PERBANDINGAN POLA BENTUK SIDIK BIBIR ANTARA SUKU ASLI MENTAWAI DAN SUKU CAMPURAN MENTAWAI

One of studies that plays a role in human identification in disaster and crime is forensic odontology. There are several methods of identification in forensic odontology, one of the alternative methods is cheiloscopy which is used to identify lip print pattern. Lip print pattern is identical in each person, lip print can identify gender and human race. Mentawai ethnic is a part of Proto-Melayu race which dominates Mentawai island district area. Familial relationship in Mentawai ethnic is patrilineal the tribe is derived from father’s tribe. This study aimed to compare the shape of lip print pattern between Mentawai original ethnic and Mentawai mixed ethnic. This study is a descriptive study with cross-sectional approach. The samples in this study were 16 pairs of Mentawai ethnic and 16 pairs of mixed Mentawai ethnic, the sample were selected using purposive sampling method. Lip print in study models were marked using colour pen, and the shape pattern of lip prints were observed and measured according to Suzuki and Tsuchihashi classification. Results of this study showed that there are differences in the pattern of lip prints between Mentawai ethnic and mixed Mentawai ethnic. Mentawai ethnic has dominan type of lip prints is type I, type II, and type IV while mixed Mentawai ethnic has dominan type of lip prints is type IV, type I, dan type III. The conclusion is there is a difference pattern of lip prints due to racial factors.

Construction of the Policy Network Analysis Framework for the Implementation of China’s Higher Education Informatization Policy

The research on higher education informatization policy is actually a theoretical abstraction of realistic policy implementation, and it is also a research direction that is fully applicable to China’s local application and theoretical interpretation. Due to the special nature of education policy, it is not advisable to explain policy results purely based on actors or structural characteristics of the policy network. It should be more in line with the social reality of multi-party’s full participation in benefit games, multiple social organizations, and the social difference pattern of China, and step from the causality between a specific policy network and a specific policy result towards a concrete policy network interpretation framework.

A Low Computational Complexity DOA Estimation using Sum/difference Pattern based on DNN

Tracking low-elevation targets over an uneven surface is challenging because of the complicated and volatile multipath signals. Multipath signals cause the amplitude and phase distortion of direct signal, which degrades the performance and generates mismatch between existing classical multipath signal and actual model. Machine learning-based methods are data-driven, they do not rely on prior assumptions about array geometries, and are expected to adapt better to array imperfections. The amplitude comparison Direction-of-Arrival (DOA) algorithm performs a few calculations, has a simple system structure, and is widely used. In this paper, an efficient DOA estimation approach based on Sum/Difference pattern is merged with deep neural network. Fully learn the potential features of the direct signal from the echo signal. In order to integrate more phase features, the covariance matrix is applied to the amplitude comparison algorithm, it can accommodate multiple snapshot signals instead of a single pulse automatically. The outputs of the deep neural network (DNN) are concatenated to reconstruct a covariance matrix for DOA estimation. Moreover, the superiority in computational complexity and generalization of proposed method are proved by simulation experiments compared with state-of-the-art physics-driven and data-driven methods. Field data sets acquired from a VHF array radar are carried out to verify the proposed method satisfies practicability in the severe multipath effect.

Distributed temporal graph analytics with GRADOOP

Temporal property graphs are graphs whose structure and properties change over time. Temporal graph datasets tend to be large due to stored historical information, asking for scalable analysis capabilities. We give a complete overview of Gradoop, a graph dataflow system for scalable, distributed analytics of temporal property graphs which has been continuously developed since 2005. Its graph model TPGM allows bitemporal modeling not only of vertices and edges but also of graph collections. A declarative analytical language called GrALa allows analysts to flexibly define analytical graph workflows by composing different operators that support temporal graph analysis. Built on a distributed dataflow system, large temporal graphs can be processed on a shared-nothing cluster. We present the system architecture of Gradoop, its data model TPGM with composable temporal graph operators, like snapshot, difference, pattern matching, graph grouping and several implementation details. We evaluate the performance and scalability of selected operators and a composed workflow for synthetic and real-world temporal graphs with up to 283 M vertices and 1.8 B edges, and a graph lifetime of about 8 years with up to 20 M new edges per year. We also reflect on lessons learned from the Gradoop effort.

Technique for spatial interference reduction and its application in monopulse radar with active phased array antenna

The paper describes monopulse radar with sidelobe-blanking system. The antenna of the sidelobe-blanking system is one subarray of the radar’s active phased array antenna. The elements of the subarray is also used for sum and difference pattern generation. It is shown that if aperture distribution required to produce low-sidelobe sum pattern is used, the pattern of one subarray will satisfy the requrements for antenna of the sidelobe-blanking system. An example of designing the monopulse radar with sidelobe-blanking system is presented. Sum pattern of the radar anettena is produced with different low-sidelobe pattern synthesis procedures. The analysis of monopulse radar parameters and sidelobe-blanking system performance is done.

Time Course and Sex Effects of α-Linolenic Acid-Rich and DHA-Rich Supplements on Human Plasma Oxylipins: A Randomized Double-Blind Crossover Trial

ABSTRACT Background Differences in health effects of dietary α-linolenic acid (ALA) and DHA are mediated at least in part by differences in their effects on oxylipins. Objectives Time course and sex differences of plasma oxylipins in response to ALA- compared with DHA-rich supplements were examined. Methods Healthy men and women, aged 19–34 y and BMI 18–28 kg/m2, were provided with capsules containing ∼4 g/d of ALA or DHA in a randomized double-blind crossover study with >6-wk wash-in and wash-out phases. Plasma PUFA and oxylipin (primary outcome) concentrations at days 0, 1, 3, 7, 14, and 28 of supplementation were analyzed by GC and HPLC-MS/MS, respectively. Sex differences, supplementation and time effects, and days to plateau were analyzed. Results ALA supplementation doubled ALA concentrations, but had no effects on ALA oxylipins after 28 d, whereas DHA supplementation tripled both DHA and its oxylipins. Increases in DHA oxylipins were detected as early as day 1, and a plateau was reached by days 5–7 for 11 of 12 individual DHA oxylipins and for total DHA oxylipins. Nine individual DHA oxylipins reached a plateau in females with DHA supplementation, compared with only 4 in males. A similar time course and sex difference pattern occurred with EPA and its oxylipins with DHA supplementation. DHA compared with ALA supplementation also resulted in higher concentrations of 4 individual arachidonic acids, 1 linoleic acid, and 1 dihomo-γ-linolenic acid oxylipin, despite not increasing the concentrations of these fatty acids, further demonstrating that oxylipins do not always reflect their precursor PUFA. Conclusions DHA compared with a similar dose of ALA has greater effects on both n–3 and n–6 oxylipins in young, healthy adults, with differences in response to DHA supplementation occurring earlier and being greater in females. These findings can help explain differences in dietary effects of ALA and DHA. This study was registered at clinicaltrials.gov as NCT02317588.