bluuebunny/crossref_metadata_2025 huggingface dataset:
Computational Fluid Dynamic Modeling of Pack-Level Battery Thermal Management Systems in Electric Vehicles
Authors: Chen Yifan , Hu Zhong
Published: January 2025

In electric vehicles (EVs), the batteries are arranged in the battery pack (BP), which has a small layout space and difficulty in dissipating heat. Therefore, in EVs, the battery thermal management systems (BTMSs) are critical to managing heat to ensure safety and performance, particularly under higher operating temperatures and longer discharge conditions. To solve this problem, in this article, the thermal analysis models of a 3-battery-cell BP were created, including scenarios (1) natural air cooling without a BTMS; (2) natural air cooling with water cooling hybrid BTMS; and (3) forced air cooling plus water cooling composite BTMS. The thermal performances of the pack-level BPs were simulated and analyzed based on computational fluid dynamics (CFD). A variety of boundary conditions and working parameters, such as ambient temperature, inlet coolant flow rate and initial temperature, discharge rate, air flow rate, and initial temperature, were considered. The results show that without a BTMS (Scenario 1), the maximum temperature in the BP rises rapidly and continuously to reach 63.8 °C, much higher than the upper bound of the recommended operating temperature range (ROTR between +20 °C to +35 °C) under the extreme discharge rate of 3 C and even if the discharge rate is 2 C. With a hybrid BTMS (Scenario 2), the maximum temperature in BP rises to about 38.7 °C, slightly above the upper bound of the ROTR. Lowering the coolant (water) initial temperature can effectively lower the temperature up to 5.7 °C in BP, but the water flow rate cannot since the turbulence model. While with a composite BTMS (Scenario 3), the temperature can be further lowered up to 1.5 °C under the extreme discharge rate of 3C, just reaching the upper bound of the ROTR. In addition, lowering the initial coolant temperature or air temperature can effectively decrease the temperatures up to 5.1 and 1.0 °C, respectively, in BP, but the coolant flow rate (due to the turbulence model) and the air flow rate cannot. Finally, the thermal performances of the different battery cells in the BP with different cooling systems and at the different positions of the BP were compared and analyzed. The present work may contribute to the design of BTMSs in the EV industry.
A Note on the Johnson–Mehl–Avrami–Kolmogorov Kinetic Model: An Attempt Aiming to Introduce Time Non-Locality
Authors: Hristov Jordan
Published: January 2025

This note aims for a non-local extension of the Johnson–Mehl–Avrami–Kolmogorov (JMAK) kinetic equation, describing solid phase transformation through the implementation of the time-fractional Caputo derivative and Mittag-Leffler function instead of the exponential Avrami kinetics. These are preliminary results that include tests on some published data and a clarification of the concept.
Environmental Impact of Human Activities in Marine-Coastal Area: Underwater Wine Cellar as Case Study (Tuscany, Cetacean Sanctuary)
Authors: Anselmi Serena , Provenza Francesca , Carusi Giacomo , Menichetti Stefano , Renzi Monia
Published: January 2025

A new production activity developing in coastal areas and located in the MPAs are sub-cellars for wine ageing, which combine the results of wine refinement with beautiful bottles decorated with organic concretions. Assessing the associated environmental risks is crucial as wine is a complex mixture of chemical substances that are toxic to marine species if released into the environment. We have assessed the risks associated with the granting of a license to store 2000 bottles in a sunken wine cellar in the Whale Sanctuary (Tuscany). Local risks that could influence the occurrence of offences were assessed to calculate the potential dose of wine released from the cellar. Furthermore, based on the ecotoxicological approach, the effect thresholds (ECx, NOEC, LOEC) were quantified for species from different trophic levels to define the tolerance of the marine ecosystem using the PNEC approach. The results showed that wines with different physicochemical properties developed differently during maturation (0–8 months) and exhibited different ecotoxicity. This led to different PNEC values and, consequently, to different risks of bottle breakage. The main suggestion of our results is that the release of licenses should be based on a case-by-case risk assessment that focuses on both the environmental characteristics of the ecosystem that maintains the cellar and the chemical properties of the wines stored in glass bottles.
Citrinin-Induced Cellular Damage: Insights from SH-SY5Y Cell Line Studies
Authors: Martí-Quijal Francisco J. , Franco-Campos Felipe , Barba Francisco J. , Ruiz María-José
Published: January 2025

Citrinin (CIT), a mycotoxin commonly found in cereals, is produced by fungi from the Aspergillus, Penicillium, and Monascus genera. While its nephrotoxic effects are well studied, its impact on neurons is less understood. This study investigates CIT-induced toxicity in human neuroblastoma cells (SH-SY5Y). The IC50 values for cells treated with CIT were 77.1 μM at 24 h and 74.7 μM at 48 h using MTT assay, and 101.0 μM at 24 h and 54.7 μM at 48 h using neutral red assay. CIT exposure caused G2/M phase arrest, with cells in this phase increasing from 11.83% (control) to 33.10% at 50 μM CIT. At 50 μM, the percentage of cells in the S phase also increased, which may suggest that cellular stress pathways were activated. Moreover, an increase in late apoptosis process was noted in cells exposed to CIT for 24 h, particularly at the highest concentrations (38.75 and 50 µM). Western blot analysis confirmed a rapid change in the anti-apoptotic protein Bcl-2, but no significant changes in Bax. In conclusion, CIT induces apoptosis and cell cycle arrest in SH-SY5Y cells. However, further transcriptomic studies in specific proteins involved in different pathways described in this work are needed to gain a comprehensive understanding of the specific mechanisms underlying CIT’s toxicity in SH-SY5Y cells.
Facile Synthesis of Bioactive Silver Nanocomposite Hydrogels with Electro-Conductive and Wound-Healing Properties
Authors: Solaiman  , Foyez Tahmina , Monim Syed Abdul , Rahman Aminur , Imran Abu Bin
Published: January 2025

Bioactive metal and metal oxide-based nanocomposite hydrogels exhibit significant antibacterial properties by interacting with microbial DNA and preventing bacterial replication. They offer potential applications as coating materials for human or animal skin injuries to prevent microbial growth and promote healing. In this study, silver nanoparticles (AgNPs) were synthesized using a chemical reduction method and incorporated into a polymer network to fabricate silver nanocomposite hydrogels (AgNCHGs) through a simple free radical polymerization method. N-isopropylacrylamide (NIPA), which has lower critical solution temperature (LCST) at about body temperature, or acrylamide (AAm) was used as the main monomer, while one or more ionic co-monomers, such as acrylic acid (AAc) and 2-acrylamido-2-methylpropane sulfonic acid (AMPS), were incorporated to obtain AgNCHGs. AgNPs were introduced into the hydrogel network via three different approaches. In the first method, the synthesized hydrogel was immersed in a silver nitrate (AgNO3) solution and reduced in situ using sodium borohydride (NaBH4) as a reducing agent. The second method involved mixing AgNO3 with gel precursors before reduction with NaBH4 to form AgNPs within the hydrogel. The final approach synthesized the AgNCHGs directly in a dispersion of pre-fabricated AgNPs. The incorporation of AgNPs in different AgNCHGs was confirmed through various characterization techniques. Varying temperature and pH conditions can trigger the release of bioactive AgNPs from the hydrogels. Furthermore, the antimicrobial and wound-healing properties of the AgNCHGs were evaluated against bacteria and fungi, demonstrating their potential in biomedical applications. In addition, AgNCHGs exhibit excellent electrical conductivity. The electrical conductivity of the hydrogels can be finely tuned by adjusting the concentration of AgNPs, making these materials promising candidates for energy, sensor, and stretchable electronics applications. This study presents facile synthesis methods of AgNCHGs, which integrate bioactivity, wound healing, and electrical conductivity in the same matrix, addressing a significant challenge in designing multifunctional hydrogels for next-generation technologies.
Analysis and Strategies to Improve Living Conditions of Elderly Living Alone in China: A Healthcare Context
Authors: Zhang Zehao , Di Hongxi
Published: January 2025

Background: The shift toward nuclear family structures in China has resulted in a growing number of elderly individuals living alone, intensifying the imbalance between the supply and demand of elderly care services. Objectives: This study aims to systematically examine the care needs of elderly individuals living alone in China and propose practical strategies to enhance their quality of life. Methods: Using the Kano model and ERG theory, 22 care services were categorized into three types: essential (must-have), attractive, and future-focused (outlook) elements. Survey data were gathered from 230 elderly individuals living alone in Yan’an, Baoji, and Hanzhong, located in Shaanxi Province. To determine the factors influencing the intensity of demand for these services, multivariate ordinal logistic regression analysis was applied. Results: The findings show that demand intensity for care services is significantly shaped by factors such as gender, age, marital status, education level, income, self-rated health, loneliness, and family support. The highest demand was observed for medical and mental health services, followed by life support services. Conclusions: To address the gaps in elderly care services, this study suggests standardizing institutional frameworks, diversifying service options, utilizing familial support networks, and integrating intelligent technologies. These measures are especially critical for reducing service disparities in rural and less developed regions, contributing to a fairer and more effective elderly care system in China.
A Previously Unknown Building Structure in Ancient Olympia (Western Peloponnese, Greece) Revealed by Geoarchaeological Investigations and Its Interpretation as a Possible Harbor
Authors: Slabon Lena , Bäumler Sarah , Appel Elena , Fiedler Sabine , Fischer Peter , Obrocki Lea , Pantelidis Georg , Scherer Sascha , Thein Benedict , Willershäuser Timo , Eder Birgitta , Gehrke Hans-Joachim , Lang Franziska , Kolia Erofili-Iris , Pilz Oliver , Wilken Dennis , Vött Andreas
Published: January 2025

The ancient site of Olympia is located on the northern fringe of the Basin of Makrisia at the confluence of the Kladeos and Alpheios rivers (western Peloponnese, Greece) and was used as a venue for the Panhellenic Games from Archaic times until the 4th century AD. Geophysical prospection (frequency domain electromagnetic induction and electrical resistivity tomography) was carried out as a basis for detailed geoarchaeological investigations. In doing so, we identified a previously unknown building structure adjacent to the Altis, the inner part of the sanctuary at Olympia. Situated south of the Southwest Thermae, this structure measures at least 100 m (WSW-ENE) by 80 m (NNW-SSE). Its external orientation is in line with the orientation of the Southwest Thermae and the Leonidaion. We retrieved sediment cores from 17 different locations in combination with high-resolution direct push sensing from inside the newly found structure. All cores revealed distinct units of organic-rich limnic sediments dominated by clay and fine silt. Geochemical and micropaleontological analyses of selected sediment samples indicate highly eutrophic conditions, as evidenced by elevated phosphorous concentrations and the dominance of the ostracod species Cyprideis torosa, which is able to live under low-oxygen conditions. Moreover, molecular biomarker analyses show a significant input of lipid fecal markers, implying strong anthropogenic pollution. Further, the limnic sediments include numerous charcoal remains and abundant diagnostic artifacts such as ceramic fragments and building material. Radiocarbon dating documents that these limnic conditions persisted within the building structure from at least the 5th century BC to the 6th century AD. The identified building structure lies in the immediate proximity to the Lake of Olympia, which was recently found to have existed from the mid-Holocene to the Medieval period. Its characteristic filling with fine-grained sediments and multiple indications for a strongly polluted and heavily used standing water environment let us hypothesize that it was possibly used as a harbor installation. A harbor at ancient Olympia could have been used to reach the sanctuary by boat and to transport goods of all kinds.
Response of Tomato Quality Parameters to Water Deficit Under Soil Salinity and Simulation Based on Stem Water Potential
Authors: Zhang Xianbo , Li Huanhuan , Liu Hao , Wang Jinglei , Qiang Xiaoman
Published: January 2025

Soil salinity and water deficit are important challenges for sustainable agricultural development in arid and semi-arid regions. While soil salinity and water deficits may result in lower crop yields, they may improve crop quality. The quantitative relationship between water–salt stress, crop yield, and quality is key to achieving stable yield and enhanced quality through the coordinated regulation of soil water and salt. The interaction between soil salinity and deficit irrigation on tomato quality needs to be further understood, and the model simulating the response of tomato quality to deficit irrigation under simulated soil salinity needs to be further optimized. In this study, a two-year experiment was conducted in northwest China consisting of combinations of three soil salinity levels (0 g, 3 g, and 5 g mixed salt added to 1000 g air-dried soil, respectively) and four water regimes relative to the field capacity (θf) (W0, W1, W2, and W3 refer to 95% θf, 80% θf, 70% θf, and 60% θf as the upper limit of soil water content, respectively). The responses of plant stem water potential (φ), fruit osmotic potential (φπ), fruit Na+ content, fruit fresh weight, fruit water content, total soluble solids (TSS), lycopene (Ly), soluble sugars content (SSC), and color index (CI) to the degree of water deficit and the stage of water deficit were analyzed under soil salinity. The results show that both soil salinity and water deficit significantly reduced φ, but there is no significant interaction. TSS, SSC, and CI are all significantly affected by soil salinity, degree of water deficit, and stage of water deficit, and there is a significant interaction between the degree of water deficit and soil salinity. Fruit fresh weight, TSS, Ly, SSC, and CI are all strongly correlated with φ, and the straight lines of regression of each index with φ are significantly affected by soil salinity content. Soil salinity significantly increased the Na+ content in the fruit, and water deficit significantly enhanced the effect of soil salinity on the Na+ content of tomato fruit. A functional model to simulate fruit quality was developed based on the response of fruit quality parameters to φ and the effect of fruit Na+ accumulation under the compound effect of soil salinity and water deficit. The validation results of the model show that this function model effectively simulates tomato fruit quality under the combined effects of soil salinity and water deficit, providing a theoretical basis for soil water–salt management in arid and semi-arid regions.
Effect of Hot Air-Drying Technique on the Quality and Stability of Blood Orange Slices in Modified Atmosphere Packaging
Authors: Roppolo Pasquale , Culmone Alessandra , Passafiume Roberta , Pirrone Antonino , Tinebra Ilenia , Gugino Ignazio , Monte Morgana , Naselli Vincenzo , Francesca Nicola , Gaglio Raimondo , De Pasquale Claudio , Todaro Aldo , Farina Vittorio
Published: January 2025

The choice of time/temperature combination is critical for ensuring microbiological stability and retaining the characteristic taste of dried blood orange slices. The aim of this study was to investigate the capability of hot air-drying technique to maintain the quality characteristic of dried blood orange slices stored in modified atmosphere packaging (MAP). Hot air-drying at 70 °C for 12 h preserved shrinkage without altering the longitudinal diameter, though thickness was significantly reduced, especially in samples with passive MAP. Increased hardness and masticability were noted due to water removal, with active MAP maintaining high hardness and colour integrity up to 100 days of storage (D100). Sensory analysis revealed differences in colour intensity and flavour between active and passive MAP-stored slices. Headspace solid-phase microextraction (HS-SPME) chromatography identified key chemical compounds contributing to aroma and flavour, highlighting the complex interplay between temperature, storage conditions, and volatile organic compounds production. The study demonstrates that drying combined with MAP storage enhances organoleptic qualities and nutritional value, offering a method to produce a healthy, tasty, and visually appealing snack.
The Dynamic Changes in Volatile Compounds During Wuyi Rock Tea (WRT) Processing: More than a Contribution to Aroma Quality
Authors: Zhou Zi-Wei , Wu Qing-Yang , Wu Yang , Deng Ting-Ting , Chen Xiao-Hui , Xiao Shu-Ting , Zhang Chen-Xin , Sun Yun , Zheng Shi-Zhong
Published: January 2025

Wuyi Rock tea (WRT), originating from the northern region of Fujian province, has a good reputation for its distinctive Yan flavor and floral–fruity aroma. The aroma quality, an essential element of the Yan flavor, undergoes various changes during the manufacturing process of WRT. To enhance the understanding of the formation patterns of WRT aroma and its influence on the flavor quality of WRT, we utilized both manufactured WRT (Rougui tea) and primary tea as materials. Utilizing a sensory evaluation, detection of volatile compounds, and multivariate statistical analysis, we identified and characterized the distinctive volatile components present in WRT. The sensory evaluation and radar chart analysis revealed that the primary tea exhibited a strong and lasting aroma, along with a mellow taste and a prominent Yan flavor. Through gas chromatography time-of-flight mass spectrometry (GC-TOF MS), a total of 251 volatile compounds were identified. The odor activity value (OAV) was calculated to identify key aroma-active compounds in the primary tea. The results indicated that a total of 14 compounds had an OAV greater than 1.0, including (2-nitroethyl) benzene, indole, and geranylacetone. These compounds exhibited floral and fruity aroma attributes. They primarily formed and accumulated during the latter stages of WRT. Using a partial least squares discrimination analysis (PLS-DA) combined with a variable importance in projection (VIP) score greater than 1.0 as a criterion, a total of 89 compounds were identified. Furthermore, out of the selected compounds, 15 types, including geraniol, 1-nonanol, and 1-butyl-2-ethyl-cyclopropene, were found to exclusively exist during the enzymatic manufacturing stages, particularly during the intermediate and later phases of the turn-over process (the last-three-times turn-over treatments), exhibiting predominantly floral and sweet fragrances. In contrast, during the non-enzymatic stages, only four compounds, such as pentanoic acid and phenylmethyl ester, were detected, exhibiting a fruity aroma profile. These volatile compounds significantly influenced the quality attributes of the final tea product, resulting in strong and lasting characteristics, particularly marked by a pronounced floral and fruity aroma. This study revealed how the aroma quality in WRT is developed and pinpointed possible volatile compounds that react to post-harvest treatments, thereby offering valuable insights relating to the intelligent production strategies of WRT.
Influence of Functional Variations in Genes of Neurotrophins and Neurotransmitter Systems on the Development of Retinopathy of Prematurity
Authors: Fevereiro-Martins Mariza , Santos Ana Carolina , Marques-Neves Carlos , Guimarães Hercília , Bicho Manuel ,   on behalf of the GenE-ROP Study Group
Published: January 2025

Retinal neurodevelopment, vascularization, homeostasis, and stress response are influenced by factors such as nerve growth factor (NGF), brain-derived neurotrophic factor (BDNF), tyrosine hydroxylase (TH), and erythropoietin (EPO). As retinopathy of prematurity (ROP) is a neurovascular retinal disease, this study analyzed the contributions of NGF (rs6330), BDNF (rs7934165), TH (rs10770141), and EPO (rs507392) genetic functional polymorphisms to the modulation of hematological and biochemical parameters of the first week of life and their association with ROP development. A multicenter cohort of 396 preterm infants (gestational age < 32 weeks or birth weight < 1500 g) was genotyped using MicroChip DNA and iPlex MassARRAY® platform. Multivariate regression followed univariate assessment of ROP risk factors. NGF (GG) genotype was associated with a higher ROP risk (OR = 1.79), which increased further (OR = 2.38) when epistatic interactions with TH (allele C) and BDNF (allele G) were present. Significant circulating biomarker differences, including bilirubin, erythrocytes, monocytes, neutrophils, lymphocytes, and platelet markers, were found between ROP and non-ROP groups, with variations depending on the polymorphism. These findings suggest that NGF (rs6330) and its interactions with related genes contribute to ROP risk, providing valuable insights into the genetic and biological mechanisms underlying the disease and identifying potential predictive biomarkers.
Genetic Prοpensity for Different Aspects of Dementia Pathology and Cognitive Decline in a Community Elderly Population
Authors: Sampatakakis Stefanos N. , Mourtzi Niki , Hatzimanolis Alex , Koutsis Georgios , Charisis Sokratis , Gkelmpesi Iliana , Mamalaki Eirini , Ntanasi Eva , Ramirez Alfredo , Yannakoulia Mary , Kosmidis Mary H. , Dardiotis Efthimios , Hadjigeorgiou Georgios , Sakka Paraskevi , Scarmeas Nikolaos
Published: January 2025

In the present study, we investigated the association of genetic predisposition with specific dimensions of dementia pathophysiology for global and domain-specific cognitive decline in older adults. The sample was drawn from the Hellenic Longitudinal Investigation of Aging and Diet (HELIAD) study, comprising 512 cognitively normal individuals over 64 years of age, with a mean follow-up of 2.9 years. Cognitive function was evaluated through a neuropsychological test battery, while genetic predisposition was assessed based on two distinct Polygenic Risk Scores (PRS) for amyloid-beta 42 (Aβ42) and white matter hyperintensities (WMH). The association of each PRS with the cognitive decline rate was examined using generalized estimating equation models. In the whole sample, higher PRSs Aβ42 (β = −0.042) and WMH (β =−0.029) were associated with a higher rate of global cognitive decline per year, an association which remained significant in age, sex, and education subgroups. Moreover, higher PRSs Aβ42 and WMH were related to significant memory decline only in females, older, and highly educated participants. Thus, while the association of both PRSs with global cognitive decline over time was independent of age, sex, or education, the relationship of the specific PRSs with the memory decline rate appeared to vary depending on these factors.
Real-Time Analysis of Industrial Data Using the Unsupervised Hierarchical Density-Based Spatial Clustering of Applications with Noise Method in Monitoring the Welding Process in a Robotic Cell
Authors: Blachowicz Tomasz , Wylezek Jacek , Sokol Zbigniew , Bondel Marcin
Published: January 2025

The application of modern machine learning methods in industrial settings is a relatively new challenge and remains in the early stages of development. Current computational power enables the processing of vast numbers of production parameters in real time. This article presents a practical analysis of the welding process in a robotic cell using the unsupervised HDBSCAN machine learning algorithm, highlighting its advantages over the classical k-means algorithm. This paper also addresses the problem of predicting and monitoring undesirable situations and proposes the use of the real-time graphical representation of noisy data as a particularly effective solution for managing such issues.
Targeted Complement Treatments in Glomerulopathies: A Comprehensive Review
Authors: Gentile Micaela , Manenti Lucio
Published: January 2025

The complement system includes soluble and cell surface proteins and is an important arm of the innate immune system. Once activated, the complement system rapidly generates proteins with inflammatory and vasoactive activities. Although complement is crucial to host defense and homeostasis, its inappropriate or uncontrolled activation can also drive tissue injury. Glomerulopathy encompasses a spectrum of diseases with diverse etiologies, clinical presentations, and outcomes. Among the intricate web of factors contributing to glomerulopathies pathogenesis, the role of complement activation has emerged as a focal point of research interest and therapeutic intervention. The pioneer drug was eculizumab, which made it possible to drastically change the prognosis of atypical hemolytic uremic syndrome, an otherwise fatal disease. This comprehensive review aims to elucidate the multifaceted interplay between complement pathways and glomerulopathies, shedding light on potential pathways for targeted therapies and improved patient care.
A Review of Experiment Methods, Simulation Approaches and Wake Characteristics of Floating Offshore Wind Turbines
Authors: Chen Xiaoxu , Wang Tengyuan , Cai Chang , Liu Jianshuang , Gao Xiaoxia , Guo Naizhi , Li Qingan
Published: January 2025

With the urgent demand for net-zero emissions, renewable energy is taking the lead and wind power is becoming increasingly important. Among the most promising sources, offshore wind energy located in deep water has gained significant attention. This review focuses on the experimental methods, simulation approaches, and wake characteristics of floating offshore wind turbines (FOWTs). The hydrodynamics and aerodynamics of FOWTs are not isolated and they interact with each other. Under the environmental load and mooring force, the floating platform has six degrees of freedom motions, which bring the changes in the relative wind speed to the turbine rotor, and furthermore, to the turbine aerodynamics. Then, the platform’s movements lead to a complex FOWT wake evolution, including wake recovery acceleration, velocity deficit fluctuations, wake deformation and wake meandering. In scale FOWT tests, it is challenging to simultaneously satisfy Reynolds number and Froude number similarity, resulting in gaps between scale model experiments and field measurements. Recently, progress has been made in scale model experiments; furthermore, a “Hardware in the loop” technique has been developed as an effective solution to the above contradiction. In numerical simulations, the coupling of hydrodynamics and aerodynamics is the concern and a typical numerical simulation of multi-body and multi-physical coupling is reviewed in this paper. Furthermore, recent advancements have been made in the analysis of wake characteristics, such as the application of instability theory and modal decomposition techniques in the study of FOWT wake evolution. These studies have revealed the formation of vortex rings and leapfrogging behavior in adjacent helical vortices, which deepens the understanding of the FOWT wake. Overall, this paper provides a comprehensive review of recent research on FOWT wake dynamics.
Meningeal Metastasis from Naso-Ethmoidal Malignancies: Pathogenesis, Risk Factors, and Prognostic Impact
Authors: Accorona Remo , Dohin Isabelle , Mattavelli Davide , Ferrari Marco , Ravanelli Marco , Rampinelli Vittorio , Farina Davide , Nicolai Piero , Piazza Cesare , Schreiber Alberto
Published: January 2025

Introduction: Meningeal metastasis (MM) from naso-ethmoidal malignancies (NEMs) is rare, its metastatic route is still debated, and its prognostic impact remains unclear. Our aim is to analyze a retrospective series of NEMs with non-contiguous MM to study the possible route of spread and the prognostic value of MM. Materials and methods: The institutional database of SNC treated at the University of Brescia between 1995 and 2021 was reviewed. Clinical–pathological data were collected, and survivals were estimated with Kaplan–Meier. Univariate and multivariate logistic regression analysis were run to identify predictors of MM. Results: Among 296 patients, 17 experienced non-contiguous MM, all located along the dura. Intestinal-type adenocarcinoma (10/17) and olfactory neuroblastoma (3/17) were the most frequent histologies. At univariate analysis, brain edema (p < 0.0001), resection (p = 0.026) or invasion (p = 0.006) of brain parenchyma, and local (p = 0.0004) and nodal (p = 0.021) recurrence were predictors of MM. At multivariate analysis, local recurrence was confirmed as an independent factor (odds ratio: 11.88, p = 0.0005). Dural surgical resection was not a risk factor. The five-year disease-specific survival was longer in patients with exclusive MM compared with patients with distant metastasis at other sites (64.3% vs. 30.1% p = 0.046). Conclusions: Dural venous shunt is the most likely pathway of spread of MM. Local recurrence is the only independent risk factor. Exclusive MM has a better prognosis than extrameningeal metastasis.
(E)-N-(4-Methoxyphenyl)-1-(4′-(trifluoromethyl)-[1,1′-biphenyl]-4-yl)methanimine
Authors: Rico-Molina Mario , Peña-García David , Altarejos Joaquín , Salido Sofía
Published: January 2025

The title compound (1) was obtained within a project aimed at synthesizing inhibitors of the human enzyme lactate dehydrogenase A (hLDHA). Compound 1 was synthesized by Suzuki cross-coupling of (E)-1-(4-bromophenyl)-N-(4-methoxyphenyl)methanimine (2a) or (E)-1-(4-iodophenyl)-N-(4-methoxyphenyl)methanimine (2b) with 4-(trifluoromethyl)phenylboronic acid (3) using Pd(PPh3)4 as a catalyst in 86% and 87% yields, respectively. Halo-imines 2a and 2b were previously obtained by condensation reaction between p-anisidine (4) and 4-bromo-benzaldehyde (5a) or 4-iodo-benzaldehyde (5b), respectively. The structure of compound 1 was established by 1D and 2D NMR spectroscopy, infrared and ultraviolet spectroscopies, and high-resolution mass spectrometry.
Enhancement of Spin Wave Transmission Through Antiferromagnet in Pt/NiO/CoFeB Heterostructure
Authors: Shi Wei , Wang Yangkai , Liu Zhixin , Pei Yilin , Huang Qiuping , Fu Zhengping , Wang Jianlin , Lu Yalin
Published: January 2025

A significant enhancement of the spin current transmission through the antiferromagnetic insulating material NiO in Pt/NiO/CoFeB heterostructures was observed in this work. The ultrafast spin currents excited by laser pulses were injected into the Pt layers after passing through the NiO layers, and then transient charge currents were generated via the inverse spin Hall effect (ISHE), leading to a terahertz (THz) emission from the structure. The emitted THz signals were measured using electro-optic sampling with a ZnTe crystal. Thin NiO layers remarkably enhanced the THz signal amplitude, suggesting high spin transfer efficiency in NiO, and lighting a direction to ameliorate the spintronic THz emitter. The variable temperature measurements showed the amplitude had a maximum near the Néel temperature (TN) of the NiO layer with a specific thickness. The results of phase difference suggested that the coherent evanescent spin wave-mediated transmission had a contribution below the TN of the NiO layer, while the thermal magnon-mediated transmission existed at all temperatures. Our results not only achieve an enhancement in the spintronic THz source but also provide a THz spectroscopic method to investigate the dynamics of the ultrafast spintronic phenomenon.
AGTM Optimization Technique for Multi-Model Fractional-Order Controls of Spherical Tanks
Authors: Jayaram Sabavath , Verrelli Cristiano Maria , Venkatesan Nithya
Published: January 2025

Spherical tanks are widely utilized in process industries due to their substantial storage capacity. These industries’ inherent challenges necessitate using highly efficient controllers to manage various process parameters, especially given their nonlinear behavior. This paper proposes the Approximate Generalized Time Moments (AGTM) optimization technique for designing the parameters of multi-model fractional-order controllers for regulating the output (liquid level) of a real-time nonlinear spherical tank. System identification for different regions of the nonlinear process is here innovatively conducted using a black-box model, which is determined to be nonlinear and approximated as a First Order Plus Dead Time (FOPDT) system over each region. Both model identification and controller design are performed in simulation and real-time using a National Instruments NI DAQmx 6211 Data Acquisition (DAQ) card (NI SYSTEMS INDIA PVT. LTD., Bangalore Karnataka, India) and MATLAB/SIMULINK software (MATLAB R2021a). The performance of the overall algorithm is evaluated through simulation and experimental testing, with several setpoints and load changes, and is compared to the performance of other algorithms tuned within the same framework. While traditional approaches, such as integer-order controllers or linear approximations, often struggle to provide consistent performance across the operating range of spherical tanks, it is originally shown how the combination of multi-model fractional-order controller design—AGTM optimization method—GA for expansion point selection and index minimization has benefits in specifically controlling a (difficult to be controlled) nonlinear process.
Variational Iteration and Linearized Liapunov Methods for Seeking the Analytic Solutions of Nonlinear Boundary Value Problems
Authors: Liu Chein-Shan , Li Botong , Kuo Chung-Lun
Published: January 2025

The boundary shape function method (BSFM) and the variational iteration method (VIM) are merged together to seek the analytic solutions of nonlinear boundary value problems. The boundary shape function method transforms the boundary value problem to an initial value problem (IVP) for a new variable. Then, a modified variational iteration method (MVIM) is created by applying the VIM to the resultant IVP, which can achieve a good approximate solution to automatically satisfy the prescribed mixed-boundary conditions. By using the Picard iteration method, the existence of a solution is proven with the assumption of the Lipschitz condition. The MVIM is equivalent to the Picard iteration method by a back substitution. Either by solving the nonlinear equations or by minimizing the error of the solution or the governing equation, we can determine the unknown values of the parameters in the MVIM. A nonlocal BSFM is developed, which then uses the MVIM to find the analytic solution of a nonlocal nonlinear boundary value problem. In the second part of this paper, a new splitting–linearizing method is developed to expand the analytic solution in powers of a dummy parameter. After adopting the Liapunov method, linearized differential equations are solved sequentially to derive an analytic solution. Accurate analytical solutions are attainable through a few computations, and some examples involving two boundary layer problems confirm the efficiency of the proposed methods.
Functional and Bioactive Benefits of Selected Microalgal Hydrolysates Assessed In Silico and In Vitro
Authors: Aurino Elena , Mora Leticia , Marzocchella Antonio , Kuchendorf Christina M. , Ackermann Bärbel , Hayes Maria
Published: January 2025

BIOPEP-UWM, a peptide database, contains 5128 peptides from a myriad of resources. Five listed peptides are Angiotensin-I-converting enzyme (ACE-1; EC3.4.15.1) inhibitory peptides derived from a red alga, while two from Chlorella vulgaris have anti-cancer and antioxidative bioactivities. Herein, we describe a process combining hydrolysis with two enzymes, Alcalase and Viscozyme, and filtration to generate protein-rich, bioactive peptide-containing hydrolysates from mixed species of Chlorella sp. and Scenedesmus sp. The potential of generated algal hydrolysates to act as food ingredients was determined by assessment of their techno-functional (foaming, emulsification, solubility, water holding, and oil holding capacity) properties. Bioactive screening of hydrolysates in vitro combined with mass spectrometry (MS) and in silico predictions identified bioactive and functional hydrolysates and six novel peptides. Peptides derived from Chlorella mix have the sequences YDYIGNNPAKGGLF and YIGNNPAKGGLF with predicted anti-inflammatory (medium confidence) and umami potential. Peptides from Scenedesmus mix have sequences IEWYGPDRPKFL, RSPTGEIIFGGETM, TVQIPGGERVPFLF, and IEWYGPDRPKFLGPF with predicted anti-inflammatory, anti-diabetic, and umami attributes. Such microalgal hydrolysates could provide essential amino acids to consumers as well as tertiary health benefits to improve human global health.
Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional Statistics and Machine Learning Analysis
Authors: Kim Jong-Ho , Kim Hye-Sook , Sohn Jong-Hee , Hwang Sung-Mi , Lee Jae-Jun , Kwon Young-Suk
Published: January 2025

Background and Objectives: Recent research has focused on exploring the relationships between various factors associated with headaches and understanding their impact on individuals’ psychological states. Utilizing statistical methods and machine learning models, these studies aim to analyze and predict these relationships to develop effective approaches for headache management and prevention. Materials and Methods: Analyzing data from 398 patients (train set = 318 and test set = 80), we investigated the influence of various features on outcomes such as depression, anxiety, and headache intensity using machine learning and linear regression. The study employed a mixed-methods approach, combining medical records, interviews, and surveys to gather comprehensive data on participants’ experiences with headaches and their associated psychological effects. Results: Machine learning models, including Random Forest (utilized for Headache Impact Test-6, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7) and Support Vector Regression (applied to Migraine Disability Assessment), revealed key features contributing to each outcome through Shapley values, while linear regression provided additional insights. Frequent analgesic medication emerged as a significant predictor of poorer life quality (Headache Impact Test-6, root mean squared error = 7.656) and increased depression (Patient Health Questionnaire-9, root mean squared error = 5.07) and anxiety (Generalized Anxiety Disorder-7, root mean squared error = 4.899) in the Random Forest model. However, interpreting the importance of features in complex models like supportive vector regression poses challenges, and determining causality between factors such as medication usage and pain severity was not feasible. Conclusions: Our study underscores the importance of considering individual characteristics in optimizing treatment strategies for headache patients.
The Importance of Measurement Uncertainty Arising from the Sampling Process in Conformity Assessment: The Case of Fuel Quality
Authors: Hernandez-Vásquez José Daniel , de Oliveira Elcio Cruz
Published: January 2025

There is growing concern regarding the environmental and operational safety aspects of fuel. The result of a physicochemical measurement is the outcome of a series of steps that begin with the sampling process. The information obtained from this step and the contribution from the analytical process define the measurement uncertainty, although most laboratories consider only the analytical contribution as a quality parameter. On the other hand, this variability can be used as vital information to evaluate conformity to a specification. This study aimed to use uncertainty information considering only the analytical uncertainty and, next, the analytical and sampling uncertainties in compliance assessment, taking physicochemical measurements of fuel as case studies. The first scenario, which is traditional and focused solely on analytical uncertainty, showed to be less rigorous than the second scenario, which combined sampling uncertainty with analytical uncertainty. The results indicated that for the flash point in jet fuel, the sulfur mass fraction in gasoline-ethanol blends, and the kinematic viscosity in diesel, the risks to consumers—first considering only analytical uncertainty and then combining analytical uncertainty with sampling uncertainty—were the following: 2.6% and 5.6%; 4.4% and 7.1%; and 1.6% and 18.9%, respectively. Since the initial result of each pair was below 5%, compliance with the specification is suggested. However, when accounting for sampling uncertainty, there is an indication of potential non-compliance with the specification. Therefore, it is concluded that the contribution of uncertainty arising from sampling must be considered in a conformity assessment.
Optimization of the Design of Underground Hydrogen Storage in Salt Caverns in Southern Ontario, Canada
Authors: Huang Jingyu , Yin Shunde
Published: January 2025

With the issue of energy shortages becoming increasingly serious, the need to shift to sustainable and clean energy sources has become urgent. However, due to the intermittent nature of most renewable energy sources, developing underground hydrogen storage (UHS) systems as backup energy solutions offers a promising solution. The thick and regionally extensive salt deposits in Unit B of Southern Ontario, Canada, have demonstrated significant potential for supporting such storage systems. Based on the stratigraphy statistics of unit B, this study investigates the feasibility and stability of underground hydrogen storage (UHS) in salt caverns, focusing on the effects of cavern shape, geometric parameters, and operating pressures. Three cavern shapes—cylindrical, cone-shaped, and ellipsoid-shaped—were analyzed using numerical simulations. Results indicate that cylindrical caverns with a diameter-to-height ratio of 1.5 provide the best balance between storage capacity and structural stability, while ellipsoid-shaped caverns offer reduced stress concentration but have less storage space, posing practical challenges during leaching. The results also indicate that the optimal pressure range for maintaining stability and minimizing leakage lies between 0.4 and 0.7 times the vertical in situ stress. Higher pressures increase storage capacity but lead to greater stress, displacements, and potential leakage risks, while lower pressure leads to internal extrusion tendency for cavern walls. Additionally, hydrogen leakage rate drops with the maximum working pressure, yet total leakage mass keeps a growing trend.
Cold Pressed Oil from Japanese Quince Seeds (Chaenomeles japonica): Characterization Using DSC, Spectroscopic, and Monolayer Data
Authors: Kamińska Wiktoria , Neunert Grażyna , Siejak Przemysław , Polewski Krzysztof , Tomaszewska-Gras Jolanta
Published: January 2025

The cold-pressed oil from Japanese quince seeds (JQSO) is notable for its favorable fatty acid profile, low oxidation rate, and bioactive compounds like antioxidants, sterols, and carotenoids. This study offers a detailed molecular-level physical characterization of JQSO and its minor components using differential scanning calorimetry (DSC), Langmuir monolayer studies, and various spectroscopic methods, including UV–vis absorption, fluorescence, and FTIR. DSC analysis identified five peaks related to triglyceride (TG) fractions and provided insights into the melting and crystallization behavior of JQSO. The Langmuir monolayer studies revealed high compressibility, indicative of superior emulsification properties. Viscoelastic modulus measurements suggested strong intermolecular interactions, contributing to the oil’s resilience under stress—an attribute typical of oils high in saturated or monounsaturated fatty acids. Spectroscopic methods confirmed the presence of phenolic acids, tocopherols, carotenoids, and their derivatives. The total fluorescence spectra highlighted prominent peaks at 290 nm/330 nm and 360 nm/440 nm, while the total synchronous fluorescence spectra revealed key excitation–emission regions (10–50 nm/300 nm and 40–140 nm/360 nm), corroborating the presence of tocopherols, phenols, polyphenols, flavones, and carotenoids. No evidence of chlorophyll was detected. The ATR-FTIR spectra validated the presence of fatty acids and triacylglycerols, emphasizing a high degree of esterification and the dominance of unsaturated fatty acids in oil structures. The methods used provided the opportunity to perform a label-free, fast, and reliable determination of the properties of JQSO. The findings confirmed that crude, cold-pressed JQSO retains its valuable bioactive components, aligning with previous research on its chemical and physical properties.
Resilience to Global Health Challenges Through Nutritional Gut Microbiome Modulation
Authors: Isolauri Erika , Laitinen Kirsi
Published: January 2025

As the world faces an escalating challenge of non-communicable diseases (NCDs), with phenotypes ranging from allergic chronic immuno-inflammatory diseases to neuropsychiatric disorders, it becomes evident that their seeds are sown during the early stages of life. Furthermore, within only a few decades, human obesity has reached epidemic proportions and now represents the most serious public health challenge of our time. Recent demonstrations that a growing number of these conditions are linked to aberrant gut microbiota composition and function have evoked active scientific interest in host-microbe crosstalk, characterizing and modulating the gut microbiota in at-risk circumstances. These efforts appear particularly justified during the most critical period of developmental plasticity when the child’s immune, metabolic, and microbiological constitutions lend themselves to long-term adjustment. Pregnancy and early infancy epitomize an ideal developmental juncture for preventive measures aiming to reduce the risk of NCDs; by promoting the health of pregnant and lactating women today, the health of the next generation(s) may be successfully improved. The perfect tools for this initiative derive from the earliest and most massive source of environmental exposures, namely the microbiome and nutrition, due to their fundamental interactions in the function of the host immune and metabolic maturation.
Bioavailability Enhancement and Formulation Technologies of Oral Mucosal Dosage Forms: A Review
Authors: Bácskay Ildikó , Arany Petra , Fehér Pálma , Józsa Liza , Vasvári Gábor , Nemes Dániel , Pető Ágota , Kósa Dóra , Haimhoffer Ádám , Ujhelyi Zoltán , Sinka Dávid
Published: January 2025

The oral mucosa is a versatile surface for drug administration, supporting both local and systemic therapies. Many active substances are effectively absorbed in the oral cavity, offering an alternative to enteral administration by bypassing the harsh gastrointestinal environment and hepatic first-pass metabolism. This has made oral mucosal drug delivery a growing area of research. Enhancing the bioavailability of active ingredients is a key focus in pharmaceutical technology, especially given the challenges of developing new drugs. Numerous strategies to improve bioavailability are compatible with oral mucosal delivery, with the unique anatomy of the oral cavity enabling specialized applications. A variety of dosage forms tailored for oral mucosal delivery meet therapeutic needs while addressing biopharmaceutical and patient compliance challenges. Proper formulation can achieve controlled release, improved bioavailability, and patient convenience. This review highlights the potential of oral mucosal drug delivery, focusing on bioavailability enhancement methods and the types and production technologies of dosage forms optimized for use in the oral cavity.