2023年9月13日星期三

cost- rib
-gram- record, write
acro- extrmities
rhexis - break, burst
carcin- cancer
-penia - decrease
gen- original production
burso- sac (a small, fluid-filled sac that acts as a cushion between a bone and other moving parts)
retr(o)- backwards
trip- rub, friction
strept- twist
-desis- binding, fixation
mani- madness, mental disturbance
glosso- tongue
-trophy - development growth
supra- above, over
-ptosis- falling, drooping
dyn - pain
mast- breast
-rrhaphy- suture
dent- teeth
cephal- head
auto- self
epi - upon, in addition to
hydro- water
lobo- section
-emesis - vomiting
contra- against
-iasis - condition, formation of, presence of
trans - through, across, beyond
brady- slow
-ectasis- expansion
cyt- cell
odont- tooth
leuk- white
-esthesia - sensation, feeling
cantho- angle at the end of the eyelid
sten- narrow, contracted
cheil- lip
-cele - hernia, tumor or swelling
benign - mild, not cancerous
semen -seed
celio- abdomen
erythro- red
vaso- vessel
melan- black
cauda- tail
lingua- tongue
myring- eardrum
spondyl- spinal column or vertebra椎骨

2023年9月6日星期三

Goals自我学习目标

优先学习项目

英文单词5万
Python语言，人工智能(AI, ML, DL, NN)
数学（高中+大学）
统计概率
医学相关（物理+生化+各种工程）
神经意识
建筑汽车航天军工等工程学
人文科学（经济历史哲学）

技能项目

写作
自媒体，视频，配音
卡车
烹饪
投资，管理，网店
贸易（中国经验，易店无忧）

https://www.ibm.com/blog/ai-vs-machine-learning-vs-deep-learning-vs-neural-networks/

AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

Artificial intelligence is the overarching system. Machine learning is a subset of AI. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms. It’s the number of node layers, or depth, of neural networks that distinguishes a single neural network from a deep learning algorithm, which must have more than three.

Medical Terminology 01

词根词缀（前缀后缀）

cardi- heart
megal- enlarged
itis --- inflammation
dermat- skin
plast- surgical repair, plastic repair
cerebr- brain
path- disease
-ectomy - surgical removal, all or part
enter- intestines, usually small
-osis --- condition
-otomy- cut into, incision into
aden- gland
angi- vessel (usually blood)
-oma- tumor
nephr- kidney
hepat- liver
arthr- joint
blephr- eyelid
-ologist ---specialist
rhin- nose
gingiv- gum
-malacia -soft condition
-ology - study of
spasm- involuntary contraction
-algia - pain, painful condition
crani- skull
end- inside, within
hemi- half
oid- like, resembling
hyper- above, more than normal
cyst- sac containing fluid
chole- bile
hypo- under, beneath, deficient
scop- look, observe
hyster- uterus, (womb)
-ostomy- create an opening
para- beside, beyond
-lysis ---loosening, destruction set free
cervic- neck
chondr- cartilage
cyan- blue
hem(at)- blood
ost- bone
psycho- mind
lip- fat
my- muscle
lith- stone
ophthalm-, opt- eye
proct- anus
gastr- stomach
cath- down, through. Catheters 导管

2023年9月5日星期二

Python Study - 01 - Basics

BigDL-LLM (https://github.com/intel-analytics/BigDL)

BigDL: A Distributed Deep Learning Framework for Big Data

LLM: Large Language Model

Pytorch https://pytorch.org/

Python Recursive Functions


def iterTest(low, high):
    while low < high:
        print (low)
        low+=1

# iterTest(1,8)
# iterTest(1,10)
def recurTest(low, high):
    if low < high:
        print(low)
        recurTest(low+1, high)

recurTest(1,8)

Generator Function
sample code

# *** Generator Function
def oddGen(n, m):
    while n < m:
        yield n
        n += 2


# Build a list a odd numbers between n and m
def oddLst(n, m):
    lst = []
    while n < m:
        lst.append(n)
        n += 2
    return lst


# the time to perform sum on iterator
t1 = time.time()
sum(oddGen(1, 10000000))
print("Time to sum an iterator: %f" % (time.time() - t1))

t1 = time.time()
sum(oddLst(1, 10000000))
print("time to sum a list: %f" % (time.time() - t1))
# The generator function (yield) is much faster than list operations.

Else
sample code

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WEIYUE.NET

2023年9月13日星期三

关于重型车辆执照申请

Getting a heavy vehicle licence

Heavy Vehicle Knowledge Test

2023年9月12日星期二

Medical Terminology 07

Medical Terminology 06

Medical Terminology 05

2023年9月11日星期一

Medical Terminology 04

Medical Terminology 04

Medical Terminology 03

Medical Terminology 03

2023年9月10日星期日

Medical Terminology 02

2023年9月6日星期三

Goals自我学习目标

AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

Medical Terminology 01

2023年9月5日星期二

Python Study - 01 - Basics

我的简介

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2023年9月13日星期三

Getting a heavy vehicle licence

Heavy Vehicle Knowledge Test

2023年9月12日星期二

2023年9月11日星期一

Medical Terminology 04

Medical Terminology 03

2023年9月10日星期日

2023年9月6日星期三

AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

2023年9月5日星期二

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