Miracle-dz/UniFAR-FTUs huggingface dataset:
Phadoop : Power Balancing Cloud-Based Workloads by Sandeep Reddy Kandula

KANDULA, SANDEEP REDDY. Phadoop: Power Balancing Cloud-Based Workloads. (Under the direction of Frank Mueller.) Over the past years, we have seen an increased adoption of cloud computing across enterprises and this trend is predicted to continue. This has lead to a greater concentration of hardware in massive, power-hungry datacenters that form the backbone of a successful cloud service. It is essential for these datacenters to be energy efficient not only to cut down on electricity and hardware maintenance costs but also to be in compliance with environmental regulations. Although there have been tools to control the frequency of a processor to balance the power consumption and performance of a system, there is a dearth of tools to achieve the same by limiting the power consumption directly. The introduction of Intel’s Running Average Power Limit (RAPL) has created a new avenue where software agents can work in conjugation with the underlying hardware to dynamically enforce power bounds. Hadoop is a popular map-reduce system that is used by cloud vendors to provide large scale data-intensive and compute-intensive platforms. The Hadoop framework is built around an acyclic data flow model, which makes it unsuitable for iterative applications. In this work, we investigate whether it is beneficial to use RAPL interfaces to conserve the energy consumption of a CPU in a cloud-based workload without significant loss of performance. We have enhanced the Hadoop framework to support iterative scientific applications. We have designed and implemented Phadoop, an enhanced version of Hadoop YARN framework that utilizes RAPL’s power capping feature to mitigate computational imbalances in an application and to reduce CPU power consumption. This state-of-the-art framework makes use of a process pool to schedule map/reduce tasks and caches the input data to reduce I/O overhead. Our experimental evaluations show that RAPL interfaces can be used to cap the power consumption of a cloud-based workload. Using a set of synthetic benchmarks, we show that Phadoop conserves energy and performs better that Hadoop for iterative applications. To the best of our knowledge, such a power capping framework for cloud-based workloads is unprecedented. © Copyright 2014 by Sandeep Reddy Kandula
Executive functioning, ecological and biological predictors: Longitudinal evidence

 Certain skills are needed for children to be able to perform as successful adults. Specific attention is made to flexibility, creativity, self-control and discipline; all known to be parts of executive functioningEF (Diamond & Lee, 2011). Executive control, broadly, is defined an ensemble of higher order control operations that permits contextually sensitive, flexible responding (Miyake et al., 2000).
Demo abstract: An energy harvesting nonvolatile sensor node and its application to distributed moving object detection

Energy harvesting sensor nodes based on real nonvolatile processors are demonstrated to show the desirable characteristics of those systems, such as no battery, zero standby power, microsecond-scale sleep and wake-up time, high resilience to random power failures and fine-grained power management. Furthermore, we show its applications to a distributed moving object detection system, one of novel nonvolatile computing systems.
The use of medications for inflammatory bowel disease during pregnancy and nursing

Inflammatory bowel disease includes two primary disorders, ulcerative colitis and Crohn’s disease. These diseases mainly affect young adults, with a peak occurrence between 15 and 25 years of age. The causes of these diseases are largely unknown, with current treatments targeted against the heightened inflammatory response witnessed in the intestinal mucosa of both conditions. With the peak age ranges for pregnancy and inflammatory bowel disease overlapping, it is important to weigh the benefits of treating a mother during pregnancy against the potential risks to the fetus and the course of the pregnancy. This review examines the current safety data on medications used in women with inflammatory bowel disease during pregnancy.
Spatial diffuseness features for DNN-based speech recognition in noisy and reverberant environments

We propose a spatial diffuseness feature for deep neural network (DNN)-based automatic speech recognition to improve recognition accuracy in reverberant and noisy environments. The feature is computed in real-time from multiple microphone signals without requiring knowledge or estimation of the direction of arrival, and represents the relative amount of diffuse noise in each time and frequency bin. It is shown that using the diffuseness feature as an additional input to a DNN-based acoustic model leads to a reduced word error rate for the REVERB challenge corpus, both compared to logmelspec features extracted from noisy signals, and features enhanced by spectral subtraction.
Preparation of three‐dimensional macroporous chitosan–gelatin B microspheres and HepG2‐cell culture

Chitosan–gelatin B microspheres with an open, interconnected, highly macroporous (100–200 µm) structure were prepared via a three‐step protocol combining freeze‐drying with an electrostatic and ionic cross‐linking method. Saturated tripolyphosphate ethanol solution (85% ethanol) was chosen as the crosslinking agent to prevent destruction of the porous structure and to improve the biostability of the chitosan–gelatin B microspheres, with N‐(3‐dimethylaminopropyl)‐N′‐ethyl‐carbodiimide/N‐hydroxysuccinimide as a second crosslinking agent to react with gelatin A and fixed chitosan–gelatin B microspheres to attain improved biocompatibility. Water absorption of the three‐dimensional macroporous chitosan–gelatin B microspheres (3D‐P‐CGMs) was 12.84, with a porosity of 85.45%. In vitro lysozyme degradation after 1, 3, 5, 7, 10, 14, and 21 days showed improved biodegradation in the 3D‐P‐CGMs. The morphology of human hepatoma cell lines (HepG2 cells) cultured on the 3D‐P‐CGMs was spherical, unlike that of cells cultured under traditional two‐dimensional conditions. Scanning electron microscopy and paraffin sections were used to confirm the porous structure of the 3D‐P‐CGMs. HepG2 cells were able to migrate inside through the pore. Cell proliferation and levels of albumin and lactate dehydrogenase suggested that the 3D‐P‐CGMs could provide a larger specific surface area and an appropriate microenvironment for cell growth and survival. Hence, the 3D‐P‐CGMs are eminently suitable as macroporous scaffolds for cell cultures in tissue engineering and cell carrier studies. Copyright © 2014 John Wiley & Sons, Ltd.
Multiphoton Microscopy for Ophthalmic Imaging

We review multiphoton microscopy (MPM) including two-photon autofluorescence (2PAF), second harmonic generation (SHG), third harmonic generation (THG), fluorescence lifetime (FLIM), and coherent anti-Stokes Raman Scattering (CARS) with relevance to clinical applications in ophthalmology. The different imaging modalities are discussed highlighting the particular strength that each has for functional tissue imaging. MPM is compared with current clinical ophthalmological imaging techniques such as reflectance confocal microscopy, optical coherence tomography, and fluorescence imaging. In addition, we discuss the future prospects for MPM in disease detection and clinical monitoring of disease progression, understanding fundamental disease mechanisms, and real-time monitoring of drug delivery.
HSPG2 Gene C/A Polymorphism Does Not Confer Susceptibility to Alzheimer’s Disease in Chinese

Human HSPG2 participates in the formation of amyloid and tau aggregation in Alzheimer’s disease (AD). HSPG2 gene is located on a susceptibility region to late-onset AD (LOAD), and considered as a candidate gene for LOAD because of its function and location. We performed an association study between the HSPG2 BamH I polymorphism C/A of intron 6 and LOAD on 104 patients and 127 healthy controls of Chinese origin. The C allele was more prominent in LOAD patients than in controls, though the difference was not statistically significant. Likewise with the stratification of APOE Ε4 status, no statistical difference was observed between cases and controls. Our findings suggest that this polymorphism may not represent an additional genetic risk factor for LOAD.
Analyzing biological network parameters with CentiScaPe

Summary: The increasing availability of large network datasets along with the progresses in experimental high-throughput technologies have prompted the need for tools allowing easy integration of experimental data with data derived form network computational analysis. In order to enrich experimental data with network topological parameters, we have developed the Cytoscape plug-in CentiScaPe. The plug-in computes several network centrality parameters and allows the user to analyze existing relationships between experimental data provided by the users and node centrality values computed by the plug-in. CentiScaPe allows identifying network nodes that are relevant from both experimental and topological viewpoints. CentiScaPe also provides a Boolean logic-based tool that allows easy characterization of nodes whose topological relevance depends on more than one centrality. Finally, different graphic outputs and the included description of biological significance for each computed centrality facilitate the analysis by the end users not expert in graph theory, thus allowing easy node categorization and experimental prioritization. Availability: CentiScaPe can be downloaded via the Cytoscape web site: http://chianti.ucsd. edu/cyto_web/plugins/index.php. Tutorial, centrality descriptions and example data are available at: http://profs.sci.univr.it/∼scardoni/centiscape/centiscapepage.php Contact: giovanni.scardoni@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online.
State Laws for RTI: An Updated Snapshot

the definition of specific learning disabilities (SLD) has been “a long-standing source of controversy, conflict, and crisis” (Kavale & Forness, 2000, p. 239). Yet students with SLD continue to be more numerous by far than any other group receiving special education services (National Center for Education Statistics, 2009; Zirkel, 2007). The long-time controversy concerning the eligibility criteria for SLD reached a high point with the emergence of response to intervention (RTI) as purportedly more effective than the traditional severe discrepancy approach. The 2004 reauthorization of the Individuals With Disabilities Education Act (IDEA) provided that states may no longer require severe discrepancy and that school districts “may use a process that determines if a child responds to scientific, researchbased intervention as a part of” its SLD identification procedures (20 U.S.C. §1414(b)(6)). The resulting IDEA regulations (2008) required states to “adopt” SLD criteria that must not require severe discrepancy, must permit RTI, and “may permit the use of other alternative research-based procedures” for determining SLD eligibility (§ 300.307(a)). This article fills the gap in the literature with regard to the resulting state laws.
Optimal Estimation in Networked Control Systems Subject to Random Delay and Packet Drop

In this note, we study optimal estimation design for sampled linear systems where the sensors measurements are transmitted to the estimator site via a generic digital communication network. Sensor measurements are subject to random delay or might even be completely lost. We show that the minimum error covariance estimator is time-varying, stochastic, and it does not converge to a steady state. Moreover, the architecture of this estimator is independent of the communication protocol and can be implemented using a finite memory buffer if the delivered packets have a finite maximum delay. We also present two alternative estimator architectures that are more computationally efficient and provide upper and lower bounds for the performance of the time-varying estimator. The stability of these estimators does not depend on packet delay but only on the overall packet loss probability. Finally, algorithms to compute critical packet loss probability and estimators performance in terms of their error covariance are given and applied to some numerical examples.
Wikipedia as a time machine

Wikipedia encyclopaedia projects, which consist of vast collections of user-edited articles covering a wide range of topics, are among some of the most popular websites on internet. With so many users working collaboratively, mainstream events are often very quickly reflected by both authors editing content and users reading articles. With temporal signals such as changing article content, page viewing activity and the link graph readily available, Wikipedia has gained attention in recent years as a source of temporal event information. This paper serves as an overview of the characteristics and past work which support Wikipedia (English, in this case) for time-aware information retrieval research. Furthermore, we discuss the main content and meta-data temporal signals available along with illustrative analysis. We briefly discuss the source and nature of each signal, and any issues that may complicate extraction and use. To encourage further temporal research based on Wikipedia, we have released all the distilled datasets referred to in this paper.
Ball impact responses and failure analysis of wafer-level chip-scale packages

The ball impact test (BIT) was developed based on the demand of a package-level measure of the board-level reliability of solder joints in the sense that it leads to brittle intermetallic fracturing, similar to that from a board-level drop test. The BIT itself stands alone as a unique and novel test methodology in characterizing strengths of solder joints under a high-speed shearing load. In this work, we present BIT results conducted on package-level 95.5Sn-4Ag-0.5Cu solder joints of a wafer-level chip-scale package, under an impact velocity of 1.4 m/s. Scanning electron microscopy was employed to investigate intermetallic morphologies and fractographs around the under bump metallurgy before and after BIT, respectively. The explicit three-dimensional finite element analysis was also conducted and the comparison between computed and measured impact force profiles were presented.
Anomaly Detection in Network Traffic : A Statistical Approach

A global Internet usage enlarge rate of 380% superior than the period from 2000, the year of the dot-com bubble burst, until present select that Internet technology has become a stand of our daily life. In the similar period, cyber-crime has seen an unbelievable to facilitate to create sophisticated protection device for computers and networks a complete necessity. Firewalls as the major protection of the final decade do not give adequate protection anymore. This information has given increase to the expansion of intrusion detection and prevention systems. usual intrusion detection systems are hasty in the sense that they use a set of signatures, which lift at the same rate as new technique are exposed, to identify malicious traffic patterns. Anomaly detection systems are one more branch of intrusion detection systems that operate more proactively. They get a model of the normal system presentation and issue alerts whenever the behavior changes; making a suitable assumption that such changes are frequently caused by malicious or disrupting events. Anomaly detection has been a ground of comprehensive research over the last years as it pretense several challenging problems. In this Paper we present a statistical approach to analysis the allocation of network traffic to recognize the normal network traffic behavior. The Research proposals in anomaly detection naturally follow a fourstage approach, in which the initial three stages define the detection method, while the final stage is dedicated to authenticate the approach method to detect anomalies in network traffic, based on a α -stable model and statistical hypothesis testing. Here we focus on detecting and preventing two anomaly types, namely floods and flash-crowd . Here we use NS2 simulator to calculate result. 1.
Approaches for Word Sense Disambiguation: Current State of The Art

– Human languages includes many ambiguity words, each word will have different meaning or sense. Identifying correct sense of the word is purely depended on the context in which the word appears. There are many approaches to find the correct sense of the word. Word sense disambiguation is the process of differentiating among senses of words. WSD plays a vital role to reduce the ambiguity about the words in the telugu language and the dictionary is Word Net. There are many approaches for word sense disambiguity for telugu nouns. In this paper we discuss about the current state of the art of WSD and we concluded the problem of word sense disambiguation by a combination of different machine learning algorithms
Effects of Aloe Sterol Supplementation on Skin Elasticity, Hydration, and Collagen Score: A 12-Week Double-Blind, Randomized, Controlled Trial

Background/Aims: Our previous study confirmed that Aloe sterol stimulates collagen and hyaluronic acid production in human dermal fibroblasts. This study aims to investigate whether Aloe sterol intake affects skin conditions. Methods: We performed a 12-week, randomized, double-blind, placebo-controlled study to evaluate the effects of oral Aloe sterol supplementation on skin elasticity, hydration, and the collagen score in 64 healthy women (age range 30-59 years; average 44.3 years) who were randomly assigned to receive either a placebo or an Aloe sterol-supplemented yogurt. Skin parameters were measured and ultrasound analysis of the forearm was performed. Results: ANCOVA revealed statistical differences in skin moisture, transepidermal water loss, skin elasticity, and collagen score between the Aloe sterol and placebo groups. The gross elasticity (R2), net elasticity (R5), and biological elasticity (R7) scores of the Aloe sterol group significantly increased with time. In addition, skin fatigue area F3, which is known to decrease with age and fatigue, also increased with Aloe sterol intake. Ultrasound echogenicity revealed that the collagen content in the dermis increased with Aloe sterol intake. Conclusion: The results suggest that continued Aloe sterol ingestion contributes to maintaining healthy skin.
The Vygotsky Reader

Preface. Introduction. 1. Introduction to the Russian translation of Freuda s Beyond the pleasure principle: Lev Vygotsky and Alexander Lurina. 2. Principles of social education for deaf and dumb children in Russia: Lev Vygotsky. 3. The methods of reflexological and psychological investigation: Lev Vygotsky. 4. The problem of the cultural behaviour of the child: Alexander Luria. 5. The problem of the cultural development of the child: Lev Vygotsky. 6. Methods for investigating concepts: Leonid Sakharov. 7. Tool and Symbol in child development: Lev Vygotsky and Alexander Luria. 8. The socialist alteration: Lev Vygotsky. 9. The development of thinking and concept formation in adolescence: Lev Vygotsky. 10. Imagination and creativity of the adolescent: Lev Vygotsky. 11. The development of voluntary attention in the child: Aleksej Leonta ev. 12. Thought in schizophrenia: Lev Vygotsky. 13. Fascism in psychoneurology: Lev Vygotsky. 14. The problem of the environment: Lev Vygotsky. 15. The development of academic concepts in school aged children: Lev Vygotsky. Name Index. Subject Index.
Speed and area tradeoffs in cluster-based FPGA architectures

One way to reduce the delay and area of field-programmable gate arrays (FPGAs) is to employ logic-cluster-based architectures, where a logic cluster is a group of logic elements connected with high-speed local interconnections. In this paper, we empirically evaluate FPGA architectures with logic clusters ranging in size from 1 to 20, and show that compared to architectures with size 1 clusters, architectures with size 8 clusters have 23% less delay (30% faster clock speed) and require 14% less area. We also show that FPGA architectures with large cluster sizes can significantly reduce design compile time-an increasingly important concern as the logic capacity of FPGA's rises. For example, an architecture that uses size 20 clusters requires seven times less compile time than an architecture with size 1 clusters.
Irreversible hypoglycemia. A complication of alcohol and insulin.

The glucose-lowering action of alcohol augments that of other hypoglycemic agents and may induce severe hypoglycemia with irreversible neurological changes. Five insulin-dependent diabetics were hospitalized with severe hypoglycemia after an alcohol debauch. Three of the five had permanent damage to the nervous system, while the other two patients died without recovery from initial coma. Infusion of alcohol during a standard insulin tolerance test in six healthy subjects inhibited the usual rebound of glucose after hypoglycemia. Alcohol interferes with hepatic glyconeogenesis and induces hypoglycemia whenever giyconeogenesis is required to maintain normal glucose levels. Diabetics receiving other hypoglycemic agents should be warned about the blood glucose-lowering action of alcohol.
Electromagnetically driven elastic actuator

Elastic and active elements will play a leading role in the development of dexterous and compliant robots. We present the fabrication of an elastic functional structure with ferromagnetic properties capable of producing compressive stress and strain in the presence of magnetic fields. The elastic structure consists of a mixture of a soft elastomer and 99% pure iron powder. The magnetic and elastic properties of the material were modeled and investigated based on the principles of electromagnetism. These elastic actuators reach up to approximately -2700 N/m2 stress and achieve a strain of approximately 17% when embedded in a solenoid coil. The elastic actuators are promising for use as muscle-like structures while they provide softness in interaction.
Pseudoprogression and Pseudoresponse: Imaging Challenges in the Assessment of Posttreatment Glioma

The current standard of care for newly diagnosed cases of high-grade glioma is surgical resection followed by RT with concurrent chemotherapy. The most widely used criteria for assessing treatment response are based on a 2D measurement of the enhancing area on MR imaging known as the Macdonald Criteria. Recently, nontumoral increases (pseudoprogression) and decreases (pseudoresponse) in enhancement have been found, and these can confuse outcome evaluation. Here we review pseudoprogression and pseudoresponse and describe how better understanding of these phenomena can aid interpretation.
Optimized Node Selection for Compressive Sleeping Wireless Sensor Networks

In this paper, we propose an active node selection framework for compressive sleeping wireless sensor networks (WSNs) to improve signal acquisition performance, network lifetime, and the use of spectrum resources. While conventional compressive sleeping WSNs only exploit the spatial correlation of sensor nodes, the proposed approach further exploits the temporal correlation by selecting active nodes using the support of the data reconstructed in the previous time instant. The node selection problem is framed as the design of a specialized sensing matrix, where the sensing matrix consists of selected rows of an identity matrix. By capitalizing on a genie-aided reconstruction procedure, we formulate the active node selection problem into an optimization problem, which is then approximated by a constrained convex relaxation plus a rounding scheme. Simulation results show that our proposed active node selection approach leads to an improved reconstruction performance, network lifetime, and spectrum usage, in comparison to various node selection schemes for compressive sleeping WSNs.