Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effectiveness of Parental Self-Efficacy Program to Improve Children’s Moral Development with Single-Parent Status

At an early age, moral cultivation starts. If the child is in an area where, because of many factors, there is only a father or mother, this can affect the physical and psychological preparation of the child. The role of single parents in the development of children can be an obstacle to promoting child development, especially moral development. The value of training in self-efficacy for single-parents in stimulating moral growth is, therefore, an alternative option for children. This research aimed to examine the effectiveness of the Parental Self-Efficacy Program in improving the morality of children with single-parent status. This study explores one form of effort or experimental research to affect improvement. In order to determine the effectiveness of the parental self-efficacy program to promote the moral and social-emotional growth of children with single-parent status, a pre-test-post-test nonequivalent comparison group quasi-experimental design was chosen. Data were obtained from two community samples of 30 parents (mother) with single-parent families and 30 normal parent family status with children between preschool children aged 4 to 6 years. The findings showed that the parental self-efficacy program had an impact on improving the moral growth of children with single-parent status. It can be seen from the major differences linked to parental self-efficacy and the moral growth of children between the control group and the experimental group, where the experimental group had a higher average.
A Hiding External Memory Access Latency by Prefetch Architecture for DNN Accelerator Available on High-Level Synthesis

— In recent years, there has been a demand for deep neural network (DNN) inference applications in embedded systems. We are developing a framework to design hardware (HW) on an FPGA for DNN inference. Although low-end FPGAs are needed to reduce the cost, FPGAs have limited internal memory (Block RAM, BRAM). Therefore, it is necessary to use SDRAM instead of BRAM, but to speed up the access to SDRAM, a prefetcher is needed that can be used in the system-level design. In this study, we designed a prefetch architecture in a system-level design environment that can be easily implemented in C code for high-level synthesis. We propose a method of storing data in the BRAM by transferring the data in a burst. We designed DNN inference HW with external memory (SDRAM) access us-ing prefetch architecture. As a result, the prefetch design is faster than cases using BRAM or SDRAM. In particular, it is found that the performance is up to a factor of 10 faster than that of SDRAM access without prefetch.
A technical and cultural feasibility assessment of household microbial fuel cells for use in Hanan'g District, Tanzania

Kunik, Erinn, "A technical and cultural feasibility assessment of household microbial fuel cells for use in Hanan'g District, Tanzania", Figure 2.2: A detailed map of Tanzania and the surrounding countries. The study site is indicated with an arrow. (d.light model S2) to use in their homes and to help their children study at Figure 2.13: Tubular MFC configurations with (A) cathode wrapped around the exterior of the anode and (B) cathode in the center of the MFC (adapted from Liu et al. and Scott et al. Figure 3.1: The reactor housing for the MFC consisted of PVC pipe with 1 cm diameter holes and two caps at each end. Dimension A was 36.8 cm (14.5 inches) and dimension B was 19.3 cm (7.6 inches) for the original design and dimension vii A was 24.9 cm (9.8 inches) and dimension B was 7.6 cm (3.0 inches) for the Figure 4.2: Plot of light sources used for nighttime use by those without electricity (black) and for use during blackouts by those with electricity (striped). 52 Figure 4.3: Interview participants' perceptions of current electricity use for those with electricity (striped) and plans for electricity use for those without electricity Figure 4.6: Voltage of the MFC during startup. Points a, b, and c show peak voltages for three batches. Point d shows the effects of rusting on the circuit elements. viii Figure 4.9: MFC voltage during operation with a batch of feed acetate solution (acetate feed cycle 3) immediately after replacing the leaking cathode.
Synthesis, Spectroscopic, Characterization and X-ray Structures of Lanthanide(III) Complexes Derived from 1,5-bis(phenyl(pyridin-2-yl)methylene)carbonohydrazide

The use of 1,5-bis (phenyl (pyridin-2-yl) methylene) carbonohydrazide (H2L) in the coordination chemistry of lanthanides (III) yielded complexes in which two ligand molecules are present. The synthesis was carried out using a Ln/H2L ratio of 1/2 to lead mononuclear complexes of [Ln(H2L)2(η -NO3)3-x](NO3)x (Ln=La (1), Sm (4), Gd (6) and Yb (7)), [Ln(H2L)2(NO3)3] (Ln=Pr(2), Eu(5) and a co-crystal {[Nd(H2L)2(η -NO3)2(η -NO3)], [Nd(H2L)2(η -NO3)(h NO3)(H2O)]}. (NO3). 2CH3OH} (3). The structures of the complexes (2) and (3)were solved by X-ray crystallography on a single crystal. In the mononuclear complex of Pr, two neutral ligand molecules act in tridentate fashion. In the co-crystal complex, one of the Nd atom is coordinated by two ligand molecules acting tridentately in neutral form and three nitrate anions acting in bidentate fashion while the second Nd atom is coordinated by two ligand molecules acting tridentately in neutral form, one monodentate nitrate anion, one bidentate nitrate anion and one water molecule. The neutrality of the complex is ensured by one free nitrate anion. Two free methanol molecules are present. Complex (2) crystallizes in the triclinic space group P-1 with the following parameters: a=10.128 (2) Å, b=12.2285 (19) Å, c=20.816 (5) Å, α=85.634 (4), β=81.870 (4)°, γ=87.210 (5)°, V=2542.9 (9) Å, Z=2, R1=0.0640, wR2=0.1377. Complex (3) crystallizes in the monoclinic space group P21/c with the following parameters: a=10.4554 (12) Å, b=44.089 (6) Å, c=23.212 (3) Å, β=90.851 (2)°, V=10699 (2) Å, Z=4, R1=0.0630, wR2=0.1690. The coordination sphere of the twelve-coordinated Pr III atom is best described as distorted icosahedron. In the co-crystal one of the Nd atom is eleven-coordinated while the second Nd atom is ten-coordinated. The environments around the Nd atoms are respectively best described as distorted pentacapped trigonal prism and a distorted bicapped square antiprism, respectively. Supramolecular structures are consolidated by numerous hydrogen bonds.
COMPARATIVE ANALYSIS OF PERFORMANCE OF DEEP CNN BASED FRAMEWORK FOR BRAIN MRI CLASSIFICATION USING TRANSFER LEARNING

The brain tumor is among the most hazardous and destructive diseases. The mortality rate in brain cancer is more at a later stage. Also, the brain tumor's misdiagnosis will produce danger and reduce the patient's chances of survival. The early diagnosis of a brain tumor aids in saving the life of the affected person by providing the right treatment. The computer-aided medical imaging techniques like Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) aids in diagnosing the disease. Hence brain MRI classification became an active research area in recent years. Numerous methods have been presented in the earlier period for MRI categorization, right from classical methods to advance Deep Learning (DL) algorithms such as Convolutional Neural Network (CNN). The conventional Machine Learning (ML) techniques required handcrafted features while CNN performs classification by drawing features from unprocessed images directly via the convolution and pooling layer's parameter tuning. The feature extraction using the CNN algorithm is mostly influenced by the size of the training process's images. CNN models overfit after some epoch if the training dataset size is small. Therefore, transfer learning techniques have evolved. In the proposed system, conduct five studies using five transfer learning architectures such as AlexNet, Vgg16, ResNet18, ResNet50, and GoogLeNet to classify the clinical dataset of brain MRI into benign and malignant. Data augmentation techniques are applied over the brain MRI to generalize the results and reduce overfitting possibilities. In this proposed system, fine-tuned AlexNet architecture achieved the highest precision, recall, and f-measure value of 0.937, 1, and 0.96774, respectively
Parallel Data Processing with MapReduce in Python

A prominent parallel data processing tool MapReduce is gaining significant momentum from both industry and academia as the volume of data to analyze grows in leaps and bounds. The MapReduce framework has emerged as one of the most widely used parallel computing platforms for processing data on large data scales like terabytes and petabytes. This study intends to assist the database and open source communities in understanding technical aspects of MapReduce framework. We propose a model of efficient computation using the MapReduce paradigm. Although Python is not a functional programming language, it has built-in support for both of these concepts of Map and Reduce. The paper will characterize the MapReduce and discuss its inherent pros and cons. It also discusses the open issues and challenges raised on parallel data analysis with Map Reduce.
The effect of chlorpyrifos insecticide on the histological structure of wader pari fish intestine (Rasbora lateristriata Bleeker, 1854)

Corresponding Author: Bambang Retnoaji Animal structure and Development Laboratory, Faculty of Biology, Universitas Gadjah Mada; Tel. +6281325722515 Email: bambang.retnoaji@ugm.ac. id Abstract. Chlorpyrifos is one of the commonly used insecticides. However, the use of insecticides in agriculture has negative impacts including lethal effects on non-target organisms. Wader pari fish is a type of freshwater fish that lives in rice fields or rivers and can be used as an indicator of water pollution. The purpose of this study was to determine the intestinal histological structure, the histopathological effect of chlorpyrifos on the intestine, and the population number of goblet cells, respectively. The treatment concentration of 0.001; 0.005; and 0.01 ppm were determined by preliminary trial and exposed for 168 hours. Fish behavior and water quality were monitored. The fish were still alive until the last day of exposure were then made intestinal histological preparations using the paraffin method and staining with Haematoxylin Eosin (HE), Mallory Acid Fuchsin (MAF), Periodic Acid Schiff (PAS). The results showed that the histological structure of the wader pari intestine consisted of mucosal tunica, submucosal tunica, muscularis tunica, and serous tunica. Furthermore, chlorpyrifos has a significant effect on the population number of goblet cells. The intestine damages were edema, vacuolization, cloudy swelling, hemorrhage, lysis, and fusion of vili. It could be concluded that chlorpyrifos caused intestinal damage in wader pari fish.
New Insights of Potassium Source Impacts as Foliar Application on the Yield and Fruit Quality of Barhee Date Palms

This experiment was carried out during two successive seasons of 2018 and 2019 in a private orchard located at Regwa district, Cairo, Alexandria Road, Beheira Governorate, Egypt, in order to assess the effect of different potassium forms and concentrations on yield, and fruit quality of Barhee date palm grown in sandy soil under drip irrigation system. So, foliar spray of potassium forms such as mono potassium phosphate (KH2PO4) and dipotassium phosphate (K2HPO4) at different concentrations i.e. 1% and 2 % were applied three times a year (one day before pollination, at the beginning of Kimri stage and at the beginning of fruit color break) on yield and fruit physiochemical characteristics. The results showed that all different potassium forms at different concentrations increased fruit yield and improved fruit physical and chemical characteristics as compared with the control during both seasons of the study. Finally, it could be concluded that foliar spray with both di-potassium phosphate and monopotassium phosphate each at 2 % were the best treatments for improving the most studied parameters of Barhee date palm during the two seasons of the study.
Antitumor Activity T Cell Responses with + Cells to Elicit CD8 Antigen Presentation by Diverse Immune Microfluidic Squeezing Enables MHC Class I

˜ CD8 + T cell responses are the foundation of the recent clinical success of immunotherapy in oncologic indications. Although checkpoint inhibitors have enhanced the activity of existing CD8 + T cell responses, therapeutic approaches to generate Ag-specific CD8 + T cell responses have had limited success. Here, we demonstrate that cytosolic delivery of Ag through microfluidic squeezing enables MHC class I presentation to CD8 + T cells by diverse cell types. In murine dendritic cells (DCs), squeezed DCs were ~ 1000-fold more potent at eliciting CD8 + T cell responses than DCs cross-presenting the same amount of protein Ag. The approach also enabled engineering of less conventional APCs, such as T cells, for effective priming of CD8 + T cells in vitro and in vivo. Mixtures of immune cells, such as murine splenocytes, also elicited CD8 + T cell responses in vivo when squeezed with Ag. We demonstrate that squeezing enables effective MHC class I presentation by human DCs, T cells, B cells, and PBMCs and that, in clinical scale formats, the system can squeeze up to 2 billion cells per minute. Using the human papillomavirus 16 (HPV16) murine model, TC-1, we demonstrate that squeezed B cells, T cells, and unfractionated splenocytes elicit antitumor immunity and correlate with an influx of HPV-specific CD8 + T cells such that > 80% of CD8s in the tumor were HPV specific. Together, these findings demonstrate the potential of cytosolic Ag delivery to drive robust CD8 + T cell responses and illustrate the potential for an autologous cell-based vaccine with minimal turnaround time for patients. The Journal of Immunology , 2022, 208: 929 (cid:1) 940.
Adaptive Control and Parameter-Dependent Anti-windup Compensation for Inertia Varying Quadcopters*

A novel parameter-dependent anti-windup compensator is developed to improve the performance of a constrained model reference adaptive controller. The combined control structure solves the input saturation and stability problem for inertia varying quadcopters. The control synthesis follows the conventional two-step anti-windup design paradigm where a nominal controller is designed without consideration of the input saturation, and the anti-windup compensator is designed to minimize deviations from nominal performance caused by saturated inputs. To account for varying inertia of the quadcopter during package retrieval/delivery routines, the inertia parameters of the vehicle/package are estimated with an online recursive identification technique. These estimates are used by the model reference adaptive controller to ensure stability of the nominal (unsaturated) system and to schedule the parameter-dependent anti-windup compensator. The performance and stability conditions of the parameter-dependent anti-windup compensator are formulated as a set of parameter-dependent linear matrix inequalities. When solved, the linear matrix inequalities yield a gain-scheduled anti-windup compensator that ensures stability and minimizes the deviation from nominal model reference adaptive control performance when saturation occurs. The effectiveness of the combined control scheme is demonstrated by simulations of an input constrained quadcopter lifting a payload of unknown mass.
A GIS-Based Study of Air and Water Quality Trends in Madurai City, India

The objective of this study is to assess the air quality and water quality at Madurai city using the spatial interpolation technique of the Geographic Information System (GIS). Inverse Distance Weighting (IDW), Kriging, Gaussian- Kriging methods of interpolation are used in the study. The study area is divided into 8 zones and primary data is collected through direct sampling for water. The air pollution concentration data on Suspended Particulate Matter (SPM), Respirable Particulate Matter (RPM), and Lead are collected from an air quality monitoring network system of Tamilnadu Pollution Control Board (TNPCB). The results indicate that the Kriging interpolation method performs well with an error value of 0.02. The data collected from the years 2006 and 2020 are compared using GIS and observed data. The comparison of results indicates that there is a good accord with the predicted value using Inverse Distance Weighting (IDW) and Kriging interpolation with the observed data. The analysis report indicates that the pollution level at all 8 blocks was severely affected in 2020 and it is above the prescribed standard of TNPCB. Particularly, Kalavasal, Arapalyam, and Periyar blocks are severely affected. This work also presents suitable mitigation measures to reduce pollution.
Exploring the Role of Elementary Teachers’ TPACK in the Adoption of 1:1 Computing Across Subject areas

This study examines the role that technological pedagogical content knowledge (TPACK) plays in elementary teachers' adoption of 1:1 computing for instruction across the subject areas of mathematics, science, English language arts, and social studies. In particular, the research explored whether teachers' self-reported TPACK moderated the relationship between teachers' perceived ease of use (PEOU) and perceived usefulness (PU) of 1:1 computing for instruction in each of the subject areas. The results indicated that TPACK was a significant moderator of the relationships between PEOU of 1:1 and whole-class science instruction, individualized science instruction, and individualized mathematics instruction. TPACK was also a significant moderator of the relationship between PU of 1:1 and the use of 1:1 for whole-class science instruction and individualized mathematics. TPACK was not a significant moderator of any of the relationships between PEOU or PU and instruction involving 1:1 in the subjects of English language arts or social studies. These findings suggest that TPACK can strengthen elementary teachers' adoption of 1: 1 for instruction in mathematics and science but did not support this notion in English language arts or social studies
EMS: History-Driven Mutation for Coverage-based Fuzzing

—Mutation-based fuzzing is one of the most popular approaches to discover vulnerabilities in a program. To alleviate the inefﬁciency of mutation-based fuzzing incurred by high randomness in the mutation process, multiple solutions are developed in recent years, especially coverage-based fuzzing. They mainly employ adaptive mutation strategies or integrate constraint-solving techniques to make a good exploration of the test cases which trigger unique paths and crashes. However, they lack a ﬁne-grained reusing of fuzzing history to construct these interesting test cases, i.e., they largely fail to properly utilize fuzzing history across different fuzzing trials. In fact, we discover that test cases in fuzzing history contain rich knowledge of the key mutation strategies that lead to the discovery of unique paths and crashes. Speciﬁcally, partial path constraint solutions implicitly carried in these mutation strategies can be reused to accelerate the discovery of new paths and crashes that share similar partial path constraints. Therefore, we ﬁrst propose a lightweight and efﬁcient Proba- bilistic Byte Orientation Model ( PBOM ) that properly captures the byte-level mutation strategies from intra- and inter-trial history and thus can effectively trigger unique paths and crashes. We then present a novel history-driven mutation framework named EMS that employs PBOM as one of the mutation operators to probabilistically provide desired mutation byte values according to the input ones. We evaluate EMS against state-of-the-art fuzzers including AFL, QSYM, MO PT , MO PT -dict, EcoFuzz, and AFL++ on 9 real world programs. The results show that EMS discovers up to 4.91 × more unique vulnerabilities than the baseline, and ﬁnds more line coverage than other fuzzers on most programs. We report all of the discovered new vulnerabilities to vendors and will open source the prototype of EMS on GitHub.
Foreign Exchange Rate Prediction Using Long-Short Term Memory: A Case Study in COVID-19 Pandemic

The foreign exchange market is a global financial market that is influenced by economic, political, and psychological factors that are interconnected in complex ways. This complexity makes the foreign exchange market a difficult time-series prediction. At the end of 2019, the world was faced with the COVID-19 pandemic that has not only affected public health but also the foreign exchange market, which makes the trading behaviour affected. Long Short-Term Memory network (LSTM) is a type of recurrent neural network (RNN) that can solve long-term dependencies and is suitable to be a financial time-series model. This study implemented the LSTM model to predict the foreign exchange rate at a timeframe of 1 hour and daily in 2020 to get the best hyperparameter based on the RMSE evaluation results. Furthermore, with the obtained hyperparameters, the prediction result of 2020 was then compared with the 2018 and 2019 prediction results. The best RMSE result was obtained in 1-hour timeframe and when 2020’s RMSE result was compared to 2018’s and 2019’s RMSE result, the prediction of 2019 gave the best RMSE result. The LSTM model is able to achieve good results in the 2020 prediction, proven by the RMSE result which is 0.00135.
Multilinguals in a Monolingual Community: The Influence of Non-linguistic Switching Cost and Awareness of Language Environment on Intentional and Unintentional Language Switch

Multilinguals who live in their native multilingual communities are constantly switching between languages, whereas those who live in monolingual communities need to constrain their code-switching. Malaysia is a multilingual country in which people mix languages on a daily basis, whereas, in Taiwan, Mandarin is predominately used and people are more cautious about code-switching. Therefore, in the current study, we investigated what factors might facilitate Malaysian-Chinese students to reduce the unintentional switching between languages to adapt to the language environment in Taiwan. Malaysian-Chinese who live in Malaysia (MIM) and Taiwan (MIT) were recruited to investigate whether and how non-linguistic code-switching and their awareness of language environment (ALE) influence their intentional and unintentional code-switching experiences. Participants’ non-verbal code-switching was measured by a color/shape switching task, whereas ALE and code-switching experiences were measured by questionnaires. The multiple regression analyses of MIT’s responses showed that the moderation of non-linguistic switch cost and ALE significantly predicted MIT’s unintentional code-switching. Moreover, the simple slope analysis showed that MIT with high executive control have a dynamic unintentional switch in which the higher level of ALE is associated with lower unintentional switch. However, MIT with low executive control have a static unintentional switch, uninfluenced by their level of ALE. These results suggested that multilinguals’ execuFLUXO DA SUBMISSÃO Submissão do trabalho: 28/11/2021 Aprovação do trabalho: 15/02/2022 Publicação do trabalho: 11/03/2022 ARTIGO COMO CITAR YEH, Li-Hao; LIM, Jie Yee. Multilinguals in a Monolingual Community: The Influence of Non-linguistic Switching Cost and Awareness of Language Environment on Intentional and Unintentional Language Switch. Revista Linguagem em Foco, v.13, n.4, 2021. p. 78-95. Disponível em: https://revistas.uece. br/index.php/linguagememfoco/article/ view/7354. 10.46230/2674-8266-13-7354 Li-Hao Yeh, Jie Yee Lim 79 Revista Linguagem em Foco Fortaleza, CE v. 13 n. 4 ISSN 2674-8266 tive control along with their awareness of the language environment help them adapt to living in a community with a predominant language.