Miracle-dz/UniFAR-FTUs huggingface dataset:
Load forecasting via suboptimal seasonal autoregressive models and iteratively reweighted least squares estimation

Suboptimal least squares or iteratively reweighted least-squares (IRWLS) procedures for estimating the parameters of a seasonal multiplicative autoregressive (AR) model encountered during power system load forecasting are proposed. The method involves using an interactive computer environment to estimate the parameters of a seasonal multiplicative AR process. The method comprises five major computational steps. The first determines the order of the seasonal multiplicative AR process, and the second uses the least squares or the IRWLS to estimate the optimal nonseasonal AR model parameters. In the third step one obtains the intermediate series by back forecast, which is followed by using the least squares or the IRWLS to estimate the optimal seasonal AR parameters. The final step uses the estimated parameters to forecast future load. The method is applied to predict the Nova Scotia Power Corporation's 168 lead time hourly load. The results obtained are documented and compared with results based on the Box and Jenkins method. >
Neural predictive control for single-speed ground source heat pumps connected to a floor heating system for typical French dwelling

Ground source heat pumps connected to a floor heating system can offer high efficiency for heating and cooling. However, the inertia of the floor heating creates a thermal lag that can lead to discomfort with conventional controllers. For this reason, a neural predictive controller for single-speed ground source heat pumps systems was developed. The objective of the controller is to minimize the energy consumption and maintain a good comfort level anticipating the thermal behavior of the building and external disturbances. A new neural network module for the heating power prediction of a single-speed ground source heat pumps system is proposed. The operation of the controller has been tested by simulation on a typical French dwelling during the month of March. In addition to an increase of comfort, numerical results showed that the predictive controller can provide up to 18% energy savings with the studied building in comparison with conventional controllers. Practical Implications: Ground source heat pumps are currently equipped with conventional controllers that are not necessarily suited for such systems, leading to overconsumption and discomfort. In the medium term, ground source heat pumps could be equipped as standard with predictive controllers as presented here. Further work needs to be done to evaluate the feasibility of such an implementation as regards the return on investment and the controller’s robustness.
Model-based OPC using the MEEF matrix

This paper covers the topic of matrix-OPC. In matrix-OPC, we perform OPC edge movements, considering the cross-MEEF of all edges which affect the edge placement error (EPE) at each simulation site. This contrasts with standard model-based OPC methods. In the standard methods a simulation site is placed on each edge fragment. The EPE is monitored by simulation along all sites. The EPE is assumed to be controllable for each site by moving the position of its edge fragment. In matrix OPC, not just one fragment, but all fragments which influence the EPE are used to control the EPE for a given site. Matrix OPC has application to the following areas: (1) OPC on PSM where non-adjacent edges can have larger impact than adjacent edges, (2) dipole and other complex illumination schemes, and (3) when the assumption that the self-MEEF terms are dominant starts to break down or when MEEF becomes negative.
On-Orbit Servicing Task Allocation for Multi-Spacecrafts Using HDPSO

By analyzing the key indicators which contain the value of the target spacecrafts, the attrition of servicing spacecrafts and consumption of time and fuel, a mathematical model is formulated. And a hybrid discrete particle swarm optimization (HDPSO) algorithm is proposed. Simulation results show that the algorithm can efficiently solve the multi-spacecrafts task allocation problem under multiple constraints.
Validity and Reliability of Elementary School Students' Learning Motivation Instruments in Physical Education

Motivation is one of the research variables that is widely studied in various scientific fields, including physical education and sports. However, at the elementary school level, there is still no motivational instrument in physical education that has good validity and reliability. This study aims to determine the validity and reliability of elementary students' learning motivation instruments in physical education. The research method uses descriptive research methods with a quantitative approach. The population used grade 4, 5, and 6 elementary school students in three different elementary schools in one sub-district in Indramayu district as many as 134 students with a sample of 50 taken using incidental sampling. The data collection technique used a learning motivation questionnaire. The data analysis technique used Cronbach's Alpha. The results of the study concluded that the elementary students' learning motivation instrument in physical education had very good reliability. In order to conduct further research with more complex analytical techniques in data analysis.Key words: validity, reliability, motivation, physical education
Global Water Scarcity Assessment Incorporating Green Water in Crop Production

Over the past decades, water scarcity has become prevalent in many regions of the world. Previous water scarcity assessments largely considered “blue water” (surface and groundwater) and overlooked “green water” (soil moisture), despite its key role in supporting crop production. Moreover, the long‐term evolution of water scarcity remains unclear. Here, we propose an agricultural water scarcity index (WSIAW) that explicitly combines green and blue water. The WSIAW measures the degree to which both green and blue water availabilities can satisfy the agricultural water requirement. The WSIAW can directly indicate water scarcity in both rainfed and irrigated areas, which cannot be captured by the blue water scarcity index alone. Using the WSIAW, we assessed the evolution of water scarcity across regions of the world during 1971–2010 at a spatial resolution of 0.5 arc degree. We found that 22% of the 228 river basins with a WSIAW of >1 presented a much broader geographical coverage compared with estimates of water scarcity based on blue water only (8% of total basins). The WSIAW also exhibited a clear trend of increasing severity over the study period, particularly in major agricultural regions. Expanding cropland and increasing/competing water withdrawals by other sectors were the main reasons for the intensification of water scarcity, which was pronounced in some Asian and African river basins. The proposed WSIAW can be applied to different regions with various scales and is important for addressing global water scarcity issues.
Effect of misalignment on the electrical characteristics of anisotropic conductive adhesive joints

The effect of misalignment on the electrical properties of anisotropic conductive film (ACF) joints is investigated in this work. It is found that along with the increase of misalignment, the connection resistance of ACF joints increases. When the misalignment in the x-direction is less than 5 /spl mu/m, the increase rate of connection resistance is quite large. Then, along with the severity of misalignment, the increase rate becomes smaller. Finally, when the misalignment is close to 20 /spl mu/m, the increase rate rises again. The Holm's electric contact theory is used for understanding the connection resistance variation. On the other hand, with the increase of misalignment in the x-direction, the insulation resistance between ACF joints decreases. If the misalignment exceeded 10 /spl mu/m, the decrease is prominent for the Ni particle ACF joints. This phenomenon can be explained by the effect of dielectric damage of the epoxy. The mathematical models are developed to calculate the variation of the probability of open and shorting after misalignment and predicate the maximum misalignment tolerance.
Application critical parameters for rubidium standards

The purpose of this paper is to provide guidance to the novice in the field as well as a reference for the experienced. It helps identify issues for discussion with vendors and customers. Rubidium standards find two general applications, as frequency sources and as timekeepers. When used as frequency generators, spectral purity, long-term and short-term stability are key parameters. Spectral purity encompasses phase noise, spurs, harmonics and sub-harmonics. Clock applications mainly focus on long-term and medium-term stability and accuracy. In either application, the environment and its impact on the performance of the oscillator must be carefully considered. Not only environmental extremes but also the rate of change must be taken into account. Error budgets, based on the oscillator's specific environmental sensitivities allow performance prediction under actual operating conditions. Key parameters to consider are temperature, pressure, humidity, vibration, shock, magnetic field etc. The oscillator may show a transient and a permanent response to these stimuli. The performance also depends significantly on the operating time of the standard. A major benefit to the operator of a rubidium standard is its self-check feature, which indicates that its internal crystal oscillator is locked to the rubidium hyperfine transition. With the help of microprocessors and integrated sensors, the oscillator performance can be modeled. This is especially true if an external reference is available for a significant portion of the time. It is then possible to auto-correlate the measurements and achieve significant performance improvements even if the external reference is lost. This is of special interest in CDMA (Code Division Multiple Access) wireless telephone systems where a GPS receiver is needed to provide UTC timing. In such an application, the predictability of the standard ultimately limits its performance. Other important considerations in most applications are the MTBF and the time of maintenance free operation. Some pending maintenance actions can be predicted and reported so that the user can schedule the service event. This paper discusses these aspects in some detail and provides help in specifying/understanding critical parameters for frequency generators as well as for clocks.
A uneven Doherty power amplifier using anticoupled power divider and composite right/left‐handed transmission lines

A uneven Doherty power amplifier using anticoupled power divider and composite right/left‐handed transmission lines (CRLH‐TL) is proposed for efficiency and linearity improvement.Uneven power divider is achieved by anticoupled line divider and CRLH‐TL, the structure is used to deliver more input power to the peaking amplifier than the main amplifier. The CRLH‐TL with lead 90° phase shifter at the input of maim amplifier is designed to flexible variation of power division ratio and phase, besides, anticoupled power divider to suppress the second harmonic of front class input. The drain efficiency of 45.2 and 39.3% has been measured at the saturated output power of 43 dBm and 6‐dB back off, respectively. Furthermore, the third‐order intermodulation distortion performance and ACLR is improved as much as 5–6 dB when compared with conventional uneven Doherty amplifier. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 53:322–324, 2011; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.25715
Histopathological study of parasitic effect of Dactylogyrus vastator (Nybelin, 1924) on the Catla catla in culture ponds in Darbhanga

The current investigation was undertaken to study the gill histopathologies due to infestation of helminth parasite, monogenetic trematode, Dactylogyrus vastator (Nybelin, 1924) in the Indian major carp, Catla catla. There were only symptomatic samples of diseased fishes comprised of fingerlings and adults of Catla catla collected and examined. Behaviour respond studiedpartial suffocation, lethargic swimming and clinical sign observed as their gills were very pale in colour and had haemorrhagic and inflamed areas at the sites of parasite attachments. The significant histopathological lesions and changes were seen in the gills where the parasites were found attached to the lamellar tissues causing local erosions of the epithelium and hyperplasia of the secondary lamellar epithelium and fusion of adjacent secondary lamellae, vascular congestion leading to aneurysm besides, clumbing of the tips in secondary lamellae, congested gill showed accumulation of blood leading to swelling hypertrophy in secondary lamellae, autolysis of epithelium and secondary lamellae and severe edema and necrosis were observed in gill of C. catla. No changes were noticed in other organs of the affected fishes. In severe infestations the fishes showed growth retardation. The histopathological analysis for parasites in fish will be useful tool for fish
A Personality Prediction Method of WEIBO Users based on Personality Lexicon

Personality is the dominant factor affecting human behavior. With the rise of social network platforms, increasing attention has been paid to predict personality traits by analyzing users' behavior information, and pay little attention to the text contents, making it insufficient to explain personality from the perspective of texts. Therefore, in this paper, we propose a personality prediction method based on personality lexicon. Firstly, we extract keywords from texts, and use word embedding techniques to construct a Chinese personality lexicon. Based on the lexicon, we analyze the correlation between personality traits and different semantic categories of words, and extract the semantic features of the texts posted by Weibo users to construct personality prediction models using classification algorithm. The final experiments shows that compared with SC-LIWC, the personality lexicon constructed in this paper can achieve a better performance.
The Prevalence of Shiga Toxin-Producing Escherichia coli and Enteropathogenic Escherichia coli Isolated from Raw Chicken Meat Samples

Background Shiga toxin-producing Escherichia coli (STEC) is known as a crucial zoonotic food-borne pathogen. A total of 257 raw chicken meat samples were collected from different markets in Hamadan, west of Iran, from January 2016 to May 2017. Materials and Methods The samples were cultured in selective and differential culture media, and the virulence genes of E. coli isolates were analyzed by PCR assay. The antibiotic resistance patterns of E. coli isolates were determined by the disk diffusion method. The genetic relatedness of the E. coli O157 isolates was analyzed by ERIC-PCR. Results In total, 93 (36% ± 3.12) of the isolates were identified as E. coli in this study. Based on serological and microbiological tests, 36 (38.7% ± 9.9), 7 (7.5% ± 5.35), and 12 (12.9% ± 6.81) of the E. coli isolates were characterized as STEC, enteropathogenic E. coli (EPEC), and attaching and effacing E. coli (AEEC) strains, respectively. A high level of resistance to nalidixic acid (91.4% ± 5.7), tetracycline (89.2% ± 6.31), ampicillin (82.8% ± 7.67), and trimotoprime-sulfametoxazole (71% ± 9.22) was detected among the E. coli isolates. The analysis of the ERIC-PCR results showed five different ERIC types among the E. coli O157 isolates. Conclusions Based on our findings, control and check-up of poultry meats should be considered as a crucial issue for public health.
Impact of solid-state fermentation on factors and mechanisms influencing the bioactive compounds of grains and processing by-products

Abstract Cereal and legume grains and their processing by-products are rich sources of bioactives such as phenolics with considerable health potential, but these bioactives suffer from low bioaccessibility and bioavailability, resulting in limited use. Several studies have demonstrated that solid-state fermentation (SSF) with food-grade microorganisms is effective in releasing bound phenolic compounds in cereal and legume products. In this review, we discuss the effect of SSF on cereal and legume grains and their by-products by examining the role of specific microorganisms, their hydrolytic enzymes, fermentability of agri-food substrates, and the potential health benefits of SSF-enhanced bioactive compounds. SSF with fungi (Aspergillus spp. and Rhizopus spp.), bacteria (Bacillus subtilis and lactic acid bacteria (LAB) spp. ) and yeast (Saccharomyces cerevisiae) significantly increased the bioactive phenolics and antioxidant capacities in cereal and legume grains and by-products, mainly through carbohydrate-cleaving enzymes. Increased bioactive phenolic and peptide contents of SSF-bioprocessed cereal and legume grains have been implicated for improved antioxidant, anti-inflammatory, anti-carcinogenic, anti-diabetic, and angiotensin-converting-enzyme (ACE) inhibitory effects in fermented agri-food products, but these remain as preliminary results. Future research should focus on the microbial mechanisms, suitability of substrates, and the physiological health benefits of SSF-treated grains and by-products. Graphical Abstract
Planning to Determine Low-Volume Road Standards, Long-Term Needs, and Environmental Risks and Trade-Offs

Inventories of forest roads are used to manage road networks by chronicling existing road conditions and flagging areas that require attention. Tools are needed to integrate the environmental performance of forest roads, as captured in a road inventory, into the management of these roads. This study used a combination of a multicriterion decision analysis tool (Analytic Hierarchy Process) and a timber transportation model (NETWORK 2000) to determine road standards to minimize both environmental and economic costs. This analysis technique is applied to a forest road network in western Oregon.
Acquiring Skills for Virtual Multicultural Teams through a Business Game

In our contribution we will analyze typical behavioral factors coming up in virtual multicultural teams, thus in teams working together across geographical boundaries by communicating mainly by the use of electronic media. With the help of an online business game we aim to find innovative ways to train team members and leaders to acquire skills required for efficient virtual multicultural teamwork and communication. Studentsdata will help in a first step to find out more about the factors influencing virtual multicultural teams and will, as a second step, serve as a basis for creating a virtual team training for business.
An analysis of the in-plane acceleration sensitivity of ST-cut quartz surface wave resonators with the substrate extending beyond the supports

For this support configuration a small amount of flexure occurs in the active substrate for the case of in-plane acceleration, so the dominant extensional biasing state is found first and used to define conservatively the flexural biasing state. The calculated results show that very low (less than a few parts in 10/sup 11/) in-plane acceleration sensitivities can be obtained, and since the normal acceleration sensitivity can readily be made to vanish, very low resultant acceleration sensitivities can be achieved with this support configuration. <<ETX>>
IBU: An In-Block Update Address Mapping Scheme for Solid-State Drives

One of the most important features of solid-state drives (SSDs) is the ability to update data sectors out of place, performing garbage collection operations within its physical blocks, to mitigate limited flash memory lifespan. In SSDs, a firmware called the Flash Translation Layer (FTL) is used to hide such features from the operating system. One way to extend the lifespan of flash memories is to use data compression at the FTL level. In compression-based FTLs, the address mapping type has a significant effect on the efficiency and read/write speed. The type of address mapping in previous similar schemes is based on page-level address translation and requires high memory space for the mapping table. In this paper, we propose a compression-based hybrid FTL called In Block Update Address Mapping, in which the pages of each logical block are compressed, and fewer physical pages are written in physical blocks. Therefore, a small number of free pages remain. In the proposed scheme, the required memory of the mapping table has been reduced by 78% when compared to similar schemes. Moreover, extensive simulation results reported in this paper show that the proposed FTL scheme outperforms other FTL schemes in the read and write operations under realistic benchmark workloads.
Simulation of Mixed Oxide (MOX) Versus Low Enrichment Uranium (LEU) Fuel Severe Accident Response Using MELCOR

The U.S. Department of Energy (DOE) plans to dispose of up to 33 tons of excess weapons-grade plutonium (WG-Pu) by irradiating it in the form of mixed-oxide (MOX) fuel in four U.S. commercial pressurized-water reactors (PWRs). The U.S. Nuclear Regulatory Commission (NRC) has initiated a study to evaluate the impact of using MOX fuels at these reactors. Responsible studies of operational risk must begin by estimating the potential radiological release to the environment (or source term) that could be postulated by an accident involving substantial meltdown of the reactor fuel. This paper describes the results of a study to develop representative source terms for such accidents using mechanistic MELCOR severe accident simulations. These simulations compare calculated radiological source terms for postulated accidents involving present-day low-enriched uranium (LEU) fuels with those that involve MOX fuels.
Assisting Access to COVID-19 Information Through Deep Learning Based Machine Translation: Attention Mechanism Via Bidirectional GRU

: Due to the recent COVID-19 crisis, there is an increasing need for effective communication and sharing of information internationally in various fields. One of the obstacles that these needs face are language: In texts such as COVID-19 related research, currently existing machine translations which are effective in normal texts because they are trained with normal-context data are often inaccurate, and manual translation is slow and laboursome. So, the exchange of information is being delayed. To overcome this language barrier, this project aimed to create a model that is effective for translating COVID-19 crisis related data specifically. In the research, there are two models created: one is trained with TAUS English-French Corona Crisis Corpus, and another used transfer learning by Kaggle English-French corpus and then trained with TAUS corpus. The model consisted of four bidirectional GRU layers, and used rmsprop as optimizer. The project evaluated the model using the BLEU score. The first model had a higher BLEU score than the second model, supporting the hypothesis that loosely related datasets decrease the quality of translation. In further research, evaluation on this model on different language pairs and use datasets in other specific fields will be conducted.