Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk Return Trade off: Evidence from Monthly Return of Banking Industry in Dhaka Stock Exchange

In this paper an attempt is made to assess risk return relations focusing investment in banking sector covering 29 listed banks in Dhaka stock exchange out of 30 listed centering on monthly return from investment. For this purpose, different statistical tools are accompanied with risk adjusted performance measures suggested by Jenson, Treynor and Sharpe are employed widely known as Treynor ratio, Sharpe ratio, and Jensen’s alpha. This study found that, over the research period selected stocks show annualized monthly return and downward trend in comparison to market return. According to CAPM about 60% of banking socks show positive results but lower than risk free rate means no market risk premium to investors. Simultaneously, all risk adjusted measures show that all stocks are under performing with less diversification opportunities. This study also assess options to select strongly correlated stock through correlation matrix, which show strong correlation between The City Bank and Uttara Bank Limited with 80% has an option to create portfolio, JEL Classifications: G11, G12 Keywords: Holding period Return Beta CAPM, Sharpe Ratio, Treynor Ratio, Jensen Ratio.
On the computational complexity of bisimulation

In his Turing Award lecture, Juris Hartmanis eloquently discusses, among other things, the fundamental role of computational complexity theory in computer science. He goes on, in the context of describing joint work with Phil Lewis and Richard Stearns, to highlight some of the results obtained on the computational complexity of problems in formal language theory; for example, all contextfree languages are contained in TIME[ n3 ] and SPACE[log2 n]. We argue here that the computational complexity of generative devices such as grammars or automata takes on a new and interesting light when such devices are interpreted as generating (concurrent) processes rather than formal languages and the traditional notion of language equivalence is replaced by bisimulation equivalence. Bisimulation is the cornerstone of a number of theories of concurrent and distributed computing, most notably Robin Milner’s Calculus of Communicating Systems (C! CS). Given that Milner received the 1991 Turing Award and that bisimulation figured prominently in his Turing Award lecture, we believe it is particularly apropos to re-examine the field of computational complexity, in this setting. Bisimulation has also drawn the attention of modal logicians, who called it the “zig-zag” relation almost twenty years ago; it is intimately related to the distinguishing powers of general branchingtime temporal logics, in particular the modal mu-calculus. Set theorists have been attracted to bisimulation, as it forms the basis of Peter Aczel’s Antifoundation Axiom for non-well-founded set theory. The functional programming community has also shown interest in bisimulation, as evidenced by Samson Abramsky’s notion of applicative bisimulation for relating terms of the lazy lambda calculus. Finally, as we shall demonstrate, bisimulation has an elegant game-theoretic interpretation as promulgated by Colin Stirling. To motivate this study, consider the two regular expressions ab + ac and a( b + c) that are represented by the following nondeterministic finite-state automata (NFA) and corresponding regular grammars:
Evaluating a $2M Commercial Server on a $2K PC and Related Challenges

Talk Abstract Many future multiprocessor servers will execute large commercial workloads, such as database management systems and web servers. Thus, simulations of new multiprocessor designs should run these workloads. However, simulating expensive servers running these large workloads on low-cost personal computers presents many challenges. Most of this talk discusses the Wisconsin Multifacet project's approach to commercial workload simulation [1]: Multifacet's Simulation Infrastructure and Workload Development Process. Our infrastructure uses real hardware , locally-developed simulators, and Virtutech Simics. Our workload development process selects commercial workloads, tunes them on real hardware, scales them for simulation, and then re-tunes the scaled workloads. Managing Simulator Complexity. We separate the timing simulator from the functional simulator. The timing sim-ulator mimics the micro-architectural timing of alternative future systems, along with the functional behavior of dynamically common instructions. The functional simulator, Simics, checks the timing simulator by modeling full-system functionality. Coping with Workload Variability. Small changes in micro-architectural parameters can cause multithreaded work-loads to follow different paths (e.g., due to lock race and OS scheduling). We add pseudo-randomness to our deter-ministic simulation to enable standard statistical analyses to distinguish significant effects from random ones. that include making simulators more modular, developing benchmarks more appropriate to target areas, expanding the use of analytic models to complement simulation, and increased emphasis on validating results via multiple methods. The results I present reflect the creativity of the authors of the original works, whereas errors in this talk are mine.
Design, Simulation, Fabrication and Testing of a Bio-Inspired Amphibious Robot with Multiple Modes of Mobility

Surf-zone environments represent an extreme challenges to robot operation. A robot that autonomously navigates rocky terrain, constantly changing underwater currents, hard-packed moist sand and loose dry sand characterizing this environment, would have significant utility in a range of defence and civilian missions. The study of animal locomotion mechanisms can elucidate specific movement principles that can be applied to address these demands. In this work, we report on the design and optimization of a biologically inspired amphibious robot for deployment and operation in an ocean beach environment. We specifically report a new design fusing a range of insectinspired passive mechanisms with active autonomous control architectures to seamlessly adapt to and traverse a range of challenging substrates both in and out of the water, and the design and construction of SeaDog, a proof-of-concept amphibious robot built for navigating rocky or sandy beaches and turbulent surf zones. The robot incorporates a layered hull and chassis design that is integrated into a waterproof Explorer Case in order to provide a large, protected payload in an easy-to-carry package. It employs a rugged drivetrain with four wheel-legs and a unique tail design and actuation strategy to aid in climbing, swimming and stabilization. Several modes of terrestrial and aquatic locomotion are suggested and tested versus range of mobility metrics, including data obtained in simulation and hardware testing. A waterproofing strategy is also tested and discussed, providing a foundation for future generations of amphibious mobile robots.
Corporate Governance and Control: Yesterday, Today, and Tomorrow. a Critical Survey

This is a critical survey dealing with the methodology of corporate governance literature, in general. Historically, researchers failed to address the problems of corporate governance properly due to the biased approaches to the issues around corporate governance when the national economy is in boom. As a result they have produced confusing definitions, and contradicting rules and suggestions. This study suggests that a standardization effort will help to clear up this situation and help future researchers by providing them with universally accepted references.
Pricing Financial Derivatives in TURKDEX Using Artificial Neural Networks Tools and a Comparison with Conventional Theory

Derivative instruments have been gaining importance in finance area over the last 30 years as all developed economies have established regulated derivative exchanges. Although the need for derivative markets criticized by many researchers, developing countries offer their own derivative markets to enable to attract foreign investments. The well known arbitrage free pricing theory applied when pricing derivative securities is based some assumptions, which may not be verified in many of those newly flourishing and volatile markets. This leads researchers to use new techniques, such as multi layer feedforward neural networks, to forecast derivative contract prices on imperfect marketplace. This paper proposes a nonparametric approach to evaluate futures contracts traded in Turkish Derivative Exchange.
A Pushouts Based Knowledge Merging Method: Knowledge Reorganization in Emergency Decision-Making Support

There is an increasing need for emergency decision-making support on the acquisition of background knowledge. However such background knowledge decision-makers needed is usually distributed with the form of heterogeneous knowledge pieces that should be reorganized according to the scenarios of occurrent emergency problems. Knowledge pieces, like micro-view ontologies, are defined as typed categories. We present a categorical Pushouts based knowledge merging method to achieve the automatic and semantics oriented reorganization on knowledge pieces. Drawing on the experiences of V-alignment and W-alignment, These Pushouts of functors are glued via merging common diagrams from typed composition rules to yield bridge knowledge pieces, and this successive process is recursive to a single, merged knowledge piece.
Bringing the Wiki-Way to the Semantic Web with Rhizome

The Wiki and the Semantic Web can be compared as two different approaches to capturing knowledge, where the former trades away precise, explicit, and internally consistent semantics for speed and simplicity. Any attempt to bridge these two approaches has to either somehow reconcile these trades-off or make compromises one way or the other. This paper describes how Rhizome, an open source application framework for developing “Semantic Wiki” applications, attempts to bridge these approaches. Rhizome includes a text formatting language called ZML whose syntax is similar to text formatting languages found in most Wikis but with enhancement to make it easy for users to express explicit and arbitrary semantics. Rhizome relies on “shredding”, a flexible framework for specifying rules for characterizing semi-structured content with RDF and providing an ontology that can precisely describe the relationship between the source content and the resulting statements.
Observations of spatial fl ow patterns at the coral colony scale on a shallow reef fl at

[1] Although small-scale spatial flow variability can affect both larger-scale circulation patterns and biological processes on coral reefs, there are few direct measurements of spatial flow patterns across horizontal scales <100m. Here flow patterns on a shallow reef flat were measured at scales from a single colony to several adjacent colonies using an array of acoustic Doppler velocimeters on a diver-operated traverse. We observed recirculation zones immediately behind colonies, reduced currents and elevated dissipation rates in turbulent wakes up to 2 colony diameters downstream and enhanced Reynolds stresses in shear layers around wake peripheries. Flow acceleration zones were observed above and between colonies. Coherent flow structures varied with incident flow speeds; recirculation zones were stronger and wakes were more turbulent in faster flows. Low-frequency (<0.03Hz) flow variations, for which water excursions were large compared with the colony diameters (Keulegan-Carpenter number, KC >1), had similar spatial patterns to wakes, while higher-frequency variations (0.05–0.1Hz, KC< 1) had no observable spatial structure. On the reef flat, both drag and inertial forces exerted by coral colonies could have significant effects on flow, but within different frequency ranges; drag dominates for low-frequency flow variations and inertial forces dominate for higherfrequency variations, including the wave band. Our scaling analyses suggest that spatial flow patterns at colony and patch scales could have important implications for both physical and biological processes at larger reef scales through their effects on forces exerted on the flow, turbulent mixing, and dispersion.
REVIEW ON THE BLOOD BRAIN BARRIER AND DRUG THERAPEUTICS

The relationship between the BBB permeability and the lipid solubility of anions transported solute follows exactly the relationship predicted by studies with artificial lipid bilayers. Thus, highly polar compounds such as mannitol penetrate the barrier very slowly, whereas lipid-soluble compounds such as butanol penetrate so rapidly that they are completely extracted from the blood by the brain during a single pass through the cerebral circulation. The foregoing discussion emphasizes that the BBB is formed by a cell layer with different properties of the membranes on either side. These cells also have an intracellular cytoplasm and organelles containing specific enzymes that play an important role in BBB function. It is necessary to transport therapeutic agents across the specialized vascular system of the brain, the blood–brain barrier (BBB), which can present formidable challenges It is necessary to transport therapeutic agents across the specialized vascular system of the brain, the blood–brain barrier (BBB), which can present formidable challenges to the drug therapeutics.
Boosting proportional hazards models using smoothing splines, with applications to high-dimensional microarray data

MOTIVATION An important area of research in the postgenomics era is to relate high-dimensional genetic or genomic data to various clinical phenotypes of patients. Due to large variability in time to certain clinical events among patients, studying possibly censored survival phenotypes can be more informative than treating the phenotypes as categorical variables. Due to high dimensionality and censoring, building a predictive model for time to event is more difficult than the classification/linear regression problem. We propose to develop a boosting procedure using smoothing splines for estimating the general proportional hazards models. Such a procedure can potentially be used for identifying non-linear effects of genes on the risk of developing an event. RESULTS Our empirical simulation studies showed that the procedure can indeed recover the true functional forms of the covariates and can identify important variables that are related to the risk of an event. Results from predicting survival after chemotherapy for patients with diffuse large B-cell lymphoma demonstrate that the proposed method can be used for identifying important genes that are related to time to death due to cancer and for building a parsimonious model for predicting the survival of future patients. In addition, there is clear evidence of non-linear effects of some genes on survival time.
Camera based Relative Motion Tracking for Hand-held Virtual Reality

In this paper, we present a vision based relative tracking for use in hand-held virtual reality systems. Hand-held virtual reality system refers a virtual reality system that is self contained with a computer and multimodal sensors (e.g. 3D tracking, voice recognition, motion sensing, etc.) and feedback (e.g. graphic, sound, and tactile display) all hold-able in one hand. Relative tracking refers to an approximate tracking of the hand-held VR system (thus, the user’s hand or body) in relation to the environment. Such relative tracking of the user’s body can be used for various interaction tasks and induce a whole body experience in contrast to simply using the “arrow” buttons. The vision based relative tracker uses one camera (and without any environment markers or landmarks) to first select and capture distinct features from the incoming images and calculates the approximate directions and amounts of their motion, including translation, rotation and zoom. This in turn can be used to infer the motion of the user. Using such a tracker, the user can, for instance, navigate through a virtual environment seen through the hand-held VR display and select objects through physical metaphors. We also compare such body based interface to the usual button-based one in terms of performance and preference through a usability study. CR
Design of a Functional Size Measurement Procedure for a Model-Driven Software Development Method *

The capability to accurately quantify the size of software developed with a Model-Driven Development (MDD) method is critical to software project managers for evaluating risks, developing project estimates, and having early project indicators. This paper presents a measurement procedure defined according to the last version of the ISO 19761 standard measurement method. The measurement procedure has been designed to measure the functional size of object-oriented applications generated from their conceptual models by means of model transformations. The measurement procedure is structured in three phases: the strategy phase, where the purpose of the measurement is defined; the mapping phase, where the elements of the conceptual model that contribute to the functional size are selected; and the measurement phase, where the functional size of the generated application is obtained.
Mosaic textile: wearable ambient display with non-emissive color-changing modules

Mosaic Textile is a wearable ambient display using non-emissive color-changing textiles. The system consists of textile modules, their controllers and substrate fabric. The textile module is called "Fabcell" (fabric element) and is composed of conductive yarns and liquid crystal ink. Combining fabcells, as if they are used as pixels, produces real-space ambient display. Different from emissive flexible display such as organic EL, dynamic graphics using non-emissive color-changing textiles actualizes hospitable and aesthetic information display, blending in with environment. Our method will be expected to design brand-new communication media intended for fabric artificial materials, used for fashion and interior decoration.
SERPWatcher: A Sophisticated Mining Tool Utilizing Search Engine Results Pages (SERPs) for Social Change Discovery

As various individuals and organizations disseminate information on their Web pages, real-world social events and changes are considered to be reflected in Web trends. The billions of Web pages that now exist are retrieved by Web search engines which accept keywords and return a search engine results page (SERP). Since the SERP itself and the ranking order change with time reflecting the changes in society, it might be possible to accurately follow the movement of society by mining SERPs. This paper reports the design and implementation of a SERP mining tool named SERPWatcher. It provides sophisticated interfaces and functions for SERP miners in the field of social sciences to discover social changes. It could be a novel social survey method in that it totally differs from the traditional methods such as questionnaires and interviews. A research prototype of SERPWatcher is currently under operation, and its validation test shows that it has a fail-safe nature in the sense that social changes are mirrored on the changes of the SERP ranking order. Also, the testers conducting gender studies have been expressing positive opinions on the use of SERPWatcher as a novel research methodology in the field of sociology.
On the Configuration-LP of the Restricted Assignment Problem

We consider the classical problem of S cheduling on U nrelated M achines . In this problem a set of jobs is to be distributed among a set of machines and the maximum load (makespan) is to be minimized. The processing time pij of a job j depends on the machine i it is assigned to. Lenstra, Shmoys and Tardos gave a polynomial time 2-approximation for this problem [8]. In this paper we focus on a prominent special case, the R estricted A ssignment problem, in which pij ∈ {pj, ∞}. The configuration-LP is a linear programming relaxation for the R estricted A ssignment problem. It was shown by Svensson that the multiplicative gap between integral and fractional solution, the integrality gap, is at most 2 − 1/17 ≈ 1.9412 [11]. In this paper we significantly simplify his proof and achieve a bound of 2 − 1/6 ≈ 1.8333. As a direct consequence this provides a polynomial (2 − 1/6 + ϵ)-estimation algorithm for the R estricted A ssignment problem by approximating the configuration-LP. The best lower bound known for the integrality gap is 1.5 and no estimation algorithm with a guarantee better than 1.5 exists unless P = NP.
Simple algorithm for factorized dynamics of the -automaton

We present an elementary algorithm for the dynamics of recently introduced soliton cellular automata associated with quantum affine algebra Uq(n) at q = 0. For n = A(1)n, the rule reproduces the ball-moving algorithm in Takahashi-Satsuma's box-ball system. For non-exceptional n other than A(1)n, it is described as a motion of particles and anti-particles which undergo pair-annihilation and creation through a neutral bound state. The algorithm is formulated without using representation theory or crystal basis theory.
Optimal Mixed-Integer Programming and Heuristic Methods for a Bilevel Stackelberg Product Introduction Game

J. Cole Smith Department of Industrial and Systems Engineering University of Florida Gainesville, FL 32611-9565, cole@ise.ufl.edu, http://www.ise.ufl.edu/cole Churlzu Lim Engineering Management Program University of North Carolina at Charlotte Charlotte, NC 28223, clim2@uncc.edu, http://www.coe. uncc.edu/mem/churlzu Aydin Alptekinoglu Department of Decision and Information Sciences University of Florida Gainesville, FL 32611-7169, aalp@ufl.edu, http://bear.cba. ufl.edu/aalp
FPGA-based convolutional neural network accelerator design using high level synthesize

Convolutional Neural Networks are well known for their outstanding results in recent years in computer vision applications. Two hardware architectures for implementing these networks are proposed. The first one is more application specific which is suitable for smaller convolutional networks and the second one is more extendable and can be easily used for larger networks. A new method for computing hyperbolic tangent activation function is proposed to reduce computation time. LeNet convolutional network architecture is implemented to recognize handwritten digits using MNIST dataset as a sample. With the proposed architectures, it is indicated that latency is reduced while maintaining accuracy. Experiments are done on Xilinx Zynq FPGA using High Level Synthesis.