The document discusses popular global reports and indices that rank countries, such as the UN's Human Development Index. It finds that these indices are flawed and inconsistent, containing logical, technical, and statistical errors. Specifically, it analyzes the HDI and finds it is an oversimplification of development and overly dependent on income. Overall, the document argues these influential global indices are not as robust or credible as commonly believed.
This presentation explains all the important points about one of the major measures of development of a country that is the Human Development Index. This presentation includes the definition,history,dimension, calculation,geographical coverage, past top countries and the criticism of Human Development Index.
The Local Human Development Index - policy tool in PolandPiotr Arak
OECD-Universities Joint Conference
July 2013 — France
“Economics for a Better World”
This will be the third international conference of economists interested in welfare economics and public policy broadly defined. This 3rd conference will follow those organised in Oxford (July 2009) and Paris (July 2011). The 2013 OECD-Universities Joint Conference will be informed by the work done over the past decade by economists, statisticians and social analysts to develop broad measures of well-being, and touch on some of the well-being dimensions included in recent OECD reports on the subject. The conference will feature research papers, panel discussions and plenary talks organised by researchers from a range of institutions in Europe, mainly.
This presentation explains all the important points about one of the major measures of development of a country that is the Human Development Index. This presentation includes the definition,history,dimension, calculation,geographical coverage, past top countries and the criticism of Human Development Index.
The Local Human Development Index - policy tool in PolandPiotr Arak
OECD-Universities Joint Conference
July 2013 — France
“Economics for a Better World”
This will be the third international conference of economists interested in welfare economics and public policy broadly defined. This 3rd conference will follow those organised in Oxford (July 2009) and Paris (July 2011). The 2013 OECD-Universities Joint Conference will be informed by the work done over the past decade by economists, statisticians and social analysts to develop broad measures of well-being, and touch on some of the well-being dimensions included in recent OECD reports on the subject. The conference will feature research papers, panel discussions and plenary talks organised by researchers from a range of institutions in Europe, mainly.
these slides are according to Pakistan HDI and covering the aspects and some important details of HDI.
Little bit description and introduction of HDI as well.
Small assignment I did to investigate Human Development Indicators of Pakistan V Srilanka V UAE and couple more.
All data is available from UNDP Website
Nepal poverty mapping Project: Human Development Report DataNepDevWiki
The slideshow compiles data for Nepal based on 2009 UNDP Human Development Report for Nepal. This is part of the Nepal Poverty Mapping Project of Nepal Development Wiki. (nepaldevelopment.pbworks.com)
It described, how do we measure development. Various development indicators. HDI, GDP, GNP etc. Where India stands in HDI. the comparison among developed nations and among SAARC nations.
Economic Development Indicators, indices and HDIShahzaib Khan
Studying development is about measuring how developed one country is compared to other countries, or to the same country in the past. Development measures how economically, politically, socially, culturally or technologically advanced a country is. There are a few indices and economic development indicators to measure development.
A Critical Analysis of Development IndicesAin Atiya Azmi
A summary of the report written by Sumayyah Abdul Aziz, Ruzita Mohd Amin, Selamah Abdullah Yusof, Mohamed Aslam Haneef, Mustafa Omar Mohamed & Gapur Oziev (APRIL 2015) presented by our group during ECON 1710 Foundation of Islamic Economics class at IIUM
mark received: 17/20
Presentation of website project that introduces the concept of Human Development Index, which includes an interactive visualization (choropleth and cartogram) and a table with sparklines (of some selected countries).
Advanced search and Top-k queries in Cassandra - Cassandra Summit Europe 2014Andrés de la Peña
This presentation introduces the open sourced Lucene based implementation of the Cassandra secondary indexes developed by Stratio. It allows users to make complex queries in Cassandra using CQL3, including full text search, top-k queries and free multivariable search. Relevance queries and filters can be combined to make searches such as “give me the 100 tweets that best matches this phrase of those written in a certain date range”.
Cluster-wide relevance search allows retrieving the N more relevant results that meet a given condition. It’s done through a modified version of Cassandra’s storage proxy in which the coordinator node requests the N best results of each node in the cluster in parallel and combines their partial results to get the N best of them.
Stratio’s index is fully compatible with Apache Spark and Apache Hadoop because it supports all the key/token restrictions in the CQL3 statements. Filters are a powerful help when analyzing the data stored in Cassandra with MapReduce frameworks such as Hadoop or, even better, Spark. Filtering the job input avoids full data scanning, dramatically reducing the amount of data to be processed.
Any cell in the tables can be indexed, including primary keys as well as collections. CQL3 wide rows are also supported.
these slides are according to Pakistan HDI and covering the aspects and some important details of HDI.
Little bit description and introduction of HDI as well.
Small assignment I did to investigate Human Development Indicators of Pakistan V Srilanka V UAE and couple more.
All data is available from UNDP Website
Nepal poverty mapping Project: Human Development Report DataNepDevWiki
The slideshow compiles data for Nepal based on 2009 UNDP Human Development Report for Nepal. This is part of the Nepal Poverty Mapping Project of Nepal Development Wiki. (nepaldevelopment.pbworks.com)
It described, how do we measure development. Various development indicators. HDI, GDP, GNP etc. Where India stands in HDI. the comparison among developed nations and among SAARC nations.
Economic Development Indicators, indices and HDIShahzaib Khan
Studying development is about measuring how developed one country is compared to other countries, or to the same country in the past. Development measures how economically, politically, socially, culturally or technologically advanced a country is. There are a few indices and economic development indicators to measure development.
A Critical Analysis of Development IndicesAin Atiya Azmi
A summary of the report written by Sumayyah Abdul Aziz, Ruzita Mohd Amin, Selamah Abdullah Yusof, Mohamed Aslam Haneef, Mustafa Omar Mohamed & Gapur Oziev (APRIL 2015) presented by our group during ECON 1710 Foundation of Islamic Economics class at IIUM
mark received: 17/20
Presentation of website project that introduces the concept of Human Development Index, which includes an interactive visualization (choropleth and cartogram) and a table with sparklines (of some selected countries).
Advanced search and Top-k queries in Cassandra - Cassandra Summit Europe 2014Andrés de la Peña
This presentation introduces the open sourced Lucene based implementation of the Cassandra secondary indexes developed by Stratio. It allows users to make complex queries in Cassandra using CQL3, including full text search, top-k queries and free multivariable search. Relevance queries and filters can be combined to make searches such as “give me the 100 tweets that best matches this phrase of those written in a certain date range”.
Cluster-wide relevance search allows retrieving the N more relevant results that meet a given condition. It’s done through a modified version of Cassandra’s storage proxy in which the coordinator node requests the N best results of each node in the cluster in parallel and combines their partial results to get the N best of them.
Stratio’s index is fully compatible with Apache Spark and Apache Hadoop because it supports all the key/token restrictions in the CQL3 statements. Filters are a powerful help when analyzing the data stored in Cassandra with MapReduce frameworks such as Hadoop or, even better, Spark. Filtering the job input avoids full data scanning, dramatically reducing the amount of data to be processed.
Any cell in the tables can be indexed, including primary keys as well as collections. CQL3 wide rows are also supported.
Foro ABC y Bestinver: "El Futuro de las Pensiones"BESTINVER
La importancia de planificar la jubilación en un contexto de máxima incertidumbre.
Representantes del sector y académicos, entre los que se encontraba nuestro presidente, Beltrán de la Lastra, debatieron en ABC sobre la viabilidad del sistema de las pensiones en el foro ABC Economía patrocinado por Bestinver
NAP Training Viet Nam - Designing and Monitoring Gender Indicators in Climate...UNDP Climate
This two-day workshop supported the Government of Viet Nam in building the necessary capacity to advance its National Adaptation Plan (NAP) process. The workshop closely focused on building National Adaptation Plans in the agricultural sector through multi-stakeholder collaboration, and increased knowledge and capacity on a number of topics including: prioritization of adaptation options, cost-benefit analysis, overview of the broad-based nature of climate change adaption impacts, analysis of challenges, and creation of an open discussion with key stakeholders on defining a road-map for the NAP process. The workshop was delivered using discussions and case studies to enhance interactive learning for participants, with supporting presentations by GiZ and SNV.
When we think about self-organization the obvious context is a team. Everyone in the Agile world have heard about self-organized teams. We expect a boost of engagement and productivity when people aren’t told how to organize themselves.
Interestingly enough, despite all the benefits we see at a team level, almost no organizations try to scale the concept of self-organization up. The reason is the hierarchical power distribution structure that is at the core of almost all organizations. We commonly call it management. Introducing self-organization throughout the organization would require to redesign how it is managed. Is it even possible?
Let me walk you through that story. At Lunar Logic in less than 4 years we evolved from a traditional organizational model with strong management to fully self-organized company. Our CEO has equal access to information and equal decision-making power as an intern who we hired last month. We have no managers and are in need of none.
We are not crazy, mind you. The company didn’t collapse. Conversely, the retention has improved, motivation went through the roof, and financially the company has never been more stable as it is now. While I won’t lie that it’s been easy, the outcomes speak for themselves.
What you need to know to start an AI company?Mo Patel
An overview of why AI and Deep Learning are hot now? Overview f Machine Intelligence startups. What are the key ingredients for AI startup? How can AI startups compete with big tech companies and areas to focus on for differentiation?
The oVirt Project is an open virtualization project providing a feature-rich server and desktop virtualization management platform with advanced capabilities for hosts and guests, including high availability, live migration, storage management, system scheduler, and more.
oVirt provides an integration point for several open source virtualization technologies, including kvm, libvirt, spice and oVirt node.
oVirt was launched in November 2011 as a fully open source project, based on assets from Red Hat Virtualization Manager platform. The project has an open governance model, and initial board has members from IBM, Cisco, Netapp, Red Hat and SUSE.
The session will provide an intro to the project components and features.
Josje heeft Belgische firma opgericht met haar moederThierry Debels
Josje (Josina) Huisman heeft met haar moeder Joke (Josina) Schouls een Belgische onderneming opgericht.
Josje heeft 99 aandelen (participatiebewijzen), haar moeder Joke Schouls 1. De onderneming is opgericht voor onder andere het leveren van ‘acteer- en presentatiewerk voor televisie’.
My grumpy talk on "badge measles" and the confusions, side effects and missing parts of gamification at Playful 2010, September 24, 2010 in London, Conway Hall.
SETUP TO FAIL: How Institutions Use an Architectural and Design Advantage to ...ATLAS CONSULTING
A "Headlines"-focused Investor Presentation constructed specifically for Energy Complex equity investors. This deck uses third-party headlines to example how institutions use an architectural and design advantage to effectively take control of public companies prior to wiping out retail investors in a restructuring.
The Technical Debt Trap - Michael "Doc" NortonLeanDog
Technical Debt has become a catch-all phrase for any code that needs to be re-worked. Much like Refactoring has become a catch-all phrase for any activity that involves changing code.
These fundamental misunderstandings and comfortable yet mis-applied metaphors have resulted in a plethora of poor decisions.
What is technical debt?
What is not technical debt?
Why should we care?
What is the cost of misunderstanding?
What do we do about it?
15 minutes intro to the Sigfox service, before a Bosch presentation of their Sigfox usecases & implementation
Presentation made during Bosch Connected Experience (March 2017, Berlin)
HLEG thematic workshop on Measurement of Well Being and Development in Africa...StatsCommunications
HLEG thematic workshop on Measurement of Well Being and Development in Africa, 12-14 November 2015, Durban, South Africa, More information at: www.oecd.org/statistics/measuring-economic-social-progress
An Application of Logit Regression on Socio Economic Indicators in Gujaratijtsrd
The use of real time evaluation technologies to think about human behavior in a social setting is known as social experiences. This can be refined by examining a social gathering of individuals, reviewing a subset of data insights, and assessing a large amount of data relating to people and their behavior in a quantitative manner. In this study researcher examined Socio Economics indicators like Education, Health and Employment in Gujarat he also used Logit Regression as a statistical tool. It will be found that the most of the Sub Indicators are positively impact on Logit Regression model. Dr. Mahesh Vaghela "An Application of Logit Regression on Socio Economic Indicators in Gujarat" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42573.pdf Paper URL: https://www.ijtsrd.comother-scientific-research-area/other/42573/an-application-of-logit-regression-on-socio-economic-indicators-in-gujarat/dr-mahesh-vaghela
e terms economic development & economic growth are often understood as referring to the economic progress of a country. These are taken as pointers of higher standard of living and better quality of life. However, the perception of economist in this regard is quite different.
Beyond GDP: Measuring well-being and progress of NationsKübra Bayram
Everyone aspires to a good life. But what does a "good" (or better) life mean? In recent years, concerns have emerged that standard macro-economic statistics, such as GDP, which for a long time had been used as proxies to measure well-being, failed to give a true account of people’s current and future living conditions. The ongoing financial and economic crisis has reinforced this perception and it is now widely recognized that data on GDP provide only a partial perspective on the broad range of factors that matter to people’s lives.
DUBLEX PCA FOR LOANS & DEFAULTS of FINTURK DATASET with R SoftWareFatma ÇINAR
# This is an introductory study of Machine Learning study of Financial data
# We use an enhanced FINTURK data with NUTS and SEGE regional information
# Machine Learning techniques require very big computing power and memory of computers.
# PCA analysis and Dimentional Reduction techniques represents a suitable starting point to tackle with these questions
# This PPT representation covers the runnable R program of Duplex PCA Analysis and Clustering on FINTURK Data Credits and Defaults and resulting graphs.
Küresel sistemde yeni bir eğilim her yıl belirli zamanlarda bazı sosyo-politik ve ekonomik konularda raporlar ve bunlara bağlı endeksler üretmektir.
Bu çalışmalar seçkin küresel kuruluşlar tarafından gerçekleştirilmekte ve yine seçkin küresel kuruluşlar tarafından dikkate alınmaktadır.
Popüler, Etkili ama Hatalı: KÜRESEL SİSTEMDE ENDEKS TUZAKLARININ R TABANLI GR...Fatma ÇINAR
ulus-devlet üstü kuruluşların ürettiği küresel endeks (#UNDP, #WEF, #WSJ, #WFF, #MIT) gibi her endekse ilişkin raporlar endeks sıralamasında geride olan ülkelerin yanı sıra Türkiye’nin de rekabet gücü sıralamasını, risk primini ve dolayısıyla borçlanma faizini de etkiliyor. Öte yandan Ulus devletlerin boy sıralamasında yalnız üç parametre; yaşam beklentisi, okullaşma oranı ve kişi başına gelir dağılımı ile yarattığı istatistik bloklaşma ile Türkiye üzerindeki diğer endekslerin değirmenine su taşındığı söylenebilir.
R TABANLI İHRACAT/İTHALAT SEKTÖREL RİSK HARİTASI ENDEKSİFatma ÇINAR
TİM veri kaynaklarındaki en yeni zaman bandında yer alan ithalat/ihracat istatistiki verileriyle, dış ticaretimizdeki tüm sektörler gerçek zamanlı bir analiz tekniği olan R yazılımı ile Grafik Data Mining tabanlı bir harita endeksleme yaklaşımı ile analiz edilmiştir. Modelde R yazılımının RWorldMap ve muhtelif harita yapma paketleri kullanılmıştır.
Bu çalışma, dış ticaretin mevcut durumuna ilişkin tespitler, ulusal dış ticaret performansına bütünleşik bir bakış açısı getirmektedir. Dolayısıyla dış ticaretin genel portresini çizmekle kalmayıp, sektör, ürün ve ülke bazında pazarların performansını oldukça detaylı bir İhracat Risk Harita Endeksi’ne dönüştüren çalışma, bu anlamda bir ilk olma özelliği taşımaktadır.
R SOFTWARE #GGPLOT2 #BOXPLOT DATASET APLICATIONS YAEM'16Fatma ÇINAR
TÜRK BANKACILIK SİSTEMİNDE R TABANLI VERİ GÖRSELLEŞTİRME ANALİZİ:
ENERJİ KREDİLERİNİN RİSK ve TEMERRÜT HARİTASI
Türkiye'de Tarım ve Gıda Değer Zincirinde #YAEM16 Yöneylem Araştırması ve Endüstri >Mühendisliği 36.Ulusal Kongresi, Yaşar Üniversitesi 13-15 Temmuz 2016, İzmir
Unsupervised Machine Learning by Examples Clustering, Dimension Reduction, El...Fatma ÇINAR
Değişen konjonktürde artan ve çeşitlenen riskler yeni Risk Yönetimi ve tespit araçlarını zorluyor. Özellikle Bankacılık sektöründe riskin erken teşhisinde #R Software ve güçlü analitik paketleri ile yapılan analizler artık en çok tercih edilenler arasında.
Karar destek sistemlerinizde R ile çok boyutlu Risk profili analizi yapmak için;
Bankacılık dünyasına özel; R Yazılımı ile yeni Risk Analizi Eğitim Modülü Principal Componenet Analysis (PCA) Eğitim Modülü Eylülde ajandanıza kaydedin.
Derslerin Adları ve İçerikleri;
R ve Paketleri
R ile Data Okuma ve Kaydetme
İstatistik Data Modelleme
Linear-NonLinear Regresyon ve Anova
Genel Linear Modeller (GLM)
Lojistik Regresyon
Multivariate Analysis
Principal Component Analysis (PCA)
Factor Analysis (FA)
Correspondence Analysis (CA)
Kümeleme (Cluster) Analizi (k-means)
Bütün bu konular R RcmdrGui ve FactoMineR FactorExtra Paketleri ile işlenecek ve R Grafik Paketleri ile de desteklenecektir.
VISUAL ANALYSIS OF ELECTRICITY DEMAND: ENERGY DASHBOARD GRAPHICS Graphical Da...Fatma ÇINAR
A real time interactive data management for Impulse and Response Analysis Technique using lattice and ggplot2 Graphical Packages embedded in R software has been employed. Average consumption, peak consumption and daily consumption data have been used while the temperature data is also employed to highlight the significance of relationship between consumption and the weather conditions. The demand for electricity by the factors affecting the demand with a multi-dimensional matrix graphics based on Energy Dashboard Software has been analysed leading to visualisation.
Günümüz dünyasında “performansın zaman metriği değişmiştir, aynı zamanda performans düzeyi de artmıştır”. Dolayısıyla gerçek zamanlı bir analizden söz ediliyorsa firmanın yarattığı gerçek değerin ölçülmesine ve görselleştirilmesine olanak sağlayacak Grafik DataMining tekniğine yoğunlaşmaları ve bunu öğrenmeleri gerekiyor. Bu bağlamda günümüz iş modelinin temel sorunu “hâlâ analitik dünyanın ölü diyagramlarına itibar ediliyor olmasıdır”. Yaşayan çok boyutlu işletmeleri kâğıt üzerindeki iki boyutlu ölü diyagramlara indirgemek faydadan çok zarara yol açmaktadır.
Gelişen enformatik teknolojisinin olanak sağladığı veri depolama kapasitesinin konvansiyonel tekniklerle stratejik bilgiye dönüştürülemediği yaygın olarak paylaşılan bir gerçek. ASO Dergisi 2015 Aralık Sayısında yayınlanan bu çalışma dosyası matematiğin ve istatistiğin ötesinde bu verilerin bilgiye dönüştürülmesi ve risk yönetiminde kullanılması olanaklarını araştırıyor.
Bu rapor finansal verilerdeki temerrüt ve performansın ileri grafik yazılımları ile nasıl kolay anlaşılabilecek görsel hale getirildiğini sergiliyor.
Bu teknikle RİSK Tek Boyutlu bir Sayı değil Çok Boyutlu bir Profil olarak görülebiliyor
Turkiye 12 NUTS Bölgesi 81 ilinde ve Türkiye Genelinde 2010-2015 zaman diliminde verilen ENERJI kredilerinin Temerrüt durumu Raporu
Rapor ENERJI Kredilerinde yaşanan riskin Zaman ve Mekan üzerindeki dağılımını değerlendirmeyi amaçlamaktadır.
Turkiye 12 NUTS Bölgesi 81 ilinde ve Türkiye Genelinde 2010-2015 zaman diliminde verilen İnşaat kredilerinin Temerrüt durumu Raporu
Rapor İnşaat Kredilerinde yaşanan riskin Zaman ve Mekan üzerindeki dağılımını değerlendirmeyi amaçlamaktadır
Bu rapor finansal verilerdeki temerrüt ve performansın ileri grafik yazılımları ile nasıl kolay anlaşılabilecek görsel hale getirildiğini sergiliyor.
Bu teknikle RİSK
Tek Boyutlu bir Sayı değil
Çok Boyutlu bir Profil olarak görülebiliyor
AUTOMOTIVE DISTRIBUTERS ASSOCIATION (ADA) CHART OF TURKEY: Graphical Data-Min...Fatma ÇINAR
We are trainnig decipher this complexcity data Visualization.
Data Visualization packages of R software lattice and ggplot 2.
Case study: AUTOMOTIVE DISTRIBUTERS ASSOCIATION (ADA) DataSet - 2010
MORTGAGE LOANS DEFAULT CHART OF TURKEY
This a abridged Sample Report of Defaulted Mortgage Loans for the 12 NUTS Sectors and 81 cities of Turkey with 2012-2014 time span
Covers only Whole Turkey and West Anatolia Region
Real Report covers all the 12 NUTS Regions and 81 Cities of Turkey with 2010-2015 time span
NUTS AND SECTORAL LOANS DEFAULT CHART OF TURKEY: Graphical Data-Mining Analys...Fatma ÇINAR
Graphical DataMining Analysis with R Software
We aim to decipher this complexity of datasets With advanced graphical packages of R software
Our Technique is Graphical Datamining
To Analyse various credit and financial situation of EnergyLoans and EnergyLoanDefaults of some of the cities and regions of Turkey.
Our Dataset will be FINTURK of BRSA
Visualization of multidimensional multi factorial big data is not large data, big data is complex data.We are trainnig decipher this complexcity data Visualization.
Data Visualization packages of R software lattice and ggplot 2.
Graphical Data-Mining Analysis With R Software
Veri Görselleştirme ve Grafik DataminingFatma ÇINAR
«Veri Görselleştirme» günümüzde popüler bir Enformatik Tekniği.
Bunun için satın alınabilecek çok sayıda yazılım var.
Bunlar size bir veri kütlesini etkileyici ve çarpıcı bir şekilde sunabilirler.
Buna karşılık bu yazılımlar veri kütleleri içindeki gizli anlam ve ilişkileri açığa çıkarmaz.
Levi̇nson Ölçeği̇ ve Yaratıcı – Önder Yöneti̇ci̇li̇kFatma ÇINAR
Yöneticilik açısından yaratıcılık ve önderlik arasındaki ilişkiler, çevrelerinde yaratıcı ve önder yöneticiler olarak tanınmış yöneticilerin düşünce ve davranış şekillerini belirlemeyi amaçlayan ve sonuçları yayımlanmış bir araştırmada ölçeklenmiş bir biçimde ortaya konmaktadır.(*) Bu araştırmanın sonuçları bilimde ve çocukta yaratıcılığı inceleyen araştırmalarla ile yüksek derecede bir tutarlılık sergilemektedir.
Başarı başarının yakıtı olur;
Başarı ne olursa olsun yarattığı öz güven aynıdır.
Her başarı daha sonraki başarıların yakıtını oluşturur.
Başarısızlıklar konusunda esef etmek yerine başarıları aktifleştirmenin yolları aranmalıdır.
Gitmek istediğiniz yönde iseniz fırsatlar önünüze gelir.
Gelecek başının çaresine bakar
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
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We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Popular, influential but flawed:TEST OF THE CREDIBILITY OF GLOBAL REPORTS and INDICES
1. Popular, influential but flawed:
TEST OF THE CREDIBILITY OF
GLOBAL REPORTS and INDICES
Assoc. Prof. Dr. Kutlu MERİH DataLabTR
kutlu.merih@datalabtr.com, kutmerih@gmail.com
Assoc. Prof. Dr. C. Coskun KÜÇÜKÖZMEN İzmir University of Economics
coskun.kucukozmen@ieu.edu.tr
Fatma ÇINAR Mba, Capital Market Board of Turkey,
fatma.cinar@spk.gov.tr
2. Trend of Reporting and Indexing
A new trend during the
last two decades in the
global system has been
the release of some
reports and related
indices based on socio-
political and economic
issues of respective
countries.
These studies are
considered and carried
out by eminent global
institutions.
3. Indices Effects Global Flows
This is not merely
a simple
intellectual
consideration of
the issue.
Based on the
rankings of these
reports and
indices, countries
receive more or
less foreign
investment or
become subjected
to more or less
interest rates in
terms of spread.
Hence, it will not be an
exaggeration to define
these reports and
indices as well- masked
global manipulation
tools.
4. Many sources introducing those
indices ignore the technical
infrastructure and reinforce the
belief that they are based on
sound scientific basis.
Unfortunately, the truth is not
so.
Reports and Indices Are not Consistent
The majority of the indices are
bounded with logical and
mathematical errors.
On the other hand, the
eminence of the global
organizations which provide
those indices shadows the
inconsistencies found in indices.
5. Flaws of These Reports and Indices
In these indices produced by preeminent providers, some or all
of the following four basic errors can be observed are;
Ethical (deontological) Error: It is unethical to define such an
index (HDI)
Logical (epistemological) Error: It is irrelevant/ meaningless/vain to
define such an index (HDI)
Technical (Mathematics) Error: The index calculation technique is incorrect and inconsistent. (HDI)
Informatics (Statistics) Error: The index is based on incomplete, inadequate and inconsistent data source. (HDI)
6. HDI Suffers Those Four
Errors
As an Example, "Human
Development Index - HDI"
Developed By UNDP Exhibit
Those Four Errors.
Using these indices as an
input to one another in
critical analysis makes
prescription more difficult.
7. Here too we come across with an illusion technique that
is used to create a perception:
Indices Creates The Consistency Illusion
These indices are based on a seemingly comprehensive and
robust report.
However, on the contrary to the findings mentioned in the
reports, these indices are full of errors.
We try to describe why those indices are defective and
why they lead problematic misconceptions
8. Human Development Index (HDI)
Human Development Index is a measure prepared by the
UNDP that shows life expectancy literacy rate education
and income per capita in countries all over the world.
This index indicates how developed or
underdeveloped a country is claimed in
relation to this index.
9. The world authorities accept it without
any dispute or objection.
Distribution was initially
developed by a
Pakistani economist
MahbubulHaq in 1990
and since 1993, it has
been presented within
the annual
Development Report by
UN Development
Program.
Human Development Index (HDI)
11. HDI Made Up Inadequate Criteria
It is obvious that labelling
‘Humanitarian Development’ as
being based on the three
conventional criteria is
inadequate.
Thus, disregarding major differences
between countries concerning
history, geography, culture, political
system, economic system, legal
system, health system, education
system and the status of women will
take us nowhere.
Unfortunately, this issue has not
been pointed out by anyone in
our country.
Relatively, only a small
number of global critics
have pointed it out this
issue.
12. It is obvious that labelling ‘Humanitarian Development’
as being based on the three conventional criteria is
inadequate.
Thus, disregarding major differences between countries
concerning history, geography, culture, political system,
economic system, legal system, health system,
education system and the status of women will take us
nowhere.
Unfortunately, this issue has not been pointed out by
anyone in our country.
Relatively, only a small number of global critics have
pointed it out this issue.
HDI Made Up Inadequate Criteria
13. Human Development Report 2014
The Human Development Report Office (HDRO)
is pleased to inform that the 2014 Human
Development Report 'Sustaining Human
Progress: Reducing Vulnerability and Building
Resilience' was launched in Tokyo, on 24 July
2014. The 2014
Report highlights the need for both promoting
people's choices and protecting human
development achievements.
14. The HDI is The Geometric Mean Of 3
Other Normalized Indices
The Human Development Index (HDI) is a
summary measure of average achievement in
key dimensions of human development:
1. A long and healthy life, (LifeExpectancy)
2. Being knowledgeable (MeanSchooling)
3. Have a decent standard of living (GNI ppp)
The HDI is the geometric mean of normalized
indices for each of the three (3) dimensions.
19. Gender Inequality Index (GII)
Gender Inequality was not on the agenda within the limits of
the original version of this index.
However, the political and economic situation of the female
gender should have been shown as a significant indicator
of human development.
The deficit in the findings was detected and consequently,
in 2010, GII index was added.
Structurally, it is compatible with the HDI and assumed to
reflect the disparity within the three criteria.
20. New Indices GDI and GEM
On the other hand, the
relation of this metrics with
gender inequality is quite
dubious.
The three ordinary criteria
which vary from country to
country are maternal health,
political and economic
contributions.
UNDP created other gender
indices such as the GDI and
GEM to cover the issue.
However, each of the indices
is insignificant.
21. Debates on
Indices Gradually, as these measures
(the GDI and the GEM) have
been applied year after year,
a debate on whether or not
they have been as influential
in promoting gender-sensitive
development as was
estimated initially arose.
Some of the major
criticisms on both
measures include the
following points: First,
they are highly
specialized and difficult
to interpret.
Consequently, they are,
often misinterpreted.
22. Debates on Indices
Both of them suffer from large data
gaps. In other words, they do not
provide accurate comparisons across
countries.
Second, too many developmental
factors have been integrated into a
single measure.
23. Graphical Datamining Analysis of HDI
The criteria which made up the structure of HDI
are mentally inconsistent.
But they are analytically inconsistent as well
Each component index should contribute
meaningful effect on the structure of the HDI
Graphical Datamining Analysis reflects that they
are fail to do this.
25. LifeExpectancy DensityGraph Factorized with
Segments
We can see that there is no clear distinctions among
segments related with LifeExpectancy. Higher segments
represents peaks around higher LifeExpectancies
28. MeanSchooling DensityGraph
Factorized with Segments
We can see that there is no clear distinctions among
segments related with MeanSchooling. Higher segments
represents peaks around higher MeanSchoolings
32. Indices Overdependent on Income
As a result, if these indices fall short, then we can estimate
that the figures might hide more than they reveal.
Additionally, the GEM has also been criticized for being
far too dependent on the income component of the
measure for determining the overall GEM score and this is
an overall defect of all UNDP indices.
37. Women Seats with Segments
We can see that there is no clear distinctions among
segments related with Women Seats. Here higher
segments doesn’t represents peaks around higher
Parliament Seats
39. First published by the World Economic Forum in 2006, the 2014
report covers 142 major and emerging economies.
The Global Gender Gap Index is an index produced in addition to
the proposed metric and report based on gender equality.
14 variables used to calculate the index are provided by
international organizations such as ILO, UNDP and WHO. Hence,
resources and technical deficiencies are also being imported.
However, global community considers the findings significant as if
being published via serious indices.
Global Gendergap By Wef
41. Its structure is similar to the
UNDP Gender Inequality
Index (GDII).
It indicates the situation of
women in 142 countries
which represents 93% of
the world population with
respect to four aspects.
1. Economic
participation and
facilities
2. Utilizing educational
facilities
3. Participation in the
political system
4. Health and survival
Gendergap Structure
42. Source inconsistencies
When the 2014 report is analysed with respect to ranking
index, it can be observed that even the countries which
cannot provide the required Data/ statistics, are ranked
ahead of Turkey. Turkey is Ranked # 125 among 142
countries.
It is important to note that the ratio of female ranking
with respect to professions have not been taken into
account.
43.
44. Conclusion
It is quite clear that those
indices fail to serve their
purposes.
They are semantically wrong,
mathematically wrong and
their data resources are
insufficient.
But they still serve to discredit
some countries like Turkey.
These indices and similar ones
are implicitly employed in the
sovereign ratings of countries.
The issue affects the
behaviour of foreign investors
and funding rates interest
rates.
We think this is quite unfair.
46. Küçüközmen, C. C. and Çınar F., (2014). “New Sectoral Incentive System and Credit Defaults: Graphic-
Data Mining Analysis”, Submitted to the ICEF 2014 Conference, Yıldız Technical University in İstanbul, Turkey
on 08-09 Sep. 2014.
Küçüközmen, C. C. and Çınar F., (2014). “Banking Sector Analysis of Izmir Province: A Graphical Data
Mining Approach”, Submitted to the 34th National Conference for Operations Research and Industrial
Engineering (YAEM 2014), Görükle Campus of Uludağ University in Bursa, Turkey on 25-27 June 2014.
Küçüközmen, C. C. ve Çınar F., (2014). “Finansal Karar Süreçlerinde Grafik-Datamining Analizi”,
TROUGBI/DW SIG, Nisan 2014 İstanbul, http://www.troug.org/?p=684
Küçüközmen, C. C. ve Çınar F., (2014). “Görsel Veri Analizinde Devrim” Söyleşi, Ekonomik Çözüm, Temmuz
2014, http://ekonomik-cozum.com.tr/gorsel-veri-analizinde-devrim-mi.html.
Küçüközmen, C. C. ve Merih K., (2014). “Görsel Teknikler Çağı" Söyleşi, Ekonomik Çözüm, Temmuz 2014,
http://ekonomik-cozum.com.tr/gorsel-teknikler-cagi.html
"Economist Online: Performance indices - International comparisons are popular, influential and
sometimes flawed". http://www.economist.com Retrieved 2014-11-16.
RESOURCES
47. Global Indices of Gender Inequality
and Turkey’s Positions
INDEX KOD INSTITUTION #TR
Human Development Index HDRI UNDP 69/187
GenderInequality Index GII UNDP 114/187
TheGender Empowerment
Measure
GEM UNDP 2014 removed
Global Gendergap Index GGI WEF 125/142