Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of putative biological targets of KIAA 1456 in relation to its inhibition of ovarian cancer cell functions based on microarray profiling

Background: Substantial morbidity and mortality are associated with ovarian cancer. In our previous study, we confirmed that KIAA1456 inhibits ovarian cancer cell proliferation, invasion and metastasis; however, the mechanism and pathway underlying these activities are unknown. The aim of this study was to identify potential target genes of KIAA1456 in ovarian cancer cells. Methods: Microarray analysis was conducted to identify differentially expressed genes between HO8910/PM ovarian cancer cells (human ovarian cancer cells HO8910 possessing high metastatic ability) overexpressing KIAA1456 and control HO8910/PM cells lacking KIAA1456 overexpression. Based on results of gene chip-based screening, differences in gene expression between the two groups was validated through bioinformatic analyses, co-expression network construction, quantitative real-time PCR, and Western blotting. Results: Gene expression profiling identified 336 differentially expressed genes between the two groups, including 204 up-regulated genes and 132 down-regulated genes. These genes are primarily involved in gene expression and biopolymer biosynthesis. Further bioinformatic analyses indicated IQGAP1, TRIM29, UBE4A and SMARCA1 to be the most significantly differentially expressed target genes. The results of quantitative real-time PCR and Western blotting were consistent with the microarray findings. Conclusion: KIAA1456-induced IQGAP1, TRIM29, UBE4A and SMARCA1 up-regulation may be the mechanism underlying its inhibition of ovarian cancer cell proliferation, invasion and metastasis. Our study provides potential molecular targets for treatment of ovarian cancer.
Characteristic fluctuation of gate-all-around silicon nanowire MOSFETs induced by random discrete dopants from source/drain extensions

In this work, characteristic fluctuation of undoped gateall-around silicon nanowire MOSFETs induced by random discrete dopants (RDDs) penetrating from the source/drain (S/D) extensions is explored. Compared with the results of RDDs penetrating from the S extension, asymmetric variations of characteristics induced by RDDs penetrating from the D extension are suppressed owing to the different extent of screening effect on the surface of channel; in particular, the fluctuations of voltage gain and cut-off frequency are reduced from 24% and 21% to 7% and 10%, respectively, because of the effective fluctuation reduction of maximum transconductance near the D extension.
Pnf In Practice An Illustrated Guide

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Risk Factors for Overweight and Obesity among School-Age Children in Jos, Nigeria

Background: The prevalence of childhood overweight and obesity is increasing not only in the developed nations but also in the low and middle-income countries. Overweight and obesity are associated with untoward health complications thereby necessitating the need for effective preventive strategies which could largely be achieved if the risk factors, which are thought to vary culturally, are known. Hence, this study assessed the risk factors for overweight and obesity among the school-aged children in Jos, North Central, Nigeria. Methods: This was a cross-sectional study conducted among 600 pupils aged 6-13 years in Jos, Nigeria. Data on socio-demographic characteristics, dietary practices and level of physical activities of the pupils were obtained using pretested questionnaires. Body mass indexes derived from weights and heights measurement were used to assess the prevalence of overweight and obesity. The factors associated with overweight and obesity was determined using multiple logistic regression. Results: The risk factors that were significantly associated with overweight/obesity included parental upper socio-economic status (OR, 1.74; 95% CI: 1.05-2.23), television viewing of more than two hours per day (OR, 1.82; 95% CI: 1.31–2.33), vehicular transport to school (OR, 1.51; 95% CI: 1.213.13) and eating out at fast food joints (OR, 1.54; 95% CI: 1.21–1.87). Conclusions: This study has identified some modifiable potential risk factors for overweight and obesity among school-age children in Jos. Therefore, interventions targeting some of these factors could help in prevention and control of overweight/obesity among this age group.
Mathematical Modeling for General Load Double-Star Network with High Reliability

Contention-collision cancellation access control mode is an important access control mode in star networks.Due to the complexity of mathematical analysis for this mode in double-star networks,so far only the study on the condition of heavy load has been reported.Furthermore,the reliability of networking technology is dramatically improved,so that the instance of failed service is approximately ignored.Based on the above points,we formulate the general load double-star network combining light load and heavy load.Then we derive the expended waiting time,which is used to evaluate the performance of double-star network.Finally, we validate the mathematical result through simulation.The conclusion not only provides the theoretical foundation for the application of reliable double-star network,but also firstly resolves non-classical queueing model L \ G \ n = 2 \ RSS,and expands the theory of random service system.
Functional hybrid multilayered van der Waals heterostructures from graphene and self-assembled supramolecular 2D crystals

We demonstrate the soft realization of a new generation of functional hybrid van der Waals (vdW) heterostructures alternating two-dimensional (2D) materials and surface-confined supramolecular self-assemblies of porous crystals into three-dimensional (3D) stacks. We show that graphene can be transferred on top of a graphite-confined self-assembled 2D porous network, the cavities of which might be filled with functional guests. Subsequent growth of a new 2D host-guest self-assembled monolayer on top of this intermediate vdW heterostructure further extends it into the third dimension. Thus, this versatile approach, potentially not limited in the number of layers, allows creating on demand sequences by the careful choice of the 2D materials and of the presence or not and choice of guest molecules and permits to envisage innovative structures such as record-density bulk heterojunctions.
Does frequency in text instantiate entrenchment in the cognitive system

This paper investigates the relation between observed discourse frequencies of linguistic elements and structures, on the one hand, and assumptions concerning the entrenchment of these units in the minds of speakers, on the other. While it is usually assumed that there is a fairly direct correlation between frequency of use and degree of entrenchment, it is argued that many essential questions concerning this relation have remained unanswered so far: What is the role of absolute frequency of occurrence as opposed to frequency relative to a given reference construction? How are relative discourse frequencies to be captured statistically in such a way that, for instance, rare lexical items that typically occur in certain constructions can be differentiated from frequent lexical items which are more versatile but also observed to occur in the same construction, often with considerable absolute frequencies of occurrence? What are the psychological implications of different combinations of high and low absolute and relative frequencies? While the paper suggests solutions to some of these problems it also points to a number of unresolved issues to be addressed in the future and calls for a more modest and cautious way of interpreting quantitative observations in cognitive terms.
Constructing Stereoscopic Teaching Mode of Sports Food Based on Information Technology

Information technology takes the computer multimedia and network communication as the basis, which has brought new opportunities and challenges to the teaching of sports food. In this study, it takes the interpretation of teaching mode as the starting point, exploring the teaching mode based on information technology. Moreover, it analyzed the construction strategy of food stereoscopic teaching mode based on the interpretation.
NEAR-EQUIPARTITION JETS WITH LOG-PARABOLA ELECTRON ENERGY DISTRIBUTION AND THE BLAZAR SPECTRAL-INDEX DIAGRAMS

Fermi-LAT analyses show that the γ-ray photon spectral indices Γ γ ? > of a large sample of blazars correlate with the &ngr; F &ngr; ? > peak synchrotron frequency &ngr; s ? > according to the relation Γ γ = d – k log ? > &ngr; s ? > . The same function, with different constants d and k, also describes the relationship between Γ γ ? > and peak Compton frequency &ngr; C ? > . This behavior is derived analytically using an equipartition blazar model with a log-parabola description of the electron energy distribution (EED). In the Thomson regime, k = k EC = 3 b / 4 ? > for external Compton (EC) processes and k = k SSC = 9 b / 16 ? > for synchrotron self-Compton (SSC) processes, where b is the log-parabola width parameter of the EED. The BL Lac object Mrk 501 is fit with a synchrotron/SSC model given by the log-parabola EED, and is best fit away from equipartition. Corrections are made to the spectral-index diagrams for a low-energy power-law EED and departures from equipartition, as constrained by absolute jet power. Analytic expressions are compared with numerical values derived from self-Compton and EC scattered γ-ray spectra from Lyα broad-line region and IR target photons. The Γ γ ? > versus &ngr; s ? > behavior in the model depends strongly on b, with progressively and predictably weaker dependences on γ-ray detection range, variability time, and isotropic γ-ray luminosity. Implications for blazar unification and blazars as ultra-high energy cosmic-ray sources are discussed. Arguments by Ghisellini et al. that the jet power exceeds the accretion luminosity depend on the doubtful assumption that we are viewing at the Doppler angle.
Provably Secure Certificateless Aggregate Signature with Constant Length

Certificateless cryptosystem can solve the key escrow of ID-based cryptosystem and the public key authentication of certification-based cryptosystem.A formal model of certificateless aggregate signature was proposed.It also proposed a concrete certificateless aggregate signature scheme,in which the length of the signature is independent of the signers.Based on the hardness of computational Diffie-Hellman problem,the proposed scheme is secure against existential forgery under adaptive chosen messages and identities in random oracle mode.
Testing method for interface mode II fracture of plain concrete and fiber-reinforced cementitious composite

The performance of a bi-material interface is one of the major concerns in the repair or strengthening of concrete structural elements. In this study, a novel testing method for interface shear fractures of plain concrete and fiber-reinforced cementitious composites is proposed to avoid tensile failure during the test. Double-edge notched and unnotched specimens are utilized. Analytical, numerical, and experimental investigations are carried out to validate this method. The stress intensity factor K of the double-edge specimen with bi-materials is analytically obtained by the J-integral method. Based on ultra-high toughness cementitious composite (UHTCC)/concrete models, a numerical investigation of the proposed method is performed to confirm its suitability for shear fracture tests. Furthermore, the double-edge UHTCC/concrete specimens are experimentally investigated. The proposed method can be applied to obtain the interface shear parameters of concrete materials, which are needed for analytical or numerical analyses of bi-material interfaces in concrete structures.
Degradation of power output of photovoltaic modules due to accelerated ageing

This research work focusses on a type of indoor accelerated stress test (AST) which is an extension of the damp-heat (DH) test proposed by the international electrotechnical commission in IEC-61215-2, to reproduce the field failures by applying environmental stresses (temperature (T), relative humidity (RH)) to photovoltaic (PV) mini-modules as well as to compare whether the calculated activation energy associated with such degradation modes is consistent with the range of values reported in literature. In addition, the effect of curing time during PV module lamination on the durability of the PV-modules will be evaluated for crystalline silicon (c-Si) PV mini-modules produced from the same materials.
Recent Advances in Polymer and Polymer Composites for Electromagnetic Interference Shielding: Review and Future Prospects

Abstract Interference and chaos among different electromagnetic signals become the prime challenge of the current era which relies on wireless communication. Effective shielding of electromagnetic interference (EMI) waves with advanced materials thus emerges as major research field to prevent cross-talking among electronic devices. This article reviews the current research status of polymer-based EMI shielding materials with a particular focus on a high-performance hybrid with diverse nanomaterials filler. Compatibility and synergist of polymer host with filler materials have been illuminated in this article. Developments of polymer-based EMI hybrid with carboneous, metallic, magnetic and nano/micro materials have been summarized in detail. Emphasis has been given to discuss the role of nano/micro materials size and shape, their electronic, mechanical, chemical properties in tuning the EMI shielding effectiveness (EMI SE) of polymer hybrid. A specific correlation of surface chemical modification/doping of filler materials with EMI SE of their polymer hybrid have been summarized. In the last section, future research direction has been proposed to overcome the existing technological bottlenecks to realize most advanced EMI shielding materials for future use.
Predictive Learning in Two-Way Datasets

We introduce a new learning setting, called two-way predictive learning, as a special case of relational learning. We demonstrate that this learning setting has some properties that make an alternative learning approach, which we refer to as transposed learning, possible. We show how existing tasks fit this setting, discuss related work, and demonstrate experimentally that transposed learning can yield better results in multi-target learning. 1 Situating two-way learning Consider the following relational learning context: we have two types of objects A and B, and a relation R between them. The objects of type A have attributes Ai, i = 1, . , nA; the objects of type B have attributes Bi, i = 1, . , nB ; and the tuples in R have attributes Ri, i = 1, . , nR as well as a special attribute T called the target attribute. We denote the set of attributes of A, B,R as Attr(A), Attr(B), Attr(R), and their respective extensions as A, B, R. The relation R is complete: there is a relationship between each a ∈ A and each b ∈ B. Figure 1 summarizes this in an entity-relationship diagram. A B R A1 A2 A3 B1 B2
The Power of Bayesian Validation in Personnel Selection.

THOMPSON, ISAAC BENJAMIN. The Power of Bayesian Validation in Personnel Selection. (Under the direction of Joan J. Michael, Ph.D.) This study compares Bayesian and frequentist methodologies in obtaining criterion-related validity evidence across five common predictors of employee performance (cognitive ability, structured interviews, unstructured interviews, integrity, and conscientiousness). Through simulating 100,000 local studies randomly pulled from populations of one million, the first half of the research investigates what local sample size is needed to establish Bayesian criterion-related validity evidence. The second half of the research examines sample sizes needed to disprove wrongfully applied informed priors. Results include the local sample sizes required to validate common predictors of job performance and disconfirm wrongfully applied priors. On a general level, this study demonstrates the fundamental patterns of Bayesian methods, illustrating common scenarios for incorporating Bayesian methods into data-driven employee selection methods. Specifically, this study offers guidance on the strengths, weaknesses, and opportunities of Bayesian methods to ameliorate the situation in personnel selection where small sample sizes or weak effect sizes have traditionally marred empirical endeavors. The Power of Bayesian Validation in Personnel Selection by Isaac Benjamin Thompson A dissertation submitted to the Graduate Faculty of North Carolina State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy
Unsupervised Learning of Coherent and General Semantic Classes for Entity Aggregates

This paper addresses the task of semantic class learning by introducing a new methodology to identify the set of semantic classes underlying an aggregate of instances (i.e, a set of nominal phrases observed as a particular semantic role in a collection of text documents). The aim is to identify a set of semantically coherent (i.e., interpretable) and general enough classes capable of accurately describing the full extension that the set of instances is intended to represent. Thus, the set of learned classes is then used to devise a generative model for entity categorization tasks such as semantic class induction. The proposed methods are completely unsupervised and rely on an (unlabeled) open-domain collection of text documents used as the source of background knowledge. We demonstrate our proposal on a collection of news stories. Specifically, we model the set of classes underlying the predicate arguments in a Proposition Store built from the news. The experiments carried out show significant improvements over a (baseline) generative model of entities based on latent classes that is defined by means of Hierarchical Dirichlet Processes.
Impact of Alkali Treatment on Characterization of Tapsi (Sterculia Urens) Natural Bark Fiber Reinforced Polymer Composites

ABSTRACT Nowadays, research attention on composite materials accentuates where not only was their unique attributes agglomerated-alleviated weight and density, elevated impact and specific strengths, but also on where their bio-degradability and eco-friendliness transpires. In these, the alkali treated composites, to meet the needs of the aforementioned attributes and economy, with significant applicability in the market avenues. Hence, the present experimental study endeavors on investigating the effect of alkali treatment on mechanical and thermal properties of Tapsi fiber-reinforced polymer composites. Further, their characterization was done using Fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD) and scanning electron microscopy (SEM) studies. From the results, it is found that 15 gms Tapsi fiber reinforced with NaOH treated specimens exhibited 43.02 MPa and 160 MPa of tensile and flexural strengths, respectively, which is notable and 10 gms Tapsi fiber reinforced with NaOH treated specimens revealed more thermal stability. The results are witnessed that showcase the effect of alkali treatment on the aforementioned properties through different characterization techniques.
Fabrication of Capacitive Micromachined Ultrasonic Transducer Arrays Using Glass Reflow Process and Anodic Bonding

This paper presents a process for the fabrication of vacuum-sealed capacitive micromachined ultrasonic transducer (CMUT) arrays using glass reflow and anodic bonding techniques. The silicon through-wafer interconnects have been investigated by glass reflow process. Then, the patterned silicon-glass reflow wafer is anodically bonded to an SOI (silicon-on-insulator) wafer for the fabrication of CMUT devices. The CMUT 5 x 5 array has been successfully fabricated. The resonant frequency of the CMUT array with a one-cell radius of 100 μm and sensing gap of 3.2 um (distance between top and bottom electrodes) is observed at 2.83 MHz. The Q factor is approximately 1300 at vacuum chamber pressure of 0.01 Pa.
Clustering-dynamic-growing clustering algorithm based on sentence-words matrix

Web information is growing exponentially. However, exact and concise information cannot be obtained using conventional search engines. A clustering-dynamic-growing clustering algorithm was developed based on sentence-words matrix to solve this problem. The algorithm is a plane-partition algorithm including three steps. In the first step of Web data preprocessing, the text is extracted and filtered; in the second step, matrix sets of some documents are constructed after the sentence-words matrix of each document is formed; and in the third step similar documents are clustered using the clustering-dynamic-growing clustering algorithm. Experimental results show that the algorithm can keep semantic connection of documents with high document cluster accuracies.
Indium-Incorporation with InxGa1-xN Layers on GaN-Microdisks by Plasma-Assisted Molecular Beam Epitaxy

Indium-incorporation with InxGa1-xN layers on GaN-microdisks has been systematically studied against growth parameters by plasma-assisted molecular beam epitaxy. The indium content (x) of InxGa1-xN layer increased to 44.2% with an In/(In + Ga) flux ratio of up to 0.6 for a growth temperature of 620 °C, and quickly dropped with a flux ratio of 0.8. At a fixed In/(In + Ga) flux ratio of 0.6, we found that the indium content decreased as the growth temperature increased from 600 °C to 720 °C and dropped to zero at 780 °C. By adjusting the growth parameters, we demonstrated an appropriate InxGa1-xN layer as a buffer to grow high-indium-content InxGa1-xN/GaN microdisk quantum wells for micro-LED applications.
The kinship as a computational question

We present some problems of the Structural Anthropology area and we discuss about their computational complexity. We use mixed graphs to model the problems. Our interest is in developing algorithms to enumerate structures that occur in determined kinship networks. These structures are called rings. The rings of some people contain attributes as the rings with nomination and formal friendship connections from the Krahô people; and the chromatic rings from the Enawenê-Nawê people where each individual has a color (the color from the group that the individual belongs). In these cases, the rings of our interest have to obey a kind of pattern on the arcs and colors on the vertices. We also present a way to enumerate all rings of a kinship network without any particularity.
Sub-ppm NO2 Sensing in Temperature Cycled Mode with Ga Doped ZnO Thin Films Deposited by RF Sputtering

In this work Ga doped ZnO thin films have been deposited by RF magnetron sputtering onto a silicon micro-hotplate and their structural, microstructural and gas sensing properties have been studied. ZnO:Ga thin film with a thickness of 50 nm has been deposited onto a silicon based micro-hotplates without any photolithography process thanks to a low cost and reliable stencil mask process. Sub-ppm sensing (500 ppb) of NO2 gas at low temperature (50 °C) has been obtained with promising responses R/R0 up to 18.