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https://www.readbyqxmd.com/read/29772670/ann-surface-roughness-optimization-of-az61-magnesium-alloy-finish-turning-minimum-machining-times-at-prime-machining-costs
#1
Adel Taha Abbas, Danil Yurievich Pimenov, Ivan Nikolaevich Erdakov, Mohamed Adel Taha, Mahmoud Sayed Soliman, Magdy Mostafa El Rayes
Magnesium alloys are widely used in aerospace vehicles and modern cars, due to their rapid machinability at high cutting speeds. A novel Edgeworth⁻Pareto optimization of an artificial neural network (ANN) is presented in this paper for surface roughness ( Ra ) prediction of one component in computer numerical control (CNC) turning over minimal machining time ( Tm ) and at prime machining costs ( C ). An ANN is built in the Matlab programming environment, based on a 4-12-3 multi-layer perceptron (MLP), to predict Ra , Tm , and C , in relation to cutting speed, vc , depth of cut, ap , and feed per revolution, fr ...
May 16, 2018: Materials
https://www.readbyqxmd.com/read/29734666/cardiac-arrhythmia-classification-by-multi-layer-perceptron-and-convolution-neural-networks
#2
Shalin Savalia, Vahid Emamian
The electrocardiogram (ECG) plays an imperative role in the medical field, as it records heart signal over time and is used to discover numerous cardiovascular diseases. If a documented ECG signal has a certain irregularity in its predefined features, this is called arrhythmia, the types of which include tachycardia, bradycardia, supraventricular arrhythmias, and ventricular, etc. This has encouraged us to do research that consists of distinguishing between several arrhythmias by using deep neural network algorithms such as multi-layer perceptron (MLP) and convolution neural network (CNN)...
May 4, 2018: Bioengineering
https://www.readbyqxmd.com/read/29733940/a-fresh-look-at-functional-link-neural-network-for-motor-imagery-based-brain-computer-interface
#3
Imali T Hettiarachchi, Toktam Babaei, Thanh Nguyen, Chee P Lim, Saeid Nahavandi
BACKGROUND: Artificial neural networks (ANN) is one of the widely used classifiers in the brain computer interface (BCI) systems-based on noninvasive electroencephalography (EEG) signals. Among the different ANN architectures, the most commonly applied for BCI classifiers is the multilayer perceptron (MLP). When appropriately designed with optimal number of neuron layers and number of neurons per layer, the ANN can act as a universal approximator. However, due to the low signal-to-noise ratio of EEG signal data, overtraining problem may become an inherent issue, causing these universal approximators to fail in real-time applications...
May 4, 2018: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29730048/identifying-%C3%AE-thalassemia-carriers-using-a-data-mining-approach-the-case-of-the-gaza-strip-palestine
#4
Alaa S AlAgha, Hossam Faris, Bassam H Hammo, Ala' M Al-Zoubi
Thalassemia is considered one of the most common genetic blood disorders that has received excessive attention in the medical research fields worldwide. Under this context, one of the greatest challenges for healthcare professionals is to correctly differentiate normal individuals from asymptomatic thalassemia carriers. Usually, thalassemia diagnosis is based on certain measurable characteristic changes to blood cell counts and related indices. These characteristic changes can be derived easily when performing a complete blood count test (CBC) using a special fully automated blood analyzer or counter...
May 2, 2018: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/29727810/ptsd-in-women-is-associated-with-a-block-in-conversion-of-progesterone-to-the-gabaergic-neurosteroids-allopregnanolone-and-pregnanolone-measured-in-plasma
#5
S L Pineles, Y I Nillni, G Pinna, J Irvine, A Webb, K A Arditte Hall, R Hauger, M W Miller, P A Resick, S P Orr, A M Rasmusson
There is a need to identify new and more effective treatments for posttraumatic stress disorder (PTSD). Allopregnanolone and its stereoisomer pregnanolone (together termed ALLO) are metabolites of progesterone that positively and allosterically modulate GABA effects at GABAA receptors, thereby reducing anxiety and depression. Previous research revealed that women with PTSD had low cerebrospinal fluid (CSF) ALLO levels and a low ratio of ALLO to the allopregnanolone precursor 5α-DHP, consistent with deficient activity of the ALLO synthetic enzyme 3α-hydroxysteroid dehydrogenase (3α-HSD)...
April 24, 2018: Psychoneuroendocrinology
https://www.readbyqxmd.com/read/29725594/transperitoneal-mini-laparoscopic-pyeloplasty-in-flank-position-a-safe-method-for-infants-and-young-adults
#6
Beatriz Bañuelos Marco, Tom Florian Fuller, Frank Friedersdorff, Ricardo González, Anja Lingnau
Introduction and Objectives: Open dismembered pyeloplasty has been the gold standard treatment for ureteropelvic junction obstruction in children. Laparoscopic pyeloplasty (LP) is becoming a standard procedure, but its acceptance is slow. We report our method for minilaparoscopy (MLP) in children using a tansperitoneal approach with the patient in the lateral flank decubitus which we found technically advantageous. Materials and Methods: Retrospective review of the records of 52 children and adolescents up to 18 years of age who underwent transperitoneal MLP at our institution during March 2012-October 2017 A 5 mm trocar is placed for the camera at the site of the umblicus by open technique, two 3 mm trocars placed in the upper and lower quadrants of the abdomen...
2018: Frontiers in Surgery
https://www.readbyqxmd.com/read/29717769/prognostic-significance-of-microsatellite-instability%C3%A2-associated-pathways-and-genes-in-gastric-cancer
#7
Xiaosheng Hang, Dapeng Li, Jianping Wang, Ge Wang
The aim of the present study was to reveal the potential molecular mechanisms of microsatellite instability (MSI) on the prognosis of gastric cancer (GC). The investigation was performed based on an RNAseq expression profiling dataset downloaded from The Cancer Genome Atlas, including 64 high‑level MSI (MSI‑H) GC samples, 44 low‑level MSI (MSI‑L) GC samples and 187 stable microsatellite (MSI‑S) GC samples. Differentially expressed genes (DEGs) were identified between the MSI‑H, MSI‑L and MSI‑S samples...
April 26, 2018: International Journal of Molecular Medicine
https://www.readbyqxmd.com/read/29704047/genome-wide-evolutionary-characterization-and-expression-analyses-of-major-latex-protein-mlp-family-genes-in-vitis-vinifera
#8
Ningbo Zhang, Ruimin Li, Wei Shen, Shuzhen Jiao, Junxiang Zhang, Weirong Xu
The major latex protein/ripening-related protein (MLP/RRP) subfamily is known to be involved in a wide range of biological processes of plant development and various stress responses. However, the biological function of MLP/RRP proteins is still far from being clear and identification of them may provide important clues for understanding their roles. Here, we report a genome-wide evolutionary characterization and gene expression analysis of the MLP family in European Vitis species. A total of 14 members, was found in the grape genome, all of which are located on chromosome 1, where are predominantly arranged in tandem clusters...
April 27, 2018: Molecular Genetics and Genomics: MGG
https://www.readbyqxmd.com/read/29688055/molasses-melanoidin-like-products-enhance-phytoextraction-of-lead-through-three-brassica-species
#9
Ken-Ichi Hatano, Takeshi Yamatsu
Previously, it has been suggested that melanoidin-like products (MLP) from sugarcane molasses may accelerate copper phytoextraction. In this study, we evaluated the facilitatory effect of MLP on phytoextraction in a medium including cadmium or lead, the concentrations of which were adjusted around the regulation values of the Soil Contamination Countermeasures Act in Japan. Three Brassica species were tested based on their fast growth, high biomass productivity, and high heavy metal absorption. Both biomass and lead uptake in the nutrient medium with 1 mM lead nitrate were significantly increased by the addition of MLP, and almost all of the lead was accumulated in the root tissue...
May 12, 2018: International Journal of Phytoremediation
https://www.readbyqxmd.com/read/29680672/targeting-of-folate-conjugated-liposomes-with-co-entrapped-drugs-to-prostate-cancer-cells-via-prostate-specific-membrane-antigen-psma
#10
Yogita Patil, Hilary Shmeeda, Yasmine Amitay, Patricia Ohana, Saran Kumar, Alberto Gabizon
Folate-targeted liposomes (FTL) were tested as drug delivery vehicles to PSMA-positive cancer cells. We used FL with co-entrapped mitomycin C lipophilic prodrug (MLP) and doxorubicin (DOX), and the LNCaP prostate cancer cell line which expresses PSMA but is negative for folate receptor. A major increase in cell drug levels was observed when LNCaP cells were incubated with FTL as compared to non-targeted liposomes (NTL). MLP was activated to mitomycin C, and intracellular and nuclear fluorescence of DOX was detected, indicating FTL processing and drug bioavailability...
April 19, 2018: Nanomedicine: Nanotechnology, Biology, and Medicine
https://www.readbyqxmd.com/read/29679837/development-of-a-stacked-ensemble-model-for-forecasting-and-analyzing-daily-average-pm-2-5-concentrations-in-beijing-china
#11
Binxu Zhai, Jianguo Chen
A stacked ensemble model is developed for forecasting and analyzing the daily average concentrations of fine particulate matter (PM2.5 ) in Beijing, China. Special feature extraction procedures, including those of simplification, polynomial, transformation and combination, are conducted before modeling to identify potentially significant features based on an exploratory data analysis. Stability feature selection and tree-based feature selection methods are applied to select important variables and evaluate the degrees of feature importance...
April 18, 2018: Science of the Total Environment
https://www.readbyqxmd.com/read/29642454/application-of-deep-learning-architectures-for-accurate-and-rapid-detection-of-internal-mechanical-damage-of-blueberry-using-hyperspectral-transmittance-data
#12
Zhaodi Wang, Menghan Hu, Guangtao Zhai
Deep learning has become a widely used powerful tool in many research fields, although not much so yet in agriculture technologies. In this work, two deep convolutional neural networks (CNN), viz. Residual Network (ResNet) and its improved version named ResNeXt, are used to detect internal mechanical damage of blueberries using hyperspectral transmittance data. The original structure and size of hypercubes are adapted for the deep CNN training. To ensure that the models are applicable to hypercube, we adjust the number of filters in the convolutional layers...
April 7, 2018: Sensors
https://www.readbyqxmd.com/read/29626659/modeling-based-optimization-approaches-for-the-development-of-anti-agrobacterium-tumefaciens-activity-using-streptomyces-sp-tn71
#13
Slim Smaoui, Karim Ennouri, Ahlem Chakchouk-Mtibaa, Imen Sellem, Kameleddine Bouchaala, Ines Karray-Rebai, Rayda Ben Ayed, Florence Mathieu, Lotfi Mellouli
A new aerobic bacterium TN71 was isolated from Tunisian Saharan soil and has been selected for its antimicrobial activity against phytopathogenic bacteria. Based on cellular morphology, physiological characterization and phylogenetic analysis, this isolate has been assigned as Streptomyces sp. TN71 strain. In an attempt to increase its anti-Agrobacterium tumefaciens activity, GYM + S (glucose, yeast extract, malt extract and starch) medium was selected out of five different production media and the medium composition was optimized...
April 4, 2018: Microbial Pathogenesis
https://www.readbyqxmd.com/read/29618119/external-ventricular-drain-placement-accuracy-and-safety-when-done-by-midlevel-practitioners
#14
Nathaniel R Ellens, D Luke Fischer, Jason E Meldau, Brett A Schroeder, Sanjay E Patra
BACKGROUND: External ventricular drains (EVDs) measure intracranial pressure, divert cerebrospinal fluid, and allow for orthotropic administration of pharmacologic agents. Currently, neurosurgeons and neurosurgery residents are the primary practitioners placing EVDs. Due to the urgency of neurosurgical pathologies and the lack of qualified residents at most hospitals, midlevel practitioner (MLP) placement of EVDs would be advantageous. OBJECTIVE: To assess the accuracy and complication rates of MLP and neurosurgeon EVD placement...
March 29, 2018: Neurosurgery
https://www.readbyqxmd.com/read/29599943/outlier-removal-in-model-based-missing-value-imputation-for-medical-datasets
#15
Min-Wei Huang, Wei-Chao Lin, Chih-Fong Tsai
Many real-world medical datasets contain some proportion of missing (attribute) values. In general, missing value imputation can be performed to solve this problem, which is to provide estimations for the missing values by a reasoning process based on the (complete) observed data. However, if the observed data contain some noisy information or outliers, the estimations of the missing values may not be reliable or may even be quite different from the real values. The aim of this paper is to examine whether a combination of instance selection from the observed data and missing value imputation offers better performance than performing missing value imputation alone...
2018: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29577090/a-hybrid-neural-network-world-cup-optimization-algorithm-for-melanoma-detection
#16
Navid Razmjooy, Fatima Rashid Sheykhahmad, Noradin Ghadimi
One of the most dangerous cancers in humans is Melanoma. However, early detection of melanoma can help us to cure it completely. This paper presents a new efficient method to detect malignancy in melanoma via images. At first, the extra scales are eliminated by using edge detection and smoothing. Afterwards, the proposed method can be utilized to segment the cancer images. Finally, the extra information is eliminated by morphological operations and used to focus on the area which melanoma boundary potentially exists...
2018: Open Medicine (Warsaw, Poland)
https://www.readbyqxmd.com/read/29574305/proliferative-and-apoptotic-changes-in-the-healthy-canine-endometrium-and-in-cystic-endometrial-hyperplasia
#17
N Reusche, A Beineke, C Urhausen, M Beyerbach, M Schmicke, S Kramer, A R Günzel-Apel
Proliferation and apoptosis play an important role in cyclic changes in the healthy canine endometrium. Proteins of the Bcl-2-family are known to be involved in the regulation of apoptosis. However, only few reports mention their expression patterns during cystic endometrial hyperplasia (CEH). In order to correlate proliferative and apoptotic processes, expression of the apoptosis-regulatory proteins Bcl-2 (anti-apoptotic) and Bax (pro-apoptotic) in healthy and cystic hyperplastic endometrial tissue as well as in pyometra was investigated...
March 15, 2018: Theriogenology
https://www.readbyqxmd.com/read/29567483/t-wave-end-detection-using-neural-networks-and-support-vector-machines
#18
Alexander Alexeis Suárez-León, Carolina Varon, Rik Willems, Sabine Van Huffel, Carlos Román Vázquez-Seisdedos
BACKGROUND AND OBJECTIVE: In this paper we propose a new approach for detecting the end of the T-wave in the electrocardiogram (ECG) using Neural Networks and Support Vector Machines. METHODS: Both, Multilayer Perceptron (MLP) neural networks and Fixed-Size Least-Squares Support Vector Machines (FS-LSSVM) were used as regression algorithms to determine the end of the T-wave. Different strategies for selecting the training set such as random selection, k-means, robust clustering and maximum quadratic (Rényi) entropy were evaluated...
March 6, 2018: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29557724/drug-targeted-virtual-screening-and-molecular-dynamics-of-lipu-protein-of-mycobacterium-tuberculosis-and-mycobacterium-leprae
#19
Gurkamaljit Kaur, Bharati Pandey, Arbind Kumar, Naina Garewal, Abhinav Grover, Jagdeep Kaur
The lipolytic protein LipU was conserved in mycobacterium sp. including M. tuberculosis (MTB LipU) and M. leprae (MLP LipU). The MTB LipU was identified in extracellular fraction and was reported to be essential for the survival of mycobacterium. Therefore to address the problem of drug resistance in pathogen, LipU was selected as a drug target and the viability of finding out some FDA approved drugs as LipU inhibitors in both the cases was explored. Three dimensional (3D) model structures of MTB LipU and MLP LipU were generated and stabilized through molecular dynamics (MD)...
March 20, 2018: Journal of Biomolecular Structure & Dynamics
https://www.readbyqxmd.com/read/29549602/predicting-heat-stress-index-in-sasso-hens-using-automatic-linear-modeling-and-artificial-neural-network
#20
A Yakubu, O I A Oluremi, E I Ekpo
There is an increasing use of robust analytical algorithms in the prediction of heat stress. The present investigation therefore, was carried out to forecast heat stress index (HSI) in Sasso laying hens. One hundred and sixty seven records on the thermo-physiological parameters of the birds were utilized. They were reared on deep litter and battery cage systems. Data were collected when the birds were 42- and 52-week of age. The independent variables fitted were housing system, age of birds, rectal temperature (RT), pulse rate (PR), and respiratory rate (RR)...
March 17, 2018: International Journal of Biometeorology
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