第一篇：醫藥學專業畢業生的自我鑑定
好範文為大家整理了以下這一份關於醫藥學專業畢業生的自我鑑定範文，僅供廣大畢業生前來參考一下。
由於經過一個學期的學習，我知道了醫學理論學作為醫學與理論學相交叉的邊緣學科，其宗旨在於提高學生的醫學人文素質和綜合職業素質，再加上後來的實踐活動使理論更加與實際的緊密聯絡，令我認為學習醫學理論學成為醫學生一門必須學習的課程。
在“藥學中西、醫學濟世”八字校風的鞭策下，我努力學習，刻苦鑽研、勇於進取，時刻向“將自己培養成為具備高綜合素質的臨床藥學畢業生”的目標奮進。我還獲得了學校三好學生和二等獎學金等重要獎項。學習當中我深深的體會到，我們以履行公民義務為光榮，本著社會共濟、關愛他人的精神，用愛心共同托起生命的希望。血液是生命的源泉，愛是生命的曙光。生命之源聯絡著你、我、他，我們的愛心是無限的。
所以在有限的學習期間，我在學校形成尊重勞動、尊重知識，培養德、智、體、美全面發展的高素質學生，注重學術的理念：崇尚學術，營造發揚學術民主和學術自由、重視學術成就的濃郁學術氛圍。只有堅持這種理念，才能不斷取得科學研究的豐碩成果，才能不斷提高自身的學術水平和知識質量，知識創新和文化傳播等做出應有貢獻。
花蕾要綻放，不是在溫室，而是在肥沃的土壤上吸收天地日月精華，經受風霜雨雪考驗。我要成才，我必須在廣闊天地裡自我歷練，真正在熟悉自我、完善自我、熟悉社會、服務社會的社會實踐中成長為社會英才。只有熟悉了自我，完善了自我，才能更好地熟悉社會，服務社會;只有在熟悉社會、服務社會的過程裡才能更好地熟悉自我、完善自我。
在往後的學習中，我會更加努力，我會牢記著醫學生的誓詞：我自願獻身醫藥學，熱愛祖國，忠於人民，恪守藥德，尊師守紀，刻苦鑽研，孜孜不倦，精益求精，面發展。我決心竭盡全力除人類之病痛，助健康之完美，維護醫術的聖潔和榮譽，救死扶傷，不辭艱辛，執著追求，為祖國醫藥衛生事業的發展和人類身心健康奮鬥終生。
第二篇：醫藥學學生學習的自我鑑定
下面就一起來欣賞以下這一份關於醫藥學專業學習的自我鑑定範文，歡迎大家瀏覽。
由於經過一個學期的學習，我知道了醫學理論學作為醫學與理論學相交叉的邊緣學科，其宗旨在於提高學生的醫學人文素質和綜合職業素質，再加上後來的實踐活動使理論更加與實際的緊密聯絡，令我認為學習醫學理論學成為醫學生一門必須學習的課程。
在“藥學中西、醫學濟世”八字校風的鞭策下，我努力學習，刻苦鑽研、勇於進取，時刻向“將自己培養成為具備高綜合素質的臨床藥學畢業生”的目標奮進。我還獲得了學校三好學生和二等獎學金等重要獎項。學習當中我深深的體會到，我們以履行公民義務為光榮，本著社會共濟、關愛他人的精神，用愛心共同托起生命的希望。血液是生命的源泉，愛是生命的曙光。生命之源聯絡著你、我、他，我們的愛心是無限的。
所以在有限的學習期間，我在學校形成尊重勞動、尊重知識，培養德、智、體、美全面發展的高素質學生，注重學術的理念：崇尚學術，營造發揚學術民主和學術自由、重視學術成就的濃郁學術氛圍。只有堅持這種理念，才能不斷取得科學研究的豐碩成果，才能不斷提高自身的學術水平和知識質量，知識創新和文化傳播等做出應有貢獻。
花蕾要綻放，不是在溫室，而是在肥沃的土壤上吸收天地日月精華，經受風霜雨雪考驗。我要成才，我必須在廣闊天地裡自我歷練，真正在熟悉自我、完善自我、熟悉社會、服務社會的社會實踐中成長為社會英才。只有熟悉了自我，完善了自我，才能更好地熟悉社會，服務社會;只有在熟悉社會、服務社會的過程裡才能更好地熟悉自我、完善自我。
在往後的學習中，我會更加努力，我會牢記著醫學生的誓詞：我自願獻身醫藥學，熱愛祖國，忠於人民，恪守藥德，尊師守紀，刻苦鑽研，孜孜不倦，精益求精，面發展。我決心竭盡全力除人類之病痛，助健康之完美，維護醫術的聖潔和榮譽，救死扶傷，不辭艱辛，執著追求，為祖國醫藥衛生事業的發展和人類身心健康奮鬥終生。
第三篇：醫藥學本科畢業生的自我評價
下面就一起來欣賞以下這一份關於醫藥學本科畢業生的優秀自我評價範文，歡迎廣大畢業生瀏覽。
驀然回首四年大學生活，當年單純懵懂的少年已成成熟穩重之人，使我有此鉅變的正是那段不凡的人生經歷以及其對夢想堅持不懈的努力。
本人努力學習，刻苦鑽研、勇於進取。在四年裡，曾當任過班長、學生會學習部部委、學生社團聯合會文化部部長等校內重要學生幹部，曾多次參加過大量的校內外的活動，由於成績突出，本人還獲得了學校三好學生和二等獎學金等重要獎項。尊敬老師，團結同學，在校內擁有廣泛的群眾基礎。
在兼顧學業的前提下，還不忘對自身能力的培養，積極參加各種校內校外的培訓，拓寬了眼界的同時，積累了大量的社會實踐經驗，使德智體得到全面的發展。在實習期間，持著主動求學的學習態度，我積極向帶教老師學習，秉著“健康所繫性命相托”的信念，孜孜不倦地吸收醫藥學知識，為日後的學習、工作打下堅實的基礎。由於工作認真，表現出色，得到科室的一致好評。
我將在以後的工作和學習中更加努力，不斷充實自我、完善自我，刻苦鑽研，孜孜不倦，精益求精，竭盡全力除人類之病痛，為祖國醫藥衛生事業的發展和人類身心健康奮鬥終生。
第四篇：英語醫藥學專業
1. introduction to quantitative risk assessment
2.
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(更多精彩內容請訪問首頁：)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：醫藥學名詞
二、名詞術語
醫學及藥學名詞應使用全國自然科學名詞審定委員會公佈的規範名詞（科學出版社出版）為準。
1.現將常易出錯的不規範名詞糾正如下（括號中為不規範名詞）。
氨基酸轉移酶（轉氨酶）細胞（白血球）紅細胞（紅血球）
作用機制（機理）側支迴圈（側枝迴圈）綜合徵（綜合症）
膽固醇（膽甾醇）單核－吞噬細胞系統（網狀內系統）
低鉀血癥（低血鉀症）高脂血症（高血脂症）內鏡（內窺鏡）
固醇（甾醇）發紺（紫紺）反胃（返胃）
分枝桿菌（分支桿菌）肺源性（肺原性）肺梗死（肺梗塞）
腦出血（腦溢血）腦梗死（腦梗塞）心肌梗死（心肌梗塞）
腦卒中（中風）放射性核素（同位素）功能（機能）
肝硬化（肝硬變）核糖體（核蛋白體）晶狀體（晶體）
膠原纖維（膠元纖維）假膜（偽膜）咳痰（咯痰）
咯血（咳血）抗生素（抗菌素）磷脂醯膽鹼（卵磷脂）
黏膜（粘膜）清蛋白（白蛋白）期前收縮（早博）
妊娠高血壓綜合徵（妊娠中毒症）三醯甘油（甘油三脂）
腎衰竭（腎功能衰竭）食慾缺乏（食慾不振）食管（食道）
嗜酸（鹼）性細胞（嗜酸（鹼）性白細胞）同工酶（同功酶）
糖原（糖元）畏食（厭食）糖皮質激素（糖皮質類固醇）
圍生期（圍產期）下丘腦（丘腦下部）心排出量（心輸出量）
心源性（心原性）血紅蛋白（血色素）血流動力學（血液動力學）
藥源性（藥原性）醫源性（醫原性）真菌（黴菌）
原發性高血壓（高血壓）