Stresses in Bolt Head

The stress in bolt head is expected to be very high at the transition part of the cross section, which means the bolt connection has weak point in the part. We have tried to investigate the stress distribution by analytical and experimental methods as a case of two dimensional problem in a meridian plane. In the analytical consideration, we separate the domain into two parts, bolt head and shunk, and choose the stress functions suitable for the boundary conditions in each domain. The results of calculation show a little higher value compared with those found by experiments

Evaluation and prediction of solidification cracking susceptibilities of heat resistant magnesium alloys during die-casting and semi-solid injection process using in-situ observation method

広島大学(Hiroshima University)博士(工学)Engineeringdoctora

Decomposition of Sevoflurane by Sodalime

Stability of sevoflurane (fluoromethyl 2,2,2-trifluoro-1-(trifluoromethyl)ethyl ether), a new inhalational anesthetic, in sodalime was examined, and the products of their reaction were identified and quantitated. Five reaction products were identified: fluoromethyl 2,2-difluoro-1-(trifluoromethyl)vinyl ether, a dehydrofluorination product of sevoflurane which is contained as an impurity in sevoflurane preparations, fluoromethyl 2-methoxy-2,2-difluoro-1-(trifluoromethyl)ethyl ether, a methylation product of fluoromethyl 2,2-difluoro-1-(trifluoromethyl)vinyl ether and/or sevoflurane, fluoromethyl 2-methoxy-2,2-difluoro-1-(difluoromethylene)ethyl ether and two isomers of fluoromethyl 2-methoxy-2-fluoro-1-(trifluoromethyl)vinyl ether, dehydrofluorination products of fluoromethyl 2-methoxy-2,2-difluoro-1-(trifluoromethyl)ethyl ether. In a closed anesthetic circuit with sodalime connected to a model lung, fluoromethyl 2,2-difluoro-1-(trifluoromethyl)vinyl ether increased and reached a plateau. Fluoromethyl 2-methoxy-2,2-difluoro-1-(trifluoromethyl)ethyl ether increased linearly and other substances were detected only in a trace amount. In the semi-closed anesthetic circuit with sodalime supplied with 6 liters/min fresh gas flow, no reaction products were detected except fluoromethyl 2,2-difluoro-1- (trifluoromethyl)vinyl ether, which showed a maximum concentration of 2 and 4 ppm when the feeding concentration of sevoflurane was 1.7 and 2.7%, respectively. It is known that fluoromethyl 2,2-difluoro-1-(trifluoromethyl)vinyl ether is a weak anesthetic with AC_50 =3.58%, LC_50 =10.17% and AI=2.84. These results indicate that sevoflurane can be used with sodalime in a semi-closed anesthetic circuit.This study was supported in part by a Grant-in-aid for Science Research from the Ministry of Education, Science and Culture of Japan and a Grant-in-aid from the Association for the Advancement of Medicine of the Tsuchiya Foundation

Effect of Dietary Protein Restriction and Nutritional Assessment on Early-Stage Diabetic Nephropathy.

We evaluated the effects of a protein-limited diet on renal function, urinary albumin excretion and nutritional status of 16 patients with non-insulin dependent diabetes mellitus (11 males and 5 females, mean age 60.5 years) had a urinary albumin excretion rate of between 15 and 200μg/min and were c1assified into two groups : group Ⅰ patients were placed on a protein-limited diet (0.77g/kg/day), and group Ⅱ followed a conventional diabetic diet (1.33g/kg/day). After six months, the value of creatinine c1earance was significantly reduced in group Ⅰ, but urinary albumin excretion did not change in either group. Anthropometric measurements revealed no significant change in body weight, body mass index, arm circumference or triceps skinfold thickness in either group during the study period, but the arm musc1ec ircumference significantly increased in group Ⅰ. No significant differences were observed in either group with regard to serum level of protein, in c1uding total protein, albumin, prealbumin or transferrin, In conc1usion, a protein-limited diet was useful for prevention of diabetic nephropathy in patients with early-stage diabetic nephropathy

MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era

We introduce the first large-scale dataset, MNISQ, for both the Quantum and the Classical Machine Learning community during the Noisy Intermediate-Scale Quantum era. MNISQ consists of 4,950,000 data points organized in 9 subdatasets. Building our dataset from the quantum encoding of classical information (e.g., MNIST dataset), we deliver a dataset in a dual form: in quantum form, as circuits, and in classical form, as quantum circuit descriptions (quantum programming language, QASM). In fact, also the Machine Learning research related to quantum computers undertakes a dual challenge: enhancing machine learning exploiting the power of quantum computers, while also leveraging state-of-the-art classical machine learning methodologies to help the advancement of quantum computing. Therefore, we perform circuit classification on our dataset, tackling the task with both quantum and classical models. In the quantum endeavor, we test our circuit dataset with Quantum Kernel methods, and we show excellent results up to $97\%$ accuracy. In the classical world, the underlying quantum mechanical structures within the quantum circuit data are not trivial. Nevertheless, we test our dataset on three classical models: Structured State Space sequence model (S4), Transformer and LSTM. In particular, the S4 model applied on the tokenized QASM sequences reaches an impressive $77\%$ accuracy. These findings illustrate that quantum circuit-related datasets are likely to be quantum advantageous, but also that state-of-the-art machine learning methodologies can competently classify and recognize quantum circuits. We finally entrust the quantum and classical machine learning community the fundamental challenge to build more quantum-classical datasets like ours and to build future benchmarks from our experiments. The dataset is accessible on GitHub and its circuits are easily run in qulacs or qiskit.Comment: Preprint. Under revie