Miracle-dz/UniFAR-FTUs huggingface dataset:
Multifunctional Ingredient from Aqueous Flavonoidic Extract of Yellow Onion Skins with Cytocompatibility and Cell Proliferation Properties

Significant quantities of onion are cultivated annually, such that industrial processing leads to an appreciable amount of by-products, estimated at around 500,000 tons. Onion skins are considered an important source of naturally occurring antioxidant compounds, particularly flavonoid compounds. Our study follows the development of a sustainable solution in order to manage the by-products of yellow onion skins by designing ingredients with multifunctional activities. A green solvent aqueous extraction of flavonoids was applied to obtain a safe, flavonoid-enriched extract, yielding a total flavonoid content of 50.21 ± 0.09 mg quercetin equivalent (QE)/g dry weight (DW), and an antioxidant activity of 250.81 ± 6.76 mM Trolox/g DW. Complex biopolymeric matrices consisting of whey protein isolates, whey protein hydrolysates, maltodextrin, and pectin were further dissolved in the flavonoid-enriched aqueous extract, followed by freeze-drying. Two powders were obtained, both showing satisfactory phytochemical content and good stability during storage. The application of confocal microscopy revealed that the microscopic structure of the powders have a distribution of the bioactive compounds within the biopolymeric matrices. The in vitro digestion suggested remarkable stability in the gastric tract and a flavonoid-controlled release in the intestinal phase. A significant compatibility range of up to 1 mg/mL for both powders was found, whereas concentrations between 10 and 250 µg/mL stimulated cell proliferation after 24 h of cultivation. The powders showed satisfactory thermal and pH stability, which favors their addition to different food matrices.
Does Institutional Ownership Influence Earnings management? Evidence from Morocco

The purpose of this paper is to shed light on the effect of institutional ownership on earnings management practices in the Moroccan context where corporate governance standards and investors’ legal system protection are poorly implemented. Based on a sample of Moroccan listed companies from 2012 to 2017 and a fixed effect regression model, estimated with robust errors and clustered at the firm levels, our empirical results show that there is no significant relationship between institutional ownership and earnings management by discretionary accruals. However, our additional tests demonstrate a nonlinear inverted-U shaped relationship between institutional ownership and earnings management.
The impact of strategic competitive innovation on the financial performance of SMEs during COVID-19 pandemic period

Purpose The purpose of this paper is to reveal the impact of strategic competitive innovation types on the financial performance of SMEs during a very critical period: the COVID-19 pandemic. Four strategic competitive innovation types are considered in this study: marketing innovation, organizational innovation, product innovation and processes innovation. Design/methodology/approach To examine empirically the relationship between strategic competitiveness and financial performance, data were collected from a sample of 426 Lebanese SMEs belonging to seven different sectors. Findings The empirical findings of principle component analysis model (PCA) and multiple regression model (MR) reveal that the ability to innovate is essential to an SME’s survival during a crisis. The results of this study confirm the existence of a positive impact of marketing innovation and processes innovation on the financial performance of SMEs during the COVID-19 pandemic. Practical implications Moreover, results suggest that, in Lebanese SMEs, product innovation and organizational innovation do not have any impact on the financial performance during the pandemic period. Originality/value This research focused on strategic competitive innovation as a broadly considered essential condition for the survival of SMEs during the COVID-19 crises.
Breakdown characteristics of CF3I/N2/CO2 mixture in power frequency and lightning impulse voltages

Trifluoroiodomethane (CF3I) and its mixtures are believed to be prospective alternatives to sulfur hexafluoride (SF6), which has been included as a greenhouse gas. In this paper, the breakdown properties of a CF3I/N2/CO2 mixture with the volume fraction of CF3I fixed at 10% are investigated under power frequency and lightning impulse voltages. The experimental result shows that N2 possesses higher power frequency and negative lightning impulse breakdown voltages than CO2, but the power frequency and more negative lightning impulse breakdown voltages of the CF3I/N2/CO2 mixture do not increase with the content of N2. For the purpose of explaining this abnormal phenomenon, the ionization energies and excitation energies of CF3I, N2 and CO2 are calculated. The computation results indicate that the ionization energy of CF3I is lower than the first excitation energy of N2, but higher than the lowest excitation energy of CO2, which means that CF3I molecules are easily ionized by metastable N2 molecules. The first excitation energy of N2 is too high, which hinders its application as the buffer gas of CF3I.
Who responds to health, environmental, and economic information about local food? Evidence from Connecticut seafood consumers

Abstract We designed and implemented a discrete choice experiment to assess how information about the health, environmental, and economic benefits of locally produced aquaculture products affect Connecticut consumers’ willingness to pay (WTP) for products produced in the state, as compared with products from another state or another country. We find that information about local economic benefits tended to increase WTP for Connecticut-grown and -raised products, whereas information about health, safety, and the environment tended to decrease WTP for products from other regions. We also explore heterogeneous effects of the information treatments by respondent gender, education, and income.
Vpliv podnebnih sprememb na dinamiko glivnega razkroja lesa v Sloveniji

The intensity of fungal decay depends mainly on wood species, temperature and precipitation events. To estimate the planned service life of wood and to determine the maintenance intervals of wooden buildings, it is necessary to assess how wood behaves in a given environment. There are a variety of models that have been developed to assess the loading of wood. The approach most commonly used in practice is that developed by Theodore Scheffer. Scheffer proposed a climate index (Scheffer climate index) based on the number of rainy days and monthly average temperatures. Based on these data, Scheffer climate index for chosen locations in Slovenia was calculated. The results of the analysis of climatic conditions show that the Schef%fer climate index is higher than it was decades ago at most of the analysed sites in Slovenia. The intensity of decomposition increased at all analysed locations, with the exception of Portorož. The largest increase in the Scheffer climate index was ob%served in Rateče.
Solubility and water sorption of novel atraumatic restorative treatment materials: A In vitro Study

Objectives: The objective is to determine the solubility (SL) and sorption of novel atraumatic restorative treatment (ART) materials in deionized water or artificial saliva. Materials and Methods: Two compositions of newly developed ART materials were prepared. Individual compositions were prepared separately and placed in 100% humidity at ambient temperature for 24 h. Each was stored in separate vials, either 7 ml of deionized or artificial saliva at ambient temperature for 1, 7, 14, or 28 days. The sorption (S%) and SL% were then determined. Student's t-test was employed to assess the significance level of the differences observed. Results: After 1 day, the mean values for water sorption of the ART-I were 12.1% and ART-II were 16.8% in deionized water (P = 0.01). However, the mean water sorption in artificial saliva for ART-1 was 15.3% and that for ART-II was 18.5% (P = 0.05). The mean SL of ART-I and ART-II was 7.4% and 7.2%, respectively, in deionized water (P = 0.66), and in artificial saliva, it was 7.0% and 6.0%, respectively (P = 0.19). Conclusions: We conclude that water sorption potential of ART-II is more in artificial saliva and SL potential of ART-I was more in deionized water.
Facing dominant master narratives on gender and sexuality: Identity reconstruction of women in situations of inequality

The article is based on a conception of identity and self as a situated narrative construction in which memory plays a central role. To construct self-narratives, individuals internalise cultural master narratives in specific socio-cultural settings. For that reason, the analysis of self-identity needs to go beyond the individual to integrate interpersonal and socio-cultural levels, as well. Starting from this theoretical perspective, two studies of identity reconstruction of women facing situations of inequality and violence (lesbian women and women after gender-based violence) in Spain were examined. These two groups were confronted with gendered master narratives that place women in a subordinate situation. The two studies applied a similar methodology, based on the use of Bruner’s self-indicators. The analysis of the cases was focused on three issues: the dynamics of master versus alternative narratives in identity (re)construction and their relation to social reproduction and change, the need to consider the three levels of analysis (socio-cultural, interpersonal and individual) and the role of voice and silence in these processes. Finally, the involvement or memory in identity reconstruction was considered.
Use of micro-grafts in a chronic infected open wound after limb amputation in a cat

In human medicine, skin grafting is an innovative surgical technique widely used in reconstructive surgery to repair skin loss. This case evaluated the effectiveness of a treatment with dermal micro-grafting obtained through the Rigenera® technology in a chronic open wound resulting from a suture dehiscence of a limb amputation in a cat. Significant differences were observed between the aesthetic aspects of the injury using traditional treatments (cleaning and curettage) and the regenerative technology. The results showed that the healing periods were significantly reduced after the Rigenera® treatment and that, moreover, a perfect skin status and a complete reduction in the wound area (100%) were achieved in one month. Given these results, Rigenera® has proven to be a simple yet highly effective method in the treatment of inactivated chronic wounds.
Analysis of thermal energy efficiency for hollow fiber membranes in direct contact membrane distillation

Although membrane distillation (MD) has great promise for desalination of saline water sources, it is crucial to improve its thermal efficiency to reduce the operating cost. Accordingly, this study intended to examine the thermal energy efficiency of MD modules in a pilot scale system. Two different modules of hollow fiber membranes were compared in direct contact MD mode. One of them was made of polypropylene with the effective membrane area of 2.6 m and the other was made of polyvinylidene fluoride with the effective membrane area of 7.6 m. The influence of operation parameters, including the temperatures of feed and distillate, feed flow rate, and distillate flow rate on the flux, recovery, and performance ratio (PR), was investigated. Results showed that the two MD membranes showed different flux and PR values even under similar conditions. Moreover, both flow rate and temperature difference between feed and distillate significantly affect the PR values. These results suggest that the operating conditions for MD should be determined by considering the module properties.
Anomaly Detection Using Deep Neural Network for IoT Architecture

The revolutionary idea of the internet of things (IoT) architecture has gained enormous popularity over the last decade, resulting in an exponential growth in the IoT networks, connected devices, and the data processed therein. Since IoT devices generate and exchange sensitive data over the traditional internet, security has become a prime concern due to the generation of zero-day cyberattacks. A network-based intrusion detection system (NIDS) can provide the much-needed efficient security solution to the IoT network by protecting the network entry points through constant network traffic monitoring. Recent NIDS have a high false alarm rate (FAR) in detecting the anomalies, including the novel and zero-day anomalies. This paper proposes an efficient anomaly detection mechanism using mutual information (MI), considering a deep neural network (DNN) for an IoT network. A comparative analysis of different deep-learning models such as DNN, Convolutional Neural Network, Recurrent Neural Network, and its different variants, such as Gated Recurrent Unit and Long Short-term Memory is performed considering the IoT-Botnet 2020 dataset. Experimental results show the improvement of 0.57–2.6% in terms of the model’s accuracy, while at the same time reducing the FAR by 0.23–7.98% to show the effectiveness of the DNN-based NIDS model compared to the well-known deep learning models. It was also observed that using only the 16–35 best numerical features selected using MI instead of 80 features of the dataset result in almost negligible degradation in the model’s performance but helped in decreasing the overall model’s complexity. In addition, the overall accuracy of the DL-based models is further improved by almost 0.99–3.45% in terms of the detection accuracy considering only the top five categorical and numerical features.
An ion imprinted amino-functionalized mesoporous sorbent for the selective minicolumn preconcentration of cadmium ions and determination by GFAAS

An amino-functionalized mesoporous sorbent with double imprinting of Cd(II) and surfactant micelles was prepared via the sol–gel co-condensation method. The material was employed for the highly selective preconcentration of cadmium ions in minicolumns (MCs) and their determination at ultratrace levels by graphite furnace atomic adsorption spectroscopy (GFAAS). For comparative purposes ion-imprinted (II) and non-imprinted (NI) solids were characterized by SEM, FTIR and nitrogen gas adsorption–desorption. Batch experiments including pH influence, sorption capacity and adsorption kinetics were carried out in order to optimize the adsorption–elution process. II showed a greater absorption capacity than the NI sorbent being 122 mg g−1 and 67 mg g−1 respectively, consistent with the Langmuir isotherm equation. Sample and elution flow rates, volumes of the sample and eluent and the choice of the most suitable eluent were tested and optimized under MC dynamic conditions for both sorbents. Under optimized conditions, the II filling showed a preconcentration factor (PCF) of 50 whilst that of NI was 10. The higher selectivity of filler II was revealed when comparing the maximum tolerable limit (MTL) of interfering cations and anions commonly found in water samples, the MTL for II being 100 to 200 times higher than that for NI for all the tested concomitants. The main figures of merit found for solid II are: a limit of detection of 0.0011 ng mL−1 (3Sb), a linear range of 0.01–20 ng mL−1, and RSD% of 2 (n = 6; 0.05 ng mL−1). Additionally, the operation under dynamic conditions together with the employment of low volumes of the sample and eluent allowed a large lifetime of sorbent II of more than 700 cycles with no loss of sensitivity or need for refilling. The method was successfully applied to the determination of traces of Cd(II) in osmosis and tap water with recoveries of 98.8–101.3%. A full discussion will be provided, including a comparison with other methods already reported in the literature.
Mobility analysis of a robotic cardiopulmonary resuscitation device

During chest compressions action, in CPR (CPR), the 2 arms of the rescuer constitute a parallel mechanism. Inspired by this performance, during this study a specific family of lower mobility parallel manipulators by employing a modified version of Delta robot is proposed for chest compressions in rescuing a patient. One of the biggest differences between this mechanism and the Delta parallel mechanism is that the position of the three active connections of the robot relative to each other has changed the geometry of the platforms. Also, it shapes the asymmetrical structure within the robot mechanism and its workspace. Another difference is due to the architectural optimization method considering the mixed performance index, which has been used during this mechanism to achieve a much better compromise between the manipulator dexterity and its workspace. Within the present paper, after introducing the architecture of the robot, a closed-form solution is developed for the kinematic problem and therefore the results are verified using MSC. Adams©. Then Jacobian matrix is generated to gauge the singularity problem of the proposed mechanism. then, the workspace of the robot is investigated and compared with the original Delta mechanism.
Multi Stage Kalman Filter (MSKF) Based Time-Varying Sparse Channel Estimation With Fast Convergence

The paper develops novel algorithms for time-varying (TV) sparse channel estimation in Massive multiple-input, multiple-output (MMIMO) systems. This is achieved by employing a novel reduced (non-uniformly spaced tap) delay-line equalizer, which can be related to low/reduced rank filters. This low rank filter is implemented by deriving an innovative TV (Krylov-space based) Multi-Stage Kalman Filter (MSKF), employing appropriate state estimation techniques. MSKF converges very quickly, within few stages/iterations (at each symbol). This is possible because MSKF uses those signal spaces, maximally correlated with the desired signal, rather than the standard principal component (PCA) signal spaces. MSKF is also able to reduce channel tracking errors, encountered by a standard Kalman filter in a high-mobility channel. In addition, MSKF is well suited for large-scale MMIMO systems. This is unlike most existing methods, including recent Bayesian-Belief Propagation, Krylov, fast iterative re-weighted compressed sensing (RCS) and minimum rank minimization methods, which requires more and more iterations to converge, as the scale of MMIMO system increases. A Bayesian Cramer Rao lower bound (BCRLB) for noisy CS (in sparse channel) is also derived, which provides a benchamrk for the performance for novel MSKF and other CS estimators.
Corporate Strategy and the Theory of the Firm in the Digital Age

The purpose of this article is to reinvigorate research in the intersection of corporate strategy and the theory of the firm in light of the rapid advancement of digital technologies. Using the theory of the firm as an interpretive lens, we focus our analysis on the implications of the emerging digital age for three broad domains of corporate strategy: (1) corporate (competitive) advantage, (2) firm scale, scope, and boundaries, and (3) internal structure and design. Recognizing that digitalization exacerbates ambiguity and paradoxes, we sketch foundational strategies for future research. We suggest that there is a need to develop knowledge that accounts for the new realities of the digital age, depending on whether the corporate strategy phenomena under investigation and the theories of the firm used to explain them, are existing or new. The article serves also as introduction to the Journal of Management Studies Special Issue on the topic.
Application of chemical interaction between (Fe, Cr) oxides and Mo oxide at high temperature for self-healing intelligence on nuclear fuel cladding in LWRs

ABSTRACT A novel scheme for a bilayer coating with self-healing ability is proposed in this study. The candidate materials for the coatings and the potential self-healing reaction are assessed in high-temperature aqueous environments and high-temperature air. The pure Cr2O3 layer and the composite of Cr2O3 and MoO3 are the candidate materials for the outer layer and inner layer, respectively, due to their compatibility under normal condition and fabricability. Fe2O3–MoO3 reactions exhibit a potential ability to heal the cracks because of a high reaction rate under normal condition. The self-healing process proceeds via the following mechanism under normal condition: Fe2O3 (a corrosion product in the coolant) diffuses into the cracks on the coating and reacts with MoO3 (inner layer) to produce the insoluble Fe2(MoO4)3, which deposits and repairs the cracks. In the loss-of-coolant accident (LOCA) situation, Cr2O3–MoO3 reaction is expected to strengthen the adhesion of the coating.
STUDY OF HEMOGLOBIN LEVELS CATTLE FED Moringa oleifera AND PREBIOTIC FROM MARE’S MILK

Penelitian ini bertujuan untuk mengetahui perbandingan kadar hemoglobin pada sapi onggole muda yang diberi Moringa oleifera dan susu prebiotik. Penelitian ini menggunakan sembilan ekor pedet Sumba Ongole umur 5-7 bulan dengan berat badan ± 130 kg. Penelitian diawali dengan persiapan alat dan bahan yang dibutuhkan berupa persiapan kandang individu, pembuatan tepung kelor, pembuatan rumput amunisi, pembuatan konsentrat, pembuatan susu, penyiapan prebiotik, adaptasi hewan. Perlakuan pedet dibagi menjadi 3 kelompok yaitu kelompok kontrol (KK), kelompok perlakuan 1 (KP1), kelompok perlakuan 2 (KP2). Kelompok kontrol diberi makan rumput kering amonia, konsentrat, susu sedangkan kelompok perlakuan 1 diberi pakan rumput kering diamoniase, konsentrat, susu, prebiotik, dan kelompok perlakuan 2 diberi pakan rumput kering diamoniase, konsentrat, tepung kelor. Pada setiap penarikan diambil ± 3 mL darah kemudian dimasukkan ke dalam tabung Ethylenediamine Tetraacetic Acid (EDTA) dan masing-masing tabung diberi label sesuai kode sampel. Hasil penelitian menunjukkan pedet pada kelompok kontrol memiliki kisaran nilai Hb 7,7-11,8 g/dl, sedangkan kelompok yang diberi susu prebiotik memiliki kisaran nilai Hb 8,8 hingga 11,4 g/dl. Kelompok yang diberi pakan Moringa oleifera memiliki kisaran nilai Hb 8,8-14,4 g/dl. Hasil tersebut menunjukkan nilai hemoglobin dari ketiga kelompok perlakuan berada dalam kisaran normal nilai hemoglobin sapi yaitu 9,1-15,7 g/dl namun terjadi peningkatan hemoglobin pada kelompok perlakuan yang diberikan susu prebiotik dan kelor. Pakan kelor yang ditambahkan ke KP2 menghasilkan Hb yang lebih tinggi dibandingkan dengan KP1 dan KK. Nilai Hb yang lebih tinggi diduga karena kandungan protein yang tinggi pada tanaman kelor yaitu 27% sehingga dapat meningkatkan produktivitas ternak.
Faking Versus Feeling Emotions: Does Personality–Job Fit Make a Difference

Emotional labor (EL) involves regulating, managing, and sensing others’ emotions to achieve organizational goals. However, it is often considered a unitary variable, without examining the specific types of emotional labor (i.e., deep acting and surface acting). Thus, the purpose of this research is to extend the under-researched work on surface-acting and deep-acting strategies of EL on job involvement in the public sector by examining the mediating effects of personality–job fit. This research employs the 2016 Merit System Principles survey data to explore the relationship between the variables. Results show that personality–job fit has a positive mediating effect on deep-acting EL and job involvement and a negative mediating effect on surface acting and job involvement. Findings may help administrators understand and prevent the potential results of employees’ EL behavior and the importance of personality–job fit in organizational outcomes.