Miracle-dz/UniFAR-FTUs huggingface dataset:
AN M-LEARNING TOOL FOR PRE-SCHOOL KIDS

The importance of technology is incontrovertible in today’s world. The effects of it surround the life of human in everywhere and every time. The young students, especially pre-school period children, learn how to share and socialize, to make cooperation and take place in teamwork. During pre-school period they learn new things and their talents. Children have the chance to learn new things which can affect their grown period. They learn how to use their brain for learning new things and so they can be aware of their talents with the help of this study. In this work, we describe a novel M-Learning process with our M-learning tool. This process is especially developed for pre-school children. The main factor in this process is using the technological devices which affect the education period of children and the teaching period of teachers. This tool also gives a chance for the parents to observe the improvements that occur in the learning capacity of their children and children also can have fun while they are learning new things.
Using Temperature Sensitive Paint (TSP) to map surface temperature

UNSW Canberra has previously conducted considerable research into temperature surface-mapping techniques. The experimental mapping of surface temperature is a useful tool to verify the theoretical thermal behaviour calculated by generated simulations. The purpose of this research project was to trial the use of temperature sensitive paint (TSP) to achieve this task. The aims of this research were to assist in integrating this new capability into UNSW Canberra. This was achieved by calibrating the paint, then testing it on a nozzle test case to determine its accuracy, practicability, and suitability. This then aided in providing recommendations on future uses of the TSP. Another aim for this project was to develop an experimental method for using TSPs. TSPs are advantageous over other methods of temperature mapping as they provide a relatively non-intrusive, real-time approach with a relatively simple experimental setup. TSPs are made by embedding temperature sensitive luminescent molecules in an oxygen impermeable polymer binder. These molecules are excited by light of a certain wavelength, and when deactivating they may emit luminescent light. An effect known as thermal quenching leads to the decreasing in luminescent intensity with an increasing temperature. This is measured by capturing the intensity of the light using a DSLR camera and post-processing is used to give a measure of the intensity ratio. The relationship between the intensity ratio and temperature was plotted to find the calibration function of the paint. For this experimental research, TSP was applied to the surface of a test nozzle and its luminescent intensity was monitored throughout the use of the nozzle. The calibration function was then applied to the data to map the temperature distribution along the nozzle surface over time. The results were verified by an IR camera. It was found that with the method used the TSP data had a large variance, which contributed to an uncertainty of ±5°C. While the results from the TSP followed the same trend as the data from the IR camera it was found that the TSP was not very suitable to the test case chosen and would be more suited to applications that had higher operating temperature with a larger range. It was concluded that the TSP is more useful in providing a map of the distribution of the surface temperature, and not accurate in providing point temperatures.
The role of frugivorous birds in the dispersal of shrubs in submontane zone of tropical forest, West Java, Indonesia

Abstract. Partasasmita R. 2015. The role of frugivorous birds in the dispersal of shrubs in submontane tropical forest, West Java, Indonesia. Nusantara Bioscience 7: 144-148. Shrubs are widely distributed, from lowland to mountainous area. Submontane forest zone is one of many ecosystem types rich in many species of shrub. The success of plant growth and establishment depends on the role of the seed dispersal agents. This study of shrub seed dispersal by frugivorous birds has been conducted in tea plantation area of Panaruban, Subang, West Java. To get seeds trapped in feces, samples of feces were collected from birds trapped in mist nets and from fecal dropped count method. The study sites were tea plantation which had been neglected for five years and bush in a secondary forest nearby. The results showed that seeds of 7 species of shrub were found in the feces of six species of frugivorous birds trapped in mist nets and one species of bird from fecal dropped count method. Based on feces analysis, of the seven shrub species, Clidemia hirta was dispersed mostly by Dicaeum trigonostigma, and then by Pycnonotus aurigaster. Sambucus javanica was mostly dispersed by Pycnonotus goiavier and Scissirostrum dubium. The germination rate of seeds collected from feces was 1.43-5.71% higher than that of seeds which had not passed through the bird’s digestive tract.
A General Approach to Probe Dynamic Operation and Carrier Mobility in Field‐Effect Transistors with Nonuniform Accumulation

Revealing the intrinsic electrical properties is the basis of understanding new functional materials and developing their applications. However, in nonideal field‐effect transistors (FETs), conventional current–voltage characterizations do not accurately probe charge transport, particularly for newly developed semiconductors. Here, a generalized gated four‐probe (G‐GFP) technique is developed, which detects dynamic changes in carrier accumulation and transport. The technique is suitable for exploring the intrinsic properties of semiconductors in FETs with arbitrary contacts and in any operational regimes above the threshold. Application to simulated transistors confirms its accuracy in probing the evolution of channel potential, drift field, and gate‐dependent carrier mobility for devices with a contact‐limited operation and disordered semiconductors. Comparative experiments are performed based on FETs with various materials, device structures, and operational temperatures. The G‐GFP technique proves to exclude the various injection properties, to detect in situ how carriers are accumulated, and to clarify carrier mobility of the semiconductors. In particular, the well‐known “double‐slope” features in the current–voltage relations are controllably generated and their origins are identified. The approach could be used to explore electronic properties of newly developed materials such as organic, oxide, or 2D semiconductors.
Market Stability with Machine Learning Agents

Abstract We consider the effect of adaptive model selection and regularization by agents on price volatility and market stability in a simple agent-based model of a financial market. The agents base their trading behavior on forecasts of future returns, which they update adaptively and asynchronously through a process of model selection, estimation, and prediction. The addition of model selection and regularization methods to the traders’ learning algorithm is shown to reduce but not eliminate overfitting and resulting excess volatility. Our results suggest that even a high degree of attention to overfitting on the part of traders who are engaged in data mining is unlikely to entirely eliminate destabilizing speculation. They also accord well with the empirical “sparse signals” and “pockets of predictability” findings of Chinco et al. (2019) and Farmer et al. (2019).
TPCKT: Two-Level Progressive Cross-Media Knowledge Transfer

As multimedia data have been the main form of big data, cross-media retrieval becomes a research hotspot. It provides a flexible retrieval paradigm across different media types, such as using an image query to retrieve the relevant text, video, and audio. An effective model to establish cross-media correlation is indispensable for retrieval. Existing methods usually rely on labeled data for model training, but it is extremely labor consuming to collect and label cross-media data. Under this situation, it is a key issue toward the real application to transfer knowledge from existing data to new data, for reducing the human labor. However, little attention has been paid to knowledge transfer between two cross-media domains. Therefore, this paper proposes the approach of two-level progressive cross-media knowledge transfer (TPCKT), which transfers knowledge from large-scale cross-media data, to boost the retrieval accuracy on cross-media data of another domain. Its contributions are: First, two-level adversarial transfer architecture is proposed with domain discriminators in media-specific level and media-shared level, which have partially shared parameters to preserve cross-media consistency of transfer. The domain discrepancy between cross-media domains is fully reduced for boosting the retrieval accuracy. Second, progressive semantic transfer mechanism is proposed to iteratively select semantically related categories in two cross-media domains for transfer. This drives the transfer process with ascending difficulties, for addressing the difficulty from different label spaces, and ensuring the robustness of transfer. For the experiment, the large-scale cross-media dataset PKU XMediaNet serves as the source domain, and three widely used small-scale datasets are adopted as the target domains to perform retrieval. Experimental results show the promising improvement gained by the proposed TPCKT.
MODELLING IN HBIM TO DOCUMENT MATERIALS DECAY BY A THEMATIC MAPPING TO MANAGE THE CULTURAL HERITAGE: THE CASE OF “CHIESA DELLA PIETÀ” IN FERMO

Abstract. Relevant, historically, it is the role of the Diocese of Fermo (Italy) in the Vatican organization dedicated to vast ecclesiastical patrimony on the territory of the Marche region. In this context, for the peculiarity of its identity and its property, the object of this study is the “Chiesa della Pietà”. This research starts with the photogrammetric survey to document and analyse the existing condition of the church. The data acquisition provides many scans following a network schema and the photographic survey allows to create orthoimages to make more realistic the 3D representation. Once acquired the geometric and material survey, a series of investigations have been carried out to assess the surface degradation and the material decay of the external façades and internal environments. Furthermore, some structural problems have been occurred, investigating and verifying the presence of advanced stages of deterioration of the wooden structures and the restoration of these structural elements must be mandatory. To take under control the decay and to propose a restoration step, we have arranged the 3D model in HBIM software with different LOD, according to the BIM Forum Level of Development Specification (2016), suitable to develop a well-structured information system. Before the 3D modelling phase, a decomposition of the building is useful to implement a semantic classification of the architectural elements. Basing on a hierarchy of classes and subclasses, the dedicated database organizes the building components assigning an ID-code to the features, putting in evidence materials decay by a thematic mapping.
The Effects of Dental Hygienist Scope of Practice and Autonomy on Dental Care Utilization

Because of the limited supply of health care providers relative to the demand for health care services, increases in provider autonomy are believed to improve access to health care. However, research on the impact of scope of practice laws for health and dental care providers is limited. We investigate the effects of dental hygienist scope of practice regulations and autonomy levels on dental care access, utilization, and expenditure. We measure the strength of these laws by extending the Dental Hygiene Professional Practice Index to the years 2001 to 2014. Data on dental care utilization for our analysis come from the 2001-2014 Medical Expenditure Panel Survey. We use a difference-indifference approach that exploits variation within states over time in scope of practice laws for identification. We find evidence that increasing the autonomy level of dental hygienists modestly improves dental care utilization, but increases in utilization are more pronounced in areas with a shortage of dental care providers.
Needlestack: an ultra-sensitive variant caller for multi-sample next generation sequencing data

The emergence of Next-Generation Sequencing (NGS) has revolutionized the way of reaching a genome sequence, with the promise of potentially providing a comprehensive characterization of DNA variations. Nevertheless, detecting somatic mutations is still a difficult problem, in particular when trying to identify low abundance mutations such as subclonal mutations, tumour-derived alterations in body fluids or somatic mutations from histological normal tissue. The main challenge is to precisely distinguish between sequencing artefacts and true mutations, particularly when the latter are so rare they reach similar abundance levels as artefacts. Here, we present needlestack, a highly sensitive variant caller, which directly learns from the data the level of systematic sequencing errors to accurately call mutations. Needlestack is based on the idea that the sequencing error rate can be dynamically estimated from analyzing multiple samples together. We show that the sequencing error rate varies across alterations, illustrating the need to precisely estimate it. We evaluate the performance of needlestack for various types of variations, and we show that needlestack is robust among positions and outperforms existing state-of-the-art method for low abundance mutations. Needlestack, along with its source code is freely available on the GitHub plateform: https://github.com/IARCbioinfo/needlestack.
Incommensurate instability and diffuse scattering at Brillouin zone boundary in Zr-rich lead zirconate titanate

Abstract Detailed study of the X-ray diffuse scattering in the paraelectric phase of the PbZr0.985Ti0. 015O3 was carried out. We concentrated on the analysis of the scattering peculiarities in the vicinities of M- and R- points of the Brillouin zone. We have observed a critical increase of the diffuse scattering at the position Q ≈ (0.47 + h 0.53 + k l) slightly aside of M point on cooling to the intermediate phase. We attribute observed critical scattering to a mixed mode containing both oxygen octahedral tilts and antiparallel cationic displacements. Tentative conclusion is made describing earlier reported complicated set of the satellite peaks around M-point as the result of the soft-mode driven incommensurate phase transition.
A Dual-Loop Predictive Control Structure for Permanent Magnet Synchronous Machines With Enhanced Attenuation of Periodic Disturbances

In the control of permanent magnet synchronous machines (PMSMs), predictive controllers have received considerable attention due to the enhanced dynamic responses. However, periodic disturbances caused by dead-time effects and sampling errors deteriorate the performances of PMSMs. In order to suppress periodic disturbances, one typical control structure is to adopt several corresponding resonant controllers connected in parallel with the main controller. Even though excellent steady-state performances can be obtained, coupling effects between reference tracking and periodic disturbance attenuation can be observed, leading to significant transient oscillations under the situation of a reference step change. In order to realize decoupling between reference tracking and disturbance attenuation, this paper proposes a dual-loop predictive control structure, in which the reference tracking is only determined by the primary predictive controller. Periodic disturbance attenuation is achieved through an embedded disturbance rejection loop. By applying the proposed controller, periodic disturbances are strongly attenuated while smooth and fast transient performances are simultaneously guaranteed. Furthermore, a wide range of low frequency harmonics can be successfully suppressed, including but not limited to the main periodic harmonics. The steady-state performance, dynamic responses, and robustness against parameter variations of the proposed controller are verified through experiments based on a 2.3-kW PMSM.
A Dataset of Parametric Cryptographic Misuses

Cryptographic APIs (Crypto APIs) provide the foundations for the development of secure applications. Unfortunately, most applications do not use Crypto APIs securely and end up being insecure, e.g., by the usage of an outdated algorithm, a constant initialization vector, or an inappropriate hashing algorithm. Two different studies [1], [2] have recently shown that 88% to 95% of those applications using Crypto APIs are insecure due to misuses. To facilitate further research on these kinds of misuses, we created a collection of 201 misuses found in real-world applications along with a classification of those misuses. In the provided dataset, each misuse consists of the corresponding open-source project, the project's build information, a description of the misuse, and the misuse's location. Further, we integrated our dataset into MUBench [3], a benchmark for API misuse detection. Our dataset provides a foundation for research on Crypto API misuses. For example, it can be used to evaluate the precision and recall of detection tools, as a foundation for studies related to Crypto API misuses, or as a training set.
SOCIAL INTELLIGENCE AS A PREREQUISITE FOR SUCCESSFUL LEADERSHIP

According to the generally accepted behavioral leadership theories, effective leaders need to have high-profile competencies as well as relationships. In almost every specification of these competencies, one encounter, to a greater or lesser extent, the characteristics that are related to the social sphere of work and may also be related to social intelligence. The presented contribution, therefore, addresses the issue of leadership and social intelligence in the work process. It presents research the main objective of which was to analyze the prerequisites and qualities that can lead to successful leadership. Part of this objective was to reveal the links between the perceptions of an individual ́s ability to become a successful leader and social intelligence. The research results acquired from the sample of 115 respondents by means of an own leadership perception questionnaire and the social intelligence methodology TSIS [1] prove that socially intelligent leaders are more future-oriented and work hard to improve their leadership skills.
Initial Development and Validation of the Multidimensional Strong Black Woman Scale

The unique experiences of African American women are well documented through intersectionality research. Taking an intersectional framework, this study is designed to develop and initially validate a new scale, the Multidimensional Strong Black Woman Scale. The Strong Black Woman is characterized by strength, resilience, independence, stoicism, and caretaking. This schema is adopted by many African American women to combat negative racial stereotypes, born out of slavery and discrimination. The Strong Black Woman often neglects her own mental and physical health in order to care for others, and delays help-seeking behaviors. This has a negative impact on mental health. The strong Black woman schema has been measured over the years in several ways. However, most measures have neglected to address important cultural dimensions including faith, race, and femininity. The Multidimensional Strong Black Woman Scale integrates the characteristics of the Strong Black Woman and important cultural dimensions. Exploratory Factor Analysis resulted in the emergence of six factors: faith, stoicism, femininity, strength, independence, and caretaking. Consistent with research, faith and strength were significantly positively correlated with self-esteem, and negatively correlated with depression, anxiety, and stress. Stoicism was significantly negatively correlated with self-esteem, and significantly positively correlated with depression and stress. Results indicate no significant relationship between the factors of femininity, independence, or caretaking and the mental health measures. Consistent with intersectionality research, African American women and Caucasian women in the sample scored significantly different on four of the six factors of the Multidimensional Strong Black Woman Scale.
Molecular survey of Anaplasma and Ehrlichia species in cattle from Karaman, Turkey, including a novel tandem report of Anaplasma marginale MSP1a gene

Kene kaynakli patojenler evcil ve yabani hayvanlarda ciddi saglik problemlerine ve verim kaybina neden olur. Karaman ilindeki sigirlarda Anaplasma / Ehrlichia (A/E) ile enfeksiyon sikligini saptamak icin molekuler bir calisma yapildi. Venoz kan numuneleri gorunuste saglikli olan 150 sigirdan 2016 yilinda alinmistir. A/E turlerinin 16S rRNA geninin degisken V1 bolgesi amplifiye edildikten sonra tur spesifik problar kullanilarak reverse line blot (RLB) deneyi gerceklestirilmistir. Bazi ornekler sadece A/E probuna sinyal verdiginden, ornekler Anaplasma marginale'nin major surface proteinleri (MSPs) acisindan analiz edilmistir. A. marginale'nin msp1α gen dizileri icin genetik cesitlilik ve tandem tekrar analizi yapildi. Mikroskobik inceleme ile dort (%2.66) hayvanda Anaplasma benzeri cisimler tespit edildi. Anaplasma centrale RLB ile sekiz (%5.33) hayvanda tespit edildi. Ornekler semi-nested PZR ile A. marginale msp1a geni acisindan incelediginde, toplam dokuz (%6.00) hayvanin [6'si (%4.00) RLB ile A. centrale acisindan pozitif olan] A. marginale ile enfekte oldugu bulunmustur. Ek olarak, MSP1a amplikonlarinin dizileri bir tane yeni tandem tekrari (Tr70) ortaya cikardi. Bu sonuclara gore Karaman ilindeki sigirlarda A. marginale ve A. centrale'nin bulundugu tespit edilmis ve bu calisma bolgedeki sigirlarda bir yeni tandem tekrari ile A. marginale’nin genetik cesitliliginin ilk kanitini saglamistir.
Penggunaan Asesmen Elektronik Berbasis Edmodo Sebagai Assessment for Learning Keterampilan Abad 21

Keterampilan abad 21 adalah keterampilan yang perlu dikuasai siswa dalam era globalisasi. Penguasaan keterampilan abad 21 sangat menentukan kelulushidupan generasi Indonesia di masa depan. Keterampilan memecahkan masalah merupakan salah satu keterampilan penting abad ke-21. Oleh sebab itu, penelitian ini difokuskan pada keterampilan memecahkan masalah abad 21. Pengembangan keterampilan abad 21 pada siswa tidak akan berhasil jika asesmen yang digunakan tidak sesuai. Siswa tidak akan memperoleh umpan balik yang tepat untuk perbaikan pembelajarannya. Inovasi pembelajaran yang dilakukan tidak akan berhasil jika asesmen yang digunakan tidak tepat. Sesuai tantangan global dewasa ini, penelitian ini mengembangkan asesmen berbasis ICT yang tidak hanya mengukur keterampilan kognitif siswa, akan tetapi juga mengembangkannya. Model asesmen dikembangkan dengan memanfaatkan aplikasi website berbasis Edmodo. Fitur-fitur asesmen tersebut dapat diakses melalui smartphone. Penelitian ini dilakukan melalui Mixed Method. Penelitian ini telah menghasilkan model asesmen elektronik untuk assessment for learning. Asesmen elektronik tersebut dapat meningkatkan keterampilan memecahkan masalah, sebagai salah satu indikator penting keterampilan abad 21.