Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic Deposits: The Role of Inflows on Future Outflows

Deposits serve as the main form of bank financing and are an important source of capital in the economy. However, unlike other liabilities, 43% of deposits flows do not stem from a bank actively seeking them. This in turn raises equity issuance concerns among the bank’s shareholders. In this paper, we show that banks seek to compensate for more frequent costly equity issuances by reaching for yield and raising risk. When the fed funds rate rises, banks that experienced these deposit inflows face higher losses and deposit outflows. The main driver of the effect is uninsured deposits, as they represent the major source of deposit volatility, increasing more equity issuance concerns. This mechanism also plays a key role in understanding the 2022-2023 U.S. bank fragility episode, as the risky exposures of banks were amplified following deposit inflows in 2020-2021. High deposit inflows can serve as an early indicator for understanding changes in bank risk and future deposit outflows—and even runs to the bank—assisting depositors, bankers, stakeholders, and policymakers.
Study on the Stratiform Cloud Numerical Model and Actual Observation

With the help of the improved one-dimensional stratiform cloud raindrop category model,in this thesis,we have simulated the three different precipitations in Changchun,Jilin Province,on June 21,2005 and made a comparison between the results and the data obtained through actual observation,taking advantage of the stratiform cloud raindrop category model in calculating the raindrop spectrum and the natural development of the precipitation intensity.The results show that the improved model tends to be much more stable in calculating and it can simulate the raindrop spectrum closest to the actual precipitation spectrum.Succeeding in solving the problem that it is difficult to directly measure the updraft velocity of the strtiform cloud,we fit the data calculated in various schemes of updraft velocity with the actual radar echo profile below the zero-temperature level,and therefore achieve the aim of measuring the quantitative precipitation via comparison of the radar echo with the model.The comparison between the data simulated and those actually observed reveals that due to the updraft velocity the contribution that the collision process in warm area has made to this precipitation is about 10%.
Utilização de película de poliuretano na síntese cutânea de gatas após celiotomia

Introducao - A pelicula de poliuretano e um filme transparante, semipermeavel e autoadesivo, primeiramente utilizada em queimaduras e na protecao de cateteres venosos centrais em unidades de terapia intensiva. Sua principal propriedade e a constituicao de uma barreira capaz de proteger a pele lesada contra colonizacao bacteriana, sem impedir trocas gasosas entre tecido e ambiente. O presente estudo, objetivou avaliar as vantagens do emprego deste adesivo como tecnica alternativa na sintese cutânea de felinos domesticos submetidos a laparotomia. Metodos - Foram utilizadas 25 gatas, nas quais realizou-se celiotomia mediana para ovariosalpingohisterectomia eletiva. Os procedimentos pre e trans-cirurgicos foram habituais com preparo de rotina e do campo operatorio, seguido por celiotomia pre-retroumbical, ligaduras dos pediculos e corpo uterino com fio de nylon 2-0 e sutura da linha alba com o mesmo material em pontos simples separados. Apos aproximacao do tecido subcutâneo com fio categute 4-0, foi empregada bandagem porosa adesiva hipoalergenica para cooptacao das margens da ferida cirurgica cutânea, seguida pela aplicacao de pelicula de poliuretano. Resultados - Todos animais foram reexaminados sete dias apos o ato operatorio, momento no qual a pelicula foi removida. Nao houve deiscencia ou sinais de infeccao em nenhum dos animais. No entanto, quatro gatas apresentaram eritema localizado na regiao de aplicacao do material, o qual foi tratado com iodo povidine durante tres dias consecutivos. Conclusao - Por meio dos resultados obtidos, conclue-se que o uso da pelicula de poliuretano na pele em substituicao as suturas convencionais apos a realizacao de celiotomia representa procedimento mais rapido e pratico que as tecnicas usualmente utilizadas com este fim.
The First Feedback and Stellar Tidal Disruptions by Direct Collapse Black Holes

We analyze the early growth stage of direct-collapse black holes (DCBHs) with $\sim 10^{5} \ \rm M_\odot$, which are formed by collapse of supermassive stars in atomic-cooling halos at $z \gtrsim 10$. A nuclear accretion disk around a newborn DCBH is gravitationally unstable and fragments into clumps with a few $10 \ \rm M_\odot$ at $\sim 0.01-0.1 \ \rm pc$ from the center. Such clumps evolve into massive metal-poor stars with a few $10-100 \ \rm M_\odot$ via successive gas accretion and a nuclear star cluster is formed. Radiative and mechanical feedback from an inner slim disk and the star cluster will significantly reduce the gas accretion rate onto the DCBH within $\sim 10^6$ yr. Some of the nuclear stars can be scattered onto the loss cone orbits also within $\lesssim 10^6$ yr and tidally disrupted by the central DCBH. The jet luminosity powered by such tidal disruption events can be $L_{\rm j} \gtrsim 10^{50} \ \rm erg \ s^{-1}$. The prompt emission will be observed in X-ray bands with a peak duration of $\delta t_{\rm obs} \sim 10^{5-6} \ (1+z) \ \rm s$ followed by a tail $\propto t_{\rm obs}^{-5/3}$, which can be detectable by {\it Swift} BAT and eROSITA even from $z \sim 20$. Follow-up observations of the radio afterglows with, e.g., VLA and the host halos with JWST can probe the earliest AGN feedback from DCBHs.
A predictive model for bankruptcy: ANN, LSTM and CNN approaches

Predicting bankruptcy is the focus of our research, which is one of the important aspects of research, as due to bankruptcy both company’s goodwill and shareholders’ benefits are affected. In order to predict bankruptcy, reliable models are required. The focus of this paper is based on different deep learning models. However, developing deep learning models for forecasting bankruptcy is one of the challenging tasks as most of the datasets are imbalanced in nature. So we first try to balance the dataset. US Bankruptcy Prediction Data set (1971-2017) is taken here, which is very imbalanced in nature. To balance the dataset both undersampling and oversampling and one hybrid method are used. In this research, a comparison is made among three different types of models like CNN, LSTM and ANN by applying all balancing techniques on each classifying model, for the prediction of bankruptcy. Here we get that the ANN model gives better results than the other two whatever balancing technique may be used and among the balancing techniques oversampling is far better than undersampling, but here the hybrid sampling method outperformed all in each classification model as compared to the others.
Ambiguity in Mind: Modeling Working-Memory Limits and Belief Quantization Under Uncertainty

Much of the ambiguity that economic decision makers face may stem from scarce cognitive resources, such as limits on working-memory capacity. This paper constructs a simple model of bounded judgment based on the idea that an agent’s maximum working-memory capacity is limited in two dimensions: any bounded agent faces limits on both the 1) number and 2) sizes of units of evidence that she can hold in mind at once when generating subjective beliefs. It is shown how this two-dimensional limit on working-memory capacity tends to cause ambiguity in the minds of bounded agents, and that, to cope with this mental ambiguity, bounded agents almost always distort their beliefs. These distortions are representable by quantization functions, which restrict bounded agents’ subjective beliefs to a finite, context-dependent subset of values along the unit interval (i.e., beliefs are ‘quantized’). Modeling belief distortions and ambiguity through quantization allows a unified explanation of several anomalous phenomena in choice that does not require agents to have any complicated preferences; these anomalies include: the Ellsberg paradox, hard-easy effects, and description-experience gaps. Finally, it is shown how working-memory limits and salience can help agents to rapidly spot patterns.
Resilient guaranteed cost control for uncertain descriptor systems

The designation idea of resilient controller is introduced to a class of uncertain descriptor system.Based on linear matrix inequality(LMI) techniques,the problem of guaranteed cost control is addresed,where the uncertainties exist both in the systematic matrix and in the controller gain.Under the additive perturbation,the sufficient and necessary condition of resilient guaranteed cost is presented,and the corresponding controller design is given in terms of the feasible solutions of LMIs.Through solving the convex optimization problem with LMI constraints,in the sense of minimizing cost upper bound,the design of resilient controller is given.A numerical example is given to illustrate the feasibility of the designed method.
High Mg content wurtzite phase MgxZn1-xO epitaxial film grown via pulsed-metal organic chemical vapor deposition (PMOCVD)

We report on high quality, wurtzite MgxZn1-xO (MgZnO) epitaxial films grown via the PMOCVD method with a record high Mg content up to 51 %. A series of MgZnO films with various Mg content were grown on ZnO (~30 nm)/Al2O3(0001) and ZnO (~30 nm)/AlN (~25 nm)/Al2O3(0001) substrates. The band gap for the films estimated using UV-visible transmission spectroscopy ranges from 3.24 - 4.50 eV, corresponding to the fraction of Mg between x=0.0 to x=0.51, as determined by Rutherford backscattering spectroscopy (RBS). The cathodoluminescence (CL) measurement showed a blue shift in the spectral peak position of MgZnO, indicating an increase in Mg content. No multi-absorption edges and CL band splitting were observed, suggesting the absence of phase segregation in the as grown films. The phase purity and crystal structure of the films were further confirmed by XRD. The absence of phase separation is attributed to the fast periodic transition steps in the PMOCVD, creating a non-equilibrium system where radicals that are formed will have insufficient time to reach their energy minimum. AFM analysis of the films had decreasing surface roughness with increasing Mg content. MSM photodetector was fabricated from the films to characterize the spectral response. The devices exhibit peak response ranging between 276 - 383 nm, covering a large portion of the solar blind spectral window. Moreover, the Schottky barrier was enhanced by treating the MgZnO surface with H2O2, reducing the device’s dark current.
Prevalences and Indications of Psychotropic Drug Prescriptions in Nursing Home Residents with Korsakoff Syndrome

Psychotropic drugs (PD) are often prescribed to nursing home residents with Korsakoff syndrome (KS). It is unknown whether these drugs are prescribed correctly or whether they are prescribed off-label, for example, to treat behavioral symptoms. To get more insight into PD prescriptions, a descriptive study was performed. The type, category and indications of PD prescriptions of 285 participants were analyzed using medication charts and questionnaires. Behavioral symptoms were investigated with the Neuropsychiatric Inventory-Questionnaire. The results showed that atypical antipsychotics (57.1%) were prescribed more frequently than typical antipsychotics (49.3%). Of the antidepressants, selective serotonin/norepinephrine reuptake inhibitors (63.1%) were most frequently prescribed, followed by tricyclic antidepressants (23.4%). Of the benzodiazepines, anxiolytics (85.7%) were more prescribed than hypnotics (24.5%). Besides psychiatric disorders, PD were also prescribed to treat behavioral symptoms varying from 29.9% (antipsycho-tics) to 26.3% (benzodiazepines) and 9.3% (antidepressants). Furthermore, prescriptions were high if behavioral symptoms were present. To conclude, PD are often prescribed to residents with KS for an unapproved indication, namely behavioral symptoms. Additional research is needed to obtain further insight into the current prescribing culture and the effectiveness of PD. The insights thus obtained may, ultimately, contribute to the appropriate prescription of PD for people with KS.
Critical Exponents of Quantum Phase Transition Between U(5) and O(6) Limits of Interacting Boson Model

In this paper, Landau theory for phase transitions is shown to be a useful approach for quantal system such as atomic nucleus. A detailed analysis of critical exponents of ground state quantum phase transition between U(5) and O(6) limits of interacting boson model is presented. Our results suggest a similarity between these two frameworks and a second order phase transition between these limits based on a discontinuity in the heat capacity.
Giant Piezocaloric Effect in PZT Ceramic Film

The paper focuses on the analysis of the multicaloric effect in solids. In particular, the presented approach is applicable to thin films as well. For the piezoelectric material, the multicaloric phenomenon includes two well-known effects: electro and elastocaloric; and two new ones - piezoelectocaloric and flexocaloric. These new effects are due to the temperature dependence of the piezoelectric and flexoelectric coefficients. The piezoelectric effect at medium fields is found to be comparable with the electrocaloric one and can be called a giant. The obtained results can be used for the design and optimization of new cooling devices and generators.
Recent Progresses in Machine Learning Assisted Raman Spectroscopy

With the development of Raman spectroscopy and the expansion of its application domains, conventional methods for spectral data analysis have manifested many limitations. Exploring new approaches to facilitate Raman spectroscopy and analysis has become an area of intensifying focus for research. It has been demonstrated that machine learning techniques can more efficiently extract valuable information from spectral data, creating unprecedented opportunities for analytical science. This paper outlines traditional and more recently developed statistical methods that are commonly used in machine learning (ML) and ML‐algorithms for different Raman spectroscopy‐based classification and recognition applications. The methods include Principal Component Analysis, K‐Nearest Neighbor, Random Forest, and Support Vector Machine, as well as neural network‐based deep learning algorithms such as Artificial Neural Networks, Convolutional Neural Networks, etc. The bulk of the review is dedicated to the research advances in machine learning applied to Raman spectroscopy from several fields, including material science, biomedical applications, food science, and others, which reached impressive levels of analytical accuracy. The combination of Raman spectroscopy and machine learning offers unprecedented opportunities to achieve high throughput and fast identification in many of these application fields. The limitations of current studies are also discussed and perspectives on future research are provided.
Cotorsion triple and applications

The triple $(\mathcal{X}, \mathcal{Z}, \mathcal{Y})$ of subcategories of an abelian category $\mathcal{A}$ is called a cotorsion triple if $(\mathcal{X}, \mathcal{Z})$ and $(\mathcal{Z}, \mathcal{Y})$ are cotorsion pairs in $\mathcal{A}$. The aim of this paper is to investigate properties of cotorsion triples and give some applications on homology and homotopy theories.
The relationship between social class and unethical and prosocial (traffic) behavior: two naturalistic replication studies

ABSTRACT Whereas some previous studies have shown that upper-class individuals are more unethical and less prosocial than lower-class individuals, other studies reported contradictory results. The present research provides two replication attempts by examining whether upper-class drivers would be more likely to cut off a pedestrian at a marked crosswalk (Study 1) and less likely to let a pedestrian cross an unmarked pedestrian crossing (Study 2) than lower-class drivers. In both studies, the vehicle status as an index of the social class of the driver was not significantly related to whether the driver let the pedestrian cross the street. Overall, it appears that the associations between social class and unethical behavior and prosocial behavior are less robust and generalizable than initially thought.
Temporal Graph Cube

Data warehouse and OLAP (Online Analytical Processing) are effective tools for decision support on traditional relational data and static multidimensional network data. However, many real-world multidimensional networks are often modeled as temporal multidimensional networks, where the edges in the network are associated with temporal information. Such temporal multidimensional networks typically cannot be handled by traditional data warehouse and OLAP techniques. To fill this gap, we propose a novel data warehouse model, named <inline-formula><tex-math notation="LaTeX">$\mathsf {Temporal{ }\; Graph{ }\; Cube}$</tex-math><alternatives><mml:math><mml:mrow><mml:mi mathvariant="sans-serif">Temporal</mml:mi><mml:mspace width="4pt"/><mml:mi mathvariant="sans-serif">Graph</mml:mi><mml:mspace width="4pt"/><mml:mi mathvariant="sans-serif">Cube</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="wang-ieq1-3270460.gif"/></alternatives></inline-formula>, to support OLAP queries on temporal multidimensional networks. Through supporting OLAP queries in any time range, users can obtain summarized information of the network in the time range of interest, which cannot be derived by using traditional static graph OLAP techniques. We propose a segment-tree based indexing technique to speed up the OLAP queries, and also develop an index-updating technique to maintain the index when the temporal multidimensional network evolves over time. In addition, we also propose a novel concept called <inline-formula><tex-math notation="LaTeX">$\mathsf {similarity{ }\; of{ }\; snapshots}$</tex-math><alternatives><mml:math><mml:mrow><mml:mi mathvariant="sans-serif">similarity</mml:mi><mml:mspace width="4pt"/><mml:mi mathvariant="sans-serif">of</mml:mi><mml:mspace width="4pt"/><mml:mi mathvariant="sans-serif">snapshots</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="wang-ieq2-3270460.gif"/></alternatives></inline-formula> which shows a strong correlation with the efficiency of indexing technique and can provide a good reference on the necessity of building the index. The results of extensive experiments on two large real-world datasets demonstrate the effectiveness and efficiency of the proposed method.
IIB string theory explored: Reflection 7-branes

The Swampland Cobordism Conjecture successfully predicts the supersymmetric spectrum of 7-branes of IIB / F-theory. Including reflections on the F-theory torus, it also predicts the existence of new non-supersymmetric objects, which we dub reflection 7-branes (R7-branes). We present evidence that these R7-branes only exist at strong coupling. R7-branes serve as end of the world branes for 9D theories obtained from type IIB asymmetric orbifold and Dabholkar-Park orientifold backgrounds, and an anomaly inflow analysis suggests the existence of a gapless Weyl fermion, which would have the quantum numbers of a goldstino. Using general arguments, we conclude that different kinds of branes are able to end on the R7, and accounting for their charge requires exotic localized degrees of freedom, for which the simplest possibility is a massless 3-form field on the R7-brane worldvolume. We also show how to generalize the standard F-theory formalism to account for reflections.
On the interaction between sonorancy and voicing

In this paper we present an analysis of the relationship between sonorancy and voicing based on a theory of segmental structure which recognizes the possibility that voice may not be a unitary phenomenon. We propose that voicing has two distinct realizations. One is through the activation of laryngeal features and the other is spontaneous voicing. We propose that sonorants involve a node which represents spontaneous voicing and that this may also be present in obstruents. We adopt the term SV for this node (see also Piggott 1989). We thus view spontaneous voice as distinct from laryngeal features, sharing the general position of Stevens & Keyser (1989) who state that "voice might be classed as a manner feature" separate from the laryngeal features which deal with laryngeal configurations. An advantage of the feature geometry that we propose in this paper is that it allows an account of sonorant-sonorant interactions, as sonorant features such as [nasal] and [lateral] are both dominated by the SV node. A further advantage is that we are able to shift the burden of explanation from the rule component to the representational component. By recognizing two types of voicing, we eliminate the use of redundancy rules in the specification of voice for sonorants as a method of accounting for phonological processes.
Accumulation of Neutrophil Phagocytic Antibody Features Tracks With Naturally Acquired Immunity Against Malaria in Children.

BACKGROUND Studies have demonstrated the protective role of antibodies against malaria. Young children are known to be particularly vulnerable to malaria, pointing to the evolution of naturally acquired clinical immunity over time. However, whether changes in antibody functionality track with the acquisition of naturally acquired malaria immunity remains incompletely understood. METHODS Using systems serology, we characterized sporozoite- and merozoite-specific antibody profiles of uninfected Malian children before the malaria season who differed in their ability to control parasitemia and fever following Plasmodium falciparum (Pf) infection. We then assessed the contributions of individual traits to overall clinical outcomes, focusing on the immunodominant sporozoite CSP and merozoite AMA1 and MSP1 antigens. RESULTS Humoral immunity evolved with age, with an expansion of both magnitude and functional quality, particularly within blood-stage phagocytic antibody activity. Moreover, concerning clinical outcomes postinfection, protected children had higher antibody-dependent neutrophil activity along with higher levels of MSP1-specific IgG3 and IgA and CSP-specific IgG3 and IgG4 prior to the malaria season. CONCLUSIONS These data point to the natural evolution of functional humoral immunity to Pf with age and highlight particular antibody Fc-effector profiles associated with the control of malaria in children, providing clues for the design of next-generation vaccines or therapeutics.
The bounds on the rate of uniform convergence of learning process based on complex fuzzy variable on credibility space

In the statistical learning theory,the important conclusions about the relation between the empirical risk and practical risk are expressed in the form of the bounds of generalization.They become essential when analyzing the capacity of learning machines and developing new learning algorithms.The bounds on the rates of uniform convergence of learning process are important components of the bounds of generalization.Some properties of complex fuzzy variable were presented on credibility measure space.According to these properties,the bounds on the rates of uniform convergence of learning process based on complex fuzzy variable on credibility measure space were given and proven.The investigations lay essential theoretical foundations for the systematic and comprehensive development of the complex statistical learning theory on credibility space.