Professional Networking and Personal Branding with Linkedin During The COVID-19 Pandemic: Personality, Impression Management, and Dirtiness in Digital Contexts

The National Center for Education Statistics in the United States reported that the undergraduate program with the most graduates in 2016 were business programs with 372,000 degrees (National Center for Education Statistics, n.d.). According to Robinson (2018), the total enrollment of undergraduate business programs globally among universities accredited by the Association to Advance Collegiate Schools of Business (AACSB) from 2012 to 2017 reported a 10% increase. The popularity of the business college degree presents a unique challenge to recent business graduates of how to differentiate from other business graduates to achieve the desired job or promotion in the new COVID-19 world; online personal branding could be the answer. According to Dill (2020), the pandemic has affected 13 million employees losing their jobs. However, Dill (2020) points out recruiters are still hiring but that recruitment processes have evolved and adapted, making it even more difficult to stand out amongst candidates vying for the same position. In this new landscape, job candidates are expected to complete all or part of the recruitment and hiring processes online. Therefore, having a strong personal brand in social platforms commonly utilized by recruiters, such as LinkedIn, is crucial for business professionals, especially those seeking employment. Furthermore, being proficient with online networking skills via digital platforms is part of developing an online personal brand (McCorkle & McCorkle, 2012). This study explores how personality impacts impression management behaviors and the desire to network online via LinkedIn. Also, how dirty (inauthentic) the participants feel when they network online is analyzed. This study uses the scale developed by Bolino and Turnley (1999) to measure the impression management behaviors of ingratiation, exemplification, and self-promotion utilized by business professionals to maintain their professional network on LinkedIn. Conducting an online survey with 389 business professionals, the authors explore the relationship between personality traits and online impression management behaviors utilized by business professionals to maintain their professional network via LinkedIn. Also, the level of dirtiness (lack of authenticity) of how the participants felt while networking via LinkedIn is studied. Participants were recruited through an academic department’s LinkedIn profile page. The results of our study provide unique and interesting insights regarding personality traits, impression management behaviors, and dirtiness for users engaging in professional networking via LinkedIn. This study contributes to the body of research in professional networking and personal branding through exploring associations between personality, impression management behaviors, and feelings of dirtiness for individuals utilizing LinkedIn

Brand Me: How LinkedIn Training Improves Personal Branding by influencing Self-esteem and Job Search Self-efficacy by generating an All-Star profile

This article considers how LinkedIn training in the form of a workshop can improve a professional\u27s personal brand by influencing self-esteem and job search efficacy by developing a LinkedIn All-Star Profile. Self-esteem and self-efficacy are two of the most highly researched social and vocational psychology aspects. While there has been some research on the impact of non-technological workshops, there needs to be more research on the effects of workshop training in these two variables on employee personal brand on social media

Lower bounds on the energy of the Bose gas

We present an overview of the approach to establish a lower bound to the ground state energy for the dilute, interacting Bose gas in a periodic box. In this paper the size of the box is larger than the Gross-Pitaevski length scale. The presentation includes both the 2 and 3 dimensional cases, and catches the second order correction, i.e. the Lee-Huang-Yang term. The calculation on a box of this length scale is the main step to calculate the energy in the thermodynamic limit. However, the periodic boundary condition simplifies many steps of the argument considerably compared to the localized problem coming from the thermodynamic case.Comment: We corrected some typos and added some reference

Generalized Euclidean Distances for Elasticity Tensors

The aim of this short paper is to provide, for elasticity tensors, generalized Euclidean distances that preserve the property of invariance by inversion. First, the elasticity law is expressed under a non-dimensional form by means of a gauge, which leads to an expression of elasticity (stiffness or compliance) tensors without units. Based on the difference between functions of the dimensionless tensors, generalized Euclidean distances are then introduced. A subclass of functions is proposed, which permits the retrieval of the classical log-Euclidean distance and the derivation of new distances, namely the arctan-Euclidean and power-Euclidean distances. Finally, these distances are applied to the determination of the closest isotropic tensor to a given elasticity tenso

Preparation and evaluation of a set of bis(methoxycarbonylmethylthio) heteroquinones as CDC25B phosphatase inhibitors

A set of new heteroquinone derivatives bearing two methoxycarbonylmethylthio groups on the benzoquinone ring were synthesized and evaluated for CDC25B phosphatase inhibitory activity. All compounds inhibited the enzyme with IC50 values in the micromolar range regardless of the size and heteroatoms constituting the heterocycle fused to the quinone ring. Moreover, these quinonoid-based compounds showed moderate antiproliferative activity toward two cancer cell lines (HeLa and MiaPaca-2). These results provide additional data for CDC25 inhibition by quinone-type derivatives and highlight the importance of substituents on the quinonic moiety

Phenotypic lentivirus screens to identify functional single domain antibodies

Manipulation of proteins is key in assessing their in vivo function. Although genetic ablation is straightforward, reversible and specific perturbation of protein function remains a challenge. Single domain antibody fragments, such as camelid-derived VHHs, can serve as inhibitors or activators of intracellular protein function, but functional testing of identified VHHs is laborious. To address this challenge, we have developed a lentiviral screening approach to identify VHHs that elicit a phenotype when expressed intracellularly. We identified 19 antiviral VHHs that protect human A549 cells from lethal infection with influenza A virus (IAV) or vesicular stomatitis virus (VSV), respectively. Both negative-sense RNA viruses are vulnerable to VHHs uniquely specific for their respective nucleoproteins. Antiviral VHHs prevented nuclear import of viral ribonucleoproteins or mRNA transcription, respectively, and may provide clues for novel antiviral reagents. In principle, the screening approach described here should be applicable to identify inhibitors of any pathogen or biological pathway. To identify the proteins essential to a biological pathway, small-molecule inhibitors or activators may be used to manipulate protein function transiently. Alternatively, screens involving mutagenesis, a reduction in levels or complete elimination of gene products are common. As applied to mammalian cells, these methods usually seek to achieve the removal of a protein from its normal biological context. Many proteins are multifunctional, or are components of multi-subunit complexes. Depletion of any single component may cause unexpected phenotypes due to the collapse of entire protein complexes. Small-molecule inhibitors often lack specificity and at best can target a fraction of all the proteins of interest. The screening of chemically diverse libraries must be paired with sophisticated methods to identify the molecular targets of any hit identified. Antibodies have been used as intracellular perturbants of protein function after microinjection or cytosolic expression of single-chain variable antibody fragments, but technical challenges have limited their application to few selected cases. In addition to conventional antibodies, the immune system of camelids generates heavy-chain-only antibodies. Their antigen binding site only consists of the variable domain of the heavy chain. This domain can be expressed on its own and is referred to as a VHH or nanobody, an entity that can retain its function in the reducing environment of the cytosol, independent of glycosylation. Many VHHs bind to their targets with affinities comparable to conventional antibodies. VHHs expressed in the cytosol can therefore act as molecular perturbants by occluding the interfaces involved in protein–protein interactions, by binding in the active sites of enzymes, or through the recognition or stabilization of distinct conformations of their targets. Both phage and yeast display, as well as mass spectrometry in combination with high-throughput sequencing, allow the identification of VHHs based on their binding properties. However, the identification of inhibitory VHHs remains a time-consuming process. VHHs obtained through biochemical screening methods must be expressed individually in the relevant cell type to test for the functional consequences of VHH expression. To address this challenge, we developed a phenotypic VHH screening method in living cells.National Institutes of Health (U.S.) (Health Pioneer Award

A homogenization-based damage model for stiffness loss in ductile metal-matrix composites(Article)

The aim of this paper is to develop a homogenized model that permits to describe the progressive loss of stiffness observed experimentally on ductile metal-matrix composites subjected to mechanical loadings. A two-step homogenization procedure is proposed to describe the effect of damage on the elastic properties. Since damage is solely driven by plastic deformation, a Gurson-type model is considered to describe the nucleation and growth of voids. Completed by appropriate evolution equations of the microstructure, this model of plasticity is used to update the elastic properties that are described by a mean-field homogenization scheme. The complete incremental model is implemented numerically and applied to the prediction of the stiffness loss. The model predictions are in very good agreement with experimental results on Al-SiC composites, cast irons and steel composites

Laser shock peening: toward the tse of pliable polid polymers for confinement

This paper presents the first extensive study of the performances of solid polymers used as confinement materials for laser shock applications such as laser shock peening (LSP) as opposed to the exclusively used water-confined regime up to now. The use of this new confinement approach allows the treatment of metal pieces needing fatigue behavior enhancement but located in areas which are sensitive to water. Accurate pressure determination in the polymer confinement regime was performed by coupling finite element simulation and experimental measurements of rear free-surface velocity using the velocity interferometer system for any reflector (VISAR). Pressure could reach 7.6 and 4.6 GPa for acrylate-based polymer and cross-linked polydimethylsiloxane (PDMS), respectively. At 7 and 4.7 GW/cm2, respectively, detrimental laser breakdown limited pressure for acrylate and PDMS. These results show that the pressures produced were also as high as in water confinement, attaining values allowing the treatment of all types of metals with LSP and laying the groundwork for future determination of the fatigue behavior exhibited by this type of treated materials

A forward genetic screen identifies modifiers of rocaglate responsiveness

Rocaglates are a class of eukaryotic translation initiation inhibitors that are being explored as chemotherapeutic agents. They function by targeting eukaryotic initiation factor (eIF) 4A, an RNA helicase critical for recruitment of the 40S ribosome (and associated factors) to mRNA templates. Rocaglates perturb eIF4A activity by imparting a gain-of-function activity to eIF4A and mediating clamping to RNA. To appreciate how rocaglates could best be enabled in the clinic, an understanding of resistance mechanisms is important, as this could inform on strategies to bypass such events as well as identify responsive tumor types. Here, we report on the results of a positive selection, ORFeome screen aimed at identifying cDNAs capable of conferring resistance to rocaglates. Two of the most potent modifiers of rocaglate response identified were the transcription factors FOXP3 and NR1I3, both of which have been implicated in ABCB1 regulation-the gene encoding P-glycoprotein (Pgp). Pgp has previously been implicated in conferring resistance to silvestrol, a naturally occurring rocaglate, and we show here that this extends to additional synthetic rocaglate derivatives. In addition, FOXP3 and NR1I3 impart a multi-drug resistant phenotype that is reversed upon inhibition of Pgp, suggesting a potential therapeutic combination strategy.R35 GM118173 - NIGMS NIH HHS; U01 TR002625 - NCATS NIH HHS; FDN-148366 - CIHRPublished versio

Thermomechanical couplings in shape memory alloy materials

In this work we address several theoretical and computational issues which are related to the thermomechanical modeling of shape memory alloy materials. More specifically, in this paper we revisit a non-isothermal version of the theory of large deformation generalized plasticity which is suitable for describing the multiple and complex mechanisms occurring in these materials during phase transformations. We also discuss the computational implementation of a generalized plasticity based constitutive model and we demonstrate the ability of the theory in simulating the basic patterns of the experimentally observed behavior by a set of representative numerical examples