医药学专业自我介绍(精选多篇)-美获啦文库

第一篇：医药学专业毕业生的自我鉴定

好范文为大家整理了以下这一份关于医药学专业毕业生的自我鉴定范文，仅供广大毕业生前来参考一下。

由于经过一个学期的学习，我知道了医学理论学作为医学与理论学相交叉的边缘学科，其宗旨在于提高学生的医学人文素质和综合职业素质，再加上后来的实践活动使理论更加与实际的紧密联系，令我认为学习医学理论学成为医学生一门必须学习的课程。

在“药学中西、医学济世”八字校风的鞭策下，我努力学习，刻苦钻研、勇于进取，时刻向“将自己培养成为具备高综合素质的临床药学毕业生”的目标奋进。我还获得了学校三好学生和二等奖学金等重要奖项。学习当中我深深的体会到，我们以履行公民义务为光荣，本着社会共济、关爱他人的精神，用爱心共同托起生命的希望。血液是生命的源泉，爱是生命的曙光。生命之源联系着你、我、他，我们的爱心是无限的。

所以在有限的学习期间，我在学校形成尊重劳动、尊重知识，培养德、智、体、美全面发展的高素质学生，注重学术的理念：崇尚学术，营造发扬学术民主和学术自由、重视学术成就的浓郁学术氛围。只有坚持这种理念，才能不断取得科学研究的丰硕成果，才能不断提高自身的学术水平和知识质量，知识创新和文化传播等做出应有贡献。

花蕾要绽放，不是在温室，而是在肥沃的土壤上吸收天地日月精华，经受风霜雨雪考验。我要成才，我必须在广阔天地里自我历练，真正在熟悉自我、完善自我、熟悉社会、服务社会的社会实践中成长为社会英才。只有熟悉了自我，完善了自我，才能更好地熟悉社会，服务社会;只有在熟悉社会、服务社会的过程里才能更好地熟悉自我、完善自我。

在往后的学习中，我会更加努力，我会牢记着医学生的誓词：我自愿献身医药学，热爱祖国，忠于人民，恪守药德，尊师守纪，刻苦钻研，孜孜不倦，精益求精，面发展。我决心竭尽全力除人类之病痛，助健康之完美，维护医术的圣洁和荣誉，救死扶伤，不辞艰辛，执着追求，为祖国医药卫生事业的发展和人类身心健康奋斗终生。

第二篇：医药学学生学习的自我鉴定

下面就一起来欣赏以下这一份关于医药学专业学习的自我鉴定范文，欢迎大家浏览。

第三篇：医药学本科毕业生的自我评价

下面就一起来欣赏以下这一份关于医药学本科毕业生的优秀自我评价范文，欢迎广大毕业生浏览。

蓦然回首四年大学生活，当年单纯懵懂的少年已成成熟稳重之人，使我有此巨变的正是那段不凡的人生经历以及其对梦想坚持不懈的努力。

本人努力学习，刻苦钻研、勇于进取。在四年里，曾当任过班长、学生会学习部部委、学生社团联合会文化部部长等校内重要学生干部，曾多次参加过大量的校内外的活动，由于成绩突出，本人还获得了学校三好学生和二等奖学金等重要奖项。尊敬老师，团结同学，在校内拥有广泛的群众基础。

在兼顾学业的前提下，还不忘对自身能力的培养，积极参加各种校内校外的培训，拓宽了眼界的同时，积累了大量的社会实践经验，使德智体得到全面的发展。在实习期间，持着主动求学的学习态度，我积极向带教老师学习，秉着“健康所系性命相托”的信念，孜孜不倦地吸收医药学知识，为日后的学习、工作打下坚实的基础。由于工作认真，表现出色，得到科室的一致好评。

我将在以后的工作和学习中更加努力，不断充实自我、完善自我，刻苦钻研，孜孜不倦，精益求精，竭尽全力除人类之病痛，为祖国医药卫生事业的发展和人类身心健康奋斗终生。

第四篇：英语医药学专业

1. introduction to quantitative risk assessment

risk analysis is a valuable tool in the management of

microbial food safety issues and can provide a systematic

approach for the regulatory authorities and the food industry

to control the risk posed by a pathogen in a particular

food commodity. risk analysis consists of three elements:

risk assessment, risk management and risk communication.

risk assessment is the scientific part of the process in which

the hazards are identified and the risk posed by that particular

hazard (i.e. pathogen) is calculated. the principles of

risk assessment including the four stages involved (hazard

identification, exposure assessment, hazard characterisation

and risk characterisation) are outlined by the codex

alimentarius commission (codex, 1999).

each of the stages is summarised below.

1.1. hazard identification

a hazard is defined as an agent having an adverse effect

on the public health of the human population and may

pose a short term, chronic, or fatal risk to a person. the

identification of microbial hazard associated with a particular

food is generally based on information generated from

routine microbial analysis of the commodity or from an

epidemiological linkage of a particular pathogen with a

case of food borne infection.

1.2. exposure assessment

exposure assessment is a quantitative estimation of the

presence of a contaminant in a serving of food at the time

of consumption, or as close to this stage as is scientifically

possible and practical. however, the final estimation of the numbers and prevalence of a pathogen in the food is of ten

based on an accumulation of data on the prevalence and

numbers of pathogen at key points in the food chain with

data included on how particular stages in the food chain

affect the numbers/prevalence of the pathogen. the final

step in the process estimates the amount of contaminant

in a single serving, with information on the typical amount

of food consumed in a serving procured from nutritional

databases.

the exposure assessment model can be ‘deterministic’,

i.e. derived using single data points along the food chain.

however, this approach may result in outlier values being

ignored and thus under or overestimating the risk. a more

common approach is to use a probablistic or stochastic

analysis, in which a distribution curve representing all data

is used as opposed to a single point estimate. typically a

monte carlo analysis is used to include data from all the

distributions along the chain and is done using software

such as @risk (palisade, ny, usa). in these analyses, a

single data point is chosen at random from each distribution

curve and used to calculate an outcome. the process

is repeated several thousand times (multiple iterations) with

a different data point in each distribution chosen each time

and with the final output being based on all the iterations.

the error in the predicted risk may be due to variability or

uncertainty, and there is increasing emphasis being placed

on quantifying and separating the impact of both uncertainty

and variability in risk assessments (cohen, lampson,

& bowers, 1996; pouillot, beaudeau, denis, &

derouin, 2014).

1.3. hazard characterisation

hazard characterisation relates exposure to a hazard

with the probable public health outcome (illness/death). a

dose–response relationship can be used to estimate the

amount (number) of pathogens which causes illness. the

data used in generating dose–response models are derived

from a variety of sources including human clinical trials,

epidemiological studies based on food poisoning outbreaks,

animal clinic(更多精彩内容请访问首页：wWw.)al trials, in vitro studies using cell lines,

biomarkers or expert opinion. in some cases, the dose–

responses will describe the susceptibility of different populations,

i.e. general population and immunocompromised.

1.4. risk characterisation

the final stage in the process estimates the adverse

public health effect, or risk as a consequence of exposure

to the hazard. this may be a prediction of illness per typical

serving or calculated as an annual risk of illness.

depending on the hazard characterisation data available,

the risk estimates may be broken down into age categories,

based on differences in immune status in order to

identify groups which may be at higher risk following

exposure to the contaminant. the risk characterisation

model is generally developed using commercial software such as @risk or crystal ball (decisioneering inc., denver,

usa). these programs can separate the distribution

for the overall risk prediction into uncertainty and variability

to allow more complex risk estimation and analyses

of the data. the generated model can be used to assess

which parts of the chain significantly affect risk or to

assess the changes in predicted illness by incorporation

of a new hypothetical risk mitigation strategy at a particular

point in the chain.

this paper reviews escherichia coli o157:h7 in the farm

to fork beef chain and examines how quantitative risk

assessment models have been applied to establish and manage

the risk posed. while other serovars of verocytotoxigenic

e. coli (including e. coli o26, o111, o103, o145)

are now emerging as a cause of similar illness to e. coli

o157:h7 they are not addressed in this paper as there is

still limited information on their transmission thorough

the beef chain and they have not been included in any published

quantitative risk assessment models.

2. e. coli o157:h7: human clinical aspects

e. coli o157 is a member of the enterhaemorrhagic

group of e. coli (ehec) and was first implicated in infectious

disease in the early 1980s (riley et al., 1983). the

symptoms of infection include bloody diarrhoea and severe

abdominal pain. haemolytic uraemic syndrome (hus), a

cause of acute renal failure, may be a complication of the

illness, and neurological problems in the form of thrombotic

thrombocytopaenic purpura (ttp) may also occur.

immuno-compromised patients, including young children

and the elderly, are at particular risk of developing hus.

the time from exposure to onset of symptoms ranges from

1 to 14 days (coia, 1998). however, with complications the

illness may last many months and lead to permanent damage

or even death. pathogenicity is related to the ability of

the organism to adhere to and colonise the human large

intestinal epithelial tissue, forming attachment and effacing

(ae) lesions and the production of verocytotoxins. the

e. coli verocytotoxins are closely related to the shiga toxin

of shigella dysenteriae and are typically bacteriophage

encoded. there are two main classes of verotoxin: vt1, a

homogeneous group of toxins, virtually identical to the

shiga toxin of shigella and vt2, a heterogeneous group

of toxins, more distantly related to the shiga toxin.

e. coli o157 with the eae gene and vt2 are most often

associated with hus in patients (werber et al., 2014).

outbreaks of vtec infections involving serovar o157

have now been reported from united states and canada

bell et al. (1994) (lisbea), asia (michino et al., 1998), australia

(desmarchelier, 1996), europe (tozzi, gorietti, &

caprioli, 2014), and africa (germani, soro, vohito,

morel, & morvan, 1997). however, the majority of cases

are sporadic and contribute significantly to overall cases

of infection. there is considerable variation in infection

rates between different geographical regions. in europe, the

highest rates of infection are in scotland with approximately 4 cases per 100,000 (scieh, 2014). in the republic of ireland

the incidence per 100,000 has ranged from a peak of

2.2 in 2014 to 1.3 in 2014 (hpsc, 2014). in northern europe

infection rates are very low ranging from 0.04 per

100,000 in norway and finland to 1.1 in denmark in

2014 although denmark has in 2014, reported its first general

outbreak of e. coli o157 attributed to contaminated

milk (jensen et al., 2014). in 2014, the incidence rate for

e. coli o157:h7 in north america was 0.9, a drop from

1.1 cases in 2014. in asia, japan has experienced the most

problems related to e. coli o157:h7 with an average incidence

rate of 2.74 per 100,000 between 1999 and 2014

(sakuma, urashima, & okabe, 2014). a number of sources

and reservoirs of e. coli o157 including beef and lamb,

lettuce, sprouts, fruit juices, vegetables, raw milk, water

have been implicated as vehicles of transmission (bell

et al., 1994; cowden, ahmed, donaghy, & riley, 2014;

hilborn et al., 2014; michino et al., 1999). person-to-person

is also an important mode of transmission, particularly

in day care centers (o’donnell et al., 2014) and direct contact

with animals carrying the organism or with faecally

contaminated mud (anon, 1999; crampin et al., 1999)

are also recognised sources of infection

第五篇：医药学名词

二、名词术语

医学及药学名词应使用全国自然科学名词审定委员会公布的规范名词（科学出版社出版）为准。

1.现将常易出错的不规范名词纠正如下（括号中为不规范名词）。

氨基酸转移酶（转氨酶）细胞（白血球）红细胞（红血球）

作用机制（机理）侧支循环（侧枝循环）综合征（综合症）

胆固醇（胆甾醇）单核－吞噬细胞系统（网状内系统）

低钾血症（低血钾症）高脂血症（高血脂症）内镜（内窥镜）

固醇（甾醇）发绀（紫绀）反胃（返胃）

分枝杆菌（分支杆菌）肺源性（肺原性）肺梗死（肺梗塞）

脑出血（脑溢血）脑梗死（脑梗塞）心肌梗死（心肌梗塞）

脑卒中（中风）放射性核素（同位素）功能（机能）

肝硬化（肝硬变）核糖体（核蛋白体）晶状体（晶体）

胶原纤维（胶元纤维）假膜（伪膜）咳痰（咯痰）

咯血（咳血）抗生素（抗菌素）磷脂酰胆碱（卵磷脂）

黏膜（粘膜）清蛋白（白蛋白）期前收缩（早博）

妊娠高血压综合征（妊娠中毒症）三酰甘油（甘油三脂）

肾衰竭（肾功能衰竭）食欲缺乏（食欲不振）食管（食道）

嗜酸（碱）性细胞（嗜酸（碱）性白细胞）同工酶（同功酶）

糖原（糖元）畏食（厌食）糖皮质激素（糖皮质类固醇）

围生期（围产期）下丘脑（丘脑下部）心排出量（心输出量）

心源性（心原性）血红蛋白（血色素）血流动力学（血液动力学）

药源性（药原性）医源性（医原性）真菌（霉菌）

原发性高血压（高血压）