Miracle-dz/UniFAR-FTUs huggingface dataset:
10 Things Employers Want You to Learn in College: The Know-how You Need to Succeed (review)

This book is targeted at high school and college students, as well as professionals in the career development field, who require in-depth and reliable information regarding what specific work-related skills students need to learn during their years as college students in order to gain successful employment after graduation. The book’s first ten chapters deal with work-related skills, based on current surveys from employers, which consistently name the top preferred skills new-hires need to be successful in their job searches and once they are hired. Individual chapters are devoted to each of the top ten skills employers want, along with related details entailed in each of those ten skill sets. The basic skills identified by employers are a) establishing a work ethic, b) developing physical skills, c) communicating verbally, d) communicating in writing, e) working directly with people, f ) influencing people, g) gathering information, h) using quantitative tools, i) asking and answering the right questions, and j) solving problems. The remaining nine chapters in the book cover tips on how to a) improve on these skill sets within a college environment, b) choose college courses wisely, c) develop apprenticeships in order to gain work world experience, d) develop into a well-rounded job candidate, and e) tips on choosing a graduate school, job search strategies, resumes, cover letters, and the all-intimidating process of interviewing. The author’s goal for the book was to “show [students] how to use [their] courses to build [their] skills” (p. 4) and “help [students] . identify and develop the skills necessary for a successful career” (p. 6). Colin quotes the United States Census Bureau to bring home his point on page one: “Over their work life, college graduates earn an average of $2.1 million dollars compared with $1.2 million dollars for high school graduates,” yet he goes on to point out that employment for college graduates continues to be a problem, with “60% of college graduates plan[ning] to live with their parents after graduation” (p. 4). Although there are other books addressing the issues of being a work-focused college student or succeeding in the workplace after graduation, Colin’s work seems to be the first book to combine these issues and provide concrete advice on how to gain and develop specific skills beginning in high school or as a college first-year student in order to have job offers at graduation and be successful in a first full-time professional position.
Dynamic thermal management using thin-film thermoelectric cooling

Multi-core architectures require Dynamic Thermal Management mechanisms (DTM) to handle (1) multiple hotspots and (2) global chip heating effect while finding the best trade-off between performance and thermal control. In that scenario Thin-Film Thermoelectric Cooling devices can be used to mitigate both effects since they provide on-die localized cooling with a dynamic and heterogeneous effect. This work proposes controlling TFTECs from the microarchitecture for an enhanced Dynamic Thermal Management in multi-core architectures. We show that by using our TFTEC-based proposals the performance is within 8% of that of a thermally-unconstrained processor.
Speculative Bubble Periods of Malaysian Stock Market-1997

Rational speculative bubble can be defined as transient upward movements of prices above intrinsic value. This study focused on rational speculative bubble period of Malaysian stock market during year 1997. The intrinsic value predicted by using the selected time interval is 1154.71 which shows that the market value is deviated about 10.12% from its fundamental value. This deviation is called as size of the speculative rational bubble that formed during financial crisis 1997. By using the predicted intrinsic value, we found that the rational speculative bubble start to form and grow in Malaysian stock market from 25/03/1996 to 28/03/1997. There are seven bubble phases found in the period of selected time interval. It is essential needs for researcher to study on financial bubbles. It is because the economic bubbles are one of the serious issue that give negative implications to the development of economy which is the factor leads to an economy crisis.
DNS-based architectures for an efficient management of mobile users in internet

Mobile IPv4 is the standard protocol for managing the user mobility in the Internet. This protocol provides transparent support of mobile hosts, allows system scalability and doesn’t require changes in the fixed portion of the network. Unfortunately, it introduces the so-called triangle routing which is not an optimal one. Simulative study have shown that triangle routing causes a throughput degradation for the applications that use TCP protocol. For this reason we propose a new architecture named DNS-based as it exploits the Domain Name System (DNS) extended with functionalities for updating the DNS on-line. The DNS-based architecture removes the inefficiencies of the triangle routing and keeps the nice properties of the Mobile IPv4 solution, i.e. transparency and scalability.
Neuropeptidergic Signaling Partitions Arousal Behaviors in Zebrafish

Animals modulate their arousal state to ensure that their sensory responsiveness and locomotor activity match environmental demands. Neuropeptides can regulate arousal, but studies of their roles in vertebrates have been constrained by the vast array of neuropeptides and their pleiotropic effects. To overcome these limitations, we systematically dissected the neuropeptidergic modulation of arousal in larval zebrafish. We quantified spontaneous locomotor activity and responsiveness to sensory stimuli after genetically induced expression of seven evolutionarily conserved neuropeptides, including adenylate cyclase activating polypeptide 1b (adcyap1b), cocaine-related and amphetamine-related transcript (cart), cholecystokinin (cck), calcitonin gene-related peptide (cgrp), galanin, hypocretin, and nociceptin. Our study reveals that arousal behaviors are dissociable: neuropeptide expression uncoupled spontaneous activity from sensory responsiveness, and uncovered modality-specific effects upon sensory responsiveness. Principal components analysis and phenotypic clustering revealed both shared and divergent features of neuropeptidergic functions: hypocretin and cgrp stimulated spontaneous locomotor activity, whereas galanin and nociceptin attenuated these behaviors. In contrast, cart and adcyap1b enhanced sensory responsiveness yet had minimal impacts on spontaneous activity, and cck expression induced the opposite effects. Furthermore, hypocretin and nociceptin induced modality-specific differences in responsiveness to changes in illumination. Our study provides the first systematic and high-throughput analysis of neuropeptidergic modulation of arousal, demonstrates that arousal can be partitioned into independent behavioral components, and reveals novel and conserved functions of neuropeptides in regulating arousal.
DMake : A Tool for Monitoring and Configuring Distributed Systems

Designers of long-running distributed systems must define management policies to address the various runtime disruptions that can arise in distributed settings. In many applications, notably ones requiring high-assurance guarantees, this management infrastructure must be flexible enough to represent non-trivial requirements and dependencies, and poised to quickly adapt if changes in the behavior of the system require an intervention. Our belief is that with the emergence of cloud computing and a very large scale “migration” of applications towards cloud hosting, a growing community of non-experts will find themselves developing such applications, and that software tools oriented towards this sort of cloud user will be required. Our paper describes DMake, a new system responding to this need. DMake is unusual in offering a very flexible range of management options through a familiar and widely popular model: that of the Unix make utility. DMake represents a significant generalization of Unix make, and its extended “makefile” format can express complex policies. The system has a rigorous semantics, including strong consistency and reliability properties that map to distributed consensus (state machine replication). We believe that DMake opens the door to much more sophisticated management policies by users with relatively little specialized training in distributed computing or system management.
Crowd computing: a literature review and definition

Crowd computing is a term that has been used only recently in the literature, and has been conceptualised in various ways as being related to crowdsourcing, human computation, social computing, cloud computing and mobile computing. This literature lacks a common definition of crowd computing, and emerging technologies with somewhat similar uses have added to the conceptual confusion. Whilst some authors have referenced work by other scholars and a few have attempted to provide a definition of crowd computing, it appears that the multiple streams of research and definitions have evolved somewhat independently, perhaps due to the relative newness of this area of research. This paper reconciles and integrates the various descriptions of crowd computing within the extant literature, in order to propose a definition of crowd computing which can be used to position the research already conducted on this subject, and can be used as a starting point for further research. Crowd computing has been described in various ways including distribution of human intelligence tasks to mobile devices, cloud computing with humans, human problem solving with large numbers of people using computers, and broadly as a set of human interaction tools for idea exchange and non-hierarchical decision making. From the literature four common characteristics can be identified to define the boundaries of the term, i.e.: participation by a crowd of humans, interaction with computing technology, activity that is predetermined by the initiator or application itself and the execution of tasks by the crowd utilising innate human capabilities.
A Connectivity-Driven Retransmission Scheme Based On Transport Layer Readdressing

Migration between different wireless access networks often involves disconnected period, which is caused by passing an area of bad wireless coverage and potential overhead to switch the network on the network interface to connect to. The disconnected period can cause extra transmission delay due to the timer-driven retransmission behavior in the transport protocols, such as TCP and SCTP. We propose a new retransmission scheme to achieve better migration performance in SCTP, which is a newer connection-oriented and reliable transport protocol that is becoming popular. Our scheme minimizes the extra transmission delay by leveraging address reconfiguration operation in SCTP without involving other layers. It decreases the delay more than 5 seconds compared to the original SCTP when migration involves approximately ten-second disconnected period. The implementation of our scheme is already imported in FreeBSD.
Implementation of power-delay product reduction techniques for ultra-low-power sub-threshold SCL circuits

In this paper, we have primarily focused on the implementation of techniques to reduce power-delay product of sub-threshold source coupled logic (STSCL) circuits. Here the comparisons have been drawn to derive the performance of STSCL, STSCL-SFB (sub-threshold source coupled logic circuits with source follower buffer at output stage) and STSCL-PUSHPULL (sub-threshold source coupled logic circuits with push-pull amplifier at output stage) circuits in terms of PDP. The power dissipation has been kept same and the delay has been compared for all the circuits. Further, the analytical results measured in 180-nm CMOS technology showed an improvement of delay by a factor of 3 times. All the circuits have been designed in Cadence VIRTUOSO environment for simulation purpose.
Food Quality in Producer‐Grazer Models: A Generalized Analysis

Stoichiometric constraints play a role in the dynamics of natural populations but are not explicitly considered in most mathematical models. Recent theoretical works suggest that these constraints can have a significant impact and should not be neglected. However, it is not yet resolved how stoichiometry should be integrated in population dynamical models, as different modeling approaches are found to yield qualitatively different results. Here we investigate a unifying framework that reveals the differences and commonalities between previously proposed models for producer‐grazer systems. Our analysis reveals that stoichiometric constraints affect the dynamics mainly by increasing the intraspecific competition between producers and by introducing a variable biomass conversion efficiency. The intraspecific competition has a strongly stabilizing effect on the system, whereas the variable conversion efficiency resulting from a variable food quality is the main determinant for the nature of the instability once destabilization occurs. Only if the food quality is high can an oscillatory instability, as in the classical paradox of enrichment, occur. While the generalized model reveals that the generic insights remain valid in a large class of models, we show that other details such as the specific sequence of bifurcations encountered in enrichment scenarios can depend sensitively on assumptions made in modeling stoichiometric constraints.
Study for vehicle recognition and classification based on Gabor wavelets transform & HMM

Vehicle recognition and classification is an important part of intelligent transportation system. Now, the technology of vehicle recognition has becoming a hot topic all over the world. A vehicle recognition algorithm based on Gabor wavelets transform and hidden Markov model (HMM) is proposed. A Gabor filters are applied on the vehicle images to construct a group of vectors called nodes, and then feature nodes are derived by using principal component analysis, which decrease the dimension of each node. The image including feature nodes is called Gabor-Vehicle. A set of images representing different instances of the same vehicle are used to train each HMM, and each individual in the database is represented by an optional HMM vehicle model. Experimental results show that the proposed algorithm has a high recognition rate with relatively low complexity.
JolokiaC++: An Annotation Based Compiler Framework for GPGPUs

We present JolokiaC++, an annotation based compiler framework which generates high quality CUDA (Compute Unified Device Architecture) code for GPUs. Our contributions include: (1) developing explicit and implicit annotations with illustrations of their use in C++, (2) showing the utility of these annotations by providing comparison code snippets, which demonstrates the ease of programming and performance gains, (3) evaluating their effectiveness on kernels like Blacks holes, Matrix-Vector multiplication, Matrix-Matrix multiplication, Jacobi 1D & 2D, Heat 2D, Vector Addition and Convolution.
The tgl gene: social motility and stimulation in Myxococcus xanthus

Mutations in the tgl locus inactivate social gliding motility in Myxococcus xanthus and block production of pili. The tgl locus is distinctive among the genes for social motility because social gliding and pili can be restored transiently to tgl mutant cells by mixing them with tgl+ cells, a process known as stimulation. The tgl locus was cloned with a linked insertion of transposon Tn5 by using the kanamycin resistance encoded by that transposon. A 16-kb segment of chromosomal DNA complemented the social motility defect when introduced into tgl mutant cells to form a tandem duplication tgl+/tgl heterozygote. To delimit the autonomous tgl transcription unit, subfragments of this 16-kb piece were integrated at the ectopic Mx8 prophage attachment site. A 1.7-kb DNA fragment was identified which, when integrated at the Mx8 site, simultaneously rescued social motility and pilus production. The ability to stimulate tgl mutants was also rescued by the 1.7-kb fragment. Because rescue of stimulation from an mgl-deficient donor strain which cannot swarm was observed, this demonstrates that a stimulation donor requires a tgl+ allele but does not require the capacity to swarm actively. The nucleotide sequence of the 1.7-kb fragment revealed two protein coding regions, open reading frame A and open reading frame B (ORFB). ORFB is the tgl gene, because a 613-bp DNA fragment which includes 75% of ORFB rescues tgl-1, -2, and -3 mutants and because disruption of ORFB by deletion or insertion of transposon Tn5lac constitutes a tgl mutation.
Visualisation for functional design

We present two novel visualisation tools: the Influence Explorer and the Prosection Matrix. These were specifically created to support engineering artifact design and similar tasks in which a set of parameter values must be chosen to lead to acceptable artifact performance. These tools combine two concepts. One is the interactive and virtually immediate responsive display of data in a manner conducive to the acquisition of insight. The other, involving the precalculation of samples of artifact performance, facilitates smooth exploration and optimisation leading to a design decision. The anticipated benefits of these visualisation tools are illustrated by an example taken from electronic circuit design, in which full account must be taken of the uncertainties in parameter values arising from inevitable variations in the manufacturing process.
The Hidden Wealth of Nations

We are well aware of the rise of the 1% as the rapid growth of economic inequality has put the majority of the world’s wealth in the pockets of fewer and fewer. One much-discussed solution to this imbalance is to significantly increase the rate at which we tax the wealthy. But with an enormous amount of the world’s wealth hidden in tax havens—in countries like Switzerland, Luxembourg, and the Cayman Islands—this wealth cannot be fully accounted for and taxed fairly. No one, from economists to bankers to politicians, has been able to quantify exactly how much of the world’s assets are currently hidden—until now. Gabriel Zucman is the first economist to offer reliable insight into the actual extent of the world’s money held in tax havens. And it’s staggering. In The Hidden Wealth of Nations , Zucman offers an inventive and sophisticated approach to quantifying how big the problem is, how tax havens work and are organized, and how we can begin to approach a solution. His research reveals that tax havens are a quickly growing danger to the world economy. In the past five years, the amount of wealth in tax havens has increased over 25%—there has never been as much money held offshore as there is today. This hidden wealth accounts for at least $7.6 trillion, equivalent to 8% of the global financial assets of households. Fighting the notion that any attempts to vanquish tax havens are futile, since some countries will always offer more advantageous tax rates than others, as well the counter-argument that since the financial crisis tax havens have disappeared, Zucman shows how both sides are actually very wrong. In The Hidden Wealth of Nations he offers an ambitious agenda for reform, focused on ways in which countries can change the incentives of tax havens. Only by first understanding the enormity of the secret wealth can we begin to estimate the kind of actions that would force tax havens to give up their practices. Zucman’s work has quickly become the gold standard for quantifying the amount of the world’s assets held in havens. In this concise book, he lays out in approachable language how the international banking system works and the dangerous extent to which the large-scale evasion of taxes is undermining the global market as a whole. If we are to find a way to solve the problem of increasing inequality, The Hidden Wealth of Nations is essential reading.
The Use of Strategic Metaphors in Intercultural Business Communication

This paper contends that the use of strategic metaphors can help deliver the effective intercultural business communication necessary for global success. Using the Renault-Nissan Alliance as an example, the authors argue that an appropriate metaphor can help provide the global glue which captures the essence of the organisation’s activities, encapsulates its strategic intent, incorporates the national and global cultures, and portrays its ethical and business stance. Indeed, as is the case in the Renault-Nissan Alliance, the appropriate use of metaphor allowed the firm to bind a diverse group of stakeholders to a common goal by using the inherent ambiguity and multiplicity of meaning of the metaphor to overcome Asian and Western intercultural differences and at the same time maximise goal congruence.
Study on Parameter Distribution in Structure Reliability Analysis: Machine Learning Algorithm and Application

The discrimination of parameter probability distribution type is the key to structure reliability analysis. A support vector machine (SVM) intelligent recognition model of probability distribution law is presented aiming at traditional method disadvantage. The intelligent recognition model of probability distribution is constructed by SVM algorithm realization, network design and feature extraction, inward stress probability distribution type of a stem structural member is recognized by the model, recognition result is Weibull distribution, SVM has a good generalization ability and clustering ability by comparison between network recognition result and regression analysis, the experiment result shows total recognition rate achieved 98.25%, it provides a good new method for structure reliability analysis.
Knowledge, Attitudes and Practices Regarding Cervical Cancer and Screening among Haitian Health Care Workers

It is estimated that Haiti has the highest incidence of cervical cancer in the Western Hemisphere. There are currently no sustainable and affordable cervical cancer screening programs in Haiti. The current status of screening services and knowledge of health care professionals was assessed through a Knowledge, Attitudes, and Practices survey on cervical cancer screening and prevention. It was distributed to Project Medishare for Haiti health care workers (n = 27) in the Central Plateau. The majority (22/27) of participants stated pre-cancerous cells could be detected through screening, however, only four had ever performed a pap smear. All of the participants felt a screening program should be started in their area. Our data establishes that knowledge is fairly lacking among healthcare workers and there is an opportunity to train them in simple, cost effective “screen-and-treat” programs that could have a great impact on the overall health of the population.