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29th International Conference on Information Technology, IT 2025

作者： Putri, Rhisa Adika Oktavia, Tanty BINUS Graduate Program-Master of Information System Management Information Systems Management Department Jakarta11480 Indonesia

ISBN: (纸本)9798331517649

This study explores sentiment analysis on Indonesian social media data related to stock investments, focused on GOTO stocks. Using the Knowledge Discovery in Database (KDD) methodology, data was collected from the social media platform X (formerly Twitter) during the period from January 2023 to December 2024, preprocessed, and manually labeled into positive, neutral, and negative categories. A deep learning model, Bidirectional Encoder Representations from Transformers (BERT), was employed to analyze the data. The model demonstrated strong performance, achieving a weighted average precision, recall, and F1-score of 0.95 on the test set, with precision scores of 0.99 for positive sentiments and recall scores of 0.97 for neutral sentiments. However, the F1-score for negative sentiments was comparatively lower at 0.87, indicating an area for improvement. These results highlight the effectiveness of sentiment analysis for monitoring stock market trends and public opinion. However, the study is limited by its reliance on data from a single platform (Twitter) and the relatively small dataset size. Future research should incorporate data from multiple platforms, such as Instagram and Facebook, and explore alternative models alongside BERT to enhance performance and generalizability. © 2025 IEEE.

关键词： Tweets

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Machine learning approaches enable the discovery of therapeutics across domains

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Molecular Therapy 2025年第5期33卷 2269-2278页

作者： Chhibbar, Prabal Das, Jishnu Centre for Systems Immunology Department of Immunology School of Medicine University of Pittsburgh Pittsburgh 15213 PA United States Department of Computational and Systems Biology School of Medicine University of Pittsburgh Pittsburgh 15213 PA United States Integrative Systems Biology PhD Program School of Medicine University of Pittsburgh Pittsburgh 15213 PA United States

Multi-modal datasets have grown exponentially in the last decade. This has created an enormous demand for machine learning models that can predict complex outcomes by leveraging cellular, molecular, and humoral profiles. Corresponding inference of mechanisms can help to uncover new therapeutic targets. Here, we discuss how biological principles guide the design of predictive models and how interpretable machine learning can lead to novel mechanistic insights. We provide descriptions of multiple learning techniques and how suited they are to domain adaptations. Finally, we talk about broad learning capabilities of foundation models on large datasets and whether they can be used to provide meaningful inference about biological datasets. © 2025 The Author(s)

关键词： deep learning foundation models interpretable machine learning therapeutics

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THE SHORT-TERM DYNAMICS OF CONFLICT-DRIVEN DISPLACEMENT: BAYESIAN MODELING OF DISAGGREGATED DATA FROM SOMALIA

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Annals of Applied Statistics 2025年第1期19卷 286-301页

作者： Zens, Gregor Thalheimer, Lisa Population and Just Societies Program International Institute for Applied Systems Analysis (IIASA) Austria Environment and Migration: Interactions and Choices Division United Nations University (UNU) Japan

Understanding the short-run dynamics of conflict and forced displacement is crucial for the design of effective policy responses, yet quantitative analyses in this realm are sparse. This is primarily due to the scarcity of high-frequency displacement data and methodological challenges arising when modeling imperfect data collected in conflict zones. Addressing both issues, we develop a Bayesian panel regression model to assess the shortterm impact of conflict on displacement in Somalia, utilizing weekly panel data that encompasses eight million displacements and 19,000 conflict events from 2017 to 2023. Results suggest a rapid and nonlinear displacement response postconflict, with significant heterogeneity in effects dependent on the nature of conflict events. In a displacement forecasting exercise, our model outperforms standard benchmarks, underscoring its potential for informing decision-makers in crisis scenarios. © Institute of Mathematical Statistics, 2025.

关键词： distributed lag model factor model Internal displacement modeling panel model state space model

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Department of homeland security control systems security program

Department of homeland security control systems security pro...

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American Water Works Association Annual Conference and Exposition 2009, ACE 2009

作者： Rodriguez, Julio Idaho National Laboratory United States Control Systems Security Program National Cyber Security Division U.S. Department of Homeland Security United States

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Navy Strategic systems program Range Instrumentation Support of SSGN Demonstration and Validation Test with USS Florida

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JOHNS HOPKINS APL TECHNICAL DIGEST 2010年第2期29卷 149-156页

作者： Horstkamp, Gregory M. Vetter, Jerome R. McSoley, Charles J. Szerlag, Ward J. AP Global Engagement Department Strategic Systems Business Area"s Range Systems Program APL Range Systems Programs high-frequency ground wave/buoyant cable assemblies project in the Strategic Systems Business Area Test Instru- mentation Operations

The guided missile submarine (SSGN) demonstration and validation (DEMVAL) program was a first-of-its-kind at-sea test of two Block III Tomahawk missiles from a modified Trident I (C4) ballistic missile submarine (SSBN). This article focuses on the test instrumentation provided by the Strategic systems program (SSP) and its purpose in support of the DEMVAL. SSP provided a launch area support ship (LASS) instrumented with two Weibel X-band Doppler tracking radars, the Advanced Dual Optical Tracking System, a telemetry recording system, and a full communications suite in support of the DEMVAL at-sea tests. The X-band radar and optical systems tracked each missile from broach to the end of boost-phase flight and primarily were responsible for characterizing the trajectory of debris falling from the missiles during this phase of flight. The telemetry system acted as a backup capability, supporting the recovery of missile telemetry from first motion through the boost phase of flight. The LASS also supported RF and underwater acoustic communications with the SSBN during the test and relayed video of the launches to SSP Headquarters in real time. The DEMVAL test was conducted in January 2003 within the Gulf of Mexico from the USS Florida (SSBN 728).

关键词： Underwater acoustics

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Design of Navigation Satellite Constellation for Global Lunar PNT

Design of Navigation Satellite Constellation for Global Luna...

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2025 International Technical Meeting of The Institute of Navigation, ITM 2025

作者： Kang, Minjae Jeong, Hojoon Park, Jaeuk Kee, Changdon Interdisciplinary Program in Space Systems Seoul National University Korea Republic of Department of Aerospace Engineering and SNU-IAMD Seoul National University Korea Republic of

ISBN: (纸本)9780936406404

This study presents the design of a lunar navigation satellite constellation to provide global Positioning, Navigation, and Timing (PNT) services, beginning with coverage at the lunar South Pole and gradually expanding to the entire Moon. Building upon an initial Phase 1 constellation that ensures reliable PNT at the South Pole, Phase 2 extends this coverage globally, addressing the challenges of providing continuous navigation services across the lunar surface. The proposed Hybrid Frozen Constellation combines Elliptical Lunar Frozen Orbits (ELFOs) and Circular Frozen Orbits to offer a cost-effective and efficient solution, leveraging the stable South Pole-oriented orbits while minimizing the number of satellites required. The study explores various satellite configurations to achieve best Position Dilution of Precision (PDOP) across the entire lunar surface. By carefully analyzing the geometry and phasing of the orbits, the design aims to maximize navigation performance while reducing the satellite volume. Simulation results confirm that the full constellation achieves over 98% PDOP availability, ensuring PDOP values remain below 6, meeting the GPS standards for reliable navigation. This performance guarantees accurate positioning, even in challenging regions of the lunar surface, and supports both robotic and crewed exploration missions. © 2025 Proceedings of the International Technical Meeting of The Institute of Navigation, ITM. All rights reserved.

关键词： Lunar missions

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Throughput and Quality Optimized Down-Selection of Overlay Measurement Markers for Robust Control of the Maximum Overlay Error in a Pattern Layer in Photolithography Processes

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IEEE Transactions on Semiconductor Manufacturing 2025年第2期38卷 251-262页

作者： Graff, Noah Djurdjanovic, Dragan The University of Texas at Austin Graduate Program in Dynamic Systems & Controls Walker Department of Mechanical Engineering AustinTX78712 United States The University of Texas at Austin Walker Department of Mechanical Engineering AustinTX78712 United States

This paper presents a metaheuristic optimization-based approach for selecting a pre-determined number of measurement markers from the set of available markers that optimizes the performance of the recently introduced robust L∞ norm overlay control algorithm, which robustly minimizes the worst overlay error across a given pattern layer. This optimization is then used in a Design of Experiments (DOE) setting to build a tractable regression model of a customizable objective function encompassing cost effects of quality losses and throughput benefits resulting from the down-selection of markers selected for robust overlay control. Using this model, one can rapidly determine the optimal proportion of markers for any set of cost parameters, and the optimal subset forming this proportion of available markers can be down-selected to maximize performance of the resulting robust overlay controller. Overlay data and models from a semiconductor manufacturing fab were used to evaluate the newly proposed inspection and control strategy. Results clearly indicate that the novel strategic down-selection of measurement markers coupled with robust overlay control could lead to vastly improved throughputs without decreasing quality relative to what can be achieved using traditional Run-to-Run (R2R) control. Feasibility of the novel DOE-based optimization was demonstrated for two scenarios of cost-effect parameters. © 1988-2012 IEEE.

关键词： Throughput

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Digital Transformation in Banking: Behavioral and Technological Factors in Indonesia

Digital Transformation in Banking: Behavioral and Technologi...

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International Scientific-Professional Conference on Information Technology (IT)

作者： Auryns Lycaso Anderes Gui Information Systems Study Program School of Information Systems Bina Nusantara University Indonesia Lecturer Specialist-S3 from Information Systems Study Program School of Information Systems Bina Nusantara University

ISBN: (数字)9798331517649

ISBN: (纸本)9798331517656

This study investigates the behavioral and technological factors influencing non-users’ intention to adopt digital banking in Indonesia, utilizing the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT). Key constructs analyzed include Perceived Usefulness (PU), Perceived Ease of Use (PEU), Social Influence (SI), Facilitating Conditions (FC), Perceived Risk (PR), Perceived Trust (PT), and Perceived Security (PS). Despite the widespread use of TAM and UTAUT, this research addresses a significant gap by integrating trust-sensitive factors (PR, PT, and PS), which are crucial for understanding adoption in emerging markets. Data from 277 non-users were collected via a structured survey and analyzed using Structural Equation Modeling (SEM). Results reveal that PU, SI, FC, PR, and PS significantly influence Behavioral Intention (BI), while PEU and PT exhibit non-significant effects. This finding reflects a shift in user priorities from usability and generalized trust to tangible factors like security and infrastructure reliability. By refining these established frameworks, this study provides actionable insights for advancing digital banking adoption, particularly in Indonesia and other trust-sensitive emerging markets. Practical recommendations for policymakers and financial institutions focus on enhancing security, improving digital literacy, and bridging infrastructural gaps.

关键词： Surveys Technology acceptance model Numerical analysis Refining Banking Mathematical models Security Reliability Usability Information technology

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Geochemical mapping of modern sedimentary organic matter deposited in a World Heritage subtropical estuary affected by human activities: stable isotopes and molecular approaches

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Environmental Science and Pollution Research 2025年第9期32卷 5228-5244页

作者： Wilhelm, Marines Maria Cabral, Ana Caroline dos Santos, Felipe Rodrigues Dauner, Ana Lúcia Lindroth Bícego, Márcia Caruso Nagai, Renata Hanae Figueira, Rubens Cesar Lopes de Mahiques, Michel Michaelovitch Martins, César de Castro Graduate Program in Coastal and Oceanic Systems Federal University of Paraná PR Pontal Do Paraná Brazil Center of Marine Studies Campus Pontal Do Paraná Federal University of Paraná PR Pontal Do Paraná Brazil Oceanographic Institute University of São Paulo SP São Paulo Brazil Ecosystems and Environment Research Program University of Helsinki Helsinki Finland

The Paranaguá Estuarine System (PES) plays a crucial ecological and economic role in the coastal zone of Brazil, containing significant remaining portions of the Atlantic rainforest, which is considered a World Heritage Site (WHS) by UNESCO. At the same time, the PES accommodates the largest bulk grain port terminal and is the leader in container handling in Latin America. In this study, we combined elemental, isotopic, and molecular markers (n-alkanes and n-alkanols) with a comprehensive sample set of surface sediments to understand and distinguish the primary sources of sedimentary organic matter (OM) and evaluate the environmental quality of a WHS under human pressure. The C/N ratio and δ13C ranged from 4.98 to 17.9 and − 27.15 to − 22.88‰, respectively. These results suggest that the primary bulk OM origin is the terrigenous contribution from river inputs. The total long-chain n-alkanes and n-alkanols results ranged from 0.29 to 12.3 µg g−1 and 0.19 and 998.1 µg g−1, respectively, and the n-alkanes diagnostic indices (e.g. CPI and TAR) agree with elementary and isotopic proxies. The river contribution, together with tidal currents, dominates the local hydrodynamics. However, the estuarine mouth region and northern sector are strongly influenced by marine-sourced OM. It was also observed that the low-energy estuarine hydrodynamics controls the OM deposition in Antonina Bay, which favours the deposition of fine sediments. In Paranaguá Bay, due to a mixing zone with the intrusion of fresh and marine waters, there are sites of preferential accumulation of OM caused by fine particles’ flocculation. This geochemical mapping of sedimentary OM composition may provide important insights into future scenarios of environmental changes and may be applied to track the deposition and accumulation of anthropogenic residues from the continental basin and port activities. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Surficial sediments

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Towards Simultaneous Multi-Parameter Measurements Using Burst-Mode FrequencyScanning Planar Laser-Induced Fluorescence

Towards Simultaneous Multi-Parameter Measurements Using Burs...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Braun, Amanda M. Rodrigues, Neil S. Danehy, Paul M. Advanced Measurements and Data Systems Branch NASA Postdoctoral Program at NASA Langley Research Center HamptonVA23681 United States Advanced Measurements and Data Systems Branch NASA Langley Research Center HamptonVA23681 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

While planar laser-induced fluorescence (PLIF) can provide valuable flow visualization, there are many challenges in extracting quantitative measurements from the fluorescence intensity. To overcome the multi-parameter dependence of the signal intensity, frequencyscanning planar laser-induced fluorescence (FS-PLIF) provides the potential for 2D temperature, pressure, and velocity measurements by spectrally resolving the excitation spectrum of one or more fluorescence transitions to extract the Doppler shift, Doppler- and collisional-broadening of absorption lines, and the relative signal intensities of multiple transitions. This work aims to characterize a burst-mode FS-PLIF system consisting of a Spectral Energies, LLC burst-mode laser coupled with a Spectral Energies, LLC optical parametric oscillator using nitric oxide (NO) static pressure cell measurements. The effect of the OPO cavity on intensity fluctuations during frequency-scanning is investigated. A NO PLIF model is implemented to investigate the feasibility of property measurements using single-and two-NO-line scans. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Optical parametric oscillators

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