On improving interoperability for cross‐domain multi‐finger fingerprint matching using coupled adversarial learning by Md Mahedi Hasan, Nasser Nasrabadi, Jeremy Dawson

“…In addition, the authors also introduce a multi‐finger score fusion network that significantly boosts interoperability by effectively utilising the multi‐finger input of the same subject for both cross‐domain and cross‐sensor settings.…”
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Diversity and Host Ranges of Whiteflies in Mekarsari Fruit Park, Bogor: a Comprehensive Study of 20 Whitefly Species Across 56 Fruit Plant Species by Purnama Hidayat, Nurjanah, Revhida Puspa Anisa

“…Mekarsari Fruit Park, situated in Bogor, boasts an extensive collection of 226 fruit species. …”
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«LAND OF CONFUSION»: QUANTUM PHYSICS IN IR THEORY? by T. A. Alekseeva, A. P. Mineyev, I. D. Loshkariov

“…Thought-provoking approach of Wendt boosts researching efforts within the field of political philosophy, world politics and international relations. …”
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Cloud-Based Transaction Fraud Detection: An In-depth Analysis of ML Algorithms by Ali Alhchaimi

“…Conclusion: ML, especially ensemble and boosting models like XGBoost and Random Forest, offers a strong approach to detecting transaction fraud in cloud-based financial systems. …”
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An Explicit Method for Estimating the Average Reservoir Pressure and Gas in Place Based on the Gas Property Polynomial Function by Lixia Zhang, Hao Jiang, Yong Li, Xinmin Song, Yang Li

“…The proposed methodology boasts its simpleness and practicability, which not only dispenses with iterations on pseudotime but also applies to various production systems of gas wells under constant BHP, constant rate, or variable BHP/variable rate conditions.…”
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Gasto en alimentos y bebidas fuera del hogar. El caso de México, 1992 y 2008 by Ignacio Llamas Huitrón, Humberto Armando Charles Leija, Gilberto Aboites Manrique

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Unveiling the amplified oxidase-mimetic activity of MnCoO nanosheets for the ultra-sensitive determination of the long-acting beta-adrenoceptor agonist indacaterol by Amal A. El-Masry, Heba Elmansi, Nahed El-Enany

“…In the current approach, we introduce a pioneering colorimetric detection approach for the sensitive quantitation of indacaterol using ultrathin MnCoO nanosheets with boosted oxidase-imitating properties. The nanosheets were synthesized under mild conditions through a one-step template-less simple hydrothermal process. …”
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Exclusive Cutaneous and Subcutaneous Sarcoidal Granulomatous Inflammation due to Immune Checkpoint Inhibitors: Report of Two Cases with Unusual Manifestations and Review of the Lit... by Narciss Mobini, Rummit Dhillon, Jason Dickey, Jordan Spoon, Kaviyon Sadrolashrafi

“…Recent emergence of immune checkpoint inhibitors (ICIs) has revolutionized the treatment of cancers and produced prolonged response by boosting the immune system against tumor cells. The primary target antigens are cytotoxic T-lymphocyte-associated antigen-4 (CTLA-4), a downregulator of T-cell activation, and programmed cell death-1 receptor (PD-1), a regulator of T-cell proliferation. …”
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Bayesian neural network modelling for estimating ecological footprints and blue economy sustainability across G20 nations by Muhammad Akhtar, Jian Xu, Umair Kashif, Kishwar Ali, Hafiz Muhammad Naveed, Muhammad Haris

“…Oceans provide both solutions and boosts to a sustainable environment and economy, given the growing need for resources to accomplish the global food, water, and energy nexus and the rapid reduction in land-based supplies. …”
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Optimal location selection for digital television signal booster towers in poorly covered areas: application of the EDIS multi-criteria decision-making method by Mehdi Soltanifar

“…The method considers various cost and benefit criteria, including annual maintenance cost, tower price, signal sensitivity and boosting power, unmet quality standards, operator complexity level, and interference resistance, to determine the most suitable locations for tower placement.Findings: The application of the EDIS method to a real-world case study demonstrates significant improvements in decision-making accuracy and efficiency over existing methods, offering enhanced support for optimal decision-making in the placement of digital television signal booster towers.Originality/Value: The proposed EDIS method presents a novel multi-criteria decision-making tool that combines innovative features with advanced optimization capabilities. …”
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Comparison of Different Machine Learning Methodologies for Predicting the Non‐Specific Treatment Response in Placebo Controlled Major Depressive Disorder Clinical Trials by Roberto Gomeni, Françoise Bressolle‐Gomeni

“…At this purpose, six machine learning methodologies (gradient boosting machine, lasso regression, logistic regression, support vector machines, k‐nearest neighbors, and random forests) were compared to the multilayer perceptrons artificial neural network (ANN) methodology for predicting the probability of individual non‐specific treatment response. …”
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Advancements and Challenges of Vacuum‐Processed Organic Photodiodes: A Comprehensive Review by Chan So, Won Jun Pyo, Dae Sung Chung

“…Organic photodiodes (OPDs) have made remarkable strides and now poised to surpass traditional silicon photodiodes (PDs) in various aspects including linear dynamic range (LDR), detectivity, wavelength selectivity, and versatility.[1] Tunable mechanical and optoelectronic properties of organic semiconductors, coupled with lower process costs, have propelled OPDs into the spotlight across fields such as wearable light fidelity systems, flexible image sensors, and biomedical imaging.[2–5] While most advanced organic imaging systems to date rely on polymer‐based solution processes, challenges such as the use of toxic organic solvents and reproducibility issues hinder their commercialization.[6,7] Vacuum‐processed OPDs offer a promising alternative, boasting eco‐friendliness and compatibility with large‐scale fabrication facilities.[8,9] In this review, recent advancements and challenges in vacuum‐processed OPDs, an area that has received less attention compared to solution‐processed counterparts, are explored. …”
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Advanced machine learning approach with dynamic kernel weighting for accurate electrical load forecasting by C. Jeevakarunya, V. Manikandan

“…In terms of performance, the study assesses the effectiveness of EDW-MKSVR models against those of boosted tree, random forest regression, K-nearest neighbor, support vector regression, and long short term memory. …”
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The Influence of Data Length on the Performance of Artificial Intelligence Models in Predicting Air Pollution by Mohamed Khalid AlOmar, Faidhalrahman Khaleel, Abdulwahab Abdulrazaaq AlSaadi, Mohammed Majeed Hameed, Mohammed Abdulhakim AlSaadi, Nadhir Al-Ansari

“…In this study, three artificial intelligence (AI) approaches, namely group method of data handling neural network (GMDHNN), extreme learning machine (ELM), and gradient boosting regression (GBR) tree, are used to predict the hourly concentration of PM2.5 over a Dorset station located in Canada. …”
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Machine Learning-Based Diabetes Risk Prediction Using Associated Behavioral Features by Ayodeji O. J. Ibitoye, Joseph D. Akinyemi, Olufade F. W. Onifade

“…These top-15 feature pairs were fed into five different ML models (decision tree (DT), neural networks (NN), random forest (RF), support vector machine (SVM) and extreme gradient boosting (XGB)) for predicting the likelihood of diabetes, while also feeding the direct features (without correlated pairing) separately into the same 5[Formula: see text]ML models. …”
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THE METHOD OF DESIGNING HYDRAULIC DRIVES ON THE EXAMPLE OF A HYDRAULIC DRIVE OF A LIFTING-MAST DEVICE by S. A. Smirnov, N. A. Gorshkova

“…The principle and design schemes of the hydraulic drive are chosen, and a mathematical model is compiled on the basis of the requirements for hoisting and mast devices. A simulation model of the drive is developed on the basis of the mathematical model, consisting of several separate parts connected together. …”
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Enhancement of postharvest performance in Lilium tigrinum Ker Gawl flowers with Salicylic acid: a signalling molecule and a growth regulator by Moonisah Aftab, Haris Yousuf Lone, Wajahat Waseem Tantray, Aijaz A. Wani, Mohmad Arief Zargar, Inayatullah Tahir

“…This protective effect was achieved by boosting the reactive oxygen species (ROS) scavenging capacity, evidenced by increased total phenolic content and elevated activities of antioxidant enzymes such as superoxide dismutase (SOD), catalase (CAT) and ascorbate peroxidase (APX). …”
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Employing visual thinking skills in the techniques of advertising art by Bydaa Sabih Al-Gharawi

“…The conclusions showed that there is a positive relation of statistical indication between visual thinking skills and teaching the subject of advertisement art techniques in a balanced form which helped on boosting concept abilities in the way that fits with art learner. …”
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NIGERIA'S FOREIGN POLICY AND TRANSBORDER CRIME: AN OVERIEW by OWUDA RASHIDA LAMIDI

“…The dissemination of weaponry by criminal trafficking networks boosts insurgent factions. Nigeria works with neighbours and friends to stop the spread of weapons and fight terrorism. …”
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Transcending the urban–rural dichotomy: inequality in urban green space availability among urban neighbourhoods, urban villages and rural villages in Guangzhou, China by Fubin Luo, Yunzheng Zhang, Luyang Zhang

“…We first explored the inequality in UGS availability among UN, UV and RV by employing the Gini and Theil indices and then used the eXtreme Gradient Boosting (XGBoost) model and the SHapley Additive exPlanation (SHAP) explainer to elucidate the intricate association between neighbourhood socioeconomic statuses and UGS availability from a local perspective. …”
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