Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning alongside and learning apart: successor nurturing styles in family business succession

Abstract Successor nurturing is vital to family business succession. However, research on successor nurturing styles remains limited. This paper aims to contribute to the literature by examining this issue. We identify two nurturing styles, namely, learning alongside and learning apart. Drawing on the knowledge-based view, we discuss the influence of the necessity of passing on various types of tacit knowledge on determining nurturing styles. Specifically, we argue that family firms in manufacturing industries and industrial products are more likely to adopt a nurturing style of learning apart, while those in service industries and consumer products are more likely to adopt learning alongside. We posit that these relationships are stronger for large firms and higher successor educational level, but weaker under a good relationship between the incumbent and successor. Using a sample of 199 Chinese family firms, we found support for the proposed relationships.
Effects Of CANDEREL® and The Ameliorative Role of Stem Cell Enhancer on Some Physiological Parameters in Male Albino Rats

Background: CANDEREL® is non-nutritive artificial sweetener, which is mainly composed of aspartame and acesulfame potassium. Materials and Methods: thirty male albino rats weighing from 100 to 120 gm. The period of the experiment was 30 days. The animals were divided into three groups; group 1: control, group 2: rats received CANDEREL® (1 tablet/25kg b.w./day) and group 3: rats received CANDEREL® (1 tablet/25kg b.w./day) + SCE (9 mg/kg b.w./day). The following parameters were measured: serum glucose, ASAT, ALAT, serum creatinine, serum urea, protein and lipid profiles and hormonal levels (insulin, testosterone, serum T3 and serum T4). Results: there were many disturbances that occurred in the previous parameters, and SCE ameliorated most of these hazardous effects. Conclusion: artificial sweeteners are not safe in use; their disadvantages are more than their advantages. So, we recommended replacing non-nutritive sweeteners with nutritive ones to be away from any hazardous effects that may result from the use of artificial sweeteners. Also, SCE made a great job in fighting the impairments that occur during the experiment.
VMGuard: A VMI-Based Security Architecture for Intrusion Detection in Cloud Environment

Cloud security is of paramount importance in the new era of computing. Advanced malware can hide their behavior on detection of the presence of a security tool at a tenant virtual machine (TVM). Hence, TVM-layer security solutions are not reliable. In this paper, we propose a Virtual Machine Introspection (VMI) based security architecture design for fine granular monitoring of the virtual machines to detect known attacks and their variants. We have developed techniques for monitoring the TVMs at the process level and system call level to detect attacks such as those based on malicious hidden processes, attacks that disable security tools in the virtual machines and attacks that alter the behavior of legitimate applications to access sensitive data. Our architecture, VMGuard, utilizes the introspection feature at the VMM-layer to analyze system call traces of programs running on TVM. VMGuard applies the software breakpoint injection technique which is OS agnostic and can be used to trap the execution of programs. Motivated by text mining approaches, VMGuard provides ‘Bag of n-grams (BonG)’ approach integrated with Term Frequency-Inverse Document Frequency (TF-IDF) method, to extract and select features of normal and attack traces. It then applies the Random Forest classifier to produce a generic behavior for different categories of intrusions of the monitored TVM. We have implemented a prototype and conducted a detailed analysis using University of New Mexico (UNM) datasets and a Windows malware dataset obtained from the University of California. The results obtained are promising and demonstrate the applicability of the VMGuard. We compare VMGuard with existing techniques and discuss its advantages.
Low Power Reliable Design using Pulsed Latch Circuits

Author(s): Elsharkasy, Wael Mahmoud | Advisor(s): Kurdahi, Fadi J; Eltawil, Ahmed M | Abstract: System-on-Chip (SoC) faced lots of challenges over the past decade. With nowadays applications centered around Internet-of-Everything (IoE), these challenges are expected to be more critical. Among these challenges are the reduction of power consumption for better energy efficiency, the overcoming of different sources of variations to ensure reliable operation and the reduction of design area to reduce the cost and increase the integration. As a result, chip designers find themselves facing lots of problems, trying to build reliable systems that integrate complex level of functionality, on a minimum die size and with a limited power budgets. Among different circuit components in every chip, memory components are of great concern. They consume the majority of the chip area and power, in addition to affecting the entire chip performance and reliability. These include large memory arrays, caches, register files and different sequential elements in the logic paths. Sequential elements play an important and critical role in modern synchronous CMOS circuits. Indeed, they can represent up to 50% of the standard cells used in a chip. In addition, the power consumption of the clock tree, including these elements can be more than half of the total chip power. In addition, they come in the second place after memory to be affected by different sources of variation. Hence, efficient implementation of these elements is of great importance for the design of energy efficient and reliable integrated circuits. Pulsed latches have been proposed as efficient replacement of flip-flops in the implementation of sequential elements. They can achieve higher performance when compared to traditional flip-flops, and can be designed to be smaller in area and more power efficient. However, the operation of pulsed latch is more sensitive to process, voltage and temperature (PVT) variations. In this thesis, we are proposing a methodology to study the reliability of pulsed latches and we have used it to evaluate the effect of PVT variations on their behavior. In addition, novel approaches to enhance the reliability of pulsed latches without significant degradation in performance, area or power are presented. Also, since sequential elements can be used to build small size register files, pulsed latch implementation of register files are discussed and compared to other traditional implementations, including SRAM and flip-flops. In addition, since multiport register files are very beneficial for quite few applications, novel implementations of multiport register files are also presented. The proposed implementation is proved to highly reduce the significant overhead in area, power and latency associated with the traditional way of designing multiport register files.
Chemical vapour deposition of graphene: layer control, the transfer process, characterisation, and related applications

ABSTRACT Graphene, one of the most promising two-dimensional (2D) nanomaterials, has gained substantial attention in several areas of materials science. Due to its unique mechanical, electrical, optical, and thermal properties, graphene-based materials have triggered both numerous fundamental studies and technological applications. Out of several synthetic methods, chemical vapour deposition (CVD) has emerged as one of the most promising methods for the production of large areas of high quality single-crystal graphene. This review introduces the fundamental growth mechanisms of CVD graphene, alongside the various parameters and substrates employed in this process. Furthermore, new developments in the CVD synthesis of monolayer and few-layer graphene are presented, as well as advanced techniques for analysing the fine structure and properties of graphene. Moreover, a detailed discussion of the transfer processes used for practical applications of CVD graphene is provided, with emphasis on their fundamental aspects. This review concludes with an outlook on presently challenging issues, prospects and applications of graphene.
Kovats Retention Index analysis of flavor and fragrance compound using Biplot Statistical method in gas chromatography systems

A lot of retention parameters have been introduced and used in chromatographic instrumentation analysis, one of which is the retention index. Retention index is a secondary parameter which in its calculation requires data retention time and dead time. This study uses data from flavor and fragrance retention indices with a variation of columns, boiling points and log Kow which aims to identify the level of similarity between compounds based on retention index using biplot statistical method. Biplot analysis is used to view object relationships based on the variables. The results showed that biplot could describe the relationship of a compound as an object and its retention index as a variable of 99.45 %. Based on the results, the compounds can be classified into three groups. The first group has a specific retention index that is lower than other groups. The second group has a high Log Kow whereas the third group is dominated by the influence of DB-Wax column compared to other columns. Columns DB-1, OV-101, and DB-5 have a positive correlation with the correlation level close to 1.00.
Oxygen radical‐driven surface modification of polycaprolactone‐filled glass microfiber media: Probing the surface chemistry of wicking microfluidic devices

Cost and complexity are key factors in designing microfluidic devices for broad application. Therefore, the development of a simple, inexpensive, and easily manufactured fabrication technique that does not require expensive chemicals or instruments is necessary. We have successfully demonstrated the use of long‐lived oxygen radicals for the fabrication of membrane‐based microfluidic devices on polycaprolactone (PCL)‐filled glass microfiber (GMF) membranes. These devices may incorporate complex multidimensional (2D and 3D) microfluidic pathways on a single PCL‐filled GMF membrane. Selective exposure to oxygen radicals generated in a homebuilt oxygen plasma exposure system was employed to pattern the flow path; radical exposure of the polymer‐filled substrate altered the physical and chemical properties of the surface, affecting wettability. To the best of our knowledge, this is the only wicking microfluidic device fabrication technology that is capable of generating both 2D and 3D microfluidic pathways in a single membrane; hence, it has many potential applications. Investigations were conducted to probe the effects of oxygen radical exposure in order to provide a more quantitative understanding of the process. These findings will help expand the utility of the selective oxygen radical exposure–driven fabrication technology.
Spectral Graph Convolutional Networks for Part-of-Speech Tagging

Part-of-Speech tagging is the process of assigning words with similar grammatical properties to a part of speech (PoS). In the English language, PoS-tagging algorithms generally reach very high accuracy. This thesis undertakes the task to test against these accuracies in PoS-tagging as a qualitative measure in classification capabilities for a recently developed neural network model, called graph convolutional network (GCN). The novelty proposed in this thesis is to translate a corpus into a graph as a direct input for the GCN. The experiments in this thesis serve as a proof of concept with room for improvements.
DIFFERENTIATION OF BOVINE AND PORCINE GELATINES USING LC-MS/MS AND CHEMOMETRICS

Objective: To differentiate porcine gelatin and bovine gelatins using specific peptide markers as determined by liquid chromatography-mass spectrometry tandem with mass spectrometry (LC-MS/MS) and classify both gelatins using retention time and m/z as variables in principal component analysis (PCA). Methods: Porcine and bovine gelatins were digested using trypsin enzyme and then subjected to LC-MS/MS analysis. The specific peptides were identified. The classification between porcine and bovine gelatins was carried out using chemometrics of PCA using retention times and mass to charge ratio (m/z) as variables. Results: PCA using singvariables retention times (tR) and m/z could successfully classify porcine gelatin and bovine gelatin based on score plots of first principle component (PC1) and second principle component (PC2). The loading plot analysis showed that variable of tR32 and m/z32 contributed for the separation of both gelatins. Conclusion: The chromatograms of LC-MS/MS combined with PCA offered reliable method for differentiation between porcine and bovine gelatins. The developed method could be extended for halal authentication of food and pharmaceutical products via detection of porcine gelatin, non-halal gelatin.
Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties

Abstract. Ocean color remote sensing is a challenging task over coastal waters due to the complex optical properties of aerosols and hydrosols. In order to conduct accurate atmospheric correction, we previously implemented a joint retrieval algorithm, hereafter referred to as the Multi-Angular Polarimetric Ocean coLor (MAPOL) algorithm, to obtain the aerosol and water-leaving signal simultaneously. The MAPOL algorithm has been validated with synthetic data generated by a vector radiative transfer model, and good retrieval performance has been demonstrated in terms of both aerosol and ocean water optical properties (Gao et al., 2018). In this work we applied the algorithm to airborne polarimetric measurements from the Research Scanning Polarimeter (RSP) over both open and coastal ocean waters acquired in two field campaigns: the Ship-Aircraft Bio-Optical Research (SABOR) in 2014 and the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) in 2015 and 2016. Two different yet related bio-optical models are designed for ocean water properties. One model aligns with traditional open ocean water bio-optical models that parameterize the ocean optical properties in terms of the concentration of chlorophyll a. The other is a generalized bio-optical model for coastal waters that includes seven free parameters to describe the absorption and scattering by phytoplankton, colored dissolved organic matter, and nonalgal particles. The retrieval errors of both aerosol optical depth and the water-leaving radiance are evaluated. Through the comparisons with ocean color data products from both in situ measurements and the Moderate Resolution Imaging Spectroradiometer (MODIS), and the aerosol product from both the High Spectral Resolution Lidar (HSRL) and the Aerosol Robotic Network (AERONET), the MAPOL algorithm demonstrates both flexibility and accuracy in retrieving aerosol and water-leaving radiance properties under various aerosol and ocean water conditions.
The Interaction Effect of Facial and Voice Attraction on Overall Perceived Attractiveness

231 COPYRIGHT 2017 BY PSI CHI, THE INTERNATIONAL HONOR SOCIETY IN PSYCHOLOGY (VOL. 22, NO. 3/ISSN 2325-7342) Attraction is the force that draws people together for the purpose of procreation, and physical attraction strongly influences mate choice (Fraccaro et al., 2010; Gallup & Frederick, 2010; O’Connor et al., 2012; Puts, Jones, & DeBruine, 2012; Saxton, Caryl, & Roberts, 2006). Evidence has suggested that attractiveness may be an underlying signal of health including how long individuals will live and their fertility (Gallup & Frederick, 2010), which indicates that perceived differences in attractiveness could serve an evolutionary advantage in identifying healthier mates. Attraction extends beyond mate selection, however, because people are able to perceive the attractiveness of others of the same sex. This helps to determine competition and the hierarchy of competing mates. It has been found that people who are considered more attractive are also believed to have more favorable personality traits (Zhao, Zhou, Shi, & Zhang, 2015; Zuckerman & Sinicropi, 2011). However, attractiveness can be indicated by features besides the physical appearance of one’s face and body; one’s voice, for example, may be an indicator of attractiveness. The association of favorable characteristics with attractiveness extends beyond physical attractiveness to perceived vocal
Mineral content of tree sap from the Subcarpathian region

but also as medicinal substance in folk medicine. Traditionally, it was used to treat various conditions, mostly anaemia and chronic fatigue. This study has been designed to establish the content of metallic elements (sodium, potassium, calcium, magnesium, zinc and copper) in sap collected from eight different species (silver birch, downy birch, hornbeam, Norway maple, boxelder maple, black walnut, black alder and white willow) and to identify which sap has mineral content which would be most beneficial for human health. We measured concentrations of calcium, magnesium, sodium, potassium and zinc on an atomic absorption spectrometer equipped with single-element, hollow cathode lamps and an air/acetylene burner. The content of copper was determined using an atomic absorption spectrometer with Zeeman correction equipped with an electrothermal atomizer and argon as inert gas. White willow sap was determined to have the highest concentrations of magnesium, zinc, calcium and potassium. Moreover, this sap contained the lowest concentration of sodium among all the tree species. The sap with the lowest detected concentration of the metallic elements originated from black alder and boxelder. In conclusion, tree sap can be a valuable source of metallic elements, namely copper, zinc and magnesium, in human diet. Tree sap tapped from white willow is the most valuable in terms of its mineral content. Moreover, the most popular sap of sliver birch has proven to be a rich source of magnesium and zinc.
Li–Ti Cation Mixing Enhanced Structural and Performance Stability of Li‐Rich Layered Oxide

Li‐rich layered metal oxides are one type of the most promising cathode materials in lithium‐ion batteries but suffer from severe voltage decay during cycling because of the continuous transition metal (TM) migration into the Li layers. A Li‐rich layered metal oxide Li1.2Ti0. 26Ni0.18Co0. 18Mn0.18O2 (LTR) is hereby designed, in which some of the Ti4+ cations are intrinsically present in the Li layers. The native Li–Ti cation mixing structure enhances the tolerance for structural distortion and inhibits the migration of the TM ions in the TMO2 slabs during (de)lithiation. Consequently, LTR exhibits a remarkable cycling stability of 97% capacity retention after 182 cycles, and the average discharge potential drops only 90 mV in 100 cycles. In‐depth studies by electron energy loss spectroscopy and aberration‐corrected scanning transmission electron microscopy demonstrate the Li–Ti mixing structure. The charge compensation mechanism is uncovered with X‐ray absorption spectroscopy and explained with the density function theory calculations. These results show the superiority of introducing transition metal ions into the Li layers in reinforcing the structural stability of the Li‐rich layered metal oxides. These findings shed light on a possible path to the development of Li‐rich materials with better potential retention and a longer lifespan.
Ideal Concentration of Advanced-Platelet Rich Fibrin (A-PRF) Conditioned Media for Human Dental Pulp Stem Cells Differentiation

Objective: To discover the ideal concentration of Advanced Platelet Rich Fibrin (A-PRF) as modification of PRF, for human Dental Pulp Stem Cells (hDPSCs) differentiation. Material and Methods: hDPSCs were devided into five experimental groups: Group I (control group) consist of hDPSCs cultured in 10% FBS, Group II consist of hDPSCs cultured in 1% A-PRF, Group III consist of hDPSCs cultured in 5% A-PRF, Group IV consist of hDPSCs cultured in 10% A-PRF and Group V consist of hDPSCs cultured in 25% A-APRF. All group have been observed for 7 and 14 days and each group had three biological replicates (triplo). Formation of the mineralized nodules was detected after 7 days by Alizarin red-based assay and Dentin Sialophosphoprotein (DSPP) expression after 7 and 14 days quantified by ELISA reader. Statistical analysis was proven with Kruskal-Wallis and post hoc Mann-Whitney test. Results: The differentiation of hDPSCs in all A-PRF groups was significantly different on day-7 (p 0.05). Significantly differences between Group II (1% A-PRF) and Group I (control), Group II (1% A-PRF) and Group III (5% A-PRF), also Group II (1% A-PRF) and Group V (25% A-PRF) was found from post hoc test analysis. Conclusion: The ideal conditioned media concentration for differentiation of human dental pulp stem cells was on 1% up to 5% A-PRF group.
White wine production effluents used for biotechnological production of xanthan

This paper examines xanthan production by Xanthomonas campestris on wastewater obtained from different white wine production process sections - crushing, pressing, clarification of must and fermentation. Wastewater was analyzed for basic nutrients content and, if required it was enriched or diluted to contain amounts suitable for xanthan biosynthesis. Biosynthesis was performed in a laboratory-scale bioreactor under identical conditions for all four studied wastewaters. In order to determine if the performed biosynthesis was successful, xanthan yield was determined gravimetrically and sugar conversion was calculated based on initial and residual HPLC values of sugar content. Obtained xanthan yield was in the range of 4.0 to 10.67 g/L while the value of sugar conversion ranged between 62.74 and 68.83 %. Different viscosities of the cultivation media at the end of the process were also compared. Due to the fact that the synthesized xanthan had both different yields and viscosities, it can be concluded that different fractions of winery wastewater yield different amounts of xanthan of different quality.
Ethnopharmacological studies of Mesembryanthemum nodiflorum

Ethnopharmacological surveys conducted in Morocco allowed us to identify many plants species, the most prescribed and used in traditional medicine to treat cancer. From these species, we chose to study Mesembryanthemum nodiflorum. We prepa-ed various extracts (alkaloid, cyclohexane, dichloromethane and methanolic) of the Mesembryanthemum nodiflorum aerial parts, the phytochemical studies revealed that the plant contains sterols, sapogenines, triterpenes, tannins and alkaloids. The chemical analysis of cyclohexane extract results in the identification of known con-stituents and the alkaloid extract has been studied by different chromatographic methods to isolate many fractions and to study their chemical composition. These investigations revealed the presence of hordenin. Cytotoxic activities were screened by an in vitro assay system of growth inhibition against two human cancer cell line, namely breast cancer cell line (MCF7) and cervix adenocarcinoma (HeLa), and the results demonstrated that all various extract of Mesembryanthmum nodiflrum did not show significant cytotoxic activity on MCF and Hela cells, at concentrations ranging from 31.25 to 1000 μg/ml. The antioxidant activity of various extracts of M. nodiflo-rum was evaluated by DPPH test and showed that all extract exhibited higher radical scavenging activity, as to standard used, Trolox. The dichlorometh-ane extract of Mesembryanthemum nodiflorum present an anti-radical activity esti-mated to 94.39 ±0.51% (p<0.001). These results suggest that the products of Mese-mbryantemum nodiflorum may provide a new therapeutic avene.