Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALYSIS OF COMPANY CHARACTERISTICS AND OWNERSHIP STRUCTURE OF DIVIDEND POLICY IN INDONESIA WITH FREE CASH FLOW AS MODERATING VARIABLE

This study examines the effect of ownership structure and company characteristics on dividend policy in companies listed on the Indonesia Stock Exchange with an observation period from 2015-2020. This study also interacts with the Free Cash Flow (FCF) variable with other company characteristic variables. The population in this research is all companies that pay dividends. Sampling method using purposive sampling. The variables used to test the dividend policy are managerial ownership, institutional ownership, profitability, leverage, investment opportunity set (IOS) and free cash flows (FCF). Processing and analysis of data using panel data regression with the help of E-Views software. In selecting the model, the Chow and Housman tests were first carried out. After that, the right model will be obtained to provide solutions to the problems in this study. The results of this study found that before the MRA test was carried out, the variables that significantly influenced dividend policy were Managerial Ownership and Free Cash Flow, while the Leverage, Institutional Ownership and IOS variables had no significant effect. After testing the variable MRA that is able to moderate the influence on dividend policy, namely Leverage peroxided by DER. This means that debt has no impact on dividend policy as long as there is enough FCF available to meet debt interest. While other variables are not significantly moderated by FCF.
Three- and Four-Dimensional Variational Assimilation with a General Circulation Model of the Tropical Pacific Ocean. Part II: Physical Validation

Abstract Three- and four-dimensional variational assimilation (3DVAR and 4DVAR) systems have been developed for the Ocean Parallelise (OPA) ocean general circulation model of the Laboratoire d'Oceanographie Dynamique et de Climatologie. They have been applied to a tropical Pacific version of OPA and cycled over the period 1993–98 using in situ temperature observations from the Global Temperature and Salinity Pilot Programme. The assimilation system is described in detail in Part I of this paper. In this paper, an evaluation of the physical properties of the analyses is undertaken. Experiments performed with a univariate optimal interpolation (OI) scheme give similar results to those obtained with the univariate 3DVAR and are thus not discussed in detail. For the 3DVAR and 4DVAR, it is shown that both the mean state and interannual variability of the thermal field are improved by the assimilation. The fit to the assimilated data in 4DVAR is also very good at timescales comparable to or shorter than the 30-.
Experiments in nearly homogeneous turbulent shear flow with a uniform mean temperature gradient. Part 2. The fine structure

Previous measurements in nearly homogeneous sheared turbulence with a uniform mean temperature gradient are here supplemented with data on the fine structure of the velocity and temperature fluctuation fields. The statistics of signal derivatives and of band-passed signals show that neither field is locally isotropic in the spectral range covered, possibly because of the insufficiently large turbulent Reynolds and Péclet numbers. Observed skewnesses of both velocity and temperature derivatives are explained qualitatively with the use of a kind of ‘mixing-length’ model. The flatness factors of the derivatives and of band-passed, high-frequency signals indicate appreciable departures from normality, consistent with the spatially ‘spotty’ fine structure. The temperature flatnesses are a bit larger than those of the streamwise velocity. The homogeneous shear flow data are compatible with measurements in turbulent boundary layers at comparable RΛ and PΛθ.
Wide-angle impedance matching of a planar array antenna by a dielectric sheet

For wide-angle scanning array antennas, the magnitude of the reflection changes substantially with scan angle and wave polarization. Conventional matching techniques in the individual element feed lines cannot compensate for these changes. There is a method of wide-angle impedance matching (WAIM) which utilizes a thin, high- k , dielectric sheet spaced in front of the array. It is capable of equalizing the reflection coefficient for E and H polarization at any specified scan angle, or for any angle in the E and H scan planes. This technique is applied to an array having element aperture windows flush with a metal face. It is adapted for the procedure of matching in a waveguide simulation of an infinite array.
Antibiotics in Dentistry: A Narrative Review of the Evidence beyond the Myth

Antibiotics have undoubtedly revolutionized medicine and the health and survival of patients with life-threatening infections, being nonetheless free from potential adverse effects, and the risk of intestinal dysbiosis, antimicrobial resistance, and the resulting consequences for the patient’s health and the public purse. The present study narratively reviewed the epidemiological data on worldwide antibiotic consumption and administration in dental practice, patients’ adherence to prescriptions, the antimicrobial resistance phenomenon in dentistry, and the evidence supporting and recommending appropriate antibiotic use in dental care. Eligible systematic reviews and original studies in humans published in the English language from January 2000 to 26 January 2023 were considered. A total of 78 studies, 47 on the epidemiology of antibiotic use and prescription in dentistry, 6 on antibiotic therapy in dentistry, 12 on antibiotic prophylaxis in dentistry, 0 on adherence of dental patients to antibiotic prescription, and 13 on antimicrobial resistance in dentistry, were presently considered. Retrieved evidence revealed that antibiotics are frequently overused and misused in dental practice, dental patients frequently do not adhere to prescriptions, and antimicrobial resistance in dentistry is a still rising phenomenon also secondary to improper oral antiseptics use. The present findings highlighted the need to establish more evidence-based and accurate antibiotic prescriptions to sensitize dentists and dental patients to minimize and rationalize the use of antibiotics only when it is indicated and necessary, improve patients’ adherence, and enhance knowledge and awareness of the antimicrobial resistance in dentistry.
Bioprinted Scaffold Remodels the Neuromodulatory Microenvironment for Enhancing Bone Regeneration

Herein, a 3D bioprinted scaffold is proposed, containing a calcitonin gene‐related peptide (CGRP) and the β‐adrenergic receptor blocker propranolol (PRN) as a new method to achieve effective repair of bone defects. By leveraging the neuromodulation mechanism of bone regeneration, CGRP and PRN loaded mesoporous silica nanoparticles are added into a hybrid bio‐ink, which initially contains gelatin methacrylate, Poly (ethylene glycol) diacrylate and bone marrow mesenchymal stem cells (BMSCs). Subsequently, the optimized bio‐ink is used for 3D bioprinting to create a composite scaffold with a pre‐designed micro‐nano hierarchical structure. The migration and tube formation of human umbilical vein endothelial cells (HUVECs) can be promoted by the scaffold, which is beneficial to the formation of a new capillary network during the bone repair process. With the release of CGRP from the scaffold, the secretion of neuropeptides by sensory nerves is simulated. Meanwhile, the release of PRN can inhibit the binding process of catecholamine to β‐adrenergic receptor, co‐promoting the osteogenic differentiation of BMSCs with CGRP and silicon ions, which will effectively enhance bone repair of a critical‐sized cranial defect in a rat model. In conclusion, this study provides a promising strategy for bone defect repair by understanding the neuromodulatory mechanisms during bone regeneration.
Shock-Particle-Interaction Study with a Hyperbolic Two-Fluid Model

A hyperbolic two-fluid model for high-speed, monodisperse, gas–particle flow is employed to study the interaction of a thin, moderately dense (volume fraction α p < 0 . 2) particle curtain impacted by an incident shock with Mach number M s . Mimicking the experimental setup, the numerical setup consists of a one-dimensional shock tube with a thin particle curtain in the driven section. This allows to validate the two-fluid model against recent experimental campaigns exploring a wide range of particle diameters, material densities, volume fractions, curtain widths and shock speeds. In general, the two-fluid model allows to reproduce the experimental data where the highest discrepancy is obtained in the configurations with the smallest M s . However, the main goal of this study is to explore the closures used in the two-fluid model. Attention is drawn to the particle-Mach-number ( M p ) dependence of the drag and added-mass coe ffi cients, which have not yet been explored extensively in the literature. Also, the two-fluid model based on kinetic theory includes a particle pressure accounting for particle–fluid–particle (pfp) interactions. Thus, a parametric study is presented to evaluate the impact of several model parameters such as the drag coe ffi cient, the added-mass coe ffi cient, and the magnitude of the pfp pressure. The complete drag model accounting for particle Reynolds number Re p , M p and α p is more accurate than previous drag models depending only on Re p and α p . Due the high particle-to-gas density ratio, the added-mass model has only a minor impact on the results. On the other hand, the magnitude of the pfp pressure has a real impact on the spread of the curtain due to the high slip velocity.
Autocorrelation and regularization in digital images. II. Simple image models

For pt.I see ibid., vol.26, no.4, p.463-73, July 1988. The variogram function used in geostatistical analysis is a useful statistic in the analysis of remotely sensed images. Using the results derived in Part I, the basic second-order, or covariance, properties of scenes modeled by simple disks of varying size and spacing after imaging into disk-shaped pixels are analyzed to explore the relationship between the image variograms and discrete object scene structure. The models provide insight into the nature of real images of the Earth's surface and the tools for a complete analysis of the more complex case of three-dimensional illuminated discrete-object images. >
Use of Mindray MC-80 digital morphology analyzer’s estimated platelet counts as adjunct to automated hematology analyzer

Introduction: Automated hematology analyzer platelet counts can be performed using either the impedance (PLT-I) method or the fluorescent nucleic acid staining (PLT-O) method. Estimated platelet counts (PLT-E) can be calculated using a digital morphology analyzer by evaluating the peripheral blood smear. Our objective was to compare the platelet values detected on a Mindray BC-6200 device to the PLT-E count on a Mindray MC-80 digital morphology analyzer. Material and methods: Complete blood cell count findings between 1 September and 11 October, 2022 were obtained from the data storage units of the devices. We selected two groups of blood: a first group with thrombocytopenia (n = 49) and a second group that gave an aggregation and/or platelet clumping flag (n = 32). The results of 190 consecutive patients with normal platelet counts, and no aggregation flag, were evaluated as a control group. Pearson’s correlation coefficients, Bland-Altman plots, and paired t-tests were calculated. Results: The plot of the difference between PLT-I and PLT-O counts showed that the mean difference was –43.6 (95%: –17.2 to –69.9); when we compared PLT-O to PLT-E, bias was
Umbilicity of (Space-Like) Submanifolds of Pseudo-Riemannian Space Forms

We study () ν − umbilic (space-like) submanifolds of pseudo-Riemannian space forms, then define totally semi-umbilic space-like submanifold of pseudo Euclidean space and relate this notion to umbilicity. Finally we give characterization of total semi-umbilicity for space-like submanifolds contained in pseudo sphere or pseudo hyperbolic space or the light cone.A pseudo-Riemannian submanifold M in M (a pseudo Riemannian manifold) is called ν -umbilic if the shape operator of M along ( ) M ν ⊥ ∈ X is = TM Si d λ for some ( ) CM λ ∞ ∈ . A
Vitamin B12 Deficiency and Peripheral Neuropathy in patients with Type 2 Diabetes Mellitus Treated with Metformin. An integrative review

Background/Purpose: Type 2 diabetes mellitus (T2DM) is a worldwide pathology with several complications, and 50% of patients with T2DM develop peripheral neuropathy (PN) in the long term. The present study aimed to review the literature on the association between PN and vitamin B12 deficiency in patients with T2DM treated with metformin. Materials and methods: A literature review was carried out in the PubMed Central, Cochrane, Scielo, Scopus and Embase databases, from 2015 to 2021. We found 755 studies, of which 16 were included. Results: The serum level of vitamin B12 was lower in individuals with at least one neurological symptom. Treatment with metformin was associated with reduced serum vitamin B12 levels, and its use was defined as a probable cause of PN due to reduced vitamin B12. Studies that performed supplementation with methylcobalamin demonstrated significant improvement in neuropathic symptoms. Vitamin B12 supplementation therapy for diabetic patients undergoing metformin treatment has been suggested. Conclusion: Deficiency of vitamin B12 associated to metformin can be considered a risk factor for PN. Periodically evaluation of serum levels of vitamin B12 is recommended for patients on metformin treatment.
Does Task-Irrelevant Brightness Modulation Affect Auditory Contrast Processing? Exploring the Interplay Between Temporal Synchrony and Stimulus Salience

Stimulus factors such as timing, spatial location, and stimulus effectiveness affect whether and how information across the senses is integrated. Extending recent work highlighting interactions between stimulus factors, here we investigated the influence of visual information on auditory processing, complementing previous studies on the influence of auditory information on visual processing. We hypothesized that task-irrelevant and spatially non-informative visual information would enhance auditory contrast processing, when visual information was at an optimal salience level and changed synchronously with the sound. We asked human observers to indicate the location of an amplitude-modulated white-noise sound, while its loudness against a constant white-noise background varied across trials. To test for the influence of task-irrelevant visual information, we modulated screen brightness smoothly (Experiment 1) or transiently (Experiment 2) in phase or out of phase with the amplitude modulation of the target sound. In addition, to test for the interaction between temporal synchrony and stimulus salience, maximum brightness varied systematically across trials. Auditory contrast thresholds were compared across conditions. Results showed that task-irrelevant visual information did not alter auditory contrast thresholds regardless of the nature of modulation of brightness, contrary to our expectations. Nonetheless, task-irrelevant visual information modulated in phase with the target sound reduced auditory contrast thresholds if we accounted for individual differences in the optimal salience required for the largest multisensory effects. Our results are discussed in light of several stimulus factors that might be critical in modulating multisensory enhancement.
Picking a design, or a design team? The role of reflective practice and team learning in architecture competitions

Abstract This paper examines the role of Reflective Practice and Team Learning when architecture teams pitch their proposals in a design competition. Pitching proposals is significant to architects because pitching designs in competitions is one of the ways architects procure jobs. Previous researchers used the principles of Reflective Practice to describe how teams design together. This study adds to those works by using the principles of Reflective Practice to describe how teams communicate their design to clients. Additionally, this case study introduces team learning concepts to describe how clients perceive design teams when pitching their proposal. In 2018, we observed six architecture teams pitch their design in an architecture competition, analysed the documents presented, and interviewed the jury. Results revealed that the winning team demonstrated the most Framing, Moving and Evaluating language in their pitch. They were also perceived to have demonstrated the most team learning behaviours amongst all the competitors.
During Water Stress, Fertility Modulated by ROS Scavengers Abundant in Arabidopsis Pistils

Hours after watering plants with 75 mM NaCl, the water potential of reproductive structures precipitously decreases. In flowers with mature gametes, this change in water potential did not alter the rate of fertilization but caused 37% of the fertilized ovules to abort. We hypothesize that the accumulation of reactive oxygen species (ROS) in ovules is an early physiological manifestation associated with seed failure. In this study, we characterize ROS scavengers that were differentially expressed in stressed ovules to determine whether any of these genes regulate ROS accumulation and/or associate with seed failure. Mutants in an iron-dependent superoxide dismutase (FSD2), ascorbate peroxidase (APX4), and three peroxidases (PER17, PER28, and PER29) were evaluated for changes in fertility. Fertility was unchanged in apx4 mutants, but the other mutants grown under normal conditions averaged a 140% increase in seed failure. In pistils, PER17 expression increases three-fold after stress, while the other genes decreased two-fold or more following stress; this change in expression accounts for differences in fertility between healthy and stressed conditions for different genotypes. In pistils, H2O2 levels rose in per mutants, but only in the triple mutant was there a significant increase, indicating that other ROS or their scavengers be involved in seed failure.
Modulation of the Endomembrane System by the Anticancer Natural Product Superstolide/ZJ-101

Marine natural products represent a unique source for clinically relevant drugs due to their vast molecular and mechanistic diversity. ZJ-101 is a structurally simplified analog of the marine natural product superstolide A, isolated from the New Caledonian sea sponge Neosiphonia Superstes. The mechanistic activity of the superstolides has until recently remained a mystery. Here, we have identified potent antiproliferative and antiadhesive effects of ZJ-101 on cancer cell lines. Furthermore, through dose–response transcriptomics, we found unique dysregulation of the endomembrane system by ZJ-101 including a selective inhibition of O-glycosylation via lectin and glycomics analysis. We applied this mechanism to a triple-negative breast cancer spheroid model and identified a potential for the reversal of 3D-induced chemoresistance, suggesting a potential for ZJ-101 as a synergistic therapeutic agent.
Black holes and the finite temperature gauge theory

Acknowledgement It was an enjoyable experience in TIFR, both in research and in other activities. In the course of my work, I came across many distinguished scientists from TIFR and also from other places. Among them, at first I like to thank my thesis advisor Prof. Spenta Wadia for his valuable guidance. I would also like to thank other faculty members from the TIFR string theory group including Avinash Dhar, Gautam Mandal, Sunil Mukhi, Sandip Trivedi for useful discussions and comments. A special thanks goes to Shiraz Minwalla, for many illuminating discussions. I would also like to thank Probir Roy, Sourendu Gupta and C.S. Unnikrishnan for the nice courses they have given. I thank string theory post docs for many useful discussions including Bobby, Azuma, Nori, Narayan, Kevin, Costias and Dumitru (HRI)). My thanks go to secretaries in the DTP office especially to Raju and Pawar. In the period of my PhD, I have visited Kias (South Korea), ICTP (Italy), CERN (Switzerland) and Hebrew University (Israel). I thank the people associated with these places for inviting me. I would especially like to thank Prof. Luis Alvarez-Gaume (CERN) for his kind hospitality. I thank my friends in TIFR, including the people in theory student room Piyali and others. I like to mention and specially thank Piyali for her sustained help and support. At the end I like to thank my family including my parents, sister, uncles, aunts and various cousins.
Developing Conversational Agent Using Deep Learning Techniques

: Recent advances in artiﬁcial intelligence and natural language processing have been widely used in recent years, and one of the best applications of these technologies is conversational agents. These agents are computer programs that can converse with users in natural languages. Developing conversational agents using artiﬁcial intelligence techniques is an exciting prospect in natural language processing. In this study, we built an intelligent conversational agent using deep learning techniques. We used a sequence-to-sequence model with encoder–decoder architecture. This encoder–decoder uses a recurrent neural network with long–short-term memory cells. The encoder was used to understand the user’s question, and the decoder was to provide the answer.
Personality Assessment Based on Electroencephalography Signals during Hazard Recognition

Hazard recognition assisted by human–machine collaboration (HMC) techniques can facilitate high productivity. Human–machine collaboration techniques promote safer working processes by reducing the interaction between humans and machines. Nevertheless, current HMC techniques acquire human characteristics through manual inputs to provide customized information, thereby increasing the need for an interactive interface. Herein, we propose an implicit electroencephalography (EEG)-based measurement system to automatically assess worker personalities, underpinning the development of human–machine collaboration techniques. Assuming that personality influences hazard recognition, we recorded the electroencephalography signals of construction workers and subsequently proposed a supervised machine-learning algorithm to extract multichannel event-related potentials to develop a model for personality assessment. The analyses showed that (1) the electroencephalography-assessed results had a strong correlation with the self-reported results; (2) the model achieved good external validity for hazard recognition-related personality and out-of-sample reliability; and (3) personality showed stronger engagement levels and correlations with task performance than work experience. Theoretically, this study demonstrates the feasibility of assessing worker characteristics using electroencephalography signals during hazard recognition. In practice, the personality assessment model can provide a parametric basis for intelligent devices in human–machine collaboration.
A Joint Test for Functional Form and Random Individual Effects

is the familiar Box and Cox (1964) transformation, which requires that yu be always positive. Xitk and Zits denote observations on independent variables with the distinction that the Xilk's are subject to transformation and the Ziu's are not. X may include variables such as years of full-time work experience and the number of weeks worked, provided these variables are positive. Z may include dummy variables such as union participation, marital status, geographical region, sex, and race. We assume, as is typically the case, that there is a constant term that is included in Z. The disturbances follow a one-way error component model, given by uit = /*, + vit, where /*,NID(O.ff^) denote the random individual (time invariant) effects and vit ~ NID(0, a}) denote the remainder effects. These error components are assumed independent of each other and among themselves. The Fuller and Battese (1974) transformation applied to (1) gives