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Utilizing Knowledge of Physics in Safety Engineering
Any technician working in safety engineering needs certain knowledge of physics. This knowledge includes physical quantities and units of measurement, physical properties of substances, various formulae and equations, etc.
Jiri Svec, Radomir Scurek, Pavel Svec
doaj +1 more source
Textbook Of Engineering Physics
Chapter 1: Modern Physics Chapter 2: Quantum Mechanics Chapter 3: Electrical Conductivity in Metals Chapter 4: Dielectric and Magnetic Properties of Materials Chapter 5: Lasers Chapter 6: Optical Fibers and Superconductivity Chapter 7: Crystal Structures Chapter 8: Material ...
H. J. Ravindra, Sreeramana Aithal
openaire +3 more sources
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method [PDF]
Shahed Rezaei+4 more
semanticscholar +1 more source
TRIM24 and TRIM28 are androgen receptor (AR) coregulators which exhibit increased expression with cancer progression. Both TRIM24 and TRIM28 combine to influence the response of castrate‐resistant prostate cancer (CRPC) cells to AR inhibitors by mediating AR signalling, regulation of MYC and upregulating VEGF to promote angiogenesis. Castrate‐resistant
Damien A. Leach+8 more
wiley +1 more source
Diversified approaches and strategies for developing engineering thinking among students of pedagogical universities [PDF]
The relevance of this research lies in the need to train highly qualifi ed specialists with engineering thinking. These specialists are crucial for developing the country’s scientifi c and technical potential.
Shefer, Olga R.+3 more
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On ADE Quiver Models and F-Theory Compactification
Based on mirror symmetry, we discuss geometric engineering of N=1 ADE quiver models from F-theory compactifications on elliptic K3 surfaces fibered over certain four-dimensional base spaces.
A Belhaj+14 more
core +1 more source
Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner+6 more
wiley +1 more source
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source