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Another masterpiece from the creators of Traffic Racer. This time, you are behind the wheels of a motorbike in a much more detailed gaming experience, but also retaining the old school fun and simplicity.Traffic Rider takes the endless racing genre to a whole new level by adding a full career mode, first person view perspective, better graphics and real life recorded bike sounds. The essence of smooth arcade racing is still there but in the shell of the next generation. Ride your bike in the endless highway roads overtaking the traffic, upgrade and buy new bikes to beat the missions in career mode.Now it is time to hit the roads with a motorcycle!FEATURES- First person camera view- 34 motorbikes to choose from- Real motor sounds recorded from real bikes- Detailed environments with day and night variations- Career mode with 90+ missions- Online leaderboards and 30+ achievements- Support for 19 languages TIPS- The faster you ride, the more scores you get- When driving over 100 kmh, overtake traffic cars closely to get bonus scores and cash- Driving in opposite direction in two-way gives extra score and cash- Do wheelies to get extra score and cashFOLLOW US* * _rider*** No Timers, No Fuel *** Just pure endless fun!Traffic Rider will be updated regularly with your suggestions. Don't forget to leave a review with your feedback.

Pelagic cluster data representing 20 different categories [46] was downloaded from [70]. Following the methods of two previous pelagic Southern Ocean regionalizations [24, 71], the pelagic regionalization data we used was based on a non-hierarchical clustering algorithm to reduce the number of grid cells, followed by further refinement using a hierarchical clustering algorithm [46]. During the latter, clusters comprised of only one datum were merged into parent clusters (which occurred in five instances in cluster groups 2, 3, 8 and 13). The regionalization used summer climatological sea surface temperature [63], depth [72] and the proportion of time covered by sea ice as input variables [64]. These data were originally calculated south of 40S, but were bound to the CCAMLR Convention area for this analysis (Table 3). For further details on methods underpinning the generation of the pelagic regionalization data used in this analysis see [46].

Speedtest Intelligence reveals XFINITY overtook Spectrum to claim the fastest median download speed among top fixed broadband providers in the United States at 226.18 Mbps during Q4 2022. Spectrum was second at 225.33 Mbps, and Cox was third at 212.37 Mbps. Optimum was fourth, AT&T Internet fifth, and Verizon sixth.

At the state level, New Jersey again showed the fastest median download speed over fixed broadband in the U.S. during Q4 2022 at 216.00 Mbps. Delaware was second, Rhode Island third, Connecticut fourth, and New York fifth.

Wyoming had the slowest median download speed in the U.S. during Q4 2022 at 92.42, a huge increase over the speed of the slowest state in Q3 2022 (Alaska at 59.40 Mbps). Montana was next slowest, then Alaska, New Mexico, and Vermont.

Considering the 100 most populous cities in the U.S., Jersey City, New Jersey again took the top spot as the fastest city for median download speeds over fixed broadband at 253.28 Mbps. San Antonio, Texas was second; Raleigh, North Carolina third; Corpus Christi, Texas fourth; and Lincoln, Nebraska fifth.

Memphis, Tennessee again had the slowest median download speed over fixed broadband among the 100 most populous cities in the U.S. during Q4 2022. Detroit, Michigan was second slowest; Seattle, Washington third slowest; Toledo, Ohio fourth slowest; and Denver, Colorado fifth slowest.

Speedtest Intelligence reveals T-Mobile was the fastest mobile operator in the United States during Q4 2022 with a median download speed of 151.37 Mbps on modern chipsets, a substantial increase from 116.14 Mbps during Q3 2022. Verizon Wireless and AT&T were distant runners up.

Among the most popular devices in the U.S. during Q4 2022, the Samsung Galaxy Z Fold4 had the fastest median download speed at 147.25 Mbps. The Google Pixel 7 Pro was second at 137.11 Mbps, then the Apple iPhone 14 Pro Max, Apple iPhone 14 Pro, and the Samsung Galaxy S22 Ultra. For context, no device achieved over 100 Mbps during Q4 2021.

We examined combined performance by major cell phone manufacturers and found that Samsung devices had the fastest median download speed in the U.S. during Q4 2022 at 79.43 Mbps followed by Apple at 72.62 Mbps.

St. Paul, Minnesota had the fastest median mobile download speed among the 100 most populous cities in the U.S. at 139.66 Mbps during Q4 2022. Columbus, Ohio was second; Plano, Texas was third; Arlington, Texas fourth; and Pittsburgh, Pennsylvania was fifth.

Synology Surveillance Station offers a centralized interface to manage IP cameras deployed in your workplace, allowing users traveling miles away to safeguard their environments by watching live views, recording events, and taking snapshots with computers or mobile devices. DS418j is an ideal surveillance solution as it is capable of hosting up to 16 IP cameras (480FPS at 720p). In addition to its intuitive setup and hassle-free interface, Surveillance Station features an optimized live view experience with on-screen operations, smart analytic tools like motion detection, and an alert system that sends instant notification through DS cam, SMS, and e-mail.

American Society of Hematology/ American Society of Oncology (ASH/ASCO) developed practice guidelines for the use of erythropoietin (Epo), a drug whose annuals sales exceed several billions of dollars in the US alone, based on the systematic review of the effects of Epo on various clinical outcomes of interest including improvement of anemia by increase of hemoglobin[4]. The results were expressed as the mean increase in hemoglobin in Epo arm compared with the control. However, a number of the papers reported median increase instead of mean increase and standard deviation. Due to lack of available methods to use median values, the authors of this important review, decided not to use these papers in their meta-analysis. Recently, the Cochrane review was published attempting to provide more updated analysis of the effects of Epo in anemia related to malignancy [5]. The Cochrane reviewers did meta-analyze data to calculate an average weighted mean increase in hemoglobin as the result of Epo treatment. However, the Cochrane investigators could not include the totality of evidence in relation to this outcome since a number of the trials reported data as medians instead of means. Therefore, published meta-analyses related to the effect of Epo in anemia due to malignancy suffer from the phenomena akin to the outcome reporting bias [6] simply due to fact that methods are not yet developed to allow researches to use data medians.

For the first of these studies [9], by Welch at al, the ASH/ASCO guidelines paper reported the mean hemoglobin change for each of the two arms, the experimental and the control. However, they did not report the data for the standard deviation of these means. Since the size of each arm is 15 patients, our formula (16) provides the best estimate of the standard deviation using the median and the range. We used Figure 1 on page 263 in Welch at al. [9] to estimate the range of the hemoglobin change for each arm and used formula (16) to determine the standard deviation. The ASH/ASCO guidelines paper also reported the difference in medians of hemoglobin response for the largest study eligible for the meta-analysis conducted by Thatcher at al [10]. Thatcher et al do report in their paper ranges of hemoglobin for patients treated by Epo and control. This trial was a three-arm study, in which two doses of Epo were compared against the control. For the purpose of this analysis, we separated the data from each of the Epo arms and compared them against one half of the control group (just like the rest of the studies in the Cochrane review). Using the methods described here, we were able to estimate mean increase (using formula (5)) and standard deviation (using Range/4 formula in both comparisons). When we incorporated these results into the Cochrane meta-analysis, we found that the effect of Epo on mean increase in hemoglobin significantly changed: the pooled estimate decreased from an average of 2.05 g/dl in hemoglobin increase to 1.22 g/dl, i.e., a decrease of approximately 40% (see Figure 3)!

This example outlines how our method can be potentially useful for meta-analysts. It is important to realize that this example is provided only to illustrate our method. Our goal here is not to challenge the Cochrane review or ASH/ASCO guidelines. Nevertheless, we believe that this example is a good illustration of the potential of our method. While it is common practice that the investigators simply pool what is available to them it is actually not known how often studies are excluded because of reporting a different summary statistic. In future we will attempt to systematically address this issue and evaluate, for example, how often the Cochrane reviews did not pool data from the available median values when they pooled data on continuous outcomes. We hope that availability of our methods to the wider meta-analytic audience may further improve the inclusiveness of all relevant studies for the Cochrane and other meta-analyses. 041b061a72


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