Practical use的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列推薦必買和特價產品懶人包

Therapeutic Interventions in Severe Mental Illness: A Guide for Acute Care Settings

為了解決Practical use的問題，作者Mathers, Billy 這樣論述：

Therapeutic interventions have been taught and well evaluated in community settings for many years but this has not been as well established in acute care. This practical book remedies this, outlining how to efficiently and effectively use therapeutic interventions in acute mental healthcare sett

ings within a recovery-focused framework. It focuses on helping those with severe and enduring mental health illnesses, such as schizophrenia and bipolar disorder and: 　Offers research-based strategies for therapeutic interventions and ward management in acute mental healthcare.Covers, amongst other

issues, evidence-based assessment, brief interventions with psychosis such as schizophrenia and bipolar disorder, medication management, co-morbidities, the stress vulnerability model, family interventions, and assessment, intervention and evaluation of the commonly encountered problems of depressi

on, self harming and suicide.Discusses aids and barriers to the use of therapeutic interventions in acute inpatient settings.Includes case studies, sample care plans, activities, learning outcome summaries and further reading.Designed for service users, carers, mental health nurses and nursing stude

nts, this text is particularly suitable for those learning about acute mental health problems and therapeutic interventions.

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區塊鏈技術在台灣二手車市場應用之實證研究

為了解決Practical use的問題，作者蘇祐 這樣論述：

近年來的二手車市場交易量皆比新車市場高的多，且每年逐漸上升，此市場日益壯大，價格機制卻還是相當混亂，相當不透明，故此本研究以改善台灣二手車市場資訊不對稱問題為發想，設計一套網頁系統，以以太坊區塊鏈為系統底層，且成立一個二手車聯盟來管理該系統，有意願加入此系統的車主需將車輛移至與聯盟配合之檢修場，在確認資料無誤後，聯盟會將該車輛的資料上傳至區塊鏈系統上，以供系統參與者查閱。 本研究透過設計區塊鏈系統進行實作實驗，依據區塊鏈的不可篡改性來用以改善台灣二手車市場資訊不對稱問題，並使用Node.js SDK工具提供網頁客戶端，模擬車輛資料上傳的流程，最後提出三項實驗數據以檢驗新的系統架構設計適確性

，以及檢驗資料的正確性。實驗結果顯示，本研究所提出之二手車區塊鏈系統確實可改善二手車市場資訊不對稱的問題，藉由區塊鏈的不可篡改性，讓資料上傳後就無法修改，就算覆蓋過去鏈上也都能查到相對的紀錄，確保鏈上資料的正確性，讓其餘參與者在系統上查閱時，能夠信任這份資料，進一步改善過去消費者只能以車主所提供之資料作為參考，讓二手車市場資訊更加透明，進一步提高消費者對市場的滿意度及忠誠度。

Hear Yourself: How to Find Peace in a Noisy World

為了解決Practical use的問題，作者Rawat, Prem 這樣論述：

New York Times Bestseller＂Rawat’s deep wisdom is a breath of fresh air; Hear Yourself gives the gift of peace and gratitude in a time we sorely need it.＂--Ian Morgan Cron, author of The Story of You and co-author of The Road Back to You＂Hear Yourself invites us to take a journey from the outside

world we live in everyday to the world of peace within us. I highly recommend this inspiring book to anyone ready to take that journey.＂--Bill McCarthy, Founder and President of The Unity FoundationThe renowned teacher and author of the internationally bestselling Peace Is Possible shows us how to q

uiet the noise of our busy lives to hear our own unique authentic voice--the source of peace.The cacophony of modern life can be deafening, leaving us feeling frazzled and uneasy. In this warm, wise book, Prem Rawat teaches us how to turn down the noise to ＂hear ourselves＂--to listen to the subtle s

ong of peace that sings inside each of us. Once we learn to truly ＂hear ourselves＂ and the voice of peace within, then we can hold on to that as we face all the noise of the world.The culmination of a lifetime of study, Hear Yourself lays out the crucial steps we can use to focus on the voice within

. Take a walk in nature and listen for the sounds of harmony, Prem Rawat suggests, or set aside a few minutes each day to feel gratitude, which comes from the core of our being. He challenges us to embrace our thirst for peace and let go of expectations for how it should feel. With one straightforwa

rd yet deeply profound question, he helps us to focus--to be present: Am I conscious of where I am today and what I want to experience in this world?＂ If we allow ourselves to listen, what we hear is the extraordinary miracle of existence--an experience that transforms our relationship to life and e

verything in it. Packed with powerful insights and compelling stories, Hear Yourself introduces readers to an ancient line of practical wisdom that enlightens us to a simple way to listen. By doing so, Prem Rawat reveals, we can ＂profoundly change our understanding of ourselves, those around us, and

our lives.＂

An Integrated Approach For Uncovering Novel DNA Methylation Biomarkers For Non-small Cell Lung Carcinoma

為了解決Practical use的問題，作者VAIBHAV KUMAR SUNKARIA 這樣論述：

Introduction - Lung cancer is one of primal and ubiquitous cause of cancer related fatalities in the world. Leading cause of these fatalities is non-small cell lung cancer (NSCLC) with a proportion of 85%. The major subtypes of NSCLC are Lung Adenocarcinoma (LUAD) and Lung Small Cell Carcinoma (LUS

C). Early-stage surgical detection and removal of tumor offers a favorable prognosis and better survival rates. However, a major portion of 75% subjects have stage III/IV at the time of diagnosis and despite advanced major developments in oncology survival rates remain poor. Carcinogens produce wide

spread DNA methylation changes within cells. These changes are characterized by globally hyper or hypo methylated regions around CpG islands, many of these changes occur early in tumorigenesis and are highly prevalent across a tumor type.Structure - This research work took advantage of publicly avai

lable methylation profiling resources and relevant comorbidities for lung cancer patients extracted from meta-analysis of scientific review and journal available at PubMed and CNKI search which were combined systematically to explore effective DNA methylation markers for NSCLC. We also tried to iden

tify common CpG loci between Caucasian, Black and Asian racial groups for identifying ubiquitous candidate genes thoroughly. Statistical analysis and GO ontology were also conducted to explore associated novel biomarkers. These novel findings could facilitate design of accurate diagnostic panel for

practical clinical relevance.Methodology - DNA methylation profiles were extracted from TCGA for 418 LUAD and 370 LUSC tissue samples from patients compared with 32 and 42 non-malignant ones respectively. Standard pipeline was conducted to discover significant differentially methylated sites as prim

ary biomarkers. Secondary biomarkers were extracted by incorporating genes associated with comorbidities from meta-analysis of research articles. Concordant candidates were utilized for NSCLC relevant biomarker candidates. Gene ontology annotations were used to calculate gene-pair distance matrix fo

r all candidate biomarkers. Clustering algorithms were utilized to categorize candidate genes into different functional groups using the gene distance matrix. There were 35 CpG loci identified by comparing TCGA training cohort with GEO testing cohort from these functional groups, and 4 gene-based pa

nel was devised after finding highly discriminatory diagnostic panel through combinatorial validation of each functional cluster.Results – To evaluate the gene panel for NSCLC, the methylation levels of SCT(Secritin), FOXD3(Forkhead Box D3), TRIM58(Tripartite Motif Containing 58) and TAC1(Tachikinin

1) were tested. Individually each gene showed significant methylation difference between LUAD and LUSC training cohort. Combined 4-gene panel AUC, sensitivity/specificity were evaluated with 0.9596, 90.43%/100% in LUAD; 0.949, 86.95%/98.21% in LUSC TCGA training cohort; 0.94, 85.92%/97.37 in GEO 66

836; 0.91,89.17%/100% in GEO 83842 smokers; 0.948, 91.67%/100% in GEO83842 non-smokers independent testing cohort. Our study validates SCT, FOXD3, TRIM58 and TAC1 based gene panel has great potential in early recognition of NSCLC undetermined lung nodules. The findings can yield universally accurate

and robust markers facilitating early diagnosis and rapid severity examination.