Focal Areas Research Articles

Spectral histology of hair and hair follicle using infrared microspectroscopy.

Today, there is only limited knowledge of the spatial organization of hair chemistry. Infrared microspectroscopy is a well-established tool to provide such information and has significantly contributed to this field. In this study, we present new results combining multiple infrared microspectroscopy methods at different length scales to create a better chemical histology of human hair, including the hair follicle, hair shaft, hair medulla and hair cuticle. We used hyperspectral IR imaging & spectroscopy (HIRIS) and synchrotron-radiation FTIR microspectroscopy (SR-μFTIR) to measure transversal hair sections and SR-μFTIR to obtain high-resolution maps of longitudinal sections from the hair shaft and from the hair follicle. We used optical photothermal IR microspectroscopy (OPTIR) to analyse the cuticle surface of intact hairs. By mapping longitudinal sections of the human hair follicle with confocal SR-μFTIR, we report the first demonstration of glycogen presence in the outer root sheath of the hair follicle by spectroscopy, and its quantification at the micron scale. Spectral maps, combined with machine learning-based analysis, enabled us to differentiate the various layers of the hair follicle and provided insights into the chemical changes that occur during hair formation in the follicle. Using HIRIS and SR-μFTIR to analyse the hair medulla in transversal sections of human hairs, we report here, for the first time by vibrational spectroscopy methods, the detection of unsaturated lipids at very low concentrations in the medulla. By analysing longitudinal sections of the hair shaft with SR-μFTIR, we found that calcium carboxylates are present in large regions of the hair cuticle, and not just in small focal areas as previously thought. We then use OPTIR to analyse the hair cuticle of intact hairs at submicron resolution without sectioning and report the distribution of calcium carboxylates at the surface of intact hair for the first time. These new findings illustrate the potential of infrared microspectroscopy for imaging the chemical composition of human hair and may have implications for biomedical research or cosmetology.

Bibliometric Analysis of Insularity in the European Union

The conceptualization of insularity in the context of islands has been widely studied and debated, encompassing both geographical and identity aspects. The academic discussion on the definition of insularity and isolation in the context of islands remains a current topic, along with the economic, social, legal and environmental challenges faced by insular regions. This study aims to deepen the conceptual framework of insularity and structure its issues from various scientific perspectives through quantitative bibliometric analysis. Key focus areas and research gaps have been identified, including the need for enhanced economic policies, better marine resource management, more comprehensive urban development research and improved data on social and political issues. The conclusions emphasize the importance of prioritizing intervention areas and specific policies to address the unique challenges faced by insular regions in terms of sustainable development.

Childhood Cancers; Diagnostic Challenges in Sub-Sahara Africa

Childhood cancers pose a significant public health challenge in sub-Saharan Africa due to late diagnoses, limited treatment options, and poor long-term survivorship. This paper aims to describe the key childhood cancers affecting the region, explore barriers to diagnosis and treatment, and propose potential solutions. The most common childhood cancers in Nigeria and other sub-Saharan countries include leukemia, brain tumors, lymphomas such as Burkitt's lymphoma, and solid tumors like neuroblastoma and Wilms' tumor. However, lack of diagnostic capacity, scarce chemotherapy resources, and high costs frequently delay diagnosis and prevent optimal treatment. Poverty is also associated with worse survival outcomes for pediatric cancer patients. Solving this crisis requires coordinated, multi-pronged efforts. Areas of focus include establishing childhood cancer surveillance and control policies, training primary providers to recognize early signs and symptoms, strengthening referral networks, increasing pediatric oncology services in underserved areas, expanding research on childhood cancers unique to the region, and enhancing financial access to treatment. With government support for childhood cancer programs and global partnerships to address shortages in skilled staff and technologies, survival rates have the potential to significantly improve for Africa's children with cancer. Keywords: Childhood cancer, malignancy, Diagnosis, Challenges.

Trends and prospects in nursing care for diabetic foot: A bibliometric analysis from 2003 to 2023

BackgroundsDiabetic foot (DF) is a globally significant concern, with complications like diabetic foot ulcers (DFUs) posing major challenges despite medical advancements. Effective nursing strategies are crucial to preventing DF progression and reducing disability risk. However, nursing research in DF care is fragmented, necessitating a comprehensive bibliometric analysis to identify key trends, influential contributors, and critical research areas. PurposeThis study explored current trends in nursing methods for DF care and their impact on patient outcomes, utilizing CiteSpace, VOSviewer, and Bibliometrix to identify key contributors, influential countries, and noteworthy topics, aiming to provide valuable insights for healthcare professionals and researchers in the field. MethodsRelevant publications from the Web of Science (WOS) Core Collection Science Citation Index Expanded were retrieved for the period between 2003 and 2023. We included peer-reviewed original articles or reviews related to diabetic foot (DF) and nursing. The following criteria were used for exclusion: ① conference abstracts or corrigendum documents, ② unpublished articles, ③ repeated publications, ④ unrelated articles, ⑤ case reports, and ⑥ qualitative studies. CiteSpace was employed to identify top authors, institutions, countries, keywords, co-cited authors, journals, references, and research trends. VOSviewer was used to generate a network of authors, journals, and references. Bibliometrix was utilized to create maps of cooperating countries and keyword frequency charts, as well as a Sankey diagram illustrating the relationship between authors, keywords, and countries. ResultsA total of 305 relevant articles were included in this study. The research pertaining to nursing aspects of diabetic foot care exhibited a noticeable upward trend. The analysis in this study revealed that “amputation" held the highest centrality, indicating a critical area of focus in nursing interventions to prevent severe outcomes. “Diabetic foot ulcer" ranked first in terms of citation rate, emphasizing the ongoing challenges in managing DFUs through nursing care. In recent years, there was a shift in focus towards keywords such as “pressure ulcers", “burden", and “chronic wound" highlighting the evolving priorities in nursing research to address complex wound care, patient burden, and long-term management strategies. ConclusionsThe current primary research focuses in nursing care for diabetic foot (DF) include wound management, offloading techniques, sensory protection, anti-infective treatment, education and self-management, and multidisciplinary teamwork. Future research should prioritize developing innovative nursing interventions tailored to individual patient needs, integrating advanced technologies like telemedicine and wearable devices for continuous monitoring, and exploring the psychological aspects of DFU management to improve patient adherence and outcomes. Additionally, more longitudinal studies are needed to assess the long-term effectiveness of various nursing strategies on patient quality of life.

Balancing Performance and Interpretability in Medical Image Analysis: Case study of Osteopenia.

Multiple studies within the medical field have highlighted the remarkable effectiveness of using convolutional neural networks for predicting medical conditions, sometimes even surpassing that of medical professionals. Despite their great performance, convolutional neural networks operate as black boxes, potentially arriving at correct conclusions for incorrect reasons or areas of focus. Our work explores the possibility of mitigating this phenomenon by identifying and occluding confounding variables within images. Specifically, we focused on the prediction of osteopenia, a serious medical condition, using the publicly available GRAZPEDWRI-DX dataset. After detection of the confounding variables in the dataset, we generated masks that occlude regions of images associated with those variables. By doing so, models were forced to focus on different parts of the images for classification. Model evaluation using F1-score, precision, and recall showed that models trained on non-occluded images typically outperformed models trained on occluded images. However, a test where radiologists had to choose a model based on the focused regions extracted by the GRAD-CAM method showcased different outcomes. The radiologists' preference shifted towards models trained on the occluded images. These results suggest that while occluding confounding variables may degrade model performance, it enhances interpretability, providing more reliable insights into the reasoning behind predictions. The code to repeat our experiment is available on the following link: https://github.com/mikulicmateo/osteopenia .

Life with pets study: lower income veterinary clients' perception of pets' quality of life

Perception of quality of life for cats and dogs of low-income Spanish and English-speaking veterinary clients attending problem focused or routine veterinary visits is an important area of focus for community based veterinary service providers. Using a qualitative approach, 50 New York City based American Society for the Prevention of Cruelty to Animals (ASPCA) veterinary clients completed semi-structured interviews as well as a survey about their perception of life with their pets. Veterinary clients shared both human-animal bond (HAB) related and quality of life (QoL) related factors in their daily experience of life with their pets. Results indicated that this demographic perceives QoL similarly to previous QoL research that either does not report sample demographics or reports sample demographics with more affluence. Moreover, 60% of qualitative excerpts included both HAB and QoL themes and 40% were discretely HAB or QoL. An analog single item 10-point scale measuring veterinary client perception of their pets QoL did not differentiate between sample demographics at a statistically significant level. Finally, pet QoL literature has not traditionally reflected diverse demographic identities of veterinary clients or widely included reliable and valid measures of the human-animal bond (HAB). These results support the importance of measuring the HAB when researching pet QoL and provide evidence that lower-income Spanish and English-speaking veterinary clients are similarly bonded and attentive to their pets as other demographics.

Innovative strategies for managing hallucinations by exploring effects of tDCS on source monitoring abilities

This randomised, crossover, sham-controlled study explored the neural basis of source-monitoring, a crucial cognitive process implicated in schizophrenia. Left superior temporal gyrus (STG) and dorsolateral prefrontal cortex (DLPFC) were the key focus areas. Thirty participants without neurological or psychological disorders underwent offline sham and active tDCS sessions with specific electrode montage targeting the left STG and DLPFC. Source-monitoring tasks, reality monitoring (Hear-Imagine), internal source-monitoring (Say-Imagine), and external source monitoring (Virtual–Real) were administered. Paired t-test and estimation statistics was performed with Graphpad version 10.1.0. The Benjamini–Hochberg procedure was employed to control the false discovery rate in multiple hypothesis testing. A significant improvement in internal source monitoring tasks (p = 0.001, Cohen's d = 0.97) was observed, but reality monitoring tasks demonstrated moderate improvement (p = 0.02, Cohen's d = 0.44). The study provides insights into the neural mechanisms of source monitoring in healthy individuals and proposes tDCS as a therapeutic intervention, laying the foundation for future studies to refine tDCS protocols and develop individualized approaches to address source monitoring deficits in schizophrenia.

Socket Array Irregularities and Wing Membrane Distortions at the Eyespot Foci of Butterfly Wings Suggest Mechanical Signals for Color Pattern Determination

Eyespot foci on butterfly wings function as organizers of eyespot color patterns during development. Despite their importance, focal structures have not been examined in detail. Here, we microscopically examined scales, sockets, and the wing membrane in the butterfly eyespot foci of both expanded and unexpanded wings using the Blue Pansy butterfly Junonia orithya. Images from a high-resolution light microscope revealed that, although not always, eyespot foci had scales with disordered planar polarity. Scanning electron microscopy (SEM) images after scale removal revealed that the sockets were irregularly positioned and that the wing membrane was physically distorted as if the focal site were mechanically squeezed from the surroundings. Focal areas without eyespots also had socket array irregularities, but less frequently and less severely. Physical damage in the background area induced ectopic patterns with socket array irregularities and wing membrane distortions, similar to natural eyespot foci. These results suggest that either the process of determining an eyespot focus or the function of an eyespot organizer may be associated with wing-wide mechanics that physically disrupt socket cells, scale cells, and the wing membrane, supporting the physical distortion hypothesis of the induction model for color pattern determination in butterfly wings.

Clinical Applications of Exosomes: A Critical Review

Exosomes, small membrane-bound vesicles secreted by cells, have gained significant attention for their therapeutic potential. Measuring 30–100 nm in diameter and derived from various cell types, exosomes play a crucial role in intercellular communication by transferring proteins, lipids, and RNA between cells. This review analyzes existing literature on the clinical applications of exosomes. We conducted a comprehensive search of peer-reviewed articles and clinical trial data to evaluate the benefits, limitations, and challenges of exosome-based therapies. Key areas of focus included regenerative medicine, cancer therapy, gene therapy, and diagnostic biomarkers. This review highlights the vast clinical applications of exosomes. In regenerative medicine, exosomes facilitate tissue repair and regeneration. In cancer therapy, exosomes can deliver therapeutic agents directly to tumor cells. In gene therapy, exosomes serve as vectors for gene delivery. As diagnostic biomarkers, they are useful in diagnosing various diseases. Challenges such as the isolation, purification, and characterization of exosomes were identified. Current clinical trials demonstrate the potential of exosome-based therapies, though they also reveal significant hurdles. Regulatory issues, including the need for standardization and validation of exosome products, are critical for advancing these therapies. While significant progress has been made in understanding exosome biology, further research is essential to fully unlock their clinical potential. Addressing challenges in isolation, purification, and regulatory standardization is crucial for their successful application in clinical practice. This review provides a concise overview of the clinical applications of exosomes, emphasizing both their therapeutic promise and the obstacles that need to be overcome.

Neural interval‐censored survival regression with feature selection

AbstractSurvival analysis is a fundamental area of focus in biomedical research, particularly in the context of personalized medicine. This prominence is due to the increasing prevalence of large and high‐dimensional datasets, such as omics and medical image data. However, the literature on nonlinear regression algorithms and variable selection techniques for interval‐censoring is either limited or nonexistent, particularly in the context of neural networks. Our objective is to introduce a novel predictive framework tailored for interval‐censored regression tasks, rooted in Accelerated Failure Time (AFT) models. Our strategy comprises two key components: (i) a variable selection phase leveraging recent advances on sparse neural network architectures; (ii) a regression model targeting prediction of the interval‐censored response. To assess the performance of our novel algorithm, we conducted a comprehensive evaluation through both numerical experiments and real‐world applications that encompass scenarios related to diabetes and physical activity. Our results outperform traditional AFT algorithms, particularly in scenarios featuring nonlinear relationships.

Impact of Gluten-Free and Casein-Free Diet on Behavioural Outcomes and Quality of Life of Autistic Children and Adolescents: A Scoping Review

Background: Gluten- and casein-containing foods could aggravate the symptoms of children and adolescents with autism spectrum disorder (ASD), and subsequently impact their quality of life. However, there is a mixed opinion among researchers concerning the impact of alternative diet on reducing ASD symptoms. Objective: This scoping review aimed at examining the impact of the “gluten-free, casein-free” (GFCF) diet on health outcomes and the quality of life among autistic children and adolescents. Methods: A scoping review of the literature was performed following the Joanna Briggs Institute (JBI) guidelines. Four databases, including EbscoHost, Medline, CINAHL, and ProQuest, were used to obtain subject-specific studies relevant to the research question and published between July 2013 and March 2024. A comprehensive search using keywords such as “autism spectrum disorder”, “gluten-free diet”, and “casein-free diet” was conducted to obtain articles related to the research focus area. Only full-text, peer-reviewed, written in English articles were selected. Data extraction and data analysis were performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-extension to Scoping Review (PRISMA-ScR) protocol. Results: From the initial 586 studies, a total of 27 articles were included in the final analysis of the review. The thematic analysis included “GFCF diet and improvement of the core autistic symptoms”, “the gut–brain link”, “dietary interventions and autism”, “possible side effects due to the GCFC diet”, and “inconclusive studies and mixed opinions”. A majority of the studies showed a positive effect of the GFCF diet on a variety of autistic symptoms, including positive changes in cognitive skills, behaviour, and gastrointestinal symptoms, while some showed conflicting evidence. Conclusions: The currently available evidence on the impact of the “GFCF” diet on the quality of life of autistic children and adolescents may warrant potentially effective interventions for alleviating symptoms of autism spectrum disorders. However, this scoping review highlights the need for more research to provide more reliable evidence on the health outcomes and quality of life of ASD sufferers to guide practice.

Principles in the Development of Contemporary Treatment of Childhood Malignancies: The First 75 Years.

Over the last 75 years, pediatric cancer has gone from nearly universally fatal, to having a >80% chance of long-term survival. Below we share highlights in this 75-year history, beginning with the "birth" of chemotherapy in treating childhood leukemia, through the development of multiagent chemotherapy, risk-stratified therapy, the use of molecular strategies in diagnosis and treatment, and adapting treatment to the needs of particularly vulnerable patient groups such as adolescents and young adults (AYAs). While pediatric leukemia treatment demonstrates the ever-improving cures achieved through iterative incorporation of novel discoveries, this experience is contrasted with that of osteosarcoma, where scientific advances made over recent decades have yet to be translated into meaningful improvements in long-term survival. We conclude with a brief overview of current areas of focus, including precision medicine, immunotherapy, and other treatment advancements, yet describe the need to couple these scientific breakthroughs with consideration of equitable access and evaluation of the long-term impacts of these "newer" therapies in survivorship. Substantial further work is needed to achieve our goal of curing all children with cancer as harmlessly as possible.

Collaborative Networks: Integrating Blockchain for Enhanced Trust and Transparency

Blockchain technology has become a disruptive force in many different industries because it provides unparalleled security, transparency, and efficiency. In the context of cooperative networks, Blockchain's decentralized architecture provides a solid basis for enhancing trust, streamlining processes, and fostering innovation. This chapter examines how Blockchain can be used with cooperative networks and how it could fundamentally alter the way entities interact and communicate. Important areas of focus include Blockchain's technological foundations, applications in collaborative environments, and case studies that highlight its impacts. By examining the challenges and opportunities presented by this convergence, we intend to provide a comprehensive understanding of how Blockchain can revolutionize cooperative ecosystems. The field of scholarly communication is undergoing a significant transition due to technological advancements. This chapter looks at how blockchain technology and collaborative networks could alter contemporary living. We examine the basic shortcomings of the existing centralized model and discuss how the core concepts of immutability, transparency, and decentralization found in Blockchain technology can assist in resolving these problems. This paper explores the relationship between collaborative networks and blockchain technology. We start by outlining the fundamental ideas behind Blockchain technology and how it has developed. The use of Blockchain is then examined in a variety of cooperative settings, with its advantages and possible drawbacks discussed. We demonstrate the real-world effects of Blockchain-enabled collaborative networks across various industries with a number of case studies.

A Scoping Review of Tailoring in Pediatric Obesity Interventions.

Background: Families with children who have or are at risk for obesity have differing needs and a one-size-fits-all approach can negatively impact program retention, engagement, and outcomes. Individually tailored interventions could engage families and children through identifying and prioritizing desired areas of focus. Despite literature defining tailoring as individualized treatment informed by assessment of behaviors, intervention application varies. This review aims to exhibit the use of the term "tailor" in pediatric obesity interventions and propose a uniform definition. Methods: We conducted a scoping review following PRISMA-ScR guidelines among peer-reviewed pediatric obesity prevention and management interventions published between 1995 and 2021. We categorized 69 studies into 6 groups: (1) individually tailored interventions, (2) computer-tailored interventions/tailored health messaging, (3) a protocolized group intervention with a tailored component, (4) only using the term tailor in the title, abstract, introduction, or discussion, e) using the term tailor to describe another term, and (5) interventions described as culturally tailored. Results: The scoping review exhibited a range of uses and lack of explicit definitions of tailoring in pediatric obesity interventions including some that deviate from individualized designs. Effective tailored interventions incorporated validated assessments for behaviors and multilevel determinants, and recipient-informed choice of target behavior(s) and programming. Conclusions: We urge interventionists to use tailoring to describe individualized, assessment-driven interventions and to clearly define how an intervention is tailored. This can elucidate the role of tailoring and its potential for addressing the heterogeneity of behavioral and social determinants for the prevention and management of pediatric obesity.

From Startup to Scaleup: Public Policies for Emerging Entrepreneurial Ecosystems

AbstractThe transition from startup to scaleup is a complex process, intricately tied to the dynamic ecosystem in which a startup originates and flourishes. Recognizing the substantial socioeconomic benefits that high-growth firms bring to their operating environments, policy makers try to strategically craft public policies to bolster their development, constituting a pivotal facet of entrepreneurial ecosystems (EE). This research aims to identify the challenges to growth faced by startups and to pinpoint policy focal areas conductive to addressing these challenges in an emerging EE. Effective public policies must be tailored to the specific context, serving as enablers while entrusting leadership roles to entrepreneurs and other EE stakeholders. To achieve our objective, we selected an emerging EE and approached entrepreneurs and influential agents in the EE through questionnaires and focus groups. The findings conclude with a set of recommended public policy actions designed to fortify essential components within an emerging EE that fosters the growth of its startups. These actions are categorized into three broad topics: enhancing talent availability, promoting networking opportunities, and reinforcing the entrepreneurial culture of the region.

Novice Elementary Teachers’ Science Teaching: Instructional Planning and Discourse

ABSTRACT Teaching science to elementary school students is complex, and teacher preparation programs must support pre-service teachers’ learning to communicate science content and practices with children. Science teachers bring the experiences they have as students to their teacher preparation, and these experiences may support or conflict with what they are learning about effective teaching. In this study, we present stories of two first-year teachers who attended a STEM-focused teacher preparation program in the U.S. While effective science teaching requires a multitude of complex practices, we focus on the teachers’ science lesson planning and discourse. These two constructs were chosen as areas of foci because they are introduced in teacher preparation, preservice teachers are often evaluated on these constructs in preparation for licensure, and they are critical components of effective elementary instruction/ Data collection began during their teacher preparation and continued into their first year as teachers and include semi-structured interviews, observation field notes, and video recordings. While both teachers expressed similar intentions for incorporating instruction practices learned in their teacher preparation, we found differences in enactment. We discuss influences, such as school cultures and peers, on beginning teachers’ attempts to translate learning from teacher preparation into their first year as teachers of science and include recommendations for continued support of novice teacher learning.

Design of a multi-carrier X-ray source for communication with energy modulation information.

X-ray communication is a kind of space communication technology which uses X-ray as information carrier. In order to improve the information transmission capacity, communication rate and anti-interference ability of X-ray communication, we proposes to design a novel multi-target X-ray source. The source is composed of a fast switching module of light channels based on FPGA technology and four photoelectric X-ray tubes with different target materials: Cr, Fe, Ni, and Cu. Using Geant4 software, we determined the optimal target thickness for each material, which enabled us to fully leverage the characteristic X-rays for multi-channel signal modulation transmission. Moreover, using CST software for particle trajectory simulation and optimization of the electron beam revealed that at a tube voltage of 20 kV, the focus area measures approximately 1.2 mm×1.2 mm. The simulations show that four kinds of spectra with high distinctiveness can be generated from the Cr, Fe, Ni, and Cu targets. Within a single modulation period, these spectra can be combined in various ways to create 16 different X-ray spectra signals, thereby increasing the number of communication elements and enhancing the information transmission rate.

To explore the effectiveness of various ecological security pattern construction methods in many growth situations in the future: A case study of the West Liaohe River Basin in Inner Mongolia

The Ecological Security Pattern (ESP) has emerged as a prominent area of focus in global ecosystem research, offering valuable scientific insights for reconciling ecological preservation with economic progress. Understanding the variances among different approaches to constructing ESP serves as a fundamental step in ensuring its efficacy. However, there has been a scarcity of studies that quantitatively assess the disparities in the effectiveness of various ESP construction methods. This study focuses on the West Liaohe River Basin as its research subject. Leveraging remote sensing data alongside county-level statistical information, the study employs three distinct ecological source identification methodologies to establish ESP frameworks. It then proceeds to analyze the discrepancies in ecological protection outcomes across different ESP construction techniques under varying future development scenarios. The findings reveal that an ecological security pattern centered around ecosystem services emerges as particularly suited for diverse development scenarios, consistently yielding optimal ecological protection outcomes. These research outcomes not only furnish a theoretical foundation and practical guidance for ESP development in the West Liaohe River Basin but also offer methodological insights transferrable to other regions.

In-depth assessment of steatotic liver disease awareness in high-risk groups.

This study aims to determine the awareness levels and factors affecting it, along with prevalent misconceptions about Steatotic Liver Disease (SLD) among participants with high-risk indicators. A questionnaire with open-ended questions was utilized. Participants were recruited from two general internal medicine outpatient clinics, focusing on those with high-risk indicators for SLD. Data collection involved a questionnaire covering demographic information, self-reported clinical conditions, and open-ended questions about SLD awareness. Key focus areas included misconceptions, thematic awareness, and the relationship between awareness and educational attainment. The study involved 228 participants, predominantly female (70.4%), with an average age of 53.8 years. Only 33.7% showed a comprehensive understanding of all aspects of SLD. However, 90.4% provided some accurate information, though often limited or incomplete. Higher education and awareness of SLD risks were key predictors of better understanding. The logistic regression model, with an accuracy of 0.76 and recall of 0.84, found higher education inversely related to low awareness. Common misconceptions highlighted included the belief that polypharmacy or certain medications cause SLD, fatigue as an effect, and increased water intake as a treatment. Notably, seven patients mentioned artichoke consumption as a potential treatment. The findings highlight the gap between comprehensive and partial awareness of SLD among high-risk individuals. Educational level and informed understanding of SLD risks are crucial for improving awareness, emphasizing the need for specialized educational efforts and risk communication to high-risk patients.

Gradual Increase in Birefringence of Antimony Oxalates through Precise Tuning of the Sb3+/[C2O4]2- Ratio.

Birefringent crystals play a crucial role in modulating and controlling the polarization of light in the optical communication and laser industries. Recently, adopting appropriate strategies to enhance the birefringence of crystals has become a prominent area of research focus. Herein, four UV antimony oxalate birefringent crystals, namely, K5Sb2(C2O4)5.5·3H2O, BaSb(C2O4)2.5·3H2O, Na4Sb2O(C2O4)4·6H2O, and Na3Sb(C2O4)2F2·2H2O, have been successfully synthesized. These compounds feature a similar zero-dimensional (0D) cluster structure and share the same functional groups, including π-conjugated [C2O4]2- groups and Sb3+-based distorted polyhedra with stereochemically active lone pairs (SCALPs). Interestingly, we achieved a stepwise increase in birefringence by precisely controlling the Sb3+/[C2O4]2- ratio, ultimately resulting in the compound Na3Sb(C2O4)2F2·2H2O exhibiting a large birefringence (0.21@546 nm). Additionally, we confirmed that the synergistic effects between the π-conjugated [C2O4]2- groups and the distorted polyhedra based on Sb3+ are responsible for the excellent optical properties observed in the reported compounds.