Miracle-dz/UniFAR-FTUs huggingface dataset:
Being a Parent: A Study Among the Mothers of Juvenile Sexual Offender

The number of sexual abuse cases is increasing, especially those committed by teenagers. The teenagers who have been involved as perpetrators of sexual abuse have shown very complex behavioral problems, so the parents of these teens have questioned their parenting abilities, especially their beliefs as a parent in the future. Parental belief about their competence as a parent is known as parental self-efficacy. This study aims to describe parenting self-efficacy among the mothers of juvenile sexual offenders. In-depth interviews have been used for data collection, and a purposive sampling technique was used to select the subject. The results indicated the subjects did not believe in their parenting competence, especially in the domain of discipline, achievement, and nurturance. On the other hand, the show parenting self–efficacy in the domain of health and recreation. In addition, the mother's perceptions of socio–marital support affect their belief in parental competence.
SIMULATION OF PORNOGRAPHY WEB SITES (PWS) CLASSIFICATION USING PRINCIPAL COMPONENT ANALYSIS WITH NEURAL NETWORK

The explosive growth of objectionable web content such as pornography, terrorist and violence had been a serious threat for internet users especially children. Recently content analysis based filtering is being introduced to overcome this problem. In term of the promising result to satisfy the result of web content analysis, features extraction techniques play an important role to extract appropriate features from large volume of web information such as text, image, audio, video etc. In this paper we propose a model of pornography web site classification which mainly based on textual contentbased analysis such as indicative keywords detection. This paper will show that implementation of principal component analysis in back-propagate neural network is capable to classify high similarity illicit web content sufficiently. In this study, we introduce three techniques to implement our Pornography Web Site Classification Model (PWSCM) such as PWSCM with principal component analysis (PWSCM-PCA), PWSCM with only CPBF (PWSCM-CPBF) and PWSCM with integration of CPBF and PCA (PWSCM-CPBF-PCA). We compare the performance of these three techniques by conducting several simulation experiments. From the experiment results, we have found that the proposed model with three different techniques capable to perform efficient identification for illicit web content. Hence this paper will discuss the simulation results of the model with three techniques.
A Short Manifesto for Decolonising Multilingualism

The only way to decolonise is to do it. It needs some fore­ thought but ultimately it needs actions which are redolent with decolonising attempts, adding to critical learnings of previous decolonising attempts. It needs people who are able to embark on such a journey and return with tales to tell of what happens when decolonising is attempted in foreign languages learning. The tales are messy, compromised and always within what Spivak calls the ‘double bind’ (Spivak, 2012), a place within which there will always be dis­ease and a sense of not having reached a resolution. A place which, in critical terms, will always be found wanting, bearing traces of that which it wishes to divest.
Multirate sampled-data yaw-damper and modal suppression system design

A method for synthesizing reduced order mnttirate compensators is presented. This method determines the compensator parameter values by minimizing an infinite time quadratic cost ftmeuon re.suiting in a set of governing equations that are similar to those for the singie rate case. A numerical gradient-type search algorithm for solving these govermng equations is described. The algorithm is used to design several tip position controllers for a two link robot arm.
Inductores integrados planos sobre tecnologías de silicio

espanolLas tecnologias de fabricacion de circuitos integrados basadas en Silicio no han sido muy utilizadas en aplicaciones analogicas a frecuencias milimetricas, sin embargo son la alternativa para disminuir los costes. Las prestaciones de estos circuitos integrados son muy dependientes de la calidad de los elementos de circuito utilizados. Estan disponibles transistores cuyas frecuencias de corte alcanzan los 60 gigahertzios. , asi como resistencias y capacitares capaces de operar en intervalos de frecuencia de unos giga-hertzios, sin embargo no ocurre asi con los inductores. En este articulo se expone un analisis practico de los aspectos fundamentales relacionados con el funcionamiento de los inductores integrados sobre silicio EnglishSilicon IC technologies have been rarely used for analog applications in radio and microwave frequency ranges but they are the choice in lowering costs. The performance of these ICs strongly depends on the quality of the lumped elements used. There are transistors with cut-off frequencies above 60 GHz and resistors and capacitors suited to operate at frequencies in the range of several GHz, but this is not the case for inductors. In this paper we report a practical analysis of the main aspects affecting the integrated inductors behavior.
Fabrication of single nanowire device using electron beam lithography

One dimensional nanostructure materials such as nanowires have drawn many interests among the scientific community for a wide range of applications such as field-effect transistors [1], [2], inverters[3], light-emitting diode [1], lasers [4], nanosensors [5], [6], and photodetectors [7]. Comparing with the characterization of nanowire arrays, characterizing a single nanowire will definitely provide a better understanding on new nanowire properties due to simplified behaviors of devices. Although promising theories could be drawn from those results, fabrication of test structure for single nanowire measurements cannot be easily processed using standard microfabrication techniques. Therefore, electron beam lithography integrated with photolithography technique has been used to manipulate the connection; which provides I-V characteristics, of single horizontal nanowire with a specific device. Single Si nanowire characterization could be extended to various materials for further studies. In addition to single horizontal nanowire device, single vertical nanowire structure has been fabricated. Electron beam lithography technique is mainly used to pattern well-defined nanostructures where single ZnO nanowire is grown. Optical measurement, photoluminescence, is conducted to verify ZnO nanowires. This thesis also emphasizes on fabrication process to pattern various structures such as lines, rings, and circles with different sizes from 1um to sub 100nm. They could be potential candidate to create nanodisk antenna (rings), fishnet structure (lines), and base to grown single nanowire (circle).
Intelligence, Surveillance, and Reconnaissance Support to Humanitarian Relief Operations within the United States: Where Everyone is in Charge

Abstract : Intelligence, surveillance, and reconnaissance (ISR) support to humanitarian relief operations within the United States has been a hot topic of discussion among the leadership of the military, federal government, and state governments since Hurricane Katrina. These organizations have deemed ISR support essential to conducting timely, effective, and responsive relief operations. However, ISR support to humanitarian relief operations within the United States suffers due to a lack of unity of command and a lack of unity of effort within NORTHCOM, its subordinate units, and its interagency partners. NORTHCOM must improve its operational ISR support by developing pre-existing ISR plans, establishing standing command relationships, improving information sharing through interoperable communications, creating a liaison officer plan, reviewing legal restrictions and modifying them if necessary, and developing and conducting more frequent and challenging exercises. These improvements will allow ISR support to be more effective during humanitarian relief operations within the United States.
Machine Learning Based Framework for Maintaining Privacy of Healthcare Data

The Adoption of Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), cloud services, web-based software systems, and other wireless sensor devices in the healthcare infrastructure have led to phenomenal improvements and benefits in the healthcare sector. Digital healthcare has ensured early diagnosis of the diseases, greater accessibility, and mass outreach in terms of treatment. Despite this unprecedented success, the privacy and confidentiality of the healthcare data have become a major concern for all the stakeholders. Data breach reports reveal that the healthcare data industry is one of the key targets of cyber invaders. In fact the last few years have registered an unprecedented rise in healthcare data breaches. Hacking incidents and privilege abuse are the most common threats and have exposed sensitive and protected health data. Experts and researchers are working on various techniques, tools, and methods to address the security issues related to healthcare data. In this article, the main focus is on evaluating the impact of research studies done in the context of healthcare data breach reports to identify the contemporary privacy and confidentiality issues of sensitive healthcare data. Analysis of the research studies depicts that there is a need for proactive security mechanisms that will help the healthcare organizations to identify abnormal user behavior while accessing healthcare data. Moreover, studies also suggest that ML techniques would be highly effective in securing the privacy and confidentiality of the healthcare data. Working further on this premise, the present study also proposes a conceptual framework that will secure the privacy and confidentiality of healthcare data proactively. The proposed framework is based on ML techniques to detect deviated user access against Electronic Health Records. Further, fuzzy-based Analytical Network Process (ANP), a multi-criteria decision-making approach, is used to assess the accuracy of the supervised and unsupervised ML approaches for achieving a dynamic digital healthcare data security environment. This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Intelligent Automation & Soft Computing DOI:10.32604/iasc.2021. 018048 Article ech T Press Science
Experimental study of the potential use of an expander for atmospheric freeze-drying

Abstract Atmospheric freeze-drying (AFD) is a promising technique that is increasingly popular in drying applications. In this study, a novel method to generate the cold and dry air suitable for AFD applications using an expander is proposed. The concept is simple, able to simultaneously cool and dehumidify air, control the discharged air pressure, and provides the potential for energy saving. An idealized theoretical model to simulate the process was developed. Experiments were conducted at various pressure and speed conditions. The study shows that the expander's maximum volumetric and isentropic efficiencies were 27.2% and 21.8%, respectively. Observation of the internal chamber pressures was able to explain the relatively low isentropic efficiency. The maximum power output and expander efficiency were 56 W and 42.7%, respectively. The expander was able to cool the air to below 0 °C, and the lowest measured outlet air temperature was −8.7 °C. The outlet air relative humidity was between 3.6% to 4.7%. The measured dehumidification effectiveness was between 79.8% to 93.1%. The study shows that the concept is promising, and the expander was able to generate the required air conditions suitable for AFD applications.
Drivers and challenges for growing hauliers : What services can Scania offer to contribute to haulier growth?

Scania is a leading European developer and manufacturer of trucks, buses and engines, based in Sodertalje in Sweden. From traditionally having been focused on offering their customer high quality products, Scania is now moving towards becoming a solution provider. This requires a combination of products and services and a deeper understanding of their customers’ business. Hauliers are one of Scania’s most important customer segments. In order to improve its solution offer, Scania wants to gain a deeper understanding about how hauliers develop. Recent studies at Scania have shown deficiencies in knowledge about haulier development. To fill this gap, this master’s thesis was initiated with the purpose of "gaining insight into haulier development and listing implications for Scania‟s business and service development". The aim of the study was to identify drivers, challenges and other important factors for growing hauliers. This result was then used to understand how Scania can contribute to its haulier customers’ growth by offering services. Seven hauliers were selected based on a number of criteria and studied closely. The results showed a gap between the services offered by Scania today and the services suggested after analyses. Particularly, it indicated that non vehicle related services could help hauliers make crucial steps in their development. Scania is advised to further deepen its understanding about haulier development. By doing this, Scania would take an important step into becoming the solution provider it aims to be.
Responding to the Challenge of Climate Change: Using the Lever of Leadership 1

This paper has four objectives. First, it highlights why leadership is an important phenomenon when faced with complex environmental challenges like the challenge of delivering sustainable forms of solid waste management in a changing climate. Second, it describes some of the key factors associated with effective environmental leaders and leadership processes. Third, it explains two leadership theories that can be used to build appropriate forms of environmental leadership capacity. Finally, it outlines some strategies that could be used to strategically build leadership capacity to overcome some of the barriers to more sustainable solid waste management in Tasmania. The papers content is primarily derived from an international literature review conducted as part of a threeyear research project involving emergent environmental leaders (champions) who trigger and drive processes of change in government agencies to promote more sustainable practices. Its key message is that strategically building certain forms of leadership capacity is a leverage point that can be used to overcome complex environmental challenges over the medium to long term. To do this, practitioners need to arm themselves with knowledge on how this can be done. This paper helps this process. The target audience for this paper is practitioners who are seeking to promote more sustainable forms of solid waste management in Tasmania, wish to overcome complex challenges, and have the ability to implement leadership development initiatives whether it be in their organisations, professional associations or simply as part of their own professional development.
Post-genomic structural analysis of single amino acid polymorphisms

Inherited genetic variation is critical in defining disease susceptibility. PDs, or pathogenic deviations, are mutations reported to be disease-causing, while SNPs, or single nucleotide polymorphisms, are understood to have a negligible effect on phenotype. With recent developments in biotechnology—most relevant being increased reliability and speed of sequencing—a wealth of information regarding SNPs and PDs has been acquired. Quite apart from the analytical challenge of analysing this information with a view to identifying novel therapies and targets for disease, the challenge of simply storing, mapping and processing these data is significant in itself. This thesis describes the development of a large-scale, automated pipeline that provides hypotheses as to what the structural effects of these genomic variations might be. This includes the development of nine new analyses. Eight of these new methods are structural, identifying mutations that disrupt various aspects of protein structure, including the interface, binding sites, folding mechanics and stability. The final new analysis is a novel method of identifying highly conserved residues from sequence. Here, the distribution of conservation scores from a multiple sequence alignment (MSA) is analysed to generate an MSA-specific threshold for high conservation. In order to construct MSAs for the sequence analysis, a novel method for identifying functionally equivalent proteins has been developed. Further, PDs and SNPs are characterised with respect to these structural analyses, and with respect to basic sequence and structural features. The findings support trends elsewhere in the literature: PDs are more often found in the core of proteins and at highly conserved sites; they most often affect the stability of protein structures; and they more often are between very different amino acids. In addition to the implications for disease therapies, these findings are informative in the more general context of protein structure.
Goal-Directed Biped Stepping and Push Recovery with Momentum Control

Stepping is a fundamental skill involved in common bipedal activities such as walking, foot repositioning and step recovery. Generating these stepping activities requires characters that are controllable and responsive. This dissertation describes a goal-directed controller and a momentum supervisor for characters that perform both believable and robust steps under a variety of conditions. The desired step is controlled by generic task goals, namely step position and step duration, which allow characters to step in arbitrary directions with various speeds. These high-level goals guide desired changes of a character's center of mass and swing foot over the duration of the step. To produce realistic and flexible steps, the desired time-varying values for the center of mass and the swing foot are derived from parametric curve generators which are built on empirical evidence extracted from motion capture data of stepping. Controlling these two values along with regulation of angular momentum in vertical axis produces characters with coordinated full-body movements including natural arm swings during stepping. The system can guide a character with purposeful, directable steps to precisely follow user-specified foot placements and to carefully control the character's position and orientation. Moreover, the same system can be used to create protective steps to maintain the character's balance in response to a perturbation. A novel supervisory routine automatically chooses when and where to step with a straightforward goal: removing all linear and angular momenta induced by a push. In contrast to previous methods for push recovery using the inverted pendulum, the proposed momentum supervisor introduces a nice clean formulation to determine when and where to step and provides better prediction of a character's stability under perturbations by considering both linear and angular momenta of the character. In addition to responding to a perturbation, this dissertation also presents an approach for characters that anticipate impending perturbations with examples taken from human motion capture data. I focus on the motion interpolation sysnthesis technique which allows a character to anticipate by blocking or dodging a threat coming from a variety of directions and targeting any part of the body.
Cello map: a handbook of Cello technique for performers and composers

Many new sounds and new instrumental techniques have been introduced into music literature since 1950. The popular approach to support developments in modern instrumental technique is the catalogue or notation guide, which has led to isolated special effects. Several authors of handbooks of technique have pointed to an alternative, strategic, scientific approach to technique as an ideological ideal. I have adopted this approach more fully than before and applied it to the cello for the first time. This handbook provides a structure for further research. In this handbook, new techniques are presented alongside traditional methods and a ‘global technique’ is defined, within which every possible sound-modifying action is considered as a continuous scale, upon which as yet undiscovered techniques can also be slotted. The ‘map’ of the title is meant in the scientific sense of the word; connections are made between: ‘actions that a cellist makes’ and ‘sounds that a cello can produce’. In some cases, where existing scientific theory is insufficient to back up these connections, original empirical research has been undertaken and areas for further research have been suggested. Within this system there are no special effects, rather a continuum of actions with a clear relationship to sound.
Modeling of the Reduction Capacity within a High-Level Waste Tank at the Savannah River Site (U)

Closure of underground waste storage tanks for highly radioactive liquid waste at the U.S. Department of Energy Savannah River Site (SRS) involves the removal of waste from tanks for pretreatment and disposal, and the grouting of tanks to immobilize residual waste in the tanks. The grout formula includes 6 wt% slag to create a reducing environment for mitigating the subsurface transport of several radionuclides, e.g., Tc-99. However, due to the presence of oxygen in air, ambient conditions in the ground subsurface are oxidizing that will eventually exhaust the reducing capacity of the slag. A two-dimensional reactive transport model was developed to estimate the duration of the grout’s reducing properties in a high-level waste tank, and therefore its ability to sequest Tc-99. The simulations showed that 92% of the grout remained reduced after 10,000 years. Since the residual waste would be concentrated primarily on the bottom of the tank, additional calculations were conducted to determine the rate at which the bottom 18 cm of reductant was consumed: without cracks, 96% of the grout remained reduced after 10,000 yearrs, whereas with three cracks, 83% of the grout remained after 10,000 years. This paper discusses the general modeling approach and presents the study results.
Probing into Job Satisfaction Among Community Campus Teachers

The chief objective of this article is to probe into the level of job satisfaction among community campus teachers. Job satisfaction is the state of how content persons are with their jobs. It can be appraised on the basis of their responses to their feelings, perceptions, likes and dislikes for the jobs. Divergent factors can influence the satisfaction level of the personnel in their work. A crosssectional survey design was adopted to carry out the research study. Twenty question items of five-point Likert scale type regarding the job satisfaction of the teachers were administered at two campuses situated in Dang District of Nepal in 2020. Simple random sampling technique (lottery) was used to select 52 campus teachers as respondents for the study by maintaining the confidence level (95%) and the margin of error (5%) from the population of 59 teachers. The collected data were statistically analyzed by using SPSS . The study revealed that the teachers were satisfied (Median=4) with their teaching profession at the respective campuses. The Mann-Whitney U test showed that the teachers of the two campuses had a similar level of job satisfaction. Similarly, there was no statistically significant difference in the job satisfaction between male teachers and female teachers.