Miracle-dz/UniFAR-FTUs huggingface dataset:
Using social media to explore regional cuisine preferences in China

Purpose Food plays an important role in every culture around the world. Recently, cuisine preference analysis has become a popular research topic. However, most of these studies are conducted through questionnaires and interviews, which are highly limited by the time, cost and scope of data collection, especially when facing large-scale survey studies. Some researchers have, therefore, attempted to mine cuisine preferences based on online recipes, while this approach cannot reveal food preference from people’s perspective. Today, people are sharing what they eat on social media platforms by posting reviews about the meal, reciting the names of appetizers or entrees, and photographing as well. Such large amount of user-generated contents (UGC) has potential to indicate people’s preferences over different cuisines. Accordingly, the purpose of this paper is to explore Chinese cuisine preferences among online users of social media. Design/methodology/approach Based on both UGC and online recipes, the authors first investigated the cuisine preference distribution in different regions. Then, dish preference similarity between regions was calculated and few geographic factors were identified, which might lead to such regional similarity appeared in our study. By applying hierarchical clustering, the authors clustered regions based on dish preference and ingredient usage separately. Findings Experimental results show that, among 20 types of traditional Chinese cuisines, Sichuan cuisine is most favored across all regions in China. Geographical proximity is the more closely related to differences of regional dish preference than climate proximity. Originality/value Different from traditional definitions of regions to which cuisine belong, the authors found new association between region and cuisine based on dish preference from social media and ingredient usage of dishes. Using social media may overcome problems with using traditional questionnaires, such as high costs and long cycle for questionnaire design and answering.
Efficient keyword search over graph-structured data based on minimal covered r-cliques

Keyword search is an alternative for structured languages in querying graph-structured data. A result to a keyword query is a connected structure covering all or part of the queried keywords. The textual coverage and structural compactness have been known as the two main properties of a relevant result to a keyword query. Many previous works examined these properties after retrieving all of the candidate results using a ranking function in a comparative manner. However, this needs a time-consuming search process, which is not appropriate for an interactive system in which the user expects results in the least possible time. This problem has been addressed in recent works by confining the shape of results to examine their coverage and compactness during the search. However, these methods still suffer from the existence of redundant nodes in the retrieved results. In this paper, we introduce the semantic of minimal covered r-clique (MCCr) for the results of a keyword query as an extended model of existing definitions. We propose some efficient algorithms to detect the MCCrs of a given query. These algorithms can retrieve a comprehensive set of non-duplicate MCCrs in response to a keyword query. In addition, these algorithms can be executed in a distributive manner, which makes them outstanding in the field of keyword search. We also propose the approximate versions of these algorithms to retrieve the top-k approximate MCCrs in a polynomial delay. It is proved that the approximate algorithms can retrieve results in two-approximation. Extensive experiments on two real-world datasets confirm the efficiency and effectiveness of the proposed algorithms.
Antibiotic biosynthesis and secondary metabolism in high-yielding strains of Streptomyces, Penicillium chrysogenumand Acremonium chrysogenum

Abstract In this article, the secondary metabolism as a basis for antibiotics production by industrial strains of Streptomyces, Penicillium chrysogenum and Acremonium chrysogenum is discussed. Images from transmission electron microscopy reveal some important features of the mycelial cells which are related to antibiotics biosynthesis. This discovery is important for further industrial strain improvement and has economic significance. Possibilities of new strategies for antimicrobial treatment are discussed. 1. Introduction. 2. Industrial strain improvements. 3. The pathways of antibiotic biosynthesis by Streptomyces spp. 4. Compartmentalization in antibiotic biosynthesis by Streptomyces spp. 5. The pathway of penicillin G biosynthesis by Penicillium chrysogenum. 6. Compartmentalization in penicillin G biosynthesis by Penicillium chrysogenum. 7. The pathway of cephalosporin C biosynthesis by Acremonium chrysogenum.8. Compartmentalization in cephalosporin biosynthesis by Acremonium chrysogenum. 9. The future of antibiotic therapy. 10. Conclusions
Phytoplankton trigger the production of cryptic metabolites in the marine actinobacterium Salinispora tropica

Bacteria from the Actinomycete family are a remarkable source of natural products with pharmaceutical potential. The discovery of novel molecules from these organisms is, however, hindered because most of the biosynthetic gene clusters (BGCs) encoding these secondary metabolites are cryptic or silent and are referred to as orphan BGCs. While co-culture has proven to be a promising approach to unlock the biosynthetic potential of many microorganisms by activating the expression of these orphan BGCs, it still remains an underexplored technique. The marine actinobacteria Salinispora tropica, for instance, produces valuable compounds such as the anti-cancer molecule salinosporamide A but half of its putative BGCs are still orphan. Although previous studies have looked into using marine heterotrophs to induce orphan BGCs in Salinispora, the potential impact of co-culturing marine phototrophs with Salinispora has yet to be investigated. Following the observation of clear antimicrobial phenotype of the actinobacterium on a range of phytoplanktonic organisms, we here report the discovery of novel cryptic secondary metabolites produced by S. tropica in response to its co-culture with photosynthetic primary producers. An approach combining metabolomics and proteomics revealed that the photosynthate released by phytoplankton influences the biosynthetic capacities of S. tropica with both production of new molecules and the activation of orphan BGCs. Our work pioneers the use of phototrophs as a promising strategy to accelerate the discovery of novel natural products from actinobacteria. Importance The alarming increase of antimicrobial resistance has generated an enormous interest in the discovery of novel active compounds. The isolation of new microbes to untap novel natural products is currently hampered because most biosynthetic gene clusters (BGC) encoded by these microorganisms are not expressed under standard laboratory conditions, i.e. mono-cultures. Here we show that co-culturing can be an easy way for triggering silent BGC. By combining state-of-the-art metabolomics and high-throughput proteomics, we characterized the activation of cryptic metabolites and silent biosynthetic gene clusters in the marine actinobacteria Salinispora tropica by the presence of phytoplankton photosynthate. We further suggest a mechanistic understanding of the antimicrobial effect this actinobacterium has on a broad range of prokaryotic and eukaryotic phytoplankton species and reveal a promising candidate for antibiotic production.
Multivariate analysis of stripe rust assessment and reactions of barley in multi-location nurseries

Xi, K. , Chen, X. M. , Capettini, F. , Falconi, E. , Yang, R. C. , Helm, J. H. , Holtz, M. D. , Juskiw, P., Kumar, K. , Nyachiro, J. and Turkington, T. K. 2013. Multivariate analysis of stripe rust assessment and reactions of barley in multi-location nurseries. Can. J. Plant Sci. 93: 209-219. A total of 1357 entries, mainly consisting of hulled two-row, hulled six-row and hulless barley, were evaluated in stripe rust nurseries at Toluca, Mexico during 2007, Quito, Ecuador during 2007 and 2008, and Pullman and Mt. Vernon, USA [Pacific Northwest (PNW)] during 2007-2009. Disease screening data for barley stripe rust resistance at multiple locations and seasons were analyzed using factor analysis (FA), principal component analysis (PCA) and analysis of variance (ANOVA). Factor analysis led to the removal of a number of disease assessment variables that had inadequate disease levels or an unsuitable rating scale. The PCA scores revealed that the two-row types of barley were generally more resistant than the six-row and hulless types. ANOVA indicated that the effect of seasonal influence on screening was small, while stripe rust susceptible and resistant barley types were differentiated significantly on mean values averaged on infection type (IT) and percentage diseased leaf area (disease severity, DS) during the 3-yr tests in multiple screening nurseries. The significant correlations in disease assessments between IT and DS suggest that either assessment can be used to replace the other without a significant loss of information regarding barley stripe rust reactions. The first principal component is a useful criterion for assessing stripe rust reactions in barley lines.
The Competitive Structure and Strategic Positioning of Commercial Banks in Saudi Arabia

Banks in Saudi Arabia are well-capitalized, profitable and highly liquid despite recent oil price shock. Today, Commercial banks are facing the competition like never. The level of competition with innovation in technologies and emergence of FinTech have gone higher. There are 24 banks operating in the Saudi Arabia, giving fierce competition to each other. With the entrance of foreign banks in Saudi economy, local banks are revising their marketing strategies in order to compete and retain their customer base. Since, all the top banks have same type of capitalization and customer base, it is very difficult for the banks to know who the true competitors are for them. The study will help the bank as well as customers to in this regard to identify the closest competitor for local as well as foreign banks. The study consisted mainly primary data collected from the sample respondents. Total 10 banks were chosen for the study based on their capitalization. Total 1000 sample was collected from the customers of selected banks, 100 sample from customers of each bank based on stratified random sampling. The data was collected in the Dammam region of Saudi Arabia. We used Similarity based approach of Multidimensional scaling for the analysis of data.
How are Hybrid Development Approaches Organized? - A Systematic Literature Review

Agile software development methods promise shorter time-to-market and higher product quality, but lack the ability of long-term planning or coping with large projects. However, software companies often also want the ability of long-term planning, promised by traditional or plan-based methods. To benefit from the strengths of both approaches, software companies often use a combination of agile and plan-based methods, known as hybrid development approaches. These approaches strongly depend on the individual context and are customized. Therefore, companies have to organize their hybrid development approach individually. However, practitioners often have difficulties with the organization of hybrid approaches. The organization considers how the phases, activities, roles, and artifacts are arranged and connected. Research lacks the necessary detailed insight into how hybrid development approaches are organized to support practitioners. To gain better understanding of the organization of hybrid approaches, we conducted a systematic literature review to gather descriptions of hybrid approaches. We analyzed the found papers thoroughly and could identify three general patterns of how hybrid approaches are organized. We found that all these patterns are still based on Royce’s waterfall model and use the standard software engineering activities. Our findings shall help to lead further research and help practitioners to better organize their individual development approach.
Antioxidant proteins and peptides to enhance the oxidative stability of meat and meat products: A comprehensive review

ABSTRACT Lipid oxidation is among the major flaw-grounding processes in meat and meat-based products that can affect interactions among lipids and proteins, leading to critically undesirable changes. Therefore, it is imperative to control lipid oxidation in meat allied products to enhance consumer acceptability. Moreover, lipid oxidation is somber dilemma visage by the meat processing industry, affects food constituents, leading to detrimental alterations that can impart the deleterious effects on human health upon consumption. Various synthetic (butylated hydroxyanisole (BHA), butylated hydroxytoluene (BHT), and tertiary butylhydroquinone (TBHQ)) and natural antioxidants (vitamin C, vitamin A, tocopherols, especially vitamin E, flavonoids particularly quercetin, proteins, and peptides) as well as preservatives are employed to extend the storability of meat and resultants products; however, great consideration is paid to the utilization of natural antioxidants due to the harmful side effects imparted by synthetic counterparts. Recently, bioactive peptides are claimed to thwart lipid oxidation in meat and other products; in addition, these antioxidant peptides have also been reported to possess substantial health-promoting potential besides controlling oxidation. Therefore, the present review is intended to emphasize the sources, production methods, and applications of antioxidant proteins and peptides to control oxidative degradation in meat products and the potential health benefits of bioactive peptides. Furthermore, the techniques available for the extraction, characterization, and assessment of the antioxidant capability of bioactive peptides are discussed critically in this review.
Black Carbon Absorption Efficiency Under Preindustrial and Present‐Day Conditions Simulated by a Size‐ and Mixing‐State‐Resolved Global Aerosol Model

The positive radiative forcing of black carbon (BC) aerosol depends not only on the spatial and temporal distribution of BC but also its absorption efficiency. The mass absorption cross section (MAC) of BC is enhanced by atmospheric aging processes that increase particle size and non‐BC coating amounts (mixing state) of BC‐containing particles. However, the representation of MAC (or absorption enhancement) in current global aerosol models has a large uncertainty. This study used a global aerosol model that resolves particle size and mixing state to show that the MAC of anthropogenic BC has increased by 50% from preindustrial to present‐day conditions (from 5.6 to 8.6 m2 g−1) because faster present‐day aging processes increase the fraction of thickly coated BC particles, which have high absorption efficiency. This effect is apparent only when the model considers BC mixing state with sufficient resolution. The impact of this MAC enhancement on BC direct radiative forcing is estimated to be 0.051–0.086 W m−2 globally (22–37% of anthropogenic BC direct radiative forcing, 0.23 W m−2) and exceeds 0.5 W m−2 near‐source regions in East Asia. Sensitivity simulations show that BC direct radiative forcing and MAC are highly sensitive to non‐BC emissions, secondary aerosol formation, and aerosol size distribution and mixing state in emissions. We must therefore improve our understanding of these factors by further observations and reduce their discrepancies between models to achieve better estimates of BC absorption efficiency and radiative forcing.
To study the influence of planting geometry and nitrogen level on quality attributesnitrogen uptake and economics of rice (Oryza sativa L.) under upper gangetic plains region of India

A field experiment was conducted for two years during kharif season of 2017 and 2018 at Agronomy research Farm, N.D. University of Agriculture and Technology, Kumarganj, Ayodhya (U.P.) on sandy loam soil with a pH of 8.1 to study the Influence of planting geometry and nitrogen levels on rice (Oryza sativa L.)”. The experiment was laid out in split plot design (SPD) with three replications Sixteen treatment combinations; comprised of four planting geometry, viz. (S1) 15x10 cm, 15x15 (S2),20x10 (S3) and 20x15 (S4) were kept in main plot and four nitrogen level, viz. 0kg/ha (N0), 60kg/ha (N1), 120kg/ha (N2) and 180kg/ha (N3) were kept in sub plot. Protein content of rice grain was not significantly affected due to planting geometry and N level during both the years of investigation, whereas plant spacing of 20×10cm recorded higher nitrogen uptake in grain which was at par with 15×15cm spacing while significant over rest both of the planting geometry. Cost of cultivation was recorded highest (Rs. 35435/ha) under S1­­N3 under planting geometry of 15×10cm spacing applied with 180kg N/ha followed by (Rs.35045/ha), while application of 120kg nitrogen/ha given in 20×10cm spacing recorded highest gross return Rs.102140/ha followed by Rs. 101845/ha in 15×15cm spacing applied with 180kg N/ha due to higher yield.
Regulation of MicroRNAs Targeting the Angiogenic Switch Molecule Fibroblast Growth Factor Binding Protein 1 by Retinoic Acid Receptor Activation

This dissertation examines the role of retinoic acid receptor activation in the post-transcriptional regulation of a fibroblast growth factor binding protein. Previous work showed that all-trans retinoic acid (ATRA) reduces mRNA expression of the angiogenic switch molecule, Fibroblast Growth Factor Binding Protein 1 (FGFBP1 or FGF-BP), independent of an effect on transcription of the FGFBP1 mRNA. I hypothesized that a retinoid-induced microRNA was involved in FGFBP1 mRNA loss. MicroRNAs (miRs) are 19–22 nucleotide (nt) single stranded non-coding RNAs that post-transcriptionally repress mature mRNA function, thereby reducing expression of their target proteins. The current dogma suggests that miRs canonically bind to the 3’ untranslated region (UTR) of mRNA through a 7-nt seed-matched site. However, recent data indicate that miRs may also bind the open reading frame (ORF) of mRNAs. In this dissertation, I show that miR-27b-3p and miR-125a-5p are induced by ATRA and target FGFBP1. Overexpression of miR-27b-3p and miR-125a-5p rapidly reduced FGFBP1 mRNA levels through a target site in the open reading frame of the FGFBP1 mRNA. Both microRNAs showed specificity for regions within the ORF of FGFBP1, suggesting that these microRNAs may also be involved in inhibiting translation of the FGFBP1 protein. Next generation sequencing data from The Cancer Genome Atlas shows that loss of these microRNAs is characteristic of several epithelial cancers, including head and neck, lung, and cervical squamous cell carcinomas,
Invasive Pulmonary Aspergillosis Goes Viral Again?

childhood into adulthood. Lancet Respir Med 2017;5:224–234. 7. Aaron SD, Vandemheen KL, FitzGerald JM, Ainslie M, Gupta S, Lemière C, et al.; Canadian Respiratory Research Network. Reevaluation of diagnosis in adults with physician-diagnosed asthma. JAMA 2017; 317:269–279. 8. Psallidas I, Backer V, Kuna P, Palmér R, Necander S, Aurell M, et al. A phase 2a, double-blind, placebo-controlled randomized trial of inhaled TLR9 agonist AZD1419 in asthma. Am J Respir Crit Care Med 2021; 203:296–306. 9. Huang X, Yang Y. Targeting the TLR9-MyD88 pathway in the regulation of adaptive immune responses. Expert Opin Ther Targets 2010;14: 787–796. 10. Dweik RA, Boggs PB, Erzurum SC, Irvin CG, Leigh MW, Lundberg JO, et al.; American Thoracic Society Committee on Interpretation of Exhaled Nitric Oxide Levels (FENO) for Clinical Applications. An official ATS clinical practice guideline: interpretation of exhaled nitric oxide levels (FENO) for clinical applications. Am J Respir Crit Care Med 2011;184:602–615. 11. Petsky HL, Cates CJ, Kew KM, Chang AB. Tailoring asthma treatment on eosinophilic markers (exhaled nitric oxide or sputum eosinophils): a systematic review and meta-analysis. Thorax 2018; 73:1110–1119. 12. Haldar P, Pavord ID, Shaw DE, Berry MA, Thomas M, Brightling CE, et al. Cluster analysis and clinical asthma phenotypes. Am J Respir Crit Care Med 2008;178:218–224. 13. Moore WC, Meyers DA, Wenzel SE, Teague WG, Li H, Li X, et al.; National Heart, Lung, and Blood Institute’s Severe Asthma Research Program. Identification of asthma phenotypes using cluster analysis in the Severe Asthma Research Program. Am J Respir Crit Care Med 2010;181:315–323.
Differential Effects of Oxygen and Oxidation Reduction Potential on the Multiplication of Three Species of Anaerobic Intestinal Bacteria

The sensitivity of three strains of anaerobic intestinal bacteria, Clostridium perfringens, Bacteroides fragilis, and Peptococcus magnus, to the differential effects of oxygen and adverse oxidation-reduction potential was measured. The multiplication of the three organisms was inhibited in the presence of oxygen whether the medium was at a negative oxidation-reduction potential (Eh of -50 mV), poised by the intermittent addition of dithiothreitol, or at a positive oxidation-reduction potential (Eh of near +500 mV). However, when these organisms were cultured in the absence of oxygen, no inhibition was observed, even when the oxidation-reduction potential was maintained at an average Eh of +325 mV by the addition of potassium ferricyanide. When the cultures were aerated, the growth patterns of the three organisms demonstrated different sensitivities to oxygen. P. magnus was found to be the most sensitive. After 2 h of aerobic incubation, no viable organisms could be detected. B. fragilis was intermediately sensitive to oxygen with no viable organisms detected after 5 h of aerobic incubation. C. perfringens was the least sensitive. Under conditions of aerobic incubation, viable organisms survived for 10 h. During the experiments with Clostridium, no spores were observed by spore staining.