bluuebunny/crossref_metadata_2025 huggingface dataset:
Nearly automatic vessels segmentation using graph-based energy minimization
Authors: Freiman Moti , Frank Judith , Weizman Lior , Nammer Einav , Shilon Ofek , Joskowicz Leo , Sosna Jacob
Published: January 2022

We present a nearly automatic tool for the accurate segmentation of vascular structures in volumetric CTA images. Its inputs are a start and an end seed points inside the vessel. The two-step graph-based energy minimization method starts by computing the weighted shortest path between the vessel seed endpoints based on local image and seed intensities and vessel path geometric characteristics. It then automatically defines a Vessel Region Of Interest (VROI) from the shortest path and the estimated vessel radius, and extracts the vessels boundaries by minimize the energy on a corresponding graph cut.

We evaluate our method within the 2009 MICCAI 3D Segmentation Challenge for Clinical Applications Workshop. Experimental results on the 46 carotid bifurcations from clinical CTAs, compared to ground-truth genrated by averaging three manual annotations, yield an average symmetric surface distance of 0.83mm and a Dice similarity of 81.8%, with only three input seeds. These results indicates that our method is easy to use, produces accurate segmentations of vessels lumen, and is robust to intensity variations inside the vessels, radius changes, bifurcations, and nearby anatomical structures with similar intensity values.
Cardiac Interventional Guidance using Multimodal Data Processing and Visualisation: medInria as an Interoperability Platform
Authors: Vichot Florian , Cochet Hubert , Bleuzé Benoît , Toussaint Nicolas , Jaïs Pierre , Sermesant Maxime
Published: January 2022

medInria is a free medical imaging software developed at Inria, which aims at providing clinicians with state-of-the-art algorithms dedicated to medical image processing and visualization. Efforts have been made to simplify the user interface, while keeping high-level algorithms. In this particular article, we will concentrate on its use in preoperative preparation for cardiac interventions, and how we handle the difficulties arising from the lack of standard format for data types such as meshes or fibers, the absence of a common programming interface for data processing algorithms, notably registration, and the issues of visualisation where display conventions would be beneficial.
Big Data Analysis and Visualization with Open Source Tools
Authors: Jomier Julien , Pouderoux Joachim
Published: January 2022

This talk presents the Open-Source toolkits developed by Kitware for big data analysis.
Perspectives on Image-Guided Transapical Beating Heart Aortic Valve Intervention
Authors: Karar Mohamed
Published: January 2022

Image-guided interventional systems become an essential part of the modern minimally invasive surgical procedures, especially for the cardiac surgery. Transapical aortic valve implantation (TAVI) is a recently developed surgical technique to treat severe aortic valve stenosis in elderly and high-risk patients. The placement of stented aortic valve prosthesis is crucial and typically performed under live 2-D fluoroscopy guidance. To assist the placement of the prosthesis during the surgical procedure, a few image-guided TAVI systems have been developed. This work therefore presents current difficulties and challenges of these guidance systems, with consideration of future prospects.
MUSiiC ToolKit 2.0: Bidirectional Real-time Software Framework for Advanced Interventional Ultrasound Research
Authors: Kang Hyun-jae , Cheng Alexis , Boctor Emad
Published: January 2022

Ultrasound (US) imaging is a popular and convenient medical imaging modality thanks to its mobility, non-ionizing radiation, ease-of-use, and real-time acquisition. Conventional US imaging is frequently integrated with tracking systems and robotic systems in Image Guided Therapy (IGT) systems. Recently, these systems are also incorporating advanced US imaging such as US elasticity imaging, photoacoustic imaging, and thermal imaging. Real-time synchronous data from multiple sources and bidirectional data communication are essential for integrating components in advanced US IGT research. We previously proposed the MUSiiC ToolKit [1], a modular real-time software toolkit, and OpenIGTLinkMUSiiC [2], a standard communication protocol extended from the OpenIGTLink library [3, 4]. However, this software framework only supported real-time synchronous data from at most two sources and unidirectional communication at the software module level and class level.

In this paper, we propose MUSiiC ToolKit 2.0, an upgraded software framework for interventional advanced US research sup-porting bidirectional communication, real-time US data processing, and real-time data synchronization from multiple sources. MUSiiC ToolKit 2.0 consists of OpenIGTLink 2.0, OpenIGTlinkMUSiiC 2.0, MUSiiCNotes 2.0, and a collection of executable programs designed for US research. OpenIGTLink 2.0 is a standard TCP/IP-based protocol for the integration of medical imaging and IGT systems. OpenIGTLinkMUSiiC 2.0 is the upgraded version of OpenIGTLinkMUSiiC with new active multi-task classes, data interfaces for supporting bidirectional communication and parallel data processing. MUSiiCNotes 2.0 provides US research-oriented task classes, such as US data acquisition, beamforming, envelope detection, scan conversion, and data synchronization. Graphic User Interface (GUI) units are also available for the executable programs in MUSiiCNotes 2.0. Finally, we introduce advanced US applications based on this new software framework.
Automatic Segmentation of MS Lesions Using a Contextual Model for the MICCAI Grand Challenge
Authors: Morra Jonathan , Tu Zhuowen , Toga Arthur , Thompson Paul
Published: January 2022

Automatically segmenting subcortical structures in brain images has the potential to greatly accelerate drug trials and population studies of disease. Here we propose an automatic subcortical segmentation algorithm using the auto context model. Unlike many segmentation algorithms that separately compute a shape prior and an image appearance model, we develop a framework based on machine learning to learn a unified appearance and context model. In order to test the method, specificity and sensitivity measurements were obtained on a standardized dataset provided by the competition organizers. Our overall score of 77 seems to be competitive with others who’s overall score was in the range of 50 - 90.
An integrated OR system based on open standards
Authors: Bohn Stefan , Gessat Michael , Franke Stefan , Voruganti Arun , Burgert Oliver
Published: January 2022

An open standards based modular OR integration system was designed, which is modelled as component-based service-oriented architecture. Medical devices, IT hardware, and software are integrated as independent components and interconnected through a TCP/IP based Ethernet network. The integrated system facilitates service discovery, time synchronization, systems monitoring as well as component control and network administration. Each of the components exposes its semantic information about offered services as service description to peer components. The service description object is based on a generic model and contains all information about attributes, functions, streams as well as information on the used protocols that are required to access the services. An open standards based programming library for the rapid development of server/client components including example modules was developed. A prototype setup of the entire integrated OR system was realized within a demonstrator OR lab.
Realistic And Efficient Brain-Skull Interaction Model For Brain Shift Computation
Authors: Joldes Grand roman , Wittek Adam , Miller Karol , Morriss Leith
Published: January 2022

In this paper we propose the usage of a very efficient contact implementation for modeling the brain-skull interaction. This contact algorithm is specially design for our Dynamic Relaxation solution method for solving soft-tissue registration problems. It makes possible the use of complex biomechanical models which include different nonlin-ear materials, large deformations and contacts for image registration. The computational examples prove the accuracy and the computational efficiency of our methods. For a model having more than 50000 degrees of freedom, a complete simulation can be done in less than a minute.
MAP–Based Framework for Segmentation of MR Brain Images Based on Visual Appearance and Prior Shape
Authors: Alansary Amir , Soliman Ahmed , Khalifa Fahmi , Elnakib Ahmed , Mostapha Mahmoud , Nitzken Matthew , Casanova Manuel , El-Baz Ayman
Published: January 2022

We propose a new MAP-based technique for the unsupervised segmentation of different brain structures (white matter, gray matter, etc.) from T1-weighted MR brain images. In this paper, we follow a procedure like most conventional approaches, in which T1-weighted MR brain images and desired maps of regions (white matter, gray matter, etc.) are modeled by a joint Markov-Gibbs Random Field model (MGRF) of independent image signals and interdependent region labels. However, we specifically focus on the most accurate model identification that can be achieved. The proposed joint MGRF model accounts for the following three descriptors: i) a 1st-order visual appearance descriptor(empirical distribution of signal intensity), ii) a 3D probabilistic shape prior, and iii) a 3D spatially invariant 2nd-order homogeneity descriptor. To better specify the 1st-order visual appearance descriptor, each empirical distribution of signals is precisely approximated by a Linear Combination of Discrete Gaussians (LCDG) having both positive and negative components. The 3D probabilistic shape prior is learned using a subset of 3D co-aligned training T1-weighted MR brain images. The 2nd-order homogeneity descriptor is modeled by a 2nd-order translation and rotation invariant MGRF of 3D T1-weighted MR brain region labels with analytically estimated potentials. The initial segmentation, based on a 1st-order visual appearance and 3D probabilistic shape, is then iteratively refined using a 3D MGRF model with analytically estimated potentials. Experiments on twelve 3D T1-weighted MR brain images confirm the high accuracy of the proposed approach.
CTest Integration of Sikuli Automated GUI Testing
Authors: Schwab Evan , Gelas Arnaud , Souhait Lydie , Rannou Nicolas , Mosaliganti Kishore , Megason Sean
Published: January 2022

In order to test our software GoFigure2 for the visualization and the processing of extremely large 3D+t microscopy images, we utilized the visual programming technology Sikuli to automate our GUI testing. We then integrated these Sikuli tests into CTest and used CDash to report the results on a dashboard with the view to test our software automatically every night and detect bugs as soon as they occur. Our rate of releases more than doubled as a result.
Ensemble segmentation using AdaBoost with application to liver lesion extraction from a CT volume
Authors: Shimizu Akinobu , NARIHIRA Takuya , FURUKAWA Daisuke , KOBATAKE Hidefumi , NAWANO Shigeru , SHINOZAKI Kenji
Published: January 2022

This paper describes an ensemble segmentation trained by the AdaBoost algorithm, which finds a sequence of weak hypotheses, each of which is appropriate for the distribution on training example, and combines the weak hypotheses by a weighted majority vote. In our study, a weak hypothesis corresponds to a weak segmentation process. This paper shows a procedure for generating an ensemble segmentation algorithm using AdaBoost, and applies it to a liver lesion extraction problem from a contrast enhanced abdominal CT volume. A leave-one-patient-out validation test using 16 CT volumes demonstrated the effectiveness of the generated ensemble segmentation algorithm. In addition, we evaluated the performance by applying the algorithm to unknown test data provided by the �3D Liver Tumor Segmentation Challenge 2008�.
Real-time Tracking of the Left Ventricle in 3D Ultrasound Using Kalman Filter and Mean Value Coordinates
Authors: Smistad Erik , Lindseth Frank
Published: January 2022

A method for real-time automatic tracking of the left ventricle (LV) in 3D ultrasound is presented. A mesh model of the LV is deformed using mean value coordinates enabling large variations. Kalman filtering and edge detection is used to track the mesh in each frame. The method is evaluated using the framework of the Challenge on Endocardial Three-dimensional Ultrasound Segmentation (CETUS). The results show that the method is able to robustly track the LV in all sequences with a mean mesh difference of about 2.5 mm
Two Point Minimum Cost Path Approach for CTA Coronary Centerline Extraction
Authors: Metz Coert , Schaap Michiel , van Walsum Theo , Niessen Wiro
Published: January 2022

In this work a minimum cost path approach is adopted to extract coronary artery centerlines from CTA data. The algorithm depends on the manual definition of the start and end point of the vessel. The cost image used in the minimal cost path approach is based on a vesselness measure and a smooth window function on intensity. In the majority of the cases the method was able to extract the centerlines successfully (overlap > 90%). Accuracy of the method is around two times the voxelsize of the datasets. To conclude, minimum cost path approaches have potential for coronary artery centerline extraction, but improvements, especially regarding the accuracy of the method, still need investigations.
LV Challenge LKEB Contribution: Fully Automated Myocardial Contour Detection
Authors: Wijnhout Jeroen , Hendriksen Dennis , Van Assen Hans , Van der geest Rob
Published: January 2022

In this paper a contour detection method is described and evaluated on the evaluation data sets of the Cardiac MR Left Ventricle Segmentation Challenge as part of MICCAI 2009’s 3D Segmentation Challenge for Clinical Applications. The proposed method, using 2D AAM and 3D ASM, performs a fully automated detection of the myocardial contours, not requiring any user interaction. The algorithm’s performance is reported using the metrics provided by the LV Challenge organization. Endocardial contour detection was classified as successful in 86% of the images and epicardial contours in 94%. The average perpendicular distance (APD) of the successful contours was 2.28 mm and 2.29 mm for the endo- and epicardial contours, respectively.
Modified Expectation Maximization Method for Automatic Segmentation of MR Brain Images
Authors: R Meena prakash , R Shantha Selva Kumari
Published: January 2022

An automated method of MR Brain image segmentation is presented. A block based Expectation Maximization method is presented for the tissue classification of MR Brain images. The standard Gaussian Mixture Model is the most widely used method for MR Brain Image Segmentation and Expectation Maximization algorithm is used to estimate the model parameters. The Gaussian Mixture Model considers each pixel as independent and does not take into account the spatial correlation between the neighbouring pixels. Hence the segmentation result obtained using standard GMM is highly sensitive to Inensity Non-Uniformity and noise. The image is divided into blocks before applying EM since the GMM is preserved in the local image blocks. Also, Nonsubsampled Contourlet Transform is employed to incorporate the spatial correlation among the neighbouring pixels. The method is applied to the 12 MR Brain volumes of MRBRAINS13 test data and the White Matter, Gray Matter and CSF structures were segmented.
The relationship of some physical variables and performance angles to the strength of the straight serve in tennis
Authors: Zainab Shakir  , Widad Kadhum
Published: January 2022

تكمن مشكلة البحث في تحديد الزوايا المناسبة بقوة الارسال الأول بالتنس بأعمار(14-16)سنة وفق الشروط البايوميكانيكية المحددة ،ومدى علاقة كل متغير من المتغيرات البدنية في نجاح أداء مهارة الارسال المستقيم بالتنس ،و تحقيق قوة الأرسال المستقيم بالتنس بأعمار(14-16)سنة ،وهي من المبادئ البايوميكانيكية التي يمكن الاستعانة بها في تقويم زوايا اجزاء جسم للاعبين الناشئين التنس الأرضي.
وهدف البحث الى التعرف  على  نسبة مساهمة بعض المتغيرات البدنية بقوة الارسال بالتنس بأعمار(14-16)سنة،ونسبة مساهمة بعض زوايا الجسم بقوة الارسال المستقيم بالتنس بأعمار(14-16)سنة ، تم استخدام المنهج الوصفي لدراسة العلاقات الأرتباطية ،عينة البحث لاعبين اكاديمية الجادرية للتنس بأعمار (14-16)سنة / والبالغ عددهن (18) لاعباً.
وتوصلت الباحثتان الى عدد من النتائج أهمها: وجود علاقة  ارتباط ذات دلالة  احصائية  بين  بعض  القدرات  البدنية  وزوايا الجسم بقوة الأرسال المستقيم بالتنس الأرضي،ان متغير قوة القيضة الذراع الضاربة اهمية كبيرة في تحقيق قوة الأرسال االمستقيم لناشئي التنس الأرضي، كلما تقل الزوايا (المرفق ،الكتف،الركبة للرجل الأمامية )لحظة ضرب الكرة  تزداد قوة الأرسال ، ان متغيرقوة القبضة علاقة ارتباط مع بعض المتغيرات البايوميكانيكية وذلك لان مهارة الأرسال تتطلب قوة الذراع الضاربة اثناء اداء المهارة .
RANCANG BANGUN MODUL PRAKTIKUM APLIKASI OP-AMP BERBASIS IC 741 DAN IC 301
Authors: Nugraha Wahyu Rizal , Sollu Tan Suryani , Amir Ardi
Published: January 2022

The objective of this research is to design and create a practicum application of op-amp (operational amplifier) based on IC 741 and IC 301. By adding the components R (Resistor) C (Capacitor) IC op-amp can be applied into several series. In this practical tool there are several modules of the experiment such as multiplier, the enumerator, deduction, comparison, integrator, differentiators. This tool also equipped with a series active filter such as low pass filter, high pass filter, band pass filter and band stop filter. This practical tools requires some tool support in the form of power supply as an input voltage, a function generator to generate signals with different shapes as desired in accordance with the requirements when the practical activities and the oscilloscope as a tool of reader input waveform and the output of the circuit that exist in practical tools. Practical activities and oscilloscopes as input and output wave reader from the circuits in the practicum
RANCANG BANGUN PEMBACAAN VOLUME AIR YANG DIKONSUMSI PELANGGAN PDAM MELALUI SMS
Authors: Purwantoro Jepri , Sollu Tan Suryani , Amin Nurhani
Published: January 2022

The PDAM is still using an analog flow meter. For PDAM customers, information on analog flow meters is difficult to access and convert into payment amounts. With an analog reading system, the PDAM officer still records using the manual method of the customer's total water consumption data.

From the problems above, we need a digital reading system that can display customer water consumption and payment data that can be accessed by customers. The reading of the volume of water consumed by PDAM customers via SMS is a device designed based on the Arduino Uno microcontroller, equipped with the ability to monitor water usage in real time using SMS media.

The reading of the volume of water consumed by PDAM customers uses a water flow sensor that functions to read the flow of water that passes and provides pulse output. Arduino Uno receives pulse output from the water flow sensor which is then converted into a number that shows the number and tariff of water usage of PDAM customers. The LCD displays information on total usage, usage rates, time and date in real time. The SIM800L module sends SMS based on orders received from customers and PDAM officials. The results achieved in this study are the water flow sensor is able to read the amount of water consumption of PDAM customers with an average deviation of 0.034%. Tests show the results of payment conversions are in accordance with the PDAM payment model in Palu City.
The Impact of Blockchain Technology on Food Waste Management in the Hospitality Industry
Authors: Kopanaki Evangelia , Stroumpoulis Asterios , Oikonomou Maria
Published: January 2022

This paper examines blockchain technology and food waste management in the hospitality industry. Food waste prevention is an important issue for hotels, as food consumption is difficult to estimate, often leading to huge amounts of waste. Food waste occurs at each stage of the food supply chain and represents a big percentage of hospitality waste. Although many studies examine the difficulties of food waste management, only a limited number of studies examine the stages of food waste inside food supply chains. The coordination of food supply chains can be supported by blockchain technology, which can break the supply chain into smaller parts and help managers to better mitigate food control. To address these issues, this paper conducts an extensive literature review, firstly to clarify the concept of food waste management in the hospitality industry and secondly to examine the benefits of the use of blockchain technology in food supply chains. Combining the obtained knowledge, this study aims to analyze the relationship between blockchain and food waste management practices. It also aims to examine how this combination boosts hotels to increase their performance and gain customers’ loyalty. Therefore, this paper analyses food waste management in the hospitality industry makes propositions on how blockchain technology could support food waste management in the food supply chain and forms the base for future research.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Can the Trust in Uber-like Platform Use Be Translated into Parcel Logistics?
Authors: Bartucz Csilla
Published: January 2022

Rising expectations for urban logistics are the biggest challenge for parcel service providers. The increased costs posed by obstacles reduce profitability, and providers are forced to develop a novel operating model based on cooperation. The new model can combine what is known so far, which can be integrated into a platform-based system to implement collaborative resource sharing. The implementation of the platform will result in the introduction of a new player and the creation of a partly common ICT background. The platform-based approach is known in the context of the sharing economy initiative, which has also brought a novel trust-based model to life. On the one hand, this article presents a possible business model for parcel logistics providers and, on the other hand, the operation of a third-party IT platform and the method of resource allocation designed to reduce costs. In addition, it presents the possible reasons for the intention to join the platform and the conditions necessary to maintain the platform.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Innovative Capacities of Shipbuilding Organizations Manufacturing Composite Ships
Authors: Šugar Violeta , Zanze Josip
Published: January 2022

During the transitional period at the end of the 20th century, Croatian small composite shipbuilding (SCS) had merely 27 models. Still, at the end of the first decade of the 21st century, this innovative industry showed resilience and readiness to adapt to the new business conditions and created 237 basic models. The main goal of the research was the assessment of the innovative capacity of SCS in Croatia. The research was carried out via survey and interviews. It included 73 SCS organisations, based on the main hypothesis that there is a positive relationship between the innovative capacity and innovative appearances (innovative management, innovation culture, innovative policy, and innovative factors) as well as the performance of the organization. The testing was performed with the Pearson’s correlation coefficient, the ANOVA and the post hoc LSD test resulted in the confirmation of the main and the three ancillary hypotheses. For the first time in Croatia, a new model of assessment of innovative capacities and innovative phenomena is presented, aiming to raise awareness of the need to strengthen the innovative capacities as a basis for the development of SCS.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Impact of Modern Communication Channels on Business Processes
Authors: Globočnik Žunac Ana , Kocijan Samanta , Martinčević Ivana
Published: January 2022

Business organizational communication, due to digitalization and transformations that take place in this sense in all business processes, takes a significantly different form from the one that used to be usually up to recently. Online business communication is usually more economical and faster than offline communication, and this reflects its important advantages, but the lack of contact can be one of the disadvantages and can lead to information overload and reduced concentration of recipients. The pandemic, which has driven businesses to focus on digital communication channels as much as possible, certainly has a significant impact on accelerating this change. Determining the extent to which these channels are optimal for overall business and communication processes is the focus of this paper, which presents secondary research of available scientific theory. The aim of this paper is to gather in one place the known scientific facts and determine in which future direction research of business communication should go. The paper shows the impact of the need to adapt to new communication channels on stress levels and points to the problem of a lack of feedback with nonverbal signals that are common in traditional contact communication (which is not online). In addition, the results indicate increased use of written business communication, which raises questions about the increased need for education in this regard.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Perception of Fairness of Interaction in Handling Complaints of Users of Travel Agency Services: Evidence from Serbia and Croatia
Authors: Jevtić Jelena , Tomić Slavica , Leković Ksenija
Published: January 2022

Service-dominant logic observes the user as a co-creator of value in the process of providing services. In the case of a complaint, as a result of dissatisfaction, the user and the travel agency become a co-creator of the value of service recovery. The perception of interactionist fairness is one of the determinants of a user’s complaint behaviour. Interactionist fairness is seen in the extent to which users consider to be treated fairly in terms of their interaction with a travel agency employee during the service recovery process. The research presented in this paper is based on determining the differences in perception of fairness of interaction in handling complaints of users of travel agency services in terms of their socio-demographic characteristics. The survey was conducted on a sample that included 297 respondents from the territory of Serbia and Croatia. The proposed hypotheses were tested using the Mann – Whitney U test and the Kruskal–Wallis test. The purpose of this paper is to point out to travel agencies the importance of users’ reactions to unsatisfactory service as a kind of reflection of cooperation in service recovery.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Impact of Covid-19 on e-Commerce in the European Union
Authors: Yaw Acheampong Timothy
Published: January 2022

The advent of the 4th Industrial Revolution has made it inevitable for firms worldwide to modify their business models to integrate ICTs into their operations. The lockdown measures to contain the COVID-19 pandemic appear to have accelerated this process as many businesses, particularly in the hospitality industry, had to shut down their operations. Others also had to resort to conducting their businesses solely online. Thus, it has been argued that e-commerce has thrived during the lockdown period. Concentrating on the current 27 European Union (EU) member countries, this paper seeks to answer the following question: To what extent the COVID-19 impacted e-commerce has? Trend analyses and a paired samples t-test are used to compare the mean percentage of enterprises with e-commerce sales before the pandemic and the first year. The study finds a significant increase in the percentage of enterprises that made e-commerce sales during the first year of the pandemic compared to the previous year (t=-2.06; df=25). Except for the western EU member countries, all other regions increased the percentage of enterprises that made e-commerce sales, with the southern EU countries witnessing the highest increase.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Functional Quality of Service During Events: An Empirical Analysis
Authors: Lamberz Julia , Litfin Thorsten
Published: January 2022

Visitors to events attach great importance to the range of artists and their performances and the quality of their stay and services. To create a staging and, consequently, an emotionalization of the visitor, many action areas simultaneously take effect at an event. In this context, the customer satisfaction of visitors plays a major role for event organizers, which aims to generate a competitive advantage over other providers and be attractive for artists simultaneously. This article aims to analyse the perceived functional quality of service (QoS) during various events in a multi-purpose event venue. The analysis was based on 563 primary data samples. On the off chance, selected visitors were during the events recruited and interviewed using a standardized questionnaire. The data were collected during the break of five events. These events took place in the period from mid-November to mid-December 2019. This was supplemented by an online survey of enthusiastic fan club visitors who regularly watch handball matches within the event venue. The online survey was conducted in parallel with the surveys during November 2019. Overall, the results showed a high level of satisfaction among visitors regarding the QoS. In addition to services, exploratory factor analysis identified cleanliness as a satisfaction factor that significantly accounted for overall service satisfaction. Differences in the perception of both factors could be detected between the fan club visitors on the one hand and all other visitors of various events (comedy, music, sports) on the other. Based upon the results of this analysis, the event managers of this venue are enabled to employ target group-oriented improvements of individual services to consolidate and increase customer satisfaction.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Smart Suit Design For Military
Authors: Sakaci Burak , Yildirim Tulay
Published: January 2022

In this study, a system was established to provide interactive communication among the 9 military personnel through the equipment installed in their bodies. This communication is also provided so that it can be viewed by a specific central base and intervened if necessary. Interpretation of the realized cyber-physical system data is aimed at preventing the existing problems.
A Convolutional Neural Network Model for Road Flow Direction Detection
Authors: Tumen Vedat , Yildirim Ozal , Ergen Burhan
Published: January 2022

It is an important work area to determine realtime characteristics of roads where vehicles are in motion in critical areas where artificial intelligence is effectively used, such as driverless vehicles. The purpose of this article work is to present a deeper learning method that will allow a vehicle in motion to detect the direction of flow in the path. Convolutional Neural Networks (KSA) have been used as deep learning models for the determination of the direction of flow (YAY) in the study. The YAY-KSA model developed for flow direction detection is applied on 587 real road images in the CMU VASC image database. To compare the performances of the prepared model, Cifar model which is a common KSA model was applied on the same data. According to the classification results obtained, it was seen that the designed YAY-KSA model correctly determined flow direction at 80.1% level.
TOWARDS BETTER INVOLVEMENT IN GREEN BANKING PRACTICES: EVIDENCE FROM ROMANIA
Authors:   Institute for World Economy, Romanian Academy, Baicu Claudia Gabriela
Published: January 2022

The European Green Deal has re-ignited the imperative of green finance that is called to support the European Union transition to a greener economy. Green finance becomes even more opportune in the context of the economic recovery after the COVID-19 pandemic. The aim of the paper is to explore green banking practices in the Romanian banking system. The investigation reveals the efforts of banks to be environmentally friendly and to be involved in financing of some green projects, such as the energy efficient projects. Nevertheless, the green banking products are still in the emerging stage and banks in Romania should develop their role in the field, by diversifying the range of green products and services, improving the expertise to assess green projects or intensifying the marketing initiatives to promote green products. In order to encourage banks in Romania to provide green financing several incentives should be conceived; similar to banks, the borrowers seeking green projects should be rewarded. Some mandatory requirements for banks to be involved in green investments may promote green banking in Romania. An essential condition to achieve the development of green banking in Romania is to increase awareness towards environmentally friendly behaviour at all levels.
Największe osiągnięcia językoznawstwa indoeuropejskiego ostatniego stulecia – teoria laryngalnych, paradygmaty
akcentuacyjno-apofoniczne, derywacja wewnętrzna i system Calanda
Authors: Piwowarczyk Dariusz R.
Published: January 2022

Artykuł przedstawia wybrane osiągnięcia współczesnego językoznawstwa historyczno-porównawczego indoeuropejskiego od początku XX wieku do czasów obecnych, koncentrując się przede wszystkim na zagadnieniu teorii laryngalnych, rekonstrukcji prajęzykowych paradygmatów akcentuacyjno-apofonicznych, derywacji wewnętrznej i systemie Calanda. Autor zauważa, że brakuje w polskich pracach naukowych pozycji, która opisywałaby obecny stan badań, a w konsekwencji większość publikacji polskich odnoszących się do epoki praindoeuropejskiej opiera się na przestarzałych rekonstrukcjach.
The greatest achievements of Indo-European linguistics of the last century – the laryngeal theory, accent-ablaut
paradigms, internal derivation and the Caland system
Summary: The article presents selected achievements of Indo-European linguistics that have been made since the beginning of the 20th century up to the present, concentrating especially on the laryngeal theory, the reconstruction of the proto-language accent-ablaut paradigms, internal derivation and the Caland system. The author observes that there are no Polish scientific publications describing the current state of research and, as a consequence, most of the Polish publications that deal with the Proto-Indo-European era are based on outdated reconstructions.
Rząd, porządek i ład jako leksemy wpisane w dawne pojęcie porządek społeczny
Authors: RASZEWSKA-ŻUREK BEATA
Published: January 2022

Artykuł poświęcony jest występowaniu głównych eksponentów pojęcia porządek społeczny w tekstach
doby staro- i średniopolskiej – leksemów rząd – najstarszego, porządek – najczęstszego i ład –
późnego i rzadkiego. Przedmiotem analizy są ich rzeczownikowe kolokacje, które wskazują na relacje
semantyczne z innymi wyrazami. Analiza taka pozwala na odkrycie powiązań między pojęciami, do
których się odnoszą, ale nie wystarcza do precyzyjnego określenia ich charakteru. Wskazuje na silną
współzależność dawnego porządku społecznego i prawa, nadrzędność w stosunku do kilku pojęć ze
sfery stosunków społecznych, jak zgoda i pokój, relację zbliżoną do wynikania względem pojęć utylitarnych,
jak bogactwo i zapobiegliwość i niejednoznaczny związek z pojęciami wolność i sprawiedliwość.
Miejsce porządku społecznego w kręgu pojęć społecznych ustaliło się w czasach renesansu
i do końca doby średniopolskiej pozostawało stałe, a samo pojęcie łączyło się wówczas z pozytywnym
ładunkiem aksjologicznym.
Rząd, porządek and ład as Polish lexemes inscribed in the old concept of social order
Summary: The article is devoted to the occurrence of the main exponents of the concept of porządek społeczny
[social order] in Old and Middle Polish texts, i.e. the lexemes: rząd – the earliest one, porządek – the
most frequent one, and ład – the most recent and rare. The analysis explores the nominal collocations
of these items, which indicate semantic relations with other words. The analysis enables us to discover
the links between the concepts to which they refer, but it is not sufficient to establish their nature in an accurate manner. There is an indication of 1) a strong interdependence of the early social order and law, 2) of the superiority in reference to a number of concepts which represent the sphere of social relationships, such as zgoda [harmony] and pokój [peace], 3) of a relationship that is akin to resulting in respect to utilitarian concepts, such as bogactwo [opulence] and zapobiegliwość [foresight], and 4) of the ambiguous relationship with the concepts of wolność [freedom] and sprawiedliwość [justice]. The place of social order in the sphere of social concepts was established during the Renaissance and remained stable until the end of the Middle Polish period, whereas the concept itself was associated at that time with a positive axiological charge.
The effect of the use of a soil improver based on waste brown coal on the
enzymatic activity of soil in the cultivation of Paulownia hybrids (Paulownia
Siebold & Zuccarini, 1835)
Authors: Niedbała Mateusz
Published: January 2022

The effect of the use of a soil improver based on waste brown coal on the enzymatic activity of soil in the cultivation of Paulownia hybrids (Paulownia Siebold & Zuccarini, 1835). An important element in controlling the condition of the soil and the plants grown on it are tests of the enzymatic activity of the soil matrix. One of the greatest advantages of using enzyme tests is the ability to make an assessment that also includes other non-measurable factors that affect soil health and condition. The diagnosed changes in soil enzymatic activity are the best parameter for determining the biochemical processes taking place there. This article describes the enzymatic activity of lessive soils on which the Paulownia hybrid variety is cultivated and a soil improver based on waste brown coal is used
Application of Seafloor Mapping Technology for Search and Rescue: AirAsia QZ8501 Case Study
Authors: Rahadian Rahadian , Irfan Muhammad , Yordan Athur , Wiguna Taufan , Bachir Ouzani
Published: January 2022

Seafloor mapping shows size, position, and depth of morphology and any objects at seafloor. Therefore, these technologies can be used to search and rescue (SAR) which are applied when AirAsia QZ8501 was missing at southern Karimata Strait using three vessels, RV. Baruna Jaya I, MV. Java Imperia, and KN. Trisula. Seafloor mapping technologies that applied were (i) multibeam echosounder system (MBES), (ii) side scan sonar (SSS), (iii) magnetometer (MM), (iv) autonomous underwater vehicle (AUV), (v) pinger locator (PL), (vi) underwater remotely operated vehicles (ROV). MBES, SSS, AUV, and USBL use acoustic wave that transmitted by transducer to seafloor then it back to reciever. Indirectly, MBES and SSS generate 3D image based on acoustics signal according to sound propagation and its travelling time in sea from transducer to receiver. MBES and SSS transmit acoustic wave with frequency 180 kHz for MBES and dual-frequency (120 kHz and 420 kHz) for SSS. AUV that attached SSS working with frequency 600/1600 kHz. USBL that used as pinger locator transmit acoustic wave with same frequency as blackbock which known using 37.5 kHz. USBL inform distance between transducer to blackbox, so that the position of blackbock can be determined by triangulation method. MBES and SSS on KR. Baruna Jaya I detect suspect anomaly with height about 3 meters. SSS that installed on AUV and operated on KN Trisula detect an object looks like human body. Triangulation method was done on MV. Java Imperia has found blackbox position.
2D Seismic Imaging Improvement through Prestack Depth Migration (PSDM) Method
Authors: Suherman Iyod , Wiguna Taufan , Rahadian Rahadian , Muljawan Djunaedi , Moefti Omar
Published: January 2022

The quality of seismic is important for interpretation. Prestack Depth Migration produce better quality of seismic imaging. The seismic generated through PSDM method has better seismic reflector and geological structure appearance compared to Prestack Time Migration (PSTM) method. Accurate interval velocity modeling is a key in PSDM process, involving dix transformation, coherency inversion, and tomography. Comparison between PSTM and PSDM show that PSDM offer better imaging for interpretation because PSDM has better seismic reflector continuity and good geological appearance.
Dynamic Response of Non-linear Beam Structures in Deterministic and Chaos Perspective
Authors: Dolu Anwar , Nasution Amrinsyah
Published: January 2022

The behavior of large deformation beam structures can be modeled based on non-linear geometry due to geometricnonlinearity mid-plane stretching in the presence of axial forces, which is a form a nonlinear beam differential equationof Duffing equation type. Identification of dynamic systems from nonlinear beam differential equations fordeterministic and chaotic responses based on time history, phase plane and Poincare mapping. Chaotic response basedon time history is very sensitive to initial conditions, where small changes to initial terms leads to significant change inthe system, which in this case are displacement x (t) and velocity x’(t) as time increases (t). Based on the phase plane, itshows irregular and non-stationary trajectories, this can also be seen in Poincare mapping which shows strange attractorand produces a fractal pattern. The solution to this Duffing type equation uses the Runge-Kutta numerical method withMAPLE software application.
Characterization of Neutron and Gamma Beams at the TRIGA 2000 Reactor Beam Ports Using Monte Carlo
Authors: Rasito Rasito , Permana Sidik , Y Ilham
Published: January 2022

Neutron and gamma beams characterization at the beam ports of TRIGA 2000 reactor was done in order to prepare the development of Prompt Gamma Neutron Activation Analysis (PGNAA) facility. Characterization was performed by simulation using Monte Carlo method with MCNPX and PHITS computer codes. The MCNPX code is used to simulate the neutron-gamma fluence and spectra of the reactor core from fission reactions. The PHITS code is used to simulate the distribution of the neutron-gamma fluence in the beam ports. The simulation was done by modeling the geometry and elemental composition of reactor material and radiation source model in the form of fission reaction in the reactor core. This results will be used to select the most suitable one of the four beam ports for the PGNAA use, based on the prescribed requirements, such as the neutron spectral characteristics and neutron-gamma fluence ratio at the beam port’s outlet. The results indicate that the tangential beam port provides better characteristics of neutron spectrum and neutron-gamma fluence ratio so become most suitable for PGNAA facility.
Review on monitoring natural and environmental radiation and its potential from mining products
Authors: Yasmint Imam Ghazali
Published: January 2022

Monitoring of natural radiation in Indonesia has been carried out by various parties, from researchers, academics at universities to special agencies tasked with handling this matter, such as the National Nuclear Energy Agency (Batan) and the Nuclear Energy Supervisory Agency (Bapeten). Batan through the Center for Radiation Safety and Metrology Technology (PTKMR) is in charge of monitoring natural radiation at the national level. The purpose of this paper is to review the monitoring of natural and environmental radiation in Indonesia and the potential of mining products as a source of natural radiation. The mining products that will be reviewed in this paper are natural uranium and thorium which are usually found in several mines, such as tin mines and others.
Experimental Work for Bar Straightness Effect Evaluation of Split Hopkinson Pressure Bar
Authors: Afdhal Afdhal , Gunawan Leonardo , Dirgantara Tatacipta
Published: January 2022

Bar straightness is one of several factors that can affect the quality of the strain wave signal in a Split Hopkinson Pressure Bar (SHPB). Recently, it was found that the bar components of the SHPB at the Lightweight Structures Laboratory displayed a deviation in straightness because of manufacturing limitations. An evaluation was needed to determine whether the strain wave signals produced from this SHPB are acceptable or not. A numerical model was developed to investigate this effect. In this paper, experimental work was performed to evaluate the quality of the signal in the SHPB and to validate the numerical model. Good agreement between the experimental results and the numerical results was obtained for the strain rates and stress-strain relationship for mild steel ST37 and aluminum 6061 specimen materials. The recommended bar straightness tolerance is proposed as 0.36 mm per 100 mm.
Standardized ileal digestibility of amino acids of protein sources associated with exogenous enzymes for broilers
Authors: Fortes Bruno Duarte Alves , de Carvalho Mello Heloisa Helena , Café Marcos Barcellos , Arnhold Emmanuel , Stringhini José Henrique
Published: January 2022

Objective: Two experiments were conducted to evaluate the effect of enzyme complex (EC) on the standardized ileal digestibility (SID) of amino acids (AA) in corn gluten meal (60%) (CGM), soy protein concentrate (SPC), dried bovine plasma (DBP), and poultry offal meal (POM). Experiments I and II were conducted with broilers in the pre-starter (1 to 7 days of age) and starter (1 to 21 days of age) phases, respectively.Methods: The treatments consisted of a protein-free diet (PFD) containing feedstuffs either supplemented with EC (xylanase, amylase, and protease) or not. In Experiment I, a total of 360 one-day-old male Cobb-500 broiler chicks were randomly housed in 45 pens, resulting in five replicates with eight birds each, totalizing eight treatments and one PFD group. In Experiment II a total of 270 one-day-old male Cobb-500 broiler chicks were randomly housed in 45 pens, resulting in five replicates with six birds each, totalizing eight treatments and one PFD group. The PFD groups were used to assess the endogenous AA losses. The birds were slaughtered to collect the ileal content.Results: In the pre-starter phase, the SID of arginine, branched chain-aminoacids, glycine, serine, aspartate, and glutamic acid increased with EC addition. The EC improved the SID of arginine and glutamic acid of CGM; the SID of valine and cystine of SPC; the SID of leucine, glycine, and aspartate of POM and the SID of isoleucine of DBP. In the starter phase, the SID of isoleucine, phenylalanine and glycine increased in EC-supplemented diets. The EC improved the SID of isoleucine of DBP; the SID of phenylalanine of CGM and POM. The SID of AA of SPC was not influenced by the EC.Conclusion: The addition of an EC to broiler pre-starter and starter diets is efficient in increasing the SID of AA on SPC, POM, and DBP.