Miracle-dz/UniFAR-FTUs huggingface dataset:
Sebelasmaret Boccia Throw Test (SBTT) Instrument Development

This research aims to design Sebelasmaret boccia Throw Test (SBTT) instrument and test its validity and reliability. The research used Research and Development (R&D) method through six steps of instrument development by Gall, Gall, & Borg. 50 Indonesian boccia athletes with cerebral palsy (25 elite and 25 non-elite) participated to evaluate this instrument.In SBTT, players were instructed to throw boccia balls to the jack placed within the square, with each player given six throwing opportunities. The validity construct was tested by comparing throwing test results of elite and non-elite boccia athletes. Reliability testing was conducted by testing correlation between tests and retests. Data analysis was performed using the independent t test and Pearson correlation with the help of SPSS 16 software.Results show that there was a significant difference in SBTT test scores with p value < 0.05 and tstat (6.340) > ttable (2.011). Elite player group had higher average test score than non-elite player one, with average score of 18.56 and 8.20 respectively. This means that the SBTT is a test that can differentiate a boccia player's throwing skills based on playing experience.Test and retest results show a medium correlation on tests and retests (r = 0.707) with significant relation with p value (0.000) < 0.05. This means that boccia players have consistent performance in the SBTT test.Therefore, it is concluded that SBTT instrument is a valid and reliable instrument to assess boccia players’ throwing skills.
Synergetic alkoxy side‐chain and chlorine‐contained end group strategy toward high performance ultra‐narrow bandgap small molecule acceptors

Ultra-narrow bandgap (ultra-NBG) small molecule acceptors (SMAs) show great potential in organic solar cells (OSCs) due to the extend-ed near-infrared (NIR) absorption. In this work, a synergetic alkoxy side-chain and chlorine-contained end group strategy is employed to achieve A-DA’D-A type ultra-NBG SMAs by introducing alkoxy chains with oxygen atom at the second position into the thiophene β posi-tion as well as replacing the F atoms with Cl atoms in the end group. As a result, the heptacyclic BZO-4F shows a redshifted absorption onset (960 nm) than Y11 (932 nm) without oxygen atoms in the side chains. Then, the ﬂuorinated end groups are substituted with the chlorinated ones to synthesize BZO-4Cl. The absorption onset of BZO-4Cl is further redshifted to 990 nm, corresponding to an optical ultra-NBG of 1.25 eV. When blending with the polymer donor PBDB-T, the binary devices based on PBDB-T: BZO-4F and PBDB-T: BZO-4Cl delivers power conversion eﬃciencies (PCEs) over 12%. Furthermore, ternary devices with the addition of BZ4F-O-1 into PBDB-T: BZO-4Cl system achieve the optimal PCE of 15.51%. This work proposes a synergetic alkoxy side-chain and chlorine-contained end group strategy to achieve A-DA’D-A type ultra-NBG SMAs, which is important for future molecular design.
Kinetic geometric problems with smoothness constraints:optimizing forces for cable-driven parallel robots

A cable-driven parallel robot consists of an end-effector connected to a frame by cables which can be wound up or down in order to move the end-effector. Most approaches to calculate the forces needed to move this end-effector aim primarily at minimizing these forces. However, changes in forces should also be low. By interpreting the vector of forces as points in Euclidean space, this results in a kinetic geometric optimization problem with a smoothness constraint on the path of the solution. In this thesis we first consider a general way to add smoothness constraints to kinetic geometry problems. We then focus on solving the force problem for cable-driven parallel robot using linear programming with smoothness constraints. To make use of the low dimension of the problem on the one hand and the kinetic nature on the other hand, we base our approach on Seidel’s algorithm and re-use the final order of the constraints from the previous instance. We test our approach on randomly generated trajectories and find that it performs well for seven to ten cables and six degrees of freedom.
Penerapan Manajemen Resiko Pada Komputasi Awan

Penelitian bertujuan melakukan penerapan manajemen resiko pada komputasi awan. Seiring kemajuan di bidang teknologi informasi, paradigma komputasi awan menjadi salah satu penelitian yang banyak dilakukan. Dunia bisnis saat ini tidak bisa terlepas dari penggunaan komputasi awan. Komputasi awan dapat membantu agar bisnis bisa berkembang dan maju dengan proses manajemen resiko yang ditunjang oleh teknologi yang terkini. Oleh karena itu, dalam penelitian ini, menyampaikan perlunya penerapan manajemen resiko pada komputasi awan dalam lingkungan bisnis pada khususnya. Pembahasan meliputi berbagai pengetahuan tentang komputasi awan, resiko komputasi awan, keamanan informasi, tingkat kesadaran resiko, dan pengendalian yang relevan dengan fungsi teknologi informasi tertentu untuk dimigrasikan ke awan. Data dan informasi yang diproteksi dengan jaminan keamanan pada jaringan komputer yang terhubung pada awan dapat memberikan kepastian bahwa penerapan manajemen resiko pada komputasi awan telah berjalan secara maksimal. Fokus penelitian pada mengidentifikasi adanya resiko, bagaimana melakukan pengendalian terhadap fasilitas dan layanan yang menggunakan komputasi awan pada publik. Analisis dilakukan pada tingkat kesadaran resiko yang memadai dengan fokus pada resiko yang relevan dengan fungsi teknologi informasi untuk dipindahkan ke awan. Hasil pembahasan berupa rekomendasi untuk menerapkan layanan awan pada perusahaan, pada semua unit bisnis terutama pada perusahaan besar yang telah menggunakan teknologi komputasi awan. Dari langkah eksplorasi, selanjutnya perlu dipahamai bahwa penerapan manajemen resiko komputasi awan dapat berlangsung terus menerus dengan adanyta penelitian yang lebih luas lagi di bidang manajemen resiko komputasi awan.
Coordinating Demand Response and Wind Turbine Controls for Alleviating the First and Second Frequency Dips in Wind-Integrated Power Grids

This article introduces a method employing demand response (DR) and wind turbine (WT) to decrease the first and second frequency dips in power systems with the massive proliferation of wind resources. Inverter air conditioners (IACs) are utilized to participate in the DR program. The buildings' thermal model and the IACs' electrical model are integrated to characterize a relation between power system frequency and IACs regulation power. An adaptive delay controller is presented to capture the command communication delays from the DR controller to IACs. In addition, a controller is suggested to adopt wind power plants in system frequency regulation. This controller rises the wind plant output power for some seconds and returns it, following frequency recovery, to the initial power. The recovery period causes the second frequency dip, in response to which, a method is introduced to identify the moment of the second dip and alleviate it via DR.
Outlier detection using distributionally robust optimization under the Wasserstein metric

We present a Distributionally Robust Optimization (DRO) approach to outlier detection in a linear regression setting, where the closeness of probability distributions is measured using the Wasserstein metric. Training samples contaminated with outliers skew the regression plane computed by least squares and thus impede outlier detection. Classical approaches, such as robust regression, remedy this problem by downweighting the contribution of atypical data points. In contrast, our Wasserstein DRO approach hedges against a family of distributions that are close to the empirical distribution. We show that the resulting formulation encompasses a class of models, which include the regularized Least Absolute Deviation (LAD) as a special case. We provide new insights into the regularization term and give guidance on the selection of the regularization coefficient from the standpoint of a confidence region. We establish two types of performance guarantees for the solution to our formulation under mild conditions. One is related to its out-of-sample behavior, and the other concerns the discrepancy between the estimated and true regression planes. Extensive numerical results demonstrate the superiority of our approach to both robust regression and the regularized LAD in terms of estimation accuracy and outlier detection rates.
A Circularly Polarized Magneto-Electric Dipole Antenna Array With Wide AR and Impedance Bandwidth for Millimeter-Wave Applications

This letter presents a wideband circularly polarized (CP) magneto-electric (ME) dipole antenna array for millimeter-wave (mmW) applications. According to the design evolution, the proposed antenna element comes from a linearly polarized ME-dipole fed by an H-shaped slot, in which the microstrip patches work as electric dipoles, and the widths of the patches are first tuned to achieve an elliptically polarized wave. Then the L-shaped strips are loaded on the patches to further deflect currents, and two CP ME-dipole modes are generated by electric and magnetic currents in parallel. Next, some perturbations, including the conversion of L-shaped strips to F-shaped strips and the partial truncation of a pair of patches, are adopted to further improve the AR performance. The proposed CP ME-dipole antenna finally achieves an overlapped operating bandwidth of 32%. For verification, a 1-to-64 microstrip feeding network is designed to build a corporate-fed 8 × 8 array. The measured results indicate that the proposed CP array achieves an overall bandwidth of 31.7% covering 30.2–41.6 GHz, a peak gain of 22 dBic, and a radiation efficiency of greater than 64%. With outstanding CP performance and compact size, the proposed CP array is an attractive candidate for mmW and satellite communications.
Antecedents of Purchase Decision of Vape Users in Samarinda

Background: Vape, sometimes known as "electronic cigarettes," first made its way into Indonesia in 2012. As technology advances, vaping's popularity there is still rising. The vast number of people who traveled abroad for vacation is where it all began. They brought vaporizers with them when they went back to Indonesia. They introduced them to friends, family, and coworkers in their various communities, which led to many people switching from traditional cigarettes to vaping and raising the price of vape in Indonesia. Aim: The purpose of this study was to analyze and prove the effect of perceived enjoyment, social influence, subjective norms, personal gratification on the attitude of vape users in Samarinda City. Method: Researchers conducted quantitative research by providing questionnaires to residents of Samarinda who use vaping products. The questionnaire contains 26 indicators and 26 statements scores on a scale of 1 to 5, with one strongly disagreeing and five strongly agreeing. The sample size for the SEM (Structural Equation Modeling) analysis tool is 100-200 respondents to estimate interpretations with SEM performed on the IBM AMOS 23 software. Findings: Perceived enjoyment, social influence, subjective norms, and personal gratification significantly effect the attitudes of vape users in Samarinda City. In addition, attitude and intention significantly affects purchase decisions for vape users in Samarinda City.
Perception of self-assessment (SA) in learning nursing clinical skills

Background: Nursing is a practice-based discipline. Self-assessment (SA) encourages students to critically analyze their theoretical knowledge and apply them to practical settings. The aim of the study was to explore their perception of SA before and after its introductionMethodology: Pre validated semi-structured interview based on blood drawing and intra venous (IV) drug administering procedures for 2nd and 3rd year students.Results: Before introducing SA, students had concerns regarding the influence of ego, and SA will not be reliable in assessing nursing skills. After exposure, they were more optimistic about the benefits, obtained insight into performance and reflective learning.Conclusion: Students’ exposure to SA created a more positive outlook towards learning clinical skills.
Research on Autonomous Reconstruction Method for Dependent Combat Networks

Cascade effects arising from the interoperability of weapon systems in a dynamic battlefield environment make the combat system-of-systems (CSoS) portfolio decision a problem. In this article, we propose an integrated CSoS autonomous decision-making method framework for solving the autonomous planning problem of CSoS. Specifically, we employ a functional dependency network analysis method to capture the interdependencies between heterogeneous equipment and construct a dependent combat network (DCN). The network structure is considered as a decision action space, the CSoS formation process is considered as a portfolio decision process of the combat network, and then, an approximate dynamic programming method is employed to obtain the optimal policy function for CSoS. Finally, the validity of the proposed method is verified through a DCN case study. The results indicate that the CSoS reconstructed according to the optimal policy function restores an average of 20.2% of the lost operational capability under four attack scenarios. This study provides a technical method for autonomous planning and decision making of CSoS.
DNA barcoding data release for the Phoridae (Insecta, Diptera) of the Halimun-Salak National Park (Java, Indonesia)

Abstract Launched in 2015, the large-scale initiative Indonesian Biodiversity Discovery and Information System (IndoBioSys) is a multidisciplinary German-Indonesian collaboration with the main goal of establishing a standardised framework for species discovery and all associated steps. One aspect of the project includes the application of DNA barcoding for species identification and biodiversity assessments. In this framework, we conducted a large-scale assessment of the insect fauna of the Mount Halimun-Salak National Park which is one of the largest tropical rain-forest ecosystems left in West Java. In this study, we present the results of processing 5,034 specimens of Phoridae (scuttle flies) via DNA barcoding. Despite limited sequencing success, we obtained more than 500 clusters using different algorithms (RESL, ASAP, SpeciesIdentifier). Moreover, Chao statistics indicated that we drastically undersampled all trap sites, implying that the true diversity of Phoridae is, in fact, much higher. With this data release, we hope to shed some light on the hidden diversity of this megadiverse group of flies.
Machine Learning Derived TiO2 Embedded Frequency Selective Surface for EMI Shielding Applications

This work intends to offer the design, synthesis, and testing of a polarization-insensitive, angular stable, high shielding effectiveness (SE) nanoparticles embedded frequency selective surface (FSS) structure. Dielectric characterization of the titanium dioxide (<inline-formula> <tex-math notation="LaTeX">$\text {TiO}_{{2}}$ </tex-math></inline-formula>) nanoparticles with different particle sizes is investigated using the waveguide-based microwave measurement setup. SE of 8.4 dB is achieved with a 1.8 mm thick <inline-formula> <tex-math notation="LaTeX">$\text {TiO}_{{2}}$ </tex-math></inline-formula> layer. Further, an efficient equivalent circuit model (ECM) aided with the deep neural network (DNN) technique is used for material selection, parameter extraction, and understand the physical mechanism of the shielding structure. With the coupling of FSS with <inline-formula> <tex-math notation="LaTeX">$\text {TiO}_{{2}}$ </tex-math></inline-formula> nanoparticle substrate, the entire <inline-formula> <tex-math notation="LaTeX">${X}$ </tex-math></inline-formula>-band is shielded with a minimum SE of 19.52 dB and a mean SE of 26.9 dB. Additionally, angular stability up to 70° is achieved by cascading a compensation layer, and due to the symmetry of the offered FSS, the designed shielding structure is polarization insensitive. Results obtained from the ECM-backed DNN approach are verified first with full-wave simulation and then by fabrication of the prototype and corresponding measured results at both normal and oblique incidence. Good agreement among all verifies the potential of the aforesaid technique for <inline-formula> <tex-math notation="LaTeX">${X}$ </tex-math></inline-formula>-band shielding applications.
Three heuristics for δ-matching: δ-BM algorithms

We consider a version of pattern matching useful in processing large musical data: δ-matching, which consists in finding matches which are 6-approximate in the sense of the distance measured as maximum difference between symbols. The alphabet is an interval of integers, and the distance between two symbols a, b is measured as |a - b|. We present δ-matching algorithms fast on the average providing that the pattern is non-flatand the alphabet interval is large. The pattern is flat if its structure does not vary substantially. We also consider (δ, γ)-matching, where γ is a bound on the total number of errors. The algorithms, named δ-BM1, δ-BM2 and δ-BM3 can be thought as members of the generalized Boyer-Moore family of algorithms. The algorithms are fast on average. This is the first paper on the subject, previously only occurrence heuristics have been considered. Our heuristics are much stronger and refer to larger parts of texts (not only to single positions). We use δ-versions of suffix tries and subword graphs. Surprisingly, in the context of 6-matching subword graphs appear to be superior compared with compacted suffix trees.
QUASI-OPTIMAL CONVERGENCE FOR AN INEXACT AFEM

We analyze an adaptive nite element method (AFEM) which does not require an exact computation of the Galerkin approximation at each mesh. We propose to approximate the Galerkin solution Uk+1 at step k + 1 of the adaptive process up to a tolerance dictated by the dierence between ~ Uk and ~ Uk+1. Here ~ Uk denotes the computed approximate solution at step k of the adaptive iteration. The adaptive algorithm is guided by Dorer's marking strategy (2), using the residual-type a posteriori error estimators for the inexact (computed) solutions ~ Uk. We prove a quasi-optimality result analogous to those of Stevenson (3) and Casc on et. al. (1). This turns out to be a theoretical result of optimality for a very practical and realistic adaptive method, which is computationally cheaper than the usual AFEM. Several numerical tests show that a few iterations of the iterative linear solver are needed to obtain the desired accuracy in each step of the adaptive loop.
InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting

Long-term time series forecasting (LTSF) provides substantial benefits for numerous real-world applications, whereas places essential demands on the model capacity to capture long-range dependencies. Recent Transformer-based models have significantly improved LTSF performance. It is worth noting that Transformer with the self-attention mechanism was originally proposed to model language sequences whose tokens (i.e., words) are discrete and highly semantic. However, unlike language sequences, most time series are sequential and continuous numeric points. Time steps with temporal redundancy are weakly semantic, and only leveraging time-domain tokens is hard to depict the overall properties of time series (e.g., the overall trend and periodic variations). To address these problems, we propose a novel Transformer-based forecasting model named InParformer with an Interactive Parallel Attention (InPar Attention) mechanism. The InPar Attention is proposed to learn long-range dependencies comprehensively in both frequency and time domains. To improve its learning capacity and efficiency, we further design several mechanisms, including query selection, key-value pair compression, and recombination. Moreover, InParformer is constructed with evolutionary seasonal-trend decomposition modules to enhance intricate temporal pattern extraction. Extensive experiments on six real-world benchmarks show that InParformer outperforms the state-of-the-art forecasting Transformers.
Spectral Approach to Homogenization of Elliptic Operators in a Perforated Space

Let [Formula: see text] be a lattice. For [Formula: see text], we consider the perforated space [Formula: see text] which is an [Formula: see text]-periodic open connected set with Lipschitz boundary. In [Formula: see text], we consider a self-adjoint strongly elliptic second-order differential operator [Formula: see text] with periodic coefficients depending on [Formula: see text]. We study the behavior of the resolvent [Formula: see text] for small [Formula: see text]. Approximations for this resolvent in the [Formula: see text] and [Formula: see text]-operator norms with sharp order error estimates are found. The results are obtained by the operator-theoretic (spectral) approach. General results are applied to particular periodic operators of mathematical physics: the acoustics operator, the elasticity operator, and the Schrödinger operator with a singular potential.
A 4.9–7.1-GHz High-Efficiency Post-Matching GaN Front-End Module for Wi-Fi 7 Application

This article presents a modified transmit/receive (T/R) front-end module (FEM) architecture with improved transmitter (TX) efficiency. Single-pole double-throw (SPDT) switch is commonly adopted in conventional FEM for T/R isolation, but its insertion loss (IL) deteriorates TX efficiency greatly. To alleviate this problem, a post-matching (PM) architecture is proposed to eliminate the switch in the TX branch. Specifically, a PM network (PMN) is employed to transform 50-<inline-formula> <tex-math notation="LaTeX">$\Omega $ </tex-math></inline-formula> impedance at the antenna port into the intrinsic optimal load impedance of the power amplifier (PA), while the output capacitance of the PA is absorbed into a <inline-formula> <tex-math notation="LaTeX">$\lambda $ </tex-math></inline-formula>/4-transmission-line (TL)-based single-pole single-throw (SPST) switch in the receiver (RX) branch. The drain voltage of the PA can also be supplied via the SPST, avoiding the use of an additional choke inductor. The theoretical performance of the T/R switch, including bandwidth, IL, and isolation, is analyzed in depth. A 4.9–7.1-GHz FEM for Wi-Fi 7 application is implemented in a commercial 0.15-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> gallium nitride (GaN)-high-electron-mobility transistor (HEMT) process to validate the proposed architecture, and the chip size is only 2 <inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula> 1.6 mm. The TX mode realizes a saturated power of 37.1–38.6 dBm and a saturated power-added efficiency (PAE) of 45%–52.4%. With MCS9 EHT160 signals, an average PAE of 18.5%–23.3% at an average power of 28–29.9 dBm is measured, while the error vector magnitude (EVM) specification of – 32 dB is met. When digital predistortion (DPD) is applied, MCS13 EHT320 signals are also supported. The RX mode achieves a gain of 9.1–12.1 dB, a noise figure (NF) of 1.6–1.9 dB, and an input-referred third-order intercept point (IIP3) of 20.2–25.4 dBm.