Miracle-dz/UniFAR-FTUs huggingface dataset:
A simple and efficient method for direct gene deletion in Saccharomyces cerevisiae.

The systematic sequencing of the yeast S.cerevisiae genome has revealed a profusion of Open Reading Frames (ORFs). Although some of them have been previously studied, a large majority represents new genes (1, 2). Deletion of these ORFs is a convenient tool for their functional analysis, Here we describe a new approach for generating null alleles of a gene. Usually, a gene inactivation requires the in vitro creation of a construction in which a selectable marker is sandwiched by the 5' and the 3' flanking sequences of the target ORF. Classically, this strategy requires several cloning steps. In contrast, our approach generates such a construction by one step PCR amplification. Each oligodeoxynucleotide used contains two distinct regions, one which allows homologous recombination at the target locus and will be named the deleting sequence, the second part which permits the PCR amplification of a selectable marker. The deleting sequences, which are respectively the 5' (oligopro) and 3' (oligoterm) flanking sequences of the ORF, range from 35 to 51 nucleotides in length and are followed by a short stretch of 17 nucleotides homologous to the HI S3 selectable marker. Table 1 shows the composition of the deleting sequences, the sequence used for HIS3 amplification always being the same (5'-TCGTTCAGAATGACACG-3' for oligoterm and 5'-CTCTTGGCCTCCTCTAG-3' for oligopro. Following the PCR amplification, the crude mix was directly used to transform yeast by standard procedures (3). In a first set of experiments, we used W3O3-1B (MATa, ura3-l, trpl-1, ade2-l, leu2-3, 112, his3-ll, 15) as recipient strain. All the His transformants tested (a total of 30) presented the same pattern when analysed by Southern blot, corresponding to the insertion of the wild-type HIS3 gene at its own locus (data not shown). We thus used a recipient strain carrying a complete deletion of the HIS3 gene. With the diploid strain BMA 1 (a diploid from cross FY 1679-18B and FY 1679-28C, kindly provided by B.Dujon) containing the His3A200 allele (4), we routinely obtained more than 10 His transformants per plate. As the procedure appeared to be efficient enough, we tested by
Manipulator performance constraints in Cartesian admittance control for human-robot cooperation

This paper addresses the problem of providing feedback to the operator about the manipulator's performance during human-robot physical interaction. A method is proposed that implements virtual constraints in Cartesian admittance control in order to prevent the operator from guiding the manipulator to low-performance configurations. The constraints are forces expressed in the Cartesian frame, which restrict the translation of the end-effector when the operator guides the robot below a certain performance threshold. These forces are calculated online by numerically approximating the gradient of the performance index with respect to the Cartesian frame attached to the end-effector. An experimental evaluation is conducted involving human-robot interaction with a 7-DOF LWR serial manipulator under Cartesian admittance control, using the kinematic manipulability index of the manipulator as the performance measure for singularity avoidance.
Haemolytic-Uraemic Syndrome as a Sequela of Diarrhoeal Disease

Haemolytic-uraemic syndrome (HUS) is a serious sequela of diarrhoea and results in a high mortality rate. This systematic review aimed at estimating the proportion of HUS cases that are linked to prior infection due to Shiga toxin-producing Escherichia coli (STEC) or Shigella dysenteriae type 1. A systematic review of the existing literature was done to identify cohort and case-control studies that examined the relationship between STEC and S. dysenteriae type 1 and HUS. After screening 2,516 articles, 11 studies were found that met the inclusion/exclusion criteria. Findings of case-control studies suggest that 60.8% of the HUS cases may be attributable to a previous infection with STEC. In cohort studies, 7.8% of participants with STEC and 8% of participants with S. dysenteriae type 1 developed HUS during follow-up. HUS is linked to diarrhoea due to both STEC and S. dysenteriae type 1. Thus, preventing infections caused by both pathogens is critical for the prevention and control of HUS, especially in areas where timely and effective treatment is not available.
What Drives Mobile Office Service? A Revised Technology Acceptance Model Based on the Characteristics of Wireless Mobile Office Technology

Many scholars conduct comprehensive researches on the mobile commerce acceptance in the perspective of users after it comes into being. It is meaningful to understand the acceptance of users in terms of mobile technology itself when it is immature. This paper concludes four characteristics of Wireless mobile office and proposes an extended technology acceptance model which incorporates trust in the perspective of technology maturity. It proves that trust plays an important role in mobile office service. And also this paper introduces what technology factors determines mobile office service acceptance of companies, which provides evidence to develop new technology for mobile technology suppliers. Meanwhile, it provides a new perspective for mobile office service users to make useful strategies and maintain their competitiveness and market share.
Ras Signaling Mechanisms Underlying Impaired GluR1-Dependent Plasticity Associated with Fragile X Syndrome

Fragile X syndrome, caused by the loss of FMR1 gene function and loss of fragile X mental retardation protein (FMRP), is the most commonly inherited form of mental retardation. The syndrome is characterized by associative learning deficits, reduced risk of cancer, dendritic spine dysmorphogenesis, and facial dysmorphism. However, the molecular mechanism that links loss of function of FMR1 to the learning disability remains unclear. Here, we report an examination of small GTPase Ras signaling and synaptic AMPA receptor (AMPA-R) trafficking in cultured slices and intact brains of wild-type and FMR1 knock-out mice. In FMR1 knock-out mice, synaptic delivery of GluR1-, but not GluR2L- and GluR4-containing AMPA-Rs is impaired, resulting in a selective loss of GluR1-dependent long-term synaptic potentiation (LTP). Although Ras activity is upregulated, its downstream MEK (extracellular signal-regulated kinase kinase)–ERK (extracellular signal-regulated kinase) signaling appears normal, and phosphoinositide 3-kinase (PI3K)–protein kinase B (PKB; or Akt) signaling is compromised in FMR1 knock-out mice. Enhancing Ras–PI3K–PKB signaling restores synaptic delivery of GluR1-containing AMPA-Rs and normal LTP in FMR1 knock-out mice. These results suggest aberrant Ras signaling as a novel mechanism for fragile X syndrome and indicate manipulating Ras–PI3K–PKB signaling to be a potentially effective approach for treating patients with fragile X syndrome.
Unmet Demand for Walkable Transit-Oriented Neighborhoods in a Midsized Canadian Community: Market and Planning Implications

Understanding neighborhood preferences remains a key focus for planners. While many studies document the effects of either neighborhood design or neighborhood preference on health and travel behavior, few have explored their combined effect in smaller regions. Using a sample of 2,597 adults in the Region of Waterloo, Ontario, we found an unmet demand for walkable neighborhoods. Results suggest that walkable neighborhoods are independently associated with less vehicle travel after adjusting for sociodemographic and residential preferences. Our study highlights the importance of combining the effects of walkable neighborhoods and preferences for them when addressing health and sustainability goals in suburban communities.
Research on personalized recommendation system for e-commerce based on web log mining and user browsing behaviors

Web server log files and customers transaction data can be mined meaningful user access patterns to anticipate potential customers so as to enable personalized information services and targeted e-commerce activities. The paper bases on Clustering technology of Web Mining to provide a personalized solution to implement an e-commerce recommendation system. The paper introduces the UserID-URL associated matrix according to log information, We calculate UserID-URL associated matrix and Distance matrix to cluster users into user groups. Clustering algorithm is simple and easy to achieve due to improve the nature of algorithm, no such the candidate set of Apriori algorithm in association rules. The system can recommend the goods which other users of this cluster browse to the user and achieve the objective of personalized goods recommendation.
THE EFFECTS OF JOB CHARACTERISTICS ON WORK ENGAGEMENT

Work engagement is one of the most important things in achieving company goals because the company's main driving factor is employees. Work engagement refers to the energy that employees have to be directed to organizational goals (Macey, et al., 2009, in Bakker, 2011). Employees who have a high level of engagement will exert more effort in achieving company goals (Sidharta & Meily, 2012). One of the factors in achieving employee work engagement is job characteristics (Saks, 2006). Job characteristics in this study use Hackman & Oldham (1974) theory. There are five dimensions in job characteristics (autonomy, feedback, skill variety, task identity and task significance) (Hackman & Oldham, 1974). This research was conducted to find out whether there is an influence of job characteristics on work engagement. This research was conducted at a port service company located in Surabaya. The samples in this study were 119 employees. The sampling technique used is simple random sampling. The data collection tool in this study is a questionnaire, the Utrecht Work Engagement Scale (UWES) (Schaufeli & Bakker, 2004) and the scale of the Job Diagnostic Survey (Hackman & Oldham, 1974). Analysis of the data used is partial least square using the SmartPLS 3.0 program. Based on the results of the study it was found that the five dimensions of job characteristics (autonomy, feedback, skill variety, task identity, and task significance) had a positive and significant relationship to work engagement.
Rapid Hypothesis Testing with Candida albicans through Gene Disruption with Short Homology Regions

ABSTRACT Disruption of newly identified genes in the pathogen Candida albicans is a vital step in determination of gene function. Several gene disruption methods described previously employ long regions of homology flanking a selectable marker. Here, we describe disruption of C. albicans genes with PCR products that have 50 to 60 bp of homology to a genomic sequence on each end of a selectable marker. We used the method to disrupt two known genes,ARG5 and ADE2, and two sequences newly identified through the Candida genome project,HRM101 and ENX3. HRM101 and ENX3are homologous to genes in the conserved RIM101 (previously called RIM1) and PacC pathways ofSaccharomyces cerevisiae and Aspergillus nidulans. We show that three independenthrm101/hrm101 mutants and two independentenx3/enx3 mutants are defective in filamentation on Spider medium. These observations argue that HRM101 andENX3 sequences are indeed portions of genes and that the respective gene products have related functions.
A Robust Dimensionality Reduction Method from Laplacian Orientations

Most dimensionality reduction methods are usually based on dissimilarity measurement of pixel intensities which can not obtain a more robust dissimilarity measurement. To address this problem, in this paper, we propose a novel robust dimensionality reduction method from Laplacian orientations. This method does not directly manipulate pixel intensity, which introduces Laplacian orientations, combined with the kernel method, and ultimately robust dimensionality reduction. The use of the Laplacian orientations results in a more robust dissimilarity measurement between images. Our method is as simple as standard intensity-based learning, yet much more powerful for efficient dimensionality reduction method. Our experiments show that the proposed method for different expressions, different illumination conditions and different occlusions under different illumination conditions has better robustness, and achieves a higher recognition rate. For a single sample per person, the proposed algorithm can also obtain a higher recognition rate.
Deriving Consistency-preserving Transaction Specifications for (View-)Updates in Relational Databases

We propose a new method for generating transaction specifications for (view-)updates in relational databases that are guaranteed to preserve integrity constraints. The method augments the relational database with a set of transition and events rules, which explicitly define the insertions and deletions induced by a database update. At database design time, an extension of the SLDNF procedure can use these rules as input clauses to produce transaction specifications for compile-time base or view updates. This is done in such a way that the database will never be taken into an inconsistent state, if run-time updates are only effected through the instantiation of the previously obtained transaction specifications. The method draws from previous work of our group in the more general setting of deductive databases, particularly in view updating and integrity constraint checking.
Leaving room for improvisation: towards a design approach for open-ended play

Open-ended play with interactive objects provides children with the freedom to construct their own rules, goals and meaning. Instead of games with strict rules, open-ended play designs offer interaction opportunities as a trigger for creating personalized games. The process of developing these designs differs from designs with predefined use. This paper presents the further development of a design approach on how to design for open-ended play. We give an overview of related work and analyze eight existing open-ended play designs. Next, interviews with design students are discussed that illustrate the process of developing open-ended play designs. As a conclusion, we describe our design approach for open-ended play, including an improved definition of open-ended play, an overview of which design parameters have to be considered and advice for tailoring a design process to consider these parameters.
Remote sensing imagery in vegetation mapping: a review

Aims Mapping vegetation through remotely sensed images involves various considerations, processes and techniques. Increasing availability of remotely sensed images due to the rapid advancement of remote sensing technology expands the horizon of our choices of imagery sources. Various sources of imagery are known for their differences in spectral, spatial, radioactive and temporal characteristics and thus are suitable for different purposes of vegetation mapping. Generally, it needs to develop a vegetation classification at first for classifying and mapping vegetation cover from remote sensed images either at a community level or species level. Then, correlations of the vegetation types (communities or species) within this classification system with discernible spectral characteristics of remote sensed imagery have to be identified. These spectral classes of the imagery are finally translated into the vegetation types in the image interpretation process, which is also called image processing. This paper presents an overview of how to use remote sensing imagery to classify and map vegetation cover. Methods Specifically, this paper focuses on the comparisons of popular remote sensing sensors, commonly adopted image processing methods and prevailing classification accuracy assessments. Important findings The basic concepts, available imagery sources and classification techniques of remote sensing imagery related to vegetation mapping were introduced, analyzed and compared. The advantages and limitations of using remote sensing imagery for vegetation cover mapping were provided to iterate the importance of thorough understanding of the related concepts and careful design of the technical procedures, which can be utilized to study vegetation cover from remote sensed images.
Relevance of Toxicity Assessment in Wastewater Treatments: Case Study—Four Fenton Processes Applied to the Mineralization of C.I. Acid Red 14

Fenton and Fenton-like processes, both in homogeneous and heterogeneous phases, have been applied to an aqueous solution containing the dye AR 14 in order to study the mineralization and toxicity of the solutions generated after color elimination. The mineralization of AR 14 occurred slower than the decolorization. The Microtox analysis of the treated solutions showed low toxicity intrinsic to the chemicals used in the process rather than the degradation products obtained after the treatment of the dye solution. The dye degradation for the Fenton oxidation process was initially faster than for the Fenton-like process but after a short time, the four processes showed similar degradation yields. All processes have shown good results being the heterogeneous process the most convenient since the pH adjustment is not necessary, the catalyst is recovered and reused and the generation of contaminated sludge is avoided.
Restructuring practices in Russian provincial companies and their impact on the east gas programme

Using data for the period 1991 - 2004, this study investigates the strategic priorities of senior management in provincial Russia. The study is based on interviews with top management in twenty former state owned provincial companies and a number of external respondents. It analyses managerial decision making patterns during the transition and post-transition periods. A strong tendency for Russian provincial managers to pursue operational restructuring with a very little attention to strategic planning was identified. We also argue that managerial attitude toward strategic decision making appears to be a key success factor of large national projects of strategic importance. As there was a lack of prior studies in this geographical area and a general bias towards areas with a high economic activity index, this study employed a phenomenological approach to study strategic managerial priorities and presents qualitative data which enriches understanding of enterprise transformation in the Russian province. Data gathered during the study demonstrate how managerial priorities relate to the Russian companies’ transformational patterns. The study identified a number of pivotal areas which were prioritised by Russian directors as crisis-management strategies. The study suggests that the primary objectives of the top managers in provincial Russia are based around preserving production level, employees, status quo, and personal benefits. The data suggest that in the given underdeveloped institutional environment managers often use corporate objectives for their own benefit. This paper also suggests that an authoritarian model of enterprise management and autarky can be an effective mechanism to combat serious problems of transitional instability.
Evaluating and investigating an iTV interaction concept in the field

This work presents results from an evaluation in the field using a prototype iTV system. Besides standard iTV services (e.g. EPG), this iTV system offers a number of privacy and personalization functions combined with a fingerprint reader in the remote control. The goal was to research how the iTV system would perform in terms of user experience and usability in the field and how users perceive security and personalization functions in the original context of use. Main findings the study showed unexpected perceptions concerning privacy and security issues by users in the field and confirmed good results on usability and user experience gained in prior laboratory studies.
A novel method for torque ripple reduction in 6/4 two rotor stack switched reluctance motor

In this paper, a new configuration for a three phase Switched Reluctance (SR) Machine is introduced. The proposed machine consists of two magnetically independent stator and rotor layers, where each stator layer includes six salient poles with windings wrapped around them, while the rotor comprises of four salient poles with different arc lengths and no windings. There is a stationary reel, which has the field coils wrapped around it and is placed between the two-stator sets. The distinctive point of this proposed machine is its ability to work in motor and generator modes, which leads to hybrid operation. The mathematical model is carried out to obtain the characteristics of this motor. The torque ripple reduction is done as well by shifting the rotor in one of sets. In a proposed method the rotor angle shifting is used to increase overlap between rotor and stator poles. Subsequently, machine operation as switched reluctance motor is simulated by Finite Element Method (FEM).
A Sharp Double Inequality for the Inverse Tangent Function

The inverse tangent function can be bounded by different inequalities, for example by Shafer's inequality. In this publication, we propose a new sharp double inequality, consisting of a lower and an upper bound, for the inverse tangent function. In particular, we sharpen Shafer's inequality and calculate the best corresponding constants. The maximum relative errors of the obtained bounds are approximately smaller than 0.27% and 0.23% for the lower and upper bound, respectively. Furthermore, we determine an upper bound on the relative errors of the proposed bounds in order to describe their tightness analytically. Moreover, some important properties of the obtained bounds are discussed in order to describe their behavior and achieved accuracy.
Autonomic Resource Allocation for Cloud Data Centers: A Peer to Peer Approach

We address the problem of resource management for large scale cloud data centers. We propose a Peer to Peer (P2P) resource management framework, comprised of a number of agents, overlayed as a scale-free network. The structural properties of the overlay, along with dividing the management responsibilities among the agents enables the management framework to be scalable in terms of both the number of physical servers and incoming Virtual Machine (VM) requests, while it is computationally feasible. While our framework is intended for use in different cloud management functionalities, e.g. Admission control or fault tolerance, we focus on the problem of resource allocation in clouds. We evaluate our approach by simulating a data center with 2500 servers, striving to allocate resources to 20000 incoming VM placement requests. The simulation results indicate that by maintaining an efficient request propagation, we can achieve promising levels of performance and scalability when dealing with large number of servers and placement requests.
IGES Model Comparison System: A Tool for Tsting and Validating IGES Processors

The IGES Model Comparison System (IMCOS) is the first test tool to allow an easy and automatic semantic comparison of CAD models represented in IGES format. By systematically analyzing and comparing entity data and structures of generated and exchanged IGES models, it detects loss of information and functionality resulting from model exchange via IGES processors. IMCOS was designed and implemented as a tabledriven IGES processor to allow external control of the comparison process and full coverage of the current version of IGES (Version 3.0) and future versions. This article presents the basic concepts of IMCOS. The great interest in and discussion of IMCOS have shown the importance of such a test tool. IMCOS may be used as one of several test tools within an overall IGES verification program.