Potential Sources/Causes of Confl ict and/or Violence (including Crimes Against Humanity and/or Genocide)

2008 ◽  
pp. 283-386
Keyword(s):  
Crimes Against Humanity ◽  
Potential Sources

How is the line drawn?

2021 ◽  
pp. 110-148
Author(s):  
Rebecca Sutton
Keyword(s):  
International Law ◽  
Military Training ◽  
Crimes Against Humanity ◽  
Civilian Protection ◽  
Potential Sources ◽  
The Hague ◽  
International Tribunals ◽  
Sources Of Contamination ◽  
A Performance

This chapter presents distinction as a performance and conveys the dynamism of everyday distinction practices. Distinction takes on an explicit visual life in the Kinetic realm: humanitarian actors deploy signs and symbols, and they carry themselves in deliberate ways to show they are distinct. Everything in these practices is a matter of degree and subtle gradation. Other international actors emerge here as potential sources of contamination, including actors who would be entitled to civilian protection in IHL. Humanitarian actors embark on dogged attempts to assert distinction from these other actors, but distinction is always already compromised. While the possible futility of their distinction project leads some humanitarian actors to rally behind distinction even more strongly, other humanitarians balance distinction with other pressing priorities. In the civil–military training spaces, international military and peacekeeping actors voice incredulity at the logic of humanitarian distinction practices. From the perspective of these other actors, humanitarians are behaving erratically and prevaricating. The Intellectual realm focuses on the civilian concept, locating a continuum of ‘civilianness’ in international law. The discussion examines qualities that have historically been associated with civilianness—such as harmlessness, innocence, and non-participation in fighting—and highlights the shifting relevance of an armed/unarmed marker. Engaging with the adjudication of crimes against humanity cases in the Hague, it is shown that even in international tribunals civilianness might be a matter of degree. The chapter closes by introducing three unfamiliar figures: the ‘civilian plus’, ‘mere civilian’, and ‘civilian minus’.

Australasian Huperzia as potential sources of Huperzine A and B

Planta Medica ◽  
2009 ◽  
Vol 75 (09) ◽  
Author(s):  
WH Lim ◽  
JQG Goodger ◽  
AR Field ◽  
JAM Holtum ◽  
IE Woodrow
Keyword(s):  
Huperzine A ◽  
Potential Sources

PHENOLIC METABOLITES OF DL-NORGESTREL: A METHOD FOR THE REMOVAL OF 1-HYDROXYLATED METABOLITES, POTENTIAL SOURCES OF PHENOLIC ARTIFACTS

1974 ◽  
Vol 76 (4) ◽  
pp. 789-800 ◽  
Author(s):  
Samuel F. Sisenwine ◽  
Ann L. Liu ◽  
Hazel B. Kimmel ◽  
Hans W. Ruelius
Keyword(s):  
Urinary Metabolites ◽  
Ion Exchange Resin ◽  
Gas Chromatography Mass Spectrometry ◽  
Phenolic Metabolites ◽  
Hydroxylated Metabolites ◽  
Analytical Work ◽  
Potential Sources ◽  
Alkaline Conditions ◽  
Artifact Formation ◽  
Work Up

ABSTRACT The identification of 1β-hydroxynorgestrel among the urinary metabolites of dl-norgestrel and the facile transformation of this compound under mild alkaline conditions to a potentially oestrogenic phenol provide an experimental basis for the conclusion advanced by others that the oestrogens present in the urine of subjects treated with synthetic progestens are artifacts formed during analytical work-up. A method has been devised which eliminates 1-hydroxylated metabolites as potential sources of phenolic artifacts. This method is based on the reduction by NaBH4 of the 1-hydroxy-4-en-3-one grouping in the A ring thereby excluding the possibility of aromatization during later fractionation on a basic ion exchange resin that separates neutral from phenolic metabolites. In the urines of women treated with 14C-dl-nogestrel, only 0.17–0.27% of the dose is found to have phenolic properties when this method is used. Two of the phenolic metabolites, 18-homoethynyloestradiol and 16β-hydroxy-18-homoethynyloestradiol, are present in amounts smaller than 0.01 % of the dose. Without the reduction steps the percentages are noticeably higher, indicating artifact formation under alkaline conditions. Similar results were obtained with urines from African Green Monkeys (Cercopithecus Aethiops) that had been dosed with 14C-dl-norgestrel. Radiolabelled 18-homoethynyloestradiol and 16β-hydroxy-18-homoethynyloestradiol were isolated from monkey urine and their identity confirmed by gas chromatography-mass spectrometry.

The Improvement of Paclitaxel Cytotoxicity using Nanocellulose based Nature Resources

2019 ◽  
Vol 1 (1) ◽  
pp. 7
Author(s):  
R Nahrowi ◽  
A Setiawan ◽  
Noviany Noviany ◽  
I Sukmana ◽  
S D Yuwono
Keyword(s):  
Drug Delivery ◽  
Drug Release ◽  
Natural Resources ◽  
Cell Viability ◽  
Cancer Cells ◽  
Drug Delivery System ◽  
Target Cell ◽  
Mitotic Cycle ◽  
Potential Sources ◽  
Local Accumulation

Paclitaxel is one of the cancer drugs that often used. These drug kills cancer cells byinhibiting mitotic cycle. The efficiency of paclitaxel is increased by the use ofnanomaterials as a carrier of paclitaxel. Nanomaterials can enhance encapsulationefficiency, improve the drug release to the target cell following nanomaterialdegradation, and improve local accumulation of drug in the cell through endocytosisreceptor. Nanomaterial that often used forencapsulation of paclitaxel is a polymerderived from natural resources such as cellulose. The advantages of cellulose as acarrier of paclitaxel are nontoxic, biodegradable, and very abundant from varioussources. One of the potential sources of cellulose for drug delivery system is cassavabaggase.Keywords: Paclitaxel, encapsulation, cell viability, nanocellulose

Model Statistika Prediksi Energi Surya Dengan Menggunakan Autoregresif Integrated Moving Average (ARIMA)

Jurnal MIPA ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 181
Author(s):  
Imriani Moroki ◽  
Alfrets Septy Wauran
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Moving Average ◽  
Arima Model ◽  
Solar Irradiation ◽  
Energy Sources ◽  
Energy Potential ◽  
Good Design ◽  
Potential Sources ◽  
The Common

Energi terbarukan adalah salah satu masalah energi paling terkenal saat ini. Ada beberapa sumber potensial energi terbarukan. Salah satu energi terbarukan yang umum dan sederhana adalah energi matahari. Masalah besar ketersediaan energi saat ini adalah terbatasnya sumber energi konvensional seperti bahan bakar. Ini semua sumber energi memiliki banyak masalah karena memiliki jumlah energi yang terbatas. Penting untuk membuat model dan analisis berdasarkan ketersediaan sumber energi. Energi matahari adalah energi terbarukan yang paling disukai di negara-negara khatulistiwa saat ini. Tergantung pada produksi energi surya di daerah tertentu untuk memiliki desain dan analisis energi matahari yang baik. Untuk memiliki analisis yang baik tentang itu, dalam makalah ini kami membuat model prediksi energi surya berdasarkan data iradiasi matahari. Kami membuat model energi surya dan angin dengan menggunakan Metode Autoregresif Integrated Moving Average (ARIMA). Model ini diimplementasikan oleh R Studio yang kuat dari statistik. Sebagai hasil akhir, kami mendapatkan model statistik solar yang dibandingkan dengan data aktualRenewable energy is one of the most fomous issues of energy today. There are some renewable energy potential sources. One of the common n simple renewable energy is solar energy. The big problem of the availability of energy today is the limeted sources of conventional enery like fuel. This all energy sources have a lot of problem because it has a limited number of energy. It is important to make a model and analysis based on the availability of the energy sources. Solar energy is the most prefered renewable energy in equator countries today. It depends on the production of solar energy in certain area to have a good design and analysis of  the solar energy. To have a good analysis of it, in this paper we make a prediction model of solar energy based on the data of solar irradiation. We make the solar and wind enery model by using Autoregresif Integrated Moving Average (ARIMA) Method. This model is implemented by R Studio that is a powerfull of statistical. As the final result, we got the statistical model of solar comparing with the actual data

Crimes Against Humanity

2017 ◽  
Author(s):  
Marina Lostal ◽  
Emilie Hunter
Keyword(s):  
Crimes Against Humanity
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