Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance of neural network architectures: Cascaded MLP versus extreme learning machine on cervical cell image classification

In Malaysia, the screening coverage for cervical cancer is poor, which was at 2% in 1992, 3.5% in 1995, and at 6.2% in 1996, due to the shortage in pathologist workforce being one of the major cause. Study has been done before to overcome this by developing a diagnosis system based on neural networks, so that diagnosis can be done by an automated system with pathologist-like knowledge. Cell's features were used as input to the neural network architecture, and cell's classification into NORMAL, Low-Squamous Intraepithelial Lession (LSIL), or High-Squamous Intraepithelial Lession (HSIL) were used as output target. This paper focused on finding the best neural network to be used as classifier tool for cervical cancer diagnostic system with cervical cells' features as input. Two architectures of neural network system were proposed; Cascaded Multilayered Perceptron (c-MLP) and Extreme Learning Machine (ELM). Result suggests that all the features selected which are area, grey level, perimeter, red, green, blue, intensity1, intensity2 and saturation are more suitable to be used with c-MLP neural network architecture compared to ELM, with the accuracy of 96.02%.
LINKLESS AND FLAT EMBEDDINGS IN 3-SPACE IN QUADRATIC TIME

We consider embeddings of graphs in the 3-space R (all embeddings in this paper are assumed to be piecewise linear). An embbeding of a graph in R 3 is linkless if every pair of disjoint cycles forms a trivial link (in the sense of knot theory), i.e., each of the two cycles (in R) can be embedded in a closed topological 2-disk disjoint from the other cycle. Robertson, Seymour and Thomas [38] showed that a graph has a linkless embedding in R if and only if it does not contain as a minor any of seven graphs in Petersen’s family (graphs obtained from K6 by a series of YΔ and ΔY operations). They also showed that a graph is linklessly embeddable in R if and only if it admits a flat embedding into R, i.e. an embedding such that for every cycle C of G, there exists a closed disk D ⊆ R with D ∩ G = ∂D = C. Clearly, every flat embeddings is linkless, but the converse is not true. We consider the following algorithmic problem associated with embeddings of graphs in R: Flat and Linkless Embedding Input: A graph G. Output: Either detect one of Petersen’s family graphs as a minor in G or return a flat (and linkless) embedding in the 3-space. The first conclusion is a certificate that the given graph has no linkless and no flat embeddings. In this paper we give an O(n) algorithm for this problem. Our algorithm does not depend on minor testing algorithms.
Optimal and robust control of transitionBy

Optimal and robust control theories are used to determine feedback control rules that eeectively stabilize a linearly unstable ow in a plane channel. Wall transpi-ration (unsteady blowing/suction) with zero net mass ux is used as the control. Control algorithms are considered that depend both on full owweld information and on estimates of that owweld based on wall skin-friction measurements only. The development of these control algorithms accounts for modeling errors and measurement noise in a rigorous fashion; these disturbances are considered in both a structured (Gaussian) and unstructured (\worst case") sense. The performance of these algorithms is analyzed in terms of the eigenmodes of the resulting controlled systems, and the sensitivity of individual eigenmodes to both control and observation is quantiied.
Is it ok to care? How compassion falters and is courageously accomplished in the midst of uncertainty

This article elaborates the organizational literature’s process theory of compassion – an empathic response to suffering – which falls short of adequately explaining why and how compassion unfolds readily in some workplace situations or settings but not in others. We address this shortcoming by calling attention to the basic uncertainty of suffering and compassion, demonstrating that this uncertainty tends to be particularly pronounced in organizational settings, and presenting propositions that explain how such uncertainty inhibits the compassion process. We then argue that understanding the accomplishment of compassion in the midst of uncertainty necessitates regarding compassion as an enactment of courage, and we incorporate insights from the organizational literature on everyday courageous action into compassion theory. We conclude with a discussion of implications in which we underscore the importance of organizational support for the expression of suffering and the doing of compassion, and we also consider directions for future research.
A novel approach for extraction and representation of main data from web pages to Android application

World Wide Web is the largest and richest information repository available today. The enormous growth of web makes large scale analysis difficult. An automated method is needed for analyzing and extracting knowledge from the web, along with samples of the knowledge that can be extracted, without user intervention. Data mining techniques are applied to extract knowledge from web data. Web data is text, image, records, hyperlinks, tags et. Rich Site Summary (RSS) is a way to get briefed items on a website as the web site gets updated, and these are called feeds. A feed is often a series of headlines and brief summaries of all the articles published on a web page. Instead of having to visit numerous web sites to get weather, sports, latest gossip, or latest political debates etc, just go to the mobile application and see it combined and aggregated into a single window with a good user interface. An application is developed for the popular mobile platform Android.
B U R N O U T A N D SPI R I T U A L I N C O N G R U E N C E A n evidence-based counselling model for Buddhist C haplains

3 Burnout and Spiritual Incongruence 6 Perspectives of Burnout 6 A history of burnout. 6 Impact of burnout dimensions on work-life experience. 10 Burnout and value congruence. 11 Spirituality and Health 13 Religion, spirituality, and health. 13 Spiritual well being – a tautology in a dimension of health. 17 Buddhist Principles of Burnout and Engagement 20 The Buddha’s story as burnout and recovery. 20 The Buddha’s new job. 23 Ethics of livelihood and the koan of work engagement. 25 Purpose of the Current Study 28 Spiritual congruence as value congruence. 28 Buddhist principles and perspectives of burnout. 28 Method 29 Description 29 Overview. 29 Hypotheses. 29 Participants 30 Measures 31 Burnout. 31 5 Spiritual Well Being. 31 Data Analysis. 32 Results 33 Sample Description 33 Ideal and Actual Spiritual Well Being Scores 34 Correlations of Burnout and Spiritual Incongruence Factors 35 Spiritual Incongruence Scores 36 Effect Size for Spiritual Incongruence 37 Conclusions 38 A Buddhist perspective of burnout 38 Personal values alignment and managing distress 40 The role of the Chaplain in treating burnout 43 Striking at the heart of our assumptions of burnout 46 Resolving the duality of work and personal life: A Buddhist model for counselling 48 References 51 Appendix A 61 Appendix B 62
A course on MIMO time delay process control from practice

Under the perspective of a control education bridging the gap between theory and practice, this paper presents the control challenges for a MIMO time-delay process (a laboratory plant based on a heat-exchanger). Diagonal and full matrix control strategies are exposed taking into account performance limitations of feedback control and non-minimum phase plants.Then, certain implementation issues are discussed with experimental data to improve the performance; saturation effects, anti-wind up structures, linear operating ranges, decoupling benefits, or limit cycle oscillations are some of them.
NATURAL LANGUAGE PROCESSING FOR REQUIREMENTS ENGINEERING : APPLICABILITY TO LARGE REQUIREMENTS DOCUMENTS

This paper describes a case study on application of natural language processing in very early stages of software development. At this early stage it is very important for the domain expert (who is, most probably, the future user) and the software expert to define a common language, understood by both of them. To define such a common language, we extract terms from the text written by domain expert, classify these terms and build a domain ontology using them. In our previous work [11] we experimented with applicability of the approach to small requirements documents. It turned out that manual work is also necessary to extract information from requirements document. This gave rise to the question whether the same approach also works for larger documents. In this paper we present a case study on the extraction of the ontology from a larger document. The case study shows that the approach works for larger documents as well and the cost (in the sense of time consumption) is reasonable.
Excitation thresholds for nonlinear localized modes on lattices

We consider spatially localized and time periodic solutions to discrete extended Hamiltonian dynamical systems (coupled systems of infinitely many 'oscillators' which conserve total energy). These play a central role as carriers of energy in models of a variety of physical phenomena. Such phenomena include nonlinear waves in crystals, biological molecules and arrays of coupled optical waveguides. In this paper we study excitation thresholds for (nonlinearly dynamically stable) ground state localized modes, sometimes referred to as 'breathers', for networks of coupled nonlinear oscillators and wave equations of nonlinear Schr ¨ odinger (NLS) type. Excitation thresholds are rigorously characterized by variational methods. The excitation threshold is related to the optimal (best) constant in a class of discrete interpolation inequalities related to the Hamiltonian energy. We establish a precise connection amongd, the dimensionality of the lattice, 2 + 1, the degree of the nonlinearity and the existence of an excitation threshold for discrete nonlinear Schr ¨ odinger systems (DNLS). We prove that if > 2 , then ground state standing waves exist if, and only if, the total power is larger than some strictly positive threshold, thresh. ;d/. This proves a conjecture of Flach et al (1997 Energy thresholds for discrete breathers in one-, two-, and three-dimensional lattices Phys. Rev. Lett. 78 1207-10) in the context of DNLS. We also discuss upper and lower bounds for excitation thresholds for ground states of coupled systems of NLS equations, which arise in the modelling of pulse propagation in coupled arrays of optical fibres.
Atomic layer deposition of hafnium oxide on germanium substrates

Germanium combined with high-κ dielectrics has recently been put forth by the semiconductor industry as potential replacement for planar silicon transistors, which are unlikely to accommodate the severe scaling requirements for sub-45‐nm generations. Therefore, we have studied the atomic layer deposition (ALD) of HfO2 high-κ dielectric layers on HF-cleaned Ge substrates. In this contribution, we describe the HfO2 growth characteristics, HfO2 bulk properties, and Ge interface. Substrate-enhanced HfO2 growth occurs: the growth per cycle is larger in the first reaction cycles than the steady growth per cycle of 0.04nm. The enhanced growth goes together with island growth, indicating that more than a monolayer coverage of HfO2 is required for a closed film. A closed HfO2 layer is achieved after depositing 4–5HfO2 monolayers, corresponding to about 25 ALD reaction cycles. Cross-sectional transmission electron microscopy images show that HfO2 layers thinner than 3nm are amorphous as deposited, while local epita.
Computational model of social interaction in multiagent simulation based on personality traits

This paper presents model of social interaction in multi-agent simulation on the basis of the model of personality traits. The goal of this study is to investigate behavioral movement in architectural design simulation. Personality traits used in this model influence behavioral movements of the agents toward group formation. We modeled force of attraction and force of repulsion as key drivers for such purpose. The force of attraction and the force of repulsion depend on the level of Extraversion trait to represent the dynamic characteristic of personal distance. The model of intension for group formation is by means of social interaction level which depends on Agreeableness trait. Experiments showed implementation of these models in multi agent simulation using basic detection method on movement and direction. As result, the personality traits-driven model can provide heterogeneity and flexibility for social interaction that demonstrate human behavioral movements.
Robust vehicle detection using 3D Lidar under complex urban environment

Robust vehicle detection is one of the key task for autonomous vehicle under the complex urban environment. Using 3D Lidar, the difficulty of the task lies in that the appearance of a vehicle in the sparse range data changes greatly with the distance, the angle of view, as well as occlusions. In this paper we present a new algorithm to detect vehicles using the finely segmented 3D object points. In segmentation, RGLOS (Ring Gradient based Local Optimal Segmentation) algorithm is proposed. Instead of processing in the grid map, the point-wise segmentation method keeps the connection between points and is able to extract object points in far distance. Using the local optimal ground height, it produces much more correct object points with less wrong ground points. In feature extraction stage, three novel features: position-related shape, object height along length and reflective intensity histogram are proposed. Finally the kernel based SVM is used to finish the classification task. Experiments are carried out using the real data acquired from urban environment. The results demonstrate the superior performance comparing with previous methods, thanks to the improved segmentation and new features.
Thyroxine replacement attenuates hypothyroxinemia, hearing loss, and motor deficits following developmental exposure to Aroclor 1254 in rats.

The nervous system is dependent upon thyroid hormones for normal development, and we previously reported that developmental Aroclor 1254 (A1254) exposure caused hypothyroxinemia, hearing loss and other behavioral changes in rats. (Goldey et al., 1995a; Herr et al., 1996). The hypothesis that A1254-induced hypothyroxinemia may have contributed to the observed functional changes was tested in primiparous Long-Evans rats given daily oral doses of corn oil (control) or 8 mg/kg of Aroclor 1254 from gestation day (GD) 6 through postnatal day (PND) 21. In addition, from PND 4 to PND 21, all pups in one-half of the litters received daily, subcutaneous injections of saline or 100 micrograms/kg thyroxine (T4), to yield four groups of litters: corn oil plus saline (CO-S),. corn oil plus T4 (CO-T4), Aroclor 1254 plus saline (PCB-S), and Aroclor 1254 plus T4 (PCB-T4). We measured thyroid hormone concentrations (T4 and T3) in serum collected from 7-, 14-, and 21-day-old pups. The kinetics of the injected T4 were also monitored in the CO-T4 and PCB-T4 groups on PND 7 and 21 by measuring T4 and T3 at 1, 3, 5, 8, and 24 h after injection. Circulating T4 concentrations were dramatically depleted in the PCB-S group relative to CO-S. The kinetics study indicated that T4 therapy raised circulating T4 concentrations following in the PCB-T4 pups to near CO-S concentrations, but only for approximately 6 h postinjection, and T4 concentrations fell precipitously thereafter to near PCB-S concentrations. In accord with previous studies, PCB-S pups showed early eye opening, an effect which was exacerbated by T4 injection (in both the CO-T4 and the PCB-T4 groups). Motor activity (figure-eight maze) testing also replicated our finding of an age-dependent, transient reduction in motor activity on PND 15 that was significantly attenuated in the PCB-T4 group. Similarly, we again found reduced acoustic startle amplitudes on PND 23 and low-frequency (1 kHz) hearing loss in animals tested as adults (the latter determined by reflex modification audiometry). Importantly, the hearing loss at 1 kHz in PCB-exposed animals was significantly attenuated by T4 replacement therapy. These data suggest the hypothesis that hypothyroxinemia is involved in PCB-induced alterations in motor and auditory function, while other effects (e.g., eye opening) appear to have a different mechanism of action.
Anchoring pockets in human histocompatibility complex leukocyte antigen (HLA) class I molecules: analysis of the conserved B ("45") pocket of HLA-B27

Dissection of the peptide binding grooves of seven subtypes of human histocompatibility leukocyte antigen (HLA)-B27 into the six specificity pockets defined by the 2.6-A structure of HLA-A*0201 revealed just one pocket, the B ("45") pocket, that is conserved among all the HLA-B27 subtypes. Functional studies of mutant HLA-B*2705 molecules with point substitutions in residues of the B pocket show that this structure, and the glutamine residue at position 45 in particular, plays a critical role in cell surface expression, peptide binding, and in the presentation of both exogenous and endogenous peptides by HLA-B*2705. We predict that the B pocket of HLA-B*2705 interacts with an amino acid side chain that anchors peptides in the binding groove, and that this peptide motif is present in most endogenously processed peptides that bind to all seven subtypes of HLA-B27.
On generalized estimating equations for vector regression

Generalized estimating equations (GEE; Liang & Zeger 1986) for general vector regression settings are examined. When the response vectors are of mixed type (e.g. continuous-binary response pairs), the GEE approach is a semiparametric alternative to full-likelihood copula methods, and is closely related to the mean-covariance estimation equations approach of Prentice & Zhao (1991). When the response vectors are of the same type (e.g. measurements on left and right eyes), the GEE approach can be viewed as a "plug-in" to existing methods, such as the vglm function from the state-of-the-art VGAM R package of Yee (2015). In either scenario, the GEE approach offers asymptotically correct inferences on model parameters regardless of whether the working variance-covariance model is correctly or incorrectly specified. The finite-sample performance of the method is assessed using simulation studies based on a burn injury dataset (Song 2007) and a Sorbinil eye trial dataset (Rosner et. al 2006). The method is applied to data analysis examples using the same two datasets, as well as on a presence/absence dataset on three plant species in the Hunua ranges of Auckland.
The specification language KARL and its declarative semantics

The Knowledge Acquisition and Representation Language (KARL) combines a description of a knowledge-based system (kbs) at the conceptual level (a so-called model of expertise ) with a description at a formal and executable level. It is a specification language which allows the precise and unique description of a kbs independently from implementational details. In the paper, KARL is mainly discussed as a formal language. That is, the paper introduces a formal semantics for KARL. Because KARL allows the representation of static and dynamic (i.e., procedural) knowledge, its semantics must integrate both types of knowledge. First, an objectoriented logic L-KARL was developed which can be used to specify static knowledge. Second, dynamic logic was used to develop P-KARL for specifying knowledge about dynamics. Third, both languages had to be combined to represent a complete model of expertise. As a result, the integrated description of static and dynamic knowledge based on a well-defined declarative framework becomes possible. In Proceedings of the Workshop on Information systems Correctness and Reusability (IS-CORE), Amsterdam, September 27-30, 1994.
Management of hepatitis B: Summary of a clinical research workshop

Chronic hepatitis B is caused by persistent infection with the hepatitis B virus (HBV), a unique DNA virus that replicates through an RNA intermediate produced from a stable covalently closed circular DNA molecule. Viral persistence appears to be due to inadequate innate and adaptive immune responses. Chronic infection has a variable course after several decades resulting in cirrhosis in up to one‐third of patients and liver cancer in a proportion of those with cirrhosis. Sensitive assays for HBV DNA levels in serum have been developed that provide important insights into pathogenesis and natural history. Therapy of hepatitis B is evolving. Peginterferon induces long‐term remissions in disease in one‐third of patients with typical hepatitis B e antigen (HBeAg) positive chronic hepatitis B, but a lesser proportion of those without HBeAg. Several oral nucleoside analogues with activity against HBV have been shown to be effective in suppressing viral levels and improving biochemical and histological features of disease in a high proportion of patients with and without HBeAg, at least in the short term. What is uncertain is which agent or combination of agents is most effective, how long therapy should last, and which criteria should be used to start, continue, switch or stop therapy. Long‐term therapy with nucleoside analogues may be the most appropriate approach to treatment, but the expense and lack of data on long‐term safety and efficacy make recommendations difficult. Clearly, many basic and clinical research challenges remain in defining optimal means of management of chronic hepatitis B. (HEPATOLOGY 2007;45:1056–1075.)
Multiple Multi-Objective Servo Design - Evolutionary Approach

Design of control systems is characterised by many targets, therefore the methods enabling optimisation of several objectives have received more and more attention over the past years. When dealing with multi-objective optimisation problems the notion of the scalar function optimality was extended. The most common approach was originally proposed in 19th century by Edgeworth and later generalised by Pareto. This trade-off approach means no element of the vector of optimal solution, so called Pareto optimal solution, can be improved without making some other criteria worse. There are many different notions of dominance. One of them is so called weak Pareto dominance relation which is defined as follows :