Miracle-dz/UniFAR-FTUs huggingface dataset:
The challenges of mining social media data on a cluster/cloud environment

The mining of social media presents a unique set of challenges. One of them is the sheer volume of data that gets generated. This has led to the use of cloud environments and clusters of computers to mine and analyze the data sets. But the implementation of traditional data mining algorithms in a cluster environment is not a simple task. This paper discusses the general issues faced when mining social media data (with a speciic focus on Twitter data), and then discusses the speciic challenges faced when implementing data mining in a cluster-or cloud environment. Various solutions to these challenges are discussed and analyzed.
Synthesis and Characterisation of a Monolithic Imprinted Column Using a Methacrylic Acid Monomer with Porogen Propanol for Atenolol Analysis

A monolithic imprinted atenolol column was constructed by in situ polymerisation using a methacrylic acid monomer and a 1 : 1 (v/v) porogen of propanol: toluene with two template: monomer: crosslinker combinations, namely, MIP 1 (1 : 4 : 20) and MIP 2 (1 : 5 : 20). Physical characterisation of the monolithic columns consisted of permeability testing, Fourier transform infrared (FTIR) testing, surface area analysis (SAA), and scanning electron microscopy (SEM). The permeability value of four monolithic columns was in the good category: MIP 1 (24.01 mD), NIP 1 (56.43 mD), MIP 2 (23.03 mD), and NIP 2 (14.47 mD). The polymerisation process of these four monolithic imprinted columns was carried out perfectly, as shown by the absence of vinyl groups (1000 cm−1 and 900 cm−1) during FTIR testing. Based on SAA testing, the pores of the four polymers were classified as mesopores. The best monolithic column was MIP 1, as seen from the intercolumn and intracolumn reproducibility values and a % RSD <2.0%. The MIP 1 column was selective towards atenolol, as seen from the selectivity factor, imprinting factor (IF), and resolution (Rs) values. The IF values of MIP 1 were atenolol (204.62), metoprolol (3.36), and propranolol (1.27). The Rs value between atenolol and the analogue compounds was 7.23. The MIP 1 column can be used for the analysis of atenolol in blood serum samples with an average percentage recovery rate of 94.88 ± 4.43%.
Enhancing Functional Properties of Viscose Fabric by Using Novel Aryl-Azo Sulfonamide Derivatives

Four new sulfonamide Ary-azo dderivatives were synthesized, characterized and utilized in simultaneous dyeing and resin finishing of viscose fabrics for enhancing their functional and dyeing properties. The results indicated that these derivatives, irrespective of their concentration, brings about an improvement in the percent nitrogen, wrinkle recovery angle, homogeneous dyeability and UV protection rating values as well as antibacterial properties along with slight decrease of tensile strength of the treated fabrics. It has been also found that, irrespective of dye structure, increasing the dye concentration from 1.0 and up to 1.9% enhances the aforementioned properties accompanied with slight decrease in wrinkle recovery angle and lower fastness properties of the dyed fabrics. Moreover, the treated fabrics were characterized through investigating their energy dispersive X-ray analysis.
Polariton Mediated Electron Transfer via Cavity Quantum Electrodynamics.

We investigate the polariton mediated electron transfer reaction in a model system with analytic rate constant theory and direct quantum dynamical simulations. We demonstrate that the photoinduced charge transfer reaction between a bright donor state and dark acceptor state can be significantly enhanced or suppressed by coupling the molecular system to the quantized radiation field inside an optical cavity. This is because the quantum light-matter interaction can influence the effective driving force and electronic couplings between the donor state, which is the hybrid light-matter excitation, and the molecular acceptor state. Under the resonance condition between the photonic and electronic excitations, the effective driving force can be tuned by changing the light-matter coupling strength; for an off-resonant condition, the same effect can be accomplished by changing the molecule-cavity detuning. We further demonstrate that using both the electronic coupling and light-matter coupling helps to extend the effective couplings across the entire system, even for the dark state that carries a zero transition dipole. Theoretically, we find that both the counter-rotating terms and the dipole self-energy in the quantum electrodynamics Hamiltonian are important for obtaining an accurate polariton eigenspectrum, hence, the polariton mediated charge transfer rate constant, especially in the ultra-strong coupling regime.
Effect ofNewAnalogs ofHexyloxyPhenyl Imidazoline onQuorum Sensing inChromobacterium violaceum and In SilicoAnalysis of Ligand-Receptor Interactions

Departamento de Quı́mica Orgánica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Carpio y Plan de Ayala S/N, Colonia Santo Tomás, 11340 Ciudad de México, Mexico Departamento de Bioquı́mica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Carpio y Plan de Ayala S/N, Colonia Santo Tomás, 11340 Ciudad de México, Mexico Escuela Superior de Medicina, Laboratorio de Diseño y Desarrollo de Nuevos Fármacos e Innovación Biotecnológica, Instituto Politécnico Nacional, 11340 Ciudad de México, Mexico
SVM Based Detection for Diabetic Retinopathy

The human eye is an organ which gives a feeling of sight. Diabetic Retinopathy is a most basic diabetic eye infection which is a main source of visual impairment in India. Diabetic Retinopathy is a sickness in which the retinal veins swell and it might even break. This harms the retina of the eye and may prompt vision misfortune if the level of diabetes is high. Early determination of Diabetic Retinopathy can counteract vision misfortune in patients. The technique proposed in this paper for discovery of Diabetic Retinopathy infection level accentuates on assurance of two imperative sorts of Diabetic Retinopathy; Haemorrhages and Exudates. These sorts can be removed utilizing fundus images of patients and handling these fundus pictures through a proper picture preparing method. In light of the nearness of these sorts and their sum in the fundus images will decide the level of Diabetic Retinopathy in patients.
Optimizing Oil Reduction in Fried Eggplant Rings

The effect of thermal pretreatment using water or steam blanching; and chemical pretreatment by soaking in SO2, chitosan, carboxy methylcellulose (CMC) or sodium chloride (NaCl) on moisture content, oil uptake, sensory evaluation, colour, electronic structure and frying quality of eggplant rings were investigated. Eggplant rings were blanched for 3min in water and steam, and soaked in 2% chitosan and CMC, 4% NaCl and 0.1% SO2 solutions (25 C) previous to frying, to study the effect on oil uptake, moisture content, colour and structure using electronic microscope. Sensory responses indicated the best texture and lowest oil uptake at 4% NaCl solution for 20 min. Soaking had no effect (P<0.05) on color (L*, a* and b*) or moisture and oil loss during deep frying at 180 C for 4min. Sensory acceptability was not different (P<0.05) between the soaked product and a thermal sample. Frying eggplant rings at 180°C for 4 min was able to optimize the quality of eggplant rings regarding to L*, a*, C*, BI, ΔE-values and non-enzymatic browning (A420 nm). The oil uptake effect of various thermal and chemical pretreatments on eggplant rings was found to decrease in the following order water blanching > coated CMC > steam blanching > coated chitosan > SO2 > sodium chloride > untreated samples. The fried pre-treated eggplant rings with coated CMC and water blanching gave lower moisture (2.19) and oil (7) content (% on dry matter) compared to other pre-treated samples. It is evident that fried eggplant rings after chemical (chitosan, CMC, salt and So2) and thermal treatments (steam and water blanching) contained numerous types of cellular fragments using electron microscopy. These results indicate that coating CMC and water blanching exhibited oil barrier properties and did not significantly affect the flavor of the product, irregardless of breading type, thus making it a promising alternative in lowering oil content of fried foods.
Antibacterial Therapeutic Agents Composed of Functional Biological Molecules

Antibacterial agents are a group of materials that selectively destroy bacteria by interfering with bacterial growth or survival. With the emergence of resistance phenomenon of bacterial pathogens to current antibiotics, new drugs are frequently entering into the market along with the existing drugs, and the alternative compounds with antibacterial functions are being explored. Due to the advantages of their inherent biochemical and biophysical properties including precise targeting ability, biocompatibility, biodegradability, long blood circulation time, and low cytotoxicity, biomolecules such as peptides, carbohydrates, and nucleic acids have huge potential for the antimicrobial application and have been extensively studied in recent years. In this review, antimicrobial therapeutic agents composed of three kinds of functional biological molecules were summarized. In addition, the research progress of antibacterial mechanism, chemical modification, and nanoparticle coupling of those biomolecules were also discussed.
PRODUCTION TECHNOLOGIES AND INNOVATION IN KNOWLEDGE-INTENSIVE LOW-TECH VENTURES: EVIDENCE FROM THE GREEK WOOD AND FURNITURE INDUSTRY

In this paper we argue that production technologies choice or development plays an important role in low-tech but knowledge-intensive venturing. A small but growing stream of literature emerges that stresses the importance of knowledge-intensive entrepreneurship in low technology industries and their role in advanced economies. Focusing on the empirical case of the Greek wood and furniture sector, we explore how new low-tech ventures use knowledge from multiple and often trans-sectoral fields to intensively create and deploy many forms of production-relevant knowledge in order to develop innovative production technologies, build their initial competitive advantage and enter mature and saturated markets. The results highlight that knowledge-based innovation is necessary to start a viable low-tech but knowledgeintensive venture. This refers mainly to production technology innovation and can be incremental or radical. The development process demands certain capabilities as networking, synthesizing competencies to tap into knowledge sources and learning. Entrepreneurs own specific traits and skills and are more than just passive technology adopters. Corporate venturing presents certain advantages compared to the new-to-the-world ventures regarding both sources access and necessary human and financial capital.
Assessing Phenotypic and Molecular Variability in Coriander (Coriandrum sativum L.) Cultivars

Coriandrum sativum commonly known as coriander is an annual spice herb that belongs to the carrot family (Apiaceae). In addition to its use as seed spice in our routine cooking, recent studies have indicated its pharmaceutical and medicinal importance. Reports on genetic diversity using molecular markers in coriander are little. The present study was therefore aimed to focus on understanding the genetic relationship among three cultivars of coriander which may further assist in developing and planning breeding strategies for crop improvement programs. Three coriander cultivars namely Russian, Balady (Egyptian), and Selected were used. The quantitative genetic studied characters were linear growth, plant height, number of primary branches/plant, number of total branches/plant, and fruit yield of plant. Ten promising genotypes were established within each cultivar. The individual plant selection procedure was practiced on inter and intra-cultivar populations. Analysis of variance, broad-sense heritability, genetic advance, genotypic and phenotypic correlation coefficients were estimated. Broad-sense heritability estimates were high in the three varieties ranging between 80.4 % to 99.8 %. Correlation coefficients among all studied traits were positive. Selected cultivar showed the best fruit yield in both studied seasons, 66.73 g/plant and 70.87 g/plant, respectively. Polymorphism was detected using five RAPD-PCR primers on the different three coriander cultivars. A total of 33 fragments were delineated, 10 out of them were polymorphic. The genotype frequencies of RAPD-PCR variants were 55.56, 20, 25, 0 and 27.27, average of 30.30% polymorphism indicated the presence of low genetic diversity in the studied coriander cultivars.
Creative Swarm

In this work a conceptual model is proposed and implemented for a tool capable of applying image filters, based on the behaviour of ant swarm. This tool transfers some of the creative responsibility from the user to itself, when processing an image. To do this, the tool uses a property of the swarm behaviour, the emergence of complex behaviours from simple actions, to process the images. A brief discussion about creativity is made, examples of how swarm has been used are demonstrated and how to perform image processing is explained. The conceptual model proposed is based on layers containing information of the image/images and the swarm/swarms. Based on the parameters of the user, the ants of each swarm behave accordingly, modifying the image by applying local image filters. From the answers of the survey, the results show that even when the user felt he wasn’t in full control of the final result, the images produced had an interesting visual impact. This demonstrates that the tool plays an important part on the creative process of producing those images.
Learning the Language of Software Errors

We propose to use algorithms for learning deterministic finite automata (DFA), such as Angluin’s L* algorithm, for learning a DFA that describes the possible scenarios under which a given program error occurs. The alphabet of this automaton is given by the user (for instance, a subset of the function call sites or branches), and hence the automaton describes a user-defined abstraction of those scenarios. More generally, the same technique can be used for visualising the behavior of a program or parts thereof. It can also be used for visually comparing different versions of a program (by presenting an automaton for the behavior in the symmetric difference between them), and for assisting in merging several development branches. We present experiments that demonstrate the power of an abstract visual representation of errors and of program segments, accessible via the project’s web page. In addition, our experiments in this paper demonstrate that such automata can be learned efficiently over real-world programs. We also present lazy learning, which is a method for reducing the number of membership queries while using L*, and demonstrate its effectiveness on standard benchmarks.
Species-specific effects of herbivorous fishes on the establishment of the macroalga Lobophora on coral reefs

Herbivory is a key ecosystem function that influences ecosystem trajectories. However, interactions between plants and herbivores are species-specific and change throughout the plants' lifetime. On coral reefs, herbivorous fishes reduce competition between corals and macroalgae through their grazing activity, thereby regulating the ecosystem state. Grazing vulnerability of marine algae generally decreases with increasing algal size. Therefore, the removal of newly settled recruits by herbivorous fish is likely important in preventing macroalgal blooms and reducing competition with corals. We studied the grazing susceptibility of recruits of the brown macroalga Lobophora to multiple fish species through a combination of feeding observations and manipulative in situ and ex situ experiments. Further, we recorded short-term Lobophora growth patterns and adult survival over 9 wk. Lobophora recruits were more susceptible to herbivory than adults, likely owing to their smaller size. However, recruit mortality was driven by only 3 of the studied species: Acanthurus nigrofuscus, Scarus niger and Chlorurus spilurus, whereas other common herbivores did not remove any Lobophora recruits. Our data also suggest variable growth and recruitment among months. These findings point to a possible increase in grazing resistance with age for Lobophora. As such, a decrease in grazing pressure by key fish species controlling Lobophora recruits could permit Lobophora to establish more grazingtolerant adult populations.
Does diversity go beyond sex and gender? Gender as social category of diversity training in health profession education – a scoping review

Background: Sex and gender are social categories of diversity. Diversity can be perceived with an intersectional framework as it demonstrates the intersecting categories that might contribute to oppression, inequality, power and privilege. This article focused on what aspects were considered in diversity training programmes for health professions and the role of sex/gender in this context. Method: This scoping review focuses on the social categories mentioned in diversity education of health professionals. Articles on diversity training for health professionals were searched for in the Web of Science database using the keywords gender, diversity, training, education and health professions. Twelve articles were finally included in this review. Thematic analysis was employed to summarise information deduced from articles. Findings: Gaps in the aspects included in diversity training were identified. Findings show that culture was mostly discussed, whereas sex/gender and lesbian, gay, bisexual, transgender, queer and intersex (LGBTQI) were focused on only to a minor extent. Cultural diversity training includes self-reflection on one’s own culture, whereas a comparable tool for sex/gender and LGBTQI is missing. Additionally, other social categories of diversity, such as disability or age, are largely absent. Conclusion: Diversity should be incorporated in its full breadth in health profession education and not fragmented. Additionally, other social categories such as gender might benefit from including self-reflection on these categories in addition to reflecting on the role of power and privilege in order to increase self-awareness for diversity. In this way, othering of the population might be prevented and healthcare can be improved for all.
LOREM: Language-consistent Open Relation Extraction from Unstructured Text

We introduce a Language-consistent multi-lingual Open Relation Extraction Model (LOREM) for finding relation tuples of any type between entities in unstructured texts. LOREM does not rely on language-specific knowledge or external NLP tools such as translators or PoS-taggers, and exploits information and structures that are consistent over different languages. This allows our model to be easily extended with only limited training efforts to new languages, but also provides a boost to performance for a given single language. An extensive evaluation performed on 5 languages shows that LOREM outperforms state-of-the-art mono-lingual and cross-lingual open relation extractors. Moreover, experiments on languages with no or only little training data indicate that LOREM generalizes to other languages than the languages that it is trained on.
Property Directed Self Composition by Ron Shemer under the supervision of Dr .

Property Directed Self Composition Ron Shemer Master of Science School of Computer Science Tel Aviv University We address the problem of verifying k-safety properties : properties that refer to k executions of a program. A prominent way to verify k-safety properties is by self composition. In this approach, the problem of checking k-safety over the original program is reduced to checking an ordinary safety property over a program that executes k copies of the original program in some order. The way in which the copies are composed determines how complicated it is to verify the composed program. We view this composition as provided by a semantic self composition function that maps each state of the composed program to the copies that make
Parental Involvement in the School Unit: A Case Study

The case study seeks to explore the issue of parental involvement /intervention in the primary and secondary teachers’ work in Greece, in order to both the cases which contribute to a favorable and pleasant school climate that effectively helps the teachers’ work and the problems and difficulties that do not contribute positively to the work of the teacher and the school unit in general to be identified. For the conduct of this study, twenty five postgraduate students who are simultaneously teachers were recruited. As a research tool written texts were used, while the texts were analyzed by the qualitative content analysis. Overall, findings indicated that Greek parents are most of the times involved in the teachers’ work and in school units in general wrongfully, without having the appropriate and adequate pedagogical knowledge, while, on the other hand, teachers behave appropriately, from a pedagogical stance, as they deal with the parental involvement.
Consideration of NDT Results Ambiguity While Estimating Rope Residual Strength by an Example of Drilling Rig Rope Monitoring System

The main objective of NDT in many applications consists in the assessment of current or residual strength properties and safe operation term of an object under inspection. NDT results have evidently statistical features: depends on the Probability of defect detection (POD) and probability of false detection. Calculated on the such NDT results residual strength assessment has statistical features also, their statistical range should be estimated. At the same time statistical character of applied mechanical models should be considered also. This problem is being discussed on the example of steel wire ropes, with residual rope strength as main mechanical property. It is especially actual for ropes subjected to high dynamic loading and intensive wear such as calf line of drilling rigs.
Material-technical analysis to gain insight into the deteriorated surface

A cabinet of unknown provenance in the collection of the Cultural Heritage Agency of the Netherlands has drawn the attention of conservators and art historians due to its peculiar appearance: a ‘typical’ seventeenth-century Dutch cabinet-on-stand decorated with imitation lacquer depicting Asianinspired motifs mixed with European features. The lacquer suffers from craquelure, alligatoring, discolouration, bloom and lacunas which impair the brightness of the colours and the lacquer’s smoothness, transparency and gloss, reducing the readability of the decoration. The scarce knowledge about the cabinet and its current aesthetical appearance required a diagnostic research. The cabinet and in particular the lacquer decoration have been the subject of macroscopic and microscopic examination: cross-sections were taken to determine the lacquer’s stratigraphy and samples of the lacquer layers have been analysed to investigate the material composition. The results indicate that the cabinet and the lacquer decoration could be contemporary with a late seventeenthor early eighteenth-century Dutch cabinet-on-stand. However, both the cabinet’s construction and the lacquer decoration have undergone several restorations which can partly be related to the lacquer’s degradation phenomena.