Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the link between coherence and modernization The case of the Dutch electricity network

A relatively new way of framing network industries developments is by use of literature on the coheren ce of institutions and technology. We use the conceptual framework of coherence literature to explore the po ssible links between modernization and coherence and focus n the historical developments of the Dutch electr icity sector. We discuss a number of these historical exa mples to illustrate the relationship between modern ization and coherence.
SeDeM Expert System：A review and new perspectives

The SeDeM Expert System was first known as a galenic pre-formulation system, which was based on the experimental research and quantitative determination of powdered substances. And the mathematical formula provided by the SeDeM Expert System has plays an important role in the study of powder properties. The system can be used not only to evaluate the powder direct compression (DC) of excipients and active pharmaceutical ingredients (API's), but also to predict the possible formulations, so it can reduce unnecessary research and trials, and shorten the time of development. In this paper, the research development and application of SeDeM Expert System in DC was summarized, and the results showed that with a few exceptions, the system was skilled in predicting acceptable tablet formulations. Finally, the new application prospect of the system is presented, including the application of the Internet traffic and content management (iTCM) database and the new co-processed excipients.
An algorithm for automatically obtaining distributed and fault-tolerant static schedules

Our goal is to automatically obtain a distributed and fault-tolerant embedded system: distributed because the system must run on a distributed architecture; fault-tolerant because the system is critical. Our starting point is a source algorithm, a target distributed architecture, some distribution constraints, some indications on the execution times of the algorithm operations on the processors of the target architecture, some indications on the communication times of the data-dependencies on the communication links of the target architecture, a number Npf of fail-silent processor failures that the obtained system must tolerate, and finally some real-time constraints that the obtained system must satisfy. In this article, we present a scheduling heuristic which, given all these inputs, produces a fault-tolerant, distributed, and static scheduling of the algorithm on the architecture, with an indication whether or not the real-time constraints are satisfied. The algorithm we propose consist of a list scheduling heuristic based active replication strategy, that allows at least Npf +1 replicas of an operation to be scheduled on different processors, which are run in parallel to tolerate at most Npf failures. Due to the strategy used to schedule operations, simulation results show that the proposed heuristic improve the performance of our method, both in the absence and in the presence of failures.
An incremental learning framework for estimating signal controllability in unit-level verification

Unit-level verification is a critical step to the success of full-chip functional verification for microprocessor designs. In the unit-level verification, a unit is first embedded in a complex software that emulates the behavior of surrounding units, and then a sequence of stimuli is applied to measure the functional coverage. In order to generate such a sequence, designers need to comprehend the relationship between boundaries at the unit under verification and at the inputs to the emulation software. However, figuring out this relationship can be very difficult. Therefore, this paper proposes an incremental learning framework that incorporates an ordered-binary-decision-forest(OBDF) algorithm, to automate estimating the controllability of unit-level signals and to provide full-chip level information for designers to govern these signals. Mathematical analysis shows that the proposed OBDF algorithm has lower model complexity and lower error variance than the previous algorithms. Meanwhile, a commercial microprocessor core is also applied to demonstrate that controllability of input signals on the load/store unit in the microprocessor core can be estimated automatically and information about how to govern these signals can also be extracted successfully.
The Current Situation of Hypertension among Rural Minimal Assurance Family Participants in Liaoning (China): A Cross-Sectional Study

In China, the prevalence of hypertension is increasing and is showing an epidemic accelerating trend. However, there is a lack of studies reporting the hypertension status of rural residents with minimum living allowances. We performed a cross-sectional study including 11,435 (5285 men and 6150 women) from the general population aged ≥35 years in the Liaoning Province of China from 2012 to 2013, of which 1258 (11.0%) participants came from minimal assurance families. Anthropometric measurements, laboratory examinations and self-reported lifestyle factor information were collected by trained personnel. Multivariate logistic regression was used to detect the association between socioeconomic status (SES) and the risk of hypertension. We found that the prevalence of hypertension was as high as 61.9% in participants from minimal assurance families and the odd ratio for hypertension was 1.32 (95% CI: 1.15–1.52). The awareness, treatment, and control rates among treated hypertensive participants did not increase with higher level of income and education. In the total sample, the lower income levels increased the risk for hypertension, but education didn’t show a significant association with hypertension. Thus, there is a severe hypertension situation in the Liaoning rural population of minimal assurance families, which need more attention and prevention and control measures for hypertension.
DynCoDe : An Architecture for Transparent Dynamic Content Delivery

Delivery of web content is increasingly using dynamic and personalized content. Caching has been extensively studied for reducing the client latency and bandwidth requirements for static content. There has been recent interest in schemes to exploit locality in dynamic web content [1, 2]. We propose a novel scheme that integrates the distribution and caching of personalized content which rely heavily on dynamic generation of content. In the proposed architecture, resource intensive processes involved in content generation are pushed to the network edges. We have performed a preliminary evaluation of the architecture under real world network conditions and have noticed significant improvements in bandwidth consumption, user response time and server scalability showing the feasibility of such a scheme.
Graph Construction for Semi-Supervised Learning

Semi-Supervised Learning (SSL) techniques have become very relevant since they require a small set of labeled data. In this scenario, graph-based SSL algorithms provide a powerful framework for modeling manifold structures in high-dimensional spaces and are effective for the propagation of the few initial labels present in training data through the graph. An important step in graph-based SSL methods is the conversion of tabular data into a weighted graph. The graph construction has a key role in the quality of the classification in graph-based methods. Nevertheless, most of the SSL literature focuses on developing label inference algorithms without studying graph construction methods and its effect on the base algorithm performance. This PhD project aims to study this issue and proposes new methods for graph construction from flat data and improves the performance of the graph-based algorithms.
Musical cryptography using genetic algorithm

"Music can be used as a language communicable". Eric Sam's in his article "Musical Cryptography" has annotated various cryptographic techniques using music. Music and its attributes have been used in cryptography from early days. Musical symbols and musical notes have been used as substitution cipher. The algorithms applied to musical cryptography use predefined set of notes and rules for the synthesis of musical patterns. The main task in the musical cryptography is to generate musical cryptograms which in turn are good sequence of musical patterns soothing to ear. The traditional methods used in musical cryptography merely produced optimal musical patterns, to overcome this problem evolutionary computation approaches can be used. In this paper, a genetic algorithm (GA) based symmetric key musical cryptography algorithm is proposed to obtain an optimal sequence of musical patterns as a cipher message The application of genetic algorithm for producing cryptic message doesn't only hide the message as musical piece but it also reduces the chance of cipher message to be detected as cipher.
Transferrin receptor recycling in the absence of perinuclear recycling endosomes

In mammalian cells, internalized receptors such as transferrin (Tfn) receptor are presumed to pass sequentially through early endosomes (EEs) and perinuclear recycling endosomes (REs) before returning to the plasma membrane. Whether passage through RE is obligatory, however, remains unclear. Kinetic analysis of endocytosis in CHO cells suggested that the majority of internalized Tfn bypassed REs returning to the surface from EEs. To determine directly if REs are dispensable for recycling, we studied Tfn recycling in cytoplasts microsurgically created to contain peripheral EEs but to exclude perinuclear REs. The cytoplasts actively internalized and recycled Tfn. Surprisingly, they also exhibited spatially and temporally distinct endosome populations. The first appeared to correspond to EEs, labeling initially with Tfn, being positive for early endosomal antigen 1 (EEA-1) and containing only small amounts of Rab11, an RE marker. The second was EEA-1 negative and with time recruited Rab11, suggesting that cytoplasts assembled functional REs. These results suggest that although perinuclear REs are not essential components of the Tfn recycling pathway, they are dynamic structures which preexist in the peripheral cytoplasm or can be regenerated from EE- and cytosol-derived components such as Rab11.
TQFT with corners and tilting functors in the Kac-Moody case

We study projective functors (i.e. direct summands of compositions of translations through walls) for parabolic versions of $\cO$ as well as for integral regular blocks outside the critical hyperplanes in the symmetrizable Kac-Moody case. It turns out that in both situations the functors are completely determined by their restriction to the additive category generated by (the limit of) a `full projective tilting' object. We describe how projective functors in the parabolic setup give rise to an invariant of tangle cobordisms and formulate a conjectural direct connection to Khovanov homology. Our main result, however, is the classification theorem for indecomposable projective functors in the Kac-Moody case verifying a conjecture of F. Malikov and I. Frenkel.
Towards intrusion-resilient security monitoring in multi-cloud infrastructures

Multi-cloud architectures enable the design of resilient distributed service applications. Such applications can benefit from a combination of intrusion-tolerant replication across clouds with intrusion detection and analysis mechanisms. Such mechanisms enable the detection of attacks that affect multiple replicas and thus exceed the intrusion masking capability, and in addition support fast reaction and recovery from local intrusions. In this work-in-progress paper we present a security analysis on which an intrusion detection and analysis service can be based on. We sketch the architecture of such a cross-cloud intrusion detection architecture that combines a set of well-known mechanisms. The goal of our approach is obtaining a resource-efficient service with optimal resilience against malicious attacks.
Effects of temperature and relative humidity on sporulation of Metarhizium anisopliae var. acridum in mycosed cadavers of Schistocerca gregaria.

The effects of relative humidity (RH) and temperature on the sporulation of Metarhizium anisopliae var. acridum on mycosed cadavers of desert locust, Schistocerca gregaria, were assessed in the laboratory. Quantitative assessments of conidial production over 10 days under constant conditions showed that sporulation was optimized at RH > 96% and at temperatures between 20 and 30 degrees C. Under both these conditions >10(9) conidia/cadaver were produced. At 25 degrees C, conidial yield was maximized under conditions in which cadavers remained in contact with damp substrate. Relatively little sporulation occurred at 15 degrees C (< 3 x 10(7) conidia/cadaver) and 40 degrees C (< 4 x 10(6) conidia/cadaver) and no sporulation occurred at 10 or 45 degrees C. Following incubation, conidial yield was closely related to the water content of locust cadavers. In separate tests, locust cadavers were incubated for 10 days under diurnally fluctuating temperature and RH that comprised favorable (25 degrees C/100% RH) alternating with unfavorable (40 degrees C/80% RH) conditions for sporulation. In this case, fewer conidia were produced compared with cadavers that were incubated under the favorable conditions for an equal period cumulatively but were not periodically exposed to unfavorable conditions. However, this reduced sporulation observed with the fluctuating condition was not observed when cadavers were similarly incubated under favorable/unfavorable conditions of temperature but were not periodically exposed to the low RH condition. This result implies that sporulation is a dynamic process, dependent not only on periodic exposure to favorable RH but also on the interrelation of this with low RH. Associated tests and the monitoring of changes in cadaver weights imply that the mechanism driving the reduced sporulation under fluctuating RH is the net water balance of cadavers, i.e. the cumulative ability of the fungus/cadaver to adsorb water necessary for sporulation at high RH is restricted by water loss associated with intermittent exposure to a low RH. The duration of daily exposure to high humidity appears to be a crucial constraint to the recycling ability of M. anisopliae var. acridum.
EFFECT OF AFLATOXIN M1, "A HYDROXYLATED METABOLITE OF B1" ON SPERM CELL QUALITY OF ADULT MALE WISTAR RATS.

The effect of aflatoxin on reproductive health takes a systematic approach as it indicates that a significant number of people living in the third world regions are exposed to these toxins due to the poor storage of grains. To expose the effects of aflatoxin M1 a hydroxylated metabolite of aflatoxin M1 Twenty four Adult male Wister rats were acclimatized and broken down into four groups, Test Group one (Two weeks exposure), Group Two ( four weeks exposure), Group Three ( Six weeks exposure) and Group Four ( Control Group). The Test Group 1, 2 and 3 were orally administered 7.2g/kg (LD50) of Aflatoxin M1 for the desired weeks of exposure and the sperm cell quality was assessed to determine the effect of Aflatoxin M1 on sperm cell quality in Adult male wister rat. The predetermined level of sperm cell quality is its ability to be motile as the motility of the sperm cell determines its viability. Group three had the highest presence of sluggishly immotile cells with very low progressive motility, followed by group, two and one, 37.5+ 9.97, 55.00+9.91, and 71.67+3.07 as against the control groups 85.8+2.17 with the highest significance at the group three which showed an extended exposure of aflatoxin m1 (p=0.05). This study links infertility and aflatoxin consumption, as the higher the doses the more spermatotoxicity is built which invariably could lead to sterility and azoospermia.
Screening of Anxiety and Depression in Patients With Fibromyalgia From 18 to 65 Years Old and Its Relationship With the Severity of Fibromyalgia and Quality of Life

OBJECTIVE: To identify the relationship between anxiety and depression with the severity of fibromyalgia and quality of life in patients aged 18 to 65 years, clinic of rheumatology of Barranquilla. METHODS: Observational, descriptive, comparative cross-sectional study. Patients with fibromyalgia who attend the external consultation of rheumatology will be surveyed. The questionnaires to be applied are the Fibromyalgia Impact Questionnaire Revised (Spanish version), Health Questionnaire SF-36, Patient Health Questionnaire and a Scale of 7 questions for generalized anxiety disorder. The data collected in this descriptive study will be analyzed by means of frequency and association measures. The analysis of association between sociodemographic factors and clinical characteristics will be carried out with bivariate analysis and the comparison of qualitative or categorical variables will be done through the analysis of variance, to compare variables of ordinal type and variables of type ratio. RESULTS: 34.2% of the patients did not present anxiety whereas 83.6% of the patients had some degree of depression. 50% of the patients had moderate, severe and extreme degrees of depression. An association was found between severity of fibromyalgia with anxiety, depression and quality of life (p <0.05). CONCLUSION: A directly proportional relationship was found between the severity of depression and anxiety and the severity of FM. An elevated score in the FIQR, lower weighted scores for quality of life in the participants, in addition to greater severity in the scales GAD - 7 and PHQ - 9, all score to lower quality of life.
Quark and lepton masses and mixing angles from superstring constructions

We show that the observed structure of quark and lepton masses and mixing angles can arise entirely geometrically from superstring constructions, at the renormalizable level. The model we consider is a 3 orbifold compactification of heterotic string with two Wilson lines, where three families of particles of SU(3)c × SU(2)L × U(1)Y, including Higgses, are automatically present. In orbifold models, Yukawa couplings can be calculated explicitly, and it is known that they get exponential suppression factors depending on the distance between the fixed points to which the fields are attached. We find that in the 3 case, the quark and charged-lepton mass hierarchies can easily be obtained for reasonable values of the three moduli determining the radii of the compactified space, Ti ~ 1. For the neutrinos, due to the smallness of their Dirac masses, the required scale for the see-saw mechanism to give the correct masses is found to be within reach of the electroweak scale. Finally, we find that one of the small number of possibilities for quark and lepton mass matrices yields consistent results for the mixing angles and the weak CP violation phase. Although our scheme relies on the mixing between fields due to Fayet-Iliopoulos breaking, it is considerably more predictive than alternative models of flavour.
On Approximating the Lp Distances for p>2

Applications in machine learning and data mining require computing pairwise Lp distances in a data matrix A. For massive high-dimensional data, computing all pairwise distances of A can be infeasible. In fact, even storing A or all pairwise distances of A in the memory may be also infeasible. This paper proposes a simple method for p = 2, 4, 6, . We first decompose the l_p (where p is even) distances into a sum of 2 marginal norms and p-1 ``inner products'' at different orders. Then we apply normal or sub-Gaussian random projections to approximate the resultant ``inner products,'' assuming that the marginal norms can be computed exactly by a linear scan. We propose two strategies for applying random projections. The basic projection strategy requires only one projection matrix but it is more difficult to analyze, while the alternative projection strategy requires p-1 projection matrices but its theoretical analysis is much easier. In terms of the accuracy, at least for p=4, the basic strategy is always more accurate than the alternative strategy if the data are non-negative, which is common in reality.
Modeling Multi-user Behaviour in Social Networks

Social networks, and the behaviour of groups of online users, are popular topics in modeling and classifying Internet traffic data. There is a need to analyze online network performance metrics through suitable workload benchmarks. We address this issue with a Multi-dimensional Hidden Markov Model (MultiHMM) to act as a Multi-User workload classifier. The MultiHMM is an adaptation of the original HMM, using clustering methods and multiple trace-training for the Baum-Welch algorithm. The goals of the MultiHMM are to classify multiple online user streams with minimal processing needs, represent burstiness and correlation among groups of users and to improve security measures in the social network. Experiments are carried out using multiple traces from Twitter data, where original traces are analysed and compared with the MultiHMM-generated traces. The metrics involved in validating our model include means, standard deviations, skew ness and autocorrelation, and we discuss applications and extensions of our model.
Rapid Loss of Motility of Helicobacter pylori in the Gastric Lumen In Vivo

ABSTRACT The human pathogen Helicobacter pylori has infected more than half of the world's population. Nevertheless, the first step of infection, the acute colonization of the gastric mucus, is poorly understood. For successful colonization, H. pylori must retain active motility in the gastric lumen until it reaches the safety of the mucus layer. To identify the factors determining the acute colonization, we inserted bacteria into the stomach of anesthetized Mongolian gerbils. We adjusted the gastric juice to defined pH values of between 2.0 and 6.0 by using an autotitrator. Despite the fact that Helicobacter spp. are known to survive low pH values for a certain time in vitro, the length of time that H. pylori persisted under the assay conditions within the gastric juice in vivo was remarkably shorter. In the anesthetized animal we found H. pylori to be irreversibly immotile in less than 1 min at lumen pH values of 2 and 3. At pH 4 motility was lost after 2 min. However, the period of motility increased to more than 15 min at pH 6. Blocking pepsins in the gastric lumen in vivo by using pepstatin significantly increased the period of motility. It was possible to simulate the rapid in vivo immotilization in vitro by adding pepsins. We conclude that pepsin limits the persistence of H. pylori in the gastric chymus to only a few minutes by rapidly inhibiting active motility. It is therefore likely that this short period of resistance in the gastric lumen is one of the most critical phases of Helicobacter infection.
An IP-level Network Monitor and Scheduling System for Clusters

Current systems for managing workload on clusters of workstations, particularly those available for Linux-based (Beowulf) clusters, are typically based on traditional process-based, coarse-grained parallel and distributed programming. The DESPOT project is building a sophisticated thread-level resource-monitoring system for computational, storage and network resources based on SGI’s Performance Co-Pilot (PCP). In this paper we present our architecture for low-overhead, fine-grained resource-monitoring tools for network communication, and present our open-source graphical interfaces to this data. We also present our scheduling system utilizing this data, with experimental results indicating the overhead of our system is minimal while providing significantly better performance than several popular scheduling techniques.