LLukas22/scidocs huggingface dataset:
Brand communication through digital influencers: Leveraging blogger engagement

The growing power of bloggers to influence their connected network has emerged as a new communication venue for brands. This study elaborates upon the role of bloggers in brand communication, and reveals how brands can engage with bloggers, currently considered as online opinion leaders, from the perspective of the two-step flow theory. Following clarification of the aims of the study, we report on in-depth interviews with 17 brand and digital agency representatives, selected because they regard communication with bloggers as an important strategy in increasing the influence of their brands among online communities. This exploratory study reflects current blogger communication implementations, and concludes with a discussion of seven major issues arising from the literature review and interviews (definition of bloggers, blogger selection criteria, digital integration, power of bloggers, long-term relationship building with bloggers, measurement, and budgetary issues in blogger communication). These areas represent relatively unexplored areas of blogger engagement from both an academic and managerial perspective. Based on the findings of the interviews, we propose a model which traces the influencer role of bloggers from the two-step flow theory perspective. This model is named as the brand communication through digital influencers model. © 2014 Elsevier Ltd. All rights reserved.
Does knowledge based psychological ownership matter ? Transformational leadership and knowledge hiding : A proposed framework

The prevalent and negative impact of knowledge hiding behaviour among employees has called the attention of both practitioners and researchers to begin investigations on its causes, and other factors that influence it on both the targets and perpetrators. Some of the possible suggested antecedents of knowledge hiding studied include trust, job characteristic, organisational culture, and workplace environment. Despite these studies, few have attempted to investigate the influence of leadership, particularly, transformational leadership on knowledge hiding. Previous studies also indicated conflicting results, and the mechanisms through which transformational leadership influences knowledge hiding are not adequately addressed. Therefore, mediator variable is suggested. Hence, this paper proposes knowledge psychological ownership as a potential mediator on the relationship between transformational leadership and knowledge hiding behaviour of an employee in the organization. We hereby argue that transformational leadership through knowledge psychological ownership will influence employees to refrain from the knowledge hiding behaviour that may negatively affect the organisation and encourage knowledge sharing to improve the performance of the organization. Corresponding author: Sahnun Ladan Email address for the corresponding author: sahnunl@yahoo.com First submission received: 28th January 2017 Revised submission received: 21st February 2017 Accepted: 8th April 2017
Enterprise resource planning: Managing the implementation process

Over the past few years, thousands of companies around the world have implemented enterprise resource planning (ERP) systems. Implementing an ERP system is generally a formidable challenge, with a typical ERP implementation taking anywhere from one to five years. The story of the success of ERP systems in achieving the stated objectives is mixed. Some companies have had very successful implementations while others have struggled. This paper empirically investigates and identifies key differences in the approaches used by companies that managed their implementations ontime and/or on/under-budget versus the ones that did not using data collected through a survey of US manufacturing companies that have implemented ERP systems. Logistic regressions are used to classify on-time and on/under-budget firm groups based on the survey responses and to identify the significant variables that contribute to on-time and on/ under-budget implementation performance. The results indicate that many different factors ranging from pre-implementation planning to system configuration influence performance, which managers should be sensitive about when implementing major systems like ERP. 2002 Elsevier Science B.V. All rights reserved.
Age-related grey matter volume correlates of response inhibition and shifting in attention-deficit hyperactivity disorder.

BACKGROUND
Children with attention-deficit hyperactivity disorder (ADHD) have difficulties with executive function and impulse control which may improve with age.


AIMS
To map the brain correlates of executive function in ADHD and determine age-related changes in reaction times and brain volumes.


METHOD
Attention-deficit hyperactivity disorder and control groups were compared on the change task measures of response inhibition (stop signal reaction time, SSRT) and shifting (change response reaction time, CRRT). Voxel-wise magnetic resonance imaging (MRI) correlations of reaction times and grey matter volume were determined, along with bivariate correlations of reaction times, brain volumes and age.


RESULTS
Individuals in the ADHD group had longer SSRTs and CRRTs. Anterior cingulate, striatal and medial temporal volumes highly correlated with SSRT. Striatal and cerebellar volumes strongly correlated with CRRT. Older children had faster reaction times and larger regional brain volumes. In controls, orbitofrontal, medial temporal and cerebellar volumes correlated with CRRT but not SSRT. Neither reaction times nor regional brain volumes were strongly age-dependent.


CONCLUSIONS
Our evidence supports delayed brain maturation in ADHD and implies that some features of ADHD improve with age.
The Dielectric Constant of Lubrication Oils

The values of the dielectric constant of simple molecules is discussed first, along with the relationship between the dielectric constant and other physical properties such as boiling point, melting point and refractive index. The Debye equation shows the relationship of dielectric constant with the polarizability and dipole moment of materials. The interpretation of the Debye equation as it applies to lubrication oils is considered. The effect of base oil (paraffinic versus napthenic) and additives on the dielectric constant of oils is included in this paper. The temperature and electric field frequency dependence of dielectric constant on lubrication oils is discussed.
Learning and adaptation's impact on market efficiency

A dynamic model with learning and adaptation captures the evolution in trader beliefs and trading strategies. Through a process of learning and observation, traders improve their understanding of the market. Traders also engage in a process of adaptation by switching between trading strategies based on past performance. The asymptotic properties are derived analytically, demonstrating that convergence to efficiency depends on the model of adaptation.
Randomized, Placebo-Controlled Trial of Platelet Glycoprotein IIb/IIIa Blockade With Primary Angioplasty for Acute Myocardial Infarction

Background—The benefit of catheter-based reperfusion for acute myocardial infarction (MI) is limited by a 5% to 15% incidence of in-hospital major ischemic events, usually caused by infarct artery reocclusion, and a 20% to 40% need for repeat percutaneous or surgical revascularization. Platelets play a key role in the process of early infarct artery reocclusion, but inhibition of aggregation via the glycoprotein IIb/IIIa receptor has not been prospectively evaluated in the setting of acute MI. Methods and Results —Patients with acute MI of,12 hours’ duration were randomized, on a double-blind basis, to placebo or abciximab if they were deemed candidates for primary PTCA. The primary efficacy end point was death, reinfarction, or any (urgent or elective) target vessel revascularization (TVR) at 6 months by intention-to-treat (ITT) analysis. Other key prespecified end points were early (7 and 30 days) death, reinfarction, or urgent TVR. The baseline clinical and angiographic variables of the 483 (242 placebo and 241 abciximab) patients were balanced. There was no difference in the incidence of the primary 6-month end point (ITT analysis) in the 2 groups (28.1% and 28.2%, P50.97, of the placebo and abciximab patients, respectively). However, abciximab significantly reduced the incidence of death, reinfarction, or urgent TVR at all time points assessed (9.9% versus 3.3%, P50.003, at 7 days; 11.2% versus 5.8%, P50.03, at 30 days; and 17.8% versus 11.6%, P50.05, at 6 months). Analysis by actual treatment with PTCA and study drug demonstrated a considerable effect of abciximab with respect to death or reinfarction: 4.7% versus 1.4%, P50.047, at 7 days; 5.8% versus 3.2%, P50.20, at 30 days; and 12.0% versus 6.9%, P50.07, at 6 months. The need for unplanned, “bail-out” stenting was reduced by 42% in the abciximab group (20.4% versus 11.9%, P50.008). Major bleeding occurred significantly more frequently in the abciximab group (16.6% versus 9.5%, P 0.02), mostly at the arterial access site. There was no intracranial hemorrhage in either group. Conclusions—Aggressive platelet inhibition with abciximab during primary PTCA for acute MI yielded a substantial reduction in the acute (30-day) phase for death, reinfarction, and urgent target vessel revascularization. However, the bleeding rates were excessive, and the 6-month primary end point, which included elective revascularization, was not favorably affected.(Circulation. 1998;98:734-741.)
Analysis of multi-phase LLC resonant converters

In this paper a topology for multi-phase interleaved LLC resonant converter is presented. The proposed solution, based on three LLC modules with transformer primary windings star connection allows to drastically reduce the output current ripple and consequently to minimize the output filter capacitor size. Differently from other multi-phase solutions, that are greatly susceptible to resonant component mismatch and consequently can be affected by a considerable current imbalance among modules, the proposed topology exhibits an inherent balancing capability. Small-signal analysis is presented and the possibility to turn-off one or two modules (phase shedding) at reduced output current levels is discussed, highlighting the trade-off between converter efficiency and output capacitor current ripple reduction. Measurements on a prototype will be included in the paper as validation of assertions and proposals.
Integrating customer relationship management in hotel operations : managerial and operational implications

As travelers are becoming more price sensitive, less brand loyal and more sophisticated, Customer Relationship Management (CRM) becomes a strategic necessity for attracting and increasing guests’ patronage. Although CRM in hospitality has overstated the importance of ICT, it is now widely recognised that successful CRM implementation should effectively combine and align ICT functionality with business operations. Given the lack of a widely accepted framework for CRM implementation, this paper proposed a model for managing and integrating ICT capabilities into CRM strategies and business processes. The model argues that successful CRM implementation requires the management and alignment of three managerial processes: ICT, relationship (internal and external) and knowledge management. The model is tested by gathering data from Greek hotels, while findings provide useful practical implications and suggestions for future research. r 2004 Elsevier Ltd. All rights reserved.
ICM-DISCO docking by global energy optimization with fully flexible side-chains.

The ICM-DISCO (Docking and Interface Side-Chain Optimization) protein-protein-docking method is a direct stochastic global energy optimization from multiple starting positions of the ligand. The first step is performed by docking of a rigid all-atom ligand molecule to a set of soft receptor potentials precalculated on a 0.5 A grid from realistic solvent-corrected force-field energies. This step finds the correct solution as the lowest energy conformation in almost 100% of the cases in which interfaces do not change on binding. The second step is needed to deal with the induced changes and includes the global optimization of the interface side-chains of up to 400 best solutions. The CAPRI predictions were performed fully automatically with this method. Available experimental information was included as a filtering step to favor expected docking surfaces. In three of the seven proposed targets, the ICM-DISCO method found a good solution (>50% of correct contacts) within the five submitted models. The procedure is global and fully automated. We demonstrate that the algorithm handles the induced changes of surface side-chains but is less successful if the backbone undergoes large-scale rearrangements.
Anticoagulation in childhood-onset arterial ischemic stroke with non-moyamoya arteriopathy: findings from the Colorado and German (COAG) collaboration.

BACKGROUND AND PURPOSE
Childhood arterial ischemic stroke treatment guidelines recommend extended anticoagulation in cardioembolism and dissection. We sought to investigate the safety of extended anticoagulation in childhood arterial ischemic stroke with nonmoyamoya arteriopathy, for which the risk of recurrent stroke is high.


METHODS
Thirty-seven patients with childhood-onset arterial ischemic stroke with acute arteriopathy (excluding moyamoya) were diagnosed between 1999 and 2007 and treated with anticoagulation for at least 4 weeks. Patients were followed in hospital-based cohort studies at 2 centers and systematically assessed for bleeding episodes and recurrent events.


RESULTS
Over a cumulative anticoagulation duration of 1329 patient-months, there were no major bleeding episodes and 2 clinically relevant bleeding episodes. Cumulative probability of recurrent arterial ischemic stroke at 1 year was 14%.


CONCLUSIONS
Anticoagulation can be used safely for secondary arterial ischemic stroke prevention in children with acute nonmoyamoya arteriopathy. Anticoagulation is worthy of evaluation in future randomized, controlled treatment trials in this disease.
AMP: Adaptive Multi-stream Prefetching in a Shared Cache

Prefetching is a widely used technique in modern data storage systems. We study the most widely used class of prefetching algorithms known as sequential prefetching. There are two problems that plague the state-of-the-art sequential prefetching algorithms: (i) cache pollution, which occurs when prefetched data replaces more useful prefetched or demand-paged data, and (ii) prefetch wastage, which happens when prefetched data is evicted from the cache before it can be used. A sequential prefetching algorithm can have a fixed or adaptive degree of prefetch and can be either synchronous (when it can prefetch only on a miss), or asynchronous (when it can also prefetch on a hit). To capture these distinctions we define four classes of prefetching algorithms: Fixed Synchronous (FS), Fixed Asynchronous (FA), Adaptive Synchronous (AS), and Adaptive Asynchronous (AA). We find that the relatively unexplored class of AA algorithms is in fact the most promising for sequential prefetching. We provide a first formal analysis of the criteria necessary for optimal throughput when using an AA algorithm in a cache shared by multiple steady sequential streams. We then provide a simple implementation called AMP, which adapts accordingly leading to near optimal performance for any kind of sequential workload and cache size. Our experimental set-up consisted of an IBM xSeries 345 dual processor server running Linux using five SCSI disks. We observe that AMP convincingly outperforms all the contending members of the FA, FS, and AS classes for any number of streams, and over all cache sizes. As anecdotal evidence, in an experiment with 100 concurrent sequential streams and varying cache sizes, AMP beats the FA, FS, and AS algorithms by 29-172%, 12-24%, and 21210% respectively while outperforming OBL by a factor of 8. Even for complex workloads like SPC1-Read, AMP is consistently the best performing algorithm. For the SPC2 Video-on-Demand workload, AMP can sustain at least 25% more streams than the next best algorithm. Finally, for a workload consisting of short sequences, where optimality is more elusive, AMP is able to outperform all the other contenders in overall performance.
Radiation transport in diffractive media

We consider radiation transport theory applied to non-dispersive but refractive media. This setting is used to discuss Minkowski's and Abraham's electromagnetic momentum, and to derive conservation equations independent of the choice of momentum definition. Using general relativistic kinetic theory, we derive and discuss a radiation gas energy–momentum conservation equation valid in arbitrary curved spacetime with diffractive media.
Novel primary high voltage traction converter topology for multi-system locomotives

This paper presents research motivated by industrial demand for special traction drive topology devoted to minimization of traction transformer weight against topology with classical 50Hz traction transformer. The main attention has been given to the special traction drive topology for AC power systems: input high voltage trolley converter (single phase) —middle frequency transformer (single phase) — output converter (single phase voltage-source active rectifier + three phase voltage-source inverter) - traction motor. The proposed converter control algorithm of innovative traction topology with middle-frequency transformer has been described in detail. The theoretical conclusions and simulation results are compared with experimental measurements on laboratory model with rated power of 4kVA.
Security Issues in Internet of Things ( IoT ) : A Survey

In the recent years, people need to use Internet at anytime and anywhere. Internet of Things (IOT) allows people and things to be connected Anytime, Anyplace, with Anything and Anyone, ideally using Any path/network and Any service. IOT can be distinguished by various technologies, which provide the creative services in different application domains. This implies that there are various challenges present while deploying IOT. The traditional security services are not directly applied on IOT due to different communication stacks and various standards. So flexible security mechanisms are need to be invented, which deal with the security threats in such dynamic environment of IOT. In this survey we present the various research challenges with their respective solutions. Also, some open issues are discovered and some hints for further research direction are advocated. Keywords— Internet-of-Things; Sensor Networks; Smart objects; Sensors; Actuators; ubiquitous; Security
Accounting Earnings Announcements, Institutional Investor Concentration, And Common-Stock Returns

Excerpt] This study examines the relation between the level of institutional investor ownership and the magnitude of security price variability at quarterly earnings announcement dates. Prior research consistently documents a negative association between firm size and announcement-date return variability. One explanation for this finding is that as more timely, alternative information becomes available on large firms prior to an announcement date, their security prices become informative, thereby reducing the information content of the earnings announcement. Large firms are closely followed by institutional investors. These investors dedicate substantial resources to information search. Therefore, the link between size and information production may be attributable to the influence of institutional investors on the information production process. Because institutional trades can also affect security prices, however, the precise impact of institutional following on the variability of prices at quarterly earnings dates is not evident.
Analog-based free testosterone test results linked to total testosterone concentrations, not free testosterone concentrations.

BACKGROUND
Analog-based free testosterone test results, sex hormone binding globulin (SHBG) concentrations, and total testosterone concentrations are somehow related. This study used new experiments to clarify these relationships.


METHODS
An analog-based free testosterone immunoassay and a total testosterone immunoassay were applied to well-defined fractions of serum testosterone. First, they were applied to the 2 fractions (retentate and dialysate) of normal male serum obtained by equilibrium dialysis. Second, they were applied to covaried concentrations of SHBG and total testosterone. Third, they were applied to decreasing concentrations of SHBG and protein-bound testosterone, offset by increasing concentrations of protein-free testosterone, while total testosterone was held constant.


RESULTS
The analog-based free testosterone assay and the total testosterone assay detected and reported serum testosterone test results from serum retentate, whereas neither assay detected the free testosterone in serum dialysate. Test results reported by the analog-based free testosterone assay followed varied concentrations of SHBG and total testosterone. When total testosterone was held constant, however, analog-based free testosterone test results did not follow varied concentrations of serum proteins or of free testosterone.


CONCLUSION
An analog-based free testosterone immunoassay reported free testosterone test results that were related to total testosterone concentrations under varied experimental conditions. This alleged free testosterone assay did not detect serum free testosterone (the test results it reported were nonspecific) and should not be used for this purpose.
Long-Pentraxin 3 Derivative as a Small-Molecule FGF Trap for Cancer Therapy.

The fibroblast growth factor (FGF)/FGF receptor (FGFR) system plays a crucial role in cancer by affecting tumor growth, angiogenesis, drug resistance, and escape from anti-angiogenic anti-vascular endothelial growth factor therapy. The soluble pattern recognition receptor long-pentraxin 3 (PTX3) acts as a multi-FGF antagonist. Here we demonstrate that human PTX3 overexpression in transgenic mice driven by the Tie2 promoter inhibits tumor growth, angiogenesis, and metastasis in heterotopic, orthotopic, and autochthonous FGF-dependent tumor models. Using pharmacophore modeling of the interaction of a minimal PTX3-derived FGF-binding pentapeptide with FGF2, we identified a small-molecule chemical (NSC12) that acts as an extracellular FGF trap with significant implications in cancer therapy.