Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling for Dynamic Economic Emission Dispatch Under Uncertainty

Abstract This article presents a new model to solve the dynamic economic emission dispatch problem incorporating uncertainties in the process of power generation. Besides the classic dynamic economic emission dispatch factors, the constraints of both reliability and efficiency are especially considered to restrain the disturbances of uncertainties. Accordingly, the penalty and reserve cost function together with the penalty and reserve emission function are added in the multi-objective function, respectively. To obtain some quantitative results, the characterizations of the different sources of uncertainty are discussed based on statistical theory, and this optimization problem is numerically solved by the improved particle swarm optimization algorithm. Eventually, the simulation results demonstrate that improving the level of reliability will increase the operation costs and emissions of the power system, while increasing the level of efficiency will decrease the operation costs and emissions of the power system. Furthermore, there seems to be no significant linear correlation among the economic and environmental costs and the proportion of wind power generation under the requirements of reliability and efficiency.
Ocean Productivity in the Gulf of Cadiz Over the Last 50 kyr

Reconstructions of ocean primary productivity (PP) help to explain past and present biogeochemical cycles and climate changes in the oceans. We document PP variations over the last 50 kyr in a currently oligotrophic subtropical region, the Gulf of Cadiz. Data combine refined results from previous investigations on dinocyst assemblages, alkenones, and stable isotopes (18O, 13C) in planktonic (Globigerina bulloides) and endobenthic (Uvigerina mediterranea) foraminifera from cores MD04‐2805 CQ and MD99‐2339, with new isotopic measurements on epibenthic (Cibicides pachyderma‐Cibicidoides wuellerstorfi) foraminifera and dinocyst‐based estimates of PP using the new n = 1,968 modern database. We constrain PP variations and export production by integrating qualitative information from bioindicators with dinocyst‐based quantitative reconstructions such as PP and seasonal sea surface temperature and information about remineralization from the benthic Δδ13C (difference between epibenthic and endobenthic foraminiferal δ13C signatures). This study also includes new information on alkenone‐based SST and total organic carbon which provides insights into the relationship between past regional hydrological activity and PP regime change. We show that PP, carbon export, and remineralization were generally high in the NE subtropical Atlantic Ocean during the last glacial period and that the Last Glacial Maximum (LGM) had lower Δδ13C than the Heinrich Stadials with sustained high PP, likely allowing enhanced carbon sequestration. We link these PP periods to the dynamics of upwelling, active almost year‐round during sadials, but restricted to spring‐summer during interstadials and LGM, like today. During interstadials, nutrient advection through freshwater inputs during autumn‐winter needs also to be considered to fully understand PP regimes.
Game-based teaching and simulation in nursing and healthcare

This innovative text provides practical strategies for developing, integrating, and evaluating new and emerging technology, specifically game-based learning methods, useful in nursing and clinical health sciences education. The text draws upon existing models of experiential learning such as Benner's "thinking-in-action" and "novice-to-expert" frameworks, and introduces current theories supporting the phenomenon of the created learning environment. Chapters explain how simulation and game-based learning strategies can be designed, implemented, and evaluated to improve clinical educational thinking and outcomes and increase exposure to critical experiences to inform clinicians during the journey from novice to expert. The text also describes how game-based learning methods can support the development of complex decision-making and critical thinking skills. Case studies throughout demonstrate the practical application of harnessing technology as a teaching/learning device.
Mechanochemical synthesis of Co3C carbide with carbon nanotubes

Nanoscaled (about 15 nm of size) metastable carbide Co3C was synthesized in a high-energy planetary ball mill by mechanical alloying of a mixture of powder cobalt (75 at. %) and multiwalled carbon nanotubes (CNT, 25 at. %). Phase transformation takes place at reaction milling according to the reaction hcp-Co + CNT ® Co3C (reaction time is 120 - 220 min). The crystal structure of the Co3C carbide formed in the milling products was studied by X-ray diffraction method. It has revealed that the Co3C phase crystallizes in a Fe3C-type structure with a = 0.4982(3) nm, b = 0.6715(6) nm, c = 0.4457(7) nm, Pnma space group. The reliability factor RB is equal to 0.065 for 48 reflections presented at diffraction pattern. It is found that the crystal structure of the Co3C carbide obtained by reaction milling of the Co-CNT charge is significantly internally deformed (distortion degree of the CCo6 octahedron is 3.67 %) and contains the reduced interatomic Co-C distances (up to 0.188 nm). It was shown that the use of carbon nanotubes instead of graphite substantially reduces the duration of the Co3C carbide synthesis.
A Robust Shadow Matching Algorithm for GNSS Positioning

Commercial GNSS devices tend to perform poorly in urban canyon environments. The dense and tall buildings block the signals from many of the satellites. In this work, we present a particle filter algorithm for a Shadow Matching framework to face this problem. Given a 3D city map and given the satellites' signal properties, the algorithm calculates in real-time invalid regions inside the Region Of Interest (ROI). This approach reduces the ROI to a fraction of its original size. We present a general framework for a Shadow Matching positioning algorithm based on a modified particle filter. Using simulation experiments we have shown that the suggested method can improve the accuracy of existing GNSS devices in urban regions. Moreover, the proposed algorithm can be efficiently extended to 3D positioning in high sampling rate, inherently applicable for UAVs and Drones. Copyright © 2015 Institute of Navigation.
Inter-limb blood pressure difference, ankle-brachial index and its association with border zone cerebral infarcts: A prospective single-blind study from central India

Background: Border zone infarcts (BZI) are ischemic lesions occurring between two nonanastomosing arterial territories. BZI patients have higher incidence of recurrent strokes (RS). The predictors of peripheral arterial disease (PAD), low ankle-brachial index (ABI) and high inter-arm blood pressure difference (IABD) are associated with intracranial atherosclerosis and thus, could also have an association with BZI. Our single blind prospective study explores the predictive value of these clinical variables, ABI and IABD for BZI in patients with acute ischemic stroke. Methods: The subjects fulfilling the inclusion criterion (183 of 335, 78.14% men) were divided into BZI (n=89) and pure core arterial territory infarct (CATI, n=94) groups, based upon MRI characteristics of infarcts. The value of ABI (<1 or ≥1) and IABD (<10 or ≥ 10 mmHg) was deduced in all the subjects. The groups were compared using the clinical features, ABI and IABD values as variables. results: Odds for BZI were high in men (OR 1.78, 95% CI 0.87-3.66), hypertension (p=0.003, OR 2.79, 95% CI 1.39 to 5.6), history of ischemic heart disease (OR 2.06, 95%CI 0.73-5.8), prior stroke (OR 1.92, 95% CI 0.54-6.8), smoking (OR1.85, 95% CI 0.96-3.56) and dyslipidemia (OR2.5, 95% CI 0.83-7.58). ABI mean (ABI-M) <1 was significantly associated with BZI (p=0.022) as compared to CATI. ABI-M of <0.96 was able to diagnose BZI over CATI (sensitivity 56.2%, specificity 63.8%, p<0.05). IABD ≥10 mm Hg showed no association with BZI. Logistic regression analysis showed that HTN (p<0.001) and low ABI-M (p<0.033) were a significant predictor of BZI. Conclusion: Low ABI-M could be of value as a screening tool to identify persons at risk for BZI in stroke population.
Novel Performance Enhancement of University's Network Exploiting Cisco Network Design Model: Study Case on IUKL Network

Designing a campus university network or any type of network by improving the performance, security, scalability, manageability is something all the designer desperately attempts to achieve. The very first problem to be faced triumphing the optimum design. Designers are more focus on buying equipment to solve the problem by forgetting the business/technical goal and constraint for the company they want to implement the design. This paper proposes a novel university campus network model based on Cisco top down network design model. This model will ameliorate the design and therefore, the collection of all the information needed before implementing a network is a matter of time rather designs. This model has been implemented in the IUKL network. The results show an impressive improvement in the network performance in several metrics.
Analyzing Performance and Usability of Broadcast-Based Inter-Core Communication (ATAC) on Manycore Architecture

In this thesis, I analyze the performance and usability benefits of broadcast-based inter-core communication on manycore architecture. The problem of high communication cost on manycore architecture was tackled by a new architecture which allows efficient broadcasting by leveraging an on-chip optical network. I designed the new architecture and API for the new broadcasting feature and implemented them on a multicore simulator called Graphite. I also re-implemented common parallel APIs (barrier and work-stealing) which benefit from the cheap broadcasting and showed their ease of use and superior performance versus existing parallel programming libraries through conducting famous benchmarks on the Graphite simulator. Thesis Supervisor: Armando Solar-Lezama Title: Associate Professor
A novel single-stage active clamped PFC converter

This paper presents a novel single-stage active clamped PFC converter. The proposed circuit operates with zero voltage switching realized by an active clamped circuit. In the experiment, the proposed converter achieved power factor of about 0.97 and maximum efficiency of 84.9%. In addition, the improved PFC converter with auxiliary winding of the transformer is proposed to suppress the voltage increase on the primary smoothing capacitor under light load. The converter displayed good performance in the experiments.
The Mediating Effect of Cross-functional Communication on the Relationship between Task Interdependence and New Product Development Speed: A Proposed Model

New Product Development (NPD) strengthens competitive advantages from a wide range of industries. Despite its benefits, many innovative firms encounter difficulties in making new product successful due to cross-functional integration. Such cross-functionality may have either positive or negative predictions on team performance. To solve this problem, cross-functional communication among NPD team members plays a key role during development process by improving each other’s understanding and harmony in teams. The objective of this research is to propose the conceptual model that explains the reason why the impact of task interdependence on NPD speed is mediated by cross-functional communication. Communication is viewed as four dimensions, consisting of frequency, bi-directionality, formality, and quality. The relationships between these constructs are proposed. Also, directions for further research and implications are discussed for both academicians and practitioners from innovative companies.
Threshold Effect of Free Radical Quenching in a Progressive Breast Cancer Cell Line Model

Oxidative stress is a consequence of both normal and abnormal cellular metabolism and is linked to cell proliferation, differentiation and apoptosis leading to the development of human diseases. A common mechanism for chemotherapeutic agents inducing cell death is through the generation of free radicals. Although the exact mechanism of the molecular signalling that it entails is still being worked upon, it is clear that this varies with the stage and type of cancer and the drug and dosage used. We study the response of MCF10A series progressive breast cancer cell lines, in response to Adriamycin and Cyclophosphamide. A targeted set of candidate genes from these pathways that participate in free radical metabolism were evaluated for gene expression. Genes in oxidative stress response pathways were modelled earlier using the multivariate Boolean Network Modelling. We provide evidence that the strategy of using Boolean modelling and laboratory testing of the model, although not a perfect match, has potential to contribute in biology. We present a novel and testable “threshold” model of free radical generation that is dependent on the quantity of free radical generation. Using logic tools like Boolean circuitry, with fine-tuned experiments may serve a useful purpose in designing preclinical chemotherapic protocols.his document gives formatting instructions for authors preparing papers for publication in this journal. All authors must follow the instructions given in this document for the papers to be published.
Automatic behavioural analysis of malware

With malware becoming more and more diffused and at the same time more sophisticated in its attack techniques, countermeasures need to be set up so that new kinds of threats can be identified and dismantled in the shortest possible time, before they cause harm to the system under attack. With new behaviour patterns like the one shown by polymorphic and metamorphic viruses, static analysis is not any more a reliable way to detect those threats, and behaviour analysis seems a good candidate to fight against the next-generation families of viruses. In this project, we describe a methodology to analyze and categorize binaries solely on the basis of their behaviour, in terms of their interaction with the Operating System, other processes and network. The approach can strengten host-based intrusion detection systems by a timely classification of unkown but similar malware code. It has been evaluated on a dataset from the research community and tried on a smaller data set from local companies collected at University of Mondragone.
Advances in the development of PubCaseFinder, including the new application programming interface and matching algorithm

Over 10,000 rare genetic diseases have been identified, and millions of newborns are affected by severe rare genetic diseases each year. A variety of Human Phenotype Ontology (HPO)‐based clinical decision support systems (CDSS) and patient repositories have been developed to support clinicians in diagnosing patients with suspected rare genetic diseases. In September 2017, we released PubCaseFinder (https://pubcasefinder.dbcls.jp), a web‐based CDSS that provides ranked lists of genetic and rare diseases using HPO‐based phenotypic similarities, where top‐listed diseases represent the most likely differential diagnosis. We also developed a Matchmaker Exchange (MME) application programming interface (API) to query PubCaseFinder, which has been adopted by several patient repositories. In this paper, we describe notable updates regarding PubCaseFinder, the GeneYenta matching algorithm implemented in PubCaseFinder, and the PubCaseFinder API. The updated GeneYenta matching algorithm improves the performance of the CDSS automated differential diagnosis function. Moreover, the updated PubCaseFinder and new API empower patient repositories participating in MME and medical professionals to actively use HPO‐based resources.
Instantaneous frequency distribution (IFD) measuring equipment having a 500 MHz bandwidth

The measurement of instantaneous frequency distribution (IFD) is proposed and prototype measuring equipment constructed to obtain the characteristics of wideband disturbance and to evaluate the effects of such disturbance on wideband digital communications. We propose an IFD measurement approach in which a wideband signal is received, and the distribution of the detected voltage corresponding to the signal's instantaneous frequency is measured. This paper describes how the equipment works with a measuring example, and highlights the equipment's features, applications, and utility.
Appearance of Woven Cloth

The appearance of a particular fabric is produced by variations in both large-scale reflectance and small-scale texture as the viewing and illumination angles change across the surface. This thesis presents a study of the reflectance and texture of woven cloth that aims to identify and model the most important optical features of cloth appearance. New measurements are reported for a range of fabrics including natural and synthetic fibers as well as staple and filament yarns. A new scattering model for woven cloth is introduced that describes the reflectance and the texture based on all analysis of specular reflection from the fibers. Unlike data-based models, our procedural model requires no image data. It can handle a wide range of fabrics using a small set of physically meaningful parameters that describe the characteristics of the fibers, the geometry of the yarns, and the pattern of the weave. The model is validated against the measurements and by comparisons to high-resolution video of the real fabrics.
The OSU Demo '97 vehicle

The Ohio State University Center for Intelligent Transportation (CITR), an Associate Member of the NAHSC (National Automated Highway System Consortium), was invited to participate in the 1997 Technology Demonstration, providing a scenario which came to be labeled "alternative technologies". OSU demonstrated two fully automated cars, illustrating autonomous behavior with a third manual car. It also demonstrated the use of a radar reflective stripe placed on the roadway for steering purposes, providing an alternative technology to using distinct magnets.
The Difference of Marginal Bone Preservation between Dental Implants with Non-Threaded or Micro-Threaded Collar Designs

This study analyzes the marginal bone loss (MBL) among dental implants characterized with non-threaded collar design (NT) when compared to the more classic micro-threaded collar design (MC) as such might reflect the future dentogengival esthetics, implant metal show, and mucositis. A total of 112 patients who received 311 implants have been included in the study and analyzed for their postoperative MBL using sequential periapical radiographs. The prevalence of postoperative peri-implant mucositis was recorded as well. The periapical radiographic comparison was performed between the immediate postoperative record and at the 24-month recall visit. Among the 311 implants, 124 (39.9%) had NT implants, and 187 (60.1%) had MC implants. Out of the 112 patients, 37 (44.6%) were females, and 10 (34.5%) were males included in the NT group. In contrast, 46 (55.4%) females and 19 (65.5%) males were in the MC group. The mean age among the two groups was 41.43 ± 15.900 and 46.68 ± 16.070, respectively. In contrast, the mean MBL among the groups were 0.544 ± 0.7129 and 0.061 ± 0.2648, respectively. The change in MBL was not positively correlated with gender (p-value = 0.154) or age (p-value = 0.115) in both groups. However, there was a significant difference (p-value = 0.001, X2 = 62.796, Df = 4) of MBL between the two implant systems themselves. The MBL was higher in people implanted with the NT system when compared to MC. Therefore, the MC implant system can be a better choice for marginal bone preservation, especially in restoring esthetically demanding areas in the mouth.
Securing wide-area storage in WheelFS

WheelFS is a secure wide-area distributed file system that gives applications finegrained control over the various trade-offs inherent in wide-area storage. Because of the security risks of running a wide-area application on the public Internet, WheelFS aims to allow for secure operation in an untrusted network with untrusted clients, while still enforcing access control against these clients and allowing them to safely share data with each other. By using SSH connections and RSA public keys, it gives users a familiar and secure authentication interface and maintains efficient secure communication in an untrusted network. It also uses server-supplied SHA-256 checksums to allow secure client-to-client data sharing between mutually-distrustful clients. Experiments on PlanetLab, a wide-area testbed, shows that wide-area file transfer and cooperative fetch operations take 1.5–2 times as long with these security measures compared to the unsecured prototype. Thesis Supervisor: Jeremy Stribling Title: PhD Candidate Thesis Supervisor: M. Frans Kaashoek Title: Professor of Computer Science and Engineering
Research on Map Construction and Location of Laboratory Service Robot based on Iterative Closest Point

The development of mobile robots has led to their wide application in a variety of fields. This study focuses on the intelligent application of mobile robots in laboratory management, especially the environmental awareness and self-positioning of a robot in the laboratory. In this study, a wheeled mobile robot is selected and equipped with a 2D laser scanner. Based on this, a Robot Operating System (ROS) environment is built. The nearest neighbor iterative closest point (ICP) matching algorithm is utilized to perceive the laboratory service environment, construct the indoor map in real time, and locate the robot precisely. Subsequently, data collected in the corridors and indoor environment of the experimental building are used to test the accuracy of the ICP matching algorithm. The results showed that the minimum translation error is as low as 0.0003 m and that the minimum rotation angle error is less than 0.5°. In addition, the positioning and mapping of the robot were analyzed. The experimental results show that the ICP matching algorithm is well suited to map construction and positioning of the laboratory service robot. This is of great significance for further research on laboratory service robots.
Leadership Traits and Characteristics of Effective Company Officers at the United States Naval Academy: The Midshipment Perspective

Abstract : This thesis provides the reader with insight into what leadership traits and characteristics Midshipmen at the United States Naval Academy desire in an effective Company Officer. The author interviewed 40 Midshipmen in eight separate focus group sessions comprised of five Midshipmen in each group. The data from the focus group sessions were analyzed to produce a list of desired leadership traits and characteristics. This list was presented back to 1,392 Midshipmen in survey format. The top seven traits and characteristics Midshipmen admire most in effective Company Officers are: (1) Approachable, (2) Trusting, (3) Not a Form-2 Leader, (4) Fair, (5) Understanding, (6) Respected, and (7) Knowledgeable about his/her people. Bach of the top seven traits is discussed in detail, and quotes from the focus group interviews are provided to give the reader deeper insight. The results of the USNA study are different than those found in other studies on leadership. The author discusses these differences. The author's conclusion is that leading Midshipmen is different than leading in both military and non-military environments. Small changes in leadership style will make a Company Officer more effective in the eyes of Midshipmen.