Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Deep Learning Neural Network for Block Partitioning in H.265/HEVC

dividing video frames into Coding Tree Units (CTUs) and Coding Units (CUs) is a critical task of video compression in H.265/HEVC video coding standard. In this paper, we utilize deep learning techniques, especially the deep Convolutional Neural Network (CNN) to speed up the block partitioning process. Deep CNNs have achieved break-through improvements on image recognition tasks such as image classifications, object identifications, and image annotations. However, very few work has been done in applying deep CNN to video encoding. Block partitioning in video coding is highly dependent on the content of the video frames, and thus it is natural to take advantage of the significant capabilities of deep CNN on image content detection and recognition to perform block partitioning and avoid the time-consuming iterative RateDistortion-Optimization (RDO) process. Experimental results have shown that the proposed methodology has largely speed up the coding process and has also achieved coding efficiency comparable to the reference software of H.265/HEVC.
Optical Properties of Interstellar Dust from Cosmic Dust Analogs Studied in the Lab

In the past years, cosmic dust research has taken great advantage from the laboratory efforts to investigate the properties of analog materials such as amorphous magnesium/iron silicates and various forms of carbon. Optical properties are particularly important as they provide the link to observations and need to be incorporated into models in the form of dust opacities. Laboratory investigation of dust opacities has to cover a wide wavelength range from the UV to the millimeter wavelength range and to study the temperature dependence of the electromagnetic excitation processes governing the optical response. For understanding the underlying physics, a detailed knowledge of the microscopic structure is required, which in turn may allow predictions for dust in cosmic environments, being subject to continuous structural modifications. Given the complexity of amorphous structures, our understanding of the optical properties of interstellar dust is still incomplete. In particular, the opacity outside the strong fundamental excitations of the electron and phonon system are not yet very well constrained, but even some of the strong bands such as the π-π⋆ transition band of carbonaceous dust and its relation to the interstellar 217.5 nm extinction feature still require closer investigation. In this respect, it is crucial to develop further the structural analysis of such amorphous structures, and to find the relation to optical properties. This review intends to summarize the current state of these efforts.
Impact of Transformational Leadership on Job Satisfaction and Patient Safety Outcomes in Health Sector of Pakistan

Background: To improve the patient safety among health care sector and organizations need effective and efficient leadership at all stages. Purpose: The aim of this research was to examine the impact of nurse’s manager transformational leadership performance on job contentment and also towards patient safety outcomes. Methods: Random sampling of critical care nurses (N=358) was carried out through cross sectional survey in Lahore, Rawalpindi and Islamabad hospitals of Pakistan. By using structural equation model technique hypothesized model was verified. Discussion: Data acceptability fit in the hypothesized model. Results highlighted that transformational leadership had solid positive impact on workstation empowerment, which resultantly enhances nurse’s job satisfaction and reduces adverse patient outcomes frequency. Consequently, job satisfaction was interrelated towards lower adverse measures. Conclusion: Findings of this research provides support for manager’s to adopt transformational leadership conduct as a beneficial strategy to create office environments which encourage better safety results for patients as well as nurses.
APPLE CIDER VINEGAR & FERMENTED ACIDIC GRAPE & APPLE EXTRACTS HEALTH BENEFITS LITERATURE

A variety of natural vinegar products are found in civilizations around the world. A review of research on these fermented products indicates numerous reports of health benefits derived by consumption of vinegar components. Therapeutic effects of vinegar arising from consuming the inherent bioactive components including acetic acid, gallic acid, catechin, ephicatechin, chlorogenic acid, caffeic acid, p-coumaric acid, and ferulic acid cause antioxidative, antidiabetic, antimicrobial, antitumor, antiobesity, antihypertensive, and cholesterol-lowering responses. The aims of this article are to discuss vinegar history, production, varieties, acetic acid bacteria, and functional properties of vinegars.
On the methodology of feeding ecology in fish

Abstract Feeding ecology explains predator’s preference to some preys over others in their habitat and their competitions thereof. The subject, as a functional and applied biology, is highly neglected, and in case of fish, a uniform and consistent methodology is absent. The currently practiced methods are largely centred on mathematical indices and highly erroneous because of non-uniform outcomes. Therefore, it requires a relook into the subject to elucidate functional contributions and to make it more comparable and comprehensive science. In this article, approachable methodological strategies have been forwarded in three hierarchical steps, namely, food occurrence, feeding biology and interpretative ecology. All these steps involve wide ranges of techniques, within the scope of ecology but not limited to, and traverse from narrative to functional evolutionary ecology. The first step is an assumption-observation practice to assess food of fish, followed by feeding biology that links morphological, histological, cytological, bacteriological or enzymological correlations to preferred food in the environment. Interpretative ecology is the higher level of analysis in which the outcomes are tested and discussed against evolutionary theories. A description of possible pedagogics on the methods of feeding ecological studies has also been forwarded.
Examining The Role Of Market Price In Appraisal : Part 1

Several recent appraisal decisions in Delaware’s Supreme Court and Chancery Court have reignited an important legal and policy debate about the fair value statute. In contrast to court decisions between 2012 and early 2017 that determined fair value primarily by discounted cash flow, or DCF, estimates, the Delaware Supreme Court’s decisions in DFC and Dell appeals in the second half of 2017 gave greater deference to deal prices and market evidence. Vice Chancellor J. Travis Laster’s February 2018 decision in Verition Partners v. Aruba Networks further ruled that the most reliable estimate of the fair value of Aruba’s stock was the company’s 30day average pre-announcement stock price. [1]
Secrecy Performance of Mobile Image Transmission Networks

Due to the user mobility, the physical layer security of mobile image transmission networks is an important challenging task.In this paper, based on the classic Wyner wiretap model, the secrecy performance of mobile image transmission networks is investigated. We derive exact closed-form expressions for the average secrecy capacity (ASC). By Monte-Carlo simulations, we verify the accuracy of the derived theoretical results.
Assessment of Heavy Metals (Cadmium and Lead) in Vacuum Packaged Smoked Fish Species (Mackerel, Salmo salar and Oncorhynhus mykiss) Marketed in Ankara (Turkey).

Ankara’daki marketlerde vakum paketli dumanlanmis balik turlerinde (Mackerel, Salmo salar ve Oncorhynhus mykiss) agir metallerin (kadmiyum ve kursun) belirlenmesi. Ankara’daki marketlerde, ticari olarak satilan dumanlanmis ve vakum paketlenmis balik turlerindeki kadmiyum (Cd) ve kursun (Pb) konsantrasyonlari degerlendirilmistir. 2004-2005 yillari arasinda Ankara’daki hipermarketlerden toplam 73 adet dumanlanip paketlenmis balik fileto ornegi temin edilmistir. Iz element konsantrasyonu GFAAS yontemi ile olculmustur. Cd icin sinir deger kuru maddede 0.003-0.034 mg kg -1 olarak bulunurken, Pb icin bu deger 0.001-0.791 mg kg-1 olarak bulunmustur. Analiz edilen tum balik orneklerinde kadmiyum konsantrasyonu, Turkiye ve Avrupa Birligi Mevzuati tarafindan 0.05 mg kg-1 olarak belirlenen limitlerin altindayken, 27 balik ornegindeki Pb seviyesi Turkiye’deki kabul edilebilir limitleri asmistir (0.2 mg kg-1). Buna ragmen, yuksek seviyelerde olculen agir metal konsantrasyonlarinda bile, haftada 400 g balik tuketen 60 kg agirliginda bir yetiskinin tahmini haftalik Pb ve Cd alim miktari, Joint FAO/WHO Expert Committee tarafindan tavsiye edilen gecici tolere edilebilir haftalik alim miktarinin (Cd icin 7 µg-kg-1 ve Pb icin 25 µg kg-1) altinda oldugu saptanmistir
Customer engagement for evaluating customer relationships in hotel industry

Abstract Customer engagement can be used as a proxy in customer behaviour research for evaluating customer relationships towards a company and/or brand. Companies are increasingly recognizing the value of establishing close customer relationships. The objective of the research was to explore the associations among customer engagement dimensions and loyalty for evaluating customer relationships in hotel industry. Furthermore, the study evaluated the level and influence of new customers and repeat customer segments. The questionnaires were completed by 240 customers from five star hotels (30% customers) and four star hotels (70% customers) in Jammu and Kashmir, India. Descriptive, exploratory factor analysis, confirmatory factor analysis and regression analysis were used to test the constructs. The results suggested that customer engagement (CE) makes a substantial contribution to the prediction of loyalty in building customer relationships. The findings proposed that hoteliers can actively incorporate strategies to enhance CE, which eventually develops a sustainable loyal customer relationship. The results could be effective to hoteliers in engaging customers while marketing, branding, differentiating and segmenting its products and services in building loyal customer relationships. Moreover, segmenting the customers offers a deeper and more inclusive knowledge of nature of customer relationships and how engagement can be fostered and developed among diverse customer segments.
Characterization of wastewater from hog slaughterhouses in Eastern Canada and evaluation of their in-plant wastewater treatment systems

Masse, DJ. and Masse, L. 2000. Characterization of wastewater from hog slaughterhouses in Eastern Canada and evaluation of their in-plant wastewater treatment systems. Can. Agric. Eng. 42: 139-146. Literature on existing systems for slaughterhouse wastewater treatment was reviewed and discussed in terms of technology usefulness and relevance under Canadian conditions. The wastewater from six hog slaughterhouses in Quebec and Ontario was also characterised before and after treatment at the plant. In raw wastewater, total chemical oxygen demand (TCOD) ranged from 2333 to 8627 mgIL and suspended solids (SS) varied between 736 and 2099 mg/L. Slaughterhouse wastewater composition in terms of organic strength, inorganic elements, alkalinity, and pH is adequate for biological treatment. Two slaughterhouses only settled their wastewater before discharging it to the municipal sewer. Three plants used primary treatment to precipitate blood and remove floating fat, while one further treated its wastewater using an aerobic trickling filter. Although preliminary treatment at the slaughterhouse reduced the level of pollutants, TCOD and SS concentrations were still too high for sewer discharge without being imposed a municipal surcharge. In addition, all treatments produced large amounts of putrefactive and bulky sludge, which required special handling and/or further treatment.
Analysis of Faculty Teaching using Multi-criteria Decision Making Approach

In order to maintain a good standardof any college, the institution should follow paper based approach or web-based approach to gather student feedback on faculty teaching to maintain the qualities of the faculty. Students have very much concerned about their teachers who have played a vital role in their life in both outside or inside of the institutions which helps them to justify a teacher and it comes in form of their feedback. In this paper, we introduce a ranking method of the given feedback's factors of teacher's performances with the help of multi-criteria decision making approach using neutrosophic logic. We use the score and accuracy functions and the hybrid score-accuracy functions of single valued neutrosophic numbers (SVNNs) and ranking method for SVNNs.
Global sea-level budget 1993–present WCRP Global Sea Level Budget Group

Global mean sea level is an integral of changes occurring in the climate system in response to unforced climate variability as well as natural and anthropogenic forcing factors. Its temporal evolution allows changes (e.g., acceleration) to be detected in one or more components. Study of the sea-level budget provides constraints on missing or poorly known contributions, such as the unsurveyed deep ocean or the still uncertain land water component. In the context of the World Climate Research Programme Grand Challenge entitled “Regional Sea Level and Coastal Impacts”, an international effort involving the sea-level community worldwide has been recently initiated with the objective of assessing the various datasets used to estimate components of the sea-level budget during the altimetry era (1993 to present). These datasets are based on the combination of a broad range of space-based and in situ observations, model estimates, and algorithms. Evaluating their quality, quantifying uncertainties and identifying sources of discrepancies between component estimates is extremely useful for various applications in climate research. This effort involves several tens of scientists from about 50 research teams/institutions worldwide (www.wcrp-climate.org/grand-challenges/gc-sea-level, last access: 22 August 2018). The results presented in this paper are a synthesis of the ﬁrst assessment performed during 2017– 2018. We present estimates of the altimetry-based global mean sea level (average rate of 3.1 ± 0.3 mm yr − 1 and acceleration of 0.1 mm yr − 2 over 1993–present), as well as of the different components of the sea-level budget (http://doi.org/10.17882/54854, last access: 22 August 2018). We further examine closure of the sea-level budget, comparing the observed global mean sea level with the sum of components. Ocean thermal expansion, glaciers, Greenland and Antarctica contribute 42 %, 21 %, 15 % and 8 % to the global mean sea level over the 1993–present period. We also study the sea-level budget over 2005–present, using GRACE-based ocean mass estimates instead of the sum of individual mass components. Our results demonstrate that the global mean sea level can be closed to within 0.3 mm yr − 1 (1 σ ). Substantial uncertainty remains for the land water storage component, as shown when examining individual mass contributions to sea level.
A new method for learning Phrase Based Machine Translation with Multivariate Mutual Information

Current statistical machine translation systems usually build an initial word-to-word alignments before learning phrase translation pairs. This operation needs so many matching between di erent single words of both considered languages. We propose a new approach for phrase-based machine translation which does not need any word alignments, it is based on inter-lingual triggers determined by Multivariate Mutual Information. This algorithm segments sentences into phrases and nds their alignments simultaneously. The main objective is to build directly valid alignments between source and target phrases. Inspite of the youth of this method, experiments showed that the results are competitive but needs some more e orts in order to overcome the one of state-of-the-art methods.
Base catalytic application of [ Nb 10 O 28 ] 6 – to CO 2 fixation : A kinetic and theoretical study

The decaniobate cluster (TBA)6[Nb10O28] (TBA= tetrabutylammonium) was found to act as a Lewis base catalyst for fixation of carbon dioxide (CO2) to styrene oxide (SO). A kinetic study showed that cycloaddition of CO2 adsorbed on [Nb10O28] with SO corresponded to the rate-determining step in the Eley–Rideal mechanism. We concluded that η–O or μ2–O sites contributed to the activation of CO2 on the basis of the adsorption energy of CO2 on each surface oxygen site estimated by DFT calculation.
Attribute amnesia and priming 1

Recent reports suggest that the attended features of an item may be rapidly forgotten once they are no longer relevant for an ongoing task (attribute amnesia). This finding relies on a surprise memory procedure that places high demands on declarative memory. Here we used inter-trial priming to examine whether the representation of an item’s identity is lost completely once it becomes task irrelevant. If it is, then the identity of a target on one trial should not influence performance on the next trial. In three experiments we replicated the finding that a target’s identity is poorly recognized in a surprise memory test. However, we also observed location and identity repetition priming across consecutive trials. These data suggest that, although explicit recognition on a surprise memory test may be impaired, some information about a particular target’s identity can be retained after it is no longer needed for a task.
An LQR-Based Controller Design for an LCL-Filtered Grid-Connected Inverter in Discrete-Time State-Space under Distorted Grid Environment

In order to alleviate the negative impacts of harmonically distorted grid conditions on inverters, this paper presents a linear quadratic regulator (LQR)-based current control design for an inductive-capacitive-inductive (LCL)-filtered grid-connected inverter. The proposed control scheme is constructed based on the internal model (IM) principle in which a full-state feedback controller is used for the purpose of stabilization and the integral terms as well as resonant terms are augmented into a control structure for the reference tracking and harmonic compensation, respectively. Additionally, the proposed scheme is implemented in the synchronous reference frame (SRF) to take advantage of the simultaneous compensation for both the negative and positive sequence harmonics by one resonant term. Since this leads to the decrease of necessary resonant terms by half, the computation effort of the controller can be reduced. With regard to the full-state feedback control approach for the LCL-filtered grid connected inverter, additional sensing devices are normally required to measure all of the system state variables. However, this causes a complexity in hardware and high implementation cost for measurement devices. To overcome this challenge, this paper presents a discrete-time current full-state observer that uses only the information from the control input, grid-side current sensor, and grid voltage sensor to estimate all of the system state variables with a high precision. Finally, an optimal linear quadratic control approach is introduced for the purpose of choosing optimal feedback gains, systematically, for both the controller and full-state observer. The simulation and experimental results are presented to prove the effectiveness and validity of the proposed control scheme.
Ecological Effects of Allelopathic Plants – a Review

In this report actual literature concerning allelopathy has been reviewed. The objective of the report has been to discuss the potential of allelopathy in relation to genetically modification of crops and on this background to discuss how allelopathic crops may interfere with the environment through spread of GM-plants or transgenes outside agricultural areas. The last chapter discuss GM-allelopathic plants in relation to the ecological risk assessment.
Job Performance: Structural Modelling the Relationship of Emotional Intelligence and Transformational Leadership

This study aims to investigate the effects of emotional intelligence and the impact of transformational leadership behaviour towards job performance. Sample of the study was comprised of 306 (Male =132; Female =174) public school personnel as leaders in their respective environments, such as principal, senior administrative assistant, senior assistant student affairs (HEM), senior assistant curriculum, the heads of the four departments set by the Ministry of Education i.e. Heads of Humanities and Religion, Science and Math, English, and Engineering & vocational as well as members of general committee from High Performance Schools (SBT) in Malaysia. Emotional Competence Inventory (ECI), Transformational Leadership Behaviour (Multi-factor leadership questionnaire) (MLQ) and job performance were used to measure EI, transformational leadership and job performance accordingly. The structural equation modelling (SEM, a multivariate technique, via Analysis of Moment Structure (AMOS) computer software version 20.0 was utilised to empirically test and estimate the hypothesised relationship between constructs. Results revealed that emotional intelligence is positively related to transformational leadership behaviour, and transformational leadership behaviour has a significant and positive relationship with job performance. Among the two predictors, transformational leadership was found to have a greater direct impact on job performance and exist direct impact of emotional intelligence was found in this empirical analysis on job performance. On a practical note, the assessment of psychological constructs in school setting e.g.; EQ and leadership behaviour could possibly assist in enhancing the work performances in delivering huge benefits to the society especially in the educational contexts. Finding of the present research can help to improve overall organizational behaviour and productivity resulting in optimum service delivery to the stakeholders within educational system in Malaysia.
Primary Recovery of Biologically Active Compounds Using Macroporous Monolithic Hydrogels

Bacterial endotoxins (BEs) are integrated part of Escherichia coli , a microorganism widely used for the production of recombinant proteins. BEs should be eliminated in the course of down stream processing of target protein produced by these bacteria. Supermacroporous monolith (continuous bed) columns, so called cryogel columns, with immobilized polyethyleneimine (PEI), polymyxin B (PMB) and lysozyme were employed for BEs capture. Due to the large interconnected pores it was possible to use cryogel columns at ﬂow rates as high as 10ml/min. The columns packed with Sepharose CL-4B with immobilized PEI, PMB and lysozyme were impossible to use at these high ﬂow rates due to the collapse of the bed. The dynamic capacities of the cryogel columns were nearly independent of the ﬂow rate. In the presence of EDTA, BEs were quantitatively captured from mixtures with a model protein, bovine serum albumin (BSA) at pH 7.2 with practically no protein losses. At pH 3.6 BEs were captured directly from non-clariﬁed E. coli cell lysate resulting in more than 10 4 times BEs clearance.