Miracle-dz/UniFAR-FTUs huggingface dataset:
1.55 micrometer ridge DFB laser integrated with a buried-ridge-stripe dual-core spot-size converter by quantum-well intermixing

A ridge distributed feedback laser monolithically integrated with a buried-ridge-stripe spot-size converter operating at 1.55 micrometre wavelength was successfully fabricated by means of low-energy ion implantation quantum-well intermixing and dual-core technologies. The passive waveguide was optically combined with a laterally exponentially tapered active core to control the mode size. The devices emit in a single transverse and single longitudinal mode with a sidemode suppression ratio of 38.0 dB. The threshold current was 25 mA. The beam divergence angles in the horizontal and vertical directions were as small as 8.0 degree X 12.6 degree, respectively, resulting in 3.0-dB coupling loss with a cleaved single-mode optical fiber.
Dynamic internalization and recycling of a metal ion transporter: Cu homeostasis and CTR1, the human Cu+ uptake system

ABSTRACT Cu ion (Cu) entry into human cells is mediated by CTR1 (also known as SLC31A1), the high-affinity Cu transporter. When extracellular Cu is raised, the cell is protected against excess accumulation by rapid internalization of the transporter. When Cu is lowered, the transporter returns to the membrane. We show in HEK293 cells overexpressing CTR1 that expression of either the C-terminal domain of AP180 (also known as SNAP91), a clathrin-coat assembly protein that sequesters clathrin, or a dominant-negative mutant of dynamin, decreases Cu-induced endocytosis of CTR1, as does a dynamin inhibitor and clathrin knockdown using siRNA. Utilizing imaging, siRNA techniques and a new high-throughput assay for endocytosis employing CLIP-tag methodology, we show that internalized CTR1 accumulates in early sorting endosomes and recycling compartments (containing Rab5 and EEA1), but not in late endosomes or lysosomal pathways. Using live cell fluorescence, we find that upon extracellular Cu removal CTR1 recycles to the cell surface through the slower-recycling Rab11-mediated pathway. These processes enable cells to dynamically alter transporter levels at the plasma membrane and acutely modulate entry as a safeguard against excess cellular Cu. Summary: Regulatory endocytosis and recycling processes of CTR1 via clathrin-mediated and Rab11 pathways enable cells to dynamically alter transporter levels at the plasma membrane and acutely modulate Cu entry.
Robustness analysis of large power systems with parametric uncertainties

The increasing complexity of power systems imposes a challenge to the analysis and determination of stability margins. Uncertainty modeling and analysis is crucial in this context. This paper examines the use of robust stability theory to assess small signal stability margins of large systems with respect to real parametric uncertainties arising from changes in system operating conditions. Based on a heuristic small signal robust representation of the power system, techniques to reliably estimate small signal stability margins are discussed. The accuracy, efficiency and robustness of the procedure is tested on a 6-area 377-generator model of the Mexican interconnected system. The effects of various operating uncertainties on modal behavior are discussed. Specifically, we investigate and discuss the influence of variations in the power flow of a critical intertie, and the use of TCSC transmission support on the damping of a critical inter-area mode. Comparisons of the stability margins computed using the proposed technique and those obtained from detailed small signal stability studies confirm that robustness analysis provides an accurate estimate of stability limits
The effects of acebutolol alone and in combination with furosemide or hydralazine in experimentally induced hypertensive G-minipigs.

Experimentally induced hypertensive G-minipigs were used for assessing the antihypertensive effects of acebutolol, a cardioselective beta-adrenergic blocking agent. In the acute experiment, six females were used. Acebutolol (3 mg/kg, i.v.) alone or in combination with furosemide (1 mg/kg, i.v.) or hydralazine (1 mg/kg, i.v.) was administered through an implanted catheter. In the chronic experiments, five females received oral acebutolol (100-200 mg/day). The blood pressure, heart rate, plasma renin activity (PRA) and plasma aldosterone concentration (PAC) were used as parameters. In the acute experiment, there were no marked changes in the blood pressure or heart rate during the nondosing period. Acebutolol alone caused a marked decrease in the blood pressure and heart rate. In the two combination tests, combined administration with acebutolol and furosemide had a greater effect on the blood pressure and heart rate than did acebutolol alone. A combined acebutolol and hydralazine regimen caused a slight reduction not only in the blood pressure, but also in the heart rate compared with acebutolol alone. PRA and PAC remained essentially constant, with minor fluctuations, throughout the nondosing period. Following the injection of acebutolol alone, PRA showed an elevation with a significant rise after three hours and PAC showed a tendency to increase. PRA and PAC generally tended to increase in the case of combined administration with furosemide or hydralazine, but these tendencies were less conspicuous than with acebutolol alone. On the other hand, chronic treatment with acebutolol produced a significant decrease in the heart rate from two weeks after the administration and in the blood pressure from four weeks. (ABSTRACT TRUNCATED AT 250 WORDS)
Efficient Idle Virtual Machine Management for Heterogeneous Cloud using Common Deployment Model

This paper presents an effective management of VM (Virtual Machine) for heterogeneous cloud using Common Deployment Model (CDM) brokering mechanism. The effective utilization of VM is achieved by means of task scheduling with VM placement technique. The placements of VM for the physical machine are analyzed with respect to execution time of the task. The idle time of the VMis utilized productively in order to improve the performance. The VMs are also scheduled to maintain the state of the current VM after the task completion. CDM based algorithm maintains two directories namely Active Directory (AD) and Passive Directory (PD). These directories maintain VM with proper configuration mapping of the physical machines to perform two operations namely VM migration and VM roll back. VM migration operation is performed from AD to PD whereas VM roll back operation is performed from PD to AD. The main objectives of the proposed algorithm is to manage the VM’s idle time effectively and to maximize the utilization of resources at the data center. The VM placement and VM scheduling algorithms are analyzed in various dimensions of the cloud and the results are compared with iCanCloud model.
A Comprehensive Study on IoT Based Accident Detection Systems for Smart Vehicles

With population growth, the demand for vehicles has increased tremendously, which has created an alarming situation in terms of traffic hazards and road accidents. The road accidents percentage is growing exponentially and so are the fatalities caused due to accidents. However, the primary cause of the increased rate of fatalities is due to the delay in emergency services. Many lives could be saved with efficient rescue services. The delay happens due to traffic congestion or unstable communication to the medical units. The implementation of automatic road accident detection systems to provide timely aid is crucial. Many solutions have been proposed in the literature for automatic accident detection. The techniques include crash prediction using smartphones, vehicular ad-hoc networks, GPS/GSM based systems, and various machine learning techniques. With such high rates of deaths associated with road accidents, road safety is the most critical sector that demands significant exploration. In this paper, we present a critical analysis of various existing methodologies used for predicting and preventing road accidents, highlighting their strengths, limitations, and challenges that need to be addressed to ensure road safety and save valuable lives.
Relating electrical and computer engineering to the high school classroom

In this work, examples from educational programs targeted at high school students and teachers were implemented. The aims of this paper were both to enhance their understanding of how electronics technology works by an intuitive, rather than a mathematical approach, and to raise consciousness of and interest in electronics technology while demonstrating the relevancy of high school course subjects by showing their application to "real-world" electronics. Some suggestions on how the results of current research can be used for the same purposes were also offered.
An Improved Methodology for Extracting the Interface Defect Density of Passivated Silicon Solar Cells

The interface properties of the dielectric layer passivated silicon wafers can be characterized by capacitance-voltage, surface photovoltage, or contactless corona-voltage measurements. Conventionally, U-shaped interface defect density distributions Dit(E) are reported. However, in this study, the reported interface defect density toward the silicon conduction or valence band edges is proven to be an artefact, or at least strongly overestimated. This stems from the fact that the formula used for Dit extraction is valid only at very low temperatures, whereas measurements are typically performed at ~300 K. We propose an improved methodology for Dit(E) extraction, which can self-consistently reproduce the raw data of contactless corona-voltage measurements. Applying this advanced methodology, the interfaces of several dielectric layers passivated n-type Czochralski-grown silicon wafers are investigated. In addition, the extracted Dit(E) distributions of these samples are then used to analyze their effective carrier lifetime performance.
Adoption of Internet Technologies in Small Businesses

The adoption of information technology represents a problem of magnitude to small business entrepreneurs. Situation they are facing is different from larger corporations, making technology adoption behavior different from them. This study reports on antecedent drivers of small business adoption of Internet technologies. A behavioral model of innovation acceptance was developed with its foundation on previous literature on technology acceptance and innovation adoption research focused on small businesses. The model posits relationships of relative advantage of using IT, compatibility, ease of use, computer selfefficacy, financial slack of the firm, innovativeness of the firm, image of IT, and competitive pressure against the adoption behavior of four different Internet technologies -email, business homepage, e-sales and e-procurement. The results confirm the strong association of these antecedents with the adoption behavior and reveal different patterns of adoption behavior across different technologies. Different compositions of these antecedents provide insights on theoretical development of Internet technology acceptance model. Theoretical and practical implications are discussed.
A Study on in-Vocabulary Word Segmentation

Since the first Chinese Word Segmentation (CWS) Bakeoff in 2003, CWS has experienced a prominent flourish because Bakeoff provides a platform for the participants, which helps them recognize the merits and drawbacks of their segmenters. However, the evaluation metric of Bakeoff is not sufficient to measure the performance thoroughly; sometimes it is even misleading. One typical example caused by this insufficiency is that there is a popular belief existing in the research field that segmentation based on word can yield a better result than character-based tagging (CT) on in-vocabulary (IV) word segmentation even within closed tests of Bakeoff. Many efforts were paid to balance the performance on IV and out-of-vocabulary (OOV) words by combining these two methods according to this belief. In this paper, we provide a more detailed evaluation metric of IV and OOV words than Bakeoff to analyze CT method and combination method, which is a typical way to seek such a balance. Our evaluation metric shows that CT outperforms dictionary-based (or so-called word-based in general) segmentation on both IV and OOV words within Bakeoff closed tests. Furthermore, our analysis shows that using confidence measure to combine the two segmentation results should be under certain limitation.
Modelagem de microbomba peristaltica de elastomero usando a tecnica de analogias eletro-mecanicas

Os sistemas microfluidicos estao evoluindo rapidamente, encontrando vastas aplicacoes na mais diversas areas do conhecimento. Os Lab-on-Chips, LOCs, sao dispositivos capazes de realizar analises quimicas e bioquimicas em um unico chip. Este dispositivo pode causar grande impacto no mercado de analises laboratoriais, por este motivo vem ganhando grande atencao Para realizar estas analises os LOCs necessitam de microbombas capazes de transportar quantidades infimas de fluidos em seus canais de maneira acurada e uniforme. Desta forma, o interesse em modelar e fabricar microbombas tomou-se uma area fertil para a pesquisa. Neste trabalho foi desenvolvida a modelagem de uma microbomba peristaltica de elastomero, tipo de bomba mais conveniente para Lab-on-Chips, utilizando a tecnica de analogias eletro-mecânicas que consiste em representar um dispositivo por um circuito eletrico equivalente. As analises das simulacoes podem ser realizadas usando programas de analise de circuitos eletricos. Dois modelos foram apresentados neste trabalho. O primeiro e a reproducao do modelo de bomba criado por Jacques Goulpeau, em que o modelo de uma valvula e extrapolando para toda a microbomba. O segundo contem o circuito eletrico equivalente da bomba completa mostrando a interacoes entre suas partes. Os resultados mostram que o comportamento da microbomba nao pode ser completamente descrito pelo modelo extrapolado a partir de uma valvula, devido as interacoes entre tres valvulas. As simulacoes do circuito equivalente da bomba completa mostraram que os efeitos das interacoes entre as valvulas explicam claramente a diferenca entre a vazao prevista pelo modelo de Goulpeau e os dados experimentais por ele obtidos, sendo possivel ajustar o modelo aos dados experimentais Abstract
Xenia: A context aware tour recommendation system based on social network metadata information

Tour planning and point-of-interest (POI) recommendation are two challenging and time-consuming tasks for tourists, predominately due to the large number of POIs a travel destination may contain and the complex constraints and parameters associated with the trip itself (e.g., time, budget, etc.). In this paper we present Xenia, a context-aware platform aiming to construct travel routes (i.e., ordered visits to various POIs that maximize the user's travel experience) that adhere to the aforementioned limitations by modeling and solving the tour planning dilemma through the Orienteering Problem (OP). To achieve this, we use geo-tagged photos, collected from Flickr and exploit their metadata (e.g., time-stamps, geolocation and user-generated tags). By utilizing these spatio-temporal data, we are able to identify the trajectory patterns of tourists during their vacations and determine the most popular POIs in any given city, along with the tourists sequential POIs visits and their corresponding durations. Finally, we evaluate the effectiveness of the proposed system against a set of typical baseline approaches.
Prisma: aspect-oriented software architectures

Hoy en dia, la complejidad de los sistemas software y la gran relevancia que han adquirido los requisitos no funcionales son retos que han de abordarse durante el proceso de desarrollo software. En los ultimos anos, estas propiedades han provocado un gran incremento en el tiempo y el personal necesario para llevar a cabo los procesos de desarrollo y mantenimiento del software. Por ello, existe un gran interes en mejorar dichos procesos. Esta tesis presenta un nuevo enfoque de desarrollo para sistemas software complejos. Dicho enfoque, llamado PRISMA, da soporte a estos nuevos retos y permite satisfacer la elevada competitividad del mercado. El enfoque PRISMA se ha materializado en un marco de trabajo formado por un modelo, un lenguaje, una metodologia y un prototipo de herramienta CASE (Computer-Aided Software Engineering). El modelo de PRISMA combina dos aproximaciones para definir arquitecturas software: el Desarrollo de Software Basado en Componentes (DSBC) y el Desarrollo de Software Orientado a Aspectos (DSOA). Las principales aportaciones del modelo es la manera en la que integra ambas aproximaciones para obtener sus ventajas y su lenguaje formal. PRISMA tiene en cuenta los requisitos no funcionales desde las primeras etapas del ciclo de vida software y mejora su reutilizacion y el mantenimiento. Todo ello gracias a la descomposicion que realiza de los sistemas software utilizando dos conceptos diferentes: aspectos y elementos arquitectonicos (componentes y conectores). PRISMA proporciona un Lenguaje de Descripcion de Arquitecturas Orientado a Aspectos (LDAOA) formal para la especificacion de arquitecturas software orientadas a aspectos. El LDAOA de PRISMA es independiente de cualquier tecnologia y esta basado en lenguajes formales para evitar la ambiguedad y poder aplicar tecnicas de generacion automatica de codigo. La metodologia de PRISMA apuesta por el desarrollo de software siguiendo el Paradigma de la Prototipacion Automatica mediante la aplicacion del e
Estimate vigilance level in driving simulation based on sparse representation

Avoiding fatal accidents caused by low vigilance level in driving is very important in our daily lives. Electroen-cephalography(EEG) has been proved very effective for measuring the level of vigilance. In this paper, we distin­guish vigilance level into three classes which are 'alert', 'fatigue' and 'sleeping' by using sparse representation classiflcation(SRC). Six features from each frequency band are got from samples of EEG data. Random fea­ture is used to reduce the dimension of features. Actu­ally there is almost no training process before the clas­sification. The accuracy in classification of three classes reaches about 90% on average.
Review: Don't Cross-Thread the Screw!

The screw is a geometrical element. As Sir Robert Ball stated a century or more ago, the screw joins the company of point, plane, and line. In mechanics, especially instantaneous kinematics and statics of rigid bodies, angular and translational velocity of a body combine as a twist on a screw; precisely analogously a force and a couple combine as awrench on a screw. In three dimensions screw theory provides essential and simple insight into the behavior of systems of jointed bodies. And screw theory can also play a leading role in the systematic selection of suitable geometrical patterns that should relate to such jointed systems. Yet the mechanics of robots—the prime example today of systems of jointed bodies—has developed with little respect for the screw, even at the most elementary level. Here I focus mainly on robot performance, the study of which has, to an excessive extent, been proceeding blindly in territory where there is an abundance of screws and systems of screws, all, as it were, shouting to be taken on board to show the way. Failure to recognize the screw, and an unwillingness to use it properly, has led to the screw's being violently abused—“cross-threaded. ” There are far too many examples of “cross-threading” that have, regrettably, appeared in recent years in several well-known journals. Offenses have been perpetrated and yet left unchallenged. Here I try to remove any mystery that some may see surrounding, and even concealing, the screw. I then venture to deal critically with a small selection of the many instances of cross-threading. However, this symposium has as a main objective the celebration of a Centenary. So it betokens an element of light-heartedness that I resort to at times within the pages that follow. © 2003 Wiley Periodicals, Inc.
Compensating for the mutual coupling effect in a normal-mode helical antenna array for adaptive ing

A practical normal-mode helical antenna array together with a new method for the compensation of the mutual coupling effect is proposed for the efficient adaptive nulling of interferences in a mobile communication environment. The helical antenna array is shown to be able to generate deeper nulls than an equivalent monopole antenna array in the presence of the mutual coupling effect. The helical antenna elements are smaller in size and less susceptible to the mutual coupling effect than monopole antenna elements. The new method for compensation of the mutual coupling effect is shown to have a greater ability and flexibility than previous methods. A new definition of mutual impedance is introduced and used to find the coupling-free signal voltages across the antenna terminal loads. Numerical examples demonstrate the superior performance of the proposed adaptive array and the new compensation method.
Balloon aortic valvotomy in pregnancy

A 36-year-old primigravida who had been working and study-ing overseas returned when she was 12 weeks pregnant. Shewas reassessed in the cardiology unit where she had beenfollowed since the age of 8 years for a mildly stenotic con-genital bicuspid aortic valve. The mean pressure gradientacross the aortic valve on Doppler echocardiographymeasurements had ranged from 21 to 36 mmHg pressure upto the age of 33 years when she went overseas. Because thestenosis was only mild to moderate in severity, no interven-tion had been indicated and the patient was followed annu-ally. On the last review, when the gradient was 36 mmHgpressure, possible pregnancy was discussed. Reassessmentwas advised before pregnancy was considered.However, the patient returned 3 years later, in the ﬁrsttrimester of pregnancy, and was dyspnoeic. Her echocardio-gram showed the bicuspid aortic valve domed in systole andthere was thickening of the right coronary cusp. The peakgradient across the valve was 78 mmHg pressure with a meangradient of 51 mmHg. The aortic valve area was 0.9 cm
Path loss model for densely arboreous cities in Amazon Region

This work proposes a propagation loss model for densely arboreous environment at 900 and 1800 MHz bands. In this model, the environment non-homogeneities and the base station antenna height effects are incorporated in the total loss. A measurement campaign was accomplished in three cities of the State of Para, Brazil, for validate the model.
Expression of angiogenesis‐related molecules in plexiform lesions in severe pulmonary hypertension: evidence for a process of disordered angiogenesis

Pulmonary arteries of patients with severe pulmonary hypertension (SPH) presenting in an idiopathic form (primary PH‐PPH) or associated with congenital heart malformations or collagen vascular diseases show plexiform lesions. It is postulated that in lungs with SPH, endothelial cells in plexiform lesions express genes encoding for proteins involved in angiogenesis, in particular, vascular endothelial growth factor (VEGF) and those involved in VEGF receptor‐2 (VEGFR‐2) signalling. On immunohistochemistry and in situ hybridization, endothelial cells in the plexiform lesions expressed VEGF mRNA and protein and overexpressed the mRNA and protein of VEGFR‐2, and the transcription factor subunits HIF‐1α and HIF‐1β of hypoxia inducible factor, which are responsible for the hypoxia‐dependent induction of VEGF. When compared with normal lungs, SPH lungs showed decreased expression of the kinases PI3 kinase and src, which, together with Akt, relay the signal transduction downstream of VEGFR‐2. Because markers of angiogenesis are expressed in plexiform lesions in SPH, it is proposed that these lesions may form by a process of disordered angiogenesis. Copyright © 2001 John Wiley & Sons, Ltd.