Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting Commercial Building Energy Consumption Using a Multivariate Multilayered Long-Short Term Memory Time-Series Model

The global demand for energy has been steadily increasing due to population growth, urbanization, and industrialization. Numerous researchers worldwide are striving to create precise forecasting models for predicting energy consumption to manage supply and demand effectively. In this research, a time-series forecasting model based on multivariate multilayered long short-term memory (LSTM) is proposed for forecasting energy consumption and tested using data obtained from commercial buildings in Melbourne, Australia: the Advanced Technologies Center, Advanced Manufacturing and Design Center, and Knox Innovation, Opportunity, and Sustainability Center buildings. This research specifically identifies the best forecasting method for subtropical conditions and evaluates its performance by comparing it with the most commonly used methods at present, including LSTM, bidirectional LSTM, and linear regression. The proposed multivariate, multilayered LSTM model was assessed by comparing mean average error (MAE), root-mean-square error (RMSE), and mean absolute percentage error (MAPE) values with and without labeled time. Results indicate that the proposed model exhibits optimal performance with improved precision and accuracy. Specifically, the proposed LSTM model achieved a decrease in MAE of 30%, RMSE of 25%, and MAPE of 20% compared with the LSTM method. Moreover, it outperformed the bidirectional LSTM method with a reduction in MAE of 10%, RMSE of 20%, and MAPE of 18%. Furthermore, the proposed model surpassed linear regression with a decrease in MAE by 2%, RMSE by 7%, and MAPE by 10%. These findings highlight the significant performance increase achieved by the proposed multivariate multilayered LSTM model in energy consumption forecasting.
Empowerment of Papuan Women for Noken Knitted Product Diversification and Marketing Management

This empowerment program aims to foster indigenous Papuan women to be empowered and more motivated in the creativity of diversifying Noken knitted products so that they are not always in the form of traditional bags. This research was conducted for nine months (March-November 2021) in the city of Jayapura. From the results of the study with a sample of 30 people, it was found that perceptions about the diversification of noken knitted products and with marketing management were denoted by (X) can foster the spirit of creativity in women's empowerment denoted by (Y) with t count showing 3.100 with a df value of 30-2 = 28, so the number df is 28 and the t table shows 1.701 with a significance value of = 0.05 (α = 5 percent) then it is stated that there is a correlation of variable (X) to variable (Y) so that it can be stated that H0 is rejected and H1 is accepted, because t count t table, it is stated that there is a correlation between the two variables. That the existence of product diversification and knowledge of marketing management will tend to increase women's empowerment and be motivated in improving the economy of indigenous Papuan women in diversifying noken knitting as well as gaining marketing management knowledge.
Three-dimensional electromagnetic-model-based absolute attitude measurement using monostatic wideband radar

Abstract. This paper proposes an absolute attitude measurement approach by utilizing a monostatic wideband radar. In this approach, the three-dimensional electromagnetic-model (3-D em-model) and the parametric motion model of a target are combined to estimate absolute attitude. The 3-D em-model is established offline based on the target’s geometric structure. Scattering characteristics such as radar cross section and radar images from one-dimension to 3-D can be conveniently predicted by this model. By matching the high-resolution range profiles (HRRPs) of measurements with the HRRPs predicted by the 3-D em-model, the directions of the lines of sight relative to the target at different measuring times are first obtained. Then, based on the obtained directions and the parametric motion model of the target, the target absolute attitude at each measuring time can be acquired. Experiments using both data predicted by a high-frequency em-code and data measured in an anechoic chamber verify the validity of the proposed method.
New exact traveling wave solutions for three nonlinear evolution equations

In this paper, we demonstrate the effectiveness of the (G′/G)-expansion method by seeking more exact solutions of the SRLW equation, the (2+1) dimensional PKP equation and the (3+1) dimensional potential-YTSF equation. By the method, the two nonlinear evolution equations are separately reduced to non-linear ordinary differential equations (ODE) by using a simple transformation. As a result, the traveling wave solutions are obtained in three arbitrary functions including hyperbolic function solutions, trigonometric function solutions and rational solutions. When the parameters are taken as special values, we also obtain the soliton solutions of the fifth-order Kdv equation. The method appears to be easier and faster by means of a symbolic computation system.
MASSAGE EFFECT ON PSYCHOEMOTIONAL STATE AND BLOOD GLUCOSE IN TYPE 1 DIABETES ADOLESCENTS

In 2021, there were approximately 1.5 million people under age 20 with type 1 diabetes mellitus (T1D) worldwide. Massage affects both physiological processes and also improves the psycho-emotional state. There have been studies on diabetes and the effects of massage on blood glucose levels, but the topic is under-researched. The purpose of the study: to find out the effect of classical massage on the psycho-emotional state and blood glucose level (BGL) in adolescents with T1D. Fifteen adolescents aged 12 to 16, diagnosed with T1D for at least six months, participated in the study. During the study, teenagers were given five classic back massages (once a week, 30 minutes). BGL was measured with glucometer before and after each massage. Participants completed the Positive and Negative Affect Schedule before each massage and the Depression Anxiety Stress Scales at the beginning and end of all massage sessions. Oscillometric method was used to determine the heart rate. The study results show that classical massage positively affects BGL and emotional states in adolescents with T1D. The overall results show a reduced BGL as well as heart rate. Although the differences are not statistically significant, and the effect is not large due to the sample size, the change direction is clinically relevant. When evaluating the results, it is necessary to consider the adolescents' specific age.
Persistent Homology through Image Segmentation (Student Abstract)

The efficacy of topological data analysis (TDA) has been demonstrated in many different machine learning pipelines, particularly those in which structural characteristics of data are highly relevant. However, TDA's usability in large scale machine learning applications is hindered by the significant computational cost of generating persistence diagrams. In this work, a method that allows this computationally expensive process to be approximated by deep neural networks is proposed. Moreover, the method's practicality in estimating 0-dimensional persistence diagrams across a diverse range of images is shown.
Mixed oligosaccharides-induced changes in bacterial assembly during cucumber (Cucumis sativus L.) growth

The application of oligosaccharides can promote plant growth by increasing photosynthesis or inducing plant innate immunity. However, the mechanisms by which oligosaccharides affect bacterial community diversity and abundance remain unclear. In this study, a mixed oligosaccharide was applied to the growth of cucumbers. The findings of the present study suggest that the application of MixOS has significant effects on the bacterial communities in the phyllosphere, rhizosphere, and bulk soil of cucumber plants. The treatment with MixOS resulted in delayed senescence of leaves, well-developed roots, and higher fruit production. The bacterial diversity and composition varied among the different ecological niches, and MixOS application caused significant shifts in the bacterial microbiome composition, particularly in the phyllosphere. Moreover, mixed oligosaccharides increased the abundance of potential growth-promoting bacteria such as Methylorubrum spp. and Lechevalieria spp. , and more zOTUs were shared between the WM and MixOS treatments. Furthermore, the bacterial co-occurrence network analysis suggested that the modularity of the phyllosphere networks was the highest among all samples. The bacterial co-occurrence networks were altered because of the application of MixOS, indicating a greater complexity of the bacterial interactions in the rhizosphere and bulk soil. These findings suggest that mixed oligosaccharides has the potential to improve plant growth and yield by modulating the bacterial communities within and outside the plants and could provide a theoretical basis for future agricultural production.
SOME ROUGH NEUTROSOPHIC SIMILARITY MEASURES AND THEIR APPLICATION TO MULTI ATTRIBUTE DECISION MAKING

This paper presents rough Dice and Jaccard similarity measures between rough neutrosophic sets. Pramanik and Mondal proposed cosine similarity measure and applied for medical diagnosis. In the present paper, we propose some basic operational relations and weighted rough Dice and Jaccard similarity measures and investigate some of their properties. Decision making under rough neutrosophic environment is more flexible and easy to deal with indeterminate and inconsistent information. Finally, the Dice and Jaccard similarity measures are applied to a medical diagnosis problem with rough neutrosophic information.
The Peptide Salamandrin-I Modulates Components Involved in Pyroptosis and Induces Cell Death in Human Leukemia Cell Line HL-60

Amphibian secretions have been extensively investigated for the production of bioactive molecules. Salamandrin-I is an antioxidant peptide, isolated from the skin secretion of the fire salamander, that has induced no toxicity in microglia or erythrocytes. Importantly, the administration of antioxidants may constitute an adequate therapeutic approach to cancer treatment. Here, with the purpose of better characterizing the therapeutic potential of salamandrin-I, we investigated whether this antioxidant peptide also exerts anticancer activity, using the human leukemia cell line HL-60 as a cancer model. Salamandrin-I treatment induced a significant reduction in HL-60 proliferation, which was accompanied by cell cycle arrest. Furthermore, the peptide-induced cell death showed a significant increase in the LDH release in HL-60 cells. The cellular toxicity exerted by salamandrin-I is possibly related to pyroptosis, since the HL-60 cells showed loss of mitochondrial membrane potential and hyperexpression of inflammasome components following the peptide treatment. This is the first demonstration of the anticancer potential of the salamandrin-I peptide. Such results are important, as they offer relevant insights into the field of cancer therapy and allow the design of future bioactive molecules using salamandrin-I as a template.
Selective Module-to-Cell Equalizer With Internal AC Heating Capability for Automotive Lithium-Ion Batteries at Subzero Temperatures

Preheating for automotive lithium-ion batteries (LIBs) is indispensable to enhance cruising distance at subzero temperatures and to improve fast-charging performance. Internal ac heating techniques that utilize Joule heat originating from LIBs’ internal resistances are an efficient heating method. However, an additional inverter is necessary to generate ac currents for LIBs, increasing the system complexity and cost. This article proposes an integrated cell equalizer that operates either in a cell equalization mode or internal ac heating mode. The proposed equalizer is based on a selective module-to-cell equalizer using a dual active bridge (DAB) converter. The DAB converter in the equalization mode exchanges energies between the LIB module and cells. In the ac heating mode, a winding inductance of a transformer resonates to generate ac heating currents for the LIB module. A prototype for a 3400-mAh 12-cell module was built and tested. Experimental results demonstrated the successful internal heating capability and cell equalization performance.
A New Population of Galactic Bulge Planetary Nebulae

A 2008–2009 [O III] imaging survey (Kovacevic 2011) of known planetary nebulae (PNe) around the Galactic bulge (−5°l5°, −5°b5°), yielded serendipitous capture of new candidate PNe. This dissertation reports a systematic review of that imaging survey for all of its new PN candidates, and a subsequent program of confirmatory spectroscopy (Stenborg 2016a). A systematic review of the imaging survey data was carried out, facilitated by a custom metaprogramming scheme for [O III] on/off band and difference frame segmentation and interleaving. This scheme allowed efficient, if still laborious, review of ∼44,000 images, each 1280×421 pixels. Complementary archival Hα and near-IR sky survey imaging was examined to screen resultant PN candidates for obvious mimics or spurious imaging artefacts. The subsequent program of confirmatory spectroscopy used a combination of thin slit, fiber multi-object and wide-field spectrographs on 2–4 m class telescopes. Observing allocations on the fiber multi-object spectrographs (with the 2dF system, Lewis et al. 2002), though well suited to the dense stellar fields of the bulge, were limited. Efficient 2dF pointings over the candidate set were thus carefully planned with a greedy set cover algorithm (Stenborg 2015) for high observational return. Using the combined body of multiwavelength imaging and newly collected spectroscopic evidence, including that processed using a newly devised method for deriving accurate line ratios from thin-slit spectra (Stenborg 2016b), some four true, 31 probable and 83 possible new PNe are presented. PN candidates revealed to be mimics are described, as are instances of erroneous PN duplication in the literature. Physical data derived from spectra, such as radial velocities, are used in conjunction with apparent nebula diameters to distinguish bulge from foreground PNe. Where Balmer decrements were available, differential aperture photometry (with the Aperture Photometry Tool, Laher et al. 2012) was used to calculate luminosity data. The bulge PN luminosity function presented by Kovacevic (2011), was then refined using a combination of a modest set of new luminosity data, more accurate filter transmission handling, revised statistical binning and an alternate bulge-relevant extinction law. Project contributions by Ivan Bojičić Donna Burton, Russell Cannon, Judith Dawes, Orsola De Marco, Dimitri Douchin, David Frew, George Jacoby, Matthias Kronberger, Carol McNaught, Quentin Parker, Lizette Guzmán, Aaron Rizzuto, Raghvendra Sahai, Richard Shaw, Lee Spitler, Frédéric Vogt, and Albert Zijlstra are acknowledged. Macquarie University provided project funding (e.g., via a Postgraduate Research Fund, Research Development Grant, third-party Gutenberg Chair award and Research Excellence Scholarship).
Mask-Assisted Deposition of Ti on Cyclic Olefin Copolymer Foil by Pulsed Laser Deposition

Cyclic olefin copolymer (COC) is a novel type of thermoplastic polymer gaining the attention of the scientific community in electronic, optoelectronic, biomedicine and packaging applications. Despite the benefits in the use of COC such as undoubted optical transparency, chemical stability, a good water–vapor barrier and biocompatibility, its original hydrophobicity restricts its wider applicability and optimization of its performances. Presently, we report on the optical and morphological properties of the films of COC covered with Ti in selected areas. The layer of Ti on COC was deposited by pulsed lased deposition processing. The Ti/COC film was characterized by UV–Vis spectroscopy indicating that its transmittance in the visible region decreased by about 20% with respect to the pristine polymer. The quality of the deposited Ti was assessed with the morphology by scanning electron (SEM) and atomic force microscopies (AFM). The modification of the wettability was observed by the sessile drop method indicating a reduction of the native hydrophilicity.
Hop bitterness in beer evaluated by computational analysis

Beer flavour and aroma are greatly influenced by the hop(s) employed in the brewing process. The iso-α-acids post wort boiling are the major compounds responsible for bitterness, which are detected by the bitter taste receptors (TAS2Rs) in oral taste buds. This family of receptors is activated in the presence of bitter molecules, which send chemical signals to the brain, making it possible to differentiate whether the detected molecules have a pleasant taste (or not). It is of interest to predict the behaviour of hop compounds towards bitter receptors such that the bitterness of different hop varieties can be predicted based on quantitative analysis of composition. Computational simulation, based in high-performance computing (HPC), allow the simulation of interactions of molecules with the various TAS2Rs, enabling the prediction the bitterness of these hop compounds. These techniques, will soon enable the design of beverages with customised flavours, greatly reducing the need for experimental evaluation. In this work, α and β-acids, iso-α-acids, and prenylflavonoids are analysed against the bitter receptors TAS2R10, TAS2R14 and TAS2R46. Using computational blind docking and molecular dynamics, xanthohumol was identified to have the highest bitter profile.
A Branched Rutile/Anatase Phase Structure Electrode with Enhanced Electron-Hole Separation for High-Performance Photoelectrochemical DNA Biosensor

A photoelectrochemical (PEC) detection platform was built based on the branched rutile/anatase titanium dioxide (RA-TiO2) electrode. Theoretical calculations proved that the type-II band alignment of rutile and anatase could facilitate charge separation in the electrode. The self-generated electric field at the interface of two phases can enhance the electron transfer efficiency of the electrode. Carboxylated CdTe quantum dots (QDs) were applied as signal amplification factors. Without the target DNA presence, the CdTe QDs were riveted to the surface of the electrode by the hairpin probe DNA. The sensitization of CdTe QDs increased the photocurrent of the electrode significantly. When the target DNA was present, the structural changes of the hairpin probe DNA resulted in the failure of the sensitized structure. Benefiting from excellent electrode structure design and CdTe QDs sensitization strategy, the PEC assays could achieve highly sensitive and specific detection of target DNA in the range of 1 fM to 1 nM, with a detection limit of 0.23 fM. The electrode construction method proposed in this article can open a new avenue for the preparation of more efficient PEC sensing devices.
Rain Radar and Meteorological Parameters Fusion for Precipitation Nowcasting: Effect Exploration and Lightweight Model

Multi-source data can reflect the development process of a single meteorological element from different perspectives, and the combination of these data can provide a more comprehensive understanding of the current weather conditions and better predict future meteorological changes. In order to explore the influence of different elements on rainfall radar in precipitation nowcasting, we collected six different meteorological elements and fused them with rainfall radar to perform precipitation nowcasting. At the same time, considering the increase in model calculation caused by multiple data fusion and the gradient problem caused by model depth deepening, we developed a lightweight data fusion precipitation nowcasting model ReU-CA-Net model. Experimental results show that humidity, wind and temperature have more effective effects on rainfall radar, while total precipitation and dew point have weaker effects.
The Gouaux-Ashman Phenomenon: His Bundle Recordings

The differentiation of ventricular premature beats from supraventricular beats with aberrant ventricular conduction is often difficult on the basis of the surface electrocardiogram. The diagnosis of aberrant conduction has been based largely on the presence of a right bundle branch block pattern appearing in a short cycle subsequent to a longer cycle (2) . Several other criteria for diagnosing aberrant conduction of a supraventricular beat such as variable coupling time have been used to differentiate these abnormal ventricular complexes from ventricular premature beats which are most commonly followed by a full compensatory pause. This differentiation is often inexact and under some critical clinical circumstances cannot be accomplished with any degree of reliability. In 1947, Gouaux and Ashman wrote a report entitled: "Auricular Fibrillation with Aberration Simulating Ventricular Paroxysmal Tachycardia" (2). It is thus in the clinical context of atrial fibrillation that the diagnosis of aberrant conduction of supraventricular beats as opposed to ventricular tachycardia becomes particularly difficult. Recent reports in the literature have emphasized the use of the His bundle-electrocardiographic technique as a means of differentiating between aberrant conduction and ventricular ectopic complexes (3, 4, and 6). In order to evaluate this method of differentiation, it is important to note the physio-
A Geometric GARCH Framework for Covariance Dynamics

This paper develops new multivariate GARCH models that respect intrinsic geometric properties of covariance matrix, and are physically meaningful. These models can be specified using either asset returns or realized covariances. New parameter estimation method and performance evaluation methods are also developed, and limitations of existing evaluation methods are addressed. Empirical results suggest that our models outperform existing models such as BEKK and DCC, and realized covariance based models outperform return based models. It turns out that the variation of covariance matrix can be identified by a few principal directions, implying potential for a parsimonious specification of covariance dynamics.
For what trading strategies is the tax payment stream of infinite variation?

ABSTRACT For an Itô asset price process and under quite mild structural assumptions, we show that the accumulated payments of a linear tax on trading gains are of infinite variation if the quadratic covariation of the trading strategy and the asset price is negative. By contrast, if the strategy is a smooth function of the asset price and some finite variation processes with positive partial derivative with respect to the price variable, then accumulated tax payments are of finite variation. An interesting example are constant proportion portfolio insurance (CPPI) strategies which we extend to models with capital gains taxes. The associated tax payment stream is of finite variation if the tax-adjusted constant multiple of the cushion which is invested in the risky asset is bigger or equal to one. Otherwise, it is of infinite variation.