Miracle-dz/UniFAR-FTUs huggingface dataset:
Lessons From a Quality Improvement Project to Standardize the Process of Gastric Biopsy Culture for Helicobacter pylori

Background: Despite expert recommendations, clinician’s adherence to pediatric societal clinical practice guidelines is variable, particularly with respect to the use of gastric biopsy culture in the initial diagnosis of Helicobacter pylori infection. In addition, the implementation of routine use of gastric biopsy culture has been challenging with several factors affecting the rate of successful primary H pylori culture. Methods: We conducted a quality improvement (QI) project with the aims of increasing the rate of successful primary culture. The QI project involved educational efforts among our gastroenterologists, endoscopy suite personnel, and laboratory personnel. We compared the frequency of gastric biopsy culture sent in patients with international classification of diseases 9th revision code 041.86, and 10th revision codes B96.81 evaluated by pediatric gastroenterologists at Boston Children’s Hospital during the 9 months before the QI intervention (February 1, 2019 to October 31, 2019) and 9 months after the QI intervention (November 1 2019 to July 31 2020). We also compared the rate of culture growth in patients with positive histology (culture positivity), and antimicrobial susceptibilities before and after November 1, 2019. Results: We observed an increased frequency of gastric biopsy acquisition by any gastroenterologist, obtained in 39% (28 of 71) preintervention patients compared with 67% (36 of 54) intervention patients (P = 0.004). There was an increase in the percentage of culture positivity across study periods from 21% (3 of 14) preintervention to 45% (5 of 11) postintervention (P = 0.39; 95% confidence interval, 0.64-7.00). Conclusion: Educational initiatives and collaborative work with staff physicians, endoscopy personnel, and hospital laboratory appear to be effective tools to increase usage of gastric biopsy culture as a diagnostic tool for H pylori infection and to increase culture positivity. Improving the surveillance of local resistance rates will improve the selection of the most effective primary treatment in specific geographic areas.
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems

As the deep learning techniques have expanded to real-world recommendation tasks, many deep neural network based Collaborative Filtering (CF) models have been developed to project user-item interactions into latent feature space, based on various neural architectures, such as multi-layer perceptron, autoencoder, and graph neural networks. However, the majority of existing collaborative filtering systems are not well designed to handle missing data. Particularly, in order to inject the negative signals in the training phase, these solutions largely rely on negative sampling from unobserved user-item interactions and simply treating them as negative instances, which brings the recommendation performance degradation. To address the issues, we develop a Collaborative Reflection-Augmented Autoencoder Network (CRANet), that is capable of exploring transferable knowledge from observed and unobserved user-item interactions. The network architecture of CRANet is formed of an integrative structure with a reflective receptor network and an information fusion autoencoder module, which endows our recommendation framework with the ability of encoding implicit user’s pairwise preference on both interacted and non-interacted items. Additionally, a parametric regularization-based tied-weight scheme is designed to perform robust joint training of the two-stage CRANetmodel. We finally experimentally validate CRANeton four diverse benchmark datasets corresponding to two recommendation tasks, to show that debiasing the negative signals of user-item interactions improves the performance as compared to various state-of-the-art recommendation techniques. Our source code is available at https://github.com/akaxlh/CRANet.
Incorporation of a game-based approach into the EFL online classrooms: students' perceptions

ABSTRACT This study functioned as a digital literacy technique that aided in raising students' motivation and classroom dynamics in reviewing writing structure, terminologies, and related knowledge. This study investigated the effects of integrating questioning strategies with the game-based student response system (GSRS), Kahoot! , into English literature courses. Specifically, this study explored students' perception of Kahoot! on raising engagement and classroom dynamics while reviewing writing structure, terminologies, and knowledge in the EFL online classrooms. This research is based on the premise of intrinsic motivation and game flow. A total of 276 undergraduate learners were observed in the study, including 233 (154 female and 79 male) surveyed from two English language classrooms. Data that emerged within the EFL context shed light on how and when Kahoot! positively influences students' learning experiences, including boosting students' enthusiasm, encouraging inquisitiveness and contribution in identifying knowledge gaps, and understanding the subject matter. The study utilized a t-test and one-way ANOVA, which revealed that students have positive attitudes toward a game-based approach in English learning, suggesting that educational competitions in the classroom reduce interferences and cultivate the quality of teaching and learning beyond what is offered in traditional classrooms.
Dirac operator with different potentials on edges of quantum graph: resonance asymptotics

Asymptotics of resonances for the Dirac operator with different potentials on edges of a quantum graph with the Kirchhoff coupling conditions at vertices is studied. The results are obtained for a quantum graph that consists of a compact interior and a ﬁnite number of exterior edges of inﬁnite length connected to the interior.
Upaya Meningkatkan Penguasaan Kosakata Bahasa Indonesia dengan Menggunakan Permainan Anagram di Sekolah Dasar

Latar belakang penelitian ini dengan adanya permasalahan siswa belum dapat menguasai kosakata bahasa indonesia sehingga siswa membutuhkan permainan anagram agar penguasaan bahasa indonesia lebih meningkat. Tujuan penelitian ini untuk mengevaluasi upaya meningkatkan penguasaan kosakata Bahasa Indonesia dengan menggunakan permainan anagram pada siswa kelas III SDI Wachid Hasyim Surabaya. Metode penelitian data yang dipakai peneliti diperoleh dari penelitian tindakan kelas yang dirancang dalam bentuk siklus berulang yaitu siklus I dan siklus II. Disetiap siklus yang terdiri dari 4 tahap, yaitu perencanaan, pelaksanaan tindakan, pengamatan dan refleksi. Subyek penelitian ini adalah siswa kelas III SDI wachid hasyim surabaya yang berjumlah 24 siswa. Hasil penelitian ini berdasarkan teknik pengumpulan data melalui observasi dan soal tes, sedangkan analisis data menggunakan statistik deskriptif. Kemudian data dikumpulkan sehingga mendapatkan hasil akhir yang kategori sangat tinggi. Simpulan secara umum, penelitian yang dilakukan untuk menganalisis data upaya meningkatkan penguasaan kosakata siswa dengan menggunakan permainan anagram pada siklus I memperoleh data 4,17% siklus II memperoleh data 83,33% kemudian data dikumpulkan sehingga mendapatkan hasil akhir yang kategori sangat tinggi
Estimation of Daily Potential Evapotranspiration in Real-Time from GK2A/AMI Data Using Artificial Neural Network for the Korean Peninsula

Evapotranspiration (ET) is a fundamental factor in energy and hydrologic cycles. Although highly precise in-situ ET monitoring is possible, such data are not always available due to the high spatiotemporal variability in ET. This study estimates daily potential ET (PET) in real-time for the Korean Peninsula, via an artificial neural network (ANN), using data from the GEO-KOMPSAT 2A satellite, which is equipped with an Advanced Meteorological Imager (GK2A/AMI). We also used passive microwave data, numerical weather prediction (NWP) model data, and static data. The ANN-based PET model was trained using data for the period 25 July 2019 to 24 July 2020, and was tested by comparing with in-situ PET for the period 25 July 2020 to 31 July 2021. In terms of accuracy, the PET model performed well, with root-mean-square error (RMSE), bias, and Pearson’s correlation coefficient (R) of 0.649 mm day−1, −0.134 mm day−1, and 0.954, respectively. To examine the efficiency of the GK2A/AMI-derived PET data, we compared it with in-situ ET measured at flux towers and with MODIS PET data. The accuracy of the GK2A/AMI-derived PET, in comparison with the flux tower-measured ET, showed RMSE, bias, and Pearson’s R of 1.730 mm day−1, 1.212 mm day−1, and 0.809, respectively. In comparison with the in-situ PET, the ANN model produced more accurate estimates than the MODIS data, indicating that it is more locally optimized for the Korean Peninsula than MODIS. This study advances the field by applying an ANN approach using GK2A/AMI data and could play an important role in examining hydrologic energy for air-land interactions.
Pengaruh CAR, FDR, Dan BOPO Terhadap ROA Pada Bank Syariah Di Indonesia

Banking companies, including Islamic banking, need to avoid problems that can cause financial failure, which can make the bank unable to carry out its business operations and may end up in bankruptcy, so that the level of soundness of the bank based on risk must always be monitored. Therefore, banks must maintain their financial ratios in accordance with Bank Indonesia decisions and maintain their performance. So analyzing the effect of the Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR), and the Ratio of Operating Costs to Operating Income (BOPO) on Return On Assets (ROA) in Islamic Banks is considered very important. This study aims to analyze the effect of Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR), and Operational Costs on Operating Income (BOPO) on Return On Assets (ROA) at Islamic Commercial Banks in Indonesia. This research includes quantitative research and the type of data used is secondary data. The data used in this study is the ratio of CAR, FDR, BOPO, and ROA for the period 2014–2019 which was obtained from the annual Financial Statements on the official website of each bank. The population in this study were 14 Islamic Commercial Banks in Indonesia. After passing the purposive sampling stage, there were 6 samples of Sharia Commercial Banks that were suitable for use, namely BCA Syariah, BNI Syariah, Bank Mega Syariah, Bank Muamalat Indonesia, Bank Panin Dubai Syariah and BRI Syariah. The analytical method used in this research is Multiple Linear Regression Analysis. The results of the partial study with the t-test showed that the CAR and FDR variables had a positive and significant effect on the ROA of Islamic commercial banks. While the BOPO variable has a negative and significant effect on the ROA of Islamic commercial banks. And the results of the f test show that the CAR, FDR, and BOPO variables together have a significant influence on the ROA of Islamic commercial banks. The predictive ability of these three variables on ROA is 82.7%, the remaining 17.3% is explained by other variables outside of this research. Keywords: Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR), Operating Expenses per Operating Income (BOPO), Return On Assets (ROA)
A rule-based semi-automatic method to map burned areas in Mediterranean using Landsat images – revisited and improved

ABSTRACT At local or regional scales, where Landsat has been extensively applied to monitor burned areas, semi- or fully automated methods are not very common. Koutsias et al. ([2013]. “A Rule-Based Semi-Automatic Method to map Burned Areas: Exploring the USGS Historical Landsat Archives to Reconstruct Recent Fire History.” International Journal of Remote Sensing 34 (20): 7049–7068) developed a semi-automatic method to map burned areas consisted of a set of rules that are valid especially when the post-fire image has been captured shortly after the fire. However, the rule-based approach is not free of errors that eventually create limitations to adopt this method for reconstructing the fire history in a fully automated mode. In this work, we improved the method by revisited and improving the rules that have been developed in the first paper, especially for reducing the omission errors. Minor changes have been made to almost all rules; however, one of the rules has been revised and changed the most as compared to the others by also considering the short-wave infrared channel TM5 (in Landsat-5 or Landsat-7). In this case, the algorithm could successfully capture the fire scar in dry vegetated areas as well. Due to the lack of reference data collected in the field, we used reference data collected by photo interpretation, and the accuracy assessment showed that these had a high agreement with the burned land mapping results.
EVALUATION OF SELF-MEDICATION PRACTICE IN SECOND YEAR UNDERGRADUATE STUDENTS AT A MEDICAL COLLEGE IN SOUTH GUJARAT

Objectives: Self-medication is the use of medicines by owns self without proper consultation. The practice of self-medication has increased, especially in medical students. Hence, this study was carried out to evaluate the self-medication practices among 2nd year undergraduate students of our institute. Methods: This was a cross-sectional and observational study conducted among the 2nd year MBBS students for 1 month. The study comprised a pre-approved and pre-validated questionnaire in English consisting of two sections: Section 1 included questions regarding demographic details of the students and whether they practiced self-medication in the past 1 year. If they responded with a yes, they were asked to fill Section 2 which had questions about the details of their self-medication practice. The questionnaire was administered by the faculty of the pharmacology department after taking written informed consent. Only completely filled questionnaires were evaluated. The results were expressed using mean and percentages. Results: 139 questionnaires were analyzed. About 80.58% students practiced self-medication. Female students (87.18%) were self-medicating more than male students (72.13%). Majority of the students who practiced self-medication obtained the medicine from the pharmacy (78.57%) and used it for 7 or fewer days. Analgesics (90.18%) were the most common group of drugs used followed by antipyretics. The most common indication was pain or headache (87.50%). Minor illness (73.21%) was the most common reason for self-medication. Conclusion: The practice of self-medication was quite high in the 2nd year MBBS students of our institute. They lack awareness regarding the safe and rational use of medicines.
Dynamic event-triggered mechanism-based output consensus of nonlinear multi-agent systems via improved dynamic surface control approach

A triggered communication mechanism-based adaptive control strategy is proposed for output consensus of a class of uncertain nonlinear multi-agent systems. A distributed estimator is constructed via intermittent communication with their own neighbours. This estimator provides desired trajectory for parts of followers who are not able to access to leader's information directly. Recursive sliding-modes and nonlinear gain functions are applied for performance improvement of traditional dynamic surface control approaches. Also, an adaptive parameter is introduced for neural networks' weights, and it is for simplification of computational complexity in our control strategy. In theory, it is proven that all signals in the multi-agent system are ultimately bounded, that consensus tracking errors converge to a neighbourhood around the origin, and that there exists Zeno-free behaviour. Three simulation examples validate the effectiveness of the proposed strategy.
Size scaling in collective cell growth.

Size is a fundamental feature of living entities and is intimately tied to their function. Scaling laws, which can be traced to D'Arcy Thompson and Julian Huxley, have emerged as a powerful tool for studying regulation of the growth dynamics of organisms and their constituent parts. Yet throughout the 20th century, as scaling laws were established for single cells, quantitative studies of the coordinated growth of multicellular structures have lagged, largely due to technical challenges associated with imaging and image processing. Here, we present a supervised learning approach for quantifying the growth dynamics of germline cysts during oogenesis. Our analysis uncovers growth patterns induced by the groupwise developmental dynamics among connected cells, and differential growth rates of their organelles. We also identify inter-organelle volumetric scaling laws, finding that nurse cell growth is linear over several orders of magnitude. Our approach leverages the ever increasing quantity and quality of imaging data, and is readily amenable for studies of collective cell growth in other developmental contexts, including early mammalian embryogenesis and germline development.
Pleasant Stroke Touch on Human Back by a Human and a Robot

Pleasant touching is an important aspect of social interactions that is widely used as a caregiving technique. To address the problems resulting from a lack of available human caregivers, previous research has attempted to develop robots that can perform this kind of pleasant touch. However, it remains unclear whether robots can provide such a pleasant touch in a manner similar to humans. To investigate this issue, we compared the effect of the speed of gentle strokes on the back between human and robot agents on the emotional responses of human participants (n = 28). A robot or a human stroked on the participants’ back at two different speeds (i.e., 2.6 and 8.5 cm/s). The participants’ subjective (valence and arousal ratings) and physiological (facial electromyography (EMG) recorded from the corrugator supercilii and zygomatic major muscles and skin conductance response) emotional reactions were measured. The subjective ratings demonstrated that the speed of 8.5 cm/s was more pleasant and arousing than the speed of 2.6 cm/s for both human and robot strokes. The corrugator supercilii EMG showed that the speed of 8.5 cm/s resulted in reduced activity in response to both human and robot strokes. These results demonstrate similar speed-dependent modulations of stroke on subjective and physiological positive emotional responses across human and robot agents and suggest that robots can provide a pleasant touch similar to that of humans.
Caveolin-1 is a prognostic marker and suppresses the proliferation of breast cancer

Background To explore the role of caveolin-1 (Cav-1) in breast cancer (BC). Methods Cav-1 expression data were downloaded from the Tumor Immune Estimation Resource (TIMER) and Gene Expression Omnibus (GEO) databases. We compared the expression of Cav-1 in different tumor tissues and between BC tissues and normal tissues (NTs), as well as the differences between different clinical traits. Kaplan-Meier survival analysis and univariate and multivariate Cox regression analyses were used to determine whether Cav-1 serves as a prognostic factor. The correlations of Cav-1 expression with the immune microenvironment and infiltrating immune cells were also analyzed. Quantitative polymerase chain reaction (qPCR) was used to detect Cav-1 mRNA expression in the MCF-7, SKB-R3, MDB-MB-231, and SUM-159 cell lines. LV-Cav-1-RNAi was transfected into MCF-7 and MDB-MB-231 cells, and the MTT assay was used to detect cell proliferation. Subsequently, MDB-MB-231 cells carrying the Cav-1-RNAi gene were used to determine the effects of Cav-1 knockdown on tumor growth in vivo using a severe combined immunodeficiency (SCID) model. Results Cav-1 was enriched in most solid tumors, and its expression was lower in BC tissues than in NT. Cav-1 expression was shown to be related to patients’ clinical outcomes. Cav-1 was expressed in the MCF-7, SKB-R3, MDB-MB-231, and SUM-159 cell lines. The MTT assay revealed that the proliferative ability of MDB-MB-231 and MCF-7 cells was accelerated. The tumor volume of SCID mice administered with LV-Cav-1-RNAi cells was increased. Conclusions These results suggest that Cav-1 may serve as a suppressor in the development of BC.
Konteks Pencak Silat pada Soal Matematika Tipe PISA

Tujuan dari penelitian ini yaitu untuk menghasilkan soal matematika tipe PISA yang valid dan praktis, serta memiliki efek potensial terhadap kemampuan literasi matematis dengan menggunakan Konteks Pencak Silat. Subjek penelitian adalah siswa kelas X SMA. Metodologi pada penelitian ini yaitu design research dengan tipe development study, dengan 2 tahap yaitu preliminary dan tahap formative evaluation. Pada tahap formative evaluation meliputi one-to-one, expert review, small group, dan field test. Teknik pengumpulan data yang digunakan adalah observasi, walkthrough, dokumen, wawancara, dan tes. Penelitian yang dilakukan menghasilkan soal yang valid dan praktis serta memiliki efek potensial terhadap kemampuan literasi matematis. Valid terlihat dari hasil penilaian expert yang mereview dari segi konten, konstruk, dan bahasa serta pengerjaan siswa pada tahap one-to-one. Praktis terlihat dari pengerjaan siswa tahap small group yang siswa dapat memahami maksud atau bahasa soal. Kemudian dari jawaban siswa pada tahap field test soal memiliki efek potensial yaitu memunculkan kemampuan representasi dan kemampuan menggunakan bahasa dan operasi simbolis, formal dan teknis
Biofortification of Sweetcorn with Iodine: Interaction of Organic and Inorganic Forms of Iodine Combined with Vanadium

Around the world, maize cultivation is an essential part of food systems for humans and animals. Effective reactions against the occurrence of diseases related to the deficiency of elements in the human diet are related to the biofortification of plant species of broad importance, including maize. The enrichment of maize with iodine is difficult due to the poor transport of this element to the plant’s generative organs. In marine algae, vanadium is part of the structure of the enzyme iodine-dependent peroxidase (vHIPO) that catalyzes the uptake of cellular iodine (I) and its volatilization as I2. The relationship between iodine and vanadium in higher plants, however, is not well-known. The aim of this research was to determine the effect of vanadium fertilization and the interactions of organic and inorganic iodine compounds with vanadium under soil application. In the pot experiment, NH4VO3 was applied to the soil in two doses of 0.1 and 1 μmol·dm−3 both separately and in combination, with the following iodine compounds: 5-iodosalicylic acid (5-ISA), 2-iodobenzoic acid (2-IBeA), potassium iodide (KI), and potassium iodate (KIO3). The iodine compounds were also applied independently to vanadium, while in the control combination, fertilization was performed without I and V. Iodine compounds were applied with doses calculated using the molar mass of this element (i.e., 10 μmol·dm−3 I). The highest level of iodine accumulation in grains (regardless of fertilization with V) was obtained after the application of organic compounds 5ISA and 2IBeA. A lower dose of vanadium (0.1 μmol·dm−3) in combination with KI and KIO3 increased the accumulation of iodine in leaves, roots, and grains compared to the combination without the additional application of vanadium. The combined application of vanadium in both doses with 2-IBeA most effectively stimulated the transport and accumulation of iodine to the maize grain. Under the combined application of 5-ISA and vanadium (10 μmol·dm−3), we observed the stimulating effect of this organic iodine compound on the accumulation of vanadium in the roots as well as the antagonistic effect of vanadium in combination with 5-ISA on the accumulation of iodine in the roots, leaves, and maize grain. Vanadium accumulated mainly in the roots, where the content of this element increased proportionally to its dose. The soil application of 5-ISA increased the total sugar content and vitamin C content in the grain.