Digital Commons Network^™

Unravelling Inventorship, Toshiko Takenaka

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Inventorship, who made an invention, is one of the most important concepts under the U.S. patent system. Incorrect inventorship determinations result in patent invalidity not only because U.S. Constitution requires granting patents to true inventors, but also first-inventorto- file novelty inherited many aspects of first-to-invent novelty which depended on inventorship whether to include prior inventions as prior art. Correcting inventorship may result in sharing patent exclusivity with competitors, which forfeits profits necessary to recover expensive development costs. However, the standard to determine inventorship has been called muddy by judges and commentators because neither the Patent Act nor case law provide …

Violence Everywhere: How The Current Spectacle Of Black Suffering, Police Violence, And The Violence Of Judicial Interpretation Undermine The Rule Of Law, David B. Owens

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No abstract provided.

Modeling Through, Ryan Calo

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Theorists of justice have long imagined a decision-maker capable of acting wisely in every circumstance. Policymakers seldom live up to this ideal. They face well-understood limits, including an inability to anticipate the societal impacts of state intervention along a range of dimensions and values. Policymakers cannot see around corners or address societal problems at their roots. When it comes to regulation and policy-setting, policymakers are often forced, in the memorable words of political economist Charles Lindblom, to “muddle through” as best they can.

Powerful new affordances, from supercomputing to artificial intelligence, have arisen in the decades since Lindblom’s 1959 article …

Chapter Eight - Technology And The Law: The Automobile (By James Willard Hurst), Bj Ard, William J. Novak

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In this chapter we are going to talk about some of the automobile effects that it has had. Upon the law, and some of the effects that the law has had upon the automobile. We could undoubtedly open up some worthwhile lines of thought, if we talked about the automobile in relation to, certain brooder problems of which it is a part: for example, the effects of the internal combustion the growth engine, or of all types of communication. But we shall have enough on our hands if we stick to the automobile, and even so in the limits of …

Impact Of Dry, Particle-Size Fractionation On Protein And Amino Acid Content Of Three Seaweed Species, Laura Healy, Xianglu Zhu, Milica Pojic, Mahesa Poojary, James Curtin, Uma Tiwari, Carl Sullivan, Brijesh K. Tiwari

Articles

Market demand for “clean and green” food products is increasing, and so there is growing opportunity for the seaweed aquaculture industry to take a position as a key food producer in this area. In this study, in order to investigate the impact of dry fractionation on seaweed protein qualities, dried and milled seaweed powder from three seaweed species was sieved into 6 fractions (F1 to F6) of different particle size from >710 μm toμm. True protein, total protein and amino acid profiles were analyzed to evaluate the protein content and quality of three brown seaweed species commercially harvested in Ireland; …

Potential Interactions Between Metal-Based Phenanthroline Drugs And The Unfolded Protein Response Endoplasmic Reticulum Stress Pathway, Tadhg O'Leary, Pauraic Mccarron, Michael Devereux, Steve Meaney

Articles

The unfolded protein response has recently been implicated as a mechanism by which 1,10-phenanthrolinecontaining coordination compounds trigger cell death. We explored the interaction of two such compounds —one containing copper and one containing manganese—with endoplasmic reticulum (ER) stress. Pretreatment with anisomycin significantly enhanced the cytotoxic activity of both metal-based compounds in A2780, but only the copper-based compound in A549 cells. The effects of pretreatment with tunicamycin were dependent on the nature of the metal center in the compounds. In A2780 cells, the cytotoxic action of the copper compound was reduced by tunicamycin only at high concentration. In contrast, in A549 …

An Improved Wild Horse Optimization Algorithm For Reliability Based Optimal Dg Planning Of Radial Distribution Networks, Mohammed Hamouda Ali, Salah Kamel, Mohamed H. Hassan, Marcos Tostado-Véliz, Hossam Zawbaa

Articles

This paper introduces a novel technique for optimal distribution system (DS) planning with distributed generation (DG) systems. It is being done to see how active and reactive power injections affect the system’s voltage profile and energy losses. DG penetration in the power systems is one approach that has several advantages such as peak savings, loss lessening, voltage profile amelioration. It also intends to increase system reliability, stability, and security. The main goal of optimal distributed generation (ODG) is a guarantee to achieve the benefits mentioned previously to increase the overall system efficiency. For extremely vast and complicated systems, analytical approaches …

Investigation Of The Suitability Of A Commercial Radiation Sensor For Pretherapy Dosimetry Of Radioiodine Treatment Patients, Janet O'Callaghan, Dervil Cody, Jennie Cody

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Radioiodine (I-131) therapy is routinely used to treat conditions of the thyroid. Dosimetry planning in advance of I-131 therapy has been shown to improve patient treatment outcomes. However, this pretherapy dosimetry step requires multiple outpatient appointments and is not feasible for patients living at greater distances. Here, the feasibility of a commercially available smartphone-operated radiation sensor (Smart Geiger Pro, Technonia) for at-home patient pretherapy dosimetry has been investigated. The influence of both treatment-specific parameters (radioisotope activity, gamma photon energy, patient size) and external factors (sensor placement and motion) on the ability of the radiation sensor to accurately quantify radiation dose …

Preprocessing Strategies For Sparse Infrared Spectroscopy: A Case Study On Cartilage Diagnostics, Valeria Tafintseva, Tiril Aurora Lintvedt, Johanne Heitmann Solheim, Boris Zimmermann, Hafeez Ur Rehman, Vesa Virtanen, Rubina Shaikh, Ervin Nippolainen, Isaac Afara, Simo Saarakkala, Lassi Rieppo, Patrick Krebs, Polina Fomina, Boris Mizaikoff, Achim Kohler

Articles

The aim of the study was to optimize preprocessing of sparse infrared spectral data. The sparse data were obtained by reducing broadband Fourier transform infrared attenuated total re-flectance spectra of bovine and human cartilage, as well as of simulated spectral data, comprising several thousand spectral variables into datasets comprising only seven spectral variables. Different preprocessing approaches were compared, including simple baseline correction and normalization procedures, and model-based preprocessing, such as multiplicative signal correction (MSC). The optimal preprocessing was selected based on the quality of classification models established by partial least squares discriminant analysis for discriminating healthy and damaged cartilage samples. …

Deep Residual Policy Reinforcement Learning As A Corrective Term In Process Control For Alarm Reduction: A Preliminary Report, Ammar N. Abbas, Georgios C. Chasparis, John Kelleher

Articles

Conventional process controllers (such as proportional integral derivative controllers and model predictive controllers) are simple and effective once they have been calibrated for a given system. However, it is difficult and costly to re-tune these controllers if the system deviates from its normal conditions and starts to deteriorate. Recently, reinforcement learning has shown a significant improvement in learning process control policies through direct interaction with a system, without the need of a process model or the system characteristics, as it learns the optimal control by interacting with the environment directly. However, developing such a black-box system is a challenge when …

Taking Misappropriation Seriously: State Common Law Disgorgement Actions For Insider Trading, Jeanne L. Schroeder

Articles

In two recent cases, Kokesh v. SEC, and Liu v. SEC, the U.S. Supreme Court cut back substantially on one of the Securities and Exchange Commission’s most important enforcement powers. This is the ability to seek disgorgement from persons who violate the federal securities laws, depriving them of their ill-gotten gains.

Previously, the Supreme Court had developed a largely property-based theory of insider trading. Why is insider trading evil? Because material nonpublic information is property that the trader has fraudulently obtained and must not use for his own purposes

In this article I bring these thoughts together. I …

In-Flow Dynamics Of An Area-Difference-Energy Spring-Particle Red Blood Cell Model On Non-Uniform Grids, Brendan Walsh, Fergal Boyle

Articles

In this paper the area-difference-energy spring-particle (ADE-SP) red blood cell (RBC) structural model developed by Chen and Boyle is coupled with a lattice Boltzmann flux solver to simulate RBC dynamics. The novel ADE-SP model accounts for bending resistance due to the membrane area difference of RBCs while the lattice Boltzmann flux solver offers reduced computational runtimes through GPU parallelisation and enabling the employment of non-uniform meshes. This coupled model is used to simulate RBC dynamics and predictions are compared with existing experimental measurements. The simulations successfully predict tumbling, tank-treading, swinging and intermittent behaviour of an RBC in shear flow, and …

Tidal Current Turbine Blade Optimisation With Improved Blade Element Momentum Theory And A Non-Dominated Sorting Genetic Algorithm, Eng Jet Yeo, David Kennedy, Fergal O'Rourke

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Tidal current energy has the advantage of predictability over most of the other renewable energy resources. However, due to the harsh operating environment and complicated site conditions, developments in this domain have been gradual. Paramount to these points is device design and optimisation of hydrodynamic performance. Recent developments in the correction models of BEM theory have further improved the accuracy of the prediction model. Using an improved blade element momentum theory model that is capable of accurately capturing the downwash angle and combining it with a well-developed and reliable non-dominated sorting genetic algorithm model, an effective and efficient tidal current …

Determining Realistic U-Values To Substitute Default U-Values In Epc Database To Make More Representative; A Case-Study In Ireland., Kumar Raushan, Ciara Ahern, Brian Norton

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Energy Performance Certificates (EPCs) are the foremost source of information on the energy performance of the EU’s building stock. Inherent in all EPC methodologies are trade-offs between reproducibility, accuracy, assessor expertise and costs. During an assessment, where accurate building data acquisition would be excessively invasive or costly, nationally specified default values are used.

Default values are necessarily pessimistic to; avoid a better-than-merited rating, enable homeowners to know the advantage of energetic refurbishment, encourage homeowners to record upgrades informing EPCs, and propel assessors to seek-out information to provide an accurate rating.

This work reviews default U-value use across Europe and the …

Understanding A Low Vitamin D State In The Context Of Covid-19, James Bernard Walsh, Daniel Mccartney, Eamon Laird, Kevin Mccarroll, Declan G. Byrne, Martin Healy, Paul O'Shea, Rose Anne Kenny, John L. Faul

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While a low vitamin D state has been associated with an increased risk of infection by SARS-CoV-2 in addition to an increased severity of COVID-19 disease, a causal role is not yet established. Here, we review the evidence relating to i) vitamin D and its role in SARS-CoV-2 infection and COVID-19 disease ii) the vitamin D status in the Irish adult population iii) the use of supplemental vitamin D to treat a deficient status and iv) the application of the Bradford-Hill causation criteria. We conclude that reverse causality probably makes a minimal contribution to the presence of low vitamin D …

In Vivo Activity Of Metal Complexes Containing 1,10-Phenanthroline And 3,6,9-Trioxaundecanedioate Ligands Against Pseudomonas Aeruginosa Infection In Galleria Mellonella Larvae, Megan O'Shaughnessy, Magdalena Piatek, Pauraic Mccarron, Malachy Mccann, Michael Devereux, Kevin Kavanagh, Orla L. Howe

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Drug-resistant Pseudomonas aeruginosa is rapidly developing resulting in a serious global threat. Immunocompromised patients are specifically at risk, especially those with cystic fibrosis (CF). Novel metal complexes incorporating 1,10-phenanthroline (phen) ligands have previously demonstrated antibacterial and anti-biofilm effects against resistant P. aeruginosa from CF patients in vitro. Herein, we present the in vivo efficacy of {[Cu(3,6,9-tdda)(phen)₂]·₃H₂O·EtOH}_n (Cu-tdda-phen), {[Mn(3,6,9-tdda)(phen)₂]·₃H₂O·EtOH}_n (Mn-tdda-phen) and [Ag₂(3,6,9-tdda)(phen)₄]·EtOH (Ag-tdda-phen) (tddaH₂ = 3,6,9-trioxaundecanedioic acid). Individual treatments of these metal-tdda-phen complexes and in combination with the established antibiotic gentamicin were …

Bioactive Peptides From Algae: Traditional And Novel Generation Strategies, Structure-Function Relationships, And Bioinformatics As Predictive Tools For Bioactivity, Jack O'Connor, Marco Garcia-Vaquero, Steve Meaney, Brijesh Kumar Tiwari

Articles

Over the last decade, algae have been explored as alternative and sustainable protein sources for a balanced diet and more recently, as a potential source of algal-derived bioactive peptides with potential health benefits. This review will focus on the emerging processes for the generation and isolation of bioactive peptides or cryptides from algae, including: (1) pre-treatments of algae for the extraction of protein by physical and biochemical methods; and (2) methods for the generation of bioactive including enzymatic hydrolysis and other emerging methods. To date, the main biological properties of the peptides identified from algae, including anti-hypertensive, antioxidant and antiproliferative/ …

Vitamin D Status And Mortality From Sars Cov-2: A Prospective Study Of Unvaccinated Caucasian Adults, Robert Barrett, Modar Youssef, Irfan Shah, Julia Ioana, Abdullah Al Lawati, Abdullah Bukhari, Suzanne Hegarty, Liam J. Cormican, Eoin Judge, Conor M. Burke, Catriona Cody, Joseph Feely, Katrina Hutchinson, William Tormey, Eoghan O’ Neill, Aoife O'Shea, Meabh Connolly, Daniel Mccartney, John L. Faul

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COVID-19 and a low vitamin D state share common risk factors, which might explain why vitamin D deficiency has been linked with higher COVID-19 mortality. Moreover, measures of serum vitamin D may become lower during systemic inflammatory responses, further confounding the association via reverse causality. In this prospective study (recruited over 12 months), we examined whether the association between a low vitamin D state and in-hospital mortality due to SARS-CoV-2 pneumonia in unvaccinated subjects is explained by (i) the presence of shared risk factors (e.g., obesity, advanced age) or (ii) a reduction in serum 25(OH)D due to COVID-19 (i.e., reverse …

Modelling And Design Of Holographic Optical Elements For Beam-Coupling Applications For A Range Of Incident Beam Angles, Dipanjan Chakraborty, Rosen Georgiev, Sinéad Aspell, Vincent Toal, Izabela Naydenova, Dervil Cody, Suzanne Martin

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Theoretical modelling has been used to calculate the holographic recording beam angles required in air (at any recording wavelength) to produce a Volume Holographic Optical Element (VHOE) for any defined input and output beam angles. The approach is used to facilitate the design and fabrication of diffractive coupling elements through a holographic process that avoids the use of coupling prisms during recording and will help in the design of recording arrangements that better suit the mass production of low-cost elements, especially those designed for non-normal incidence. In this study, the recording angles needed for a range of recording wavelengths were …

Application Of Advanced Non-Linear Spectral Decomposition And Regression Methods For Spectroscopic Analysis Of Targeted And Non-Targeted Irradiation Effects In An In-Vitro Model, Ciara Slattery, Khanh Nguyen, Laura Shields, Isabel Vega Carrascal, Sean Singleton, Fiona Lyng, Brendan Mcclean, Aidan Meade

Articles

Irradiation of the tumour site during treatment for cancer with external-beam ionising radiation results in a complex and dynamic series of effects in both the tumour itself and the normal tissue which surrounds it. The development of a spectral model of the effect of each exposure and interaction mode between these tissues would enable label free assessment of the effect of radiotherapeutic treatment in practice. In this study Fourier transform Infrared microspectroscopic imaging was employed to analyse an in-vitro model of radiotherapeutic treatment for prostate cancer, in which a normal cell line (PNT1A) was exposed to low-dose X-ray radiation from …

Regional Variations And Temporal Trends Of Childhood Myopia Prevalence In Africa: A Systematic Review And Meta-Analysis, Emmnuel Kobia Acquah, Daniel Ian Flitcroft, Prince Kwaku Akowuah, Gareth Lingham, James Loughman

Articles

Purpose: To provide contemporary and future estimates of childhood myopia prevalence in Africa.

Methods: A systematic online literature search was conducted for articles on childhood (≤18 years) myopia (spherical equivalent [SE] ≤ −0.50D; high myopia: SE ≤ −6.00D) in Africa. Population-or school-based cross-sectional studies published from 1 Jan 2000 to 30 May 2021 were included. Meta-analysis using Freeman–Tukey double arcsine transformation was performed to estimate the prevalence of childhood myopia and high myopia. Myopia prevalence from subgroup analyses for age groups and settings were used as baseline for generating a prediction model using linear regression.

Results: Forty-two studies from 19 …

Preclassification Of Broadband And Sparse Infrared Data By Multiplicative Signal Correction Approach, Hafeez Ur Rehman, Valeria Tafintseva, Boris Zimmermann, Johanne Heitmann Solheim, Vesa Virtanen, Rubina Shaikh, Ervin Nippolainen, Isaac Afara, Simo Saarakkala, Lassi Rieppo, Patrick Krebs, Polina Fomina, Boris Mizaikoff, Achim Kohler

Articles

Preclassification of raw infrared spectra has often been neglected in scientific literature. Separating spectra of low spectral quality, due to low signal-to-noise ratio, presence of artifacts, and low analyte presence, is crucial for accurate model development. Furthermore, it is very important for sparse data, where it becomes challenging to visually inspect spectra of different natures. Hence, a preclassification approach to separate infrared spectra for sparse data is needed. In this study, we propose a preclassification approach based on Multiplicative Signal Correction (MSC). The MSC approach was applied on human and the bovine knee cartilage broadband Fourier Transform Infrared (FTIR) spectra …

Classification Of Cytological Samples From Oral Potentially Malignant Lesions Through Raman Spectroscopy: A Pilot Study, Isha Behl, Genecy Calado, Anika Vishwakarma, Damien Traynor, Stephen Flint, Sheila Galvin, Claire M. Healy, Marina Leite Pimentel, Alison Malkin, Hugh J. Byrne, Fiona M. Lyng

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The potential of Raman microspectroscopy of exfoliated cells has been demonstrated for oral cancer diagnosis. In this study, brush biopsies were collected from the buccal mucosa/tongue of healthy donors (n = 31) and from oral mucosal dysplastic lesions (n = 31 patients). Raman spectra were acquired and subjected to partial least squares-discriminant analysis (PLS-DA). The patient samples could be differentiated from healthy donor samples with 96% sensitivity and 95% specificity. Furthermore, PLS-DA models were developed based on cytopathological and histopathological assessment. Low and high grade dysplasia could be discriminated with 64% sensitivity and 65% specificity based on cytopathological assessment, while …

Dynamic Effect Of Disintegrated Energy Consumption And Economic Complexity On Environmental Degradation In Top Economic Complexity Economies, Tomiwa Sunday Adebayo, Mehmet Altuntaş, Sanjar Goyibnazarov, Ephraim Bonah Agyekum, Hossam Zawbaa, Salah Kamel

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The current paper explores the influence of disintegrated energy and economic complexity on CO2 emissions (CO2) in the top economic complexity economies. The model also incorporates other drivers of CO2, such as technological innovation and economic growth. The current research utilizes data stretching from 1993 to 2018. The research employed Westerlund cointegration, fully modified OLS (FMOLS), dynamic OLS (DOLS), and method of moments quantile regression (MMQR) to evaluate these interconnections. The outcomes of the slope heterogeneity and cross-sectional dependence affirmed the use of second-generation techniques. The study confirmed the long-run association between CO2 and the regressors. The results of the …

Formation Of Gold Nanoparticle Self-Assembling Films In Various Polymer Matrices For Sers Substrates, Ksenia A. Maleeva, Ilia E. Kaliya, Anton P. Tkach, Anton A. Babaev, Michail Baranov, Kevin Berwick, Tatiana S. Perova, Alexander V. Baranov, Kirill V. Bogdanov

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Surface-enhanced Raman spectroscopy (SERS) is regarded as a versatile tool for studying the composition and structure of matter. This work has studied the preparation of a SERS substrate based on a self-assembling plasmonic nanoparticle film (SPF) in a polymer matrix. Several synthesis parameters for the SPF are investigated, including the size of the particles making up the film and the concentration and type of the self-assembling agent. The result of testing systems with different characteristics is discussed using a model substance (pseudo isocyaniniodide). These models can be useful in the study of biology and chemistry. Research results contain the optimal …

Analysis Of Power Quality Issues Of Different Types Of Household Applications, T.M. Thamizh Thentral, R. Palanisamy, S. Usha, Mohit Bajaj, Hossam Zawbaa, Salah Kamel

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Most of the loads used in our day-to-day life are non-linear in nature. To investigate the performance of various non-linear loads, a laboratory setup on different load combinations such as light, fan and drive system in this work. The unbalance in supply voltages, supply current and frequency, reduction in power factor and total harmonic distortion for current and voltages are monitored through this lab setup and also the results obtained from these systems are discussed in this paper. To check the nature of voltage, current, reactive power and power factor in real-time systems, a turret punch machine incorporated with several …

The Effect Of Transverse Ocular Magnification Adjustment On Macular Thickness Profile In Different Refractive Errors In Community-Based Adults, Hamed Niyazmand, Gareth Lingham, Paul G. Sanfilippo, Magdalena Blaszkowska, Maria Franchina, Seyhan Yazar, David Alonso-Caneiro, David Mackey, Samantha Sze-Yee Lee

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Purpose Changes in retinal thickness are common in various ocular diseases. Transverse magnification due to differing ocular biometrics, in particular axial length, affects measurement of retinal thickness in different regions. This study evaluated the effect of axial length and refractive error on measured macular thickness in two community-based cohorts of healthy young adults.

Methods A total of 2160 eyes of 1247 community-based participants (18–30 years; 23.4% myopes, mean axial length = 23.6mm) were included in this analysis. Macular thickness measurements were obtained using a spectral-domain optical coherence tomography (which assumes an axial length of 24.385mm). Using a custom program, retinal …

Normative Data On The Foveal Avascular Zone In A Young Healthy Irish Population Using Optical Coherence Tomography Angiography, Susan M. O'Shea, Veronica O'Dwyer, Grainne Scanlon

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Purpose: To establish normative data on the size, shape and vascular profile of the foveal avascular zone (FAZ) in a young, healthy, Irish population, using the Cirrus 5000 HD-OCT. Certain diseases may alter FAZ appearance. Normative databases provide normal baseline values for comparison, thus improving diagnostic ability.

Methods: One hundred and fifty-four subjects aged 18–35 years old were recruited. Superficial FAZ area, diameter, circularity, ganglion cell layer, central macular thickness (CMT), vascular perfusion and density were measured using the Cirrus 5000. Axial length was measured with the IOL Master and blood pressure was measured using the Omron sphygmomanometer. …

Performance Of An Adaptive Aggregation Mechanism In A Noisy Wlan Downlink Mu-Mimo Channel, Lemlem Kassa, Mark Davis, Jianhua Deng, Jingye Cai

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This paper investigates an adaptive frame aggregation technique in the medium access control (MAC) layer for the Wireless Local Area Network (WALN) downlink Multi-User–Multiple-In Multiple-Out (MU-MIMO) channel. In tackling the challenges of heterogeneous traffic demand among spatial streams, we proposed a new adaptive aggregation algorithm which has a superior performance over the baseline First-in–First-Out (FIFO) scheme in terms of system throughput performance and channel utilization. However, this earlier work does not consider the effects of wireless channel error. In addressing the limitations of this work, this study contributes an enhanced version of the earlier model considering the effect of channel …

A Worked Example Of Braun And Clarke’S Approach To Refexive Thematic Analysis, David Byrne

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Since the publication of their inaugural paper on the topic in 2006, Braun and Clarke’s approach has arguably become one of the most thoroughly delineated methods of conducting thematic analysis (TA). However, confusion persists as to how to implement this specifc approach to TA appropriately. The authors themselves have identifed that many researchers who purport to adhere to this approach—and who reference their work as such—fail to adhere fully to the principles of ‘refexive thematic analysis’ (RTA). Over the course of numerous publications, Braun and Clarke have elaborated signifcantly upon the constitution of RTA and attempted to clarify numerous misconceptions …