Miracle-dz/UniFAR-FTUs huggingface dataset:
Clostridium difficile infection occurred after radical hysterectomy for cervical cancer—a case report

Clostridium difficile infection (CDI) is a global health challenge. In recent years, the incidence of CDI is increasing rapidly. Clostridium difficile (C. difficile) is now a common cause of nosocomial infection. Surgery is a known risk factor for the development of CDI. However, the rate of CDI that occurred after Gynecological surgeries has been reported significantly less. We presented a case of a 44-year-old woman with FIGO stage IB1 invasive cervical cancer who suffered from high fever, chills and severe diarrhea after receiving laparoscopic radical hysterectomy with bilateral salpingectomy and pelvic lymph node dissection. The symptoms of surgical complications and bowl diseases overlap with those of patients in the case. CDI in gynecological surgery patients is often misdiagnosed and ignored due to the absence of prominent symptoms and signs, as well as the low rate of positive examination results. Therefore, it is necessary for early confirmation and treatment of CDI. PCR and two-step algorithm (GDH detection followed by nucleic acid amplification test) have been reported to be the rapid and accurate laboratory examination for the diagnosis of CDI. Owing to the rare property of this disease, we present this case to underscore the importance of early diagnosis and intervention for CDI after gynecological surgeries.
The effect of acidified seawater on shell characteristics of blood cockle, Tegillarca granosa

Our ocean currently has been recorded to absorb about 25% of anthropogenic CO2 on an annual basis. This has estimated the global average sea surface pH to decrease from 8.2 to 8.1 units since the pre-industrial revolution and to further drop between 0.1 to 0.3 units by the end of the 21 st century. This possesses a potential impact on wide range of marine organisms' especially marine calcifiers where the CO3 2is a fundamental mineral for shell and skeleton formation. In a 7-day experiment, this study investigated the effect of different pH treatments, which were pH 7.10, pH 7.50 and control pH (pH 7.81) on shell properties of the blood cockle, Tegillarca granosa. The shell weight and shell density of T. granosa was significantly reduced at pH 7.10. The smaller mean ratio for weight and density at pH 7.10 indicated there was a large difference between the initial and final value for weight and density. Furthermore, the scanning electron micrograph revealed the rough outer shell surface (periostracum) of T. granosa under decreased pH treatment (pH 7.10). However, the ocean acidification level of pH 7.50 which predicted to occur by the year 2300 showed no significant decrease in shell weight and shell density of T. granosa compared to the control pH treatment (pH 7.81).
ROR-NF-B/RelA-STAT3-FURIN-SARS-COV-2 Quantum Deep Learning Functional Similarities on Remdesivir, Ursolic Acid and Colchicine Drug Synergies to treat COVID19 in Practice

SARS coronavirus 2 (SARS-CoV-2) of the family Coronaviridae is an enveloped, positive-sense, single -stranded RNA betacoronavirus encoding a SARS-COV-2 (2019-NCOV, Coronavirus Disease 2019, that infect humans historically. Remdesivir, or GS-5734, is an adenosine triphosphate analog first described in the literature in 2016 as a potential treatment for Ebola. In 2017, its activity against the coronavirus family of viruses was also demonstrated. Remdesivir is also being researched as a potential treatment to SARS-CoV-2, the coronavirus responsible for COVID-19. Structure-Based Drug Design strategies based on docking methodologies have been widely used for both new drug development and drug repurposing to find effective treatments against this disease. Quantum mechanics, molecular mechanics, molecular dynamics (MD), and combinations have shown superior performance to other drug design approaches providing an unprecedented opportunity in the rational drug development fields and for the developing of innovative drug repositioning methods. In this research paper, we estimated the druggable similarity by applying an inverse docking multitask machine learning approach to basal gene expression in acute respiratory distress syndrome and response to single drugs. We tested 18 phytochemical small molecule libraries and predicted their synergies in COVID19 (2019-NCOV), which is associated with 1,000,000 deaths worldwide, to devise therapeutic strategies, repurpose existing ones in order to counteract highly pathogenic SARS-CoV-2 infection and the associated NOS3-COVID-19 pathology. We anticipate that our approaches can be used for prioritization of drug combinations in large scale screenings, and to maximize the efficacy of the Remdesivir, Colchicine and Ursolic acid drugs already known to induce synergy, ultimately enabling COVID19 patient stratification.
Ingesting Vespa Amino Acid Mixture Improves Plasma Lactic Acid Clearance During Anaerobic Exercise in Juniors

Certain kinds of amino acid may have special physiological function, such as improvement of muscle protein synthesis. While in the present study, a mixture composed of 17 kinds of amino acids in special ratio is confirmed to have benefits on exercise tolerance. This special amino acids composition is identical to the larvae’s larval saliva of Vespa Mandarinia (Vespa amino acid mixture, VAAM). Adult hornet flies velocities over 30 km/hour all day long taking the larvae’s larval saliva as the only food. The VAAM beverage was provided to young athletes with 6000mg amino acids per day for 10 weeks. Oral ingestion of VAAM beverage improved the blood lactate clearance rate, decreased the injury of red blood cell and maintained lower heart rate during exercise, shortened the running time for athletes, increased 6-km jog sweat volume and decreased body fat percentage for athletes. These results by this special amino acids composition is leading to a decreased incidence of sports injuries, which associated to improving the running times and exercise tolerance of young athletes in middle-distance running exercises.
Media Platforms and Political Learning: The Democratic Challenge of News Consumption on Computers and Mobile Devices

During the last decades, an important shift in media use is that people increasingly follow the news by using digital and portable media, while news consumption via traditional, offline media is decreasing. A key question is how this change influences the extent to which people seek out and learn about politics from the news media. Using a large twowave panel survey (N = 2,828) with detailed measures of political learning and consumption of the same news outlets on different media platforms, the study shows that while political interest has a positive impact on news consumption across all platforms, people mainly learn about current political affairs from using traditional, offline platforms. In contrast, there are no general learning effects from using news media on computers and mobile devices. The study thereby demonstrates how the increasing importance of newer, digital media platforms for news consumption challenges the ideal of a broadly informed citizenry.
Exploring the educational and motivational potential of virtual reality based apps in foreign language learning

Due to technological advancements, new tools such as Virtual Reality (VR) have been developed, whose usefulness has been explored in various fields, including education. ​ Thanks to this, VR language learning is becoming increasingly popular. ​ The purpose of the current study is to explore the potential of VR to improve the teaching-learning processes of foreign languages. To this end, first a literature review has been done on the use of VR for educational purposes and especially foreign language learning and then an analysis of two VR apps. Additionally, with the purpose of gathering valuable user feedback, a quasi experimental study was carried out with 30 English language learners. The study involved the testing of the two apps analyzed, as well as the evaluation of both apps in terms of usability, usefulness, attitude towards using, intention to use, playfulness and anxiety.
Antioxidant and Radical Scavenging of Piliostigma reticulatum using FRAP and DPPH

Reactive oxygen species are produced in the human body as a result of metabolism, food consumed by humans and overproduction and imbalance of free radicals as result of oxidative stress. Overproduction of free oxygen radicals lead to aging, cellular injury chronic diseases such as cardio-vascular, cerebrospinal diseases and death [1]. Researchers are on the lookout for compounds with high antioxidant activities in order to use them in foods and pharmaceutical preparations to replace the synthetic ones [2]. Plants have a large number of bioactive compounds with high natural antioxidant activity with little or no side effects.
Dual Radiator Based Low Profile Fan Beam Antenna for Millimeter Wave Fencing System

The paper describes the design, development, and characterization of a low profile, lightweight and linearly polarized fan beam radiating array antenna for millimeter wave fencing system. Dual antenna topology has been proposed for each transmit and receive tower to obtain maximum coverage area compared to a single antenna configuration. The radiator placement (height) has been optimized to minimize the dead zone region. Proposed RF fencing system utilizes an 8x32 probe-fed microstrip patch array antenna developed on 10 mils RT Duroid dielectric substrate material. ANSYS's High-Frequency Structure Simulator (HFSS) full-wave EM software has been utilized for simulation and analysis of designed radiating array. VSWR of the realized antenna is 1.75:1 over the frequency band of 34.5 GHz to 35.5 GHz. The E-plane and H-plane HPBW of the developed antenna at 35 GHz is 8.4 and 2.2 degrees respectively. The measured gain of the antenna is better than 25.4dBi over the frequency band 34.5 GHz to 35.5 GHz.
Solubility Data of Potential Salts in the MgO-CaO-SO2-H2O-O2 System for Process Modeling

This review studies unwanted precipitation reactions, which can occur in SO2 absorption processes using a magnesium hydroxide slurry. Solubility data of potential salts in the MgO-CaO-SO2-H2O system are evaluated. The reviewed data can serve as a reliable basis for process modeling of this system used to support the optimization of the SO2 absorption process. This study includes the solubility data of MgSO3, MgSO4, Mg(OH)2, CaSO3, CaSO4, and Ca(OH)2 as potential salts. The solubility is strongly dependent on the state of the precipitated salts. Therefore, this review includes studies on the stability of different forms of the salts under different conditions. The solubility data in water over temperature serve as a base for modeling the precipitation in such system. Furthermore, influencing factors such as pH value, SO2 content and the co-existence of other salts are included and available data on such dependencies are reviewed. Literature data evaluated by the International Union of Pure and Applied Chemistry (IUPAC) are revisited and additional and newer studies are supplemented to obtain a solid base of accurate experimental values. For temperatures higher than 100 °C the available data are scarce. For a temperature range from 0 to 100 °C, the reviewed investigations and data provide a good base to evaluate and adapt process models for processes in order to map precipitations issues accurately.
Non-invasive and Minimally Invasive Management of Carious Lesions in Children: A Scoping Review

Background: Dental caries is a major health problem affecting children in all areas of the world. Less-invasive treatment modalities are gaining popularity to avoid the burden of more conventional treatments. Aim: To provide a comprehensive and focused review of available evidence on non-invasive and minimally invasive caries management options in children. Materials and Methods: Relevant scientific research papers were retrieved by searching numerous databases, including MEDLINE, EBASE, PubMed, and Cochrane Library. The search was conducted up to the end of December 2020 using both free text and controlled vocabulary (MeSH) terms. The following search terms were used “Non-Invasive Dentistry”, “Minimally Invasive Dentistry”, “Stepwise Caries Excavation”, “Selective Caries Excavation”, “Partial Caries Excavation”, “Fluoride Varnish”, “SDF”, ‘Pit and Fissure Sealant”, “Atraumatic Restorative Treatment”, ‘Resin Infiltration”, and “Hall Crowns”. Studies published in English language in the period between 2000 and 2020 were considered for review. Systematic reviews with meta-analysis references’ lists were searched manually for possible missed articles in the preliminary search. Studies in English, published in the period between 2000 and 2020 and investigating one or more of the non-invasive and minimally invasive carious management techniques in children in regard to its survival/success, cost-effectiveness, and acceptability were included. Results: The preliminary search resulted in 225 articles with topics in the searched terms. The Second filtering of the articles revealed 73 papers meeting the pre-specified criteria. Conclusion: Success, cost-effectiveness, and acceptability of both non-invasive and minimally invasive treatments for children are supported by considerable evidence from randomized trials. Trials on broader scales and considering more than one aspect of caries management modalities in children will inform decision-making in pediatric dentistry.
A Corpus-Based Training Program in Teacher Education: The Case of Grammatical Competence in Writing

The current research sought to explore the effect of a corpus-based training program on developing grammatical competence as measured in the writing test among EFL majors at the Faculty of Education, AlAzhar University. To meet this end, a quasi-experimental method (the pretest-posttest control-group design) was adopted. The research participants totaling 59 students were randomly assigned into two groups, namely an experimental group (30 students) and a control one (29 students). A writing test was developed with a scoring rubric after testing its validity and reliability and a corpus-based program was developed as a treatment material for fulfilling the research purpose. Results of the study revealed that the corpus-based training program led to significant improvement in EFL student teachers' grammatical competence manifested in their writing. The study highly recommended that teacher education programs need to train student teachers on how to use corpus-based or data-driven language teaching in reaction to the needs and interests of the digital and Gen z students who are more knowledgeable than their teachers themselves. The study concluded with a number of recommendations concerning the use of corpus-based program, EFL grammatical competence and writing skills in initial-teacher education programs and teachers’ continuous professional development programs.
Generalized Integral Transform Method for Bending and Buckling Analysis of Rectangular Thin Plate with Two Opposite Edges Simply Supported and Other Edges Clamped

supported along remaining boundaries (x = 0, x = a) (CSCS plate). The considered plate is homogeneous, isotropic and carrying uniformly distributed transversely applied loading causing bending. Also studied, is a plate subject to (i) biaxial (ii) uniaxial uniform compressive load. The method uses the eigenfunctions of vibrating thin beams of equivalent span and support conditions in constructing the basis functions for the plate deflection and the integral kernel function. The transform is applied to the governing domain equation, converting the problem to integral equations for both cases of bending and elastic buckling. The integral equation reduces to algebraic problems for the bending problem, and algebraic eigenvalue problem for the elastic buckling problem. The deflections are obtained as double infinite series with rapidly convergent properties. Bending moments expressions are double series with infinite terms which are rapidly convergent. Maximum deflections and bending moments values occur at the plate centre in agreement with symmetry. The present results gave double series solutions with good convergent properties in closed form for bending problems. The resulting bending solutions were exact. Solving the resulting eigenvalue equation gave closed analytical equation for the buckling loads. Buckling loads are computed for the cases of biaxial and uniaxial uniform compression of square thin plates using one term approximations. The buckling load obtained for one term approximation of the eigenfunction gave results that are 12.23% greater than the exact solution. The use of more terms in the eigenfunction expansion could give more acceptable results for the eigenvalue problem of buckling of CSCS plates.
Uh, bueno, em ... : Filled pauses as a site of contact-induced change in Boston Spanish

There is mounting evidence that the filled pauses that pervade spontaneous speech constitute a rich site of linguistic inquiry. The present study uses a comparative variationist method to explore possible effects of language contact on pause behavior, examining 3810 filled pauses produced by 24 Spanish-speaking residents of Boston, Massachusetts. Interspeaker differences in pause behavior correlate with intensity of contact. Participants who have lived in the United States for a larger fraction of their lives, who use English more frequently, and who do so more proficiently fill pauses differently when speaking Spanish than do those who have spent less time in the contact setting and whose English skills and usage are more restricted. Results show that a greater degree of contact corresponds to increased use of centralized vowels in phonologically filled pauses (i.e., more frequent use of [a(m)] and [ə(m)] at the expense of [e(m)]). This pattern is interpreted as evidence of contact-induced change.
Informational features of WhatsApp in everyday life in Madrid: An exploratory study

WhatsApp is one of the most used social media tools, but little is known about its use for everyday purposes. In this study, the informational features of WhatsApp in everyday life in Madrid are analysed through 30 semi-structured interviews, resulting in an informational typology of the messages, a description of the informational purposes of WhatsApp use and descriptions of the social use of WhatsApp. We conclude that WhatsApp allows us to deepen our understanding of the informational habits of people in everyday life.
Conformational Analysis of Disaccharide Fragments of Blood Group Determinants in Solution by Molecular Modelling

A detailed investigation has been under taken on the conformational behaviour of seven disaccharide fragments from blood group de terminants of Type 1 and T y p e 2, namely /3-D-Gal-(l—>3)-/3D-GlcNAc ( / ) , /? -D-Gal-(l-+4)-/? -D-GlcNAc (II), o>L-Fuc-(l-^2)-/? -D-Gal {III), O > L F U C ( 1 + 3 ) / 3 D-GlcNAc (IV), O > L F U C ( 1 + 4 ) / 3 D G 1 C N A C (V), a-D-Gal-(l->3)-/? -D-Gal (VI), and a-D-GalNAc(1—>3)-/? -D-Gal (VII) in solution using molecular modelling methods . Two-dimensional rigid and adiabat ic (Ф, Ф) m a p s describing t h e energy as a function of rota t ion around corresponding glyco­ s i d e linkages were calculated by t h e R A M M molecular mechanics program which uses MM2(87) force field in conjunction with Monte Carlo simulation for a de terminat ion of t h e best side group or ientat ions a n d with t h e evaluation of solvation effects. This approach predicted different confor­ m a t i o n a l behaviour exhibited by these disaccharides. Whereas t h e rigid approach showed a very restr icted mot ion a b o u t glycosidic linkages, t h e relaxed m a p s implied considerable increase of flex­ ibility a n d several conformers were found for each of glycosidic linkages. Abundances of conformers appear t o depend on t h e solvent. Comparison shows t h a t t h e calculated d a t a are in agreement with t h e available exper imental da ta .
Deep Deterministic Policy Gradients for Optimizing Simulated PoA Blockchain Networks Based on Healthcare Data Characteristics

Article history: Received: 14 December, 2020 Accepted: 19 January, 2021 Online: 05 February, 2021 Blockchain technology has proven to be the best solution for digital data storage today, which is decentralized and interconnected via cryptography. Many consensus algorithms can be options for implementation. One of them is the PoA consensus algorithm, which is proven to provide high performance and fault tolerance. Blockchain has been implemented in many sectors, including the healthcare sector that has different characteristics of larger and more diverse record sizes. Implementing blockchain costs a lot of money. We used a blockchain network simulator as the best alternative in our research. The main problems with blockchain implementation are having a dynamic characteristic network and providing a blockchain system that is adaptive to network characteristics. Therefore, we propose a method to optimize the simulated PoA blockchain networks using Deep Deterministic Policy Gradients by adjusting the block size and block interval. The simulation results show an increase in effective transaction throughput of up to 9 TPS for AIH and 5 TPS for the APAC data models, and without affecting other important aspects of the blockchain.
Optimization: Microwave irradiation effect on polyphenolic compounds extraction from winter savory (Satureja montana L.)

ABSTRACT Microwave-assisted extraction of polyphenols with elevated antioxidant activity from winter savory was optimized by simultaneous maximization of total phenolics, total flavonoids yields, and antioxidant activity (measured by two assays—DPPH and reducing power assay). For optimization of microwave assisted extraction, Box–Behnken experimental design coupled with response surface methodology was applied. Independent variables were extraction time, ethanol concentration, and irradiation power. Analysis of variance was used to evaluate model fitness and determine optimal conditions.
Digital Kaizen: An Approach for Conducting Large-Scale Digital Transformation Projects

: While digital transformation creates opportunities across all industries, many businesses still do not know how to embark on this journey and hesitate to commit resources to such an unclear initiative. By using the interpretive case study method, this paper investigates how Digital Kaizen – a philosophy that focuses on making continuous digital improvements – could guide large-scale digital transformation activities in incremental steps . Our findings show that the adoption of Digital Kaizen has urged the investigated organization to continuously address cross-functional issues that are aligned with their strategic business goals, through implementing incremental digital changes that improve business processes and people engagement. Subsequently, these activities lead to sustainable and scalable digital transformation success that re-defines the orga nization’s value creation processes and identity. This research suggests a new strategy for conducting large-scale digital transformation, by integrating Kaizen philosophy into digital transformation practices.