PENERAPAN SANKSI PIDANA MATI DALAM TINDAK PIDANA KORUPSI TERHADAP DANA BANTUAN SOSIAL (BANSOS) KONDISI DARURAT DIHUBUNGKAN DENGAN PENGAMBIL KEPUTUSAN

Elucidation of Article 2 paragraph (2) of Law Number 31 of 1999 as amended by Law Number 20 of 2001 concerning the Eradication of Criminal Acts of Corruption is formulated that: a state of danger in accordance with applicable laws and regulations, in the event of a national natural disaster occurring , as a repetition of criminal acts of corruption, or when the country is in a state of economic and monetary crisis.” The research method used is a normative juridical approach and a normative juridical research specification. While the data analysis used a qualitative juridical method. The basis for the weighting reason for corruption, as done by Julian Peter Batubara. The basis for using covid 19 as a ballast reason is Presidential Decree No. 11 of 2020 concerning the Determination of Public Health Emergency Corona Virus Disease 2019 (Covid 19) and Presidential Decree No. 12 of 2020 concerning the Determination of Non-Natural Disasters for the Spread of Corona Virus Disease 2019 (Covid 19) and in a state of emergency. The perpetrators of criminal acts of corruption can be sentenced to the death penalty. If the suspicion is then that the indictment is only related to Article 11 or Article 12, it cannot be prosecuted and sentenced to death, it can be sentenced to death if there is use of Article 2 of the Anti-Corruption Law in that case.   Keywords: Death Penalty, Social Assistance Corruption, Decision Maker

Cranial size and shape sexual dimorphism in the Kangal dog from Turkey

This study has so far been the first attempt to characterize and quantify skull sexual variation in Kangal dog, by means of geometric morphometric techniques. A sample of 16 adult Kangal crania has been analyzed with this purpose. To obtain a full image of morphological pattern, digital pictures were taken from the ventral, left lateral, and dorsal sides of each skull, and a total of 16, 15, and 16 landmarks respectively were obtained on each image. Skull size and shape differed significantly in all aspects among different sexes, male skulls being bigger. Shape differences were observed mainly on zygomatic arch and muzzle on the dorsal view, pterygoid bone and articular surface to mandibular condyle in the lateral aspect, and cranial width and maxillary bone on the ventral view. Although the sample was comparatively small in number, being the first geometric morphometric approach applied on the Kangal dog, the obtained results will add vital information particularly to understand the cranial shape sexual dimorphism of this unique dog breed in Turkey

HActivityNet: A Deep Convolutional Neural Network for Human Activity Recognition

Human Activity Recognition (HAR), a vast area of a computer vision research, has gained standings in recent years due to its applications in various fields. As human activity has diversification in action, interaction, and it embraces a large amount of data and powerful computational resources, it is very difficult to recognize human activities from an image. In order to solve the computational cost and vanishing gradient problem, in this work, we have proposed a revised simple convolutional neural network (CNN) model named Human Activity Recognition Network (HActivityNet) that is automatically extract and learn features and recognize activities in a rapid, precise and consistent manner. To solve the problem of imbalanced positive and negative data, we have created two datasets, one is HARDataset1 dataset which is created by extracted image frames from KTH dataset, and another one is HARDataset2 dataset prepared from activity video frames performed by us. The comprehensive experiment shows that our model performs better with respect to the present state of the art models. The proposed model attains an accuracy of 99.5% on HARDatase1 and almost 100% on HARDataset2 dataset. The proposed model also performed well on real data

Craneometric canine types are well expressed at the level of the zygomatic arch conformation

Dentro del espectro de conformación del cráneo, se reconocen generalmente tres amplias categorías que se corresponden con el concepto de biotipo cefálico, determinado por el Índice Cefálico. El Estos tres biotipos cefálicos son: el braquiocefálico, mesaticefálico y dolicocefálico, pero están basados en medidas lineales. A fin de revisar esta clasificación en base a su geometría, se estudiaron 53 cráneos de perros adultos, correspondientes a los tres grupos craneométricos descritos: 16 braquicéfalos, 20 mesaticéfalos y 17 dolicocéfalos. Para ello se obtuvieron fotografías en el plano ventral, en las que posteriormente se ubicaron 17 hitos anatómicos que se analizaron mediante técnicas de morfometría geométrica. De estos hitos, 5 correspondían a la zona neurocraneal y el resto al esplacnocráneo. Los tres grupos craneométricos mostraron diferencias estadísticamente significativas entre ellos tanto por el tamaño como por la forma. Las variables que contribuyeron más a explicar la diferenciación fueron las ubicadas en el margen más lateral de los arcos cigomáticos y en la base de este mismo arco. Las variables esplacnocraneales presentaban una alometría mucho más marcada que las neurocráneos. Puesto que el arco cigomático debe ser considerado como parte del esplacnocráneo, sugerimos que es tan importante el índice cefálico (que tiene en cuenta la máxima anchura de la cabeza) como el facial (que tiene en cuenta la máxima anchura de la cara). La conformación neurocraneal sería mucho más conservativa y por ende el índice craneal, de mucho menor poder discriminatorio entre grupos. El cambio entre tipos se debería a los músculos masetero y temporal, que tienen su inserción en el arco.Within the wide conformation of skull spectrum, there are generally three recognized broad categories that correspond to the concept of cephalic biotype, determined by the cephalic index. The three cephalic biotypes are: brachiocephalic, mesaticephalic and dolichocephalic, which are based on linear measures. In order to revise this classification based on its geometry, we studied 53 skulls of adult dogs, corresponding to the three craneometric groups previously described: 16 brachycephalic, 20 mesaticephalic and 17 dolichocephalic. Images on ventral plane were obtained and 17 anatomical landmarks were subsequently located and analyzed by means of geometric morphometric techniques. Five of those landmarks corresponded to the neurocraneal area and the rest of the splanchnocranium. The three craneometric groups showed statistically significant differences between them for both size and shape. The variables that contributed to the differentiation between them were located along the edge of the zygomatic arches and on the basis of this arch. Splanchnocranial variables also presented a much more marked allometry than the neurocraneal variables. Since the zygomatic arch should be considered as part of the splanchnocranium, we suggest that the cephalic index (which takes into account the maximum width of the head) is as important as the facial index (which takes into account the maximum width of the face). The neurocraneal index would be much more conservative, and therefore less discriminatory between the groups