Candidates For Strategies Research Articles

‘Sacrifical lambs’ or candidate mimicking? Gender-based nomination strategies in elections

This paper explores an alternative mechanism for understanding the drivers of the nomination of women for elective office in single-member electoral systems. Previous research has generally examined two sources of gender-based politics: party ideology, with leftist parties being more female-friendly than rightist parties, and the strategic nomination of candidates depending on whether the party is expected to win or lose in the district, with women more likely to be used as ‘sacrificial lambs’ in hopeless contests. We argue that the nomination of male and female candidates across districts reflects an interdependence of party strategies – in particular, the actions of the main opposition party. We hypothesise that when the trailing party is not committed to gender equality, its equilibrium strategy in a given district is the nomination of a candidate of the same gender as that of the front-running party. Secondary data from 1,017 single-member Australian districts and more than 2,000 candidates from 2001–2019 confirm our hypothesis.

Bone marrow-derived AXL tyrosine kinase promotes mitogenic crosstalk and cardiac allograft vasculopathy

Cardiac Allograft Vasculopathy (CAV) is a leading contributor to late transplant rejection. Although implicated, the mechanisms by which bone marrow-derived cells promote CAV remain unclear. Emerging evidence implicates the cell surface receptor tyrosine kinase AXL to be elevated in rejecting human allografts. AXL protein is found on multiple cell types, including bone marrow-derived myeloid cells. The causal role of AXL from this compartment and during transplant is largely unknown. This is important because AXL is a key regulator of myeloid inflammation. Utilizing experimental chimeras deficient in the bone marrow-derived Axl gene, we report that Axl antagonizes cardiac allograft survival and promotes CAV. Flow cytometric and histologic analyses of Axl-deficient transplant recipients revealed reductions in both allograft immune cell accumulation and vascular intimal thickness. Co-culture experiments designed to identify cell-intrinsic functions of Axl uncovered complementary cell-proliferative pathways by which Axl promotes CAV-associated inflammation. Specifically, Axl-deficient myeloid cells were less efficient at increasing the replication of both antigen-specific T cells and vascular smooth muscle cells (VSMCs), the latter a key hallmark of CAV. For the latter, we discovered that Axl-was required to amass the VSMC mitogen Platelet-Derived Growth Factor. Taken together, our studies reveal a new role for myeloid Axl in the progression of CAV and mitogenic crosstalk. Inhibition of AXL-protein, in combination with current standards of care, is a candidate strategy to prolong cardiac allograft survival.

From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic.

Several models have been developed to predict how the COVID-19 pandemic spreads, and how it could be contained with nonpharmaceutical interventions, such as social distancing restrictions and school and business closures. This article demonstrates how evolutionary AI can be used to facilitate the next step, i.e., determining most effective intervention strategies automatically. Through evolutionary surrogate-assisted prescription, it is possible to generate a large number of candidate strategies and evaluate them with predictive models. In principle, strategies can be customized for different countries and locales, and balance the need to contain the pandemic and the need to minimize their economic impact. Early experiments suggest that workplace and school restrictions are the most important and need to be designed carefully. They also demonstrate that results of lifting restrictions can be unreliable, and suggest creative ways in which restrictions can be implemented softly, e.g., by alternating them over time. As more data becomes available, the approach can be increasingly useful in dealing with COVID-19 as well as possible future pandemics.

Inhibition of 5-lipoxygenase is associated with downregulation of the leukotriene B4 receptor 1/ Interleukin-12p35 pathway and ameliorates sepsis-induced myocardial injury

Sepsis rapidly contributed to multiorgan failure affecting most commonly of the cardiovascular and respiratory systems and yet there were no effective therapies. The current study aimed at providing evidence on the cardioprotection of suppression of 5-Lipoxygenase (5-Lox) and identifying the possible mechanism in the mouse model of sepsis. The cecal ligation-perforation (CLP) model was applied to C57BL/6 wild-type (WT) and 5-Lox deficient (5-Lox−/−) mice to induce sepsis. 5-Lox expression was up-regulated in mouse myocardium and leukotriene B4 (LTB4) level was increased in serum after sepsis. Subsequently, we utilized a recombinant adenoviral expression vector (rAAV9) to overexpress Alox5 gene in adult mice. Compared to WT mice, 5-Lox overexpression accelerated CLP-induced myocardial injury and cardiac dysfunction. Oppositely, 5-Lox deficiency offered protection against myocardial injury in a mouse model of sepsis and attenuated sepsis-mediated inflammation, oxidative stress and apoptosis in the mouse heart. Mechanically, 5-Lox promoted LTB4 production, which in turn contributed to the activation of leukotriene B4 receptor 1 (BLT1)/interleukin-12p35 (IL-12p35) pathway and enhanced M1 macrophage polarization. However, the suppression of BLT1 by either gene mutation or antagonist U75302 significantly inhibited the adverse effect of 5-Lox in sepsis. Further study demonstrated that pharmacological inhibition of 5-Lox prevented CLP-induced septic cardiomyopathy (SCM). Our study identified 5-Lox exacerbated sepsis-associated myocardial injury through activation of LTB4 production and promoting BLT1/IL-12p35 pathway. Hence, inhibition of 5-Lox may be a potential candidate strategy for septic cardiac dysfunction treatment.

Relating Student Engagement Indicators to Academic Performance Using Multiple Correspondence Analysis

Abstract Student engagement is an essential device for deepening learning, achieving learning outcomes, developing competencies, and improving academic performance in education settings. It is widely receiving increased attention among various scholars and higher education leaders. However, there are increasing concerns about the academic performance of students in higher education settings. The application of statistical data analytics for mining student engagement datasets is a candidate strategy for discovering essential indicators associated with academic performance. However, widely used data analytic methods like principal component analysis are ineffective when most of the indicators captured are categorical, making them inappropriate for establishing the weighty academic performance indicators. This study’s objective was to investigate the application of multiple correspondence analysis to establish weighty student engagement indicators of academic performance. This study’s findings have indicated that higher-order learning and student-staff interaction are weighty indicators that relate student engagement to academic performance.

A Simulation Method Based on the Candidate Operation Strategies for the Combined Cooling, Heat, and Power (CCHP) System

With the change of the distributed Combined cooling, heat, and power (CCHP) system operation environment, such as the operation under the power market, CCHP needs to adopt the operation strategy based on cost minimization instead of the traditional following thermal load strategy (FTL). However, the current CCHP system simulation adopts FTL or FEL or a combination of the two; whether these strategies have the least cost has not been confirmed. In this paper, all kinds of operation strategies of the CCHP with two cooling methods are investigated according to the KKT conditions (Karush–Kuhn–Tucker conditions) of the optimal operation model. Among all the feasible operation strategies, most of them do not meet the KKT condition, and only 43 strategies may be the optimal ones that constitute candidate set. The conditions of the optimal operation strategy in the candidate set are obtained, and it is easy to calculate, so the optimal operation strategy can be easily selected from the candidate set. Some previously unnoticed strategies, for example, TEWM, PE-FPG, FTL-R, and FEL-L, may become optimal. A rule-based CCHP simulation method is established that selects the strategy with minimal cost as the optimal strategy from the candidate strategy set. The presented method has small time consumption and can simulate the optimal operation. The case study verified the characteristics of the proposed simulation method.

Control without Confirmation: The Politics of Vacancies in Presidential Appointments

Scholarship on separation of powers assumes executives are constrained by legislative approval when placing agents in top policy-making positions. But presidents frequently fill vacancies in agency leadership with unconfirmed, temporary officials or leave them empty entirely. I develop a novel dataset of vacancies across 15 executive departments from 1977 to 2016 and reevaluate the conventional perspective that appointment power operates only through formal channels. I argue that presidents’ nomination strategies include leaving positions empty and making interim appointments, and this choice reflects presidents’ priorities and the character of vacant positions. The evidence indicates that interim appointees are more likely when positions have a substantial capacity to act on presidential expansion priorities and suggest that presidents can capitalize on their first-mover advantage to evade Senate confirmation. The results further suggest that separation of powers models may need to consider how deliberate inaction and sidestepping of formal powers influence political control and policy-making strategies.

Development of an Improved Guanidine-Based Rac1 Inhibitor with in vivo Activity against Non-Small Cell Lung Cancer.

The Rho GTPase Rac1 is involved in the control of cytoskeleton reorganization and other fundamental cellular functions. Aberrant activity of Rac1 and its regulators is common in human cancer. In particular, deregulated expression/activity of Rac GEFs, responsible for Rac1 activation, has been associated to a metastatic phenotype and drug resistance. Thus, the development of novel Rac1-GEF interaction inhibitors is a promising strategy for finding new preclinical candidates. Here, we studied structure-activity relationships within a new family of N,N'-disubstituted guanidine as Rac1 inhibitors. We found that compound 1D-142, presents superior antiproliferative activity in human cancer cell lines and higher potency as Rac1-GEF interaction inhibitor in vitro than parental compounds. In addition, 1D-142 reduces Rac1-mediated TNFα-induced NF-κB nuclear translocation during cell proliferation and migration in NSCLC. Notably, 1D-142 allowed us to show for the first time the application of a Rac1 inhibitor in a lung cancer animal model.

Multi-level muddling: Candidate strategies to “nationalize” local elections

Comparative literature has identified how political parties at subnational levels strategically refer to the performance of parties or policy issues at national level to varying degrees. Building upon these studies on multi-level electoral dynamics, the article demonstrates how individual legislative candidates, and not just parties, selectively adopt what we call “cross-level electoral appeals”(CLEAs): campaign messages which emphasize issues, performances, and actors in levels of government other than that which the candidate or party is seeking office. Advancing existing conceptualizations of nationalization, we posit that there are mainly three types of such CLEAs, those in which local candidates: 1) praise or criticize a specific national policy or 2) performance of the national government; or 3) emphasize personal linkages to national-level parties or politicians. The article investigates the potential factors which lead to more frequent CLEAs by observing candidate manifestos for local legislative elections in Japan. We use an original dataset from a sample of prefectures differently affected by specific national policies, candidates affiliated to parties differing in organizational centralization and from districts varying in seat magnitude as well as incumbent party popularity. To test hypotheses about national and local level party popularity as well as district-level variables on the frequency of such appeals, the article analyzed the data set using the novel methodology of not just counting, but also measuring the surface area of specific appeals in candidate manifestos. Through regression analysis, we find evidence of national government party popularity leading to more frequency of local candidate CLEAs. We also find that local candidates who are more dependent on the party vote (i.e. those in smaller district magnitudes and in centralized party organizations) are more prone to certain types of CLEAs.

Short-course radiotherapy and subsequent CAPOX plus camrelizumab followed by delayed surgery for locally advanced rectal cancer:Short-term results of a phase II trial.

63 Background: Chemoradiotherapy followed by radical surgery is standard treatment for patients with locally advanced rectal cancer (LARC). Short-course radiotherapy (SCRT), either with immediate or delayed surgery, provides similar oncological results compared with long-course radiotherapy with delayed surgery. Delayed surgery with the addition of neoadjuvant immunotherapy may bring better downstaging effect and minimize the risk of distant relapse. We conducted this single-arm phase 2 trial to investigate the efficacy and safety of SCRT combined with subsequent capecitabine and oxaliplatin (CAPOX) plus Camrelizumab (anti-PD-1 antibody) followed by delayed surgery in patients with LARC. Methods: Patients with histologically confirmed T3–4N0M0 or T1-4N+M0 rectal cancer, previously untreated disease, and ECOG performance status of 0-1, received SCRT (5×5 Gy) with subsequent two 21-day cycles of CAPOX (oxaliplatin 130 mg/m2 ivgtt, d1; capecitabine 1000 mg/m2 po bid, d1-14) plus Camrelizumab (200 mg iv drip, d1) after 1 week, followed by radical surgery after 1 week. Adjuvant therapy was decided by the investigator. The primary endpoint was pathological complete response (pCR) rate, defined as the absence of viable tumor cells in the primary tumor and lymph nodes. The study is ongoing to follow up the survival outcomes and obtain the results of next generation sequencing and PD-L1 expression. The data cutoff date was September 8, 2020. Results: From November 2019 to September 2020, a targeted number of patients (n = 29) were enrolled and are expected to complete the surgery by November 2020. The median age was 57 (range 31-73) years, 55% (16/29) of patients had ECOG performance status of 1, and the median distance from tumor to the anal verge was 5 (range, 1.9-9) cm. At data cutoff, 10 patients had undergone the surgery, with R0 resection rate of 100%. The pCR rate was 60% (6/10), including 56% (5/9) for those with mismatch repair-proficient, and 100% (1/1) for those with mismatch repair-deficient. Of 4 patients without pCR, 2 only received one cycle of CAPOX plus Camrelizumab due to the outbreak of COVID-19 in Wuhan, and 1 had signet-ring cell rectal carcinoma. At data cutoff, 20 patients had received at least one dose of Camrelizumab. Immune-related adverse events (irAEs) were all grade 1-2, and the most common irAE was reactive cutaneous capillary endothelial proliferation in 10 (50%) of 20 patients. Postoperative bleeding and infection occurred in 1 (10%) and 2 (20%) of 10 patients, respectively. No treatment-related death was observed. Conclusions: SCRT combined with subsequent CAPOX plus Camrelizumab followed by delayed surgery showed promising pCR rate with good tolerance in patients with LARC, regardless of the mismatch repair status, suggesting a candidate strategy for the neoadjuvant therapy. Clinical trial information: NCT04231552.

Techno-Economic Feasibility of Biomass Washing in 1G2G Sugarcane Biorefineries

There are still bottlenecks to be overcome for the feasible industrial production of first- and second-generation ethanol (1G2G EtOH). One of them is the pretreatment stage. Washing is a candidate strategy to remove lignocellulose-derived byproducts from pretreated biomass, in order to reduce the negative effects of furaldehydes and phenolic compounds in the downstream biochemical reactions. However, the effectiveness of the removal of these inhibitors is highly influenced by the operational conditions of the washing process. Here, evaluation was made of the techno-economic impacts of including a washing operation after hydrothermally pretreating sugarcane bagasse for 2G EtOH production in an integrated 1G2G biorefinery. Different washing protocols were tested, considering their effects on the enzymatic hydrolysis and fermentation, and experimental data were used for simulation of process scale-up. The removal of inhibitors improved the glucose yield by 40%, followed by an increase of ~ 30% in EtOH productivity. These findings showed that washing is a cost-competitive option for a 1G2G biorefinery, with a net present value for the industrial unit of ~US$ 2.3E + 8, which was the highest among the 1G2G scenarios analyzed.

The PhD Journey at Addis Ababa University: Study Delays, Causes and Coping Mechanisms

Aim/Purpose: This study was conducted to examine the rate of delay, explanatory causes, and coping strategies of PhD candidates at Addis Ababa University, Ethiopia’s premier university, over the last ten years. Background: Delayed graduation is a common theme in doctoral education around the world. It continues to draw the concern of governments, universities, and the candidates themselves, calling for different forms of intervention. Addressing these challenges is key to resolving the many obstacles into doctoral education. Methodology: Ten-year archival data consisting of 1,711 PhD students and in-depth interviews with ten PhD candidates were used as data-generation tools. The data collection focused on progression patterns, reasons for study delays, and the coping mechanisms used by doctoral students when they face challenges. While the candidates were interviewed to narrate their lived experience pertinent to the objectives of the study, the archival data regarding the PhD students were collected from the Registrar Office of the University under study. Contribution: Amid an ongoing global debate about best practices in doctoral education, the research on study delays contributes not only to filling the existing empirical gap in the area but also in identifying factors, for example, related to financial matters, family commitment, and student-supervisor rapport, that help address the challenges faced and improving the provision of doctoral education. Findings: The findings of this study revealed that the cumulative average completion time for a PhD study was 6.19 years— over two years more than the four years given as the optimum duration for completing a PhD program. The institutional pattern of delays over the last ten years indicates that doctoral students are requiring more and more years to complete their PhDs. The study further revealed that completing a PhD in time is a process that can be influenced by many interacting factors, which include student commitment and preparation, favourable academic and research environment, and positive student-supervisor rapport. Recommendations for Practitioners: It is important for practitioners and higher education institutions to find ways to improve the on-time completion of doctoral programmes in order to minimise the continued financial, emotional, and opportunity costs the higher education sector is currently incurring. Recommendation for Researchers: The fact that this study was limited to a single institution by itself warrants more studies about time-to-degree in PhD programs and causes for study delays as well as studies about successful interventions in doctoral education. Future research should particularly explore the nature of the advisor/advisee relationship and other critical factors that appear to have a significant role in addressing the challenges of study delay. Impact on Society: The expansion of PhD programmes is an encouraging development in Ethiopia. The findings of this study may help improve completion rates of doctoral students and reduce program duration, which would have significant implication to minimise the ensuing financial, emotional, and opportunity costs involved at individual, national, and institutional levels. Future Research: Given the growing number of universities in Ethiopia and their possible diversity, PhD students’ profiles, backgrounds, and expectations, more research is needed to examine how this diversity may impact doctoral students’ progression and persistence.

Research on Two-Level Energy Optimized Dispatching Strategy of Microgrid Cluster Based on IPSO Algorithm

This paper considers the economy and stability of the microgrid cluster system, and proposes a two-level energy optimization dispatching strategy for the microgrid cluster, which aims to coordinate the economic benefits and operational risks of the microgrid while reducing the interactive power and fluctuations between the microgrid cluster and the distribution network, and reduce line loss. The first level takes the microgrid as the research object, takes the highest economic benefit and the lowest operational risk as the optimization goals, uses the improved PSO algorithm to solve the problem, and builds the unit risk-economic benefit ratio screening solution set, and then formulates the internal dispatching candidate strategy of the microgrid. The second level is based on the premise that the interactive power between the microgrid cluster and the distribution network is minimized, and the optimal internal dispatching strategy of each microgrid is determined. Then the line loss of the microgrid cluster system is considered, and the microgrid cluster energy complementary scheme is formulated. Finally, a practical example verifies the feasibility and effectiveness of the two-level dispatching strategy and the improved algorithm.

Rich-colour mechanochromism of a cyanostilbene derivative with chiral self-assembly

The tricolored fluorescence switching was realized in a novel chiral fluorophore. The fabrication of a helical assembly was proposed as a candidate strategy for attaining an additional metastable state, which contributed to enriched PL colors via pairwise excimer emission.

基于改进代价计算和视差候选策略的立体匹配

基于改进代价计算和视差候选策略的立体匹配

Multi-objective evolutionary search strategies in constraint programming

It has been shown that evolutionary algorithms are able to construct suitable search strategies for classes of Constraint Satisfaction Problems (CSPs) in Constraint Programming. This paper is an explanation of the use of multi-objective optimisation in contrast to simple additive weighting techniques with a view to develop search strategies to classes of CSPs. A hierarchical scheme is employed to select a candidate strategy from the Pareto frontier for final evaluation. The results demonstrate that multi-objective optimisation significantly outperforms the single objective scheme in the same number of objective evaluations. In situations where strategies developed for a class of problems fail to extend to unseen problem instances of the same class, it is found that the structure of the underlying CSPs do not resemble those employed in the training process.

THE REPRESENTATION OF HEALTH MINISTER IN HANDLING COVID-19 IN INDONESIA: A CRITICAL DISCOURSE ANALYSIS

COVID-19 outbreaks that threaten human health have become a pandemic. As the Health Minister in Indonesia, the actions were taken by the Letjen TNI (Purn) Dr. dr. Terawan Agus Putranto, Sp. Rad. (K) in handling this pandemic is in the spotlight. There are so many media that providenews related to the efforts of the Health Minister in handling this case, one of which is The Jakarta Post. This study aims to describe the representation of Mr. Terawan as Health Minister in handling COVID-19 cases in Indonesia in The Jakarta Post. Critical Discourse Analysis as an approach is used in his study. The data are the articles in The Jakarta Post related to Mr. Terawan in handling the COVID-19 cases in Indonesia. The data is analyzed using a discursive strategy. According to Wodak& Mayer (2001), there are five strategies in Discursive, but this study only applies two strategies, namely Nomination Strategies and Predication Strategies. The findings in this study are; (1) four nomination strategies areused by The Jakarta Post. They are deixis, proper names, professional anthroponym, and nouns. The Jakarta Post uses the nomination strategy to avoid repetition of the same proper name, to show the readers which person becomes the center of the text, and to describe and report Mr. Terawan’s action regarding his job as Health Minister; (2) The Jakarta Post gave a negative attribute to the performance of Mr. Terawan as a Health Minister in handling with COVID-19 cases.The Jakarta Post’s belief that Mr. Terawan has performed badly as a Health Minister in handling the COVID-19 case and The Jakarta Post sees Mr. Terawan as a careless person in the case.

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

Strategic position taking: optimal strategy for Senate candidates in the Obama era

ABSTRACT In this paper, we test the optimal position taking strategy for senators running for reelection vis-à-vis their party’s president. Using data from a survey experiment conducted using a national sample, we examine the responses towards three hypothetical Democrats: (i) ‘embracing’ or supportive of Barack Obama (ii.) ambiguous about their attitude towards Obama (iii.) ‘eschewing’ or opposed to Obama. Comparing participants exposed to the ambiguous and the embracing Democrat, we find some evidence of a difference in candidate preference, but little evidence to suggest that the strategy gains votes. Comparing participants exposed to the eschewing Democrat to the embracing Democrat, we find that the strategy does yield some gains but these are offset by losses amongst the base. Overall, these findings suggest that the optimal reelection strategy for Democratic candidates is to remain supportive, unless they are running in areas with a high concentration of Republicans—then the eschew strategy can yield some gains.

A multiscale model of lignin biosynthesis for predicting bioenergy traits in Populus trichocarpa

Understanding the mechanisms behind lignin formation is an important research area with significant implications for the bioenergy and biomaterial industries. Computational models are indispensable tools for understanding this complex process. Models of the monolignol pathway in Populus trichocarpa and other plants have been developed to explore how transgenic modifications affect important bioenergy traits. Many of these models, however, only capture one level of biological organization and are unable to capture regulation across multiple biological scales. This limits their ability to predict how gene modification strategies will impact lignin and other wood properties. While the first multiscale model of lignin biosynthesis in P. trichocarpa spanned the transcript, protein, metabolic, and phenotypic layers, it did not account for cross-regulatory influences that could impact abundances of untargeted monolignol transcripts and proteins. Here, we present a multiscale model incorporating these cross-regulatory influences for predicting lignin and wood traits from transgenic knockdowns of the monolignol genes. The three main components of this multiscale model are (1) a transcript-protein model capturing cross-regulatory influences, (2) a kinetic-based metabolic model, and (3) random forest models relating the steady state metabolic fluxes to 25 physical traits. We demonstrate that including the cross-regulatory behavior results in smaller predictive error for 23 of the 25 traits. We use this multiscale model to explore the predicted impact of novel combinatorial knockdowns on key bioenergy traits, and identify the perturbation of PtrC3H3 and PtrCAld5H1&2 monolignol genes as a candidate strategy for increasing saccharification efficiencies while reducing negative impacts on wood density and height.