Miracle-dz/UniFAR-FTUs huggingface dataset:
Öğretmen Adaylarının Teknoloji Yeterlilikleri ile Teknolojiye Bakış Açısı Arasındaki İlişki

Arastirmada; ogretmen adaylarinin teknolojiye bakis acilari ve teknolojiyi kullanma becerileri duzeyleri belirlenmeye calisilmistir. Calisma; 2018-2019 egitim-ogretim doneminde bir kamu universitesinin, Egitim Fakultesinde ogrenim goren 339 katilimciyla gerceklestirilmistir. Calismada ogrencilerin teknolojiye bakis acilarini olcmek icin Kisa’nin (2002), teknolojiyi egitim amacli kullanabilme beceri duzeylerini olcmek icin Bayraktar’in (2015) gelistirdigi olcekler kullanilmistir. Yapilan analizler sonucunda; katilimcilarin teknolojiye yonelik tutumlarinin olumlu olmasina ragmen, kendilerini teknolojiyi egitim amacli kullanma acisindan yeterli gormedikleri sonucuna varilmistir. Buna ek olarak teknolojiye bakis acisinin cinsiyet ve sinif degiskenine gore, teknoloji kullanim becerilerinin ise ogrenim gordukleri bolume gore farklilastigi tespit edilmistir. Ayrica, teknolojiye bakis acilari ile teknolojiyi kullanma becerileri arasinda pozitif yonlu bir iliski oldugu, teknolojiye bakis acisi olumlu olan ogretmen adaylarinin teknoloji kullanma becerilerinin de dogru yonlu olarak arttigi gorulmektedir.
Inhibitory effect of black raspberry extract on AGE accumulation and degradation, and ROS production in HUVEC cells

Background: A critical event in age-related diseases involves the glycation of various proteins in the animal body to generate advanced glycation end products (AGEs). We have previously found that black raspberry extract (BRE) has effects on age-related diseases. From this observation, we expected that berry extracts, specifically BRE, would have positive effects on AGE-stimulated cell events that link to age-related diseases. Objective: To discuss the potency of berry extracts against diseases attributable to the AGE-dependent changes of cellular events, in this study, we examined the effects of berry extracts on the cellular events changed upon AGE stimulation of human umbilical vein endothelial cells (HUVECs) through AGE receptors. Methods: After HUVECs were incubated with AGE-BSA in the presence of serially diluted berry extracts, mRNA and protein levels of AGE receptors, intracellular AGE accumulation, and ROS production in the cell were determined by qRT-PCR and Western blotting, ELISA, and staining with the fluorescent probe, respectively. Results: Although concentration-dependent effects of berry extracts tested on mRNA levels of AGE receptors in HUVECs were not clear, mRNA level of the AGE receptor RAGE that is involved in the intracellular ROS production was increased by Blabina, which contains BRE, and the well-known anti-glycation compound aminoguanidine (AGD). In contrast, the protein expression level of RAGE was decreased by BRE and Blabina, but not by AGD. It was also found that BRE and Blabina suppressed AGE-BSA-stimulated ROS production in HUVECs. The extent of inhibition in the RAGE protein expression by BRE and Blabina was correlated well with the ROS generation measured in these samples. Conclusions: The results obtained in this study demonstrate that BRE has the most potent inhibitory effect on ROS accumulation in the cell, probably due to the suppression in the expression level of the RAGE protein. These observations suggest that black raspberry could be a potential nutraceutical to prevent various age-related diseases. Keywords: AGEs; RAGE; ROS; black raspberry; HUVECs.
Motion Deblurring in Image Color Enhancement by WGAN

Motion deblurring and image enhancement are active research areas over the years. Although the CNN-based model has an advanced state of the art in motion deblurring and image enhancement, it fails to produce multitask results when challenged with the images of challenging illumination conditions. The key idea of this paper is to introduce a novel multitask learning algorithm for image motion deblurring and color enhancement, which enables us to enhance the color effect of an image while eliminating motion blur. To achieve this, we explore the synchronization of processing two tasks for the first time by using the framework of generative adversarial networks (GANs). We add L1 loss to the generator loss to simulate the model to match the target image at the pixel level. To make the generated image closer to the target image at the visual level, we also integrate perceptual style loss into generator loss. After a lot of experiments, we get an effective configuration scheme. The best model trained for about one week has achieved state-of-the-art performance in both deblurring and enhancement. Also, its image processing speed is approximately 1.75 times faster than the best competitor.
Molecular detection of glutenin and gliadin genes in the domesticated and wild relatives of wheat using allele-specific markers

Glutenin and gliadin subunits play a key role in flour processing quality by network formation in dough. Wild relatives of crops have served as a pool of genetic variation for decades. In this study, 180 accessions from 12 domesticated and wild relatives of wheat were characterized for the glutenin and gliadin genes with allele-specific molecular markers. A total of 24 alleles were detected for the Glu-A3 and Gli-2A loci, which out of 19 amplified products identified as new alleles. Analysis of molecular variance (AMOVA) indicated that 90 and 65% of the genetic diversity were partitioned within two Aegilops and Triticum genera and their species, respectively. Furthermore, all glutenin and gliadin analyzed loci were polymorphic, indicating large genetic diversity within and between the wild species. Our results revealed that allelic variation of Glu-3A and Gli-As.2 is linked to genomic constitutions so that, Ae. caudata (C genome), Ae. neglecta (UM genome), Ae. umbellulata (U genome) and T. urartu (Au genome) harbor wide variation in the studied subunits. Hence, these species can be used in wheat quality breeding programs.
Modeling the Price Stability and Predictability of Post Liberalized Gas Markets Using the Theory of Information

Energy markets in the United States and Europe are getting more liberalized. The question of whether the liberalization of the gas industry in both markets has led to stable prices and less concentrated markets has appealed great interest among the scientific community. This study aims to measure the power and efficiency of an information structure contained in the gas prices time series. This assessment is useful to the oversight duty of regulators in such markets in the post liberalized era. First, econometric and mathematical methods based on game theory, records theory, and Shannon entropy are used to measure the following indicators: level of competition, price stability, and price uncertainty respectively—for both markets. Second, the level of information generated by these indicators is quantified using the information theory. The results of this innovative two-step approach show that the functioning of the European market requires the regulator’s intervention. This intervention is done by applying additional rules to enhance the competitive aspect of the market. This is not that case for the U.S. market. Also, the value of the information contained in both markets’ wholesale gas prices, although in asymmetric terms, is significant, and therefore proves to be an important instrument for the regulators.
Evaluation of Service-Quality Dimensions during Antenatal care in Primary Health Care Centers, Southern Kaduna Senatorial District, Nigeria

Shortage of qualified health care providers, weak health systems characterized by deficiencies of functioning equipment and essential medications, attitude of health workers as well as a range of physical, cultural, and financial barriers have been implicated for inaccessibility of quality care to many women. Poor acceptance of antenatal care is due to pervasive poverty, subordinate role of women, low literacy levels and the non-existent social systems in most developing countries. A cross-sectional, descriptive research design was used and a total of 296 respondents (pregnant women) who met the inclusion criteria participated in the study. A multistage sampling technique was used in selecting the required facilities and sample were selected in proportion with the inflow of clients in the facilities. Data were collected with the aid of questionnaires adapted from Parasuraman etal (1988) and mean of 2.5 was used to ascertain satisfaction on the Likert scales. PHCs in southern Kaduna Senatorial district arevery accessible to the Clients (2.574±0.540) both financially and geographically as well as the opening hours of the clinics. The Clients have full confidence in the health care givers (2.977±0.483). Clients were satisfied with the level of empathy exhibited by the health care givers toward them during antenatal care (3.346±0.688) and that PHCs Centres' care was reliable (3.017±0.346). The mean score (3.043±0.375) shows satisfaction with the responsiveness of the Health care givers to the need of the Clients' during ANC. Clients were satisfied with the general appearance of the health facilities (3.103±0.364). Keywords: Evaluation, Service, Quality, Dimensions, Antenatal
Identification of differentially flat output of underactuated dynamic systems

This paper presents a data-driven algorithm for identification of locally differentially flat output from system output measurements. No detailed mathematical model of the system is needed. Trial output is written as a linear combination of measured outputs. An optimal linear combination is identified so that the trial output achieves the highest relative degree. When the relative degree is equal to the order of the system, the output is flat. The identification is done in the frequency domain by taking advantage of the asymptotic behaviour of transfer functions of linear systems. We have also developed data handling strategies to obtain the best estimate of the relative degree in the presence of measurement noise, high-frequency dynamics and Nyquist digitisation effect. The proposed algorithm is validated by numerical examples and an experimental study of a rotary crane system.
Influence of partial replacement of fish meal and fish oil with vegetable products on the growth and muscle cellularity of juvenile shi drum, Umbrina cirrosa

Seven-month-old shi drum (Umbrina cirrosa) specimens (mean weight 18.98 g, mean length 11.80 cm) were classified into 2 groups, a control group (C) fed a standard diet and a vegetal group (V) fed a diet with partial replacement of fish meal and fish oil by vegetable products. The body and muscle parameters were studied on days 0, 27, and 62 of the experiment. On day 27, body length was similar in both groups, but body weight was significantly lower in group V than in group C. The transverse area of the white muscle was also significantly lower in V than in C. Hypertrophy was higher in C than in V, whereas hyperplasia was higher in V than in C. On day 62, the body parameters showed similar results to those found on day 27. Muscle cellularity was different from that found on day 27, since hypertrophy was higher in V than in C and hyperplasia was higher in C than in V. The feed conversion rate and specific growth rate were similar in both groups, but the daily intake rate was lower in V than in C. Therefore, it seems that the percentage of vegetables in the vegetal feed was excessively high and this caused less acceptance by the fish. The hepatosomatic, viscerosomatic, and intestinal length indices were similar in both groups. Survival was nearly 100% in both groups.
When Teachers Become Students: Impacts of Neuroscience Learning on Elementary Teachers’ Mindset Beliefs, Approach to Learning, Teaching Efficacy, and Grit

Previous research suggests that learning basic neuroscience constructs, especially about the malleability of the brain, impacts middle school and older students’ academic mindset, response to failure and academic persistence. This research targets teacher beliefs using a similar model. Teachers were taught introductory neuroscience concepts related to how the brain learns. Session topics included: basic neurodevelopment, neuroplasticity, sleep and the brain, stress and the brain, exercise and the brain, growth mindset, growth mindset feedback, selfcontrol and grit. Results of this school level intervention suggest significant impacts on teachers’ mindset, teaching efficacy, teachers’ approach to learning and grit. In particular, teacher mindset beliefs significantly increased after the teachers were taught the concepts. Implications for schools and teacher preparation are discussed.
Deep learning approach for wind speed forecasts at turbine locations in a wind farm

In a wind farm, individual turbines disturb the wind field by generating wakes, so wind speeds at various turbine locations are different. From the perspective of wind farm control, there is an interest in dynamic optimization of the power reference for each individual wind turbine, and the wind speed forecast at each turbine location is hence required. This paper develops a joint model of convolutional neural network (CNN) and the gated recurrent units (GRU) to forecast the wind speed at turbine locations. This model employs a two-layer architecture. At the lower-layer, the spatial features are automatically extracted by CNN. The extracted spatial features describe the spatial correlations among multiple wind turbines. At the upper-layer, GRU learns the temporal correlations across the extracted spatial features. This joint model is trained in an integrated manner. A salient characteristic of this model is that it extracts high-level spatial-temporal features from wind data. These automatically learnt features capture the spatial-temporal wind dynamics and interactions in a wind farm, thus being informative and appropriate for the forecasting at specific turbine locations. The simulation on actual data demonstrates the effectiveness of the presented model.
How You Deal with Your Emotions Is How You Drive. Emotion Regulation Strategies, Traffic Offenses, and the Mediating Role of Driving Styles

Past research indicated the importance of traffic safety and driving behaviors for the sustainability of the traffic system. The aim of this study was to examine the effect of emotion regulation on drivers’ tendency to obey or transgress traffic rules. A sample of 554 Romanian drivers completed a set of measures assessing their driving styles, traffic offenses, and their habitual use of three emotion regulation strategies. The results of the mediation analyses showed that two of these strategies, i.e., reappraisal and experiential avoidance, are associated with less traffic offenses, and that specific driving styles mediate these effects. While the behavioral effects of experiential avoidance were mixed in valence, reappraisal was found to diminish the use of maladaptive driving styles and to foster careful driving. Overall, this pattern of results indicates the potential benefits of future interventions aiming to develop drivers’ abilities to regulate their emotions, especially through reappraisal, for increasing traffic safety.
An Augmented Measurement of the Housing Affordability Cycles in Malaysia

Malaysia’s property market has been going through a difficult phase as the supply of property stocks are excessive with the demand unable to catch up, and hence, many unsold units remaining on the market. The primary aim of this paper is to develop an index-based housing affordability indicator known as the housing affordability leading index (HALI), which is based on the indicator compilation approach founded by the National Bureau of Economic Research (NBER). The time-varying Markov switching (TVMS) model is then employed to assess the transition probabilities of the constructed housing affordability indicator. The transition probabilities estimate the prospects of the housing affordability condition and how long it will stay in that particular condition before having any major turnover. As the data employed was monthly data from year 2000 to year 2015, the constructed HALI successfully reflects the prior movements of the non-index housing affordability indicator price to income ratios (PIR). The empirical results show that the HALI has an average leading period of 9.5 months when taking the PIR as a benchmark of coincidence indicator for housing affordability movement.
Tahap Preliminary Research Pengembangan LKPD Matematika Berbasis Konstruktivisme Materi Program Linier

Tujuan penelitian ini adalah melakukan analisis tahap awal dalam mengembangkan Lembar Kerja Peserta Didik berbasis Konstruktivisme untuk memfasilitasi kemampuan pemahaman konsep matematis peserta didik secara optimal. Penelitian ini menggunakan model Borg and Gall yang terdiri dari sepuluh tahap, namun pada penelitian ini hanya dilakukan tahap pertama yaitu tahap preliminary reseacrh. Untuk tahap pertama yaitu tahap awal penelitian dilakukan analisis kebutuhan, analisis peserta didik, analisis kurikulum, analisis konsep, serta analisis bahan ajar yang ada. Berdasarkan hasil analisis pendahuluan, maka dapat diperoleh kesimpulan bahwa untuk dapat mengasah kemampuan pemahaman konsep matematis peserta didik guru membutuhkan perangkat pembelajaranyang dapat membantu memfasilitasi peserta didik untuk menumbuh dan mengembangkan kemampuan pemahaman konsep matematisnyapadamateri program linier. Melalui LKPD yang didasarkan pada salah satu strategi atau pendekatan yang telah terbukti untuk meningkatkan kemampuan pemahaman konsep yaitu Konstruktivisme, maka akan mendapatkan hasil yang dapat membantu peserta didik mengembangkan kemampuan pemahaman konsepnya.
Relative Embodiment of Japanese Verbs

Studies examining visual word recognition have revealed that sensorimotor information is associated with the meaning of and influences the processing of words. In this study, we collected ratings of relative embodiment, which reflects how much physical movement is involved in a word meaning, for 219 Japanese transitive verbs. We then investigated how the ratings affect visual word recognition, using three different tasks: a word-naming task, a lexical decision task, and a syntactic classification task. We found that reaction times were faster and correct rates were higher (in the lexical decision task) for words with higher relative embodiment ratings than for those with lower ratings. These findings indicate that relative embodiment affects processing of Japanese verbs as well as of English verbs.
Enzymatic conversion of pistachio (pistacia vera L.) shells for fermentable sugar production

ABSTRACT In this study, it was aimed to obtain fermentable sugar after delignification of pistachio shells. Therefore, alkali pretreatment was applied using NaOH and NaOH+H2O2 at changing operating conditions such as temperature, alkali solutions, and apply times. As a result of pretreatments, lignin was removed ranged from 16.27% to 40.64%. The best pretreatment condition was determined as 2% NaOH, solid to liquid ratio 1/10, pretreatment temperature of 60°C, and applying time of 60 min. This operating condition was applied in enzymatic hydrolysis to obtain maximum fermentable sugar. In addition, maximum fermentable sugar production was 6.98 g/L.
PENGARUH SUKU BUNGA BI RATE, EQUIVALENT RATE DAN JUMLAH KANTOR TERHADAP PENGHIMPUNAN DANA PIHAK KETIGA (DPK) PADA BANK UMUM SYARIAH (Studi pada Bank Umum Syariah di Indonesia Periode 2014-2018)

Dengan perkembangannya yang pesat, perbankan syariah di Indonesia menjadi perbincangan hangat bagi para pengamat ekonomi. Dengan populasi pemeluk agama Islam terbesar di dunia bisa menjadi modal utama untuk mengembangkannya. Oleh karena itu, peneliti ingin mengetahui penghimpunan dana pihak ketiga di perbankan syariah dan faktor-faktor yang mempengaruhi. Penelitian ini menggunakan penelitian kuantitatif dengan teknik purposive sampling sebagai teknik pengambilan sampel yang didasarkan pada kritera sebagai sampel. didapatkan sampel sebanyak 9 BUS dengan rentan waktu 5 tahun (2014-2018) dan jenis data yang digunakan adalah data sekunder berupa annual report. Analisis data menggunakan analisis regresi linier berganda dengan alat SPSS. Hasil penelitian menunjukkan bahwa secara simultan ketiga variabel yaitu: BI rate , equivalent rate dan jumlah kantor berpengaruh positif dan signifikan terhadap Penghimpunan Dana Pihak Ketiga (DPK) pada bank umum syariah di Indonesia tahun 2014-2018. Dan secara parsial BI rate berpengaruh positif dan signifikan terhadap DPK pada bank umum syariah, equivalent rate berpengaruh positif dan signifikan terhadap DPK pada bank umum syariah dan jumlah kantor berpengaruh positif dan signifikan terhadap DPK pada bank umum syariah di Indonesia tahun 2014-2018.
Price-Directed Cost Sharing and Demand Allocation Among Service Providers with Multiple Demand Sources and Multiple Facilities

Problem definition: We consider capacity sharing through demand allocation among firms with multiple demand sources and multiple service facilities. Firms decide on the allocation of demand from different sources to different facilities to minimize delay costs and service-fulfillment costs possibly subject to service-level requirements. If firms decide to operate collectively as a coalition, they must also decide on a scheme for sharing the total cost. Academic/practical relevance: We study capacity sharing through demand allocation in service systems in the presence of service-fulfillment costs. Our problem is motivated by service collaboration in healthcare involving public–private partnerships. Methodology: We formulate the problem as a cooperative game and identify a cost allocation that is in the core. Results: The cost-allocation scheme we identify is price-directed, and the cost of each firm consists of three components: (1) the delay cost incurred within the firm; (2) a cost paid for the capacity used by the firm at facilities owned by other firms; and (3) a payment received for fulfilling demand of other firms at facilities owned by the firm. Interestingly, we show that the cost-allocation scheme is equivalent to a market equilibrium—that is, it can be implemented in a decentralized fashion. We extend our analysis to settings where the capacity of each facility is endogenously determined and to settings where a service-priority policy is deployed. Our results are robust to a variety of generalizations: partial sharing, partial transfer, facilities modeled as general queueing systems, and convex delay costs. Managerial implications: Our findings provide guidelines for and insights into how to carry out demand allocation and cost sharing among different firms in the presence of service-fulfillment costs to foster service collaboration. In particular, the equilibrium market prices can be viewed as the prices/subsidies for service collaboration in a public–private partnership.
Routing Protocols for UAV-Aided Wireless Sensor Networks

Recently, unmanned aerial vehicles (UAVs) attracted significant popularity in both military and civilian domains for various applications and services. Moreover, UAV-aided wireless sensor networks (UAWSNs) became one of the interesting hot research topics. This is mainly because UAWSNs can significantly increase the network coverage and energy utilization compared to traditional wireless sensor networks (WSNs). However, the high mobility, dynamic path, and variable altitude of UAVs can cause not only unforeseen changes in the network topology but also connectivity and coverage problems, which can affect the routing performance of the network. Therefore, the design of a routing protocol for UAWSNs is a critical task. In this paper, the routing protocols for UAWSNs are extensively investigated and discussed. Firstly, we classify the existing routing protocols based on different network criteria. They are extensively reviewed and compared with each other in terms of advantages and limitation, routing metrics and policies, characteristics, difference performance factors, and different performance optimization factors. Furthermore, open research issues and challenges are summarized and discussed.