bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Statistical Reconstruction Method for the Computed Tomography Using an X-Ray Tube with Flying Focal Spot
Authors: Cierniak Robert , Pluta Piotr , Waligóra Marek , Szymański Zdzisław , Grzanek Konrad , Pałka Filip , Piuri Vincenzo 
Published: October 2021

Abstract
This paper presents a new image reconstruction method for spiral cone- beam tomography scanners in which an X-ray tube with a flying focal spot is used. The method is based on principles related to the statistical model-based iterative reconstruction (MBIR) methodology. The proposed approach is a continuous-to-continuous data model approach, and the forward model is formulated as a shift-invariant system. This allows for avoiding a nutating reconstruction-based approach, e.g. the advanced single slice rebinning methodology (ASSR) that is usually applied in computed tomography (CT) scanners with X-ray tubes with a flying focal spot. In turn, the proposed approach allows for significantly accelerating the reconstruction processing and, generally, for greatly simplifying the entire reconstruction procedure. Additionally, it improves the quality of the reconstructed images in comparison to the traditional algorithms, as confirmed by extensive simulations. It is worth noting that the main purpose of introducing statistical reconstruction methods to medical CT scanners is the reduction of the impact of measurement noise on the quality of tomography images and, consequently, the dose reduction of X-ray radiation absorbed by a patient. A series of computer simulations followed by doctor’s assessments have been performed, which indicate how great a reduction of the absorbed dose can be achieved using the reconstruction approach presented here.
Nuclear warfare beyond counterforce
Authors: Gallagher Mark , Cevallos Michael 
Published: October 2021

Abstract
A counterforce attack intends to disable an opponent's nuclear arsenal to limit potential damage from that adversary. We postulate a future when hardening and deeply burying fixed sites, transition to mobile strategic systems, and improved defences make executing a counterforce strategy against an adversary's nuclear forces extremely difficult. Additionally, our postulated future has multiple nations possessing nuclear weapons. Consequently, each country needs to consider multiple actors when addressing the question of how to deter a potential adversary's nuclear attack. We examine six nuclear targeting alternatives and consider how to deter them. These strategies include nuclear demonstration, conventional military targets, and attacks consisting of communications/electronics, economic, infrastructure, and population centers that a nation might consider striking with nuclear weapons. Since these alternative strikes require only a few nuclear weapons, executing one of them would not significantly shift the balance of nuclear forces. The attacking country's remaining nuclear forces may inhibit the attacked country or its allies from responding. How can nations deter these limited nuclear attacks? Potentially, threatening economic counter-strikes seems to be the best alternative. How might escalation be controlled in the event of a limited attack? Other instruments of power, such as political or economic, might be employed to bolster deterrence against these types of nuclear strikes.
Chatbot as a Tool for Knowledge Sharing in the Maintenance and Repair Processes
Authors: Mleczko Katarzyna 
Published: October 2021

Abstract
In the era of digitization and general access to Internet resources, it seems natural to expect fast, direct, and tailored access to the knowledge of interest. The research shows that the use of modern technologies is not reserved only for industrial solutions, but can be applied in common use. Solutions based on artificial intelligence can provide solutions to many problems of the modern world. This is particularly visible in the era of challenges related to ecology (e.g. minimization of paper consumption) and expectations of fast access to information regardless of place and time. Treating chatbots as a tool supporting the customer in current activities, quick problem-solving shows the potential and care for the image of the producers. Developing the functionality of virtual assistants used for marketing activities with the functionality of technical support can bring tangible benefits both in the economic and social spheres. It should be noted that electronic versions of documents, knowledge transferred in an interactive form can be easily updated and presented in different forms. This increases the attractiveness of transmitted knowledge, users can choose the appropriate form, and access to these resources becomes easier. Artificial intelligence-based tools in the form of chatbots (also called virtual assistants) seem to be a solution worthy of interest. This paper presents the process of developing a virtual assistant to support the maintenance and repair activities of small household appliances. A chatbot aims at gathering in one place and then providing dedicated knowledge resources to an individual user on a just-in-time basis.
Peripheral areas and their distinctive characteristics: The case of Hungary
Authors: Pénzes János , Demeter Gábor 
Published: October 2021

Abstract
The delimitation and classification of peripheral settlements using multivariate statistical methods is presented in this article, with a case study of Hungary. A combination of four different methods provided the basis for the delimitation of settlements defined as peripheral. As significant overlapping was detected between the results of the different methods, peripheries – more than one-fifth of the Hungarian settlements – were identified in a common set of the results. The independence of the results from the applied methods points to the fact that peripherisation is multi-faceted, and the peripheries of Hungary are stable and well-discernible from other regions. After the identification of peripheral areas, we classified these settlements into groups based on their specific features. Multiple steps specifying the relevant variables resulted in selecting the most appropriate 10 indicators and these served as the basis for a hierarchical cluster analysis, through which 7 clusters (types of peripheries) were identified. Five of them comprised enough cases to detect the most important dimensions and specific features of the backwardness of these groups. These clusters demonstrated a spatial pattern and their socioeconomic and infrastructural features highlighted considerable disparities. These differences should be taken into consideration when development policies are applied at regional levels or below.
The role of vocabulary knowledge on inference generation: A meta-analysis
Authors: Sterpin Lucas Federico , Ortiz Sofía Soledad , Formoso Jésica , Barreyro Juan Pablo 
Published: October 2021

Abstract
Successful text comprehension results in a coherent mental model of the situation being described. To achieve this, the reader has to infer certain information by connecting parts of the text to their prior knowledge. An important construct involved in this process is vocabulary knowledge, usually divided into breadth and depth. We conducted a meta-analysis on 23 studies, and explored the fit of five different models to establish an effect size of both dimensions of vocabulary on inference making, as well as its developmental trajectory in children aged 3-12. We found a significant and moderate effect of vocabulary knowledge of both modalities. Vocabulary type was not a significant moderator, but age was, meaning that there was a similar effect for both breadth and depth and that the strength of the correlations decreased with age. Heterogeneity was high overall, meaning that more moderators should be assessed in future studies.
The role of haematological parameters in predicting the response to radical chemoradiotherapy in patients with anal squamous cell cancer
Authors: Stojanovic-Rundic Suzana , Marinkovic Mladen , Cavic Milena , Karapandzic Vesna Plesinac , Gavrilovic Dusica , Jankovic Radmila , de Voer Richarda M. , Castellvi-Bel Sergi , Krivokapic Zoran 
Published: October 2021

Abstract

Background
Historically, the treatment of choice for anal cancer had been abdominoperineal resection (APR). Radical radiotherapy with concurrent 5-fluorouracil plus mitomycin C chemotherapy was later established as standard therapy, although with a failure rate of 20–30%. The aim of this study was to evaluate the outcomes after radical chemoradiotherapy (CRT), prognostic and predictive factors and patterns of failure.

Patients and methods
This study included 47 patients treated with radical CRT for patohistologicaly confirmed anal squamous cell carcinoma. Analysed haematological parameters included: neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and haemoglobin level. The final logistic regression model included treatment break period. Tumour response was assessed at 24 weeks from CRT completion. Follow-up was performed every 3 months during the first two years, and every 6 months thereafter.

Results
A complete clinical response (CR) was detected in 30 patients (63.8%). Patients who did not achieve a 6-months CR and those who had a CR after 6 months but then relapsed were referred to surgical treatment. With combined CRT and surgical salvage treatment the CR rate was 80.9%. Patients with CR after 6 months had significantly longer disease-free survival (DFS), progression-free survival (PFS), and overall survival (OS). A significant effect on the 6-month response was confirmed for PLR (p = 0.03).

Conclusions
Important prognostic factors associated with CR were baseline haemoglobin level and period of treatment interruptions. Potential haematological prognostic factors could be PLR and NLR, which can be routinely determined by low-cost and minimally invasive methods.
An Analysis of the Extraction Technologies: Fruit Peel Waste
Authors: Patel Nidhiben , Kalnbalkite Antra , Blumberga Dagnija 
Published: October 2021

Abstract
Advances in technology over the past few years have allowed us to evolve from waste to value. Food waste has been an increased recognition that more attention needs to be paid to this area. With this concern, research on fruit waste valorization into medicinal products has a rich background. This paper approaches the problem with a broader perspective by introducing the fruit waste valorization pathway. The key idea in this paper is to use the multi-criteria analysis method to choose the best essential oil extraction technique from fruit waste. The performance of four different extraction methods i.e., steam distillation, cold-pressing, solvent extraction, and hydro distillation compared in the approach, considering the environmental, economic, social, and technical criteria. The methodology was developed with two scenarios, by using the Analytic hierarchy process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods. Our research highlighted that cold-pressing extraction is the most effective technique for essential oil extraction in both scenarios.
Multi-Objective Optimization of Process Parameters for Powder Mixed Electrical Discharge Machining of Inconel X-750 Alloy Using Taguchi-Topsis Approach
Authors: Khadar Basha Shaik , Jagannadha Raju M. V. , Murahari Kolli 
Published: October 2021

Abstract
The paper investigates the influence of boron carbide powder (B4C) mixed in dielectric fluid on EDM of Inconel X-750 alloy. The process parameters selected as discharge current (Ip), pulse on time(Ton), pulse off time(Toff), boron carbide(B4C) powder concentration to examine their performance responses on Material Removal Rate (MRR), Surface Roughness(Ra) and Recast Layer Thickness (RLT).In this study, o examine the process parameters which influence the EDM process during machining of Inconel X-750 alloy using combined techniques of Taguchi and similarity to ideal solutions (TOPSIS).Analysis of variance (ANOVA) was conducted on multi-optimization technique of Taguchi-TOPSIS. ANOVA results identified the best process parameters and their percentages. It developed the mathematical equation on Taguchi-TOPSIS performance characteristics results. The multi optimization results indicated that Ip and Toff are more significant parameters; V, and Ton parameters are less significant. Finally, surface structures were studied at optimized EDM conditions by using scanning electron microscope (SEM).
Dynamic Properties Modeling Analysis of the Rubber-Metal Elements for Electric Drive
Authors: Ján Danko , Jozef Bucha , Tomáš Milesich , Ľuboš Magdolen , Iogr Kevický , Matej Minárik , Žarko Mišković , Radivoje Mitrović 
Published: October 2021

Abstract
The gradual increase in the volume of electric vehicles leads engineers to solve completely new problems of NVH (noise, vibration and harshness) One of the solutions is the use of rubber mounts to hold the electric motor of the vehicle’s powertrain. This article deals with a rubber mount used to insulate vibrations from the propulsion system to the rest of the vehicle. Since the electric motor produces a different spectrum of vibrations and noise than the internal combustion engine (it produces lower amplitudes, but in a wider frequency band), it is necessary to adapt the design of the rubber mounts. This article deals with the possibility of using a mathematical model that can be used in a virtual vehicle model. It compares the differences in the vibrations of the internal combustion engine and the electric motor. From the results measured on the experimental model, the parameters for the FEM model and the mathematical model were identified. At the end of the article, the results from the experiment are compared with the results from the simulations.
A Complex Review of the Possibilities of Residual Stress Analysis Using Moving 2D and 3D Digital Image Correlation System
Authors: Martin Hagara , Miroslav Pástor 
Published: October 2021

Abstract
Understanding the levels of residual stresses in the material is very important in predicting the service life of structural elements. One of the most widely used techniques to quantify them is the drilling method, where a small hole is milled in the structure. If the residual stresses are present, stress redistribution will occur, resulting in deformation of the hole surroundings. Nowadays, there is an effort to replace the conventionally used strain gauges, i.e. special strain gauge rosettes, with full-field optical experimental techniques. This paper deals with analysing the possibilities of measuring the relieved strains/stresses with a unique drilling/measuring device, which, unlike other non-commercial measuring systems, uses the moving digital image correlation (DIC) system. Since correlation systems do not tend to move during operation, an analysis was performed describing the effect of changing the position of the single and stereo camera correlation systems on the quality of the results of the strain/stress analysis performed in the vicinity of the milled hole. The conclusion from the analyses performed is that there is no significant accumulation of correlation errors during measurement. Therefore, the information on the magnitudes of the strains/stresses relieved obtained by the moving DIC system can be used to quantify the residual stresses with an expected error corresponding to the sensitivity of this full-field optical experimental technique.
Piezoelectric Beam Finite Element Model and Its Reduction and Control
Authors: Vladimír Kutiš , Juraj Paulech , Gálik Gálik , Justín Murín 
Published: October 2021

Abstract
The paper deals with the development of the finite element method (FEM) model of piezoelectric beam elements, where the piezoelectric layers are located on the outer surfaces of the beam core, which is made of functionally graded material. The created FEM model of piezoelectric beam structure is reduced using the modal truncation method, which is one of model order reduction (MOR) method. The results obtain from reduced state-space model are compared with results obtain from finite element model. MOR state-space model is also used in the design of the linear quadratic regulator (LQR). Created reduced state-space model with feedback with the LQR controller is analysed and compared with the results from FEM model.
Energy Analysis of HFC-152a, HFO-1234yf and HFC/HFO Mixtures as a Direct Substitute to HFC-134a in a Domestic Refrigerator
Authors: Hasheer Shaik Mohammad , Srinivas Kolla , Bala Prasad Katuru 
Published: October 2021

Abstract
The Kyoto protocol emphasized the need of replacement of HFC refrigerant due to their high GWP values that causes pollution in the environment. So in this paper the refrigerants R1234yf, R152a and HFOs/HFCs mixtures of R134a/R152a/R1234yf such as ARM42 (in the ratio of 8.5/14 /77.5 by mass), ARM42a (in the ratio of 7/11/82 by mass) with a view of replacement of the refrigerant HFC-134a in a domestic refrigerator were analyzed theoretically. Volumetric cooling capacity, compressor discharge temperature, coefficient of performance, compressor energy consumption and refrigeration capacity are the main parameters to estimate the performance of the refrigerator. The results are revealed that HFC-152a had gave a superior performance as compared to HFC-134a in terms of COP and equal cooling and volumetric cooling capacities. However, the refrigerant HFC-152a was flammable and runs with high compressor outlet temperature which may restrict its usage. The HFO refrigerant R1234yf showed an almost equal volumetric cooling capacity, compressor energy consumption, refrigerating effect and COP when compared with HFC-134a. Among the refrigerants ARM42 and ARM42a, the refrigerant ARM42a was selected as a good alternative for HFC-134a because the Volumetric cooling capacity and COP of ARM42a were almost equal to HFC-134a. Therefore ARM42a had better choice of direct substitute to HFC-134a in a domestic refrigerator when the corresponding safety requirements are adopted. So on overall comparison of every property of refrigerants we can conclude that R1234yf can be treated as best alternative to HFC-134a in a domestic refrigerator.
Vibration Analysis of the Drivetrain in Dependence on the Type of Gearbox Suspension Bushing
Authors: Jiri Struz , Lukas Hruzik , Jiri Havlik 
Published: October 2021

Abstract
In the vast majority of technical applications, there is a necessity to transmit the torque from drive to driven machine together with the demand to overcome great distance between given devices. One of the solutions of this problem is the use of a cardan shaft. Operations of connecting shaft and drivetrain are accompanied by oscillations negatively influencing the driver comfort. Main subject of this article is the measurement of vibrations on different parts of a heavy truck and its evaluation by FFT analysis. Measurements are performed with two kinds of suspension bushing which are compared with to each other. Based on the previous measuring, influence of cardan shaft length was also investigated. First of all, dependency on the length of the cardan shaft on deflection angles for V arrangement was evaluated by analytical method. The theoretical introduction is followed by research of eigen frequency depending on the length of the cardan shaft. The results obtained by modal analysis in FEM are verified by experimental modal analysis [1].
Pefformance and Emission Evaluation of Direct Inejction Diesel Engine Using Canola, Sesame Biodiesels with N-Butanol
Authors: Hari Prasad K. , Ananda Srinivasan C. , Praveen Kumar K. 
Published: October 2021

Abstract
Biodiesels from vegetable oils are also gaining momentum as a encouraging fuels which acts as alternative for agricultural diesel engines. Even though there is a slight penalty in the performance parameters by the usage of vegetable biodiesel fuels in diesel engines because of their high viscosity, there is considerable reduction in emissions which is dominant factor from the environmental perspective. In the present experimental work four fuels Canola (20% Canola oil plus 80% Diesel) biodiesel (B20C),Sesame (20% Sesame oil plus 80% Diesel) biodiesel (B20S), B20C blended with 5% n-butanol(B20C5B) and B20S is blended with 5% nbutanol(B20S5B) have tried as an alternative fuels to the Diesel. In the primitive stage tests were supervised on diesel engine with diesel. Thereafter in the second stage, tests were directed at identical operating conditions by using B20C, B20S and their blends as biodiesels. The engine important performance parameters brake thermal efficiency (BTE) and brake specific fuel consumption (BSFC) and also the emission characteristics hydrocarbons (HC), carbon monoxide (CO), smoke opacity and nitrogen oxides (NOx) are evaluated. The results are contrasted with respect on base line data (diesel). From the experimental readings it was observed that the BTE of B20C, B20S, B20C5B and B20S5B at 100% load decreased by 2.64%,1.9 %,1.41% and 0.94% respectively, relative to diesel (D). At maximum loading condition BSFC for diesel,B20C,B20S,B20C5B and B20S5B are 0.254, 0.284,0.273,0.270 and 0.260kg/kWh. Overall, it is concluded that the emission characteristics of HC, CO and Smoke opacity are dropped for all tested biodiesels when compared to diesel fuel.
Strength of industrial sandstones modelled with the Discrete Element Method
Authors: Klejment Piotr , Dziedziczak Robert , Łukaszewski Paweł 
Published: October 2021

Abstract
Sandstone is one of the most popular building materials since the earliest times. It has various textures and colours as well as good technical parameters. Sandstones, having such wide applications, are subjected to various external factors during the period of use. So, it is of utmost importance to have a good knowledge of their strength parameters. We employed a numerical method called Discrete Element Method to examine in a non-invasive manner the mechanical strength of industrial sandstones, that are commonly used as broken stones in road construction, cladding material, paving stones, pavement tiles and so on. Various mechanical external factors were considered, such as breaking, compressional and abrasion forces or impact by external objects and vibrations. Fragmentation of the considered sandstones under compressional regime was a source of knowledge about energy storage inside the material and energy release, as well as appearance of fractures inside the matter and final sandstone fragmentation into crumbs.
Profitabilitas sebagai Pemoderasi Pengaruh Struktur Aktiva, Risiko Bisnis, dan Ukuran Perusahaan pada Struktur Modal
Authors: Wulandari Ni Made Arika , Sari Maria Mediatrix Ratna 
Published: October 2021

The capital structure is very important for the company, this is because it involves the policy of determining the source of funding used, both from inside and outside the company. This study aims to determine the effect of asset structure, business risk, and firm size on capital structure with profitability as a moderating variable. The research was conducted on manufacturing sector entities that are listed on the Indonesia Stock Exchange (IDX) for the 2016-2019 period. The population is 141 entities. Based on the purposive sampling method, the research sample used was 70 manufacturing entities. The data analysis technique in this study is moderated regression analysis. The results showed that the asset structure has a negative effect on the capital structure. Business risk has no influence on the capital structure. Firm size has a positive influence on capital structure. Profitability is able to moderate the effect of asset structure and firm size on capital structure. Profitability does not moderate the effect of business risk on capital structure.
Keywords: Capital Structure; Assets Structure; Business Risk; Firm Size; Profitability.