Miracle-dz/UniFAR-FTUs huggingface dataset:
Regulation of guaC expression in Escherichia coli

The guaC gene encodes GMP reductase, which converts GMP to inosine monophosphate. Regulation of guaC expression was examined by use of guaC-lac fusions created by Mu d1(lac). In these strains, beta-galactosidase is induced by guanine derivatives, and this induction is prevented by adenine. Our previous implication that glutamine acts as a negative effector of transcription was confirmed by showing that glutamine analogs (diazo-oxo-norleucine and methionine sulfoximine) can also induce beta-galactosidase. GMP was implicated as a likely candidate for the in vivo inducer by introducing a gpt block to prevent the conversion of guanine to GMP and a deoD block to prevent the interconversion of guanine and guanosine. Regulatory mutants were isolated by growth on lactose plus adenine. Though these showed high constitutive levels of beta-galactosidase, they were normal for the regulation of GMP reductase when the fusion was corrected by transduction to guaC+ or when guaC+ was introduced by plasmid complementation. The regulatory mutants were linked to guaC.
Music Emotion Regression based on Multi-modal Features 1

Music emotion regression is considered more appropriate than classification for music emotion retrieval, since it resolves some of the ambiguities of emotion classes. In this paper, we propose an AdaBoost-based approach for music emotion regression, in which emotion is represented in PAD model and multi-modal features are employed, including audio, MIDI and lyric features. We first demonstrate the effectiveness of our approach, and then focus on exploring the contribution of individual modalities to the regression of each emotion dimension. A series of experiments show that lyric contributes the most to the regression of emotion dimension P, while audio and MIDI contribute more to the regression of dimension A and D. Thinking that the three modalities provide complementary information from different angles, we combine them and show that the best regression performance is obtained when all modalities are used.
Amino Acid Preferences for a Critical Substrate Binding Subsite of Retroviral Proteases in Type 1 Cleavage Sites

ABSTRACT The specificities of the proteases of 11 retroviruses representing each of the seven genera of the family Retroviridae were studied using a series of oligopeptides with amino acid substitutions in the P2 position of a naturally occurring type 1 cleavage site (Val-Ser-Gln-Asn-Tyr↓Pro-Ile-Val-Gln; the arrow indicates the site of cleavage) in human immunodeficiency virus type 1 (HIV-1). This position was previously found to be one of the most critical in determining the substrate specificity differences of retroviral proteases. Specificities at this position were compared for HIV-1, HIV-2, equine infectious anemia virus, avian myeloblastosis virus, Mason-Pfizer monkey virus, mouse mammary tumor virus, Moloney murine leukemia virus, human T-cell leukemia virus type 1, bovine leukemia virus, human foamy virus, and walleye dermal sarcoma virus proteases. Three types of P2 preferences were observed: a subgroup of proteases preferred small hydrophobic side chains (Ala and Cys), and another subgroup preferred large hydrophobic residues (Ile and Leu), while the protease of HIV-1 preferred an Asn residue. The specificity distinctions among the proteases correlated well with the phylogenetic tree of retroviruses prepared solely based on the protease sequences. Molecular models for all of the proteases studied were built, and they were used to interpret the results. While size complementarities appear to be the main specificity-determining features of the S2 subsite of retroviral proteases, electrostatic contributions may play a role only in the case of HIV proteases. In most cases the P2 residues of naturally occurring type 1 cleavage site sequences of the studied proteases agreed well with the observed P2 preferences.
A new scheme of key distribution using implicit security in Wireless Sensor Networks

Wireless Sensor Network (WSN) is a noticeable subject currently. There are many WSN applications including military control and environmental monitoring. In these applications, the security of data transmission is an important issue. Because sensor nodes are resource limited and they do not have fixed structure model, there needs an efficiently key distribution and management mechanisms to achieve secure communication. This paper proposes a scheme which uses an implicit security technique to distribute the encrypted key. Because most of operations are computed by the base station, this scheme can extend survival time of the network and it is very appropriate for WSN.
Effect of timolol on the diurnal intraocular pressure in exfoliation and primary open-angle glaucoma.

OBJECTIVE To describe and compare the diurnal intraocular pressure (IOP) variation in patients with exfoliation glaucoma (EXG) and primary open-angle glaucoma (POAG) who were treated with a solution of timolol maleate (0.5%) twice daily. DESIGN Consecutive Greek patients who were newly diagnosed as having EXG or POAG were prospectively investigated; they underwent 24-hour diurnal IOP measurements first without therapy and then 6 months afterward while they were being treated with timolol maleate (0.5%). After matching for age, 38 pairs of patients with these 2 types of glaucoma were compared. RESULTS Untreated patients with EXG had significantly higher IOP values for all time points assessed and a greater mean range of IOPs (11.8 mm Hg for EXG vs 7.6 mm Hg for POAG; P < or = .001). Following therapy with timolol maleate (0.5%) given twice daily, patients with EXG had higher IOP values for the measurements that were obtained at 6 and 10 AM, 10 PM, and 2 AM, a higher mean range of IOPs (7.0 mm Hg for EXG vs 5.6 mm Hg for POAG; P = .03), and a higher maximum IOP (mean, 24.9 mm Hg for EXG vs 20.9 mm Hg for POAG; P = .003). The reduction of the range of diurnal variation of IOP was more pronounced in patients with EXG than in patients with POAG (40% vs 26%; P = .04). Twenty-two (58%) of 38 patients with EXG and 20 (53%) of 38 patients with POAG had peak IOP values that were found outside office hours. Only 5 (13%) of the patients with EXG exhibited an IOP of 18 mm Hg or less at all time points compared with 12 (32%) of the patients with POAG (P = .05). CONCLUSION Despite a greater initial IOP reduction in the patients with EXG treated with timolol, a higher IOP and significant fluctuation in the diurnal curve of IOP during the time in which patients received therapy still characterized EXG from POAG.
Identification of an exposed region of the immunogenic capsid polypeptide VP1 on foot-and-mouth disease virus

Iodination of intact foot-and-mouth disease virus results in the selective labeling of VP1, substantiating its exposed location on the virion. A comparison of tryptic peptides revealed that a single tyrosine-containing peptide was labeled with iodine on intact or protease-cleaved virus. The labeled peptide from intact and protease-cleaved virus was characterized by molecular weight sizing and sequence analysis. Carboxypeptidase digestion of intact VP1, limited trypsin-cleaved VP1, and VP1 purified from bacterially contaminated tissue cultures yielded carboxyterminal residues of leucine, valine-arginine, and serine-alanine, respectively. The correlation of these findings with previous data on the amino acid sequence derived from nucleotide sequencing of serotypes A12 and O1 of foot-and-mouth disease virus VP1 places the probable exposed antigenic region of VP1 in a serotype-variable region including residues 136 through 144.
Robot Mapping and Navigation by Fusing Sensory Information

environment. The acquired knowledge through learning process is used to build an internal representation. Knowledge differs from information in that it is structured in long-term memory and it is the outcome of learning. In order to enable an autonomous mobile robot to navigate in unknown or changing environment and to update in real-time the existing knowledge of robot’s surroundings, it is important to have an adaptable representation of such knowledge and maintain a dynamic model of its environment. Navigation in unknown or partially unknown environments remains one of the biggest challenges in today's autonomous mobile robots. Mobile robot dynamic navigation, perception, modeling, localization, and mapping robot’s environment have been central research topics in the field of developing robust and reliable navigation approach for autonomous mobile robots. To efficiently carry out complex missions in indoor environments, autonomous mobile robots must be able to acquire and maintain models of their environments. Robotic mapping addresses the problem of acquiring spatial models of physical environments through mobile robots and it is generally regarded as one of the most important problems in the pursuit of building truly autonomous mobile robots. Acquiring and mapping unstructured, dynamic, or large-scale environments remains largely an open research problem. (Habib & Yuta, 1988; Kuipers & Byun, 1991; Thrun & Bucken, 1996; Murphy, 2000; Thrun, 2002). There are many factors imposing practical limitations on a robot’s ability to learn and use accurate models. The availability of efficient mapping systems to produce accurate representations ofinitially unknown environments is undoubtedly one of the main requirements for autonomous mobile robots. A key component of this task is the robot’s ability to ascertain its location in the partially explored map or to determine that it has entered new territory. Accurate localization is a prerequisite for building a good map, and having an accurate map is essential for good localization (Se et al., 2002;Choset,2001 ). All robots,which do not use pre-placed landmarks or GPS must employ a localization algorithm while mapping an unknown space. Therefore, accurate simultaneous localization and mapping (SLAM) represents a critical factor for
HEADER Nanotechnology and its Potential in Forensic DNA Analysis

In recent years there has been an explosion of interest in developing applications involving nanotechnology. Nanotechnology can be defined as techniques that use materials and measurements at the submicron level. According to the United States government’s National Nanotechnology Initiative (www.nano.gov/), materials at the nanometer scale produce unique phenomena that can enable novel applications. This is because at this scale it is possible to manipulate materials at the level of individual molecules and atoms. With these techniques, one can visualize alternative methods of manufacturing based on the use of atoms as basic building blocks to construct and produce useful machines. This technology is not just science fiction. A good argument can be made that the PCR(a) is just such a nanoscale processing system, using Taq DNA polymerase as a molecular machine to produce DNA. Thus forensic scientists are already using a nanoscale manufacturing process every day.
Dehydroxylation kinetics of lizardite

The thermally induced dehydroxylation of lizardite and its phase transformation to forsterite were studied by high-temperature X-ray diffraction (H T -XRD), thermogravimetry (TGA) and Fourier-transformed infrared spectroscopy (FTIR). Primary sample characteristics like chemical composition and crystallographical structure were determined by combined (HR)TEM-EDX, electron-microprobe analyses (EMPA) as well as conventional X-ray diffraction (XRD). Isothermal H T -XRD and non-isothermal TGA data were treated with the classical Avrami-Erofe’ev method and more advanced isoconversional methods in order to obtain kinetic data of a multi-step decomposition reaction. A highly precise activation energy E a versus reaction progress (α) dependency based on non-isothermal TGA data of lizardite is provided and associated mechanisms are discussed. Here, the main focus is on recently published ab initio calculations from the phase transformation of other phyllosilicates. Moreover, the calculated overall apparent activation energy is compared with discrepant data from the literature and discussed. Especially, the usability of overall activation energies of multi-step decomposition reactions is critically discussed. The presented and discussed reaction steps of water formation from different hydroxyl species in lizardite can be used to improve ab initio calculations, especially the pre-selection of reacting hydroxyl species in hydrous sheet like minerals.
The predictors and clinical impact of intraventricular hemorrhage in patients with aneurysmal subarachnoid hemorrhage

Background Intraventricular hemorrhage is known to complicate the course and outcome of aneurysmal subarachnoid hemorrhage. Aims To identify independent risk factors for intraventricular hemorrhage development and its severity during aneurysm rupture. Methods Six hundred and twenty-five subarachnoid hemorrhage patients treated at our institution between January 2005 and December 2012 were included. The severity of intraventricular hemorrhage was assessed according to the original Graeb score. Clinical and radiographic features of patients present at the bleeding event were tested as potential risk factors for intraventricular hemorrhage. The characteristics of intraventricular hemorrhage were correlated with the clinical course and outcome. Results Intraventricular hemorrhage was present in 206 patients (33%) and was independently predicted by patient’s age (p = 0.001, odds ratio (OR) = 1.02/year of age increase), aneurysm size (p = 0.031, OR = 1.05/mm increase), and location (p < 0.0001, OR = 3.2 for aneurysms of posterior circulation). The severity of intraventricular hemorrhage was predicted by aneurysm size (p = 0.023) and location (higher severity for aneurysms of anterior circulation, p = 0.01). The presence of intraventricular hemorrhage (p < 0.0001, OR = 4.1) and intraventricular hemorrhage severity of >3 points on the Graeb score (p = 0.029, OR = 3.4) was independently associated with poor outcome. Shunt dependency was associated only with the occurrence of intraventricular hemorrhage (p < 0.0001, OR = 2.8) while the severity of intraventricular hemorrhage influenced the timing of shunt placement (p = 0.0156). Conclusions Increasing age, aneurysm size, and location in the posterior circulation are the main risk factors for occurrence of aneurysmal intraventricular hemorrhage, which is independently associated with poor outcome. The severity of intraventricular hemorrhage, however, is higher if the aneurysm is located in the anterior circulation and has impact on functional outcome, but not on shunt dependency.
Efficient truthful mechanisms for the single‐source shortest paths tree problem

Let a communication network be modeled by an undirected graph $G=(V,E)$ of n nodes and m edges, and assume that edges are controlled by selfish agents, which privately hold the length of each owned edge. In this paper we analyze the problem of designing a truthful mechanism for computing one of the most popular network topologies, i.e. the single‐source shortest paths tree. More precisely, we study several realistic scenarios, in which each agent can own either a single edge or multiple edges of G. In particular, for the single‐edge scenario, we show that in the utilitarian case the problem can be efficiently solved in $O(mn \log{}\alpha(m,n))$ time, while in a meaningful non‐utilitarian case, namely that in which agents' valuation functions depend only on the edge lengths, it can be solved in $O(m + n \log n)$ time. On the other hand, for the multiple‐edge scenario, in the utilitarian case we show an $O(mn+n^2 \log n)$ time truthful mechanism, while in the same non‐utilitarian case we provide an n‐approximate truthful mechanism which can be implemented in $O(m n \,\alpha(m,n))$ time. We also show that in the special case in which, for every agent, the owned edges are all incident to the same node, then this latter mechanism has an almost optimal $O(m\,\alpha(m,n))$ runtime. Copyright © 2007 John Wiley & Sons, Ltd.
President’s message

s An abstract that accurately reflects the content of each proposed technical paper must be received by the Program Committee no later than January 23, 2004. The abstract should be between 250 and 500 words in length, and it must include all information considered necessary by the authors to demonstrate the technical merit of the paper. Author contact information and the topic area of the paper should be included in the submission. Where multiple authors are involved, please indicate the author to which e-mail should be addressed. Abstracts are to be submitted electronically as an email attachment (sent to INTELEC@pcmisandiego.com) or uploaded directly on the INTELEC website (see URL above). For questions, call +1 858 565 9921. Deadlines: Receipt of Abstracts January 23, 2004 Authors Notification of Acceptance March 22, 2004 Receipt of Final Manuscripts May 28, 2004 Manuscripts of accepted papers will be included in the conference proceedings. The length of each manuscript must not exceed eight single-spaced typewritten pages, tables and figures included. Papers will not be accepted if they include commercial advertising or product endorsements. Detailed instructions regarding manuscript formatting will be emailed to those authors whose abstracts have been accepted. Exhibits Exhibits featuring power equipment and related products will complement the technical sessions. Companies wishing to reserve exhibit space are invited to contact: Mr Brett Overton or Ms Doris Pierce Show Management & Services Inc 1963 University Lane Lisle, IL 60532 USA Phone: +1 630 271 8210 Fax: +1 630 271 8234 E-Mail: boverton@showmgmtservices.com dpierce@showmgmtservices.com INTELEC is sponsored by the IEEE Power Electronics Society ® 7 IEEE Power Electronics Society NEWSLETTER, Fourth Quarter 2003 Continued on page 8 Interconnection of Distributed Power Inverters with the Distribution Network© Johan H.R. Enslin (SM IEEE) KEMA T&D Consulting Lake Boone Tower 3801 Lake Boone Trail Raleigh, NC 27607 USA Johan.Enslin@kema.com Ph: +1 919 345 1511
Prognostic factors in women with breast cancer: distribution by socioeconomic status and effect on differences in survival

STUDY OBJECTIVE To quantify and investigate differences in survival from breast cancer between women resident in affluent and deprived areas and define the contribution of underlying factors to this variation. DESIGN Analysis of two datasets relating to breast cancer patients in Scotland: (1) population-based cancer registry data; (2) a subset of cancer registration records supplemented by abstraction of prognostic variables (stage, node status, tumour size, oestrogen receptor (ER) status, type of surgery, use of radiotherapy and use of adjuvant systemic therapy) from medical records. SETTING Scotland. PATIENTS (1) Cancer registration data on 21 751 women aged under 85 years diagnosed with primary breast cancer between 1978 and 1987; (2) national clinical audit data on 2035 women aged under 85 years diagnosed with primary breast cancer during 1987 for whom adequate medical records were available. MAIN RESULTS Survival differences of 10% between affluent and deprived women were observed in both datasets, across all age groups. In the audit dataset, the distribution of ER status varied by deprivation group (65% ER positive in affluent groupv 48% ER positive in deprived group; under 65 age group). Women aged under 65 with non-metastatic disease were more likely to have breast conservation than a mastectomy if they were affluent (45%) than deprived (32%); the affluent were more likely to receive endocrine therapy (65%) than the deprived (50%). However, these factors accounted for about 20% of the observed difference in survival between women resident in affluent and deprived areas. CONCLUSIONS Deprived women with breast cancer have poorer outcomes than affluent women. This can only partly be explained by deprived women having more ER negative tumours than affluent women. Further research is required to identify other reasons for poorer outcomes in deprived women, with a view to reducing these survival differences.
A Social Network Graphics Segmentation Algorithm based on community-detection

Today people use multiple online social networks. If we can identify all the accounts which belong to the same individual across different online social networks, we will get a richer understanding of social dynamics and apply it to a number of practical applications. Fortunately, some researchers have got some satisfactory achievements. Many related algorithms need to be calculated the “score” of a pair of nodes which will take much time, but some of those calculations may be redundant. In this paper, we come across a problem that reduces redundant calculations. The graphics segmentation methods give us some enlightenment to solve the problem. We can reduce redundant calculation by “cutting” social network graph to some small subgraphs. Then how to “cut” appears to be a challenge that how to “cut”. Considering the characteristics of the social network community, we will utilize the community segmentation algorithm to split large social networks and refactor subgraphs. Our experiments indicate that our algorithm takes 70% time of original algorithm.
Performance analysis for non-orthogonal multiple access in energy harvesting relaying networks

Non-orthogonal multiple access (NOMA), which uses the power domain for multiple users, has been considered as an emerging candidate for fifth generation downlink transmission. Energy harvesting (EH), a promising technology to prolong the lifetime of energy-constrained wireless networks, has attracted significant attention. In this study, the authors first combine NOMA with EH (NOMA-EH) to enhance system spectral efficiency and user fairness. An NOMA-based relaying network is analysed, where the relay node is equipped with EH device, and functions as the bridge between the base station and the multiple users. The outage performance of the NOMA-EH scheme-based relaying network is studied, where the transmitting antenna selection is applied at the base station and maximal ratio combining is applied at the multiple users. Furthermore, closed-form expression for the system outage probability is also derived. On the basis of the computer simulations, they show the correctness of the numerical analysis and confirm the superiority of the proposed NOMA-EH scheme.
p53 is a regulator of the metastasis suppressor gene Nm23‐H1

p53, a tumor suppressor gene involved in the G1 cell cycle checkpoint, is also the most frequently mutated gene in human cancer. In addition, p53 modifies the ability of tumor cells to metastasize. The metastasis‐associated gene Nm23‐H1, which encodes an 18‐kDa nucleoside diphosphate kinase, was previously identified in cells with low metastatic potential. Although p53 and Nm23‐H1 proteins play an important part in regulating the progression of cancer, any functional relationship between these two proteins is currently unknown. Here we report an association between p53 levels and expression of the Nm23‐H1 gene. Our data indicate that wild‐type (wt) p53 upregulated the expression of Nm23‐H1 at protein and mRNA levels in MCF‐7 and J7B cells. This capacity of wt p53 to regulate expression of Nm23‐H1 was not only dependent on the endogenous but also the exogenous origin of p53, and could not be reproduced with mutant p53. Subsequently, the invasive ability of MCF‐7 and J7B cells was suppressed upon induction of the Nm23‐H1 protein by p53. In contrast, increased levels of p53 downregulated the expression of Nm23‐H1 at the protein and mRNA levels in RKO and H1299 cells and, as a consequence, increased the invasive ability of both cell types. Thus, our results implicated the differential regulation of Nm23‐H1 by p53 in different cell types as an important component in the molecular mechanisms of tumor metastasis. © 2003 Wiley‐Liss, Inc.