Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Character Education Values in Early Childhood Through Online Fables

The purpose of this study is to describe the types of characters contained in online fables with children's literary approaches and character education. Research methods, namely descriptive qualitative with content analysis techniques. Data analysis was performed using content analysis and descriptive techniques. Data collection is based on literature. The data source, which is 5 fables with the character education theme, is downloaded online via the web https://dongengceritarakyat.com/. The types of characters found are described in detail according to the quotations found in the fable. Data analysis was carried out through the stages of data reduction, data presentation, concluding, and verification of research results. The results of the study found seven-character values ​​as follows: (1) fable Crocodile and Singer Bird found polite and friendly characters; (2) Arrogant fable leaves are found to be humble and environmentally conscious characters; (3) the Young Mouse fable is found to be a character of curiosity; (4) fable Herders and Wild Goats found fair characters; and (5) the fable of contention of bees and wasps found wise character. Abstrak Iswan Afandi & Juanda; Application of Character Education . Tujuan penelitian ini adalah mendeskripsikan jenis karakter yang terdapat dalam fabelonline dengan pendekatan sastra anak dan pendidikan karakter. Metode penelitian, yaitu kualitatif deskriptif dengan teknik analisis isi. Analisis data dilakukan dengan teknik analisis isi dan teknik deskriptif. Pengumpulan data dilakukan berdasarkan kepustakaan. Sumber data, yaitu5fabelbertema pendidikan karakterdi unduh secara online melalui web https://dongengceritarakyat.com/. Jenis karakter yang ditemukan dideskripsikan secara terperinci sesuai dengan kutipan yang ditemukan dalam fabel. Analisis data dilakukan melalui tahapanreduksi data, penyajian data, pengambilan simpulan, dan verifikasi hasil penelitian. Hasil penelitian ditemukan tujuh nilai karakter sebagai berikut: (1) fabelBuaya dan Burung Penyanyiditemukan karakter sopan dan bersahabat; (2) fabelDaun yang Sombongditemukan karakter rendah hati dan peduli lingkungan; (3) fabel Tikus Muda ditemukan karakter rasa ingin tahu; (4) fabel Penggembala dan Kambing Liar ditemukan karakter adil; dan (5) fabelPertengkaran Lebah dan Tawon ditemukan karakter bijaksana. Kata kunci: sastra anak, fabel, nilai karakter
A 40-GHz Load Modulated Balanced Power Amplifier Using Unequal Power Splitter and Phase Compensation Network in 45-nm SOI CMOS

In this work, a ten-way power-combined power amplifier is designed using a load modulated balanced amplifier (LMBA)-based architecture. To provide the required magnitude and phase controls between the main and control-signal paths of the LMBA, an unequal power splitter and a phase compensation network are proposed. As proof of concept, the designed power amplifier is implemented in a 45-nm SOI CMOS process. At 40 GHz, it delivers a 25.1 dBm <inline-formula> <tex-math notation="LaTeX">$\text{P}_{\text {sat}}$ </tex-math></inline-formula> with a peak power-added efficiency (PAE) of 27.9%. At 6-dB power back-off level, it achieves 1.39 times drain efficiency enhancement over an ideal Class-B power amplifier. Using a 200-MHz single-carrier 64-QAM signal, the designed amplifier delivers an average output power of 16.5 dBm with a PAE of 13.1% at an EVM<sub>rms</sub> of −23.9 dB and ACPR of −25.3 dBc. The die size, including all testing pads, is only 1.92 mm<sup>2</sup>. To the best of the authors’ knowledge, compared with the other recently published silicon-based LMBAs, this design achieves the highest <inline-formula> <tex-math notation="LaTeX">$\text{P}_{\text {sat}}$ </tex-math></inline-formula>.
An Investigation of the Five Factor Personality Traits and Innovation Skills of Students in Theology Education

This study aims to examine the relationship between personality traits and innovation skills among students in the Faculty of Islamic Sciences in Indonesia. Personal information form, Five Factor Personality Scale and Innovation Skills Scale were used as data collection tools. According to results it can be stated that there are significant relationships between the personality traits and innovation skills of students in the Faculty of Islamic Sciences. Agreeableness and self-discipline dimensions are prominent factors in students' personality structures that support their innovation skills. Differences were observed in terms of gender and age variables at students. The higher self-discipline and neuroticism-based personality traits of female students determined. In terms of innovation skills, significant differences were found among students in the Faculty of Islamic Sciences based on their gender. It was determined that male students have a significantly higher perception of innovation skills. It was found that newly enrolled students (18-20 age group) have higher neuroticism traits compared to their older peers. Regarding the educational level variable, analyses showed no significant differences in the sub-dimensions of neuroticism, self-discipline, agreeableness, and openness to experience based on the educational level. In addition, results indicate that all personality traits show a significant relationship with innovation skills. While there is an inverse relationship between neuroticism and innovation skills, the other personality dimensions (extraversion, agreeableness, conscientiousness, and openness to experience) exhibit a positive relationship. These results indicate the need for educational programs and support services to be designed to enhance students' personality traits and innovation skills. Additionally, considering demographic factors such as gender and age is important to understand students' individual differences and needs.
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials

The Abisko project aims to develop an energy-efficient spiking neural network (SNN) computing architecture and software system capable of autonomous learning and operation. The SNN architecture explores novel neuromorphic devices that are based on resistive-switching materials, such as memristors and electrochemical RAM. Equally important, Abisko uses a deep codesign approach to pursue this goal by engaging experts from across the entire range of disciplines: materials, devices and circuits, architectures and integration, software, and algorithms. The key objectives of our Abisko project are threefold. First, we are designing an energy-optimized high-performance neuromorphic accelerator based on SNNs. This architecture is being designed as a chiplet that can be deployed in contemporary computer architectures and we are investigating novel neuromorphic materials to improve its design. Second, we are concurrently developing a productive software stack for the neuromorphic accelerator that will also be portable to other architectures, such as field-programmable gate arrays and GPUs. Third, we are creating a new deep codesign methodology and framework for developing clear interfaces, requirements, and metrics between each level of abstraction to enable the system design to be explored and implemented interchangeably with execution, measurement, a model, or simulation. As a motivating application for this codesign effort, we target the use of SNNs for an analog event detector for a high-energy physics sensor.
A new approach for periodic structures. Application to the calculation of tire vibrations.

This work gives a dynamical approach for periodic structures and the application to tire modellings. The static and dynamic properties of the constitutive materials of the tire have been measured. Some specific models of homogenization have been used to determinate the mechanical equivalent characteristics. The frequency response functions have been measured at several points on the tire in two cases of excitation force: on the tread belt and on the sidewalls. The dynamical theory of periodic structures is presented. A transformation into the cartesian reference system of the structures having the periodicity in the non-cartesian reference system has been suggested. The utilization of transformation in the case of tire ensures periodic conditions in the exploitation of the matrices of cells. The mobilities at several points of the tire have been calculated and compared with the measurement. This work allows in one side the dynamical studies of tire in the high frequency range and in the other side a parametrical study of the influence of the material properties and the tire inflation pressure.
LLVM RISC-V RV32X Graphics Extension Support and Characteristics Analysis of Graphics Programs

In recent years, virtual reality technology has become the dominant means of human-computer interaction, with computer graphics rendering technology being a crucial component in realizing virtual reality experiences. Rendering technology is an interdisciplinary field that encompasses various disciplines, including computer science, mathematics, and physics. Consequently, it faces challenges when it comes to designing graphics rendering processors and graphics extension instruction sets based on the RISC-V architecture. This paper utilizes the LLVM compiler to design support for RISC-V RV32X graphics extension instructions, encompassing both assembly-level and compilation-level support. It compiles the graphics rendering program in conjunction with the compilation tool chain. Feature extraction of the graphics rendering program is performed using script and feature analysis tools. The microarchitecture independent characteristics of the graphics rendering programs on the RISC-V architecture, X86 architecture, and ARM architecture are compared and analyzed at both the instruction level and memory level. The experimental results demonstrate that the RISC-V ray tracing test program exhibits higher instruction-level parallelism compared to the X86 ray tracing program, but lower than the ARM ray tracing program. Moreover, in terms of instruction mix, the proportion of arithmetic instructions in the RISC-V ray tracing test program is higher than that in the X86 ray tracing program but lower than that in the ARM ray tracing program. The proportion of memory access instructions in the RISC-V ray tracing test program is higher than that in the X86 ray tracing program, while lower than that in the ARM ray tracing program. Additionally, the RISC-V ray tracing test program exhibits relatively short memory reuse distance, enabling efficient data reuse in registers and reducing the need for frequent memory access.
TQFTs from Quasi-Hopf Algebras and Group Cocycles

In three dimensions, a topological quantum field theory, or TQFT, is a functor from the category of 3-dimensional framed cobordisms to the category of vector spaces. Two well-known TQFTs are the Hennings TQFT and the Dijkgraaf-Witten TQFT. The Hennings TQFT is built from a link invariant, by applying elements of a Hopf algebra in a systematic way to tangle diagrams. The Dijkgraaf-Witten TQFT is built by counting principal bundles on a 3-manifold which have been weighted by a 3-cocycle. We prove that the Hennings TQFT applied on the double of the group algebra is equivalent to the Dijkgraaf-Witten TQFT applied on a trivial cocycle. In order to extend this result to the more general case of a non-trivial cocycle, we discuss the notion of a quasi-Hopf algebra, which is an almost-cocommutative Hopf algebra. We then extend the definition of the Hennings TQFT so that instead of applying elements of a Hopf algebra to the tangle, we instead apply elements of a quasi-Hopf algebra. The specific quasi-Hopf algebra in which we are interested is the twisted double of the group algebra, where the twisting occurs via a 3-cocycle. Finally, we conjecture that the Hennings TQFT applied on the twisted double of the group algebra is equivalent to the Dijkgraaf-Witten TQFT applied on the same cocycle.
A Dual-Branch Network for Few-Shot Vehicle Re-Identification With Enhanced Global and Local Features

Traditional vehicle re-identification (Re-ID) methods mainly rely on large-size training samples to achieve better results. However, obtaining abundant training samples is challenging for applications of these methods to few-shot vehicle Re-ID in real-world traffic scenes. To address this challenge, we propose a dual-branch network (DB-Net) for few-shot vehicle Re-ID with enhanced global and local features. Our proposed method reduces the dependence of vehicle Re-ID network on a large number of training samples by improving its feature expression ability and feature quality, rather than synthesizing vehicle images in traditional methods. The proposed DB-Net, composed of global and local branches, extracts global appearance features and local detail features of the vehicle. A global feature optimization module in the DB-Net mines and maintains more global semantic information using convolution and concat operations. Also, a feature screening module selects the most relevant local features based on mutual information and Shell sorting to enhance local features. In addition, a local attention module (L-ATT) assigns adaptive weights to enhance salient local regions. Our approach is evaluated on a new dataset (Veri-FS) with small sample sizes and poor illumination conditions. It outperforms state-of-the-art methods on VehicleID, VeRi-776, and Veri-FS datasets, demonstrating its effectiveness in few-shot vehicle Re-ID.
Application of Complementary Error Function to the Transition Zone of Myopic Ablation Shapes in Refractive Surgery

In refractive surgery, the cubic spline fit for the transition zone breaks down for myopia and myopic meridians in mixed astigmatism as in many cases the cubic spline function runs into negative values. In this paper, the complementary error function is proposed instead of the cubic spline function as the transition zone function, due to the availability of analytical expression of its derivatives and the nonnegativity fact. It is shown that with the use of the complementary error function, transition zones for all refractive types work correctly.
Robustness properties preservation in suboptimal T1DM H∞ control: ω‐SPR substitutions

Suboptimal H∞ controllers have been proposed to deal with robust glucose regulation problem at type 1 diabetic patients. The features of such controllers involve robust stability and robust performance. These suboptimal H∞ controllers are designed at a specific frequencies response, which corresponds to a diabetic type 1 under specific physiological conditions. An open problem stands for preservation of the robustness controller properties for a different frequencies interval beyond the used for designing. This problem is motivated by the possibility of finding distinct frequency response at T1DM patients around the world or under different physiological conditions. In this contribution, the SPR functions are exploited to analyze the robust stability and robust performance preservation. This analysis is done for each one transfer function in closed‐loop related to intake; our results are relevant because of the design range of the controllers can be extended which means that the controllers can be used on the patients with different physiological conditions.
Online multiple object tracking using confidence score-based appearance model learning and hierarchical data association

The goal of multiple object tracking (MOT) is to estimate the locations of objects and maintain their identities consistently to yield their individual trajectories. MOT has been developed enormously, but it is still a challenging work due to similar appearances of different objects and occlusion by other objects or background in a complex scene. In this study, the authors propose confidence score-based appearance model learning and hierarchical data association for MOT. First, the confidence score is used to divide associated tracklet-detection in the first stage data association into confident and unconfident results, and in the second stage, data association is applied to unconfident tracklet-detection to improve the performance. Furthermore, it can be employed to enhance the robustness of the appearance model and due to the fast confidence score calculation, it can balance the accuracy and processing time. The experimental results with challenging public datasets show distinct performance improvement over other state-of-the-art methods and demonstrate the effect of the authors' method for online MOT.
PENERAPAN POLA PERMINTAAN DARAH METODE ASSOCIATION RULE MENGGUNAKAN ALGORITMA APRIORI

Unit Donor Darah (UDD) di Palang Merah Indonesia (PMI) Kota Pontianak memiliki tugas untuk dapat memenuhi permintaan darah bagi yang membutuhkan. Namun dalam pelaksanaannya, tidak semua dapat terpenuh, untuk mengatasi masalah tersebut diperlukan sebuah pola data transaksi permintaan darah untuk dapat mengetahui pola permintaan darah terbanyak setiap rumah sakit sehingga UDD PMI Kota Pontianak dapat meminimasilir tidak terpenuhinya jumlah permintaan darah. Penggunaan Algoritma Apriori dalam menentukan pola asosiasi dapat digunakan untuk menemukan pola pola item dalam database yang memiliki minimum support dan pola frekuensi tinggi. Pola permintan darah yang dihasilkan dari pernggunaan algoritma aprioari, disimpulkan berdasarkan hasil uji penentuan nilai minimum support yang memberikan hasil yang berbeda-beda pada nilai support, dengan juga mempertimbangkan nilai confidence pada pola permintaan darah. Pola permintaan yang sering dilakukan adalah jenis golongan darah A(+), O(+), dan B(+) confiddence 100%. Berdasarkan aturan asosiasi final diketahi bahwa jika meminta darah A(+), maka meminta darah AB(+) dengan confidence 90%, jika meminta darah B(+), maka meminta darah A(+) dengan confidence 95,23%, jika meminta darah O(+), maka meminta darah A(+) dengan confidence 95,23%, jika meminta darah A(+), maka meminta darah O(+) dan B(+) dengan confidence 100% dan jika meminta darah O(+) dan B(+), maka meminta darah A(+) dengan confidence 100%.
Hierarchical and successive approximate registration of the non-rigid medical image based on thin-plate splines

The hierarchical and successive approximate registration method of non-rigid medical image based on the thin-plate splines is proposed in the paper. There are two major novelties in the proposed method. First, the hierarchical registration based on Wavelet transform is used. The approximate image of Wavelet transform is selected as the registered object. Second, the successive approximation registration method is used to accomplish the non-rigid medical images registration, i.e. the local regions of the couple images are registered roughly based on the thin-plate splines, then, the current rough registration result is selected as the object to be registered in the following registration procedure. Experiments show that the proposed method is effective in the registration process of the non-rigid medical images.
An SIW Periodic Leaky-Wave Antenna With Dual-Stopband and Grating Lobe Simultaneously Suppressed Using a New Slot-Array Within a Half-Period

This letter proposes a new substrate integrated waveguide (SIW) periodic leaky-wave antenna (PLWA) with dual-stopband and grating lobe simultaneously suppressed, in which a new slot-array structure within a half-period is used per unit cell. A PLWA with low permittivity usually encounters two stopbands (i.e., an open stopband and the next coming stopband) as the main beam scans through broadside and in the forward quadrant. Besides, it also suffers from an unwanted grating lobe caused by the n = −2 space harmonic as the main beam scans in the forward direction. In order to simultaneously suppress the two stopbands and the grating lobe, we propose and investigate a new SIW PLWA with a new slot-array structure per unit cell. Such an antenna with a low relative permittivity of 2.2 is demonstrated. It is validated that the antenna can produce a single beam scanning continuously from the backward quadrant to near forward endfire.
Tsp-1+ microglia attenuate retinal neovascularization by maintaining the expression of Smad3 in endothelial cells through exosomes with decreased miR-27a-5p

Rationale: Microglia with a repertoire of functions are critical in pathological regulation of angiogenesis in the retina. However, retinal microglia with beneficial contributions and corresponding mechanisms during pathological neovascularization are poorly understood. Methods: We conducted a bioinformatic comparison of public single-cell RNA transcriptome data between retinal microglia from mice with oxygen-induced retinopathy (OIR) and an antiangiogenic microglial population named MG3 from the spine. The essential beneficial factor thrombospondin-1 (Tsp-1) from microglia was discovered and then validated in the retina of mice with OIR at P17. Exosomes were isolated from Tsp-1-knockout microglia (KO-Exos) and Tsp-1+ microglia (NT-Exos). Human umbilical vein endothelial cells (HUVEC) morphology studies, exosomes' miRNA sequencing, luciferase reporter assay, miRNA loss of function studies, and intravitreal injection were used to explore the mechanism of Tsp-1 and microglia-associated retinal angiogenesis. Results: The bioinformatic analyses of single-cell RNA-seq data indicated that a subtype of retinal microglia named RMG1 shares features with MG3 in regulating wound healing, cell adhesion, and angiogenesis. Remarkably, Tsp-1, an extracellular matrix protein with robust inhibition of angiogenesis, was especially expressed in both MG3 and RMG1. However, the scarcity of Tsp-1+ cells was observed in RMG1, which could be an obstacle to attenuating retinal neovascularization. Subsequently, we found that exosomes derived from Tsp-1+ microglia inhibit the migration and tube formation of HUVEC. Moreover, the knockout of Tsp-1 led to the enrichment of miR-27a-5p in exosomes from microglia and promoted angiogenesis compared to that of NT-Exos in vitro. Furthermore, in the luciferase reporter assay on the transcriptional activity of the promoter, we demonstrated that Tsp-1 negatively regulates miR-27a-5p expression. In addition, SMAD family member 3 (Smad3), a receptor-activated Smad protein that is conducive to vascular homeostasis, was defined as a functional target gene of miR-27a-5p. These data were consistently confirmed in vivo in the retina of mice with OIR. Conclusion: Collectively, the Tsp-1/miR-27a-5p/Smad3 axis is involved in microglia-related and exosome-mediated antiangiogenic regulation of the retina. Therefore, this study reveals a novel mechanism by which retinal microglia maintain vascular homeostasis, thereby providing a new therapeutic target for pathological neovascularization.
Color Mura Defect Detection Method Based on Channel Contrast Sensitivity Function Filtering

To address the issue of low detection accuracy caused by low contrast in color Mura defects, this paper proposes a color Mura defect detection method based on channel contrast sensitivity function (CSF) filtering. The RGB image of the captured liquid crystal display (LCD) display is converted to the Lab color space, and the Weber contrast feature maps of the Lab channel images are calculated. Frequency domain filtering is performed using the CSF to obtain visually sensitive Lab feature maps. Color Mura defect detection is achieved by employing adaptive segmentation thresholds based on the fused feature maps of the L channel and ab channels. The color Mura evaluation criterion is utilized to quantitatively assess the defect detection results. Experimental results demonstrate that the proposed method achieves an accuracy rate of 87% in color Mura defect detection, outperforming existing mainstream detection methods.