Miracle-dz/UniFAR-FTUs huggingface dataset:
Pengaruh Pemberian Probiotik Campuran Streptococcus thermophillus Dan Bacillus Cereus Dalam Air Minum Terhadap Bobot Badan Dan Pertambahan Bobot Badan Mingguan Itik Magelang Jantan

Penelitian ini dilaksanakan untuk mengetahui pengaruh probiotik campuran Streptococcus thermophillus dan Bacillus cereus dalam air minum terhadap bobot badan dan pertambahan bobot badan mingguan itik Magelang jantan. Penelitian ini dilaksanakan di kandang Laboratorium Produksi Ternak Unggas Fakultas Peternakan Universitas Padjadjaran mulai dari Agustus sampai September 2015. Itik dipelihara dari DOD sampai umur 35 hari. Perlakuan dibedakan berdasarkan campuran probiotik (10 ml/L air minum) yang terdiri dari: P0 (tanpa probiotik), P1 (probiotik 100% Streptococcus thermophillus), P2 (probiotik 75% Bacillus cereus + 25% Streptococcus thermophillus), P3 (probiotik 50% Bacillus cereus + 50% Streptococcus thermophillus), P4 (probiotik 25% Bacillus cereus + 75% Streptococcus thermophillus) dan P5 (probiotik 100% Bacillus cereus). Metode penelitian yang digunakan adalah Rancangan Acak Lengkap dengan 6 perlakuan 4 ulangan dan setiap unit ulangan terdiri dari 4 ekor itik. Data dianalisis dengan ANOVA dan bila berpengaruh nyata maka dilakukan uji lanjut DUNCAN. Hasil penelitian menunjukkan bahwa penambahan probiotik campuran 10 ml/L air minum tidak berpengaruh terhadap bobot badan dan pertambahan bobot badan mingguan itik Magelang jantan. Dapat disimpulkan bahwa penambahan probiotik campuran 10 ml/L air minum belum mampu meningkatkan bobot badan dan pertambahan bobot badan mingguan itik Magelang jantan.
Geographical Information Systems: An Introduction

This book is written for the Geographical Information Systems (GIS) novice. It introduces beginners to the vocabulary, concepts, principles, and procedures of GIS, explaining these all in simple, easy-to-understand terms. With exercises, example applications, over 80 illustrations, and a glossary of GIS-related terms, this text is ideal for both students and professionals using spatial data.
Implementation of Generic Skills in the Curriculum

In many cultures and countries including Malaysia, the issue of incorporating generic skills into the curriculum taught to students in higher learning institutions has gained momentum in recent years. The raison d'etre to inculcate generic skills among students is to enable the country to meet human resource requirements which will be more competitive in the advent of a borderless world. Growing concerns of the employability of graduates and the expansion in the size and diversity of student populations also form the basis to implement the generic skills program in universities. All undergraduate programs offered in public higher learning institutions in Malaysia are now required to incorporate generic skills in the curricula. This generic skill requirement is subject to reviews when programs are accredited and rated for quality assurance by the Ministry of Higher Education. In order to satisfy this requirement, Universiti Malaysia Terengganu (UMT) as a new university has been proactive in redesigning the existing curriculum to be more competitive and marketable by integrating and implementing generic skills in the curriculum. This paper will discuss the approaches taken by UMT in integrating elements of generic skills in the teaching and learning activities. The experiences and challenges in the planning, implementing and assessing generic skills components are also elaborated. Finally, this paper ends with suggestions and recommendations with respect to further initiatives to enhance the employability of the graduates.
Image transmission techniques

We may not be able to make you love reading, but image transmission techniques will lead you to love reading starting from now. Book is the window to open the new world. The world that you want is in the better stage and level. World will always guide you to even the prestige stage of the life. You know, this is some of how reading will give you the kindness. In this case, more books you read more knowledge you know, but it can mean also the bore is full.
Broadband Stacked Patch Antenna with Low VSWR and Low Cross‐Polarization

A low cross‐polarization broadband stacked patch antenna is proposed. By means of the stacked patch configuration and probe‐fed strip feed technique, the VSWR 1.2:1 bandwidth of the patch antenna is enhanced to 22% from 804 MHz to 1,002 MHz, which outperforms the other available patch antennas (<10%). Furthermore, the antenna has a cross‐polarization level of less than −20 dB and a gain level of about 9 dBi across the operating bandwidth. Simulation results are compared with the measurements, and a good agreement is observed.
Single-Word Usage, Cognitive Development, and the Beginnings of Combinatorial Speech: A study of ten English-speaking children

Acknowledgements 1. Earlier work on the origins of language 2. The present research as it relates to earlier work 3. Design and procedures for the present study 4. The patterns of psycholinguistic and sensory-motor abilities 5. Toward a theory of single-word usage Appendices A - D References Index.
Routability estimation of FPGA-based fault injection

In the past years various approaches to hardware-based fault injection using FPGA-based hardware have been presented. Some approaches insert additional functions at the fault location (any location in the circuit, e.g. I/Os of components or their interconnection nets), while others utilize the reconfigurability of FPGAs. A common feature of each of these methods is the execution of hardware-based fault simulation using the stuck-at fault model at gate level. The expansion of a circuit by insertion of additional functions at the fault location constitutes an overhead of FPGA resources. An optimized mapping of the circuit into an FPGA and a routable placement in the FPGA is difficult to achieve due to the generation of additional functions at the fault locations. Therefore, an optimized assignment of the fault locations to the FPGA-resources (configurable logic blocks, look-up tables, I/O blocks, etc.) precedes and thereby guarantees the mapping and routability of very large circuits in an acceptable runtime. In this paper an approach to node assignment is introduced, which achieves a reduction in FPGA overhead as well as routability of the expanded circuit in a minimal runtime.
Automatic acquisition and classification of terminology using a tagged corpus in the molecular biology domain

This article describes our work to identify and classify terms in the domain of molecular biology according to examples that have been marked up by a domain expert in a corpus of abstracts taken from a controlled search of the Medline database. Automatic acquisition of biomedical term lists has so far been slow due to high variability in both the terms and their classification scheme, which we attribute to the diversity of research disciplines involved. Nevertheless, the explosive growth in online molecular biology literature makes a persuasive case for automating many tasks. This includes acquisition of records for gene-product databases such as SwissProt which are currently updated by human experts, a task that is both time consuming and often highly idiosyncratic. In this article we report results from a tool based on a hidden-Markov model for extracting and classifying terms that can be used as a key component in an information extraction system. We discuss the results in light of lexical, syntactic and semantic properties of terms that were revealed by our study.
An ant colony optimization approach for no-wait flow-line batch scheduling with limited batch sizes

A novel ant colony optimization (ACO) algorithm, ACO-BAT, was presented for the no-wait flow-line batching and scheduling problem, where the jobs are partitioned into groups, jobs of the same group can be processed simultaneously as a batch by the batch processing machines, but with limited batch size. The batch-sequence-dependent setup time of the batch processing machines, and the batch transfer time are considered in the problem. In the ACO-BAT algorithm, the artificial ants iteratively construct feasible job batching and batch sequencing solutions, guided by the pheromone distributed in the solution space. Comparisons with other algorithms on the extended Taillard's benchmark problems show that our algorithm is very efficient and robust.
A Grid Clustering Algorithm For Underwater Wireless Sensor Network Using Control Information

Underwater wireless sensor network (UWSN) is an important emerging research area in wide range of application, unlike the terrestrial network it uses the acoustic signal which has a unique characteristics like limited bandwidth, high and variable propagation delay, transmit energy, minimum network lifetime and so on. This paper proposes an efficient clustering algorithm having 3D-GRID network architecture and it uses limited control information for data gathering to improve the energy efficiency of the network. The GRID clustering method supports 3D deployment based on geographical location of the sensors which has cluster heads (CH) and non cluster heads (NCH). All the cluster heads are present in the center of the network and all the non-cluster head nodes are in minimum distance to the cluster head. This network structure helps to avoid the control packets for intra communication. For inter communication the CH data packet contains the control packet for route establishment and data transmission. Thus this technique reduce the usage of energy while communication and improve the lifetime of the network.
Syntax: Structure, Meaning, and Function

1. The goals of linguistic theory 2. Syntactic structure I: simple clauses and noun phrases 3. Semantic representation I: verbs and arguments 4. Semantic representation II: macroroles, the lexicon and noun phrases 5. Information structure 6. Grammatical relations 7. Linking syntax and semantics in simple sentences 8. Syntactic structure II: complex sentences and noun phrases 9. Linking syntax and semantics in complex sentences Epilogue: the goals of linguistic theory revisited Notes References.
Pareto archived dynamically dimensioned search with hypervolume-based selection for multi-objective optimization

Pareto archived dynamically dimensioned search (PA-DDS) is a parsimonious multi-objective optimization algorithm with only one parameter to diminish the user's effort for fine-tuning algorithm parameters. This study demonstrates that hypervolume contribution (HVC) is a very effective selection metric for PA-DDS and Monte Carlo sampling-based HVC is very effective for higher dimensional problems (five objectives in this study). PA-DDS with HVC performs comparably to algorithms commonly applied to water resources problems (ϵ-NSGAII and AMALGAM under recommended parameter values). Comparisons on the CEC09 competition show that with sufficient computational budget, PA-DDS with HVC performs comparably to 13 benchmark algorithms and shows improved relative performance as the number of objectives increases. Lastly, it is empirically demonstrated that the total optimization runtime of PA-DDS with HVC is dominated (90% or higher) by solution evaluation runtime whenever evaluation exceeds 10 seconds/solution. Therefore, optimization algorithm runtime associated with the unbounded archive of PA-DDS is negligible in solving computationally intensive problems.
Multilevel Refinement for Hierarchical Clustering

Abstract : Hierarchical methods are well-known clustering techniques that can be potentially very useful for various data mining tasks. A hierarchical clustering scheme produces a sequence of clusterings in which each clustering is nested into the next clustering in the sequence. Since hierarchical clustering is a greedy search algorithm based on a local search, the merging decisions made early in the agglomerative process are not necessarily the right ones. One possible solution to this problem is to refine a clustering produced by the agglomerative hierarchical algorithm to potentially correct the mistakes made early in the agglomerative process. The problem of refining a clustering has many similarities with that of refining a min-cut k-way partitioning of a graph. In this paper, the authors explore multilevel refinement schemes for refining and improving the clusterings produced by hierarchical agglomerative clustering. This algorithm combines traditional hierarchical clustering with multilevel refinement that has been found to be very effective for computing min-cut k-way partitioning of graphs. They consider several clustering objective functions for the proposed refinement step and investigate the usefulness of these objective functions. Their experimental results demonstrate that this algorithm produces clustering solutions that are consistently and significantly better than those produced by hierarchical clustering algorithms alone. Furthermore, their algorithm has the additional advantage of being extremely fast, as it operates on a sparse similarity matrix. The amount of time required by the algorithm ranged from 2 seconds for a data set with 358 items, to 80 seconds for a data set with 9,133 items on a Pentium II PC.
Propagation Model for the 900 MHz Almadar Aljadid Mobile Network at Tripoli Area Using Linear Regression Method

The accuracy of the predicted Received Signal Strength (RSS) is the key issue in the mobile network design. In the last decades many models invented to predict the RSS in specific locations. One of the most famous models is Hata model, which is developed originally based on measurements done in Tokyo – Japan. The objective of this paper is to modify Hata model at frequency band 900 MHz to match the environments of Tripoli area, the capital of Libya. The modifications was based on real measurements of the RSS which were conducted in the concerned area. The modified model is expected to be used during the designing phase of the mobile networks in the future. The measurements is collected in five types of areas (Dense Urban, Urban, Dense Suburban, Suburban and Rural). The regression method is used to modify the Hata model parameters to match the real measured values of RSS within an acceptable range of accuracy. The RMSE (root mean square error) was calculated and used as an assessment factor for the modified module. The modified module gives 4.7 to 23.6 dB improvement in the accuracy of predicting the path loss, i.e. (46.5% to 66.4%) of Hata model values.
Event Processing Network - A Conceptual Model

This paper presents a conceptual model of an event processing network for expressing the event-based interactions and event processing specifications among components. The model is based on EDA: Event-Driven Architecture, a pattern promoting the production, detection, consumption of, and reaction to events. This paper has been motivated by the lack of standardization in the areas of configuring and expressing the event processing directives in event-driven systems. Some existing approaches are through SQL-like languages, script languages, or rule languages and are executed by standalone software, messaging systems or data stream management systems. This paper is aimed at providing a step towards standardization through a conceptual model, making it possible to express event processing intentions independently to the implementation models and executions. It is a unified model serving as a meta-model to all approaches and can express anything that is expressed in these approaches. By transforming the conceptual model into specific models in messaging systems and data stream management systems, the paper measures the applicability of the proposed model against the specific implementation models as well as the completeness of the specific models in providing a proper event-driven architecture.
Robhand, un exoesqueleto de mano para la rehabilitación neuromotora aplicando terapias activas y pasivas

espanolPresentamos el planteamiento y estado actual de ejecucion de un proyecto que se esta realizando mediante la colaboracion de una empresa (CyL Imas D, Salamanca), dos centros asistenciales (Hospital Clinico Universitario de Valladolid y Corporacion de Rehabilitacion Club de Leones Cruz del Sur, Chile) y un centro de investigacion vinculado a una Universidad(Instituto Universitario ITAP, de la Universidad de Valladolid). El objetivo principal de este proyecto es la creacion, desarrollo, implantacion y pruebas clinicas de un nuevo prototipo de robot haptico activo para mantenimiento y rehabilitacion neuromotora de la mano en pacientes con dano cerebral adquirido. Se describe el planteamiento del proyecto, se hace una descripcion tecnica de los principales componentes del sistema y se resume su estado de ejecucion. EnglishWe present the basics and current state of execution of a project that is being carried out through the collaboration of a company (CyL Imas D, Salamanca), two healthcare centers (Hospital Clinico Universitario de Valladolid and Club de Rehabilitacion Club de Leones Cruz del Sur, Chile )and a research center linked to a University (ITAP University Institute, University of Valladolid). The main objective of this project is the creation, development, implementation and clinical trials of a new prototype of active haptic robot for maintenance and neuromotor rehabilitation of the hand in patients with acquired brain damage. The project approach is described, a technical description of the main components of the system is made and its execution status is summarized.
A RECOGNITION SYSTEM FOR HANDWRITTEN GURMUKHI CHARACTERS

This paper represent Handwritten Gurmukhi Character Recognition system using some statistical features like zone density, projection histograms , 8 directional zone density features in combination with some geometric features like area, perimeter, eccentricity, etc. The image document is first pre-processed by using many techniques like binarization, morphological operations (erosion and dilation) applied to remove noise and then segmented into isolated characters. The highest accuracy obtained by using these features and back propagation classifier is 98%.
A new small-size multi-mode and multi-task software radio prototype for future intelligent transport systems

We have newly developed a small-size software radio terminal that can realize Global Positioning System (GPS), vehicle information and communication system (VICS), electronic toll collection (ETC) system, AM/FM radio broadcasting services, FM multiplex broadcasting system and several modulation schemes such as BPSK, QPSK, GMSK, ASK, and /spl pi//4QPSK by downloading software that realizes each system from wired and wireless networks. The developed terminal realizes simultaneous multiple services when users would like to use several radio communication services in the driving situation by using our proposed multi-task algorithm. The small size and low electrical power consumption of the developed product make it acceptable for consumers such as car drivers. We introduce the configuration and key technologies of our developed terminal and measure the software download and configuration time.
32-Bit SIMD SHARC Architecture Digital Audio Signal Processing Applications

This paper examines desirable architectural features of a new 32-bit single-instruction multiple-data (SIMD) digital signal processor (DSP) based on a modified Harvard architecture for implementation of real-time professional and consumer audio applications. The discussion begins by covering important audio processor-specific characteristics of this SIMD architecture, such as native data-word size, dynamic range/signal-to-noise ratio capabilities, memory organization, processor speed, performance benchmarks, and input/output (I/O) capabilities. We will then highlight a couple of example DSP audio algorithms to demonstrate the benefits of such an architecture, which can speed up algorithmic execution by as much as a factor of 5 over earlier single-instruction single-data SISD super-Harvard architectures (SHARC).
Notice of Retraction A Lightweight Visual Approach to Teaching Formal Access Control Model for Computer Science Students

This paper presents the results in the area of Computer Science and Formal Methods Education. The result was an effort to study the formal method software tools into computer science student curriculum. Our purposes were to pioneer an innovative methodology that will increase the learning experience by introducing the use of mechanized approaches in teaching formal methods and to demonstrate the potential of graduate students for learning formal analysis techniques, by using these software tools. This methodology depends on the traditional teaching models and adds the use of automated software tools to enhance the student's learning experience. The result demonstrated increased student performance and understanding of difficult concepts in formal software analysis and design problems with the use of mechanized assistants.
La música com a eina per millorar el llenguatge en casos de retard del llenguatge

Music is a powerful tool in development and rehabilitation of language because of the relations between them. They are formed by basic units, sharing processing lines at brain level and they have a similar acquisition process. Taking these aspects into account, the efficiency of using music as a tool for language strengthen will be shown. In addition, it will be talked about educational music therapy as a means of children with speech problems or disorders. In the following work, a study of the benefits of music in language will be carried out, as well as an intervention to improve the speech on three years old children with delayed speech.
Mathematical problem solving system based on graph structure

Problem solving is a very important concept, not only as a teaching method, but also as part of the mathematics curriculum. Consequently, it is an aspect that needs to be focused on. The National Council of Teachers of Mathematics (NCTM) standards also emphasize the priority of problem solving skills in terms of including them in the teaching of mathematics and in teaching mathematics with problem-solving approach. Therefore, in this study, instead of memorizing solutions with formulae, it is suggested that students use a solution model based upon a graphical structure. In this study related to movement problems, firstly the problems associated with the issue are classified. Then, in the resulting classes generated in this way, 250 movement problems are analyzed using the solution model based upon a prepared graphical structure. Because the structure can solve the problem using both forward and backward chaining methods, it provides different solutions to the problems, if any, that are considered. Keywords: Problem solving, motion problems, graph model;