Miracle-dz/UniFAR-FTUs huggingface dataset:
Heterogeneity in Price Stickiness and the New Keynesian Phillips Curve

Standard sticky price models do not account for heterogeneity in rmsprice setting behavior. However, there is ample evidence that rms di¤er substantially in the frequency of price adjustments (e.g. Bils and Klenow, 2004 and Dhyne et al., 2005). In this paper I derive a generalized new Keynesian Phillips curve that accounts for heterogeneity in price stickiness across sectors. It di¤ers from the standard one in two important ways: rst, the coe¢ cient on the output gap now depends on the distribution of frequencies of price adjustment, and second, it features a new, endogenous shift term that is proportional to a weighted average of the sectoral relative prices. Despite ination being more sensitive to the output gap in heterogeneous economies than in comparable identical rms economies, the process of adjustment to nominal shocks tends to be more sluggish in the former, owing to the endogenous shift term associated with the distribution of sectoral relative prices. In the presence of strategic complementarities in price setting, the decisions of rms with higher adjustment frequencies are inuenced by the existence of rms with lower frequencies, which end up having a disproportionate e¤ect on the aggregate price level. I calibrate the model using an empirical distribution of frequencies of price changes in the U.S. economy derived from Bils and Klenow (2004), and nd that reproducing the dynamics of a truly heterogeneous economy with a model based on identical rms usually requires larger degrees of nominal rigidity than the average found in the data. I would like to thank Kevin Amonlirdviman, Vasco Cúrdia, Ricardo Reis, Christopher Sims, Michael Woodford, and participants from ESWC 2005, LAMES 2004, EEA Meeting 2004, Student Macro/International Workshop at Princeton University, and EPRU seminar at the University of Copenhagen for comments, in some cases on earlier work that was partially incorporated into this paper. It has been greatly improved by suggestions from David Romer and two anonymous referees. Any remaining errors are my own. Financial support from Princeton University, under the Harold Willis Dodds Merit Fellowship in Economics and the Charlotte Elizabeth Procter Fellowship, is gratefully acknowledged. Address for correspondence: Department of Economics, Princeton University, Fisher Hall, Princeton, NJ 08544-1021, USA. E-mail: cvianac@princeton.edu.
Non-uniqueness of Solutions for Constraint Equations corresponding to Einstein Field Equations Coupled with Scalar Fields

In this paper we consider constraint equations corresponding to Einstein field equations coupled with massless scalar fields. By using conformal method and some results from Bifurcation Theory, we prove that in the case of space-times admitting constant mean curvature hypersurfaces, solution of constraint equations is not unique. We also remark that same result holds if mean curvature of hypersurfaces is not constant.
Relationship of the Shape of Epiglottis and the Endotracheal Intubation

Background and Purpose: Surgeons may encounter rare cases of difficult intubation. It is known the Cormack and Lehane grading as the prediction method of the intubation difficulty. However, the shape of the epiglottis greatly affects the visible range of the vocal cords. We report a classification of the shape of the epiglottis and the relationship between the shape and the grading. Target and Method: By observation at their laryngeal expansion at tracheal intubation for 181 adult thyroid patients undergoing surgery, it was estimated the shape of the epiglottis and the grading. Result: The shapes of the epiglottis were classified into five types. The classification of the shape was possible to know the difficulty of intubation and the frequency based on the grading. If the risk of intubation was recognized the shape, it was possible to infer immediately without the larynx expansion. Discussion: The three axes theory for the easy intubation has been explained. If the three axes are close to parallel, the success of the tracheal intubation is depending on the shape of the epiglottis. There has been no discussion about the shape of the epiglottis that makes it difficult to see the vocal cords until now. Many have been reported the intubation of children to be difficult because of the shape of the epiglottis. This study for adults is consistent with the cases of children. Many new safe and easy tools for difficult intubation are easily not considered the influence of the shape of the epiglottis. Conclusion: Syphilis seropositive cases were observed among married women who come from a rural area with the age group of 26-35 years. Therefore, health education on etiology, prevention, and control of syphilis has to be provided for the community.
HERITABLE VARIATION AND PREDICTED SELECTION RESPONSE OF GREEN YIELD AND ITS COMPONENT TRAITS IN VEGETABLE AMARANTH

Twenty two genotypes of vegetable amaranth were evaluated duringsummer season of 2007in the lateritic soil of West Bengal.Observationswere recorded on leaf number, leaf length : width ratio, plant weight (g), stem fresh weight (g), leaf fresh weight (g), leaf : stem ratio (fresh), marketable maturity (days)and green yield (q ha). The results revealed statistically significant differences among genotypes for all traits showing genetic variability in the experimental material. High to moderate estimates (>30%) of coefficients of variation (GCV and PCV), high (>50%) heritability (broad sense) and high to moderate (>35%) genetic advance for majority of traits indicated the possibility of improvement in green yield and its components through selection. The correlations between green yield and its components such as leaf number, leaf length : width ratio, plant weight, stem fresh weight and leaf fresh weight were significant and positive indicating the possibility of indirect selection and realizing a correlated response. However, the leaf : stem ratio (fresh) showed negative correlation with green yield and positive correlation with marketable maturity which suggestedselectionof lower leaf : stem ratio (fresh) forobtaining high green yield with early maturity.
Motivation in human computation task design

There are no real systematic studies on motivational design in human computation tasks. However, motivating people to do tasks is essential for the success of your human computation project. This survey paper gives overview of diﬀerent motivation aspects for human computation by reviewing motivational design done in the past. Furthermore, it hopes to give the reader insight into the eﬀect of motivational aspects on task design by providing heuristics. Finally, it gives suggestions for further research in this ﬁeld.
Efﬁcient GPU Implementation of Bioinformatics Applications

—Biological sequence data is becoming more accessible to researchers around the world. In particular, rich databases of protein and DNA sequence data are already made available to biologist and their size is increasing every day. However, all this obtained information needs to be processed and classiﬁed. Several bioinformatics algorithms, such as the Needleman-Wunsch and the Smith-Waterman algorithm, have been proposed for this purpose. Both consist on the execution of dynamic programming schemes which allow the usage of parallelism to achieve a better performance execution. Under this context, this thesis proposes the integration of two previously presented parallel implementations: an adaptation of SWIPE implementation, for multi-core CPUs that exploits SIMD vectorial instructions, and an implementation of the Smith-Waterman algorithm for GPU platforms (CUDASW++ 2.0). Accordingly, the presented work offers an uniﬁed solution that tries to take advantage of all computational resources that are made available in heterogeneous platforms, composed by CPUs and GPUs, by integrating a convenient dynamic load balancing layer. The obtained results show that the attained speeup can reach values as high as 6x, when executing in a quad-core CPU and two distinct GPUs.
Systematics Of Antigonon And Tropical Eriogonoideae: Phylogeny, Taxonomy, And Invasion Biology

Recent phylogenetic studies have provided a revised hypothesis of the evolutionary relationships within Polygonaceae, particularly regarding placement of certain tropical taxa. Based on phylogenetic data, we recognize three subfamilies: Eriogonoideae, Polygonoideae and Symmerioideae. Within the Eriogonoideae we accept six tribes, two of which, Leptogoneae and Gymnopodieae, are new.
Low-Rank Optimization with Trace Norm Penalty

The paper addresses the problem of low-rank trace norm minimization. We propose an algorithm that alternates between fixed-rank optimization and rank-one updates. The fixed-rank optimization is characterized by an efficient factorization that makes the trace norm differentiable in the search space and the computation of duality gap numerically tractable. The search space is nonlinear but is equipped with a Riemannian structure that leads to efficient computations. We present a second-order trust-region algorithm with a guaranteed quadratic rate of convergence. Overall, the proposed optimization scheme converges superlinearly to the global solution while maintaining complexity that is linear in the number of rows and columns of the matrix. To compute a set of solutions efficiently for a grid of regularization parameters we propose a predictor-corrector approach that outperforms the naive warm-restart approach on the fixed-rank quotient manifold. The performance of the proposed algorithm is illustrated on p.
Entrepreneurial Orientation and Firm Profitability: Evidence from Lagos State Nigeria

Small and medium sized enterprises (SMEs) contribute largely to economic of Nigeria, but are faced with epileptic performance resulting into low market share, poor sales growth, and weak profitability. This paper examined the effect of entrepreneurial orientation (EO) on the profitability of SMEs in Lagos State, Nigeria.Survey research design was adopted. The target population was 4,535 SMEs in Lagos State. The population comprised SMEs in manufacturing, real estate, agricultural and services sectors in Ikeja, Badagry, Ikorodu, Lagos Island, and Epe of Lagos State. Cochran (1997) sample size formula was used to select sample size of 460 owner-managers. Multistage sampling technique was used in selecting the respondents. A structured questionnaire was adapted and validity established. Cronbach’s alpha reliability coefficients for the constructs ranged from 0.79 to 0.95. Four hundred and sixty copies of the questionnaire were administered and 99% response rate was recorded. Data were analyzed using descriptive and inferential statistics. The findings revealed that proactiveness and risk taking had positive significant effect on profitability and competitive aggressiveness exhibited a negative significant effect on profitability, while autonomy and innovativeness werestatistically insignificant.The paper concluded that EO has a significant effect on profitability of SMEs, and recommended that proactiveness and risk-taking are owners/managers’ ingredients profitability.
Control of hydraulically–actuated manipulators with dead–band and time–delay uncertainties*

The research behind this article is motivated by robotic operations in radiologically contaminated environments, notably for nuclear decommissioning. However, the experiments reported within are based on a recently reconfigured, hydraulically-actuated, dual manipulator robot that is being used for R&D into both tele-operation and autonomy in a non-active laboratory setting. One element of this research concerns the development of novel control systems to address time-delay and deadband uncertainties. The article briefly discusses some preliminary results and plans in this regard. Recent improvements to the hardware demonstrator are also described.
Distribution of dwarfing genes Rht-B1b and Rht-D1b in Indian wheat (Triticum aestivum) cultivars detected by functional markers

The present study was conducted to determine the frequency of allelic variations for Rht-B1b and Rht-D1b in wheat(Triticum aestivum L.) cultivars grown in different agro-climatic zones of India and to investigate the agronomic performance (plant height, average yield, no. of spikelets/spike, no. of seeds/spike and 1 000 grain weight) with allelic variants of Rht genes. One hundred Indian wheat varieties released during the period of 1968-2006 were screened with PCR based STS marker for Rht-B1b and Rht-D1b. Rht-B1b allele predominates in the North Western Plains Zone of India with a frequency of 25%. Rht-D1b was found in the 15% of the cultivars which are mainly cultivated in Central Zone. None of the dwarfing allele had been found in the cultivars of Northern Hills Zone. Cultivars having Rht-B1b allele had significantly highest average yield than wheat genotypes without any of these dwarfing allele. Rht-B1b+Rht-D1b allele was found in 7% of the cultivars out of the selected ones dominating North Western Plains Zone.
Preliminary safety, efficacy, and PK/PD characterization from GARNET, a phase I clinical trial of the anti-PD-1 monoclonal antibody, TSR-042, in patients with recurrent or advanced MSI-H endometrial cancer.

Trial of the Anti-PD-1 Monoclonal Antibody, TSR-042, in Patients with Recurrent or Advanced MSI-H Endometrial Cancer Ana Oaknin,1 Susan L. Ellard,2 Charles Leath, III,3 Victor Moreno,4 Rebecca Kristeleit,5 Wei Guo,6 Sharon Lu,6 David Jenkins,6 Kristen McEachern,6 Kai Yu Jen,6 Steven Dunlap,6 Ellie Im,6 Lucy Gilbert7 1Vall d ́Hebron University Hospital, Vall d ́Hebrón Institute of Oncology (VHIO), Barcelona, Spain; 2British Columbia Cancer Agency and University of British Columbia, Vancouver, BC, Canada; 3University of Alabama at Birmingham, Birmingham, AL, USA; 4START MADRID-FJD, Hospital Fundación Jiménez Díaz, Medical Oncology Department, Madrid, Spain; 5University College London, UCL Cancer Institute, Department of Oncology, London, United Kingdom; 6TESARO, Inc., Waltham, MA, USA; 7Research Institute-McGill University Health Centre, Montreal, QC, Canada
Sustainability and the Competitive Advantage: The Perspective of the Logistics Industry

Globalization plays a major role in this era. It encourages global trade due to the free trade agreement between countries and technology advancement. These factors boost the global supply chain demand and freight transport in the logistics industry. In turn, the more frequent freight transport is, the more impact it has on the environment because of the emission and pollution it generated. To stabilize the environment and supply chain activities, sustainability should be implemented to reduce the negative impacts it has on the environment. Some research has shown that sustainable actions improve consumer’s trust and the company’s reputation that will help companies to sustain their competitive advantage. Unfortunately, sustainability research in sustaining competitive advantage only received limited attention. The authors hope that this paper could fill the gap in that matter. Thus, the research question of this paper would be how does sustainability matter in the logistics industry to sustain competitive advantage? Two theories will be used to discuss this matter, which are Research-Based View (RBV) and Dynamic Capabilities (DC) theory. The result showed that companies who adopt sustainable practices within its operations could sustain their competitive advantage due to the improvement of its customer’s satisfaction and the company’s Environmental, Social, and Governance (ESG) factors ratings. Also, the use of DC theory complements the RBV in a sense that resources should be maintained and developed rather than taken as granted. It is relevant to discuss this issue since the demand for logistics is increasing over time, and the activities will impact the environment to a greater extent.
Sample-Specific Models for Precision Medicine

Modern applications of artificial intelligence are often characterized by training large machine learning (ML) models on large datasets. These datasets are composed of overlapping groups of samples, either explicitly (e.g. the large dataset is created by combining multiple datasets) or implicitly (e.g. the samples belong to latent subpopulations). Traditional ML models prefer weakly-predictive global patterns over highly-predictive localized effects, a problem because localized effects are critical to understanding complex processes such as in applications to computational biology (in which samples belong to latent cell types) and precision medicine (in which patients belong to latent disease sub-types). In this thesis, we propose that: The performance of intelligent computer systems can be improved by treating different samples as different tasks. This is especially helpful in domains such as computational biology and precision medicine, in which we care about understanding the highly-specific context of each sample. We propose to forsake the quixotic desire to estimate a single large model, and instead estimate a collection of many small models. For large collections, each model is responsible for only a small number of samples, enabling simultaneous interpretability and accuracy. As we show in this thesis, this framework can be scaled to estimate different model parameters for every sample. This thesis proposal begins by studying the challenges of characterizing realworld data with population-level models. Next, we develop the methodology of Personalized Regression. Finally, we apply sample-specific inference to computational biology and precision medicine by: (1) Identifying Discriminative Subtypes of Cancers from Histopathology Images and (2) Cell-Specific Transcriptomic Regulatory Network Inference.
Intermediation and Steering: Competition in Prices and Commissions

We explore the implications of steering by an informed profit-maximizing intermediary. The intermediary steers consumers by recommending firms taking into account both the commissions firms offer and the prices they set. Such steering results in higher commissions and consumer prices, so that consumers only benefit from intermediation when their search cost is sufficiently high. Steering reverses the normal relationship between competition and price, with prices increasing in the number of competing firms. We use the framework to study various policies including commission caps (absolute or relative), commission disclosure, promoting information provision, and penalties for inappropriate advice. JEL classification: D43, D83, L13
Archive of SID MISCELLANEOUS Extracorporeal Shockwave Therapy Combined with Drug Therapy in Chronic Pelvic Pain Syndrome : A Randomized Clinical Trial

Purpose: Chronic prostatitis/ chronic pelvic pain syndrome (CP/CPPS) is a nonspecific pelvic pain in the absence of signs of infection or other obvious local pathology for at least three of the last 6 months. Evidence for treatment approach is limited. So the aim of this study is to investigate the effect of extracorporeal shock wave therapy (ESWT) combined with pharmacotherapy in the treatment of CP/CPPS.
ASYMPTOTIC EXPANDERS, DOMAINS OF EXPANSION AND STRONG ERGODICITY

In this paper we initiate a geometric study of strong ergodicity. We use these techniques to prove a structure result (strongly ergodic actions admits exhaustions by domains of expansion); we show that homogeneous strongly ergodic actions are expanding in measure; we link expansion in measure with a general notion of isoperimetric inequalities for Markov kernels; we characterise strong ergodicity in terms of quasi-locality of averaging projections and in terms of Roe algebras of warped cones; and finally, we construct more counterexamples to the coarse Baum–Connes conjecture.
Assessment of Age-related Adaptive Changes in Relative Transverse Dimensions of the Tibia and Fibula: A Preliminary Study towards a Different Approach for Age Prediction in Adults

Objectives: The study of transverse dimensions of long bones of the limbs provides valuable information of the human aging process and is of importance in forensic and anthropological sciences. The aim of the present study was to introduce a method to assess age-related adaptive changes in transverse dimensions of lower-limb bones employing a combined osteometric analysis as a different approach for age prediction in adults. Material and methods: Twenty-four individuals (13 females and 11 males) aged from 22 to 65 years old were enrolled in the study. The mediolateral diameter of the tibia and fibula of the right leg at the one-third distal site was determined by conventional radiographs. An X-ray system model GE XR6000 (GE Hualun Medical Systems Co Ltd., Beijing, China) was used to obtain the radiographic images. Changes in bone dimensions were evaluated by regression and correlation analysis. The StatMate 2.0® software (GraphPad Software Inc., La Jolla, CA, USA) was used for the statistical analysis, with a significance level of 5% (p<0.05). Cohen’s d effect of size parameter was employed to estimate the effect of size on the statistical analysis. Results: The plot of age as function of the ratio between tibial and fibular dimensions for the entire studied population showed a linear fit slope of (-24.1) year, p=0.0059, and r=0.55, indicating a linear relation of age with the tibia/fibula ratio of mediolateral diameters, regardless of the height or sex of the subject. Distribution analysis of the absolute values of the residuals (actual age-predicted age) gives a median of 7.9 years, with 6.1-10.6 years confidence interval at 95%. Conclusion: The transverse fibular dimension serves as a normalization factor to compensate for different subjects height and sex when evaluating tibial morphometry. The preliminary data indicate that this method could be an alternative tool for predicting adult age in forensic matters.