Effect of Yogasana Training on Low Back Pain among College Playersiosrjce
The subjects of the study were 40 students from SGGS Khalsa College Mahilpur, District
Hoshiarpur, India and the subjects were divided into two groups. One control group and one experimental
group. Ayurvedic massage training for 3 month was assigned to experimental group (5 days a week) and control
group was not allowed to undergo any experimental treatment, but they are permitted to do their daily routine
work. From the selected subjects (N=40) pretest (initial) and post test (after training) was conducted on the
criterion measures (Sit and Reach Test, Trunk Extension Test, Bridge Up Test, Sit Up Test and assessment of
pain through visual analogue) at the start and the end of the experimental training programme. The data
pertaining to selected hematological variables were analyzed by t- ratio to determine the difference between
initial and final mean for control group and experimental group. The significant difference was seen at 0.05
level of confidence (0.05 = 4.096). The study concluded that there is a significant improvement in reducing the
low back pain due to Ayurvedic massage training programme
Effect of Yogasana Training on Low Back Pain among College Playersiosrjce
The subjects of the study were 40 students from SGGS Khalsa College Mahilpur, District
Hoshiarpur, India and the subjects were divided into two groups. One control group and one experimental
group. Ayurvedic massage training for 3 month was assigned to experimental group (5 days a week) and control
group was not allowed to undergo any experimental treatment, but they are permitted to do their daily routine
work. From the selected subjects (N=40) pretest (initial) and post test (after training) was conducted on the
criterion measures (Sit and Reach Test, Trunk Extension Test, Bridge Up Test, Sit Up Test and assessment of
pain through visual analogue) at the start and the end of the experimental training programme. The data
pertaining to selected hematological variables were analyzed by t- ratio to determine the difference between
initial and final mean for control group and experimental group. The significant difference was seen at 0.05
level of confidence (0.05 = 4.096). The study concluded that there is a significant improvement in reducing the
low back pain due to Ayurvedic massage training programme
Purchase the webinar here: http://www.multifamilyinsiders.com/craigslist
Download the slides here: http://www.multifamilyinsiders.com/apartment-forms/file/120-craigslist-masters-class
To Analyze the Use of Statistical Tool/S for Cost Effectiveness and Quality o...iosrjce
Companies can lose money because they fail to use significant opportunities to improve product
quality as well as product cost. In order to survive in a competitive market, reduce cost of product by improving
the quality and productivity of product is must for any company.
The objective of this study is to provide system/instructions and methodology to reduce cost of product by
implementing statistical tools in local plastic injection molding company. Injection molding Company deployed
some part of the “Seven Basic Tools” to improve the quality of the product used by our society and reduce cost
of the product. Companies may reluctant to their quality status and customer satisfactory status without
implementing any helping tool which may reduce cost by identifying and decreasing number of defects and
consequently improving product quality and productivity of the system/process. Statistical techniques like
“Seven Basic Statistical Tools” (SPC) provides a very valuable and cost effective way to meet these objectives.
The principle aim of this study is to train quality personnel that how to use these SPC tools and exploit these
data in Pareto analysis, control Chart, Cause & Effect Diagram and histogram analysis. The causes of nonconformity
and root causes of quality problems were specified and possible remedies were proposed to
organization to overcome their problems. Some significant Improvement was also observed after SPC
implementation in Process potential capability (Cp), Process Actual Capability (Cpk) and Defective parts per
million (DPM)
Every day, the Big Data phenomenon becomes more relevant in the computing area. An example of this is the massive amount of data generated by social media today. Along with this comes the problem of how to handle this large amount of data and, particularly, how to recognize the occurence of patterns in it. The latter is currently partially resolved thanks to the Data Stream Managenemt Systems (DSMS), which are the systems developed for querying massive flows of data. The issue with DSMS is that they do not work over a defined theoretical basis, but they are more focused on implementation. As consecuence, the given results are sometimes ambiguous and the systems are incomparable among each other. To solve this problem, in this work we propose a framework for DSMS. First, we propose a general query language which has the most common operators used by DSMS. Second, we define different query semantics based on the results expected by the DSMS users. Third, we propose an evaluation model of the queries based on Match Automata which will allow future analysis of this theoretical framework.
Terri Norvell: Average People SET Goals, Extraordinary People ACHIEVE Them!Multifamily Insiders
Terri Norvell leads a webinar on achieving your goals. You can view the webinar here: http://www.multifamilyinsiders.com/shop-multifamily/products/view/21
Produced by Multifamily Insiders and The Apartment All Stars
7.13.6 Руководство пользователя Altistart 48Igor Golovin
Руководство пользователя Altistart 48 - в данном документе найдете для себя всю необходимую информацию по вводу в эксплуатацию устройства плавного пуска низкого напряжения.
Purchase the webinar here: http://www.multifamilyinsiders.com/craigslist
Download the slides here: http://www.multifamilyinsiders.com/apartment-forms/file/120-craigslist-masters-class
To Analyze the Use of Statistical Tool/S for Cost Effectiveness and Quality o...iosrjce
Companies can lose money because they fail to use significant opportunities to improve product
quality as well as product cost. In order to survive in a competitive market, reduce cost of product by improving
the quality and productivity of product is must for any company.
The objective of this study is to provide system/instructions and methodology to reduce cost of product by
implementing statistical tools in local plastic injection molding company. Injection molding Company deployed
some part of the “Seven Basic Tools” to improve the quality of the product used by our society and reduce cost
of the product. Companies may reluctant to their quality status and customer satisfactory status without
implementing any helping tool which may reduce cost by identifying and decreasing number of defects and
consequently improving product quality and productivity of the system/process. Statistical techniques like
“Seven Basic Statistical Tools” (SPC) provides a very valuable and cost effective way to meet these objectives.
The principle aim of this study is to train quality personnel that how to use these SPC tools and exploit these
data in Pareto analysis, control Chart, Cause & Effect Diagram and histogram analysis. The causes of nonconformity
and root causes of quality problems were specified and possible remedies were proposed to
organization to overcome their problems. Some significant Improvement was also observed after SPC
implementation in Process potential capability (Cp), Process Actual Capability (Cpk) and Defective parts per
million (DPM)
Every day, the Big Data phenomenon becomes more relevant in the computing area. An example of this is the massive amount of data generated by social media today. Along with this comes the problem of how to handle this large amount of data and, particularly, how to recognize the occurence of patterns in it. The latter is currently partially resolved thanks to the Data Stream Managenemt Systems (DSMS), which are the systems developed for querying massive flows of data. The issue with DSMS is that they do not work over a defined theoretical basis, but they are more focused on implementation. As consecuence, the given results are sometimes ambiguous and the systems are incomparable among each other. To solve this problem, in this work we propose a framework for DSMS. First, we propose a general query language which has the most common operators used by DSMS. Second, we define different query semantics based on the results expected by the DSMS users. Third, we propose an evaluation model of the queries based on Match Automata which will allow future analysis of this theoretical framework.
Terri Norvell: Average People SET Goals, Extraordinary People ACHIEVE Them!Multifamily Insiders
Terri Norvell leads a webinar on achieving your goals. You can view the webinar here: http://www.multifamilyinsiders.com/shop-multifamily/products/view/21
Produced by Multifamily Insiders and The Apartment All Stars
7.13.6 Руководство пользователя Altistart 48Igor Golovin
Руководство пользователя Altistart 48 - в данном документе найдете для себя всю необходимую информацию по вводу в эксплуатацию устройства плавного пуска низкого напряжения.
1. Техническая и нормативная документация для производств по ремонту локомотивов ТГМ-4 и
ТГМ-6
Обозначение Название ЦенаЕдиницы
Устройство и ремонт тепловозов
Руководство по техническому обслуживанию и текущему ремонту тепловозов
ТГМ4 и ТГМ4А.
Руководство по техническому обслуживанию и текущему ремонту тепловозов
ТГМ6 и ТГМ6А.
Тепловозы ТГМ4 и ТГМ4А. Руководство по эксплуатации и обслуживанию
Технологическая инструкция на теническое обслуживание ТО-1, ТО-2, ТО-3 и
текущий ремонт ТР-1 тепловозов ТГМ4 и ТГМ4А
№АН-24-Р Инструкция по движению поездов и маневровой работе на промышленном
железнодорожном транспорте.
№АН-23-Р Инструкция по сигнализации на промышленном железнодорожном
транспорте.
ЦТт-18/3 Инструкция по ультразвуковому контролю деталей локомотивов и вагонов
электропоездов на базе программируемого дефектоскопа УД2-102
РД 32.76-97 Метрологическое обеспечение. Организация и порядок проведения поверки,
ремонта, метрологического контроля и списания средств измерений.
№АН-22-Р Правила технической эксплуатации промышленного железнодорожного
транспорта.
АН-25-Р Технология безопасной эксплуатации и ремонта подвижного состава
промышленного железнодорожного транспорта
Образец: Технологическая карта смазки тепловоза ТГМ-4
Образец: Технологическая карта смазки тепловоза ТГМ-6
Образец. ТИ: проверка и подготовка тепловозов локомотивной бригадой перед
постановкой на техническое обслуживание и текущий ремонт
Образец. ТИ:Процесс осмотра и проверки дизелей и вспомогательного
оборудования на техниче-ском обслуживании ТО-2, ТО-3.
Образец ТИ: Выполнение сварных швов. Дуговая резка. Контроль качества
сварных соединений.
Образец ТИ: Выполнение технического обслуживания ТО-2, ТО-3 и текущих
ремонтов ТР-1 и ТР-2.
Образец ТИ: Осмотр, проверка экипажной части тепловоза, ремонт рамы,
кузова и их составных частей на техническом обслуживании ТО-2, ТО-3 и
текущих ремонтах ТР-1 и ТР-2.
Образец ТИ: Осмотр и ремонт осевых редукторов, реактивных тяг и
карданных валов тепловозов на техническом обслуживании ТО-2, ТО-3 и
текущих ремонтах TP-1 и ТР-2.
Образец ТИ:Осмотр на техническом обслуживании гидропередачи.
Образец ТИ: Правила хранения и эксплуатации средств измерений
Образец ТИ: Приемка тепловозов после технического обслуживания ТО-3 и
текущих ремонтов ТР-1 и ТР-2.
Образец ТИ: Процесс разэкипировки тепловоза перед постановкой на
техническое обслуживание и текущий ремонт
Образец ТИ: Ремонта воздухоочистителей дизелей на текущих ремонтах ТР-1
и ТР-2.
Образец ТИ: Ремонт и испытание водяных насосов дизелей.
Образец ТИ:Ремонт и испытание воздухоохладителя дизелей на текущих
ремонтах ТР-1 и ТР-2.
Образец ТИ: Ремонт и испытания маслоохладителя при ТР-2.
Образец ТИ:Ремонт и испытания маслопрокачивающих насосов тепловозов
Образец ТИ:Ремонт приводов вспомогательного оборудования на текущих
ремонтах ТР-1 и ТР-2
Образец ТИ: Хранение и сушка электродов.
Оразец ТИ: Проверка и ремонт топливной аппаратуры дизелей на ТР-1.
ИТОГО (с уч. НДС): 8000 руб.