LLukas22/scidocs huggingface dataset:
EFFECT OF CUSTOMER RELATIONSHIP MANAGEMENT ON PERCEIVED ORGANIZATIONAL PERFORMANCE- A CASE STUDY OF FAMILY BANK LIMITED JULIUS MBUGUA WACHIRA, DR. SUSAN WERE

Customer satisfaction is central to achieving a competitive advantage and should be viewed as an integral part of relationship building that is underpinned by CRM. A defined organizational culture can provide the necessary leadership that ensures that staffs attain high levels of performance. Customer service should be placed in a strategic marketing context, which means that marketers can develop a high quality customer service policy and the organization can put a customer response system in place which ensures that customer service is seen as customer focused. There is an increased need to constantly reengineer business strategies that improve the customer experience and increase profitability for the company. The study sought to determine the effect of customer relationship management (CRM) on the perceived organisational performance with a case of Family Bank Limited. Based on the research topic, the study addressed the research problem by addressing the following research objectives; to determine the effect of changes in the organizational culture on the perceived organizational performance of Family bank limited, to establish the effect of customer retention strategies on the perceived organizational performance of family bank limited, to determine the effect of technology on the perceived organizational performance of family bank limited, and to establish the effect of service quality management on the perceived organizational performance of family bank limited. The study reviewed related literature under theoretical and empirical review to facilitate in identifying the research gap. The study adopted a descriptive research design to address the research objectives. In this case sampling was done using a systematic random sampling technique to select the participating staff in all the bank branches covered. Data was collected in form of both primary and secondary data. The collected data was analysed using both qualitative and quantitative data analysis techniques using the Statistical Package for Social Sciences (SPSS version 22).The study found out that customer relationship management has a positive effect on the performance of the bank.The study found out that service quality management was the dimension of CRM that affected the performance of the bank to a very great extent. Therefore, the study recommended that there was a need for organizations to have training and development that are directed at building enduring customer relationships.
Development and Implementation of a Chat Bot in a Social Network

This document describes how to implement a Chat Bot on the Twitter social network for entertainment and viral advertising using a database and a simple algorithm. Having as a main theme a successfully implementation of a Chat Bot preventing people classify it as SPAM, as a result of this a Twitter account (@DonPlaticador) that works without the intervention of a person and every day earns more followers was obtained.
Structure of the human FOXO4-DBD-DNA complex at 1.9 Å resolution reveals new details of FOXO binding to the DNA.

FOXO4 is a member of the FOXO subgroup of forkhead transcription factors that constitute key components of a conserved signalling pathway that connects growth and stress signals to transcriptional control. Here, the 1.9 Å resolution crystal structure of the DNA-binding domain of human FOXO4 (FOXO4-DBD) bound to a 13 bp DNA duplex containing a FOXO consensus binding sequence is reported. The structure shows a similar recognition of the core sequence as has been shown for two other FOXO proteins. Helix H3 is docked into the major groove and provides all of the base-specific contacts, while the N-terminus and wing W1 make additional contacts with the phosphate groups of DNA. In contrast to other FOXO-DBD-DNA structures, the loop between helices H2 and H3 has a different conformation and participates in DNA binding. In addition, the structure of the FOXO4-DBD-DNA complex suggests that both direct water-DNA base contacts and the unique water-network interactions contribute to FOXO-DBD binding to the DNA in a sequence-specific manner.
Measuring, analyzing and predicting security vulnerabilities in software systems

In this work we examine the feasibility of quantitatively characterizing some aspects of security. In particular, we investigate if it is possible to predict the number of vulnerabilities that can potentially be present in a software system but may not have been found yet. We use several major operating systems as representatives of complex software systems. The data on vulnerabilities discovered in these systems are analyzed. We examine the results to determine if the density of vulnerabilities in a program is a useful measure. We also address the question about what fraction of software defects are security related, i.e., are vulnerabilities. We examine the dynamics of vulnerability discovery hypothesizing that it may lead us to an estimate of the magnitude of the undiscovered vulnerabilities still present in the system. We consider the vulnerability discovery rate to see if models can be developed to project future trends. Finally, we use the data for both commercial and opensource systems to determine whether the key observations are generally applicable. Our results indicate that the values of vulnerability densities fall within a range of values, just like the commonly used measure of defect density for general defects. Our examination also reveals that it is possible to model the vulnerability discovery using a logistic model that can sometimes be approximated by a linear model. a 2006 Elsevier Ltd. All rights reserved.
Real-Time Charging Management Framework for Electric Vehicle Aggregators in a Market Environment

A framework for real-time (RT) charging management of an electric vehicle aggregator (EVA) participating in electric energy and regulation markets is proposed. The developed models, which assign charging set points to the electric vehicles (EVs) based on evolving EV charging priorities, are formulated as linear programs that can be solved very fast. A model of the most common (constant current-constant voltage) battery charging method is also presented. A case study is examined, where an EVA representing 1000 EVs participates in the day-ahead and RT energy and regulation markets, and manages the RT charging of the EVs in his fleet based on the developed framework. Through this approach, conclusions on the impact of the charging priority parameterization for the RT EV charging management, the value of the dynamic regulation signal on the reliable EV participation in the regulation market, and the impact of the detailed battery modelling are derived.
Low-Intensity Agricultural Landscapes in Transylvania Support High Butterfly Diversity: Implications for Conservation

European farmland biodiversity is declining due to land use changes towards agricultural intensification or abandonment. Some Eastern European farming systems have sustained traditional forms of use, resulting in high levels of biodiversity. However, global markets and international policies now imply rapid and major changes to these systems. To effectively protect farmland biodiversity, understanding landscape features which underpin species diversity is crucial. Focusing on butterflies, we addressed this question for a cultural-historic landscape in Southern Transylvania, Romania. Following a natural experiment, we randomly selected 120 survey sites in farmland, 60 each in grassland and arable land. We surveyed butterfly species richness and abundance by walking transects with four repeats in summer 2012. We analysed species composition using Detrended Correspondence Analysis. We modelled species richness, richness of functional groups, and abundance of selected species in response to topography, woody vegetation cover and heterogeneity at three spatial scales, using generalised linear mixed effects models. Species composition widely overlapped in grassland and arable land. Composition changed along gradients of heterogeneity at local and context scales, and of woody vegetation cover at context and landscape scales. The effect of local heterogeneity on species richness was positive in arable land, but negative in grassland. Plant species richness, and structural and topographic conditions at multiple scales explained species richness, richness of functional groups and species abundances. Our study revealed high conservation value of both grassland and arable land in low-intensity Eastern European farmland. Besides grassland, also heterogeneous arable land provides important habitat for butterflies. While butterfly diversity in arable land benefits from heterogeneity by small-scale structures, grasslands should be protected from fragmentation to provide sufficiently large areas for butterflies. These findings have important implications for EU agricultural and conservation policy. Most importantly, conservation management needs to consider entire landscapes, and implement appropriate measures at multiple spatial scales.
Considering High-Performance Near-Field Reader Antennas: Comparisons of Proposed Antenna Layouts for Ultrahigh-Frequency Near-Field Radio-Frequency Identification

Radio-frequency identification (RFID) is being widely used in supply chain and logistics applications for wireless identification and the tracking and tracing of goods, with excellent performance for the long-range interrogation of tagged pallets and cases (up to 4-6 m, with passive tags). Item-level tagging (ILT) has also received much attention, especially in the pharmaceutical and retail industries. Low-frequency (125-134 KHz) and high-frequency (HF) (13.56 MHz) RFID systems have traditionally been used for ILT applications, where the radio-frequency (RF) power from the reader is delivered to the passive tags by inductive coupling. Recently, ultra-HF (UHF) (840-960 MHz) near-field (NF) RFID systems [1] have attracted increasing attention because of the merits of the much higher reading speed and capability to detect a larger number of tags (bulk reading). A UHF NF RFID system is a valuable solution to implement a reliable short-range wireless link (up to a few tens of centimeters) for ILT applications. Because the tags can be made smaller, RFID-based applications can be extended to extremely minuscule items (e.g., retail apparel, jewelry, drugs, rented apparel) as well as the successful implementation of RFID-based storage spaces, smart conveyor belts, and shopping carts.
Optimal Linear Combinations of Neural Networks

Neural network-based modeling often involves trying multiple networks with different architectures and training parameters in order to achieve acceptable model accuracy. Typically, one of the trained networks is chosen as best, while the rest are discarded. [Hashem and Schmeiser (1995)] proposed using optimal linear combinations of a number of trained neural networks instead of using a single best network. Combining the trained networks may help integrate the knowledge acquired by the components networks and thus improve model accuracy. In this paper, we extend the idea of optimal linear combinations (OLCs) of neural networks and discuss issues related to the generalization ability of the combined model. We then present two algorithms for selecting the component networks for the combination to improve the generalization ability of OLCs. Our experimental results demonstrate significant improvements in model accuracy, as a result of using OLCs, compared to using the apparent best network. Copyright 1997 Elsevier Science Ltd.
Credit Card Fraud Detection using Neural Network

Fraud detection has become an important issue to be explored. Fraud detection involves identifying fraud as quickly as possible once it has been perpetrated. Fraud is often a dynamic and challenging problem in Credit card lending business. Credit card fraud can be broadly classified into behavioral and application fraud, with behavioral fraud being the more prominent of the two. Supervised Modeling/Segmentation techniques are commonly used in fraud
Prevention And Treatment of Hypertension With Algorithm-based therapy (PATHWAY) number 2: protocol for a randomised crossover trial to determine optimal treatment for drug-resistant hypertension

INTRODUCTION
Resistant hypertension is inadequately controlled blood pressure (BP) despite treatment with at least three BP-lowering drugs. A popular hypothesis is that resistant hypertension is due to excessive Na(+)-retention, and that 'further diuretic therapy' will be superior to alternative add-on drugs.


METHODS AND ANALYSIS
Placebo-controlled, random crossover study of fourth-line treatment when added to standard (A+C+D) triple drug therapy: ACE inhibitor or Angiotensin receptor blocker (A) +Calcium channel blocker (C)+Diuretic (D). Patients (aged 18-79 years) with clinical systolic BP ≥ 140 mm Hg (135 mm Hg in diabetics) and Home BP Monitoring (HBPM) systolic BP average ≥ 130 mm Hg on treatment for at least 3 months with maximum tolerated doses of A+C+D are randomised to four consecutive randomly allocated 12-week treatment cycles with an α-blocker, β-blocker, spironolactone and placebo. The hierarchical coprimary end point is the difference in HBPM average systolic BP between (in order) spironolactone and placebo, spironolactone and the average of the other two active drugs, spironolactone and each of the other two drugs. A key secondary outcome is to determine whether plasma renin predicts the BP response to the different drugs. A sample size of 346 (allowing 15% dropouts) will confer 90% power to detect a 3 mm Hg HBPM average systolic BP difference between any two drugs. The study can also detect a 6 mm Hg difference in HBPM average systolic BP between each patient's best and second-best drug predicted by tertile of plasma renin.


ETHICS AND DISSEMINATION
The study was initiated in May 2009 and results are expected in 2015. These will provide RCT evidence to support future guideline recommendations for optimal drug treatment of resistant hypertension.


TRIAL REGISTRATION NUMBER
Clinicaltrials.gov NCT02369081, EUDract number: 2008-007149-30.
Hypofractionated radiotherapy with or without IGRT in prostate cancer: preliminary report of acute toxicity.

BACKGROUND
To evaluate the acute tolerance to hypofractionated schedule of patients with prostate cancer.


PATIENTS AND METHODS
We treated 62 patients with intermediate risk prostate cancer. All patients were treated with a total dose of 43.8 Gy on seminal vesicles and 54.75 Gy on prostate, 3.65 Gy per fraction, three times a week for a total of 5 weeks. All patients underwent neoadjuvant, concomitant and adjuvant hormonal therapy. Thirty-six patients were submitted to image-guided radiation therapy (IGRT).


RESULTS
Median follow-up was 15 months (range 3-33 months). Toxicities during the treatment were: grade 1-2 gastrointestinal (GI) toxicity, 22.6%; grade 1-2 genitourinary (GU) toxicity, 51.6%. Toxicities 3 months after the end of the treatment were grade 1-2 GI 6.5%, grade 1-2 GU 9.7%. No statistical difference was observed comparing acute toxicity in patients treated with or without IGRT.


CONCLUSION
This study showed that the hypofractionation schedule used is well tolerated, with a low rate of acute grade 1-2 GI toxicity and without major grade (≥3) acute toxicity. Longer follow-up is needed to determine if this low rate of acute toxicity will be translated in a low rate of late toxicity.
3D fluorescent in situ hybridization using Arabidopsis leaf cryosections and isolated nuclei

Fluorescent hybridization techniques are widely used to study the functional organization of different compartments within the mammalian nucleus. However, few examples of such studies are known in the plant kingdom. Indeed, preservation of nuclei 3D structure, which is required for nuclear organization studies, is difficult to fulfill. We report a rapid protocol for fluorescent in situ hybridization (FISH) performed on 3D isolated nuclei and thin cryosectioned leaves of Arabidopsis thaliana. The use of direct labeling minimized treatment steps, shortening the overall procedure. Using image analysis, we measured different parameters related to nucleus morphology and overall 3D structure. Our work describes a 3D-FISH protocol that preserves the 3D structure of Arabidopsis interphase nuclei. Moreover, we report for the first time FISH using cryosections of Arabidopsis leaves. This protocol is a valuable tool to investigate nuclear architecture and chromatin organization.
Beta-blockers in older patients with heart failure and preserved ejection fraction: class, dosage, and outcomes.

BACKGROUND
We examined the clinical effectiveness of beta-blockers considered evidenced-based to heart failure and reduced ejection fraction (HFrEF) and their recommended target doses in older adults with HF and preserved ejection fraction (HFpEF).


METHODS
In OPTIMIZE-HF (2003-2004) linked to Medicare (2003-2008), of the 10,570 older (age ≥ 65 years, mean, 81 years) adults with HFpEF (EF ≥ 40%, mean 55%), 8373 had no contraindications to beta-blocker therapy. After excluding 4614 patients receiving pre-admission beta-blockers, the remaining 3759 patients were potentially eligible for new discharge prescriptions for beta-blockers and 1454 received them. We assembled a propensity-matched cohort of 1099 pairs of patients receiving beta-blockers and no beta-blockers, balanced on 115 baseline characteristics. Evidence-based beta-blockers for HFrEF, namely, carvedilol, metoprolol succinate, and bisoprolol and their respective guideline-recommended target doses were 50, 200, and 10mg/day.


RESULTS
During 6 years of follow-up, new discharge prescriptions for beta-blockers had no association with the primary composite endpoint of all-cause mortality or HF rehospitalization (hazard ratio, 1.03; 95% confidence interval {CI}, 0.94-1.13; p=0.569). This association did not vary by beta-blocker evidence class or daily dose. Hazard ratios for all-cause mortality and HF rehospitalization were 0.99 (95% CI, 0.90-1.10; p=0.897) and 1.17 (95% CI, 1.03-1.34; p=0.014), respectively. The latter association lost significance when higher EF cutoffs of ≥45%, ≥50% and ≥55% were used.


CONCLUSIONS
Initiation of therapy with beta-blockers considered evidence-based for HFrEF and in target doses recommended for HFrEF had no association with the composite or individual endpoints of all-cause mortality or HF rehospitalization in HFpEF.
Two years of continued early treatment for recent-onset schizophrenia: a randomised controlled study.

OBJECTIVE
This random-controlled study evaluated benefits derived from continued integrated biomedical and psychosocial treatment for recent-onset schizophrenia.


METHOD
Fifty cases of schizophrenia of less than 2 years duration were allocated randomly to integrated or standard treatment (ST) for 2 years. ST comprised optimal pharmacotherapy and case management, while IT also included cognitive-behavioural family treatment, that incorporated skills training, cognitive-behavioural strategies for residual psychotic and non-psychotic problems and home-based crisis management. Psychopathology, functioning, hospitalisation and suicidal behaviours were assessed two monthly and a composite index, reflecting overall clinical outcome was derived.


RESULTS
IC proved superior to ST in reducing negative symptoms, minor psychotic episodes and in stabilising positive symptoms, but did not reduce hospital admissions or major psychotic recurrences. The composite index showed that significantly more IC patients (53%) had excellent 2-year outcomes than ST (25%).


CONCLUSION
Evidence-based treatment achieves greater clinical benefits than pharmacotherapy and case management alone for recent-onset schizophrenia.
Volatility Risk Premiums Embedded in Individual Equity Options: Some New Insights

FALL 2003 THE JOURNAL OF DERIVATIVES 45 The research indicates that index option prices incorporate a negative volatility risk premium, thus providing a possible explanation of why Black-Scholes implied volatilities of index options on average exceed realized volatilities. This examination of the empirical implication of a market volatility risk premium on 25 individual equity options provides some new insights.
Ambulatory arterial stiffness index in Turner syndrome: the impact of sex hormone replacement therapy.

BACKGROUND
Morbidity and mortality from congenital and acquired cardiovascular (CV) disease is increased in Turner syndrome (TS), where traditional indices of CV risk are widely present but the single most common feature remains estrogen deficiency.


AIM
To investigate CV risk in TS as expressed by the widely available ambulatory arterial stiffness index (AASI) and the impact of female sex hormone replacement therapy (HRT) hereon.


METHODS
TS women (n = 26) were examined following HRT washout and again during 6 months of HRT. Age-matched healthy female controls (n = 24) were examined once. 24-Hour ambulatory blood pressures, AASI in addition to metabolic and anthropometric indices of CV risk were measured.


RESULTS
The relatively tachycardic TS women had higher systolic and diastolic blood pressures. HRT reduced diastolic blood pressures with an increase in physical fitness, worsening of glucose tolerance, and a reduction in high-density lipoprotein. AASI was significantly elevated in TS when compared to controls (0.36 (0.02) vs. 0.26 (0.03), p = 0.01) but unaffected by HRT. Major explanatory variables to AASI were status (being TS or not), age, and diurnal pulse variability.


CONCLUSION
AASI was elevated in TS, possibly indicating elevated CV risk with no impact of short-term HRT.
Paracetamol 325 mg/tramadol 37.5 mg effect on pain during needle electromyography: a double-blind crossover clinical trial

Needle insertion during electromyography (EMG) may cause varying levels of pain that could lead to inaccurate assessment and premature termination of the procedure. The aim of this study is to compare paracetamol 325 mg/tramadol 37.5 mg with placebo in relieving pain before EMG. This is a randomized, crossover, placebo-controlled, double-blind clinical trial; forty-four healthy individuals, including 27 males with a mean age of 35.3 years (range 18–59 years), entered this study. The needles were inserted unilaterally 2 h after administration of two analgesic tablets of paracetamol 325 mg/tramadol 37.5 mg or two placebo tablets. The pain was scored through a 100-mm visual analog scale (VAS) immediately and 2 h after the procedure. The side effects were also recorded. Within a week, the procedure was repeated on the other upper limb, changing the treatment and placebo. The immediate and 2-h VAS scores were notably lower after administration of treatment compared to placebo (immediate pain: 17.5 ± 12.8 vs. 32.1 ± 16.0, P < 0.001; and 2-h pain: 1.6 ± 5.6 vs. 5.8 ± 7.9, P = 0. 002). There was a higher prevalence of side effects when treatment was used (48 vs. 9 %, P < 0.001). Although most symptoms were mild, transient and resolved without medical interventions, on one occasion a volunteer experienced brief loss of consciousness and one subject had severe vertigo that required hospitalization and fluid therapy. Paracetamol 325 mg/tramadol 37.5 mg administration prior to EMG could effectively alleviate pain. Further application of this medication in patients with neuromuscular disorders would warrant additional clinical trials, particularly considering the adverse events.
The Use of Quantitative Tools in Economics: Best Alternative

Not available. Key words: Economics; Social Science; Political economy Tribhuvan University Journal Volume XVI, 1993 Page: 50-58 Uploaded date: 3 October, 2010