Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding the Inﬂuence of Product Recommendation and User Generated Content on Customer Loyalty of Beauty-Techs in Indonesia

Social Shopping Community (SSC) is an online shopping platform to search, share, recommend, rate, and buy products, including Beauty-Tech’s products. SSC increases customer loyalty through the profound factors: Online Product Recommendation (OPR), Online Product Brokering (OPB), and User Generated Content (UGC). Unfortunately, previous research was limited to observing one company’s SSC platform only, so it is unclear whether the factors that can increase customer loyalty through the SSC platform apply to other beauty-tech companies. Therefore, this study uses SEM-PLS to examine how OPR affects OPB and customer loyalty through UGC. The ﬁndings reveal that a high level of user-generated content (UGC) moderates the relationship between customer loyalty and decision-makingqualitysigniﬁcantly. TheOPR’senablerfactorthatsubstantiallyinﬂuences OPBisself-reference;meanwhile,informationoverloadistheinhibitorfactorthat hasamoredecisiveinﬂuence. TheresearchresultsaboveapplytovariousSSCplat-formsinIndonesiabecausetherearenosigniﬁcantstatisticaldifferencesbetween Indonesia’stopfourbeautytechstartupcompanies.
Poisoned Spring: The EU and Water Privatisation

Introduction 1 Drought and Deprivation 2 Flood 3 Conflict and Cooperation 4 It Never Rains But It Pours: Climate Change, Water Shortage, and Flood 5 The European Union Within its Borders: Why privatisation? The ideology behind the theft of public property 6 European Union Within Its Borders, Part 2: The Water Framework Directive 7 The European Union Beyond Its Borders 8 A Better Water Policy is Possible Bibliography Index
CamBridge: a bridge of camera aesthetic between virtual environment designers and players

The designer of the virtual environment have been trying for decades to provide the player with more enjoyable, comfortable and also informative user experiences, and yet still fail to ensure that the player follow the preset instructions and even implicit suggestions faithfully and naturally, due to the designer's invisibility during runtime, and the player's individual diversity and individual impromptu in manipulations. We believe that the camera is the mainly messenger for the designer and the player to communicate, and intend to build a bridge between them. By binding the designer's aesthetic ideas to the parameters of the camera's movement, we enable the player to roam in the virtual scene with the guidance from the designer. We also propose a navigation guiding language (NGL) to assist the binding and the guiding process. A user study is made to evaluate the performance of our method. Experiments and questionnaires have shown that our method can offer a more attentive and pleasing experience to the player with implicit guidance.
Statistica Sinica Preprint

: In spatial statistics, a common objective is to predict values of a spatial process at unobserved locations by exploiting spatial dependence. Kriging provides the best linear unbiased predictor using covariance functions, and is often associated with Gaussian processes. However, for nonlinear predictions for nonGaussian and categorical data, the Kriging prediction is no longer optimal, and the associated variance is often overly optimistic. Although deep neural networks (DNNs) are widely used for general classification and prediction, they have not been studied thoroughly for data with spatial dependence. In this work, we propose a novel DNN structure for spatial prediction, where we capture the spatial dependence by adding an embedding layer of spatial coordinates with basis functions. We show in theory and simulation studies that the proposed DeepKriging method has a direct link to Kriging in the Gaussian case, and has multiple advantages over Kriging for nonGaussian and nonstationary data. That is, it provides nonlinear predictions, and thus has smaller approximation errors.
First-line chemotherapy in patients with metastatic gastroenteropancreatic neuroendocrine carcinoma

Background and aim: To investigate the efficacy of platinum-based chemotherapy in patients with metastatic gastroenteropancreatic neuroendocrine carcinoma (mGEP-NEC) and define predictive and prognostic factors. Methods: Twenty mGEP-NEC patients were treated with cisplatin or carboplatin/etoposide between April 2010 and October 2014. Both large-cell and small-cell histologies were included. Cisplatin 25 mg/m 2 was administered on days 1–3 followed by etoposide 100 mg/m 2 on days 1–3 every 21 days. Carboplatin 300 mg/m 2 was administered on day 1 followed by etoposide 100 mg/m 2 on days 1–3. Results: Of the 19 evaluable patients, 13 obtained a partial response, four showed stable disease, and two progressed. Median overall survival (mOS) was 13.5 months and median progression-free survival (mPFS) was 10.9 months. Gallium-68 positron emission tomography/computerizsed tomography-positive patients had a higher, albeit not significantly, OS than those with negative results (75% vs 34.3% at 18 months; P = 0.06). mPFS was 19.3 and 6.3 months ( P , 0.01) in mGEP-NEC patients with Ki67 # 55% or . 55%, respectively. mOS was 8.1 months in the latter group but was not reached in the Ki67 # 55% group ( P -value = 0.039). Patients with a lower body mass index (BMI) had a better prognosis in terms of both OS and PFS. Patients with BMI $ 25 had a mOS of 11.7 months ( P = 0.0293) and a mPFS of 6.2 months ( P = 0.0057). Conclusion: Platinum-based chemotherapy showed good efficacy in mGEP-NEC patients. Those with Ki67 # 55%, positive Gallium-68 positron emission tomography/computerized tomography and BMI , 25 had a better prognosis.
Congenital Aniridia*

CONGENITAL ANIRIDIA is a condition characterized by bilateral absence of the iris. It is accompanied by ocular nystagmus and deficient macular vision, and frequently complicated by cataracts and glaucoma, leading to very marked impairment of sight at an early age. The condition has been reported by many investigators to follow the pattern of autosomal dominant inheritance (reviews in 1932, Mollenbach, 1947, and Sorsby, 1951). Since the phenotype is recognizable at birth and presents no diagnostic difficulties, it lends itself well to studies concerned with such aspects of human genetics as the estimation of mutation rates and selection coefficients.
Extreme Value Theory: Potential And Limitations As An Integrated Risk Management Tool

Paul Embrechts is Professor of Mathematics at the ETHZ (Swiss Federal Institute of Technology, Z urich) where he teaches insurance and nancial mathematics. He received his mathematics diploma from the University of Antwerp, his doctorate from the Catholic University of Leuven and, prior to joining the ETHZ in 1989, taught at the Universities of London (Imperial College) and Limburg at Diepenbeek (Belgium). He has published extensively in the area of applied probability, insurance and nance, and co{authored a standard book on the modelling of extremal events for insurance and nance. He is editor of the Astin Bulletin, associate editor for (among others) Finance and Stochastics and Insurance: Mathematics and Economics. He holds numerous academic and industrial positions. Abstract. Extreme Value Theory (EVT) is currently very much in the focus of interest in quantitative risk management. Originally conceived as the mathematical (probabilistic/statistical) theory for analysing rare events, it recently entered the risk management stage. In this paper I discuss some of the issues (mainly, but not exclusively) related to Value{at{Risk methodology. I try to come up with a virtues versus limitations assessment, both from an academic as well as from an end{user point of view.
Adaptive Parameter Estimation of Person Recognition Model in a Stochastic Human Tracking Process

This paper aims at an estimation of parameters of person recognition models using a sequential Bayesian filtering method. In many human tracking method, any parameters of models used for recognize the same person in successive frames are usually set in advance of human tracking process. In real situation these parameters may change according to situation of observation and difficulty level of human position prediction. Thus in this paper we formulate an adaptive parameter estimation using general state space model. Firstly we explain the way to formulate human tracking in general state space model with their components. Then referring to previous researches, we use Bhattacharyya coefficient to formulate observation model of general state space model, which is corresponding to person recognition model. The observation model in this paper is a function of Bhattacharyya coefficient with one unknown parameter. At last we sequentially estimate this parameter in real dataset with some settings. Results showed that sequential parameter estimation was succeeded and were consistent with observation situations such as occlusions.
QueryLines: approximate query for visual browsing

We introduce approximate query techniques for searching and analyzing two-dimensional data sets such as line or scatter plots. Our techniques allow users to explore a dataset by defining QueryLines: soft constraints and preferences for selecting and sorting a subset of the data. By using both preferences and soft constraints for query composition, we allow greater flexibility and expressiveness than previous visual query systems. When the user over-constrains a query, for example, a system using approximate techniques can display "near misses" to enable users to quickly and continuously refine queries.
In-Hospital Cardiac Arrest

A cardiac arrest is classified as ‘in-hospital’ (IHCA) if it occurs in a hospitalized patient who had a pulse at the time of admission. Unfortunately, the majority of patients resuscitated successfully from IHCA die before hospital discharge, and their prognosis has changed little over the past 30 years. Recent data indicate that survival to hospital discharge after in-hospital cardiac arrest is approximately 20%. A variety of factors have been proposed as determinants of poor outcomes associated with IHCA, which include first monitored rhythm, time to first shock, duration of cardiac arrest, hospital location of cardiac arrest and time of day of cardiac arrest occurrence. According to current guidelines for prevention of in-hospital cardiac arrest, hospitals should provide a system of care that includes staff education for rapid response, appropriate and regular patient vital sign monitoring, clear and uniform system of timely calling for assistance. Finally, after cardiac arrest has occurred, the quality of resuscitation and early defibrillation are crucial factors for improving survival.
A new smog chamber system for atmospheric multiphase chemistry study: design and characterization

Abstract. Multiphase chemistry is an important pathway for the formation of secondary organic aerosols (SOAs) in the atmosphere. In this study, an indoor 2 m3 Teflon chamber system (Aerosol multIphase chemistry Research chamber, AIR) was developed and characterized to specifically simulate atmospheric multiphase chemistry processes. The temperature and humidity controls, diurnal variation simulation, and seed particle generation unit in this chamber system were designed to meet the needs of simulating multiphase atmospheric chemical reactions. The AIR chamber is able to accurately control temperature (2.5–31 ± 0.15 ∘C) and relative humidity (RH <2 %–>95 % ± 0.75 %) over a relatively broad range. In addition, an RH regulation module inside the chamber was designed to simulate the diurnal variation of ambient atmospheric RH. The aerosol generation unit is able to generate pre-deliquescent seed particles with an organic coating across a wide range of phase states or morphologies. The organic coating thickness of the aerosols within the chamber can be precisely controlled through adjusting the condensation temperature, further helping to elucidate the roles of seed particles in multiphase chemical reactions. The inner walls of the AIR chamber are passivated to reduce the wall loss rates of reactive gases. Yield experiments of α-pinene ozonolysis with and without seed particles combined with a box model simulation demonstrate the high-quality performance of secondary aerosol formation simulation using the AIR chamber.
Bone grafting in total hip replacement for acetabular protrusion.

Total hip replacement combined with acetabuloplasty was performed in 43 hips in 40 patients with protrusion secondary to arthrosis, rheumatoid arthritis or trauma. Depending on the acetabular defect, the acetabulo-plasty encompassed reinforcement of the medial wall with bone grafts, vi-tallium meshes, protrusio rings and cups. The clinical and radiographic results were uniformly good on average 2 years postoperatively. All grafts appeared to be united and incorporated, without evidence of resorption. The only patient suffering from pain had radiographic signs of progressive varus migration of the femoral component.
Ticks and Tick-borne Diseases

Amblyomma sculptum is a tick affecting animal and human health across Argentina, Bolivia, Paraguay and Brazil. Donkeys, Equus asinus, are known to be resistant to A. sculptum, suggesting that they can produce non-host tick semiochemicals (allomones), as already demonstrated for some other vertebrate host/pest interactions, whereas horses, Equus caballus, are considered as susceptible hosts. In this study, we tested the hypothesis that donkeys produce natural repellents against A. sculptum, by collecting sebum from donkeys and horses, collecting the odour from sebum extracts, and identifying donkey-specific volatile compounds by gas chromatography (GC) and coupled GC-mass spectrometry (GC–MS). From the complex collected blends, five main compounds were identified in both species. Hexanal, heptanal and (E)-2-decenal were found predominantly in donkey extracts, whilst ethyl octanoate and ethyl decanoate were found predominantly in horse extracts. One compound, (E)-2octenal, was detected exclusively in donkey extracts. In Y-tube olfactometer bioassays 36 different A. sculptum nymphs were tested for each extract, compound and concentration. The dry sebum extracts and the compounds identified in both species induced neither attraction nor repellency. Only (E)-2-octenal, the donkey-specific compound, displayed repellency, with more nymphs preferring the arm containing the solvent control when the compound was presented in the test arm across four concentrations tested (p < 0.05, Chi-square test). A combination of a tick attractant (ammonia) and (E)-2-octenal at 0.25M also resulted in preference for the control arm (p < 0.05, Chi-square test). The use of semiochemicals (allomones) identified from less-preferred hosts in tick management has been successful for repelling brown dog ticks, Rhipicephalus sanguineus sensu lato from dog hosts. These results indicate that (E)-2-octenal could be used similarly to interfere in tick host location and be developed for use in reducing A. sculptum numbers on animal and human hosts.
Analysis of U-V2X Communications with Non-Clustered and Clustered Jamming in the Presence of Fluctuating UAV Beam Width

Jammers emit strong intentional jamming signals aiming to limit or block legitimate communications. The distribution of jammers, whether in non-clustered or clustered form, significantly influences the performance of vehicle-to-everything (V2X) networks. In addition, the fluctuations in the three-dimensional (3D) antenna beam width of unmanned aerial vehicles (UAVs) can exert a substantial impact on the network’s overall performance. This paper introduces a model for UAV-V2X (U-V2X) communications in mm-Wave bands, considering non-clustered and clustered jammers, as well as the varying 3D antenna beam width. The roads are modeled using a Poisson line process, vehicular nodes (VNs) are modeled using a 1D Poisson point process (PPP), and UAVs are modeled using a 3D PPP. The jammers are distributed in two ways: non-clustered and clustered distributions. Moreover, the fluctuations in the 3D antenna beam width follow a normal distribution. To this end, a typical node’s performance in U-V2X communications is evaluated for various network configurations, including the number of UAVs, VNs, roads, jammers, and jammer’s transmission power. The analytical expressions for the outage probability (OP) of VN to VN connection (i.e., V2V), VN to UAV connection (i.e., V2U2V), and an overall connection (i.e., U-V2X), under non-clustered and clustered jamming, along with the fluctuating antenna beam width, are derived. The results revealed that the performance of the U-V2X communications utilizing mm-Waves is significantly degraded with the non-clustered jamming in comparison with the clustered jamming. The fluctuations in the 3D beam width of the UAV antennas further compromise the network’s performance. Thus, accurate modeling of these fluctuations is crucial, particularly in the presence of non-clustered jammers. Furthermore, the system designers should focus on implementing additional anti-jamming countermeasures specifically targeting non-clustered jammers in U-V2X communications.
Physical Activity, Sedentary Behaviour and Cardiovascular Risk Factors in Overweight Low-Income Schoolchildren: A Complex System Perspective

Background: This study analysed through the perspective of networks the association between physical activity (PA), sedentary behaviour (SB), and cardiovascular risk factors in overweight low-income schoolchildren from the perspective of complex systems. Methods: The sample consisted of 41 overweight children between 6 and 10 years old (56% girls). PA and SB were analysed by accelerometer, and the measures of cardiovascular factor risk were: anthropometric and hemodynamic measurements, body fat, lipid profile and glucose, cardiorespiratory fitness (CRF), left ventricular mass (LVM), and Sokolow–Lyon. Network analysis with Bootstrap-1000 was performed to analyse the association between PA, SB and the cardiovascular risk factors. Results: Moderate-to-vigorous PA was positive related to waist circumference (WC; 0.499), HDL-C (0.307), and CRF (0.276), and negatively associated with BMI (−0.251) and Fat (−0.341). For SB, positive associations were seen with WC (0.326), CRF (0.296), LVM (0.250) and Sokolow (0.215). In addition, the centrality indicators highlighted WC as the most important variable in the network. Conclusion: Interventions that aim to mitigate the harmful effects of obesity on cardiovascular risk factors in overweight children should consider WC as an important variable in the system.
Weather, Vol. 78, no. 8, August 2023, pp. 210‐236

ing and Indexing Weather is covered by the following abstracting and indexing services: CAB Abstracts® (CABI), Cambridge Scientific Abstracts (CSA/CIG), CSA Environmental Sciences & Pollution Management Database (CSA/CIG), GEOBASE/ Geographical & Geological Abstracts (Elsevier), Science Citation Index Expanded (also known as SciSearch®) (Thomson ISI), Journal Citation Reports/Science Edition (Thomson ISI), Current
The worldwide epidemiology of acute rheumatic fever and rheumatic heart disease

: Acute rheumatic fever (ARF) and rheumatic heart disease (RHD) are significant public health concerns around the world. Despite decreasing incidence, there is still a significant disease burden, especially in developing nations. This review provides background on the history of ARF, its pathology and treatment, and the current reported worldwide incidence of ARF and prevalence of RHD.
A Backpropagation Algorithm for Inferring Disentagled Nodal Dynamics and Connectivity Structure of Dynamical Networks

Dynamical networks are versatile models that describe a variety of behaviours such as synchronisation and feedback in networks of coupled dynamical components. However, applying these models in real systems is difficult as prior information of the connectivity structure or local dynamics is often unknown and must be inferred from node state observations. Additionally, the influence of coupling interactions complicates the isolation of local node dynamics. Given the architectural similarities between dynamical networks and recurrent neural networks (RNNs), we propose a network inference method based on the backpropagation through time (BPTT) algorithm used to train RNNs. This method aims to simultaneously infer both the connectivity structure and isolated local node dynamics from node state observations. An approximation of local node dynamics is first constructed using a neural network. This is alternated with an adapted BPTT algorithm to regress corresponding network weights by minimising prediction errors of the network based on the previously constructed local models until convergence. This method was successful in identifying the connectivity structure for coupled networks of chaotic oscillators. Freerun prediction performance with the resulting local models and weights was comparable to the true system with noisy initial conditions. The method is also extended to asymmetric negative coupling.
Thermal Modulation of a Chaotic Fiber Laser by Using a Phase-Shifted Fiber Bragg Grating

Thermal modulation of a chaotic fire laser by using a phase-shifted fiber Bragg grating (PS-FBG) is proposed. In this chaotic laser system, a double-ring resonator model is employed, leveraging the laser self-mixing method. Specifically, one of the rings serves as the laser resonator cavity, while the other ring acts as the cavity for injecting optical feedback. A PS-FBG is setting in the laser resonant optical path to select and limit the dominant frequency of laser signals. The laser system enters chaotic state through adjusting the intensities of optical feedback self-mixing. The temperature of the PS-FBG can be changed at 26–70 °C in stepping of 0.5 °C to control the chaotic laser. According to the experimental results, the chaotic signal has a highly sensitive dynamic response to the temperature change of PS-FBG. An easy method for dynamic modulation changes of chaotic laser signal is provided, the system has great potential application value in the FBG sensing, optical storage and information transfer of chaotic laser communication.
Pedotransfer functions adapted for soils from La Plata, Argentina.

La información fácilmente obtenible para los suelos agrícolas son textura, contenido de materia orgánica y densidad aparente. Otras variables como la conductividad hidráulica saturada y la cantidad de agua almacenada en relación con el potencial agua del suelo son, en muchas ocasiones, difíciles de medir en el campo. Las funciones de transferencia edafológica (FTE) transforman datos asequibles en aquellos que necesitamos. Los objetivos de este trabajo fueron evaluar la aplicabilidad de FTE disponibles en la literatura a suelos de la zona de La Plata (Argentina) y desarrollar nuevas FTE para estos suelos. Se utilizaron datos obtenidos experimentalmente de retención hídrica, textura y materia orgánica. Las FTE seleccionadas para evaluar su eficacia estimativa en estos suelos fueron dos: una paramétrica (FTE de Saxton et al., 1986) y la otra de estimación puntual (FTE de Rawls et al., 1982). Para la FTE de Saxton et al. (7), en dos de las cuatro tensiones analizadas se encontraron diferencias significativas entre los valores medidos y los estimados. La FTE de Rawls et al. (6) para todas las tensiones estimó valores significativamente diferentes a los medidos. Se generó una FTE a partir de Rev. FCA UNCuyo. Tomo 42. N° 2. Año 2010. 111-115. Nota breve
Transboundary water management

There are 261 transboundary river basins in the world, representing 45% of the earth’s land area. Nineteen basins cross five countries or more, including the Mekong, the Nile, the Niger and the Rhine. The Danube, for example, flows adjacent to, or through 18 countries. In Europe alone, 20 countries rely on neighbouring countries for more than 10% of their water resources and five European countries draw 75% of their water resources from upstream countries. This case study focuses on modes of international regulatory co-ordination in water governance, specifically in managing river basins that cross national boundaries for non-navigational purposes.