Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Different Visualization Techniques for Perception-Based Alignment in Medical AR

Many Augmented Reality (AR) applications require the alignment of virtual objects to the real world; this is particularly important in medical AR scenarios where medical imaging information may be displayed directly on a patient and is used to identify the exact locations of specific anatomical structures within the body. For optical see-through AR, alignment accuracy depends both on the optical parameters of the AR display as well as the visualization parameters of the virtual model. In this paper, we explore how different static visualization techniques influence users’ ability to perform perception-based alignment in AR for breast reconstruction surgery, where surgeons must accurately identify the locations of several perforator blood vessels while planning the procedure. We conducted a pilot study in which four subjects used four different visualization techniques with varying degrees of opaqueness and brightness as well as outline contrast to align virtual replicas of the relevant anatomy to their 3D-printed counterparts. We collected quantitative scores on spatial alignment accuracy using an external tracking system and qualitative scores on user preference and perceived performance. Results indicate that the highest source of alignment error was along the depth dimension, with users consistently overestimating depth when aligning the virtual renderings. The majority of subjects preferred visualization techniques rendered with lower levels of opaqueness and brightness as well as higher outline contrast, which were also found to support more accurate alignment.
A Comparative Study of the Use of Building Information Modeling in Teaching Engineering Projects

Industrial engineering has incorporated building information modeling (BIM) into its curriculum. This work is a comparative study of the teaching results of engineering projects with and without the use of BIM. This study reports the results of a BIM implementation for a basic engineering project subject in an industrial engineering school. The results were evaluated by surveying the opinions of teachers and students. The teacher evaluations were classified using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) under certain and uncertain conditions. To uncover the possible relationship between students’ overall satisfaction, the use of BIM, and criteria used for the teachers’ evaluation, a factor analysis and multifactor analysis of variance (Multifactor-ANOVA) were performed. The teacher evaluation showed better results in courses with greater use of BIM. The results indicate that the use of BIM in the engineering project subject could improve the acquisition of the assessed skills and positively influence student satisfaction.
Constraints on the Sources and Production Mechanisms of Dissolved Organic Matter in Soils from Molecular Biomarkers

Spatio‐temporal modifications of the composition of dissolved organic matter (DOM) from a wetland in an agricultural catchment were investigated using thermally assisted hydrolysis and methylation with tetramethylammonium hydroxide coupled to gas chromatography and mass spectrometry (THM‐GC–MS). The results were compared with previous data acquired on the same samples using ultraviolet spectroscopy and the stable C isotope ratio. The correlation between molecular markers and bulk‐scale descriptors validated the use of THM‐GC–MS to investigate the fate of DOM in soils. Molecular proxies, including lignin markers, tannin markers, carbohydrates, and fatty acids, were classified into plant‐derived and microbial markers. At the beginning of the hydrologic year, associated with the recharge period, the DOM composition was similar along the depth profile and >70% of the analyzed markers were from plant‐derived origins. The rise in the water table was associated with a shift from vertical to horizontal water flow due to water saturation and resulted in a clear vertical heterogeneity, i.e., a varying composition throughout the profile. In the surface horizons, the proportion of plant‐derived markers remained >70%, while in the deep horizon this proportion was <30%. Last, the lowering of the water table resulted in the homogenization of the DOM composition along the depth profile.
THORIUM DISTRIBUTION AND EXCRETION STUDIES. II. GENERAL PATTERNS FOLLOWING INHALATION AND THE EFFECT OF THE SIZE OF THE INHALED DOSE

A series of single, short-term inhalation exposures of rats to thorium chloride aerosols was conducted to study thorium distribution and excretion patterns and the effect of the size of the initial lung thorium burden on these patterns. Soon after exposure, a fraction of the thorium in the lungs was absorbed into the body and the largest portion of this absorbed fraction was deposited in the skeleton. Following this initiai uptake, the organ thorium burdens remained approximately constant while the lung burden decreased with time after exposure accompanied by excretion of thorium predominantly in the feces. The fraction of the lung thorium burden that was absorbed and the fractions excreted in the urine and feces did not appear to be affected by a variation in the size of the initial lung burden by a factor of 1.1 x 10/sup 5/. Calculations of the (MPC)/sub a/ values based on these data yielded a value of 1 x 10/sup -11/ mu c/cm/sup 3/ for both soluble and insoluble natural thorium and soluble Th/sup 232/ compounds. The corresponding value for insoluble Th/sup 232/ compounds was found to be 2.5 x 10/sup -11/ mu c/cm/sup 3/. (auth)
Feature Adaptive Generator Model Calibration

This paper addresses a key challenge in practical applicability of automatic model calibration, namely determining a reasonable set of parameters from grid events. The proposed approach extracts features from the event data and model validation results based on a change point detection algorithm. A similarity-based parameter screening approach together with weighted nonlinear least square optimization are designed to allow for easy integration of the extracted features. The proposed approach shows superior performance in terms of reasonable parameter choice, response accuracy, and computational speed, based on tests with NERC synthetic data and WECC field data.
Inter-network interoperability for heterogeneous networks at the tactical edge

Combining several mobile networks in order to build a federated network at the tactical edge is a challenge because of the high degree of mobility and limited data capacity available in these networks. Providing the different partners in a coalition with direct connectivity at the tactical edge can be beneficial since it allows for better cooperation between capabilities from multiple nations and shortens reaction times compared to traditional hierarchical communication models. This paper describes an experiment performed at the Coalition Warrior Interoperability eXercise (CWIX) 2019 with a Depth First Search (DFS) routing protocol that can be used as an inter-network routing protocol to build a federated network. Norway, the Netherlands and Germany participated in proof of concept tests of the routing protocol that showed that the protocol was functionally able to provide connectivity in all the selected use-cases. The results of the tests will be input to discussions regarding future spirals for the Federated Mission Networking (FMN) specifications.
Iris Segmentation Using Interactive Deep Learning

Automated iris segmentation is an important component of biometric identification. The role of artificial intelligence, particularly machine learning and deep learning, has been considerable in such automated delineation strategies. Although the use of deep learning is a promising approach in recent times, some of its challenges include its high computational requirement as well as availability of large annotated training data. In this scenario, interactive learning offers a cost-effective yet efficient alternative. We introduce an interactive variant of UNet for iris segmentation, including Squeeze Expand modules, to lower training time while improving storage efficiency through a reduction in the number of parameters involved. The interactive component helps in generating the ground truth for datasets having insufficient annotated samples. The effectiveness of the model ISqEUNet is illustrated through the use of three publicly available iris databases, along with comparisons involving existing state-of-the-art methodologies.
Development of a biocompatible patch antenna for retinal prosthesis: comparison of biocompatible coatings

Implantable medical devices are attracting high scientific interest, as they can significantly improve the quality of life of people with chronic diseases. Retinal implants can partially restore vision to the blind with a functional optic nerve. This paper presents the design of biocompatible patch antennas for retinal implants operating at the MedRadio band (401-406MHz). Biocompatibility is ensured by encapsulating the antenna within a biocompatible material. First, a parametric microstrip patch antenna model is considered and the initial antenna design is modified for encapsulation in three different biocompatible materials (Silastic MDX4-4210 medical-grade elastomer, Zirconia and PEEK). Antenna design takes place inside a homogeneous spherical eyeball model in order to take into consideration mismatching caused by surrounding tissues. An automated Quasi-Newton method is used to refine the antenna design in order to achieve the desired tuning properties. The resulting three antenna designs are comparatively assessed in terms of size, tuning properties, safety and radiation performance for telemetry in the MedRadio band (401-406 MHz). Further validation and safety simulations are carried out for antennas implanted in an anatomical eyeball model consisting of four different tissues (sclera, cornea, vitreous humor and lens) in order to explore potential detuning of the antenna caused by its actual operation environment. Simulations for design optimization are performed using the Ansoft HFSS suite, based on the finite element (FE) method, while validation and safety performance studies are carried out using the SEMCAD X suite, based on the finite difference time domain (FDTD) method.
P2Net: A Post-Processing Network for Refining Semantic Segmentation of LiDAR Point Cloud based on Consistency of Consecutive Frames

We present a lightweight post-processing method to refine the semantic segmentation results of point cloud sequences. Most existing methods usually segment frame by frame and encounter the inherent ambiguity of the problem: based on a measurement in a single frame, labels are sometimes difficult to predict even for humans. To remedy this problem, we propose to explicitly train a network to refine these results predicted by an existing segmentation method. The network, which we call the P2Net, learns the consistency constraints between "coincident" points from consecutive frames after registration. We evaluate the proposed post-processing method both qualitatively and quantitatively on the SemanticKITTI dataset that consists of real outdoor scenes. The effectiveness of the proposed method is validated by comparing the results predicted by two representative networks with and without the refinement by the post-processing network. Specifically, qualitative visualization validates the key idea that labels of the points that are difficult to predict can be corrected with P2Net. Quantitatively, overall mIoU is improved from 10.5% to 11.7% for PointNet [1] and from 10.8% to 15.9% for PointNet++ [2].
Critical SCR for the stability of VSC connected to weak grid

Voltage source converter (VSC) has been widely employed in power system. However, when a VSC is connected to weak grid, its stability is challenged. In this paper, a VSC-grid interaction model in sequence domain is proposed. The critical short-circuit ratio (CSCR) for the stability of grid-connected VSC is derived. Furthermore, based on CSCR, the transmission capacity limitation of grid-connected VSC is estimated and quantified. It is found that the CSCR and the maximum power transfer of grid-connected VSC are determined as a function of phase-locked loop (PLL) bandwidth. The theoretical findings are verified by the Generalized Nyquist Stability Criterion (GNC) and time-domain simulation.
Mudanças da fertilidade do solo e crescimento de um povoamento de Eucalyptus grandis fertilizado com biossólido

Before recommending biosolids at large scale for forest plantations it is necessary to have an ample understanding of its effects on soil and plant. Thus, it was evaluated the soil fertility, nutritional status and growth of a Eucalyptus grandis plantation fertilized with biosolid (bios). The trial was established at the Experimental Station of Forest Sciences of Itatinga - ESALQ/USP (Sao Paulo State, Brazil). The experimental design was in complete randomized blocks, with 4 replicates. There were nine treatments, namely: (1) control; (2) mineral fertilization; (3) 5 t ha-1 bios + K; (4) 10 t ha-1 bios + K; (5) 10 t ha-1 bios; (6) 10 t ha-1 bios + K + P; (7) 15 t ha-1 bios + K; (8) 20 t ha-1 bios + K; and (9) 40 t ha-1 bios + K. Soil samples (layers 0-5, 5-10, and 10-20 cm) and leaves were chemically analyzed. The stem wood production was evaluated at harvest by weighing the trees. The pH, soil organic carbon, resin-P, and exchangeable Ca increased in the three soil layers up to 32 months after the biosolid application (36 months after planting) in direct association with the increasing biosolid rates. The S-SO42- and exchangeable K decreased 13 months after the biosolid application and increased again 19 months later. The exchangeable Al in the three sampled soil layers decreased as biosolid dose was increased. The application of 12 t ha-1 of biosolid had a positive influence on plant nutrition and led to a wood yield equivalent to the mineral fertilization treatment (1.5 t ha-1 lime, and in kg ha-1, 98 N, 79.5 P2O5, 165 K2O, 1.3 B, and 1.2 Zn).
Locomotive, principally kinematic system of snakelike robot mathematical model with variable segment length

In this work, we focused on the principle of locomotion and its description using the formalism of geometric mechanics, applied to a specific robotic mechanism. By applying non-holonomic constraints to the mechanism, we know that the speed at which the entire system can move is sideways limited, but without changing the configuration environment. By expressing the language of differential geometry, the nonholonomic constraint is defined by the function on the system’s configuration tangent bundle TQ. Although the non-holonomic constraints prevent us from performing a certain type of movement, in the end it is still true that the mechatronic system can reach a defined point of the manifold $\mathcal{S}E(2)$ when performing a certain combination of possible movements. Among other things, the existing two types of configuration variables affecting the overall locomotion of the mechanism were presented in the work. The first type of configuration variables are the so-called shape variables and the second type are positional variables or also group variables. The work shows that the specific locomotion of a snake-like robot is the result of a suitable combination of changes in shape and position variables.
Distributed Framework for P2P Energy Sharing among Building Prosumers using Stackelberg Game

Rising electricity demand, evolving consumption patterns and distributed generation have resulted in emergence of buildings as strategic players in the active distribution network. Owing to local generation, buildings have emerged as prosumers, capable of sharing energy within their community, also known as Peer to Peer (P2P) energy sharing. Accordingly, a P2P energy sharing model for building prosumers has been presented in this paper. The proposed scheme includes a Stackelberg game model consisting of building prosumers and system operator as players. Stackelberg equilibrium has been obtained, and its existence and uniqueness have been proved. A distributed algorithm has been formulated for optimizing internal trading prices and consumption while maximizing players’ profits. In addition, detailed discussion has been presented on parameter tuning and its effect on performance of the proposed scheme. Further, an incentive re-distribution mechanism has been formulated for rewarding prosumer participation in peak hours. Simulation results depict effectiveness and verification of the proposed scheme.
Partitioning of polycyclic aromatic hydrocarbons from diesel fuel into water

An experimental evaluation of a model derived using Raoult's law convention for activity coefficients and hypothetical supercooled liquid solubilities is presented for the partitioning of eight polycyclic aromatic hydrocarbons (PAHs), all solids in their standard state, between fourdiesel fuels and water. The UNIFAC (UNIQUAC functional group activity coefficient) model was used to calculate the likely nonidealities resulting from infractionsbeen components in the diesel fuel
From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection

Natural language processing (NLP) is a fast-growing field of artificial intelligence. Since the Transformer [32] was introduced by Google in 2017, a large number of language models such as BERT, GPT, and ELMo have been inspired by this architecture. These models were trained on huge datasets and achieved state-of-the-art results on natural language understanding. However, fine-tuning a pre-trained language model on much smaller datasets for downstream tasks requires a carefully-designed pipeline to mitigate problems of the datasets such as lack of training data and imbalanced data. In this paper, we propose a pipeline to adapt the general-purpose RoBERTa language model to a specific text classification task: Vietnamese Hate Speech Detection. We first tune the PhoBERT1[9] on our dataset by re-training the model on the Masked Language Model (MLM) task; then, we employ its encoder for text classification. In order to preserve pre-trained weights while learning new feature representations, we further utilize different training techniques: layer freezing, block-wise learning rate, and label smoothing. Our experiments proved that our proposed pipeline boosts the performance significantly, achieving a new state-of-the-art on Vietnamese Hate Speech Detection (HSD) campaign2 with 0.7221 F1 score.
Effect of Epoxy Resin Spacers on Corona Characteristics in SF6/N2 Mixtures under Positive DC Voltages

Insulator is a very typical weak point of inner insulation in gas-insulated power equipment, which is commonly made of alumina-filled epoxy resin. When a corona discharge is caused by tip defect near the insulator, it may lead to the corona develop into a surface discharge, resulting in insulation degradation. In this paper, we investigate the effect of epoxy resin spacers on corona characteristics in SF6/N2(5:95) mixtures under positive DC voltages. A three-electrode arrangement corona discharge experimental platform was built. For a constant electrode gap spacing, the influence of tip defect location on corona characteristics is analyzed by using the same size epoxy resin spacers. Characteristics of corona were studied including the corona onset voltage, breakdown voltage, current pulse, and changes in corona pattern. The experimental results have shown that the corona onset voltage and breakdown voltage increase first and then saturate with increasing distance between the needle electrode and the dielectric surface. The corona pulse characteristics are not affected by dielectric solid. If the needle electrode is located at the surface of the epoxy resin spacer, the corona will be attracted to the dielectric surface, forming so called surface discharge. If the needle electrode is set away from the surface, corona discharge will also be attracted by the surface and form a “towards dielectric” component. But the surface effect decreases with increasing distance, in our case, the dielectric effect can be neglected if the distance is larger than 12 mm.
Combining Measurements and Simulations for Antenna Coupling Analysis

In numerical simulation of antenna problems, accuracy of antenna representations is essential to ensure the reliability of results. Integration of measured Near Field (NF) representation of antenna in Computational Electromagnetic (CEM) solvers opens new perspectives to solve this problem. This approach has been already studied for complex and/or large scenarios, antenna placement, scattering problems and EMC applications. Another interesting use of the combination between measurement and simulation is to enhance the evaluation of the antenna coupling. Previous investigations have been carried out on an H/V polarized array of three identical cavity-backed cross-dipole antennas. In that study only the radiation pattern of the central element of the array was measured (in a stand-alone configuration), while the other elements were simulated. A good agreement was found between the measured mutual S parameters on the real array and results obtained by the combination between measurement and simulations. In this paper a continuation of the previous study will be performed, exploring both an enhancement of the representation of the NF source by inclusion of placement boundary conditions and the use of measured NF source models to represent the other elements of the array, not only the central one.
Impact of rehabilitation exercises program on adductor muscle strain

Adductor muscle strains are much more detected in football than other sports. (Timothy Tyler et al., 2014), (Jonas Werner et al., 2009), (Lynch and Renstrom, 1999), (Ekstrand and Gillquist, 1983). The Adductors are a group of muscles in the inner thigh that operate in order to contribute flexion, adduction and rotation of the hip joint. (Marieb, 2000), (Calais-Germain, 1993). The Football sport demands a strong eccentric contraction of the adductor muscle while the game and the practice. (John Orchard et al., 2000).
Prevalence of Soil Transmitted Helminths Among Boarding School Children in Sokoto, Nigeria

The study was carried out to investigate the prevalence and intensity of soil transmitted helminths in Almajiri integrated school Sokoto. The school is fully boarding and funded by Islamic Organization (Zaqa’At). Fecal samples of 50 children were collected and analyzed using formol ether concentration technique. A total of (74%) prevalence was recorded. Children between the age of 11-13 showed the highest prevalence of (44%), followed by age group 14-16 which shows (20%), infection and 8-10 age group shows the prevalence of (10%). Differential prevalence of parasite species showed 44% A. lumbricoides, (26%), S. stercoralis and (16%), T. trichuira and (3%) hookworm infection. Data suggested that STH are important public health problem in the studied school and hence actions is imperative against improper disposal of human faeces, insufficient supplies of potable water, poor personal hygiene.