Miracle-dz/UniFAR-FTUs huggingface dataset:
Assembly and Initial Characterization of a Panel of 85 Genomically Validated Cell Lines from Diverse Head and Neck Tumor Sites

Purpose: Human cell lines are useful for studying cancer biology and preclinically modeling cancer therapy, but can be misidentified and cross-contamination is unfortunately common. The purpose of this study was to develop a panel of validated head and neck cell lines representing the spectrum of tissue sites and histologies that could be used for studying the molecular, genetic, and phenotypic diversity of head and neck cancer. Methods: A panel of 122 clinically and phenotypically diverse head and neck cell lines from head and neck squamous cell carcinoma, thyroid cancer, cutaneous squamous cell carcinoma, adenoid cystic carcinoma, oral leukoplakia, immortalized primary keratinocytes, and normal epithelium was assembled from the collections of several individuals and institutions. Authenticity was verified by carrying out short tandem repeat analysis. Human papillomavirus (HPV) status and cell morphology were also determined. Results: Eighty-five of the 122 cell lines had unique genetic profiles. HPV-16 DNA was detected in 2 cell lines. These 85 cell lines included cell lines from the major head and neck primary tumor sites, and close examination shows a wide range of in vitro phenotypes. Conclusions: This panel of 85 genomically validated head and neck cell lines represents a valuable resource for the head and neck cancer research community that can help advance understanding of the disease by providing a standard reference for cell lines that can be used for biological as well as preclinical studies. Clin Cancer Res; 17(23); 7248–64. ©2011 AACR.
The devil you know? the effect of strong ties and resource flexibility on performance in entrepreneurial teams

Use of strong ties in entrepreneurial team formation is debated but not resolved. How does strength of tie between the founding entrepreneur and new entrepreneurial team member affect the team member’s performance? Our theoretical model illustrates the mediating role of resource flexibility: work role modification and potential to exit the working relationship. Data from German founding entrepreneurs on 170 entrepreneurial team members confirmed that strong ties increases role modification but reduces exit potential. Role modification improves team member’s performance, while exit potential has a negative effect. No relationship was found between strength of ties and resource flexibility for serial entrepreneurs.
Information Transparency in Multi-Channel B2B Auctions: A Field Experiment

With the large amount of data available via different channels, firms have increasingly viewed information transparency as an important component of their strategy. This paper examines how the disclosure of winners’ information affects sellers’ revenues in multi-channel, B2B sequential auctions. Using a field experiment, we find that bidders tend to pay higher prices when winners’ identities are concealed from public view. At the outset, such finding contradicts the prediction of the well-known linkage principle in auction theory. Our empirical analysis suggests that anonymizing winning bids might discourage tacit collusion and mitigate the declining price trend in these B2B sequential auctions. This paper contributes to the growing literature on information transparency in market design. It also provides valuable insights to practitioners in designing information revelation policies in complex B2B markets.
The Reluctance to Self-Disclose: Reflexive or Reasoned?

Despite a growing body of clinical literature advocating the thoughtful and judicious use of self-disclosure in psychoanalysis, there remains a reflexive reluctance to intervene in this way by many analysts of various theoretical persuasions. Why is this the case? Four motives for this reflexive reluctance to self-disclose are discussed: (1) theoretical reasons; (2) psychoanalytic authoritarianism; (3) fears of influencing the patient through suggestion; and (4) the analyst’s personality characteristics. Examining the reasons for this state of affairs should help to reduce the rigidity or orthodoxy with which clinical psychoanalysis is practiced.
Characterization of nucleotide binding sites of the isolated H(+)-ATPase from spinach chloroplasts, CF(0)F(1).

Soluble purified CF(0)F(1) from chloroplasts was either oxidized or reduced and then incubated with [alpha-(32)P]ATP in the presence or in the absence of Mg(2+). Depending on the conditions of incubation, the enzyme showed different tight-nucleotide binding sites. In the presence of EDTA, two sites bind [alpha-(32)P]ATP from the reaction medium at different rates. Both sites promote ATP hydrolysis, since equimolar amounts of [alpha-(32)P]ATP and [alpha-(32)P]ADP are bound to the enzyme. In the presence of Mg(2+), only one site appears during the first hour of incubation, with characteristics similar to those described in the absence of Mg(2+). However, after this time a third site appears also permitting binding of ATP from the reaction medium, but in this case the bound ATP is not hydrolyzed. Covalent derivatization by 2-azido-[alpha-(32)P]ATP was used to distinguish between catalytic and noncatalytic sites. In the presence of Mg(2+), there are at least three distinct nucleotide binding sites that bind nucleotide tightly from the reaction medium: two of them are catalytic and one is noncatalytic.
Targeting Complement Pathways During Cold Ischemia and Reperfusion Prevents Delayed Graft Function

The complement system plays a critical role in ischemia–reperfusion injury (IRI)–mediated delayed graft function (DGF). To better understand the roles of complement activation pathways in IRI in kidney transplantation, donor kidneys were treated ex vivo with terminal complement pathway (TP) inhibitor, anti‐rat C5 mAb 18A10, or complement alternative pathway (AP) inhibitor TT30 for 28 h at 4°C pretransplantation in a syngeneic kidney transplantation rat model. All 18A10‐ and 67% of TT30‐pretreated grafts, but only 16.7% of isotype control‐pretreated grafts, survived beyond day 21 (p < 0.01). Inhibitor treatment in the final 45 min of 28‐h cold ischemia (CI) similarly improved graft survival. Systemic posttransplant treatment with 18A10 resulted in 60% increased graft survival beyond day 21 (p < 0.01), while no TT30‐treated rat survived > 6 days. Our results demonstrate that AP plays a prominent role during CI and that blocking either the AP or, more effectively the TP prevents ischemic injury and subsequent DGF. Multiple complement pathways may be activated and contribute to reperfusion injury; blocking the TP, but not the AP, posttransplant is effective in preventing reperfusion injury and increasing graft survival. These results demonstrate the feasibility of using complement inhibitors for prevention of DGF in humans.
Perceptual sparse modeling of wideband speech signals

In this paper, we introduce a perceptual algorithm, called Perceptual Orthogonal Matching Pursuit (POMP), for efficient sparse modeling of wideband speech signals. As its name suggests, POMP is basically built upon the well-known Orthogonal Matching Pursuit (OMP) but differs from it in that it accounts for the human hearing properties. The perceptual component within POMP algorithm is represented by the perceptual weighting filter embedded into the distortion measure. Through a series of locally optimal updates, this measure is aimed at being minimized. POMP has the advantage of being able to handle any real dictionary, as opposed to state of the art perceptual algorithms conceived to handle sinusoidal dictionaries exclusively. We exemplify the application of the algorithm to sparse modeling of wideband speech signals using predefined and adaptive dictionaries. Simulation results show that POMP outperforms OMP and provides a significant improvement of atom selection over the considered dictionary.
On the Dual-Decomposition-Based Resource and Power Allocation with Sleeping Strategy for Heterogeneous Networks

In this paper, the problem of radio and power resource management in long term evolution heterogeneous networks (LTE HetNets) is investigated. The goal is to minimize the total power consumption of the network while satisfying the user quality of service determined by each target data rate. We study the model where one macrocell base station is placed in the cell center, and multiple small cell base stations and femtocell access points are distributed around it. The dual decomposition technique is adopted to jointly optimize the power and carrier allocation in the downlink direction in addition to the selection of turned off small cell base stations. Our numerical results investigate the performance of the proposed scheme versus different system parameters and show an important saving in terms of total power consumption.
Iris detection for person identification using multiclass SVM

There are critical applications which need high confidentiality and high security. For this, biometric devices are great tools. In the proposed system, the biometric authentication system using iris detection is presented. In this iris image is preprocessed then Hough transform is applied and finally, the image is normalized using Daugman's rubbersheet model. Feature extraction is done using Gray Level Co-occurrence (GLCM) technique and classification is done using multiclass SVM. This system is evaluated on UPOL database and it gives 94.23% accuracy.
The effects of environmental uncertainty conditions on organisational innovativeness and performance of SMEs.

Innovativeness is considered to be an important factor for firm’s survival and their ability to compete in today’s market. Therefore, researchers have become more interested in studying innovativeness and its drivers. Studies have also showed that there’s a positive relationship between environmental uncertainty and innovativeness. Organisations are responsive to turbulent environments through innovativeness in order to stay competitive and improve performance. The purpose of this thesis is to rank critical environmental factor’s effect on organisational innovativeness of small and medium enterprises in Sweden, through investigating the impact of market/demand turbulence and technological turbulence on innovativeness. Additionally, we want to examine the relationship between innovativeness and business performance, as well as the indirect relationship between environmental uncertainty and performance. Based on previous literature, we have developed hypotheses and proposed a research model to study the formulated problems. Data for the study were collected from 50 SMEs in Sweden, through a survey with well-known scales and were analysed using regression analysis. The results of the study, reveal that environmental uncertainty has a positive effect on the innovativeness of SMEs. In addition, technological turbulence showed to have a positive significant effect on an SME’s innovativeness; however, contrary to general belief, market/demand turbulence did not have any prominent effect. Our findings also proved that innovativeness have a strong positive impact on business performance, and that only technological turbulence have an indirect influence on performance through innovativeness. This study aimed to contribute to the management a better understanding, of which conditions of environmental turbulences SMEs should adapt to, in order to increase their level of innovativeness. Keywords: environmental uncertainty, organizational innovativeness, performance, market/demand turbulence, technological turbulence, SMEs.
Modeling of PV module to study the performance of MPPT controller under partial shading condition

This paper proposes the mathematical modeling of Photovoltaic (PV) module using single diode model and use it to study the performance of PV array under partial shading condition. Partial shading is one of the major causes of reducing energy output in solar PV array. Due to partial shading, PV characteristics get more complex. In order to extract maximum power under shading condition, its performance has to be studies. In this paper, Matlab based mathematical model is used to study the performance of Perturbation & Observation (PO) based Maximum Power Point Tracker (MPPT) controller under partial shading condition. Further, ecosense Insight Solar PV Training kit is used to justify the mathematical model.
Mouse experimental myopia has features of primate myopia.

PURPOSE Several recent studies have suggested that experimental myopia can be induced in mice. However, it is not clear what role the photopic visual input plays in this process and whether mouse myopia is similar to human myopia. The purpose of this study was to carry out an in vivo high-resolution analysis of changes in ocular components and refractive state of the eye upon induction of experimental myopia in mice. METHODS A high-resolution small animal MRI system and a high-resolution automated eccentric infrared photorefractor were used to analyze changes of the refractive state and ocular components in C57BL/6J mice associated with experimental myopia induced by diffusers and -25 D lenses under photopic conditions. RESULTS The authors found that both diffusers and -25 D lenses induce myopia in C57BL/6J mice under photopic conditions (continuous light, 200 +/- 15 lux). The extent of myopic shift induced by -25 D lenses was greater than the shift induced by diffusers (-15.2 +/- 0.7 D, lenses; -12.0 +/- 1.4 D, diffusers). Myopia in mice is attributed to an increase in size of the postequatorial segment of the eye. Experimental myopia in mice can be induced only during the susceptible period in postnatal development, which ends around postnatal day 67. CONCLUSIONS Both diffusers and spectacle lenses induce myopia in mice under photopic conditions, during the susceptible period in postnatal development. Myopia in mice is associated with elongation of the vitreous chamber of the eye, as in humans and nonhuman primates.
TOWARDS A MIXED REALITY LEARNING ENVIRONMENT IN THE CLASSROOM

In this paper, we present a novel study that emphasizes the use of Augmented Reality (AR) as a natural complement for the Virtual Reality Learning Environment (VRLE) model, towards a general acceptance of Mixed Reality Learning Environment (MRLE) in the classroom. Handheld devices help this scheme serving as general purpose computers available for use by other applications. AR has not been explored deeply enough to have full acceptance of use in the classroom. We present an application in which a tablet PC was used to evaluate our game, working with multimodal interaction provided by a tactile screen and an accelerometer. It can be played in two modes: combining AR and non-AR (NAR), and only NAR. Seventy-three children of primary school tested the system. For the learning outcomes, there were no statistically significant differences between both modes, but the AR mode enhanced highly user satisfaction and engagement. This confirms our hypothesis that AR can be an excellent complement to VRLE for the use in the classroom.
A permutation test sensitive to differences in areas for comparing ROC curves from a paired design

The area under the receiver operating characteristic (ROC) curve (AUC) is a widely accepted summary index of the overall performance of diagnostic procedures and the difference between AUCs is often used when comparing two diagnostic systems. We developed an exact non‐parametric statistical procedure for comparing two ROC curves in paired design settings. The test which is based on all permutations of the subject specific rank ratings is formally a test for equality of ROC curves that is sensitive to the alternatives of AUC difference. The operating characteristics of the proposed test were evaluated using extensive simulations over a wide range of parameters.
Docking interactions of the JNK scaffold protein WDR62

JNK (c-Jun N-terminal kinase) is part of a MAPK (mitogen-activated protein kinase) signalling cascade. Scaffold proteins simultaneously associate with various components of the MAPK signalling pathway and play a crucial role in signal transmission and MAPK regulation. WDR62 (WD repeat domain 62) is a JNK scaffold protein. Recessive mutations within WDR62 result in severe cerebral cortical malformation. In the present study we demonstrate the association of WDR62 with endogenous and overexpressed proteins of both JNK2 and the JNK2-activating kinase MKK7 (MAPK kinase 7). Association of WDR62 with JNK2 and MKK7 occurs via direct protein–protein interactions. We mapped the docking domain of WDR62 responsible for the association with JNK. WDR62 interacts with all JNK isoforms through a D domain motif located at the C-terminus. A WDR62 mutant lacking the putative JNK-binding domain fails to activate and recruit JNK to cellular granules. Furthermore, a synthetic peptide composed of the WDR62 docking domain inhibits JNK2 activity in vitro. WDR62 association with JNK2 requires both the JNK CD and ED domains, and the binding requisite is distinct from that of the previously described JNK2 association with JIP1 (JNK-interacting protein 1). Next, we characterized the association between WDR62 and MKK7. WDR62 associates directly with the MKK7β1 isoform independently of JNK binding, but fails to interact with MKK7α1. Furthermore, MKK7β1 recruits a protein phosphatase that dephosphorylates WDR62. Interestingly, a premature termination mutation in WDR62 that results in severe brain developmental defects does not abrogate WDR62 association with either JNK or MKK7. Therefore such mutations represent a loss of WDR62 function independent of JNK signalling.
Towards an Ontology-Driven Evolutionary Programming System for Answering Natural Language Queries against RDF Data

In this paper, we present an ontology-driven evolutionary learning system for natural language querying of complex relational databases or RDF graphs to give users who are not familiar with formal database query languages the opportunity to express complex queries against a database. This approach learns how to arrange and when to use given functions to process Natural Language Queries (NLQ).
Stature estimation from bones of South African whites

Stature reconstruction from skeletal remains forms part of the forensic anthropological analysis for the purpose of identification of the individual. The aim of this study was to derive regression formulae for the estimation of total skeletal height, and thereafter to predict stature in South African whites using long bone lengths. The sample comprised 98 white male and 71 white female skeletons from the Raymond A. Dart Collection of Human Skeletons and the Pretoria Bone Collection. For each individual, total skeletal heights and maximum long bone lengths were measured and used to produce univariate regression formulae, with resulting correlations (r) ranging between 0.56 and 0.96. The lowest standard error of estimate (1.75 for females, 1.92 for males) was obtained when the lumbar spine, femur and tibia were used in combination, while the highest SEE (5.21 for females, 5.54 for males) was found when the lumbar spine was used on its own. Recently published corrections for soft tissue additions to obtain living height from total skeletal height make these kinds of formulae more usable, and will reduce the problem of underestimation. The derived formulae are population specific and are designed for use in forensic skeletal analyses of South African whites, but are also generally relevant to theoretical and practical issues in forensic anthropology.
Counterparty Credit Risk, Collateral and Funding: With Pricing Cases For All Asset Classes

The book’s content is focused on rigorous and advanced quantitative methods for the pricing and hedging of counterparty credit and funding risk. The new general theory that is required for this methodology is developed from scratch, leading to a consistent and comprehensive framework for counterparty credit and funding risk, inclusive of collateral, netting rules, possible debit valuation adjustments, re-hypothecation and closeout rules. The book however also looks at quite practical problems, linking particular models to particular ‘concrete’ financial situations across asset classes, including interest rates, FX, commodities, equity, credit itself, and the emerging asset class of longevity. The authors also aim to help quantitative analysts, traders, and anyone else needing to frame and price counterparty credit and funding risk, to develop a ‘feel’ for applying sophisticated mathematics and stochastic calculus to solve practical problems. The main models are illustrated from theoretical formulation to final implementation with calibration to market data, always keeping in mind the concrete questions being dealt with. The authors stress that each model is suited to different situations and products, pointing out that there does not exist a single model which is uniformly better than all the others, although the problems originated by counterparty credit and funding risk point in the direction of global valuation. Finally, proposals for restructuring counterparty credit risk, ranging from contingent credit default swaps to margin lending, are considered.
Option Volatility & Pricing: Advanced Trading Strategies and Techniques

One of the most widely read books among active option traders around the world, "Option Volatility & Pricing" has been completely updated to reflect the most current developments and trends in option products and trading strategies. It covers pricing models, volatility considerations, basic and advanced trading strategies, and risk management techniques. Written in clear, easy-to-understand fashion, the book points out the key concepts essential to successful trading.Drawing on his experience as a professional trader, author Sheldon Natenberg examines both the theory and reality of option trading. He presents the foundations of option theory, and shows how this theory can be used to identify and exploit trading opportunities. He explains a wide variety of trading strategies and shows how to select the strategy that best fits each trader's view of market conditions and individual risk tolerance. The new sections include: expanded coverage of stock option; strategies for stock index futures and options; a broader, more in-depth discussion volatility; analysis of volatility skews; and intermarket spreading with options.