Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy Management Strategy of Smart Residential Community Considering Aggregated Air-conditioning Loads

A smart residential community energy management strategy considering aggregated air-conditioning loads is proposed in this paper, aiming at the problem of comprehensive scheduling of multiple demand-side resources of smart residential community. Firstly, an approximate aggregation model of air conditioning load grouping is developed. On this basis, the aggregation response potential of air conditioning loads under temperature control mode is evaluated. Then, a smart energy management model for residential community considering the uncertainty of air conditioning response is established. The optimal operation of the air conditioning load and energy storage device is optimized to achieve the lowest cost of residential electricity consumption. Finally, the simulation analysis shows that the energy management strategy proposed in this paper can significantly reduce the cost of electricity and improve the load characteristics.
The Use of Data Envelopment Analysis in Measuring the Performance Efficiency - Evidence from Bahrain

This study uses two models of the data envelopment analysis (DEA) to measure the performance efficiency of a sample of listed Bahraini banking and investment firms. The first model (CCR Model) which introduced by Charnes, Cooper and Rhodes (1978) was used to measure the overall technical efficiency; while to measure pure technical efficiency and scale efficiency as two components of the overall technical efficiency, the second model (BCC Model) introduced by Banker, Charnes and Cooper's model - BCC (1984) was applied. Although the use of two different models to measure performance efficiency led to different results, each model has its own characteristics and uses. Therefore, the decision maker must determine his/her needs before selecting a model to be used in the measurement of corporate performance efficiency. The main finding indicates that different models provided different results over the 2013–17 period.
A strategy for suppressing the second harmonic of output power for photovoltaic grid-connected inverters with low voltage ride-through

When an unbalanced voltage drop occurs in the grid system , output power of distributed photovoltaic grid-connected system will generate second harmonics. In order to suppress the second harmonic, a new low voltage ride-through control strategy is proposed, which can adjust the harmonic suppression target according to the degree of voltage drop. This strategy can suppress the second harmonic of active power when the voltage drop is low, and suppress the second harmonic of reactive power when the voltage drop is large. The control strategy is simulated in MATLAB, and the results testified its effectiveness.
Design and Evaluation of an All-Digital Programmable Delay Line in 130-nm CMOS

Programmable delay lines are often used to provide precise transition timing control in very-large-scale integration (VLSI) systems. In this work, a digitally controlled delay line that achieves a resolution step of 340 ps and a maximum delay of 50 ns is proposed. The delay element has a linear delay characteristic and calibration capabilities in a range of 20% using a mixed model of current starving and load switching strategy. Experimental results of the circuit implementation in a 130-nm CMOS process are presented.
Clinicopathological analysis of oral squamous cell carcinoma in Iraq During period (2001-2013)

Background: Oral cancer is a highly lethal and disfiguring disease. Squamous cell carcinoma of the oral cavity constitutes about 90% of all oral malignancies. The aims of the study was to achieve an epidemiological description of the oral squamous cell carcinoma in Iraq in general and in Iraqi governorates except Kurdistan region retrospectively during period 2001-2013 Materials and Methods: Data were collected from department of oral and maxillofacial pathology, college of dentistry, university of Baghdad, Nuclear medicine and radiotherapy hospital, Iraqi cancer registry center, Main hospitals in Baghdad and Iraqi governorates, Private labs. for histopathological examinations. The descriptive and inferential statistical methods were used (frequency distributions, percentages, incidence rate, standardized ratio and relative risk) Results: In Iraq from 2001-2013, there were 1664 cases with overall M:F ratio (1.4 : 1). The most affected age group was (50-69 yrs), tongue was the most common affected site, grade II was the most common, and the highest number of OSCC was reported in Baghdad governorate. A negative time trend was observed in the overall (crude) incidence rate of all registered OSCC in Iraq. Conclusion: The incidence rate (crude rate) of OSCC decreased in Iraq from 2001 to 2013, and the standardized ratio showed that there is a decrease in tumor risk with advancing time.
Use of Hypertonic-Hyperoncotic Fluids for Resuscitation of Trauma Patients

Hypertonic sodium chloride solutions in concentrations ranging from 1.5% to 24% have been studied for use in the resuscitation of burn and hemorrhagic shock victims for many years. In animal studies, in the setting of small volume resuscitation, hypertonic sodium chloride is superior to standard isotonic crystalloid resuscitation for restoration of hemodynamic stability. The combination of hypertonic sodium chloride with a hyperoncotic colloid solution sustains hemodynamic improvements for an additional hour. Hypertonic-hyperoncotic solutions restore vascular volume primarily by drawing water out of the cell and then selectively partitioning some of the newly recruited fluid within the plasma space. The hyperosmolar state also augments microcirculatory flow, reduces cerebral edema formation, and perhaps increases myocardial contractility. The ability to increase cardiac output with small volume hypertonic-hyperoncotic resuscitation may solve some of the problems related to fluid resuscitation in the prehospital setting when transport times are prolonged or mass casualties need to be treated. Decreasing the volume of fluid required during resuscitation may also prove beneficial in the setting of craniocerebral trauma where the administration of large volumes of crystalloid can increase intracranial pressure. The largest clinical experiences have been reported with the administration of 4 mL/kg of 7.5% sodium chloride combined with 6% dextran 70. These studies have shown that this solution is safe to administer and effective for reversal of hypotension. Whether or not the ability to reverse hypotension will translate into improved survival remains undetermined at present and will require larger multi-institutional trials.
Effect of Different Activation Function on Short Term Load Forecasting Using Neural Network- A Comparative Study

Now a day’s variation and complexity in the electrical load is increasing day by day due to a sudden change in the weather condition, temperature, humidity, rainfall, etc. Forecasting of electric load become important for maintaining a proper balance between supply and demand in order to meet the needs of the customer. Short Term Load Forecasting (STLF) is the technique used to predict the future electrical load by proper evaluation of historical load data. Artificial Neural Network (ANN) using Backpropagation learning algorithm with gradient descent optimization technique have been employed in the present work. Past load data is taken as input to the network and output is selected as a load forecast for a given hour. The network consists of seven inputs, one hidden layer and output. Different Activation function have been used for both hidden as well as output layer for better forecasting result. Parameters that have been used for comparison is Mean Absolute Percentage Error (MAPE), Minimum error, Maximum error, Average error and standard deviation. After simulation it is concluded that the sigmoid activation function for hidden layer as well as for output layer is found best for the network with Average error of 9.4%, MAPE OF 2.08, the minimum error of 0.4051 %, maximum error of 18.93% and standard deviation of 0.0795.
Fractional Nonlinear Synergetic Control for Three Phase Inverter Tied to PV System

This paper proposes a current control strategy for three phase voltage source inverter grid connected Photovoltaic (PV) system. The main objective of the proposed controller is to inject the sinusoidal currents to the grid with lower total harmonic distortion THD percentage even with the environmental changes which affect the PV array output power. The validation of the proposed controller has been done using the Matlab/Simulink environment, also a comparison with integer nonlinear synergetic control (NSC), sliding mode control (SMC) and proportional (PI) control is done to show the outperformance of the proposed controller by presenting lower THD compared to the other controllers.
Sparse Representation Based Approach for Acoustic Emission Signal Identification in Glass-Epoxy Composites

In this work, a new approach for the damage mechanism identification in glass fiber reinforced polymer composites (GFPP) was introduced. This approach is based on the sparse representation (SR) technique applied on recorded acoustic emission (AE) signals. The SR offers a novel representation of signal, it consists to approximate the signal by selecting a small number of elements in over complete dictionary. This technique used a redundant dictionary associated to various damage mechanisms, which could appear in composites. A typical signals corresponding to specific damage modes was used for the learning process. Therefore, the redundant dictionary was established and optimised by using the Morlet wavelet functions. The proposed classification procedure was examined on the signals of learning as well as on the test signals. This study has revealed the interest provided by the SR of signal to follow the damage mechanisms in composites.
Optimal Capacity Allocation of Renewable Energy Generation Base for Small Signal Stability Improvement

The large-scale integration of renewable energy resources such as wind and solar is challenging the operation of AC power girds due to the dynamic characteristics of power electronic devices (PEDs). Especially when AC grids are weak, improper capacity planning in a renewable energy generation base, which is by nature a multi-infeed power electronic system (MIPES), may lead to potential dynamic stability issues such as small signal instability. Therefore, the allocation of the total grid-connected renewable generation capacity among feeding points in a MIPES plays a significant role in managing the risk of instability issues. In this paper, a method is proposed to optimally allocate the given total grid-connected renewable capacity at each feeding point in a MIPES in order to maximize the small signal stability margin. The proposed method is finally validated via both eigenvalue analysis and time-domain simulations.
Priority Rules on the Charging of Electric Vehicles with Energy Storage

We study the joint scheduling of deferrable (electric vehicle charging) demands and energy storage devices in the presence of random renewable generation, electric vehicle arrivals, and electricity prices. We formulate the cost-minimizing scheduling problem as a dynamic program. We establish an index based priority rule for an optimal scheduling policy: it is optimal to serve a demand with less laxity first, and for two demands with the same laxity, the demand with a later deadline should have the priority. Numerical results show that the characterized priority rule significantly outperforms the earliest deadline first (EDF) policy.
A Circularly-Polarized Beam-shaped Antenna

In this paper, a circularly-polarized beam-shaped antenna has been proposed. The phase delayed power devider is used as the feeding network of the antenna. By the method of simulation, the design indicates the antenna obtains low reflection coefficient, and generates beam which swicthes off about 15 degrees. The gain of the antenna is about 10dB and the antenna covers 35° in the H-plane, 120° in the E-plane with the gain greater than 5dB beam width. The antenna has been used as a dual-antennas communication system to achieve omnidirectional beam. It can be widely applied to communication and measurement systems.
Fault Detection of High Voltage Circuit Breaker Based on Moving Window Variational Mode Decomposition and Fuzzy Entropy

Vibration analysis has been recently proven to be a powerful and reliable treatment for noninvasive mechanical fault diagnosis of high-voltage circuit breakers. The computation intensity makes conventional methods based on the traditional variational mode decomposition (VMD) invalid for the case of real-time scenario. This paper presents a moving window strategy for real-time VMD implementation, which is suitable for decomposition of long signals with high sampling frequency. The similarity of the reconstructed signal in the segments can be calculated by fuzzy entropy through the soft and continuous boundaries of fuzzy functions, which earns stronger relative consistency and less dependence on data length. A case study of three different faults simulated on a real vacuum breaker yields that the results are more efficient than the other traditional methods for the different size of moving window.
Tomato seeds pretreated with Antifreeze protein type I (AFP I) promotes the germination under cold stress by regulating the genes involved in germination process

ABSTRACT This study was conducted to investigate the involvement of antifreeze proteins (AFPs; type I and III) in the germination mechanism of tomato seeds under low temperature stress. Germination of the seeds grown at a room temperature (25°C) was observed on 5 days after sowing (DAS), while all seeds exposed to a low temperature started to germinate at 16 days after sowing (DAS). However, in comparison with control seeds (0 µg/l), seeds treated with AFP I (100, 300, or 500 µg/l) germinated earlier and at a higher percentage until 20 DAS, and seeds treated with 100 µg/l AFP I showed the highest percentage of germination. Surprisingly, AFP III did not significantly increase germination, and the rate was lower among 500 µg/l AFP III-treated seeds compared with control seeds (0 µg/l). The transcription levels of the plasma membrane-associated H+-ATPase gene and antioxidant-related superoxide dismutase (SOD) and catalase 1 (CAT1) genes were analyzed, and the transcription levels of the genes in the seeds grown at 25°C were relatively low. For low temperature-treated seeds, H+-ATPase in control seeds (0 µg/l) was higher compared with that in AFP I-treated seeds and was lower compared with that in AFP III-treated seeds. The expression levels of the antioxidant-related genes (SOD and CAT1) were lower in AFP I-treated seeds than in control seeds (0 µg/l); however, they were higher in AFP III-treated seeds than in control seeds (0 µg/l). Overall, compared with AFP III, AFP I may potentially function as a cold-protective agent by modulating the genes associated with seed germination.
ECG Classification Algorithm Based on STDP and R-STDP Neural Networks for Real-Time Monitoring on Ultra Low-Power Personal Wearable Devices

This paper presents a novel ECG classification algorithm for inclusion as part of real-time cardiac monitoring systems in ultra low-power wearable devices. The proposed solution is based on spiking neural networks which are the third generation of neural networks. In specific, we employ spike-timing dependent plasticity (STDP), and reward-modulated STDP (R-STDP), in which the model weights are trained according to the timings of spike signals, and reward or punishment signals. Experiments show that the proposed solution is suitable for real-time operation, achieves comparable accuracy with respect to previous methods, and more importantly, its energy consumption in real-time classification of ECG signals is significantly smaller. In specific, energy consumption is 1.78 $\boldsymbol {\mu }$J per beat, which is 2 to 9 orders of magnitude smaller than previous neural network based ECG classification methods.
Nanotechnology and chemical engineering as a tool to bioprocess microalgae for its applications in therapeutics and bioresource management

Abstract Microalgae are a dynamic biological resource with various biotechnological applications. During recent times, the scope of this application has expanded to include: nutritional health foods, pharmaceuticals, agricultural and industrial products, environmental remediation and bioenergy production. At the same time, the methods and technologies to bioprocess microalgae for the intended applications have also evolved. However, there are still significant developments needed to reach the full potential of microalgae. The presented review discusses current methodologies to improve the effectiveness of algal feedstocks by bioprocessing them innovatively with cost-effective and environmentally sustainable techniques for their applications in therapeutics and bioresource management. The first section discusses the diversity of microalgae and its applications. In following sections, bioprocessing microalgae for their applications in therapeutics focusing on the efficacy of algae-mediated metallic nanoparticles against microbial infections and cancer is discussed. In addition, a discussion on bioresource management to produce value-added products for bioenergy and bioresource conservation elaborated the potential of microalgae as a biological reservoir to resolve the energy crisis for the modern world.
Alterations in neck muscle performance and proprioception with fatique, altered posture and recurrent neck pain

Altered neuromuscular processing and motor output as both a risk and perpetuating factor for chronic neck pain is a relative new area of study. The cervical flexion relaxation response (FRR) is a reproducible and reliable marker of differences in neuromuscular function between neck pain patients and controls. Change in joint position sense (JPS) of upper limb joints has also been linked to chronic neck pain. Studies in this thesis sought to develop an experimental model in humans to investigate whether the FRR and JPS can be altered by fatigue and/or postural stress. Additionally a pilot study on the effect of three months of chiropractic treatment on the FRR was conducted. The studies revealed that muscular fatigue is a modulator of the FRR and may play a large role in spine stabilization. Minor postural alterations in the neck can impact joint position error at the elbow and 12 weeks of chiropractic care is a useful therapy to improve chronic and recurrent neck pain as well as improving the cervical FRR.
A monitorable and renewable pollution filter based on graphene nanoplatelets

This paper deals with the fabrication, modeling and experimental characterization of a monitorable and renewable graphene-based pollution filter. The main goal is to demonstrate a method to monitor the status of such a filter in real time during its operating phases: pollutant adsorption, saturation, and regeneration. The filter is realized by a disk of pressed graphene nanoplatelets. This is a low-cost type of graphene which has recently drawn great interest due to its potential use in large scale industrial production. Here the nanomaterial is obtained through the exfoliation method assisted by microwave irradiation, by exploiting the thermal expansion of commercial intercalated graphite, according to a low-cost and ecologically friendly procedure. The filter is used here to adsorb acetonitrile, a toxic water-soluble organic compound that is present in some industrial solvents and paints. The monitoring method is based on the interpretation of the time variation of the electrical impedance measured during filter operation. There are two main results of the paper: Firstly, the graphene filter is shown to be effective in adsorbing the above pollutant, with the additional feature of being fully renewable: all the pollutant can be removed from the filter without the need of costly physical or chemical processes. Secondly, monitoring of the time-evolution of the electrical impedance allows efficient detection of the different phases of the filter life cycle: clean, polluted, saturated and regenerated. This feature is of potential interest since it enables the predictive maintenance of such filters.
Padres con sobrepeso y obesidad y el riesgo de que sus hijos desarrollen obesidad y aumento en los valores de la presión arterial

Background. If parents and children share genetic and socioecological factors, it is expected that their nutritional status also shares a close relationship. The objective of this study was to identify and evaluate the association between nutritional status and blood pressure of parents and their children. Methods. Weight, height, waist circumference and blood pressure were measured in parents and school-age children. We calculated the risk of obesity in children according to the nutritional status of the parents. Blood pressure was evaluated by linear regression using the parent’s blood pressure as an independent variable. Results. Included in the study were 205 obese children and 209 eutrophic children. The frequency of obesity in parents of obese children was 39% for mothers and 45.1% for fathers. In parents of eutrophic children, the frequency was 15.7% and 17.1%, respectively, for mothers and fathers. Children whose parents had higher blood pressure values had higher levels of blood pressure than children whose parents had lower values of blood pressure. Children of overweight mothers showed a risk of 4.5 (p <0.001) to present with obesity, whereas in children of obese mothers the risk increased to 6.5 (p <0.001). Conclusions. A strong association was demonstrated between nutritional status of parents with the presence of obesity and high blood pressure in their children.
“I want it all, I want it all, I want it all, and I want it now!” Is higher impulsivity associated with higher satisfaction with life?

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