Miracle-dz/UniFAR-FTUs huggingface dataset:
Tailoring Magnetic Properties of MAX Phases, a Theoretical Investigation of (Cr2Ti)AlC2 and Cr2AlC

(Cr2Ti)AlC2 is a newly discovered MAX phase with ordered occupations of Ti and Cr atoms on M sites. The Cr-containing MAX phase is expected showing magnetic property, which provides functional applications in spintronics and as self-monitoring smart coating. The magnetic states of (Cr2Ti)AlC2 are predicted by GGA and GGA + U methods and compared to those of Cr2AlC. The ground states are predicted as FM or AFM-XX configurations depending on the calculation methods. Analysis of the electronic structure shows that the magnetic moments mainly originate from the net spins of Cr 3d valence electrons, whereas the contribution of other atoms is negligible. The calculated magnetic moments of Cr atoms in (Cr2Ti)AlC2 are higher than those in Cr2AlC due to the larger distance between the out-plane Cr atoms separated by the intercalated nonmagnetic Ti–C slab. This work provides an insight on tailoring magnetic properties of MAX phases by modifying the crystal structure.
Performance prediction of fuel cells using long short‐term memory recurrent neural network

Performance prediction of proton‐exchange membrane fuel cell (PEMFC) under dynamic conditions, especially for vehicle applications, is increasingly become the focus of attention. This article proposes a performance prediction method of PEMFC using long short‐term memory (LSTM) recurrent neural network (RNN). In this article, polarization curve (current‐voltage curve) and voltage degradation curve (current‐time curve) are adopted as the main performance indexes of PEMFC. Both polarization curve prediction and performance degradation prediction of PEMFC can be effectively implemented based on the LSTM method. To investigate the voltage losses law of experimental and predicted results, the paper introduces an empirical equation of polarization curve. The perfect match between the experimental and predicted polarization losses of PEMFC can further validate the prediction performance of LSTM method. The proposed prediction method is validated by the PEMFC polarization curve data obtained from the designed aging experiment of a 4 kW stack operated under dynamic loading cycling situation during 600 hours. Then, LSTM network is compared with traditional RNN and back‐propagation neural network (BPNN) to prove its superiority. The minimum values of root‐mean‐square error (RMSE) and the mean absolute percentage error (MAPE) of LSTM network with different training data are 0.0088 and 0.0101, respectively. All the coefficient of determination (R2) of LSTM model with different training data is over 0.95, which is close to 1.0. The prediction accuracy of LSTM network is higher than that of two other networks. The result indicates that LSTM network outperforms two other networks in PEMFC performance prediction. Hence, the prediction method based on LSTM network is very suitable for PEMFC performance prediction.
How interventions in master plans affect public transport competitiveness versus cars: a case study of two small and two medium-sized city regions

ABSTRACT Many spatial master plans aim at reducing car traffic and increasing public transport use, but whether the plans truly promote such development is not obvious because they may also include conflicting objectives. The purpose of this article is to propose and use a theory-based framework to analyze and discuss the possible effects of planned development in master plans on public transport competitiveness versus cars. Official planning documents and interviews with local planners in the city regions of Stavanger, Trondheim, Hamar, and Haugesund were interpreted using theory on causal mechanisms and previous empirical studies on the built environment and travel behavior. A simple map analysis was also conducted. The study revealed that all the case city regions’ master plans contain interventions that are both negative and positive for public transport competitiveness. Conflicting interventions often reduce such competitiveness. The possible effects of interventions also largely depend on their context, dimension, and location.
Automatic Plant Identification Using Transfer Learning

Plant identification is a widely researched area in the field of computer vision. Many attempts have been made to automate the process of plant identification using an image of a part of plant including flower, leaf and bark. Leaf has proven be the most reliable source of information. After exhaustive experiments, we chose to apply transfer learning to compare the feature extraction capabilities of VGG-16, Xception, MobileNetV2 Convolutional Neural Network (CNN) and DenseNet121 architectures to freely available Swedish, Flavia and MalayaKew leaf image datasets. Random Forest is used as classifier to identify the species of given leaf. The evaluations and comparisons of the specified feature extractor models are provided. DenseNet121 achieved maximum accuracy of 100%, 99% and 92.4% respectively in the three datasets.
Water safety plan: a novel approach to evaluate the efficiency of the water supply system in Garmsar

Access to an improved water supply is essential for health. The water safety plan (WSP) approach developed by the World Health Organization (WHO) can provide safe drinking water. This study evaluated the progress of the Garmsar drinking water supply system (DWSS) through WSP. First, using the WSP quality assurance (QA) tool and its checklist, the implementation rate of this approach was examined. After classifying the most critical risks, the reliability of the risks was obtained with intra-class correlation coefficient (ICC), and then the risks were prioritized and evaluated by the semi-quantitative matrix recommended by WHO. The results showed that 80.4% of the drinking water was supplied from the system under study, and six persons (13.95%) participated in the implementation of the WSP team. The “system description” and “verification” steps with scores of 75% and 65%, respectively, had the highest levels of compliance, and the “supporting programs” and “review of the WSP” steps with scores of 29% and 25%, respectively, had the least consistent with WSP. The points obtained by the catchment, treatment, distribution, and point of use were 43%, 38%, 35%, and 35%, respectively. Risk identification demonstrated that “direct discharge of wastewater/ sewage in the sources by the villagers living in the basin in the catchment area” had poor reliability (ICC = 0.25), and so it was discarded. The risk assessment of the DWSS identified the “microbial contamination, pesticides, and fertilizer caused by agricultural use and activities in the catchment area” as high-risk. The lack of implementation of some steps in this program prevented the realization of many goals of this approach. The awareness of drinking water supply organizations with the aims and benefits of this program and increasing the skill of the WSP team can enhance these conditions.
A Novel Lyapunov functional with application to stability analysis of neutral systems with nonlinear disturbances

It is well-known that the global asymptotic stability analysis of neutral systems is an important concept in designing the appropriate controllers or filters for this class of systems. This paper carries out a delay-independent stability analysis of neutral systems possessing discrete time delays in the states and discrete neutral delays in the time derivative of the states in the presence of nonlinear disturbances. Some new global asymptotic stability criteria are proposed by introducing a novel Lyapunov functional. The obtained delay-independent stability criteria establish some simple and easily verifiable mathematical expressions involving the elements of the system matrices and the disturbance parameters of the neutral system. Different from the most of the previously reported stability results for neutral systems, the conditions obtained in this paper are not expressed in terms the Linear Matrix Inequalities (LMIs). Therefore, the criteria presented in this paper can be considered as the alternative results to previously published stability results stated in the LMI forms. A comparison between the results of this paper and some of previously published corresponding stability results is made to substantiate the significant improvement of the proposed results. A constructive numerical example is also presented to show applicability and the effectiveness of the proposed stability condition.
Drug use and motivation for treatment in patrons of selected bunks in Uyo, Nigeria: a qualitative perspective

ABSTRACT Introduction: Bunk patrons constitute a high-risk drug user group in Nigeria but perspectives of this hard-to-reach population have neither been empirically investigated nor properly documented. Exploring the issues of drug use and motivation for treatment from the perspectives of this population is important to understanding the various dimensions of the problem and proffering evidence-based solutions. Material and methods: Utilizing a qualitative approach, focus group discussion and in-depth interviews were conducted with patrons of three bunks in Uyo, Akwa Ibom State. Results: Participants had used different types of drugs and substances for more than 8 years. Although not all participants were injecting drug users, majority had injected drugs. Popular drugs in the bunks included cannabis, heroin, alcohol, cigarettes, opiates, cocaine, amphetamine, aphrodisiacs, codeine, tramadol and Rohypnol. Most participants were polydrug users. The motivation for treatment was high although very few had ever been in treatment due to a number of reasons. Discussion/conclusions: The need for urgent intervention for this population, especially provision of affordable and accessible treatment, was emphasized.
Which aspects of their practice do modern languages teachers in England’s secondary schools say they want to develop?

ABSTRACT This study draws on teacher perception data gathered from 65 secondary school modern languages (L2) teachers in South-East England. Data were collected via four iterations of an online questionnaire and follow-up interviews with six heads of department. This paper reports respondents’ perceived strengths and development needs in relation to their classroom practice, including: L2 teachers’ sense of self-efficacy for classroom teaching and the stability of this self-assessment over the course of an academic year; the extent to which teachers felt that their classroom practices aligned with research-informed understandings about how languages are learned; teachers’ self-identified priorities for further development; and their reasons for these choices. The L2 teachers in this study reported generally strong self-efficacy scores for teaching, although scores for self-efficacy in fostering pupil engagement tended to be lower. A gap was found between teachers’ endorsement of research-informed language teaching principles and their enactment of these principles in their classrooms. Many teachers reported that they would value support in developing their pupils’ spoken use of the L2. Teachers highlighted spontaneity and fluency as the key speaking skills in need of development, and these priorities were highlighted by teachers at all schools and at all stages of their career.
Sol-gel method of synthesis and characterization of some mixed-oxide nanocomposites

Nanosized crystallites of the mixed oxides BaCuO 2 (1), BaNiO 2 (2), Ba 2 Co 4 O 7,8 (3) and Ba 2 CuCe 2 O 7 (4) were synthesized by comparatively inexpensive route: Sol-Gel method. The particle size and morphology were studied by Scanning Electron Microscopy (SEM). The crystallinity, average crystalline size and phase purity of the prepared nanocomposites were analyzed by powder X-ray diffraction technique (XRD). The results indicated that all the samples had good crystallinity and composed of multiple phases with the exception of BaNiO 2 . The average crystalline sizes were found to be in the range 29-44 nm. Impedance measurements in the temperature range 303-363 K reveal decrease of bulk resistance (R b ) with increase of temperature upto 333 K, indicating semiconducting behaviour in this temperature range. The energy gap (Eg) measurements via Four-Probe setup instrument reveal that they fall in the range 0.15-2.15 eV.
TPACK’s pedagogy and the gradual release of responsibility model coalesce: integrating technology into literacy teacher preparation

Abstract This study explored how the pedagogical knowledge construct of TPACK and a scaffolded use of the gradual release of responsibility framework helped preservice teachers design literacy instruction with the iPad. This qualitative study used an interpretivist approach and case study design to closely examine each participant’s (n = 38) experience to use the iPad to plan instruction. Data were triangulated with observation logs, individual surveys, and lesson artifacts. Thematic analysis revealed three themes: Teacher in Control pedagogical approach raised preservice teachers’ concerns about instructional planning; Teacher as Facilitator pedagogical approach led to increased user confidence and exploration; Problem-based Learning pedagogical approach led to in-depth design of comprehensive lessons for individualized student populations. Other teacher educators can adopt this approach when introducing students to technology.
Assessment methods of vastus lateralis muscle architecture using panoramic ultrasound: a new approach, test-retest reliability and measurement error

Abstract Extended-field-of-view ultrasonography is a valid alternative to determine the dimensions of the skeletal striated muscle; however, some factors may influence the final measurement. The aim of this study was to determine the test-retest reliability and measurement error of vastus lateralis muscle architecture variables through internal anatomical landmarks and to compare three fixed determined points using extended-field-of-view ultrasonography. Twelve young (24 ± 6 years) adult university male students participated in the study. Images were obtained through extended-field-of-view ultrasonography of the vastus lateralis muscle. Measurements were made for muscle thickness (MT), fascicle length (FL), and fascicle pennation angle (FA) using a method that identifies internal anatomical landmarks. MT was also measured at predetermined distances of 2 cm proximal, 6 cm proximal, and 2 cm distal. One-way ANOVA with repeated measures did not identify any test-retest significant differences for all variables measured. Typical measurement error in centimeters (cm) or degrees (º), coefficient of variation in percentage (%) and intraclass correlation coefficient were MT = 0.07 cm, 2.93%, 0.964; FL = 0.31 cm, 2.89%, 0.947; FA = 0.92°, 4.08%, 0.942; MT 2 cm proximal = 0.10 cm, 3.77%, 0.910; MT 6 cm proximal = 0.27 cm, 9.66%, 0.576; MT 2 cm distal = 0.35 cm, 19.76%, 0.564. MT, FL and FA showed high reliability and low measurement error. Internal anatomical landmarks proved to be more reliable and presented smaller measurement errors when compared to the predetermined distances method.
Training simulators for manufacturing processes: Literature review and systematisation of applicability factors

Training simulators are fundamental for training in areas, such as aviation, medicine, and the military. While new applications emerge in conjunction with the development of human–machine interface (HMI) technologies, only a few applications for manufacturing processes are used in industrial practice. This study provides a literature review on simulation‐based training in manufacturing processes and applies the definitions of DIN 8580:2003 to structure the research. The identified applications are further analysed regarding their HMI design and the process‐related benefits and limitations that were described within the publications. Although 202 applications were found, most focus on a small number of processes, and the others rarely mature past the prototype stage. The distribution implies that certain process‐specific factors impact the applicability of simulation‐based training in manufacturing processes. In this context, applicability factors are defined as characteristics of the original training process that affect the training adversely and that can be avoided or reduced in a training simulation. A systematisation of these applicability factors is developed as a step towards a process analysis methodology.
Image of women in Novels by Okky Madasary

This research is descriptive qualitative research using the feminist literary criticism approach. The subject of this research are three novels by Okky Madasari which are titled: 1) Maryam, 2) 86, and 3) Entrok. The technique of data collecting used in this research is to study the library read the note, conducted by reading carefully and repeated thoroughly and classifying the data obtained based on women’s image. Analyzing data in this research use the descriptive qualitative method. The research finding in the form of physical women’s image, the image of women’s psychic and the role of women consisting of domestic and public areas. Domestic roles include as a child, wife, and mother. The role of women in the public domain consists of the educator, economic, and social movement sectors.
Depression Detection from Social Media Posts Using Multinomial Naive Theorem

All 350+ million people worldwide are suffering from mental disorder called Depression. An individual who is suffering from depression functions below average in life, is vulnerable to other diseases and in the worst-case, depression leads to suicide. There are many restraints preventing expert care from reaching people suffering from depression in time. Impediments such as social stigma associated with mental disorders, lack of trained health-care professionals and ignorance of the signs of depression owing to a lack of awareness of the disease. The World Health Organization (WHO) suggests that people who are depressed are regularly not correctly diagnosed and others s who are misdiagnosed are prescribed antidepressants. Thus, there is a strong need to automatically assess the risk of depression. Social media platforms increasingly come closer to become a true digitization of the human social experience. In many cases people would in fact prefer to express themselves online than offline. In this paper, we are using Facebook comments as data set, and based on it categorizing the users as depressed or non-depressed.
Prussian blue as positive electrode material for aqueous sodium-ion capacitor with excellent performance

High-quality Prussian blue (PB), whose crystals have a small number of vacancies, is synthesized by utilizing Na4Fe(CN)6 as the only precursor. It is demonstrated that the crystals have an important influence on electrochemical performance. The PB electrode exhibits a specific capacity as high as 107 mA h g−1 at a current density of 0.5 A g−1 without apparent capacity loss after 1100 cycles in 0.5 mol L−1 Na2SO4 aqueous solution due to fewer vacancies. Furthermore, a sodium-ion capacitor is also fabricated by combining the PB as a positive electrode and activated carbon as a negative electrode. It can operate at a cell voltage as high as 1.8 V with an energy density of 30 W h kg−1. The capacitor displays not only high energy density but also excellent cycling stability because the as-prepared PB has outstanding ion storage capability and excellent structural stability. These results show that the PB is a promising candidate for aqueous sodium-ion capacitors.
Generalized quasi-likelihood estimation procedure for non-stationary over-dispersed longitudinal counts

Poisson log-linear regression model is commonly used for analysing count data. Valid inference based on this model can be drawn when the mean and variance of the data are equal. However, in practice variance of responses is often much greater than the mean of the responses, known as over-dispersion. Also, non-stationarity, i.e. non-constant mean, or/and non-constant variance, and/or covariance that is not solely the function of elapsed time between responses over the period of study, is another issue in the longitudinal study. It has been found that ignoring such departures may arise bias and provide misleading conclusions. As a remedy, negative binomial (NB) regression was suggested by the researcher for modelling longitudinal count. For longitudinal non-stationary count with over-dispersion, there is no established observation-driven model in the literature. Although there exists a non-stationary NB type model in the time series context, this type of observation-driven model has never been used in longitudinal data. In this paper, we have extended the non-stationary model to the longitudinal set-up and proposed a GQL estimation procedure for estimating regression parameters. An extensive simulation study has been carried out through which it has been shown that GQL provides unbiased estimates of the regression parameters. Performance of the method of moment approach for estimating correlation and over-dispersion parameter has also found to be consistent. The proposed model and estimation technique, thereafter, was applied to analyse longitudinal epileptic seizure count data.
An Experience on Pomalidomide in Patients within Relapsed/Refractory Multiple Myeloma - A Multicenter Study in Turkey

Department of Hematology, Inonu University, Malatya, Turkey. Department of Hematology, University of Health Sciences, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey. Department of Hematology, Firat University, Elazig, Turkey. Department of Hematology & Apheresis Unit, University of Health Sciences, Ankara Oncology Training and Research Hospital, Ankara, Turkey. Department of Hematology, Selcuk University, Konya, Turkey. Department of Hematology, Sakarya University, Sakarya, Turkey. Department of Hematology, Liv Hospital Ulus, Istanbul, Turkey. Department of Hematology, Izmir Bozyaka Training and Research Hospital, Izmir, Turkey. Department of Hematology, University of Health Sciences, Kartal Dr. Lutfi Kirdar City Hospital, Istanbul, Turkey. Department of Hematology, University of Health Sciences, Diskapi Yildirim Beyazit Training and Research Hospital, Ankara, Turkey. Department of Hematology, Meram Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey. Department of Hematology, Ondokuz Mayis University, Samsun, Turkey. Department of Internal Medicine, Division of Hematology, School of Medicine, Near East University, Nicosia, Cyprus. Department of Hematology & Apheresis Unit, University of Health Sciences, Kayseri City Training and Research Hospital, Kayseri, Turkey. Department of Hematology, Medical Park Antalya Hospital, Antalya, Turkey. Department of Internal Medicine, Division of Hematology, School of Medicine, Ankara Yildirim Beyazit University, Ankara, Turkey.