bluuebunny/crossref_metadata_2025_split huggingface dataset:
Epilepsy and the “dark” literature of the Greek novelist Demosthenes Voutyras: an outstanding epileptic personality
Authors: Patrikelis Panayiotis , Messinis Lambros , Folia Vasiliki , Nasios Grigorios , Alexoudi Athanasia , Verentzioti Anastasia , Korfias Stefanos , Kimiskidis Vasileios , Gatzonis Stylianos 
Published: March 2023

Abstract
Background The role of temporal lobe epilepsy (TLE) in determining personality traits and neurobehavioral symptoms, collectively known as the interictal behavioral syndrome (also known as Geschwind syndrome or “Gastaut-Geschwind syndrome”), as well as the syndrome's association with the particular artistic expression of many epileptic litterateurs are well known in neurology and psychiatry. A deepening of emotionality along with a serious, highly ethical, and spiritual behavior have been described as positive personality changes among patients with chronic mesial-TLE.
Objectives Our narrative-based clinical hypothesis aims at contributing to the ongoing debate on the association between TLE and artistic expression, as well as the latter's supposed implication for epileptology in general and the neuropsychology of epilepsy in particular.
Methods Through an analysis of the biography, language, and literary work of Greek novelist Demosthenes Voutyras, we hypothesize that his mystical and dark writing style could be attributed to medial temporal interictal dynamics.
Conclusions We suggest that the psycholiterary profile of Voutyras is consistent with the idiosyncratic characteristics of the temporal lobe personality, while a non-dominant temporal lobe contribution has been proposed.
Imaging Recommendations for Theranostic PET-CT in Oncology
Authors: Parghane Rahul V. , Mahajan Abhishek , Chakrabarty Nivedita , Basu Sandip 
Published: March 2023

AbstractWe in this article have presented a review of the guideline recommendations on theranostic positron emission tomography-computed tomography (PET-CT) imaging which will be helpful to assist practitioners in providing appropriate patient care. Multiple guidelines by different societies and medical associations provide standards for diagnosis, imaging, and treatment of cancer patients. They have generated a number of recommendations related to 68Ga-DOTATATE and 68Ga-PSMA-11 PET-CT, which are the classical examples of theranostic PET-CT imaging in current practice.
Imaging Recommendations for Diagnosis, Staging, and Management of Oral Cancer
Authors: Mahajan Abhishek , Agarwal Ujjwal , PG Nandakumar , Vaish Richa , Shukla Shreya , Sahu Arpita , Bhalla Ashu Seith , Patil Vasundhara , Ankathi Suman Kumar , Laskar Sarbani Ghosh , Patil Vijay , Noronha Vanita , Menon Nandini , Prabhash Kumar , Shah Diva , Patil Asawari , Ahuja Ankita , Chaturvedi Pankaj , Pai Prathamesh S. , Dcruz A K 
Published: March 2023

AbstractOral cavity cancers contribute to a majority of cancers in India. Clinical examination alone cannot determine the deeper extent of the disease; therefore, need for cross-sectional imaging including computed tomography and magnetic resonance imaging becomes indispensable for pre-treatment evaluation to decide optimal plan of management. Oral cavity squamous cell cancers (OSCC) can be treated with surgery alone, whereas deep muscle, neurovascular, osseous, or nodal involvement on imaging suggests advanced disease that requires a combination of surgery, radiation, and/or chemotherapy. Because of the complex anatomy of the oral cavity and its surrounding structures, imaging is crucial for locoregional staging and early detection of distant metastases. Imaging plays indispensable role not only in diagnosis but also in planning the management. An optimal guideline paper for developing countries like India is lacking that not only helps standardize the management but will also assist oncologists make reasonable decisions and reduce the unnecessary imaging. This imaging guideline paper will discuss the optimal imaging in diagnosis and management OSCC for Indian subcontinent.
Microtia Reconstruction: Our Strategies to Improve the Outcomes
Authors: Sharma Mohit , G. Srilekha Reddy , Kongara Shruti , Jain Vasundhara , K.S Shravan Rai , Harijee Ankita , Badam Abhinandan , Maharaja Nirav G. , Joseph Thomas , R. Janarthanan , Iyer Subramania 
Published: March 2023

Abstract
Introduction: Autologous costal cartilage framework placement is currently the gold standard in patients with microtia. In this article, we present the modifications developed by the author, generally following the principles established by Nagata, and discuss the technical details that have led us to achieve consistently stable and good long-term outcomes for auricular reconstruction in microtia.
Materials and Methods: A retrospective review of microtia reconstruction performed from 2015 to 2021 was done. Those who underwent primary reconstruction for microtia and with a minimum follow-up of 6 months with documented photographs were included. Those who underwent secondary reconstruction for microtia and those who did not follow-up for a minimum period of 6 months were excluded. Outcomes were assessed with regard to appearance, and durability of the result. Influence of certain changes like delaying reconstruction until 15 years of age, use of nylon for framework fabrication, etc. over the outcome were assessed.
Results: Of 11 ears reconstructed at less than 15 years of age, only one patient (9%) had a good long-term outcome, whereas of the 17 ears reconstructed at greater than 15 years of age, nine patients (53%) had a good long-term outcome. In our experience, infections and wire extrusions were the significant events related to severe cartilage resorption.
Conclusion: In our experience, delaying the first stage to 15 years or later, using double-armed nylon sutures, and reducing the projection of the third layer of the framework in select cases have helped to improve our outcomes. Second stage of reconstruction can be avoided if patient is satisfied with the projection achieved in the first stage.
Macaques recognize features in synthetic images derived from ventral stream neurons
Authors: Mueller Katherine N. , Carter Mary C. , Kansupada Jeevun A. , Ponce Carlos R. 
Published: March 2023

Primates can recognize features in virtually all types of images, an ability that still requires a comprehensive computational explanation. One hypothesis is that visual cortex neurons learn patterns from scenes, objects, and textures, and use these patterns to interpolate incoming visual information. We have used machine learning algorithms to instantiate visual patterns stored by neurons—we call these highly activating images prototypes. Prototypes from inferotemporal (IT) neurons often resemble parts of real-world objects, such as monkey faces and body parts, a similarity established via pretrained neural networks [C. R. Ponce
et al
.,
Cell
177
, 999–1009.e10 (2019)] and naïve human participants [A. Bardon, W. Xiao, C. R. Ponce, M. S. Livingstone, G. Kreiman,
Proc. Natl. Acad. Sci. U.S.A.
119
, e2118705119 (2022)]. However, it is not known whether monkeys themselves perceive similarities between neuronal prototypes and real-world objects. Here, we investigated whether monkeys reported similarities between prototypes and real-world objects using a two-alternative forced choice task. We trained the animals to saccade to synthetic images of monkeys, and subsequently tested how they classified prototypes synthesized from IT and primary visual cortex (V1). We found monkeys classified IT prototypes as conspecifics more often than they did random generator images and V1 prototypes, and their choices were partially predicted by convolutional neural networks. Further, we confirmed that monkeys could abstract general shape information from images of real-world objects. Finally, we verified these results with human participants. Our results provide further evidence that prototypes from cortical neurons represent interpretable abstractions from the visual world.
Research on Navigation Motion Control Method of Intelligent Delivery Robot for Substation Maintenance
Authors: Yu Yan , Wen Kang , Yi Xiao , Chuang Gong , Wei Jiang 
Published: March 2023

Abstract
The intelligent delivery robot for substation maintenance is a kind of intelligent equipment for substation maintenance of power system, which can assist or even replace the artificial equipment to carry equipment in the substation. It has important theoretical significance and practical application value for the automation of intelligent operation and maintenance management of substation. Substation maintenance the autonomous navigation of the robot motion control is the key to promote its practical application, based on this, this paper proposes a substation maintenance intelligent vehicle robot navigation motion control method, the ground mobile robot motion control model was established, and decomposition to the movement of robot in space, deduced the robot along the X, Y, Z direction of movement error expressions, based on this, the motion of the robot controller is designed and selected the suitable Lyapunov function proved that the stability of the robot system motion, finally, the robot system integration design, substation inspection robot physical prototype system is developed and in substations is verified by field movement navigation motion control method is feasible and effective.
A CVT Parameter Identification Method Based on Improved Grey Wolf Optimizer
Authors: Yu Yuchen , Chen Xuxuan , Tang Hao , Lei Yuanyuan 
Published: March 2023

Abstract
Aiming at the problem that harmonic simulation model parameters of capacitive voltage transformer (CVT) are difficult to determine, an identification method of equivalent circuit parameters of CVT is proposed. By studying the frequency response, a nonlinear equation about the equivalent circuit parameters of CVT is established. By analyzing the characteristics of the equation and combining with the actual use, an improved grey wolf optimizer is applied to achieve the accurate identification of the key parameters of CVT. On the basis of grey wolf optimizer, the algorithm introduced a good point set and comprehensive dimension learning strategy to prevent the algorithm from falling into local optimum, and modified the convergence factor according to the actual needs to improve the convergence accuracy. Finally, three numerical examples are simulated by MATLAB/Simulink software, which proves the feasibility and superiority of the proposed method in CVT application.
Fiber Optic MEMS Ultrasonic Sensor and its Application in Partial Discharge Detection
Authors: Liu Kang , Shi Ji , Xie Lang , Zhou Qian , Zhang Juanjuan , Liu Yurui 
Published: March 2023

Abstract
In this paper, an optical fiber based ultrasonic sensor was designed and applied to the detection and position of partial discharge (PD). The Fabry-Perot interferometer with a micro-electromechanical system (MEMS) diaphragm has been proven to have high sensitivity, with broadband acoustic frequency response up to 500 kHz and wide directivity. In the PD detection experiment, the minimum detectable pressure (MDP) of the fiber optical MEMS sensor is achieving 0.455μPaHz
-1/2. In addition, four ultrasonic sensors are arranged around the ultrasonic source to conduct localization experiments. The results show that the system has excellent localization performance in x, y and z directions. The favourable acoustic performance of the MEMS sensor provides a high-sensitivity and high signal-to-noise ratio (SNR) detection method for PD detection.
Parameter Design of Software Phase-Locked Loop Based on Z-domain
Authors: Lv Fei , Zhang Songtao , Ji Zhe 
Published: March 2023

Abstract
Exact phase information is essential for the smooth operation of most modern power conversion devices. Software phase locked loop (SPLL) has favorable condition for free design and high adaptability to gain phase and frequency information of power voltage quickly and accurately. In this thesis, we analyze SPLL principle, obtain the z-domain SPLL linearization model, then analyze the stability and error of the SPLL linearized model, and design parameters o the SPLL controller under the z-domain, and finally, simulate and verify for two power voltage phase jump cases. The simulation results show the correctness of the design method.
Multi-mode Control Method Developed for Aircraft System Management
Authors: Zhang Ying , Peng Di , Wang Shihui , Tao Yizhu , Hu Yufei 
Published: March 2023

Abstract
This paper studies the analysis of aircraft system which has the development for multi-mode architecture, as well as the application of multi-mode control, multi-mode monitoring and multi-mode fast parallel management. Through the research and analysis of multi-mode architecture, multi-mode control algorithm, multi-mode health monitoring algorithm and multi-mode rapid parallel test. GigaDevice’s MCU (GD32F450) is used using an MCU, and the FPGA is two Chip Anlu’s AL3A10BGA256, FLASH uses GigaDevice’s GD25Q64CSIG to simulate the aircraft development system. The effectiveness of a multi-mode control management method developed for aircraft was developed. This method changes the single-mode management and disposal scheme of traditional aircraft, and adopts the mode control management of real-time detection. It effectively saves system resource consumption and expenditure in aircraft development.
Numerical Investigation of Piezoelectric Vibration Energy Harvesting with L-shaped Beam
Authors: Lin Gang , Xie Yinghe , Zhong Qihao , Zeng Wei , Chen Zhenliang , Zhang Xi 
Published: March 2023

Abstract
Energy harvesting efficiency is a crucial problem in practical engineering applications of piezoelectric vibration energy harvester. L-shaped piezoelectric vibration energy harvester has the potential of broadband and high energy harvesting efficiency. Different vibration energy harvesting structures are numerically investigated here to compare their energy harvesting efficiencies, including traditional cantilever beam structure and L-shaped structures. Verification and validation of the numerical simulation approach adopted here are conducted firstly, through comparing the numerical results with the theoretical and experimental results respectively. Modal analysis and harmonic response analysis are conducted consequently to obtain the natural frequencies and voltage outputs of different harvesters. Numerical results show that, L-shaped harvester is a potential broadband energy harvesting structure with higher energy harvesting efficiency compared with traditional cantilever harvester.
Research on Grid-connected Performance of Solar-thermal-storage Coupled System Including Thermal, PV and Flywheel
Authors: Li Xutao , Yu Dahai , Li Yan , Bai Shibin , Ren Yong , Nian Ming 
Published: March 2023

Abstract
With the rapid development of renewable energy, the demand for frequency regulation and peak shaving of coal-fired power plants is increasing. As the utilization hours of coal-fired power plants are gradually reduced, the economy of coal-fired power plants is gradually reduced. In order to improve the economic benefits of thermal power plants, thermal power plants are changing from the income model dominated by power generation to the income model of “cogeneration of power generation and auxiliary power service”. Among them, the energy storage system of Lingwu power plant of Ningxia electric power company of Guoneng group belongs to the first large-scale thermal power plant large-capacity solar thermal energy storage (flywheel) project at home and abroad. While ensuring the functions of conventional power supply, heating and cogeneration, the system can also provide auxiliary power services, support the safe and stable operation of a large power grid, and improve the flexibility and economic benefits of traditional thermal power plants. With the application of new technologies in coal-fired power plants, improving the economy of coal-fired generating units and power auxiliary services will be the main direction of power generation groups. At the same time, it also puts forward new requirements for power grid operation.
Research on Tool Carts Based on Modular Drilling Rig Assembly
Authors: Wang Xinkuan , Liu Ruijun , Liu Quan , Zhang Yiqing , Gao Yiran 
Published: March 2023

Abstract
Drilling rigs play an important role in the foundation construction of UHV engineering, with the rapid development of power construction, the demand for drilling rigs by related construction units is also increasing, especially drilling rigs adapted to mountain environments, and the development of related construction tools has huge market prospects. In view of the problem of UHV engineering mountain construction machine entry, the traditional integral drilling rig has been transformed into a modular drilling rig, and the modular construction equipment is transported to the construction site through the cableway, and then the module is assembled. To this end, this paper carries out the research of tool carts to assist modular equipment assembly and auxiliary construction, introduces the design requirements and overall design scheme of tool carts, and studies the walking chassis, frame module, power module, boom module, mechanical gripper module, etc. The research results of this paper can change the existing construction situation, shorten the assembly time of construction equipment, and promote the development of modular construction equipment.
Analysis on the Evolution and Seasonal Variation of the Ulleung Warm Eddy
Authors: Kong Chuiri 
Published: March 2023

Abstract
The Ulleung Warm Eddy (UWE) is a semi-permanent eddy, which has a very important impact on material transport in the Japan Sea, so we use aviso(Archiving, Validation and Interpretation of Satellite Oceanographic data) data and ARM3D data to analyze the seasonal variation of UWE that appeared in a total of 28 years from 1993 to 2020. We also analyze the evolution of the UWE that appears in 2019, and found that the eddies merging (splitting) can cause sudden increases (drops) in the nature of UWE. Seasonally, UWE’s area and eddy amplitude are strong in winter and spring, and weak in summer and autumn. The Tsushima Current (TC) has an important influence on UWE. The stronger (weaker) flow of TC, the weaker (stronger) the area and eddy amplitude of UWE.
Calculation method based on a BGO+SiPM detector for ^13N gas coincidence detection efficiency
Authors: Chen X. , Hu C.Y. , Qu G.P. , Zheng B. , Zhang H.J. 
Published: March 2023

Abstract
To reduce the lower detection limit of 13N gas, we
design a γ-γ coincidence measuring instrument
including two detectors, a sampling vessel, and a summation and
coincidence circuit in this work. The detector uses a
13 cm × 5 cm oversized Bi4Ge3O12
(BGO) scintillator and 172 silicon photomultiplier (SiPM) tubes,
which greatly reduce the instrument size while improving the
coincidence detection efficiency. The 13N gas coincidence
detection efficiency is improved by installing a multilayer metal
absorber plate inside the cylindrical sampling vessel. Due to the
short half-life of 13N gas, it cannot be stored for a long
time; additionally, it is difficult to obtain. It is not possible to
directly scale the coincidence detection efficiency of this
instrument using a 13N gas source with known activity in
engineering projects. Based on the spatial distribution of the
relative efficiency of the sampling vessel and the absolute
efficiency of the reference point, we use a combination of 22Na
solid point source experiments and Monte Carlo simulations to
calculate the coincidence detection efficiency of this instrument
for 13N gas in this work; the coincidence detection efficiency
is approximately 4%, which meets the engineering design
requirements.
Interstitial fluid flow contributes to prostate cancer invasion and migration to bone; study conducted using a novel horizontal flow bioreactor
Authors: Jasuja Haneesh , Jaswandkar Sharad V , Katti Dinesh R , Katti Kalpana S 
Published: March 2023

Abstract
Prostate cancer bone metastasis is the leading cause of cancer-related mortality in men in the United States, causing severe damage to skeletal tissue. The treatment of advanced-stage prostate cancer is always challenging due to limited drug treatment options, resulting in low survival rates. There is a scarcity of knowledge regarding the mechanisms associated with the effects of biomechanical cues by the interstitial fluid flow on prostate cancer cell growth and migration. We have designed a novel bioreactor system to demonstrate the impact of interstitial fluid flow on the migration of prostate cancer cells to the bone during extravasation. First, we demonstrated that a high flow rate induces apoptosis in PC3 cells via TGF-β1 mediated signaling; thus, physiological flow rate conditions are optimum for cell growth. Next, to understand the role of interstitial fluid flow in prostate cancer migration, we evaluated the migration rate of cells under static and dynamic conditions in the presence or absence of bone. We report that CXCR4 levels were not significantly changed under static and dynamic conditions, indicating that CXCR4 activation in PC3 cells is not influenced by flow conditions but by the bone, where CXCR4 levels were upregulated. The bone-upregulated CXCR4 levels led to increased MMP-9 levels resulting in a high migration rate in the presence of bone. In addition, upregulated levels of α
v
β
3 integrins under fluid flow conditions contributed to an overall increase in the migration rate of PC3 cells. Overall, this study demonstrates the potential role of interstitial fluid flow in prostate cancer invasion. Understanding the critical role of interstitial fluid flow in promoting prostate cancer cell progression will enhance current therapies for advanced-stage prostate cancer and provide improved treatment options for patients.
Evaluating polythiophenes as temperature sensing materials using combinatorial inkjet printing
Authors: Roy Anindya Lal , Beaumont Catherine , Leclerc Mario , Walus Konrad 
Published: March 2023

Abstract
Polythiophenes comprise a class of emerging materials with potential applications in the field of temperature sensing. In this article, we validate and apply an integrated blending and printing methodology to combinatorially study libraries of pristine and compositionally graded blends of polythiophenes PEDOT:PSS and P(S-EDOT) (a PEDOT-like self-doped conjugated polymer) to understand their intrinsic electrical conductivity behaviour and along with its temperature dependence on blend composition and ambient temperature. Hypothesis testing is conducted to identify optima in electrical conductivity from combinations of input material proportions intended to meet multiple requirements otherwise difficult to achieve in any single-component solution-processable material. We chose PEDOT:PSS as a commercial developed intrinsically conductive polythiophene and with it, compared a novel self-doped polythiophene P(S-EDOT) as its potential replacement or complement as a sensor material. The electrical and morphological characteristics for both polymers and their blends were investigated for use as different components of temperature sensing applications. Different error sources within the process flow were considered for statistically significant conclusions regarding the utility of different compositions for different aspects of temperature sensing.