Unique Set Research Articles

An Analysis of Physical Activity Levels and Anthropometric Measurements Among Elementary School Students in Panggang and Pramuka Islands

Physical activity during childhood is critical for healthy growth and development, contributing to both physical and mental well-being. This study aimed to assessment of physical activity levels and anthropometric measurements among elementary school children living on Panggang and Pramuka Islands, part of the Thousand Islands regency in Indonesia. The study sample includes 264 students from grades V and VI, consisting of 152 male and 112 female participants. Physical activity was evaluated using a modified version of the International Physical Activity Questionnaire (IPAQ) designed for children. Anthropometric measurements, including weight, height, and body mass index (BMI), were collected using a Xiaomi Mi 2 Pro scale for weight and BMI, and a stadiometer for height. Findings reveal that most students on these islands engage in moderate to high levels of physical activity, reflecting the outdoor, active lifestyle typical of the region. However, a minority of students exhibited low physical activity levels, highlighting the need for targeted interventions to increase engagement in physical activity. The unique geographic and cultural setting of Panggang and Pramuka Islands underscores the importance of developing localized strategies to enhance physical activity and ensure the long-term health of children, preventing potential risks like obesity, cardiovascular issues, and psychosocial challenges. This research provides a comprehensive understanding of children's physical activity and health status in the Thousand Islands, offering valuable insights for policymakers and educators in promoting healthier lifestyles in similar remote settings.

SUSTAINABLE URBAN DEVELOPMENT IN HISTORIC TOWNS: A CASE STUDY OF JERASH, JORDAN

The research explores the complexities and challenges of preserving and developing historic towns, focusing on sustainable urban development in Jerash. The study emphasizes the significance of maintaining and restoring historic buildings and urban spaces to yield benefits in aesthetics, tourism, local economy, and property values. It highlights the urgency of integrating conservation measures into development strategies to promote cultural heritage planning, adaptive reuse, and overall revitalization. The rapid urbanization in Jordan has led to increased pressure on historic resources, necessitating the preservation of cultural heritage as essential capital. The study outlines the importance of sustainable urban development in historic towns, considering the diverse values they offer, including architectural accomplishments, historical significance, economic return, environmental quality, and social functions. A case study of Jerash illustrates the historic and cultural significance of the town, showcasing its unique urban setting with Roman architectural remains and a rich history spanning over 6500 years. The research discusses current urban development initiatives in Jerash, addressing the challenges posed by socioeconomic factors, population growth, and the transformation from a colonial to a tourist urban economy. The study underscores the need for an integrated approach to sustainable urban development that balances growth and conservation, leveraging the town's cultural, social, and physical components. The research provides strategies for sustainable urban development, focusing on the preservation and conservation of cultural heritage, innovative urban planning and design approaches, community engagement, and participation. Through comprehensive analysis and evaluation, the research aims to contribute valuable insights for future urban development projects in historic towns, ensuring their sustainability and continued significance as cultural and historical treasures.

A New Approach to Automatic Detection of Tactile Coating Surfaces with Deep Learning

In this study, tactile coating surfaces of visually impaired individuals were detected using the deep learning method. For this detection, 4 of the You Only Look Once (YOLO) architectures, one of the best deep learning methods, were used. No ready data set was used in the study. A unique and new data set was prepared for the study. For the data set, 6278 images were taken from tactile coating surfaces. Images for real-time applications were obtained from many different environments. The tactile coating surfaces in the pictures were labelled separately. A total of 9184 tags were made. The dataset was implemented in YOLOv5, YOLOv6, YOLOv7, and YOLOv8 architectures. The highest accuracy was achieved in the YOLOv8 architecture with an accuracy rate of 97%, F1-Score of 0.940, and mAP@.5 of 0.977. The model was applied with k-fold cross-validation to evaluate performance measurements. In order for the study to be used in real-time, the frame per second (FPS) was increased to 150.

Similarity Judul Tugas Akhir Menggunakan Metoda Cosine, Jaccard, Rabin-Karp Pada Jurusan TI

Plagiarism can occur anywhere and can be committed by anyone. For example, plagiarism by students when creating college assignments, where they unintentionally use someone else’s writing or ideas and forget to cite the source. Based on the above explanation, it is necessary to develop an information system to assess the percentage of plagiarism for proposed titles. After conducting an implementation test to measure the similarity accuracy and processing speed, a comparison was made between the proposed titles and the existing data, totaling 940 titles. The results showed a similarity rate of 84.13% with the Rabin-Karp method, 61.24% with the Cosine method, and 42.86% with the Jaccard method. In terms of processing speed, the Rabin-Karp method ranked first with a time of 0.5023 seconds, followed by the Cosine method with 0.5095 seconds, and the Jaccard method with 0.5103 seconds. From the test results, Jaccard Similarity is more suitable for short texts with unique word sets, but it is less precise for longer texts with important word distributions. Meanwhile, the Rabin-Karp method is not designed to measure general text similarity; instead, it is intended for fast and precise substring searches in pattern matching contexts

A Hybrid Model for Psoriasis Subtype Classification: Integrating Multi Transfer Learning and Hard Voting Ensemble Models.

Background: Psoriasis is a chronic, immune-mediated skin disease characterized by lifelong persistence and fluctuating symptoms. The clinical similarities among its subtypes and the diversity of symptoms present challenges in diagnosis. Early diagnosis plays a vital role in preventing the spread of lesions and improving patients' quality of life. Methods: This study proposes a hybrid model combining multiple transfer learning and ensemble learning methods to classify psoriasis subtypes accurately and efficiently. The dataset includes 930 images labeled by expert dermatologists from the Dermatology Clinic of Fırat University Hospital, representing four distinct subtypes: generalized, guttate, plaque, and pustular. Class imbalance was addressed by applying synthetic data augmentation techniques, particularly for the rare subtype. To reduce the influence of nonlesion environmental factors, the images underwent systematic cropping and preprocessing steps, such as Gaussian blur, thresholding, morphological operations, and contour detection. DenseNet-121, EfficientNet-B0, and ResNet-50 transfer learning models were utilized to extract feature vectors, which were then combined to form a unified feature set representing the strengths of each model. The feature set was divided into 80% training and 20% testing subsets and evaluated using a hard voting classifier consisting of logistic regression, random forest, support vector classifier, k-nearest neighbors, and gradient boosting algorithms. Results: The proposed hybrid approach achieved 93.14% accuracy, 96.75% precision, and an F1 score of 91.44%, demonstrating superior performance compared to individual transfer learning models. Conclusions: This method offers significant potential to enhance the classification of psoriasis subtypes in clinical and real-world settings.

How the Islamic Republic Has Responded to Everyday Resistance Against the Mandatory Hijab: Making Sense of Five Pro-Hijab Contentions in Iran (1988–2022)

How do gender anxieties shape pro-state and/or state-led contentions (SLCs)? Taking cues from several theoretical and methodological traditions, I develop a gender-driven theory of SLCs. Drawing on anxieties on the hijab among revolutionary pro-state (aka pro-regime) actors, factions, and organizations in Iran from 1988 until 2022, I discuss how the Islamic Republic (IR) responded to everyday grassroots resistance against pro-mandatory hijab policies. The IR’s various contentions include pro-hijab rallies; violent actions by individuals with vague ties to the various bodies of the IR; strict policies; harsh rhetoric; and non-threatening, non-violent performances. Building on my own unique longitudinal newspaper data set, I demonstrate how these five types of SLC shaped the IR’s hijab ideology, albeit with occasional flexibilities. Highlighting SLCs is important because research on everyday resistance by ordinary civilians has overlooked various contentions by states, which yield consequential outcomes. Going beyond pro-state street rallies, I argue that the growing research on state-led mobilizations must take various gendered policies, rhetoric, performances, and individual acts of violence into consideration.

Green Cities, Healthier Children: The Effect of Expanding Urban Green Space on Body Weight for Primary School Starters.

The discussion on tackling childhood obesity is often centered around fostering physical activity. A potential relationship yet overlooked could run from providing the proper environment for healthy lifestyles to reduced weight problems. A unique quasi-experimental setting of transforming former airport grounds to a large urban green space allows me to apply a difference-in-differences approach within an intention-to-treat framework, comparing several weight outcomes of residential children to children living further away before and after park opening. I use new administrative data on the Berlin district level from mandatory school entrance examinations and provide robust evidence of a lower probability by 4.3% points for treated children to be overweight (BMI>90 P.), driven entirely by girls, mainly by children from foreign cultural backgrounds and children with less childcare exposure. My results are robust to corrective methods of inference, including synthetic controls, and may open a new perspective for obesity policy action and prevention.

Evolutionarily Developed Alternatively Spliced Exons Containing Translation Initiation Sites.

Alternative splicing is essential for the generation of various protein isoforms that are involved in cell differentiation and tissue development. In addition to internal coding exons, alternative splicing affects the exons with translation initiation codons; however, little is known about these exons. Here, we performed a systematic classification of human alternative exons using coding information. The analysis showed that more than 5% of cassette exons contain translation initiation codons (alternatively skipped exons harboring a 5' untranslated region and coding region, 5UC-ASEs) although their skipping causes the deletion of translation initiation sites essential for protein synthesis. The splicing of 5UC-ASEs is under the repressive control of MATR3, a DNA/RNA-binding protein associated with neurodegeneration, and is distinctly regulated particularly in the human brain, muscle, and testis. Interestingly, MATR3 represses its own translation by skipping a 5UC-ASE in MATR3 to autoregulate its expression level. 5UC-ASEs are larger than other types of alternative exons. Furthermore, evolutionary analysis revealed that 5UC-ASEs have already appeared in cartilaginous fishes, have increased in amphibians, and are concentrated in the genes involved in transcription in mammals. Taken together, our analysis identified a unique set of alternative exons, 5UC-ASEs, that have evolutionarily acquired a repression mechanism for gene expression through association with MATR3.

A Sociolinguistics Analysis of Styles and Registers Used in Pondok Pesantren Nahdlatul Wathan

This study aims to analyze the styles and registers used in Pondok Pesantren Nahdlatul Wathan, a prominent Islamic boarding school in Indonesia, to understand the linguistic dynamics within this unique cultural setting. Grounded in sociolinguistic theories, particularly those by William Labov and John J. Gumperz, the research explores how language variations reflect social roles, settings, and purposes. Utilizing a qualitative descriptive method, the study involves observations and interviews to document and categorize language use. Findings reveal significant variations in language styles, with formal registers employed in academic and administrative contexts and informal styles preval_ent in casual interactions. These linguistic practices are influenced by cultural and religious factors, emphasizing respect, communication effectiveness, and community cohesion. This research contributes to sociolinguistic scholarship by highlighting the interplay between language, identity, and social dynamics in educational and religious environments.

Navigating the Landscape of Kubernetes Security Threats and Challenges

The rise of containerization and the widespread adoption of Kubernetes have revolutionized the way applications are deployed and managed. This paradigm shift has introduced new security risks and challenges that must be addressed. This paper delves into the various security threats and vulnerabilities associated with Kubernetes, exploring mitigation strategies and best practices to enhance the overall security posture of containerized environments. Kubernetes, as a leading container orchestration platform, has become the de facto standard for managing and scaling containerized applications in modern IT infrastructure. While Kubernetes offers numerous benefits, such as improved scalability, portability, and resource optimization, it also introduces a unique set of security concerns that must be carefully navigated. This paper aims to provide a comprehensive overview of the security threats and challenges faced in Kubernetes environments, as well as the current approaches and tools used to address these critical issues.

WATER SUITABILITY FOR SEAWEED Kappaphycus alvarezii CULTURE USING SENTINEL-2A IN AENG BATU-BATU VILLAGE, TAKALAR REGENCY

Certain individuals residing in Aeng Batu-Batu Village are engaged in the cultivation of seaweed (Kappaphycus alvaezii). However, the community encounters a challenge in identifying suitable areas for seaweed farming. The objective of this study is to assess the appropriateness of the waters for cultivating seaweed. The present study was carried out in June 2023. The exploration method utilized in this study seeks to ascertain the degree of suitability exhibited by the waters for seaweed cultivation. An Aeng Batu-Batu Village sampling procedure was implemented, consisting of three repetitions. A unique set of water quality parameters was acquired at each sampling point. In descending order, the values of each parameter are presented. Current velocity (23.62-11.47 cm/s), depth (5-2 meters), water clarity (3.35-2.3 meters), pH (7.91-7.73), salinity (27-23 ppt), temperature (30-28 °C), phosphate (0.0362-0.0122 mg/L), and nitrate (0.069-0.014 mg/L). The water suitability matrix indicates that 185.06 ha of the valley's water is suitable for seaweed cultivation in Aeng Batu-Batu Village, while 0.3 hectare of the valley's water is unsuitable for seaweed cultivation.

A nationwide study of two decades of invasive pneumococcal disease in the Faroe Islands, 2000-2023.

Invasive pneumococcal disease (IPD) remains a significant public health concern, particularly in vulnerable populations such as the elderly. This study focuses on the Faroe Islands, a unique setting for monitoring pneumococcal disease trends due to its high vaccination coverage and geographic isolation. To examine the prevalence, trends and serotype distribution of IPD in the Faroe Islands from 2000 to 2023, focusing on the impact of pneumococcal conjugate vaccines (PCVs) on disease incidence and serotype replacement. Eighty-six pneumococcal isolates, representing all registered cases of IPD in the Faroe Islands, were analysed during the study period. Data on patient demographics, serotype identification and vaccination history were collected from national health records. Temporal trends in vaccine-type (VT) and non-vaccine-type (nVT) serotypes were analysed, particularly following the introduction of PCV13 in 2010. Following the introduction of PCV13, a shift from VT to nVT serotypes was observed, while the overall IPD rate remained stable. Notably, there was an increase in IPD cases among the elderly population. The analysis indicated that serotype replacement contributed to a rise in nVT cases despite reducing VT-related IPD. The findings emphasise the need for ongoing evaluation of pneumococcal vaccine formulations and alternative strategies to address the increasing prevalence of nVT IPD. Higher-valency vaccines and sustained vaccination coverage are critical to mitigating the impact of serotype replacement and improving public health outcomes in the Faroe Islands.

Developing an ethical framework for the recruitment of people who inject drugs experiencing incarceration in HIV prevention research: a qualitative study

BackgroundHIV disproportionately impacts people who experience incarceration. Incarceration represents an opportunity to engage in HIV prevention care for individuals who often experience a number of barriers accessing health services in the community. The development of evidence-based practices promoting pre-exposure prophylaxis for HIV prevention (PrEP) is crucial for ending the HIV epidemic within this highly marginalized population. However, PrEP research within carceral facilities has been limited and is hampered in part by the lack of ethical guidance on conducting HIV prevention research in this unique setting where incarcerated individuals are categorized as a vulnerable population requiring specific protections. This lack of knowledge is particularly striking when considering the lack of input from incarcerated individuals themselves on the responsible conduct of research, which is critical to understanding ways to ensure participant autonomy while avoiding coercive practices in research activities.MethodsIn order to gain a better understanding of ethical approaches to the conduct of HIV prevention research among incarcerated individuals, we conducted qualitative interviews with 21 incarcerated men who reported injecting drugs and met clinical criteria for PrEP use. The interview topics included HIV knowledge, PrEP knowledge, stigma, and perceptions related to ethical research practices.ResultsThemes identified included how forced abstinence during incarceration can negatively affect research participation, the importance of participant comfort as it relates to ensuring autonomy in decision making, a desire for person centred approaches in research activities, study staff characteristics impacting participant experience, and perceptions of carceral staff as members of research teams.ConclusionsThe results of this study indicate that conducting research focused on improving PrEP use in a carceral environment has support among those experiencing incarceration. However, researchers should place the participant experience at the center of research protocol development.

Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study.

Digital mental health is a promising paradigm for individualized, patient-driven health care. For example, cognitive bias modification programs that target interpretation biases (cognitive bias modification for interpretation [CBM-I]) can provide practice thinking about ambiguous situations in less threatening ways on the web without requiring a therapist. However, digital mental health interventions, including CBM-I, are often plagued with lack of sustained engagement and high attrition rates. New attrition detection and mitigation strategies are needed to improve these interventions. This paper aims to identify participants at a high risk of dropout during the early stages of 3 web-based trials of multisession CBM-I and to investigate which self-reported and passively detected feature sets computed from the participants interacting with the intervention and assessments were most informative in making this prediction. The participants analyzed in this paper were community adults with traits such as anxiety or negative thinking about the future (Study 1: n=252, Study 2: n=326, Study 3: n=699) who had been assigned to CBM-I conditions in 3 efficacy-effectiveness trials on our team's public research website. To identify participants at a high risk of dropout, we created 4 unique feature sets: self-reported baseline user characteristics (eg, demographics), self-reported user context and reactions to the program (eg, state affect), self-reported user clinical functioning (eg, mental health symptoms), and passively detected user behavior on the website (eg, time spent on a web page of CBM-I training exercises, time of day during which the exercises were completed, latency of completing the assessments, and type of device used). Then, we investigated the feature sets as potential predictors of which participants were at high risk of not starting the second training session of a given program using well-known machine learning algorithms. The extreme gradient boosting algorithm performed the best and identified participants at high risk with macro-F1-scores of .832 (Study 1 with 146 features), .770 (Study 2 with 87 features), and .917 (Study 3 with 127 features). Features involving passive detection of user behavior contributed the most to the prediction relative to other features. The mean Gini importance scores for the passive features were as follows: .033 (95% CI .019-.047) in Study 1; .029 (95% CI .023-.035) in Study 2; and .045 (95% CI .039-.051) in Study 3. However, using all features extracted from a given study led to the best predictive performance. These results suggest that using passive indicators of user behavior, alongside self-reported measures, can improve the accuracy of prediction of participants at a high risk of dropout early during multisession CBM-I programs. Furthermore, our analyses highlight the challenge of generalizability in digital health intervention studies and the need for more personalized attrition prevention strategies.

Characterising the landscape of mycotourism initiatives in Quebec: a comprehensive overview including a classification, cluster analysis and strategic group approach

ABSTRACT Even if a niche activity, mycotourism has gained in popularity internationally, with various initiativzses emerging to cater to the growing interest of tourists toward mushrooms and mushroom-related goods and services. This article presents the argument that mycotourism encompasses a diverse range of activities that have yet to be fully explored and understood by decision-makers and scholars alike. This paper addresses this research gap by providing a comprehensive understanding of the diverse mycotourism initiatives in Quebec (Canada). Through an in-depth environmental scanning process, this study presents an overview of mycotourism offerings, employing a classification, cluster analysis, and strategic grouping approach to synthesise and organise knowledge based on 57 organisations. The 18 mycotourism activities were classified into five distinct categories. The cluster analysis revealed the presence of four distinct groups of micro and very small enterprises (VSEs) in the sector, each characterised by its own unique set of traits and behaviours: curated activity providers; wide-ranging service providers; learning and development focused providers; and guided adventures providers. By leveraging providers' total number of employees and total number of activities offered, we have established 4 strategic groups demonstrating that the VSEs exhibit versatility in their activities and adapt to different scales of mycotourism offerings.

SARS-CoV-2 introductions to the island of Ireland: a phylogenetic and geospatiotemporal study of infection dynamics

BackgroundIreland’s COVID-19 response combined extensive SARS-CoV-2 testing to estimate incidence, with whole genome sequencing (WGS) for genome surveillance. As an island with two political jurisdictions―Northern Ireland (NI) and Republic of Ireland (RoI)―and access to detailed passenger travel data, Ireland provides a unique setting to study virus introductions and evaluate public health measures. Using a substantial Irish genomic dataset alongside global data from GISAID, this study aimed to trace the introduction and spread of SARS-CoV-2 across the island.MethodsWe recursively searched for 29,518 SARS-CoV-2 genome sequences collected in Ireland from March 2020 to June 2022 within the global SARS-CoV-2 phylogenetic tree and identified clusters based on shared last common non-Irish ancestors. A maximum parsimony approach was used to assign a likely country of origin to each cluster. The geographic locations and collection dates of the samples in each introduction cluster were used to map the spread of the virus across Ireland. Downsampling was used to model the impact of varying levels of sequencing and normalisation for population permitted comparison between jurisdictions.ResultsSix periods spanning the early introductions and the emergence of Alpha, Delta, and Omicron variants were studied in detail. Among 4439 SARS-CoV-2 introductions to Ireland, 2535 originated in England, with additional cases largely from the rest of Great Britain, United States of America, and Northwestern Europe. Introduction clusters ranged in size from a single to thousands of cases. Introductions were concentrated in the densely populated Dublin and Belfast areas, with many clusters spreading islandwide. Genetic phylogeny was able to effectively trace localised transmission patterns. Introduction rates were similar in NI and RoI for most variants, except for Delta, which was more frequently introduced to NI.ConclusionsTracking individual introduction events enables detailed modelling of virus spread patterns and clearer assessment of the effectiveness of control measures. Stricter travel restrictions in RoI likely reduced Delta introductions but not infection rates, which were similar across jurisdictions. Local and global sequencing levels influence the information available from phylogenomic analyses and we describe an approach to assess the ability of a chosen WGS level to detect virus introductions.

Control Semiflows, Chain Controllability, and the Selgrade Decomposition for Linear Delay Systems

A continuous semiflow is introduced for linear control systems with delays in the states and controls and bounded control range. The state includes the control functions. It is proved that there exists a unique chain control set which corresponds to the chain recurrent set of the semiflow. The semiflow can be lifted to a linear semiflow on an infinite dimensional vector bundle with chain transitive base flow. A decomposition into exponentially separated subbundles is provided by a recent generalization of Selgrade’s theorem.

Differential effects of Phosphodiesterase 4A5 on cAMP-dependent forms of long-term potentiation.

cAMP signalling is critical for memory consolidation and certain forms of long-term potentiation (LTP). Phosphodiesterases (PDEs), enzymes that degrade the second messengers cAMP and cGMP, are highly conserved during evolution and represent a unique set of drug targets, given the involvement of these enzymes in several pathophysiological states including brain disorders. The PDE4 family of cAMP-selective PDEs exert regulatory roles in memory and synaptic plasticity, but the specific roles of distinct PDE4 isoforms in these processes are poorly understood. Building on our previous work demonstrating that spatial and contextual memory deficits were caused by expressing selectively the long isoform of the PDE4A subfamily, PDE4A5, in hippocampal excitatory neurons, we now investigate the effects of PDE4A isoforms on different cAMP-dependent forms of LTP. We found that PDE4A5 impairs long-lasting LTP induced by theta burst stimulation (TBS) while sparing long-lasting LTP induced by spaced four-train stimulation (4 × 100Hz). This effect requires the unique N-terminus of PDE4A5 and is specific to this long isoform. Targeted overexpression of PDE4A5 in area CA1 is sufficient to impair TBS-LTP, suggesting that cAMP levels in the postsynaptic neuron are critical for TBS-LTP. Our results shed light on the inherent differences among the PDE4A subfamily isoforms, emphasizing the importance of the long isoforms, which have a unique N-terminal region. Advancing our understanding of the function of specific PDE isoforms will pave the way for developing isoform-selective approaches to treat the cognitive deficits that are debilitating aspects of psychiatric, neurodevelopmental and neurodegenerative disorders. KEY POINTS: Hippocampal overexpression of PDE4A5, but not PDE4A1 or the N-terminus-truncated PDE4A5 (PDE4A5Δ4), selectively impairs long-term potentiation (LTP) induced by theta burst stimulation (TBS-LTP). Expression of PDE4A5 in area CA1 is sufficient to cause deficits in TBS-LTP. Hippocampal overexpression of the PDE4A isoforms PDE4A1 and PDE4A5 does not impair LTP induced by repeated tetanic stimulation at the CA3-CA1 synapses. These results suggest that PDE4A5, through its N-terminus, regulates cAMP pools that are critical for memory consolidation and expression of specific forms of long-lasting synaptic plasticity at CA3-CA1 synapses.

The Integration of Augmented Reality: A New Paradigm Shift in Marketing Approach

Purpose: The emergence of Augmented Reality Marketing (ARM) has been fuelled by recent advancements in AR technology and its growing application in marketing strategies and practices. Despite an increasing body of literature on the subject, managers and researchers still struggle to clearly articulate how ARM creates valuable customer experiences that differentiate it from other marketing strategies. This paper defines ARM as a customer-facing interface integrating digital marketing technologies into real-world environments. Drawing on the "situated cognition" theories from social psychology, we identify a unique set of digital affordances offered by ARM that extend beyond traditional marketing channels. By applying key concepts from situated cognition theory, we develop a comprehensive framework for understanding and enhancing ARM experiences, providing a foundation for future research and practical applications.

Trends in Pediatric Neck Injuries During Sporting Activities.

Background: Although neck injuries secondary to sporting activities in the pediatric demographic presenting to the emergency department (ED) are common, predictors of needing higher-level care (HLC) outside immediate treatment and release are not clear. The aim of this study was to describe how these neck injuries present in the United States (US) and identify predictors of HLC. Methods: We interrogated the US National Electronic Injury Surveillance System (NEISS) database for presentations to the ED of pediatric patients (aged 6-18 years old) whose primary complaint was neck injury in the setting of sport between 2014 and 2023. Statistical analysis utilized weighted estimates to evaluate incidence and then univariate and multivariate regression analyses were carried out to identify parameters associated with HLC for these patients. Results: Overall, a national weighted total of 360,885 ED presentations were estimated to have occurred in the last decade without any statistical change over the years. The mean age was 12.7 years, with more males (60.0%) than females (40.0%). The most common race observed was Black (50.6%), and these injuries most commonly occurred at a sporting complex (62.9%). Neck strains (59.9%) were the most common diagnosis seen across all presentations, followed by neck pain (29.1%), neck contusions (including abrasion) (6.4%), neck fractures (1.7%) and neck lacerations (0.8%). Ultimately, the majority of presentations were treated and released from the ED (95.5%). There were 4.5% of presentations, however, that did require HLC. Older age (OR 1.07, p = 0.004), male gender (OR 1.51, p = 0.002), involvement of other body part(s) (OR 1.45, p = 0.007) and non-strain neck injuries (OR 11.8, p < 0.001) were all independent, statistically significant predictors of HLC. Football (18.6%) was the most common sport associated with these presentations overall, but this was driven mostly by male cases. For females, the most common sport associated with these presentations was cheerleading (12.3%). Conclusions: In the last decade, neck injuries secondary to sporting activities in the pediatric demographic presenting to the ED have remained consistent. We have identified a unique set of predictors for presentations requiring HLC. These findings can be used in tandem with the findings that there are a number of gender-specific sports that drive these presentations to develop more sensitive and specific protocols for both primary prevention and ED triaging.