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  • AI & Machine Learning, Computing, Data & AI
    A Comparative Analysis of Machine Learning Models for Wildfire Prediction
    Abstract Amid the increasing threat of wildfires driven by extreme weather events, the imperative development of rapid and efficient fire prediction models becomes evident for successful evacuation, suppression efforts, and air quality forecasts. This paper thoroughly analyzes ten popular machine learning models to evaluate their effectiveness in distinguishing meteorological and topographical data as conducive or […]
    Brent Kong
    |
    June 22, 2024
  • Social Sciences, Social Sciences, Humanities & Policy
    Multi-Sectorial Approach in Addressing Child Poverty: A Case Study on Saint John, Canada
    Abstract This paper examines the complex cause and solution to the child poverty issue through a case study of Saint John, Canada and will focus on the social and policy determinants of child poverty. Through analyzing the government’s fiscal policy, pricing for essential and public goods, and various current policies, the research concludes that the […]
    Jianheng Ma
    |
    May 21, 2024
  • Computer Science, Computing, Data & AI
    Using Information Theory to Play Wordle as Optimally as Possible
    Abstract Wordle is a game where the player must guess a secret word within 6 chances. With each guess, the player obtains information in the form of a pattern, which shows how close the guess is to the secret word. The goal of the game is to guess the secret word with as few guesses […]
    Neelesh Mishra
    |
    April 14, 2024
  • Chemistry, Physical Sciences
    Powering the Future:  Comprehensive Strategies for Enhancing Efficiency and Stability in Organic Photovoltaic Cells
    Abstract Organic photovoltaic (OPV) cells hold great promise for sustainable energy generation, offering a low-cost and eco-friendly alternative to traditional solar cells. However, their efficiency and stability remain key challenges. This paper addresses these challenges through a systematic analysis of three optimization strategies: side-chain modifications, interfacial layer engineering, and morphology optimization. Data tables highlight the […]
    Andrei Cojocariu
    |
    April 10, 2024
  • AI & Machine Learning, Computing, Data & AI
    Predictive Modelling of a Chess Player’s Style using Machine Learning
    Abstract For many novice and professional chess players, the emergence of ‘unbeatable’ artificial intelligence (AI) chess models has caused an increase reliance on this technology for memorization, losing the creative and analysis provoking aspect of the game. In this paper, I propose the use of AI in chess to enhance the creative aspect of chess […]
    Aniketh Kalagara
    |
    April 9, 2024

Most Discussed ›

NHSJS Reports ›

  • Large Language Models for Vulnerability Discovery in Source Code
    Abstract Software vulnerabilities create serious security risks, causing data breaches and financial losses across organizations. Traditional methods like static analysis tools and manual code reviews have high false positive rates and struggle to keep up with modern software development. Large Language Models (LLMs) offer a different approach since they can understand code semantics rather than […]
    Kiumars Momtaz
    |
    July 31, 2026
  • From Innovation to Implementation: An Analysis of Emerging Market Strategy for Space-Optimizing Solutions Companies
    Abstract Innovative space-saving solutions have gained popularity in response to global population growth and increasing urban downsizing, yet consumer demand for effective and accessible products continues to outpace current offerings. A review of prior research indicates a gap in our understanding of how these consumer needs can be addressed through effective business strategy by organisations […]
    Eric Chang
    |
    July 31, 2026
  • Emotion Classification Using Natural Language Processing to Support Mental Health Awareness
    Aditya Arvind1, Robail Yasrab2 & Pramit Saha31 Northern Highlands Regional High School,2 University of Cambridge,3 University of Oxford. Abstract Stress, anxiety, and other emotional issues have become more prevalent in modern society. Mental health is a concern surfacing globally, impacting individuals across various demographics. These emotional issues often go unnoticed as people tend to overlook […]
    Aditya Arvind
    |
    July 31, 2026
  • Sustainable Multicomponent Synthesis of Methoxyaryl Substituted Tetrahydropyrans Using a Montmorillonite K10 Clay Catalyst
    Abstract A multicomponent reaction involves the combination of more than two reactants in a single “one-pot” process, where a new complex organic compound is synthesized. Multicomponent reactions provide an efficient and environmentally benign construction for many types of compounds. For the purpose of this study, a Montmorillonite K10 (Mont-K10) clay-catalyzed multicomponent reaction will be used […]
    Ritika Shah
    |
    July 30, 2026
  • Overcoming the U.S. Biofuel Deficit: Policy Reforms to Enable Latin American UCO Imports and Control Domestic Fuel Prices
    Abstract Recent disruptions in global biofuel markets, particularly China’s withdrawal from the U.S. used cooking oil (UCO) import market in 2025, have reshaped international supply chains and created a critical feedstock deficit in the United States. Applying an energy security framework and international trade policy analysis, this paper examines the feasibility of importing UCO from […]
    Gavin Vernon
    |
    July 30, 2026

Life Sciences ›

Health Sciences ›

  • Health Sciences, Public Health
    A Queueing Theory and Behavioral Analysis of Pre-Performance Stress in Marching Band Competitions
    Abstract  Marching band competitions require members to perform under pressure after long periods of time waiting before they start the first note of their performance. This study examines the competitive environment of marching band performance and its effects on performers’ emotional states. In particular, the waiting process before performance may influence how nervous, excited, or […]
    Jimin Choi
    |
    July 21, 2026

Physical Sciences ›

  • Physical Sciences, Physics
    A Comparison of the NFW and Isothermal Dark Matter Halo Models in the Andromeda Galaxy
    Abstract The core-cusp problem remains an important problem in the understanding of dark matter halo structures. This paper aims to use mixed tracer Zhang 2024 sources of the rotation curve of the Andromeda Galaxy (M31) to compare the cuspy Navarro-Frenk-White (NFW) and cored Isothermal dark matter density models. We model the galaxy using multiple functions […]
    Shourya Prakash
    |
    July 13, 2026

Computing, Data & AI ›

Engineering ›

  • Aerospace Engineering, Engineering
    Comparative Performance Analysis of Hollow and Annular Combustors in Rotating Detonation Engines
    Abstract Rotating detonation engines (RDEs) have emerged as a promising propulsion technology, offering superior thermodynamic efficiency over conventional Brayton-cycle engines due to their utilization of detonation combustion. Annular combustors (with inner and outer walls) are typically used in RDEs. However, hollow—lacking an inner wall—combustors are emerging as a promising alternative due to their potential mitigation […]
    Sidh Pandya
    |
    February 4, 2026

Earth & Environment ›

  • Earth & Environment, Environmental Science
    Global Classification of Ocean Microplastic Concentration Levels Using Machine Learning with Geo-Embeddings
    Abstract Microplastics are a global environmental concern with widespread impacts on marine ecosystems. Predicting oceanic microplastic concentration remains underexplored, as most machine-learning approaches focus on regional settings and rely on features not consistently available worldwide. We propose a global framework that uses universally available spatial inputs (latitude, longitude, ocean, month) augmented with 256-dimensional satellite-derived geo-embeddings. […]
    Ashwath Narayanan
    |
    July 13, 2026

Mathematics & Statistics ›

  • Mathematics, Mathematics & Statistics
    Numerical Exploration of HOBO vs. QUBO: Using Sudoku as a Benchmark
    Abstract Sudoku, with its complex combinatorial structure, provides a natural NP-hard benchmark for testing optimization models. In this study, we quantitatively compare Quadratic Unconstrained Binary Optimization (QUBO) and Higher-Order Binary Optimization (HOBO). While QUBO is compatible with quantum computers, it is often evaluated on classical simulators known as quantum simulators which calculates with tensor network […]
    Naoaki Mochida
    |
    February 24, 2026

Social Sciences, Humanities & Policy ›

  • Economics, Social Sciences, Humanities & Policy
    Climate, Wealth, and the Share of Roads that Are Bike Lanes Across Cities
    Abstract This paper explores how local climate is related to the creation of urban cycling systems. We examine an international sample of cities to establish whether such elements as temperature and precipitation are related to the degree of committed bike infrastructure. With the help of OpenStreetMap data, in the form of the OSMnx, and climate […]
    Meha Agrawal
    |
    July 16, 2026

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