Miracle-dz/UniFAR-FTUs huggingface dataset:
An Investigation into Features of Design Thinking in Fast Moving Consumer Goods Brand Development : Integration and Collaboration

Most companies and researchers have no doubt now that design envisages a way toward future products, services, and systems. Recently, however researchers have started to highlight ‘design thinking’ to ensure that design becomes the next competitive advantage in companies. They acknowledge that design thinking enables companies to develop differentiated products, services and systems which consumers and users need. However, there is little research which reports how design thinking can be embedded and fostered in different business contexts, especially in FMCG (Fast Moving Consumer Goods) brand development. This paper investigates what features of design thinking are employed in FMCG brand development via stakeholder interviews in three domains: agencies, companies, and retailers. This paper concludes with suggestions of how design thinking can be embraced in FMCG brand development.
Towards a new framework of program quality measurement based on programming language standards

All languages, natural and programming, have rules and styles in how to write. These rules and styles mainly aim to make sure that anyone, who understand a language, can understand what the sentence say. In other words, the aim of rules and styles in a language is to deliver an information to reader, and the reader must get the right information. The literature review shows a lack of studies focusing on the code writing standards measurement processes. In this paper, we proposed a framework that can be applied on any programming language, using any standard of that language.
Effects of Music on Cognition Function and Speech Perception : A Literature Review

Background and Aim: Music is related with many aspects of brain activity, such as perception, cognition, memory, and learning, thus it is an appropriate instrument to study cognition and function of various aspects of brain. Cognition is one of the important dimensions of central neural system that has recently attracted researchers. Previous studies have shown that learning music can probably reinforce and evolve neural tracks and has positive effects on speech perception, especially in noisy and challenging situations. The current study was conducted to investigate the effect of music on cognition function and speech perception based on the existing clinical researches. Materials and Methods: Using keywords such as cognition, memory, music, and speech perception, five major databases, including, GoogleScholar, PubMed, ScienceDirect, Scoppus, and SID were searched for relevant papers published between 2000-2018. The search resulted in selection of 38 relevant studies. Results: Review of the studies showed that music has a positive effect on cognition and cognitive components such as memory, attention, and executive functions, as well as speech perception and its components, such as formants and syllables. Also, the results of the studies that examined cognitive functions and speech perception simultaneously in musicians and non-musicians showed that musicians with better cognitive function had better speech comprehension capabilities in noisy situations. Conclusion: Most of the studies indicated that there is a relationship among music, improvement of cognition functions, and speech perception. Playing music is not only production and perception of sounds, but also there is a correlation between these sounds and it can alter cognitive functions. Playing music can also cause improvement in auditory processing and it results in better perception of speech in complex auditory situations. In fact, it seems that playing music enhances the cooperation between high level of perception and cognitive processing.
Cluster Head Recovery Mechanism for Hierarchical Protocols

Due to the big and essential role played by the cluster head in hierarchical protocols of wireless sensor network, it consumes an amount of energy more than the member nodes of the cluster. Therefore, the hierarchical protocols usually suffer from a packet loss due to frequent cluster head failure during the data transmission. This decreases the communication reliability in wireless sensor network applications. Errors caused by data loss inevitably affect the data analysis and subsequent decision making. This paper introduces, the Low-Loss Low-Energy Adaptive Clustering Hierarchy Centralized Protocol (LLEACHC); LLEACH-C provides a cluster head recovery mechanism, which recovers the cluster head’s death during the protocol round operation. This is a missing mechanism in LEACH-C protocol, the protocol that is one of the most popular in hierarchical protocols. The simulation results showed that, LLEACH-C succeeds in decreasing the data packet loss by on average 43% over LEACH-C, and in increasing the lifetime of the network by on average 69.3% more than VLEACH, the protocol that also proposes a mechanism for cluster head death recovery. Furthermore the behavior of the LLEACH-C, in both of the End to End delay and Throughput, are analyzed and compared to VLEACH.
Entrepreneurship Education and Orientation as Performance Driver in Small and Medium-Scale Enterprises Dr .

Entrepreneurship education and orientation exposes students to the fundamental knowledge required for running a business successfully. Entrepreneurship education was introduced into Nigerian educational curriculum by the Federal Government of Nigeria in 2006 to enable youths acquire basic skills and knowledge for opening up their own small businesses. It finds expression in developing the foresight of the entrepreneur and his ability to take advantage of business opportunities unfolding in the business environment to create competitive value. Entrepreneurship education is one of the intervention strategies in line with global trend to refocus education towards solving the unemployment problem facing the world today. Descriptive research design was adopted in this article. Structured questionnaire was used to gather primary data for the study. A total of 60 questionnaires were administered to employees of Astral Water Limited, Surulere, Lagos. However, only 53 questionnaires were correctly completed and returned to the researcher. Data collected through the questionnaires were analyzed with regression and ANOVA test statistics using the Statistical Package for Social Sciences (SPSS) version 16. Two (2) hypotheses were formulated and tested in the study. The test showed that the null hypotheses of the two formulated hypotheses were rejected. The test of the two hypotheses provided resounding evidence to prove that entrepreneurship education and orientation serve as performance driver in small and medium-scale enterprises operating in Nigeria. The study recommended that entrepreneurs should re-double their effort on the acquisition of entrepreneurship education and skills to make superior performance sustainable.
The Archean e Paleoproterozoic evolution of the Quadril atero Ferrífero ( Brasil ) : Current models and open questions

The Quadril atero Ferrífero is a metallogenic district (Au, Fe, Mn) located at the southernmost end of the S~ao Francisco craton in eastern Brazil. In this region, a supracrustal assemblage composed of Archean greenstone and overlying NeoarcheanePaleoproterozoic sedimentary rocks occur in elongated keels bordering domal bodies of Archean gneisses and granites. The tectonomagmatic evolution of the Quadril atero Ferrífero began in the Paleoarchean with the formation of continental crust between 3500 and 3200 Ma. Although this crust is today poorly preserved, its existence is attested to by the occurrence of detrital zircon crystals with Paleoarchean age in the supracrustal rocks. Most of the crystalline basement, which is composed of banded gneisses intruded by leucogranitic dikes and weakly foliated granites, formed during three major magmatic events: Rio das Velhas I (2920e2850 Ma), Rio das Velhas II (2800e2760 Ma) and Mamona (2760e2680 Ma). The Rio das Velhas II and Mamona events represent a subduction-collision cycle, probably marking the appearance of a modern-style plate tectonic regime in the Quadril atero Ferrífero. Granitic rocks emplaced during the Rio das Velhas I and II events formed by mixing between a magma generated by partial melting of metamafic rocks with an end member derived by recycling gneissic rocks of older continental crust. After deformation and regional metamorphism at ca. 2770 Ma, a change in the composition of the granitic magmas occurred and large volumes of high-K granitoids were generated. The ca. 6000 m-thick Minas Supergroup tracks the opening and closure of a basin during the NeoarcheanePaleoproterozoic, between 2600 and 2000 Ma. The basal sequence involves continental to marine sediments deposited in a passive margin basin and contain as a marker bed the Lake Superiortype Cauê Banded Iron Formation. The overlying sediments of the Sabar a Group mark the inversion of the basin during the Rhyacian Minas accretionary orogeny. This orogeny results from the collision between the nuclei of the present-day S~ao Francisco and Congo cratons, generated the fold-and thrust belt structure of the Quadril atero Ferrífero. Afterwards, the postorogenic collapse resulted in the deposition of the Itacolomi Group and in the genesis of the dome-and-keel structure. In this paper, we review current knowledge about the 1500 Ma long-lasting tectonomagmatic and structural evolution of the Quadril atero Ferrífero identifying the most compelling open questions and
Selecting Feature Representation for Online Summarisation of Egocentric Videos

Visualising the content of a video through a keyframe summary has been a long-standing quest in computer vision. Using real egocentric videos, this paper explores the suitability of seven feature representations of the video frames for the purpose of online summarisation. Computational speed is an essential requirement in this set-up. We found that simple feature spaces such as RGB moments and CENTRIST are a good compromise between speed and representativeness in comparison with semantically richer but computationally more cumbersome spaces obtained through convolutional neural networks
To use or not to use? Discovering knowledge from IT service data for decision-making

Author: Kirsi Rossi Title: To Use or not to Use? Discovering Knowledge from IT Service Data for Decision-Making Master’s Thesis: September 2017, 92 pages, 22 figures, 8 tables, 2 appendices Faculty: Lappeenranta University of Technology Business and Management Major: Knowledge Management and Leadership Examiners: Docent Jozsef Mezei Post-Doctoral Researcher Henri Hussinki
Existence of Solutions for Weighted p ( t )-Laplacian Impulsive Integro-Differential System with Integral Boundary Value Conditions

This paper investigates the existence of solutions for weighted p(t)-Laplacian impulsive integro-differential system with integral boundary value conditions via LeraySchauder’s degree, the sufficient conditions for the existence of solutions be given. Moreover, we get the existence of nonnegative solutions. 2010 Mathematics Subject Classification: 34B37
Rethinking Ruralities : Social reconstruction and aid provision following the 2016 earthquake in Canoa , Ecuador

vii Chapter 1 When the earth shocked Canoa 1 1.1 Research statement and questions 1 1.2 Chapter overview 2 1.3 Situating Canoa 3 1.4 From aid provider to researcher in Canoa 5 1.4.2 Participative observation as an ethnographic tool 6 1.4. 3 About my positionality, challenges and unforeseen circumstances 7 Chapter 2 Useful Concepts 8 2.1 Social vulnerability and disasters 8 2.2 The notion of community in a nutshell 9 2.3 Social resilience and the meaning flexibility of its elements 10 Chapter 3 Social Vulnerability: Causes beyond the notion of poverty 13 3.1 The problem with homogenizing ruralities in earthquake studies: Looking at Canoa as a heterogeneous rural settlement. 13 3.2 Lack of information and loss of social memory as elements that increase social vulnerably. 15 Chapter 4 Local perceptions, responses and coping strategies in Canoa after the earthquake of April 2016 18 4.1 Social imaginary in Canoa 18 4.2 Can places shape people ́s perceptions about disasters? 20 Chapter 5 Social resilience: Is it likely to be achieved? 26 5.1 Linking humanitarian aid to development aid 26 5.2 Complexities of the resilience approach to aid provisioning 28 Chapter 6 Conclusions and Recommendations 32
Einstein, Cartan and Evans –

Although physicists have struggled in vain for over a half-century to encompass all natural forces within a unified theory, chemical physicist Myron W. Evans has succeeded in the year 2003. Based on the fundamental insights of Albert Einstein and Elie Cartan, Evans’ theory takes the geometry of space-time itself as the origin of all forces of Nature. As Einstein attributed gravitation to the curvature of space-time only, the new theory attributes both gravitation and electromagnetism to curvature and torsion (or twisting) of space-time. The space-time itself is considered as the mathematical description of the vacuum or aether that has impact on matter and its behavior. This leads to predictions of new physical effects which could be used to produce energy from space-time. All areas of physics including quantum physics and cosmology are changed by the new approach.
Repository Awareness , agreement , adoption and adherence to type 2 diabetes mellitus guidelines

Background: To assess the degree of awareness, agreement, adoption and adherence of physicians in Indonesia to type 2 diabetes mellitus guidelines, and their association with characteristics of the responders. Methods: Questionnaire survey among General Practitioners (GPs) attending the Indonesian Association of Family Practitioners annual conference in November 2012. The proportion of GPs who were aware of, agreed with, adopted and adhered to the seven recommendations in the guidelines (screening for diabetes, diagnosis, lifestyle modification, use of sulfonylurea, target blood glucose, target blood pressure and use of statin) were calculated in the total number of responders. Results: Of the 399 GPs participating, 383 (89%) were aware of the existence of Indonesian type 2 diabetes guidelines. Awareness for each recommendation varied from 66 to 91%. The recommendation to use a random blood glucose test for diagnosing patients with classic diabetes symptoms had the least awareness (265/399, 66%) and least agreement (163/399, 41%). The recommendation on statin use was the least adopted (192/399, 48%), while the least adherence (7/399, 2%) was found for the recommendation on screening for diabetes for patients with risk factors. Years of practice experience and proportion of diabetes patients seen in their practice were independently related with adherence to statin prescription. Conclusions: High awareness of the Indonesian type 2 diabetes guideline does not necessary lead to adoption or adherence to recommendations important for outcomes and quality of care. The awareness-to-adherence model helps in identifying barriers for the use of guidelines.
Performance Evaluation of FACTS Controllers for Short Transmission Line

For the power system stability enhancement, designing and performance analysis of the Flexible AC Transmission System devices has been presented in this paper for an 11kv system. Devices like Thyristor Controlled Series Capacitor, Fixed Capacitor Thyristor Controlled Reactor and Static Synchronous Compensator are designed for the purpose of system stability and continuous power flow in the system. The idea of the paper is to compare the power profile of the system under different conditions and system parameters which is variable capacitor values (50μF 1500μF). The power profile and characteristics of the uncompensated system with the system with compensating devices has been shown. Also, the fault analysis for the statcom compensated system analyzing the effect of fault on the system has been studied. The detailed analysis of results, based on performance and economics, device for the real and reactive power flow improvement, enhancing the system stability shows statcom compensated device to be better than the other compensating devices.
Piper sarmentosum Maintains Blood Pressure and Morphological Integrity of Liver in Type 1 Diabetic Rats

Piper sarmentosum (P.s) is known to possess anti-diabetic property and reduce the complications in diabetes mellitus (DM). In the present study, the effect of P.s extract on the blood pressure and liver tissue of experimental diabetic rats was determined. A total of 24 male Sprague-Dawley rats were used. Streptozotocin (STZ) was used for the induction of DM. Following, three days of STZ induction, the animals were equally divided (n=6) into; Ctrl: control, Ctrl+P.s: control with 0.125 g/kg of P.s, DM: untreated diabetic and DM+P.s: diabetic with 0.125 g/kg of P.s. The treatment with aqueous extract of P.s was continued for 28 days. At the end of the study, significantly decreased blood pressure and the morphological disturbances in liver tissue was reverted to normal in the DM+P.s group compared to the DM group. It is believed that P.s is an effective supplement for improving the organ damage in DM.
Clinical and molecular diagnosis of a Costa Rican family with autosomal recessive myotonia congenita ( Becker disease ) carrying a new mutation in the CLCNI gene

Myotonia congenita is a muscular disease characterized by myotonia, hypertrophy, and stiffness. It is inherited as either autosomal dominant or recessive known as Thomsen and Becker diseases, respectively. Here we confirm the clinical diagnosis of a family diagnosed with a myotonic condition many years ago and report a new mutation in the CLCN1 gene. The clinical diagnosis was established using ocular, cardiac, neurological and electrophysiological tests and the molecular diagnosis was done by PCR, SSCP and sequencing of the CLCNI gene. The proband and the other affected individuals exhibited proximal and distal muscle weakness but no hypertrophy or muscular pain was found. The myotatic reflexes were lessened and sensibility was normal. Electrical and clinical myotonia was found only in the sufferers. Slit lamp and electrocardiogram tests were normal. Two affected probands presented diminution of the sensitive conduction velocities and prolonged sensory distal latencies. The clinical spectrum for this family is in agreement with a clinical diagnosis of Becker myotonia. This was confirmed by molecular diagnosis where a new disease-causing mutation (Q412P) was found in the family and absent in 200 unaffected chromosomes. No latent myotonia was found in this family; therefore the ability to cause this subclinical sign might be intrinsic to each mutation. Implications of the structure-function-genotype relationship for this and other mutations are discussed. Adequate clinical diagnosis of a neuromuscular disorder would allow focusing the molecular studies toward the confirmation of the initial diagnosis, leading to a proper clinical management, genetic counseling and improving in the quality of life of the patients and relatives. Rev. Biol. Trop. 56 (I): 1-I I. Epub 2008 March 31.
Residual Energy Based Adaptive Routing Protocol for Cluster-Based Wireless Sensor Networks

: One of the important issue in Wireless sensor network is to extend the lifetime of the network by using the energy efficiently that are offered in each node of the network. An Adaptive routing protocol for a wireless sensor system is acquainted which enhances the survivability of the system by adequately utilizing the vitality of the sensor network. The Dynamic clustering approach provides a scalable and energy efficient solution for data transmission in Wireless Sensor Network. In this paper, a residual energy based adaptive routing protocol for a cluster-based wireless sensor network is proposed to adjust the energy utilization of inter-cluster communication and improve the lifetime of wireless sensor network. The Simulation results of the proposed work shows that adaptive routing protocol balances the energy utilization in inter-cluster communication, enhances the vitality productivity and increment the system lifetime.
Construction Conference 2018 , CCC 2018 , 30 June-3 July 2018 , Ljubljana , Slovenia Using Historical Data of Economic Variables in Investigating Variations in Building Construction Cost Index

The construction economy is exceptionally dynamic. Any variation in the prices of raw materials, labor, regulatory costs, and energy can have a major impact in the construction industry and make it difficult to control costs especially in large scale, long term and complex projects. Building Construction Cost Index (BCCI) is used in cost estimation of buildings and is defined as the measure of the changes in the cost of construction input items relative to the average price level of a base year. Therefore, it is important to understand the influencing factors and the impact of input variations in BCCI for limiting potential financial risks in construction projects. This study aims at investigating whether the historical data of different economic variables is useful to figure out the variations in BCCI. Data is obtained from the publications of the Turkish Statistical Institute to understand the relationship between BCCI and three factors including domestic producer price index, consumer price index and construction labor input index. In addition, the strength of the relationship between BCCI and aforementioned factors are analyzed via statistical analyses. © 2018 The Authors. Published by Diamond Congress Ltd., Budapest University of Technology and Economics Peer-review under responsibility of the scientific committee of the Creative Construction Conference 2018.
BERAUTI SPECTRAL SUBTRACTION DENGAN GAUSSIAN WINDOW

The accuracy of speech recognition system decreases when used on a noisy speech. Therefore, the speech recognition system needs to be supported by a speech enhancement method. This study proposes Berauti spectral subtraction method that uses gaussian window and minimum statistics noise estimation in order to improve the quality of noisy speech hence increase the accuracy of noisy speech recognition. Speech recognition system is built using the Hidden Markov Model Toolkit (HTK). This study applied three types of noise, five SNR levels, six oversubtraction values and four sidelobe gaussian window attenuation values with 1500 speech signals. Improvement of speech recognition accuracy using Gaussian window is compared with Hamming window. The results of the study shows that sidelobe and oversubtraction attenuation values affects recognition accuracy. The average speech recognition accuracy using gaussian window improve about 36.4% which is obtained at oversubtraction 4.75 and sidelobe attenuation = 1.5. Whereas, application of hamming window improves the accuracy about 18,7 % which is obtained at oversubtraction 2.5. Spectral subtraction using gaussian window or hamming window is able to improve the speech recognition accuracy, but gaussian window is better than hamming window.