Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved GA using population reduction for load balancing in cloud computing

Cloud computing is a new hype in computer industry, which has different thoughts by different researchers. But beyond those thoughts, cloud has some limitation also which needs to be more focused. Basically cloud is based on use par pay scenario identified by user's services. But for each and every rewarding, that services cloud needs some predefine requirement circumstances to follow which affect different parameters like response time, resource utilization, balancing load, indexing of resources as well as jobs & etc. Lots of soft computing techniques like genetic, honey bee, stochastic hill climbing, and ant colony, throttled and other algorithm are used to please those parameters to improve the scheduling of resources as well as jobs in cloud environment. Our proposed work focused on utilization of resource and response time based on genetic algorithm but we modified that genetic algorithm with the help of partial population reduction method that will help to satisfy the request of user services.
Network Intrusion Detection using Machine Learning and Voting techniques

As the result of recent advent and rapid growth of the Internet, there have been an increasing number of corporations relying on computers and networks for communications and critical business transactions. Because of the network complexity and advanced hacking techniques, such reliance on computer networks often presents unanticipated risks and vulnerabilities. A huge volume of attacks on major sites and networks have been recently reported including those of private companies, government agencies and even military classified networks. Therefore, it is important to deploy protection measures for networks and their services from unauthorized modification, destruction, or disclosure of sensitive information. Intrusion detection systems (IDS) have emerged as an important part of today’s network security infrastructure which can monitor the network traffic and detect possible attacks. Currently existing IDS suffer from low detection accuracy and system robustness for new and rare security breaches. To improve detection capability of IDS, this chapter proposes an innovative Machine Learning (ML) framework in which different types of intrusions will be detected with different classifiers, including different attribute selections and learning algorithms. Outputs of these classifiers are then combined by appropriate voting techniques. Experiments on the KDD-99 dataset show that our approach obtains superior performance in comparison with other state-of-the-art detection methods, achieving low learning bias and improved generalization at an affordable computational cost.
Using artefacts to investigate children's information seeking experiences

Pieces of work or "artefacts" produced by children in the form of posters were used in a semi-structured interview to gain insights into children's experience of information seeking in a classroom setting. By referring to information on the poster, children were able to articulate their perceptions of the task, evaluate their success in completing it and reveal which aspects of the task they preferred doing. They were able to say where, and in some cases how information had been found but were generally less able to explain why they had chosen particular pieces of information. The paper concludes that artefacts such as posters can provide a useful entry point for interviewing children about their information behaviour, avoiding some of the known challenges in this.
Dynamical random graphs with memory.

We study the large-time dynamics of a Markov process whose states are finite but unbounded graphs. The number of vertices is described by a supercritical branching process, and the edges follow a certain mean-field dynamics determined by the rates of appending and deleting: the older an edge is, the lesser is the probability that it is still in the graph. The lifetime of any edge is distributed exponentially. We call its mean value (common for all edges) a parameter of memory, since it shows for how long the system keeps a particular connection between the vertices in the graph. We show that our model provides a bridge between two well-known models: when the parameter of memory goes to infinity this is a generalized model of random growth, and when this parameter is zero, i.e., no memory, our model behaves as a random graph. Thus by introducing a general class of dynamical graphs we have a unified overview on rather different models and the relations between them. We find all the critical values of the parameters at which our model exhibits phase transitions and describe the properties of the phase diagram. Finally, we compare and discuss the efficiency of the corresponding networks.
Coordinating Clearance Markdown Sales of Seasonal Products in Retail Chains

In this paper we propose a methodology to set prices of perishable items in the context of a retail chain with coordinated prices among its stores and compare its performance with actual practice in a real case study. We formulate a stochastic dynamic programming problem and develop heuristic solutions that approximate optimal solutions satisfactorily. To compare this methodology with current practices in the industry, we conducted two sets of experiments using the expertise of a product manager of a large retail company in Chile. In the first case, we contrast the performance of the proposed methodology with the revenues obtained during the 1995 autumn-winter season. In the second case, we compare it with the performance of the experienced product manager in a "simulation-game" setting. In both cases, our methodology provides significantly better results than those obtained by current practices.
Vaccine delivery system for tuberculosis based on nano-sized hepatitis B virus core protein particles

Nano-sized hepatitis B virus core virus-like particles (HBc-VLP) are suitable for uptake by antigen-presenting cells. Mycobacterium tuberculosis antigen culture filtrate protein 10 (CFP-10) is an important vaccine candidate against tuberculosis. The purified antigen shows low immune response without adjuvant and tends to have low protective efficacy. The present study is based on the assumption that expression of these proteins on HBc nanoparticles would provide higher protection when compared to the native antigen alone. The cfp-10 gene was expressed as a fusion on the major immunodominant region of HBc-VLP, and the immune response in Balb/c mice was studied and compared to pure proteins, a mixture of antigens, and fusion protein-VLP, all without using any adjuvant. The humoral, cytokine, and splenocyte cell proliferation responses suggested that the HBc-VLP bearing CFP-10 generated an antigen-specific immune response in a Th1-dependent manner. By virtue of its self-adjuvant nature and ability to form nano-sized particles, HBc-VLPs are an excellent vaccine delivery system for use with subunit protein antigens identified in the course of recent vaccine research.
RPB7, one of two dissociable subunits of yeast RNA polymerase II, is essential for cell viability

The Saccharomyces cerevisiae RNA polymerase II subunit gene RPB7 was isolated and sequenced. RPB7 is a single copy gene whose sequence predicts a 19,000 Dalton protein of 171 amino acids. RPB7 is known to dissociate from RNA polymerase II as an RPB4/RPB7 subcomplex in vitro. RPB7 also appears to interact with RNA polymerase II in a manner dependent upon RPB4, since RNA polymerase II purified from cells lacking RPB4 also lacks RPB7. Previous results have demonstrated that deletion of the RPB4 results in slow growth and cold‐ and temperature‐sensitivity. In contrast, deletion of the RPB7 gene revealed that it is essential for cell growth and viability. Loss of both the RPB4 and the RPB7 genes causes lethality. These results suggest that RPB7 contributes to the function of RNA polymerase II in the absence of RPB4 either in a manner independent of its association with the enzyme or by directly binding to the enzyme in a manner independent of its association with RPB4.
Anterior Extension of Acute Pancreatitis: CT Findings

Objective The purpose of this study is threefold: (a) to specify the pathway of the extension of pancreatitis to the anterior abdominal wall, which is clinically famous as the Cullen sign; (b) to assess if this pattern of involvement affects a patient's prognosis; and (c) to seek its association with the inflammatory processes that take place in the vicinity of the pancreatic head. Materials and Methods The CT findings of 277 patients with acute pancreatitis were retrospectively reviewed. Results Inflammatory changes involved the anterior abdominal wall in 5 of 277 cases (1.8%) with acute pancreatitis. Inflammatory processes seemed to have been delivered to the anterior abdominal wall from the pancreatic head and the hepatoduodenal ligament and along the falciform ligament. The probable triggers of acute pancreatitis in such cases were endoscopic retrograde cholangiopancreatography in two cases, alcohol intake in one case, and one case unknown. Three of five cases had proven or suspected choledocholithiasis or cholelithiasis. All five patients got well after proper treatments for acute pancreatitis. Conclusion The results of our review suggest that the anterior extension of acute pancreatitis does not directly mean extensive retroperitoneal involvement of the phlegmon or pseudocysts nor fatal prognosis either and that this style of extension might be associated with inflammatory processes that occur around the pancreatic head.
Post-traumatic pelvic extramedullary haemopoetic tissue causing lower urinary tract symptoms

Extramedullary haemopoiesis (EMH) is the abnormal development and growth of haemopoietic tissue outside the bone marrow. It is usually asymptomatic and occurs in the presence of myelodysplastic syndromes. In this report, we describe the first post-traumatic EMH presenting with lower urinary tract symptoms.
Dialogue between the preimplantation embryo and the oviduct

Knowledge about early embryogenesis and the role of the oviduct has gained renewed interest due to increasing awareness of the impact of animal health status and performance on the susceptibility and vulnerability of early developing embryos within their microenvironment. The significance of the oviduct is best illustrated when a glance is cast at structural as well as functional features of the oviduct which regulate the serially orchestrated and well-tuned steps in early embryogenesis. A lot of work has been done in vitro to bypass the oviduct consequently resulting in steadily increasing information about the requirements of early developing embryos. However, relatively little information is available to demonstrate direct tubal effects on gametes and embryos. There is substantial evidence that the bovine oviduct provides a source of high quality embryos, our understanding of this interaction is far from complete.
Succession and dynamics of Pristionchus nematodes and their microbiome during decomposition of Oryctes borbonicus on La Réunion Island

Insects and nematodes represent the most species-rich animal taxa and they occur together in a variety of associations. Necromenic nematodes of the genus Pristionchus are found on scarab beetles with more than 30 species known from worldwide samplings. However, little is known about the dynamics and succession of nematodes and bacteria during the decomposition of beetle carcasses. Here, we study nematode and bacterial succession of the decomposing rhinoceros beetle Oryctes borbonicus on La Réunion Island. We show that Pristionchus pacificus exits the arrested dauer stage seven days after the beetles´ deaths. Surprisingly, new dauers are seen after 11 days, suggesting that some worms return to the dauer stage after one reproductive cycle. We used high-throughput sequencing of the 16S rRNA genes of decaying beetles, beetle guts and nematodes to study bacterial communities in comparison to soil. We find that soil environments have the most diverse bacterial communities. The bacterial community of living and decaying beetles are more stable but one single bacterial family dominates the microbiome of decaying beetles. In contrast, the microbiome of nematodes is relatively similar even across different families. This study represents the first characterization of the dynamics of nematode-bacterial interactions during the decomposition of insects.
Profile of 24-h Light Exposure and Circadian Phase of Melatonin Secretion in Night Workers

Light exposure was measured in 30 permanent night nurses to determine if specific light/dark profiles could be associated with a better circadian adaptation. Circadian adaptation was defined as a significant shift in the timing of the episode of melatonin secretion into the daytime. Light exposure was continuously recorded with ambulatory wrist monitors for 56 h, including 3 consecutive nights of work. Participants were then admitted to the laboratory for 24 h where urine was collected every 2 h under dim light for the determination of 6-sulphatoxymelatonin concentration. Cosinor analysis was used to estimate the phase position of the episode of melatonin secretion. Five participants showed a circadian adaptation by phase delay (“delayed participants”) and 3 participants showed a circadian adaptation by phase advance (“advanced participants”). The other 22 participants had a timing of melatonin secretion typical of day-oriented people (“nonshifters”). There was no significant difference between the 3 groups for total light exposure or for bright light exposure in the morning when traveling home. However, the 24-h profiles of light exposure were very distinctive. The timing of the main sleep episode was associated with the timing of light exposure. Delayed participants, however, slept in darker bedrooms, and this had a major impact on their profile of light/dark exposure. Delayed and advanced participants scored as evening and morning types, respectively, on a morningness-eveningness scale. This observation suggests that circadian phase prior to night work may contribute to the initial step toward circadian adaptation, later reinforced by specific patterns of light exposure.
Distributed Queuing-based Random Access Procedure in Mobile Networks

Random access procedure is an access mechanism to radio resources in Long Term Evolution (LTE) mobile networks to handle a competition for radio resources of Machine Type Communication (MTC) devices. In the random access procedure, the MTC devices transmit a request for radio resources in the first available opportunity. The devices which select the same resource fail the access and need to compete again. Thus, in the case that massive number of MTC devices are competing at the same time and transmit the access request simultaneously, the system performance may degrade for the high collision probability. Thus, a challenge is to develop a solution ensuring low collision probability for massive number of MTC devices while guaranteeing fairness. A suitable extension of a conventional random access procedure towards support of massive MTC access is to distribute colliding devices into parallel queues. This approach is known as Distributed Queueing Random Access Procedure (DQRAP). The DQRAP improves the performance regardless of the number of MTC devices and thus enables massive MTC communication. This thesis aims to development of analytical models to estimate the performance of the average maximum access delay and the average number of transmissions in a multi-channel slotted ALOHA system using DQRAP. As the results of a numerical analysis and simulations show, the proposed models accurately approximate the simulations.
Effect of imidapril on heterogeneity of slow component of delayed rectifying K+ current in rabbit left ventricular hypertrophic myocytes.

AIM To investigate the transmural heterogeneous change of slow component of delayed rectifying potassium current in rabbit left ventricular hypertrophic myocytes and the effect of long-term treatment with imidapril (Imi). METHODS Rabbits were divided into hypertrophy group (left ventricular hypertrophy induced by partial ligation of abdominal aorta), Imi-treated group (surgical treatment as hypertrophy group was treated with Imi), and Sham-operated group as control. Whole-cell patch-clamp technique was used to record potassium currents. RESULTS (1) Membrane capacitance was larger in hypertrophic cells than in sham-operated and Imi-treated cells. Action potential durations (APD) of epicardium (Epi), midmyocardium (M), and endocardium (Endo) were remarkably longer in hypertrophic cells than those in Imi-treated and sham-operated cells. The prolongation of APD90 of M was the most pronounced in three layer myocytes of hypertrophic group. (2) The densities of I(Ks,tail) of hypertrophic cells were reduced by Epi 25.3 %+/-2.9 %, M 38.0 %+/-3.7 % and Endo 20.3 %+/-4.7 % compared with those of sham-operated cells. The decrease of IKs,tail density was more pronounced in M than in Epi and Endo (n = 13, P<0.01 vs Epi or Endo). (3) The density of I(Kr,tail) in Imi-treated cells was not different from that in sham-operated cells significantly (n=10). CONCLUSION Imi reduced prolongation of APD and inhibited the heterogeneous change of I(Ks,tail) in rabbit left ventricular hypertrophic myocytes.
Parallel ant colony optimization for 3D protein structure prediction using the HP lattice model

The protein folding problem studies the way in which a protein - a chain of amino acids - will 'fold' into its natural state. Predicting the way in which various proteins fold can be fundamental in developing treatments of diseases such as Alzeihmers and Systic Fibrosis. Classical solutions to calculating the final conformation of a protein structure are resource-intensive. The Hydrophobic-Hydrophilic (HP) method is one way of simplifying the problem. We introduce a novel method of solving the HP protein folding problem in both two and three dimensions using ant colony optimizations and a distributed programming paradigm. Tests across a small number of processors indicate that the multiple colony distributed ACO (MACO) approach is scalable and outperforms single colony implementations.
Weighted Consensus Clustering

Consensus clustering has emerged as an important extension of the classical clustering problem. We propose weighted consensus clustering, where each input clustering is weighted and the weights are determined in such a way that the final consensus clustering provides a better quality solution, in which clusters are better separated comparing to standard consensus clustering. Theoretically, we show that a reformulation of the wellknown L1 regularization LASSO problem is equivalent to the weight optimization of our weighted consensus clustering, and thus our approach provides sparse solutions which may resolve the difficult situation when the input clusterings diverge significantly. We also show that the weighted consensus clustering resolves the redundancy problem when many input clusterings correlate highly. Detailed algorithms are given. Experiments are carried out to demonstrate the effectiveness of the weighted consensus clustering.
Results of Isolated Emergency Coronary Bypass Surgery According to Acute Coronary Syndrome

Introduction: The aim of the present study was to evaluate the results of isolated emergency coronary artery bypass grafting (CABG) according to acute coronary syndrome (ACS) types in a single center with 5-year experience. Patients and Methods: A total of 138 patients who underwent emergency isolated CABG surgery from September 2009 to July 2014 in our hospital were enrolled in this retrospective descriptive study. The cohort was divided into four groups according to the type of ACS: (1) unstable angina (USAP) (n= 14, 10.1%), (2) nonST segment elevated myocardial infarction (NSTEMI) (n= 43, 31.2%), (3) ST segment elevated myocardial infarction (STEMI) (n= 65, 47.1%), and (4) cardiogenic shock (SHOCK) (n= 16, 11.6%). There were three coprimary outcomes in the study: (1) in-hospital and 30-day mortality rate results, (2) mortality analysis according to subgroups, and (3) to assess the performance of European System for Cardiac Operative Risk Evaluation (EuroScore) II in patients with ACS who underwent emergency isolated CABG. Results: No significant differences were observed between the groups with regard to demographic and preoperative risk factors. The observed 30-day total mortality rate was 15.9% (n= 22). Mortality rates in the subgroups were 7% (n= 1) in USAP, 4.65% (n= 2) in NSTEMI, 15.38% (n= 10) in STEMI, and 68.75% (n= 11) in SHOCK, respectively. There was a significant difference in mortality between the groups (p< 0.05). The receiver operating characteristic curve value of EuroScore II was 0.890 (95% Confidence Interval, 0.826-0.937). Conclusion: The current study demonstrates that the observed mortality rate for STEMI and SHOCK patients requiring emergency CABG remains high. Moreover, EuroScore II has a good risk prediction in NSTEMI patients while significantly underestimates the mortality in the other groups.
Heterogeneous organization of the locus coeruleus projections to prefrontal and motor cortices

Significance The locus coeruleus projection system in the brain is thought to exert uniform and synchronous modulatory effects on cells and circuits throughout the CNS by widespread release of its transmitter, norepinephrine. We challenge this notion by demonstrating that neurons in the locus coeruleus maintain segregated connections to brain regions with distinctly different functions. Specifically, cells that communicate with the prefrontal cortex, a region involved in cognition and executive function, are characterized by properties that allow for independent and asynchronous modulation of operations in this area, compared with those that project to the motor cortex and regulate movement generation. These findings have important implications for understanding the role of this system in normal brain physiology and pathologic neuropsychiatric conditions. The brainstem nucleus locus coeruleus (LC) is the primary source of norepinephrine (NE) to the mammalian neocortex. It is believed to operate as a homogeneous syncytium of transmitter-specific cells that regulate brain function and behavior via an extensive network of axonal projections and global transmitter-mediated modulatory influences on a diverse assembly of neural targets within the CNS. The data presented here challenge this longstanding notion and argue instead for segregated operation of the LC–NE system with respect to the functions of the circuits within its efferent domain. Anatomical, molecular, and electrophysiological approaches were used in conjunction with a rat model to show that LC cells innervating discrete cortical regions are biochemically and electrophysiologically distinct from one another so as to elicit greater release of norepinephrine in prefrontal versus motor cortex. These findings challenge the consensus view of LC as a relatively homogeneous modulator of forebrain activity and have important implications for understanding the impact of the system on the generation and maintenance of adaptive and maladaptive behaviors.