Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic Competitive Behavior of Enterprises in Multi-Network: Evidence from Chinese Animation Industry

In this study, we try to reveal the mechanism of the enterprise competitive strategies embedded in multi-network as the intermediary role between the three kinds network relationships and performance, in order to answer such question: what kind of network relationships can enterprise relies on and choose a speculate competitive strategies for sustainable development? This research chose the Chinese animation enterprises as samples. We collect data from questionnaires to Guangzhou Animation Association and such an opportunity of the 2014 Guangzhou International Cartoon Festival (2014CICF) and testified the mediation effects of three competitive strategies between different dimensions of networks and firm performance. Results of this study indicated the mediating role of the three kinds of competitive strategies between the multiple network connection and performance. 1) Confrontation strategy has a mediating impact between inner-industry network and performance, so as between cross-industry network and performance. 2) Barrier strategy has played a mediating role between inner-industry network and performance, so as between government-relation network and performance. But barrier strategy fails to play roles between the cross-industry network and performance. 3) Symbiosis strategy has played an incomplete mediating role on the relationship between inner-industry network and performance, so as between government-relation network and performance. This study introduced the context of the dynamic competitors to promote the development of dynamic competition theory. Adopting the perspective of multi-network to the study of the dynamic competitive strategy in this paper is put forward to fill the gap between the dynamic competitive behavior and the corporate strategy.
Filtering Security Mechanism for Digital Communication

Many digital systems handle data that is either public or private depending on its sensitivity level. In these systems it is important that sensitive data is not lost or exposed to the public domain, even if parts of the system has been compromised with malicious code. In the military domain it is common for systems to be divided into different information zones based on the confidentiality of the data that the subsystem handles. In some cases these subsystems need to exchange data with each other. Therefore, it is important that sensitive data is not lost or exposed to lower classification levels, even if one unit has been compromised by malicious code. As of today and to our knowledge, no device that can control this information flow for serial communication in common protocols like RS232, RS422, RS485, and CAN exists. This thesis proposes a device that could be placed between two information zones in order to ensure that classified data is not exposed to lower classification levels. The software is developed in SPARK and acts as an Intrusion Prevention System. It is based on the latest research within the area of anomaly detection. This thesis includes how such a device should be designed, developed, certified, and integrated in order to meet requirements from the military. Finally, the device is tested and evaluated with respect to both performance and security.
AN ENHANCED FIREFLY ALGORITHM FOR MIXED VARIABLE STRUCTURAL OPTIMIZATION PROBLEMS

The recently developed firefly algorithm has become one of the prominent population-based metaheuristics due to its efficiency in solving a wide range of diverse real-world problems. In this paper an enhanced firefly algorithm to solve mixed variable structural optimization problems is presented. Two modifications related with the constraint handling method based on Deb's rules and the geometric progression reduction scheme mechanism are introduced in order to improve its performance in the constrained search space. The proposed algorithm is tested on four classical structural optimization problems taken from literature. The obtained results show that the proposed approach was very competitive in the considered problems, mostly outperforming the original firefly algorithm.
Luminosity-independent measurements of total, elastic and inelastic cross-sections at

The TOTEM experiment at the LHC has performed the first luminosity-independent determination of the total proton-proton cross-section at . This technique is based on the optical theorem and requires simultaneous measurements of the inelastic rate – accomplished with the forward charged-particle telescopes T1 and T2 in the range 3.1 < |η| < 6.5 – and of the elastic rate by detecting the outcoming protons with Roman Pot detectors. The data presented here were collected in a dedicated run in 2011 with special beam optics (β* = 90 m) and Roman Pots approaching the beam close enough to register elastic events with squared four-momentum transfers |t| as low as 5·10−3 GeV2. The luminosity-independent results for the elastic, inelastic and total cross-sections are σel = (25.1 ± 1.1) mb, σinel = (72.9 ± 1.5) mb and σtot = (98.0 ± 2.5) mb, respectively. At the same time this method yields the integrated luminosity, in agreement with measurements by CMS. TOTEM has also determined the total cross-section in two complementary ways, both using the CMS luminosity measurement as an input. The first method sums the elastic and inelastic cross-sections and thus does not depend on the ρ parameter. The second applies the optical theorem to the elastic-scattering measurements only and therefore is free of the T1 and T2 measurement uncertainties. The methods, having very different systematic dependences, give results in excellent agreement. Moreover, the ρ-independent measurement makes a first estimate for the ρ parameter at possible: |ρ| = 0.145 ± 0.091.
Effect of Purple Glutinous rice bran supplementation on performance, oxidative status and lipid oxidation in broiler

This study investigated the effect of purple glutinous rice bran (PRB) supplementation on performance, oxidative status and lipid oxidation in broiler. Two hundred male day old broiler chickens were randomly assigned to 5 groups of 40 birds each. Each treatment, fed the basal corn-soybean diets containing 0%, 3%, 6%, 9% and 12% of purple glutinous rice bran (PRB). Diets were formulated separately for starter and finisher phases (day 0 to 21 and day 22 to 42). Oxygen radical absorbance capacity (ORAC) in PRB supplemented groups were higher than rice bran group and depend on the supplement dose of PRB. PRB supplementation (6%, 9% and 12%) increased (P less than 0.05) weight gain (WG), average daily gain (ADG) and decreased (p less than 0.05) feed conversion ratio (FCR) compared to control group. Malondialdehyde (MDA) levels in serum from the PRB groups were lower than control group (P less than 0.05). Glutathione (GSH) levels in serum of PRB groups (6%, 9% and 12% PRB) were higher than control group (P less than 0.05). However, there were no difference between 3% PRB and control groups. No difference of lipid oxidation in breast meat after storage between PRB supplemented groups with control group (P>0.05). This study indicated that PRB supplementation in diet had positive effects on performance and oxidative status of broiler chickens but had no effect on lipid oxidation in breast meat storage
The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs

This study compares the predictive validity of single-item and multiple-item measures of attitude toward the ad (AAd) and attitude toward the brand (ABrand), which are two of the most widely measured constructs in marketing. The authors assess the ability of AAd to predict ABrand in copy tests of four print advertisements for diverse new products. There is no difference in the predictive validity of the multiple-item and single-item measures. The authors conclude that for the many constructs in marketing that consist of a concrete singular object and a concrete attribute, such as AAd or ABrand, single-item measures should be used.
The 'Gateway Belief' Illusion: Reanalyzing the Results of a Scientific-consensus Messaging Study

This paper analyzes data collected but not reported in the study featured in van der Linden, Leiserowitz, Feinberg, and Maibach (2015). VLFM report finding that a “scientific consensus” message “increased” experiment subjects’ “key beliefs about climate change” and “in turn” their “support for public action” to mitigate it. However, VLFM failed to compare the responses of message-exposed subjects to those of control-group subjects exposed only to “distractor” news stories unrelated to climate change. After being told that “97% of climate scientists have concluded that human-caused climate change is happening,” the former did indeed increase their own estimates of “the percentage of scientists [who] have concluded that human-caused climate change is happening. ” But the degree to which they thereafter “increased” their expressed levels of belief in global warming and support for mitigation did not vary significantly, in statistical or practical terms, from the degree to which the control-group subjects increased theirs. The median and modal changes in the 101-point scales used to measure these “increases” was in fact zero for both groups. Bayesian statistical analysis confirms the data were many times more consistent with the inference that being exposed to a consensus message had no impact on either belief in climate change or support for mitigating it than with the inference that the message had any impact on these outcomes. In addition to reporting the responses of the control-group subjects, the paper shows how the absence of an experimental effect was obscured by VLFM’s use of a misspecified structural equation model. Other discrepancies between the data and VLFM’s characterizations of them, including ones relating to the impact of the experimental treatment on subjects of opposing political outlooks, are also identified.
Territorial Knowledge Dynamics: From the Proximity Paradigm to Multi-location Milieus

This paper addresses the issue of updating a research agenda about territorial innovation models (TIMs) such as innovative milieus, industrial districts, regional innovation systems, etc. The theoretical shift from innovation studies to the knowledge economy is taken into account by the suggested concept of territorial knowledge dynamics (TKDs). Observable major changes within society are also integrated, especially the huge increase in the mobility of production factors. The thesis developed is that the learning processes in TIMs were mainly cumulative knowledge dynamics that varies according to the scale of the region (the traditional local/global framework), whereas today's combinatorial knowledge dynamics develop in multi-location and multi-scalar ways. Knowledge circulates to a greater extent and is continuously mobilized and combined within interacting firms and regions. In this paper, ideal typical forms of TKDs are formulated from three research perspectives: a relational approach, a circulatory approach and a structuralist approach. This paper presents the theoretical background used by the European research project “EURODITE” on these specific issues.
The Orthopaedic Rehabilitation of balance: An experimental study on the role of mental imagery and emotional variables

Mental Imagery (i.e., processing of objects’ properties and spatial relations, including the ability of mentally rotating and manipulating objects in the space), is relevant for movement and its development, and particularly for rehabilitation of motor skills. Few studies aimed at assessing the efficacy of imagery training used objective scores of Mental Imagery skills, preferring self-evaluations of these abilities reported by the subjects themselves. The aim of the paper was to explore the relevance of Mental Imagery, assessed by objective tests, in predicting the improvement of balance skills, after a standard rehabilitative training in orthopaedic settings; taking into account also emotional variables as anxiety and depression. A controlled study was conducted assessing the changes in balance skills after rehabilitative training. The sample was composed of 30 orthopaedic inpatients (females 66.7%, age range 47-91 years). To measure the dependent variable for pre-post assessment, B-scale from Performance-oriented mobility assessment test (POMA) was used. Independent variables were measured using Mental Imagery Test , Mini-Mental State Examination , Hamilton Depression Rating Scale and Hamilton Anxiety Rating Scales. The best predictor of improvement in balance after rehabilitation is the Mental Imagery test, followed by age and mental efficiency. Anxiety predicts negatively the improvement, while education and depression appear to influence less the rehabilitation process. In conclusion, the study demonstrates that mental imagery is relevant in helping balance rehabilitation. A training of this function could be essential for clinical practice; the trainers should assess preliminarily the subject's attitude and ability to use mental im agery, with the aim of optimizing the rehabilitative process.
ATLAS searches for resonances decaying to boson pairs

Many extensions to the Standard Model predict new particles decaying into two bosons (W , Z , photon, or Higgs bosons) making these important signatures in the search for new physics. Searches for such diboson resonances have been performed in final states with different numbers of leptons, photons, jets and b -jets where new jet substructure techniques to disentangle the hadronic decay products in highly boosted configuration are being used. This document summarizes recent ATLAS searches for resonances decaying to diboson final states, VV , VH and HH with LHC Run 2 data collected.
The effect of the geometry aspect ratio on the silicon ellipse-shaped surrounding- gate field-effect transistor and circuit

The silicon (Si) surrounding-gate metal-oxide-semiconductor field-effect transistor (MOSFET) has ultimate gate structures and is a potential candidate for use in next-generation high-performance nano-devices. However, because of limitations of the fabrication process, theoretically ideally round shape of the surrounding gate may not always guarantee. These limitations may lead to the formation of an ellipse-shaped surrounding gate with major (a) and minor (b) axes of different lengths. In this study, the effect of the geometry aspect ratio, a/b, on the dc and ac characteristics of the 16 nm gate ellipse-shaped surrounding-gate MOSFETs and circuits is examined by using a three-dimensional coupled device-circuit simulation technique. The dependences of electrical characteristics on the geometry aspect ratio are evaluated with reference to various device characteristics and the circuit properties, including the circuit gain, the 3 dB bandwidth, the unity-gain bandwidth, the rise/fall time and the delay time. In analog circuits, the device with an aspect ratio of less than 1 is promising because the short-channel effect is suppressed. However, for a digital circuit configuration, the transient response of the circuit relies on the charge/discharge capability of the transistor. Thus, a device with a large aspect ratio, such as 2, will be more suitable for digital applications.
One simple and efficient technical method of total RNA extraction

RNA extraction technology is essential for molecular biology research. Targeting at microRNA or long non-coding RNA to diagnose or estimate the prognosis of various tumors are widely proceed. The fundamental step of such research is isolating high quality RNA of cells. Unfortunately, ribonucleases (RNases) that exist in almost all cells are responsible for the degradation of RNA, which results in concentrations of RNA not being able to meet experiment requirements, especially under the circumstance of raw material shortage. This means it is of great significance to isolate high concentrations of cells' or tissues' RNA. Also the traditional method of eliminating ethanol consumes too much time. Hence, a simple and efficient method was utilized during our research, which can not only produce total RNA of better quality, but also save RNA extraction time. One simple and efficient technical method of total RNA extraction
Antecedents and current situation of humanistic management

Humanistic management is generally presented as an alternative perspective to the economic paradigm in management and organisational theories. We find both humanism and economicism in the first stages of modern management, and they still persist at the beginning of the 21 st century. This paper reviews the antecedents and current situation of humanistic management. Although economicism is still dominant, it has received severe criticism and several management approaches discussed here can contribute to further development of humanistic management. These include person-organisation fit, peoples′ involvement in organisations, the consideration of business as a human community, comprehensive approaches to decision-making, stakeholder management, values-based management, as well as ethics and corporate responsibility in management, personal competencies and positive organisational scholarship.
On coherent immediate prediction: connecting two theories of imprecise probability

We give an overview of two approaches to probabiliity theory where lower and upper probabilities, rather than probabilities, are used: Walley's behavioural theory of imprecise probabilities, and Shafer and Vovk's game-theoretic account of probability. We show that the two theories are more closely related than would be suspected at first sight, and we establish a correspondence between them that (i) has an interesting interpretation, and (ii) allows us to freely import results from one theory into the other. Our approach leads to an account of immediate prediction in the framework of Walley's theory, and we prove an interesting and quite general version of the weak law of large numbers.
Lobbying na Regulação Contábil: Evidências do Setor Petrolífero* Lobbying on Accounting Regulation: Evidence from the Oil Industry

This work aims to identify the determining factors in the submission of comment letters to the International Accounting Standards Board (IASB) on the discussion paper Extractive Activities as a lobbying strategy in the context of accounting regulation. The results show that size is a determining factor in all models used, indicating that large oil companies are more likely to lobby. This tendency is especially evident for companies that are predominantly opposed to the IASB proposals, which suggests that the IASB’s review/replacement of International Financial Reporting Standards 6 (IFRS 6) will be a complex process subject to pressure from oil companies to maintain the status quo.
brain structures segmentation in magnetic resonance imaging

Background and objectives: Automatic brain structures segmentation in magnetic resonance images has been widely investigated in recent years with the goal of helping diagnosis and patient follow-up in different brain diseases. Here, we present a review of the state-of-the-art of automatic methods available in the literature ranging from structure specific segmentation methods to whole brain parcellation approaches. Methods: We divide first the algorithms according to their target structures and then we propose a general classification based on their segmentation strategy, which includes atlas-based, learning-based, deformable, region-based and hybrid methods. We further discuss each categorys strengths and weaknesses and analyze its performance in segmenting different brain structures providing a qualitative and quantitative comparison. Results: We compare the results of the analyzed works for the following brain structures: hippocampus, thalamus, caudate nucleus, putamen, pallidum, amygdala, accumbens, lateral ventricles, and brainstem. The structures on which more works have focused on are the hippocampus and the caudate nucleus. In general, the accumbens (0.69 mean DSC) is the most difficult structure to segment whereas the structures that seem to get the best results are the brainstem, closely followed by the thalamus and the putamen with 0.88, 0.87 and 0.86 mean DSC, respectively. Atlas-based approaches achieve good results when segmenting the hippocampus (DSC between 0.75 0.90), thalamus (0.88 0.92) and lateral ventricles (0.83 0.93), while deformable methods perform good for caudate nucleus (0.84 0.91) and putamen segmentation (0.86 0.89). Conclusions: There is not yet a single automatic segmentation approach that can emerge as a standard for the clinical practice, providing accurate brain structures segmentation. Future trends need to focus on combining multiatlas methods with learning-based or deformable approaches. Employing atlases to provide spatial robustness and modeling the structures appearance with supervised classifiers or Active Appearance Models could lead to improved segmentation results.
A topographic index approach for identifying groundwater habitat of young-of-year brook trout (Salvelinus fontinalis) in the land-lake ecotone

We used a topographic index (TI) approach to link the presence of young-of-year (YOY) brook trout (Salvelinus fontinalis) at groundwater seepage and stream sites in the landlake ecotone with subwatershed topography surrounding a set of 21 lakes in Algonquin Provincial Park, Ontario. A lakeshore site's TI value was positively related to the temperature difference between the substrate and lake surface, indicating higher TI values were associated with greater groundwater input. YOY brook trout tended to occupy lakeshore sites with relatively large TI values. Groundwater habitat available to YOY brook trout was relatively rare, with only a few sites used consistently on an annual basis. Larger lakes had fewer groundwater habitat sites per unit length of shoreline than smaller lakes. Logistic regression analysis and model selection (via Akaike's Information Criterion) indicated the odds of finding YOY brook trout increased significantly when a site was a stream and, in the summer, when there was a large diff.
Temporal variability of chlorophyll distribution in the Gulf of Mexico: bio-optical data from profiling floats

Chlorophyll concentration is a key oceanic biogeochemical variable. In the Gulf of Mexico (GOM), its distribution, which is mainly obtained from satellite surface observations and scarce in situ experiments, is still poorly understood. In 2011–2012, eight profiling floats equipped with biogeochemical sensors were deployed for the first time in the GOM and generated an unprecedented dataset that significantly increased the number of chlorophyll vertical distribution measurements in the region. The analysis of these data, once calibrated, permits us to reconsider the spatial and temporal variability of the chlorophyll concentration in the water column. At a seasonal scale, results confirm the surface signal seen by satellites, presenting maximum concentrations in winter and low values in summer. It is shown that the deepening of the mixed layer is the primary factor triggering the chlorophyll surface increase in winter. In the GOM, a possible interpretation is that this surface increase corresponds to a biomass increase. However, the present dataset suggests that the basin-scale climatological surface increase in chlorophyll content results from a vertical redistribution of subsurface chlorophyll and/or photoacclimation processes, rather than a net increase of biomass. One plausible explanation for this is the decoupling between the mixed-layer depth and the deep nutrient reservoir since mixed-layer depth only reaches the nitracline in sporadic events in the observations. Float measurements also provide evidence that the depth and the magnitude of the deep chlorophyll maximum is strongly controlled by the mesoscale variability, with higher chlorophyll biomass generally observed in cyclones rather than anticyclones.