Miracle-dz/UniFAR-FTUs huggingface dataset:
Studying the Optical 3D Accuracy of Intraoral Scans: An In Vitro Study

There are various scanners available in dental practice with various accuracies. The aim of this study was to compare the 3D capturing accuracy of scans obtained from Trios 3 and Dental Wings scanner. A reference mandibular model was printed from FormLab with reference points in three axes (X, Y, and XY and Z). The printed model was scanned 5 times with 3 scans: normal scan by Trios 3 (Trios 3A), high-resolution scan by Trios 3 (Trios 3B), and normal scan by Dental Wings. After scan, the stereolithography (stl) files were generated. Then, the measurements were made from the computer software using Rhinoceros 3D (Rhino, Robert McNeel & Associates for Windows, Washington DC, USA). The measurements made with digital caliper were taken as control. Statistical analysis was done using one-way ANOVA with post hoc using Sheffe (P < 0.01). Trios 3 presented higher accuracy than Dental Wings and high resolution showed better results. The Dental Wings showed less accuracy at the measurements >50 mm of length and >30 mm in width. There was no significant difference (P > 0.05) of control with the Trios 3A and Trios 3B. Similarly, for the measurements in Z-axis, there was no significant difference of control with each scan (Trios 3A, Trios 3B, and Dental Wings). Accuracy of the scan is affected by the length of the scanning area and scanning pattern. It is less recommended to Dental Wings scan >3-unit prosthesis and that crosses the midline.
Modelling the North-Northeastern Region of the Brazilian Electricicty System-Emphasizing the Ancillary Structures

Power systems influence nowadays society in such a number of ways that one cannot ignore its importance. This translates to economical, structural and humanitarian factors that are a pillar to modern society. Understanding and developing these systems are pivotal for a development of any country. Brazil has been surging as a country in development on the past years, with reflections on its power system. Historically analysing and comprehending the current paradigm of the system and its structure is the first step one has to make. With billions of euros at stake within the electricity market, modelling and simulating are necessary steps when investing large sums of money. PLEXOS for Power Systems is a software that can provide the support for this kind of analysis, which was used in the development of this work. After understanding how PLEXOS plays with complex databases revolving around the system, some simplifications were made due to the lack of data. Hydroelectric generation and load demand were estimated, types of generators were grouped, and interconnections were simplified. Introduction of wind generation and load intermittency creates less stable systems, resulting in the need of ancillary systems. The Brazilian system has its own rules regarding primary, secondary and tertiary reserves. A high dependency on hydroelectric sources is easily observed, the quick response times of the expensive fuel generators are critical, while gas powered utilities provide a steady, yet controllable and cheap, power source. The complexity of the system and lack of data translates into some errors in the simulation which are promptly discussed.
Interaction of nitrogen stress and salicylic acid on physiologic and photosynthetic characteristics of borage (Borago officinials L.)

Deficiency of nitrogen may lead to decrease in yield and yield potential of plant crops. This experiment was done under glasshouse conditions in order to investigate the nitrogen levels and salicylic acid interaction on some physiologic traits of borage (Borago officinials L.). In this experiment various levels of nitrogen (including; 27.5, 55, 110, 220 and 330 mg/L from ammonium nitrate) and salicylic acid (including; 0, 400, 800 and 1200 μM) were applied. The results indicated that stomatal conductance, photosynthesis rate, chlorophyll a, chlorophyll b, carotenoids, proline, and ascorbate peroxidase, were increased by increasing of nitrogen level. However, intercellular CO2 concentration, anthocyanin, flavonoids, soluble carbohydrates, catalase, and peroxidase were decreased. Among nitrogen levels, the maximum effect was obtained by 220 and 330 ppm treatments. Furthermore, salicylic acid spraying led to promote stomatal conductance, photosynthesis rate, transpiration rate, photosynthetic pigment content, proline, anthocyanin, flavonoids, soluble carbohydrates, catalase, peroxidase and ascorbate peroxidase enzyme, but not intercellular CO2 concentration. The highest values of stomatal conductance, photosynthesis rate, transpiration rate, photosynthetic pigment content, proline, anthocyanin, flavonoids, soluble carbohydrates, and activities of catalase, peroxidase, and ascorbate peroxidase enzymes were achieved by 800 and 1200 μM concentrations of salicylic acid and 330 ppm of nitrogen. The results showed that appropriate concentrations of salicylic acid can recover nitrogen shortage and improve the measured traits. According to data, there was a synergic effect between SA and N concentration. By increasing each factor, the response of treated plants in measured trait was raised especially in higher concentrations of factors.
IN VITRO ANTIBACTERIAL ACTIVITY WEDILIA TRILOBATA AND EMILIA

From olden days, an imposing number of modern been isolated from natural sources. Most agents were obtained from the nature for thousands most of them were based on the uses of traditional medicines. 80% of the world’s inhabitants predominantly on traditional system of medicines primary health care (Raids et al., 2010). Hence, system of medicines based on natural plants major role in the health care. According to Organization, naturally occurring medicinal plants best source to obtain a large number of drugs. plants should be taken under research to gain their properties, safety and efficacy (Hassan developing countries, there is a major cause reduced mortality due to the infectious diseases. range of synthetic and semi-synthetic antibacterial available for the control of microorganisms; resistance is rapidly growing to the antibacterial available antibiotics have beneficial effects of and also have an adverse reactions such as hypersensitivity
Role of In-Store Atmospherics and Impulse Buying Tendency on Post- Purchase Regret

Purpose For marketers and retailers, impulsive buyers constitute a dream segment. Stimulants at the point of shopping create sudden urge among these shoppers and they seek to immediately acquire the products. This desire for spontaneous acquisition and instant gratification can result in negative consequences, including post-purchase dissonance (regret). This paper is an attempt to comprehend and examine the direct and indirect impacts of store atmospherics, urge to buy impulsively and impulsive buying on post-purchase dissonance in the form of regret. Method The data for the study was collected using survey method and structural equation modeling was used to analyse the proposed model. Findings Result of the study reveals that shoppers’ impulsive purchasing was positively linked to the feeling of regret. The study also noted the influence of positive and negative affect on urge to buy impulsively, which further is directed to impulse buying. Limitations This study has been conducted in India. By incorporating crosscultural aspects, the study shall stand its worth for better generalizations. Implications The study findings suggest that retailers and mall developers to invest in improving in-store light and music that might encourage store visitors to devote extra time for browsing various products and these factors has a positive impact on reducing regret. Originality A large number of studies have been conducted for analyzing store environment factors effect on impulse buying, however little is known about how these factors influences regret arises from impulse buying. This study attempt to analyses the influence of store environment factors on regret hence addresses that gap in the impulse literature. Parsad, Prashar, Vijay, Sahay / Journal of Business and Management, 25 (1), March 2019, 1-24 2
A Robotic System for Musculoskeletal Rehabilitation of the Shoulder

Conventional physiotherapy sessions are intense and require a great work capacity and time from both physiotherapist and patient. The physical and psychological fatigue may compromise the performance of the clinicians and patients, resulting in possible lost of efficiency of the physiotherapy session. The great work capacity and constant precision of the end-effector position and movement of KUKA LWR was used to overcome these problems. KUKA LWR is a seven degrees-of-freedom robotic manipulator designed specifically for applications where the robot is in close contact with the human operator. KUKA LWR has an embedded impedance control strategy that behaves like a damped spring with mass which pulls the robot to the desired position in joint and Cartesian spaces. The robotic system implemented pretends to study the upper-limb behaviour, and specifically the shoulder complex, during shoulder flexion exercises often used in conventional physiotherapy sessions. The contact forces between the physiotherapist and the patients arms were acquired during the exercises. First, the physiotherapist action was restrained to a pre-defined trajectory while he performed the movement. Second, the robot performed the rehabilitation exercise without the influence of the physiotherapist. The total moment felt on the shoulder and the consequent variation of the amplitude of movement were used to study the non-pathological shoulder behaviour during the rehabilitation exercises.
Fast Mitochondria Detection for Connectomics

High-resolution connectomics data allows for the identification of dysfunctional mitochondria which are linked to a variety of diseases such as autism or bipolar. However, manual analysis is not feasible since datasets can be petabytes in size. We present a fully automatic mitochondria detector based on a modified U-Net architecture that yields high accuracy and fast processing times. We evaluate our method on multiple real-world connectomics datasets, including an improved version of the EPFL mitochondria benchmark. Our results show an Jaccard index of up to 0.90 with inference times lower than 16ms for a 512x512px image tile. This speed is faster than the acquisition speed of modern electron microscopes, enabling mitochondria detection in real-time. Our detector ranks first for real-time detection when compared to previous works and data, results, and code are openly available.
Managing controllable loads to avoid distribution grid reinforcements and to maximize EV procurement from DER

The trend of Electric Vehicles (EV) adoption will produce an increase on electricity demand during the peak hours of normal working days, which will translate into possible network overloads. The objective of the thesis is to study the impact of different EV charging control strategies into the Distribution System Operators (DSO) ability to delay or avoid network investment. By installing Information and Communication Technology (ICT) in consumer’s buildings that house EV chargers, it will be possible to increase the flexibility of consumer demand, reducing the network stress during peak hours. As a consequence of reduced stress from EV control, reinforcement investment in Low Voltage networks (both urban and rural) can be delayed of even avoided. The optimal planning solution is a trade-off between traditional network reinforcement investments and ICT investment in network nodes. Different trade-offs were obtained for different EV charging control strategies showing that ICT investment can be a viable option for DSOs to consider in their investment possibilities when planning distribution network under high EV penetration.
The Effect of Interactivity on SNS Users' Loyalty: Flow and The Effect of Interactivity on SNS Users' Loyalty: Flow and Presence as Mediators Presence as Mediators

According to the stimulus–organism–response (S–O–R) paradigm, this study aims to understand how interactivity affects SNS users’ loyalty through user experience of presence and flow. Data collected from 242 respondents was analyzed with structural equation modeling (SEM). The results show that machine interactivity affects telepresence and flow, person interactivity affects social presence and flow, social presence affects flow and flow further affects SNS users’ loyalty. In addition, telepresence has a significant effect on social presence.
Hazard Detection With FreeRTOS based Wireless Sensor Networks

– In this work are studied various operating systems and communication protocol stacks currently used in wireless sensor networks. The aim is to find a solution for timely delivery of information using a real-time operating system and a redundant and resilient protocol stack like the proposed IEEE 802.15. 4E. Moreover, it addresses the adaptations made on the firmware to enable compatibility with the in-house already conceived platform – MoteIST. In the end the full project can compile and run on the MoteIST platform maintaining compatibility with the original project. Tests were made to assert proper communication with the work addapted.
Knowledge Base Population at Web Scale

This work discusses a knowledge base population (KBP) system designed to populate a comprehensive, web-scale knowledge base with facts (or statements) extracted from text. We estimate that such a knowledge base should represent billions of entities (e.g., instances of people, organizations, products) and tens of thousands of properties (or relations, such as spouse, employer and nationality). Learning individual extractors for every property is ineﬀective, since each extractor requires a large amount of training data. Instead, we adopt the open information extraction (OIE) approach, which aims to extract all “rela-tional phrases” (e.g., “worked for”) between entities from the text alone. These relational phrases are then mapped to user-deﬁned properties with minimal eﬀort. Unlike most OIE methods, our solution has been primarily designed to serve KBP and other downstream NLP applications, rather than human-facing tasks. For instance, our relational phrases are not limited by human requirements (such as coherence and readability) and can be used alongside other annotations in an NLP pipeline. When applied to KBP, our method outperforms two widely-adopted OIE systems on the KnowledgeNet dataset (54.6 vs 46.0 and 41.1). For properties where training data is available, our KBP system leverages a BERT-based extractor that outperforms the previous top-ranking competitor in Knowled-geNet (69.5 vs 50.4). On the other hand, BERT’s overhead raises the computational cost of our KBP system by orders of magnitude. Nevertheless, our system still achieves relatively high accuracy (64.3) when smaller and faster networks are used instead of BERT.
Detection of Fraud and Corruption in Healthcare System

 Abstract—This paper purposes a data mining technique for the detection of fraud and corruption in healthcare system. The developed genetic algorithm explores the relation between claims, patient and providers introducing a new approach for the combat of fraud and corruption in healthcare. The application of this method to the healthcare system will accelerate and improve the detections of both, well-known fraud cases and new fraudulent situations.
Simulation of Completion Interval, Pressure Drop and Pseudo-Skin on Productivity Index

Mathematical models for evaluating productivity index of vertical wells with partial completion/penetration, taking into account the effect of pressure drop due to partial completion and a comparative study on some vertical well productivity index models are presented. The effect of completion interval on Productivity Index of vertical wells was also investigated, since almost all wells are partially completed tocontrol isolation of fluid entering into the wellbore,reduction of sand production, prevent water/gas coning, and it is also very expensive to fully complete a well especially when the payzone thickness is so high. Several key factors were tested on Productivity Index such as Pseudo – Skin (Sps), Pressure Change Due to Partial Completion Damage (ΔPskin) and Completion Interval (Lp). The effects of these factors on Productivity Index were analyzed. Reservoir/Well data used in these analysis showed that Productivity Index Increased with increasein the completion interval and vice versa for Steady State flow using Brons and MartingsPseudo – Skin Model and likewise for Papatzacos Pseudo-Skin Factor Model, but the opposite was the case when Bervadier’sPseudo – Skin Model was used. For Pseudo – Steady State flow,Using Brons and Martings Pseudo-Skin model and likewisePapatzacos Pseudo-Skin model, Productivity Index (J) experienced increase between 0 – 100ft and 150 – 200ft as the Completion Interval (Lp) increased but the opposite happened at a Completion Interval of 101 – 149ft and 201 – 300ft, but usingBervaldier’s Pseudo-Skin model, Productivity Index (J) reduced as the Completion Interval (Lp) increasedand vice versa. For Transient flow, Productivity Index increased with increase in Completion Interval using Brons and MartingsPseudo-Skin Factor Model and likewise Papatzacos, but for Bervadier’s Pseudo – Skin Model, Productivity Index (J) reduced as Completion Interval (Lp) increased. Also, Pseudo – Skin and Pressure Change Due to Partial Completion Damage decreased with increase in Completion Interval for Steady, PseudoSteady and Transient flow.
Binary Aggregation for Book Retrieval

With the ever-increasing volumes of data, it is becoming more challenging to store, organize and retrieve the required information in an efficient manner. When dealing with high dimensional feature space, vectors become extremely sparse (most dimensions are zero). The existing representation models struggle to deal with the drop of efficiency. The majority of them lack the tools turning to use either feature selection or Approximate Nearest Neighbour searches. The work herein proposed suggests a new indexing method which enables exact similarity searches. Based on a hierarchical organization, sparse vectors are successively a reduction of one another (by using the logic OR operator using the window sliding paradigm). Thus, with a progressively deeper procedure, we aim to enhance the retrieval performance in comparison to baseline methods.
Antennas Design and Image Reconstruction for Microwave Imaging Systems

This paper presents the design of a Palm Tree Vivaldi antenna (onwards PTVA) suitable for Microwave Imaging Systems and proposes an Image Reconstruction Algorithm with calibration techniques, based on the Delay and Sum (DAS) algorithm, which aims at detecting intracranial haemorrhages. The prototyped PTVA is a small, compact and thin stucture, offering Ultra Wideband (UWB) characteristics in the 1.61-3.02 GHz frequency band, directive radiation pattern and small reflected pulse distortion. The PTVA features edge slot resonators on its radiators, which are a novel feature used to miniaturize Vivaldi antennas dimensions by confining the electric field, thus creating an increase of the surface current distributions in the resonators, leading to an increased electric length of the antenna. A description of the DAS algorithm is presented and it illustrates the DAS image reconstruction capabilities in the air. By implementing the DAS algorithm, its extention to a more complex scenario is performed, by proposing calibration techniques, the implementation of Fermats Principle and an integration window for a human head model with an haemorrhage. The paper is concluded by performing measurements with the prototyped PTVA and applying the implemented DAS algorithm aiming at detecting a water anomaly, emulating an haemorrhage, inside a human head phantom, with permittivity close to the one found in the human brain.
Abstract-Syntax-Driven Development of Oberon-0 Using YAJCo

Syntax-Driven Development of Oberon-0 Using YAJCo Sergej Chodarev sergej.chodarev@tuke.sk Department of Computers and Informatics Faculty of Electrical Engineering and Informatics Technical University of Košice, Košice, Slovakia Michaela Bačíková michaela.bacikova@tuke.sk Department of Computers and Informatics Faculty of Electrical Engineering and Informatics Technical University of Košice, Košice, Slovakia Abstract YAJCo is a tool for the development of software languages based on an annotated language model. The model is represented by Java classes with annotations defining their mapping to concrete syntax. This approach to language definition enables the abstract syntax to be the central point of the development process, instead of concrete syntax. In this paper, a case study of Oberon-0 programming language development is presented. The study is based on the LTDA Tool Challenge and showcases details of abstract and concrete syntax definition using YAJCo, as well as the implementation of name resolution, type checking, model transformation, and code generation. The language was implemented in a modular fashion to demonstrate language extension mechanisms supported by YAJCo.
Scalable lignin/graphite electrodes formed by mechanochemistry

Lignin is a promising candidate for energy storage because of its abundance, wide geographic distribution, and low cost as it is mainly available as a low value product from processing of wood into paper pulp. Lignin contains large amounts of potential quinone groups, which can be oxidized and reduced in a two electron process. This redox reaction makes lignin suitable for charge storage. However, lignin is insulating and therefore conductive materials are necessary in lignin electrodes, for whom the cost of the conductive materials hinders the scalable application. Among the organic conductive materials, graphite is one of the cheapest and is easily acquired from nature. In this work, we combine graphite and lignosulfonate (LS) and fabricate LS/graphite organic electrodes under a solvent-free mechanical milling method, without additives. The graphite is sheared into small particles with a size range from 50 nm to 2000 nm. Few-layer graphene is formed during the ball milling process. The LS/graphite hybrid material electrodes with primary stoichiometry of 4/1 (w/w) gives a conductivity of 280 S m−1 and discharge capacity of 35 mA h g−1. It is a promising material for the scalable production of LS organic electrodes.
Expanded Virtual Puppeteering

: This work proposes a framework for digital puppeteering performances, using solely the performer’s bare hands. The framework relies on Unity as a base, and hand information is captured from a Leap Motion device. The performer employs a gesture interaction system and precise hand movements to manipulate the puppet in a number of different manners. It is then possible for the audience to view the puppet directly in a big screen, or using virtual or augmented reality headsets, which allows rich interactions.
Event Detection with Pan-Tilt Cameras

—Modern video surveillance systems are based on pan tilt and zoom cameras due to the intrinsic advantages of these devices with respect to ﬁxed cameras. Even though it is patent that these equipments enclose great potential as surveillance instruments, it is not clear the best approach for its insertion into automatic surveillance systems. The experiments detailed hereafter present relevant results enabling the use of these devices. In particular it focus on: segmentation techniques, control modalities for the pan-tilt cameras and zoom impact on both types of algorithms. Furthermore the metrics applied to evaluate performance results are extended from the state of the art for ﬁxed camera scenarios to a pan-tilt scenarios. The results attained in the scope of this work rely in datasets generated from a virtual reality framework which was implemented to simplify the test images generation. This approach also eases the replication of experiments allowing an proper understanding of the results.