Miracle-dz/UniFAR-FTUs huggingface dataset:
Peculiarities of Selected Sport Performance in Women Olympic Handball

Research background and hypothesis. Sport contest model is the main indicator of athletes’ sport performance, which allows defining sports trends in general, predicting sports results and also designing directions for training. Research aim was to determine the alteration of goals (as a key indicator) scored by women in Olympic handball in order to carry out trends of modern women handball. Research methods. Data sets were gathered from the International Handball Federation (EHF) website (http:// www.ihf-info.com) covering Olympic Games since Montreal (1976) till London (2012). The data was used from all 248 matches. Statistically significant differences between the independent samples were determined using Student’s t-values of the criterion of a 95% significance level. Research results. In the period of 36 years women’s handball has become more dynamic as teams scored 10.2 goals more in London (25.1 ± 4.5) than in Montreal (14.9 ± 7.4). Teams representing the continent of Europe (23.3 ± 4.2) scored 2.2 goals more on average than teams from other continents (21.1 ± 6.1) during the Olympics. Though the mastery of European teams was better than that of others, the South Korean team, representing the Asian continent, is the first in the rating ranks scale. Discussion and conclusions. Referring to the differences between scored and missed goals by teams which were less compared Montreal and London Olympic Games we suggest that the mastership of women’s handball is going up and becoming more equal. The phenomenon of South Korean team has allowed to state that the final results in modern women’s handball might be determined not only by the body composition but by other indices of a team or of an individual player’s fitness as well.
Using EGM2008 Gravity Data for Mapping and Detecting Structural Subsurface Anomalies in the Mayo-Kani Division (Cameroon)

To resolve the problem of gravity mapping in the Mayo-Kani Division, we extracted a sample of data from the high-resolution Bouguer anomaly database EGM2008. The objective of this process was to map and detect subsurface anomalies in the region. Regional-residual separation was applied to the data using a third-order polynomial fit. This separation enables to obtain regional and residual maps. Other filtering actions, such as horizontal and vertical derivatives, have been applied to the data to enhance sources of anomalies in the study area. The residual map of the study area was superimposed on the geological map to delineate and interpret the correlation with the shallow geological structures. The main sources of residual gravity anomalies have been recognized. The interpretation of the derived maps revealed the N-S, E-W, NE-SW and NW-SE structural patterns. These trends have been associated with the major structural directions observed in the Far North Cameroon region. The Euler Deconvolution allowed the detection of sources of anomalies and to determine their depths. The fracture map obtained from this method has improved knowledge on the search for buried ores and the geological structures associated with oil and gas deposits. Overall, the generated gravity maps provided a better understanding of the Mayo-Kani geological setting.
Localized rotating convection with no-slip boundary conditions

Localized patches of stationary convection embedded in a background conduction state are called convectons. Multiple states of this type have recently been found in two-dimensional Boussinesq convection in a horizontal fluid layer with stress-free boundary conditions at top and bottom, and rotating about the vertical. The convectons differ in their lengths and in the strength of the self-generated shear within which they are embedded, and exhibit slanted snaking. We use homotopic continuation of the boundary conditions to show that similar structures exist in the presence of no-slip boundary conditions at the top and bottom of the layer and show that such structures exhibit standard snaking. The homotopic continuation allows us to study the transformation from slanted snaking characteristic of systems with a conserved quantity, here the zonal momentum, to standard snaking characteristic of systems with no conserved quantity.
To compare perinatal outcome in normal and high risk (Oligo & Poly) pregnancies

Objective: This study was to Compare Perinatal Outcome in Normal and High Risk (Oligo & Poly) Pregnancies, conducted in the Department of Obstetrics and Gynaecology, Amaltas Institute of Medical Sciences, Dewas (M.P.) Result: Among total patients 300, at the end of 01 min the Apgar score 50.5 of oligohydramnios and 57.1 ployhydramnios whereas at the end of 05 min the score has improved and 24.2% of oligohydramnios and 28.6% of ployhydramnios seen to have Apgar score of<7.Chi Square Test Applied P-value-0.00 (p value<0.05 significant at 95% confident intervals) Significant correlation of SGA fetus with oligohydramnios which are associated with 50.2% of SGA fetus. Total patients among AFI abnormalities is 283, Normal - 88(31.1%), Oligo 183(64.6%) & Poly 12(4.3%). Conclusion: Low AFI specifically <5cmandabnormal color Doppler were significantly associated with adverse perinatal outcome in terms of low Apgar score and increased NICU admission, IUGR fetus. But Antepartum Oligohydramnios seen to have intrapartum fetal heart rate abnormalities causing fetal distress leading to increased cesarean section and adverse perinatal outcome in terms of MSL. Also Severe polyhydramnios i.e., >35cm is associated with adverse outcomes including prematurity, SGA, low 5-min Apgar score, prenatally diagnosed congenital anomalies and perinatal mortality. These cases require intensive fetal surveillance and proper antepartum and intapartum fetal monitoring in order to improve fetal outcome.
How does the Ambience of Cafe Affect the Revisit Intention Among its Patrons? A S on the Cafes in Ipoh, Perak

Food service industry is growing rapidly as a result of the changing consumer lifestyle. The food service industry is highly competitive due to the increasing number of new entrants offering inventive food products and services. In order to be outstanding in such competitive industry, retailers nowadays opt to emphasize on their store environment. Past studies discovered that store environment stimulates emotions that significantly boost customer revisit intention. As a result, retailers attempt to differentiate their store by combining various environmental stimuli to create an attractive ambience that will in turn draw in the customers. Hence, this study attempts to investigate the impact of various cafe ambience factors on the patrons’ revisit intention. The patrons of cafes in Ipoh, Perak were selected using purposive sampling technique to be the respondents of this study. 250 questionnaires were collected and Partial Least Square technique was used to analyse the data collected. Findings show that all the five factors of cafe ambience namely lighting, music, decoration, cleanliness and layouts were significantly influencing the patrons’ revisit intention. Of these five factors, lighting was most influential while music was the least influential in affecting the patrons’ revisit intention. Accordingly, this study lists several recommendations for practitioners and academics with regards to the store environment and its impact on the repurchase intention.
A Topical Word Embeddings for Text Classification

This paper presents an approach that uses topic models based on LDA to represent documents in text categorization problems. The document representation is achieved through the cosine similarity between document embeddings and embeddings of topic words, creating a Bag-of-Topics (BoT) variant. The performance of this approach is compared against those of two other representations: BoW (Bag-of-Words) and Topic Model, both based on standard tf-idf. Also, to reveal the effect of the classifier, we compared the performance of the nonlinear classifier SVM against that of the linear classifier Naive Bayes, taken as baseline. To evaluate the approach we use two bases, one multi-label (RCV-1) and another single-label (20 Newsgroup). The model presents significant results with low dimensionality when compared to the state of the art.
Molecular cloning and characterization of class I NFk B transcription factor from pearl oyster ( Pinctada fucata )

NF-kB transcription factors play central roles in many important physiological and pathological processes including innate immune responses. Here we report the cloning of an NF-kB transcription factor, PfRelish from pearl oyster Pinctada fucata, one of the most important bivalve mollusks for seawater pearl production. PfRelish full-length cDNA is 3916 bp with an open reading frame of 3558 bp encoding a putative protein of 1186 amino acids. The deduced PfRelish contains a N-terminal RHD, a nucleus localization signal, an IkB-like domain with six ankyrin repeats and a death domain at the C-terminus, which is similar to class I NF-kB transcription factors. Comparison and phylogenetic analysis revealed that class I NF-kBs in mollusks including PfRelish might have most distant relationship to the arthropod Relish. Further expression analysis showed that PfRelish was apparently upregulated after Vibrio alginolyticus injection, which suggested that PfRelish was involved in the immune response to V. alginolyticus. 2012 Elsevier Ltd. All rights reserved.
On the second variation of the Graham-Witten energy

The area renormalization procedure gives an invariant of even-dimensional closed submanifolds in a conformal manifold, which we call the Graham-Witten energy, and it is a generalization of the classical Willmore energy. In this paper, we obtain an explicit formula for the second variation of this energy at minimal submanifolds in an Einstein manifold. As an application, we prove that the even-dimensional totally geodesic spheres in the unit sphere are critical points of the Graham-Witten energy with non-negative second variation.
Machine-Learning Based Congestion Estimation for Modern FPGAs

Avoiding congestion for routing resources has become one of the most important placement objectives. In this paper, we present a machine-learning model for accurately and efficiently estimating congestion during FPGA placement. Compared with the state-of-the-art machine-learning congestion-estimation model, our results show a 25% improvement in prediction accuracy. This makes our model competitive with congestion estimates produced using a global router. However, our model runs, on average, 291x faster than the global router.
Semileptonic decay of Bc meson into S wave charmonium in a QCD potential model with coulombic part as perturbation

We present the semileptonic decay of Bc meson in a QCD potential model with the coulombic part of the Cornell potential -4αs/3r+br+c as perturbation. Computing the slope and curvature of Isgur Wise function in this approach, we study the pseudoscalar and vector form factors for the transition of Bc meson to its S wave charmonium states. Numerical estimates of widths for the transitions of Bc→J|ψ(ηc)lv1 are presented.
A Review of Unquestioned Standards in Using Cluster Analysis for Data-Driven Market Segmentation

Clustering is a highly popular and widely used tool for identifying or constructing databased market segments. Over decades of applying cluster analytical procedures for the purpose of searching for homogeneous subgroups among consumers, questionable standards of utilization have emerged, e.g. the non-explorative manner in which results from cluster analytic procedures are reported, the black-box approach ignoring crucial parameters of the algorithms applied or the lack of harmonization of methodology chosen and data conditions. The purpose of this study is threefold: (1) to investigate whether and which standards of application of cluster analysis have emerged in the academic marketing literature, (2) to compare these standards of application to methodological knowledge about clustering procedures and (3) suggest changes in clustering habits. These goals are achieved by systematically reviewing 243 data-driven segmentation studies that apply cluster analysis for partitioning purposes.
Ultraviolet absorption cross sections of carbonyl sulfide isotopologues OC 32 S, OC 33 S, OC 34 S and O 13 CS: isotopic fractionation in photolysis and atmospheric implications

Abstract. We report measurements of the ultraviolet absorption cross sections of OC 32 S, OC 33 S, OC 34 S and O 13 CS from 195 to 260 nm. The OCS isotopologues were synthesized from isotopically-enriched elemental sulfur by reaction with carbon monoxide. The measured cross section of OC 32 S is consistent with literature spectra recorded using natural abundance samples. Relative to the spectrum of the most abundant isotopologue, substitution of heavier rare isotopes has two effects. First, as predicted by the reflection principle, the Gaussian-based absorption envelope becomes slightly narrower and blue-shifted. Second, as predicted by Franck-Condon considerations, the weak vibrational structure is red-shifted. Sulfur isotopic fractionation constants ( 33 e, 34 e) as a function of wavelength are not highly structured, and tend to be close to zero on average on the high energy side and negative on the low energy side. The integrated photolysis rate of each isotopologue at 20 km, the approximate altitude at which most OCS photolysis occurs, was calculated. Sulfur isotopic fractionation constants at 20 km altitude are (−3.7 ± 4.5)‰ and (1.1 ± 4.2)‰ for 33 e and 34 e, respectively, which is inconsistent with the previously estimated large fractionation of over 73‰ in 34 e. This demonstrates that OCS photolysis does not produce sulfur isotopic fractionation of more than ca. 5‰, suggesting OCS may indeed be a significant source of background stratospheric sulfate aerosols. Finally, the predicted isotopic fractionation constant for 33 S excess ( 33 E ) in OCS photolysis is (−4.2 ± 6.6)‰, and thus photolysis of OCS is not expected to be the source of the non-mass-dependent signature observed in modern and Archaean samples.
Adaptive Personalized Knowledge Graph Summarization

Knowledge graphs, which are rich networks of entities and concepts connected via multiple types of relationships, have gained traction as powerful structures for natural language understanding and question answering. Although recent research efforts have started to address efficient querying and storage of knowledge graphs, such methods are neither user-driven nor flexible to changes in the data, both of which are important in the real world. We thus introduce and motivate adaptive knowledge graph summarization to create small, personalized knowledge graphs that contain only the information most relevant to an individual user’s interests. Such concise summaries may be stored locally on mobile devices, allowing for fast interactive querying, and constantly updated to serve changing user needs and data evolution. In this position paper, we make a case for adaptive knowledge graph summarization, outlining promising approaches toward efficient, personalized knowledge graph management.
Adaptive blind audio signal separation on a DSP

Blind Source Separation (BSS) deals with the problem of separating independent sources from their observed mixtures only while both the mixing process and original sources are unknown. Examples of BSS algorithms employed in acoustical applications can be found among others in audio teleconferencing systems. This paper describes the main ideas and implementation of an Adaptive Blind Signal Separation algorithm. In order to make the real-time implementation feasible, the BSS algorithm is based on a simplified mixing model (SMM). The input signals are reconstructed by assuming that they are statistically uncorrelated and imposing this constraint on the signal estimates. The nonstationarity of the input signals is used to restrict the set of solutions. The system is realized on a TI TMS320C6701 DSP and is capable of separating two independent simultaneously occurring audio signals in an ordinary acoustic environment in real-time and in an adaptive way. Finally, the separation performance of the algorithm is evaluated using benchmarks downloaded from the web and own real-world recordings. Keywords—Blind Signal Separation, teleconferencing.
Phenolic Compounds and Antioxidant Properties of Thai rice Paddy Herb as Affected by Different Drying Temperature

The present study investigated the changes in color and the contents and compositions of bioactive compounds in rice paddy herbs as affected by air-drying with different temperature. Phenolic compounds and their antioxidant activities of L. aromatica and L. geoffrayi dried by hot-air (HA) oven and vacuum (VC) oven at different temperatures (50, 60, 70, and 80 °C) were evaluated. Overall, changes in the color value (ΔE) were increased with increasing of HA drying temperature, while the increasing temperature of VC drying method led to ΔE decreased. Rice paddy herbs dried with VC drying method had higher contents of 2,2diphenyl-1-picrylhydrazyl radical scavenging activities, ferric-reducing antioxidant power, total antioxidant capacity, total phenolic content (TPC) and total flavonoid content (TFC), compared with those dried with HA drying method. The TPC and TFC of samples dried by VC, the contents were increased when the drying temperature was increased from 50 to 70 °C but decreased at 80 °C. The most predominant phenolic was sinapic acid for all samples dried with temperature of 50-80 °C extract, ranged from 30-50 and 34-53 mg/g in HA dried L. aromatica and L. geoffrayi, respectively, and the VC dried L. aromatica and L. geoffrayi were 41-53 and 44-55 mg/g, respectively. Our results have demonstrated that VC drying at 70 o C should be considered as suitable drying method for rice paddy herbs with respect to preserving its color, antioxidant properties, and phenolic compounds.
A Cross-Distribution User Intention Identification Based on Topic Transfer

At present, in the field of financial science, so as to make intelligent recommendation, the potential financial intention is usually analyzed by the behavior patterns of users. However, due to the diversity of user’ behavior and distribution on different platforms, the feature of users’ financial behavior are also composed of weak features. In this paper, a cross-distributed user’ behavior recognition method based on topic transfer model is proposed. To training a transfer model with APP data in source domain, the model can weaken the influence of different distributions and recognize the intention of the target user. Finally, based on the user’s APP online data, we prove that the model based on topic transfer has better performance on cross-distributed data.
An Emotion-Aware Voice Portal

Felix Burkhardt*, Markus van Ballegooy*, Roman Englert**, Richard Huber***T-Systems International GmbH*, Deutsche Telekom Laboratories**, Sympalog Voice Solutions GmbH***Berlin / Erlangen, Germany{felix.burkhardt|markus.van-ballegooy}@t-systems.com,roman.englert@telekom.de, huber@sympalog.deAbstractThis article describes the development of a voice portal prototype that integrates the recog-nition of anger in the caller’s voice. Often users get frustrated by talking to machines and hangup without having the possibility to express their anger in some way. In order to handle thisproblem, we integrated an emotional recognizer in a standard-based voice portalIf anger is detected in the caller’s voice, the dialog manager component runs a conciliationstrategy by ﬁrst mirroring the caller’s mood and in a second step transferring the caller to ahuman agent.The system design is described and ﬁrst evaluation results reported.
Characterization of culturable bacterial flora in yolk-sac larvae of Atlantic halibut (Hippoglossus hippoglossus L.) with "gaping jaws" syndrome

One of the main problems facing Atlantic halibut hatcheries is the high mortality in the early stages of larval development. Several factors could be involved, for example: water quality, diseases or abnormalities, such as deformities occurring in the yolk sac larvae prior to exogenous feeding. The aim of this study was to identify differences in bacterial flora associated with yolk sac larvae with oral deformity. We also aimed to establish whether there is any relationship between bacterial strains and the "gaping jaws" syndrome. During our study, 74 bacterial isolates were obtained using three different nutrient media: Marine Agar, R2A and TCBS. Some of these bacteria were characterized using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) and 16S rRNA sequencing. The immune response in larvae exhibiting the "gaping jaws" condition was measured by real time PCR. Our results showed significant differences in bacterial flora between normal and gaping larvae. The gaping yolk sac larvae were predominantly colonized by members of the families Vibrionaceae and Flavobacteriaceae. Bacteria belonging to the Bacillus and Pseudoalteromonas genera were also present but less frequent. It was not possible to associate a type or group of bacteria directly related to "gaping". Strikingly, larvae with gaping jaws had an increase in the expression of two immune related genes, like hepcidin and chemokine (MIP-1s). These results indicate activation of the immune response in larvae with "gaping jaws" syndrome and this response could be related to bacteria isolated from gaping condition.
Cloud Removal in High Resolution Multispectral Satellite Imagery: Comparing Three Approaches

Clouds and cloud-shadow are a persistent problem in all optical satellite imagery. Plenty of methods have been suggested in the literature to address this problem, and reconstruct the missing part of the optical signal. In this work, three methods representative of different approaches to the cloud removal problem were compared. The first method is temporal fitting using Fourier series, which benefits from the temporal continuity of the signal. The second method uses sparse spectral unmixing to fill in the missing areas. The third method employs radiometric consistency as a tool to determine the missing part of the signal. These three methods were first presented and their theoretical background described, followed by a discussion of their implied assumptions and general performance. A set of experiments using Landsat 8 time series with diverse land cover types were conducted. The quantitative results of the three methods using simulated clouds are presented. Finally, some concluding remarks about the relative advantages of the three approaches are listed, in addition to some recommendations about their use.
In Situ Coherent X-ray Diffraction during Three-Point Bending of a Au Nanowire: Visualization and Quantification

The three-point bending behavior of a single Au nanowire deformed by an atomic force microscope was monitored by coherent X-ray diffraction using a sub-micrometer sized hard X-ray beam. Three-dimensional reciprocal-space maps were recorded before and after deformation by standard rocking curves and were measured by scanning the energy of the incident X-ray beam during deformation at different loading stages. The mechanical behavior of the nanowire was visualized in reciprocal space and a complex deformation mechanism is described. In addition to the expected bending of the nanowire, torsion was detected. Bending and torsion angles were quantified from the high-resolution diffraction data.