Miracle-dz/UniFAR-FTUs huggingface dataset:
An Improvement of Positioning Accuracy for CNC Machine Tools

We have investigated the variation of dwell and warm-up time for effects of positioning accuracy of the CNC machine tools with an laser measuring system. Also, we strdied the effect of improvement of the positioning accuracy by variation of the temperature for hollow ball screw, which mostly used as drive mechanism of CNC machine tools. We dbtained the effectiveness of cooling effect of the new cooling system, compared with the conventional cooling system.
Continuous Positive Airway Pressure or High Flow Nasal Cannula for Respiratory Distress Syndrome: a Randomized Control Trail among Premature Infants

Background Respiratory distress syndrome (RDS) is a life-threatening pulmonary disorder which mainly related to the premature infants. This study was conducted to evaluate Continuous Positive Airway Pressure (CPAP) and High Flow Nasal Cannula (HFNC) intervention effectiveness among premature infants with RDS. Methods Overall, 60 preterm infants with RDS at Valiasr Hospital, Tehran, during 2018 in this randomized control trail participated as CPAP and HFNC groups’ treatment. CPAP group received the nose with a peep of 4-6 centimeters from birth and continued to improve respiratory distress and the need for oxygen (O2). HFNC group received hot and humid flowing 2 to 5 liters/min in nose cannula, until respiratory distress and O2 needing to be resolved. Short clinical outcomes were compared between two groups. Data were analyzed by SPSS version 16 using t-test and logistic regression statistical tests at 95% significant level. Results There were no significant differences in Pneumothorax, PDA, chronic lung disease, surfactant injection, tracheal intubation, death, NEC, number of full feeding days, duration of hospitalization, and number of oxygen therapy days between the both CPAP and HFNC groups. Conclusions CPAP and HFNC techniques have the same efficacy in confronting RDS in neonates and there is no difference between the two techniques in terms of in-hospital clinical outcomes. However, considering the same efficacy of two methods and less invasive of HFNC compared with CPAP, we concluded this method can be recommended for the improvement of respiratory distress in newborns. Trial Registration Iranian Registry of Clinical Trials identifier IRCT20190623043988N1 Registered 2019-07-05.
FIELD VALIDATION OF THE CROSS-ANISOTROPIC BEHAVIOR OF UNBOUND AGGREGATE BASES

The International Center for Aggregates Research (ICAR) Research Report 502 has focused on determining structural considerations of unbound aggregate pavement layers for a proper representation in the new AASHTO Pavement Design Guide 2002. The research team developed models for the resilient and permanent deformation behavior from the results of triaxial tests conducted at the Texas Transportation Institute (TTI) and at the University of Illinois. The studies have mainly indicated that the unbound aggregate base (UAB) material should be modeled as nonlinear and cross-anisotropic to account for stress sensitivity and the significant differences between vertical and horizontal moduli and Poisson's ratios. UABs were constructed at the TTI Riverside research facility and tested for response and performance using the one-third scale model of the Texas Mobile Loading Simulator. The resilient responses of the test sections were modeled. The nonlinear cross-anisotropic material models used in the base layer predicted vertical deflections that are close to field deflections in the analyzed TTI pavements. Field validation data were also collected from a full-scale pavement test study conducted at Georgia Tech. The test sections had extensive instrumentation and the pavement response variables, such as stresses, strains, and deformations, were measured in all pavement layers including the UABs. The validation of the anisotropic modeling approach was accomplished by analyzing these test sections using GT-PAVE finite element program, predicting UAB responses, and comparing them to the measured ones. Laboratory testing of the aggregate samples was conducted at the University of Illinois and the characterization models were developed for the stress sensitive, cross-anisotropic aggregate behavior. With nonlinear anisotropic modeling of the UAB, the resilient behavior of pavement test sections was successfully predicted at the same time for a number of response variables. In addition, the stress sensitive, cross-anisotropic representation of the base was shown to greatly reduce the horizontal tension computed in the granular base when compared to a linear isotropic representation.
Braking performance determination

This article outlines efforts to determine a standard braking performance for European trains, for use in the standard European train control system ERTMS/ETCS. Brake tables were developed separately by each railway defining braked weight percentage as a function of the braking distance when operating a train at a given speed. However, this parameter does not provide any information on deceleration characteristics, which are needed for an automatic speed supervision system like ERTMS/ETCS. Three mathematical models were developed to translate braked weight percentage into an instantaneous deceleration function. Results of actual brake tests were collected and used to validate the three models, from which one was chosen as the most accurate. Further testing is still necessary to determine the suitability of the model in everyday service: however, the model is seen as a significant step towards interoperability on ETCS lines. (A)
'Now or later?' Understanding adolescents' time-frame for their intentions to obtain a driving license and own a car

This study focuses on adolescentsr intended time-frame for obtaining a driving license and purchasing a car and proposes a behavioural framework based on the socio-ecological model, comprising intrapersonal, interpersonal, institutional, community and policy domains. Qualitative interviews from a survey among 50 Danish adolescents were analyzed by means of thematic narrative analysis. Three groups were identified: car enthusiasts, who would like to be early car users, car pragmatists, who would like to have the license at an early stage and a car at a later stage, and car sceptics, who intend to be late license holders and car users. Adolescentsr vision of their future life script is highly influencing their future transport intention. Among the three groups, the car pragmatists have the highest potential to be affected by policy measures for delaying the driving license and owning a car. Efforts could be directed to promote a less car-oriented future and lay an emphasis on creating a tangible future vision with respect to sustainable transport through planning processes, public involvement and marketing campaigns.
Biomass Gasification, Pyrolysis and Torrefaction: Practical Design and Theory

Biomass is the most widely used non-fossil fuel in the world. Biomass resources show a considerable potential in the long term given the increasing proliferation of dedicated energy crops for biofuels. With a dedicated focus on the design, analysis, and operational aspects of biomass gasification, pyrolysis, and torrefaction, Dr. Basu's book offers holistic, comprehensive coverage of biomass in its gas, liquid, and solid states in a single easy-to-access source. This versatile resource not only explains the basic principles of energy conversion systems, but also provides valuable insight into the design of biomass gasifiers. The author provides many worked design problems, step-by-step design procedures and real data on commercially operating systems. Contains new and updated step-by-step process flow diagrams, design data and conversion charts, and numerical examples with solutions Includes chapters dedicated to evolving torrefaction technologies, practicing option of biomass cofiring, and biomass conversion economics Expanded coverage of syngas and other Fischer-Tropsch alternatives Spotlights advanced processes such as supercritical water gasification and torrefaction of biomass. Provides available research results in an easy-to-use design methodology
Pre-Crash Scenario Typology for Crash Avoidance Research

This report defines a new pre-crash scenario typology for crash avoidance research based on the 2004 General Estimates System (GES) crash database, which consists of pre-crash scenarios depicting vehicle movements and dynamics as well as the critical event immediately prior to a crash. This typology establishes a common vehicle safety research foundation for public and private organizations, which will allow researchers to determine which traffic safety issues should be of first priority to investigate and to develop concomitant crash avoidance systems. Its main objectives are to identify all common pre-crash scenarios of all police-reported crashes involving at least one light vehicle (i.e., passenger car, sports utility vehicle, van, minivan, and light pickup truck); quantify their severity in terms of frequency of occurrence, economic cost, and functional years lost; portray each scenario by crash contributing factors and circumstances in terms of the driving environment, driver, and vehicle; and provide nationally representative crash statistics that can be annually updated using national crash databases such as GES. This new typology includes 37 pre-crash scenarios accounting for approximately 5,942,000 police-reported light-vehicle crashes, an estimated economic cost of 120 billion dollars, and 2,767,000 functional years lost. These statistics do not incorporate data from non-police-reported crashes.
Diversity in Lucerne (Medicago sativa L.) germplasm for morphology, yield and molecular markers and their correlations

Lucerne is an important legume forage grown worldwide due to its high nutritive value, yield potential, quality and survival under highly contrasting environments. Estimation of genetic diversity in germplasm is an important criterion in breeding programme and is done based on phenotypic characters, biochemical and molecular markers. Thirty one accessions of Lucerne collected from Maharashtra and Gujarat were evaluated for morphological, yield characters, molecular markers and were compared with national check RL-88. The diversity analysis of morphological and yield characters indicated wide range of variation within the accessions. The accession RLG 08-1 recorded significant differences for plant height, number of tillers per plant, internodal length, green fodder, dry matter and crude protein yield (P 0.05) over RL-88. Green fodder yield was significantly correlated with plant height (0.72**), no. of tillers per plant (0.71**) and internodal length (0.71**). Dry matter yield was found significantly correlated with plant height, no. of tillers per plant, internodal length and crude protein yield (0.70**, 0.69**, 0.70** and 0.99**). Leaf stem ratio was not linearly correlated with green fodder, dry matter and crude protein yield. Principal component analysis (PCA) demonstrated that the first two PCs contributed to 93.7% of total variance among the accessions. The accession RLG 08-1 was found superior among all the accessions. Thirteen Inter Simple Sequence Repeats (ISSRs) markers showed 82.8% polymorphism. The dendrogram revealed slight geographical structuring and RLG 08-1 was found genetically distinct from other accessions.Mantel correlation was not observed between morphological and yield characters as well as molecular markers.
Images of Projects

Contents: Detailed Contents Foreword Overview Part 1 Introduction to Images of Projects Why not 'just do it'? The image-action connection Images of projects - a pragmatic framework for practitioners. Part 2 Seven Core Images of Projects: Image 1 - projects as social processes Image 2 - projects as political processes Image 3 - projects as intervention processes Image 4 - projects as value creation processes Image 5 - projects as development processes Image 6 - projects as temporary organizations Image 7 - projects as change processes. Part 3 Applying the Images in Practice: Selective use of the images Structured use of the images Shared use of the images Case example 1 - initiating a major retail project (Tesco Stores Ltd) Case example 2 - managing a major research project (Rethinking PM) Appendices Index.
Small Noise in Signaling Selects Pooling on Minimum Signal

In this paper we study how the presence of a small amount of noise in signaling games impacts on the likelihood of separation and, hence, the likelihood of information transmission. We consider a variant of a standard signaling model where a source of exogenous noise affects the signals that agents observe. Noise, even if tiny, poses tight constraints on beliefs by making all signals possible along the equilibrium path. We show that separation cannot be obtained in equilibrium if the noise is small enough - but not nil. In particular, for any separating profile, if noise is suciently small then the sender has a profitable deviation consisting of a signal reduction. Instead, the pooling equilibrium where all sender's types pool on the minimum signal always exists, independently of the level of noise. These results provide a new source of interest in pooling equilibria.
General descent method using w-distance. Application to emergence of habits following worthwhile moves

In this paper, we extend the general descent method proposed by Attouch, Bolte and Svaiter [Math. Pro-gram. 137 (2013), 91-129] to deal with possible asymmetric like-distances. Using a w-distance as regularization term, our results guarantee the convergence of bounded sequences under the assumption that the objective function satisﬁes the Kurdyka-Łojasiewicz inequality. In particular, it improves some existing works on proximal point methods with quasi-distance as regularization term because we prove convergence of bounded sequences without any additional assumption on the w-distance unlike it have been done with quasi-distances. The last section gives an application relative to the emergence of habits after a succession of worthwhile moves which balance motivation and resistance to move.
Remote Control? Europäisches Migrationsmanagement in Mauretanien und Mali

European Migration management has been extended from the control of the own territory to countries of origin and transit, thus creating new spaces of border surveillance and the disciplining of migrants and migration in Africa. This also remode- led the relations between Europe and the sending or transit states concerned, and left traces in the social, political and economic life of these countries, as well as the ways people conceive and organize mobility. Bargaining over bordering practices increasingly condi- tions development assistance, soft tools like visa facilitation and circular migration schemes are used both as incentives and to keep targeted groups in their place. Though with the Global Approach on Migration Europe brought forward a comprehensive framework, the practical outcomes in terms of agreements, inter-state cooperation and consequences on the societal level show remarkable dierences. Die EU-europaische Politik des ‚Migrationsmanagements', wie auf globaler Buhne mittlerweile der neue Politikansatz zur Migrationskontrolle bezeichnet wird, ist seit gut 15 Jahren auf Herkunfts- und Transitlander der Migrati- onsbewegungen ausgeweitet worden, und hat damit neue Raume der Grenz- uberwachung und der Disziplinierung der Migration in Afrika geschaen. Der ‚Management'-Begri steht dabei fur eine Migrationspolitik, die uber die blose Abwehr von unerwunschten MigrantInnen weit hinaus geht. Migrationsmana- gement zielt auf die umfassende zwischenstaatliche Steuerung von Migration mit Hilfe zahlreicher internationaler Akteure und Vertrage. Seit den 1990er Jahren sind sowohl bilateral als auch durch die Europaische Union zahlreiche Ruckubernahmeabkommen geschlossen worden. Diese Abkommen haben als Voraussetzung fur die Abschiebung von MigrantInnen einen hohen Stellenwert.
FeedNetBack - D05.04 - Design methodologies for event-based control systems

This is a Deliverable Report for the FeedNetBack project (www.feednetback.eu). Networked Control Systems (NCS) are systems in which the sensors or/and the actuators communicate with the controller through a network. Energy saving and robustness to unreliable channels are major challenges in networked control, notably in wireless scenarios. Energy efficiency and in particular asynchronous design methodologies are studied in this deliverable. The presence of a channel between the sensors measuring the plant and the controller generating the control inputs implies that the measurements should be quantized. As a preliminary step, the problem of finding a stabilizing policy with quantized measurements and bounded control inputs is considered. It is common to assume that the different nodes of a Network Control System use a periodic synchronized clock, this simplifies the model which may take into account some transmission delays. However, this assumption is strong and energy consuming. Indeed, the periodic sampling time is often chosen to ensure given performance in the worst case scenario, wasting energy when the system is running around its working point. To relax the assumption of synchronized nodes, the rest of the deliverable introduces two asynchronous design methodologies, event-based and self-triggered methodologies. The former consists in limiting the transmissions between the nodes when a given condition holds, or, in other words, when an event occurs. Not only this approach relaxes the assumption of synchronized nodes, but it also limits the transmissions which save energy. In the following, event-based approach is applied to a feedback control case and an estimation case. However, by its nature, event-based approach forces the communicating node to watch for the occurrence of the triggering event. This is relaxed in self-triggered approach where each node decides, at the end of an action (e.g. measuring, transmitting, controlling), when the next action will take place. In between these times, the node usually goes to down mode to save energy. In the last part of this deliverable, this approach is applied to a variable sample rate control and to the case of IEEE 802.15. 4 protocol.
TeacherCraft: How Teachers Learn to Use MineCraft in Their Classrooms

Teacher Craft is about how teachers learn to use new digital media. Teacher learning is central to reform and change across subject areas and age levels, but how much do we really know about how teachers learn to try new lessons in classrooms? Minecraft is currently the game of choice for millions of youth and also for these seventeen teachers who claim it has transformed their classrooms. Its rapid adoption also provides a unique window of opportunity to look inside the recent memory of innovative teachers and unpack how they learned. Why did they pick Minecraft? More importantly, how did they pick Minecraft? Where did they hear about it? Who do they trust for ideas? How do they test new ideas? Can we begin to identify the trajectories of truly innovative teachers? It turns out, we can - and it may not be what you'd expect.
ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure

Abstract Aims Heart failure (HF) is a leading cause of death. Early intervention is the key to reduce HF-related morbidity and mortality. This study assesses the utility of electrocardiograms (ECGs) in HF risk prediction. Methods and results Data from the baseline visits (1987–89) of the Atherosclerosis Risk in Communities (ARIC) study was used. Incident hospitalized HF events were ascertained by ICD codes. Participants with good quality baseline ECGs were included. Participants with prevalent HF were excluded. ECG-artificial intelligence (AI) model to predict HF was created as a deep residual convolutional neural network (CNN) utilizing standard 12-lead ECG. The area under the receiver operating characteristic curve (AUC) was used to evaluate prediction models including (CNN), light gradient boosting machines (LGBM), and Cox proportional hazards regression. A total of 14 613 (45% male, 73% of white, mean age ± standard deviation of 54 ± 5) participants were eligible. A total of 803 (5.5%) participants developed HF within 10 years from baseline. Convolutional neural network utilizing solely ECG achieved an AUC of 0.756 (0.717–0.795) on the hold-out test data. ARIC and Framingham Heart Study (FHS) HF risk calculators yielded AUC of 0.802 (0.750–0.850) and 0.780 (0.740–0.830). The highest AUC of 0.818 (0.778–0.859) was obtained when ECG-AI model output, age, gender, race, body mass index, smoking status, prevalent coronary heart disease, diabetes mellitus, systolic blood pressure, and heart rate were used as predictors of HF within LGBM. The ECG-AI model output was the most important predictor of HF. Conclusions ECG-AI model based solely on information extracted from ECG independently predicts HF with accuracy comparable to existing FHS and ARIC risk calculators.
THE DISPERSION OF LARGE-AMPLITUDE GRAVITY WAVES IN DEEP WATER

The Green-Naghdi (GN) theory of fluid sheets is used to analyse large amplitude, deep water waves in the time domain. Level III theory is used to simulate a train of steep regular waves and a random wave record corresponding to steep seas measured during hurricane Camille. An analysis of the simulated random wave record shows that the linear dispersion assumed for referring a random wave train from one point in space to another does not result in conservative estimates of two important quantities used in design: the crest elevation and particle velocity under the crest.
The Role of Resilience in the Relationship between Stress and Depression among Medical Students

: Young adults especially are vulnerable to depression during university years, with those taking up highly demanding courses like medicine showing high prevalence. Protective factors have been identified to moderate the negative effects of stress on a person. One such factor is resilience, which this study examined and its role in the relationship between stress and depression among medical students. The total population of medicine students enrolled during the data gathering was 510. Using Cochran’s formula, a five percent (5%) margin of error and a confidence level of ninety five percent (95%), the sample population taken was 220. A hierarchical linear regression was performed first to examine the relationship between stress and depression, stress and resilience and depression and resilience. Stress and depression were found to be positively correlated while both stress and depression were found to be negatively correlated with resilience. Moderation analysis was then used to determine the extent of resilience’s effect on the relationship between stress and depression. Results showed that resilience moderated the relationship between stress and depression among medical students.