Miracle-dz/UniFAR-FTUs huggingface dataset:
AN ANALYSIS OF BLOOD USAGE IN AN ELECTIVE SURGERIES AND ITS WASTAGE AT MEDICAL COLLEGE HOSPITAL

BACKGROUND: The demand for large quantities of blood for elective surgeries, of which little is utilized results in exhaustion of valuable supplies and resources both in terms of technician time and reagents. This adds to the financial burden of the patients. The aim of this study is to analyse the usage of blood in elective surgeries and to prevent excessive wastage of blood. METHODS: A retrospective study was conducted at Medical College Hospital Blood Bank during the period from January 2010 to December 2010.The number of patients cross-matched & transfused were analysed. The different transfusion indices such as Cross match/Transfusion ratio(C/T), Transfusion Probability (%T), Transfusion Index (TI) were calculated. Maximal Surgical Blood Ordering System (MSBOS) was estimated for each procedure and the degree of over transfusion was calculated. RESULTS : A total of 1276 units of blood were cross-matched for 804 patients, but only 399 units were transfused to 213 patients i.e. 26% of blood cross- matched was utilized, leaving 74% unutilized. Significant blood utilization was nil in most of the routine elective cases. The overall C/T was 2.01, MSBOS was 0.465 and in 26% of cases over transfusion was present. CONCLUSION : This study showed that there was excessive cross matching of blood. "Type, screen and hold" policy should be implemented. Blood ordering pattern needs to be revised and over-ordering of blood should be minimized.
Unequal error protection for power line communications over impulsive noise channels

I would like to thank my academic supervisors Dr.Karim Seddik and Dr.Ayman Elezabi for providing all the support and academic experience needed for this work to be accomplished. Also, I would like to thank Dr.Naofal Al-Dhahir from University of Texas, Dallas for the fruitful discussions which enable us to focus our work directions and Dr.Ahmed Elsamadouny from University of Texas, Dallas for providing us with MIMO PLC channel data which helped to study MIMO schemes over PLC. Besides, I am grateful for all my family and friends for their support and motivation. In addition, I would to thank my colleague Eng.waleed kabil from In neon Technologies AG for his personal support. Finally, I would like to thank Dr.Wael Fikry from Ain Shams university for his special motivation and mentoring through all my academic life at Ain Shams university.
Free-return Trajectory and Hybrid Trajectory Design for Manned Lunar Landing Missions

The method to design lunar free-return trajectory and hybrid trajectory was studied. The sectional perturbational high precision dynamical model was established,then the search variables,target parameters and differential correction algorithm were designed,and a nominal free-return trajectory was searched out,which was validated and three-dimensionally simulated by STK. In addition,the error transfer was analyzed. The paper described a typical design procedure of hybrid trajectory which combines free-return trajectory and non-free-return trajectory,and simply analyzed the advantages and disadvantages of it. The method and conclusions in the paper can be applied to conceptual design of manned lunar landing mission and trajectory design of the later stage of China Lunar Exploration Program,as well as trajectory design of micro lunar probe launched together with other spacecrafts.
Keywords, phrases, clauses and sentences: topicality, indicativeness and informativeness at scales

About the Speaker: Min-Yen Kan (BS;MS;PhD Columbia University) is an associate professor at the National University of Singapore. He is a senior member of the ACM and a member of the IEEE. Currently, he is an associate editor for the journal “Information Retrieval” and is the Editor for the ACL Anthology, the computational linguistics community’s largest archive of published research. His research interests include digital libraries and applied natural language processing. Specific projects include work in the areas of scientific discourse analysis, full-text literature mining, machine translation and applied text summarization. More information about him and his group can be found at the WING homepage: http://wing.comp.nus.edu. sg/.
Applying an Augmented Reality Tool to the Camino de Santiago in Portugal

This chapter focuses on an Interactive Guide of the Portuguese Way of St. James (Camino de Santiago) created by using an Augmented Reality application. This application was developed specifically for the section of the Portuguese Route to Santiago that crosses the municipality of Barcelos (Northwest of Portugal). The Guide has the geo-information needed for the Pilgrim, in the passage by the municipality of Barcelos to Santiago, and can be accessed through a smartphone. The pilgrim will have at his or her disposal a set of interactive geo-information about Barcelos. At the level of interactivity with the user, each of these points of interest in the Guide will be signaled by a portrait done by a painter from Barcelos (monuments) and universal graphic icons (other geo-information).
An UI Layout Files Analyzer for Test Data Generation

Prevention actions (trainings, audits) and inspections (tests, validations, code reviews) are the crucial factors in achieving a high quality level for any software application simply because low investments in this area are leading to significant expenses in terms of corrective actions needed for defect fixing. Mobile applications testing involves the use of various tools and scenarios. An important process is represented by test data generation. This paper proposes a test data generator (TDG) system for mobile applications using several sources for test data and it focuses on the UI layout files analyzer module. The proposed architecture aims to reduce time-to-market for mobile applications. The focus is on test data generators based on the source code, user interface layout files (using markup languages like XML or XAML) and application specifications. In order to assure a common interface for test data generators, an XML or JSON-based language called Data Specification Language (DSL) is proposed.
Spatial variability of solute leaching : experimental validation of a quantitative parameterization

Soil heterogeneity, soil structure, and fingered flow affect solute leaching from the vadose zone to the ground water. Recently, the spatial variation of cumulative solute fluxes at a given depth was characterized by fitting the two-parameter beta distribution to sorted amounts of solute leaching at different sampling points. We tested this parameterization on data from a chloride tracer experiment performed on a monolith lysimeter, below which drainage was collected from 300 compartments with a combined area of 0.75 m2. The effect of total sampling area, sample size, and the number of samples and their spatial distribution (random locations vs. clustered) on the fitted parameters was examined. Sixteen or more sampling locations of 25 cm2 each (5% of the total area) resulted in adequate representation of parameter values. Increasing the sample size underestimated the degree of heterogeneity. We therefore recommend that the fitted parameter values of the beta distribution be reported together with the sample size. In solute-transport experiments, collecting many small samples will give more accurate results than taking fewer but larger samples. | Soil heterogeneity, soil structure, and fingered flow affect solute leaching from the vadose zone to the ground water. Recently, the spatial variation of cumulative solute fluxes at a given depth was characterized by fitting the two-parameter beta distribution to sorted amounts of solute leaching at different sampling points. We tested this parameterization on data from a chloride tracer experiment performed on a monolith lysimeter, below which drainage was collected from 300 compartments with a combined area of 0.75 m2. The effect of total sampling area, sample size, and the number of samples and their spatial distribution (random locations vs. clustered) on the fitted parameters was examined. Sixteen or more sampling locations of 25 cm2 each (5% of the total area) resulted in adequate representation of parameter values. Increasing the sample size underestimated the degree of heterogeneity. We therefore recommend that the fitted parameter values of the beta distribution be reported together with the sample size. In solute-transport experiments, collecting many small samples will give more accurate results than taking fewer but larger samples.
Thin-Layer Rapid Use Epicutaneous Patch Test (T.R.U.E. Test) for Confirmation of Contact Sensitization

ABSTRACT The patch test is considered the gold standard for the diagnosis of allergic contact dermatitis. The Thin-Layer Rapid Use Epicutaneous Patch Test (T.R.U.E. Test) is a patch test approved by the U.S. Food and Drug Administration containing 35 preloaded, ready-to-apply allergens and allergen mixes. Our objective is to provide a comprehensive review of the commercially available patch test kit.
Ultra-high-speed variable focus optics for novel applications in advanced imaging

With the advancement of ultra-fast manufacturing technologies, high speed imaging with high 3D resolution has become increasingly important. Here we show the use of an ultra-high-speed variable focus optical element, the TAG Lens, to enable new ways to acquire 3D information from an object. The TAG Lens uses sound to adjust the index of refraction profile in a liquid and thereby can achieve focal scanning rates greater than 100 kHz. When combined with a high-speed pulsed LED and a high-speed camera, we can exploit this phenomenon to achieve high-resolution imaging through large depths. By combining the image acquisition with digital image processing, we can extract relevant parameters such as tilt and angle information from objects in the image. Due to the high speeds at which images can be collected and processed, we believe this technique can be used as an efficient method of industrial inspection and metrology for high throughput applications.
Optimization of a low-dose 320-slice multi-detector computed tomography chest protocol using a phantom

Abstract Background Radiation exposure because of medical imaging is a public safety concern. Objective To optimize a protocol for multi-detector computed tomography (MDCT) of the chest with pulmonary nodules based on targeted standard deviation (SD) to achieve minimal patient radiation exposure, while maintaining acceptable diagnostic information. Methods A Lungman chest phantom with 5 spheres simulating nodules of 12, 10, 8, 5, and 3 mm diameters at 100 Hounsfield Units (HU) was scanned by 320-slice MDCT by varying targeted SD of 9, 14, 20, and 25, beam pitch of 0.637, 0.813, 1.388, at 120 and 100 kVp, and 10-400 mA. We measured the radiation doses in terms of corresponding volume computed tomography dose index (CTDIvol). Quantitative image quality was determined by the percent contrast-to-noise ratio (%CNR). Two independent radiologists evaluated images for nodule detection acceptability on a 5-point rating scale. Results We found targeted SD increased results in decreased radiation dose and %CNR. We found CTDIvol reduction between –40% and –88% compared with the default setting for various targeted SD, beam pitch, and kVp. The %CNR was highest at targeted SD 9. There was good agreement between the image quality scores by 2 independent readers (k = 0.66). Conclusion Targeted SD 20, 10-400 mA at pitch 0.813 and 120 kVp on a nodule size of 5 mm was considered the optimal protocol for low-dose chest CT. Our recommended protocol can reduce the radiation dose substantially under the manufacturer’s default protocol, while preserving acceptable image quality for lung nodule detection.
A Framework for Edge Computing on Smart Meters

Smart meters are connected through slow wireless or wired networks, e.g., multi-hop wireless networks. To reduce the number of hops in data transmission from multiple smart meters, we present a framework for enabling edge computing to be available in smart meters. The framework is designed for supporting MapReduce processing to calculate and analyze data, the amount of power usage, in smart meters by using mobile code and mobile agent technologies. It can dynamically deploy programs for processing data at smart meters as a map step and executes the programs with local data. Finally, it aggregates the results of the programs to certain smart meters as a reduce step.
Assessing and Scaffolding

Young Children • January 2012 It is the third week that Ms. Sotto’s preschool classroom has been turned into an airport. The literacy center is a ticket counter, with a travel agency complete with child-made passports, tickets, and travel brochures. In the block area the children have constructed a walk-through X-ray scanner from cardboard boxes. A smaller box with openings on both ends functions as the screening device for carry-on luggage. There is an airplane cockpit made out of a big piece of cardboard with child-drawn instruments, an upside-down egg carton for a keyboard, and a paper plate that functions as the steering wheel. Sophia tells her friend Vince that she is going on a trip and that she is going to forget to take out her water bottle. Then she won’t be able to get through security. Vince says he is going to go to Puerto Rico where his grandmother lives. Sophia puts on her backpack and stands in line behind Vince. Finally it’s her turn. “Where are you going? ” asks Tanya, the child behind the counter. “I’m goin’ to Puerto Rico too. ” “OK. Here’s your passport and your ticket to Puerto Rico. Your flight leaves at 77 o’clock. ” Tanya hands two pieces of torn construction paper to Sophia. Sophia goes to another center and takes off her shoes. She puts them in a basket with her backpack, then pushes the basket through the scanner. Amir, who is the security guard, waits until Sophia walks through the X-ray frame, then waves a paper towel roll wand over her head. “OK,” he says, “you can go now. ” Another security guard, Milda, is standing with Sophia’s backpack, holding the bottle of water that Sophia “forgot” to take out of her backpack. “This is more than three ounces! ” “Oh, I forgot. I’ll put it in my cubby,” says Sophia as she takes the bottle and runs to her cubby. Her next stop is the passenger lounge. Assessing and Scaffolding
Response of Cold-Tolerant Aspergillus spp. to Solubilization of Fe and Al Phosphate in Presence of Different Nutritional Sources

Three species of Aspergillus, namely, A. niger, A. glaucus and A. sydowii, isolated from soil samples collected from the Indian Himalayan Region (IHR), have been investigated for solubilization of aluminium phosphate and iron phosphate in the presence of different carbon and nitrogen sources. Preference of each fungal species varied for nitrogen and carbon sources, in terms of phosphate-solubilization. Among three species, Aspergillus niger gave the best results; it solubilized 32% and 8% of the supplemented aluminium phosphate and iron phosphate, respectively. The results indicated that the effect of carbon and nitrogen sources can influence the phosphate solubilizing efficiency of all the three Aspergillus spp. tested. All the three species were found to be plant-growth promoters in bioassays conducted under greenhouse conditions. The Al and Fe phosphate solubilization efficiency, investigated in the present study, is at the lower end of their previously reported tricalcium phosphate solubilization efficiency. The cultures are likely to have better field applications in agrobiotechnology, due to their potential towards solubilization of Al and Fe phosphates, which are known to have lower solubility through microbial activity.
Moneyball for Academics: Network Analysis for Predicting Research Impact

How are scholars ranked for promotion, tenure and honors? How can we improve the quantitative tools available for decision makers when making such decisions? Can we predict the academic impact of scholars and papers at early stages using quantitative tools? Current academic decisions (hiring, tenure, prizes) are mostly very subjective. In the era of “Big Data,” a solid quantitative set of measurements should be used to support this decision process.This paper presents a method for predicting the probability of a paper being in the most cited papers using only data available at the time of publication. We find that highly cited papers have different structural properties and that these centrality measures are associated with increased odds of being in the top percentile of citation count.The paper also presents a method for predicting the future impact of researchers, using information available early in their careers. This model integrates information about changes in a young researcher’s role in the citation network and co-authorship network and demonstrates how this improves predictions of their future impact.These results show that the use of quantitative methods can complement the qualitative decision-making process in academia and improve the prediction of academic impact.
TOWARDS RETRIEVAL OF HUMAN FACE FROM VIDEO DATABASE: A NOVEL FRAMEWORK

With enormous growth of security and surveillance system, a huge amount of video data is being generated every day. It is im- mense challenge for researcher to search and retrieve human face of interest from video. The proposed work is inspired from the same issue. It would be the future demand for searching, browsing, and retrieving human face of interest from video database for several applications. This paper proposed the novel framework for human face retrieval from video database using frontal face image as a query to video data- base. Human face is detected using Viola and Jones frontal detector. The features were extracted using fast Haar features based algorithm. At the same time, the grouping of detected faces within one video sequence shot into face tracks using Kanade-Lucas-Tomasi (KLT) tracker.
Study on in vitro antimicrobial activity of linezolid,vancomycin and other antibacterials against 111 methicillin resistant staphylococcus aureus

AIM: To investigate the antimicrobial activity of linezolid,vancomycin and other antibacterials against 111 methicillin resistant staphylococcus aureus.METHODS: Broth dilution method was used to determine the minimum inhibitory concentrations(MICs) of linezolid,vancomycin and other antibacterials against 111 methicillin resistant staphylococcus aureus identified by cefoxitin.RESULTS: The resistant rates of 111 MRSA to β-lactam,erythromycin,aminoglycosides(netilmicin and gentamycin),fluoroquinolones(gatifloxacin,moxifloxacin and levofloxacin) and chloromycin were 100%,92.8%,99.1%,91.9%-99.1%,3.6%. All 111 MRSA were sensitive to linezolid and vancomycin,and MIC50 and MIC90 of vancomycin were 0.5 and 1 μg/mL,MIC50 and MIC90 of linezolid were 2 μg/mL.CONCLUSION: 111 MRSA were resistant to most antibacterials including β-lactam,erythromycin,aminoglycosides and fluoroquinolones.Linezolid and vancomycin have strong antimicrobial activity against MRSA.
Glutamic acid decarboxylase and ICA512/IA-2 autoantibodies as disease markers and relationship to residual β-cell function and glycemic control in young type 1 diabetic patients***

Circulating autoantibodies (Ab) to islet autoantigens, glutamic acid decarboxylase (GAD65), and tyrosine phosphatase ICA512/IA-2 have been proposed as predictive markers of type 1 diabetes mellitus. To ascertain residual β-cell function and the clinical relevance for monitoring autoimmunity after clinical manifestation of disease, we studied 63 children at diagnosis of type 1 diabetes (mean SD age 7.5 ± 4 years) and 91 adolescent patients with type 1 diabetes (age 14.7 ± 1.6 years) with a mean duration of disease of 7 ± 3.5) years. Forty-two normal adolescent subjects (age 14.6 ± 1.8 years) without a family history of diabetes were the control group. Anti-GAD65 and ICA512/IA-2 Ab were assessed by a quantitative radioimmunoprecipitation assay. The relationship between humoral autoimmunity and clinical parameters was explored. GAD65 and ICA512/IA-2 Ab were detected in 56% and 63% of newly diagnosed children and the prevalence was not different in relationship to clinical characteristics. Levels of GAD65 Ab positively correlated with diagnosis age (P .05 and P <.05 v newly diagnosed children, respectively) and more patients were identified by these Ab (68%) than by ICA alone (34%) (P <.05). In this cohort, levels of ICA512/IA-2 Ab negatively correlated with levels of glycosylated hemoglobin (HbA1c) (P <.005) and with daily insulin requirement (P <.05). Moreover, the presence of some residual C-peptide secretion was significantly associated with the presence of ICA512/IA-2 Ab (P <.05). Our findings confirm that positivity for either GAD65 or ICA512/IA-2 Ab is a highly sensitive marker of type 1 diabetes in the pediatric age group, identifying a group of patients with absent ICA immunofluorescence. The persistence of Ab to islet tyrosine phosphatase possibly represents a marker of better glycemic control and less insulin requirement, indicating residual β-cell function, thus conferring clinical and prognostic relevance to these Ab, as well as potential usefulness in intervention strategies. Copyright 2003, Elsevier Science (USA). All rights reserved.
Query optimization for object-relational database systems

Modern database systems are placing an increasingly heavy burden upon their query optimizers. Commercial vendors are all scrambling to add object-relational features to their database systems, but unfortunately, optimizer technology has not kept pace with these advances for a number of reasons. Writing an optimizer, debugging it, and evaluating different optimization strategies remains a time-consuming and difficult task. Another problem is that attempts to design optimizers; that can easily be extended to incorporate new operators, algorithms, or search strategies have met with limited success. Finally, even the best of optimizers very often produce sub-optimal query evaluation plans. This problem is further aggravated by the presence of novel data domains and user-definable data-types and functions which make it very difficult to maintain statistics and estimate query execution costs. In this thesis, we present some solutions to the problems that are currently facing query optimizers. We describe OPT++ an architecture that significantly improves the extensibility and maintainability of a query optimizer. OPT++ considerably simplifies both, the task of implementing an optimizer for a new database system, and the task of evaluating alternative optimization techniques and strategies to decide what techniques are best suited for that database system. We use this as a tool to implement a number of relational and object-relational optimization techniques and search strategies and perform a study to compare their relative performance. We also describe Dynamic Reoptimization, a technique that can be used to tackle sub-optimality of plans produced by a query optimizer. The basic idea is to collect statistics at key points during the execution of a complex query. These statistics are then used to optimize the execution of the query, either by improving the resource allocation for that query, or by changing the execution plan for the remainder of the query. To ensure that this does not significantly slow down the normal execution of a query, the Query Optimizer carefully chooses what statistics to collect, when to collect them, and the circumstances under which to re-optimize the query.