Selection Of Candidates Research Articles

Advancing Organizational Effectiveness Through Strategic Workforce Planning and Technology Integration

Abstract: This comprehensive examination delves into the pivotal roles of strategic workforce planning and technological advancements in bolstering organizational effectiveness. Spanning various critical dimensions such as human resource demand forecasting, strategic recruitment and selection, employee training and development, diversity and inclusivity, and the integration of technology in HR practices, the paper articulates a multi-faceted approach to optimizing workforce capabilities. By leveraging predictive analytics, organizations can forecast future employment needs, while AI-enhanced recruitment processes streamline candidate selection, ensuring alignment with organizational goals. The deployment of advanced training methodologies, coupled with a focus on creating a diverse and inclusive work environment, not only enriches organizational culture but also drives innovation and improves overall performance. The paper further explores the strategic use of HR analytics, AI in recruitment, and digital platforms in employee development and engagement, highlighting their significance in adapting to the evolving work landscape. Through an in-depth analysis, it becomes evident that the integration of strategic HR planning and cutting-edge technologies is not merely an option but a necessity for organizations aiming to thrive in the competitive global market.

Personality profiles of 263 occupations.

While personality trait assessments are widely used in candidate selection, coaching, and occupational counseling, little published research has systematically compared occupations in personality traits. Using a comprehensive personality assessment, we mapped 263 occupations in self-reported Big Five domains and various personality nuances in a sample of 68,540 individuals and cross-validated the findings in informant ratings of 19,989 individuals. Controlling for age and gender, occupations accounted for 2%-7% of Big Five variance in both self-reports and informant reports. Most occupations' average Big Five levels were intuitive, replicated across rating methods, and were consistent with those previously obtained with a brief assessment in a different sociocultural context. Often, they also tracked the Occupational Information Network database's work style ratings and clustered along the International Standard Classification of Occupation's hierarchical framework. Finally, occupations with higher average levels of the personality domains typically linked to better job performance tended to be more homogeneous in these domains, suggesting that jobs with higher performing incumbents are often more selective for personality traits. Several personality nuances had intuitive occupational differences that were larger than those of the Big Five domains (explaining up to 12% variance) and replicated well across rating methods, providing more detailed insights into how job incumbents vary in personality. We provide an interactive application for exploring the results (https://apps.psych.ut.ee/JobProfiles/) and discuss the findings' theoretical and practical implications. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Nomogram Predictive Model for Vaginal Birth after One Prior Cesarean Section: A Retrospective Study

Background: Repeat cesareans pose significant maternal risks, whereas vaginal birth after cesarean (VBAC) offers better outcomes, with a complication rate of 2.4% compared with 3.6% for elective repeat cesareans and 14.1% for failed trial of labor after cesarean (TOLAC). TOLAC rates are low in China, and success rates vary between 60% and 80%. This study aims to develop a nomogram-based predictive model for VBAC in China and improve existing, less rigorous scoring models. Methods: This retrospective cohort study was conducted at Hangzhou Women's Hospital from February 2015 to March 2020, and included 159 parturient attempts at labor after one prior low transverse cesarean section. The participants were divided into two groups based on their mode of delivery for comparison: the VBAC and the TOLAC failure group. Univariate and multivariate logistic regression analyses were conducted to identify independent predictors for VBAC and develop a nomogram predictive model to estimate the success rate of TOLAC. The bootstrap method was used for internal validation of the models. Three different VBAC prediction models were evaluated by plotting receiver operating characteristic (ROC) curves, calibration curves, and decision curves. Results: A total of 127 women had VBAC and 32 women failed TOLAC, with a success rate of 79.9%. Three independent factors affecting the VBAC were identified: gestational age at delivery, Bishop score and newborn birth weight. A predictive nomogram model for the VBAC was constructed that incorporates these three factors. The model showed a good fit (χ2 = 11.94, p = 0.154) with an overall prediction accuracy of 81.1%. The area under the ROC curve was 0.83 (95% CI (confidence interval), 0.76–0.90) (p < 0.001) and the optimal cut-off value was 83.4%. The bootstrap internal validation showed that our predictive model maintained high overall accuracy and specificity, but exhibited low sensitivity and a low Kappa coefficient. Compared to the Grobman model and Jiaming Rao et al. model, our developed prediction model possesses the strongest discriminatory ability and the highest net benefit, followed by the model by Jiaming Rao et al. All three models demonstrate a high degree of fit. Conclusions: Shorter gestational age at delivery, lower newborn birth weight and higher cervical Bishop score are favorable factors for VBAC. The predictive nomogram model for the VBAC after a single cesarean section, constructed with these three factors, has good predictive efficacy. The model is simple to calculate and has practical value in the clinical selection of suitable candidates for TOLAC after a single cesarean section.

Liver Transplantation for the Cure of Neuroendocrine Liver Metastasis: A Systematic Review with Particular Attention to the Risk Factors of Death and Recurrence

Background/Objectives: Neuroendocrine neoplasms (NEN) are heterogeneous entities. Despite considerable advancement in the field, almost 50% of patients have metastatic disease, when liver transplantation (LT) is one of the possible treatments offering a cure in well-selected patients. Methods: The present study aims to systematically review all the literature from 2000 onwards on using LT for patients with NEN-LM, with particular attention to the risk factors of death and recurrence. Results: LT offers 5-year OS ranging from 52 to 74% and 5-year TFS rates ranging from 39 to 62%, with even better results published from 2009 onwards. The main risk factors for patient deaths are related to unfavorable primary tumor pathology, higher liver involvement, and simultaneous LT and primary resection. Similarly, recurrence is higher related to poor tumor grade and differentiation, and in the case of an older recipient age. Conclusions: Applying uniform criteria and a more in-depth understanding of the relevant prognostic factors contribute to a better selection of candidates for curative LT due to NEN metastases. LT for unresectable or liver-restricted NENs has a relevant place in the treatment algorithm and has achieved excellent results in recent decades, but more international efforts are needed to further improve outcomes.

Hot node limitations and impact of taxonomic resolution on phylogenetic divergence patterns: A case study on Ecuadorian ethnomedicinal flora

SummarySocietal Impact StatementNovel phylogenetic approaches have emerged in recent years to study traditional medicinal plants, aiming to identify potential sources of new drugs. This line of research holds considerable promise yet remains in its early stages. Here, we examine the prevalent methods employed in the field, revealing the impact of methodological choices that have often been made arbitrarily. We also highlight a widespread misconception regarding ‘hot node analysis’, a tool gaining popularity for identifying plants with high bioactive potential. Our findings should advance future research aimed at guiding the selection of promising candidates for bioprospection.Summary Advances in phylogenetics offer a ground‐breaking approach to analysing ethnobotanical data. This line of research typically involves calculating the degree of phylogenetic clustering (i.e. phylogenetic divergence) of a set of medicinal plants and identifying clades with a significant overabundance of these plants, known as hot nodes, which are purportedly responsible for the clustering patterns. However, despite showing great promise, the adequacy of this procedure remains to be tested, and the results have so far been inconclusive and, at times, contradictory. Here, we examine two key elements through a case study of Ecuadorian medicinal flora: the impact of taxonomic resolution (species‐ and genus‐level data) on phylogenetic divergence metrics (Mean Pairwise Distance; MPD, and Mean Nearest Taxon Distance; MNTD), and the efficacy of the hot node analysis in identifying clades that significantly influence these metrics. To identify clades with a significant impact on MPD and MNTD, we implemented a jackknifing procedure and compared outcomes with the hot nodes. Phylogenetic divergence was strongly dependent on the taxonomic resolution, with clustering mainly revealed by MPD at the genus level. Further, the hot nodes incompletely matched those with significant influence on MPD and MNTD according to the jackknifing analysis. We highlight the impact of taxonomic resolution on commonly used phylogenetic divergence metrics and the limitations of hot nodes in identifying influential clades, stressing the potential of alternative jackknifing techniques. We recommend the use of the most resolved tree possible and combining jackknifing with hot node analyses as complementary sources to pinpoint clades for bioprospection.

Insights into trait-association of selection signatures and adaptive eQTL in indigenous African cattle

BackgroundAfrican cattle represent a unique resource of genetic diversity in response to adaptation to numerous environmental challenges. Characterising the genetic landscape of indigenous African cattle and identifying genomic regions and genes of functional importance can contribute to targeted breeding and tackle the loss of genetic diversity. However, pinpointing the adaptive variant and determining underlying functional mechanisms of adaptation remains challenging.ResultsIn this study, we use selection signatures from whole-genome sequence data of eight indigenous African cattle breeds in combination with gene expression and quantitative trait loci (QTL) databases to characterise genomic targets of artificial selection and environmental adaptation and to identify the underlying functional candidate genes. In general, the trait-association analyses of selection signatures suggest the innate and adaptive immune system and production traits as important selection targets. For example, a large genomic region, with selection signatures identified for all breeds except N’Dama, was located on BTA27, including multiple defensin DEFB coding-genes. Out of 22 analysed tissues, genes under putative selection were significantly enriched for those overexpressed in adipose tissue, blood, lung, testis and uterus. Our results further suggest that cis-eQTL are themselves selection targets; for most tissues, we found a positive correlation between allele frequency differences and cis-eQTL effect size, suggesting that positive selection acts directly on regulatory variants.ConclusionsBy combining selection signatures with information on gene expression and QTL, we were able to reveal compelling candidate selection targets that did not stand out from selection signature results alone (e.g. GIMAP8 for tick resistance and NDUFS3 for heat adaptation). Insights from this study will help to inform breeding and maintain diversity of locally adapted, and hence important, breeds.

Descriptive Representation and Reproductive Health Outcomes: The Role of Women Candidates in Reducing Teen Birth Rates.

Teen birth rates remain a pressing public health issue in the United States, with significant long-term health risks for both mothers and children. Previous research has primarily focused on the impact of women in elected office on reproductive health outcomes, but less is known about the influence of women candidates. This study explores the relationship between the number of women candidates in county-level elections and county-level teen birth rates, highlighting the role of women candidates as visible role models and agents of potential policy change. We utilized a dataset covering county-level elections from 2010 to 2020, along with teen birth rate data from the CDC. We employed a multilevel model to analyze the relationship between the cumulative number of women candidates and teen birth rates, controlling for socioeconomic and health-related factors, such as insurance coverage and social vulnerability. The findings indicate that as the number of women candidates increased, the estimated county-level teen birth rate declined. This effect was observed across different election years, with more substantial impacts in midterm and presidential elections. The analysis also confirmed that socioeconomic conditions, such as a lack of health insurance, contribute to higher teen birth rates. Women candidates, even when not elected, serve as important role models and influence reproductive health outcomes in their communities. Increasing the number of women candidates at the local level may be an effective strategy for reducing teen birth rates and improving public health outcomes.

Phosphatidylethanol testing and return to alcohol use after liver transplantation: Implications for candidate selection and care.

Phosphatidylethanol testing and return to alcohol use after liver transplantation: Implications for candidate selection and care.

Muscle Mass and Glucagon-Like Peptide-1 Receptor Agonists: Adaptive or Maladaptive Response to Weight Loss?

Recent studies have shown that pharmacologic weight loss with glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and combination therapies is approaching magnitudes achieved with surgery. However, as more weight loss is achieved, there is concern for potential adverse effects on muscle quantity, composition, and function. This primer aims to address whether muscle-related changes associated with weight loss treatments such as GLP-1 RAs may be maladaptive (ie, adversely affecting muscle health or function), adaptive (ie, a physiologic response to weight loss maintaining or minimally affecting muscle health or function), or perhaps an enhanced response to weight loss (ie, improved muscle health or function after treatment). Based on contemporary evidence with the addition of studies using magnetic resonance imaging, skeletal muscle changes with GLP-1 RA treatments appear to be adaptive: changes in muscle volume z-score indicate a change in muscle volume that is commensurate with what is expected given aging, disease status, and weight loss achieved, and the improvement in insulin sensitivity and muscle fat infiltration likely contributes to an adaptive process with improved muscle quality, lowering the probability for loss in strength and function. Nevertheless, factors such as older age and prefrailty may influence the selection of appropriate candidates for these therapies because of risk for sarcopenia. Several pharmacologic treatments to maintain or improve muscle mass designed in combination with GLP-1-based therapies are under development. For future development of GLP-1-based therapies (and other therapies) designed for weight loss, as well as for patient-centered treatment optimization, the introduction of more objective and comprehensive ways of assessing muscle health (including accurate and meaningful assessments of muscle quantity, composition, function, mobility, and strength) is important for the substantial numbers of patients who will likely be taking these medications well into the future.

Isolation and characterization of mung bean (Vigna radiata L.) rhizobia in Myanmar

AbstractWe collected soil samples from six major mung bean cropping regions in Myanmar: Sagaing, Mandalay, Nay Pyi Taw, and Magway in the tropical savanna climate zone and Bago and Yangon in the tropical monsoon climate zone. All fields grew mung bean for at least 5 years and had no history of rhizobial inoculation. Mung bean ‘Yezin-11’, a popular cultivar in Myanmar, was inoculated with soil suspensions. From the nodules formed on the roots, we isolated 55 rhizobial strains. Identification of the isolates revealed the dominant species of indigenous rhizobia in each region. We identified 53 Bradyrhizobium strains and 2 Ensifer strains. Bradyrhizobium yuanmingense was dominant in the tropical savanna zone and Bradyrhizobium sp. (B. liaoningense or B. diversitatis) and B. centrosematis were dominant in the tropical monsoon zone. Principal component analysis indicates that the dominance of B. yuanmingense in the tropical savanna zone might be due to high concentration of NO3-N and P2O5 in the soil. It also indicates that the dominance of B. centrosematis in the tropical monsoon zone might be caused by drastically low pH and high concentration of NH4 in the soil. Bradyrhizobium centrosematis YGN-M9, B. yuanmingense SGG-M3, and Bradyrhizobium sp. BGO-M5 significantly increased nodulation (nodule number and nodule dry weight), acetylene reduction activity, and shoot dry weight, respectively, relative to Ensifer terangae MDY-M6. Co-inoculation with these three strains increased nodulation significantly compared with single inoculation of BGO-M5. The characterization of mung bean rhizobia and selection of microbial inoculant candidates will be useful for the development of microbial inoculants in Myanmar.

The presence of a ghost infarct core is associated with fast core growth in acute ischemic stroke.

The overestimation of ischemic core volume by CT perfusion (CTP) is a critical concern in the selection of candidates for reperfusion therapy. This phenomenon is termed a ghost infarct core (GIC). Core growth rate (CGR) is an indicator of ischemic severity. We aimed to elucidate the association between GIC and CGR. Consecutive patients with acute ischemic stroke who underwent mechanical thrombectomy in our institute from March 2017 to July 2022 were enrolled. The initial ischemic core volume (IICV) was measured by pretreatment CTP, and the final infarct volume (FIV) was measured by diffusion-weighted imaging. A GIC was defined by IICV minus FIV > 10 ml. The CGR was calculated by dividing the IICV by the time from onset to CTP. Univariable analysis and a multivariable logistic regression model were used to evaluate the association between GIC-positive and CGR. Of all 91 patients, 21 (23.1%) were GIC-positive. The GIC-positive group had higher CGR (14.2 [2.6-46.7] vs 4.8 [1.6-17.1] ml/h, p = 0.02) and complete recanalization (n = 15 (71.4%) vs 29 (41.4%), p = 0.02) compared to the GIC-negative group. On receiver-operating characteristic curve analysis, the optimal cutoff point of CGR to predict GIC-positive was 22 ml/h (sensitivity, 0.48; specificity, 0.85; AUC, 0.67). Multivariable logistic regression analysis showed that CGR ⩾ 22 ml/h (OR 6.44, 95% CI [1.59-26.10], p = 0.01) and complete recanalization (OR 3.72, 95% CI [1.14-12.08], p = 0.02) were independent predictors of GIC-positive. A GIC was associated with fast CGR in acute ischemic stroke. Overestimation of the initial ischemic core may be determined by core growth speed.

Integrating Molecular Dynamics and Machine Learning Algorithms to Predict the Functional Profile of Kinase Ligands.

The modulation of protein function via designed small molecules is providing new opportunities in chemical biology and medicinal chemistry. While drugs have traditionally been developed to block enzymatic activities through active site occupation, a growing number of strategies now aim to control protein functions in an allosteric fashion, allowing for the tuning of a target's activation or deactivation via the modulation of the populations of conformational ensembles that underlie its function. In the context of the discovery of new active leads, it would be very useful to generate hypotheses for the functional impact of new ligands. Since the discovery and design of allosteric modulators (inhibitors/activators) is still a challenging and often serendipitous target, the development of a rapid and robust approach to predict the functional profile of a new ligand would significantly speed up candidate selection. Herein, we present different machine learning (ML) classifiers to distinguish between potential orthosteric and allosteric binders. Our approach integrates information on the chemical fingerprints of the ligands with descriptors that recapitulate ligand effects on protein functional motions. The latter are derived from molecular dynamics (MD) simulations of the target protein in complex with orthosteric or allosteric ligands. In this framework, we train and test different ML architectures, which are initially probed on the classification of orthosteric versus allosteric ligands for cyclin-dependent kinases (CDKs). The results demonstrate that different ML methods can successfully partition allosteric versus orthosteric effectors (although to different degrees). Next, we further test the models with FDA-approved CDK drugs, not included in the original dataset, as well as ligands that target other kinases, to test the range of applicability of these models outside of the domain on which they were developed. Overall, the results show that enriching the training dataset with chemical physics-based information on the protein-ligand dynamic cross-talk can significantly expand the reach and applicability of approaches for the prediction and classification of the mode of action of small molecules.

Drug Repurposing for Effective Alzheimer's Disease Medicines: Existing Methods and Novel Pharmacoepidemiological Approaches.

Drug repurposing is a methodology used to identify new clinical indications for existing drugs developed for other indications and has been successfully applied in the treatment of numerous conditions. Alzheimer's disease (AD) may be particularly well-suited to the application of drug repurposing methods given the absence of effective therapies and abundance of multi-omic data that has been generated in AD patients recently that may facilitate discovery of candidate AD drugs. A recent focus of drug repurposing has been in the application of pharmacoepidemiologic approaches to drug evaluation. Here, real-world clinical datasets with large numbers of patients are leveraged to establish observational efficacy of candidate drugs for further evaluation in disease models and clinical trials. In this review, we provide a selected overview of methods for drug repurposing, including signature matching, network analysis, molecular docking, phenotypic screening, semantic network, and pharmacoepidemiological analyses. Numerous methods have also been applied specifically to AD with the aim of nominating novel drug candidates for evaluation. These approaches, however, are prone to numerous limitations and potential biases that we have sought to address in the Drug Repurposing for Effective Alzheimer's Medicines (DREAM) study, a multi-step framework for selection and validation of potential drug candidates that has demonstrated the promise of STAT3 inhibitors and re-evaluated evidence for other drug candidates, such as phosphodiesterase inhibitors. Taken together, drug repurposing holds significant promise for development of novel AD therapeutics, particularly as the pace of data generation and development of analytical methods continue to accelerate.

Candidates nomination strategy in a mixed electoral system: Evidence from the 2022 Italian general election

Abstract Despite the significant attention that scientific literature has dedicated to candidate selection mechanisms, relatively few studies have delved into which characteristics influence candidate positioning on the list. Social scientists have primarily focussed on factors shaping a candidate’s career rather than those affecting their placement on the list. Placement is a crucial factor in mixed or proportionally representative electoral systems with closed-list structures. Through a multivariate statistical analysis applied to an original dataset on candidates from major parties, this article aims to fill this gap in the literature by analysing candidates in the list during the 2022 Italian political elections. The results suggest that factors such as incumbency, previous national career, and the level of local rootedness favour placement on the list in positions where the chance of election seems more realistic. Conversely, gender favours placement in positions where the chances of election are less realistic. Additionally, dual candidacy in both the proportional and majoritarian parts also appear to have a positive effect; however, its interaction effects with other variables are less clear.

Kepastian Hukum Syarat Mantan Narapidana Calon Anggota DPD Pasca Putusan Mahkamah Konstitusi Nomor 12/PUU-XXI/2023

General Election Contestation (Election) is one indicator of the implementation of the ideals of a democratic country. A democratic state certainly cannot be separated from the ideal of the rule of law, because in fact the state of law and democracy go together. This is because a state administration must be based on applicable law, and the law is implemented as much as possible for the community. In order to support the implementation of the rule of law in accordance with the wishes of the people, the concept of democracy is a concept that is no less important. In the context of statehood, it is appropriate for the voice of the people to be represented by representatives of the people in parliament, both central and regional. The people's representatives are elected through elections by stating the conditions that must be met. However, the conditions listed seem inconsistent and there are even aggrieved parties so that they do not show legal certainty. The purpose of this study is to see aspects of legal certainty regarding the requirements for ex-prisoner who want to run in election contestations, especially the selection of individual candidates for DPD members. The method used in this research is juridical-normative legal research or commonly called doctrinal legal research with statute approach and conceptual approach. The results showed that the requirements for ex-prisoner who wanted to run in the election contestation had changed several times as a result of material tests in the Constitutional Court. The change in requirements is the result of an inconsistent change in attitude by the Constitutional Court towards the existence of ex-prisoner requirements when they want to run in election contestations, including the selection of individual candidates for DPD members.

Selecting and ranking female candidates under PR: Evidence from a two‐stage conjoint experiment with party elites

AbstractDoes gender affect candidate selection and list placement under proportional representation (PR)? Existing research argues that PR systems have a positive effect on women's representation due to a more inclusive candidate selection process. However, analysing the actual process of candidate selection under PR before observing the final party list is challenging, and little is known about the preferences and strategies of party elites when selecting and ranking candidates. To address this lacuna, we conduct a novel two‐stage conjoint experiment with party elites in Austria, which allows us to differentiate between two distinct mechanisms in candidate nomination under PR: selection and ranking. Our findings indicate that women generally have an advantage with respect to selection but find themselves subject to same‐sex preferences when it comes to ranking on the list, for which they otherwise benefit from being low in supply. These findings have important implications for understanding patterns of female under‐representation in PR systems.

Explaining Party Switching in an Institutionalised Party System: The Case of South Africa

Institutionalised party systems are said to foster stronger party allegiances and fewer switches. However, this expectation is called into question when we observe the case of South Africa. Despite being characterised by a highly institutionalised dominant party system as well as party-centred electoral and candidate selection rules, South Africa has experienced frequent episodes of floor-crossing over time. This article advances an analytical framework that links elites’ vote-seeking and office-seeking incentives to party switching and party system functioning. It posits that as elites strive for (re)selection and (re-)election, they will depart from smaller to larger parties, and this ultimately reinforces the party system of the day. Utilising an original dataset of 5,230 candidates to the National Assembly and the provincial legislatures of South Africa between 1999 and 2019, the study charts the overall rate of party switching and tests hypotheses postulating the effect of party size and candidates’ electoral marginality on the likelihood of switching parties. The analyses reveal that candidates from smaller parties and those who failed to be (re-)elected by the narrowest margin are more likely to switch parties in the next election. Additionally, most candidates who switched parties tended to move to parties that fared better than their original party in the next election; and they switched from parties that either did worse or stayed the same. But we did not find a strong correlation linking party performance to switches. The study highlights the role of intra-party competition in patterns of elite migration and reveals the importance of linking elite behaviour to party system functioning.

Regeneration of Moses' Leadership Based on the Book of Numbers 27:15-23 for GKJW Ministers in the Three Sub-districts of Pacet, Gondang and Dlanggu Mojokerto East Java

The existence of a leader is important in an organization because a leader is a person who can show the way to step, guide, direct the way of members both before and after the business is completed. Numbers 27: 15-23 is a process that should be used as a reference in preparing, selecting, assigning and submitting leaders in the service of God. Numbers 27: 15-17 clearly describes the preparation, selection, appointment and submission of leaders who could head the Israelites to go out and enter the Promised Land. In this case Moses asked God to appoint a leader over God's people, the Israelites, saying: “Let the Lord, The God of the spirit of all creation, appoint over this people a person (verse 16). Regeneration in the leadership of Moses is something very important. Before this regeneration process was carried out, God had first prepared the prospective leader of the Israelites, Joshua. Relation in preparing the servant of God GKJW in three districts Pacet, Gondang and Dlanggu Mojokerto which are considered less important and only focus on Bible study but now there has begun a process of regeneration through the direction of catechization candidates involved in the ministry and further church responsibilities in terms of the election of leaders or ministers of God because in the established procedures that the election is the right and duty of every perform service duties. Another problem faced in the determination of GKJW leaders in the three districts of Pacet, Gondang and Dlanggu Mojokerto is that at the time of the selection of candidates to be appointed as God's servants, more people withdrew than were willing, on the grounds of 1) work that could not be left, 2) Did not have the ability to serve 3). No knowledge of Theology 4. No sense of belonging to the church, so in the process of handing over the leadership is faced with a serious problem, namely the refusal to be a servant of God on the grounds of feeling unable to carry out the task entrusted. Rejection is done by sending a letter to the committee that has been assigned by the church on the grounds of inability or lack of confidence in leading the church. Research Methodology hhis study uses a quantitative approach (positivist) on qualifications in data collection and analysis to test the hypothesis applied. So, in this study found that the dominant background category that determines the confirmation of regeneration in the leadership of Moses based on the book of Numbers 27:15-23 for GKJW servants of God in the three sub-districts of Pacet, Gondang and Dlanggu Mojokerto East Java is the type of service, not education, thus providing uniqueness and novelty in the research process conducted on the research locus.

Political Preferences Of Young Generation (Gen Y And Gen Z) Ahead Of The Contestation Of The 2024 West Java Governor And Vice Governor Elections

Gen Y (millennials) and Z are predicted to have a vital role in the conduct of General Elections, this cannot be separated from quantitative data-based considerations, specifically their very large proportion of the total number of Voters. Within the context of the 2024 West Java Governor and Vice Governor Elections, such figure is realized to reach 54 percent. Given such background, it is not surprising that all components of interest, in this case the electoral committees, electoral candidates, and including academics are competing in making a more detailed map of the political preferences and voting behavior of gen Y and Z. This study uses a qualitative method and critical discourse analysis approach. This study seeks to show a number of factors in relation to the political preferences of gen Y and Z in the implementation of democratic mechanisms, specifically General Elections. These political preferences of gen Y and Z are mapped out through survey data, those survey data are analyzed in depth through the theory of voting behavior. This study is expected to be a reference for electoral committees and electoral candidates in the formulation of strategic policies to improve gen Y and Z's participation and involvement in electoral politics.

A platform for the early selection of non-competitive antibody-fragments from yeast surface display libraries.

In this work, we report the development of a platform for the early selection of non-competitive antibody-fragments against cell surface receptors that do not compete for binding of their natural ligand. For the isolation of such subtype of blocking antibody-fragments, we applied special fluorescence-activated cell sorting strategies for antibody fragments isolation from yeast surface display libraries. Given that most of the monoclonal antibodies approved on the market are blocking ligand-receptor interactions often leading to resistance and/or side effects, targeting allosteric sites represents a promising mechanism of action to open new avenues for treatment. To directly identify these antibody-fragments during library screening, we employed immune libraries targeting the epidermal growth factor receptor as proof of concept. Incorporating a labeled orthosteric ligand during library sorting enables the early selection of non-competitive binders and introduces an additional criterion to refine the selection of candidates exhibiting noteworthy properties. Furthermore, after sequencing, more candidates were identified compared to classical sorting based solely on target binding. Hence, this platform can significantly improve the drug discovery process by the early selection of more candidates with desired properties.