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Astrocytic calcium waves:unveiling their roles in sleep and arousal modulation

Neural Regeneration Research 2024年第5期19卷 984-987页

作者： Erxi Wu Dan Qi Damir Nizamutdinov Jason H.Huang department of Neurosurgery and Neuroscience Institute Baylor Scott&White HealthTempleTXUSA Texas A&M University School of Medicine TempleTXUSA Texas A&M University School of Pharmacy College StationTXUSA LIVESTRONG Cancer Institutes and department of Oncology Dell Medical Schoolthe University of Texas at AustinAustinTXUSA department of Neurosurgery Baylor College of MedicineTempleTXUSA

Neuron-astrocyte interactions are vital for the brain’s connectome.Understanding astrocyte activities is crucial for comprehending the complex neural network,particularly the population-level functions of neurons in different cortical states and associated behaviors in mammals.Studies on animal sleep and wakefulness have revealed distinct cortical synchrony patterns between neurons.Astrocytes,outnumbering neurons by nearly fivefold,support and regulate neuronal and synaptic function.Recent research on astrocyte activation during cortical state transitions has emphasized the influence of norepinephrine as a neurotransmitter and calcium waves as key components of ion channel signaling.This summary focuses on a few recent studies investigating astrocyte-neuron interactions in mouse models during sleep,wakefulness,and arousal levels,exploring the involvement of noradrenaline signaling,ion channels,and glutamatergic signaling in different cortical states.These findings highlight the significant impact of astrocytes on large-scale neuronal networks,influencing brain activity and responsiveness.Targeting astrocytic signaling pathways shows promise for treating sleep disorders and arousal dysregulation.More research is needed to understand astrocytic calcium signaling in different brain regions and its implications for dysregulated brain states,requiring future human studies to comprehensively investigate neuron-astrocyte interactions and pave the way for therapeutic interventions in sleep-and arousal-related disorders.

关键词： arousal astrocyte calcium waves locus coeruleus neuron-astrocyte interaction norepinephrine sleep wakefulness

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Pancreatic panniculitis as the first presentation of pancreatic ductaladenocarcinoma

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Hepatobiliary & Pancreatic Diseases International 2024年第1期23卷 106-108页

作者： Wei-Fang Zhu Shan Fang Jian-Jun Qiao department of Dermatology the First Affiliated HospitalZhejiang University School of MedicineHangzhou 310003China

To the Editor:Pancreatic panniculitis,also known as pancreatic fat necrosis or enzymatic panniculitis,is a rare type of panniculitis that occurs in 0.3%−3%of patients with pancreatic disease such as acute or chronic pancreatitis and pancreatic carcinoma,especially acinar cell carcinoma[1,2].The clinical manifestations are nonspecific erythema tender nodules.

关键词： Pancreatic acute adenocarcinoma

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Smart Healthcare Activity Recognition Using Statistical Regression and Intelligent Learning

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Computers, Materials & Continua 2024年第1期78卷 1189-1205页

作者： K.Akilandeswari Nithya Rekha Sivakumar Hend Khalid Alkahtani Shakila Basheer Sara Abdelwahab Ghorashi department of Computer Sciences Government Arts College(Autonomous)Salem636007India department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia

In this present time,Human Activity Recognition(HAR)has been of considerable aid in the case of health monitoring and recovery.The exploitation of machine learning with an intelligent agent in the area of health informatics gathered using HAR augments the decision-making quality and significance.Although many research works conducted on Smart Healthcare Monitoring,there remain a certain number of pitfalls such as time,overhead,and falsification involved during analysis.Therefore,this paper proposes a Statistical Partial Regression and Support Vector Intelligent Agent Learning(SPR-SVIAL)for Smart Healthcare Monitoring.At first,the Statistical Partial Regression Feature Extraction model is used for data preprocessing along with the dimensionality-reduced features extraction process.Here,the input dataset the continuous beat-to-beat heart data,triaxial accelerometer data,and psychological characteristics were acquired from IoT wearable devices.To attain highly accurate Smart Healthcare Monitoring with less time,Partial Least Square helps extract the dimensionality-reduced features.After that,with these resulting features,SVIAL is proposed for Smart Healthcare Monitoring with the help of Machine Learning and Intelligent Agents to minimize both analysis falsification and overhead.Experimental evaluation is carried out for factors such as time,overhead,and false positive rate accuracy concerning several instances.The quantitatively analyzed results indicate the better performance of our proposed SPR-SVIAL method when compared with two state-of-the-art methods.

关键词： Internet of Things smart health care monitoring human activity recognition intelligent agent learning statistical partial regression support vector

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Multi-wavelength nanowire micro-LEDs for future high speed optical communication

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Opto-Electronic Advances 2024年第3期7卷 1-3页

作者： Ayush Pandey Zetian Mi department of Electrical Engineering and Computer Science University of MichiganAnn ArborMI 48109USA

The future of optoelectronics is directed towards small-area light sources,foremost being microLEDs.However,their use has been inhibited so far primarily due to fabrication and integration challenges,which impair efficiency and yield.Recently,bottom-up nanostructures grown using selective area epitaxy have garnered attention as a solution to the aforementioned issues.Prof.Lan Fu et.***.have used this technique to demonstrate uniform p-i-n core-shell InGaAs/InP nanowire array light emitting diodes.The devices are capable of voltage and geometry-controlled multi-wavelength and high-speed operations.Their publication accentuates the wide capabilities of bottom-up nanostructures to resolve the difficulties of nanoscale optoelectronics.

关键词： communication high operations

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Ultrathin Zincophilic Interphase Regulated Electric Double Layer Enabling Highly Stable Aqueous Zinc‑Ion Batteries

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Nano-Micro Letters 2024年第5期16卷 285-299页

作者： Yimei Chen Zhiping Deng Yongxiang Sun Yue Li Hao Zhang Ge Li Hongbo Zeng Xiaolei Wang department of Chemical and Materials Engineering University of Alberta9211‑116 Street NWEdmontonAB T6G 1H9Canada department of Mechanical Engineering University of Alberta9211‑116 Street NWEdmontonAB T6G 1H9Canada

The practical application of aqueous zinc-ion batteries for large-grid scale systems is still hindered by uncontrolled zinc dendrite and side reactions.Regulating the elec-trical double layer via the electrode/electrolyte interface layer is an effective strategy to improve the stability of Zn anodes.Herein,we report an ultrathin zincophilic ZnS layer as a model regu-lator.At a given cycling current,the cell with Zn@ZnS electrode displays a lower potential drop over the Helmholtz layer(stern layer)and a suppressed diffuse layer,indicating the regulated charge distribution and decreased electric double layer repulsion force.Boosted zinc adsorption sites are also expected as proved by the enhanced electric double-layer capacitance.Consequently,the symmetric cell with the ZnS protection layer can stably cycle for around 3,000 h at 1 mA cm^(-2) with a lower overpotential of 25 mV.When coupled with an I2/AC cathode,the cell demonstrates a high rate performance of 160 mAh g^(-1) at 0.1 A g^(-1) and long cycling stability of over 10,000 cycles at 10 A g^(-1).The Zn||MnO_(2) also sustains both high capacity and long cycling stability of 130 mAh g^(-1) after 1,200 cycles at 0.5 A g^(-1).

关键词： Zinc anode Electric double-layer regulation Multifunction SEI layer Inhibited side reactions and dendrite Rapid kinetics

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Impaired implicit emotion regulation in patients with panic disorder:An event-related potential study on affect labeling

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World Journal of Psychiatry 2024年第2期14卷 234-244页

作者： Hai-Yang Wang Li-Zhu Li Yi Chang Xiao-Mei Pang Bing-Wei Zhang department of Neurology Jining No.1 People's HospitalShandong First Medical UniversityJining 272000Shandong ProvinceChina department of Neurology and Psychiatry First Affiliated Hospital of Dalian Medical UniversityDalian 116011Liaoning ProvinceChina department of Neurology Sixth Peoples'Hospital of ShenyangShenyang 110003Liaoning ProvinceChina

BACKGROUND Panic disorder(PD)involves emotion dysregulation,but its underlying mechanisms remain poorly understood.Previous research suggests that implicit emotion regulation may play a central role in PD-related emotion dysregulation and symptom maintenance.However,there is a lack of studies exploring the neural mechanisms of implicit emotion regulation in PD using neurophysiological indicators.AIM To study the neural mechanisms of implicit emotion regulation in PD with eventrelated potentials(ERP).METHODS A total of 25 PD patients and 20 healthy controls(HC)underwent clinical evaluations.The study utilized a case-control design with random sampling,selecting participants for the case group from March to December 2018.Participants performed an affect labeling task,using affect labeling as the experimental condition and gender labeling as the control condition.ERP and behavioral data were recorded to compare the late positive potential(LPP)within and between the groups.RESULTS Both PD and HC groups showed longer reaction times and decreased accuracy under the affect labeling.In the HC group,late LPP amplitudes exhibited a dynamic pattern of initial increase followed by decrease.Importantly,a significant group×condition interaction effect was observed.Simple effect analysis revealed a reduction in the differences of late LPP amplitudes between the affect labeling and gender labeling conditions in the PD group compared to the HC group.Furthermore,among PD patients under the affect labeling,the late LPP was negatively correlated with disease severity,symptom frequency,and intensity.CONCLUSION PD patients demonstrate abnormalities in implicit emotion regulation,hampering their ability to mobilize cognitive resources for downregulating negative emotions.The late LPP amplitude in response to affect labeling may serve as a potentially valuable clinical indicator of PD severity.

关键词： Panic disorder Implicit Emotion regulation Affect labeling Late positive potential

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Mutational landscape of TP53 and CDH1 in gastric cancer

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World Journal of Gastrointestinal Surgery 2024年第2期16卷 276-283页

作者： Hong-Qiao Cai Li-Yue Zhang Li-Ming Fu Bin Xu Yan Jiao department of Hepatobiliary and Pancreatic Surgery General Surgery CenterThe First Hospital of Jilin UniversityChangchun 130021Jilin ProvinceChina department of Critical Care Medicine The First Hospital of Jilin UniversityChangchun 130021Jilin ProvinceChina department of Traditional Chinese Medicine The First Hospital of Jilin UniversityChangchun 130021Jilin ProvinceChina

In this editorial we comment on an article published in a recent issue of the World J Gastrointest Surg.A common gene mutation in gastric cancer(GC)is the TP53 mutation.As a tumor suppressor gene,TP53 is implicated in more than half of all tumor occurrences.TP53 gene mutations in GC tissue may be related with clinical pathological aspects.The TP53 mutation arose late in the progression of GC and aided in the final switch to malignancy.CDH1 encodes E-cadherin,which is involved in cell-to-cell adhesion,epithelial structure maintenance,cell polarity,differentiation,and intracellular signaling pathway modulation.CDH1 mutations and functional loss can result in diffuse GC,and CDH1 mutations can serve as independent prognostic indicators for poor prognosis.GC patients can benefit from genetic counseling and testing for CDH1 mutations.Demethylation therapy may assist to postpone the onset and progression of GC.The investigation of TP53 and CDH1 gene mutations in GC allows for the investigation of the relationship between these two gene mutations,as well as providing some basis for evaluating the prognosis of GC patients.

关键词： TP53 CDH1 Gastric cancer Gene mutation Methylation

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YOLOV5s object detection based on Sim SPPF hybrid pooling

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Optoelectronics Letters 2024年第6期20卷 367-371页

作者： DONG Xiuhuan LI Shixin ZHANG Jixiang Electronic Engineering department Tianjin University of Technology and EducationTianjin 300000China

Aiming at the problem of low surface defect detection accuracy of industrial products, an object detection method based on simplified spatial pyramid pooling fast(Sim SPPF) hybrid pooling improved you only look once version 5s(YOLOV5s) model is proposed. The algorithm introduces channel attention(CA) module, simplified SPPF feature vector pyramid and efficient intersection over union(EIOU) loss function. Feature vector pyramids fuse high-dimensional and low-dimensional features, which makes semantic information richer. The CA mechanism performs maximum pooling and average pooling operations on the feature map. Hybrid pooling comprehensively improves detection computing efficiency and accurate deployment ability. The results show that the improved YOLOV5s model is better than the original YOLOV5s model. The average test accuracy(mAP) can reach 91.8%, which can be increased by 17.4%, and the detection speed can reach 108 FPS, which can be increased by 18 FPS. The improved model is practicable, and the overall performance is better than other conventional models.

关键词： YOLOV5s object detection based on Sim SPPF hybrid pooling

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Applications of gastric peroral endoscopic myotomy in the treatment of upper gastrointestinal tract disease

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World Journal of Gastrointestinal Surgery 2024年第3期16卷 658-669页

作者： Shi-Yu Chang Guo-Hua Jin Hai-Bo Sun Dong Yang Tong-Yu Tang department of Gastroenterology The First Hospital of Jilin UniversityChangchun 130021Jilin ProvinceChina

Gastric peroral endoscopic myotomy(G-POME)is an emerging minimally invasive endoscopic technique involving the establishment of a submucosal tun-nel around the pyloric sphincter.In 2013,Khashab et al used G-POME for the first time in the treatment of gastroparesis with enhanced therapeutic efficacy,prov-iding a new direction for the treatment of gastroparesis.With the recent and rapid development of G-POME therapy technology,progress has been made in the treatment of gastroparesis and other upper digestive tract diseases,such as congenital hypertrophic pyloric stenosis and gastric sleeve stricture,with G-POME.This article reviews the research progress and future prospects of G-POME for the treatment of upper digestive tract gastrointestinal diseases.

关键词： Gastric peroral endoscopic myotomy Upper digestive tract diseases Gastroparesis Congenital hypertrophic pyloric stenosis Gastric sleeve stricture

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IoT Smart Devices Risk Assessment Model Using Fuzzy Logic and PSO

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Computers, Materials & Continua 2024年第2期78卷 2245-2267页

作者： Ashraf S.Mashaleh Noor Farizah Binti Ibrahim Mohammad Alauthman Mohammad Almseidin Amjad Gawanmeh School of Computer Sciences Universiti Sains MalaysiaPenangMalaysia department Computer Center Al-Balqa Applied UniversitySaltJordan department of Information Security Faculty of Information TechnologyUniversity of PetraAmmanJordan department of Computer Science Tafila Technical UniversityTafilaJordan College of Engineering and IT University of DubaiDubaiUnited Arab Emirates

Increasing Internet of Things(IoT)device connectivity makes botnet attacks more dangerous,carrying catastrophic hazards.As IoT botnets evolve,their dynamic and multifaceted nature hampers conventional detection methods.This paper proposes a risk assessment framework based on fuzzy logic and Particle Swarm Optimization(PSO)to address the risks associated with IoT botnets.Fuzzy logic addresses IoT threat uncertainties and ambiguities methodically.Fuzzy component settings are optimized using PSO to improve accuracy.The methodology allows for more complex thinking by transitioning from binary to continuous assessment.Instead of expert inputs,PSO data-driven tunes rules and membership functions.This study presents a complete IoT botnet risk assessment system.The methodology helps security teams allocate resources by categorizing threats as high,medium,or low severity.This study shows how CICIoT2023 can assess cyber risks.Our research has implications beyond detection,as it provides a proactive approach to risk management and promotes the development of more secure IoT environments.

关键词： IoT botnet detection risk assessment fuzzy logic particle swarm optimization(PSO) cybersecurity interconnected devices

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