Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Haar-like Features in Three AdaBoost Algorithms for Face Detection

In this paper we introduce a proposed cascade classifier system consists of five strong classifiers (stages), and empirically analysis three types of Adaboost algorithms (Real, Modest, and Gentle) which it were used for boosting the strong classifiers. Five prototypes of haar-like features (two-horizontal rectangles, two-vertical rectangles, three-horizontal rectangles, three-vertical rectangles, and four-rectangles) are used for each strong classifier (stage) of cascade classifier. Two-horizontal, two-vertical rectangles features and Modest-Adaboost Algorithm are applied for the 1st and 2nd strong classifier respectively, three-horizontal, vertical-rectangles features and Real-Adaboost Algorithm are applied for 3rd and 4th strong classifier respectively, and the last, four-rectangles and Real-Adaboost Algorithm are applied for the 5th strong classifier of cascade classifier. The implementation shows that the best use of Adaboost algorithm is: the Modest-Adaboost algorithm for both 1st and 2nd strong classifier, and the Real-Adaboost algorithm for 3rd,4th and 5th strong classifier.
Implementing context management in forensic casework : Minimizing contextual bias in firearms examination

Managing contextual information in forensic casework aims to minimize the task-irrelevant information while maximizing the task-relevant information that reaches the examiner. Any particular forensic domain will require its own context management system and this paper describes the design and implementation of context management for minimizing bias in forensic firearms and ammunition examination. Guided by a categorization of different sources of contextual information, a flow-chart was constructed that specifies the process of casework examinations and context management. Despite these measures, another examiner may need to be involved when context management fails and the risk of bias is real. Application of this context management system does not make a subjective examination objective, but can limit the risks of bias with a minimal investment of time and resources.
Rolling Bearing Fault Analysis by Interpolating Windowed Discrete Fourier Transform Algorithm

This paper focuses on the problem of accurate Fault Characteristic Frequency (FCF) estimation of rolling bearing. Teager-Kaiser Energy Operator (TKEO) demodulation has been applied widely to rolling bearing fault detection. FCF can be extracted from vibration signals, which is pre-treatment by TEKO demodulation method. However, because of strong noise background of fault vibration signal, it is difficult to extract FCF with high precision. In this paper, the improved algorithm of rolling bearing fault diagnosis is analyzed. Based on the envelope analysis by TKEO demodulation, it combines zero padding technique and the Improved Iterative Windowed Interpolation DFT (IIWIpDFT) algorithm to correct demodulated signal. Experimental result shows that the proposed algorithm decreases Root Mean Square Error (RMSE) of FCF(inner race) form about 2Hz~5.5Hz to about 0.5Hz for short data length, the same treatment also decreases RMSE form about 1.1Hz~3Hz to about 0.4~0.5Hz for longer data length in most cases. Meanwhile, the RMSE of FCF (outer race) improved 2.3 to 84.5% as compared to the application of traditional TEKO demodulation alone. doi: 10.5829/ije.2019. 32.01a. 16
Impact of Congenital Heart Disease at Adulthood

textabstractSince the first surgical techniques for patients with congenital heart disease (ConHD) became available some 55 years ago, virtually every area of patient care has evolved substantially. These improvements lead to an increased survival for patients with ConHD, with over 90% of infants reaching adulthood. This increased survival lead to a shift of focus in that congenital heart disease at adult age nowadays is considered a chronic disease. Therefore, current research does not only focus on survival, but also on the quality of life of these patients. The term quality of life is broad and encompasses many dimensions of life, including – but not limited to – living conditions, wealth and employment, physical and mental health, education, leisure time, psychosocial functioning, lifestyle and social adaptation. In order to investigate the impact of living with a congenital heart defect at adulthood, the aims of this thesis were threefold; 1) To investigate the impact on biographical characteristics 2) To investigate the impact on psychological aspects 3) To investigate the impact on medical aspects
Shape-controlled agglomeration of TiO 2 nanoparticles . New insights on polycrystallinity vs . single crystals in photocatalysis

The photocatalytic activity of TiO2 photocatalysts depends mainly on its crystal phase composition, primary particle size and specific surface area. Shape manipulation is an interesting way to increase the photocatalytic efficiency. The shape-tuning can be carried out at different levels, both at single crystal and polycrystalline agglomeration levels. The aim of our present study was to compare the structural and photocatalytic performances of two type/level of crystal organization of TiO2, namely single crystal shaping vs. polycrystalline/shape tailored agglomeration. The morphological analysis was achieved by XRD, SEM, TEM, Raman spectroscopy, DRS. The photocatalytic performance of the materials was evaluated by the degradation of a model pollutant (phenol). It was found, that both shape manipulating approaches bear the necessary potential which can be exploited in future development of efficient photocatalysts’ synthesis procedures. & 2015 Elsevier Ltd and Techna Group S.r. l. All rights reserved.
Calibrating Energy Performance Model of a Hospital Building: Dealing with Practical Issues of Data Availability and Granularity in a Case Study Building in the UK

Calibration of energy models is mathematically a highly-parameterized and under-determined problem. Hospitals are energy intensive buildings that have complex and varying specifications for their functions and operations. Calibration of energy models of hospitals is further challenging due to difficulties such as base-load estimation and end-use disaggregation of a 24-hour running facility’s measured energy use (specially end-uses such as specialist equipment and plug loads). This paper attempts to calibrate the energy model of a hospital building in the UK. Along with design stage building construction documentation, on-site observations and semi-structured stakeholder interviews, energy and Indoor Environmental Quality (IEQ) data is collected for a period of one year. A calibrated energy model is then used to quantify the effects of the observed energy performance gap issues found in the building. The energy and IEQ for the building are compared against design stage targets and industry benchmarks. The paper also reflects on practicalities of data collection such as shortcomings in metering, monitoring and observations that could be addressed for model calibration in hospitals.
Authentication of Secure Data Transmission In Wireless Routing

The major objective of our work is to explore a security enhanced dynamic routing algorithm based on distributed routing information widely supported in existing wired and wireless networks. The message authentication is the main area to be considered in WSN’s. Most of the wireless networks are attacked for detecting the data’s that are transmitted in between the users. We aim at the randomization of delivery paths for data transmission to provide considerably small path similarity (i.e., the number of common links between two delivery paths) of two consecutive transmitted packets. The proposed algorithm should be easy to implement and compatible with popular routing protocols, such as the Routing Information Protocol (RIP) for wired networks and Destination-Sequenced Distance Vector (DSDV) protocol for wireless networks over existing infrastructures. These protocols shall not increase the number of control messages if the proposed algorithm is adopted. An analytic study will be presented for the proposed routing algorithm, and a series of simulation study will be conducted to verify the analytic results and to show the capability of the proposed algorithm.
THE DESIGN AND IMPLEMENTATION OF DATABASE SERVICE FOR REAL-TIME MEDICATION MONITORING SYSTEM

This article presents the design and implementation of a Web service for assistance in process of medication prescription. The service is a part of a Real-Time Medication Monitoring (RTMM) system. Some of the most important errors in the process of medication intake occur in the process of medication prescription. This is the reason to focus on research and analysis of this process, and develop a service that helps medical staff to prescribe more precise medication therapies. One of the most important information about medication prescription is the reactions between different drugs. These reactions can be positive or negative, and the main objective of this research is to limit the negative reactions and increase the positive ones. The Web service is implemented using RESTful Java servlets and NoSQL database deployed on the Google‘s public cloud infrastructure. The experimental results show that the developed service can be a useful assistant of doctors when they prescribing medication therapies.
Uncertainty Shocks and Firm Dynamics: Search and Monitoring in the Credit Market

We develop a business cycle model with gross flows of firm creation and destruction.The credit market is characterized by two frictions. First,entrepreneurs undergo a costly search for intermediate funding to create a firm. Second, upon a match, a costlystate-verification contract is set up. When defaults occurs, banks monitor firms, seize their assets, and a fraction of financial relationships are severed. The model is estimated using Bayesian methods for the U.S. economy. Among other shocks, uncertainty in productivity turns out to be a major contributor to both macro-financial aggregates and firm dynamics.
Assisted Inverse Reinforcement Learning

We study the problem of inverse reinforcement learning (IRL) with the added twist that the learner is assisted by a helpful teacher. More formally, we tackle the following question: How could a teacher provide an informative sequence of demonstrations to an IRL agent to speed up the learning process? We prove rigorous convergence guarantees of a new iterative teaching algorithm that adaptively chooses demonstrations based on the learner’s current performance. Extensive experiments with a car driving simulator environment show that the learning progress can be speeded up drastically as compared to an uninformative teacher.
GEOCHEMICAL EVALUATION OF THE RESERVOIR RESPONSE TO EXPLOITATION OF THE MINDANAO-1 GEOTHERMAL PRODUCTION FIELD , PHILIPPINES

Mindanao-1 production field has been operating commercially for almost two years. Nine (9) production wells were tapped to supply steam for the 52 MWe power plant. Significant changes in the physical and chemical characteristics of the producing wells were observed and are attributed to the response of the reservoir to continued exploitation. Variations in the geochemical parameters of the producing wells from its initial production were used to describe the effects of continued exploitation. Decline in discharge enthalpy with corresponding increase in waterflow were observed in wells along the Marbel Corridor. Slight increase of reservoir chloride and apparent decrease in TSiO2 were also experienced and are likely due to dominance of the liquid-saturated bottom feed zone in the discharge and the likely ingress of the reinjection fluid. The declining output of APO-1D, APO-3D and SP-4D is attributed to calcite deposition. To avert the ingress of reinjection fluid and calcite deposition in the production wells, reinjection load at present sink should be reduced and diverted farther north of the field and antiscalant injection system is being progressively installed in the affected production wells.
Does the i ntuitive s cientist conduct i nformative e xperiments ? : Children ’ s early a bility to s elect and l earn from t heir o wn i nterventions

We investigate whether children preferentially select informative actions and make accurate inferences from the outcome of their own interventions in a causal learning task. Fourto six-year-olds were presented with a novel system composed of two gears that could operate according to two possible causal structures (single or multiple cause). Given the choice between interventions (i.e., removing one of the gears to observe the remaining gear in isolation), children demonstrated a clear preference for the action that revealed the true causal structure, and made subsequent causal judgments that were consistent with the outcome observed. Experiment 2 addressed the possibility that performance was driven by children’s tendency to select an intervention that would produce a desirable effect (i.e., spinning gears), rather than to disambiguate the causal structure. The results replicate our initial findings in a context in which the informative action was less likely to produce a positive outcome than the uninformative one. We discuss these results in terms of their significance for understanding both the development of scientific reasoning and the role of self-directed actions in early learning.
Disparities in Psychiatric Care: Clinical and Cross-Cultural Perspectives

Chapters in this book address the availability and barriers to care among various ethnic populations and the roles of their cultures, languages, and religions as they affect diagnostic and treatment approaches. Issues related to special populations such as migrants, refugees, incarcerated individuals, and the homeless are discussed. The book also addresses issues related to gender, sexual orientation, and age. Brief sections on training, education, and policy will lay the foundation for assessing evidence-based approaches and outcomes in these diverse populations.
EPISTEMICALLY VIRTUOUS RESEARCH

Meehl (1978) argued that clinical psychology has made slow scientific progress and in the subsequent forty years this situation unfortunately has not changed. This paper argues that the reasons for this slow progress is that science in clinical psychology is not being conducted well. Part of the problem is that the standard view that science controls for human cognitive weaknesses such as confirmation bias is too narrow. We argue that increased scientific progress may be achieved by conducting better science along four dimensions: 1) use of severe tests in the Neo-Popperian sense; 2) testing hypotheses of higher empirical content; 3) an increased orientation toward, and clarity of, problem solving in research; and 4) executing these with increased epistemic virtue, particularly in the design and reporting of such tests. Good science may require good character and a proper appraisal of research may require increased attention to relevant epistemic virtues.
DG Placement in Distribution Systems for Loss and Reliability Optimization with Network Reconfiguration

This paper presents a method to improve the reliability and minimize losses in a radial distribution system by using network reconfiguration method. The methodology adopted to enhance reliability uses Cut set approach and historical data of the network such as reliability data, voltage profile etc. The optimal location for the placement of DG units is followed by using sensitivity analysis. Various network reconfiguration algorithms are simulated for the study of effectiveness of the method proposed. This method has been applied to a 33-bus radial distribution system to demonstrate that the objective of loss reduction and reliability improvement has been achieved to a significant level.
Personal-Social Developmental Screening of 0- 60 Months Old Children by Using DDST-II and ASQ

1. Department of Clinical Sciences, Pediatric Neurorehabilita on Research Center, University of Social Welfare & Rehabilita on Sciences, Tehran, Iran. 2. Pediatric Neurorehabilita on Research Center, University of Social Welfare & Rehabilita on Sciences, Tehran, Iran. 3. Department of Biosta s cs, Faculty of Medical Sciences, University of Tarbiat Modaress, Tehran, Iran. Firoozeh Sajedi 1, Roshanak Vameghi 1, *Soheila Shahshahani 2, Nadia Azari 2, Anooshirvan Kazemnejad 3
hase II Study of Autologous Transplantation with nterleukin-2 – Incubated Peripheral Blood Stem Cells nd Posttransplantation Interleukin-2 in Relapsed r Refractory Non-Hodgkin Lymphoma

Previous work suggested that interleukin (IL)–2 can be used for eradicating residual disease in autologous grafts and for preventing recurrence. We report a phase II study of autologous peripheral blood stem cell transplantation with in vitro IL-2 incubation of peripheral blood stem cells and posttransplantation IL-2 in patients with recurrent or refractory non-Hodgkin lymphoma. Salvage chemotherapy consisted of ifosfamide and etoposide. Responding patients underwent autologous peripheral blood stem cell transplantation. IL-2– incubated stem cells were infused on day 0. IL-2 1 mIU/m was given from day 1 until day 28. Four monthly maintenance cycles of IL-2 4 mIU/m subcutaneously twice daily days 1 to 5 and days 8 to 11 were administered thereafter. Eighty-four evaluable patients were enrolled, and 60 proceeded to transplantation, of which 56 received IL-2–incubated stem cells. The average received dose of posttransplantation IL-2 was 30% to 50% of planned. Only 42 patients received maintenance IL-2. The average received maintenance dose of IL-2 was also approximately 30% of planned. Most dose reductions were due to toxicity or patient refusal. Three-year survival and progression-free survival for all registered patients were 43% (95% confidence interval [CI], 33%-53%) and 31% (95% CI, 21%-41%), respectively. For the 60 patients undergoing transplantation, they were 59% (95% CI, 46%-72%) and 44% (95% CI, 31%-57%), respectively. There was no relation between the dose of IL-2 received and outcome. Survival and disease-free survival of the study group were similar to those of a previous study cohort that received unmanipulated stem cells and no systemic IL-2. Administration of IL-2–incubated peripheral blood stem cells and intensive posttransplantation IL-2 was associated with considerable but rapidly reversible toxicity. No effect on long-term outcome was observed. © 2004 American Society for Blood and Marrow Transplantation
MEAN SQUARE APPROXIMATION OF A NON-FLAT RIEMANNIAN MANIFOLD BY A FLAT ONE: TWO-DIMENSIONAL CASE

A two-dimensional Riemannian manifold can be immersed isometrically in the plane if and only if its Gaussian curvature vanishes identically, i.e., if it is flat. Given a non-flat surface, we are looking for its best approximation by a flat surface, where the deviation between the given and approximate surfaces is the L2 distance between the metrics. Questions of that type arise in nonlinear elasticity theory, and in particular, in a recent theory of so-called “incompatible elasticity”; in elasticity, the square of the L2 distance between the metrics is an elastic energy. In this paper we prove that a non-flat two dimensional surface cannot be arbitrarily well approximated by flat surfaces, and for the case of non-negative curvature, we lower bound the elastic energy by quantities that depend on the geometric properties of the manifold, and notably the Gaussian curvature.
Mining for Internship TitlesClusteringUsing Shared Nearest-Neighbor Method

An Internship course becomes one of many compulsory subjects in Under graduate Program of Informatics Engineering in Ahmad Dahlan University, Yogyakarta.In the last few semesters, we found that some students were failed in taking this subject. After being identified, they were facing some obstacles such as determining the main theme for their job description. During this study, we proposed an application to classify the internship titles by using a technique in text mining called Shared Nearest-Neighbor and Cosine Similarity. From the result, we got values from the parameter K is 7, the epsilon value is 0.5, and the value of Mint t is 0.3 with 22 clusters and 0 outlier. These values presented that all data titles of internship activitiesareclassified into each cluster. 7 topics whichtook by majority of students are:1) Information Systems (7 titles);2) Instructional Media (5 titles);3)Archiving Applications (4 titles);4) Web Profile Implementation (3 titles); 5)Instructional Media for University Courses (3 titles); Multimedia (3 titles) and 6)Workshop & Training (3 titles).
Role of Linguistics in Spoken Language Technology

In this age of information technology, information access in a convenient manner has gained importance. Since speech is a primary mode of communication among human beings, it is natural for people to expect to be able to carry out spoken dialogue with computers. This involves the integration of speech input/output technologies and language technologies. The role of natural language processing in this context is highlighted here.
Text mining and machine learning techniques for text classification , with application to the automatic categorization of websites

Website categorization has recently emerged as a very important task in several contexts. A huge amount of information is freely available through websites, and it could for instance be used to accomplish statistical surveys. However, the information of interest for the specific task under consideration has to be mined among that huge amount, and this turns out to be a difficult operation in practice. This work describes techniques that can be used to convert website categorization into a supervised classification problem. Each data record should summarize the content of an entire website. Records are obtained by using web scraping procedures, followed by a number of feature extraction and selection steps. When such records are completed, we apply state of the art classification techniques to categorize the websites according to the aspect of interest. Since in many applicative cases the labels available for the training set may be noisy, we also analyze the robustness of our procedure with respect to this issue. We present results obtained on real-world data for the detection of websites providing e-commerce facilities.
ANALYSIS OF RELATIONAL MARKETING EFFECT ON CUSTOMER LOYALTY MEDIATED BY PERCEIVED RISK AND PERCEIVED VALUE FOR THE USERS OF INFRAME PHOTO & VIDEO SERVICE IN SURABAYA

When a customer has a good perception of a product value, it will create a continuous buying interest until it creates a loyalty to product use. The research conducted by Doaei (2011) reveals that relational marketing has an insignificant effect on customer loyalty, means that the better the relational marketing is done, the lesser the customer loyalty. This research aims to determine the effect of relational marketing on customer loyalty mediated by perceived risk and perceived value on the customers of InFrame Photo & Video service in Surabaya. This research is quantitative with causal type. The sample is 240 customers, resulting in sample size of 148 customers. Data analysis uses Partial Least Square (PLS) and Total Effect. The results show that 1) Relational Marketing has a positive significant effect on Perceived Risk; 2) Relational Marketing has a positive significant effect on Perceived Value; 3) Perceived Risk has a positive significant effect on Customer Loyalty; 4) Perceived Value has a positive significant effect on Customer Loyalty; 5) Relational Marketing has a positive significant effect on Customer Loyalty; 6) Relational Marketing has a positive significant effect on Customer Loyalty mediated by Perceived Risk and Perceived Value.