Results 101 to 110 of about 12,139 (206)

Boron Neutron Capture Therapy at a Crossroads: Translational Gap and Emerging Delivery Agents

Chemistry – A European Journal, Volume 32, Issue 17, 5 May 2026.
This review surveys recent advances in boron delivery agents for BNCT, emphasizing the shift from classical small molecules to multifunctional nanocarriers and theranostic systems. By integrating targeting, imaging, and therapy, next‐generation boron compounds aim to bridge the gap between (bio)chemical innovation and clinical translation.
Christoph Selg, Evamarie Hey‐Hawkins
wiley   +1 more source

A Comprehensive Review of Traditional and Machine Learning‐Assisted Diffuse Optical Spectroscopy and Imaging Techniques for Dermatological Applications

Advanced Photonics Research, Volume 7, Issue 5, May 2026.
This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain, Li Xiuting, Randall Ang Jie, Keertana Vinod Ram, Mark Teo Ju Teng, Valerie Xinhui Teo, Malini Olivo, U. S. Dinish   +7 more
wiley   +1 more source

Quantifying the climatic influence on Lassa fever incidences in six high-risk Nigerian states using multilinear regression and generalized additive models

Discover Public Health
Introduction Lassa fever, a viral hemorrhagic disease endemic to West Africa, presents significant public health challenges due to its environmental sensitivity and high mortality rate.
Ibiyinka Fuwape, Samuel Ogunjo, Funmilayo Erinfolami, Olugbenga Osunmakinwa, Opeyemi Ajanaku, Aderonke Akerele, Adetoun Akinlami, Joshua Akinsusi, Josephine Olayinka-Olagunju, Olayinka Asubiaro   +9 more
doaj   +1 more source

Role of constrained modulus in predicting resilient modulus of RAP-included granular materials via ML and conventional methods

Results in Engineering
Conventional regression and modern machine learning (ML) models were developed and evaluated to estimate the resilient modulus (MR) of unbound granular materials.
Muhammad Arshad, Muhammad Zaka Emad
doaj   +1 more source

EEG data classification using multilinear regression model

, 2020
Beyin Bilgisayar Arayüzleri (BCI), kişilerin, sinir sistemlerini kullanmaksızın,elektromekanik veya nöroprostetik bir cihazı bilgisayar yardımıyla denetlemelerini sağlayan sistemlerdir. Kafaderisi üzerine yerleştirilen elektrotlardan elde edilen ve Elektroansefalogram (EEG) adı verilen elektriksel kayıtlar sayesinde beyin dokuları hakkındabilgi ...
openaire   +1 more source

Monitoring of haematopoietic stem cell mobilization by targeted DNA methylation analysis for the British Journal of Haematology

British Journal of Haematology, EarlyView.
Wouter H. G. Hubens, Anke Diehlmann, Patrick Wuchter, Wolfgang Wagner   +3 more
wiley   +1 more source

Maize responses to planting date and seasonal weather factors in central Texas

Agronomy Journal, Volume 118, Issue 3, May/June 2026.
Abstract Maize (Zea mays L.) productivity in Central Texas is highly vulnerable to erratic rainfall and high temperatures during the growing season. Optimizing planting date is therefore essential for maximizing grain yield under these challenging climatic conditions.
Bala Ram Sapkota, Gurjinder S. Baath, Kabindra Adhikari, Chad Hajda, K. Colton Flynn, Douglas R. Smith, Ronnie W. Schnell, Seth C. Murray   +7 more
wiley   +1 more source

Prediction distribution of generalized geometric series distribution and its different forms [PDF]

, 2009
The prediction distribution of generalized geometric series distribution (GGSD) and of its truncated and size-biased forms is derived and studied under the non-informative and beta prior distributions.
Hassan, Anwar, Khan, Shahjahan
core   +1 more source

Predicting solar cell efficiencies using historical data from a manufacturing process

The Canadian Journal of Chemical Engineering, Volume 104, Issue 5, Page 2401-2415, May 2026.
Abstract The solar cell manufacturing data of a passivated emitter and rear cell solar cell manufacturing plant was studied to assess the effects of tool usage and the processing time spent on each tool on the solar cell efficiency. Since manufacturing processes involve several steps with multiple tools, tracing their quality parameters back to the ...
Sushmita Mittra, Vinay Prasad
wiley   +1 more source

Comparative study of oil palm productivity estimation models: multilinear regression and holt-winters approach

IOP Conference Series: Earth and Environmental Science
Abstract Oil palm plays a crucial role in Indonesia’s economy through the increased production and export of oil palm. However, managing and predicting productivity in expanding oil palm plantations presents significant challenges. Current estimation methods are resource-intensive and time-consuming.
I K Sari, null Liyantono, M Solahudin
openaire   +1 more source