2,730 research outputs found

    In‐Memory Binary Vector–Matrix Multiplication Based on Complementary Resistive Switches

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    In article number 2000134, Stephan Menzel and co‐workers explore a computation in‐memory concept for binary vector‐matrix multiplications based on complementary resistive switches. Experimental results on a small‐scale demonstrator are shown and the influence of device variability is investigated. The simulated inference of a 1‐layer fully connected binary neural network trained on the MNIST data set resulted in an accuracy of nearly 86%

    Ask questions, get sales : close the deak and create long-term relationships / Stephan Schiffman.

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    Includes index.v, 168 pages ;In Ask Questions, Get Sales, the author and sales guru Stephan Schiffman helps readers boost their careers to the gold-medal level by teaching them how to strengthen their questioning skills during the sales process. The premise is simple yet effective: In order to be successful, salespeople need to change their mindset from "need-orientated" to "do-orientated". The message of the book centers around six core "do" questions: What do you do? How do you do it? When and where do you do it? Why do you do it that way? Who do you do it with? How can we help you do it better? With this indispensable guide in their briefcase, salespeople will have information at the ready to score big sales over the short term and the long term

    Trichocoelina vitticollis Vilkamaa & Menzel 2019, comb. n.

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    Trichocoelina vitticollis (Holmgren, 1883) comb. n. Synonyms: = glacialis (Lundbeck, 1898) [as Sciara; preocc., not Sciara glacialis Rübsaamen, 1898]; = permutata (Lundbeck, 1900) [as Sciara; new name for Sciara glacialis Lundbeck, 1898]. Literature. Sciara glacialis Lundbeck—Lundbeck (1898): 254, pl. 6, fig. 13. Sciara humicola Lundbeck—Lundbeck (1898): 252, pl. 6, fig. 11 [misidentification]. Sciara permutata Lundbeck—Lundbeck (1900): 313. Bradysia permutata (Lundbeck) — McAlpine (1964): 128. Bradysia (Hemineurina) permutata (Lundbeck) — Frey (1948): 66, 84; pl. 18, fig. 106. Lycoriella (Hemineurina) permutata (Lundbeck) — Tuomikoski (1959a): 36; Tuomikoski, (1960): 75, 76; Stone & Laffoon (1965): 232; Tuomikoski (1967): 48; Gerbachevskaja-Pavluchenko (1986): 31 [not sensu Mohrig et al. (1983a) 15; misidentification, = T. subpermutata (Mohrig & Mamaev, 1990)]. Sciara vitticollis Holmgren—Holmgren (1883): 182; Jacobson (1898): 190; Gerbachevskaja-Pavluchenko (1986): 71. Lycoria (Neosciara) vitticollis (Holmgren) — Lengersdorf 1928 –30: 59. Lycoriella (Hemineurina) vitticollis (Holmgren) — Menzel & Mohrig (2000): 411, figs 380, 381; Coulson & Refseth (2004): 103; Coulson (2008): 162; Coulson (2013): 154; Mohrig et al. (2013): 271; Vilkamaa (2015): 551; Wirta et al. (2016): appendix, unpaginated p. 21 (table S1) and unpaginated p. 39 (cladogram). New records. CANADA, Northwest Territories, Mackenzie Delta, Reindeer Depot, 29.VI.1948, J.R. Vockeroth, 1 male (in MZH); NE GREENLAND, Zackenberg, 74°28’N, 20°34’W, 1.VIII.1991, J. Böcher, 1 male (in ZMUC); NW GREENLAND, Thule, 8.VII.1940, C. Wibe, 1 male (in ZMUC); SE GREENLAND, Skoldängen, 14–27.VII.1992, 2 males (1 in MZH, 1 in ZMUC); SW GREENLAND, Nugssuak, 18.VII.1949, C. Wibe, 1 male (in ZMUC); Saputit, 6.VII.1949, C. Wibe, 1 male (in MZH); W GREENLAND, Arnangarnup kua, 11.VII.1984, J. Böcher, 1 male (im ZMUC); Skjoklungen, ‘ Bygder’, 19–27.VII.1992, S. Andersen, 1 male (in ZMUC); Söndre Stormfjord, 21.VI.1952, C. Wibe, 1 male (in MZH); same locality but 67°02’N, 50°40’W, 2.VIII.1992, J. Böcher, 1 male (in MZH); NORWAY, ‘ Svalbard, Bjorndalen’ [= Svalbard, Spitsbergen, Nordenskiöld Land, valley Bjørndalen W of Adventfjorden], 78.2320°N, 15.3270°E, 13.VII.2012, G.E.E. Søli, 1 male (NHMO 261403 and BOLD Sample ID SV985, in NHMO); ‘ Svalbard, Bolterdalen’ [= Svalbard, Spitsbergen, Nordenskiöld Land, valley Bolterdalen on the southern side of Adventdalen], 78.1640°N, 15.9900°E, 100 m, 10.VII.2012, G.E.E. Søli, 3 males (NHMO 260984 and BOLD Sample ID SV1061, NHMO 260985 and BOLD Sample ID SV1062, 2 in NHMO; BOLD Sample ID SV1064, in SDEI); ‘Svalbard, Colesbukta’ [= Svalbard, Spitsbergen, Nordenskiöld Land, bay Colesbukta on the southern side of Isfjorden] 78.1120°N, 15.0290°E, 11.VII.2012, T. Ekrem, E. Stur & G.E.E. Søli, 1 male (NHMO 261328 and BOLD Sample ID SV910, in NHMO); ‘ Svalbard, Hanaskogdalen’ [= Svalbard, Spitsbergen, Nordenskiöld Land, valley Hanaskogdalen on the eastern side of Adventfjorden], 78.2830°N, 15.6050°E, 25 m, 12.VII.2012, T. Ekrem, E. Stur & G.E.E. Søli, 4 males (NHMO 261385 and BOLD Sample ID SV967, NHMO 261390 and BOLD Sample ID SV972, 2 in NHMO; BOLD Sample ID SV945, 1 in NTNU-VM; BOLD Sample ID SV974, 1 in SDEI); ‘Svalbard, Krossfjorden, 14. juli bukta’ [= Svalbard, Spitsbergen, bay Fjortende Julibukta (northern side) on the eastern side of Krossfjorden], 79.1284°N, 11.8582°E, 3 m, 18.VII.2013, T. Ekrem, K. Harsaker & G.E.E. Søli, 1 male (NHMO 261046 and BOLD Sample ID SV1137, in NHMO); ‘ Svalbard, Lakselva’ [= Svalbard, Bjørnøya, river Lakselva], 74.4994°N, 18.9776°E, 15 m, 28.VII.2009, T. Ekrem, 1 male (NTNU-VM 50612 and BOLD Sample ID BJ262, in NTNU-VM); same locality but 3.VIII.2009, T. Ekrem, 2 males (NTNU-VM 50606 and BOLD Sample ID BJ256, NTNU-VM 50608 and BOLD Sample ID BJ258, in NTNU-VM); ‘ Svalbard, Lillehoeoekfjorden, Nilspynten’ [Sval- bard, Spitsbergen, Albert I Land, Lillehøkfjorden, E part of Mitrahalvøya, Nilspynten], 79.2660°N, 11.5690°E, 10 m, 18.VII.2013, G.E.E. Søli, 6 males (NHMO 261244 and BOLD Sample ID SV825, NHMO 261245 and BOLD Sample ID SV826, NHMO 261253 and BOLD Sample ID SV834, NHMO 261254 and BOLD Sample ID SV835, 4 in NHMO; BOLD Sample ID SV828, in SDEI; BOLD Sample ID SV 831 in MZH); ‘ Svalbard, Longyearbyen’ [= Svalbard, Spitsbergen, Nordenskiöld Land, Longyearbyen in the Longyeardalen S of Adventfjorden], 78.2170°N, 15.6180°E, 16.VII.2012, G.E.E. Søli, T. Ekrem & E. Stur, 2 males (NHMO 261508 and BOLD Sample ID SV1263, NHMO 261175 and BOLD Sample ID SV1266, in NHMO); ‘Svalbard, Longyearbyen’ [= Svalbard, Spitsbergen, Nordenskiöld Land, Longyearbyen in the Longyeardalen S of Adventfjorden], 78.2088°N, 15.5889°E, 14.VII.2012, G.E.E. Søli, 2 males (NHMO 261508 and BOLD Sample ID SV-NHMO91, in NHMO; BOLD Sample ID SV-NHMO94, in SDEI); ‘ Svalbard, Longyearbyen’ [= Svalbard, Spitsbergen, Nordenskiöld Land, Longyearbyen in the Longyeardalen S of Adventfjorden], 78.2130°N, 15.6040°E, 14.VII.2012, E. Stur, 2 males (NHMO 261191 and BOLD Sample ID SV1282, in NHMO; BOLD Sample ID SV1283, in MZH); Svalbard, NW part of Spitsbergen, southern coast of Kongsfjord, W of Ny Ålesund, yellow pan trap, 2–15.VII.1974, Stephan, 2 males (in NHMO, SDEI); SWEDEN, Lapland, Abisko, Naturvetenskapliga Station, meadow at the station, sweep-net, 28.VI.1988, M. von Tschirnhaus, 4 males (2 in NHMO, 2 in SDEI). BIN. BOLD:ABA5288. Discussion. The species was described from one female from Novaya Zemlya by Holmgren (1883) and later described again based on some males and females from Greenland as Sciara glacialis (Lundbeck 1898) and from Spitsbergen as Sciara permutata (Lundbeck 1900). The species was redescribed with a list of literature, synonyms and combinations by Menzel & Mohrig (2000). Trichocoelina vitticollis (Holmgren) can be distinguished from all other species of the genus by its very large, setose intergonocoxal lobe of hypopygium and in having the gonostylus with a group of slender, oblique medial megasetae. See also under Trichocoelina tecta sp. n.Published as part of Vilkamaa, Pekka & Menzel, Frank, 2019, Re-classification of Lycoriella Frey sensu lato (Diptera, Sciaridae), with description of Trichocoelina gen. n. and twenty new species, pp. 1-67 in Zootaxa 4665 (1) on pages 47-50, DOI: 10.11646/zootaxa.4665.1.1, http://zenodo.org/record/400055

    Trichocoelina vitticollis Vilkamaa & Menzel 2019, comb. n.

    No full text
    Trichocoelina vitticollis (Holmgren, 1883) comb. n. Synonyms: = glacialis (Lundbeck, 1898) [as Sciara; preocc., not Sciara glacialis Rübsaamen, 1898]; = permutata (Lundbeck, 1900) [as Sciara; new name for Sciara glacialis Lundbeck, 1898]. Literature. Sciara glacialis Lundbeck—Lundbeck (1898): 254, pl. 6, fig. 13. Sciara humicola Lundbeck—Lundbeck (1898): 252, pl. 6, fig. 11 [misidentification]. Sciara permutata Lundbeck—Lundbeck (1900): 313. Bradysia permutata (Lundbeck) — McAlpine (1964): 128. Bradysia (Hemineurina) permutata (Lundbeck) — Frey (1948): 66, 84; pl. 18, fig. 106. Lycoriella (Hemineurina) permutata (Lundbeck) — Tuomikoski (1959a): 36; Tuomikoski, (1960): 75, 76; Stone & Laffoon (1965): 232; Tuomikoski (1967): 48; Gerbachevskaja-Pavluchenko (1986): 31 [not sensu Mohrig et al. (1983a) 15; misidentification, = T. subpermutata (Mohrig & Mamaev, 1990)]. Sciara vitticollis Holmgren—Holmgren (1883): 182; Jacobson (1898): 190; Gerbachevskaja-Pavluchenko (1986): 71. Lycoria (Neosciara) vitticollis (Holmgren) — Lengersdorf 1928 –30: 59. Lycoriella (Hemineurina) vitticollis (Holmgren) — Menzel & Mohrig (2000): 411, figs 380, 381; Coulson & Refseth (2004): 103; Coulson (2008): 162; Coulson (2013): 154; Mohrig et al. (2013): 271; Vilkamaa (2015): 551; Wirta et al. (2016): appendix, unpaginated p. 21 (table S1) and unpaginated p. 39 (cladogram). New records. CANADA, Northwest Territories, Mackenzie Delta, Reindeer Depot, 29.VI.1948, J.R. Vockeroth, 1 male (in MZH); NE GREENLAND, Zackenberg, 74°28’N, 20°34’W, 1.VIII.1991, J. Böcher, 1 male (in ZMUC); NW GREENLAND, Thule, 8.VII.1940, C. Wibe, 1 male (in ZMUC); SE GREENLAND, Skoldängen, 14–27.VII.1992, 2 males (1 in MZH, 1 in ZMUC); SW GREENLAND, Nugssuak, 18.VII.1949, C. Wibe, 1 male (in ZMUC); Saputit, 6.VII.1949, C. Wibe, 1 male (in MZH); W GREENLAND, Arnangarnup kua, 11.VII.1984, J. Böcher, 1 male (im ZMUC); Skjoklungen, ‘ Bygder’, 19–27.VII.1992, S. Andersen, 1 male (in ZMUC); Söndre Stormfjord, 21.VI.1952, C. Wibe, 1 male (in MZH); same locality but 67°02’N, 50°40’W, 2.VIII.1992, J. Böcher, 1 male (in MZH); NORWAY, ‘ Svalbard, Bjorndalen’ [= Svalbard, Spitsbergen, Nordenskiöld Land, valley Bjørndalen W of Adventfjorden], 78.2320°N, 15.3270°E, 13.VII.2012, G.E.E. Søli, 1 male (NHMO 261403 and BOLD Sample ID SV985, in NHMO); ‘ Svalbard, Bolterdalen’ [= Svalbard, Spitsbergen, Nordenskiöld Land, valley Bolterdalen on the southern side of Adventdalen], 78.1640°N, 15.9900°E, 100 m, 10.VII.2012, G.E.E. Søli, 3 males (NHMO 260984 and BOLD Sample ID SV1061, NHMO 260985 and BOLD Sample ID SV1062, 2 in NHMO; BOLD Sample ID SV1064, in SDEI); ‘Svalbard, Colesbukta’ [= Svalbard, Spitsbergen, Nordenskiöld Land, bay Colesbukta on the southern side of Isfjorden] 78.1120°N, 15.0290°E, 11.VII.2012, T. Ekrem, E. Stur & G.E.E. Søli, 1 male (NHMO 261328 and BOLD Sample ID SV910, in NHMO); ‘ Svalbard, Hanaskogdalen’ [= Svalbard, Spitsbergen, Nordenskiöld Land, valley Hanaskogdalen on the eastern side of Adventfjorden], 78.2830°N, 15.6050°E, 25 m, 12.VII.2012, T. Ekrem, E. Stur & G.E.E. Søli, 4 males (NHMO 261385 and BOLD Sample ID SV967, NHMO 261390 and BOLD Sample ID SV972, 2 in NHMO; BOLD Sample ID SV945, 1 in NTNU-VM; BOLD Sample ID SV974, 1 in SDEI); ‘Svalbard, Krossfjorden, 14. juli bukta’ [= Svalbard, Spitsbergen, bay Fjortende Julibukta (northern side) on the eastern side of Krossfjorden], 79.1284°N, 11.8582°E, 3 m, 18.VII.2013, T. Ekrem, K. Harsaker & G.E.E. Søli, 1 male (NHMO 261046 and BOLD Sample ID SV1137, in NHMO); ‘ Svalbard, Lakselva’ [= Svalbard, Bjørnøya, river Lakselva], 74.4994°N, 18.9776°E, 15 m, 28.VII.2009, T. Ekrem, 1 male (NTNU-VM 50612 and BOLD Sample ID BJ262, in NTNU-VM); same locality but 3.VIII.2009, T. Ekrem, 2 males (NTNU-VM 50606 and BOLD Sample ID BJ256, NTNU-VM 50608 and BOLD Sample ID BJ258, in NTNU-VM); ‘ Svalbard, Lillehoeoekfjorden, Nilspynten’ [Sval- bard, Spitsbergen, Albert I Land, Lillehøkfjorden, E part of Mitrahalvøya, Nilspynten], 79.2660°N, 11.5690°E, 10 m, 18.VII.2013, G.E.E. Søli, 6 males (NHMO 261244 and BOLD Sample ID SV825, NHMO 261245 and BOLD Sample ID SV826, NHMO 261253 and BOLD Sample ID SV834, NHMO 261254 and BOLD Sample ID SV835, 4 in NHMO; BOLD Sample ID SV828, in SDEI; BOLD Sample ID SV 831 in MZH); ‘ Svalbard, Longyearbyen’ [= Svalbard, Spitsbergen, Nordenskiöld Land, Longyearbyen in the Longyeardalen S of Adventfjorden], 78.2170°N, 15.6180°E, 16.VII.2012, G.E.E. Søli, T. Ekrem & E. Stur, 2 males (NHMO 261508 and BOLD Sample ID SV1263, NHMO 261175 and BOLD Sample ID SV1266, in NHMO); ‘Svalbard, Longyearbyen’ [= Svalbard, Spitsbergen, Nordenskiöld Land, Longyearbyen in the Longyeardalen S of Adventfjorden], 78.2088°N, 15.5889°E, 14.VII.2012, G.E.E. Søli, 2 males (NHMO 261508 and BOLD Sample ID SV-NHMO91, in NHMO; BOLD Sample ID SV-NHMO94, in SDEI); ‘ Svalbard, Longyearbyen’ [= Svalbard, Spitsbergen, Nordenskiöld Land, Longyearbyen in the Longyeardalen S of Adventfjorden], 78.2130°N, 15.6040°E, 14.VII.2012, E. Stur, 2 males (NHMO 261191 and BOLD Sample ID SV1282, in NHMO; BOLD Sample ID SV1283, in MZH); Svalbard, NW part of Spitsbergen, southern coast of Kongsfjord, W of Ny Ålesund, yellow pan trap, 2–15.VII.1974, Stephan, 2 males (in NHMO, SDEI); SWEDEN, Lapland, Abisko, Naturvetenskapliga Station, meadow at the station, sweep-net, 28.VI.1988, M. von Tschirnhaus, 4 males (2 in NHMO, 2 in SDEI). BIN. BOLD:ABA5288. Discussion. The species was described from one female from Novaya Zemlya by Holmgren (1883) and later described again based on some males and females from Greenland as Sciara glacialis (Lundbeck 1898) and from Spitsbergen as Sciara permutata (Lundbeck 1900). The species was redescribed with a list of literature, synonyms and combinations by Menzel & Mohrig (2000). Trichocoelina vitticollis (Holmgren) can be distinguished from all other species of the genus by its very large, setose intergonocoxal lobe of hypopygium and in having the gonostylus with a group of slender, oblique medial megasetae. See also under Trichocoelina tecta sp. n.Published as part of Vilkamaa, Pekka & Menzel, Frank, 2019, Re-classification of Lycoriella Frey sensu lato (Diptera, Sciaridae), with description of Trichocoelina gen. n. and twenty new species, pp. 1-67 in Zootaxa 4665 (1) on pages 47-50, DOI: 10.11646/zootaxa.4665.1.1, http://zenodo.org/record/400055

    Unemployment Benefits and Unemployment Rates of Low-Skilled and Elder Workers in West Germany: A Search Equilibrium Approach

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    Approach Author & abstract Download 16 References 1 Citations Related works & more Corrections Author Listed: Launov, Andrey ([email protected]) (University of Kent) Wolff, Joachim ([email protected]) (Institute for Employment Research (IAB), Nuremberg) Klasen, Stephan ([email protected]) (University of Göttingen) Registered: Stephan Klasen Abstract In this paper we investigate whether the extension of the entitlement to unemployment benefits in the mid 80s can explain the increase in the unemployment rates of unskilled and elder workers in western Germany. To answer this question we estimate a version of the Burdett-Mortensen search equilibrium model and analyze how workers’ search behaviour responded to these reforms. We try both nonparametric and fully-parametric estimation methods and identify the cases in which the nonparametric approach cannot be applied. We find that the entitlement reforms are largely responsible for the increase of unemployment among unskilled workers

    Unemployment Benefits and Unemployment Rates of Low-Skilled and Elder Workers in West Germany: A Search Equilibrium Approach

    No full text
    Approach Author & abstract Download 16 References 1 Citations Related works & more Corrections Author Listed: Launov, Andrey ([email protected]) (University of Kent) Wolff, Joachim ([email protected]) (Institute for Employment Research (IAB), Nuremberg) Klasen, Stephan ([email protected]) (University of Göttingen) Registered: Stephan Klasen Abstract In this paper we investigate whether the extension of the entitlement to unemployment benefits in the mid 80s can explain the increase in the unemployment rates of unskilled and elder workers in western Germany. To answer this question we estimate a version of the Burdett-Mortensen search equilibrium model and analyze how workers’ search behaviour responded to these reforms. We try both nonparametric and fully-parametric estimation methods and identify the cases in which the nonparametric approach cannot be applied. We find that the entitlement reforms are largely responsible for the increase of unemployment among unskilled workers

    Measuring Vulnerability to Poverty Using Long-Term Panel Data

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    Measuring Vulnerability to Poverty Using Long-Term Panel Data Author & abstract Download & other version 16 References 4 Citations Related works & more Corrections Author Listed: Katja Landau (Georg-August-University Göttingen) Stephan Klasen (Georg-August-University Göttingen) Walter Zucchini (Georg-August-University Göttingen) Registered: Stephan Klasen Abstract We investigate the accuracy of ex ante assessments of vulnerability to income poverty using cross-sectional data and panel data. We use long-term panel data from Germany and apply di fferent regression models, based on household covariates and previous-year equivalence income, to classify a household as vulnerable or not. Predictive performance is assessed using the Receiver Operating Characteristics (ROC), which takes account of false positive as well as true positive rates. Estimates based on cross-sectional data are much less accurate than those based on panel data, but for Germany, the accuracy of vulnerability predictions is limited even when panel data are used. In part this low accuracy is due to low poverty incidence and high mobility in and out of poverty

    Measuring Vulnerability to Poverty Using Long-Term Panel Data

    No full text
    Measuring Vulnerability to Poverty Using Long-Term Panel Data Author & abstract Download & other version 16 References 4 Citations Related works & more Corrections Author Listed: Katja Landau (Georg-August-University Göttingen) Stephan Klasen (Georg-August-University Göttingen) Walter Zucchini (Georg-August-University Göttingen) Registered: Stephan Klasen Abstract We investigate the accuracy of ex ante assessments of vulnerability to income poverty using cross-sectional data and panel data. We use long-term panel data from Germany and apply di fferent regression models, based on household covariates and previous-year equivalence income, to classify a household as vulnerable or not. Predictive performance is assessed using the Receiver Operating Characteristics (ROC), which takes account of false positive as well as true positive rates. Estimates based on cross-sectional data are much less accurate than those based on panel data, but for Germany, the accuracy of vulnerability predictions is limited even when panel data are used. In part this low accuracy is due to low poverty incidence and high mobility in and out of poverty
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