130,723 research outputs found

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Characterization of carbon fiber-reinforced thermoplastic and thermosetting polyimide matrix composites manufactured by using various synthesized PI precursor resins

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    Currently, it is important to manufacture thermoplastic advanced composites with high mechanical and thermal properties because of their higher impact resistance than thermoset composites. In this study, carbon fiber (CF)-reinforced thermoplastic and thermosetting polyimide (PI) matrix composites were manufactured by vacuum bagging followed by compression molding. Before the manufacturing process, prepregs were also prepared with various PI precursor resins by using two-step impregnation. These precursors were synthesized as poly (amic acid) (PAA), polyester amine salts (PEAS) and poly (amic acid) ammonium salts (PAAS). The PAAS precursor resin was applied as a novel method for manufacturing CF-reinforced PI matrix advanced composites. The advanced thermoplastic composite obtained from the PAAS precursor (PAAS-T) exhibited superior mechanical properties and enhanced thermal properties (near the thermal properties of thermoset advanced composites) in comparison to the other advanced composites in this study and those in the literature. However, the NA-terminated PAAS precursor (thermosetting PI precursor) did not exhibit a similar effect in terms of mechanical properties. On the other hand, the thermosetting composites exhibited highly enhanced storage modulus values up to 400 °C and outstanding thermal stability at TGA. The thermosetting composite that was obtained from the NA-terminated PAA precursor resin exhibited high mechanical properties besides its thermal properties. © 202

    Akin House 154: Plaster Behind Plaster

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    Layers of Plaster, Hall B. Akin House. Photograph dated December 13, 2005.https://docs.rwu.edu/baker_images/1462/thumbnail.jp

    Akin House 154: Plaster Behind Plaster

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    Layers of Plaster, Hall B. Akin House. Photograph dated December 13, 2005.https://docs.rwu.edu/baker_images/1462/thumbnail.jp

    Aksaray İli, Akin Köyü Monografisi

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    <p>Çalışmayı ele almamızdaki amaç; Akin Köyü soyut ve somut kültürel mirasının ortaya çıkarılmasında yatmaktadır.  Akin Köyü daha önce araştırmacıların ilgisini çekmemiştir. Araştırma da diğer önemli bir sebep kaya oyma mekânların hızlı bir yok oluş sürecine girmesidir. Araştırma köy monografisi şeklinde hazırlanmıştır. Soyut kültürel miras inanç, gelenek, folklor yerinde yoğun gözlem ve halk ile yapılan röportajlar ile gerçekleşmiştir. Somut kültürel miras, mimari eserlerin rölöve alımı, çizimlerin yayına hazırlanması ve fotoğraflama ile oluşturulmuştur. Mimari eser incelemesi birer adet cami ve çeşme ile üç adet kaya oyma mekân ile gerçekleştirilmiştir. Kırsal mimarinin belki de en eski şekli olan mağarada yaşama olayı Paleotik dönemde yoğun bilinmekle birlikte, Kapadokya bölgesinde Neolitik Çağda da devam ettiğinden bahsedilir. Akin köyü ve bölgesine 16. Yüzyılda başlayan göçlerle birlikte, insanların benzerlerini Kapadokya’da gördükleri kaya oymalarda, yer altı şehirlerinde yaşam şekli, mağaralarda uygulanmaya başlamıştır. Bu göç hareketliliği bölgede devam etmiş ve Akin Eski köyde yirmi adet mağarada yaşanmıştır. Mağaralarda doğan günümüzün yaşlıları burada insanların 1960’lı yıllara kadar ikamet ettiğini belirtmektedir. Günümüzdeki yeni yerine taşınan köyde yaşam 1966 yılında devletin desteği ile tapulu arazilerin halka dağıtılması ile başlamıştır. Akin Eski Köy cami kadim ahşap direkli cami geleneğimizin temsilcisi olarak varlığını sürdürmektedir. Yine tatlı su çeşmesi sivri kemerli formu, deposu, yalağı ile geleneksel su mimarimizin en güzel şeklinin bölgede yaşatmaktadır. İnsanlara ve hayvanlara hizmet etmektedir. Kültürel mirasımızın canlı kanıtları soyut ve somut eserlerimizi korumak ve yaşatmak gelecek nesillere borcumuzdur. Akin Eski Köyü ve çevresinde acil müdahale bekleyen eserler ve kaya oyma mekânlar ivedilikle korunmaya alınmalıdır.</p&gt

    Pragmatic Case Studies as a Source of Unity in Applied Psychology

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    To unify or not to unify applied psychology: that is the question. In this article we review pendulum swings in the historical efforts to answer this question—from a comprehensive, positivist, “top-down,” deductive yes between the 1930s and the early 60s, to a postmodern no since then. A rationale and proposal for a limited, “bottom-up,” inductive yes in applied psychology is then presented, employing a case-based paradigm that integrates both positivist and postmodern themes and components. This paradigm is labeled “pragmatic psychology” and, its specific use of case studies, the “Pragmatic Case Study Method” (“PCS Method”). We call for the creation of peer-reviewed journal-databases of pragmatic case studies as a foundational source of unifying applied knowledge in our discipline. As one example, the potential of the PCS Method for unifying different angles of theoretical regard is illustrated in an area of applied psychology, psychotherapy, via the case of Mrs. B. The article then turns to the broader historical and epistemological arguments for the unifying nature of the PCS Method in both applied and basic psychology.Peer reviewe

    AKIN AKI Criteria.

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    <p>AKIN: Acute Kidney Injury Network.</p><p>AKI: Acute Kidney Injury.</p><p>Adapted from reference 13.</p

    A Robust Method for Induction Motor Magnetizing Curve Identification at Standstill

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    Modern electric drives use a self-commissioning procedure to precisely identify motor parameters for achieving high-performance control. Typically, the induction motor magnetizing curve is identified using no-load rotational test. However, some applications necessitate the electric drive to identify the magnetizing curve at standstill conditions. As one of the well-known standstill approaches, the traditional flux integration exhibits several practical problems. Any imperfection in measured current, estimated stator resistance, and dead-time compensation directly affects the accuracy of the estimated magnetizing curve because of error accumulation in open-loop integration. This paper proposes a robust yet simple solution against those practical concerns. It can identify the magnetizing curve without using any dead-time compensation and stator resistance. Only industry-standard dc-link voltage and phase current measurements are used. Its superior features are experimentally verified on a number of motors and the results are confirmed by no-load rotational test results. Its robustness against current offset and extra longer integration duration is also proved.Erik Jonsson School of Engineering and Computer Scienc

    A New LMS Algorithm Based Dead-Time Compensation Method for PMSM FOC Drives

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    Full text access from Treasures at UT Dallas is restricted to current UTD affiliates (use the provided Link to Article). Non UTD affiliates will find the web address for this item by clicking the "Show full item record" link, copying the "dc.relation.uri" metadata and pasting it into a browser.This paper presents a new least-mean-square (LMS) algorithm based dead-time compensation method to suppress the current distortion in permanent-magnet synchronous motor (PMSM) field-oriented control (FOC) drives. Compared to conventional average value compensations, the proposed method is robust to switching device parameter variations thanks to the online adaptation capability of the LMS algorithm. Similarly, the disturbance observer compensators are also immune to switching device parameter variations; however, varying motor parameters degrades their compensation performance. Without prior knowledge of switching device or motor parameters, the proposed method can directly reduce the dead-time current harmonics by generating compensation voltage references. In addition, the proposed method is easy to implement since it doesn't require voltage errors estimation or current harmonics extraction which are necessary for disturbance observer and adaptive filter based methods. The proposed method is tested on a 2.5 kW voltage-source inverter (VSI) PMSM drive controlled by FOC algorithm. Its effectiveness is validated by both experimental results and spectrum analysis.Erik Jonsson School of Engineering and Computer Scienc
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