Miracle-dz/UniFAR-FTUs huggingface dataset:
Gyroscope-Based Continuous Human Hand Gesture Recognition for Multi-Modal Wearable Input Device for Human Machine Interaction

Human hand gestures are a widely accepted form of real-time input for devices providing a human-machine interface. However, hand gestures have limitations in terms of effectively conveying the complexity and diversity of human intentions. This study attempted to address these limitations by proposing a multi-modal input device, based on the observation that each application program requires different user intentions (and demanding functions) and the machine already acknowledges the running application. When the running application changes, the same gesture now offers a new function required in the new application, and thus, we can greatly reduce the number and complexity of required hand gestures. As a simple wearable sensor, we employ one miniature wireless three-axis gyroscope, the data of which are processed by correlation analysis with normalized covariance for continuous gesture recognition. Recognition accuracy is improved by considering both gesture patterns and signal strength and by incorporating a learning mode. In our system, six unit hand gestures successfully provide most functions offered by multiple input devices. The characteristics of our approach are automatically adjusted by acknowledging the application programs or learning user preferences. In three application programs, the approach shows good accuracy (90–96%), which is very promising in terms of designing a unified solution. Furthermore, the accuracy reaches 100% as the users become more familiar with the system.
Separation of R & D Processes in a Biopharmaceutical R &

Abstract: This paper describes the R&D productivity of a biopharmaceutical company, with emphasis on separation of the research and development processes. Many previous studies focus pharmaceutical R&D, but they focus low-molecular compound drug only. The pharmaceutical R&D can be divided into the research and the development processes. The research process is the process to seek a NCEs (New Chemical Entities) or NBEs (New Biological Entities) candidate protected by patents. On the other hand, the development process makes one of the NCEs or NBEs into a new drug. For this reason, we analyze not only the research process but also the development process.
Characterization of VR118 quinacrine derivative as a potential anticancer agent

iii ACKNOWLEDGEMENT iv TABLEOF CONTENTS v LIST OF TABLES vviii LIST OF FIGURES ix LIST OF ABBREVIATIONS x Chapter 1 1 1 INTRODUCTION 1 1.1 Cancer Epidemiology 1 1.2 Anticancer Therapies 2 1.3 Mechanism of Action of Chemotherapeutic Drugs 2 1.4 Need for New Therapies 4 1.5 Targeted Cancer Therapies 5 1.6 Quinacrine as a Therapeutic Agent 7 1.7 Anticancer Properties of Quinacrine 9 1.8 Apoptosis 10 1.9 Ratio of Anti-Apoptotic and Pro-Apoptotic Factors Decides the Fate of a Cell . 12 1.10 Pharmaco-dynamics of Quinacrine 12 1.11 P53 and NF-κB Pathways are Often Deregulated in Cancer Cells 13 1.12 Quinacrine Inhibits NF-κB 14 1.13 Quinacrine Activates P53 15 1.14 Quinacrine Inhibits AKT Signaling Pathway 15 1.15 Quinacrine Disrupts Arachidonic Acid Pathway 16
Enhanced efficiency in InGaN‐based photovoltaic devices combined with nanocrystalline Bi2O3/P3HT heterojunction structures

This study experimentally investigates the ability of Bi2O3/P3HT heterojunction thin films to improve the power‐conversion efficiency of InGaN‐based photovoltaic (PV) devices. InGaN‐based PV devices combined with Bi2O3/P3HT heterojunctions were prepared using the pulsed laser deposition method. The Bi2O3/P3HT heterojunction creates carriers that combine with excitons through the light‐absorbance process, which enhances the power‐conversion efficiency of InGaN PV devices by approximately 36%. Thus, these Bi2O3/P3HT heterojunctions can provide an efficiency improvement in InGaN PV devices and other related solar‐cell applications.
Comparison of the Valuations of Alternatives Based on Cumulative Prospect Theory and Almost Stochastic Dominance

There are commonly accepted and objective decision rules, which are consistent with rationality, for example the stochastic dominance rules. But, as can be seen in many research studies in behavioural economics, decision makers do not always act rationally. Relatively new tools which model real choices are the cumulative prospect theory rules and the almost stochastic dominance rules. Both models take into account some behavioural factors. The aim of this paper is to explore the consistency between the valuation of random decision alternatives based on cumulative prospect theory and almost stochastic dominance. Both criteria allow the comparison of all elements of the set of random decision alternatives. In a case of the almost second stochastic dominance, it is possible due to its particular properties, which the ordinary stochastic dominance rule does not possess.
ARTIFICIAL NEURAL NETWORKS FOR MATERIAL CLASSIFICATION IN PURCHASING PORTFOLIO MANAGEMENT

Abstract. Strategic sourcing is an important technique within supply chain management area that allows companies to understand their purchasing portfolio and to better take advantage of their bargain power versus key suppliers, reducing supply risks to an acceptable minimum. The Kraljic portfolio matrix is an important model for evaluating materials and services categories in two main aspects: the importance of a particular purchasing and the complexity of the supply market. Although, the classification phase can present a hard task depending on the number of materials and the complexity of a specific portfolio. In this context, the present work proposes the application of machine learning classifiers – artificial neural network, extreme learning machine and K-nearest neighbors – for material grouping in a data set of 1,560 active items composing the electric and electronic portfolio components of a large Brazilian transportation company. Eight features are used for classifying material purchase and maintenance criticality. The artificial neural network presented an accuracy of 94.77% for purchase and 60.41% for maintenance classification. Keywords: strategic sourcing, kraljic portfolio matrix, supervised learning, classification problem, artificial neural network
Dynamical Characterization of a Low Oxygen Submesoscale Coherent Vortex in the Eastern North Atlantic Ocean

A submesoscale coherent vortex (SCV) with a low oxygen core is characterized from underwater glider and mooring observations from the eastern tropical North Atlantic, north of the Cape Verde Islands. The eddy crossed the mooring with its center and a 1 month time series of the SCV's hydrographic and upper 100 m currents structure was obtained. About 45 days after, and ∼100 km west, the SCV frontal zone was surveyed in high temporal and spatial resolution using an underwater glider. Satellite altimetry showed the SCV was formed about 7 months before at the Mauritanian coast. The SCV was located at 80-100 m depth, its diameter was ∼100 km and its maximum swirl velocity ∼0.4 m s-1. A Burger number of 0.2 and a vortex Rossby number 0.15 indicate a flat lens in geostrophic balance. Mooring and glider data show in general comparable dynamical and thermohaline structures, the glider in high spatial resolution, the mooring in high temporal resolution. Surface maps of chlorophyll concentration suggest high productivity inside and around the SCV. The low potential vorticity (PV) core of the SCV is surrounded by filamentary structures, sloping down at different angles from the mixed layer base and with typical width of 10-20 km and a vertical extent of 50-100 m.
Genetic variation and spatial autocorrelation among young-ofthe-year red snapper ( Lutjanus campechanus ) in the northern Gulf of Mexico

Temporal and spatial genetic variations at 18 nuclear-encoded microsatellites were assayed among age-0 Gulf red snapper (Lutjanus campechanus), sampled from the 2004 and 2005 cohorts in each of five regions in the northern Gulf of Mexico (Gulf) and from a mixed-age group sampled off northwest Florida. Hierarchical analysis of molecular variance revealed genetic heterogeneity among habitat patches within regions, but not among regions. A significant, positive spatial autocorrelation of microsatellite genotypes among fish sampled within the geographic range 50–100 km was detected. Bayesian coalescent analysis of historical demography indicated a decline of nearly an order of magnitude in the effective population size for red snapper across the area surveyed. The highest posterior probability for the current effective population size was 2163, approximately four orders of magnitude smaller than the estimates of red snapper census size. The results of the study demonstrate that spatial genetic structuring among young-of-the-year red snapper in the Gulf occurs at small geographic scales and is consistent with a metapopulation stock-structure model of partially connected populations. This accentuates the importance of maintaining healthy local spawning populations of red snapper in all regions across the northern Gulf.
Determining Revealed Comparative Advantage and Target Markets for Iran's Stone Fruits

This study investigated the export status of stone fruits in Iran during 1997 to 2010. Export trends and revealed comparative advantage of indices, namely, Revealed Comparative Advantage (RCA), Revealed Symmetric Comparative Advantage (RSCA), and Relative Export Advantage (RXA) as well as Trade Mapping (TM) were investigated for cherries, plums, peaches, and apricots. Target markets for these products were ranked using numerical taxonomies. The results showed that Iran had export's comparative advantage for stone fruits only in 2007 and 2010. But, this index had a positive growth for the stone fruits in those years, indicating an increasing trend in the export status of these products. Trade mapping analysis indicates that although the export market for these products has declined during the period studied, Iran has taken a greater share of the market and is among the winner groups. The principal export markets in decreasing order were found to be Germany, The UK, France, Italy, the Netherlands, Russia, Saudi Arabia, Bahrain, Switzerland, the UAE, and Afghanistan.
Precipitation Influences Pre- and Post-Emergence Herbicide Efficacy in Corn

Selecting a preemergence (PRE) and postemergence (POST) herbicide program that has the greatest efficacy can be difficult for corn producers and is highly dependent on weed spectrum. Weather conditions before and after herbicide application can further complicate decisions because they influence herbicide efficacy. Eleven field trials were conducted at three locations in Southwestern Ontario from 2003 to 2006, to determine the most effective PRE and POST corn herbicides for weed control. The most abundant weed species across all locations were redroot pigweed (Amaranthus retroflexus L.), common ragweed (Ambrosia artemisiifolia L.), common lambsquarters (Chenopodium album L.), and green foxtail (Setaria viridis (L.) Beauv. ). Nine PRE herbicide treatments and eleven POST (applied at the 3-4 leaf stage of corn) herbicide treatments were tested. Results from this study suggest that the timing and amount of precipitation influence herbicide efficacy. For example, precipitation levels 0-17 mm within seven days after herbicide application (PRE or POST) provided unacceptable weed control in treatments that included atrazine, dimethenamidp, isoxa-flutole/atrazine or S-metolachlor/benoxacor. Cumulative precipitation during the 14 days after PRE application that exceeded the monthly average (by at least 64%) reduced Setaria viridis control with pendimethalin. This study demonstrates that a better understanding of how environmental conditions, especially precipitation affect herbicide efficacy, need to be considered by growers when selecting a corn herbicide program to reduce the possibility of weed control failure.
DESIGN AND SIMULATION OF FUSED LUO CONVERTER

Among the available renewable energy resources, the wind and photo voltaic energy is being widely utilized because of their abundance and sustainability to generate electricity. In this paper, a new hybrid integrated topology, fed by AC supply and solar energy system is configured using Positive output Luo converter and negative output Luo converter. This configuration allows the two sources to supply the load separately or simultaneously together (Hybrid) depending on the availability of the energy sources. The main purpose of this hybrid is to meet our daily demand effectively and to get an uninterrupted power supply. By combining these two intermittent sources, the system’s power transfer efficiency and reliability can be improved significantly. Due to the inherent nature of this multi input converter, additional filters are not necessary to filter out high frequency harmonics and hence an enhanced output voltage with less ripples is obtained. Simulation results are given to highlight the merits of the proposed circuit.
Nutrient Requirements Serum Concentrations of Lipids , Vitamin D Metabolites , Retinol , Retinyl Esters , Tocopherols and Selected Carotenoids in Twelve Captive Wild Felid Species at Four Zoos 1

Serum concentrations of several nutrients were measured in 12 captive wild felid species including caracal (Felis caracal), cheetah (Acinonyx jubatus), cougar (Felis concolor), fishing cat (Felis viverrinus), leopard (Panthera pardus), lion (Panthera leo), ocelot (Felis pardalis), pallas cat (Felis manul), sand cat (Felis margarita), serval (Felis serval), snow leopard (Panthera uncia) and tiger (Panthera tigris). Diet information was collected for these animals from each participating zoo (Brookfield Zoo, Fort Worth Zoo, Lincoln Park Zoological Gardens and North Carolina Zoological Park). The nutritional composition of the diets at each institution met the probable dietary requirements for each species except for the pallas cat. Blood samples were collected from each animal (n 69) and analyzed for lipids (total cholesterol, triacylglycerides, HDL cholesterol and LDL cholesterol), vitamin D metabolites [25-hydroxycholecalciferol (25(OH)D) and 1,25-dihydroxycholecalciferol (1,25(OH)2D)], vitamin A (retinol, retinyl stearate and retinyl palmitate), vitamin E ( and -tocopherol) and selected carotenoids. Species differences were found for all except triacylglycerides and 1,25(OH)2D. Genus differences were found for retinol, retinyl palmitate, retinyl stearate, -tocopherol and -carotene. Circulating nutrient concentrations for many of the species in this study have not been reported previously and most have not been compared with the animals’ dietary intakes. The large number of animals analyzed provides a substantial base for comparing the serum nutrient concentrations of healthy animals, for both wild and captive exotic species. J. Nutr. 133: 160–166, 2003.
A visual study of the flow around an oscillating circular cylinder at low Keulegan-Carpenter numbers and low Stokes numbers

The structures of the flow induced by a circular cylinder performing sinusoidal oscillations in a fluid a t rest are investigated by means of flow visualization. The experiments are carried out a t Keulegan-Carpenter numbers between 1.6 and 15 and a t Stokes numbers between 5 and 160. Above a certain value of Keulegan-Carpenter number, depending on the Stokes number, some asymmetry appears in the flow separation and the associated vortex development behind the cylinder. The two vortices that are developed in a half cycle differ in strength and may be convected in different directions. This results in a fascinating set of flow patterns. Eight different regimes of flow can be identified within the ranges of Keulegan4arpenter number and Stokes number studied. Furthermore, most of the resulting flows show a three-dimensional instability along the axis of the cylinder. Measurements of the wavelength of these disturbances are presented.
Interoperable Cloud Networking for a Smarter Grid

The smart grid will rely upon the ability to moderate consumption through market-based pricing and loadreduction signaling. This requires that pricing and reliability signals be distributed securely and in near real-time to very large numbers of automation systems in homes, building and industries of all types, distributed over a wide geographical area through a wide variety of existing network infrastructures. Communications of this magnitude represents a significant challenge requiring compute and networking resources normally associated with large corporate data centers. This paper proposes that cloud computing technology has the functionality needed to provide the security, interoperability and performance required for large-scale smart grid applications at a significantly less cost than traditional data centers. This paper will review and analyze the benefits and limitations of several networking architectural patterns in use by cloud computing providers. These patterns will be presented in the context of customer interactions and providing a consistent flow of actionable dynamic pricing information, along with reliability and curtailment signals, from ISO/RTO’s (Independent Service Operators/Regional Transmission Organizations) through utilities and aggregators to residential, commercial and industrial consumers.
Towards a Reliable and Personalized Disaster Warning System

—The main goal of a disaster warning system is preventing loss of properties by providing suitable information to people who can be affected by disaster events. The challenges of a disaster warning system are geographically correlated characteristics of disaster events and user movements, multimodal communication channels of social connectivity, and unexpected large scale failures caused by disasters. To deal with the challenges, in this paper we propose a new design of a reliable and personalized disaster warning system to support city-wide mobile users. The proposed disaster warning system has three main components, namely, personality-aware location prediction, geo-social connectivity aware message generation, and failure-resilient geo-aware dissemination. Through the preliminary evaluation of each component, we show that the viability of the proposed disaster warning system.
Multivariate Gaussian Process Regression for Portfolio Risk Modeling : Application to CVA

Modeling counterparty risk is computationally challenging because it requires the simultaneous evaluation of all the trades with each counterparty under both market and credit risk. We present a multi-Gaussian process regression for estimating portfolio risk, which is well suited for OTC derivative portfolios, in particular CVA computation. Our spatiotemporal modeling approach avoids nested MC simulation by learning a ’kernel pricing layer’. The pricing layer is flexible we model the joint posterior of the derivatives as a Gaussian over function space, with the spatial covariance structure imposed only on the risk factors. Monte-Carlo (MC) simulation is then used to simulate the dynamics of the risk factors. Our approach quantifies uncertainty in portfolio risk arising from uncertainty in point estimates. Numerical experiments demonstrate the accuracy and convergence properties of our approach for CVA estimation.
Chapter 2 Immediate Implantation at Fresh Extraction Sockets

The term ‘osseointegration’ was first defined by Branemark in 1952. Osseointegration means direct connection between implant surface and live bone cells. At the beginning, the original protocol for installation of the dental implants was 6–8 months after extraction. After installation of the implant, waiting period for osseointegration time was 6 months for upper jaw and 3 months for the lower jaw. In 1990s, implant placement was mostly performed in 100% healed bone tissue. Today this approach has lost its dominance due to the evolution of the implant shape and surface features. Various studies show that immediate implantation has a 90–100% success in survival rate. However, primary stability of the implant at the fresh extraction socket still has a priority. Particularly after extraction of single root teeth implant, installation into the fresh extraction socket by filling the gap with graft materials come into prominence. Many types of graft materials can be used with or without plasma-rich materials like Plasma Rich Fibrin (PRF). Recent studies have shown that these kind of materials enhance the osteogenic regeneration. Immediate implantation proved that it reduces the total treatment time, prevents the loss of gummy tissues and gains esthetic success.
Effect of increasing amounts of a linoleic-rich dietary fat on the fat composition of four pig breeds . Part II : Fatty acid composition in muscle and fat tissues

This paper studies the change of fatty acid profile in four different tissues of the pig (backfat, abdominal fat, and the muscles trapezius and longissimus thoracis et lumborum) in response to four diets containing increasing amounts (0%, 2%, 4% and 8%) of a high linoleic acid fat blend, in a sample of 48 pigs of four different breeds (Landrace, Large White, Duroc and a crossbreed Landrace · Duroc). The effects of dietary fat and breed on this profile have been separately tested for each tissue. The diet effect (increasing % of linoleic acid intake) was positive on linoleic acid deposit in all tissues, meanwhile it was negative on palmitic and stearic levels, as well as for the oleic acid. However, this effect was clear in the four tissues for the linoleic acid, while the differences did not follow the same pattern for the saturated fatty acids in trapezius muscle and abdominal fat. Although the levels of arachidonic acid in muscle tissues were higher than those found in adipose tissues, the increasing effect of the diet was stronger, in relative terms, in adipose tissues. The breed effect was, in general, lower than the diet effect. Landrace showed the higher ability to increase linoleic acid levels, particularly in the loin (longissimus thoracis et lumborum), whereas Duroc pigs seemed to be the most resistant to change of fatty acid composition according to the diet. 2006 Elsevier Ltd. All rights reserved.
Spin state and spectroscopic modes of multiferroic BiFeO3

Spectroscopicmodesprovidethemostsensitiveprobeoftheveryweakinteractionsresponsibleforthepropertiesofthelong-wavelengthcycloidinthemultiferroicphaseofBiFeO3belowTN 640K.ThreeofthefourmodesmeasuredbyTHzandRamanspectroscopieswererecentlyidenti edusingasimplemicroscopicmodel.WhileaDzyaloshinskii-Moriya(DM)interactionDalong[ 1,2, 1]inducesthecycloidwithwavevector(2 /a)(0.5+,0.5,0.5 )( 0.0045),easy-axisanisotropyKalongthe[1,1,1]directionoftheelectricpolarizationPinduceshigherharmonicsofthecycloid,whichsplitthe1modesat2.49and2. 67meVandactivatethe2modeat3.38meV. How-ever,thatmodelcouldnotexplaintheobservedlow-frequencymodeatabout2.17meV. WenowdemonstratethatanadditionalDMinteractionD along[1,1,1]notonlyproducestheobservedweakferromagneticmomentofthehigh- eldphaseabove18Tbutalsoactivatesthespectroscopicmatrixelementsofthenearly-degenerate,low-frequency0and1modes,althoughtheirscatter-ingintensitiesremainextremelyweak.Evenintheabsenceofeasy-axisanisotropy,D producesharmonicsofthecycloidthatsplit1andactivate2.However,theobservedmodefrequenciesandselectionrulesrequirethatbothD andKarenonzero.Thisworkalsoresolvesanearlierdisagreementbetweenspectroscopicandinelasticneutron-scatteringmeasurements.