Miracle-dz/UniFAR-FTUs huggingface dataset:
Sentiment Analysis in Tourism: Capitalizing on Big Data

Advances in technology have fundamentally changed how information is produced and consumed by all actors involved in tourism. Tourists can now access different sources of information, and they can generate their own content and share their views and experiences. Tourism content shared through social media has become a very influential information source that impacts tourism in terms of both reputation and performance. However, the volume of data on the Internet has reached a level that makes manual processing almost impossible, demanding new analytical approaches. Sentiment analysis is rapidly emerging as an automated process of examining semantic relationships and meaning in reviews. In this article, different sentiment analysis approaches applied in tourism are reviewed and assessed in terms of the datasets used and performances on key evaluation metrics. The article concludes by outlining future research avenues to further advance sentiment analysis in tourism as part of a broader Big Data approach.
Energy sustainability in the transition to renewables: Framings from complex systems and social practice theories

1 Executive Summary . 2 Introduction . 4 1 Combining complex systems and social practice theories and approaches . 7 1.1 Mapping complexity and social practices . 7 1.2 Taking social imaginaries into account . 7 1.3 Addressing the temporal dimension of social practices and understanding their dynamics better . 7 1.4 The energy transition will generate a huge amount of data . 8 1.5 Openness paradox . 8 1.6 We are not starting from scratch when combining complex systems and social practice theories . 9 2 Limits and scarcity . 10 2.1 Politics of limits and scarcity . 10 2.2 Research recommendations . 11 3 Narratives and vocabulary . 12 3.1 Narratives . 12 3.1.1 Narratives about the future and governance of energy transitions . 12 3.1.2 Sanction narrative and institutions survival . 13 3.1.3 Temporalities: Re-discussing speed and urgency when dealing with the energy transition . 14 3.2 Looking for new vocabulary? 15 4 Local (energy) communities . 16 4.1 Meanings and tensions . 16 4.2 A research agenda on communities . 17 5 Forecasting revisited . 19 5.1 Present and past problems with forecasting . 19 Who is the forecaster and for whom? 20
A population-based examination of the visual and ophthalmological characteristics of licensed drivers aged 70 and older.

BACKGROUND Safe driving performance depends on visual skills yet little is known about the prevalence of vision impairments in older drivers and the eye conditions that cause them. This study is a population-based examination of the prevalence of vision impairment and major ophthalmological conditions among drivers aged 70 and older. METHODS The source population was a random sample of 2,000 licensed drivers aged 70 and older residing in north central Alabama. All had driven within the past 3 months. Binocular visual acuity and contrast sensitivity were assessed. The Useful Field of View subtest 2 and Trails B assessed visual processing speed. Ophthalmological diagnoses for cataract, intraocular lens placement, glaucoma, diabetic retinopathy, age-related macular degeneration, and diabetic retinopathy were obtained through medical records from the most recent eye examination. RESULTS Ninety-two percent of drivers had visual acuity of 20/40 or better; only two drivers (0.1%) had acuity worse than 20/100. Ninety-three percent had normal contrast sensitivity (≥1.5). About 40% had slowed visual processing speed (44%, Useful Field of View; 38%, Trails B). The most common eye condition was cataract, with more than half having cataract in one or both eyes (56%); yet by the 80s and 90s, the prevalence was low, with most drivers having undergone cataract surgery and intraocular lens placement. CONCLUSIONS This population-based study suggests that serious impairment in central vision-visual acuity or contrast sensitivity-is rather uncommon in older drivers; however, slowed visual processing speed is common.
The Motivation of Capital-giving in Crowdfunding Market: A Self-determination Theory Perspective

How to promote crowd-funding results successfully are crucial to crowdfunding platforms and crowdfunding projects. The results of crowd-funding projects are determined by investors’ subjective behavior, which is triggered by some certain motivations. However, for different investors, the motivation toward a speculative behavior may be different. Thus, it is very necessary to explore and analyze the composition of the motivations behind each investor’s decision. In this paper, we identify different motivation modes mainly influenced by the project description, which will be beneficial to identify the investment intention of each investor. Based on the self-determination theory, we first create the corpus targeting different motives by means of the text mining method. Then, we classify the project description and project investment options. Last, we conduct an econometric model to examine the effect of investor’s motives on crowd-funding results based on the real dataset from Indiegogo Platform.
A New Generation of Modified Live-Attenuated Avian Influenza Viruses Using a Two-Strategy Combination as Potential Vaccine Candidates

ABSTRACT In light of the recurrent outbreaks of low pathogenic avian influenza (LPAI) and highly pathogenic avian influenza (HPAI), there is a pressing need for the development of vaccines that allow rapid mass vaccination. In this study, we introduced by reverse genetics temperature-sensitive mutations in the PB1 and PB2 genes of an avian influenza virus, A/Guinea Fowl/Hong Kong/WF10/99 (H9N2) (WF10). Further genetic modifications were introduced into the PB1 gene to enhance the attenuated (att) phenotype of the virus in vivo. Using the att WF10 as a backbone, we substituted neuraminidase (NA) for hemagglutinin (HA) for vaccine purposes. In chickens, a vaccination scheme consisting of a single dose of an att H7N2 vaccine virus at 2 weeks of age and subsequent challenge with the wild-type H7N2 LPAI virus resulted in complete protection. We further extended our vaccination strategy against the HPAI H5N1. In this case, we reconstituted an att H5N1 vaccine virus, whose HA and NA genes were derived from an Asian H5N1 virus. A single-dose immunization in ovo with the att H5N1 vaccine virus in 18-day-old chicken embryos resulted in more than 60% protection for 4-week-old chickens and 100% protection for 9- to 12-week-old chickens. Boosting at 2 weeks posthatching provided 100% protection against challenge with the HPAI H5N1 virus for chickens as young as 4 weeks old, with undetectable virus shedding postchallenge. Our results highlight the potential of live att avian influenza vaccines for mass vaccination in poultry.
Calcium wave for cytoplasmic streaming of Physarum polycephalum

The plasmodium Physarum polycepharum exhibits periodic cycles of cytoplasmic streaming in association with those of contraction and relaxation movement. In the present study, we injected Calcium Green dextran as a fluorescent Ca2+ indicator into the thin‐spread living plasmodium. We found changes in the [Ca2+]i (intracellular concentration of Ca2+), which propagated in a wave‐like form in its cytoplasm. The Ca2+ waves were also detected when we used Fura dextran which detected [Ca2+]i by the ratio of two wavelengths. We prepared the plasmodial fragment from the thin‐spread and found that the cycles of the contraction–relaxation movement was so synchronized that the measurement of its area provided an indication of the movement. We observed that [Ca2+]i also synchronized in the entire fragment and that the relaxation ensued upon the reduction in [Ca2+]i. We suggest that the Ca2+ wave generated periodically is one of the major factors playing a crucial role in the relaxation of P. polycepharum.
Research on Sustainable Development of the Stock Market Based on VIX Index

The frequent occurrence of financial crises has made the dynamic linkage between international financial markets an important research topic. In the past, scholars mostly studied the correlation between financial markets directly, however ignored the impact of exogenous financial variables on financial markets. The stock market is an important part of the financial market and plays an important role in the overall economy. Information asymmetry is common and has a certain degree of impact on investors’ returns. However, many scholars believe that the problem of information asymmetry in China has seriously negatively impacted investors, forming an unsustainable state. At present, there are still many problems in the Chinese stock market, especially the stock market fraud, which brings great challenges to the sustainable development of the stock market. Based on the idea of the STCC model, it is assumed that the Copula parameter is affected by the exogenous variables and the time-varying dynamic Copula model-ST-VCopula model is established. Based on the model, the influence of market volatility (VIX index) on the stock market is explored and then the stock index data of several countries are empirically analyzed. The empirical results show that the VIX index has a significant impact on the linkage between stock markets. The VIX index is easy and more intuitive to obtain, providing another way for the dynamic linkage research between the market, which can provide investors with some guidance and advice when conducting financial activities such as diversification.
Molecular evidence for a clonal relationship between multiple lesions in patients with unknown primary adenocarcinoma

Unknown primary adenocarcinoma (UPA) comprises a group of heterogeneous cancers of great clinical and biological interest. UPA presents as metastatic disease without a detectable primary site after medical workup. Here we investigated whether or not a clonal relationship exists between multiple tumors within individual UPA patients. A molecular resemblance would argue for an early clonal outgrowth of tumor cells from the primary lesion, a mutual feature observed within this group of neoplasms. In 14 patients with UPA multiple tumors, obtained at autopsy, were analyzed by molecular allelotyping and immunohistochemistry. In addition, tumors of 4 patients could be analyzed by comparative genomic hybridization (CGH). Similar genetic and phenotypic profiles were used as indicator for a clonal relationship, whereas different profiles implicate independent tumors. The molecular data indicated that the multiple lesions in the 14 UPA patients, including the primary tumors, are clonally related. In agreement with the theory of tumor progression, some metastatic lesions showed additional genetic alterations besides the characteristics that were shared with the primary tumor. Furthermore, 8 UPA patients had tumors with a high frequency of allelic loss and/or imbalance (FALI; 43–71%), while 6 patients demonstrated a lower FALI (14–29%), suggesting the occurrence of chromosomal instability in the former group. Our data provide molecular evidence for a clonal relationship between multiple metastases and the primary tumor within individual UPA patients, independent of the anatomical origin of the cancer. This finding is in agreement with the suggestion that tumor progression is rapid in UPA patients, limiting the chance of clonal divergence. The identification of 2 groups of UPAs with either a high or low FALI indicates that chromosomal instability is not the only driving force behind early tumor cell dissemination. Thus, other molecular mechanisms must underlie the common biology of these tumors. © 2008 Wiley‐Liss, Inc.
Discovering future of the social trends using social media tools

Social media has been widely used in our daily lives, which, in essence, can be considered as a magic box, providing great insights about world trend topics. It is a fact that inferences gained from social media platforms such as Twitter, Faceboook or etc. can be employed in a variety of different fields. Computer science technologies involving data mining, natural language processing (NLP), text mining and machine learning are recently utilized for social media analysis. A comprehensive analysis of social web can discover the trends of the public on any field. For instance, it may help to understand political tendencies, cultural or global believes etc. Twitter is one of the most dominant and popular social media tools, which also provides huge amount of data. Accordingly, this study proposes a new methodology, employing Twitter data, to infer some meaningful information to remarks prominent trend topics successfully. Experimental results verify the feasibility of the proposed approach.
Joint Voice/Video Retry Limit Adaptation for On-Demand Streaming Over WiFi Networks

This letter proposes a fast retry limit adaptation algorithm for the 802.11e distributed networks. Different from existing solutions, which manage a unique access category, the presented method jointly estimates the retry limits associated with both voice and video packets. The algorithm that operates in saturated and non-saturated traffic conditions is validated adopting an 802.11n physical layer and comparing its performance with a proper extension of an existing solution.
Natriuretic peptide C receptor signalling in the heart and vasculature

Natriuretic peptides (NPs), including atrial, brain and C‐type natriuretic peptides (ANP, BNP and CNP), bind two classes of cell surface receptors: the guanylyl cyclase‐linked A and B receptors (NPR‐A and NPR‐B) and the C receptor (NPR‐C). The biological effects of NPs have been mainly attributed to changes in intracellular cGMP following their binding to NPR‐A and NPR‐B. NPR‐C does not include a guanylyl cyclase domain. It has been denoted as a clearance receptor and is thought to bind and internalize NPs for ultimate degradation. However, a substantial body of biochemical work has demonstrated the ability of NPR‐C to couple to inhibitory G proteins (Gi) and cause inhibition of adenylyl cyclase and activation of phospholipase‐C. Recently, novel physiological effects of NPs, mediated specifically by NPR‐C, have been discovered in the heart and vasculature. We have described the ability of CNP, acting via NPR‐C, to selectively inhibit L‐type calcium currents in atrial and ventricular myocytes, as well as in pacemaker cells (sinoatrial node myocytes). In contrast, our studies of the electrophysiological effects of CNP on cardiac fibroblasts demonstrated an NPR‐C–Gi–phospholipase‐C‐dependent activation of a non‐selective cation current mediated by transient receptor potential (TRP) channels. It is also known that CNP and BNP have important anti‐proliferative effects in cardiac fibroblasts that appear to involve NPR‐C. In the mammalian resistance vessels, including mesenteric and coronary arteries, CNP has been found to function as an NPR‐C‐dependent endothelium‐derived hyperpolarizing factor that regulates local blood flow and systemic blood pressure by hyperpolarizing smooth muscle cells. In this review we highlight the role of NPR‐C in mediating these NP effects in myocytes and fibroblasts from the heart as well as in vascular smooth muscle cells.
Technical aspects of developing the BLDC motor electric drive as a part of precision angle stabilizer

This paper carries applied character, the links onto application notes, that confirmed by a practice, was collected and systematized, in simple terms the substantiation of the need for the three functional units of the gearless precision position stabilizers: power factor corrector (PFC), brake chopper (ballast) and isolated gate driver power supply was given. This allow to design and develop properly operating device, which is a part of rotation platform for angle divergence measurement between real mechanical angle and that is measured by MEMS-based IMU and AHRS modules with a view to adjust the additive and multiplicative error coefficients of mentioned above modules.
How Wnt Signaling Builds the Brain: Bridging Development and Disease

Wnt/β-catenin signaling plays a crucial role throughout all stages of brain development and remains important in the adult brain. Accordingly, many neurological disorders have been linked to Wnt signaling. Defects in Wnt signaling during neural development can give rise to birth defects or lead to neurological dysfunction later in life. Developmental signaling events can also be hijacked in the adult and result in disease. Moreover, knowledge about the physiological role of Wnt signaling in the brain might lead to new therapeutic strategies for neurological diseases. Especially, the important role for Wnt signaling in neural differentiation of pluripotent stem cells has received much attention as this might provide a cure for neurodegenerative disorders. In this review, we summarize the versatile role of Wnt/β-catenin signaling during neural development and discuss some recent studies linking Wnt signaling to neurological disorders.
Activation of blood coagulation factor VIIa with cleaved tissue factor extracellular domain and crystallization of the active complex

Exposure of blood to tissue factor leads to the formation of a high affinity tissue factor/factor VIIa complex which initiates blood coagulation. As a first step toward obtaining structural information of this enzyme system, a complex of active‐site inhibited factor VIIa (F.VIIai) and soluble tissue factor (sTF) was prepared for crystallization. Crystals were obtained, but only after long incubation times. Analysis by SDS‐PAGE and mass spectrometry indicated the presence of sTF fragments similar to those formed by proteolytic digestion with subtilisin (Konigsberg, W., Nemerson, Y., Fang, C., Lin, T.‐C. Thromb. Haemost. 69:1171, 1993). To test the hypothesis that limited proteolysis of sTF facilitated the crystallization of the complex, sTF fragments were generated by subtilisin digestion and purified. Analysis by tandem mass spectrometry showed the presence of nonoverlapping N‐ and C‐terminal sTF fragments encompassing more than 90% of the tissue factor extracellular domain. Enzymatic assays and binding studies demonstrated that an equimolar mixture of N‐ and C‐terminal fragments bound to factor VIIa and fully restored cofactor activity. A complex of F.VIIai and sTF fragments was prepared for crystallization. Crystals were obtained using microseeding techniques. The best crystals had maximum dimensions of 0.12 × 0.12 × 0.6 mm and showed diffraction to a resolution of 3 Å. © 1995 Wiley‐Liss, Inc.
Factors Influencing Tourism Marketing Strategies in Jordanian Five Stars Hotels

The current study aimed at examining the influence of tourism marketing strategies within the Jordanian 5 stars hotels. The researcher has chosen the self-administered questionnaire to form the tool of the study on a sample of the marketing and promotion managers from the 5 stars hotel in the capital of Jordan- Amman. The total number of the hotels which took part in the study was (27) 5 stars hotel located in Jordan. The results of the study indicated that political, social and economic stability in addition to the systematic promotion of cultural events appeared to be the most influential factors on the tourism marketing strategies within the studied hotels. The least influential factors appeared to be brand position, the service quality and the facilities. This was attributed to the current status of the Middle Eastern countries and the fact that the political stability is what drives tourists to the destination. The study recommends the ability of the government to deal with political and economic challenges such as poverty and unemployment impinges on the trust of potential tourist.
On the Physiology and Pathophysiology of Antimicrobial Peptides

Antimicrobial peptides (AMP) are a heterogeneous group of molecules involved in the nonspecific immune responses of a variety of organisms ranging from prokaryotes to mammals, including humans. AMP have various physical and biological properties, yet the most common feature is their antimicrobial effect. The majority of AMP disrupt the integrity of microbial cells by 1 of 3 known mechanisms—the barrel-stave pore model, the thoroidal pore model, or the carpet model. Results of growing numbers of descriptive and experimental studies show that altered expression of AMP in various tissues is important in the pathogenesis of several gastrointestinal, respiratory, and other diseases. We discuss novel approaches and strategies to further improve the promising future of therapeutic applications of AMP. The spread of antibiotic resistance increases the importance of developing a clinical role for AMP.
Core knowledge of object, number, and geometry: A comparative and neural approach

Studies on the ontogenetic origins of human knowledge provide evidence for a small set of separable systems of core knowledge dealing with the representation of inanimate and animate objects, number, and geometry. Because core knowledge systems are evolutionarily ancient, they can be investigated from a comparative perspective, making use of various animal models. In this review, I discuss evidence showing precocious abilities in nonhuman species to represent (a) objects that move partly or fully out of view and their basic mechanical properties such as solidity, (b) the cardinal and ordinal/sequential aspects of numerical cognition and rudimentary arithmetic with small numerosities, and (c) the geometrical relationships among extended surfaces in the surrounding layout. Controlled rearing studies suggest that the abilities associated with core knowledge systems of objects, number, and geometry are observed in animals in the absence (or with very reduced) experience, supporting a nativistic foundation of such cognitive mechanisms. Animal models also promise a fresh approach to the issue of the neurobiological and genetic mechanisms underlying the expression of core knowledge systems.
Dietary patterns and risk of death and progression to ESRD in individuals with CKD: a cohort study.

BACKGROUND Nutrition is linked strongly with health outcomes in chronic kidney disease (CKD). However, few studies have examined relationships between dietary patterns and health outcomes in persons with CKD. STUDY DESIGN Observational cohort study. SETTING & PARTICIPANTS 3,972 participants with CKD (defined as estimated glomerular filtration rate < 60 mL/min/1.73 m2 or albumin-creatinine ratio ≥ 30 mg/g at baseline) from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study, a prospective cohort study of 30,239 black and white adults at least 45 years of age. PREDICTORS 5 empirically derived dietary patterns identified by factor analysis: "convenience" (Chinese and Mexican foods, pizza, and other mixed dishes), "plant-based" (fruits and vegetables), "sweets/fats" (sugary foods), "Southern" (fried foods, organ meats, and sweetened beverages), and "alcohol/salads" (alcohol, green-leafy vegetables, and salad dressing). OUTCOMES All-cause mortality and end-stage renal disease (ESRD). RESULTS 816 deaths and 141 ESRD events were observed over approximately 6 years of follow-up. There were no statistically significant associations of convenience, sweets/fats, or alcohol/salads pattern scores with all-cause mortality after multivariable adjustment. In Cox regression models adjusted for sociodemographic factors, energy intake, comorbid conditions, and baseline kidney function, higher plant-based pattern scores (indicating greater consistency with the pattern) were associated with lower risk of mortality (HR comparing fourth to first quartile, 0.77; 95% CI, 0.61-0.97), whereas higher Southern pattern scores were associated with greater risk of mortality (HR comparing fourth to first quartile, 1.51; 95% CI, 1.19-1.92). There were no associations of dietary patterns with incident ESRD in multivariable-adjusted models. LIMITATIONS Missing dietary pattern data, potential residual confounding from lifestyle factors. CONCLUSIONS A Southern dietary pattern rich in processed and fried foods was associated independently with mortality in persons with CKD. In contrast, a diet rich in fruits and vegetables appeared to be protective.