Miracle-dz/UniFAR-FTUs huggingface dataset:
Coaching Relationship and Coaching Communication : A Correlational Study

This quantitative descriptive study aimed to identify the influence of coaching relationship on the coaching communication by the perception of polytechnic lecturers. A total of 411 lecturers randomly selected from the five polytechnics which successfully obtained an overall excellent performance including academic standards and quality management through the recognition of the polytechnic ratings. Data for this survey were collected through a questionnaire which was adapted from an instrument used by Heslin, VandeWalle, and Latham (2006), and Gregory and Levy (2010). The results of multiple regression analysis showed that coaching relationship had positive and significant influence on coaching communication. In term of the implications, this study showed the role of the middle manager is extremely important in creating the coaching relationship in order to improve coaching communication performance. © 2016 Elixir All rights reserved. Elixir Leadership Mgmt. 90 (2016) 37804-37807 Leadership Management Available online at www.elixirpublishers. com (Elixir International Journal) Tele: E-mail addresses: lingyingleh@gmail.com © 2016 Elixir All rights reserved Ying-Leh Ling et al./ Elixir Leadership Mgmt. 90 (2016) 37804-37807 37805
Voice-Assistant based Home Automation System using Raspberry Pi

1,2,3,4Students of Graduation, Department of Electronics and Communication Engineering, Reva University, Bangalore, Karnataka, India. 5Asst.Professor, Dept. of Electronics and Communication Engineering, Reva University, Bangalore, Karnataka, India. ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract Voice-Assistant based home automation system is a very helpful project for those who are differently abled and senior citizens, who are unable to do their works accurately in home or office and need an assistant to execute all that work. This project reduced wired automation and develops a wireless voice controlled home automation. The objective of this home automation is to make life simpler and easier. Due to the compact nature of mobile phones they are very familiar to everyone. This paper presents the overall design of our development “Voice assistant based home automation system”. The automation identifies the voice commands given by the user through the Android phone and transfers the data to the microcontroller to perform the tasks accordingly. Raspberry Pi 3B+ is a preferable one for home automation because of its inbuilt WI-FI and Bluetooth technology. This project is proposing to control all the electrical appliances through voice commands and to respond accordingly to user’s queries.
The 2-aminobenzothiazole–N-benzyl-2-oxo-2H-1-benzopyran-3-carboxamide (1/1) donor–acceptor complex

The title complex, C7H6N2S·C17H13NO3, consists of donor and acceptor π-stacks in the alternating A–D–D′–A′ pattern, through parallel displaced interactions, with a mean interplanar distance of 3.50 (3) A. The complete three-dimensional supramolecular arrangement is achieved by both N—H⋯O and C—H⋯X (X = O, aryl) hydrogen-bonding interactions, which define an A⋯D⋯D′⋯A′ hydrogen-bonded tetramer, among other supramolecular structures.
Abnormality Classification and Detection in Musculoskeletal Radiographs

Bone fracture is created by stresses higher than the bone can bear. It leads to bone discontinuity. Healing of fracture takes time. Timely diagnostic and effective detection of bone fracture is essential to minimize the complications. The conventional radiography is the most common means of bone fracture evaluation in clinical practice. In this paper image processing techniques are used to detect bone fracture. The MURA standard dataset is used as a ground truth in the experiment to train and detect abnormalities on elbow, forearm, hand, humerus, shoulder, finger and wrist studies. The detection of abnormalities on various bones of different body part’s radiographs. The experimental results are compared radiologist’s results available in the MURA standard dataset to analyze the performance.
External Managerial Networks, Strategic Flexibility and Organizational Learning: A Comparative Study Between Non-QM, ISO and TQM Firms

This paper studies the effect of external managerial social networks on strategic flexibility and organizational learning, considering three groups of analysis (Non-QM, ISO and TQM firms). At the present, there is a wide variety of alternatives for managing quality in organizations, such as ISO Standards or the EFQM model. Thus, different alternatives will influence the external social networks differently, affecting strategic flexibility and organizational learning, as literature on external social networks suggests that they can affect strategic flexibility and organizational learning positively. Through a comparative ANOVA analysis and step-wise regressions, we observe that external social networks affect strategic flexibility and organizational learning positively, primarily through greater size of the networks. On the other hand, we find that, depending on the QM initiative implemented in the organization, other effects vary. For example, in organizations without QM, the range of external social networks influences strategic flexibility negatively, whereas in organizations with ISO standards, this negative effect disappears. In organizations with TQM, we find the positive effect of both size and strength. For organizational learning, a negative relationship between this capability and network range was found for Non-QM firms group. These relationships turned positive for TQM firms group.
Enough is Enough: Policy Uncertainty and Acquisition Abandonment

This study investigates how policy uncertainty affects the acquisition process during the post-announcement period. Utilizing a sample of Australian mining sector acquisitions over 1998-2017, we find that rising policy uncertainty after initial acquisition announcements is associated with delays in deal completion. In addition, prolonged high policy uncertainty plays a critical role in triggering acquisition abandonment. Further, the stock market reacts less negatively to deal abandonment decisions made amid protracted policy uncertainty. The muted market reactions are also associated with managers’ explanations for deal abandonment. Overall, our findings highlight that policy uncertainty is an important “deal-breaker” in acquisitions.
Hydrogel Mechanics Influence Growth and Development of Embedded Brain Organoids

Brain organoids are three-dimensional, tissue-engineered neural models derived from induced pluripotent stem cells that enable studies of neurodevelopmental and disease processes. Mechanical properties of the microenvironment are known to be critical parameters in tissue engineering, but the mechanical consequences of the encapsulating matrix on brain organoid growth and development remain undefined. Here, Matrigel<sup>®</sup> was modified with an interpenetrating network (IPN) of alginate, to tune the mechanical properties of the encapsulating matrix. Brain organoid grown in IPNs were viable, with characteristic formation of neuroepithelial buds. However, organoid growth was significantly restricted in the stiffest matrix tested. Moreover, stiffer matrices skewed cell populations towards mature neuronal phenotypes; with fewer and smaller neural rosettes. These findings demonstrate that mechanics of the culture environment are important parameters in brain organoid development, and show that the self-organizing capacity and subsequent architecture of brain organoids can be modulated by forces arising from growth-induced compression of the surrounding matrix. This study therefore suggests that carefully designing the mechanical properties of organoid encapsulation materials is a potential strategy to direct organoid growth and maturation towards desired structures.
Evolution of Entropy in Art Painting Based on the Wavelet Transform

Quantitative studies of art and aesthetics are representative of interdisciplinary research. In this work, we conducted a large-scale quantitative study of 36,000 paintings covering both Eastern and Western paintings. The information entropy and wavelet entropy of the images were calculated based on their complexity and energy. Wavelet energy entropy is a feature that can characterize rich information in images, and this is the first study to introduce this feature into aesthetic analysis of art paintings. This study shows that the process of entropy change coincides with the development process of art painting. Further, the experimental results demonstrate an important change in the evolution of art painting, and since the rise of modern art in the twentieth century, the entropy values in painting have started to become diverse. In comparison with Western paintings, Eastern paintings have distinct low entropy characteristics in which the wavelet entropy feature of the images has better results in the machine learning classification task of Eastern and Western paintings (i.e., the F1 score can reach 97%). Our study can be the basis for future quantitative analysis and comparative research in the context of Western and Eastern art aesthetics.
DIGITAL CAMERA DETECTION AND DEACTIVATION USING IMAGE PROCESSING

The fundamental expectation of this project is to build up a framework that detects and deactivates digital cameras or hidden cameras in photography restricted zones. The framework involves two segments. The principle area is camera locating segment during which focal point of the camera is detected using Image Processing techniques and the second segment is the camera deactivation segment which depends on Arduino. In this segment, Arduino directs the IR transmitter towards the recognized camera and a solid infrared light is anticipated into camera focal point in order to neutralize the images captured by the detected camera. The infrared light projected is neither a health hazard nor interfere in cameras operation. Both these units are in synchronization with one another.
Phenolic content, antioxidant and antifungal activity of jackfruit extracts (Artocarpus heterophyllus Lam.).

Artocarpus heterophyllus Lam. is a plant from the Moraceae family commonly known as jackfruit or “tree bread” in Latin America, a common name of Artocarpus genus like: Artocarpus brasiliensis Gomez. , Artocarpus heterophylla Lam. , Artocarpus maxima Blanco, Artocarpus philippinensis Lam. , among others. Native to Southeast Asia and is widely cultivated in Malaysia and the Western Ghats of India. (Prakash et al., 2009; Vazhacharickal et al., 2016; Nayak et al., 2017). Jackfruit is not a very widespread crop in America. However, it is considered of importance in Brazil, Puerto Rico and in some Caribbean islands such as Jamaica and Bahamas, also is cultivated in southern Florida, California, and Hawaii in the United States (Crane et al., 2016). Jackfruit cultivation was introduced in Mexico in 1985 and is currently distributed in the states of Nayarit, Jalisco, Veracruz, Tabasco, and Chiapas, among others (Luna et al., 2016). The fruits are compounds or aggregates with a weight of 4.5 to 27.3 kg each; some varieties produce small fruits that weigh from 1.4 to 4.5 kg. The period between flowering and fruit ripening varies between 150 and 180 days (Jagtap & Bapat, 2010). The edible part surrounds each seed and is composed of a sweet, aromatic, crisp and smooth pulp; its exotic characteristic resides in its flavors, which is a mixture of tropical fruits such as pineapple (Ananas comosus), banana (Musa paradisiaca), mango (Mangifera indica), orange (Citrus sinensis), melon (Cucumis melo) and papaya (Carica papaya) (Servicio de Información Agroalimentaria y Pesquera, 2017). A. heterophyllus Lam. has been shown to have a wide variety of secondary metabolites, including various types of flavonoids, carotenoids, prenylflavones, and sterols; of which stand out artocarpine, artocarpetine, norartocarpetine, morine, artonin, isocarpine, artocapesine, tannins and sapogenins (Hari et al., 2014; Vazhacharickal et al., 2016). In addition to the above, this species contains lectins (jacaline and jackin), which have been shown to inhibit the growth of Fusarium moniliforme and Sacharomyces cerevisiae, due to their affinity for chitin, which is a key component of the cell wall of these microorganisms, altering the synthesis and / or arrangement of chitin in the cell wall (Prakash et al., 2009). Isoprenyl flavones, artocarpine and artocarpesin, obtained from methanolic extracts, have also been shown to inhibit the formation of cariogenic bacteria Streptococcus mutans and plaque formation in the prevention of dental caries (Theivasanthi et al., 2011). There is a current Phenolic content, antioxidant and antifungal activity of jackfruit extracts (Artocarpus heterophyllus Lam.).
INTERNAL INPIPE INSPECTION AND RECTIFICATION BOT

1,2,3,4 Student, Dept. of Electronics and Communication Engineering, Dr. Ambedkar Institute of Technology, Karnataka, India 5Assistant Prof., Dept. of Electronics and Communication Engineering, Dr. Ambedkar Institute of Technology, Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Pipelines are a very significant tool as they are
Effect of Naturally Occurring Compounds on Fumonisin Production and fum Gene Expression in Fusarium verticillioides

Fusarium verticillioides, one of the most common pathogens in maize, is responsible for yield losses and reduced kernel quality due to contamination by fumonisins (FBs). Two F. verticillioides isolates that differed in their ability to produce FBs were treated with a selection of eight natural phenolic compounds with the aim of identifying those that were able to decrease toxin production at concentrations that had a limited effect on fungal growth. Among the tested compounds, ellagic acid and isoeugenol, which turned out to be the most effective molecules against fungal growth, were assayed at lower concentrations, while the first retained its ability to inhibit toxin production in vitro, the latter improved both the fungal growth and FB accumulation. The effect of the most effective phenolic compounds on FB accumulation was also tested on maize kernels to highlight the importance of appropriate dosages in order to avoid conditions that are able to promote mycotoxin biosynthesis. An expression analysis of genes involved in FB production allowed more detailed insights into the mechanisms underlying the inhibition of FBs by phenolic compounds. The expression of the fum gene was generally down-regulated by the treatments; however, some treatments in the low-producing F. verticillioides strain up-regulated fum gene expression without improving FB production. This study showed that although different phenolic compounds are effective for FB reduction, they can modulate biosynthesis at the transcription level in opposite manners depending on strain. In conclusion, on the basis of in vitro and in vivo screening, two out of the eight tested phenols (ellagic acid and carvacrol) appear to be promising alternative molecules for the control of FB occurrence in maize.
APPLICATION OF UNIFIED POWER FLOW CONTROLLER FOR ENHANCEMENT OF POWER SECURITY ON NIGERIAN 330KV NETWORK

1, 3Post Graduate Student, Department of Electrical and Electronics Engineering, Modibbo Adama University of Technology Yola, Adamawa State, Nigeria 2Lecturer, Department of Electrical and Electronics Engineering, Modibbo Adama University of Technology Yola, Adamawa State, Nigeria ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract This paper presents the application of Unified Power Flow Controller (UPFC) for enhancement of power security on Nigeria’s national grid by minimizing power loss in transmission lines. The UPFC is used because it is the most versatile among the Flexible Alternating Current Transmission System (FACTS) family. Voltage sensitivity index method is used to determine the most appropriate location for the UPFC and bat algorithm optimization technique is used for finding the optimal size of the UPFC. Simulation results obtained before and after connecting the UPFC show net active and reactive power losses reducing from 106.58MW and 703.75MVAr to 84.23MW and 597.50MVAr respectively. Bus voltage enhancement was archived on most of the load buses with maximum enhancement of 0.1 pu recorded on three buses.
Adsorption of malachite green and crystal violet cationic dyes from aqueous solution using pumice stone as a low-cost adsorbent: kinetic, equilibrium, and thermodynamic studies

AbstractIn this study, the sorption potential of pumice was investigated as geomaterial adsorbent for removal of two cationic dyes, malachite green (MG) and crystal violet (CV), from aqueous solution. In batch experiments, the effects of contact time, particle size, absorbent dose, solution pH, initial dye concentration, and temperature of MG and CV ions on the pumice adsorption capacity was studied. The characterization of the pumice has been accomplished by X-ray fluorescence spectroscopy, scanning electron microscope, and Brunauer–Emmett–Teller technologies. Equilibrium data were accurately fitted onto Langmuir, Freundlich, and Temkin isotherms. The results showed that the adsorption isotherm data were fitted well to the Langmuir isotherm and the maximum adsorption capacities calculated were 22.57 and 6.99 mg/g for MG and CV at 25°C, respectively. The kinetic data for both dyes were better described by the pseudo-second-order kinetic model. The thermodynamic parameters such as ΔG°, ΔH°, and ΔS° were al.
A proposal for enhancing training speed in deep learning models based on memory activity survey

Deep Learning (DL) training process involves intensive computations that require a large number of memory accesses. There are many surveys on memory behaviors with the DL training. They use well-known profiling tools or improving the existing tools to monitor the training processes. This paper presents a new approach to profile using a co-operate solution from software and hardware. The idea is to use Field-Programmable-GateArray memory as the main memory for the DL training processes on a computer. Then, the memory behaviors from both software and hardware point-of-views can be monitored and evaluated. The most common DL models are selected for the tests, including ResNet, VGG, AlexNet, and GoogLeNet. The CIFAR-10 dataset is chosen for the training database. The experimental results show that the ratio between read and write transactions is roughly about 3 to 1. The requested allocations are varied from 2-Byte to 64-MB, with the most requested sizes are approximately 16-KB to 64-KB. Based on the statistic, a suggestion was made to improve the training speed using an L4 cache for the Double-Data-Rate (DDR) memory. It can be demonstrated that our recommended L4 cache configuration can improve the DDR performance by about 15% to 18%. key words: Deep Learning, Memory, Survey, Training Speed. Classification: Integrated circuits (logic)
A Survey on Electronic Health Records using Blockchain with Attribute-based Signature Scheme

1, 2, 3Student, Dept of Computer Engineering, R. N. G. Patel Institute of Technology, Gujrat, India 4Professor, Dept. of Computer Engineering, R. N. G. Patel Institute of Technology, Gujrat, India -----------------------------------------------------------------------***-----------------------------------------------------------------------ABSTRACT:The healthcare industry has been at the cutting edge of technology since time immemorial. Hardware, software, medication, surgical procedures; As with respect to present scenario in the real world in Medical Domain, advancement in terms of treatments given to patient has reached to a high level. For a maintaining record of patients Electronics Health Records (EHR) systems are widely used in hospitals and primary care centres but it is usually difficult to share information and to collect patient data for clinical research. This is partly due to the different proprietary information models and inconsistent data quality. So, we have discussed many implementation methods of Electronic Health Records using Blockchain Technology along with Attribute Based Signature with multiple authorities taking advantage of ABS with the Blockchain technology, so this could preserve the privacy of patients and maintain the immutability of EHRs. On top of that we have also discussed advantages and disadvantages of EHR is also helps to get why should Electronic Health Records are necessary to build with Blockchain Technology along with Attribute Based Signatures.
Physical Activity and Nutritional Status of Schoolchildren in Montenegro

This study aimed to investigate the association between nutritional status and physical activity in urban and rural school children in Montenegro, by presenting part of the results of the national survey on childhood obesity in Montenegro (2013-2015). The sample included 4725 Montenegrin children: 2381 (50.4%) boys and 2344 (49.6%) girls. The self-administered part of the questionnaire for parents included four questions on children’s physical activity. Anthropometric measurements were taken in schools. Nutritional status was assessed according to the criteria of the U.S. Centers for Disease Control and Prevention (CDC). In the present study, boys reported more physical activity than girls did (sports, outdoor play, etc.). The reported share of engagement in various team sports (football, basketball) was also higher among the boys than the girls. Rural children reported being more physically active than children in urban areas, and their scheduled physical education classes attendance was higher compared with their urban peers. There were no differences between children in rural and urban areas with respect to participation in individual/team sports. Obese children reported a significantly lower level of physical activity compared with normal-weight children. The obtained results suggest that the promotion of physical activity should be emphasized in an interdisciplinary as a way of prevention of childhood obesity as one of the significant public health challenges in the 21st century.
mRNA Inventory of Extracellular Vesicles from Ustilago maydis

Extracellular vesicles (EVs) can transfer diverse RNA cargo for intercellular communication. EV-associated RNAs have been found in diverse fungi and were proposed to be relevant for pathogenesis in animal hosts. In plant-pathogen interactions, small RNAs are exchanged in a cross-kingdom RNAi warfare and EVs were considered to be a delivery mechanism. To extend the search for EV-associated molecules involved in plant-pathogen communication, we have characterised the repertoire of EV-associated mRNAs secreted by the maize smut pathogen, Ustilago maydis. For this initial survey, we examined EV-enriched fractions from axenic filamentous cultures that mimic infectious hyphae. EV-associated RNAs were resistant to degradation by RNases and the presence of intact mRNAs was evident. The set of mRNAs enriched inside EVs relative to the fungal cells are functionally distinct from those that are depleted from EVs. mRNAs encoding metabolic enzymes are particularly enriched. Intriguingly, mRNAs of some known effectors and other proteins linked to virulence were also found in EVs. Furthermore, several mRNAs enriched in EVs are also upregulated during infection, suggesting that EV-associated mRNAs may participate in plant-pathogen interactions.