Tailoring Broadband Nonlinear Optical Characteristics and Ultrafast Photocarrier Dynamics of Bi2O2S Nanosheets by Defect Engineering.

Low-dimensional bismuth oxychalcogenides have shown promising potential in optoelectronics due to their high stability, photoresponse, and carrier mobility. However, the relevant studies on deep understanding for Bi2O2S is quite limited. Here, comprehensive experimental and computational investigations are conducted in the regulated band structure, nonlinear optical (NLO) characteristics, and carrier dynamics of Bi2O2S nanosheets via defect engineering, taking O vacancy (OV) and substitutional Se doping as examples. As the OV continuously increased to ≈35%, the optical bandgaps progressively narrow from ≈1.21 to ≈0.81 eV and NLO wavelengths are extended to near-infrared regions with enhanced saturable absorption. Simultaneously, the relaxation processes are effectively accelerated from tens of picoseconds to several picoseconds, as the generated defect energy levels can serve as both additional absorption cross-sections and fast relaxation channels supported by theoretical calculations. Furthermore, substitutional Se doping in Bi2O2S nanosheets also modulate their optical properties with the similar trends. As a proof-of-concept, passively mode-locked pulsed lasers in the ≈1.0 µm based on the defect-rich samples (≈35% OV and ≈50% Se-doping) exhibit excellent performance. This work deepens the insight of defect functions on optical properties of Bi2O2S nanosheets and provides new avenues for designing advanced photonic devices based on low-dimensional bismuth oxychalcogenides.

Lung nodule pre-diagnosis and insertion path planning for chest CT images.

Medical image processing has proven to be effective and feasible for assisting oncologists in diagnosing lung, thyroid, and other cancers, especially at early stage. However, there is no reliable method for the recognition, screening, classification, and detection of nodules, and even deep learning-based methods have limitations. In this study, we mainly explored the automatic pre-diagnosis of lung nodules with the aim of accurately identifying nodules in chest CT images, regardless of the benign and malignant nodules, and the insertion path planning of suspected malignant nodules, used for further diagnosis by robotic-based biopsy puncture. The overall process included lung parenchyma segmentation, classification and pre-diagnosis, 3-D reconstruction and path planning, and experimental verification. First, accurate lung parenchyma segmentation in chest CT images was achieved using digital image processing technologies, such as adaptive gray threshold, connected area labeling, and mathematical morphological boundary repair. Multi-feature weight assignment was then adopted to establish a multi-level classification criterion to complete the classification and pre-diagnosis of pulmonary nodules. Next, 3-D reconstruction of lung regions was performed using voxelization, and on its basis, a feasible local optimal insertion path with an insertion point could be found by avoiding sternums and/or key tissues in terms of the needle-inserting path. Finally, CT images of 900 patients from Lung Image Database Consortium and Image Database Resource Initiative were chosen to verify the validity of pulmonary nodule diagnosis. Our previously designed surgical robotic system and a custom thoracic model were used to validate the effectiveness of the insertion path. This work can not only assist doctors in completing the pre-diagnosis of pulmonary nodules but also provide a reference for clinical biopsy puncture of suspected malignant nodules considered by doctors.

Probiotic Spore-Based Oral Drug Delivery System for Enhancing Pancreatic Cancer Chemotherapy by Gut-Pancreas-Axis-Guided Delivery.

The chemotherapeutic effectiveness of pancreatic ductal adenocarcinoma (PDAC) is severely hampered by insufficient intratumoral delivery of antitumor drugs. Here, we demonstrate that enhanced pancreatic cancer chemotherapy can be achieved by probiotic spore-based oral drug delivery system via gut-pancreas axis translocation. Clostridium butyricum spores resistant to harsh external stress are extracted as drug carriers, which are further covalently conjugated with gemcitabine-loaded mesoporous silicon nanoparticles (MGEM). The spore-based oral drug delivery system (SPORE-MGEM) migrates upstream into pancreatic tumors from the gut, which increases intratumoral drug accumulation by ∼3-fold compared with MGEM. In two orthotopic PDAC mice models, tumor growth is markedly suppressed by SPORE-MGEM without obvious side effects. Leveraging the biological contact of the gut-pancreas axis, this probiotic spore-based oral drug delivery system reveals a new avenue for enhancing PDAC chemotherapy.

A Novel Recognition Strategy for Epilepsy EEG Signals Based on Conditional Entropy of Ordinal Patterns.

Epilepsy is one of the most ordinary neuropathic illnesses, and electroencephalogram (EEG) is the essential method for recording various brain rhythm activities due to its high temporal resolution. The conditional entropy of ordinal patterns (CEOP) is known to be fast and easy to implement, which can effectively measure the irregularity of the physiological signals. The present work aims to apply the CEOP to analyze the complexity characteristics of the EEG signals and recognize the epilepsy EEG signals. We discuss the parameter selection and the performance analysis of the CEOP based on the neural mass model. The CEOP is applied to the real EEG database of Bonn epilepsy for identification. The results show that the CEOP is an excellent metrics for the analysis and recognition of epileptic EEG signals. The differences of the CEOP in normal and epileptic brain states suggest that the CEOP could be a judgment tool for the diagnosis of the epileptic seizure.

Multi-Features Fusion for Fault Diagnosis of Pedal Robot Using Time-Speed Signals.

In order to realize automation of the pollutant emission tests of vehicles, a pedal robot is designed instead of a human-driven vehicle. Sometimes, the actual time-speed curve of the vehicle will deviate from the upper or lower limit of the worldwide light-duty test cycle (WLTC) target curve, which will cause a fault. In this paper, a new fault diagnosis method is proposed and applied to the pedal robot. Since principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE), and Autoencoder cannot extract feature information adequately when they are used alone, three types of feature components extracted by PCA, t-SNE, and Autoencoder are fused to form a nine-dimensional feature set. Then, the feature set is reduced into three-dimensional space via Treelet Transform. Finally, the fault samples are classified by Gaussian process classifier. Compared with the methods using only one algorithm to extract features, the proposed method has the minimum standard deviation, 0.0078, and almost the maximum accuracy, 98.17%. The accuracy of the proposed method is only 0.24% lower than that without Treelet Transform, but the processing time is 6.73% less than that without Treelet Transform. These indicate that the multi-features fusion model and Treelet Transform method is quite effective. Therefore, the proposed method is quite helpful for fault diagnosis of the pedal robot.

Clinical presentation and long-term outcome of primary spinal peripheral primitive neuroectodermal tumors.

Primary spinal peripheral primitive neuroectodermal tumors (pPNETs) are extremely rare entities that predominantly occur in children and young adults. Few studies have reported more than three cases. There are no current optimum treatment strategies due to the paucity of data. Here, we present 13 patients (nine females and four males) with primary intraspinal pPNETs who were surgically treated from April 2008 to February 2014. Histopathologic findings revealed the expression of CD99 in all cases. Limb weakness was the most common initial symptom (11/13, 85 %). The tumors were located mainly at the cervical level (6/13, 46 %) and in the epidural space (10/13, 77 %). The radiological diagnosis was neurinoma or meningioma in most cases (10/13, 77 %). Gross total resection was achieved in 77 % (10/13) of patients. During a mean follow-up of 25.5 months, local relapse occurred in 8 (61.5 %) patients and distant metastases occurred in 8 (61.5 %) patients. The overall 1-year survival rate was 77 % (10/13), and the overall 2-year survival rate was 54 % (7/13). The 2-year survival rate was 57.1 % in patients with adjuvant chemotherapy and 50 % in those without chemotherapy. Gross total resection and adjuvant radiotherapy with or without chemotherapy demonstrated a longer survival period (1-year survival rate: 100 %; 2-year survival rate: 86 %). Our data showed that primary spinal pPNETs are extremely rare and aggressive tumors with a poor prognosis. Radical resection is advocated. Gross total resection combined with adjuvant radiation may help to significantly improve patient survival period. Chemotherapy may also help to slightly prolong patient life.

In situ formation of solidified supramolecular solvent based dispersive liquid-liquid microextraction for the enrichment of phenylurea herbicides in water, fruit juice, and milk.

A convenient, efficient, and green dispersive liquid-liquid microextraction based on the in situ formation of solidified supramolecular solvents combined with high performance liquid chromatography was developed for the determination of four phenylurea herbicides in liquid samples, including monuron, monolinuron, isoproturon, and chlortoluron. Herein, a novel supramolecular solvent was prepared by the in situ reaction of [P4448]Br and NH4PF6, which had the advantages of low melting point, high density, and good dispersibility. In addition, the microscopic morphology and physical properties of supramolecular solvent were characterized, and the extraction conditions were optimized. The results showed that the analytes had good linearity (R2 > 0.9998) within the linear range. The limits of detection and quantification for the four phenylurea herbicides were in the range of 0.13-0.19 µg L-1 and 0.45-0.65 µg L-1, respectively. The prepared supramolecular solvent is suitable for the efficient extraction of phenylurea herbicides in water, fruit juice, and milk.

Probiotics functionalized with a gallium-polyphenol network modulate the intratumor microbiota and promote anti-tumor immune responses in pancreatic cancer.

The intratumor microbiome imbalance in pancreatic cancer promotes a tolerogenic immune response and triggers immunotherapy resistance. Here we show that Lactobacillus rhamnosus GG probiotics, outfitted with a gallium-polyphenol network (LGG@Ga-poly), bolster immunotherapy in pancreatic cancer by modulating microbiota-immune interactions. Upon oral administration, LGG@Ga-poly targets pancreatic tumors specifically, and selectively eradicates tumor-promoting Proteobacteria and microbiota-derived lipopolysaccharides through a gallium-facilitated disruption of bacterial iron respiration. This elimination of intratumor microbiota impedes the activation of tumoral Toll-like receptors, thus reducing immunosuppressive PD-L1 and interleukin-1ß expression by tumor cells, diminishing immunotolerant myeloid populations, and improving the infiltration of cytotoxic T lymphocytes in tumors. Moreover, LGG@Ga-poly hampers pancreatic tumor growth in both preventive and therapeutic contexts, and amplifies the antitumor efficacy of immune checkpoint blockade in preclinical cancer models in female mice. Overall, we offer evidence that thoughtfully designed biomaterials targeting intratumor microbiota can efficaciously augment immunotherapy for the challenging pancreatic cancer.

Primary medical and health preparedness and people's life satisfaction in China: The mediating role of satisfaction with medical and health services.

Objective: To examine the association between primary medical and health preparedness (PMHP), satisfaction with medical and health services (SMHS), and life satisfaction (LS). Methods: Using the latest national representative data from the 2019 Chinese Social Survey and the 2018 Health Statistics Yearbook for each province in China, we conducted multi-level models to test the effect of three aspects of PMHP (the number of primary medical and health institutions (PMHIs), the number of beds in PMHIs, and the number of staff in PMHIs) on LS, and the mediation role of SMHS in this effect. Results: The number of staff in PMHIs has a significant positive effect on people's LS. Besides, this effect is mediated completely by SMHS. However, the number of PMHIs and the number of beds in PMHIs do not affect LS significantly. Conclusions: PMHP has a positive impact on LS, but this impact is associated only with the number of staff in PMHIs. Therefore, governments should focus on optimizing human resources in PMHIs to meet the LS needs of individuals.

Prior skeleton based online deep reinforcement learning for coronary artery centerline extraction.

Coronary centerline extraction is an essential technique for X-ray coronary angiography (XCA) image analysis, which provides qualitative and quantitative guidance for percutaneous coronary intervention (PCI). In this paper, an online deep reinforcement learning method for coronary centerline extraction is proposed based on the prior vascular skeleton. Firstly, with XCA image preprocessing (foreground extraction and vessel segmentation) results, the improved ZhangSuen image thinning algorithm is used to rapidly extract the preliminary vascular skeleton network. On this basis, according to the spatial-temporal and morphological continuity of the angiography image sequence, the connectivity of different branches is determined using k-means clustering, and the vessel segments are then grouped, screened, and reconnected to obtain the aorta and its major branches. Finally, using the previous results as prior information, an online Deep Q-Network (DQN) reinforcement learning method is proposed to optimize each branch simultaneously. It comprehensively considers grayscale intensity and eigenvector continuity to achieve the combination of data-driven and model-driven without pre-training. Experimental results on clinical images and the third-party dataset demonstrate that the proposed method can accurately extract, restructure, and optimize the centerline of XCA images with a higher overall accuracy than the existing state-of-the-art methods.

Experimental study of the optimum puncture pattern of robot-assisted needle insertion into hyperelastic materials.

The robot-assisted insertion surgery plays a crucial role in biopsy and therapy. This study focuses on determining the optimum puncture pattern for robot-assisted insertion, aiming at the matching problem of needle insertion parameters, thereby to reduce the pain for patients and to improve the reachability to the lesion point. First, a 6-degrees of freedom (DOFs) Computed Tomography (CT)-guided surgical robotic system for minimally invasive percutaneous lung is developed and used to perform puncture experiments. The effects of four main insertion factors on the robotic puncture are verified by designing the orthogonal test, where the inserting object is the artificial skin-like specimen with high transparent property and a digital image processing method is used to analyze the needle tip deflection. Next, the various phases of puncture process are divided and analyzed in detail in view of the tissue deformation and puncture force. Then, short discussion on the comparison of puncture force with different effect factors for the same beveled needle is presented. The same pattern can be observed for all of the cases. Finally, based on the experimental data, the formulations of the puncture force and needle deflection which depends on Gauge size, insertion velocity, insertion angle, and insertion depth are developed using the multiple regression method, which can be used to get an optimum puncture pattern under the constrains of minimum peak force and minimum needle tip deflection. The developed models have the effectiveness and applicability on determining the optimum puncture pattern for one puncture event, and which can also provide insights useful for the setting of insertion parameters in clinical practice.

Fault diagnosis for industrial robots based on a combined approach of manifold learning, treelet transform and Naive Bayes.

This research introduces a novel fault diagnosis method for an industrial robot based on manifold learning algorithms, Treelet Transform (TT) and Naive Bayes. The vibration signals of an industrial robot working under three working conditions are acquired as the raw data. Three typical manifold learning algorithms, Principal Component Analysis (PCA), Locality Preserving Projections (LPPs), and Isometric Feature Mapping (ISOMAP), are utilized to extract three-dimensional features from the vibration signals. Then, these features were combined into nine-dimensional features and, these nine-dimensional features were reduced to three-dimensional feature vectors by TT. Finally, a Naive Bayes model is trained with these three-dimensional feature vectors. Experimental results show that compared with the three methods, PCA, LPP, and ISOMAP, the accuracy of the proposed combined method is higher than the single method. The fault diagnosis method presented in this paper is easy to implement and can effectively identify the fault types.

Lesion positioning method of a CT-guided surgical robotic system for minimally invasive percutaneous lung.

BACKGROUND: Robot-assisted puncture has gradually attracted more attention and practical clinical application. The lesion positioning and the needle positioning are the basis to ensure the accuracy of puncture and the key techniques in insertion operation. METHODS: A lesion positioning method is established which is realized only by the robot-CT system without using external positioning system, and an omnidirectional needle positioning method is also developed and realized by using VRCM, in order to make the puncture needle always keep pointing to the lesion point. A CT-guided surgical robotic system used for minimally invasive percutaneous lung is designed and the physical prototype is manufactured, to perform in-vitro experiments, thereby to validate the effectiveness of the lesion positioning method and the feasibility of omnidirectional needle positioning method. RESULTS: The accuracy of established lesion positioning method based on three non-collinear markers is within 3 mm, which is similar to that of the least squares method based on the five non-coplanar markers, but the positioning efficiency can be improved by about 40%, and the non-collinearity of markers is easier to be satisfied than non-coplanarity in practical applications. The average calculation error of the established positioning method is 0.997 mm. Moreover, the omnidirectional positioning of the puncture needle under the designed surgical robot is feasible. CONCLUSIONS: The designed surgical robot has good control accuracy and it can satisfy the requirements for use. The established lesion positioning method can provide a good precision basis for robot-assisted puncture surgery. The suitable insertion point and insertion posture can be determined by the developed omnidirectional needle positioning method. This study can provide theoretical reference for further study of path planning or autonomous positioning.

Multi-channel signal transmission method of non-contact slip ring based on capacitive coupling and quasi-time division multiplexing.

The single-axis rotary inertial navigation system can use the rotary joint to compensate the drift error of the inertial components. Therefore, whether the signal can be transmitted in the rotary joint freely, accurately, for a long time, and without maintenance determines the accuracy of inertial navigation. A noncontact slip ring based on capacitive coupling and quasitime division multiplexing is proposed in this paper. First, the theoretical calculation is carried out on the method of signal transmission using two pairs of capacitors, and the factors affecting signal quality are analyzed. Second, the principle of quasitime division multiplexing and Manchester encoding is used to solve the problems such as converting multiple signals into a single signal, capacitor cannot transmit DC signal, and signal synchronization. Finally, an improved differential transmission method is designed to enhance the anti-interference of the system and to solve the level mismatch of the primary and secondary circuits. In this paper, a prototype is designed to verify the method. When the transmission rate of the three navigation signals is 1 Mbps, the navigation signals can be transmitted without distortion. And the maximum transmission frequency is 17 MHz, which can be further improved. The experimental results show that the proposed method provides a new design for the signal transmission of noncontact power slip ring. It has the advantages of high reliability, fast transmission rate, and good versatility. It can be applied to aviation, aerospace, navigation, wind power generation, and other fields where the power and signal need to be transmitted simultaneously.

The pattern of visual impairment in patients with pituitary adenoma.

This retrospective study aimed to identify the pattern of visual impairment in pituitary adenoma patients. Patients' eyes were categorized into four groups according to their visual acuity score. Trans-sphenoidal hypophysectomy was performed on all patients. Significant differences between groups were evaluated for visual field defects, visual symptoms duration, degree of suprasellar extension and tumour pathology. In the 201 patients (402 eyes) evaluated, 166 eyes had impaired visual acuity (45 eyes, < 4.0; 43 eyes, 4.0 - 4.4; and 78 eyes, 4.5 - 4.8), 236 eyes scored > 4.8 and were considered to be free of this disorder. A linear correlation was found between visual field defects and visual acuity score. Duration of visual symptoms between visual acuity groups was not significant. Suprasellar extension (measured by Hardy grades) was significant between visual acuity groups and may be the main cause of visual acuity loss in pituitary adenoma patients. Non-functional pituitary adenomas tended to affect visual acuity more than adenomas with other pathological diagnoses which are adrenocorticotropic hormone and prolactin. Further investigation is required to clarify visual loss cause in pituitary adenoma patients.

Involvement of increased stability of mitochondrial membrane potential and overexpression of Bcl-2 in enhanced anoxic tolerance induced by hypoxic preconditioning in cultured hypothalamic neurons.

The effects of hypoxic preconditioning (HP) on changes in mitochondrial membrane potential (MMP) and Bcl-2 expression in cultured hypothalamic neurons after severe anoxia were investigated. In the HP group, hypothalamic neurons, after a 4-day culture, were preconditioned daily under a hypoxic condition (1% O(2), 10 min) for 8 days; subsequently, the HP neurons and those in the control group (similarly cultured, but without HP) were exposed to 6 h of severe anoxia (0% O(2)). The preconditioned neurons had a higher survival rate and a lower lactate dehydrogenase leakage, compared with the control group. Although HP did not prevent the degradation of MMP during severe hypoxia, preconditioned neurons exhibited a higher level of MMP than that of the control group. Increased expression of Bcl-2 was also observed in the preconditioned hypothalamic neurons. These results suggest that HP enhances the hypoxic tolerance of hypothalamic neurons, and the underlying mechanisms may be related to the increased stability of MMP and the overexpression of Bcl-2 induced by HP.

[Effects of rhIL-6 on Bcl-2 and Bax expression and apoptosis after anoxia-reoxygenation in cultured rat hippocampal neurons].

The purpose of the present study was to determine the effects of recombinant human interleukin-6 (rhIL-6) on the Bcl-2 and Bax expression and apoptosis after anoxia-reoxygenation in cultured rat hippocampal neurons. The control and rhIL-6 treated hippocampal neurons cultured for 12 d were exposed to anoxia environment (90% N2+10% CO2) for 2 and 4 h and then were reoxygenated for 24 and 72 h. The expression of Bcl-2 and Bax was revealed immunocytochemically using the antiserum against Bcl-2 and Bax. The apoptosis was examined by the terminal deoxynucleotidyl transferase-mediated biotinylated deoxyuridine triphosphate nickel end labeling (TUNEL) method and flow cytometric analysis. The results showed that in cultured hippocampal neurons the Bcl-2 expression decreased while Bax expression and the percentage of apoptotic neurons increased after anoxia-reoxygenation compared with those before anoxia. In comparison with the control, after anoxia-reoxygenation the Bcl-2 expression in hippocampal neurons was higher than that in rhIL-6 group; however the Bax expression and the percentage of the apoptosis were decreased in rhIL-6 group. It is suggested that rhIL-6 may play a role in protecting neurons from the damage induced by anoxia-reoxygenation.

[CoCl2-induced enhancement of glucose transport activity in mediating hypoxic tolerance in cultured hippocampal neurons].

The effect of CoCl(2) pretreatment on glucose transport activity of cultured newborn rat hippocampal neurons and its role in neuronal hypoxic tolerance were observed. The results showed that the 2-deoxy-D-[1-(3)H ]glucose uptake rate and the mRNA expressions of glucose transporters (GLUT1 and GLUT3) in the hippocampal neurons were significantly increased after a 24-hour pretreatment with CoCl(2). The cell injury induced by 6-hour or 8-hour hypoxic exposure was also greatly reduced by CoCl(2) pretreatment. The protective effect of CoCl(2) on the neurons was largely abolished by cytochalasin B, a specific inhibitor of glucose transporters. The results suggest that CoCl(2) can increase mRNA expressions of GLUT1 and GLUT3 and glucose transporter activity of the neurons, which may be an important mechanism for the increased tolerance of the neurons to hypoxia.

Clinical presentation and surgical outcome of intramedullary spinal cord cavernous malformations.

OBJECT: Intramedullary spinal cord cavernous malformations (CMs), once thought to be extremely rare, have been diagnosed more frequently since the advent of MR imaging. In the literature, however, only a few studies include more than 10 cases. The aim of this study was to discuss the clinical presentation of intramedullary spinal cord CMs and the outcome of microsurgery for these histologically benign but clinically progressive lesions. METHODS: The authors retrospectively reviewed the records of 20 patients who underwent microsurgery for intramedullary spinal cord CMs. All patients had undergone pre- and postoperative MR imaging, and they were all treated using microsurgical resection. The diagnosis of spinal cord CMs was based on pathological criteria. The pre- and postoperative neurological states of the patients were classified according to the McCormick scale and Frankel scale. The microsurgical outcomes are presented and discussed. RESULTS: In most cases, CMs can be diagnosed on the basis of MR imaging findings, since these lesions have certain characteristic imaging patterns. Patients with intramedullary spinal cord CMs may present with either a rapid, acute onset of symptoms or slow, progressive neurological decline. The CMs in 19 of 20 patients in this series were totally resected, and most patients neurologically improved postoperatively. As previously reported, the authors confirm that the treatment of choice for symptomatic intramedullary CMs is total removal of the lesion to avoid recurrence and the possibility of further hemorrhage. CONCLUSIONS: This study has defined the clinical features of symptomatic intramedullary spinal cord CMs. Surgery is the mainstay treatment. Surgical outcome is associated with low mortality with a high probability of functional recovery, especially when symptoms are not severe and are of relatively recent onset.

Long-term P300 in hemispherectomized patients.

BACKGROUND: In the years around 1990, in Beijing Tiantan Hospital Affiliated to Capital Medical University many children with infantile hemiplegia and intractable epilepsy were treated with further modified anatomical hemispherectomy. We report the follow up of the first six cases. To make good use of these precious clinical data and make clear their neuropsychological state, we performed neuropsychological and neurophysiological measurements in these patients, who were at a median of 17.8 years after hemispherectomy. METHODS: Oddball task was given to the patients and to a normal control group to collect the peak latency (PL) and peak amplitude (PA) of event-related potentials (ERPs)-P300. The P300 data of the two groups were analyzed and the P300 patterns of the six patients are presented. The baseline characteristics and long-term follow-up of the six hemispherectomized patients, especially the long-term seizure control and cognitive function after surgery, are described. RESULTS: Five patients had no seizures and one was almost seizure-free during the years after surgery. Clear P300 was obtained from every electrode in the patients. Differences of P300 between patients and normal control group had no statistical significance. And the maximum PA was at the site of electrode Pz or Cz which was consistent with that of the control group and with previous findings. CONCLUSIONS: Further modified anatomical hemispherectomy has preferable long-term antiepileptic effects. The P300 results of the patients mean that the basic cognitive function of the patients has no difference from the control group. This reflects the plasticity of the hemisphere to some extent and increases the affirmation of the long-term curative effects of further modified anatomical hemispherectomy from both neuropsychological and neurophysiological aspects.