Miracle-dz/UniFAR-FTUs huggingface dataset:
Alleviation of glucose repression of maltose metabolism by MIG1 disruption in Saccharomyces cerevisiae

The MIG1 gene was disrupted in a haploid laboratory strain (B224) and in an industrial polyploid strain (DGI 342) of Saccharomyces cerevisiae. The alleviation of glucose repression of the expression of MAL genes and alleviation of glucose control of maltose metabolism were investigated in batch cultivations on glucose-maltose mixtures. In the MIG1-disrupted haploid strain, glucose repression was partly alleviated; i.e., maltose metabolism was initiated at higher glucose concentrations than in the corresponding wild-type strain. In contrast, the polyploid delta mig1 strain exhibited an even more stringent glucose control of maltose metabolism than the corresponding wild-type strain, which could be explained by a more rigid catabolite inactivation of maltose permease, affecting the uptake of maltose. Growth on the glucose-sucrose mixture showed that the polypoid delta mig1 strain was relieved of glucose repression of the SUC genes. The disruption of MIG1 was shown to bring about pleiotropic effects, manifested in changes in the pattern of secreted metabolites and in the specific growth rate.
SOCIAL LINGUISTICS AND LITERACIES: IDEOLOGY IN DISCOURSES (2nd ed.).James Paul Gee. Bristol, PA: Taylor & Francis, 1996. Pp. xi + 218. $75.00 cloth, $25.95 paper.

Social linguistics is now in its second edition and has been integrated into a series of publications edited by Allan Luke entitled Critical perspectives on literacy and education. Thoroughly revising his first edition, Gee offers researchers, teachers, and students a challenging compendium of theory and analysis of language use in society. He integrates social and political relations of power and dominance into his discussion of literacies, highlighting the potential ideological conflicts between non-mainstream communities and schools, conflicts rooted in divergent uses, and evaluations of language.
A new extension method of retention time for memory cell on dynamic random access memory

Demands have been placed on a dynamic random access memory (DRAM) to not only have increased memory capacity and data transfer speed but also have reduced operating and standby currents. When a system uses a DRAM, a refresh operation is necessary because of its data retention time restriction: each bit of the DRAM is stored as an amount of electrical charge in a storage capacitor. Power consumption for the refresh operation increases in proportion to the memory capacity. A new method is proposed to reduce refresh power consumption dynamically when the full memory capacity is not required, by effectively extending the memory cell retention time. Conversion from 1 cell/bit to 2N cells/bit reduces the variation of retention time among memory cells. This method reduces the frequency of disturbance and its power consumption by two orders of magnitude. The conversion itself can be realized very simply from the structure of the DRAM array circuit, maintaining all conventional functions and operations in case of the full array access mode.
Graph-based and Lexical-Syntactic Approaches for the Authorship Attribution Task

In this paper we present two different approaches for tackling the authorship attribution task. The first approach uses a set of phrase-leve l lexicalsyntactic features, whereas the second approach considers a graph -based text representation together with a data mining technique for discovering authorship patterns which may be further used for attributing the authorship of an anony m us document. In both cases we employed a support vector machine classifi er in order to determine the target class. The features extracted by means of the gra p -based approach allowed it to obtain a better performance than the other approac h.
Based on Tabu Search and Particle Swarm Optimization Algorithms Solving Job Shop Scheduling Optimization Problems

Solving the Job shop Scheduling problem, the design is based on Particle Swarm Optimization and Taboo Search which is a fast algorithm, And in this algorithm, bring in particle swarm strategy and taboo search strategy, A hybrid intelligence algorithm based on Particle Swarm algorithm and the taboo Search algorithm(TS-PSO) is designed. It overcomes particle swarm optimization algorithm in solving combinatorial optimization problem, and better to avoid the tabu search algorithm falling into local optimum, and convergence speed has also been increased. Through particle swarm and taboo search algorithm combined, the results show that this algorithm has very good accuracy of convergence, and is feasible, and compared with the traditional scheduling algorithm, Embodies the obvious superiority.
Constructing fuzzy classification systems from weighted training patterns

In this paper, we examine the effect of weighting training patterns on the performance of fuzzy rule-based classification systems. A weight is assigned to each given pattern based on the class distribution of its neighboring given patterns. The values of weights are determined proportionally by the number of neighboring patterns from the same class. Large values are assigned to given patterns with many patterns from the same class. Patterns with small weights are not considered in the generation of fuzzy rule-based classification systems. That is, fuzzy if-then rules are generated from only patterns with large weights. These procedures can be viewed as preprocessing in pattern classification. The effect of weighting is examined for an artificial data set and several real-world data sets.
Abstract 136: DEFINING THE SALVAGE TIME WINDOW FOR THE USE OF ISCHEMIC POST-CONDITIONING IN SKELETAL MUSCLE ISCHEMIA REPERFUSION INJURY

Introduction: Ischemic postconditioning (IPOC) has been shown to ameliorate ischemia/reperfusion (I/R) injury in skeletal muscle and skin  aps. However, recent studies suggest that the bene ts (and potential risks) of IPOC may be dependent on the duration of ischemia. The purpose of this study was to de ne the optimal ischemic salvage time window for which IPOC reduces I/R injury in a skeletal muscle  ap.
Phosphorus Losses in Runoff from Virginia Soils

Previous research shows that dissolved P losses in runoff are well related to soil test P (STP), thus, various P loss prediction models incorporate the use of a STP vs. runoff DRP relationship. However, the relationship between STP and runoff DRP will vary based on soil type due to differences in soil properties. The purposes of the first two studies were to (i) investigate the effect of soil mineralogy on P sorption behavior and dissolved P in runoff and (ii) determine if any simple soil test extractions could indirectly take into account this effect of mineralogy. Nine soil types from the Virginia Piedmont, Coastal Plain, and Ridge and Valley were collected and used in a rainfall simulation study. Phosphorus retention among separated clay fractions and whole soils were related to Al bearing minerals such as hydroxyinterlayered vermiculite (HIV), gibbsite, and amorphous Al. Samples dominated by kaolinite retained very little P. Application of these results to runoff data showed that soil types with a HIV:kaolinite ratio > 0.5 caused significantly less DRP in runoff for a given soil WSP level compared to soils with a ratio 90% manure particles. Manure particles were directly deposited into the collection container followed by desorption of P based upon the WSP content of that manure type. The results emphasized best management practices that prevent direct loss of manure particles from soil into surface waters.
The effect of consumption emotions on satisfaction and word‐of‐mouth communications

This paper examines the impact of consumption emotions on consumers' satisfaction and how it affects what they tell other consumers. The conceptual model is based on the premise that pleasure and arousal influence satisfaction, word-of-mouth (WOM) communications, and the likelihood of generating WOM. A study of 470 moviegoers in a French Canadian city supports most of these relationships. The results indicate that even when the effects of satisfaction are accounted for, pleasure and arousal have significant effects on WOM. © 2007 Wiley Periodicals, Inc.
Targeting Plk1 to chromosome arms and regulating chromosome compaction by the PICH ATPase

During mitosis, chromosomes undergo dynamic structural changes that include condensation of chromosomes – the formation of individual compact chromosomes necessary for faithful segregation of sister chromatids in anaphase. Polo-like kinase 1 (Plk1) regulates multiple mitotic events by binding to targeting factors at different mitotic structures in a phosphorylation dependent manner. In this study, we report the identification of a putative ATPase that targets Plk1 to chromosome arms during mitosis. PICH (Plk1-interacting checkpoint “helicase”) displays a temporal localization on chromosome arms and kinetochores during early mitosis. Interaction with PICH recruits Plk1 to chromosome arms and disruption of this interaction abolishes Plk1 localization on chromosome arms. Moreover, depletion of PICH or overexpression of PICH mutant that is defective in Plk1 binding or ATP binding causes defects in mitotic chromosome compaction, formation of anaphase bridge and cytokinesis failure. We provide data to show that both PICH phosphorylation and its ATPase activity are required for mitotic chromosome compaction. Our study provides a mechanism for targeting Plk1 to chromosome arms and suggests that the PICH ATPase activity is important for the regulation of mitotic chromosome architecture.
Deep metric learning autoencoder for nonlinear temporal alignment of human motion

Temporal alignment is an important preprocessing procedure for human action recognition. The challenge of temporal alignment problem is the temporal scale difference between human actions as well as the variability of each subject. Metric learning is the central problem of temporal alignment. This paper presents a nonlinear time alignment method with deep autoencoder. The spatio-temporal features obtained from the neural network contain the metric information for feature comparison. The effectiveness of our method is verified with k-nearest neighbor (k-NN) classifier on MSR-Action 3D and MSR-Daily Activity 3D datasets. Experimental results illustrate that the proposed method achieves superior performance to other metric based techniques.
Study on Cooperative Logistics Information System According to Supply Chain Management

According to the increasing competition, companies are moving towards cooperative relationships in an effort to make the supply chain as a whole more competitive. But, currently most logistics information system aims to optimize an enterprise's logistics management. It leads to be unable fully obtaining the competitive advantage which the modern logistics brings. The purpose of this paper is to explore the use of soft-agent to construct SCM-wide LIS. Through analyzing characteristics of cooperative LIS and its three kinds of cooperative requirements, it is considered as a cooperative and distributed system. Two questions are distinguished in building cooperative LIS, about cooperative processing and heterogeneous functional components integrating. Then, architecture of LIS based on multi-agent system is proposed. At last, an example is used to illuminate its cooperative processing flow and indicate the MA-LIS can realize cooperative processing in SCM-wide.
Career Patterns of Executive Women in Finance: An Optimal Matching Analysis1

This article examines the objective and subjective facets of female finance‐executive careers. Optimal matching and qualitative analyses are used to show how the careers are shaped by workplace structures and by the early 1970s enforcement of women's employment rights. Changing opportunity structures in turn shaped respondents' perspectives. Many younger respondents were unaware that their mobility was partly due to the creative action of their female predecessors and took personal credit for their own rapid progress. Finally, it appears that as women have experienced more freedom in pursuing finance careers, their career trajectories have become more rigid.
SESSION – PACKET INSPECTOR MOBILE AGENT TO PREVENT ENCRYPTED COOKIES AND HTTP POST HIJACKING IN MANET

A statistics states that public Wi-Fi hotspots are set to grow from 1.3 million in 2011 to 5.8 million by 2015. Due to increase in public free Wi-Fi access, users count increases rapidly letting them to expose in vulnerable intrusion attacks. Accessing the social network and other confidential sites such as banking in public Wi-Fi, exposes the credential to the intruder. Man-in-the-middle attack plays a major role in accessing the user credential. Analysing the packets exposes the HTTP post information in the network. Capturing encrypted cookies by the man-in-the-middle can access the secure site and allows the intruder to be an authorized person. Mobile agent is a piece of code that migrates and performs actions in the host and is used to prevent intrusion. We propose a model to prevent intrusion in the wireless ad-hoc network using mobile agent. Session-Packet inspector is proposed to handle HTTP post hijacking and encrypted cookie usage by the intruder.
Effect of microstructure on the mechanical and damping behaviour of dragonfly wing veins

Insect wing veins are biological composites of chitin and protein arranged in a complex lamellar configuration. Although these hierarchical structures are found in many ‘venous wings' of insects, very little is known about their physical and mechanical characteristics. For the first time, we carried out a systematic comparative study to gain a better understanding of the influence of microstructure on the mechanical characteristics and damping behaviour of the veins. Morphological data have been used to develop a series of three-dimensional numerical models with different material properties and geometries. Finite-element analysis has been employed to simulate the mechanical response of the models under different loading conditions. The modelling strategy used in this study enabled us to determine the effects selectively induced by resilin, friction between layers, shape of the cross section, material composition and layered structure on the stiffness and damping characteristics of wing veins. Numerical simulations suggest that although the presence of the resilin-dominated endocuticle layer results in a much higher flexibility of wing veins, the dumbbell-shaped cross section increases their bending rigidity. Our study further shows that the rubber-like cuticle, friction between layers and material gradient-based design contribute to the higher damping capacity of veins. The results of this study can serve as a reference for the design of novel bioinspired composite structures.
Muscle activation of stroke patients during stair climbing in robot assisted gait training

For central nervous system (CNS) impaired patients, e.g. after stroke, the achievement of an independent, stable gait function and endurance in walking is essential for independent mobility in daily life. Modern concepts of rehabilitation favor a task specific repetitive training, that facilitates natural motion and muscle activation patterns, i.e. in addition to commonly practiced floor walking other gait motions of daily living (ADL), such as stair climbing, should be trained. In gait rehabilitation of severely affected non-ambulatory patients, a guided training must be applied as no or only little voluntary motor control is left in the affected side. The rehabilitation robot HapticWalker is the first device that allows for robot assisted guided training of arbitrary foot trajectories, e.g. also stair climbing. The goal of this study was to assess the effect of guided training in stair climbing condition on the HapticWalker on the movement and muscle activation patterns of stroke patients. Generally rhythmic and phasic muscle activation patterns were observed, which is an important factor in gait rehabilitation. The training of stair climbing condition on the HapticWalker also facilitated body weight shift in all patients and proper activation of weight bearing muscles. The HapticWalker currently lacks a lateral hip guidance facility, hence individual differences in the ability of controlling hip movement and body weight shift depending on the level of gait ability were observed.
Teaching third-grade students to comprehend anaphoric relationships: The application of a direct instruction model

THIS STUDY investigated the effectiveness of a direct instruction model for teaching children to comprehend anaphoric relationships. Fifty-nine third-grade children were assigned randomly to one of three treatments: a strategy group, in which subjects received intensive, systematic instruction in anaphora resolution according to a direct instruction model; a basal group, in which subjects were administered a series of lessons on word referents from a current basal reader program; and a control group, in which subjects received no added instruction on anaphora and simply participated in normal classroom language arts instruction. Several immediate and delayed posttests revealed that students in the strategy group consistently outperformed students in both the basal group and the control group in ability (a) to find the antecedent for the anaphoric term in short, contrived passages, (b) to find the antecedent for the anaphoric term in longer, more ecologically valid narrative and expository passages selected from basal readers, and (c) to answer anaphora-specific wh questions about narrative and expository selections in basal readers. These results were interpreted as further support for the efficacy of a direct instructional model for teaching children reading comprehension skills.
Fuzzy-Logic Reasoning for Estimating the Reliability of Noisy Data in Inverse Scattering Problems

Inverse scattering data, even though collected in a controlled environment, are usually corrupted by electromagnetic noise, which strongly affects the effectiveness of the reconstruction techniques because of the intrinsic ill-positioning of the problem. In order to limit the effects of the noise on the retrieval procedure and to fully exploit the limited information content available from the measurements, an innovative inversion scheme based on the integration of an adaptive multi-scale procedure and a fuzzy-logic-based decision strategy is proposed. The approach is based on an adaptive, coarse-to-fine successive representation of the unknown object obtained through a sequence of nonlinear reconstructions where suitable weighting coefficients are defined using fuzzy logic. Numerical examples from synthetic and experimental test cases are given to illustrate the advantages brought by the proposed approach in terms of reconstruction quality.
Optimizing utilization of resource pools in web application servers

Among the web application server resources, the most critical for their performance are those that are held exclusively by a service request for the duration of its execution (or some significant part of it). Such exclusively held server resources become performance bottleneck points, with failures to obtain such a resource constituting a major portion of request rejections under server overload conditions. In this paper, we propose a methodology that computes the optimal pool sizes for two such critical resources: web server threads and database connections. Our methodology uses information about incoming request flow and about fine‐grained server resource utilization by service requests of different types, obtained through offline and online request profiling. In our methodology, we advocate (and show its benefits) the use of a database connection pooling mechanism that caches database connections for the duration of a service request execution (so‐called request‐wide database connection caching). We evaluate our methodology by testing it on the TPC‐W web application. Our method is able to accurately compute the optimal number of server threads and database connections, and the value of sustainable request throughput computed by the method always lies within a 5% margin of the actual value determined experimentally. Copyright © 2010 John Wiley & Sons, Ltd.
Answering the Call to Reimagine Collaboration in Schools: A Systems View

When Jonathan Cohen asked me to be on a panel to speak about the relationship between schools and parents [see earlier essay in this issue of Schools], my first reaction was to say to him, “I don’t really know much about parents; I haven’t thought much about them,” and to suggest that he invite somebody else. As soon as I began to think more deeply about the topic, however, it suddenly hit me: the fact that I had been a socially and emotionally informed, psychoanalytically minded high school English teacher for thirteen years and actually could say that I had not thought much about parents is in fact the problem. I realized as well that my statement operated on at least two levels. On the surface, I meant that parents had not been the focus of my practice or my research. On an unconscious level, perhaps in my role as teacher, I did not think very much of parents. I would like to propose, however, that while administrators, teachers, and school-based mental health professionals actively run from parents, as Kerry Kelly Novick suggests [see the previous essay in this issue], or are passively hostile by just not “thinking much” about them, the fact is that educators are deeply aware of the vital importance of connecting with children’s families, and that this “not thinking” that I describe above is an active though unconscious flight from what we know—a flight that actually takes quite a bit of work. Peak or unusual moments often bring a keen awareness of what matters most that is absent in our daily lives. In this paper, I will describe two snapshots of peak moments in my teaching life that illustrate for me how deeply I did know the importance of connecting with parents. Then I will present some initial thoughts about what gets in the way of acting on what we know and what we resist knowing more of the time.
Praziquantel treatment of individuals exposed to Schistosoma haematobium enhances serological recognition of defined parasite antigens.

BACKGROUND Schistosomiasis is a major parasitic disease affecting >200 million people in the developing world, and 400 million people are at risk for infection. This study aimed to identify and compare proteins recognized by serum samples from schistosome-exposed individuals before and after curative praziquantel treatment. METHODS Proteins recognized by pooled serum samples from Schistosoma haematobium-exposed Zimbabweans were determined by 2-dimensional Western blotting and identified by mass spectrometry. RESULTS Serum samples recognized 71 spots, which resolved to 26 different characterized proteins. Eleven of these proteins have not previously been shown to be immunogenic in natural human infection or in experimental models of schistosomiasis, making them novel antigens in the parasite. Pretreatment serum samples recognized 59 spots, which resolved to 21 different identified proteins. Posttreatment serum samples recognized an additional 12 spots, which resolved to 8 different identified proteins. Of these 8 proteins, 3 had putative isoforms recognized before treatment, and 5 (calreticulin, tropomyosin 1, tropomyosin 2, paramyosin, and triose phosphate isomerase) did not. CONCLUSIONS This study is the most comprehensive characterization of S. haematobium antigens to date and describes novel antigens in all schistosome species. Posttreatment results are consistent with praziquantel treatment inducing quantitative and qualitative changes in schistosome-specific antibody responses.