Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilization of Electrical Energy Storage With Power-Based Distribution Tariffs in Households

Energy storage enables modification of the customer load profile from the grid perspective without leading to a decrease in comfort level. To meet the future challenges of the energy sector, distribution system operators (DSOs) in Finland have recently discussed power-based distribution tariffs (PBDTs) for small customers. The current distribution tariffs of small customers do not respond well to current challenges, and they require reform. The peak powers of the customers can be decreased with energy storage, and via incentives included in the PBDTs, energy storage can prove to be profitable for household customers. In this paper, we study the profitability of electrical energy storage under different pricing structures. The study simulates changes in customer consumption with a modeled storage system. Simulations consider the requirement of load forecasting in the storage control system. The results of the study show that energy storage can be profitable if the consumption includes only a small number of high peak loads during the pricing period when applying new distribution tariff structures. However, the price level of the tariffs and the tariff mechanisms affect the results.
Enhancing Role Transition for New Graduated Nurses and its Effect on their Work Engagement

Background: Health care organizations need to understand how changes in the health care landscape impact new graduate nurses. Aimof study: Was to enhance role transition for new graduated nurses and its effect on their work engagement. Research design: A Quasi experimental design was utilized to meet the aim of this study. Setting: The study was conducted at Benha University Hospital. Sample: The study sample was composed of 60 of new graduated nurses with one year experience or less. Tools of data collection: Three different tools were used in the present study of data collection. These were namely: (1) Role Transition Knowledge Questionnaire, (2) Self-Administered Questionnaire, (3) Utrecht Work Engagement Scale (UWES). Results: There was a highly statistically significant difference among pre, immediate post program, and follow-up of the knowledge test and skills of new graduated nurses and level of their work engagement. There was positive statistical significant correlation between knowledge and skills score for new graduated nurses and their work engagement during immediately post and follow up (after three months) of the program phases. Conclusion : There was general improvement in new graduated nurses' knowledge and skills about role transition and also their level of work engagement as compared to pre course knowledge and skills. Recommendation: In-service training and education programs must be continuous process for refreshing increasing nurses' knowledge and skills about role transition. Effort made by hospital administration to promote awareness of being a nurse in the clinical unit, this would aid their engagement into their work
Effect of Spraying "Anna" Apple Trees with Moringa and Seaweed Extracts to Alleviation of Heat Stress and Improving of Its Yield.

This study was conducted to evaluate the efficacy foliar application of moringa leaf extract (MLE) and seaweed extract (SWE) as a natural crop growth enhancer to alleviation of heat stress and improving growth and yield of "Anna" apple trees (Malus domestica L.), under normal and heat stress conditions during 2015 and 2016 seasons successively. The study included 3 levels of heat [low (T1), medium (T2) and high (T3)] and in each temperature level 7 treatments were done as follows: control treatment moringa extract at dilution (10,20 and 30 time) and Seaweed extract at (1, 2 and 3ml/ L.). Results revealed that there was significant effect on all studied traits form the two factors except in shoot thickness where the interaction was not significant and in leaf area where the heat and interaction were not significant too. Results indicated positive effects on vegetative growth and yield. In general the best results for all applied treatments were in (T2). MLE10 treatment caused the best results of vegetative growth parameters (except in shoot thickness where SWE3 gave the highest value), fruit drop% and the yield. MLE20 treatment gave the highest values of initial fruit set%, final fruit set%. The study recommended that foliar application of MLE 20 at full bloom and MLE10 at month after full bloom and at two month after full bloom to get the best results.
The Relationship between Psychosocial Burdens among Caregivers of patients with Renal Failure and their demographic attributes in Al-Diwaniyah Government

Background: A patient's deteriorating medical state, the inability of families to finance therapy, medication, blood transfusions, or the hospitalization of patients may also be a genuine reason for this burden. There are several ways chronic renal failure affects the patient's physical, psychological, functional, lifestyle, and independence status because of the disease's long-term persistence and lengthy treatment procedure. Objective : Assess the overall Psychosocial Burden among caregivers for patients with renal failure, and find out the relationship between the overall psychosocial burden of caregiver and their demographic characteristics Methods: A descriptive correlation study design had been applied with the use of a non-probability convenience sample of (210) caregiver to identify the relationship between Psychosocial Burdens among Caregivers of Patients with Renal Failure and their demographic attributes in Al- Diwaniyah Government. The study instruments consist of the demographic information and Zarit Burden Interview (ZBI) scale that used to measure the degree of caregivers burdens during the caring of the patients with renal failure. The data were analyzed using (SPSS) version 20 application of statistical analysis system. The information was evenly distributed. Frequencies, Percentages, Mean and Standard Deviation, Pearson's Correlation Coefficients, T-test (Independent t-test, and) To assess the significance difference between overall Caregivers burden. Results: The results of the study included that (74.8%) of the caregivers of patients with renal failure suffered from moderate to severe burden levels towards caring for their patients. The findings indicate that there is a statistically significant relationship between the psychosocial burden of the caregivers and their sociodemographic characteristics. The findings indicate that caregiver' work, accommodation type, monthly income, and residency have an effect on their psychosocial burden level on the caregivers. Conclusions: Renal failure has negative effect on the caregiver for patient with renal failure. Psychosocial burdens for caregivers are influenced by caregivers’ demographic characteristics of the work of the caregiver, accommodation type, monthly income, and residency. Keywords: Psychosocial Burdens, Renal Failure, caregivers
Towards epitaxial lead iodide films for X-ray digital imaging

Lead iodide purified by repeated evaporation was used for growing films by the physical vapor deposition method. Purity and stoichiometry of the starting material were determined by ICP and wet techniques. Films were grown onto glass substrates 2"/spl times/2" in size with palladium as the rear electrode. Lead iodide films were grown by evaporating the starting material at 460/spl deg/C in high purity Ar atmosphere (600 mmHg) during 1 to 4 days, depending on the film thickness. The substrate temperature was prefixed from 200 to 250/spl deg/C. Film thickness was measured by transmission of 59.5 keV radiation from /sup 241/Am giving values from 35 to 50 /spl mu/m (5%). Optical microscopy was performed to the films for determining crystallinity and grain size. Films were characterized by X-ray diffraction and texture was calculated as [/spl Sigma/I [001]]/[/spl Sigma/I (h k l)]. Correlations between grain size, crystallinity and growth preferred orientation with the c axis perpendicular to the substrate with substrate temperature were confirmed. Epitaxy of the films strongly increases with substrate temperature, and films with texture of about 90% were obtained. Correlation between starting material purity and stoichiometry with epitaxial growth were also found. For measuring electrical and X-ray response properties detectors were assembled by front palladium thermal deposition, palladium wire attachment and acrylic encapsulation. Resistivities of 5/spl times/10/sup 14/ /spl Omega/. cm and current densities of 5 pA/cm/sup 2/ at 30 V were obtained. X-ray film response was checked by irradiating with an X-ray beam, giving a linear response with exposure rate and sensitivities of about 0.35 /spl mu/C/R.cm/sup 2/. Again a correlation between electrical properties with the substrate temperature and epitaxial growth was confirmed. Finally, results were compared with previous ones for the same and alternative materials.
A research on fiber-optic vibration pattern recognition based on time-frequency characteristics

To detect and recognize any type of events over the perimeter security system, this article proposes a fiber-optic vibration pattern recognition method based on the combination of time-domain features and time-frequency domain features. The performance parameters (event recognition, event location, and event classification) are very important and describe the validity of this article. The pattern recognition method is precisely based on the empirical mode decomposition of time-frequency entropy and center-of-gravity frequency. It implements the function of identifying and classifying the event (intrusions or non-intrusion) over the perimeter to secure. To achieve this method, the first-level prejudgment is performed according to the time-domain features of the vibration signal, and the second-level prediction is carried out through time-frequency analysis. The time-frequency distribution of the signal is obtained by empirical mode decomposition and Hilbert transform and then the time-frequency entropy and center-of-gravity frequency are used to form the time-frequency domain features, that is, combined with the time-domain features to form feature vectors. Multiple types of probabilistic neural networks are identified to determine whether there are intrusions and the intrusion types. The experimental results demonstrate that the proposed method is effective and reliable in identifying and classifying the type of event.
Musical Instrument Synthesis and Morphing in Multidimensional Latent Space Using Variational, Convolutional Recurrent Autoencoders

—In this work, we propose a deep learning based method, namely, variational, convolutional recurrent autoen-coders (VCRAE), for musical instrument synthesis. This method utilizes the higher level time-frequency representations extracted by the convolutional and recurrent layers to learn a Gaussian distribution in the training stage, which will be later used to infer unique samples through interpolation of multiple instruments in the usage stage. The reconstruction performance of VCRAE is evaluated by proxy through an instrument classiﬁer, and provides signiﬁcantly better accuracy than two other baseline autoencoder methods. The synthesized samples for the combinations of 15 different instruments are available on the companion website.
Effect of Educational Program on Nurses’ Perception and Family Empowerment regarding Children Undergoing Radiotherapy

Background: Radiotherapy is noninvasive modalities treatment that used to treat cancer in children. Nurses’ perception is a golden role during care of children undergoing radiotherapy. Aim of ths study: This study aimed to evaluate the effect of educational program on nurses’ perception and family empowerment regarding children undergoing radiotherapy. Research design: A quasi-experimental design was utilized to conduct this study. Setting: The study was conducted at the Radiology department at Sednawy Hospital affiliated to Zagazig University Hospital. Subject: 1A convenient sample of 45 nurses working at previous setting and purposive sample of 30 families who accompanied the children. Tools: Two tools were used to collect data: (I) Nurses' Perception Structured Questionnaire included two parts: characteristics of the studied nurses& nurses’ perception. (II) Family empowerment scale included four parts: characteristics of the studied families, characteristics of the studied children, medical history of the studied children and family empowerment scale. Results: There were a highly statistically significant differences in nurses’ total perception level, a highly statistically significant differences in total family empowerment scale, a highly statistically significant relation between total nurses, perception level and their characteristics, a highly statistically significant relation relation between studied parents and total family empowerment scale level and a highly statistical positive significant correlation between total nurses’ perception level and total family empowerment scale level. Conclusion: The educational program had a significant positive effect in improving nurses’ perception and family empowerment regarding children undergoing radiotherapy. Recommendations: Dissimination of simplified and comprehensive Arabic guided pictures booklet about radiotherapy and family empowerment must be available in all pediatric radiology and oncology departments and distributed for each newly admitted child diagnosed with cancer and undergoing radiotherapy.
Design of an UWB antenna with two slits for 5G/WLAN‐notched bands

In this article, we propose a dual notched‐band antenna with 2 slits for ultra‐wideband (UWB) applications. The antenna consists of a circular ground plane and a patch radiator with having 2 slits and a folding arm. The patch with folding arm is used to achieve UWB band while a V‐shaped and a split ring‐shaped slit are used to eliminate the interference from WLAN and 5G band, respectively. The width and length of the slits are optimized to obtain the necessary band notch characteristics. The prototype of the antenna having a total size of 75 × 10 mm2 is fabricated. Simulated and measured results show that the antenna covers the entire UWB frequency ranging from 2.754 to 14.656 GHz (127%) for VSWR < 2 except at notched bands. Moreover, the antenna successfully notched the WLAN band (5.15‐5.825 GHz) and 5G band (3.4‐3.7 GHz) besides of providing a stable gain and radiation patterns.
Relationship of Soil Microbiota to Seed Kernel Metabolism in Camellia oleifera Under Mulched

An experiment was conducted from 2016 to 2017 to assess the effect of kernel metabolism in development stages after organic mulching compared to control. Organic mulching significantly increased crop yields (higher 128% in 2016, higher 60% in 2017), oil content (the highest oil content was 27.6% higher than that of the control), and improved soil properties (SOC, SAN, AP, and AK). In this study, soil pH, SOC, AN, AP, and AK in 0–30 cm soil depth were measured. Results showed that the effect of mulching on soil pH was not significant at the harvesting stage. The greatest metabolic differences occurred during the period of high oil conversion (S2–S4), primarily involving 11 relevant metabolic pathways. This further verified that Camellia oleifera oil yield was improved after mulching. A total of 1,106 OTUs were detected by using 16S rRNA, and Venn diagram showed that there were 106 unique OTUs in control and 103 OTUs in the treatment, respectively. Correlation analysis showed that soil pH and soil temperature were two indicators with the most correlations with soil microbiota. The yield was significantly positively correlated with soil microbial Proteobacteria, Bacteroidetes, and soil nutrition indexes. Organic mulching improved the physicochemical properties of soils, caused differences in the relative abundance of dominant bacteria in soil bacteria, and improved the soil microbiological environment to promote plant growth, indicating that organic mulching is an effective measure to alleviate seasonal drought.
Teaching presence in students’ WhatsApp groups: Affordances for language learning

With the recent COVID-19 pandemic and disruption of campus-based education, the use of mobile social networking applications to supplement formal education has attracted a great deal of attention. Teachers do have opportunities to join students’ online groups to share, clarify, and exchange housekeeping information and course-related content with them. Teachers can, in particular, provide English as a foreign language (EFL) students with more sources of linguistic input, interaction, and feedback. Research investigating this potential, however, is still scarce in such contexts. The current study explores the likely affordances of teaching presence in students’ WhatsApp groups for designing, facilitating, and guiding cognitive and social processes conducive to their language learning. A mixed-method design was employed to collect both quantitative and qualitative data and information from English-major undergraduates (N = 111) and faculty teachers (N = 8) who joined the same WhatsApp groups for one academic semester at a major university in Oman. Descriptive and thematic analyses of data from a survey with both closed-ended and open-ended questions and semi-structured interviews indicate that the shared WhatsApp groups functioned as small close-knit communities where students were able to constantly access teachers for their assistance, feedback, and clarification of content. Despite these merits, however, the participating faculty believed that the presence of teachers in WhatsApp groups might have consequences for students’ tolerance of ambiguity, scaffolding, and autonomous language learning. The paper concludes by discussing several pedagogical implications and directions for future research.
Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning

The insulator is an important catenary component that maintains the insulation between the catenary and earth. Due to the long-term impact of railway vehicles and the environment, defects in the insulator are inevitable. Recently, automatic catenary inspection using computer vision and pattern recognition has been introduced to improve the safety of railway operation. However, achieving full automation of insulator defect detection is still very challenging due to the visual complexity of defects and the small number of defective insulators. To overcome these problems, this paper proposes a novel insulator surface defect detection system using a deep convolutional neural network (CNN). The proposed system consists of two stages. First, a Faster R-CNN network is adopted to localize the key catenary components, and the image areas that contain the insulators are obtained. Then, the classification score and anomaly score are determined from a deep multitask neural network that is composed of a deep material classifier and a deep denoising autoencoder. The defect state is determined by analyzing the classification score and anomaly score. Experiments of the catenary insulator defect detection along the Hefei–Fuzhou high-speed railway line indicate that the system can achieve high detection accuracy.
FEED CONVERSION RATE, GROWTH PERFORMANCE AND BIOLOGICAL EFFECTS OF AZOLLA ON POULTRY AND LIVESTOCK: A SYSTEMATIC REVIEW

The rapid rise in soybean prices has necessitated a potential replacement protein source for animal feed. Azolla is a Salviniaceae duckweed with valuable properties that have captivated the public. Its abundance reduces feed costs, which account for the majority of overall production costs. The research on Azolla is extensive, but the efficiency as a potential feed for livestock and poultry is limited. Thus, there is an urgent need to study the efficacy of Azolla as feed materials. A systematic literature review was conducted to collect and analyze information on Azolla as feed materials. Following the Report Standards for Systematic Evidence Synthesis (ROSES) protocol, 13 studies (years 2000-2021) were extracted and reviewed from Scopus, Web of Science, and PubMed. Three aspects were primarily highlighted to review the efficacy of using Azolla as feed: (1) feed conversion rate, (2) growth performance, and (3) biological effects on poultry and livestock. This study revealed that the efficacy and proportion of Azolla in feed vary by animal type. The findings offer greater information on current research directions on this subject.
On the effectiveness and limitations of captioning in L2 listening

Listening is often perceived to be the most challenging skill by second/foreign language (L2) learners. Due to its real-time nature, L2 listeners experience several comprehension problems related to the processing of aural input. To scaffold L2 listening, captioning is commonly used since the dual coding of aural and written stimuli is expected to make L2 input more comprehensible leading to more in-depth processing. However, a survey of the extant literature precludes us from drawing firm conclusions about the effectiveness of captioning since in some circumstances captions were found to have no significant effect on listening comprehension. So, the question of whether captions function as a comprehension aid in L2 listening remains inconclusive. Hence, adopting a narrative literature review methodology, the present study aims to contribute to this inconsistent research area by clarifying some of these issues answering the following questions: (1) Is captioning really effective in L2 listening? , (2) Does captioning always work for L2 listening? , and (3) Why is research on captioning in L2 listening still inconclusive? Based on the insights gained, it is concluded that the mere presence of captions does not necessarily lead to improved comprehension. Captioning effectiveness is influenced by learner, material, measurement, task, and L1/L2 characteristics. Implications arising are discussed.
Effect of soil and foliar application of iron on productivity and nutrient uptake by parching sorghum

An experiment on the comparative performance of foliar vs. soil application of FeSO 4 was conducted in the research field of Sorghum Research Unit, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola during the Kharif season of 2020-21. The experiment was laid in Factorial Randomized Block Design (FRBD) with twelve treatments in three replications. The treatments included a) soil application of FeSO 4 , and b) foliar application of FeSO 4 . The variety of parching sorghum was PKV-Kartiki. The recommended doses of macronutrient fertilizer i.e. 80:40:40 N, P 2 O 5, and K 2 O kg ha -1 were applied to all treatments. The results indicated that the green grain (hurda) yield, green fodder yield, oven-dry parching grain yield, leaf-stem yield, root yield, and panicle straw yield were recorded significantly highest with soil application of 30 kg FeSO 4 ha -1 and with the foliar application of 1.0% FeSO 4 at the flowering stage which was found to be at par with treatment of soil application of 20 kg FeSO 4 ha -1 and with the foliar application of 0.5% FeSO 4 at flowering stage respectively. The uptake of nitrogen, phosphorus, potassium, iron, copper, manganese and zinc by leaf-stem, root, parching grain, and panicle straw was also recorded highest with the soil application of 30 kg FeSO 4 ha -1 and with the foliar application of 1.0% FeSO 4 at flowering stage.