Search Results (133)

Fragmentation Resilience Energy Mass Spectrometry (FREMS) builds on the field of energy-resolved mass spectrometry and previously used methods, e.g., Survival Yield. It exploits breakdown energies at near “continuous” ramp (0.2% NCE increments) to offer higher resolution and a reliable method for compound differentiation, contaminant identification and structural elucidation. Implementation of FREMS involves acquiring ion breakdown/formation curves as collision energy is incrementally increased. These curves themselves can be analyzed by several means to give a single metric—Fragmentation Resilience (FR₅₀). This value has been shown to be experimentally interchangeable with the modified-Survival Yield (m-SY₅₀) and the Cross-Intersect (C-I). A full panel of testing on an LTQ-Orbitrap revealed that breakdown energies depend only on three controllable parameters—number of ions inside the ion trap, Maximum Inject time and Activation Time. A fairly linear relationship (R² > 0.95) with proposed FR₅₀, m-SY₅₀ and C-I metrics provides reliable adjustment mechanisms for these variables via calibrations. Consequently, this technique can be applied to ions produced by any atmospheric pressure ionization processes and treated as exclusively in vacuo experiments. Applications of FREMS to 4-chlorobenzylpyridinium ion revealed that under collisional activated dissociation (CAD) conditions, the rate of decomposition of precursor ion is equivalent to the rate of formation of its fragments, i.e., normalized breakdown and formation curves intersect at inflection points. Full article

This paper presents a low-cost, modular ankle–foot prosthesis that integrates an S-shaped compliant foot with a parallel spring–short-stroke actuator branch to balance energy return, impact attenuation, and rapid personalization. The design follows an FDM-oriented CAD/CAE workflow using PETG and interchangeable modules (foot, ankle unit, pylon adapter). Finite-element analyses of heel-strike, mid-stance, and toe-off load cases, supported by bench checks, show strain localization in intended flexural regions, a minimum safety factor of 15 for the housing, and peak-stress reduction after geometric refinements (increased transition radii and local ribs). The modular layout simplifies servicing and allows quick tuning of stiffness and damping without redesigning the load-bearing structure. The results indicate an engineeringly realistic path toward accessible prosthetics and provide a basis for subsequent upgrades toward semi-active control and sensor-assisted damping. Full article

The purpose of this article is to assess the impact of three major crises—the global economic and financial crisis of 2007–2009, the COVID-19 pandemic (2020), and the energy crisis induced by the war in Ukraine (2022)—on the condition of regional economies in Poland, both before and after their occurrence. These events, which may be regarded as black swan phenomena, were examined using several indicators of regional economic performance: the Herfindahl–Hirschman Index (HHI), the dynamics of Gross Domestic Product (GDP), industrial output sold, construction and assembly output, and retail sales. The study is based on Statistics Poland GUS data ranging from the first quarter of 2004 to the fourth quarter of 2024. The findings indicate that some Polish voivodeships (Since 1 May 2004, Poland has been divided into regions (NUTS I) and voivodeships (NUTS II). In this division, the region is statistical in nature, but in the presented research we refer exclusively to voivodeships, and therefore we also use the terms “region” and “NUTS II” interchangeably in this work. The interchangeable use of these terms also stems from the practice in Polish literature) (regions) experienced increases in industrial concentration over the study period. In 2009, during the global financial crisis, seven regions (Dolnośląskie, Lubuskie, Małopolskie, Mazowieckie, Opolskie, Podkarpackie, and Pomorskie) exhibited a relatively high degree of industrial diversification. Seven others (Kujawsko-Pomorskie, Lubelskie, Łódzkie, Śląskie, Świętokrzyskie, Wielkopolskie, and Zachodniopomorskie) showed moderate concentration. The two eastern regions—Warmińsko-Mazurskie (HHI = 194) and Podlaskie (HHI = 315)—had the highest concentration of industrial production in that year. By 2024, the overall pattern remained consistent: seven voivodeships displayed high concentration, eight moderate concentration, and one (Podlaskie) exceptionally high concentration. The degree of cyclical convergence across regions was generally high throughout the examined period. However, notable differences emerged under crisis conditions. Synchronization was strongest during the COVID-19 pandemic, when abrupt and unexpected shocks produced relatively similar regional responses. In contrast, the financial crisis of 2007–2009 and the energy crisis of 2022 generated more heterogeneous regional effects, resulting in lower and more varied levels of convergence. Full article

Peripheral nerve injuries, particularly those involving the sciatic nerve, remain a major clinical challenge due to incomplete functional recovery and the limited translation of preclinical advances into effective therapies. This review synthesizes current evidence on the phase-specific evaluation of sciatic nerve regeneration in preclinical models, integrating behavioral, sensory, electrophysiological, and morphological approaches across the acute, subacute (Wallerian degeneration), early regenerative, and late regenerative phases. By mapping functional readouts onto the underlying biological events of each phase, we highlight how tools such as the Sciatic Functional Index, Beam Walk test, Rotarod test, nerve conduction studies, and nociceptive assays provide complementary and often non-interchangeable information about motor, sensory, and neuromuscular recovery. We further examine emerging therapeutic strategies, including intraoperative electrical stimulation, immunomodulation, platelet-rich plasma, bioengineered scaffolds, conductive and piezoelectric conduits, exosome-based hydrogels, tacrolimus delivery systems, and small molecules, emphasizing the importance of aligning their mechanisms of action with the dynamic microenvironment of peripheral nerve repair. Despite substantial advancements in experimental models, an analysis of publication trends and registries reveals a persistent translational gap, with remarkably few clinical trials relative to the high volume of preclinical studies. To illustrate how mechanistic insights can be complemented by molecular-level characterization, we also present a targeted computational analysis of alpha-lipoic acid (ALA,) including frontier orbital energies, physicochemical descriptors, and docking interactions with IL-6, TGF-β, and a growth-factor receptor—performed solely for this molecule due to its documented structural availability and relevance. By presenting an integrated, phase-specific framework for functional assessment and therapeutic evaluation, this review underscores the need for standardized, biologically aligned methodologies to improve the rigor, comparability, and clinical relevance of future studies in sciatic nerve regeneration. Full article

Four benzyltrimethylammonium (BTMA) salts were successfully prepared: bis(benzyltrimethylammonium) hexachloroplatinate (1), benzyltrimethylammonium tetrachloroaurate (2), bis(benzyltrimethylammonium) tetrachlorocuprate (3), and bis(benzyltrimethylammonium) tetrabromocuprate (4) from benzyltrimethylammonium hydroxide (Triton B). Their crystal structures were determined by single-crystal X-ray diffraction, and the supramolecular architectures were characterized hierarchically. Extended Hirshfeld surface analysis, including enrichment ratio calculations, was performed to evaluate intermolecular interactions. Nonclassical hydrogen bonds, such as C–H^…Cl(Br), involving the anions, contribute to the formation of self-assembled architectures. Additional stabilization arises from π^…π and Cu–Br^…π interactions, particularly in crystals 2 and 4, respectively. Hirshfeld surface analysis showed that H^…H and C^…H/H^…C interactions are the dominant contributors in all crystals. According to enrichment ratio calculations, C^…H/H^…C interactions in 1, 3, and 4; Cl^…H/H^…Cl in 1 and 3; Cu^…H/H^…Cu in 3 and 4; and Br^…H/H^…Br and Br^…C/C^…Br in 4 are statistically favored in the crystal packing. Halogen bonding Cl^…Cl was observed in 1 but does not significantly influence packing. Energy framework calculations indicated that dispersive interactions are favorable in the analyzed crystals. A library of H-bonding supramolecular patterns, including interchangeable synthons, is provided and may guide the rational design of new derivatives with controllable features. Finally, the topology of intermolecular connections and the electronic structure of the benzyltrimethylammonium cation, investigated by quantum-chemical calculations, provide insights into its reactivity. Full article

In new wireless ecosystems, simultaneous wireless information and power transfer (SWIPT) and cooperative non-orthogonal multiple access (CNOMA) together make a potential design model. These systems enhance spectral efficiency (SE), energy efficiency (EE), and data interchange reliability by combining energy harvesting (EH), superposition coding (SC), and relay-assisted transmission. Despite this, CNOMA’s energy efficiency is still constrained by the fact that relay nodes servicing multiple users require a significant amount of power. Most previous studies look at performance as if imperfect successive interference cancellation (SIC) were possible. To solve these problems, this study presents a multiuser SWIPT-enabled cooperative wavelet NOMA (CWNOMA) framework that reduces imperfect SIC, inter-symbol interference (ISI), and inter-user interference. SWIPT-CWNOMA enhances overall energy efficiency (EE), keeps relays functional, and maintains data transmission strong for users by obtaining energy from received signals. The proposed architecture is evaluated against traditional CNOMA and orthogonal multiple access (OMA) in both perfect and imperfect scenarios with SIC. The authors derive closed-form formulas for EE, signal-to-interference-plus-noise ratio (SINR), and achievable rate to support the analysis. Residual error because of imperfect SIC for near users shows lower values in a varying range of SNR. Across 0–30 dB SNR, SWIPT-CWNOMA achieves, on average, $1.4$ times higher energy efficiency, approximately $4.7$ lower BER, and $1.9$ times higher achievable rate than OFDMA, which establishes SWIPT-CWNOMA as a promising candidate for next-generation energy-efficient wireless networks. Full article

Magnetic confinement nuclear fusion offers a promising solution to the world’s growing energy demands. The DEMO reactor presented here aims to bridge the gap between laboratory fusion experiments and practical electricity generation, posing unique challenges for magnetic plasma diagnostics due to limited space for diagnostic equipment. This study employs Bayesian inference and Gaussian process modeling to integrate data from pick-up coils, flux loops, and saddle coils, enabling a qualitative estimation of the plasma current density distribution relying on only external magnetic measurements. The methodology successfully infers total plasma current, plasma centroid position, and six plasma–wall gap positions, while adhering to DEMO’s stringent accuracy standards. Additionally, the interchangeability between normal pick-up coils and saddle coils was assessed, revealing a clear preference for saddle coils. Initial steps were taken to utilize Bayesian experimental design for optimizing the orientation (normal or tangential) of pick-up coils within DEMO’s design constraints to improve the diagnostic setup’s inference precision. Our approach indicates the feasibility of Bayesian integrated data analysis in achieving precise and accurate probability distributions of plasma parameter crucial for the successful operation of DEMO. Full article

One key aspect of the Global Goal on Adaptation is to examine transformational adaptation at different scales and sectors. While there are several adaptation assessment frameworks in the energy sector, there is still room for further development to properly capture and quantify the adaptability of energy infrastructure against climate change. Therefore, this study aims to define a definition for the adaptability of resilient energy infrastructure and develop the adaptive resilience curve to quantify it. The study hypothesized and confirmed definition boundaries for the resilience, adaptation, and adaptability of resilient energy infrastructure and an adaptive resilience curve. Definitions of resilience and adaptation are often interchangeably used, yet differences were found. Common keywords extracted from definitions of resilience and adaptation were utilized to define the adaptability of resilient energy infrastructure. The adaptive resilience curve was formulated, borrowing attributes from concepts contributing to adaptability, including global catastrophic risk, beyond design basis accident, and foresight. The definition for the adaptability of resilient energy infrastructure sets a common ground for the understanding of the concept, on which the adaptive resilience curve is developed to facilitate its visualization and quantification. The adaptive resilience curve can capture temporal change in the adaptability of resilient energy infrastructure under multiple scenarios using multiple figures-of-merit. Full article

Irradiation with ultraviolet light-emitting diodes (UV-LEDs) represents a promising method for viral inactivation, but a detailed understanding of the wavelength-dependent action spectra remains limited, particularly across different viral components. In this study, we established standardized UV action spectra for infectivity reduction in pathogenic viruses using a system equipped with interchangeable LEDs at 13 different peak wavelengths (250–365 nm). The reduction in viral infectivity induced by UV-LED exposure was strongly related to viral genome damage, whereas no significant degradation of viral structural proteins was detected. Peak virucidal efficiency was observed at 267–270 nm across all tested viruses, representing a slight shift from the traditionally expected 260 nm nucleic acid absorption peak. Enveloped RNA viruses, including influenza A virus, respiratory syncytial virus, and coronavirus, exhibited greater UV sensitivity than nonenveloped viruses such as feline calicivirus and adenovirus. These observations indicate that structural characteristics, such as the presence of an envelope and genome organization, influence UV susceptibility. The wavelength-specific action spectra established in this study provide critical data for optimizing UV-LED disinfection systems to achieve efficient viral inactivation while minimizing energy consumption in healthcare, food safety, and environmental sanitation. Full article

The interchanging energy systems are vital, as fossil fuel, on the other hand, is running out of time as its resources are facing scarcity and continue to endanger human life by having a huge contribution to climate change. The solar power still faces the challenge of not being easily sustainable after implementation, but promising investment soon. This study aims to investigate the possibilities of switching from fossil fuel to solar PV in the region of KwaZulu Natal. The study compares regression results of solar power in different categories to elaborate on the solar power performance. It further predicts solar power performance using a multiple regression method. The adopted multiple regression also revealed the high possibility of solar power performance of 0.75 r²-value with a tolerable error of 0.25. All challenges facing solar power are investigated using historical data. However, more work still needs to be done to investigate the potential growth of solar power in the region. Full article

Weeds cause significant yield and economic losses by competing with crops and increasing production costs. Compounding these challenges are labor shortages, herbicide resistance, and environmental pollution, making weed management increasingly difficult. In response, precision weed control (PWC) technologies, such as robots and unmanned aerial vehicles (UAVs), have emerged as innovative solutions. These tools offer farmers high precision (±1 cm spatial accuracy), enabling efficient and sustainable weed management. Herbicide spraying robots, mechanical weeding robots, and laser-based weeders are deployed on large-scale farms in developed countries. Similarly, UAVs are gaining popularity in many countries, particularly in Asia, for weed monitoring and herbicide application. Despite advancements in robotic and UAV weed control, their large-scale adoption remains limited. The reasons for this slow uptake and the barriers to widespread implementation are not fully understood. To address this knowledge gap, our review analyzes 155 articles and provides a comprehensive understanding of PWC challenges and needed interventions for scaling. This review revealed that AI-driven weed mapping in robots and UAVs struggles with data (quality, diversity, bias) and technical (computation, deployment, cost) barriers. Improved data (collection, processing, synthesis, bias mitigation) and efficient, affordable technology (edge/hybrid computing, lightweight algorithms, centralized computing resources, energy-efficient hardware) are required to improve AI-driven weed mapping adoption. Specifically, robotic weed control adoption is hindered by challenges in weed recognition, navigation complexity, limited battery life, data management (connectivity), fragmented farms, high costs, and limited digital literacy. Scaling requires advancements in weed detection and energy efficiency, development of affordable robots with shared service models, enhanced farmer training, improved rural connectivity, and precise engineering solutions. Similarly, UAV adoption in agriculture faces hurdles such as regulations (permits), limited payload and battery life, weather dependency, spray drift, sensor accuracy, lack of skilled operators, high initial and operational costs, and absence of standardized protocol. Scaling requires financing (subsidies, loans), favorable regulations (streamlined permits, online training), infrastructure development (service providers, hiring centers), technological innovation (interchangeable sensors, multipurpose UAVs), and capacity building (farmer training programs, awareness initiatives). Full article

Under the framework of classical electrodynamics, this article investigates the nonlinear Thomson scattering generated by the cross-collision between a tightly focused linearly polarized Gaussian laser pulse and a relativistic electron through numerical simulation and emulation. The oscillation direction and emission angle of the electron’s trajectory are influenced by the beam waist radius and the delay time. The spatial radiation distribution of electrons exhibits a comet-shaped pattern, with the radiation being concentrated in the forward position. This is attributed to the high laser intensity at the focus, resulting in intense electron motion. As the beam waist radius keeps increasing continuously, the maximum radiation polar angle in the spatial distribution decreases. The time spectrum exhibits a symmetrical three-peak structure, with a high secondary peak. Meanwhile, the supercontinuum spectrum gradually transforms into a multi-peak distribution spectrum. In the multi-peak mode, the main peak and the secondary peak will interchange during the increase in the waist radius, generating rays with higher frequencies and energies. The aforementioned research findings reveal a portion of the mechanism of the nonlinear Thomson scattering theory and are beneficial for generating X-rays of higher quality. Full article

Within the framework of the SOCIETAL CHALLENGES—Secure, Clean, and Efficient Energy objective under the European Horizon 2020 research and innovation funding program, the SO-FREE project has developed a future-ready solid oxide fuel cell (SOFC) system with high-efficiency heat recovery. The system concept prioritizes low emissions, fuel flexibility, modular power production, and efficient thermal management. A key design feature is the interchangeability of two different SOFC stack types, allowing for operation under different temperature conditions. The system was developed with a strong emphasis on simplicity, minimizing the number of components to reduce overall plant costs while maintaining high performance. This paper presents the simulation results of the proposed flexible SOFC system, conducted using Aspen Plus^® software version 11 to establish a baseline architecture for real plant development. The simulated layout consists of an autothermal reformer (ATR), a high-temperature blower, an SOFC stack, a burner, and a heat recovery system incorporating four heat exchangers. Simulations were performed for two different anodic inlet temperatures (600 °C and 700 °C) and three fuel compositions (100% CH₄, 100% H₂, and 50% H₂ + 50% CH₄), resulting in six distinct operating scenarios. The results demonstrate a system utilization factor (UF_F) exceeding 90%, electrical efficiency ranging from 60% to 77%, and an effective heat recovery rate above 60%. These findings were instrumental in the development of the Piping and Instrumentation Diagram (P&ID) required for the design and implementation of the real system. The proposed SOFC system represents a cost-effective and adaptable energy conversion solution, contributing to the advancement of high-efficiency and low-emission power generation technologies. Full article

In this work, we provide results from a joint experimental and theoretical study of the vibronic features of cyclohexane (C₆H₁₂) in the photon energy range of 6.8–10.8 eV (182–115 nm). The high-resolution vacuum ultraviolet (VUV) photoabsorption measurements, together with quantum chemical calculations at the time-dependent density functional theory (TDDFT) level, have helped to assign the major electronic excitations to mixed valence–Rydberg and Rydberg transitions. The C₆H₁₂ photoabsorption spectrum shows fine structure which has been assigned to CH₂ scissoring, $v_3^{\prime }\left(a_{1g}\right)$, CH₂ rocking, $v_4^{\prime }\left(a_{1g}\right)$, C–C stretching, $v_5^{\prime }\left(a_{1g}\right)$, and CCC bending/CC torsion, $v_{24}^{\prime }\left(e_g\right),$ modes. Molecular structure calculations at the DFT level for the neutral and cationic electronic ground-states have shown the relevant structural changes that are operative in the higher-lying electronic states. Photolysis lifetimes in the Earth’s atmosphere are shown to be irrelevant, while the main atmospheric sink mechanism is the reaction with the ^•OH radical. Potential energy curves have been obtained at the TDDFT level of theory, showing the relevance of interchange character mainly involving the CH₂ scissoring, $v_3^{\prime }\left(a_{1g}\right),$ and CH₂ rocking, $v_4^{\prime }\left(a_{1g}\right),$ modes, while Jahn–Teller distortion yields weak vibronic coupling involving the non-totally symmetric CCC bending/CC torsion, $v_{24}^{\prime }\left(e_g\right),$ mode. Full article

Drying sand using a fluidized bed process is very common in the industries that use the material in their processes. The fluidized bed system works by introducing gas and excess air into a bed to achieve the temperature required to dry the particulate material. This system is used in various industrial processes, including gasification, pyrolysis, grain drying and industrial sand. The main objective of this research was to analyze the sand drying system used in an industrial process with a fluidized bed and to verify the interchangeability and costs between natural gas and biomethane operation. To achieve this, an energy balance was developed using a specific mathematical model to calculate the amount of fuel required for the process as a function of the excess air. The specific consumption of fuel gas (m³ of gas per t of dry sand) is the most important parameter for the performance of the sand drying equipment, and the mathematical model developed in this research was used to determine this parameter. It was found that the specific consumption drops significantly until the flue gas temperature reaches around 600 °C. Beyond this point, it continues to decrease, but at a much slower rate. To determine the energy balance, this study was divided into two parts: the combustion chamber and the fluidizer itself. In the combustion chamber, the temperature of the injected gases was determined as a parameter, and sand with a known initial moisture content was considered in the fluidizer. In comparison with real industrial data collected from a company consuming natural gas, the model achieved good agreement. In terms of interchangeability between operations with natural gas and biomethane, the results show that the gases are interchangeable in sand drying, although there is a difference between the Wobbe indices of more than the usually recommended 5%. Full article