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2021 ◽  
pp. 100281
Author(s):  
Dorothy Lombe ◽  
Susan Msadabwe ◽  
Mbaita Maka ◽  
Memory Samboko ◽  
Prudence Haimbe ◽  
...  

2020 ◽  
pp. 088626052097818
Author(s):  
Shabnam Iezadi ◽  
Mahasti Alizadeh ◽  
Bahram Samadirad ◽  
Ahmad Khanijahani ◽  
Hamid Pourasghari ◽  
...  

Establishment of an interpersonal-violence registry system (IPVRS) is a promising initiative to tackle violence. This qualitative study aimed to fill the gap in knowledge regarding the feasibility of establishing the IPVRS in the East-Azerbaijan province of Iran. This qualitative study using content analysis was conducted to explore the importance, challenges, and facilitating factors of establishing the IPVRS from the viewpoints of stakeholders. Forty-six individuals from the Forensic Medical Organization, the University, the Welfare Organization, the Training and Education Organization, hospitals, and primary health centers participated in the study. Six themes and 13 sub-themes were identified. The importance of the establishment of the IPVRS was sub-categorized into two main themes, including violence as a public health priority and severe consequences of violence including intensive health and social outcomes and high use of medical services. The most critical challenges of establishing the IPVRS were categorized into two main themes including victims’ under-reporting due to financial difficulties as well as psychosocial barriers and structural barriers such as organizational barriers and methodological challenges. Inter-sectoral partnership was identified as the main facilitating factor in the successful establishment of the IPVRS. The participants recommended improving the development of the IPVRS by stepwise development of the program, resource absorption from other beneficiary organizations, and making more coverage in the registry system. In conclusion, the establishment of the IPVRS is identified as an effective strategy to tackle violence-related issues. Close collaboration with different governmental and non-governmental sectors and the gradual development of the registry system can pave the way for establishing the IPVRS. This study has several implications for identifying potential challenges and facilitators of the IPVRS applicable to other developing countries with similar contexts.


2020 ◽  
pp. 149-156
Author(s):  
D.V. Rahozin ◽  

The paper considers concurrent program modeling using resource constrained automatons. Several software samples are considered: real time operational systems, video processing including object recognition, neural network inference, common linear systems solving methods for physical processes modeling. The source code annotating and automatic extraction of program resource constraints with the help of profiling software are considered, this enables the modeling for concurrent software behavior with minimal user assistance.


2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Wenxian Wang ◽  
Xingshu Chen ◽  
Haizhou Wang ◽  
Qi Zhang ◽  
Cheng Wang

With the rapid development of P2P technology, P2P IPTV applications have received more and more attention. And program resource distribution is very important to P2P IPTV applications. In order to collect IPTV program resources, a distributed multi-protocol crawler is proposed. And the crawler has collected more than 13 million pieces of information of IPTV programs from 2009 to 2012. In addition, the distribution of IPTV programs is independent and incompact, resulting in chaos of program names, which obstructs searching and organizing programs. Thus, we focus on characteristic analysis of program resources, including the distributions of length of program names, the entropy of the character types, and hierarchy depth of programs. These analyses reveal the disorderly naming conventions of P2P IPTV programs. The analysis results can help to purify and extract useful information from chaotic names for better retrieval and accelerate automatic sorting of program and establishment of IPTV repository. In order to represent popularity of programs and to predict user behavior and popularity of hot programs over a period, we also put forward an analytical model of hot programs.


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