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Army of God Rising: Igniting Passion to Engage Society and Shift Culture

為了解決Alarm的問題，作者Cowart, Mark 這樣論述：

Take Back What the Devil Has Stolen!It’s a critical and pivotal moment in America with ominous signs all around. Most Christians firmly agree the nation is on a dangerous trajectory.Pastor Mark Cowart puts the blame--and the solution--for our nation’s ills squarely on the Church. The lukewarm Chu

rch has been the nation’s greatest threat, causing this city on a hill to hide its light and fall asleep under a blanket of cultural darkness. But there is hope! The alarm has sounded, and God is awakening His people. An army is rising to engage culture and transform society. Are you in their ranks?

In Army of God Rising, Pastor Mark lays out a strategy for how you can join the battle, fight with valor, and emerge victorious.Learn to...Recognize the end-time season we’re inUnderstand the authority and power of the ChurchWake up the mighty men of the ChurchSeek God’s direction to repair what’s b

rokenAchieve victory as ordinary people following an extraordinary GodTake your place in God’s end-time army and reclaim the ground the devil has stolen!

Alarm進入發燒排行的影片

資訊安全事件管理平台的自動化聯合防護阻擋機制之研究

為了解決Alarm的問題，作者劉鍵毅 這樣論述：

隨著台灣資通安全意識提升，國內許多企業、法人或公務機關，逐漸重視資訊安全的防護，導入資訊安全事件管理平台，使網路活動及日誌可視化，並集中於同一平台上，讓資安管理人員能直接在SIEM平台上直接看見許多設備的日誌，平時除了能主動查找異常日誌外，也能被動地建立規則條件及門檻值（Threshold）使日誌被規則關聯。在有了告警功能後，管理者便可以一目了然的看見告警的原因，再經由人工判斷，判斷是否需要將該事件的IP新增到具有阻擋功能之設備進行阻擋，或向具阻擋功能之資安設備管理者申請阻擋。本研究將實作開發自動化聯防阻擋程式，並在資訊安全事件管理平台上建立相關規則，並利用模擬真實事件發生時的日誌，在資訊安

全事件管理平台上模擬出設備日誌，將資訊安全事件管理平台所觸發相關規則之事件IP，透過自動化阻擋程式，將IP送至入侵偵測防禦系統（Intrusion Prevention System, IPS）黑名單進行阻擋，以符合自動化阻擋機制，並將阻擋程式之日誌送至SIEM進行監控，最後將整體機制呈現於結果。

Digital Madness: How Big Tech Is Driving Our Mental Health Pandemic--And the Ancient Prescription for Sanity

為了解決Alarm的問題，作者Kardaras, Nicholas 這樣論述：

From the author of the provocative and influential Glow Kids, Digital Madness explores how we’ve become mad for our devices as our devices are driving us mad, as revolutionary research reveals technology’s damaging effect on mental illness and suicide rates--and offers a way out.Dr. Nicholas Kard

aras is at the forefront of psychologists sounding the alarm about the impact of excessive technology on younger brains. In Glow Kids, he described what screen time does to children, calling it ＂digital heroin＂. Now, in Digital Madness, Dr. Kardaras turns his attention to our teens and young adults

and looks at the mental health impact of tech addiction and corrosive social media. In Digital Madness, Dr. Kardaras answers the question of why young people’s mental health is deteriorating as we become a more technologically advanced society. While enthralled with shiny devices and immersed in Ins

tagram, TikTok, Twitter, Facebook and Snapchat, our young people are struggling with record rates of depression, loneliness, anxiety, overdoses and suicide. What’s driving this mental health epidemic? Our immersion in toxic social media has created polarizing extremes of emotion and addictive depend

ency, while also acting as a toxic digital social contagion＂, spreading a variety of psychiatric disorders. The algorithm-fueled polarity of social media also shapes the brain’s architecture into inherently pathological and reactive black and white thinking--toxic for politics and society, but also

symptomatic of several mental disorders. Digital Madness also examines how the profit-driven titans of Big Tech have created our unhealthy tech-dependent lifestyle: sedentary, screen-staring, addicted, depressed, isolated and empty--all in the pursuit of increased engagement, data mining and monetiz

ation. But there is a solution. Dr. Kardaras offers a path out of our crisis, using examples from classical philosophy that encourage resilience, critical thinking and the pursuit of sanity-sustaining purpose in people’s lives. Digital Madness is a crucial book for parents, educators, therapists, pu

blic health professionals, and policymakers who are searching for ways to restore our young people’s mental and physical health.

智慧心律系統研發:以渾沌積分映射系統為基礎之心律不整檢測系統

為了解決Alarm的問題，作者林昱成 這樣論述：

摘要 iABSTRACT ii誌 謝 ivContents vList of Tables viiList of Figures ixChapter 1 Introduction 11.1 Motivation 11.2 Background 11.3 Contributions 61.4 Organization of the Thesis 7Chapter 2 Experiment I - Smart Detection Method for Personal ECG Monitoring 82.1 The Experiment Data Source & Dat

a Processing 92.1.1 The Experiment Data Source 92.1.2 Data Processing 102.1.3 Chaotic-Mapping Integral Network 112.2 Extract Characteristics 142.2.1 Feature Extraction (Euclidean Distance Feature Value) 142.2.2 Feature Extraction (Central Point Distribution) 142.3 Classification 152.3.1 Expe

rimental results-detection of ECG states via method I 162.3.2 Experimental results-detection of ECG states via method II 18Chapter 3 Experiment II- Smart Real-Time Monitoring System for Arrhythmia 233.1 The Experiment Data Source & Data Processing 253.1.1 The Experiment Data Source 253.1.2 Data

Processing 273.2 Double Chaotic-Mapping Integral Network 333.3 Extract Characteristics 373.3.1 Feature Extraction (Euclidean Distance Feature Value) 373.3.2 Feature Extraction (Central Point Distribution Feature Value) 383.4 Classification 383.4.1 Experimental results-detection of ECG states

via method I 403.4.2 Experimental results-detection of ECG states via method II 45Chapter 4 Conclusions and Future Work 524.1 Conclusions 524.2 Future Work 52Reference 54