A unified framework for sequential recommendation with gated differential amplified attention and repetition-exploration intent modeling.

To investigate the feasibility and short-term clinical outcomes of subxiphoid thoracoscopic surgery for the treatment of anterior mediastinal tumors in children, and to summarize the preliminary surgical experience. A retrospective observational study was conducted on 4 pediatric patients who underwent subxiphoid thoracoscopic resection of anterior mediastinal tumors at our center from January 2024 to December 2024. Clinical data including pathological types, surgical procedures, intraoperative parameters, postoperative complications and their management were collected and analyzed. The inclusion criteria were central or unilateral anterior mediastinal tumors with a diameter less than 1/3 of the thoracic cavity and clear boundaries with major mediastinal blood vessels on imaging. Patients with pectus excavatum, giant tumors, or tumor invasion of major blood vessels were excluded. All 4 patients were male, aged 9 to 12 years. The pathological diagnoses included thymoma, mature cystic teratoma, and residual mediastinal mass after chemotherapy for T-lymphoblastic lymphoma. All surgical procedures were successfully completed via subxiphoid thoracoscopy without conversion to open thoracotomy. The median intraoperative blood loss was less than 20 mL, and no allogeneic blood transfusion was required in any patient. The median postoperative hospital stay was 7 days (range, 6-8 days). Mild postoperative complications (Clavien-Dindo grade Ⅰ) occurred in 2 patients (50%), including atelectasis and pleural effusion, all of which were completely resolved by conservative treatment or thoracostomy tube drainage without adverse effects on short-term prognosis. All tumors were resected with R0 margins, and pathological examination confirmed no residual tumor cells at the surgical margins. In this highly selected small cohort, subxiphoid thoracoscopic resection appears technically feasible as a minimally invasive approach for pediatric anterior mediastinal tumors, with no severe perioperative complications and satisfactory short-term outcomes. However, the narrow operative space caused by the small thoracic cavity in children increases the surgical difficulty of this technique. The development of pediatric-specific auxiliary surgical instruments and the accumulation of more clinical cases are required to verify its long-term safety and efficacy.

A deep understanding of the charge transport processes in molecular junctions is the central issue in the developing field of nanoscale molecular devices. Here, we present a non-Markovian full counting statistics formalism for a nanoelectromechanical system in terms of a generalized quantum master equation, which is valid at finite temperatures and bias. Based on this formalism, we investigate the electron transport through a vibrating molecule, which is tunnel-coupled to the source and drain, as well as an external heat bath. While the Markovian and non-Markovian currents are consistent with each other, we observe a substantial reduction of the non-Markovian noise, where the Fano factor is suppressed down to 10-3, implying well-organized electron tunneling events. In the finite-frequency noise, this is also indicated by the sharp peaks at the characteristic frequency of the oscillator, which broaden and eventually disappear as the temperature and/or tunneling length increase. These findings establish clear parameter boundaries for non-Markovian effects and may offer new insights into understanding charge transfer dynamics in molecular devices.

Extracorporeal cardiopulmonary resuscitation (ECPR) offers a life-saving option for select patients with refractory cardiac arrest, yet a substantial proportion suffer devastating neurological injury and die despite extracorporeal support. In this context, organ donation may emerge as a potential downstream pathway, introducing complex ethical tensions at the intersection of life-sustaining treatment, end-of-life care, and organ preservation. This narrative review examines the ethical challenges associated with organ donation following ECPR, with particular attention to the transition from resuscitative intent to donation-oriented care. We discuss the clinical and ethical challenges of ECPR programs related to patient autonomy, informed consent, conflicts of interest, and equity of access in both adult and paediatric populations. Building on core principles of biomedical ethics, we propose a structured ethical model to guide clinicians and institutions navigating these scenarios. Central elements include strict separation between resuscitative and donation-related decision-making, transparent prognostication, robust safeguards around treatment intent, and early integration of ethics consultation and structured communication processes. We extend the prior evidence by offering ECPR-specific considerations, including concrete governance triggers, bedside tools, the integration of paediatric perspectives, and the translation of ethical principles into operational guidance. By defining clear ethical boundaries and governance mechanisms, this review aims to support the responsible integration of organ donation pathways following ECPR, while preserving public trust and reaffirming the primacy of patient-centred care.

Abstract A computational method based on the particle-in-cell/Monte Carlo (PIC/MC) algorithm is developed to simulate the breakdown characteristics of low-pressure, radio-frequency (RF) driven capacitive discharges. The simulation framework incorporates key procedures such as initialization, breakdown determination, and a voltage–pressure scanning strategy, enabling efficient and accurate calculation of breakdown curves. To balance reliability and computational cost, a combined criterion based on electron avalanche growth and critical electron density is adopted for breakdown identification.
 Using this approach, breakdown curves under different electron surface emission conditions are investigated, revealing clear boundary effects. The results indicate that ion-induced secondary electron emission (SEE) primarily influences the high-voltage region of the curve, whereas electron-induced SEE and reflection coefficients significantly extend the breakdown region toward lower pressures and voltages. Furthermore, increases in driving frequency and gap distance both substantially expand the low-pressure breakdown region, with the drift-diffusion branch becoming more pronounced. At frequencies beyond a certain threshold, the low-pressure breakdown curve transitions from closed to open, accompanied by a voltage span exceeding 100V — a behavior associated with the transition from RF-driven plasma to multipactor discharge under sub-millitorr conditions. In the high-pressure, high-voltage regime, the breakdown behavior remains consistent with Paschen’s law, while the drift-diffusion branch exhibits clear scaling with gap distance.

Epilepsy is one of the most prevalent chronic neurological disorders worldwide, affecting approximately 70 million people globally and imposing substantial burdens on patients, families, and healthcare systems. Its multifaceted treatment landscape spanning antiepileptic drug (AED) therapy, epilepsy surgery, ketogenic dietary therapy, and neuromodulation makes accurate health information critical for patient decision-making and treatment adherence. Short-video platforms such as TikTok (Douyin) and Bilibili have emerged as primary channels through which the public accesses health-related content, yet the quality and reliability of epilepsy-related content on these platforms remain largely unexamined. A cross-sectional content analysis was conducted. We systematically retrieved videos via keyword search on TikTok (Douyin) and Bilibili, using the terms "dianxian" (epilepsy) and "jingfeng" (seizure/convulsion). For each platform, we collected the top 100 unique videos ranked by the platform's default relevance algorithm, with duplicate results from the two search terms removed. After applying pre-specified inclusion and exclusion criteria, 182 videos were included in the final analysis. Two physicians independently assessed the videos using a multi-instrument framework with clear applicable boundaries: Global Quality Score (GQS, for overall educational quality across all content types), modified DISCERN (mDISCERN, exclusively for treatment information reliability), JAMA benchmark criteria (for source transparency, not direct clinical accuracy), and a novel Treatment Misinformation Risk Scale (TMRS, specifically for epilepsy treatment-related content). Inter-rater reliability was assessed using the intraclass correlation coefficient (ICC). Engagement metrics and uploader characteristics were also recorded, with sensitivity analyses performed to control for confounding from uneven content theme distribution between platforms. A total of 182 videos were analyzed (96 from TikTok, 86 from Bilibili). The overall educational quality was suboptimal (mean GQS: 2.65 ± 0.93; mDISCERN: 2.12 ± 0.89 for treatment-containing videos). Bilibili videos demonstrated significantly higher performance across all instruments: overall educational quality (GQS: 3.11 ± 0.87 vs. 2.24 ± 0.84, P < 0.001), treatment information reliability (mDISCERN: 2.56 ± 0.81 vs. 1.74 ± 0.76, P < 0.001), and source transparency (JAMA: 2.18 ± 0.72 vs. 1.42 ± 0.68, P < 0.001). The mean normalized TMRS score was 1.15 ± 0.62, with TikTok showing significantly higher treatment misinformation risk (1.41 ± 0.54) than Bilibili (0.86 ± 0.53, P < 0.001). TMRS scores were positively correlated with likes (rho = 0.46, P < 0.001), shares (rho = 0.43, P < 0.001), and comments (rho = 0.39, P < 0.001), while quality scores showed no significant correlation with engagement. Sensitivity analyses confirmed that the observed platform differences were not confounded by differences in content theme distribution. Epilepsy-related content on China's major short-video platforms is of concerningly poor quality, with treatment misinformation receiving disproportionately higher user engagement. These findings highlight the urgent need for collaborative efforts among neurologists, platform operators, and health authorities to improve the quality of epilepsy health information in the digital environment.

Introduction Addressing “wicked problems"—complex societal challenges without clear boundaries or solutions—requires deep integration of knowledge across disciplines and sectors (transdisciplinary collaboration). While existing frameworks and toolkits support transdisciplinary collaboration, most interventions focus on established teams rather than the ideation stage. Methods and materials This study introduces the Question-Collaboration Workshop, designed to stimulate transdisciplinary thinking and foster new research teams through collaborative question generation. The workshop includes four activities: (i) the Knowledge Creation Framework to make the scientific processes explicit; (ii) Buzzword Networking to build trust and a shared language; (iii) Four Layers of Questions to iteratively combine research questions across disciplines; and (iv) the Known-Unknown Matrix to identify knowledge gaps and actionable next steps. Two workshops were implemented at U.S. land-grant universities with researchers from diverse fields. Pre- and post workshop surveys and facilitator observations were analyzed qualitatively. Results Both workshops seemed to successfully generate novel transdisciplinary questions and initiate new collaborations. Participants reported greater awareness of disciplinary perspectives and enthusiasm for future engagement. Challenges included time constraints, scaling activities for larger groups, and clarifying the Known-Unknown Matrix. Feedback emphasized the need for extended sessions, broader disciplinary representation, and follow-up activities to operationalize ideas. Discussion Findings suggest that research questions can serve as a powerful catalyst for transdisciplinary collaboration. The workshop supports team science competencies such as trust-building, shared language, and co-creation of ideas. Limitations include small sample size and lack of longitudinal follow-up. Future work should refine activities, assess scalability, and evaluate long-term impacts on team formation and knowledge production. Conclusion The Question-Collaboration Workshop demonstrates promise as an intervention to foster transdisciplinary thinking at the ideation stage. By leveraging researchers' intrinsic curiosity, this approach can help assemble diverse teams to address complex societal challenges.

IntroductionSjögren’s disease (SjD) is a chronic autoimmune disorder characterized by dry mouth (xerostomia) and dry eyes (xerophthalmia) due to inflammation in exocrine glands, particularly the salivary and lacrimal glands. The condition presents a wide variety of clinical features, suggesting that it may involve heterogeneous conditions without a clear boundary. Although genome-wide association studies (GWAS) have identified several genetic variants associated with SjD, their roles in SjD pathogenesis remain unclear.MethodsIn this study, we aimed to identify single-nucleotide polymorphisms (SNPs) associated with SjD by categorizing patients based on four diagnostic markers: anti-Ro/SSA and anti-La/SSB antibodies, IgG levels, and lymphocyte foci, using a genotype-phenotype dataset (NCBI dbGaP phs000672.v1.p1) which included 594 SjD patients, 1,264 sicca symptomatic individuals without SjD diagnosis (as a control group), and 41 healthy individuals (as another control group) .Results and DiscussionWe identified SNPs associated with each subtype of SjD, organized by two factors of diagnostic markers, X (anti-SSA and/or anti-SSB autoantibody) and Y (IgG or lymphocyte foci), with an adjusted p-value less than 5x10-8. The SjD subtypes were classified as follows: Group A (Factors X+ and Y+), Group B (X+ and Y-), Group C (X- and Y+), and Group D (X- and Y-). We found distinct SNPs associated with each group of SjD patients. This study can help advance the SjD subtype investigation, supporting precision diagnosis and treatment of SjD.

ABSTRACT As a dynasty without a solid inherited claim to legitimacy in late medieval and early modern western Asia, the Ottomans were particularly vulnerable to challenges against their right to rule, especially from rival Muslim powers. Despite military and intellectual efforts to buttress their position, the fragility of the Ottomans’ claims to rightful authority was exposed by the rise of the Qizilbash under Safavid Shah Ismail at the turn of the sixteenth century. The Qizilbash Safavids, invoking the shared Timurid heritage, appear to have attracted support from Ottoman milieus marginalized by centralizing reforms; in turn, the Ottoman elite sought to construct a clear religious and cultural boundary, thereby attempting to undermine the Qizilbash’s capacity to address these constituencies. Leading bureaucrat-historians, most notably İdris-i Bidlisi (d. 1520), Kemalpaşazade (d. 1534), and Celalzade Mustafa (d. 1567), gave the clearest expression to this boundary, doing so by assailing the religious identity of the Qizilbash and branding them as dangerous heretics outside the Muslim fold. Yet, the shared cultural heritage between the two sides complicated this narrative, and the very historians working to cement the boundary inadvertently revealed deeper connections that ultimately undermined it.

CvTFuse: An unsupervised medical image fusion method of gliomas T1-DWI mode.

Online adaptive radiotherapy using cone beam computed tomography (CBCT) of the pelvis can account for anatomical variations during cervical cancer treatment. However, the limitations of CBCT and existing auto-segmentation methods, such as deformable image registration (DIR), hinder contouring and dosimetric accuracy. We propose a test-time adaptation (TTA)-driven patient-specific segmentation framework to enhance the accuracy and workflow efficiency of CBCT-guided online adaptive radiotherapy in cervical cancer. Our retrospective analysis included 20 patients with cervical/endometrial cancer (530 CBCT scans) treated on the Varian Ethos platform. A patient-specific UNet variant pre-trained on the CTPelvic1K dataset using Bootstrap Your Own Latent (BYOL) contrastive learning was fine-tuned on individual reference CT scans. During daily adaptation, the model incorporated TTA with segmentation (cross entropy + Dice loss) and consistency objectives, leveraging prior CBCT/CT images to constrain anatomical variations. Performance was evaluated using the Dice similarity coefficient (DSC), 95th percentile Hausdorff Distance (HD95), and contouring time reduction compared to DIR-based methods. The proposed method significantly outperformed DIR, achieving higher DSC (e.g., postoperative clinical target volume (CTV) of the vaginal cuff and upper vaginal region: 0.89vs. 0.73; definitive CTV of the pelvic lymphatic drainage area: 0.83vs. 0.71) and lower HD95 (e.g., rectum: 24.9vs. 30.7mm) values. TTA further improved the accuracy, particularly for the bowel (DSC: 0.81vs. 0.76) and target volumes. Clinically, the proposed method reduced the contouring time by 250 s (postoperative) and 230 s (definitive) per fraction (p<0.01), with reduced time variability. Structures with clear boundaries required one or two fractions for training, whereas motion-prone organs required four or five fractions. This study presents the first retrospective demonstration of TTA-driven patient-specific segmentation for pelvic CBCT-guided online adaptive radiotherapy. The proposed framework enhances segmentation accuracy, workflow efficiency, and temporal consistency by addressing the inherent challenges and data scarcity of CBCT through adaptive learning.

Traditional food ordering processes in restaurants rely heavily on manual interactions, including in-person ordering, phone-based bookings, and unstructured coordination between customers, restaurants, and delivery personnel. These approaches lead to inefficiencies such as delayed order processing, incorrect order handling, lack of real-time tracking, and poor coordination among stakeholders. Although modern applications exist, many academic implementations lack modular architecture, role-based access control, and scalable backend design. This paper presents the design and implementation of a role- based Online Food Ordering and Delivery System developed using Django and RESTful architectural principles. The system follows a modular architecture separating user roles including Admin, Customer, Restaurant, and Delivery personnel. Each module is designed with clear responsibility boundaries, improv- ing maintainability and scalability. Core functionalities include food browsing, cart management, order placement, restaurant-side order handling, and delivery tracking. The system ensures data consistency through central- ized database management and structured workflows. Rolebased access control ensures secure and restricted operations across modules. The implementation demonstrates how modern web frame- works like Django can be used to build scalable, role-driven systems with clear separation of concerns. The system serves as a foundation for further enhancements toward real-world de- ployment, including payment integration and real-time tracking.

This study examines how perceptions of an AI counselor influence trust, health empowerment, and compliance intention within an AI digital health intervention. Using covariance-based structural equation modeling (CB-SEM), the research reveals that perceived transparency, ethical perception, and empathy are the primary predictors of trust, whereas perceived intelligence and fairness are statistically non-significant. These findings suggest that the success of AI-mediated support depends on relational qualities rather than technological sophistication alone. The results demonstrate that trust facilitates the co-creation of health value by driving both compliance intention and psychological empowerment. Notably, the study identifies an Uncanny Empathy Paradox, where significantly high levels of simulated emotional warmth negatively influence trust. Furthermore, mediation analysis confirms a serial pathway where trust fosters health empowerment, which subsequently drives compliance. By positioning empowerment as a critical mediator, this research provides a theoretical foundation for managing AI as a supplemental resource, rather than a substitute for professional clinical care. The findings emphasize that responsible service delivery requires clear ethical boundaries and transparent communication to foster autonomous health management.

ABSTRACT This paper presents a co-constructed dialogue between a master’s student and their research supervisor, exploring the transformative impact of their research supervisory relationship on completing meaningful research. Framed through the lens of Person-Centered Theory (PCT), the dialogue captures the relational quality of their collaboration, one rooted in trust, authenticity, and mutual respect. Rather than following a traditional academic structure, the paper adopts a narrative format to honour the emotional and intellectual depth of their shared journey. The relationship is likened to a piece of art: the core conditions of PCT form the frame, while the canvas is textured with adaptive, responsive dialogue. Key themes include psychological safety, flexible yet clear boundaries, space for emotional and intellectual risk-taking, and the freedom to be fully oneself. These conditions fostered creativity, clarity, and sustained momentum in the research process. Ultimately, the paper offers a gentle invitation for research supervisors and students to reflect on the power of relational practice within academia particularly when research carries emotional weight. When the supervisory relationship is grounded in person-centered values and viewed as central rather than secondary, it becomes a facilitative force that bridges the personal and professional, enabling research that is both rigorous and deeply human.

Dense retrievers rely heavily on high-quality training triplets, yet existing data construction strategies remain inadequate for reasoning-intensive retrieval tasks involving multi-hop reasoning, entity relation tracing, and implicit evidence composition. Positive samples are often based on shallow semantic relevance and fail to capture explicit reasoning chains, while negative samples are typically sampled from lexical overlap or random candidates and therefore provide limited supervision for learning clear decision boundaries. To address these issues, we propose S-Gens, a structure-aware synthetic data generation framework for enhancing reasoning-intensive dense retrieval. S-Gens uses relation paths in an external knowledge graph to synthesize queries and structurally consistent positive samples, and further constructs semantically similar but structurally inconsistent hard negatives. To improve data reliability, we introduce a Siamese graph neural network-based consistency filtering mechanism. Because S-Gens operates entirely during offline supervision construction, it remains model-agnostic, preserves the original inference architecture, and is complementary to graph-guided retrieval or RAG pipelines that inject structure online. Experiments on five benchmark datasets show that S-Gens consistently improves multiple trainable retrievers, with the largest gains on multi-hop reasoning tasks such as WebQSP and HotpotQA. These results indicate that structure-aware synthetic supervision can effectively improve dense retrieval in reasoning-intensive settings.

According to scientific literature, temporomandibular joint (TMJ) dysfunction is diagnosed in almost 82% of the adult population. Diagnosis of this pathology is quite complex. The phenomenon of pain that accompanies the manifestation of dysfunction is the most difficult symptom in the diagnosis and treatment of TMJ dysfunction, since it is a purely subjective characteristic. Patients with TMJ dysfunction complicated by РMFS currently constitute the most difficult group of dental patients to treat. The specificity of pain in temporomandibular joint dysfunction is that it does not have a clear boundary and location, which complicates the differential diagnosis of this ­pathology. The problem of diagnosing and treating diseases involving the peripheral nervous system and their complications with chronic pain syndrome is highly relevant, and the number of such patients shows a tendency to increase. Тoday, there is a need to study and combine the pathogenesis of TMJ dysfunction, especially complicated by myofascial pain syndrome, to ensure the development of new effective treatment programs. Aim: to analyze the nature and depth of manifestations of electroencephalogram changes in patients with temporomandibular joint dysfunction complicated by myofascial pain syndrome, in order to improve the quality of dental care. Material and methods. For a complete, comprehensive examination and treatment, we selected 84 patients with clear clinical signs of TMJ dysfunction and pain manifestations of varying degrees of intensity for the main group of the study. The selection of patients for the study was controlled, using the stratified randomization method. A control group of patients of the appropriate age range (20 people) was formed and examined separately, who had intact dentition, physiological bite forms and an absolute absence of clinical signs of dysfunctional changes in the TMJ (H = 0), including the absence of pain. The age of the patients ranged from 18 to 44 years. Of the 84 people, 62 (74%) were female, 22 (26%) were male. Results. Assessment of the effectiveness of the treatment method proposed by us is a mandatory and necessary condition for making clinical decisions based on the pathogenetic mechanism of TMJ dysfunction development complicated by РMPS. The diagnostic algorithm proposed by us, which included monitoring of the patient’s initial condition and personalized correction during treatment, revealed not only the clinical significance of the results obtained, but also significant quantitative characteristics in the form of integral indicators of the TMJ condition as a single holistic biosystem. Conclusions. According to the results of clinical examination of patients with TMJ dysfunction complicated by BMFS, it was determined: mild pain is characteristic of 34.5% of patients, moderate pain is characteristic of 57.1% of patients, severe unbearable pain is experienced by 8.3% of patients. The gender ratio of this pathology is 5.25:1 with a female predominance. A comprehensive scheme of measures for preventing disease progression, preventing complications and comprehensive treatment of TMJ dysfunction complicated by РMFS has been developed and proposed, the risk of not achieving the treatment result has been calculated: with the method we have proposed, it is minimal. An increase (p = 0.027) in the risk of not achieving the treatment effect by changing the pain syndrome with an increase in the dysfunction index H = 7 (95% CI 5.5–10) for each point of exceeding the indicator was found. It should also be noted that an increase (p = 0.027) in the risk of not achieving the treatment effect by changing the dysfunction index with an increase in the VAS index (95 % CI 2.8–2.1) for each point of exceeding the indicator value. The achieved results are satisfactory.

ABSTRACT Evidence synthesis is increasingly central to research in engineering, computing, and Earth science, yet most service models and infrastructure for systematic and scoping reviews were developed in health sciences. Science and technology librarians now face surging, heterogeneous demand from novice STEM teams, with no clear service boundaries, shared standards, or workload visibility to manage it. This practice-based article presents a service blueprint for evidence synthesis support in STEM libraries, grounded in the methodological and disciplinary norms of natural, pure, and applied sciences. The blueprint defines a three-tier engagement model – consultation, instruction, and collaboration/co-authorship – governed by explicit eligibility and triage criteria and formalized for intensive projects through memoranda of understanding. Core quality controls include PRISMA-S–aligned search documentation, PRESS-style peer review of search strategies, and an append-only decision log to document scope and methodological decisions over time. Practitioner tools such as brainwriting prompts, concept mapping templates, eligibility and search-term scaffolds, and metacognitive checklists are illustrated with engineering, computing, and Earth science scenarios. Solo-librarian and team-based staffing models are described, along with a lightweight metrics dashboard tracking demand, turnaround, quality indicators, equity, and librarian time. An implementation roadmap outlines steps for securing administrative buy-in and iteratively refining the model. The blueprint supports scalable, reproducible, and sustainable evidence-synthesis services for STEM communities.

This study aims to analyze the problem of legal certainty in the application of living law in criminal law, particularly following its recognition in Government Regulation No. 55 of 2025. The integration of living law without clear normative boundaries has the potential to create legal uncertainty, disparity in rulings, and uncontrolled expansion of judicial discretion. This situation highlights a tension between the need for legal certainty, as guaranteed by the principle of legality, and the demand for substantive justice that exists within society. This study employs a normative legal method with a conceptual and statutory approach. Qualitative analysis is conducted to examine the relationship between the principle of legality and living law, as well as to formulate a normative model capable of reconciling the two. The research findings indicate that the primary issue does not lie in the recognition of living law as a concept, but rather in the absence of clear criteria and structured verification mechanisms in its application. To address this issue, this study proposes a model of limited legality based on judicial verification, which positions the principle of legality as the primary rule, while treating living law as a secondary consideration that can only be applied through the fulfillment of cumulative requirements and strict verification mechanisms. This model implies a limitation on judicial discretion within a normative framework that is testable and accountable, thereby maintaining a balance between legal certainty and substantive justice within the criminal law system. Thus, the proposed model functions not only as a mechanism for reconciliation but also as a normative control instrument over the application of living law.

Introduction: Procurement of human spinal cord tissue for research is rare and typically occurs through deceased organ donation pathways. Existing tissue banking guidance, largely derived from surgical pathology practice, does not adequately address the ethical, anatomical, and operational constraints unique to donation-integrated spinal cord procurement. Objectives: The objective of this article is to describe institutionally implemented governance and prioritization practices for donation-integrated procurement and research banking of human spinal cord tissue within a tertiary academic hospital setting. Methods: This review summarizes practice-based governance guidelines developed and applied within an established organ donation program. The approach emphasizes conservative prioritization, strict separation of clinical and research roles, a tiered informed consent structure, explicit stopping rules, and defined governance structures for procurement decision making. The spinal cord is treated as the ethically defining and rate-limiting tissue, with biologically associated tissues considered only under conditional circumstances. Results: The governance practices delineate clear operative boundaries for when spinal cord procurement may proceed, establish decision hierarchies for inclusion of associated tissues, and define conditions under which procurement must be deferred. Operational experience from the institutional donation–integrated procurement program included 96 authorized research donors, of whom 92 were enrolled under the research protocol and 88 proceeded to successful spinal cord procurement and accessioning into the institutional biobank. Central principles guiding procurement include preservation of donor dignity, noninterference with organ donation workflows, maintenance of anatomical integrity, and irreversible transition of tissue from the clinical to the research domain under institutional custodianship. Conclusions: Governance-centered, practice-based approaches are essential for ethically grounded procurement of rare human spinal cord tissue in organ donation settings. Emphasis on upstream decision making, explicit scope limits, and conservative default thresholds supports translational research while preserving clinical primacy and ethical clarity. These principles may assist other centers seeking to integrate spinal cord research within established organ donation programs.

ABSTRACT This paper takes the integrable Kuralay equations as the research object, aiming to derive various types of soliton solutions and explore the integrable motion of space curves induced by the equations, so as to support the research on nonlinear spin dynamics in the field of magnetic materials. In this paper, the unified ‐expansion method is used to systematically derive soliton solutions expressed by Jacobian elliptic functions. Through parameter degeneration (degenerating into hyperbolic function solutions when the modulus and trigonometric function solutions when ), the evolutionary relationship among different solutions is revealed. Eight types of soliton solutions are obtained in this paper, including periodic trigonometric function solutions, parabolic function solutions, singular solutions, and M‐shaped/W‐shaped solitons (corresponding to Figures 1–8). The parameter configurations and 2D/3D graphical characteristics of each solution are clarified (e.g., kink waves show unidirectional step‐like transitions, and M‐shaped bright waves possess symmetric double peaks). All solitons have clear boundaries without diffusion. For numerical verification, the fourth‐order Runge‐Kutta method combined with Richardson extrapolation is adopted, reducing the calculation error from to . In addition, phase portrait, bifurcation, and initial condition sensitivity analyses are supplemented, and the stability of equilibrium points is classified by the eigenvalues of the Jacobian matrix. In terms of physical implications, the soliton solutions are deeply associated with magnetic spin systems. For instance, kink waves correspond to the migration of spin domain walls, supporting the reading and writing operations of magnetic storage; M‐shaped/W‐shaped solitons contribute to the realization of multistate and high‐density storage. The quantitative influences of parameters on the low‐power consumption and high‐capacity performance of devices are clarified, providing theoretical support and practical guidance for the research on nonlinear spin dynamics and the design of magnetic storage and magneto‐optical modulation devices.