Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between CSR and Corporate Strategy in Medium‐Sized Companies: Evidence from Italy

The paper responds to the recent calls for further evidence on corporate social responsibility (CSR) in small and medium‐sized enterprises (SMEs). Drawing on the extant literature, the authors identify four characteristics contended by academicians as peculiarities of SMEs’ approach to CSR: the intrinsic relationship between CSR and corporate strategy motivated by the need to continuously dialogue with stakeholders; the centrality of the entrepreneur's ethos in CSR decisions; the coexistence and the cross‐effect of economically instrumental and ethically motivated CSR policies; and the finalization of CSR initiatives to specific firm growth objectives. These four peculiarities are explored in the case of an Italian medium‐sized company operating in the furniture industry. The outcomes show how the four peculiarities are salient in analyzing the CSR approach by the company and suggest areas for further research aimed at developing a thorough theory of CSR in SMEs. In particular, we deepen the analysis of the nature of the uniqueness of medium‐sized companies’ approach to CSR, providing possible interpretations of the reasons making medium‐sized companies’ approach to CSR different from both small and large companies.
Wasserstein Continuity of Entropy and Outer Bounds for Interference Channels

It is shown that under suitable regularity conditions, differential entropy is O(√n)-Lipschitz as a function of probability distributions on Ilin with respect to the quadratic Wasserstein distance. Under similar conditions, (discrete) Shannon entropy is shown to be O(n)-Lipschitz in distributions over the product space with respect to Ornstein's d̅-distance (Wasserstein distance corresponding to the Hamming distance). These results together with Talagrand's and Marton's transportation-information inequalities allow one to replace the unknown multi-user interference with its independent identically distributed approximations. As an application, a new outer bound for the two-user Gaussian interference channel is proved, which, in particular, settles the missing corner point problem of Costa (1985).
Bile in the Esophagus: A Factor in the Pathogenesis of Reflux Esophagitis in Children

Objectives Bile reflux has been postulated to be an important factor contributing to gastroesophageal reflux disease in adults. The purpose of this study was to investigate its role in children. Methods Sixty-five children with symptoms of gastroesophageal reflux disease were classified on the basis of the endoscopic grade of reflux esophagitis: no esophagitis (n = 26), mild to moderate esophagitis (n = 26), and severe esophagitis (n = 13). Simultaneous 24-hour esophageal pH and bilirubin monitoring with Bilitec 2000 was performed. Results Both bile and acid reflux increased with the severity of esophagitis. The differences between all groups were significant for the percentage of total (P < 0.0005), upright (P < 0.05), and supine time (P < 0.0005) bilirubin absorbance ≥ 0.14, as well as for the percentage of total and supine time pH < 4, and DeMeester score (P < 0.0005). Combined pathologic acid and bile reflux was found in 11% of children with mild esophagitis and in 70% of children with severe esophagitis, while isolated bile reflux was found in 31% and 7.5%, respectively. Combined pH and bilirubin monitoring, compared with ph-monitoring alone, increased the sensitivity from 56% to 79%, and the accuracy from 69% to 83%. Conclusions Both bile and acid reflux increase stepwise with the severity of esophagitis. Combined acid and bile reflux is associated with severe esophagitis. Isolated acid or bile reflux is usually present in mild esophagitis. Simultaneous esophageal pH and bilirubin monitoring has a higher sensitivity, as well as predictive values and accuracy than ph monitoring alone.
NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization

Nonnegative matrix factorization (NMF) is a powerful matrix decomposition technique that approximates a nonnegative matrix by the product of two low-rank nonnegative matrix factors. It has been widely applied to signal processing, computer vision, and data mining. Traditional NMF solvers include the multiplicative update rule (MUR), the projected gradient method (PG), the projected nonnegative least squares (PNLS), and the active set method (AS). However, they suffer from one or some of the following three problems: slow convergence rate, numerical instability and nonconvergence. In this paper, we present a new efficient NeNMF solver to simultaneously overcome the aforementioned problems. It applies Nesterov's optimal gradient method to alternatively optimize one factor with another fixed. In particular, at each iteration round, the matrix factor is updated by using the PG method performed on a smartly chosen search point, where the step size is determined by the Lipschitz constant. Since NeNMF does not use the time consuming line search and converges optimally at rate in optimizing each matrix factor, it is superior to MUR and PG in terms of efficiency as well as approximation accuracy. Compared to PNLS and AS that suffer from numerical instability problem in the worst case, NeNMF overcomes this deficiency. In addition, NeNMF can be used to solve -norm, -norm and manifold regularized NMF with the optimal convergence rate. Numerical experiments on both synthetic and real-world datasets show the efficiency of NeNMF for NMF and its variants comparing to representative NMF solvers. Extensive experiments on document clustering suggest the effectiveness of NeNMF.
Measurement system of temperature, humidity and air pressure over 433 MHz radio frequency: An application on quadrotor

Gathering information of weather parameters such as temperature, humidity, and air pressure in a particular place and time as quickly and as possible are required to support other areas. However, sometimes geographical constraints such as the natural contours of the Indonesian archipelago with the ocean, mountains and hills can hamper collection this information. Therefore, we need a data collection system that can handle the problem without the influence of geographical constraints. One solution is the telemetry system. In this research, weather data acquisition system was designed with BMP180 sensor to collect air pressure data, DHT11 sensor to sense temperature and humidity data, and Arduino microcontroller used as data processing. Transmission system used 433 MHz RF module with 17 cm cable antenna as the sender and receiver of data. Data is displayed in a graph in server. So we get the data acquisition based on Graphical User Interface. Experiment results showed that the increase in temperature tends to be accompanied by a drop in air pressure, and vice versa. However, the air pressure data tend not affected to this changing the height of an area measured from sea level.
Implementation of a loss-of-function system to determine growth and stress-associated mutagenesis in Bacillus subtilis

A forward mutagenesis system based on the acquisition of mutations that inactivate the thymidylate synthase gene (TMS) and confer a trimethoprim resistant (Tmpr) phenotype was developed and utilized to study transcription-mediated mutagenesis (TMM). In addition to thyA, Bacillus subtilis possesses thyB, whose expression occurs under conditions of cell stress; therefore, we generated a thyB- thyA+ mutant strain. Tmpr colonies of this strain were produced with a spontaneous mutation frequency of ~1.4 × 10−9. Genetic disruption of the canonical mismatch (MMR) and guanine oxidized (GO) repair pathways increased the Tmpr frequency of mutation by ~2–3 orders of magnitude. A wide spectrum of base substitutions as well as insertion and deletions in the ORF of thyA were found to confer a Tmpr phenotype. Stationary-phase-associated mutagenesis (SPM) assays revealed that colonies with a Tmpr phenotype, accumulated over a period of ten days with a frequency of ~ 60 ×10−7. The Tmpr system was further modified to study TMM by constructing a ΔthyA ΔthyB strain carrying an IPTG-inducible Pspac-thyA cassette. In conditions of transcriptional induction of thyA, the generation of Tmpr colonies increased ~3-fold compared to conditions of transcriptional repression. Further, the Mfd and GreA factors were necessary for the generation of Tmpr colonies in the presence of IPTG in B. subtilis. Because GreA and Mfd facilitate transcription-coupled repair, our results suggest that TMM is a mechanim to produce genetic diversity in highly transcribed regions in growth-limited B. subtilis cells.
De novo acute myeloid leukemia subtype-M4 with initial trisomy 8 and later acquired t(3;12)(q26;p12) leading to ETV6/MDS1/EVI1 fusion transcript expression: A case report

The t(3;12)(q26;p13) translocation is a recurrent chromosomal aberration observed in myeloid malignancies. The translocation results in the generation of the ETV6/myelodysplastic syndrome 1 (MDS1)/ectopic viral integration site 1 (EVI1) fusion gene. However, the present case report is the first to present this rearrangement in acute myelogeneous leukemia (AML)-M4. Notably, this case is the first report of AML-M4 with an initial trisomy 8 and secondary acquired t(3;12)(q26;p13). Cells harboring the t(3;12) translocation were found to exhibit a higher proliferative capacity than cells with pure trisomy 8, which is consistent with the role of the ETV6/MDS1/EVI1 fusion transcript in the development and progression of malignancy.
Intensive Reasoning Training Alters Patterns of Brain Connectivity at Rest

Patterns of correlated activity among brain regions reflect functionally relevant networks that are widely assumed to be stable over time. We hypothesized that if these correlations reflect the prior history of coactivation of brain regions, then a marked shift in cognition could alter the strength of coupling between these regions. We sought to test whether intensive reasoning training in humans would result in tighter coupling among regions in the lateral frontoparietal network, as measured with resting-state fMRI (rs-fMRI). Rather than designing an artificial training program, we studied individuals who were preparing for a standardized test that places heavy demands on relational reasoning, the Law School Admissions Test (LSAT). LSAT questions require test takers to group or sequence items according to a set of complex rules. We recruited young adults who were enrolled in an LSAT course that offers 70 h of reasoning instruction (n = 25), and age- and IQ-matched controls intending to take the LSAT in the future (n = 24). rs-fMRI data were collected for all subjects during two scanning sessions separated by 90 d. An analysis of pairwise correlations between brain regions implicated in reasoning showed that fronto-parietal connections were strengthened, along with parietal-striatal connections. These findings provide strong evidence for neural plasticity at the level of large-scale networks supporting high-level cognition.
Postural control: learning to balance and responses to mechanical and sensory perturbations

The purpose of the current research was to examine how a novel balance task is learnt by individuals with a mature neurological system, and to investigate the responses of experienced hand balancers to mechanical and sensory perturbations. Balance in each posture was assessed by various techniques, including: traditional measures of centre of pressure, nonlinear time series analysis of centre of pressure, estimates of feedback time delay from cross correlations and delayed regression models, and calculation of small, medium, and large movement corrections. Data from this study suggests that the best balance metric for distinguishing between each of the balance conditions was the traditional balance measure of sway velocity. However, sway velocity cannot provide any further information on the underlying process of balance. Nonlinear measures of balance offer insight into the underlying deterministic processes that control balance, offering measures of system determinism, complexity, and predictability. Assessments of feedback time delay and movement corrections provide both an insight into the control of posture and help distinguish one condition from another. Both feedback time delay and movement corrections and magnitudes may be used simultaneously to delve further into the control of posture. Delayed regression models seem to be an appropriate and useful tool for estimating feedback time delays during balance. Findings support the use of the third term in the adapted regression model as a means of estimating the effect of passive stiffness on feedback time delay. Generally, with increased duration in handstand subjects displayed reduced sway as measured by traditional measures of balance. A more marked change in nonlinear measures of balance can be seen, with quicker reductions in variance for some nonlinear measures of balance than in the traditional measures. It may be that more pronounced changes in nonlinear measures represent changes in the subjects underlying process of postural control, whereas less pronounced changes in traditional measures relate more to their general ability or performance in the balance task.
An improved slope one algorithm based on tag frequency

Technology of Collaborative filtering algorithm recommends items to the target user with information of other users who have similar tastes with the target user. The basic Slope One collaborative filtering algorithm simply uses the linear regression model to predict the ratings of items. Based on the Slope One scheme, an improved algorithm considering the frequency of items' tags information is proposed in this paper. Firstly, the tag frequency of rated items is chosen to represent the vector of the target user's preference. After that, the similarity between rated items and unrated one is calculated and according to it, the unrated items' rating can be predicted. Experiments on MovieLens dataset show that the proposed approach gives better prediction accuracy.
Measuring Reuse in an Object Oriented Process

This paper presents a number of results about reuse in a real life project. The project, called AEFTA, develops a factory automation application (a FMS cell controller) using commercially available tools: DEC BASEstar Open a shop-floor distributed system for application integration; and SYCO G++ an object-oriented environment with a large library of C++ classes (data structures, GUI building, concurrency and distribution) and a set of integrated CASE tools to support a smooth transition from analysis to design, implementation and distribution. The figures from reuse are very high but they have to be balanced with the effort for familiarizing with the class libraries and the required experience of the staff. The European Commission, DGIII/F funded, under contract ESSI 10070, the AEFTA project.
Torc: towards an open-source tool flow

We present and describe Torc - (Tools for Open Reconfigurable Computing) - an open-source infrastructure and tool set, provided entirely as C++ source code and available at http://torc.isi. edu. Torc is suitable for custom research applications, for CAD tool development, and for architecture exploration. The Torc infrastructure can (1) read, write, and manipulate generic netlists - currently EDIF, (2) read, write, and manipulate physical netlists - currently XDL, and indirectly NCD, (3) provide exhaustive wiring and logic information for commercial devices, and (4) read, write, and manipulate bitstream packets (but not configuration frame contents). Torc furthermore provides routing and unpacking tools for full or partial designs, soon to be augmented with BLIF support, and with packing and placing tools. The architectural data for Xilinx devices is generated from non-proprietary XDLRC files, and currently supports 140 devices in 11 families: Virtex, Virtex-E, Virtex-II, Virtex-II Pro, Virtex4, Virtex5, Virtex6, Virtex6L, Spartan3E, Spartan6, and Spartan6L. We believe that Altera architectures and designs could be similarly supported if the necessary data were available, and we have successfully used Torc internally with custom architectures.
Honokiol induces apoptosis through p53-independent pathway in human colorectal cell line RKO.

AIM To investigate the signal pathway of honokiol-induced apoptosis on human colorectal carcinoma RKO cells and to evaluate whether p53 and p53-related genes were involved in honokiol-treated RKO cells. METHODS Cell cycle distribution and subdiploid peak were analyzed with a flow cytometer and DNA fragment with electrophoresis on agarose gels. Transcriptional level of Bax, Bcl-2, Bid and Bcl-xl was accessed by RT-PCR. Western blotting was used to measure p53 protein expression and other factors related to apoptosis. Proliferation inhibition of two cell lines (RKO, SW480) with high expression of p53 and one cell line with p53 negative expression (LS180) was monitored by MTT assay. RESULTS Honokiol induced RKO cell apoptosis in a dose-dependent manner. The mRNA expression level and protein level of Bid were up-regulated while that of Bcl-xl was down-regulated, but no changes in Bax and Bcl-2 were observed. Western blotting showed p53 expression had no remarkable changes in honokiol-induced RKO cell apoptosis. LS180 cells treated with honokiol exhibited apparent growth inhibition like RKO cells and Sw480 cells. CONCLUSION Honokiol can induce RKO cells apoptosis through activating caspase cascade by p53-indepenent pathway.
PF-ETL : vers l'intégration de données massives dans les fonctionnalités d'ETL

ETL process (Extracting, Transforming, Loading) is responsible for extracting data from heterogeneous sources, transforming and finally loading them into a data warehouse. New technologies, particularly Internet and Web 2.0, generating data at an increasing rate, put the information systems (IS) face to the challenge of Big Data. These data are characterized by, in addition to their excessive sizes and speed with which they are generated, greater heterogeneity due to the emergence of new data structures. Integration systems and ETL in particular should be revisited and adapted to cope with the impact of Big Data. In this context and to better manage the integration of Big data, we propose a new approach to ETL process for which we define features that can be run easily on a cluster with MapReduce (MR) model. MOTS-CLES : ETL, Donnees massives, Entrepots de donnees, MapReduce, Cluster
Overview of the Epigenetics and Post-translational Modifications (EPI) task of BioNLP Shared Task 2011

This paper presents the preparation, resources, results and analysis of the Epigenetics and Post-translational Modifications (EPI) task, a main task of the BioNLP Shared Task 2011. The task concerns the extraction of detailed representations of 14 protein and DNA modification events, the catalysis of these reactions, and the identification of instances of negated or speculatively stated event instances. Seven teams submitted final results to the EPI task in the shared task, with the highest-performing system achieving 53% F-score in the full task and 69% F-score in the extraction of a simplified set of core event arguments.
A curvature-corrected CMOS bandgap reference

Abstract. This paper presents a CMOS bandgap reference that employs a curvature correction technique for compensating the nonlinear voltage temperature dependence of a diode connected BJT. The proposed circuit cancels the first and the second order terms in the V BE (T ) expansion by using the current of an autopolarizedWidlar source and a small correction current generated by a MOSFET biased in weak inversion. The voltage reference has been fabricated in a 0.35 µ m 3Metal/2Poly CMOS technology and the chip area is approximately 70 µ m × 110 µ m. The measured temperature coefficient is about 10.5 ppm/K over a temperature range of 10– 90°C while the power consumption is less than 1.4mW.
Phylogenetic Differentiation of Two Closely RelatedNitrosomonas spp. That Inhabit Different Sediment Environments in an Oligotrophic Freshwater Lake

ABSTRACT The population of ammonia-oxidizing bacteria in a temperate oligotrophic freshwater lake was analyzed by recovering 16S ribosomal DNA (rDNA) from lakewater and sediment samples taken throughout a seasonal cycle. Nitrosospira and Nitrosomonas16S rRNA genes were amplified in a nested PCR, and the identity of the products was confirmed by oligonucleotide hybridization.Nitrosospira DNA was readily identified in all samples, and nitrosomonad DNA of the Nitrosomonas europaea-Nitrosomonas eutropha lineage was also directly detected, but during the summer months only. Phylogenetic delineation with partial (345 bp) 16S rRNA gene sequences of clones obtained from sediments confirmed the fidelity of the amplified nitrosomonad DNA and identified two sequence clusters closely related to either N. europaea or N. eutropha that were equated with the littoral and profundal sediment sites, respectively. Determination of 701-bp sequences for 16S rDNA clones representing each cluster confirmed this delineation. A PCR-restriction fragment length polymorphism (RFLP) system was developed that enabled identification of clones containing N. europaea and N. eutropha 16S rDNA sequences, including subclasses therein. It proved possible to analyze 16S rDNA amplified directly from sediment samples to determine the relative abundance of each species compared with that of the other. N. europaea and N. eutropha are very closely related, and direct evidence for their presence in lake systems is limited. The correlation of each species with a distinct spatial location in sediment is an unusual example of niche adaptation by two genotypically similar bacteria. Their occurrence and relative distribution can now be routinely monitored in relation to environmental variation by the application of PCR-RFLP analysis.
JRC-NAMES: A Freely Available, Highly Multilingual Named Entity Resource

This paper describes a new, freely available, highly multilingual named entity resource for person and organisation names that has been compiled over seven years of large-scale multilingual news analysis combined with Wikipedia mining, resulting in 205,000 person and organisation names plus about the same number of spelling variants written in over 20 different scripts and in many more languages. This resource, produced as part of the Europe Media Monitor activity (EMM, http://emm.newsbrief.eu/overview.html), can be used for a number of purposes. These include improving name search in databases or on the internet, seeding machine learning systems to learn named entity recognition rules, improve machine translation results, and more. We describe here how this resource was created; we give statistics on its current size; we address the issue of morphological inflection; and we give details regarding its functionality. Updates to this resource will be made available daily.
QoE-Based Interworking Call Admission, Handoff, and Packet Scheduling System for Multimedia Streaming Services over LTE Network

This work presents a QoE-based interworking call admission, handoff, and packet scheduling system to provide a seamless multimedia streaming services over LTE network. First, QoE metrics are defined based on the amount of buffered frames at the video decoder buffer. Based on these QoE metrics, the proposed call admission algorithm estimates the cell idleness at the next call arriving time to determine the admission of a new UE and the proposed handoff algorithm determines the appropriate handoff trigger timing to keep a balance of the QoE satisfaction levels among immediately adjacent cells. The proposed packet scheduling algorithm has designed in consideration of both the QoE satisfaction levels and the wireless link states of all admitted UEs. Finally, experimental results indicate that the proposed interworking system improves the QoE satisfaction levels of all admitted UEs and overall network utilization better than other existing methods.