Miracle-dz/UniFAR-FTUs huggingface dataset:
Volatile compounds and physicochemical characteristics of Thai roasted chilli
seasoning

Thai roasted chilli seasoning is a condiment used to enhance the taste and aroma of foods, especially noodles. The characteristics of aroma-active compounds were analysed by using SPME, followed by gas chromatography-mass spectrometry (GC/MS) combined with descriptive sensory analysis to describe the aroma attributes. The roasted chilli seasoning was produced by using the optimum mixing ratio and roasting conditions (91°C for 23 mins). Firstly, the result revealed very low aflatoxin content (0.36 µg/kg) along with undetected aerobic plate count and yeasts and moulds. The predominant odorants in Thai roasted chilli seasoning obtained from GC-MS were mainly acid, Strecker aldehydes, Maillard reaction products, and sulfur-containing compounds. Acetic acid with a pungent aroma note showed the highest intensity, followed by prop-2-en-1-ol and diallyl disulfide contributing to garlic and spicy note respectively. Based on sensory evaluation, roasted, burnt, fatty, garlic-like, onion-like, pungent, spicy and sweet were found as distinctive notes for Thai roasted chilli seasoning. Maillard reaction products such as 2-methylbutanal, 3-methyl-butanal and furfural contribute to roasted notes, whereas garlic and onion odour notes are from prop-2-en-1-ol and allyl methyl trisulfide. Acetic acid together with (E)-2-heptenal and 1-(2-furanyl)-Ethanone contributed to pungent note in the sample, whereas diallyl disulfide (sulfur-containing volatiles) mainly responsible for spicy odour
Secondary Short-term Study Abroad Programs as a Pathway for Increased Tertiary Intercultural Competence and Global Engagement

In this qualitative study, the researcher considered the concept of short-term study abroad at the secondary level as a pathway to increased participation in international programs in higher education institutions (HEIs) and beyond. To effectively prepare students to live and work in a global economy, many HEIs offer study abroad programs as a method of increasing the intercultural competence of participants. However, myriad students in underserved populations perceive study abroad programs as out of their reach, while others have never even considered it. Using an interpretative phenomenological analysis, the researcher interviewed university students who attended high school in an underserved community in the northeast United States. Through a series of interviews, these former high school short-term study abroad participants recounted their experiences abroad and offered numerous examples of the deep impact international programming had on their intercultural competence and its impact on their future international experiences. The results of the study indicated short-term study abroad programs at the secondary level increased the intercultural competence of participants and promoted further international experiences at university and beyond.
Cabana: A Performance Portable Library for Particle-Based Simulations

1 Oak Ridge National Laboratory, Oak Ridge, TN, USA 2 Los Alamos National Laboratory, Los Alamos, NM, USA 3 University of California, Los Angeles, Los Angeles, CA, USA 4 Jülich Supercomputing Centre, Jülich, Germany 5 Jubilee Development, Cambridge, MA, USA 6 Sandia National Laboratories, Albuquerque, NM, USA 7 Lawrence Livermore National Laboratory, Livermore, CA, USA ¶ Corresponding author DOI: 10.21105/joss.04115
Graphene-Integrated Plasmonic Metamaterial for Manipulation of Multi-Band Absorption, Based on Near-Field Coupled Resonators

Absorption, Abstract: We demonstrated a multi-band plasmonic metamaterial absorber (MA), based on the near-ﬁeld coupled resonators. In addition to the individual resonances of resonators in the proposed structure, which were split-ring resonator (SRR) and cross-shape structures, another resonance was also excited owing to the coupling of resonators, revealing a triple-band absorption. Furthermore, to control the absorption behavior, on the top of the SRRs, the identical SRRs made of graphene ink were pasted. By increasing the resistance of graphene ink, the coupling strength was weakened, changing the triple-band absorption to a dual-band one. Our work might be useful as the controllable devices, based on graphene-integrated plasmonic MA, such as ﬁlters, detectors and energy harvesters.
Challenges and Opportunities for Digital Marketing Within Contemporary Art Book Publishing

To download this article, please click here . This dissertation examines a number of challenges and opportunities in digital marketing within con- temporary art book publishing. As products of a uniquely cross-pollinated strain of culture and publishing, their tactility and physicality are amongst their most appealing qualities, standing out in a world where so much takes place in a virtual space. The appeal of art books today is thought to be getting stronger and stronger as many other kinds of books dematerialise in the digital space, standing out more than ever as objects. However, art books still have to contend with a marketing landscape where digital grows increasingly more dominant and influential each year. The differences that make art books stand out may well give rise to difficulties and challenges when it comes to marketing and selling them in a digital environment. But conversely, there could be a greater amount and broader spread of opportunities for effectively marketing art books online that would not be available to different kinds of books. This dissertation seeks to investigate how a number of art book publishers are currently using the digital marketing tools that are available to them, the effectiveness of their strategies, what challenges are being faced and which opportunities are being under-utilised.
Definition of High-Risk Early Hormone-Positive HER2−Negative Breast Cancer: A Consensus Review

Simple Summary Breast cancer is one of the major causes of cancer-related morbidity and mortality in women worldwide. Despite recent improvements in adjuvant treatment of hormone receptor-positive/HER2−negative breast cancer, estimating the risk of relapse of breast cancer on an individual basis is still challenging. The IRIDE (high risk definition in breast cancer) working group was established with the aim of reviewing evidence from the literature to synthesize the current relevant features that predict hormone-positive/HER2−negative early breast cancer relapse. This work may guide clinicians in the practical management of hormone-positive/HER2−negative early breast cancers. Abstract Breast cancer is one of the major causes of cancer-related morbidity and mortality in women worldwide. During the past three decades, several improvements in the adjuvant treatment of hormone receptor-positive/HER2−negative breast cancer have been achieved with the introduction of optimized adjuvant chemotherapy and endocrine treatment. However, estimating the risk of relapse of breast cancer on an individual basis is still challenging. The IRIDE (hIGh Risk DEfinition in breast cancer) working group was established with the aim of reviewing evidence from the literature to synthesize the current relevant features that predict hormone-positive/HER2−negative early breast cancer relapse. A panel of experts in breast cancer was involved in identifying clinical, pathological, morphological, and genetic factors. A RAND consensus method was used to define the relevance of each risk factor. Among the 21 features included, 12 were considered relevant risk factors for relapse. For each of these, we provided a consensus statement and relevant comments on the supporting scientific evidence. This work may guide clinicians in the practical management of hormone-positive/HER2−negative early breast cancers.
MRF Models Based on a Neighborhood Adaptive Class Conditional Likelihood For Multimodal Change Detection

Statistical methods for automatic change detection, in heterogeneous bitemporal satellite images, remains a challenging research topic in remote sensing mainly because this research field involves the processing of image data with potentially very different statistical behaviors. In this paper, we propose a new Bayesian statistical approach, relying on spatially adaptive class conditional likelihoods which are also adaptive to the considered imaging modality pair and whose parameters are estimated in a first preliminary estimation step. Once that estimation is done, a second stage is dedicated to the change detection segmentation itself based on this likelihood model defined for each pixel and for each imaging modality. In this context, we compare and discuss the performance of different Markovian segmentation strategies obtained in the sense of several non-hierarchical or hierarchical Markovian estimators on real satellite images with different imaging multi-modalities. Based on our original pixel-wise likelihood model, we also compare these Markovian segmentation strategies over the existing state-of-the-art heterogeneous change detection algorithms proposed in the literature.
Acute Exercise with Moderate Hypoxia Reduces Arterial Oxygen Saturation and Cerebral Oxygenation without Affecting Hemodynamics in Physically Active Males

Hemodynamic changes during exercise in acute hypoxia (AH) have not been completely elucidated. The present study aimed to investigate hemodynamics during an acute bout of mild, dynamic exercise during moderate normobaric AH. Twenty-two physically active, healthy males (average age; range 23–40 years) completed a cardiopulmonary test on a cycle ergometer to determine their maximum workload (Wmax). On separate days, participants performed two randomly assigned exercise tests (three minutes pedaling at 30% of Wmax): (1) during normoxia (NORMO), and (2) during normobaric AH at 13.5% inspired oxygen (HYPO). Hemodynamics were assessed with impedance cardiography, and peripheral arterial oxygen saturation (SatO2) and cerebral oxygenation (Cox) were measured by near-infrared spectroscopy. Hemodynamic responses (heart rate, stroke volume, cardiac output, mean arterial blood pressure, ventricular emptying rate, and ventricular filling rate) were not any different between NORMO and HYPO. However, the HYPO test significantly reduced both SatO2 (96.6 ± 3.3 vs. 83.0 ± 4.5%) and Cox (71.0 ± 6.6 vs. 62.8 ± 7.4 A.U.) when compared to the NORMO test. We conclude that an acute bout of mild exercise during acute moderate normobaric hypoxia does not induce significant changes in hemodynamics, although it can cause significant reductions in SatO2 and Cox.
Association Between Asthmatic Patients’ Asthma Control Test Score and the Number of Exacerbations per Year in King Abdulaziz Medical City, Riyadh

Background Asthma is a reactive airway disease that has a high prevalence across the globe. Asthma exacerbations can occur due to various bacterial and viral infections that irritate nerve endings in the airways. With time, airway obstruction follows, and patients with asthma have various symptoms that occur intermittently. Asthma symptoms primarily include breathlessness, wheezing, coughing, and chest tightness. This research focused on the association between the Asthma Control Test (ACT) score and number of exacerbations per year. Methods A questionnaire-based, cross-sectional study was conducted at the outpatient pulmonary clinic, King Abdulaziz Medical City, a tertiary hospital in Riyadh. The study included 227 adult patients who were diagnosed with asthma and had no other pulmonary diseases or other medical diseases that could mimic asthma exacerbation. Data was collected by direct interview with the patients and through the BESTCare system in King Abdulaziz Medical City. All the data were collected through Microsoft Excel 2010 (Microsoft, Redmond, WA, USA) and analyzed using Statistical Package for Social Sciences (SPSS) Statistics version 23 (IBM Corp., Armonk, NY, US). The categorical data we used were presented by percentages and frequencies such as gender, whereas the numerical data were prescribed as mean and standard deviation such as age and number of exacerbations. For inferential statistics, Chi square was used to find the association between the categorical variable while T-test and ANOVA test were used to find the relationship between asthma control test score of asthmatic patients, which was divided into three different groups based on their scores that include: well-controlled, partially controlled, or uncontrolled, and the number of exacerbations per year. Results A total of 227 adult asthma patients were enrolled in this study, most of them were females (72.7%). Average age of the participants was 47.3 ± 13.8 years. The average ACT score was found to be 18.5 ± 4.9 out of 25. Uncontrolled asthma was present in 26% of the patients, 22.9% were partially controlled and 51.1% had well-controlled asthma; to relieve the exacerbation most of the patients used salbutamol (51.5%), 35.2% used oxygen and 30.4% did not use any medication. Gender and age were not associated with ACT score (P = 0.787 and 0.797, respectively), whereas number of exacerbations was significantly associated with ACT score (P = 0.000), as fewer exacerbations were reported with higher ACT scores. Conclusion About one-quarter of the patients had uncontrolled asthma, slightly less than one-quarter of the patients had partially controlled asthma while more than half of the patients had well-controlled asthma. Number of exacerbations was found to be significantly associated with asthma control test score as fewer exacerbations were reported in well-controlled asthmatic patients.
FamilyGuard: A Security Architecture for Anomaly Detection in Home Networks

The residential environment is constantly evolving technologically. With this evolution, sensors have become intelligent interconnecting home appliances, personal computers, and mobile devices. Despite the benefits of this interaction, these devices are also prone to security threats and vulnerabilities. Ensuring the security of smart homes is challenging due to the heterogeneity of applications and protocols involved in this environment. This work proposes the FamilyGuard architecture to add a new layer of security and simplify management of the home environment by detecting network traffic anomalies. Experiments are carried out to validate the main components of the architecture. An anomaly detection module is also developed by using machine learning through one-class classifiers based on the network flow. The results show that the proposed solution can offer smart home users additional and personalized security features using low-cost devices.
Whispered Speech Detection Using Glottal Flow-Based Features

Recent studies have reported that the performance of Automatic Speech Recognition (ASR) technologies designed for normal speech notably deteriorates when it is evaluated by whispered speech. Therefore, the detection of whispered speech is useful in order to attenuate the mismatch between training and testing situations. This paper proposes two new Glottal Flow (GF)-based features, namely, GF-based Mel-Frequency Cepstral Coefficient (GF-MFCC) as a magnitude-based feature and GF-based relative phase (GF-RP) as a phase-based feature for whispered speech detection. The main contribution of the proposed features is to extract magnitude and phase information obtained by the GF signal. In the GF-MFCC, Mel-frequency cepstral coefficient (MFCC) feature extraction is modified using the estimated GF signal derived from the iterative adaptive inverse filtering as the input to replace the raw speech signal. In a similar way, the GF-RP feature is the modification of the relative phase (RP) feature extraction by using the GF signal instead of the raw speech signal. The whispered speech production provides lower amplitude from the glottal source than normal speech production, thus, the whispered speech via Discrete Fourier Transformation (DFT) provides the lower magnitude and phase information, which make it different from a normal speech. Therefore, it is hypothesized that two types of our proposed features are useful for whispered speech detection. In addition, using the individual GF-MFCC/GF-RP feature, the feature-level and score-level combination are also proposed to further improve the detection performance. The performance of the proposed features and combinations in this study is investigated using the CHAIN corpus. The proposed GF-MFCC outperforms MFCC, while GF-RP has a higher performance than the RP. Further improved results are obtained via the feature-level combination of MFCC and GF-MFCC (MFCC&GF-MFCC)/RP and GF-RP(RP&GF-RP) compared with using either one alone. In addition, the combined score of MFCC&GF-MFCC and RP&GF-RP gives the best frame-level accuracy of 95.01% and the utterance-level accuracy of 100%.
Effects of synbiotics preparations added to Pengging duck diets on egg production and egg quality and hematological traits

Background and Aim: Duck eggs have high cholesterol levels; inulin addition combined with probiotic is known in several studies to lower cholesterol, while maintaining egg production capacity and blood hematology. This study aimed to investigate the effect of the addition of synbiotic preparations on egg production, egg quality, and hematology of Pengging ducks. Materials and Methods: A total of 200 female Pengging ducks aged 75 weeks (late production phase) and weighing 1467±90.87 g were maintained in litter cages, each measuring 1×1 ducks. The treatment included the addition of synbiotics between the inulin of gembili tuber (Dioscorea esculenta L. and Lactobacillus plantarum Ina CC B76) as follows: T0=control feed (“farmer feed”), T1=control feed+synbiotics 1 mL/100 g, T2=control feed+synbiotics 1.5 mL/g, and T3=control feed+synbiotics 2 mL/100 g in the feed. A completely randomized design was used in this study. The production performance, physical and chemical qualities of eggs, and hematological parameters of Pengging ducks were evaluated. Results: The addition of synbiotics had no significant impact on the production performance, physical and chemical qualities of eggs, and hematological parameters (p>0.05), except for the egg yolk cholesterol content. The cholesterol content decreased significantly (p<0.05) with T2 and T3 treatments, but they had no significant effect (p>0.05). A significant decrease (p<0.01) in cholesterol levels was observed when the synbiotic dose was given at 1.5 ml/100 g feed (T2). However, there was no further decrease in cholesterol level when the synbiotic dose was increased to 2 ml/100g fed (T3) Conclusion: The addition of synbiotics preparations at 1.5 mL/100 g reduced the cholesterol content but did not improve egg production, egg physical quality, and hematology of Pengging ducks.
Impact of Chronic Use of Whey Protein Isolate in Two Doses Using an Experimental Model

There is limited evidence in the scientific literature regarding the chronic use of whey protein and its potentially adverse effects or toxicity. We evaluated the impact of chronic use of whey protein in two doses using an experimental model. Adult male Wistar rats (n = 30) were supplemented with two different doses: 3125 mg/kg and 6250 mg/kg of whey protein isolate for 90 days. Biochemical, hematological, tissue, morphological, and behavioral analysis were evaluated. The whey-treated groups significantly increased their weight compared to the control (p < 0.05). Biochemical and hematological parameters were unchanged, except for glucose, higher in the 6250 mg/kg group (p < 0.05). The behavioral analysis showed no relevant difference (p > 0.05). The organs analysis showed an absolute increase in liver, right kidney, and heart weights in the whey-treated group compared to the control (p < 0.05). This study suggests that whey protein isolate has no toxicity when supplemented at such doses for 90 days. These doses also appeared to have the same effect regarding weight gain and absolute organs weight. This research corroborates with current literature; however, further work is needed to safely investigate the chronic use of whey supplements at a higher dose.
SOLITARY WAVES IN SPACE DUSTY PLASMA WITH DUST OF OPPOSITE POLARITY

The nonlinear propagation of small but finite amplitude dust-acoustic solitary waves ( DAWs) in an unmagnetized, collisionless dusty plasma has been investigated. The fluid model is a generalize to the model of Mamun and Shukla to a more realistic space dusty plasma in different regions of space viz., cometary tails, mesosphere, Jupiter's magnetosphere, etc., by considering a four component dusty plasma consists of charged dusty plasma of opposite polarity, isothermal electrons and vortex like ion distributions in the ambient plasma. A reductive perturbation method was employed to obtain a modified Korteweg-de Vries (mKdV) equation for the first-order potential and a stationary solution is obtained. The effect of the presence of positively charged dust fluid, the specific charge ratio µ , temperature of the positively charged dust fluid, the ratio of constant temperature of free hot ions and the constant temperature of trapped ions and ion temperature are also discussed.
Designing digital and physical interactions for the Digital Public Space

Over the course of the last decade there has been a perceivable shift in the way interactions occur with digital systems with a clear preference towards touchscreen based interactions. This move can be attributed in part to the Apple’s iPhone, first introduced in 2007, and whilst not the first touchscreen product, it was the first to lead to widespread adoption and use. This thesis seeks to develop new design interaction methods that recognise that we are moving away from a dominance of digital interactions with screens to one where interactions are supported by everyday things. These devices allow greater perspectives to be gained than when purely interacting by touchscreen. This is presented as an exploration of interaction methods surrounding intermediary objects that are both physical and digital in nature - phygital. Affordances are an important part of how people interact with devices in their everyday life; it is these affordances that let us understand how to use things around us. Affordances are also present in the digital world and are an important part of how the work presented in this thesis analysed the design of the phygital objects and interactions they enabled. This thesis draws on six case studies from a diverse range of projects undertaken as part of The Creative Exchange research project. Beginning with an exploration of current touchscreen interaction methods then moving towards identifying and suggesting new interaction models. Throughout this research, key ideas will be extracted, rationalised and presented individually for each Creative Exchange project, in such a way that allows conclusions to be drawn about physical and digital interactions in the Digital Public Space. Finally, this body of work concludes with a design manifesto which, provides a route away from strict screen interactions to one where more physical Natural User Interfaces that interact with the world. The manifesto will also serve prospective phygital interaction designers in the production of new interactions by identifying key findings such as matching affordances to the phygital objects.
DISCUSSION PAPER SERIES Tracking When Ranking Matters

This paper investigates the effect of grouping students by prior achievement into different classes (or schools) in settings where students are competing for admission to programs offering only a limited number of places. We first develop a model that identifies the conditions under which the practice of tracking students by prior achievement increases inequalities between students that do not initially have the same academic background, such as may exist between students with different social backgrounds. We then test our model using new data on the competitive entrance exams to elite scientific higher education programs in France. We find that 70% of the inequality in success in these exams between students from different social backgrounds can be explained by the practice of tracking students by prior achievement that prevails during the years of preparation for these exams.