Miracle-dz/UniFAR-FTUs huggingface dataset:
Memristive Logic‐in‐Memory Integrated Circuits for Energy‐Efficient Flexible Electronics

A memristive nonvolatile logic‐in‐memory circuit can provide a novel energy‐efficient computing architecture for battery‐powered flexible electronics. However, the cell‐to‐cell interference existing in the memristor crossbar array impedes both the reading process and parallel computing. Here, it is demonstrated that integration of an amorphous In‐Zn‐Sn‐O (a‐IZTO) semiconductor‐based selector (1S) device and a poly(1,3,5‐trivinyl‐1,3,5‐trimethyl cyclotrisiloxane) (pV3D3)‐based memristor (1M) on a flexible substrate can overcome these problems. The developed a‐IZTO‐based selector device, having a Pd/a‐IZTO/Pd structure, exhibits nonlinear current–voltage (I–V) characteristics with outstanding stability against electrical and mechanical stresses. Its underlying conduction mechanism is systematically determined via the temperature‐dependent I–V characteristics. The flexible one‐selector−one‐memristor (1S–1M) array exhibits reliable electrical characteristics and significant leakage current suppression. Furthermore, single‐instruction multiple‐data (SIMD), the foundation of parallel computing, is successfully implemented by performing NOT and NOR gates over multiple rows within the 1S–1M array. The results presented here will pave the way for development of a flexible nonvolatile logic‐in‐memory circuit for energy‐efficient flexible electronics.
Monoclonal Antibody Production and Purification

Monoclonal antibody (mAb) therapy is a form of immunotherapy that uses mAbs to bind mono-specifically to certain cells or proteins. This may then stimulate the patient's immune system to attack those cells. MAbs are currently used to treat medical conditions such as cancer, diabetes, arthritis, psoriasis, and Crohn’s Disease, but have the potential to treat countless diseases and disorders. In 2015, the mAb market was valued at $85.4 billion, and is expected to reach $138.6 billion by 2024.1 In manufacturing, mAbs are typically produced in suspension in a series of fed-batch bioreactors using genetically engineered cells originally obtained from Chinese Hamster Ovaries (CHO). 2 In this proposal, two upstream bioreactor designs were analyzed for economic comparison given an annual production goal of 100 kg of mAb, with the first design culminating in a 20,000 L volume at low mAb titer and the second design culminating with a 2,000 L volume at high mAb titer. Following upstream mAb production, the protein was purified to meet clinical FDA standards using a series of downstream purification techniques, including centrifugation, filtration, and chromatography. The two designs can be modeled for both an on-patent and off-patent mAb in order to ensure long-term economic viability. In this project, the drug was modeled based on Ocrevus (ocrelizumab), a humanized therapeutic mAb brought to market in 2017 that targets a CD20-positive B cell to treat the symptoms of both primary progressive and relapsing Multiple Sclerosis.3 For an off-patent drug, it is recommended that the mAb be priced at $35,000 per 1200 mg annual treatment in order to earn a 15% Internal Rate of Return (IRR) within 5 years of market uptake. For an on-patent drug, a price of $65,000 per 1200 mg treatment should be used to recover the R&D costs of developing a new drug and sunk cost of past unsuccessful drugs. After analyzing both designs, it was concluded that the second, smaller design scheme is more scalable, less risky, and more cost effective for the production of both the onand off-patent drugs. Disciplines Biochemical and Biomolecular Engineering | Chemical Engineering | Engineering This working paper is available at ScholarlyCommons: https://repository.upenn. edu/cbe_sdr/104 Monoclonal Antibody Production and Purification Hope McMahon Jessica Schwartz Shritama Ray Proposed by: Dr. Jeffrey Cohen Project Advisor: Dr. John Crocker University of Pennsylvania School of Engineering Department of Chemical and Biomolecular Engineering April 17, 2018
Hypoglycemic effect and mechanism of isoquercitrin as an inhibitor of dipeptidyl peptidase-4 in type 2 diabetic mice

Glucagon-like peptide (GLP)-1 is a potent glucose-dependent insulinotropic gut hormone released from intestinal L cells. The aim of this study was to investigate isoquercitrin as an inhibitor of dipeptidyl peptidase IV (DPP-IV) and determine whether it affects GLP-1 release in normal mice and NCI-H716 cells. In vitro, we used chromogenic substrate method detection methods to measure DPP-IV. We found that isoquercitrin was a competitive inhibitor, with IC50 and Ki values of 96.8 and 236 μM, respectively. Isoquercitrin and sitagliptin also stimulated GLP-1 release in NCI-H716 cells. In vivo, a type 2 diabetic mouse model was established, and oral treatment with different concentration of isoquercitrin and sitagliptin for 8 weeks significantly decreased the fasting blood glucose level. The weight and the levels of serum GLP-1 and insulin of the mice in the isoquercitrin group were higher than those in the model group (P < 0.001). An oral glucose tolerance test showed that the isoquercitrin significantly inhibited postprandial blood glucose changes in a dose-dependent manner. These findings demonstrated the hypoglycemic effects of isoquercitrin and indicated that isoquercitrin improved insulin sensitivity by targeting DPP-IV.
Kinetics of Oxidation of a 100% Gas-to-Liquid Synthetic Jet Fuel and a Mixture GTL/1-Hexanol in a Jet-Stirred Reactor: Experimental and Modeling Study

Research activities on the combustion of synthetic jet fuels and bio-derived jet fuels have increased notably over the last 10 years in order to solve the challenging reduction of dependence of air transportation on petroleum. Within the European Community’s Seventh Framework Programme, the combustion of a 100% GtL from Shell and a 80/20% vol. GtL/1-hexanol blend were studied in a jet-stirred reactor (JSR). This synthetic GtL fuel mainly contains n-alkanes, iso-alkanes, and cyclo-alkanes. We studied the oxidation of these alternatives jet fuels under the same conditions (temperature, 550–1150 K; pressure, 10 bar; equivalence ratio, 0.5–2; initial fuel concentration, 1000 ppm). For simulating the oxidation kinetics of these fuels we used a new surrogate mixture consisting of n-dodecane, 3-methylheptane, n-propylcyclohexane, and 1-hexanol. A detailed chemical kinetic reaction mechanism was developed and validated by comparison with the experimental results obtained in a jet-stirred reactor. The current model was also tested for the autoignition of the GtL fuel under shock tubes conditions (φ = 1 and P = 20 atm) using data from the literature. Kinetic computations involving reaction paths analyses and sensitivity analyses were used to interpret the results. The general findings are that the GTL and GTL/hexanol blend have very similar reactivity to Jet A-1, which is important since GTL is a drop-in fuel that should have similar performance to the Jet A-1 baseline and 1-hexanol should not significantly affect the reactivity if it is to be used as an additive.Copyright © 2014 by ASME
Stimuli-responsive lipid bilayer mimics for protein, virus and cell recognition

9 POPULÄRVETENSKAPLIG SAMMANFATTNING . 10 LIST OF PUBLICATIONS . 12 BIOMIMETIC INTERFACES INSPIRED BY NATURE . 14 MULTIVALENT INTERACTIONS AT THE CELL SURFACE . 18 Sialic Acid and Influenza Viruses . 18 Tripeptide Arginine-glycine-aspartic acid (RGD) and Cell Adhesion . 20 MOLECULAR DESIGN FOR 2D SELF-ASSEMBLY . 22 Self-Assembled Monolayers (SAMs) . 23 REVERSIBLE SELF-ASSEMBLED MONOLAYERS (RSAMS) . 25 STATE OF THE ART . 30 Supported Lipid Bilayers (SLBs) . 30 Stimuli-Responsive Surfaces . 35 Light-Responsive . 35 Electrical-Responsive . 37 Chemical-Responsive . 38 Surfaces based on Host-Guest Chemistry . 40 AIM OF THE THESIS . 42 SURFACE CHARACTERIZATION TECHNIQUES . 44 Ellipsometry . 44 Infrared Reflection Absorption Spectroscopy (IRAS) . 45 Atomic Force Microscopy (AFM) . 47 RESULTS AND DISCUSSIONS . 48 Amphiphiles Design and Synthesis . 48 Surface Fabrication and Characterization . 50 Mechanistic Insights into Layer Formation . 51 Engineering Functional rSAMs . 53 CONCLUSION AND OUTLOOK . 57 ACKNOWLEDGEMENTS . 59 REFERENCES . 61
Crystal Structure of Shigella flexneri SF173 Reveals a Dimeric Helical Bundle Conformation

We report the crystal structure and bioinformatic analysis of SF173, a functionally uncharacterized protein from the human enteropathogenic bacteria Shigella flexneri. The structure shows a tightly interlinked dimer formed by adimeric core comprising α2 and α3 helices from both subunits and swapping the N-terminal α1 helix of each monomer. Structural inspection and genomic analysis results suggest that the SF173 might play its putative function by binding to SF172, the partially overlapped upstream product in the operon. As YaeO (an SF172 orthologue) has been identified to be an inhibitor of the bacterial transcription terminator Rho protein, SF173 is suggested to be involved in the regulation of Rho-dependent transcription termination, by inhibiting the Rho protein binding to SF172/YaeO.
Cascaded Least Square Algorithm for Strong Clutter Removal in Airborne Passive Radar

Owing to the continuous random and nonperiodic characteristics of the passive signal, the random range sidelobe coupling (RRSC) effects of the strong clutter (i.e., the direct path signal and the strong multipath signal) will exacerbate the performance of space-time adaptive processing (STAP) algorithm in airborne passive radar (APR). This article analyzes the influence of RRSC caused by strong clutter on detection range cell of interest and illustrates that strong clutter should be suppressed before applying the STAP algorithm. A cascaded least square (CLS) algorithm based on the directional dependence of clutter Doppler frequency is proposed for side-looking APR, where the first least square (LS) algorithm is performed to achieve the amplitude estimation of the Doppler-shift echo signal, and the channel amplitude and phase error correction factor can be obtained by the estimated amplitude information of the direct patch signal and the APR geometric configuration. The second LS is employed to further estimate the amplitude information of the strong clutter, and the resulting weight vector can be utilized for clutter cancelation. To make the CLS algorithm more practical, a batch version of the CLS (CLS-B) algorithm is proposed in this article. The advantage of the method is that it cannot only cancel clutter along the clutter ridge but also effectively prevent the suppression of targets falling in the clutter Doppler band. In addition, the proposed CLS algorithm performs well in the presence of the channel amplitude and phase error. A series of simulations are conducted to test the proposed algorithms.
Modulating Surface Composition and Oxygen Reduction Reaction Activities of Pt–Ni Octahedral Nanoparticles by Microwave-Enhanced Surface Diffusion during Solvothermal Synthesis

Compositional segregations in shaped alloy nanoparticles can significantly affect their catalytic activity and are largely dependent on their elemental anisotropic growth and diffusion during nanoparticle synthesis. An efficient approach to control the surface segregations while keeping the nanoparticle shape are highly desired for fine-tuning their catalytic properties. Using octahedral Pt–Ni nanoparticles as a typical example, we report a new strategy to modulate the surface composition of shaped bimetallic nanoparticles by microwave-enhanced surface diffusion during solvothermal synthesis. Compared to traditional solvothermal synthesis, the application of microwave significantly promotes atomic diffusion, particularly surface diffusion, within the Pt–Ni octahedrons, leading to Pt segregation on the {111} facets while largely keeping the octahedral shape. The obtained segregated Pt–Ni octahedral nanoparticles performed excellent activity toward oxygen reduction reaction. The revealed microwave-enhanced .
Quebrada Fiera (Mendoza), an important paleobiogeographic center in the South American late Oligocene

This contribution focuses on the main results and present researches on the Oligocene fauna from Quebrada Fiera (Mendoza, Argentina). This vertebrate assemblage is providing new data on the distribution and evolution of South American Deseadan (late Oligocene) mammals. Descriptions of notoungulate Notohippidae and Archaeohyracidae have been recently published. A new genus of notohippid was identified, while most archaeohyracid material was recognized as the same species present in Salla (Bolivia). Studies in progress on other native ungulates (Hegetotheriidae, Interatheriidae, Leontinidae, Homalodotheriidae, Toxodontidae, ? Proterotheriidae, and Pyrotheriidae), metatheria, xenarthra, and rodents from Quebrada Fiera will increase the knowledge of this fauna. Preliminarily, the faunal association appears as a mix of taxa. On the one hand, with Patagonian affinities, on the other hand, related to species known from lower latitudes (Bolivia), together with exclusive taxa such as Mendozahippus (Notohippidae). The ongoing research will allow a better understanding of the role of Mendoza area in the paleobiogeographic and biostratigraphic context of the South American Oligocene mammals.
Removal of Remazol Black B Dye by Electrocoagulation Process Coupled with Bentonite as an Aid Coagulant and Natural Adsorbent

Coloured discharge effluent into aquatic ecosystems may be carcinogenic and mutagenic besides aesthetic problems. In this work, the ability to remove (Remazol Black B) coloured water using electrocoagulation process is equipped with iron and aluminium electrodes with bentonite as a coagulant aid and natural adsorbent has been investigated. Remazol Black B was selected as a model dye and the treatment process was performed in a batch of electrocoagulation (EC) cell using iron and aluminium electrodes and bentonite. Experiments were conducted at 5 levels of various operational parameters at bench scale. The initial dye concentration was varied between 200-1200mg/L, pH ranging from 2-10; the retention time was between 0-60 minutes, the voltage studied was in the range of 5-30 V and the electrical conductivity was 0.25 to 2 Siemens/cm. Results showed that the use of electro-Aluminum and Iron, under optimum conditions of pH 2 and 4, the concentration of dye1000mg/L, the voltage of 30V and 30 min have the maximum dye removal of about 99% and 91%, respectively. Results showed that both electrode voltages increase the efficiency of the above process in paint removal with decreasing pH from 10 to 2 and increasing the voltage from 5 to 30 V. Results show that by electrocoagulation Process Coupled with Bentonite as an Aid Coagulant could be used as well as an effective method for dye removal from colored wastewater.
Industrial uses and applications of ionic liquids

Abstract Ionic liquids are salts that melt at low temperatures (usually defined as less than 100 °C) and have a number of interesting properties that make them useful for industrial applications. Typical ionic liquid properties include high thermal stabilities, negligible vapor pressures, wide liquidus ranges, broad electrochemical windows, and unique solvation properties. Furthermore, the potential combinations of cations and anions provide nearly unlimited chemical tunability. This article will describe the diverse industrial uses of ionic liquids and how their unique properties are leveraged, with examples ranging from chemical processing to consumer packaged goods.
Doubling Albumin: In Vivo Consequences of Reiterating Albumin in a Single Polypeptide Chain

<)bjective. Albumin is an abundant and slowly-cleared plasma protein. Our laboratory previously incorporated albumin into recombinant fusion proteins to extend the plasma half-life of small proteins of potential therapeutic utility. We sought to deternine if reiteration of albumin in a single polypeptide chain would further extend its half-life. Design. Hexahistidine-tagged rabbit serum albumin (RSA) with Cys 34 altered to Ala to prevent disu:phide-bonded dimerization was produced in yeast (H6-RSA-C34A), and c. :>mpared to a reiterated forma of H6-RSA-C34A containing two domains of amino acids 1-584 separated by a hexaglycine spacer. Clearance of these purified iodinated proteins was compared in rabbits. Materials and Methods. Site-directed mutagenesis employing PCR was used to alter the encoding plasmid. Proteins secreted from transformed Pichia pastoris yeast cell lines were purified using nickel-chelated affinity chromatography and radioiodinated by the Iodogen method. Labeled proteins were injected intravenously into rabbits and the residual acid-precipitable protein concentration in serial plasma samples was determined over time. Results. P. pastoris cells transformed with the expression plasmids secreted 140 kDa H6-diRSA and 70 kDa H6-RSA-C34A proteins, which were purified to apparent homogeneity. Mem terminal catabolic half-lives (±SD) were 4.9 (±0.7) and 3.0 (±0.3)
Organic tandem solar cells: How impedance analyses can improve the quality of external quantum efficiency measurements

Tandem architectures are one of the most promising concepts towards superior power conversion efficiencies of organic solar cells. An accurate determination of the power conversion efficiency requires correction of the spectral mismatch and thus relies on accurate external quantum efficiency (EQE) spectra. Due to the series connection of 2 subcells in the tandem architecture, the EQE of the tandem solar cell reproduces the EQE of one subcell if an appropriate bias light is chosen to selectively illuminate and hence forward bias the other subcell. The resulting internal voltage drop is then compensated by applying an external voltage to the tandem solar cell. In this work, we use impedance spectroscopy to accurately predict the minimum bias light intensity and the external voltage to enable accurate EQE measurements on both subcells. We exemplify this procedure on organic tandem solar cells comprising spectrally complementary absorbers and suggest an extended protocol for future measurements of the EQE.
A Bibliometric Review and Analysis of Data-Driven Fault Detection and Diagnosis Methods for Process Systems

Accident prevention is one of the most desired and challenging goals in process industries. For accident prevention, fault detection and diagnosis (FDD) is critical. FDD has been an active area of research for decades. The focus of the current review is on the data-driven techniques as we are now in a digital era and data analytics is getting more emphasis in all areas including process industries. The analysis is done to address the following fundamental questions: (i) How are the leading areas evolving? (ii) Who are the contributing authors? (iii) What are the key sources and domains of publications? (iv) Which countries are active in this research area? Furthermore, we briefly described four techniques, principal component analysis, partial least-squares, independent component analysis, and the Gaussian mixture model, to represent the state-of-the-art algorithms from different periods. It was observed that significant work in this field is being carried out throughout the world, including both develope.
Biology and Physics of Logust Flight: VIII. Lift and Metabolic Rate of Flying Locusts

1. A calorimetric method was designed which makes it possible to estimate the metabolic rate of a flying insect with an accuracy of ±10%. 2. For the first time, the metabolic rate of a flying animal has been related to the main aerodynamic component of force, the lift. 3. The metabolic rate of locusts increases almost linearly from 41 kcal. kg. -1 hr. -1 at 50% relative lift to 110 kcal. kg. -1 hr. -1 at 170%. 4. The results are in accordance with theoretical deductions and they show that the work necessary to accelerate the oscillating wings (inertia terms) is small compared with the aerodynamic work--probably three to five times smaller. 5. In flapping insects and small birds the metabolic rate per unit weight seems to be independent of size. The control of power is discussed.
The Stationarity Properties of the Industrial Production Index

Aylik sanayi uretim endeksi, hem politika yapicilar hem de akademisyenler tarafindan ekonometrik tahminlerde oldukca sik kullanilan bir zaman serisidir. Bu makalede, duzey, logaritmik, mevsimsellikten arindirilmis duzey ve mevsimsellikten arindirilmis logaritmik Turkiye sanayi endeksinin (TUIK) duraganlik ozellikleri hem geleneksel hem de dusuk orneklem sayilarinda daha guclu birim kok sinamalari ile incelenmistir. Buna ek olarak icsel olarak yapisal kirilmalari hesaba katan birim kok sinamalari uygulanmistir. Geleneksel sinamalar ile goreceli olarak yeni sinamalarin sonuclari birbiriyle celismektedir. Ayrica seride yapisal kirilmalar soz konusudur. Bu nedenlerle geleneksel birim kok sinama sonuclarina dayanarak yapilan model secimleri ve bu model sonuclarindan yapilan politika cikarimlari dogru olmayabilir. Bu calisma, Turkiye aylik sanayi endeksi kullanan calismalara, endeksin duraganlik ozelliklerini degerlendirme asamasinda yon gosterici rol oynayabilir.
Mechanism of Cuticle Hole Development in Human Hair Due to UV-Radiation Exposure

Hair is easily damaged by ultraviolet (UV) radiation, bleaching agents or permanent wave treatments, and as damage progresses, hair loses its gloss, develops split ends and breaks. However, the causes of hair damage due to UV radiation have not yet been clarified. We discovered that in one mechanism facilitating damage to wet hair by UV radiation, the unsaturated fatty acids in wet hair produce hydroxy radicals upon exposure to UV radiation, and these radicals produce cuticle holes between the cuticle layers. In wet hair exposed to UV radiation, cuticle holes were produced only between the cuticle layers, whereas when human hair was immersed in a solution containing hydroxy radicals produced by Fenton’s reaction, a random production of cuticle holes was noted. It is thought that hydroxy radicals are produced only between the cuticle layers by exposure to UV radiation, and cuticle holes are formed only in this region because one of the polyunsaturated fatty acids, linoleic acid, with a bis-allyl hydrogen, is found between the cuticle layers.
ARIMA Model for Gold Bullion Coin Selling Prices Forecasting

Time series forecasting is an active research area that has drawn considerable attention for applications in a variety of areas. Auto-Regressive Integrated Moving Average (ARIMA) models are one of the most important time series models used in financial market forecasting over the past three decades but not very often used to forecast gold prices. This paper attempts to address the forecasting of gold bullion coin selling prices. The forecasting models ARIMAs are applied to forecast the gold bullion coin prices. The result suggests that ARIMA (2, 1, 2) is the most suitable model to be used for forecasting gold bullion coin prices. Closer examination suggests that the gold bullion coin selling prices are in upward trends and could be considered as a worthy investment.