Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding Solid Solution Strengthening at Elevated Temperatures in a Creep-Resistant Dilute Mg-Gd-Ca Alloy

The present work studies the strengthening mechanisms of a low-cost creep-resistant Mg-0.5Gd-1.2Ca (at.%) alloy at both room and elevated temperatures. Although peak-ageing (T6) at 180°C for 32 h led to a significant increase in room temperature strength due to the precipitation strengthening by three types of precipitates (Mg<sub>2</sub>Ca, Mg<sub>5</sub>Gd on prismatic planes and a new type of Mg-Gd-Ca intermetallic compound on the basal plane), the as-solid solution treated (T4) alloy exhibited better resistance to temperature softening during compression and to stress relaxation at 180°C and better creep resistance at 210°C/100 MPa. The Gd-Ca co-clusters with short-range order in the Mg solid solution, which was verified, at the first time, by atom probe tomography (APT) analysis and atomic-resolution high angle annular dark field-scanning transmission electron microscopy (HAADF-STEM), were responsible for the solid solution hardening, offering a more effective strengthening effect through local order-strengthening. Such solid solution strengthening increased the thermal stability of the alloy structure at elevated temperatures, at least at early stage of the creep. Subsequently, dynamic precipitation started contributing to the creep resistance due to the formation of higher density of precipitates. However, in the T6 alloy, creep testing at elevated temperatures, particularly at 210°C that was higher than the ageing temperature, led to coarsening of the precipitates, which acted as over ageing. As a result of such over ageing, the resistance of the T6 alloy to heat-induced softening was weakened, leading to lower creep resistance than the T4 alloy.
Finansal Açıdan Hollanda Hastalığı ve Doğal Kaynak Lanetinin Paradoksal Etkileri (Paradoxical Effects of the Dutch Disease and Natural Resource Curse from the Financial Perspective: A Literature Review)

Turkey Abstract: Bu makale, bir ülkede doğal kaynak kapsamında petrol ve doğalgaz rezervlerinin bulunması durumunda bu durumun ülke üzerindeki ekonomik etkilerini bulmayı amaçlamaktadır. Dolayısıyla, Hollanda Hastalığı’nın uzun dönemde ülke ekonomisine olacak muhtemel negatif etkileri hakkında var olan literatürün güçlü bir destek sağlayıp sağlamadığı araştırılmaktadır. Literatür taraması, bir ülkenin önemli miktarda petrol ve doğalgaz yatağı bulması sonucunda büyük ölçekli ihracata başlamasının, ülkenin reel döviz kurunun değer kazanmasına, böylece yurtdışı rekabet gücünün azalmasıyla ülkenin geleneksel ihracat kalemlerinin ve geleneksel olmayan ihracat kalemlerinin daralmasına neden olacağını vurgulamaktadır. Bu sürecin ekonominin yapısal değişimiyle sonuçlanarak, bu yeni yapılanmada işsizliğin artacağı öngörülmektedir. Buna karşın, petrol ve doğalgaz ithalatından elde edilecek tasarrufların kalkınmayı teşvik etmek için kullanılabilecek olumlu bir faktör olduğu kabul edilir. Bu durumda asıl kritik mesele, bir ülkede petrol ve doğalgaz rezervlerinin bulunması durumunda olumlu ile olumsuz etkilerine birlikte bakabilmektedir. English Abstract: This article aims to find the economic effects on a country if the mentioned country has a sudden oil and gas reserves discovery in terms of natural resources. Therefore, it is investigated whether the existing literature on the possible negative effects of the Dutch Disease on the country's economy in the long term provides a strong support. The literature review emphasizes that, the start of largescale exports as a result of a country's finding a significant amount of oil and gas deposits will cause the country's real exchange rate to gain value, thus reducing its international competitiveness, and the contraction of the country's traditional export items and non-traditional export items. This process predicts that, unemployment will increase in this new structuring, causing an unemployment rise in the structural change of economy. On the other hand, savings to be gained from oil and gas imports are considered as a positive factor that can be used to encourage economic development. In this situation, the critical issue is to consider both the positive and negative impacts together when oil and gas reserves are discovered in a particular country.
A Survey on Effective Implementation of Control Scheme in Processors

In today’s computer age, the processor plays a major role. A processor is the heart of the computer. These are the days where Nano components play a major role. Hence there is a need for a processor’s size to be reduced and an effective control implementation scheme is necessary. Hence, this paper made a survey on how to implement an effective control scheme. It helps the computer architects in choosing the better control implementation scheme while designing a processor for equipment like laptops, mobile phones, Personal computers etc.
High Temperature Stability and Mechanical Quality Factor of Donor-Acceptor Co-Doped BaTiO 3 Piezoelectrics

Low temperature stability has limited the applications at elevated temperature for ABO<sub>3</sub>-type lead-free ceramics. And multi-grade resonances of piezoelectric ceramics are hardly obtained although the resonances are very important in some applications such as filter and resonator. High piezoelectric properties and large mechanical quality factors with multi-grade resonances can be obtained in (Li<sup>+</sup>-La<sup>3+</sup>) co-doped BaTiO3 ceramics, and excellent temperature stabilities are achieved in the ceramics. It has been shown that the thermal treatments both with and without electric field at 200 ℃ improve the piezoelectric properties and thermal stability further. Large piezoelectric constant (272 pC N<sup>-1</sup>) and huge mechanical quality factor (2012) was obtained after thermal-electrical treatment, which is caused by Li<sup>+</sup>-La<sup>3+</sup> ionic pair aligning along the external electric filed during thermal-electrical treatment. Moreover, the present study provides an effective method to design combination properties with high temperature stability for ABO<sub>3</sub> perovskite ferroelectric ceramics.
Integrated Intelligent Framework for Sensor Data Analysis

Increased smart devices in various industries is creating numerous sensors in each of the equipment prompting the need for methods and models for sensor data. Current research proposes a systematic approach to analyze the data generated from sensors attached to industrial equipment. Time to failure data is generated using the end of life information of assets available from the historical data. The methodology involves data cleaning, pre-processing, basics statistics, outlier, and anomaly detection. Present study presents the prediction of RUL by using various Machine Learning models like Regression, Polynomial Regression, Random Forest, Decision Tree, XG Boost. Hyper Parameter Optimization is performed to find the optimal parameters for each variable. In each of the model for RUL prediction RMSE, MAE are compared. Outcome of the RUL prediction should be useful for decision maker to drive the business decision; hence Binary classification is performed, and business case analysis is performed. Labels for Binary &amp; Multi class classification are can be generated from the asset operation needs and maintenance manuals. Business case analysis includes the cost of maintenance and cost of non-maintaining a particular asset. Current research is aimed at integrating the machine intelligence and business intelligence so that the industrial operations optimized both in resource and profit. Multi Class classification is developed to find the classes based on multiple time periods for components maintenance. Planning &amp; Maintenance of the fleet of assets is performed based both binary and multi class classification algorithm.
A Review on Modified Gate Diffusion Input Logic: An Approach for Area and Power Efficient Digital System Design

In recent days, the main motto of VLSI designers is to reduce the power and area as devices are becoming battery-operated, compact and require enhanced functionality and features. Due to the scaling and shrinking of devices, the transistor leakage power has increased at an exponential rate. In this paper, analysis on the research based on the Modified gate diffusion input technique (m-GDI) which has gained much attention in recent days are encompassed. Consequently, 31 research papers homologous to m-GDI technique are assessed and analysed based on the numerous targets. In this review, we present the m-GDI Technique, a low power technique and scrutinize the modern breakthroughs with several pros and cons. The thorough examination is done on finding the inclusion of the issues, methodologies, simulation tools and technologies used.
Social Media for Global Marketing in KPS Technologies, Chennai

The interpersonal interaction sites are picking up a significant number prominence nowadays with practically all the educated youth the utilization of either such site. These have played out a basic capacity in spanning limits and intersection the oceans and enabling them to talk on a typical stage. It has end up a popular and a capacity infer for them to remain companions with the predominant ones and to create up their group of friends as a base as far as associates. The inquiry concerning the well-being, security and the legitimate issues were springing up this time. Through this examinations we endeavor to find the impact of those systems administration sites on the non-open and expert existences of individuals the use of them. It is a totally abstract inquiry to reply and might be very feeling principally based and the equivalent is contemplated in the examinations strategy embraced with the guide of us. The record is started with the meaning of the goal followed with the examinations strategy utilized nearby the exploration configuration, test size, strategies utilized for the rationale of participating in review. It likewise conveys the examining outline and the measurements arrangement strategy.
Biomedical Application of PLGA Based Pulsatile Microspheric Formulation: A Review

As infectious diseases spread worldwide, the need of vaccine development using novel technology has grown immensely, since the major disadvantage of several currently available vaccines is the need for repeated administration thus biodegradable microspheres is required to release vaccine as controlled &amp; long term manner. Due to the easy degradation of drug by proteolytic enzyme &amp; poorly absorbed, use of oral medication also diminished now a days. Thus, optimal drug delivery and therapy should be effectively controlled to achieve the desired therapeutic plasma concentrations. Polymer microspheres can be employed to deliver medication in a rate-controlled and sometimes targeted manner. The biocompatibility nature of PLGA is important components in the design and development of biodegradable microspheres containing bioactive agents for therapeutic application. In this review we have discussed how PLGA pulsatile microspheric vaccine play a vital role in all the infectious diseases like polio, diphtheria and all pandemic infectious diseases and their advancement technologies.
Survey on Key Management Schemes and Cluster based Routing Protocols in Wireless Sensor Network

Sensor nodes in the wireless sensor networks are low cost tiny devices with limited storage, computational capability and power except the sink node. Sink node has no resource limitation. WSNs have wide range of application in the real world problem such as military and civilian domain etc. Energy efficient and security are two major issues of sensor network due to unattended and unprotected. The sensors have limited battery power and low computational capability, thus requires a security mechanism that must be energy efficient. In this paper, we identify the some existing schemes of key management in WSNs. Secure key management has been becoming important critical elements when integrating cryptographic functions into a system. An outline of symmetric and asymmetric key cryptography Key infection schemes are discussed in this paper. As a consequence, we analyze the advantages and disadvantages of current secure key management schemes.
Shareholder coordination, investment horizon and hedge fund activism

ABSTRACT I examine the role of institutional investors in hedge fund activists’ target selection. I argue that the coordination power and the investment horizon of institutional investors are important factors in explaining target selection. I find that hedge fund activism is higher in firms that institutional investors with long-term horizons invest as well as firms where coordination ability among existing shareholders is less pre-intervention. However, coordination ability increases after the intervention. Furthermore, hedge fund demands and success rates differ with the coordination ability and investment horizon of investors. Firms with investors that have long-term investment horizons and increased coordination ability are more likely to receive demands on board representation, value maximization and corporate governance improvements. Firm performance improvements are the most visible where institutional investors have a long horizon and where coordination among existing institutional investors increases. Overall, the results suggest that coordination ability and investment horizon of existing institutional shareholders are important factors in explaining target selection and strategies explored by hedge fund activists as well as their effects on firm value. The findings support the notion of coordination and collaborative monitoring role of long-term institutional investors with and hedge fund activists.
Data Rate Analysis of κ-μ Shadowed Fading Channels for IoT Applications

The κ-μ shadowed fading channel represents realistic fading channels encountered in the wireless sensor network for the internet of things (IoT). This fading channels model represents the channel encountered in communicating device-to-device (D2D) for IoT applications. This paper investigates the maximum D2D rate of data transfer on the κ-μ shadowed fading channel. The expressions of data rate on Channel inversion with fixed rate, Truncated channel inversion with fixed rate, Optimal rate adaptation with constant power and Optimal power and rate adaptation are derived. The impressions of the fading parameters κ, μ and m are studied.
Development of a Combined Coding Scheme for a Hybrid Genetic Algorithmwith Sequential Quadratic Programming (GA-SQP) and a Bat Algorithm (BA) for Mixed Integer Nonlinear Programming (MINLP)

This study seeks to optimize the process of mixed integer nonlinear programming (MINLP) using BA_GA-SQP, which is a coding combination of a hybrid genetic algorithm with a bat algorithm (BA), using sequential quadratic programming (GASQP). Initially, the population is divided into discrete and continuous variables, whereupon optimization of the discrete variables is performed using the adapted BA, while the GA-SQP is employed to optimize the continuous variables, making use of discrete variable information obtained from the adapted BA. This allows a smaller population to be set than would usually be the case in order to reach a global solution. A number of common MINLP problems from the field of chemical engineering were used to verify the proposed BA_GA–SQP algorithm. In the problems tested, the fitness values were able to achieve the global optimum.
Herramientas software para evaluar la transmisión de videos H.264 mediante NS-3 (Software Tools to Evaluate the Transmission of H.264 Videos Using NS3)

<b>Spanish Abstract:</b> Evaluar los servicios de video streaming puede involucrar un proceso complejo y costoso si se realiza sobre un sistema real. Debido a esto la mejor alternativa es el uso de software de simulación. Sin embargo, los simuladores de redes no tienen incorporado las herramientas necesarias para generar tráfico de video y evaluar la calidad de dicho contenido. En este artículo se describe la integración del simulador de redes de comunicaciones NS-3 con la plataforma de evaluación de videos EVALVID. La plataforma conformada por estas dos herramientas se convierte en una herramienta de modelado y simulación, adecuada para desarrollar evaluaciones del desempeño de servicios de video streaming sobre diferentes escenarios y tecnologías de red. Una de las principales contribuciones de este trabajo es la descripción del procedimiento para integrar las dos plataformas, así como la definición de una metodología para implementar estudios de transmisión de video. A manera de demostración, se presentan los resultados de la evaluación de la transmisión de un video codificado de acuerdo con el estándar H.264 sobre una red de datos. La calidad del video recibido fue evaluada por medio de dos métricas (PSNR Y SSIM) que permiten establecer la degradación sufrida por el video durante su transmisión. <br><br><b>English Abstract:</b> Evaluating streaming video services can involve a complex and expensive process if this is done on a real system. Because of this the best alternative is the use of simulation software. However, network simulators do not have the necessary tools to generate video traffic and evaluate the quality of such content.This article describes the integration of the network simulator NS-3 with the video evaluation platform called EVALVID. The platform formed by these two tools becomes a modeling and simulation tool, suitable for developing performance evaluations of video streaming services on different scenarios and network technologies. One of the main contributions of this work is the description of the procedure to integrate the two platforms, as well as the definition of a methodology to implement video transmission studies. As a demonstration, the results of the evaluation of the transmission of an encoded video according to the H.264 standard over a data network are presented. The quality of the received video was evaluated by means of two metrics (PSNR and SSIM) that allow to establish the degradation suffered by the video during its transmission. <br>
Effect of Graphite Addition on Mechanical Properties and Elevated Temperature Tribological Behaviour of Aluminium Zinc Alloy

The objective of this experimental work was to study the sliding wear behavior of aluminum-zinc alloy based metal matrix composite (MMC) reinforced with the varying weight percentage of graphite particulate (1, 3 and 5wt%). The composites were manufactured using stir casting technique. The sliding wear studies of the fabricated composites have been conducted as per Taguchi’s L27 orthogonal arrays at different sliding speed (1.05-3.14 m/s), applied Pressure (0.37-1.14MPa), temperatures (30-900C) and fixed sliding distance (2000m) using a pin on disc tribometer. The microstructure examination of the worn out surfaces of composites specimens was carried out using a scanning electron microscope (SEM). As wear is a complicated phenomenon, an artificial neural network (ANN) technique was used for better prediction of the wear behavior of composites. The analysis of variance (ANOVA) and signal to noise ratio indicate that the temperature is most responsible control factor for the wear loss of composite specimen, followed by the load, speed and reinforcement. The minimum wear was observed for the composite with 3% reinforcement of graphite and least value of temperature, load, sliding speed. The correlation between response and control factor is obtained by multiple regression analysis using MINITAB software. The experimental wear results are matches with the wear results obtained from predictive Taguchi’s model and ANN model. Less worn out surface and shallow grooves were observed in the composites with 3% reinforcement of graphite.
Human Brain Imbued Higher Brain Centre Activated Robot

Brain Computer Interface (BCI) Systems give venue for human brain to communicate with an external device via a non-physiological path. It replaces the use of nerves and muscles of the human brain with a combination of hardware and software, which translates electrophysiological signals into physical actions. It differs from neuro-modulation in that it allows for bidirectional information flow. These are often directed at researching, mapping, assisting, augmenting, or repairing human cognitive or sensory motor function. From initial demonstrations of electroencephalography-based spelling and single-neuron based device control, researchers have gone on to use electroencephalographic, intra-cortical, electro-corticographic and other brain signals for increasingly complex control of cursors, robotic arms, prosthetics, wheelchairs, and other devices related to rehabilitation engineering. Automated devices obviously can acquire intelligence and may also work similarly or differently to tackle wide range of tasks. But there is no automated robotic device available which is having enough intelligence to replicate itself. Generally the brain signal is received by electrodes placed on the scalp and is converted into programmed codes and then translated into commands that can control an output device, such as a spelling program, a motorized wheelchair, or a prosthetic limb. Feedback from the device can enable the user to modify their brain signals in order to maintain the performance of the automated device in a much more efficient manner. If those decoded codes (signals) coming from the subjects’ brain could be applied as inbuilt program of an artificial intelligence robot, then that robot might behave in a way as the subject with respect to his/her brain function. This paper has the objective to design and develop a higher brain centre activated robot that is still not available.
Effect of Annealing In(OH)xSy Thin Films Grown by Chemical Bath Technique

Indium Hydroxy Sulphide has demonstrated abundance in resources, low prices, nontoxic characteristics, radiation resistance, high temperature resistance, and chemical stability, and therefore it has become an extremely important photoelectric, photovoltaic, and light sensing thin film material. Some treatment on this material include thermal annealing which is a process used for intrinsic stress liberation, structural improving, and surface roughness to control its electro-optical properties. In a qualitative way, annealing modifies surface morphology, intrinsic parameters, and electron mobility with temperature and time. In this work, an explanation on the surface modification of In(OH)<sub>x</sub>S<sub>y</sub> thin films when subjected to an annealing process is discussed. Both electrical and optical effects caused by annealing were carried out and characterizations was performed at different annealing temperatures in nitrogen in the temperature range 373–573 K. Using optical measurements data and simulated data, Scout software was employed and the results showed that increasing annealing temperature causes a slight decrease in transmittance with a consequence of modifying the energy band gaps values between 2.79–3.32 eV. It was concluded that annealing influence optical transmittance and resistance of the film make the thin films potential for photovoltaic, and light sensing applications.