Gradient Ascent for Best Response Regression

Author(s):  
Victoria Racher ◽  
Christian Borgelt
Author(s):  
Karl Widerquist ◽  
Grant S. McCall

Earlier chapters of this book found that the Hobbesian hypothesis is false; the Lockean proviso is unfulfilled; contemporary states and property rights systems fail to meet the standard that social contract and natural property rights theories require for their justification. This chapter assesses the implications of those findings for the two theories. Section 1 argues that, whether contractarians accept or reject these findings, they need to clarify their argument to remove equivocation. Section 2 invites efforts to refute this book’s empirical findings. Section 3 discusses a response open only to property rights theorists: concede this book’s empirical findings and blame government failure. Section 4 considers the argument that this book misidentifies the state of nature. Section 5 considers a “bracketing strategy,” which admits that observed stateless societies fit the definition of the state of nature, but argues that they are not the relevant forms of statelessness today. Section 6 discusses the implications of accepting both the truth and relevance of the book’s findings, concluding that the best response is to fulfil the Lockean proviso by taking action to improve the lives of disadvantaged people.


2015 ◽  
Vol 24 (3) ◽  
pp. 379-382
Author(s):  
Tadahisa Inoue ◽  
Hitoshi Sano ◽  
Takashi Mizushima ◽  
Hirotada Nishie ◽  
Hiroyasu Iwasaki ◽  
...  

We present the case of a Japanese man in his 60s with duodenal neuroendocrine carcinoma with distant metastases. Chemotherapy with irinotecan plus cisplatin was initiated as a first-line regimen. However, disease progression was observed after only two cycles. Therefore, amrubicin was administered as a second-line chemotherapy. The patient showed a long-term effect of amrubicin therapy, and the best response was a partial response after seven cycles. For duodenal neuroendocrine carcinoma, amrubicin therapy can be considered an effective treatment option as salvage chemotherapy.


Agrotek ◽  
2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Baso Daeng

<em>The rate of conversion of paddy fields and irrigation water crisis suggest to consider the development of upland rice.� Empowerment of organic-based dryland done to increase rice, as well as environmental sustainability efforts.� The purpose of this experiment was to determine the effect of organic fertilizer residue to upland rice in the second growing season.� Experiments using a split-split plot design.� The main plot consisted of a dosage of 50% and 100% organic fertilizer in the first growing season.� Sub plot consisted of chicken manure (20 tons ha<sup>-1</sup>), <span style="text-decoration: underline;">Centrosema</span>� <span style="text-decoration: underline;">pubescens</span> (4.3 tons ha<sup>-1</sup>) + chicken manure (10 tons ha<sup>-1</sup>), and <span style="text-decoration: underline;">Thitonia</span> <span style="text-decoration: underline;">diversifolia</span> (4.3 tons ha<sup>-1</sup>) + chicken manure (10 tons ha<sup>-1</sup>).� Sub-sub plot consist of Danau Gaung and Batu Tegi varieties.� The different types of fertilizer had no effect on plant productivity.� The addition of <span style="text-decoration: underline;">Thitonia</span> <span style="text-decoration: underline;">diversifolia</span> gave a good effect on some growth variable and its resistance due pathogen attack.� Batu Tegi varieties are varieties that give the best response from an organic fertilizer.� Interaction between dosage, type of fertilizer, and varieties do not provide areal impact.</em>


Author(s):  
Iyappan Murugesan ◽  
Karpagam Sathish

: This paper presents electrical power system comprises many complex and interrelating elements that are susceptible to the disturbance or electrical fault. The faults in electrical power system transmission line (TL) are detected and classified. But, the existing techniques like artificial neural network (ANN) failed to improve the Fault Detection (FD) performance during transmission and distribution. In order to reduce the power loss rate (PLR), Daubechies Wavelet Transform based Gradient Ascent Deep Neural Learning (DWT-GADNL) Technique is introduced for FDin electrical power sub-station. DWT-GADNL Technique comprises three step, normalization, feature extraction and FD through optimization. Initially sample power TL signal is taken. After that in first step, min-max normalization process is carried out to estimate the various rated values of transmission lines. Then in second step, Daubechies Wavelet Transform (DWT) is employed for decomposition of normalized TLsignal to different components for feature extraction with higher accuracy. Finally in third step, Gradient Ascent Deep Neural Learning is an optimization process for detecting the local maximum (i.e., fault) from the extracted values with help of error function and weight value. When maximum error with low weight value is identified, the fault is detected with lesser time consumption. DWT-GADNL Technique is measured with PLR, feature extraction accuracy (FEA), and fault detection time (FDT). The simulation result shows that DWT-GADNL Technique is able to improve the performance of FEA and reduces FDT and PLR during the transmission and distribution when compared to state-of-the-art works.


Games ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 4
Author(s):  
David Jimenez-Gomez

I develop a dynamic model with forward looking agents, and show that social pressure is effective in generating provision in a public good game: after a small group of agents start contributing to the public good, other agents decide to contribute as well due to a fear of being punished, and this generates contagion in the network. In contrast to earlier models in the literature, contagion happens fast, as part of the best response of fully rational individuals. The network topology has implications for whether contagion starts and the extent to which it spreads. I find conditions under which an agent decides to be the first to contribute in order to generate contagion in the network, as well as conditions for contribution due to a self-fulfilling fear of social pressure.


2021 ◽  
Vol 9 (4) ◽  
pp. e002193
Author(s):  
Sigrid P Dubois ◽  
Milos D Miljkovic ◽  
Thomas A Fleisher ◽  
Stefania Pittaluga ◽  
Jennifer Hsu-Albert ◽  
...  

BackgroundFull application of cytokines as oncoimmunotherapeutics requires identification of optimal regimens. Our initial effort with intravenous bolus recombinant human interleukin-15 (rhIL-15) was limited by postinfusional reactions. Subcutaneous injection and continuous intravenous infusion for 10 days (CIV-10) provided rhIL-15 with less toxicity with CIV-10 giving the best increases in CD8+ lymphocytes and natural killer (NK) cells. To ease rhIL-15 administration, we shortened time of infusion. Treatment with rhIL-15 at a dose of 3–5 µg/kg as a 5-day continuous intravenous infusion (CIV-5) had no dose-limiting toxicities while effector cell stimulation was comparable to the CIV-10 regimen.MethodsEleven patients with metastatic cancers were treated with rhIL-15 CIV-5, 3 µg (n=4), 4 µg (n=3), and 5 µg/kg/day (n=4) in a phase I dose-escalation study (April 6, 2012).ResultsImpressive expansions of NK cells were seen at all dose levels (mean 34-fold), including CD56bright NK cells (mean 144-fold for 4 µg/kg), as well as an increase in CD8+ T cells (mean 3.38-fold). At 5 µg/kg/day, there were no dose-limiting toxicities but pulmonary capillary leak and slower patient recovery. This led to our choice of the 4 µg/kg as CIV-5 dose for further testing. Cytolytic capacity of CD56bright and CD56dim NK cells was increased by interleukin-15 assayed by antibody-dependent cellular cytotoxicity (ADCC), natural cytotoxicity and natural killer group 2D-mediated cytotoxicity. The best response was stable disease.ConclusionsIL-15 administered as CIV-5 substantially expanded NK cells with increased cytotoxic functions. Tumor-targeting monoclonal antibodies dependent on ADCC as their mechanism of action including alemtuzumab, obinutuzumab, avelumab, and mogamulizumab could benefit from those NK cell expansions and provide a promising therapeutic strategy.Trial registration numbersNCT01572493, NCT03759184, NCT03905135, NCT04185220 and NCT02689453.


Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1612
Author(s):  
Andrea Paut ◽  
Ante Prkić ◽  
Ivana Mitar ◽  
Perica Bošković ◽  
Dražan Jozić ◽  
...  

A novel ion-selective electrode with membranes based on iron(III) phosphate and silver sulfide integrated into a completely new electrode body design has been developed for the determination of iron(III) cations. The best response characteristics with linear potential change were found in the iron(III) concentration range from 3.97× 10−5 to 10−2 mol L−1. The detection limit was found to be 2.41× 10−5 mol L−1 with a slope of –20.53 ± 0.63 and regression coefficient of 0.9925, while the quantification limit was 3.97× 10−5 M. The potential change per concentration decade ranged from –13.59 ± 0.54 to –20.53 ± 1.56 for Electrode Body 1 (EB1) and from –17.28 ± 1.04 to –24 ± 1.87 for Electrode Body 2 (EB2), which is presented for the first time in this work. The prepared electrode has a long lifetime and the ability to detect changes in the concentration of iron cations within 20 s. Membrane M1 showed high recoveries in the determination of iron cations in iron(III) standard solutions (98.2–101.2%) as well as in two different pharmaceuticals (98.6–106.5%). This proves that this type of sensor is applicable in the determination of ferric cations in unknown samples, and the fact that all sensor parts are completely manufactured in our laboratory proves the simplicity of the method.


2021 ◽  
pp. 194016122110226
Author(s):  
Ayala Panievsky

As populist campaigns against the media become increasingly common around the world, it is ever more urgent to explore how journalists adopt and respond to them. Which strategies have journalists developed to maintain the public's trust, and what may be the implications for democracy? These questions are addressed using a thematic analysis of forty-five semistructured interviews with leading Israeli journalists who have been publicly targeted by Israel's Prime Minister, Benjamin Netanyahu. The article suggests that while most interviewees asserted that adherence to objective reporting was the best response to antimedia populism, many of them have in fact applied a “strategic bias” to their reporting, intentionally leaning to the Right in an attempt to refute the accusations of media bias to the Left. This strategy was shaped by interviewees' perceived helplessness versus Israel's Prime Minister and his extensive use of social media, a phenomenon called here “the influence of presumed media impotence.” Finally, this article points at the potential ramifications of strategic bias for journalism and democracy. Drawing on Hallin's Spheres theory, it claims that the strategic bias might advance Right-wing populism at present, while also narrowing the sphere of legitimate controversy—thus further restricting press freedom—in the future.


Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7336
Author(s):  
Mincheol Paik ◽  
Haneul Ko

Frequent location updates of individual Internet of Things (IoT) devices can cause several problems (e.g., signaling overhead in networks and energy depletion of IoT devices) in massive machine type communication (mMTC) systems. To alleviate these problems, we design a distributed group location update algorithm (DGLU) in which geographically proximate IoT devices determine whether to conduct the location update in a distributed manner. To maximize the accuracy of the locations of IoT devices while maintaining a sufficiently small energy outage probability, we formulate a constrained stochastic game model. We then introduce a best response dynamics-based algorithm to obtain a multi-policy constrained Nash equilibrium. From the evaluation results, it is demonstrated that DGLU can achieve an accuracy of location information that is comparable with that of the individual location update scheme, with a sufficiently small energy outage probability.


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