Selection Of Candidates Research Articles

Democratic Party Crisis as Result of the Middle East Conflict-2023

The unprecedented October 7, 2023, attack by the paramilitary wing of Hamas against Israeli civilians and peaceful targets has thoroughly shaken up social and political forces in the United States, Israel's main traditional ally. The ideological outbreak of pro-Palestinian Americans, many of whom constituted the core constituency of the Democratic Party candidate in the last presidential election, briefly weakened the cohesion of Biden's supporters in the 2024 election. Whether the Democratic Party will be able to hold on to its supporters under the pressure of ideological differences over the Middle East conflict is an open question.

Predicting effect of anti-PD-1/PD-L1 inhibitors therapy for hepatocellular carcinoma by detecting plasma metabolite based on UHPLC-MS.

Anti-PD-1/PD-L1 inhibitors therapy has become a promising treatment for hepatocellular carcinoma (HCC), while the therapeutic efficacy varies significantly among effects for individual patients are significant difference. Unfortunately, specific predictive biomarkers indicating the degree of benefit for patients and thus guiding the selection of suitable candidates for immune therapy remain elusive.no specific predictive biomarkers are available indicating the degree of benefit for patients and thus screening the preferred population suitable for the immune therapy. Ultra-high-pressure liquid chromatography-mass spectrometry (UHPLC-MS) considered is an important method for analyzing biological samples, since it has the advantages of high rapid, high sensitivity, and high specificity. Ultra-high-pressure liquid chromatography-mass spectrometry (UHPLC-MS) has emerged as a pivotal method for analyzing biological samples due to its inherent advantages of rapidity, sensitivity, and specificity. In this study, potential metabolite biomarkers that can predict the therapeutic effect of HCC patients receiving immune therapy were identified by UHPLC-MS. A partial least-squares discriminant analysis (PLS-DA) model was established using 14 glycerophospholipid metabolites mentioned above, and good prediction parameters (R2 = 0.823, Q2 = 0.615, prediction accuracy = 0.880 and p < 0.001) were obtained. The relative abundance of glycerophospholipid metabolite ions is closely related to the survival benefit of HCC patients who received immune therapy. This study reveals that glycerophospholipid metabolites play a crucial role in predicting the efficacy of immune therapy for HCC.

Oral Prescription Management.

The treatment of atopic dermatitis (AD) with oral treatments has been limited in the past due to the increased risk of adverse effects associated with oral agents. However, in recent years, a shift toward the minimization of adverse effects has been explored. Although existing treatment options like oral corticosteroids and Immunosuppressive therapies have been utilized for acute flare-ups of AD, their long-term use is limited by adverse effects and the need for lab monitoring. New systemic treatment options such as Janus kinase (JAK) inhibitors are emerging as a promising therapy, due to their quick onset and antipruritic features. However, the black box warning associated with this medication class requires careful selection of appropriate candidates and patient education despite early favorable safety profiles seen in AD trials. Discussion of other oral agents, like antibiotics and antihistamines, and their role in AD management are also clarified.

Liver Transplant for Hepatocellular Carcinoma in Post-Milan Criteria Era: A Long-Term Single-Center Experience.

We investigated the outcomes of liver transplant in patients with hepatocellular carcinoma. Prospectively, recipients of deceased donor liver transplants from 2007 to 2021 at Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran, were enrolled into the study. The Milan criteria were applied for selection of liver transplant candidates diagnosed with hepatocellular carcinoma. Patients with diagnosis of acute liver failure and who underwent secondary liver transplant were excluded. All patients diagnosed with hepatocellular carcinoma were given mechanistic target of rapamycin inhibitor with calcineurin inhibitor minimization 4 weeks after liver transplant. Patients were assigned to the experimental group (with hepatocellular carcinoma; n = 82) or the control group (without hepatocellular carcinoma; n = 1076). We recorded the etiologies of liver cirrhosis in the experimental group, demographic data from all patients, and postoperative complications. Of 1158 total patients, mean age was 44.15 ± 14.71 years (range, 1-73 years) and 712 were male patients (61.5%). In the experimental group (n = 82), there were 76 patients (92.68%) who were within the Milan criteria; others were excluded intraoperatively. All patients were followed for a median of 65.3 ± 40.8 months (range 10-197 months). Patient survival rates in the experimental group and control group at 3 months, 1 year, and 3 years were 89%, 80%, and 78% versus 84%, 81%, and 70%, respectively (P = .742). Hepatocellular carcinoma reoccurred in 6 patients (7.31%) at mean of 16.83 months postoperatively. Liver transplant for patients with hepatocellular carcinoma in the post-Milan criteria era is associated with acceptable outcomes.

Women’s voices for the earth: Communication strategies of women candidates on environmental issues in the 2024 election

Environmental issues have become a major focus in political agendas, including the selection of legislative candidates. This research aims to understand the communication strategies of women legislative candidates in shaping political narratives related to environmental issues in Aceh ahead of the 2024 legislative elections. This includes analyzing the communication approaches used, such as through mass media, social media platforms, and direct meetings with voters. Methods: This study used a qualitative approach. Data were collected through interviews, observations, and content analysis of messages delivered by women legislative candidates through various communication channels. Results showed that women legislative candidates successfully used persuasive language to relate environmental issues to voters’ daily lives. Communication strategies included active participation in mass media, use of social media platforms, and direct meetings with voters. The narratives developed strengthened voters’ perceptions of the impact of environmental issues in the local context. This research shows that women in Aceh politics play an important role in shaping political messages related to the environment. Skillful communication strategies helped strengthen the relationship between women legislative candidates and voters, while the narratives created a deeper and more personal understanding of environmental issues.

Postoperative subphenotypes modified the hepatoma arterial-embolization prognostic score: A novel smHAP-II nomogram.

Background: Three subphenotypes were identified for unresectable hepatocellular carcinoma (uHCC) after frontline transarterial chemoembolization (TACE). This study aimed to develop an individual smHAP-Ⅱ nomogram for uHCC patients after TACE. Methods: Between January 2007 to December 2016, 1517 uHCC patients undergoing TACE were included from four hospitals in China (derivation cohort: 597 cases; validation cohort: 920 cases). Multivariable Cox proportion regression analysis was used to develop a nomogram, incorporating postoperative subphenotypes (Phenotype 1, 2, 3) and HAP score (Score 0 to 4). The model was validated by a 1000-time bootstrap resampling procedure. The performance of the model was compared with existing ones by Harrell's C-index and Area Under Curve (AUC). Results: Postoperative subphenotypes modified the HAP score (smHAP-Ⅱ nomogram) was developed and validated, with the Harrell's C-index of the nomogram was 0.679 (SD: 0.029) for the derivation cohort and 0.727(SD:0.029) for the external cohort. The area under curves of the nomogram for 1-, 3-, and 5-year OS were 0.750, 0.710, and 0.732 for the derivation cohort, respectively (0.789, 0.762, and 0.715 for the external cohort). In the calibration curves stratified by treatment after TACE, the lines for re-TACE and stop-TACE cross at 0.23, indicating that patients with a 3-year predicted survival >23% would not benefit from TACE. Conclusions: The addition of postoperative subphenotypes significantly improved the prognostic performance. The smHAP-Ⅱ nomogram can be used for accurate prognostication and selection of optimal candidates for TACE, with the value to guide sequential treatment strategy.

ЗАГАЛЬНІ ТЕНДЕНЦІЇ ТА ПЕРСПЕКТИВНІ НАПРЯМИ РОЗВИТКУ РИНКУ РЕКРУТИНГОВИХ ПОСЛУГ УКРАЇНИ

The article is devoted to the study of the problem of ensuring the development of the recruiting services market in Ukraine. It was noted that the majority of business entities in Ukraine are unable to perform the entire necessary set of prescribed procedures in the cycle of personnel selection, which requires the involvement of specialized recruiting agencies capable of performing personnel selection at a highly professional level and ensuring the desired final result for the enterprise. Formulated advantages of cooperation of domestic enterprises with recruiting agencies. It has been established that the most widespread recruiting services in Ukraine are: Recruitment, Executive Search, Headhunting, Personnel Leasing, Preliminary and Outplacement. An essential and meaningful description of the main recruiting services is provided and their main advantages and disadvantages are outlined. Basic pricing models used by recruiting agencies are considered. It was noted that the cost of personnel recruiting services in Ukraine varies in a very wide price range and depends on a number of aspects. The main stages of the recruiting process are established and the principles of providing recruiting services are given. It is noted that their strict observance is a key factor in ensuring the correct selection of candidates and creating a positive image of the enterprise. The main trends in the development of the recruiting services market in Ukraine have been studied. The key directions for improving the efficiency of recruiting activities have been identified. The essential advantages of digitization of recruiting are outlined. It is noted that in the modern business environment, where competition for talent is an extremely important element of the implementation of a success strategy, the involvement of recruiting agencies becomes a very relevant tool for supporting organizations in ensuring effective HR management. At the same time, the provision of various recruiting services becomes a critical component of the successful selection and retention of talent, and the involvement of recruiting agencies is an extremely important strategic initiative for organizations, which allows for effective personnel management in today’s extremely complex conditions.

Review on Bariatric Surgery in Human Immunodeficiency Virus Patients

Bariatric surgery (BS) is a surgical intervention that aims to reduce excess body weight and improve obesity-related comorbidities. Obesity is a growing health problem among patients with human im¬munodeficiency virus (HIV) infection, especially with the widespread use of antiretroviral therapy (ART). However, there is limited evidence on the safety and efficacy of bariatric surgery in this pop¬ulation. This review summarizes the current knowledge on bariatric surgery in HIV patients, focusing on the types of procedures, the impact on HIV-related outcomes, antiretroviral considerations, concerns, and possible complications. The available data suggest that bariatric surgery is safe and well tolerated in HIV-infected individuals and does not adversely affect HIV disease progression or virologic suppression. However, bariatric surgery may increase the risk of postoperative complications such as strictures and micronutrient deficiencies and may require adjustments in ART regimens due to altered pharmacokinetics. Therefore, careful selection of candidates, multidisciplinary collaboration, and close monitoring are essential for optimal outcomes. Further studies are needed to evaluate the long-term effects of bariatric surgery in HIV patients and to compare different surgical techniques.

Nomogram to predict the presence of PSMA-negative but FDG-positive lesion in castration-resistant prostate cancer: a multicenter cohort study.

PSMA-negative but FDG-positive (PSMA-/FDG+) lesion in dual-tracer (68Ga-PSMA and 18F-FDG) positron emission tomography/computed tomography (PET/CT) is associated with an unfavorable response to Lutetium-177 (177Lu)-PSMA-617. This study sought to develop both radiomics and clinical models for the precise prediction of the presence of PSMA-/FDG+ lesions in patients with castration-resistant prostate cancer (CPRC). A cohort of 298 patients who underwent dual-tracer PET/CT with a less than 5-day interval was included. The evaluation of the prognostic performance of the radiomics model drew upon the survival data derived from 40 patients with CRPC treated with 177Lu-PSMA-617 in an external cohort. Two endpoints were evaluated: (a) prostate-specific antigen (PSA) response rate, defined as a reduction exceeding 50% from baseline and (b) overall survival (OS), measured from the initiation of 177Lu-PSMA-617 to death from any cause. PSMA-/FDG+ lesions were identified in 56 (18.8%) CRPC patients. Both radiomics (area under the curve [AUC], 0.83) and clinical models (AUC, 0.78) demonstrated robust performance in PSMA-/FDG+ lesion prediction. Decision curve analysis revealed that the radiomics model yielded a net benefit over the 'screen all' strategy at a threshold probability of ⩾4%. At a 5% probability threshold, the radiomics model facilitated a 21% reduction in 18F-FDG PET/CT scans while only missing 2% of PSMA-/FDG+ cases. Patients with a low estimated score exhibited significantly prolonged OS (hazard ratio = 0.49, p = 0.029) and a higher PSA response rate (75% versus 35%, p = 0.011) compared to those with a high estimated score. This study successfully developed two models with accurate estimations of the risk associated with PSMA-/FDG+ lesions in CRPC patients. These models held potential utility in aiding the selection of candidates for 177Lu-PSMA-617 treatment and guiding 68Ga-PSMA PET/CT-directed radiotherapy.

Structure-Guided and Phage-Assisted Evolution of Therapeutic Antibodies to Reverse On-Target Point Mutation-Mediated Resistance.

Resistance to therapeutic antibodies caused by on-target point mutations is a major obstacle in anticancer therapy, creating an "unmet clinical need." To tackle this problem, researchers are developing new generations of antibody drugs that can overcome the resistance mechanisms of existing agents. We have previously reported a structure-guided and phage-assisted evolution (SGAPAE) approach to evolve cetuximab, a therapeutic antibody, to effectively reverse the resistance driven by EGFRS492R or EGFRG465R mutations, without changing the binding epitope or compromising the antibody efficacy. In this protocol, we provide detailed instructions on how to use the SGAPAE approach to evolve cetuximab, which can also be applied to other therapeutic antibodies for reversing on-target point mutation-mediated resistance. The protocol consists of four steps: structure preparation, computational prediction, phage display library construction, and antibody candidate selection.

Event and data persistency models for the LHCb Real Time Analysis System

Starting in 2022, the upgraded LHCb detector is collecting data with a pure software trigger. In its first stage, reducing the rate from 30MHz to about 1MHz, GPUs are used to reconstruct and trigger on B and D meson topologies and high-pT objects in the event. In its second stage, a CPU farm is used to reconstruct the full event and perform candidate selections, which are persisted for offline use with an output rate of about 10GB/s. Fast data processing, flexible and custom-designed data structures tailored for SIMD architectures and efficient storage of the intermediate data at various steps of the processing pipeline onto persistent media, e.g. tapes is essential to guarantee the full physics program of LHCb. We present the event model and data persistency developments for the trigger of LHCb in Run 3. Particular emphasis is given to the novel software-design aspects with respect to the Run 1+2 data taking, the performance improvements which can be achieved and the experience of restructuring a major part of the reconstruction software in a large HEP experiment.

Potential Application of Hydrops MR Imaging: A Systematic Review

Background Diagnostic dilemma between clinical Meniere’s disease and radiological endolymphatic hydrops (EH) has emerged since the introduction of hydrops magnetic resonance imaging (MRI). The aim of this study is to explore the potential application of hydrops MRI on diagnosing the EH. Methods This review was developed from peer-reviewed articles published in those journals listed on journal of citation reports. The MEDLINE database of the US National Library of Medicine, Scopus, and Google Scholar were used to collect articles based on the guidelines (PRISMA 2020 statement) for reporting reviews. Results Initially, 470 articles were retrieved from 1983 to 2023, and 80 relevant articles were ultimately selected. The sensitivity (69%-92%) and specificity (78%-96%) values varied from each laboratory for detecting EH via hydrops MRI, probably due to candidate selection and the grading system employed. Conclusion The application of hydrops MRI allows (1) differentiation between EH and sudden sensorineural hearing loss; (2) determination of the affected side of EH; and (3) confirmation of the diagnosis of EH concomitant with other disorders. Notably, not all differentials for EH can be visualized on MR images. One of the existing gaps to be filled is that updated hydrops MRI fails to identify distortion, that is, rupture, collapse, fistula, or fibrosis of the inner ear compartments, akin to what histopathological evidence can demonstrate. Hence, enhanced ultrahigh resolution of hydrops MRI is required for demonstrating fine structures of the inner ear compartments in the future.

Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images.

Deep learning (DL) has proven highly effective for ultrasound-based computer-aided diagnosis (CAD) of breast cancers. In an automatic CAD system, lesion detection is critical for the following diagnosis. However, existing DL-based methods generally require voluminous manually-annotated region of interest (ROI) labels and class labels to train both the lesion detection and diagnosis models. In clinical practice, the ROI labels, i.e. ground truths, may not always be optimal for the classification task due to individual experience of sonologists, resulting in the issue of coarse annotation to limit the diagnosis performance of a CAD model. To address this issue, a novel Two-Stage Detection and Diagnosis Network (TSDDNet) is proposed based on weakly supervised learning to improve diagnostic accuracy of the ultrasound-based CAD for breast cancers. In particular, all the initial ROI-level labels are considered as coarse annotations before model training. In the first training stage, a candidate selection mechanism is then designed to refine manual ROIs in the fully annotated images and generate accurate pseudo-ROIs for the partially annotated images under the guidance of class labels. The training set is updated with more accurate ROI labels for the second training stage. A fusion network is developed to integrate detection network and classification network into a unified end-to-end framework as the final CAD model in the second training stage. A self-distillation strategy is designed on this model for joint optimization to further improves its diagnosis performance. The proposed TSDDNet is evaluated on three B-mode ultrasound datasets, and the experimental results indicate that it achieves the best performance on both lesion detection and diagnosis tasks, suggesting promising application potential.

Implementation of the ORESTE Method in Determining the Selection of Service Ambassador Events

The selection of candidates to become Service Ambassadors is an important and complex process. Assessors need to consider many factors and the relative weight of each factor to ensure the best candidate is selected for the position. One method that can be used in candidate selection is the ORESTE method. The ORESTE method is a multi-criteria decision-making method developed by J.P. Brans and B. Mareschal in 1994. This method allows assessors to aggregate multiple criteria and consider the relative weight of each criterion to compare alternatives and produce a ranking of candidates based on the highest relative value. In the context of Service Ambassador selection, the ORESTE method can assist assessors in solving complex decision-making problems and ensuring the best candidate is selected for the position. The method allows raters to consider multiple criteria and consider the relative weight of each criterion, resulting in a ranking of candidates based on the highest relative value. Thus, the use of the ORESTE method in determining the selection of Tourism Ambassadors can simplify and speed up the candidate selection process, as well as increase accuracy and satisfaction in decision making. By using the ORESTE method, the results of the decision to select the winner of the Service Ambassador event are obtained with a preference value of 4.42

Friends and Neighbours: Electoral Geography of 2020 Local Election in Metro City, Lampung, Indonesia

This article discusses local political dynamics in Indonesia, notably in the city of Metro. There are several factors why a particular candidate is more politically electable than others, including ethno-religious factors and money. Moreover, a traditional factor that needs to be considered in the study of electoral geography is the influence of the spatial effect upon voting behaviour. In the election, demographics and geography are two important factors in voting behaviour. The local election resulted in a competitive and dynamic political contest among the local elite in Metro. The result of the 2020 local election was particularly interesting because the independent candidate won and defeated the party-based candidate. This is a mixed methods approach combining the data from interviews and a qualitative survey. This research aims to analyse the spatial factor in Metro’s local election, looking at why a certain candidate won in a particular area and how the geographical factor influenced voting behaviour. Secondly, the result of the qualitative survey supported the finding that voters still consider ethno-religious factor. The finding obtained by this research reveals two significant narratives, specifically the crucial factor of ethno-religious sentiment on voting preference and the spatial factor related to residency in securing a victory for the candidate in the local election. Essentially, research concludes that the spatial factor is of importance in the context of Metro’s local election and supports Woolstencroft's (1980) classical concept of electoral geography comprising “friends and neighbours”.

Elektabilitas Calon Kepala Desa Wayame Dalam Pemelihan Kepala Desa Wayame Kota Ambon

Research carried out in Wayame Village to measure the eligibility of candidates for the village chief in the election to the homogeneous village in Ambon City. The problem at the site of the research is the low public participation as well as the weak public accountability in the village of Wayame. The research method is qualitatively descriptive by conducting in-depth interviews with the informant in person. As far as the research is concerned, the Wayame village community's political participation rate is very good to have seven candidates for the village chief. High political participation because the community wants a village leader who has integrity and a good leadership record. Research findings that people are very rational in determining the choice of wayame village heads who have experience and level of education can affect the selection of candidates who advance the election to wayame.

Two-dimensional Materials AlSI, AlSeBr, AlSeI, ScSI, ScSeBr, ScSeCl, ScSeI and InSI for Photocatalytic Water Splitting under Visible Light

This article aims to investigate possible 2D photocatalysts for water splitting and to provide a comprehensive overview of some selected candidate materials from the Computational 2D Materials Database (C2DB). In this article, several 2D materials that have not yet been synthesized or investigated are reviewed. The structure, electronic and optical properties were investigated for many materials, taking into account some criteria for the selection of candidates, such as ABC materials from groups 6 and 7, a band gap of 1.6 to 2.8 eV by HSE calculation, and that these monolayers should be non-magnetic. In this article, it was found that AlSI, AlSeBr, AlSeI, ScSI, ScSeBr, ScSeCl, ScSeI, and InSI (the space groups of these materials are Pmmn (No. 59)) can be used for photocatalytic water splitting. These materials were dynamically stable and possessed excellent visible light absorption. The calculated band gaps were between 2.2 and 2.8 eV and their edge positions of CBM and VBM perfectly matched the oxidation and reduction potentials of water.

Perilaku Memilih Masyarakat pada Pilkada Klaten 2020, Ulasan Kemenangan Pasangan Sri Mulyani - Yoga Hardaya

This research discusses the voting behavior of the people of Klaten in the 2020 local election in relation to the victory of the pair Sri Mulyani and Yoga Hardaya (MULYO). The purpose of this study is to identify the factors influencing voters in casting their votes for Sri Mulyani and Yoga Hardaya in the 2020 Klaten regional head election. The focus of this research was conducted in the Trucuk District as it has the largest Permanent Voter List (DPT) in Klaten. This study uses a mixed, quantitative-qualitative method. The quantitative approach was conducted with a survey research method on 397 people. The data analysis method used is multiple linear regression analysis. As for the qualitative approach, the researchers conducted in-depth interviews with several informants encountered. The results show that the voting behavior of the Klaten community is influenced by some factors, such as; Sociological, Psychological, Rational Choice, thus leading to the victory of the MULYO pair. The psychological factor becomes the dominant factor in determining choice by considering the prominence and party identification towards PDIP with a coefficient of 0.029. Meanwhile, the rational choice factor has a small influence on the selection of the regent candidate.

A method for the systematic selection of enzyme panel candidates by solving the maximum diversity problem

Enzymes are being increasingly exploited for their potential as industrial biocatalysts. Establishing a portfolio of useful biocatalysts from large and diverse protein family is challenging and a systematic method for candidate selection promises to aid in this task. Moreover, accurate enzyme functional annotation can only be confidently guaranteed through experimental characterisation in the laboratory. The selection of catalytically diverse enzyme panels for experimental characterisation is also an important step for shedding light on the currently unannotated proteins in enzyme families. Current selection methods often lack efficiency and scalability, and are usually non-systematic. We present a novel algorithm for the automatic selection of subsets from enzyme families. A tabu search algorithm solving the maximum diversity problem for sequence identity was designed and implemented, and applied to three diverse enzyme families. We show that this approach automatically selects panels of enzymes that contain high richness and relative abundance of the known catalytic functions, and outperforms other methods such as k-medoids.

Sentiment Analysis Of Indonesian Civil Servan Candidates 2023 Twitter Network With Naive Bayes Algorithm Method

The main objective of this research is to uncover the important role played by the social media platform Twitter in shaping public opinion regarding the 2023 Civil Servant Candidate (CPNS) selection process in Indonesia. Using advanced techniques such as social network analysis and Python language processing, as well as the application of the Naive Bayes algorithm, this research carefully examines the conversation patterns and topic trends prevalent on Twitter during the CPNS selection phase. The findings of this research unequivocally highlight the enormous influence of Twitter on public sentiment related to CPNS selection, as demonstrated by the classification model's impressive accuracy rate of approximately 95.19%. In addition, this research successfully identifies the influential roles played by key actors, prominent accounts, and narratives in shaping public perceptions. These groundbreaking insights foster a comprehensive understanding of the dynamic nature of public opinion in the context of CPNS selection, providing an invaluable basis for designing more effective communication strategies for the government and prospective civil servants.