Miracle-dz/UniFAR-FTUs huggingface dataset:
Landscape of superconducting membranes

The AdS/CFT correspondence may connect the landscape of string vacua and the 'atomic landscape' of condensed matter physics. We study the stability of a landscape of IR fixed points of N=2 large N gauge theories in 2+1 dimensions, dual to Sasaki-Einstein compactifications of M theory, toward a superconducting state. By exhibiting instabilities of charged black holes in these compactifications, we show that many of these theories have charged operators that condense when the theory is placed at a finite chemical potential. We compute a statistical distribution of critical superconducting temperatures for a subset of these theories. With a chemical potential of 1 mV, we find critical temperatures ranging between 0.24 and 165 K.
Bonding efficacy of cured or uncured dentin adhesives in indirect resin

Objectives: This study examined the effect of the uncured dentin adhesives on the bond interface between the resin inlay and dentin. Materials and Methods: Dentin surface was exposed in 24 extracted human molars and the teeth were assigned to indirect and direct resin restoration group. For indirect resin groups, exposed dentin surfaces were temporized with provisional resin. The provisional restoration was removed after 1 wk and the teeth were divided further into 4 groups which used dentin adhesives (OptiBond FL, Kerr; One-Step, Bisco) with or without light-curing, respectively (Group OB-C, OB-NC, OS-C and OS-NC). Pre-fabricated resin blocks were cemented on the entire surfaces with resin cement. For the direct resin restoration groups, the dentin surfaces were treated with dentin adhesives (Group OB-D and OS-D), followed by restoring composite resin. After 24 hr, the teeth were assigned to microtensile bond strength (μ TBS) and confocal laser scanning microscopy (CLSM), respectively. Results: The indirect resin restoration groups showed a lower μ TBS than the direct resin restoration groups. The μ TBS values of the light cured dentin adhesive groups were higher than those of the uncured dentin adhesive groups ( p < 0.05). CLSM analysis of the light cured dentin adhesive groups revealed definite and homogenous hybrid layers. However, the uncured dentin adhesive groups showed uncertain or even no hybrid layer. Conclusions: Light-curing of the dentin adhesive prior to the application of the cementing material in luting a resin inlay to dentin resulted in definite, homogenous hybrid layer formation, which may improve the bond strength. [J Kor Acad Cons Dent 2011;36(6):490-497. ]
Transcriptome analysis of banana (Musa balbisiana) basedon next-generation sequencing technology

Banana (Musa spp.) is an important tropical fruit with high commercial potential. Musa balbisiana (B genome) is a progenitor of one of the most cultivated banana species and exhibits unique traits, including resistance or tolerance to many biotic and abiotic stresses. RNA sequencing of the Musa B genome would provide a vast array of transcriptomic information that could lead to the development of trait-specific markers and the discovery of new genes and regulatory sequences involved in resistance mechanisms. Thus, transcriptome sequencing was performed in Musa B genome accession Attikol using the Ion Torrent platform. This led to the generation of about 4.5 million paired-end reads, which were assembled using the MIRA assembler. The assembly produced 82,413 unique transcripts with a mean length of approximately 113 bp. The sequence similarity search against the Swiss-Prot database resulted in the identification of 35,783 unique transcripts (62.18%). Out of these, 193,826 gene ontology terms were assigned to unique transcripts. Functional annotation against PlantCYC pathway database identified 20,696 unique transcripts, which were mapped to 455 pathways. About 4780 simple sequence repeats (SSRs) were obtained from 82,413 unique transcripts. Primers could be designed for only 2628 SSRs, out of which 30 primers were randomly selected from defense-related genes to confirm their efficiency. This information will make the improvement of banana cultivars easier by facilitating the selection of resistance genes as well as the development of trait-specific markers.
Organic and conservation systems enhanced carbon sequestration potential and soil carbon stock dynamics: A review

The study aims to elucidate the impact of organic inputs and conservation systems on soil carbon sequestration and carbon stock dynamics in an Inceptisol of Indo-Gangetic Plain Zone of India. The management of soil organic carbon (SOC) has now been identified as the most imperative dimension for managing the global climate change as well as soil fertility. Long-term fertilization significantly influenced SOC concentrations and storage to 60 cm depth. Below 60 cm, SOC concentrations and storages were statistically not significant between all treatments. Organic manure plus inorganic fertilizer application also increased labile soil organic carbon pools in 0–60 cm depth. The average concentration of particulate organic carbon (POC), dissolved organic carbon (DOC) and microbial biomass carbon (MBC) in organic manure plus inorganic fertilizer treatments (NP+S and NP+FYM) in 0–60 cm depth were increased by 64.9–91.9%, 42.5–56.9%, and 74.7–99.4%, respectively, over the CK treatment.Average SOC concentration of the control treatment was 0.54%, which increased to 0.65% in the RDF treatment and 0.82% in the RDF+FYM treatment and increased enzyme activities, which potentially influence soil nutrients dynamics under field condition. Compared to F1 control treatment the RDF+FYM treatment sequestered 0.28 Mg C ha yr whereas the NPK treatment sequestered 0.13 Mg C ha yr. As tillage intensity increased there was a redistribution of SOC in the profile, but it occurred only between ZT and PRB since under CT, SOC stock decreased even below the plow layer. Increased SOC stock in the surface 50 kg m under ZT and PRB was compensated by greater SOC stocks in the 50-200 and 200-400 kg m interval under residue retained, but SOC stocks under CT were consistently lower in the surface 400 kg m. Over the last 16 years, CT lost 0.83 ±0.2 kg of C m while ZT gain 1.98 ±0.3 and PRB gain 0.97±0.2 kg of C m in the 1200 kg of soil m profile. These results indicate that long-term adoption of organic and conservation systems have the most beneficial effects in building carbon sequestration potential and carbon stock pools among the investigated types of fertilization.
Probiotics in drinking water alleviate stress of induced molting in feed-deprived laying hens

: An experiment was conducted to evaluate the physiological changes of laying hens subjected to feed removal during induced molting while received probiotics in the drinking water. Post-molt performance and egg quality criteria were also studied. Ninety 78-week-old Hy-line W36 laying hens were divided into two treatment groups according to equal body weight and subjected to induced molting by continuous feed removal until around 30% BW reduction. The experiment lasted 12 wks consisting of 4-wk molting and 8-wk post-molt periods. Treatment 1 received no probiotics and was considered as the control. Treatment 2 was similar to the control except that hens received probiotics in the drinking water at 400 mg/L during feed deprivation. The results indicated that hens in both groups went out of production by Day 5. However, hens received probiotics reached 5 and 50% egg production sooner than the control (30 and 52 days vs. 31 and 54 days). Starvation during molting increased heterophil to lymphocyte (H/L) ratio, hematocrit and plasma T4 and Na + levels while plasma T3 and Cl - levels were decreased. Probiotics had no significant impact on BW reduction during molt. Post-molt egg production and egg mass were higher in hens which previously received probiotics, but these responses were not significant. However, feed conversion ratio was significantly better in hens which received probiotics. Hematocrit, plasma thyroid hormone concentrations (T3 and T4) and plasma Na + , K + and Cl' levels during molting were not significantly influenced by supplementation of probiotics. However, H/L ratio showed a significant (p<0.05) reduction in birds which received probiotics suggesting beneficial effects of this product for feed-deprived laying hens. No significant difference was observed in post-molt egg quality criteria.
Culturomics and Genre: Wrath and Angerin the 17th Century

My first introduction to “Culturomics” was at the Helsinki Corpus Festival in late September 2011, by Andreas Jucker, although at the time I wasn’t aware of it. In the course of his opening plenary lecture, which was about courtesy and politeness, Andreas showed a diagram which, I believe, was generated by the Google Books Ngram Viewer . Given my obsession with word pairs, I immediately thought: what can be done with courtesy and politeness can also be done with passion and emotion or with wrath and anger. I soon discovered that there is a whole new science (or what claims to be a new science) behind Google Books, and the Google Books Ngram Viewer in particular. The name of that science is Culturomics, of course a portmanteau formation from Culture and Genomics. In January 2011 a group of scientists associated with the Harvard Cultural Observatory (among them Steven Pinker) published an article in Science (Michel et al. 2011a), announcing that Culturomics “extends the boundaries of rigorous quantitative inquiry to a wide array of new phenomena spanning the social sciences and the humanities”. The article was based on a corpus of over 5 million books “(~4% of all books ever published)” which had “emerged from Google’s effort to digitize books” (p. 176, col. 1). The English sub-corpus amounts to about 361 billion words (col. 2). The English-language entries from the year 2000 alone would take 80 years to read – “without interruptions for food or sleep” (ib.). In their pioneering studies they analyse the frequency of “slavery”, and (somewhat unsurprisingly) they discover that “[t]he use of ‘slavery’ peaked during the Civil War [. ] and then again during the civil rights movement”. Other studies concern the waning frequency of irregular verbs, the changing fame of various personalities and censorship during the Third Reich (where the need for careful interpretation, which is emphasized by the authors themselves, is particularly great). The corpora on which the Ngram Viewer is based were originally created in July 2009 . Ngram (or n-gram) is simply a superordinate term for 1-gram (“unigram”), 2-gram (“bigram”), 3-gram etc. For practical reasons, Michel et al. stop at 5-grams. A 1gram is either a word or a punctuation mark. 2-, 3-, 4-grams etc. are combinations of a corresponding
Wavefield separation using densely deployed three-component single-sensor groups in land surface-seismic recordings

Surface seismic data are usually acquired by placing receivers on the earth’s free surface. This is exactly the surface at which all up-coming wave energy is reflecting and converting into down-going energy, so the wavefield recorded is the sum of up-coming, down-going reflected, and down-going converted waves. In order to anaylze upcoming (from the reservoir) energy only (e.g., for “true” amplitude analysis), it is necessary to separate and remove all down-going waves from the recorded data. We present a new approach for wavefield separation of land surface-seismic data based on receiver groups with densely deployed single-sensor recordings. By converting vertical spatial derivatives to horizontal derivatives using the free-surface condition, the methodology only requires locally dense measurements of the wavefield at the free surface to calculate all spatial derivatives of the wavefield. These can in turn be used to compute divergence (giving P-wave potential) and curl (giving S-wave potential) of the wavefield at the free surface. The effects of the free surface are removed through an up/down separation step using the elastodynamic representation theorem. This results in infinite spatial-filter expressions that are appropriate for homogeneous media. The filter for P-waves depends on both P- and S-velocity at the receivers, whereas the S-wave filters only depend on the S-velocity. These velocities can be estimated using the techniques in the companion paper by Curtis and Robertsson in this issue. Spatially compact filters are chosen to approximate the analytical filter expressions. The filters are designed so that they can be applied within a densely deployed, spatially limited group of three-component (3C) receivers. By assuming that the earth is locally homogeneous (no significant variations within the near-surface region of the group), wavefield separation can be carried out also in areas with significant statics variations over the survey area. In particular, the simplest approximate expression for P-waves consists of two terms. The first term corresponds to divergence in the presence of the free surface scaled by a material constant. The second term is a time derivative of the recorded vertical component scaled by a material constant. Hence, the first term is a correction that is added to the “traditional” P-interpretation—the second term—which improves accuracy for incidence angles other than normal incidence. The proposed methodology is tested on synthetic data. By comparing “traditional” P-sections to those obtained using the new methodology, we demonstrate that a significant improvement in amplitudes and phases of arrivals is obtained using the new methodology. By using the simplest possible filter which only involves first-order derivatives in time and space, we obtained sufficiently accurate results up to incidence angles of around 30 ‐ away
A Real-Time Face Recognition System Using Eigenfaces

A real-time system for recognizing faces in a video stream provided by a surveillance camera was implemented, having real-time face detection. Thus, both face detection and face recognition techniques are summary presented, without skipping the important technical aspects. The proposed approach essentially was to implement and verify the algorithm Eigenfaces for Recognition, which solves the recognition problem for two dimensional representations of faces, using the principal component analysis. The snapshots, representing input images for the proposed system, are projected in to a face space (feature space) which best defines the variation for the face images training set. The face space is defined by the ‘eigenfaces’ which are the eigenvectors of the set of faces. These eigenfaces contribute in face reconstruction of a new face image projected onto face space with a meaningful (named weight). The projection of the new image in this feature space is then compared to the available projections of training set to identify the person using the Euclidian distance. The implemented system is able to perform real-time face detection, face recognition and can give feedback giving a window with the subject's info from database and sending an e-mail notification to interested institutions.
Value of Scheduling-Related Inservice Education, Opportunity to Implement Effective Teaching Practices, and Performance of Block-Scheduled Learners in Agricultural Education: A Correlational Study

The purpose of this study was to examine relationships among teacher perception of the value of teacher inservice in preparation for a block schedule, teacher satisfaction with the opportunity to implement effective teaching practices, and student achievement. Volunteer teachers ( N = 22), including 12 Modified A/B Block scheduled schools (189 students) and 10 Nine-Week (4X4) Block scheduled schools (136 students), provided the data. Teachers completed a questionnaire and administered a student examination. The value of inservice education was positively related to satisfaction with opportunity to use effective teaching practices; it was also positively related to achievement. This association was statistically significant and positive for lower-order and higher-order thinking skills (HOTS), and overall achievement. Teacher satisfaction with opportunity to use effective teaching practices was also positively related to achievement. This relationship was statistically significant for HOTS. Teachers should receive inservice that helps them to acquire instructional behaviors that are effective when used under a block schedule.
Research on CUDA-based Kriging Interpolation Algorithm

Three-dimensional geological model can describe the types of geological information efficiently, express a variety of topological relations among geological phenomena intuitively. Kriging interpolation algorithm is an important spatial interpolation method of three-dimensional geological modeling, but every grid point needs to compute augmented matrix and solve equations, so it costs too much time. With the modeling scale and drilling data quantity increasing rapidly, we need to make Kriging algorithm parallel imperatively. However parallel machine has many disadvantageshigh cost for example, we propose to use CUDA which is multi-threaded parallelism and low lost GPU-using to implement Kriging interpolation algorithm in this paper, then optimize the memory access and so on according to the executive features of CUDA. We make high speedup and low running time. Compared with the single-threaded CPU implementation, the speedup of multi-threaded CUDA implementation achieves more than 110. Keywords-Three-Dimensional Geological Modeling; Kriging; CUDA;Parallel; Optimization
Treadmill in Parkinson’s: influence on gait, balance, BDNF and Reduced Glutathione

Introduction: Parkinson’s disease (PD) is characterized by nigrostriatal degeneration, with dopaminergic depletion, and inflammatory and oxidative changes in the brain, leading to movement and coordination disorders. Recent studies have shown that treadmill training can be beneficial for these patients, but there is little evidence assessing the related blood parameters, such as oxidative stress and neurotrophin levels. Objective: Assess the influence of treadmill training for patients with Parkinson’s on gait, balance, Brain-Derived Neurotrophic Factor (BDNF) and reduced glutathione. Methods: Twenty-two patients with PD (Hoehn and Yahr II and III), older than 40 years, were randomly allocated to two groups: CG (n = 12) - drug treatment and IG (n = 10) - treadmill. Assessments related to functional capacity (quality of life, static and dynamic analysis of gait) and blood parameters such as GSH and BDNF were conducted before and after the eight-week intervention. Results: The demographic data of the groups were homogeneous in terms of age, sex, height, weight, time since disease onset, mini mental examination and the geriatric depression scale. Significant intergroup differences were found for the mental component summary, surface variation, laterolateral oscillation, antero-posterior oscillation and mean velocity in the post-intervention period. The IG exhibited a strong association between BDNF and GSH, with statistically significant values. Conclusion: It was concluded that controlled treadmill walking improves static balance, quality of life and plasma BDNF and GSH levels in patients with PD.
Contrasting and Evaluating Different Clustering Algorithms: A Literature Review

Clustering is a practice of splitting data into set of analogous objects; these sets are identified as clusters. Each cluster comprised of points that are alike among them and unalike compared to points of other cluster. This paper is being set to study and put side by side different data clustering algorithms. The algorithms under exploration are: k-means algorithm, hierarchical clustering algorithm, k-medoids algorithm, and density based algorithms. All these algorithms are analyzed on R-tool by taking same dataset under observation.
Individual Penalty Parameters for Multi-Block Problems

We derive an ADMM variant for a multi-block problems that allows for associating an individual penalty parameter to each block. The considered problems are inspired from [1]. Furthermore, we provide an optimal selection technique for the individual penalty parameters. I. ADMM WITH INDIVIDUAL PENALTY PARAMETERS We obtain an ADMM formulation with individual penalty parameters by applying standard ADMM to a modified problem. The initial setup is closely oriented at the problem in [1]. A. Multi-Block Problem We consider the problem
Effect of biologicals and chemicals seed treatments on growth, yield and yield attributing traits in maize (Zea mays L.)

The present investigation was carried out with variety of maize SIRI- 4527 conducted in RBD having three replications in the Central field of Department of Genetics and Plant Breeding, Sam Higginbottom Institute of Agriculture, Technology & Sciences, Allahabad during 2015-16. The growth, yield and yield attributing traits of maize variety SIRI 4527 were studied. The growth, yield and yield attributing parameters of maize variety were studied by seeds treated with T0= control, T1= thiram @3g/kg, T2= neem oil @8ml/200g, T3= deltamethrin @2g/kg, T4= Trichoderma viride @5g/kg, T5= seed soaked in distilled water for 12 hrs. Among the all seed treatments T3 deltamethrin was identified as the best treatment for the yield attributing parameters viz. number of cobs plnt-1, number of grain row cob-1, number of grain cob-1, seed index (g), garin yield plot-1 (kg).
From Skills and Competencies to Outcome‐based Collaborative Work: Tracking a Decade's Development of Personal Knowledge Management (PKM) Models

In the area of knowledge management, existing and past research has tended to focus on the enterprise level. The topic of personal knowledge management (PKM) has only seen growth recently although PKM is not new, as our ancestors sought ways to learn better and to improve their knowledge. However, there are very little empirical researches, or significant conceptual development has been done with PKM, and there is lacking paper to evaluate the previous PKM literatures. This paper aims to provide a critical review of the published literature related to PKM and the PKM models. From the previous literatures, it is clear that PKM is playing an important role at individual, organization, and social level. PKM has evolved from mere individual activities to something that are more outcome/impact oriented; from information handling skills to personal competencies, sense making, and self-reflection; from individual focused to a community and social collaborative focused. A new PKM model is developed based on the recent research done by the authors. There are four core components in this new PKM model, namely personal information management, personal knowledge internalization, personal wisdom creation, and interpersonal knowledge transferring. At the end of this paper, the Web 2.0-based PKM tools was evaluated and important roles were identified to facilitate the practicing of PKM. Copyright © 2011 John Wiley & Sons, Ltd.