Miracle-dz/UniFAR-FTUs huggingface dataset:
Secure and Efficient Deduplication Using Hybrid Cloud Approach

In cloud computing, the big attention always is on security, about the abilities in which the shared data must be stored in high level security system, not all the users can access in the cloud, just who has the privilege given by the cloud itself or by who owns the data and so on. In addition, and as we all know that the customers are buying clouds to get benefits of never mind about the infrastructure and to be sure that all their data will totally be in safe. There is also big attention on how to never duplicate the files in cloud in order to reduce the amount of storage space because as we know that the customer is paying to get the storage and for sure nobody wants his data to be repeated in his system. For that, this paper will discuss a type of deduplication of files securely by giving just the owner the rights to choose the users who will be able to get access and have the right to upload or download files, and the use of AES algorithm as a way to encrypt/decrypt.
Yunanistan’ın Türkiye Algısı Çerçevesinde Oluşan Balkan Politikası

Soguk Savas’in ilk yillarinda Turkiye ile paralel bir yol alan Yunanistan, Bati sistemi icerisinde yer alarak komunist rejimle yonetilen Balkan ulkeleri ile iliskilerini alt duzeyde tutmustur. Turkiye ile Kibris meselesi yuzunden iliskilerin giderek kotulesmeye baslamasi ve 1974 yilinda Kibris Baris Harekâti, Yunanistan’i dis politika acisindan yeni arayislara itmistir. Bu tarihten itibaren temel onceligi Turkiye tarafindan tehdit olarak algilanan Yunanistan hem Avrupa’ya hem de Balkan ulkelerine yonelmistir. Soguk Savas’in sona ermesinin ardindan 1990’larin ilk yarisinda Yunanistan yine bu Turkiye algisi cercevesinde hareket etmistir. Ancak izledigi politikanin, kendisini, uluslararasi ortamda ve bolgede yalnizlastirdigini fark eden Yunanistan, 90’larin ikinci yarisinda Balkanlarda ekonomi politikalari ile yer almaya baslamistir. Onceligi Turkiye tehdidini bertaraf etmek olan Yunanistan eski politikasini degistirmis ve bu yolda daha aktif bir politika izlemeye baslamistir
Values of Traceability in Supply Chains

Problem definition: We study how traceability can impact quality contracting under different supply chain structures. Academic/practical relevance: The recent development in blockchain technologies has enabled end-to-end traceability of supply chains. When a product failure occurs, such traceability information can be used to identify the suppliers at fault. Methodology: We use game theory to study the contracting equilibrium between one buyer and two suppliers. Results: In serial supply chains where each supplier belongs to a different tier of the supply chain, the sequential production process leads to a double moral hazard problem between the upstream and downstream suppliers, so that the upstream supplier is less incentivized and product quality is reduced. In this case, the ability to trace the production process improves efficiency by mitigating the double moral hazard. As a result, in serial supply chains, traceability always improves product quality and all firms' profits and naturally creates a win-win situation. In parallel supply chains where all suppliers belong to the same tier of the supply chain, the buyer may have to recall all products from the market once a defect occurs if he cannot trace which products were produced by the defective and non-defective suppliers. In this case, in addition to the improved efficiency due to the mitigated moral hazard, the ability to trace the product origin also impacts the supply chain by enabling flexibility in product recall, which can in fact reduce product quality. Furthermore, in parallel supply chains, while traceability always improves the buyer's profit and the total supply chain profit, it can reduce the suppliers' profits. Managerial implications: The impact of traceability critically depends on the supply chain structure. Blockchain-enabled traceability may be easier to gain traction in ``long" multi-tier supply chains as opposed to ``flat" multi-sourcing supply chains.
Innovation and FDI: Does the Target of Intellectual Property Rights Matter?

This paper develops a North-South product-cycle model with innovation and foreign direct investment (FDI) to analyze the influences from strengthening intellectual property rights (IPR) protection. Innovation occurs in the North while imitation happens in the South. Southern firms can imitate either goods produced in the North or goods produced by multinationals in the South. We find that if the target of strengthening IPR protection is Northern-produced goods, then such a policy change reduces the innovation rate and raises the North-South relative wage in the long run. However, the effects on the long-run innovation rate and the North-South relative wage reverse if its target is Southern-produced goods by multinationals. As for the pattern of production, strengthening IPR protection raises the long-run extents of FDI and Southern production imitating goods produced by multinationals while reducing the long-run extents of Northern production and Southern production imitating goods produced in the North, regardless of the target of stronger IPR protection. In addition to examining the long-run effects of strengthening IPR protection, we also analyze its effects during the transitional dynamics. The quantitative analysis indicates that the two strengthening-IPR-protection policies cause welfare losses for both Northern and Southern consumers if we consider the accumulated effects during the transitional dynamics.
CLAVAS: A CLARIN Vocabulary and Alignment Service

The CLARIN Vocabulary and Alignment Service (CLAVAS) project started as an attempt to address problems that occurred with the use of the CLARIN ISOcat repository to deal with vocabularies used for value ranges in CMDI metadata elements and attributes. CLAVAS objectives were easier maintenance of vocabularies and new ways to exploit these vocabularies in end user tools; the underlying aims were the improvement of metadata quality and the reduction of concept proliferation in the ISOcat repository. Also, during the project three specific vocabularies were processed and made available via the newly created CLAVAS service platform.We present and evaluate CLAVAS in relation to the family of semantic registries that together played a role in CLARIN: ISOcat, OpenSKOS and the CLARIN Concept Registry. We discuss developments that occurred after the end of the CLAVAS project period, especially the discontinuation of ISOcat as a CLARIN service and the subsequent roles of OpenSKOS and CLAVAS.
Pengaruh Faktor Internal dan Faktor Eksternal Perusahaan Pada Kecepatan Publikasi Laporan Keuangan

Penelitian ini dilakukan pada perusahaan sektor industri barang konsumsi yang terdaftar di Bursa Efek Indonesia pada periode 2014-2017. Sampel yang diperoleh sejumlah 16 perusahaan dengan 64 amatan. Profitabilitas berpengaruh positif pada kecepatan publikasi laporan keuangan. Hal ini menunjukkan bahwa semakin tinggi profitabilitas maka semakin cepat perusahaan mempublikasikan laporan keuangannya. Kompleksitas operasi perusahaan berpengaruh negatif pada kecepatan publikasi laporan keuangan. Hal ini menunjukkan bahwa semakin kompleks operasi perusahaan dapat memperlambat publikasi laporan keuangannya. Audit tenure dan reputasi KAP tidak berpengaruh pada kecepatan publikasi laporan keuangan. Hal ini menunjukkan bahwa audit tenure yang panjang atau pendek dan KAP yang memiliki reputasi atau tidak bereputasi tidak berpengaruh pada kecepatan publikasi laporan keuangan. Kata kunci: Profitabilitas, kompleksitas operasi perusahaan, audit tenure, reputasi KAP, kecepatan publikasi laporan keuangan
The Validity of Hedonic Models for Estimating Heterogeneous Assets Returns

In this paper, we examine the validity of hedonic models for estimating heterogeneous assets returns. We look into the art markets, and show that the returns on hedonic indices strictly depend on the specifications of the model. Different sets of variables lead to different returns. This means that the researcher may implicitly decide on the performance of the hedonic index. These results are confirmed by conducting the same analysis on different samples, but they can be also deduced with simulated data. We conclude that hedonic models are sufficient for studying movements in the market; however, for studying art or other heterogeneous assets as an investment and comparing its performance to other asset classes, the repeat-sales models are more adequate.
Distributed Load Balancing using Dynamic Load Balancing Algorithm.

Cloud computing is one of the most prominent technologies. The fundamental idea behind cloud computing is to distribute an array of computing services by unifying and scheduling a pool of computing resources, thereby minimizing the burden on the users and helping them focus on their core businesses. We can enhance Distributed Dynamic load balancing algorithm by prediction of future load from the past historical data and make efficient utilization of resources.
Bellmanian Bandit Network

This paper presents a new reinforcement learning (RL) algorithm called Bellmanian Bandit Network (BBN), where action selection in each state is formalized as a multi-armed bandit problem. The first contribution lies in the definition of an exploratory reward inspired from the intrinsic motivation criterion [1], combined with the RL reward. The second contribution is to use a network of multi-armed bandits to achieve the convergence toward the optimal Q-value function. The BBN algorithm is validated in stationary and non-stationary grid-world environments, comparatively to [1].
Energy-Aware Routing in Software-Defined Networks with Table Compression (using Wildcard Rules)

Software-defined Networks (SDN), in particular OpenFlow, is a new networking paradigm enabling innovation through network programmability. Over past few years, many applications have been built using SDN such as server load balancing, virtual-machine migration, traffic engineering and access control. In this paper, we focus on using SDN for energy-aware routing (EAR). Since traffic load has a small influence on power consumption of routers, EAR allows to put unused links into sleep mode to save energy. SDN can collect traffic matrix and then computes routing solutions satisfying QoS while being minimal in energy consumption. However, prior works on EAR have assumed that the forwarding table of OpenFlow switch can hold an infinite number of rules. In practice, this assumption does not hold since such flow tables are implemented in Ternary Content Addressable Memory (TCAM) which is expensive and power-hungry. We consider the use of wildcard rules to compress the forwarding tables. In this paper, we propose optimization methods to minimize energy consumption for a backbone network while respecting capacity constraints on links and rule space constraints on routers. In details, we present two exact formulations using Integer Linear Program (ILP) and introduce efficient heuristic algorithms. Based on simulations on realistic network topologies, we show that, using this smart rule space allocation, it is possible to save almost as much power consumption as the classical EAR approach
Comparative Study of Communication Interfaces for Sensors and Actuators in the Cloud of Internet of Things

An industrial revolution named “Internet of Things” has already started with the number of devices connected to the Internet outnumbering the number of humans. A number of application domains (like smart healthcare, smart home, smart agriculture, smart transportation, etc.) are being researched with new domains springing up. However, a number of wireless connectivity protocols (including Bluetooth, Bluetooth low energy, ZigBee, Z-wave, Wi-Fi, 6LowPAN, GSM, UWB, etc.) can be used in IoT applications. There is therefore the challenge of how to select the most efficient wireless connectivity standard based on data rate, network range, type of devices, environment, distance, energy consumption, etc. Hence, this work tests and compares three commonly used wireless connectivity modules, namely, Bluetooth, ZigBee and Wi-Fi based on power consumption, range, topology and cost in order to provide IoT application developers with communication interface paradigm for sensors and actuators in the cloud of IoT. A user-friendly mobile application (Blynk) is used to monitor and control connected devices over the Internet.
Determinants of Economic Stability through Female Unemployment: Evidence from Pakistan

: The objective of this study is to capture a nexus between economic stability and female un-employment in Pakistan. Since economic stability enables macro-economic objectives such as sustainable growth, it creates conductive environment for employment. This study used foreign direct investment (FDI), consumer price index (CPI), ﬁscal deﬁcit, debt to GDP, interest rate and exchange rate regarded as indicators of economic stability. Whereas, time series data for the period from 1973 to 2015 has employed through Augmented Dickey Fuller and Phillip-Perron and unit roots tests are applied to check the stationarity of the data. It has found that data is a mix of level I(0) and 1st difference I(1), which further justify us to apply auto regressor distributed lags (ARDL) bound testing approach for results. The Error Correction Mechanism (ECM) technique has applied for the short run dynamics of the models. However, CPI has positive and significant relationship with female unemployment in Pakistan. Whereas, exchange rate has negative related with female unemployment. Moreover, it is highly recommended to maintain economic stability through monetary and ﬁscal policy mechanism and there is also a dire need to formulate gender sensitive policies to create more employment opportunities to female labour force in the economy.
Reliable Information Transmission Mechanism Research of the Internet of Things Sensing Layer based on the Digital Signature

With the rapid development of information technology and network communication technology, Internet of Things technology to flourish, in the Internet of Things environment, not only contains the past network environment components, but also joined the intelligent object, it will form hundreds of millions of data , These huge amount of data will result in a huge computing cost. In this paper, we use the concept of security level protocol to reduce the cost of computing, and propose a lightweight security mechanism based on the concept of digital signature between the mediation layer and the perceptual layer. Through the intermediary layer, The identity of a verifiable and non-repudiation, thereby enhancing the security of things.
Environmental and Economic Benefits from the Phase-out of Residential Oil Heating: A Study from the Aosta Valley Region (Italy)

Although its use is declining, oil heating is still used in areas not covered by the methane grid. Oil heating is becoming more and more expensive, requires frequent tank refill operations, and has high emissions of greenhouse gas (GHG) and air pollutants such as SOx. In addition, spills from oil underground storage tanks (USTs) represent a serious environmental threat to soil and groundwater quality. In this paper, we present a comprehensive analysis on technical alternatives to oil heating with reference to the Aosta Valley (NW Italy), where this fuel is still often used and numerous UST spills have been reported in the last 20 years. We assess operational issues, GHG and pollutant emissions, and unit costs of the heat produced for several techniques: LPG boilers, wood boilers (logs, chips, pellets) and heat pumps (air-source, geothermal closed-loop and open-loop systems). We examine the investment to implement such solutions in two typical cases, a detached house and a block of flats, deriving payback times of about 3–8 years. Wood log boilers turn out to be the most economically convenient solutions; however, heat pumps provide several benefits from the operational and environmental points of view. In addition, including solar thermal panels for domestic hot water or a photovoltaic plant would have payback times of about 6–9 years. The results highlight the economic feasibility and the multiple benefits of a rapid phase-out of oil heating in Italy.
Enhancing Psychoanalysis: A Case of Integrating EMDR

t is my intention in this paper to portray a felt sense of the EMDR technique by detailing my experience with a patient. In addition, I would I like to demonstrate the value of integrating this technique, which comes from outside psychoanalytic thinking, into our psychoanalytic practice, particularly Self Psychology and Intersubjectivity theories. ’ I begin with the patient. I believe, along with Donna Orange (2007), that “each person . emerges as an unrepeatable individual in the context of relational processes of self and mutual regulation” (p.7). Theoretical formulations should therefore be embedded, insofar as it is possible, in the details of both the patient’s history and also the analystlpatient interaction, rather than vice versa. Accordingly, I will be applying theory to the clinical setting, rather then fitting the clinical work into the theory.
Sistem Pengenalan Wicara Berdasarkan Cepstrum dan Hidden Markov Model

Sistem pengenal wicara merupakan sistem yang bisa mengerti kata-kata yang diucapkan manusia. Sistem pengenal wicara dapat dimanfaatkan di berbagai bidang kehidupan. Tulisan ini bertujuan untuk merealisasikan sistem pengenal wicara dengan menggunakan metode cepstrum dan Hidden Markov Model. Sistem ini diterapkan untuk mengenali 23 kata yang diperoleh dengan mencuplik sinyal dari mikrofon yang terhubung ke kartu suara pada komputer. Dari hasil pengujian didapatkan tingkat keberhasilan pengenalan 76,52%
Learning By Doing And Communications Within A Process Control Class

Providing realistic experiences for engineering students is complicated by a number of factors including a lack of equipment, technician support, and meaningful communication experiences to name a few. To overcome the first two factors computer simulations have been used but these are often lacking in the fullness of details that real systems provide. Meaningful communications are also difficult if there are no consequences tied to the effectiveness of the communication. Over the past four years we have been examining a number of approaches for using remotely located experiments to overcome these difficulties. More recently we have restructured our approach to also emphasize communications skills. To provide the learning-by-doing experience we used the Green Engineering theme experiments of the on-line laboratory facilities at UTC. To emphasize the communications aspect, WSU students were paired with other WSU students for conducting experiments. By working with their classmates peer pressure is brought to bear to encourage full participation by all students in the activity. The assignments divided into three parts: a data acquisition step, where the student had to request tests that characterized the system, a data analysis task, using data from the acquisition step, and a performance step, where the student had to instruct another student in order to obtain a specified performance for their system. While student’s prefer the easy route most of the students in this year’s group learned valuable lessons beyond just process control. It would appear that this is one of those situations where you may not like the approach but you realize that in the end it is good for you.
Investigation of a traumatic psychosis subgroup: a cluster analysis of an antipsychotic free cohort.

ABSTRACT Childhood trauma is linked to an increased risk of developing psychosis in adulthood. The extent and severity of trauma experienced is known to correlate with the intensity or presence of specific psychotic symptoms. The relative impact of types of abuse and neglect (sexual, physical, emotional) is unknown. Cluster analysis was used to create natural groupings of similarity based on Childhood Trauma Questionnaire Scores (CTQ) in a sub-sample of 51 anti-psychotic-free patients with diagnoses of Schizophrenia Spectrum Disorders from the ACTION trial. The derived clusters were compared on the Positive and Negative Syndrome Scale (PANSS) scores. Two clusters emerged: one characterized by abuse and the other by neglect. The abuse group was found to have significantly higher positive symptoms scores (p < 0.05). This is the first investigation of this concept in an un-medicated cohort that distinguished between trauma types using natural groupings in the data, and therefore, a more ecologically valid means of exploring the existence of a traumatic psychosis subgroup.
Fast Phrase Search for Encrypted Cloud Storage

Cloud computing has generated much interest in the research community in recent years for its many advantages, but has also raise security and privacy concerns. The storage and access of confidential documents have been identified as one of the central problems in the area. In particular, many researchers investigated solutions to search over encrypted documents stored on remote cloud servers. While many schemes have been proposed to perform conjunctive keyword search, less attention has been noted on more specialized searching techniques. In this paper, we present a phrase search technique based on Bloom filters that is significantly faster than existing solutions, with similar or better storage and communication cost. Our technique uses a series of <inline-formula><tex-math notation="LaTeX">$n$</tex-math><alternatives><mml:math><mml:mi>n</mml:mi></mml:math><inline-graphic xlink:href="poon-ieq1-2709316.gif"/></alternatives></inline-formula>-gram filters to support the functionality. The scheme exhibits a trade-off between storage and false positive rate, and is adaptable to defend against inclusion-relation attacks. A design approach based on an application's target false positive rate is also described.