Book review: Cognition (2nd Edition). John G. Benjafield, Prentice-Hall, Upper Saddle River, NJ, 1997. No. of pages 500. ISBN 0-13-398876-7. Price $58.00 (Hardback). Learning and cognition (4th Edition). Thomas Hardy Leahey and Richard Jackson Harris. Prentice-Hall, Upper Saddle River, NJ, 1997. No. of pages 526. ISBN 0-13-235268-0. Price $58.00 (Hardback).

Becker, Andrew S.

doi:10.1002/(sici)1099-0720(199710)11:5<457::aid-acp488>3.0.co;2-1

Cited by 17 publications

(15 citation statements)

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“…A higher hysteresis for the SA sensor could be attributed to the crack formation in the carbon black coating after 100 cycles of bending [56] , which resulted in a degradation in the sensor performance by 1.23%. Generally, 45 0 bending of the leaf surface may not occur in a live plant. Yet, if needed a separate correction factor can be introduced to account for such performance degradation under large bending angles, as is explained below.…”

Section: Temperature and Humidity Correctionsmentioning

confidence: 99%

A Hybrid Multifunctional Physicochemical Sensor Suite for Continuous Monitoring of Crop Health

Hossain

Tabassum

2023

Preprint

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This work reports a first-of-its-kind hybrid wearable physicochemical sensor suite that we call PlantFit for simultaneous measurement of two key phytohormones, salicylic acid, and ethylene, along with vapor pressure deficit and radial growth of stem in live plants. The sensors are developed using a low-cost and roll-to-roll screen printing technology. A single integrated flexible patch that contains temperature, humidity, salicylic acid, and ethylene sensors, is installed on the leaves of live plants. The strain sensor with in-built pressure correction capability is wrapped around the plant stem to provide pressure-compensated stem diameter measurements. The sensors provide real-time information on plant health under different amounts of water stress conditions. The sensor suite is installed on bell pepper plants for 40 days and measurements of salicylic acid, ethylene, temperature, humidity, and stem diameter are recorded daily. In addition, sensors are installed on different parts of the same plant to investigate the spatiotemporal dynamics of water transport and phytohormone responses. Subsequent correlation and principal component analyses demonstrate the strong association between hormone levels, vapor pressure deficit, and water transport in the plant. Our findings suggest that the mass deployment of PlantFit in agricultural settings will aid growers in detecting water stress/deficiency early and in implementing early intervention measures to reduce stress-induced yield decline.

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Section: Temperature and Humidity Correctionsmentioning

confidence: 99%

A Hybrid Multifunctional Physicochemical Sensor Suite for Continuous Monitoring of Crop Health

Hossain

Tabassum

2023

Preprint

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“…The left-hand side fits the form of the (scaled) Dirichlet kernel [ 36 ]

and the desired orbit interval

is obtained by solving the equation

…”

Section: Isotropic Deterministic Samplingmentioning

confidence: 99%

Progressive von Mises–Fisher Filtering Using Isotropic Sample Sets for Nonlinear Hyperspherical Estimation

Pfaff

Hanebeck

2021

Sensors

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In this work, we present a novel scheme for nonlinear hyperspherical estimation using the von Mises–Fisher distribution. Deterministic sample sets with an isotropic layout are exploited for the efficient and informative representation of the underlying distribution in a geometrically adaptive manner. The proposed deterministic sampling approach allows manually configurable sample sizes, considerably enhancing the filtering performance under strong nonlinearity. Furthermore, the progressive paradigm is applied to the fusing of measurements of non-identity models in conjunction with the isotropic sample sets. We evaluate the proposed filtering scheme in a nonlinear spherical tracking scenario based on simulations. Numerical results show the evidently superior performance of the proposed scheme over state-of-the-art von Mises–Fisher filters and the particle filter.

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“…Jedan broj istraživača proveravao je efekte indukovanih raspoloženja na stepen kreativnosti, a nalazi su sugerisali da loše raspoloženje može inhibirati kreativnost, jer smanjuje fluentnost u produkciji ideja (Vosburg, 1998a(Vosburg, , 1998b, dok dobro raspoloženje podstiče kreativno mišljenje (Baas, DeDreu, & Nijstad, 2008;Benjafield, 1997;Isen, 1993Isen, , 1998Isen, , 1999Isen & Baron, 1991;Shapiro & Weisberg, 1999), može delovati na fleksibilnost ispitanika kada prave kategorizaciju (Hirt, Melton, McDonald, & Harackiewicz, 1996;Showers & Cantor, 1985), dok umereno hipomanična stanja mogu podstaći genezu ideja, protok asocijacija, kombinatoričko mišljenje i stvaranje metafora (Jamison, 1993;1995). Pozitivni sadržaji više su povezani i bolje integrisani u memoriji, što omogućuje širenje aktivacije i uvećava mogućnost pravljenja udaljenih asocijacija presudnih za kreativno mišljenje (Isen, 1998).…”

Section: Emocije I Kreativnostunclassified

Povezanost Kreativne Produkcije I Emocionalnog Doživljaja: Postajemo Li Kreativniji Posmatrajući Nove Neprijatne Slike?

Ristić¹,

Мilošević²

2017

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2U istraživanju se ispituje stepen i vrsta povezanosti između kreativnosti odgovora, različitih dimenzija emocionalnog doživljaja (valence i pobuđenosti), bliskosti sadržaja i vremena reakcije. Eksperiment je izveden uz učešće 38 studenata Fakulteta dramskih umetnosti iz Beograda, a za vizuelnu stimulaciju korišćena je IAPS baza (International Affective Picture System) iz koje je izabrano deset fotografija tako da je vrednost valence i pobuđenosti sistematski varirana. Ispitanicima su najpre izlagane izabrane fotografije i od njih je traženo da ocene koliko im je blizak njihov sadržaj. Nakon toga je preklapanjem deset izabranih fotografija napravljeno 25 superponiranih vizuelnih stimulusa koji su izlagani u drugoj sesiji kada je od ispitanika traženo da smisle najbolji naslov za svaki od njih, uz merenje vremena reakcije. Mera kreativnosti odgovora dobijena je izračunavanjem koeficijenta kreativnosti koji je namenski konstruisan za potrebe istraživanja. Rezultati regresione analize su pokazali da su valenca i vreme reakcije statistički značajni i vrlo dobri prediktori kreativnosti odgovora. Veza valence i kreativnosti je negativna, a vremena i kreativnosti je pozitivna. Analizom glavnih komponenti koja je uključivala pet varijabli (valencu, pobuđenost, bliskost sadržaja, kreativnost odgovora i vreme reakcije) dobijena su tri faktora, koji objašnjavaju ukupno 94.51% varijanse, od toga je dva visoko zasićena kreativnošću. Rezultati proširuju uvide o odnosu emocionalnog doživljaja i kreativne produkcije sugerišuću da se varijablama valence i vremena može objasniti njihova povezanost kao i da one leže u osnovi dva procesa koji čine kreativno mišljenje.Ključne reči: kreativnost, valenca, pobuđenost, bliskost sadrža-ja, vreme reakcije 2 Deo rezultata ovog istraživanja prikazan je na naučnom skupu Empirijska istraživanja u psihologiji XXII, Filozofski fakultet, Beograd, 18.-20.03.2016.

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Cited by 17 publications

References 0 publications

A Hybrid Multifunctional Physicochemical Sensor Suite for Continuous Monitoring of Crop Health

A Hybrid Multifunctional Physicochemical Sensor Suite for Continuous Monitoring of Crop Health

Progressive von Mises–Fisher Filtering Using Isotropic Sample Sets for Nonlinear Hyperspherical Estimation

Povezanost Kreativne Produkcije I Emocionalnog Doživljaja: Postajemo Li Kreativniji Posmatrajući Nove Neprijatne Slike?

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