Miracle-dz/UniFAR-FTUs huggingface dataset:
A Resampling Approach for Imbalanceness on Music Genre Classification using Spectrograms

In real-world problems, modeled as machine learning tasks, the datasets are typically unbalanced, meaning that some classes have much more instances than others. In the Music Information Retrieval field it is not different and songs datasets usually are very unbalanced. Considering this scenario, we propose a novel approach to face the class imbalance problem applied to music genre classification. The proposed method uses vertical sliced spectrograms extracted from the songs’ audio signal to apply oversampling and undersampling into the minority and majority classes, respectively. The experimental results for F-Score measure showed that our approach was able to beat the best result of Random Undersampling technique by 0.086, using MultiLayer Perceptrons. Besides, comparing to the baseline results, our approach significantly increased the individual results for all the minority classes.
Micelles possessing mixed cores and thermoresponsive shells fabricated from well-defined amphiphilic ABC miktoarm star terpolymers

Amphiphilic ABC miktoarm star terpolymers consisting of polystyrene, poly(e-caprolactone), and poly(N-isopropylacrylamide) arms, PS(-b-PNIPAM)-b-PCL, were synthesized via a combination of atom transfer radical polymerization, ring- opening polymerization (ROP), and click chemistry. Difunctional PS bearing an alkynyl and a primary hydroxyl moiety at the chain end, PS-alknyl-OH, was pre- pared by reacting azido-terminated PS with an excess of 3,5-bis(propargyloxy)benzyl alcohol (BPBA) under click conditions. The subsequent ROP of e-caprolactone using PS-alknyl-OH macroinitiator afforded PS(-alkynyl)-b-PCL copolymer bearing an alkynyl moiety at the diblock junction point. Target PS(-b-PNIPAM)-b-PCL amphi- philic ABC miktoarm star terpolymers were then prepared via click reaction between PS(-alkynyl)-b-PCL and an excess of azido-terminated PNIPAM (PNIPAM-N3). The removal of excess PNIPAM-N3 was accomplished by ''clicking'' onto alkynyl-function- alized Wang resin. All the intermediate and final products were characterized by gel permeation chromatography, 1 H NMR, and FTIR. In aqueous solution, the obtained amphiphilic ABC miktoarm star terpolymer self-assembles into micelles possessing mixed PS/PCL cores and thermoresponsive shells, which were further characterized by dynamic laser light scattering and transmission electron microscopy. V C 2009 Wiley
An English-Hindi Code-Mixed Corpus: Stance Annotation and Baseline System

Social media has become one of the main channels for peo- ple to communicate and share their views with the society. We can often detect from these views whether the person is in favor, against or neu- tral towards a given topic. These opinions from social media are very useful for various companies. We present a new dataset that consists of 3545 English-Hindi code-mixed tweets with opinion towards Demoneti- sation that was implemented in India in 2016 which was followed by a large countrywide debate. We present a baseline supervised classification system for stance detection developed using the same dataset that uses various machine learning techniques to achieve an accuracy of 58.7% on 10-fold cross validation.
Implementation of a 200 MSps 12-bit SAR ADC

Analog-to-digital converters (ADCs) with high conversion frequency, often based on pipelined architectures, are used for measuring instruments, wireless communication and video applications. Successive approximation register (SAR) converters offer a compact and power efficient alternative but the conversion speed is typically designed for lower frequencies. In this thesis a low-power 12-bit 200 MSps SAR ADC based on charge redistribution was designed for a 28 nm CMOS technology. The proposed design uses an efficient SAR algorithm (merged capacitor switching procedure) to reduce power consumption due to capacitor charging by 88 % compared to a conventional design, as well as reducing the total capacitor area by half. Sampling switches were bootstrapped for increased linearity compared to simple transmission gates. Another feature of the low power design is a fully-dynamic comparator which does not require a preamplifier. Pre-layout simulations of the SAR ADC with 800 MHz input frequency shows an SNDR of 64.8 dB, corresponding to an ENOB of 10.5, and an SFDR of 75.3 dB. The total power consumption is 1.77 mW with an estimated value of 500 W for the unimplemented digital logic. Calculation of the Schreier figure-of-merit was done with an input signal at the Nyquist frequency. The simulated SNDR, SFDR and power equals 69.5 dB, 77.3 dB and 1.9 mW respectively, corresponding to a figure-of merit of 176.6 dB.
Effect of bulk electric field reversal on the bounce resonance heating in dual-frequency capacitively coupled electronegative plasmas

The electron bounce resonance heating (BRH) in dual-frequency capacitively coupled plasmas operated in oxygen and argon has been studied by different experimental methods. In comparison with the electropositive argon discharge, the BRH in an electronegative discharge occurs at larger electrode gaps. Kinetic particle simulations reveal that in the oxygen discharge, the bulk electric field becomes quite strong and is out of phase with the sheath field. Therefore, it retards the resonant electrons when traversing the bulk, resulting in a suppressed BRH. This effect becomes more pronounced at lower high-frequency power, when the discharge mode changes from electropositive to electronegative.
Developments/Application of Ionic Liquids/Poly Ionic Liquids in Magnetic Solid-Phase Extraction and Solid Phase Microextraction

This review gives a survey on the latest most representative progress concerning ionic liquids and poly ionic liquids in magnetic solid phase extraction, from their fundamental Approaches to their developments and applications. It also highlights the recent advancements in the ionic liquid and poly ionic liquid in magnetic solid phase extraction and Solid phase microextraction.
Blueprinting an Event & Customer Oriented Marketing Mix : The Case of the Sfendami Mountain Festival Small Scale Event

The paper attempts to define, through mapping, the important Supply-Demand Service(s) Contact-Points, and to discuss the development of a suitable Service Blueprint design system that could be applied to sport events and other relevant events. After a description of the relevant literature of Services Blueprinting Analysis, SBA, the paper presents an application of it to a real sporting event, the Sfendami Mountain Festival, SMF, which took place in 2013. After the results of the SBA analysis the paper suggests the use of a customer centric model of marketing mix, giving emphasis to how the use of SBA in Sport and other related events could lead to the understanding of the customer’s needs and expectations and to the delivery of better services to them.
Diving Behavior During Foraging in Breeding Adelie Penguins

We used electronic time depth recorders to examine diving patterns of Adelie Penguins (Pygoscelis adeliae) breeding near Palmer Station, Antarctica. Most hunting dives consisted of a rapid descent to depth, a period of bottom time at near-constant depth, and a rapid ascent to the surface. Most hunting activity occurred in bouts of consecutive dives to similar depths. Adelies foraged at depths between 3 and 98 m, with a mean of 26 m. Descent and ascent rates averaged 1.2 and 1.1 m/s, respectively. Foraging was primarily diurnal, but there was relatively little circadian change in foraging depth. The birds' overall hunting effort (cumulative bottom time) was concentrated between 0500 and 2100 at depths between 10 and 40 m. Bottom time decreased slightly with increasing depth but the cor? relation was weak. Dive duration was positively correlated with dive depth. Maximum dive duration was 160 s; most hunting dives lasted 60-90 s with a mean of 73 s. Post-dive surface intervals averaged ? 50% of dive duration. Time use efficiency during dive bouts (bottom time/(dive duration + surface interval)) decreased with increasing dive depth. Estimates of oxygen stores and diving metabolic rates indicate that the aerobic dive limit of Adelies is 46-68 s and that most hunting dives require some anaerobic metabolism. Use of anaerobiosis engenders an energy penalty and probably affects both the behavior and energetics of foraging.
Physiological and Proteomic Analyses of Molybdenum- and Ethylene-Responsive Mechanisms in Rubber Latex

Molybdenum (Mo) is an essential micronutrient in many plants. In the rubber tree Hevea brasiliensis, Mo application can reduce the shrinkage of the tapping line, decrease tapping panel dryness, and finally increase rubber latex yield. After combined Mo with ethylene (Eth), these effects become more obvious. However, the molecular mechanism remains unclear. Here, we compared the changed patterns of physiological parameters and protein accumulation in rubber latex after treated with Mo and/or Eth. Our results demonstrated that both Eth and Mo can improve the contents of thiol, sucrose, and dry yield in rubber latex. However, lutoid bursting is significantly inhibited by Mo. Comparative proteomics identified 169 differentially expressed proteins, including 114 unique proteins, which are mainly involved in posttranslational modification, carbohydrate metabolism, and energy production. The abundances of several proteins involved in rubber particle aggregation are decreased upon Mo stimulation, while many enzymes related to natural rubber biosynthesis are increased. Comparison of the accumulation patterns of 25 proteins revealed that a large portion of proteins have different changed patterns with their gene expression levels. Activity assays of six enzymes revealed that Mo stimulation can increase latex yield by improving the activity of some Mo-responsive enzymes. These results not only deepen our understanding of the rubber latex proteome but also provide new insights into the molecular mechanism of Mo-stimulated rubber latex yield.
A Reliable Strong PUF Based on Switched-Capacitor Circuit

This paper presents a highly reliable and invasive-attack-resistant switched-capacitor (SC) strong physical unclonable function (PUF), which can offer an extremely large number of challenge–response pairs. Two symmetrical capacitor arrays that are controlled by challenges are used to realize the strong ability of SC PUF. The mismatch created by the capacitor arrays in real fabrication is sampled by an SC circuit and further amplified by a latch-styled sense amplifier. By covering the entire chip with the metallic transmission lines connected to the sampling capacitor, the PUF can resist invasive attacks. To provide highly reliable responses, a built-in self-test (BIST) strategy is also adopted. A test capacitor is embedded in the PUF circuits to automatically test the capacitance deviation of the SC circuit. Only when the capacitance deviation is large, the output of the PUF is selected for use. The proposed strong SC PUF circuit is fabricated and verified using HJ standard 0.18-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS process. Measured results show that after using the BIST strategy, the bit error rate is less than <inline-formula> <tex-math notation="LaTeX">$10^{-9}$ </tex-math></inline-formula> when the ratio of the selected responses is 19.6% for the PUF instances in our test.
Convolutional Deep Belief Network with Feature Encoding for Classification of Neuroblastoma Histological Images

Background: Neuroblastoma is the most common extracranial solid tumor in children younger than 5 years old. Optimal management of neuroblastic tumors depends on many factors including histopathological classification. The gold standard for classification of neuroblastoma histological images is visual microscopic assessment. In this study, we propose and evaluate a deep learning approach to classify high-resolution digital images of neuroblastoma histology into five different classes determined by the Shimada classification. Subjects and Methods: We apply a combination of convolutional deep belief network (CDBN) with feature encoding algorithm that automatically classifies digital images of neuroblastoma histology into five different classes. We design a three-layer CDBN to extract high-level features from neuroblastoma histological images and combine with a feature encoding model to extract features that are highly discriminative in the classification task. The extracted features are classified into five different classes using a support vector machine classifier. Data: We constructed a dataset of 1043 neuroblastoma histological images derived from Aperio scanner from 125 patients representing different classes of neuroblastoma tumors. Results: The weighted average F-measure of 86.01% was obtained from the selected high-level features, outperforming state-of-the-art methods. Conclusion: The proposed computer-aided classification system, which uses the combination of deep architecture and feature encoding to learn high-level features, is highly effective in the classification of neuroblastoma histological images.
Ethics Education in Australian Preservice Teacher Programs: A Hidden Imperative?

This paper provides a snapshot of the current approach to ethics education in accredited Australian pre-service teacher programs. Methods included a manual calendar search of ethics related subjects required in teacher programs using a sample of 24 Australian universities and a survey of 26 university representatives. Findings show a paucity of required standalone ethics subjects in the pre-service teacher training programs despite recent accreditation requirements by AITSL. When analysed by program type, the prevalence of an ethics related subject requirement in pre-service teacher programs revealed a concerning trend; post graduate programs, as a general rule, had a much lower prevalence of a mandatory ethics-related subject, including those subjects which are traditionally used as vehicles for embedding ethics, such as the Foundations of Education. Notwithstanding, all respondents agreed that the value of ethics in pre-service teacher programs is irrefutable. Implications for further research are discussed.
Effect of Ionized Calcium Level on the Prognosis and Mortality of Patients with Pulmonary Embolism

Objective: The aim of this study was to investigate the effect of ionized calcium level on the prognosis and mortality of patients with pulmonary embolism. Materials and method: A total of 165 patients over 18 years of age, who had been hospitalized due to pulmonary embolism were retrospectively evaluated. A significant relation was determined between mortality and low systolic blood pressure (p<0.05), low diastolic blood pressure (p<0.05) and tachycardia (p<0.05). The relation between mortality and high levels of urea (p<0.05), creatinine (p<0.05), d-dimer (p<0.05), CK-MB (p<0.05), troponin (p<0.05) and lactate (p<0.05) was also significant. The relation between mortality and duration of intensive care unit stay (p<0.05), hospital stay (p<0.05) and duration of mechanical ventilation (p<0.05) was also significant, whereas no relation was determined between the ionized calcium level and mortality (p=0.154). However, a significant relation was determined between the high level of ionized calcium and duration of mechanical ventilation (p=0.019). Additionally, the relation between right bundle branch block in ECG and mortality was found to be significant (p<0.05). Conclusion: Although no direct relation was determined between the level of ionized calcium and mortality in pulmonary embolism, it may be useful in predicting the duration of mechanical ventilation.
Attractive versus repulsive excitonic interactions of colloidal quantum dots control blue- to red-shifting (and non-shifting) amplified spontaneous emission

Tunable, high-performance, two-photon absorption (TPA)-based amplified spontaneous emission (ASE) from near-unity quantum efficiency colloidal quantum dots (CQDs) is reported. Besides the absolute spectral tuning of ASE, the relative spectral tuning of ASE peak with respect to spontaneous emission was shown through engineering excitonic interactions in quasi-type-II CdSe/CdS core/shell CQDs. With core–shell size adjustments, it was revealed that Coulombic exciton–exciton interactions can be tuned to be attractive (type-I-like) or repulsive (type-II-like) leading to red- or blue-shifted ASE peak, respectively, and that nonshifting ASE can be achieved with the right core–shell combinations. The possibility of obtaining ASE at a specific wavelength from both type-I-like and type-II-like CQDs was also demonstrated. The experimental observations were supported by parametric quantum-mechanical modeling, shedding light on the type-tunability. These excitonically engineered CQD-solids exhibited TPA-based ASE thre.
Efficient Decentralized Attribute-Based Encryption with Outsourced Computation for Mobile Cloud Computing

Multi-authority attribute-based encryption (ABE) is regarded as one of the most promising techniques to handle the problem of the access control of shared data because it provides fine-grained access control of encrypted data in cloud storge. However, most existing multi-authority ABE schemes suffer from expensive computational cost on the user side, which increases with the complexity of access structures. In this paper, we present a novel large universe decentralized ABE scheme with outsourced encryption and decryption based on the multi-authority system for mobile cloud computing. A majority of complex and expensive computation operations are migrated to the encryption and decryption proxy server respectively, so we can minimize the computation overhead for the data users simultaneously. The theoretical analysis indicates that our scheme is correct with static security in the random oracle model. Furthermore, the analytical comparison and extensive experimental results demonstrate that our scheme is efficient.
Networks: Elucidating Experimental Data by Differential Protein-Protein Interactions

Recently, the pathogenesis of coronary atherosclerosis a primary cause of cardiovascular disease – studied in a swine model has been investigated by considering in particular the effects of a high cholesterol diet lasting 8 or 16 weeks [1]. The proposed systems medicine approach integrating data of plasma adhesion molecules, cytokines, lipoproteins, tissue proteins and histology allowed for an assessment of their relationships with artery-specific proteins. We send the reader to the seminal paper for experimental and computational details, and also data collection modalities. While macrophage-related proteins were found significantly and positively associated to the atherogenesis-inflammatory disorder, the study of protein connectivity patterns remains to be investigated. This is also a relevant step, because such type of evidence synthesis could lead to signatures of markers. Through the popular tool STRING [2], we aim to inspect protein-protein interaction networks (PIN), i.e. whether they can generate interpretable and testable hypotheses in such a complex experimental context with potential clinical impact.
Accurate and Diverse Recommendations Using Item-Based SubProfiles

In many approaches to recommendation diversiﬁcation, a recommender scores items for relevance and then re-ranks them to balance relevance with diversity. In intent-aware diversi-ﬁcation, diversity is formulated in terms of coverage of aspects, where aspects are either explicit such as movie genres or implicit such as the latent factors found during matrix factorization. Typically, the same set of aspects is used across all users. In this paper, we propose a form of intent-aware diversiﬁcation, which we call SPAD (SubProﬁle-Aware Di-versiﬁcation), and a variant called RSPAD (Relevance-based SPAD). The aspects we use in SPAD and RSPAD are subpro-ﬁles of the user’s proﬁle. They are not deﬁned in terms of explicit or implicit features. We compare our methods to other forms of intent-aware diversiﬁcation. We ﬁnd that SPAD and RSPAD always improve accuracy (as measured by precision) and diversity (as measured by α -nDCG) even though the diversity metric in our experiments uses explicit features but SPAD and RSPAD make no use of them.
Striatal action-value neurons reconsidered

It is generally believed that during economic decisions, striatal neurons represent the values associated with different actions. This hypothesis is based on a large number of studies, in which the neural activity of striatal neurons was measured while the subject was learning to prefer the more rewarding action. Here we show that these publications are subject to at least one of two critical confounds and that most are subject to both. First, we show that even weak temporal correlations in the neuronal data may result in an erroneous identification of action-value representations. We demonstrate this by erroneously identifying action-value representations, both in simulations and in the neural activity recorded in unrelated experiments. Second, we show that the experiments and analyses designed to dissociate action-value representation from the representation of other decision variables cannot do so. Specifically, we show that neurons representing policy may be erroneous identified as representing action-values. We suggest different solutions to identifying action-value representation that are not subject to these confounds. Applying one of these solutions to previously identified action-value neurons in the basal ganglia we fail to detect action-value representations there. Thus, we conclude that the claim that striatal neurons encode action-values must await new experiments and analyses.
Low prevalence of relevant findings in inappropriate echocardiograms and discordant perceptions between cardiologists and patients

Complementary examinations are “inadequate” whenever the likelihood of benefits from their indication is lower than the negative results. The low benefit is a result of poor performance in detecting relevant changes that lead to improved behavior. However, inadequate examinations are prevalent and little is known about patients' notions of the usefulness of such indications. The aim of this study was to describe relevant findings in inappropriate echocardiograms and to assess the level of agreement between patients and cardiologists regarding their usefulness. Adults without known cardiovascular disease who were referred for echocardiogram by inappropriate criteria according to the American College of Cardiology were selected. Relevant findings were defined by any change in the degree of moderate to severe, according to the American Society of Echocardiography. We tested the level of agreement between the patients who underwent echocardiographic examination and the physicians who requested the exam through a standard questionnaire. Five hundred patients were included, with average age of 52±17 years (47% males). Only 17 patients had any relevant changes (3.4%, 95%CI=2 to 5.4%). The most frequent alterations included valve changes in 8 and diastolic dysfunction grade II in 6 patients. Eighty-seven examinations were performed to determine the level of agreement between patients and cardiologists. For the question “Is this test really necessary? ”, 92% of patients responded positively, compared with 5% of cardiologists (Kappa negative 0.04; P=0.01). The frequency of relevant findings was low in inadequate echocardiograms and patients and cardiologists had a different perception regarding its usefulness.