Miracle-dz/UniFAR-FTUs huggingface dataset:
The Cognitive Effects of the Polyphenol Resveratrol in Young, Healthy Humans: A Review of Six Balanced Crossover, Placebo Controlled, Double Blind Trials

Background: Resveratrol increases cerebral blood flow (CBF) but concomitant improvements to cognitive performance are elusive and may be due to relatively underpowered analyses. Objective: The current study combines the individual cohorts from x6 individual trials to create one larger, more powerful, sample size to assess a variety of cognitive outcomes. Design: All trials were placebo controlled, balanced crossover, double blind designs. The combined demographics resulted in a sample size of N=166 with 112 Females and 54 Males between the ages of 18-35 years. Results: Bonferroni corrected repeated measures ANCOVAs revealed no significant differences on x4 individual cognitive tasks. Paired samples t-tests also showed no effects following collapsing of sub-measures from these tasks into x5 global cognitive measures (Accuracy of attention, Speed of attention, Working memory, Speed of memory, Episodic memory) and the effect sizes were small for all outcomes. Conclusions: The results of this summary paper definitively confirms that 500 mg resveratrol does not acutely improve a wide range of cognitions in healthy, 18-35 year old humans.
Multi-Commodity Max-Flow Min-Cut Theorems and Applications

Consider a single-commodity network flow instance, N = (G, s, t, c). The maximum amount of flow which can be sent from the source s to the sink t is clearly upper bounded by the capacity of the minimum cut separating s and t. The celebrated Maximum-Flow Min-Cut Theorem of Ford and Fulkerson [4] (also proven in the same year by Dantzig and Fulkerson [2] and Elias, Feinstein and Shannon [3]) asserts that these quantities coincide. This fundamental theorem has found myriad applications over the years, including simple proofs of classic combinatorial theorems such as Menger’s, Hall’s, König’s and Dilworth’s theorems, as well as countless algorithmic applications. One might therefore wonder which generalizations of maximum flow admit similar max-flow min-cut theorems and what applications they may yield. A natural generalization of the maximum flow problem to consider is multi-commodity flow problems. One such generalization is the concurrent multi-commodity flow, where we have source-sink pairs {(si, ti)}i=1 and demand Di for each pair (si, ti). This problems asks to send the maximum common fraction f of each demand Di along the set of paths Pi = {p : si ti}, while respecting the edge capacities, ce. (Singlecommodity flow is the special case of a single source-sink pair with demand one.) Written as an LP, the concurrent multi-commodity flow problem and its dual are the following.2
GRADIENT-BASED SEISMIC INVERSION USING A FINITE FREQUENCY ASSUMPTION FOR IMAGING SUBSURFACE VELOCITY AND ATTENUATION FIELDS

Various studies operated seismic methods for imaging landslide structures. Among them, different approaches can be used to process the data, analyze and exploit the different kind of waves associated to particular propagation phenomena. Grandjean et al. [1] studied the first arrival traveltimes to recover P-wave velocity distribution across landslides. Finally, based on the work of Virieux and Operto [2], Romdhane et al. [3] showed the possibility to perform a full elastic waveform inversion (FWI) on a real dataset acquired over an earthflow. All those methods are more or less based on strong approximations and/or require complex data preprocessing. The issue of recovering the structural image of a landslide from the seismic velocity field estimated with an accurate, but not too unstable, method is thus posed. We propose here to revisit first arrival tomography approach which is a good compromise between the strong assumptions featuring simple refraction methods and the complexity of FWI approach when used in heterogeneous contexts. The Quasi-Newton (QN) method is based on the Tarantola’s Gradient / Hessian formulation [4] ensuring an optimum convergence:
Heuristic Method in Solving Optimization Problems of Online Shopping in Indonesia

: The development of online business in Indonesia is very rapid, this indicates the era of utilization of information technology has begun to be recognized existence. Shopping online has become one of the most common activities, done by millions of users every day. The variety of available orders makes it increasingly dificult to get the most out of all the stores. This research on the optimization of online shopping has grown rapidly. The focus of this research generally is to determine the optimum cost of product cost and product delivery issues. For that purpose the issue is of online shopping optimization. The existence of the solution of the optimum cost is shown by analyzing Linear Integer Programming by using heuristic algorithm method MinMin algorithm and Celluler processing Algorithm to optimize the problem of online shopping.
A Computational Model for Combinatorial Generalization in Physical Auditory Perception

Humans possess the unique ability of combinatorial generalization in auditory perception: given novel auditory stimuli, humans perform auditory scene analysis and infer causal physical interactions based on prior knowledge. Could we build a computational model that achieves combinatorial generalization? In this paper, we present a case study on box-shaking: having heard only the sound of a single ball moving in a box, we seek to interpret the sound of two or three balls of different materials. To solve this task, we propose a hybrid model with two components: a neural network for perception, and a physical audio engine for simulation. We use the outcome of the network as an initial guess and perform MCMC sampling with the audio engine to improve the result. Combining neural networks with a physical audio engine, our hybrid model achieves combinatorial generalization efficiently and accurately in auditory scene perception.
Intermodal Transportation Division

Please be advised that on Friday, April 8, 2011, the Transportation Board awarded the SR 123 HOV Design-Build project to ABC Construction, in the amount of $77,445,016. As stated in the SR 123L Design Build package (Page 33 of 511) and A.R. S. 28-7365. (G)5. , a stipulated fee of two-tenths of one percent of the Department’s estimated cost of $89,311,000 (design and construction) shall be awarded to each proposer on the short-list who provides a responsive, but unsuccessful proposal. Your firm has met those qualifications.
Number : 137563 Bosnia and Herzegovina : Estimation of the Effect of the Agreement of Amendment of an Accession to the CEFTA on Bosnia and Herzegovina 1 Trade Flows and Calculation of Trade Potential

This paper provides an assessment of the trade performance of Western Balkan (WB) countries with the EU countries. The particular focus is on Bosnia and Herzegovina’s (BiH) trade potential and an estimation of the effects of the Agreement of Amendment to the Central European Free Trade Agreement (CEFTA 2006) using gravity equations. The approach taken by Bussière et al. (2005) is used as a base reference to develop the model of BiH trade flows and latter on BiH trade potential. Bussière et al. (2005) estimated the potential trade of Central and Eastern European countries using a new measure of trade integration called the “trade condition indicator”. This indicator is calculated from country-pair specific effects after controlling for the levels of the time-invariant variables, like distance. Fixed effect vector decomposition (FEVD) procedure offers a solution to the problem of estimating time-invariant variables in panel data when at least one variable is correlated with the unobservable unit effect. FEVD is considered as a proper procedure for this application since CEFTA 2006 is considered endogenous and correlated with unobserved unit effect. Applying FEVD it was found that in each WB country imports and exports are below their potential level with the EU. The results suggest that even as BiH moves towards its potential trade levels the trade deficit will remain, albeit at a diminishing level if capacity building for stronger trade policy dialog continues and more opportunities to diversified BiH export are exploit. 1 This report benefited from the Umbrella Facility for Trade trust fund that is supported by the Governments of the Netherlands, Norway, Sweden, Switzerland and the United Kingdom. Affiliation of the authors: *WBG; **Ministry of Foreign Trade and Economic Relations. The findings, interpretations, and conclusions expressed in this paper are entirely those of the author(s). P ub lic D is cl os ur e A ut ho riz ed P ub lic D is cl os ur e A ut ho riz ed P ub lic D is cl os ur e A ut ho riz ed P ub lic D is cl os ur e A ut ho riz ed
Modeling Disease Impact of Vibrio-Phage Interactions 2019

Since the work of John Snow, scientists and medical professionals have understood that individuals develop cholera by means of consuming contaminated water. Despite the knowledgeof cholera’s route of infection, many countries have experienced and still experience endemic cholera. Cholera is caused by the Vibrio cholerae (V. cholerae) bacterium and presents with acute diarrhea and vomiting. If untreated, infected individuals may die due to dehydration. Cholera is a disease that most commonly affects countries with poor infrastructure and water sanitation. Despite efforts to control cholera in such countries, the disease persists. One such example is Haiti which has been experiencing a cholera outbreak since 2010. While there has been much research in the field of microbiology to understand V. cholerae, there has been comparably less research in the field of mathematical biology to understand the dynamics of V. cholerae in the environment. A mathematical model of V. cholerae incorporating a phage population is coupled with a SIRS disease model to examine the impact of vibrio and phage interaction. It is shown that there might exist two endemic equilibria, besides the disease free equilibrium: one in which phage persist in the environment and one in which the phage fail to persist. Existence and stability of these equilibria are established. Disease control strategies based on vibrio and phage interactions are discussed.
Internal Report : 1992-02 Dynamic behaviour analysis of non-contact compliant robot motions : Application to edge and plane localization

Robot performance in tasks such as contour following or gripper centering is enhanced when its end-effector is provided with range sensors and its controller with the capability of performing non-contact compliant motions. Based on a model obtained by identification techniques, dynamic behaviour and stability of a system composed by a robot with range sensors are studied. This allows to choose the most suitable parameters when carrying out tasks with compliant motions. Applications of these kind of motions to acquisition of edges and planes to locate and recognize objects in the scene are presented.
Dynamic social alignment on operational level and organisational performance

Business-IT (BIT) alignment on different organisational levels is thought to facilitate organisational performance. This study investigates how dynamic social alignment on an operational level improves organisational performance. The concept of dynamic social alignment has been introduced based on the theory of dynamic capabilities and the integration of two constructs: IS change agreement and task support satisfaction (TSS). The business value of dynamic social alignment was measured through business process performance and organisational performance. A conceptual model was thus developed and empirically validated through structural equation modelling (SEM). It is confirmed in this study that organisations which have better dynamic social alignment on the operational level continuously support the execution of changing everyday business tasks. The results also confirmed the mediating role of business process performance between task support satisfaction (TSS) and organisational performance. The study reveals that business and IT professionals need to nurture and maintain dynamic mutual agreement regarding IS changes in order to improve performance. In this manner, their organisation would be more prepared for reconfiguration and transformation, vital for adjustment to rapidly changing environment.
Density Functional Study of Intramolecular Proton Transfer and Vibrational Frequencies of Hydroxyaminogermanone Abdulhakim

The electronic structure and reactivity of hydroxyaminogermanone conformers were studied in the gas phase by density functional theory. Seven minimum structures (1-7) and six transition states (TSs) were located. The global isomeric structure was 2 at the B3LYP/6-311++G (d,p) level of theory. The natural bond orbital (NBO) analysis reveals that there is a strong interaction nO2 * N3−Ge1 in the most studied compounds, for example, the second order energy for 3 is 14.05 kcal/mol. The 3d orbitals of germanium have little importance in bonding for the molecules. The charge density values strongly support the assumption that bonding between Germanium atom and Oxygen, nitrogen atoms are ionic, whereas N-H and O-H bonds are maintained the covalent bond nature. The computed harmonic frequencies results were in good agreement with available experimentally reported values. The shift in NH and O-H towards the lower frequency attributed to the intramolecular hydrogen bonding. The calculated vibrational frequencies for symmetrical and asymmetrical stretching modes of GeH2 are located at 1975 and 1955 cm -1 respectively.
THE ROLE OF ATTACHMENT TO SELF-DESIGNED PRODUCT : THE MEDIATOR OF INVOLVEMENT IN SHAPING EVALUATION

The purpose of this article is to provide a demonstration of how self-designed toolkits influence consumers’ attachment for their self-designed products and to explore how the evaluation is influenced by the design-support level through the mediator (i.e. involvement). This article also investigates the influences of social comparison on shaping evaluation. One experiment was conducted using online mass customization toolkits. The authors demonstrate that the feeling of attachment that arises from being involved in the creation of self-designed products mediates consumers’ valuation. Theoretical and managerial implications for companies to improve the co-creation process in mass customization through online design toolkits are provided.
Guaranteed predictive estimation of solutions of system of differential equations with the Gompertzian dynamics

In this paper, we have introduced a mathematical model to describe processes that grow in time rapidly. The model has the form of a system of non-linear differential equations with Gompertzian dynamics and non-stationary parameters. We have formulated and studied the problem of finding the predictive estimation for the systems of differential equations with Gompertzian dynamics, for the case of continuous observation. We have suggested the algorithms for building guaranteed predictive estimations for the model. We have presented as an example, the results of numerical experiments to build guaranteed estimates for the mathematical model of spreading some type of information in society. The suggested approach presents both theoretical interest and important practical meaning.
IMPLEMENTATION OF COMPSTAT IN POLICE ORGANIZATIONS: THE CASE OF NEWARK POLICE DEPARTMENT*

Compstat is a popular management model, which has been implemented by numerous police organizations in the USA over the last two decades. The central purpose of this study is to examine the implementation of Compstat in a large police organization (Newark Police Department) in the United States. Specifically, the principles and components of this model are analyzed in terms of their contribution to the management of this police organization and limitations in practice. Data were collected in this case study through in-depth interviews, observation of the Compstat meetings and analysis of the documents, and analyzed using grounded theory. This study revealed that this model certainly improved the management of this police organization. Compstat established a measure of performance, accountability and information sharing. While the contribution of Compstat was evident, there were certain points to be improved. This study shed light on these limitations and possible solutions for them. This model has a high potential to address some of the operational and managerial problems of the Turkish National Police. Future research should make a comparison of Turkey and USA in terms of their structure, culture, technological infrastructure, and policing approaches and provide a perspective for practitioners who are willing to adapt this kind of models.
Screening of Chilli ( Capsicum annum L.) Genotypes for Drought Tolerant at Seedling Emergence Stage

Forty seven chilli (Capsicum annum L.) genotypes were evaluated for their genetic potential to drought tolerant at germination stage using 12.5% polyethylene (PEG, MW6000). Relative germination energy (RGE), relative germination rate (RGR), relative germination index (RGI), relative vitality index (RVI) and their relative PEG injury rate were computed to identify the most tolerant genotypes on germination stage. Significant differences were observed among the genotypes, treatments and their interactions for evaluated traits suggesting a great amount of variability for drought tolerant in chilli. Based on aggregated score of RGE, RGR, RGI and RVI parameters BD-10906, BD-10912, BD-10911, BD-10916 and BD-10913 were the top five genotypes, whereas BD-10902, RT-20, AM-29, BD-10893 and BD-10930 lowermost five genotypes in the rank of drought tolerant which is an indication of their tolerant and susceptible to drought stress. The lowest relative PEG injury rate was observed in tolerant genotypes, contrary the highest rate was recorded in susceptible genotypes. Dendrogram using Agglomerative Clustering Method grouped the 47 genotypes into four different clusters at the 0.668 co-phenetic correlation coefficient. Drought tolerant chilli genotypes grouped in cluster I, while the susceptible genotypes clustered together in group III and IV and a number of moderate tolerant genotypes gathered in cluster II. Consequently the maximum mean values of tested parameters viz. RGR (91.30), RGE (30.43), RGI (40.58) and RVI (54.10) were observed in clusters I. Positive and significant correlation values were observed between the tolerant indications parameters. RGI showed comparatively strong and positive correlation with all tested parameters. Thus, tolerant and susceptible genotypes will be progressed for further tolerant study in seedling stage.
Intelligent Learning Environments

In this paper we describe an ontology model that was designed and implemented to represent academic and institutional contexts related with a research center in Mexico City. The ontology model aims at supporting logicbased query answering and reasoning regarding contexts such as geographical areas, time, persons, libraries, cultural and academic events, teaching and tutoring schedules. The type of questions that the ontology model is capable of answering range from academic issues such as tutoring and thesis supervision; those concerning the location of people, libraries, buildings, roads; those regarding time such as class schedules, event schedules; and even those about the food menu offered at the cafeteria of the institution. In order to evaluate the ontology model, a set of competency questions were translated into SQWRL rule-based query language. Results of queries show the feasibility of using ontological models as the supporting technology to implement ubiquitous and pervasive systems for academic environments.
Comparative transcriptome analysis of panicle development under heat stress in two rice (Oryza sativa L.) cultivars differing in heat tolerance

Heat stress inhibits rice panicle development and reduces the spikelet number per panicle. This study investigated the mechanism involved in heat-induced damage to panicle development and spikelet formation in rice cultivars that differ in heat tolerance. Transcriptome data from developing panicles grown at 40 °C or 32 °C were compared for two rice cultivars: heat-tolerant Huanghuazhan and heat-susceptible IR36. Of the differentially expressed genes (DEGs), 4,070 heat stress-responsive genes were identified, including 1,688 heat-resistant-cultivar-related genes (RHR), 707 heat-susceptible-cultivar-related genes (SHR), and 1,675 common heat stress-responsive genes (CHR). A Gene Ontology (GO) analysis showed that the DEGs in the RHR category were significantly enriched in 54 gene ontology terms, some of which improved heat tolerance, including those in the WRKY, HD-ZIP, ERF, and MADS transcription factor families. A Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the DEGs in the RHR and SHR categories were enriched in 15 and 11 significant metabolic pathways, respectively. Improved signal transduction capabilities of endogenous hormones under high temperature seemed to promote heat tolerance, while impaired starch and sucrose metabolism under high temperature might have inhibited young panicle development. Our transcriptome analysis provides insights into the different molecular mechanisms of heat stress tolerance in developing rice.
Robust elastic net estimators for variable selection and identification of proteomic biomarkers

Abstract: In large-scale quantitative proteomic studies, scientists measure the abundance of thousands of proteins from the human proteome in search of novel biomarkers for a given disease. Penalized regression estimators can be used to identify potential biomarkers among a large set of molecular features measured. Yet the performance and statistical properties of these estimators depend on the loss and penalty functions used to define them. Motivated by a real plasma proteomic biomarkers study, we propose a new class of penalized robust estimators based on the elastic net penalty, which can be tuned to keep groups of correlated variables together in the selected model and maintain robustness against possible outliers. We also propose an efficient algorithm to compute our robust penalized estimators and derive a data-driven method to select the penalty term. Our robust penalized estimators have very good robustness properties and are also consistent under certain regularity conditions. Numerical results show that our robust estimators compare favorably to other robust penalized estimators. Using our proposed methodology for the analysis of the proteomics data, we identify new potentially relevant biomarkers of cardiac allograft vasculopathy that are not found with non-robust alternatives. The selected model is validated in a new set of 52 test samples and achieves an area under the receiver operating characteristic (AUC) of 0.85.
The Term Structure of Credit Spreads and Institutional Equity Trading

This paper empirically investigates the effect of the term structure of credit spreads on the equity trades of long-term and short-term institutional investors. The results show that a 1-percent increase in CDS slope is associated with a 0.114 percentage point increase in the sales of the long-term institutions. However, changes in CDS slope do not significantly predict short-term institutional trading. The negative relation between CDS slope and long-term institutions’ equity sales entirely arises from the part of the slope that predicts future CDS spread changes. My findings provide evidence that a low CDS slope predicts improved creditworthiness, which in turn, is transmitted to the equity market through the trading of long-term institutions.