Miracle-dz/UniFAR-FTUs huggingface dataset:
Related Polymorphism and Logistic Analysis of Surgical Anesthesia in Diabetes Patients

Objective: To study and investigate the safety and effectiveness of different ways of anesthesia on the diabetes patients undergoing surgery.Methods: A total of 262 cases of surgical patients with diabetes were selected.Among the patients,146 cases were per-formed waist and epidural anesthesia and 116 cases,general anesthesia.Results: The perioperative blood sugar level and mean insulin doses were less in combined spinal and epidural anesthesia group than in general anesthesia group,with statistical significance(P0.05). In com-bined spinal and epidural anesthesia group,the increased extent of fasting and postprandial blood glucose,glycated hemoglobin levels were less than those in general anesthesia group(P0.05). Through Logistic regression analysis,factors such as age,smoking,drinking and body mass index,except for gender,were highly correlated with the anesthesia effect on diabetes patients(positive). Conclusion: Waist and epidural anesthesia is better for patients with diabetes.
April 2014 pulmonary case of the month: DIP-what?

An echocardiogram was performed which was notable for a 16% left ventricular ejection fraction. A thoracic CT demonstrated some nodules and a question was raised of sarcoidosis. She was admitted to a hospital in Indiana and had a biventricular pacemaker placed. Bronchoscopy with transbronchial biopsy was performed with no diagnostic findings. No granulomas were seen on the biopsy. Bronchoalveolar lavage showed a CD4/CD8 ration of 0.84. Optic nerve swelling was noted at that time. Due to the cardiac, pulmonary, and optic nerve findings a clinical diagnosis of sarcoidosis with a dilated cardiomyopathy was made and she was treated with prednisone initially, then a combination of prednisone and methotrexate.
Analysis of transient deviation of closed eye on head rotation.-Trunk rotation without torsion

Transient ocular deviations with eyes closed were observed electronystagmographically in 20% of normal adults on trunk rotation without neck torsion. These were in the same direction as the rotation. The average angle of deviation was less than 15°. These reflex deviations were probably not elicited by input from the vestibular system but from the proprioceptors because they decreased in 9.1% when the head was bent 30° forward but were not affected by bending 60° backward or changing the velocity of rotation. Transient ocular deviations were less frequent and smaller on trunk rotation than on head rotation with neck torsion.
Residual Encoder–Decoder Conditional Generative Adversarial Network for Pansharpening

Due to the limitation of the satellite sensor, it is difficult to acquire a high-resolution (HR) multispectral (HRMS) image directly. The aim of pansharpening (PNN) is to fuse the spatial in panchromatic (PAN) with the spectral information in multispectral (MS). Recently, deep learning has drawn much attention, and in the field of remote sensing, several pioneering attempts have been made related to PNN. However, the big size of remote sensing data will produce more training samples, which require a deeper neural network. Most current networks are relatively shallow and raise the possibility of detail loss. In this letter, we propose a residual encoder–decoder conditional generative adversarial network (RED-cGAN) for PNN to produce more details with sharpened images. The proposed method combines the idea of an autoencoder with generative adversarial network (GAN), which can effectively preserve the spatial and spectral information of the PAN and MS images simultaneously. First, the residual encoder–decoder module is adopted to extract the multiscale features from the last step to yield pansharpened images and relieve the training difficulty caused by deepening the network layers. Second, to further enhance the performance of the generator to preserve more spatial information, a conditional discriminator network with the input of PAN and MS images is proposed to encourage that the estimated MS images share the same distribution as that of the referenced HRMS images. The experiments conducted on the Worldview2 (WV2) and Worldview3 (WV3) images demonstrate that our proposed method provides better results than several state-of-the-art PNN methods.
Understanding Bursty Star Formation in Dwarf Galaxies, Its Effect on Galactic Dynamics, and Implications for Reionization

Author(s): Emami, Najmeh | Advisor(s): Siana, Brian | Abstract: Dwarf galaxies -- galaxies with stellar masses below 10^9 solar mass are the most abundant galaxies in the universe. Due to their shallow gravitational potential well and small gas reservoirs, dwarfs are easily disrupted by supernovae feedback and can lose a fraction of their cold gas to the intergalactic medium in the form of outflows. Implementation of feedback into hydrodynamical simulations suggests that this phenomenon leads to a stochastic star formation history in these low-mass systems called bursty star formation. Burstiness can cause large variations of many physical quantities such as metallicity, morphology, radial velocity, dark matter density profile, etc. and can reconcile the discrepancies between the predictions from cold dark matter and observations in near-field cosmology.In order to characterize burstiness, we use two different star formation rate indicators that are sensitive to the recent and current star formation changes (Hα and UV1500 luminosities). We apply exponentially rising/falling burst models to determine the timescales and amplitudes of the bursts for each mass bin and compare the results to the simulations. We find that in lower mass galaxies, burstiness becomes stronger and shorter.Furthermore, we discuss the importance of dwarf galaxies to the reionization of the universe and describe our measurement of ξ_ion as one of the key components in determining the ionizing emissivity of dwarf galaxies. For that, we use of a sample of lensed dwarf galaxies at a redshift of 1l z l3, pushing the limits to higher redshifts and lower luminosities than others have studied before. We do not find any strong dependence between log(ξ_ion) and M_UV or UV spectral slope (β) and report a value of log(ξ_ion)= 25.5-25.6 for 21l M_UVl18. Lastly, we discuss the effect of burstiness on the dynamics and morphology of stars and gas inside dwarf galaxies. Our findings show that there is evidence of both size fluctuation and gas velocity variations being correlated with the UV1500-inferred star formation indicators especially at masses below 10^9 solar mass.
Extreme environmental forcing on the container ship SS El Faro

ABSTRACT The sinking of the cargo ship SS El Faro is investigated by providing a comprehensive analysis of the wind, wave and ocean currents associated with Hurricane Joaquin. Using state-of-the-art reanalyses the event is assessed in high resolution and from a long-term climate perspective. The last known location of the SS El Faro was in the north-west eye-wall of Hurricane Joaquin when it was a category four major Hurricane. The maximum individual wave height in this region was over 10 m and the Benjamin-Feir index was 0.69 indicating a high likelihood of rogue waves. As the vessel tried to outrun the hurricane it was continually impacted by strong wind and waves on its port side. This was compounded with flooding that caused a starboard list which likely eventually caused the vessel to sink.
Research on the effect of contents from Saururus chinensis on H_2O_2-induced LO2 Cell Damage

OBJECTIVE To study the protective effect of major contents from saururus chinensis on H2O2-induced LO2 cells damage.METHODS Tested samples are lignanoids: Rel-(7S,8R,7'R,8'R)-3,3',4,4',5,5'-hexamethoxy-7-O-7',8,8'-llignan、Di-O-methyltetra hydrofuriguaiacin B、Licarin A、Licarin B、Saucernetin and Dihydroguaiaretic acid;flavonoids : Isoquercitrin and Quercitrin.LO2 cells were cultured in 96 well plates.Then 100 μmol/L of tested samples were added.After 24 h,cells were treated with 1.2 mmol/L H2O2 for 4 h.MTT assay was used to detect survival rate of LO2 cells.RESULTS Isoquercitrin and quercitrin had distinguished protective effect,but licarin A and dihydroguaiaretic acid had distinguished damaging effect.CONCLUSION The study can be used as research theoretic basis of liver protection from saururus chinensis.
On the Stability of Unverified Transactions in a DAG-Based Distributed Ledger

Directed acyclic graphs (DAGs) are emerging as an attractive alternative to traditional blockchain architectures for distributed ledger technology. In particular, DAG ledgers with stochastic attachment mechanisms potentially offer many advantages over blockchain, including scalability and faster transaction speeds. However, the random nature of the attachment mechanism coupled with the requirement of protection against double-spending transactions might result in an unstable system in which not all transactions get eventually validated. Such transactions are said to be orphaned, and will never be validated. Our principal contribution is to propose a simple modification to the attachment mechanism for the Tangle (the IOTA DAG architecture). This modification ensures that all transactions are validated in finite time, and preserves essential features of the popular Monte Carlo selection algorithm. In order to demonstrate these results, we derive a fluid approximation for the Tangle (in the limit of infinite arrival rate) and prove that this fluid model exhibits the desired behavior. We also present simulations that validate the results for finite arrival rates.
THE L(2, 1)-F -LABELING PROBLEM OF GRAPHS

In order to unify various concepts of distance-two labelings, we consider a general setting of distance-two labelings as follows. Given a graph H , an L(2, 1)-H-labeling of a graph G is a mapping f from V (G) to V (H) such that dH(f(u), f(v)) ≥ 2 if dG(u, v) = 1 and dH(f(u), f(v)) ≥ 1 if dG(u, v) = 2. Suppose F is a family of graphs. The L(2, 1)-F -labeling problem is to determine the L(2, 1)-F -labeling number λF (G) of a graph G which is the smallest number |E(H)| such that G has an L(2, 1)-H-labeling for some H ∈ F . Notice that the L(2, 1)-F -labeling is the L(2, 1)-labeling (respectively, the circular distance-two labeling) if F is the family of all paths (respectively, cycles). The purpose of this paper is to study the L(2, 1)-F labeling problem.
Combined multiple spectral–spatial features and multikernel support tensor machine for hyperspectral image classification

Abstract. Due to the problem that current hyperspectral image tensor classification methods cannot make full use of the multiple spectral–spatial features of hyperspectral images (HSIs), a HSI spectral–spatial classification method based on multikernel support tensor machine is proposed. In the tensor structural space, using the 3-D Gabor wavelet and morphological attribute filters to obtain multiple texture features and multiple attribute structural features, respectively, our study combines multiple spectral–spatial features to classify the HSIs in the multikernel learning framework. By forming the multiple kernel function with the linear weighted combination of the single kernel functions, the proposed method calculates the weights using the iterative method to effectively utilize the multicomplementary features of hyperspectral imagery to perform collaborative classification. The experiments are performed on the widely used Pavia University and Salinas hyperspectral data sets. The classification results indicate that the proposed method can effectively integrate complementary spatial–spectral features, which have higher classification accuracy and better spatial continuity classification mapping when applied to the classification images.
All-Textile Corrugated Ground SIW Horn Antenna for Millimeter-Wave WBAN Applications

An all-textile H-plane substrate integrated waveguide (SIW) horn antenna for millimeter-wave wireless body area network applications is proposed. A coaxially fed SIW H-plane horn is designed for radiation toward a human body surface. To reduce the radiation to a human body and simultaneously increase the radiation to the human body surface, an extended corrugated ground is attached in front of the aperture of a horn. All components are made of textile materials. The simulated 10 dB return loss bandwidth is 2,400 MHz (26.7–29.1 GHz), which covers a potential candidate frequency band for 5G communication. The simulated and measured results show that the proposed antenna has a directional radiation pattern toward the body surface and a low power density below the antenna.
PENGARUH BRAND IMAGE, PROMOSI, DAN PENGETAHUAN TERHADAP KEPUTUSAN MENABUNG DI BTN SYARIAH DENGAN KEPERCAYAAN SEBAGAI VARIABEL INTERVENING (Studi Kasus pada Bank BTN Syariah KC Semarang)

ABSTRAK Masturoh, Iqo Matul, 2018. Pengaruh BrandImage, Promosi dan Pengetahuan Terhadap Keputusan Menabung di BTN Syariah dengan kepercayaan Sebagai Variabel Intervening (Studi Kasus pada Bank BTN Syariah KC Semarang) Tujuan penelitian ini adalah untuk mengetahui Pengaruh BrandImage, Promosi dan Pengetahuan Terhadap Keputusan Menabung di BTN Syariah dengan kepercayaan Sebagai Variabel Intervening (Studi Kasus pada Bank BTN Syariah KC Semarang). Metode pengumpulan data dilakukan melalui kuesioner yang dibagikan kepada nasabah tabungan Bank Tabungan Negara(BTN) Syariah KC Semarang. Sampel yang digunakan dalam penelitian ini sebanyak 100 responden dengan teknik pengambilan purposive sampling dengan criteria minimal menajadi nasabah selama 1 tahun. Data yang diperoleh kemudian diolah menggunakan alat analisis SPSS versi 23. Analisis ini meliputi uji validitas, uji reliabilitas, uji asumsi klasik, uji statistik melalui uji statistik t, uji statistik F, koefisien determinasi (R2), dan uji analisis jalur (path analysis) Berdasarkan hasil uji t pertama menunjukkan hasil bahwa variabel brandimage, promosi, dan pengetahuan berpengaruh positif dan signifikan terhadap kepercayaan. Hasil uji t kedua menunjukkan variabel brandimage, promosi, pengetahuan dan kepercayaan berpengaruh positif dan signifikan terhadap keputusan menabung di BTN Syariah. Variabel kepercayaan mampu memediasibrandimage, promosi dan pengetahuan terhadap keputusan menabung di BTN Syariah. Kata Kunci: BrandImage, Promosi, Pengetahuan, Kepercayaan, Keputusan Menabung
Intrinsic Dipole Coupling in 2D van der Waals Ferroelectrics for Gate‐Controlled Switchable Rectifier

Miniaturization of device elements, such as ferroelectric diodes, depends on the downscaling of ferroelectric film, which is also crucial for developing high‐density information storage technologies of ferroelectric random access memories (FeRAMs). Recently emerged ferroelectric two‐dimensional (2D) van der Waals (vdWs) layered materials bring an additional opportunity to further increase the density of FeRAMs. A lateral, switchable rectifier is designed and fabricated based on atomically thin 2D α‐In2Se3 ferroelectric diodes, thus breaking the thickness limitation of conventional ferroelectric films and achieving an unprecedented level of miniaturization. This is realized through the interrelated coupling between out‐of‐plane and in‐plane dipoles at room temperature; that is, horizontal polarization reversal can be effectively controlled through a vertical electric field. Being further explored as a switchable rectifier, the obtained maximum value of rectification ratio for the α‐In2Se3 based ferroelectric diode can reach up to 2.5 × 103. These results indicate that 2D ferroelectric semiconductors can offer a pathway to develop next‐generation multifunctional electronics.
Un método de segmentación para el análisis de circuitos de microondas mediante el uso combinado del método de elementos finitos en 3-d y análisis modal

Se presenta un metodo de analisis de circuitos pasivos de microondas basado en la tecnica de segmentacion. Estructuras complejas tridimensionales se dividen en regiones cuyas puertas se corresponden con guias de onda. En cada puerta se realiza la expansion del campo en terminos de los modos de estas guias. La combinacion del metodo de Analisis Modal con el MEF-2-D(MEF2-D/AM) permite analizar eficientemente cascadas de discontinuidades en guia de onda, en tanto que su utilizacion conjunta con el MEF 3D (MEF 3-D/AM) se aplica al estudio de regiones tridimensionales complejas de tamano reducido. Como paso previo, se desarrollan elementos covariantes 2-D y 3-D de distintos ordenes y se comparan entre si con el fin de elegir el elemento a utilizar en el MEF 3-D/AM. Para la implementacion del MEF 3- D/AM se propone una nueva formulacion que se muestra muy eficiente en el analisis multimodo de regiones reducidas. Esta formulacion proporciona la Matriz de Admitancia Generalizada (MAG) y, a partir de esta, la Matriz de Dispersion Multimodo Multipuerta (MDMM). La respuesta global del circuito se obtiene conectando las MDMMs obtenidas. Para aumentar las posibilidades de analisis se realiza la extension del metodo al estudio de regiones con puertas radiales. Como aplicacion se analizan diferentes dispositivos de microondas.
When Does Communication Learning Need Hierarchical Multi-Agent Deep Reinforcement Learning

Abstract Multi-agent systems need to communicate to coordinate a shared task. We show that a recurrent neural network (RNN) can learn a communication protocol for coordination, even if the actions to coordinate are performed steps after the communication phase. We show that a separation of tasks with different temporal scale is necessary for successful learning. We contribute a hierarchical deep reinforcement learning model for multi-agent systems that separates the communication and coordination task from the action picking through a hierarchical policy. We further on show, that a separation of concerns in communication is beneficial but not necessary. As a testbed, we propose the Dungeon Lever Game and we extend the Differentiable Inter-Agent Learning (DIAL) framework. We present and compare results from different model variations on the Dungeon Lever Game.
Inference under Fine-Gray competing risks model with high-dimensional covariates

Abstract: The purpose of this paper is to construct confidence intervals for the regression coefficients in the Fine-Gray model for competing risks data with random censoring, where the number of covariates can be larger than the sample size. Despite strong motivation from biomedical applications, a high-dimensional Fine-Gray model has attracted relatively little attention among the methodological or theoretical literature. We fill in this gap by developing confidence intervals based on a one-step bias-correction for a regularized estimation. We develop a theoretical framework for the partial likelihood, which does not have independent and identically distributed entries and therefore presents many technical challenges. We also study the approximation error from the weighting scheme under random censoring for competing risks and establish new concentration results for time-dependent processes. In addition to the theoretical results and algorithms, we present extensive numerical experiments and an application to a study of non-cancer mortality among prostate cancer patients using the linked Medicare-SEER data.
The role of semantic predictability in adaptation to non-native-accented speech

Non-native-accented speech is more difficult for native listeners to understand than native-accented speech. However, listeners can improve their abilities to understand nonnative—accented speech through exposure and training. The goal of this project is to explore whether exposing native listeners to different sentence types affects listeners' adaptation to non-native speech. Listeners will be trained on high predictability sentences (e.g., “The color of a lemon is yellow”), low predictability sentences (e.g., “Mom said that it is yellow”), or semantically anomalous sentences (e.g., “The green week did the page”). Previous research has demonstrated that semantic predictability impacts speech perception, but its influence on adaptation to nonnative speech is unknown. Will training with low predictability or anomalous stimuli require listeners to focus more attention on the acoustic-phonetic properties of the accent and thus lead to greater adaptation and generalizable learning? Or will training with high predictability stimuli provide valuable semantic information that will allow listeners to create a better framework for improving perception? The data from this experiment will shed light on perceptual mechanisms, including how semantic predictability interacts with adaptation and learning.Non-native-accented speech is more difficult for native listeners to understand than native-accented speech. However, listeners can improve their abilities to understand nonnative—accented speech through exposure and training. The goal of this project is to explore whether exposing native listeners to different sentence types affects listeners' adaptation to non-native speech. Listeners will be trained on high predictability sentences (e.g., “The color of a lemon is yellow”), low predictability sentences (e.g., “Mom said that it is yellow”), or semantically anomalous sentences (e.g., “The green week did the page”). Previous research has demonstrated that semantic predictability impacts speech perception, but its influence on adaptation to nonnative speech is unknown. Will training with low predictability or anomalous stimuli require listeners to focus more attention on the acoustic-phonetic properties of the accent and thus lead to greater adaptation and generalizable learning? Or will training with high .
Effect of hydrogen derived from oxygen source on low-temperature ferroelectric TiN/Hf0.5Zr0.5O2/TiN capacitors

The ferroelectric (FE) properties of 10-nm-thick Hf0.5Zr0. 5O2 (HZO) films deposited by an atomic layer deposition technique were improved by adopting O3 as an oxygen source instead of H2O. All HZO films were annealed at 400 °C for 1 min in an N2 atmosphere after TiN top electrode deposition. Regardless of the oxygen source, the HZO films exhibited the formation of a noncentrosymmetric orthorhombic phase, which is responsible for FE behavior with the suppression of the monoclinic phase. However, compared to the O3-based HZO film, it was confirmed that the H2O-based HZO film was more incorporated with hydrogen derived from H2O, thereby degrading FE polarization and leakage behavior. The results indicate that the strategy of using O3 as the oxygen source is useful for the fabrication and integration of FE HZO films for next-generation memory applications.
Condensed Matter Physics

Condensed matter physics is a branch of physics that deals with the physical properties of condensed phases of matter. Condensed matter physicists seek to understand the behavior of these phases by using physical laws. In particular, these include the laws of quantum mechanics, electromagnetism and statistical mechanics. The most familiar condensed phases are solids and liquids, while more exotic condensed phases include the superconducting phase exhibited by certain materials at low temperature, the ferromagnetic and antiferromagnetic phases of spins on atomic lattices, and the Bose–Einstein condensate found in cold atomic systems. The study of condensed matter physics involves measuring various material properties via experimental probes along with using techniques of theoretical physics to develop mathematical models that help in understanding physical behavior.
A Linearization Concept for Integrated-Optic Modulators

A novel linearization concept to reduce the distor- tion products from integrated-optic modulators is proposed and analyzed. The proposed linearization concept could be used on any type of modulator with an odd transfer function. In our case, we linearized a dual parallel Mach-Zehnder modulator and compared our results against a conventional linearization concept. We have found that the proposed concept gives a 40% higher modulation index compared to a concept based on reduc- tion of the cubic nonlinearity of the modulator.