Miracle-dz/UniFAR-FTUs huggingface dataset:
Heat Analysis of Entrepreneurial Hotspots

Recently with the rapid development of entrepreneurship in China, many problems have been emerging such as overcrowding in the same entrepreneurship focuses and the investment bubbles. So, the key to be successful in entrepreneurship is to know the real hotspots in the market. However, there are little works related to the quantification analysis of entrepreneurial hotspots. This paper adopts Latent Dirichlet Allocation algorithm to analyze the data of 120,000 start-ups including their establishing time, financing stage, etc., and obtain the specific entrepreneurial hot topics of market. We also gave the rank list of these topics in different fields through a rule we designed. The statistical results in CB Insights database demonstrate that the analyzed results in hotspots basically accord with the real situation. Therefore, our proposed method for analyzing hotspots can provide valuable evaluation criteria to entrepreneurs and investors.
Buttonhole: an old technique rediscovered.

, portanto perfeitamen-te adequado. Esse termo tambem ja foi empregado pela comunidade medica por -tuguesa. Sugerimos ao JBN, e a comuni-dade nefrologica brasileira em geral, a normatizacao deste termo em trabalhos futuros.O segundo comentario refere-se aos aspectos medicos. Em nossa experien-cia, recentemente publicada (Galante
Descriptive Analysis of Fear and Distrust in Early Phases of GSD Projects

When globally distributed software development (GSD) is understood as knowledge intensive collaborative work, many of the reasons for problems encountered in GSD projects can be traced back to social conditions framing the collaboration between people at onsite and offsite. A total of 59 interviews were conducted in 8 GSD projects of two major software companies located in Finland. As a result of categorization of problems related to group relations in GSD projects, the lack of trust between onsite and offsite and fears of losing jobs at onsite was found as major problems in the early phases of the projects. Our analysis suggests that poorly communicated reasons GSD can cause severe problems in collaboration between people by laying the ground for fears and for distrust between sites. The study contributes to the GSD research by creating a novel empirical description of the linkages between fear and distrust in GSD.
Analysis of the Fibroblast Growth Factor System Reveals Alterations in a Mouse Model of Spinal Muscular Atrophy

The monogenetic disease Spinal Muscular Atrophy (SMA) is characterized by a progressive loss of motoneurons leading to muscle weakness and atrophy due to severe reduction of the Survival of Motoneuron (SMN) protein. Several models of SMA show deficits in neurite outgrowth and maintenance of neuromuscular junction (NMJ) structure. Survival of motoneurons, axonal outgrowth and formation of NMJ is controlled by neurotrophic factors such as the Fibroblast Growth Factor (FGF) system. Besides their classical role as extracellular ligands, some FGFs exert also intracellular functions controlling neuronal differentiation. We have previously shown that intracellular FGF-2 binds to SMN and regulates the number of a subtype of nuclear bodies which are reduced in SMA patients. In the light of these findings, we systematically analyzed the FGF-system comprising five canonical receptors and 22 ligands in a severe mouse model of SMA. In this study, we demonstrate widespread alterations of the FGF-system in both muscle and spinal cord. Importantly, FGF-receptor 1 is upregulated in spinal cord at a pre-symptomatic stage as well as in a mouse motoneuron-like cell-line NSC34 based model of SMA. Consistent with that, phosphorylations of FGFR-downstream targets Akt and ERK are increased. Moreover, ERK hyper-phosphorylation is functionally linked to FGFR-1 as revealed by receptor inhibition experiments. Our study shows that the FGF system is dysregulated at an early stage in SMA and may contribute to the SMA pathogenesis.
Secreted TARSH regulates olfactory mitral cell dendritic complexity

Olfactory sensory neurons synapse with mitral cells to form stereotyped connections in the olfactory bulb (OB). Mitral cell apical dendrites receive input from olfactory sensory neurons expressing the same odorant receptor. During development, this restricted dendritic targeting of mitral cells is achieved through eliminating elaborated dendritic trees to a single apical dendrite. Through a genome‐wide microarray screen, we identified TARSH (Target of NESH SH3) as a transiently expressed molecule in mitral cells during the dendritic refinement period. TARSH expression is restricted to pyramidal neurons along the main olfactory pathway, including the anterior olfactory nucleus and piriform cortex. The dynamic TARSH expression is not altered when odor‐evoked activity is blocked by naris closure or in AC3 knockout mice. We also demonstrate that TARSH is a secreted protein. In dissociated OB cultures, secreted TARSH promotes the reduction of mitral cell dendritic complexity and restricts dendritic branching and outgrowth of interneurons. Dendritic morphological changes were also observed in mitral cells overexpressing TARSH themselves. We propose that TARSH is part of the genetic program that regulates mitral cell dendritic refinement.
Recognizing water-based activities in the home through infrastructure-mediated sensing

Activity recognition in the home has been long recognized as the foundation for many desirable applications in fields such as home automation, sustainability, and healthcare. However, building a practical home activity monitoring system remains a challenge. Striking a balance between cost, privacy, ease of installation and scalability continues to be an elusive goal. In this paper, we explore infrastructure-mediated sensing combined with a vector space model learning approach as the basis of an activity recognition system for the home. We examine the performance of our single-sensor water-based system in recognizing eleven high-level activities in the kitchen and bathroom, such as cooking and shaving. Results from two studies show that our system can estimate activities with overall accuracy of 82.69% for one individual and 70.11% for a group of 23 participants. As far as we know, our work is the first to employ infrastructure-mediated sensing for inferring high-level human activities in a home setting.
Bio-Inspired Generalized Global Shape Approach for Writer Identification

Abstract—Writer identification is one of the areas in pattern recognition that attract many researchers to work in, particularly in forensic and biometric application, where the writing style can be used as biometric features for authenticating an identity. The challenging task in writer identification is the extraction of unique features, in which the individualistic of such handwriting styles can be adopted into bio-inspired generalized global shape for writer identification. In this paper, the feasibility of generalized global shape concept of complimentary binding in Artificial Immune System (AIS) for writer identification is explored. An experiment based on the proposed framework has been conducted to proof the validity and feasibility of the proposed approach for off-line writer identification.
An In Silico Analysis of Troponin I Mutations in Hypertrophic Cardiomyopathy of Indian Origin

Hypertrophic Cardiomyopathy (HCM) is an autosomal dominant disorder of the myocardium which is hypertrophied resulting in arrhythmias and heart failure leading to sudden cardiac death (SCD). Several sarcomeric proteins and modifier genes have been implicated in this disease. Troponin I, being a part of the Troponin complex (troponin I, troponin C, troponin T), is an important gene for sarcomeric function. Four mutations (1 novel) were identified in Indian HCM cases, namely, Pro82Ser, Arg98Gln, Arg141Gln and Arg162Gln in Troponin I protein, which are in functionally significant domains. In order to analyse the effect of the mutations on protein stability and protein-protein interactions within the Troponin complex, an in silico study was carried out. The freely available X-ray crystal structure (PDB ID: 1JIE) was used as the template to model the protein followed by loop generation and development of troponin complex for both the troponin I wild type and four mutants (NCBI ID: PRJNA194382). The structural study was carried out to determine the effect of mutation on the structural stability and protein-protein interactions between three subunits in the complex. These mutations, especially the arginine to glutamine substitutions were found to result in local perturbations within the troponin complex by creating/removing inter/intra molecular hydrogen bonds with troponin T and troponin C. This has led to a decrease in the protein stability and loss of important interactions between the three subunits. It could have a significant impact on the disease progression when coupled with allelic heterogeneity which was observed in the cases carrying these mutations. However, this can be further confirmed by functional studies on protein levels in the identified cases.
DOTS: A propagation Delay-aware Opportunistic MAC protocol for underwater sensor networks

Underwater Acoustic Sensor Networks (UW-ASNs) use acoustic links as a means of communications and are accordingly confronted with long propagation delays, low bandwidth, and high transmission power consumption. This unique situation, however, permits multiple packets to concurrently propagate in the underwater channel, which must be exploited in order to improve the overall throughput. To this end, we propose the Delay-aware Opportunistic Transmission Scheduling (DOTS) algorithm that uses passively obtained local information (i.e., neighboring nodes' propagation delay map and their expected transmission schedules) to increase the chances of concurrent transmissions while reducing the likelihood of collisions. Our extensive simulation results document that DOTS outperforms existing solutions and provides fair medium access.
SSIE: An Automatic Data Extractor for Sports Management in Athletics Modality

Sports management concerns the organization of sport results and modalities information and statistical analysis by professionals. However, these information scattered around the web or organized by sport events which difficult the prospection of sport talents and the textual information are unstructured or semi-structured. This work proposes a Summary Sport Information Extraction System (SSIE) to generate a summary of statistics of the athletics modality by the automatic information extraction of documents retrieved from web. These documents are converted in textual information and classified using Naive Bayes learning method, according to sport type. After the documents retrieval and classification, text segmentation/tokenization, corpus annotation and entity/subset recognition by chunking were used to generate data frames in parse trees structure. The parse trees information are stored in a database, from which was possible to summary projection and big data analyzing over the web. The main contribution of this work was the clustering of huge amount of data spread on the web, useful for sports management.
A MEMS Viscosity sensor for conductive fluids

MEMS Viscosity sensors are widely used in different applications nowadays. MEMS sensors are created by making them small in size almost penny-like sized. With low power consumption, cheap costs of production, and mass production of the devices. These sensors are able to measure viscosity through three different characteristics, the frequency, amplitude and the quality factor. Each of these describes the fluids viscosity, by using a vibrational type viscometer. The sensor has been proven to work in conductive fluids after a post process fabrication of a protective layer of Parylene C. The sensors performance has been altered due to a thicker membrane, but still operates as expected. The MEMS viscosity sensor has been tested in various glycerol water mixtures to simulate conductive fluids with varying viscosity. The tests had positive outcomes, and the sensors performance was not altered, they worked as predicted. Different tests were accomplished to make sure the sensors performance remained close to normal operations after adding the protective layer of Parylene C. Four distinct oils were chosen to accomplish this variation test. Oil was chosen rather than a conductive liquid in order to prevent the sensor from damaging itself, and having to repackage another sensor and running all the previous tests. With these tests the sensor proved that adding a thin layer of Parylene C does not alter the sensors performance, but it does tend to change some of the theoretical calculations because there are various factors involving the addition of a protective layer post fabrication. In this case a layer of 0. 5μm of Parylene C is thick enough to protect against conductive fluid. Overall the addition of the protective layer shielded the sensor from conductive fluids and prevented the electrical currents to expand through the conductive fluid.
Transcriptome networks in the mouse retina: An exon level BXD RI database

Purpose Differences in gene expression provide diverse retina phenotypes and may also contribute to susceptibility to injury and disease. The present study defines the transcriptome of the retina in the BXD RI strain set, using the Affymetrix Mouse Gene 2.0 ST array to investigate all exons of traditional protein coding genes, non-coding RNAs, and microRNAs. These data are presented in a highly interactive database on the GeneNetwork website. Methods In the Normal Retina Database, the mRNA levels of the transcriptome from retinas was quantified using the Affymetrix Mouse Gene 2.0 ST array. This database consists of data from male and female mice. The data set includes a total of 52 BXD RI strains, the parental strains (C57BL/6J and DBA/2J), and a reciprocal cross. Results In combination with GeneNetwork, the Department of Defense (DoD) Congressionally Directed Medical Research Programs (CDMRP) Normal Retina Database provides a large resource for mapping, graphing, analyzing, and testing complex genetic networks. Protein-coding and non-coding RNAs can be used to map quantitative trait loci (QTLs) that contribute to expression differences among the BXD strains and to establish links between classical ocular phenotypes associated with differences in the genomic sequence. Using this resource, we extracted transcriptome signatures for retinal cells and defined genetic networks associated with the maintenance of the normal retina. Furthermore, we examined differentially expressed exons within a single gene. Conclusions The high level of variation in mRNA levels found among the BXD RI strains makes it possible to identify expression networks that underline differences in retina structure and function. Ultimately, we will use this database to define changes that occur following blast injury to the retina.
Microfabricated templates for the electrodeposition of metallic barcodes for use in multiplexed bioassays

Lithographically defined polyimide templates were prepared using microfabrication techniques. The templates consist of high aspect ratio pores that were formed by deep plasma etching. Different metals are electrodeposited into the pores, and then the template is removed to allow the metallic rods (particles) to be released into solution. The striping pattern of metals on the particles is used to optically identify the particles. Particles range in size from 0.6 /spl mu/m in diameter by 7.7 /spl mu/m in length to 4.2 /spl mu/m by 27 /spl mu/m in length. These particles have been evaluated in a multiplexed DNA hybridization assay.
FF-Anonymity: When Quasi-identifiers Are Missing

Existing approaches on privacy-preserving data publishing rely on the assumption that data can be divided into quasi-identifier attributes (QI) and sensitive attribute (SA). This assumption does not hold when an attribute has both sensitive values and identifying values, which is typically the case. In this paper, we study how such attributes would impact the privacy model and data anonymization. We identify a new form of attacks, called "freeform attacks", that occur on such data without explicit QI attributes and SA attributes. We present a framework for modeling identifying/sensitive information at the value level, define a problem to eliminate freeform attacks, and outline an efficient solution.
Two Application languages in software production

PRL5 is an application-oriented language used to maintain the integrity of databases in the AT&T 5ESSTM telecommunications switch. PRL5 is unusual in that it was explicitly designed to eliminate a number of different coding and inspection steps rather than simply to improve individual productivity. Because PRL5 replaced an earlier high-level language named PRL, which in turn replaced a combination of English and C on the same project, it is possible to trace the effect of several fundamentally different languages on this single project. The linguistic evolution has been away from languages describing computation toward a "declarative" high-level language that has been deliberately restricted to accommodate the requirements of certain analyses. Algorithms for checking database constraints are no longer specified by human developers; instead, code is generated from static representations of the constraints themselves. These constraint descriptions can be used in more than one way, whereas a program to check constraints is useful only for performing that particular computation. In effect, PRL5 allows the re-use of project information at a high level, before it has been specialized into particular implementations. The effects of this re-use on quality, interval, and cost are tangible. A key lesson is that application-oriented languages should not be designed to describe computation, they should be designed to express useful facts from which one or more computations can be derived.
Cutting through the Confusion: A Measurement Study of Homograph Attacks

Web homograph attacks have existed for some time, and the recent adoption of International Domain Names (IDNs) support by browsers and DNS registrars has exacerbated the problem [Gabr02]. Many international letters have similar glyphs, such as the Cyrillic letter P (lower case 'er,' Unicode 0x0440) and the Latin letter p. Because of the large potential for misuse of IDNs, browser vendors, policy advocates, and researchers have been exploring techniques for mitigating homograph attacks [=Mozi05, Appl05, Oper05, Mark05]. There has been plenty of attention on the problem recently, but we are not aware of any data that quantifies the degree to which Web homograph attacks are currently taking place. In this paper, we use a combination of passive network tracing and active DNS probing to measure several aspects of Web homographs. Our main findings are four-fold. First, many authoritative Web sites that users visit have several confusable domain names registered. Popular Web sites are much more likely to have such confusable domains registered. Second, registered confusable domain names tend to consist of single character substitutions from their authoritative domains, though we saw instances of five-character substitutions. Most confusables currently use Latin character homographs, but we did find a non-trivial number of IDN homographs. Third, Web sites associated with non-authoritative confusable domains most commonly show users advertisements. Less common functions include redirecting victims to competitor sites and spoofing the content of authoritative site. Fourth, during our nine-day trace, none of the 828 Web clients we observed visited a non-authoritative confusable Web site. Overall, our measurement results suggest that homograph attacks currently are rare and not severe in nature. However, given the recent increases in phishing incidents, homograph attacks seem like an attractive future method for attackers to lure users to spoofed sites.
Suicidal ideation and suicide attempts among ethnic minority groups in England: results of a national household survey

Background. Socio-cultural factors impact on the extent of suicidal ideation and attempted suicide but the relative importance of these factors among people from different ethnic groups in Britain has not been explored. We examined the prevalence of suicidal ideation, the incidence of attempted suicide, and the extent of service utilization following attempted suicide among representative samples of White, Irish, Black Caribbean, Bangladeshi, Indian and Pakistani individuals living in England. Method. We conducted a secondary analysis of data from the EMPIRIC study, a cross-sectional survey of 4281 adults aged 16–74 years, living in private households in England. Results. Lifetime suicidal ideation was generally lower in ethnic minority groups but higher among those born in the UK than those who migrated to England as adults. Risk factors for suicidal ideation have much in common across different ethnic groups; current symptoms of mental distress being the most important. White British and Irish respondents were twice as likely to receive medical attention following attempted suicide than those from other ethnic groups. Conclusions. Services need to adapt in order to ensure that people from ethnic minorities receive appropriate psychological and medical care following attempted suicide.
Conserved Microsynteny of NPR1 with Genes Encoding a Signal Calmodulin-Binding Protein and a CK1-Class Protein Kinase in Beta vulgaris and Two Other Eudicots

NPR1 is a gene of central importance in enabling plants to resist microbial attack. Therefore, knowledge of nearby genes is important for genome analysis and possibly for improving disease resistance. In this study, systematic DNA sequence analysis, gene annotation, and protein BLASTs were performed to determine genes near the NPR1 gene in Beta vulgaris L. , Medicago truncatula Gaertn, and Populus trichocarpa Torr. & Gray, and to access predicted function. Microsynteny was discovered for NPR1 with genes CaMP, encoding a chloroplast-targeted signal calmodulin-binding protein, and CK1PK, a CK1-class protein kinase. Conserved microsynteny of NPR1, CaMP, and CK1PK in three diverse species of eudicots suggests maintenance during evolution by positive selection for close proximity. Perhaps close physical linkage contributes to coordinated expression of these particular genes that may control critically important processes including nuclear events and signal transduction.
ASSESSING THE IMPACT OF ATMOSPHERIC DEPOSITION AND HARVEST INTENSITY ON SOIL ACIDITY AND NUTRIENT POOLS IN PLANTATION FORESTS

ii Co-authorship Statement . iv Acknowledgements . v List of Tables . ix List of Figures . xi 1 General Introduction . 1 1.1 Background and objectives . 1 1.2 Study sites . 8 2 Contrasting responses of two Sitka spruce forest pl ots in Ireland to reductions in sulphur emissions: results of 20 years of monitorin g . 10 2.1 Abstract . 10 2.2 Introduction . 12 2.3 Materials and methods . 15 2.3.1 Site description. 15 2.3. 2 Sample collection and analysis . 19 2.3. 3 Statistical analysis . 21 2.4 Results . 23 2.4. 1 Ion concentrations . 23 2.4. 2 Temporal trends in bulk precipitation and throughfa ll . 26 2.4. 3 Temporal trends in humus, shallow and deep soil wat er . 31 2.4. 4 Principal component analysis of throughfall, humus and soil water 37 2.5 Discussion . 44 2.5. 1 Temporal changes in atmospheric deposition . 44 2.5. 2 Temporal trends in humus water.46 2.5. 3 Temporal trends in soil water at Cloosh . 47 2.5. 4 Temporal trends in soil water at Roundwood . 48 2.6 Conclusion . 51 3 Base cation budgets in Irish forests under harvesti ng scenarios . 53 3.1 Abstract . 53