Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Perceived Internal Employer Branding on Employee Retention in the Event Industry of Hainan Province

Attracting and retaining talents have become a foremost priority for organisations, especially in sectors such as the event industry where the service delivery hinges on the quality of their human resources (Fegley, 2006). The ongoing talent shortage and high talent turnover have involved into an inhibitor of the development of the event industry in Hainan province (Pang, 2017). A number of ways in which this talent shortage can be addressed can be identified in the literature. Employer branding emerges as a strategic tool to help organisations become an ‘employer of choice’ thus acting as a catalyst to attract as well as to retain talents. However, empirical studies which focus on employer branding as an employee retention tool within the event industry are rare. Therefore, the aim of this research is to explore the impacts of perceived internal employer branding on employee retention in the event industry of Hainan province. 200 questionnaires were administered to employees of 6 event companies in Hainan province. The employer branding dimensions proposed by Berthon et al. (2005) were conceptualized. Employee retention was measured using a modified version of Seashore et al.’s (1982) model. The findings show that interest value, economic value and application value each have a positive correlation with intention to stay, while social value and development value do not appear to have a significant influence on employees’ intention to stay. These findings show a similarity between the results of previous studies, albeit in different sectors. However, there are also some notable differences between the two. An interesting variance was the impact of social value on talent retention, which appears to be a factor in other studies. Future researches will be necessary to further substantiate these findings.
Study of serum levels of cefquinome in goats by using microbiological assay method

For this study, 12 goats of either sex were selected. A group of six goats was administered with cefquinome @ 2 mg/kg by intramuscular route and another group of six goats was administered with cefquinome @ 2 mg/kg by intravenous route. The serum cefquinome concentrations in adult goats were determined up to 24 hrs after drug administration by using microbiological assay method. In the present study the therapeutic concentrations of cefquinome were maintained for more than 8 hours (0.08 ± 0.011mcg/ml) after intravenous administration and intramuscular administration and at the time of 10th hr sampling the cefquinome was not detected in serum after either intramuscular or intravenous administration.
Model Predictive Torque Control for Dual Three-Phase PMSMs with Simplified Deadbeat Solution and Discrete Space-Vector Modulation

Unprecise voltage vectors applied in conventional model predictive control (MPC) would cause additional ripples in electromagnetic torque. To eliminate the problem, this article proposes an improved model predictive torque control (MPTC) based on deadbeat solution and discrete space-vector modulation (DSVM) for dual three-phase permanent magnet synchronous machines (PMSMs). First, deadbeat-direct torque and flux control (DB-DTFC) algorithm is applied and simplified, so that the computational burden can be reduced. Second, the virtual voltage vectors (VVVs) are adopted in dual three-phase voltage vector space to reduce voltage harmonics. Also, the DSVM is further proposed in this VVVs based vector space to generate more voltage vectors. After that, the simplified DB-DTFC and the DSVM scheme are artfully combined to select suitable voltage vector candidates for the MPTC, and the best one is then chosen to control the dual three-phase PMSMs. Finally, both simulation and experimental results are given to verify the effectiveness of the proposed method.
Aggregate Energy Production in Wind Farms via Dynamic Robust Coalitional Games

This letter investigates the benefits of aggregating independent wind power producers. First, we quantify the expected joint profit in the case where such producers act as a single entity in a one-stage contract interval, and in a multi-stage contract interval with recourse. Second, we provide a constructive method to design stable allocation mechanisms in the case where the expected profit is changing with time. Third, we prove that the allocation policy stabilizes the coalition by correcting allocations in real-time in the case where the realized power output deviates from the contract size of the ahead market.
Energy efficient target set selection and buffer management for D2D mobile data offloading

Data offloading offers a significant solution to the problem of explosive rise in mobile data traffic. A naive approach would be to utilize the infrastructure (cellular tower, WiFi, femtocell) or other mobile devices to offload data. However, increasing the number of a cellular towers, WiFi, or femtocells is costlier deal for data delivery. Recently, device-to-device (D2D) paradigm of data communication has emerged out as one of the most promising solutions to deal with cost effective cellular traffic offloading. D2D communication provides a direct communication link between closely located mobile users. Another significant feature of D2D is its content centric nature, which makes it useful in data offloading. In this paper, we have addressed the issue of data offloading in mobile devices and proposed a hybrid model of D2D communication with ad-hoc nature. The paper also considers the issues like memory constraints of the devices, pruning of replicated messages and energy efficiency to increase the lifetime of the battery. Considering all the constraints and trade off, we have modeled our problem into optimal target selection problem and distributed community detection problem, both of which are NP-hard. We propose a clustering algorithm to optimize the cooperative mobile nodes. The proposed algorithm uses the betweenness centrality and k-means for optimizing target set section. Our proposed algorithm requires less time in terms of computational complexity with limited space. We compare it with the community-based approach in terms of load transferred for varying target set sizes for validation. The simulation results of the suggested algorithm may reduce the energy requirements up to 16.7% and is able to accommodate 80% more traffic as compared to the community-based algorithm.
Joint Estimation of Target Parameters and System Deviations in MIMO Radar With Widely Separated Antennas on Moving Platforms

A multiple-input multiple-output (MIMO) radarwith widely separated antennas on moving platforms suffers from the effects of platform deviations on the target parameter estimation since the trajectories of the moving platforms are sensitive to environmental factors, such as strong wind. This article addresses the joint estimation of multiple target positions and velocities as well as radar system deviations to minimize the impact of platform deviations. The proposed algorithm can also be regarded as a self-calibration technique. First, the grid search dimensions for parameter estimation are reduced via a generalized maximum likelihood (GML) algorithm. Second, the adaptive gradient (AdaGrad) method is used to implement the GML estimation for multitarget echo delays and Doppler shifts. Finally, to address the nonlinear estimation problem of interest, the iterative least squares method is used to estimate the multiple target positions and velocities as well as radar system deviations based on the estimated delays and Doppler shifts. Prior information, such as target positions or the probability distribution of the echo coefficient, is not needed in the proposed method. The parameter identifiability is also derived in this article. Numerical simulations show that compared to a method without the estimation of system deviations, the proposed method is more efficient with respect to the derived Cramér–Rao bound.
Simultaneous distributed fibre temperature and strain sensor using microwave coherent detection of spontaneous Brillouin backscatter

Simultaneous optical fibre distributed strain and temperature measurements have been obtained, by measuring the spontaneous Brillouin intensity and frequency shift, using the technique of microwave heterodyne detection. The enhanced stability from using a single coherent source combined with optical preamplification results in a highly accurate sensor. Using this sensor, distributed temperature sensing at 57 km and simultaneous distributed strain and temperature sensing at 30 km were achieved, the longest reported sensing lengths to date for these measurements. As a simultaneous strain and temperature sensor, a strain resolution of 100 μe and temperature resolution of 4 C were achieved.
Pressure Solution Compaction During Creep Deformation of Tournemire Shale: Implications for Temporal Sealing in Shales

The temporal evolution of gouge compaction determines fluid transfer and rock rupture dynamics. Thus, studies on the time‐dependent creep compaction processes of shale materials may elucidate the chemo‐mechanical behavior of shallow clay‐rich zones. We investigated this problem by combining creep experiments conducted in triaxial compression under upper crustal conditions with modeled pressure solution processes in Tournemire shale. The shale samples were deformed parallel and perpendicular to the bedding at low (10 MPa, 26°C, this study) and high (80 MPa, 26°C, published by Geng et al., 2018, https://doi.org/10.1029/2018JB016169) pressures. We monitored the deformation during stepping creep experiments until sample failure. Our results differ from those of traditional creep experiments and show that the creep failure strength of Tournemire shale samples increased significantly (by ∼64%) at both pressures. Our experiments suggest that at appropriate temperatures, the pressure solution is highly active and is the dominant temporal sealing mechanism in the shale. Using our experimental data and the statistical rock physics method, we modeled the temporal reduction of effective porosity in terms of depth and temperature. Our thermal‐stress coupled modeling results suggest that the pressure solution induced sealing is the most active at middle‐shallow depths (∼3.8 km). We believe that the sealing capacity and creep failure strength of dolomite‐rich shales may change significantly at middle‐shallow depths, indicating an important influence on reservoir fluids transfer and fault gouge strength.
Metabolomic profiling, biological evaluation of Aspergillus awamori, the river Nile-derived fungus using epigenetic and OSMAC approaches

LC-HRMS-based metabolomics approach was applied to the river Nile-derived fungus Aspergillus awamori after its fermentation on four different media and using four epigenetic modifiers as elicitors. Thereafter, a comprehensive multivariate statistical analysis such as PCA, PLS-DA and OPLS-DA were employed to explain the generated metabolomic data (1587 features). PCA showed that the fungus displayed a unique chemical profile in each medium or elicitor. Additionally, PLS-DA results revealed the upregulated metabolites under each of these conditions. Results indicated that both rice and malt dextrose agar were recognized as the best media in terms of secondary metabolites diversity and showed better profiles than the four applied epigenetic modifiers, of which nicotinamide was the best secondary metabolite elicitor. Testing the antibacterial and cytotoxic effects of all A. awamori-derived extracts revealed that using epigenetic modifiers can induce antimicrobial metabolites against S. aureus and E. coli, whereas using rice, malt dextrose or nicotinamide can induce groups of cytotoxic metabolites. OPLS-DA results assisted in the putative identification of the induced metabolites that could be responsible for these observed inhibitory activities. This study highlighted how powerful the OSMAC approach in maximizing of the chemical diversity of a single organism. Furthermore, it revealed the power of metabolomics in tracing, profiling and categorizing such chemical diversity and even targeting the possible bioactive candidates which require further scaling up studies in the future.
The Root Causes of Absenteeism in Medical Students: Challenges and Strategies Ahead

Background: Learning by students is the cornerstone of the educational system, as well as the issues associated with this basic axis. One of the foundations of learning is the attendance of students in classes and attention to the instructions. Objectives: The present study aimed to discover the root causes of absenteeism among medical students at Guilan University of Medical Sciences (GUMS). Methods: This descriptive-analytical study was conducted on 127 basic science students at GUMS. Data were collected using a valid questionnaire consisting of 24 items to investigate the four components of the influential factors in absenteeism (S-CVI/Ave = 0.93; CVR ≥ 0.62; α = 91%). Data analysis was performed in SPSS version 21 using descriptive and analytical statistics at the significance level of P ≤ 0.05. Results: Among the four influential factors, professors’ performance (mean score: 18.26 ± 7.12) had the most significant effect and students' personal and family issues (mean score: 14.89 ± 6.76) had the least significant effect on absenteeism. In addition, significant correlations were observed between the status of medical sciences in the community with the variables of age, marital status, and housing occupancy status, as well as students' personal and family issues with marital status, professors' performance with the students' grade point average, and housing occupancy status and personal and family issues with professors' performance. Conclusions: Based on the results, it is recommended that educational planners and policymakers pay more attention to the factors mentioned by students as the most important causes of absenteeism, so that students would become more willing to attend educational environments and the teaching-learning process could be promoted.
The Importance of New Findings of Research on Consciousness for the Treatment of Depression in Elderly

The recent resumption of the discussion of Stuart Hameroff's and Roger Penrose's theory, which assume that theperception of qualia is realized by a quantum physics information processing in microtubules and coincidingpublication, at the same time of recent progress of the so called conscious electromagnetic information field (cemi)theory prompted the authors to the trial to integrate these theories with the earlier explanations of consciousness. Inorder to present the intuitive model of interacting components of consciousness, the authors provide short reviews ofthe 'Orch OR' and ‘cemi’ theories. This enables them to distinguish three distinct, cooperating processes underlyingthe phenomenon of consciousness, namely (a) perception, including the feeling of qualia, (b) the realization ofmental imagery and (c) the feeling of subjectivity, identity manifested by the ability to self-awareness. The ability tounderstand the essence of the self-awareness is important for health care professionals, because consciousnessdisorders are a frequent medical symptom in emergencies, anesthesia and depressive syndromes in elderly. Theauthors emphasize the usefulness of transcranial magnetic stimulation, as a method of intervention in brain'sendogenous electromagnetic field, or more precisely in its element caused by the 'default mode network'. Theyemphasize also that effectiveness of the use of mindfulness methods in the treatment of depressive syndromes alsoresults from reducing the activity of "Default Mode Network”.
Estimation of void fraction and pressure drop for two-phase flow in fine passages

The void fractions and frictional pressure drops occurring in two-phase air/liquid flows in smooth-walled, circular-section ducts with diameters from 0.74 to 3.07 mm have been measured for vertical and horizontal flows over a wide range of conditions: 0.05 1000 and it is concluded that fine passage dimensions are do not of themselves present any problems to these correlations under turbulent conditions. For Re L <1000, a modification of the Beattie correlation is recommended. Both the Lockhart-Martinelli and the more complex CISE correlations for void fraction describe the measured void fractions satisfactorily over the whole range of conditions studied
Prevalence of Bimaxillary Protrusion: A Systematic Review

Objective: This study aimed to systematically review current relevant literature on the prevalence of bimaxillary protrusion. Materials and Methods: The electronic databases PubMed, Medline, Scopus, Google Scholar and the Cochrane Library were searched using specific inclusion criteria to obtain applicable articles. References from included studies were also examined. Results: Three articles were identified that met the inclusion criteria. Prevalence of bimaxillary protrusion ranged from 3.7% to 68.8% in different populations reported in the literature examined. GRADE assessed overall confidence was deemed to be very low. Conclusion: These results show that the prevalence of bimaxillary protrusion varies greatly between races and geographic regions. The Trinidad and Tobago population has a high prevalence of bimaxillary protrusion.
The Effect of Incorporating Ginger Extract (Zingiber officinale) to Cow Milk Kefir: An Analysis of Antioxidant and Microbiological and Physicochemical Characteristics

This study aimed to analyze the antioxidant activities and microbiological and physicochemical characteristics of cow milk kefir fortified with ginger extract (Zingiber officinale). The ginger extract was incorporated together with grain before the fermentation. The levels of ginger extract concentrate were 0, 0.5, 1.0, 1.5, and 2.0 % (w/w). The ginger used in this study is a thick ginger extract that is added before the kefir fermentation process. The result showed that a higher level of ginger extract added to the fermentation could improve the antioxidant activities of the cow milk kefir. The kefir sample fortified with 2.0% ginger extract produced the highest antioxidant activities, particularly DPPH IC50 (0.32%) and a total polyphenol of 0.72%. This study found that the higher the ginger extract level, the lower the total count, total LAB, and total yeast. The average value of physicochemical characteristics for free fatty acid, lactic acids, alcohol, and pH in the present study was 0.5503 mg/KOH, 1.0005%, 1.628 g/dL, and 4.42, respectively. In conclusion, the ginger extract was effective for producing kefir with high antioxidant activities (DPPH IC50) and total polyphenol.
Metal organic frameworks as heterogeneous catalysts

1. Introduction PART A. SYNTHESIS AND CHARACTERIZATION OF MOFs 2. Synthesis of MOFs 3. Post-synthetic Modification of MOFs 4. Characterization of MOFs. 1. Combined Vibrational and Electronic Spectroscopies 5. Characterization of MOFs. 2. Long and Local Range Order Structural Determination of MOFs by Combining EXAFS and Diffraction Techniques 6. MOFs for Energy and Environmental Applications 7. Computational Approach to Chemical Reactivity of MOFs PART B. CATALYSIS BY MOFs 8. Strategies for Creating Active Sites in MOFs 9. Catalysis at the Metallic Nodes of MOFs 10. Catalysis at the Organic Ligands 11. MOFs as Nanoreactors. Species Encapsulated in the IntraMOF Space 12. Asymmetric Catalysis with Chiral MOFs 13. Photocatalysis by MOFs 14. Catalysis by Covalent Organic Frameworks (COFs) 15. Conclusions and Future Developments
Hybrid Stochastic/Robust Offering Strategy for Coordinated Wind Power and Compressed Air Energy Storage in Multielectricity Markets

Coordinated operation of renewable resources and storage devices can reduce the undesirable effects of poor predictability of renewable producers. This article proposes a three-stage hybrid robust/stochastic framework to model the coordinated operation of wind producers and compressed air energy storage in the form of a mixed-integer linear programming problem. The proposed algorithm derives robust offering curves to participate in the day-ahead market. In addition to the day-ahead market, intraday and balancing markets are considered for reducing the negative effects of poor predictability of wind speed. In the proposed hybrid framework, intraday and balancing market prices as well as wind speed are modeled by proper scenarios, while robust optimization is used to model the day-ahead price uncertainty. Besides, the risks of stochastic parameters are modeled by the conditional value at risk (CVaR). Based on the results of robust optimization, the uncertainty of the day-ahead market price reduces the aggregator profit by 21.3% in the worst case, whereas CVaR results show a 13.2% profit reduction due to the worst-case scenario realization in stochastic parameters.
The mangrove CO2 pump: Tidally driven pore‐water exchange

Atmospheric carbon dioxide (CO2) is fixed by mangrove vegetation and stored in its biomass and sediments. Part of the sediment carbon can be exported to coastal waters via tidally driven pore‐water exchange. Here, we quantify pore water‐derived dissolved CO2 export using in situ, high‐resolution observations of 222Rn and CO2 over a spring‐neap tidal cycle in a mangrove‐fringed estuary (Coffs Creek, Australia). 222Rn‐derived pore‐water exchange rates were 11.5–34.9 cm d−1 (23.0 ± 6.7) over 30 tidal cycles. Pore‐water exchange released CO2 from intertidal sediment at rates of 61–213 (136 ± 43) mmol m−2 d−1. This is equivalent to ~ 94% of the total CO2 input into the estuary and approximately two times of the water‐atmosphere CO2 emission. These observations reveal that tidal pumping is a major regulator of both mangrove pore‐water exchange and associated dissolved CO2 export to the ocean. Combining our estimates with literature data, a first‐order global pore water‐derived dissolved CO2 export from mangroves was estimated to be 83 ± 50 Tg C yr−1. This is higher than an earlier estimates of global mangrove CO2 emissions to the atmosphere (34.1 ± 5.4 Tg C yr−1) and carbon burial in sediments (18.4–34.4 Tg C yr−1), implying that pore water‐derived CO2 escapes to the atmosphere within and beyond mangrove waters. Overall, CO2‐rich pore water seems to be a widespread, important pathway of CO2 into mangrove‐dominated estuaries and should be considered in mangrove carbon assessments in the context of global climate change and blue carbon.
RGS3 Suppresses cAMP Response Element (CRE) Activity Mediated by CB2 Cannabinoid Receptor in HEK293 Cells

RGS proteins have been identified as negative regulators of G protein signalling pathways and attenuate the activity of GPCR receptors. However, information on the regulatory effects of RGS proteins in the activity of cannabinoid receptors is limited. In this study, the role of RGS proteins on the signal transduction of the CB2 cannabinoid receptor was investigated in HEK293 cells co-transfected with CB2-receptors and plasmids encoding RGS2, RGS3, RGS4 and RGS5. Treatment of cells with WIN55, 212-2, a CB2 receptor agonist, inhibited forskolin-induced cAMP response element (CRE) activity in CB2-transfected HEK293 (CB2-HEK293) cells. This inhibitory effect of WIN 55, 212-2 on CRE activity was reversed by co-transfection of CB2-HEK293 cells with RGS3, but not with RGS2, RGS4 and RGS5. However, endogenous RGS3 protein knocked down by a small interfering siRNA targeting RGS3 gene enhanced inhibition of forskolin induced CRE activity via agonist induced CB2 receptor signal transduction. These results indicate the functional role of endogenous RGS protein in cannabinoid signaling pathways and define receptor-selective roles of endogenous RGS3 in modulating CRE transcriptional responses to agonist induced CB2 receptor activity.