War In The Pacific Matrix Games

[Fortun Bawa]

Overallthe global SDG-HS-NTM concordance matrix contains 119 entries, of which 42 entries are evaluated to have direct intended impact on the following SDGs: SDG 2 on ending hunger, SDG 3 on health, SDG 6 on water, SDG 7 on energy, SDG 11 on cities and human settlements, SDG 12 on sustainable consumption and production, SDG 14 on life below water, SDG 15 on life on land, and SDG 16 on peace and crime. These 42 entries are used in the quantitative analysis of the data from the TRAINS database. The rest of the entries recorded in the matrix cover the full set of SDGs and are either too ambiguous to create a direct linkage to NTMs (e.g. due to TRAINS data not containing sufficient information on the objective of an NTM), or are evaluated to have only indirect impact on the examined SDGs. The complete matrix demonstrates the variety of avenues for potential impact of NTMs and provide ideas for possible directions of further inquiry.

The concordance matrix is used to calculate the share of NTMs that have direct links to SDGs, a potentially useful index to gauge the overall consistency between NTMs and implementation of the Sustainable Development Agenda. On average, 41.5 per cent of the measures in the global TRAINS NTM database are directly addressing the SDGs - 42.5 in per cent Asia and the Pacific. The share ranges from 11 per cent (in India) to 73 per cent (in Tajikistan). The SDG-related NTMs, both in Asia-Pacific and globally, most often directly address SDGs 2, 3, 12 and 16. Such prominence of SDG 2 and 3 is due to the fact that Sanitary and Phyto-Sanitary (SPS) measures, which account for the highest share of all NTMs, have a direct role to play in the achievement of these Goals. The complete concordance matrix and raw results of concordance between NTMs and SDGs globally are available separately for download.

A detailed online guide on how to analyze economies' NTMs using this concordance matrix using R has been developed and is available on this page. Users who are not familiar with R, or would just want to brush up on their skills, are encouraged to take ESCAP's Online Training on Using R for Trade Analysis.

All of us at Matrix Parent Network and Resource Center hope you enjoy this article that was researched and written by Hill Pashalides, one of our Parent Advisors. Historically, AAPI individuals with disabilities have faced a heavy stigma and structural barriers, such as translation, that have made it difficult to get services and support. The good news is that in our more recent history, organizations focused on the AAPI disabled community have been improving access to services, raising awareness and spotlighting individuals active in the community. To learn even more about the AAPI disability community visit our website.

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Avitech Pacific MS-1C One RU chassis providing 12x12 matrix for HDMI, DVI, VGA, and SDI signal sources. Multiple sets of sources can also be seamlessly routed to respective destinations all at once with a single command, fully addressing the needs for uninterrupted image or video transitions throughout staging and presentation applications.

Pacific MS-1C provides an in-system GUI for switching and routing configuration, as well as real-time monitoring of source/output for routing preview and confirmation. Additionally, user can remotely access any of the system directly on the GUI, ideal for wide range of applications in need of a centralized administration solution.

Features

One RU chassis providing 12x12 matrix for HDMI, DVI, VGA, and SDI signal sources, sharing IO cards with the other MS

models including SIB-KM card for keyboard/mouse switching, configured with web brower and tablet touch operation, but

without CB for in-system GUI and previews

Rack chassis with front button panel

Provide card slot for 3 input cards, 3 output cards

One external 12V DC power adapter

PPM Ltd. produces custom tailored diamond tool metal matrix powders to satisfy the individual requirements of various cutting and drilling tool manufacturers. Our custom matrix powders work to firmly support and hold diamonds without damaging them, thus permitting the optimum diamond exposure required for efficient tool performance.

Hot Press method is a relatively fast, single stage process used to manufacture various tool parts in which compacting and sintering is achieved in one-step. This process requires self-bonding powders. PPM produces various custom blends of self-bonding powders with particle size distributions and chemical compositions tailored to specific end-user requirements.

Infiltration method involves a series of steps whereby matrix powders are placed into a mold and compacted. Then, a bond-alloy is introduced through melting where capillary action draws the alloy through the matrix powder blend, filling in any voids between the particles. The addition of the molten metal (bond-alloy) works to enhance desired physical properties of the part. PPM custom produces high purity infiltration powder blends to suit your physical and chemical requirements.

We have extensive experience and are familiar with the requirements of domestic and international diamond tool matrix powder customers. Our technical personnel are specialists in design and manufacture of matrix powders to suit the various tool applications and fabrication methods. If you have any questions, please do not hesitate to contact our capable and experienced engineering staff.

Pacific Particulate Materials Ltd (PPM) shares the concerns that the exploitation and trade of conflict minerals mined in the DRC and adjoining countries have been associated with financing regional violence and gross violations of human rights. Therefore, we support the traceability of Conflict Minerals by increasing supply chain transparency to enable companies to source conflict-free minerals.

PPM will continue to evaluate our policies and collaborate with industry groups to increase awareness and assist in working towards avoiding any use of materials that directly or indirectly might finance conflict in the Covered Countries. We encourage all our suppliers and customers to exercise the same diligence.

The Job Exposure Matrix (JEM) is a cross-tabulation of workplace and job title hazards and is an essential exposure assessment tool for epidemiological studies, cancer risk monitoring, cancer risk prevention, and cancer risk quantification in health research and occupational safety. The matrices are designed based on two population-based and industry-based approaches. In the population-based matrix, all occupations of a population are recorded, and in the industry-specific matrix, the occupations in one or more industries are recorded. Exposure to carcinogens factors is measured based on the type of exposure, taking into account three factors including intensity, period and frequency of exposure. Using job exposure matrix in epidemiological studies is easier than other traditional exposure assessment methods and leads to more saving of resources, and sometimes it is the only possible way to analyze causal relationships in very large databases.

Job exposure matrix is a cross table of job titles and exposures that workers are exposed to in the workplace. Each cell of the matrix contains information about exposure to an agent in a job title. All matrices have at least two axes related to occupations and the axis of risk factors, and other dimensions such as time dimension, gender and type of factory have been added to some of them to increase the validity of the matrices [5, 7]. The matrices are designed based on two population-based and industry-based approaches. In the population-based matrix, all occupations of a population are recorded, and in the industry-specific matrix, the occupations in one or more industries are recorded.

Exposure to carcinogens factors is measured based on the type of exposure, taking into account three factors including intensity, period and frequency of exposure. This measurement can be qualitative (yes/no), semi-quantitative (none/ low/ moderate / severe) and quantitative, according to the unit of measurement of risk factors. The amount of exposure according to the heterogeneity of exposure among workers in the form of the average level of exposure (L) (average exposure in exposed workers) and the probability of exposure (P) (Workers exposed to harmful factors divided by the total number of workers at risk) is determined in each cell of the matrix. The index obtained from the matrix is known as the cumulative exposure index and is obtained from the sum of the product of the average level of exposure the probability of exposure the period of exposure.

In order to optimize the performance of a JEM, its cell inputs must reflect accurate estimates of exposure. These aspects are not independent of each other. While accurate estimates of exposure may exist for specific occupations, estimates become imprecise if multiple occupations with heterogeneous exposure levels are grouped together. Therefore, the structure of the matrix (i.e. the characteristics of the axes), and the accuracy of the exposure indicators to different carcinogens are interdependent. In the French electricity industry, for the development of JEM for electromagnetic fields, selected occupational categories were modified according to the results of exposure measurements obtained in a survey [8]. Disregarding the individual characteristics of workers, which usually cannot be considered in JEM, the main factors influencing the difference in the exposure rate are distributed in four axes defined by the type of carcinogen agent (exposure), job, time and place [9].

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