Results 131 to 140 of about 477,090 (229)

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Ultrafast time‐resolved X‐ray absorption spectroscopy at FemtoMAX beamline

Journal of Synchrotron Radiation, EarlyView.
A new setup for femtosecond resolution X‐ray absorption spectroscopy with energy ranging from 2 to 15 keV is established.We report on the development and first experiments at a new X‐ray absorption spectroscopy (XAS) endstation at the FemtoMAX beamline of the MAX IV Laboratory.
Van-Thai Pham, Katharina Kubicek, Ahn Byungnam, Carl Ekström, David Kroon, Zhangatay Nurekeyev, Mohammed Sekkal, Axl Eriksson, Hyein Hwang, Anna Zymaková, Thanh Binh Nguyen, Minh-Huong Ha-Thi, Xuan Thang Vu, Yohei Uemura, Jörgen Larsson, Christian Bressler, Jens Uhlig   +16 more
wiley   +1 more source

Optimal deep learning activity recognition pipeline using animal bio‐logging data

Methods in Ecology and Evolution, EarlyView.
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley   +1 more source

Opium Cultivation Imperilling Endangered Species in Northern Laos

Animal Conservation, EarlyView.
To avoid government eradication efforts, farmers in northeastern Laos shifted opium cultivation deep into a national park, causing a > 1000% increase in protected forest cleared for the crop between 2018 and 2022. This displacement directly threatened endangered species like white‐cheeked gibbons, elephants, and dholes by causing a rise in hunting ...
Jay White, Khamphui Invixay, Akchousanh Rasphone, Vincent Nijman   +3 more
wiley   +1 more source

Association of bi‐parametric MRI measures with continence after robot‐assisted radical prostatectomy

BJU International, Volume 135, Issue 4, Page 603-610, April 2025.
Objective To investigate the association between pre‐ and postoperative magnetic resonance imaging (MRI) measurements of the membranous urethra and the prostate volume and continence following robot‐assisted radical prostatectomy (RARP). Patients and Methods From December 2018 to June 2022, 100 continent patients undergoing unilateral nerve‐sparing or ...
Alexander B. Nolsøe, Vibeke Løgager, Lars Boesen, Peter Busch Østergren, Henrik Jakobsen, Christian Fuglesang S. Jensen, Niels Henrik Bruun, Jens Sønksen, Mikkel Fode   +8 more
wiley   +1 more source

Splatshop: Efficiently Editing Large Gaussian Splat Models

Computer Graphics Forum, EarlyView.
Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz, Christoph Peters, Florian Hahlbohm, Elmar Eisemann, Marcus Magnor, Michael Wimmer   +5 more
wiley   +1 more source

Pancreaticogastrostomy: Effect of Partial Gastrectomy on the Pancreatic Stump in Rabbits [PDF]

To assess the influence of digestive juice on the pancreatic stump when pancreaticogastrostomy was performed after pancreatoduodenectomy, the pancreatic stump was anastomosed to the intact stomach (group I), the stomach after partial gastrectomy (group ...
Orita, Kunzo, Nakagawa, Koichi, Tsugu, Hiromu   +2 more
core  

Fabrication of Artificial Nerve Conduits Used in a Long Nerve Gap: Current Reviews and Future Studies

Bioengineering
There are many commercially available artificial nerve conduits, used mostly to repair short gaps in sensory nerves. The stages of nerve regeneration in a nerve conduit are fibrin matrix formation between the nerve stumps joined to the conduit, capillary
Ryosuke Kakinoki, Yukiko Hara, Koichi Yoshimoto, Yukitoshi Kaizawa, Kazuhiko Hashimoto, Hiroki Tanaka, Takaya Kobayashi, Kazuhiro Ohtani, Takashi Noguchi, Ryosuke Ikeguchi, Masao Akagi, Koji Goto   +11 more
doaj   +1 more source

Update on innovative surgical techniques for omphalectomy in foals

Equine Veterinary Education, EarlyView.
Summary Umbilical infection is a common foal disorder, prone to complications, requiring surgical excision in severe cases. Timely surgical excision is the treatment of choice in these cases, as the infected umbilicus places the foal at risk for further fatal complications, such as sepsis and septic arthritis.
O. Haion, A. J. Tatz, R. Dahan, G. Kelmer   +3 more
wiley   +1 more source