Miracle-dz/UniFAR-FTUs huggingface dataset:
Study on variation in ship's forward speed under regular waves depending on rudder controller

ABSTRACT The purpose of this research is to compare and analyze the advanced speed of ships with different rudder controller in wavy condition by using a simulation. The commercial simulation tool named AQWA is used to develop the simulation of ship which has 3 degree of freedom. The nonlinear hydrodynamic force acting on hull, the propeller thrust and the rudder force are calculated by the additional subroutine which interlock with the commercial simulation tool, and the regular wave is used as the source of the external force for the simulation. Rudder rotational velocity and autopilot coefficients vary to make the different rudder controller. An advanced speed of ships depending on the rudder controller is analyzed after the autopilot simulations.
L'analisi dell'efficienza tecnica nel settore della sanità. Un'applicazione al caso della Lombardia

L’analisi dell’efficienza tecnica nel settore della sanita. Un’applicazione al caso della Lombardia (di Gian Paolo Barbetta e Gilberto Turati) - ABSTRACT: The paper measures the technical efficiency in the health care industry. Our aim is twofold: on one side we have a methodological goal, while on the other we want to apply different methodologies developed to measure technical efficiency to a set of empirical data; moreover, we want to explain different efficiency levels of hospitals located in Lombardia. After proposing a brief review of the most important measures (Debreu-Farrell, Shepard’s distance function) and methodologies (dea, stochastic frontiers) in the measurement of technical efficiency, we survey the recent empirical literature on efficiency assessment in the health care sector. We then apply efficiency estimation techniques to a cross-section of public and private hospitals in Lombardia. Our results show that dea efficiency scores are not robust to different model specifications; moreover, efficiency measures obtained with dea and with the alternative stochastic frontier approach show high levels of correlation only when input and output are defined in the same way. Second stage results are more controversial. There seems to be a direct relationship between technical efficiency and firms’ dimensions. Moreover, we found no evidence to support the hypothesis of structural differences in efficiency between nonprofit private hospitals and public hospitals.
Inverse Covariance Matrix Estimation for Low-Complexity Closed-Loop DPD Systems: Methods and Performance

In this article, we study closed-loop digital predistortion (DPD) systems and associated learning algorithms. Specifically, we propose various low-complexity approaches to estimate and manipulate the inverse of the input data covariance matrix (CM) and combine them with the so-called self-orthogonalized (SO) learning rule. The inherent simplicity of the SO algorithm, combined with the proposed solutions, allows for remarkably reduced complexity in the DPD system while maintaining similar linearization performance compared to other state-of-the-art methods. This is demonstrated with thorough over-the-air (OTA) mmW measurement results at 28 GHz, incorporating a state-of-the-art 64-element active antenna array, and very wide channel bandwidths up to 800 MHz. In addition, complexity analyses are carried out, which together with the measured linearization performance demonstrates favorable performance–complexity tradeoffs in linearizing mmW active array transmitters through the proposed solutions. The techniques can find application in systems where the power amplifier (PA) nonlinearities are time-varying and thus frequent or even constant updating of the DPD is required, good examples being mmW adaptive antenna arrays as well as terminal transmitters in 5G and beyond networks.
Why do we need another book about unbounded dependencies? A review article on Chaves & Putnam’s Unbounded Dependency Constructions

Unbounded dependencies (UDs), in wh-interrogatives, relative clauses and other constructions, have been a major focus of syntactic research for more than half a century. The most widely assumed approach analyzes them in terms of movement and views island phenomena as largely a matter of syntax. Both these positions are problematic. Moreover, they stem from assumptions that have been at the heart of syntactic theorizing for many decades. Chaves and Putnam present evidence that both the dominant approach to UDs and the general approach to syntax from which it derives are flawed. They argue for a non-movement approach to UDs and a largely non-syntactic approach to island phenomena, and for an approach to syntax which has the relation between linguistic knowledge and language use and the complexity of acceptability judgements as central concerns. Their book is an important one that could have a major impact both on research on UDs and on syntactic research more generally.
Deep Learning Analyses to Delineate the Molecular Remodeling Process after Myocardial Infarction

Specific proteins and processes have been identified in post-myocardial infarction (MI) pathological remodeling, but a comprehensive understanding of the complete molecular evolution is lacking. We generated microarray data from swine heart biopsies at baseline and 6, 30, and 45 days after infarction to feed machine-learning algorithms. We cross-validated the results using available clinical and experimental information. MI progression was accompanied by the regulation of adipogenesis, fatty acid metabolism, and epithelial–mesenchymal transition. The infarct core region was enriched in processes related to muscle contraction and membrane depolarization. Angiogenesis was among the first morphogenic responses detected as being sustained over time, but other processes suggesting post-ischemic recapitulation of embryogenic processes were also observed. Finally, protein-triggering analysis established the key genes mediating each process at each time point, as well as the complete adverse remodeling response. We modeled the behaviors of these genes, generating a description of the integrative mechanism of action for MI progression. This mechanistic analysis overlapped at different time points; the common pathways between the source proteins and cardiac remodeling involved IGF1R, RAF1, KPCA, JUN, and PTN11 as modulators. Thus, our data delineate a structured and comprehensive picture of the molecular remodeling process, identify new potential biomarkers or therapeutic targets, and establish therapeutic windows during disease progression.
A railway vehicle multibody model for real-time applications

Hardware in the loop (HIL) techniques are widely used for fast prototyping of control systems, electronic and mechatronic devices. In the railway field, several mechatronic on board subsystems are often tested and calibrated following the HIL approach. The accuracy of HIL tests depends on how the simulated virtual environment approximates the physical conditions. As the computational power available on real-time hardware grows, the demand for more complex and realistic models of railway vehicles for real-time application increases. In past research activities, the authors worked on the implementation of simplified real-time models for several applications and in particular for an HIL test rig devoted to the type approval of wheel slide protection systems. The activity has then been focused on the development of a three-dimensional model of the dynamics of a railway vehicle for more complex applications. The paper summarises the features and the results of the study.
A Review of the Literature On Quality‐Related Costs

A review of the literature of quality‐related costs indicates the domination of the prevention‐appraisal‐failure categorisation of costs, a similar pre‐occupation with in‐house costs and little consideration of supplier and customer‐related costs. Most of the data are of questionable value because not suitably qualified by detailing inclusions and methods of computation, and there is scant coverage of measurement and cost collection, or warnings of limitations in costing exercises. Failure to discuss definitions, and lack of guidance on cost collection and treatment of overheads and valuation of scrap are all notable omissions in the literature so far.
A novel printed microstrip antenna with frequency reconfigurable characteristics for bluetooth/WLAN/WIMAX applications

A novel printed microstrip reconfigurable antenna with three switchable frequencies is proposed. The proposed microstrip‐fed antenna was fabricated on FR4 substrate and mainly consists of four semicircular rings, one circular ring, one cross strip, and one defected ground plane. The uniqueness of this design is that various groups of operating frequencies can be selected electronically by controlling two PIN diode switches purposefully. Several kinds of reconfigurable resonant frequencies covering the bands of 2.30–2.53 GHz, 3.19–3.81 GHz, and 4.68–6.03 GHz, which can be applied in the systems of Bluetooth (2.4–2.484 GHz), WiMAX (3.3–3.6 GHz), and WLAN (2.4–2.484 GHz, 5.15–5.35 GHz, and 5.725–5.875 GHz), are achieved. Meanwhile, the presented antenna has nearly omnidirectional radiation patterns and relatively high gains. By comparing the simulated and measured results, a good agreement is obtained. © 2013 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:1341–1345, 2013; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.27556
Quantum dots: concept and application for image sensors

The aim of this Bachelor’s Thesis is to introduce the concept of quantum dots and their possible application to photodetection. In the first part of this work (Chapter 2), a general outline of what quantum dots are and how they are manufactured (materials, techniques employed) will be provided. Besides, a complete description of the band structure of quantum dots, with an emphasis on their optoelectronic features, will be given too. In the second part of the thesis (Chapter 3), photodetection technologies are covered. After an introduction to the state of art of image sensors, the latest advances in quantum dot photodetection will be presented, considering their figures of merit and possible adaptation to current available production methods.
Contextual and mediation analysis between TQM critical factors and organisational results in the EFQM Excellence Model framework

Following a total quality management (TQM) approach and the EFQM Model framework, this contribution aims to study the influence of TQM social factors on organisational results, by considering the TQM technical factors as a mediating variable in this relationship. Moreover, the effect of size and type of business on the implementation of TQM and results is analysed, as well as determining which TQM practices have a more important effect on the operational results. The research questions and hypotheses proposed in this research model are tested on a sample of 116 Spanish firms. The results support the reliability, validity and the high-predictive power of the EFQM Excellence Model as a framework for the implementation of TQM. Moreover, our findings indicate that TQM social factors provide a cornerstone for the success of the quality system. Similarly, TQM technical factors partially mediate the relationship between TQM social factors and results. It was also found that TQM social factors and processes management are the main predictors of operational performance. Finally, significant differences were found in TQM implementation, and in the key results of companies, based on their size; however, these differences are not significant based on the sector activity.
Evaluating the Technology-Enhanced Flipped Classroom Through the Students’ Eye: A Case Study

Emergency remote teaching (ERT) during the unprecedented global pandemic, COVID-19, identified the pressing need for innovative teaching methods that support and foster technology-enhanced active learning through the distance education paradigm. Distance education is not a new phenomenon, while the flipped classroom concept is also a well-researched method. However, there have been rather few studies about the flipped classroom (FC) approach in higher education with the support of technology. This study contributes by critically exploring how full-time distance students perceived the usefulness of the Technology-enhanced Flipped Classroom (TEFC) approach to support their graduate studies. A series of semi-structured interviews (n=7) collected the empirical data for this qualitative method of inquiry. Moreover, teaching materials were used for the data collection, while the interviews were preceded by a preliminary observational study in a TEFC in a STEM graduate-level course. Through thematic analysis, three major themes were identified that offered a broader insight into the students' perspectives concerning the benefits and challenges of the TEFC concept. The themes were sentimental involvement, technical FC design, and peer-communication. The primary finding revealed that the students perceived the discussion-based sessions in the TEFC to have enabled them to foster their knowledge transfer. It was also perceived as particularly positive in its ability to contribute to and influence the discussion flow. These validated earlier claims concerning a positive perception of the TEFC concept in the formal learning process. This research discovered that TEFC is a viable tool to support learning in a pandemic situation by empowering students and facilitating active learning through information and communication technologies (ICT).
Germany's current COVID-19 crisis is mainly driven by the unvaccinated

Vaccines are the most powerful pharmaceutical tool to combat the COVID-19 pandemic. While the majority (about 65%) of the German population were fully vaccinated, incidence started growing exponentially in October 2021 with about 41% of recorded new cases aged twelve or above being symptomatic breakthrough infections, presumably also contributing to the dynamics. At the time, it (i) remains elusive how significant this contribution is and (ii) whether targeted non-pharmaceutical interventions (NPIs) may stop the amplification of the ongoing crisis. Here, we estimate that about 67%-76% of all new infections are caused by unvaccinated individuals, implying that only 24%-33% are caused by the vaccinated. Furthermore, we estimate 38%-51% of new infections to be caused by unvaccinated individuals infecting other unvaccinated individuals. In total, unvaccinated individuals are expected to be involved in 8-9 of 10 new infections. We further show that decreasing the transmissibility of the unvaccinated by, e.g. targeted NPIs, causes a steeper decrease in the effective reproduction number R than decreasing the transmissibility of vaccinated individuals, potentially leading to temporary epidemic control. Furthermore, reducing contacts between vaccinated and unvaccinated individuals serves to decrease R in a similar manner as increasing vaccine uptake. Taken together, our results contribute to the public discourse regarding policy changes in pandemic response and highlight the importance of combined measures, such as vaccination campaigns and contact reduction, to achieve epidemic control and preventing an overload of public health
Comparative Study of Biogas and DME Fed Micro-CHP System with Solid Oxide Fuel Cell

This paper presents results of a comparative study of a micro-combined heat and power (CHP) unit with solid oxide fuel cell (SOFC) fed by two different fuels. For current analysis biogas and dimethyl ether (DME) were selected. Detailed model of the micro-CHP system with net power output of 3 kWel was created, based on an advanced model of the SOFC. In both power units, steam reforming was employed in order to generate hydrogen-rich gas. Reforming temperatures of 900°C and 350°C were selected for biogas and DME, respectively. Both systems were based on the same reference solid oxide fuel cells. Similar plant outlines was employed, with small changes to accommodate different reformer operating temperatures.
SURGERY FIRST-ORTHOGNATHIC APPROACH-REVIEW ARTICLE

The correction of skeletal discrepancies requires Orthognathic surgery along with Orthodontic treatment . Surgery firstorthognathic approach (SFOA) was proposed by Nagasaka et al, a new concept in the combination of orthodonticorthognathic treatment for jaw deformities . Before performing Orthodontic treatment early correction of soft tissue and skeletal problems may be easier for the tooth movement. Nowadays, most of the orthodontic centers in the world prefer surgery first followed by orthodontic treatment. The regional acceleratory phenomenon (RAP) is a tissue reaction to a noxious stimulus that increases the healing capacities of the affected tissues. RAP is a key factor that shows a notable reduction in treatment duration during SFOA.
Analysis on the US Food and Semiconductors Industry Tests of Fama-French Models

Asset pricing models are usually used to determine a theoretically rate of return of a particular asset, in order to make decisions about the investments in diversified portfolio. This study focuses on testing the Fama French 3-factor (FF3) and 5-factor (FF5) models in the US food product industry and semiconductor industry by applying multiple linear regression analysis on daily excess return of the industry stock portfolios from July 2005 to June 2020. Each models’ goodness of fit in these industries are demonstrated by the results. By comparing the coefficients of each factor in the FF models, this paper has focused on five essential factors with respect to industrial sensitivity: market, size, book-to-market ratio, profitability and investment style. In general, the food product industry appears to be more inclined to the large size and robust profitability of companies, whereas the chips industry is more dependent on good economy condition and aggressive investment style. Also, the profitability factor in chips industry is worth noticing since it is a redundant factor, suggesting the return of this industry portfolio is unrelated to firms’ profitability. Accordingly, the investment advice is proposed based on the analysis: large-size food products firms with strong profitability and conservative investment style are more preferrable, whereas semiconductors companies with low book-to-market ratio and relatively aggressive investment style are recommended to the investors.
15.3: Anti‐Electromigration of Lead‐Free Ag/Frit Modified Address Electrodes in PDPs

We have studied on the usage reduction and anti‐migration properties of newly formulated lead‐Free (Bi‐based) Ag/Frit modified address electrode (hereinafter VE electrode) systems in PDPs (Plasma Display Panels). It is thought that their high performance such as anti‐migration and the cost‐competitiveness without any loss of performance in paste, process and luminous efficacy are originated from the optimum controlling of Ag/Frit weight ratio and low specific gravity by low Ag contents, respectively. Currently, lead‐free VE electrodes are being applied as main electrode materials of PDP panels fabricated by SDI photo‐imageable patterning process including ultra‐fine resolution models.
Patient Safety in Selected Healthcare Facilities in Caraga Region: An Aiken Model Approach

This study aimed to determine the nursing organizational factors and patient safety in selected healthcare facilities in the Philippines. It utilized quantitative approach of research specifically descriptive correlational research design. The inclusion criteria of the entire population were composed mainly of 455 nurses employed among the five selected healthcare facilities in Caraga Region, Philippines within a period of 1 year and above offering inpatient and outpatient healthcare services. Results revealed that there was a positive response on organizational factors such as nurse participation in hospital affairs, nursing foundations for quality care, nurse manager leadership, ability and support and collegial nurse-physician relationships. Patient Safety with regards to wok area/unit, supervisor/manager, communications, and frequency of events reported, patient safety grade, hospital and number of events reported were positively performed and practiced. The patient safety practices were directly affected by the organizational factors being tested.
Demystiﬁcation of Electrooculogram Signals: An Introductory Approach to Activity Recognition

: Eyes are the windows to brain and the eye movements are rich source of information in information processing. The aim of this paper is to present an investigation of eye movements using EOG applications in Human Computer Interfaces (HCI) and classification of EOG signals using Support Vector Machine (SVM). The objective is not to give a detailed explanation about the theoretical background but to impart the fundamental functionality to get an extensive understanding how EOG signals can be applied in HCI and what can be inferred from those signals using Support Vector Machine. This paper is organized as; the first section identifies the importance of eye movements and presents various eye movement detection methods. The second section illustrates the applications of EOG as Human Computer Interface and demonstrates ElectroOculoGram (EOG) signals in data mining aspect. Final section focuses on activity recognition by EOG signal classification using SVM.
THE IMPACT OF VARIOUS FINANCING SCHEME IN REDUCING ECONOMIC’S INEQUALITY

The existence of Islamic bank not always provide positive impact to the real sector of economy. Declining inequality is one of the expected significant impacts with applying Financing Scheme as instrument to realize that. This study aims to investigate the impact of Financing Scheme was applied by Islamic bank to reduce inequality among countries of IsDB Group. World bank data and IDB data of Islamic banks are employed as samples from 1977 to 2018. The results show that equity and leasing have a positive effect and significant to reduce inequality for low-income countries, where the leasing or ijarah have the most effective impact than all. In addition, instalment sale of financing has a significant impact to reduce inequality for middle-income countries, loan is being the only significant Financing Scheme to reduce inequality in all IDB countries. Unfortunately, Mudharaba, PLS (profit and loss sharing), Murabahan and Istishna have not significantly impact to reduce inequality.
A Fuzzy Multi-objective Model for Order Allocation to Suppliers under Shortfall and Quantity Discounts

For new strategies of purchase and production process, suppliers play a key role in achieving competitive capabilities for large-sized companies. The selection of suitable suppliers is a critical component of this strategy. The problem of allocating order to suppliers is a multi-objective one that includes fuzzy parameters; in addition, suppliers usually consider discount in the case of different levels of purchase amount. Since there is no multi-objective fuzzy model for order allocation in the literature to consider discount and shortfall simultaneously in the planning horizon of multiple products, this research proposes a new model that includes minimization of costs, delays, and the percentage of defective parts as objective functions. Price, demand, delay, and percentage of defective parts are considered fuzzy parameters. Since the model is NP-hard, the two metaheuristic algorithms, NSGAII and MOPSO, have been used for solving the problem with tuned parameters using Taguchi method. According to the results of numerical problems, the proposed algorithms can provide a good approximation of the optimal solutions.