Digital Commons Network^™

Disabled Youth As A Special Social Group, Abdulla Maxmudovich Magrupov Professor, Zarina Furkatovna Uzakova Phd

Central Asian Journal of Education

The article discusses the boundaries of youth, and their interpretation by international organizations and scientists. Various definitions and terms of disability are studied in detail, the characteristic features of youth with disabilities as a separate social group are highlighted.

Which Innovations For A Circular Business Model? A Product Life-Cycle Approach, Elisa Chioatto, Emy Zecca, Alessio D’Amato

Fondazione Eni Enrico Mattei Working Papers

The Circular Economy concept has emerged to face current unsustainable economic trends. Circularity requires to go beyond mainstream linear business models in favour of new design strategies and production processes able to support an efficient use and a continuous flow of resources. Clarifying and promoting tools for embedding circularity in firms’ business models is becoming crucial to increase resource productivity and achieve competitive advantages. Notwithstanding eco-innovation has been recognized as a fundamental link to connect circular economy with business models restructuring, still little consensus exists on the boundaries and interlinkages among the concepts of Eco-Innovation, Circular Economy and Circular Business …

The Circular City And The Building Sector, Chiara Franz

Fondazione Eni Enrico Mattei Working Papers

The essay deals with the issue of urban circularity understood as a subset of the Circular Economy paradigm, highlighting potential and limits of an emerging new model spreading on a global scale. The critical reasoning starts from a very recent production of institutional documents and the still reduced scientific production around and over this topic to propose an unorthodox interpretation on the relationship between circularity and city. The building industry is considered as a key sector to promote and improve circularity in cities and some experimental case studies are presented as a proof of the relevant potentials. The essay attempts …

A Spectral Adjustment For Spatial Confounding, Yawen Guan, Garritt L. Page, Brian J. Reich, Massimo Ventrucci, Shu Yang

Department of Statistics: Faculty Publications

Adjusting for an unmeasured confounder is generally an intractable problem, but in the spatial setting it may be possible under certain conditions. In this paper, we derive necessary conditions on the coherence between the treatment variable of interest and the unmeasured confounder that ensure the causal effect of the treatment is estimable. We specify our model and assumptions in the spectral domain to allow for different degrees of confounding at different spatial resolutions. The key assumption that ensures identifiability is that confounding present at global scales dissipates at local scales. We show that this assumption in the spectral domain is …

Predicting The Effects Of Climate Change On Freshwater Cyanobacterial Blooms Requires Consideration Of The Complete Cyanobacterial Life Cycle, Kathryn L. Cottingham, Kathleen C. Weathers, Holly Ewing, Meredith Greer, Cayelan C. Carey

All Faculty Scholarship

To date, most research on cyanobacterial blooms in freshwater lakes has focused on the pelagic life stage. However, examining the complete cyanobacterial life cycle—including benthic life stages—may be needed to accurately predict future bloom dynamics. The current expectation, derived from the pelagic life stage, is that blooms will continue to increase due to the warmer temperatures and stronger stratification associated with climate change. However, stratification and mixing have contrasting effects on different life stages: while pelagic cyanobacteria benefit from strong stratification and are adversely affected by mixing, benthic stages can benefit from increased mixing. The net effects of these potentially …

Role Of Sirtuins In Modulating Neurodegeneration Of The Enteric Nervous System And Central Nervous System., Pavithra Chandramowlishwaran, Anitha Vijay, Daniel Abraham, Ge Li, Simon Musyoka Mwangi, Shanthi Srinivasan

Student Papers, Posters & Projects

Neurodegeneration of the central and enteric nervous systems is a common feature of aging and aging-related diseases, and is accelerated in individuals with metabolic dysfunction including obesity and diabetes. The molecular mechanisms of neurodegeneration in both the CNS and ENS are overlapping. Sirtuins are an important family of histone deacetylases that are important for genome stability, cellular response to stress, and nutrient and hormone sensing. They are activated by calorie restriction (CR) and by the coenzyme, nicotinamide adenine dinucleotide (NAD+). Sirtuins, specifically the nuclear SIRT1 and mitochondrial SIRT3, have been shown to have predominantly neuroprotective roles in the CNS while …

Multiple Regression Analysis To Predict The Value Of A Residential Building And To Compare With The Conventional Method Values, Dheeraj Vishwanatha Shetty, B. Prakash Rao, Chandra Prakash, S. Vaibhava

Open Access archive

Valuation is an art which has found various use in different sectors. But it is seldom restricted to the boundaries of engineers and architects when it comes to property valuation. In the present study, the market value of a residential building situated in Udupi, Karnataka State, India is predicted using Multiple Regression Analysis (MRA) based on the factors affecting the value of the property. This value is then compared with the values obtained by the conventional approaches of valuation like Land and Building method, Rental Income Approach, Composite Rate method and by detailed estimation approach. The property under valuation has …

Two Dimensional Rotor Blade Numerical Analysis Using Ansys, Shlok Anand, Satvik Shenoy, G. Srinivas

Open Access archive

Turbo-pump is an essential component in any rocket engine. The airfoil (NGTE 10C4 series) section of a rotor blade in the SSME (Space Shuttle Main Engine) was modelled along with a far-field of suitable shape and dimensions. The model was suitably discretized with proper amount of refinement, etc. A numerical simulation was then carried-out using ANSYS software with several iterations of varying inlet boundary conditions to check for any improvement in the performance of the rotor blade. Inlet velocity for optimum functionality of the blade was identified.

Uab Awarded $48.3 Million Nasa Cold Stowage Ii Contract, Alicia Rohan

Browse All News

No abstract provided.

Retrospective Analysis Of Hydrologic Performance Of Green Infrastructure Systems Of The Save The Rain (Str) Program In Syracuse, New York, Priyanka Rajashekar

Theses - ALL

Combined sewer systems and urbanization are significant concerns confronted by many aging cities, including the City of Syracuse, New York. This study addresses the role of impervious surfaces in the direct discharge of surface runoff, domestic and industrial wastewaters into Onondaga Lake and tributaries during wet weather events. Onondaga County addressed the combined surface overflow (CSO) problem in 2009 through a stormwater management program known as "Save the Rain” (STR)." This strategy involved adopting a combination of constructed (gray) and plant-soil-atmosphere based (green) infrastructure (GI) practices to address the CSO issue. GI practices are a proven viable option for stormwater …

Development And Preliminary Clinical Activity Of Pd-1-Guided Ctla-4 Blocking Bispecific Dart Molecule., Alexey Berezhnoy, Bradley J Sumrow, Kurt Stahl, Kalpana Shah, Daorong Liu, Jonathan Li, Su-Shin Hao, Anushka De Costa, Sanjeev Kaul, Johanna Bendell, Gregory M Cote, Jason J Luke, Rachel E Sanborn, Manish R Sharma, Francine Chen, Hua Li, Gundo Diedrich, Ezio Bonvini, Paul A Moore

Articles, Abstracts, and Reports

Combination immunotherapy with antibodies directed against PD-1 and CTLA-4 shows improved clinical benefit across cancer indications compared to single agents, albeit with increased toxicity. Leveraging the observation that PD-1 and CTLA-4 are co-expressed by tumor-infiltrating lymphocytes, an investigational PD-1 x CTLA-4 bispecific DART molecule, MGD019, is engineered to maximize checkpoint blockade in the tumor microenvironment via enhanced CTLA-4 blockade in a PD-1-binding-dependent manner.

Karakterisasi Komposisi Mineral Mud Vulcano Desa Napan Kawasan Perbatasan Republik Indonesia – Republic Democratic Timor Leste Dan Potensi Pemanfaatannya, Gebhardus Djugian Gelyaman, Eduardus Edi

Chimica et Natura Acta

Penelitian karakterisasi kimia terhadap lumpur volcano (mud volcano) desa Napan yang merupakan kawasan perbatasan negara Indonesia dan Timor Leste telah dilakukan. Karakterisasi dilakukan menggunakan instrumentasi XRD, FTIR, XRF. Karakterisasi bertujuan untuk mengetahui komposisi mineral-mineral dalam lumpur sehingga dapat mengeksplorasi potensi pemanfaatan lumpur tersebut didasarkan pada studi literatur riset-riset sejenis yang telah dilakukan. Hasil karakterisasi memperlihatkan penyusun lumpur adalah Cr2O3, Re2O7, ZnO, V2O5, Rb2O, CuO, ZrO2, BaO, SrO, MnO, TiO2, CaO, K2O, Al2O3, Fe2O3, SiO2 yang menyusun mineral-mineral besar yaitu kaolinit, gibsit, kuarsa, kristobalit, ilit, hematit, alumina (corundum). Terdapat tiga mineral yang mendominasi kandungan lumpur yaitu SiO2 (52%) dikuti Fe2O3 (±20,55%) …

Heat And Mass Transfer From Moist Air Flowing Over Moving Water Film I-Theoretical Study., Mohamed Saafan

Mansoura Engineering Journal

Heat and mass transfer between a horizontal moving water film and air flowing over the film is theoretically investigated. In the present theoretical model, the flow of air over the moving water film is assumed to be laminar and steady in Cartesian coordinates. The governing equations are the continuity, momentum, energy and concentration equations. These governing equations set of equations to determine the distribution of the dimensionless velocity, temperature are in a dimensionless form. By introducing new proper independent and dependent variables, the governing equations are transformed to a set of dimensionless differential equations. A computer program in FORTRAN language …

Voltage Controlled-Bandwidth Electrooptic Transverse Phase Modulator With Parallel Electrodes., A. Zaghloul

Mansoura Engineering Journal

An algorithm to find the bandwidth (∆F) and half wave retardation (Vtz) of the transverse phase modulator for several elect optic materials with X, Y AND Z-cuts, is cast where ∆F and Vtz are calculated by determining the propagation constant of anisotropic metal clad electro optic rectangular waveguide before (ᵝa) and after (ᵝy) applied voltage through parallel electrodes. The optimum design with broad ∆F, lower Vtz and smallest propagation losses is done. It is found that KNbO3 without rolating of axes (Z-cut) is the best material but, DaTiO5 with rolating of axes (Y-cut) gives smallest figure of merit (VR/∆F. The …

Lidar Object Detection Utilizing Existing Cnns For Smart Cities, Vinay Ponnaganti

Master's Projects

As governments and private companies alike race to achieve the vision of a smart city — where artificial intelligence (AI) technology is used to enable self-driving cars, cashier-less shopping experiences and connected home devices from thermostats to robot vacuum cleaners — advancements are being made in both software and hardware to enable increasingly real-time, accurate inference at the edge. One hardware solution adopted for this purpose is the LiDAR sensor, which utilizes infrared lasers to accurately detect and map its surroundings in 3D. On the software side, developers have turned to artificial neural networks to make predictions and recommendations with …

End-To-End Learning Utilizing Temporal Information For Vision- Based Autonomous Driving, Dapeng Guo

Master's Projects

End-to-End learning models trained with conditional imitation learning (CIL) have demonstrated their capabilities in driving autonomously in dynamic environments. The performance of such models however is limited as most of them fail to utilize the temporal information, which resides in a sequence of observations. In this work, we explore the use of temporal information with a recurrent network to improve driving performance. We propose a model that combines a pre-trained, deeper convolutional neural network to better capture image features with a long short-term memory network to better explore temporal information. Experimental results indicate that the proposed model achieves performance gain …

Snowpack Reconstruction In North America Using Tree-Rings, Bethany Lynn Coulthard, Kevin J. Anchukaitis, Gregory T. Pederson, Edward Cook, Jeremy Littell, Dan J. Smith

Geoscience Faculty Research

Climate change has contributed to recent declines in mountain snowpack and earlier runoff, which in turn has intensified hydrological droughts in western North America. Climate model projections suggest that continued and severe snowpack reductions are expected over the 21st century, with profound consequences for ecosystems and human welfare. Yet the current understanding of trends and variability in mountain snowpack is limited by the relatively short and strongly temperature forced observational record. Motivated by the urgent need to better understand snowpack dynamics in a long-term, spatially coherent framework, here we examine snow-growth relationships in western North American tree-ring chronologies. We present …

Biomolecular Processing Platform And Uses Thereof, Steven A. Soper, Francis Barany, George Grills, Robin Mccarley, Collin J. Mckinney, Dorel Moldovan, Michael C. Murphy, Dimitris Nikitopoulos, Sunggook Park, Elizabeth J. Podlaha-Murphy

College of Science Patents

The present invention relates to a device comprising a biomolecular processor. Each biomolecular processor has one or more bioreactor chambers defined by a solid substrate; a support structure within each bioreactor; a cleaving enzyme immobilized to the support structure and operatively positioned within the bioreactor chamber to cleave monomer or multimer units of a biopolymer molecule operatively engaged by the cleaving enzyme; and one or more time-of-flight channels formed in the solid substrate and fluidically coupled to said one or more bioreactor chambers. Each of the time-of-flight channels have two or more sensors including at least (i) a first sensor …

Research Output Of Dibrugarh University: A Scientometric Analysis Based On Scopus Database, Dhruba Jyoti Borgohain

Library Philosophy and Practice (e-journal)

Scopus is the largest bibliographic (abstract and citation) database of peer-reviewed literature launched in 2004 by Elsevier. In this study the research output of Dibrugarh University, a pioneer institute of higher education in North-East India is analysed based on data collected from Scopus database for thirty years i.e., from 1982 to 2020. A total of 1642 documents with the affiliation ID of Dibrugarh University. This study endeavours to visualize year wise distribution of publication and find out Annual Growth Rate (AGR), the most prolific author on the basis of H-index and number of publications, the top collaborating nations and affiliations …

The Role Of Exposure To Communication Channels, Institutional Trust And Moral Norm In Predicting Pm2.5 Risk-Reduction Intention In China: A Study Of The Theory Of Planned Behavior., Tong Lin

Theses - ALL

Understanding and encouraging people to perform PM2.5 risk-reduction behaviors is essential to reduce the health risks caused by PM2.5 and to promote a healthy lifestyle. This study aims to predict the effects of psychological factors (attitude, perceived behavioral control, subjective norm and moral norm) on individual’s PM2.5 risk-reduction intention. It also looks into how contextual factors (exposure to communication channels and institutional trust) can influence behavioral intention and make contributions to the predicting powers of the theory of planned behavior. To achieve this goal, I analyze the secondary survey data that randomly selected residents living in three regions known for …

Adaptive Fuzzy Logic Controller For Dc-Dc Converters., Sahar Sidky Kaddah, Ahmed Rubaai

Mansoura Engineering Journal

Two adaptive fuzzy logic controller (AFLC) topologies for the DC-DC converter are developed and presented in this paper. They essentially consist of combining fuzzy inference system and neural networks and implementing them within the framework of adaptive networks. The architecture of the AFLC along with the learning rule, which is used to give an adaptive and learning structure to a fuzzy controller, is also described. The emphasis here is on fuzzy-neural-network control philosophies in designing a novel controller for the DC-DC converter that allows the benefits of neural network structure to be realized without sacrificing the intuitive nature of fuzzy …

Supporting Multimedia Services Over A Token-Passing Bus Local Area Network., Hassan Soliman, T. El-Danaf

Mansoura Engineering Journal

Besides data transactions such as web surfing and e-commerce, the Internet today has been experiencing growth in audio and video streaming with the emergence of multimedia tools. However, the existing network infrastructure (e.g., Ethernet) only offers a single best effort class of service without any guarantees on delay variation, packet losses or available bandwidth. This can adversely impact the end-to-end performance of multimedia applications. Accordingly, a different class of Media Access Control (MAC) protocols must be used to support multimedia services over the existing Local Area Networks (LANs) without seeking to ehange it [3]. The token-passing bus was introduced to …

Securing User Interaction Channels On Mobile Platform Using Arm Trustzone, Amit Ahlawat

Dissertations - ALL

Smartphones have become an essential part of our lives, and are used daily forimportant tasks like banking, shopping, and making phone calls. Smartphones provide several interaction channels which can be affected by a compromised mobile OS. This dissertation focuses on the user interaction channels of UI input and audio I/O. The security of the software running on smartphones has become more critical because of widespread smartphone usage. A technology called TEE (Trusted Execution Environment) has been introduced to help protect users in the event of OS compromise, with the most commonly deployed TEE on mobile devices being ARM TrustZone.

This …

Nonparametric Identification And Estimation Of Stochastic Frontier Models, Jun Cai

Dissertations - ALL

This dissertation studies nonparametric identication and estimation of stochastic frontiermodels. It is composed of three chapters. The rst chapter investigates the identication and estimation of a cross sectional stochastic frontier model with Laplacian errors and unknown variance, which is built on a nonparametric density deconvolution strategy. Chapter two studies a zero-ineciency stochastic frontier model utilizing a penalized sieve estimator, which allows flexible function forms and arbitrary distributions of ineciency. The third chapter explores identication and estimation of a nonparametric panel stochastic frontier model based on Kotlarski's Lemma and moments derived from conditional characteristic functions.

Discrete-Time Stable Geometric Controller And Observer Designs For Unmanned Vehicles, Reza Hamrah

Dissertations - ALL

In the first part of this dissertation, we consider tracking control of underactuated systems on the tangent bundle of the six-dimensional Lie group of rigid body motions, SE(3). We formulate both asymptotically and finite-time stable tracking control schemes for underactuated rigid bodies that have one translational and three rotational degrees of freedom actuated, in discrete time. Rigorous stability analyses of the tracking control schemes presented here guarantee the nonlinear stability of these schemes. The proposed schemes here are developed in discrete time as it is more convenient for onboard computer implementation and ensures stability irrespective of the sampling period. A …

Reinforcement Learning For Mobile Robot Collision Avoidance In Navigation Tasks, Zilong Jiao

Dissertations - ALL

Collision avoidance is fundamental for mobile robot navigation. In general, its solutions include: {\it map-based} and {\it mapless approaches.} In the map-based approach, robots pre-plan collision-free paths based on an environment map and follow their paths during navigation. On the other hand, the mapless approach requires robots to avoid collisions without referencing to an environment map. This thesis first studies the map-based approach for multiple robots to collectively build environment maps. In this study, a robot following a pre-planned path may encounter unexpected obstacles, such as other moving robots and obstacles inaccurately presented on an environment map. This motivates us …

User Authentication Across Devices, Modalities And Representation: Behavioral Biometric Methods, Amith Kamath Kamath Belman

Dissertations - ALL

Biometrics eliminate the need for a person to remember and reproduce complex secretive information or carry additional hardware in order to authenticate oneself. Behavioral biometrics is a branch of biometrics that focuses on using a person’s behavior or way of doing a task as means of authentication. These tasks can be any common, day to day tasks like walking, sleeping, talking, typing and so on. As interactions with computers and other smart-devices like phones and tablets have become an essential part of modern life, a person’s style of interaction with them can be used as a powerful means of behavioral …

4d Printing Shape Memory Polymers For Biomedical Applications, Kathleen Pieri

Dissertations - ALL

The development of 3D printing techniques using shape-memory polymers (SMPs) hascreated potentials for creating dynamic, three-dimensional structures that can be produced rapidly and be customized for specific and complex architectures. These qualities have made 3D printing a popular fabrication method for future SMP parts and devices. While important information about is known about the effects of printing parameters on 3D printed SMPs, there remains a gap in the understanding of these parameters on fundamental shape memory properties. Understanding the shape memory behavior of the SMPs post-printing can implicate potential advantages or weaknesses in using these materials in biomedical applications. Furthermore, …

Learning Semantic Information From Multimodal Data Using Deep Neural Networks, Krittaphat Pugdeethosapol

Dissertations - ALL

During the last decades, most collective information has been digitized to form an immense database distributed across the Internet. This can also be referred to as Big data, a collection of data that is vast in volume and still growing with time. Nowadays, we can say that Big data is everywhere. We might not even realize how much it affects our daily life as it is applied in many ways, ranging from online shopping, music streaming, TV streaming, travel and transportation, energy, fighting crime, to health care. Many organizations and companies have been collecting and analyzing large volumes of data …

Model-Based Approach For Product Requirement Representation And Generation In Product Lifecycle Management, Omer Yaman

Dissertations - ALL

The requirement specification is an official documentation activity, which is a collection of certain information to specify the product and its life-cycle activities in terms of functions, features, performance, constraints, production, maintenance, disposal process, etc. It contains mainly two phases; product requirement generation and representation. Appropriate criteria for the product design and further life-cycle activities are determined based on the requirement specification as well as the interrelations of product requirements with other life-cycle information such as; materials, manufacturing, working environments, finance, and regulations. The determination of these criteria is normally error-prone. It is difficult to identify and maintain the completeness …