Multiple Levels Research Articles

Across languages, across media. A comparative analysis of linguistic variation in literary translation and transmedial adaptation of a Chinese-American fictional character

This study explores translation and transmediality by examining the adaptation of Charlie Chan’s literary and cinematic portrayal in English and Italian. As a Chinese American fictional detective created by E.D. Biggers in the 1920s (often accused of stereotyping the minority he represents), Charlie Chan navigates various cultural contexts, providing a rich ground for intermedial comparisons. By employing an intercultural and intermedial approach to Translation Studies, this research sets out to understand how linguistic variation is represented across languages and media. The analysis intertwines multiple levels of translation, as it investigates the passages from English source to Italian target version of both novel and film (interlingual translation), as well as the novel-film adaptation as a form of rewriting (and therefore of medium translation). In particular, the focus will be on how Chan’s language variation, with specific attention to those traits that are supposed to delineate his fictional ‘Chineseness’, may have changed across these multiple translational passages. The findings of this research reveal that the different versions preserve and adapt to various extents Chan’s portrayal, and that both different languages and media contribute to a nuanced understanding of the complexities in the (stereotyped) representation of the image of minority characters.

A novel Multi-Level Refined (MLR) knowledge graph design and chatbot system for healthcare applications.

Imagine having a knowledge graph that can extract medical health knowledge related to patient diagnosis solutions and treatments from thousands of research papers, distilled using machine learning techniques in healthcare applications. Medical doctors can quickly determine treatments and medications for urgent patients, while researchers can discover innovative treatments for existing and unknown diseases. This would be incredible! Our approach serves as an all-in-one solution, enabling users to employ a unified design methodology for creating their own knowledge graphs. Our rigorous validation process involves multiple stages of refinement, ensuring that the resulting answers are of the utmost professionalism and solidity, surpassing the capabilities of other solutions. However, building a high-quality knowledge graph from scratch, with complete triplets consisting of subject entities, relations, and object entities, is a complex and important task that requires a systematic approach. To address this, we have developed a comprehensive design flow for knowledge graph development and a high-quality entities database. We also developed knowledge distillation schemes that allow you to input a keyword (entity) and display all related entities and relations. Our proprietary methodology, multiple levels refinement (MLR), is a novel approach to constructing knowledge graphs and refining entities level-by-level. This ensures the generation of high-quality triplets and a readable knowledge graph through keyword searching. We have generated multiple knowledge graphs and developed a scheme to find the corresponding inputs and outputs of entity linking. Entities with multiple inputs and outputs are referred to as joints, and we have created a joint-version knowledge graph based on this. Additionally, we developed an interactive knowledge graph, providing a user-friendly environment for medical professionals to explore entities related to existing or unknown treatments/diseases. Finally, we have advanced knowledge distillation techniques.

Long-term dietary exposure to the non-steroidal anti-inflammatory drugs diclofenac and ibuprofen can affect the physiology of common carp (Cyprinus carpio) on multiple levels, even at “environmentally relevant” concentrations

The aim of the study was to evaluate the effects of emerging environmental contaminants, the non-steroidal anti-inflammatory drugs (NSAIDs) diclofenac (DCF) and ibuprofen (IBP), on physiological functions in juvenile common carp (Cyprinus carpio). Fish were exposed for 6 weeks, and for the first time, NSAIDs were administered through diet. Either substance was tested at two concentrations, 20 or 2000 μg/kg, resulting in four different treatments (DCF 20, DCF 2000, IBP 20, IBP 2000). The effects on haematological and biochemical profiles, the biomarkers of oxidative stress, and endocrine disruption were studied, and changes in RNA transcription were also monitored to obtain a comprehensive picture of toxicity. Fish exposure to high concentrations of NSAIDs (DCF 2000, IBP 2000) elicited numerous statistically significant changes (p < 0.05) in the endpoints investigated, with DCF being almost always more efficient than IBP. Compared to control fish, a decrease in total leukocyte count attributed to relative lymphopenia was observed. Plasma concentrations of total proteins, ammonia, and thyroxine, and enzyme activities of alanine aminotransferase (ALT), aspartate aminotransferase, and alkaline phosphatase (ALP) were significantly elevated in either group, as were the activities of certain hepatic antioxidant enzymes (superoxide dismutase, glutathione-S-transferase) in the DCF 2000 group. The transcriptomic profile of selected genes in the tissues of exposed fish was affected as well. Significant changes in plasma total proteins, ammonia, ALT, and ALP, as well as in the transcription of genes related to thyroid function and the antioxidant defense of the organism, were found even in fish exposed to the lower DCF concentration (DCF 20). As it was chosen to match DCF concentrations commonly detected in aquatic invertebrates (i.e., the potential feed source of fish), it can be considered “environmentally relevant”. Future research is necessary to shed more light on the dietary NSAID toxicity to fish.

Exploratory spatial analysis: Understanding the geography of risks for trafficking and preventive efforts through the implementation of kNOw MORE!—: an educational program in middle and high schools in San Diego, California

Human trafficking (HT) violates human rights and brings long-lasting consequences for victims. This study aimed to geographically and statistically analyze (1) the implementation of a youth educational prevention program, kNOw MORE! (kM!) located in San Diego County (SD); (2) clusters of student participants who desired to talk further about trafficking after participating in kM!; (3) clusters of SD regions that included protective factors based on mental and social services for survivors of HT and similar populations; and (4) the low and high risk clusters for trafficking within SD. kM! is a preventive program that seeks to increase knowledge and self-efficacy to prevent trafficking. kM! is designed to increase knowledge and self-efficacy among middle and high school students to prevent HT. Databases used included the U.S. Census, the California Longitudinal Pupil Achievement Data System, kM!’s (2016–2020), among others. Results indicate that kM! was implemented throughout the six regions of SD. These presentations reached a total of N = 11,586 participants. Analysis of ZIP codes highlighted the South and East regions as representing the highest cluster for kM!’s presentations. Central, North Inland, and South Regions of SD are among the ones with highest percentiles of HT vulnerability scores. Regarding protective factors, the Central Region of San Diego contains the highest clustering of mental health and social services. These findings can assist diverse stakeholders and leaders to geographically strategize their anti-trafficking efforts. However, complete and uniform open databases at multiple levels are required to best inform the associations between geographical spaces and HT vulnerability.

Digital Twin Learning Ecosystem: A cyber–physical framework to integrate human-machine knowledge in traditional manufacturing

As Industry 4.0 enablers, digital twins of manufacturing systems have led to multiple interaction levels among processes, systems, and workers across the factory. However, open issues still exist when addressing cyber–physical convergence in traditional manufacturing small and medium-sized enterprises. The problem for both traditional operators and the existing infrastructure is how to adapt knowledge to the increasing business needs of manufacturing plants that demand high efficiency, while reducing production costs. In this paper, a framework that implements the novel concept of Digital Twin Learning Ecosystem in traditional manufacturing is presented. The objective is to facilitate the integration of human-machine knowledge in different industrial cyber–physical contexts and eliminate existing technological and workforce barriers. This adaptive approach is particularly important in meeting the requirements to help small and medium-sized enterprises build their own interconnected Digital Twin Learning Ecosystem. The contribution of this work lies in a single digital twin learning framework for different traditional manufacturing scenarios that can work from scratch using a light infrastructure, reusing the knowledge and common condition-based methods well-known by skilled workers to rapidly and flexibly integrate existing legacy resources in a non-intrusive manner. The solution was tested using real data from a milling machine and a currently operating induction furnace with a maximum power of 12 MW in a foundry plant. In both cases, the proposed solution proved its benefits: first, by providing augmented methods for maintenance operations on the milling machine and second, by improving the power efficiency of the induction furnace by approximately 9 percent.

Quantifying the HIV reservoir with dilution assays and deep viral sequencing.

People living with HIV on antiretroviral therapy often have undetectable virus levels by standard assays, but "latent" HIV still persists in viral reservoirs. Eliminating these reservoirs is the goal of HIV cure research. The quantitative viral outgrowth assay (QVOA) is commonly used to estimate the reservoir size, that is, the infectious units per million (IUPM) of HIV-persistent resting CD4+ T cells. A new variation of the QVOA, the ultra deep sequencing assay of the outgrowth virus (UDSA), was recently developed that further quantifies the number of viral lineages within a subset of infected wells. Performing the UDSA on a subset of wells provides additional information that can improve IUPM estimation. This paper considers statistical inference about the IUPM from combined dilution assay (QVOA) and deep viral sequencing (UDSA) data, even when some deep sequencing data are missing. Methods are proposed to accommodate assays with wells sequenced at multiple dilution levels and with imperfect sensitivity and specificity, and a novel bias-corrected estimator is included for small samples. The proposed methods are evaluated in a simulation study, applied to data from the University of North Carolina HIV Cure Center, and implemented in the open-source R package SLDeepAssay.

Exploring the Influence of Romantic Relationship Communication on Adolescents’ Self-Efficacy to Ask for Sexual Consent

ABSTRACT Adolescence represents a crucial period for sexual and romantic relationship development, and acquisition of skills and confidence essential for effective sexual consent communication. However, various barriers may interfere with adolescents’ belief in their ability (i.e., their self-efficacy) to negotiate consent in practice. This study aimed to investigate the state of adolescents’ self-efficacy to ask for consent and explore the influence of romantic relationship communication (a construct comprised of three characteristics: relationship assertiveness skills, positive conflict resolution, and communication awkwardness). Participants were 411 adolescents who had current or past relationships (61% girls, 77% Latine, 79% heterosexual). Participants generally reported above-average levels of self-efficacy to ask for consent (M = 4.14 out of 7, SD = 1.24), with LGBQ+ adolescents exhibiting statistically significantly higher levels of self-efficacy compared to heterosexual adolescents (M = 4.51 vs. 4.09, t = -2.66, p = .008). Self-efficacy to ask for consent was positively individually related to positive conflict resolution and relationship assertiveness skills, and negatively related to communication awkwardness (all ps < .001). In a path model, romantic relationship communication displayed a statistically significant association with adolescents’ self-efficacy to ask for consent, with high positive conflict resolution, low communication awkwardness, and high relationship assertiveness skills being associated with higher self-efficacy to ask for consent. Findings suggest improving adolescents’ romantic communication skills may enhance their self-efficacy to ask for consent, and contribute to increased rates of sexual consent communication. Intervention strategies should target multiple levels of influence to promote positive consent cognitions, behaviors, and cultural norms.

Isolated Cardiac Ryanodine Receptor Function Varies Between Mammals.

Concerted robust opening of cardiac ryanodine receptors' (RyR2) Ca2+ release 1oplasmic reticulum (SR) is fundamental for normal systolic cardiac function. During diastole, infrequent spontaneous RyR2 openings mediate the SR Ca2+ leak that normally constrains SR Ca2+ load. Abnormal large diastolic RyR2-mediated Ca2+ leak events can cause delayed after depolarizations (DADs) and arrhythmias. The RyR2-associated mechanisms underlying these processes are being extensively studied at multiple levels utilizing various model animals. Since there are well-described species-specific differences in cardiac intracellular Ca2+ handing in situ, we tested whether or not single RyR2 function in vitro retains this species specificity. We isolated RyR2-rich heavy SR microsomes from mouse, rat, rabbit, and human ventricular muscle and quantified RyR2 function using identical solutions and methods. The single RyR2 cytosolic Ca2+ sensitivity was similar across these species. However, there were significant species differences in single RyR2 mean open times in both systole and diastole-like solutions. In diastole-like solutions, single rat/mouse RyR2 open probability and frequency of long openings (> 6ms) were similar, but these values were significantly greater than those of either single rabbit or human RyR2s. We propose these in vitro single RyR2 functional differences across species stem from the species-specific RyR2 regulatory environment present in the source tissue. Our results show the single rabbit RyR2 functional attributes, particularly in diastole-like conditions, replicate those of single human RyR2 best among the species tested.

Rethinking the company's role: Creating shared value from corporate social innovation

AbstractThis article aims to analyze how corporate social innovation contributes to the creation of shared value. The research presents a unique case study of a company in southern Brazil that is recognized for its strategic repositioning, based on a redefinition of its purpose and the inclusion of social and environmental values in its business model. We questioned how a for‐profit organization could create shared value based not only on economic considerations but also on social values? To this end, and based on Den Ouden's (2012) framework, we use multiple‐level analysis, considering the value created for users, organizations, society, and the ecosystem. To collect the data, we use in‐depth semi‐structured interviews and documentary research, followed by qualitative content analysis aided by Nvivo. We highlight the fact that for a company to create value considering diverse stakeholders at multiple levels of analysis, it must develop a capacity for collaboration, especially the ability to communicate and learn collectively. As a practical contribution, the results indicate that in creating shared value from corporate social innovation, it is important for organizational changes to be systemic, and for the development of solutions to focus on needs that emerge from the community. The study signals the importance of the community, especially the user, in developing solutions that focus on social challenges and encourage for‐profit organizations to rethink their role in society.

Strategies for Education and Literacy in the Preservation and Transmission of Jiujiang Folk Songs in Jiangxi Province

Jiujiang Folk Songs, from Jiujiang County in Jiangxi Province, is a traditional Chinese folk genre with unique musical styles and themes focusing on daily life, labor, love, and historical narratives. Beginning with an introduction that highlights the cultural significance of these songs, the study’s objective is to propose strategies for education and literacy in the preservation and transmission of Jiujiang folk songs in Jiangxi Province. Focusing on Jiujiang County, known for its rich cultural heritage, the research involves key informants with deep roots in the region and extensive experience in performing and teaching Jiujiang folk songs. Through qualitative data analysis, including live performance observations and structured interviews, the study identifies key challenges such as an aging population of practitioners, language barriers, and a lack of modern promotion. Drawing from these findings, the research suggests strategies at multiple levels, including legislative protection, cultural promotion, and school involvement, to bridge these gaps and ensure the continued preservation and transmission of Jiujiang folk songs. This study contributes to the broader discourse on the preservation of traditional cultural heritage in the face of modernization and serves as a model for safeguarding similar treasures worldwide.

Career Counselling Chatbot on Facebook Messenger using AI

We have increasingly seen that new graduates have difficulty finding a job, which they often work in different jobs than the ones they graduated from, and that employees are not satisfied with their career choices. One reason for this may be the lack of practical, useful education when a person is in college or has just graduated from college. Chatbots are very useful and a topic of interest in the field of computer science and artificial intelligence due to their ability to emulate experts in different applications and replicate human interaction on multiple levels. Research shows that using chatbots to provide career advice can be an effective way to provide these services in an environment where counselors work. The lack of good and appropriate vocational training means that young people begin to look for jobs that their parents have chosen for them, or jobs chosen only for high wages. These decisions will be made regardless of whether; they are in the person's best interests and interests. This can cause a person to be dissatisfied with their job, which affects not only their personal health but also the overall efficiency of their work. Therefore, the development of chatbots will better inform users and help them choose jobs. This will enable them to consider jobs that they do not expect to be more fulfilling and fulfilling than jobs that do not align with their interests. Research and development software was used in this study. According to the research method, the research was conducted to collect information about people's thoughts about their career choices and what kind of job training they want from the system. In addition, the latest research on career guidance was taken into account when creating the basis of the survey. This information is used to develop a chatbot on the Facebook Messenger platform using objects powered using tools such as the Facebook SDK, Messenger Platform API and JavaScript, as well as the Wit.ai API that supports natural language usage smart technology. Chatbots can understand user input and provide relevant and appropriate responses reliably and instantly. Overall, it is hoped that the results obtained will create a positive impression of the implementation of the system and thus become a valuable asset for any school or institution wishing to use the system.

Programmable Analog System Benchmarks Leading to Efficient Analog Computation Synthesis

This effort develops the first rich suite of analog and mixed-signal benchmark of various sizes and domains, intended for use with contemporary analog and mixed-signal designs and synthesis tools. Benchmarking enables analog-digital co-design exploration as well as extensive evaluation of analog synthesis tools and the generated analog/mixed-signal circuit or device. The goals of this effort are defining analog computation system benchmarks, developing the required concepts for higher-level analog and mixed-signal tools to utilize these benchmarks, and enabling future automated architectural design space exploration (DSE) to determine the best configurable architecture (e.g., a new FPAA) for a certain family of applications. The benchmarks comprise multiple levels of an acoustic , a vision , a communications , and an analog filter system that must be simultaneously satisfied for a complete system.

Unlocking organizational change: a deep dive through a data triangulation in healthcare

PurposeThe outbreak of the COVID-19 pandemic has significantly impacted healthcare systems, presenting unforeseen challenges that necessitated the implementation of change management strategies to adapt to the new contextual conditions. This study aims to analyze organizational changes within the total hip replacement (THR) surgery pathway at multiple levels, including macro, meso and micro. It employs data triangulation from various sources to gauge the complexity of the change process and comprehend how multi-level decision-making influenced an unexpected shift.Design/methodology/approachA multicentric, single in-depth case study was conducted using a mixed-methods approach. Data sources included patient-reported outcome measures specific to the THR pathway and carefully structured in-depth interviews administered to managers and clinicians in two healthcare organizations serving the same population.FindingsDecisions made at the macro level resulted in an overall reduction in surgical activities. Organizational changes at the meso level led to a complete cessation or partial reorganization of activities. Micro-level actions for change and adaptation revealed diverse and fragmented change management strategies.Practical implicationsOrganizations with segmented structures may require a robust and structured department for coordinating change management responses to prevent the entire system from becoming stuck in the absorptive phase of change. However, it is important to recognize that absorptive solutions can serve as a starting point for genuine innovations in change management.Originality/valueThe utilization of data triangulation enables the authors to visualize how specific changes implemented in response to the pandemic have influenced the observed outcomes. From a managerial perspective, it provides insights into how future innovations could be introduced.

Anticoagulation Management in V-V ECMO Patients: A Multidisciplinary Pragmatic Protocol

(1) Background: Extracorporeal membrane oxygenation (ECMO) is a complex procedure affecting both the risk of thrombosis and bleeding. High-quality data to personalize anticoagulation management in ECMO are lacking, resulting in a high variability in practice among centers. For this reason, we review coagulation methods and monitoring and share a pragmatic proposal of coagulation management, as performed in our high-volume ECMO Referral Centre; (2) Methods: We revised the anticoagulation options and monitoring methods available for coagulation management in ECMO through PubMed search based on words including “anticoagulation,” “coagulation assays,” “ECMO,” “ELSO,” and “ISTH”; (3) Results: Actual revision of the literature was described as our routine practice regarding ECMO anticoagulation and monitoring; (4) Conclusions: No coagulation test is exclusively predictive of bleeding or thrombotic risk in patients undergoing ECMO support. An approach that allows for a tailored regimen of anticoagulation (regardless of agent used) and monitoring is mandatory. To accomplish this, we propose that the titration of anticoagulation therapies should include multiple laboratory tests, including anti-Xa, aPTT, ACT, viscoelastic tests, AT levels, platelet count, fibrinogen, and FXIII levels. Anticoagulation regimens should be tailored to a specific patient and personalized based on this complex array of essays.

Why do they leave? University personnel system reforms in China and the impacts on academic staff turnover

ABSTRACT Under pressure to establish world-class universities, higher education institutions are competing for high-level talent and developing increasingly strict performance assessment mechanisms, which may cause academic staff turnover and potential talent loss. This study focuses on academic staff turnover in the context of reforms to the Chinese academic personnel system, featured by the adoption of a tenure track system. By adopting an ecological perspective, this study discerned a systematic influence of personnel system reforms on academic staff turnover across multiple levels of the academic ecosystem, including the social/institutional, organisational, interpersonal, and individual dimensions. The findings unravel possible discourse misalignment at different levels of the academic ecosystem, deepening understanding of the controversies around university personnel reforms. The study contributes to the global literature on academic staff turnover in the context of competition among world-class universities and offer lessons for other countries undergoing similar transformations in their higher education systems.

THE ROLE OF PRIVATE SECTOR INVESTMENT IN THE TOURISM DEVELOPMENT OF NAJAF GOVERNORATE

The contemporary world is witnessing critical economic developments on multiple levels. International productive integration began as a result of the scientific and technological revolution. There is a growing role of some international institutions such as the World Trade Organization, the International Monetary Fund, and the International Bank for Reconstruction and Development. Economic blocs such as the European Union, ASEAN, and NAFTA exist. These developments constitute tributaries that favor globalization, representing the general picture of the current global economy, which is led by advanced capitalist economies.

Belongingness, connectedness & engagement: The impacts of an LGBTQ + residential learning community

University housing can play a significant role in undergraduate students’ college experiences. Unfortunately, many LGBTQ + students face a myriad of harmful experiences on campus, including in campus housing that can negatively impact their belonging and well-being. To address this issue and foster LGBTQ + students’ overall belongingness on campus and well-being, many universities offer LGBTQ + inclusive housing initiatives, including some offering residential learning communities (RLCs). There is a dearth of research on LGBTQ + RLCs’ effectiveness. Through qualitative interviews (n = 9), we examine the inaugural year of an LGBTQ + RLC at large state university in the southern United States. Based on existing literature on the importance of collegiate housing, including research on RLCs highlighting their benefits for students’ belongingness, connectedness, and engagement, we used a directed qualitative content analysis approach to explore the impacts of the LGBTQ + RLC. Consistent with the existing literature about RLCs in general, our findings suggest that the first year of the RLC fostered students’ belongingness, connectedness, and engagement across multiple levels. The RLC did this by offering students opportunities to explore their LGBTQ + identities and build community via programming with one another, which allowed students to feel safe and be their authentic selves.

The apical 70-pS potassium K channel in the thick ascending limb of Henle's loop is a large-conductance Na+-and Cl--activated, KNa1.1-like, channel.

Apical potassium channels are crucial for thick ascending limb (TAL) of Henle's loop transport function. The ROMK (KNCJ1) gene encodes a 30-pS K channel whose loss of function causes the reduced NaCl reabsorption in the TAL associated with Type 2 Bartter's syndrome. In contrast, the molecular basis of a functionally ROMK-related 70-pS K channel is still unclear. The aim of this study was to highlight new specific channel properties that may give insights on its molecular identity. Using the patch-clamp technique on the apical membrane of mouse split-open TAL tubules, we observed that 70-pS K channel activity, but not ROMK channel activity, increases with the internal Na+ and Cl- concentrations, with relative 50 % effective concentrations (EC50) and Hill coefficients (nH) of 40.6 mM (SD 1.65) and 2.4 (SD 0.28) for Na+, and of 29.3 mM (SD 2.35) and 2.2 (SD 0.39) for Cl-. Conversely, 70-pS K channel activity was inhibited by internal K+ with a relative EC50 of 64 mM (SD 13.5) and a nH of 3.5 (SD 2.3), and by internal NH4+ and Ca2+. The reevaluation of channel conductive properties revealed an actual inward conductance of ~ 170 pS, with multiple subconductance levels and an inward rectification, and a substantial permeability to NH4+ ( = 0.2). We conclude that the apical 70-pS K channel in TAL cells is a large-conductance Na+- and Cl--activated potassium channel functionally resembling a KNa1.1 channel and propose that ROMK determines its functional expression possibly at the level of channel protein synthesis or trafficking.

“Tomb of the Philosophers” in Pella, Macedonia Revisited: New Findings on Its Iconography

&#x0D; &#x0D; &#x0D; This article discusses the new findings on the iconography of the two figural friezes painted in the interior of the “Tomb of the Philosophers”, an early Hellenistic, monumental, built cist grave, situated in the east cemetery of Pella, Macedonia. A new technical investigation of the tomb’s wall paintings has allowed the revision of older readings of the two friezes. In the lower, main figural frieze new observations pertain to figure characterization, through features, dress and attributes, as well as to the scene’s setting. The figures of the frieze offer the earliest preserved gathering of intellectuals whose professional insignia cannot be missed, while the celestial globe shown on the west wall appears to be one of the earliest extant representations of the device and the earliest preserved in a funerary environment. The new identification proposed for the monuments shown in the upper, secondary frieze, which represents a horse race, aligns the frieze’s composition with established iconographic schemes of agonistic events, adds multiple levels of symbolism, and ties the Pella wall-paintings more tightly than previously believed with the “Torre Annunziata philosopher mosaic”, Pompeii, and its twin from Sarsina, Umbria. The bonds of astronomy/cosmology with political theory and with aspects of Macedonian royal ideology, in particular, are set in relief. Finally, it is argued that the physical vicinity of the “Tomb of the Philosophers” with the palace of Pella and the royal court informed the mode of burial of a man of thought with favourable relations to his times’ monarchy, as well as his mode of portrayal as “the astronomer” on the west wall, a figure that presents us with a Macedonian iconographic hybrid of a philosopher, resonating the Platonic concept of the “philosopher king”.&#x0D; &#x0D; &#x0D;

Characterisation of Putative Outer Membrane Proteins from Leptospira borgpetersenii Serovar Hardjo-Bovis Identifies Novel Adhesins and Diversity in Adhesion across Genomospecies Orthologs.

Leptospirosis is a zoonotic bacterial disease affecting mammalian species worldwide. Cattle are a major susceptible host; infection with pathogenic Leptospira spp. represents a public health risk and results in reproductive failure and reduced milk yield, causing economic losses. The characterisation of outer membrane proteins (OMPs) from disease-causing bacteria dissects pathogenesis and underpins vaccine development. As most leptospire pathogenesis research has focused on Leptospira interrogans, this study aimed to characterise novel OMPs from another important genomospecies, Leptospira borgpetersenii, which has global distribution and is relevant to bovine and human diseases. Several putative L. borgpetersenii OMPs were recombinantly expressed, refolded and purified, and evaluated for function and immunogenicity. Two of these unique, putative OMPs (rLBL0972 and rLBL2618) bound to immobilised fibronectin, laminin and fibrinogen, which, together with structural and functional data, supports their classification as leptospiral adhesins. A third putative OMP (rLBL0375), did not exhibit saturable adhesion ability but, together with rLBL0972 and the included control, OmpL1, demonstrated significant cattle milk IgG antibody reactivity from infected cows. To dissect leptospire host-pathogen interactions further, we expressed alleles of OmpL1 and a novel multi-specific adhesin, rLBL2618, from a variety of genomospecies and surveyed their adhesion ability, with both proteins exhibiting divergences in extracellular matrix component binding specificity across synthesised orthologs. We also observed functional redundancy across different L. borgspetersenii OMPs which, together with diversity in function across genomospecies orthologs, delineates multiple levels of plasticity in adhesion that is potentially driven by immune selection and host adaptation. These data identify novel leptospiral proteins which should be further evaluated as vaccine and/or diagnostic candidates. Moreover, functional redundancy across leptospire surface proteins together with identified adhesion divergence across genomospecies further dissect the complex host-pathogen interactions of a genus responsible for substantial global disease burden.