Miracle-dz/UniFAR-FTUs huggingface dataset:
Monitoring of long-term damage in long-span masonry constructions

Monitoring is a key activity in the study of ancient structures, providing reliable insight into its present condition and the signifi cance and progress of damage. Monitoring can contribute to identifying and evaluating existing damage and help determine which active physical phenomena are involved in its generation. However, which monitoring procedures and strategies are to be considered depends highly on the type of processes experienced by the structure. Four different phenomena – large deformation, tensile damage, compressive damage and largescale fragmentation – are considered and discussed with regard to monitoring possibilities for measuring and characterizing them. Not only the structural effects (rotations, displacements, crack openings, etc.), but also the actions experienced by the construction (wind, earthquake, thermal cycles, soil settlements, etc.) are to be measured together over a suffi ciently long period comprising several years. The use of a detailed numerical model may, in most cases, allow accurate physical and quantitative interpretation of the information obtained.
Development of an Autonomous Aerial Toolset for Agricultural Applications

iv Vita . v List of Figures . viii List of Tables . x Chapter 1: Introduction to Precision Agriculture with UAV’s . 1 Why UAV’s? 1 Scouting for Problems. 2 Monitoring to Prevent Yield loss . 4 Crop Management . 5 Chapter 2: UAV’s and Required Technologies . 5 Types of UAV’s . 5 Data Collection and Interpretation Technologies . 6 Commercial UAV Solutions . 9 Fixed Wing Solutions . 9 Rotorcraft Solutions . 10 Chapter 3: Introduction to UAV Control . 11 UAV Tools . 11 Governing Equations . 12 Required Sensors for Agriculture . 14 Tools for System Programming and Simulation . 16 Navigation . 23
A comparative study of the improvement after different self-assessment methods of tooth preparation

In preclinical dental education, dental students are trained and evaluated through various hands-on training sessions. Maintenance of the amount of standard reduction according to prosthesis type is one of the significant evaluation factors. Furness et al. have reported that the lack of occlusal surface clearance is a representative critical error that prevents adequate prosthesis production. Therefore, dental students require training in preclinical practice to become professional dentists. In this practical exercise, students are usually assessed by faculty members. During the evaluation process, students have complained about subjective evaluation, and conduct practice with the sole aim to achieve high test scores; moreover, various studies have pointed out the limitations of subjective evaluation. Recently, the evaluation software of fixed dental practice evaluation using computer-aided design and computer-aided manufacturing (CAD/CAM) has been widely used. Compared to traditional learnOriginal Article https://doi.org/10.14368/jdras.2019. 35.4. 220
FIRST ASSESSMENTS ON HERITAGE SCIENCE ORIENTED IMAGE-BASED MODELING USING LOW-COST MODIFIED AND MOBILE CAMERAS

Abstract. Three-dimensional modeling of cultural heritage, especially concerning large scale studies, as for example, archaeometry, diagnostics and conservation intervention applications, which usually require high-resolution and multi-spectral analyses, necessitates the use of complicate and often expensive equipment. Recent developments regarding low-cost commercially available spectrally modified digital reflex cameras, smartphones with good quality image sensors, mobile thermal cameras in combination with automated or semi-automated photogrammetric software implementing Structure from Motion (SfM) and Multiview Stereo (MVS) algorithms constitute some cheaper and simpler alternatives. Although, the results of the integration of these types of sensors and techniques are often not evaluated as metric products. The presented research combines the above-mentioned instrumentation and software to implement and evaluate low-cost 3D modeling solutions on heritage science-oriented case studies, but also to perform some first assessments on the resulting models' metric properties, quality of texture and usefulness for further scientific investigations.
An appraisal of hyperspectral imaging for non-invasive authentication of geographical origin of beef and pork

The authentication of geographical origin of meat is important for accurate labeling to help consumers to select appropriate meat to meet their demands. Methods for this purpose need to be non-destructive, simple, and rapid. Hyperspectral imaging is a novel non-destructive technique that integrates both spectroscopic and imaging technique in one system to acquire both spectral and spatial information for an object which otherwise cannot be achieved with either conventional imaging or spectroscopic techniques. In this study, the reliability and applicability of hyperspectral imaging technique in tandem with multivariate analyses were investigated for identification and authentication of geographical origin of beef and pork. Hyperspectral images of beef (originated from Australia, Japan, New Zealand and USA) and pork (originated from Canada, Japan, and Mexico) samples were acquired using a Vis/NIR hyperspectral imaging system in the spectral range of 380– 1000 nm. The spectral data were extracted and then analyzed by principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) for recognition and authentication of geographical origin of the tested samples. The results clearly revealed that the combination of hyperspectral imaging and multivariate analysis has an excellent ability as a fast and non-destructive technique for identification and authentication of geographical origin of beef and pork.
05-17-16 (1695) Ortiz et al.indd

*Department of Biostatistics and Epidemiology, Graduate School of Public Health, University of Puerto Rico Medical Sciences Campus, San Juan, PR; †Division of High-Consequence Pathogens and Pathology, Centers for Disease Control and Prevention, Atlanta, Georgia, USA; ‡University of California at San Francisco School of Medicine, San Francisco, California, United States of America; §Cancer Control and Population Sciences Program, University of Puerto Rico Comprehensive Cancer Center, San Juan, PR
Global Nonlinear Fitness Function 2 for Protein Structures 3

6 structural fold. Such a landscape would be useful for engineering proteins with 7 novel or enhanced biochemistry. It should be able to characterize the global fitness 8 landscape of many proteins simultaneously, and can guide the search process to 9 identify the correct protein sequences. We introduce two geometric views and 10 propose a formulation using mixture of nonlinear Gaussian kernel functions. We 11 aim to solve a simplified protein sequence design problem. Our goal is to distin12 guish each native sequence for a major portion of representative protein structures 13 from a large number of alternative decoy sequences, each a fragment from proteins
A Conceptualized Model for Data Transmission in Underwater Acoustic Wireless Sensor Network

The complexity of underwater acoustic channel is considered to be quite possibly nature’s most unforgiving wireless medium. Nodes in underwater sensor networks which are used for oceanographic data collection, pollution monitoring, offshore exploration, tactical surveillance applications, and rapid environmental assessments are constrained by harsh physical environment. Also, data delivery schemes originally designed for terrestrial sensor networks are unsuitable for use in the underwater environment. Hence, this work investigates the development of an underwater transmission model by proposing a conceptualized Model for Data Transmission in Underwater Acoustic Wireless Sensor Network. The work assume that the noise power is the same for all the links. The work also assumes the channels are stable over each transmission frame. Without the relay nodes, the proposed mathematical model presents the minimum possible transmit power to achieve the required data rate between transmitting node and relay node. It evaluates the proposed model, after conducting several trials under different operating conditions using the data obtained. It then shows Throughput against Channel Bandwidth. Data transmission rate which can be measured from the graph shows an increase in channel bandwidth with decrease in throughput. Results show that at optimal power the proposed transmission model has significant advantages of improved performance and robustness over both the traditional direct transmission and the existing cooperative transmission schemes.
DEMYSTIFYING MUSICAL PREFERENCES AT TURKISH MUSIC MARKET THROUGH AUDIO FEATURES OF SPOTIFY CHARTS

Online music streaming services are one of the important actors in music consumption for today’s consumers. In addition to widespread use of mobile devices, many changes in the patterns of music consumption are witnessed such as the purchase of single tracks instead of albums, listening to music on different platforms, and personalized music consumption options. This study aims to examine the concept of music consumption in Turkey through audio characteristics of popular songs. Top 200 popular song-lists for 6 months period are chosen as sample and audio characteristics provided by Spotify API service regarding 676 unique songs are analyzed. Following descriptive statistics of Turkey Music Market, clustering methodology is employed and three different clusters for songs are concluded. Finally, decision tree methodology is employed to classify the dataset with popularity scores and audio characteristics together, while loudness and energy characteristics are found as significant classifiers.
Theorems on the Stokesian Hydrodynamics of a Rigid Filament in the Limit of Vanishing Radius

The transport dynamics of a rigid filament in a slow viscous flow modeled by the Stokes equations in a three-dimensional domain are considered. The relation between the transport velocities, external loads, and far-field flow around the filament is studied in the singular limit as the radius of the filament tends to zero, and the filament collapses to a curve, which may be an open arc or closed loop. Beginning from an initially implicit relation defined through the solution of a boundaryvalue problem, a potential theoretic representation is used to show that the relation between the transport velocities, external loads, and far-field flow remains well defined and remarkably becomes explicit in the limit of vanishing radius. Theorems establishing the form of this relation in different cases are stated, proved, and illustrated with examples. Special considerations at the ends of the filament when the limiting curve is open are discussed throughout.
Screening and surveillance of multiple solid tumours using plasma placental-like chondroitin sulfate A (pl-CSA)

Rationale: Placental-like chondroitin sulfate A (pl-CSA) is known to be exclusively synthesized in multiple cancer tissues and associated with disease severity. Here, we aimed to assess whether pl-CSA is released into bio-fluids and can serve as a cancer biomarker. Methods: A novel ELISA was developed to analyse pl-CSA content in bio-fluids using pl-CSA binding protein and an anti-pl-CSA antibody. Immunohistochemical staining of tissue chips was used as the gold standard control. Results: The developed ELISA method was specific and sensitive (1.22 μg/ml). The pl-CSA content was significantly higher in lysates and supernatants of cancer cell lines than in those of normal cell lines, in plasma from mouse cancer models than in that from control mice, and in plasma from patients with oesophageal, cervical, ovarian, or lung cancer than in that from healthy controls. Similar to the tissue chip analysis, which showed a significant difference in pl-CSA positivity between cancer tissues and normal adjacent tissues, the plasma pl-CSA analysis had 100% sensitivity and specificity for differentiating oesophageal and lung cancer patients from healthy controls. Importantly, in oesophageal and lung cancer patients, the pl-CSA content was significantly higher in late-stage disease than in early-stage disease, and it dramatically decreased after surgical resection of the tumour. Conclusion: These data indicate a direct link between plasma pl-CSA content and tumour presence, indicating that plasma pl-CSA may be a non-invasive biomarker with clinical applicability for the screening and surveillance of patients with multiple types of solid tumours.
CYCLOIDAL GAIT WITH DOUBLE SUPPORT PHASE FOR THE NAO HUMANOID ROBOT

The commercial Nao humanoid robot has 11 DOF in legs. Even if these legs include 12 revolute joints, only 11 actuators are employed to control the walking of the robot. Under such conditions, the mobility of the pelvis and that of the oscillating foot are mutually constrained at each step. Besides, the original gait provided by the manufacturer company of the Nao employs only single support phases during the walking. Because of both issues, the reduced mobility in legs and the use of only single support phases, the stability of the walking is affected. To contribute to improving such stability, in this paper an approach is proposed that incorporates a double support phase and a gait based on cycloidal time functions for motions of the pelvis and those of the oscillating foot. To assess the stability of the walking an index is applied, which is based on the notion of zero-moment point (ZMP) of the static foot at each step. Results of experimental tests show that the proposed gait enhances the stability of the robot during the walking.
Factors Influencing Tax Payer Compliance to Fulfill the Obligation to Pay Tax in Samarinda Municipality

The aims of the research are to find out and test the effectiveness of tax collection on taxpayer compliance; to know and test the knowledge of taxpayer on taxpayer compliance; to know and test the justice of tax payment regulation on taxpayer compliance; to know and test the taxpayer's comprehension level on taxpayer compliance; and to know and test the awareness level of taxpayer to taxpayer compliance in Samarinda municipality. The study uses a descriptive quantitative approach using IBM SPSS Version 20. The results of the study indicate that the effectiveness of tax collection had no significant influence on taxpayer compliance, the knowledge of taxpayers had a significant influence on taxpayer compliance , tax justice had no significant influence on taxpayer compliance, the level of understanding of taxpayers had no significant influence on taxpayer compliance, and the level of awareness of taxpayers had a significant influence on tax payer compliance in Samarinda. Conclusion can be draw that either simultaneously or partially, the effectiveness of tax collection, taxpayer knowledge, taxability, taxpayer understanding level, and the level of awareness of taxpayers have a significant influence on taxpayer compliance. Keywords—influencing factors, taxpayer compliance, pay
Multi-levels phase change memory using pulse modulation

We will describe pulse modulation for multi-levels lateral type (ML-) phase change memory (PCM). In order to use the ML-PCM as a random access memory (RAM), we have to develop a method to control the resistance from high to low or from low to high value for the memory access free. We have proposed ML-PCM using current control and 2-steps-pulse with various 2 nd pulse width like a stair-case as one of pulse modulations for decreasing and increasing the resistance, respectively. We demonstrate that the crystalline and amorphous regions are controlled using the current control and the pulse modulation, respectively, theoretically and experimentally.
Truss decomposition in large probabilistic graphs

Truss decomposition is an essential problem in graph mining, which focuses on discovering dense subgraphs of a graph. Detecting trusses in deterministic graphs is extensively studied in the literature. As most of the real-world graphs, such as social, biological, and communication networks, are associated with uncertainty, it is of great importance to study truss decomposition in a probabilistic context. However, the problem has received much less attention in a probabilistic framework. Furthermore, due to computational challenges of truss decomposition in probabilistic graphs, stateof-the-art approaches are not scalable to large graphs. Formally, given a user-defined threshold k (for truss denseness), we are interested in finding all the maximal subgraphs, which are a k-truss with high probability. In this thesis, we introduce a novel approach based on an asynchronous h-index updating process, which offers significant improvement over the state-of-the-art. Our extensive experimental results confirm the scalability and efficiency of our approach.
Preparation and quality characteristics of carbonated beverage prepared by profiteered, ultra filtered acidic whey with different fruit juices

The present investigation can through a light on utilization of the acidic whey (which is a by-product of the dairy industry) for the preparation of beverages. A process for preparation of carbonated acidic whey beverage by blending with different types of fruit juices at various levels of concentration has been standardized. In the present study the highly acceptable 12.0% sugar level was used as beverage base. The acidic whey (shrikhand whey) beverage base was blended with three different types of fruit juices i.e. mango, orange and pineapple at different levels of concentrations i.e. 18.0, 20.0, 22.0 and 24.0%. The unclarified and prefiltered acidic whey (shrikhand whey) beverage base with 22% unclarified mango juice, orange juice and pineapple juice concentration scored higher overall acceptability i.e. 8.23, 7.96 & 8.26 respectively. The ultrafiltered acidic whey (shrikhand whey) beverage base with 22% pineapple juice was found to be the best among all prepared beverage. The selected beverages were carbonated at three different levels of carbonation i.e. 25, 30, 35 psi at 4 + 1C temperature and were subjected to organoleptic evaluation. The unclarified mango beverage scored higher i.e. 8.33 at 25 psi. The prefiltered orange flavoured beverage scored higher i.e. 8.10 at 35 psi. The ultrafiltered pineapple flavoured beverage scored highest i.e. 8.53 at 30 psi, for overall acceptability than that of unclarified mango and prefiltered orange flavoured acidic whey (shrikhand whey) beverages.
The influence of media messages on populist attitudes : State of the art and insights from experimental research on the Italian case

Despite the growing interest of political and communication scholars in populism in Italy, there is still little knowledge of Italian voters’ populist attitudes and whether and how they are connected to media communication. The purpose of this article is to pave the way for the study of this salient topic also with reference to the Italian case. Thus, it both presents the main existing studies on the measurement of populist attitudes and the impact of populist media messages on them, as well as reconstructing the literature on the topic concerning Italy. Moreover, it shows the preliminary results concerning the Italian case of a comparative experimental study on the impact of media messages on voters’ populist attitudes conducted within the framework of the Cost Action IS1308 ‘Populist Political Communication in Europe’. The article is a first step towards the comprehension of the impact of populist media messages on Italians’ populist attitudes. It contributes to the study of populist attitudes in Italy by providing a new operationalization which is reliable in the Italian context and offering a comparable measurement of the strength of populist attitudes among Italian voters.
Plant and Biomass Extraction and Valorisation under Hydrodynamic Cavitation

Hydrodynamic cavitation (HC) is a green technology that has been successfully used to intensify a number of process. The cavitation phenomenon is responsible for many effects, including improvements in mass transfer rates and effective cell-wall rupture, leading to matrix disintegration. HC is a promising strategy for extraction processes and provides the fast and efficient recovery of valuable compounds from plants and biomass with high quality. It is a simple method with high energy efficiency that shows great potential for large-scale operations. This review presents a general discussion of the mechanisms of HC, its advantages, different reactor configurations, its applications in the extraction of bioactive compounds from plants, lipids from algal biomass and delignification of lignocellulosic biomass, and a case study in which the HC extraction of basil leftovers is compared with that of other extraction methods.
Hyaluronic Acid Hydrogel Crosslinked with Complementary DNAs

Hyaluronic acid (HA), a polysaccharide presents widely in the extracellular matrix of various animals, is used as an injectable gel material for regenerative medicine due to its biocompatibility. HA hydrogel can be produced from HA molecules via crosslinking. Physical crosslinking by noncovalent bonds is preferable rather than chemical crosslinking using a crosslinking agent to prevent unintended interactions in a biological environment and reduce inflammation caused by reaction by-products. In this study, HA was modified with two types of complementary single-stranded DNA obtained by digestion of pUC118 vector with the restriction enzyme Bsp1286I. When both of HA-DNAs were mixed, hybridized complementary strands acted as crosslinking points to form hydrogels. Shearing stress was applied to mix these DNA-conjugated HA solutions. As a result, a stiff hydrogel with an elastic modulus of about 100 Pa was obtained. The gel thus obtained would be facile to handle as an injectable gel that gains its structural properties from the shear stress applied through injection with a needle. In addition, DNA crosslinking points can be used for hybridization of the hydrogels with other biopolymers, cleavage with restriction enzymes and dissociation by thermal denaturation.
Extraction, Phytochemical Screening and Wound Healing Activity of Herbal Formulation of Saussurea lappa:

The aim of present research work was to develop emulgel and In-situ gels of methanolic extract of Saussurealappa with the purpose to determine their wound healing and anti-bacterial properties. Phyto-chemical analysis ofextract was also performed. Emulgel was prepared by using carbopol 940, Span 80, tween 80, polyethylene glycol(PEG 4000) and methyl paraben while in-situ gel was prepared by using polaxomer (P407) as thermo-sensitive andcarbopol (934P) as pH sensitive polymers. All formulations were maintained at pH 6-7 and stored at 4 ◦C. Lyophilizedextract was added in solution form to enhance the solubility as well as the stability. In-vitro release profile wasperformed by using Franz diffusion method and data was plotted in different pharmacokinetic models like first order,higuchi and hixon-crowell models. All formulations followed first order release mechanism. Hemolytic activity ofextract was performed at concentration of 100μg/ml through heat induced hemolysis of erythrocyte membrane modelsystem while anti-bacterial activity was determined by using agar well diffusion method. Acute toxicity assay of crudeextract showed that 1000 mg/kg was safe dose with no toxic symptoms. Excision wounds were induced and woundhealing potential of all formulations was determined. Results were compared and expressed as mean ± SEM, and datawas analyzed by one way analysis of variance (ANOVA) with p<0.05.