Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensor Modulation and Local Communication in Evolutionary Robotics

Evolutionary robotics is an artificial intelligence technique that allows for the synthesis of robotic controllers. Artificial neural networks are often used as robotic controllers because of their capacity to tolerate noise such as that introduced by imperfections in sensors and actuators. In evolutionary robotics, robots evolve their controllers with close interactions with the environment, in which sensing is one of the key factors for achieving a good performance. In this thesis, we present two approaches for improving the way in which robots with evolved behavioral control sense their surrounding environment. In evolutionary robotics, the mapping from raw sensory input to neural network input is typically decided by the experimenter or encoded in the genome, remaining fixed throughout a robot’s lifetime. Inspired by biological sensory organs and the mammalian brain’s capacity for selective attention, we evaluate an alternative approach in which a robot has active, real-time control over the mapping from sensory data to neural network input. We augment the neural controllers with additional output neurons that control key sensory parameters and evolve solutions for a single-robot foraging task. On the other hand, in swarm robotics, the constituent robots are typically equipped with simple onboard sensors of limited quality and range. We propose to use local communication to enable sharing of sensory information between neighboring robots to overcome the limitations of onboard sensors. Shared information is used to compute readings for virtual, collective sensors that, to a control program, are indistinguishable from a robot’s onboard sensors. Our experimental results show that the capacity to control the mapping from raw input to neural network input is exploited by evolution and leads to novel solutions with higher fitness compared to traditional approaches, and that collective sensors significantly improve the swarm’s performance by effectively extending the capabilities of the individual robots.
Effect of Enterprise Resource Planning Implementation on Financial Performance of Commercial Banks in Nigeria

This study focused on the effect of enterprise resource planning implementation on financial performance of commercial banks in Nigeria. The main problem this study intends to identify and deal with is lack of integration in an organization. The causes of this integration is the lack of enterprise resource planning implementation (ERPI) due to its high cost of acquisition and the use of conventional accounting software which lacks the capability of better audit features, open systems which promotes interaction between clients and customers and wider database capacity. This study adopted an ex-post fact research design and a cross section panel data from 2008 – 2017 was collected from both primary and secondary sources. The collected data was analyzed using the ordinary least square technique with the aid of STATA 13. The results revealed that enterprise resource planning implementation has a significant effect on financial performance proxy by gross profit margin, return on assets and return on investment. Conclusively, ERP may integrate with the bank’s daily operation only after a long-term use and the financial benefits of ERP may show. This indicates that the effect of ERP implementation on financial performance improvement have a time-lagged effect. Based on this, it is recommended that banks should set rational implementation goal before ERP implementation and put more emphasis on managing the implementation process. All banks in Nigeria should implement ERP so as to improve their efficiency and improve their financial performance.
A test of ecological selection against young-ofthe-year hybrids of sympatric sticklebacks

Ecological selection against hybrids, the reduction in hybrid fitness attributed solely to environmental factors, was tested by introducing young-of-the-year benthic, limnetic and F1 hybrid sticklebacks Gasterosteus aculeatus to divided experimental ponds and lake enclosures. The frequency of hybrids in samples taken at the end was significantly lower than their frequency at introduction. Hybrid survival was significantly lower in pond-sides in which they were initially the most common cross type than in pond-sides in which they were initially rare, suggesting that hybrid survival may be frequency-dependent. Growth rate of F1 hybrids was marginally lower than benthic growth rates, being significantly lower than in ponds and not different in lake enclosures. The diet of hybrids overlapped with both parent species in ponds and with benthic diets in lake enclosures. The results suggest that ecological selection is acting against young-of-the-year hybrid sticklebacks. 2000 The Fisheries Society of the British Isles
MOBILE LEARNING WITH GOOGLE APP ENGINE D.Vimala

The speedy pace of modification being witnessed globally within the info and Communication Technology sector likewise because the skyrocketing prices in obtaining basic education wants met have forced several to hunt for other ways of meeting these wants. Recent innovations in distance education displayed the pathway to new and dynamic ways that of learning through Massively Open online Courses (MOOCs) geared toward providing unlimited participation and open access via the online. additionally to the current, the quality of today’s learners and ubiquitousness of smartphones has seen a surge in analysis focused on ways that of providing contextualized styles of learning that meet the triad anyplace, Anytime, and Anyone. to the current impact there are growing numbers of analysis publications at intervals the ambits of Mobile Native Apps, Mobile internet Apps, Hybrid Apps and the way they're getting used to facilitate learning. however with every of those solutions comes the difficulty of quantifiability and the way this may be overcome to satisfy the ever increasing demands of passionate learners round the globe. In this paper, we tend to plan to offer a cloud computing resolution for Mobile Learning with Google App Engine.
Acid others ' Establishing Construct Validity of Psychological Instruments

ABSTRACT A logically sound and methodologically eEsy technique for improv'ng the construct vali.ity of instruments and developed for relatively new concepts is described. It is based on the premise that if an instrument is valid, so should be each item within it and, therefore, the latter should sustain in field setting the behavioral implications derived from the theory underlying the construct. This idea was examined for 87 items of seven factorially "pure" scales, using a nearly raniom sample of about 7,000 subjects, and testing 10 such hypotheses for each item. The results are described. (Author/BB)
DEEP BELIEF NETWORK BASED QUESTION ANSWERING SYSTEM USING ALTERNATE SKIP-N GRAM MODEL AND NEGATIVE SAMPLING APPROACHES

The Question Answering (QA) system becomes essential owing to the increasing amount of web content and high demand for the right and short information. Intending to enhance QA results towards the Natural Language Processing (NLP) community, most of the Question answering system exploits machine learning algorithms to generate an appropriate answer to the user query. Even though, it lacks to predict accurately over the large-scale data by itself, needs an external force to make adjustments in the answer prediction. With the recent evolution in deep learning, the neural network architecture reflects its potential for QA. The deep learning model can determine the issues in answer prediction on their own and resolves it. The class of deep neural network such as Deep Belief Network (DBN) is widely applied in question answering especially for text processing. Moreover, most of the works on the text processing exploits the skip-gram model for representing the relevant words in the vector over a massive volume of unstructured text data. However, it results in inefficient outcomes, especially when processing the combination of frequent data and stop words. To resolve these issues, this paper introduces the Deep Neural network for Answering user queries (DNA). The proposed DNA approach performs the QA system over DBN by applying alternate skip-N gram and negative sampling. The conditional probability measurement develops an alternate skip-N gram model and alternatively applying the normal N-gram and skip-N gram model. It improves the efficiency of relevant word-pair detection without increasing the computational complexity. By only using samples, the negative sampling reduces the impact of noise on the accuracy of alternate skip-N gram model and improves the efficiency of the QA system. Finally, the DNA is evaluated using Java and compared with the existing Unified model for DocumentBased Question Answering (UDBQA). The results show the efficiency of DNA, for instance, the UDBQA approach reduces the F-measure by 16.3%, compared to the DNA approach with 2000 number of queries.
Design of a Convolution Engine optimised for Reverb

Real-time convolution has become a practical tool for general audio processing and music production. This is reflected by the availability to the Linux audio user of several high quality convolution engines. But none of these programs is really designed to be used easily as a reverberation processor. This paper introduces a Linux application using fast convolution that was designed and optimised for this task. Some of the most relevant design and implementation issues are discussed.
POLLING AND MULTI-PARTY ACCURACY MEASURES : EVIDENCE FROM THE ITALIAN GENERAL ELECTIONS

This paper aims to explore the predictive accuracy of pre-electoral polls. We analyse the statistical issues concerning the accuracy of polls. Employing a new measure, poll accuracy is discussed to assess the relevance of the accuracy measure to multi-party elections. We focus on the last three Italian general elections and their outcomes in order to explore what empirical evidence they provide for the reliability and accuracy of Italian pre-electoral polls.
NEGATIVE APPENDICECTOMY RATE IN CURRENT SURGICAL PRACTICE

Objective: To determine the negative appendicectomy rate in current surgical practice Material and Methods: This prospective descriptive study was conducted in Hamdard University Hospital and four other private hospitals where authors practice from March 2006 to February 2008. One hundred and sixty eight patients underwent appendicectomy during the study period. Details of clinical presentations, investigations, operative findings and histopathology were entered and analyzed. Result was compared with local and international studies. Results: A total number of 168 patients with age range from 8 to 59 years, including 88 male and 80 female, under went appendicectomy. Normal appendices were found in 31 patients (negative appendicectomy rate 18.45%) and associated pathology was seen in 13 patients, an incidental finding of Meckel's diverticulum in 5 patients and no other pathology was seen in 13 patients. Conclusion: In current surgical practice negative appendicectomy rate is still high 18.45%.
Addressing undergraduate students ’ difficulty in learning the General Principle of Work and Mechanical Energy

In this contribution, we report the implementation and evaluation of a interactive Teaching Learning Sequence (TLS) introducing the concepts of Work, energy and the relations between them. The sequence has been designed with the Design Based Research (DBR) methodology. In order to analyse the effectiveness of the Sequence for students to be able to achieve the set learning goals, a pre-post test was designed. We was given the questionnaires, over two academic years (14/15 and 16/17), to about 170 students who attended the introductory physics course for the first engineering degree. Our findings show that the majority of experimental students progress from particular cases of the relation between work and energy towards an explanatory general principle of work and energy. We discuss implications of our findings in relation to the DBR methodology used to design the TLS.
Unruptured Intracranial Aneurysm Involving the Distal Anterior Cerebral Artery: A Cadaveric Study

Aneurysm affecting the distal segment of anterior cerebral artery (DACA) are well documented. But scanty literature is available on the structural and morphological changes produced by the aneurysm on the brain tissue which in turn can produce clinical effects and functional disturbances. Distal cerebral artery aneurysms represent 1.5% to 9% of intracranial aneurysms and most often occur at the origin of the calloso-marginal artery. Frontal lobe plays a vital role in higher mental functions such as motivation, planning, social behaviour and speech production. Damage to frontal lobe can show cognitive, emotional, behavioural symptoms. We present a case report of a completely thrombosed unruptured intracranial aneurysm (UIAs) of anterior cerebral artery proximal to origin of calloso-marginal artery in a cadaveric brain. This space occupying lesion in this particular case may be considered as one of cause for progressive frontal lobe syndrome. Therefore, it is desirable to identify UIA’s which are at greater risk of rupture and those which may cause slow progressive space occupying lesion, while considering which to repair.
Dispersal patterns of endogenous bacteria among grass carp ( Ctenopharyngodon idellus ) guts

The formation and regulation of vertebrate endogenous intestinal microbiota has been widely studied as the microbiota plays a crucial role in the host nutrition, development, and health. Despite the importance of microbiota for host health, it is still unclear whether the endogenous intestinal microorganisms are genetically distinct or whether they are genetically related with each other in different host individuals. In the present study, the dispersal situation of the endogenous intestinal bacteria in grass carp was investigated by constructing bacterial 16S rRNA gene clone libraries. The results indicate that the bacteria harbored in the grass carp gut could be separated into the following two groups: a- the private operational taxonomic units (OTUs), which include Achromobacter xylosoxidans and Bacteroides species; b- the shared OTUs, which include Vibrio cholerae , Plesiomonas shigelloides and Pasteurella speices. The results obtained in this investigation provide valuable information for assessing the mechanism of spread of the endogenous intestinal bacteria, especially the pathogenic ones. However, the mechanisms involved in different modes of bacterial dispersal in the grass carp gut still require further research.
A Variation on the Theme : SQuAD

Question answering is becoming ever more relevant as an increasing portion of human search queries are performed via digital assistant, and thus require a single specific answer rather than a page of links. The SQuAD dataset provides a benchmark for computer reading comprehension. Work in this field falls into two categories: using pre-trained contextual embeddings or relying solely on default word embeddings and a combination of attention and pointer networks. In this project I forgo the use of pre-trained contextual embeddings and instead explore combinations of different kinds of attention and character-level subword models. Embedding enhancements resulted in the greatest performance increase and selfattention methods were modestly successful. A novel full attention model may merit further development as it showed success in certain areas.
A cultural extension of familiness-A case study on

The interest of family businesses and the research within the topic is gaining momentum. A relatively new concept “familiness” elaborates on how the owning family affects the firm. Previous studies within the field have put emphasis on the family and top management, leaving a void of research in other levels of the organisation. The problem addressed in this thesis is how the unique characteristics of family firms can be captured and how to take advantage of them. This is examined through an elaboration of existing research and an investigation of familiness in three different hierarchical levels at Spendrups. By interpreting the quantitative tool F-PEC and apply a qualitative approach, where actual values are investigated, the extent of family influence at different hierarchical levels as well as limitations to existing theories are examined. This thesis indicates that culture is a vital part of familiness that should be emphasised more. In order to capture familiness and to assimilate the family firm’s unique characteristics, culture alignment appears to be of importance. As an organisation grows, it becomes harder for the family’s core values to permeate the organisation, hence highlighting the aspects of culture alignment and unification of the organisation. This thesis contributes to the research field of family firms and familiness. Based on Spendrups it also presents a concrete case of how familiness is perceived throughout the organisation.
Graphical Representations Provide Insight into Life Cycle Planning Through Data Analytics

In industries such as manufacturing, engineering, and telecommunications, product line management professionals rely on data to inform day-to-day operational decisions and forecast planning. Within the military training community, training device product line managers aim to increase device utilization, account for Quality of Service (QoS) and realize cost avoidance goals. Data sources related to the operation and maintenance of military training devices typically involve life cycle factors such as device utilization rates, preventative and corrective maintenance records, location, and other device specific information. These data hold the key to understanding the driving forces behind critical life cycle metrics (e.g., utilization, QoS, cost). However, clearly delineating relationships based upon traditional data reporting practices is not necessarily obvious. The purpose of this paper is to present lessons learned from a multi-year effort to improve data visualization and presentation in an effort to relieve product line managers from cumbersome data reduction efforts. Using life cycle data collected on the Warfighter FOCUS contract, the authors present four graphical display methods that have significantly improved the communication between product line managers and support contractors, informed tradeoff analyses, and contributed to the advancement of life cycle reporting for the military training community. The authors present practical advice for visualizing data that empowers product line managers to make data driven decisions and report status to stakeholders.
OBSERVATION OF ENVIRONTMENT AND SERVICE QUALITY TO GAIN COMPETITIVE ADVANTAGE IN SMALL MICRO MEDIUM ENTERPRISE ( UMKM ) BATIK , JEMBER , EAST JAVA

As the world business increases rapidly these days the economic growth, both products and industrial sector, has been developing by leaps and bounds. The competition between competitors in batik business goes restrictive because there are so many companies in this field, in which there are also new comers in the game who have great capital. In the middle of the tight competition, there is an association of batik entrepreneurs who gives serious attention and develops a scheme of business to oversee the business activities. In order to draw attention and maintain the service to the consumers, a company must put the , where the function essential key to win the competition might be obtained by adding value and satisfaction to the customers through the distribution of high-quality products.
The impact of patient-centred versus didactic education programmes in chronic patients by severity . The case of type 2 diabetes mellitus Value in Health

This research was conducted through the project “The Contribution of Public and Private Services to European Growth and Welfare, and the Role of Public-Private Innovation Networks (ServPPIN)”, financed by the European Commission, VII Framework Programme (FP7-SSH-2007-1); and through the project “La innovación en servicios y las interacciones entre servicios públicos y privados: el caso de la sanidad”, financed by the Ministerio de Ciencia e Innovación in Spain. Manuel García-Goñi also thanks the Ramón Areces Foundation for financial support starting November 2014 under the research project “Envejecimiento y sistema sanitario y social. El gasto público y sus efectos en igualdad, dependencia y aseguramiento en España”. The authors thank Pedro Pita Barros, Ricardo Mora, members of the ServPPIN European network, and participants at the Spanish Health Economics Association Meeting for their helpful comments. Any errors are the authors’ responsibility.
Human and Robot Tracking Using Histogram of Oriented Gradient Feature

This paper describes a real-time human and robot tracking method in Intelligent Space with multicamera networks. The proposed method detects candidates for humans and robots by using the histogram of oriented gradients (HOG) feature in an image. To classify humans and robots from the candidates in real time, we apply cascaded structure to constructing a strong classifier which consists of many weak classifiers as follows: a linear support vector machine (SVM) and a radial-basis function (RBF) SVM. By using the multiple view geometry, the method estimates the 3D position of humans and robots from their 2D coordinates on image coordinate system, and tracks their positions by using stochastic approach. To test the performance of the method, humans and robots are asked to move according to given rectangular and circular paths. Experimental results show that the proposed method is able to reduce the localization error and be good for a practical application of humancentered services in the Intelligent Space.
EVALUATION OF PERIODONTAL DISEASE AWARENESS BY COMPARING SELF REPORTS AND CLINICAL MEASUREMENTS OF PATIENTS AT ISTANBUL UNIVERSITY FACULTY OF DENTISTRY-istanbul Üniversitesi Diş Hekimliği Fakültesi'ne Başvuran Hastaların Periodontal Hastalık Farkındalıkla

Amac: Bu kesitsel calismanin amaci Istanbul Universitesi Dis Hekimligi Fakultesi’ne basvuran hastalarin klinik periodontal olcumleri ve kendi ifadeleri karsilastirilarak periodontal hastalik farkindaliklarinin degerlendirilmesidir. Gerec ve Yontem: Calismaya 674 hasta dahil edilmistir. Plak varligi (%), sondalamada kanama (%), sondalanabilir cep derinligi, CPITN olcumleri yapilmistir. Hastalarin kendi periodontal hastalik durumlari hakkindaki dusunceleri hazirlanan anket sorulariyla belirlenmistir. Periodontal hastalik farkindaliklari klinik olcum degerleri ile kendi ifadeleri karsilastirilarak degerlendirilmistir.Bulgular: Hastalarin periodontal farkindalik orani %44’dur. Yas, sondalamada kanama ve plak varligi olcumleri farkinda olan ve olmayan hastalar arasinda farklilik gostermemekle birlikte, cep derinligi, dis sayisi, 4mm’ den daha derin periodontal cep sayisi ve CPITN degerleri gruplar arasinda belirgin farklilik gostermistir. Bir dis hekimi tarafindan yonlendirilen hastalara gore sikayet nedeniyle basvuran hastalarin farkindaliklarinin daha yuksek oldugu gozlenmistir.Sonuc: Klinigimize basvuran hastalarin periodontal hastalik farkindaliklari dusuktur. Hastalarin cogu ne kendi periodontal durumlarinin ne de periodontal hastalik belirtilerinin farkindadir.