Miracle-dz/UniFAR-FTUs huggingface dataset:
Customer Advocacy and Brand Management

Purpose In this article, we define and explore the strategic value of customer advocacy through the lens of the brand management literature. We review recent analysis of the value and vulnerabilities of brands and branding in order to understand why customer advocacy is becoming an attractive strategic option for many firms. Approach A model of empowered consumer value drivers is constructed to demonstrate how they are becoming an important source of brand value. Practical Applications We then introduce a framework for brand management in a customer advocacy context and illustrate it with examples of companies pursuing advocacy-based strategies and practices. Contribution of the Paper Finally, we conclude by discussing the opportunities presented to brand management when developing customer advocacy and summarise our contribution.
Prediction of drug class and adverse sideeffects based on induced gene expressionprofiles - a feasability study

One of the core businesses of biomedical study is to establish diseases/genes/drugs connections, which still remains as a fundamental challenge in today’s pharmacological and medical research due to the limited numbers of effective tools. Gene-expression profiling has historically served as a valuable resource for elucidating the mechanisms underlying biological pathways, for instance, the molecular pathological mechanism of certain diseases in biomedicine. However, few efforts have been put into exploring deeper knowledge of medication by means of gene expression profiling. The aim of the project reported here was to establish a systematic approach to the discovery of functional connections among gene expression, drug classification and drug action using statistical (machine) learning techniques available and refined in R and in RapidMiner. Based on the data derived from “Connectivity Map”resource (a large collection of 22000-dimensional gene-expression profiles induced in cultured human cells when treated with 1309 different drug molecules) the feasibility to establish a well performing classifier which can predict drug groups according to the Anatomical Therapeutic Chemical (ATC) system was explored. The same kind of classification approach was also applied to predict adverse side effects of drugs, available in the SIDER online database, using the same “Connectivity Map” gene expression data. In order to avoid information leaks between the classifier design and the subsequent test on new examples, which could future lead to over-optimistic conclusions, all feasibility studies were performed using carefully designed cross validation procedures. Although we succeeded in building a well performing classifier for one certain ATC group on the second level, the overall performance of classifiers when evaluated properly (no information leaks) was less promising than expected, for both ATC and side effect prediction. Therefore the main conclusion is that the “Connectivity Map” resource seems to contain surprisingly limited information with respect to these two prediction tasks.
Hope for the Pell? Institutional Effects in the Intersection of Merit-Based and Need-Based Aid

Prior empirical evidence finds that general enrollment effects of merit-aid programs such as the Georgia Helping Outstanding Pupils Educationally (HOPE) scholarship are large and significant, while the effects of need-based aid programs such as the Pell grant are modest and often insignificant. This paper uses new panel data on Pell awards to examine the influence of the Georgia HOPE scholarship on needy-student enrollments. We demonstrate that the introduction of merit aid in Georgia generally improves the college access of needy students and has been leveraged into greater federal Pell assistance. While institution-specific increases in both Pell enrollment and funding are largest at two-year and less selective four-year institutions, the results suggest that Pell students are not crowded out of more selective schools by HOPE's intent to retain the best Georgia high school students, as might have been anticipated.
SAR-SHARPENING IN THE KENNAUGH FRAMEWORK APPLIED TO THE FUSION OF MULTI-MODAL SAR AND OPTICAL IMAGES

Abstract. The Kennaugh framework turned out to be a powerful tool for the preparation of multi-sensor SAR data during the last years. Using intensity-based (an-) isotropic diffusion algorithms like the Multi-scale Multi-looking or the Schmittlets, even robust pre-classification change detection from multi-polarized images is enabled. The only missing point so far, namely the integration of multi-mode SAR data in one image, is accomplished in this article. Furthermore, the Kennaugh decomposition is extended to multi-spectral data as well. Hence, arbitrary Kennaugh elements, be it from SAR or optical images, can be fused. The mathematical description of the most general image fusion is derived and applied to four scenarios. The validation section considers the distribution of mean and gradient in the original and the fused images by the help of scatter plots. The results prove that the fused images adopt the spatial gradient of the input image with a higher geometric resolution and preserve the local mean of the input image with a higher polarimetric and thus also radiometric resolution. Regarding the distribution of the entropy and alpha angle, the fused images are always characterized by a higher variance in the entropy-alpha-plane and therewith, a higher resolution in the polarimetric domain. The proposed algorithm guarantees optimal information integration while ensuring the separation of intensity and polarimetric/spectral information. The Kennaugh framework is ready now to be used for the sharpening of multi-sensor image data in the spatial, radiometric, polarimetric, and even spectral domain.
MOSFET Analytical Inversion Charge Model with Quantum Effects using a Triangular Potential Well Approximation

The eigenfunctions from solutions of the Schrodinger equation for a triangular potential well are the Airy functions. The triangular potential approximation has been shown to be a good approximation for the charge density when the MOS device is in depletion or weak inversion. However, the approach has not had comparable success in approximating the inversion charge density when the device is at strong inversion (see Stern [1] and Moglestue [2]). In this paper we continue to use the triangular potential to estimate the inversion charge, but we use asymptotic solutions of the Poisson equation for the MOS device at strong inversion. The electrostatic potential asymptotic expression is given in [3], which was improved in [4]. Our analytical Schrodinger-Poisson (SP) result is compared with the Bohm potential [5] or Density-Gradient (DG) numerical solutions [6, 7] and Hansch analytical quantum models [8]. Our SP analytical model gives a close approximation to the full numerical inversion charge density simulation results of the DG model (see Figures 1 and 2).
Momentum forcing of the QBO by equatorial waves in recent reanalyses

The momentum forcing of the QBO by equatorial waves is estimated using recent reanalyses. Based on the estimation using the conventional pressure level datasets, the forcing by the Kelvin waves (3–9 m s−1 month−1) dominates the net forcing by all equatorial wave modes (3– 11 m s−1 month−1) in the easterly-to-westerly transition phase at 30 hPa. In the opposite phase, 5 the net forcing by equatorial wave modes is small (1–5 m s−1 month−1). By comparing the results with those from the native model-level dataset of the ERA-Interim reanalysis, it is suggested that the use of conventional-level data causes the Kelvin wave forcing to be underestimated by 2– 4 m s−1 month−1. The momentum forcing by mesoscale gravity waves, which are unresolved in the reanalyses, is deduced from the residual of the zonal wind tendency equation. In the easterly-to10 westerly transition phase at 30 hPa, the mesoscale gravity wave forcing is found to be smaller than the resolved wave forcing, whereas the gravity wave forcing dominates over the resolved wave forcing in the opposite phase. Finally, we discuss the uncertainties in the wave forcing estimates using the reanalyses.
What’s Dignity Got To Do With It? Patient Experience of the Dignity Care Intervention

The delivery of palliative care in the community setting has been recognized as a valued and challenging aspect of nursing care. To this end, care pathways have been shown to support nurses in a variety of settings to deliver individualized patient care. This study provides a qualitative evaluation of an end-of-life intervention known as the Dignity Care Intervention (DCI) based on patients’ perspectives. The DCI consists of four sections: a manual, the Patient Dignity Inventory, reflective questions, and evidence-based care actions. A qualitative design underpinned by the philosophy of Merlau-Ponty was employed for the evaluation of the DCI. Data collection included individual interviews with participants (n = 25). Interview data were analyzed using framework thematic analysis. Four theme categories were identified: “experience of DCI,” “responding to my illness concerns,” “how illness affects me as a person,” and “how illness concerns affect my relationships. ” The DCI was found to enable patients to discuss openly important issues with community nurses that they might not otherwise have raised. Participants conveyed satisfaction with the support they received through the DCI. The use of care pathways detailing interventions to manage clinical problems and ensure systematic integration of the best available evidence into care delivery can improve end-of-life care.
Negative emissions—Part 3: Innovation and upscaling

We assess the literature on innovation and upscaling for negative emissions technologies (NETs) using a systematic and reproducible literature coding procedure. To structure our review, we employ the framework of sequential stages in the innovation process, with which we code each NETs article in innovation space. We find that while there is a growing body of innovation literature on NETs, 59% of the articles are focused on the earliest stages of the innovation process, ‘research and development’ (R&D). The subsequent stages of innovation are also represented in the literature, but at much lower levels of activity than R&D. Distinguishing between innovation stages that are related to the supply of the technology (R&D, demonstrations, scale up) and demand for the technology (demand pull, niche markets, public acceptance), we find an overwhelming emphasis (83%) on the supply side. BECCS articles have an above average share of demand-side articles while direct air carbon capture and storage has a very low share. Innovation in NETs has much to learn from successfully diffused technologies; appealing to heterogeneous users, managing policy risk, as well as understanding and addressing public concerns are all crucial yet not well represented in the extant literature. Results from integrated assessment models show that while NETs play a key role in the second half of the 21st century for 1.5 °C and 2 °C scenarios, the major period of new NETs deployment is between 2030 and 2050. Given that the broader innovation literature consistently finds long time periods involved in scaling up and deploying novel technologies, there is an urgency to developing NETs that is largely unappreciated. This challenge is exacerbated by the thousands to millions of actors that potentially need to adopt these technologies for them to achieve planetary scale. This urgency is reflected neither in the Paris Agreement nor in most of the literature we review here. If NETs are to be deployed at the levels required to meet 1.5 °C and 2 °C targets, then important post-R&D issues will need to be addressed in the literature, including incentives for early deployment, niche markets, scale-up, demand, and—particularly if deployment is to be hastened—public acceptance.
Robust negative impacts of climate change on African agriculture

There is widespread interest in the impacts of climate change on agriculture in Sub-Saharan Africa (SSA), and on the most effective investments to assist adaptation to these changes, yet the scientific basis for estimating production risks and prioritizing investments has been quite limited. Here we show that by combining historical crop production and weather data into a panel analysis, a robust model of yield response to climate change emerges for several key African crops. By mid-century, the mean estimates of aggregate production changes in SSA under our preferred model specification are − 22, − 17, − 17, − 18, and − 8% for maize, sorghum, millet, groundnut, and cassava, respectively. In all cases except cassava, there is a 95% probability that damages exceed 7%, and a 5% probability that they exceed 27%. Moreover, countries with the highest average yields have the largest projected yield losses, suggesting that well-fertilized modern seed varieties are more susceptible to heat related losses.
Why Brazil has not grown: a comparative analysis of Brazilian and Chinese economic management.

This paper aims to answer a very basic question asked by not only Brazilians, but people in other developing countries where liberal reform agendas were oversold, namely: why has China grown so rapidly and Brazil not. The first section establishes the basis for comparison between China and Brazil by contextualizing these countries within the BRICs concept. The second section aims at a partial explanation by surveying the results of a generation of Washington Consensus era growth. Given the agnosticism about total liberal packages and the puzzle of why incomplete reformers grew better, the paper engages in a comparative analysis of Brazilian and Chinese reforms focusing only on the issue of macroeconomic policy, especially the monetary and exchange rate regimes, and its effect on growth in the third section. That is, the Brazilian experience with inflation targeting and flexible exchange rate regime, since 1999, has contributed to slow start-stop growth and has been relatively high inflation, while the more managed approaches favored by China have done the reverse. Finally, the paper concludes offering policy advice to the other developing countries, BRICs, N-11, or otherwise.
Anaplerosis of Estrogen Confers Protection of Cardiac Injury and Cardiomyocyte Apoptosis in Isoproterenol Challenged Rat

Previous investigations have indicated that premenopausal women show lower cardiovascular risk than men and postmenopausal women. It is suggested that estrogen has protective effects on myocardial function. However, the cardioprotective mechanisms of estrogen in humans and mammals are still elusive. We studied the effect of ovarian hormone deficiency and estrogen anaplerosison cardiac injury and cardiomyocyte apoptosis in Isoproterenol (ISO) challenged rats. Female Sprague–Dawley rats with bilateral Ovariectomy (OVX) or sham operation (Sham) were divided into 5 groups: sham surgery (Sham), OVX+vehicle (vehi), OVX+Isoproterenol (ISO), OVX+E2a (estrogen, 4 µg/kg/d), OVX+ISO+E2b (estrogen, 40 µg/kg/d). ISO (100 mg/kg/d, sc) was administrated for 5 days to induce myocardial injury, followed by estrogen anaplerosis (0-40 µg/ kg/d) for 4 weeks. Our results indicated that ISO significantly reduced myocardial pump function, increased hypertrophy and apoptosis of cardiomyocytes, and reduced single cardiomyocyte contractility. Anaplerosis of high-dose estrogen (40 µg/kg/d) dramatically restored ISO induced cardio injury and dysfunction, and inhibited ISO induced decrease of cardiomyocyte contractility, myocardial hypertrophy and cardiomyocyte apoptosis through increasing the expression of Bcl-2, inhibition of caspas-3 activation and expression of Bax. Interestingly, lowdose treatment with estrogen (4 µg/kg/d) has also shown marginally protective effects on ISO induced heart injury and cardiomyocyte dysfunction. These data suggest that estrogen anaplerosis has cardioprotective effects on ISO treated rats through the protection of cardiomyocyte apoptosis and hypertrophy and decrease of contractility.
Dual-Band Filter for WiMAX and WLAN with Improved Upper Stop Band Performance

In this paper, a novel and compact dual-band fllter with enhanced upper stop characteristics has been presented. Dual band pass fllter characteristics are achieved by introducing transmission zero (TZ) in pass band of band pass fllter (BPF). The wide band pass fllter (BPF) is implemented by combining low pass fllter characteristics (i.e., stepped impedance resonator) and high pass fllter characteristics (i.e., short stubs). Closed rectangular ring resonator (CRRR) and open loop rectangular ring (OLRR) combination is used to produce two transmission zeros (TZs). One TZ is placed on the pass band of BPF such that resultant fllter characteristic consists of two pass band. However, the second TZ is placed at edge of the pass band in BPF to improve skirt selectivity. The two pass bands are designed to cover two popular wireless bands namely WiMAX (center frequency f1 (3.5GHz) and WLAN (center frequency f2 (5.7GHz)) bands, i.e., 3.35{3.65GHz and 5.5{5.85GHz respectively. Equi-ripple low pass stepped impedance resonator (SIR) fllter response is responsible for improved and spurious free upper stop band (> 20GHz, i.e., > 6f1) and also provides sharp skirt attenuation at upper stop band. The proposed fllter is implemented on an RT/Duroid 5880 ("r = 2:2) substrate with thickness of 0.785mm and surface area of 19 £ 12sq ¢ mm. Good agreement between simulated and measured results ensures that the proposed fllter is a suitable candidate for modern dual band communications.
Industry momentum effect and autocorrelation: evidence from Taiwan

The investigation of the momentum effect is important because this phenomenon indicates the predictability of the future return, which means that the momentum strategy can make profits. Past literature has found the industry momentum effect in American, European countries and indicated that the industry momentum effect mainly comes from the return autocorrelations. Little literature documents the industry momentum effect in emerging markets. Thus, the first purpose of this paper is to investigate whether the industry momentum effect also exists in the Taiwan stock market which is an emerging one toward maturity. The second purpose of this study is to compare the industry momentum effect between the all-industry group and the positive-autocorrelation industry group. This study contributes on that the positive-autocorrelation industry momentum strategy has higher returns and more of the formation and holding cells are significantly positive compared with the all-industry momentum strategy in Taiwan. Although past studies have verified that autocorrelation is one of the important sources of industry momentum profits, they did not explore the industry momentum effect of the positive-autocorrelation industries. Therefore, we supplement past studies by focusing on the positive-autocorrelation industries. We find that the industry momentum effect does not disappear; rather, it hides in the positive-autocorrelation industries. Moreover, the positive autocorrelation is related to the transfer of funds. The turnover rate which is the proxy of the transfer of funds can explain the positive autocorrelation of the industry returns.
Effects of Storage Time on the Quality of Local Chicken Meat

An experiment was carried out to investigate the proximate composition and effects of aging time on local chicken meat quality. For proximate analysis, 24 male and 24 female breast, thigh and drumstick samples from one half of the carcass were skinned, de-boned and frozen at -20 o C. The samples were minced through a 5mm plate meat-grinding machine and vacuum packed prior to analyses. Proximate composition analysis of minced meat samples were performed on wet basis. The other half carcasses samples were chilled for 4, 6, 12 and 24 hours post mortem (PM) at 4 o C. pH values were measured for each sample followed by storage at -20 o C to arrest further changes in meat. Cooking loss and meat tenderness were determined for these samples. The proximate analysis showed that females had higher (P<0.05) overall dry matter and ether contents than males, while CP% and ash content were similar in the two sexes. Breast meat had higher (P<0.05) CP and ash content than meat cuts from the leg. Generally, breast meat had lower (P<0.05) pH (5.89) compared to meat from the thigh (6.14) and drumstick (6.15). pH of breast meat at 24 hours PM (5.82) was lower than that recorded at 4, 6 and 12 hours PM. Tenderness of meat as measured by shear force values significantly improved with storage time and decline in shear force values was more accentuated in the first six hours of aging. After this period, the values were less than 13.3N for drumstick and 18.9 N for both breast and thigh. The effect of storage time on cooking loss was more pronounced in leg meat than breast meat and cooking loss was much less when meat parts stored for 24 h. For production of acceptable tender meat from local chicken, the ideal cold storage time can be set at between 4 to 6 hours. Key Words: Local chicken, Aging, Cooking loss, Meat pH, Tenderness, Proximate composition
LOCK: Locating Countermeasure-Capable Prefix Hijackers

Prefix hijacking is known as one of the security threats on today’s Internet. A number of measurement based solutions have been proposed to detect prefix hijacking even ts. In this paper we take these solutions one step further by addres sing the problem of locating the attacker in each of the detected hijacking event. Being able to locate an attacker is critical for deciding at the earliest time the proper mitigation mechani sms to invoke to limit the impact of the attack and successfully stopping the attack. In this paper, we propose a robust scheme named LOCK, LOcating Countermeasure-capable hijacKers, for locating the prefix hijacker ASes based on distributed data-plane Internet measurements. LOCK locates each attacker AS by actively monitoring paths to the victim prefix from a small number of carefully selected monitors distributed on the Internet. More importantly, LOCK is robust against various countermeasures that the hijackers may employ. This is achieved by taking advantage of two observations: that the hijacker cannot manipulate the data-plane path before a packet reaches the hijacker, an d that the data-plane paths to victim prefix “converge” around the hijacker AS. We have deployed LOCK on a number of PlanetLab nodes and conducted several large scale measurem nts and experiments to evaluate the performance of LOCK against three sets of hijacking attacks: synthetic attacks, recons tructed previously known attacks, and controlled attacks on the Int ernet. Our evaluation results show that LOCK is able to pinpoint the prefix hijacker AS with an accuracy of over 90%.