Miracle-dz/UniFAR-FTUs huggingface dataset:
Database Knowledge Enrichment Utilizing Trending Topics from Twitter

Every day, many people use at least one social network (or social media) account. This development has been boosted by the rapid growth of technology, making both smartphones and mobile data much more accessible and inexpensive. Therefore, the number of social networks users is growing rapidly, accounting more than 1 billion active users worldwide. The ease of use, as well as the ability to communicate without spatial and temporal restrictions underpinned the rapid increase of the popularity of social networks, as well as their wide acceptance by the general public. This popularity influences people's opinion on many issues, shapes consumer habits and behaviour, mood, etc. The work of many scientists across multiple disciplines has focused on studying social media from various perspectives, including marketing, journalism and sociology. This paper investigates how trending information from social media can be used to match topics of interest from cultural database indices. Matches identified in this process are then presented to cultural venue curators, who can then review matches, mark them as useful or reject them, and exploit them for various tasks, and most notably for the promotion of the venue and its content. More specifically, we have developed an application, which collects the 10 most popular twitter trends and then matches their content with the contents of a given cultural database. Using the results of this match, items from the database that may be related to current issues may be recommended to the user. As a result, these matches, after being inspected and approved by the administrator, can be used to attract the interest of the target audience, highlighting the correlation of current issues with the database's items.
Green Attributes and Customer-Based Brand Equity: Synthesis and Examination of Banking Services

Mounting concern for the environment and pressure from various stakeholders, particularly regulatory authorities, has led firms to adopt an 'environmentcentric' approach in their manufacturing and service operations. Academicians and researchers too have examined and reported positive outcomes of firms' demonstration of green-focused activities in the form of improved market and financial performance. However, green marketing practices have largely been investigated for their impact and linkages in an independent manner, rather than in conjunction with the elements of customer-based brand equity (CBBE). The present work addresses this void in literature by empirically investigating the synthesis and association between green practices of the banking sector and the three components of CBBE i.e. quality, image and loyalty. Using a structured questionnaire, responses of 166 bank customers were analysed to test the hypothesized relationships of the proposed framework. The results establish a strong and positive impact of 'policy-based' green attributes of banks on all three constituents of brand equity. Based on the findings, the paper draws useful implications for the banking sector and outlines the scope for future research in this pertinent domain.
SITE EFFECTS ON SURVIVAL AND GROWTH OF PLANTED SHOREA CURTISII IN A LOGGED-OVER HILL FOREST IN PENINSULAR MALAYSIA

Shorea curtisii (Dipterocarpaceae), the most dominant tree species found in the hill dipterocarp forests of Peninsular Malaysia, is an important commercial timber species in SouthEast Asia (Symington 1943). To supplement natural regeneration of logged-over forests, enrichment planting of seedlings of commercial tree species, including S. curtisii, has been carried out on skid trails and in logging gaps (Wan Shukri et al. 2008). Enrichment planting of S. curtisii in logged-over forests has shown poor survival and growth rates (e.g. Lok et al. 1996, Abd Rahman 2008). Failure of enrichment plantings has been attributed to factors including low survival due to inadequate post-planting treatments and high mortality due to poor planting stock (Tang & Wadley 1976). Further improvement of enrichment planting practices of this important SITE EFFECTS ON SURVIVAL AND GROWTH OF PLANTED SHOREA CURTISII IN A LOGGED-OVER HILL FOREST IN PENINSULAR MALAYSIA
Application of h-adaptive, high order finite element method to solve radial Schrödinger equation

The h-adaptive, high order finite element method is applied to solve a second order one dimension eigenvalue problem. The finite element formulation for the Lobatto basis is given, for which basis functions of arbitrary order can be constructed. The adaptive algorithm is simple, yet very efficient and straightforward to implement. The algorithm is based on the observation that the expansion coefficients of Lobatto basis functions decay rapidly. It allows evaluating the smallest eigenvalues simultaneously with the comparable accuracy for all eigenvalues. The presented algorithm is applied to solve the radial Schrödinger equation with the Coulomb and the Woods–Saxon potentials. For both potentials the convergence rate is presented. After seven adaptive iterations nine-digit accuracy was obtained.
Comparison of Diaphragmatic Paralysis, Respiratory Function and Postoperative Pain After Interscalene Brachial Plexus Block With a Reduction Dose of Levobupivacaine 0.25% 10 ml Versus 20 ml Undergoing Arthroscopic Shoulder Surgery: Study Protocol for the Randomized, Controlled and Double-blinded RED

Pablo Oliver-Fornies (  pablo.oliver.fornies@gmail.com ) Hospital Clínico Universitario Lozano Blesa https://orcid.org/0000-0001-7483-4807 Pablo Ortega Lahuerta Miguel Servet University Hospital: Hospital Universitario Miguel Servet Roberto Gomez Gomez Miguel Servet University Hospital: Hospital Universitario Miguel Servet Inmaculada Gonzalo Pellicer Miguel Servet University Hospital: Hospital Universitario Miguel Servet Leticia Oliden Gutierrez Miguel Servet University Hospital: Hospital Universitario Miguel Servet Jose Vinuales Cabeza Miguel Servet University Hospital: Hospital Universitario Miguel Servet Lucia Gallego Ligorit Miguel Servet University Hospital: Hospital Universitario Miguel Servet Carlos Edgardo Orellana Melgar Miguel Servet University Hospital: Hospital Universitario Miguel Servet
Longitudinally excited CO2 laser with tail-free short pulse

We developed a longitudinally excited CO2 laser with a tail-free short laser pulse. In a discharge tube, two structures were researched. One is a shingle scheme that is constituted of a 45 cm-long discharge tube. Another is a tandem that is constituted of two 30 cm-long discharge tubes connected with an intermediate electrode were used. In gas media, CO2- rich mixture (CO2: N2= 20: 1) was used to reduce a laser pulse tail. The laser system did not require expensive and scarce helium. A fast discharge (<1 μs) in a low gas pressure (<1.8 kPa) produced a tail-free laser pulse with the pulse width of about 100 ns. The single scheme produced an output energy of 4.7 mJ by a charging voltage of -36.3 kV, and the tandem scheme produced an output energy of 9.3 mJ by a charging voltage of -25.2 kV. The tandem scheme produced higher spike pulse by lower voltage than the single scheme. Therefore, the tandem scheme will be effective in longitudinally excited CO2 lasers with simple and compact designs.
How Important is Mentoring for New Contributors in an OSS Project? A Quantitative Study of the Rust Compiler Team

In order for an open source software (OSS) project to survive, the project must attract and retain new contributors. There are many things ecosystems do in order to sustain a project. Our paper looks at one of those initiatives, mentorship. In this paper we use quantitative practices to investigate how OSS projects matriculate and retain new contributors. Our quantitative analysis shows new contributors that submit pull requests that reference issues with a mentor present are more likely to stay for their second year after their first year. We then introduce a preliminary qualitative approach that unengaged mentors cause new contributor disengagement. Overall, we conclude that mentorship is paramount to retain new contributors in the Rust OSS ecosystem project.
Prevalence and Possible Risk Factors for Helicobacter pylori Seropositivity among Peptic Ulcerative Individuals in Nnewi Nigeria

ABSTRACT Helicobacter pylori colonize the human gastric epithelium, causing chronic gastritis, peptic ulcer disease and gastric cancer. This work determined the level of IgG seropositivity to Helicobacter pylori in peptic ulcerative individuals. A cross sectional study involving 179 peptic ulcerative individuals was conducted. Ethical approval was obtained and informed consent sought. Questionnaire was administered and 5 ml of blood was collected into EDTA containers. Subject selection was done using convenience sampling technique. The H. pylori seropositivity was determined using ELISA technique. The prevalence rate for H. pylori was 51.4% and the predominant seropositive age group was 24-35 years (22.9%). Age (p=0.00) was found to be a significant risk factor for H. pylori seropositivity. Females 50 (27.9%) were more seropositive to H. pylori than males 42 (23.5%) though the difference was not significant (p=0.281). Moreover, there was no significant relationship between source of drinking water and H. pylori seropositivity (p=0.433). Overall, borehole water 16 (8.9%) and sachet water consumers 57 (31.8%) predominated in the seropositive population. The results show that H. pylori is high among peptic ulcerative individuals in Nnewi and also, increased levels of interferon gamma may contribute to the development of H. pylori associated diseases.
Inflammatory Cytokine Expression of Immune Cells on Exposure to InvisalignÂ® Material: An In Vitro Pilot Study

ii TABLE OF CONTENTS.iii LIST OF FIGURES.vi LIST OF TABLES.xii CHAPTER 1: INTRODUCTION.1 CHAPTER 2: LITERATURE REVIEW.4 2.1. Invisalign.4 2.2. Side Effects.4 2.2.1. MAUDE Database.5 2.2.2. Case Reports.5 2.2.3. Biological Effects.6 2.3. SmartTrack Material.6 2.4. Isocyanates.7 2.4. 1. Adverse Effects . 7 2.5. Immunology Review.8 2.6. Inflammation.10 2.6. 1. Cytokines.11 2.7. Hypersensitivity Reactions.12 2.7. 1. Specifics of Type-IV Hypersensitivity Reactions.14 2.8. Immunologic Reactions from Isocyanates.15
Selling Products by Machine: a User-Sensitive Adversarial Training method for Short Title Generation in Mobile E-Commerce

In E-commerce portals, merchants don’t have the ability to write various titles for different customers, so they usually tend to write lengthy product titles to get most buyers’ attention. It is a crucial task to extract relevant keywords for displaying on the limited screen of mobile phones to fetch customers. Previous studies mainly focus on content-based methods, however, lack of user features may result in the generated titles containing rich product information while ignoring the user requirement. In this paper, we propose a Personalized Pointer Generative Adversarial Network (PPGAN) to generate personalized user-sensitive short titles. Even though in our sparse dataset the user-clicked data is limited due to the low Click-Through-Rate (CTR), our model could encourage the discriminator to identify the high-quality short titles from the user-unclicked data by employing an unsupervised information-theoretic assignment strategy. An extensive set of experiments on a large-scale E-commerce dataset indicates the advantage of the proposed method for generation qualities. Finally, we deploy our model into a real-word online E-commerce environment and boost the performance of CTR compared with state of art baseline methods.
Implementing an innovation strategy in wco;responding to disruptive events

Innovation is how organisations develop solutions to meet new challenges. The task involves recombining existing and new elements and capabilities to serve a new objective, frequently in new and evolving contexts. While recognising and acknowledging the work done by the World Customs Organization (WCO) in setting international standards, fostering international cooperation, and delivering capacity building, this article argues that new contexts and new opportunities frequently arise from crisis scenarios. The context for international organisations has been evolving in recent years, and COVID-19 could be an accelerator of these changes. The WCO, like many other international organisations, faces new challenges in an environment of uncertainty, and the way to stay relevant is through innovation. This article proposes a set of practical tools and steps towards implementing innovation processes in the WCO that can result in the creation of value for its Members and the Secretariat. © 2020, International Network of Customs Universities. All rights reserved.
Stability of silicon carbide structures: from clusters to solid surfaces

We present a density-functional based non-orthogonal tight-binding (DF–TB) Hamiltonian in application to silicon carbide. The Kohn-Sham orbitals of the system are represented by a linear combination of atomic orbital (LCAO) equation with respect to a minimal basis of the localized valence electron orbitals of all atoms. Within a two-centre approach all Hamiltonian and overlap matrix elements are derived in a parameter-free way via the construction of pseudo-atomic orbitals and potentials by self-consistent single-atom calculations using the local-density approximation (LDA). This is in favour of a tabulation of the corresponding Slater–Koster integrals vs. distance. Making use of a non-self-consistent solution of the Kohn-Sham equations for the many-atom structure and an adjustment of the universal short-range repulsive two-particle potentials with respect to self-consistent field (SCF)–LDA results in the method becoming sufficiently accurate to obtain the total energy of all-scale silicon carbide structures and this is transferable and efficient for predictive molecular-dynamics simulations. We present results for the energetic stability and properties of various microclusters and molecules including interactions with hydrogen. We give proof of the stability of the solid-state modifications and calculate the vibrational density of states for the most stable zinc blende structure. In addressing further applications to surface properties, we discuss the (1 × 1) reconstruction of the (110) SiC surface.
Analysis of Steroids using Solid Phase Microextraction-Gas Chromatography-Mass Spectrometry-Mass Spectrometry (SPME-GC-MS-MS)

Direct immersion SPME-GC-MS-MS was used for the analysis of steroids in water at part-per-trillion(ppt) and lower concentrations. The method was validated and extended to real sample analysis. The method were linear from 0.01 to 5 ng/ml with precision less than 10% relative standard deviation for a steroid mixture at 1 ng/ml. Limit of quantitation and limit of detection was found to be 200- 1200 pg/L and 30-200 pg/L respectively and recoveries ranged from 88-103 %. To understand the extraction efficiency of the fiber, a depletion study was performed. The fiber/ sample partition coefficients for the steroids were determined to be 1.0 x 10 4 to 1.5 x 10 4 . The extraction was
Antioxidant and anticandidal activity of Juniperus communis L.

Different solvent extract methanolic, ethanolic, Petroleum ether, Chloroform, Hot and cold aqueous extract of Juniperus leaves was tested against Candida albican. It was found that all the tested solvent extract Aqueous extract both cold and hot water of J. communis showed no activity against C. albican. However ethanol and petroleum ether showed maximum inhibitory action against C. albican. The MIC value of Petroleum ether extract was 25mg/ml, while in case of ethanol it was 50 mg/ml. Antioxidant activity of Juniperus leaves was evaluated by three methods. All method used showed that leaves of Juniperus has antioxidant activity.
Ambiguity Aversion, Group Heterogeneity and Corporate Investment

Ambiguity-averse individuals should reject profitable investments but prior literature indicates this aversion is mitigated by meaningful discussions. Group heterogeneity should enhance these discussions and thus increase investment efficiency. Consistent with this idea, investment rate is higher for firms with a more diverse management team. The effect is stronger for R&D than for tangible investment. These firms also experience a higher valuation for their investments. Multiple partitions indicate these effects are larger in samples in which the ambiguity-aversion is more relevant. All results hold after controlling for the amount of risk taken by the firm. Finally, stock returns are higher for firms managed by a more diverse team on days when there is a sudden increase in economy wide uncertainty.
Mesoporous silica nanoparticles functionalized with an oxygen-sensing probe for cell photodynamic therapy: potential cancer theranostics

Functionalization of mesoporous silica nanoparticles (MSNs) with Pd-porphyrins for cancer cell photodynamic therapy is reported. The composite platform, MSN–PdTPP, expands the role of Pd-porphyrins from their routine use as phosphorescence probes for oxygen sensing/imaging (diagnostics) to that of novel nano-photosensitizers for cancer cell phototherapy (therapeutics). The utility of MSN–PdTPP in the phototherapeutic treatment of MDA-MB-231 breast cancer cells is also evaluated, suggesting it is a promising cancer theranostic platform.
RGB imaging of laser-excited skin autofluorescence bleaching rates

In-vivo skin photo-bleaching (intensity decrease during irradiation) has been investigated at 405 nm cw laser excitation. Digital RGB photo-camera was used for studies of the bleaching features by analysis of fluorescent images at separated R, G and B spectral bands. Diagnostic potential based on correlations between skin pigmentation and bleaching rates is discussed.
Data Dependencies Extended for Variety and Veracity: A Family Tree

Besides the conventional schema-oriented tasks, data dependencies are recently revisited for data quality applications, such as violation detection, data repairing and record matching. To address the variety and veracity issues of big data, data dependencies have been extended as data quality rules to adapt to various data types, ranging from (1) categorical data with equality relationships to (2) heterogeneous data with similarity relationships, and (3) numerical data with order relationships. In this survey, we briefly review the recent proposals on data dependencies categorized into the aforesaid types of data. In addition to (a) the concepts of these data dependency notations, we investigate (b) the extension relationships between data dependencies, e.g., conditional functional dependencies (CFDs) extend the conventional functional dependencies (FDs). It forms a family tree of extensions, mostly rooted in FDs, helping us understand the expressive power of various data dependencies. Moreover, we summarize (c) the discovery of dependencies from data, since data dependencies are often unlikely to be manually specified in a traditional way, given the huge volume and high variety of big data. We further outline (d) the applications of the extended data dependencies, in particular in data quality practice. It guides users to select proper data dependencies with sufficient expressive power and reasonable discovery cost. Finally, we conclude with several directions of future studies on the emerging data.
Optimization of mobile scanning macro-XRF systems for the in situ investigation of historical paintings

Elemental distribution maps are of great interest in the study of historical paintings, as they allow to investigate the pigment use of the artist, to image changes made in the painting during or after its creation and in some cases to reveal discarded paintings that were later over painted. Yet a method that allows to record such maps of a broad range of elements in a fast, non-destructive and in situ manner is not yet commonly available; a dedicated mobile scanning XRF instrument might fill this gap. In this paper we present three self-built scanning macro-XRF instruments, each based on the experience gained with its precursor. These instruments are compared in terms of sensitivity and limits of detection, which includes a discussion of the use of polycapillary optics and pinhole collimators as beam defining devices. Furthermore, the imaging capabilities of the instruments are demonstrated in three exemplary cases: (parts of) historical paintings from the 15th to the 19th century are examined. These cases illustrate the value of element specific distribution maps in the study of historical paintings and allow in the case of Vincent van Gogh's “Patch of Grass” a direct comparison between in situ and synchrotron based scanning macro-XRF.
Preparation and Characterization of Palm-based Sodium Carboxymethyl Cellulose for Application in Food Additive

In this study, α-Cellulose extracted from oil palm empty fruit bunches (OPEFB) was used as the raw material for producing different grade carboxymethyl cellulose (CMC). For the conversion into carboxymethyl cellulose, the α-cellulose was subjected to an etherification process, using sodium hydroxide and monochloroacetic acid (MCAA), with isopropanol as a supportive medium. The calculated CMC yield from cellulose ranged from 115.43% to 149.35%. The results indicated that the concentration of NaOH did affect the properties of produced CMC. At higher concentrations of alkali, NaOH reacts with sodium monochloroacetate to form sodium glycolate, which leads to low purity of CMC produced. CMC's purity was increase with increasing the alkali concentration from 25 to 30% of NaOH and then decreased slightly. At a low concentration of 25 % of NaOH solutions, the DS value is higher, while the DS value decreases when the NaOH concentration increases to 35 %. The produced CMC was having a wide range of viscosity depend on temperature and CMC concentration. These optimization factors allowed CMC high purity, providing plenty of opportunities for its multi-application and could be exploited as food additives.
AN EXPERIMENTAL STUDY OF THE PRESSURE DROP IN FLUID FLOWS THROUGH WIRE GAUZES

Catalytic wire gauzes have been used for many years for ammonia oxidation. The flow and transfer properties of stacked gauzes, however, have not been sufficiently examined in the literature. This study presents an experimental program designed to characterize the pressure drops observed across stacked woven and knitted wire gauzes. This work generated an extensive database of measurements and reveals that each gauze requires its own correlation equation. Furthermore, previously published general models were not able to describe all four cases with high accuracy. After surveying the literature, we present some modifications to the models based on our collected experimental results.
MENTAL ILLNESS POTRAYAL IN MEDIA: A SUMMATIVE CONTENT ANALYSIS OF MALAYSIAN NEWSPAPERS

Stigmatization of mental illness is closely related with media representation. Newspaper is regarded as the main source of information for Malaysian public. However, the portrayal of mental illnesses in this form of media was never assessed. This study was conducted with the aims of evaluating how Bahasa Melayu newspapers reported mental illness issues and to quantify the frequency of negative depiction versus positive depiction of mental illness patient. Four daily Bahasa Melayu newspapers were examined page by page by the researchers during a five-week period, from July to August 2015. These newspapers were chosen based on their average daily circulation. The selected articles were coded according to coding frame developed by the authors. The data were then analyzed qualitatively using content analysis. A total of 46 articles were selected for analysis. The majority of tone used in the headlines of these articles was neutral and the majority of the tone used in the text was negative. The most common keyword in these articles was ‘sakit mental’. The findings were similar to what have been reported in other studies. In order to prevent further negative stigma on mental illness, several recommendations were discussed.