Reproduction of World War I portrait of Dr. Nathan Wolf of the 2nd Company of the 1st Landsturm Infantry Regiment Portraits Men

Dr. Nathan Wolf's medals: (bottom left) silver Wound Badge; Iron Cross 2nd Class; Iron Cross 1st Class; Zaehringer Loewe (Baden); (on right) Medal of the Turkish Crescent

Outdoor group portrait of attendees of the International Meeting of the World Union for Progressive Judaism; London.

Includes Rabbi Leo Baeck, E.L. Ehrlich of Basel, Herbert Strauss of Bern, and Rabbi Eugen Messinger of Bern

World War I Osterschlacht (Easter Battle).

Handwritten caption: 105. Deutsche Artill. am Marsch nach Izbugyab (Osterschlacht) 3. April 1915 (German artillery marching to Izbugyab. (Easter Battle) )

World War I military portraits of Arthur Neustadt.

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Military portraits of Erich Gustav Baum as a solider during World War I Portraits Men

Includes photographs of Erich Gustav Baum with a bicycle, with other unidentified soliders, and wearing an Iron Cross

Group portrait, 2nd reunion of the World War II 75th Station Hospital; Hotel Governor, Clinton, New York Portraits Groups

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Studio portrait of five Heimann brothers in military uniform during World War I.

l-r: Albert Heimann, Leopold Heimann, Nathan Heimann, Hermann Heimann and Max Heimann; Sons of Julius and Mina Heimann

Improvement in Intrusion Detection With Advances in Sensor Fusion

Various intrusion detection systems (IDSs) reported in the literature have shown distinct preferences for detecting a certain class of attack with improved accuracy, while performing moderately on the other classes. In view of the enormous computing power available in the present-day processors, deploying multiple IDSs in the same network to obtain best-of-breed solutions has been attempted earlier. The paper presented here addresses the problem of optimizing the performance of IDSs using sensor fusion with multiple sensors. The trade-off between the detection rate and false alarms with multiple sensors is highlighted. It is illustrated that the performance of the detector is better when the fusion threshold is determined according to the Chebyshev inequality. In the proposed data-dependent decision ( DD) fusion method, the performance optimization of ndividual IDSs is first addressed. A neural network supervised learner has been designed to determine the weights of individual IDSs depending on their reliability in detecting a certain attack. The final stage of this DD fusion architecture is a sensor fusion unit which does the weighted aggregation in order to make an appropriate decision. This paper theoretically models the fusion of IDSs for the purpose of demonstrating the improvement in performance, supplemented with the empirical evaluation.

Surgical fusion of early onset severe scoliosis increases survival in Rett syndrome: A cohort study

Aim Scoliosis is a common co-morbidity in Rett syndrome and spinal fusion may be recommended if severe. We investigated the impact of spinal fusion on survival and risk of severe lower respiratory tract infection in Rett syndrome. Method Data were ascertained from hospital medical records, the Australian Rett Syndrome Database, a longitudinal and population-based registry, and from the Australian Institute of Health and Welfare National Death Index database. Cox regression and generalized estimating equation models were used to estimate the effects of spinal surgery on survival and severe respiratory infection respectively in 140 females who developed severe scoliosis (Cobb angle ≥45°) before adulthood. Results After adjusting for mutation type and age of scoliosis onset, the rate of death was lower in the surgery group (hazard ratio [HR] 0.30, 95% confidence interval [CI] 0.12–0.74; p=0.009) compared to those without surgery. Rate of death was particularly reduced for those with early onset scoliosis (HR 0.17, 95% CI 0.06–0.52; p=0.002). There was some evidence to suggest that spinal fusion was associated with a reduction in risk of severe respiratory infection among those with early onset scoliosis (risk ratio 0.41, 95% CI 0.16–1.03; p=0.06). Interpretation With appropriate cautions, spinal fusion confers an advantage to life expectancy in Rett syndrome.

Poem for Ludwig Davidsohn, died in World War I Documents and Publications

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ICPH 2671 – the world's first commercial food legume hybrid

ICRISAT scientists, working with Indian programme counterparts, developed the world's first cytoplasmic-nuclear male sterility (CMS)-based commercial hybrid in a food legume, the pigeonpea [Cajanus cajan (L.) Millsp.]. The CMS, in combination with natural outcrossing of the crop, was used to develop viable hybrid breeding technology. Hybrid ICPH 2671 recorded 47% superiority for grain yield over the control variety ‘Maruti’ in multilocation on-station testing for 4 years. In the on-farm trials conducted in five Indian states, mean yield of this hybrid (1396 kg/ha) was 46.5% greater than that of the popular cv. ‘Maruti’ (953 kg/ha). Hybrid ICPH 2671 also exhibited high levels of resistance to Fusarium wilt and sterility mosaic diseases. The outstanding performance of this hybrid has led to its release for cultivation in India by both a private seed company (as ‘Pushkal’) and a public sector university (as ‘RV ICPH 2671’). Recent developments in hybrid breeding technology and high yield advantages realized in farmers' fields have given hope for a breakthrough in pigeonpea productivity.