we identify the specific challenges relative to investment cost distribution and analyse several regulatory frameworks that mitigate the ripple effect of the investment decisions of each country. Finally, we formulate policy recommendations to overcome the investment barrier and suplport coordination in joint regional grid investment.
One-Ended Fault Location Method Based on Machine Learning Models

One-ended impedance based algorithms are the most widely used in fault location, but are prone to several sources of error. In order to overcome these limitations, this paper proposes a new method based on machine learning techniques that uses only the current signals from one of the terminals of the protected line. Clarke's transformation and discrete wavelet energy distribution are used to process the signals, yielding satisfactory results.
Very-High-Speed Miniaturized Permanent Magnet Motors: Modeling and Experimental Validation

The purpose of this paper is to present an experimental method to separate losses components due to the rotation of the rotor in very-high-speed permanent magnet machines with ball bearings. In addition, it presents and validates an analytical model for the computation of induced eddy current losses in rectangular section conductors due to a rotating magnetic field. It also validates an empirical windage losses model. The measurements are performed on a very-high-speed miniaturized permanent magnet motor up to 400 krpm. To the authors’ knowledge it is one of the smallest and fastest electrical motor ever operated.
Thermal Monitoring of Power Electronic Modules with Minimal Sensing Effort

This work proposes a technique that enables the accurate real-time monitoring of junction temperatures and 3-D distributed temperatures in power modules with minimal sensing effort. For that purpose, a 3-D electrothermal real-time model and the temperature information of an integrated nonlinear temperature thermistor are effectively combined in a thermal estimator. The proposed technology is easy to implement for most power converters and has key advantages in comparison to thermal real-time models. It decouples the temperature estimation process from inaccuracies of the thermal model between the base plate and the coolant. Furthermore, it either does not require a coolant temperature sensor or it enables the detection of DCB to base-plate solder degradation or deterioration of the convection process, e.g. due to blockages. The monitoring solution is evaluated on the basis of simulations and experiments with a state-of-the-art automotive power module.
Assessment of a Nine-phase Induction Motor Drive for Metal Industry Applications

Metal industries combine several conditions that match with the advantages of multiphase motor drives, such as high power and high reliability. High power usually means cumbersome multilevel converters, with very expensive high blocking voltage semiconductors. By adding more phases, it is possible to reduce the motor drive voltage levels and use two level converters with more common and less expensive low blocking voltage power modules. High reliability means a smaller probability of unexpected faults and stop of production. Moreover, the possibility to reduce costs with spare parts. Therefore, this paper shows a wire rod plant and characterize the replacement of a traditional three-phase motor drive by a nine-phase one, pointing out the advantages of this alternative.
Aging Effects of Twice Line Frequency Ripple on Lithium Iron Phosphate (LiFePO4) Batteries

The charge/discharge current profile is one of the most important factors that affects the behavior of lithium-ion batteries (LIBs). Most of previous studies evaluate the behavior of LIBs under pure constant current conditions, when in reality battery packs in arguably the most important applications experience alternating currents (AC), superimposed on DC components. So-called ‘ripple currents’ commonly present at twice line frequency (i.e., 100/120 Hz) and their presence forces designers of single-phase AC-DC converters to incorporate a large DC-link capacitor into these devices. And yet, all this effort presupposes that AC ripple constitutes a serious problem, when it is still unclear to what extent the LIB lifetime may be reduced by the presence of 100 Hz ripple current. While many studies claim that AC harmonics accelerate the degradation of LIBs, there are others that refute this. Different chemistries of LIBs have been included in these studies, however, a systematic study on cells with LiFePO4 (LFP) as the cathode material, considered as one of the most promising chemistries in many different applications, has not been done yet. This paper presents the results of a detailed and systematic experimental study on aging impacts of 100 Hz-ripple currents on 13 fresh LFP cells. The degradation of the cells is characterized based on capacity fade and impedance rise. The results show that the superimposed 100 Hz ripple currents do not cause a significant amount of degradation on LFP cells. This means that in many inverters, the size of the DC-link capacitor is probably excessive, thereby allowing a marked reduction in size of this expensive system component.
EVALUATION OF PRIMARY CUTANEOUS MALIGNANT MELANOMA ACCORDING TO BRESLOW AND CLARKE PATHOLOGICAL INDICES

Background: Malignant melanoma is one of the fatal cutaneous neoplasms which are curable by early diagnosis. This neoplasm is diagnosed by the biopsy of the suspected lesion. It is essential to classify the tumor based on its histology, thickness, phase of growth, level of invasion, mitotic rate, presence of regression, inflammatory infiltration and ulceration. These descriptions yield some knowledge about the progression of disease and suggest an estimate of the status of the screening system for early diagnosis. Methods: This is a cross-sectional retrospective descriptive study. Pathological slides with diagnosis of malignant melanoma from 1377 to 1379 that present in the pathology department were assessed according to mentioned pathological indices and the 10-year survival calculated in this regard. Results: We assessed 47 cases with mean age of 57.38 (SD=5.85) and the gender distribution was 51.1% male and 42.2% female. More than 42% of cases were in Clarke level I, 2.1% Clarke level II, 6.4% Clarke level III, 40.4% Clarke level IV and 8.5% Clarke level V. Fifty three percent of patients were breslow thickness equal to or less than 0.75 millimeter(mm) , 8.5% between 0.76 to 1.69 mm , 27.7% between 1.7 to 3.6 mm and 10.6% greater than 3.61 mm. Mean breslow thickness show no significant difference between males and females but there is a significant relation between thickness and age of the patients. Mean 10-year survivals of patients were 75% and were greater in females than males. We found a linear relation between patient age and breslow thickness that is calculated by the following equation: Log Breslow thickness (mm) = - 0.625 + 0.016×age (year) Conclusion: Complete recording of clinical and pathological data of patients with malignant melanoma make a proper stream to reach a surveillance system.
Driver torque steering assisting control considering the uncertainties of the driver’s behavior in following large curvature path

A fuzzy dynamic output-feedback controller is proposed in this paper for assisting driver’s steering torque in following path of large curvature, considering uncertainties of driver’s steering behavior. A driver-vehicle-road (DVR) model based on steering torque is adopted in the controller design. The driver model for path following is under the assumption that the driver utilizes two virtual angles for guidance. Seven characteristic parameters are defined to explain the driver’s steering behavior, and uncertainties of these parameters are considered in the controller design. The Takagi-Sugeno (T-S) fuzzy method is adopted to handle these uncertainties. Then a linear matrix inequalities (LMIs)-based T-S full-order dynamic compensator is designed considering this DVR model to assist driver’s steering for tracking path with large curvature. Simulations in Matlab/Simulink-CarSim environment are conducted to validate effectiveness of the proposed controller. The simulation results show that the designed controller can provide individual assistance for drivers with different proficiencies, and improve driving comfort significantly.
POLITICAL FACTORS' INFLUENCE ON STUDENTS' RECORDS MANAGEMENT EFFECTIVENESS IN THE NIGERIAN UNIVERSITY SYSTEM

Students’ records are critical in achieving university’s goals and objectives. This study therefore examined the political factors that influence students’ records management effectiveness in Nigerian universities. A survey design was employed for the study. The population consisted of 1,123 students’ records officers and 470 university administrators from randomly selected three federal, three state and three private universities in south-south geo-political zone of Nigeria. A stratified random sampling technique was used to select the sample for the study consisting of 564 records officers and 237 administrators giving a sum of 801. A total of 531 copies of the questionnaire were validly completed and returned making it 66.3% successful. Data was collected with a self-structured questionnaire validated with overall Cronbach alpha reliability coefficient =0.81. Descriptive statistics and regression analyses were employed to analyze data processed from responses of the survey. The results revealed that at the 0.05 level of significance, the p-values of (0.0116, 0.3237 and 0.4038) indicated political factors had significant influence on students’ records management effectiveness in the federal universities, but not in the state and private universities. Findings of this research will provide the university administrators and records officers with better understanding of political factors influencing effective management of students’ records in the Nigerian universities.
A Modulation method for DCX LLC Converter to Achieve Fixed Voltage Gain and Bidirectional Power Transfer with Power Limitation Capability

The LLC resonant converter can be used as a dc–dc transformer (DCX) to provide isolation and fixed voltage transfer ratio. In this paper, a modulation strategy is proposed to achieve natural bidirectional power flow for DCX-LLC converters without exchanging the PWM logics and without auxiliary SR circuit. Without loss of generality, the proposed modulation can achieve ZVS of one side switches and ZCS of another side switches. In addition, the converter gain is fixed as long as the converter resonant current is discontinuous. Meanwhile, two additional diodes are added to achieve the constant output power limitation under overload condition.
String Stable CACC under LTE-V2V Mode 3: Scheduling Periods and Transmission Delays

A methodology for obtaining the LTE-V2V Mode 3 semi-persistent scheduling (SPS) period that fulfills the string stability condition in cooperative adaptive cruise control (CACC) is presented and validated for platoons with different vehicle types. Results show that the required SPS period depends on: the control loop parameters, the platoon kinematics, the relative ordering of the vehicles within the platoon and the communication parameters such as the modulation and coding scheme, the packet sizes and the number of assigned radio blocks.