Miracle-dz/UniFAR-FTUs huggingface dataset:
Short-Term City Electric Load Forecasting with Considering Temperature Effects: An Improved ARIMAX Model

Short-term electric load is significantly affected by weather, especially the temperature effects in summer. External factors can result in mutation structures in load data. Under the influence of the external temperature factors, city electric load cannot be easily forecasted as usual. This research analyzes the relationship between electricity load and daily temperature in city. An improved ARIMAX model is proposed in this paper to deal with the mutation data structures. It is found that information amount of the improved ARIMAX model is smaller than that of the classic method and its relative error is less than AR, ARMA and Sigmoid-Function ANN models. The forecasting results are more accurately fitted. This improved model is highly valuable when dealing with mutation data structure in the field of load forecasting. And it is also an effective technique in forecasting electric load with temperature effects.
Learning from spatially disjoint data

Committees of classifiers, also called mixtures or ensembles of classifiers, have become popular because they have the potential to improve on the performance of a single classifier constructed from the same set of training data. Bagging and boosting are some of the better known methods of constructing a committee of classifiers. Committees of classifiers are also important because they have the potential to provide a computationally scalable approach to handling massive datasets. When the emphasis is on computationally scalable approaches to handling massive datasets, the individual classifiers are often constructed from a small faction of the total data. In this context, the ability to improve on the accuracy of a hypothetical single classifier created from all of the training data may be sacrificed. The design of a committee of classifiers typically assumes that all of the training data is equally available to be assigned to subsets as desired, and that each subset is used to train a classifier in the committee. However, there are some important application contexts in which this assumption is not valid. In many real life situations, massive data sets are created on a distributed computer, recording the simulation of important physical processes. vii Currently, experts visually browse such datasets to search for interesting events in the simulation. This sort of manual search for interesting events in massive datasets is time consuming. Therefore, one would like to construct a classifier that could automatically label the “interesting” events. The problem is that the dataset is distributed across a large number of processors in chunks that are spatially homogenous with respect to the underlying physical context in the simulation. Here, a potential solution to this problem using ensembles is explored.
Measuring acoustic complexity in continuously varying signals: how complex is a wolf howl?

Abstract Communicative complexity is a key behavioural and ecological indicator in the study of animal cognition. Much attention has been given to measures such as repertoire size and syntactic structure in both bird and mammal vocalizations, as large repertoires and complex call combinations may give an indication of the cognitive abilities both of the sender and receiver. However, many animals communicate using a continuous vocal signal that does not easily lend itself to be described by concepts such as ‘repertoire’. For example, dolphin whistles and wolf howls both have complex patterns of frequency modulation, so that no two howls or whistles are quite the same. Is there a sense in which some of these vocalizations may be more ‘complex’ than others? Can we arrive at a quantitative metric for complexity in a continuously varying signal? Such a metric would allow us to extend familiar analyses of communicative complexity to those species where vocal behaviour is not restricted to sequences of stereotyped syllables. We present four measures of complexity in continuous signals (Wiener Entropy, Autocorrelation, Inflection Point Count, and Parsons Entropy), and examine their relevance using example data from members of the genus Canis. We show that each metric can lead to different conclusions regarding which howls could be considered complex or not. Ultimately, complexity is poorly defined and researchers must compare metrics to ensure that they reflect the properties for which the hypothesis is being tested.
On the optimisation of nonlinear mapping functions towards high correlation of full-reference image quality metrics and their combinations with subjective evaluations

One of the most relevant problems related to most of the objective full-reference image and video quality assessment methods is their correlation with subjective perception of various types of distortions. Since the relation between the subjective scores, typically expressed as Mean Opinion Scores (MOS) or Differential MOS, and most of the metrics is nonlinear, various mapping functions are used in order to linearize this relation e.g. logistic function recommended by the Video Quality Experts Group (VQEG). Such compensation can also be conducted using some other function e.g. polynomial or exponential ones. Nevertheless, the results obtained for each of available datasets differ and such approach cannot be considered as universal. One of possible solutions, proposed in some earlier papers, is the use of combined metrics, which have significantly higher linear correlation with MOS or DMOS values without the necessity of nonlinear mapping. The comparative analysis of the optimisation results for some “state-of-the-art” metrics and proposed combined ones is also provided in the paper.
Diethylnitrosamine-induced hepatic neoplasms in the fish Rivulus ocellatus marmoratus

Hepatic lesions caused by a single or continuous exposure to diethylnitrosamine (DEN) are described in rivulus Rivulus ocellatus marmoratus. a self-fertilizing hermaphroditic fish. Hepatocellular and biliary tumors, hemangiomas, hernangiopericytomas, and metastatic thyroid ctlls occurred in livers of rivulus first exposed when l d old (larvae) or 30 d old (luveniles). Basophilic, eosinophilic, and 3 types of vacuolated-cell foci were observed before neoplasms developed. Spongiosis hepatis also occurred in livers of DEN-exposed fish. Rivulus first exposed as larvae had significantly higher incidences of cholangiocarcinomas and hemangiomas than fish first exposed as juveniles. Hepatocellular carcinomas, cholangiocarcinomas, and hemangiomas were significantly more common in rivulus exposed continuously.
Functional Analysis of OsKANADI 1 , A Florigen Hd 3 a Interacting Protein in Rice ( Oryza sativa L . )

OsKANADI1 is considered as a fl origen Hd3a interacting protein. To study the function of OsKANADI1, the expression pattern of OsKANADI1 was performed by semiquantitative RT-PCR with various wild-type tissues in the fl oral transition stage. The results demonstrated that OsKANADI1 was expressed in all organs of wild-type plants, but was highest in roots and leaves. We hypothesize that OsKANADI1 is a transcription factor in rice because it contains a GARP domain and posses a nuclear localization signal. To determine whether OsKANADI1 encodes a nuclear protein, full-length OsKANADI1 fused to GFP was introduced into onion epidermis cells by particle bombardment. The result revealed that OsKANADI1 was localized in the nucleus, suggesting that OsKANADI1 may be a transcription factor. Functional analysis was carried out using a reverse genetics approach to generate gain of function mutant (overexpression) and knockdown mutant (RNAi). The results showed that suppression of OsKANADI1 by RNAi displayed branching and increasing tiller number in several lines. This phenotype resembles to the Hd3a overexpressed plants indicating they possibly function in similar pathway.
Detailed Micro Raman Spectroscopy Analysis of Doped Silicon Thin Film Layers and Its Feasibility for Heterojunction Silicon Wafer Solar Cells

Hydrogenated doped silicon thin films deposited using RF (13.56 MHz) PECVD were studied in detail using micro Raman spectroscopy to investigate the impact of doping gas flow, film thickness, and substrate type on the film characteristics. In particular, by deconvoluting the micro Raman spectra into amorphous and crystalline components, qualitative and quantitative information such as bond angle disorder, bond length, film stress, and film crystallinity can be determined. By selecting the optimum doped silicon thin film deposition conditions, and combining our p-doped and n-doped silicon thin films in different heterojunction structures, we demonstrate both (i) an efficient field effect passivation and (ii) further improvement to c-Si/a-Si:H(i) interface defect density with observed improvement in implied open-circuit voltage VOC and minority carrier lifetimes across all injections levels of interest. In particular, the heterojunction structure (a-Si:H(p)/a-Si:H(i)/c-Si(n)/a-Si:H(i)/a-Si:H(p)) demonstrates a minority carrier lifetime of 2.4 ms at an injection level of 1015 cm-3, and a high implied open-circuit voltage of 725 mV. Simulation studies reveal a strong dependence of the interface defect density Dit on the heterojunction silicon wafer solar cell performance, affected by the deposition conditions of the overlying doped silicon thin film layers. Using our films, and a fitted Dit of 5 × 1010 cm-2·eV-1, we demonstrate that a solar cell efficiency of ~22.5% can be potentially achievable.
Fluid Properties in the Formation of High-Grade Iron Ore in Northern Minnesota

The Mesabi Iron Range in Northern Minnesota has been a major producer of iron ore for over 100 years. Production has been from the 1.85 – billion-year –old Biwabik Iron Formation, an iron-rich sedimentary rock that is tilted gently to the south. Most of the known high-grade ore lies near the surface and has been already mined. Determining whether more high-grade ore may lie at depth could have significant economic impact on the mining industry in northern Minnesota. To evaluate the likelihood of finding more high-grade iron ore deeper underground, it is important to determine the source of the fluids that are responsible for that ore. I have been testing Morey’s hypothesis (Econ. Geol. v.94 pp.133-142) that a plate collision event 1.8 billion years ago drove deep fluids upward along faults within the iron formation, and that these fluids dissolved some minerals from the iron formation and increased the grade of the remaining iron ore. In this case, high-grade ore could exist deeper within the iron formation, which is tilted gently beneath the surface. Samples collected in the iron range have been analyzed using various geologic methods. Growth banding, using cathodoluminescence, and the salinity of the fluid from fluid inclusions in minerals associated with high-grade iron ore were used to evaluate the source of the fluid associated with high-grade ore. From this information, we have assessed the likelihood of deeper high-grade ore beneath the surface. 1 Drommerhausen: Fluid Properties in the Formation of High-Grade Iron Ore in North Published by Cornerstone: A Collection of Scholarly and Creative Works for Minnesota State University, Mankato, 2007
A device to record natural daily wrist motion

We introduce a new device to record and store wrist motion activity data. The motivation to create this device was the fact that this data can be used to detect periods of eating or the number of bites consumed. There is no similar device available in the market. This device uses new components that have been recently introduced to the market, and newer techniques that can be used for low quantity production. The production cost for this device was $52, similar to other fitness trackers on the market. The device was capable of recording wrist motion activity for 24 hours and was similar in weight to a wrist watch.
Regulation of Phospholipase C-1 by G and m1 Muscarinic Cholinergic Receptor

The phospholipase C-β1 (PLC-β1) signaling pathway was reconstituted by addition of purified PLC to phospholipid vesicles that contained purified recombinant m1 muscarinic cholinergic receptor, G, and 2-4 mol % [3H]phosphatidylinositol 4,5-bisphosphate. In this system, the muscarinic agonist carbachol stimulated steady-state PLC activity up to 90-fold in the presence of GTP. Both GTP and agonist were required for PLC activation, which was observed at physiological levels of Ca (10-100 nM). PLC-β1 is also a GTPase-activating protein for G. It accelerated steady-state GTPase activity up to 60-fold in the presence of carbachol, which alone stimulated activity 6-10-fold, and increased the rate of hydrolysis of G-bound GTP by at least 100-fold. Despite this rapid hydrolysis of G-bound GTP, the receptor maintained >10% of the total G in the active GTP-bound form by catalyzing GTP binding at a rate of at least 20-25 min, 10-fold faster than previously described. These and other kinetic data indicate that the receptor and PLC-β1 coordinately regulate the amplitude of the PLC signal and the rates of signal initiation and termination. They also suggest a mechanism in which the receptor, G, and PLC form a three-protein complex in the presence of agonist and GTP (stable over multiple GTPase cycles) that is responsible for PLC signaling.
A Review on Experimental Investigation of UNDI Oil Methyl Ester and Diesel Blends as a Fuel in VCR Engine and Development of Emission Models

Liquid fuels like petrol, diesel, kerosene which is being used in large quantities in transport, agriculture, Industrial, commercial and domestic sector. Increasing environmental awareness and depletion of resources are driving industry to develop variable alternative fuel from renewable resources that are environmentally most acceptable. Among the many alternative fuels biodiesel are considered are more desirable fuel, waste cooking oil and vegetable oil is potential candidate. The world is facing problems with the twin crises of fuel depletion and environmental degradation. The indiscriminate extraction & consumption of fossil fuels have led to reduce in petroleum reserve. Alternative fuel, conservation of energy and management, energy efficiency and environmental protection have become important in recent years. The properties of fuel like flash point, calorific value, kinematic viscosity, carbon residue, specific gravity were found. The performance of the waste cooking oil, vegetable oil can be improved by some modifying them through the transesterification process. The increasing import bill has necessitated the search in present study efforts can be made to investigation the performance characteristics of diesel blended Undi biodiesel in VCR compression ignition engine, this work also includes the combustion analysis and Emission modeling.
A Fully CMOS Optical Transmission System Based on Light Emitting Avalanche Diodes

The successful realization of optical interconnects for inter- and intra-chip communication strongly depends on the use of a light source that is compatible with existing, well established manufacturing processes - primarily CMOS/VLSI. The problematic integration of III-V light sources with CMOS technology has not been surmounted thus far. While silicon is ill-suited as an optical material, silicon based light sources present a huge advantage: complete monolithic integration using existing CMOS processes. This advantage can only be exploited if these devices show sufficient switching speed and optical power emission to make high speed clock and data transmission feasible. This paper illustrates the switching speed of silicon based light emitting devices in excess of 100 MHz and the viability of using such a device for an all-silicon optical link for clock and data distribution.
Automatic Semiconductor Wafer Image Segmentation for Defect Detection Using Multilevel Thresholding

Quality control is one of important process in semiconductor manufacturing. A lot of issues trying to be solved in semiconductor manufacturing industry regarding the rate of production with respect to time. In most semiconductor assemblies, a lot of wafers from various processes in semiconductor wafer manufacturing need to be inspected manually using human experts and this process required full concentration of the operators. This human inspection procedure, however, is time consuming and highly subjective. In order to overcome this problem, implementation of machine vision will be the best solution. This paper presents automatic defect segmentation of semiconductor wafer image based on multilevel thresholding algorithm which can be further adopted in machine vision system. In this work, the defect image which is in RGB image at first is converted to the gray scale image. Median filtering then is implemented to enhance the gray scale image. Then the modified multilevel thresholding algorithm is performed to the enhanced image. The algorithm worked in three main stages which are determination of the peak location of the histogram, segmentation the histogram between the peak and determination of first global minimum of histogram that correspond to the threshold value of the image. The proposed approach is being evaluated using defected wafer images. The experimental results shown that it can be used to segment the defect correctly and outperformed other thresholding technique such as Otsu and iterative thresholding.
Statistical framework for ns-3 : terminating simulation and regression analysis

The ns-3 simulator is constantly gaining popularity. It plays a central role in many recent research experiments. The accuracy of the reported simulation results of these experiments is an important concern. Thus, the support in ns-3 for simulation methodologies which guarantee the accuracy of these results is a necessity. Also, the simulation results are affected by numerous scenario parameters. The correlation between the results and the simulation parameters is a significant point of interest in many experiments. In this paper, we present a ns-3 statistical framework. It enables calculation of statistically accurate simulation results by applying the terminating simulation methodology. It features simultaneous execution of simulation scenarios in multi-processor and distributed environments. Also, we integrate support for regression analysis procedures. The proposed framework supports linear and polynomial regression analysis models.We consider simulation results as dependent variables and simulation parameters as independent variables. Regression analysis enables identification of simulation scenario parameters which are significantly correlated to given simulation results. Once a valid regression model is found, it is possible to estimatively predict metric values based on simulation parameter values. This may result in substantially reduced time and effort spent on simulation experimentation.
A global optimization approach for a class of MINLP problems with applications to crude oil scheduling problem

A global optimization algorithm is proposed to solve the crude oil schedule problem. We first developed a lower and upper bounding model by using a multiparametric disaggregation method. Secondly, the lower and the upper bounding models combined with finite state method (FSM) are incorporated to solve the bilinear programing problem jointly. The advantage of using FSM is that we can generate promising substructure and partial solution. Furthermore, the FSM can guarantee that the entire solution space is uniformly covered. Therefore, the algorithm has better global performance than some existing algorithms. Finally, a real-life crude oil scheduling problem from the literature is used for conducting simulation. The experimental results validate that the proposed method outperforms commercial solvers. c ⃝2015 All rights reserved.
Towards Speciation of Arsenic in a Standard Reference River Sediment by High-performance Ion Chromatography Coupled with Plasma Source Mass Spectrometry

A procedure for the extraction and separation of alkylarsenic species from Buffalo River Sediment standard reference material has been developed. The sample was sonicated in methanol–hydrochloric acid–water (50 + 10 + 40 v/v) and filtered. The arsenic species in the extract were separated by anion exchange HPLC, on a Hamilton PRP X-100 column, using phosphate (pH 6.0) and citrate (pH 6.0) buffers as eluents, and detected by direct aspiration into an inductively coupled plasma mass spectrometer. Monomethylarsonic acid, at a concentration of about 0.2 mg kg - 1 in the solid, was detected.
Effect of Impeller Agitation on Preparation of Tetra-n-Butyl Ammonium Bromide Semiclathrate Hydrate Slurries

The slurries-containing tetra-n-butyl ammonium bromide (TBAB) solution and its semiclathrate hydrate have attracted a lot of interest as latent heat transport media. These hydrate slurries contain some microparticles of crystal, and the size and shape of these hydrate particles could affect the mobility of slurries. Hence, it is essential to investigate the efficient hydrate-slurry preparation methods and the effect of hydrate particles on the fluid property of slurries for the application to latent heat transport media. In the present study, the effect of agitation on particle size distribution and aggregation of particles was studied to prepare easily flowing TBAB hydrate slurries that were suitable for fluid transport. First of all, the effects of impeller rotational speed and impeller type on the particle size and frequency of aggregation were investigated. The results suggested that the particle size distribution and the frequency of particle aggregation are strongly affected by the intensity of shear rate and its uniformity, which was controllable with impeller type and its rotation speed.
Examining User Intention Behaviour Towards e-Readers in Japan Using the Decomposed Theory of Planned Behaviour

The e-reader is a mobile electronic device designed specifically for reading electronic books. E-readers have captured public attention all over the world, making it essential to better understand the patterns of user adoption and intention behaviour regarding these devices. In this paper, we examine two adoption models, the Theory of Reasoned Action (TRA) and the Theory of Planned Behaviour (TPB), and four Decomposed Theory of Planned Behaviour (DTPB) models with our proposed extended antecedents (hedonic and utilitarian) and determine that the DTPB model-2 is, relatively speaking, the best among all of these models. In terms of the Akaike information criterion (AIC) and the Browne–Cudeck criterion (BCC), the TRA is more accurate than the TPB. However, the other fit index, the Root Mean Square Error of Approximation RMSEA (RMSEA) is not acceptable for the TRA and the TPB (> 0.1) although it is for the DTPB models. As e-readers offer an increasing variety of products to use (ebooks, music, applications, etc), this will change users’ beliefs regarding the opportunities that are needed to perform a behaviour. In our conclusion, the utilitarian products offering by e-reader are an important variable that influences consumer intention to use e-book reader, but the variable of hedonic product is not. KeywordsE-reader; DTPB model; User intention; Type of