Educational leadership in Portugal:navigating ethics, morality, and future trends by Maria de Lurdes Neves, Maria de Lurdes Neves, Maria de Lurdes Neves

“…This study goal is to identify in 30 educational directors of school groups, their leadership perceptions and practices. As a method to achieve this goal, a mix study has been carried out using semi-structured interviews and three leadership scales (ethical, moral and transformational). …”
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Analytical Solutions for Unsteady Thin Film Flow with Internal Heating and Radiation by Ahsan Ali Naseer, Muhammad Safdar, Safia Taj, Muhammad Umair Ali, Amad Zafar, Kwang Su Kim, Jong Hyuk Byun

“…The homotopy analysis method is employed to analytically solve the reduced system of equations. …”
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Hybrid Angular Gradient Phase Grating for Measuring the Orbital Angular Momentum of Perfect Optical Vortex Beams by Chao Chu, Shecheng Gao, Zhibing Liu, Jiajing Tu, Jishun Yang, Chenglong Hao, Weiping Liu, Zhaohui Li

“…The high scalability of this method for being unrestricted by the Fourier plane and its adaptation for measuring the POV beams with different states are demonstrated by loading the HAG-PG hologram on a spatial light modulator. …”
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Effect of field‐induced dynamic parameters on the electric field distortion characteristic of high voltage oil‐immersed bushing by Mingze Zhang, Bingjie Wang, Ji Liu, Hao Yun, Dexin Li, Muhe Yu, Yufei Sun, Chunming Zhao

“…Abstract As an important component of oil‐immersed transformers, the bushing's internal insulation ageing and dampness after the long‐term operation can cause changes in the internal electric and temperature fields, seriously threatening its safe operation. …”
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Vibrational spectroscopic techniques as a tool in diagnosis of sudden cardiac death: a systematic review by Mahmut Şerif Yıldırım, Ramazan Akçan

“…Despite the advancing postmortem diagnostic methods and pathological examinations, SCD presents significant postmortem diagnostic challenges. …”
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Cattle welfare assessment based on adaptive fuzzy logic and multimodal data fusion by Lei Tong, Lei Tong, Lei Tong, Jiandong Fang, Jiandong Fang, Jiandong Fang, Xiuling Wang, Xiuling Wang, Xiuling Wang, Yudong Zhao, Yudong Zhao

“…The method establishes a quantitative scoring system based on behavioral duration and individual group differences, and designs a multi-modal data processing framework that combines Backpropagation (BP) neural networks with adaptive fuzzy logic. …”
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SCENARIO MODELING OF PROCESS OF MOVEMENT OF FINANCIAL FLOWS BETWEEN INSTITUTIONAL SECTORS IN THE REGIONAL TERRITORIAL SYSTEM by I. V. Naumov

“…It allows detecting negative trends in the movement of financial resources between sectors of the economy, and form a picture of various scenarios of transformation in the process of movement of financial flows between them under the influence of different factors. …”
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Research on Foreign Object Intrusion Detection for Railway Tracks Utilizing Risk Assessment and YOLO Detection by Shanping Ning, Rui Guo, Pengfei Guo, Lu Xiong, Bangbang Chen

“…This method integrates MobileNetv3 with Transformer to detect foreign objects on railway tracks, constructing a novel backbone feature extraction network, MobileNetV3-CATr, aimed at reducing model complexity. …”
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Improved Pork-Chop Plot for Asteroid Kinetic Impact Deflection Test Mission Trajectory Optimization by Kaiduo Wang, Mingtao Li, Jianming Wang

“…For the mission requirements of the preliminary design phase for kinetic impact deflection of asteroids, an improved pork-chop plot design method is proposed which comprehensively considers both engineering constraints and deflection effectiveness. …”
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Efficient Fourier base fitting on masked or incomplete structured data by Fariba Karimi, Fariba Karimi, Esra Neufeld, Arya Fallahi, Arya Fallahi, Vartan Kurtcuoglu, Niels Kuster, Niels Kuster

“…Despite its importance, suitable methodology addressing this challenge is not readily available.MethodsIn this study, we propose an efficient and fast Fourier base fitting method suitable for handling masked or incomplete structured data. …”
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Automatic GPR detection of grouting defects behind the tunnel shield segments based on wavelet coherence analysis combined with modified Res-RCNN by Dengyi Wang, Ming Peng, Liu Liu, Xiongyao Xie, Zhenming Shi, Yaoying Liang, Jian Shen, Qiyu Wu

“…The approach employs wavelet coherence to transform the time-series GPR profile into the time-frequency images and reveal the weak defect reflections. …”
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Combating oral biofilms in Nigerian schoolchildren: a synergistic approach using Macrosphyra longistyla extracts and titanium-ferrite nanoparticles by Nwankwo, Chukwuemeka E., Osho, Adeleke, Adewuy, Adewale, Otuechere, Chiagoziem, Olawoye, Idowu B., Fayemi, Scott O., Oguzie, Judith U., Uwanibe, Jessica, Adesina, Adedotun F., Durugbo, Ernest U., Adedokun, Oluwatobi, Ajisegiri, Damilola, Akinlawon, Ladimeji, Eromon, Philomena, Folarin, Onikepe, Happi, Christian

“…This research was carried out to isolate and control biofilm-producing bacteria using anti-infective nanoparticles and a plant extract. Methods: Biofilm-producing bacteria were isolated and characterized using microbiological techniques and next-generation sequencing. …”
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Adaptive coordinated control for an under-actuated airplane–tractor system with parameter uncertainties by Pengjie Xu, Weining Huang, Tianrui Zhao, Wei Zhang, Tongwei Lu, Guiyan Qiang, Lin Zhang, Yanzheng Zhao

“…Model accuracy and controller effectiveness are validated by comparing with other methods, the robustness of the proposed method are validated under different conditions in both simulation and real-world environment.…”
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Green synthesis of silver nanoparticles from plant Astragalus fasciculifolius Bioss and evaluating cytotoxic effects on MCF7 human breast cancer cells by Fatemeh Nosrati, Baratali Fakheri, Habib Ghaznavi, Nafiseh Mahdinezhad, Roghayeh Sheervalilou, Bahman Fazeli-Nasab

“…The results demonstrated that anzroot plant can be effectively used as a reducing agent for AgNPs synthesis, and AgNPs have the potential to be used effectively in cancer therapy methods and to inhibit the growth of cancer cells.…”
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Deep Learning Shield Attitude Prediction Model Based on Grey Correlation Analysis by Ke MAN, Zongxu LIU, Yan SHANG, Zhifei SONG, Xiaoli LIU, Bao SU

“…Objective A stacking ensemble prediction model based on long short-term memory (LSTM) and support vector regression (SVR) is proposed to address the issue of shield attitude deviation from the tunnel design axis.Methods The grey correlation analysis was employed to remove the rolling angle parameters with low grey correlation and then denoise them using discrete wavelet transform (DWT). …”
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Study on the Regulated Cell Death of Hypertrophic H9c2 Cells Induced by Au:Ag Nanoparticles by Galindo-Padrón AG, Lorenzo-Anota HY, Rueda-Munguía M, García-Carrasco A, Gaitán López M, Vázquez-Garza E, Campos-González E, Lozano O, Cholula-Díaz JL

“…The main objective of this work is to explore the susceptibility of cells due to exposure to Au:Ag NPs in conditions representing cardiometabolic diseases.Methods: Au:Ag NPs were synthesized in different molar ratios (Au:Ag, 100:0, 75:25, 50:50, 25:75, 0:100) using starch as a capping and reducing agent. …”
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Discrimination of Types of Seizure Using Brain Rhythms Based on Markov Transition Field and Deep Learning by Anand Shankar, Samarendra Dandapat, Shovan Barma

“…For this purpose, the Markov transition field transformation technique has been employed for 2D image construction by preserving statistical dynamics characteristics of EEG signals, which are very important during the discrimination of different types of seizures. …”
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A VAN-Based Multi-Scale Cross-Attention Mechanism for Skin Lesion Segmentation Network by Shuang Liu, Zeng Zhuang, Yanfeng Zheng, Simon Kolmanic

“…Various Transformer-based networks have shown significant performance advantages over mainstream neural networks in different visual tasks, demonstrating the huge potential of Transformers in the field of image segmentation. …”
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Study on the Thermal Oxidation Surface Modification and Deformation Behavior of NiTi Alloys by YU Fei, XIE Dong

“…In order to investigate the effects of thermal oxidation surface modification on the properties of NiTi alloys，the effect of preparing oxide films on NiTi alloys by thermal oxidation technique at different temperatures (300～700 ℃) in atmospheric environment was investigated.The research primarily focused on analyzing the morphology，composition，phase structure，phase transformation temperatures and mechanical properties of the Ti-O films formed at different thermal oxidation temperatures.The influence of thermal oxidation on the superelasticity and shape memory effect of NiTi alloys was investigated through tensile tests and water bath heating method.The surface morphology，phase structure，phase transformation temperatures and hardness of the thermally oxidized samples after plane stretching and water bath heating were characterized using scanning electron microscopy (SEM)，X-ray diffractometer (XRD)，differential scanning calorimetry (DSC) and hardness testing.Results showed that at lower thermal oxidation temperatures (300～400 ℃)，the oxide layer formed on the NiTi alloy surface was very thin，and no titanium oxide coating was detected.When the thermal oxidation temperature reached 600 ℃，a dense rutile-TiO2 film formed on the surface，but it was prone to cracking and peeling after tensile deformation，exhibiting poor film-substrate adhesion，which was insufficient to meet practical application requirements.Tensile and water bath heating tests showed that when the thermal oxidation temperature exceeded 400 ℃，the reverse phase transformation of the NiTi alloy during unloading could not be completed，leading to a degradation of its superelastic properties.However，after water bath heating，the B19’→B2 martensitic reverse phase transformation was completed，indicating that high-temperature oxidation did not affect the shape memory effect of the NiTi substrate.These results provided important theoretical and experimental references for studying the film-substrate adhesion and coordination properties of thermally oxidized NiTi alloys.…”
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Using GC-IMS and FTIR to investigate the effect of ionizing radiation on volatile compounds and hydrogen bonding of strong-flavor baijiu by Qi Zheng, Wenhui Tian, Shanshan Wang, Xiaoli Liu, Qiulian Kong, Ling Yue, Weiqiang Yan, Yi Zhang, Lang Nong, Xiaoyan Xu, Zhijun Chen

“…Therefore, this study employed headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS), fourier transform infrared (FTIR), and sensory evaluation to analyze the quality differences among SFB samples subjected to various irradiation treatments. …”
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