Miracle-dz/UniFAR-FTUs huggingface dataset:
Digitalisasi Administrasi Surat Perintah Tugas (SPT) untuk Mendukung Kinerja Aparatur Sipil Negara pada Biro Administrasi Pimpinan Sekretariat Daerah Provinsi Jawa Timur

Salah satu bentuk tugas bagian di Biro Administrasi Pimpinan Sekretariat Daerah Provinsi Jawa Timur adalah melaksanakan tugas di luar kantor (dinas luar). Dinas luar yang melekat pada setiap pegawai adalah dengan mendapatkan surat perintah tugas (spt) sebagai bentuk laporan pertanggungjawaban dari kegiatan yang sudah dilaksanakan. Kendala yang sering terjadi adalah keterlambatan dalam pembuatan surat perintah tugas, sehingga tugas sudah selesai dilaksanakan kemudian administrasi spt menyusul. Oleh karena itu untuk mempercepat penyesuaian administrasi dengan pelaksanaan, maka diperlukan proses administrasi yang memadai, salah satunya dengan membuat administrasi elektronik dalam bentuk aplikasi digitalisasi elektronik surat perintah tugas. Pembuatan digitalisasi elektronik ini dikembangkan dengan menggunakan metode waterfall untuk mempermudah dalam pembuatannya. Rancangan model aplikasi dibuat dengan menggunakan model notasi Unified Modelling Languange (UML) dengan memanfaatkan model use case diagram, dan activity diagram. Kemudian untuk pembuatan aplikasi dibangun menggunakan teknologi berbasis web dengan memanfaatkan kode program berbasis PHP dengan penyimpanan data dengan menggunakan database MySQL. Hasil aplikasi digitalisasi elektronik surat perintah tugas yang dibuat dapat membantu mempercepat pembuatan surat perintah tugas, sehingga dapat membantu mempermudah kinerja dari pegawai/aparatur sipil negara dalam melaksanakan tugas/dinas luar.
Guaranteed cost and Ho3 filtering for time delay systems

In this paper, we consider the guaranteed cost filtering and H, filtering design methods for linear time delay systems in continuous-time and discrete-time, respectively. The main purpose is to design stable filters which minimize the guaranteed cost in guaranteed cost filter and H, performance measure in H, filter. In guaranteed cost filtering, the sufficient conditions for the existence of filters, the guaranteed cost filter design method, and the upper bound of the guaranteed cost are proposed. Also, the sufficient conditions for the existence of H, filters, the H, filter design method, and the upper bound of H, norm are presented in H, filtering. Since the proposed sufficient conditions are LMI(linear matrix inequality) forms in terms of all finding variables, all solutions can be obtained simultaneously. Moreover, we present optimization problems in order to get the optimal guaranteed cost filters and H, filters in continuous-time and discrete-time case, respectively.
Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-at-Risk

The synthesis of computed tomography (CT) images from magnetic resonance imaging (MR) images and segmentation of target and organs-at-risk (OARs) are two important tasks in MR-only radiotherapy treatment planning (RTP). Some methods have been proposed to utilize the paired MR and CT images for MR-CT synthesis or target and OARs segmentation. However, these methods usually handle synthesis and segmentation as two separate tasks, and ignore the inevitable registration errors in paired images after standard registration. In this article, we propose a cross-task feedback fusion generative adversarial network (CTFF-GAN) for joint MR-CT synthesis and segmentation of target and OARs to enhance each task’s performance. Specifically, we propose a cross-task feedback fusion (CTFF) module to feedback the semantic information from the segmentation task to the synthesis task for the anatomical structure correction in synthetic CT images. Besides, we use CT images synthesized from MR images for multimodal segmentation to eliminate the registration errors. Moreover, we develop a multitask discriminator to urge the generator to devote more attention to the organ boundaries. Experiments on our nasopharyngeal carcinoma dataset show that CTFF-GAN achieves impressive performance with MAE of 70.69 <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 10.50 HU, SSIM of 0.755 <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 0.03, and PSNR of 27.44 <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 1.20 dB in synthetic CT, and the mean dice of 0.783 <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 0.075 in target and OARs segmentation. Our CTFF-GAN outperforms state-of-the-art methods in both the synthesis and segmentation tasks.
Lessons from a multicenter clinical trial with an approved wearable electrocardiogram: issues and practical considerations

Although wearable electrocardiograms (ECGs) are being increasingly applied in clinical settings, validation methods have not been standardized. As an exploratory evaluation, we performed a multicenter clinical trial implementing an approved wearable patch ECG. Healthy male adults were enrolled in 2 study centers. The approved ECGs were deployed for 6 hours, and pulse rates were measured independently with conventional pulse oximetry at selected time points for correlation analyses. The transmission status of the data was evaluated by heart rates and classified into valid, invalid, and missing. A total of 55 subjects (40 in center 1 and 15 in center 2) completed the study. Overall, 77.40% of heart rates were within the valid range. Invalid and missing data accounted for 1.42% and 21.23%, respectively. There were significant differences in valid and missing data between centers. The proportion of missing data in center 1 (24.77%) was more than twice center 2 (11.77%). Heart rates measured by the wearable ECG and conventional pulse oximetry showed a poor correlation (intraclass correlation coefficient = 0.0454). In conclusion, we evaluated the multicenter feasibility of implementing wearable ECGs. The results suggest that systems to mitigate multicenter discrepancies and remove artifacts should be implemented prior to performing a clinical trial. Trial Registration ClinicalTrials.gov Identifier: NCT05182684
Genome-Wide Characterization of QYYZ-Like PRRSV During 2018–2021

In the last decade, the emergence of QYYZ-like porcine reproductive and respiratory syndrome virus (PRRSV) has attracted increasing attention due to the high incidence of PRRSV mutation and recombination. However, the endemic status and genomic characteristics of the QYYZ-like strains are unclear. From 2018 to October 2021, 24 QYYZ-like PRRSV isolates were obtained from 787 PRRSV-positive clinical samples. Only one QYYZ-like positive sample was from a northern province, and the rest were from central and southern provinces. We selected 9 samples for whole-genome sequencing, revealing genome lengths of 15,008–15,316 nt. We retrieved all the available whole-genome sequences of QYYZ-like PRRSVs isolated in China from 2010 to 2021 (n = 28) from GenBank and analyzed them together with the new whole-genome sequences (n = 9). Phylogenetic tree analysis based on the ORF5 gene showed that all QYYZ-like PRRSV strains belonged to sublineage 3.5 but were clustered into three lineages (sublineage 1.8, sublineage 3.5, and sublineage 8.7) based on whole-genome sequences. Genomic sequence alignment showed that QYYZ-like strains, have characteristic amino acids insertions or deletions in the Nsp2 region (same as NADC30, JXA1 and QYYZ) and that thirteen strains also had additional amino acid deletions, mostly between 468 and 518 aa. Moreover, QYYZ-like strains (sublineage 3.5) have seven identical characteristic amino acid mutations in ORF5. Recombination analysis revealed that almost all QYYZ-like complete genome sequences (36/37) were products of recombination and mainly provided structural protein fragments (GP2-N) for the recombinant strains. Overall, QYYZ-like strains were mainly prevalent in central and southern China from 2018 to 2021, and these strains provided recombinant fragments in the PRRSV epidemic in China.
Selection and Identification of a DNA Aptamer for Multidrug-Resistant Acinetobacter baumannii Using an In-House Cell-SELEX Methodology

Infections caused by multidrug-resistant A. baumannii are a worldwide health concern with high mortality rates. Rapid identification of this infectious agent is critical as it can easily spread with difficult or no options for treatment. In this context, the development of reliable and economically viable detection and therapeutic methodologies are still challenging. One of the promising solutions is the development of nucleic acid aptamers capable of interacting with bacteria. These aptamers can be used for specific recognition of infectious agents as well as for blocking their functions. Cell-SELEX technology currently allows the selection and identification of aptamers and is flexible enough to target molecules present in an entire bacterial cell without their prior knowledge. However, the aptamer technology is still facing many challenges, such as the complexity of the screening process. Here, we describe the selection and identification of a new aptamer A01, using an in-house whole-cell SELEX-based methodology, against multi-resistant Acinetobacter baumannii, with rapid execution and low cost. In addition, this protocol allowed the identification of the aptamer A01 with the whole A. baumannii cell as a target. The aptamer A01 demonstrated a binding preference to A. baumannii when compared to K. pneumoniae, C. albicans, and S. aureus in fluorescence assays. Although the time-kill assay did not show an effect on bacterial growth, the potential bactericidal or bacteriostatic cannot be totally discarded. The new categorized aptamer (A01) displayed a significant binding affinity to MDR A. baumannii.
Homologues of epigenetic pyrimidines: 5-alkyl-, 5-hydroxyalkyl and 5-acyluracil and -cytosine nucleotides: synthesis, enzymatic incorporation into DNA and effect on transcription with bacterial RNA polymerase

Homologues of natural epigenetic pyrimidine nucleosides and nucleotides were designed and synthesized. They included 5-ethyl-, 5-propyl-, 5-(1-hydroxyethyl)-, 5-(1-hydroxypropyl)- and 5-acetyl- and 5-propionylcytosine and -uracil 2′-deoxyribonucleosides and their corresponding 5′-O-triphosphates (dNXTPs). The epimers of 5-(1-hydroxyethyl)- and 5-(1-hydroxypropyl)pyrimidine nucleosides were separated and their absolute configuration was determined by a combination of X-ray and NMR analysis. The modified dNXTPs were used as substrates for PCR synthesis of modified DNA templates used for the study of transcription with bacterial RNA polymerase. Fundamental differences in transcription efficiency were observed, depending on the various modifications. The most notable effects included pronounced stimulation of transcription from 5-ethyluracil-bearing templates (200% transcription yield compared to natural thymine) and an enhancing effect of 5-acetylcytosine versus inhibiting effect of 5-acetyluracil. In summary, these results reveal that RNA polymerase copes with dramatically altered DNA structure and suggest that these nucleobases could potentially play roles as artificial epigenetic DNA nucleobases.
Implementation of Differential Equation of Single-Phase Source-Load System Based Control Algorithm for Three-Phase DSTATCOM under Stiff Source

Abstract This paper focuses on implementation of differential equation of the single-phase source-load system based control algorithm for three-phase distribution static compensator (DSTATCOM) in a power distribution system with a stiff source. The DSTATCOM has been adopted to alleviate the power quality issues such as load unbalancing, reactive power, and current harmonics, which are caused by solid-state equipment and devices. The proposed control algorithm is employed for extraction of fundamental active and reactive current components of polluted load currents, which are used for estimation of reference source currents. The control algorithm carries out computations by using a sliding sampling window that has a width of half of the fundamental cycle. The primary advantages of this control algorithm are immune to noise, not influenced from DC component that may exist in load current, and being less affected from frequency deviations. A prototype of voltage source converter (VSC)-based DSTATCOM is developed using a field programmable gate array (FPGA) processor to validate the proposed control algorithm and its performance is analyzed under steady-state and dynamic conditions. Experimental results demonstrate satisfactory performance of the DSTATCOM with the proposed control algorithm under linear and non-linear loads.
Predictors of health-related quality of life in patients undergoing extracorporeal membrane oxygenation for acute severe respiratory failure

Background Veno-venous extracorporeal membrane oxygenation (VV-ECMO) is a form of life support used in severe respiratory failure. While the short-term complications of VV-ECMO are well described, impacts on health-related quality of life (HRQOL) are less well characterised. This study aims to assess the HRQOL of patients who underwent VV-ECMO for acute severe respiratory failure and explore predictors of poor HRQOL. Methods We performed a retrospective, observational study of a large cohort of adults who underwent VV-ECMO for acute severe respiratory failure in a single tertiary centre (June 2013–March 2019). Patients surviving critical care discharge were invited to a six-month clinic, where they completed an EQ-5D-5L questionnaire assessing HRQOL. Multivariate analysis was performed to assess prognostic factors for HRQOL. Results Among the 245 consecutive patients included in this study (median age 45 years), 187 (76.3%) survived until ECMO decannulation and 172 (70.2%) until hospital discharge. Of those, 98 (57.3%) attended a follow-up clinic at a mean (±SD) of 204 (±45) days post-discharge. Patients reported problems with pain/discomfort (56%), usual daily activities (53%), anxiety/depression (49%), mobility (46%), and personal care (21%). Multivariate analysis identified limb ischaemia (−0.266, 95% C.I. [−0.116; −0.415], p = 0.0005), renal replacement therapy (−0.149, [−0.046; −0.252], p = 0.0044), and having received more than four platelet units (−0.157, [−0.031; −0.283], p = 0.0146) as predictors of poor HRQOL. Conclusion We report that survivors of VV-ECMO have reduced HRQOL in multiple domains at 6 months, with pain reported most frequently. Patients who had limb ischaemia, renal replacement therapy or were transfused more than four units of platelets are particularly at risk of poor HRQOL and may benefit from added support measures.
SimRank similarity preserving projection for shape‐based 3D model auto‐annotation

We present a new dimensionality reduction method, called SimRank similarity preserving projection (SSPP), that finds a subspace preserving semantic similarity among data represented with SimRank similarity on a bipartite graph. The relationship between 3D models and keywords in a tagged 3D model dataset is represented with bipartite graph. For shape‐based 3D model auto‐annotation, we try to capture the relationship of tagged 3D models by SSPP. Experimental results show that our method outperforms the baseline and previous methods.
Interprofessional Education Module on Post–Intensive Care Syndrome for Internal Medicine Residents

Background Prevention of post–intensive care syndrome (PICS) in critically ill patients requires interprofessional collaboration among physicians, physical therapists, occupational therapists, speech–language pathologists, and nutritionists. Interprofessional education promotes interprofessional collaborative practice, yet formalized interprofessional education during residency is uncommon. Objective We sought to improve internal medicine residents’ knowledge of interprofessional roles in the intensive care unit (ICU) and confidence in managing PICS by designing a virtual multimodal training module. Methods We created a 3-hour virtual module with physical therapy, occupational therapy, speech–language pathology, and nutrition experts. First, learners reviewed PICS and multidisciplinary interventions to optimize patient recovery. Second, attendees watched videos created by physical therapy and occupational therapy colleagues demonstrating mobility strategies to manage ICU-acquired weakness and delirium. Third, participants learned how speech–language pathology experts evaluate and manage swallowing disorders. Finally, attendees identified common nutritional therapy challenges with a trivia session. Participants completed pre- and postcourse assessments. Results Thirty-four residents completed both pre- and postcourse assessments (52% response rate). The mean objective assessment score improved from 51% to 79% (P < 0.001). All respondents reported that their knowledge of PICS increased, and almost all (97%) believed that their knowledge of interprofessional roles increased. Respondents’ confidence in facilitating discussions about critical illness recovery significantly improved, from 77% rating as either not very confident or not at all confident before the course to 94% rating as somewhat confident or very confident after the course (P < 0.001). Conclusion This single-site pilot study suggests that integrating interprofessional training in PICS education using virtual platforms may improve residents’ knowledge of interprofessional roles in the ICU and confidence in managing PICS.
Geomagnetic Detection of the Atmospheric Acoustic Resonance at 3.8 mHz During the Hunga Tonga Eruption Event on 15 January 2022

Modeling studies have predicted that the acoustic resonance of the atmosphere during geophysical events such as earthquakes and volcanos can lead to an oscillation of the geomagnetic field with a frequency of about 4 mHz. However, observational evidence is still limited due to scarcity of suitable events. On 15 January 2022, the submarine volcano Hunga Tonga‐Hunga Ha'apai (20.5°S, 175.4°W, Tonga) erupted in the Pacific Ocean and caused severe atmospheric disturbance, providing an opportunity to investigate geomagnetic effects associated with acoustic resonance. Following the eruption, geomagnetic oscillation is observed at Apia, approximately 835 km from Hunga Tonga, mainly in the Pc 5 band (150–600 s, or 1.7–6.7 mHz) lasting for about 2 hr. The dominant frequency of the oscillation is 3.8 mHz, which is consistent with the frequency of the atmospheric oscillation due to acoustic resonance. The oscillation is most prominent in the eastward (Y) component, with an amplitude of ∼3 nT, which is much larger than those previously reported for other events (<1 nT). Comparably large oscillation is not found at other stations located further away (>2700 km). However, geomagnetic oscillation with a much smaller amplitude (∼0.3 nT) is observed at Honolulu, which is located near the magnetic conjugate point of Hunga Tonga, in a similar wave form as at Apia, indicating interhemispheric coupling. This is the first time that geomagnetic oscillations due to the atmospheric acoustic resonance are simultaneously detected at magnetic conjugate points.
Self-Supervised Learning for Multimedia Recommendation

Learning representations for multimedia content is critical for multimedia recommendation. Current representation learning methods roughly fall into two groups: (1) using the historical interactions to create ID embeddings of users and items, and (2) treating multi-modal data as the side information of items to enrich their ID embeddings. Each user-item interaction offers the supervisory signal to optimize the representation learning by the traditional supervised learning paradigm. Due to the overlook of the multi-modal patterns ($e.g.$, co-occurrence of visual, acoustic, textual features in micro-videos a user saw before, and her behavioral features) hidden in the data, these methods are insufficient to create powerful representations and obtain satisfactory recommendation accuracy. To capture multi-modal patterns in the data itself, we go beyond the supervised learning paradigm, and incorporate the idea of self-supervised learning (SSL) into multimedia recommendation. Specifically, SSL consists of two components: (1) data augmentation upon multi-modal contents, where we design three operators — feature dropout (FD), feature masking (FM), feature fine and coarse spaces (FAC) — to generate multiple views of individual items; and (2) contrastive learning, which differentiates the views of an item from the others’ to distill additional supervisory signals. Clearly, SSL enables us to explore and exhibit the underlying relations among modalities, thereby resulting in powerful representations. We denote the generic framework by Self-supervised Learning-guided Multimedia Recommendation (SLMRec). Extensive experiments are performed on three real-world datasets, showing that SLMRec achieves significant improvements over several state-of-the-art baselines like LightGCN [1], MMGCN [2]. Further analysis shows how SSL affects recommendation performance.
Combined Deep Learning of Fundus Images and Fluorescein Angiography for Retinal Artery/Vein Classification

We present a new framework for achieving highly accurate retinal artery/vein classification based on a combined input of fundus images and corresponding fluorescein angiography (FA) images. Although the observable bloodflow in FA sequences should be a definitive cue to discern artery and vein, it is often insufficient due to limitations in frame rate and image quality. Since fundus images are acquired by default, we incorporate both the fundus image and FA as the input to a deep learning framework comprising convolutional and graph neural networks. First, a convolutional neural network with a parallel structure is learned to extract features from the two image modalities. Then, these features are used as input to dual hierarchical graph neural networks for pixelwise classification based on the long-range connectivity of vessels. We provide empirical evidence based on ablative and comparative quantitative evaluations supporting the effectiveness of the proposed network configuration in combining the fundus image and FA. We also provide comparative evaluation supporting the improvement in performance compared to previous methods.