Miracle-dz/UniFAR-FTUs huggingface dataset:
Tutorial: Design and Optimization of Power Delivery Networks

The era of the Internet of Things (IoT) is upon us. In this era, minimizing power consumption becomes a primary concern for system-on-chip designers. While traditional power minimization and dynamic power management (DPM) techniques have been heavily explored to improve the power efficiency of devices inside very large-scale integration (VLSI) platforms, there is one critical factor that is often overlooked, which is the power conversion efficiency of a power delivery network (PDN). This paper is a tutorial that focuses on the power conversion efficiency of the PDN, and introduces novel methods to improve it. Circuit-, architecture-, and system-level approaches are presented to optimize PDN designs, while case studies for three different VSLI platforms validate the efficacy of the introduced approaches.
Neutrophil Gelatinase Associated Lipocalin Urin sebagai Deteksi Dini Acute Kidney Injury

Latar belakang. Penelitian terkini fokus pada identifikasi biomarker yang lebih dini untuk acute kidney injury (AKI). Salah satunya adalah neutrophil gelatinase associated lipocalin (NGAL), protein 25 kDa yang merupakan potensial biomarker dini untuk AKI. Tujuan. Melihat neutrophil gelatinase associated lipocalin (NGAL) sebagai biomarker dini untuk acute kidney injury (AKI). Metode . Penelitian kualitatif dengan desain uji diagnostik. Pengambilan sampel secara cross sectional dan consecutive sampling pada 50 orang anak, terdiri atas 28 sepsis dan 22 sepsis berat di ruang rawat intensif anak di RS. Cipto Mangunkusomo Jakarta dan RS. Wahidin Sudirohusodo Makassar. Hasil. Terdapat perbedaan sangat bermakna kadar NGAL urin dan kreatinin berdasarkan beratnya sepsis (p<0,001). Nilai rerata sepsis 132,93 ng/mL dan sepsis berat 2159,98 ng/mL. Terdapat perbedaan bermakna antara beratnya AKI menurut kriteria RIFFLE dengan beratnya sepsis (p=0,013). Tidak terdapat hubungan bermakna antara kadar NGAL urin dengan kriteria RIFFLE (p=0,173). Nilai sensitifitas NGAL urin 100% dan spesifisitas 63,63%, positive predictive value 27,27%, negative predictive value 100% dan area under curve (AuOC) 0,826. Kesimpulan . Neutrophil gelatinase associated lipocalin (NGAL) dapat dipakai sebagai skrining AKI.
A Digital Watermarking Algorithm for QR Code

The technology combined the 2D bar code with watermark is the hot topic of current research in security field.This paper presents a new digital watermark approach for the QR code.An invisible watermark is embedded in the QR code with the watermark technology,during the technology the DCT intermediate frequency coefficients is compared.In order to prevent QR code overflowing in the DCT domain of the image,to fuzzy and add noise in QR image.In order to resist image distortion after printing and scanning,the watermark is embedded repeatedly many times.The watermark is extracted using two maximum membership degree in fuzzy pattern recognition,not the original image.Experiment results have demonstrated the feasibility of the algorithm.
Preprocessing of A-scan GPR data based on energy features

There is an increasing demand for noninvasive real-time detection and classification of buried objects in various civil and military applications. The problem of detection and annihilation of landmines is particularly important due to strong safety concerns. The requirement for a fast real-time decision process is as important as the requirements for high detection rates and low false alarm rates. In this paper, we introduce and demonstrate a computationally simple, timeefficient, energy-based preprocessing approach that can be used in ground penetrating radar (GPR) applications to eliminate reflections from the air-ground boundary and to locate the buried objects, simultaneously, at one easy step. The instantaneous power signals, the total energy values and the cumulative energy curves are extracted from the A-scan GPR data. The cumulative energy curves, in particular, are shown to be useful to detect the presence and location of buried objects in a fast and simple way while preserving the spectral content of the original A-scan data for further steps of physics-based target classification. The proposed method is demonstrated using the GPR data collected at the facilities of IPA Defense, Ankara at outdoor test lanes. Cylindrically shaped plastic containers were buried in fine-medium sand to simulate buried landmines. These plastic containers were half-filled by ammonium nitrate including metal pins. Results of this pilot study are demonstrated to be highly promising to motivate further research for the use of energy-based preprocessing features in landmine detection problem.
Single‐View Modeling of Layered Origami with Plausible Outer Shape

Modeling 3D origami pieces using conventional software is laborious due to the geometric constraints imposed by the complicated layered structure. Targeting origami models used in visual content such as CG illustrations and movies, we propose an interactive system that dramatically simplifies the modeling of 3D origami pieces with plausible outer shapes, while omitting accurate inner structures. By focusing on flat origami models with a front‐and‐back symmetry commonly found in traditional artworks, our system realizes easy and quick modeling via single‐view interface; given a reference image of the target origami piece, the user draws polygons of planar faces onto the image, and assigns annotations indicating the types of folding operations. Our system automatically rectifies the manually‐specified polygons, infers the folded structures that should yield the user‐specified polygons with reference to the depth order of layered polygons, and generates a plausible 3D model while accounting for gaps between layers. Our system is versatile enough for modeling pseudo‐origami models that are not realizable by folding a single sheet of paper. Our user study demonstrates that even novice users without the specialized knowledge and experience on origami and 3D modeling can create plausible origami models quickly.
Efficient Implementation of the Event Calculus for Temporal Database Applications

Event Calculus is a powerful tool for temporal knowledge representation and reasoning. It provides a flexible framework for carrying out default temporal reasoning which lies at the heart of many interesting applications. However, the Event Calculus is very inefficient for developing practical applications with fast response time requirements. In this paper, we present an approach for developing efficient implementations of Event Calculus based temporal databases for applications such as Air Traffic Control and Flow Management.
A Survey of Opinion Mining for Texts

Opinion Mining is a novel and important research topic,aiming to automatically acquire useful opinioned information and knowledge in subjective texts.This technique has wide and many real-world applications,such as e-commerce,business-intelligence,information monitoring,public-opinion poll,e-learning,newspaper and publication compilation,business management,etc.In this paper,we give a definition for opinion mining and then describe the motivation of this research.Afterwards,we present a survey on the state-of-the-art of opinion mining on top of four subtasks:topic extraction,holder identification,claim extraction and sentiment analysis,followed by an overview of several existing systems.In addition,specific analysis on Chinese Opinion Mining is performed.Finally,we provide the summarization of opinion mining research.
The origins of order

1. Conceptual outline of current evolutionary theory PART I: ADAPTATION ON THE EDGE OF CHAOS 2. The structure of rugged fitness landscapes 3. Biological implications of rugged fitness landscapes 4. The structure of adaptive landscapes underlying protein evolution 5. Self organization and adaptation in complex systems 6. Coevolving complex systems PART II: THE CRYSTALLIZATION OF LIFE 7. The origins of life: a new view 8. The origin of a connected metabolism 9. Autocatalytic polynucleotide systems: hypercycles, spin glasses and coding 10. Random grammars PART III: ORDER AND ONTOGENY 11. The architecture of genetic regulatory circuits and its evolution 12. Differentiation: the dynamical behaviors of genetic regulatory networks 13. Selection for gene expression in cell type 14. Morphology, maps and the spatial ordering of integrated tissues
Interacting multiple model algorithm with maximum likelihood estimation for FDI

In this paper we propose an approach to detect, identify and estimate failures, including partial failures, in a dynamic system. The approach (IM/sup 3/L) uses the interacting multiple model (IMM) estimators to detect and identify total and partial failures and the maximum likelihood estimator (MLE) to estimate the extent of failure. It provides an effective and integrated framework for fault detection, identification and state estimation. The hierarchical structure of the fault model set for FDI is further addressed and a two-level hierarchical IMM (HIMM) is implemented. By using an aircraft example, the proposed IM/sup 3/L approach is evaluated and its performance is compared with those of the HIMM and autonomous MM (AMM). The robustness of IM/sup 3/L is analyzed in the presence of the uncertain noise statistics. The results show that the proposed approach provides not only fast detection and proper identification but also good estimation of the failure extent as well as robust state estimation.
Musculoskeletal Health Questionnaire: translation, cultural adaptation and validation of the Italian version (MSK-HQ-I)

LEVEL OF EVIDENCE: 2b SUMMARY Background: Skeletal muscle disorder refers to a pathological condition and/or pathology, (e.g. osteoarthritis, inflammatory disorders, and muscular, articular or bone disorders) that involve all the skeletal muscle districts of the body. Musculoskeletal pain (MSD or MSK) is the biggest cause of disability. Objective: The purpose of this study was to translate, culturally adapt and validate an Italian version of the Musculoskeletal Health Questionnaire (MSK-HQ-I) by administering the questionnaire to a sample of 250 individuals with musculoskeletal disorders through a cross-sectional study. Methods: Participants enrolled in this study were those aged 18 and older with pathological diagnoses reporting skeletal muscle disorders. International guidelines were used to translate and culturally adapt the MSK-HQ-I tool. Internal consistency and test-retest reliability of the scale have been evaluated using Cronbach’s alpha and Intraclass Correlation Coefficient (ICC), respectively. To assess concurrent and construct validity, the 12-Item Short Form Survey (SF-12), the EuroQol five-dimension (EQ-5D-3L), the Visual Analog Scale (VAS) and the MSK-HQ-I were administered together. The Pearson’s correlation coefficient was also calculated. Results: All the MSK-HQ-I items were identical or similar to the original English version of the MSK-HQ developed in the United Kingdom. The mean MSK-HQ-I score in this study was 37.39±9.35. Cronbach’s α was 0.871 (p < 0.01) and ICC was 0.963 (p < 0.01). The correlation with the SF-12 mental score was 0.319 (p < 0.01) and with the SF-12 physical score was 0.703 (p < 0.01). The correlation with the EQ-5D-3L score was 0.674. The correlation with the EQ-5D-3L VAS score was 0.537. Finally, the correlation with the Visual Analog Scale (VAS) was -0,656 (p < 0.01). Conclusions: The MSK-HQ-I has shown consistent results for reliability and validity. The scale will be useful for medical doctors, researchers and physiotherapists to evaluate and control musculoskeletal disorders among the Italian population.
Design of Universal Frequency Divider Based on FPGA

The design of any coefficient frequency divider based on FPGA is introduced in this paper.The frequency divider which can realize different duty cycle and random coefficient is studied in this paper.It includes integer frequency divider and decimal frequency divider and fraction frequency divider.Depending on the VHDL realization of the algorithm the design has high design flexibility.And their waveforms are given too.The divider has no signal competition and uses less LE.What′s more,it can be easily transplanted.Experiments and hardware test data on Altera EP2C35 chip of Cyclone II series are given to show that the design is successful.Because frequency divider has wide applications,the design is very practical.
Using Data Mining Technique to Establish Case Base from Weather Database

The knowledge representation in Case-Based Reasoning is based on cases. At present,a most important task in Case-Based Reasoning is how to establish effective Case Base. In some areas, past records were usually well documented and related databases were established, but they are all just simple record of real observation or the working status . We use data mining technique to tackle this case acquisition problem and discover cases from agriculture weather databases to establish case base.
THE DETERMINANTS OF SALES AND ASSETS GROWTH ON HO CHI MINH CITY LISTED FIRMS

This research aims at identifying factors affecting the sales and assets growth of listed firms on Ho Chi Minh City Stock Exchange. The data were collected from 130 firms during 2008-2013. The study results showed that factors affecting the firms growth includes return on equity, leverage, firm size, firm age and governmental ownership. The average growth rates of sales and assets are 17,4% and and 17,3% respectively.
Culture Dependent and Metagenomic study of Microbial Diversity of Glaciers in HKKH (Hindu Kush, Karakoram and Himalaya) mountain range

There is not any report available on the microbial communities of glaciers in Hindu Kush region, Chitral, Pakistan. This is the first exploration of the culturable cold adapted bacterial diversity of Tirich Mir glacier. Subsurface ice, sediment and glacier melt water samples were collected and analyzed geochemically and microbiologically. The average total viable count was 6.09 × 10, 4.39 × 10, 1.81 × 10 CFU/ml and 4.01 × 10 CFU/g for glacier melt water, subsurface ice, glacier ice and glacial sediment, respectively. Total 43 isolates were selected on the basis of morphology. Most of the isolates (74%) showed tolerance up to 10% of NaCl concentration, while the maximum tolerance showed by some isolates was up to 36% NaCl. Most of the isolates were able to grow at 4°C and 15°C, while some showed growth at 25°C and 37°C. Most of the isolates were able to tolerate different toxic metals like Cd, Cr, Hg, Fe, Ar and Ni. The highest resistant was against Fe, and least against Hg. Many isolates showed antimicrobial activity against ATCC and clinically isolated Gram positive and Gram negative bacteria and fungi. 16S rDNA sequence analysis revealed that all isolates belong to Proteobacteria, Firmicutes, Actinobacteria and Bacteroidetes. The most abundant group was Proteobacteria with 53% of the total isolates, followed by Firmicutes with 23%, Actinobacteria with 15% and Bacteroidetes with 9%. The subgroups of Proteobacteria were dominated by Beta-proteobacteria (44%), Gamma-proteobacteria (40%) and Alpha-proteobacteria (16%). We conclude that non-polar glaciers such as of HKKH region, are a rich source of cultivable microbiota, such unexplored cold and frozen habitat should be further explored for understanding the microbial life style, microbial diversity both culturable and unculturable, the role they are playing in cycling of nutrients, climate change and for their potential industrial applications.
Where Settlements and the Landscape Merge: Towards an Integrated Approach to the Spatial Dimension of Social Relations

The separation between ‘settlement’ and ‘landscape’ is deeply entrenched in European thought and also in the worldview of many agrarian societies. In anthropology this is reflected in the distinct development of an anthropology of landscape on the one hand and an anthropology of built forms. The comparative use of permeability maps is introduced in this chapter as a promising route towards cross-fertilisation between these two hitherto separate bodies of theory and data. Permeability, the ways in which space allows or prevents humans from passing through places, is particularly relevant for our understanding of the fuzzy zone where settlements and the landscape merge. More generally, permeability maps help us to explore a more dynamic view of the relationship between spatial and social relations because they allow us to consider what one may call the ‘social agency of space’. The case material presented in this chapter was collected in the course of field research with ≠ Akhoe Hai//om ‘San’ or ‘Bushmen’ and their neighbours in northern Namibia but an explicit comparative perspective is taken that leads beyond this region.
Banks Election Solving Method Based on Answer Set Programming

Banks election using a heuristic algorithm has the problem that the efficiency is low in the implementation,so this paper proposes a solving method based on Answer Set Programming(ASP). It establishes the mapping from Banks election problem to the ASP problem,writes the corresponding ASP,calls the answer set solver to solve,and each ASP model obtained is a solution of the Banks election problem.Experimental results show that when the problem size is 200,the solving time of this method is 4.196 s,solving efficiency is better than that of manual heuristic method.
Three-Layer Feed Forward Artificial Neural Network Global Optimum Approach

In this paper, a more effective method that called Multi Complexes Evolution Algorithm for Constraint Nonlinear Optimization Problems is presented. This new method can use the information of the objective function, the searching process for optimization of the method is directional and objective. This new method is a global optimization method. Multi Complexes Evolution Algorithm is applied to three layer feed forward artificial neural network, and the algorithm of three layer feed forward artificial neural network global optimum approach is presented. Several cases is studied, the validity of the algorithm of three layer feed forward artificial neural network global optimum approach is comfirmed.
Konvergencia és felzárkózás az euróövezetben

A konvergencia az europai integracio alapvető mechanizmusa, a tarsadalmi-gazdasagi kohezio előfeltetele. A konvergencia es a felzarkozas kiemelkedő jelentősegű temakorok a novekedesi elmelet es a novekedesi politika, igy a strukturalis reformok tekinteteben is. A konvergencia mint sokdimenzios folyamat alapvető a GMU műkodese es fejlődese tekinteteben. A konvergencia kulonboző dimenzioi lenyeges makrookonomiai osszefuggeseket, atvaltasi (trade off) kapcsolatokat hordoznak. A legutobbi valsag tapasztalatai szerint a strukturalis (a rugalmasabb gazdasagi strukturak iranyaban tortenő) konvergencia kulcsfontossagu a GMU hatekony műkodese, azon belul a termelekenyseg előmozditasa tekinteteben. * Journal of Economic Literature (JEL) kod: E60, F15, F43, F45, O11, O43, O47.
Exploration and Reflection of College Mobile Application Development

Mobile technology represents a profound evolution in the way people connect to information resource and services in colleges.It's important to make a good solution for developing and improving college mobile applications.Based on the analysis of current college applications,this article introduces the building target and content of college mobile application,analyzes the differences on native development and mobile network development,proposes a mixed development mode based on HTML5,and makes recommendations on building feasible college mobile application framework.
On The Graduation of the Rates of Sickness and Mortality Presented by the Experience of the Manchester Unity of Oddfellows during the period 1893–97

In considering the various methods of graduation open to us, we were impressed, having regard to the large number of series to be dealt with, by the great facility and rapidity with which formulae of summation can be applied with the certainty that the results obtained will conform closely to the unadjusted facts. For the Sickness Tables the summation method is especially suitable, since the average number of weeks (or rate) of sickness at any age is necessarily separable for practical purposes into “periods of attack”, e.g. , in the case of the Manchester Unity Experience, 1893–97, “First 3 Months”, “Second 3 Months”, “Second 6 Months”, “Second 12 Months,” and “After 2 years”, the successive values of each of which must form a regular series, whilst the sum of any two sections forming a “period of attack” in general use ( e.g. , First 6 Months = First 3 Months + Second 3 Months) must be equally regular in progression. It is obvious that if a summation method be adopted, and the same formula be used throughout , a combination of any two or more of the graduated series will be itself a graduated series, and will, indeed, be identical with the result of an independent graduation of the combined unadjusted rates.
Statistical and semantic analysis of rumors in Chinese social media

In this study, we collect a large number of rumors from Sina Weibo, and analyze them from different perspectives. We study the influence of rumors from a quantitative perspective, as well as their beginning and ending. From a semantic analysis perspective, we manually classify the rumors into five categories based on the semantic information. Then, we train a classifier to classify the rumors automatically. From a timing perspective, we manually classify the rumors into four categories based on the forward trends. Then, we find the propagation tendency of rumors. Finally, we propose a rumor-recognition system, which combines machine intelligence and swarm intelligence.
Research on Method About Relational Database Storing OWL Ontology

OWL is a language that depicts semantics of ontology. It not only provides the strong semantic expression,but presents content that computer can be understandable. In the area of storage and managing megadata,the relevant techniques of relational database are matured. In this paper,the advantages of both are fully taken. It puts forward a storage model of relational database storing OWL ontology,which means that it can achieve a balance between storing megadata and maintaining the semantic integrity that renders relational database storing OWL ontology not only can store megadata,but also maximum maintain the semantic integrity.
System Approach to MIS and DSS and its Modeling within SD

In this chapter, the authors discuss system dynamics (SD) as a research methodology in Information Systems (IS). The goal is to demonstrate the usefulness of SD methodology in research and its implementation in IS and management Information Systems (MIS). The authors briefly discuss the fundamentals of SD methodology models and causal loop diagrams (CLD) as well as model validation. The usefulness of this transdisciplinary methodology has been demonstrated with the case of the quality of IS success and satisfaction. Some examples of modeling for public decision assessment of sustainable development as well as inventory control using SD have been demonstrated. The advantage of SD is in its natural language problem definition, which can be easily transformed into a directed graph that is convenient for qualitative and quantitative analysis in computer programs. SD enables studying the behavior of complex dynamic systems as the feedback processes of reinforcing and balancing loops. DOI: 10.4018/978-1-4666-0179-6.ch017