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Showing posts from March, 2025

Real-Time Criminal Network Analysis and Actionable Intelligence System. Python Centric model.

Python script designed for law enforcement to analyze communications among criminal stakeholders. The script will: 1. Connect to a database containing communication records and stakeholder information. 2. Analyze communications to detect patterns, hierarchies, and key actors (using network analysis). 3. Identify organizational structure (organigram) using graph analysis. 4. Generate actionable insights to help plan legal actions with a general attorney or judge. 5. Visualize the network for better understanding. --- Requirements Install necessary Python packages: pip install mysql-connector-python pandas networkx matplotlib --- Python Script import mysql.connector import pandas as pd import networkx as nx import matplotlib.pyplot as plt # Database connection parameters DB_CONFIG = {     'host': 'localhost',     'user': 'your_username',     'password': 'your_password',     'database': 'criminal_network' } # Connect to the ...

Report on Artillery Projectile Trajectory Optimization Script

Report on Artillery Projectile Trajectory Optimization Script 1. Introduction This script is designed ( listed at the end ) to calculate the optimal launch parameters for an artillery projectile to hit a specified target. The objective is to determine the ideal launch angle and initial velocity required to strike a target at a given distance and height, considering real-world physical and environmental factors such as air resistance, wind, the Coriolis effect, and the Magnus effect. The script leverages mathematical models and numerical optimization to minimize the error between the simulated impact point and the target position. 2. Purpose and Objective The primary goal of the script is to compute the best launch parameters (angle and initial velocity) for different types of projectiles used in European artillery systems. The script simulates the projectile’s flight path, adjusting for complex atmospheric and ballistic influences, to minimize the discrepancy between the simulated impa...

Pesaje: de células de carga analógicas a Scada, via Tablet

Para recuperar la señal analógica de una célula de carga, transformarla en digital y transferir los datos a una tablet y luego a una SCADA con un totalizador de peso y registro de datos (como un data logger), necesitas un sistema que combine hardware y software de manera eficiente. A continuación, te explico los pasos clave: 1. Adquisición de señal analógica desde la célula de carga Las células de carga típicamente entregan una señal analógica muy débil en milivoltios (mV) por voltio de excitación (usualmente entre 0-30 mV). Para capturar esta señal necesitas un amplificador y un convertidor analógico-digital (ADC) de alta precisión para garantizar una buena resolución. Opciones recomendadas: HX711 – Es un módulo ADC de 24 bits diseñado específicamente para señales de células de carga. INA125 – Amplificador de instrumentación que también se puede utilizar para señales analógicas de baja amplitud. --- 2. Conversión y procesamiento de la señal 1. Conecta la célula de carga al módulo HX71...

War & tariffs: CKD SKD Active/Passive Perfectionnement. Inditex Business case/ Neutral countries Value.

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Translate this article: Arabic English Français Español Català Deutsch Italiano War Tariffs and Strategic Trade: CKD, SKD, and Active-Passive Barriers War Tariffs and Strategic Trade: CKD, SKD, and Active-Passive Barriers By Ryan Khouja | March 18, 2025 In a world where economic confrontation is replacing direct military conflict, understanding war tariffs , geoeconomic strategies , and industrial policy tools like CKD (Completely Knocked Down) and SKD (Semi-Knocked Down) is essential for developing a resilient European commercial strategy . Understanding CKD and SKD Trade Models The CKD and SKD assembly models allow countries to bypass high import duties by importing components instead of fully assembled goods. This has become a widespread strategy in sectors...

Guerra Arancelaria y comercial: SKD CKD

El perfeccionamiento activo y pasivo son herramientas aduaneras clave que permiten a las empresas optimizar sus cadenas de suministro y potencialmente reducir o evitar el pago de aranceles. Aquí te explico su papel en la cadena de aprovechamiento: Perfeccionamiento Activo (PA)  * Definición:    * Permite la importación temporal de mercancías no pertenecientes a la Unión Europea (UE) para su transformación, elaboración o reparación dentro del territorio aduanero de la UE, sin el pago de aranceles.    * El objetivo es que los productos resultantes (productos compensadores) se reexporten fuera de la UE o se despachen a libre práctica dentro de la UE.  * Papel en la cadena de aprovechamiento:    * Optimización de costos: Las empresas pueden importar materias primas o componentes, transformarlos en productos de mayor valor añadido y reexportarlos, evitando así los aranceles de importación.    * Mejora de la competitividad: Permite a las empre...

American student debt

In the United States, women hold nearly two-thirds of the outstanding student loan debt, amounting to approximately $929 billion. This disparity arises from several factors, including higher enrollment rates among women and differences in borrowing patterns. Borrowing Patterns: 49.3% of female bachelor's degree holders have taken on federal student loans, compared to 41.9% of male bachelor's degree holders.  Female bachelor's degree holders borrow, on average, 3.63% more in student loans than their male counterparts.  Repayment Challenges: Women often face greater challenges in loan repayment, taking about two years longer than men to repay student loans. This extended repayment period can be attributed to factors such as the gender pay gap and career interruptions.  Impact on Women of Color: The burden of student loan debt is particularly pronounced among women of color: More than 70% of Black students incur debt to finance their education, compared to 56% of white stud...

Defense Equipment Maintenance

Defense equipment encompasses a wide range of machinery and systems utilized by military forces, including vehicles, aircraft, naval vessels, communication systems, and weaponry. These assets are designed to operate under diverse and often extreme conditions, necessitating robust maintenance strategies to ensure operational readiness and longevity. Key Indicators in Defense Equipment Maintenance Effective maintenance of defense equipment is crucial for mission success and the safety of military personnel. Key performance indicators include: Mean Time Between Failures (MTBF): Measures the average operational time between equipment failures, indicating reliability. Mean Time To Repair (MTTR): Represents the average time required to repair equipment, reflecting maintenance efficiency. Operational Availability: The percentage of time equipment is mission-ready, highlighting overall readiness. Maintenance Cost per Operating Hour: Evaluates the cost-effectiveness of maintenance activities. P...