Modelling the allocation of pallets in a flexible manufacturing cell.

Pallets are an essential part of manufacturing operations. This research concentrates on pallets for machining and, in particular, pallets for use in a flexible manufacturing cells (FMC). Flexible manufacturing has received widespread attention in the modern manufacturing environment. A close look at the research done on different areas of flexible manufacturing shows that the aspect of pallets in the design stage has been neglected. The objective of this research, therefore, is to develop mathematical programming models which deals with the palletizing problem in flexible manufacturing. The models assume that there is a set of existing machines in a manufacturing shop with known compatibilities and capacities to perform operations on the parts to be processed. The demand for each part is assumed uniform over the planning period under consideration. Model 1 considers the problem of grouping parts, machines, and the pallets in a flexible manufacturing environment. Considerations of physical limitations such as upper bounds on machine capacity, pallet time capacity are considered. Model 2 considers the reloading time and the machine-pallet compatibility. The models are formulated as a 0-1 integer programs, and illustrative examples are solved and the results were analyzed.Dept. of Industrial and Manufacturing Systems Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1997 .B375. Source: Masters Abstracts International, Volume: 37-01, page: 0333. Adviser: R. S. Lashkari. Thesis (M.A.Sc.)--University of Windsor (Canada), 1997

Rational Use of Fecal Calprotectin in Irritable Bowel Syndrome and Inflammatory Bowel Disease

The gastrointestinal pathologies have increased over the last years. The clinical pictures of inflammatory and irritable bowel disease might overlap, leading to expensive and invasive tests. Our study aims to investigate fecal calprotectin as an effective tool for differential diagnosis of gastrointestinal disorders. Two hundred fifty-six patients with the diagnosis of the gastrointestinal disorder and subjected to colonoscopy were collected for the statistical analysis of fecal calprotectin. The differential diagnosis of intestinal inflammation or non-inflammation was performed according to the Receiver Operating Characteristic (ROC) curve that outlines the Area Under Curve (AUC), Sensitivity (Se), Specificity (Sp). Fecal calprotectin was significantly elevated in patients with inflammatory bowel disease compared with patients with irritable bowel syndrome. Especially, the mean values of fecal calprotectin were 522 g/g (IQR=215-975) and 21 g/g (IQR=14-34.5) in patients with and without inflammation, respectively (P<0.0001). AUC value of fecal calprotectin was 0.958 (Se=88.9%, Sp=91.1%, with a cut-off value of 50 g/g) for differentiating between inflammatory bowel disease and irritable bowel syndrome. Fecal calprotectin seems to be a non-invasive and inexpensive biomarker useful for the purpose of a differential diagnosis between inflammatory bowel disease and irritable bowel syndrome

Purification, characterization and production optimization of a vibriocin produced by mangrove associated Vibrio parahaemolyticus

Objective: To identify a potential bacterium which produces antimicrobial peptide (vibriocin), and its purification, characterization and production optimization. The bacteria subjected in the study were isolated from a highly competitive ecological niche of mangrove ecosystem. Methods: The bacterium was characterized by phenotype besides 16S rRNA gene sequence analysis. The antibacterial activity was recognised by using agar well diffusion method. The vibriocin was purified using ammonium sulphate precipitation, butanol extraction, gel filtration chromatography, ion-exchange chromatography and subsequently, by HPLC. Molecular weight of the substance identified in SDS-PAGE. Production optimization performed according to Taguchi's mathematical model using 6 different nutritional parameters as variables. Results: The objective bacterium was identified as Vibrio parahaemolyticus. The vibriocin showed 18 KDa of molecular mass with mono peptide in nature and highest activity against pathogenic Vibrio harveyi. The peptide act stable in a wide range of pH, temperature, UV radiation, solvents and chemicals utilized. An overall ~20% of vibriocin production was improved, and was noticed that NaCl and agitation speed played a vital role in secretion of vibriocin. Conclusions: The vibriocin identified here would be an effective alternative for chemically synthesized drugs for the management of Vibrio infections in mariculture industry

Flue-Gas-Influenced Heavy Metal Bioaccumulation by the Indigenous Microalgae Desmodesmus Communis LUCC 002

Desmodesmus communis LUCC 002 was cultivated using flue gas originating from a coal-fired power plant as a carbon dioxide (CO2) source. The flue gas contains various heavy metals. For investigating the fate of flue-gas-introduced metals on the cultivation system, bioaccumulation was measured in the microalgal biomass and milieu. The accumulated biomass was found to contain eight heavy metals: arsenic, chromium, barium, lead, selenium, silver, cadmium, and mercury. High heavy metal accumulations were also found in the control group of algae grown without the addition of flue gas at the same location. Further testing revealed that some of the heavy metals originated from well water used in the cultivation. The flue-gas-influenced bioaccumulation pattern of different heavy metals was observed. The responses of individual heavy metals and the influence of well water microbial flora on the algal growth were investigated, this study showed that hormesis was developed by the D. communis LUCC 002

sTetro-Deep Learning Powered Staircase Cleaning and Maintenance Reconfigurable Robot

Staircase cleaning is a crucial and time-consuming task for maintenance of multistory apartments and commercial buildings. There are many commercially available autonomous cleaning robots in the market for building maintenance, but few of them are designed for staircase cleaning. A key challenge for automating staircase cleaning robots involves the design of Environmental Perception Systems (EPS), which assist the robot in determining and navigating staircases. This system also recognizes obstacles and debris for safe navigation and efficient cleaning while climbing the staircase. This work proposes an operational framework leveraging the vision based EPS for the modular re-configurable maintenance robot, called sTetro. The proposed system uses an SSD MobileNet real-time object detection model to recognize staircases, obstacles and debris. Furthermore, the model filters out false detection of staircases by fusion of depth information through the use of a MobileNet and SVM. The system uses a contour detection algorithm to localize the first step of the staircase and depth clustering scheme for obstacle and debris localization. The framework has been deployed on the sTetro robot using the Jetson Nano hardware from NVIDIA and tested with multistory staircases. The experimental results show that the entire framework takes an average of 310 ms to run and achieves an accuracy of 94.32% for staircase recognition tasks and 93.81% accuracy for obstacle and debris detection tasks during real operation of the robot

Occurrence of Euryhaline Dunaliella salina in Andaman & Nicobar Islands: Assessment and Optimization of its Total Carotenoid by Orthogonal Array Design

Dunaliella salina has been widely reported in the halophilic environment. The present study first time reveals and reports the presence of green alga D. salina identified by both morphological and molecular identification from Andaman and Nicobar Islands, a rainy tropical environment. Besides, it was adapted for the optimization of total carotenoid production by using Taguchi tool with various combinations of different parameters, like light intensity, pH, salinity, NaNO3 and NaH2PO4 in basal De Walne’s medium of which 40µEm-2s-1 light intensity showed maximum production of 249.24 µg/mL of total carotenoid followed by NaNO3, NaH2PO4, pH, and salinity. Hence, this study proves that D. salina possesses the character of adapting to the extreme habitats with total carotenoid production

Ethnic variability associating gut and oral microbiome with obesity in children

Obesity is a growing worldwide problem that generally starts in the early years of life and affects minorities more often than Whites. Thus, there is an urgency to determine factors that can be used as targets as indicators of obesity. In this study, we attempt to generate a profile of gut and oral microbial clades predictive of disease status in African American (AA) and European American (EA) children. 16S rDNA sequencing of the gut and saliva microbial profiles were correlated with salivary amylase, socioeconomic factors (e.g., education and family income), and obesity in both ethnic populations. Gut and oral microbial diversity between AA and EA children showed significant differences in alpha-, beta-, and taxa-level diversity. While gut microbial diversity between obese and non-obese was not evident in EA children, the abundance of gut Klebsiella and Magasphaera was associated with obesity in AA children. In contrast, an abundance of oral Aggregatibacter and Eikenella in obese EA children was observed. These observations suggest an ethnicity-specific association with gut and oral microbial profiles. Socioeconomic factors influenced microbiota in obesity, which were ethnicity dependent, suggesting that specific approaches to confront obesity are required for both populations