Negative / Null Result ReportOpen accessEngineering
Angela Stefania Bergantino, Giulio Fusco, Mario Intini et al. · 2025 · The Annals of Regional Science
Abstract The digital economy can function either as a catalyst to stimulate economic growth or else as a driver of socioeconomic inequality when its benefits are unevenly distributed. This study investigates the effect of rural digital connectivity on income inequality in Italy. Utilizing NUTS 3 panel data spanning 2014–2022, we conduct a counterfactual Difference-in-Differences approach with continuous treatment intensity to estimate the impact of introducing rural broadband coverage at speeds of 30 and 100 Mbps on multiple measures of income distribution, including the Gini, Theil, and Atkin
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Jieling Qin, Zhenqi Jiang · 2026 · International Journal of Molecular Sciences
Metastatic breast cancer remains a significant therapeutic challenge due to its high invasiveness and resistance to conventional treatments. In this study, an ultrasound-responsive copper-calcium phosphate (Ca19Cu2(PO4)14) nanomaterial is developed for synergistic ion-mediated tumor therapy. The Ca19Cu2(PO4)14 nanomaterials exhibit a uniform morphology and crystalline structure, as well as good colloidal stability. Upon ultrasound irradiation, the release of Cu2+ and Ca2+ is spatiotemporally controlled via mechanical and cavitation effects. In vitro studies using highly metastatic 4T1 cells de
View details →Negative / Null Result ReportOpen accessEngineering
Rui Zhao, Qiushi Feng, Yangyang Xia et al. · 2025 · Pharmaceuticals
The inherent complexity and heterogeneity of tumors pose substantial challenges for the development of effective oncology therapeutics. Organoids, three-dimensional (3D) in vitro models, have become essential tools for predicting therapeutic responses and advancing precision oncology, with established correlations to clinical outcomes in patient-derived models. These systems have transformed preclinical drug screening by bridging the gap between conventional two-dimensional (2D) cultures and in vivo models, preserving tumor histopathology, cellular heterogeneity, and patient-specific molecular
View details →Negative / Null Result ReportOpen accessEngineering
Yawen Zhu, Wanqi Yang, Zhong‐Xia Wang et al. · 2025 · Journal of Nanobiotechnology
Liver regeneration is a sophisticated biological process influenced by a complex microenvironment that becomes profoundly altered in various pathological conditions. Current therapeutic approaches, including liver transplantation and…
View details →Negative / Null Result ReportOpen accessEngineering
Cao Zhengzheng, Xie Mengqi, Rong Tao et al. · 2026 · Scientific Reports
With the development of underground engineering and oil and gas exploitation, the problem of fluid-solid interaction in fractured rock mass has become increasingly prominent, and its complex coupling mechanism has a profound impact on the…
View details →Negative / Null Result ReportOpen accessEngineering
Junyi Yin, Jie Zhu, Shaolei Wang et al. · 2026 · Nature Communications
One-dimensional (1D) multifunctional fibers have garnered significant attention due to their advantageous geometry properties, which allows conformal interfacing with soft biological tissues and efficient charge transport. Here, we…
View details →Null DatasetOpen accessEngineering
Yongxiang Liu, Weijie Li, Li Liu et al. · 2026 · IEEE Transactions on Pattern Analysis and Machine Intelligence
The absence of publicly available, large-scale, high-quality datasets for Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) has significantly hindered the application of rapidly advancing deep learning techniques, which hold huge potential to unlock new capabilities in this field. This is primarily because collecting large volumes of diverse target samples from SAR images is prohibitively expensive, largely due to privacy concerns, the characteristics of microwave radar imagery perception, and the need for specialized expertise in data annotation. Throughout the history of SAR AT
View details →Negative / Null Result ReportOpen accessEngineering
Jun Tao, Zhihan Wang, Jianqiu Wu et al. · 2026 · Remote Sensing
Early detection of agricultural fires with Unmanned Aerial Vehicles (UAVs) is important for environmental safety, yet it remains difficult because ignition cues are extremely small, smoke patterns vary widely, and farmland scenes often contain strong background interference such as specular reflections. Model development is further constrained by the scarcity of data from the early ignition stage. To address these challenges, we propose a joint data and model optimization framework. We first build a hybrid dataset through an ROI-guided synthesis pipeline, in which latent diffusion models are u
View details →Negative / Null Result ReportOpen accessEngineering
Yuzhou Tang, Judith S. Ford, Tim T. Cockerill · 2026 · Biochar
Abstract The agricultural sector urgently requires scalable solutions to reduce greenhouse gas (GHG) emissions from residue management. Biochar offers a promising carbon removal pathway, but its adoption is limited by technical, regulatory, and economic barriers. A key constraint is the lack of system designs that can accommodate multiple feedstocks while complying with land application regulations. This study designs and evaluates an integrated biochar production system that enables the separate processing of straw and manure through parallel pyrolysis lines, while optimising internal energy
View details →Negative / Null Result ReportOpen accessEngineering
Prabhu Gurunathappa Sheelavantar, Poornachandra Pandit, Shreelaxmi Prashant · 2026 · Scientific Reports
Abstract The need for sustainable, practical alternatives to Portland cement and two-part alkali-activated systems has led to the development of one-part alkali-activated concrete (OPAAC), which efficiently reuses industrial by-products like fly ash and ground granulated blast furnace slag (GGBS). This study evaluates the fresh (workability) and hardened properties (compressive, tensile, and flexural strengths) of FA-GGBS-based OPAAC, along with durability indicators including sorptivity and chloride ion permeability. A performance-based multi-response optimization using a Taguchi L 9 array an
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Anass Moukhliss, Abdellatif Rahmouni, Rhali Benamar · 2025 · Scientific Reports
This paper proposes a discrete physical model (DPM) for the transverse free vibrations of non-uniform bi-directional functionally graded (2D-FGM) beams. The material properties vary in both the axial and thickness directions according to exponential laws, and the beam rest on a spatially variable elastic foundation and satisfy general support conditions. In the proposed formulation, the continuous beam is replaced by a multi-degree-of-freedom chain of lumped masses connected by bars and linear rotational and vertical springs. An adaptive discretization strategy is employed to construct consist
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Yiting Lei, Yuwei Zhang, Liangbin Zhou et al. · 2025 · Journal of Orthopaedic Translation
models of orthopaedic conditions have yielded valuable insights into disease mechanisms and drug efficacy, only a few discoveries have been successfully translated to clinical practice. Organoids and organs-on-chips (OoCs) are transforming…
View details →Negative / Null Result ReportOpen accessEngineering
Teevrat Garg, Ryan Hanna, Jeff Myers et al. · 2026 · Journal of Environmental Economics and Management
Aligning electric vehicle (EV) charging with periods of abundant clean energy is essential for decarbonizing transportation. In solar-dominated grids, this requires shifting charging to midday hours – when vehicles are typically parked at workplaces. Yet workplace charging networks operate under institutional constraints such as shared infrastructure, bundled parking and charging services, and limited willingness to require drivers to move vehicles, making time-of-day pricing and active management difficult to implement. In a natural field experiment (n = 629 drivers) across a large workplace
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Bin Liu, Changfeng Yan, Ming Lv et al. · 2026 · Computers in Industry
Domain adaptation-based methods are extensively applied to predict the Remaining Useful Life (RUL) of rolling bearings under complex operating conditions. However, the nonlinear degradation process of bearings gives rise to markedly…
View details →Negative / Null Result ReportOpen accessEngineering
Kaituo Li, Lin Zhu, Fei Xiong et al. · 2026 · Processes
Enhanced geothermal systems (EGS) are a key technology for developing deep geothermal resources, yet they face significant challenges in constructing efficient thermal reservoirs within high-stress, high-strength, and low-permeability crystalline rock formations. Traditional hydraulic fracturing (HF) techniques encounter deep challenges in these environments, including excessively high fracturing pressures, limited fracture network patterns, and the risk of induced seismicity. This paper reviews the multi-scale thermal-mechanical mechanisms, fracture evolution patterns, and control strategies
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Zhenlin Zhang, Lang Yan, Weiwei Li et al. · 2026 · Nature Communications
In the development of clinically translatable triplet photosensitizers for hypoxia regulated photodynamic therapy (PDT), there is an unmet need for engineering sensitizers as near-infrared (NIR)-responsive, type I/type Ⅱ dual…
View details →Negative / Null Result ReportOpen accessEngineering
Joao Gabriel Ostrowski, József Menyhárt · 2020 · Acta Polytechnica Hungarica
Based particularly on data technologies, information is rapidly evolving in engineering. In mechanical engineering, maintenance is benefiting the most from data innovations, the reduction of maintenance costs, and the improvement of system…
View details →Negative / Null Result ReportOpen accessEngineering
E. Maartensson, N. Welch, M. Scarpari et al. · 2026 · Nuclear Fusion
Abstract ST-E1 is Tokamak Energy’s commercially competitive fusion power plant design featuring a lifetime high-temperature superconducting (HTS) magnet cage, which has completed its pre-concept design stage. A central challenge at the pre-concept stage is the need to iteratively and consistently integrate the development of the magnet cage, core plasma physics, and power-exhaust systems, while avoiding serial design loops and late discovery of infeasible operating scenarios. Accurate representation of inductive current drive is particularly critical, as it tightly couples magnetic equilibria,
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M. A. Huque, Leon M. Tolbert, Benjamin J. Blalock et al. · 2026 · IMAPSource Proceedings
High-temperature power conversion modules (DC-DC converters, inverters, etc.) have enormous potential in extreme environment applications, including automotive, aerospace, geothermal, nuclear, and well logging. Power-to-volume and…
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Hanxu Ma, Shunda Qiao, Ying He et al. · 2026 · Reports on Progress in Physics
Abstract This paper proposed an optical detection mechanism that utilized orthogonal phase modulation (OPM) and Lissajous mode decoupling within a light-induced thermoelastic spectroscopy (LITES) sensor for the first time, enabling…
View details →Negative / Null Result ReportOpen accessEngineering
Mohamed Abdellatief, Mohamed Mortagi · 2026 · Scientific Reports
Accurate prediction of the unconfined compressive strength (UCS) of geopolymer-stabilized clayey soil is critical for geotechnical engineering. Conventional regression algorithms and even advanced machine learning approaches such as artificial neural networks often struggle to fully capture the highly non-linear interactions among soil properties and geopolymer mix parameters while maintaining computational efficiency and interpretability on limited datasets. To address these challenges, this investigation proposes a novel hybrid predictive framework based on a sector fruit fly optimization al
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Bianca Menzani, Priscille De Gea, Xavier Gidrol et al. · 2026 · Lab on a Chip
models for studying human physiology, development and disease. Their potential is very important and they have broad applications, but their impact is currently limited by persistent challenges such as incomplete maturation, batch…
View details →Negative / Null Result ReportOpen accessEngineering
Yu‐Hui Zhang, Lu-Qiang Wei, Chen-Shuang Liu et al. · 2025 · ACS Omega
High Resolution Image Download MS PowerPoint Slide Pesticides are of great significance in ensuring food yield. However, the extensive use of pesticides has led to severe environmental pollution and significant economic losses.…
View details →Negative / Null Result ReportOpen accessEngineering
Justyna Kujawska, Wojciech Cel, B. Charmas et al. · 2026 · Energies
Biochar obtained from digestate is a promising material in the context of digestate management. However, it is important to note that the properties of the resulting material are largely dependent on the parameters of the pyrolysis process, with temperature being a particularly significant factor. The objective of this study was to evaluate the impacts of the digestate pyrolysis temperature on the chemical structure, thermal stability, and thermal decomposition characteristics of biochar produced at temperatures of 400, 500, 600, and 800 °C in an inert nitrogen atmosphere. Material characteriz
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Mingqi Wang, Yulin Ye, Ruqiang Yuan et al. · 2025 · Cancer Cell International
The limited clinical translation of preclinical anticancer drug efficacy underscores the urgent need for advanced models that faithfully replicate tumor pathophysiology. While three-dimensional (3D) tumor cultures improve the fidelity of…
View details →Negative / Null Result ReportOpen accessEngineering
Yasin Onuralp Özkılıç, Mohamed Abdikarin Mohamud, Fatih Yılmaz et al. · 2026 · Scientific Reports
This study investigates the mechanical performance of geopolymer concrete cured under various oven temperatures and ambient conditions, focusing on the interactions among curing regimes, alkaline activator molarities, and ground granulated…
View details →Negative / Null Result ReportOpen accessEngineering
Yufan Zhu, Huifan Liu, Zhiqiang Yang et al. · 2026 · Theranostics
Background: Excessive inflammation and exacerbated oxidative stress are significant hallmarks of the diabetic bone microenvironment, which give rise to dysregulated immune reactions and impaired bone homeostasis, thereby hindering bone defect healing and increasing the incidence of bone nonunion.Methods: A biodegradable photothermal hybrid (SC/MTZ) was developed through the in situ self-assembly of zeolitic imidazolate framework-8 (ZIF-8) nanoparticles on tannic acid (TA)-functionalized Ti3C2Tx MXene nanosheets, which were then integrated into a methacrylated silk fibroin/carboxymethyl chitosa
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Tuğba Özer, Sakda Jampasa, Atchara Lomae et al. · 2026 · Analytical Chemistry
High Resolution Image Download MS PowerPoint Slide Herein, we present a potentiometric biosensor based on amine magnetic beads functionalized with electrostatically neutral peptide nucleic acids (PNA) for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A screen-printed carbon electrode was modified with a plasticized polymeric membrane. A SARS-CoV-2 specific peptide nucleic acid probe was designed and synthesized. We exploited the advantage of neutral PNAs to remove the negatively charged DNA probes that cause fouling due to the attraction of positively charged b
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Rafael Cabral, Ricardo Santos, José A.F.O. Correia et al. · 2025 · Sensors
The automated inspection of civil infrastructure with Unmanned Aerial Vehicles (UAVs) is hampered by the challenge of accurately segmenting multi-damage in high-resolution imagery. While foundational models like the Segment Anything Model (SAM) offer data-efficient segmentation, their effectiveness is constrained by prompting strategies, especially for geometrically complex defects. This paper presents a comprehensive comparative analysis of deep learning strategies to identify an optimal deep learning pipeline for segmenting cracks, efflorescences, and exposed rebars. It systematically evalua
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J. Jithish, Nagarajan Mahalingam, Bo Wang et al. · 2025 · Cybersecurity
Abstract The forthcoming 6G technology offers significant potential for the advancement of the smart grid domain. 6G promises ultra-low latency, higher data transfer rates, native Artificial Intelligence (AI) support, enhanced connectivity, and improved security for smart grids. Smart grids are vulnerable to cyberattacks, such as Distributed Denial-of-Service (DDoS) attacks, posing a significant threat to grid functionality. To address security concerns, smart grids implement intrusion detection systems (IDS), but detecting novel attacks such as subtle multi-domain DDoS attacks through traditi
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