2,710 results on '"Subedi, P"'
Search Results
2. An Optimized H5 Hysteresis Current Control with Clamped Diodes in Transformer-less Grid-PV Inverter
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Phuyal, Sushil, Shrestha, Shashwot, Sharma, Swodesh, and Subedi, Rachana
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Electrical Engineering and Systems Science - Systems and Control - Abstract
With the rise of renewable energy penetration in the grid, photovoltaic (PV) panels are connected to the grid via inverters to supply solar energy. Transformer-less grid-tied PV inverters are gaining popularity because of their improved efficiency, reduced size, and lower costs. However, they can induce a path for leakage currents between the PV and the grid part due to the absence of galvanic isolation between them. This leads to serious electromagnetic interference, loss in efficiency and safety concerns. The leakage current is primarily influenced by the nature of the common mode voltage (CMV), which is determined by the switching techniques of the inverter. In this paper, a novel inverter topology of Hysteresis Controlled H5 with Two Clamping Diodes (HCH5-D2) has been derived. The HCH5-D2 topology helps to decouple the AC part (Grid) and DC part (PV) during the freewheeling to make the CMV constant and in turn, reduces the leakage current. Also, the additional diodes help to reduce the voltage spikes generated during the freewheeling period and maintain the CMV at a constant value. Finally, a 2.2kW grid-connected single-phase HCH5-D2 PV inverter system's MATLAB simulation has been presented with better results when compared with a traditional H4 inverter.
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- 2024
3. High-contrast imager for complex aperture telescopes (HiCAT): 8. Dark zone demonstration with simultaneous closed-loop low-order wavefront sensing and control
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Soummer, Rémi, Por, Emiel H., Pourcelot, Raphaël, Redmond, Susan, Laginja, Iva, Will, Scott D., Perrin, Marshall D., Pueyo, Laurent, Sahoo, Ananya, Petrone, Peter, Brooks, Keira J., Fox, Rachel, Klein, Alex, Nickson, Bryony, Comeau, Thomas, Ferrari, Marc, Gontrum, Rob, Hagopian, John, Leboulleux, Lucie, Leongomez, Dan, Lugten, Joe, Mugnier, Laurent M., N'Diaye, Mamadou, Nguyen, Meiji, Noss, James, Sauvage, Jean-François, Scott, Nathan, Sivaramakrishnan, Anand, Subedi, Hari B., and Weinstock, Sam
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Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
We present recent laboratory results demonstrating high-contrast coronagraphy for the future space-based large IR/Optical/Ultraviolet telescope recommended by the Decadal Survey. The High-contrast Imager for Complex Aperture Telescopes (HiCAT) testbed aims to implement a system-level hardware demonstration for segmented aperture coronagraphs with wavefront control. The telescope hardware simulator employs a segmented deformable mirror with 37 hexagonal segments that can be controlled in piston, tip, and tilt. In addition, two continuous deformable mirrors are used for high-order wavefront sensing and control. The low-order sensing subsystem includes a dedicated tip-tilt stage, a coronagraphic target acquisition camera, and a Zernike wavefront sensor that is used to measure and correct low-order aberration drifts. We explore the performance of a segmented aperture coronagraph both in static operations (limited by natural drifts and instabilities) and in dynamic operations (in the presence of artificial wavefront drifts added to the deformable mirrors), and discuss the estimation and control strategies used to reach and maintain the dark-zone contrast using our low-order wavefront sensing and control. We summarize experimental results that quantify the performance of the testbed in terms of contrast, inner/outer working angle and bandpass, and analyze limiting factors., Comment: 17 pages, 14 figures, SPIE Astronomical Telescopes + Instrumentation, 2022, Montr\'eal, Qu\'ebec, Canada
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- 2024
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4. Performance of PIP-II High-beta 650 Cryomodule After Transatlantic Shipping
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Ozelis, J., Barba, M., Bernardini, J., Contreras-Martinez, C., Crawford, D., Dong, J., Grzelak, V., Hanlet, P., Holzbauer, J., Jia, Y., Kazakov, S., Khabiboulline, T., Makara, J., Patel, N., Patel, V., Pei, L., Peterson, D., Pischalnikov, Y., Porwisiak, D., Ranpariya, S., Steimel, J., Solyak, N., Subedi, J., Sukhanov, A., Varghese, P., Wallace, T., White, M., Wijethunga, S., Xie, Y., and Yoon, S.
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Physics - Accelerator Physics - Abstract
After shipment to the Daresbury Lab and return to Fermilab, the prototype HB650 cryomodule underwent another phase of 2K RF testing to ascertain any performance issues that may have arisen from the transport of the cryomodule. While measurements taken at room temperature after the conclusion of shipment indicated that there were no negative impacts on cavity alignment, beamline vacuum, or cavity frequency, testing at 2K was required to validate other aspects such as tuner operation, cavity coupling, cryogenic system integrity, and cavity performance. Results of this latest round of limited 2K testing will be presented., Comment: 32nd Linear Accelerator Conference (LINAC 2024)
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- 2024
5. Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model
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Subedi, Aliza, Regmi, Smriti, Regmi, Nisha, Bhusal, Bhumi, Bagci, Ulas, and Jha, Debesh
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Gastrointestinal cancer is a leading cause of cancer-related incidence and death, making it crucial to develop novel computer-aided diagnosis systems for early detection and enhanced treatment. Traditional approaches rely on the expertise of gastroenterologists to identify diseases; however, this process is subjective, and interpretation can vary even among expert clinicians. Considering recent advancements in classifying gastrointestinal anomalies and landmarks in endoscopic and video capsule endoscopy images, this study proposes a hybrid model that combines the advantages of Transformers and Convolutional Neural Networks (CNNs) to enhance classification performance. Our model utilizes DenseNet201 as a CNN branch to extract local features and integrates a Swin Transformer branch for global feature understanding, combining both to perform the classification task. For the GastroVision dataset, our proposed model demonstrates excellent performance with Precision, Recall, F1 score, Accuracy, and Matthews Correlation Coefficient (MCC) of 0.8320, 0.8386, 0.8324, 0.8386, and 0.8191, respectively, showcasing its robustness against class imbalance and surpassing other CNNs as well as the Swin Transformer model. Similarly, for the Kvasir-Capsule, a large video capsule endoscopy dataset, our model outperforms all others, achieving overall Precision, Recall, F1 score, Accuracy, and MCC of 0.7007, 0.7239, 0.6900, 0.7239, and 0.3871. Moreover, we generated saliency maps to explain our model's focus areas, demonstrating its reliable decision-making process. The results underscore the potential of our hybrid CNN-Transformer model in aiding the early and accurate detection of gastrointestinal (GI) anomalies.
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- 2024
6. Error Bounds for Learning Fourier Linear Operators
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Subedi, Unique and Tewari, Ambuj
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Statistics - Machine Learning ,Computer Science - Machine Learning ,Mathematics - Numerical Analysis - Abstract
We investigate the problem of learning operators between function spaces, focusing on the linear layer of the Fourier Neural Operator. First, we identify three main errors that occur during the learning process: statistical error due to finite sample size, truncation error from finite rank approximation of the operator, and discretization error from handling functional data on a finite grid of domain points. Finally, we analyze a Discrete Fourier Transform (DFT) based least squares estimator, establishing both upper and lower bounds on the aforementioned errors., Comment: 30 pages
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- 2024
7. The surface termination of a Fe (III) spin crossover molecular salt
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Zaz, M. Zaid, Tamang, Binny, McElven, Kayleigh, Mishra, Esha, Viswan, Gauthami, Chin, Wai Kiat, Subedi, Arjun, Daiye, Alpha T. Ń, Lai, Rebecca, and Dowben, Peter A.
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Condensed Matter - Materials Science - Abstract
From a comparison of energy dispersive analyses of X-rays (EDAX), the known molecular stoichiometry and X-ray photoemission spectroscopy (XPS), it is evident that the Fe(III) spin crossover salt [Fe(qsal)2Ni(dmit)2] has a preferential surface termination with the Ni(dmit)2 moiety. This preferential surface termination leads to a significant surface to bulk core level shift for the Ni 2p X-ray photoemission core level, not seen in the corresponding Fe 2p core level spectra. Inverse photoemission spectroscopy (IPES), thus provides some indication of the density of states resulting from the dmit2 = 1,3-dithiol-2-thione-4,5-dithiolato ligand unoccupied molecular orbitals., Comment: 5 pages, 4 figures, submitted for publication in JPCM
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- 2024
8. Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation
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Chen, Hanqiu, Yao, Xuebin, Subedi, Pradeep, and Hao, Cong
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Distributed, Parallel, and Cluster Computing ,Computer Science - Information Theory - Abstract
Edge computing is a distributed computing paradigm that collects and processes data at or near the source of data generation. The on-device learning at edge relies on device-to-device wireless communication to facilitate real-time data sharing and collaborative decision-making among multiple devices. This significantly improves the adaptability of the edge computing system to the changing environments. However, as the scale of the edge computing system is getting larger, communication among devices is becoming the bottleneck because of the limited bandwidth of wireless communication leads to large data transfer latency. To reduce the amount of device-to-device data transmission and accelerate on-device learning, in this paper, we propose Residual-INR, a fog computing-based communication-efficient on-device learning framework by utilizing implicit neural representation (INR) to compress images/videos into neural network weights. Residual-INR enhances data transfer efficiency by collecting JPEG images from edge devices, compressing them into INR format at the fog node, and redistributing them for on-device learning. By using a smaller INR for full image encoding and a separate object INR for high-quality object region reconstruction through residual encoding, our technique can reduce the encoding redundancy while maintaining the object quality. Residual-INR is a promising solution for edge on-device learning because it reduces data transmission by up to 5.16 x across a network of 10 edge devices. It also facilitates CPU-free accelerated on-device learning, achieving up to 2.9 x speedup without sacrificing accuracy. Our code is available at: https://github.com/sharclab/Residual-INR., Comment: This paper has been accepted by ICCAD 2024
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- 2024
9. ICGMM: CXL-enabled Memory Expansion with Intelligent Caching Using Gaussian Mixture Model
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Chen, Hanqiu, Wang, Yitu, Cargnini, Luis Vitorio, Soltaniyeh, Mohammadreza, Li, Dongyang, Sun, Gongjin, Subedi, Pradeep, Chang, Andrew, Chen, Yiran, and Hao, Cong
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Computer Science - Hardware Architecture ,Computer Science - Emerging Technologies ,Electrical Engineering and Systems Science - Systems and Control - Abstract
Compute Express Link (CXL) emerges as a solution for wide gap between computational speed and data communication rates among host and multiple devices. It fosters a unified and coherent memory space between host and CXL storage devices such as such as Solid-state drive (SSD) for memory expansion, with a corresponding DRAM implemented as the device cache. However, this introduces challenges such as substantial cache miss penalties, sub-optimal caching due to data access granularity mismatch between the DRAM "cache" and SSD "memory", and inefficient hardware cache management. To address these issues, we propose a novel solution, named ICGMM, which optimizes caching and eviction directly on hardware, employing a Gaussian Mixture Model (GMM)-based approach. We prototype our solution on an FPGA board, which demonstrates a noteworthy improvement compared to the classic Least Recently Used (LRU) cache strategy. We observe a decrease in the cache miss rate ranging from 0.32% to 6.14%, leading to a substantial 16.23% to 39.14% reduction in the average SSD access latency. Furthermore, when compared to the state-of-the-art Long Short-Term Memory (LSTM)-based cache policies, our GMM algorithm on FPGA showcases an impressive latency reduction of over 10,000 times. Remarkably, this is achieved while demanding much fewer hardware resources., Comment: This paper is accepted by DAC2024
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- 2024
10. Pedestrian Safety and Traffic Operations Around Near-Side Versus Far-Side Transit Stops: Emerging Observational Evidence from Utah
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Mandolakani, Fariba Soltani, Subedi, Atul, Singleton, Patrick A., and Mekker, Michelle
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Physics - Physics and Society - Abstract
This research project's objective was to investigate the impacts of transit stop location (near-side versus far-side) on pedestrian safety and traffic operations. Three different video-based behavioral observation data collections at signalized intersections in Utah were utilized, studying: (1) transit vehicle stop events and transit rider crossing behaviors and vehicle conflicts; (2) pedestrian conflicts with right-turning vehicles (driver/pedestrian reactions, conflict severity); and (3) pedestrian crossing behaviors (crossing location, crossing behaviors). These outcomes were statistically compared for near-side versus far-side transit stop locations. Far-side transit stops appear better for general traffic operations. Although transit departure delays are more likely and impactful at far-side stops, actions can be taken to improve transit operations there. On the other hand, far-side transit stops appear to be worse for pedestrian safety, corroborating prior crash-based research findings. Specifically, conflicts at far-side stops were more severe, and drivers were less likely to slow or stop for pedestrians. Reconciling these differing findings likely requires improving pedestrian safety at some far-side transit stops, and prioritizing safety over operational efficiency at other near-side transit stops.
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- 2024
11. Mapping the Landscape of Data Collection: A Reflection on the Dynamics of Fieldwork in Qualitative Research
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Khim Raj Subedi
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This study explores the complexities of qualitative fieldwork and unpacks the fieldwork dynamics drawing on critical reflections based on the experiences of interviewing primary level teachers in exploring their identities. I argue that qualitative fieldwork is not a one-shot, linear activity but a negotiated and relational task requiring a flexible and context-specific plan. This study identifies challenges associated with the fieldwork relating to establishing and sustaining a good relationship and reciprocity between the researcher and the participants, unequal power dynamics between the researcher and the participants, participants' familiarity with and habitual response to the survey questionnaires, narrow understanding of confidentiality and anonymity as ethical considerations, unmatched gender between the researcher and the participants, and through and detailed capture of micro field jottings and writing the fieldnotes. I suggest initiating fieldwork with sufficient informal conversation and establishing a rapport to gain the participants' trust, positioning oneself as an insider to acquire valuable and meaningful data.
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- 2024
12. Prevalence of intestinal parasites in humans and domestic animals in Jirel community, Dolakha, Nepal
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Dhakal, Pitambar, Dhakal, Medhavi, Dhakal, Dipa, Shakya, Pramita, Singh, Barsha, Gupta Kalwar, Rabina, Shahi, Rekha, Pandey, Sophiya, Niraula, Darwin, Karki, Anita, Mahato, Mukesh Kumar, Tamang, Semsal, Chhetri, Basanti, Thapa, Muna, Parajuli, Rameshwor, Subedi, Janak Raj, Pandey, Kishor, Maharjan, Mahendra, and Parajuli, Rajendra Prasad
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Health Services and Systems ,Biomedical and Clinical Sciences ,Clinical Sciences ,Health Sciences ,Infectious Diseases ,Foodborne Illness ,Prevention ,Digestive Diseases ,2.2 Factors relating to the physical environment ,Infection ,Clinical sciences ,Health services and systems - Abstract
ABSTRACT : Introduction:: Gastrointestinal (GI) parasites are major health concerns in both humans and domestic animals. Livestock farming is one of the common livelihood practices in rural Nepal. The proximity at human and domestic animal interface increases the chances of dissemination of enteric parasites, especially those of zoonotic importance. This study was aimed at finding the parasite prevalence and risk factors in both humans and their domestic animals in Jirel community. Materials and Methods:: A field survey was conducted on the Jirel ethnic people and their domestic animals in Dolakha district, where a total of 152 fresh fecal samples from humans and domestic animals (cow, pigs, goats, chickens, ducks, and pigeons) were collected. The feces were examined by wet mounts and concentration techniques. A structured questionnaire survey was carried out among the local people and owners of the domestic animals to gather sociodemographic information, awareness, and hygienic practices in relation to parasite transmission Results:: The enteric parasite prevalence was found to be highest in goats (80.0%;12/15), followed by pigs (55.55%;5/9), cows (45.45%;6/11), chickens (11.7%;4/34), and humans (1.41%;1/71), while the fecal samples of ducks and pigeons did not contain any parasites. The only parasite identified in humans was Ascaris lumbricoides. Similarly, three genera of GI parasites (Eimeria sp., Strongyloides sp, and Trichuris sp.) from goats, two genera each from cow (Eimeria sp. and Strongyloides sp.), pigs (Entamoeba sp. and A. suum), and chickens (Eimeria sp. and Ascaridia galli), were detected Conclusions:: Based on the direct field observation, questionnaire survey and laboratory analysis, it is concluded that the Jirel community people are aware of health and hygiene; however, intervention measures are necessary to prevent parasitic infection in their domestic animals.
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- 2024
13. Phonon hydrodynamic regimes in sapphire
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Kawabata, Takuya, Shimura, Kosuke, Ishii, Yuto, Koike, Minatsu, Yoshida, Kentaro, Yonehara, Shu, Yokoi, Kohei, Subedi, Alaska, Behnia, Kamran, and Machida, Yo
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Condensed Matter - Materials Science - Abstract
When an ideal insulator is cooled, four regimes of thermal conductivity are expected to emerge one after another. Two of these, the Ziman and the Poiseuille, are hydrodynamic regimes in which collision among phonons are mostly Normal. It has been difficult to observe them, save for a few insulators with high levels of isotopic and chemical purity. Our thermal transport measurements, covering four decades of temperatures between 0.1 K and 900 K, reveal that sapphire displays all four regimes, despite its isotopic impurity. In the Ziman regime, the thermal conductivity exponentially increases attaining an amplitude as large as 35,000 W/Km. We show that the peak thermal conductivity of ultra-pure, simple insulators, including diamond, silicon and solid helium, is set by a universal scaling depending on isotropic purity. The thermal conductivity of sapphire is an order of magnitude higher than what is expected by this scaling. We argue that this may be caused by the proximity of optical and acoustic phonon modes, as a consequence of the large number of atoms in the primitive cell.
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- 2024
14. First detection of coherent elastic neutrino-nucleus scattering on germanium
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Adamski, S., Ahn, M., Barbeau, P. S., Belov, V., Bernardi, I., Bock, C., Bolozdynya, A., Bouabid, R., Browning, J., Cabrera-Palmer, B., Cedarblade-Jones, N., Rivera, J. Colón, Conley, E., da Silva, V., Daughhetee, J., Detwiler, J., Ding, K., Durand, M. R., Efremenko, Y., Elliott, S. R., Erlandson, A., Fabris, L., Galindo-Uribarri, A., Green, M. P., Hakenmüller, J., Heath, M. R., Hedges, S., Jeong, H., Johnson, B. A., Johnson, T., Jones, H., Khromov, A., Konovalov, A., Kozlova, E., Kumpan, A., Kyzylova, O., Lee, Y., Li, G., Li, L., Link, J. M., Liu, J., Luxnat, M., Major, A., Mann, K., Markoff, D. M., Mattingly, J., Moye, J., Mueller, P. E., Newby, J., Ogoi, N., O'Reilly, J., Parno, D. S., Pérez-Loureiro, D., Pershey, D., Prior, C. G., Queen, J., Rapp, R., Ray, H., Razuvaeva, O., Reyna, D., Rich, G. C., Rudik, D., Runge, J., Salvat, D. J., Sander, J., Scholberg, K., Shakirov, A., Simakov, G., Snow, W. M., Sosnovtsev, V., Stringer, M., Subedi, T., Suh, B., Sur, B., Tayloe, R., Tellez-Giron-Flores, K., Tsai, Y. -T., van Nieuwenhuizen, E. E., Virtue, C. J., Visser, G., Walkup, K., Ward, E. M., Wongjirad, T., Yang, Y., Yoo, J., Yu, C. -H., and Zaalishvili, A.
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High Energy Physics - Experiment - Abstract
We report the first detection of coherent elastic neutrino-nucleus scattering (CEvNS) on germanium, measured at the Spallation Neutron Source at Oak Ridge National Laboratory. The Ge-Mini detector of the COHERENT collaboration employs large-mass, low-noise, high-purity germanium spectrometers, enabling excellent energy resolution, and an analysis threshold of 1.5 keV electron-equivalent ionization energy. We observe a on-beam excess of 20.6$_{+7.1}^{-6.3}$ counts with a total exposure of 10.22 GWhkg and we reject the no-CEvNS hypothesis with 3.9 sigma significance. The result agrees with the predicted standard model of particle physics signal rate within 2 sigma., Comment: 7 pages, 5 figures
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- 2024
15. Smoothed Online Classification can be Harder than Batch Classification
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Raman, Vinod, Subedi, Unique, and Tewari, Ambuj
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Computer Science - Machine Learning - Abstract
We study online classification under smoothed adversaries. In this setting, at each time point, the adversary draws an example from a distribution that has a bounded density with respect to a fixed base measure, which is known apriori to the learner. For binary classification and scalar-valued regression, previous works \citep{haghtalab2020smoothed, block2022smoothed} have shown that smoothed online learning is as easy as learning in the iid batch setting under PAC model. However, we show that smoothed online classification can be harder than the iid batch classification when the label space is unbounded. In particular, we construct a hypothesis class that is learnable in the iid batch setting under the PAC model but is not learnable under the smoothed online model. Finally, we identify a condition that ensures that the PAC learnability of a hypothesis class is sufficient for its smoothed online learnability., Comment: 18 pages
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- 2024
16. Tabular Embedding Model (TEM): Finetuning Embedding Models For Tabular RAG Applications
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Khanna, Sujit and Subedi, Shishir
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Computer Science - Artificial Intelligence ,Computer Science - Computation and Language ,Computer Science - Information Retrieval - Abstract
In recent times Large Language Models have exhibited tremendous capabilities, especially in the areas of mathematics, code generation and general-purpose reasoning. However for specialized domains especially in applications that require parsing and analyzing large chunks of numeric or tabular data even state-of-the-art (SOTA) models struggle. In this paper, we introduce a new approach to solving domain-specific tabular data analysis tasks by presenting a unique RAG workflow that mitigates the scalability issues of existing tabular LLM solutions. Specifically, we present Tabular Embedding Model (TEM), a novel approach to fine-tune embedding models for tabular Retrieval-Augmentation Generation (RAG) applications. Embedding models form a crucial component in the RAG workflow and even current SOTA embedding models struggle as they are predominantly trained on textual datasets and thus underperform in scenarios involving complex tabular data. The evaluation results showcase that our approach not only outperforms current SOTA embedding models in this domain but also does so with a notably smaller and more efficient model structure., Comment: 11 pages, 5 figures
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- 2024
17. Near-critical dark opalescence in out-of-equilibrium SF$_6$
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Martelli, Valentina, Anquetil, Amaury, Atik, Lin Al, Jiménez, J. Larrea, Subedi, Alaska, Lobo, Ricardo P. S. M., and Behnia, Kamran
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Condensed Matter - Materials Science ,Condensed Matter - Statistical Mechanics - Abstract
The first-order phase transition between the liquid and gaseous phases ends at a critical point. Critical opalescence occurs at this singularity. Discovered in 1822, it is known to be driven by diverging fluctuations in the density. During the past two decades, boundaries between the gas-like and liquid-like regimes have been theoretically proposed and experimentally explored. Here, we show that fast cooling of near-critical sulfur hexafluoride (SF$_6$), in presence of Earth's gravity, favors dark opalescence, where visible photons are not merely scattered, but also absorbed. When the isochore fluid is quenched across the critical point, its optical transmittance drops by more than three orders of magnitude in the whole visible range, a feature which does not occur during slow cooling. We show that transmittance shows a dip at 2eV near the critical point, and the system can host excitons with binding energies ranging from 0.5 to 4 eV. The spinodal decomposition of the liquid-gas mixture, by inducing a periodical modulation of the fluid density, can provide a scenario to explain the emergence of this platform for coupling between light and matter. The possible formation of excitons and polaritons points to the irruption of quantum effects in a quintessentially classical context.
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- 2024
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18. Real-time Geoinformation Systems to Improve the Quality, Scalability, and Cost of Internet of Things for Agri-environment Research
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Runck, Bryan C., Schulz, Bobby, Bishop, Jeff, Carlson, Nathan, Chantigian, Bryan, Deters, Gary, Erdmann, Jesse, Ewing, Patrick M., Felzan, Michael, Fu, Xiao, Greyling, Jan, Hogan, Christopher J., Hollman, Andrew, Joglekar, Ali, Junker, Kris, Kantar, Michael, Kaunda, Lumbani, Krishna, Mohana, Lynch, Benjamin, Marchetto, Peter, Marsolek, Megan, McKay, Troy, Morris, Brad, Niaghi, Ali Rashid, Pamulaparthy, Keerthi, Pardey, Philip, Piotrowski, Ann, Poudyal, Christina, Prather, Tom, Raghavan, Barath, Reiter, Maggie, Rosen, Lucas, Salazar, Benjamin, Scobbie, Andrew, Sharma, Vasudha, Silverstein, Kevin A. T., Singh, Gurparteet, Strock, Jeff, Subedi, Samikshya, Tang, Evan, Turturillo, Gianna, Watkins, Eric, Webster, Blake, and Wilgenbusch, James
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Quantitative Biology - Quantitative Methods - Abstract
With the increasing emphasis on machine learning and artificial intelligence to drive knowledge discovery in the agricultural sciences, spatial internet of things (IoT) technologies have become increasingly important for collecting real-time, high resolution data for these models. However, managing large fleets of devices while maintaining high data quality remains an ongoing challenge as scientists iterate from prototype to mature end-to-end applications. Here, we provide a set of case studies using the framework of technology readiness levels for an open source spatial IoT system. The spatial IoT systems underwent 3 major and 14 minor system versions, had over 2,727 devices manufactured both in academic and commercial contexts, and are either in active or planned deployment across four continents. Our results show the evolution of a generalizable, open source spatial IoT system designed for agricultural scientists, and provide a model for academic researchers to overcome the challenges that exist in going from one-off prototypes to thousands of internet-connected devices., Comment: 20 pages, 5 figures, 1 table
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- 2024
19. The Complexity of Sequential Prediction in Dynamical Systems
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Raman, Vinod, Subedi, Unique, and Tewari, Ambuj
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
We study the problem of learning to predict the next state of a dynamical system when the underlying evolution function is unknown. Unlike previous work, we place no parametric assumptions on the dynamical system, and study the problem from a learning theory perspective. We define new combinatorial measures and dimensions and show that they quantify the optimal mistake and regret bounds in the realizable and agnostic setting respectively., Comment: 35 pages
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- 2024
20. Improving National and International Surveillance of Movement Behaviours in Childhood and Adolescence: An International Modified Delphi Study
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Reilly, John J., Andrew, Rachel, Abdeta, Chalchisa, Azevedo, Liane B., Farias, Nicolas Aguilar, Barak, Sharon, Bardid, Farid, Bizzozero-Peroni, Bruno, Brazo-Sayavera, Javier, Cagas, Jonathan Y., Chelly, Mohamed-Souhaiel, Christiansen, Lars B., Djordjic, Visnja D., Draper, Catherine E., El-Hamdouchi, Asmaa, Fares, Elie-Jacques, Gába, Aleš, Hesketh, Kylie D., Hossain, Mohammad Sorowar, Huang, Wendy, Jáuregui, Alejandra, Juvekar, Sanjay K., Kuzik, Nicholas, Larouche, Richard, Lee, Eun-Young, Levi, Sharon, Liu, Yang, Löf, Marie, Loney, Tom, Gil, Jose Francisco Lopez, Mäestu, Evelin, Manyanga, Taru, Martins, Clarice, Mendoza-Muñoz, Maria, Morrison, Shawnda A., Munambah, Nyaradzai, Mwase-Vuma, Tawonga W., Naidoo, Rowena, Ocansey, Reginald, Okely, Anthony D., Oluwayomi, Aoko, Paudel, Susan, Poh, Bee Koon, Ribeiro, Evelyn H., Silva, Diego Augusto Santos, Shahril, Mohd Razif, Smith, Melody, Staiano, Amanda E., Standage, Martyn, Subedi, Narayan, Tanaka, Chiaki, Tang, Hong K., Thivel, David, Tremblay, Mark S., Uzicanin, Edin, Vlachopoulos, Dimitris, Webster, E. Kipling, Widyastari, Dyah Anantalia, Zembura, Pawel, and Aubert, Salome
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- 2024
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21. “Can Perioperative Intravenous Lidocaine Decrease Postoperative Pain After Oral and Maxillofacial Surgeries?”: A Randomized Clinical Trial
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Mahato, Vivek Kumar, Dongol, Ashok, Acharya, Pradeep, Yadav, Anjani Kumar, Subedi, Asish, and Jaisani, Mehul R.
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- 2024
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22. Hydro-geochemistry and drinking water quality of the Sagarmatha National Park, Nepal
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Subedi, Ishan, Baniya, Simon, Pradhan, Suman Prakash, Subedi, Smritee, Nicholson, Kirsten N., Han, Bangshuai, and Sharma, Subodh
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- 2024
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23. Teacher Identity and Hierarchy: Narrative Inquiry of Primary Teachers in Nepal's Public Schools
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Subedi, Khim Raj
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The article explores how Nepalese public schools' traditional hierarchy-dominated educational culture shapes teachers' professional growth and sense of identity. Through the narrative inquiry approach, I explored teachers 'professional identity development using Gee's (2000) identity framework. The data revealed that hierarchy and power relations between the teachers and the social context fundamentally shaped teacher identity development. However, the study further showed that professional hierarchy was not uni-layered, the power was not one-directional, and the domination was not permanent but rather dynamic. Factors like academic qualifications, job status, technological skills, and social status made the hierarchy complex. More interestingly, hierarchical relationships did not always undermine teacher empowerment but confidence in some cases. For example, when a teacher in a marginalized position due to some factors such as poor health condition was viewed as a role model or capable of success despite challenges, they achieved high value from their colleagues.
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- 2023
24. An Extension of Semicommutative Rings via Reflexivity
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Subba, Sanjiv and Subedi, Tikaram
- Subjects
Mathematics - Rings and Algebras ,16U80, 16S34, 16S36 - Abstract
This article introduces the notion of an NJ-reflexive ring and demonstrates that it is distinct from the concept of a reflexive ring. The class of NJ-reflexive rings contains the class of semicommutative rings, the class of left (right) quasi-duo rings, and the class of J-clean rings but is strictly larger than these classes. Additionally, the article investigates a sufficient condition for NJ-reflexive rings to be left (right) quasi-duo, as well as some conditions for NJ-reflexive rings to be reduced. It also explores extensions of NJ-reflexive rings and notes that the NJ-reflexive property may not carry over to polynomial extensions.
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- 2024
25. Physical origin of enhanced electrical conduction in aluminum-graphene composites
- Author
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Nepal, K., Ugwumadu, C., Subedi, K. N., Kappagantula, K., and Drabold, D. A.
- Subjects
Condensed Matter - Materials Science - Abstract
The electronic and transport properties of aluminum-graphene composite materials were investigated using ab initio plane wave density functional theory. The interfacial structure is reported for several configurations. In some cases, the face-centered aluminum (111) surface relaxes in a nearly ideal registry with graphene, resulting in a remarkably continuous interface structure. The Kubo-Greenwood formula and space-projected conductivity were employed to study electronic conduction in aluminum single- and double-layer graphene-aluminum composite models. The electronic density of states at the Fermi level is enhanced by the graphene for certain aluminum-graphene interfaces, thus, improving electronic conductivity. In double-layer graphene composites, conductivity varies non-monotonically with temperature, showing an increase between 300-400 K at short aluminum-graphene distances, unlike the consistent decrease in single-layer composites.
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- 2024
- Full Text
- View/download PDF
26. Accessing new physics with an undoped, cryogenic CsI CEvNS detector for COHERENT at the SNS
- Author
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Barbeau, P. S., Belov, V., Bernardi, I., Bock, C., Bolozdynya, A., Bouabid, R., Browning, J., Cabrera-Palmer, B., Conley, E., da Silva, V., Daughhetee, J., Detwiler, J., Ding, K., Durand, M. R., Efremenko, Y., Elliott, S. R., Erlandson, A., Fabris, L., Febbraro, M., Galindo-Uribarri, A., Green, M. P., Hakenmüller, J., Heath, M. R., Hedges, S., Johnson, B. A., Johnson, T., Khromov, A., Konovalov, A., Kozlova, E., Kumpan, A., Kyzylova, O., Link, J. M., Liu, J., Major, A., Mann, K., Markoff, D. M., Mattingly, J., Mueller, P. E., Newby, J., Ogoi, N., O'Reilly, J., Parno, D. S., Pérez-Loureiro, D., Penttila, S. I., Pershey, D., Prior, C. G., Queen, J., Rapp, R., Ray, H., Razuvaeva, O., Reyna, D., Rich, G. C., Rudik, D., Runge, J., Salvat, D. J., Sander, J., Scholberg, K., Shakirov, A., Simakov, G., Snow, W. M., Sosnovtsev, V., Stringer, M., Subedi, T., Suh, B., Sur, B., Tayloe, R., Tellez-Giron-Flores, K., Tsai, Y. -T., Vanderwerp, J., van Nieuwenhuizen, E. E., Varner, R. L., Virtue, C. J., Visser, G., Walkup, K., Ward, E. M., Wongjirad, T., Yang, Y., Yoo, J., Yu, C. -H., and Zaalishvili, A.
- Subjects
High Energy Physics - Experiment ,Physics - Instrumentation and Detectors - Abstract
We consider the potential for a 10-kg undoped cryogenic CsI detector operating at the Spallation Neutron Source to measure coherent elastic neutrino-nucleus scattering and its sensitivity to discover new physics beyond the standard model. Through a combination of increased event rate, lower threshold, and good timing resolution, such a detector would significantly improve on past measurements. We considered tests of several beyond-the-standard-model scenarios such as neutrino non-standard interactions and accelerator-produced dark matter. This detector's performance was also studied for relevant questions in nuclear physics and neutrino astronomy, namely the weak charge distribution of CsI nuclei and detection of neutrinos from a core-collapse supernova.
- Published
- 2023
27. Finite Mixtures of Multivariate Poisson-Log Normal Factor Analyzers for Clustering Count Data
- Author
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Payne, Andrea, Silva, Anjali, Rothstein, Steven J., McNicholas, Paul D., and Subedi, Sanjeena
- Subjects
Statistics - Methodology ,Statistics - Computation ,Statistics - Machine Learning ,62H30 - Abstract
A mixture of multivariate Poisson-log normal factor analyzers is introduced by imposing constraints on the covariance matrix, which resulted in flexible models for clustering purposes. In particular, a class of eight parsimonious mixture models based on the mixtures of factor analyzers model are introduced. Variational Gaussian approximation is used for parameter estimation, and information criteria are used for model selection. The proposed models are explored in the context of clustering discrete data arising from RNA sequencing studies. Using real and simulated data, the models are shown to give favourable clustering performance. The GitHub R package for this work is available at https://github.com/anjalisilva/mixMPLNFA and is released under the open-source MIT license., Comment: 29 pages, 2 figures
- Published
- 2023
28. ChartCheck: Explainable Fact-Checking over Real-World Chart Images
- Author
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Akhtar, Mubashara, Subedi, Nikesh, Gupta, Vivek, Tahmasebi, Sahar, Cocarascu, Oana, and Simperl, Elena
- Subjects
Computer Science - Computation and Language ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Whilst fact verification has attracted substantial interest in the natural language processing community, verifying misinforming statements against data visualizations such as charts has so far been overlooked. Charts are commonly used in the real-world to summarize and communicate key information, but they can also be easily misused to spread misinformation and promote certain agendas. In this paper, we introduce ChartCheck, a novel, large-scale dataset for explainable fact-checking against real-world charts, consisting of 1.7k charts and 10.5k human-written claims and explanations. We systematically evaluate ChartCheck using vision-language and chart-to-table models, and propose a baseline to the community. Finally, we study chart reasoning types and visual attributes that pose a challenge to these models
- Published
- 2023
29. Retrieval and Generative Approaches for a Pregnancy Chatbot in Nepali with Stemmed and Non-Stemmed Data : A Comparative Study
- Author
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Poudel, Sujan, Ghimire, Nabin, Subedi, Bipesh, and Singh, Saugat
- Subjects
Computer Science - Computation and Language ,Computer Science - Machine Learning - Abstract
The field of Natural Language Processing which involves the use of artificial intelligence to support human languages has seen tremendous growth due to its high-quality features. Its applications such as language translation, chatbots, virtual assistants, search autocomplete, and autocorrect are widely used in various domains including healthcare, advertising, customer service, and target advertising. To provide pregnancy-related information a health domain chatbot has been proposed and this work explores two different NLP-based approaches for developing the chatbot. The first approach is a multiclass classification-based retrieval approach using BERTbased multilingual BERT and multilingual DistilBERT while the other approach employs a transformer-based generative chatbot for pregnancy-related information. The performance of both stemmed and non-stemmed datasets in Nepali language has been analyzed for each approach. The experimented results indicate that BERT-based pre-trained models perform well on non-stemmed data whereas scratch transformer models have better performance on stemmed data. Among the models tested the DistilBERT model achieved the highest training and validation accuracy and testing accuracy of 0.9165 on the retrieval-based model architecture implementation on the non-stemmed dataset. Similarly, in the generative approach architecture implementation with transformer 1 gram BLEU and 2 gram BLEU scores of 0.3570 and 0.1413 respectively were achieved., Comment: 7 pages, 5 figures, 4 tables. In proceedings of the International Conference on Technologies for Computer, Electrical, Electronics & Communication (ICT-CEEL 2023), Bhaktapur, Nepal
- Published
- 2023
30. Thermoelectric transport properties of electron doped pyrite FeS2
- Author
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Mukherjee, Anustup and Subedi, Alaska
- Subjects
Condensed Matter - Materials Science - Abstract
Pyrite FeS$_2$ has been investigated for a wide range of applications, including thermoelectrics due to previous observation of large thermopower at room-temperature. However, the values of thermopower reported in the literature is extremely sensitive to the nature of sample -- whether they are natural or lab grown, bulk crystals or thin films -- and an ambiguity in the magnitude and sign of thermopower of pure FeS$_2$ exists. Variation in the magnitude of room-temperature thermopower has also been observed in Co-doped samples. Therefore, it is of interest to clarify the intrinsic thermopower of this system that could be measured in more pure samples. In this paper, we investigate the thermoelectric properties of Co-doped FeS$_2$ using first principles calculations. We apply three different doping schemes to understand the effect of electron doping in FeS$_2$, namely explicit Co-substitution, jellium doping and electron addition within rigid band approximation (RBA) picture. The calculated thermopower is less than $-50$ $\mu$V/K for all values of Co doping that we studied, suggesting that this system may not be useful in thermoelectric applications. Interestingly, we find that RBA substantially overestimates the magnitude of calculated thermopower compared to the explicit Co-substitution and jellium doping schemes. The overestimation occurs because the changes in the electronic structure due to doping-induced structural modification and charge screening is not taken into account by the rigid shift of the Fermi level within RBA. RBA is frequently used in first principles investigations of the thermopower of doped semiconductors, and Co-substituted FeS$_2$ illustrates a case where it fails., Comment: 9 pages, 6 figures, 2 tables
- Published
- 2023
- Full Text
- View/download PDF
31. Nepali Video Captioning using CNN-RNN Architecture
- Author
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Subedi, Bipesh, Singh, Saugat, and Bal, Bal Krishna
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Computation and Language ,Computer Science - Machine Learning ,I.2.7 ,I.2.10 - Abstract
This article presents a study on Nepali video captioning using deep neural networks. Through the integration of pre-trained CNNs and RNNs, the research focuses on generating precise and contextually relevant captions for Nepali videos. The approach involves dataset collection, data preprocessing, model implementation, and evaluation. By enriching the MSVD dataset with Nepali captions via Google Translate, the study trains various CNN-RNN architectures. The research explores the effectiveness of CNNs (e.g., EfficientNetB0, ResNet101, VGG16) paired with different RNN decoders like LSTM, GRU, and BiLSTM. Evaluation involves BLEU and METEOR metrics, with the best model being EfficientNetB0 + BiLSTM with 1024 hidden dimensions, achieving a BLEU-4 score of 17 and METEOR score of 46. The article also outlines challenges and future directions for advancing Nepali video captioning, offering a crucial resource for further research in this area., Comment: 6 pages, 5 figures, 3 tables. Presented in the International Conference on Technologies for Computer, Electrical, Electronics & Communication (ICT-CEEL 2023), Bhaktapur, Nepal
- Published
- 2023
32. Knowledge and practices of plagiarism among journal editors of Nepal
- Author
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Krishna Subedi, Nuwadatta Subedi, and Rebicca Ranjit
- Subjects
Journal editors ,Knowledge and practices ,Misconduct ,Plagiarism ,General Works - Abstract
Abstract Background This study was conducted to assess the knowledge and ongoing practices of plagiarism among the journal editors of Nepal. Methods This web-based questionnaire analytical cross-sectional was conducted among journal editors working across various journals in Nepal. All journal editors from NepJOL-indexed journals in Nepal who provided e-consent were included in the study using a convenience sampling technique. A final set of questionnaires was prepared using Google Forms, including six knowledge questions, three practice questions (with subsets) for authors, and four (with subsets) for editors. These were distributed to journal editors in Nepal via email, Facebook Messenger, Viber, and WhatsApp. Reminders were sent weekly, up to three times. Data analysis was done in R software. Frequencies and percentages were calculated for the demographic variables, correct responses regarding knowledge, and practices related to plagiarism. Independent t-test and one-way ANOVA were used to compare mean knowledge with demographic variables. For all tests, statistical significance was set at p
- Published
- 2024
- Full Text
- View/download PDF
33. Interviewing Female Teachers as a Male Researcher: A Field Reflection from a Patriarchal Society Perspective
- Author
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Subedi, Khim Raj and Gaulee, Uttam
- Abstract
This article examines the role of gender difference in a qualitative interview from the theoretical lenses of the sociocultural perspective of teachers' identity in a localized context of Ph.D. field research. The study blends the researcher's critical reflections during interviewing female teachers in exploring their teacher identity and existing literature on gender differences in a qualitative interview. In addition, a research diary is used as the data source to unpack the complexity of gender dynamics in a qualitative interview. To add to the discussion of gender difference in a qualitative interview, we argued that gender difference between the interviewer and the interviewee mediates and shapes the data collection in a qualitative interview. Thus, to understand the role of gender difference in a qualitative interview, it is necessary to do a comprehensive analysis of the complex dynamics of gender matching, the cultural background of the interviewee, and possible power relations between the researcher and participants. This study contributes to the dynamics in interviewing women by a man outside the Western cultural setting, particularly during a field research experience by a Ph.D. scholar.
- Published
- 2023
34. Optimization of Coronary Stent Design Using Response Surface Modeling
- Author
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Subedi, Sujan and Joshi, Prajwol
- Published
- 2024
- Full Text
- View/download PDF
35. Studies on the host selection of a weed biological control candidate facilitate pre-release environmental safety assessments
- Author
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Subedi, Bijay, Schwarzländer, Mark, Eigenbrode, Sanford D., Harmon, Bradley L., and Weyl, Philip
- Published
- 2024
- Full Text
- View/download PDF
36. A comprehensive assessment of selective amino acid 15N-labeling in human embryonic kidney 293 cells for NMR spectroscopy
- Author
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Subedi, Ganesh P., Roberts, Elijah T., Davis, Alexander R., Kremer, Paul G., Amster, I. Jonathan, and Barb, Adam W.
- Published
- 2024
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37. Adult Children’s Migration and Health-Related Quality of Life Among Older Nepali Adults
- Author
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Ghimire, Saruna, Singh, Devendra Raj, McLaughlin, Sara J., Nath, Dhirendra, McCarren, Hannah, and Subedi, Janardan
- Published
- 2024
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- View/download PDF
38. Louisiana’s Sugarcane Bagasse Ash Utilization for Partial Cement Replacement in Concrete for Transportation Infrastructure Applications
- Author
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Subedi, Sujata, Arce, Gabriel A., Hassan, Marwa M., Barbato, Michele, Gutierrez-Wing, Maria Teresa, and Kumar, Nitin
- Published
- 2024
- Full Text
- View/download PDF
39. Apple Tasting: Combinatorial Dimensions and Minimax Rates
- Author
-
Raman, Vinod, Subedi, Unique, Raman, Ananth, and Tewari, Ambuj
- Subjects
Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
In online binary classification under \emph{apple tasting} feedback, the learner only observes the true label if it predicts ``1". First studied by \cite{helmbold2000apple}, we revisit this classical partial-feedback setting and study online learnability from a combinatorial perspective. We show that the Littlestone dimension continues to provide a tight quantitative characterization of apple tasting in the agnostic setting, closing an open question posed by \cite{helmbold2000apple}. In addition, we give a new combinatorial parameter, called the Effective width, that tightly quantifies the minimax expected mistakes in the realizable setting. As a corollary, we use the Effective width to establish a \emph{trichotomy} of the minimax expected number of mistakes in the realizable setting. In particular, we show that in the realizable setting, the expected number of mistakes of any learner, under apple tasting feedback, can be $\Theta(1), \Theta(\sqrt{T})$, or $\Theta(T)$. This is in contrast to the full-information realizable setting where only $\Theta(1)$ and $\Theta(T)$ are possible., Comment: 21 pages, COLT 2024 Camera Ready
- Published
- 2023
40. Leveraging Data-Driven Models for Accurate Analysis of Grid-Tied Smart Inverters Dynamics
- Author
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Subedi, Sunil, Guruwacharya, Nischal, Poudel, Bidur, Vasquez-Plaza, Jesus D., Andrade, Fabio, Fourney, Robert, Rekabdarkolaee, Hossein Moradi, Hansen, Timothy M., and Tonkoski, Reinaldo
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
The integration of power electronic converters (PECs) and distributed energy resources (DERs) in modern power systems has introduced dynamism and complexity. Accurate simulation becomes essential to comprehend the influence of converter domination on the power grid. This study addresses the fast-switching and stochastic behaviors exhibited by inverter-based resources in converter-dominated power systems, highlighting the necessity for precise analytical models. In the realm of modeling real-world systems, multiple methodologies exist. Notably, black-box and data-driven system identification techniques are employed to construct PEC models using experimental data, without relying on a priori knowledge of the internal system physics. This approach entails a systematic process of model class selection, parameter estimation, and model validation. While a range of linear and nonlinear model structures and estimation algorithms are at our disposal, it remains imperative to harness creativity and a profound understanding of the physical system to craft data-driven models that align seamlessly with their intended applications. These applications may encompass simulation, prediction, control, or fault detection. This report offers valuable insights into the collection of datasets from commercial off-the-shelf inverters, along with the presentation of intricate simulation models., Comment: 9 pages, 7 figures
- Published
- 2023
41. Nancy Grace Roman Space Telescope Coronagraph Instrument Overview and Status
- Author
-
Bailey, Vanessa P., Bendek, Eduardo, Monacelli, Brian, Baker, Caleb, Bedrosian, Gasia, Cady, Eric, Douglas, Ewan S., Groff, Tyler, Hildebrandt, Sergi R., Kasdin, N. Jeremy, Krist, John, Macintosh, Bruce, Mennesson, Bertrand, Morrissey, Patrick, Poberezhskiy, Ilya, Subedi, Hari B., Rhodes, Jason, Roberge, Aki, Ygouf, Marie, Zellem, Robert T., Zhao, Feng, and Zimmerman, Neil T.
- Subjects
Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Earth and Planetary Astrophysics - Abstract
The Nancy Grace Roman Space Telescope Coronagraph Instrument is a critical technology demonstrator for NASA's Habitable Worlds Observatory. With a predicted visible-light flux ratio detection limit of 1E-8 or better, it will be capable of reaching new areas of parameter space for both gas giant exoplanets and circumstellar disks. It is in the final stages of integration and test at the Jet Propulsion Laboratory, with an anticipated delivery to payload integration in the coming year. This paper will review the instrument systems, observing modes, potential observing applications, and overall progress toward instrument integration and test., Comment: Proceedings of SPIE: Techniques and Instrumentation for Detection of Exoplanets XI, vol. 12680 (2023)
- Published
- 2023
42. Online Infinite-Dimensional Regression: Learning Linear Operators
- Author
-
Raman, Vinod, Subedi, Unique, and Tewari, Ambuj
- Subjects
Statistics - Machine Learning ,Computer Science - Machine Learning - Abstract
We consider the problem of learning linear operators under squared loss between two infinite-dimensional Hilbert spaces in the online setting. We show that the class of linear operators with uniformly bounded $p$-Schatten norm is online learnable for any $p \in [1, \infty)$. On the other hand, we prove an impossibility result by showing that the class of uniformly bounded linear operators with respect to the operator norm is \textit{not} online learnable. Moreover, we show a separation between sequential uniform convergence and online learnability by identifying a class of bounded linear operators that is online learnable but uniform convergence does not hold. Finally, we prove that the impossibility result and the separation between uniform convergence and learnability also hold in the batch setting., Comment: 21 pages, ALT 2024 Camera Ready
- Published
- 2023
43. Design of Muon Campus full flow purifier for varying operational conditions and horizontal shipping
- Author
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Subedi, J., Tope, T., Hansen, B., Jia, Y., Makara, J., Tillman, J., and Tang, Z.
- Subjects
Physics - Instrumentation and Detectors - Abstract
Constant ingress of impurities in Muon Campus g-2 experiment at Fermilab has resulted in reduction of efficiency of cryogenic expanders and occasional undesired downtime to flush the impurities. Due to insufficiency of current 60 g/s mobile purifier, a full flow purifier is designed to be used in Muon Campus which purifies 240 g/s of Helium throughput of 4 compressors through charcoal bed at 80 K and returns ambient Helium back to the system. The purifier is designed to be operated near liquid Nitrogen temperature during cold operations and up to 400 K during regeneration. Both warm and cold operational range of the purifier has required use of appropriate clearances in design due to expansion and contraction. The vessel of around 16 ft height which is designed to be operated vertically is to be shipped horizontally. The asymmetrical position of heavy stainless steel heat exchanger in the purifier support frame and 5g vertical load design consideration for shipping has required use of shipping supports and heat exchanger rotational stops to comply with design requirements. FEA of purifier system is performed in cold, warm and shipping cases to verify that the purifier satisfies the design requirements., Comment: Cryogenic Eng Conf and Intnl Cryo Materials Conf (CEC/ICMC 2023)
- Published
- 2023
44. Nitrogen Precooling Heat Exchanger replacement and control system upgrade in Superfluid Cryoplant at CMTF
- Author
-
Subedi, J., Hansen, B., White, M., Patel, V., Makara, J., Atassi, O., and Johnson, G.
- Subjects
Physics - Instrumentation and Detectors - Abstract
Liquid Nitrogen precooling is used in most Cryoplants to achieve cooldown to 80 K temperature range. In one such system at Fermilab's CMTF Superfluid Cryoplant, where the Helium supply directly exchanges heat with liquid Nitrogen, freezing of Nitrogen occurred inside the heat exchanger due to heat exchanger imbalance during a Cryoplant trip. Trapped vapor pockets of N2 within the frozen heat exchanger channels were formed while warming up the heat exchanger, creating high localized pressure and subsequent damage/rupture of the heat exchanger. Replacement of the heat exchanger was done, and modifications were made in the system to rectify future occurrences. The control system was updated to bypass the heat exchanger entirely if the incoming Helium stream temperature drops below 76 K. This was done by repurposing two control valves as heat exchanger bypass valves that were previously used for a redundant 80 K adsorber in the coldbox. Additional modifications were made to further prevent return of large amount of cold Helium gas from cold end during abrupt Cryoplant shutdown. This modification has ensured high reliability of heat exchanger with prevention of freezing of Nitrogen which can damage the heat exchanger., Comment: Cryogenic Eng Conf and Intnl Cryo Materials Conf (CEC/ICMC 2023)
- Published
- 2023
45. Order-by-disorder charge density wave condensation at $\mathbf{\textit{q} =(\frac{1}{3},\frac{1}{3},\frac{1}{3})}$ in kagome metal ScV$_6$Sn$_6$
- Author
-
Subedi, Alaska
- Subjects
Condensed Matter - Strongly Correlated Electrons ,Condensed Matter - Materials Science - Abstract
The recent discovery of a charge density wave order at the wave vector $P$ $(\frac{1}{3},\frac{1}{3},\frac{1}{3})$ in the kagome metal ScV$_6$Sn$_6$ has created a mystery because subsequent theoretical and experimental studies show a dominant phonon instability instead at another wave vector $H$ $(\frac{1}{3},\frac{1}{3},\frac{1}{2})$. In this paper, I use first principles total energy calculations to map out the landscape of the structural distortions due to the unstable phonon modes at $H$, $L$ $(\frac{1}{2},0,\frac{1}{2})$, and $P$ present in this material. In agreement with previous results, I find that the distortions due to the $H$ instability cause the largest gain in energy relative to the parent structure, followed in order by the $L$ and $P$ instabilities. However, only two distinct structure occur due to this instability, which are separated by 6 meV/f.u. The instability at $L$ results in three distinct structures separated in energy by 5 meV/f.u. In contrast, six different distorted structures are stabilized due to the instability at $P$, and they all lie within 2 meV/f.u.\ of each other. Hence, despite a lower energy gain, the condensation at $P$ could be favorable due to a larger entropy gain associated with the fluctuations within a manifold with larger multiplicity via the order-by-disorder mechanism., Comment: Fix a typo; 6 pages, 2 figures, 2 tables; crystal structure information are given in ancillary files
- Published
- 2023
- Full Text
- View/download PDF
46. Installation, commissioning, and testing of the HB650 CM at PIP2IT
- Author
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White, M, Makara, J, Ranpariya, S, Pei, L, Barba, M, Subedi, J, Dong, J, Hansen, B, Akintola, A E T, Holzbauer, J, Ozelis, J, Chandrasekaran, S, and Roger, V
- Subjects
Physics - Accelerator Physics - Abstract
The Proton Improvement Plan-II (PIP-II) is a major upgrade to the Fermilab accelerator complex, featuring a new 800-MeV Superconducting Radio-Frequency (SRF) linear accelerator (LINAC) powering the accelerator complex to provide the world's most intense high-energy neutrino beam. This paper describes the conversion of the PIP-II Injector Test Facility (PIP2IT) cryogenic system into a test stand for PIP-II High-Beta 650 MHz (HB650) cryomodules at Fermilab's Cryomodule Test Facility (CMTF). A description of the associated mechanical, electrical, and controls modifications necessary for testing HB650 cryomodules are provided. The cooldown and warmup requirements, procedures and associated controls logic is described., Comment: 2023 Cryogenic Engineering Conference and International Cryogenic Materials Conference (CEC/ICMC)
- Published
- 2023
47. Even-Odd-Layer-Dependent Symmetry Breaking in Synthetic Antiferromagnets
- Author
-
Subedi, Mitra Mani, Deng, Kuangyin, Flebus, Benedetta, and Sklenar, Joseph
- Subjects
Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Materials Science - Abstract
In this work we examine synthetic antiferromagnetic structures consisting of two, three, and four antiferromagnetic coupled layers, i.e., bilayers, trilayers, and tetralayers. We vary the thickness of the ferromagnetic layers across all structures and, using a macrospin formalism, find that the nearest neighbor exchange interaction between layers is consistent across all structures for a given thickness. Our model and experimental results demonstrate significant differences in how the magnetostatic equilibrium states of even and odd-layered structures evolve as a function of the external field. Even layered structures continuously evolve from a collinear antiferromagnetic state to a spin canted non-collinear magnetic configuration that is mirror-symmetric about the external field. In contrast, odd-layered structures begin with a ferrimagnetic ground state; at a critical field, the ferrimagnetic ground state evolves into a non-collinear state with broken symmetry. Specifically, the magnetic moments found in the odd-layered samples possess stable static equilibrium states that are no longer mirror-symmetric about the external field after a critical field is reached. Our results reveal the rich behavior of synthetic antiferromagnets.
- Published
- 2023
48. Multiclass Online Learnability under Bandit Feedback
- Author
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Raman, Ananth, Raman, Vinod, Subedi, Unique, Mehalel, Idan, and Tewari, Ambuj
- Subjects
Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
We study online multiclass classification under bandit feedback. We extend the results of Daniely and Helbertal [2013] by showing that the finiteness of the Bandit Littlestone dimension is necessary and sufficient for bandit online learnability even when the label space is unbounded. Moreover, we show that, unlike the full-information setting, sequential uniform convergence is necessary but not sufficient for bandit online learnability. Our result complements the recent work by Hanneke, Moran, Raman, Subedi, and Tewari [2023] who show that the Littlestone dimension characterizes online multiclass learnability in the full-information setting even when the label space is unbounded., Comment: 16 pages, ALT 2024 Camera Ready
- Published
- 2023
49. Emergent electronic landscapes in a novel valence-ordered nickelate with tri-component nickel coordination
- Author
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Raji, Aravind, Dong, Zhengang, Porée, Victor, Subedi, Alaska, Li, Xiaoyan, Mundet, Bernat, Varbaro, Lucia, Domínguez, Claribel, Hadjimichael, Marios, Feng, Bohan, Nicolaou, Alessandro, Rueff, Jean-Pascal, Li, Danfeng, and Gloter, Alexandre
- Subjects
Condensed Matter - Materials Science - Abstract
The metal-hydride-based topochemical reduction process has produced novel thermodynamically unstable phases across various transition metal oxide series with unusual crystal structures and non-trivial ground states. Here, by such an oxygen (de-) intercalation method we synthesis a novel samarium nickelate with ordered nickel valences associated with tri-component coordination configurations. This structure, with a formula of Sm$_{9}$Ni$_{9}$O$_{22}$ as revealed by four-dimensional scanning transmission electron microscopy, emerges from the intricate planes of {303}$_{\text{pc}}$ ordered apical oxygen vacancies. X-ray spectroscopy measurements and ab-initio calculations show the coexistence of square-planar, pyramidal and octahedral Ni sites with mono-, bi- and tri-valences. It leads to an intense orbital polarization, charge-ordering, and a ground state with a strong electron localization marked by the disappearance of ligand-hole configuration at low-temperature. This new nickelate compound provides another example of previously inaccessible materials enabled by topotactic transformations and presents a unique platform where mixed Ni valence can give rise to exotic phenomena.
- Published
- 2023
- Full Text
- View/download PDF
50. Knowledge and practices of plagiarism among journal editors of Nepal
- Author
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Subedi, Krishna, Subedi, Nuwadatta, and Ranjit, Rebicca
- Published
- 2024
- Full Text
- View/download PDF
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