cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Search strategies-Side effects of atypical antipsychotics. A systematic review.pdf
Creators: name: García Bravo, Joseph
name: Flores Mosquera, Karem Manuela
name: Icaza Cortez, Melany Dalila
name: Cueva, Melisa
name: Erazo, María José
name: Trujillo, Anthony
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 320221
subject: Psychiatry (incl. psychotherapy)

description: Atypical antipsychotics, also known as second-generation antipsychotics, have demonstrated efficacy in controlling both positive and negative symptoms of schizophrenia, as well as in the treatment of other psychotic disorders. However, despite their therapeutic benefits, atypical antipsychotics are also associated with a range of side effects.In this review, we aim to examine the most common adverse effects associated with the use of atypical antipsychotics in patients. It is important to note that the incidence and severity of these effects may vary among different atypical antipsychotic agents and also among individuals receiving treatment. However, there are some adverse effects that have been reported more frequently and warrant special attention.One of the most common adverse effects is weight gain and alteration of lipid metabolism. Certain atypical antipsychotics, such as olanzapine and clozapine, have been associated with an increased risk of weight gain, dyslipidemia, and the development of metabolic syndrome. These effects may predispose patients to cardiovascular diseases and type 2 diabetes, needing careful monitoring and appropriate management strategies.
Theoretical prediction of diffusive ionic current through nanopores under salt gradients
Creators: name: Ma, Long
name: Gao, Zihao
name: Man, Jia
name: Li, Jianyong
name: Du, Guanghua
name: Qiu, Yinghua
Publisher: name: arXiv
Year: 2023
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: In charged nanopores, ionic diffusion current reflects the ionic selectivity and ionic permeability of nanopores which determines the performance of osmotic energy conversion, i.e. the output power and efficiency. Here, theoretical predictions of the diffusive currents through cation-selective nanopores have been developed based on the investigation of diffusive ionic transport under salt gradients with simulations. The ionic diffusion current I satisfies a reciprocal relationship with the pore length I correlates with a/L (a is a constant) in long nanopores. a is determined by the cross-sectional areas of diffusion paths for anions and cations inside nanopores which can be described with a quadratic power of the diameter, and the superposition of a quadratic power and a first power of the diameter, respectively. By using effective concentration gradients instead of nominal ones, the deviation caused by the concentration polarization can be effectively avoided in the prediction of ionic diffusion current. With developed equations of effective concentration difference and ionic diffusion current, the diffusion current across nanopores can be well predicted in cases of nanopores longer than 100 nm and without overlapping of electric double layers. Our results can provide a convenient way for the quantitative prediction of ionic diffusion currents under salt gradients.
NATURE AND TYPES OF INNOVATION IN THE MODERNIZATION OF THE ECONOMY
Creators: name: Nasrulloyev Feruz Furkatovich Manager of ATIB Ipoteka bank Samarkand branch
Publisher: name: Zenodo
Year: 2024

description: In the context of modernization of the national economy, the wider attraction of innovations, especially foreign ones, into the economy of our republic will make an important contribution to ensuring the effective implementation of economic reforms being implemented in our country. This becomes all the more relevant as it increases attention to assessing the effectiveness of innovative projects implemented in the national economy.

Key words: Innovation, modernization, investment, national economy, competition, innovative activity, economic approach.
High-sensitivity transition-edge-sensed bolometers: improved speed and characterization with AC and DC bias
Creators: name: Foote, Logan
name: Audley, Michael D.
name: Charles
name: Bradford
name: de Lange, Gert
name: Echternach, Pierre
name: Fixsen, Dale J.
name: Hui, Howard
name: Kenyon, Matthew
name: Nguyen, Hien
name: O'Brient, Roger
name: Sharp, Elmer H.
name: Staguhn, Johannes G.
name: van der Kuur, Jan
name: Zmuidzinas, Jonas
Publisher: name: arXiv
Year: 2023
Subjects: subject: Applied Physics (physics.app-ph)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: We report on efforts to improve the speed of low-G far-infrared transition-edged-sensed bolometers. We use a fabrication process that does not require any dry etch steps to reduce heat capacity on the suspended device and measure a reduction in the detector time constant. However, we also measure an increase in the temperature-normalized thermal conductance (G), and a corresponding increase in the noise-equivalent power (NEP). We employ a new near-IR photon-noise technique using a near-IR laser to calibrate the frequency-domain multiplexed AC system and compare the results to a well-understood DC circuit. We measure an NEP white noise level of 0.8 aW/rtHz with a 1/f knee below 0.1 Hz and a time constant of 3.2 ms.
description: 27 pages, 16 figures. This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in J. Appl. Phys. 134 (9) and may be found at https://doi.org/10.1063/5.0157208
Dynamics of Low Fertility, Opportunity Costs of Childbearing, and Impacts of Fertility on Women’s Labour Force Participation and Subjective Wellbeing under China’s Two-Child Policy
Creators: name: Duan, Yuanyuan
Publisher: name: Macquarie University
Year: 2023
Subjects: Other education not elsewhere classified

description: The most populous nation in the world, and with a unique trajectory to low fertility, China has experienced the challenges brought about by low fertility and associated institutional changes similar to those seen elsewhere. Since the recent implementation of the two-child policy in China, there have been growing concerns about the extent to which the policy will be effective in boosting fertility and about how it will affect women’s labour force participation and subjective well-being. However, there is ongoing debate and confusion on what the actual fertility rate in China is. In addition, research into the effects of socioeconomic and psychological factors on fertility decision-making, as well as into the impacts of childbearing on women’s labour force participation and subjective well-being, has been inadequate. Using a wide range of large-scale survey data related to fertility decision-making and family studies, this thesis investigates the dynamics of low fertility, fertility preferences and their determinants, and the impacts of childbearing on women’s labour force participation and subjective well-being in the context of China under the two-child policy. Further, it examines the effects of the implementation of that policy on women’s labour force participation and subjective well-being. The results suggest that the implementation of the two-child policy has had limited effect in boosting fertility and fertility preferences in China, although it significantly increases fertility for parity two. Women’s perceived opportunity costs play an important role in preventing women from transiting their fertility ideals to intentions. The results also show that, for Chinese women with at least one child, the number of children they have is negatively associated with both their labour force participation and their subjective well-being; the early stages of motherhood decrease women’s labour force participation but slightly increase their subjective well-being; delaying motherhood increases women’s labour force participation but decreases their subjective well-being; and the implementation of the universal two-child policy tended to worsen women’s labour force participation but had no significant effect on their subjective well-being. The thesis sheds new lights on our understanding of sustained low fertility in China even under the new fertility policy, and generates significant implications for the viii formulation of social policies that aim to boost women’s fertility, labour force participation and subjective well-being.
Decoupled and coupled moons' ephemerides estimation strategies -- Application to the JUICE mission
Creators: name: Fayolle, M.
name: Dirkx, D.
name: Lainey, V.
name: Gurvits, L. I.
name: Visser, P. N. A. M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: When reconstructing natural satellites' ephemerides from space missions' tracking data, the dynamics of the spacecraft and natural bodies are often solved for separately, in a decoupled manner. Alternatively, the ephemeris generation and spacecraft orbit determination can be performed concurrently. This method directly maps the available data set to the estimated parameters' covariances while fully accounting for all dynamical couplings. It thus provides a statistically consistent solution to the estimation problem, whereas this is not directly ensured with the decoupled strategy. For the Galilean moons in particular, the JUICE mission provides a unique opportunity for ephemerides improvement. For such a dynamically coupled problem, choosing between the two strategies will be influential. This paper provides a detailed, explicit formulation for the coupled approach, before comparing the performances of the two state estimation methods for the JUICE test case. To this end, we used both decoupled and coupled models on simulated JUICE radiometric data. We compared the resulting covariances for the Galilean moons' states, and showed that the decoupled approach yields slightly lower formal errors for the moons' tangential positions. On the other hand, the coupled model can reduce the state uncertainties by more than one order of magnitude in the radial direction. It also proved more sensitive to the dynamical coupling between Io, Europa and Ganymede, allowing the solutions for the first two moons to fully benefit from JUICE orbital phase around Ganymede. However, many issues remain to be solved before a concurrent estimation strategy can be successfully applied to reconstruct the moons' dynamics over long timescales. Nonetheless, our analysis highlights promising ephemerides improvements and thus motivates future efforts to reach a coupled state solution for the Galilean moons.
Hamiltonian control of Kuramoto oscillators
Creators: name: Gjata, Oltiana
name: Asllani, Malbor
name: Barletti, Luigi
name: Carletti, Timoteo
Publisher: name: arXiv
Year: 2016
Subjects: subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: FOS: Physical sciences

description: Many coordination phenomena are based on a synchronisation process, whose global behaviour emerges from the interactions among the individual parts. Often in Nature, such self-organising mechanism allows the system to behave as a whole and thus grounding its very first existence, or expected functioning, on such process. There are however cases where synchronisation acts against the stability of the system; for instance in the case of engineered structures, resonances among sub parts can destabilise the whole system. In this Letter we propose an innovative control method to tackle the synchronisation process based on the use of the Hamiltonian control theory, by adding a small control term to the system we are able to impede the onset of the synchronisation. We present our results on the paradigmatic Kuramoto model but the applicability domain is far more large.
On the thermal line emission from the outflows in ultraluminous X-ray sources
Creators: name: Xu, Ya-Di
name: Cao, Xinwu
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The atomic features in the X-ray spectra of the ultraluminous X-ray source (ULX) may be associated with the outflow (Middleton et al. 2015), which may provide a way to explore the physics of the ULXs. We construct a conical outflow model, and calculate the thermal X-ray Fe emission lines from the outflows. Our results show that thermal line luminosity decreases with increasing outflow velocity or/and opening angle of the outflow for a fixed kinetic power of the outflows. Assuming the kinetic power of the outflows to be comparable with the accretion power in the ULXs, we find that the equivalent width can be several eV for the thermal X-ray Fe emission line from the outflows in the ULXs with stellar mass black holes. The thermal line luminosity is proportional to 1/M (M is the black hole mass of the ULX). The equivalent width decreases with the black hole mass, which implies that the Fe line emission from the outflows can hardly be detected if the ULXs contain intermediate mass black holes. Our results suggest that the thermal X-ray Fe line emission should be preferentially be detected in the ULXs with high kinetic power slowly moving outflows from the accretion disks surrounding stellar mass black holes/neutron stars. The recent observed X-ray atomic features of the outflows in the ULX may imply that it contains a stellar mass black hole/neutron star (Pinto et al. 2016).
description: accepted by ApJ
Neural Networks at a Fraction with Pruned Quaternions
Creators: name: Iqbal, Sahel Mohammad
name: Mishra, Subhankar
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Contemporary state-of-the-art neural networks have increasingly large numbers of parameters, which prevents their deployment on devices with limited computational power. Pruning is one technique to remove unnecessary weights and reduce resource requirements for training and inference. In addition, for ML tasks where the input data is multi-dimensional, using higher-dimensional data embeddings such as complex numbers or quaternions has been shown to reduce the parameter count while maintaining accuracy. In this work, we conduct pruning on real and quaternion-valued implementations of different architectures on classification tasks. We find that for some architectures, at very high sparsity levels, quaternion models provide higher accuracies than their real counterparts. For example, at the task of image classification on CIFAR-10 using Conv-4, at $3\%$ of the number of parameters as the original model, the pruned quaternion version outperforms the pruned real by more than $10\%$. Experiments on various network architectures and datasets show that for deployment in extremely resource-constrained environments, a sparse quaternion network might be a better candidate than a real sparse model of similar architecture.
Conductivity and Discharge Guiding Properties of Mid-IR Laser Filaments
Creators: name: Mongin, Denis
name: Shumakova, Valentina
name: Ališauskas, Skirmantas
name: Pugzlys, Audrius
name: Schubert, Elise
name: kasparian, jerome
name: Wolf, Jean Pierre
name: Baltuska, Andrius
Publisher: name: arXiv
Year: 2016
Subjects: subject: Optics (physics.optics)
subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: The electric conductivity, HV discharge triggering and guiding capabilities of filaments at 3.9 micrometer in air are investigated in the perspective of lightning control applications, and compared to near-IR filaments in identical conditions
DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning in the Debiasing Perspective
Creators: name: Miao, Pu
name: Du, Zeyao
name: Zhang, Junlin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Several prior studies have suggested that word frequency biases can cause the Bert model to learn indistinguishable sentence embeddings. Contrastive learning schemes such as SimCSE and ConSERT have already been adopted successfully in unsupervised sentence embedding to improve the quality of embeddings by reducing this bias. However, these methods still introduce new biases such as sentence length bias and false negative sample bias, that hinders model's ability to learn more fine-grained semantics. In this paper, we reexamine the challenges of contrastive sentence embedding learning from a debiasing perspective and argue that effectively eliminating the influence of various biases is crucial for learning high-quality sentence embeddings. We think all those biases are introduced by simple rules for constructing training data in contrastive learning and the key for contrastive learning sentence embedding is to mimic the distribution of training data in supervised machine learning in unsupervised way. We propose a novel contrastive framework for sentence embedding, termed DebCSE, which can eliminate the impact of these biases by an inverse propensity weighted sampling method to select high-quality positive and negative pairs according to both the surface and semantic similarity between sentences. Extensive experiments on semantic textual similarity (STS) benchmarks reveal that DebCSE significantly outperforms the latest state-of-the-art models with an average Spearman's correlation coefficient of 80.33% on BERTbase.
Dynamics of ellipsoidal tracers in swimming algal suspensions
Creators: name: Yang, Ou
name: Peng, Yi
name: Liu, Zhengyang
name: Tang, Chao
name: Xu, Xinliang
name: Cheng, Xiang
Publisher: name: arXiv
Year: 2016
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: Enhanced diffusion of passive tracers immersed in active fluids is a universal feature of active fluids and has been extensively studied in recent years. Similar to microrheology for equilibrium complex fluids, the unusual enhanced particle dynamics reveal intrinsic properties of active fluids. Nevertheless, previous studies have shown that the translational dynamics of spherical tracers are qualitatively similar, independent of whether active particles are pushers or pullers---the two fundamental classes of active fluids. Is it possible to distinguish pushers from pullers by simply imaging the dynamics of passive tracers? Here, we investigated the diffusion of isolated ellipsoids in algal C. reinhardtii suspensions---a model for puller-type active fluids. In combination with our previous results on pusher-type E. coli suspensions [Peng et al., Phys. Rev. Lett. 116, 068303 (2016)], we showed that the dynamics of asymmetric tracers show a profound difference in pushers and pullers due to their rotational degree of freedom. Although the laboratory-frame translation and rotation of ellipsoids are enhanced in both pushers and pullers, similar to spherical tracers, the anisotropic diffusion in the body frame of ellipsoids shows opposite trends in the two classes of active fluids. An ellipsoid diffuses fastest along its major axis when immersed in pullers, whereas it diffuses slowest along the major axis in pushers. This striking difference can be qualitatively explained using a simple hydrodynamic model. In addition, our study on algal suspensions reveals that the influence of the near-field advection of algal swimming flows on the translation and rotation of ellipsoids shows different ranges and strengths. Our work provides not only new insights into universal organizing principles of active fluids, but also a convenient tool for detecting the class of active particles.
description: 12 pages, 8 figures in Phys. Rev E (2016)
Electrolyte-gated organic synapse transistor interfaced with neurons
Creators: name: Desbief, Simon
name: di Lauro, Michele
name: Casalini, Stefano
name: Guerin, David
name: Tortorella, Silvia
name: Barbalinardo, Marianna
name: Kyndiah, Adrica
name: Murgia, Mauro
name: Cramer, Tobias
name: Biscarini, Fabio
name: Vuillaume, Dominique
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Biological Physics (physics.bio-ph)
subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: We demonstrate an electrolyte-gated hybrid nanoparticle/organic synapstor (synapse-transistor, termed EGOS) that exhibits short-term plasticity as biological synapses. The response of EGOS makes it suitable to be interfaced with neurons: short-term plasticity is observed at spike voltage as low as 50 mV (in a par with the amplitude of action potential in neurons) and with a typical response time in the range of tens milliseconds. Human neuroblastoma stem cells are adhered and differentiated into neurons on top of EGOS. We observe that the presence of the cells does not alter short-term plasticity of the device.
description: Full paper, figures and supporting information
Entropic fluctuations in thermally driven harmonic networks
Creators: name: Jaksic, Vojkan
name: Pillet, Claude-Alain
name: Shirikyan, Armen
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mathematical Physics (math-ph)
subject: Dynamical Systems (math.DS)
subject: Probability (math.PR)
subject: Classical Physics (physics.class-ph)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We consider a general network of harmonic oscillators driven out of thermal equilibrium by coupling to several heat reservoirs at different temperatures. The action of the reservoirs is implemented by Langevin forces. Assuming the existence and uniqueness of the steady state of the resulting process, we construct a canonical entropy production functional which satisfies the Gallavotti--Cohen fluctuation theorem, i.e., a global large deviation principle with a rate function I(s) obeying the Gallavotti--Cohen fluctuation relation I(-s)-I(s)=s for all s. We also consider perturbations of our functional by quadratic boundary terms and prove that they satisfy extended fluctuation relations, i.e., a global large deviation principle with a rate function that typically differs from I(s) outside a finite interval. This applies to various physically relevant functionals and, in particular, to the heat dissipation rate of the network. Our approach relies on the properties of the maximal solution of a one-parameter family of algebraic matrix Riccati equations. It turns out that the limiting cumulant generating functions of our functional and its perturbations can be computed in terms of spectral data of a Hamiltonian matrix depending on the harmonic potential of the network and the parameters of the Langevin reservoirs. This approach is well adapted to both analytical and numerical investigations.
Fluctuation sound absorption in quark matter
Creators: name: Kerbikov, B. O.
name: Lukashov, M. S.
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We investigate the sound absorption in quark matter due to the interaction of the sound wave with the precritical fluctuations of the diquark-pair field above $T_c$. The soft collective mode of the pair field is derived using the time dependent Ginzburg-Landau functional with random Langevin forces. The strong absorption near the phase transition line may be viewed as a manifestation of the Mandelshtam-Leontovich slow relaxation time theory.
Efficient tensor completion for color image and video recovery: Low-rank tensor train
Creators: name: Bengua, Johann A.
name: Phien, Ho N.
name: Tuan, Hoang D.
name: Do, Minh N.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Numerical Analysis (math.NA)
subject: Data Structures and Algorithms (cs.DS)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: This paper proposes a novel approach to tensor completion, which recovers missing entries of data represented by tensors. The approach is based on the tensor train (TT) rank, which is able to capture hidden information from tensors thanks to its definition from a well-balanced matricization scheme. Accordingly, new optimization formulations for tensor completion are proposed as well as two new algorithms for their solution. The first one called simple low-rank tensor completion via tensor train (SiLRTC-TT) is intimately related to minimizing a nuclear norm based on TT rank. The second one is from a multilinear matrix factorization model to approximate the TT rank of a tensor, and is called tensor completion by parallel matrix factorization via tensor train (TMac-TT). A tensor augmentation scheme of transforming a low-order tensor to higher-orders is also proposed to enhance the effectiveness of SiLRTC-TT and TMac-TT. Simulation results for color image and video recovery show the clear advantage of our method over all other methods.
description: Submitted to the IEEE Transactions on Image Processing. arXiv admin note: substantial text overlap with arXiv:1601.01083
Definition of Power Converters
Creators: name: Bordry, F.
name: Aguglia, D.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Accelerator Physics (physics.acc-ph)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: The paper is intended to introduce power conversion principles and to define common terms in the domain. The concepts of sources and switches are defined and classified. From the basic laws of source interconnections, a generic method of power converter synthesis is presented. Some examples illustrate this systematic method. Finally, the commutation cell and soft commutation are introduced and discussed.
description: 29 pages, contribution to the 2014 CAS - CERN Accelerator School: Power Converters, Baden, Switzerland, 7-14 May 2014
A simple proof of convergence to the Hartree dynamics in Sobolev trace norms
Creators: name: Anapolitanos, Ioannis
name: Hott, Michael
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: The derivation of the Hartree equation from many-body systems of Bosons in the mean field limit has been very intensively studied in the last couple of years. However, very few results exist showing convergence of the k-th marginal of the N-body density matrix to the projection to the k-fold tensor product of the solution of the Hartree equation in stronger trace norms like the energy trace norm, see \cite{MS}, \cite{Lu}. This issue is from a physical view point very important. The reason is that one can then approximate expectation values of certain observables of the N-body system by means of the Hartree equation, with relaxation of the very restrictive assumption that the observables are bounded operators. Here we consider the non-relativistic case. We prove, assuming only H^1-regularity of the initial data, convergence in the energy trace norm without rates, and convergence in any other weaker Sobolev trace norm with rates. Our proof is simple and uses the functional $a_N$ introduced by Pickl in \cite{Pi}.
Semantic Parsing in Limited Resource Conditions
Creators: name: Li, Zhuang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: This thesis explores challenges in semantic parsing, specifically focusing on scenarios with limited data and computational resources. It offers solutions using techniques like automatic data curation, knowledge transfer, active learning, and continual learning. For tasks with no parallel training data, the thesis proposes generating synthetic training examples from structured database schemas. When there is abundant data in a source domain but limited parallel data in a target domain, knowledge from the source is leveraged to improve parsing in the target domain. For multilingual situations with limited data in the target languages, the thesis introduces a method to adapt parsers using a limited human translation budget. Active learning is applied to select source-language samples for manual translation, maximizing parser performance in the target language. In addition, an alternative method is also proposed to utilize machine translation services, supplemented by human-translated data, to train a more effective parser. When computational resources are limited, a continual learning approach is introduced to minimize training time and computational memory. This maintains the parser's efficiency in previously learned tasks while adapting it to new tasks, mitigating the problem of catastrophic forgetting. Overall, the thesis provides a comprehensive set of methods to improve semantic parsing in resource-constrained conditions.
description: PhD thesis, year of award 2023, 172 pages
Probing polaron excitation spectra in organic semiconductors by photoinduced-absorption-detected two-dimensional coherent spectroscopy
Creators: name: Li, Hao
name: Gauthier-Houle, Aurelie
name: Gregoire, Pascal
name: Vella, Elenora
name: Silva-Acuna, Carlos
name: Bittner, Eric R
Publisher: name: arXiv
Year: 2016
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We report a theoretical description and experimental implementation of a novel two-dimensional coherent excitation spectroscopy based on quasi-steady-state photoinduced absorption measurement of a long-lived nonlinear population. We have studied a semiconductor-polymer:fullerene-derivative distributed heterostructure by measuring the 2D excitation spectrum by means of photoluminescence, photocurrent and photoinduced absorption from metastable polaronic products. We conclude that the photoinduced absorption probe is a viable and valuable probe in this family of 2D coherent spectroscopies.
Translating Scala Programs to Isabelle/HOL
Creators: name: Hupel, Lars
name: Kuncak, Viktor
Publisher: name: arXiv
Year: 2016
Subjects: subject: Logic in Computer Science (cs.LO)
subject: FOS: Computer and information sciences

description: We present a trustworthy connection between the Leon verification system and the Isabelle proof assistant. Leon is a system for verifying functional Scala programs. It uses a variety of automated theorem provers (ATPs) to check verification conditions (VCs) stemming from the input program. Isabelle, on the other hand, is an interactive theorem prover used to verify mathematical specifications using its own input language Isabelle/Isar. Users specify (inductive) definitions and write proofs about them manually, albeit with the help of semi-automated tactics. The integration of these two systems allows us to exploit Isabelle's rich standard library and give greater confidence guarantees in the correctness of analysed programs.
description: International Joint Conference on Automated Reasoning, 2016
Crazing of Nanocomposites with Polymer-Tethered Nanoparticles
Creators: name: Meng, Dong
name: Kumar, Sanat K.
name: Ge, Ting
name: Robbins, Mark O.
name: Grest, Gary S.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: The crazing behavior of polymer nanocomposites formed by blending polymer grafted nanoparticles with an entangled polymer melt is studied by molecular dynamics simulations. We focus on the three key differences in the crazing behavior of a composite relative to the pure homopolymer matrix, namely, a lower yield stress, a smaller extension ratio and a grafted chain length dependent failure stress. The yield behavior is found to be mostly controlled by the local nanoparticle-grafted polymer interfacial energy, with the grafted polymer-polymer matrix interfacial structure being of little to no relevance. Increasing the attraction between nanoparticle core and the grafted polymer inhibits void nucleation and leads to a higher yield stress. In the craze growth regime, the presence of grafted chain sections of 100 monomers alters the mechanical response of composite samples, giving rise to smaller extension ratios and higher drawing stresses than for the homopolymer matrix. The dominant failure mechanism of composite samples depends strongly on the length of the grafted chains, with disentanglement being the dominant mechanism for short chains, while bond breaking is the failure mode for chain lengths greater than 10Ne, where Ne is the entanglement length.
description: Accepted for publication Journal of Chemical Physics
Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models
Creators: name: Imam, Raza
name: Alam, Mohammed Talha
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Deep learning has emerged as a prominent field in recent literature, showcasing the introduction of models that utilize transfer learning to achieve remarkable accuracies in the classification of brain tumor MRI images. However, the majority of these proposals primarily focus on balanced datasets, neglecting the inherent data imbalance present in real-world scenarios. Consequently, there is a pressing need for approaches that not only address the data imbalance but also prioritize precise classification of brain cancer. In this work, we present a novel deep learning-based approach, called Transfer Learning-CNN, for brain tumor classification using MRI data. The proposed model leverages the predictive capabilities of existing publicly available models by utilizing their pre-trained weights and transferring those weights to the CNN. By leveraging a publicly available Brain MRI dataset, the experiment evaluated various transfer learning models for classifying different tumor types, including meningioma, glioma, and pituitary tumors. We investigate the impact of different loss functions, including focal loss, and oversampling methods, such as SMOTE and ADASYN, in addressing the data imbalance issue. Notably, the proposed strategy, which combines VGG-16 and CNN, achieved an impressive accuracy rate of 96%, surpassing alternative approaches significantly.
description: Our code is available at https://github.com/Razaimam45/AI701-Project-Transfer-Learning-approach-for-imbalance-classification-of-Brain-Tumor-MRI-
Research on self-cross transformer model of point cloud change detecter
Creators: name: Ren, Xiaoxu
name: Sun, Haili
name: Zhang, Zhenxin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: With the vigorous development of the urban construction industry, engineering deformation or changes often occur during the construction process. To combat this phenomenon, it is necessary to detect changes in order to detect construction loopholes in time, ensure the integrity of the project and reduce labor costs. Or the inconvenience and injuriousness of the road. In the study of change detection in 3D point clouds, researchers have published various research methods on 3D point clouds. Directly based on but mostly based ontraditional threshold distance methods (C2C, M3C2, M3C2-EP), and some are to convert 3D point clouds into DSM, which loses a lot of original information. Although deep learning is used in remote sensing methods, in terms of change detection of 3D point clouds, it is more converted into two-dimensional patches, and neural networks are rarely applied directly. We prefer that the network is given at the level of pixels or points. Variety. Therefore, in this article, our network builds a network for 3D point cloud change detection, and proposes a new module Cross transformer suitable for change detection. Simultaneously simulate tunneling data for change detection, and do test experiments with our network.
Robustness of topologically protected transport in graphene-boron nitride lateral heterostructures
Creators: name: Abergel, D. S. L.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Previously, graphene nanoribbons set in lateral heterostructures with hexagonal boron nitride were predicted to support topologically protected states at low energy. We investigate how robust the transport properties of these states are against lattice disorder. We find that forms of disorder that do not couple the two valleys of the zigzag graphene nanoribbon do not impact the transport properties at low bias, indicating that these lateral heterostructures are very promising candidates for chip-scale conducting interconnects. Forms of disorder that do couple the two valleys, such as vacancies in the graphene ribbon, or substantial inclusions of armchair edges at the graphene-hexagonal boron nitride interface will negatively affect the transport. However, these forms of disorder are not commonly seen in current experiments.
description: Main text is eight pages with four figures, RevTeX. Supplementary material included
Metallized Film Capacitor Lifetime Evaluation and Failure Mode Analysis
Creators: name: Gallay, R.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Accelerator Physics (physics.acc-ph)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: One of the main concerns for power electronic engineers regarding capacitors is to predict their remaining lifetime in order to anticipate costly failures or system unavailability. This may be achieved using a Weibull statistical law combined with acceleration factors for the temperature, the voltage, and the humidity. This paper discusses the different capacitor failure modes and their effects and consequences.
description: 12 pages, contribution to the 2014 CAS - CERN Accelerator School: Power Converters, Baden, Switzerland, 7-14 May 2014
Canonical and symplectic analysis for three dimensional gravity without dynamics
Creators: name: Escalante, Alberto
name: Ochoa-Gutiérrez, H. H. Osmart
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: In this paper a detailed Hamiltonian analysis of three-dimensional gravity without dynamics proposed by V. Hussain is performed. We report the complete structure of the constraints and the Dirac brackets are explicitly computed. In addition, the Faddeev-Jackiw symplectic approach is developed; we report the complete set of Faddeev-Jackiw constraints and the generalized brackets, then we show that the Dirac and the generalized Faddeev-Jackiw brackets coincide to each other. Finally, the similarities and advantages between Faddeev-Jackiw and Dirac's formalism are briefly discussed.
Full mass dependence in Higgs boson production in association with jets at the LHC and FCC
Creators: name: Greiner, Nicolas
name: Hoeche, Stefan
name: Luisoni, Gionata
name: Schonherr, Marek
name: Winter, Jan-Christopher
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The first computation of Higgs production in association with three jets at NLO in QCD has recently been performed using the effective theory, where the top quark is treated as an infinitely heavy particle and integrated out. This approach is restricted to the regions in phase space where the typical scales are not larger than the top quark mass. Here we investigate this statement at a quantitative level by calculating the leading-order contributions to the production of a Standard Model Higgs boson in association with up to three jets taking full top-quark and bottom-quark mass dependence into account. We find that the transverse momentum of the hardest particle or jet plays a key role in the breakdown of the effective theory predictions, and that discrepancies can easily reach an order of magnitude for transverse momenta of about 1 TeV. The impact of bottom-quark loops are found to be visible in the small transverse momentum region, leading to corrections of up to 5 percent. We further study the impact of mass corrections when VBF selection cuts are applied and when the center-of-mass energy is increased to 100 TeV.
description: 32 pages, 17 figures, 4 tables
On transformation formulae for Srivastava-Daoust type $q$-hypergeometric series
Creators: name: Vyas, Yashoverdhan
name: Fatawat, Kalpana
Publisher: name: arXiv
Year: 2016
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 33C20, 33C70

description: We present here the $q$-analogues of certain transformations or reduction formulae for Srivastava-Daoust type double hypergeometric series. These reduction formulae are derived by utilizing the extended Bailey's Transform developed and studied by Joshi and Vyas [Int. J. Math. Sci., (12), 2005, 1909-1927]. A number of well-known $q$-hypergeometric transformations are also obtained as special cases of our results.
description: 11 pages
Measuring weak lensing correlations of Type Ia Supernovae
Creators: name: Scovacricchi, D.
name: Nichol, R. C.
name: Macaulay, E.
name: Bacon, D.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We study the feasibility of detecting weak lensing spatial correlations between Supernova (SN) Type Ia magnitudes with present (Dark Energy Survey, DES) and future (Large Synoptic Survey Telescope, LSST) surveys. We investigate the angular auto-correlation function of SN magnitudes (once the background cosmology has been subtracted) and cross-correlation with galaxy catalogues. We examine both analytical and numerical predictions, the latter using simulated galaxy catalogues from the MICE Grand Challenge Simulation. We predict that we will be unable to detect the SN auto-correlation in DES, while it should be detectable with the LSST SN deep fields (15,000 SNe on 70 deg^2) at ~6sigma level of confidence (assuming 0.15 magnitudes of intrinsic dispersion). The SN-galaxy cross-correlation function will deliver much higher signal-to-noise, being detectable in both surveys with an integrated signal-to-noise of ~100 (up to 30 arcmin separations). We predict joint constraints on the matter density parameter (Omega_m) and the clustering amplitude (sigma_8) by fitting the auto-correlation function of our mock LSST deep fields. When assuming a Gaussian prior for Omega_m, we can achieve a 25% measurement of sigma_8 from just these LSST supernovae (assuming 0.15 magnitudes of intrinsic dispersion). These constraints will improve significantly if the intrinsic dispersion of SNe Ia can be reduced.
description: 11 pages, accepted by MNRAS
Protocolo-Side effects of atypical antipsychotics. A systematic review.pdf
Creators: name: García Bravo, Joseph
name: Flores Mosquera, Karem Manuela
name: Cueva, Melisa
name: Icaza Cortez, Melany Dalila
name: Erazo, María José
name: Trujillo, Anthony
name: Zúñiga Carrasco, Danny Raúl
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 320221
subject: Psychiatry (incl. psychotherapy)

description: Atypical antipsychotics, also known as second-generation antipsychotics, have demonstrated efficacy in controlling both positive and negative symptoms of schizophrenia, as well as in the treatment of other psychotic disorders. However, despite their therapeutic benefits, atypical antipsychotics are also associated with a range of side effects.In this review, we aim to examine the most common adverse effects associated with the use of atypical antipsychotics in patients. It is important to note that the incidence and severity of these effects may vary among different atypical antipsychotic agents and also among individuals receiving treatment. However, there are some adverse effects that have been reported more frequently and warrant special attention.One of the most common adverse effects is weight gain and alteration of lipid metabolism. Certain atypical antipsychotics, such as olanzapine and clozapine, have been associated with an increased risk of weight gain, dyslipidemia, and the development of metabolic syndrome. These effects may predispose patients to cardiovascular diseases and type 2 diabetes, needing careful monitoring and appropriate management strategies.
Optical model potential of deuteron with $1p$-shell nuclei
Creators: name: Zhang, Y.
name: Pang, D. Y.
name: Lou, J. L.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: A set of global optical potential parameters, DA1p, for deuterons with the $1p$-shell nuclei is obtained by simultaneously fitting 67 sets of experimental data of deuteron elastic scattering from \nuc{6}{Li}, \nuc{9}{Be}, \nuc{10}{B}, \nuc{11}{B}, \nuc{12}{C}, \nuc{13}{C}, \nuc{14}{N}, \nuc{16}{O} and \nuc{18}{O} with incident energies between 5.25 and 170 MeV. DA1p improves the description of the deuteron elastic scattering from the $1p$-shell nuclei with respect to the existing systematic deuteron potentials and can give satisfactory reproduction to the experimental data with radiative nuclei such as \nuc{9}{Li}, \nuc{10}{Be}, \nuc{14}{C} and \nuc{14}{O}.
Visible camera cryostat design and performance for the SuMIRe Prime Focus Spectrograph (PFS)
Creators: name: Smee, Stephen A.
name: Gunn, James E.
name: Golebiowski, Mirek
name: Hope, Stephen C.
name: Madec, Fabrice
name: Gabriel, Jean-Francois
name: Loomis, Craig
name: Fur, Arnaud Le
name: Dohlen, Kjetil
name: Mignant, David Le
name: Barkhouser, Robert
name: Carr, Michael
name: Hart, Murdock
name: Tamura, Naoyuki
name: Shimono, Atsushi
name: Takato, Naruhisa
Publisher: name: arXiv
Year: 2016
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: We describe the design and performance of the SuMIRe Prime Focus Spectrograph (PFS) visible camera cryostats. SuMIRe PFS is a massively multi-plexed ground-based spectrograph consisting of four identical spectrograph modules, each receiving roughly 600 fibers from a 2394 fiber robotic positioner at the prime focus. Each spectrograph module has three channels covering wavelength ranges 380~nm -- 640~nm, 640~nm -- 955~nm, and 955~nm -- 1.26~um, with the dispersed light being imaged in each channel by a f/1.07 vacuum Schmidt camera. The cameras are very large, having a clear aperture of 300~mm at the entrance window, and a mass of $\sim$280~kg. In this paper we describe the design of the visible camera cryostats and discuss various aspects of cryostat performance.