Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of Differentially Expressed Genes Related to Dehydration Resistance in a Highly Drought-Tolerant Pear, Pyrus betulaefolia, as through RNA-Seq

Drought is a major abiotic stress that affects plant growth, development and productivity. Pear is one of the most important deciduous fruit trees in the world, but the mechanisms of drought tolerance in this plant are still unclear. To better understand the molecular basis regarding drought stress response, RNA-seq was performed on samples collected before and after dehydration in Pyrus betulaefolia. In total, 19,532 differentially expressed genes (DEGs) were identified. These genes were annotated into 144 Gene Ontology (GO) terms and 18 clusters of orthologous groups (COG) involved in 129 Kyoto Encyclopedia of Genes and Genomes (KEGG) defined pathways. These DEGs comprised 49 (26 up-regulated, 23 down-regulated), 248 (166 up-regulated, 82 down-regulated), 3483 (1295 up-regulated, 2188 down-regulated), 1455 (1065 up-regulated, 390 down-regulated) genes from the 1 h, 3 h and 6 h dehydration-treated samples and a 24 h recovery samples, respectively. RNA-seq was validated by analyzing the expresson patterns of randomly selected 16 DEGs by quantitative real-time PCR. Photosynthesis, signal transduction, innate immune response, protein phosphorylation, response to water, response to biotic stimulus, and plant hormone signal transduction were the most significantly enriched GO categories amongst the DEGs. A total of 637 transcription factors were shown to be dehydration responsive. In addition, a number of genes involved in the metabolism and signaling of hormones were significantly affected by the dehydration stress. This dataset provides valuable information regarding the Pyrus betulaefolia transcriptome changes in response to dehydration and may promote identification and functional analysis of potential genes that could be used for improving drought tolerance via genetic engineering of non-model, but economically-important, perennial species.
Music video affective understanding using feature importance analysis

Music video is a popular type of entertainment by viewers. Currently, the novel indexing and retrieval approach based on the affective cues contained in music videos becomes more and more attractive to users. Music video affective analysis and understanding is one of the most popular topics in current multimedia community. In this paper, we propose a novel feature importance analysis approach to select most representative arousal and valence features for arousal and valence modeling. Compared with state-of-the-art work by Zhang on music video affective analysis, our main contributions are in the following aspects: (1) Another 3 affect-related features are extracted to enrich the feature set and exploit their correlation with arousal and valence. (2) All extracted features are ordered via feature importance analysis, and then optimal feature subset is selected after ordering. (3) Different regression methods are compared for arousal and valence modeling in order to find the fittest estimation function. Our method achieves 33.39% and 42.17% deduction in terms of mean absolute error compared with Zhang's method. Experimental results demonstrate our proposed method has a considerable improvement on music video affective understanding.
Contesting Ideas of a University: The Case of South Africa

This article portrays four historically evolved ideas of a university, as they have developed in the South African context, namely the British liberal-humanistic education idea, the Afrikaner idea of an ethnically-oriented developmental university, the idea of an African university, and the idea of a university proclaimed by neo-liberal economics. The global significance of this contest, as it plays out itself on South African soil, is noted.
An Off-Axis Jet Model For GRB 980425 and Low-Energy Gamma-Ray Bursts

Using a simple off-axis jet model of gamma-ray bursts (GRBs), we can reproduce the observed unusual properties of the prompt emission of GRB 980425, such as the extremely low isotropic equivalent γ-ray energy, the low peak energy, the high fluence ratio, and the long spectral lag when the jet with the standard energy of ~1051 ergs and the opening half-angle of 10° ≲ Δθ ≲ 30° is seen from the off-axis viewing angle θv ~ Δθ + 10γ-1, where γ is a Lorentz factor of the jet. For our adopted fiducial parameters, if the jet that caused GRB 980425 is viewed from the on-axis direction, the intrinsic peak energy Ep(1 + z) is ~2.0-4.0 MeV, which corresponds to those of GRB 990123 and GRB 021004. We also discuss the connection of GRB 980425 in our model with the X-ray flash, and the origin of a class of GRBs with small Eγ.
The effectiveness of procrastination management training on the enhancement of self-efficacy and learning strategies, and reduction of procrastination and avoidance of failure

Considering the complexity of its cognitive, emotional and behavioral components, procrastination takes many forms, of which the most common form is academic procrastination. The purpose of the present study was to determine the effectiveness of procrastination management training on the enhancement of self-efficacy and learning strategies, and the reduction of procrastination and avoidance of failure in female students. The population in this study included all female students who were studying during the 2013-14 academic year. The sample consisted of 30 female students, who were selected via random sampling. The instruments of this study included the Academic Procrastination Orientation Questionnaire (APOQ), Motivational Cognitive Inventory (MCI) and Motivation and Engagement Scale (MES). Results showed that procrastination management training caused significant improvement in students’ expectancy for success, task-value, organization, rehearsal, metacognitive selfregulation and self-efficacy. Also, the results indicated that procrastination management training caused significant decrease in students’ procrastination and failure-avoidance. Most of the difference between the experimental and the control group were in students’ procrastination, self-efficacy, and metacognition. The finding of the present study confirm that procrastination management training enhances cognitive and motivational strategies and thus it is recommended that educators and therapists use this intervention for improving learning strategies and decrease procrastination.
Viral Oncolysis — Can Insights from Measles Be Transferred to Canine Distemper Virus?

Neoplastic diseases represent one of the most common causes of death among humans and animals. Currently available and applied therapeutic options often remain insufficient and unsatisfactory, therefore new and innovative strategies and approaches are highly needed. Periodically, oncolytic viruses have been in the center of interest since the first anecdotal description of their potential usefulness as an anti-tumor treatment concept. Though first reports referred to an incidental measles virus infection causing tumor regression in a patient suffering from lymphoma several decades ago, no final treatment concept has been developed since then. However, numerous viruses, such as herpes-, adeno- and paramyxoviruses, have been investigated, characterized, and modified with the aim to generate a new anti-cancer treatment option. Among the different viruses, measles virus still represents a highly interesting candidate for such an approach. Numerous different tumors of humans including malignant lymphoma, lung and colorectal adenocarcinoma, mesothelioma, and ovarian cancer, have been studied in vitro and in vivo as potential targets. Moreover, several concepts using different virus preparations are now in clinical trials in humans and may proceed to a new treatment option. Surprisingly, only few studies have investigated viral oncolysis in veterinary medicine. The close relationship between measles virus (MV) and canine distemper virus (CDV), both are morbilliviruses, and the fact that numerous tumors in dogs exhibit similarities to their human counterpart, indicates that both the virus and species dog represent a highly interesting translational model for future research in viral oncolysis. Several recent studies support such an assumption. It is therefore the aim of the present communication to outline the mechanisms of morbillivirus-mediated oncolysis and to stimulate further research in this potentially expanding field of viral oncolysis in a highly suitable translational animal model for the benefit of humans and dogs.
A transient large-scale relativistic radio jet from GX 339−4

We report on the formation and evolution of a large-scale, synchrotron-emitting jet from the black hole candidate and X-ray binary system GX 339-4. In 2002 May, the source moved from a low/hard to a very high X-ray state, contemporaneously exhibiting a very bright optically thin radio flare. Further observations with the Australia Telescope Compact Array have tracked the formation of a collimated structure extending to about 12 arcsec, with apparent velocity greater than 0.9c. The luminosity of the outflow seems to be rapidly decreasing; these observations confirm that transient large-scale jets are likely to be common events triggered by X-ray state transitions in black hole X-ray binaries.
Traffic of Dynamin within Individual DrosophilaSynaptic Boutons Relative to Compartment-Specific Markers

Presynaptic terminals contain several specialized compartments, which have been described by electron microscopy. We show in an identified Drosophila neuromuscular synapse that several of these compartments—synaptic vesicle clusters, presynaptic plasma membrane, presynaptic cytosol, and axonal cytoskeleton—labeled by specific reagents may be resolved from one another by laser scanning confocal microscopy. Using a panel of compartment-specific markers andDrosophila shibirets1 mutants to trap an intermediate stage in synaptic vesicle recycling, we have examined the localization and redistribution of dynamin within single synaptic varicosities at the larval neuromuscular junction. Our results suggest that dynamin is not a freely diffusible molecule in resting nerve terminals; rather, it appears localized to synaptic sites by association with yet uncharacterized presynaptic components. Inshits1 nerve terminals depleted of synaptic vesicles, dynamin is quantitatively redistributed to the plasma membrane. It is not, however, distributed uniformly over presynaptic plasmalemma; instead, fluorescence images show “hot spots” of dynamin on the plasma membrane of vesicle-depleted nerve terminals. We suggest that these dynamin-rich domains may mark the active zones for synaptic vesicle endocytosis first described at the frog neuromuscular junction.
Gastronomi ve Mutfak Sanatları Eğitimi Alan Öğrencilerin Sektörde Çalışmaya Yönelik Bakış Açıları (Attitudes of Gastronomy and Culinary Arts Students Towards Working in the Sector)

Gastronomi alanının yoğun rekabete dayanan, emek yoğun bir hizmet sektörü olması, gastronomi eğitimi veren kurumların sektörün ihtiyaçlarına uygun nitelikli personel yetiştirmelerini gerektirmektedir. Söz konusu eğitim kurumlarından mezun olan nitelikli öğrencilerin, sektörün potansiyel temsilcileri olacağı düşünüldüğünde sektörde istihdamını ve uzun yıllar çalışmasını sağlamak için, sektör ile ilgili algı ve tutumlarını incelemek önemli görünmektedir. Bu nedenle araştırmanın amacı, lisans düzeyinde eğitim alan “gastronomi ve mutfak sanatları” bölümü öğrencilerinin sektörde çalışmaya yönelik bakış açılarını belirlemektir. Bu amaç doğrultusunda yapılan araştırmada anket tekniği kullanılmış ve Abant İzzet Baysal Üniversitesi Bolu Turizm İşletmeciliği ve Otelcilik Yüksekokulu Gastronomi ve Mutfak Sanatları bölümünde okuyan 104 öğrenciye ulaşılmıştır. Demografik değişkenlere ve öğrencilerin sektöre yönelik bakış açılarına ilişkin verilerin yorumlanmasında frekans ve yüzde analizinden yararlanılmıştır. Öğrencilerin sektörde çalışmaya yönelik bakış açıları; işin doğası ve çalışma koşulları, sosyal statü ve gelecek kaygısı, ücret ve olanaklar ve son olarak da kişisel görüşler olmak üzere dört farklı boyutta incelenmiş ve değerlendirilmiştir. Elde edilen bu veriler öğrencilerin beklentilerini farklı bakış açıları ile göstermekte ve aynı zamanda sektör temsilcilerine mevcut sorunların çözümü hususunda da yol göstereceği düşünülmektedir.
Shape Defined Panoramas

Panoramic projections are often defined by the geometric surfaces used to derive the projections’ equations (e.g., spherical and cylindrical panoramas). The parameterization of these surfaces greatly affects the resulting projection equations and image properties. Problematically, unusual parameterization can reproduce panoramas associated with other shapes. In this paper, we ensure an explicit link between surface shape and projection behavior by suggesting use of projection surfaces parameterized by arc-length, binding rendering behavior to surface modeling. This allows us to create new panorama variations beyond the conventional for creating panoramas of CG environments as well as for resampling panoramas created from cameras. Further we describe an interface for composing these panoramas and show how this technique lends itself to controlling distortion and composition of panoramic projections. Additionally we provide details on rendering these projections.
Predicting Groundwater Areas Using Data Mining Techniques: Groundwater in Jordan as Case Study

Data mining is the process of extracting useful or hidden information from a large database. Extracted information can be used to discover relationships among features, where data objects are grouped according to logical relationships; or to predict unseen objects to one of the predefined groups. In this paper, we aim to investigate four well-known data mining algorithms in order to predict groundwater areas in Jordan. These algorithms are Support Vector Machines (SVMs), Naïve Bayes (NB), K-Nearest Neighbor (kNN) and Classification Based on Association Rule (CBA). The experimental results indicate that the SVMs algorithm outperformed other algorithms in terms of classification accuracy, precision and F1 evaluation measures using the datasets of groundwater areas that were collected from Jordanian Ministry of Water and Irrigation. Keywords—Classification, data mining, evaluation measures, groundwater.
Proteomic and Transcriptomic Analysis of Aspergillus fumigatus on Exposure to Amphotericin B

ABSTRACT Amphotericin B (AMB) is the most widely used polyene antifungal drug for the treatment of systemic fungal infections, including invasive aspergillosis. It has been our aim to understand the molecular targets of AMB in Aspergillus fumigatus by genomic and proteomic approaches. In transcriptomic analysis, a total of 295 genes were found to be differentially expressed (165 upregulated and 130 downregulated), including many involving the ergosterol pathway, cell stress proteins, cell wall proteins, transport proteins, and hypothetical proteins. Proteomic profiles of A. fumigatus alone or A. fumigatus treated with AMB showed differential expression levels for 85 proteins (76 upregulated and 9 downregulated). Forty-eight of them were identified with high confidence and belonged to the above-mentioned categories. Differential expression levels for Rho-GDP dissociation inhibitor (Rho-GDI), secretory-pathway GDI, clathrin, Sec 31 (a subunit of the exocyst complex), and RAB GTPase Ypt51 in response to an antifungal drug are reported here for the first time and may represent a specific response of A. fumigatus to AMB. The expression of some of these genes was validated by real-time reverse transcription-PCR. The AMB responsive genes/proteins observed to be differentially expressed in A. fumigatus may be further explored for novel drug development.
Parameters for Quantifying the Interaction with Spoken Dialogue Telephone Services

When humans interact with spoken dialogue systems, parameters can be logged which quantify the flow of the interaction, the behavior of the user and the system, and the performance of individual system modules during the interaction. Although such parameters are not directly linked to the quality perceived by the user, they provide useful information for system development, optimization, and maintenance. This paper presents a collection of such parameters which are now considered to be recommended by the International Tele-communication Union (ITU-T) for evaluating telephone-based spoken dialogue services. As an initial evaluation, a case study is described which shows that the parameters correlate only weakly with subjective judgments, but that they still may be used for predicting quality with PARADISE-style regression models.
Effects of Radio Propagation Path Loss on DS-CDMA Cellular Frequency Reuse Efficiency for the Reverse Channel

Analysis techniques that quantitatively describe the impact of propagation path loss and user distributions on wireless direct-sequence code-division multiple-access (DS-CDMA) spread spectrum systems are presented. First, conventional terrestrial propagation models which assume a d4 path loss law are shown to poorly describe modern cellular and personal communication system channels. Then, using both a two-ray propagation model and path loss models derived from field measurements, we analyze the impact of path loss on the frequency reuse efficiency of DS-CDMA cellular radio systems. Analysis is carried out for the reverse (subscriber-to-base) channel using a simple geometric modeling technique for the spatial location of cells, and inherent to the geometry is the ability to easily incorporate nonuniform spatial distributions of users and multiple layers of surrounding cells throughout the system. Our analysis shows the frequency reuse efficiency (F) of the reverse channel with a single ring of adjacent cells can vary between a maximum of 71% in d4 channels with a favorable distribution of users, to a minimum of 33% in d2 channels with a worst case user distribution. For three rings of adjacent users, F drops to 58% for the best d4 case, and 16% for the worst d2 case. Using the two-ray model, we show that F can vary over a wide range of values due to the fine structure of propagation path loss. The analysis techniques presented here can be extended to incorporate site-specific propagation data.
Empirical mode decomposition with wavelet de-noising

In order to solve the signal during transmission on the external mixture of noise, this paper presents the wavelet de-noising based on empirical mode decomposition (EMD), with Wu and others view that the previous order intrinsic mode function (IMF) components need for the wavelet de-noising, and with the wavelet threshold de-noising method and directly remove the high frequency components of EMD de-noising results compared, by using some objective criteria as the main criteria to evaluate the quality of signal recovery, the results show that the method of wavelet de-noising based on EMD is very effective and stable.
Stereotype Threat Among Girls

Effects of stereotype threat on math performance have been well-documented among college women; however, the prevalence among adolescent girls is less well-known. Further, the moderating role of gender identity and effects of stereotype threat on high achieving girls in math is unknown. This study tested the effects of a stereotype threat condition (vs. control group) among middle school girls in standard and honors math classes and examined gender identity as a moderator. Students (N = 498) completed pre- and post-questionnaires and a math test as part of a stereotype threat experiment. Gender identity moderated effects of stereotype threat on math discounting, disengagement, attitudes, and performance, but whether gender identity was a protective or risk factor differed by math education context (honors math and standard math classes). Gender identity was protective for girls in honors math for attitudes, discounting, and disengagement but was a risk factor for math performance. Gender identity was a risk factor for disengagement and math attitudes among girls in standard math classes, but was a buffer for math performance. Results suggest the need to examine protective and risk properties of gender identity importance for adolescent girls and the need to examine stereotype threat within educational contexts. Stereotype threat can be reduced through interventions; thus, educators and practitioners can collaborate with social scientists to implement widespread interventions in K–12 schools. Additional online materials for this article are available on PWQ’s website at http://journals.sagepub. com/doi/suppl/10.1177/0361684317711412. Online slides for instructors who want to use this article for teaching are available on PWQ's website at http://journals.sagepub. com/page/pwq/suppl/index
Comparison of different gonadotrophin preparations in intrauterine insemination cycles for the treatment of unexplained infertility: a prospective, randomized study.

BACKGROUND A comparison of the effectiveness of different gonadotrophin preparations in intrauterine insemination (IUI) cycles for patients with unexplained infertility was performed. METHODS Two hundred and forty-one patients were prospectively randomized using computer-generated random numbers into three groups: 81 in the Follitropin alpha (Group I), 80 in the urinary FSH (uFSH) (Group II) and 80 in the hMG (Group III). The primary outcome was clinical pregnancy rate with duration of stimulation, total gonadotrophin dose, number of dominant follicles, clinical pregnancy rate, multiple pregnancy, miscarriage rate and ovarian hyperstimulation syndrome (OHSS) rate being secondary outcomes. RESULTS Clinical pregnancy rate was significantly higher in the rFSH group (25.9% in Follitropin alpha, 13.8% in uFSH and 12.5% in HMG groups; P = 0.04). There was no significant difference in terms of duration of stimulation, but mean FSH dose consumed per cycle was significantly lower in the recombinant FSH (rFSH) group compared with others (825 IU in Follitropin alpha, 1107 IU in uFSH and 1197 IU in HMG groups; P = 0.001). The number of follicles > or =16 mm diameter was significantly higher in the rFSH group compared with the uFSH and HMG groups (2.6 in Follitropin alpha, 1.3 in uFSH and 1.4 in HMG groups; P = 0.001). CONCLUSION rFSH may result in a better outcome in IUI cycles for unexplained infertility.