1,186 research outputs found

    The cognition of civil servants and citizens concerning policy resource allocation in Kaohsiung City in Taiwan

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    Kaohsiung City is a special municipality in Southern Taiwan. The difference between northern and southern cities in terms of public investments, industrial structures, and social perspectives has been a problem in Taiwan because talented people keep moving from the south to the north. The difference in cognition of government's allocation of policy resources between professional civil servants and the general public demonstrates the conflict between "public opinion" and "professionalism". This study adopted the social judgment theory (SJT) to examine the cognition of individuals affected by policy resource allocation regarding the allocation of policy resources made by the Government of Kaohsiung City. The SJT is applicable to real-world circumstances in the field of judgment and analysis. The research result indicated that the affected individuals were concerned that the government lost its focus when allocating policy resources. Obscure schemes and plans for policymaking and election-oriented decision making significantly impact government allocation of policy resources. The essential problem of policy resource allocation in Kaohsiung City is that although the supply of resources is higher than the demand, the types of resources do not meet the requirements of the demand

    Fairness measurement on procedural justice for policy making in Taiwan: A comparative study of Cijin Seaside Park and Tamsui Fisherman's Wharf

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    Public policies in a pluralistic society should be able to clarify and cope with the complicated nature of public issues dominated by multiple parties, multiple values, and subjective judgment. Therefore, instead of merely concluding with the outcome, we should also take input into account when evaluating resource allocation or assessing policy effectiveness. This research adopted fairness measurement approach of the Information Integration Theory (IIT) to analyze Cijin Seaside Park and Tamsui Fisherman's Wharf in Taiwan, and conducted procedural justice for policy-making. This dimension of procedural justice was based on the designs of input and outcome; the input was policy support and the outcome used the level of administrative cooperation as an assessment indicator. Twenty local merchants and twenty tourists were purposively sampled from each site. The study results indicated that the local merchants in both Cijin Seaside Park and Tamshi Fishers' Wharf fit the unequal-weight averaging rule of policy support factor. They also fit the unequal-weight averaging rule of the administrative cooperation factor. As for the tourists, those in both Cijin Seaside Park and Tamshi Fishers' Wharf fit the unequal-weight averaging rule of policy support factor. Also, they fit the unequal-weight averaging rule of the administrative cooperation factor

    On-shell approach to (spinning) gravitational absorption processes

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    We utilize three point amplitudes with (spinning) particles of unequal mass and a graviton to capture the dynamics of absorption processes. We demonstrate that the construction can represent the spheroidal harmonics appearing in the Teukolsky equations. The absolute square of the ``Wilson coefficients'' in this effective description can be fixed by matching to the known absorptive cross-sections. As an application, we compute corrections to the gravitational Compton amplitude from the exchange of states corresponding to such absorption effects. In the super-extremal limit, the corrections generate the non-analytic ∣a∣|a|-dependent contribution of the Compton amplitude found in ref.\cite{Bautista:2022wjf}.Comment: 32 pages, 2 figure

    Real value prediction of protein solvent accessibility using enhanced PSSM features

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    <p>Abstract</p> <p>Background</p> <p>Prediction of protein solvent accessibility, also called accessible surface area (ASA) prediction, is an important step for tertiary structure prediction directly from one-dimensional sequences. Traditionally, predicting solvent accessibility is regarded as either a two- (exposed or buried) or three-state (exposed, intermediate or buried) classification problem. However, the states of solvent accessibility are not well-defined in real protein structures. Thus, a number of methods have been developed to directly predict the real value ASA based on evolutionary information such as position specific scoring matrix (PSSM).</p> <p>Results</p> <p>This study enhances the PSSM-based features for real value ASA prediction by considering the physicochemical properties and solvent propensities of amino acid types. We propose a systematic method for identifying residue groups with respect to protein solvent accessibility. The amino acid columns in the PSSM profile that belong to a certain residue group are merged to generate novel features. Finally, support vector regression (SVR) is adopted to construct a real value ASA predictor. Experimental results demonstrate that the features produced by the proposed selection process are informative for ASA prediction.</p> <p>Conclusion</p> <p>Experimental results based on a widely used benchmark reveal that the proposed method performs best among several of existing packages for performing ASA prediction. Furthermore, the feature selection mechanism incorporated in this study can be applied to other regression problems using the PSSM. The program and data are available from the authors upon request.</p

    Solving Bluetooth deficiencies through publish and subscribe systems

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    Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.Includes bibliographical references (p. 85-87).Research in pervasive computing aims to fully integrate computing devices into our everyday environments in a seamless and efficient manner. Wireless technology such as Bluetooth takes us a step closer by replacing traditional cable connections with a more searnless communication transport, adding mobility and more human-centric computation. However, if we are to fully integrate this technology, we must first address some of its shortcomings, particularly those with respect to areas with a high density of Bluetooth devices. Four of these shortcomings: susceptibility to anonymous attacks, poor power management, synchrony requirement, and lack of friendships stem from the tight coupling of device interactions during the discovery protocol. One solution to this problem uses the advantages of publish and subscribe systems to decouple this interaction between smart mobile devices. Available devices can announce their availability to a central controller while devices interested in finding others can announce their interests. When a match occurs, the controller notifies both parties and provides information on how they can form a direct connection. This solution preserves the functionality of the Bluetooth connection protocol while circumventing the four shortcomings. The assumptions it makes are reasonable when placed in a the context of personal computing environment. Future considerations include optimizations that utilize caching, improvements on performance, increases in system capacity, and solutions for including dumb devices.by Jessica Yu-Tien Huang.M.Eng

    Impact analysis of model combined by hand-arm and golf club when striking ball

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    Golf is an extremely popular activity that over 60 million of people enjoy playing it. Overuse injuries associated with the back, neck, wrist, shoulder, elbow, knee, etc., are common for both professional and amateur player due to golf swing. A lot of researchers investigate the mechanical behavior of golf club or biological response of human body individually. But there is little study on the dynamic interaction between the hand-arm and golf club mashie (HAGCM) when striking ball. Solidworks package is used to draw the 3D geometric model of a left hand-arm contacted at the grip of the golf club. Then the 3D biomechanical model is imported into ANSYS software for transient (impact) analysis. Due to complicated geometry of the sharp edge at the club head and the hand-arm, the tetrahedral element is applied for all components of HAGCM to save computer resource during ANSYS process. Finite element convergence test is obtained before any further analysis. In order to simulate the ball-striking, the hitting surface of the club head is subjected to the impact force of 22 N within 0.01 seconds. All the deformations, principle and shear stresses of the time response found in the vibrating golf head, shaft, grip and hand are compared with each other. Normal and eccentric impact analyses for HAGCM are examined as well. The angular velocity found in eccentric impact is much higher than that in normal impact, and it will cause the muscle to exert more power to hold the golf club

    V2PSense: Enabling Cellular-based V2P Collision Warning Service Through Mobile Sensing

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    The C-V2X (Cellular Vehicle-to-Everything) technology is developing in full swing. One of its mainstream services can be the Vehicle-to-Pedestrian (V2P) service. It can protect pedestrians who are mostly vulnerable on the road. In this work, we seek to enable a V2P service that can identify which pedestrians may be nearby a dangerous driving event and then notify them of warning messages. To enable this V2P service, there are two major challenges. First, a low-latency V2P message transport is required for this infrastructure-based service. Second, the pedestrian’s smartphone requires an energy-efficient outdoor positioning method instead of power-hungry GPS due to its limited battery life. We thus propose a novel solution, V2PSense, which trades off positioning precision for energy savings while achieving low-latency message transport with LTE high-priority bearers. It does a coarse-grained positioning by leveraging intermittent GPS information and mobile sensing data, which includes step count from the pedometer and cellular signal strength changes. Though the V2PSense’s positioning is not as precise as the GPS, it can still ensure that all the pedestrians nearby dangerous spots can be notified. Our results show that it can achieve the average precision ratio 92.6% for estimating where the pedestrian is while saving 20.8% energy, compared with the GPS always-on case.This work was partially supported by the Ministry of Science and Tech-nology, Taiwan, under grant numbers 106-2622-8-009-017 and 106-2218-E-009-018, and by the H2020 collaborative Europe/Taiwan research project 5G-CORAL (grant num. 761586
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