Miracle-dz/UniFAR-FTUs huggingface dataset:
SENSITIVITY OF VERTICAL AXIS WIND TURBINES TO ROTOR SHAPE AND BLADE DESIGN: A COMPUTATIONAL INVESTIGATION

In this paper we present a computational investigation of the aerodynamics and performance of four vertical axis wind turbines, comparing two different troposkein rotors equipped with two different airfoil sections. Simulations were performed by resorting to an experimentally-validated 2D/3D unsteady Computational Fluid Dynamics model, based on the U-RANS formulation of the equation and relying upon the k − ω SST turbulence model in low-Reynolds formulation. The performance of the selected wind turbine configurations are investigated and discussed considering different operating conditions at 2D level, and then focusing on the peak efficiency condition for the fully 3D analysis. Overall power coefficient data and trends, spanwise distributions and local blade aerodynamics are used to discuss the impact of rotor solidity, Reynolds number, and airfoil shape on turbine performance. The investigation reveals that the adoption of non-symmetric laminar profiles provides important advantages in complex flow regions, typical of such class of machines, both in the equatorial sections and along the span. Moreover, a solidity formulation based on the equatorial section turns out to be representative of the aerodynamics of the entire turbine, despite the trospokein shape of the rotor.
Enhancing Chatbot Responses Based on Natural Language Processing Techniques

Advancements in conversational Artificial Intelligence (AI) models, exemplified by ChatGPT, New Bing, and Claude, have substantially improved real-time interaction and virtual assistant capabilities of chatbot systems. The growing recognition of the significance of conversational AI has led to an increased focus on incorporating Natural Language Processing (NLP) methodologies in chatbot training. NLP, a pivotal field within computer science and AI, empowers machines to comprehend, parse, and generate human language. In the context of machine learning, NLP facilitates the understanding and utilization of vast amounts of unstructured textual data, a crucial aspect for data-driven decision making and predictive modeling. This research contends that the excellence of a chatbot should be evaluated based not on the complexity of its responses to human statements but on its ability to closely emulate human conversational logic. The present study aims to explore a series of natural language processing techniques to enhance chatbot responses, rendering them more human-like.
Extreme events and ecological forecasting

Almost all extreme events lasting less than several weeks that significantly impact ecosystems are weather related. This review examines the response of estuarine systems to intense short-term perturbations caused by major weather events such as hurricanes. Current knowledge concerning these effects is limited to relatively few studies where hurricanes and storms impacted estuaries with established environmental monitoring programs. Freshwater inputs associated with these storms were found to initially result in increased primary productivity. When hydrographic conditions are favorable, bacterial consumption of organic matter produced by the phytoplankton blooms and deposited during the initial runoff event can contribute to significant oxygen deficits during subsequent warmer periods. Salinity stress and habitat destruction associated with freshwater inputs, as well as anoxia, adversely affect benthic populations and fish. In contrast, mobile invertebrate species such as shrimp, which have a short life cycle and the ability to migrate during the runoff event, initially benefit from the increased primary productivity and decreased abundance of fish predators. Events studied so far indicate that estuaries rebound in one to three years following major short-term perturbations. However, repeated storm events without sufficient recovery time may cause a fundamental shift in ecosystem structure (Scavia et al. 2002). This is a scenario consistent with the predicted increase in hurricanes for the east coast of the United States. More work on the response of individual species to these stresses is needed so management of commercial resources can be adjusted to allow sufficient recovery time for affected populations.
Band edge positions as a key parameter to a systematic design of heterogeneous photocatalyst

Although, plenty of photocatalytic approaches have been developed in the past few decades to overcome major drawbacks, such as; wide band gap and fast volume/surface recombination of the charge carriers, the researchers still need to carry out careful systematic studies before conducting experiments based on physicochemical properties of a system. Thus, in this review, a detailed discussion of the band edge positions controlling the migration and charge separation of the produced charged carriers and its impact onto the photocatalytic systems are provided. The knowledge of band edge positions is a crucial prerequisite to a rational design of an efficient photocatalytic system. The enhancement mechanism should match these criteria to be reliable in the field of heterogeneous photocatalysis science.
Estimating Extensive, Quantity and Price Margin in Export Growth of Pakistan

: The paper examines the role of extensive margin, price, and quantity margin in the export growth of Pakistan. Extensive margin is the exports of a country to new markets and new products while intensive margin is the exports of a country to existing markets and quantity growth of already exported itemsWe decompose Pakistan’s export growth into extensive and intensive margin by applying methodology of Feenstra (1994) and Hummels and Klnew (2005). We estimate main cause of Pakistan’s export growth in this study through decomposition methodology of extensive margin, Price margin and quantity margin between 2003 and 2020 using HS 6-digit trade data. We conclude that Pakistan’s export growth is primarily led by quantity growth which accounts more than 100 percent in Pakistan’s export growth. This is approximately same for all major trading partners, and it implies that Pakistan is producing larger quantities of existing goods. Quantity driven growth shows abundance of labour in the country. However, it shows that Pakistan is over-reliant on same type of goods and partners and external factors may severly impact Pakistan’s exports due to the quantity margin. Pakistan should diversify export goods and export markets to improve price margin which is better strategy for a country’s export as well as economic growth.
Intraperitoneal instillation of local anaesthetic (IPILA) in bariatric surgery Intraperitoneal instillation of local anaesthetic (IPILA) in bariatric surgery and the effect on post-operative pain scores: A randomised control trial and the effect on post-operative pain scores: A randomised control tr

Background Effective analgesia during bariatric procedures may be vital as it could reduce post-operative opioid use. This can lead to less nausea which may be associated with shorter post-operative length of stay (LOS). Understanding analgesic requirements in patients with obesity is important due to the varied physiology and increased number of comorbidities.
THE EFFECT OF A PRODUCT'S COUNTRY OF ORIGIN ON THE CUSTOMER LOYALTY CREATION PROCESS

Due to the increasing process of globalization, consumers’ attitudes and beliefs are formed under the influence of numerous factors, which are not being considered to a large degree when it comes to doing business on a national level, but which may have significant implications on evaluation of international and global aspects of company’s operation. One of these factors is the country of origin of products. Although there is a large number of papers in the field of international marketing which investigate issues of the relation of consumers’ loyalty and country of origin of products, the originality of this research arises from the fact that, this paper examines the influence of the country of origin of the products on consumers’ loyalty, not directly, but observed via specific characteristics of the product, such as quality, design and prestige. Using a regression analysis, it examines the effect of the country of origin of a product on the perception of product’s quality, design and prestige, as well as the extent to which these three variables affect consumers’ loyalty. The importance of implemented empirical research, unlike others done in Serbia, is reflected in analyzing unified influence of individual variables. It has been noticed that major influence on consumers’ behaviour has prestige related to consumption of products from certain countries, following design, while the impact of product’s quality was minimal. By applying the empirical model research, it has been confirmed that all defined variables significantly determine consumer’s loyalty when it comes to country of origin. By applying one-factor analysis of a variance, it examines whether there is a statistically significant effect of the defined variables on the loyalty, when it comes to different categories of the respondents.
UvA-DARE ( Digital Academic Repository ) Childhood constipation treatment , long-term prognosis and quality of life

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Smart Interviews Using AI

: With the advent in technology, a lot of our common things have become smart. But our interviewing system still seems to be stuck at same point. If one has low marks it’s fine but a person with a bad personality cannot be hired even if they are satisfying in other aspects, as they do more harm than good. This is the reason online interviews or chatbots are not preferred as many are of the opinion that although every other detail can be thoroughly checked, there is no way they can correctly have a grasp of the interviewee’s personality.Because of COVID-19 pandemic all interviews are taken online but their concerns have increased regarding the aforementioned point. Taking this into consideration, we have built an interview system that analyzes the personality traits of the candidates with the help of facial and speech emotion recognition whose resumes have been approved. For facial emotion recognition we have used CNN model and for speech emotion recognition we have used Google API.
Comparison of surgical difficulty in patients with resectable non-small cell lung cancer under different neoadjuvant treatment modes: a retrospective cohort study

Background Previous studies have reported on the efficacy and safety of neoadjuvant use of a programmed cell death 1 (PD-1) antibody, sintilimab, in patients with non-small cell lung cancer (NSCLC). This study aimed to further evaluate the difficulty of this surgery and the postoperative complication rates in patients with NSCLC receiving neoadjuvant sintilimab. Methods Patients who received neoadjuvant sintilimab (200 mg) in the Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital from March 2018 to March 2019 were enrolled in the neoadjuvant immunotherapy group (NI group). Another two cohorts who did not receive sintilimab were retrospectively selected by propensity score matching (PSM) at a ratio of 1:1 in the upfront surgery (M-US) and neoadjuvant chemotherapy (M-NC) groups. The postoperative complication rate, postoperative days (PODs), and other detailed objective indicators were compared by t-test or χ2 test. Results Thirty-seven patients were enrolled in each group. Postoperative complications were greater in the NI group (37.8%) than in the M-US (10.8%; P=0.013) or in the M-NC group (16.2%; P=0.036). The number of PODs (7) was greater in the NI group than in the M-US group (P=0.005). The total number of dissected lymph nodes was lower in the NI group than in the M-US group (P<0.001) or in the M-NC group (P<0.001). Lymph node dissection (LND) in the NI group was more difficult than in the M-US group (P=0.015), but intrathoracic adhesion, tumor invasion, and whole procedure difficulty were similar. Conclusions The administration of neoadjuvant sintilimab increased complications but did not increase the difficulty of surgery. Fewer lymph nodes were dissected in the NI group.
Biotechnological approaches for sustainable production of astragaloside I, II and IV from endemic species of Astracantha aitosensis (Ivan.) and Astragalus membranaceus (fisch.) by in vitro cultures

This study investigates the bioproduction of astragalosides I, II and IV from endemic Astracantha aitosensis ( arnacantha ) and Astrag-alus membranaceus species, and the biotechnological methods for increased efficiency. The extracts from established in vitro cultures, including A. aitosensis callus, shoots and roots and A. membranaceus hairy roots, showed higher astragaloside concentrations than native roots. Specifically, in vitro A. aitosensis cultures produced astragaloside I and II at 0.06 and 0.10 mg/g DW, which were absent in native roots. The production of A membranaceu s hairy roots exceeds 8 to 15 times astragaloside I and II (0.80 and 0.90 mg/g DW) production when compared to native roots (0.10 and 0.05 mg/g DW), and around 3 times high amount related to astragaloside IV. Addressing astragaloside production challenges, this research also reveals biotechnology approaches as an alternative for sustainable production of this rare cycloartane saponins, conserving the natural habitats. A pilot reproducible in vitro cellular platform has been created, and protocol for specific, unconventional induction of the biosynthesis of the desired target compounds, exploiting the enzymatic system of plant cells from the unexplored plant species A. aitosensis has been established. Our findings clearly show the possibility of using in vitro cultures of A. aitosensis and A. membranaceus for biotechnology production of cycloartane type saponins.
A Radiologic and Neurosurgical Overview Treatment of Brain Neoplasms and Epilepsy: Interstitial Thermal Therapy in the Current Applications of MRI-Guided Laser

SUMMARY: Minimally invasive stereotactic tumor ablation is a viable option for the treatment of benign and malignant intracranial lesions. Although surgical excision constitutes ﬁrst-line therapy for various brain pathologies, it can cause irreversible neurologic deﬁcits. Additionally, many patients who may beneﬁt from surgery do not qualify as surgical candidates due to multiple comorbidities. Recent advancementsinlaserinterstitialthermaltherapy,namelytheabilitytomonitorablationinreal-timeunderMRimaging,haveimprovedthe safety and efﬁcacy of the procedure. MRI-guided laser interstitial thermal therapy is currently used as a minimally invasive treatment for brain metastases, radiation necrosis, glioma, and epilepsy. This article will discuss the principles, suggested indications, complications, and imaging characteristics of MRI-guided laser interstitial thermal therapy as they pertain to the treatment of brain pathology. ABBREVIATIONS
EnsembleSplice: Ensemble Deep Learning for Splice Site Prediction

Identifying splice site (SS) regions is an important step in genomic DNA sequencing pipelines for biomedical and pharmaceutical research. Within this research purview, efﬁcient and accurate SS detection is highly desirable, and a variety of computational models have been developed towards this end. In particular, neural network (NN) architectures have recently been shown to outperform classical machine learning (ML) approaches for the task of SS prediction. Despite these advances, there is still considerable potential for improvement, especially in terms of model accuracy and inter-species generalizability. Bearing these issues in mind, EnsembleSplice is a deep learning (DL) model that incorporates the hitherto unseen method of ensemble learning for splice site prediction. When evaluated on genomic DNA datasets for the species Homo sapi-ens and Arabidopsis thaliana , EnsembleSplice outper-formed existing state-of-the-art SS detection models, at-taining average accuracies of 96.02% for donor SS and 94.59% for acceptor SS.
Aspekt bakteryjny próchnicy zębów mlecznych Bacterial Aspect of Deciduous Teeth Caries

Dental caries occurring in the early childhood is infectious disease, which is caused by Streptococcus mutans bac− teria. Dietary carbohydrates play also a critical role in its clinical expression. The early oral colonization by carious bacteria is a key event in the natural history of the disease. The acquisition of the infection may occur via vertical or horizontal transmission. Primary colonization by Streptococcus mutans coupled with caries−promoting feeding behaviours results in great accumulation of these microorganisms in dental plaque and acids formation as a result of dietary sugars metabolism, which leads to rapid demineralization of hard dental tissues. Primary prevention is based on interruption of infection transmission ways and implementation of cariostatic feeding behaviours coupled with hygiene procedures performed in child’s oral cavity ( Dent. Med. Probl. 2004, 41, 3, 509–514 ).
A ICTIOFAUNA DO RIO TATUÍ, SP, BRASIL SOB INFLUÊNCIA DE IMPACTOS AMBIENTAIS

Stefani, M. S. & Smith, W. S. (2014). A ictiofauna do rio Tatui, SP, Brasil sob influencia de impactos ambientais. Braz. J. Aquat. Sci. Technol. 18(2): 43-52. eISSN 1983-9057. DOI: 10.14210/bjast.v18n2. p43-52 The growth of cities in the state of Sao Paulo has caused major impacts on aquatic ecosystems, as in Tatui River, which is part of the Sorocaba River basin and MiddleTiete. Studies on its ichthyofauna are relevant to the conservation and monitoring of the river, under the optics of Tatui river is one of the largest contributor to the pollution of the river Sorocaba. This study aimed to survey the fish fauna of the Tatui river and relate them to anthropogenic interference which is submitted. Were collected during the dry and rainy seasons of 2010. Considering all the work already done on the Tatui river were raised 53 species. This worked identified 18species of fish, belonging to 9 families and 2 orders. The most representative family was Characidae, with 5 species followed by the family Loricariidae, with 3 species. The most abundant species was Hypostomus margaritifer, followed by Hypostomus ancistroides. The result corroborates with other studies conducted in Parana High and Sorocaba River basin. Inverse correlation was obtained between total dissolved solids and diversity. What is explained y the Tatui river find themselves impacted throughout its length, especially the lack of riparian vegetation, siltation and domestic sewage and industrial.
Industrial districts evolving in glocal value chains: evidence from the Italian wine industry

Drawing from recent empirical literature on Italian industrial districts, this paper sketches an outline for interpreting the changes that have recently been taking place, in the face of strong competition on a global scale in light of the global value chain perspective. Departing from an analysis of the reasons why Italian districts have lost the Marshallian characteristics, we seek to explain why we see some districts well on the road to decline, while others have succeeded in evolving and reproducing the district form. The cornerstone of our analysis focuses on the district firms that can boast an international entrepreneurship, and on the relationship they fuel within districts. A look at some of the Italian winemaking districts adds to our considerations, confirming the utility of taking a global value analysis perspective in order to see where Italian industrial districts are heading.
CEO Education and Total Factor Productivity——Based on Empirical Evidence of Chinese A-share Listed Companies

: Improving the total factor productivity of enterprises is of great significance to promoting the high-quality development of China's economy. This paper takes the Chinese A-share listed companies from 2008 to 2020 as a sample, and studies the relationship between CEO education and total factor productivity. The study found that CEO education is positively correlated with total factor productivity of enterprises, highly educated CEOs can help companies improve total factor productivity, and management ability weakens the positive correlation between the two. Further research finds that the level of innovation plays a complete mediating role, and the promotion effect of CEO education on the total factor productivity of enterprises is more significant in non-high-tech enterprises and mature enterprises. The research conclusions corroborate the conclusion that CEO personal characteristics have an important influence on enterprise operation in "High-level Echelon Theory" and "Branding Theory", and at the same time provide a new reference and basis for future enterprise managers' appointment decisions and improving enterprise total factor productivity.
A protocol for systematic review and meta-analysis

Background:The global prevalence of dry eye disease (DED) ranged from 5% to 50%, accompanied by the yearly increasing trend and younger onset. To date artificial tear serves as a mainstay therapy for DED management. It is noteworthy that, acupuncture has been accepted for treating DED with a time-honored history in China. However, no systematic review has been updated till now, which is focusing on comparing acupuncture vs. artificial tears for DED management. Methods: Eight databases will be searched with the language restrictions of English and Chinese from their inception to July 1, 2020. Randomized controlled trials comparing acupuncture versus artificial tears for DED treatment were enrolled. Identification, research inclusion, data extraction and assessment of the risk of bias were conducted independently by 2 or more reviewers. The primary outcomes were Schirmer I test and tear break-up time. We used Review Manager Software (v.5.3) for assessing the risk of bias and all statistical analyses. Results: Based on the evidence obtained, whether the effect of acupuncture was equal to or even better than that of artificial tear therapy in the treatment of DED would be elaborated. Conclusion: In summary, this review would provide a relatively convincing conclusion on whether acupuncture deserves to be recommended as an adjunct treatment for DED, so as to propose some significant insights for the doctors handling with DED. OSF Registration number: 10.17605/OSF.IO/Z28M6. Abbreviations: DED = dry eye disease, RCTs = randomized controlled trials.