Miracle-dz/UniFAR-FTUs huggingface dataset:
Ambiguous practices and conflicting interests: why immigrants end up in uncertain employment

PurposeThe aim of this study is to investigate why many immigrants end up in uncertain employment.Design/methodology/approachThe paper describes a qualitative case study of three nursing homes in Oslo (Norway), which investigates immigrant employment and recruitment-related practices. Practice theory is used as the theoretical and methodological framework. The study takes an ethnographic approach and combines participant observation, semi-structured shadowing, qualitative interviews and document review.FindingsThe recruitment practice, as it is accomplished, is different from the practice that is prescribed in the formal recruitment policy. The configuration of the recruitment-related practices locks in the recruitment practice and reproduces the social order. The net effect of the recruitment-related practices is that immigrant employees remain in uncertain employment.Research limitations/implicationsA practice-theoretical approach, analyzing organizational practices as they are accomplished in space and time and not as isolated activities defined by their purpose, provides a richer understanding of the complexity and connectedness of organizational practices. Combining practice theory and institutional perspectives, the paper demonstrates how normative and regulative mediators order and align related practices. The study demonstrates the importance of examining the configuration of practices to understand how the net effect of related practices affects those who dwell in them, in this case immigrants pursuing secure and stable employment.Originality/valueThis study contributes to the field of diversity management by using practice theory to explain why measures for enhancing immigrant employment may not have the intended effect because they are interwoven in a nexus of practices with conflicting interests that (un)intentionally undermine the measures.
Kepatuhan Penggunaan Obat pada Komunitas Pasien Lanjut Usia Dengan Penyakit Kronis di Kecamatan Muntilan Jawa Tengah

Pasien lanjut usia dengan penyakit kronis yang mendapatkan terapi jangka panjang, memiliki risiko lebih tinggi untuk tidak patuh. Kepatuhan mempunyai arti penting untuk memastikan manfaat terapeutik diterima oleh pasien. Namun, kepatuhan terhadap obat selalu menjadi masalah, terutama di kalangan orang tua. Pasien lanjut usia dengan komorbiditas multipel, memiliki risiko ketidakpatuhan yang lebih tinggi karena mereka menerima lebih dari satu macam obat. Penelitian ini bertujuan untuk mengidentifikasi tingkat kepatuhan pengobatan pada pasien lanjut usia dengan penyakit kronis. Penelitian ini menggunakan desain cross-sectional observasional yang dilakukan selama bulan April - Juni 2019. Pengumpulan data dilakukan secara purposive sampling yang melibatkan 182 pasien lanjut usia suku Jawa di Kecamatan Muntilan, Jawa Tengah. Metode pill count digunakan untuk mengukur kepatuhan pasien. Pasien dengan tingkat kepatuhan rata-rata < 80 % dikategorikan sebagai tidak patuh. Hubungan antara faktor pasien lanjut usia dengan tingkat kepatuhan minum obat dianalisis menggunakan regresi sederhana. Dari hasil penelitian diperoleh tingkat kepatuhan pasien lanjut usia terhadap terapi penyakit kronis dikategorikan tidak patuh dengan rata-rata 65,53 % ± 26,86%, sementara faktor demografis dan faktor klinik lainnya dari pasien lanjut usia tidak terkait. Kesimpulan dari penelitian ini adalah kepatuhan minum obat pada pasien usia lanjut suku Jawa dikategorikan tidak patuh.
The Incidence Rate of Vancomycin-Induced Thrombocytopenia in Orthopedics: A Single-Center Retrospective Case Series

1.1. Objective: Vancomycin has been an indispensable alternative for the treatment of severe and complicated infections, especially in orthopedics department. However, as a severe adverse drug effect, vancomycin-induced thrombocytopenia (VIT) has not attracted enough attention. The objective of the research was to analyze the incidence rate of VIT in orthopedic patients. 1.2. Methods: The medical records of inpatients receiving intravenous vancomycin medication from January 2015 to December 2020 in a single center of orthopedics department were retrospectively reviewed. The gender, age,
Mean Squared Variance Portfolio: A Mixed-Integer Linear Programming Formulation

The mean-variance (MV) portfolio is typically formulated as a quadratic programming (QP) problem that linearly combines the conflicting objectives of minimizing the risk and maximizing the expected return through a risk aversion profile parameter. In this formulation, the two objectives are expressed in different units, an issue that could definitely hamper obtaining a more competitive set of portfolio weights. For example, a modification in the scale in which returns are expressed (by one or percent) in the MV portfolio, implies a modification in the solution of the problem. Motivated by this issue, a novel mean squared variance (MSV) portfolio is proposed in this paper. The associated optimization problem of the proposed strategy is very similar to the Markowitz optimization, with the exception of the portfolio mean, which is presented in squared form in our formulation. The resulting portfolio model is a non-convex QP problem, which has been reformulated as a mixed-integer linear programming (MILP) problem. The reformulation of the initial non-convex QP problem into an MILP allows for future researchers and practitioners to obtain the global solution of the problem via the use of current state-of-the-art MILP solvers. Additionally, a novel purely data-driven method for determining the optimal value of the hyper-parameter that is associated with the MV and MSV approaches is also proposed in this paper. The MSV portfolio has been empirically tested on eight portfolio time series problems with three different estimation windows (composing a total of 24 datasets), showing very competitive performance in most of the problems.
Optimization-Based Power and Energy Management System in Shipboard Microgrid: A Review

The increasing demands for reducing greenhouse emissions and improving fuel efficiency of marine transportation have presented opportunities for electric ships. Due to the complexity of multiple power resources coordination, varied propulsion loads, changeable economical, and environmental requirements, power/energy management system (PMS/EMS) becomes essential in both designing and operational processes. The existing literature on PMS/EMS can be categorized into rule-based and optimization-based approaches. Compared to the rule-based PMS/EMS, which relies heavily on human expertise, as well as predefined strategies and priorities, the optimization-based approaches can offer more efficient solutions and are more widely used nowadays. This article provides a comprehensive review of the marine optimization-based power/energy management system and discusses the future trends of PMS/EMS in ship power systems.
Text sentiment analysis based on Glove model and United Network

Traditional convolutional neural network has been proved to have good classification effect in text sentiment analysis experiments. However, CNN ignores the context dependent information of sentences, which affects the classification effect. Therefore, this paper proposes a text sentiment analysis model based on CapsuleNets and Attention mechanism. Firstly, the word vector is trained by using Glove model; secondly, the local features are extracted by using the features of double-layer capsule network; then, attention mechanism is added to assign the corresponding weight to the extracted text information; finally, we complete classification. The experimental results show that the proposed model can effectively improve the accuracy of emotion classification.
Evaluating the effects of climate change on groundwater level in the Varamin plain

In this research, a number of paired three-dimensional Atmosphere-Ocean General Circulation Models (AOGCM) from CMIP (Climate Model Inter Comparison Project) 5 group with the base period of 1989–2005 have been evaluated and the output of these models was micro-scaled and calibrated by LARS-WG software. The appropriate model was selected to simulate temperature and rainfall data under the emission scenarios of RCP (Representative Concentration Pathway) 2.6, RCP4.5 and RCP8.5 for the future period of 2020–2050, and then to model the groundwater level of the region, GMS software for both stable and transient states for one water year was calibrated and then was validated by observation data. The results in the future periods showed an increase of 1–1.5 degrees in temperature and an increase in rainfall in the early months of the year to late spring season and a decrease in rainfall in autumn season. Generally, the RCP4.5 scenario showed slightly more annual rainfall increase over the next 30 years compared to the base period than the other two scenarios. The time series investigation of the average of groundwater level shows that the implementation of RCP 2.6, RCP 4.5 and RCP 8.5 scenarios respectively leads to an average monthly increase of 4.2, 4.3 and 4.6 cm of the groundwater level.
Reciprocating propagation of premixed flame using time-variable-angle swirl vanes

The flow fields under unburned conditions were measured and the precession movement of the vortex core was clarified (Shtork et al., 2007). Numerical simulation was applied to analyze vortex breakdown, which occurred in an actual gas turbine combustor (Turrell et al., 2004). Abstract Lean premixed combustion can be expected to reduce the high-temperature area and NOx emission. However, it has a risk of flashback due to flame propagation. It can be thought to modulate the gas swirl intensity to prevent flashback and to stabilize combustion. In this research, we developed time-variable-angle swirl vanes which had 56 mm of the inner diameter, 70 mm of the outer diameter and consisted of 36 vanes, each vane was directly connected to a stepping motor, and the swirl intensity could be changed periodically by keeping the constant air ratio and flow rate. We confirmed the periodical movement of the swirl vane angle using a high-speed camera. The flame position could be made reciprocating move upstream and downstream by the periodic change of the swirl vane angle. The upstream direction flow at the tip of the flame appeared when the flame moved in the upstream direction with increasing vane angle and the downstream direction flow appeared when that moved in the downstream direction with decreasing the vane angle. When the flame propagation was changed from upstream direction to downstream, the upstream direction flow near the flame tip was weakened. In advance of changing the flame propagation from upstream direction to downstream, the axial velocity near the flame tip changed from decreasing to increasing.
Efficacy of Empagliflozin in Reducing Cardiovascular Risk and Glycemic Control in Long Standing Diabetic Patients: An Observational Study

Article history: Received 20 Febraury 2021 Accepted 03 March 2021 Revised 09 March 2021 Available online 15 March 2021 © 2021, . S Divya, Devarakonda Sivakumar, D. Likhitha, K. Sravani, S. Priya. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited A R T I C L E I N F O Diabetes mellitus is a heterogeneous complex metabolic disorder characterized by elevated blood glucose concentrations. The chronic hyperglycemia of diabetes is associated with long-term damage, dysfunction and failure of various organs. This is a leading health disorder with rising prevalence day by day with irrespective of age and gender. The diabetes patients are prone to have cardiovascular risk such as dyslipidemia, hypertension, coronary artery disease, obesity. The management of diabetes mellitus includes insulin and oral anti-diabetic agents. Among them Sodium glucose co-transporter 2 inhibitors are effective in achieving glycemic control in long-standing diabetic patients as single or add-on therapy. A large number of studies had proven that empagliflozin which belongs to the class SGLT2 inhibitors had shown potent glycemic control and reduces the cardiovascular risk in long-standing diabetic patients.
Suprasegmental Features of Indonesian Students’ English Pronunciation and the Pedagogical Implication

This minor study aims at describing learners’ features of pronunciation in terms of their suprasegmental aspects found in their speech. Students were asked to read aloud a text entitled The Gorilla Joke from the © BBC British Council 2006. Students oral narrations were then analysed in terms of their intonation pattern and stress assignment in sentence level. A metrical analysis was also used to show how students produced their speech rhythm. The result of the analysis shows that given the same text to read students may produce various combination of intonation patterns. Students also misplaced stress within the syllables or assigned no stress at all. Based on the metrical phonology analysis, learners did not assign foot timely based on the timing units in connected speeches. The speech production is more like a broken speech. Students also neglected the morphophonemics rules in which they did not produce the appropriate allomorphs [t], [d], and [id] in the past participle words. These features bring about some pedagogical implication. Keywords: student’ pronunciation features, suprasegmental aspects
Too Close to Comfort ? A New Approach of Designing a Soft Cable-driven Exoskeleton for Lifting Tasks under Ergonomic Aspects

At this point of their development, available exoskeletons for industrial applications still lack broad acceptance by users on the shop floor; this is allegedly due to discomfort and restriction of movements. Exoskeletons are in close physical interaction with the user. For everyday use at work, the kinematic chain of the human and the exoskeleton must satisfy the needs of every possible user in terms of high usability and positive user experience. Focusing on aspects like the users’ wearing comfort, reduction of interaction forces and easy setup, a new concept for an exoskeleton that supports the elbow movement during lifting tasks was developed. To avoid misalignments between the exoskeleton and the human, and to allow a full range of movement, a soft cable-driven structure was chosen. In an iterative design process, a basic structure made of a rather stiff fabric with elastic inlays was developed. The cut is meant to suit a wide range of anthropometric measures while ensuring a tight fit for good transfer of forces. Using soft materials and cables poses a challenge for calculating, simulating and measuring force distributions not only in the exoskeleton, but also in the human tissue and bones. A suitable model of the kinematic human-machine-chain and a method for testing the new concept were therefore developed. Since ergonomic design and the users’ needs were of high priority in the design process, the robustness and the maximum load capacity of the system are initially left out of this concept. This paper will present the design of the soft fabric-based structure as well as the kinematic design of the cable train and the implementation.
Picturing the future of food

High‐throughput phenotyping (HTP) has emerged as one of the most exciting and rapidly evolving spaces within plant science. The successful application of phenotyping technologies will facilitate increases in agricultural productivity. High‐throughput phenotyping research is interdisciplinary and may involve biologists, engineers, mathematicians, physicists, and computer scientists. Here we describe the need for additional interest in HTP and offer a primer for those looking to engage with the HTP community. This is a high‐level overview of HTP technologies and analysis methodologies, which highlights recent progress in applying HTP to foundational research, identification of biotic and abiotic stress, breeding and crop improvement, and commercial and production processes. We also point to the opportunities and challenges associated with incorporating HTP across food production to sustainably meet the current and future global food supply requirements.
Dynamic event-triggered distributed filtering design for interval type-2 fuzzy systems over sensor networks under deception attacks

This article investigates the event-based distributed filtering design issue for interval type-2 (IT2) fuzzy systems over sensor networks under deception attacks. In sensor networks, while each sensor receives its measurement value, it can also sense neighbouring one's measurement based on the interconnected topology, thereby estimating system states. To reduce redundant transmission, a novel distributed dynamic event-triggered mechanism (DETM) is introduced to each sensor node. In particular, the proposed DETM contains an internal dynamic variable, which is a filtered version of the trigger event signal to increase the interval between two consecutive event triggers. Then, a new distributed filter error fuzzy system is well constructed under the consideration of DETM, networked-induced delay, and random deception attacks. To relax stability conditions, slack matrices with membership functions (MFs) information are used in the stability analysis. Furthermore, based on Lyapunov–Krasovskii functional approach, membership-functions-dependent sufficient criteria are obtained to ensure the established filter error fuzzy system is mean-square stability with performance. Two examples are finally shown to demonstrate the effectiveness of the filtering method.
Non-Associative Algebra Redesigning Block Cipher with Color Image Encryption

: The substitution box (S-box) is a fundamentally important component of symmetric key cryptosystem. An S-box is a primary source of non-linearity in modern block ciphers, and it resists the linear attack. Various approaches have been adopted to construct S-boxes. S-boxes are commonly constructed over commutative and associative algebraic structures includ-ing Galois fields, unitary commutative rings and cyclic and non-cyclic finite groups. In this paper, first a non-associative ring of order 512 is obtained by using computational techniques, and then by this ring a triplet of 8 × 8 S-boxes is designed. The motivationbehind the designing of these S-boxes is to upsurge the robustness and broaden the key space due to non-associative and non-commutative behavior of the algebraic structure under consideration. A novel color image encryption application is anticipated in which initially these 3 S-boxes are being used to produce confusion in three layers of a standard RGB image. However, for the sake of diffusion 3D Arnold chaotic map is used in the proposed encryption scheme. A comparison with some of existing chaos and S-box dependent color image encryption schemes specs the performance results of the anticipated RGB image encryption and observed as approaching the standard prime level.
A New Improved Second-Order Delta-Sigma-Modulation Buck Converter With Low-Noise and Transient-Acceleration Loops

In this article, we propose a new improved fast-transient-response and low-noise high-efficiency buck converter with second-order continuous-time delta-sigma-modulation (CT-DSM) techniques. First, by utilizing the oversampling theorem and noise-shaping technique with the second-order delta-sigma modulation, the output noise within the bandwidth can be reduced effectively. Second, the adding of the transient acceleration loop not only can improve the transient recovery time when the load current changed but also lowers the undershoot and overshoot voltage. Third, a rail-to-rail operational transconductance amplifier without voltage dividers is employed in the proposed converter, which helps sensing the inductor current, moving the inductor pole to a high frequency, speeding up the transient response, and stabilizing the proposed converter modules. Finally, the proposed converter has been implemented with TSMC 0.18 μm 1P6M process and occupies an area of 1.19 × 1.19 mm2. When the load current changed from 50 to 500 mA and 500 to 50 mA, the transient recovery time was both 4 μs, which improved 8 and 16 μs than the traditional CT-DSM converter. The output voltage ripples are kept under 13 mV and the overshoot and undershoot voltage is 20 and 14 mV, respectively. The measured output-to-noise ratio is 80.7 dB, with the sampling frequency of 10 MHz. The peak efficiency is 92.1%, at the output voltage of 2.5 V and load current of 150 mA.
A Study of Relationship Between Universality in Fractal Colloids Aggregation and Time-dependent SERS

The relationship between the rule of time-dependent surface-enhanced Raman scattering (SERS) intensity of adsorbed pyridine in AgBr sol and silver bromide colloidal fractal aggregation is studied in this paper. The experimental results support the view of universality in colloidal aggregation and suggest that SERS may be a useful tool in the study of kinetics of colloidal aggregation.
Development of a Polarized Helium-3 Ion Source for RHIC

This thesis presents my work on the design and development of a source of polarized Helium-3 ions for the Relativistic Heavy Ion Collider at Brookhaven National Lab, Upton, NY. The 3He atoms will be polarized using the technique of metastabilityexchange optical pumping (MEOP), and will then be flowed into the newly commissioned Electron Beam Ion Source (EBIS). Fully stripped 3He++ ions will be extracted and their polarizations measured at low energies before acceleration in the RHIC complex. Thesis Supervisor: Professor Richard G. Milner Title: Professor of Physics, Director of Laboratory for Nuclear Science
Input associativity underlies fear memory renewal

Abstract Synaptic associativity, a feature of Hebbian plasticity wherein coactivation of two inputs onto the same neuron produces synergistic actions on postsynaptic activity, is a primary cellular correlate of associative learning. However, whether and how synaptic associativity are implemented into context-dependent relapse of extinguished memory (i.e. fear renewal) is unknown. Here, using an auditory fear conditioning paradigm in mice, we show that fear renewal is determined by the associativity between convergent inputs from the auditory cortex (ACx) and ventral hippocampus (vHPC) onto the lateral amygdala (LA) that reactivate ensembles engaged during learning. Fear renewal enhances synaptic strengths of both ACx to LA and the previously unknown vHPC to LA monosynaptic inputs. While inactivating either of the afferents abolishes fear renewal, optogenetic activation of their input associativity in the LA recapitulates fear renewal. Thus, input associativity underlies fear memory renewal.