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4位
¥500
評価: 0.0
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楽天Kobo電子書籍ストア
＜p＞Artificial Intelligence in Drug Discovery for Bacterial Infections: Methodologies, Applications, and Future Directions presents a comprehensive discussion of how AI is transforming the process of seeking new antibacterial treatments. As antimicrobial resistance (AMR) climbs to critical worldwide levels of public health concern, conventional drug discovery strategies commonly lag behind rapidly mutating bacterial threats. This book fills that gap by offering state-of-the-art AI-based methods that speed up target identification, automate virtual screening, improve predictive modeling, and facilitate de novo molecular design.＜/p＞ ＜p＞Through straightforward descriptions and detailed chapters, readers are familiarized with the incorporation of omics data into AI models, predictive modeling of resistance strategies, and AI application in drug repurposing, stewardship, and infection control. Case studies serve to emphasize actual applications, while ethical, regulatory, and data considerations discussions prompt critical thinking on the potential as well as the constraints of AI utilization in biomedical research.＜/p＞ ＜p＞Written by microbiologist Saakshi Sharma, the book combines ideas from microbiology, computational biology, pharmacology, and artificial intelligence to offer a genuine interdisciplinary view. It has been crafted for researchers, students, and professionals in the life sciences, biotechnology, medicine, and data science who want to know how AI can revolutionize antibacterial discovery and public health.＜/p＞ ＜p＞By marrying scientific discipline with visionary perception, this book provides its readers with the expertise needed to value present developments and foresee future trends in AI-assisted antibacterial drug discoveryーa critical guide in the fight against superbugs and the ongoing worldwide AMR epidemic.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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3位
¥1,453
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楽天Kobo電子書籍ストア
＜p＞39種最珍貴的臺灣特有種淡水蟹，＜br /＞ 最驕傲的臺灣自然生態奇蹟。＜br /＞ ＜strong＞收?獨一無二的鑑別重點：交接器＜/strong＞＜/p＞ ＜p＞◎39種臺灣特有種淡水蟹，500幅生態圖：臺灣的淡水蟹已有紀?者39種，全是最珍貴的臺灣特有種。全球唯獨分布於臺灣。本書完整收?。搭配500幅精美生態圖片，翔實介紹淡水蟹雌雄及生態環境，更有珍貴之?卵和棲地介紹。＜/p＞ ＜p＞◎棲地為側邊索引，?找最順手：以棲地為鑑別索引，讓初學者能更容易找到淡水蟹物種。＜/p＞ ＜p＞◎隨身摺頁：收?39種淡水蟹之鑑別去背圖，並將鑑別重點同時標示，讓?到野外看得到，就能認得出來。＜/p＞ ＜p＞施志イン Shy, Jhy-Yun＜br /＞ 1962年出生於台北市。畢業於國立海洋大學漁業科學研究所博士班，現任國立澎湖科技大學水?養殖系教授。專攻台灣淡水魚、蝦、蟹分類、生態及繁殖，並長期參與民間及學術性田野調?。個人發表近二百篇通俗及學術性文章於國、?外刊物。＜/p＞ ＜p＞李伯? Lee, Pei-Wen (Kari)＜br /＞ 1964年出生於台北市。畢業於私立康寧醫護?管理專科學校。個人興趣廣泛，長期投入自然觀察並協助民間及學術性田野調?。個人著作散見於通俗性及學術性期刊雜誌。＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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2位
¥5,383
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楽天Kobo電子書籍ストア
＜p＞＜strong＞When Excel isn’t enough, it’s time to learn Python.＜/strong＞＜/p＞ ＜p＞If you’re comfortable in Excel, but you’ve hit a wallーslow files, broken formulas, hours spent on repetitive tasksーthis book offers a way forward. It shows you how to take the work you already do in spreadsheets and make it faster, smarter, and more powerful with Python.＜/p＞ ＜p＞You’ll start by setting up your environment and getting comfortable with Python through short, Excel-inspired exercises. From there, you’ll gradually move into writing scripts that automate manual work, structure your data, and generate consistent resultsーno prior programming knowledge required.＜/p＞ ＜p＞You’ll use your preexisting Excel skills to learn how to:＜/p＞ ＜ul＞ ＜li＞Translate spreadsheet logic into Python code＜/li＞ ＜li＞Use pandas to clean, reshape, and filter data＜/li＞ ＜li＞Automate reports you’d normally build by hand＜/li＞ ＜li＞Read and write Excel files directly from Python＜/li＞ ＜li＞Connect to databases and APIs＜/li＞ ＜li＞Create professional visualizations with Plotly and Dash＜/li＞ ＜li＞Organize code into sharable modules and write simple tests＜/li＞ ＜/ul＞ ＜p＞Throughout the book, you’ll find practical examples that show why and how to move your work out of spreadsheets and into scripts, and how to resolve issues along the way.＜/p＞ ＜p＞Author Tracy Stephens has extensive practical experience with both Excel and Python. Her approach is grounded in real workflows, and she introduces each concept through tasks you’ve likely handled in Excel.＜/p＞ ＜p＞This book won’t ask you to replace everything you do in spreadsheets, but it will help you use Python to work faster, more reliably, and with greater flexibility than you ever could with Excel.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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1位
¥7,663
評価: 0.0
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楽天Kobo電子書籍ストア
＜p＞＜em＞The SAS? Certified Specialist Prep Guide: Base Programming Using SAS? 9.4＜/em＞ prepares you to take the new SAS 9.4 Base Programming -- Performance-Based Exam. This is the official guide by the SAS Global Certification Program.＜/p＞ ＜p＞This prep guide is for both new and experienced SAS users, and it covers all the objectives that are tested on the exam.＜/p＞ ＜p＞New in this edition is a workbook whose sample scenarios require you to write code to solve problems and answer questions. Answers for the chapter quizzes and solutions for the sample scenarios in the workbook are included. You will also find links to exam objectives, practice exams, and other resources such as the Base SAS? glossary and a list of practice data sets. Major topics include importing data, creating and modifying SAS data sets, and identifying and correcting both data syntax and programming logic errors. All exam topics are covered in these chapters:＜/p＞ ＜ul＞ ＜li＞Setting Up Practice Data＜/li＞ ＜li＞Basic Concepts＜/li＞ ＜li＞Accessing Your Data＜/li＞ ＜li＞Creating SAS Data Sets＜/li＞ ＜li＞Identifying and Correcting SAS Language Errors＜/li＞ ＜li＞Creating Reports＜/li＞ ＜li＞Understanding DATA Step Processing＜/li＞ ＜li＞BY-Group Processing＜/li＞ ＜li＞Creating and Managing Variables＜/li＞ ＜li＞Combining SAS Data Sets＜/li＞ ＜li＞Processing Data with DO Loops＜/li＞ ＜li＞SAS Formats and Informats＜/li＞ ＜li＞SAS Date, Time, and Datetime Values＜/li＞ ＜li＞Using Functions to Manipulate Data＜/li＞ ＜li＞Producing Descriptive Statistics＜/li＞ ＜li＞Creating Output＜/li＞ ＜li＞Practice Programming Scenarios (Workbook)＜/li＞ ＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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