Miracle-dz/UniFAR-FTUs huggingface dataset:
Maximum power point tracking: a cost saving necessity in solar energy systems

It is argued that a well-engineered renewable remote energy system utilizing the principal of maximum power point tracking (MPPT) can be cost effective, has a high reliability, and can improve the quality of life in remote areas. A highly efficient power electronic converter for converting the output voltage of a solar panel or wind generator to the required DC battery bus voltage has been realized. The converter is controlled to track the maximum power point of the nput source under varying input and output parameters. MPPT for relatively small systems is achieved by maximization of the output current in a battery charging regulator, using an optimized hill-climbing, inexpensive microprocessor-based algorithm. Through field measurements it is shown that a minimum input source saving of 15% on 3-5 kWh/day systems can easily be achieved. <<ETX>>
Improving the height of replication in EHD patterning by optimizing the electrical properties of the template

Electrohydrodynamic (EHD) patterning is a process for electrically transferring the micro- or nano-structures on a template onto a thin polymer film. The process involves applying an electric field to the patterned template and the substrate, which results in the template and substrate behaving like an electrode pair. The height of replication for EHD patterning has been limited at the nano-scale in previously proposed techniques because the electric field is sensitive to the spacer height of the template. In this paper, we investigate the influence of the template-modulated electric field on the formation of replication. We show that templates with conductive patterns allow for large field changes and enlarge the spacer height. Replication heights ranging from 1.5 to 8 µm can be achieved using templates with conductive patterns.
The evolution of trade theory: an exercise in the construction of surrogate or substitute worlds?

situation characterised by a lack of any active competition between firms. It is very far removed from free competition as conceptualized in the older classical tradition. While all theorising necessarily involves abstraction and the neglect of certain aspects of reality, it is hard to justify certain assumptions if their only purpose is to increase the formal tractability of models as opposed to highlighting some central causal feature of social reality. This is certainly the case with perfect competition. Yet, as we shall see in the next chapter, by the 1920s, the assumption of perfect competition had become so central to orthodox theory that subsequent challenges to free trade could now be defeated simply by questioning if theoretical speculation was consistent with
Modal Analysis of Liquid Hybrid Bearing in the Spindle System of High-Speed Roll Grinder

Mode analysis of liquid hybrid bearing in the spindle system of high-speed roll grinder whose grinding wheel linear velocity is 80 m/s is carried out by means of finite element analysis method, and the vibration vulnerable areas of the liquid hybrid bearing are found out near the static pressure oil cavities and the diversion groove, and the former 6 orders natural frequencies are gained, furthermore, each order vibration mode is mainly presented as torsion deformation. Therefore, in order to avoid resonance vibration, the bearing should keep away from the resonance vibration frequency region in the course of practical working, and its dynamic performance can be enhanced by optimizing the structure or improving the material property of the bearing, thus, theoretical supports for developing the liquid hybrid bearing in the spindle system of high-speed roll grinder are provided.
Modelling and simulation of emergency services with ARIS and Arena. Case study: the emergency department of Saint Joseph and Saint Luc Hospital

Overlong waiting time in emergency services is an important matter which has negative influence on healthcare quality. This problem can be resolved by improving emergency services using modelling and discrete event simulation of system process. In this article, a simulation model is designed to represent the patient visit process by using, respectively, IDS Scheer ARIS™ and Rockwell Arena™. This simulation model can help us to identify process bottlenecks, and adjust resources allocation or staff dimensioning without disturbing the actual system. For the purpose of reducing waiting time in emergency departments (ED), doctor's efficiency improvement and quick pass process are proposed and experimented as two new solutions. In addition to simulation results, we summarise some advantages and shortcomings observed during our development work for future use of ARIS and Arena. This work was based on the ED at Saint Joseph and Saint Luc Hospital in Lyon, France.
Neurocognitive state and quality of life of patients with glioblastoma in Mediterranean countries: a systematic review.

BACKGROUND Gliomas are the most common primary tumors of the central nervous system (CNS). The most common subtype of glioma in adults is grade IV astrocytoma, known as glioblastoma (GB) multiforme. Despite advances in treatment, GB remains a lethal tumor with a poor prognosis, and patients face serious quality of life (QoL) issues. Its poor prognosis is a real public health problem. The present study aimed to determine the exact neurocognitive status and QoL in patients with GB in the Mediterranean region and the different predictive factors responsible for their deterioration. METHODS This systematic review was conducted in accordance with PRISMA guidelines. The protocol has been previously published (PROSPERO: CRD42020188936). The following databases have been independently searched by 2 authors: PubMed, Science Direct, Scopus and Google Scholar. RESULTS Thirteen studies were selected (n=13). Four studies (n=4) focused solely on cognitive assessment, five studies (n=5) focused on quality-of-life assessment, and four (n=4) were simultaneously assessed QoL and neurocognitive status. The majority of studies in this review use (Mini-Mental State Examination, MMSE) for an overall cognitive assessment (n=5), other studies use specific batteries for an in-depth assessment of cognitive functions (n=3). The study revealed several affected functions: short and long-term memory, executive functions (EFs), and visuo-constructive abilities. Scale of European Organization for Research and Treatment of Cancer and the Functional Assessment of Cancer Therapy are among the most widely used instruments for assessing QoL. For factors influencing neurocognitive status and QoL, the present review found that: The Karnofsky Performance Scale (KPS), tumor location, age, sex and type of treatment are the most identified. Other studies have reported other factors, such as tumor progression, development of emotional distress, and coping strategies adopted. DISCUSSION We conclude that there were many changes in patients with GB during the course of the disease and that most of them were related to age and disease progression. The use of coping strategies based on social support has a positive impact on the QoL.
A review of the IPCC Assessment Report Four, Part 1: the IPCC process and greenhouse gas emission trends from buildings worldwide

The Intergovernmental Panel on Climate Change, (IPCC), Fourth Assessment Report, AR4, Climate Change 2007 consists of three volumes based on the work of three IPCC Working Groups (WGs). WG1 considered the scientific basis of climate change and what the climate models are showing. WG2 considered the consequences of climate change and possible adaptation to it. WG3 considered how the climate change could be mitigated. This paper briefly outlines the history of the IPCC, its purpose and outputs, including the AR4 and its relation to the Kyoto Protocol, and the IPCC authoring process. The paper then reviews the trends in carbon emissions, especially from the built environment (which are a major source of greenhouse gas, GHG, emissions in the world), and the potential mitigation reductions in carbon emissions that are considered possible and the scenarios on which they are based. Practical application: Climate change is an important topic for building services engineers, resulting in the UK in the new, performance-based Building Regulations Part L. This paper outlines the history and relevance of the IPCC for building services engineers as well as reviewing the world trends in carbon emissions from buildings and the future scenarios on which they are based. The paper emphasises the importance of buildings and building services in the context of climate change.
Radiation-Tolerant All-Digital PLL/CDR with Varactorless LC DCO in 65 nm CMOS

This paper presents the first fully integrated radiation-tolerant All-Digital Phase-Locked Loop (PLL) and Clock and Data Recovery (CDR) circuit for wireline communication applications. Several radiation hardening techniques are proposed to achieve state-of-the-art immunity to Single-Event Effects (SEEs) up to 62.5 MeV cm2 mg−1 as well as tolerance to the Total Ionizing Dose (TID) exceeding 1.5 Grad. The LC Digitally Controlled Oscillator (DCO) is implemented without MOS varactors, avoiding the use of a highly SEE sensitive circuit element. The circuit is designed to operate at reference clock frequencies from 40 MHz to 320 MHz or at data rates from 40 Mbps to 320 Mbps and displays a jitter performance of 520 fs with a power dissipation of only 11 mW and an FOM of −235 dB.
Protease Activated Receptor 1 and Its Ligands as Main Regulators of the Regeneration of Peripheral Nerves

In contrast with the brain and spinal cord, peripheral nerves possess a striking ability to regenerate after damage. This characteristic of the peripheral nervous system is mainly due to a specific population of glial cells, the Schwann cells. Schwann cells promptly activate after nerve injury, dedifferentiate assuming a repair phenotype, and assist axon regrowth. In general, tissue injury determines the release of a variety of proteases which, in parallel with the degradation of their specific targets, also activate plasma membrane receptors known as protease-activated receptors (PARs). PAR1, the prototypical member of the PAR family, is also known as thrombin receptor and is present at the Schwann cell plasma membrane. This receptor is emerging as a possible regulator of the pro-regenerative capacity of Schwann cells. Here, we summarize the most recent literature data describing the possible contribution of PAR1 and PAR1-activating proteases in regulating the regeneration of peripheral nerves.
Advanced statistical process control of a chemical vapor tungsten deposition process on an Applied Materials Centura reactor

An advanced multivariable off-line process control system, which combines traditional Statistical Process Control (SPC) with feedback control, has been applied to the CVD tungsten process on an Applied Materials Centura reactor. The goal of the model-based controller is to compensate for shifts in the process and maintain the wafer state responses on target. In the present application the controller employs measurements made on test wafers by off-line metrology tools to track the process behavior. This is accomplished by using model- bases SPC, which compares the measurements with predictions obtained from empirically-derived process models. For CVD tungsten, a physically-based modeling approach was employed based on the kinetically-limited H2 reduction of WF6. On detecting a statistically significant shift in the process, the controller calculates adjustments to the settings to bring the process responses back on target. To achieve this a few additional test wafers are processed at slightly different settings than the nominal. This local experiment allows the models to be updated to reflect the current process performance. The model updates are expressed as multiplicative or additive changes in the process inputs and a change in the model constant. This approach for model updating not only tracks the present process/equipment state, but it also provides some diagnostic capability regarding the cause of the process shift. The updated models are used by an optimizer to compute new settings to bring the responses back to target. The optimizer is capable of incrementally entering controllables into the strategy, reflecting the degree to which the engineer desires to manipulates each setting. The capability of the controller to compensate for shifts in the CVD tungsten process has been demonstrated. Targets for film bulk resistivity and deposition rate were maintained while satisfying constraints on film stress and WF6 conversion efficiency.
Combining Data Mining Techniques to Analyse Factors Associated with Allocation of Socioeconomic Resources at IFMG

The granting of socioeconomic assistance to students from Federal Education Institutions is one of the ways found to provide finantial support during their studies, focusing primarily on those who are more socially vulnerable. Institutions carry out selection processes to identify students with a profile of demand and appropriately distribute the grants according to the budget available for this purpose. This article applied Data Mining techniques to a set of information from students who applied to receive scholarships at IFMG - Campus Bambuí, seeking to identify the attributes associated with the distribution of benefits and analyzing the adequacy of the current indicator used by the institution to classify the level of social vulnerability of students. The proposed methodology involved combining different machine learning algorithms, such as data classification and feature selection techniques. In addition to identifying the degree of importance of each attribute in the constructed model, the differential of this article is to present well-founded suggestions for new attributes that could be able to improve the index used by the institution and, consequently, optimize the workload of those involved with the analysis of selective processes. The composition of the institution's index with five new attributes resulted in a gain of around 10% in rating performance.
Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale

Ride hailing has become prevailing. Central in ride hailing platforms is taxi order dispatching which involves recommending a suitable driver for each order. Previous works use pure combinatorial optimization solutions for taxi dispatching, which suffer in practice due to complex dynamics of demand and supply and temporal dependency among dispatching decisions. Recent studies try to adopt data-driven method into combinatorial optimization hoping knowledge from history data would help overcome these challenges. Among these attempts, adoption of reinforcement learning shows great promise but current adoptions are a unidirectional integration which restricts the potential performance gains. In this work, we propose <underline>L</underline>earning <underline>T</underline>o <underline>D</underline>ispatch(LTD), a systematic solution that allows synergic integration of reinforcement learning and combinatorial optimization for large-scale taxi order dispatching. We demonstrate the necessity of online learning and taxi scheduling for reinforcement learning to work in synergy with combinatorial optimization, and devise corresponding algorithms. We also devise many tricks for more efficient calculation of the bipartite matching. Experiments show our methods can improve <inline-formula><tex-math notation="LaTeX">$36.4\%$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>36</mml:mn><mml:mo>. </mml:mo><mml:mn>4</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="xu-ieq1-3127077.gif"/></alternatives></inline-formula> and <inline-formula><tex-math notation="LaTeX">$42.0\%$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>42</mml:mn><mml:mo>. </mml:mo><mml:mn>0</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="xu-ieq2-3127077.gif"/></alternatives></inline-formula> on utility and efficiency at most, respectively. Especially, it achieves state-of-the-art performance in terms of utility.
THE INFLUENCE OF INTERNET EASE AND INTERNET USEFULNESS TOWARD USER ATTITUDE AND USER BEHAVIOR (Study on Undergraduate Students of Business Administration Department at The Faculty of Administrative Science of Brawijaya University)

The results of this study concluded that the variable of Internet Ease (X1) has significance influence toward variable of Internet Usefulness (X2), the variable of Internet Ease (X1) has significance influence toward variable of User Attitude (Z), then for the variable of Internet Usefulness (X2) has significance influence toward variable of User Attitude (Z), but the variable of Internet Usefulness (X2) has no significance influence toward variable of User Behavior (Y), while the variable of User Attitude (Z) has significance influence toward variable of User Behavior (Y). Keywords : Internet Ease, Internet Usefulness, User Attitude, User Behavior
A degree‐of‐damage estimation model of earthquake damage using interferometric SAR data

This paper presents a damage estimation model of an earthquake using a pair of interferometric SAR data. Coherence is defined as a correlation function of two SLC (Single Look Complex) data. The coherence derived from multi‐temporal SLCs before and after the earthquake includes a temporal decorrelation in disturbed regions. To estimate a degree of damage using the temporal decorrelation, the proposed model employs a coherence ratio, which is the ratio of the coherence derived from the SLCs before and after the event to the coherence derived from a pair of SLCs before the event. The temporal coherence ratio is computed by compensating the coherence ratio with the spatial decorrelation. The degrees of damage are defined by the logarithmic probability range of the ratio of the damage areas. It is shown that there is a significant relationship between the temporal coherence ratio and the probability of the degree of damage. In the case of the Hyogoken–Nanbu earthquake, its relationship can be represented by a linear function. The parameters of regression lines are set by applying the least‐squares method. We have succeeded in estimating the cumulative probability of the degree of damage from the temporal coherence ratio. © 2003 Wiley Periodicals, Inc. Electr Eng Jpn, 143(3): 49–57, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.10138
A novel design of triple‐band monopole antenna for multi‐input multi‐output communication

In this article, a novel wireless local area network (WLAN) frequency range monopole antenna is designed and manufactured for multi‐input multi‐output (MIMO) applications. The proposed antenna consists of two L‐shaped slots in the S‐shaped radiating patch. In this structure, the S‐shaped monopole antenna can create dual resonances within the WLAN range. Placement of two L‐shaped slots within the S‐shaped monopole antenna creates an extra resonance; the desired resonant frequencies are obtained by adjusting the dimension of the S‐shaped and the L‐shaped structures. The operating frequencies of the proposed antenna are 2.4/5.2/5.8 GHz, which covers WLAN system. Various configurations of array of this S‐shaped monopole antenna for MIMO application are also studied. Prototypes of the proposed antenna have been constructed and studied experimentally. Good return loss and radiation pattern characteristics are obtained in the frequency band of interest. Simulated and measured results are presented to validate the usefulness of this small proposed antenna structure for MIMO applications. © 2013 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:1258–1262, 2013; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.27579
Use of Prony analysis to extract sync information of low frequency oscillation from measured data

This paper describes methods to search the sync that takes place in power systems. Discrete signals in power systems can be expressed by the sum of several damped exponential sine functions. Therefore, dominant mode and residues included in the signals are estimated by applying parameter estimation methods. They are compared in their search for the sync among output signals. In the dominant oscillation mode included in many signals, the modes that have similar frequencies and damping constants were selected. By comparing their residues and phases, the sync of low frequency oscillations was examined. By identifying the sync of wide area oscillations, it was possible to differentiate between the generator and load characteristics. The sync exploring method proposed in this paper, together with sync indexes, were applied to a two area system and the KEPCO system to confirm that it is possible to search for the sync phenomenon in signals of large scale power systems. Copyright © 2010 John Wiley & Sons, Ltd.
Parking, People, and Cities

In this study of how off-street parking requirements affect urban form, we begin by analyzing the relationship between population density and streets in cities. We find that denser cities devote a greater share of their land to streets, but also have less street space per person. This relationship results in part from the difficulty of constructing new streets in built-out areas. The amount of street space does not increase as fast as population density, and this in turn helps explain why dense areas have less vehicle travel per person but higher levels of congestion. In contrast to streets, new off-street parking is supplied continually, owing largely to minimum parking requirements that make new development contingent on the provision of parking spaces. But the ample supply of off-street parking makes traffic congestion worse and inhibits street life. We recommend either removing off-street parking requirements, or converting them from minimums to maximums.
Simple and effective neural coreference resolution for Korean language

We propose an end‐to‐end neural coreference resolution for the Korean language that uses an attention mechanism to point to the same entity. Because Korean is a head‐final language, we focused on a method that uses a pointer network based on the head. The key idea is to consider all nouns in the document as candidates based on the head‐final characteristics of the Korean language and learn distributions over the referenced entity positions for each noun. Given the recent success of applications using bidirectional encoder representation from transformer (BERT) in natural language‐processing tasks, we employed BERT in the proposed model to create word representations based on contextual information. The experimental results indicated that the proposed model achieved state‐of‐the‐art performance in Korean language coreference resolution.
Design of Light-Small Mobile 3D Laser Measurement System

At present, most of the commercial 3D laser scanning measurement systems do work for a large area and a big scene, but few shows their advantage in the small area or small scene. In order to solve this shortage, we design a light-small mobile 3D laser scanning system, which integrates GPS, INS, laser scanner and digital camera and other sensors, to generate the Point Cloud data of the target through data filtering and fusion. This system can be mounted on airborne or terrestrial small mobile platform and enables to achieve the goal of getting Point Cloud data rapidly and reconstructing the real 3D model. Compared to the existing mobile 3D laser scanning system, the system we designed has high precision but lower cost, smaller hardware and more flexible.