text:
Racine Officials Showed Bad Judgement on Records
By MacIver Institute - February 8, 2019
Accountability, Bill Lueders, City of Racine, Cory Mason, Freedom of Information, Open Records, Open Records Law, Open Records Requests, Racine, Racine Journal-Times, Taxpayers, Wisconsin Freedom of Information Council
Special guest perspective by Bill Lueders, provided by our friends at the Freedom of Information Council
The more we know about the efforts by officials in Racine to shield public records from public view, the more outrageous it seems.
In late January, the office of Racine City Attorney Scott Letteney disclosed a summary of records it has fought tooth and nail to keep secret. It showed these to be ordinary email communications, mainly between Racine Ald. Sandra Weidner and her constituents.
Letteney's reaction suggests the emails contained vital national security secrets, perhaps the nuclear launch codes. He believes, apparently, that any communication from within city government that intersects with the work of his office is top secret.
In one email, Weidner asked the city attorney's office whether a given contract would need city council approval. Another attached a resolution regarding the creation of a redevelopment authority. There were also emails concerning a bar license and a constituents' claim for garage damages.
These are the kinds of records routinely released by local governments throughout the state.
Yet Letteney's reaction suggests the emails contained vital national security secrets, perhaps the nuclear launch codes. He believes, apparently, that any communication from within city government that intersects with the work of his office is top secret.
Letteney's bad judgment was matched by that of Racine City Judge Eugene Gasiorkiewicz, who agreed to seal the entire file of Weidner's lawsuit challenging the city attorney's actions. Even the judge's ruling, which found that some of these records should be public, was filed under seal.
The public was literally denied the right to know about a lawsuit regarding its right to know.
And when Weidner did the courageous thing and went public with information about the case, Letteney demanded and Gasiorkiewicz imposed a contempt of court charge against her.
It gets even worse. A request from the local Racine paper, the Journal Times, for records showing how much city taxpayers were paying an outside law firm to go after Weidner was denied, on grounds that these were filed under seal.
A state appeals court is now reviewing Weidner's records suit and contempt conviction. News organizations including the Milwaukee Journal Sentinel, USA Today Network-Wisconsin, Wisconsin Broadcasters Association, Wisconsin Newspaper Association, and Wisconsin Freedom of Information Council (of which I am president) filed a motion to intervene, asking that the case and documents be unsealed.
This led to a determination that the vast majority of case records must be made public, as they should have been all along.
As the Journal Times reported, the released invoices show Racine taxpayers have shelled out nearly $18,000 to fund Letteney's crusade against Weidner. This went to pay two attorneys $350 and $205 an hour, respectively, for about 68 hours of work. Weidner's attorney, Terry Rose, deemed these fees "excessive in light of the issues involved," noting that his defense of Weidner, at $300 an hour, came to less than $3,500.
Let us be clear about what has happened. City Attorney Letteney, with Judge Gasiorkiewicz's help, has wasted many thousands of taxpayer dollars to embrace a shocking level of official secrecy. Weidner and media organizations have, at their own expense, pushed back against this, and thus far prevailed.
But the wrong that has been done here has not yet been righted. There ought to be consequences for the bad judgment shown by Letteney and Gasiorkiewicz, as well as by Racine Mayor Cory Mason – who, as far as I can tell, has sat on his hands as this outrage has played out in his city.
The violation of the public trust here has been severe. The repercussions should be also.
Bill Lueders is president of the Wisconsin Freedom of Information Council, a statewide group that works to protect access to public meetings and records.


2015 CATERPILLAR 311F : Crawler Excavator. Location: Canada QC. Updated on 2019/04/05.
2013 CATERPILLAR 906H : Wheel Loader. Location: Canada QC. Updated on 2019/04/05.
2016 GENIE GS-2632 : Scissor Lift Platform. Location: Canada QC. Updated on 2019/04/05.
2012 HITACHI ZX85 : Crawler Excavator. Location: Canada QC. Updated on 2019/04/05.
2015 JOHN DEERE 17G : Mini Excavator. Location: Canada QC. Updated on 2019/04/05.
2013 JOHN DEERE 2032 : Wheel Tractor. Location: Canada QC. Updated on 2019/04/05.
2010 JOHN DEERE 2520 : Wheel Tractor. Location: Canada QC. Updated on 2019/04/05.
2014 JOHN DEERE 35G : Mini Excavator. Location: Canada QC. Updated on 2019/04/05.
2013 JOHN DEERE 3720 : Wheel Tractor. Location: Canada QC. Updated on 2019/04/05.
2013 JOHN DEERE 4520 : Wheel Tractor. Location: Canada QC. Updated on 2019/04/05.


text:
Phunware Obtains More Bitcoin
In Blog Articles, Featured
Phunware Obtains More Bitcoin2021-12-092021-12-09https://www.phunware.com/wp-content/themes/jupiter-child/images/pw-logo.svgPhunwarehttps://www.phunware.com/wp-content/uploads/2021/12/blog-phunware-obtains-more-bitcoin-featured.jpg200px200px
Phunware has announced today it has purchased an additional 100 bitcoin for approximately $4,975,000 in cash at an average price of approximately $49,750 per bitcoin, inclusive of fees and expenses.
As of December 9, 2021, Phunware holds an aggregate of approximately 630 bitcoin, which were acquired at an aggregate purchase price of approximately $36.8 million and an average purchase price of approximately $58,513 per bitcoin, inclusive of fees and expenses.
Phunware Obtains More Bitcoin was last modified: December 9th, 2021 by Phunware
Phunware Phunware in the News Phunware News
Phunware Acquires More BitcoinFeatured, Press Release Articles
PhunToken by Phunware (NASDAQ: PHUN) = Data + OpportunityFeatured, Videos

redpajama_set_name: RedPajamaCommonCrawl


text:
package com.timliu.security.message_digest;

import java.security.MessageDigest;
import java.security.Security;

import org.apache.commons.codec.binary.Hex;
import org.apache.commons.codec.digest.DigestUtils;
import org.bouncycastle.crypto.digests.MD4Digest;
import org.bouncycastle.crypto.digests.MD5Digest;
import org.bouncycastle.jce.provider.BouncyCastleProvider;

public class MD5Test
{

	public static final String src = "md5 test";
	public static void main(String[] args)
	{
		jdkMD5();
		jdkMD2();

		bcMD4();
		bcMD5();

		bc2jdkMD4();

		ccMD5();
		ccMD2();

	}

	// 用jdk实现:MD5
	public static void jdkMD5()
	{
		try
		{
			MessageDigest md = MessageDigest.getInstance("MD5");
			byte[] md5Bytes = md.digest(src.getBytes());
			System.out.println("JDK MD5:" + Hex.encodeHexString(md5Bytes));
		} catch (Exception e) {
			e.printStackTrace();
		}
	}

	// 用jdk实现:MD2
	public static void jdkMD2()
	{
		try
		{
			MessageDigest md = MessageDigest.getInstance("MD2");
			byte[] md2Bytes = md.digest(src.getBytes());
			System.out.println("JDK MD2:" + Hex.encodeHexString(md2Bytes));
		} catch (Exception e) {
			e.printStackTrace();
		}
	}

	// 用bouncy castle实现:MD5
	public static void bcMD5()
	{
		MD5Digest digest = new MD5Digest();
		digest.update(src.getBytes(),0,src.getBytes().length);
		byte[] md5Bytes = new byte[digest.getDigestSize()];
		digest.doFinal(md5Bytes, 0);
		System.out.println("bouncy castle MD5:" + org.bouncycastle.util.encoders.Hex.toHexString(md5Bytes));

	}

	// 用bouncy castle实现:MD4
	public static void bcMD4()
	{
		MD4Digest digest = new MD4Digest();
		digest.update(src.getBytes(),0,src.getBytes().length);
		byte[] md4Bytes = new byte[digest.getDigestSize()];
		digest.doFinal(md4Bytes, 0);
		System.out.println("bouncy castle MD4:" + org.bouncycastle.util.encoders.Hex.toHexString(md4Bytes));
	}

	// 用bouncy castle与jdk结合实现:MD4
	public static void bc2jdkMD4()
	{
		try
		{
			Security.addProvider(new BouncyCastleProvider());
			MessageDigest md = MessageDigest.getInstance("MD4");
			byte[] md4Bytes = md.digest(src.getBytes());
			System.out.println("bc and JDK MD4:" + Hex.encodeHexString(md4Bytes));
		} catch (Exception e) {
			e.printStackTrace();
		}
	}

	// 用common codes实现实现:MD5
	public static void ccMD5()
	{
		System.out.println("common codes MD5:" + DigestUtils.md5Hex(src.getBytes()));
	}

	// 用common codes实现实现:MD2
	public static void ccMD2()
	{
		System.out.println("common codes MD2:" + DigestUtils.md2Hex(src.getBytes()));
	}

}

redpajama_set_name: RedPajamaGithub


text:
Q: Relations in Nest JS (Type ORM using SQL DB) I am unable to understand relations basically I know the concept of relations but I am unable to us them in my project like m not getting what I want.
I don't know what is wrong here
import { ApiProperty } from '@nestjs/swagger';

import {
  Entity,
  Column,
  PrimaryGeneratedColumn,
  OneToOne,
  JoinColumn,
} from 'typeorm';
import { Customer } from './Customer.entitye';
import { Sale } from './Sale.entity';

@Entity()
export class Mobile {
  @PrimaryGeneratedColumn()
  @ApiProperty()
  id: number;
  @Column()
  @ApiProperty()
  Mobile_name: string;
  @Column()
  @ApiProperty()
  Mobile_Model: string;
  @Column()
  @ApiProperty()
  Mobile_EMEI: String;
  @Column()
  @ApiProperty()
  Mobile_Price: number;
  @Column()
  @ApiProperty()
  Mobile_Color: string;
  @OneToOne(() => Sale)
  @JoinColumn()
  Profile: Sale;
  @OneToOne(() => Customer)
  @JoinColumn()
  customer: Customer;
}

and the second entity is
import { ApiProperty } from '@nestjs/swagger';
import { Entity, Column, PrimaryGeneratedColumn, OneToOne, JoinColumn } from 'typeorm';
import { Mobile } from './Mobile.entity';

@Entity()
export class Sale{
    @PrimaryGeneratedColumn()
    id:number
     @Column()
     @ApiProperty()
     Sold_Mobile : String
     @OneToOne(() => Mobile, (mobile) => mobile.Mobile_EMEI)
     @JoinColumn()
      mobile: Mobile
}

why this Mobileid is null
SS of DB
kindly give me the sol or just tell me the best source to learn thi thing

redpajama_set_name: RedPajamaStackExchange


As there are four distinct seasons in Finland you will need very different clothes during your stay. At the beginning of the autumn semester or at the end of the spring semester you may need summer clothes as the temperature can be 20 degrees. Later in the autumn (October - November) and in the spring (March - May) you need rain and windproof outdoor clothing. The temperature can be above or below zero during these periods. During the winter months (December - February) the temperature is usually below zero which means that you need warm clothes. The secret to keeping warm when it's cold outside is to wear layers of clothes: first an under-layer that draws perspiration away from the skin. Then another layer of warm clothing and on top of this a warm coat. You also need warm socks and shoes, gloves, a scarf and a cap.


text:
Signal and Image Processing for Biometrics by
Get full access to Signal and Image Processing for Biometrics and 60K+ other titles, with free 10-day trial of O'Reilly.
Chapter 4Modeling, Reconstruction and Trackingfor Face Recognition 1
With the development of biometric techniques, automatic identity control systems have been invested in many places and facilities (e.g. airports and secure premises) during the last years. To improve the traffic flow at these recognition systems, it is necessary to minimize as much as possible the constraints imposed on the user. To meet this objective, it is necessary to perform "on-the-fly" acquisitions, without constraining the user to stop and stand in front of a sensor. In this chapter, we therefore focus on the use of facial biometrics, and more specifically on issues related to on-the-fly face acquisition. To enable the authentication within such systems, we have to solve a number of issues related to the facial shape and texture estimation. To address the theoretical aspects related to face acquisition and reconstruction, we consider the following framework: a multiview acquisition system is placed at the entrance of a room, a corridor, or a car park, for instance, and the aim is to identify or authenticate the person observed through this device.
The requirements of a biometric system are varied, for example its ease of use, its speed of execution, its non-intrusiveness to users, its cost, and its reliability. The first three points are essential for systems designed for the general public, where the number of users is important and where these users are not specifically trained ...
Get Signal and Image Processing for Biometrics now with the O'Reilly learning platform.


We're thrilled to announce that our Bedtime Explorers Alexa Skill has been nominated for a Webby Award - but to win, we're going to need your help!
LOVE BEDTIME EXPLORERS? CLICK HERE TO VOTE NOW!
Bedtime Explorers is a nominee in the Apps, Mobile and Voice - Health, Fitness & Lifestyle catergory, and we're up against some stiff competition including Headspace and Nike Coach.
Whether we win or not, we're pretty chuffed that we've been shortlisted in the first place - and we wouldn't be here without you, our listeners.
Thank you tuning in with your kids and putting our podcast to the test! We've heard countless stories about how it's made bedtime so much easier in your home, and how its taught your kids to calm themselves down at the end of the day.
To celebrate this mementous achievement, for the first time ever we've made all 18 episodes of Bedtime Explorers on Alexa.
Simply say, "Alexa, play Bedtime Explorers" to start exploring what's there.
They'll be sleeping sound in no time!
A paediatric sleep specialist explains how to manage those monsters under the bed.


As the HR Business Partner you will lead on all HR initiatives and ensure operational alignment to business objectives. You are someone who has a keen interest and solid experience in the manufacturing sector or a related industry (e.g. Distribution or Logistics) and a passion for providing high-quality HR service in complex and fast-paced environments.
Execute the People strategy together with People Director and in partnership with key stakeholders, aligning the People initiatives with the business strategy and ensuring operational excellence.
Coach and act as a trusted advisor to business leaders on all aspects of the people agenda - working with them to manage complex people challenges and opportunities.
Manage the annual people cycles including reward, performance and talent - using knowledge and tools to drive positive people outcomes and working in close collaboration with back office People team.
Guarantee effective compliance and implementation of the people management processes performance management, disciplinary, grievance etc), working close to operations leaders.
Work in Partnership with business leaders to guarantee the effective management of the relationship with unions and workers' representative, supporting the leaders in the Plant, in the achievement of a positive and collaborative social relations climate, while ensuring compliance of all relevant legal processes associated with collective industrial relations frameworks.
Act as change agent supporting on business process, cultural and behavioural change during periods of transformation.
Work collaboratively as part of the Group & Manufacturing People team and actively contribute to the people team model through effective relationship building, active participation in common initiatives and building employee engagement across your perimeter.
Participate actively in Group People strategic agenda during monthly and annual meetings.
Proven experience working in an HR Business Partner role with a strong bias to a production or distribution/logistics type of environment covering diverse employee demographic.
A resilient, pragmatic & business outcomes focused individual.
Excellent knowledge of French labour law, experience leading & supporting on employee relations, both at individual and collective levels, able to mitigate risk and ensure compliance with local legislation.
Ability to negotiate with and influence senior management and challenge or compromise when necessary, building effective working partnerships.
Excellent interpersonal and communication skills to establish strong relationships across all levels in the organisation.
Able to demonstrate proven experience of supporting the people and organizational dimensions of business transformation & change programmes aimed at improving business effectiveness.
Educated to degree level or French equivalent with strong knowledge base/education in French social law and employment legislation.