Miracle-dz/UniFAR-FTUs huggingface dataset:
Fluid-structure coupling analysis and simulation of a micromachined piezo microjet

A piezoelectric microjet has been fabricated and its working mechanism has been investigated. Considering different physical effects, the coupling models of the device are established and the key characteristics of the microjet are simulated by finite-element method. The dynamic displacement responses of the transducer under liquid-loading and unloading are calculated and compared. From numerical results, while the coupling interactions dramatically damp the vibration amplitude of the transducer, the effects on the resonant frequencies of the structure are negligible, which is very important for further design optimization of the device. Based on the optimal design rules, the device has been fabricated and characterized.
Evaluation of phenotypic and molecular methods for screening and detection of methicillin-resistant Staphylococcus aureus

An in-house PCR was compared with the GenoType® MRSA and the MRSA EVIGENETM tests, both of which corresponded 100% with the results of in-house PCR. The cefoxitin disk diffusion method was superior to both the oxacillin disk diffusion and minimum inhibitory concentration tests for predicting the mecA status.
Process Control in Municipal Solid Waste Incinerators: Survey and Assessment

As there is only rare and scattered published information about the process control in industrial incineration facilities for municipal solid waste (MSW), a survey of the literature has been supplemented by a number of waste incineration site visits in Belgium and the Netherlands, in order to make a realistic assessment of the current status of technology in the area. Owing to the commercial character, and therefore, the confidentiality restrictions imposed by plant builders and many of the operators, much of the information collected has either to be presented in a generalized manner, and in any case anonymously. The survey was focused on four major issues: process control strategy, process control systems, monitors used for process control and finally the correlation between the 850°C/2 s rule in the European waste incineration directive and integrated process control. The process control strategies range from reaching good and stable emissions at the stack to stabilizing and maximizing the energy output from the process. The main indicator to be monitored, in cases in which the focus is controlling emissions, is the oxygen content in the stack. Keeping the oxygen concentration in a determined range (usually between 8 and 12 vol.%) ensures stable and tolerated concentrations of the gaseous emissions. In the case for which stabilization of energy production is the principal aim, the main controlled parameter is the steam temperature and flow-rate, which is usually related to the fuel energetic input. A lot of other parameters are used as alarm criteria, the most common of which is the carbon monoxide concentration. The process control systems used most commonly feature partially automated classical proportional integral derivative (PID) controllers. New and innovative process control systems, such as fuzzy-logic control systems, are still unknown to most plant managers while their performance is reported to be unsatisfactory in plants in which such systems have been tested or are in use. Monitoring components used in process control are still based on classical tools such as thermocouples. The use of modern and more reliable sensors is very limited due to the high initial investment cost or simply the fear of using non-standard technologies. Complying with the 850°C/2 s rule in the European waste incineration directive generally is seen to be a handicap for the process control, either in terms of cost, or flexibility of reaction, or both, particularly in old incineration facilities where such restrictions were not planned in the design.
Dual-band bow-tie slot antenna fed by CPW for WiFi/WiMAX system applications

This paper proposes a dual-band bow-tie slot antenna design for WiFi and WiMAX system applications. The designed antenna utilizes the coplanar waveguide (CPW) feeding with the inductive coupling. The twin bow-tie slots with special feeding slot arrangements make the dual resonant response with the almost independent tuning mechanism for the individual band. Measured results include the operation frequencies in 2.393 GHz ~ 2.565 GHz and 3.353 GHz ~ 3.788 GHz with the gains of 2.11 dBi and 5.59 dBi for low-band and high-band respectively, meeting the WiFi and WiMAX system requirements.
Biosynthesis of antimicrobial silver nanoparticles by the endophytic fungus Aspergillus clavatus.

AIM To induce the biosynthesis of silver nanoparticles (AgNPs) using Aspergillus clavatus and evaluate their antimicrobial potential. MATERIALS & METHODS Aspergillus clavatus (AzS-275), an endophytic fungus isolated from sterilized stem tissues of Azadirachta indica A. Juss. , was challenged with 1 mM AgNO(3) solution. The characterization of the AgNPs was carried out by x-ray diffraction spectrometry, transmission-electron microscopy and atomic force microscopy. RESULTS & DISCUSSION The synthesized AgNPs were found to be extracellular, polydispersed spherical or hexagonal particles ranging from 10 to 25 nm in size. Antimicrobial activity was performed using a disc-diffusion method against Candida albicans, Pseudomonas fluorescens and Escherichia coli. The results showed an average minimum inhibitory concentration of 5.83 microg ml(-1) and minimum fungicidal concentration of 9.7 microg ml(-1) against C. albicans. CONCLUSIONS AgNPs can be mycosynthesized extracellularly using A. clavatus as the fungal system, which is highly advantageous over chemical synthesis not only because it can be synthesized on a large scale, but because of the ease of downstream processing and its biomedical application in antimicrobial activity.
S‐180 cells secrete nerve growth factor protein similar to 7S‐nerve growth factor

The nerve growth factor protein (NGF) has been identified by biological assay and rocket immunoelectrophoresis in media conditioned by monolayers of mouse S‐180 sarcoma cells, a transformed cell line of salivary gland origin. By utilization of a purification procedure designed to enrich for acid‐dissociable, high‐molecular‐weight complexes similar to the 7S‐NGF isolated from male mouse submaxillary gland, it has been determined that a significant portion of mouse sarcoma NGF is initially present as a complex at neutral pH with a molecualr weight indistinguishable from that of 7S‐NGF. At pH 4.0 the mouse sarcoma NGF complex dissociates, and the active subunit can be isolated as a species with a molecular weight of less than 40,000. The induced dissociation at pH 4.0 of the mouse sarcoma NGF high‐molecular‐weight complex, as well as the complex's behavior in isoelectric focusing and sucrose gradient sedimentation is consistent with the hypothesis that 7S‐NGF is packaged as a subunit containing protein intracellularly prior to secretion into the extracellular space. Moreover, the stability of the mouse sarcoma NGF complex at dilute concentrations is similar to that reported for the purified 7S‐NGF complex.
Perceptions About Eating Healthy in WIC Participants

Obesity in the United States has reached epidemic proportions. Results from the 2009-2010 National Health and Nutrition Examination Survey estimate that 16.9% of children and adolescents aged 2 to 19 years are obese. One in 3 low-income children becomes a member of the overweight or obese category prior to their fifth birthday. Physicians, schools, and community organizations continue to make strides to reduce childhood overweight and obesity. Special efforts are aimed at low-income populations where rates of obesity are greatest and barriers to a healthy lifestyle exist. Barriers include cost, time, cooking ability, availability of fruits and vegetables, taste, and misperceptions about certain foods such as juice. In an effort to prevent obesity and make healthy foods more accessible to low-income parents, the Women, Infants, and Children (WIC) program unveiled new food packages in 2009. Adjustments included the addition of fruits and vegetables, a substantial gain for WIC participants who often cite cost of food as a major obstacle to a healthy lifestyle. Since unveiling the new packages, however, there has been no observable decrease in the percentage of obese children enrolled in the Wisconsin WIC program. In 2008, 9.3% of children at a central Milwaukee WIC clinic were considered obese. In 2010, the percentage increased to 10.3. The aim of this study was to determine WIC participants’ perceptions of the greatest barriers to their children eating healthy. Past studies have addressed the issue of perceived barriers; however, these studies were done prior to changes to WIC. Understanding current barriers to healthy eating from the viewpoint of WIC participants will help refocus efforts in the fight against obesity in a low-income population.
Adaptive fuzzy time-varying sliding mode control for quadrotor UAV attitude system with prescribed performance

This paper presents an adaptive fuzzy time-varying sliding mode control scheme for quadrotor unmanned aerial vehicle (UAV) attitude system with prescribed performance. A performance function is used and an error transformation is provided to transform the original constrained nonlinear system into an equivalent unconstrained one. Fuzzy systems are used to approximate unknown nonlinear functions of the attitude system. To eliminate the reaching phase which can make the control is robust with respect to external disturbances and parameter uncertainties from the very beginning, a time-varying fast terminal sliding mode surface is designed by the transformed error and a tracking differentiator. Then by using the sliding mode surface, the controller is developed. The proposed scheme guarantees that all the signals in the resulting closed-loop system are bounded and that the tracking errors converge to a small residual set with the prescribed performance bounds in finite time. Simulation results are used to demonstrate the effectiveness of the proposed scheme.
The prevalence of antibodies to adenovirus serotype 5 in an adult Indian population and implications for adenovirus vector vaccines

In vivo gene delivery using human adenovirus serotype 5 (AdV5) vectors is being explored for vaccination purposes. The presence of anti‐AdV5 antibodies in human serum arising from natural exposure to AdV5 can interfere potentially with and compromise the efficacy of rAdV5‐based vaccine vectors. In this report, a collection of 114 sera from healthy adult Indian blood donors was analyzed for the presence of anti‐AdV5 antibodies, using an AdV5 vector encoding the green fluorescent protein (GFP) to monitor the presence of anti‐AdV5 neutralizing antibodies in human sera based on their ability to block virus entry into HeLa cells which express the Coxsackievirus‐and‐Adenovirus Receptor (CAR). In this assay all samples tested were positive for anti‐AdV5 antibodies, with titers varying over a very wide range. It was also observed that these antibodies facilitated the uptake of the reporter AdV5 vector into the monocytic cell line U937 which does not express CAR, but expresses Fc receptors (FcRs) instead. These observations have implications for rAdV5‐based vaccine development. J. Med. Virol. 82:407–414, 2010. © 2010 Wiley‐Liss, Inc.
Embedded Tutorial on Low Power Test

Excessive power during test affects the reliability of digital integrated circuits, test throughput and manufacturing yield. Numerous low power test methods have been investigated over the past decade and new power-aware automatic test pattern generation, design-for-test and test planning techniques have emerged. This embedded tutorial introduces the topic of low power test and it overviews the basic techniques and some recent advancements in this field.
Automatic Recognition of Coal and Gangue based on Convolution Neural Network

We designed a gangue sorting system,and built a convolutional neural network model based on AlexNet. Data enhancement and transfer learning are used to solve the problem which the convolution neural network has insufficient training data in the training stage. An object detection and region clipping algorithm is proposed to adjust the training image data to the optimum size. Compared with traditional neural network and SVM algorithm, this algorithm has higher recognition rate for coal and coal gangue, and provides important reference for identification and separation of coal and gangue.
Membrane glycoprotein biosynthesis: Changes in levels of glycosyl transferases in fibroblasts transformed by oncogenic viruses

Fibroblasts transformed by oncogenic viruses were found to have greater enzymic activities of four membrane glycoprotein:glycosyl transferases on a cell or protein basis then two non‐transformed fibroblastic lines. These enzymes are responsible for the synthesis of membrane glycoproteins; each of the four transferases studied, the polypeptide:N‐acetylgalactosaminyl, glycoprotein:galactosyl, fetuin:fucosyl and PSM:fucosyl transferases, was more than twice as active in the transformed cell lines using both endogenous and added receptor. The most pronounced differences occurred with the doubly (SV‐PY‐3T3) transformed fibroblasts in all cases; with the N‐acetylgalactosaminyl and galactosyl transferases the increase was 8–16 fold over the non‐transformed cells. It was demonstrated that these results do not arise from a changed level of glycosidase activities.
CCD: Locating Event in Wireless Sensor Network without Locations

Event detection is a typical application of wireless sensor networks. The existing approaches of event detection usually employ certain event models that are constructed with prior domain knowledge. The resulting event detection processes appear to be cost-inefficient, which require either intensive data exchanges among neighboring nodes or caching large columns of history data. In this paper, we focus on the issue of locating event in wireless sensor network without locations. This involves two tasks, namely detecting an event and identifying an area in the network where the event occurs. Motivated by the real system, we propose a model-free approach for event detection called CCD (Coding Cost based event Detection). Coding cost is a metric that quantifies the diversity of a set of sensor readings. Incorporated into the inherent data collection mechanism, CCD passively constructs a gradient map of coding cost throughout the network. An event is then detected where a change point of gradient appears and identifies the event pattern automatically. CCD is fully distributed and does not incur apparent communication overhead. We implement CCD and evaluate its performance with extensive experiments and simulations. The results demonstrate that CCD is accurate, scalable, and applicable to a variety of sensor networks.
Grade School Reform Model: Impacts on Child and Family Outcomes Over Time Authors and Affiliations:

This presentation reports on the goals and preliminary outcomes of the Child-Parent Centers (CPC) Expansion Project, which is a PreK to 3 rd grade school reform model aimed at improving the shortand long-term outcomes of participating children and families. The model provides continuous education and family support services to schools serving a large percentage of lowincome children. The model is based on an earlier project implemented in the 1970s and 1980s in a large, Midwestern city which followed participating children into adulthood and demonstrated consistent positive outcomes across a range of domains, including educational achievement. The CPC Expansion Project includes a quasi-experimental design to examine the impact of the current model on kindergarten school readiness and second grade school achievement as well as the impact on parent involvement in children’s education and learning.
Men, intimacy, and eroticism.

INTRODUCTION We present a conceptual/clinical article focused on the Good-Enough Sex model of male and couple sexuality. This offers a comprehensive, integrative couple approach to understanding and treating male sexual dysfunction. AIM To examine the couple biopsychosocial approach to assessing and treating male sexual dysfunction. The focus is integrating intimacy and eroticism as the man and the relationship age. METHODS The clinical case example examines the role of integrating intimacy and eroticism as the man and the relationship mature. The role of the clinician in helping the man and couple develop positive, realistic sexual expectations is crucial in both the change process and relapse prevention. MAIN OUTCOME MEASURES The clinical assessment of the man and couple focuses specifically on the interplay of desire, erection, intercourse, and orgasm. RESULTS The man and couple valuing each other as intimate, erotic partners, and adopting the Good-Enough Sex model rather than clinging to the pass-fail perfect intercourse performance criterion are crucial for therapeutic success. CONCLUSIONS When couples stop being sexual, it is almost always the man's decision-he has lost confidence with arousal, intercourse, and orgasm. Men and couples who adopt the Good-Enough Sex model are well positioned to ensure pleasurable, satisfying sexuality into their 60s, 70s, and 80s.
Interaction of Oxygen Species With Graphene and Pyrolytic-Graphite Surfaces

Different types of self-assembled nanostructures on a given substrate can be synthesized via plasma exposure to produce nanoscale devices. In this paper, we seek to understand the microscopic mechanism related to such interactions of plasma radicals by calculating the polarization-induced interaction between oxygen radicals and a given surface, namely, pyrolytic graphite and graphene.
Mobile Data Analysis For Smart City Applications

Author(s): Cici, Blerim | Advisor(s): Markopoulou, Athina | Abstract: Thanks to the pervasiveness of smartphones and their applications there is an abundance of data generated from mobile devices. These data are either actively contributed by the users (e.g., Foursquare check-ins), or can be passively inferred from the mobile phone activity (e.g., user's location during a phone call). Since, smartphones are constantly with their users, mobile data reflect the underlying human activity and they provide rich information about spatio-temporal and social patterns. This can be used to enable a variety of new services. This dissertation is focused on how to mine mobile phone data to improve a variety of Smart City applications. In particular, we focus on Call Description Records (CDRs) that are generated every time a user makes a phone call. Also, users' phone calls reveal social information (e.g., whom they call). The spatio-temporal information in mobile data reflects how users move in the city (i.e., users' trajectories) and in which areas they spend their time during the day. In this dissertation we use their rich and unique combination of insights into human dynamics in order to: (1) understand and improve transportation in a city via ridesharing, (2) characterize various areas of the city, as well as how these areas interact with each other (Urban Ecology), and (3) predict communication between different areas of the city in order to improve provisioning in cellular infrastructure. First, we use CDRs to assess the potential of ridesharing. Our offline analysis based on large CDRs and other data sets from four different cities indicates that ridesharing has a great potential considering spatio-temporal and social constraints the users might have when sharing a ride. Moreover, we design and implement an online ridesharing system (ORS), with emphasis on scalability. Second, we use CDRs to infer features of urban ecology (i.e., social and economic activities, and social interaction). We present a novel approach that consists of time series decomposition of aggregate cell phone activity per unit area using spectral methods, and clustering of areal units with similar activity patterns. We validate our methodology using external ground truth data that we collected from municipal and online sources. Finally, we use CDRs to predict cell-to-cell mobile traffic. Traffic prediction is crucial for provisioning and virtualization of cellular architectures. We build a traffic predictor using state-of-the art machine learning techniques. Our predictor is based on key insights that we got after examining the data and it achieves accuracy of 85% (while the baseline achieves 80%). Also, by giving higher weight to false positives, which is important for network operators, we can achieve a recall of 94%.
The Effect of Chitosan Prepared in Different Solvents on the Quality Parameters of Brown Trout Fillets ( Salmo trutta fario )

In this study, the use of chitosan prepared in different solvents (acetic acid, lactic acid) as a coating material was researched. The lowest mean pH, TBARS and TVB-N values among the treatment groups were observed in the acetic acid group. Similarly, the lowest growth of aerobic, lactic acid and Pseudomonas bacteria was recorded in this group. The growth of aerobic bacteria in the fillets that were packaged using chitosan film, was lower than the control group throughout the trial. The number of Pseudomonas and lactic acid bacteria was statistically higher in the fillets in the control groups compared to the groups with chitosan (p < 0.01). As a result, it is thought that the use of acetic acid in chitosan film coating is more convenient for the preservation of fish, compared to lactic acid.
An application of the Morse theory to the topology of Lie-groups

2. The Freudenthal theorem for symmetric spaces Our primary interest is in the classical compact groups; nevertheless, it is essential for our method to consider the larger family of compact symmetric spaces. A compact homogeneous Riemannian manifold M is called symmetric if it admits an 'inverse operation', i.e. if M admits an isometry, keeping a point P e M fixed, and whose differential at P is — 1. These geometric generalizations of the compact groups seem to be the class of spaces to which the Morse theory is most applicable. The reason is that, on such a space, conjugate points have global implications:
Trust During the Early Stages of the 2009 H1N1 Pandemic

Distrust of the government often stands in the way of cooperation with public health recommendations in a crisis. The purpose of this article is to describe the public's trust in government recommendations during the early stages of the H1N1 pandemic and to identify factors that might account for these trust levels. The authors surveyed 1,543 respondents about their experiences and attitudes related to H1N1 influenza between June 3, 2009, and July 6, 2009, during the first wave of the pandemic using the Knowledge Networks online panel. This panel is representative of the U.S. population and uses a combination of random digit dialing and address-based probability sampling frames covering 99% of the U.S. household population to recruit participants. To ensure participation of low-income individuals and those without Internet access, Knowledge Networks provides hardware and access to the Internet if needed. Measures included standard demographics, a trust scale, trust ratings for individual spokespersons, involvement with H1N1, experience with H1N1, and past discrimination in health care. The authors found that trust of government was low (2.3 out of 4) and varied across demographic groups. Blacks and Hispanics reported higher trust in government than did Whites. Of the spokespersons included, personal health professionals received the highest trust ratings and religious leaders the lowest. Attitudinal and experience variables predicted trust better than demographic characteristics. Closely following the news about the flu virus, having some self-reported knowledge about H1N1, self-reporting of local cases, and previously experiencing discrimination were the significant attitudinal and experience predictors of trust. Using a second longitudinal survey, trust in the early stages of the pandemic predicted vaccine acceptance later but only for White, non-Hispanic individuals.