Miracle-dz/UniFAR-FTUs huggingface dataset:
Ab-initio study of the eﬀect of bromide mixing into RbPbI 3 on the structural, electronic and optical properties

The ultra-high eﬃciency and cost-eﬀective photovoltaics based on halide preovskites have brought a revolution to ongoing photovoltaic research, surpassing the expectations of the scientiﬁc commu-nity. However, structural stability is a severe issue that hinders their wide-scale integration at the device level. Compositional engineering with the halide mixing has become an eﬃcient way to deal with this issue without compromising device eﬃciency. Herein, the structural, electronic and optical properties of the bromide mixed orthorhombic RbPb(I 1–x Br x ) 3 (where, x = 0 . 25, 0 . 50 and 0 . 75) are calculated using the density functional theory. The electronic bandstructure and density of states (DOS) are calculated using both PBE (Perdew-Burke-Ernzerhof) and TB-mBJ (Tran Blaha modiﬁed Becke Johnson) potential. The lowest energy bandgaps of 2 . 288 and 2 . 986 eV for bromide mixing of x = 0 . 50 are obtained using PBE and TB-mBJ, respectively. In contrast, the mixed bromide phases possess a smaller eﬀective mass, facilitating a better carrier transport through the mixed halide. Using PBE, the excitons appear to be the Mott-Wannier type. However, the TB-mBJ predicts the exciton to be Frenkel type for bromide mixing of x = 0 . 75 and a Mott-Wannier type for all other mixing under study. The spectroscopic limited maximum eﬃciency (SLME) is observed to be at the highest values of 14 . 0% and 4 . 1% for the equal admixture of I and Br using PBE and TB-mBJ, respectively. The calculated properties are consistent with the reported data of the similar structures.
Hydrogen Peroxide Induces 21-Aminosteroid-Inhibitable F2-lsoprostane Production and Cytolysis in Renal Tubular Epithelial Cells1

F2-isoprostanes are the newly identified reactive oxygen species-catalyzed peroxidation products of arachidonate. The infusion of these prosfaglandin F2-like prostanaoids into the rat kidney induces pro-found parallel reductions in RBF and GFR, suggesting that these metobolltes may be partly responsible for the hemodynamic alterations seen in free radical-linked acute renal injury models. The present study examined directly in renal proximal tubular (LLC-PK1) cells whether hydrogen peroxide, a reactive oxygen species implicated in many models of acute renal injury, induces F2-isoprostane production and whether its production can be inhibited by the recently synthesized lipid peroxidation inhibitor 21-aminosteroid (laz-aroid U-74389G). by which ameliorate renal dysfunction in experimental models of acute renal injury.
T Cell + Pathway, in the Absence of CD4 Soluble Protein by the Exogenous Cytosolic Cytotoxic T Cell Response to Entrapped + Archaeosomes Induce Long-Term CD8

The unique ether glycerolipids of Archaea can be formulated into vesicles (archaeosomes) with strong adjuvant activity for MHC class II presentation. Herein, we assess the ability of archaeosomes to facilitate MHC class I presentation of entrapped protein Ag. Immunization of mice with OVA entrapped in archaeosomes resulted in a potent Ag-speciﬁc CD8 1 T cell response, as measured by IFN- g production and cytolytic activity toward the immunodominant CTL epitope OVA 257–264 . In contrast, administration of OVA with aluminum hydroxide or entrapped in conventional ester-phospholipid liposomes failed to evoke signiﬁcant CTL response. The archaeosome-mediated CD8 1 T cell response was primarily perforin dependent because CTL activity was undetect-able in perforin-deﬁcient mice. Interestingly, a long-term CTL response was generated with a low Ag dose even in CD4 1 T cell deﬁcient mice, indicating that the archaeosomes could mediate a potent T helper cell-independent CD8 1 T cell response. Macrophages incubated in vitro with OVA archaeosomes strongly stimulated cytokine production by OVA-speciﬁc CD8 1 T cells, indicating that archaeosomes efﬁciently delivered entrapped protein for MHC class I presentation. This processing of Ag was Brefeldin A sensitive, suggesting that the peptides were transported through the endoplasmic reticulum and presented by the cytosolic MHC class I pathway. Finally, archaeosomes induced a potent memory CTL response to OVA even 154 days after immunization. This correlated to strong Ag-speciﬁc up-regulation of CD44 on splenic CD8 1 T cells. Thus, delivery of
KONVOLŪCIJU NEIRONU TĪKLU ARHITEKTŪRU ĀTRDARBĪBAS EKSPERIMENTĀLAIS SALĪDZINĀJUMS EXPERIMENTAL COMPARISON OF CONVOLUTION NEURON NETWORK ARCHITECTURES

In this work, authors experimentally compare latencies of convolution neuron network architectures. Authors measured only recognition time. Four architectures were applied in the experiment: AlexNet, AlexNet Separated, MobileNetV1 and MobileNetV2. Models were trained using Fruits360 dataset. The Android mobile application was developed to measure latency on mobile devices. The smallest latency authors obtained using AlexNet Separable model, but the smallest size was provided by MobileNetV2.
Bayesian inference and prediction for mean-mixtures of normal distributions

We study frequentist risk properties of predictive density estimators for mean mixtures of multivariate normal distributions, involving an unknown location parameter $\theta \in \mathbb{R}^d$, and which include multivariate skew normal distributions. We provide explicit representations for Bayesian posterior and predictive densities, including the benchmark minimum risk equivariant (MRE) density, which is minimax and generalized Bayes with respect to an improper uniform density for $\theta$. For four dimensions or more, we obtain Bayesian densities that improve uniformly on the MRE density under Kullback-Leibler loss. We also provide plug-in type improvements, investigate implications for certain type of parametric restrictions on $\theta$, and illustrate and comment the findings based on numerical evaluations.
LSU Digital Commons LSU Digital Commons Response of liver metabolic pathways to ketogenic diet and Response of liver metabolic pathways to ketogenic diet and exercise are not additive exercise are not additive

Response of Liver Metabolic Pathways to Ketogenic Diet andExercise AreNot Med. Sci. , 52, 1, pp. 37 – 48, 2020. Purpose: Studiessuggest ketogenic diets (KD) produce favorable outcomes (health and exercise performance); however, most rodent studies have used a low-protein KD, which does not reflect the normal-tohigh-proteinKDusedbyhumans.Liverhasanimportantroleinketoadaptationduetoitsinvolvementingluconeogenesisandketogenesis. This study was designed to test the hypothesis that exercise training (ExTr) while consuming a normal-protein KD (NPKD) would induce additive/ synergistic responses in liver metabolic pathways. Methods: Lean, healthy male C57BL/6J mice were fed a low-fat control diet (15.9% kcal protein, 11.9%kcalfat,72.2%kcalcarbohydrate)orcarbohydrate-deficientNPKD(16.1%protein,83.9%kcalfat)for6wk.After3wkonthediet,halfwere subjectedto3-wktreadmillExTr(5d·wk − 1 ,60min·d − 1 ,moderate-vigorousintensity). Uponconclusion,metabolicandendocrineoutcomesrelatedto substratemetabolismweretestedinliverandpancreas. Results: NPKD-fedmicehadhighercirculating β -hydroxybutyrateandmaintainedglucoseat restandduringexercise.LiverofNPKD-fedmicehadlowerpyruvateutilizationandgreaterketogenicpotentialasevidencedbyhigheroxidativerates to catabolize lipids (mitochondrial and peroxisomal) and ketogenic amino acids (leucine). ExTr had higher expression of the gluconeogenic gene, Pck1 , but lower hepatic glycogen, pyruvate oxidation, incomplete fat oxidation, and total pancreas area. Interaction effects between the NPKD and ExTr were observed for intrahepatic triglycerides, as well as genes involved in gluconeogenesis, ketogenesis, mitochondrial fat oxidation, and peroxisomal markers; however, none were additive/synergistic. Rather, in each instance the interaction effects showed the NPKD and ExTr opposed each other. Conclusions: An NPKD and an ExTr independently induce shifts in hepatic metabolic pathways, but changes do not seem to be additive/ synergisticinhealthymice.
Possibilities of Heat Transfer Augmentation in Heat Exchangers with Minichannels for Marine Applications

Abstract In the paper, new trends in the development of microchannel heat exchangers are presented. The exchangers developed in this way can be applied in marine industry. Main attention is focused on heat exchanger design with reduced size of passages, namely based on microchannels. In authors′ opinion, future development of high power heat exchangers will be based on networks of micro heat exchangers.
Structure/activity relationships of (M)ANT-and TNP-nucleotides for inhibition of rat soluble guanylyl cyclase

Soluble guanylyl cyclase (sGC) plays an important role in cardiovascular function and catalyzes formation of cGMP. sGC is activated by nitric oxide and allosteric stimulators and activators. However, despite its therapeutic relevance, the regulatory mechanisms of sGC are still incompletely understood. A major reason for this situation is that no crystal structures of active sGC have been resolved so far. An important step towards this goal is the identification of high-affinity ligands that stabilize a sGC conformation resembling the active, "fully closed" state. Therefore, we examined inhibition of rat sGC α 1 β 1 by 38 purine and pyrimidine nucleotides with 2,4,6,-trinitrophenyl- and (N-methyl)anthraniloyl substitutions at the ribosyl moiety and compared the data with those for the structurally related membranous ACs (mACs) 1, 2 and 5 and the purified mAC catalytic subunits VC1:IIC2. 2’,3’- O-(2,4,6-Trinitrophenyl)-guanosine 5’-triphosphate (TNP-GTP) was the most potent sGC α 1 β 1 inhibitor (K i , 10.7 nM), followed by 2’-O-(N-methylanthraniloyl)-3’-deoxy-adenosine 5’-triphosphate (2’-MANT-3’-dATP) (K i , 16.7 nM). Docking studies on a sGC α cat/sGC β cat model derived from the inactive heterodimeric crystal structure of the catalytic domains point to similar interactions of MANT-and TNP-nucleotides with sGC α 1 β 1 and mAC VC1:IIC2. Reasonable binding modes of 2’-MANT-3’-dATP and bis-(M)ANT-nucleotides at sGC α 1 β 1 require a 3'-endo ribosyl conformation (vs. 3’-exo in 3’-MANT-2’-dATP). Overall, inhibitory potencies of nucleotides at sGC α 1 β 1 vs. mACs 1, 2 and 5 correlated poorly. Collectively, we identified highly potent sGC α 1 β 1 inhibitors that may be useful for future crystallographic and fluorescence spectroscopy studies. Moreover, it may become possible to develop mAC inhibitors with selectivity relative to sGC
Surrogate-Assisted Evolutionary Algorithms for Wind Farm Layout Optimisation Problem

Due to the increasing need for computationally expensive optimisation in many real-world applications, surrogate-assisted evolutionary algorithms have attracted growing attention. In the literature, surrogate-assisted evolutionary approaches have been successful in highly computational expensive optimisation problems. However, surrogates have not been used with the Wind Farm Layout Optimisation Problem (WFLOP) before. In this work, an evolutionary approach using surrogate modelling techniques to reduce the computational cost of the WFLOP is studied. The WFLOP mainly focuses on finding the optimal geographical placement of wind turbines within a wind farm in order to maximise power generation. But evaluating wind farm layout is very computationally expensive. The purpose of using surrogates is to approximate the real evaluation function of an evolutionary algorithm, but the surrogates can be computed more efficiently. The aim of this study is try to discover whether the surrogate-assisted evolutionary approach is effective on the WFLOP or not. An analytical wake model from the literture is used to calculate the velocity deficits in the downstream generated by individual turbines. A set of initial offline experiments was conducted based on a dataset of wind farm layouts sampled from the space of all layouts, using biased random walk. These experiments were designed to discover which features lead to construction of an accurate surrogate model. According to the results of these experiments, polar coordinates (sorted according to distance) as features are selected for learning. A multilayer per-
Major depressive disorder detection in polytechnic college students

Over 322 million people worldwide are affected by depression, the leading cause of disability. Major depressive disorder (MDD) is the most frequent mental disorder and contributes significantly to the global disease burden. Current depression diagnoses, on the other hand, are beset by issues such as patient denial, clinical experience, and self-report bias. Early detection of depression can assist in lessening or even eliminating its detrimental effects. To help the conventional diagnostic approaches in psychiatry, there has been much research into automated depression prediction in recent years. Automated depression identification based on machine learning techniques can help disorder analysts diagnose depression more effectively. The literature on depression has proven that the acoustic features of a depressed individual vary from a normal individual. This paper aims to identify the minimal acoustic features that can be used to detect depression accurately and propose a majority voting classifier for detecting depression (MVCDD). MVCDD is designed with the base classifiers, including Random Forest Classifier (RFC), Support Vector Classifier (SVC), and Logistic Regression (LR). The experiments are performed on the data collected from the students of Government Polytechnic, Masabtank, Hyderabad, India.
Servant Leadership in Indonesia Asian Games 2018 Organizing Committee : Its Impact on Organizational Learning and Performance

: Asian Games 2018 has become the biggest sport event Indonesia ever hosted in years. Indonesia Asian Games 2018 Organizing Committee (INASGOC) as the organizer Asian Games 2018 was fully responsible and plays a key role in the success of this event. Therefore, the emergence of an effective leader is important to ensure its performance and servant leadership is found to have strong impact on organization learning and performance. This study aims to examine the influence of servant leadership on organizational performance with organizational learning as the mediator in INASGOC. Data were collected by using survey method with questionnaire distributed to 150 INASGOC employees working for the core functions. The hypothesis was tested using multiple regressions. The result shows that Servant Leadership has a positive impact on Organizational performance, which is fully mediated by organizational learning. This study proves that organizational learning among INASGOC employees has a significant role to successfully held Asian Games 2018 event.
Checking the Attitude of Faculty Members in the Application of Modern Educational Technologies and Educational Motivation of Postgraduate Students

This research attempts to present the attitude of faculty members of university who are using this system. So the main research question is checking the attitude of faculty members in the application of modern educational technologies and educational motivation of postgraduate students in the Islamic Azad University in west Guilan. The present research's methodology is consisted of the sectional and correlation method, the field data-collection method and data gathering tools. Population of this study includes faculty members of Islamic Azad University with higher education in Astara, Anzali and Talesh, with the sum of 152 and the sample size was estimated as 109 people. The results of data analysis through SPSS software and the Pearson's correlation test by descriptive and inferential methods, indicates that the hypothesis is verified. That means the attitude of faculty members in the application of modern educational technologies, with the role of mediation in reducing training costs, saving time, learning opportunities academic success, and instant access to information and resources are effective on the postgraduate students' motivation.
Crowd Textures: From Sensing Proximity to Understanding Crowd Behavior

Many of our social behaviors and interactions are characterized by a spatio-temporal nature. When we mingle, when we interact with some objects or appliances, when we share an office or a space with colleagues and family, when we queue on the way to a train, we generate a network of proximity relationships between us and the objects and people around. We call this network of proximity relationships the texture of a crowd.
Kupriianova L

In the following article we have presented main risk factors of the development of the Diabetes Mellitus of the I type, as well as modern statistical data towards its correlation in a structure of the disease. We have revealed main markers of the disease, connected with the HLA system. We have also considered leading links in the pathogenesis of immunodeficiency development in case of patients with the Diabetes Mellitus of the I type relatively to the duration of the disease, presence of vascular complications as well as number of insulin units per day. We have provided clear criteria towards changes in the T-lymphocytes populations, what is prescribing changes in the helper-suppressor ratio. In addition, we have postulated that the autoimmune disorders, which are typical for the Diabetes Mellitus of the I type (DM of the I type) are leading to the increase in a number of apoptotically alteredd forms of Tlymphocytes, what is contributing to the deeping of changes in the immune system. Authors have studied main features of the interleukin-producing activity in case of patients with the
Research on basic principle and calibration experiment of fiber bragg grating sensor

Fiber bragg grating has the advantages of simple structure, light weight, small volume, low energy consumption, high sensitivity and measurement accuracy, and is widely used in the field of structural health monitoring. the structure and basic principle of fiber bragg grating sensor are introduced. the change of temperature, stress and other parameters will lead to the change of reflection center wavelength. The strain and temperature sensitivity coefficients of Fiber Bragg Grating sensors with different wavelengths are obtained. The fiber Bragg grating strain sensor is developed, and the calibration experiment of the sensor is carried out. The loading equipment is the loading tester. The linearity of the Fiber Bragg Grating sensor is good, and it has a good prospect of engineering civil application.
Adaptive H-Matrix Computations in Linear Elasticity

This article deals with the adaptive and approximative computation of the Lamé equations. The equations of linear elasticity are considered as boundary integral equations and solved in the setting of the boundary element method (BEM). Using BEM, one is faced with the solution of a system of equations with a fully populated system matrix, which is in general very costly. Some adaptive algorithms based on hierarchical matrices and the adaptive cross approximation are proposed. At ﬁrst, an adaptive matrix-vector multiplication scheme is introduced for the eﬃcient treatment of multiplying discretizations with given data. The strategy, to reach this aim, is to use error estimators and techniques known from adaptivity. The case of approximating the system matrix appearing in the linear system of equations with this new type of adaptivity is also discussed.
Investigating the Role and Interplay of Narrations and Animations in Data Videos

Combining data visualizations, animations, and audio narrations, data videos can increase viewer engagement and effectively communicate data stories. Due to their increasing popularity, data videos have gained growing attention from the visualization research community. However, recent research on data videos has focused on animations, lacking an understanding of narrations. In this work, we study how data videos use narrations and animations to convey information effectively. We conduct a qualitative analysis on 426 clips with visualizations extracted from 60 data videos collected from a variety of media outlets, covering a diverse array of topics. We manually label 816 sentences with 1226 semantic labels and record the composition of 2553 animations through an open coding process. We also analyze how narrations and animations coordinate with each other by assigning links between semantic labels and animations. With 937 (76.4%) semantic labels and 2503 (98.0%) animations linked, we identify four types of narration‐animation relationships in the collected clips. Drawing from the findings, we discuss study implications and future research opportunities of data videos.
Influence of the N-terminus on the Biophysical Properties and Pharmacology of TREK1 Potassium Channels By

TREK1 potassium channels are members of the two pore domain (K2P) potassium channel family and contribute to background potassium conductances in many cell types where their activity can be regulated by a variety of physiological and pharmacological mediators. Fenamates such as FFA, MFA, NFA and diclofenac and the related experimental drug, BL-1249 enhance the activity of TREK1 currents and we show that BL-1249 is the most potent of these compounds. Alternative translation initiation produces a shorter, N-terminus truncated form of TREK1 with a much reduced open probability and a proposed increased permeability to sodium compared to the longer form. We show that both forms of TREK1 can be activated by fenamates and that a number of mutations which affect TREK1 channel gating occlude the action of fenamates but only in the longer form of TREK1. Furthermore, fenamates produce a marked enhancement of current through the shorter, truncated form of TREK1 and reveal a K + -selective channel, like the long form. These results provide insight into the mechanism of TREK1 channel activation by fenamates and, given the role of TREK1 channels in pain, they suggest a novel analgesic mechanism for these compounds.
S ENSORY -M ARKETING -E VALUATION OF E-C OMMERCE W EBSITES WITH A RTIFICIAL I NTELLIGENCE

Multisensory consumer engagement on e-commerce websites is technically limited to visual, acoustic, and written elements. Consumers communicate, buy, and share products and services via digital environments in which sensory information is limited. To improve consumers' online sensory experience, media types and the content need to be quantitatively assessed and adapted. This project aims to develop a quantitative model, an Online Sensory Marketing Index (OSMI), which assesses e-commerce websites in multisensory communication quality. The OSMI will be supported by an automatic procedure that is based on artificial intelligence. Content of texts, images, and videos is evaluated by natural language processing (NLP), natural language generation (NLG) as well as automatic machine learning (AutoML) procedures. Multiple e-commerce websites from various industries are examined.
Measuring testosterone: the power of a method on steroids

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