Miracle-dz/UniFAR-FTUs huggingface dataset:
Stock Movement Prediction using Technical and Data

Stock price prediction is a notoriously challenging problem. Typically, when trying to solve it, researchers and individuals use either technical (prices and volumes) or fundamental (text-based) data. However, it is exceedingly rare for both forms to be used. This work utilizes Tesla data with sentiment analysis performed on news titles pertaining to the company as well as technical data on its stock over a three year period in order to predict closing price movement. For a next day prediction, the ﬁnal model architecture (a blended model) results in an accuracy of 65%, which is just under the highest accuracy observed in the literature review. Also, as time to predict goes from 1 day to 3, the GRU model does not have a large drop in accuracy, which insinuates it could be used for later predictions
DEVELOPMENT OF A MODEL PREDICTIVE CONTROL BASED ALGORITHM TO A TARGET-CHASER RENDEZVOUS MANEUVERING SCENARIO

The utilization of space for human activities has been expanding steadily over the past several decades. This in turn has also increased the amount of space debris, inducing potential risks for space operations. Hence, space debris removal has become an important topic of discussion. They can be considered uncooperative objects orbiting the earth with arbitrary motions. Debris removal satellites need to follow this motion carefully to deploy grappling mechanisms. This study addresses this problem with a model predictive controlbased algorithm to efficiently track the object, while considering fuel consumption and thruster limitations.
OTT_A_325100 121..131

Background:Many microRNAs (miRNAs) are involved in the progression of nasopharyngeal carcinoma (NPC). This study aimed to examine the expression and clinical significance of microRNA (miR)-362-3p in NPC, especially in Epstein–Barr virus (EBV)-positive patients, and explore its potential mechanism in NPC progression. Methods: miR-362-3p levels and Jumonji C domain 2A (JMJD2A) mRNA levels were detected by quantitative real-time PCR. The diagnostic value of miR-362-3p to distinguish NPC patients and EBV-positive cases was evaluated using receiver operating characteristic analysis. The association of miR-362-3p with NPC survival was assessed by Kaplan–Meier curves and Cox regression analysis. NPC cell proliferation, migration and invasion were determined using Cell Counting Kit-8 and Transwell assays, respectively. A luciferase reporter assay was used to confirm the interaction between miR-362-3p and JMJD2A. Results: miR-362-3p expression was decreased in the serum and tissues of NPC patients and had diagnostic value for screening NPC. According to the survival follow-up, NPC survivors had significantly higher miR-362-3p, and miR-326-3p was demonstrated as an independent prognostic indicator of NPC. Interestingly, it is found that EBV-positive NPC patients and cells had significantly lower miR-362-3p compared with EBV-negative NPC patients and cells and had certain ability to distinguish EBV-positive patients. Moreover, miR-362-3p inhibited the proliferation, migration and invasion of both EBV-positive and -negative NPC cells, and these effects might be mediated by targeting JMJD2A. Conclusion: Abnormal miR-362-3p expression is related to EBV-infection and prognosis in NPC patients and may be involved in NPC progression by targeting JMJD2A.
AppAxO: Designing Application-specific Approximate Operators for FPGA-based Embedded Systems

Approximate arithmetic operators, such as adders and multipliers, are increasingly used to satisfy the energy and performance requirements of resource-constrained embedded systems. However, most of the available approximate operators have an application-agnostic design methodology, and the efficacy of these operators can only be evaluated by employing them in the applications. Furthermore, the various available libraries of approximate operators do not share any standard approximation-induction policy to design new operators according to an application’s accuracy and performance constraints. These limitations also hinder the utilization of machine learning models to explore and determine approximate operators according to an application’s requirements. In this work, we present a generic design methodology for implementing FPGA-based application-specific approximate arithmetic operators. Our proposed technique utilizes lookup tables and carry-chains of FPGAs to implement approximate operators according to the input configurations. For instance, for an \( \text{M}\times \text{N} \) accurate multiplier utilizing K lookup tables, our methodology utilizes K-bit configurations to design \( 2^K \) approximate multipliers. We then utilize various machine learning models to evaluate and select configurations satisfying application accuracy and performance constraints. We have evaluated our proposed methodology for three benchmark applications, i.e., biomedical signal processing, image processing, and ANNs. We report more non-dominated approximate multipliers with better hypervolume contribution than state-of-the-art designs for these benchmark applications with the proposed design methodology.
CS230 Project report: Chronological determination of artwork

Artists (painters) born and working in a certain period in history usually establish or possess specific styles of work, e.g. impressionism, medieval oil paintings, modern abstract paintings etc. Every historic period is usually dominated by a few leading artists of a certain style (e.g., Vincent van Gogh and Claude Monet for impressionism in the 19th century) that vastly influences painters in the same age, artworks created in certain chronological periods might be clustered in style space. Therefore in this project I will investigate whether training a convolutional neural network with paintings of known composure time can make accurate predictions for the composure period of an unknown painting.
ENSURING DIFFERENTIAL PRIVACY FOR TOPIC MINING

Topic mining enables applications to recognize patterns and draw insights from text data, which can be used for applications such as sentiment analysis, building of recommender systems and classiﬁers. The text data can be a set of documents or emails or product feedback and reviews. Each document is analysed using probabilistic models and statistical analysis to discover patterns that reﬂects underlying topics. TopicDP is a diﬀerentially private topic mining technique, which injects well-calibrated Gaussian noise into the matrix output of the topic mining model generated from LDA algorithm. This method ensures diﬀerential privacy and good utility of the topic mining model. We derive smooth sensitivity for the Gaussian mechanism via sensitivity sampling, which resses the major challenges of high sensitivity in case of topic mining for diﬀerential privacy. Furthermore, we theoretically prove the differential privacy guarantee and utility error bounds of TopicDP. Finally, we conduct extensive experiments on two real-word text datasets (Enron email and Amazon Product Reviews), and the experimental results demonstrate that TopicDP can generate better privacy preserving performance for topic mining as compared against other state-of-the-art diﬀerential privacy mechanisms.
Breeding soundness of semen producing bulls, their semen quality and inter relationship of functional tests with spermatozoa motility percentage

This work was conducted to study the breeding soundness of semen producing bulls, their semen quality to functional tests and the inter relationship of these functional tests with spermatozoa motility percentage for the semen produced at National Animal Genetic Improvement Institute (NAGII). A total of 14 breeding bulls (Boran = 4, Crosses of 75% Holstein Frisian × 25% Boran = 4 and Holstein Frisian = 6) with respective ejaculates of 35, 33 and 57 for semen quality evaluations were considered. After physical examination of bulls for breeding soundness, semen samples were tested for functional and structural (spermatozoa acrosome integrity, viability and hypo osmotic swelling reactivity) tests and spermatozoa motility percentage using subjective and objective (computer assisted semen analysis; CASA) evaluation methods, to see the correlation of functional tests with spermatozoa motility percentage. And in the study, nevertheless, significant differences between Cross and HF breeds were not recorded for the breeding soundness evaluation parameters and for most of the semen quality parametric test values; significantly (P < 0.05) minimal and highest parametric values of the breeding soundness evaluation and semen quality were recorded in Boran and HF breeds, respectively. All the functional semen quality evaluation tests (HOST, acrosome integrity, sperm morphological defect and viability) were related in one or the other to the objective CASA individual spermatozoa motility evaluation; which were not true with subjective individual spermatozoa motility estimation. Therefore, conducting stringent breeding soundness evaluation for these breeds and evaluating their individual spermatozoa motility percentage using CASA system instead of subjective motility estimation can screen good quality semen and subsequently make possible to predict their fertility potential.
Rekonstrukce trojdimenzionálních modelů zvířat Reconstructing 3D Models of Animals

This diploma thesis explores the problem of 3D animal reconstruction, which could have multiple practical applications in agriculture or computer animation. It provides a comprehensive literature overview, discussing existing 3D reconstruction methods and their suitability for the given task. It then demonstrates the results of the most suitable state-of-the-art end-to-end reconstruction pipelines and proposes a new method, called SMAL4V, which extends those pipeline to video sequences. For that, it also introduces a new dataset, AnimalKey, on which 3D reconstruction models can be trained or compared, and makes it available to the research community.
The effect of propeller cap angle and fin size of PBCF on propeller performance

The propeller was one of the main propulsors in ships that consumed a lot of fuel due to the viscous force acting in the ship. Therefore many studies have been carried out to increase the performance of ship propellers. One of the ways is using Energy Saving Device (ESD) to improve propeller performance. One of the ESD is Propeller Boss Cap Fins (PBCF). PBCF was used to improve the propeller performance by reducing the hub vortex during propeller rotation. In this study, we compare the propeller performance before and after PBCF installation without changing propeller dimensions. The variations of PBCF fins were made in 0,1D, 0,2D, and 0,3D with a combination of the angle of the propeller cap were 15° and 20°. The propeller performance is carried out with the computational fluid dynamics (CFD) method. It was made in the open water assumption to reduce of wall effect. B-series propeller is used in the present study. The validation of propeller performance is made using empirical results. This study aimed to determine the effect of the installation of PBCF on the performance of B-Series propellers on the Ro-Ro 1000 GT ship. The results show that variation with a fin diameter of 0,2D and a propeller cap of 20° can increase propeller efficiency by 0.03%. It can be concluded the addition of PBCF can improve propeller performance.
Robot Motion Planning and Control for Moving Objects.

This paper describes robot motion planning in a very dynamic environment, that is, a trajectory generation to attain a working purpose with redundancy freedom to use under the restriction of time and space. In particular, we focus on "juggling" as the typical example of such a task. We will describe a parametric representation of the robot motion which makes it easy to generate the appropriate trajectory of the end-effector for the "juggling" task. Also, we will describe a hierarchical learning control strategy which is effective in generating a desired motion pattern for juggling which has not been previously taught to the robot. For an actual robtot juggling several balls, we predict the location and time at which a ball is caught using sensory feedback signals and modify the end-tip trajectory. Experimental results obtained using a 2-d. o. f. direct-drive manipulator are also presented.
Probabilistic-based Human Behaviour Analysis using Hierarchical Framework

Tese de doutoramento em Engenharia Electrotecnica e de Computadores, na especialidade de Automacao e Robotica, apresentada ao Departamento de Engenharia Electrotecnica e de Computadores da Faculdade de Ciencias e Tecnologia da Universidade de Coimbra
PT PAL Empowerment Strategy as a Lead Integrator at ALPALHANKAM KCR 60 to Support State Defense at Sea

Research on the empowerment of PT PAL as a Lead Integrator on the KCR 60 Defense Security Equipment Tool (ALPALHANKAM) to support national defense at sea as part of the Alutsista readiness within the scope of Defense Management. This study is important because according to the Law Decree No: 16 of 2012 on Defense Industry which states that one of the government-owned defense industries designed as Lead Integrator (main guide) is PT. PAL Indonesia Persero. The tasks and functions of the 60 m Fast Missile Ship (KCR 60) are very significant with a relatively small size but because it is equipped with Anti-Surface Missiles, the “deterrence effect ” becomes very large both regionally and globally. This study has the objective to analyze the condition of the involvement of PT PAL as Lead Integrator in the development and maintenance of KCR 60 and empowerment strategies that must be implemented in order to promote the progress of shipbuilding companies nationwide ground water either owned by the government (SOEs) and private (BUMS) to support national defense at sea. In addition to PT PAL, the role of the TNI-AL as the user of the KCR 60 is very important and dominant so that research is carried out starting from the TNI-AL Headquarters, Koarmada, the Fast Boat Unit in the Koarmada and KRI as a tactical unit carrying out field operations. The research method used is qualitative where primary data collection is done by interview, observation and secondary data derived from literature review and researching facts and data in the field up to the smallest unit, namely KRI and from various publications in the form of books, journals and mass media and social media related to the object of research. The data analysis technique used is the interactive model of Miles & Huberman.
Cross-beam energy transfer saturation: ion heating and pump depletion

Cross-beam energy transfer (CBET) was measured in two regimes where the energy transfer saturation mechanism was determined by the plasma and laser beam conditions. Linear kinetic CBET theory agrees well with the measured energy transfer in all experimental configurations and at all probe beam intensities when accounting for pump depletion and the plasma conditions measured using Thomson-scattering. Simultaneous CBET and Thomson-scattering measurements enabled uncertainties in the plasma conditions to be isolated from CBET theory, which allowed the saturation mechanisms to be identified. In the perpendicular-beam configuration the saturation mode was through ion heating, which resulted from ion trapping in the driven waves and subsequent ion-ion collisional heating. In the co-propagating beam configuration there was minimal ion heating and the saturation mode was through pump depletion.
Novel fast speed lateral IGBT

Fast speed Lateral Insulated-Gate Bipolar Transistors with a embedded-resistance-controlled split anode (Split-LIGBTs) are proposed and discussed. New anode concept is the ideal combination between the conventional anode part and the embedded-resistance-controlled anode part, which can make the new Split-LIGBTs achieve fast speed in turn-off state and high current handling capability in on-state, simultaneously. And the embedded-resistance-controlled anode structure can also effectively suppress snapback in conducting I-V characteristics. As numerical simulations shown, the proposed Split-LIGBTs have better trade-off between Von & Eoff under both Clamped Inductive Switching (CIS) and resistive load switching. The proposed devices can be fabricated by conventional SOI Power Integrated Circuits (PIC) process utilizing Dielectric Isolation (DI) technology.
Project scheduling algorithms for construction projects with stretchable activities

Project management requires increasingly complex, sophisticated scheduling models, preferably in the simplest possible way, for which the rapid expansion of computing capacity provides an increasing opportunity. In this paper, we examine deterministic models that, as a further development of the traditional CPM and PDM models (with four well-known minimum and maximum priority relationships) allow activity to be stretchable. The aim of the study is a) to implement different algorithms for time analysis on computers, b) to compare their speeds on large-scale real and artificial projects; c) to prepare proposals for selecting the best fitting algorithm(s) to the specific model(s). The comparison was based on real network. The results show that depending on the models, different algorithms perform well, so we recommend that different algorithms be implemented in the scheduling tools and let the tool decide which algorithms will be optimal for the computation time
Distillation Technology Down-selection for the Exploration Life Support (ELS) Water Recovery Systems Element

The Water Recovery System (WRS) Element of the Exploration Life Support (ELS) Project is developing a closed loop water recovery system for future exploration architectures. Currently, a phase change technology is a possible method for primary water recovery in this architecture. Three competing technologies were evaluated in 2009 for application to a closed loop system, including the Vapor Compression Distillation (VCD), the Cascade Distillation Subsystem (CDS), and the Wiped-Film Rotating Disk (WFRD). The Distillation Comparison Test used test conditions expected for an extended exploration mission to gather comparable performance and chemical data on the competing technologies. The resulting data and key performance parameters for each technology were compiled into a comprehensive decision package which was evaluated by technology and systems modeling experts to assist the ELS Project Office in identifying which technologies merit further development. This paper provides an overview of the down-selection process.
Effects of spatial variability on the seismic response of the Wildlife Liquefaction Array

Nonlinear deformation analyses (NDAs) are increasingly being used to assess the expected performance of sites affected by earthquake-induced liquefaction. Using the results of NDAs in performance-based design requires an understanding of the sources and magnitudes of uncertainty in the predicted responses, such as the spatial variability of soil properties across a site. Stochastic modeling approaches, such as spatially correlated random fields, offer a means to directly incorporate spatial variability into NDAs. However, this approach has not commonly been applied to case histories. This paper describes the application of stochastic modeling techniques to the Wildlife Liquefaction Array (WLA) to evaluate the effects of spatial variability on the computed response. WLA is underlain by young flood plain deposits and the upper silty sand and sandy silt layers liquefied during the 1987 Superstition Hills Earthquake (Mw = 6.6). The response of the site was recorded by piezometers, an inclinometer, and an accelerometer array that had been installed prior to the earthquake. Subsurface investigations at the site show significant heterogeneity in the cone penetration resistance within the liquefiable layers, which have commonly been modeled using homogeneous layers in previous studies. In this paper, the response of the WLA to the 1987 earthquake is simulated with properties of the liquefiable layers represented using spatially correlated random fields. These random fields are conditioned on CPT soundings at the site to more closely approximate the field conditions. The results of the numerical simulations are compared to the recorded response at the site to validate the approach and identify aspects of the recorded response that are influenced by the inclusion of spatial variability, such as the rate of pore pressure generation within the liquefiable layer.
SOCIAL STATUS INSECURITY AND BODY IMAGE RELATED HEALTH OUTCOMES: TESTING A MODERATED MEDIATION MODEL

Body dissatisfaction has been found to be associated with a wide range of maladjustment outcomes and negative behavioral consequences. To identify the sources leading to body dissatisfaction, the present study proposed that an aspect of social cognition specifically regarding peer status, known as social status insecurity, may function as a precursor of body dissatisfaction. This study further examined the associations between social status insecurity and body-image-related health outcomes by focusing on the mediation effects of body dissatisfaction in a sample of 308 Chinese adolescents (117 girls, 191 boys). Furthermore, this study examined whether these mediation processes were moderated by social status (i.e., popularity status, social preference) and gender, with each type of social status (e.g., popularity) moderating the corresponding type of social status insecurity (e.g., popularity status insecurity). Results from path analyses generally demonstrated that feeling insecured about one’s status among peers is directly or indirectly associated with maladaptive eating behaviors, worse health conditions, social anxiety, and depressive symptoms, depending on the attained status and/or gender. Findings from this study can inform researchers, educators, and clinicians of peer status related vulnerabilities that likely induce adolescents’ disordered eating behaviors and physical, mental health problems, as well as inform them of some new directions for interventions aiming at reducing these negative outcomes.
DB120837 1512..1518

Recent evidence suggests that central leptin administration fully normalizes hyperglycemia in a rodent model of uncontrolled insulin-deficient diabetes by reducing hepatic glucose production (HGP) and by increasing glucose uptake. The current studies were undertaken to determine whether brain-derived neurotrophic factor (BDNF) action in the brain lowers blood glucose in uncontrolled insulin-deficient diabetes and to investigate the mechanisms mediating this effect. Adult male rats implanted with cannulas to either the lateral cerebral ventricle or the ventromedial hypothalamic nucleus (VMN) received either vehicle or streptozotocin to induce uncontrolled insulin-deficient diabetes. Three days later, animals received daily intracerebroventricular or intra-VMN injections of either BDNF or its vehicle. We found that repeated daily intracerebroventricular administration of BDNF attenuated diabetic hyperglycemia independent of changes in food intake. Instead, using tracer dilution techniques during a basal clamp, we found that BDNF lowered blood glucose levels by potently suppressing HGP, without affecting tissue glucose uptake, an effect associated with normalization of both plasma glucagon levels and hepatic expression of gluconeogenic genes. Moreover, BDNF microinjection directly into the VMN also lowered fasting blood glucose levels in uncontrolled insulin-deficient diabetes, but this effect was modest compared with intracerebroventricular administration. We conclude that central nervous system BDNF attenuates diabetic hyperglycemia via an insulin-independent mechanism. This action of BDNF likely involves the VMN and is associated with inhibition of glucagon secretion and a decrease in the rate of HGP. Diabetes 62:1512–1518, 2013