Miracle-dz/UniFAR-FTUs huggingface dataset:
Demand for Indonesian Patchouli Oil Exports: the Panel Autoregressive Distributed Lag (Ardl) Approach

Purpose: This study aims to analyze the demand for oil exports and determine the short-term and long-term impact of patchouli oil price variables, per capita income of patchouli oil export destinations, and the real exchange rate on Indonesia's patchouli oil export demand. Theoretical framework: is supported by literature on demand of patchouli oil export Method/design/approach: This study employed panel ARDL regression (Autoregressive Distributed Lag) on data from 2006 - 2021 Results and conclusion: All variables significantly adversely affected the export demand over the long term but not the short term. Research implications: The Indonesian government is advised to carry out more intensive policies on the patchouli oil price variable to increase demand for patchouli oil exports in various countries so that the gap between world prices and export prices can be adjusted. It is also recommended that the central or regional government be able to establish various cooperations between countries so that world patchouli oil prices could remain stable, with the hope of increasing state revenues and demand for Indonesian patchouli oil exports. Originality/value: Indonesia is a country whose economy is supported by the export sector of agricultural commodities, one of which is patchouli oil exports. Because this sector greatly contributes to the national economy, it is important to analyze the determinants of demand for patchouli oil exports.
Designing optimal nanofocusing with a gradient hyperlens

Abstract We report the design of a high-throughput gradient hyperbolic lenslet built with real-life materials and capable of focusing a beam into a deep sub-wavelength spot of λ/23. This efficient design is achieved through high-order transformation optics and circular effective-medium theory (CEMT), which are used to engineer the radially varying anisotropic artificial material based on the thin alternating cylindrical metal and dielectric layers. The radial gradient of the effective anisotropic optical constants allows for matching the impedances at the input and output interfaces, drastically improving the throughput of the lenslet. However, it is the use of the zeroth-order CEMT that enables the practical realization of a gradient hyperlens with realistic materials. To illustrate the importance of using the CEMT versus the conventional planar effective-medium theory (PEMT) for cylindrical anisotropic systems, such as our hyperlens, both the CEMT and PEMT are adopted to design gradient hyperlenses with the same materials and order of elemental layers. The CEMT- and PEMT-based designs show similar performance if the number of metal-dielectric binary layers is sufficiently large (9+ pairs) and if the layers are sufficiently thin. However, for the manufacturable lenses with realistic numbers of layers (e.g. five pairs) and thicknesses, the performance of the CEMT design continues to be practical, whereas the PEMT-based design stops working altogether. The accurate design of transformation optics-based layered cylindrical devices enabled by CEMT allow for a new class of robustly manufacturable nanophotonic systems, even with relatively thick layers of real-life materials.
Debias random forest regression predictors

The random forest can reduce the variance of regression predictors through bagging while leaving the bias mostly unchanged. In general, the bias is not negligible and consequently bias correction is necessary. The default bias correction method implemented in the R package randomForest often works poorly. Several approaches have been developed which in general outperform the R default. However, little work has been done to com- prehensively evaluate the performance of these methods and thus guide users to select an appropriate method for bias correction. This paper fills this gap by providing an informa- tive ranking of these bias correction methods based on an extensive numerical study. We further offered practical suggestions on the application of the winner of these methods and suggested a visualization technique to help users decide when bias correction is needed. Journal of Statistical Research 2022, Vol. 56, No. 2, pp. 115-131
Time- and Concentration-Dependent Adverse Effects of Paclitaxel on Non-Neuronal Cells in Rat Primary Dorsal Root Ganglia

Paclitaxel is a chemotherapeutic agent used to treat a wide range of malignant tumors. Although it has anti-tumoral properties, paclitaxel also shows significant adverse effects on the peripheral nervous system, causing peripheral neuropathy. Paclitaxel has previously been shown to exert direct neurotoxic effects on primary DRG neurons. However, little is known about paclitaxel’s effects on non-neuronal DRG cells. They provide mechanical and metabolic support and influence neuronal signaling. In the present study, paclitaxel effects on primary DRG non-neuronal cells were analyzed and their concentration or/and time dependence investigated. DRGs of Wister rats (6–8 weeks old) were isolated, and non-neuronal cell populations were separated by the density gradient centrifugation method. Different concentrations of Paclitaxel (0.01 µM–10 µM) were tested on cell viability by MTT assay, cell death by lactate dehydrogenase (LDH) assay, and propidium iodide (PI) assay, as well as cell proliferation by Bromodeoxyuridine (BrdU) assay at 24 h, 48 h, and 72 h post-treatment. Furthermore, phenotypic effects have been investigated by using immunofluorescence techniques. Paclitaxel exhibited several toxicological effects on non-neuronal cells, including a reduction in cell viability, an increase in cell death, and an inhibition of cell proliferation. These effects were concentration- and time-dependent. Cellular and nuclear changes such as shrinkage, swelling of cell bodies, nuclear condensation, chromatin fragmentation, retraction, and a loss in processes were observed. Paclitaxel showed adverse effects on primary DRG non-neuronal cells, which might have adverse functional consequences on sensory neurons of the DRG, asking for consideration in the management of peripheral neuropathy.
Strengths-based Mindfulness: effects on mental health and well-being

Combining Mindfulness and character strengths involves living fully aware of our strengths and putting them into action for the common good. Several studies have found a positive effect on well-being, but the effect on mental health has not yet been described. The aim of this study is to test the effectiveness of an online program that combines Mindfulness with character strengths to reduce symptoms of depression, anxiety and stress, and increase satisfaction with life. For this purpose, a quasi-experimental study was carried out with a control group whose sample consisted of 103 adults with anxious-depressive symptomatology residing in Spain. The results show the capability of the program to reduce the levels of anxiety, depression and stress, as well as to increase the levels of satisfaction with life. It is concluded that Mindfulness and Strengths-based programs are valid alternatives to improve mental health and that they can be applied online, reaching more people and reducing costs. Keywords: Mindfulness, Character Strengths, Anxiety, Depression, Well-being
Analyzing the dependence of global cloud feedback on the spatial pattern of sea surface temperature change with a Green's function approach

The spatial pattern of sea surface temperature (SST) changes has a large impact on the magnitude of cloud feedback. In this study, we seek a basic understanding of the dependence of cloud feedback on the spatial pattern of warming. Idealized experiments are carried out with an AGCM to calculate the change in global mean cloud‐induced radiation anomalies (ΔRcloud) in response to imposed surface warming/cooling in 74 individual localized oceanic “patches”. Then the cloud feedback in response to a specific warming pattern can be approximated as the superposition of global cloud feedback in response to a temperature change in each region, weighted by the magnitude of the local temperature changes. When there is a warming in the tropical subsidence or extratropical regions, the local decrease of LCC results in a positive change in Rcloud. Conversely, warming in tropical ascent regions increases the free‐tropospheric temperature throughout the tropics, thereby enhancing the inversion strength over remote regions and inducing positive global low‐cloud cover (LCC) anomalies and negative Rcloud anomalies. The Green's function approach performs reasonably well in predicting the response of global mean ΔLCC and net ΔRcloud, but poorly for shortwave and longwave components of ΔRcloud due to its ineffectiveness in predicting middle and high cloud cover changes. The approach successfully captures the change of cloud feedback in response to time‐evolving CO2‐induced warming and captures the interannual variations in ΔRcloud observed by CERES. The results highlight important nonlocal influences of SST changes on cloud feedback.
Targeted and Immunotherapy Approaches in HER2-Positive Gastric and Gastroesophageal Junction Adenocarcinoma: A New Era

HER2-targeted therapy with the HER2 monoclonal antibody trastuzumab has achieved impressive outcomes in the first-line settings of patients with advanced gastric and gastroesophageal junction (GEJ) adenocarcinoma overexpressing HER2. However, considering that a substantial proportion of those patients eventually relapses, as well as the relatively limited performance of those agents in second-line settings, a deeper understanding of resistance mechanisms is needed for enhanced guidance for patients’ therapeutic selection in the second-line setting and beyond. In this review, we highlight trastuzumab’s (HER2-targeting agent) performance in patients with gastric or GEJ cancer, with insight into mechanisms of resistance. We also discuss the new integration of PD-1 inhibitor pembrolizumab into the trastuzumab for gastric cancer frontline regimen, the latest addition of trastuzumab deruxtecan to the treatment armamentarium, and the potential of pipeline HER2-targeting approaches and combinations in patients with gastric or GEJ adenocarcinoma.
MHD Simulation of Laboratory Jets

We performed numerical MHD simulation of the laboratory experiment for creating plasma jets on a NEODIM laser installation. In this experiment, the plasma ejection is formed as a result of the action of a powerful laser on the target. To describe these processes and simulate plasma flow, we chose a numerical method, boundary and initial conditions. We investigated the picture of the flow and compared it with the experiment. We found the distribution of the density of matter at various distances from the target and at different time, and investigated the possible structures of matter on the surface of the detector.
Polynomial models in finance

This thesis presents new flexible dynamic stochastic models for the evolution of market prices and new methods for the valuation of derivatives. These models and methods build on the recently characterized class of polynomial jump-diffusion processes for which the conditional moments are analytic. The first half of this thesis is concerned with modelling the fluctuations in the volatility of stock prices, and with the valuation of options on the stock. A new stochastic volatility model for which the squared volatility follows a Jacobi process is presented in the first chapter. The stock price volatility is allowed to continuously fluctuate between a lower and an upper bound, and option prices have closed-form series representations when their payoff functions depend on the stock price at finitely many dates. Truncating these series at some finite order entails accurate option price approximations. This method builds on the series expansion of the ratio between the log price density and an auxiliary density, with respect to an orthonormal basis of polynomials in a weighted Lebesgue space. When the payoff functions can be similarly expanded, the method is particularly efficient computationally. In the second chapter, more flexible choices of weighted spaces are studied in order to obtain new series representations for option prices with faster convergence rates. The option price approximation method can then be applied to various stochastic volatility models. The second half of this thesis is concerned with modelling the default times of firms, and with the pricing of credit risk securities. A new class of credit risk models in which the firm default probability is linear in the factors is presented in the third chapter. The prices of defaultable bonds and credit default swaps have explicit linear-rational expressions in the factors. A polynomial model with compact support and bounded default intensities is developed. This property is exploited to approximate credit derivatives prices by interpolating their payoff functions with polynomials. In the fourth chapter, the joint term structure of default probabilities is flexibly modelled using factor copulas. A generic static framework is developed in which the prices of high dimensional and complex credit securities can be efficiently and exactly computed. Dynamic credit risk models with significant default dependence can in turn be constructed by combining polynomial factor copulas and linear credit risk models.
Patterns of Breastfeeding Practices among Mothers in Two Urban Cities in Vietnam

INTRODUCTION: Breastfeeding is associated with lower risk of child morbidity and mortality and foster overall child development. However, suboptimal breastfeeding practices have been reported in many countries. This study aims to describe patterns of breastfeeding from birth to 24 months in Vietnam and examine factors associated with the maintenance of breastfeeding at 12 months. MATERIALS AND METHODS: 573 mothers whose infants aged from 12 to 24 months in a multi-centre cross-sectional study were recruited. RESULTS: The prevalence of initiation of breastfeeding within the first hour post-partum was 52.9%, between 1 to 24 hours was 21.9%, after the 24 hours was 25.2% and none not initiated by the 7th day after birth. The prevalence of delayed initiation of breastfeeding was significantly higher in caesarean section than in vaginal births (p=0.0001). Prevalence of infants ever breastfed was 100%; exclusively breastfed at 6 months was 19.7%, continued breastfeeding at 12 months was 92.5%, and continued breastfeeding at 20-24 months was 43.5%. There were 16.4% of mothers had breastfeeding problems. Correctly describing the recommended duration of exclusive breastfeeding and not using a bottle to give expressed milk to the infants were factors associated with the higher prevalence of breastfeeding maintenance for 12 months. CONCLUSION: Early initiation of breastfeeding and exclusive breastfeeding prevalence at 6 months in our study earn rating of “good” and “fair” respectively according to World Health Organization (WHO) recommendation. Improving mothers’ knowledge of exclusive breastfeeding recommendations and educating about breast milk expression may improve the prevalence of breastfeeding maintenance at 12 months.
Insights Into Particle Transport Obtained from Solar Energetic Particle Anisotropies

Solar energetic particle (SEP) pitch-angle distributions are shaped by the competing effects of magnetic focusing and scattering as the particles travel through interplanetary space. Therefore, measurements of SEP anisotropies provide insight into particle transport and can probe interplanetary conditions at remote locations from the observer. The Low Energy Telescopes (LETs) onboard the twin STEREO spacecraft measure pitch-angle distributions for protons and heavier ions at energies of about 2-12 MeV/nucleon. Using these instruments, we have observed a wide variety of SEP anisotropies, such as bidirectional flows within interplanetary coronal mass ejections, sunward-flowing particles when the spacecraft was magnetically connected to the back side of a distant shock, and loss-cone distributions in which particles with large pitch angles magnetically mirror at an interplanetary field enhancement that is too weak to reflect particles with the smallest pitch angles. One of the more puzzling observations is unusual oscillations on a timescale of several minutes in the width of a beamed distribution at the onset of the very large 23 July 2012 SEP event. We report LET anisotropy observations at both STEREO spacecraft during the extreme event of 23 July 2012, in which a large range of anisotropies were observed at various times during the event, and discuss their implications for SEP transport.
Ultrafast and nanoscale diodes

Charge carrier transport across interfaces of dissimilar materials (including vacuum) is the essence of all electronic devices. Ultrafast charge transport across a nanometre length scale is of fundamental importance in the miniaturization of vacuum and plasma electronics. With the combination of recent advances in electronics, photonics and nanotechnology, these miniature devices may integrate with solid-state platforms, achieving superior performance. This paper reviews recent modelling efforts on quantum tunnelling, ultrafast electron emission and transport, and electrical contact resistance. Unsolved problems and challenges in these areas are addressed.
Automated Workflow for Evaluating Microwave and Multi-Modality Breast Images

The emergence and subsequent expansion of the field of medical microwave imaging has resulted in numerous approaches to image reconstruction. This includes microwave tomography, radar imaging, and more recently, multi-modality approaches. However, there is an absence of a standardized and widely accepted process that is proficient at extracting information from these images and employing this knowledge to conduct a thorough quantitative evaluation of images and regions within images. This shortcoming may interfere with a researcher's ability to make reliable and consistent inferences from experiments and to interpret results. Consequently, comparing the results of different research groups is difficult. This is becoming increasingly relevant due to the development of standardized test phantoms and the increase in clinical studies. To remedy this deficiency, an automated workflow has been developed with the objective to standardize the processing and analysis of images acquired from a range of modalities. Images are first segmented into regions dominated by a tissue type. Quantitative information extracted from these regions is used for analysis and by visualization tools for the qualitative interpretation of images. The effectiveness of the workflow is demonstrated with multiple examples that focus on quantifying changes to images due to enhancements of the reconstruction algorithm or perturbations of a parameter used by the reconstruction operator.
TRANSFORMATIONAL LEADERSHIP OF POLICE COMMISSIONED OFFICERS AND SERVICE ENGAGEMENT OF NON-COMMISSIONED PERSONNEL: THE MEDIATING ROLE OF PERSONAL ETHICS

The purpose of this research study is to determine the service engagement of police personnel as a function of the transformation leadership of commissioned officers and mediated by their personal ethics. The researcher surveyed 348 Police Officers, selected using a stratified technique. Data were gathered using standardized, adapted instruments. Data were analyzed and interpreted using Mean, Pearson Product Moment Correlation, Medgraph using Sobel z-test, and Path-analysis. The study findings revealed as follow: the personal ethics of police personnel, transformational leadership of commissioned officers and service engagement of police personnel obtained a very high level. A significant correlation between the transformational leadership of commissioned officers and the service engagement of police personnel was observed. There is also a significant correlation between the transformational leadership of commissioned officers and the personal ethics of police officers; and, as well as the personal ethics and service engagement of police personnel. The test of mediation revealed that personal ethics partial mediates the relationship between transformational leadership of police commissioned officers and service engagement of personnel: the mediating role of personal ethics. Article visualizations:
Still a preposition : The category of ko

This paper examines the particle ko in Niuean (Tongic subgroup). Across Polynesian languages, this particle has been variously analysed as a preposition, a copular preposition, a focus or topic complementizer, a pred morpheme, and a tense morpheme. The paper will detail nine uses of this particle in Niuean, and argue that the best categorial analysis is the traditional one, according to which ko is a preposition. Following Clark (1976), it is argued that ko is a default or expletive preposition, which appears in the left periphery of non-arguments. To account for the use of ko phrases as sentential predicates and focused phrases, it is posited that a ko phrase can be sister to a null light verb, and further, that ko can have an optional focus feature. The paper will conclude with an examination of a tenth ko-construction, the double-ko construction. This analysis allows for a unification of the ten functions of ko in Niuean, which, it is argued that other analyses are unable to achieve.
Constraints on models of scalar and vector leptoquarks decaying to a quark and a neutrino at 
s=13  TeV

The results of a previous search by the CMS Collaboration for squarks and gluinos are reinterpreted to constrain models of leptoquark (LQ) production. The search considers jets in association with a transverse momentum imbalance, using the M-T2 variable. The analysis uses proton-proton collision data at root s = 13 TeV, recorded with the CMS detector at the LHC in 2016 and corresponding to an integrated luminosity of 35.9 fb(-1). Leptoquark pair production is considered with LQ decays to a neutrino and a top, bottom, or light quark. This reinterpretation considers higher mass values than the original CMS search to constrain both scalar and vector LQs. Limits on the cross section for LQ pair production are derived at the 95% confidence level depending on the LQ decay mode. A vector LQ decaying with a 50% branching fraction to t nu, and 50% to b tau, has been proposed as part of an explanation of anomalous flavor physics results. In such a model, using only the decays to t nu, LQ masses below 1530 GeV are excluded assuming the Yang-Mills case with coupling kappa = 1, or 1115 GeV in the minimal coupling case kappa = 0, placing the most stringent constraint to date from pair production of vector LQs.