Miracle-dz/UniFAR-FTUs huggingface dataset:
Vocal Imitation Set: a dataset of vocally imitated sound events using the AudioSet ontology

Query-By-Vocal Imitation (QBV) search systems enable searching a collection of audio files using a vocal imitation as a query. This can be useful when sounds do not have commonly agreed-upon textlabels, or many sounds share a label. As deep learning approaches have been successfully applied to QBV systems, datasets to build models have become more important. We present Vocal Imitation Set, a new vocal imitation dataset containing 11, 242 crowd-sourced vocal imitations of 302 sound event classes in the AudioSet sound event ontology. It is the largest publicly-available dataset of vocal imitations as well as the first to adopt the widely-used AudioSet ontology for a vocal imitation dataset. Each imitation recording in Vocal Imitation Set was rated by a human listener on how similar the imitation is to the recording it was an imitation of. Vocal Imitation Set also has an average of 10 different original recordings per sound class. Since each sound class has about 19 listener-vetted imitations and 10 original sound files, the data set is suited for training models to do fine-grained vocal imitation-based search within sound classes. We provide an example of using the dataset to measure how well the existing state-of-the-art in QBV search performs on fine-grained search.
Distilling materially the immaterial ’ : The variation of the ( subjective ) spatial knowledge of children and youngsters within the re-figuration of spaces

The paper problematises one of the main “methodological axes” of a research project that analyses the notion of (subjective) spatial knowledge of both children and teenagers (see, inter alia, Piaget and Inhelder, 1967; Hart and Moore, 2017 [1973]; Lynch, 1977; Ward, 1977; Tonucci, 1996; Chawla, 2002) framed in the process of re-figuration of spaces. The starting theoretical assumption of such phenomenon is that the transformation of the social order becomes particularly clear when looking at the (re)structuring of spaces. Spaces, thus, are understood as relational arrangements of actors, objects and technologies – both placed and placing. These arrangements, moreover, are based on two analytically distinct social processes that synthesise specific practices of placing, referred to as spacing. Social changes are constantly leading to new forms of synthesising spaces and new dynamics of spacing, which, in turn, results in the spatial reorganisation of societies. Given that this process of rearranging and restructuring is, on the one hand, described from the perspective of the spatial and, on the other, regarded as fundamentally social and relational in nature, it is analysed as “re-figuration of spaces” (Knoblauch and Löw, 2017: 3-6).
Application of Monte-Carlo Tree Search to Traveling-Salesman Problem

This paper shows an application of Monte-Carlo Tree Search (MCT) to Traveling-Salesman Problem (TSP). Compared with the simulated annealing, which is one of the general probabilistic optimization methods, MCT has very high ability of optimization with problem-aware implementation. Its efficiency is confirmed, empirically.
A mixed-integer optimization approach to an exhaustive cross-validated model selection for regression

We consider a linear regression model for which we assume that many of the observed regressors are irrelevant for the prediction. To avoid overfitting, we conduct a variable selection and only include the true predictors for the least square fitting. The best subset selection gained much interest in recent years for addressing this objective. For this method, a mixed-integer optimization problem is solved, which finds the optimal subset not larger than a given natural number k concerning the insample error. In practice, a best subset selection is computed for each k, and the ideal k is then chosen via a validation. We argue that the notion of the best subset selection might be misaligned with the statistical intention. Instead, we propose a subset selection formulation based on the cross-validation loss function. We present a discrete optimization formulation which fits coefficients to training data and decides to inor exclude variables to minimize the cross-validation error. Hence, we do not require a fixed sparsity bound and do not have to solve successive discrete optimization problems.Moreover, we present bounds for the regression coefficients, which allows us to construct a tighter mixed-integer formulation. Finally, we conduct a simulation study and provide evidence that the After the author (Dennis Kreber) handed in his dissertation (Kreber 2019) on February 8th 2019 he was made aware of a preprint by Takano andMiyashiro (2019). They propose a very similar approach to variable selection, which was also developed in the dissertation. In addition to these results, a major part of the work presented here is finding novel bounds to strengthen the formulation so that the resulting program can be solved faster. D. Kreber Trier University Department of Mathematics Universitätsring 15, 54296 Trier Germany Tel. : +49-651-201-3452 E-mail: kreberd@uni-trier.de
Factors influence trust and relationship commitment toward long-term orientation between manufacturer and distributor

The research purposes to (a) evaluate the implementation of long-term orientation between PT XYZ and its distribution channels and (b) analyze the relationship among trust, relationship commitment and its effect on long-term orientation. This study is involving 33 non-authorized tire shops and have cooperated for more than 15 years. The data are obtained through a questionnaire designed with closed questions with 5-point Likert scale and to be analyzed by structural equation modeling with approach of partial least square (PLS-SEM).
Detection of pathogenic bacteria in a mussel farming area by multiplex PCR

To detect Aeromonas hydrophila, Salmonella typhimurium, Vibrio cholerae, V. parahaemolyticus and V. vulnificus in Mediterranean mussels (Mytilus galloprovincialis) and water samples, conventional and molecular methods were used. Samples were collected from Faro Lake (Italy), from April to September 2008. The simultaneous detection of the five pathogens was performed by a multiplex PCR (m-PCR) on DNA extracted from enrichment cultures of the samples. The aerolysin gene (aero) of A. hydrophila, the invasion plasmid antigen B (ipaB) gene of S. typhimurium, the enterotoxin extracellular secretion protein (epsM) gene of V. cholerae, the species-specific region of 16S rDNA gene of V. vulnificus, the speciesspecific pR72H conservative fragment of V. parahaemolyticus and the thermostable direct haemolysin (tdh) gene for the detection of pathogenic V. parahaemolyticus were used as the gene targets. A. hydrophila gene was detected in water sample in April. The gene of S. typhimurium was found in mussels from June to September and in water in April and from July to September. V. cholerae gene was detected in April and in September in mussels and only in September in water. Mussels collected in June and September and water collected in May were positive for V. vulnificus. V. parahaemolyticus species-specific gene was detected in all samples, while the tdh gene was targeted in V. parahaemolyticus isolates and enrichment from mussels of September. The occurrence of pathogens in samples was independent to Escherichia coli counts. The sensitivity of the m-PCR was higher than that observed by using the conventional isolation procedures. Multiplex PCR assay may provide a useful tool for rapid and specific detection of pathogens in mussels and water to protect human health.
XVA analysis from the balance sheet

XVAs denote various counterparty risk related valuation adjustments that are applied to financial derivatives since the 2007–2009 crisis. We root a cost-of-capital XVA strategy in a balance sheet perspective which is key to identifying the economic meaning of the XVA terms. Our approach is first detailed in a static setup that is solved explicitly. It is then plugged into the dynamic and trade incremental context of a real derivative banking portfolio. The corresponding cost-of-capital XVA strategy ensures for bank shareholders a submartingale equity process corresponding to a target hurdle rate on their capital at risk, consistently between and throughout deals. Set on a forward/backward SDE formulation, this strategy can be solved efficiently using GPU computing combined with deep learning regression methods in a whole bank balance sheet context. A numerical case study emphasizes the workability and added value of the ensuing pathwise XVA computations.
A . Boscaggin POSITIVE PERIODIC SOLUTIONS TO NONLINEAR ODES WITH INDEFINITE WEIGHT : AN OVERVIEW

We discuss the periodic problem associated with the second order differential equation (1) u λa t μa t g u 0, where λ,μ are positive parameters, a t is a sign-changing periodic function and g u is a nonlinear function having superlinear growth at zero and sublinear growth at infinity. More precisely, we show how various tools from Nonlinear Analysis and Dynamical Systems can be used to provide results about existence, multiplicity and chaotic dynamics of positive solutions to (1). This survey paper is based on a talk given by the author at the Bru-To PDE’s Conference (University of Torino, May 2-5, 2016).
Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations

Building socialbots that can have deep, engaging open-domain conversations with humans is one of the grand challenges of artificial intelligence (AI). To this end, bots need to be able to leverage world knowledge spanning several domains effectively when conversing with humans who have their own world knowledge. Existing knowledge-grounded conversation datasets are primarily stylized with explicit roles for conversation partners. These datasets also do not explore depth or breadth of topical coverage with transitions in conversations. We introduce Topical-Chat, a knowledge-grounded human-human conversation dataset where the underlying knowledge spans 8 broad topics and conversation partners don't have explicitly defined roles, to help further research in open-domain conversational AI. We also train several state-of-the-art encoder-decoder conversational models on Topical-Chat and perform automated and human evaluation for benchmarking.
Compendium of quality of life instruments

Part 1 General quality of life assessment instruments. Part 2 Disease specific quality of life assessment instruments: anxiety and depression stress arthritis and musculoskeletal diseases - back pain joint disease osteoarthritis rheumatoid arthritis spondylitis cancer - bone marrow transplantation breast cancer lung cancer nasopharyngeal carcinoma radiation therapy cardiovascular diseases - hypertension cerebrovascular and other vascular diseases - stroke varicose veins dementia endocrine diseases - diabetes gastrointestinal diseases: dyspepsia inflammatory bowel disease peptic diseases HIV/AIDS: anorexia cachexia hospice and palliative care - pain terminal care neurological diseases: epilepsy multiple sclerosis Parkinson's Disease psychosocial and mental disorders: hopelessness mood states need assessment patient attitude patient satisfaction pleasure psychosocial adjustment psychosocial behaviour and functioning psychiatric disorders rehabilitation - activities of daily living functional independence renal diseases: kidney disease end stage renal disease respiratory diseases - asthma dyspnea obstructive pulmonary disease. Part 3: Specific groups' quality of life assessment instruments - caregivers - informal caregivers children: depression functional independence psychological health and well-being elderly - activities of daily living women - menopause menorrhagia pregnancy. Part 4 Economic specific quality of life indices.
Stream Flow Simulation using SVM , ANFIS and NAM Models ( A Case Study )

1 MSc Graduate of Watershed Management, University of Zabol, Zabol, Iran 2 Associate Professor of Mountain and Arid Regions Reclamation Department, Faculty of Natural Resources, University of Tehran, Karaj, Iran 3 Assistant Professor of Civil Engineering Department, Isfahan University of Technology, Isfahan, Iran 4 Department of Hydraulic and Hydrology, Universiti Teknologi Malaysia, Johor, Malaysia 5 Natural Resources and Watershed Organization of Charmahal Bakhtiyari Province, Charmahal Bakhtiyari, Iran *Corresponding Author: a.moghaddamnia@ut.ac. ir
Polybivalency and Disordered Proteins in Ordering Macromolecular

Intrinsically disordered proteins (IDPs) are prevalent in macromolecular assemblies and are thought to mediate protein recognition in complex regulatory processes and signaling pathways. The formation of a polybivalent scaffold is a key process by which IDPs drive early steps in macromolecular assemblies. Three intrinsically disordered proteins, IC, Swallow and Nup159, are core components, respectively, of cytoplasmic dynein, bicoid mRNA localization apparatus, and nuclear pore complexes. In all three systems, the hub protein LC8 recognizes on the IDP, short linear motifs that are fully disordered in the apo form, but adopt a -strand when bound to LC8. The IDP/LC8 complex forms a bivalent scaffold primed to bind additional bivalent ligands. Scaffold formation also promotes self-association and/or higher order organization of the IDP components at a site distant from LC8 binding. Rigorous thermodynamic analyses imply that association of additional bivalent ligands is driven by entropic effects where the first binding event is weak but subsequent binding of additional ligands occurs with higher affinity. Here, we review specific examples of macromolecular assemblies in which polybivalency of aligned IDP duplexes not only enhances binding affinity and results in formation of a stable complex but also compensates unfavorable steric and enthalpic interactions. We propose that polybivalent scaffold assembly involving IDPs and LC8-like proteins is a general process in the cell biology of a class of multi-protein structures that are stable yet fine-tuned for diverse cellular requirements.
EFFECTS OF MORPHOLOGICAL STRUCTURE ON INTERGESTURAL TIMING IN DIFFERENT PROSODIC-STRUCTURAL CONTEXTS IN KOREAN

This EMA study explores effects of morphological structure on intergestural timing in different prosodicstructural contexts in Korean by examining articulatory realization of homophonous pairs of different underlying morphological structures (tautomorphemic (C1)V1C2V2 vs. heteromorphemic (C1)V1C2+V2, where ‘+’=a morpheme boundary). The intergestural timing of C2V2 was found to be more stable in C2V2 than in C2+V2 in all prosodic contexts. The morphological effect was also observed with V1C2 timing. It was more stable in (C1)V1C2+V2 than in (C1)V1C2V2, which was augmented under focusinduced prominence. This indicates that the intergestural timing of V1-to-C2 gesture became more stabilized when C2 is underlyingly syllabic-coda as in the hetero-morphemic condition ((C1)V1C2+V2). The observed stability difference as a function of morphological structure and its interaction with prominence was consistent phrase-initially and phrase-medially, though with some degree of difference. The results demonstrate that gestures are coordinated in reference to the interaction between underlying morphological structure and prosodic structure.
Expressiveness Influences Human Vocal Alignment Toward voice-AI

This study explores whether people align to expressive speech spoken by a voice-activated artificially intelligent device (voice-AI), specifically Amazon’s Alexa. Participants shadowed words produced by the Alexa voice in two acoustically distinct conditions: “regular” and “expressive”, containing more exaggerated pitch contours and longer word durations. Another group of participants rated the shadowed items, in an AXB perceptual similarity task, as an assessment of overall degree of vocal alignment. Results show greater vocal alignment toward expressive speech produced by the Alexa voice and, furthermore, systematic variation based on speaker gender. Overall, these findings have applications to the field of affective computing in understanding human responses to synthesized emotional expressiveness.
Diagnostic Value of Serum Heat Shock Protein 70 in Hepatocellular Carcinoma Patients

Background and study aim: Hepato-cellular carcinoma (HCC) is the commonest essential hepatic threat among adult. Nowadays, the HCC determination without obsessive relationship is done by imaging methods. To elucidate the role of heat shock protein 70(HSP70) in the diagnosis of HCC. Subjects and Methods: This case control study was achieved in Internal Medicine and Clinical Pathology Departments, Zagazig University, Egypt. It involved 99 participants divided into three groups; control group, cirrhotic patients and cirrhotic patients with HCC. Participants underwent complete history taking, comprehensive clinical examination, laboratory investigations including viral markers and alpha-fetoprotein. HSP 70 level was calculated via the enzyme-linked immunosorbent assay (ELISA) technique. Radiological investigations including abdominal ultrasonography and triphasic CT scan were done. Results: There was a non-significant difference between the studied groups concerning demographic characteristics. There was a significant difference between them regarding hemoglobin, platelet count, liver and kidney function tests and coagulation profile(p<0.05). Also, there was a significant difference between them as regards HSP 70, and AFP with the maximum values in HCC group. HSP 70 at cutoff ≥120 ng/ml can diagnose HCC at sensitivity 85%, specificity 50%, and accuracy 84% (p<0.05). AFP at cutoff ≥20 ng/ml can recognize HCC with sensitivity 87.5%, specificity 75.8% and accuracy 89%. Combined HSP 70 and AFP increase the sensitivity of diagnosis at 91.5% and accuracy to 93%. Conclusion: HSP 70 as a serum biomarker can be used with AFP to increase the accuracy of HCC diagnosis.
JAPANESE EMOTIONAL SPEECH PRODUCED BY CHINESE LEARNERS AND JAPANESE NATIVE SPEAKERS : DIFFERENCES IN PERCEPTION AND VOICE QUALITY

The present study leverages L2 learner data to contribute to the debate whether the perception and production of emotions is universal vs. languagespecific. Japanese native speakers and Chinese learners of L2 Japanese were recorded producing single-word Japanese utterances with seven emotions. A different set of listeners representing the same two groups were then asked to identify the emotion produced in each token. Results suggest that identification accuracy was highest within groups (i.e., for learner+learner and for native+native). Furthermore, more confusions were observed in Japanese native speech, e.g., with 'angry' vs. 'disgusted' confused for Japanese native, but not Chinese learner, productions. Analyses of the electroglottography signal suggest these perception results stem from crosslinguistic differences in the productions themselves (e.g., Chinese learners using a tenser glottal configuration to distinguish 'angry' from 'disgusted'). Taken together, these results support the hypothesis that the encoding and recognition of emotions does indeed depend on L1 background.
Effect of Different Densities of Trichogramma Chilonis ( Ishii ) against Lepidopteran Pests on Tomato

An experiment was conducted to determine the effect of different densities of Trichogramma chilonis against lepidopteran pests on tomato against Fruit borers as an IPM strategy for pest control was carried out at farm field Hanif Jamali Farm near Tajpur, Tando Allahyar from February-May, 2012. Tomato “Hybrid-1359” variety was grown in a Randomized Complete Block Design (RCBD) on area of 11⁄2 acre. The plot was divided into three (3) sub-plots, each comprised of 1⁄2 acre. Different Densities of Trichogramma chilonis i-e at 2500, 5000 and 10000 per plot were released against H. armigera at fortnightly intervals randomly. The results of present study reveal that maximum pre-treatment population of fruit borers appeared on tomato fruits in 1st week of February and increased gradually and reached to Imran Ali Rajput, Khalid Hussain Qureshi, Tarique Ahmed Khuhro, Rab Dino Khuhro, Shahzad Haroon Khanzada, Imtiaz Ali LasharioEffect of Different Densities of Trichogramma Chilonis (Ishii) against Lepidopteran Pests on Tomato EUROPEAN ACADEMIC RESEARCH Vol. II, Issue 10 / January 2015 13495 its peak (4.08) per plant in May in control plot was higher than all the treated released plots and minimum population was recorded in T1 with (5.41 ± 1.16) per plant. The results further indicated that maximum mean population reduction (2.47±0.52) was recorded in T1 followed by (1.98±0.46) and (1.22±0.36) in T3. In treated released plots minimum population per plant were recorded as compared to control plot with (3.43±0.61) per plant. Furthermore, the study also indicated that maximum monthly reduction of borers population was recorded in T1 with (5.41 ± 1.16) followed by T2 and T3 with (4.46 ± 1.05) and (2.76 ± 0.83) respectively. However, minimum reduction (7.66 ± 1.38) was recorded in control (T4) plot. The LSD tests further confirmed that two separate groups A and B were formed indicating variation in control and released time intervals. However, the treatments among themselves were non-significant. The mean population of have positive correlation (r2 = 0.3803) with temperature, as well as the relative humidity % also showed positive correlation (r2 =-0.0599) with fruit borers population.
Sustainability and Management of Water Resources in Hordeum vulgare Agro-Ecosystems in Relation to the Allelopathic Effect of Retama raetam

Botany Department, Faculty of Science, Damanhour University, Damanhour, Egypt Botany and Microbiology Department, Faculty of Science, Alexandria University, Alexandria, Egypt Botany Departments, Faculty of Arts and Sciences, Elmarj, Benghazi University, Libya *Corresponding Author Email: salama_eldarier@yahoo.com The main objective of the present study was to manage water as a natural resource in Hordeum vulgare agro-ecosystems depending on the allelopathic potential of Retama raetam shoots aqueous extract (RRSAE). germination percentage (GP), coleoptile (CL) and radicle lengths (RL) of the recipient species significantly increased under the allelopathic effect of RRSAE relate to control. The highest values (99%, 12.8 cm and 12.4 cm) were achieved at 3% concentrations level relative to the three parameters respectively compared to control. Furthermore, the effect of R. raetam shoots crude powder (RRSCP) on some growth parameters (number of tillers, spikes, grains spike -1 and grains plant -1 ) as well as shoot dry weight, grains yield and grain harvest index of H. vulgare was evaluated. Results showed that the highest values were achieved at 3% concentration levels of RRSCP and 25% field capacity (low water field capacity) compared to the control. Phenolic derivatives (mg/kg DW) (especially catechin) of H. vulgare seedling was increased under the lowest water field capacity (25%) at 3% concentration level of RRSCP. Such increase initiatives stimulation in all studied growth parameters with adequate amount of water that help in conservation and management of water as a natural resource in agro-