Miracle-dz/UniFAR-FTUs huggingface dataset:
Non Co-Operative Detection of LPI/LPD Signals via Cyclic Spectral Analysis

Abstract : This research proposes and evaluates a novel technique for detecting LPI/LPD communication signals using a digital receiver primarily designed to detect radar signals, such as a Radar Warning Receiver (RWR) or an Electronic Support Measures (ESM) receiver. The proposed Cyclic Spectrum Analysis (CSA) receiver is a robust detector that takes advantage of the spectral correlation properties of second-order cyclostationary signals. A computationally efficient algorithm is used to estimate the Spectral Correlation Function (SCF). Using state-of-the-art FFT processing, it is expected that the proposed CSA receiver architecture could estimate the entire cyclic spectrum m approximately 0.6 ms. The estimate is then reduced to an energy related test statistic that is valid for all cycle frequencies within the receiver bandwidth. By producing an estimate of the cyclic spectrum, the CSA receiver also benefits post-detection tasks such as signal classification and exploitation. As modeled, the ideal CSA receiver detection performance is within 1.0 dB of the radiometer in benign signal environments and consistently outperforms the radiometer in adverse signal environments. The effect on detection performance when the CSA receiver is implemented with channelized and quadrature digital receiver architectures is also examined.
Loess

Linear least squares regression is among the most well known classical methods. This and other parametric least squares regression models do not perform well when the modeling is too restrictive to capture the nonlinear effect the covariates have on the response. Locally weighted least squares regression (loess) is a modern technique that combines much of the simplicity of the classical least squares method with the flexibility of nonlinear regression. The basic idea behind the method is to model a regression function only locally as having a specific form. This paper discusses the method in the univariate and multivariate case and robustifications of the technique, and provides illustrative examples. Copyright © 2010 John Wiley & Sons, Inc.
Control of neurotransmission by diffusional properties of a presynaptic plasma membrane protein - syntaxin1A

i Declaration by author . iv Publications included in this thesis . v Submitted manuscripts included in this thesis. vi Other publications during candidature . vii Peer-reviewed papers . vii Conference Abstracts . vii Contributions by others to the thesis . ix Statement of parts of the thesis submitted to qualify for the award of another degree . ix Research Involving Human or Animal Subjects . ix Acknowledgments . x Financial Support . xi
18 F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography imaging for the diagnosis of immune checkpoint inhibitors associated myocarditis

Immune-checkpoint inhibitors (ICI) have profoundly improved the prognosis of cancer patients but are associated with life-threatening myocarditis (incidence≤1%). The diagnosis of ICI-myocarditis remains challenging necessitating the need for novel diagnostic strategies.This single center cohort included 61 consecutive patients referred to our cardio-oncology unit for a suspicion of ICI-myocarditis with a positive troponin, between March 2019 and March 2021. In the 31 patients with suspected ICI-myocarditis with available FDG-PET, the median delay between admission and the first available FDG-PET performed was 12 days [interquartile-range:9-30]. Patients received ICI (ICI-monotherapy: 24/31, 77% and ICI-combination therapy: 7/31, 23%), mainly for lung cancer (n=10), melanoma (n=5), and kidney cancer (n=3). FDG-PET was performed using a standardized protocol involving dietary measures prior to PET, including fasting of at least 6h and a fat enriched diet without carbohydrates for 24h. FDG-PET platforms included Biograph-mCT-Flow Siemens (n=9/34, 26%) or Discovery-MI-5-Ring General Electric (n=25/34, 74%) devices and analysed using Singo.via Workstation (Siemens) by a nuclear medicine physician blinded to patients’ medical records. Interpretation of FDG-PET was based on the following classification: 1/No FDG uptake, 2/Diffuse FDG uptake, 3/Focal FDG uptake, 4/Focal on diffuse FDG uptake.An abnormal cardiac fixation on FDG-PET suggestive of myocarditis was observed in only 2/21 (9.5%) patients with otherwise definite ICI-myocarditis (1 diffuse, 1 focal), not different in proportion versus 1/7 (14.3%, 1 focal) patient without ICI-myocarditis (p>0.99). The sensitivity, specificity, positive predictive and negative predictive values (with their 95% confidence-interval) of FDG-PET for ICI-myocarditis was 9.5% (1.2-30.4%), 85.7% (42.1-99.6%), 66% (17.5-95%), 24% (18.5-30.6%), respectively. Only 2/14(14.2%) FDG-PET were positive despite being performed at a time in which ICI-myocarditis was fully active with troponin levels over ten-times the normal values versus 0/6(0%,p>0.99) for FDG-PET performed when troponin levels were abnormal but below ten-times the upper limit. Similarly, there was no difference in FDG-PET positivity rate for exams performed within 14 days (1/7, 14.3%; plus 3 inconclusive exams) versus those performed after 14 days (1/14, 7.2%; no inconclusive exams; p>0.99) of hospital admission.Altogether, our study suggests that FDG-PET has a limited diagnostic value for the diagnosis of ICI-Myocarditis.
Industrial engineering disciplines in the next millenium

The combination of globalisation, new management thinking and technology creates vast new open deregulated markets, wired together by a converging information highway. As new and transformed organisations are re-writing the rules of business, new ways are being sought to address the challenge of this new knowledge era. This paper presents industrial engineering disciplines required to deal with emerging business models in service industries.
REMOTE SENSING IMAGES CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK

The Deep learning plays the vital role in day to day real time applications. Machine Learning helps in various fields, for example, Natural language Processing, Computer Vision, Medical diagnostics and remote sensing images classifications. The Convolutional Neural Net-works algorithms provide the higher exactness, solid capacity to data extraction. Remote satellite image classifications that are used for the examination of ecological and topographical fields are procured through remote sensing methods. The manual classification not suit-able for land field evaluation and definite report plan, . In this paper proposed the deep learning based remote satellite classification. In this system provides higher accuracy compared to the previous system
A Study of Grippers with Multiple Degrees of Mobility : Vibration, Control Engineering, Engineering for Industry

The number and dimensional syntheses of mechanical grippers with multiple degrees of mobility are presented systematically. Several types of contacts of fingers with a grasped body are considered as kinematic pairs, and number conditions for grasping a body are derived by applying Grubler's mobility equation to the gripper-body kinematic system. A number synthesis of a gripper with one input and three degrees of mobility, as an example, is carried out, and dimensions of parameters of such a gripper are determined by considering action forces and transmissibilities. Moreover, the graspable size of a circular cylinder by such a gripper is obtained, and is compared numerically to that with the use of a conventional parallel-two-finger-type gripper. Also, characteristics such as shapes, sizes, and masses of the bodies are obtained with respect to a circular cylinder, a regular square prism, and a hexagonal prism.
Intrinsic Role of Cationic Substitution in Tuning Li/Ni Mixing in High-Ni Layered Oxides

Nickel-rich transition-metal (TM) layered oxides, particularly those with high Ni content, attract worldwide interest for potential use as high-capacity cathodes in next-generation Li-ion batteries. However, as Ni loading increases, Li and Ni sitting at octahedra tend to mix, resulting in reduced electrochemical activity, which has been one major obstacle to their practical applications. Herein, we investigate the kinetic and thermodynamic aspects of Li/Ni mixing in LiNi0.7MnxCo0.3–xO2 (0 ≤ x ≤ 0.3) as they are synthesized, through quantitative determination of structural ordering and comparison to ab initio calculations. Results from this study elucidate the role of Co/Mn-substitution in tuning Li/Ni ordering, intrinsically through local magnetic interaction. Specifically, Co substitution facilitates Li/Ni ordering by relieving the intra-plane magnetic frustration and reducing the inter-plane super-exchange (SE) interaction; in contrast, Mn exacerbates magnetic frustration and strengthens SE, thereby agg.
Ataxia.

PURPOSE OF REVIEW This article reviews the symptoms, laboratory and neuroimaging diagnostic tests, genetics, and management of cerebellar ataxia. RECENT FINDINGS Recent advances in genetics have led to the identification of novel genetic causes for ataxia and a more comprehensive understanding of the biological pathways critical for normal cerebellar function. When these molecular pathways become dysfunctional, patients develop cerebellar ataxia. In addition, several ongoing clinical trials for Friedreich ataxia and spinocerebellar ataxia will likely result in novel symptomatic and disease-modifying therapies for ataxia. Antisense oligonucleotides for spinocerebellar ataxias associated with CAG repeat expansions might be a promising therapeutic strategy. SUMMARY Cerebellar ataxias include heterogeneous disorders affecting cerebellar function, leading to ataxic symptoms. Step-by-step diagnostic workups with genetic investigations are likely to reveal the underlying causes of ataxia. Some disease-specific therapies for ataxia exist, such as vitamin E for ataxia with vitamin E deficiency and thiamine for Wernicke encephalopathy, highlighting the importance of recognizing these forms of ataxia. Finally, genetic diagnosis for patients with ataxia will accelerate clinical trials for disease-modifying therapy and will have prognostic value and implications for family planning for these patients.
Confidence‐driven weighted retraining for predicting safety‐critical failures in autonomous driving systems

Safe handling of hazardous driving situations is a task of high practical relevance for building reliable and trustworthy cyber‐physical systems such as autonomous driving systems. This task necessitates an accurate prediction system of the vehicle's confidence to prevent potentially harmful system failures on the occurrence of unpredictable conditions that make it less safe to drive. In this paper, we discuss the challenges of adapting a misbehavior predictor with knowledge mined during the execution of the main system. Then, we present a framework for the continual learning of misbehavior predictors, which records in‐field behavioral data to determine what data are appropriate for adaptation. Our framework guides adaptive retraining using a novel combination of in‐field confidence metric selection and reconstruction error‐based weighing. We evaluate our framework to improve a misbehavior predictor from the literature on the Udacity simulator for self‐driving cars. Our results show that our framework can reduce the false positive rate by a large margin and can adapt to nominal behavior drifts while maintaining the original capability to predict failures up to several seconds in advance.
Modelling of Rigid-Body and Elastic Aircraft Dynamics for Flight Control Development.

Abstract : The purpose of this effort was to provide a method of developing a linear model of an elastic aircraft. The model provides the capability to analyze the coupling between the rigid and elastic motion of the aircraft. The method developed in this effort obtains stability derivatives directly from unsteady aerodynamic forces. This results in a state space model whose states are just the normal aircraft states and rates, the structural coordinates and rates, and the control surface positions and rates. Using a representation of the YF-17 wind tunnel flutter model, it was demonstrated that the methodology developed predicted the required dynamics to make this a viable method of modelling rigid body and flutter behavior of the model. Flutter control laws were designed for motion about an equilibrium condition represented by a velocity 20% above the flutter velocity. Both classical and modern techniques yielded acceptable control laws. The control laws were also analyzed at off design conditions to check robustness. Keywords: Aeroelasticity; Airplane models; Aerodynamic Stability; Flight; Controls Systems; Theses.
Natural Environments for Testing and Training: Developing Geographic Analogs for an Expeditionary Army

Abstract : The 21st century Army will be engaged in numerous joint and expeditionary operations throughout the five regional Combatant Commanders areas of responsibility. Currently, Army forces are deployed globally in more than 120 countries. These regions contain a wide range of natural environments that present unique operational challenges to soldiers and equipment. The distribution of climate, terrain and other environmental factors, and their potential effects on Army operations, must be fully understood. There is a direct geographical and physical relationship between where the Army trains soldiers and tests equipment at U.S. installations to where it will deploy its forces. The conduct of any military enterprise is conditioned by the character of the area of operations--the military operating environment (Palka and Galgano, 2005). Military history and military geography, as well as lessons learned from current operations, provide ample evidence that understanding and adapting to the natural environment is a critical component of operational success. A revised framework for understanding the natural environments of operational areas, and their relationships to U.S. training and testing installations, is presented. This framework the Global Military Operating Environments (GMOE) is developed from a worldwide ecoregional classification system that provides a logical and scientifically based approach to characterizing the spatial distribution of climates and associated environmental factors. The GMOE framework allows for comparison of operational environments across the globe to those found on U.S. Army installations where training of soldiers and testing of equipment take place.
An Evaluation of Data Information Transfer Requirements for the Future DCS.

Abstract : To perform telecommunications design effectively, a data base of user requirements for ADP generated information transfer must be developed. There is little commonality of data transfer characteristics among many existing ADP systems that use telecommunications transfer of data. Therefore, the problems of telecommunication of data are numerous, and a growing need for additional capability is foreseen. To provide this telecommunications capability, existing and future data transfer needs must be identified and characterized, and this report is intended to provide insight into the problem. (Author)
Landpower and Network-Centric Operations: How Information in Today's Battlespace can be Exploited

Abstract : The concept and theories associated with Network Centric Warfare (NCW) have been bantered about since early in 1998. The data to support claims of increased mission effectiveness through robustly networked forces is now becoming available. This essay will examine the tenets of NCW in the context of the V Corps fight during Operation Iraqi Freedom (OIF). The Center for Strategic Leadership, U.S. Army War College, is scheduled to release a study for the Office of Force Transformation, Office of the Secretary of Defense, examining V Corps major combat operations during OIF sometime in mid-2006. The researchers conducted qualitative analysis of 50 personal interviews with participants of all ranks. Also, the research team gathered statistical data from over 500 survey responses. Although the study focused at the tactical level, the data will be used to articulate the enabling potential of NCW at the operational level of war. This essay will explore the implications of the NCW at the operational level of war by examining V Corps operations during the battle of the Karbala Gap. V Corps conducted network centric operations using a series of new technologies to command and control five simultaneous battles. The relationship between sensors, shooters, and command and control will highlight the benefits of a networked force in information age warfare. The journey toward achieving enhanced situational awareness to increase mission effectiveness is in its early stages. Additionally, the data acquired from the study points to several important recommendations to proceed with the implementation of NCW capabilities across the force.
Effect of land use change on hydrology of forested watersheds

Land use/cover changes (LUCCs) in megacities can be rapid and extensive and lead to unintended consequences in sustainable watershed management. The aim of this study was to investigate effects of LUCC on hydrological components using Soil & Water Assessment Tool (SWAT) model in Terkos Basin, Turkey. Four LUCC scenarios (deforestation, urbanization, decrease in agricultural land and expansion in agricultural land) were set up regarding possible future land use changes in the watershed. Surface runoff was the main hydrological component that was impacted by LUCCs. Urbanization and conversion into agricultural lands scenarios resulted in considerable increases in surface runoff. Annual change of surface runoff for urbanization and conversion into agricultural lands scenarios was over 45% when compared to the baseline scenario. More remarkable changes were seen in dry months among the scenarios. Controlling the overall response of the hydrological systems to LUCC depends on better understanding of surface runoff processes. LUCC scenarios were also assessed based on freshwater availability components blue water and green water. The average annual total blue water potential, annual total green water flow and average green water storage of studied sub‐basin were 537, 584 and 108 mm/year for the baseline scenario, respectively. The trends of the blue water flow and green water storage were similar for each scenario, in that they were closely related to precipitation. This study provides valuable insight into hydrological impacts of possible land use changes on forested watersheds.
Seuils d’instabilité d’un instrument de musique à anche simple : Protocole expérimental & Instrumentation d'une bouche artificielle

Single reed instruments like clarinet and saxophone may be considered as the coupling of an acoustic resonator (the bore of the instrument) and the reed which acts as a valve modulating the air flow blown by the musician. The blowing pressure required for sound emergence is mainly determined by the acoustic characteristics of the bore. However previous studies explain that it may be largely influenced by the way the player controls the dynamical behaviour of the reed, in particular how the player's lips damp the mechanical resonance of the reed. We will present preliminary xperimental work in order to compare the measurements with the pressure threshold theory.
Adenovirus Virus Expressing Myostatin- Somatostatin Fusing Gene Promote the Growth Rate of the Mice

Background Myostatin (MSTN) and somatostatin (SST) are all involved in regulation the growth of the animals. Animals immunized with these proteins induce the related immune response, which could neutralize the normal inhibitory effects of these two proteins. Here, a recombinant adenovirus expressing MSTN-SST was constructed and used to deliver these two antigen to mice, so as to check the immunize efficacy of these proteins delivered in this way. Results The adenovirus expression fusing protein MSTN-SST was successfully rescued on HEK293A cell as adenovirus related cell pathological change were observed after transfection with the adenovirus genome harboring MSTN-SST gene. The expression of MSTN-SST were confirmed using western blotting and indirect immunofluorescence. Immunization with the recombinant adenovirus once or twice were successfully induce immune response against MSTN-SST and resulted in an improved growth rate and muscle mass. In addition, a booster immunization leaded a better results shown as higher antibody response and mice growth rate. Conclusions Accordingly, adenovirus can be used as a vector for deliver myostatin and somatostatin gene to increase animal growth rate and muscle mass .
Modern Semiconductor Devices for Integrated Circuits

3. Electrons and holes are the major characters in the play and carry opposite charge. Their mass however is altered from the mass of an electron in vacuum. The altered mass is called e ective mass, mn and mp 4. The band model is the tool required for quantitative analysis of semiconductors. From this model one can get the energy gap, E-K diagrams allowing the determination of e ective masses, analysis of the energy levels with in the gap and the conduction/valence bands etc
Technical Review of the Declarative to Procedural Tutor for Moving Target Tutor (Review of D2P/MTT 11/27/2012)

Abstract : The Moving Target Tutor (MTT) is a computer-based, multimedia tutoring system designed to teach people an important skill in marksmanship: shooting moving targets. To hit moving targets, a person must be able to quickly retrieve the correct Points of Aim (PoA). PoA is how far to lead a moving target based on the range of the target, how fast it is moving, and the angle between shooter and the target's heading. MTT uses a learning theory (Kim, Koubek, & Ritter 2013) implemented in an architecture called D2P (Ritter, Yeh, Cohen, Weyhrauch, Kim, & Hobbs, 2013). MTT contains approximately two to three hours of instructional materials including instructional text, pictures, audio, videos, and quizzes. These materials are then presented in the D2P program that is capable of handling other tutoring content. In this paper we present the effect of using MTT in learning PoA by university students. We found our participants improved in accuracy (more than tripled their ability to judge PoA, effect size = 3.7) and an improvement in PoA of ) and, simultaneously, reduced the time to determine PoA. Although the participants may not have had a need to master marksmanship for purposes outside of this study, this report still provides insights about the effectiveness of using MTT, along with D2P, and points to directions for future improvements.