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    Ethics and Internet Measurements

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    Over the past decade the Internet has changed from a helpful tool to an important part of our daily lives for most of the world’s population. Where in the past the Internet mostly served to look up and exchange information, it is now used to stay in touch with friends, perform financial transactions or exchange other kinds of sensitive information. This development impacts researchers performing Internet measurements, as the data traffic they collect is now much more likely to have some impact on users. Traditional institutions such as Institutional Review Boards (IRBs) or Ethics Committees are not always equipped to perform a thorough review or gauge the impact of Internet measurement studies. This paper examines the impact of this development for Internet measurements and analyses previous cases where Internet measurements have touched upon ethical issues. The paper proposes an early framework to help researchers identify stakeholders and how a network study may impact them. In addition to this, the paper provides advice on creating measurement practices that incorporate ethics by design, and also considers the role of third-party data suppliers in ethical measurement practices

    āļœāļĨāļāļēāļĢāļ›āļĢāļ°āđ€āļĄāļīāļ™āļ„āļļāļ“āļĨāļąāļāļĐāļ“āļ°āļ—āļĩāđˆāļžāļķāļ‡āļ›āļĢāļ°āļŠāļ‡āļ„āđŒāļ”āđ‰āļēāļ™āļ„āļļāļ“āļ˜āļĢāļĢāļĄ āļˆāļĢāļīāļĒāļ˜āļĢāļĢāļĄ āļ‚āļ­āļ‡āļ™āļąāļāļĻāļķāļāļĐāļēāļĄāļŦāļēāļ§āļīāļ—āļĒāļēāļĨāļąāļĒāļĢāļēāļŠāļ āļąāļāđƒāļ™āļĒāļļāļ„āļ§āļīāļ–āļĩāđƒāļŦāļĄāđˆ An Analysis of Changes in Morality and Ethics of Rajabhat University’s Students in New Normal Era

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    āļāļēāļĢāļ§āļīāļˆāļąāļĒāļ„āļĢāļąāđ‰āļ‡āļ™āļĩāđ‰āļĄāļĩāļ§āļąāļ•āļ–āļļāļ›āļĢāļ°āļŠāļ‡āļ„āđŒāđ€āļžāļ·āđˆāļ­āļ›āļĢāļ°āđ€āļĄāļīāļ™āļ„āļļāļ“āļĨāļąāļāļĐāļ“āļ°āļ—āļĩāđˆāļžāļķāļ‡āļ›āļĢāļ°āļŠāļ‡āļ„āđŒāļ”āđ‰āļēāļ™āļ„āļļāļ“āļ˜āļĢāļĢāļĄ āļˆāļĢāļīāļĒāļ˜āļĢāļĢāļĄāļ‚āļ­āļ‡āļ™āļąāļāļĻāļķāļāļĐāļē āđ€āļžāļ·āđˆāļ­āļĻāļķāļāļĐāļēāļāļēāļĢāđ€āļ›āļĨāļĩāđˆāļĒāļ™āđāļ›āļĨāļ‡āļĢāļ°āļĒāļ°āļĒāļēāļ§āļ‚āļ­āļ‡āļĢāļ°āļ”āļąāļšāļ„āļļāļ“āļ˜āļĢāļĢāļĄ āļˆāļĢāļīāļĒāļ˜āļĢāļĢāļĄāļ‚āļ­āļ‡āļ™āļąāļāļĻāļķāļāļĐāļē āđāļĨāļ°āđ€āļžāļ·āđˆāļ­āļĻāļķāļāļĐāļēāļšāļ—āļšāļēāļ—āđƒāļ™āļāļēāļĢāļžāļąāļ’āļ™āļēāļ”āđ‰āļēāļ™āļ„āļļāļ“āļ˜āļĢāļĢāļĄ āļˆāļĢāļīāļĒāļ˜āļĢāļĢāļĄāļ‚āļ­āļ‡āļ™āļąāļāļĻāļķāļāļĐāļē āļāļĨāļļāđˆāļĄāļ•āļąāļ§āļ­āļĒāđˆāļēāļ‡āļ„āļ·āļ­ āļ™āļąāļāļĻāļķāļāļĐāļē āļˆāļģāļ™āļ§āļ™ 573 āļ„āļ™ āđ‚āļ”āļĒāļāļēāļĢāđ€āļĨāļ·āļ­āļāļāļĨāļļāđˆāļĄāļ•āļąāļ§āļ­āļĒāđˆāļēāļ‡āđāļšāļšāļŦāļĨāļēāļĒāļ‚āļąāđ‰āļ™āļ•āļ­āļ™ āđ€āļ„āļĢāļ·āđˆāļ­āļ‡āļĄāļ·āļ­āđƒāļ™āļāļēāļĢāđ€āļāđ‡āļšāļĢāļ§āļšāļĢāļ§āļĄāļ‚āđ‰āļ­āļĄāļđāļĨāđ„āļ”āđ‰āđāļāđˆ āđāļšāļšāļŠāļ­āļšāļ–āļēāļĄāđāļšāđˆāļ‡āļ­āļ­āļāđ€āļ›āđ‡āļ™ 3 āļ•āļ­āļ™āļ„āļ·āļ­ āļŠāļ­āļšāļ–āļēāļĄāļ‚āđ‰āļ­āļĄāļđāļĨāļ—āļąāđˆāļ§āđ„āļ› āļŠāļ­āļšāļ–āļēāļĄāļŠāļģāļŦāļĢāļąāļšāļ§āļąāļ”āļĢāļ°āļ”āļąāļšāļ„āļļāļ“āļ˜āļĢāļĢāļĄ āļˆāļĢāļīāļĒāļ˜āļĢāļĢāļĄāļ—āļĩāđˆāļ„āļ§āļĢāđ€āļāđ‰āļēāļĢāļ°āļ§āļąāļ‡ āđāļĨāļ°āļŠāļ­āļšāļ–āļēāļĄāđ€āļāļĩāđˆāļĒāļ§āļāļąāļšāļāļēāļĢāļžāļąāļ’āļ™āļēāļ„āļļāļ“āļ˜āļĢāļĢāļĄ āļˆāļĢāļīāļĒāļ˜āļĢāļĢāļĄ āļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļ‚āđ‰āļ­āļĄāļđāļĨāđ‚āļ”āļĒāļāļēāļĢāļŦāļēāļ„āđˆāļēāļ„āļ§āļēāļĄāļ–āļĩāđˆ āļĢāđ‰āļ­āļĒāļĨāļ° āļāļēāļĢāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āđāļšāļšāļ§āļąāļ”āļ‹āđ‰āļģ āđāļĨāļ°āļāļēāļĢāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļĨāđ‰āļ­āļĄāļāļĢāļ­āļšāļ‚āđ‰āļ­āļĄāļđāļĨ āļŠāļĢāļļāļ›āļœāļĨāļāļēāļĢāļ§āļīāļˆāļąāļĒāļ›āļĢāļēāļāļāļœāļĨāļ”āļąāļ‡āļ™āļĩāđ‰ 1. āļœāļĨāļāļēāļĢāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļ‚āđ‰āļ­āļĄāļđāļĨāļĢāļ°āļ”āļąāļšāļ„āļļāļ“āļ˜āļĢāļĢāļĄ āļˆāļĢāļīāļĒāļ˜āļĢāļĢāļĄāļ‚āļ­āļ‡āļ™āļąāļāļĻāļķāļāļĐāļēāļĄāļŦāļēāļ§āļīāļ—āļĒāļēāļĨāļąāļĒāļĢāļēāļŠāļ āļąāļāļŠāđˆāļ§āļ‡āđ€āļ”āļ·āļ­āļ™āļāļĢāļāļŽāļēāļ„āļĄ 2563 āđāļĨāļ°āđ€āļ”āļ·āļ­āļ™āļ•āļļāļĨāļēāļ„āļĄ 2563 āļžāļšāļ§āđˆāļē 1.1 āļ„āđˆāļēāđ€āļ‰āļĨāļĩāđˆāļĒāļ‚āļ­āļ‡āļ•āļąāļ§āļšāđˆāļ‡āļŠāļĩāđ‰āļ„āļ§āļēāļĄāļ‹āļ·āđˆāļ­āļŠāļąāļ•āļĒāđŒāļŠāļļāļˆāļĢāļīāļ•āļĄāļĩāļ„āđˆāļēāđ€āļ—āđˆāļēāļāļąāļš 3.25 āđāļĨāļ° 3.25 āļ„āļ°āđāļ™āļ™ āļ•āļēāļĄāļĨāļģāļ”āļąāļš āļāļēāļĢāļ§āļąāļ”āļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āļ—āļąāđ‰āļ‡ 2 āļ„āļĢāļąāđ‰āļ‡āļžāļšāļ§āđˆāļē āļāļēāļĢāļ§āļąāļ”āđƒāļ™āļŠāđˆāļ§āļ‡āđ€āļ”āļ·āļ­āļ™āļāļĢāļāļŽāļēāļ„āļĄ 2563 āđāļĨāļ°āļ•āļļāļĨāļēāļ„āļĄ 2563 āļĄāļĩāļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āđ€āļ—āđˆāļēāļāļąāļ™āļ—āļąāđ‰āļ‡ 2 āļ„āļĢāļąāđ‰āļ‡ (C.V.(%) = .17) 1.2 āļ„āđˆāļēāđ€āļ‰āļĨāļĩāđˆāļĒāļ‚āļ­āļ‡āļ•āļąāļ§āļšāđˆāļ‡āļŠāļĩāđ‰āļ„āļ§āļēāļĄāļĄāļĩāļŠāļ•āļīāļŠāļąāļĄāļ›āļŠāļąāļāļāļ°āļĄāļĩāļ„āđˆāļēāđ€āļ—āđˆāļēāļāļąāļš 3.00 āđāļĨāļ° 2.99 āļ„āļ°āđāļ™āļ™ āļ•āļēāļĄāļĨāļģāļ”āļąāļš āļāļēāļĢāļ§āļąāļ”āļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āļ—āļąāđ‰āļ‡ 2 āļ„āļĢāļąāđ‰āļ‡āļžāļšāļ§āđˆāļē āļāļēāļĢāļ§āļąāļ”āđƒāļ™āļŠāđˆāļ§āļ‡āđ€āļ”āļ·āļ­āļ™āļāļĢāļāļŽāļēāļ„āļĄ 2563 āđāļĨāļ°āļ•āļļāļĨāļēāļ„āļĄ 2563 āļĄāļĩāļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āđ€āļ—āđˆāļēāļāļąāļ™āļ—āļąāđ‰āļ‡ 2 āļ„āļĢāļąāđ‰āļ‡āļĄāļĩāļ„āđˆāļēāđƒāļāļĨāđ‰āđ€āļ„āļĩāļĒāļ‡āļāļąāļ™ (C.V.(%) = .13, .14) 1.3 āļ„āđˆāļēāđ€āļ‰āļĨāļĩāđˆāļĒāļ‚āļ­āļ‡āļ•āļąāļ§āļšāđˆāļ‡āļŠāļĩāđ‰āļ„āļ§āļēāļĄāļĢāļąāļšāļœāļīāļ”āļŠāļ­āļšāļĄāļĩāļ„āđˆāļēāđ€āļ—āđˆāļēāļāļąāļš 3.38 āđāļĨāļ° 3.38 āļ„āļ°āđāļ™āļ™ āļ•āļēāļĄāļĨāļģāļ”āļąāļš āļˆāļēāļāļāļēāļĢāļ§āļąāļ”āļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āļ—āļąāđ‰āļ‡ 2 āļ„āļĢāļąāđ‰āļ‡āļžāļšāļ§āđˆāļē āļāļēāļĢāļ§āļąāļ”āđƒāļ™āļŠāđˆāļ§āļ‡āđ€āļ”āļ·āļ­āļ™āļāļĢāļāļŽāļēāļ„āļĄ 2563 āđāļĨāļ°āļ•āļļāļĨāļēāļ„āļĄ 2563 āļĄāļĩāļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āļ—āļąāđ‰āļ‡ 2 āļ„āļĢāļąāđ‰āļ‡āđƒāļāļĨāđ‰āđ€āļ„āļĩāļĒāļ‡āļāļąāļ™ (C.V.(%) = .45, .47) 1.4 āļ„āđˆāļēāđ€āļ‰āļĨāļĩāđˆāļĒāļ‚āļ­āļ‡āļ•āļąāļ§āļšāđˆāļ‡āļŠāļĩāđ‰āļ§āļąāļ”āļ„āļ§āļēāļĄāļĒāļļāļ•āļīāļ˜āļĢāļĢāļĄāļĄāļĩāļ„āđˆāļēāđ€āļ—āđˆāļēāļāļąāļš 3.41 āđāļĨāļ° 3.41 āļ„āļ°āđāļ™āļ™ āļ•āļēāļĄāļĨāļģāļ”āļąāļš āļāļēāļĢāļ§āļąāļ”āļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āļ—āļąāđ‰āļ‡ 2 āļ„āļĢāļąāđ‰āļ‡āļžāļšāļ§āđˆāļē āļāļēāļĢāļ§āļąāļ”āđƒāļ™āļŠāđˆāļ§āļ‡āđ€āļ”āļ·āļ­āļ™āļāļĢāļāļŽāļēāļ„āļĄ 2563 āđāļĨāļ°āļ•āļļāļĨāļēāļ„āļĄ 2563 āļĄāļĩāļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āđ€āļ—āđˆāļēāļāļąāļ™āļ—āļąāđ‰āļ‡ 2 āļ„āļĢāļąāđ‰āļ‡āđƒāļāļĨāđ‰āđ€āļ„āļĩāļĒāļ‡āļāļąāļ™ (C.V.(%) = .17, .18) 1.5 āļ„āđˆāļēāđ€āļ‰āļĨāļĩāđˆāļĒāļ‚āļ­āļ‡āļ•āļąāļ§āļšāđˆāļ‡āļŠāļĩāđ‰āļ„āļ§āļēāļĄāļ‚āļĒāļąāļ™āļŦāļĄāļąāđˆāļ™āđ€āļžāļĩāļĒāļĢāļĄāļĩāļ„āđˆāļēāđ€āļ—āđˆāļēāļāļąāļš 3.12 āđāļĨāļ° 3.12 āļ„āļ°āđāļ™āļ™ āļ•āļēāļĄāļĨāļģāļ”āļąāļš āļāļēāļĢāļ§āļąāļ”āļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āļ—āļąāđ‰āļ‡ 2 āļ„āļĢāļąāđ‰āļ‡āļžāļšāļ§āđˆāļē āļāļēāļĢāļ§āļąāļ”āđƒāļ™āļŠāđˆāļ§āļ‡āđ€āļ”āļ·āļ­āļ™āļāļĢāļāļŽāļēāļ„āļĄ 2563 āđāļĨāļ°āļ•āļļāļĨāļēāļ„āļĄ 2563 āļĄāļĩāļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āđ€āļ—āđˆāļēāļāļąāļ™ (C.V.(%) = .47)1.6 āļ„āđˆāļēāđ€āļ‰āļĨāļĩāđˆāļĒāļ‚āļ­āļ‡āļ•āļąāļ§āļšāđˆāļ‡āļŠāļĩāđ‰āļ„āļ§āļēāļĄāļĄāļĩāļ§āļīāļ™āļąāļĒāļĄāļĩāļ„āđˆāļēāđ€āļ—āđˆāļēāļāļąāļš 3.34 āđāļĨāļ° 3.36 āļ„āļ°āđāļ™āļ™ āļ•āļēāļĄāļĨāļģāļ”āļąāļš āļāļēāļĢāļ§āļąāļ”āļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āļ—āļąāđ‰āļ‡ 2 āļ„āļĢāļąāđ‰āļ‡ āļžāļšāļ§āđˆāļēāļāļēāļĢāļ§āļąāļ”āđƒāļ™āļŠāđˆāļ§āļ‡āđ€āļ”āļ·āļ­āļ™āļāļĢāļāļŽāļēāļ„āļĄ 2563 āđāļĨāļ°āļ•āļļāļĨāļēāļ„āļĄ 2563 āļĄāļĩāļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āđƒāļāļĨāđ‰āđ€āļ„āļĩāļĒāļ‡āļāļąāļ™ (C.V.(%) = .44, .45) 1.7 āļ„āđˆāļēāđ€āļ‰āļĨāļĩāđˆāļĒāļ‚āļ­āļ‡āļ•āļąāļ§āļšāđˆāļ‡āļŠāļĩāđ‰āļ„āļ§āļēāļĄāļ­āļ”āļ—āļ™āļĄāļĩāļ„āđˆāļēāđ€āļ—āđˆāļēāļāļąāļš 3.15 āđāļĨāļ° 3.14 āļ„āļ°āđāļ™āļ™ āļ•āļēāļĄāļĨāļģāļ”āļąāļš āļāļēāļĢāļ§āļąāļ”āļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āļ—āļąāđ‰āļ‡ 2 āļ„āļĢāļąāđ‰āļ‡āļžāļšāļ§āđˆāļē āļāļēāļĢāļ§āļąāļ”āđƒāļ™āļŠāđˆāļ§āļ‡āđ€āļ”āļ·āļ­āļ™āļāļĢāļāļŽāļēāļ„āļĄ 2563 āđāļĨāļ°āļ•āļļāļĨāļēāļ„āļĄ 2563 āļĄāļĩāļ„āļ§āļēāļĄāđāļ›āļĢāļ›āļĢāļ§āļ™āļŠāļđāļ‡āļŠāļļāļ”āđƒāļāļĨāđ‰āđ€āļ„āļĩāļĒāļ‡āļāļąāļ™āļ„āļ·āļ­ (C.V.(%) = .45, .47) 2. āđāļ™āļ§āđ‚āļ™āđ‰āļĄāļāļēāļĢāđ€āļ›āļĨāļĩāđˆāļĒāļ™āđāļ›āļĨāļ‡āļ•āļąāļ§āļšāđˆāļ‡āļŠāļĩāđ‰āļ„āļļāļ“āļ˜āļĢāļĢāļĄ āļˆāļĢāļīāļĒāļ˜āļĢāļĢāļĄāļ—āļąāđ‰āļ‡ 7 āļ•āļąāļ§āđ€āļ›āđ‡āļ™āđ€āļŠāđ‰āļ™āļ•āļĢāļ‡ āđāļĨāļ°āļĄāļĩāđāļ™āļ§āđ‚āļ™āđ‰āļĄāļāļēāļĢāđ€āļ›āļĨāļĩāđˆāļĒāļ™āđāļ›āļĨāļ‡āļ„āđˆāļēāđ€āļ‰āļĨāļĩāđˆāļĒāđ€āļ›āđ‡āļ™āļ”āļąāļ‡āļ™āļĩāđ‰ 2.1 āļ•āļąāļ§āļšāđˆāļ‡āļŠāļĩāđ‰āļ—āļĩāđˆāļĄāļĩāđāļ™āļ§āđ‚āļ™āđ‰āļĄāļāļēāļĢāđ€āļ›āļĨāļĩāđˆāļĒāļ™āđāļ›āļĨāļ‡āđ€āļ—āđˆāļēāđ€āļ”āļīāļĄāļ„āļ·āļ­ āļ„āļ§āļēāļĄāļĢāļąāļšāļœāļīāļ”āļŠāļ­āļš 2.2 āļ•āļąāļ§āļšāđˆāļ‡āļ—āļĩāđˆāļĄāļĩāđāļ™āļ§āđ‚āļ™āđ‰āļĄāļāļēāļĢāđ€āļ›āļĨāļĩāđˆāļĒāļ™āđāļ›āļĨāļ‡āđ€āļžāļīāđˆāļĄāļ‚āļķāđ‰āļ™āļ„āļ·āļ­ āļ„āļ§āļēāļĄāļ‹āļ·āđˆāļ­āļŠāļąāļ•āļĒāđŒāļŠāļļāļˆāļĢāļīāļ• āļ„āļ§āļēāļĄāļ‚āļĒāļąāļ™āļŦāļĄāļąāđˆāļ™āđ€āļžāļĩāļĒāļĢ āđāļĨāļ°āļ„āļ§āļēāļĄāļĄāļĩāļ§āļīāļ™āļąāļĒ 2.3 āļ•āļąāļ§āļšāđˆāļ‡āļŠāļĩāđ‰āļ—āļĩāđˆāļĄāļĩāđāļ™āļ§āđ‚āļ™āđ‰āļĄāļāļēāļĢāđ€āļ›āļĨāļĩāđˆāļĒāļ™āđāļ›āļĨāļ‡āļĨāļ”āļĨāļ‡āļˆāļēāļāđ€āļ”āļīāļĄāļ„āļ·āļ­ āļ„āļ§āļēāļĄāļĄāļĩāļŠāļ•āļīāļŠāļąāļĄāļ›āļŠāļąāļāļāļ° āļ„āļ§āļēāļĄāļĒāļļāļ•āļīāļ˜āļĢāļĢāļĄ āđāļĨāļ°āļ„āļ§āļēāļĄāļ­āļ”āļ—āļ™ 3. āļœāļĨāļāļēāļĢāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļšāļ—āļšāļēāļ—āđƒāļ™āļāļēāļĢāļžāļąāļ’āļ™āļēāļ„āļļāļ“āļ˜āļĢāļĢāļĄ āļˆāļĢāļīāļĒāļ˜āļĢāļĢāļĄāđƒāļ™āļĢāļ°āļ”āļąāļšāļ•āļ™āđ€āļ­āļ‡ āļĢāļ°āļ”āļąāļšāļ„āļĢāļ­āļšāļ„āļĢāļąāļ§āđāļĨāļ°āļĢāļ°āļ”āļąāļšāļŠāļąāļ‡āļ„āļĄāļžāļšāļ§āđˆāļē āļ„āđˆāļēāļ„āļ§āļēāļĄāļ–āļĩāđˆāđāļĨāļ°āļĢāđ‰āļ­āļĒāļĨāļ°āđ€āļĢāļĩāļĒāļ‡āļ•āļēāļĄāļĨāļģāļ”āļąāļšāļ„āļ§āļēāļĄāļŠāļģāļ„āļąāļāļ‚āļ­āļ‡āļšāļ—āļšāļēāļ—āđƒāļ™āļāļēāļĢāļžāļąāļ’āļ™āļēāļ„āļļāļ“āļ˜āļĢāļĢāļĄ āļˆāļĢāļīāļĒāļ˜āļĢāļĢāļĄāđƒāļ™āļĢāļ°āļ”āļąāļšāļ•āļ™āđ€āļ­āļ‡āļĄāļēāļāļ—āļĩāđˆāļŠāļļāļ”āļ„āļ·āļ­ āļāļēāļĢāļ­āļšāļĢāļĄāļŠāļąāđˆāļ‡āļŠāļ­āļ™āļˆāļēāļāļžāđˆāļ­āđāļĄāđˆāļ„āļīāļ”āđ€āļ›āđ‡āļ™āļĢāđ‰āļ­āļĒāļĨāļ° 47.295 āļĢāļ­āļ‡āļĨāļ‡āļĄāļēāļ„āļ·āļ­ āļāļēāļĢāđ€āļ‚āđ‰āļēāđ„āļ›āļĻāļķāļāļĐāļēāđƒāļ™āļ­āļīāļ™āđ€āļ—āļ­āļĢāđŒāđ€āļ™āđ‡āļ• āļ„āļīāļ”āđ€āļ›āđ‡āļ™āļĢāđ‰āļ­āļĒāļĨāļ° 20.268   āļ„āļģāļŠāļģāļ„āļąāļ: āļ„āļļāļ“āļ˜āļĢāļĢāļĄ  āļˆāļĢāļīāļĒāļ˜āļĢāļĢāļĄ  āļ™āļąāļāļĻāļķāļāļĐāļē  āļĒāļļāļ„āļ§āļīāļ–āļĩāđƒāļŦāļĄāđˆThis research aims to assess the desirable characteristics of morality and ethics in students. This will enable us to understand long-term changes in the students’ moral and ethical levels. The sample consisted of 573 students through multi-stage random sampling. The questionnaire is divided into three parts: general inquiries, moral and ethics measurement, and moral and ethical development. The data analysis includes finding frequency, percentage, analysis of variance, repeating measure ANOVA, and data envelopment analysis. The research results are as follows: 1. The analysis of morality and ethics of Rajabhat University students during July 2020 and October 2020 found that 1.1 The mean of the Integrity Indicator was 3.25 and 3.25, respectively. Both measurements of the variance showed that the measurements between July 2020 and October 2020 had the same variance on both occasions (CV(%) = .17) 1.2 The mean values of the indicators of consciousness were 3.00 and 2.99, respectively. Both variance measurements found that the measurements during July 2020 and October 2020 had the same variance, both times with similar values (CV(%) = .13, .14). 1.3 The mean of responsibility indicators was 3.38 and 3.38, respectively. From both variance measurements, it was found that the two measurements from July 2020 and October 2020 had similar variations (CV(%) = .45, .47).1.4 The mean values of the fairness indicators were equal to 3.41 and 3.41, respectively. Both variance measurements found that the two measurements from July 2020 and October 2020 had similar variance (CV(%) = .17, .18). 1.5 The mean persistence indicators were 3.12 and 3.12, respectively. Both variance measurements showed that the measurements during July 2020 and October 2020 had the same variance (CV(%) = .47). 1.6 The mean of the Discipline Indicator was 3.34 and 3.36, respectively. Both variance measurements found that the measurements during July 2020 and October 2020 had similar variance (CV (%) = .44, .45). 1.7 The mean values of the tolerance indicators were 3.15 and 3.14, respectively. Both variance measurements found that the measurements during July 2020 and October 2020 had the same maximum variance (CV(%). = .45, .47). 2. Trends for changing the seven moral and ethical indicators in a straight line are likely to change the mean as follows: 2.1 Indicators with the same change trend are responsibility. 2.2 Indicators with an increasing trend are honesty, perseverance, and discipline. 2.3 Indicators with a downward trend are consciousness, justice, and patience. 3. The analysis of the role in moral development. Ethics at the self, family, and social levels frequency and percentage values are arranged in order of importance of moral development. Ethics at self-level is highest through parent teaching at 47.295 percent, followed by internet study, which accounted for 20.268 percent.   Keywords: Moral, Ethics, Student, New norma

    Analyzing gender inequality through large-scale Facebook advertising data

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    Online social media are information resources that can have a transformative power in society. While the Web was envisioned as an equalizing force that allows everyone to access information, the digital divide prevents large amounts of people from being present online. Online social media in particular are prone to gender inequality, an important issue given the link between social media use and employment. Understanding gender inequality in social media is a challenging task due to the necessity of data sources that can provide large-scale measurements across multiple countries. Here we show how the Facebook Gender Divide (FGD), a metric based on aggregated statistics of more than 1.4 Billion users in 217 countries, explains various aspects of worldwide gender inequality. Our analysis shows that the FGD encodes gender equality indices in education, health, and economic opportunity. We find gender differences in network externalities that suggest that using social media has an added value for women. Furthermore, we find that low values of the FGD are associated with increases in economic gender equality. Our results suggest that online social networks, while suffering evident gender imbalance, may lower the barriers that women have to access informational resources and help to narrow the economic gender gap

    Mobile Glaucoma Detection Application

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    Glaucoma is a debilitating optical degeneration disease that can lead to vision loss and eventually blindness. Given its asymptomatic nature, most people with Glaucoma aren’t even aware that they have the disease. As a result, the disease is often left untreated until it is too late. Detecting the presence of Glaucoma is one of the most important steps in treating Glaucoma, but is unfortunately also the most difficult to enforce. The Mobile Glaucoma Detection application aims to reduce the growing number of individuals who are unaware that they have Glaucoma by providing a simple detection mechanism to notify users if they are at risk. The system does this by enabling its users to independently conduct Tonometry exams through the application. Tonometry examinations allow doctors to determine if the intra-ocular pressure levels in a person’s eyes put them at risk for Glaucoma. The M.G.D.A(Mobile Glaucoma Detection Application) allows users to determine their intra-ocular pressure levels from the comfort of their own home via a special contact lens paired with a smartphone application. The system also offers users the opportunity to monitor, regulate, and track their use and progress through the system

    Automated Discovery of Internet Censorship by Web Crawling

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    Censorship of the Internet is widespread around the world. As access to the web becomes increasingly ubiquitous, filtering of this resource becomes more pervasive. Transparency about specific content that citizens are denied access to is atypical. To counter this, numerous techniques for maintaining URL filter lists have been proposed by various individuals and organisations that aim to empirical data on censorship for benefit of the public and wider censorship research community. We present a new approach for discovering filtered domains in different countries. This method is fully automated and requires no human interaction. The system uses web crawling techniques to traverse between filtered sites and implements a robust method for determining if a domain is filtered. We demonstrate the effectiveness of the approach by running experiments to search for filtered content in four different censorship regimes. Our results show that we perform better than the current state of the art and have built domain filter lists an order of magnitude larger than the most widely available public lists as of Jan 2018. Further, we build a dataset mapping the interlinking nature of blocked content between domains and exhibit the tightly networked nature of censored web resources

    Impact of a Web-Based Exercise and Nutritional Education Intervention in Patients Who Are Obese With Hypertension: Randomized Wait-List Controlled Trial

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    Background: Internet-based interventions are a promising strategy for promoting healthy lifestyle behaviors. These have a tremendous potential for delivering electronic health interventions in scalable and cost-effective ways. There is strong evidence that the use of these programs can lead to weight loss and can lower patients’ average blood pressure (BP) levels. So far, few studies have investigated the effects of internet-based programs on patients who are obese with hypertension (HTN). Objective: The aim of this study is to investigate the short- and long-term efficacy, in terms of body composition and BP parameters, of a self-administered internet-based intervention involving different modules and learning techniques aimed at promoting lifestyle changes (both physical activity and healthy eating) in patients who are obese with HTN. Methods: A randomized wait-list controlled trial design was used. We recruited 105 adults with HTN who were overweight or obese and randomly assigned them to either a 3-month internet-based intervention group (n=55) or the wait-list control group (n=50). We assessed BMI (primary outcome), body fat mass (BFM), systolic (S)BP and diastolic (D)BP, blood glucose and insulin levels, physical activity levels, and functional capacity for aerobic exercise at Time 0 (preintervention) and Time 1 (postintervention). All the patients in the wait-list control group subsequently received the intervention, and a secondary within-group analysis, which also included these participants, was conducted at Time 2 (12-month follow-up). Results: A 2-way mixed analysis of covariance showed a significant decrease in BMI, BFM, and blood glucose at 3 months in the internet-based intervention group; the effect size for the BMI and BFM parameters was moderate to large, and there was also a borderline significant trend for DBP and insulin. These results were either maintained or improved upon at Time 2 and showed significant changes for BMI (mean difference −0.4, 95% CI −0.1 to −0.6; P=.005), BFM (mean difference −2.4, 95% CI −1.1 to −3.6; P<.001), DBP (mean difference −1.8, 95% CI −0.2 to −3.3; P=.03), and blood glucose (mean difference −2, 95% CI 0 to −4; P=.04). Conclusions: Implementation of our self-administered internet-based intervention, which involved different learning techniques aimed to promote lifestyle changes, resulted in positive short- and long-term health benefits in patients who are obese with HTN

    Information sources in Kosovo – traditional media vs. new media

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    The information in the digital era has become diverse and redundant. The individual in society gets hundreds and thousands of messages in different ways and channels of communication, but at the end of the day, they remember the most important ones. In modern times, the Internet era, the spread of diverse information has become an easy job. Different editors often share information with no public value, but with private matter for the individual who shares it. Today, this is possible through the internet where individuals have their accounts of social networks. To possess a Facebook site today is like having a personal media or having a newspaper. There are newspapers, which do not sell more than 500 pieces a day, while on the other hand an overwhelming number of individuals have thousands of friends on Facebook, meaning that many individuals today manage personal media with a larger audience than a newspaper. Therefore, this means that the concept of media is transformed today. It is another matter if all relevant information that circulates presents importance and interest for the individual. Today the information spreads in the new media without any cost, without any delay and without any controlling filter for truthiness and ethics of that message. Another question that arises is from who are individuals informed today in our society in transition, what are they informed about and what is the role of the media in this regard? Precisely these are the goals of the study "Information sources in Kosovo - traditional media vs. new media." The study aims to address this untreated problem, although it has been a long time since individuals use the new media, while youth is the biggest consumer and spends a few hours a day there. The distinguish done in the traditional media and new media is more of a conventional distinguish, because these media in the Internet era find converging channel and day-to-day the traditional media adapt, transform, and survive, although individuals tend more after new media to a variety of reasons

    A randomised feasibility study of serial magnetic resonance imaging to reduce treatment times in Charcot neuroarthropathy in people with diabetes (CADOM): A protocol

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    Background Charcot neuroarthropathy is a complication of peripheral neuropathy associated with diabetes which most frequently affects the lower limb. It can cause fractures and dislocations within the foot, which may progress to deformity and ulceration. Recommended treatment is immobilisation and offloading, with a below knee non-removable cast or boot. Duration of treatment varies from six months to more than one year. Small observational studies suggest that repeated assessment with Magnetic Resonance Imaging improves decision making about when to stop treatment, but this has not been tested in clinical trials. This study aims to explore the feasibility of using serial Magnetic Resonance Imaging without contrast in the monitoring of Charcot neuroarthropathy to reduce duration of immobilisation of the foot. A nested qualitative study aims to explore participants’ lived experience of Charcot neuroarthropathy and of taking part in the feasibility study. Methods We will undertake a two arm, open study, and randomise 60 people with a suspected or confirmed diagnosis of Charcot neuroarthropathy from five NHS, secondary care multidisciplinary Diabetic Foot Clinics across England. Participants will be randomised 1:1 to receive Magnetic Resonance Imaging at baseline and remission up to 12 months, with repeated foot temperature measurements and x-rays (standard care plus), or standard care plus with additional three-monthly Magnetic Resonance Imaging until remission up to 12 months (intervention). Time to confirmed remission of Charcot neuroarthropathy with off-loading treatment (days) and its variance will be used to inform sample size in a full-scale trial. We will look for opportunities to improve the protocols for monitoring techniques and the clinical, patient centred, and health economic measures used in a future study. For the nested qualitative study, we will invite a purposive sample of 10-14 people able to offer maximally varying experiences from the feasibility study to take part in semi-structured interviews to be analysed using thematic analysis. Discussion The study will inform the decision whether to proceed to a full-scale trial. It will also allow deeper understanding of the lived experience of Charcot neuroarthropathy, and factors that contribute to engagement in management and contribute to the development of more effective patient centred strategies. Trial registration ISRCTN, ISRCTN, 74101606. Registered on 6 November 2017, http://www.isrctn.com/ISRCTN74101606?q=CADom&filters=&sort=&offset=1&totalResults=1&page=1&pageSize=10&searchType=basic-searc
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