Miracle-dz/UniFAR-FTUs huggingface dataset:
Does LMX always promote employee voice? A dark side of migrant working in Saudi Arabia

PurposeDrawing on the self-consistency theory, this study aims to test a model where employees' supervisor-based self-esteem (SBSE) is positively related to their promotive and prohibitive voice and mediate the positive relationship between leader–member exchange social comparison (LMXSC) of an employee's promotive and prohibitive voice, but only for local rather than migrant workers.Design/methodology/approachTo test the study hypotheses, multi-source data were collected from 341 matched supervisor–supervisee dyads working in a diverse range of organizations in the Kingdom of Saudi Arabia.FindingsAs predicted, employees' SBSE is positively related to their promotive and prohibitive voice and mediates a positive relationship between their LMXSC and their promotive and prohibitive voice, but only for local workers. The study findings support the self-consistency theory perspective on LMX and provide new insight into the “dark side” of migrant working – a lack of voice.Originality/valueThis study responds to calls for more research that explores the roles played by macro-environmental factors on employees' voice. Implications for theory and practice are discussed.
Diabetic Ketoacidosis and Hyperglycemic Hyperosmolar State in Patients with COVID-19

*Corresponding author: Nasser Mikhail, MD, MSc, Endocrinology Division, Department of Medicine, Olive-View UCLA Medical Center, David-Geffen-UCLA School of Medicine CA, USA; E-mail: nmikhail@dhs.lacounty. gov Abstract Background: It is unclear whether the 2 hyperglycemic emergencies, diabetic ketoacidosis (DKA), and hyperosmolar hyperglycemic state (HHS) have different characteristics in patients with COVID-19. Objective: To describe prevalence, outcomes, and management of hyperglycemic crisis specifically in patients with COVID-19. Methods: English literature search of electronic databases supplemented by manual search up to September 7, 2020. Search terms included hyperglycemic crises, diabetic ketoacidosis, COVID-19, ARDS, dexamethasone, mortality, safety. Since no randomized trials are available, all pertinent observational studies, case reports and major organization guidelines were reviewed. Results: DKA occurs in 0.45 to 3.4% of patients with COVID-19 admitted to the hospital, and results in approximately 50% mortality rate. Excessive intravenous hydration should be avoided in patients at risk or having acute respiratory distress syndrome (ARDS) to avoid volume overload. In patients presenting with hyperglycemic crisis and COVID-19 requiring oxygen or on mechanical ventilation, dexamethasone may be given after resolution of hyperglycemic crisis. Insulin doses need to be increased by 50-100% to control dexamethasone-induced hyperglycemia. Selected patients with noncomplicated both DKA and COVID-19 may be safely managed by subcutaneous rapid-acting insulin in a step-down unit with blood glucose monitoring every 2 hours. This strategy may spare beds in the intensive care unit (ICU) and personal protective equipment (PPE), and decrease nursing time at bedside. Conclusions: Hyperglycemic crises with COVID-19 are uncommon but carry high mortality rate. Uncomplicated cases may be managed by stepdown unit. Dexamethasone can be given after resolution of hyperglycemic crisis.
Multifaceted local action for the conservation of the transboundary Prespa lakes Ramsar sites in the Balkans

We provide a short overview of the bottom-up, non-governmental organisation (NGO)-driven conservation efforts that go a long way towards implementing the Ramsar Convention on the ground in the Prespa basin in the Balkans. Encompassing two lakes, the transboundary Prespa basin is covered by three Ramsar sites. The lakes host significant endemism and internationally important breeding and wintering waterbirds. For over 30 years, the Society for the Protection of Prespa (SPP), a locally based NGO representing an international constituency, has successfully used the obligations, goals and objectives laid out by the Ramsar Convention. The SPP has led broader alliances, implementing and coordinating conservation action, initially on the Greek side and later at basin level, through an integrated ecosystem approach, multiparticipatory decision-making processes and transboundary collaboration. It has achieved substantial benefits for waterbird populations, especially pelicans, engaged in community-based resource management approaches and drawn support, mainly from international donors, to achieve progress in the wise use of the wetland. The established decision-making mechanisms in Greek Prespa, the long-term monitoring data on the wetland ecosystem and the operation of transboundary collaboration networks are also expected to contribute towards addressing ongoing challenges, such as eutrophication and adaptation to climate change.
Pore-Scale Study of the Residual Trapping of Air in a Doddington Sandstone Using In-Situ Micro-CT Imaging

Introduction Deep saline aquifers have been identified as promising sites for storing large volumes of CO2. To prevent the buoyant migration of CO2 and ensure secure subsurface storage, the injected CO2 must be immobilised and trapped in the porous media as isolated clusters (Nhunduru et al. 2020). This residual trapping activates as the plume of the injected CO2 progresses through the formation and is then entrapped due to the natural or engineered flow of water. Core-scale findings and pore-network flow models’ estimations for residual trapping in saline aquifers range from 10% to 90% of the total injected volume of CO2 (Chaudhary et al. 2013). This widely varying range of CO2 trapping potential necessitates the pore-scale observation of this phenomenon to facilitate a fundamental understanding of the controlling parameters of this trapping mechanism. X-ray computed tomography (CT) is a non-destructive and non-invasive technique for imaging and direct observation of properties and processes in a wide range of materials, including rocks (Jahanbakhsh et al. 2020). Coupling this 3D imaging method with core flooding experimentation can facilitate the visual investigation of different multiphase phenomena at the pore scale. For that purpose, we have designed and developed a unique micro-CT core flooding system, which is an excellent tool for providing valuable 3D information of flow processes at realistic subsurface conditions. The main components of this in-situ imaging flow rig are an X-ray transparent flow cell, capable of withstanding elevated pressure and temperature to provide the conditions of typical deep saline aquifers and a highresolution CT scanning device. By using this rig, we aim to study the process of residual trapping in an air/brine system within a Doddington sandstone at the atmospheric pressure and ambient temperature conditions.
Generations, migrations, and the future of fandom's private spaces

An exploration of old versus young fandom indicates that this divide is fueled by shifting norms encouraged by migration across online platforms, with changes that focus on conflicting norms around the publicness of fandom. Although fandom has become more public facing, fans are also more broadly participating in activism, forming communities for political action and media criticism, causing long-standing fans to worry that these changes could lead to a collapse between private and public spaces. However, what makes fandom important remains intact: fandom is and will continue to be a home for those pushed to the margins of media.
Novel Along‐Track Processing of GRACE Follow‐On Laser Ranging Measurements Found Abrupt Water Storage Increase and Land Subsidence During the 2021 March Australian Flooding

Following extreme drought during the 2019–2020 bushfire summer, the eastern part of Australia suffered from a week‐long intense rainfall and extensive flooding in March 2021. Understanding how much water storage changes in response to these climate extremes is critical for developing timely water management strategies. To quantify prompt water storage changes associated with the 2021 March flooding, we processed the low‐latency (1–3 days), high‐precision intersatellite laser ranging measurements from GRACE Follow‐On spacecraft and determined instantaneous gravity changes along spacecraft orbital passes. Such new data processing detected an abrupt surge of water storage approaching 60–70 trillion liters (km3 of water) over a week in the region, which concurrently caused land subsidence of ∼5 mm measured by a network of ground GPS stations. This was the highest speed of ground water recharge ever recorded in the region over the last two decades. Compared to the condition in February 2020, the amount of recharged water was similar but the recharge speed was much faster in March 2021. While these two events together replenished the region up to ∼80% of the maximum storage over the last two decades, the wet antecedent condition of soils in 2021 was distinctly different from the dry conditions in 2020 and led to generating extensive runoff and flooding in 2021.
The Effect of Exercise Compliance on Risk Reduction for Hamstring Strain Injury: A Systematic Review and Meta-Analyses

Eccentric strength training can reduce the risk of hamstring strain injury (HSI) occurrence; however, its implementation can be impacted by athlete compliance and prescription. The aim of this review was to investigate the effects of intervention compliance, consistency and modality, on the prevention of HSIs among athletes. A literature search was conducted. 868 studies were identified prior to the application of the exclusion criteria which resulted in 13 studies identified. Random effects models were used to produce log odds ratios and 95% confidence intervals. Very high (>75.1%), moderate-high (50.1–75%), low-moderate (25.1–50%) and very low (<25%) and <1-, 1.01–3.00-, >3.01-weeks/session were used as thresholds of compliance and consistency, respectively. Modality was also observed. A positive effect on HSI incidence -0.61 (−1.05 to −0.17), favoring the intervention treatments (Z = −2.70, p = 0.007). There were non-significant, large differences between compliance (p = 0.203, Z = −1.272) and consistency (p = 0.137, Z = −1.488), with increased compliance and consistency showing greater effectiveness. A significant difference between intervention modalities was observed (p < 0.001, Z = −4.136), with eccentric interventions being superiorly effective. Compliance of >50.1% and consistent application with <3 weeks/session having positive effects on HSI incidence. Training interventions that can achieve high levels of compliance, and can be consistently performed, should be the objective of future practice.
Acoustic communication

This chapter, takes a broad look at insect acoustic communication, by including near-field and far-field sound, as well as substrate vibration, as signals. These mechanical disturbances differ greatly in their physical properties—they propagate in their natural environments over distances that can span from a few millimetres up to several hundred metres. Therefore, background information is provided to understand how the insect sound-emitting systems for the different signals work and in which behavioral contexts they are used. Evidence is also provided to describe the substantial changes signals undergo on their way to receivers, the effects of background noise on communication and how unintended receivers may represent costs in this system. Finally, a short overview of the structure and evolution of the tremendous diversity of sensory receptors is presented.
An Efficient Discrete Model to Approximate the Solutions of a Nonlinear Double-Fractional Two-Component Gross–Pitaevskii-Type System

In this work, we introduce and theoretically analyze a relatively simple numerical algorithm to solve a double-fractional condensate model. The mathematical system is a generalization of the famous Gross–Pitaevskii equation, which is a model consisting of two nonlinear complex-valued diffusive differential equations. The continuous model studied in this manuscript is a multidimensional system that includes Riesz-type spatial fractional derivatives. We prove here the relevant features of the numerical algorithm, and illustrative simulations will be shown to verify the quadratic order of convergence in both the space and time variables.
A SERVICE ECOSYSTEMS PERSPECTIVE ON DECOMMISSIONING OF OFFSHORE PLATFORMS: HIGHLIGHTS BY THE ITALIAN CONTEXT

Purpose – Nowadays, the decommissioning of offshore platforms has been increasingly discussed because of its great social, economic, and environmental impact. The large number of actors involved and the complexity of regulatory framework push as well to adopt an ecosystems view able to explore the different resources, value propositions and co-creation practices arising from actors’ engagement. Methodology –This study is based on semi-structured interviews conducted with oil and gas key informant and stakeholders related to the Italian context. Findings – The results of the analysis highlight the main ecosystem’s elements at micro, meso and macro level related to the actors, resources, technologies, institutions and value propositions occurring in the Italian context of offshore platform decommissioning. Research Implications – This work shed light on the importance to adopt a sustainable perspective as a critical driver in the predisposition of a governance framework relates to the future of the offshore platforms. In this sense, the study highlights several implications for both researchers and professionals in the field of governance and in the oil and gas industry. Practical Implications – The results of the analysis underlined the great potential of a sustainable approach to the offshore platform decommissioning process. In this regard, offshore green farms, along with aquaculture and other local entrepreneurial activities, have emerged as suitable candidates for the co‐location/multiple use of these assets and as a viable economic and social stimulus. Originality – This work adopts an ecosystems view in order to re-read the Italian oil and gas industry and explore the different resources, value propositions and co-creation practices arising from actors’ engagement. The analysis reveals that understanding the participation mechanisms utilized by communities is fundamental for improving the management and success of sustainable development in the context of offshore platforms decommissioning.
The Effects of Green SCM Implementation on Business Performance in SMEs: A Longitudinal Study in Electronics Industry

The evolution of green supply chain management (GSCM) in small and medium-sized enterprises (SMEs) remains underexplored in the literature. Specifically, this study assesses the changes in the effects of GSCM implementation on employee job satisfaction, operational and relational efficiency, and business performance of SMEs that serve as suppliers to large buying firms. The present study collected survey data from 193 electronics manufacturers in South Korea twice in a seven-year time gap, evaluated the reliability and the validity of individual measures, and employed structural equation modeling (SEM) to test the model hypotheses. The results commonly found in the two studies with the time gap are (1) the positive effects of GSCM implementation on employee job satisfaction and operational and relational efficiency, (2) the positive effects of both operational and relational efficiency on business performance, and (3) the positive relationship between operational efficiency and relationship efficiency. Moreover, the positive effect of employee job satisfaction on business performance is found only in the latter study (Study II). The results suggest that GSCM implementation is a critical factor for SME suppliers to establish sustainable long-term relationships with buying firms in the electronics industry, and it also helps manufacturers improve employee job satisfaction and operational efficiency over time. The present study is believed to enhance an understanding of key factors in association with GSCM that positively influences the business performance of SME suppliers.
Drawing out classroom social climate: The use of participant-produced drawings in research on psychosocial classroom learning environment in the context of school mathematics

Over the last twenty years, visual methods in childhood research have become more mainstream across social science research. Through this paradigm shift, children became active agents in the research process. Participant-produced drawings in particular allow a constructive process of thinking in action, rather than seeing drawings as simple representations of the participants’ worldviews. In this paper, we use participant-produced drawings as a window into students’ perceptions of the mathematics classroom learning milieu from a social perspective. The goals of this report are threefold: (1) to conceptualize the complex and multifaceted construct of classroom social climate from the standpoint of primary grade students by using a qualitative research approach (i.e., participant-produced drawings), (2) to evaluate the extent to which participant-produced drawings can be used when researching the construct of classroom social climate, and (3) to provide two analytical tools that can be used in qualitative inquiry on classroom social climate in different mathematics lessons. To conclude, versatile recommendations for theory and practice are discussed regarding the employed methodology (i.e., participant-produced drawings as a visual research method) as well as some possible future directions.
Gradient Feature Based Improved Optimum Non-Negative Integer Bit Allocation for the DCT Based Image Coding

The quantization process is the most significant part of any image transform coder, which solely governs the loss characteristics during compression of the images. Hence, several quantization techniques have been developed to achieve better quantization performance for the image transform coders. The Optimum Non-negative Integer Bit Allocation (ONIBA) is one of the impotent techniques that provide optimal quantization bits based on the Variance characteristics of the transform coefficients for the best possible quantization in the image coders. However, the variance feature is not supposed to be the best indicator for all types of variations in the images. As a result, the performance of existing ONIBA techniques can be improved by the utilization of other feature that can accurately estimate the image activities. Therefore, this paper presents a new Gradient Feature-based ONIBA (GFONIBA) algorithm to achieve better quantization for the DCT based image transform coders as compared to the recent ONIBA algorithms. Extensive experiments are carried out to validate the quantization performance of the proposed GFONIBA algorithm. The results show that the proposed GFONIBA algorithm outperforms and provide a significant gain in the reconstructed image quality as compared to the recent ONIBA algorithms.
A novel top‐k key node query problem in subgraph matching and its greedy strategy

Top‐k node selection in graph data is an essential problem in computer science and applications. In view of an important issue in the field of graph data, subgraph matching issue, we define the problem and propose its method for the top‐k key node query w.r. t. the subgraph matching. Unlike the general top‐k query problem, we aim to find out k nodes that make the matching subgraphs in data graph G that are covered by the k nodes as more as possible. This is a problem of the maximum coverage of subgraph matching, which belongs to the NP‐hard problem. We study the problem based on a greedy algorithm and give an intuitive solution. Considering the characteristics of the top‐k problem, we propose an improved and more efficient greedy algorithm. Experiments on real social network graph data set (Twitter) show that the related results represent the key nodes that can better reveal the essential characteristics of the query graph in the data graph G. The key node query problem in subgraph matching proposed in this article may have extensive applications in reality, such as the assessment of the influence of specific group members in social network, the detection of abnormal communication in a computer communication network, the road traffic evaluation and load balance problem in a road traffic network, and so on.
Impact of Total Factor Productivity and Employment on Economic Growth: A Case Study of Saudi Arabia

The objective of this paper is to analyze the impact of total factor productivity and employment level on economic growth of Saudi Arabia. The data used in the analysis is a time series data covering the period 2005-2019, and a semi-log regression model was estimated. The results showed that real GDP growth is fluctuating during the study period depending on oil price level. The total factor productivity in Saudi Arabia lagged behind that of many emerging economies. The model results revealed that the total factor productivity is more important for economic growth than increasing the size of the labor force. The paper recommends policymakers seeking to foster economic growth in Saudi Arabia, to put more emphasis on improving productivity of capital inputs and labor through adoption of proper technologies, training, and research and development.
Modified particle swarm optimization based magnetic resonance imaging analysis for identification of risk factors tissue damage incidence

This study was to analyse the risk factors of unstable patella and the incidence of tissue damage (TD) with magnetic resonance imaging (MRI) image under the modified particle swarm optimization (MPSO). In this study, 45 patients with patella instability who visited hospital from 1 November 2018 to 28 September 2020 were selected as the experimental group (group E), and 45 volunteers with healthy knee joints were recruited as the control group (group C). MRI images under MPSO were to evaluate the four groups of related indicators (trochlear groove angle, trochlear groove depth, trochlear surface ratios, and Insall‐Salvati index) of unstable patella in the two groups and count the incidence of TD caused by unstable patella. Comparison of four indicators revealed that there was an obvious difference in the data of the two groups. The abnormal rate of patients with unstable patella in the group E was much higher than that of the group C, and the difference was statistical (p < 0.05). The incidences of trochlea dysplasia and high patella accounted for 88.9% and 57.8% in group E and accounted for 4.4% and 3.2% in the group C, respectively, showing statistically obvious differences (p < 0.05). The incidence of patella cartilage TD, thigh cartilage TD, lateral meniscus TD, medial meniscus TD, patella medial retinaculum TD, patella lateral retinaculum TD, patellar ligament damage, and joint effusions were 14.5%, 11.45%, 50.38%, 49.62%, 10.69%, 16.03%, 9.16%, and 79.39%, respectively in the patients with unstable patella in the group E. In short, trochlear dysplasia and high patella were risk factors for unstable patella, and unstable patella was one of the risk factors for multiple TDs of the knee joint. This study provided a new research basis for the early treatment of unstable patella.