On the Optimum Geometry and Training Strategy for Chemical Classifiers that Recognize the Shape of a Sphere

AbstractOBJECTIVEIdentifying factors associated to survival after cardiac arrest.METHODAn experience report of a cohort study conducted in a university hospital, with a consecutive sample comprised of 285 patients. Data were collected for a year by trained nurses. The training strategy was conducted through an expository dialogue lecture. Collection monitoring was carried out by nurses via telephone calls, visits to the emergency room and by medical record searches. The neurological status of survivors was evaluated at discharge, after six months and one year.RESULTSOf the 285 patients, 16 survived until hospital discharge, and 13 remained alive after one year, making possible to identify factors associated with survival. There were no losses in the process.CONCLUSIONCohort studies help identify risks and disease outcomes. Considering cardiac arrest, they can subsidize public policies, encourage future studies and training programs for CPR, thereby improving the prognosis of patients.

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Training Convolutional Neural Networks with Multi-Size Images and Triplet Loss for Remote Sensing Scene Classification

Sensors ◽

10.3390/s20041188 ◽

2020 ◽

Vol 20 (4) ◽

pp. 1188 ◽

Cited By ~ 10

Author(s):

Jianming Zhang ◽

Chaoquan Lu ◽

Jin Wang ◽

Xiao-Guang Yue ◽

Se-Jung Lim ◽

...

Keyword(s):

Remote Sensing ◽

Classification Accuracy ◽

Model Parameters ◽

Classification Algorithms ◽

Scene Classification ◽

Training Strategy ◽

Network Training ◽

Training Stage ◽

Triplet Loss ◽

And Training

Many remote sensing scene classification algorithms improve their classification accuracy by additional modules, which increases the parameters and computing overhead of the model at the inference stage. In this paper, we explore how to improve the classification accuracy of the model without adding modules at the inference stage. First, we propose a network training strategy of training with multi-size images. Then, we introduce more supervision information by triplet loss and design a branch for the triplet loss. In addition, dropout is introduced between the feature extractor and the classifier to avoid over-fitting. These modules only work at the training stage and will not bring about the increase in model parameters at the inference stage. We use Resnet18 as the baseline and add the three modules to the baseline. We perform experiments on three datasets: AID, NWPU-RESISC45, and OPTIMAL. Experimental results show that our model combined with the three modules is more competitive than many existing classification algorithms. In addition, ablation experiments on OPTIMAL show that dropout, triplet loss, and training with multi-size images improve the overall accuracy of the model on the test set by 0.53%, 0.38%, and 0.7%, respectively. The combination of the three modules improves the overall accuracy of the model by 1.61%. It can be seen that the three modules can improve the classification accuracy of the model without increasing model parameters at the inference stage, and training with multi-size images brings a greater gain in accuracy than the other two modules, but the combination of the three modules will be better.

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Research on Talent Introduction Hazard and Training Strategy of University Based on Data Mining

Computational Risk Management - Modeling Risk Management for Resources and Environment in China ◽

10.1007/978-3-642-18387-4_24 ◽

2011 ◽

pp. 219-224

Author(s):

Feng Li ◽

Shilun Ge ◽

Jie Yin

Keyword(s):

Data Mining ◽

Training Strategy ◽

And Training

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Environmental Language Intervention: The Rationale for a Diagnostic and Training Strategy through Rules, Context, and Generalization

Journal of Speech and Hearing Disorders ◽

10.1044/jshd.3903.244 ◽

1974 ◽

Vol 39 (3) ◽

pp. 244-256 ◽

Cited By ~ 24

Author(s):

James D. MacDonald ◽

Judith Presser Blott

Keyword(s):

Expressive Language ◽

Intervention Strategy ◽

Environmental Context ◽

Language Intervention ◽

Early Language ◽

Theoretical Rationale ◽

Training Strategy ◽

Language Classes ◽

And Training

The Environmental Language Intervention Strategy is proposed as a singular approach to the diagnosis and training of individuals with severely delayed expressive language. The strategy places in a clinical framework the semantically based approach to grammar of Bloom, Schlesinger, and Brown by selecting as the content for diagnosis and for training those eight rules governing the semantic functions of early two-word utterances in a variety of languages. The rules are elicited with linguistic and nonlinguistic cues that represent the full environmental context of the utterance. The strategy also samples and trains the early language rules in imitation, conversation, and play in order to include, from the beginning of intervention, procedures for training generalization of new language classes to spontaneous use. The theoretical rationale for the strategy is discussed, and operational definitions of the rules are presented. The procedures for using the strategy in diagnosis and training are introduced.

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STRATEGI KEPEMIMPINAN KEPALA SEKOLAH BERJIWA WIRAUSAHA

Aplikasi Administrasi: Media Analisa Masalah Administrasi ◽

10.30649/aamama.v21i2.104 ◽

2019 ◽

Vol 21 (2) ◽

pp. 121

Author(s):

Suyitno

Keyword(s):

Education And Training ◽

Short Message ◽

Promotion Strategy ◽

Business World ◽

Target Time ◽

Training Strategy ◽

Mailing Lists ◽

And Performance ◽

Internship Programs ◽

And Training

The aims of this study is to describe and explain: (1) school promotion strategy; (2) education and training provision strategy; and (3) graduate marketing and alumni coordination strategy.This study uses a qualitative approach under a multiple case study design. The results of the study show that:(1) school promotion strategy to maintain branding, introduce school, and anticipate changes in government policy; (2) education and training strategy, which consists of strategies related to curriculum and learning materials, such as enterprise, religious content and field-based competency (IT); learning in Production Unit; industrial internship programs; National Exam success strategy; strategy in building up students’ characters (disciplined, morality, and attitude); coaching teachers based on reward and punishment, sincerity, and performance assessment; and (3) graduate marketing and alumni coordination strategy conducted since the students are in class XII through the collection of students’ biodata, curriculum vitaes, and questionnaires, and continued until the students graduates through short message gateway, facebook, email, mailing lists, and direct data collection. Graduate marketings is performed with a target time (expired in 3 months) by leveraging relationships with industrial and business world, empowering organizational networks, as well as the empowerment of alumni. Key words: strategy, leadership, school principals, vocational school

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