Miracle-dz/UniFAR-FTUs huggingface dataset:
Variants Of Resource Allocation Problem

Consider the problem of allocating resources such as machines, memory or bandwidth to meet the demands of a given set of jobs. Resource allocation should be done in such a manner that the available resources are assigned to the given jobs in an economic way. The Resource allocation (RESALL) problem is motivated by its applications in many real-life scenarios such as interval scheduling, workforce management. This is an NP-hard problem. The input consists of a set of resources and a demand profile (corresponding to the set of jobs). Each resource has a capacity, a cost, a start time and a finish time. The cost of solution is the sum of the costs of the resources included in the solution. The goal is to find a minimum cost feasible solution such that multiple units of resources can be included in the solution and at any timeslot, the sum of capacities of these resources should be at least the demand requirement at that timeslot. This problem definition corresponds to the MULTIRESALL version of RESALL problem
Two transcriptional regulators GlnR and GlnRII are involved in regulation of nitrogen metabolism in Streptomyces coelicolor A3(2)

Streptomyces coelicolor has an unusually large arsenal of glutamine synthetase (GS) enzymes: a prokaryotic GSI‐β‐subtype enzyme (encoded by glnA ), three annotated glnA ‐like genes of the GSI‐α‐subtype and a eukaryote‐like glutamine synthetase II (encoded by glnII ). Under all tested conditions, GSI was found to represent the dominant glutamine synthetase activity. A significant heat‐labile GSII activity, which is very low to undetectable in liquid‐grown cultures, was only detected in morphologically differentiating S. coelicolor cultures. Analysis of glnA and glnII transcription by S1 nuclease mapping and egfp fusions revealed that, on nitrogen‐limiting solid medium, glnII but not glnA expression is upregulated. An OmpR‐like regulator protein, GlnR, has previously been implicated in transcriptional control of glnA expression. Gel retardation analysis revealed that GlnR is a DNA‐binding protein, which interacts with the glnA promoter. It is not autoregulatory and does not bind to the upstream regions of the glnA ‐like genes of the α‐subfamily, nor to the glnII promoter in vitro . A second GlnR target was identified upstream of the amtB gene, encoding a putative ammonium transporter. amtB forms an operon with glnK (encoding a PII protein) and glnD (encoding a putative PII nucleotidylyltransferase) shown by S1 nuclease protection analysis and reverse transcription‐polymerase chain reaction (RT‐PCR). An amtB and glnA promoter alignment revealed a putative GlnR operator structure. Downstream of glnII , a gene encoding for another OmpR‐like regulator, GlnRII, was identified, with strong similarity to GlnR. Gel shifts with GlnRII showed that the promoters recognized by GlnR are also targets of GlnRII. However, GlnRII also interacted with the glnII upstream region. Only inactivation of glnR resulted in a glutamine auxotrophic phenotype, whereas the glnRII mutant can grow on minimal medium without glutamine.
Factors affecting information systems’ success

States that there is continuing difficulty in achieving success with information systems, particularly in the sense of meeting users’ expectations and offers a fresh examination of those attributes of information systems by which users perceive success and failure, and through which they establish their expectations. Reviews existing research literature and suggests that, in addition to the process and product viewpoint, an important factor in achieving success is the service management perspective. Applies repertory grid techniques to uncover a total of 43 constructs which relate to users’ perceptions of success with information systems in business. Reduces these to 21 attributes which provide the basis of a new assessment and measurement framework, incorporating and augmenting the attributes found in previous work in this area. Illustrates the practical use of these attributes using two case studies: an information service provider and a hospital equipment supplier.
Effects of exercise prior or during pregnancy in high fat diet fed mice alter bone gene expression of female offspring: An experimental study

Background: Based on different studies it was shown that exercise training is an important factor in preconception and prenatal care. Objective: The aim of this study was to determine whether regular preconception exercise training with or without exercise training during pregnancy decreases detrimental effects of maternal high fat diet on female offspring bone health. Materials and Methods: Twenty-four C57BL/6 female mice were fed high-fat diet (35%) and were randomly divided into four groups: trained in preconception period and exercised during pregnancy (TE); trained in preconception periods but unexercised during pregnancy (TC); untrained in preconception periods but exercised during pregnancy (CE); untrained and unexercised (CC). Trained mice were subjected to a protocol of moderate endurance exercise training over a period of 4 weeks before pregnancy. TE and CE Dams groups had access to wheels throughout pregnancy until delivery. Analyses were performed on the female offspring that did not have access to running wheels or exercise training during any portion of their lives. The relative expression levels of β-catenin, Peroxisome proliferator-activated receptor ƴ (PPARƴ), osteoprotegerin (OPG), and Receptor activator of nuclear factor NF-kB ligand (RANKL) were determined by Quantitative RT-PCR (qPCR). Results: Exercise during pregnancy in isolation had no effect on any measure genes but exercise both before and during pregnancy affected all genes. Exercise only before pregnancy increased β-catenin and OPG and decreased PPARƴ, RANKL, and RANKL/OPG ratio (p<0.001). Conclusion: This study demonstrated that maternal exercise training before and during pregnancy may modulate the risk of bone disorders in offspring of mothers fed a high-fat diet.
Small signal dynamic DQ model of Modular Multilevel Converter for system studies

Summary form only given: This article presents three dynamic linear state space models of Modular Multilevel Converter (MMC) which are suitable for small-signal dynamic studies and controller design. The three models differ by the number of states (two, six and ten) and therefore are suitable for different applications based on the required accuracy. The 2nd and 6th order models ignore dynamics of the second harmonics and circulating current suppression control. The main challenges of dynamic analytical modelling of MMC are the non-linear multiplication terms in equations for modulating oscillating signals. The multiplication non-linear terms is therefore considered directly in the rotating DQ frame. This requires simultaneous modeling in zero sequence, fundamental frequency DQ and double fundamental frequency DQ2 frames. The proposed linear analytical models are implemented in state-space in MATLAB. The validity and accuracy of the models are verified against detailed 401 level MMC model in PSCAD/EMTDC in both: time and frequency domains. The results show very good accuracy for the 10th order model and decreasing accuracy for the lower order models.
Parallelized Global Brain Tractography

Most brain tractography algorithms suffer from lower accuracy, because they use only information in a certain neighborhood and reconstruct the tracts independently. Global brain tractography algorithms compensate the lack of accuracy of those local algorithms in certain areas by optimizing the whole tractogram. The global tractography approach by Reisert et al. showed the best results in the Fiber Cup contest, but the runtime is still a matter for a medical application. In this paper we present the non-trivial parallelization of this global tractography algorithm. The parallelization exploits properties of the algorithm and modiﬁes the algorithm where necessary. We compare the runtimes of the serial and the parallel variant and show that the outcomes of the parallel variant are of the same quality as those of the serial algorithm. The experiments proof also that the parallelization scales well for real world datasets.
Parental Burden, Coping, and Family Functioning in Primary Caregivers of Children With Joubert Syndrome

Children with Joubert syndrome have physical and intellectual disabilities. The purpose of this study was to assess the impact of Joubert syndrome on parental burden, coping, and family functioning. Forty-nine primary caregivers were surveyed. Forty-three primary caregivers were mothers and six were fathers; their mean age was 34 years. The following measures were used: Beck Depression Inventory, Child Development Inventory, Caregiver Strain Index, Family Assessment Device, and Ways of Coping Checklist-Revised. The data show that caregiver burden is not related to the severity of the child's illness, but that caregivers report significant burden. Higher burden was associated with the use of palliative coping methods, and family functioning was problematic. The results of this study suggest that for parents of children with Joubert syndrome, degree of parental burden depends more on the parents' coping skills and the level of family functioning rather than on the degree of the child's impairment. These findings highlight the importance of assessing caregiver burden, as well as decreased family functioning or coping abilities, since these problems often can be managed with psychologic intervention. (J Child Neurol 1999;14:642-648).
Antioxidant activity and cytotoxic profile of Chuquiraga spinosa Lessing on human tumor cell lines: A promissory plant from Peruvian flora

Oscar Herrera-Calderon, Johnny Aldo Tinco-Jayo, Cesar Franco-Quino, Víctor ChumpitazCerrate, Wendy Castro-Pari, Bertha Pari-Olarte, Patricia Castillo-Romero, Jorge Luis Arroyo-Acevedo Academic Department of Pharmaceutical Sciences, Faculty of Pharmacy and Biochemistry, Universidad Nacional San Luis Gonzaga de Ica, Ica, Peru Academic Department of Human Medicine, School of Pharmacy and Biochemistry, Universidad Nacional San Cristóbal de Huamanga, Ayacucho, Peru Department of Basic Sciences, Faculty of Odontology, National University of San Marcos, Lima, Peru Faculty of Human Medicine, Universidad Nacional San Luis Gonzaga de Ica, Ica, Peru Laboratory of Pharmacology, Faculty of Medicine, National University of San Marcos, Lima, Peru Asian Pac J Trop Dis 2017; 7(5): 304-308
Purification and Characterization of Acid Trehalase from the Yeast suc 2 Mutant

Acid trehalase was purified from the yeast suc2 deletion mutant. After hydrophobic interaction chromatography, the enzyme could be purified to a single band or peak by a further step of either polyacrylamide gel electrophoresis, gel filtration, or isoelectric focusing. An apparent molecular mass of 218,000 Da was calculated from gel filtration. Polyacrylamide gel electrophoresis of the purified enzyme in the presence of sodium dodecyl sulfate suggested a molecular mass of 216,000 Da. Endoglycosidase H digestion of the purified enzyme resulted after sodium dodecyl sulfate gel electrophoresis in one distinct band at 41,000 Da, representing the mannose-free protein moiety of acid trehalase. The carbohydrate content of the enzyme was 86%. Amino acid analysis indicated 364 residueslmolecule of enzyme including 9 cysteine moieties and only 1 methionine. The isoelectric point of the enzyme was estimated by gel electrofocusing to be approximately 4.7. The catalytic activity showed a maximum at pH 4.6. The activity of the enzyme was not inhibited by 10 mM each of HgCla, EDTA, iodoacetic acid, phenanthrolinium chloride or phenylmethylsulfonyl fluoride. There was no activation by divalent metal ions. The acid trehalase exhibited an apparent K, for trehalose of 4.7 2 0.1 mM and a V, of 99 pmol of trehalose min” X mg” at 37 “C and pH 4.6. The acid trehalase is located in the vacuoles. The rabbit antiserum raised against acid trehalase exhibited strong cross-reaction with purified invertase. These cross-reactions were removed by affinity chromatography using invertase coupled to CNBr-activated Sepharose 4B. Precipitation of acid trehalase activity was observed with the purified antiserum.
A subset of bacterial inner membrane proteins integrated by the twin‐arginine translocase

A group of bacterial exported proteins are synthesized with N‐terminal signal peptides containing a SRRxFLK ‘twin‐arginine’ amino acid motif. Proteins bearing twin‐arginine signal peptides are targeted post‐translationally to the twin‐arginine translocation (Tat) system which transports folded substrates across the inner membrane. In Escherichia coli, most integral inner membrane proteins are assembled by a co‐translational process directed by SRP/FtsY, the SecYEG translocase, and YidC. In this work we define a novel class of integral membrane proteins assembled by a Tat‐dependent mechanism. We show that at least five E. coli Tat substrate proteins contain hydrophobic C‐terminal transmembrane helices (or ‘C‐tails’). Fusions between the identified transmembrane C‐tails and the exclusively Tat‐dependent reporter proteins TorA and SufI render the resultant chimeras membrane‐bound. Export‐linked signal peptide processing and membrane integration of the chimeras is shown to be both Tat‐dependent and YidC‐independent. It is proposed that the mechanism of membrane integration of proteins by the Tat system is fundamentally distinct from that employed for other bacterial inner membrane proteins.
Low power efficient built in self test

This paper proposes a low power efficient Built in Self Test (BIST) with Test Pattern Generation (TPG) technique, which reduces power dissipation during testing. In general, the correlations between the consecutive test patterns are higher during normal mode than during testing mode. The proposed approach uses the concept of reducing the transitions in the test patterns generated by conventional Linear Feedback Shift Register (LFSR) [1]. The transitions are reduced by increasing the correlation between the successive bits in the test pattern, which is done with the help of modified LFSR. This approach eliminates the need for an external tester. The simulation result shows that the power dissipated during testing is reduced in modified LFSR than in conventional LFSR.
Investment in road infrastructure and regional economic development

The paper deals with the impact of investment in regional road infrastructure on the regional economic development. The key trends and economic effects of investment in the regional road network are identified. Ensuring of sustainable development, improving of investment climate, increasing of competitiveness of the national economy, creating conditions for Kazakhstan's to transit to innovative development, stimulating of regional development is largely dependent on the availability and quality of infrastructure, road network being an important component here. (Rakhimberdinova М.U. Investment in road infrastructure and regional economic development. Life Sci J 2014;11(5s):162-165). (ISSN:1097-8135). http://www.lifesciencesite. com . 31
The Multifunctional Protein YdiV Represses P Fimbria-Mediated Adherence in Uropathogenic Escherichia coli

ABSTRACT YdiV, a degenerate EAL domain protein, represses motility by interacting with FlhD to abolish FlhDC interaction with DNA. Here, we demonstrate that deletion of ydiV dysregulates coordinate control of motility and adherence by increasing adherence of Escherichia coli CFT073 to a bladder epithelial cell line by specifically increasing production of P fimbriae. Interestingly, only one of the two P fimbrial operons, pap_2, present in the genome of E. coli CFT073 was upregulated. This derepression of the pap_2 operon is abolished following deletion of either cya or crp, demonstrating cyclic AMP (cAMP)-dependent activation of the P fimbrial operon. However, the absence of YdiV does not affect the gene expression of cya and crp, and loss of SdiA in the ydiV mutant does not affect the derepression of the pap_2 operon, suggesting that YdiV control of adherence acts in response to cAMP levels. Deletion of ydiV increases motility by increasing expression of fliA, suggesting that in E. coli CFT073, YdiV regulates motility by the same mechanism as that described previously for commensal E. coli strains. Furthermore, analysis of site-directed mutations found two putative Mg2+-binding residues of four conserved YdiV residues (E29 and Q219) that were involved in regulation of motility and FliC production, while two conserved c-di-GMP-binding residues (D156 and D165) only affected motility. None of the four conserved YdiV residues appeared to affect regulation of adherence. Therefore, we propose a model in which a degenerate EAL, YdiV, utilizes different domains to regulate motility through interaction with FlhD and adherence to epithelial cells through cAMP-dependent effects on the pap_2 promoter.
Bringing Google earth to virtual reality

Since its inception, Google Earth has been brought to a variety of platforms: from desktop to mobile devices, from native to web. This talk discusses bringing Google Earth to virtual reality, a platform that poses unique challenges in user interaction and rendering. We present solutions to help users navigate planet-sized worlds in VR without losing context or becoming nauseous, and talk about techniques used to render such large worlds at the steady high frame rates that are required for VR.
Stressor analysis approaches for endangered species assessments

The US Endangered Species Act is legislation with the power to limit human activities that may have deleterious effects on the viability of threatened and endangered species of fauna and flora. However, because most endangered species face multiple threats, it is often unclear whether limiting specific activities will improve the likelihood of long-term survival, particularly when the relative importance of different stressors is uncertain. Wildlife managers responsible for protecting these species face the challenge of determining the optimal allocation of limited funds and personnel among risk management and conservation priorities, in the absence of a good understanding of the relative importance of these stressors. We present an analytical framework that can serve as a technical basis for evaluating multiple risks to endangered species. Predictive and retrospective causal analysis applications are considered. The former address proposed projects where the potential exists for adverse interaction between the project and an endangered species. The latter involve existing projects or products for which a determination is being or has been made concerning the threats posed to an endangered species. The causal analysis method described herein is a well-established procedure that is widely used in other scientific fields and offers a practical and logical process through which threats to endangered species can be assessed and recovery actions prioritized.
A quantitative model for understanding multiple vendor IT outsourcing

In this research, we analyse information technology (IT) outsourcing decisions involving multiple vendors and apply modelling techniques to systematically evaluate such outsourcing decisions. We take costs of in-house production, outsourcing, and coordination into consideration simultaneously. Further we also consider the performance of vendors. To make our work more adaptable, we make different assumptions on the interaction of different jobs. For a case considering the interaction of a pair of jobs at a time, a linear model is formulated. An example problem is solved using a practical spreadsheet based optimiser and the managerial use of this model in decision support is emphasised. For a case considering multiple-way interactions among jobs, we formulate a non-linear model. We discuss how to reformulate and solve an equivalent linearised model. An example problem is also presented for illustrative purposes.
Influence of three different implant thread designs on stress distribution: A three-dimensional finite element analysis

Purpose: Clinical success of implant prosthodontics is dependent in part upon the type of implant thread design. The selection of implant thread design plays an important role in the outcome of the treatment. This study was undertaken to evaluate the pattern of stress distribution using a finite element analysis; hence, the area which would be bearing maximum load for a given design would be arrived. Materials and Methods: Three implants with different thread designs, namely V-thread, buttress, and reverse buttress thread designs were considered and dimensions were standardized. The site considered was the mandibular molar region with cortical and trabecular bone assuming to be isotropic and homogeneous. The implant modeling was done with the CATIA software. Vertical loads of 100N were applied. The stresses were calculated as Von Mises stress criterion. Results: Maximum stresses were seen at the cortical bone and were transferred to the implant. Minimum Von Mises stresses were seen with reverse buttress thread design at the cortical bone. The stresses were observed least at the cancellous bone and maximum at the implant. Conclusion: Hence, within the limitations of this study the results obtained can be applied clinically for appropriate selection of implant thread design for a predictable success of implant therapy.
Extended impedance control of redundant manipulators using joint space decomposition

An impedance control approach based on extended task space formulation is addressed to control the kinematically redundant manipulators. Defining a weighted inner product in joint space, a minimal parametrization of the null space can be achieved. Based on this formulation, we propose a control law called inertially decoupled impedance controller by expanding the conventional impedance control approach to control the motion of the end-effector as well as the internal motion. Some numerical simulations are given to demonstrate the performance of the proposed control methods.
A Multi-Stage Efficiency Analysis of OECD Healthcare and the Impact of Technical Change

This dissertation aims to measure the impact of technical change on OECD Healthcare in a multi-stage framework and identify the different sources of outcome losses to allow for comprehensive policy implications within a diverse dataset including countries from a large variety of development levels facing different healthcare issues. We adopt an output-oriented DEA (Data Envelopment Analysis) methodology to obtain the technical efficiencies in production and provision. Data used in this study is mainly obtained from the Organization for Economic Cooperation and Development (OECD) Health Data 2013 and consists of 34 OECD countries and 12 years between 2000 and 2011. The following introductory chapter gives a general summary of the study and its background, contributions, methodology, and the dataset used in the study.