Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-threaded Frequent Itemset Mining on Temporal Data

: For analysis of transaction data, Frequent Itemset mining is important task in data mining. In literature work lot of work has been done on frequent Itemset mining task. But this work focuses on static dataset. Whole dataset is used for Itemset mining. The proposed work focuses on temporal data. Temporal data includes timestamp information. The dataset is sliced in cubes for analysis. The Apriori algorithm is used for Itemset mining. This data cube information provide periodic or time interval specific frequent Itemset. To define time cubes data density is defined to avoid overestimating the time period. To improve the system performance the system is implemented in multi-threaded environment. The performance of system will measured in terms of time and memory.
Gestión de talento humano basado en competencias: una perspectiva latinoamericana

A pesar de la evolución significativa de la literatura en el campo de la administración, el área de talento humano demanda estudios que soporten la estandarización de un modelo para su gestión. Una de las limitaciones relevantes es que el término talento humano aún carece de una definición consistente y de un alcance conceptual claro. Esta investigación tiene como propósito proporcionar un marco referencial para académicos y practicantes de la administración de recursos humanos desde la perspectiva latinoamericana. Para esto se acogió el paradigma post positivista o constructivista siguiendo una metodología cualitativa basada en la revisión documental utilizando herramientas de búsqueda académica con las palabras claves de este estudio y seleccionando las obras más citadas. Como resultado se obtuvo que la gestión del talento humano depende principalmente de seis aspectos comunes como atracción, selección e incorporación; evaluación del desempeño; diseño de cargos, revisión de funciones, descripción de puestos de trabajo; remuneración, compensación y beneficios; y la formación y entrenamiento.
Towards Future Health and Well-being: Bridging Behavior Modeling and Intervention

With the advent of always-available, ubiquitous devices with powerful passive sensing and active interaction capabilities, the opportunities to integrate AI into this ecosystem have matured, providing an unprecedented opportunity to understand and support user well-being. A wide array of research has demonstrated the potential to detect risky behaviors and address health concerns, using human-centered ML to understand longitudinal, passive behavior logs. Unfortunately, it is difficult to translate these findings into deployable applications without better approaches to providing human-understandable relationship explanations between behavior features and predictions; and generalizing to new users and new time periods. My past work has made significant headway in addressing modeling accuracy, interpretability, and robustness. Moreover, my ultimate goal is to build deployable, intelligent interventions for health and well-being that make use of succeeding ML-based behavior models. I believe that just-in-time interventions are particularly well suited to ML support. I plan to test the value of ML for providing users with a better, interpretable, and robust experience in supporting their well-being.
Music Scope Pad: Video Selecting Interface by Natural Movement in VR Space

This paper describes a novel video selecting interface that enables us to select videos without having to click a mouse or touch a screen. Existing video players enable us to see and hear only one video at a time, and thus we have to play pieces individually to select the one we want to hear from numerous new videos such as music videos, which involves a large number of mouse and screen-touch operations. The main advantage of our video selecting interface is that it detects natural movements, such as head or hand movements when users are listening to sounds and they can focus on a particular sound source that they want to hear. By moving their head left or right, users can hear the source from a frontal position as the tablet detects changes in the direction they are facing. By putting their hand behind their ear, users can focus on a particular sound source.
Using the National Aeronautics Space Administration Task Load Index (NASA-TLX) in surgery: Considerations for use “in the wild”

Despite a variety of attempts to infer measurements of workload through more objective means, the NASATLX remains the most preferred tool in various industries. Interest in patient safety and healthcare systems design has seen a frequent application of the NASA-TLX over other methods within a range of surgical settings and has generated other adaptations to increase its sensitivity to specific tasks. However, in moving out of simulation settings and into real-world surgical settings, there are a range of challenges that need to be considered and addressed that have not been regularly reported in literature assessing intraoperative workload. In this paper, we offer insights from both prior research and our own studies that illustrate the value of using the NASA-TLX, and the potential pitfalls, to understand workload in surgery.
New Activation Functions in CNN and Its Applications

In this paper, the nonlinear activation functions based on fluid dynamics are presented. We propose two types of activation functions by applying the so-called parametric softsign to the negative region. We apply the activation function to CNN (Convolutional Neural Network) which performs image recognition and approaches from multiple benchmark datasets such as MNIST, CIFAR-10. Numerical results demonstrate the workability and the validity of the present approach through comparison with other numerical performances.
PQ4R and Collaborative Strategic Reading: The Effectiveness on Reading Skills

The aim of this study is to identify the most effective strategy used for teaching reading skills, especially reading comprehension for students who had difficulty in comprehending reading texts. This study was designed as a quasi-experimental research. There were two groups in this study namely control and treatment groups. There were three variables which were used to be tested in study, namely PQ4R, Collaborative Strategic Reading, and Direct Instruction. The participants were Grade X of 1 Godean Senior High School who were selected by using cluster random sampling who has homogenous reading skills level. The qualitative data were collected by doing interview to the English teacher and observation in the class during the teaching and learning process. The quantitative data were collected by conducting pretest and posttest in the students’ reading skills, especially in reading comprehension. The result of the pretest and posttest analysis showed that there was difference in the participants’ reading comprehension achievement in those taught using PQ4R, Collaborative Strategic Reading, and Direct Instruction. The mean of pretest score of PQ4R group was 61,75 and the mean of posttest score was 71,63. The mean score of the Collaborative Strategic Reading group was 63,32 and the mean score of posttests was 75,50. The mean score of pretests of participants taught using Direct Instruction was 62,5 and the pretest was 68,38. Among the three teaching strategies, there was differences in the effectiveness in the students reading skills. Students taught using CSR showed more understanding in comprehending the text for they worked in small groups. Keywords—reading skills, CSR, PQ4R
Field-dependent effects in biological systems

A system’s biology perspective implies that, in investigating the logic of complex living organisms, we have to shift from single entities to their mutual correlations. The collective dynamics between cells and their tissues – embedded within a morphogenetic field - makes possible the self-movement of the system, allowing a continuous change of the organism without disrupting its fundamental unity, i.e. preserving hence its internal coherence. Interactions among molecules, usually explained according to a reductionist, ligand-receptor model, occur in a complex biological matrix and their dynamics should be described in accordance with the framework provided by Quantum Electro Dynamics (QED), in order to accommodate with a wide arrays on inexplicable facts (synergy, coherence, long-range interactions, and emergence of ordered structures). Indeed, a vast number of biological processes have already been demonstrated behaving according to Quantum Mechanics rules. Quantum effects are constitutive components of the biological field and they deserve to be carefully investigated to provide a more convincing comprehension of a number of biological phenomena. Within this field, quantum effects alongside with other neglected, weak forces, can participate in shaping critical biological transitions, promoting cooperation between a large number of molecular entities, and leading hence to the emergence of coherent processes.
ELECTIVE COURSES IN A MIXED GROUP OF STUDENTS: TOWARDS INNOVATIVE TEACHING PRACTICES

The paper focuses on teaching elective courses for first-year students of pedagogical university. What makes these courses specific and challenging, is the fact that they comprise students of various academic areas (majoring, for example, in Linguistics, Philology, Mathematics, Music, Social Studies, et cetera). It means that a teacher has to struggle to embrace cultural and professional needs of the students divided by their majors, but united by the elective course. The authors offer a multi-layered approach towards lectures and seminars during such courses, based on the theory of small groups.
A plenary review of halitosis

Halitosis is any noxious smell arising from the oral cavity when breathing or speaking. Breath malodor is a condition that have health and social implications. The origin of oral malodor are caused by both systemic and oral conditions. Oral malodour leads to social embarrassment and can adversely affect individual’s social interactions. Though many oral and non-oral sources could give rise to halitosis, the volatile sulfur compounds –produced by microbial activitywere the main elements of oral malodor. In addition, there are very few instances where patients suffer from pseudohalitosis or halitophobia. Diagnosis play an important role in oral malodour and there are many direct and indirect measurements techniques and chairside diagnostic kits are available.
First results of the ATHENA/X-IFU digital readout electronics prototype

The Digital Readout Electronics (DRE) of the X-ray Integral Field Unit (X-IFU) instrument onboard Athena is made of two main parts: the DRE demultiplexor (DRE-DEMUX) and the DRE event processor (DRE-EP). The DRE-DEMUX drives the frequency domain multiplexed readout of the X-IFU Focal Plane Assembly (FPA) and it linearises the readout chains to increase their dynamic range. The DRE-EP processes the pixels’s data in order to detect the events and to measure the X-ray photon energy and arrival time. We have developed a prototype of the DRE-DEMUX module. We used a modular architecture with several boards in order to validate the different key functionalities one by one with a short design-test-rework cycle. To test the functionalities and performances of the DRE-DEMUX breadboards in a representative environment we developed several test equipments. Although the prototype is not flight representative in many aspects (EMC, power supplies, components grade, . . . ) it is intended to demonstrate the DRE-DEMUX functionalities and to validate the numerous operating procedures of our electronics. The preliminary tests conducted on the DRE-DEMUX prototype coupled to the dedicated test equipments validated its functionalities but also demonstrated that it is compliant with the its energy resolution requirement, which is the most constraining for the DRE.
BROKERING THEIR WAY TO LEADERSHIP: HOW INDIVIDUAL DIFFERENCES ENABLE BROKERS TO BE EFFECTIVE WITHIN AND BETWEEN TEAMS

ii CONTENTS . iii LIST OF FIGURES . v LIST OF TABLES . vi ACKNOWLEDGEMENTS . vii CHAPTER 1: INTRODUCTION. 1 External Leadership from a Social Network Perspective. 5 Taxonomy of External Leadership. 6 Overview of the Present Study . 8 CHAPTER 2: LITERATURE REVIEW . 11 Informal Leadership . 11 The concept of external informal leadership . 11 Two research focuses on informal leadership . 13 The Antecedents of Informal Leadership . 14 The consequences of informal leadership . 18 Extension of Informal Leadership Beyond Team Boundaries . 20 Brokerage and its Implications . 23 CHAPTER 3: THEORIES AND HYPOTHESE DEVELOPMENT . 27 Brokerage and Leadership . 27 “Can do” – The advantage of brokerage structure . 27 What Inter-Team Brokers Do to Become External Leaders? 32 Inter-team brokers’ sensegiving behaviors . 33 Inter-team brokers’ social support behaviors . 37 An Interaction between Brokerage Structure and Leader Identity . 39 “Will do” – How does leader identity amplify the advantage of brokerage? 39 An interaction between inter-team brokerage and leader identity on sensegiving behaviors42 An interaction between inter-team brokerage and leader identity on social support behaviors . 44 Consequences of External Leadership Emergence . 46 Individual-level consequence – Task performance . 46 Individual-level consequence – Creative performance . 47 CHAPTER 4: RESEARCH DESIGN AND MEASUREMENT . 49 Samples . 50
Training of Convolutional Neural Network using Transfer Learning for Aedes Aegypti Larvae

The flavivirus epidemiology has reached an alarming rate which haunts the world population including Malaysia. World Health Organization has proposed and practised various methods of vector control through environmental management, chemical and biological orientations. However, from the listed control vectors, the most crucial part to be heeded are non-accessible places like water storage and artificial container. The objective of the study was to acquire and compare various accuracies and cross-entropy errors of the training sets within different learning rates in water storage tank environment which was essential for detection. This experiment performed transfer learning where Inception-V3 was implemented. About 534 images were trained to classify between Aedes Aegypti larvae and float valve within 3 different learning rates. For training accuracy and validation accuracy, learning rates were 0.1; 99.98%, 99.90% and 0.01; 99.91%, 99.77% and 0.001; 99.10%, 99.93%. Cross-entropy errors for training and validation for 0.1 were 0.0021, 0.0184 whereas for 0.01 were 0.0091, 0.0121 and 0.001; 0.0513, 0.0330. Various accuracies and cross-entropy errors of the training sets within the different learning rates were successfully acquired and compared.
Characterization Methodology, Modeling, and Converter Design for 600 V Enhancement-Mode GaN FETs

Gallium Nitride (GaN) power devices are an emerging technology that have only become available commercially in the past few years. This new technology enables the design of converters at higher frequencies and efficiencies than those achievable with conventional Si devices. This dissertation reviews the unique characteristics, commercial status, and design challenges that surround GaN FETs, in order to provide sufficient background to potential GaN-based converter designers. Methodology for experimentally characterizing a GaN FET was also presented, including static characterization with a curve tracer and impedance analyzer, as well as dynamic characterization in a double pulse test setup. This methodology was supplemented by additional tests to determine losses caused by Miller-induced cross talk, and the tradeoff between these losses and overlap losses was studied for one example device. Based on analysis of characterization results, a simplified model was developed to describe the overall switching behavior and some unique features of the device. The impact of the Miller effect during the turn-on transient was studied, as well as the dynamic performance of GaN at elevated temperature. Furthermore, solutions were proposed for several key design challenges in GaN-based converters. First, a driver-integrated overcurrent and short-circuit protection scheme was developed, based on the relationship between gate voltage and drain current in GaN gate injection transistors. Second, the limitations on maximum utilization of current and voltage in a GaN FET were studied, particularly the voltage overshoots following turn-on and turn-off switching transients, and the effective cooling of GaN FETs in higher power operation. A thermal design was developed for heat extraction from bottom-cooled surface-mount devices. These solutions were verified in a GaN-based full-bridge single-phase inverter.
Research Progress of Polysemous Disambiguation

Linguistic ambiguity is a common phenomenon in human language communication. In natural language, when a word in a sentence has more than one meaning, ambiguity may occur. Word sense disambiguation is an important research topic in the field of natural language processing. The disambiguation effect has a significant impact on machine translation, information retrieval, information extraction and text mining, speech recognition and other aspects, so word meaning disambiguation has important theoretical research and practical application significance. The author analyzes, compares, and summarizes Knowledge-based Methods, Supervised Methods, and Unsupervised Methods, and analyzes the future trends of word sense disambiguation.
Learning Model Discrepancy in Physics-guided Neural Networks

Recent machine learning models such as deep learning become complicated and difficult to understand the meaning of learned weights. And also, there is a possibility of obtaining output ignoring the prior knowledge because machine learning model is learned from the observed data including the noise outlier. Especially in the natural science field exploring the principle, non interpretable model cannot be a useful model unless the model has descriptiveness even if model could perform well with high accuracy. On the other hand, numerical simulation using physical model is difficult to predict long-term due to the model discrepancy. In order to solve such disadvantages, we focused on the method that integrate machine learning model and physical model. This paper proposes the algorithm that can predict two components, namely outputs based on the law of physics and their model discrepancy. As an example, we used on predicting winds in the upper troposphere from thermal wind equations.
A BEHAVIOURAL CAR-FOLLOWING MODEL AND SOLVING THE QUICK THINKING DRIVER MODEL

The work presents a methodology for teaching mathematical modelling skills to students. Mathematical modelling is a skill that needs to be taught in an appropriate context and the choice of context in schools can be problematic. Students need both conceptual understanding in mathematics and experience of real-world situations in the chosen context before they can model given situations confidently. Contexts extracted from the world of industry and commerce are often too far removed from personal experience for students to understand. Simple alternative contexts are required where personal experience can help to promote confidence and provide motivation. A simple mathematical model for how individual vehicles follow each other along a stretch of road is discussed. The ability to predict to response a vehicle in a stream of traffic to the behaviour of its predecessor is important in estimating what effect changes to the driving environment with have on traffic flow. Various models proposed to explain this behaviour have different strengths and weakness. In this paper we discuss a car following model and its results in a second-order or first-order ordinary differential equation. The consequent analysis of the model can be used as an application of techniques taught at first year undergraduate level, and as a motivator to encourage students to think critically about the physical interpretation of the results which the model produces.
Parler aux machines, coproduire un service Intelligence artificielle et travail du client dans les services vocaux automatisés

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Parler aux machines, coproduire un service Intelligence artificielle et travail du client dans les services vocaux automatisés Julia Velkovska, Valérie Beaudouin
RFID Characteristics Test as Business Needs at Logistic Companies in Indonesia

In embedded RFID chips for storing records or data, such as Electronic Product Code one of them using barcode, in tag. Tags have functions to be able to transmit data for readable readers or stationary readers. using radio transmission technology to read data in tags. Each computer in the same system network can share and track data, regardless of where the item is searched for within the scope of the marked or restricted area. Available information may include item code, item date, delivery date, and item price. This study presents a framework based on RFID Proxied Technology Characteristics Real Time Data Processing, Continuous Data Tracking and Discrete Data, and Reuse and explores its relationship with Business Needs. The observed populations are supervisors and managers working in logistic companies taken cross section obtained from a number of logistics companies incorporated in the Indonesian Logistics Association (ALI) in 2015. Sampling is done using convenience sampling method (convenience sampling method) because the population of respondents working in logistics companies in Indonesia is not known with certainty. This research can contribute to how users can select and measure RFID technology from their characteristics so that the application of RFID systems and technology becomes an added value for the company not just as a complementary technology only.