Control knowledge and pedagogical aspects of the GET-BITS model

1998 ◽  
pp. 735-744
Author(s):  
Ljubomir Jerinic ◽  
Vladan Devedzic ◽  
Danijela Radovic
Keyword(s):  
Control Knowledge

scholarly journals Insight into One Health Approach: Endoparasite Infections in Captive Wildlife in Bangladesh

Pathogens ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 250
Author(s):  
Tilak Chandra Nath ◽  
Keeseon S. Eom ◽  
Seongjun Choe ◽  
Shahadat Hm ◽  
Saiful Islam ◽  
...  
Keyword(s):  
One Health ◽  
Control Strategies ◽  
Limited Resource ◽  
Cross Sectional Study ◽  
Cox1 Gene ◽  
Parasite Control ◽  
Cross Sectional ◽  
Zoo Animals ◽  
Health Concept ◽  
Control Knowledge

Introduction: Endoparasites in captive wildlife might pose a threat to public health; however, very few studies have been conducted on this issue, and much remains to be learned, especially in limited-resource settings. This study aimed to investigate endoparasites of captive wildlife in Bangladesh. Perception and understanding of veterinarians regarding one health and zoonoses were also assessed. Materials and Methods: A cross-sectional study was conducted from October 2019 to August 2020. A total of 45 fecal samples from 18 different species of wild animals (i.e., 11 species of mammals: herbivores, carnivores, and omnivores, six birds, and a single reptile species) were collected randomly. Parasitological assessments were done by modified formalin ether sedimentation technique and rechecked by Sheather’s sugar floatation technique. Molecular identification of Spirometra spp. was conducted by amplifying the cytochrome c oxidase 1 (cox1) gene. Questionnaire surveys among 15 veterinarians and an in-depth interview (IDI) with a zoo officer were conducted. Results: Helminths (Spirometra sp., Capillaria sp., Ascaridia/Heterakis, opisthorchiid, strongyles, acuariid, hookworms, roundworms, and unidentified nematode larvae) and protozoa (coccidian oocyst) were identified, and the overall prevalence was 48.9% (22/45). The cox1 sequences (341 bp) of the Bangladesh-origin Spirometra species from lion showed 99.3–99.7% similarity to the reference sequences of Spirometra decipiens (GenBank No: KJ599679.1; MT122766). The majority of study participants (86.6%) agreed about the importance of endoparasite control in zoo animals, and 73.3% expressed that the one health concept should be promoted in Bangladesh. Only 6.7% of veterinarians perceived confidence in diagnosing parasitic diseases and preventing antiparasiticidal resistance. Conclusions: In the present survey, we found a considerable prevalence of endoparasites in captive wildlife. For the first time, zoonotically important S. decipiens from lion was molecularly characterized in Bangladesh. Veterinarian training is required to improve parasite control knowledge and practice. This study highlights the need for routine parasitological assessment, promotion of one health, and improvement of the implementation of current parasite control strategies in zoo animals.

scholarly journals Multi-criteria diagnosis of control knowledge for cartographic generalisation

2012 ◽  
Vol 217 (3) ◽  
pp. 633-642 ◽  
Author(s):  
Patrick Taillandier ◽  
Franck Taillandier
Keyword(s):  
Control Knowledge

Network data acquisition method based on crop pest control knowledge

2021 ◽  
Author(s):  
Han Chunyu ◽  
Fang Jiandong ◽  
Li Bajin ◽  
Zhao Yudong
Keyword(s):  
Data Acquisition ◽  
Pest Control ◽  
Network Data ◽  
Crop Pest ◽  
Control Knowledge ◽  
Acquisition Method

Cancer control knowledge and priorities among primary care physicians

1993 ◽  
Vol 8 (1) ◽  
pp. 35-41 ◽  
Author(s):  
Ross Brownson ◽  
James Davis ◽  
Sherri Simms ◽  
Thomas Kern ◽  
Robert Harmon
Keyword(s):  
Primary Care ◽  
Primary Care Physicians ◽  
Cancer Control ◽  
Control Knowledge

Needed: More Attention to Weight Control Knowledge

1985 ◽  
Vol 47 (3) ◽  
pp. 148-153
Author(s):  
A. M. Vener ◽  
L. R. Krupka
Keyword(s):  
Weight Control ◽  
Control Knowledge

scholarly journals PEMBERDAYAAN MASYARAKAT MELALUI PENDAMPINGAN PROGRAM KERJA BERBASIS MANAJEMEN LINGKUNGAN

2019 ◽  
pp. 73
Author(s):  
Novita Wahyu Setyawati ◽  
Dewi Sri Woelandari P.G
Keyword(s):  
Community Empowerment ◽  
Plastic Waste ◽  
Community Members ◽  
Learning Methods ◽  
Value System ◽  
Community Awareness ◽  
Surrounding Environment ◽  
Question And Answer ◽  
Control Knowledge ◽  
The City

Abstrak: Kegiatan pengabdian ini bertujuan untuk membangun kepedulian masyarakat di Kota Bekasi agar dapat ‘berkawan’ dengan lingkungan sekitarnya untuk mendapatkan manfaat secara langsung. Metode kegiatan menggunakan (1) metode ceramah yakni untuk menyampaikan pengetahuan secara umum tentang hidroponik dan bank sampah disertai dengan sesi tanya jawab dan (2) metode pembelajaran digunakan untuk alih pengetahuan  atau ketrampilan dan system nilai yang dimiliki oleh nara sumber kepada anggota masyarakat. Masalah yang dihadapi di lapangan adalah masalah gerakan menanam dengan metode Hidroponik, pengelolaan bank sampah, dan pemanfaatan sampah plastic menjadi produk recycle. Pemecahan masalah yang dapat dilakukan dengan pendampingan yaitu memberikan pengetahuan, pemahaman, dan pelatihan. Kata kunci: Pemberdayaan Masyarakat; Pendampingan dan Manajemen Lingkungan; Hidroponik dan Bank Sampah Abstract: This dedication activity aims to build community awareness in the city of Bekasi to be able to ' friends ' with the surrounding environment to benefit directly. Methods of activities using (1) lecture methods are to convey knowledge in general about hydroponics and waste banks accompanied by question and answer sessions (2) Learning methods used to control knowledge or skills and value system Owned by the community members. Problems faced in the field is the problem of planting movements with hydroponic methods, management of waste banks, and utilization of plastic waste into recycle products. Troubleshooting that can be done with mentoring is to provide knowledge, understanding, and training.Keywords: Community Empowerment; Environmental Assistance and Management; Hydroponics and trash Banks

scholarly journals Using satellite images in teaching geography at school

2020 ◽  
Keyword(s):  
Satellite Images ◽  
Visual Image ◽  
Dust Storms ◽  
Advantages And Disadvantages ◽  
The Earth ◽  
Atmospheric Fronts ◽  
History Of ◽  
Memory Representations ◽  
Control Knowledge

Satellite images occupy a signifi cant place in the Earth Sciences. This fully applies to geography. Images of the Earth from space are used in various activities: to assess crops, to establish the boundaries of a phenomenon, to determine the degree of contamination of land or ocean surfaces, to search for minerals, and so on. But in school geography, satellite images are used very rarely - for example, to prove the sphericity of the Earth or to show the view of each continent from space. The purpose of this article is to highlight the methods of using satellite images in geography lessons at school and to create tasks based on these means of training. Main material. The history of using satellite images in school geography has been considered in the article. Advantages and disadvantages of satellite images as training tools are also noted. The role of satellite images in the formation of geographical representations is highlighted by the authors. These images realistically depict many natural phenomena (atmospheric fronts, cyclones, dust storms, etc.). Therefore, as a means of visualization, they contribute to the formation of memory representations in schoolchildren. Examples of a number of satellite images show how they can be used in teaching geography. The article off ers a methodical way of the use of satellite images at diff erent stages of learning. These images can be used to explain the training material, repeat it, control knowledge, and so on. Satellite images can be used to solve cartographic tasks. As practice has shown, we can perform creative tasks based on images. Conclusions. Satellite images play an important role in the system of teaching geography. The use of satellite images allows us to improve the pupils’ interest in the subject. Satellite images form geographical memory representations create a visual image of the natural appearance of the Earth. The study of educational opportunities of the Earth’s images from space has revealed three groups of requirements: pedagogical, technical and specific, determined by the content of school geography. The teacher should select satellite images based on the content of educational tasks of school geography.

scholarly journals Decision-Theoretic Planning with non-Markovian Rewards

2006 ◽  
Vol 25 ◽  
pp. 17-74 ◽  
Author(s):  
S. Thiebaux ◽  
C. Gretton ◽  
J. Slaney ◽  
D. Price ◽  
F. Kabanza
Keyword(s):  
Decision Process ◽  
Single Interface ◽  
Reward Function ◽  
Domain Specific ◽  
Current State ◽  
Markovian Decision Process ◽  
Solution Methods ◽  
Control Knowledge ◽  
Search Control ◽  
Domain Independent

A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decision-theoretic planning, where many desirable behaviours are more naturally expressed as properties of execution sequences rather than as properties of states, NMRDPs form a more natural model than the commonly adopted fully Markovian decision process (MDP) model. While the more tractable solution methods developed for MDPs do not directly apply in the presence of non-Markovian rewards, a number of solution methods for NMRDPs have been proposed in the literature. These all exploit a compact specification of the non-Markovian reward function in temporal logic, to automatically translate the NMRDP into an equivalent MDP which is solved using efficient MDP solution methods. This paper presents NMRDPP (Non-Markovian Reward Decision Process Planner), a software platform for the development and experimentation of methods for decision-theoretic planning with non-Markovian rewards. The current version of NMRDPP implements, under a single interface, a family of methods based on existing as well as new approaches which we describe in detail. These include dynamic programming, heuristic search, and structured methods. Using NMRDPP, we compare the methods and identify certain problem features that affect their performance. NMRDPP's treatment of non-Markovian rewards is inspired by the treatment of domain-specific search control knowledge in the TLPlan planner, which it incorporates as a special case. In the First International Probabilistic Planning Competition, NMRDPP was able to compete and perform well in both the domain-independent and hand-coded tracks, using search control knowledge in the latter.

scholarly journals Study on the Extraction Method of Deformation Influence Factors of Flexible Material Processing Based on Information Entropy

2014 ◽  
Vol 6 ◽  
pp. 547947 ◽  
Author(s):  
Yaohua Deng ◽  
Qiwen Lu ◽  
Jiayuan Chen ◽  
Sicheng Chen ◽  
Liming Wu ◽  
...  
Keyword(s):  
Material Processing ◽  
Information Entropy ◽  
Extraction Method ◽  
Knowledge Extraction ◽  
Attribute Importance ◽  
Compensation Control ◽  
Flexible Material ◽  
Extraction Algorithm ◽  
Control Knowledge ◽  
Deformation Compensation

Through analyzing the flexible material processing (FMP) deformation factors, it is pointed out that without a choice of deformation influence quantity would increase the compensation control predict model system input. In order to reduce the count of spatial dimensions of knowledge, we proposed the method by taking the use of FMP deformation compensation control knowledge extraction, which is based on decision table (DT) attribute reduction, deriving the algorithm that is based on information entropy attribute importance, to find the dependencies between attributes through attribute significance (AS) and to extract the intrinsic attributes which is the most close to deformation compensation control decision making. Finally, through an example presented in this paper to verify the efficiency of RS control knowledge extraction method. Compared with the Pawlak method and genetic extraction algorithm, the prediction accuracy of after reduction data is 0.55% less than Pawlak method and 3.64% higher than the genetic extraction algorithm; however, the time consumption of forecast calculation is 30.3% and 11.53% less than Pawlak method and genetic extraction algorithm, respectively. Knowledge extraction entropy methods presented in this paper have the advantages of fast calculating speed and high accuracy and are suitable for FMP deformation compensation of online control.

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