Miracle-dz/UniFAR-FTUs huggingface dataset:
Power Analysis Based on Non-intrusive Power Load Monitoring and Decomposition

Monitoring power consumption, reducing energy consumption, and achieving healthy and green development are topics of concern. In this paper, a non-invasive power load decomposition method is proposed to monitor power consumption accurately. The innovation of this paper is to propose an optimal solution method of non-invasive power coincidence decomposition and apply this method to the monitoring of power consumption. For the linear superposition estimation of voltage and current data of power equipment, the weight coefficient is calculated by using load decomposition, and the energy consumption proportion of power equipment is obtained. Finally, the experiment proves that this method has the effectiveness of power energy consumption monitoring.
Study on Probabilistic Load Forecasting Model and Its Improvements

The current research on probabilistic load forecasting models mostly combines machine learning algorithms and quantile regression methods to construct quantile models. This paper first summarizes and combs the commonly used quantile regression forecast models. Combined with the actual data, we analyzed the main factors affecting the performance of probabilistic load forecasting and attempted to elaborate on the influencing mechanism. Then, a quantile regression probabilistic load forecasting strategy based on sample weight is designed. According to the analysis and experimental verification, we propose the future research direction for probabilistic load forecasting.
The e‐tongue‐based classification and authentication of mineral water samples using cross‐correlation‐based PCA and Sammon's nonlinear mapping

The present paper elaborates on the design of classifiers based on cross‐correlation‐based principal component analysis (PCA) and Sammon's nonlinear mapping (NLM) using current signals obtained from electronic tongue (e‐tongue) with commercial mineral water samples available in the Indian market. The pulse‐voltammetric method is used to capture the electroanalytical/electrochemical characteristics of the sampled mineral waters by considering a real model for the liquid–electrode interface in a given e‐tongue apparatus. Then the cross‐correlation coefficients between the output and input signals are determined. Both PCA and Sammon's NLM create a subspace from high‐dimensional mineral water data by considering the principal eigenvectors and minimising the stress function, respectively. The proposed cross‐correlation‐based PCA and Sammon's classifiers establish the highest separation distance among the investigated water brands and carries out the authentication of more than one unknown sample of the same brand with a certain degree of variability with respect to their sources. Copyright © 2013 John Wiley & Sons, Ltd.
Simulation and Analysis of Civil Aircraft Cabin Core Network Architecture based on Daisy Chain

With the rapid development of electronic technology, the application of civil aircraft cabin electronics is becoming more and more advanced. The traditional cabin core network architecture can no longer meet current cabin application requirements. Meanwhile, there are multiple of devices with duplicated functions in cabin of civil aircraft, and the number of each device with duplicated functions is very large. In order to solve the problem of repetitive deployment of a large number of devices with duplicated functions in the cabin system, the civil aircraft cabin core network architecture is proposed to adopt a two-level daisy chain network topology which has many advantages such as high robustness, high scalability and less cables. In the design phase of civil aircraft cabin core network architecture, modeling and simulation of the network architecture through simulation tools is an important means to study, predict, justify and judge the network performance. In this paper, a two-level daisy chain network architecture model with about 67 nodes for civil aircraft cabin core network is developed and the network performance of the model mentioned above is simulated through OPNET simulation tool in order to perform a trade-off analysis and evaluate the cabin core network architecture.
k-Decomposable Monomial Ideals ⁄

In this paper we introduce a class of monomial ideals, called k-decomposable ideals. It is shown that the class of k-decomposable ideals is contained in the class of monomial ideals with linear quotients, and when k is large enough, the class of k-decomposable ideals is equal to the class of ideals with linear quotients. In addition, it is shown that a d-dimensional simplicial complex is k-decomposable if and only if the Stanley-Reisner ideal of its Alexander dual is a k-decomposable ideal, where k ≤ d. Moreover, it is shown that every k-decomposable ideal is componentwise k-decomposable.
Phytochemicals and Proximate Analysis of Litsea Cubeba Lour. Barks

Indonesia is a country with a lot of spice plant resources. Attarasa (Litsea cubeba L.), which is frequently found in the North Tapanuli area, is one form of spice that can be developed. Attarasa (Litsea cubeba L.) is a Lauraceae plant with varous biological activity such as antidepressant, anti-inflammatory, antioxidant, pesticide, antibacterial, anticancer, and neuropharmacology. An estimation of the nutrient composition, phytochemicals and proximate values of plants gives the idea of their nutritional significance. This study aimed to determine phytochemicals and proximate analysis in Litsea cubeba Lour. barks simplex powder. Analysis of phytochemicals were analyzed with thin layer chromatography (TLC) method and proximate (water and ash content, carbohydrate, protein, crude fiber and total fat) were analyzed based on SNI-01-2891-1992. Alkaloids, steroids/triterpenoids, tannins, saponins, flavonoids, glycosides were found in simplex powder. The water content, ash content, carbohydrate, protein, crude fiber and total fat of simple powder were 8.70%; 1.79%; 41.50%; 8.43%; 35.80% and 0.78% respectively. Simplex powder of Litsea cubeba Lour. barks has contained various of phytochemicals and proximate value.
Reference Posterior Distributions for Bayesian Inference

SUMMARY A procedure is proposed to derive reference posterior distributions which approximately describe the inferential content of the data without incorporating any other information. More explicitly, operational priors, derived from informationtheoretical considerations, are used to obtain reference posteriors which may be expected to approximate the posteriors which would have been obtained with the use of proper priors describing vague initial states of knowledge. The results obtained unify and generalize some previous work and seem to overcome criticisms to which this has been subject.
Improving adaptation to wildfire smoke and extreme heat in frontline communities: evidence from a community-engaged pilot study in the San Francisco Bay Area

Exposure to climate hazards is increasing, and the experiences of frontline communities warrant meaningful and urgent attention towards how to mitigate, manage, and adapt to hazards. We report results from a community-engaged pilot (November 2021–June 2022) of N = 30 participants in four frontline communities of the San Francisco Bay Area, California, USA. The study region is an area where low-income, non-English-speaking residents are inequitably exposed and vulnerable to wildfire smoke, extreme heat, and other climate hazards. Building from a yearslong partnership of researchers, community organizations, and community members, we report the feasibility of a project piloting (1) instruments to monitor indoor air quality, temperature, and participant sleep health, and (2) interventions to improve indoor air quality and support protective behaviors. Data collection included experience-based survey data (via in-person administered surveys and a smartphone application) and interviews about heat and air quality, as well as data from an air monitoring protocol. Results cover the prevalence of hazard exposure and protective actions among participants. We discuss throughout methods for conducting and evaluating a community-engaged pilot, particularly by using a community ambassador program. Implications include the feasibility of community-engaged research projects, including discussion of resources required to accomplish this work.
Research on Improved Control Technology of Power Converter in DC Grid System

With the development of distributed clean energy, the DC grid system begins to highlight its advantages. Based on the virtual motor theory, the control strategy of a DC power converter is proposed. The DC side adopts the virtual DC motor control to enhance the system’s inertia and damping and improve the stability of the DC grid system. Then, the power converter in the DC grid system is designed, and the mathematical model of virtual motor control is established. Finally, for a typical DC grid system, the simulation results using software verify the correctness and effectiveness of the proposed technical path of DC power grid, providing a new technology roadmap for the research of DC power grid and power converter.
Multi-Criteria Optimization for the Decision Making in Building Envelope Thermal Design

The increase of energy utilization reinforced the need of reducing the primary energy consumption based on fossil fuels and the limitation of carbon dioxide (CO2) emissions to the atmosphere. Such goals aim at the provision of affordable and generally clean energy for the citizens. However, the final decision making is hard to be achieved, due not only to the multitude variety of such proposed technologies, but also to the consideration of different criteria and scenarios, that in many cases are conflicting with each other. This paper deals with the optimization of the building envelope design considering thermal insulation, economic, and environmental aspects. The Life Cycle Assessment perspective is implemented for the data of the environmental criterion, focusing on the CO2 emissions and the cumulative energy demand. The decision making refers not only to the selection of the appropriate thermal insulation material and its width, but also to the choice of the window frame material. In that way, Mathematical Programming (MP) models for the optimization of such criteria were developed. The General Algebraic Modeling System (GAMS) was used to model these problems and the BARON solver was used to solve them. The respective MP models include mixed integer nonlinear programming problems, multiple objective functions, as well as multi-criteria techniques such as goal programming. According to the results, the increase of the envelope thermal protection implies that the economic and environmental costs are higher, displaying the importance of criteria compensation. For smoothing the conflicting criteria, a weighting sensitivity analysis was conducted, showing that reference optimal values are formed for certain ranges of weights, elaborating the framework of decision-making without having to precisely prescribe them beforehand. All in all, the use of the optimization models can improve and facilitate the building design process by analyzing the advantages and drawbacks of the various materials/technologies and allowing the comparative evaluation of the considered alternatives.
Reliability Analysis for Programs with Redundancy Computation for Soft Errors

Soft error is one of the factors which may affect the reliability of computer programs. A common method to alleviate the impact of soft errors is redundancy computation, a classical data flow error detection mechanism. However, a program with redundancy computation may still have some vulnerable spots, which might be caused by the flaw during implementation or the instruction reordering given by compiler optimization. Finding the vulnerable spots of a program with redundancy computation is of great significance to evaluate the capability of the error detection mechanism. There are some conventional methods to analyze the reliability of a program under soft errors, such as the irradiation experiment, fault injection, and modeling analysis. However, the irradiation experiment is expensive, fault injection is very time-consuming, and the existing modeling analysis methods have not considered the error detection mechanism. This paper proposes a novel method of reliability analysis for programs with redundancy computation by analyzing the dynamic instruction sequence. Experimental results show that our approach has fairly high accuracy and a false negative rate of about 0.0545.
A review of the contributions of Artificial Intelligence in fire engineering, in a world rapidly realising the need for sustainable design

With sustainability being at the forefront of international civil and structural engineering professional bodies agendas, Artificial Intelligence (AI), and its numerous facets, has potential of providing an invaluable tool. Although the notion of AI is not new, it only recently started gaining momentum in the sector of fire engineering. The combination of tangible benefits in scientific and industrial applications, in conjunction with a developing understanding of its functionality, requirements and deliverables, from practitioners and researchers alike, supported a wider acceptance of the method. Acknowledging the scope of AI applications is vast, a focus will be given to fire engineering scientific projects. A selection of recent, representative scientific papers will be reviewed with the aim of debating the attributes of Artificial Intelligence in the context of sustainability, while also assessing its current contribution to the technical advancement of the field.
COMPUTATION OF THE REGRESSION KERNEL MATRIX USING SEMIDEFINITE PROGRAMMING

Оптимальное ядро матрицы регрессии рассчитано методом полуопределенногопрограммирования с использованием трех базисных матриц. В работе представле-ны предварительные результаты, использующие стандартные реперные данные, длякоторых выявлены оптимальные параметры линейной комбинации трех базисных ма-триц ядра.
Saliva as an alternative sample type for detection of pneumococcal carriage in young children

In children, the gold standard for the detection of pneumococcal carriage is conventional culture of a nasopharyngeal swab. Saliva, however, has a history as one of the most sensitive methods for surveillances on pneumococcal colonisation and has recently been shown to improve carriage detection in older age groups. Here, we compared the sensitivity of nasopharyngeal and saliva samples from PCV7-vaccinated 24-month-old children for pneumococcal carriage detection using conventional and molecular diagnostic methods. Nasopharyngeal and saliva samples were collected from 288 24-month-old children during the autumn/winter, 2012/2013. All samples were first processed by conventional diagnostic techniques. Next, DNA extracted from all plate growth was tested by qPCR for the presence of pneumococcal genes piaB and lytA and a subset of serotypes. By culture, 164/288 (57%) nasopharyngeal swabs tested positive for pneumococcus, but detection was not possible from saliva due to abundant polymicrobial growth on culture-plates. Molecular methods increased the number of children pneumococci-positive to 172/288 (60%) when testing culture-enriched saliva and to 212/288 (73%) when testing nasopharyngeal samples. Altogether, by molecular methods 239/288 (83%) infants were positive, with qPCR-based carriage detection of culture-enriched nasopharyngeal swabs significantly detecting more carriers compared to either conventional culture (p<0.001) or qPCR-detection of saliva (p<0.001). However, 27/240 (11%) carriers were positive only in saliva, significantly contributing to the overall number of carriers detected (p<0.01). While testing nasopharyngeal swabs with qPCR proved most sensitive for pneumococcal detection in infants, saliva sampling could be considered as complementary to provide additional information on carriage and serotypes which may not be detected in the nasopharynx and may be particularly useful in longitudinal studies, requiring repeated sampling events.
Status of Magnetic Resonance Imaging Systems and Quality Control Programs in Nigeria

Magnetic Resonance Imaging (MRI) employs the use of magnetic field and radio waves to produce images of the body. Quality Control (QC) is essential for ensuring optimal performance of MRI systems, as recommended by American College of Radiology (ACR), American Association of Physicists in Medicine (AAPM), and the International Society of Magnetic Resonance in Medicine (ISMRM). This survey examines the status of MRI systems and QC in Nigeria. Questionnaires were administered through google form to Radiologists, Radiographers, Medical Physicists, and biomedical engineers working in various MRI centers across the country, with a total of 44 responses received from 24 centers. The professional bodies of the professionals involved facilitated the questionnaire administration. The survey results indicate that 1.5T is the most common field strength of MRI systems in the country. 83% of the imaging centers rely solely on the service engineer to keep the MRI operational. Although 71% of the centers have Radiation Safety Advisors (RSA), their services do not include MRI. Moreover, 45% of the centers lack an understanding of the composition and importance of MRI QC. This is due to factors such as the absence of regulatory requirements, high patient workload, no trained personnel, and the unavailability of QC equipment. The findings of this survey highlight the need for improved QC programs in the country to improve image quality and longevity of MRI systems. It also underscores the need for the establishment of a regulatory framework and national policy to ensure the safe use of MRI in Nigeria.
New heterodont odontocetes from the Oligocene Pysht Formation in Washington State, U.S.A., and a reevaluation of Simocetidae (Cetacea, Odontoceti)

Odontocetes first appeared in the fossil record by the early Oligocene, and their early evolutionary history can provide clues as to how some of their unique adaptations, such as echolocation, evolved. Here, three new specimens from the early to late Oligocene Pysht Formation are described further increasing our understanding of the richness and diversity of early odontocetes, particularly for the North Pacific. Phylogenetic analysis shows that the new specimens are part of a more inclusive, redefined Simocetidae, which now includes Simocetus rayi, Olympicetus sp. 1, Olympicetus avitus, O. thalassodon sp. nov., and a large unnamed taxon (Simocetidae gen. et sp. A), all part of a North Pacific clade that represents one of the earliest diverging groups of odontocetes. Amongst these, Olympicetus thalassodon sp. nov. represents one of the best known simocetids, offering new information on the cranial and dental morphology of early odontocetes. Furthermore, the inclusion of CCNHM 1000, here considered to represent a neonate of Olympicetus sp. , as part of the Simocetidae, suggests that members of this group may not have had the capability of ultrasonic hearing, at least during their early ontogenetic stages. Based on the new specimens, the dentition of simocetids is interpreted as being plesiomorphic, with a tooth count more akin to that of basilosaurids and early toothed mysticetes, while other features of the skull and hyoid suggest various forms of prey acquisition, including raptorial or combined feeding in Olympicetus spp. , and suction feeding in Simocetus. Finally, body size estimates show that small to moderately large taxa are present in Simocetidae, with the largest taxon represented by Simocetidae gen. et sp. A with an estimated body length of 3 m, which places it as the largest known simocetid, and amongst the largest Oligocene odontocetes. The new specimens described here add to a growing list of Oligocene marine tetrapods from the North Pacific, further promoting faunistic comparisons across other contemporaneous and younger assemblages, that will allow for an improved understanding of the evolution of marine faunas in the region.
An Analysis Regarding the Association Between the Nuclear Pore Complex (NPC) and Hepatocellular Carcinoma (HCC)

Background The nuclear pore complex (NPC) is the main mediator of nuclear and cytoplasmic communication, and delaying or blocking nuclear RNA export and protein shuttling can inhibit cell proliferation and induce apoptosis. Although NPC is a research hotspot in structural biology, relevant studies in hepatocellular carcinoma are scarce, especially in terms of translation into clinical practice. Methods This study used a bioinformatics approach combining validation experiments to investigate the biological mechanisms that may be related with NPC. A series of experiments performed to explore the function of the Targeting protein for Xenopus kinesin-like protein 2 (TPX2) in HCC. Results Patients with HCC can be divided into two NPC clusters. Patients with high NPC levels (C1) had a shorter survival time than those with low NPC levels (C2) and are characterised by high levels of proliferative signals. We demonstrated that TPX2 regulates HCC growth and inhibits apoptosis in an NPC-dependent manner and contributes to the maintenance of HCC stemness. We developed the NPCScore to predict the prognosis and degree of differentiation in HCC patients. Conclusion NPC plays an important role in the malignant proliferation of HCC. Assessing NPC expression patterns could help enhance our understanding of tumor cell proliferation and could guide more effective chemotherapeutic strategies.
Luteolin supplementation during porcine oocyte maturation improves the developmental competence of parthenogenetic activation and cloned embryos

Luteolin (Lut), a polyphenolic compound that belongs to the flavone subclass of flavonoids, possesses anti-inflammatory, cytoprotective, and antioxidant activities. However, little is known regarding its role in mammalian oocyte maturation. This study examined the effect of Lut supplementation during in vitro maturation (IVM) on oocyte maturation and subsequent developmental competence after somatic cell nuclear transfer (SCNT) in pigs. Lut supplementation significantly increased the proportions of complete cumulus cell expansion and metaphase II (MII) oocytes, compared with control oocytes. After parthenogenetic activation or SCNT, the developmental competence of Lut-supplemented MII oocytes was significantly enhanced, as indicated by higher rates of cleavage, blastocyst formation, expanded or hatching blastocysts, and cell survival, as well as increased cell numbers. Lut-supplemented MII oocytes exhibited significantly lower levels of reactive oxygen species and higher levels of glutathione than control MII oocytes. Lut supplementation also activated lipid metabolism, assessed according to the levels of lipid droplets, fatty acids, and ATP. The active mitochondria content and mitochondrial membrane potential were significantly increased, whereas cytochrome c and cleaved caspase-3 levels were significantly decreased, by Lut supplementation. These results suggest that Lut supplementation during IVM improves porcine oocyte maturation through the reduction of oxidative stress and mitochondria-mediated apoptosis.