Miracle-dz/UniFAR-FTUs huggingface dataset:
Title Transcription activator-like effector nuclease ( TALEN )-mediated female-specific sterility in the silkworm , Bombyx mori Permalink

Engineering sex-specific sterility is critical for developing transgene-based sterile insect technology. Targeted genome engineering achieved by customized zinc-finger nuclease, transcription activator-like effector nuclease (TALEN) or clustered, regularly interspaced, short palindromic repeats/Cas9 systems has been exploited extensively in a variety of model organisms; however, screening mutated individuals without a detectable phenotype is still challenging. In addition, genetically recessive mutations only detectable in homozygotes make the experiments timeconsuming. In the present study, we model a novel genetic system in the silkworm, Bombyx mori, that results in female-specific sterility by combining transgenesis with TALEN technologies. This system induces sex-specific sterility at a high efficiency by targeting the female-specific exon of the B. mori doublesex (Bmdsx) gene, which has sex-specific splicing isoforms regulating somatic sexual development. Transgenic animals co-expressing TALEN left and right arms targeting the female-specific Bmdsx exon resulted in somatic mutations and female mutants lost fecundity because of lack of egg storage and abnormal external genitalia. The wild-type sexual dimorphism of abdominal segment was not evident in mutant females. In contrast, there were no deleterious effects in mutant male moths. The current somatic TALEN technologies provide a promising approach for future insect functional genetics, thus providing the basis for the development of attractive genetic alternatives for insect population management.
New Solution for Isolation of Multi-tenant in cloud computing

Data of multi-tenant is stored together in cloud computing, in order to ensure the data security of tenants that we must to isolate the application and data of each tenant, the security of all tenants may be affected and even cause the whole system to be broken down if the scheme of data isolate is failure, therefore it is worthy to research and analysis the solution of data isolation of multi- tenant in cloud computing environment, in this paper, we research and analyze the solution for application and data isolation of multi-tenant in cloud computing thoroughly, finally we given a related application scenario.
QTL analysis of dehydration tolerance at seedling stage in rice (Oryza sativa L..)

Dehydration tolerant QTLs at the seedling stage in rice (Oryza sativa L.) was studied using green shoot length as a parameter, which was measured during the recovery period after dehydration stress. According to the results of pilot experiment carried out to evaluate the two parental rice cultivars for the level of dehydration tolerance, at 4 - day and 5-day dehydration stress, Japonica parent Hyogokithanishiki (HGKN) showed more tolerance than that of Hokuriku-142 Indica parent (HOK). Quantitative trait loci (QTLs) associated with dehydration tolerance was identified using 163 recombinant inbred lines derived from these parents on a linkage map constructed with 95 simple sequence repeat (SSR) markers. Three dehydration tolerant minor QTLs were identified on chromosome 1, 2 and 3 at composite interval mapping by WinQTLCARTOGRAHER. According to the additive effect plots the QTLs on chromosome 1 and 2 have the allelic effect from the Indica parent Hokuriku-142 and QTL on chro- mosome 3 has allelic effect from Hyogokithanishiki Japonica parent. However, according to the 1000 time permutation test, these QTLs didn’t exceed the threshold LOD value. Tropical Agricultural Research and Extension 15(4): 2012: page 98-104
The Platformer Experience Dataset CONFERENCE

Player modeling and estimation of player experience have become very active research fields within affective computing, human computer interaction, and game artificial intelligence in recent years. For advancing our knowledge and understanding on player experience this paper introduces the Platformer Experience Dataset (PED) — the first open-access game experience corpus — that contains multiple modalities of user data of Super Mario Bros players. The open-access database aims to be used for player experience capture through contextbased (i.e. game content), behavioral and visual recordings of platform game players. In addition, the database contains demographical data of the players and self-reported annotations of experience in two forms: ratings and ranks. PED opens up the way to desktop and console games that use video from webcameras and visual sensors and offer possibilities for holistic player experience modeling approaches that can, in turn, yield richer game personalization.
Reproductive skew theory extended: The effect of resource inheritance on social organization

In social species, resource inheritance is a common and widespread phenomenon. Potential inheritance payoffs may influence an animal’s decision of whether to attempt individual reproduction, or to associate with a resource owner as a hopeful reproductive. These alternative reproductive decisions form the crux of reproductive skew theory (RST), which predicts if groups will form and, if so, the extent that reproduction is shared, given the ecological constraints, cooperative benefits, relatedness and relative fighting abilities of group members. I extend RST to include resource inheritance, a form of future direct benefits. Resource inheritance allows relaxation of one restrictive assumption of other RST models, the cooperative benefits assumption. Furthermore, with resource inheritance, stable associations will form over a greater range of conditions than that found in previous models, thus reducing the need for a ‘social contract’. Inclusion of resource inheritance generates predictions that are relevant to many social systems, including (under some conditions) parental facilitation, ‘lazy workers’, helping for ‘payment’, and complete skew when relatedness is zero or cooperative benefits are absent. The model has general applications because the resource inheritance parameter represents any form of future benefits arising from social associations.
Exploring storage protocols for yam (Dioscorea spp.) pollen genebanking

Implementation of pollen genebanks allows the conservation of plant genetic resources at the haploid level, pollen genetic manipulations, scheduling of hybrid seed production and improvement of breeding efficiency. To establish pollen storage protocols for various genotypes of West African yams, laboratory experiments were conducted on fresh pollen and pollen stored under various conditions at the Genetic Resources Unit International Institute of Tropical Agriculture Ibadan, Nigeria (IITA). The storage treatments examined were air-dried storage, freeze-drying followed by storage in liquid nitrogen and hermetic cold storage without previous drying (“wet-cold” storage). Pollen maintained under dry conditions (dry-air and freeze-dried) maintained aceto-carmine stainability up to 400 days but drastically lost germination capacity, most notably under dry-air storage. But pollen samples maintained at “wet-cold” conditions under −80°C retained germination capacity after 2 years. The results provide evidence to suggest recalcitrance of yam pollen grains in view of poor pollen survival with drying. Therefore, the “wet-cold” storage procedure appears to be the most promising method for the sustainable implementation of yam pollen genebanks. Pollen storage protocols for active and base collections were proposed, based on these findings.
A Cointegration Analysis of Alternative Core Inflation Measures for Turkey

First off, we conduct a cointegration analysis for alternative core inflation measures offered by Cihan and Malatyali (1999) on total inflation of Turkey. We observe that while some measures display the desired properties some do not. However, all those series display strong common deterministic trend. Additionally, we have tested the alternative measures of core inflation against the money growth.
QCD⊕QED
 NNLO corrections to Drell-Yan production

We compute the QCD$\times$QED (${\cal{O}}(\alpha_s \alpha)$) mixed and QED$^2$ (${\cal{O}}(\alpha^2)$) corrections to the production of an on-shell $Z$ boson in hadronic collisions. We obtain them by profiting from the calculation of the pure QCD terms after taking the corresponding abelian limits. Therefore, we extend the available knowledge up to complete next-to-next-to leading order precision in QCD$\oplus$QED. We present explicit results for the perturbative coefficients and perform the phenomenological analysis at different collider energies with particular emphasis on the mixed corrections. We study the contribution from the different channels and discuss the scale dependence stabilisation effect. We consider a factorisation approximation for the mixed order terms and show that it fails to reproduce the exact result. We find that the contributions are small, typically at the few per mille level, but that under some kinematical conditions they can compete with the pure QCD NNLO ones.
The Internet of Things in bridging the gap in municipal service delivery in South Africa

There continues to be high expectations of the government from the citizens of South Africa to improve the delivery of services , and hence the need to come up with comprehensive measures to alleviate the problem. This paper proposes the adoption of Internet of Things (IoT) technologies in enhancing service delivery in the South African municipalities. The paper is an attempt to influence policy on the potential of IoT to lessen the impact of some of the service delivery hurdles through examples of IoT applications that can make a difference to the South African economy. The paper identifies not only the sectors of the economy that fall under municipal service delivery but also a number IoT of applications that can be of value.
Comparison of outcome in lumbar spine instability treated surgically with pedicle screw fixation with or without interbody fusion device (cage)

Stability of the spine is defined as the ability of the spine under physiological loads to limit patterns of displacement so as to not damage or irritate the spinal cord and nerve roots and, in addition, to prevent incapacitating deformity or pain due to structural changes. Conversely, clinical instability of the spine as the loss of the spine’s ability to maintain its patterns of displacement under physiologic loads so there is no initial or additional neurologic deficit, no major deformity, and no incapacitating pain. Motion of a spinal segment is defined by the biomechanics of the intervertebral disc, facets, and ligaments, each of which offers a level of ABSTRACT
Multiplexity and Graph Signal Processing of EEG Dynamic Functional Connectivity Networks As Connectomic Biomarkers for Schizophrenia Patients: A Whole Brain Breakdown

Introduction Last years, many studies explored the disruption of functional interactions in schizophrenic patients compared to healthy controls supporting the consideration of schizophrenia as a disconnection syndrome. However, the majority of studies followed a static connectivity analysis ignoring the rich information encapsulated under the framework of dynamic functional connectivity graph (dFCG) analysis. Methods A dFCG has been estimated using a multivariate phase coupling estimator (PCE) by integrating both intra and cross-frequency coupling modes into an integrated DFCG (iDFCG) that encapsulates the functional strength and the type of coupling between pairs of brain areas. We analysed dFCG (Low-Order iDFCG) profiles of electroencephalographic resting state (eyes closed) recordings of healthy controls (n=39) and subjects with symptoms of schizophrenia (n=45) in basic frequency bands {δ,θ,α1,α2,β1,β2,γ}. We constructed the High-Order - iDFCG by adopting the cosine similarity between the time-series derived from the Low-Order-iDFCG. Estimating Graph Laplacians transformations of Low-Order and High-Order-iDFCG and by calculating the temporal evolution of Synchronizability (Syn), network metric time series (NMTSSyn) were produced. Results Following, a machine learning approach based on multi-kernel SVM with the four NMTSSyn used as potential features and appropriate kernels, we succeeded a superior classification accuracy (∼98%). DICM and flexibility index (FI) achieved a classification with absolute performance (100 %). Conclusions Schizophrenic subjects demonstrated a hypo-synchronization compared to healthy control group which can be interpreted as a low global synchronization of co-fluctuate functional patterns. Our analysis could be helpful for clinical prediction of ScZ and also for evaluating non-intervention treatments tailored to schizophrenia.
1. BASS RIVER SITE

The Bass River Site was the fourth borehole drilled as part of the New Jersey Coastal Plain Drilling Project, which began with Ocean Drilling Program (ODP) Leg 150X drilling at Island Beach, Atlantic City, and Cape May (Miller et al., 1994a, 1994b, 1996). Bass River was drilled by the New Jersey Geological Survey (NJGS) and Rutgers University and is the first site drilled as part of ODP Leg 174AX, complementing shelf drilling by Leg 174A; future Leg 174AX drilling is planned for 1998 near Corson’s Inlet and Ancora, NJ. Fund for Bass River was provided by the NJGS for direct drilling expens and the National Science Foundation (Earth Sciences Division, C tinental Dynamics Program and Ocean Science Division, ODP) science support. Drilling at Bass River targeted middle Miocene and older s quences, with the primary focus on Upper Cretaceous (Cenoman Maastrichtian) to Paleocene strata that previously were poorly sa
A new mouse model of CKD transitioned from ischemic AKI.

Acute kidney injury (AKI) significantly increases the risk of development of chronic kidney disease (CKD), which is closely associated with the severity of AKI. However, the underlying mechanisms for AKI to CKD transition remain unclear. Several animal models with AKI to CKD transition have been generated and widely used in research, however, none of them exhibit the typical changes in glomerular filtration rate (GFR) or plasma creatinine (PCr), the hallmarks of CKD. In the present study, we developed a novel model with typical phenotype of AKI to CKD transition in C57BL/6 mice. In this model, life-threatening ischemia reperfusion injury (IRI) was performed in one kidney, while the contralateral kidney was kept intact to maintain animal survival; then following 2 weeks recovery, when the renal function of the injured kidney restored above the survival threshold, the contralateral intact kidney was removed. The animals of this unilateral two-stage IRI model with pedicle clamping of 21 min and 24 min exhibited an incomplete recovery from AKI, and subsequent progression of CKD with characteristics of progressive decline in GFR, increase in PCr, worsening of proteinuria and deleterious histopathological changes including interstitial fibrosis and glomerulosclerosis. In conclusion, a new model of AKI to CKD transition was generated in C57BL/6 mice.
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks

With the rapid development of fashion market, the customers' demands of customers for fashion recommendation are rising. In this paper, we aim to investigate a practical problem of fashion recommendation by answering the question “which item should we select to match with the given fashion items and form a compatible outfit”. The key to this problem is to estimate the outfit compatibility. Previous works which focus on the compatibility of two items or represent an outfit as a sequence fail to make full use of the complex relations among items in an outfit. To remedy this, we propose to represent an outfit as a graph. In particular, we construct a Fashion Graph, where each node represents a category and each edge represents interaction between two categories. Accordingly, each outfit can be represented as a subgraph by putting items into their corresponding category nodes. To infer the outfit compatibility from such a graph, we propose Node-wise Graph Neural Networks (NGNN) which can better model node interactions and learn better node representations. In NGNN, the node interaction on each edge is different, which is determined by parameters correlated to the two connected nodes. An attention mechanism is utilized to calculate the outfit compatibility score with learned node representations. NGNN can not only be used to model outfit compatibility from visual or textual modality but also from multiple modalities. We conduct experiments on two tasks: (1) Fill-in-the-blank: suggesting an item that matches with existing components of outfit; (2) Compatibility prediction: predicting the compatibility scores of given outfits. Experimental results demonstrate the great superiority of our proposed method over others.
SILAR SENSITIZATION AS AN EFFECTIVE METHOD FOR MAKING EFFICIENT QUANTUM DOT SENSITIZED SOLAR CELLS

CdSe quantum dots were in situ deposited on various structures of TiO2 photoanode by successive ionic layer adsorption and reaction (SILAR). Various sensitized TiO2 structures were integrated as a photoanode in order to make quantum dot sensitized solar cells. High power conversion efficiency was obtained; 2.89 % (Voc=524 mV, Jsc=9.78 mA/cm2, FF=0.56) for the cells that sensitized by SILAR method. Also all the cells, showed rather high efficiencies (more than 2.65%) regardless of their structure. Here we did the SILAR deposition in room temperature by a simple method which introduces it as a cost effective method for large scale production. Regarding the considerable efficiencies which obtained here by simple SILAR method for various structures, pointed out that SILAR deposition, can be introduced as an effective method for sensitizing electrodes by QDs, in quantum dot sensitized solar cells.
Actividad antifúngica de la combinación de fluconazol con otros fármacos: un enfoque terapéutico alternativo de las candidiasis

En los ultimos anos, el aumento de las infecciones causadas por especies diferentes de Candida albicans y la aparicion de aislamientos resistentes o con sensibilidad reducida al fluconazol ha adquirido gran importancia. Este estudio tiene como objetivo evaluar la actividad anticandidiasica tanto in vivo como in vitro de la combinacion de fluconazol con otros farmacos utilizados para el tratamiento de otras enfermedades:. amiodarona, ciclosporina A,ibuprofeno y lactoferrina. La actividad antigungica de los farmacos se determino mediante los metodos de microdilucion en caldo propuestos por el Clinical Laboratory Standars Institute (CLSI) en el documento M27-A3 y por el European Committee on Antibiotic Susceptibility Testing (EUCAST) en el documento EDef 7.3. 1. Las interacciones entre los medicamentos se estudiaron mediante la tecnica del tablero de ajedrez y las curvas de letalidad. Para la interpretacion de los resultados obtenidos con la primera de las tecnicas mencionadas se utilizaron los modelos de indice de concentracion inhibidora fraccionada (FICI) y el modelo de variacion del porcentaje de crecimiento (AE). Los estudios in vivo se llevaron a cabo en un modelo de infeccion en Galleria mellonella. Nuestros resultados mostraron una muy buena concordancia al comparar los diferentes metodos con un valor de coeficiente de correlacion intraclase mayor de 0,8. Ademas los modelos empleados para la interpretacion de las interacciones entre el fluconazol y los distintos agentes mostraron similitud. Por otro lado, la combinacion del fluconazol y el resto de agentes redujo la concentracion minima inhibitoria (CMI) del fluconazol contra un gran numero de aislamientos resistentes a este farmaco antifungico. El fluconazol combinado con la ciclosporina A mostro efecto sinergico contra 16 de los 32 aislamientos estudiados, siendo la mitad resitentes al fluconazol. La interaccion entre fluconazoly lactoferrina teambien mostro buenos resultados, el efecto contra 15 de los 32 aislamientos analizados fue sinergico. Los resultados obtenidos mediante las curvas de letalidad confirmaron los resultados obtenidos mediante el modelo del tablero de ajedrez contra algunos aislamientos de Candida. El tratamiento con la combinacion de fluconazol y ciclosporina A de la candidiasis experimental por Candida Krusei ATCC 6258 en el modelo en Galleria mellonella mostro una mejora en la supervivencia de las larvas. No se observaron diferencias estadisticamente significativas entre el grupo infectado y tratado con esta combinacion de farmacos respecto al grupo de larvas control. La interaccion del fluconazol con la ciclosporina A presento muy buenos resultados in vivo e in vitro contra aislamiento de Candida resistentes al fluconazol.
Incremental Transfer Learning in Two-pass Information Bottleneck Based Speaker Diarization System for Meetings

The two-pass information bottleneck (TPIB) based speaker diarization system operates independently on different conversational recordings. TPIB system does not consider previously learned speaker discriminative information while di-arizing new conversations. Hence, the real time factor (RTF) of TPIB system is high owing to the training time required for the artificial neural network (ANN). This paper attempts to improve the RTF of the TPIB system using an incremental transfer learning approach where the parameters learned by the ANN from other conversations are updated using current conversation rather than learning parameters from scratch. This reduces the RTF significantly. The effectiveness of the proposed approach compared to the baseline IB and the TPIB systems is demonstrated on standard NIST and AMI conversational meeting datasets. With a minor degradation in performance, the proposed system shows a significant improvement of 33.07% and 24.45% in RTF with respect to TPIB system on the NIST RT-04Eval and AMI-1 datasets, respectively.
Differential effect of regadenoson versus dipyridamole on heart rate in patients with left bundle branch block: How does it affect the results of pharmacological nuclear stress testing?

Background Myocardial perfusion imaging (MPI) stress test is performed either using exercise as a stress modality or through the use of pharmacological vasodilator agents in those who cannot exercise. Regadenoson and dipyridamole are some of the most common vasodilator agents used. We aim to study the effect of these agents on the heart rate and the imaging results. Methods This was a retrospective study which included 187 patients with left bundle branch block. Patients received either dipyridamole or regadenoson during the myocardial perfusion imaging stress test. Charts were reviewed, and patient characteristics were recorded, as well as baseline heart rate, peak heart rate during stress, and angiographic data if available. Results Regadenoson increased peak, absolute and relative heart rates significantly more compared to dipyridamole. The peak heart rate for Regadenoson was 94.1 ± 17.36 and for dipyridamole it was 85.38 ± 16.48 BPM (P < 0.001). The relative and absolute heart rate increase in the regadenoson group were 40.75 ± 23.01% and 26.06 ± 13.44 BPM, respectively. The relative and absolute heart rate increase in the dipyridamole group were 24.61 ± 18.25% and 16.23 ± 10.97 BPM. The frequency of reversible septal defects was similar in both groups (54% for Regadenoson vs. 63% for Dipyridamole; P = 0.24). Conclusions There is a statistically significant increase in heart rate with the use of regadenoson for MPI compared to dipyridamole. However, the number of septal perfusion defects was similar between the two groups. The effect of this increase in heart rate, while statistically significant, is likely of no clinical significance.