Private equity renewable energy investments in India by Hemi H. Gandhi, Bram Hoex, Brett Jason Hallam

“…India will have to attract around $400 billion in financing to realize its 500 GW target of renewable energy by 2030. Given complex renewable energy sector risks, rapidly scaling-up risk-friendly private equity financing will be critical to achieve India's target. …”
Get full text

LoRA fine-tuning of Llama3 large model for intelligent fishery field by Yao Song, Chunli Lv, Kun Zhu, Xiaobin Qiu

“…In terms of challenges, further research is needed on how to optimize the model structure, expand the fishery datasets, improve the model generalization ability, and cope with the complex and changing environment in the fishery field.…”
Get full text

Role of physiotherapy in supporting recovery from breast cancer treatment: a qualitative study embedded within the UK PROSPER trial by Julie Bruce, Sophie Rees, Esther Williamson, Helen Richmond, Bruno Mazuquin

“…Lessons were learnt about the implementation of a complex exercise intervention for women with breast cancer, and the issues raised will inform the development of a future implementation strategy.Conclusions A physiotherapist-delivered early supported exercise intervention with integrated behavioural strategies helped women at risk of shoulder problems following breast cancer treatment to feel more confident in their ability to mobilise their arm post-surgery. …”
Get full text

Fields2Benchmark: An open-source benchmark for coverage path planning methods in agriculture by Gonzalo Mier, Ana María Casado Faulí, João Valente, Sytze de Bruin

“…Results demonstrate its ability to handle complex field geometries, compare algorithms effectively, and evaluate computational performance. …”
Get full text

Machine Learning with Administrative Data for Energy Poverty Identification in the UK by Lin Zheng, Eoghan McKenna

“…Yet due to their reliance on complex, time-intensive data collection processes and estimations, these indicators are not suitable for identifying energy poverty in specific households. …”
Get full text

Analyzing and Predicting the Agronomic Effectiveness of Fertilizers Derived from Food Waste Using Data-Driven Models by Ksawery Kuligowski, Quoc Ba Tran, Chinh Chien Nguyen, Piotr Kaczyński, Izabela Konkol, Lesław Świerczek, Adam Cenian, Xuan Cuong Nguyen

“…These findings highlight machine learning’s ability to analyze complex datasets, improve agricultural decision-making, and optimize food waste utilization.…”
Get full text

CGD-CD: A Contrastive Learning-Guided Graph Diffusion Model for Change Detection in Remote Sensing Images by Yang Shang, Zicheng Lei, Keming Chen, Qianqian Li, Xinyu Zhao

“…However, most SSL algorithms for CD in remote sensing image rely on convolutional neural networks with fixed receptive fields as their feature extraction backbones, which limits their ability to capture objects of varying scales and model global contextual information in complex scenes. …”
Get full text

Prediction of Seawater Intrusion Run-Up Distance Based on <i>K</i>-Means Clustering and ANN Model by Jiatao Li, Zhenzhu Meng, Junkang Zhang, Yukai Chen, Jiewen Yao, Xinyue Li, Peng Qin, Xian Liu, Chunmei Cheng

“…The model’s performance is demonstrated through a high <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> value of 0.97 and low mean squared error (MSE) of 0.0092, surpassing traditional ANN models in its ability to capture complex wave dynamics.…”
Get full text

Assessment of Functional Capacity of Immune System in Patients with Multiple Sclerosis using QuantiFERON Monitor by Zbysek Pavelek, Ondrej Soucek, Jan Krejsek, Ilona Sejkorova, Oldrich Vysata, Blanka Klimová, Francesco Angelucci, Pavel Stourac, Martin Valis, Marek Peterka, Lukáš Sobisek, Michal Novotny

“…This result was also confirmed by a validation analysis to exclude impact of variable factors, such as disease duration and Expanded Disability Status Scale scores. …”
Get full text

Aquaporin genes in garden pea and their regulation by the nano-antioxidant fullerol in imbibing embryos under osmotic stress by Arun Kumar Pandey, Ting Sun, Xinyang Wu, Zhuoyi Wang, Rujia Jiang, Peipei Zhang, Pingping Fang, Pei Xu

“…In particular, PsNIP2-2-2 was identified with a Gly-Ser-Gly-Arg (GSGR) selective filter that indicates the ability to uptake silicon. Analysis of tissue transcriptomes revealed preferred expressions of certain PsAQPs in the underground, aerial and reproductive organs, respectively. …”
Get full text

Differential memory enrichment of cytotoxic CD4 T cells in Parkinson’s disease patients reactive to α-synuclein by Antoine Freuchet, Emil Johansson, April Frazier, Irene Litvan, Jennifer G. Goldman, Roy N. Alcalay, David Sulzer, Cecilia S. Lindestam Arlehamn, Alessandro Sette

Get full text

THE PROPOSAL MODEL OF RATIONAL WORKFORCE ASSIGNMENT IN DOKUZ EYLUL UNIVERSITY BY ANALYTIC HIERARCHY PROCESS BASED 0-1 INTEGER PROGRAMMING by Yılmaz GÖKŞEN, Hakan AŞAN, Onur DOĞAN, Mustafa ÜNLÜ, Osman PALA

“…Nowadays, creativity, innovation and ability can be added to these. Competition is intense both in private and public sectors. …”
Get full text

Boosting Cyberattack Detection Using Binary Metaheuristics With Deep Learning on Cyber-Physical System Environment by Alanoud Al Mazroa, Fahad R. Albogamy, Mohamad Khairi Ishak, Samih M. Mostafa

“…By leveraging the integral ability of DL methods to learn complex representations, this technique enhances the accuracy and efficiency of detecting diverse and growing cyber-attacks. …”
Get full text

Construction of Q&A methods based on knowledge graphs and large language models-improving the accuracy of landscape pest and disease Q&A by Zhixin Gu, Ting Long, Shuairan Wang, Xiaowei Shang, Weizheng Shen, Xiaoli Wei, Kaihong Xu

“…Large language models have garnered significant attention for their ability to understand user intent and provide answers. …”
Get full text

BCTDNet: Building Change-Type Detection Networks with the Segment Anything Model in Remote Sensing Images by Wei Zhang, Jinsong Li, Shuaipeng Wang, Jianhua Wan

“…BCTDNet’s effectiveness and robustness in complex urban scenarios highlight its potential for applications in land-use analysis and urban planning.…”
Get full text

Electrolyte-Plasma Treatment in Controlled Pulse Modes by A. Yu. Korolyov, Yu. G. Aliakseyeu, V. S. Niss, A. E. Parshuto

“…The advantages of EPT are a high intensity of smoothing of microroughnesses, the use of low-concentration salt solutions  as electrolytes, and the ability to process items of complex shape. The main disadvantage of the method is its high energy consumption; therefore, the method сan be classified as energy-intensive production. …”
Get full text

Advancing Self-Social Engineering in Tourism-Related Environmental Management: Integrating Environmental Psychology, Planned Behavior, and Norm Activation Theories by Laila Refiana Said, Fifi Swandari, Sufi Jikrillah, Sausan Sausan, Fathia Azizah

“…These findings highlight pro-environmental behavior’s complex and context-dependent characteristics, underscoring the importance of adopting integrated approaches considering individual and situational factors. …”
Get full text

Accurate Spatial Heterogeneity Dissection and Gene Regulation Interpretation for Spatial Transcriptomics using Dual Graph Contrastive Learning by Zhuohan Yu, Yuning Yang, Xingjian Chen, Ka‐Chun Wong, Zhaolei Zhang, Yuming Zhao, Xiangtao Li

“…Benchmarking stDCL against other state‐of‐the‐art clustering methods using complex cortex datasets demonstrates its superior accuracy and effectiveness in identifying spatial domains. …”
Get full text

Application of Kolmogorov-Arnold network (KAN) for solitary-Peakon investigation of Lax model by Muhammad Wajahat Anjum, Sana Ullah Saqib, Yin-Tzer Shih, Israr Ul Hassan, Adnan, Ines Hilali Jaghdam, Mouloud Aoudia, Lioua Kolsi

“…Although KANs provide an approximation for solving the KdV-Lax equation, their ability to tackle complex problems makes them a viable choice when an analytical solution is not possible. …”
Get full text

Association mapping and genomic prediction for processing and end‐use quality traits in wheat (Triticum aestivum L.) by Harsimardeep S. Gill, Emily Conley, Charlotte Brault, Linda Dykes, Jochum C. Wiersma, Katherine Frels, James A. Anderson

“…In addition, a putative novel multi‐trait association was identified on chromosome 6AL, and candidate gene analysis revealed eight genes of interest. Further, genomic prediction had a high predictive ability (PA) for mixograph and farinograph traits, with PA up to 0.62 and 0.50 in cross‐validation and forward prediction, respectively. …”
Get full text