Miracle-dz/UniFAR-FTUs huggingface dataset:
Brief Report

This study aims to discover what factors were behind a decision to self-disclose experiences of sexual violence. Six Indonesian women aged 18–27 years participated in in-depth interviews that focused on what made them self-disclose, how the process happened, how the person(s) they disclosed reacted, and how they evaluated the disclosure. Three of the participants were raped when they were younger than age 10 years, and the other three were raped when they were older than age 18 years. Results showed that participants chose close friends as trusted persons and that the process of disclosing reminded them of the terrible experience. Unfortunately, not all persons to whom they disclosed reacted positively, but after a while, participants reported feeling relieved because the disclosure allowed them to look toward a brighter future. Age when rape happened was influential toward how they signified this trauma and feelings of self-worth.
Implementation of Inclusive Education Policy in Ghana: Recommendations from Social Workers and Policy Makers

ABSTRACT To satisfy the global commitment of promoting ‘Education for All’, Ghana, a sub-Saharan African country developed an inclusive education policy to define the government’s strategic path for the education of children and youth with special education needs. Years after making this commitment, research evidence has revealed significant challenges confronting the successful implementation of the inclusive education program. However, little has been reported on ways to address setbacks hindering the effective implementation of the inclusive education programme. Consequently, this study reports the views of practising social workers and regional level policymakers on how to address the setbacks facing the implementation of the policy. Qualitative semi-structured in-depth interviews were conducted with eleven professional social workers, two policymakers in the Ashanti region in Ghana. Data from the participants’ narratives were thematically analysed with the aid of NVivo 12 Pro software. The participants recommended; reconceptualising disability, financial backing, a guideline on teacher recruitment and fostering inter-agency collaboration, as the means to achieve the policy goals. The findings suggest the need to resource responsible agencies and refocus the policy by facilitating linkage between education and social welfare in the practice of inclusive education.
Az olvasás zavarai és a diszlexia

Ebben a fejezetben az olvasastanulas es az olvasas (mint komplex keszseg) tudomanyos vizsgalatanak főbb eredmenyeit a fejlődesi diszlexia főbb modelljeire vonatkoztatva mutatjuk be, kiserletet teve tobb tudomanyterulet ismereteinek integraciojara. Bar mint latni fogjuk, az olvasastanulas zavaraibana nyelvi rendszer fejlődesenek jellegzetes elteresei tetten erhetők, az olvasastanulas sulyos zavarainak megertesehez az olvasas alapfolyamatainak feltarasa vezet. A fejezetben eppen ezert elsősorban a szo szintű olvasas baziskeszsegeinek fejlődesi eltereseiről lesz szo, s csak utalaskent szerepel a szovegertes zavara, amely a diszlexianak nem előzmenye, hanem (az olvasasi fuencia gyengesegenek) kovetkezmenye. Ennek vizsgalata a pszicholingvisztika elkulonulő terulete, akarcsak a nyelvi fejlődes olyan zavarainak feltarasa, amelyeknelaz olvasas zavara kovetkezmenyes, s ennelfogva termeszetuk is mas(mint peldaul a specifkus nyelvfejlődesi zavar (SLI) es az a fazias olvasaszavarok.
A geometric approach for follow-the-leader motion of serpentine manipulator

This article presents a geometric approach for path planning of serpentine manipulator for real-time control in confined spaces. Firstly, the mechanical design of a serpentine manipulator is introduced, and its kinematics is analyzed. As the serpentine manipulator usually has more than 10 degrees of freedom, the motion control and obstacle avoidance are difficult considering its inverse kinematics. Follow-the-leader is an ideal path planning method for serpentine manipulator, as the manipulator moves forward, all the sections follow the path that the tip of manipulator has passed, which simplifies the obstacle avoidance. The realization of follow-the-leader method is to find the new configurations of the manipulator that can fit the ideal path with small errors. In this article, a novel geometric approach for follow-the-leader motion is proposed to solve new configurations with high precision of location and less computation time. The method is validated through simulation and the deviation from the ideal path is analyzed, simulation results show that calculation time for per step is less than 0.5 ms for a serpentine manipulator with 10 sections. To verify the follow-the-leader method, a 13-degree-of-freedom serpentine manipulator system with 6 sections was built, and 12 magnetic rotary encoders were embedded into the universal joints to collect data of rotation angles of each section. Experimental results show that the manipulator can carry out follow-the-leader motion as expected in real time.
Intervene effect on Streptococcus suis biofilm formation of emodin extracted from Rheum officinale Baill

Background Streptococcus suis is a zoonotic pathogen that causes serious systemic infections in pigs and humans. It is a great threat to pig breeding and public health safety. The formation of biofilm was one of the main reasons that it’s difficult to cure. Rhubarb water extract can inhibit the formation of biofilm of Streptococcus suis, but the main functional ingredient was not clear. And what’s the potential mechanism of emodin intervene the biofilm formation? Importantly, the gene expression of luxS of Streptococcus suis was significantly decreased with emodin treatment, if there is a possibility that emodin could combine with LuxS protein which in turn inhibit the formation of biofilm? Methods Optimization of green ultrasonic extraction of emodin from R. officinale by Response Surface Methodology. The activity of antibacterial was evaluated by MIC assay. And the ability that intervene biofilm formation was evaluated through Crystal violet staining and SEM. The combination mode between emodin and LuxS protein was identified through molecular docking. Results The optimum extraction conditions (ethanol concentration of 80%, extraction time of 21 min, and liquid to solid ratio of 12.5:1 mL/g) were determined through the interaction analysis of different influencing factors and model verification experiment. The minimal inhibitory concentration (MIC) of RUEP against S.suis was 15.625 µg·mL-1, and sub-inhibitory concentrations of RUEP (1/2, 1/4, 1/8 and 1/16 MIC) significantly inhibited the biofilm formation of S. suis. Moreover, scanning electron microscopy analysis confirmed that RUEP can damage the layered colony community structure in biofilm and effectively intervene in the biofilm formation of Streptococcus suis. Through molecular docking analyzed, the inhibition of biofilm formation could be realized through the formation of hydrogen bond with residues His14 and Glu 60, π-π staking with His61、Phe80 and hydrophobic interaction with Cys127. Conclusion Through our study, we found emodin have good antibacterial and antibiofilm formation properties and the potential mechanism of emodin intervention on biofilm formation of Streptococcus suis was inferred.
MALDI TOF MS – new possibilities in routine microbiological diagnostics

One of the problems of modern medicine is diagnosis, treatment and prophylaxis of infections caused by multidrug-resistant strains of bacteria. Fast and correct identification of these pathogens is of utmost importance, as it enables early implementation of effective therapy. Therefore, rapid, modern and affordable methods are of outstanding value as they make it possible to conduct a reliable analysis in a very short period of time. One of such techniques is matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), which in recent years is increasingly used in clinical microbiological laboratories. This method enables cheap, fast and reliable identification of microorganisms based on their protein profiles. At present the possibilities of use of MALDI-TOF MS method become more broad, e.g. for identification of microorganisms directly in positive blood culture samples, typing of bacterial strains in epidemiological investigation of an outbreak as well as detection of multidrug-resistant strains, including producers of carbapenemases.
Sketching, Product Design Presentation

We are very pleased to announce the third book by our bestselling writers Koos Eissen and Roselien Steur. After the worldwide success of Sketching and Sketching: the Basics the authors now shift their focus from how to sketch to why you sketch. For designers, sketching is a daily activity that can serve many goals. You can sketch to brainstorm, to find and articulate ideas or to present a project to other designers in your team or people from other departments. And of course you sketch to present projects to clients and production companies. All these goals require different sketching techniques, which will be even more effective if you understand how people view your ketches and how you can use your sketches to improve your way of communicating what you want.
Localization or standardization? A comparative analysis of multinational agrochemical corporations’ environmental disclosure practices in India

This thesis research seeks to provide insight into the corporate environmental disclosure practices of multinational agrochemical parent corporations, their public subsidiaries in India and domestic Indian agrochemical corporations. The study analyzes whether environmental disclosure practices are more strongly influenced by country-of-operation or country-of-origin. These analyses use a recently developed content analysis instrument named consolidated narrative interrogation (CONI), which is capable of measuring the diversity, quantity and quality of environmental disclosures. Results indicate that the quantity, quality and diversity of Indian agrochemical subsidiaries’ corporate environmental disclosures are more similar to domestic Indian companies than their parent companies. These results may be explained by the institutional theory. The results of this study are of significance because they provide evidence that multinational corporations may not transfer their environmental disclosure practices to host countries. Instead, environmental disclosure practices of subsidiaries are localized to their host country and are not standardized with parent company practices.
Resources

Deep learning has been shown as a powerful method for a variety of artificial intelligence tasks, including some critical tasks in NLP. However, training a deep neural network is usually a very time-intensive process and requires lots of code to build related models. To alleviate these issues, some deep learning frameworks have been developed and released, which incorporate some existing and necessary arithmetic operators for neural network constructions. And these frameworks exploit hardware features such as multi-core CPUs and many-core GPUs to shorten the training time. Each framework has its advantages and disadvantages. In this chapter, we aim to exhibit features and running performance of these frameworks so that users can select an appropriate framework for their usage. 10.1 Open-Source Frameworks for Deep Learning In this section, we will introduce several typical open-source frameworks for deep learning including Caffe, Theano, TensorFlow, Torch, PyTorch, Keras, and MXNet. In fact, as the rapid development of the deep learning community, these open-source frameworks are updating every day, and therefore the information in this section may not be up to date. In fact, this section mainly focuses on introducing the special features of these frameworks and lets the readers have a preliminary understanding of them. To know the latest features of these deep learning frameworks, please refer to their official sites.
Novel factors and mechanisms in control of CD36-mediated cardiac fatty acid transport

An increased cardiac fatty acid supply and increased sarcolemmal presence of the long-chain fatty acid transporter CD36 are associated with and contribute to impaired cardiac insulin sensitivity and function. We aimed at preventing the development of insulin resistance and contractile dysfunction in cardiomyocytes by blocking CD36-mediated palmitate uptake. Insulin resistance and contractile dysfunction were induced in primary cardiomyocytes by 48 h incubation in media containing either 100 nM insulin (high insulin; HI) or 200 μM palmitate (high palmitate; HP). Under both culturing conditions, insulin-stimulated glucose uptake and Akt-phosphorylation were abrogated or markedly reduced. Furthermore, cardiomyocytes cultured in each medium displayed elevated sarcolemmal CD36 content, increased basal palmitate uptake, lipid accumulation and decreased sarcomere shortening. Immunochemical CD36 inhibition enhanced basal glucose uptake and prevented elevated basal palmitate uptake, triacylglycerol accumulation, and contractile dysfunction in cardiomyocytes cultured in either medium. Additionally, CD36 inhibition prevented loss of insulin signaling in cells cultured in HP, but not in HI medium. In conclusion, CD36 inhibition prevents lipid accumulation and lipid-induced contractile dysfunction in cardiomyocytes, but likely independently of effects on insulin signaling. Nonetheless, pharmacological CD36 inhibition may be considered as a treatment strategy to counteract impaired functioning of the lipid-loaded heart.
Vortex lattice modelling of winglets on wind turbine blades

The power production of wind turbines can be increased by the use of winglets without increasing the swept area. This makes them suitable for sites with restrictions in rotor diameter and in wind farms. The present project aims at understanding how winglets influences the flow and the aerodynamic forces on wind turbine blades. A free wake vortex lattice code and a fast design algorithm for a horizontal axis wind turbine under steady conditions has been developed. 2 winglet designs are threated in detail.
An Analysis Of Inner City Decay A Study Of Some Selected Slums In Jos Metropolis Plateau State Nigeria.

Slum is a squatter settlement that is formed as a result of infiltration of people particularly into urban areas. The study aimed at identifying slum characteristics and how they contribute to environmental deterioration within the study area, systematic sampling technique was adopted to select households for the study. In analyzing the problems of the selected slums in Jos, a total of 347 well structured questionnaires were distributed to selected households in the study area, after the survey instrument was protested effectively in a pilot survey, which involved 50 questionnaires were administered and were recovered for the analysis. The results revealed that most of the household size in the selected slums is between 5 to 9 persons, the number of persons per room falls between 6-7 persons per room, this indicate that the average occupancy ratio in the selected slums is quite high, most of the buildings in the selected slums were built between 11 to 15 years ago similarly, the predominant dwelling type in the selected slums are compounds with shared facilities. The toilets are in very bad conditions, the bathrooms are in fairly good conditions. Most of the dwellings were built with cement blocks and roofed with corrugated iron roofing sheets as indicated by the data collected. The walls of most of the dwelling in the selected slums are in bad condition while the roofs and painting of most dwelling. It was observed that major source of water supply in the selected slums is hand dug well and the other sources of water supply include streams, tap, rainwater and buying from water vendors. The study therefore, recommends among other things, the transformation and new development alternatives in the planning.
Nonequilibrium site distribution governs charge-transfer electroluminescence at disordered organic heterointerfaces

Significance Semiconducting polymers and small molecules have promising applications in organic optoelectronic devices, such as solar cells, which typically consist of a disordered mixture of donor and acceptor materials. The performance of these devices is determined by the properties of the donor/acceptor interface. While the donor/acceptor interface is often studied by operating the solar cell device as a light-emitting diode, resulting in charge-transfer electroluminescence, the currently prevailing description of electroluminescence is not quantitative and is often inconsistent with experiments. We present an experimentally verified and quantitative model of charge-transfer electroluminescence at donor/acceptor interfaces that reconciles the inconsistencies present in the literature. Our model simultaneously and quantitatively accounts for energetic disorder and molecular vibrations governing charge transport and luminescence in organic semiconductors. The interface between electron-donating (D) and electron-accepting (A) materials in organic photovoltaic (OPV) devices is commonly probed by charge-transfer (CT) electroluminescence (EL) measurements to estimate the CT energy, which critically relates to device open-circuit voltage. It is generally assumed that during CT-EL injected charges recombine at close-to-equilibrium energies in their respective density of states (DOS). Here, we explicitly quantify that CT-EL instead originates from higher-energy DOS site distributions significantly above DOS equilibrium energies. To demonstrate this, we have developed a quantitative and experimentally calibrated model for CT-EL at organic D/A heterointerfaces, which simultaneously accounts for the charge transport physics in an energetically disordered DOS and the Franck–Condon broadening. The 0–0 CT-EL transition lineshape is numerically calculated using measured energetic disorder values as input to 3-dimensional kinetic Monte Carlo simulations. We account for vibrational CT-EL overtones by selectively measuring the dominant vibrational phonon-mode energy governing CT luminescence at the D/A interface using fluorescence line-narrowing spectroscopy. Our model numerically reproduces the measured CT-EL spectra and their bias dependence and reveals the higher-lying manifold of DOS sites responsible for CT-EL. Lowest-energy CT states are situated ∼180 to 570 meV below the 0–0 CT-EL transition, enabling photogenerated carrier thermalization to these low-lying DOS sites when the OPV device is operated as a solar cell rather than as a light-emitting diode. Nonequilibrium site distribution rationalizes the experimentally observed weak current-density dependence of CT-EL and poses fundamental questions on reciprocity relations relating light emission to photovoltaic action and regarding minimal attainable photovoltaic energy conversion losses in OPV devices.
A Research on Different Types of Malware and Detection Techniques

Malware has become a serious threat. Malware analysis is one of the challenging domain. The increase in the malware exploitation has made the detailed study of the malware, understand the different types of malware and its behavior model and analyze the existing detection system with their short comes to identify the research gaps [8] to solve the specific problem. So in this paper, we have presented the different malware taxonomy and different malware detection techniques with its features and also presented the malware model and the research gaps in the malware analysis domain.
Words Algorithm Collection - finding closely related open access books using text mining techniques

Open access platforms and retail websites are both trying to present the most relevant offerings to their patrons. Retail websites deploy recommender systems that collect data about their customers. These systems are successful but intrude on privacy. As an alternative, this paper presents an algorithm that uses text mining techniques to find the most important themes of an open access book or chapter. By locating other publications that share one or more of these themes, it is possible to recommend closely related books or chapters. The algorithm splits the full text in trigrams. It removes all trigrams containing words that are commonly used in everyday language and in (open access) book publishing. The most occurring remaining trigrams are distinctive to the publication and indicate the themes of the book. The next step is finding publications that share one or more of the trigrams. The strength of the connection can be measured by counting – and ranking – the number of shared trigrams. The algorithm was used to find connections between 10,997 titles: 67% in English, 29% in German and 6% in Dutch or a combination of languages. The algorithm is able to find connected books across languages. It is possible use the algorithm for several use cases, not just recommender systems. Creating benchmarks for publishers or creating a collection of connected titles for libraries are other possibilities. Apart from the OAPEN Library, the algorithm can be applied to other collections of open access books or even open access journal articles. Combining the results across multiple collections will enhance its effectiveness.
Context based reminder system Supporting persons using Smartphone accelerometer data

Context: Sensor base data is being used for many purposes in designing various memory aid systems for cognitive impaired people. Different memory aids or reminder systems are based on various technologies such as NFC, accelerometer, GPS and gyroscope. Smart phones are equipped with such sensors and can be used for assistance of persons. In this study we use smart phone sensors in order to design a context aware reminder system to assist cognitive impaired people. Objectives: Different reminder systems, needs for such systems, technologies and models used to build a reminder system are identified in this research work. Ultimate goal of the study is to assist cognitive people in their daily life activities, using available embedded technologies of smart phones. Following objectives were set to achieve the goal of the thesis work: • What are reminder systems and why do we need such systems? • What are the different kinds of technologies reported in literature for reminder systems? • What are the issues encountered by cognitive impaired/elderly people while performing their daily life activities? • How to design and implement context aware reminder system using Smartphone embedded sensors? Methods: Mix method approach is used to carry out this study. Literature review is conducted based on the notion of systematic review. Data is collected through survey and interviews, conducted in south Sweden municipality, to analyze and indentify daily life issues and problems of cognitive people. Experiments are performed in real environment to test and verify our application. We evaluate the performance of activity recognition algorithm, implemented in the application, using Weka. Results: Various reminder systems, their needs and underlined technologies are identified and reported. Activities of daily living and issues addressed by these reminder systems are also identified. Survey and interviews help us to identify issues and problems faced by cognitive impaired/elderly while performing their daily life activities. For example, we find out that cognitive people not only forget their daily life activities but also during performing these activities. Conclusions: Many proposed models in literature are related to each other and use similar sensor based data from various technologies. Based on literature review, survey and interviews we have concluded that context based reminder system is essential for cognitive disabled people. It leads us to design a context based reminder system for android based smart phones. The preliminary tests help us to verify our model but there is absolute need for further empirical verification and validation.