Miracle-dz/UniFAR-FTUs huggingface dataset:
Synergy between admission control and link adaptation in integrated voice/data cellular networks

The capacity maximization of integrated voice/data wireless cellular communication systems with link adaptation (LA) is addressed using the GSM/GPRS system as a case study. Only coding schemes CS-1 and CS-2 are used. Two different quality zones differentiated by signal quality are used and mapped to the two coding schemes. Data users in the good quality zone make use of CS-2 only; data users in the bad quality zone make use of CS-1 only. Also, we provide an overview of reported system performance analyses of integrated voice/data cellular systems. Finally, a resource allocation strategy, called triple link quality-aware fractional channel reservation (TLQAFCR), is proposed; it differentiates data users in the different quality coverage zones. Numerical results show that TLQAFCR effectively increases system capacity relative to strategies without user location differentiation. This is because, in TLQAFCR, preference is given to data users in the good quality (CS-2) zone which, on average, retain resources less time than data users in the bad quality (CS-1) zone. Numerical results also show that the use of the LA technique increases approximately 20% data system capacity and that the synergy between admission control and link adaptation yields more than 387% capacity gain.
Supply Chain Risk Management Research: Avenues for Further Studies

Organisations that are affected by supply chain risks will - if no risk-adjusting measures are available - experience more supply malfunctions or other adverse consequences. The paper at hand paper delivers a systematic review of the existing literature, featuring in-depth analysis and cognition on the ever-expanding supply chain risk management (SCRM) topic. The findings reveal that there is a lack of empirical evidence for the relational linkage between SCRM and performance. However, 'top' 24 antecedents for effective SCRM and various SCRM risk sources classified into supply-side, demand-side, external, and internal risks have been identified. The results of these useful insights allow for an identification of gaps to foster further investigations that will offer an advanced understanding of SCRM and its effect on performance. Hence, we contribute to the SCRM research stream by synthesising the highly fragmented and inconsistent literature that currently exists.
Projective Techniques in Marketing Research

I T IS a well accepted maxim in rnerchanwhat kind ofpeople drank each kind, and dizing that, in many areas, we are particularly, what differences there were selling the sizzle rather than the steak. between the two groups of consumers. Our market research techniques, howA survey was conducted which led up to ever, in many of these same areas, are the questions "Do you drink---directed toward the steak. The sizzle is beer? " (If yes) "Do you drink the Light the subjective reaction of the consumer; or Regular! " (These were the two trade the steak the objective characteristics of names under which the company marthe product. The consumer's behavior keted.) After identifying the consumers will be based on the former rather than of each product it was possible to find the latter set of characteristics. How can out about the characteristics of each we come to know them better? group so that appropriate appeals could When we approach a consumer dibe used, media chosen, etc. rectly with questions about his reaction An interesting anomaly appeared in to a product we often get false and misthe survey data, however. The interleading answers to our questions. Very viewing showed (on a reliable sample) often this is because the question which that consumers drank Light over Regular we heard ourselves ask was not the one in the ratio of 3 to I. The company had (or not the only one) that the respondent been producing and selling Regular over heard. For example: A brewery made two Light for some time in a ratio of 9 to I. kinds of beer. To guide their merchanClearly, the attempt to identify characdizing techniques they wanted to know teristics of the two kinds was a failure.
Signal injection and sensorless control of electrical motors. (Injection de signal et contrôle "sans capteurs" des moteurs électriques)

This thesis proposes an in-depth study of some aspects of "sensorless" control algorithms for electrical machines. Over the past few years, thanks to the progress made in electronics, "sensorless" control laws became a standard expected from any variable speed drive for any electrical motor. However low-speed "sensorless" operation of electrical motors is inherently difficult, due to a theoretical limitation explained here by an observability study. Signal injection is a promising solution to circumvent this limitation, but its effects are not yet fully understood. In particular, experimental results are not explained by traditional linear sinusoidal models for electrical motors.Hence a new modeling approach for electrical motors is proposed here. It is much simpler than the usual ones and explains thoroughly why saturation can be modeled in the nonphysical dq frame. Signal injection effects are then explained using a multiple time-scale approach and, when put into the general context of nonlinear systems, it turns out to be a technique which allows to obtain more information without adding sensors. Thanks to this additional information, sensorless control of electrical motor becomes theoretically possible, even though the implementation remains challenging due to industrial constraints. Models for the Synchronous Reluctance Motor and the Induction Motor at no load are designed using the proposed approach and calibrated on experimental data but the procedure failed for the Induction Motor under load due to a lack of measurements combined to hysteresis effects. Besides, thanks to the similarities between electrical motors, underlined by the proposed modeling approach, we are able to generalize the proof of a "sensorless" control law designed for Synchronous Reluctance Motors to any kind of Permanent Magnet Synchronous Motor.
The challenge of information overload

Information overload is one of the greatest challenges to individuals and organizations today. It affects productivity and therefore significantly impacts corporate costs. Additional challenges include mental overload and stress on individuals and the need for improved resources such as search engines and spam blockers. Possible solutions to this problem include knowledge management techniques, better strategies for maximizing use of the software and technological issues, and more careful text organization and design for all media.
Pre-Operative Psychological Characteristics of Gastric Band and Gastric Bypass Patients

Weight loss outcomes vary among different bariatric procedures, and may be partially due to differences in patient characteristics that are present preoperatively. In an observational study, laparoscopic adjustable gastric band (LAGB) and Roux-En-Y laparoscopic or open gastric bypass (RYGB) patients were compared on pre-op dimensions of depression, anxiety, and disordered eating. Results indicated that depression scores were in the mild range, and anxiety scores were in the mild range only for RYGB patients. In comparison to adults with eating disorders, scores on disordered eating scales were low. Cognitive-affective depression symptoms and several eating disorder subscale scores were higher in RYGB than in LAGB patients. This suggests that surgical candidates who choose RYGB surgery may differ psychologically from those who choose LAGB, although other factors impact choice of procedure also. Future research should delineate the decision-making process leading to the selection of a surgery type as well as the match of the patients to the demands of the post-op regimen.
Optimal Inductor Current in Boost DC/DC Converters Operating in Burst Mode Under Light-Load Conditions

This letter analyzes how the efficiency of boost dc/dc converters operating in burst mode under light-load conditions can be improved by an appropriate selection of the inductor current that transfers energy from the input to the output. A theoretical analysis evaluates the main power losses (fixed, conduction, and switching losses) involved in such converters, and how do they depend on the inductor current. This analysis shows that there is an optimal value of this current that causes minimum losses and, hence, maximum efficiency. These theoretical predictions are then compared with experimental data resulting from a commercial boost dc/dc converter (TPS61252), whose average inductor current is adjustable. Experimental results show that the use of the optimal inductor current, which was around 340 mA for an output voltage of 5 V, provides an efficiency increase of 7%.
Molecular Dynamic simulation study of stress memorization in Si dislocations

Stress-Memorization-Technique by Si dislocations is effective in enhancing NFET device performance [1,2]. For the first time, MD (Molecular Dynamic) simulations are applied to explain the formation mechanism of dislocations during the Solid-Phase-Epitaxy-Regrowth (SPER) process. A semi- empirical TCAD method based on lattice-KMC (L-KMC) is then developed to predict dislocation formation. The simulated dislocation positions agree well with silicon experiments characterized by TEM. TCAD simulations show that the resulting dislocations are along the [111] direction and provide ~650MPa average longitudinal stress in channel regions, consistent with Nano-Beam-Diffraction (NBD) strain measurement. The channel stress is predicted by simulation to further increase by 1.5X after the poly-silicon gate removal step in a replacement-gate process. The dislocation SMT enhances NFET electron mobility by 25% and Ion-Ioff performance by 15%.
Successful B2B Customer Database Management

Purpose – The paper aims to present a study of the question of customer information management in business‐to‐business (B2B) firms, what distinguishes firms that manage customer information well, and what internal processes are necessary for success.Design/methodology/approach – This paper summarizes the themes from several research studies using both qualitative and quantitative methods.Findings – The study finds that companies that distinguish themselves from others in the area of customer information management practices pay attention first to their company's overall strategy, establish and/or enforce data quality standards, involve functional departments in the development of customer databases and their applications, and use both relational and transactional data in their data applications.Practical implications – Managers in this area would do well to follow the precepts suggested in this work, especially in terms of developing quality databases before embarking on a customer marketing strategy.Orig.
Mitigating Bank Earnings Management - The Role of Regulation and Supervision

This paper analyzes whether differences in bank earnings management across countries can be linked to differences in the prevailing institutional and regulatory framework. Using a broad sample of 21,895 banks from 47 countries over the period 1990 to 2006, we consider three dimensions along which insiders can exercise their discretion to manage reported earnings: loss avoidance, income smoothing and earnings aggressiveness. We develop a measure for each of these three dimensions of bank earnings management per country and then combine them to obtain a measure of overall bank earnings management. We then examine whether and to what extent our bank earnings management measures are related to the restrictiveness of bank regulations and the degree of official and private supervision in a country. The results confirm our hypotheses. Our measure of overall earnings management is decreasing in the restrictiveness of bank regulations and the extent of official supervision. The biggest contribution to a reduction in overall earnings management, however, stems from private monitoring. The findings for our individual earnings management measures broadly corroborate those of our overall measure. An explorative ownership analysis further reveals that the propensity for bank earnings management is also dependent upon ownership form.
Design of a Cloud-based Bike-fleet POI Touring Service Platform

Travel lights are more and more popular. Many residents and travelers enjoy traveling using bikes in Taiwan. Hence, this study designs a Cloud-based Bike-fleet POI Touring Service Platform, which is called C-BOOST, to help people make travel plans. C-BOOST is composed of Bikers and a Cloud-based Digital Convergence Server (CDCS). Bikers can use a smart-phone to get potential Point of Interests (POIs), to get Location-based Services (LBSs), to update traveling itineraries and to manage bike-fleets. Cloud-based Digital Convergence Server is based on Mass Behaviors Model, which provides RSS, Google App Engine (GAE) and Quality Control Adaptor services. Quality Control Adaptor is composed of Ant Colony Optimization (ACO) algorithm, Bayesian Network and Ontology by users’ preferences and GPS values, providing potential POIs for bikers. C-BOOST can provide more suitable POIs for bikers.
Digestive functions regulated by 6-shogaol towards stomach and small intestine

Ginger is a well-known traditional Chinese medicine which has been identified with positive digestive function regulations e.g. vomit prevention and warming interior. 6-shogaol is one of ginger's major bioactive constituents. In this study, digestive functions regulated by 6-shogaol towards stomach and small intestine were investigated. Started with biomarkers regulated by 6-shogaol reported in PubMed literatures, functional protein-protein interactions (FPPI) from biomarkers to proteins expressed in stomach and small intestine were filtered out. These FPPIs form networks regulated by 6-shogaol. Based on these participant proteins, enrichment analysis mainly focused on metabolic processes e.g. proteolysis, fatty acid, purine, steroid, et al and immune responses. Taken together, through 6-shogaol, ginger can regulate a large variety of metabolic processes to enhance digestive functions so as to prevent vomit and warming interior via these enhanced digestive functions.
Analysis of electromagnetically induced acoustic emission under different magnetic field conditions

The ability of acoustic emission detection is enhanced by electromagnetic stimulation with external magnetic field. Different magnetic field directions, which are generated by permanent magnet, produce various vibrations of defect itself. In this paper, the deformation characteristics of electromagnetically induced acoustic emission (EMAE) are studied by the finite element method (FEM). The experimental data are compared by the signal reprocessing of sample entropy (SampEn), which under the condition of parallel and vertical magnetic field. The main conclusion is that characteristics of AE varied significantly under different magnetic field conditions, which provides crucial references for EMAE source. Meanwhile, this study leads to ratiocination that the application of parallel magnetic field reduces the demands of the power supply and improves the detection efficiency.
Random‐Primed, Phi29 DNA Polymerase‐Based Whole Genome Amplification

Whole‐genome amplification by multiple displacement amplification (MDA) is a patented method to generate potentially unlimited genomic material when researchers are challenged with trace samples, or the amount of genomic DNA required for analysis exceeds the amount on hand. It is an isothermal reaction, using Phi29 DNA polymerase and random hexamer primers for unbiased amplification of linear DNA molecules, such as genomic DNA. The random‐primed MDA reaction provides extensive amplification coverage of the genome, generates extremely long DNA products, and provides high DNA yields. This unit explains the reaction, and describes use of the commercial kits available. Curr. Protoc. Mol. Biol. 105:15.13. 1‐15.13. 16. © 2014 by John Wiley & Sons, Inc.
Ensemble Time Series Forecasting with XCSF

Time series forecasting constitutes an important aspect of any technical system, since the underlying data generating processes vary over time. In order to take system designers out of the loop, efforts for designing self-adaptive, learning systems have extensively been made. By means of forecasting the succeeding system state, the system is enabled to anticipate how to reconfigure itself for satisfying the upcoming conditions. Ensembleforecasting is a specific means of combining the forecasts of multiple independent forecast methods. In this work, we draw a picture of how the eXtended Classifier System for Function approximation (XCSF) can be utilised as a novel self-adaptive weighting approach for ensemble forecasting of univariate time series. We elaborate on the fundamental ideas and evaluate our proposed technique on the basis of several time series.
Systemic Importance of Insurance Companies – An Empirical Analysis

Insurance companies are increasingly being regulated under the assumption that, like banks, they pose systemic risk to the overall economy and especially the financial system. This analysis investigates this premise by comparing the systemic importance of insurance companies and the insurance industry with that of banks, brokers, real estate firms, and their respective industries. Empirical results suggest that intra-industry linkages exist among insurance firms, although they are comparatively weaker than those in banking and real estate. Moreover, systemic risks arising from the effects of distress in other economic sectors are lower for insurance companiesiaalthough not negligible. Given its size, systemic problems arising over time from the insurance industry would have a very disruptive macroeconomic impact.
THE NATIVE MEMBRANE FUSION MACHINERY IN CELLS

Recombinant SNAREs have been demonstrated as the minimal membrane fusion machinery. The participation of additional proteins in the regulation of membrane fusion has been suggested. In this study we provide nanometer‐resolution images of native NSF oligomers and SNARE complexes isolated from neurons and the pancreas. Our study reveals the presence of new coiled rod‐like structures in association with the SNARE complex only in neuronal tissue. Neuronal SNAREs were found coiled and super‐coiled with these structures. The existence of NSF as pentamers in its native state is also demonstrated. The extent of coiling and super‐coiling of SNAREs may regulate the potency and efficacy of membrane fusion in cells.
Prediction of outcome in patients with low‐grade squamous intraepithelial lesions by fluorescence in situ hybridization analysis of human papillomavirus, TERC, and MYC

Cytology is an excellent method with which to diagnose preinvasive lesions of the uterine cervix, but it suffers from limited specificity for clinically significant lesions. Supplementary methods might predict the natural course of the detected lesions. The objective of the current study was to test whether a multicolor fluorescence in situ hybridization (FISH) assay might help to stratify abnormal results of Papanicolaou tests.
Barrett's oesophagus, proton pump inhibitors and gastrin: the fog is clearing

The incidence of Barrett's oesophagus is rising rapidly.1 The presence of metaplastic tissue in the lower oesophagus is by itself an asymptomatic condition, but predisposes to oesophageal adenocarcinoma. Long-term cohort studies reported that the incidence of oesophageal cancer among patients with Barrett's oesophagus approximates 4 per 1000 patient years follow-up, and that ultimately 5–7% of patients with Barrett's oesophagus die of this condition.2 The majority of patients with Barrett's oesophagus suffer from chronic gastro-oesophageal reflux, and therefore often receive proton pump inhibitor (PPI) treatment. The effect of such treatment on Barrett's mucosa and the risk for progression to cancer have been much studied and debated. Reduction of oesophageal acid exposure decreases inflammation and proliferation, increases cell differentiation within the Barrett's segment, and might in theory reverse metaplasia, in particular in areas of ulceration. On the other hand, PPI therapy interferes with oesophageal exposure to secondary bile acids, and increases gastrin, which may induce proliferation, COX-2 upregulation, and perhaps expansion of metaplasia.3 Along this line it has been suggested that PPIs may promote progression of Barrett's metaplasia and progression to cancer. We thus have a body of seemingly conflicting research data, which are difficult to align and provide clinicians with a foggy image of this clinically relevant topic. …
Androgen Receptor Rearrangement and Splicing Variants in Resistance to Endocrine Therapies in Prostate Cancer

In the last few years, the survival of patients with castration-resistant prostate cancer (CRPC) has significantly improved as a result of the development of second-generation androgen deprivation therapies such as abiraterone and second-generation antagonists such as enzalutamide. However, CRPC patients rapidly develop resistance to these drugs, in many cases because of reactivation of the therapeutic target, the androgen receptor (AR) transcription factor. Several mechanisms responsible for AR transcriptional reactivation have been demonstrated, including mutation, amplification, and rearrangement of the AR gene, transcriptional compensation by alternative steroid receptors, and mutation or copy number alteration of genes encoding AR coregulators. In addition, CRPC tumors display elevated expression of truncated AR variants (AR-Vs) that can arise from alternative splicing or underlying AR gene rearrangements. In this review, we discuss general mechanisms of resistance to androgen/AR-targeted therapies, with a focus on the role of AR-Vs in conferring resistance to abiraterone or enzalutamide in CRPC patients.
Advances in understanding the leukaemia microenvironment

Dynamic interactions between leukaemic cells and cells of the bone marrow are a feature of haematological malignancies. Two distinct microenvironmental niches in the bone marrow, the ‘osteoblastic (endosteal)’ and ‘vascular’ niches, provide a sanctuary for subpopulations of leukaemic cells to evade chemotherapy‐induced death and allow acquisition of drug resistance. Key components of the bone marrow microenvironment as a home for normal haematopoietic stem cells and the leukaemia stem cell niches, and the molecular pathways critical for microenvironment/leukaemia interactions via cytokines, chemokines and adhesion molecules as well as hypoxic conditions, are described in this review. Finally, the genetic abnormalities of leukaemia‐associated stroma are discussed. Further understanding of the contribution of the bone marrow niche to the process of leukaemogenesis may provide new targets that allow destruction of leukaemia stem cells without adversely affecting normal stem cell self‐renewal.
Visualizing Small World Networks on sphere surface

Small world networks are common in many applications. Several researches have worked on visualizing small world network for analyses and discovering purpose. However, the results of these visualization technologies still have defect in interactive tasks and performance. Attracted by visualization on spherical surface with a nice balance between visual effect and navigation, we try to exploit fully spherical drawing in case of small-world network. To achieve better performance, this paper present a new fast FDA-based algorithm for fast drawing a small-world network. Its complexity, O(n+e), for each iteration is smaller than other FDA-based methods with O(n2) or O(nlogn). We also use implicit surface to achieve visual abstraction and metaphor of globe for the drawing. Experiment results have shown that our work has achieved improvement both in visual effect and performance than previous works.