بدائل البحث:
effective prevention » effective intervention (توسيع البحث), effective interventions (توسيع البحث)
python effective » proven effective (توسيع البحث), 1_the effective (توسيع البحث), 2_the effective (توسيع البحث)
effective prevention » effective intervention (توسيع البحث), effective interventions (توسيع البحث)
python effective » proven effective (توسيع البحث), 1_the effective (توسيع البحث), 2_the effective (توسيع البحث)
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1
Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management
منشور في 2024"…All Rights Reserved.By integrating advanced security features and adhering to industry <b>code security best practices</b>, the Secure Python Code Manager Script helps you <b>protect Python code</b> effectively. …"
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2
Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool
منشور في 2024"…</li></ul><p dir="ltr"><b>Application Areas</b></p><p dir="ltr">The <b>Multi-Version PYZ Builder Script</b> can be effectively applied in various areas:</p><ul><li><b>Commercial Distribution</b>: Distribute protected Python code to clients or customers, implementing advanced <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>source code protection</b></a> for sales or rentals.…"
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3
Local Python Code Protector Script: A Tool for Source Code Protection and Secure Code Sharing
منشور في 2024"…</li></ul><h2>Additional Features</h2><ul><li><a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank"><b>Protect Python Code</b></a>: The tool effectively protects your Python code, preventing unauthorized access or modification.…"
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4
System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool
منشور في 2024"…This tool provides <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">code obfuscation in Python</a> and <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank">Python code encryption</a>, enabling developers to <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">protect Python code</a> effectively.…"
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5
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S2 Fig -
منشور في 2025"…<div><p>Hospitals are highly dynamic environments where Covid-19 is highly transmissible if effective measures are not taken. General preventive policies are not necessarily effective; however, agent-based modelling can offer a way to tailor policies in such specific settings. …"
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7
Experimental set-up.
منشور في 2025"…<div><p>Hospitals are highly dynamic environments where Covid-19 is highly transmissible if effective measures are not taken. General preventive policies are not necessarily effective; however, agent-based modelling can offer a way to tailor policies in such specific settings. …"
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8
Metrics and statistics for Scenarios 1-7.
منشور في 2025"…<div><p>Hospitals are highly dynamic environments where Covid-19 is highly transmissible if effective measures are not taken. General preventive policies are not necessarily effective; however, agent-based modelling can offer a way to tailor policies in such specific settings. …"
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9
PRCC elasticity analysis of .
منشور في 2025"…To tackle this issue, researchers are working on ways to predict and prevent these attacks by studying how malware spreads. …"
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10
PRCC of analysis.
منشور في 2025"…To tackle this issue, researchers are working on ways to predict and prevent these attacks by studying how malware spreads. …"
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11
Illustration of model compartment links.
منشور في 2025"…To tackle this issue, researchers are working on ways to predict and prevent these attacks by studying how malware spreads. …"
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12
Simulated network for 2000 devices.
منشور في 2025"…To tackle this issue, researchers are working on ways to predict and prevent these attacks by studying how malware spreads. …"
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13
Tools used in this study.
منشور في 2025"…To tackle this issue, researchers are working on ways to predict and prevent these attacks by studying how malware spreads. …"
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14
Modeling and evacuation simulation of asymmetric attraction-repulsion mechanism of companion group based on Morse potential function
منشور في 2025"…<a href="" target="_blank">By introducing the Morse potential function, </a>a <a href="" target="_blank">segmented force field model</a> is constructed, which can differentially characterize the interaction between leaders and followers: strong repulsion within a very short distance to prevent collisions, maintaining weak attraction at a medium distance to maintain group cohesion, and enhancing attraction at a long distance to prevent dispersion. …"
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15
Cost functions implemented in Neuroptimus.
منشور في 2024"…However, using most of these software tools and choosing the most appropriate algorithm for a given optimization task require substantial technical expertise, which prevents the majority of researchers from using these methods effectively. …"
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16
Data Sheet 7_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx
منشور في 2025"…Data processing was conducted using Python software. The pandas library was used for data cleaning and preprocessing, involving 68 categorical and 12 continuous variables. …"
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17
Data Sheet 2_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx
منشور في 2025"…Data processing was conducted using Python software. The pandas library was used for data cleaning and preprocessing, involving 68 categorical and 12 continuous variables. …"
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18
Data Sheet 1_Knowledge, attitude, and perception of Pakistani populations toward monkeypox: a cross-section study.pdf
منشور في 2025"…Statistical analyses were performed in Jupyter Notebook using Python 3 and the Pandas, Matplotlib, and stats libraries.…"
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Data Sheet 9_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.xlsx
منشور في 2025"…Data processing was conducted using Python software. The pandas library was used for data cleaning and preprocessing, involving 68 categorical and 12 continuous variables. …"
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20
Data Sheet 5_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx
منشور في 2025"…Data processing was conducted using Python software. The pandas library was used for data cleaning and preprocessing, involving 68 categorical and 12 continuous variables. …"