Miracle-dz/UniFAR-FTUs huggingface dataset:
Computational Modeling of Electromagnetically Induced Heating of Magnetic Nanoparticle Materials for Hyperthermic Cancer Treatment

We present work on the computational modeling of electromagnetically induced heating in the hyperthermic treatment of cancer using ∞uid-dispersed magnetic nanoparticles. Magnetic nanoparticle hyperthermia can be used as a complement to chemotherapy or for direct targeting and destruction of tumors through heat treatment. The ability of nanoscale materials to provide an extremely localized therapeutic efiect is a major advantage over traditional methods of treatment. When an AC magnetic fleld is applied to a ferro∞uid, Brownian rotation and Neel relaxation of induced magnetic moments result in power dissipation. In order to achieve appreciable volumetric heating, while maintaining safe values of frequency and magnetic fleld strength, and to reduce the risk of spot heating of healthy tissue, it is necessary to determine an ideal range of input parameters for the driving magnetic fleld as well as the complex susceptibility of the ferro∞uid. We do this by the coupling of the solution of Maxwell's equations in a model of the tumor and surrounding tissue as input to the solution to the Pennes' Bioheat Equation (PBE). In this study, we solve both sets of equations via the Finite Difierence Time Domain (FDTD) method as implemented in the program SEMCAD X (by SPEAG, Schmid & Partner Engineering). We use a multilayer model of the human head made up of perfused dermal and skeletal layers and a grey-matter region surrounding a composite region of tumor tissue and the magnetic nanoparticle ∞uid. The tumor/ferro∞uid composite material properties are represented as mean values of the material properties of both constituents, assuming homogeneity of the region. The AC magnetic excitation of the system (within 100kHz{2MHz frequency range) is provided by square Helmholtz coils, which provide a uniform magnetic fleld in the region of interest. The power density derived from the electromagnetic fleld calculation serves as an input term to the bioheat equation and therefore determines the heating due to the ferro∞uid. Results for several variations of input parameters will be presented.
The Italian version of the Job Crafting Scale (JCS)

Job crafting refers to actions carried out by workers in order to bring their job demands and job resources at a preferred level. Crafting behaviors are measured by the Dutch Job Crafting Scale (JCS). The Italian version of the JCS includes the following three positive factors: increasing structural job resources, social job resources and challenging job demands. To assess the factorial validity of the scale, an exploratory factor analysis (N=311) and confirmatory factor analyses (N=410) were performed. Convergent and criterion validity were investigated through correlations with other variables. Factor analyses showed a good three-factor structure, in line with the literature. Moreover, as expected, job crafting behaviors were correlated with work self-efficacy, work engagement and job performance. Results suggest that the Italian version of the JCS can be reliably used to measure job crafting.
Impact of Left Ventricular Diastolic Dysfunction and Biomarkers on Pulmonary Hypertension in Patients with Severe Aortic Stenosis

Background: Severe aortic stenosis (AS) complicated by pulmonary hypertension (PH) is associated with poor outcomes after surgical aortic valve replacement (AVR). There is still scarce information about predictors of secondary PH in this group of patients. Objectives: The aim of this study was to investigate the prognostic impact of biomarkers together with conventional Doppler echocardiographic parameters of left ventricular diastolic function on elevated pulmonary systolic pressure (PSP) in severe AS patients before surgical AVR. Methods: Sixty patients with severe isolated AS (aortic valve area <1 cm2) underwent echocardiography, N-terminal pro B-type natriuretic peptide (NT-proBNP) and growth differentiation factor-15 (GDF-15) measurements before AVR. PSP, left ventricular ejection fraction (LV EF), parameters of LV diastolic function (E/E’ ratio, mitral valve deceleration time (MV DT) and left atrial (LA) volume) were evaluated. PH was defined as an estimated PSP ≥ 45 mmHg. Results: Of the 60 patients, 21.7% with severe isolated AS had PH with PSP ≥ 45 mmHg (58.5 ± 11.2 mmHg). LV EF did not differ between groups and was not related to an elevated PSP (50 ± 8 vs. 49 ± 8%, p = 0.58). Parameters of LV diastolic dysfunction (E/E’ ratio > 14 (OR 6.00; 95% CI, 1.41–25.48; p = 0.009), MV DT ≤ 177.5 ms (OR 9.31; 95% CI, 2.06–41.14; p = 0.001), LA volume > 100 mL (OR 9.70; 95% CI, 1.92–49.03; p = 0.002)) and biomarkers (NT-proBNP > 4060 ng/L (OR 12.54; 95% CI, 2.80–55.99; p < 0.001) and GDF-15 > 3393 pg/mL (OR 18.33; 95% CI, 2.39–140.39; p = 0.001)) were significantly associated with elevated PSP in severe AS. Conclusions: Left ventricular diastolic dysfunction and elevated biomarkers levels could predict the development of pulmonary hypertension in patients with severe aortic stenosis. Elevation of biomarkers paired with worsening of LV diastolic dysfunction could help to stratify patients for earlier surgical treatment before the development of pulmonary hypertension.
Meta-analysis on cognitive behavioral treatment and behavioral intervention technologies for anxious youth: more than a BIT effective

Anxiety disorders in youth are linked to impaired social and academic functioning; however, only 20% of individuals with these disorders receive treatment. The current stigma of seeing a psychologist or the accessibility of resources may represent barriers to treatment. This study aimed to review and compare the effects of Faceto-Face Cognitive Behavioral Therapy (F2FCBT) and Behavioral Intervention Technologies (BITs) for youth anxiety disorders. BITs are electronic interventions (e.g. mobile phones, internet, virtual reality) that aim to help the user improve mental and physical health. Little research comparing the effects of the two types of modalities has been conducted previously. Methods: Systematic review methods and meta-analysis techniques were used to analyze thirty-four randomized controlled trials that included F2FCBT and/or BITs therapy. Results: Both types of interventions were effective for the reduction of childhood anxiety, with the overall effect for F2FCBT indicating less post-test anxiety (F2FCBT g = -.84 and BITs g = -.40). A subgroup analysis revealed that there were significant effect sizes for F2FCBT and for the combination of the two modalities, but not for BITs alone. Conclusion: Although F2FCBT has shown a larger effect size, BITs with guided therapist help can be an effective modality for delivering treatment for youth with anxiety disorders. Correspondence to: Bunge EL, Department of Clinical Psychology, Faculty of Palo Alto University, 1791 Arastradero Road, Palo Alto, CA 94304, USA, Tel/ Fax: 800-818-6136, 650-433-3888; E-mail: ebunge@paloaltou.edu
Analyzing Sentiments in One GoA Supervised Joint Topic Modeling Approach

In this work, we focus on modeling usergenerated review and overall rating pairs, and aim to identify semantic aspects and aspect-level sentiments from review data as well as to predict overall sentiments of reviews. We propose a novel probabilistic supervised joint aspect and sentiment model(SJASM) to deal with the problems in one go under a unified framework. SJASM represents each review document in the form of opinion pairs, and can simultaneously model aspect terms and corresponding opinion words of the review for hidden aspect and sentiment detection. It also leverages sentimental overall ratings , which often come with online reviews, as super-vision data, and can infer the semantic aspects & aspect level sentiment's that are not only meaningful but also predictive of overall sentiments of reviews. Moreover, we also develop efficient inference method for parameter estimation of sentiment model (SJASM) based on collapsed Gibbssampling . We evaluate sentiment-model (SJASM) extensively on real world review data, and experimental results demonstrate that the proposed model out performs seven well established baseline methods for sentiment analysis tasks. Keywords— SJASM, Sentiment analysis, aspect based sentiment analysis, probabilistic topic model, supervised joint topic mode.
Modeling of the Parties' Vote Share Distributions

Competition between varying ideas, people and institutions fuels the dynamics of socio-economic systems. Numerous analyses of the empirical data extracted from different financial markets have established a consistent set of stylized facts describing statistical signatures of the competition in the financial markets. Having an established and consistent set of stylized facts helps to set clear goals for theoretical models to achieve. Despite similar abundance of empirical analyses in sociophysics, there is no consistent set of stylized facts describing the opinion dynamics. In this contribution we consider the parties' vote share distributions observed during the Lithuanian parliamentary elections. We show that most of the time empirical vote share distributions could be well fitted by numerous different distributions. While discussing this peculiarity we provide arguments, including a simple agent-based model, on why the beta distribution could be the best choice to fit the parties' vote share distributions.
Stakeholder engagement in intra- and inter-organizational innovation: Exploring antecedents of engagement in service ecosystems

Purpose To further extend the understanding of multidimensional engagement of stakeholders embedded in service systems, the purpose of this paper is to explore the antecedents that constitute stakeholder engagement in inter-organizational service ecosystems where stakeholders co-create innovations over time. Design/methodology/approach An explorative, longitudinal case study design is employed to analyze stakeholders’ engagement in co-innovation in an inter-organizational service system in an engineering context. Findings The study identifies eight antecedents for stakeholder engagement in innovation in the context of a B2B environment. Building on related engagement research, the empirical data show how stakeholder engagement is influenced at both individual and organizational levels by the antecedents friendship, common experiences, self-representation, trust, a common goal, resource dependency, level in the hierarchy, institutional arrangements, and local proximity. Originality/value The paper extends current understanding of engagement and illuminates stakeholder engagement on a micro level, addressing four key issues for stakeholder engagement in a service ecosystem. How can stakeholder engagement be maintained over time? Does stakeholder engagement at specific hierarchical levels enhance or hinder inter-organizational co-innovation? Is strong engagement necessary for innovation activities? Are the different engagement antecedents linked?
Production Cost, Transaction Cost, and Outsourcing Strategy: A Game Theoretic Analysis

This paper presents a game theoretic analysis of the impact of both production and transaction costs on the single-or-multiple source purchasing decision. Both dyadic interactions involving a buyer and a seller, and triadic interactions involving a buyer and two suppliers, are examined to gain a more precise understanding of how small number interactions might influence transaction cost. We show that transaction cost is maximized when a buyer follows a single source strategy and learning specificity is present. Only if a buyer follows a multiple source strategy that splits the supply contract in such a way as to equalize the effects of learning specificity across the suppliers, will transaction cost be maximized and will a buyer be able to appropriate the efficiency gains achieved by its suppliers. Production and transaction costs interact to influence governance decisions. The equilibrium is such that a single (multiple) source strategy is optimal when efficiency gains due to the economies of scale are large (small), but those due to learning specificity are small (large). When both the effects of economies of scale and learning specificity are large, internalization is the optimal strategy.
L’hépatite C au Canada et l’importance du dépistage fondé sur les risques

L’hépatite C chronique demeure un problème de santé publique qui touche environ 220 000 personnes au Canada. En 2011, environ 44 % des personnes souffrant d’hépatite C chronique ne savaient pas qu’elles étaient infectées. L’hépatite C est d’origine infectieuse et, si elle n’est pas traitée, peut entraîner une morbidité et une mortalité importantes sous sa forme chronique, notamment une cirrhose, un carcinome hépatocellulaire et une insuffisance hépatique. Ces résultats en matière de santé sont associés à des comorbidités, ce qui ajoute un poids supplémentaire au système de santé canadien. De récentes avancées dans le traitement de l’hépatite C ont modifié le paysage clinique.
Early results from developing and researching the Webster- Stratton Incredible Years Teacher Classroom Management Training Programme in North West Wales

The evidence‐based Incredible Years Teacher Classroom Management (TCM) Programme was developed to meet demands from teachers for strategies to manage disruptive behaviours in the classroom (Webster‐Stratton, 1999). This article describes the programme and reports on its first use in the UK. In the first study 23 teachers attended the five‐day classroom management programme, 20 completed the final satisfaction questionnaire and 21 participated in a semi‐structured follow‐up interview. Teachers who implemented the training in their classrooms reported satisfaction with the programme and believed that the strategies taught were effective and improved pupils' conduct. In the second study, blind observation of teacher classroom behaviour was undertaken in 21 classes: 10 teachers had received the TCM training and 11 had not. Teachers who received TCM training gave clearer instructions to children and allowed more time for compliance before repeating instructions. The children in their classes were more compliant than children in the classes of untrained teachers. The implications of these findings are discussed.
Adaptive Modulation for Space-Time Block Code OFDM systems based on EVM

The Adaptive Modulation (AM) for Space-Time Block Code OFDM (STBC-OFDM) is addressed in this article as application for wireless systems. A new method was proposed, which is used the dispersion of Error Vector Magnitude (EVM) to represent the current channel condition in the following frames and to select the appropriate Modulation Scheme (MS) for the subsequent frame. In this method, the AM is not only compensated the channel variation, but also guaranteed the required Bit Error Rate (BER) performance and maximized the Spectral Efficiency (SE). The simulation shows that the proposed scheme outperforms in gaining performance the conventional scheme for all MS over a fading channel.
problem in mainstream thinking about leadership – the hegemony of systems thinking , to the neglect of “ right brain ” thinking

In this paper our first purpose is to outline a way of thinking about organizations and administration that has recently been gaining ground among theoreticians and practitioners, one that is portrayed frequently as a replacement for the well established newtonian or systems perspective. This way of thinking is the quantum perspective. Our second purpose is to illustrate how the metaphors of this emergent perspective can add to understandings about leadership, in particular when fostering commitment and dealing with conflict. To these ends, we first describe selected differences between the entrenched perspective on organizations and administration – the newtonian perspective – and the new quantum perspective. In this section we give particular attention to the quantum notion of a pervasive energy field that drives change as well as recent discoveries about the ways humans think. Next we contrast the values ascribed to an individual’s public and private selves in newtonian and quantum organizations. Finally we consider how the newtonian and the quantum orientations in leadership are likely to affect the commitment of an organization’s members. And we relate this to findings from research on the management of conflict.
Carbonaceous aerosols recorded in a southeastern Tibetan glacier: analysis of temporal variations and model estimates of sources and radiative forcing

Abstract. High temporal resolution measurements of black carbon (BC) and organic carbon (OC) covering the time period of 1956–2006 in an ice core over the southeastern Tibetan Plateau show a distinct seasonal dependence of BC and OC with higher respective concentrations but a lower OC / BC ratio in the non-monsoon season than during the summer monsoon. We use a global aerosol-climate model, in which BC emitted from different source regions can be explicitly tracked, to quantify BC source–receptor relationships between four Asian source regions and the southeastern Tibetan Plateau as a receptor. The model results show that South Asia has the largest contribution to the present-day (1996–2005) mean BC deposition at the ice-core drilling site during the non-monsoon season (October to May) (81%) and all year round (74%), followed by East Asia (14% to the non-monsoon mean and 21% to the annual mean). The ice-core record also indicates stable and relatively low BC and OC deposition fluxes from the late 1950s to 1980, followed by an overall increase to recent years. This trend is consistent with the BC and OC emission inventories and the fuel consumption of South Asia (as the primary contributor to annual mean BC deposition). Moreover, the increasing trend of the OC / BC ratio since the early 1990s indicates a growing contribution of coal combustion and/or biomass burning to the emissions. The estimated radiative forcing induced by BC and OC impurities in snow has increased since 1980, suggesting an increasing potential influence of carbonaceous aerosols on the Tibetan glacier melting and the availability of water resources in the surrounding regions. Our study indicates that more attention to OC is merited because of its non-negligible light absorption and the recent rapid increases evident in the ice-core record.
Production and Perception of Rising Tone Sandhi in Mizo

Mizo, a Tibeto-Burman language of the Kuki-Chin group is primarily spoken in the north-east Indian state of Mizoram in Northeast India. Mizo has four lexical tones, namely, high (H), rising (R) , falling (F) and low (L). Mizo tones are mostly dynamic, except the H tone which is a static tone. Previous researches have reported that the rising tone in Mizo changes into low tone when it is followed by either high tone or falling tone which is regarded as rising tone sandhi. The present study analyzes the production and perception of rising tone sandhi. The production data of rising tone sandhi is carried out by comparing the F0 contours of the derived low tone of rising tone sandhi in trisyllabic phrases with the citation form of low tone and low tone in phrases. Results have shown that the F0 contour of rising tone sandhi and the canonical low tone in Mizo are different in terms of F0 contour. The result of perception study in the form of identification test has shown that the speakers of Mizo could distinguish the low tone derived out of rising tone sandhi from the canonical low tone which indicates that tone sandhi in Mizo is perceptually categorical.
Model checking For An Architecture Description : Where Does It Fit Into A Safety Case ?

Safety critical system is responsible for ensuring safety to its users or at least helps to ensure the safety. However, due to the fact says Absolute safety is not an attainable goal. Thus, we must argue over the reasons of “why” the system is safe enough to be deployed, where safe enough means that despite of the available risks but the system is still considered safe. In this context, safety cases are used to structure the safety arguments. Safety cases are defined as a structured argument, supported by a body of evidence that provides a compelling, comprehensible and valid case that a system is safe for a given application in a given environment. Evidences are based on observing, analysing, testing, simulating or estimating the properties of a system. Since, model checking is a technique used to simulate and test some system properties, thus, the findings of this technique can be used to support claims in the safety case. In this paper, we are adopting a safety critical system from the real-world. The system was used by a case study for a verification technique by which we use the model checking approach to check some properties of the system, where the AADL (Architecture Analysis & Design Language) was used to design the architecture model of the system and its properties. Then we build a safety argument for the tackled system to show how the results obtained by the verification technique (i.e. model checking) can support claims in the safety argument.
Assessing the rate of change in the enterprise database system market over time using DEA

This paper builds upon previous work of using data envelopment analysis (DEA) to measure incremental innovation in technology by applying it to the online transaction processing market. A variable returns to scale DEA model is utilized to determine an annual rate of change in benchmarks based on data provided by the Transaction Processing Performance Council (TPC). This rate of change may then be used to forecast possible future performance trendsetters of the TPC.
Optical security device for document protection using plasmon resonant transmission through a thin corrugated metallic film embedded in a plastic foil

The well known resonant or extraordinary transmission through an undulated metallic thin film embedded in a dielectric layer using the Plasmon modes excitation under normal incidence is industrially exploited for document protection applications. While the effect is very spectrally sensitive to the incidence angle in collinear incidence since it leads to a transmission peak separation in two peaks, it is very tolerant in conical incidence (incidence angle in the plan normal to the grating direction). This property is used to create color transmission effects by playing with the sample rotation in the two directions to enhance the contrast of such effect. Theoretical approach, modeling and experimental demonstration in the visible range on a flexible plastic foil are presented for a see-through window implemented in document security.
Antibody – Drug Conjugates in Relapsed / Refractory CD 30-positive Lymphomas

Touch MEdical MEdia 1 Abstract Although chemotherapy and radiotherapy are associated with good outcomes in patients with advanced Hodgkin’s lymphoma (HL) and systemic anaplastic large cell lymphoma (sALCL), there is a need for alternative approaches to maximise control of the lymphoma in refractory and relapsed cases. Antibody–drug conjugates (ADCs) allow specific targeting of drugs to neoplastic cells. The ADC brentuximab vedotin (BV) has the ability to target cluster of differentiation (CD) 30+ tumour cells and initiate cytotoxic effects. In two phase II trials, BV resulted in objective responses in 75 % and 86 % of patients with refractory or relapsed HL and sALCL, respectively, with an acceptable toxicity profile. Based on these data, BV was granted accelerated approval by the US Food and Drug Administration for the treatment of refractory and relapsed HL and ALCL. A promising indication for BV is acting as a bridge to stem cell transplantation (SCT). Numerous studies are currently examining the role of BV as salvage therapy prior to autologous or allogeneic SCT, as well as in other clinical settings.