Basic Science Research Research Articles

Translational Insights From Cell Type Variation Across Amygdala Subnuclei in Rhesus Monkeys and Humans.

Theories of amygdala function are central to our understanding of psychiatric and neurodevelopmental disorders. However, limited knowledge of the molecular and cellular composition of the amygdala impedes translational research aimed at developing new treatments and interventions. The aim of this study was to characterize and compare the composition of amygdala cells to help bridge the gap between preclinical models and human psychiatric and neurodevelopmental disorders. Tissue was dissected from multiple amygdala subnuclei in both humans (N=3, male) and rhesus macaques (N=3, male). Single-nucleus RNA sequencing was performed to characterize the transcriptomes of individual nuclei. The results reveal substantial heterogeneity between regions, even when restricted to inhibitory or excitatory neurons. Consistent with previous work, the data highlight the complexities of individual marker genes for uniquely targeting specific cell types. Cross-species analyses suggest that the rhesus monkey model is well-suited to understanding the human amygdala, but also identify limitations. For example, a cell cluster in the ventral lateral nucleus of the amygdala (vLa) is enriched in humans relative to rhesus macaques. Additionally, the data describe specific cell clusters with relative enrichment of disorder-related genes. These analyses point to the human-enriched vLa cell cluster as relevant to autism spectrum disorder, potentially highlighting a vulnerability to neurodevelopmental disorders that has emerged in recent primate evolution. Further, a cluster of cells expressing markers for intercalated cells is enriched for genes reported in human genome-wide association studies of neuroticism, anxiety disorders, and depressive disorders. Together, these findings shed light on the composition of the amygdala and identify specific cell types that can be prioritized in basic science research to better understand human psychopathology and guide the development of potential treatments.

Disparities in the Incidence and Prevalence of Psychotic Disorders Between With and Without Disabled

Abstract Background Numerous epidemiological studies on psychotic disorders have been conducted, however, most of the studies were conducted from an etiological perspective, and conducted with small sample sizes relatively few focused on all types of disabled, especially with a long observation period. Moreover, no study has included the whole adult population of a country. Methods This study was conducted using a data set linking the Korean National Health Insurance Service database, and disability registration data. Age-standardized incidence or prevalence rates were calculated during 2008-2017 according to the presence, severity, and type of the disability. Factors associated with psychotic disorders were examined by multivariate logistic regression. Results The age-standardized incidence and prevalence of psychotic disorders was higher among the disabled than among those without disabled across all years, especially those with severe disabled, and intellectual disabled. The gap in the prevalence of psychotic disorders between the disabled and the non-disabled has widened over time. The severe disabled and intellectual disabled showed the strongest associations with the incidence(aOR=3.04,95% CI = 2.93-3.15;aOR=6.18, 95% CI = 5.90-6.47) and prevalence(aOR=7.64,95% CI = 7.58-7.69;aOR=53.62, 95% CI = 53.04-54.22) of psychotic disorders. Conclusions The incidence and prevalence of psychotic disorders were higher in people with disabled, especially those with severe disabled, and intellectual disabled. The government must increase effort to narrow the gap between the non-disabled and disabled. Financial support: This research was supported by the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education (No. 2022R1I1A3070074, and 2022R1I1A1A01068449), and a grant of Patient-Centered Clinical Research Coordinating Center funded by the Ministry of Health & Welfare, Republic of Korea (No. HC23C016500). Key messages • The incidence and prevalence of psychotic disorders were higher in the disabled, especially severe disabled, and intellectual disabled. • Important reasons for these finding may be the ‘low socioeconomic status’ and ‘mental health’ of the disabled.

Nationwide trends in the suicide mortality among the disabled in Korea from 2006 to 2017

Abstract Aims The disabled are one of the priority populations at risk of suicide, but there has been no study of the factors influencing suicide mortality among the disabled in South Korea. Methods To analyze age-standardized suicide mortality (ICD-10 Codes, X60-84) for each year according to the presence, severity and type of disability, we linked three population datasets (National Health Insurance Claims Database, Disability Registry, and Deaths by Cause). Our dataset covers the entire population of South Korea, extended over a 12-year period from 2006 to 2017. The analyses were stratified by sex, and hazard ratios for suicide were determined by multivariate logistic regression after adjustment for socio-demographic and clinical variables. Results The suicide rate among the disabled was 2.24 times higher than among the non-disabled in 2017. The highest suicide rates were observed among intellectual or mental disabled, and severe disabled. In the disabled group, suicide rates were higher among those with medical benefits, older age (over 70 years), and depressive disorders in both male and female. Conclusions Although the disabled people’s suicide is often seen as an individual problem, it actually affects their families, communities and society. Therefore, government must strive to emphasize the broad view of the disabled population - not just the health of individuals, and track suicide trends and identifying risk and protective factors for suicidal behavior. From this information, suicide prevention strategies for the disabled people should be evaluated to identify the most effective interventions. Financial support: This research was supported by the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education (No. 2022R1I1A3070074, and 2022R1I1A1A01068449), and a grant of Patient-Centered Clinical Research Coordinating Center funded by the Ministry of Health & Welfare, Republic of Korea (No. HC23C016500). Key messages • The suicide rate among the disabled was 2.24 times higher than among the non-disabled in 2017. • In the disabled group, suicide rates were higher among those with medical benefits, older age (over 70 years), and depressive disorders in both male and female.

A three-pronged new development model for overcoming the middle-technology trap in China

This article addresses a critical issue facing developing countries: overcoming the “middle-technology trap” to achieve sustainable economic growth. It posits that transitioning to an innovation-driven economic growth model is pivotal for surmounting this trap and is an essential prerequisite for high-quality development. This study introduces a strategic approach through a new development model, emphasizing the synergy among three core systems: basic scientific research, applied technology, and financial support. This “three-pronged” collaboration model is argued to foster sustainable innovation-driven growth, essential for leaping over the “middle-income trap” towards high-quality development. By analyzing the historical trajectories of the Soviet Union and the United States, the article delineates the critical role of the proposed model in fostering an innovation economy. The Soviet Union’s failure and the United States’ success are examined through the lens of their respective approaches to integrating basic scientific research, applied technology, and financial systems. The analysis underscores the necessity of a balanced and interactive relationship among these systems for technological innovation, industrial development, and sustainable economic growth. The article concludes that for China to overcome the “middle-technology trap” and achieve long-term prosperity, it should embrace this “three-pronged” new development model, ensuring continuous scientific exploration, technological innovation, and productivity enhancement.

Extending insights from LeDoux: using movies to study subjective, clinically meaningful experiences in neuroscience.

Neuroscience research with public health relevance to emotional disorders examines brain-behavior relations. Joe LeDoux's legacy advances these efforts in ways that remain truly unique. While recognized for his basic science research, he also inspires applied researchers, guiding an agenda for clinical scientists: understanding the pathophysiology of altered subjective experiences in emotional disorders. For brain imaging, movie-watching approaches help clinicians realize this agenda due to movies' relative strength in evoking rich, meaningful subjective experiences. Here, we describe methodological advances in movie-watching paradigms that might sustain LeDoux's impact by facilitating the discovery of neural mechanisms generating complex emotional responses. Of note, while linking subjective emotion to pathophysiology is a first step, innovations in movie-watching designs, especially involving therapeutic techniques for emotional disorders, can boost clinical application. Leveraging research on pathophysiology to generate novel therapy reflects the clinical legacy sustained through Joe LeDoux's rousing career.

Modulation of the vibrational and optical properties in β copper phthalocyanine under compression

Because copper phthalocyanine (CuPc) has significant uses in industrial devices and pigments, it is a subject of great interest in basic scientific research. Studying and adjusting its photoelectric qualities, in particular, has drawn much attention. In this work, in situ high-pressure experiments were used to investigate in detail the vibrational and optical properties of ground-state β-CuPc up to 13 GPa. Both micro-Raman and ultraviolet and visible light (UV–vis) absorption measurements revealed a phase transition occurring around 3 GPa. Notably, the macrocycle breathing vibration was found to have a remarkable characteristic of first weakening and then strengthening in response to this pressure-induced phase transition. The UV–vis absorption data revealed that the bandgaps corresponding to the two absorption edges decrease gradually with increasing pressure, with one edge disappearing entirely above 11 GPa. Furthermore, the blue β-CuPc can be adjusted to dark green at 10 GPa and ultimately entirely black due to the merging of its absorption bands and redshifts at high pressure. This work improves our understanding of CuPc's intrinsic characteristics under harsh settings and manipulates its color effectively.

Respiratory support strategies for ARDS related to infection

Sepsis is one of the main causes of acute respiratory distress syndrome (ARDS), which continues to be a common cause of high mortality in intensive care units (ICUs). Despite tremendous advances in basic science and clinical research, the high mortality of ARDS remains a major clinical challenge. Currently, there is a lack of specific and effective therapeutic approaches for ARDS, with treatment primarily focused on supporting organ function. This article provided a comprehensive discussion and summary of respiratory support strategies for sepsis associated with ARDS.

Stochastic Control Problems with State Reflections Arising from Relaxed Benchmark Tracking

This paper studies stochastic control problems motivated by optimal consumption with wealth benchmark tracking. The benchmark process is modeled by a combination of a geometric Brownian motion and a running maximum process, indicating its increasing trend in the long run. We consider a relaxed tracking formulation such that the wealth compensated by the injected capital always dominates the benchmark process. The stochastic control problem is to maximize the expected utility of consumption deducted by the cost of the capital injection under the dynamic floor constraint. By introducing two auxiliary state processes with reflections, an equivalent auxiliary control problem is formulated and studied, which leads to the Hamilton-Jacobi-Bellman equation with two Neumann boundary conditions. We establish the existence of a unique classical solution to the dual partial differential equation using some novel probabilistic representations involving the local time of some dual processes together with a tailor-made decomposition-homogenization technique. The proof of the verification theorem on the optimal feedback control can be carried out by some stochastic flow analysis and technical estimations of the optimal control. Funding: L. Bo and Y. Huang are supported by the National Natural Science Foundation of China [Grant 12471451], the Natural Science Basic Research Program of Shaanxi [Grant 2023-JC-JQ-05], the Shaanxi Fundamental Science Research Project for Mathematics and Physics [Grant 23JSZ010], and Fundamental Research Funds for the Central Universities [Grant 20199235177]. X. Yu is supported by the Hong Kong RGC General Research Fund (GRF) [Grant 15304122] and the Research Centre for Quantitative Finance at the Hong Kong Polytechnic University [Grant P0042708].

Christopher Martin Dobson. 8 October 1949 — 8 September 2019

Christopher Martin Dobson was a distinguished biophysical chemist who earned an international reputation for his work on protein folding, misfolding and aggregation. Protein folding is a crucial process in biochemistry where a protein transitions from a disordered state to a structured, three-dimensional form after being synthesized by a ribosome. This transformation is essential for the protein to attain its biological functionality. The intricate folding pathway is guided by various interactions between amino acids within the protein chain. When protein folding goes awry, it can lead to misfolded proteins, which are associated with various disorders such as Alzheimer's and Parkinson's disease. The study of protein folding and misfolding has significant implications for both basic science and medical research. Chris's career spanned almost five decades, resulted in more than 870 publications and established a legacy that will influence the lives of many for decades to come. His outstanding mentorship resulted in some 100 of his former students and post-docs taking up independent positions at academic institutions in all parts of the world, while his research work has left a lasting imprint on the biophysical sciences and inspired an entire generation of research scientists.

Human Neural Organoid Microphysiological Systems Show the Building Blocks Necessary for Basic Learning and Memory.

Brain Microphysiological Systems including neural organoids derived from human induced pluripotent stem cells offer a unique lens to study the intricate workings of the human brain. This paper investigates the foundational elements of learning and memory in neural organoids, also known as Organoid Intelligence by quantifying immediate early gene expression, synaptic plasticity, neuronal network dynamics, and criticality to demonstrate the utility of these organoids in basic science research. Neural organoids showed synapse formation, glutamatergic and GABAergic receptor expression, immediate early gene expression basally and evoked, functional connectivity, criticality, and synaptic plasticity in response to theta-burst stimulation. In addition, pharmacological interventions on GABAergic and glutamatergic receptors, and input specific theta-burst stimulation further shed light on the capacity of neural organoids to mirror synaptic modulation and short-term potentiation, demonstrating their potential as tools for studying neurophysiological and neurological processes and informing therapeutic strategies for diseases.

Super-resolution ultrasound imaging reveals temporal cerebrovascular changes with disease progression in female 5×FAD mouse model of Alzheimer's disease: correlation with pathological impairments

Vascular dysfunction is closely associated with the progression of Alzheimer's disease (AD). A critical research gap exists that no studies have explored the invivo temporal changes of cerebrovascular alterations with AD progression in mouse models, encompassing both structure and flow dynamics at micron-scale resolution across the early, middle, and late stages of the disease. In this study, ultrasound localisation microscopy (ULM) was applied to image the cerebrovascular alterations of the transgenic female 5×FAD mouse model across different stages of disease progression: early (4 months), moderate (7 months), and late (12 months). Age-matched non-transgenic (non-Tg) littermates were used as controls. Immunohistology examinations were performed to evaluate the influence of disease progression on the β-amyloid (Aβ) load and microvascular alterations, including morphological changes and the blood-brain barrier (BBB) leakage. Our findings revealed a significant decline in both vascular density and flow velocity in the retrosplenial cortex of 5×FAD mice at an early stage, which subsequently became more pronounced in the visual cortex and hippocampus as the disease progressed. Additionally, we observed a reduction in vascular length preceding diminished flow velocities in cortical penetrating arterioles during the early stages. The quantification of vascular metrics derived from ULM imaging showed significant correlations with those obtained from vascular histological images. Immunofluorescence staining identified early vascular abnormalities in the retrosplenial cortex. As the disease advanced, there was an exacerbation of Aβ accumulation and BBB disruption in a regionally variable manner. The vascular changes observed through ULM imaging exhibited a negative correlation with amyloid load and were associated with the compromise of the BBB integrity. Through high-resolution, invivo imaging of cerebrovasculature, this study reveals significant spatiotemporal dysfunction in cerebrovascular dynamics accompanying disease progression in a mouse model of AD, enhancing our understanding of its pathophysiology. This study is supported by grants from National Key Research and Development Program of China (2020YFA0908800), National Natural Science Foundation of China (12074269, 82272014, 82327804, 62071310), Shenzhen Basic Science Research (20220808185138001, JCYJ20220818095612027, JCYJ20210324093006017), STI 2030-Major Projects (2021ZD0200500) and Guangdong Natural Science Foundation (2024A1515012591, 2024A1515011342).

Pharmacologic Therapy for Spinal Cord Injury.

Neuroprotective strategies aimed at preventing secondary neurologic injury following acute spinal cord injury remain an important area of clinical, translational, and basic science research. Despite recent advancement in the understanding of basic mechanisms of primary and secondary neurologic injury, few pharmacologic agents have shown consistent promise in improving neurologic outcomes following SCI in large randomized clinical trials. The authors review the existing literature and clinical guidelines for pharmacologic therapy investigated for managing acute SCI, including corticosteroids, GM-1 ganglioside (Sygen), Riluzole, opioid antagonists, Cethrin, minocycline, and vasopressors for mean arterial pressure augmentation. Therapies for managing secondary effects of SCI, such as bradycardia, are discussed. Current clinical trials for pharmacotherapy and cellular transplantation following acute SCI are also reviewed. Despite the paucity of current evidence for clinically beneficial post-SCI pharmacotherapy, future research efforts will hopefully elucidate promising therapeutic agents to improve neurologic function.

Establishment of Nano-ITO induced rat model of indium lung disease and exploration of its pathological characteristics

Objective: To study the dynamic pathological characteristics of lung tissue in a Nano-ITO induced rat model of indium lung disease and to guide clinical and basic scientific research to further explore the mechanisms of pulmonary interstitial injury and pulmonary alveolar proteinosis (PAP). Methods: Dose-response (three divided doses) and time-course studies (six exposure periods) were performed to investigate the pulmonary toxicity induced by Nano-ITO. At the end of the experiment, cytokine levels and oxidative stress were analyzed in the bronchoalveolar lavage fluid. Rat lung tissues were also collected for staining with H&E, PAS, Masson's, Oil Red O, and Sirius Red. Ultrastructure of lung tissue cells was observed by transmission electron microscopy. Expression of IL-1β, HO-1, SP-A was observed by immunohistochemistry, and the expression of α-SMA was observed by immunofluorescence. Results: Nano-ITO intratracheal instillation caused pulmonary toxicity by inducing acute inflammation at 3 days, granuloma (nodule) formation and collagen hyperplasia at 14 days, and alveolar proteinosis at 56 days post-exposure. Pathological features of lung tissue included typical alveolar exudates, cellular fibrous nodules, enlarged alveolar fat droplet fusion, cholesterol crystal granuloma and pulmonary alveolar proteinosis. The intra-alveolar eosinophilic material (multilamellated, lattice-shaped, and myelin-like structure) showed abnormal lamellar bodies (features of alveolar type Ⅱ epithelial cells) and abundant rough endoplasmic reticulum and mitochondria (features of fibroblasts) on transmission electron microscopy of the lung tissue from rats exposed to Nano-ITO on the 84th day. Cellular pathology revealed that a large amount of amorphous PAS stain-positive substances appear in BALF at 28 days post-exposure, and pink granular protein-like substances can be seen in alveolar macrophages. Conclusions: There are three characteristic developmental stages in Nano-ITO induced pulmonary injury in rats, acute inflammation, granuloma (nodule) formation and collagen proliferation, and pulmonary alveolar proteinosis, which provide a reference feature model for the pathogenesis of indium lung disease.

Advancing Neurosurgery Through Translational Medicine: The Modern Surgeon's Role

In the dynamic field of neurosurgery, the concept of translational medicine plays a pivotal role in bridging the gap between scientific discoveries and clinical applications. This editorial delves into the evolving landscape of neurosurgery, highlighting the integral role of modern neurosurgeons in research, learning, and patient care. Translational Medicine: Connecting Bench to Bedside Translational medicine refers to the process of applying findings from basic science research to enhance human health and well-being. In neurosurgery, this often involves integrating insights from disciplines like neuroscience, genetics, and biomedical engineering into clinical practice. For example, discoveries in neuroimaging techniques or molecular biology can lead to novel treatments for neurological disorders. The Modern Neurosurgeon: A Scientist and Clinician Today’s neurosurgeon is not merely a technician but a scientist at heart. Engaging in research is not just an academic pursuit but a fundamental aspect of enhancing patient care. By actively participating in or leading research initiatives, neurosurgeons contribute to expanding the boundaries of knowledge and improving treatment outcomes. They collaborate with basic scientists, engineers, and other medical specialists to innovate and develop new therapies. Learning and Innovation Continuous learning is ingrained in the ethos of neurosurgery. Advances in technology and surgical techniques require neurosurgeons to stay abreast of the latest developments through conferences, workshops, and lifelong learning. Moreover, the feedback loop between research and clinical practice fosters an environment of continuous improvement. Lessons learned from patient outcomes inform future research directions, creating a virtuous cycle of innovation. Patient-Centric Care At its core, neurosurgery is about alleviating suffering and restoring function. Translational research allows neurosurgeons to offer more personalized treatments based on genetic, molecular, and imaging data. Tailoring therapies to individual patient profiles enhances efficacy and minimizes risks. Furthermore, participation in clinical trials enables neurosurgeons to offer cutting-edge treatments to patients who may have exhausted conventional options. Challenges and Opportunities While the integration of translational medicine into neurosurgery holds immense promise, it also presents challenges. Research endeavors require substantial resources, collaboration across disciplines, and rigorous ethical considerations. Moreover, translating laboratory findings into clinical applications demands patience and persistence. Conclusion The modern neurosurgeon’s role in translational medicine is multifaceted and indispensable. By embracing research, continuous learning, and patient-centered care, neurosurgeons not only advance the field but also improve the lives of their patients. As technology and knowledge continue to evolve, the collaboration between basic scientists and clinicians will be pivotal in shaping the future of neurosurgery, ultimately leading to better outcomes and enhanced quality of life for patients worldwide.

Experimental study on the transitional behavior of the room fire under sub-atmospheric pressures

Fuel diffusion combustion and flame behavior within a confined space is a fundamental scientific problem in the energy and combustion field, it involves complicated chemical reaction, fire behavior, thermal dynamics, heat transfer, room-opening flowing and sub-processes of over-ventilated and under-ventilated room fire. However, previous classical knowledges and models about it are usually at standard atmospheric pressure (100 kPa), no work considers the fire evolution and flame behavior within the room for various sub-atmospheric pressures. In this paper, the experiment is carried by utilizing a 0.3 m × 0.3 m × 0.3 m reduced-scale cubic room with an opening of various dimensions, and using propane as fuel to simulate fuel combustion inside, which was placed at the Low Pressure Chamber creating various atmospheric pressures. The flame behavior and temperature evolution within the room was recorded and measured with 693 experimental conditions. The experimental results show that, (1) the air inflowing rate through opening into room and heat release rate within the room increase with atmospheric pressure; (2) the flame extinction or reaching well-mixed condition are more easily occurred for lower atmospheric pressure and opening dimension. These characteristic parameters and fire behaviors could be well described by new corrected opening ventilation factor involving effect of atmospheric pressure and the opening dimension. The research work fills the gap in basic scientific research of building fire at sub-atmospheric pressures, which also has important practical applicability of urban building fire protection design code (such as the materials in wall) in different altitudes, room fire suppression, and protecting urban safety.

The current status of the development of photomemoryristors in the field of neuromorphic vision

As a new type of device, photoelectric memristors have the potential to mimic the human visual system. Researchers have been able to realize image enhancement, noise reduction, recognition and classification functions through optoelectronic modulation, which has a wide range of applications in the fields of neuromorphic computing and image processing. This paper discusses and analyzes the overview of amnesia, the research progress of photoelectric amnesia, as well as the application and prospect of photoelectric amnesia in artificial vision systems. Through the discussion, this paper concludes that photoelectric memristors have important application potentials in visual perception and recognition, intelligent surveillance systems, and medical image analysis. Photoelectric memristors can simulate part of the functions of the human visual system, provide more efficient and accurate image processing solutions, and are expected to bring technological breakthroughs in a number of application areas. By improving the accuracy and efficiency of image recognition and categorization, it can promote the development of intelligent systems. This is not only an important impetus for basic scientific research, but also has a profound impact on practical applications and industrial development. The prospect of wide application of photoelectric memristor means that it has the potential to become a core component of the next generation of intelligent systems, which will drive the progress and change of the whole field of science and technology.

Management of periprosthetic joint infection of the shoulder: A narrative review

Evidence for management of shoulder periprosthetic joint infection (PJI) has traditionally originated from the hip and knee literature. The differing microbiome, anatomy and implants used in the shoulder mean this evidence is not always directly transferrable. The 2018 Philadelphia International Consensus Meeting for the first-time produced evidence-based guidelines and diagnostic criteria relating specifically to PJI of the shoulder. These guidelines and criteria recognize the pathogenicity of lower virulence organisms in the shoulder which often means clinical presentation is less obvious than other joints.The role of Cutibacterium acnes in shoulder PJI is the subject of increasing basic science and clinical research and advances in microbiological research may help to understand the pathology behind shoulder infections. There is new evidence that outcomes after revision shoulder arthroplasty are dependent on the virulence of the causative organism. An individualised approach to treatment considering host factors, organism, soft tissues and bone stock is recommended.Debate continues in the literature regarding the indications of one- or two-stage revision and the latest evidence is discussed and synthesized in this review article. We advocate careful multidisciplinary team decision making for cases of shoulder PJI and recognize a limited role for debridement and implant retention in acute shoulder PJI (<6 weeks). There appears to be a role for one-stage revision in lower risk cases with low virulence organisms but caution against its’ universal adoption. In higher risk or complex cases, there remains a clear role for two-stage revision arthroplasty, and we detail the specifics of this protocol and procedure from our tertiary shoulder and elbow unit.

Careers in Skull Base and Open Cerebrovascular Surgery: Factors Associated with Academic Job Placement

Abstract Introduction Fellowship training has become increasingly sought after by neurosurgeons aiming for academic careers over the last two decades. This study assesses American Board of Neurological Surgeons board-certified neurosurgeons specializing in skull base or open cerebrovascular surgery between 2013 and 2023, focusing on identifying academic career predictors through demographic and academic outputs. Methods The study utilized the American Association of Neurological Surgeons Neurosurgical Fellowship Training Program Directory to identify neurosurgeons certified from 2013 to 2023, gathering demographic details and academic productivity from Scopus. Results Among 173 neurosurgeons, 87.86% were male, 36.36% were graduates from top 40 National Institutes of Health-funded medical schools, and 49.42% completed their residency in highly ranked departments. In univariate analysis, predictors for an academic career included publishing in the field before residency (p = 0.03054), a higher h-index before and after residency (p = 0.03976 and 0.0003101), and increased publication volume during and up to 3 years post-fellowship (2.284e-06). Multivariate analysis found that publication volume during and up to 3 years post-fellowship (odds ratio [OR] = 4.98, 95% confidence interval [CI]: 2.07–11.9, p = 0.0003) and basic science publications (OR = 2.4, 95% CI: 1.05–5.49, p = 0.038) were the most significant predictors of academic career placement. Conclusion The study underscores the strong link between the academic career success of neurosurgeons trained in skull base and open cerebrovascular surgery and their research productivity, particularly publication volume during key career stages and involvement in basic science research. This highlight sustained research activity as a critical determinant of academic career achievement, surpassing the influence of training institution prestige.

Ranking Model Averaging: Ranking Based on Model Averaging

Ranking problems are commonly encountered in practical applications, including order priority ranking, wine quality ranking, and piston slap noise performance ranking. The responses of these ranking applications are often considered as continuous responses, and there is uncertainty on which scoring function is used to model the responses. In this paper, we address the scoring function uncertainty of continuous response ranking problems by proposing a ranking model averaging (RMA) method. With a set of candidate models varied by scoring functions, RMA assigns weights for each model determined by a K-fold crossvalidation criterion based on pairwise loss. We provide two main theoretical properties for RMA. First, we prove that the averaging ranking predictions of RMA are asymptotically optimal in achieving the lowest possible ranking risk. Second, we provide a bound on the difference between the empirical RMA weights and theoretical optimal ones, and we show that RMA weights are consistent. Simulation results validate RMA superiority over competing methods in reducing ranking risk. Moreover, when applied to empirical examples—order priority, wine quality, and piston slap noise—RMA shows its effectiveness in building accurate ranking systems. History: Accepted by Ram Ramesh, Area Editor for Data Science and Machine Learning. Funding: This research was supported by the Beijing Municipal Natural Science Foundation [Grant 1222002], the National Natural Science Foundation of China [Grants 12071457, 12201018, 12301364, 71925007, 72091212, and 72273120], National Quality Infrastructure [Grant 2022YFF0609903], the Chinese Academy of Sciences Project for Young Scientists in Basic Research [Grant YSBR-008], and the Natural Science Foundation of Anhui Province [Grant 2308085QA09]. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://doi.org/10.1287/ijoc.2023.0257 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2023.0257 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .

Generated genuine tripartite steering and its monogamy in the background of a Kerr-Newman black hole* *Supported by the National Natural Science Foundation of China (12205133, LJKQZ20222315, JYTMS20231051), and the Special Fund for Basic Scientific Research of Provincial Universities in Liaoning (LS2024Q002)

We study the redistribution of quantum steering and its monogamy in the presence of a four-dimensional Kerr-Newman black hole. The gravitational effect of the Kerr-Newman black hole is shown to generate genuine tripartite steering between causally disconnected regions, depending on the polar angle, angular momentum, electric charge, and magnetic charge of the black hole. We obtain strong evidence of steering monogamy, that is, the "sudden death" of the A → B steering results in the "sudden birth" of B → B steering. We also obtain the condition of maximal steering asymmetry, that is, , revealing the transition between two-way and one-way steering in Kerr-Newman spacetime.