Miracle-dz/UniFAR-FTUs huggingface dataset:
A Model- Based Research Material Recommendation System For Individual Users

As there is an enormous amount of online research material available, finding pertinent information for specific purposes has become a tedious chore. So there is a requirement of the research paper recommendation system to facilitate research scholars in finding their interested and relevant research papers. There are many paper recommendation systems available, most of them are depending on paper assemblage, references, user profile, mind maps. This information is generally not easily available. The majority of the prevailing recommender system is based on collaborative filtering that rely on other user’s proclivity. On the other hand, content-based methods use information regarding an item itself to make a recommendation. In this paper, we present a research paper recommendation method that is based on single paper. Our method uses content-based recommendation approach that employs information extraction and text categorization. It performs the profile learning by using naive Bayesian text classifier and generates recommendation on the basis of an individual’s preference.
Discourse Segmentation for Building a RST Chinese Treebank

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Community-Sourcing in Virtual Societies

The paper studies the approaches to development of goodswith active participation of virtual community members. The concept ofcommunity-sourcing is presented as an alternative to the open source modeland crowdsourcing. On that foundation a conceptual model of resourcemanagement system that use some current good practices of the IT industryis proposed. Results obtained in a virtual community implementing themodel are presented as a validation attempt.ACM Computing Classification System (1998): H.5. 3. , H.3. 5. , J.4. , K.3. 1. , K.4. 3. , K.6. 1.
La adicción a la nicotina: vulnerabilidad, epigénesis y modelos animales de estudio

Este articulo es un resumen de las investigaciones actuales sobre los efectos de la nicotina en el sistema nervioso y su relacion con la generacion de una conducta adictiva. Al igual que otros psicoestimulantes, la nicotina activa la via de la recompensa, la que tambien esta involucrada en ciertas enfermedades psiquiatricas. Existen individuos que presentan una alta vulnerabilidad a volverse adictos a la nicotina. Esto puede deberse a factores tanto geneticos como epigeneticos y/o al entorno. En este trabajo se describen algunos factores epigeneticos implicados en estos fenomenos. Para este tipo de estudios, existen dos modelos comportamentales en animales: la autoadministracion y el condicionamiento al lugar (CPP). Aqui, el CPP se explica en detalle por su potencial aplicacion en humanos. Ademas, se describe la determinacion comportamental de la actividad locomotora (lo cual indica el efecto causado por un psicoestimulante) como modelo para estudiar la vulnerabilidad individual a las drogas. Palabras claves:Adiccion a la Nicotina; Condicionamiento Clasico; Epigenesis; Vulnerabilidad. Nicotine addiction: studies about vulnerability, epigenesis and animal models: This article is a summary about the current research of nicotine effects on the nervous system and its relationship to the generation of an addictive behavior. Like other drugs of abuse, nicotine activates the reward pathway, which in turn is involved in certain psychiatric diseases. There are individuals who have a high vulnerability to nicotine addiction. This may be due to genetic and epigenetic factors and/or the environment. In this review, we described some epigenetic factors that may be involved in those phenomena. The two animal models most widely used for studying the reinforcing effects of nicotine are: self-administration and conditioning place preference (CPP). Here, we emphasized the CPP, due to its potential application in humans. In addition, we described the locomotor activity model (as a measure of psychostimulant effects) to study vulnerability to drugs of abuse. Key Words: Nicotine Addiction; Classical Conditioning; Epigenesis; Vulnerability. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:. 0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;}
Organizations As Rhetoric: Knowledge‐Intensive Firms And The Struggle With Ambiguity

This article discusses the concepts of knowledge-intensive workers and firms. the functional view is questioned and a perspective on knowledge as institutionalized myth and rationality-surrogate is proposed. the ambiguity of knowledge work is emphasized and it is argued that a crucial dimension of a knowledge-intensive organization concerns the struggle with this ambiguity, which leads to efforts to refine various rhetorical strategies. Besides those stressing knowledge, science and rationality, the article points to rhetoric describing employees in knowledge-intensive firms as possessing other personal qualities and orientations than personnel employed in bureaucracies.
Application of PID Neural Network Control System Based on Virtual Instrument

The PID neural network controller can make both neural networks and PID control into an organic whole, which has the merit of any PID controller for its simple construction and definite physical meaning of parameters, and also has the self-study and adaptive functions of neural network. The approach to realize neural network control in virtual instrument is researched. Combining virtual instrument technology and PID neural network together organically and adopting LabVIEW to design the module of PID neural network, which will improve performance of the control system and development efficiency.
The Relationship Between Media Multitasking and Attention Problems in Adolescents: Results of Two Longitudinal Studies

The increased prevalence of media multitasking among adolescents has raised concerns that media multitasking may cause attention problems. Despite cross-sectional evidence of the relationship between media multitasking and attention problems, no study has yet investigated this relationship longitudinally. It is therefore unclear how these two variables are related. Two 3-wave longitudinal studies with 3- and 6-month time lags were conducted. In total, 2,390 adolescents aged 11–16 provided data on media multitasking and attention problems. Findings from random intercept autoregressive cross-lagged models suggest that media multitasking and attention problems were strongly related between individuals. Empirical evidence for a potential detrimental long-term effect of media multitasking on attention problems was only found among early adolescents but not among middle adolescents.
Effective metropolitan governance is not an outcome just from a law making process. The Italian case

The Delrio law has been ruling in Italy since the beginning of 2015, and it defines the boundaries of the ex Italian provinces, as metropolitan perimeters. Consequently, numerous problems have arisen from the resulting spatial configuration, both in terms of governance and metropolitan visioning, since only in very few cities the newly established metropolitan boundaries are coherent with urban systems' dynamics and changes. The analysis of the Italian case helps to demonstrate that effective metropolitan governance does not stem only from a Government-driven and top down provision, and confirms that metropolitan development and governance require the development and strengthening of no-statutory and voluntary approaches, with a strong involvement of the business community. In order to illustrate and critically evaluate the recent Italian experience, this paper presents the results of a comparative analysis of a range of European polycentric metropolitan and industrial areas: Amsterdam (NL), Rotterdam-Den Haag (NL), Lille (FR), Barcelona (ES), Ruhrgebeit (DE). After a dramatic crisis caused by deindustrialisation and economic restructuring, they are all focusing on innovation, the establishment of new high-quality local services, and greater orientation to international competitiveness. These strategies do not stem directly from Government-driven regulation for local authorities, but are, to a large extent, dependent upon cooperative and nostatutory efforts. Moreover, the spatial scales of these initiatives are not always coincident with previous administrative boundaries. As a result, both in case of institutionalized metropolitan authorities as formal level of government, and in case of the absence of formal metropolitan institutions, this paper demonstrates that territorial cooperation is the essential basis for any metropolitan process, that often imply associations of municipalities and other local actors, sharing a common vision, and implementing strategic development projects.
Optical Thin Films of Metal Oxides Produced by the Sol-Gel Method for Photovoltaic Applications

The use of thin films in optoelectronic and photovoltaic devices is aimed at improving the physical properties of the substrate material. The modification of the surface of the silicon substrate is thus one of the greatest challenges in research on photovoltaic materials, in order to achieve even greater efficiency or better adapt their properties depending on the application. The technologies of applying layers vary depending on the effect to be obtained and the material from which the layer is formed. In practice, the most common method is chemical vapor deposition and physical vapor deposition, and the most commonly applied optical materials are SiO2, TiO2 and Si3N4.This paper presents the results of investigations on morphology and optical properties of the prepared aluminium oxide thin films. Thin films were prepared with use of sol-gel spin coating method. Surface morphology studies were carried out using an atomic force microscope. To characterize the surface of the thin films, 3D images and histograms of the frequency of individual inequalities were made. In order to characterize the optical properties of Al2O3 thin films, the reflectance and light transmission tests were performed using a spectrophotometer. Optical constants were determined using a spectroscopic ellipsometer. Results and their analysis show that the sol-gel method allows the deposition of homogenous thin films of Al2O3 with the desired geometric characteristics and good optical properties. Uniform, continuous thin layers with a roughness not exceeding a few nanometres were deposited. Their deposition enabled to reduce the reflection of light from the polished substrate below 15% in a wide range (425-800nm) while maintaining high transparencies (over 90%). The obtained results causes that mentioned thin films are good potential material for optics, optoelectronics and photovoltaics.
How to sequence video modeling examples and inquiry tasks to foster scientific reasoning

Abstract Scientific reasoning skills can be acquired through technology-enhanced inquiry tasks or video modeling examples showing how to conduct virtual experiments. However, inquiry tasks can be cognitively demanding for novice learners, whereas video modeling examples can induce overconfidence. The present study investigated the effectiveness of both approaches in isolation and combination. We compared the effects of four groups (example-example, example-task, task-example and task-task) on learning outcomes, perceived difficulty and mental effort, judgments of learning, and monitoring accuracy among 107 seventh graders. In line with our hypotheses, watching a video modeling example first led to lower mental effort, better learning outcomes, and higher judgments of learning than solving an inquiry task first. Contrary to our hypotheses, all groups underestimated their performance. Results for mental effort and learning outcomes corroborate research on worked examples, whereas results for judgments of learning and monitoring accuracy indicate an underconfidence-with-practice effect.
Design and Development of CLI for SleuthKit: A Cyber Forensics Framework

There are many cyber forensic tools available for extraction, making copy of original media and for analysis. Tools are inherent part of any cyber forensic investigation and they must be based on proven methodology and techniques admissible under legal procedure. The Sleuth Kit (TSK) is a popular open source cyber forensic tool constitutes a library and collection of command line tools that allow user to investigate disk images. These command line tools are difficult to use and the user have to use each one only independently. Output is also not saved for future reference and analysis. In this work, a common command line user interface is created for command line tools of sleuth kit and automates the process. Some other tools for hash calculation are also incorporated in the system to make it more efficient.
Impact of Solder Degradation on VCE of IGBT Module: Experiments and Modeling

Solder degradation is one of the main packaging failure modes in insulated gate bipolar transistor (IGBT) modules, which is usually evaluated through the change of thermal resistance. However, due to the strong electrothermal coupling in the IGBT module, solder degradation also affects electrical characteristics, such as ON-state voltage $V_{\mathrm {CE}}$ . The impact mechanism of solder degradation on $V_{\mathrm {CE}}$ is analyzed in this paper first. For the study of the solder degradation independently, a press-packing setup is designed for the accelerated aging test, which can remove the influence of bond wires degradation and significantly improve the experimental efficiency. Then, the IGBT equivalent resistance is defined, which conforms to Ohm’s law in the calculation and can respond to the real-time dynamic current. So, it could be conveniently used in the finite element method (FEM)-based simulation. Meanwhile, a realistic 3-D degradation model of the solder layer is constructed by an image processing method. Furthermore, an electrothermal coupling model based on the finite element is constructed to study the impact of solder degradation on the electrical and thermal characteristics of IGBT. Finally, the proposed degradation mechanism is verified by simulation and experimental results.
SOFT LITHOGRAPHY COMPATIBLE FABRICATION OF PARALLEL ELECTRODES IN MICROFLUIDIC DEVICES

This paper reports a fabrication process to integrate electrical sensors comprised of parallel electrodes into microfluidic devices that are manufactured using soft lithography. Our process facilitates placement of one of the electrodes over the plastic walls of the microfluidic channel, while leaving the counter-electrode on the glass substrate. With minimal fabrication complexity, our technique not only produces more uniform electric fields than conventional coplanar electrodes, but also is more suitable for the construction of complex electrical sensor networks in microfluidic devices due to greater layout flexibility.
Network coding based payload concatenation for relay-assisted V2V communications

: A reliable vehicle-to-vehicle (V2V) communication is essential for safe and highly automated driving system. The use of roadside relay stations (RSs) has been studied to assist the V2V communication and improve its reliability. However, its improvement is limited by possible packet congestion at RSs. In order to mitigate the packet congestion at RSs, in this letter, we propose a network coding based payload concatenation forwarding with a payload sorting and selection algorithm. Large-scale computer simulations confirm that the proposed scheme remarkably improves the reliability of V2V communications.
Study of the Properties and Cells Growth on Antibacterial Electrospun Polycaprolactone/Cefuroxime Scaffolds

Abstract Electrospun materials are good candidates for the design of tissue regeneration scaffolds as they can simulate the natural surroundings of tissue cells. The study proposes electrospun polycaprolactone (PCL)/cefuroxime (CFU) scaffolds for human cell culture and investigates the influence of the antibiotic content on scaffold morphology, thermal and mechanical properties. The increase in the CFU concentration resulted in the reduction of fiber diameter and number of deformations. It also influenced the reduction of scaffold thermal enthalpies and improved scaffold break strength. With regard to cell growth, the scaffolds showed precedence in greater colonization of the HeLa cells. Finally, these scaffolds showed compatibility with standard human cell lines, and thus they can be used for the repair of damaged tissues.
Preparation and Characterization of Poly(Methyl Methacrylate) (PMMA) Fibers by Electrospinning

Fibers are materials with advantageous properties such as lightweight material properties, has small pore size, and has high surface area, porosity,and permeability. An easy and simple method to prepare fibers is electrospinning. Using this method poly(methyl methacrylate) (PMMA) fibers were prepared. Several parameters include polymer concentration, solution flow rate, the distance of the nozzle tip to the collector, and the applied voltage were investigated to control the morphology, structure, and diameter of PMMA fibers. The Optimal electrospinning conditions for PMMA fibers production were a PMMA concentration is 8% (w/v), a power supply voltage is 20 kV, a distance of the tip of the nozzle to the ground collector is 15 cm, and a flow rate is 0.004 mL/min. The diameter distribution and morphology of the fibers were determined and characterized by Optical Microscopy and Scanning Electron Microscope (SEM), which showed that the produced fiber had an average diameter of 1.4925 µm, the contact angle of fiber PMMA is 125.307o and the spreading time of fibers PMMA is about 360 minutes
Review: Voltage induced strain control of magnetization: computing and other applications

Strain and acoustic waves provide extremely energy efficient means to control magnetization in nanoscale and microscale magnetostrictive materials and devices. This could enable a myriad of applications, such as non-volatile memory, neuromorphic computing, microfluidics, microscale and nanoscale motors, and the generation of electromagnetic waves with sub-wavelength antenna. In this review, we discuss the developments in control of magnetism at the micro and nanoscale with strain, as well as its potential applications in computing and other emerging areas.
Tunneling nanotube‐like structures in brain tumors

Diffuse astrocytomas, including glioblastomas, are malignant brain tumors with notorious resistance to standard therapies. One hallmark of malignant gliomas is their highly infiltrative growth. To allow long‐range communication, exchange of molecules, and cell‐cell contact between these scattered tumor cells, mechanisms other than paracrine signaling seem requisite.
Infinite Mixture Model of Markov Chains

We propose a Bayesian nonparametric mixture model for prediction- and information extraction tasks with an efficient inference scheme. It models categorical-valued time series that exhibit dynamics from multiple underlying patterns (e.g. user behavior traces). We simplify the idea of capturing these patterns by hierarchical hidden Markov models (HHMMs) - and extend the existing approaches by the additional representation of structural information. Our empirical results are based on both synthetic- and real world data. They indicate that the results are easily interpretable, and that the model excels at segmentation and prediction performance: it successfully identifies the generating patterns and can be used for effective prediction of future observations.
An Enhancement Method for Android Permission Mechanism based on Context

A context-related permission model is proposed for the few control over the permission use of the Android permission mechanism. Also extend the Android system to implement a context-related permission executing system based on the context-related permission model. By enhancing the Android permission mechanism , the context-related permission executing system could identify the real origin of permission request and have a fine-grained control over permission use, which can effectively prevent the intra-application malicious code attack. Experimental results show that the context-related model can effectively control the permission use of application and introduce little performance overhead compared to Android system.
Improving optical burst switching networks (OBS) performance by adjusting maximum burst size and burstification time

Received: 23 January 2018 Accepted: 19 March 2018 Because Optical Burst Switching (OBN) networks don’t have buffers it leads to problems like burst lost and burst contention when arriving at the destination. These problems downgrade OBS networks performances. When traffic of the network is not heavy burst contention can happen, but when it happens the network thinks the traffic is heavy and it decreases the rate of sending bursts when it’s not necessary. Another important factor in our paper is Packet Delivery Ratio (PDR). Packet loss can happen in two ways in the network: one is because of heavy load and the other one is because of burst contention. In this paper we adjust the burst size and burst creation time to improve the performance of the OBS network. We simulate our algorithm in NS-2 then compare it with another scheme.
Study on preparation process and shielding effectiveness of graphene films

In order to improve the shielding effectiveness of graphene films, graphene films were prepared by chemical vapor deposition. The effects of hydrogen flow rate, methane flow rate, reaction temperature and reaction time on the electromagnetic shielding properties of the films were investigated. The shielding effectiveness of the film was tested and the preparation process of the film was optimized based on the test results. The results show that when the hydrogen flow rate is 8sccm, the methane flow rate is 15sccm, the reaction temperature is 1030°C, and the reaction time is 30minutes, the shielding effectiveness of the film is 1.2dB (0.3-3000MHz) and the average transmittance is 96%. (400-800nm), the photoelectric comprehensive performance is better.
IoT –Based Information Systems in Seed-to-Fork Food Production

Agribusiness industry and food production are dealing with perishable products, unpredictable production and supply chain management variations, tendency to maximize waste reduction and adherence to strict regulations related to food safety. The Internet of Things (IoT) includes several technologies that can be put into practice, in order to respond to all these demands and resolve challenges, as it allows remote control of the production conditions and distribution of products. In this paper, an architecture for IoT-based information systems in seed-to-fork food production is proposed. The architecture includes IoT from the first to the last phase of production, distribution and even feedback consumers. The authors propose a hybrid solution that combines the IoT and Future Internet.