Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance Advantages of Monolithically Patterned Wide-Narrow-Wide All-Graphene on Insulator Devices

 Abstract—We investigate theoretically the performance advantages of all-graphene nanoribbon field-effect transistors (GNRFETs) whose channel and source/drain (contact) regions are patterned monolithically from a single sheet of graphene. In our simulated devices, the source/drain and interconnect regions are composed of wide graphene nanoribbon (GNR) sections that are semimetallic , while the channel regions consist of narrow GNR sections that open semiconducting bandgaps. Our simulation employs a fully atomistic model of the device, contact and interfacial regions using tight-binding theory. The electronic structures are coupled with a self-consistent three-dimensional Poisson’s equation to capture the nontrivial contact electrostatics, along with a quantum kinetic formulation of transport based on non-equilibrium Green’s functions (NEGF). Although we only consider a specific device geometry, our results establish several general performance advantages of such monolithic devices (besides those related to fabrication and patterning), namely the improved electrostatics, suppressed short-channel effects , and Ohmic contacts at the narrow-to-wide interfaces.
A Randomized Phase III Study of Docetaxel plus Cisplatin versus Pemetrexed plus Cisplatin as First-line Treatment for Non-squamous Non-small Cell Lung Cancer: A TRAIL Trial

Objectives: Till date, no prospective phase III tri als have directly compared the efficacy of pemetrexed/cisplatin (Pem-Cis) with docetaxel/cispl atin (Doc-Cis), in patients with nonsquamous non-small cell lung cancers (NSq-NSCLCs). Materials and Methods: Chemotherapy-naïve, 148 pati ents lacking driver mutations were randomized into 21-day regimens comprising cisplati n 70 mg/m with either docetaxel 60 mg/m (n=71) or pemetrexed 500 mg/m 2 (n=77) for up to 4 cycles. The primary objective was to assess the non-inferiority of progression-fr ee survival (PFS) of patients on the Doc-Cis regimen, and the secondary endpoints were response rates, overall survival (OS), and toxicity profiles. Results: Partial remission was observed in 24 (31.2 %) and 24 (33.8%) cases of Pem-Cis and Doc-Cis groups, respectively. The median PFS was 4. 7 months (95% confidence interval, CI, 4.4–5.0) in the Pem-Cis, and 4.4 months (95% CI, 3. 7–5.1) in the Doc-Cis arm (P>0.05). The median OS was longer in the Doc-Cis (13.3 months; 9 5% CI, 8.1–18.5) than in the Pem-Cis arm (11.7 months; 95% CI, 8.6–14.8, P>0.05). Betwee n the two arms, there was no M AN US CR IP T AC CE PT ED ACCEPTED MANUSCRIPT 4 significant difference in subsequent treatments aft er failure of first-line treatment. The rate of grade 3 or 4 neutropenia and febrile neutropenia wa s higher in the Doc-Cis than in the PemCis arm. Conclusion: In NSq-NSCLC patients lacking driver mu tations, PFS and response rates were similar between the two arms, and toxicity was tole rable, although adverse events and higher toxicities were observed more frequently in the Doc -Cis arm.
Generating a Corpus of Mobile Forensic Images for Masquerading user Experimentation

The Periodic Mobile Forensics (PMF) system investigates user behavior on mobile devices. It applies forensic techniques to an enterprise mobile infrastructure, utilizing an on‐device agent named TractorBeam. The agent collects changed storage locations for later acquisition, reconstruction, and analysis. TractorBeam provides its data to an enterprise infrastructure that consists of a cloud‐based queuing service, relational database, and analytical framework for running forensic processes. During a 3‐month experiment with Purdue University, TractorBeam was utilized in a simulated operational setting across 34 users to evaluate techniques to identify masquerading users (i.e., users other than the intended device user). The research team surmises that all masqueraders are undesirable to an enterprise, even when a masquerader lacks malicious intent. The PMF system reconstructed 821 forensic images, extracted one million audit events, and accurately detected masqueraders. Evaluation revealed that developed methods reduced storage requirements 50‐fold. This paper describes the PMF architecture, performance of TractorBeam throughout the protocol, and results of the masquerading user analysis.
AGBNP: An analytic implicit solvent model suitable for molecular dynamics simulations and high‐resolution modeling

We have developed an implicit solvent effective potential (AGBNP) that is suitable for molecular dynamics simulations and high‐resolution modeling. It is based on a novel implementation of the pairwise descreening Generalized Born model for the electrostatic component and a new nonpolar hydration free energy estimator. The nonpolar term consists of an estimator for the solute‐solvent van der Waals dispersion energy designed to mimic the continuum solvent solute‐solvent van der Waals interaction energy, in addition to a surface area term corresponding to the work of cavity formation. AGBNP makes use of a new parameter‐free algorithm to calculate the scaling coefficients used in the pairwise descreening scheme to take into account atomic overlaps. The same algorithm is also used to calculate atomic surface areas. We show that excellent agreement is achieved for the GB self‐energies and surface areas in comparison to accurate, but much more expensive, numerical evaluations. The parameter‐free approach used in AGBNP and the sensitivity of the AGBNP model with respect to large and small conformational changes makes the model suitable for high‐resolution modeling of protein loops and receptor sites as well as high‐resolution prediction of the structure and thermodynamics of protein‐ligand complexes. We present illustrative results for these kinds of benchmarks. The model is fully analytical with first derivatives and is computationally efficient. It has been incorporated into the IMPACT molecular simulation program. © 2004 Wiley Periodicals, Inc. J Comput Chem 25: 479–499, 2004
A potential technique to determine the unsaturated soil shear strength parameter

A Potential Technique to Determine the Unsaturated Soil Shear Strength Parameter. (August 2008) Renu Uday Kulkarni, B.E. , University of Mumbai, Mumbai, India Chair of Advisory Committee: Dr. Jean-Louis Briaud The shear strength behavior of unsaturated soils is a complex phenomenon. The major factors that lead to the complex behavior are grain size, natural alteration in status of moisture and associated capillary potential. The need for research is felt to understand the various aspects associated with development of shear strength of unsaturated soils. The research is conducted to obtain the most economical and reliable design solutions. The magnitude of positive pore water pressure developed in saturated soil reduces the shear strength to a great extent. The tensile pore water pressure in the capillary meniscus developed around the soil grain contacts, on the contrary, enhances the factor of safety in the case of unsaturated soil mass. In this research, the shear strength of unsaturated soil is studied for a range of saturation based on the parametric study. The principle of effective stress has proven to be the basis for understanding the shear strength of saturated soil mass and it has provided an explanation for the geotechnical engineering problems. The thesis presents a study on the shear strength of the soil specimen using the direct shear apparatus. The previous research was mainly directed towards evaluation of shear strength under controlled soil suction, by modifying the apparatus. A simple technique is put forward in this research by making use of the conventional direct shear apparatus for testing the unsaturated soil. The suction stress was induced in the soil specimen and the shear strength was evaluated. The soil water characteristic curve has been used in the research to determine the tensile pore water pressure. Hypothesis based on parametric study has been put forward to present a technique to determine the unsaturated soil shear strength parameter in the thesis.
Investigation on Phosphogypsum-base Non-calcined Cement

The chief aim of this investigation is manufacture uncalcined cement by untreated phosphogypsum(PG),granulated blast furnace slag(GBFS),Portland clinker(PC) and limestone.With mix proportion 40%—60% of PG and curing in water,the 28 d compressive strength of the cement can reach 20—30 MPa.XRD and SEM analyses show that,the hydration products of the cement are ettringite and C-S-H gel.Parts of PG react with GBFS and PC formed hydration product ettringite,residual PG is wrapped by the hydration products as aggregate filler.
Brain Electrodynamic and Hemodynamic Signatures Against Fatigue During Driving

Fatigue is likely to be gradually cumulated in a prolonged and attention-demanding task that may adversely affect task performance. To address the brain dynamics during a driving task, this study recruited 16 subjects to participate in an event-related lane-departure driving experiment. Each subject was instructed to maintain attention and task performance throughout an hour-long driving experiment. The subjects' brain electrodynamics and hemodynamics were simultaneously recorded via 32-channel electroencephalography (EEG) and 8-source/16-detector functional near-infrared spectroscopy (fNIRS). The behavior performance demonstrated that all subjects were able to promptly respond to lane-deviation events, even if the sign of fatigue arose in the brain, which suggests that the subjects were fighting fatigue during the driving experiment. The EEG event-related analysis showed strengthening alpha suppression in the occipital cortex, a common brain region of fatigue. Furthermore, we noted increasing oxygenated hemoglobin (HbO) of the brain to fight driving fatigue in the frontal cortex, primary motor cortex, parieto-occipital cortex and supplementary motor area. In conclusion, the increasing neural activity and cortical activations were aimed at maintaining driving performance when fatigue emerged. The electrodynamic and hemodynamic signatures of fatigue fighting contribute to our understanding of the brain dynamics of driving fatigue and address driving safety issues through the maintenance of attention and behavioral performance.
INVESTIGATION OF SOLAR ELECTRICITY POTENTIAL IN ARGUNGU KEBBI STATE NORTHWESTERN NIGERIA

Photovoltaic Geographical Information System insolation data scaled to summer equivalent months was used to establish the relationship between solar energy and solar power output in Argungu, Kebbi State Northwestern Nigeria. It was observed that if storage option is coupled in the system 1kWp of solar PV is capable of satisfying a typical household electricity demand in Argungu. The output of the research also shows that, solar system can be a reliable system of renewable electricity generation in supplying based load in rural locations in the Northwestern Nigeria where solar energy resources are in abundant and significant percentage of the dwellers are living completely off grid without any hope of being connected to national grid. The finding of the research reveals that, with government fiscal incentives as a payment to the individuals investment in renewable energy, Nigeria has potential of becoming the leading renewable solar electricity country in the globe since 1kWp system can power a typical household electricity demand against the 3kWp which is considered to be typical household PV installation across the globe.
TIDBD: Adapting Temporal-difference Step-sizes Through Stochastic Meta-descent

In this paper, we introduce a method for adapting the step-sizes of temporal difference (TD) learning. The performance of TD methods often depends on well chosen step-sizes, yet few algorithms have been developed for setting the step-size automatically for TD learning. An important limitation of current methods is that they adapt a single step-size shared by all the weights of the learning system. A vector step-size enables greater optimization by specifying parameters on a per-feature basis. Furthermore, adapting parameters at different rates has the added benefit of being a simple form of representation learning. We generalize Incremental Delta Bar Delta (IDBD)---a vectorized adaptive step-size method for supervised learning---to TD learning, which we name TIDBD. We demonstrate that TIDBD is able to find appropriate step-sizes in both stationary and non-stationary prediction tasks, outperforming ordinary TD methods and TD methods with scalar step-size adaptation; we demonstrate that it can differentiate between features which are relevant and irrelevant for a given task, performing representation learning; and we show on a real-world robot prediction task that TIDBD is able to outperform ordinary TD methods and TD methods augmented with AlphaBound and RMSprop.
Perspectives of Epoxy/Graphene Oxide Composite: Significant Features and Technical Applications

ABSTRACT In this article, advancement in epoxy/graphene oxide composites is presented. These materials are comprised of graphene oxide (GO) as filler (carbon-based material, thermodynamically stable, two-dimensional, planar and layered structure). Due to improved properties (mechanical response, low density, electrical resistance, and thermal stability), epoxy resins are used in several applications. Graphene oxide proposes unique properties to epoxy composites as high surface area, thermal and electrical conductivity as well as mechanical and barrier properties, relative to neat matrix. The corresponding significance of epoxy/GO-based materials, related challenges, and potential exploitation regarding technical applications (aerospace, gas sensor, electronic devices, etc.) have been overviewed. GRAPHICAL ABSTRACT
Cross double‐difference inversion for simultaneous velocity model update and microseismic event location

Microseismic monitoring is an approach for mapping hydraulic fracturing. Detecting the accurate locations of microseismic events relies on an accurate velocity model. The one‐dimensional layered velocity model is generally obtained by model calibration from inverting perforation data. However, perforation shots may only illuminate the layers between the perforation shots and the recording receivers with limited raypath coverage in a downhole monitoring problem. Some of the microseismic events may occur outside of the depth range of these layers. To derive an accurate velocity model covering all of the microseismic events and locating events at the same time, we apply the cross double‐difference method for the simultaneous inversion of a velocity model and event locations using both perforation shots and microseismic data. The cross double‐difference method could provide accurate locations in both the relative and absolute sense, utilizing cross traveltime differences between P and S phases over different events. At the downhole monitoring scale, the number of cross traveltime differences is sufficiently large to constrain events locations and velocity model as well. In this study, we assume that the layer thickness is known, and velocities of P‐ and S‐wave are inverted. Different simultaneous inversion methods based on the Geiger's, double‐difference, and cross double‐difference algorithms have been compared with the same input data. Synthetic and field data experiments suggest that combining both perforation shots and microseismic data for the simultaneous cross double‐difference inversion of the velocity model and event locations is available for overcoming the trade‐offs in solutions and producing reliable results.
Among a German Sample of Forensic Patients, Previous Animal Abuse Mediates Between Psychopathy and Sadistic Actions

In an attempt to explain the relationship between psychopathy and severe violent behavior, this study associates previous animal abuse, psychopathy, and sadistic acting in forensic patients. Two topics are addressed: (i) whether previous animal abuse can be identified by a patient's Psychopathy Checklist profile and (ii) whether animal abuse statistically mediates between psychopathy and sadistic acting. In a German forensic hospital, 60 patients were investigated. Animal abuse was assessed using face‐to‐face interviews and the Psychopathy Checklist: Screening Version (PCL:SV), and sadistic acting was identified by file records.Discriminant analysis separated previous animal abuse (10/60) by high adolescent antisocial behavior, superficiality, lack of remorse, lack of empathy, and grandiosity. The mediation from psychopathy to sadistic acting (6/60) through animal abuse was found to be complete.The results, although sample size is limited and base rate of animal abuse and sadistic acting are low, fit with a model suggestive of animal abuse as a causal step toward sadistic crimes. Animal abuse correlates with callous, unemotional traits, and a development of sadistic crimes.
Physical interaction of junctophilin and the CaV1.1 C terminus is crucial for skeletal muscle contraction

Significance For robust contraction of skeletal muscles, the L-type calcium channel acts as a key molecule by transducing membrane depolarization to calcium release from the sarcoplasmic reticulum. Proper intracellular localization of L-type calcium channels at the junctional membrane complex where the plasma membranes are closely apposed to the membranes of the sarcoplasmic reticulum is necessary for this process. Junctophilins are known to stabilize the structure of the junctional membrane complex by bridging the plasma membrane and the sarcoplasmic membrane. We report that junctophilins recruit L-type calcium channels to the junctional membrane through physical interaction with the CaV1.1 subunits of the channels. This protein–protein interaction at triads ensures efficient contraction in differentiated adult skeletal muscle. Close physical association of CaV1.1 L-type calcium channels (LTCCs) at the sarcolemmal junctional membrane (JM) with ryanodine receptors (RyRs) of the sarcoplasmic reticulum (SR) is crucial for excitation–contraction coupling (ECC) in skeletal muscle. However, the molecular mechanism underlying the JM targeting of LTCCs is unexplored. Junctophilin 1 (JP1) and JP2 stabilize the JM by bridging the sarcolemmal and SR membranes. Here, we examined the roles of JPs in localization and function of LTCCs. Knockdown of JP1 or JP2 in cultured myotubes inhibited LTCC clustering at the JM and suppressed evoked Ca2+ transients without disrupting JM structure. Coimmunoprecipitation and GST pull-down assays demonstrated that JPs physically interacted with 12-aa residues in the proximal C terminus of the CaV1.1. A JP1 mutant lacking the C terminus including the transmembrane domain (JP1ΔCT) interacted with the sarcolemmal/T-tubule membrane but not the SR membrane. Expression of this mutant in adult mouse muscles in vivo exerted a dominant-negative effect on endogenous JPs, impairing LTCC–RyR coupling at triads without disrupting JM morphology, and substantially reducing Ca2+ transients without affecting SR Ca2+ content. Moreover, the contractile force of the JP1ΔCT-expressed muscle was dramatically reduced compared with the control. Taken together, JPs recruit LTCCs to the JM through physical interaction and ensure robust ECC at triads in skeletal muscle.
Cloud Service Description Model: An Extension of USDL for Cloud Services

There are a variety of well-designed specification-modelling-languages serving Internet services, however, none of them is capable of describing the special features of cloud services, from both technical and business points of view. The Unified Service Description Language (USDL) provides a new way to describe Internet services from business, operational, and technical perspectives. Nevertheless, there are various issues with USDL: it lacks a comprehensive specification model, particularly for cloud services, lacks a user-centric specification modeling paradigm, lacks a mechanism to measure cloud service attributes and to present the association relationship and re-usability of the attributes, and lacks semantic representation of cloud services. Based on the above issues, we propose a unified semantic Cloud Service Description Model (CSDM) in this paper. The proposed model will be extended from the basic structure of USDL, by defining cloud-service-specific attributes. Furthermore, an additional module, named transaction module, will be defined, which models the rating system of cloud services from several aspects, such as risk, trust, and reputation. The transaction module facilitates the capability of CSDM with regard to service ranking, and enhances its flexibility and extensibility by providing an extensible sub-module. In addition, we design an OWL-based annotation system to enrich the semantic expressivity of this model. Finally, a case study is provided to explain the application of this model in actual cloud services.
Facelet-Bank for Fast Portrait Manipulation

Digital face manipulation has become a popular and fascinating way to touch images with the prevalence of smart phones and social networks. With a wide variety of user preferences, facial expressions, and accessories, a general and flexible model is necessary to accommodate different types of facial editing. In this paper, we propose a model to achieve this goal based on an end-to-end convolutional neural network that supports fast inference, edit-effect control, and quick partial-model update. In addition, this model learns from unpaired image sets with different attributes. Experimental results show that our framework can handle a wide range of expressions, accessories, and makeup effects. It produces high-resolution and high-quality results in fast speed.
The Development of Low-Current Surface Arcs Under Clean and Salt-Fog Conditions in Electricity Distribution Networks

Electricity distribution networks are built to deliver increasing amount of electricity from distributed energy resources (DERs) such as offshore and onshore wind and solar farms. Aging of network assets through low-current surface discharges is becoming a great concern for the security and reliability of the distributed energy supply. In particular coastal conditions can present a challenge for overhead line insulators through the environment of salt fog. Also, onshore areas may expose power lines to clean fog and agricultural or industrial pollution. In this paper, experimental studies are conducted to investigate electrical arc formation and growth on insulators, following the testing standards in accordance with IEC 61109. Dry-band arcs in both clean-fog and salt-fog environments are compared. It is identified that arcs are much faster to develop and have greater energy in salt-fog environments, due to the lower surface resistance and resulting higher leakage current. The time from a first arc to strike, to the situation where the arc is stable on the insulator surface is identified as a potentially critical parameter in controlling aging of an insulation surface. The time from initial appearance of an arc to full stability is eight times shorter in a salt fog of 16,000 $\mu \text{S}$ /cm compared to a clean fog of $600~\mu \text{S}$ /cm. This means the very existence of a stable low-current arc is much more likely in polluted conditions. Accumulated arc energy and heat dissipation have been calculated for both fog conditions. It is concluded that aging by low-current electrical arcs tends to be more severe in salt-fog environments, so that great care needs to be taken when designing overhead lines and insulators in such areas.