Computational Fluid Dynamics (CFD) Simulation and Comparison for Different Numbers of Baffles to Reduce Concentration Polarization Effects in Membrane Tubes

This research shows the use of computational fluid dynamics (CFD) with finite volume method (FVM) to study the species diffusion and mixing characteristics in a tubular membrane filled with vertical baffles. This study exhibits how to set up the FVM for CFD simulation and residence time distribution (RTD) analysis and compare the mixing characteristics of two membrane tubes with a different number of baffles using RTD curves. In this study, the effects of the number of baffles on flow patterns, features and behavior of air were identified completely through computational fluid dynamics (CFD) simulations. In addition, a two-dimensional simulation was implemented to study the effects of steady and unsteady (transient) flow in the tubular membrane. The residence time distribution (RTD) of a tracer in a co-current flow pattern was investigated. For this, the tracer was injected for 1 second into the membrane tubes on a frozen flow field and the concentration variation of the tracer over time was monitored at the outlet

Comparison of Bupivacaine and Dexmedetomidine versus Bupivacaine Alone in Transversus Abdominis Plane Block for Post-Operative Analgesia

Objective: To study the effects of adding dexmedetomidine to bupivacaine in transverses abdominis plane block in comparison with using bupivacaine alone. Materials and Methods: This was a prospective comparative study that was conducted in the Anaesthesia Department, CMH, Lahore over a period of six months from 1st June 2020 to 30th November 2020. Fifty patients of the American Society of Anesthesiologist Class I and II with an age range between 40 to 60 years were divided into two groups. Group B received 20ml of 0.25% bupivacaine with 2ml of normal saline on each side in the transversus abdominis plane block while group BD was given 20ml of 0.25% bupivacaine with dexmedetomidine 0.5mcg/kg on each side (in a volume of 2ml). Post-operative pain was assessed with a visual analogue scale. Rescue analgesia was given when a score of greater than 3 was observed using this scale. Time to first rescue analgesia was noted. Total opioid consumption in the first 24 hours was also recorded. Patients were observed for postoperative hypotension and bradycardia.Results: The mean-time for the first dose of analgesia for group B and BD was 302.92 ± 24.01 and 419.28 ± 31.97 minutes respectively with a p-value of 0.001. The mean of the total consumption of opioids in 24 hours post-operatively for group B and BD was 14.20±2.36 and 10.40±1.38 mg respectively with a p-value of 0.001. Hypotension was not seen in any patient in either group. Only one patient developed bradycardia and he belonged to group BD. P-value was 0.327.Conclusion: The addition of dexmedetomidine to bupivacaine for transversus abdominis plane block for postoperative analgesia significantly prolongs the duration of analgesia and reduces the postoperative opioid requirements

Multimedia Traffic Engineering in Next Generation Networks

Due to high speed Internet and Multimedia applications, future wireless communication are expected to support multimedia traffic such as voice, video and text with a variety of Quality of Service (QoS) requirements and make efficient use of radio resources. Such kind of traffic requires high level of QoS guarantees. Traffic management is a process of regulating the traffic over network. Since, multimedia traffic is more sensitive, therefore it requires special measures while transmission, especially in wireless networks. There are different queuing disciplines which are used to police the traffic, the Priority Queue and RIO (RED with In/Out) are queuing disciplines, PQ is used to prioritize the traffic, and the later is used to drop the lower priority packets at the time of congestion. Proposed solution is the integration of Priority Queue with RIO, which will serve as a classifier to prioritize the traffic and then it will also serve as a scheduler by dropping lower priority traffic when the congestion state occur. Simulation results show that by applying proposed Traffic Management Strategy (PriRIO), it assigns stable bandwidth to the Multimedia Traffic Flow and enhances its throughput. It also shows that Packet Losses for Multimedia Traffic are very minor, that is, equivalent to none. Further, delay values for Multimedia traffic also remain below the Best Effort traffic flows. Thus, on the basis of these simulation results and analysis, PriRIO outperforms significantly, as compare to other Traffic Management Strategies

Deep Cognitive Neural Network (DCNN)

Embodiments of the present systems and methods may provide a more efficient and low-powered cognitive computational platform utilizing a deep cognitive neural network (DCNN), incorporating an architecture that integrates convolutional feedforward and recurrent networks , and replaces multi - layer perceptron (MLP) based sigmoidal neural structures with a queuing theory-driven design. For example, in an embodiment, a circuit may comprise a plurality of layers of neural network circuitry, each layer comprising a plurality of neuron circuits, each neuron comprising a plurality of computational circuits, and each neuron connected to a plurality of other neurons in the same layer by synapse circuitry, wherein the plurality of layers of neural network circuitry are adapted to process symbolic and conceptual information.United State

Pituitary stalk interruption syndrome presenting as short stature: a case report

Introduction: Pituitary stalk interruption syndrome is a rare congenital abnormality of the pituitary that is responsible for anterior pituitary deficiency. It is characterized by a classic triad of interrupted pituitary stalk, absent or ectopic posterior pituitary, and anterior pituitary hypoplasia or aplasia. Clinical presentation varies according to age. In adults it presents as short stature and anterior pituitary deficiency. Without early diagnosis and treatment, mortality and morbidity in these patients is high. Early diagnosis and treatment of this rare disease can prevent permanent short statue of the patient. We report the first case of pituitary stalk interruption syndrome from Pakistan. CASE PRESENTATION: A 17-year-old Pakistani young man presented with short stature and underdeveloped secondary sexual characters. His siblings and parents were healthy, with normal height. An examination showed his blood pressure was 90/60 mmHg, and his height, weight, and body mass index were 142 cm, 34.5 kg, and 17.10 kg/m2, respectively. He had no hair growth on his face, axilla, or pubis. His testes were between 1 and 2 mL in size, with a 4 cm-at-stretch micropenis. His lab investigations showed that his thyroid stimulating hormone (TSH) was 8.58 uIU/mL (0.4 to 4.2), his free thyroid hormone level FT4 was 0.46 ng/dL (0.89 to 1.76), his prolactin was 21.1 ng/mL (3.0 to 14.7), and his baseline cortisol was 0.30 ug/dL (4.3 to 22.4). His cortisol level after 60 minutes of cosyntropin injection was 3.5 ug/dL (4.3 to 22.4), his insulin like growth factor IGF-1 was 31.56 ng/mL (247.3 to 481.7), his testosterone level was under 2.5 ng/dL (2 to 800), his follicle stimulating hormone FSH was 0.41 uIU/mL (0.0 to 10.0), and his leutinizing hormone LH was under 0.1 uIU/mL (1.2 to 7.8). His bone age was 10 years according to the Greulich and Pyle method, as shown by X-rays. The results from his pituitary magnetic resonance imaging scan were consistent with pituitary stalk interruption syndrome. CONCLUSIONS: We describe a young man who presented with short stature and was found to have pituitary stalk interruption syndrome. Despite the fact that this is a rare disorder, it should always be kept in the differential diagnosis of a patient presenting with short stature. Patients with this disease have an excellent opportunity to reach normal height if they present before the joining of epiphyses

Species diversity, seasonal abundance and morphometric analysis of grasshopper (Orthoptera: Caelifera) in Rajshahi City, Bangladesh

A study from July 2016 to June 2017 was carried out to assess the species diversity, seasonal abundance and morphometric characteristics of grasshopper (Orthoptera: Caelifera) at Rajshahi city of Rajshahi District, Bangladesh. A total number of 286 individuals of grasshopper were examined during the study. Eight species of grasshopper were identified under seven genera of 2 families. The numbers of identified species were seven and one, and their percentages were calculated as 90.9% and 9.1% in families Acrididae and Tetrigidae respectively. Based on monthly occurrence, four species of grasshopper were found throughout 12 months, three were 9-11 months and one was 6-8 months. The highest species abundance of grasshoppers was recorded in the month of July to August and lowest in November to January. Among the collected species the status of Camnula pellucida was very common (VC) and rest seven species were considered as not rare (NR). The Simpson’s diversity index (1-D) for grasshopper species was 0.80. For the study of inter-specific variations, morphometric analysis of nine parameters viz. length of body, antenna, foreleg, midleg, hindleg, forewing and hindwing; width of forewing and hindwing was evaluated. The lengths or widths of these parameters were measured by ImageJ software (1.48v) and data were analyzed by GraphPad InStat 3 and MS Excel 2007. Relationship among parameters and different species were determined using repeated measures ANOVA with Tukey post-test. The variation between these species and parameters was considered highly significant (p< 0.001) and showed the dynamic speciation. Morphometric analysis of these eight species was done for the first time from this region

Data mining using the crossing minimization paradigm

Our ability and capacity to generate, record and store multi-dimensional, apparently unstructured data is increasing rapidly, while the cost of data storage is going down. The data recorded is not perfect, as noise gets introduced in it from different sources. Some of the basic forms of noise are incorrect recording of values and missing values. The formal study of discovering useful hidden information in the data is called Data Mining. Because of the size, and complexity of the problem, practical data mining problems are best attempted using automatic means. Data Mining can be categorized into two types i.e. supervised learning or classification and unsupervised learning or clustering. Clustering only the records in a database (or data matrix) gives a global view of the data and is called one-way clustering. For a detailed analysis or a local view, biclustering or co-clustering or two-way clustering is required involving the simultaneous clustering of the records and the attributes. In this dissertation, a novel fast and white noise tolerant data mining solution is proposed based on the Crossing Minimization (CM) paradigm; the solution works for one-way as well as two-way clustering for discovering overlapping biclusters. For decades the CM paradigm has traditionally been used for graph drawing and VLSI (Very Large Scale Integration) circuit design for reducing wire length and congestion. The utility of the proposed technique is demonstrated by comparing it with other biclustering techniques using simulated noisy, as well as real data from Agriculture, Biology and other domains. Two other interesting and hard problems also addressed in this dissertation are (i) the Minimum Attribute Subset Selection (MASS) problem and (ii) Bandwidth Minimization (BWM) problem of sparse matrices. The proposed CM technique is demonstrated to provide very convincing results while attempting to solve the said problems using real public domain data. Pakistan is the fourth largest supplier of cotton in the world. An apparent anomaly has been observed during 1989-97 between cotton yield and pesticide consumption in Pakistan showing unexpected periods of negative correlation. By applying the indigenous CM technique for one-way clustering to real Agro-Met data (2001-2002), a possible explanation of the anomaly has been presented in this thesis.EThOS - Electronic Theses Online ServiceGBUnited Kingdo