Results 131 to 140 of about 29,039 (221)

Advancing cardiovascular screening: deep learning-based heart-sound classification using SMOTE and temporal modeling. [PDF]

Sci Rep
Ameen A, Eldesouky Fattoh I, Abd El-Hafeez T, Ahmed K.   +3 more
europepmc   +1 more source

Analysis and Optimization of Early‐Warning Indicators for Impact Critical Stress in Deep Soft Coal Seams

Energy Science &Engineering, EarlyView.
This study determines the impact critical stress early‐warning indicators for deep soft coal seams: 18 MPa (shallow holes), 20 MPa (deep holes), and 3 MPa/d daily stress change rate, via theoretical, experimental and simulation methods. ABSTRACT The accurate determination of early‐warning indicators for critical impact stress in deep soft coal seams is
Haichen Yin, Xiufeng Zhang, Atao Li, Yanliang Wang, Long Yuan, Chaohong Shi, Yang Chen, Caiping Lu, Liangjin Jiang   +8 more
wiley   +1 more source

Classification of Heart Sounds with Deep Learning

, 2018
Health care is becoming more and more digitalized and examinations of patients from a distance are closer to reality than fiction. One of these examinations would be to automatically classify a patient-recorded audiosegment of its heartbeats as healthy or pathological.
openaire   +1 more source

Trendelenburg positioning with or without norepinephrine infusion for haemodynamic support in anaesthetised hypovolemic horses

Equine Veterinary Journal, EarlyView.
Abstract Background Intraoperative haemorrhage during equine anaesthesia is a rare but potentially fatal complication requiring prompt haemodynamic support. Postural manoeuvres such as Trendelenburg (TL) positioning and vasopressor support augment venous return and improve cardiac output (CO), yet their efficacy in anaesthetised hypovolemic horses ...
Vaidehi V. Paranjape, Klaus Hopster, Ismar Lutvikadic, Bernd Driessen   +3 more
wiley   +1 more source

Heart Sound Classification with MFCCs and Wavelet Daubechies Analysis Using Machine Learning Algorithms. [PDF]

Diagnostics (Basel)
Guzman-Alfaro S, Villagrana-Bañuelos KE, Soto-Murillo MA, Galván-Tejada JI, Baltazar-Raigosa A, Garcia-Duran A, Celaya-Padilla JM, Acuña-Correa A.   +7 more
europepmc   +1 more source

Noni (Morinda citrifolia) Seed Oil: Phytochemical Composition, Bioactivity, and Emerging Applications in Food and Health

Food Chemistry International, EarlyView.
Noni seed oil from Morinda citrifolia, highlighting its bioactive composition, conventional and green extraction methods, and major stability challenges. Encapsulation strategies improve oxidative stability and bioavailability, along with potential applications in functional foods and cosmetics, and key barriers to large‐scale commercialization ...
Sumidha Palanisamy, Kanimozhi Viswanathan, Pavithra Radhakrishnan, Sonali Lini, Sukumar Muthusamy   +4 more
wiley   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Heart sound classification based on convolutional neural network with convolutional block attention module. [PDF]

Front Physiol
Huai X, Jiang L, Wang C, Chen P, Li H.
europepmc   +1 more source

Nonthermal Food Processing Technologies: A Comprehensive Review

Future Postharvest and Food, EarlyView.
The graphical abstract illustrates the shift from traditional thermal food preservation methods to advanced nonthermal technologies. Traditional methods, represented by heating, often compromise the nutritional and sensory quality of foods. In contrast, nonthermal approaches such as high‐pressure processing (HPP), pulsed electric field (PEF ...
Ashok Kumar Yadav, Dinesh Chandra Rai, Aman Rathaur, Hradesh Rajput, Sudhir Kumar, Zeenat Aman   +5 more
wiley   +1 more source

The Many Faces of Talent Management: Organizational Perspectives on Talent and Talent Management Practices in Jordan

Human Resource Development Quarterly, EarlyView.
ABSTRACT Talent management involves the systematic planning, acquisition, development, performance management, engagement, and retention of employees identified as “talent.” Little is known about the relationship between organizations' talent perspectives and talent management practices.
Amro Aljbour, Erica French, Muhammad Ali
wiley   +1 more source