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Sunday, May 31, 2020

US: Activists cheer on Los Angeles police chief during George Floyd prot...



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Protest near White House over George Floyd's death



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‘Citizen X’ and Hong Kong protesters’ battle for freedom | Nightline



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Hotspots: Hong Kong on the brink



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Sky correspondents Stuart Ramsay and Alex Crawford are on the frontline of clashes in Hong Kong. Violence escalates on both sides as protestors fight for their rights and police hit back.
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How Hong Kong Protesters Evade Surveillance With Tech | WSJ



Protesters in Hong Kong fear they are being monitored by the local government and potentially by China, a country at the cutting edge of mass surveillance. So demonstrators have developed hacks to avoid arrest and hide their digital tracks.



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Denmark: Clashes erupt as counter-demo meets PEGIDA protest in Copenhagen



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Copenhagen protests



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Hundreds join London protest against George Floyd death | ITV News



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See scenes from Sacramento's Black Lives Matter protest over George Floy...



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LIVE: Coverage of continuing protests in Minneapolis over the death of G...



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Violence erupts in Los Angeles amid protests over death of George Floyd ...



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ABC7
Violence erupted in the Fairfax District of Los Angeles on Saturday afternoon amid protests over the death of George Floyd. Go to ABC7.com for the latest updates: https://abc7.com/
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Flexner Report 2.0: How The Oligarchy Is Again Hijacking Our Medical Fut...



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Is Radiosensitivity Associated to Different Types of Blood Groups? (A cytogenetic study)

Shared from Michelle Freckles Richardson 
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So highest rate of issue with CV19 is blood group A. And highest radiation sensitivity is also blood group A.

Lowest rate of concern with CV is blood group O as well as O being the least risk of radiation sensitivity.

https://www.medicalnewstoday.com/…/is-blood-type-linked-to-…

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3920532/

Int J Mol Cell Med. 2013 Summer; 2(3): 131–135.

PMCID: PMC3920532
PMID: 24551803

Is Radiosensitivity Associated to Different Types of Blood Groups? (A cytogenetic study)

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This article has been cited by other articles in PMC.


Abstract

Many biological factors affect radiosensitivity. In this study, radiosensitivity among the different blood groups was investigated. Peripheral blood sample of 95 healthy people were divided into two parts. One part was irradiated with 2 Gy Co-60 gamma rays and the second one was considered as control. Then all the samples were studied by cytokinesis-blocked micronucleus assay (CBMN assay). Our study showed that the radiosensitivity index of A+ and O+ groups was significantly higher and lower than other blood groups, respectively. It seems that blood type can be used as a radiosensitivity index for determining the given dose to radiotherapy, although extensive studies are necessary.
Key Words: Radiosensitivity, blood group, CBMN assay

Radiosensitivity is the relative susceptibleness of cells, tissues, organs or organisms to the dangerous effect of ionizing radiation (1). Inherent characteristic is one of the important reasons of differences in radiation sensitivity (1-2). The physical specifications of ionizing radiation such as its type (particle or photon), energy and dose rate could alter the biological response of organ or tissue to ionizing radiation (2-4). Previous studies have confirmed the relationship between genetics and radiosensitivity (5-6). A recent study has shown that mutations in the ataxia telangiectasia gene (ATM) result in an abnormal p53-mediated cellular response to DNA damage produced by ionizing radiation. Also, the potential role of several identified genes such as BRCA and NBS1, which are involved in the cellular response to radiation induced DNA damage is reported too (6). A clinical study has suggested that a large spectrum of normal tissue reactions may occur among the radiotherapy patients. Because of the difference in the individual radiosensitivity and radiotherapy, the patients who receive identical dose have different normal tissue reactions varying from undetectable to severe (7). People with higher radiosensitivity, most likely will suffer from deterministic and stochastic effects in radiotherapy (7). The results of the studies have revealed that over expression of KU80 gene is an important factor for predicting radiosensitivity in the head and neck cancers (5). It has shown an association between the in vitro radiosensitivity of breast cancer patients and the clinical incidence of late (e.g. fibrosis, telangiectasia) normal tissue reaction to radiotherapy (6). In addition to biological conditions, environmental conditions such as existence of radiosensitizers and radioprotectors undoubtedly affect the biological damage of ionizing radiation. One well-studied example is the presence of oxygen during exposure to ionizing radiation that stabilizes reactions to ionizing radiation and then increases the biological damage of radiation (4). The blood group is an inherent characteristic and its classification is based on the presence or absence of ABO blood group antigens on the surface of red blood cells. The occurrence of some diseases is related to blood type (8) and studies have reported that ABO blood group is an important genetic risk factor for several radiation related illnesses such as pancreatic cancer (9), hepatocellular carcinoma (10), endometrial and cervical cancer (11). In this study, the association between the radiosensitivity and ABO blood group was investigated by cytokinesis-blocked micronucleus assay (CBMN) in a case-control cytogenetic study.
Materials and Methods

Subjects and sampling

Ten milliliter blood samples of 95 (25 A+, 25 B+, 25 O+ and 20 AB+) non-radiation worker, non-smoker or alcohol-user healthy donors age between 18-25 years were taken under sterile conditions in the presence of sodium heparin anticoagulant. The samples were divided into two identical values (5ml) which were maintained in similar conditions. The subjects’ blood groups, any cancer history in their families and recent radiation exposures were filled in the questionnaire through an interview.

Irradiation

One part of each sample was considered as the control and the second equivalent part was exposed to 2 Gy of gamma rays from a tele-cobalt therapy source (Theratone780, Canada). The dose rate was 120 cGy/min and the source to samples distance (SSD) was 80 cm. The exposed and non-exposed blood samples were transferred to cell culture laboratory for the CBMN assay.

CBMN (cytokinesis blocked micronuclei assay)

CBMN assay was performed on both exposed and control samples as reported by international atomic energy agency (IAEA). In this cytogenetic technique, 0.5 ml of the whole blood was added to 4.5 ml culture medium (RPMI 1640) supplemented with fetal calf serum, 1% L-glutamine and antibiotics. Then 100 µl phytohaemagglutinin (SIGMA) diluted in PBS was added as mitogen. The sample was incubated at 37º for 44 h then 100 µl cytochalasin B (6 µg/ml diluted in DMSO) was added for cessation of the cytokinesis in the binucleus state. The binucleated lymphocytes were harvested 28 h later. The samples were centrifuged at 2000 rpm for 10 min (BOECHO U-320 R) and the supernatant was discarded. The pellet remained at the bottom of tubes was treated with 2-3 ml of fresh hypotonic solution (0.075 M KCl) and then centrifuged at 1200 rpm for 7 min. After discarding the supernatant, 5 ml of the fixing solution (methanol:glacial acetic acid 6/1) was added quickly. After 20 min, the tubes were centrifuged (1200 rpm for 7 min) and the fixation was repeated three times at 1200 rpm for 7 min. Subsequently, the cells were dropped on clean slides and stained with Giemsa solution (Giemsa stock: PBS, 1/10) for 10 minutes. The slides were washed with distilled water and were dried by air. All the slides were studied under a light microscope in 40× magnification using SAIRAN microscope. The slides were coded before analyzing for blinding purpose. The Micronuclei were scored in 1000 binucleated (BN) cells and scoring was blinded according to the scoring scale suggested by Fenech (12-13). The proportion of MN in exposed to non-exposed samples in each blood group was considered as its radiosensitivity index (1, 3). If one person's cells are more radiosensitive, after taking 2 Gy radiation dose, more DNA breaks (or MNs) occurs and its proportion to non exposed cells will be higher than a person with lower radiosensitivity.

Statistical analysis

The statistical analysis was performed using SPSS 16 by Pair sample t-test between the control and exposed groups and analysis of variance (ANOVA) test between the different blood groups. The p-value < 0.05 was considered statistically significant.
Results

The mean micronuclei frequencies of the different blood groups were shown in figure 1. As the graphs show, the micronuclei frequency in the exposed samples for all of the blood groups is significantly higher than the control (P <0.001). Also, there is a significant difference in the micronuclei frequencies of O+ and other blood types in control group (p< 0.001). The difference of micronuclei frequencies between A+ and O+ in exposed groups is significant too (P= 0.015).


Mean frequency of micronuclei in control and exposed groups of different blood groups

The increase in the number of micronuclei after exposure to 2 Gy irradiation for all of the four blood groups are shown in table 1. As quoted in this table, the highest and lowest increase was seen in A and O blood groups, respectively. Also this parameter was significantly different between A and O blood groups.

Table 1

Micronuclei number increase in blood samples exposed to 2 Gy irradiation

MeanSDMaxMinNBlood group197.72 60.79 314 94 25 A
166.52 58.37 283 72 25 B
133.48 36.45 214 76 25 O
166.95 32.64 231 102 20 AB

Discussion

CBMN assay is the standard technique for measuring the human population micronuclei and the estimation of absorbed dose for the prediction of deterministic and stochastic effects in nuclear accident (7). It is a cytogenetic method for the evaluation of cytotoxic effects of chemical materials and ionizing radiation in mammalian system too. In vitro cytokinesis blocked micronuc-leus assay can be used for the prediction of radiosensitivity of the tumor cells and as an index for the inter-individual differences in radio-sensitivity (13).

Our data clearly indicate that the mean frequency of MN in exposed groups is remarkably higher than the control groups. These findings are in agreement with the previous cytogenetic inves-tigations which have been done by Maffie et al. (14), Thierens (15) and Khosravifarsani et al. (1).

The recent study performed by Khosravi-farsani et al. in 2012 showed that radiosensitivity in left-handed is greater than right-handed breast cancer women. They also explained that radiosensitivity in left-handers is higher compared to right-handers (1). Our data suggest that A+ is the most radiosensitive and O+ have the lowest radiosensitivity among the studied blood groups. The results obtained from Garriga and Ghossein revealed that O blood group has greater radiation response than either blood type in carcinoma of cervix patients (16).


Radiosensitivity index (RI) of different blood groups

A previous study performed by Dabelsteen et al. reported that alteration of the cell-surface is a factor in the development of malignancies (17). Earlier observations have declared that there is an association between various cancers and ABO blood groups (18-20). Stamatakos et al. showed that the frequency of ductal breast cancer is higher in A blood group (18). Tursen et al. have investigated the relationship between blood groups and skin cancer (19). They reported that although patients with A and O blood groups have the most and the lowest occurrence of skin cancer but this difference is not statistically significant. Wolpin et al. concluded that the frequency of pancreatic cancer in patients with O blood group was obviously lower than other blood groups (20). Doll et al. showed that the number of gastric ulcer and neoplasm in patients with A blood group were significantly higher than the other blood groups (21). You et al. indicated that the frequency of dysplasia and metaplasia and gastric atrophy in A blood group was higher than the blood groups (22). To date, no report has evaluated the association of blood groups and radiosensitivity.

The present study addresses more investiga-tions on the association of ABO blood groups and radiosensitivity. From a genetic point of view, the repair of double strand breaks generated by radiation involves two main mechanisms, non-homologous end-joining (NHEJ) and homologous recombination (HR). Our data suggest that there may be an association between some alleles of ABO blood groups and specific alleles of genes involved in DNA double strand breaks repair. Further molecular studies are needed to investigate candidate loci involved in the DNA repair systems on chromosome 9 near ABO locus at 9q34. If future research could prove our findings, blood groups could be used as a radiosensitivity index for determining the given dose to radiotherapy patients and protecting workers against exposure to ionizing radiation.
Acknowledgment

The authors are thankful to Dr Ebrahim Zabihi for his valuable technical assistance, Mr. Fazelnezhad for providing the blood samples and the staff of the Radiotherapy Department of Shahid Rajaii Hospital for their cooperating in irradiation of blood samples.
Conflict of Interest

There is no conflict of interest.
References
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Articles from International Journal of Molecular and Cellular Medicine are provided here courtesy of Babol University of Medical Sciences
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Friday, May 29, 2020

Quantum mechanics explains efficiency of photosynthesis


Quantum mechanics explains efficiency of photosynthesis

(DL Because we're not really here)


Light-gathering macromolecules in plant cells transfer energy by taking advantage of molecular vibrations whose physical descriptions have no equivalents in classical physics, according to the first unambiguous theoretical evidence of quantum effects in photosynthesis published today in the journal Nature Communications.


The majority of light-gathering macromolecules are composed of chromophores (responsible for the colour of molecules) attached to proteins, which carry out the first step of photosynthesis, capturing sunlight and transferring the associated energy highly efficiently. Previous experiments suggest that energy is transferred in a wave-like manner, exploiting quantum phenomena, but crucially, a non-classical explanation could not be conclusively proved as the phenomena identified could equally be described using classical physics.

Often, to observe or exploit quantum mechanical phenomena systems need to be cooled to very low temperatures. This however does not seem to be the case in some biological systems, which display quantum properties even at ambient temperatures.

Now, a team at UCL have attempted to identify features in these biological systems which can only be predicted by quantum physics, and for which no classical analogues exist.

We found that the properties of some of the chromophore vibrations that assist energy transfer during photosynthesis can never be described with classical laws, and moreover, this non-classical behaviour enhances the efficiency of the energy transfer.

Dr Alexandra Olaya-Castro (UCL Physics & Astronomy)

"Energy transfer in light-harvesting macromolecules is assisted by specific vibrational motions of the chromophores," said Dr Alexandra Olaya-Castro (UCL Physics & Astronomy), supervisor and co-author of the research. "We found that the properties of some of the chromophore vibrations that assist energy transfer during photosynthesis can never be described with classical laws, and moreover, this non-classical behaviour enhances the efficiency of the energy transfer."

Molecular vibrations are periodic motions of the atoms in a molecule, like the motion of a mass attached to a spring. When the energy of a collective vibration of two chromphores matches the energy difference between the electronic transitions of these chromophores a resonance occurs and efficient energy exchange between electronic and vibrational degrees of freedom takes place.

Providing that the energy associated to the vibration is higher than the temperature scale, only a discrete unit or quantum of energy is exchanged. Consequently, as energy is transferred from one chromophore to the other, the collective vibration displays properties that have no classical counterpart.

The UCL team found the unambiguous signature of non-classicality is given by a negative joint probability of finding the chromophores with certain relative positions and momenta. In classical physics, probability distributions are always positive.

"The negative values in these probability distributions are a manifestation of a truly quantum feature, that is, the coherent exchange of a single quantum of energy," explained Edward O'Reilly (UCL Physics & Astronomy), first author of the study. "When this happens electronic and vibrational degrees of freedom are jointly and transiently in a superposition of quantum states, a feature that can never be predicted with classical physics."

Other biomolecular processes such as the transfer of electrons within macromolecules (like in reaction centres in photosynthetic systems), the structural change of a chromophore upon absorption of photons (like in vision processes) or the recognition of a molecule by another (as in olfaction processes), are influenced by specific vibrational motions. The results of this research therefore suggest that a closer examination of the vibrational dynamics involved in these processes could provide other biological prototypes exploiting truly non-classical phenomena.
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Thursday, May 28, 2020

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262(0.42%)
30.53%
5.09
00:01:13
0(0.00%)
£0.00(0.00%)
0.00%
11.
South Africa
227(0.41%)
227(0.41%)
273(0.44%)
39.19%
3.13
00:00:42
0(0.00%)
£0.00(0.00%)
0.00%
12.
Italy
213(0.38%)
212(0.38%)
255(0.41%)
38.43%
4.34
00:01:40
0(0.00%)
£0.00(0.00%)
0.00%
13.
Brazil
208(0.38%)
210(0.38%)
242(0.39%)
30.17%
4.46
00:02:12
0(0.00%)
£0.00(0.00%)
0.00%
14.
Mexico
174(0.31%)
175(0.32%)
188(0.30%)
28.72%
4.80
00:01:22
0(0.00%)
£0.00(0.00%)
0.00%
15.
Spain
173(0.31%)
173(0.31%)
212(0.34%)
24.06%
5.06
00:01:16
0(0.00%)
£0.00(0.00%)
0.00%
16.
Hong Kong
168(0.30%)
168(0.30%)
180(0.29%)
69.44%
2.16
00:00:04
0(0.00%)
£0.00(0.00%)
0.00%
17.
New Zealand
157(0.28%)
160(0.29%)
201(0.33%)
22.89%
5.29
00:01:58
0(0.00%)
£0.00(0.00%)
0.00%
18.
Indonesia
144(0.26%)
145(0.26%)
163(0.26%)
44.17%
3.62
00:00:30
0(0.00%)
£0.00(0.00%)
0.00%
19.
(not set)
140(0.25%)
136(0.25%)
161(0.26%)
29.19%
3.47
00:00:38
0(0.00%)
£0.00(0.00%)
0.00%
20.
Poland
139(0.25%)
139(0.25%)
144(0.23%)
18.75%
5.02
00:01:10
0(0.00%)
£0.00(0.00%)
0.00%
21.
Malaysia
132(0.24%)
132(0.24%)
140(0.23%)
42.14%
3.73
00:00:39
0(0.00%)
£0.00(0.00%)
0.00%
22.
Russia
124(0.22%)
124(0.22%)
147(0.24%)
41.50%
5.81
00:01:50
0(0.00%)
£0.00(0.00%)
0.00%
23.
Ireland
117(0.21%)
117(0.21%)
125(0.20%)
27.20%
3.32
00:00:40
0(0.00%)
£0.00(0.00%)
0.00%
24.
Sweden
115(0.21%)
115(0.21%)
130(0.21%)
16.92%
5.43
00:01:14
0(0.00%)
£0.00(0.00%)
0.00%
25.
Ukraine
108(0.19%)
107(0.19%)
125(0.20%)
25.60%
4.62
00:01:26
0(0.00%)
£0.00(0.00%)
0.00%
26.
Romania
98(0.18%)
97(0.18%)
105(0.17%)
19.05%
5.96
00:01:31
0(0.00%)
£0.00(0.00%)
0.00%
27.
Japan
96(0.17%)
97(0.18%)
103(0.17%)
27.18%
4.38
00:01:16
0(0.00%)
£0.00(0.00%)
0.00%
28.
Pakistan
93(0.17%)
93(0.17%)
112(0.18%)
40.18%
3.04
00:01:09
0(0.00%)
£0.00(0.00%)
0.00%
29.
Singapore
90(0.16%)
90(0.16%)
102(0.17%)
47.06%
2.94
00:00:32
0(0.00%)
£0.00(0.00%)
0.00%
30.
Greece
89(0.16%)
89(0.16%)
106(0.17%)
21.70%
5.03
00:00:56
0(0.00%)
£0.00(0.00%)
0.00%
31.
Turkey
89(0.16%)
89(0.16%)
111(0.18%)
28.83%
7.49
00:01:44
0(0.00%)
£0.00(0.00%)
0.00%
32.
Belgium
86(0.16%)
87(0.16%)
100(0.16%)
30.00%
4.57
00:00:30
0(0.00%)
£0.00(0.00%)
0.00%
33.
Kenya
83(0.15%)
83(0.15%)
89(0.14%)
59.55%
2.54
00:00:55
0(0.00%)
£0.00(0.00%)
0.00%
34.
Switzerland
82(0.15%)
81(0.15%)
105(0.17%)
21.90%
6.46
00:01:36
0(0.00%)
£0.00(0.00%)
0.00%
35.
Austria
75(0.14%)
75(0.14%)
93(0.15%)
15.05%
5.33
00:00:48
0(0.00%)
£0.00(0.00%)
0.00%
36.
Argentina
73(0.13%)
73(0.13%)
86(0.14%)
31.40%
4.37
00:01:41
0(0.00%)
£0.00(0.00%)
0.00%
37.
Nigeria
66(0.12%)
66(0.12%)
80(0.13%)
30.00%
7.14
00:01:17
0(0.00%)
£0.00(0.00%)
0.00%
38.
Portugal
64(0.12%)
64(0.12%)
88(0.14%)
19.32%
5.32
00:01:37
0(0.00%)
£0.00(0.00%)
0.00%
39.
Norway
61(0.11%)
60(0.11%)
118(0.19%)
58.47%
3.14
00:01:19
0(0.00%)
£0.00(0.00%)
0.00%
40.
South Korea
60(0.11%)
60(0.11%)
68(0.11%)
14.71%
4.93
00:01:07
0(0.00%)
£0.00(0.00%)
0.00%
41.
Egypt
58(0.10%)
58(0.11%)
60(0.10%)
35.00%
4.07
00:00:16
0(0.00%)
£0.00(0.00%)
0.00%
42.
United Arab Emirates
57(0.10%)
57(0.10%)
61(0.10%)
18.03%
4.52
00:01:29
0(0.00%)
£0.00(0.00%)
0.00%
43.
Bulgaria
55(0.10%)
55(0.10%)
65(0.11%)
12.31%
6.86
00:02:30
0(0.00%)
£0.00(0.00%)
0.00%
44.
Bangladesh
53(0.10%)
53(0.10%)
82(0.13%)
23.17%
5.55
00:02:19
0(0.00%)
£0.00(0.00%)
0.00%
45.
Denmark
52(0.09%)
52(0.09%)
54(0.09%)
20.37%
5.39
00:00:19
0(0.00%)
£0.00(0.00%)
0.00%
46.
Thailand
52(0.09%)
52(0.09%)
56(0.09%)
28.57%
4.43
00:01:12
0(0.00%)
£0.00(0.00%)
0.00%
47.
Finland
49(0.09%)
49(0.09%)
99(0.16%)
15.15%
5.38
00:00:47
0(0.00%)
£0.00(0.00%)
0.00%
48.
Saudi Arabia
45(0.08%)
45(0.08%)
51(0.08%)
21.57%
5.24
00:00:35
0(0.00%)
£0.00(0.00%)
0.00%
49.
Vietnam
45(0.08%)
45(0.08%)
49(0.08%)
24.49%
3.84
00:00:16
0(0.00%)
£0.00(0.00%)
0.00%
50.
Israel
44(0.08%)
44(0.08%)
49(0.08%)
30.61%
3.90
00:00:47
0(0.00%)
£0.00(0.00%)
0.00%
51.
Czechia
43(0.08%)
43(0.08%)
47(0.08%)
31.91%
3.83
00:00:15
0(0.00%)
£0.00(0.00%)
0.00%
52.
Myanmar (Burma)
41(0.07%)
41(0.07%)
41(0.07%)
58.54%
2.17
00:00:18
0(0.00%)
£0.00(0.00%)
0.00%
53.
Hungary
40(0.07%)
40(0.07%)
50(0.08%)
20.00%
10.48
00:04:36
0(0.00%)
£0.00(0.00%)
0.00%
54.
Ghana
38(0.07%)
38(0.07%)
41(0.07%)
36.59%
2.22
00:00:27
0(0.00%)
£0.00(0.00%)
0.00%
55.
Croatia
36(0.06%)
36(0.07%)
41(0.07%)
19.51%
5.24
00:00:53
0(0.00%)
£0.00(0.00%)
0.00%
56.
Serbia
35(0.06%)
35(0.06%)
40(0.06%)
25.00%
4.75
00:00:08
0(0.00%)
£0.00(0.00%)
0.00%
57.
Taiwan
34(0.06%)
34(0.06%)
35(0.06%)
17.14%
6.46
00:00:39
0(0.00%)
£0.00(0.00%)
0.00%
58.
Colombia
31(0.06%)
31(0.06%)
32(0.05%)
50.00%
3.75
00:01:00
0(0.00%)
£0.00(0.00%)
0.00%
59.
Slovakia
30(0.05%)
30(0.05%)
31(0.05%)
35.48%
9.10
00:01:01
0(0.00%)
£0.00(0.00%)
0.00%
60.
Chile
28(0.05%)
28(0.05%)
36(0.06%)
50.00%
3.67
00:00:18
0(0.00%)
£0.00(0.00%)
0.00%
61.
Algeria
25(0.05%)
25(0.05%)
90(0.15%)
12.22%
12.53
00:05:07
0(0.00%)
£0.00(0.00%)
0.00%
62.
Slovenia
23(0.04%)
23(0.04%)
23(0.04%)
17.39%
6.39
00:00:19
0(0.00%)
£0.00(0.00%)
0.00%
63.
Morocco
22(0.04%)
22(0.04%)
32(0.05%)
15.62%
6.72
00:03:07
0(0.00%)
£0.00(0.00%)
0.00%
64.
China
21(0.04%)
21(0.04%)
24(0.04%)
20.83%
8.71
00:02:29
0(0.00%)
£0.00(0.00%)
0.00%
65.
Iraq
21(0.04%)
21(0.04%)
23(0.04%)
52.17%
3.39
00:01:44
0(0.00%)
£0.00(0.00%)
0.00%
66.
Puerto Rico
21(0.04%)
21(0.04%)
22(0.04%)
50.00%
3.41
00:00:41
0(0.00%)
£0.00(0.00%)
0.00%
67.
Kuwait
20(0.04%)
20(0.04%)
20(0.03%)
45.00%
4.35
00:00:15
0(0.00%)
£0.00(0.00%)
0.00%
68.
Sri Lanka
18(0.03%)
18(0.03%)
18(0.03%)
38.89%
2.56
00:00:23
0(0.00%)
£0.00(0.00%)
0.00%
69.
Estonia
16(0.03%)
16(0.03%)
17(0.03%)
5.88%
10.65
00:02:29
0(0.00%)
£0.00(0.00%)
0.00%
70.
Uganda
16(0.03%)
16(0.03%)
17(0.03%)
11.76%
6.35
00:01:12
0(0.00%)
£0.00(0.00%)
0.00%
71.
Ethiopia
15(0.03%)
15(0.03%)
15(0.02%)
53.33%
3.07
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
72.
Malta
15(0.03%)
16(0.03%)
17(0.03%)
23.53%
6.59
00:01:25
0(0.00%)
£0.00(0.00%)
0.00%
73.
Tunisia
15(0.03%)
15(0.03%)
17(0.03%)
52.94%
2.59
00:00:17
0(0.00%)
£0.00(0.00%)
0.00%
74.
Cyprus
14(0.03%)
14(0.03%)
15(0.02%)
26.67%
3.47
00:00:03
0(0.00%)
£0.00(0.00%)
0.00%
75.
Lebanon
14(0.03%)
14(0.03%)
15(0.02%)
40.00%
4.87
00:01:05
0(0.00%)
£0.00(0.00%)
0.00%
76.
Trinidad & Tobago
14(0.03%)
14(0.03%)
14(0.02%)
57.14%
2.50
00:00:20
0(0.00%)
£0.00(0.00%)
0.00%
77.
Zimbabwe
13(0.02%)
13(0.02%)
13(0.02%)
30.77%
4.38
00:01:38
0(0.00%)
£0.00(0.00%)
0.00%
78.
Cambodia
12(0.02%)
12(0.02%)
16(0.03%)
18.75%
4.31
00:02:45
0(0.00%)
£0.00(0.00%)
0.00%
79.
Ecuador
11(0.02%)
11(0.02%)
11(0.02%)
36.36%
3.09
00:00:02
0(0.00%)
£0.00(0.00%)
0.00%
80.
Nepal
11(0.02%)
11(0.02%)
11(0.02%)
72.73%
1.55
<00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
81.
North Macedonia
10(0.02%)
10(0.02%)
10(0.02%)
30.00%
3.00
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
82.
Costa Rica
9(0.02%)
9(0.02%)
10(0.02%)
30.00%
4.00
00:00:22
0(0.00%)
£0.00(0.00%)
0.00%
83.
Jamaica
9(0.02%)
9(0.02%)
10(0.02%)
50.00%
2.50
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
84.
Jordan
9(0.02%)
9(0.02%)
9(0.01%)
44.44%
2.22
00:00:07
0(0.00%)
£0.00(0.00%)
0.00%
85.
Lithuania
9(0.02%)
9(0.02%)
9(0.01%)
33.33%
4.00
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
86.
Panama
9(0.02%)
9(0.02%)
10(0.02%)
30.00%
3.90
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
87.
Dominican Republic
8(0.01%)
8(0.01%)
10(0.02%)
30.00%
3.10
00:04:16
0(0.00%)
£0.00(0.00%)
0.00%
88.
Rwanda
8(0.01%)
8(0.01%)
9(0.01%)
11.11%
6.78
00:05:02
0(0.00%)
£0.00(0.00%)
0.00%
89.
Venezuela
8(0.01%)
8(0.01%)
8(0.01%)
12.50%
6.50
00:02:20
0(0.00%)
£0.00(0.00%)
0.00%
90.
Albania
7(0.01%)
7(0.01%)
23(0.04%)
34.78%
4.09
00:05:05
0(0.00%)
£0.00(0.00%)
0.00%
91.
Botswana
7(0.01%)
7(0.01%)
7(0.01%)
28.57%
3.86
00:03:04
0(0.00%)
£0.00(0.00%)
0.00%
92.
Belarus
7(0.01%)
7(0.01%)
7(0.01%)
14.29%
5.29
00:00:07
0(0.00%)
£0.00(0.00%)
0.00%
93.
Iceland
7(0.01%)
7(0.01%)
9(0.01%)
0.00%
10.44
00:01:47
0(0.00%)
£0.00(0.00%)
0.00%
94.
Jersey
7(0.01%)
7(0.01%)
10(0.02%)
10.00%
7.50
00:05:49
0(0.00%)
£0.00(0.00%)
0.00%
95.
Namibia
7(0.01%)
7(0.01%)
7(0.01%)
28.57%
3.00
00:01:16
0(0.00%)
£0.00(0.00%)
0.00%
96.
Tanzania
7(0.01%)
7(0.01%)
8(0.01%)
0.00%
5.50
00:00:32
0(0.00%)
£0.00(0.00%)
0.00%
97.
Bolivia
6(0.01%)
6(0.01%)
6(0.01%)
33.33%
3.67
00:04:05
0(0.00%)
£0.00(0.00%)
0.00%
98.
Belize
6(0.01%)
6(0.01%)
6(0.01%)
33.33%
2.17
00:00:03
0(0.00%)
£0.00(0.00%)
0.00%
99.
Georgia
6(0.01%)
6(0.01%)
6(0.01%)
50.00%
2.17
00:00:05
0(0.00%)
£0.00(0.00%)
0.00%
100.
Mauritius
6(0.01%)
6(0.01%)
6(0.01%)
50.00%
5.00
00:01:21
0(0.00%)
£0.00(0.00%)
0.00%
101.
Qatar
6(0.01%)
6(0.01%)
7(0.01%)
28.57%
2.57
00:00:04
0(0.00%)
£0.00(0.00%)
0.00%
102.
Uruguay
6(0.01%)
6(0.01%)
6(0.01%)
16.67%
5.00
00:00:15
0(0.00%)
£0.00(0.00%)
0.00%
103.
Armenia
5(0.01%)
5(0.01%)
5(0.01%)
20.00%
6.00
00:00:04
0(0.00%)
£0.00(0.00%)
0.00%
104.
Bahamas
5(0.01%)
5(0.01%)
5(0.01%)
20.00%
3.20
00:00:03
0(0.00%)
£0.00(0.00%)
0.00%
105.
Guatemala
5(0.01%)
5(0.01%)
5(0.01%)
20.00%
5.20
00:00:31
0(0.00%)
£0.00(0.00%)
0.00%
106.
Guam
5(0.01%)
5(0.01%)
5(0.01%)
60.00%
1.40
00:00:15
0(0.00%)
£0.00(0.00%)
0.00%
107.
Kazakhstan
5(0.01%)
5(0.01%)
6(0.01%)
16.67%
6.33
00:00:25
0(0.00%)
£0.00(0.00%)
0.00%
108.
Luxembourg
5(0.01%)
5(0.01%)
6(0.01%)
0.00%
3.33
00:01:03
0(0.00%)
£0.00(0.00%)
0.00%
109.
Mongolia
5(0.01%)
5(0.01%)
5(0.01%)
80.00%
1.40
00:00:09
0(0.00%)
£0.00(0.00%)
0.00%
110.
Oman
5(0.01%)
5(0.01%)
6(0.01%)
50.00%
4.83
00:00:29
0(0.00%)
£0.00(0.00%)
0.00%
111.
El Salvador
5(0.01%)
5(0.01%)
7(0.01%)
14.29%
7.71
00:02:02
0(0.00%)
£0.00(0.00%)
0.00%
112.
Zambia
5(0.01%)
5(0.01%)
5(0.01%)
60.00%
3.00
00:00:16
0(0.00%)
£0.00(0.00%)
0.00%
113.
Bosnia & Herzegovina
4(0.01%)
4(0.01%)
4(0.01%)
75.00%
2.25
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
114.
Bahrain
4(0.01%)
4(0.01%)
4(0.01%)
25.00%
2.75
00:00:03
0(0.00%)
£0.00(0.00%)
0.00%
115.
Guernsey
4(0.01%)
4(0.01%)
4(0.01%)
0.00%
4.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
116.
Iran
4(0.01%)
4(0.01%)
5(0.01%)
0.00%
4.80
00:00:52
0(0.00%)
£0.00(0.00%)
0.00%
117.
St. Lucia
4(0.01%)
4(0.01%)
4(0.01%)
25.00%
3.00
00:03:15
0(0.00%)
£0.00(0.00%)
0.00%
118.
Latvia
4(0.01%)
4(0.01%)
4(0.01%)
0.00%
4.25
00:00:02
0(0.00%)
£0.00(0.00%)
0.00%
119.
Moldova
4(0.01%)
4(0.01%)
4(0.01%)
0.00%
8.25
00:02:48
0(0.00%)
£0.00(0.00%)
0.00%
120.
Maldives
4(0.01%)
4(0.01%)
4(0.01%)
75.00%
2.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
121.
Yemen
4(0.01%)
4(0.01%)
4(0.01%)
25.00%
4.00
00:00:06
0(0.00%)
£0.00(0.00%)
0.00%
122.
Azerbaijan
3(0.01%)
3(0.01%)
3(0.00%)
0.00%
3.00
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
123.
Barbados
3(0.01%)
3(0.01%)
4(0.01%)
50.00%
3.00
<00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
124.
Bermuda
3(0.01%)
3(0.01%)
3(0.00%)
33.33%
3.67
<00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
125.
Congo - Kinshasa
3(0.01%)
3(0.01%)
3(0.00%)
66.67%
2.67
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
126.
Cameroon
3(0.01%)
3(0.01%)
3(0.00%)
33.33%
2.00
00:00:11
0(0.00%)
£0.00(0.00%)
0.00%
127.
Fiji
3(0.01%)
3(0.01%)
3(0.00%)
33.33%
5.00
00:00:13
0(0.00%)
£0.00(0.00%)
0.00%
128.
Guyana
3(0.01%)
3(0.01%)
3(0.00%)
33.33%
2.33
00:00:12
0(0.00%)
£0.00(0.00%)
0.00%
129.
Honduras
3(0.01%)
3(0.01%)
3(0.00%)
33.33%
3.33
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
130.
Cayman Islands
3(0.01%)
3(0.01%)
4(0.01%)
0.00%
13.50
00:05:54
0(0.00%)
£0.00(0.00%)
0.00%
131.
Laos
3(0.01%)
3(0.01%)
3(0.00%)
66.67%
1.33
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
132.
Lesotho
3(0.01%)
3(0.01%)
4(0.01%)
50.00%
2.00
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
133.
Montenegro
3(0.01%)
3(0.01%)
3(0.00%)
33.33%
2.67
<00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
134.
French Polynesia
3(0.01%)
3(0.01%)
4(0.01%)
25.00%
2.25
00:02:04
0(0.00%)
£0.00(0.00%)
0.00%
135.
Seychelles
3(0.01%)
3(0.01%)
3(0.00%)
0.00%
5.33
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
136.
Somalia
3(0.01%)
3(0.01%)
4(0.01%)
50.00%
1.50
00:04:05
0(0.00%)
£0.00(0.00%)
0.00%
137.
Suriname
3(0.01%)
3(0.01%)
3(0.00%)
33.33%
4.33
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
138.
Syria
3(0.01%)
3(0.01%)
4(0.01%)
0.00%
8.75
00:00:48
0(0.00%)
£0.00(0.00%)
0.00%
139.
Uzbekistan
3(0.01%)
3(0.01%)
3(0.00%)
33.33%
1.67
00:03:55
0(0.00%)
£0.00(0.00%)
0.00%
140.
U.S. Virgin Islands
3(0.01%)
3(0.01%)
3(0.00%)
0.00%
8.33
00:08:44
0(0.00%)
£0.00(0.00%)
0.00%
141.
Afghanistan
2(0.00%)
2(0.00%)
2(0.00%)
0.00%
4.00
00:00:10
0(0.00%)
£0.00(0.00%)
0.00%
142.
Burkina Faso
2(0.00%)
2(0.00%)
2(0.00%)
0.00%
6.00
00:01:21
0(0.00%)
£0.00(0.00%)
0.00%
143.
Burundi
2(0.00%)
2(0.00%)
2(0.00%)
100.00%
1.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
144.
Brunei
2(0.00%)
2(0.00%)
3(0.00%)
66.67%
7.33
00:11:04
0(0.00%)
£0.00(0.00%)
0.00%
145.
Côte d’Ivoire
2(0.00%)
2(0.00%)
2(0.00%)
0.00%
3.50
00:00:02
0(0.00%)
£0.00(0.00%)
0.00%
146.
Gibraltar
2(0.00%)
1(0.00%)
2(0.00%)
0.00%
4.00
00:03:58
0(0.00%)
£0.00(0.00%)
0.00%
147.
Libya
2(0.00%)
2(0.00%)
2(0.00%)
50.00%
3.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
148.
Madagascar
2(0.00%)
2(0.00%)
2(0.00%)
50.00%
2.50
00:00:18
0(0.00%)
£0.00(0.00%)
0.00%
149.
Macao
2(0.00%)
2(0.00%)
2(0.00%)
50.00%
3.00
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
150.
Mozambique
2(0.00%)
2(0.00%)
2(0.00%)
0.00%
14.00
00:03:35
0(0.00%)
£0.00(0.00%)
0.00%
151.
Nicaragua
2(0.00%)
2(0.00%)
2(0.00%)
50.00%
1.50
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
152.
Papua New Guinea
2(0.00%)
2(0.00%)
2(0.00%)
0.00%
3.00
00:01:12
0(0.00%)
£0.00(0.00%)
0.00%
153.
Palestine
2(0.00%)
1(0.00%)
2(0.00%)
0.00%
2.00
00:03:15
0(0.00%)
£0.00(0.00%)
0.00%
154.
Sint Maarten
2(0.00%)
2(0.00%)
2(0.00%)
0.00%
10.00
00:01:33
0(0.00%)
£0.00(0.00%)
0.00%
155.
Eswatini
2(0.00%)
2(0.00%)
2(0.00%)
0.00%
8.50
00:00:05
0(0.00%)
£0.00(0.00%)
0.00%
156.
Kosovo
2(0.00%)
2(0.00%)
2(0.00%)
50.00%
3.00
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
157.
Aruba
1(0.00%)
1(0.00%)
1(0.00%)
100.00%
1.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
158.
Benin
1(0.00%)
1(0.00%)
1(0.00%)
0.00%
6.00
00:00:06
0(0.00%)
£0.00(0.00%)
0.00%
159.
Congo - Brazzaville
1(0.00%)
1(0.00%)
1(0.00%)
0.00%
2.00
00:01:17
0(0.00%)
£0.00(0.00%)
0.00%
160.
Cuba
1(0.00%)
1(0.00%)
1(0.00%)
100.00%
1.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
161.
Dominica
1(0.00%)
1(0.00%)
1(0.00%)
0.00%
5.00
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
162.
Eritrea
1(0.00%)
1(0.00%)
1(0.00%)
100.00%
1.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
163.
Faroe Islands
1(0.00%)
1(0.00%)
1(0.00%)
0.00%
6.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
164.
Grenada
1(0.00%)
1(0.00%)
1(0.00%)
0.00%
5.00
00:00:02
0(0.00%)
£0.00(0.00%)
0.00%
165.
Greenland
1(0.00%)
1(0.00%)
1(0.00%)
0.00%
6.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
166.
Gambia
1(0.00%)
1(0.00%)
2(0.00%)
0.00%
6.00
00:00:01
0(0.00%)
£0.00(0.00%)
0.00%
167.
Haiti
1(0.00%)
1(0.00%)
3(0.00%)
100.00%
1.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
168.
Liberia
1(0.00%)
1(0.00%)
1(0.00%)
0.00%
4.00
00:03:05
0(0.00%)
£0.00(0.00%)
0.00%
169.
Monaco
1(0.00%)
1(0.00%)
1(0.00%)
100.00%
1.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
170.
Marshall Islands
1(0.00%)
1(0.00%)
1(0.00%)
100.00%
1.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
171.
Northern Mariana Islands
1(0.00%)
1(0.00%)
1(0.00%)
0.00%
4.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
172.
Mauritania
1(0.00%)
1(0.00%)
1(0.00%)
0.00%
3.00
00:00:06
0(0.00%)
£0.00(0.00%)
0.00%
173.
Malawi
1(0.00%)
1(0.00%)
1(0.00%)
100.00%
1.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
174.
New Caledonia
1(0.00%)
1(0.00%)
1(0.00%)
100.00%
1.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
175.
Palau
1(0.00%)
1(0.00%)
1(0.00%)
100.00%
1.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
176.
Paraguay
1(0.00%)
1(0.00%)
1(0.00%)
0.00%
6.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
177.
Sudan
1(0.00%)
1(0.00%)
1(0.00%)
0.00%
4.00
00:01:53
0(0.00%)
£0.00(0.00%)
0.00%
178.
San Marino
1(0.00%)
1(0.00%)
1(0.00%)
0.00%
8.00
00:07:14
0(0.00%)
£0.00(0.00%)
0.00%
179.
Senegal
1(0.00%)
1(0.00%)
1(0.00%)
100.00%
1.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
180.
Turks & Caicos Islands
1(0.00%)
1(0.00%)
1(0.00%)
100.00%
1.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
181.
Timor-Leste
1(0.00%)
1(0.00%)
1(0.00%)
100.00%
1.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
182.
St. Vincent & Grenadines
1(0.00%)
1(0.00%)
1(0.00%)
100.00%
1.00
00:00:00
0(0.00%)
£0.00(0.00%)
0.00%
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