Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Knowledge, Awareness, Attitudes and HTN Outcomes in a Group of Counseled Hypertensive Patients Compared To Those Who Was Not Counseled

Submit Manuscript | http://medcraveonline.com Patients with HTN may fail to follow their medication, because of a symptomless nature of their condition, long duration of therapy, side effects, complicated drug regimens, lack of understanding about HTN management and risks, problem of economic status and individual differences among medications [5]. HTN nearly affects 26% of adult population worldwide. By 2025 it is projected that 29% of the world’s population [1,2]. These studies indicate that 20% to 50% of patients do not take their medications as prescribed. This indicates that medication non-adherence is the multifaceted problem, responsible for increasing the important medical and public health issues like worsened therapeutic outcome, higher hospitalization rates and increased health care costs [1,4]. It involves interaction between a pharmacist and a patient [6]. Pharmacists can contribute to positive outcomes by educating and counseling patients to prepare and motivate them to follow their pharmaco-therapeutic regimens and monitoring plans [7].
CT demonstration of acute gastrointestinal bleeding caused by gallbladder carcinoma eroding the pyloric canal. A case report.

Gall bladder cancer is a rare cause of gastrointestinal bleeding, and it is extremely rare for hematemesis to be the initial manifestation of invasive gall bladder cancer. We report a case of a 45-year-old woman who had undergone open cholecystectomy one year back for gall stone disease and now presented with hematemesis. She was found to have a bleeding ulceration of the pylorus on upper gastrointestinal endoscopy. CT showed a hetrogenous gall bladder fossa mass infiltrating into the adjacent liver with loss of the fat plane between the mass and the thick-walled pylorus, with air within the mass compatible with invasion of pylorus. Image-guided fine-needle aspiration biopsy confirmed the lesion histopathology as gall bladder adenocarcinoma.
The instability of liquid films with temperature-dependent properties flowing down a heated incline

We investigate the stability of free-surface flow on a heated incline. We develop a complete mathematical model for the flow which captures the Marangoni effect and also accounts for changes in the properties of the fluid with temperature. We apply a linear stability analysis to determine the stability of the steady and uniform flow. The associated eigenvalue problem is solved numerically by means of a spectral collocation method. Comparisons with nonlinear simulations are also made and the agreement is good.
Legitimation strategies of informal groups of states: The case of the E3 directoire in the nuclear negotiations with Iran

The European Union has seen the rise of informal groups of states as an increasingly important governance mechanism within its formal structures. Such groups can make decision-making processes more efficient, but they also suffer from a substantial lack of legitimacy in the eyes of the non-members. In this article, we examine how informal groups overcome this fundamental dilemma between efficiency and legitimacy and sustain themselves at the forefront of important policy areas. To this end, we trace the development of what we argue to be a particularly useful case: the E3 directoire in the nuclear negotiations with Iran. The empirical results point to new insights into how directoires – and informal groups in general – can use different types of legitimation strategies to gain and maintain legitimacy. More specifically, the E3 implemented three successive legitimation strategies – detachment, co-optation and integration – using different types of legitimacy sources, in particular problem-solving, institutional adjustments and fostering institutional and policy congruence.
Trade Agreements and Global Value Chains: New Evidence from China’s Belt and Road Initiative

This paper investigates the relationship between China’s trade agreements (TAs) and partner countries’ upgrade in global value chains (GVCs). We focus on the experience of China and relate China’s TAs with one belt and one road (OBOR) initiative. A structural equation model (SEM) is applied on a dataset including 216 countries and regions to identify the direct and indirect effects of China’s TAs and OBOR initiative on its export, outwards foreign direct investment (OFDI) and partner economy’ GVCs upgrade over the period 2010–2015. We find that China’s TA partner countries are more likely to be included in the OBOR initiative than those non-TA partner countries. The positive effects of China’s TAs and OBOR initiative on China’s export, outwards foreign direct investment (OFDI) and partner countries’ upgrade in GVCs differ across country groups at the different locations of GVCs. Both vertical and horizontal spillover effects exist in China’s TAs. Therefore, the partner countries at low end and middle of GVCs might benefit more from TAs with China than those richer countries at the high end of GVCs.
Overpricing persistence in experimental asset markets with intrinsic uncertainty

Abstract To study coordination in complex social systems such as financial markets, the authors introduce a new prediction market set-up that accounts for fundamental uncertainty. Nonetheless, the market is designed so that its total value is known, and thus its rationality can be evaluated. In two experiments, the authors observe that quick consensus emerges early yielding pronounced mispricing, which however does not show the standard “bubble-and-crash”. The set-up is implemented within the xYotta collaborative platform (https://xyotta.com). xYotta’s functionality offers a large number of extensions of various complexity such as running several parallel markets with the same or different users, as well as collaborative project development in which projects undergo the equivalent of an IPO (initial public offering) and whose subsequent trading matches the role of financial markets in determining value. xYotta is thus offered to researchers as an open source software for the broad investigation of complex systems with human participants.
Artificial Intelligence (AI) Chatbot as Language Learning Medium: An inquiry

In facing industry revolution 4.0, utilizing advanced information and computer technology in educational environment is crucial. One of the advanced computation technologies that can be used for learning, especially language learning, is chatbot. Chatbot is a computer program based on artificial intelligence that can carry out conversations through audio or text. This study intends to find out and analyze the types of artificial intelligence in the form of chatbots and the possibility of their use as language learning medium. The data in this study obtained from literature review on chatbot researches, and from observation results on chatbot-based language learning medium developed by the author. The results indicated that chatbots have a high potential to be used as a language learning medium, both as tutor in practicing language, and as independent learning medium. Moreover, research results revealed that language learners are interested in using chatbots because they can be used anytime and anywhere, and they are more confident in learning languages using chatbots than when dealing directly with human tutors.
Development of Shale Gas Prediction Models for Long-Term Production and Economics Based on Early Production Data in Barnett Reservoir

This study examined the relationship between the early production data and the long-term performance of shale gas wells, including the estimated ultimate recovery (EUR) and economics. The investigated early production data are peak gas production rate, 3-, 6-, 12-, 18-, and 24-month cumulative gas production (CGP). Based on production data analysis of 485 reservoir simulation datasets, CGP at 12 months (CGP_12m) was selected as a key input parameter to predict a long-term shale gas well’s performance in terms of the EUR and net present value (NPV) for a given well. The developed prediction models were then validated using the field production data from 164 wells which have more than 10 years of production history in Barnett Shale, USA. The validation results showed strong correlations between the predicted data and field data. This suggests that the proposed models can predict the shale gas production and economics reliably in Barnett shale area. Only a short history of production (one year) can be used to estimate the EUR and NPV of various production periods for a gas well. Moreover, the proposed prediction models are consistently applied for young wells with short production histories and lack of reservoir and hydraulic fracturing data.
“Le désir amputé, sexual experience of Lebanese women”

It has been thirteen years and a half years since L’Harmattan published my work “Le desir ampute” on the sexual experience of the Christian woman in a traditional Lebanese society, and fifteen and a half years since it has been submitted as a PhD thesis. Ever since, solicitations concerning the same theme at meetings, in periodicals … have been at the origin of further publications on sexual education, the male/female relationship, the experience of the body, etc …
Low-Cost High-Gain Superstrate Antenna Array for 5G Applications

A high-gain superstrate antenna array is designed at 60 GHz. The proposed antenna array is extremely low in cost and possesses high performance metrics. The proposed structure can be integrated easily into many modern millimeter-wave/5G transceivers. The array boresight gain is 19.4 dBi, the relative bandwidth is 10.7%, and the maximum gain variation is 1.7 dB within the operating bandwidth.
BIOFILM FORMATION AND MOLECULAR CHARACTERISATION OF STAPHYLOCOCCUS AUREUS ISOLATED FROM ORTHOPAEDIC IMPLANT RELATED INFECTIONS DEPENDS ON TYPE OF DEVICE

Summary Staphylococcus aureus isolates from Fracture fixation device related infections contained fewer isolates that form a strong biofilm in comparison with isolates from Prosthetic joint infections. Both orthopaedic implant related infection groups possessed fnbB and sdrE more frequently than the non-implant related infection groups. Introduction One of the most common pathogen causing musculoskeletal infections is Staphylococcus aureus . The aim was to characterise S. aureus isolated from these infections and to look for differences between the isolates from orthopaedic implant related infections (OIRI) and those in non-implant related infections (NIRI). The OIRI are further differentiated in those associated with fracture fixation (FFI) devices and those found in prosthetic joint infections (PJI). Methods Three-hundred and five S. aureus isolates were collected from different Swiss and French hospitals (FFI, n=112; PJI, n=105; NIRI, n=88). The cases of NIRI were composed of 27 osteomyelitis (OM), 23 diabetic foot infections (DFI), 27 soft tissue infections (STI) and 11 postoperative spinal infections (SI). Isolates were tested for their ability to form a biofilm. They were typed by agr (accessory gene regulator) group and g enes coding for the 13 most relevant MSCRAMMs, Panton-Valentine leukocidin (PVL), PIA (polysaccharide intercellular adhesin), γ-haemolysin, the five most relevant Staphylococcal enterotoxins (SEA-SEE), exfoliative toxins A and B (ETA and ETB) and toxic shock protein (TST) were screened for by PCR. Results The majority of the S. aureus isolates were methicillin susceptible (MSSA) with 83.4% for the OIRI and 93.2% for the NIRI. All isolates were able to produce a biofilm. A strong biofilm was produced in 13.8% of the OIRI isolates compared to 10.2% of the NIRI isolates. The difference between the isolates of the PJI versus the FFI was statistically significant (20% vs 8%; p=0.011). All four agr types were present in all groups. agr I predominated in the OIRI (42.4%) as well as in the NIRI (44.4%). Comparing OIRI with NIRI, agr II was present in a higher prevalence in OIRI (30.9% vs 14.8%) and agr III in a lower incidence (21.2% vs 30.7%). Genes cna , clfA and bbp were exhibited predominantly by isolates from the NIRI, while the fnbB and the sdrE gene were more frequently observed among OIRI. Conclusions Methicillin susceptible S. aureus (MSSA) was more prevalent than methicillin resistant S. aureus (MRSA) in this collection. Possible trends for the orthopaedic device associated infection groups FFI and PJI could be observed whereby isolates from PJI produced stronger biofilm than isolates from the FFI group. The agr type agr II, the fnbB gene and sdrE gene were more prevalent present in the OIRI compared to the NIRI. In contrast, agr III, and the bbp gene were more prevalent in the NIRI than in the OIRI.
Young Specialists’ Career Choices and Work Expectations

Abstract The purpose of this study was to explore the cultural and structural conditions that influence male and female physicians’ career choices and career expectations. Although women constitute 59 percent of the physicians and 55 percent of the specialists in Finland in 2014, the rate of women in oto-rhino-laryngology (38 percent) was one of the lowest among the specialties. The data consist of semi-structured interviews with young physicians (N = 19), who have entered a career in oto-rhino-laryngology (ORL) in Finland. The results point to three features which characterize the career pattern in the specialty. First, the specialty is not one that draws students to medicine per se but rather one that is chosen during medical training. The decision to specialize in ORL was by many respondents framed as a “coincidence,” while others were attracted by the diverse character of the specialty. Second, the skills needed for being a “good” practitioner were defined as handiness, courage, and social skills, but these were not defined in a gendered way. Third, the career prospects for women within the specialty were defined by a neutralizing or a gendering framework. The neutralizing framework was represented by the pipeline argument which suggests that there is a temporary time lag in women’s representation in higher positions and that women are advancing steadily in the academic and administrative pipeline. The gendering framework pointed to the male ethos of the surgical tasks in the specialty as a barrier for women’s advancement in those areas. This chapter concludes that the pipeline view belittles existing gender inequalities in men’s and women’s medical careers and views gender differences as temporary maladjustments rather than inherent features of gendered organizations.
Image improvement in digital tomosynthesis (DTS) using a deep convolutional neural network

Digital tomosynthesis (DTS) is a geometric tomography technique using a limited-angle scan. It has been popularly used in both medical and industrial x-ray imaging applications. DTS provides the tomographic benefits of computed tomography with reduced dose and time. However, conventional DTS reconstruction based on the computationally cheap filtered back-projection (FBP) method typically produces poor image quality due to limited angular samplings. To overcome these difficulties, iterative reconstruction methods are often used in DTS reconstruction as they have the potential to provide multiplanar images of higher quality than conventional FBP-based methods. However, they require enormous computational cost in the iterative process, which remains an obstacle to practical applications. In this study, we propose a method for effectively reducing limited-angle artifacts in conventional FBP reconstruction, using a state-of-the-art deep learning scheme with a convolutional neural network. Our results indicate that the proposed DTS reconstruction method effectively minimized limited-angle artifacts, thus improving image performance in DTS, and that further it provided good image quality in both sagittal and coronal views (as in computed tomography) as well as in axial view.
Predicting Automation of Professional Jobs in Healthcare

Highly-skilled professional jobs have been considered somewhat resistant to automation due to their reliance on judgement and creativity. Still, recent technological advancements such as artificial intelligence are threatening to disrupt even the jobs of professionals. This is particularly relevant in healthcare which accounts for one quarter of all professional jobs in the U.S. We test a model for predicting job automation based on concepts from recent research literature and extensive U.S. job data. We demonstrate that low automation of professional jobs can be attributed to creative skill requirements and interpersonal skill requirements. When we repeat the analysis with just the healthcare jobs we find that professional training seems to relate to lower amounts of job automation independent from creative and interpersonal skill requirements. Healthcare professions seem resistant to automation beyond what a factor model would explain. We provide theories for the unusually low automation of the jobs of healthcare professionals.
Simulations and Measurements of Warm Dark Matter Free-Streaming and Mass

We compare simulated galaxy distributions in the cold ΛCDM and warm ΛWDM dark matter models. The ΛWDM model adds one parameter to the ΛCDM model, namely the cut-off wavenumber kfs of linear density perturbations. The challenge is to measure kfs. This study focuses on “smoothing lengths” π/kfs in the range from 12 Mpc to 1 Mpc. The simulations reveal two distinct galaxy populations at any given redshift z: hierarchical galaxies that form bottom up starting at the transition mas Mfs, and stripped down galaxies that lose mass to neighboring galaxies during their formation, are near larger galaxies, often have filamentary distributions, and seldom fill voids. We compare simulations with observations, and present four independent measurements of kfs, and the mass mh of dark matter particles, based on the redshift of first galaxies, galaxy mass distributions, and rotation curves of spiral galaxies.
Optical Metasurface‐Based Holographic Stereogram

Holographic stereography providing binocular depth cues is one of the most promising technologies for 3D displays. However, conventional holographic stereograms based on micrometer‐scale pixels suffer from multiple diffraction orders and narrow viewing angles. Optical metasurfaces with sub‐wavelength‐scale features have recently been leading amongst the state‐of‐the‐art technologies in 3D holograms but employing only monocular depth cues. Here, a novel method is presented based on optical metasurfaces for obtaining a binocular holographic stereopsis. The demonstrated optical metasurface is an ensemble of several hologram pieces, which produce the different 2D projections of the target 3D structure depending on the observation direction, and displays the holographic stereogram of 25 × 25 × 25 µm3 over a wide viewing angle of more than ±30°. A Gerchberg–Saxton algorithm modified with a spatial Fourier filter calculates the phase and amplitude distribution of meta‐atoms. The results will open avenues to advanced eyeglasses‐free 3D displays that can provide rich and well‐defined depth cues.
Experiência com Aprendizado de Máquina para Construção de um Digital Twin para a Indústria da Mineração

Industrial equipment are subject to different operational conditions during their lifecycle which makes the use of classic modeling and simulation techniques more complex. The digital convergence paved the way for the development of models capable of adatping to operational changes therefore predicting occurrences and prescribing actions accurately. Use of digital twins is in the early stages in the mining industry, this article presents: concepts and related work to digital twins; experience and preliminary results in the development of machine learning to predict failures towards the construction of a digital twin for a long distance conveyor belt; and proposes an architecture for a digital twin environment based on the experience. Equipamentos industriais estão sujeitos a diferentes condições operacionais durante seu ciclo de vida que tornam complexo o uso da modelagem e simulação clássicas. A convergência digital abriu caminho para desenvolvimento modelos capazes de se adaptarem e melhor prever situações e prescrever ações. O emprego de digital twins na indústria de mineração é incipiente, este artigo apresenta: conceitos do digital twin e trabalhos relacionados à indústria em geral; a experiência e resultados preliminares no desenvolvimento de aprendizado de máquina para predição de falhas em direção à construção de um digital twin de um transportador de correia de longa distância; e uma proposta de arquitetura para um ambiente de digital twin a partir da experiência.
Research on Commodity Recommendation Algorithm Based on Collaborative Filtering

: the Rapid Development of e-Commerce Has Led to Tremendous Changes in the Retail Industry. More and More Offline Enterprises Have Begun to Turn to Online Development, and after Experiencing the Rapid Growth of Users, They Gradually Began to Face Problems Such as Slow Growth of Users and Disappearance of e-Commerce Dividends. At the Same Time, as Incomes Increase, Consumer Demand is Increasingly Diversified. Therefore, This Paper Constructs a Collaborative Filtering Algorithm to Study Commodity Recommendation, in Order to Solve the Development Problems Faced by Enterprises and Meet the Individual Needs of Users.
Alfabetización académica temprana a través del aprendizaje basado en proyectos

El aprendizaje basado en los proyectos ha ganado terreno como recurso para abordar la ensenanza de contenidos desde un prisma interdisciplinar y colaborativo. De ahi que su validez haya sido probada en todas las etapas educativas y con diversos objetivos didacticos. En este trabajo se pone el foco en las potencialidades de este enfoque para dar respuesta a la necesidad de alfabetizacion academica del alumnado de los primeros cursos de los grados universitarios. Concretamente, se hace una propuesta de uso de esta metodologia para la ensenanza del discurso academico oral y escrito a la par que se instruye a los estudiantes en contenidos propios de su area disciplinar. Se trata de una propuesta disenada para el primer curso del Grado de Educacion Primaria y para la asignatura de Desarrollo de la Competencia Comunicativa I. Esta propuesta deja de manifiesto (i) la importancia de trabajar el discurso academico oral y escrito de manera especifica y (ii) la posibilidad de trasladar esta misma propuesta a diferentes areas del saber.
Combined Experimental and Theoretical Investigation of the Origin of Magnetic Anisotropy in Pentagonal Bipyramidal Isothiocyanato Co(II), Ni(II), and Fe(III) Complexes with Quaternary-Ammonium-Functionalized 2,6-Diacetylpyridine Bisacylhydrazone

The magnetic anisotropy in pentagonal bipyramidal complexes of Co(II) (1 and 2), Fe(III) (3 and 4) and Ni(II) (5) with 2,2′-[2,6-pyridinediylbis(ethylidyne-1-hydrazinyl-2-ylidene)]bis[N,N,N-trimethyl-2-oxoethanaminium] equatorial ligand and isothiocyanato axial ligands has been investigated by magnetic susceptibility measurements, powder X-band EPR spectroscopy, Mossbauer spectroscopy, ab initio, and LFDFT calculations. The studied complexes display three distinct types of magnetic anisotropy. Co(II) complexes (1 and 2) show an easy plane anisotropy with large and positive D values and negligible rhombicity. Ni(II) complex (5) has uniaxial magnetic anisotropy with negative D value. Fe(III) complexes (3 and 4) have small ZFS parameters. Theoretical modeling was used to rationalize the magnetic anisotropy in these systems and to identify the most important excited states that are responsible for the zero-field splitting. These excitations are a consequence of the electronic structure of the central metal io.