The Application of the Development of Customary Inheritance Law According to the Jurisprudence of the Supreme Court

Customary inheritance law is influenced by the three kinship system. The Indonesian indigenous peoples, if there is a dispute about inheritance customs, completed the family council, if the hearts of deliberation families not bring results, then the Settlement shown to the Indigenous Institute, but when hearts division of inheritance still feel less satisfied BY Decision Traditional Leader Then Settlement of inheritance can be resolved in the court. Application of norms The jurisprudence of the Supreme Court Third hearts kinship system can be implemented yet, due to lack of knowledge of indigenous peoples against jurisprudence. Jurisprudence singer known only hearts Verdict The heritage dispute resolved by the Court InstituteIntisariHukum waris adat masih dipengaruhi tiga sistem kekerabatan Pada masyarakat adat jika terjadi sengketa waris adat, diselesaikan musyawarah keluarga, apabila dalam musyawarah keluarga tidak membawa hasil, maka penyelesaian kepada lembaga adat, namun apabila dalam pembagian harta waris masih merasa kurang puas dengan putusan ketua adat maka penyelesaian waris dapat diselesaikan di pengadilan. Penerapan norma Yurisprudensi Mahkamah Agung dalam ketiga sistem kekerabatan belum dapat dilaksanakan, disebabkan kurangnya pengetahuan masyarakat adat terhadap yurisprudensi. Yurisprudensi ini hanya dikenal dalam putusan sengketa warisan yang diselesaikan oleh lembaga pengadilan

Photoelectron spectra of finite-thickness layers

A method of computing x-ray photoemission spectra in the wide range of energy losses and different sighting angles is presented. Photoemission spectra for layers of finite thickness are investigated. Angular and energy spectra are analyzed using the invariant imbedding principle. They are computed using small-angle approximation and the exact numerical solution of the multiple photoelectron scattering events in solids. The presented methods of x-ray photoemission spectra analysis are compared regarding their efficiencies. Comparison of the exact numerical solution to those based on straight line approximation and small-angle approximation reveals an error in straight line approximation of about 50%. Numerical solutions are compared with the experimental data and Monte-Carlo simulations

ENTRY AND EXIT FROM FARMING IN NORTH CAROLINA, 1978-87

Herein, we report the first site-selective, Pd(II)-catalyzed, cross-dehydrogenative Heck reaction of indoles in micro flow. By use of a capillary microreactor, we were able to boost the intrinsic kinetics to accelerate former hour-scale reaction conditions in batch to the minute range in flow. The synergistic use of microreactor technology and oxygen, as both terminal oxidant and mixing motif, highlights the sustainable aspect of this process.Hannes P. L. Gemoets, Volker Hessel and Timothy Noë

SSP: Early prediction of sepsis using fully connected LSTM-CNN model.

Background: Sepsis is a life-threatening condition that occurs due to the body's reaction to infections, and it is a leading cause of morbidity and mortality in hospitals. Early prediction of sepsis onset facilitates early interventions that promote the survival of suspected patients. However, reliable and intelligent systems for predicting sepsis are scarce.Methods: This paper presents a novel technique called Smart Sepsis Predictor (SSP) to predict sepsis onset in patients admitted to an intensive care unit (ICU). SSP is a deep neural network architecture that encompasses long short-term memory (LSTM), convolutional, and fully connected layers to achieve early prediction of sepsis. SSP can work in two modes; Mode 1 uses demographic data and vital signs, and Mode 2 uses laboratory test results in addition to demographic data and vital signs. To evaluate SSP, we have used the 2019 PhysioNet/CinC Challenge dataset, which includes the records of 40,366 patients admitted to the ICU.Results: To compare SSP with existing state-of-the-art methods, we have measured the accuracy of the SSP in 4-, 8-, and 12-h prediction windows using publicly available data. Our results show that the SSP performance in Mode 1 and Mode 2 is much higher than existing methods, achieving an area under the receiver operating characteristic curve (AUROC) of 0.89 and 0.92, 0.88 and 0.87, and 0.86 and 0.84 for 4 h, 8 h, and 12 h before sepsis onset, respectively.Conclusions: Using ICU data, sepsis onset can be predicted up to 12 h in advance. Our findings offer an early solution for mitigating the risk of sepsis onset

Surface geodesic pattern for 3D deformable texture matching

© 2016 Elsevier Ltd This paper presents a Surface Geodesic Pattern (SGP) representation for matching textured 3D deformable surfaces. SGP encodes the local variations of the surface texture derivatives to extract local information from distinctive textural relationships contained in a geodesic neighborhood. Thus, SGP derives its strength from the fusion of surface texture and shape information at the data level in a way that is invariant to non-rigid deformations. We also propose Gabor Topography Wavelet (GTW) for direct feature extraction from the range data. Both features are combined using a multi-view sparse representation to achieve higher discrimination capability while matching non-rigid 3D surfaces. The performance of the proposed method is evaluated extensively on the Bosphorus face database, the FRGC v2 face database, and the PolyU contact-free hand database and the results are compared to state-of-the-art methods. Experimental results show the effectiveness and superiority of the proposed method in recognizing objects under non-rigid surface deformations