Miracle-dz/UniFAR-FTUs huggingface dataset:
Universitas Negeri Semarang’s readiness in carrying out vocational education

This study aims to analyse (1) the support system in carrying out vocational education, (2) the readiness of faculties and departments to administer vocational education and (3) the suitable implementation model of vocational education for UNNES. The research data were collected through interviews, observations and focus group discussions. The data analysis was obtained in a qualitative interactive manner using data reduction methods, data presentation and drawing conclusions, as well as verification. The results showed that the implementation of vocational education has an internal support system, namely the leadership commitment of UNNES, faculties and departments, the availability of learning facilities and infrastructure, the availability of curriculum, the availability of lecturers and educational staffs and the availability of budget. The external support systems are the link and match policy, for example, opening 100 polytechnics and accepting civil servants from the diploma programme, Universitas Negeri Semarang faculties and departments are quite ready to administer vocational education. Keywords: Education, diploma, UNNES, vocational
Intrusion Detection for in-vehicle CAN Networks Based on Auxiliary Classifier GANs

With the rapid evolution of artificial intelligence, in-vehicle network and automotive electronic systems are shifting toward intelligence. The existing in-vehicle network protocol CAN could not provide message encryption and authentication mechanism at the beginning of its design so that it is difficult to face increasingly frequent attacks. Existing research efforts on intrusion detection work mostly do not have the ability of novelty detection, and can only detect the known attack. Therefore, this paper proposes an end-to-end intrusion detection method ACGIDS based on auxiliary classifier GANs. It uses the generator to generate negative samples far away from the positive sample distribution in the training process, covering some unknown attack patterns. At the same time, the adversarial training enables the discriminator to learn a clearer decision boundary and avoids the degradation of the discriminator’s discrimination ability through additional double classifiers. We also design a reliable detection process and compare it with other previous methods from the three dimensions, including detection accuracy, storage overhead, and detection speed. The experimental results show that the proposed method is suitable for real-time detection scenarios, maintains competitive comprehensive performance, and has the ability of novelty detection.
Object Based Modelling for the Irrigation Suitability using Hydrogeochemical Parameters and Land use Dynamics in the Lower Ganga

The north Indian Ganga basin is one of the densely populated basins of the world. Most agricultural and industrial contaminants drained throughout the river length are likely to be accumulated in the lower part of the Ganga basin. We used ten derived irrigation suitability parameters, which are obtained from 495 sampling points locations, besides using long term climate data (GLDAS_NOAH025_M) using “Technique for Order of Preference by Similarity to Ideal Solution” (TOPSIS) model to get the irrigation suitability map. Multi-Criteria Decision Making (MCDM) using TOPSIS helps make the best choices from the available finite number of alternatives based on their ranking. The obtained entropy weight for irrigation suitability parameters such as Electrical Conductivity (Ec), Sodium Adsorption Ratio (SAR), Magnesium Hardness (MH), Sodium Percent (Na%), Total Hardness (TH), Kelly’s ratio (KR), Permeability Index (PI), Chloride concentration (Cl−), Groundwater Level Fluctuation (GWLF), and lang factor (Df) are found to be 0.08, 0.14, 0.02, 0.02, 0.04, 0.08, 0.01, 0.32, 0.29 and 0.01 respectively. We find that SAR, Cl−, and GWLF controls the water quality for irrigation in the Lower Ganga basin since these parameters have relatively higher entropy weights (more than 0.10). The results obtained from the computed performance index or the closeness coefficient show that the area percent having very good, good, and very poor groundwater quality in the Lower Ganga basin is 34.67%,42.36%, and 22.97%, respectively. The LULC change pattern indicates that the percentage change of water and agricultural land was -11.96 and -0.86%, whereas an increase in the settlement area of 131.42% for the period between 2000 and 2015.
Creating entrepreneurs: National curriculum change in South Korea

Abstract This article explores national curriculum change initiated by the South Korean state by examining the 2015 curriculum reform. Relying on interviews with policy actors who participated in the curriculum-making process, I aimed to understand how certain reform ideas within an institutionalized, state-led curriculum change made—or failed to make—their way into official documents. Three main themes emerged from interviews: (a) entrepreneurial vision supported by elite bureaucrats and politicians, (b) education professors importing performance standards from the United States, and (c) parent-citizens empowered by education consumerism opposing elitism. Based on the data analysis, I argue cyclical South Korean national curriculum revisions, dominated by Korean elites, function as a social apparatus to disseminate and underpin neoliberal ideology. I also argue parent-citizens’ political activism—empowered by three decades of education consumerism policies—succeeded in challenging Korean elitism and demonstrated anti-neoliberalism potential. As a theoretical framework, I chose critical works addressing neoliberal education reform discourses. I conclude by discussing the future of national curriculum making in the continued process of neoliberalisation.
HOTS-Based English Learning Worksheet for Elementary School Students

The revised 2013 curriculum in Indonesia emphasizes HOTS-based learning. Therefore, the teacher’s skill, techniques, methods, media, and books must support the student’s critical thinking. In the learning process, the teacher usually uses the student’s worksheet. However, some educational practitioners are not convinced that the activities contain of student’s worksheet appropriate with the HOTS criteria. Based on the researcher’s observation, there are many questions with LOTS types especially in multiple-choice questions for students. This study was aimed at developing students’ higher order thinking skills in English learning process through the use of students’ worksheets for fourth-grade students at the elementary school level. The ADDE models were employed in this investigation. As the subject of this study, the teacher and fourth-grade elementary school students in Buleleng Regency were participating. The HOTS students’ worksheets based on English learning were arranged by considering the adapted blue print from 4 th grade English syllabus. The data were collected through several techniques, such as; observation, interview, document analysis, expert judgment, and questionnaire. The result of this study showed that this book gave positive response by stating that the book was categorizes as excellent in which it presented the material based on the syllabus and it had an interesting design. The HOTS’ worksheet book that was developed in this study was expected as a medium for learning English that facilitated elementary school teachers and students.
Dynamic Analysis of Underwater Vehicle manipulator system

With the development of ocean exploration,underwater vehicle manipulator system plays more and more important roles on underwater detection,underwater mining,ocean petroleum engineering and so on.In this paper,a new method is drawn by applying exponential product formula and Kane equations.By this method,kinematic analysis can be implemented in a global frame,and dynamic equations with minimum number can be obtain while heavy differential operations can be avoided.The model considers the water drag force,interaction between vehicle and manipulator,thruster force and so on.In this model drag hydraulic force,interaction between vehicle and manipulator and so on are considered.Our work expresses that Kane-exponential method is a efficient modeling method for underwater vehicle-manipulator system.
Visible to Mid-Infrared Photodetection Based on Flexible 3D Graphene/Organic Hybrid Photodetector with Ultrahigh Responsivity at Ambient Conditions

Near-infrared (NIR) and mid-infrared (MIR) photodetectors have wide applications in biometrics, military, industry, etc. NIR and MIR organic photodetectors (OPD) require narrow-bandgap semiconductors to achieve efficient light absorption. However, it is still a challenge to synthesize organic materials with efficient absorption region above 1000 nm. Herein, a flexible hybrid OPD has been designed and fabricated by integrating organic materials with three-dimensional graphene (3DG) film, and the photodetector can detect light from visible to MIR at room temperature with an outstanding responsivity of 108 A W−1 in the NIR region (1000 nm). Moreover, the hybrid device can detect picowatt-level light with ultrahigh responsivity of 5.8 × 10 A W−1 and specific detectivity of 3 × 10 Jones in the visible region. Furthermore, the 3DG film/organic hybrid detector is well compatible with flexible substrates and opens up a novel approach to developing flexible photodetectors with high responsivity in a wide spectrum range, suggesting possible potential applications in flexible electronics.
Marine Depsipeptide Nobilamide I Inhibits Cancer Cell Motility and Tumorigenicity via Suppressing Epithelial–Mesenchymal Transition and MMP2/9 Expression

A cyclic depsipeptide, nobilamide I (1), along with the known peptide A-3302-B/TL-119 (2), was isolated from the saline cultivation of the marine-derived bacterium Saccharomonospora sp. , strain CNQ-490. The planar structure of 1 was elucidated by interpretation of 1D and 2D NMR and MS spectroscopic data. The absolute configurations of the amino acids in 1 were assigned by using the C3 Marfey’s analysis and comparing them with those of 2 based on their biosynthetic pathways. Nobilamide I (1) decreased cell motility by inhibiting epithelial–mesenchymal transition markers in A549 (lung cancer), AGS (gastric cancer), and Caco2 (colorectal cancer) cell lines. In addition, 1 modulated the expression of the matrix metalloproteinase (MMP) family (MMP2 and MMP9) in the three cell lines.
Efficacy of arterial spin labeling for detection of the ruptured micro-arteriovenous malformation: illustrative cases

BACKGROUND Diagnosis of a microarteriovenous malformation (micro-AVM) is difficult, especially in the acute stage of rupture because of the small size of the nidus and the existence of hematoma. We report two cases of ruptured micro-AVMs detected by arterial spin labeling (ASL). OBSERVATIONS In one case, a 45-year-old male was transported with a complaint of right hemiparesis. Computed tomography (CT) revealed a right parietal lobar hemorrhage. Standard magnetic resonance imaging (MRI) showed no abnormal findings as the cause of the hemorrhage. ASL 23 days after the onset demonstrated high signals on the medial wall of the hematoma. Digital subtraction angiography (DSA) showed a micro-AVM in accordance with the site of high signals on ASL. In another case, a 38-year-old female was transported with a complaint of left hemianopsia. CT on admission revealed a right parietal lobar hemorrhage. Standard MRI showed no abnormal findings as the cause of the hemorrhage. ASL 15 days after the onset demonstrated high signals on the internal wall of the hematoma. DSA showed micro-AVM in accordance with the site of high signaling on ASL. Both cases were successfully treated with open surgery. LESSONS ASL can manifest micro-AVMs as high signals within the hematoma. ASL is a useful less-invasive screening tool for the detection of ruptured micro-AVMs.
Quantum fluctuations on matriceal graphenic heterojunctions e-circuits

Abstract The work is proposing an original replacement perspective of the mechanisms (and on the horizon - of technology of) semiconductors based on doping with chemical impurities (viz. Si-based semiconductors) with the Carbon Green environment, within molecular electronics; this way, graphenic deposition was chosen as the conductive medium, respectively with high reactivity and photosensitivity; the working plates are systematically chosen with predefined pattern of "graphene voids vis-à-vis of non-graphene oxides" so the alternating graphene oxides’ “islands” are created; these plates are in turn subjected to quantum fluctuation analyses (current vs. voltage vs. contact resistance) – from where the degree of waiving/tunneling of matrix heterojunction plates by inter-electronic quantum (generalized Heisenberg uncertainty) microcircuits are for the first time estimated; it is a result from the tunneling of the induced current in the plate, in the presence of a voltage applied to the plates’ ends, and locally measured in certain IN-OUT directions associated with the deposition/impurity model of graphene periodicity with metal oxides. The microcurrents created are quantum intertwining realization of a generalized Heisenberg uncertainty of the collective inter-electronic (bondonic) waiving as locally specific to each plate under study. Further composed microcircuits and quantum gates are thus allowed to combine within a foreseen graphentronics nanotech protocols.
COVID-19 in heart transplant patients: is there a cause for concern?

In a recent meta-analysis, Ahmed et al. 1 reported that the risk of Coronavirus Disease 2019 (COVID-19) infection was significantly higher in the heart transplant (HT) population compared with the general population (OR 5.47; 95% CI 3.03–9.89, I 2 = 90.6%, P < 0.001). The pooled mortality rate in HT recipients due to COVID-19 was 27.6% (95% CI 23.2–32.2%) and the pooled hospital-ization rate was 82.9% (95% CI 77.1–87.9%). COVID-19 also significantly increased the mortality rate in HT population as compared to the general population (OR 3.37; 95% CI 2.25–5.05, I 2 = 64.5%, P < 0.001). We regarding this meta-analysis. al. they their study the Systematic of their the of in a
Stabilization of a hyperbolic PDEs-ODE network using a recursive dynamics interconnection framework

In this paper, we design a state-feedback law that exponentially stabilizes an underactuated network of scalar hyperbolic systems coupled at the end of the chain with a finite-dimensional system modeled by an ordinary differential equation. Our approach uses a recursive dynamics interconnection framework. More precisely, for each subsystem, we solve a stabilization problem, a tracking problem and design a state-predictor. Then, we are able to recursively design a control law that stabilizes the whole chain. Some illustrative examples complete the presentation.
A unified thermionic and thermionic-field emission (TE–TFE) model for ideal Schottky reverse-bias leakage current

We present a unified thermionic emission (TE) and thermionic-field emission (TFE) model for the ideal reverse-bias leakage current in Schottky junctions. The unified TE – TFE analytical model advances upon previous analytical TFE models by Murphy – Good and Padovani – Stratton, which are the two most widely adopted models by the community, in two major aspects: (i) the applicability of the TFE expression therein is extended to near-zero surface electric fields by an error-function correction, allowing for the calculation of the total current by a nontrivial sum of TE (over-the-barrier current) and TFE (below-the-barrier current) contributions; therefore, an accurate description of the TE-to-TFE transition region is captured analytically for the first time; (ii) image-force lowering is considered with much-simpler correction terms. Comparisons with the reference numerical model show that the unified TE – TFE model has excellent accuracy, as well as a 10 000 × reduction in computation time. The unified model is further tested against experimental data from Schottky barrier diodes based on Si, 4H-SiC, GaN, and β -Ga 2 O 3 , revealing accurate extractions of barrier heights and correct descriptions of the ideal reverse leakage characteristics. With the extended applicable
Controller identification for data-driven model-reference distributed control

This paper considers data-driven distributed controller synthesis for interconnected linear systems subject to unmeasured disturbances. The considered problem is the op-timization of a model-reference control criterion, where the reference model is described by a decoupled system. We provide a method to determine the optimal distributed controller by performing network identification in an augmented network. Sufficient conditions are provided for which the data-driven method solves the distributed model-reference control problem, whereas state-of-the-art methods for data-driven distributed control can only provide performance guarantees in the absence of disturbances. The effectiveness of the method is demonstrated via a simple network example consisting of two interconnected systems.
A Multi-Genre Urdu Broadcast Speech Recognition System

This paper reports the development of a multi-genre Urdu Broadcast (BC) corpus and a Large Vocabulary Continuous Speech Recognition (LVCSR) system. BC speech corpus of 98 hours from 453 speakers is collected and annotated. For acoustic modeling, Time-delay Neural Network (TDNN) is developed with prior Gaussian Mixture Model-Hidden Markov Model (GMM-HMM) training and alignments. For the language model, 3-gram, 4-gram and Recurrent Neural Network (RNN) based models are developed on a text corpus of 188 million words. The developed models are tested on 4.3 hours of unseen BC multi-genre speech dataset and the best Word Error Rate (WER) 18.59% is achieved using RNN based Language Model (LM). Moreover, a detailed word error analysis is carried out to compare the errors made by humans and the Automatic Speech Recognition (ASR) System. The results showed a similar behavior of word misrecognitions by both humans and ASR.
Pea starch increases the dry matter flow at the distal ileum and reduces the amino acids digestibility in ileal digesta collected after 4 hours postprandial of pigs fed low-protein diets

Objective The study was aimed to investigate the rules of postprandial changes in intestine digesta dry matter (DM) flow and amino acid digestibility of growing pigs fed low-protein (LP) diets made of different starch. Methods Eight barrows (28.8±2.1 kg) with a T-cannula at the distal ileum were randomly allotted to an 8×3 Youden square design. Treatments included: waxy corn starch LP (WLP); corn starch LP (CLP) and pea starch LP (PLP). Diets were given at 08:00 and 20:00. Digesta samples were collected in six 2-h stages from 08:00 to 20:00. Results The Cr concentrations of ileal digesta increased and then decreased in WLP and CLP, while increased continuously in PLP as time passed after postprandial (p<0.05). Higher average Cr concentrations (0.78% and 0.84% vs 0.70%; p<0.05) and lower average DM flow (181.1 g/kg and 166.3 g/kg vs 240.3 g/kg; p<0.001) were observed in WLP and CLP, compared with PLP. The apparent ileal digestibility coefficient of most amino acids in WLP and CLP increased compared with that in PLP. No difference in lysine or methionine digestibility was observed. When digesta were collected in 2-h periods, the apparent ileal digestibility coefficient of amino acids did not change over time. When digesta was collected in 4-h periods from 16:00 to 20:00 and 6-h periods from 14:00 to 20:00 (p<0.05), WLP and CLP showed markedly higher amino acid digestibility than PLP Conclusion High-amylose slowly digested starch can increase the DM flow at the distal ileum and reduce the apparent ileal digestibility coefficient of amino acids of pigs fed LP diets. Compared with waxy corn starch and corn starch, pea starch reduced the digestibility of amino acids in digesta collected after 4 h postprandial.
Tetrabutylammonium-salt, a novel ionic medium for the synthesis of quinoline–hybrid chalcones, and its biological evaluation

Abstract A series of quinoline-chalcones were synthesized from one-pot Friedlander annulation followed by Claisen–Schmidt condensation in the presence of tetrabutylammonium-ionic liquids (TBA-ILs) as a catalyst and base medium under MW-Irradiation. TBA-ILs is an emerging reaction medium instead of conventional organic solvents (VOCs). It is an efficient approach toward the C–C bond formation. The synthesized chalcones were evaluated further in vitro antimicrobial, antioxidant properties, in silico molecular docking analysis, and in vitro anticancer inhibition was achieved against MCF-7 breast cancer cell lines. Structure–activity relationships (SAR) studies were employed to improve in vitro/in vivo pharmacological activities to restrict the peripheral circulation's absorption, distribution, and metabolism. Graphical Abstract
Power Loop Inductance Extraction with High Order Polynomial Fitting Algorithm for SiC MOSFET Power Module Characterization

An accurate method for extracting the power loop parasitic inductance with high order polynomial fitting algorithm is proposed for SiC MOSFET power module characterization. Extracting power loop inductance of SiC MOSFET power module characterization is more difficult compared with IGBT power module due to higher switching speed. The relationship between the maximum di/dt and the voltage spike at turn-off transient is revealed. Compared with the four existing methods, high-order fitting method provides accuracy and repeatability. The calculated results are consistent with the Ansys Q3D simulation results. The fitted lines with the calculated stray inductance and di/dt match with the drain-to-source voltage of SiC MOSFET power module at both turn-on and turn-off transient. High-order fitting polynomial method is effective to extract the power loop inductance of SiC MOSFET power module characterization.
Media Flashcard Berbasis Multimedia Interaktif untuk Pengenalan Kosakata Bahasa Inggris pada Anak Usia Dini

Rendahnya pemahaman kosakata bahasa Inggris pada anak usia dini. Selain itu guru membutuhkan multimedia interaktif yang menarik dan dapat digunakan pada pembelajaran daring untuk dapat meningkatkan pemahaman anak dalam mengenal kosakata bahasa Inggris. Penelitian ini bertujan untuk menciptakan rancang bangun dan mengetahui validitas media flash card berbasis multimedia interaktif untuk pengenalan kosakata bahasa Inggris pada anak usia dini. Jenis penelitian ini adalah penelitian pengembangan (research and development). Desian pada penelitian ini dikembangkan menggunakan model pengembangan ADDIE. Subjek penelitian ini berjumlah 5 diantaranya 1 orang ahli isi pembelajaran, 1 orang ahli desain pembelajaran dan ahli media pembelajaran dan 3 orang anak usia dini pada uji perorangan. Metode pengumpulan data adalah metode kuesioner. Data dianalisis menggunakan teknik analisis deskriptif kuantitatif. Hasil uji validitas yang dilakukan oleh ahli isi pembelajaran, ahli desain pembelajaran, dan ahli media pembelajaran memperoleh skor 88,76% dengan kualifikasi sangat baik, serta uji coba perorangan memperoleh skor 91,3% dengan kualifikasi sangat baik. Berdasarkan hasil tersebut dapat disimpulkan bahwa media flash card berbasis multimedia interaktif untuk pengenalan kosakata bahasa Inggris ini layak digunakan pada anak usia dini. Implikasi dalam penelitian yaitu media flash card berbasis multimedia interaktif ini dapat membantu guru dalam membuat pembelajaran lebih inovatif yang dapat membantu anak dalam mengenal kosakata bahasa Inggris pada pembelajaran daring.