48 research outputs found
Characterizing a highly accomplished teacher’s noticing of third-grade students’ mathematical thinking
No full textThis study investigated a highly accomplished third-grade teacher’s noticing of students’ mathematical thinking as she taught multiplication and division. Through an innovative method, which allowed for documenting in-the-moment teacher noticing, the author was able to explore teacher noticing and reflective practices in the context of classroom teaching as opposed to professional development environments. Noticing was conceptualized as both attending to different elements of classroom instruction and making sense of classroom events. The teacher paid most attention to student thinking and was able to offer a variety of rich interpretations of student thinking which were presented in an emergent framework. The results also indicated how the teacher’s noticing might influence her instructional decisions. Implications for both research methods in studying noticing and teacher learning and practices are discussed.WOS:0004000764000042-s2.0-84944698927Social Sciences Citation IndexArticleUluslararası işbirliği ile yapılmayan - HAYIRHaziranYÖK - 2016-1
Yeni Öğretmenlerin Öğrenci Düşüncelerine Gösterdiği Dikkat
No full textRukiye Didem Taylan (MEF Author)Bu makale üçüncü-sınıf öğretmenlerinin öğrencilerin matematiksel düşüncelerini fark etmeleri ile ilgili çoklu durum çalışmasından kesitler sunmaktadır. Bu makalede mesleğe yeni başlamış olan iki sınıf öğretmeninin öğrencilerin matematiksel düşüncelerini fark etme becerilerini kulaklarına takılı taşınabilir kamera aracılığıyla seçtikleri kayıtlar yoluyla inceledim. Derslerden sonra öğretmenlerle yaptığım röportajlar sırasında öğretmenlerin video klipleri neden çektiklerine dair verdikleri bilgiler onların değişik olayları fark ettiğine dair kanıt sundu. çalışmadaki iki öğretmenin de ders sırasında en çok ilgi gösterdiği olaylar öğrencilerin matematiksel düşünmeleri ile ilgiliydi. Bulgular hem öğretmenlerin dikkatini inceleme konusunda geliştirilen araştırma metotları konusunda hem de yeni başlayan öğretmenlerin dikkat becerileri konusunda çıkarımlar içermektedi
Gomphocerus (Gomphocerus) eyluldenizi Mol, Şirin, Taylan & Sevgili, 2023, sp. n.
No full text<i>Gomphocerus</i> (<i>Gomphocerus</i>) <i>eyluldenizi</i> Mol, sp. n. <p> <i>Gomphocerus sibiricus turcicus</i> Mistshenko: Karabağ 1958: 146; <i>Gomphocerus sibiricus turcicus</i> Mistshenko: Weidner 1969: 206; <i>Gomphocerus sibiricus turcicus</i> Mistshenko: Demirsoy 1977: 225; <i>Gomphocerus sibiricus</i> Linnaeus, 1767; Güneş 1984: 137; <i>Gomphocerus sibiricus turcicus</i> Mistshenko: Çıplak <i>et al</i>. 1999: 766; <i>Gomphocerus sibiricus turcicus</i> Mistshenko: Mol & Zeybekoğlu 2013: 98; <i>Gomphocerus sibiricus turcicus</i> Mistshenko: Mol <i>et al</i>. 2017.</p> <p> <i>Diagnosis</i>. <i>G. eyluldenizi</i> is similar to <i>G. turcicus</i> and <i>G. transcaucasicus</i> species with tegmina and alea characters of both sexes, fusion of cubital-1 and cubital 2 fields and enlarged tip of tegmina (Fig. 8). On the other hand, this beautiful species differs from the morphologically closest <i>G. turcicus</i> and <i>G. transcaucasicus</i> species with several characters as, frontal carinae is distinctly depressed, the tegmina does not reach tip of the abdomen and the length of the frontal tibia is 2.5–2.77 times its width in female (Fig. 9).</p> <p> <i>Description</i>. Male (Holotype): <i>Head and pronotum</i> (Fig. 7): Head as wide as pronotum. Vertex acute angular and smooth fastigium, with faint median carina and raised. Vertical diameter of the eye/minimum width of vertex 1.60, in paratypes 1.45–1.71, vertical diameter of eye/subocular groove 1.55, in paratypes 1.40–1.53. Vertical faveolae long, its margins slightly curved some paratypes, 3 times longer than wide, in paratypes 3.5–4. Frontal carinae divergent downward, as rounded edges distinct between antennae, with a distinctly depression at the ocellum, expanded below ocellum, and indistinctly in profile. Antennae filiform with apical club, 1.4 times longer than head plus pronotum, in paratypes 1.3. Its longest medial segment 3.1 times as long as wide, in paratypes (1.22) 1.77–2.8; the ratio of the length to width of the sixth segment from the head on the antenna clavatus is 2, in paratypes 1.66–2.91.</p> <p>Pronotum widened, its frontal margin convex hind margin angular; feebly inflated, scarcely gibbose in prosoma and mesosoma in profile. Median carina distinct and entire. Typical transversal sulcus (third sulcus) distinctly curved, located behind middle of the median carina, cut behind the middle of the median carina, length of the in front of the transversal sulcus/length of the behind the transversal sulcus 1.66, in paratypes 1.29–1.66. The maximum/ minimum width between lateral carinae 2.38, in paratypes 2.4–4.0. Front tibia pear-shaped (Fig. 9), its length 2.51 times of its maximum width, in paratypes 2.5–2.77. Hind femur is long, its length 4.18 times of its maximum width, in paratypes 4.0–4.76. Mesosternal interspace wide, 1.6 times wider than long, in paratypes 1.45–2.83.</p> <p> <i>Thorax</i>: Tegmina (Fig. 8) not reach of tip of the abdomen; apical portion of the tegmen (from the end of the first radial to the apex) exist, tegmen 3.2 times as long as maximum width, in paratypes 3.40–3.80. Stigma found in 2/5– 3/5 apical half of tegmen, the length Pc-field/the length of tegmen 0.31, in paratypes 0.27–0.33; the greatest width of costal field/ the greatest width of precostal field 1.42, in paratypes 1.30–1.50, the greatest width of costal field/the greatest width of subcostal field 3, in paratypes 2.5–3.20; subcostal vein nearly smooth, radial vein slightly sinuate S-shape, the Cubital-1 and Cubital-2 vein fused with one another here and there Cu-2 field distinct. Tympanal opening semicircle shaped, its medial height nearly 1.60 times of its medial width, in paratypes 1.50–1.79. The alae as long as the tegmen in both sexes.</p> <p> <i>Abdomen</i> (Fig. 10): Cerci in male 2.28 times as long as wide in paratypes 1.90–2.50; nearly reach the apex of anal tergum. Middle of anal tergum widened like a channel; ephiphallus two lobes, anterior projection of ephiphallus spicular, cingular valves of penis longer than apical valves.</p> <p> <i>Measurements of holotype</i> (in mm). Body 14, head 2, pronotum 3.7, tegmina 10.5, hind femur 9.</p> <p> <i>Female (Allotype)</i>: <i>Head and pronotum</i> (Fig. 7): Head slightly wider than pronotum. Vertical diameter of the eye/minimum width of vertex 1.33–1.63, vertical diameter of eye/subocular groove 1.13–1.30. Vertical faveolae and frontal carinae as in the male. Antennae filiform, slightly widened, shorter than head plus pronotum, its longest medial segment 1.50–2.64 times as long as wide, the ratio of the length to width of the sixth segment from the head on the antennae clavatus is 1.1–2.5.</p> <p>Pronotum widened, its frontal margin slightly convex, hind margin widened angular. Length of the in front of the transversal sulcus/length of the behind the transversal sulcus 1.19–1.59. The maximum/minimum width between lateral carinae 2.5–3.0. Hind femur long, its length 3.77–4.5 times of its maximum width, Mesosternal interspace wide, 1.67–2.44 times wider than long.</p> <p> <i>Thorax</i>: Tegmina (Fig. 8) generally surpass tip of the abdomen not reach hind femur; tegmen 3.69–4.5 times as long as maximum width. Costal field with white band in basally, the greatest width of costal field/ the greatest width of precostal field 0.88–1.15, the greatest width of costal field/the greatest width of subcostal field 4–5; subcostal vein nearly smooth, radial vein generally slightly sinuate <i>S-shape</i>; the Cubital-1 and Cubital-2 field distinct, narrowed. Tympanal opening semicircle shaped, its medial height nearly 1.56–1.77 times of its medial width.</p> <p> <i>Abdomen</i> (Fig. 10): Cerci 1.3–1.54 times as long as wide, not reach the apex of anal tergum; subgenital plate widened apically with narrow and shortly cavity.</p> <p> <i>Coloration</i>. In general appearance head plus pronotum blackish brown, abdomen yellowish brown dorsally and body yellowish brown ventrally, from vertex to clypeus brownish, clypeus and genea yellowish brown sometimes black in female; mouthparts yellowish white; the pronotum brownish black, inner and outer side of lateral carinae sometimes blackish, terga blackish. Tegmina brownish with dark spots along precostal and medial field and around the stigma; hind femur brownish dorsally and yellowish ventrally with an oblique blackish band dorsally and internally.</p> <p> <i>Previous records from Turkey</i>. Erzurum: Palandöken Mountains (B̧y̧k Ģney Mountains), (Demirsoy 1977).</p> <p> <i>Material examined</i>. Erzurum: Palandöken Mountains, N 39.823889, E 41.291944, 2890 m., 22.viii.2015, 10 males, 9 males (leg. A. Mol, M.S.Taylan & D. Şirin) (deposited in ASUBTAM).</p> <p> <i>Etymology</i>. The new species name refers to Eyļl and Deniz Mol who are the children of the first author.</p> <p> <i>Remarks</i>. This species has not been assessed for the IUCN Red List (2022-2). The distribution of the <i>G. eyluldenizi</i> sp. n. is restricted and its habitats are strongly under the threat of the anthropogenic effects such as winter sports activities (many ski resorts), and overgrazing. The species should be considered as a <i>Critically Endangered</i> (B1ab (i, iii)) status on the basis of the extent of occurrence criteria of IUCN (https://www.iucnredlist.org/).</p>Published as part of <i>Mol, Abbas, Şirin, Deniz, Taylan, Mehmet Sait & Sevgili, Hasan, 2023, A review of the Anatolian Gomphocerus Thunberg, 1815 (Orthoptera: Acrididae Gomphocerinae) via morphological and bioacoustics characters: data suggesting a new species, a new subgenus and three new statuses, pp. 401-429 in Zootaxa 5353 (5)</i> on pages 414-417, DOI: 10.11646/zootaxa.5353.5.1, <a href="http://zenodo.org/record/10010058">http://zenodo.org/record/10010058</a>
Kaba Yemlerin Kalitesini Belirlemede Yeni Yaklaşımlar: Göreceli Yem Değeri (GYD) ve Görecelei Kaba Yem Kalitesi(GKYK)
No full textKaba Yemlerin Kalitesini Belirlemede Yeni Yaklaşımlar Göreceli Yem Değeri GYD ve Göreceli Kaba Yem Kalitesi GKYK
No full textKaba Yem Kalitesinin Sınıflandırılmasında Kullanılan Göreceli Yem Değeri (GYD) ve Göreceli Kaba Yem Kalite İndeksi (GKKİ)
No full textKaba Yem Kalitesinin Sınıflandırılmasında Kullanılan Göreceli Yem Değeri (GYD) ve Göreceli Kaba Yem Kalite İndeksi (GKKİ)
No full textObject definition with image processing technique in underwater vehicles
No full textBu çalışmada, su altında kapalı bir kaba yerleştirilen kamera ile görüntü alınmış ve nesne tanıma işlemi gerçekleştirilmiştir. Kameradan alınan gerçek zamanlı görüntü ile renk bilgisine dayalı olarak nesne tespiti yapılmıştır. Çalışmada RaspberryPi 4b, OpenCV ve Python programlama dili kullanılarak sualtı görüntü işleme ile nesnelerin tespiti amaçlanmıştır. Tanıtılan nesneler batık gemiler ve balıklardır. Nesne tanımada Single Shot Multibox Detector (SSD) derin öğrenme yöntemi ve MobileNet yapay sinir ağı kullanılarak web kamerasından gerçek zamanlı görüntüler alınarak nesne tespiti yapılır. Nesne tanımada, görüntü önce griye dönüştürülür ve ardın dan SSD MobileNet kütüphanesindeki nesnelerle karşılaştırılıp eşleştirildiğinde nesne tanınır.In this study, an image was taken with a camera placed in a sealed container under water and object recognition was performed. Object detection was made based on the color information with the real-time image taken from the camera. In the study, it was aimed to detect objects with under water image processing using the RaspberryPi 4b, OpenCV and Python programming language. Introduced objects are sunken ships and fish. In object recognition, using Single Shot Multibox Detector (SSD) deep learning method and MobileNet artificial neural network, object detection is done by taking real-time images from the webcam. In object recognition, the object is recognized when the image is first converted to gray and then compared with the objects in the SSD MobileNet library and matched
Object definition with image processing technique in underwater vehicles
No full textBu çalışmada, su altında kapalı bir kaba yerleştirilen kamera ile görüntü alınmış ve nesne tanıma işlemi gerçekleştirilmiştir. Kameradan alınan gerçek zamanlı görüntü ile renk bilgisine dayalı olarak nesne tespiti yapılmıştır. Çalışmada RaspberryPi 4b, OpenCV ve Python programlama dili kullanılarak sualtı görüntü işleme ile nesnelerin tespiti amaçlanmıştır. Tanıtılan nesneler batık gemiler ve balıklardır. Nesne tanımada Single Shot Multibox Detector (SSD) derin öğrenme yöntemi ve MobileNet yapay sinir ağı kullanılarak web kamerasından gerçek zamanlı görüntüler alınarak nesne tespiti yapılır. Nesne tanımada, görüntü önce griye dönüştürülür ve ardın dan SSD MobileNet kütüphanesindeki nesnelerle karşılaştırılıp eşleştirildiğinde nesne tanınır.In this study, an image was taken with a camera placed in a sealed container under water and object recognition was performed. Object detection was made based on the color information with the real-time image taken from the camera. In the study, it was aimed to detect objects with under water image processing using the RaspberryPi 4b, OpenCV and Python programming language. Introduced objects are sunken ships and fish. In object recognition, using Single Shot Multibox Detector (SSD) deep learning method and MobileNet artificial neural network, object detection is done by taking real-time images from the webcam. In object recognition, the object is recognized when the image is first converted to gray and then compared with the objects in the SSD MobileNet library and matched
Sensitivity and Specificity of a Urine Circulating Anodic Antigen Test for the Diagnosis of Schistosoma haematobium in Low Endemic Settings
No full text© 2015 Knopp et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The attached file is the published version of the article.NHM Repositor
