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Edit radio logo matrix s2. Tanaka T21 New Samurai HD. Untuk Anda yang ingin mengupgrade receiver Tanaka T22 HD Mario Bomberman dengan software atau firmware terbaru silahkan unduh di bawah ini. Download Software disini. Konektor HDMI, VGA DB9 Dan Audio. › Download File Software Upgrade Receiver Parabola Tanaka T21 / T-21 HD Ethernet Terbaru. Mar 27, 2016 - [–]DaiGurenZero 1 point2 points3 points 1 year ago (0 children). Yeah I remember we butted heads a couple of times, I quit around the time when 7 stars was released. I only started SW right around september last year so yeah. It's all good bro, you're being a massive help to everyone around here in this.Missing.
. Bax, Leon; Yu, Ly-Mee; Ikeda, Noriaki; Tsuruta, Harukazu; Moons, Karel G M 2006-10-13 Meta-analysis has become a well-known method for synthesis of quantitative data from previously conducted research in applied health sciences. So far, meta-analysis has been particularly useful in evaluating and comparing therapies and in assessing causes of disease.
Consequently, the number of software packages that can perform meta-analysis has increased over the years. Unfortunately, it can take a substantial amount of time to get acquainted with some of these programs and most contain little or no interactive educational material.
We set out to create and validate an easy-to-use and comprehensive meta-analysis package that would be simple enough programming-wise to remain available as a free download. We specifically aimed at students and researchers who are new to meta-analysis, with important parts of the development oriented towards creating internal interactive tutoring tools and designing features that would facilitate usage of the software as a companion to existing books on meta-analysis. We took an unconventional approach and created a program that uses Excel as a calculation and programming platform. The main programming language was Visual Basic, as implemented in Visual Basic 6 and Visual Basic for Applications in Excel 2000 and higher.
The development took approximately two years and resulted in the 'MIX' program, which can be downloaded from the program's website free of charge. Next, we set out to validate the MIX output with two major software packages as reference standards, namely STATA (metan, metabias, and metatrim) and Comprehensive Meta-Analysis Version 2.
Eight meta-analyses that had been published in major journals were used as data sources. All numerical and graphical results from analyses with MIX were identical to their counterparts in STATA and CMA. The MIX program distinguishes itself from most other programs by the extensive graphical output, the click-and-go (Excel) interface, and the educational features. The MIX program is a.
Bax, Leon; Yu, Ly-Mee; Ikeda, Noriaki; Tsuruta, Harukazu; Moons, Karel GM 2006-01-01 Background Meta-analysis has become a well-known method for synthesis of quantitative data from previously conducted research in applied health sciences. So far, meta-analysis has been particularly useful in evaluating and comparing therapies and in assessing causes of disease. Consequently, the number of software packages that can perform meta-analysis has increased over the years. Unfortunately, it can take a substantial amount of time to get acquainted with some of these programs and most contain little or no interactive educational material. We set out to create and validate an easy-to-use and comprehensive meta-analysis package that would be simple enough programming-wise to remain available as a free download.
We specifically aimed at students and researchers who are new to meta-analysis, with important parts of the development oriented towards creating internal interactive tutoring tools and designing features that would facilitate usage of the software as a companion to existing books on meta-analysis. Results We took an unconventional approach and created a program that uses Excel as a calculation and programming platform. The main programming language was Visual Basic, as implemented in Visual Basic 6 and Visual Basic for Applications in Excel 2000 and higher.
The development took approximately two years and resulted in the 'MIX' program, which can be downloaded from the program's website free of charge. Next, we set out to validate the MIX output with two major software packages as reference standards, namely STATA (metan, metabias, and metatrim) and Comprehensive Meta-Analysis Version 2. Eight meta-analyses that had been published in major journals were used as data sources. All numerical and graphical results from analyses with MIX were identical to their counterparts in STATA and CMA.
The MIX program distinguishes itself from most other programs by the extensive graphical output, the click-and-go (Excel) interface, and the educational features. Rudner, Lawrence M.; Glass Gene V.; Evartt, David L.; Emery, Patrick J. This manual and the accompanying software are intended to provide a step-by-step guide to conducting a meta-analytic study along with references for further reading and free high-quality software, 'Meta-Stat.' 'Meta-Stat' is a comprehensive package designed to help in the meta-analysis of research studies in the social and behavioral sciences. Tang, Zheng-Zheng; Lin, Dan-Yu 2015-07-02 There is heightened interest in using next-generation sequencing technologies to identify rare variants that influence complex human diseases and traits. Meta-analysis is essential to this endeavor because large sample sizes are required for detecting associations with rare variants. In this article, we provide a comprehensive overview of statistical methods for meta-analysis of sequencing studies for discovering rare-variant associations.
Specifically, we discuss the calculation of relevant summary statistics from participating studies, the construction of gene-level association tests, the choice of transformation for quantitative traits, the use of fixed-effects versus random-effects models, and the removal of shadow association signals through conditional analysis. We also show that meta-analysis based on properly calculated summary statistics is as powerful as joint analysis of individual-participant data. In addition, we demonstrate the performance of different meta-analysis methods by using both simulated and empirical data. We then compare four major software packages for meta-analysis of rare-variant associations-MASS, RAREMETAL, MetaSKAT, and seqMeta-in terms of the underlying statistical methodology, analysis pipeline, and software interface. Finally, we present PreMeta, a software interface that integrates the four meta-analysis packages and allows a consortium to combine otherwise incompatible summary statistics. Hebert, Michael; Bohaty, Janet J.; Nelson, J. Ron; Brown, Jessica 2016-01-01 In this meta-analysis of 45 studies involving students in Grades 2-12, the authors present evidence on the effects of text structure instruction on the expository reading comprehension of students.
The meta-analysis was deigned to answer 2 sets of questions. The first set of questions examined the effectiveness of text structure instruction on. Shintani, Natsuko; Li, Shaofeng; Ellis, Rod 2013-01-01 This article reports a meta-analysis of studies that investigated the relative effectiveness of comprehension-based instruction (CBI) and production-based instruction (PBI). The meta-analysis only included studies that featured a direct comparison of CBI and PBI in order to ensure methodological and statistical robustness. A total of 35 research. Hebert, Michael; Bohaty, Janet J.; Nelson, J. Ron; Brown, Jessica 2016-01-01 In this meta-analysis of 45 studies involving students in Grades 2-12, the authors present evidence on the effects of text structure instruction on the expository reading comprehension of students.
The meta-analysis was deigned to answer 2 sets of questions. The first set of questions examined the effectiveness of text structure instruction on. Wallace, Byron C; Schmid, Christopher H; Lau, Joseph; Trikalinos, Thomas A 2009-12-04 Meta-analysis is increasingly used as a key source of evidence synthesis to inform clinical practice. The theory and statistical foundations of meta-analysis continually evolve, providing solutions to many new and challenging problems. In practice, most meta-analyses are performed in general statistical packages or dedicated meta-analysis programs. Herein, we introduce Meta-Analyst, a novel, powerful, intuitive, and free meta-analysis program for the meta-analysis of a variety of problems. Meta-Analyst is implemented in C# atop of the Microsoft.NET framework, and features a graphical user interface.
The software performs several meta-analysis and meta-regression models for binary and continuous outcomes, as well as analyses for diagnostic and prognostic test studies in the frequentist and Bayesian frameworks. Moreover, Meta-Analyst includes a flexible tool to edit and customize generated meta-analysis graphs (e.g., forest plots) and provides output in many formats (images, Adobe PDF, Microsoft Word-ready RTF). The software architecture employed allows for rapid changes to be made to either the Graphical User Interface (GUI) or to the analytic modules.We verified the numerical precision of Meta-Analyst by comparing its output with that from standard meta-analysis routines in Stata over a large database of 11,803 meta-analyses of binary outcome data, and 6,881 meta-analyses of continuous outcome data from the Cochrane Library of Systematic Reviews. Results from analyses of diagnostic and prognostic test studies have been verified in a limited number of meta-analyses versus MetaDisc and MetaTest. Bayesian statistical analyses use the OpenBUGS calculation engine (and are thus as accurate as the standalone OpenBUGS software).
We have developed and validated a new program for conducting meta-analyses that combines the advantages of existing software for this task. Brown, Heather M.; Oram-Cardy, Janis; Johnson, Andrew 2013-01-01 This meta-analysis examined 36 studies comparing autism spectrum disorder (ASD) and control groups in reading comprehension. Three moderators (semantic knowledge, decoding skill, PIQ) and two text types (high vs. Low social knowledge) were examined as predictors of reading comprehension in ASD. The overall standardized mean difference for reading.
Hebert, Michael; Simpson, Amy; Graham, Steve 2013-01-01 The purposes of this review were to determine: (1) if different writing activities were more effective than others in improving students' reading comprehension, and (2) if obtained differences among writing activities was related to how reading comprehension was measured? Meta-analysis was used to examine these questions across studies involving. Chan, Kan Kan; Leung, Siu Wai 2014-01-01 Dynamic geometry software (DGS) aims to enhance mathematics education. This systematic review and meta-analysis evaluated the quasi-experimental studies on the effectiveness of DGS-based instruction in improving students' mathematical achievement.
Research articles published between 1990 and 2013 were identified from major databases according to a. Chan, Kan Kan; Leung, Siu Wai 2014-01-01 Dynamic geometry software (DGS) aims to enhance mathematics education. This systematic review and meta-analysis evaluated the quasi-experimental studies on the effectiveness of DGS-based instruction in improving students' mathematical achievement. Research articles published between 1990 and 2013 were identified from major databases according to a. Spencer, Mercedes; Wagner, Richard K. 2017-01-01 We conducted a meta-analysis of 16 existing studies to examine the nature of the comprehension problems for children who were second-language learners with poor reading comprehension despite adequate decoding.
Results indicated that these children had deficits in oral language (d = -0.80), but these deficits were not as severe as their reading. Jeon, Eun Hee; Yamashita, Junko 2014-01-01 The present meta-analysis examined the overall average correlation (weighted for sample size and corrected for measurement error) between passage-level second language (L2) reading comprehension and 10 key reading component variables investigated in the research domain. Four high-evidence correlates (with 18 or more accumulated effect sizes: L2. Jeon, Eun Hee; Yamashita, Junko 2014-01-01 The present meta-analysis examined the overall average correlation (weighted for sample size and corrected for measurement error) between passage-level second language (L2) reading comprehension and 10 key reading component variables investigated in the research domain. Four high-evidence correlates (with 18 or more accumulated effect sizes: L2. Wang, Dan; Mou, Zhen-yun; Zhai, Jun-xia; Zong, Hong-xia; Zhao, Xiao-dong 2008-07-01 To introduce the application of Stata software to heterogeneity test in meta-analysis. A data set was set up according to the example in the study, and the corresponding commands of the methods in Stata 9 software were applied to test the example.
The methods used were Q-test and I2 statistic attached to the fixed effect model forest plot, H statistic and Galbraith plot. The existence of the heterogeneity among studies could be detected by Q-test and H statistic and the degree of the heterogeneity could be detected by I2 statistic. The outliers which were the sources of the heterogeneity could be spotted from the Galbraith plot. Heterogeneity test in meta-analysis can be completed by the four methods in Stata software simply and quickly. H and I2 statistics are more robust, and the outliers of the heterogeneity can be clearly seen in the Galbraith plot among the four methods. Pastor, Dena A; Lazowski, Rory A 2017-09-27 The term 'multilevel meta-analysis' is encountered not only in applied research studies, but in multilevel resources comparing traditional meta-analysis to multilevel meta-analysis. In this tutorial, we argue that the term 'multilevel meta-analysis' is redundant since all meta-analysis can be formulated as a special kind of multilevel model.
To clarify the multilevel nature of meta-analysis the four standard meta-analytic models are presented using multilevel equations and fit to an example data set using four software programs: two specific to meta-analysis (metafor in R and SPSS macros) and two specific to multilevel modeling (PROC MIXED in SAS and HLM). The same parameter estimates are obtained across programs underscoring that all meta-analyses are multilevel in nature. Despite the equivalent results, not all software programs are alike and differences are noted in the output provided and estimators available.
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This tutorial also recasts distinctions made in the literature between traditional and multilevel meta-analysis as differences between meta-analytic choices, not between meta-analytic models, and provides guidance to inform choices in estimators, significance tests, moderator analyses, and modeling sequence. The extent to which the software programs allow flexibility with respect to these decisions is noted, with metafor emerging as the most favorable program reviewed. Taylor, S 2013-07-01 Twin studies indicate that obsessive-compulsive disorder (OCD) is strongly influenced by additive genetic factors. Yet, molecular genetic association studies have yielded inconsistent results, possibly because of differences across studies in statistical power.
Meta-analysis can yield greater power. This study reports the first comprehensive meta-analysis of the relationship between OCD and all previously examined polymorphisms for which there was sufficient information in the source studies to compute odds ratios (ORs). A total of 230 polymorphisms from 113 genetic association studies were identified.
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A full meta-analysis was conducted for 20 polymorphisms that were examined in 5 or more data sets, and a secondary meta-analysis (limited to the computation of mean effect sizes) was conducted for 210 polymorphisms that were examined in fewer than 5 data sets. In the main meta-analysis, OCD was associated with serotonin-related polymorphisms (5-HTTLPR and HTR2A) and, in males only, with polymorphisms involved in catecholamine modulation (COMT and MAOA). Nonsignificant trends were identified for two dopamine-related polymorphisms (DAT1 and DRD3) and a glutamate-related polymorphism (rs3087879). The secondary meta-analysis identified another 18 polymorphisms with significant ORs that merit further investigation. This study demonstrates that OCD is associated with multiple genes, with most having a modest association with OCD. This suggests a polygenic model of OCD, consistent with twin studies, in which multiple genes make small, incremental contributions to the risk of developing the disorder.
Future studies, with sufficient power to detect small effects, are needed to investigate the genetic basis of OCD subtypes, such as early vs late onset OCD. Brown, Heather M; Oram-Cardy, Janis; Johnson, Andrew 2013-04-01 This meta-analysis examined 36 studies comparing autism spectrum disorder (ASD) and control groups in reading comprehension. Three moderators (semantic knowledge, decoding skill, PIQ) and two text types (high vs. Low social knowledge) were examined as predictors of reading comprehension in ASD. The overall standardized mean difference for reading comprehension was g = -0.7 SD. The strongest individual predictors of reading comprehension were semantic knowledge (explaining 57% of variance) and decoding skill (explaining 55% of variance).
Individuals with ASD were significantly worse at comprehending highly social than less social texts. Having ASD alone does not predict reading comprehension deficits. Instead, individual skills, especially language ability, must be considered before one can accurately predict whether a given individual with ASD will experience difficulties in reading comprehension. Spencer, Mercedes; Wagner, Richard K 2017-05-01 We conducted a meta-analysis of 16 existing studies to examine the nature of the comprehension problems for children who were second-language learners with poor reading comprehension despite adequate decoding. Results indicated that these children had deficits in oral language (d = -0.80), but these deficits were not as severe as their reading comprehension deficit (d = -2.47). Second-language learners also had weaker oral language skills compared to native-speaking children regardless of comprehension status (d = -0.84). We discuss theoretical and practical implications of the finding that second-language learners who are poor at reading comprehension despite adequate decoding have deficits in oral language but the deficit is not sufficient to explain their deficit in reading comprehension.
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Every day Monday, Wednesday and Friday we will be discussing a monster. Previous DMD threads: Last time vote: 46 Samurai 24 kobold bomber 20 death knight. Voting for next DMD: Voting for best element: Voting for better title: samurai: Fire Samurai (Jun) Type: Attack Stats at level 35-Awakened HP: 6180 ATK: 646 DEF: 396 SPD: 103 Awakening bonus: +15% crit chance.
Wield: Wields the sword to attack and decreases the Defense for 2 turns with a 50% chance. This skill has a 10% chance to activate the Sword of the Supreme Sky Wolf. Double Slash: Attacks the enemy twice and inflicts continuous damage for 2 turns if you get a critical hit. This skill has a 30% chance to activate the Sword of the Supreme Sky Wolf. (Reusable in 4 turn(s)). Flame Slash: Attacks all enemies with flaming sword energy.
Each attack has a 40% chance to decrease the enemies' Attack Power for 2 turns. This skill has a 50% chance to activate the Sword of the Supreme Sky Wolf. (Reusable in 5 turn(s)). Sword of the Supreme Sky Wolf: Attacks and deals great damage to all enemies with a secret skill. Ignores all shield and invincibility effects. Water Samurai (Kaz) Type: Attack Stats at level 35-Awakened HP: 6660 ATK: 638 DEF: 371 SPD: 103 Awakening bonus: Increases Effect Accuracy by 25%.
Wield. Air Slash: Shoots a sharp energy from the sword, wich has a 50% chance of landing as a critical hit. This skill has a 20% chance to activate the Sword of the Supreme Sky Wolf. (Reusable in 3 turn(s)). Charging Slash: Quickly draws a sword to attack the enemy 2 times, with each attack having a 50% chance to decrease the target's Attack Bar by 50%. The damage increases according to your Attack Speed. This skill has a 50% chance to activate the Sword of the Supreme Sky Wolf.
(Reausable in 5 turn(s)). Sword of the Supreme Sky Wolf Wind Samurai (Kaito) Type: Attack Stats at level 35-Awakened HP: 7500 ATK: 533 DEF: 420 SPD: 103 Awakening bonus: Increases Effect Accuracy by 25%. Wield.
Air Slash: Shoots a sharp energy from the sword, wich has a 50% chance of landing as a critical hit. This skill has a 20% chance to activate the Sword of the Supreme Sky Wolf. (Reusable in 3 turn(s)). Thunder Wield: Attacks an enemy with lightning speed, putting the target's skills on cooldown. The damage increases according to your Attack Speed. This skill has a 50% chance to activate the Sword of the Supreme Sky Wolf.
(Reusuable in 5 turn(s)). Sword of the Supreme Sky Wolf Light Samurai (Tosi) Type: Attack Stats at level 35-Awakened HP: 6060 ATK: 654 DEF: 396 SPD: 105 Awakening bonus: Increases Resistance by 25%.
Wield. Air Slash: Shoots a sharp energy from the sword, wich has a 50% chance of landing as a critical hit. This skill has a 20% chance to activate the Sword of the Supreme Sky Wolf. (Reusable in 3 turn(s)). Light Slash: Attacks all enemies 2 times with shining sword energy. Each attack deals 20% increased damage if the enemy is under weakening effects, and is guaranteed a Critical Hit if the target has dark attribute. This skill has a 50% chance to activate the Sword of the Supreme Sky Wolf.
(Reusable in 5 turn(s)). Sword of the Supreme Sky Wolf Dark Samurai (Sige) Type: Attack Stats at level 35-Awakened HP: 6420 ATK: 670 DEF: 355 SPD: 105 Awakening bonus: Increase Effect Accuracy by 25%. Wield. Double Slash: Attacks the enemy twice and inflicts continuous damage for 2 turns if you get a critical hit.
This skill has a 30% chance to activate the Sword of the Supreme Sky Wolf. (Reusuable in 4 turn(s)). Dark Slash: Attacks all enemies 2 times with the energy of pitch-black darkness. Each attack deals 25% increased damage if the enemy is under weakening effects, and is guaranteed a Critical Hit if the target has light attribute.
This skill has a 50% chance to activate the Sword of the Supreme Sky Wolf. (Reusable in 5 turn(s)). Sword of the Supreme Sky Wolf If you have suggestions or tips for DMD be sure to tell them. Taking suggestions for thread name (daily is not really the case), strawpoll for new mon is capped at 30 so I just picked mons that looked interesting and/or weren't yet discussed. I took Samurai out (since he won) and put Arch angel in due popular demand. If you feel you want to discuss a monster that isn't on the list make a post and I'll put it on, maybe also suggest a mon I can take of the list so I have more space.
I'm waiting to pull a Sige. His third skill is unbelievable. But until then, I have a Kaz. I'm not going to lie, SSSW did not make or break the units. It didn't give them a super huge power boost, but what it did do, is give them that very mild boost that they needed to increase versatility, output, and 'cool-factor.'
That mild boost, was just enough to make them worth your time and effort. Previously, as in before SSSW, I would have ranked Kaz as the best, because of his versatility and capabilities. However, I have to put Jun ahead of his brothers (except Sige), by a very long shot now. For 2 reasons: Jun gets a crit bonus on awakening.
Jun has a double AoE now. You can build Jun however you want now. Violent to ensure a small chance of double-AoE?
Despair for double AoE control in high ToA Hard? With a second skill that gives 2 DoTs, this works too. Rage for pure damage? Vampire for farming Faimon Hell? He has the stats to say it should work without a problem.
I wish I had a Jun or a Sige, but since I have Kaz, I'll talk about him a little bit. SSSW will not save you against Chloe.
It won't save you against much actually. But it put him over the edge in one crucial place for me. He instantly became a part of my ToA 100 dedicated team. One of the hardest things in ToA 100 to deal with, is getting past the very first stage with units that ALSO do damage to the boss. I have a Praha, but that isn't the direction I wanted to go. She is a liability at the boss stage. Passes damage threshold to make viable at boss?
Makes clearing first stage cake? My Kaz is currently lvl 40 wearing Rage/Energy with 13663 hp, 2529 ATT, 850 DEF, 129 SPD, 40% critR, 116% critD, and 67% ACC. The accuracy subs are because they were the only rage runes I had that were six star. He is wearing ATT/ATT/ATT with +15 2/6 and a +12 4-slot. He hits like a truck. I don't normally run teams with buff/debuff often, because most of my best units are control/sustain. But when I attack boost him with Kona, and shred defense with Bella, his third skill hits for 14-16k PER HIT.
I almost never see the third skill decrease attack bar, and I don't think he's ever shredded defense ever. Eventually I hope to replace the current six star att runes on him for Vampire/Revenge with ATT/CritD/ATT using. His first and second skill don't have the best damage modifiers in the game, but his natural HP is enough to work with to put him past the threshold of vampire viability against the ToA boss, and in Faimon Hell. Mine cannot auto Faimon hell, but he can manual it. With Vampire, I don't expect it to be a problem.
It's important to know, with those stats, He still has slight trouble with the inugamis. Depending on how well his attack debuff lands on the last stage he sometimes fails if there are 3 of them, or if SSSW doesn't land and you have bad luck with debuffs (theirs or yours), it won't work. I like to use him with one 5. that I need to level anyway, and 2 fodders. He can't auto, so lately I've just been doing area 3 on hard b/c I need a rune with more speed for my kona.
He can auto area 3 on hard very easily, rarely fails (damn sleep skill).