bluuebunny/crossref_metadata_2025 huggingface dataset:
Internet of Things: From applications, challenges and standardization to Industry implementations
Authors: Krasniqi Xhafer
Published: January 2019

The Internet of Things that is defined as anything that can be accessible anytime and anywhere provides connectivity to different objects and sensors around us and which will enable the transfer of different data between these objects and devices. A thing in the Internet of Things can be any natural or man-made object that can be assigned an IP address with a capability to exchange date over a network. There is a huge number of applications of IoT to benefit users, such as health monitors, smart homes, connected cars etc.

If everything around us is connected and information about these things that can contain sensitive information, e.g. health and other personal information, are collected then these networks become very important and must be able to provide a proper security and privacy. It is believed that by 2020 there will be over 50 billion things that could be connected to Internet.

Internet of things are very much associated with M2M (machine to machine communication) that is identified as a technology that makes objects smart, like smart homes, smart utility meters etc. M2M actually is considered to be a subset of IoT and which is mainly used for difficult and dangerous tasks, e.g. nuclear plants, etc. The deployment of IoT has already started and is expected to transform the way we live. According to Gartner, a technology research company, the Internet of Things has just reached the deployment stage by early adopters and the full deployment is expected in over ten years. From an industry angle, this paper will examine the market and technical trends of Internet of Things, main applications that will be supported by this technology, key issues and challenges faced by the industry, standards activities around IoT and finally the implementation landscape.
Testing the martingales property of daily exchange rate
Authors: Liko Rozana , Kashuri Artion , Ramosaco Miftar
Published: January 2019

The purpose of this paper is to test whether the Albanian exchange rate market is weak form efficient by studying the statistical behavior of daily Euro and USD exchange rate against Albanian Lekё, which are the most influential currency in Albania market, during the period January 05, 2010 – April 30, 2015. The study seeks to examine whether this currencies follow each a martingale. The unit root tests (individually and panel) and variation ratio test are used. The various analytical tests implemented in the study provide evidence of non-martingale property of exchange market in Albania.
The impact of budget deficit on inflation an econometric approach for the period 1994 – 2012
Authors: Gjeci Ardit , Hysa Juljan
Published: January 2019

The aim of research is to define and explain a relation between macroeconomic indicators such as the budget deficit and inflation. Under consideration is taken the period between 1994 – 2012, a period which has had an intensity and greater attention by the internationals in terms of performance of the economy. The paper studies these indicators mainly through econometric model, by considering indicators a function of each other. Main hypothesis of this research is: “If we increase the budget deficit and money supply, the rate of inflation is expected to increase." Based on the inflation model only in relation with money supply, it results a positive results, this only for the money supply with a dynamic delay of 1. The opposite dynamic results without delay. In the extended model of inflation, its connection with the budget deficit, not only comes out as negative, but the level of determination for this relationship is very low. This has no theoretical consistency and, most importantly, is a very unclear link between these two indicators.
建筑工程中的施工技术资料编制及竣工资料的归档管理
Authors: 王 红
Published: January 2019

近年来，经济的快速发展带动工程建设迈上了新的阶梯。然而随着建筑工程的逐渐增多，其面临的问题也日益 严峻，尤其是在安全和质量方面。通过对建筑工程项目的建设过程进行综合分析发现，施工技术资料的编制以及竣工 资料的归档管理不规范是引发安全和质量问题的关键因素。只有完善工程技术资料的管理过程，才能保证建筑工程质 量，提高建设水平。
智能化技术在电气工程自动化控制中的应用探讨
Authors: 蒋 元木
Published: January 2019

在电气工程领域中，电气工程自动化控制技术得以广泛应用。近年来，智能化技术的发展，电气工程自动化运行 中引入智能化技术，使得电气工程自动化技术得到了升级，不仅自动化控制效率有所提高，而且还起到了一定的保护 作用，特别是对电路发挥有效的控制作用，可以在一定程度上避免设备损坏。因此针对智能化技术在电气工程自动化 控制中的应用进行研究。
#1、#2机组快切技术改造应用
Authors: 成 丽波
Published: January 2019

保持电力系统的稳定运行，对供电企业本身及社会具有重要意义。快速切换装置作为保障电厂正常生产的重要技 术措施，确保其在电厂中合理、有效的应用尤为必要,既要保证故障情况下快速准确动作，又要满足减少外购下网电量 节能要求。由于每个电厂母线所带的负荷情况不同，相应的快速切换装置使用的具体情况也是千差万别，本为适用于 火电机组采用单元接线，未配置启备变，厂用电采用两台机组互为备用接线方式。为了保证厂用电快切装置的应用是 有效的、合理的，本文笔者在下文中就常厂用电快切装置的工作原理及应用中需要注意的问题进行探讨，希望对于提 高厂用电快切装置的应用起到一定作用。
以设施标准化为抓手-促施工项目高效化管理
Authors: 芦 建芬
Published: January 2019

随着施工管理在新时期、新形式、新理念、新措施的不断推动下，施工标准化建设对建筑业的创新和施工企业的 发展显得尤为重要，而推广工具化、定型化、标准化工具和设施是提升施工管理高效的重要手段，是深化企业CIS，提 升施工项目质量安全管理、文明施工水平的重要体现。
道路工程高边坡防护技术与施工分析
Authors: 严 勇
Published: January 2019

在市政工程建设中，道路工作为最为基础的一项工程其不管是施工进度或是施工质量都得到了人们高度的关注， 由此，对于施工单位来说，如何来更好的提高施工技术水平就显得非常重要，但是在实际的道路工程施工中，因为施 工环境本身就非常复杂，而且施工过程中也容易受到外在因素的影响，所以使得工程难度有了很大提高，尤其是对于 高边坡或者高路基等施工阶段，因为其本身土质的问题，所以导致施工过程也是非常重要和复杂，而对于这段工程的 施工可以说直接关系着公路工程的整体施工质量，所以在实际的工程施工中，怎样对高边坡施工阶段的防护技术进行 有效的施工和控制，成为了道路工程施工中最为重要的施工内容之一。
高速铁路营业线“四电”施工准备阶段安全和质量管控措施研究
Authors: 李 磊磊
Published: January 2019

自2003年10月12日我国第一条准高铁秦沈客运专线开通运营以来，高速铁路建设发展迅猛，仅2018年新增高铁营 业里程约2500公里，截止2018年底我国高铁营业里程将达到2.9万公里。早期建设的高速铁路有部分线路面临大修，或 者既有中间站接入新线改造。目前我国的高速铁路运营维护也在一步步实践探索中，目前还没有实施过完整的既有高 速铁路站改工程。高速铁路营业线“四电”工程施工工程量大、工序繁琐、技术复杂、交叉施工环节多、牵涉面广、 协作关系众多、安全风险大、施工现场安全质量控制难度大。本文借鉴普速铁路站改和高速铁路运营经验，来探讨高 速铁路营业线“四电”工程的安全和质量管控。
精细化工农药设备管理的发展问题研究
Authors: 陈 方良
Published: January 2019

现如今，我国的精细化工销售额已经位于世界前三名，同时，我国还是全球最大的涂料以及染料出产国，农药生 产则位于世界第二。为了使我国经济发展速度得到更加有效的保障，使我国经济水平不断提高，应当加强精细化工生 产过程中的设备管理。在精细化工生产中，设备管理是非常重要的一项工作内容，只有加强对精细化工设备的管理， 才能确保精细化工生产的顺利进行，才能促进我国精细化工产业的不断发展与进步。本文就对当下我国精细化工产业 的设备管理情况进行分析，而后针对其未来发展方向提出了相应的建议，希望可使我国精细化工产业突破瓶颈，实现 持续性发展。
浅谈预制管顶推的主要施工技术及应用价值
Authors: 刘 文成
Published: January 2019

预制管顶推施工技术应用价值，施工优点，目前仍具有一定的应用价值。本文通过焦作市沁北引黄干渠穿越S104 省道及“长济”高速公路介绍水利工程穿越公路主要施工技术，通过比较分析，总结出其应用价值，指导类似工程设 计及施工。
工业危废集中处置工程的地下水环评要点分析
Authors: 阮 金木
Published: January 2019

工业危废物指的是根据国家所规定的危险物品鉴别标准以及鉴别方法所认定的固体工业废弃物。工业危废中含有 大量的毒性物质、腐蚀性物质、易燃性物质等，所以具有一定的危险性，因此在处置工业危废应选用合理的方式，有 效的避免其给自然环境、地下水环境带来风险，最大化的降低对环境的污染，并实现无害化目标，现阶段，国家环保 部门在进行工业危废处理的过程中根据实际的处置情况颁布了相关的政策，如处置技术政策、处置技术要求、处置技 术规范以及工业危废名录等，利用此作为环境影响管理规范与评价指南，其中管护地下水环境影响评价相关的要求与 其它工业危废物的处理方式有一定的区别，所以设计道德评价标准也相对较少，这样就导致工业危废集中处理工程中 无法对地下水环境进行更加有效的评价，所以应结合工业危废物处置工程的特性与环境影响评价中地下水环境指导准 则相结合，对工业危废物给地下水环境带来的影响进行评价，并以此为依据编制出工业危废物处置工程中地下水污染 技术评估指标，以降低给地下水环境带来的污染。[1]
Pengaruh Gaya Kepemimpinan, Komitmen Organisasi, Budaya Organisasi terhadap Kepuasan Kerja dan Kinerja Karyawan Pemasaran (pada Dealer Motor PT Suzuki Cabang Madiun dan Ngawi)
Authors: Dessyarti Robby Sandhi
Published: January 2019

The aim of this research is to describe and examine the influence of leadership style, organizational commitment, organizational culture on job satisfaction and employee performance, the influence of job satisfaction on employee performance. While examining the influence of indirect leadership style, organizational commitment, organization culture on employee performance through job satisfaction in PT Suzuki, Madiun and Ngawi branches motor dealer. The population used is the entire marketing employees as much as 136 people, total sampling or the census technique conducted. The questionnaire with five dimensions likert scale data, with SPSS assistance and Structural Equation Modeling AMOS analyzing method. The validity and reliability of the data tested by covergent validity and construct reliability next to the Goodness of Fit evaluation criteria. The results of the data analysis concluded that leadership style, organizational commitment, organizational culture do have positive and significant impact on job satisfaction and employee performance, while job satisfaction do have positive and significant impact on the employees performance. Job satisfaction does not mediating between leadership styles, organizational commitment and organizational culture on employee performance in PT Suzuki, Madiun and Ngawi branches motor dealer.
IMPROVING STUDENTS‘ ABILITY IN LISTENING TO A RECOUNT GENRE THROUGH SONG ANALYSIS TECHNIQUE
Authors: . Zarwin
Published: January 2019

This research was conducted to improve IX A grade students’ ability in listening to recount genre. In doing this research the researcher applied analyzing song technique. There were 32 students involved in this research. The data of this research was taking in two ways; test and observation. In taking the observation data the researcher was helped by two English teachers to know how far that the teaching process worked. The test was used to know the students progress from cycle to cycle. The test result showed that in the cycle one there are 41.25 % students still had problem with the grammar, 38.78% students still had problem with the spelling and 31.87% students had problem in area of hearing, while the average score of the student’s achievement is 61.00. In the cycle two the students made improvement significantly. There were only 25.00% students still had problem with the grammar, 23.00% students had problem with spelling and 27.19% students had problem with hearing, and  the average score of the students’ achievement was 75.00. from the result it can be concluded that song analysis technique can improve the IXA  Grade students ability in listening to a recount genre
DEIXIS FOUND IN KAMIO YOUKO’S HANA YORI DANGO IN ENGLISH VERSION
Authors: Febrianti Mariska
Published: January 2019

Deixis cannot be separated to language itself because deixis is a part of language. One of language forms in our environment are comics. It is the popular literary works that teenager read besides novel and short story. The objectives of this research can be further detailed as the following; (1) To find kinds of deixis that are in Kamio Yuoko’s Hana Yori Dango. (2) To know the situation of deixis are in  Kamio Youko’s Hana Yori Dango. The design of this research is descriptive qualitative research. It describes deixis found in Hana Yori Dango comic. This research uses the descriptive qualitative research. The result of this research are; (1) The kinds of English deixis found in Hana Yori Dango comic are; eighty five person deixis, twelve place deixis, thirteen time deixis, thirteen social deixis, and seventeen discourse deixis. So, it can be concluded the the dominan deixis which is used in Hana Yori Dango comic is person deixis and the minor deixis is place deixis and (2) The dominant situation in Hana Yori Dango comic is utterance situation related to person and social deixis in finding. So, the theory of deixis analysis from Jaszczolt (2002, p.191) is sticked with the result of deixis found in Hana Yori Dango comic. In this study, the kinds of deixis most commonly found is person deixis. It indicates that the author extremely want to show the figures in the story of comic. It can be seen from the portion of conversation made by the author is simple and short utterance and also related to some elements in comic itself.
PENGARUH INFLASI, SUKU BUNGA BANK INDONESIA (BI) DAN NILAI TUKAR RUPIAH/US$ TERHADAP PEREKONOMIAN INDONESIA
Authors: Indiarti Miralda
Published: January 2019

Tujuan penelitian ini adalah untuk membuktikan adanya pengaruh variabel bebas pertama yaitu inflasi, suku bunga BI variabel bebas kedua, dan variabel bebas ketiga yaitu nilai tukar Rupiah/US$ terhadap variabel terikat yaitu Produk Domestik Bruto (PDB) sebagai salah satu indikator perekonomian Indonesia pada periode Nopember 2015 – April 2018. Dengan bantuan program SPSS versi 24 didapat hasil penelitian bahwa determinasi koefisien nilai R sebesar 0,905 dan nilai R Square sebesar 0,819 atau 81,9%. Hal ini dapat dinyatakan dengan hasil analisa secara bersama-sama variabel independen inflasi (X1), suku bunga BI (X2), dan nilai tukar Rupiah/US$ (X3) terhadap variabel dependen Produk Domestik Bruto (PDB) (Y) memiliki nilai positif dan tingkat persentase pengaruhnya sangat tinggi yaitu sebesar 81,9% dan sisanya sebesar 19,1% disebabkan oleh faktor-faktor lain. Berdasarkan pada hasil uji ANOVA didapat nilai ratio - F sebesar 39,088. Selanjutnya dapat dikatakan variabel inflasi (X1), suku bunga BI (X2), dan nilai tukar Rp/US$ (X3) secara bersama-sama berpengaruh dengan variabel PDB (Y). Kata Kunci: Inflasi, Nilai Tukar Rupiah/US$, Suku Bunga Deposito, Produk Domestik Bruto
DAMPAK FASILITAS IBADAH, MAKANAN HALAL, DAN MORALITAS ISLAM TERHADAP KEPUTUSAN BERKUNJUNG YANG DIMEDIASI CITRA DESTINASI WISATA
Authors: SUDIGDO AGUS
Published: January 2019

Penelitian ini bertujuan untuk menganalisis pengaruh variabel independen, yaitu atribut Islam destinasi (fasilitas ibadah, makanan halal, moralitas Islam), pada keputusan untuk mengunjungi Jakarta turis Arab Saudi dengan citra destinasi wisata sebagai mediating variable. Data penelitian ini didasarkan pada 200 responden yang telah mengisi kuesioner tercetak, dan mereka yang pernah mengunjungi Jakarta. Metode Slovin sampling digunakan dalam penelitian ini untuk mengetahui jumlah sampel yang mewakili populasi. Metode analisis yang digunakan adalah SEM melalui perangkat lunak AMOS. Hasil penelitian menunjukkan bahwa ada pengaruh atribut Islam (fasilitas ibadah, makanan halal, moralitas Islam) pada keputusan mengunjungi Jakarta dengan citra destinasi pariwisata sebagai mediator. Saran yang diberikan, pemerintah harus mewajibkan semua pemilik bangunan/manajer untuk menyediakan ruang bagi umat Islam untuk beribadah, tempat ibadah ini harus tersedia di tempat hiburan, mal, hotel, bandara, stasiun, ruang publik, dan sebagainya. Di sisi lain, Majelis Ulama Indonesia (MUI) harus lebih agresif dalam mengawasi makanan dan minuman yang beredar di pasar. Penelitian ini tentunya memiliki beberapa keterbatasan, sehingga penelitian lebih lanjut sangat dianjurkan untuk melakukan survei atau penelitian di kota-kota lain, baik di Indonesia maupun di luar Indonesia. Selanjutnya, penelitian kualitatif dan dengan pendekatan longitudinal juga dapat dilakukan untuk peneliti masa depan untuk melihat perbedaan hasil. Akhirnya, penelitian selanjutnya disarankan untuk menganalisis variabel lain di luar model penelitian ini seperti kesetiaan destinasi dan kepuasan destinasi sebagai variabel dependen. Kata Kunci: Fasilitas Ibadah, Makanan Halal, Moralitas Islam, Citra Destinasi Pariwisata, Keputusan Untuk Berkunjung
USING THE STUDENTS' STATE INDICES FOR DESIGN OF ADAPTIVE LEARNING SYSTEMS
Authors: Burov Oleksandr Yu. , Pinchuk Olga P. , Pertsev Mykhailo A. , Vasylchenko Yaroslav V.
Published: January 2019

The paper discusses what scientific ideas could be used to increase effectiveness of adaptive learning systems. Possibilities to use changes of learner's cognitive state indicators under influence of internal (heart rate and blood pressure) and external (speed and density of solar wind) factors are discussed. It is described experience of use of the learner's cognitive state assessment (accounting psychological, physiological and external parameters) to assess his/her cognitive changes over weeks. The experimental results demonstrated individual nature of subjects' psychological and physiological changes over observation time (1,5 month) and their relationship. The authors' approach is based on the model describing formation and functioning of the “functional system of cognitive activity”. The question discussed is: what indices of a human performance indicators (behavioral, internal and/or external) could be useful for model construction? A human cognitive load can be under influence of different external and internal factors that can provoke his/her performance degradation. The results demonstrated the similar tendency for studied groups of subjects in previous studies: individual nature of changes of cognitive and physiological indices in day-to-day performance, as well as potentially significant influence of parameters of solar wind on them. As a result, such type of measurements of internal (physiological) and external (solar physics) parameters in combination with test performance indices could be used for assessment and prediction of effectiveness of cognitive activity, and adaptation of learning process according to the particularly learner's readiness to learn on a particular day and time. Different approaches and methods were proposed to take into account a human state, abilities, individual features to plan a human activity. Looking at learning as a type of activity in human-system integration, it is possible to consider today’s learner as an operator-researcher who acts in digital environment. At the same time, a human and tools of activity need mutual adaptation in complex systems. Psychophysiological model of learning and cognitive abilities development could be a basis for more effective design of learning achievements, organization and process, their quality, namely for adaptive learning on the base of accounting a learner's current cognitive state indices. Those results could be applied in design of adaptive learning systems, as it was made for industry in the previous developments of the authors. Principles of use of student's state indices in adaptive learning systems are proposed.
Objetos de aprendizaje para el primer grado de la educación básica general en Panamá
Authors: Lee Nadia , Aguirre Isabel , Griffin Yaizet
Published: January 2019

En este artículo presentamos la metodología y estructura utilizada para el diseño, construcción y valoración técnica de los objetos de aprendizaje contenidos en la interfaz web del proyecto: Portal de Objetos Digitales de aprendizaje para Niños y Niñas con Necesidades Educativas Especiales (PODA). Los objetos de aprendizaje contenidos en este portal se constituirán en nuevos recursos didácticos informáticos para apoyar el proceso de enseñanza aprendizaje, permitiendo la inclusión de niños y niñas con necesidades educativas especiales con/sin discapacidades, haciendo uso de Tecnología Educativa que permita organizar, comprender y manejar las múltiples variables de cualquier situación del proceso, de aumentar la eficacia y eficiencia de éste en un sentido amplio, cuya finalidad es la calidad educativa. El propósito principal es responder a la carencia de herramientas tecnológicas para el Aprendizaje que respondan a necesidades específicas y al desarrollo de competencias básicas en el primer grado de la Educación básica general, en el contexto del currículum Escolar Panameño, que contribuya a generar innovaciones pedagógicas alternativas a la enseñanza tradicional, implementando contenidos y actividades interactivas, con temáticas de educación especial, atendiendo a la diversidad, buscando optimizar la integración de las nuevas tecnologías de la información y las comunicaciones, para adecuar el trabajo del maestro en el aula, el padre de familia y el tutor en casa, y se propicie una mejora en la formación y actitud hacia las ciencias que estén acorde con las políticas educativas nacionales.
El legado tecnológico de la Segunda Guerra Mundial
Authors: González Guadalupe
Published: January 2019

En este artículo presentamos cuatro de las innumerables tecnologías que fueron desarrolladas durante la segunda Guerra Mundial y de las que sus variantes hoy en día tienen un uso imprescindible en nuestro diario vivir
YAŞLI BİREYLER İÇİN WEB SAYFALARI TASARIMININ ERGONOMİK AÇIDAN İNCELENMESİ
Authors: SARİ İsmail , ÖZER İhsan
Published: January 2019

Son yıllarda iki
önemli sosyokültürel eğilimi yaşıyoruz. Bunlardan ilki, birçok gelişmiş ülkede
20. yüzyılda başlayan insan ömrünün belirgin şekilde artması; ikincisi ise,
bilgi teknolojilerindeki gelişmeye bağlı olarak bilgisayar ve internet
kullanımının hızla benimsenmesidir. Bu durum günlük yaşamda güvenlik ve
bağımsızlığı artırarak, yaşlıların yaşamlarını iyileştirmeye katkı
sağlamaktadır. Teknoloji aynı zamanda yaşla ilgili sınırlamaların önlenmesinde,
sağlıklı yaşlanmanın sürdürülmesinde ve bilişsel yeteneklerin kaybedilmesini
engellemede de rol oynar. Geronteknoloji olarak adlandırılan bu yeni alanın
temel kaygısı, yaşlı insanlarda teknoloji kullanımının öngörülerini anlamak,
yaşla birlikte ortaya çıkan normatif değişikliklerin teknolojiyle nasıl
etkileştiğini ve daha iyi teknoloji ürünlerinin nasıl tasarlanacağını
belirlemektir. Bu bağlamda teknolojinin benimsenmesini ve kullanımını etkileyen
yaşla ilgili değişikliklerin gözden geçirilmesi, sonra da bu değişikliklerin
tasarıma olan etkilerinin ne olduğunun anlaşılması gerekir.

Yaşlıların bilgi teknolojisi kullanımının belirlenmesi
amacıyla yapılan bu çalışma Denizli kentsel kesimde 60 yaş üzerinde bilgisayar
kullanıcısı olan, yaşlı bireylerin internet ortamında kullandıkları web
sayfalarının temalarından kaynaklı karşılaştıkları zorluklar, örneklem üzerinde
değerlendirmeleri ve web sayfası kullanımı sırasında karşılaştıkları
zorlukların çözümü sürecinin ergonomik olarak ele alınması, web sayfası
tasarımında yaşlı bireylerin karşılaşabilecekleri zorlukların göz önünde
bulundurularak tasarlanmasını hedeflemektedir. Araştırmada bilgisayar kullanan
yaşlı bireyin internet kullanımına yönelik beklentiler ve benimsenmesine engel
oluşturan algılar çeşitli boyutlarıyla ele alınmıştır.
KABİN ÜRETİMİ YAPAN BİR İŞLETMENİN KAYNAK ATÖLYESİNDE İŞ SAĞLIĞI VE GÜVENLİĞİ RİSK DEĞERLENDİRMESİ
Authors: AYDIN Fatma , ÇİDEM Çağla , KAHYA Emin
Published: January 2019

Bu çalışmada traktör kabini ve tarım makineleri üreten bir
metal sanayi işletmesinin kaynaklar atölyesinde, iş sağlığı ve güvenliği ile
risk değerlendirme analizleri ele alınmıştır. İşletmenin kaynaklar
atölyesindeki tüm tezgahlar incelenerek, her bir tezgahta, başta kaynak gazı ve
ışın zararları olmak üzere iş kazası ve meslek hastalıklarına neden olan her
tehlike için Fine-Kinney ve Matris Yöntemleri ve REBA yöntemi ile de ergonomik
risk değerlendirmeleri yapılmıştır. Yüksek risk düzeyine sahip tüm noktalarda
riski azaltacak iyileştirme, çalışmaları yapılmıştır. a)Işının diğer insanlara
etkisini azaltmak için kaynak çevresindeki koruyucuların güçlendirilmesi veya
değiştirilmesi önerilmiştir. b)Kaynak gazının atölye içine yayılmasını önlemek
için, her tezgaha özgü aspiratör gücü tespit edilmiş, kaynak bölgesine uygun
davlumbaz tasarlanmıştır. Kaynak gazının işçiye olan direkt etkisini azaltmak
ve böylece riski kabul edilebilir düzeye düşürmek için ekonomik ve pratik lokal
havalandırma aparatları tasarlanmıştır. İşlemeye sunulan iyileştirme
çalışmaları ile kaynaklar atölyesinde belirlenmiş tüm yüksek riskler kabul
edilebilir (orta) seviyeye düşürülmüştür.
ÇALIŞMA DURUŞUNUN KAS-İSKELET SİSTEMİ RAHATSIZLIKLARINA ETKİLERİ VE ÖRNEK UYGULAMA
Authors: Baş Hasan , Sönmez Hüseyin Ali , Öztürk Hakan , Yapıcı Fatih
Published: January 2019

Teknolojik
gelişmelere rağmen bazı sanayi kollarında insan gücüne hala çok fazla ihtiyaç
duyulmaktadır. Bu sanayi kollarından biri de tekstil sektörü olup, artan
rekabet koşulları ile birlikte bu sektörde uygun olmayan çalışma duruşları,
sık, tekrarlı ve sürekli işler kas iskelet sistemi rahatsızlıklarına (KİSR)
neden olmaktadır. İşi ve işyeri şartlarını çalışanlara uygun hale getirme amacı
taşıyan ergonomi bilimi aynı zamanda KİSR rahatsızlıklarının önlenmesinde de
önemli bir araçtır. İş yerlerinde yapılan ergonomik çalışma ve iyileştirmeler
ile iş kazalarını, meslek hastalıklarını azaltmak, üretimde kalite ve verimi
yükseltmek de mümkün olmaktadır. Bu çalışma, tekstil sektöründe faaliyet
gösteren bir işletmenin yorgan imalatı bölümünde gerçekleştirilmiştir. KİSR ’e
neden olabilecek risklerin değerlendirilmesi için yorgan imalatı üretimde
bulunan tüm çalışanlarda Sue-Rodgers Formu yardımı ile ergonomik risk
değerlenmesi gerçekleştirilmiştir.

Bu analizlerin sonrasında yorgan dikilme ve kalite
kontrol işlemleri daha çok orta ve düşük riskler içerirken, katlama ve
paketleme işlemlerinin ise risk seviyelerinin orta ve daha yüksek olduğu tespit
edilmiştir. Belirlenen yüksek risk gruplarının düşürülmesi için iyileştirici
öneriler sunulmuştur.
Subsoiling and Sowing Time Influence Soil Water Content, Nitrogen Translocation and Yield of Dryland Winter Wheat
Authors: Liang Yan Fei , Khan Shahbaz , Ren Ai-xia , Lin Wen , Anwar Sumera , Sun Min , Gao Zhi-qiang
Published: January 2019

Dryland winter wheat in the Loess Plateau is facing a yield reduction due to a shortage of soil moisture and delayed sowing time. The field experiment was conducted at Loess Plateau in Shanxi, China from 2012 to 2015, to study the effect of subsoiling and conventional tillage and different sowing dates on the soil water storage, Nitrogen (N) accumulation, and remobilization and yield of winter wheat. The results showed that subsoiling significantly improved the soil water storage (0–300 cm soil depth) and increased the contribution of N translocation to grain N and grain yield (17–36%). Delaying sowing time had reduced the soil water storage at sowing and winter accumulated growing degree days by about 180 °C. The contribution of N translocation to grain yield was maximum in glume + spike followed by in leaves and minimum by stem + sheath. Moreover, there was a positive relationship between the N accumulation and translocation and the soil moisture in the 20–300 cm range. Subsoiling during the fallow period and the medium sowing date was beneficial for improving the soil water storage and increased the N translocation to grain, thereby increasing the yield of wheat, especially in a dry year.
Modeling of CO Emissions from Traffic Vehicles Using Artificial Neural Networks
Authors: Azeez Omer Saud , Pradhan Biswajeet , Shafri Helmi Z. M. , Shukla Nagesh , Lee Chang-Wook , Rizeei Hossein Mojaddadi
Published: January 2019

Traffic emissions are considered one of the leading causes of environmental impact in megacities and their dangerous effects on human health. This paper presents a hybrid model based on data mining and GIS models designed to predict vehicular Carbon Monoxide (CO) emitted from traffic on the New Klang Valley Expressway, Malaysia. The hybrid model was developed based on the integration of GIS and the optimized Artificial Neural Network algorithm that combined with the Correlation based Feature Selection (CFS) algorithm to predict the daily vehicular CO emissions and generate prediction maps at a microscale level in a small urban area by using a field survey and open source data, which are the main contributions to this paper. The other contribution is related to the case study, which represents the spatial and quantitative variations in the vehicular CO emissions between toll plaza areas and road networks. The proposed hybrid model consists of three steps: the first step is the implementation of the correlation-based Feature Selection model to select the best model’s predictors; the second step is the prediction of vehicular CO by using a multilayer perceptron neural network model; and the third step is the creation of micro scale prediction maps. The model was developed using six traffic CO predictors: number of vehicles, number of heavy vehicles, number of motorbikes, temperature, wind speed and a digital surface model. The network architecture and its hyperparameters were optimized through a grid search approach. The traffic CO concentrations were observed at 15-min intervals on weekends and weekdays, four times per day. The results showed that the developed model had achieved validation accuracy of 80.6 %. Overall, the developed models are found to be promising tools for vehicular CO simulations in highly congested areas.
Joining of Carbon Fiber Reinforced Plastic to Aluminum Alloy by Reactive Multilayer Films and Low Power Semiconductor Laser Heating
Authors: Ma Ying , Bridges Denzel , Yu Yongchao , Han Jitai , Li Hong , Hu Anming
Published: January 2019

This study investigated the characteristics and strength of the dissimilar joints between carbon fiber reinforced plastic (CFRP) epoxy composites and aluminum alloys using two different heating methods, Ni/Al reactive multilayer films (RMF) and a low power continuous wave diode laser. To enhance the adhesion, the top resin layer of the CFRP and the surface of the aluminum alloy were patterned by femtosecond laser. Polycarbonate (PC) was used as a filler material during the joining processes. ANSYS simulation was applied to elucidate the thermal kinetics of the self-propagation reaction and the thermal profile, and evaluate the possibility of joining CFRP to aluminum using Ni/Al RMFs. The SEM image of the cross-section shows that melted PC flowed into the CFRP–aluminum alloy interface, suggesting strong mechanical bonding. A tensile strength of 9.5 MPa was reached using Ni/Al multilayers as heat sources, which provides a new way for joining CFRPs and aluminum alloys in space or under water.
Electrochemical Impedance Characterization of Cell Growth on Reduced Graphene Oxide–Gold Nanoparticles Electrodeposited on Indium Tin Oxide Electrodes
Authors: Chinnadayyala Somasekhar R. , Park Jinsoo , Choi Yonghyun , Han Jae-Hee , Yagati Ajay Kumar , Cho Sungbo
Published: January 2019

The improved binding ability of graphene–nanoparticle composites to proteins or molecules can be utilized to develop new cell-based assays. In this study, we fabricated reduced graphene oxide–gold nanoparticles (rGO-AuNP) electrodeposited onto a transparent indium tin oxide (ITO) electrode and investigated the feasibility of the electrochemical impedance monitoring of cell growth. The electrodeposition of rGO–AuNP on the ITO was optically and electrochemically characterized in comparison to bare, rGO-, and AuNP-deposited electrodes. The cell growth on the rGO–AuNP/ITO electrode was analyzed via electrochemical impedance measurement together with the microscopic observation of HEK293 cells transfected with a green fluorescent protein expression vector. The results showed that rGO–AuNP was biocompatible and induced an increase in cell adherence to the electrode when compared to the bare, AuNP-, or rGO-deposited ITO electrode. At 54 h cultivation, the average and standard deviation of the saturated normalized impedance magnitude of the rGO–AuNP/ITO electrode was 3.44 ± 0.16, while the value of the bare, AuNP-, and rGO-deposited ITO electrode was 2.48 ± 0.15, 2.61 ± 0.18, and 3.01 ± 0.25, respectively. The higher saturated value of the cell impedance indicates that the impedimetric cell-based assay has a broader measurement range. Thus, the rGO–AuNP/ITO electrode can be utilized for label-free and real-time impedimetric cell-based assays with wider dynamic range.
Design and Implementation of a Contextual-Based Continuous Authentication Framework for Smart Homes
Authors: Ashibani Yosef , Kauling Dylan , Mahmoud Qusay
Published: January 2019

There has been a rapid increase in the number of Internet of Things (IoT) devices in the last few years, providing a wide range of services such as camera feeds, light controls, and door locks for remote access. Access to IoT devices, whether within the same environment or remotely via the Internet, requires proper security mechanisms in order to avoid disclosing any secure information or access privileges. Authentication, on which other security classes are built, is the most important part of IoT security. Without ensuring that the authorized party is who it claims to be, other security factors would be useless. Additionally, with the increased mobility of IoT devices, traditional authentication mechanisms, such as a username and password, are less effective. Numerous security challenges in the IoT domain have resulted in the proposal of many different approaches to authentication. Many of these methods require either carrying an authentication token, such as a smartcard, or restricting access to a particular physical location. Considering that most IoT devices contain a wide array of sensors, a large amount of contextual information can be provided. Thus, real-time security mechanisms can protect user access by, for example, utilizing contextual information to validate requests. A variety of contextual information can be retrieved to strengthen the authentication process, both at the time of access request and throughout the entire access session, without requiring user interaction, which avoids the risk of being discovered by attackers of these features. In this paper, we introduce a continuous authentication framework that integrates contextual information for user authentication in smart homes. The implementation and evaluation show that the framework can protect smart devices against unauthorized access from both anonymous and known users, either, locally or remotely, in a flexible manner and without requiring additional user intervention.
Vanadium Electrolyte for All-Vanadium Redox-Flow Batteries: The Effect of the Counter Ion
Authors: Roznyatovskaya Nataliya , Noack Jens , Mild Heiko , Fühl Matthias , Fischer Peter , Pinkwart Karsten , Tübke Jens , Skyllas-Kazacos Maria
Published: January 2019

In this study, 1.6 M vanadium electrolytes in the oxidation forms V(III) and V(V) were prepared from V(IV) in sulfuric (4.7 M total sulphate), V(IV) in hydrochloric (6.1 M total chloride) acids, as well as from 1:1 mol mixture of V(III) and V(IV) (denoted as V3.5+) in hydrochloric (7.6 M total chloride) acid. These electrolyte solutions were investigated in terms of performance in vanadium redox flow battery (VRFB). The half-wave potentials of the V(III)/V(II) and V(V)/V(IV) couples, determined by cyclic voltammetry, and the electronic spectra of V(III) and V(IV) electrolyte samples, are discussed to reveal the effect of electrolyte matrix on charge-discharge behavior of a 40 cm2 cell operated with 1.6 M V3.5+ electrolytes in sulfuric and hydrochloric acids. Provided that the total vanadium concentration and the conductivity of electrolytes are comparable for both acids, respective energy efficiencies of 77% and 72–75% were attained at a current density of 50 mA∙cm−2. All electrolytes in the oxidation state V(V) were examined for chemical stability at room temperature and +45 °C by titrimetric determination of the molar ratio V(V):V(IV) and total vanadium concentration.
Brain Organoids—A Bottom-Up Approach for Studying Human Neurodevelopment
Authors: Karzbrun Eyal , Reiner Orly
Published: January 2019

Brain organoids have recently emerged as a three-dimensional tissue culture platform to study the principles of neurodevelopment and morphogenesis. Importantly, brain organoids can be derived from human stem cells, and thus offer a model system for early human brain development and human specific disorders. However, there are still major differences between the in vitro systems and in vivo development. This is in part due to the challenge of engineering a suitable culture platform that will support proper development. In this review, we discuss the similarities and differences of human brain organoid systems in comparison to embryonic development. We then describe how organoids are used to model neurodevelopmental diseases. Finally, we describe challenges in organoid systems and how to approach these challenges using complementary bioengineering techniques.
A Review on Bioactivities of Tobacco Cembranoid Diterpenes
Authors: Yan Ning , Du Yongmei , Liu Xinmin , Zhang Hongbo , Liu Yanhua , Zhang Zhongfeng
Published: January 2019

Cembranoids are carbocyclic diterpenes comprising four isoprene units and are natural products with a parent skeleton consisting of a 14-membered ring. They have gained wide interest in recent years and are a major hotspot in the research of natural product chemistry. Since 1962, various tobacco cembranoid diterpenes have been identified. This review systematically discusses and summarises the excellent antimicrobial, insecticidal, cytotoxic and neuroprotective activities of tobacco cembranoid diterpenes. These compounds show potential to be developed as botanical fungicides, cytotoxic drugs and drugs for the treatment of human immunodeficiency virus, Alzheimer’s disease, Parkinson’s disease, and other neurodegenerative diseases. However, there are relatively few studies on the structure–activity relationship (SAR) of tobacco cembranoid diterpenes. Therefore, future studies should focus on their structural modification, SAR and biogenic relationships.
Optimizing Epicardial Restraint and Reinforcement Following Myocardial Infarction: Moving Towards Localized, Biomimetic, and Multitherapeutic Options
Authors: Varela Claudia E. , Fan Yiling , Roche Ellen T.
Published: January 2019

The mechanical reinforcement of the ventricular wall after a myocardial infarction has been shown to modulate and attenuate negative remodeling that can lead to heart failure. Strategies include wraps, meshes, cardiac patches, or fluid-filled bladders. Here, we review the literature describing these strategies in the two broad categories of global restraint and local reinforcement. We further subdivide the global restraint category into biventricular and univentricular support. We discuss efforts to optimize devices in each of these categories, particularly in the last five years. These include adding functionality, biomimicry, and adjustability. We also discuss computational models of these strategies, and how they can be used to predict the reduction of stresses in the heart muscle wall. We discuss the range of timing of intervention that has been reported. Finally, we give a perspective on how novel fabrication technologies, imaging techniques, and computational models could potentially enhance these therapeutic strategies.
Autophagy in Chronic Kidney Diseases
Authors: Lin Tien-An , Wu Victor Chien-Chia , Wang Chao-Yung
Published: January 2019

Autophagy is a cellular recycling process involving self-degradation and reconstruction of damaged organelles and proteins. Current evidence suggests that autophagy is critical in kidney physiology and homeostasis. In clinical studies, autophagy activations and inhibitions are linked to acute kidney injuries, chronic kidney diseases, diabetic nephropathies, and polycystic kidney diseases. Oxidative stress, inflammation, and mitochondrial dysfunction, which are implicated as important mechanisms underlying many kidney diseases, modulate the autophagy activation and inhibition and lead to cellular recycling dysfunction. Abnormal autophagy function can induce loss of podocytes, damage proximal tubular cells, and glomerulosclerosis. After acute kidney injuries, activated autophagy protects tubular cells from apoptosis and enhances cellular regeneration. Patients with chronic kidney diseases have impaired autophagy that cannot be reversed by hemodialysis. Multiple nephrotoxic medications also alter the autophagy signaling, by which the mechanistic insights of the drugs are revealed, thus providing the unique opportunity to manage the nephrotoxicity of these drugs. In this review, we summarize the current concepts of autophagy and its molecular aspects in different kidney cells pathophysiology. We also discuss the current evidence of autophagy in acute kidney injury, chronic kidney disease, toxic effects of drugs, and aging kidneys. In addition, we examine therapeutic possibilities targeting the autophagy system in kidney diseases.
Cardamom Casualties: Extreme Weather Events and Ethnic Minority Livelihood Vulnerability in the Sino-Vietnamese Borderlands
Authors: Rousseau Jean-François , Turner Sarah , Xu Yiqiang
Published: January 2019

In the wake of important economic reforms and an ongoing agrarian transition, non-timber forest products, most notably black cardamom, have emerged as significant trade options for ethnic minority farmers in the mountainous Sino-Vietnamese borderlands. Yet, after a series of harsh winters had already crippled cardamom harvests in the 2000s, extreme weather in 2016 decimated the cardamom plantations of hundreds of farming households. Drawing from sustainable livelihoods, livelihood diversification, and vulnerability literatures, we investigate the multiple factors shaping how these harvest failures have affected ethnic minority cultivator livelihoods. Focusing on four case study villages, two in Yunnan, and two in northern Vietnam, we analyse the coping and adaptation strategies Hmong, Yao, Hani, and Yi minority farmers have adopted. We find that farmers’ decisions and strategies have been rooted in a complex ensemble of factors including their degree of market access, other livelihood opportunities available to them, cultural traditions and expectations, and state development strategies. Moreover, we find that in recent years the Chinese and Vietnamese states have stood-by as affected cultivators have struggled to reorganize their livelihoods, suggesting that the impacts of extreme weather events might even serve state projects to further agrarian transitions in these borderlands.
Machine-Learning Models for Sales Time Series Forecasting
Authors: Pavlyshenko Bohdan
Published: January 2019

In this paper, we study the usage of machine-learning models for sales predictive analytics. The main goal of this paper is to consider main approaches and case studies of using machine learning for sales forecasting. The effect of machine-learning generalization has been considered. This effect can be used to make sales predictions when there is a small amount of historical data for specific sales time series in the case when a new product or store is launched. A stacking approach for building regression ensemble of single models has been studied. The results show that using stacking techniques, we can improve the performance of predictive models for sales time series forecasting.
The MAPK Signaling Pathways as a Novel Way in Regulation and Treatment of Parasitic Diseases
Authors: Zhao Yumin , Gui Weifeng , Niu Fuqiu , Chong Shigui
Published: January 2019

Few major advances in fighting parasitic diseases have been made in China since the development of new methods for prevention, control, and elimination. However, the proportion of immunocompromised individuals has increased due to the growth of chronic diseases, population aging, and more frequent cases of patients with AIDS and cancer. All these problems can promote development of parasitic infections, which is commonly associated with manipulation of host signaling pathways and the innate immune system. Mitogen-activated protein kinase (MAPK) signaling pathways are evolutionarily conserved in metazoan organisms, which play critical roles in the cell cycle, gene expression, growth, differentiation, apoptosis, and parasite–host interactions. Recent discoveries of the MAPK components involved in activation, regulation, and signal transduction appeared to be promising for the diagnosis, prevention, and treatment of parasitic diseases in the future. This review summarizes the involvement and critical role of the MAPK family in parasitic disease development and maintenance in the host. Moreover, it highlights recent studies concerning the mechanisms and novel drug development for inhibition and regulation of MAPK pathways in order to prevent parasitic disease. In addition, we discuss some antigenic proteins as prospective inhibitory molecules or vaccines for the regulation and control of MAPK signaling involved in parasite physiological activity.
Efficient High-Dimensional Quantum Key Distribution with Hybrid Encoding
Authors: Jo Yonggi , Park Hee Su , Lee Seung-Woo , Son Wonmin
Published: January 2019

We propose a schematic setup of quantum key distribution (QKD) with an improved secret key rate based on high-dimensional quantum states. Two degrees-of-freedom of a single photon, orbital angular momentum modes, and multi-path modes, are used to encode secret key information. Its practical implementation consists of optical elements that are within the reach of current technologies such as a multiport interferometer. We show that the proposed feasible protocol has improved the secret key rate with much sophistication compared to the previous 2-dimensional protocol known as the detector-device-independent QKD.
Intelligent Energy Management Algorithms for EV-charging Scheduling with Consideration of Multiple EV Charging Modes
Authors: Mao Tian , Zhang Xin , Zhou Baorong
Published: January 2019

Electric vehicles (EVs) are now attracting increasing interest from both industries and countries as an environmentally friendly and energy efficient mode of travel. Therefore, the EV charging and/or discharging issue has become an important challenge and research topic in power systems in recent years. An advanced and economic EV charging process, however, should employ smart scheduling, which depends on effective and robust algorithms. To that end, a comprehensive intelligent scatter search (ISS) algorithm within the frame of a basic scatter search has been designed with both unidirectional and bidirectional charging considered. The ISS structure also supports both a flexible and constant charging power rate by respectively employing filter-SQP (sequential quadratic programming) and mixed-integer SQP as local solvers with module control. The detailed design of ISS is presented and the objectives of smoothing the daily load profile and minimizing the charging cost have been tested. Compared with methods based on GS (global search), GA (genetic algorithm), and PSO (particle swarm optimization), the outcome-verified ISS can produce attractive results with a significantly short computational time. Moreover, to handle a large scale EV charging scenario, a hybrid method comprised of a GA and ISS approach has been further developed. Simulation results also verified its prominent performance, plus superbly low computational time.
Performance Analysis of Hydrofoil Shaped and Bi-Directional Diffusers for Cross Flow Tidal Turbines in Single and Double-Rotor Configurations
Authors: Zanforlin Stefania , Buzzi Fulvio , Francesconi Marika
Published: January 2019

With the aim of finding efficient solutions for cross flow turbine (CFT) bi-directional diffusers able to harvest non perfectly rectilinear tidal currents, a 2D CFD analysis of ducted CFTs was carried out with focus on the effects of diffuser shape and yaw angle. The HARVEST hydrofoil shaped diffuser, equipped with a pair of counter-rotating turbines, and a bi-directional symmetrical diffuser were compared in terms of coefficient of power (CP), torque ripple, overall thrust on diffuser and wake characteristics. Slightly better CP were predicted for the symmetrical diffuser, due to the convergent walls that address the flow towards the blade with a greater attack angle during early and late upwind and to the viscous interactions between the turbine wakes and strong vortices shed by the diffuser. A CP’s extraordinary improving resulted when yaw increased up to 22.5° for the hydrofoil shaped and up to 30° for the symmetrical diffuser. Similar behaviour in yawed flows also occurred in case of a ducted single rotor, demonstrating that it is a characteristic of CFTs. The insertion of a straight throat in the diffuser design proved to be an effective way to mitigate torque ripple, but a CP loss is expected.
Emerging Advances in Petrophysics: Porous Media Characterization and Modeling of Multiphase Flow
Authors: Cai Jianchao , Sun Shuyu , Habibi Ali , Zhang Zhien
Published: January 2019

With the ongoing exploration and development of oil and gas resources all around the world, applications of petrophysical methods in natural porous media have attracted great attention. This special issue collects a series of recent studies focused on the application of different petrophysical methods in reservoir characterization, especially for unconventional resources. Wide-ranging topics covered in the introduction include experimental studies, numerical modeling (fractal approach), and multiphase flow modeling/simulations.