Brain Time Stack图像融合技术在CT中的应用

目的:分析Brain Time Stack图像融合技术在CT中的应用。方法:选取2021年3月—2022年9月衡水市第四人民医院收治的50例CT检查患者作为研究对象。所有患者进行CT检查并进行Brain Time Stack后处理。比较四组不同部位CT值、标准差(SD)、信噪比(SNR)。比较四组图像主观质量评分。分析不同部位CT值、SD、SNR与图像主观质量评分的相关性。结果:B组的延髓、额叶灰质、额叶白质、小脑内侧、小脑外侧、颞肌肌肉CT值明显低于A组;C组的延髓、脑室、额叶白质、小脑内侧、小脑外侧、颞肌肌肉CT值高于A组;D组延髓、额叶灰质、颞肌肌肉CT值明显低于A组,脑室、额叶白质、小脑外侧CT值明显高于A组;C组延髓、额叶灰质、额叶白质、小脑内侧、小脑外侧、颞肌肌肉CT值明显高于B组;D组延髓、脑室、额叶白质、小脑内侧、小脑外侧、颞肌肌肉CT值明显高于B组;D组延髓、额叶灰质、额叶白质、小脑内侧、小脑外侧、颞肌肌肉CT值明显低于C组;D组脑室CT值明显高于C组,差异有统计学意义(P<0.05)。B组、C组、D组延髓、脑室、额叶灰质、额叶白质、小脑内侧、小脑外侧、颞肌肌肉SD值明显低于A组;C组延髓、脑室、额叶白质、小脑内侧、小脑外侧、颞肌肌肉SD值均明显高于B组;C组额叶灰质SD明显低于B组;D组延髓、脑室、额叶灰质、额叶白质、小脑内侧、小脑外侧、肌肉SD均明显低于B组、C组,差异有统计学意义(P<0.05)。B组、C组、D组延髓、脑室、额叶灰质、额叶白质、小脑内侧、小脑外侧、颞肌肌肉SNR均明显高于A组;C组、D组延髓、额叶灰质、额叶白质、小脑内侧、小脑外侧、颞肌肌肉SNR值明显高于B组;C组、D组脑室SNR明显低于B组;D组延髓、脑室、额叶灰质、额叶白质、小脑内侧、小脑外侧、颞肌肌肉SNR明显高于C组,差异有统计学意义(P<0.05)。D组图像主观质量评分最高,差异有统计学意义(P<0.05)。延髓、脑室、额叶灰质、额叶白质、小脑内侧、小脑外侧及颞肌肌肉SD与主观质量评分呈明显负相关,SNR与主观质量评分间呈明显正相关,差异有统计学意义(P<0.05)。结论:利用Brain Time Stack图像融合技术对头部CT扫描检查图像处理,动脉期结合前一期及后一期的图像数据在处理后具有更好的质量和更少的噪音。

The Gut Brain Connection

The gut-brain connection is a bidirectional communication system that links the gut microbiome to the central nervous system (CNS). The gut-brain axis communicates through a variety of mechanisms, including the release of hormones, neurotransmitters, and cytokines. These signaling molecules can travel from the gut to the brain and vice versa, influencing various physiological and cognitive functions. Emerging therapeutic strategies targeting the gut-brain connection include probiotics, prebiotics, and faecal microbiota transplantation (FMT). Probiotics are live microorganisms that are similar to the beneficial bacteria that are naturally found in the gut. Prebiotics are non-digestible fibers that feed the beneficial bacteria in the gut. FMT is a procedure in which faecal matter from a healthy donor is transplanted into the gut of a person with a diseased microbiome. Probiotics, prebiotics, and FMT have been shown to be effective in treating a variety of gastrointestinal disorders, and there is growing evidence that they may also be effective in treating neurological and psychiatric disorders. This review explores the emerging field of the gut-brain connection, focusing on the communication pathways between the gut microbiome and the central nervous system. We summarize the potential roles of gut dysbiosis in various neurological and psychiatric disorders. Additionally, we discuss potential therapeutic strategies, research limitations, and future directions in this exciting area of research. More research is needed to fully understand the mechanisms underlying the gut-brain connection and to develop safe and effective therapies that target this pathway. However, the findings to date are promising, and there is the potential to revolutionize the way we diagnose and treat a variety of neurological and psychiatric disorders.

Planning Target Volume Margin in Linac-Based Stereotactic Radiosurgery for Brain Metastases

Background: The treatment of brain metastases with radiotherapy has shifted to the use of Stereotactic Radio-surgery (SRS). The technical issue of expanding the treatment volume around the Gross Tumor Volume (GTV) is a current debate. Radiotherapy centers use variable GTV-PTV margins, ranging from one to 2 mm. Material and Methods: We performed a dosimetric comparison in plans of twenty patients using three margins: PTV zero, PTV1, and PTV2. We also developed imaginary Peel volumes. These volumes are described as follows: Peel1 = PTV1 − GTV, Peel2 = PTV2 − GTV. Results: Our results showed that the mean PTV volume differed significantly across the different margins (p = 0.000). The V12 of the brain significantly varied as a function of PTV margin (p = 0.000). The target coverage and plan quality indices were not significantly different. The Peel volume dosimetric analysis showed that the mean dose was significantly higher in the nearby normal brain tissue: Peel1 (p = 0.022) and Peel 2 (p = 0.013). Conclusion: According to our dosimetric analysis, expanding the GTV into a PTV by 1 mm margin is more convenient than 2 mm.

Isolated Third Nerve Cranial Palsy: Complication of Brain Aneurysm

This case report highlights a critical and emergent condition, isolated third nerve cranial palsy due to a brain aneurysm. It emphasizes the importance of differential diagnosis and attentiveness to the physical exam in an emergency setting. The detailed progression from initial symptoms and misinterpretation to final diagnosis offers valuable insight into the dangers of overlooking critical diagnoses. A bilobed intracranial aneurysm arising from the internal carotid artery (ICA) caused symptoms in this patient that could have been attributed to a less malignant etiology, such as a complex migraine. Overlooking the urgency of the situation and missing the diagnosis could have had a grave and irreversible outcome.

基于三维运动捕捉技术构建蒙医震脑术三维虚拟仿真平台的视觉呈现

背景:基于三维运动捕捉技术可以构建精准的、客观量化的医学虚拟仿真模型,有利于临床学习者精准、深入理解和掌握各种传统疗术。目前中医虚拟仿真模型已有报道,但蒙医传统疗术的虚拟仿真模型尚未见报道。目的:构建一种基于三维运动捕捉技术的交互式三维可视化的蒙医震脑术虚拟仿真模型。方法:使用Motion Analysis三维光学运动捕捉系统和足底测力台采集蒙医专家的运动捕捉数据,在Motion Builder软件中构建震脑术三维动作模型,使用Maya软件构建角色模型并与动作模型相匹配,运动Unity3D软件构建蒙医震脑术虚拟仿真系统,系统整合蒙医震脑术操作3D动画、运动学和动力学参数信息。结果与结论:通过三维运动捕捉技术和计算机仿真重现蒙医震脑术操作,能够显示施术者和受试者的运动姿态,记录关节运动的关键空间位置参数与变化情况,得出运动过程中的运动学、动力学参数。运用交互式三维虚拟仿真技术,实现蒙医震脑术的三维虚拟仿真的视觉呈现,为蒙医震脑术手法的标准化、数字化、可视化研究奠定基础。

Management of Traumatic Brain Injuries at the Kara Regional Hospital

Introduction: Traumatic Brain Injury (TBI) is a major public health problem causing significant morbidity and mortality in young adults. This study aimed to describe the epidemiological, diagnostic, therapeutic, and evolutionary aspects of TBI. Materials and Methods: This was a prospective, descriptive study conducted from 1 April 2022 to 31 March 2023 on patients admitted to and treated for cranioencephalic trauma in the General Surgery department of Kara Regional Hospital. Results: Eighty-three (83) patients with cranioencephalic trauma were managed out of 773 patients admitted to the department during the study period. The mean age was 34 ± 14.98 years and the sex ratio was 3.6 in favour of men. Motorbike taxi drivers were the social group most affected (n = 33, 40%). The causes of trauma were dominated by public road accidents (n = 80;96%). TBI was mild (n = 40;48%), moderate (n = 35;42%) and severe (n = 8;10%). Cerebral CT scans were performed in 19 patients (23%). Cerebral contusion (n = 4) was the most frequent cerebral lesion. Six patients (7%) with severe head injuries were transferred to Kara University Hospital. Six deaths (7%) occurred in patients with severe head injuries. The main sequelae were intermittent headaches in all patients reviewed, and memory problems (6%). Conclusion: Traumatic brain injuries are common at Kara Regional Hospital. Severe cranial trauma is less frequent but leads to death because of financial difficulties and limited technical facilities.

Research Progress on Brain-Derived Neurotrophic Factor (BDNF) in the Sequelae of Stroke

The research progress of brain-derived neurotrophic factor (BDNF) in the treatment of sequelae of stroke is an important topic. Stroke is among the diseases with the highest mortality and disability rates among the elderly in China. BDNF plays an important role in the development and functional maintenance of the nervous system. In recent years, the application value of BDNF in rehabilitation therapy has gradually received attention. This study has adopted a systematic literature review method, searched Chinese and English databases, screened relevant studies, and conducted data extraction and quality evaluation. This review systematically introduced the research progress of BDNF in the correlation with post-stroke sequelae, with special attention to its application in post-stroke depression, motor dysfunction, and cognitive dysfunction. The results showed that a decrease in BDNF levels is closely related to the exacerbation of depressive symptoms, limited recovery of motor dysfunction, and the occurrence of cognitive dysfunction. BDNF, as a key neurobiological factor, has shown significant potential in the rehabilitation treatment of stroke. By exploring the potential of BDNF as a therapeutic target to prevent and treat sequelae of ischemic stroke, the current research bottlenecks, and the development trends of future treatment strategies.

Expectations and Level of Satisfaction of the Patient with Parkinson’s Disease Undergoing Deep Brain Stimulation Surgery at the National Institute of Neurology and Neurosurgery

Background: Deep brain stimulation (DBS) is an established treatment for patients with advanced Parkinson’s disease (PD). Reports show continued patient satisfaction after surgery despite not maintaining clinical improvement as measured by evolution scales. Objectives: The present study sought to explore expectations and level of satisfaction in patients after DBS surgery with a semi-structured questionnaire and subsequent correlation with functional scales, Quality of Life (QoL), and motor and non-motor symptoms. Methods: We performed descriptive statistics to represent demographic data, Wilcoxon rank tests to determine significant differences, and Spearman correlation between the applied scales. Results: We evaluated 20 patients with a history of DBS surgery. 45% were female, with a mean age of 55.7 ± 14.15 years, a mean disease duration of 13.42 ± 8.3 years, and a mean time after surgery of 3.18 ± 1.86 years. Patients reported surgery meeting expectations in 85.5% and continued satisfaction in 92%. These two variables showed a significant correlation. Conclusions: This sample of patients remained satisfied after DBS surgery, although we found no differences in motor and non-motor clinimetric scales. Further studies are needed to confirm the importance of assessing quality of life in patients with DBS.

Neuropsychological Profile of a Patient with Acquired Brain Damage Following Vascular Lesion of the Left Anterior Cingulate Cortex

Stroke is a physiological alteration associated with changes in blood flow that can result in sudden-onset cognitive impairment. It has a heterogenous clinical presentation with varying degrees of severity correlated with specific central nervous system zones or areas, and its prognosis is uncertain. This case study describes a 62-year-old male patient with acquired brain damage of the anterior cingulate cortex as a result of an ischemic event in the territory of the left anterior cerebral artery. Cognitive function was assessed using the neuropsychological executive function and frontal lobe test battery (BANFE-2) as well as other neuropsychological tests. The results show a profile of higher mental functions characterized by the presence of dysexecutive syndrome with marked behavioral alteration and diencephalic amnesia. .

Effect Study of the Recombinant Human Brain Natriuretic Peptide in Patients with Heart Failure Combined with Hypotension

Objective: This paper aims to investigate the effect of applying recombinant human brain natriuretic peptide in patients with heart failure combined with hypotension. Recombinant human brain natriuretic peptide is a synthetic polypeptide drug that is primarily used to treat acute heart failure. Its mechanism of action closely mimics that of human endogenous brain natriuretic peptide. By binding to receptors on cardiomyocytes, it exerts its pharmacological effects. Methods: For the study, 76 heart failure patients with hypotension were selected from our hospital between May 2022 and June 2023. These patients were divided into two groups: a control group and an observation group, each comprising 38 patients. The control group received dopamine treatment, while the observation group was treated with recombinant brain natriuretic peptide. The objective was to compare the effects of the treatments in both groups by analyzing cardiac function indices and levels of vasoactive substances to identify any significant differences in outcomes. Results: The overall response rate of the patients in the observation group and the control group was 94.74% and 73.68%, significantly higher as compared with the observation group (P 0.05). After the following treatment, BNP, ANNP and urine output in the observation group were significantly different compared with the control group, of the statistical significance (P Conclusion: For the treatment of heart failure patients with hypotension, the clinical application of recombinant human brain natriuretic peptide is the most ideal, and significantly improves the cardiac function of patients, which is worth popularizing.

Brain Functional Network Changes in Patients with Poststroke Cognitive Impairment Following Acupuncture Therapy

Background: The mechanisms by which acupuncture affects poststroke cognitive impairment (PSCI) remain unclear. Objective: To investigate brain functional network (BFN) changes in patients with PSCI after acupuncture therapy. Methods: Twenty-two PSCI patients who underwent acupuncture therapy in our hospital were enrolled as research subjects. Another 14 people matched for age, sex, and education level were included in the normal control (HC) group. All the subjects underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans;the PSCI patients underwent one scan before acupuncture therapy and another after. The network metric difference between PSCI patients and HCs was analyzed via the independent-sample t test, whereas the paired-sample t test was employed to analyze the network metric changes in PSCI patients before vs. after treatment. Results: Small-world network attributes were observed in both groups for sparsities between 0.1 and 0.28. Compared with the HC group, the PSCI group presented significantly lower values for the global topological properties (γ, Cp, and Eloc) of the brain;significantly greater values for the nodal attributes of betweenness centrality in the CUN. L and the HES. R, degree centrality in the SFGdor. L, PCG. L, IPL. L, and HES. R, and nodal local efficiency in the ORBsup. R, ORBsupmed. R, DCG. L, SMG. R, and TPOsup. L;and decreased degree centrality in the MFG. R, IFGoperc. R, and SOG. R. After treatment, PSCI patients presented increased degree centrality in the LING.L, LING.R, and IOG. L and nodal local efficiency in PHG. L, IOG. R, FFG. L, and the HES. L, and decreased betweenness centrality in the PCG. L and CUN. L, degree centrality in the ORBsupmed. R, and nodal local efficiency in ANG. R. Conclusion: Cognitive decline in PSCI patients may be related to BFN disorders;acupuncture therapy may modulate the topological properties of the BFNs of PSCI patients.

Brain Research on Mental Disorders: A Criticism

Objective: To expose the problems and inherent limitations of neuroscience-based brain research on mental disorders. Method: Discussion of the theory underlying brain research on mental disorders, followed by a systematic evaluation of typical studies. Results: The fundamental problem is that brain researchers fail to differentiate between biological mental disorders in which brain processes cause the disorder (notably schizophrenia, bipolar disorder, and melancholic depression) and learned mental disorders in which brain processes mediate but do not cause the disorder (which is the case with reactive depression, reactive anxiety, OCD, and PTSD). Researchers have been unsuccessful in identifying mechanisms in the brain that cause biological mental disorders, and will never be able to locate the innumerable specific neural connections that mediate learned mental disorders. Moreover, the author’s review of typical studies in this field shows that they have serious problems with theory, measurement, and data analysis, and that their findings cannot be trusted. Conclusions: Neuroscience-based brain research on mental disorders, unlike other neurological research, has been an expensive failure and it is not worth continuing.

Clinical Treatment of Functional Pain Syndromes along the Microbiome-Gut-Brain-Axis: Combined Approach with Neuromodulation-Neurofeedback and Multispecies Probiotic

Functional pain syndromes are very common diseases that negatively impact the quality of life of patients with important socio-economic repercussions. The clinical alterations associated with these pathologies are multiple and have a complex psycho-organic character that moves along the micorobiome-gut-brain-axis. For the present study, 45 patients of both sexes (19 male, 26 female) aged 30 - 59 years were enrolled because of a diagnosis of Functional pain syndromes (FPS) that lasted for more than 6 months. All patients underwent pre-treatment clinical assessments (T0) for anxiety disorder, multidimensional assessment of pain, monitoring of baseline values of Alpha-Theta cerebral rhythm in occipital region and monitoring of salivary cortisol levels. All the patients underwent a clinical treatment combined with central neuromodulation with neurofeedback—Alpha Theta increase protocols (once a week for three months), administration of multispecies probiotic (one dose per day for 3 months) and clinical psychological interviews (once a week for three months). At the end of treatment (T1), patients were re-evaluated. Results show statistically relevant improvements of each feature considered: the Relief from Pain provided by the medication increases on average from 36.6% to 87.3%, the salivary Cortisol level at 11 pm decreases from 6.4 ng/ml to a physiological value of 1.2 ng/ml, and the anxiety rating score is reduced from 28 to 12. Moreover, the 23.9% increase in α-θ relative power shows the positive outcome of the brain autoregulation. This study highlights that the combined approach of Neurofeedback with drugs and multispecies probiotic results in great improvements in the patients’ life.

高聚焦性双梯形双层经颅磁线圈的设计

基于聚焦性能对经颅磁线圈的影响,针对聚焦型线圈商用不足的问题,设计一种具有高聚焦性的单通道双梯形双层线圈。首先使用球头模型分析不同尺寸、相同结构的线圈性能,得到较优的线圈尺寸;为进一步提升聚焦度,再以中尺寸线圈为研究目标,探讨五种不同结构的双层线圈与两种商用8字形线圈的性能差异,得到最优线圈的结构;最后使用50组存在个体差异性的真实脑模型进行仿真验证,分析球头模型结果的可靠性。仿真结果表明:使用球头模型时,优化后的新型线圈对比70 mm figure-8 coil的聚焦度提升了69.48%,刺激深度减少了27.18%;对比25 mm figure-8 coil的聚焦度提升了44.78%,刺激深度减少了8.5%;使用50组真实脑模型时,优化后的新型线圈对比70 mm figure-8 coil的聚焦度提升了62.07%,刺激深度减少了25.71%;对比25 mm figure-8 coil的聚焦度提升了39.49%,刺激深度减少了9.5%。两种模型仿真数据结果趋于一致,证实了仿真可靠性的同时也证明了新型线圈具有更强的刺激强度和聚焦度,能大大提升TMS治疗的安全性,减少不适感,同时单通道设计易于实现,具有较高的性能优势。

Prognostic Factors for Mortality in Severe Traumatic Brain Injury at HGZ 46, Villahermosa, Tabasco, Period from March 1, 2021 to December 31, 2022

Introduction: A traumatic brain injury (TBI) is caused by a forceful bump, blow, or jolt to the head or body, or by an object that pierces the skull and interrupts the normal function of the brain. Severe TBI is estimated at 73 cases per 100,000 people. The mortality of severe TBI can be reduced if a timely diagnosis and treatment of the injuries are made through prognostic factors. Objective: To determine the prognostic factors related to mortality in severe traumatic brain injury at the Hospital General de Zona No. 46. Material and Methods: Retrospective, cross-sectional and descriptive study in beneficiaries admitted to the Hospital General de Zona (HGZ) No. 46 of the Mexican Institute of Social Security (IMSS by its acronym in Spanish), with a diagnosis of severe TBI;the possible prognostic factors related to mortality of severe TBI were obtained from their records. Measures of central tendency and chi square were used for data analysis. Results: The study sample consisted of 60 subjects diagnosed with severe traumatic brain injury, of which 5 (8%) were women and 55 (92%) were men, and all 60 (100%) patients died. The average age of the sample was 26 with a standard deviation of 9 years. The variables that had a p value less than or equal to 0.05 were: Mydriasis, seizures, Hyperglycemia, Normoglycemia, Hypothermia and Hypotension. This means that these variables were associated with mortality. Conclusion: Statistical significance is demonstrated in prognostic factors of mortality in severe traumatic brain injury with p < 0.05 in the case of mydriasis, seizures, hyperglycemia, normoglycemia, hypothermia and hypotension.

Using AI and Precision Nutrition to Support Brain Health during Aging

Artificial intelligence, often referred to as AI, is a branch of computer science focused on developing systems that exhibit intelligent behavior. Broadly speaking, AI researchers aim to develop technologies that can think and act in a way that mimics human cognition and decision-making [1]. The foundations of AI can be traced back to early philosophical inquiries into the nature of intelligence and thinking. However, AI is generally considered to have emerged as a formal field of study in the 1940s and 1950s. Pioneering computer scientists at the time theorized that it might be possible to extend basic computer programming concepts using logic and reasoning to develop machines capable of “thinking” like humans. Over time, the definition and goals of AI have evolved. Some theorists argued for a narrower focus on developing computing systems able to efficiently solve problems, while others aimed for a closer replication of human intelligence. Today, AI encompasses a diverse set of techniques used to enable intelligent behavior in machines. Core disciplines that contribute to modern AI research include computer science, mathematics, statistics, linguistics, psychology and cognitive science, and neuroscience. Significant AI approaches used today involve statistical classification models, machine learning, and natural language processing. Classification methods are widely applicable to problems in various domains like healthcare, such as informing diagnostic or treatment decisions based on patterns in data. Dean and Goldreich, 1998, define ML as an approach through which a computer has to learn a model by itself from the data provided but no specification on the sort of model is provided to the computer. They can then predict values for things that are different from the values used in training the models. NLP looks at two interrelated concerns, the task of training computers to understand human languages and the fact that since natural languages are so complex, they lend themselves very well to serving a number of very useful goals when used by computers.

Interest of Transcranial Doppler (TCD) in Emergency in Traumatic Brain Injury Patients at Gabriel Touré University Hospital, Bamako, Mali

Introduction: Transcranial Doppler is a simple, non-invasive and inexpensive examination which allows the assessment of cerebral perfusion. In countries with limited resources, which do not have a means of monitoring intracranial pressure, this examination offers hope of survival for patients with traumatic brain injury. This study was designed to investigate the incidence of early cerebral circulation abnormalities after traumatic brain injury using transcranial Doppler (TCD). Methodology: A descriptive and analytical study was conducted over one year, including patients with traumatic brain injury and an initial Glasgow Coma Scale (GCS) score of less than 15. Non-inclusion criteria: Stroke, brain tumor, cerebral abscess. Exclusion criteria: Inadequate insonation window. Results: Out of 854 traumatic brain injury patients admitted to the emergency department, 112 were included in the study. The average age was 30.14 years, with a sex ratio of 4.1. Initially, 83.5% had moderate traumatic brain injury, and 12.1% had severe traumatic brain injury. Brain CT scans were performed in 95.7% of the patients. Edematous-hemorrhagic contusion was observed in 95% of the patients. On initial TCD, the pulsatility index in the middle cerebral artery was greater than 1.3 in 49.4% of the patients. Diastolic velocity was less than 20 cm/s in 46.4% of cases, and mean velocity was greater than 150 cm/s in 8.7% of cases. In this group, low diastolic velocity indicated cerebral hypoperfusion suggestive of intracranial hypertension. When the pulsatility index was greater than 1.9, no patient had a normal diastolic velocity. Among patients with severe traumatic brain injury, 61.5% had an abnormal pulsatility index compared to 42.3% of patients with moderate traumatic brain injury. Conclusion: TCD is a simple tool for analyzing intracerebral hemodynamics.

Low-Risk Papillary Thyroid Carcinoma Recurring as a Single Brain Metastasis: A Case Report and Literature Review

Background: Brain metastases from papillary thyroid carcinoma are infrequent occurring in 0.15% to 1.3% of patients, and they are generally accompanied by synchronous metastases in other sites and in isolation are even less frequent;the information about their management is limited and it has been based mainly on retrospective studies, experiences, case reports, and management guidelines of brain metastasis of other cancers. Aim: We report this case with the objective of describing how unpredictable the behavior of thyroid cancer can be despite being classified as low risk of recurrence. Case Presentation: A female patient with a diagnosis of papillary thyroid carcinoma classified as low risk who after more than a year of surveillance and without alterations in laboratory and imaging studies, developed a single brain metastasis susceptible to treatment with radioactive iodine (RAI) therapy. Conclusion: This case emphasizes the importance of a close follow-up of patients and not to minimize any symptom, no matter how simple it may seem, since cancer has no rules in its evolution.

An Adapted Convolutional Neural Network for Brain Tumor Detection

In medical imaging, particularly for analyzing brain tumor MRIs, the expertise of skilled neurosurgeons or radiologists is often essential. However, many developing countries face a significant shortage of these specialists, which impedes the accurate identification and analysis of tumors. This shortage exacerbates the challenge of delivering precise and timely diagnoses and delays the production of comprehensive MRI reports. Such delays can critically affect treatment outcomes, especially for conditions requiring immediate intervention, potentially leading to higher mortality rates. In this study, we introduced an adapted convolutional neural network designed to automate brain tumor diagnosis. Our model features fewer layers, each optimized with carefully selected hyperparameters. As a result, it significantly reduced both execution time and memory usage compared to other models. Specifically, its execution time was 10 times shorter than that of the referenced models, and its memory consumption was 3 times lower than that of ResNet. In terms of accuracy, our model outperformed all other architectures presented in the study, except for ResNet, which showed similar performance with an accuracy of around 90%.

基于AI Brain的暖通系统优化控制研究

近年来,以“万物物联”为理念的智能建筑的建设促进了楼宇自控技术的快速发展。当前兴起的物联网、人工智能和云计算技术的发展为积极响应国家“碳达峰,碳中和”的号召,节约能源、降低成本、促进建筑科学和谐发展提供了可能。本文针对商业建筑暖通空调中的能耗过高难题,以广东省汕头市某商场为例,基于物联网技术和AI Brain算法控制对商业建筑暖通空调系统的控制策略进行优化,探索构建出一套具有精准调节、智慧控制、自主学习的暖通设备控制系统,满足运营对暖通设备精细化控制的需求。通过数次的能耗对比测试,得出以物联网技术为基础的AI Brain算法暖通系统优化控制能够实现节约电量最少15%的目标。本文所提的优化控制方法有望在商业建筑中得到广泛推广应用。