Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of the Determinants of Effective Relationship Marketing Practices on Organisational Growth in the Medium Sized Hotel Industry of Pakistan

The current study evaluates the determinants of effective relationship marketing (RM) practices on the organisational growth in the medium sized hotel industry of Pakistan. To attain the information about the topic, Hotel Days Inn has been selected. The current study has used the quantitative research design for obtaining the desired information. The developed survey questionnaire was distributed among the 273 customers of the Hotel Days Inn. In the study, a series of non-parametric tests like Chi-square, Descriptive analysis, and Spearman Rank Correlation was performed for quantitative findings. With the help of such statistical findings, it was observed that most of the research variables were taken into consideration due to their positive relationship with the organisational growth. That is, the Spearman correlation value for the customer satisfaction and organisational growth was calculated as 0.968 explaining the strong relation between the research variables. The developed research also displays different determinants for RM practices that has a direct influence on the organisational growth of the medium sized hotel industry of Pakistan. The acquired results of research also help the researcher in developing recommendations. These recommendations were based on the targeting practices of the hotels for attracting the customers and hiring of the trained and skilled staff that can positively influence the organisational growth and improve the RM practices.
An improved model for sentiment analysis on luxury hotel review

This article proposes a heuristic model for sentiment analysis on luxury hotel reviews to analyse and explore marketing insights from attitudes and emotions expressed in reviews. We make several significant contributions to visual and multimedia analytics. This research will develop the practical application of visual and multimedia analytics as the research foundation is based on information analytics, geospatial analytics, statistical analytics and data management. Large amounts of data are generated by hotel customers on the Internet, which provides a good opportunity for managers and analysts to explore the hidden information. The analysis of luxury hotels involves different types of data, including real‐world scale data, high‐dimensional data and geospatial data. The diversity of data increases the difficulty of processing computational visual analytics. It leads to that some classical classification methods, which cost too much time and have high requirements for hardware, are excluded. The goal is to achieve a compromise between performance and cost. An experiment of this model is operated using data extracted from Booking.com. The entire framework of this experiment includes data collection, data preprocessing, feature engineering consisting of term frequency‐inverse document frequency and Doc2Vec based feature generation and feature selection, Random Forest classification, data analysis and data visualization. The whole process combines statistical analysis, review sentiment analysis and visual analysis to make full use of this dataset and gain more decision‐making information to improve luxury hotels' service quality. Compared with simple sentiment analysis, this integrated analytics in social media is expected to be used in practice to gain more insights. The result shows that luxury hotels should focus on staff training, cleanness of rooms and location choice to improve customer satisfaction. The sentiment distribution shows that scores are consistent with the emotion they show in reviews. Hotels in Spain have a much better average score than hotels in the other five countries. In the experiment, the sentiment analysis model is evaluated by receiver operating characteristic and precision‐recall curve. It is proved that this model performs well. Twenty most essential features have been listed for future adjustments to the model.
The lasting impacts of outdoor adventure residential experiences on young people

ABSTRACT Evidence from four retrospective empirical research studies on lasting impacts (>12 months) of outdoor residential experiences for young people in the UK since 2015 are examined through a form of systematic review of papers and datasets. Thematic and comparative analysis identified lasting impacts as: self-confidence, independence and communication. Respondents also identified confidence, teamwork, life skills, intra-personal skills and the take up of new opportunities/activities as the impacts of use in young people’s lives since their residential experience. A steps of change process within a theory of change model is used to examine the causal chains and attributes influencing outcomes. The intensity and challenge of the outdoor adventure residentials, and the power of groups, influence lasting impacts. These findings from large datasets across a range of contexts have implications for funders and policy makers for the provision of outdoor adventure residentials for young people.
A Performance Improvement Strategy for Solenoid Electromagnetic Actuator in Servo Proportional Valve

This study presents a simulation model, optimization strategy and the experimental validation of a solenoid electromagnetic actuator that is widely used in industry components, especially in pneumatic/hydraulic valves. In the preliminary design, a two-dimensional magnetostatic finite element analysis (FEA) model is proposed and verified by static push-force comparisons between the two-dimensional FEA model, the three-dimensional FEA model and the experimental results. Then, a static and dynamic performance improvement strategy is proposed. To optimize the static push-force of the actuator, a static multi-objective optimization strategy for actuator structure parameters was developed based on a genetic algorithm. An experimental analysis of dynamic performance was carried out to improve the dynamic response of the actuator. By using a high-precision measuring device in the static-push-force test and dynamic direct current-input-signal tests, the comparisons results between the manufactured conventional actuator and the manufactured optimal actuators showed that the proposed optimization strategy was feasible. Through the static optimization strategy, the average static push-force in the working stroke was improved by 21.8%. Moreover, through the dynamic optimization strategy, the cutoff frequency of the push force response was improved by 129.1%, 79.6% and 74.3%, respectively, at three key positions in the working stroke.
The Hypervelocity Innovation Model: A Blue Print for Drug Development in Pandemics

The branded pharmaceutical industry is a slow innovation industry, because of the long time to market of new molecular entities (NME). On average, it takes ~10-15 years from concept to product, at a cost of ~$1-5 billion, and a failure rate of ~90% [1]. There are generally two reasons why the timelines are long. One involves the linear phase sequencing of clinical trials and the other, is around financial risks around probability of technical and regulatory success. A perhaps more proximal issue is that pharmaceutical R&D enterprises are organized around prioritized investments, working on assets with the greatest return of investments. There is much less appreciation or flexibility in leveraging expertise around priorities that are often thrust on the system by external forces, such as the current pandemic. Addressing emerging public health concerns, including preparedness for epidemic/pandemic situations, requires a hypervelocity mindset, which the current apparatus is least prepared for. This commentary offers insight into the organizational preparedness into mobilizing resources and scientific creativity for accelerated timelines in response to pandemics.
Molecular characterization and evaluation of crude oil remediation potential of some rhizobia isolated from plant root nodules

This study aimed to determine the molecular identities and genetic relatedness of rhizobia isolated from pigeon pea and pinto beans, and assess their remediation potential in the presence of 1 %, 3 % and 5 % (w/v) crude oil in minimal medium for 7 days incubation period. Standard microbiological and molecular methods which include amplification and purification of 16S rRNA, agarose gel electrophoresis, and sequencing. Results showed molecular identities of six rhizobia from pigeon peas as Bradyrhizobium diazoefficiens USDA122, Rhizobium leguminosarum WSM2304, Bradyrhizobium japonicum N61, Rhizobium leguminosarum N741, Rhizobium leguminosarum BIHIB1217, and Bradyrhizobium japonicum E109; and three rhizobia obtained from pinto beans were Rhizobium leguminosarum N871, Bradyrhizobium diazoefficiens USDA110 and Bradyrhizobium japonicum SEMIA5079. All tested rhizobia (9) showed petroleum degradation ability, as they all grew in the 1, 3 and 5 % (w/v) crude oil minimal medium under laboratory conditions. B. diazoefficiens USDA122 showed the highest optical density (OD) value of 1.184 ± 0.05 on 7th day at 1 % (w/v) crude oil contamination, while R. leguminosarum N741 has the lowest OD value of 0.372 ± 0.02 at 5 % (w/v) crude oil on 7th day. For all the rhizobia, increase occurred throughout incubation period at 1, 3 and 5 % (w/v) except Rhizobium leguminosarum N741 and R. leguminosarum BIHIB1217. In conclusion, the association of R. leguminosarum BIHIB1217 and R. leguminosarum N871 from pigeon pea and pinto beans respectively, were found most effective in crude oil degradation and thus they are recommended as a promising association for remediation of crude oil spilled soils.
A multi-source image fusion algorithm based on gradient regularized convolution sparse representation

Image fusion based on the sparse representation (SR) has become the primary research direction of the transform domain method. However, the SR-based image fusion algorithm has the characteristics of high computational complexity and neglecting the local features of an image, resulting in limited image detail retention and a high registration misalignment sensitivity. In order to overcome these shortcomings and the noise existing in the image of the fusion process, this paper proposes a new signal decomposition model, namely the multi-source image fusion algorithm of the gradient regularization convolution SR (CSR). The main innovation of this work is using the sparse optimization function to perform two-scale decomposition of the source image to obtain high-frequency components and low-frequency components. The sparse coefficient is obtained by the gradient regularization CSR model, and the sparse coefficient is taken as the maximum value to get the optimal high frequency component of the fused image. The best low frequency component is obtained by using the fusion strategy of the extreme or the average value. The final fused image is obtained by adding two optimal components. Experimental results demonstrate that this method greatly improves the ability to maintain image details and reduces image registration sensitivity.
Interplay scenarios between CatSper and CaV channels in sea urchin sperm flagellum signaling cascades triggered by egg peptides: a mathematical modelling approach

Intracellular calcium ([Ca]i) is a basic, versatile and ubiquitous cellular signal controlling a wide variety of biological processes. A remarkable example is the steering of sea urchin spermatozoa towards the conspecific egg by a spatially and temporally orchestrated series of cytosolic [Ca]i spikes. Although this process has been an experimental paradigm for reproduction and sperm chemotaxis studies, the composition and regulation of the signalling network underlying the cytosolic calcium fluctuations are hitherto not fully understood. Here, we used a differential equations model of the signalling network to assess which set of channels can explain the characteristic envelop and temporal organisation of the [Ca]i-spike trains. The signalling network comprises an initial membrane hyperpolarisation/repolarisation produced by an upstream module triggered by the egg-released chemoattractant peptide, via receptor activation, cGMP synthesis and decay. Followed by downstream modules leading to pHi, voltage and [Ca]i fluctuations. The upstream module outputs were fitted to kinetic data on cGMP activity and early membrane potential changes measured in bulk cell populations. Two candidate modules featuring voltage-dependent Ca-channels link these outputs to the downstream dynamics and can independently explain the typical decaying envelop and the progressive spacing of the spikes. In the first module, [Ca]i-spike trains require the concerted action of a classical CaV-like channel and a potassium channel, BK (Slo1), whereas the second module relies on pHi-dependent, [Ca]i-inactivated CatSper dynamics alone. The model predicts that these two modules interfere with each other and produce unreasonable dynamics when present at similar proportions, which suggests that one may predominate over the other in vivo. To assess these alternatives, several quantitative predictions were derived from each module and confronted to experimental observations. We show that the [Ca]i dynamics observed experimentally after sustained alkalinisation can be reproduced by a model featuring the CatSper module but not by one including the pH-independent CaV and BK module. We conclude in favour of the module containing CatSper.
The asymmetry effect of oil price changes on inflation, and the welfare implication for Ghana

PurposeHigh inflation levels remain a challenge in macroeconomic stabilization policies among developing economies. Oil price is identified as an important driver of inflation. In the wake of high and unstable international oil prices, the question regarding the relationship between inflation and crude oil prices, and its implication for economic welfare has become a fundamental empirical issue.Design/methodology/approachThis question is explored by estimating a non-linear autoregressive distribution lags (NARDL) model of inflation-oil nexus that examined the asymmetric response of inflation to oil price changes. The study then derived the welfare implication of the asymmetric responses, with implications for the petroleum pricing regime in Ghana.FindingsThe study found that inflation responds asymmetrically to oil prices in the long-run but not in the short-run. The welfare cost associated with the asymmetric response increases with increasing rate.Practical implicationsThe findings of this study have some implications for petroleum product pricing in Ghana. Recently, Ghana has moved from regulating petroleum prices to the automatic adjustment system. By this policy, petroleum prices change in tandem with the crude oil prices and exchange rates on the international market. Whiles this policy might be comparatively efficient, the evidence of asymmetric response of inflation to changes in oil prices raises some issues about the welfare effect of the policy.Originality/valueThe paper contributes to the literature on the inflation-oil price nexus by investigating critical questions that remain puzzling. These questions include; Does inflation respond asymmetrically to the positive and negative shock of equal magnitude in oil prices? Does inflation response to the asymmetry changes in oil prices have any implications for the welfare of the country? Is the effect of oil price changes pernicious?
TransgenicArabidopsisExpressingacdSGene ofPseudomonas veronii-KJ Alleviate the Adverse Effects of Salt and Water-Logging Stress

Several bacterial genes have been identified for the successful transformation of model and crop plants to cope with a variety of stressful conditions. Here, we isolated acdS gene from Pseudomonas veronii - KJ and cloned into Escherichia coli (DE3) for the successful expression of recombinant 1-aminocyclopropane-1-carboxylate (ACC) deaminase. Then, Arabidopsis thaliana was transformed to express the bacterial acdS for the production of ACC deaminase and were compared to control plants in their response to water-logging and salt stress conditions. We used strong and constitutive 35S promoter from cauliflower mosaic virus to over-express the acdS gene. The plasmid (PCB302-3) including the acdS gene was transferred into Agrobacterium tumefaciens (GV3101) and the floral dip method was carried out for successful transformation of A. thaliana . We subsequently, measured the growth and development of transformed and control plants. The transgenic A. thaliana expressing acdS gene revealed increased tolerance to water-logging and salt stress conditions and were less prone to the adverse effects compare to wild type plants.
Alishewanella sp. strain GIDC-5, Arsenite hyper-tolerant bacteria isolated from industrial effluent of South Gujarat, India

Twenty five different arsenite (AsIII) oxidising bacteria were isolated from industrial effluent (Bilimora, Gujarat Industrial Development Corporation (GIDC) Gujarat, India). The most efficient arsenite oxidiser and arsenite hyper-tolerant bacterial isolate which could tolerate up to 15 mM AsIII was selected and 16S rRNA gene sequence analysis was performed. It showed 98% identity of the 16S rRNA genes of genus Alishewanella (Accession no.: HQ659190). Higher activities of arsenite oxidase enzymes in the bacterium were localised on membrane. The GIDC-5 bacterial strain was found to be susceptible to most of the common antibiotics. The optimum growth in the presence of metalloid was observed at temperature 37°C and pH 4, whereas in the absence of metalloid the optimum pH was 8. The result suggested that, Alishewanella sp. strain GIDC-5 demonstrated hyper-tolerant to arsenite because of its ability to overcome the toxic effects of arsenite by converting it to less toxic forms (arsenate).
Repercussões glicêmicas do banho no leito de doentes oncológicos graves: ensaio clínico

Objetivo: comparar a diferença da glicemia de doentes oncológicos internados na UTI antes e após o banho no leito com lenços umedecidos. Método: Ensaio clínico não controlado realizado no Centro de Terapia Intensiva (CTI) e Unidade Pós-Operatória (UPO) de um único serviço de saúde, referência em tratamento oncológico na América Latina. Amostra composta por 30 doentes oncológicos consecutivamente internados. Todas as amostras de sangue para mensuração da glicemia foram coletadas dos cateteres de pressão invasiva cinco minutos antes e cinco minutos após o banho no leito com lenços umedecidos, sendo considerado hiperglicemia valores acima de 180 mg/dL. Para comparar as medianas das glicemias pré e pós banho foi utilizado o teste de Wilcoxon com nível de significância pré-estabelecido de 5%. Resultados: No momento pré-banho, obteve-se uma glicemia mediana de 141 mg/dL, e no momento pós-banho a mediana foi de 135 mg/dL. Observou-seque no momento pós-banho houve redução de 7,05% na glicemia, sendo esta queda estatisticamente significativa (p < 0,01). Conclusão: O banho no leito com uso de lenços umedecidos do tipo higienizador e protetor cutâneo realizado em doentes oncológicos internados em unidades de terapia intensiva clínica e cirúrgica reduz significativamente a glicemia destes indivíduos.
ADAMTS Proteases: Potential Biomarkers and Novel Therapeutic Targets for Cartilage Health

The equine locomotor system’s health plays a key role on athletic performance. Bone and joint diseases are the major causes of lameness. Poor performance and diseases lead to great economic loss to equestrian sports and horse breeders. Therefore, prevention, early diagnosis, and therapy of joint diseases are important. A disintegrin-like and metalloproteinase with thrombospondin motifs (ADAMTS) proteinase family plays an important role in many physiological processes such as tissue reorganization, coagulation, and angiogenesis. Aggrecan proteinases ADAMTS-4 and ADAMTS-5 are physiologically responsible for the restructuring with enzymatic cleavage of the cartilage, specific biomarkers in the synovium or body fluids for early diagnosis, and potential specific therapeutic targets in order to their role on degenerative joint diseases physiopathology in humans and various animals.
Effects of yeast (Saccharomyces cerevisiae type boulardii CNCM I-1079) supplementation on growth performance and blood metabolites in Black Bengal goat kids

The objective of this study was to investigate the effects of yeast (Saccharomyces cerevisiae type boulardii CNCM I-1079) supplementation on growth performance and blood metabolites in Black Bengal goat kids. The experiment was performed on eight growing Black Bengal goat kids divided into a control diet (CD) group without yeast and yeast supplement (YS) group with 1.5% of yeast supplement. The feeding experiment was conducted for 40 days with growth performance measured every ten days, and blood samples were collected on days 0 and 40 of the experiment. The data were analyzed using a mixed model. The results showed that YS had no effect on growth parameters. Moreover, addition of yeast to the diet did not affect the blood parameters (phosphorus (P), cholesterol, triacylglycerol, urea, total protein, glutamate pyruvate transaminase (GPT), and glutamate oxaloacetate transaminase (GOT)) except calcium (Ca) and magnesium (Mg). In the YS group animals, a slight increase in blood level concentration of Ca and Mg was observed compared to the CD group.
Reproducibility, Distinguishability, and Correlation of Fireball and Shockwave Dynamics in Explosive Munitions Detonations

Abstract : The classification of battlespace detonations is a particularly challenging problem. The intense infrared radiation produced by the detonation of high explosives is largely unstudied. Furthermore, the time-varying fireball imagery and spectra are driven by many factors. The current study investigates fireball expansion dynamics using high speed, multi-band imagery. Instruments were deployed to three field tests involving improvised explosives in howitzer shells, simulated surface-to-air missiles, and small caliber muzzle flashes. The rate of shockwave expansion for the improvised explosives was determined from apparent index of refraction variations in the visible imagery. Fits of the data to existing drag and explosive models found in the literature, as well as modifications to these models, showed agreement in the near- and mid-fields; the modified models typically predicted the time for the shockwave to arrive a kilometer away to better than 10%; and fit parameters typically had an uncertainty of less than 20%. The shockwave was distinctive within the first 2-10 milliseconds after detonation, then it decayed to an indistinguishable acoustic wave. The area profiles of the fireballs were also examined and found to be highly variable, especially after 10 milliseconds, regardless of munitions type. Scaling relationships between properties of the explosive (mass, specific energies, and theoretical energies) and detonation areas, characteristic times, and properties of the shockwave were assessed for distinguishing weights and types: Efficiency decreased with mass; early-time Mach number and overpressure were primarily dependent on energy release; fireball area increased cubically with specific energies but its time of occurrence decreased cubically. The relationship between fireball and shockwave features was fairly independent of variability, indicating that both fireball and shockwave features scale similarly with variability in detonations.