Miracle-dz/UniFAR-FTUs huggingface dataset:
ASSESSING THE READINESS OF RELATIVES TO UNDERGO CASCADE GENETIC TESTING FOR INHERITED PREDISPOSITIONS TO CANCER USING THE TRANSTHEORETICAL MODEL STAGES OF CHANGE

Purpose: To explore the readiness of living, untested first-degree relatives (FDRs) to have cascade genetic testing (CGT) for a hereditary predisposition to cancer. Methods: Adults with a hereditary predisposition to cancer completed an anonymous, online survey about their genetic testing and the vital status, awareness of the variant, and uptake of CGT among FDRs, and readiness for CGT among living, untested FDRs using Transtheoretical Model Stages of Change. Results: One hundred-fifty participants completed the survey and reported 825 FDRs. Overall, 70.3% of FDRs were aware of the variant and 30.5% had completed CGT. Siblings had higher rates of awareness and CGT than parents or children (p<0.001). Relatives’ sex was associated with awareness and CGT; mothers were aware and had CGT at higher rates than fathers (p=0.049 and p<0.001), sisters were aware and had CGT at higher rates than brothers (p=0.041 and p=0.002), and daughters had higher rates of awareness than sons (p=0.038). Of 340 living, untested FDRs, 79.4% were in the precontemplation stage of change, with no difference by relatives’ sex or relationship to the participant. Conclusion: Most living, untested FDRs were in precontemplation stage, indicating they are not ready or planning to have CGT within the next six months.
Image fusion based on convolution sparse representation and pulse coupled neural network in non-subsampled contourlet domain

In sparse representation, image data can be described as a linear combination of basis function. The sparse representation of image data is sparsely described in data blocks, disturbing the continuity between the data blocks, causing coding redundancy and blurring of details. Using a convolutional sparse representation, the image can be sparsely coded in its entirety, and the image sparse coding is performed by replacing the product of the coding coefficient and the dictionary matrix by the convolution sum of the characteristic response and the filter dictionary to achieve an optimised representation of the entire image. In view of the above defects, this paper studies a fusion technique based on convolutional sparse representation and NSCT-PCNN (abbreviated as NSCT-CSR-PCNN fusion algorithm) and uses it in the image processing field. The algorithm uses the alternating direction method of multipliers (ADMM) instead of the orthogonal matching pursuit (OMP) algorithm to perform sparse approximation of low frequency sub-band to obtain the characteristic response coefficients and complete the fusion of low frequency sub-band. Experimental results show that the fusion effect of NSCT-CSR-PCNN algorithm is better than other algorithms. The fusion image has good visual effect with clear texture, high discrimination and high contrast.
Typology Taxpayers in Indonesia

Taxpayers feel that tax is a cost that reduces their economic power and thus, taxpayers show resistance through tax evasion. Therefore, tax authorities in Indonesia need to understand the behavior of taxpayers to anticipate their involvement in tax evasion. From this situation, this study aims to classify taxpayers into groups with similar behavior toward tax evasion. This classification is based on taxpayers intention and attitude as well as a combination of several factors: subjective norms, relations with tax authority, and distributive justice. We used Cluster Analysis Method to analyze data in this study. This method classifies object or variable into several groups in which they have resembling attribute and characteristic. Data were collected using a selfadministered questionnaire both from direct interviews and from the google form application. Clustering results in five groups of taxpayers, namely Commitment, Sycophant, Submission, Offender, and Defrauder groups. The commitment is a group of taxpayers who obeys tax regulations voluntarily. The Sycophant are taxpayers who tend to take advantage of their good relations with the tax authorities in completing tax obligations. The Submission are taxpayers who initially want to commit tax evasion but in fact still choose to obey. Offender are taxpayers who commit tax evasion by exploiting weaknesses in tax regulations. The last group is Defrauder, namely taxpayers who have the intention to commit tax evasion from the beginning. The results of this study will show a pattern of similarities in taxpayer behavior that can help tax authorities in Indonesia to formulate tax regulations in anticipation of taxpayer
Antecedents and an Outcome of Customer Engagement With Hotel Brand Community on Facebook

The purpose of this study is to examine customer–brand experience and customer involvement as two drivers of customer engagement (CE) and investigate brand relationship quality as a major outcome of CE with a hotel’s Facebook brand community. It is essential for hotel marketers to understand more about how to engage customers with brand communities embedded in Facebook, to understand what the antecedents of such engagements are, and to recognize what outcomes they can gain from engaged customers. This article adopts structural equation modeling and analyzes data collected from a sample of 347 Facebook users who are hotel customers. The results of the empirical research confirm the significant effect of the two antecedents on CE and the role of engaging customers in building customer–brand relationships. Furthermore, CE with hotel brand communities embedded in Facebook has a mediating effect on the path from customer–brand experience to brand relationship quality.
The Effectiveness of Christian Accommodative Mindfulness in the Treatment of Shame

Shame is a destructive moral emotion experienced by a vast majority of the population and is found at the core of numerous mental illnesses and spiritual crises. Unfortunately, Christians seeking help for these conditions are often left with unmet cultural needs in the process of treatment, potentially hindering full healing or even entrance into needed treatment. The current small N time series case study research addresses this dilemma utilizing a culturally accommodated form of mindfulness, which is an existing treatment known to promote healing in the physical and mental health realms. Mindfulness has been demonstrated to be useful in the treatment of a multitude of mental health conditions as well as in reducing the experience of shame; therefore, this intervention was adapted to incorporate constructs common to the Christian culture and protocols were created to be used with Christians at a community-based Christian psychotherapy clinic. Utilizing a set of Christian Accommodative Mindfulness (CAM) meditations and exercises, levels of shame, depression, anxiety and resiliency were measured using psychometrically researched scales to determine the effect of CAM on the clinical presentation of recipients of professional counseling. Results of the study demonstrated that mindfulness was able to be successfully adapted for and delivered to Christian clients seeking therapy for depression or anxiety in an outpatient clinic with significant desired effect to decrease shame, depression and anxiety as well as to increase resiliency. These findings provide initial empirical support for the development and utilization of mindfulness interventions that are culturally sensitive to the unique worldview of the Christian clinical population. Future research considerations and recommendations are provided.
Robust Current Estimation Applied to the Multiloop Resonant Control of Uninterruptible Power Supplies

This paper addresses the use of inductor current estimators in the multiloop control of uninterruptible power supplies (UPS), assuming that only the output voltage is available for feedback and taking into account the robustness against load variations. Resonant and proportional controllers are assumed to regulate the voltage and inductor current loops, respectively. Conditions to independently design estimator and controller gains are provided, allowing the use of the proposed estimator in preexisting control schemes. Closed-loop stability under estimated current feedback is assessed a posteriori. Simulation results for a single-phase 3.5 kVA UPS show compliance with the IEC 62040 standard.
Effect of Problem-solving Teaching Technique on Students’ Stoichiometry Academic Performance in Senior Secondary School Chemistry in Nigeria

Aims: This study addressed the effect of problem-solving technique on students’ academic performance in stoichiometry in Senior Secondary Schools in Port Harcourt, Rivers State Nigeria. Study Design: Quasi-experimental design specifically pre-test post-test control groups non-randomized design was adopted. Place and Duration of Study: Senior Secondary Schools in Port Harcourt Local Government Area of Rivers State located at the South-South Geopolitical Zone of Nigeria and lasted for four weeks. Methodology: The population comprised of 520 senior secondary 2 chemistry students from private and public schools. 105 SS2 chemistry students representing 61 males and 44 females from intact classes of selected schools formed the sample. The instrument was Stoichiometry Achievement Test developed by the researcher and reliability coefficient calculated to be 0.79. Three research questions and three hypotheses were used in the study. Mean and standard deviation were used to answer the research questions while the hypotheses were tested using Analysis of Variance at . 05 level of significance. Results: Findings of the study revealed a significant difference in performance between students taught stoichiometry using problem-solving technique (experimental) and those taught using conventional lecture method (control). Students exposed to problem-solving technique obtained higher score in performance test than those in conventional lecture method. Furthermore, there was a significant difference in students’ performance based on gender (male and female) and school type (private and public). Conclusion: The study therefore, concludes that problem-solving technique is more effective and enhance students understanding than traditional lecture method. The study recommended that chemistry teachers should incorporate problem-solving in teaching stoichiometry and related concepts and present curriculum should be reviewed to recommend problem-solving technique.
Alkalinity and dissolved inorganic carbon exports from tropical and subtropical river catchments discharging to the Great Barrier Reef, Australia

Dissolved inorganic carbon (DIC) transport by rivers is an important control on the pH and carbonate chemistry of the coastal ocean. Here, we combine DIC and total alkalinity (TAlk) concentrations from four tropical rivers of the Great Barrier Reef region in Australia with daily river discharge to quantify annual river loads and export rates. DIC in the four rivers ranged from 284 to 2,639 μmol kg−1 and TAlk ranged from 220 to 2,612 μmol kg−1. DIC:TAlk ratios were mostly greater than one suggesting elevated exports of free [CO2*]. This was pronounced in the Johnstone and Herbert rivers of the tropical wet north. The largest annual loads were transported in the two large river catchments of the southern Great Barrier Reef region, the Fitzroy and Burdekin rivers. The carbon stable isotopic composition of DIC suggests that carbonate weathering was the dominant source of DIC in the southern rivers, and silicate weathering was likely a source of DIC in the northern Wet Tropics rivers. Annual loads and export rates were strongly driven by precipitation and discharge patterns, the occurrence of tropical cyclones, and associated flooding events, as well as distinct seasonal dry and wet periods. As such, short‐lived hydrological events and long‐term (seasonal and inter‐annual) variation of DIC and TAlk that are pronounced in rivers of the tropical and subtropical wet and dry climate zone should be accounted for when assessing inorganic carbon loads to the coastal ocean and the potential to buffer against or accelerate ocean acidification.
Perceived Opportunities by Social Enterprises and their Effects on Innovation

Social enterprises can play an important role in reducing inequality within a society and can also contribute to long-term economic development. Using a database based on the responses of 220 Hungarian social enterprises we first identify the business opportunities that they perceive. We conclude that social enterprises operating in different legal forms have different perceptions of their opportunities, and we speculate that this has an effect on their innovation activity as well. It is striking that – with the exception of social cooperatives – none of the Hungarian social enterprises see current or future social and/or market needs and demand as a major opportunity. This suggests that only social cooperatives have the incentive to focus their innovation efforts on social and market needs. Almost all social enterprises, on the other hand, have high expectation for European Union funds; the threat is that social innovation is driven by the targets set by the authorities allocating European funds, instead of the needs of the society.
A Hyperspectral Image NSST-HMF Model and Its Application in HS-Pansharpening

The high spectral resolution of hyperspectral (HS) images provides the possibility of omnidirectional feature identification of objects. However, the high-dimensional features and the high redundancy information properties make data processing and the application of HS images extremely challenging. Thus, effectively expressing and correlating the intrinsic correlations of HS images by establishing a statistical model is of great significance. This article proposes a nonsubsampled shearlet transform hidden Markov forest (NSST-HMF) model. This new approach has three key characteristics: 1) the statistical properties of the NSST coefficients are studied in the spatial and spectral directions, respectively, and the “clustering” and “aggregation” properties are observed in both directions; 2) the HMF structure is proposed to depict the multidimensional collaborative correlation of the HS image NSST coefficients, and the proposed method considers the multidirectional transfer relationships among the Markov structure of HS images NSST coefficient for the first time, which significantly improves the prediction ability of the model; and 3) a novel HS-pansharpening approach based on the NSST-HMF model and amplitude modulation of large state probability in the high-frequency subband direction region is proposed. Experimental results show that our method can efficiently improve the spatial resolution of HS images while simultaneously preserving their spectral features. The HMF structure is first proposed in this article, which provides a way to depict the collaborative correlation of multichannel images.
What about context in internal brand management? Understanding employee brand commitment in the public sector

ABSTRACT Branding has become an established means for many public sector organisations to support the desired perceptions of the organisation. While branding is often presented as useful and advantageous for the organisations, this study cautions against oversimplifying the issue. By focusing on the perspective of employees, this case study investigates contextual factors that influence the affective outcome of internal brand management, employee brand commitment, in the public sector. The findings reveal the critical importance of the identity and values of an organisation and its employees, and its leadership, in the form of political governance. These factors may have considerable influence on both the implementation and the key principles of public sector branding, not least its internal brand management.
Hybrid Series Converter: A DC Fault-Tolerant HVDC Converter With Wide Operating Range

A compact, efficient and dc fault-tolerant hybrid series converter (HSC) topology is proposed in this article for high-voltage direct current (HVdc) applications. It contains a parallel and a series chain link (CL) per phase. The parallel CL (PCL) supports the dc-link, whereas the series CL (SCL) enables the HSC to have enhanced operating range and dc fault-tolerant capabilities. A new control technique is proposed to control the SCL submodules (SMs) capacitor voltage for its entire operating range. The performance of HSC and its control technique is evaluated using PSCAD/EMTDC for various conditions. The capability of HSC to work in the undermodulation and overmodulation index range and for HVdc system is examined. Furthermore, the response of HSC during pole-to-pole dc fault and ac faults is analyzed to substantiate its dc fault blocking and ac fault ride-through capabilities. The results obtained validate that the HSC exhibits superior performance over the existing ones. The SMs’ capacitor size design methodology in HSC and for other existing topologies is described. The loss calculation of the HSC is carried out to determine its efficiency and is compared with the prominent converter topologies. A three-phase 13-level HSC experimental setup is developed to validate its feasibility and also to reconfirm the simulation outcomes.
A Study on the Improvement of Parallel Operation Characteristics of DC/DC Converter Using Improved Full-Duplex Communication Hardware

Recently, as dependence and demand for electricity are rapidly increasing in all areas, including industry, methods for increasing capacity and reliability through parallel operations have been studied. In general, Modbus communication method with RS485 is used as a method of parallel operation for capacity increase. However, this method has a disadvantage in that it is a half-duplex communication system that cannot transmit and receive at the same time. However, the Modbus communication method is a half-duplex communication system where physical transmission and reception cannot be performed simultaneously. Therefore, as the number of power converters performing parallel operation increases, the communication period increases, which affects the power quality due to the decrease in control speed. Therefore, in this paper, we propose a hardware that can achieve a full-duplex communication method by a communication signal level to improve power quality. The characteristic of the proposed communication hardware is that the transmitter generates two-level signals for data transmission, but the receiver generates three-level electrical signals according to the state of the transmission data generated by the receiver. The generated three-level electrical signal is characterized in that the data transmission signal information of the transmitter and the data transmission signal information of the receiver occur at the same time. As a result, the communication speed is reduced by more than twice, which improves the power quality by improving the control characteristics when performing parallel operation.
A theory of torsion of thin-walled beams of arbitrary open sections with influence of shear

Abstract A novel theory of torsion of thin walled beams (“shear deformable beams”) of arbitrary open cross-sections with influence of shear (TTTS) is presented. The theory is based on the classical Vlasov’s theory of thin-walled beams of open cross-section, as well on the Timoshenko’s beam bending theory. The theory is valid for general thin-walled open cross-section shapes, for distributed and concentrated transverse torsion loads and for isotropic materials. Four parameters due to shear warping are introduced. Closed-form analytical solutions for three-dimensional expressions of the normal and shear stresses are obtained. Under general transverse loads, reduced to moments of torsion with respect to the cross-section principal pole (by Vlasov’s theory), for arbitrary cross-sections, the beam will be subjected to torsion with influence of shear and in addition to bending due to shear in the beam principal planes and to tension/compression due to shear. The theory is tested by comparing it to the classical Vlasov’s thin-walled beam theory and to the finite element method using shell elements, as well as to some results in literatures.
The effect of low temperatures on the operability of products 20GL steel

The influence of low temperatures on the cold brittleness of 20GL steel is considered. Tests were carried out on the impact strength of samples of 20GL steel in the temperature range from t = - 60 ° C to a temperature of t = 20 ° C. Fractographic studies of fractures were carried out using optical and electron microscopy. The studies were carried out after normalization, as well as after thermocyclic treatment. The research results showed that thermocyclic treatment leads to an increase in strength characteristics, grain refinement. At the same time, the temperature of the brittle-viscous transition is slightly shifted to the region of positive temperatures.
Incorporating Nearpod in undergraduate financial accounting classes in Egypt

ABSTRACT This paper presents the results of a Classroom Action Research (CAR) on the use of Nearpod, an online platform that facilitates the use of interactive teaching material using mobile devices, to conduct a formative assessment in the classroom. There are two aims of this study. First, exploring the effectiveness of using Nearpod to conduct in-class Multiple-Choice Question (MCQ) quizzes in an introductory undergraduate financial accounting class. Second, exploring its influence on the teaching and learning experiences at one of the top private universities in Egypt. In addition, the research attempted to find out how the instructor’s use of Nearpod in the classroom affected students’ interest in the subject matter and course material when compared to conventional paper and pen quizzes. Results from students’ survey and focus groups indicated that using Nearpod heightened students’ interest in the class and positively affected their learning.
Effective Biophysical Modeling of Cell Free Transcription and Translation Processes

Transcription and translation are at the heart of metabolism and signal transduction. In this study, we developed an effective biophysical modeling approach to simulate transcription and translation processes. We tested this approach by simulating the dynamics of two cell free synthetic circuits. First, we considered a simple circuit in which sigma factor 70 induced the expression of green fluorescent protein. This relatively simple case was then followed by a more complex negative feedback circuit in which two control genes were coupled to the expression of a third reporter gene, green fluorescent protein. While many of the model parameters were estimated from previous biophysical literature, the remaining unknown model parameters for each circuit were estimated from messenger RNA (mRNA) and protein measurements using multi-objective optimization. In particular, either the literature parameter estimates were used directly in the model simulations, or characteristic literature values were used to establish feasible ranges for the multiobjective parameter search. Next, global sensitivity analysis was used to determine the influence of individual model parameters on the expression dynamics. Taken together, the effective biophysical modeling approach captured the expression dynamics, including the transcription dynamics, for the two synthetic cell free circuits. While we considered only two circuits here, this approach could potentially be extended to simulate other genetic circuits in both cell free and whole cell biomolecular applications. The model code, parameters, and analysis scripts are available for download under an MIT software license from the Varnerlab GitHub repository.