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Predicting land use and land cover changes for sustainable land management using CA-Markov modelling and GIS techniques

Zainab Tahir, Muhammad Haseeb, Syed Amer Mahmood, Saira Batool et al. • Scientific Reports (2025)

Abstract This study addresses the significant issue of rapid land use and land cover (LULC) changes in Lahore District, which is critical for supporting ecological management and sustainable land-use planning. Understanding these changes is...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-87796-w

Effectiveness and cost-effectiveness of community perinatal mental health services on access, experience, recovery/relapse and obstetric and neonate outcomes: the ESMI-II mixed-methods study

Heather O’Mahen, Louise Howard, Helen Sharp, Antoinette Davey et al. • Health and Social Care Delivery Research (2025)

Background Perinatal mental health disorders affect one in five mothers during pregnancy or within 2 years post childbirth. These disorders can lead to poor pregnancy and childbirth outcomes and maternal deaths. Additionally, they negativel...

DOAJ Open Access (DOAJ) DOI: 10.3310/RRAP0011

Bankruptcy Prediction, Financial Distress and Corporate Life Cycle: Case Study of Central European Enterprises

Lucia Michalkova, Olga Ponisciakova • Administrative Sciences (2025)

Businesses are influenced by the cyclical nature of economic development and distinct stages in the corporate life cycle. Accurate early-warning mechanisms are crucial to mitigating bankruptcy risk, enabling timely rescue measures. This art...

DOAJ Open Access (DOAJ) DOI: 10.3390/admsci15020063

On prediction in political science

Keith M. Dowding, Charles Miller • European Journal of Political Research (2019)

Abstract This article discusses recent moves in political science that emphasise predicting future events rather than theoretically explaining past ones or understanding empirical generalisations. Two types of prediction are defined: pragma...

OPENALEX DOI: https://doi.org/10.1111/1475-6765.12319

Artificial intelligence for pediatric height prediction using large-scale longitudinal body composition data

Dohyun Chun, Hae Woon Jung, Jongho Kang, Woo Young Jang et al. • Digital Health (2025)

Objective We developed a precise, reliable artificial intelligence (AI) model for predicting the future height of children and adolescents based on anthropometric and body composition data. Materials and Methods We used an extensive longitu...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076251395975

Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan

Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid et al. • ISPRS International Journal of Geo-Information (2024)

While socioeconomic gradients in regional health inequalities are firmly established, the synergistic interactions between socioeconomic deprivation and climate vulnerability within convenient proximity and neighbourhood locations with heal...

DOAJ Open Access (DOAJ) DOI: 10.3390/ijgi13090330

Predicting Water Flux in Forward Osmosis with Unknown Feed Solution Composition: An Empirical Approach Based on Thermodynamical Properties

Bastian Greisner, Dieter Mauer, Frank Rögener, André Lerch • Membranes (2023)

This study investigated the predictability of forward osmosis (FO) performance with an unknown feed solution composition, which is important in industrial applications where process solutions are concentrated but their composition is unknow...

DOAJ Open Access (DOAJ) DOI: 10.3390/membranes13040427

Prognostic techniques for aeroengine health assessment and Remaining Useful Life estimation

Caricato A., Ficarella A., Chiodo L. Spada • E3S Web of Conferences (2021)

Predictive maintenance is the latest frontier in the management and maintenance of many industrial assets, including aeroengines. Made possible by last decades advances in monitoring equipment and machine learning algorithms, it permits ind...

DOAJ Open Access (DOAJ) DOI: 10.1051/e3sconf/202131211017

Charlson comorbidity index has no incremental value for mortality risk prediction in nursing home residents with COVID-19 disease

Anum Zahra, Maarten van Smeden, Petra J. M. Elders, Jan Festen et al. • BMC Geriatrics (2025)

Abstract Background During the COVID-19 pandemic, nursing home (NH) residents faced the highest risk of severe COVID-19 disease and mortality. Due to their frailty status, comorbidity burden can serve as a useful predictive indicator of vul...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12877-025-05721-2

Los nevados del Aconquija como sitio de frontera y espacio de observación lunar, Tucumán, noroeste de Argentina

Ricardo Fernando Moyano Vasconcellos, Martín Gustavo Díaz • Estudios Atacameños (2015)

Se presentan los aspectos sociales vinculados al concepto de frontera, el ushnu y la observación lunar en el sitio inca de La Ciudacita, provincia de Tucumán, noroeste de Argentina. El análisis se centra en la posibilidad de observar el lun...

DOAJ Open Access (DOAJ)

Machine Learning–Based Prediction of Organic Solar Cell Performance Using Molecular Descriptors

Mohammed Saleh Alshaikh • International Journal of Emerging Research in Engineering, Science, and Management (2025)

The performance of Organic Solar Cells (OSCs) is intrinsically linked to the molecular, electronic, and structural properties of donor and acceptor materials. This study employs various machine learning techniques, namely the Generalized Re...

DOAJ Open Access (DOAJ) DOI: 10.58482/ijeresm.v4i4.4

Predicting Method for Lining External Water Pressure Reduction Coefficient Based on Equivalent Stable Drainage Volume Principle

GAO Xin, FENG Shijie, ZHANG Lianqing • Chengshi guidao jiaotong yanjiu (2025)

[Objective] By establishing a numerical seepage analysis model that aligns with real drainage systems and introducing the concept of a ′virtual permeability coefficient′ for secondary lining, the objective is to delve into the correlation b...

DOAJ Open Access (DOAJ) DOI: 10.16037/j.1007-869x.2025.03.050

The Effectiveness of Simultaneous Training of Various Executive Functions (Hot and Cool; Focused on Simultaneous Parent-Child Training) on Improving the Empathy of Children with Attention Deficit Hyperactivity Disorder (ADHD)

Seyyedeh Zahra Seyyed Noori, abbasali hossein khanzadeh, Abbas Abolghasemi, Iraj Shakerinia • Ravānshināsī-i Afrād-i Istis̠nāyī (2025)

The present study aimed to effectiveness of simultaneous training of various executive functions (hot and cool; focused on simultaneous parent-child training) on improving the empathy of children with attention deficit hyperactivity disorde...

DOAJ Open Access (DOAJ) DOI: 10.22054/jpe.2022.64115.2382

The Positioning Different Types of Personality Resourcefulness in the Coordinates of "against-and-owing to"

Олена Штепа • Проблеми сучасної психології (2022)

The aim of the article was to establish the nature of the relationship between the types of resourcefulness of a personality based on empirical data. Methods. In the empirical study, the psychological survey methods were used, as well as ...

DOAJ Open Access (DOAJ) DOI: 10.32626/2227-6246.2022-55.173-193

Predicting High-Risk Behaviors based on Positive Youth Development and Positive Psychological Capital in Adolescents

Saereh Barahoyi, Mahmoud Najafi, Siavash Tale’pasand • Research on Addiction (2023)

Objective: The present research aimed to predict high-risk behaviors based on positive youth development and positive psychological capital in adolescents. Method: This study was descriptive-correlational. The statistical population consist...

DOAJ Open Access (DOAJ)