72 research outputs found
RESEARCHES IN ARTIFICIAL INFESTATION CONDITION AND STORAGE CONDITION OF SOME BEAN CULTIVARS AT BEAN WEEVIL DAMAGE, ACANTHOSCELIDES OBTECTUS SAY
Tests were made for finding possible resistant cultivars to the attack of bean weevil, Acanthoscelides obtectus Say., in storage condition. The infestation was made artifically in the laboratory condition. All the studied cultivars were attacked, but the attack was significantly different. These cultivars may be employed in the plant breeding activity
CONTROL OF THE COLEOPTERES IN STORED AGRICULTURAL PRODUCTS BY NOT-CHEMICAL METHODS
The actual chemical control of harmful species from Coleoprera Order is acceptable only in some and very limited situations, and inacceptable in the majority of cases. This, from the point of view of residual toxicity, in the present and future, the development of the not-chemical means of protection are strongly necessary. The paper presents a synthesis of present status of knowledge about these not-chemical means of agricultural stored products protection, and its perspective in the future
Probabilistic Bag-Of-Hyperlinks Model for Entity Linking
Many fundamental problems in natural language processing rely on determining
what entities appear in a given text. Commonly referenced as entity linking,
this step is a fundamental component of many NLP tasks such as text
understanding, automatic summarization, semantic search or machine translation.
Name ambiguity, word polysemy, context dependencies and a heavy-tailed
distribution of entities contribute to the complexity of this problem.
We here propose a probabilistic approach that makes use of an effective
graphical model to perform collective entity disambiguation. Input mentions
(i.e.,~linkable token spans) are disambiguated jointly across an entire
document by combining a document-level prior of entity co-occurrences with
local information captured from mentions and their surrounding context. The
model is based on simple sufficient statistics extracted from data, thus
relying on few parameters to be learned.
Our method does not require extensive feature engineering, nor an expensive
training procedure. We use loopy belief propagation to perform approximate
inference. The low complexity of our model makes this step sufficiently fast
for real-time usage. We demonstrate the accuracy of our approach on a wide
range of benchmark datasets, showing that it matches, and in many cases
outperforms, existing state-of-the-art methods
Частота абсентеизма среди работающих машиностроительной промышленности
Universitatea de Medicină și Farmacie din Craiova,
Clinica Medicina Muncii, Spitalul Clinic de Urgenţă,
Craiova, România, Conferinţa știinţifico-practică naţională cu participare internaţională Sănătatea ocupaţională: probleme și realizări prima ediţie 5-7 iunie 2014Medical absenteeism is a current problem, with important
consequences for employers, resulting in decreased productivity
and costs from re-employment. Our study includes a
sample of 2500 employees in the automotive supply companies.
Lumbar discopathy is the main cause of absenteeism
in our group, representing 22.81% of the total number of
days of sick leave.Медицинский абсентеизм является очень актуальной
проблемой, с серьезными последствиями для работающих,способствуя снижению производительности труда и
материальным потерям, связанным с профессиональной
реинтеграцией. Наше исследование проведено на 2500
работающих в различных фирмах, поставляющих
автозапчасти. Главная причина медицинского
абсентеизма – это заболеваемость поясничной
дископатией, которая среди исследуемых нами
рабочих составила 22,81% из общего количества дней
нетрудоспособности
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