Customer Approach Research Articles

A Study on Academic Verification and Correction of Errors in [Introduction of Gisaeng’ History in the Joseon Dynasty : Custom Approach to Sadaebu and Ginyeo] by Dongwook Kim (1966) － Focusing on Errors in the History of Ginyeo in the Joseon Dynasty and Origin of Ginyeo

A Study on Academic Verification and Correction of Errors in [Introduction of Gisaeng’ History in the Joseon Dynasty : Custom Approach to Sadaebu and Ginyeo] by Dongwook Kim (1966) － Focusing on Errors in the History of Ginyeo in the Joseon Dynasty and Origin of Ginyeo

Overcoming Linguistic and Cultural Barriers in English Language Learning: An Exploration of Culturally Responsive Pedagogy

This study investigated the implementation and effectiveness of CRP in English language learning at Cebu Technological University-Tuburan Campus, addressing linguistic and cultural barriers for learners and explored diverse subcultures, including respondents’ religion, family structure, socioeconomic status, and educational attainment. Employing a mixed-methods design, the research utilized surveys and pre-post-tests with thirty-three respondents, and interviews with six informants to gather data. Findings revealed a broad age range, a predominance of female participants, and a religiously influenced demographic. The pre-post-test results demonstrated a significant improvement in overall written communication competencies, highlighting a substantial improvement in the application of morphological concepts in writing essays, coupled with sustained high proficiency in grammar. A multiple regression analysis identifies the varying influences of demographic factors on test scores. Teachers perceived CRP as a catalyst for inclusive education, emphasizing customized approaches aligned with cultural backgrounds. Thus, CRP positively impacts language learning outcomes in diverse educational settings. Recommendations include implementing an action plan to enhance language proficiency and overcome linguistic and cultural barriers in English language learning. Findings contribute to a broader understanding of CRP’s significant application in a culturally diverse educational context.

Truly the best of both worlds: Merging lineage‐specific and universal probe kits to maximize phylogenomic inference

AbstractPremiseHybridization capture kits are now commonly used for reduced representation approaches in genomic sequencing, with both universal and clade‐specific kits available. Here, we present a probe kit targeting 799 low‐copy genes for the plant family Annonaceae.MethodsThis new version of the kit combines the original 469 genes from the previous Annonaceae kit with 334 genes from the universal Angiosperms353 kit. We also compare the results obtained using the original Angiosperms353 kit with our custom approach using a subset of specimens. Parsimony‐informative sites and the results of maximum likelihood phylogenetic inference were assessed for combined matrices using the genera Asimina and Deeringothamnus.ResultsThe Annonaceae799 genes derived from the Angiosperms353 kit have extremely high recovery rates. Off‐target reads were also detected. When evaluating size, the proportion of on‐ and off‐target regions, and the number of parsimony‐informative sites, the genes incorporated from the Angiosperms353 panel generally outperformed the genes from the original Annonaceae probe kit.DiscussionWe demonstrated that the new sequences from the Angiosperms353 probe set are variable and relevant for future studies on species‐level phylogenomics and within‐species studies in the Annonaceae. The integration of kits also establishes a connection between projects and makes new genes available for phylogenetic and population studies.

The impact of visual information in speech perception for individuals with hearing loss: a mini review.

This review examines how visual information enhances speech perception in individuals with hearing loss, focusing on the impact of age, linguistic stimuli, and specific hearing loss factors on the effectiveness of audiovisual (AV) integration. While existing studies offer varied and sometimes conflicting findings regarding the use of visual cues, our analysis shows that these key factors can distinctly shape AV speech perception outcomes. For instance, younger individuals and those who receive early intervention tend to benefit more from visual cues, particularly when linguistic complexity is lower. Additionally, languages with dense phoneme spaces demonstrate a higher dependency on visual information, underscoring the importance of tailoring rehabilitation strategies to specific linguistic contexts. By considering these influences, we highlight areas where understanding is still developing and suggest how personalized rehabilitation strategies and supportive systems could be tailored to better meet individual needs. Furthermore, this review brings attention to important aspects that warrant further investigation, aiming to refine theoretical models and contribute to more effective, customized approaches to hearing rehabilitation.

Creating exceptional guest experiences: the role of engagement and relationship building in hospitality

PurposeThe study seeks to explore the intricate dynamics among customer relationship management (CRM) practices, guest satisfaction and loyalty in the hospitality context. Additionally, it aims to examine the moderating influence of guest engagement on the relationships between CRM practices and guest satisfaction and loyalty.Design/methodology/approachAn integrated theoretical framework is developed by incorporating CRM practices and guest engagement into the satisfaction-loyalty framework. Two research instruments were adapted from the literature to assess the perspectives of customers and employees in the hotel industry in Kashmir. The customer survey measured guest satisfaction, loyalty, and engagement, while the employee survey focused on CRM practices, including key customer focus and CRM organization. Data was collected using a pen-and-paper survey with convenience sampling across 10 qualifying hotels, each classified as 3-star or above. A total of 270 matched responses from guests and employees were obtained and analyzed using descriptive analysis, structural equation modeling (SEM), and moderation analysis with SPSS and AMOS software. The study utilized a rigorous data matching process to ensure reliability, with guest-employee pairs verified and cross-checked with hotel records.FindingsThe results indicate CRM practices play a pivotal role in shaping guest satisfaction and loyalty. Notably, personalization and a targeted customer approach emerged as the most influential factors in enhancing tourist satisfaction. Similarly, prospecting, personalization, and effective knowledge management significantly contributed to visitor loyalty. The establishment of robust relationships is underscored through collaborative active guest engagement. Furthermore, the study highlights the nuanced relationship between satisfaction and loyalty moderated by guest engagement. High levels of guest engagement amplify the positive impact of satisfaction on loyalty, while lower engagement levels attenuate this effect. Moreover, the moderating influence of guest engagement on the relationships between CRM practices and guest satisfaction and CRM practices and guest loyalty was notably strong at elevated guest engagement levels and relatively weaker at lower engagement levels.Research limitations/implicationsWhile the study findings encourage organizations to prioritize customer relationship development, hospitality entities must emphasize the adoption of CRM philosophy and robust guest engagement measures. Actively involving guests in co-creating services can yield incremental benefits in terms of attracting, retaining, and effectively serving guests.Originality/valueThis study introduces novel dimensions to the existing CRM framework within the hospitality context, specifically exploring the impact of hotel-specific elements (personalization and prospecting) on customer satisfaction and loyalty. Furthermore, it innovatively investigates the moderating role of guest engagement in the satisfaction-loyalty relationship, expanding its scope to include the relationships between CRM practices and guest satisfaction and guest loyalty.

Touchless short-wave infrared imaging for dynamic rapid pupillometry and gaze estimation in closed eyes

BackgroundAssessments of gaze direction (eye movements), pupil size, and the pupillary light reflex (PLR) are critical for neurological examination and neuroscience research and constitute a powerful tool in diverse clinical settings ranging from critical care through endocrinology and drug addiction to cardiology and psychiatry. However, current bedside pupillometry is typically intermittent, qualitative, manual, and limited to open-eye cases, restricting its use in sleep medicine, anesthesia, and intensive care.MethodsWe combined short-wave infrared (SWIR, ~0.9-1.7μm) imaging with image processing algorithms to perform rapid (~30 ms) pupillometry and eye tracking behind closed eyelids. Forty-three healthy volunteers participated in two experiments with PLR evoked by visible light stimuli or directing eye movements towards screen targets. Imaging was performed simultaneously on one eye closed, and the other open eye serving as ground truth. Data analysis was performed with a custom approach quantifying changes in brightness around the pupil area or with a deep learning U-NET-based procedure.ResultsHere we show that analysis of SWIR imaging data can successfully measure stimulus-evoked PLR in closed-eye conditions, revealing PLR events in single trials and significant PLRs in nearly all individual subjects, as well as estimating gaze direction. The neural net-based analysis could successfully use closed-eye SWIR data to recreate estimates of open-eye images and assess pupil size.ConclusionsContinuous touchless monitoring of rapid dynamics in pupil size and gaze direction through closed eyes paves the way for developing devices with wide-ranging applications, fulfilling long-standing goals in clinical and research fields.

IMPACT OF INNOVATION ON ECONOMIC GROWTH IN BALKAN COUNTRIES

Innovation plays a crucial role in the daily activities of economic units and its impact extends to the macroeconomic level as well. After the last pandemic, firms and even nations are aiming to adopt the new reality. They are employing advanced technology to develop innovative products and approaches for customers and markets. This study analyzes the impact of innovation on economic growth in Balkan Countries by using annual data for the period between 2011 and 2022. This study uses the individual pillars of the Global Innovation Index as the explanatory variables of GDP Growth rate. Through a panel data analysis, the findings of the study suggest that creative output and infrastructure have a positive significant effect on the GDP growth rate, while the effect of institutions is negative. The test employed failed to prove any impact of other pillars of innovation on economic growth meaning that the impact of other pillars is still insignificant. The findings of this study may serve policymakers to work on the direction of enhancing the impact of all innovation pillars on the economic growth rate.

잠재프로파일 분석(LPA)을 활용한 유치원 교사의 교사-유아 상호작용 유형 및 예측요인

Objectives The purposes of this study are to explore latent profiles of kindergarten teachers with teacher-children interaction (T-CI) and to analyse the relationship between teachers' personal factors and T-CI profiles. Methods The survey for data collection was conducted from January 10 to January 31, 2024, targeting 409 teachers working at kindergartens in the metropolitan area. We composed T-CI of kindergarten teacher into emotional, verbal, and behavioral interaction, and analyzed latent profiles according to their T-CI level. The types of T-CI profiles derived from the latent profile analysis were identified, and a multinomial logistic regression was performed to analyze the effect of kindergarten teachers' personal factors on the T-CI profiles. Results The results revealed that we classified four T-CI profiles: the ‘passive interaction type’, which had very low levels of emotional, verbal, and behavioral interaction related to T-CI, was 5.62% of all kindergarten teachers, the ‘non-verbal interaction type’, which had relatively low emotional, verbal, and behavioral interaction levels, was 43.03% of all, the ‘affective interaction-centered type’, which had average level of each competence, was 26.41% of all, the ‘proactive interaction type’, which had relatively high level of each competence, was 24.94% of all. As a result of analyzing the effect of the teacher's personal factors on the T-CI profile, it was found that the teacher's age, education, and experience had a significant effect on the T-CI profile. Conclusions Based on the results, this study suggests that there are various groups according to the level of T-CI within the kindergarten teacher group, rather than considering the kindergarten teacher as the ‘cohort group’ in relation to T-CI. We also suggest that customized approach considering the profile characteristics related to T-CI is required.

Revolutionizing Brain Tumor Therapy: Unleashing the Potential of Phytosomal Nanoparticles

Unleashing the potential of phytosomal nanoparticles in brain tumor therapy. This article discusses the transforming potential of phytosomal nanoparticles in the fight against brain tumors, delving into this novel field. When the complex problems of traditional medicine are considered, the special qualities of phytosomal nanoparticles show great potential. Because of the nanoparticles’ ability to cross the blood-brain barrier, it is possible to transport drugs specifically to the brain, which solves a long-standing issue with current treatments. This accuracy reduces off-target effects, providing a crucial therapeutic benefit in a sensitive brain environment. Phytosomal formulations are further distinguished by their lower toxicity and biocompatibility, which establishes them as a safer substitute for several traditional medicines. These natural compound-based nanoparticles fit in with the medical paradigm shift towards personalized and integrative care. The versatility of phytosomal formulations opens up new avenues for personalized medicine in the treatment of brain tumors by enabling customized approaches based on the molecular profiles of individual tumors.Phytosomal nanoparticles provide a unique combination of natural pharmacopeia and state-of-the-art nanotechnology, which presents opportunities for novel therapeutic approaches beyond their clinical usefulness. The consequences could change the way brain tumors are treated as research and clinical trials are conducted. In order to overcome obstacles related to scalability, legal frameworks, and long-term safety assessments, cooperation between researchers, physicians, and legislators is essential. The full potential of phytosomal nanoparticles in the fight against brain tumors will be realized through ongoing research into how they might work in concert with current therapies and the creation of evidence-based guidelines. This article essentially presents a paradigm shift that will have a significant impact on cancer therapy in the future. It is the result of the convergence of innovative ideas inspired by nature with state-of-the-art nanotechnology.

Does IT culture archetypes affect the perceived usefulness and perceived ease of use of e-banking services? A multistage approach of Algerian customers

PurposeThis paper explores the effect of individual information technology culture archetypes on the perceived ease of use and perceived usefulness of e-banking customers.Design/methodology/approachA multi-stage approach was used. First, a cluster analysis was performed (based on a survey of 360 Algerian bank customers). Second, a multiple regression analysis was assessed to test the hypotheses.FindingsThe cluster analysis reveals five IT cultural groups for e-banking customers: dangerous, dodgers, compliant dodgers, disenchanted and addicted customers. A mapping of these archetypes is then proposed and tested. The multiple regression analysis shows that the dangerous IT culture archetype exhibit the highest level of perceived ease of use and perceived usefulness beliefs when the dodgers show the lowest one.Research limitations/implicationsThis study is limited in that it adopts a relatively small convenience sampling in Northwest Algeria. Furthermore, enriching the model with other antecedents could be of use. However, it clarifies the issue of whether the same IT culture archetypes can be found in different contexts and show that the IT cultural archetypes list is not exhaustive.Practical implicationsThe study contributes to the existing knowledge on e-banking adoption in developing countries and provides Algerian banks with some crucial elements.Originality/valueThis paper is one of the first to investigate the impact of IT culture archetypes on e-banking adoption. It (1) identified five IT culture archetypes, (2) proposed a mapping of these archetypes, (3) reinforces the use of the spinning top model and (4) goes further as it applies it in a new context (developing country) and industry (banking).

Electro-osmotic Flow Generation via a Sticky Ion Action.

Selective transport of ions through nanometer-sized pores is fundamental to cell biology and central to many technological processes such as water desalination and electrical energy storage. Conventional methods for generating ion selectivity include placement of fixed electrical charges at the inner surface of a nanopore through either point mutations in a protein pore or chemical treatment of a solid-state nanopore surface, with each nanopore type requiring a custom approach. Here, we describe a general method for transforming a nanoscale pore into a highly selective, anion-conducting channel capable of generating a giant electro-osmotic effect. Our molecular dynamics simulations and reverse potential measurements show that exposure of a biological nanopore to high concentrations of guanidinium chloride renders the nanopore surface positively charged due to transient binding of guanidinium cations to the protein surface. A comparison of four biological nanopores reveals the relationship between ion selectivity, nanopore shape, composition of the nanopore surface, and electro-osmotic flow. Guanidinium ions are also found to produce anion selectivity and a giant electro-osmotic flow in solid-state nanopores via the same mechanism. Our sticky-ion approach to generate electro-osmotic flow can have numerous applications in controlling molecular transport at the nanoscale and for detection, identification, and sequencing of individual proteins.

Cardio-oncology rehabilitation: are we ready?

Cardio-oncology rehabilitation (CORE) is not only an essential component of cancer rehabilitation but also a pillar of preventive cardio-oncology. Cardio-oncology rehabilitation is a comprehensive model based on a multitargeted approach and its efficacy has been widely documented; when compared with an 'exercise only' programme, comprehensive CORE demonstrates a better outcome. It involves nutritional counselling, psychological support, and cardiovascular (CV) risk assessment, and it is directed to a very demanding population with a heavy burden of CV diseases driven by physical inactivity, cancer therapy-induced metabolic derangements, and cancer therapy-related CV toxicities. Despite its usefulness, CORE is still underused in cancer patients and we are still at the dawning of remote models of rehabilitation (tele-rehabilitation). Not all CORE is created equally: a careful screening procedure to identify patients who will benefit the most from CORE and a multidisciplinary customized approach are mandatory to achieve a better outcome for cancer survivors throughout their cancer journey. The aim of this paper is to provide an updated review of CORE not only for cardiologists dealing with this peculiar population of patients but also for oncologists, primary care providers, patients, and caregivers. This multidisciplinary team should help cancer patients to maintain a healthy and active life before, during, and after cancer treatment, in order to improve quality of life and to fight health inequities.

Learning in a digital fabrication course on building tangible artefacts

AbstractThis paper examines how students' ideas evolve into physical prototypes within a digital fabrication design course. Examining the materials used, customization approaches, iterations, and team dynamics of 26 student projects reveals interplays between ideas, available tools, materials and constraints. Findings show the predominance of techniques, design preferences, concept refinement, and teamwork challenges. The implications highlight the value of hands-on iteration for alignment with reality and the need to support collaboration skills alongside technical prototype development.

A location-inventory-pricing model for a three-level supply chain distribution network

This article applies competition-based pricing method to a location-inventory-pricing problem, something which had not yet been investigated as of this study. It reveals that examining the three problems of location, inventory and pricing in an integrated and simultaneous manner can be the best approach to optimize the supply chain (SC) and increase the profitability of its companies. The investigated three-level SC distribution network model includes one supplier, several distribution centers (DCs), and several customers. The model is structured in form of a mixed integer nonlinear programming to maximize the long-term average profit of the distribution network. It considers constraints of inventory capacity along with continuous review inventory policy in each open DC. For its DCs’ retail price determination, two competing pricing approaches of higher than and lower than the average price of competitors have been used. The approach has been investigated on several potential DCs and customers and its numerical results show that retail price from the DCs to the customers is dependent on the average price of the market and its fluctuations. The major finding of this research is the fact that the type of demand function can have a substantial effect on the obtained results in the location-inventory-pricing model and greatly influence the amount of the profit of each company. Its applied strategy along with innovative competition-based pricing approach and projection of customers’ demand via linear and exponential functions show how companies can increase their profit through price adjustment and demand projection.

MetaGWASmanager: a toolbox for an automated workflow from phenotypes to meta-analysis in GWAS consortia.

This article introduces the metaGWASmanager, which streamlines genome-wide association studies within large-scale meta-analysis consortia. It is a toolbox for both the central consortium analysis group and participating studies to generate homogeneous phenotypes, minimize unwanted variability from inconsistent methodologies, ensure high-quality association results, and implement time-efficient quality control workflows. The toolbox features a plug-in-based approach for customization of association testing. The metaGWASmanager toolbox has been successfully deployed in both the CKDGen and MetalGWAS Initiative consortia across hundreds of participating studies, demonstrating its effectiveness in GWAS analysis optimization by automating routine tasks and ensuring the value and reliability of association results, thus, ultimately promoting scientific discovery. We provide a simulated data set with examples for script customization so that readers can reproduce the pipeline at their convenience. GitHub: https://github.com/genepi-freiburg/metaGWASmanager.

Research on the Construction of Rural Living Circles in Hilly and Gully Areas of the Loess Plateau: A Case Study of Guanghe County

Ue and practical significance for achieving equitable urban and rural infrastructure within a region and promoting integrated urban-rural development. Employing landscape ecology theory and GIS spatial analysis techniques, this paper comprehensively analyzes the construction of rural living circles in Guanghe County, taking into account the convergence characteristics of residents' daily life trajectories and biological migration movements. The results indicate: (1) Within the "resistance surface" of Guanghe County, easily accessible areas and generally accessible areas account for 69.92% of the total area, while relatively difficult-to-access and hard-to-access areas constitute 30.08% of the total area, with weaker development potential in these regions. (2) Based on the results of the MCR model, a methodological pathway for identifying rural living circles is established. This includes delineating a "four-level, three-category" system for rural living circles in Guanghe County, and proposing a "mandatory allocation + selective allocation" modular customization approach to precisely allocate public service facilities. (3) Building upon the concept of travel "resistance surfaces," the study introduces transportation resistance coefficients to delineate different scales of living circles between river valley plain areas and mountainous areas. The research findings provide a basis for the construction of rural living circles in hilly and gully areas of the Loess Plateau.

Texture tailored through combination of molten pool morphology and scanning path in laser additive manufacturing of alloy 718

Texture control is vital for the performance improvement of laser additive manufacturing parts. In the current manuscript, the effect of molten pool morphology and scanning path on texture have been studied for Inconel 718 sample fabricated by directed energy deposition (DED). The molten pool formed at a pulse period of 20 ms is shallower than that formed at a pulse period of 100 ms. The V-shaped grains (<110> // BD) are generated in the overlapping area for all samples. While Z-type grains (<110> // SD) are generated in the molten pool center for the sample with bidirectional scanning path at a pulse period of 20 ms. The unique texture with V-shaped grains (<110> // BD) in the overlapping area and Z-type grains (<110> // SD) in the molten pool center was firstly observed in the current manuscript. The value of Taylor factor of Z-type grains (<110> // SD) is larger than that of V-shaped grains (<110> // BD). Meanwhile, the effect of different heat treatments on the texture evolution was analyzed. This research provides a promising approach for texture customization, which can also increase the understanding of texture evolution.

Design element extraction of plantar pressure imaging employing meta-learning-based graphic convolutional neural networks

Segmenting plantar pressure images intelligently can provide valuable insight for people with high blood pressure, making bespoke footwear requirements possible and resulting in more comfortable shoe designs. It is, however, difficult to extract design elements from a segmented image dataset. To address this challenge, we propose an ML-GNN model that segments plantar pressure images using metal-earning. The first part of the paper presents a method for extracting image features that reduce the complexity of the ML-GNN algorithm. To create the network structure, we propose optimization meta-based learning. Using a meta-learning-based graphic neural network, we enhance our mask-based CNN prediction model with VGG16 and CNN layers. We pre-processed the plantar pressure dataset using pressure-sensing data acquisition and compared the results. By defining standard image segmentation indices, we demonstrate the high effectiveness of our research. We have developed an ML-GNN model that improves the segmentation accuracy of plantar pressure images and can also be applied to other sensor image datasets. Through our shoe-last customization approach, we enable the shoe industry to manufacture shoes more efficiently, particularly for people with specific healthcare needs who require bespoke shoe designs. Our findings demonstrate the potential of intelligent image segmentation to advance the field of footwear design and improve the lives of people with specific health requirements.

Abstract 6224: Drop-like deformation of nuclei in cancer patient tissue

Abstract In this study, we investigated nuclear deformations in cancer tissues and their clinical relevance to diagnostics. Introduction: Cancers are graded by pathologists examining biopsy slides stained with hematoxylin and eosin for factors including nuclear atypia, which can include features like lobules, invaginations, large nuclear size, and prominent nucleoli. While the importance of nuclear atypia has been known for centuries, its cause remains unclear. Nuclear shaping has been studied extensively in vitro, leading to the liquid drop model of nuclear shaping, which states that nuclear shape changes can occur due to excess area in the form of wrinkles or folds in the lamina. When the lamina becomes fully taut, the nucleus reaches a limiting steady shape. Wrinkles allow the nuclear shape to mirror the cell shape such as in invading cancer cells. The applicability of this model to nuclei in cancer tissues from human patients is untested. Here, tissues were stained for nuclear lamina proteins to test for the presence of excess area in the lamina. Diagnostic relevance of the drop model was assessed by quantitative Fourier analysis of high-resolution images of lamin-stained nuclei. Methods: Deidentified patient tissues from breast, colon, head and neck, and skin were immunostained for lamin B1 and imaged at high resolution (60X, 1.5 NA). Nuclei were then roughly segmented by the deep learning program Cellpose, followed by segmentation with a custom approach that sensitively detects micron-scale variations in the laminar contour. An Elliptical Fourier Analysis was performed to quantify nuclear irregularity by describing nuclear shape with a series of elliptical harmonics. More irregular nuclei are described by larger Fourier coefficients at higher frequencies. Results: Folds and wrinkles in the nuclear lamina were observed in healthy tissue from all four tissue types studied, indicating the presence of excess area in the lamina. The presence of irregular nuclear shape including wrinkling/folds in the lamina was quantified with the Elliptical Fourier Coefficient (EFC) ratio. Posterior probability analysis related EFC ratio to tumor grade to assess the clinical value of the excess area found in the nuclear lamina. This revealed cancer-type dependent trends between EFC ratio and tumor grade. Conclusions: Observations of wrinkling/folds in the nuclear lamina in healthy and cancerous tissue are consistent with the liquid drop model of nuclear deformation. Quantification of nuclear lamina wrinkling with the EFC ratio, along with other nuclear shape parameters, can be a powerful approach for computer-based, explainable, clinical grading. Our findings reveal a fundamental principle of nuclear deformation in cancer tissues and suggest a new approach for improving the accuracy in cancer grading. Citation Format: Christina R. Dubell, Ting-Ching Wang, Ishita Singh, Daniel G. Rosen, Saptarshi Chakraborty, Tanmay P. Lele. Drop-like deformation of nuclei in cancer patient tissue [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6224.

Pan-evolutionary and regulatory genome architecture delineated by an integrated macro- and microsynteny approach.

The forthcoming massive genome data generated by the Earth BioGenome Project will open up a new era of comparative genomics, for which genome synteny analysis provides an important framework. Profiling genome synteny represents an essential step in elucidating genome architecture, regulatory blocks/elements and their evolutionary history. Here we describe PanSyn, ( https://github.com/yhw320/PanSyn ), the most comprehensive and up-to-date genome synteny pipeline, providing step-by-step instructions and application examples to demonstrate its usage. PanSyn inherits both basic and advanced functions from existing popular tools, offering a user-friendly, highly customized approach for genome macrosynteny analysis and integrated pan-evolutionary and regulatory analysis of genome architecture, which are not yet available in public synteny software or tools. The advantages of PanSyn include: (i) advanced microsynteny analysis by functional profiling of microsynteny genes and associated regulatory elements; (ii) comprehensive macrosynteny analysis, including the inference of karyotype evolution from ancestors to extant species; and (iii) functional integration of microsynteny and macrosynteny for pan-evolutionary profiling of genome architecture and regulatory blocks, as well as integration with external functional genomics datasets from three- or four-dimensional genome and ENCODE projects. PanSyn requires basic knowledge of the Linux environment and Perl programming language and the ability to access a computer cluster, especially for large-scale genomic comparisons. Our protocol can be easily implemented by a competent graduate student or postdoc and takes several days to weeks to execute for dozens to hundreds of genomes. PanSyn provides yet the most comprehensive and powerful tool for integrated evolutionary and functional genomics.