Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnosis of a Cutting Tool in a Machining Center

The successful performance of machining centers involves selection, control and monitoring of a large number of parameters. Cutting tool condition is one of the most important variables due to the strong influence on dimensional accuracy and surface finish of the product. However, the cutting tool condition is difficult to measure online. A new proposal for online monitoring of the cutting tool condition based on hidden Markov models is presented. The generated vibration signals between the cutting tool and the workpiece are used for classification of the tool condition in different states (new, half-new, half-worn, and worn cutting tool). Feature vectors were obtained from these vibration signals by applying a triangular filter bank and computing the Mel frequency cepstrum coefficients. The proposal includes a training step using the Baum-Welch algorithm and a diagnosis step exploiting the Viterbi algorithm. A Monte Carlo simulation validates a successful performance using experimental data in a face milling process. A comparison with classical approaches such as artificial neural network is discussed.
Formalization of mouse embryo anatomy

MOTIVATION The Edinburgh Mouse Atlas and Gene Expression Database project has developed a digital atlas of mouse development to provide a spatio-temporal framework for spatially mapped data such as in situ gene expression and cell lineage. As part of this database, a mouse embryo anatomy ontology has been created. A formalization of this anatomy is required to document its precise semantics and how it is used in the context of the Mouse Atlas. RESULTS The paper describes the existing anatomy ontology and formalizes aspects of it using a predicate logic based approach. It therefore provides a guide for users of the current version of the ontology, as well as the basis for a description of the anatomy using an ontology language, such as OWL, thus enabling future work on reasoning about the Mouse Atlas in the context of an intelligent gene expression bioinformatics workflow system. The logic has been implemented in a Prolog prototype. AVAILABILITY The Mouse Atlas is available on-line at http://genex.hgu. mrc.ac. uk
Recent advances in human viruses imaging studies

Microscopy techniques are often exploited by virologists to investigate molecular details of critical steps in viruses’ life cycles such as host cell recognition and entry, genome replication, intracellular trafficking, and release of mature virions. Fluorescence microscopy is the most attractive tool employed to detect intracellular localizations of various stages of the viral infection and monitor the pathogen‐host interactions associated with them. Super‐resolution microscopy techniques have overcome the technical limitations of conventional microscopy and offered new exciting insights into the formation and trafficking of human viruses. In addition, the development of state‐of‐the art electron microscopy techniques has become particularly important in studying virus morphogenesis by revealing ground‐braking ultrastructural details of this process. This review provides recent advances in human viruses imaging in both, in vitro cell culture systems and in vivo, in the animal models recently developed. The newly available imaging technologies bring a major contribution to our understanding of virus pathogenesis and will become an important tool in early diagnosis of viral infection and the development of novel therapeutics to combat the disease.
Optimizing the Performance of In Silico ADMET General Models According to Local Requirements: MARS Approach. Solubility Estimations As Case Study

The quality of in vitro data used to build in silico absorption, distribution, metabolism, and toxicity (ADMET) models is, in many cases, inconsistent. The paucity of data from single laboratory sources has led to the mixing of data sets with varying experimental conditions and to the coverage of restricted chemical space in models which are purported to be of general applicability. In order to overcome these shortcomings, a method, Metropolis/Monte Carlo adaptive ranking simulation (MARS) has been developed. This aims to estimate "optimal flexible threshold points" in order to achieve better correlation between any in silico ADMET model and any discrete qualitative experimental data. The MARS method covers three key factors: the predictive model, the experimental procedure for the assay, and the chemical series or scaffold. When large and general solubility data sets (>650 compounds) are analyzed against commercially available in silico models, using MARS, an improvement in kappa statistics up to 16.2% is obtained. When particular chemical series are addressed, improvements up to 46.0% are seen on kappa statistics. This coefficient then allows an investigation into the effectiveness of a classifier by assessing the improvement over chance. These improvements in ranking estimations allow more predictive decision-making for virtual libraries.
Markets, Firms and the Management of Labour in Modern Britain

Preface 1. Introduction: the management of labour Part I. The Inheritance: 2. Markets, firms, and the management of labour in the nineteenth century Part II. Continuities and Change in the First Half of the Twentieth Century: 3. Markets, firms, and the organisation of production 4. The evolving employment relationship 5. Employers, unions, and collective bargaining Part III: 6. Markets, firms, and the organisation of production 7. Industrial relations: challenges and responses 8. Employment relations in the post-war period Part IV. Conclusions: 9. Markets, firms and the management of labour End notes Index.
Approximating Maximum Lifetime $k$ -Coverage Through Minimizing Weighted $k$ -Cover in Homogeneous Wireless Sensor Networks

Energy efficiency is an important issue in the study of wireless sensor networks. Given a set of targets and a set of sensors with bounded lifetime, the maximum lifetime k-coverage problem is to schedule active/sleeping status of sensors to maximize the time period during which every target is covered by at least k active sensors. Previously, it was known that when the sensing ranges are uniform, this problem has a polynomial time (4+ε)-approximation for k = 1 and (6+ε)-approximation for k = 2. In this paper, we make significant progress by showing that for any positive integer k, there exists a polynomial-time (3 + ε)-approximation.
Soluble type III TGFβ receptor in diagnosis and follow-up of patients with breast cancer

Abstract Type III transforming growth factor (TGFβ) receptor (TGFβrIII) modulates TGFβ superfamily signaling. Its tumor tissue expression is downregulated in human breast cancer. We determined (indirect ELISA) plasma levels of the soluble receptor (sTGFβrIII) in 47 women with breast cancer (AJCC stages 0–IIB) (cases) pre-surgery and over two months after the surgery, and in 36 healthy women (controls). Plasma sTBFβrIII was lower in cases than in the controls (age-adjusted difference −29.7 ng/mL, p < 0.001), and discriminated between disease and health (sensitivity and specificity 100% at 16.6 ng/mL). With adjustment for age, AJCC stage, lymph node involvement, HER2 and hormone receptor status, higher pre-surgery sTBFβrIII was associated with better progression-free survival (HR = 0.68, 95%CI 0.49–0.89, p = 0.004). An increasing trend in plasma sTBFβrIII was observed over 2 months after the surgery (0.6% increase/day, p < 0.001), consistently across the patient subsets. Data suggest a high potential of plasma sTBFβrIII as a novel diagnostic and prognostic biomarker in breast cancer.
Analysis with a Combination of Macrorestriction Endonucleases Reveals a High Degree of Polymorphism among Bordetella pertussis Isolates in Eastern France

ABSTRACT From 1990 to 1996, routine screening for whooping cough identified 399 patients with a calmodulin-dependent adenylate cyclase-positive test result and yielded 69 Bordetella pertussis isolates. None of the patients were fully vaccinated, and most were less than 6 months old. Analysis of total DNA by pulsed-field gel electrophoresis (PFGE) after XbaI,SpeI, or DraI macrorestriction yielded 19, 15, and 5 different patterns, respectively, whereas ribotyping failed to demonstrate any strain polymorphism. Discrimination among the isolates was improved by combining the PFGE profiles. Some patterns were more frequent, but the corresponding patients were not clearly epidemiologically related. The patterns for two strains obtained during a 3-month period from patients who were neighbors differed by the length of a single DNA fragment. These data strongly suggest that one type of isolate is widely spread throughout the world and is carried by individuals other than patients who develop a true illness.
Architectural element matching using concept analysis

A large portion of software development effort is focused on modification and evolution of existing software systems. To feed forward-engineering and design activities, analysts must first recover and synthesize a complete and consistent set of architectural representations. Architectural Synthesis is one method to build this representation. During the Architectural Synthesis of a software system, an analyst must combine information derived from a variety of sources (which we call perspectives). This combination process requires the analyst to make decisions about which elements in the perspectives denote the same underlying parts of the software system. We present an automated technique for matching these elements based upon a mathematical technique called concept analysis. This technique constructs a spectrum of matching relations using a lattice of concepts drawn from the perspectives and descriptive information about the system's application domain. The results show the promise of using concept analysis to match elements and aid in synthesizing a large number of perspectives.
Socially Responsible or Just Plain Social

This study seeks to understand one facet of leadership development among the newest members of a Greek Letter community at a southern university. New Members (NMs) of the Greek Community at NC State University were administered the Socially Responsible Leadership Survey (SRLS Guidebook, 2005) during the Fall, 2011. Results include members of this population perceive themselves as open to and able to commit to organizations; while not being as comfortable with the idea of change. However, it should be noted that none of the constructs measured in the neutral or negative range. Results of this study could be used to assist in driving the mandatory programming provided by NCSU Administration and Greek Life staff in an effort to create more purposeful and directed programming.
Transcript Profiling of Paoenia ostii during Artificial Chilling Induced Dormancy Release Identifies Activation of GA Pathway and Carbohydrate Metabolism

Endo-dormant flower buds must pass through a period of chilling to reinitiate growth and subsequent flowering, which is a major obstacle to the forcing culture of tree peony in winter. Customized cDNA microarray (8×15 K element) was used to investigate gene expression profiling in tree peony ‘Feng Dan Bai’ buds during 24 d chilling treatment at 0–4°C. According to the morphological changes after the whole plants were transferred to green house, endo-dormancy was released after 18 d chilling treatment, and prolonged chilling treatment increased bud break rate. Pearson correlation hierarchical clustering of sample groups was highly consistent with the dormancy transitions revealed by morphological changes. Totally 3,174 significantly differentially-expressed genes (P<0.05) were observed through endo-dormancy release process, of which the number of up-regulated (1,611) and that of down-regulated (1,563) was almost the same. Functional annotation of differentially-expressed genes revealed that cellular process, metabolic process, response to stimulus, regulation of biological process and development process were well-represented. Hierarchical clustering indicated that activation of genes involved in carbohydrate metabolism (Glycolysis, Citrate cycle and Pentose phosphate pathway), energy metabolism and cell growth. Based on the results of GO analysis, totally 51 probes presented in the microarray were associated with GA response and GA signaling pathway, and 22 of them were differently expressed. The expression profiles also revealed that the genes of GA biosynthesis, signaling and response involved in endo-dormancy release. We hypothesized that activation of GA pathway played a central role in the regulation of dormancy release in tree peony.
Molecular analysis of the Escherichia coli phoP-phoQ operon

The phoP-phoQ operon of Salmonella typhimurium is a member of the family of two-component regulatory systems and controls expression of the phoN gene that codes for nonspecific acid phosphatase and the genes involved in the pathogenicity of the bacterium. The phoP-phoQ operon of Escherichia coli was cloned on a plasmid vector by complementation of a phoP mutant, and the 4.1-kb nucleotide sequence, which includes the phoP-phoQ operon and its flanking regions, was determined. The phoP-phoQ operon was mapped at 25 min on the standard E. coli linkage map by hybridization with the Kohara mini set library of the E. coli chromosome (Y. Kohara, K. Akiyama, and K. Isono, Cell 50:495-508, 1987). The predicted phoP and phoQ gene products consist of 223 and 486 amino acids with estimated molecular masses of 25,534 and 55,297 Da, respectively, which correspond well with the sizes of the PhoP and PhoQ proteins identified by the maxicell method. The amino acid sequences of PhoP and PhoQ of E. coli were 93 and 86% identical, respectively, to those of S. typhimurium.
Mexican American Women Grassroots Community Activists: "Mothers of East Los Angeles"

The relatively few studies of Chicana political activism show a bias in the way political activism is conceptualized by social scientists, who often use a narrow definition confined to electoral politics. ' Most feminist research uses an expanded definition that moves across the boundaries between public, electoral politics and private, family politics; but feminist research generally focuses on women mobilized around gender-specific issues.2 For some feminists, adherence to "tradition" constitutes conservatism and submission to patriarchy. Both approaches exclude the contributions of working-class women, particularly those of Afro-American women and Latinas, thus failing to capture the full dynamic of social change.3 The following case study of Mexican American women activists in "Mothers of East Los Angeles" (MELA) contributes another dimension to the conception of grassroots politics. It illustrates how these Mexican American women transform "traditional" networks and resources based on family and culture into political assets to defend the quality of urban life. Far from unique, these patterns of activism are repeated in Latin America and elsewhere. Here as in other times and places, the women's activism arises out of seemingly "traditional" roles, addresses wider social and political issues, and capitalizes on informal associations sanctioned by the community? Religion, commonly viewed as a conservative force, is intertwined with politics.5 Often, women speak of their communities and their activism as extensions of their family and household responsibility. The central role of women in grassroots struggles around quality of life, in the Third World and in the United States, challenges conventional assumptions about the powerlessness of women and static definitions of culture and tradition.
Women's Eating, Weight, and Shape Concerns and the Couple Relationship during the Transition to Parenthood

Women’s Eating, Weight, and Shape Concerns and the Couple Relationship during the Transition to Parenthood. (August 2009) Kristen Rahbar Morrison, B.S., University of Colorado; M.S., Texas A&M University Chair of Advisory Committee: Dr. Brian D. Doss The transition to parenthood brings a host of changes to new parents; two key areas of change are decreases in relationship functioning and a worsening of women’s eating, weight, and shape (EWS) concerns. Past research has suggested that a connection may exist between women’s EWS concerns and relationship functioning during this transition. This study explored the impact of women’s EWS concerns on both partners’ relationship functioning in a sample of 74 couples (148 individuals) having their first baby. The study was part of a larger project exploring interventions during the transition to parenthood; thus, all couples had at least one risk factor for future relationship problems. Participants completed questionnaires approximately seven months into pregnancy and at one and three months postpartum. Results revealed that relationship functioning and women’s EWS concerns worsened from pregnancy to three months postpartum, which is consistent with previous literature. Changes in women’s EWS concerns from before and during pregnancy to three months postpartum were not generally related to changes in either partner’s relationship functioning during the same period. However, the EWS concerns that
Observing the Counterfactual? The Search for Political Experiments in Nature

A search of recent political science literature and conference presentations shows substantial fascination with the concept of the natural experiment. However, there seems to be a wide array of definitions and applications employed in research that purports to analyze natural experiments. In this introductory essay to the special issue, we attempt to define natural experiments and discuss related issues of research design. In addition, we briefly explore the basic methodological issues around the appropriate analysis of natural experiments and give an overview of different techniques. The overarching theme of this essay and of this issue is to encourage applied researchers to look for natural experiments in their own work and to think more systematically about research design.
Understanding the Nature of Absorption/Adsorption in Nanoporous Polysulfide Sorbents for the Li–S Battery

The possibility of achieving high-energy, long-life storage batteries has tremendous scientific and technological significance. A prime example is the Li–S cell, which can offer a 3–5-fold increase in energy density compared with conventional Li-ion cells, at lower cost. Despite significant recent advances, there are challenges to its wide-scale implementation. Upon sulfur reduction, intermediate soluble lithium polysulfides readily diffuse into the electrolyte, causing capacity fading and poor Coulombic efficiency in the cell. Herein, we increase the capacity retention and cycle life of the Li–S cell through the use of nanocrystalline and mesoporous titania additives as polysulfide reservoirs and examine the role of surface adsorption vs pore absorption. We find that the soluble lithium polysulfides are preferentially absorbed within the pores of the nanoporous titania at intermediate discharge/charge. This provides the major factor in stabilizing capacity although surface binding (adsorption) also plays.
The Influence of the Structure of Interdependence on the Response to Inequity in Buyer–Supplier Relationships

This research investigates the conditions under which inequity in a buyer–supplier relationship influences a supplier's resource sharing with its buyer. More specifically, the authors examine the effects of both positive inequity and negative inequity under varying levels of interdependence magnitude and relative dependence. They further examine the effect of inequity on perceived relationship performance. The study includes a longitudinal survey design, with perceived relationship performance reported by a second informant. The study, conducted within the context of Japanese suppliers reporting on their relationship with U.S. buyers, takes a nuanced view of both inequity and relative dependence by employing spline variables to disentangle potentially different effects of positive and negative inequity and relative dependence of the supplier and buyer, respectively. The results reveal that firms' reactions to positive and negative inequity vary depending on the nature of the interdependence structure and that positive and negative inequity differentially influence perceived relationship performance. The findings are important for both further research and managerial action.
Please Scroll down for Article Language and Cognitive Processes a Computational Model of Learning Semantic Roles from Child-directed Language a Computational Model of Learning Semantic Roles from Child-directed Language

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. Semantic roles are a critical aspect of linguistic knowledge because they indicate the relations of the participants in an event to the main predicate. Experimental studies on children and adults show that both groups use associations between general semantic roles such as Agent and Theme, and grammatical positions such as Subject and Object, even in the absence of familiar verbs. Other studies suggest that semantic roles evolve over time, and might best be viewed as a collection of verb-based or general semantic properties. A usage-based account of language acquisition suggests that general roles and their association with grammatical positions can be learned from the data children are exposed to, through a process of generalisation and categorisation. In this paper, we propose a probabilistic usage-based model of semantic role learning. Our model can acquire associations between the semantic properties of the arguments of an event, and the syntactic positions that the arguments appear in. These probabilistic associations enable the model to learn general conceptions of roles, based only on exposure to individual verb usages, and without requiring explicit labelling of the roles in the input. The acquired role properties are a good intuitive match to the expected properties of various roles, and are useful in guiding comprehension in the model to the most likely Toronto for the helpful discussions. This article is an extended version of a paper that appeared in the proceedings of EuroCogSci 2007. We wish to thank the anonymous reviewers of that paper as well as those of this article for their insightful comments and recommendations. We are also grateful for the financial support from the interpretation in the face of ambiguity. The learned roles can also be used to select the correct …