Miracle-dz/UniFAR-FTUs huggingface dataset:
Flounder stock enhancement in Miyako Bay , Japan

This paper reviews the flounder stock enhancement programme around Miyako Bay, Japan, during the period from 1980 to 1995 focusing on the stocking effectiveness of the nine releases from 1987 to 1995 evaluated by the fish census at Miyako Fish Market. We analysed the data of all landed flounder for 132 months from June 1988 to May 1999. A total of 368 986 flounder were landed, of which 106 331 (28.8%) were hatchery-produced and 262 655 (71.2%) were naturally produced fish. Return rates ranged from 5.9 percent to 23.3 percent, with average of 12.2 percent. Estimates of economic efficiencies were between 0.46 and 2.53, and seven releases exceeded the break-even point of 1.0. Flounder release was found to be economically feasible when sound juveniles were released in August and early September. Release of large-sized juveniles proved advantageous for high return rates. The most efficient size at release was detected at total length (TL) of 90 mm. The stock enhancement programme was considered to augment fishery production without displacement of natural fish. The stocking programme raised awareness among the fishers of the need to conserve small fish, which enabled a regulation to be implemented that prohibited catching flounder of body length under TL 30 cm. The yield per release ranged from 15.7 to 75.5 g before this regulation was begun, and was raised to 89.8 g in 1995 after its implementation, showing that the regulation worked effectively both for hatchery and natural flounders and improved the yield per release/recruit. General lessons, strengths and weaknesses, future prospects and limitations to the programme are discussed. INTRODUCTION The stock enhancement programme of marine resources in Japan, supported by the Japanese Government, began in 1963 by targeting important commercial coastal fishery resources. The programme has been reviewed, focusing on its organization (Imamura, 1999) and stocking effectiveness (Kitada, 1999). Flounder is one of the main target species of the programme. The number of annually released juvenile flounder exceeded one million in 1980 and 30 million fish were released from 37 of 39 prefectures facing Japan's coastal waters (Anon., 2000a). Chapter 6 new.indd 171 31/3/05 9:57:26 am
No 8 NEW PARAMETERS FOR NUCLEAR CHARGE RADIUS FORMULAS

Parameters of widely used nuclear rms charge radius formulas have been refitted based on the latest experimental data for about 900 nuclei. It has been seen that the new parameters in the formulas give better results than the previous ones. Besides, an N-dependent formula has been proposed and discussed. This formula gives effective results for rms charge radius. The standard deviation in all formulas with new parameters are concentrated between −0.1 and 0.1. In other words, for about 90% of nuclei, the differences of charge radii from experimental values are lower than 0.1 fm.
Electric load forecasting using dual-stage attention network with cosine annealed warm restart schedule

Time-series prediction refers to predicting the future values using current and past information. Capturing long-term dependencies play an essential role in time-series prediction problems. In this paper, a time-series model using dual-stage attention-based recurrent neural network is used to solve the electric load forecasting problem. In the proposed model, the first stage has an input attention mechanism that selects the relevant features from the multiple inputs. In the second stage, a temporal attention mechanism selects the relevant hidden states. To improve the prediction performance, a cosine annealing schedule with restart is used, which results in faster convergence. Multiple input driving series are derived from the dataset, which further improve the prediction performance. The prediction performance of the proposed method is compared with locally weighted regression (LWR), support vector regression (SVR), and locally weighted SVR (LWSVR) methods using the hourly load and temperature dataset. The results evaluated using the forecasting accuracy criteria, namely mean absolute error (MAE), mean absolute percentage error(MAPE), and mean squared error (MSE), show that the proposed model gives superior performance compared with other published models.
Biometric authentication and template protection using visual cryptography and watermarking

Biometric system offer reliable personal identification but there are a lot of vulnerabilities associated with it like template modification,template tampering etc. Normally, biometric data are transmitted through a non secure channel.So the transfered biometric data should be properly authenticated. This paper suggests an entire protection for the iris biometrics in two stages: the primary step is to preserve iris image while the other is for securing the iris template. For preserving the captured iris image in the system,some unique information will be inserted in the middle band frequency of the image as watermark using a watermarking algorithm which works in the concept of Discrete wavelett Transform (DWT). Secondly, to protect the iris template,the binary format of the template will be converted to two parts called shares using some visual cryptographic techniques. And then one share will be stored somewhere in the dataset of the system and the other share will be given to the user. As an additional layer of security, the secure hash function SHA-2 is used to conserve the robustness of the iris template which is stored in both the database and with the user,usually in smart cards. And hence this system ensures the total security to the iris image. Keywords—Template tampering, Watermark, Iris Template Protection, Discrete wavelet transform, Visual Cryptography,SHA-2.
Decentralized and Parallel Constructions for Optimally Rigid Graphs in R 2

In this paper, we address the decentralized and parallel construction of rigid graphs in the plane that optimize an edgeweighted objective function under cardinality constraints. Two auction-based algorithms to solve this problem in a decentralized fashion are first proposed. Centered around the notion of leader election, the first approach finds an optimal solution through a greedy bidding, while the second approach provides a sub-optimal solution which reduces complexity according to a sliding mode parameter. Then, by exploiting certain local structural properties of graph rigidity, a parallelization to build a portion of the optimal solution in constant time is derived. A theoretical characterization of algorithm performance is provided together with complexity analysis. Finally, simulation results are presented to corroborate the theoretical findings.
A Hybrid Topology Wireless Power Transfer System with Constant Current or Constant Voltage Output for Battery Charging Application

In this paper, a wireless power transfer system based on hybrid compensation topology for the battery charging application is presented. The power circuit is composed of LCL-LCL topology and LCL-LC/CL topology. The double-LCL topology provides load independent current output and LCL-LC/CL compensation topology provides load independent voltage output for the process of the battery charging. The operating frequency of the transmitter converter is kept constant during the whole charging process. In addition, the output voltage of the transmitter converter is a full square wave and the phase shift angle is always zero. The variation of the charging mode from the Constant Current (CC) to Constant Voltage (CV) is performed using a switch at the receiver side and without a communication path between the transmitter and receiver. The circuit analysis and design considerations are discussed in this paper. The simulation results shows good coherence with the theoretical analysis.
MODEL PREDICTIVE CONTROL OF A TWO-WHEELED ROBOT

Two-wheeled robots, with two wheels located coaxially on either side of the robot and centre of mass above the wheel axles, are statically unstable systems. This paper applies linear model predictive control (MPC) as an effective control strategy which allows constraints to be specified. The MPC controller predicts future states to avoid control input exceeding motor current and voltage limits, which would otherwise result in the system becoming unstable. To account for the non-linearity of the two-wheeled robot, the constraint tightening method is used – a sufficiently large margin is reserved to regulate any difference between the internal linear model and the true non-linear model. The model predictive controller is compared to a linear-quadratic regulator (LQR) in simulation. While the LQR response becomes unstable for aggressive reference speed inputs, the MPC controller can successfully operate the robot within speed and acceleration limits to ensure continued stability.
INDIVIDUAL BRAINSTORMING PERFORMANCE AS A FUNCTION OF VELOCITY AND COMPARISON FEEDBACK

This experimental research aimed to investigate the effect of velocity (control vs. velocity) and comparison (control vs. comparison) on the idea generation performance of individual brainstormers. The participants in the velocity condition were led to write down their ideas as quick as possible, whereas those in the control received no such instruction. Those in the comparison condition were informed that their performance would be compared with someone similar to them, whereas those in the control one received no such feedback. After that, all they brainstormed on the ways to improve the student life in the university for 12 minutes session. Findings showed that those in the velocity condition and comparison one generated more ideas than their counterparts. These effects were mediated by only flexibility. These findings suggest that even though both provision of comparison and velocity were beneficial to idea generation, underlying mechanisms for the effects of these variables on the idea generation performance were the same.
Preliminary Ideas for a Self-Calibrating Speaker / Microphone Array ( CONFIDENTIAL )

The problem of a self-calibrating speaker and microphone array is considered. Each speaker in the array is assumed to have local processing power and the ability to communicate acoustically with all other speakers and microphones. This paper describes a preliminary high-level system design, including a proposed algorithm for computing array geometry from measured inter-speaker and speaker-to-microphone distances.
Localization and characterization of simple defects in ﬁnite-size photonic crystals

Structured materials like photonic crystals require for optimal use a high precision both on position and optical characteristics of the components which they are made of. Here, we present a simple tomographic algorithm, based on a speciﬁc Green’s function together with a ﬁrst-order Born approximation, which enables us to localize and characterize identical defects in ﬁnite-size photonic crystals. This algorithm is proposed as a ﬁrst step to the monitoring of such materials. Illustrative numerical results show in particular some possibility of focalization beyond the Rayleigh criterion.
Enhanced Fault Localization by Weighting Test Cases with Multiple Faults

Fault localization is known to be one of the most time-consuming and difficult tasks in the debugging process. Many fault localization techniques have been proposed to automate this step, but they have generally assumed the singlefault situation, which reduces the performance when multiple faults are encountered. This paper proposes new weighting techniques to improve the effectiveness of spectrum-based fault localization by using information extracted from failed test cases that were caused by multiple faults. We evaluate the performance of our technique with six different metrics using the Siemens test suite and space with 159 multiple-fault versions. Based on the experimental study, we observe that our technique outperforms the baselines, in terms of the average expense maximum, by 12 %.
1 . 12 MEASURED AND MODELED WIND FIELDS IN AN URBAN ENVIRONMENT

The Joint Urban 2003 (JUT) project, a cooperative undertaking to study turbulent transport and dispersion in the atmospheric boundary layer conducted in Oklahoma City in the summer of 2003, afforded the U.S. Army Research Laboratory (ARL) the opportunity to leverage our measurement capabilities to increase our understanding of turbulent wind in an urban environment. Our measurement campaign is outlined in a companion paper. In this paper we concentrate on the boundary layer winds measured in this environment and compare these observations with wind fields produced by a threedimensional boundary layer wind model developed at ARL. The model was developed to meet the requirement of rapid real time simulation on a PC platform. The model uses the wind profiles from measurements or a larger scale model together with urban structure data including building locations, shapes, sizes, and heights to produce a high-resolution diagnostic wind field in the domain of interest. Comparisons between the model results and a number of the measurements obtained during the field campaign are described.
Short-Term Load Forecast in Power Systems: A Comparison of Different Practical Algorithms

Electricity demand forecasting has significant impact on planning and operation of a power system. Parameters that affect short and long-term load forecasting are the temperature, calendar day, geographical variations, gross national product, socio-demographic trends, energy efficiency etc. The weather conditions seriously affect load demand on short term. This paper focuses on a comparison of different practical methodologies for short-term load forecast and their application and implementation on real load demand and temperature data for Republic of North Macedonia. The paper provides detailed comparison of several practical algorithms for short-term load forecast: polynomial and sinuses regression, machine learning and artificial neural networks. The power load is considered from the aspect of two variables – temperature and calendar date. A case study is presented and results are discussed and analysed. Finally, conclusion and recommendations are presented.
Establishment of in vitro Culture of Musa AA Group ‘ Kluai Sa ’ and Musa AA Group ‘ Kluai Leb Mue Nang ’ and the Analysis of Ploidy Stability

The use of shoot tip culture for ‘Kluai Sa’ (Musa AA group ‘Kluai Sa’) and ‘Kluai Leb Mue Nang’ (Musa AA group ‘Kluai Leb Mue Nang’) banana plant propagation is described. Excised shoot apices were cultured on MS (Murashige and Skoog, 1962) medium supplemented with 3 mg/l BA (6-Benzyladenine) and then transferred to MS medium containing 100 mg/l casein hydrolysate, 15% CW (Coconut water) and various concentrations of BA. The maximum shoot numbers were obtained on the medium containing 5 mg/ l BA with 4.9 shoots in ‘Kluai Sa’ and 5.5 shoots in ‘Kluai Leb Mue Nang’. Root and callus formation were achieved when shoot buds were planted on MS media containing various concentrations of NAA (1Naphthaleneacetic acid) in combination with 5 mg/l BA. Adventitious shoots were also regenerated from calli that were cultured on MS medium containing 5 mg/l BA and 0.1 mg/l NAA. All regenerated shoots rooted well on MS medium either supplemented with or without 0.2% activated charcoal. More than 95% of the surviving plantlets were acclimatized and successfully transferred into soil. Cytological and flow cytometric analyses of the mother plants and micropropagated plants derived from 2 years-old cultures of both cultivars showed no differences in ploidy level, they were all diploid (2n = 2x = 22) with a 2C peak.
Effect of Ginkgo biloba leaf extract on preservation of “ Shatang ” Orange Journal of Environmental Biology

In order to study the effect of Ginkgo biloba leaf on preservation of orange, fresh “Shatang” -1 -1 -1 orange were stored at 16oC after dipping in extract concentration of 25 g l , 12.5 g l and 6.25 g l , with sterile water as control group. The weight loss, firmness, soluble solids contents, titratable acid contents, Vitamin C contents, flavonoid contents and total phenol contents of orange were measured every 2 days during storage period.
The Evaluation of Dyspnea in Elderly Patients with Advanced Non-Small-Cell-Lung Cancer Receiving Palliative Chemotherapy

Background: Therapeutic decisions in lung cancer patients are in great part based on ECOG performance status. Little is known, however, what is the relation between dyspnea and ECOG performance status. The aim of the study was to elucidate to what extent dyspnea influences ECOG performance status in the elderly patients with the with advanced Non-Small Cell Lung Cancer (NSCLC) and whether dyspnea may be considered as a factor influencing the results of palliative chemotherapy. Material and Methods: Material of the study consisted of 27 patients aged over 65 years with advanced NSCLC scheduled for the first-line palliative chemotherapy. The following studies were performed: spirometry, Modified Medical Research Council (mMRC) questionnaire, Six Minutes Walk Test (6MWT), Borg dyspnea scale, and COPD Assessment Test (CAT). After removing from CAT 3 items not related to dyspnea (cough, phlegm and sleep), the remaining 5 questions were analyzed as modified CAT, i.e. mCAT. Results: Dyspnea was a complaint of 78% of patients. The patients with ECOG 1/ECOG 2 performance status had higher mMRC and CAT scores than the patients with ECOG 0 performance status. mCAT score was almost 2.5 times higher in the patients with ECOG 1/ECOG 2 than in the patients with ECOG 0 performance status (13.0 ± 5.1 vs. 5.1 ± 5.1, p <0.001). Score of mCAT positively correlated with the score in mMRC scale (r = 0.68, p <0.05) and Borg scale at rest (r=0.390, p <0.05) and negatively correlated with the distance in the 6MWT (r = -0.56, p <0.05). Non-completion of chemotherapy was associated with smaller FEV1 and FVC, shorter distance in 6MWT and more severe dyspnea in the Borg scale. Conclusion: Dyspnea is a complaint of the majority of elderly patients with advanced NSCLC patients and is more severe in the patients with the performance status higher than ECOG 0. 6MWT and modified CAT are the best tools to evaluate dyspnea in the elderly patients with advanced NSCLC. The evaluation of dyspnea may help to assess the performance status in the elderly patients with advanced NSCLC. Objective measure of dyspnea, i.e. shortened distance in 6MWT, may allow to predict unfavorable course of the palliative chemotherapy in the elderly patients with advanced NSCLC.
GNC for a Rendezvous in Space with an Uncooperative Target

This paper describes a conceptual GNC system layout and presents preliminary performance results for a rendezvous with a disused but known space vehicle, i.e. the knowledge of the S/C geometry is exploited by the navigation dedicated onboard image processing. First the typical mission segments and corresponding GNC requirements are summarized. Thereafter a preliminary GNC system layout for the chaser spacecraft in accordance to the mission needs is presented. For the GNC description focus is given to the image based navigation over the complete approach distance. In the proposed concept, a video camera has been selected as the primary navigation sensor for far range distance, a laser scanning system (3D-LIDAR) provides the required measurements for mid-range and the same sensor, while operating in the 3D modus, serves as the primary sensor in close range distances. In the 3D modus the 3D-LIDAR provides a point cloud, which is used for pose estimation. The preliminary performance of the image processing algorithms has been tested in both, a simulation environment and with real sensors in a test facility. Finally the laboratory environment for navigation design and analysis including the use of a test facility for sensor testing is briefly described.
S UPPORT AND S ERVICES AT H OME ( SASH ) E VALUATION : Evaluation of the First Four Years

This evaluation report describes the implementation and impacts of a program intended to improve health status and slow the growth of health care expenditures among older adults living in affordable housing properties. The Support and Services at Home (SASH) program connects participants with community-based services and promotes coordination of health care. In July 2011, the SASH program was launched in Vermont; and by June 2015, the latest date for this analysis, the program had expanded to include 54 panels and 4,741 participants across the state who had spent at least 3 months in the program. Our analysis combines findings from interviews with SASH staff members and key stakeholders, a survey of SASH participants, and an analysis of Medicare claims data. The SASH program faced challenges in expanding beyond the affordable housing properties and into the community. Highlighted successes included the partnerships formed with other organizations and the training program for SASH staff. Another notable success reported was the program’s ability to help participants remain in their homes, in terms of both allowing participants to age in place as their health and functional needs increase and helping participants avoid eviction. Self-reported health status and functioning were higher for SASH participants relative to the survey comparison group, and SASH participants reported fewer problems managing multiple medications. Overall, we do not find that the SASH program had a significant impact on the growth of Medicare expenditures. However, among participants enrolled in SASH panels established before April 2012 (early panels, representing 40% of SASH participants with Medicare living in affordable housing properties), growth in annual Medicare expenditures was slower by an estimated $1,227 per-beneficiary per year. These same beneficiaries in the early panels also had lower rates of hospitalization and slower rates of growth for hospital and specialty physician costs.
Question : What is on the plate ? S of tm ax Linear Tanh ResNet Faster-RCNN GRU Linear Tanh

Recently, the Visual Question Answering (VQA) task has gained increasing attention in artificial intelligence. Existing VQA methods mainly adopt the visual attention mechanism to associate the input question with corresponding image regions for effective question answering. The freeform region based and the detection-based visual attention mechanisms are mostly investigated, with the former ones attending free-form image regions and the latter ones attending pre-specified detection-box regions. We argue that the two attention mechanisms are able to provide complementary information and should be effectively integrated to better solve the VQA problem. In this paper, we propose a novel deep neural network for VQA that integrates both attention mechanisms. Our proposed framework effectively fuses features from free-form image regions, detection boxes, and question representations via a multi-modal multiplicative feature embedding scheme to jointly attend question-related free-form image regions and detection boxes for more accurate question answering. The proposed method is extensively evaluated on two publicly available datasets, COCO-QA and VQA, and outperforms state-of-the-art approaches. Source code is available at https://github. com/lupantech/dual-mfa-vqa.
The size distribution of ‘cities’ delineated with a network theory‐based method and mobile phone GPS data

We delineate “cities” independent of administrative boundaries in Japan by using a network theory-based method and GPS-based human mobility data. We divide the country into approximately 1×1 km cells and detect the partition of cells that is optimal from the perspective of information theory. The resulting groups of cells are specified as cities. We find that the combination of two lognormal distributions better fits the city size distribution compared with the distribution with a Pareto upper tail. Moreover, we show that a jump diffusion process is the stochastic process of the city population underlying such a distribution. JEL classification: R12; C46; C55.