Miracle-dz/UniFAR-FTUs huggingface dataset:
AN OVERVIEW OF FRACTIONAL ORDER SIGNAL PROCESSING (FOSP) TECHNIQUES

This paper presents a brief overview of some existing fractional order signal processing (FOSP) techniques where the developments in the mathematical communities are introduced; relationship between the fractional operator and long-range dependence is demonstrated, and fundamental properties of each technique and some of its applications are summarized. Specifically, we presented a tutorial on 1) fractional order linear systems; 2) autoregressive fractional integrated moving average (ARFIMA); 3) 1/fα noise; 4) Hurst parameter estimation; 5) fractional order Fourier transformation (FrFT); 6) fractional order linear transforms (Hartley, Sine, Cosine); 7) fractal; 8) fractional order splines; 9) fractional lower order moments (FLOM) and 10) fractional delay filter. Whenever possible, we indicate the connections between these FOSP techniques.Copyright © 2007 by ASME
Design and evaluation of parallel pipelined join algorithms

The join operation is the most costly operation in relational database management systems. Distributed and parallel processing can effectively speed up the join operation. In this paper, we describe a number of highly parallel and pipelined multiprocessor join algorithms using sort-merge and hashing techniques. Among them, two algorithms are parallel and pipelined versions of traditional sort-merge join methods, two algorithms use both hashing and sort-merge techniques, and another two are variations of the hybrid hash join algorithms. The performance of those algorithms is evaluated analytically against a generic database machine architecture. The methodology used in the design and evaluation of these algorithms is also discussed. The results of the analysis indicate that using a hashing technique to partition the source relations can dramatically reduce the elapsed time hash-based algorithms outperform sort-merge algorithms in almost all cases because of their high parallelism. Hash-based sort-merge and hybrid hash methods provide similar performance in most cases. With large source relations, the algorithms which replicate the smaller relation usually give better elapsed time. Sharing memory among processors also improves performance somewhat.
Role of Mitochondrial Retrograde Pathway in Regulating Ethanol-Inducible Filamentous Growth in Yeast

In yeast, ethanol is produced as a by-product of fermentation through glycolysis. Ethanol also stimulates a developmental foraging response called filamentous growth and is thought to act as a quorum-sensing molecule. Ethanol-inducible filamentous growth was examined in a small collection of wine/European strains, which validated ethanol as an inducer of filamentous growth. Wine strains also showed variability in their filamentation responses, which illustrates the striking phenotypic differences that can occur among individuals. Ethanol-inducible filamentous growth in Σ1278b strains was independent of several of the major filamentation regulatory pathways [including fMAPK, RAS-cAMP, Snf1, Rpd3(L), and Rim101] but required the mitochondrial retrograde (RTG) pathway, an inter-organellar signaling pathway that controls the nuclear response to defects in mitochondrial function. The RTG pathway regulated ethanol-dependent filamentous growth by maintaining flux through the TCA cycle. The ethanol-dependent invasive growth response required the polarisome and transcriptional induction of the cell adhesion molecule Flo11p. Our results validate established stimuli that trigger filamentous growth and show how stimuli can trigger highly specific responses among individuals. Our results also connect an inter-organellar pathway to a quorum sensing response in fungi.
IOT Based Intelligent Street Lighting System for Smart City

This venture goes for planning and executing the propelled advancement in inserted frameworks for vitality sparing of road lights. As of now we used manual framework i.e In night the road lights will be ON in the night prior and turned OFF in following day morning. Be that as it may, the real planning for these traffic lights would be exchanged to ON condition when there will be is total obscurity. Here, dissipation of power occurred up to a specified degree. Result of this, we have wastage of power. Additionally, physical operation is completely absent in proposed lighting framework. This New framework give an answer for vitality sparing. This is accomplished by detecting and moving toward a vehicle utilizing an transmitter of InfraRed; and a Receiver which is made with with infrared. Simultäneous detection of sensor developmental transmit the information for a micròcontroller which conjointly switching ON light Essentially when the vehicle or a deterrent leaves the Light extort turning OFF when a sense is made by a sensor for each question in a mèantime the status; (Turn ON / Turn OFF) of street light of the road got to from anyplace and buttoned up web. Venture actualized over; a savvy inserted framework which supervisions roadway lights in light identification of trucks/Busses/cars etc or some other obstructions. ; On any occasion that snag will distinguished in the city inside required predefined timeperiod naturally ON/OFF of light occured as indicated by hindrance discovery & a similar data can be gotten to through web. By using the Internet, from any place we can get road light continuous data i.e (ON/OFF) whenever, required.
Selective Secondary Education and Staying-On Duncan McVicar

Northern Ireland is unique among the regions of the UK in still having an almost entirely selective secondary education system, where roughly one third of pupils attend grammar schools. This paper sets out to study whether attending a grammar school up to age 16 has any effect, ceteris paribus, on the transition of young people from compulsory schooling to further schooling, Further Education, employment or training. Such an effect might exist because of differences in school culture between grammar and other schools. Based on data collected in 1995 for almost 1000 young people in Northern Ireland, we estimate choice-based multinomial logit models for their first destination immediately after completion of compulsory schooling and one year on. The models include a standard set of explanatory variables including examination results at 16 and family background factors as well as a grammar school dummy. Other school variables include a co-ed status dummy, attendance rates, average exam success and a dummy for the presence of a 6 Form. We find that attending a grammar school up to age 16 increases the staying-on rate. Given that high staying-on rates are needed to achieve the Government’s qualification targets for 2002, we argue that policy makers should try to apply aspects of grammar school culture across all schools in order to increase our chances of meeting these targets.
Demographics, Self-Autonomy, and Relationships as Predictors of Substance Use Among Community College Learners

Demographics, Self-Autonomy, and Relationships as Predictors of Substance Use Among Community College Learners by F. LaShell Robertson Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Psychology General Psychology Walden University August 2018 Abstract Abuse of prescription and over-the-counter substances other than alcohol is becoming a prevalent issue; therefore, it is important to identify factors that may help predict risk for this abuse. Some demographic and situational factors have been identified for traditional 4-year college students. However, less is known about community college students, who enter college less academically prepared and may be still enmeshed with family and peerAbuse of prescription and over-the-counter substances other than alcohol is becoming a prevalent issue; therefore, it is important to identify factors that may help predict risk for this abuse. Some demographic and situational factors have been identified for traditional 4-year college students. However, less is known about community college students, who enter college less academically prepared and may be still enmeshed with family and peer groups from high school. In this correlational study, predictors of substance abuse other than alcohol were explored among a convenience sample of 118 students from an American community college. The research question was developed based on previous research such as Bandura’s social learning theory and Arnett’s theory of emerging adults. The question explored how well gender (male, female, other) and 2 dimensions from the Ryff scale of psychological well-being (sense of autonomy and positive relationships with others) predict substance use among the community college sample. Use of substances other than alcohol was measured using the Drug Abuse Screening Test-10. A multiple linear regression analysis was used to test the research hypotheses. Although gender was not related to substance use, higher autonomy and more positive relationships scores were statistically significant predictors of higher use of substances other than alcohol among this sample. These findings were consistent with characteristics of emerging adulthood that may present risk factors for this group of college students. Findings support positive social change as they may be considered by stakeholders when considering possible prevention or intervention activities to address substance use issues on community college campuses. Demographics, Self-Autonomy, and Relationships as Predictors of Substance Use Among Community College Learners by F. LaShell Robertson Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Psychology
How to Deal With Chronic Patellar Instability

Context: Patellar instability is a common clinical problem, affecting between 7 and 49 people per 100,000. However, not all patellar instabilities are equal, the etiology of the disorder is multifactorial, and a clear understanding of the cause of instability is crucial for appropriate surgical treatment. The goal of this article is to identify how to best treat patellar instability to provide good outcomes and hopefully prevent future osteoarthritis. Evidence Acquisition: A PubMed search from 1983 through May 2015. Study Design: Clinical review. Level of Evidence: Level 4. Results: Several subpopulations of patients with chronic patellar instability exist: (1) lateral patellar instability during the early arc of knee flexion (0°-30°), (2) lateral patellar instability persisting beyond 30° of knee flexion, (3) lateral patellar instability in greater knee flexion, and (4) medial patellar instability. In patients with lateral instability during the early arc of knee flexion, the medial patellofemoral deficiency is the essential lesion. Persistent instability beyond 30° of knee flexion suggests an unusually high patella, severe trochlear dysplasia, pathologic increment of the tibial tuberosity–trochlear groove distance, or a combination of these factors. In patients with lateral instability in greater knee flexion, increasing and unbalanced tension in the extensors pulls the patella out of the groove as the knee is flexed. Finally, medial patellar instability is an objective iatrogenic condition that appears after realignment surgery in the vast majority of cases. Conclusion: The etiology of chronic patellar instability is multifactorial, and its treatment must therefore be personalized. Strength of Recommendation Taxonomy (SORT): B.
Effect of Methylphenidate in Patients with Cancer-Related Fatigue: A Systematic Review and Meta-Analysis

Background Cancer-related fatigue (CRF) is a common symptom affecting patients with cancer. There are an increasing number of trials examining potential treatments for CRF. Methylphenidate represents one of the most researched drugs and an up-to-date assessment of the evidence for its use is needed. Trials of methylphenidate for CRF provided inconsistent results. This meta-analysis was aimed at assessing the effect and safety of methylphenidate on CRF. Methods We comprehensively searched the Pubmed, EMBASE, PSYCHInfo and the Cochrane databases in order to identify published studies on the effect of methylphenidate on CRF. Primary outcomes included fatigue. Secondary outcomes included depression, cognition and adverse effects. Findings A meta-analysis was conducted on five randomized controlled trials and 498 patients were enrolled. Despite a large placebo effect observed in the studies included, pooled data suggested therapeutic effect of methylphenidate on CRF. Subgroup Analyses showed that the efficacy of methylphenidate on CRF is getting better with prolonging treatment duration, with a MD of −3.70 (95% CI −7.03– −0.37, p = 0.03) for long-time group and a MD of −2.49 (95% CI −6.01–1.03, p = 0.17) for short-time group. In general, there was no impact of methylphenidate on depression and cognition associated with CRF. Adverse events were similar between methylphenidate and placebo groups except that more patients reported vertigo, anxiety, anorexia and nausea in methylphenidate group compared to placebo group. Conclusion Existing trials of methylphenidate on CRF provided limited evidence for the use of methylphenidate to treat CRF. The absolute numbers still remain small, and further confirmation is needed before firm recommendations on their usage and safety can be made in the treatment of CRF.
Morphological and molecular characterization of a new microsporidian (Protozoa: Microsporidia) isolated from Spodoptera litura (Fabricius) (Lepidoptera: Noctuidae)

A microsporidium was isolated from larvae of Spodoptera litura (Fabricius) collected from Tamil Nadu, India. This microsporidian species is monomorphic, disporous and develops in direct contact with the cytoplasm of the host cell. The nuclear configuration of merogonic and sporogonic stages was diplokaryotic. The merogonic proliferative stage was unusual that normal development with 1, 2 and 4 binucleated forms were common, while large multinucleate meronts containing 8 and 12 small compact horseshoe-like diplokaryotic nuclei were also observed. The fresh spores were typically ovocylindrical in shape, with a mean size of 3·91×1·91 μm and the polar filament length was ~90 μm. Infection was systemic with mature spores produced in the midgut, nervous tissue, muscles, labial glands, gonads, tracheae, epidermis, Malpighian tubules and, most extensively, fat body tissues. The new isolate was highly pathogenic to S. litura larvae. Host specificity tests performed on 37 non-target hosts of 5 different insect orders revealed that the new isolate is pathogenic only to lepidopteran insects. We sequenced the 16S small subunit rRNA (SSU rRNA) gene of the isolate and compared it with 72 non-redundant microsporidian sequences from the GenBank. Based on the light microscopic studies and phylogenetic analyses, the new isolate is assigned to the genus Nosema. Significant differences in the SSU rRNA sequence were identified when compared with the type species Nosema bombycis and other closely related species viz., Nosema spodopterae. Structural differences were also observed in the 16S SSU rRNA between the new isolate and the two above-mentioned microsporidian pathogens. We conclude that the microsporidian isolate reported here is distinctly different from the other known species and is likely to be a new species.
UML Activity Diagrams : Versatile Roadmaps for Understanding System Behavior

The core purpose of software development is to provide solutions to customers' real problems. Use cases1 are a vital aspect of a technique that has been used successfully to ensure that development projects actually focus on these problems. They are used to discover, capture, and present customer requirements in a form that is accessible to developers, testers, and other stakeholders in a development project. To detail a use case, it is critical to capture basic, alternate, and exceptional flows of execution, which represent major and minor threads of execution the system encounters as it processes customer requests.
Toward a theory of validation of hybrid MinMax FuzzyNeuro systems

The validation and verification (V&V) of hybrid fuzzyneuro (HFN) or hybrid neurofuzzy (HNF) systems becomes of increasing concern as these systems are fielded and embedded in the every day operations of medical diagnosis, pattern recognition, fuzzy control and other industries-particularly so when life-critical and environment-critical aspects are involved. We provide in this paper a V&V perspective on the nature of HFN components, an appropriate life-cycle, and applicable systematic formal testing approaches. We consider why HFN V&V may be both easier and harder than traditional means, and we conclude with a series of practical V&V guidelines. Validation of HFN systems brings us to a systematic study of value approximation performed during the inference phase. It is accepted that generalization capability is proportional to value approximation.
Trust model simulation for supply chain management

A supply chain management (SCM) is the management of network having interconnected business nodes which spans all movements of services and goods from the point of origin to the point of consumption through chaining the services within the network. In the context of SCM within PLM, Trust modeling is an important and crucial aspect from the perspective of sustainability of the supply chain and to gain efficient performance in management of product life cycle. In the supply chain, the more we trust, the more we exchange information on demand and on forecast of the last customer so as with the level of stock and on the forecast of the suppliers. In this work, we attempted to model the Trust in SCM for using Agent Modeling Language (AML) and proposed a Multi Agent System (MAS) SCM model of trust in supply chain management. The proposed model is implemented using Java Agent Development Environment (JADE) and the simulation results demonstrated the impact of trust in supply chain along with the evolution of trust.
A brief history of web crawlers

Web crawlers have a long and interesting history. Early web crawlers collected statistics about the web. In addition to collecting statistics about the web and indexing the applications for search engines, modern crawlers can be used to perform accessibility and vulnerability checks on the application. Quick expansion of the web, and the complexity added to web applications have made the process of crawling a very challenging one. Throughout the history of web crawling many researchers and industrial groups addressed different issues and challenges that web crawlers face. Different solutions have been proposed to reduce the time and cost of crawling. Performing an exhaustive crawl is a challenging question. Additionally, capturing the model of a modern web application and extracting data from it automatically is another open question. What follows is a brief history of different techniques and algorithms used from the early days of crawling up to the recent days. We introduce criteria to evaluate the relative performance and objective of web crawlers. Based on these criteria we plot the evolution of web crawlers.
Netrin-1 Reduces Monocyte and Macrophage Chemotaxis towards the Complement Component C5a

Netrin-1, acting at its cognate receptor UNC5b, has been previously demonstrated to inhibit CC chemokine-induced immune cell migration. In line with this, we found that netrin-1 was able to inhibit CCL2-induced migration of bone marrow derived macrophages (BMDMs). However, whether netrin-1 is capable of inhibiting chemotaxis to a broader range of chemoattractants remains largely unexplored. As our initial experiments demonstrated that RAW264.7 and BMDMs expressed high levels of C5a receptor 1 (C5aR1) on their surface, we aimed to determine the effect of netrin-1 exposure on monocyte/macrophage cell migration induced by C5a, a complement peptide that plays a major role in multiple inflammatory pathologies. Treatment of RAW264.7 macrophages, BMDMs and human monocytes with netrin-1 inhibited their chemotaxis towards C5a, as measured using two different real-time methods. This inhibitory effect was found to be dependent on netrin-1 receptor signalling, as an UNC5b blocking antibody was able to reverse netrin-1 inhibition of C5a induced BMDM migration. Treatment of BMDMs with netrin-1 had no effect on C5aR1 proximal signalling events, as surface C5aR1 expression, internalisation and intracellular Ca2+ release following C5aR1 ligation remained unaffected after netrin-1 exposure. We next examined receptor distal events that occur following C5aR1 activation, but found that netrin-1 was unable to inhibit C5a induced phosphorylation of ERK1/2, Akt and p38, pathways important for cellular migration. Furthermore, netrin-1 treatment had no effect on BMDM cytoskeletal rearrangement following C5a stimulation as determined by microscopy and real-time electrical impedance sensing. Taken together these data highlight that netrin-1 inhibits monocyte and macrophage cell migration, but that the mechanism behind this effect remains unresolved. Nevertheless, netrin-1 and its cognate receptors warrant further investigation as they may represent a potential avenue for the development of novel anti-inflammatory therapeutics.
Fusion of Inertial/Magnetic Sensor Measurements and Map Information for Pedestrian Tracking

The wearable inertial/magnetic sensor based human motion analysis plays an important role in many biomedical applications, such as physical therapy, gait analysis and rehabilitation. One of the main challenges for the lower body bio-motion analysis is how to reliably provide position estimations of human subject during walking. In this paper, we propose a particle filter based human position estimation method using a foot-mounted inertial and magnetic sensor module, which not only uses the traditional zero velocity update (ZUPT), but also applies map information to further correct the acceleration double integration drift and thus improve estimation accuracy. In the proposed method, a simple stance phase detector is designed to identify the stance phase of a gait cycle based on gyroscope measurements. For the non-stance phase during a gait cycle, an acceleration control variable derived from ZUPT information is introduced in the process model, while vector map information is taken as binary pseudo-measurements to further enhance position estimation accuracy and reduce uncertainty of walking trajectories. A particle filter is then designed to fuse ZUPT information and binary pseudo-measurements together. The proposed human position estimation method has been evaluated with closed-loop walking experiments in indoor and outdoor environments. Results of comparison study have illustrated the effectiveness of the proposed method for application scenarios with useful map information.