Miracle-dz/UniFAR-FTUs huggingface dataset:
Cloud manufacturing analysis based on ontology mapping and multi agent systems

Manufacturing through the use of cloud computing has been further extended using cloud manufacturing technology. According to the literature, the benefits of this approach include transparency, cost-efficiency, sharing of resources and the scalability of production. A multi-agent system-informed ontology used in manufacturing environments facilitates knowledge storage, inference and retrieval especially for the case of distributed resources. Based on service-oriented thinking, a cloud manufacturing OWL-S ontology model is proposed. Ontology mapping and an inference engine will be used to complete service request, publishing and binding processes. A new cloud-oriented manufacturing service OWL-S ontology would provide an extension to the Web framework, which introduces a semantic description of manufacturing services. This is for the cloud to build upon theoretical foundations and comply with standards. Manufacturing services are built in with a cloud-based negotiation mechanism using agent division, cooperation, competition and negotiation to achieve dynamic cloud manufacturing services' aggregation and running. ANALYSIS is a complex, non-linear, large cloud dynamic system for manufacturing. It is a cloud-based agent model represented in IDEF0 view, and functions on the basis of analysis of the mode of operation. Cloud services are adaptable to clients' needs, and these may include various stages of a product lifestyle, including product design, manufacturing, testing and management.
Simulation and analysis of multipath propagation characteristics for UWB in the indoor radio channels based on SBR/IM

In this paper, the propagation characteristics of UWB (Ultra-wideband) signal in the indoor radio channels are discussed based on the method of SBR/IM (Shooting and bouncing ray tracing/image). Propagation characteristics are analyzed by considering of multipath propagation mechanisms including direct ray, reflection and transmission. A good agreement is achieved between the measured results and simulated results, so the correctness of the SBR/IM method has been validated. Some channel propagation characteristic parameters of UWB are discussed in the simulated results, such as values of the path loss, the distribution of the received power, the time-domain electric field intensity. Also, path loss exponent is deduced from the simulated results. The analysis of the above results may be provide the theoretical basis for wireless communication network coverage and optimization of UWB signal in the complex environment of indoor.
Generation of a conditional null allele of Lbx1

The homeobox gene Lbx1 not only plays critical roles in myogenesis and neurogenesis during embryonic development but is also expressed in activated satellite cells of adult mice. To address the potential postnatal functions of Lbx1, we generated conditional Lbx1‐null mice using the Cre‐loxP system. We generated a mouse in which Exon 2 of Lbx1 was floxed (Lbx1flox/flox), followed by cross‐breeding between the Lbx1flox/flox mouse and either a transgenic mouse where a tamoxifen‐inducible Cre‐recombinase (Cre) was ubiquitously expressed, or a Myf5Cre mouse where Cre was inserted into the Myf5 locus. In both Lbx1‐null mouse lines generated, Pax3‐expressing limb muscle precursor cells were seriously reduced during embryonic development and eventually the limb extensor muscles were lost after birth. Since the conditional Lbx1‐null mice generated were viable for a prolonged time, they will be useful in the investigation of Lbx1 function throughout the lifespan of the mouse. genesis 49:803–810, 2011. © 2011 Wiley‐Liss, Inc.
Engaging with complexity in a public programme implementation

ABSTRACT The heuristic device of a complexity-based lens is applied to the local implementation of a public programme to understand the possible misalignment of its outcomes with the central planners’ goals. The authors supersede the dominant use in complexity theory of simplifying or ambiguous metaphors to focus, instead, on the core concepts of emergence, co-evolution, and self-organization. The paper reinterprets extant literature and analyses an exemplary case, concluding that policy implementation must be approached pragmatically as a self-organizing system and that the public managers need to strategically engage with complexity in a manner that is consistent with such a pragmatic understanding.
Cooperation stability: A representative sample in the lab

The ability to cooperate is a central condition for human prosperity, yet a trend of declining cooperation is one of the most robust observations in behavioral economics. The massive replication of declining cooperation has almost exclusively been carried out in student populations, which opens up for the question of whether the declining cooperation is predictive for the population at large. I make two steps to address this knowledge gap about cooperation stability in the general population. First, I measure repeated cooperation among students and a representative sample. Among the students, I confirm the usual decay effect of cooperation. However, among the non-students, the behavior is hugely different and approaches no decay. Secondly, I stress test the cooperation stability among non-students by manipulating the composition of preferences so that fast decay and no decay are predicted. I observe that the cooperation stability is remarkably unaffected by this manipulation.
Short-term contrarian and sentiment by traders’ types on futures markets

Purpose The purpose of this paper is to investigate whether the interaction between sentiments and past prices can lead to higher abnormal profit in futures markets. Such examinations allow the authors to relate the paper to the debate that focuses on examining the behavior of different types of traders in futures market, and who among these traders destabilize the markets. Design/methodology/approach First, the authors develop new dynamic strategies in US futures market that combine sentiment by type of traders based on trader position provided by the Disaggregated Commitments of Traders with short-term contrarian signals. Next, the authors adjust the abnormal profits to the CAPM model and Miffre and Rallis’s (2007) model. Finally, the authors use the Du (2012) decomposition methodology. Findings The main findings are that the abnormal profit is more pronounced when the authors combine past returns with lagged high producer/merchant/processor/user or low managed money sentiment. The results from swap dealer or other reportable groups show that there is no pervasive directional relation between their sentiment and contrarian profit. A further investigation of the sources of abnormal profits demonstrates that these profits survive even after the adjustment of obtained return to risk. Instead, these profits are mainly due to the overreaction to the news by irrational traders. Originality/value Based on behavioral finance theories, the authors conclude that producer, merchant, processor and user behave like irrational traders, while managed money traders behave like rational ones. Given that current regulatory proposes the limitation of speculation, the policy implications of these results are important. Therefore, these findings suggest that policy distinctions on trading motives may be more challenging to construct than ever.
A Proposed Network Balance Index for Heterogeneous Networks

Load balancing and fairness are used in the heterogeneous network literature to describe how the users or user rates are distributed across the network. While quantitative metrics of fairness exist, there is no formal metric for quantifying load balance. In this letter, we demonstrate that a “fair” network may not be a balanced one, since fairness is from a user perspective, while load balance is from a network perspective. We propose a new network balance index (NBI) metric to measure the load balance across the network, which accounts for transmit powers, bias values for cell range expansion, and multiplicatively weighted Voronoi coverage areas of heterogeneous base stations. We show an application of the proposed metric by implementing a user association refinement algorithm, which aims to improve the NBI metric. Our mathematical analysis and simulations establish that when users are heavily clustered, increasing the NBI metric using the proposed algorithm also increases the sum rate despite decreasing fairness. This highlights the usefulness of the proposed NBI metric in network planning.
Impact of Audit Committee on the Association Between Financial Reporting Quality and Shareholder Value

Regulatory and governmental authorities in Malaysia provide substantial financial planning to help attract potential investors and improve value for shareholders. Companies are always encouraged to improve the quality of financial reporting. However, some managers tend to manipulate earnings’ data to make it appear more attractive. Stakeholders rely on the audit committee to motivate managerial provision of accurate data for accounting processes. Hence, this study examines the impact of financial reporting quality on shareholder value and assesses impacts from the audit committee’s influence and its relationship to financial reporting. The proposed study will use modified Jones Model to evaluate the financial reporting quality. Also, the study proposes ordinary least square (OLS) for identifying the impact of (i) independent audit committee; (ii) financial and accounting expertise; and (iii) audit committee size as proxies to investigate the effect of the audit committee on the relationship between financial reporting quality and shareholder value.
Semi-Efficient Valuations and Put-Call Parity

We propose an approach to the valuation of contingent claims in general, symmetric semimartingale models of financial markets. We start from two simple, economically motivated axioms, namely absence of arbitrage (in the sense of NUPBR) and absence of relative arbitrage among all buy-and-hold strategies (called static efficiency). We then call a valuation process for a contingent claim economically consistent if the financial market enlarged by that process still satisfies this combination of properties. It turns out that this approach lies in the middle between the extremes of valuing by risk-neutral expectation or by absence of arbitrage alone. We show that this always yields put-call parity, although put and call values themselves can be nonunique, even for complete markets. We provide general formulas for put and call values in complete markets and show that these are symmetric and that both contain in general three terms. We also show that our approach contains all the put-call parity respecting valuation formulas in the classic theory as special cases, and we explain precisely when and how the different terms in the put and call valuation formulas disappear or simplify.
Beyond the Hazard Ratio: Generating Expected Durations from the Cox Proportional Hazards Model

The Cox proportional hazards model is a commonly used method for duration analysis in political science. Typical quantities of interest used to communicate results come from the hazard function (for example, hazard ratios or percentage changes in the hazard rate). These quantities are substantively vague, difficult for many audiences to understand and incongruent with researchers’ substantive focus on duration. We propose methods for computing expected durations and marginal changes in duration for a specified change in a covariate from the Cox model. These duration-based quantities closely match researchers’ theoretical interests and are easily understood by most readers. We demonstrate the substantive improvements in interpretation of Cox model results afforded by the methods with reanalyses of articles from three subfields of political science.
Effectiveness of chemotherapy for advanced lung cancer in the elderly: instrumental variable and propensity analysis.

PURPOSE To compare the effectiveness of chemotherapy given to elderly patients in routine practice for stage IV non-small-cell lung cancer (NSCLC) with the efficacy observed in randomized trials. PATIENTS AND METHODS We used instrumental variable analysis (IVA) and propensity scores (PS) to simulate the conditions of a randomized trial in a retrospective cohort of patients over age 65 from the Survival, Epidemiology, and End Results (SEER) tumor registry. Geographic variation in chemotherapy use served as the instrument for the IVA analysis, and propensity scores were calculated with a logistic model based on patient disease and sociodemographic characteristics. RESULTS Among 6,232 elderly patients, the instrumental variable estimate indicated an increase in median survival of 33 days and an improvement in 1-year survival of 9% attributable to chemotherapy. In a Cox regression model, chemotherapy administration was associated with a hazard ratio of 0.81 (95% confidence interval, 0.76 to 0.85). When survival was analyzed separately within propensity score quintiles, the hazard ratios were all similar, ranging from 0.78 to 0.85. These results are comparable with those of a large meta-analysis, which found a hazard ratio of 0.87 in the subgroup of patients over age 65. CONCLUSION Chemotherapy for stage IV NSCLC seems to have effectiveness for elderly patients and those with comorbid conditions that is similar to the efficacy seen in randomized trials containing mostly younger, highly selected patients. All suitable patients should be given the opportunity to consider palliative chemotherapy for metastatic NSCLC.
Summary of contributions to GAW15 Group 13: candidate gene association studies

Here we summarize the contributions to Group 13 of the Genetic Analysis Workshop 15 held in St. Pete Beach, Florida, on November 12–14, 2006. The focus of this group was to identify candidate genes associated with rheumatoid arthritis or surrogate outcomes. The association methods proposed in this group were diverse, from better known approaches, such as logistic regression for single nucleotide polymorphism (SNP) analysis and haplotype sharing tests to methods less familiar to genetic epidemiologists, such as machine learning and visualization methods. The majority of papers analyzed Genetic Analysis Workshop 15 Problems 2 (rheumatoid arthritis data) and 3 (simulated data). The highlighted points of this group analyses were: (1) haplotype‐based statistics can be more powerful than single SNP analysis for risk‐locus localization; (2) considering linkage disequilibrium block structure in haplotype analysis may reduce the likelihood of false‐positive results; and (3) visual representation of genetic models for continuous covariates may help identify SNPs associated with the underlying quantitative trait loci. Genet. Epidemiol. 31 (Suppl 1):S110–S117, 2007. © 2007 Wiley‐Liss, Inc.
Dynorphin inhibits basal forebrain cholinergic neurons by pre‐ and postsynaptic mechanisms

The basal forebrain is an important component of the ascending arousal system and may be a key site through which the orexin neurons promote arousal. It has long been known that orexin‐A and ‐B excite basal forebrain cholinergic neurons, but orexin‐producing neurons also make the inhibitory peptide dynorphin. Using whole‐cell recordings in brain slices, we found that dynorphin‐A directly inhibits basal forebrain cholinergic neurons via κ‐opioid receptors, and decreases afferent excitatory synaptic input to these neurons. While the effects of dynorphin‐A and orexin‐A desensitize over multiple applications, co‐application of dynorphin‐A and orexin‐A produces a sustained response that reverses depending on the membrane potential of basal forebrain cholinergic neurons. At −40 mV the net effect of the co‐application is inhibition by dynorphin‐A, whereas at −70 mV the excitatory response to orexin‐A prevails.
De Novo synthesis of CREB in a presynaptic neuron is required for synaptic enhancement involved in memory consolidation

Interaction between the activator type of cyclic AMP response element binding protein (CREB1) and the repressor type (CREB2) results in determining the emergence of long‐lasting synaptic enhancement involved in memory consolidation. However, we still do not know whether the constitutively expressed forms of CREB are enough or the newly synthesized forms are required for the synaptic enhancement. In addition, if the newly synthesized forms are needed, we must determine the time for translation of CREB from its mRNA. We applied the methods of RNA interference and real‐time polymerase chain reaction (PCR) to CREB in the cerebral giant cells of Lymnaea. The cerebral giant cells play an important role in associative learning and employ a CREB cascade for the synaptic enhancement to neurons such as the B1 motoneurons. We injected the small interfering RNA (siRNA) of CREB1 or CREB2 into the cerebral giant cells and examined the changes in amplitude of excitatory postsynaptic potential (EPSP) recorded in the B1 motoneurons. The changes in the amounts of CREB1 and CREB2 mRNAs were also examined in the cerebral giant cells. The EPSP amplitude was suppressed 15 min after injection of CREB1 siRNA, whereas that was augmented 60 min after injection of CREB2 siRNA. In the latter case, the decrease in the amount of CREB2 mRNA was confirmed by real‐time PCR. Our results showed that the de novo synthesized forms of CREB are required within tens of minutes for the synaptic enhancement in memory consolidation. © 2006 Wiley‐Liss, Inc.
A binary motor imagery tasks based brain-computer interface for two-dimensional movement control

Objective. Two-dimensional movement control is a popular issue in brain–computer interface (BCI) research and has many applications in the real world. In this paper, we introduce a combined control strategy to a binary class-based BCI system that allows the user to move a cursor in a two-dimensional (2D) plane. Users focus on a single moving vector to control 2D movement instead of controlling vertical and horizontal movement separately. Approach. Five participants took part in a fixed-target experiment and random-target experiment to verify the effectiveness of the combination control strategy under the fixed and random routine conditions. Both experiments were performed in a virtual 2D dimensional environment and visual feedback was provided on the screen. Main results. The five participants achieved an average hit rate of 98.9% and 99.4% for the fixed-target experiment and the random-target experiment, respectively. Significance. The results demonstrate that participants could move the cursor in the 2D plane effectively. The proposed control strategy is based only on a basic two-motor imagery BCI, which enables more people to use it in real-life applications.
Prominent brainstem and cerebellar involvement in multiple sclerosis with psoriasis

Introduction We identified a subgroup of 20 patients with multiple sclerosis (MS) and psoriasis within a total group of 692 patients with MS. Results There was a high (80%) incidence of brainstem and/or cerebellar involvement and a high mean (±SD) Multiple Sclerosis Severity Score (6.06 ± 2.88) in this subgroup. Of the patients who were human leukocyte antigen typed, 53% carried the MS-associated allele, DRB1*1501, and 27% carried the psoriasis-associated DRB1*07 allele. Conclusion The high incidence of brainstem and cerebellar involvement might be explained by the greater severity of MS and the high frequency (60%) of carriage of DRB1*04, DRB1*07, and/or DRB1*13 alleles, which are associated with brainstem and cerebellar involvement in MS.
eWOM through social networking sites and impact on purchase intention and brand image in Iran

The purpose of this paper is to build a conceptual framework which provides both practical and theoretical insights into drivers of consumer use of social network sites (SNSs) as an electronic word-of-mouth (eWOM) tool and its impact on brand image (BI) and purchase intention (PI). ,For assessment of the research constructs, the measures proposed in the social psychology and marketing literature were adapted. These scales were examined for the face validity by the authors’ academic colleagues. Using the survey data collected from the students of the Islamic Azad University, these scales were further examined in terms of convergent and discriminant validity as well as reliability. Structural equation modelling technique was used to test the effect of eWOM antecedents on consumer eWOM intention and the eWOM impact on BI and consumer PI. ,The results confirmed significance of the constructs consumer trust, informational influence, sense of belonging, altruism, moral obligation, and knowledge self-efficacy for consumer engagement in eWOM. The results further indicated that eWOM, in turn, played a significant role in shaping BI in the mind of consumers and their PI. ,Obviously, university students do not exactly represent the whole population of SNSs members. The eWOM intention can be investigated across generations in terms of intergenerational differences. The authors admit that in addition to the constructs used in this study there are other equally important constructs that can be adapted from relevant fields (e.g. psychology) as the eWOM antecedents. As for eWOM consequences, different aspects of brand equity could be additionally explored and investigated. ,The results of this study would help marketing department of companies and advertising agencies make advertisements in accordance with consumer characteristics. The results would also benefit providers of online platforms by giving them insight into behaviour of their members. Finally, the finding that eWOM intention is likely to create PI among consumers is of particular interest to producers of goods. ,Given its bidimensional perspective to eWOM behaviour (i.e. considering both antecedents and consequences of eWOM), this study provides valuable insights into the phenomenon eWOM in the context of social networks as well as a basis for further research in this field.
Motion-Adaptive Frame Deletion Detection for Digital Video Forensics

The detection of frame deletion forgery is of great significance in the field of video forensics. Existing approaches, however, are not applicable to video sequences with variable motion strengths. In addition, the impact of interfering frames has not been considered in these approaches. Our research aims to develop a motion-adaptive forensic method as well as to eliminate interfering frames. Through a study of the statistical characteristics of the most common interfering frames such as relocated I-frames, we develop a new fluctuation feature based on frame motion residuals to identify frame deletion points (FDPs). The fluctuation feature is further enhanced by an intra-prediction elimination procedure so that it can be adapted to sequences with various motion levels. The enhanced feature is measured using a moving window detector to identify the location of a FDP. Finally, a postprocessing procedure is proposed to eliminate the minor interferences of sudden lighting change, focus vibration, and frame jitter. Our experimental results demonstrate that for videos with variable motion strengths and different interfering frames, the true positive rate of the algorithm can reach 90% when the false alarm rate is 0.3%. Our proposed method could provide a foundation for many practical applications of video forensics.