Miracle-dz/UniFAR-FTUs huggingface dataset:
On the bootstrap in cube root asymptotics À propos du bootstrap pour des estimateurs convergeant à la vitesse racine cubique

The authors study the application of the bootstrap to a class of estimators which converge at a nonstandard rate to a nonstandard asymptotic distribution. They provide a theoretical framework to study its asymptotic behaviour. A simulation study clearly shows that in the case of an estimator such as Chernoff’s estimator of the mode (1964) usually the basic bootstrap confidence intervals drastically undercover while the percentile bootstrap intervals overcover. This is one of the rare instances where basic and percentile confidence intervals, which have exactly the same length, behave in a very different way. In the case of Chernoff’s estimator, if the distribution is symmetric, it is possible to bootstrap from a smooth symmetric estimator of the distribution for which the basic bootstrap confidence intervals will have the claimed coverage probability while the percentile bootstrap interval will have an asymptotic coverage of 1!
AUTOMATIC METHOD TO PRODUCTION PROCESSES

This paper presents the study for the computer program that enables the d velop shell plating, considering the manufacturing processes. The program’s aim is to increase the degree of automatization in the production lines of the ship’s more precisely, the quality of the plate d velopment its forming. The program uses the key points of the plate data. These points are obtained from the body plan of ship and correspond to basic geometry of shell in the vertical plan. The program applies the geodesic method plate development and in the case of a double curvature plate development , the program takes into account manufacturing process, applying the necessary corrections in the plate development due to plasticity.
FiDoop-DP: An Efficient Data Mining Technique on Heterogeneous Clusters

Data mining is the analysis step of the “Knowledge discovery in data bases process” [1]. Actually, it is very hard to mine item-sets which are frequently used in the transactions. To identify frequently used item-sets, parallel algorithms which are used for mining were developed. These parallel algorithms were developed to balance the data and to maintain equal partitions of data, among a group of nodes which are to be computed. Because of redundant transactions, there is a significant performance problem of parallel frequent item-sets mining. Therefore, a data partitioning technique has been developed. FiDoop-DP is a kind of data partitioning method which is used to divide the data based on item-sets of the transaction which are brought by the clients or customers. To know better about frequent item-sets i.e., products which are regularly sold together, an algorithm is used for time consumption while running data which is extremely large. This algorithm is named as Equivalence Class clustering and Lattice Traversal algorithm (ECLAT). This ECLAT algorithm is combined with the Map-Reduce functionality, and then it gives better solutions within small amount of time. At the same time ECLAT is combined with Local sensitive hashing technique for better performance of items which are present at locally present in the data nodes. By combining those two techniques, the performance of FiDoop increases. This is known by the time taken to mine frequent item-sets. The main goal of this paper is to mine the itemsets which are prominently used or sold in the market by that it can increase the sales of those products.
Comparison of tribological performance of zinc dialkyldithiophosphate (ZDDP) in poly-alpha-olefin (PAO) and palm oil-based trimethylopropane (TMP) ester

Due to environmental legislations, automotive industry is striving hard to shift from mineral/synthetic oils to environmental friendly ones such as vegetable oils. In this study, effectiveness of ZDDP in enhancing the tribological properties of steel/steel contact, when used in combination with palm-oil based TMP ester, has been investigated and the results are compared with that of PAO. Friction and wear experiments were carried out using four-ball tribotesting machine. TMP and TMP+PAO offered low values of friction compared to PAO. In addition, ZDDPderived tribofilm was detected on the interacting surfaces, when TMP+PAO+ZDDP lubricant was used, resulting in decreased wear.
Enterprise social software appropriation: A dance of animacy

By viewing organisational appropriation of enterprise social software (ESS), this research-in-progress paper explores the juxtaposed relationship between two practices, that of client and consultant, as they work together to co-design a joint ESS solution for the client’s workplace. The lead researcher’s embedded relationship in a case organisation, who specialise in ESS, enables in-situ observation of the breakdowns and tensions between practices. Through a design and practice-based perspective, the taken-for-granted assumptions of both practices are animated through useful tensions as design-based activities unfold. A double hermeneutic process emerges in which the two practices work towards understanding each other’s practice as well as their own respective role in the project.
Identification of Molecular Mechanism for Freeze Tolerance in Flower Buds of Helleborus orientalis

Recent changes in climate have led to very dramatic temperature fluctuations in winter and spring. Warmer winters and early springs and sudden temperature dips to subzero in mid to late spring are of common occurrence in the United States of America. Horticultural plants, including spring blooming ornamental species, fruit trees, and vegetables are very vulnerable to such weather conditions. This study was performed to identify genes conferring tolerance to the freeze-thaw stress in flower buds of Helleborus orientalis, using genome wide mRNA profiling (cDNA differential display) and quantitative real-time polymerase chain reaction analysis. Flowers were collected from field plants at frozen-defrosted-recovery stages and an incubator experiment was conducted under a corresponding temperature regime (04-10 ± 1°C). Based on expression patterns and putative functions of the isolated genes, programmed cell death, water transportation (aquaporin proteins), and oxidative phosphorylation are proposed to play key roles in the tolerance mechanism for freezing temperature; genes in the biosynthesis of steroids and terpenes were activated as soon as the temperature warmed up to above freezing point. This study provides novel understanding and gene sequences to be used for improving tolerance to subzero freezing temperature in floral plants. _____________________________________________________________________________________________________________
STAGED APPROACH IN EUROPE

This paper briefly describes the status of the pre-conceptual design activities in Europe to advance the technical basis of the design of a DEMOnstration Fusion Power Plant (DEMO) with the main aim of demonstrating, around the middle of the century, the production of few hundred MWs of net electricity and feasibility of operation with a closed-tritium fuel cycle, including maintenance systems capable of achieving appropriate availability. This is expected to benefit as much as possible from the ITER experience, in terms of design, licensing, and construction, to provide a clear path for urgent R&D and to partially leverage the ITER R&D program in some areas (e.g. TBM choice, plasma operating scenarios, etc.). The emphasis is put on a design integration approach, based on system engineering, which addresses the key design integration issues by taking account of critical systems interdependencies and inherent uncertainties of important design assumptions (physics and technology). A design readiness evaluation, together with a technology maturation and down selection strategy are planned through rigorous Gate Reviews. By embedding industry experience in the design from the very beginning it will ensure that early attention is given to technology readiness and industrial feasibility, costs, maintenance, power conversion, nuclear safety and licensing aspects.
AN ADVANCED COMPARATIVE STUDY OF THE MOST PROMISING NOSQL AND NEWSQL DATABASES WITH A MULTI-CRITERIA ANALYSIS METHOD

Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time[1]. Big data "size" is a constantly moving target, as of 2012 ranging from a few dozen terabytes to many petabytes of data. Big data is a set of techniques and technologies that require new forms of integration to uncover large hidden values from large datasets that are diverse, complex, and of a massive scale [2]. Currently, there are a hundred solutions to the problem of Big Data that can be classified into three categories: NoSQL databases, NewSQL and Search-based systems. One of the major problems often mentioned is the heterogeneity of the languages and the interfaces they offer to developers and users. Different platforms and languages have been proposed, and applications developed for one system require significant effort to be migrated to another one [3]. Our motivation to write this article is to make a comparative study of Big Data systems, this is our first step to design and implement concrete and effective solution to the interoperability problem between Big Data systems. However, this study will help the professionals in decision-making.
Learning Convex Optimization Control Policies

Many control policies used in various applications determine the input or action by solving a convex optimization problem that depends on the current state and some parameters. Common examples of such convex optimization control policies (COCPs) include the linear quadratic regulator (LQR), convex model predictive control (MPC), and convex control-Lyapunov or approximate dynamic programming (ADP) policies. These types of control policies are tuned by varying the parameters in the optimization problem, such as the LQR weights, to obtain good performance, judged by application-specific metrics. Tuning is often done by hand, or by simple methods such as a crude grid search. In this paper we propose a method to automate this process, by adjusting the parameters using an approximate gradient of the performance metric with respect to the parameters. Our method relies on recently developed methods that can efficiently evaluate the derivative of the solution of a convex optimization problem with respect to its parameters. We illustrate our method on several examples.
Clinical and laboratory findings in adolescents in 'Cigotica' programme from 2008 to 2012

INTRODUCTION: Obesity is becoming an increasingly important public health problem due to a drastic increase in its frequency, not only in adult but also at the pediatric and adolescent age, which directly and indirectly influences population morbidity, life expectancy and mortality. In response to the obesity epidemic in Serbia in 2008, the Center for the prevention, treatment and rehabilitation of obesity in children and adolescents was formed as well as 'CIGOTICA' Programme at the Special Hospital 'Zlatibor'. The characteristics of programs 'CIGOTICA' Programme is a multidisciplinary approach to the treatment of obese children, which includes specific training, dietary intervention with the reduction of total daily caloric intake, physical activity, clinical control and psychological support, change in behaviour and lifestyle. OBJECTIVE: To identify the complications of obesity and metabolic risk factors in adolescents participating in CIGOTICA Programme. METHOD: Anthropometric, clinical and biochemical parameters were analyzed in 1,000 adolescents (468 girls and 532 boys), of average 15.30 years of age (range 12 to 18) with primary obesity. The research was conducted at the Center for the Prevention and treatment of obesity in children and adolescents at the Special Hospital 'Cigota' from 27 July, 2008 to 1January, 2012. Hospitalization lasts 21 days. The criterion for obesity is the body mass index (BMI)> +2 SD. In addition to clinical examination, blood pressure was measured. Triglycerides, total, HDL and LDL cholesterol, uric acid and glucose were measured on the second day of hospitalization after 12 hours of fasting. RESULTS: Abdominal obesity defined as OS> P90 was diagnosed in all examinees (100%). 28% of adolescents had hypertension. Acanthosis nigricans was present in 51.4% of adolescents. Triglyceride values were high in 7.8% of patients, lower levels of HDL h were observed in 22.9% of the examinees, and high cholesterol was present in 5.8% of patients. Two risk factors for metabolic syndrome were observed in 27.6%, and metabolic syndrome was present in 18.3% of patients. 8.9% examinees had a glucose disorder (0.3%). Orthopedic complications were observed in 82% of the examinees. Polycyistic ovary syndrome were observed in 12% of adolescents. CONCLUSION: Complications occur in a large number of obese adolescents, which indicates the seriousness of the problem of obesity and the need for more effective prevention programmes. Short-term effects of Cigotica programme are encouraging, and the effectiveness of the multidisciplinary approach to obesity treatment will be evaluated by the current research which analyses sustainability of the achieved results.
Proceedings of the 4th Workshop on Awareness and Reflection in Technology Enhanced Learning. In conjunction with the 9th European Conference on Technology Enhanced Learning: Open Learning and Teaching in Educational Communities

We describe our use of the Experience API in preparing blue-collar workers for three frequently arising work contexts, including, for example, the requirement to perform maintenance tasks exactly as specified, consistently, quickly, and without error. We provide some theoretical underpinning for modifying and updating the API to remain useful in near-future training scenarios, such as having a shorter time allowed for kinaesthetic learning experiences than in traditional apprenticeships or training. We propose ways to involve a wide range of stakeholders in appraising the API and ensuring that any enhancements to it, or add-ons, are useful, feasible and compatible with current TEL practices and tools, such as learning-design modelling languages.
Identifying and Characterizing Bashlite and Mirai C&C Servers

IoT devices are often a vector for assembling massive botnets, as a consequence of being broadly available, having limited security protections, and significant challenges in deploying software upgrades. Such botnets are usually controlled by centralized Command-and-Control (C&C) servers, which need to be identified and taken down to mitigate threats. In this paper we propose a framework to infer C&C server IP addresses using four heuristics. Our heuristics employ static and dynamic analysis to automatically extract information from malware binaries. We use active measurements to validate inferences, and demonstrate the efficacy of our framework by identifying and characterizing C&C servers for 62% of 1050 malware binaries collected using 47 honeypots.
Compensation of thermal drift during the single-point diamond turning process based on the LSTM

In this paper, we propose a compensation method for the nanometer level of thermal drift by adopting long-short term memory (LSTM) algorithm. The precision of a machining process is highly affected by environmental factors. Especially in case of a single-point diamond turning (SPDT), the temperature fluctuation directly causes the unexpected displacement at nanometer scale between a diamond tool and a workpiece, even in the well-controlled environment. LSTM is one of the artificial recurrent neural network algorithms, and we figure out that it is quite suitable to predict the temperature variation based on the history of thermal fluctuation trends. We monitor the temperatures at 8 spots nearby a SPDT machine, and the neural network based on LSTM algorithm is trained to construct the thermal drift model from the time series data. Results of thermal drift prediction showed that the proposed method gives an effective model upon the well-controlled laboratory environment, and by which the thermal drift can be compensated to improve the precision of SPDT process.
Reproductive Investment Patterns in a Captive Population of Alligator Snapping Turtles (Macrochelys temminckii )

Abstract Identifying resource allocation patterns is fundamental to understanding reproductive investment strategies that maximize maternal fitness. Turtles are useful model organisms for such studies because many species do not invest in postnesting parental care; therefore, variation in maternal investment can be assessed primarily from variation in clutch characteristics. We examined maternal investment patterns in Macrochelys temminckii by measuring reproductive output of captive turtles exposed to similar conditions. Larger females tended to produce larger eggs by mass, but not diameter, and female size and within-clutch variation accounted for 68% of the total variation in egg size. The number of eggs per clutch did not correlate with female body size. Larger females exhibited greater total reproductive effort, however, because total clutch mass positively correlated with female size. Hatchling size increased with increasing egg size, but there was no relationship between female size and hatchling size. There was an effect of female identity on hatchling size independent of female size. Female body condition did not explain any of the variation in clutch, egg, or hatchling characteristics. Clutch size varied more than egg size and, after controlling for female size, we also found evidence of a negative correlation between clutch and egg size. These results indicate that M. temminckii primarily increase maternal investment by producing more eggs rather than bigger eggs. Finally, resource availability affected the number of eggs females produced, but the size of individual eggs might be more influenced by factors related to maternal identity.
Higher Order Organization of the mtDNA: Beyond Mitochondrial Transcription Factor A

The higher order organization of eukaryotic and prokaryotic genomes is pivotal in the regulation of gene expression. Specifically, chromatin accessibility in eukaryotes and nucleoid accessibility in bacteria are regulated by a cohort of proteins to alter gene expression in response to diverse physiological conditions. By contrast, prior studies have suggested that the mitochondrial genome (mtDNA) is coated solely by mitochondrial transcription factor A (TFAM), whose increased cellular concentration was proposed to be the major determinant of mtDNA packaging in the mitochondrial nucleoid. Nevertheless, recent analysis of DNase-seq and ATAC-seq experiments from multiple human and mouse samples suggest gradual increase in mtDNA occupancy during the course of embryonic development to generate a conserved footprinting pattern which correlate with sites that have low TFAM occupancy in vivo (ChIP-seq) and tend to adopt G-quadruplex structures. These findings, along with recent identification of mtDNA binding by known modulators of chromatin accessibility such as MOF, suggest that mtDNA higher order organization is generated by cross talk with the nuclear regulatory system, may have a role in mtDNA regulation, and is more complex than once thought.
Positive Emotions at Work and Job Crafting: Results From Two Prospective Studies

To date, research confirmed the effects of job crafting on the functioning of employees and organizations. In contrast, the evidence for the predictors of job crafting is limited. Based on broaden-and-build (B&B) theory, it may be assumed that high positive emotions at work would predict high job crafting behaviors at follow-ups. In line with social cognitive theory (SCT), it may be hypothesized that self-efficacy would mediate the relationship between positive emotions at work and following job crafting behaviors. The hypotheses were tested in a three-wave prospective study (Study 1, N = 124), with individual beliefs measured as the predictors. In a three-wave prospective Study 2 (N = 99), individual perceptions of collective flow at work and collective efficacy were assessed. Results of Studies 1 and 2 indicated that positive emotions at work predicted increasing structural resources, a job crafting dimension. Moreover, findings of Study 2 showed that collective flow at work predicted another job crafting dimension, i.e., increasing social resources. These results may inform good practices and help in designing individual- and team-level interventions enhancing job crafting behaviors.
Identification of Specific Tumor Markers in Vulvar Carcinoma Through Extensive Human Papillomavirus DNA Characterization Using Next Generation Sequencing Method.

OBJECTIVES A subset of vulvar carcinomas (VC) are associated with human papillomavirus (HPV) DNA. This trait can be used to identify tumor markers for patient's follow-up. A large diversity of HPV prevalence in VC has been reported, but no data are available concerning the insertional HPV status in this tumor type. Therefore, we have used an innovative next generation sequencing (NGS)-based CaptHPV method able to provide an extensive characterization of HPV DNA in tumors. MATERIAL AND METHODS Tumor tissue specimens from 55 patients with VC were analyzed using p16 immunohistochemistry, in situ hybridization, polymerase chain reaction, and CaptHPV-NGS assays. RESULTS Our analyses showed that 8 (14.5%) of 55 cases were associated with HPV 16 DNA. No other HPV genotypes were identified. The HPV genome was in a free episomal state only in one case and both episomal and integrated into the tumor cell genome in 7. There was a single insertion in 5 cases and multiple sites, scattered at different chromosomal loci in two. ISH data suggest that some of these might reflect tumor heterogeneity. Viral integration targeted cellular genes among which were TP63, CCDC148, LOC100133091, PKP1, and POLA2. Viral integration at the PKP1 locus was associated with partial gene deletion, and no PKP1 protein was detected in tumor tissue. CONCLUSIONS Using the NGS-based innovative capture-HPV approach, we established a cartography of HPV 16 DNA in 8 VC cases and identified novel genes targeted by integration that may be used as specific tumor markers. In addition, we established a rationale strategy for optimal characterization of HPV status in VC.
Synergistic effect of leptin and lipidized PrRP on metabolic pathways in ob/ob mice.

Lack of leptin production in ob/ob mice results in obesity and prediabetes that could be partly reversed by leptin supplementation. In the hypothalamus, leptin supports the production of prolactin-releasing peptide (PrRP), an anorexigenic neuropeptide synthesized and active in the brain. In our recent studies, the palmitoylated PrRP analog palm11-PrRP31 showed a central anorexigenic effect after peripheral administration. This study investigates, whether PrRP could compensate for the deficient leptin in ob/ob mice. In two separate experiments, palm11-PrRP31 (5 mg/kg) and leptin (5 or 10 μg/kg) were administered subcutaneously twice daily for 2 or 8 weeks to 8- (younger) or 16-(older) week-old ob/ob mice, respectively, either separately or in combination. The body weight decreasing effect of palm11-PrRP31 in both younger and older ob/ob mice was significantly powered by a subthreshold leptin dose, the combined effect could be then considered synergistic. Leptin and palm11-PrRP31 also synergistically lowered liver weight and blood glucose in younger ob/ob mice. Reduced liver weight was linked to decreased mRNA expression of lipogenic enzymes. In the hypothalamus of older ob/ob mice, two main leptin anorexigenic signaling pathways, namely, Janus kinase, signal transducer and activator of transcription-3 activation and AMP-activated protein kinase de-activation, were induced by leptin, palm11-PrRP31, and their combination. Thus, palm11-PrRP31 could partially compensate for leptin deficiency in ob/ob mice. In conclusion, the results demonstrate a synergistic effect of leptin and our lipidized palm11-PrRP31 analog.