Profile Of Candidates Research Articles

Political Contestation of Hindu Legislative Candidates in the 2019 Election in Nusa Tenggara Barat

This study aims to describe the motivation and winning strategies of Hindu legislative candidates in political participation, especially in the province of Nusa Tenggara Barat (NTB). This study is conducted under a qualitative approach whereby the data are collected using observation, documentation, and semi-structured interviews. The Miles and Huberman models are used in the data analysis including data collection, data reduction, data display, and data conclusion. The results of the study suggested that the participation of Hindu candidates in NTB in the 2019 election contestation has various motivations such as physiological, security, belongingness and love, appreciation, and self-actualization needs. Also, the winning strategy for both incumbent and newcomer groups is carried out almost the same, namely by conducting socialization using media posters, billboards, banners, stickers, and also social media to promote the profile of candidates. Apart from that, a personal approach is also done by directly come to the community and talk to them personally to win their hearts

SIGecom job market candidate profiles 2021

This is the sixth annual collection of profiles of the junior faculty job market candidates of the SIGecom community. The twenty four candidates for 2021 are listed alphabetically and indexed by research areas that define the interests of the community. The candidates can be contacted individually or via the moderated mailing list ecom-candidates2021@acm.org.

Sudden cardiac death following liver transplantation: Incidence, trends and risk predictors

BackgroundCardiovascular events are a leading cause of mortality following liver transplantation (LT). Although a preponderance of sudden cardiac death (SCD) in this population has been reported, there is a paucity of data evaluating the incidence, timing and predictors of SCD following LT. MethodsUsing the prospectively collected Australian and New Zealand Liver Transplant Registry, a cohort study of all adult LTs from 1985 to 2017 was performed to ascertain the incidence and predictors of SCD. Recipient cause of death was adjudicated by an interdisciplinary panel. Results4265 LT patients were followed-up for 37,409 person-years. SCD was the leading mode of cardiovascular death with an incidence rate of 165 per 100,000 person-years. There was a significant increase in the hazard of SCD in the contemporary (1996–2017) vs early era (1985–1995) (hazard ratio [HR] 2.42, 95%CI 1.10–5.40; p = 0.02). On Cox regression after adjusting for significant univariate predictors including age, coronary artery disease and non-alcoholic steatohepatitis, pre-transplant diabetes was the only independent predictor of SCD (HR 2.5 95%CI 1.1–6.0). ConclusionSCD is the leading mode of cardiovascular cause-specific mortality following LT and diabetes was associated with a two-fold higher risk for its occurrence. Given the escalating cardiovascular risk factor profile of LT candidates, targeted therapies especially in patients with diabetes are needed to mitigate risk of post-transplant SCD.

The Orthopaedic Match: Defining the Academic Profile of Successful Candidates.

Research productivity forms a vital part of the resident selection process and can markedly affect the chance of a successful match. Current reports regarding the publication record among prospective orthopaedic surgery residents are likely inaccurate. Potential applicants have a poor understanding of the strength of their research credentials in comparison to other candidates. We identified matched applicants from the 2013 to 2017 orthopaedic surgery residency application cycles. We performed a bibliometric analysis of these residents using Scopus, PubMed, and Google Scholar to identify published articles and calculate the h-index of each applicant at the time of application. Details were collected on medical school, advanced degrees, publication type, first authorship, and article relatedness to orthopaedic surgery. We included 3,199 matched orthopaedic surgery applicants. At the time of application, the median h-index was 0, the median number of publications was 1, and 40% of successful candidates did not hold any publications. The h-index (R 0.08, P < 0.0001) and median number of publications of matched orthopaedic surgery residency candidates significantly increased (R 0.09, P < 0.0001) across application cycles. Furthermore, the proportion of matched applicants without publications at the time of application significantly decreased (R -0.90, P = 0.0350). Conversely, the percentage of articles first-authored by applicants decreased (R -0.96, P = 0.0093), but article relatedness to orthopaedic surgery remained constant (R 0.82, P = 0.0905). Strikingly, notable changes were observed in the type of articles published by successful applicants: the proportion of preclinical studies decreased (R -0.07, P = 0.0041), whereas clinical research articles increased (R 0.07, P = 0.0024). The publication count held by successful orthopaedic surgery applicants is substantially lower than the nationally reported average. Matched orthopaedic surgery candidates demonstrate increasingly impressive research achievements each application cycle. However, increased academic productivity comes at the cost of reduced project responsibility and a shift toward faster-to-publish articles.

Development of Scalable Routes to 1-Bicyclo[1.1.1]pentylpyrazoles

The application of bicyclo[1.1.1]pentanes (BCPs) as phenyl bioisosteres has garnered significant attention, as these structural motifs can improve the physiochemical profiles of drug candidates. De...

(Gender) balancing the books: how did Irish political parties respond to the first ‘gender quota’ election in 2016?

ABSTRACT This study examines how Ireland’s political parties responded to the implementation of legislative gender quotas for the first time at the 2016 Dáil election. Using a dataset that includes biographical and electoral information on all candidates for the 2007, 2011 and 2016 general elections, we assess whether the profile of candidates nominated in 2016 differed from previous elections. Although many parties ‘balanced the books’ by nominating fewer inexperienced male candidates, the evidence suggests that some parties engaged in ‘sacrificial lamb’ strategies when it came to the selection of women candidates. In 2016, women non-incumbents nominated by Fine Gael were significantly less experienced and less able to raise funds than in previous elections. In addition, women non-incumbents nominated by both Fine Gael and Labour in 2016 were significantly more likely to run non-competitive races even after controlling for party, experience, funding support and other factors. The paper concludes that political parties are not homogenous and respond differently to gender quotas depending on the available political opportunity structure (POS). In 2016, this POS was shaped by electoral context, party resources, male incumbency and resistance to gender quotas.

Large-Scale Proteomics Identifies Distinct Signatures for Richter Syndrome and De Novo Diffuse Large B-Cell Lymphoma: A French Study from the Filo Group

Large-Scale Proteomics Identifies Distinct Signatures for Richter Syndrome and De Novo Diffuse Large B-Cell Lymphoma: A French Study from the Filo Group

Development of In Vitro Corneal Models: Opportunity for Pharmacological Testing.

The human eye is a specialized organ with a complex anatomy and physiology, because it is characterized by different cell types with specific physiological functions. Given the complexity of the eye, ocular tissues are finely organized and orchestrated. In the last few years, many in vitro models have been developed in order to meet the 3Rs principle (Replacement, Reduction and Refinement) for eye toxicity testing. This procedure is highly necessary to ensure that the risks associated with ophthalmic products meet appropriate safety criteria. In vitro preclinical testing is now a well-established practice of significant importance for evaluating the efficacy and safety of cosmetic, pharmaceutical, and nutraceutical products. Along with in vitro testing, also computational procedures, herein described, for evaluating the pharmacological profile of potential ocular drug candidates including their toxicity, are in rapid expansion. In this review, the ocular cell types and functionality are described, providing an overview about the scientific challenge for the development of three-dimensional (3D) in vitro models.

Morphometry as a probe of the evolution of jellyfish galaxies: evidence of broadening in the surface brightness profiles of ram-pressure stripping candidates in the multicluster system A901/A902

ABSTRACT We explore the morphometric properties of a group of 73 ram-pressure stripping candidates in the A901/A902 multicluster system, at z∼ 0.165, to characterize the morphologies and structural evolution of jellyfish galaxies. By employing a quantitative measurement of morphometric indicators with the algorithm morfometryka on Hubble Space Telescope (F606W) images of the galaxies, we present a novel morphology-based method for determining trail vectors. We study the surface brightness profiles and curvature of the candidates and compare the results obtained with two analysis packages, morfometryka and iraf/ellipse on retrieving information of the irregular structures present in the galaxies. Our morphometric analysis shows that the ram-pressure stripping candidates have peculiar concave regions in their surface brightness profiles. Therefore, these profiles are less concentrated (lower Sérsic indices) than other star-forming galaxies that do not show morphological features of ram-pressure stripping. In combination with morphometric trail vectors, this feature could both help identify galaxies undergoing ram-pressure stripping and reveal spatial variations in the star formation rate.

Trimodal therapy in T2-4aN0M0 bladder cancer--How to select the best candidate?

The reported results of trimodal treatment (TMT) in muscle‐invasive bladder cancer vary widely. We attempted to characterize the profile of ideal candidates for this approach. Between 2000 and 2019, 105 patients (median age 78 years) with T2‐4aN0M0 bladder cancer were treated with TMT and analyzed retrospectively. Mean radiotherapy dose was 62 Gy (SD 8.4). Ten pretreatment prognostic parameters were evaluated including tumor diameter on pre‐TURBT CT. Multivariate analyses was performed and combination of parameters was studied. After a median follow‐up of 29 months, 53 patients (50.5%) developed recurrence and 70 patients (67.7%) died. Death was disease‐specific in 46 patients (65.7%). Tumor diameter was the most significant prognostic parameter with p < 0.0001 for overall, disease‐specific and recurrence‐free survivals. For every 1 cm increase in tumor diameter, the risk of disease‐specific mortality increased by 1.57. Age, cisplatin eligibility and the Charlson Comorbidity Index were significant predictors of overall survival but not of disease‐specific or recurrence‐free survival. Patients who were cisplatin‐eligible with a tumor diameter ≤3 cm had a 5‐year disease‐specific survival rate of 79.2% as opposed to 33.9% in patients without one of these features (p < 0.001). When tumor diameter exceeded 5 cm (irrelevant of all other parameters), 5‐year disease‐specific survival rate was only 28.2%. Patient profiles can accurately predict response to TMT. In cisplatin‐eligible patients with a tumor diameter ≤3 cm, TMT provides an excellent disease‐specific survival rate. In patients with a tumor diameter >5 cm TMT renders unacceptably poor treatment outcomes.

Intracellular Binding/Unbinding Kinetics of Approved Drugs to Carbonic Anhydrase II Observed by in-Cell NMR.

Candidate drugs rationally designed in vitro often fail due to low efficacy in vivo caused by low tissue availability or because of unwanted side effects. To overcome the limitations of in vitro rational drug design, the binding of candidate drugs to their target needs to be evaluated in the cellular context. Here, we applied in-cell NMR to investigate the binding of a set of approved drugs to the isoform II of carbonic anhydrase (CA) in living human cells. Some compounds were originally developed toward other targets and were later found to inhibit CAs. We observed strikingly different dose- and time-dependent binding, wherein some drugs exhibited a more complex behavior than others. Specifically, some compounds were shown to gradually unbind from intracellular CA II, even in the presence of free compound in the external medium, therefore preventing the quantitative formation of a stable protein–ligand complex. Such observations could be correlated to the known off-target binding activity of these compounds, suggesting that this approach could provide information on the pharmacokinetic profiles of lead candidates at the early stages of multitarget drug design.

Political Scientists: A Profile of Congressional Candidates with STEM Backgrounds

ABSTRACTCandidates with STEM backgrounds ran for Congress in record numbers in 2018. Understanding who participates in this form of “mobilized science,” and whether they are successful, is important because these candidates may campaign—and ultimately take action—to advance science-informed policies. However, whereas there is ample journalistic coverage of individual candidates, few scholars have studied them collectively. I constructed a novel dataset that allowed me to descriptively profile almost 200 STEM candidates who ran in 2018 and to explore correlates of their electoral success. I find that three quarters of the candidates were first-time congressional candidates, most of whom were Democrats and men. Democratic incumbents and candidates endorsed by the 314 PAC were significantly more likely to advance to the general election. I also find that women Democrats with STEM backgrounds are as likely (and perhaps more likely) to advance to the general election. I conclude by discussing how these findings advance the study of mobilized science in an increasingly partisan era.

Design and development of a chimeric vaccine candidate against zoonotic hepatitis E and foot-and-mouth disease

BackgroundZoonotic hepatitis E virus (HEV) infection emerged as a serious threat in the industrialized countries. The aim of this study is exploring a new approach for the control of zoonotic HEV in its main host (swine) through the design and development of an economically interesting chimeric vaccine against HEV and against a devastating swine infection: the foot-and-mouth disease virus (FMDV) infection.ResultsFirst, we adopted a computational approach for rational and effective screening of the different HEV-FMDV chimeric proteins. Next, we further expressed and purified the selected chimeric immunogens in Escherichia coli (E. coli) using molecular cloning techniques. Finally, we assessed the antigenicity and immunogenicity profiles of the chimeric vaccine candidates. Following this methodology, we designed and successfully produced an HEV-FMDV chimeric vaccine candidate (Seq 8-P222) that was highly over-expressed in E. coli as a soluble protein and could self-assemble into virus-like particles. Moreover, the vaccine candidate was thermo-stable and exhibited optimal antigenicity and immunogenicity properties.ConclusionThis study provides new insights into the vaccine development technology by using bioinformatics for the selection of the best candidates from larger sets prior to experimentation. It also presents the first HEV-FMDV chimeric protein produced in E. coli as a promising chimeric vaccine candidate that could participate in reducing the transmission of zoonotic HEV to humans while preventing the highly contagious foot-and-mouth disease in swine.

Women and the Italian general election of 2018: selection, constraints and resources in the definition of candidate profiles

ABSTRACT Based on public databases hosted by the Ministry of the Interior and drawing on data collected by the OpenPolis Foundation on parliamentarians, the study analyses the socio-demographic and political profiles of female candidates for the Senate and the Chamber of Deputies in the single- and multi-member constituencies after adoption of the ‘Rosato Law’ and the introduction of ‘gender quotas’. The new rules enhance the presence of women in politics, but candidate selection and candidates’ positions in constituencies also depend on the regulatory frameworks of individual political parties and on informal rules and practices in the secret garden of politics. For this reason, the research takes into account the parties’ internal rules (as revealed by statutes, regulations and other documents) but also the concrete processes to which the selected women were subject. These refer to their social and political profiles, including their political allegiances and previous political careers in local government and Parliament; their statuses as newcomers or incumbents; the types of constituency for which they are chosen. For outgoing MPs only, the study also takes into account other indicators such as level of productivity, ‘changing political colours’ and rebel votes. The study throws light, on the one hand, on the way in which electoral mechanisms explain the under representation of women in Parliament, on the other hand, on the determinants of women’s political careers in individual parties.

Improving chemistry teacher candidates’ mental models in the kinetics course using SiMaYang type II learning

This study aims to investigate the profile of chemistry teacher candidates’ mental models in the kinetics course and improve it using SiMayang Type II learning. The subject of this study was a class of chemistry education students at UIN Walisongo Semarang who had taken kinetics course. Sample was carried out using convenience sampling technique. This study used a descriptive design and pre-experimental one group pretest-posttest design. The results of investigation showed that before being given treatment using SiMayang Type II learning, mental models of students were dominated by initial mental models with a percentage of 55.53% while the rest were synthetic one. After being treated, it was found that there were reduction in the number of initial mental models by 18.03% and synthetic mental model by 4.47%. Meanwhile the scientific mental model increased by 22.50%. The results of statistical tests showed that the learning of SiMayang Type II is effective in improving students’ mental models of chemistry teacher candidates. Learning outcomes have increased with the moderate category based on the N-gain test.

Defining the Ideal Patient with Hepatocellular Carcinoma for Second-Line Treatment.

Background Second line of treatment of hepatocellular carcinoma (HCC) has notably changed in recent years as three novel drugs with a different mechanism of action have demonstrated to improve survival compared to placebo; thus, there is a need to better define the profile of optimal candidates to second-line treatment with these drugs in order to maximize clinical benefit. Materials and Methods We performed a pooled analysis from the subgroup analysis of all published phase III trials for approved targeted therapy in the second line of treatment for HCC, with the aim to discover possible clinical-pathological predictive factors. Results Four studies were included in the analysis for a total of 2137 cases whose results supported the use of these novel agents in male patients with ECOG: 0, extrahepatic metastases, and HBV infection. Conclusions Future studies are awaited to define best candidates for novel agents approved in the second line of treatment for HCC.

Investigation of teacher candidates’ 21st century learner skills via PAMS

In this study we aim to examine the latent profiles of teacher candidates’ 21st century learner skills. In other words, we intend to discover the profiles of participant groups who hang together in terms of 21st century learner skill scores. The data are gathered from students who enrolled in either undergraduate programs in the school of education or pedagogical formation certificate programs. For data collection purposes, we used the 21 st century learner skills usage inventory. In order to achieve our goal, profile analysis via multidimensional scaling approach is employed. Data analysis resulted in two-dimensional solution indicating two major profile patterns. Students whose observed patterns are similar to the first major profile tend to have lower ability in cognitive processing and coding of information and realization of the products. They tend to have higher abilities in self-management, self-control, designing more flexible learning environment, and adaptation of new technology. These students are expected to be better at collaboration-based activities. Students whose observed patterns are similar to the second major profile are expected to be good at self-management, self-control and they are expected to have higher self- and collaborative-learning abilities.

Benefits and Use of Blockchain Technology to Human Resources Management: A Critical Review

Globalization brings advantages to worldwide awareness and cross-border technology dissemination in two respects to enable nations to readily access foreign expertise and enhance international competition from the increase of emerging market companies, as well as innovation and the introduction of foreign innovations (Aslam et al., 2018). Human Resources (HR) nowadays generally faces various difficulties in the world internet era and spends a lot of time connecting, screening, and verifying the resume of applicants, conducting credentials verifications, and checking backgrounds to reduce the likelihood of poor recruitment. For example, recruiters connect the profile of candidates from different channels such as direct application, recruitment agency, and social media; and hiring resume verifications is therefore a bottleneck. Hong Kong's telecommunications industry is totally privately-owned and faces no restriction on foreign investment, and it is also open for competition. Use of blockchain in the twenty-first for the period from 2004 to 2014, an instance of international expertise and technology will increase innovation ability and labour productivity development. Experts say that obtaining verification of credentials using blockchain can reduce costs and delays, increase confidence and increase hiring automation (Han, 2017). Background checks on shortlisted candidates / applicants’ lies are used to find increasing numbers of companies on their profiles to get job opportunities (Wood et al., 2007 cited in Brody, Richard G, 2010).

Italian Society of Arterial Hypertension (SIIA) Position Paper on the Role of Renal Denervation in the Management of the Difficult-to-Treat Hypertensive Patient.

Renal denervation is a device-based procedure for hypertension for which safety and efficacy has been demonstrated. At present, its clinical use is still matter of debate, despite the most recent clinical trials have shown promising results with new-generation devices in various hypertensive populations. This position paper was deemed necessary by the Italian Society of Arterial Hypertension, in order to provide indications about the applications of renal denervation in the clinical setting. A state-of-the art review of the literature, focusing on safety and efficacy data, is provided. Furthermore, based on current evidence and expert consensus, clinical profiles of possible candidates for renal denervation are proposed. The selection process should take into account not only blood pressure values, global cardiovascular risk profile, but also drug adherence and tolerability and patient preferences. This position paper also defines minimum requirements for renal denervation selection centers and a flowchart for the difficult-to-treat hypertensive patient. Further studies are needed to support these preliminary indications, which are based on expert-consensus only.

Metabolomics driven analysis of obesity-linked colorectal cancer patients via GC-MS and chemometrics: A pilot study

Colorectal cancer (CRC) is a major public health concern and one of the main causes of cancer-related deaths worldwide. Of different risk factors for developing CRC, obesity plays a vital key role in colorectal carcinogenesis due to the perturbation in the metabolic and lipid profiles of obese candidates. The aim of this study is to decipher the disturbed metabolites associated with CRC susceptibility in at-risk obese population along with their altered metabolic pathways via gas chromatography-mass spectrometry (GC-MS) metabolomics based approach. Multivariate chemometric methods including PCA and OPLS-DA in addition to different statistical tests were employed to detect the trends and determine the differential metabolites among the studied groups on a molecular level. The developed models unravelled the higher expression of novel metabolites in the sera of obese CRC patients belonging to fatty acids, organic acids and amino acids. Moreover, analysis of the associated metabolic pathways revealed the dysregulation of fatty acid metabolism, lactate and amino acid metabolism in obese CRC patients compared to their lean CRC and healthy control counterparts. This pilot study provides a useful insight regarding the mechanistic changes in metabolites related to CRC pathogenesis in obese patients in addition to the diagnostic performance of such metabolites as non-invasive screening option in obese CRC candidates.