Leaflet: Operative Steps for Interventional Studies in Neuroscience by Maria Meringolo, Sergio Delle Monache, Giuseppina Martella, Antonella Peppe

“…To achieve our objectives, we considered the official websites of regulatory authorities, the EQUATOR network, and recent publications in the field. The paper includes key elements such as criteria for subject selection, methods of evaluation, variable analysis, and statistical methodology approaches. …”
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Systems science and systems thinking for public health: a systematic review of the field by Gemma Carey, Brad Crammond, Eleanor Malbon, Nicole Carey, Andrew Joyce, Alan Carey

“…Objectives This paper reports on findings from a systematic review designed to investigate the state of systems science research in public health. …”
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Federated Digital Twins: A Scheduling Approach Based on Temporal Graph Neural Network and Deep Reinforcement Learning by Young-Jin Kim, Hanjin Kim, Beomsu Ha, Won-Tae Kim

“…To address this challenge, this paper proposes the fDT-DT scheduling framework. This framework effectively represents relationships among DTs using temporal heterogeneous graphs and generates flexible and scalable schedules by incorporating temporal graph neural networks and deep reinforcement learning to account for variable processing speeds. …”
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Traditional Chinese Medicine nursing for a rheumatoid arthritis patient with knee joint pain (尪痹双膝关节疼痛患者中医特色护理体会) by ZHAO Lixue (赵丽雪), WANG Chun (王纯), LI Suqian (李苏茜), YAO Jianshuang (姚建爽), TANG Ling (唐玲), LI Ye (李野)

“…T his paper summarized the Traditional Chinese Medicine (TCM) nursing management for a rheumatoid arthritis patient with knee joint pain. …”
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University property complexes in the conditions of implementation of the Russian Federation state policy in the sphere of higher education by N. G. Verstina, S. S. Igitkhanyan, O. F. Tsuverkalova

“…Introduction. The paper considers the questions of the formation of a new approach to the study of property complexes of universities, which are traditionally dominated by real estate. …”
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Nursing of a patient with subcutaneous hematoma after peripherally inserted central catheter placement treated with Sanhuang ointment external application (三黄膏外敷治疗经外周静脉置入中心静脉导管穿刺后血... by ZHOU Zhijuan (周志娟), CHEN Chang (陈嫦), HUANG Jinlan (黄金兰)

“…This paper summarized the nursing of a patient with subcutaneous hematoma after peripherally inserted central catheter (PICC) placement treated with Sanhuang ointment external application. …”
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The evolution of the Gulf Coopera-tion Council approaches to security issues after the Arab Spring by E. S. Melkumyan

“…This inevitably aff ected the activities of the Gulf Cooperation Council, which was from the outset established in order to enhance cooperation between the countries of the region primarily in the fi eld of security. This paper attempts to identify the key milestones, factors and trends that have shaped the GCC decision-making process in the security sphere over the past 10 years since the beginning of the Arab Spring. …”
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Clinical Scenarios for Discordant Anti-Xa by Jesus Vera-Aguilera, Hindi Yousef, Diego Beltran-Melgarejo, Teng Hugh Teng, Ramos Jan, Mary Mok, Carlos Vera-Aguilera, Eduardo Moreno-Aguilera

“…To our knowledge this is the first paper that summarizes the most common causes in which this assay can be affected, several “day to day” clinical scenarios can modify the outcomes, and we concur that these rarely recognized scenarios can be affected by negative outcomes in the daily practice.…”
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Knowledge-Based Deep Learning for Time-Efficient Inverse Dynamics by Shuhao Ma, Yu Cao, Ian D. Robertson, Chaoyang Shi, Jindong Liu, Zhi-Qiang Zhang

“…Computational musculoskeletal modeling has been widely used as a powerful non-invasive tool to estimate them through inverse dynamics using static optimization, but the inherent computational complexity results in time-consuming analysis. In this paper, we propose a knowledge-based deep learning framework for time-efficient inverse dynamic analysis, which can predict muscle activation and muscle forces from joint kinematic data directly while not requiring any label information during model training. …”
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Chronic Endometritis and Antimicrobial Resistance: Towards a Multidrug-Resistant Endometritis? An Expert Opinion by Francesco Di Gennaro, Giacomo Guido, Luisa Frallonardo, Laura Pennazzi, Miriana Bevilacqua, Pietro Locantore, Amerigo Vitagliano, Annalisa Saracino, Ettore Cicinelli

“…Treatment typically involves antibiotic therapy; however, the efficacy of these treatments is increasingly compromised by the rise of antimicrobial resistance (AMR). This paper examines the critical links between AMR and CE, proposing strategies to enhance clinical management and optimize treatment outcomes.…”
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A Microfabrication Technique for High-Performance Diffractive Optical Elements Tailored for Numerical Simulation by Xingang Dai, Yanjun Hu, Bowen Niu, Qun Dai, Yu Ao, Hongru Zhang, Gaoshan Jing, Yuan Li, Guofang Fan

“…The performance of DOEs is highly determined by fabricated materials and fabrication methods, in addition to the numerical simulation design. This paper presents a microfabrication technique optimized for DOEs, enabling precise control of critical parameters, such as refractive index (RI) and thickness. …”
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Enhanced CATBraTS for Brain Tumour Semantic Segmentation by Rim El Badaoui, Ester Bonmati Coll, Alexandra Psarrou, Hykoush A. Asaturyan, Barbara Villarini

“…Our study aims to demonstrate improved segmentation accuracy and higher statistical stability, using datasets obtained from diverse imaging acquisition parameters. This paper introduces a novel, fully automated model called Enhanced Channel Attention Transformer (E-CATBraTS) for Brain Tumour Semantic Segmentation; this model builds upon 3D CATBraTS, a vision transformer employed in magnetic resonance imaging (MRI) brain tumour segmentation tasks. …”
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Multiscale wildfire and smoke detection in complex drone forest environments based on YOLOv8 by Wenyu Zhu, Shanwei Niu, Jixiang Yue, Yangli Zhou

“…With the advancement of drone technology and deep learning, using drones combined with artificial intelligence for fire monitoring has become mainstream. This paper proposes an improved YOLOv8-based model that incorporates local convolution instead of full convolution in the C2F module and integrates the EMA module to enhance the feature channel interaction modeling capability and contextual information utilization, thereby reducing model complexity and increasing efficiency. …”
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Study of nonlinear wave equation of optical field for solotonic type results by Ikram Ullah, Muhammad Bilal, Dawood Shah, Hasib Khan, Jehad Alzabut, Hisham Mohammad Alkhawar

“…This paper uses the fractional perturbed Gerdjikov–Ivanov (PGI) model, a basic mathematical framework in mathematical physics and nonlinear dynamics, to examine complex wave structures using the M-fractional operator and modified Extended Direct Algebraic Method (mEDAM). …”
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Data driven prediction of fragment velocity distribution under explosive loading conditions by Donghwan Noh, Piemaan Fazily, Songwon Seo, Jaekun Lee, Seungjae Seo, Hoon Huh, Jeong Whan Yoon

“…The fragment resultant velocities are correlated with key design parameters including casing dimensions and detonation positions. The paper details the finite element analysis for fragmentation, the characterizations of the dynamic hardening and fracture models, the generation of comprehensive datasets, and the training of the ANN model. …”
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A Polynomial-Time Algorithm for Detection of Uncovered Transitions in a Petri Net-Based Concurrent System by Marcin Wojnakowski, Maxim Maliński, Remigiusz Wiśniewski, Andrzej Obuchowicz, Zhiwu Li, Dawid Konarczak

“…This paper introduces a novel algorithm for the efficient verification of a Petri net-based concurrent control system. …”
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Nursing of a pediatric patient with immune dysregulation, polyendocrinopathy, enteropathy, X-linked syndrome (1例罕见IPEX综合征患儿的护理) by ZHU Huiyun (朱慧云), WANG Suling (王苏玲)

“…Immune dysregulation, polyendocrinopathy, enteropathy, X-linked (IPEX) syndrome is a rare, fatal autoimmune disorder caused by mutations in the FOXP3 gene leading to the disruption of signaling pathways involved in regulatory T-lymphocyte function. This paper reviewed the clinical data of an IPEX child with respiratory and gastrointestinal symptoms as main symptoms, and summarized treatment and nursing experience. …”
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Reducing Emissions Using Artificial Intelligence in the Energy Sector: A Scoping Review by Janne Alatalo, Eppu Heilimo, Mika Rantonen, Olli Väänänen, Tuomo Sipola

“…Search phrases and inclusion criteria were decided based on this research question. In total, 186 papers from the search results were screened, and 16 papers fitting our criteria were summarized in this study. …”
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MINERALOGICAL FEATURES AND PHYSICOCHEMICAL FORMATION CONDITIONS OF VEIN MINERALIZATION OF THE SOUTHERN FLANK OF THE SAF´YANOVKA MASSIVE SULFIDE DEPOSIT (CENTRAL URALS) by N.P. Safina, A.V. Korovko, I.A. Blinov, N.N. Ankusheva, M.A. Rassomakhin, K.A. Filippova

“…The paper presents the results of studies of sulfide and fluorite veins of the southern flank of the Saf´yanovka massive sulfide deposit, Central Urals. …”
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Intellectual Capital and Firm Performance in the Context of Venture-Capital Syndication Background in China by Yuzhong Lu, Zengrui Tian, Guillermo Andres Buitrago, Shuiwen Gao, Yuanjun Zhao, Shuai Zhang

“…This paper is intended to investigate the role of Venture-Capital Syndication (VCS) background in the relationship between intellectual capital (IC) and portfolio firm performance (PFP); specifically, this article examines the moderating effect of VCS’s leading firm background and member heterogeneity on the effect of IC on PFP. …”
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