1. Challenges in teaching Real Analysis classes at the University of PGRI, South Sumatra, Indonesia

   http://arxiv.org/abs/2008.00182v1 · arxiv

   This paper discusses our experiences and challenges in teaching advanced undergraduate Real Analysis classes for Mathematics Education students at the University of PGRI (Persatuan Guru Republik Indonesia, Indonesian Teachers Association) Palembang, South Sumatra, Indonesia. We observe that the syll

2. UIC-AIHealth4All at ArchEHR-QA 2026: Answer-First Evidence Grounding for Clinical Question Answering

   http://arxiv.org/abs/2608.27467v1 · arxiv

   We describe the UIC-AIHealth4All system for ArchEHR-QA 2026, a shared task on grounded question answering from electronic health records. We participated in Subtasks 2 (evidence identification), 3 (answer generation), and 4 (answer-evidence alignment). For Subtasks 2 and 3, we propose an answer-firs

3. Context in object detection: a systematic literature review

   http://arxiv.org/abs/2503.23249v1 · arxiv

   Context is an important factor in computer vision as it offers valuable information to clarify and analyze visual data. Utilizing the contextual information inherent in an image or a video can improve the precision and effectiveness of object detectors. For example, where recognizing an isolated obj

4. The effects of ENSO, climate change and human activities on the water level of Lake Toba, Indonesia: a critical literature review

   http://arxiv.org/abs/2105.08918v1 · arxiv

   This research quantitatively and qualitatively analyzes the factors responsible for the water level variations in Lake Toba, North Sumatra Province, Indonesia. According to several studies carried out from 1993 to 2020, changes in the water level were associated with climate variability, climate cha

5. A Brief Review of Hypernetworks in Deep Learning

   http://arxiv.org/abs/2306.06955v3 · arxiv

   Hypernetworks, or hypernets for short, are neural networks that generate weights for another neural network, known as the target network. They have emerged as a powerful deep learning technique that allows for greater flexibility, adaptability, dynamism, faster training, information sharing, and mod

6. GIS-AHP Multi-Decision-Criteria-Analysis for the Optimal Location of Solar Energy Plants at Indonesia

   http://arxiv.org/abs/2007.15351v1 · arxiv

   A reliable tool for site-suitability assessment of solar power plants capable to account for the sustainable development and protection of cultural and biodiversity conservation areas is proposed. We present a novel Analytic Hierarchy Process (AHP) based approach for the Multi-Decision Criteria Anal

7. Fluctuations and Higgs mechanism in Under-Doped Cuprates: a Review

   http://arxiv.org/abs/1906.10146v1 · arxiv

   The physics of the pseudo-gap phase of high temperature cuprate superconductors has been an enduring mystery in the past thirty years. The ubiquitous presence of the pseudo-gap phase in under-doped cuprates suggests that its understanding holds a key in unraveling the origin of high temperature supe

8. Status of the $S_8$ Tension: A 2026 Review of Probe Discrepancies

   http://arxiv.org/abs/2602.12238v2 · arxiv

   The parameter $S_8 \equiv σ_8 (Ω_m/0.3)^{0.5}$ quantifies the amplitude of matter density fluctuations. A persistent discrepancy exists between early-universe CMB observations and late-universe probes. This review assesses the ``$S_8$ tension'' against a new 2026 baseline: a unified ``Combined CMB''

9. Predicting Tourism Demand in Indonesia Using Google Trends Data

   http://arxiv.org/abs/2211.13938v1 · arxiv

   Tourism data is one of the strategic data in Indonesia. In addition, tourism is one of the ten priority programs of national development planning in Indonesia. BPS-Statistics Indonesia has collected data related to tourism demand in Indonesia, but these data have different time period. Several data

10. Impacts of the Madden Julian Oscillation on Precipitation Extremes in Indonesia

    http://arxiv.org/abs/2007.10574v1 · arxiv

    The influence of the Madden Julian Oscillation (MJO) on the precipitation extremes in Indonesia during the rainy season (October to April) has been evaluated using the daily station rain gauge data and the gridded Asian Precipitation Highly Resolved Observational Data Integration Toward Evaluation o

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