Miracle-dz/UniFAR-FTUs huggingface dataset:
ESI SyNC 2021 DataBlitz: Timetable

These results reveal changes in information flow patterns across sensory and frontal (association) cortices driven by the purpose (echolocation vs. social communication) of the vocalization in a highly vocal mammalian model. In a broader frame, our data suggest that situations in which animals exchange information actively with the environment trigger dynamic switches of information flow in large-scale cortico-cortical networks
Biomimetic Visual Navigation: Understanding the Visual Ecology of Expert Navigators through Virtual Reality

Wood ants thrive as expert navigators in the same cluttered, dynamic, light-variant environments where most robot navigation algorithms fail [1, 2]. Virtual Reality (VR) is a novel technique to study the visual ecology and navigation strategies of these insects [3, 4]. We evaluate the functionality of a novel treadmill and VR system that allows experiments with untethered walking insects [5, 6]. In a series of four experiments with incrementally complex visual stimuli, we validate the setup and gather insights into the ants’ behaviour. The system works remarkably well to study ant navigation, despite a few limitations. On the behavioural side, ants use oscillations as a visuomotor control mechanisms even when deprived of sensory feedback from the environment (rot. close-loop). Furthermore, ants exploit edges as information-rich features in both simple and complex visual scenarios. Both of these behaviours have important implications for the design of robotic navigation architectures. VR opens a new opportunity to learn from the simple yet effective navigation strategies of ants and design new biomimetic navigation systems.
Trends in Dry Eye Disease Management Worldwide

: Dry eye disease (DED) is a condition frequently encountered in ophthalmology practice worldwide. The purpose of this literature review is to highlight the worldwide trends in DED diagnosis and therapy amongst practitioners and determine if a more uniform approach to manage this multifactorial condition has developed over the past two decades. A manual literature search utilizing PubMed was conducted to obtain papers with survey results relating to ophthalmology and optometry diagnosis and treatment of dry eye from January 2000 to January 2020. This did not include data from clinical trials as we were only interested in community clinical practice trends. The terms “dry eye” and “survey” were searched in combination with one or more of the following words or phrases: prevalence, diagnosis, treatment, therapy, etiology, risk factors, therapy, and quality of life. Papers were selected based on their direct applicability to the subject and were only included if they contained relevant survey data from community practitioners. The available literature suggests common trends worldwide in the diagnosis and treatment of DED. These trends have not modified substantially over the past two decades. Practitioner education on the benefits of measuring tear film homeostasis could increase its use as a diagnostic tool to complement current tools. Of the results found, 75% of the papers were published after 2006 and only one paper after 2017. More recent survey results are required to determine if research into DED pathophysiology is altering the current trend in DED management.
Simulation as a Tool in Construction Management

Advances in technology and modern systems have enabled a major shift in the presentation of reality in a virtual way. The representation of a real system using a model enables various experiments, analyzes and studies. In this paper, a general overview of modelling and simulation is given. Through a brief description of methods and techniques, a special review of the simulation in construction management is given. Processes and phenomena in construction are mostly of stochastic character, so it is very convenient to apply simulation for their computer representation. Also, the cyclicity of most processes in construction, as well as their dynamics provides a suitable basis for the application of simulation. Simulation is often used to solve various problems in construction management, as: optimization, predicting, allocation of resources, solving transportation problems, supply chains, selection of machinery, etc. Simulation methods are described and an overview of the software most commonly used in construction management is given.
RELATIONSHIP BETWEEN ENVIRONMENTAL FACTORS AND METAZOOPLANKTON COMMUNITY STRUCTURE FROM ZHALONG NATIONAL NATURE RESERVE IN HEILONGJIANG PROVINCE, NORTHEASTERN CHINA

In the Zhalong National Nature Reserve in Heilongjiang Province of China, 24 sampling sites were set up in spring (May), summer (August) and autumn (October) of 2019. According to the hydrological conditions and sampling feasibility of the study area, metazooplankton, environmental factors and the correlation between metazooplankton functional groups and environmental factors were analysed and discussed. Results show that, a total of 52 species of metazooplankton were identified, including 36 species of rotifers belonging to 17 genera, 8 species of Cladocera and 2 orders of copepods. The metazooplankton can be divided into 7 functional groups: Rotifers filter feeders (RF), Rotifers carnivore (RC), Small copepods and claocera filter feeders (SCF), Middle copepods and claocera filter feeders (MCF), Middle copepods and claocera carnivore (MCC), Large copepods filter feeders (LCF) and Large copepods carnivore (LCC). The functional groups showed a seasonal succession pattern of RF/RC/SCF → RF/RC/MCC → RF/RC/LCC. Redundancy Analysis (RDA) showing that The main water environmental factors affecting the distribution of metazooplankton functional groups were water temperature (WT), biological oxygen demand (BOD5), ammonia nitrogen (NH3-N), total phosphorus (TP) and chloride (Cl -).
Competitive strategies adopted by small and medium dairy processors in Nairobi County, Kenya

The dairy industry in Kenya plays an important role in the creation of employment and food security. It is one of the major drivers which the country is using to achieve the Sustainable Development goals and Kenya Vision 2030. The success of the sector however, is dependent on the ability of the different firms to improve performance through gaining a competitive edge that is sustainable. The main purpose of this study was to find out the competitive strategies used by small and medium dairy processors in Nairobi County. The study used a descriptive survey research design, and a census of the firms. Questionnaire was the key instrument of data collection. The data collected was analyzed using descriptive statistics. The summarized information was presented using tables and charts. The study found out that the dairy enterprises had adopted the differentiation strategy more than the cost leadership, cost focus and differentiation focus strategies as represented by 32% of the respondents. It is recommended that a longitudinal and inferential study be carried out on a larger study population of the small and medium dairy firms, which extends beyond Nairobi County. The study recommended that a replication of the study be carried out using more objective measures of performance like profits. The conclusions made from the study findings may be used by managers of both existing firms and new entrants into the industry, who may need to make decisions on what competitive strategies may be suited to their business in order to position themselves in the industry and to improve performance.
A Study of Wall-Climbing Robot for Cleaning Silo Using Vacuum Principle

The objective of this paper is to develop an efficient Wall-Climbing Robot (WCR) which can move on the wall for cleaning purposes. The biggest problem with this type of robot that the researchers encounter is how to keep the robot moving steadily on the wall. This study proposed a new mechanical design of the Wall-Climbing robot using the Vacuum principle and wireless control technology for flexible movement on the wall. In which, the Minimum Required Adhesion Force (FMRA) is calculated to be balanced with gravity and its torque. Moreover, a Wireless Control System (WCS) is designed to drive the Robot remotely.
Peripapillary Retinal Nerve Fiber Layer Thickness by Optical Coherence Tomography in Patients with Unilateral Amblyopia

INTRODUCTION: Anatomy of visual pathway The visual pathway [fig.1] consists of the groups of cells and synapses that carry visual input from the eye to the brain and then process the information. It includes the retina, optic nerve, optic chiasm, optic tract, lateral geniculate nucleus, optic radiations, and striate cortex. The first receptive cell type in this pathway, highly specialized sensory cell, the photoreceptor, converts the light energy into a neural signal that is passed to bipolar and amacrine cells and then reaches the ganglion cell. These mentioned cells and synapses all lie in the retina. The nasal fibers from each eye cross in the optic chiasm and end in the opposite side of the visual cortex, while the
The Tools and Resources for Clinical Text Processing

: The expansion of electronic health has produced a large amount of information in medical information systems in a structured and unstructured format. The processing of unstructured data in the form of text is performed using natural language processing techniques. Natural language processing requires specific resources for processing text depending on the domain of the text as well as the language in which it is written. This paper aims to present the available tools, lexical resources, and corpora used in the analysis of clinical texts.
Error-in-variables model of Malacca wind direction data with the von Mises distribution in southwest monsoon

Wind direction is an important aspect to be analysed to forecast the weather. In this study, we statistically investigate the relationship of wind direction data in Malacca, Malaysia during southwest monsoon in the year 2019 and 2020. The circular nature of wind direction requires the data to be analysed differently from linear data. We model wind direction data with the von Mises distribution by using an Error-inVariables model, particularly functional relationship model. The goodness-of-fit of the data is supported by the QQ plots. The parameters of the model are estimated with maximum likelihood estimation and the covariance of the parameters are obtained by using Fisher Information matrix. The results show that the wind direction data in Malacca has a rotation parameter of 0.37348 with the concentration parameter of the error of 1.56960. The information of this study may be used for a better understanding in the prediction of wind energy.
A Singular Workflow for 3d Surface Reconstruction of Heavily Noisy Point Clouds

: Surface reconstruction from low quality point clouds represents a common problem in most standard algorithms created for this purpose. Point clouds acquired using specialized devices, such as 3D scanners, or as outputs from structure from motion algorithms are usually flawed in that they contain a significant amount of noise and outliers, making the surface reconstruction process difficult, resulting in low quality surface estimation. The quality of the reconstructed mesh is directly proportional to the quality of the point cloud itself. This paper proposes a workflow for creating 3D surfaces from unstructured point clouds. The workflow takes an unstructured point cloud as input and, through four phases, automatically cleans up the point cloud data and creates a watertight surface reconstruction of the point cloud, all in a single, end-to-end workflow.
Assistive control of brain-control multiple robots

Brain-controlled robots have important application values in assisting persons with disabilities. However, few studies focus on brain-controlled multiple robots. This paper proposes an assistive controller based on model prediction with the leader-follower formation strategy for developing brain-controlled multiple robots. The controller is composed of a leader controller and a follower controller. The experimental results of brain-controlled multiple robots show that the proposed method can track the user’s lateral and longitudinal control intention and maintain the stability of the multi-robot formation while ensuring the safety of brain-controlled multiple robots. This work can advance the research and development of brain-controlled multiple robots.
Side window buffeting: a smartphone investigation on a car trip

Movement of air over a hole or cavity typically generates sound, which can have both noisy and tonal components (cavity noise, cavity tones). Such acoustic phenomena often tend to be a nuisance, e.g. for ‘buffeting’ or ‘wind throbbing’ noise, where airflow over an open side window or sunroof in a moving vehicle can produce low-frequency, high-amplitude ‘booming’ sound signals. The present contribution provides a first description of this curious phenomenon of everyday physics at an intermediate difficulty level, comparing a simplified theoretical model based on a Helmholtz resonator with experimental data obtained by everyday mobile IT devices—namely smartphones or tablet PC. Readers thus are able to reproduce and study the buffeting frequency of a car interior, based on relatively inexpensive equipment using their own mobile devices for data acquisition and analysis.
Measuring refractive index of a liquid with a spherical shape flask and Tracker

A simple measurement of the refractive index of a liquid has been performed using a spherical lens. This lens is a spherical shape flask containing the liquid under study. Parallel pointer laser beams are directed to the lens to obtain the back focal length of the lens. The focal point is determined visually or using the Tracker software to analyze the photo. The back focal length is investigated related to the radius of curvature of the lens and the liquid under study. The refractive index at λ = 635 nm resulted from the photo analysis for water, ethanol and vegetable oil are 1.34 ± 0.03, 1.38 ± 0.05, 1.47 ± 0.06, respectively. This simple experiment is suitable for teaching.
Five-phase multilevel inverter with output voltage waveform optimized using soft-computing methods

In this paper, genetic algorithm (GA) and particle swarm optimization (PSO) are employed to optimize the switching angles for 5-phase 15-level asymmetrical cascaded H-bridge multilevel inverter (ACHBMLI). Both optimization algorithms are applied in selective harmonic minimization pulse width modulation (SHMPWM) based switching-angle calculation technique that aims to maintain the desired fundamental harmonic while minimize the undesired harmonics. The performance of GA- and PSO-SHMPWM are compared in term of switching angles, objective function, and cumulative distribution function. For fair comparison, both GA- and PSO-SHMPWM are implemented and analyzed in MATLAB with the same population size and total number of iterations. Furthermore, a PSIM simulation model of 5-phase 15-level ACHBMLI has also been developed to validate the effectiveness of GA- and PSO-SHMPWM.
Effect of Annealing Atmosphere on the Diode Behaviour of ZnO/Si Heterojunction

The effect of thermal annealing atmosphere on the electrical characteristics of Zinc oxide (ZnO) nanorods/p-Silicon (Si) diodes is investigated. ZnO nanorods are grown by low-temperature aqueous solution growth method and annealed in Nitrogen and Oxygen atmosphere. As-grown and annealed nanorods are studied by scanning electron microscopy (SEM) and photoluminescence (PL) spectroscopy. Electrical characteristics of ZnO/Si heterojunction diodes are studied by current-voltage (I-V) and capacitance-voltage (C-V) measurements at room temperature. Improvements in rectifying behaviour, ideality factor, carrier concentration, and series resistance are observed after annealing. The ideality factor of 4.4 for as-grown improved to 3.8 and for Nitrogen and Oxygen annealed improved to 3.5 nanorods diodes. The series resistances decreased from 1.6 to 1.8 times after annealing. An overall improved behaviour is observed for oxygen annealed heterojunction diodes. The study suggests that by controlling the ZnO nanorods annealing temperatures and atmospheres the electronic and optoelectronic properties of ZnO devices can be improved.
DISCRETE POINCAR ´E INEQUALITIES FOR ARBITRARY MESHES IN THE DISCRETE DUALITY FINITE VOLUME CONTEXT

We establish discrete Poincar´e type inequalities on a two-dimensional polygonal domain covered by arbitrary, possibly nonconforming meshes. On such meshes, discrete scalar ﬁelds are deﬁned by their values both at the cell centers and vertices, while discrete gradients are associated with the edges of the mesh, like in the discrete duality ﬁnite volume scheme. We prove that the constants that appear in these inequalities depend only on the domain and on the angles in the diagonals of the diamond cells constructed by joining the two vertices of each mesh edge and the centers of the cells that share that edge.
Pricing for options in a Hull-White-Vasicek volatility and interest rate model

In this paper, by taking account into the no-arbitrage in a new stochastic process, we propose a pricing model for options in a Mixed Modified Fractional Hull-White-Vasicek volatility and interest rate model. By using the double Mellin transform approach, we derive closed-form pricing formulas for this pricing problem, which are the main contribution of this paper and expand the relevant literature’s conclusions. Mathematics Subject Classification: 60G07, 60G05 , 65N06
Optimisation of Cost in Ground Improvement for Upcoming Navi Mumbai International Airport

This study aimed to optimise the cost of ground improvement by considering the residual settlement in marshy lands for development of new International airport by applying the appropriate treatment to overcome the issues that meets cost and time. Globally the increasing demands of trading and servicing activities require the development of an International airport in major cities. The Mumbai is one of the biggest commercial destinations of our country also necessitates the development of another airport besides the existing airport in the region. From the past few decades, researches and studies show various ways of ground improvements for the airport area in coastal regions. This study shows the cost optimization of ground improvement work by adopting the end on dumping of locally available blasted rocks instead of ground improvement techniques. This study works on principle that stone is puncturing to the very soft to soft clay and at the same time clay are getting displaced thus, effective thickness of clay is getting reduced. The objectives of this study are to optimize the cost of ground improvement and reduce the residual settlement of airport land in coastal regions. Adopting of end on dumping methods is appropriate in view of cost and feasibility of site than the ground improvement techniques. The cost of end on dumping is Thirty-six percent less than the stone columns technique. It can be concluded that for future ground development projects filling of stones by the end of the dumping method can be considered as the appropriate solution concerning time and cost.
Actively Learning ELI Queries under DL-Lite Ontologies

We show that ELI queries (ELIQs) are learnable in polynomial time in the presence of a DL-Lite ontology O , in Angluin’s framework of active learning. When initially provided with a conjunctive query (CQ) that implies the target ELIQ under O (in the sense of query containment), it suﬃces for the learner to only pose membership queries to the oracle, but no equivalence queries. The initial CQ can be obtained by a single equivalence query and is available ‘for free’ in case that O does not pose any disjointness constraints on concepts. Our main technical result is that every ELI concept has only polynomially many most speciﬁc subsumers w.r. t. a DL-Lite ontology, generalizing a recent result about homomorphism frontiers by ten Cate and Dalmau.
Do Boat and Ocean Suggest Beach? Dialogue Summarization with External Knowledge

In human dialogues, utterances do not necessarily carry all the details. As pragmatics studies suggest [Grice, 1975], humans can infer meaning from the situational context even though the meaning is not literally expressed. It is crucial for natural language processing models to understand such inference process. In this paper, we address the problem of inferencing Concepts Out of the Dialogue Context (CODC) in the dialogue summarization task. We propose a novel framework comprised of a CODC inference module leveraging ex-ternal knowledge from WordNet and a knowledge attention module aggregating the inferred knowledge into a neural summarization model. To evaluate the inference capability of different methods, we also propose a new evaluation metric based on CODC. Experiments suggest that current automatic evaluation metrics of natural language generation may not be enough to understand the quality of out-of-context inference in generation results, and our proposed summarization model can provide statistically signiﬁcant improvements on both CODC inference and traditional automatic evaluation metrics, e.g., CIDEr. Human evaluation of the model’s inference ability also demonstrates the superiority of the proposed model.
Top institutional investors and accounting comparability

This study examines the relation between firm pair’s sharing of a top institutional investor (i.e., an institutional investor with the largest shareholding) and accounting comparability. Using data from Compustat, CRSP, and Thompson Reuters over the 1993–2017 period, the study finds that firm pairs that share the top institutional investor exhibit higher accounting comparability than other firm pairs. In addition, firm pairs whose top institutional investors are monitoring institutions (regardless of whether they are the same institutions) exhibit greater comparability than other firm pairs whose top institutional investors are non-monitoring institutions. Collectively, the study contributes to existing research on accounting comparability and large institutional investors by showing that the sharing of top institutional investors is an important determinant of accounting comparability
SCHOOL EVALUATION AND CHILDREN WITH DISABILITIES: FROM EXCLUSIONARY POLICIES TO INCLUSIVE APPROACHES AVALIAÇÃO ESCOLAR E AS CRIANÇAS COM DEFICIÊNCIAS: DE POLÍTICAS EXCLUDENTES A APROXIMAÇÕES INCLUSIVAS EVALUACIÓN ESCOLAR Y NIÑOS CON DISCAPACIDADES: DESDE POLÍTICAS EXCLUSIVAS HASTA ENFOQUES

School evaluation for children with disabilities is a challenge for education professionals. In this sense, this work aims to present some of the results of master's research whose title is “School evaluation in the educational process of children with disabilities from the perspective of elementary school teachers”. We aim to understand aspects in school evaluation that are close to formative evaluation from the perspective of elementary school teachers. For this qualitative approach research, we use as methodology the analysis of content and focus group technique. In the teachers' dialogues we were able to understand to what extent the school remains in an excluding logic and for due to this is important to resist and opt for proposals of evaluative work that are close to inclusive principles. We concluded that the teachers organize the pedagogical work for children with disabilities in accordance with the principles of formative evaluation.