Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence of Discharge against Medical Advice (DAMA) Among Acute Myocardial Infarction (AMI) at King Fahad Medical City (KFMC) in Saudi Arabia

: Leaving hospital against medical advice may have adverse consequences. Previous studies have been limited by evaluating specific types of myocardial infarction patients, small sample sizes and incomplete determination of outcomes. Discharge against medical advice (DAMA) has been associated with increased morbidity and re-admission of the patients who have been DAMA. The present study aims to determine the prevalence of DAMA among AMI patients and to find out the associated factors for DAMA. A retrospective study was conducted from January 2013 to December2014 in KSHC at KFMC hospital in Riyadh, KSA. Data collection was performed using a two-part checklist including demographic factors, information about hospital and DAMA reasons. The profile of all DAMA patients was studied. There were 507 patients with AMI, 37 patients (7.3%) who’s left against medical advice. Compared with those who didn't leave against medical advice, age more often in (41-60), more often make. The readmission period more often be more one month, they had 11.1% died after (DAMA), The most often reason of DAMA among myocardial infarction patients (83.8%). after . All ethical requirements such as written informed consent and assurance of confidentiality of responses were strictly adhered to throughout the study. We conducted a retrospective study using hospital discharge data of all patients discharged from KSHC during the period of 2013-2014. We collected demographic data including age (20-40,41-60,> 60), and gender(Female, Male). Moreover, risk factors (hypertension, diabetes mellitus, smoker, dyslipidemia, family history)were collected in terms of co morbidities including diabetes, hypertension dyslipidemia, smoking. Family history of chronic diseases was collected. The outcome was defined as death, readmission and increased disease severity. Period before readmission was reported as more or less than one month. Information regarding the decision of discharge whether with or against medical advice was also recorded. The second part, included tools to know reasons that lead myocardial infarction patients to DAMA. Reasons for DAMA were addressed in three main areas: personal and family reasons, reasons associated with hospital personnel, reasons associated with treatment and associated welfare sectors. The patients 'causes were recorded as a subset of these three areas in the check list. The primary outcome was subsequent hospital admission for acute myocardial infarction or all-cause of readmission and death during DAMA defined as a discharge diagnosis of AMI. Our primary outcomes were defined as readmission to hospital within 30 days or more after discharge. Death based on KSHC mortality data. Data was analyzed by SPSS 16 software. For descriptive data, descriptive statistics (percentage, frequency, mean, standard deviation and cross-tabulations) and for analytical data, inferential statistics (Pearson correlation
Graph Federated Learning with Hidden Representation Sharing

Learning on Graphs (LoG) is widely used in multi-client systems when each client has insufficient local data, and multiple clients have to share their raw data to learn a model of good quality. One scenario is to recommend items to clients with limited historical data and sharing similar preferences with other clients in a social network. On the other hand, due to the increasing demands for the protection of clients' data privacy, Federated Learning (FL) has been widely adopted: FL requires models to be trained in a multi-client system and restricts sharing of raw data among clients. The underlying potential data-sharing conflict between LoG and FL is under-explored and how to benefit from both sides is a promising problem. In this work, we first formulate the Graph Federated Learning (GFL) problem that unifies LoG and FL in multi-client systems and then propose sharing hidden representation instead of the raw data of neighbors to protect data privacy as a solution. To overcome the biased gradient problem in GFL, we provide a gradient estimation method and its convergence analysis under the non-convex objective. In experiments, we evaluate our method in classification tasks on graphs. Our experiment shows a good match between our theory and the practice.
FETI Domain Decomposition Methods for Second Order Elliptic Partial Differential Equations

A survey on certain Finite Element Tearing and Interconnecting (FETI) methods for second order elliptic partial differential equations is given. FETI methods are nonoverlapping domain decomposition algorithms where continuity across subdomain boundaries is treated, sometimes only in parts, by Lagrange multipliers. The family of FETI algorithms is among the best known and most severely tested domain decomposition methods for elliptic partial differential equations. In this article, an overview is given of the classical one‐level FETI method and the more recent dual‐primal FETI methods; both type of algorithms are considered for scalar, second order, elliptic equations and the system of linear elasticity, and are illustrated by some computational results. (© 2006 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Determinants of Unemployment and Unemployment Duration

— Unemployment is a global problem and in Sri Lanka has continued to be consistently high. Consistently high unemployment is irrespective of the economic growth but cause to change the Gross Domestic Product. The aim of this study is providing a statistical tool to model unemployment and unemployment duration to enhance the dynamics of the unemployed. Basically used primary data through questionnaire and two stage stratified sampling procedure is adopted to select a sample of 1200 housing units in Kalutara district. Chi square test, Binary Logistic Regression and Cox Regression used as the main analytical tools to find out the determinants of unemployment and unemployment duration. The results reviled that living sector, gender, level of education and language constraints are highly associated with unemployment of an individual. The majority among unemployed are young people who belongs to age group 15 – 29 years and it shows that unemployment rate declines with the age. Highest unemployment rate is reported from educated group. It can be highlight that long-terms unemployment amongst Sri Lankans mainly due to their extended job search.
Effect of Extraction Solvent on Total Phenol, Flavonoid Content, and Antioxidant Activity of Avicennia Officinalis

: The mangrove plant - Avicennia officinalis L has been widely used for the treatment of various diseases such as anti-inflammatory, anticancer, antioxidant therapy. In this study, we optimize the extraction process using the easily obtainable solvents with different polarities toward obtaining high total phenolic- and flavonoid- contents from Avicennia officinalis L's leaves. The influences of solvents (i.e., methanol, ethanol, ethyl acetate, acetone, dichloromethane, and chloroform) in the extraction process on total phenolic-, flavonoid- contents and their antioxidant activity were investigated. Avicennia officinalis L was extracted using six solvents. The total phenolic and flavonoid contents were determined by the phytochemical screening method. The antioxidant activity of extracted phenolics and flavonoids was studied by using 2,2-diphenyl-1-picrylhydrazy (DPPH) radical scavenging assay and 2,2-azinobis- (3-ethylbenzothiazoline-6-sulfonate) (ABTS+) radical scavenging assay. As a result, the highest extraction yield was obtained using methanol (10.56%). In addition, the extract obtained using acetone solvent exhibited the highest antioxidant activity in the DPPH assay. Meanwhile, the extract obtained using ethyl acetate solvent showed the highest antioxidant activity in the ABTS+ assay. The acetone- extract also exhibited high phenolic content (100.64 mg GAE/g) and flavonoid content (95.44 mg QCE/g). This study confirms that, besides commonly used solvents such as methanol, ethanol, etc., acetone is also a good solvent for extracting polyphenols from the mangrove plant - Avicennia officinalis L. for antioxidants.
Effect of Management’s Competencies and Digital Skills on Digital Business Model Maturity for SMEs

The uptake of digital business models has been distinctly evident over recent years, causing profound changes across industries. Even though various scholarly papers attempt to investigate those developments, empirical studies of factors that influence digital business models ’ maturity are still scarce. This research article aims to address this literature gap, achieved by empirically testing the relationship between relevant managerial factors and digital business models’ maturity. Through a multi-national study with 162 participating companies operating within the sector of yachting tourism, followed by a qualitative and quantitative analysis of the obtained primary results, it has been found that managerial competencies, including management education and their digital skills, positively affect digital business model maturity of the respective companies.
Feedback in W49A diagnosed with radio recombination lines and models

We present images of radio recombination lines (RRLs) at wavelengths around 17 cm from the star-forming region W49A to determine the kinematics of ionized gas in the THOR survey (The H I/OH/Recombination line survey of the inner Milky Way) at an angular resolution of 16. ′′8 × 13. ′′8. The distribution of ionized gas appears to be affected by feedback processes from the star clusters in W49A. The velocity structure of the RRLs shows a complex behavior with respect to the molecular gas. We find a shell-like distribution of ionized gas as traced by RRL emission surrounding the central cluster of OB stars in W49A. We describe the evolution of the shell with the recent feedback model code WARPFIELD that includes the important physical processes and has previously been applied to the 30 Doradus region in the Large Magellanic Cloud. The cloud structure and dynamics of W49A are in agreement with a feedback-driven shell that is re-collapsing. The shell may have triggered star formation in other parts of W49A. We suggest that W49A is a potential candidate for star formation regulated by feedback-driven and re-collapsing shells.
The effects of experiential value, technology acceptance and satisfaction on users’ intention to continue using - A case study of an English online dictionary in Guangxi, China

The This paper is a case study on the influence of three factors – experiential value, technology acceptance and satisfaction – on the activities of users of an English online dictionary. Variables of experiential value that were explored in this study include aesthetics, escapism, service excellence, and return on investment (ROI) for the consumer. Variables of technology acceptance that were explored in this study include perceived usefulness, perceived ease of use, and perceived enjoyment. Another variable, user satisfaction, was also measured. Data was collected from 384 English online dictionary user in Guangxi province, China via a questionnaire. The sample consisted of (160) men (41.2%) and (224) women (59.8%); a majority were aged 21 to 30 years, and a majority of them had studied at university. It was found using regression analysis that quality of service, consumer ROI, perceived ease of use and perceived enjoyment significantly influenced respondents’ intentions to continue using the online English dictionary. However, some respondents also recommended that the online dictionary publishers should make interpretations more understandable, improve the correctness of pronunciation of words, and make the website more navigable and user-friendly. This paper provides an insight into how online English dictionary businesses could enhance user satisfaction among consumers in terms of experiential value and technology acceptance.
Stellar abundance of binary stars: their role in determining the formation location of super-Earths and ice giants

Binary stars form from the same parent molecular cloud and thus have the same chemical composition. Forming planets take building material (solids) away from the surrounding protoplanetary disc. Assuming that the disc's accretion on to the star is the main process that clears the disc, the atmosphere of the star will show abundance reductions caused by the material accreted by the forming planet(s). If planets are only forming around one star of a binary system, the planet formation process can result in abundance differences in wide binary stars, if their natal protoplanetary discs do not interact during planet formation. Abundance differences in the atmospheres of wide binaries hosting giant planets have already been observed and linked to the formation location of giant planets. Here, we model how much building material is taken away for super-Earth planets that form inside/outside of the water ice line as well as ice giants forming inside/outside of the CO ice line. Our model predicts a significant abundance difference δ[X/H] in the stellar atmospheres of the planet-hosting binary component. Our model predicts that super-Earths that form inside the water ice line (r rH2O) in the water-rich parts of the disc. Additionally, our model shows that the δ[Fe/H]/δ[C/H] abundance difference in the host star is at least a factor of 3 larger for ice giants formed at r rCO). Future observations of wide binary star systems hosting super-Earths and ice giants could therefore help to constrain the migration pathway of these planets and thus constrain planet formation theories. (Less)
Achieving low latency in public edges by hiding workloads mutual interference

On multi-tenant platforms, such as public clouds and edges, workloads interfere with each other through shared resources. The performance degradation caused by such interference is a notoriously challenging problem. Though many solutions have been proposed for clouds, they can hardly help the application in edges, where workloads are mostly latency-critical, highly dynamic, and more sensitive to interference. Aggressive resource over-provisioning looks to be the only practical solution, albeit it causes significant resource waste. The paper proposes dynamic asymmetric scheduling for edge computing (DASEC) as a unique approach to achieve low latency in public edges and improve resource utilization. DASEC makes application performance less sensitive to the interference between workloads by making the interference affect mostly the tasks on non-critical paths and rarely the tasks on critical paths. With DASEC, the interference is largely hidden from being reflected on the end-to-end performance observed by users. The paper has investigated the techniques to implement DASEC in the task schedulers for edge workloads and tested its effectiveness in managing the interference caused by sharing CPU cores. For different types of edges that schedule tasks at different system levels, the paper implemented DASEC prototypes based on Linux/KVM vCPU scheduler, the completely fair scheduler (CFS) in Linux OS, and Google user-level scheduling framework. Extensive experiments with diverse real-world applications show that DASEC can reduce the latencies of the workloads consolidated on the same edge server by 32% ~ 52%.
Impurity-induced moments in underdoped cuprates

We examine the effect of a nonmagnetic impurity in a two-dimensional spin liquid in the spin-gap phase, employing a drone-fermion representation of spin-1/2 operators. The properties of the local moment induced in the vicinity of the impurity are investigated and an expression for the nuclear-magnetic-resonance Knight shift is derived, which we compare with experimental results. Introducing a second impurity into the spin liquid an antiferromagnetic interaction between the moments is found when the two impurities are located on different sublattices. The presence of many impurities leads to a screening of this interaction as is shown by means of a coherent-potential approximation. Further, the Kondo screening of an impurity-induced local spin by charge carriers is discussed. {copyright} {ital 1997} {ital The American Physical Society}
CORPORATE GOVERNANCE ATTRIBUTES AND FIRMS’ CAPITAL STRUCTURE: EVIDENCE FROM LISTED COMPANIES IN SRI LANKA

Determining an optimal mix of capital structure is crucial and difficult. Corporate governance will assist in reducing the agency problem and ensure firm success through strict monitoring and proper utilization of firm resources. Thus, firms will eventually have better access to debt and equity at lower cost. This study examines the impact of corporate governance attributes on capital structure of listed non-finance companies in Sri Lanka. The sample of the study consisted of a panel of 50 main board listed companies; which covers all the non-financial sectors of Colombo Stock Exchange for three-year period from 2016 to 2018. Since there is no specific research carried out on examining corporate governance attributes and capital structure on main board listed non finance firms of Sri Lanka; hence this research has made a substantial contribution to the local literature. Multiple regression analysis was employed to analyze the variables. Further this study finds a significant and negative relationship between CEO duality and capital structure. This suggests splitting the key organization roles of CEO and chairmanship will leads to employing less debt in capital structure. This research study finds except for CEO duality, other corporate governance attributes has lesser implications on the capital structure due to companies are currently following the corporate governance code and it will not create a direct background as an impact factor on financing decisions. Further the findings are assisting firms to strengthen their internal corporate governance mechanism.
Grain-scale isotope heterogeneity inherited from sediment- 2 metasomatized mantle: Geochemical and Nd-Hf-Pb-O isotopic constrains on 3 Early Cretaceous intrusions in central Lhasa Terrane, Tibetan Plateau 4

Clarifying the mechanism of recycling of pre-existing continental crustal materials into the 23 source of mantle-derived magma is a challenging effort that can be of great value to improve our understanding of mantle processes and continental crust growth. This study presents an integrated and diorites intruded in the central Lhasa Terrane of Tibetan Plateau at ca. 120 Ma (zircon U-Pb 27 ages). These intrusions have similar distributions of trace elements that are characterized by 28 depletion in Nb-Ta relative to Th, Ba and U, and moderately negative whole-rock ε Nd (t) (–5.0 to – 29 1.7) values. Magmatic zircon shows dramatically variable ε Hf (t) values (from -5.0 to +13.7 in the 30 same rock, including up to 12 epsilon unit variability in single grains). On the other hand, the 31 zircon δ 18 O values are relatively uniform (+6.0‰ to +7.7‰). The constant 208 Pb/ 206 Pb values of 32 clinopyroxene crystallized at ca. 500–900 MPa suggest no contamination with lower continental 33 crust. The lack of covariation between Hf and O isotopes from the same grains, and the lack of 34 relationship between Hf isotopes and trace elements (e.g., Hf, Th/U and Yb/Gd) in the magmatic 35 zircons, together with the absence of ancient zircon xenocrysts, implies limited upper crustal 36 contamination. In combination with high whole-rock Th/La (>0.29) ratios, we interpret the zircon 37 Hf isotope heterogeneity as inherited from a depleted asthenospheric mantle with the addition of 38 1–4 % Hf from isotopically heterogeneous sediments. Our study therefore emphasizes the need for 39 caution when using complex Hf isotopic zonation in zircon as an argument for intracrustal 40 hybridization of two end-member magmas derived from distinct reservoirs. In addition, the high 41 Zr/Y ratios and no negative Zr-Hf anomalies of the Aruo intrusions imply a high surface 42 temperature of the downgoing slab that was able to fully dissolve zircons in the subducted 43 sediments. This requires a special geodynamic condition that was most likely related to the 44 steepening of flatly subducted Neo-Tethyan lithosphere at ca. 120 Ma according to a synthesis of 45 regional tectonic-magmatic-sedimentary records. 46 Spencer 176 et al. (2020). The 176 Hf/ 177 Hf ratios of GJ-1 zircon grains during the course of this study range 177 from 0.281970 ± 16 to 0.282048 ± 20 with a mean value of 0.282009 ± 0.000016 (2σ; n = 48), 178 consistent with the reference value (0.282015 ± 0.000019, 2σ; Elhlou et al., 2006) within allowed 179 analytical errors.
Analysis of Rotating Instability in Axial Compressor Based on Dynamic Mode Decomposition

Rotating instability (RI) is an unsteady flow phenomenon occurring in axial compressors, which is usually accompanied with strong fluctuations and complex structures in the flow field. In this paper, the unsteady numerical simulation of the full-passage Rotor35 model is conducted. A complex, spatially and temporally flow structure of RI is recovered by dynamic mode decomposition (DMD) method. The results show that, DMD is capable of identifying multiple frequency peaks relating to RI, and the dominant mode numbers of circumferential pressure perturbation are 6, 7, 8 and so forth. In addition, the reconstruction results of dominant mode show that the circumferential propagation features of perturbation at different axial positions are different, due to the interaction of RI with the impeller blades. At the position away from the blade, the perturbation propagates circumferentially like a traveling wave; at the position close to the blade, however the response of the blades to perturbation is the main feature, and thus there exist more mode numbers.
Impact of Corporate Governance on Earnings Management: Evidence from Sri Lankan Listed Companies

The purpose of this study is to investigate the relationship between selected corporate governance mechanisms and the degree of earnings management of Sri Lankan listed companies. The study was carried out by using quantitative methodology and using secondary data primarily obtained through published annual reports of 175 non-financial companies listed in the Colombo Stock Exchange during 2017 to 2019. The study examined the relationship between eight selected corporate governance characteristics and level of earnings management which measured through discretionary accruals. Empirical results of the study reveal a noteworthy positive relation between frequency of audit committee meetings and earnings management. This finding is contrary to the results of most previous studies. The remaining corporate governance characteristics are not having a significant impact on the level of earnings management. This study adds some new evidence on the relationship between selected corporate governance mechanisms and the degree of earnings management of Sri Lankan listed companies as it used data of post implementation period of new Code of Best Practice of Corporate Governance 2017. Findings of the present study differ from available limited studies on the relationship between corporate governance and earnings management in Sri Lankan context as previous studies reported inconclusive relationships whereas the present study established at least one conclusive relationship between frequency of audit committee meetings and earnings management .