Miracle-dz/UniFAR-FTUs huggingface dataset:
Synchronous primary cancers of the endometrium and ovary

Simultaneous detection of malignancy in the endometrium and ovary represents an uncommon event. The objective of the study was to clarify the possible factors that influenced on the survival. From 1977 to 2005, totally 27 patients fulfilled the criteria and were included in the study. The medical records and the pathologic reports were reviewed. The histologic determination was followed by the World Health Organization Committee classification, and cancer stage was based on the staging system of the FIGO. The Kaplan–Meier survival analyses were generated and compared by the log-rank test. The incidence of synchronous primary endometrial and ovarian cancers was 3.3% in patients with endometrial cancer and 2.7% in patients with ovarian cancer. The mean survival in the group of similar histology (n= 15) was 63 months, and 48 months in the group of dissimilar histology (n= 12) (P= 0.63). The mean survival in the group of early stage (n= 21) was 68 months and 15 months in the group of advanced stage (n= 6) with statistic significance (P= 0.0003). However, the impact of adjuvant therapy on survival did not reach statistic significance (P= 0.15 for chemotherapy; P= 0.69 for radiotherapy). We conclude that the majority of the patients belonged to concordant endometrioid histology in endometrium and ovary, and it tends to be early stage and low grade with favorable prognosis. The stage had more significant influence on the survival than the histology. Adjuvant therapy should be given especially in patients with advanced stage although the optimal management remained to be determined.
Improved Node Localization for WSN Using Heuristic Optimization Approaches

In Wireless Sensor Network, the localization of sensor nodes is an important problem in many applications. Normally in localization problem, the unknown position nodes will be determined their location through information of three or more anchors. In first part, some popular heuristic optimization methods like Genetic Algorithm (GA), Particle Swarm Optimization (PSO) will be compared with some recent optimization methods like Grey Wolf Optimizer (GWO), Firefly Algorithm (FA), and Brain Storm Optimization (BSO) algorithms in estimating the location of sensor nodes about accuracy. In second part, the improvement in localization algorithm is also proposed to enhance the number of nodes that can be localized. The results of our proposed improvement will be compared with original algorithm in both number of nodes that can be localized and the execute time with different deployment of networks.
Effect of IL-7 and IL-15 on T cell phenotype in myelodysplastic syndromes

Aberrant T cell phenotype is one of the characteristics of myelodysplastic syndromes (MDS). In this study, we detected an increased concentration of IL-15 in the plasma of MDS patients (n = 20) compared with that in the plasma of healthy controls (n = 20). In MDS patients, reduced naïve CD4+ and CD8+ T cells [16.11 ± 6.56 vs. 24.11 ± 7.18 for CD4+ T cells (p < 0.001) and 13.15 ± 5.67 vs. 23.51 ± 6.25 for CD8+ T cells (p < 0.001)] were observed. The reduced naïve and increased effector memory T cells were significantly correlated with IL-15 plasma level. Then, the effect of IL-15 and IL-7 was tested in vitro. Peripheral blood mononuclear cells from MDS were treated for 15 days with IL-15. This treatment significantly decreased naïve CD4+ (p < 0.001) and CD8+ (p < 0.001) T cells and correspondingly increased terminal memory CD4+ and CD8+ T cells (p < 0.001). Treatment with IL-7 increased naïve CD4+ (p < 0.05) and CD8+ (p < 0.001) T cells. Our results indicated that exposure to high levels of IL-15 may be involved in the T cell phenotype conversion observed in MDS. IL-7 may be one of the promising therapeutic candidates for recovering the effector immune compartment in MDS patients.
Sequestration of multiple RNA recognition motif-containing proteins by C9orf72 repeat expansions

Expansion of GGGGCC repeats in C9orf72 causes familial amyotrophic lateral sclerosis (ALS) and frontotemporal dementia, but the underlying mechanism is unclear. Using RNA pulldown and immunohistochemistry in ALS biosamples, Cooper-Knock et al. identify proteins that bind to the repeat expansions. Disrupted RNA splicing and/or nuclear export may underlie C9orf72-ALS pathogenesis.
DynamicWEB: Adapting to concept drift in COBWEB

Examining concepts that change over time has been an active area of research within data mining. This paper presents a new method that functions in contexts where concept drift is present, while also allowing for modification of the instances themselves as they change over time. This method is well suited to domains where subjects of interest are sampled multiple times, and where they may migrate from one resultant concept to another. The method presented here is an extensive modification to the conceptual clustering algorithm COBWEB, and is titled DynamicWEB.
Using Metalearning to Predict When Parameter Optimization Is Likely to Improve Classification Accuracy

Work on metalearning for algorithm selection has often been criticized because it mostly considers only the default parameter settings of the candidate base learning algorithms. Many have indeed argued that the choice of parameter values can have a significant impact on accuracy. Yet little empirical evidence exists to provide definitive support for that argument. Recent experiments do suggest that parameter optimization may indeed have an impact. However, the distribution of performance differences has a long tail, suggesting that in most cases parameter optimization has little effect on accuracy. In this paper, we revisit some of these results and use metalearning to characterize the situations when parameter optimization is likely to cause a significant increase in accuracy. In so doing, we show that 1) a relatively simple and efficient landmarker carries significant predictive power, and 2) metalearning for algorithm selection should be effected in two phases, the first in which one determines whether parameter optimization is likely to increase accuracy, and the second in which algorithm selection actually takes place.
Using SADTs to support irregular computational problems

There are well defined methods for supporting regular problems with scalable performance, typified by the HPF language and the BSP model. Less well understood is the solution of more irregular problems, supporting complex shared data structures and task dependencies, and typically requiring dynamic load balancing to sustain high performance. It is demonstrated how the use of Shared Abstract Data Types (SADTs), together with an extended BSP cost model, can support irregular problems in a structured manner An SADT is an extension of a serial ADT which allows the concurrent invocation of its methods. A number of SADTs are used to implement a solution of the travelling salesman problem on the Cray T3D machine, and a description of the restructuring of a parallel CFD code using SADTs is provided, with initial results given for the Cray T3E.
Art of constructing low-complexity encoders/decoders for constrained block codes

Suppose we are given a block code, that is, a list of at least 2/sup p/ q-bit self-concatenable codewords. A rate p:q block encoder is a dataword-to-codeword assignment from 2/sup p/ p-bit datawords to 2/sup p/ q-bit codewords, and the corresponding block decoder is the inverse of the encoder. We propose efficient heuristic computer algorithms (i) to eliminate the excess codewords; and (ii) to construct low hardware complexity block encoders/decoders. Constructing low-complexity encoder/decoders for very high rate codes is of immense economical value-as these codes may be implemented in mass-market magnetic recording systems. For several practical constraints, block encoders/decoders generated using the proposed algorithms are comparable in complexity to human-generated encoders/decoders, but are significantly simpler than lexicographical encoders/decoders.
Mice Display Sex Differences in Halothane-Induced Polymorphic Ventricular Tachycardia

Background—Molecularly engineered mice are extensively used as models of cardiovascular diseases, yet little is known about sex differences in the electrophysiology of mouse hearts. Methods and Results—This study investigated the influence of sex on drug-induced polymorphic ventricular tachycardia (PVT) in Langendorff-perfused male and female mice hearts (n=54) by injecting a bolus of halothane (1.75 mmol/L) in the perfusate while recording ECGs or optical action potentials (APs). There were no statistically significant differences between male and female hearts (n=54) with respect to mean RR (193±5 ms), PR (47±1 ms), QT intervals (101±3 ms), optical AP durations (APD75=23.11±4.2 ms), dispersion of refractory periods, and conduction velocities (n=5 male and 5 female). Halothane induced PVTs lasting a mean duration of 90 seconds; in female hearts, 55% of PVTs lasted longer than the median, whereas in male hearts 17% exceeded the mean (P <0.05). The total duration of PVTs exposed a marked sex difference, 378±144 seconds in female versus 27±10 seconds in male hearts (P <0.05). In optically mapped male hearts, halothane reduced APD75 (17.61±1.6 ms) and then elicited VTs (n=6 of 6), but in female hearts, halothane elicited PVTs (n=1 of 6) or arrested the hearts (n=5 of 6). Except for KCNE1, Northern blots (KCNQ1, MERG, Kv1.5, connexins 40 and 43, TREK1, and TASK1) did not detect sex differences. Conclusions—This mouse model reveals sex difference in response to a pharmacological challenge yet does not display sex differences in standard electrophysiological parameters. Differences in KCNE1 may contribute to sex differences uncovered by halothane.
Simple equalization of OFDM signal over doubly selective channels

In this paper, a piece-wise approximation for doubly selective channel is presented for improving the structure of the frequency-domain channel gain matrix of OFDM. The proposed model is exploited to simplify the zero-forcing (ZF) equalizer, of which the linearized case is studied and applied to the DVB-H receiver design. The simulation indicates that the developed equalizer enforces considerably the immunity of the DVB-H receiver to time selectivity with very little complexity increased.
e Super-Strong Person Case Constraint: Scarcity of Resources by Scale-Driven Impoverishment

Kambera, a Malayo-Polynesian language, shows a new version of the Person Case Constraint (PCC), disallowing any combination of phonologically weak objects except the one where the indirect object is 1st/2nd person and the direct object is 3rd person. Recent minimalist accounts fail to capture this new pattern, which, I claim, indicates the existence of a continuum within the constraint’s typology. In this paper, I am going to account for this new version as a syntactic rule-interaction eect between Agree and scale-driven Impoverishment. I claim that with this mechanism, set along the lines of an Optimality eoretic version of theMinimalist Programm, thewhole typology of the PCC can be accounted for.
Learning for work: Contested terrain?

Abstract This paper explores some common political dynamics and conflicting interests underlying the rise of neo-liberal skills training policies across the OECD throughout the decade of the 1990s. It focuses primarily on recent debates and policy developments in Australia and Aotearoa/New Zealand, drawing on related literature from Canada and Britain. In these and other countries influenced by the OECD, policy makers have forged an apparent consensus across social groups—business, labour, equity seeking groups, individuals—with diverse and sometimes conflicting interests in the structure and purposes of skills training. Such a ‘unitarist’ approach is built on the presumption of mutual benefit. Yet the resulting reforms have had a remarkably unilateral effect: they move control over and benefits from skill training away from individuals and unions and into the hands of private capital. Where skills development was once seen as a chance for individuals to gain bargaining power in the labour market, in the last decade it has become a means for employers to gain workers whose knowledge and skill is already tightly harnessed to the ‘bottom line’.
Reassessing the Equity Premium Puzzle Using Micro Data

I investigate empirically the ability of financial market incompleteness to help explaining the equity premium puzzle. I estimate the non-diversifiable component of the cross-sectional volatility of income and examine its cyclical properties. Equipped with these estimates, I compute the implied equilibrium Sharpe-ratio of excess returns and evaluate the ability of idiosyncratic risk to improve the performance of the Consumption Capital Asset Pricing model (CCAPM). Individual income is used as a proxy for consumption in estimating the aggregate pricing kernel. The results are supportive of the incomplete markets/limited participation model as a solution for the equity premium puzzle. JEL Classifications: D52, D90, G12.
Prevalence and Determinants of Spectacle Noncompliance in School Children given Spectacles in Refraction Camps

AIM OF THE STUDY: To study the prevalence and determinants of spectacle non-compliance at 6 to 12 months in school children given spectacles in refraction camps. MATERIALS AND METHODS: Rural school children who were given glasses at a subsidised rate in refraction camps were administered a questionnaire at 6 to 12 months from the date of issue of spectacles to determine the compliance rate and the reasons for noncompliance. RESULTS: Out of the 303 children who were administered the questionnaire, 144 students (47.5%) were found to be compliant to spectacles. Factors like age and sex were not significantly associated with spectacle compliance. The factors that could help predict compliance were unaided visual acuity in the better eye, parental education and the presence of a spectacle-wearing member in the family. The reasons for non-compliance were broken or lost glasses, peer pressure, parental concern, students’ belief that they did not benefit from wearing spectacles and problems like headache and watering. CONCLUSION: Lack of reliable refractive cut-offs and protocol to prescribe spectacles in children, absence of stress on quality optic dispensing and lack of awareness among children as well as parents about the visual benefits of wearing spectacles are the problems that need to be addressed in order to improve spectacle compliance among school children.
A MINI UNMANNED AERIAL VEHICLE (UAV): SYSTEM OVERVIEW AND IMAGE ACQUISITION

In the last years UAV (Unmanned Aerial Vehicle)-systems became relevant for applications in precision farming and in infrastructure maintenance, like road maintenance and dam surveillance. This paper gives an overview about UAV (Unmanned Aerial Vehicle) systems and their application for photogrammetric recording and documentation of cultural heritage. First the historical development of UAV systems and the definition of UAV-helicopte rs will be given. The advantages of a photogrammetric system on-board a model helicopter will be briefly discussed and compared to standard aerial and terrestrial photogrammetry. UAVs are mostly low cost systems and flexible and therefore a suitable alternative solution compared to other mobile mapping systems. A mini UAV-system was used for photogrammetric image data acquisition near Palpa in Peru. A settlement from the 13 th century AD, which was presumably used as a mine, was flown with a model helicopter. Based on the image data, an accurate 3D-model will be generated in the future. With an orthophoto and a DEM derived from aerial images in a scale of 1:7 000, a flight planning was build up. The determined flying positions were implemented in the flight control system. Thus, the helicopter is able to fly to predefined pathpoints automatically. Tests in Switzerland and the flights in Pinchango Alto showed that using the built-in GPS/INS- and stabilization units of the flight control system, predefined positions could be reached exactly to acquire the images. The predicted strip crossings and flying height were kept accurately in the autonomous flying mode.
Operating Options and Commodity Price Processes

Abstract This paper discusses the short-run dynamics of commodity prices. It deals with the interrelationships between price, inventory and price volatility as well as the effects of inventory and the producers’ operating flexibility on the dynamics of price in the short-run. It also illustrates how to model and estimate the stochastic process of commodity prices. We conclude that, in the short-run, producers’ operating flexibility reduces price volatility when the spot price is higher than the threshold price causing expansion in the scale of operations. However, we also conclude that operating flexibility can increase price volatility when the spot price is lower than the threshold price resulting in a contraction of operations. We demonstrate the failure of currently used parametric models in describing the stochastic process of commodity prices and suggest using non-parametric methods. We also recommend including the time trend in such a model. Key Words: Price, inventory, price volatility, operating options
Endogenous Signaling through α7-Containing Nicotinic Receptors Promotes Maturation and Integration of Adult-Born Neurons in the Hippocampus

Neurogenesis in the dentate gyrus occurs throughout adult mammalian life and is essential for proper hippocampal function. Early in their development, adult-born neurons express homomeric α7-containing nicotinic acetylcholine receptors (α7-nAChRs) and receive direct cholinergic innervation. We show here that functional α7-nAChRs are necessary for normal survival, maturation, and integration of adult-born neurons in the dentate gyrus. Stereotaxic retroviral injection into the dentate gyrus of wild-type and α7-knock-out (α7KO) male and female mice was used to label and birthdate adult-born neurons for morphological and electrophysiological measures; BrdU (5-bromo-2-deoxyuridine) injections were used to quantify cell survival. In α7KO mice, we find that adult-born neurons develop with truncated, less complex dendritic arbors and display GABAergic postsynaptic currents with immature kinetics. The neurons also have a prolonged period of GABAergic depolarization characteristic of an immature state. In this condition, they receive fewer spontaneous synaptic currents and are more prone to die during the critical period when adult-born neurons are normally integrated into behaviorally relevant networks. Even those adult-born neurons that survive the critical period retain long-term dendritic abnormalities in α7KO mice. Interestingly, local infection with retroviral constructs to knockdown α7-mRNA mimics the α7KO phenotype, demonstrating that the relevant α7-nAChR signaling is cell autonomous. The results indicate a profound role for α7-nAChRs in adult neurogenesis and predict that α7-nAChR loss will cause progressive impairment in hippocampal circuitry and function over time as fewer neurons are added to the dentate gyrus and those that are added integrate less well.
Recycling Poultry Feathers for Pb Removal from Wastewater: Kinetic and Equilibrium Studies

Abstract — Chicken feathers were used as biosorbent for Pb removal from aqueous solution. In this paper, the kinetics and equilibrium studies at several pH, temperature, and metal concentration values are reported. For tested conditions, the Pb sorption capacity of this poultry waste ranged from 0.8 to 8.3 mg/g. Optimal conditions for Pb removal by chicken feathers have been identified. Pseudo-first order and pseudo-second order equations were used to analyze the experimental data. In addition, the sorption isotherms were fitted to classical Langmuir and Freundlich models. Finally, thermodynamic parameters for the sorption process have been determined. In summary, the results showed that chicken feathers are an alternative and promising sorbent for the treatment of effluents polluted by Pb ions. Keywords — Sorption, chicken feathers, Pb, water treatment. I. I NTRODUCTION N recent years, water pollution with heavy metals has become an important environmental threat mainly because of the numerous industrial effluents containing these and other pollutants [1]. Heavy metals are highly toxic non-biodegradable, and tend to accumulate causing several diseases and health disorders in humans, and other living organisms [2]. In particular, Pb has been classified as a serious
Information systems and power: structural versus personal views

Power issues impact information systems design, development, and implementation. Our understanding of the sources of power affects how we interpret its potential impacts. This study examines the foundations of both personal and structural power sources. The outcomes of two well-known IS case studies are re-interpreted using the two perspectives. This study shows that IS researchers should employ a structural view of power when exploring its impact on IS design and implementation.
Wealth Effects on World Private Financial Saving

This paper shows that about 70% of the variance of the yearly change in the world private financial saving rate can be explained by lagged changes in world stock and housing values for the sample period 1982–2013. A theory consistent with these results is that world asset-value changes affect world consumption and investment spending, which affects the world private financial saving rate.
Enhançon solutions: Pushing supergravity to its limits

We extend the investigation of nonextremal enhan\ifmmode \mbox{\c{c}}\else \c{c}\fi{}ons, finding the most general solutions with the correct symmetry and charges. There are two families of solutions. One of these contains a solution with a regular horizon found previously; this previous example is shown to be the unique solution with a regular horizon. The other family generalizes a previous nonextreme extension of the enhan\ifmmode \mbox{\c{c}}\else \c{c}\fi{}on, producing solutions with shells that satisfy the weak energy condition. We argue that identifying a unique solution with a shell requires input beyond supergravity.
From Step Edge to Line Edge: Combining Geometric and Photometric Information

As a Gradient rlctector produces two extrema when ap-plird t,o a line, we propose an original method which is bawd on sr~cll a detector but which appropriately rcs-ponds to both step and line eclges. The ma.in idras are first to ident,ify line contours using geometric and pho-t,omctric propcrt,ics and second to s~tbstitute a line for a single cont.oi~r using a simple geometric algorithm.
A Metadata Search Approach with Branch and Bound Algorithm to Keyword Query in Relational Databases

Search engines on the Web have popularized the keyword-based search paradigm, while searching in databases users need to know a database schema and a query language. Keyword search techniques on the Web cannot directly be applied to databases because the data on the Internet and database are in different forms. So keyword search systems in relational databases have recently proposed. However existing systems limit type of keywords to database value terms, and generally assumed that answers are in instance level. Thus, this research aims to propose an effective approach for free-form keyword searching in databases which allows users to search either with database value terms, metadata terms or user terms. The metadata model accommodates these terms as well as underlying database semantics. Moreover, we present a branch and bound algorithm used for finding the optimal answer graphs. Our preliminary experiment results confirm precision of our approach.