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11/15/2024

Serial Killer László Csatáry: Terror in Budapest in the Late 1960s

Learn about the case of László Csatáry, a serial killer from Budapest who haunted the late 1960s. The chronology, motive, and aftermath are revealed in full.

Full Article: https://malangpostnews.co.id/455/pembunuh-berantai-laszlo-csatary-teror-di-budapest-pada-akhir-1960-an/

#malangpostnews #Lust #Wrath #Gluttony #Budapest1960 #LászlóCsatáry #SejarahKriminal #Hungaria

11/13/2024

Attila Ambrus, The Whiskey Robber: The Story of a Legendary Robber from Eastern Europe

Discover the legendary story of Attila Ambrus, the bank robber nicknamed 'The Whiskey Robber,' made famous in Hungary. From hard times in Transylvania to becoming a symbol of social resistance in Eastern Europe, his story is full of daring stunts and intrigue that captured the world's attention.

Full Article: https://malangpostnews.co.id/435/attila-ambrus-the-whiskey-robber-kisah-perampok-legendaris-dari-eropa-timur/

#malangpostnews #Envy #Sloth #Pride #Greed #LegendaHungaria #Attilaambrus #Hungaria

10/15/2024


Support vector machine (SVM) is a popular classification method for analysis of high dimensional data such as genomics data. Recently a number of linear SVM methods have been developed to achieve feature selection through either frequentist regularization or Bayesian shrinkage, but the linear assumption may not be plausible for many real applications. In addition, recent work has demonstrated that incorporating known biological knowledge, such as those from functional genomics, into the statistical analysis of genomic data offers great promise of improved predictive accuracy and feature selection. Such biological knowledge can often be represented by graphs. In this article, we propose a novel knowledge-guided nonlinear Bayesian SVM approach for analysis of high-dimensional data. Our model uses graph information that represents the relationship among the features to guide feature selection. To achieve knowledge-guided feature selection, we assign an Ising prior to the indicators representing inclusion/exclusion of the features in the model. An efficient MCMC algorithm is developed for posterior inference. The performance of our method is evaluated and compared with several penalized linear SVM and the standard kernel SVM method in terms of prediction and feature selection in extensive simulation studies. Also, analyses of genomic data from a cancer study show that our method yields a more accurate prediction model for patient survival and reveals biologically more meaningful results than the existing methods.CCD photometric observations of four main-belt and one near-Earth asteroid were made in 2019. Of these, the Vestoid 2602 Moore and Hungaria (27568) 2000 PT6 were confirmed to be binary asteroids. The Hungaria 3880 Kaiserman is a suspected binary. Near-Earth asteroid (142040) 2002 QE15 was found to have a long period (46.4 h). Re-evaluation of data for the asteroid from two previous apparitions found a secondary period that is consistent with the system being a candidate for the rare class of very wide binary asteroids. New analysis of the data from 2016 for Phocaea member 2937 Gibbs found two periods (the second being ambiguous). It could not be determined if the asteroid is binary or in a tumbling state.We present lists of asteroid photometry opportunities for objects reaching a favorable apparition and have no or poorly-defined lightcurve parameters. Additional data on these objects will help with shape and spin axis modeling via lightcurve inversion. We also include lists of objects that will or might be radar targets. Lightcurves for these objects can help constrain pole solutions and/or remove rotation period ambiguities that might not come from using radar data alone.Lightcurves for four L5 Jovian Trojan asteroids were obtained at the Center for Solar System Studies (CS3) from 2019 January to March. The suspected binary Trojan, 2207 Antenor was observed again and a single attenuation event was detected.CCD photometric observations of 10 main-belt asteroids were obtained from the Center for Solar System Studies from 2019 January to March. In light of recent period analysis, images of 2120 Tyumenia obtained in 2004 were re-examined. The resulting analysis found a period of 17.515 h, which is consistent with the recent results.We present lists of asteroid photometry opportunities for objects reaching a favorable apparition and have no or poorly-defined lightcurve parameters. Additional data on these objects will help with shape and spin axis modeling via lightcurve inversion. We also include lists of objects that will or might be radar targets. Lightcurves for these objects can help constrain pole solutions and/or remove rotation period ambiguities that might not come from using radar data alone.CCD photometric observations of the inner main-belt asteroid (20882) 2000 VH57 were made from 2018 Sept. 15 through Oct. 20. Analysis of the data showed that the asteroid is binary with a primary rotational period of 2.5586 hr and a satellite orbital period of 32.81 hr. Mutual eclipse/occultation events indicate a lower limit on the secondary-to-primary mean diameter ratio (Ds/Dp) of 0.23. During the period of observations, the primary and secondary lightcurves evolved as the viewing aspect changed. In particular, the depth of the secondary event increased significantly towards the end of the observations.Lightcurves for four Hilda asteroids were obtained at the Center for Solar System Studies (CS3) from 2018 September-November 3514 Hooke, 3557 Sokolsky, 4495 Dassanowksy, and 10331 Peterbluhm. 4495 Dassanowksy appears to be a binary asteroid with a primary period of either 2.6314 hr or 5.263 hr and an orbital period of 18.516 hr. The secondary-to-primary ratio of the effective diameters is 0.26 ± 0.02.Lightcurves for 32 near-Earth asteroids (NEAs) obtained at the Center for Solar System Studies (CS3) from 2018 September-December were analyzed for rotation period and signs of satellites or tumbling.In the last five years, deep learning (DL) has become the state-of-the-art tool for solving various tasks in medical image analysis. Among the different methods that have been proposed to improve the performance of Convolutional Neural Networks (CNNs), one typical approach is the augmentation of the training data set through various transformations of the input image. Data augmentation is typically used in cases where a small amount of data is available, such as the majority of medical imaging problems, to present a more substantial amount of data to the network and improve the overall accuracy. However, the ability of the network to improve the accuracy of the results when a slightly modified version of the same input is presented is often overestimated. This overestimation is the result of the strong correlation between data samples when they are considered independently in the training phase. In this paper, we emphasize the importance of optimizing for accuracy as well as precision among multiple replicates of the same training data in the context of data augmentation. To this end, we propose a new approach that leverages the augmented data to help the network focus on the precision through a specifically-designed loss function, with the ultimate goal to improve both the overall performance and the network's precision at the same time. https://www.selleckchem.com/products/ots964.html We present two different applications of DL (regression and segmentation) to demonstrate the strength of the proposed strategy. We think that this work will pave the way to a explicit use of data augmentation within the loss function that helps the network to be invariant to small variations of the same input samples, a characteristic that is always required to every application in the medical imaging field.

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11/15/2024

Serial Killer László Csatáry: Terror in Budapest in the Late 1960s

Learn about the case of László Csatáry, a serial killer from Budapest who haunted the late 1960s. The chronology, motive, and aftermath are revealed in full.

Full Article: https://malangpostnews.co.id/455/pembunuh-berantai-laszlo-csatary-teror-di-budapest-pada-akhir-1960-an/

#malangpostnews #Lust #Wrath #Gluttony #Budapest1960 #LászlóCsatáry #SejarahKriminal #Hungaria

11/13/2024

Attila Ambrus, The Whiskey Robber: The Story of a Legendary Robber from Eastern Europe

Discover the legendary story of Attila Ambrus, the bank robber nicknamed 'The Whiskey Robber,' made famous in Hungary. From hard times in Transylvania to becoming a symbol of social resistance in Eastern Europe, his story is full of daring stunts and intrigue that captured the world's attention.

Full Article: https://malangpostnews.co.id/435/attila-ambrus-the-whiskey-robber-kisah-perampok-legendaris-dari-eropa-timur/

#malangpostnews #Envy #Sloth #Pride #Greed #LegendaHungaria #Attilaambrus #Hungaria

10/15/2024


Support vector machine (SVM) is a popular classification method for analysis of high dimensional data such as genomics data. Recently a number of linear SVM methods have been developed to achieve feature selection through either frequentist regularization or Bayesian shrinkage, but the linear assumption may not be plausible for many real applications. In addition, recent work has demonstrated that incorporating known biological knowledge, such as those from functional genomics, into the statistical analysis of genomic data offers great promise of improved predictive accuracy and feature selection. Such biological knowledge can often be represented by graphs. In this article, we propose a novel knowledge-guided nonlinear Bayesian SVM approach for analysis of high-dimensional data. Our model uses graph information that represents the relationship among the features to guide feature selection. To achieve knowledge-guided feature selection, we assign an Ising prior to the indicators representing inclusion/exclusion of the features in the model. An efficient MCMC algorithm is developed for posterior inference. The performance of our method is evaluated and compared with several penalized linear SVM and the standard kernel SVM method in terms of prediction and feature selection in extensive simulation studies. Also, analyses of genomic data from a cancer study show that our method yields a more accurate prediction model for patient survival and reveals biologically more meaningful results than the existing methods.CCD photometric observations of four main-belt and one near-Earth asteroid were made in 2019. Of these, the Vestoid 2602 Moore and Hungaria (27568) 2000 PT6 were confirmed to be binary asteroids. The Hungaria 3880 Kaiserman is a suspected binary. Near-Earth asteroid (142040) 2002 QE15 was found to have a long period (46.4 h). Re-evaluation of data for the asteroid from two previous apparitions found a secondary period that is consistent with the system being a candidate for the rare class of very wide binary asteroids. New analysis of the data from 2016 for Phocaea member 2937 Gibbs found two periods (the second being ambiguous). It could not be determined if the asteroid is binary or in a tumbling state.We present lists of asteroid photometry opportunities for objects reaching a favorable apparition and have no or poorly-defined lightcurve parameters. Additional data on these objects will help with shape and spin axis modeling via lightcurve inversion. We also include lists of objects that will or might be radar targets. Lightcurves for these objects can help constrain pole solutions and/or remove rotation period ambiguities that might not come from using radar data alone.Lightcurves for four L5 Jovian Trojan asteroids were obtained at the Center for Solar System Studies (CS3) from 2019 January to March. The suspected binary Trojan, 2207 Antenor was observed again and a single attenuation event was detected.CCD photometric observations of 10 main-belt asteroids were obtained from the Center for Solar System Studies from 2019 January to March. In light of recent period analysis, images of 2120 Tyumenia obtained in 2004 were re-examined. The resulting analysis found a period of 17.515 h, which is consistent with the recent results.We present lists of asteroid photometry opportunities for objects reaching a favorable apparition and have no or poorly-defined lightcurve parameters. Additional data on these objects will help with shape and spin axis modeling via lightcurve inversion. We also include lists of objects that will or might be radar targets. Lightcurves for these objects can help constrain pole solutions and/or remove rotation period ambiguities that might not come from using radar data alone.CCD photometric observations of the inner main-belt asteroid (20882) 2000 VH57 were made from 2018 Sept. 15 through Oct. 20. Analysis of the data showed that the asteroid is binary with a primary rotational period of 2.5586 hr and a satellite orbital period of 32.81 hr. Mutual eclipse/occultation events indicate a lower limit on the secondary-to-primary mean diameter ratio (Ds/Dp) of 0.23. During the period of observations, the primary and secondary lightcurves evolved as the viewing aspect changed. In particular, the depth of the secondary event increased significantly towards the end of the observations.Lightcurves for four Hilda asteroids were obtained at the Center for Solar System Studies (CS3) from 2018 September-November 3514 Hooke, 3557 Sokolsky, 4495 Dassanowksy, and 10331 Peterbluhm. 4495 Dassanowksy appears to be a binary asteroid with a primary period of either 2.6314 hr or 5.263 hr and an orbital period of 18.516 hr. The secondary-to-primary ratio of the effective diameters is 0.26 ± 0.02.Lightcurves for 32 near-Earth asteroids (NEAs) obtained at the Center for Solar System Studies (CS3) from 2018 September-December were analyzed for rotation period and signs of satellites or tumbling.In the last five years, deep learning (DL) has become the state-of-the-art tool for solving various tasks in medical image analysis. Among the different methods that have been proposed to improve the performance of Convolutional Neural Networks (CNNs), one typical approach is the augmentation of the training data set through various transformations of the input image. Data augmentation is typically used in cases where a small amount of data is available, such as the majority of medical imaging problems, to present a more substantial amount of data to the network and improve the overall accuracy. However, the ability of the network to improve the accuracy of the results when a slightly modified version of the same input is presented is often overestimated. This overestimation is the result of the strong correlation between data samples when they are considered independently in the training phase. In this paper, we emphasize the importance of optimizing for accuracy as well as precision among multiple replicates of the same training data in the context of data augmentation. To this end, we propose a new approach that leverages the augmented data to help the network focus on the precision through a specifically-designed loss function, with the ultimate goal to improve both the overall performance and the network's precision at the same time. https://www.selleckchem.com/products/ots964.html We present two different applications of DL (regression and segmentation) to demonstrate the strength of the proposed strategy. We think that this work will pave the way to a explicit use of data augmentation within the loss function that helps the network to be invariant to small variations of the same input samples, a characteristic that is always required to every application in the medical imaging field.

10/12/2024


Namun demikian, sementara delegasi nasional mendeklarasikan bahwa kerajaan tersebut seperti halnya terdiri dari satu orang, tetapi dengan tiga nama- Serbia, Kroasia, dan Slovenia- sensus terakhir yang dilakukan Austro-Hungaria pada tahun 1910 mengindikasikan bahwa di daerah yang termasuk wilayah negara baru tersebut, sekurangnya terdapat sembilan kelompok etnis berbeda yang hidup berdampingan disana. Lukisan-lukisan dinding pertama dilukis oleh seniman asing, tetapi dengan berselangnya waktu seniman-seniman setempat juga mulai memproduksinya. Amir juga sering membaca karya sastra Arab, Persia, dan Hindu. Ketika berkomentar tentang kesuksesan "Gangnam Style", The Daily Telegraph merekomendasikan "Fantastic Baby" kepada para pembacanya, menyoroti "eksentrisitas gaya berpakaian dan kelebihan" dalam video. Type Rolling in the deep in the "Search BPI Awards" field and then press Enter. Ann O'M. Bowman and Richard C. Kearney, State and Local Government: The Essentials (2008) hal.

Hal ini diharapkan bisa mempercepat reaksi PBB dalam mengatasi berbagai konflik bersenjata. Hal ini berguna untuk observasi konstan untuk satu tempat di bumi. Edisi ini melihat peningkatan jumlah pemain pendahuluan dengan 35 pemain dapat didaftarkan; tim akan dapat menurunkan enam pemain asing dalam pertandingan, di mana salah satu pemain tersebut harus masih berasal dari negara Asia lainnya. Jika tidak ada perkiraan terpisah, jumlah di kolom ini sama dengan jumlah yang dilaporkan di kolom 'Dipastikan'. Ukuran masing-masing sel, dan jumlah sel, berubah secara hebat dari komputer ke komputer, dan teknologi dalam pembuatan memori sudah berubah secara hebat - dari relai elektromekanik, ke tabung yang diisi dengan air raksa (dan kemudian pegas) di mana pulsa akustik terbentuk, sampai matriks magnet permanen, ke setiap transistor, ke sirkuit terpadu dengan jutaan transistor di atas satu chip silikon. Prosedur ini berulang sampai komputer dimatikan. ENIAC, komputer awal AS awalnya dibuat untuk memperhitungkan tabel ilmu balistik untuk persenjataan (artileri), menghitung kerapatan penampang neutron untuk melihat jika bom hidrogen akan bekerja dengan semestinya (perhitungan ini, yang dilakukan pada Desember 1945 sampai Januari 1946 dan melibatkan dala dalam lebih dari satu juta Punch card, memperlihatkan bentuk lalu di bawah pertimbangan akan gagal).

https://elevateducation.com/members/paperangle7/activity/1077313/ , kebanyakan komputer dapat melakukan beberapa program sekaligus. Dalam pengertian ini, sistem komputer digital adalah contoh sistem pengolah data. Indonesia menganut sistem politik demokrasi. Artikel bertopik geografi atau tempat Indonesia ini adalah sebuah rintisan. Sistem operasi, menentukan program mana yang akan dijalankan, kapan, dan alat yang mana (seperti memori atau I/O) yang mereka gunakan. Dengan berlangsungnya proses dekolonialisasi, prinsip penentuan nasib sendiri yang definisinya dalam Piagam PBB bersifat samar-samar, semakin berkembang menjadi “hak” untuk menentukan nasib sendiri. Laba merupakan elemen yang paling menjadi perhatian karena angka laba diharapkan cukup untuk merepresentasi kinerja perusahaan secara keseluruhan. Sebelum tahun 1850, saldo untung memberi sekitar 19% dari keseluruhan pendapatan. Menurut laporan kebebasan beragama pemerintah AS tahun 2012, pada tahun 2004 Universitas Lomé memperkirakan bahwa 33% penduduknya menganut animisme tradisional, 28% beragama Katolik Roma, 20% Muslim Sunni, 9% Protestan, 5% Kristen lainnya, dan 5% sisanya orang-orang yang tidak berafiliasi dengan kelompok agama mana pun.