Miracle-dz/UniFAR-FTUs huggingface dataset:
Blood Monocyte Subsets Differentially Give Rise to CD103+ and CD103− Pulmonary Dendritic Cell Populations1

There are two major myeloid pulmonary dendritic cell (DC) populations: CD103+ DCs and CD11bhigh DCs. In this study, we investigated in detail the origins of both myeloid DC pools using multiple experimental approaches. We show that, in resting lung, Ly-6ChighCCR2high monocytes repopulated CD103+ DCs using a CCR2-dependent mechanism, and these DCs preferentially retained residual CCR2 in the lung, whereas, conversely, Ly-6ClowCCR2low monocytes repopulated CD11bhigh DCs. CX3CR1 was required to generate normal numbers of pulmonary CD11bhigh DCs, possibly because Ly-6Clow monocytes in the circulation, which normally express high levels of CX3CR1, failed to express bcl-2 and may have diminished survival in the circulation in the absence of CX3CR1. Overall, these data demonstrate that the two circulating subsets of monocytes give rise to distinct tissue DC populations.
Halbach array design targeting nuclear magnetic resonance

Halbach array is extensively used in process control industry targeting NMR (Nuclear Magnetic Resonance) technology as it has several advantages compared to non Halbach array methods; such as uniform magnetic field, light weight, low cost, and concentrated magnetic field. In this paper, we propose to design and assess a Halbach array targeting NMR application for a flowing multiphase flow process passing through a 2″ pipeline. The design methodology is based on Particle Swarm Optimization (PSO) algorithm, combined with a three dimensional (3D) finite element method-based software. The aim of the design is to generate simultaneously a concentric, uniform, and high intensity magnetic field inside the target sensing area in order to provide the most accurate results, while using a cheap and reasonably light weight hardware. Results of extensive 3D simulation results using an array of 12 permanent magnet elements of size (20mm × 20mm × 50mm size) indicate that an optimized magnetic field distribution of 0.9 Tesla maximal intensity and 606 ppm homogeneity could be achieved for an area of 40 mm diameter, which is adequate for our application.
Nearly tight bounds for wormhole routing

We present nearly tight bounds for wormhole muting on Butterfly networks which indicate it is fundamentally different from store-and-forward packet routing. For instance, consider the problem of routing N log N (randomly generated) log N length messages from the inputs to the outputs of an N input Butterfly. We show that with high probability that this must take time at least /spl Omega/(log/sup 3/N/(log log N)/sup 2/). The best lower bound known earlier was /spl Omega/(log/sup 2/ N), which is simply the flit congestion an each link. Thus our lower bound shows that wormhole routing (unlike store-and-forward-routing) is very ineffective in utilizing communication links. We also give a routing algorithm which nearly matches our lower bound. That is, we show that with high probability the time is O(log/sup 3/ N log log N), which improves upon, the previous best bound of O(log/sup 4/ N). Our method also extends to other networks such as the two-dimensional mesh, where it is nearly optimal. Finally, we consider the problem of offline wormhole routing, where we give optimal algorithms for trees and multidimensional meshes. <<ETX>>
Evaluation of Rice Lines Tolerant to Heat during Flowering Stage

Excess temperature hampers the normal physiological activities of rice. Therefore, breeding for improving heat tolerance in rice cultivars is a major objective throughout the tropical areas of Asia in the face of recent climatic changing situation. Screening for heat tolerance is one of the important issues to find out additional sources of tolerance to heat. An experiment was conducted following split-plot design. Temperature data will be recorded and best heat tolerant materials were selected based on yield, spikelet fertility and high grain filling under high temperature. Yield level and spikelet fertility of the entries are ranged from 11.92 to 32.8 g/plant and 61% to 86%, respectively. The highest yield was found in IR 86991-146-2-1-1 (20.02 g/plant.) followed by IR 87606-109-2-2 (19.35 g/plant). Highest spikelet fertility was observed in IR 88268-107-1-1 (86%) followed by IR 88268-124-2-3 (84%). The lowest pollen sterility was found in IR 86991-146-2-1-1(0-20%). IR 86991-146-2-1-1 was found as more tolerant to heat at flowering stage having higher yield/plant, higher number of filled grains/panicle and lower pollen sterility (0-20%). These materials could be used in crossing program to develop improved rice varieties with tolerance to heat for extreme heat prone rice areas of south-east Asia.
Income inequality and happiness in 119 nations. In search for an optimum that does not appear to exist

textabstractINCOME INEQUALITY AND HAPPINESS IN 119 NATIONS All modern nations reduce income differences to some extent, and as a result there is an ongoing discussion about what degree of income inequality is acceptable. In this discussion libertarians oppose egalitarians and a principled consensus between these positions is not possible. Consensus can only be reached on the basis of a consequential ethic and one of these is the ‘greatest happiness principle’. In this paper the utilitarian approach is followed and the relation between income inequality and happiness in 119 nations is considered. Overall happiness is conceptualized as the‘subjective appreciation of life as a whole’ and is measured using responses to survey questions. We considered both average happiness and spread of happiness. We found little relationship between income inequality and average happiness in nations. There was no correlation with average happiness, a slightly positive correlation with average mood and a slightly negative correlation with average contentment. All these correlations became positive when wealth of the nation was controlled. Spread of happiness tended to be larger in income unequal nations, but this effect disappeared when wealth of the nation was controlled. Correlations reflect the balance of positive and negative effects; in the case of average happiness the positive effects prevailed and in the case of spread both effects balanced out. The data do not show a point where the balance shifts
Private and threshold set-intersection

Abstract : In this paper we consider the problem of privately computing the intersection of sets (set-intersection), as well as several variations on this problem: cardinality set-intersection, threshold set-intersection, and over-threshold set-intersection. Cardinality set-intersection is the problem of determining the size of the intersection set, without revealing the actual threshold number t times in the players' private inputs are revealed. Over-threshold set-intersection is a variation on threshold set-intersection in which not only the threshold set is revealed, but also the number of times each element in the threshold set appeared in the private inputs.
ROLE OF OPTIMISM SUBCULTURE IN PROMOTING JOB SATISFACTION Evidence from Beverage Industry of Pakistan

The core objective of this research endeavour is to assess empi- rically to what degree perceptions of optimism subculture are associated with overall job satisfaction and its dimensions. Structured survey questionnaire was employed to test the study hypotheses. Hierarchical regression analyses reveals that perceived optimistic cultural values, at group or team level, fosters not only satisfaction to overall job but also its intrinsic and extrinsic components of sales persons employed by beverage companies in Pakistan while controlling the effects of important demographic variables such as gender, age, company and selling tenures. Practical implications of study findings and future research suggestions are presented, too.
Looking Toward the Future of IT-Business Strategic Alignment through the Past: A Meta-Analysis

Research examining the relationship between IT-business strategic alignment (hereafter referred to as alignment) and firm performance (hereafter referred to as performance) has produced apparently conflicting findings (i.e., an alignment paradox). To examine the alignment paradox, we conducted a meta-analysis that probed the interrelationships between alignment, performance, and context constructs. We found the alignment dimensions (intellectual, operational, and cross-domain) demonstrate unique relationships with the different performance types (financial performance, productivity, and customer benefit) and with many of the other constructs in alignment's nomological network. All mean corrected correlations between dimensions of alignment and dependent variables were positive and most of the credibility interval values in these analyses were also positive. Overall, the evidence gathered from the extant literature suggests there is not much of an alignment paradox. This study contributes to the literature by clarifying the relationships between alignment and performance outcomes and offering insight into sources of inconsistencies in alignment research. By doing so, this paper lays a foundation for more consistent treatment of alignment in future IT research.
affinity-on-next-touch: increasing the performance of an industrial PDE solver on a cc-NUMA system

The non-uniform memory access times of modern cc-NUMA systems often impair performance for shared memory applications. This is especially true for applications exhibiting complex access patterns. To improve performance, a mechanism for co-locating threads and data during the execution is needed. In this paper, we study how an affinity-on-next-touch procedure can be used to attain this goal. Such a procedure can increase thread-data affinity by migrating data across nodes to better match the access pattern. The migration is triggered by a directive and it can often be implemented as a re-invocation of a standard first-touch page placement procedure. We study an industrial-class scientific application where the thread-data affinity is small due to serial initializations of data structures accessed indirectly. Adding a single affinity-on-next-touch directive, we observed a performance improvement of 69% for 22 threads. We also perform experiments to study the scalability of the affinity-on-next-touch procedure. Our results indicate that the overhead associated with the procedure is highly dependent on the efficiency of the mechanism used to keep TLBs consistent. Using larger but fewer memory pages in the virtual memory sub-system we measured a total performance improvement of 166% compared to the original code.
Frequency-domain force measurements for discrete event contact recognition

Discrete event recognition based on force measurements in the frequency-domain, is presented. The force signals arise from interaction between the workpiece and the environment in a planar assembly task. The discrete events are modeled as hidden Markov models (HMMs), where the models are trained off-line with the Baum-Welch re-estimation algorithm. After the HMMs have been trained, we use them online in a robotic system to recognise discrete events as they occur. Event recognition with an accuracy as high as 98% was accomplished in 0.5-0.6 s with a relatively small training set.
Design and Analysis of a Dynamically Configured Log-based Distributed Security Event Detection Methodology

Military and defense organizations rely upon the security of data stored in, and communicated through, their cyber infrastructure to fulfill their mission objectives. It is essential to identify threats to the cyber infrastructure in a timely manner, so that mission risks can be recognized and mitigated. Centralized event logging and correlation is a proven method for identifying threats to cyber resources. However, centralized event logging is inflexible and does not scale well, because it consumes excessive network bandwidth and imposes significant storage and processing requirements on the central event log server. In this paper, we present a flexible, distributed event correlation system designed to overcome these limitations by distributing the event correlation workload across the network of event-producing systems. To demonstrate the utility of the methodology, we model and simulate centralized, decentralized, and hybrid log analysis environments over three accountability levels and compare their performance in terms of detection capability, network bandwidth utilization, database query efficiency, and configurability. The results show that when compared to centralized event correlation, dynamically configured distributed event correlation provides increased flexibility, a significant reduction in network traffic in low and medium accountability environments, and a decrease in database query execution time in the high-accountability case.