bluuebunny/crossref_metadata_2025 huggingface dataset:
Ac-[K-Aib-C(3,9-Acm; 6,12-DFLC(Acm)KKESEK)]4-NH2
Authors: Moulasioti Vasiliki , Fotou Evgenia , Moussis Vassilios , Tsikaris Vassilios
Published: September 2024

Chemoselective reactions have played a crucial role in the development of high-molecular-weight (>3000 Da) macromolecules with a branched architecture, particularly as peptides and epitope-based vaccines have emerged as promising tools for drug development. Based on this, in this study, we designed and synthesized the peptide macromolecule CH3CO-[K-Aib-C(3,9-CH2NHCOCH3; 6,12-DFLC(CH2NHCOCH3)KKESEK)]4-NH2 [Ac-K-Aib-C(3,9-Acm); 6,12-epitope)]4-NH2] using chemoselective thioether bond formation between the peptide carrier CPSOC (3,9 Acm) and the IAc-DFLC(Acm)KKESEK-NH2 peptide epitope. The conjugate was purified via RP-HPLC and characterized via HR-ESI-MS. The epitope D128FLCKKESEK137 derives from the lethal toxin, ammodytoxin A, from the V. ammodytes snake species, and it was synthesized using the SPPS Fmoc/tBu methodology and characterized via HR-ESI-MS and NMR techniques.
Enhanced Cycling Performance of Spinel LiNi0.5Mn1.5O4 Cathodes through Mg-Mn Hetero-Valent Doping via Microwave Sol-Gel Method
Authors: Su Mingyin , Dong Xiongwen , Dai Xinyi , Huang Bingbing , Shen Min , Xu Teng , Liu Qibin
Published: September 2024

As a high energy density cathode material, further development of high working voltage spinel LiNi0.5Mn1.5O4 has hindered by its rapid capacity degradation. To address this, a hetero-valent substitution of magnesium for manganese was used to synthesize spinel LiNi0.5MgxMn1.5−xO4 (x = 0, 0.03, 0.05) via a microwave sol-gel method. XRD and refined results indicate that such strategy leads to the modification of the 16c interstitial sites. The electrical performance demonstrates that a modest substitution (x = 0.03) significantly improves both rate performance (113.1 mAh/g, charge and discharge at 5 C) and cycling stability (85% capacity retention after 500 cycles at 1 C). A higher substitution level (x = 0.05) markedly improves high-rate cycling performance, achieving 96% capacity retention after 500 cycles at 5 C. It offers tailored solutions for various application needs, including capacity-focused and high-current-rate applications. Furthermore, the stable LiNi0.5Mg0.05Mn1.45O4 sample could also serve as an effective coating layer for other electrode materials to enhance their cycling stability.
Norm Estimates for Remainders of Noncommutative Taylor Approximations for Laplace Transformers Defined by Hyperaccretive Operators
Authors: Jocić Danko R.
Published: September 2024

Let H be a separable complex Hilbert space, B(H) the algebra of bounded linear operators on H, μ a finite Borel measure on R+ with the finite (n+1)-th moment, f(z):=∫R+e−tzdμ(t) for all ℜz⩾0,CΨ(H), and ||·||Ψ the ideal of compact operators and the norm associated to a symmetrically norming function Ψ, respectively. If A,D∈B(H) are accretive, then the Laplace transformer on B(H),X↦∫R+e−tAXe−tDdμ(t) is well defined for any X∈B(H) as is the newly introduced Taylor remainder transformer Rn(f;D,A)X:=f(A)X−∑k=0n1k!∑i=0k(−1)ikiAk−iXDif(k)(D). If A,D* are also (n+1)-accretive, ∑k=0n+1(−1)kn+1kAn+1−kXDk∈CΨ(H) and ||·||Ψ is Q* norm, then ||·||Ψ norm estimates for ∑k=0n+1n+1kAkAn+1−k12Rn(f;D,A)X∑k=0n+1n+1kDn+1−kD*k12 are obtained as the spacial cases of the presented estimates for (also newly introduced) Taylor remainder transformers related to a pair of Laplace transformers, defined by a subclass of accretive operators.
Closeness Centrality of Asymmetric Trees and Triangular Numbers
Authors: Ramanathan Nytha , Ramirez Eduardo , Suzuki-Burke Dorothy , Narayan Darren A.
Published: September 2024

The combinatorial problem in this paper is motivated by a variant of the famous traveling salesman problem where the salesman must return to the starting point after each delivery. The total length of a delivery route is related to a metric known as closeness centrality. The closeness centrality of a vertex v in a graph G was defined in 1950 by Bavelas to be CC(v)=|V(G)|−1SD(v), where SD(v) is the sum of the distances from v to each of the other vertices (which is one-half of the total distance in the delivery route). We provide a real-world example involving the Metro Atlanta Rapid Transit Authority rail network and identify stations whose SD values are nearly identical, meaning they have a similar proximity to other stations in the network. We then consider theoretical aspects involving asymmetric trees. For integer values of k, we considered the asymmetric tree with paths of lengths k,2k,…,nk that are incident to a center vertex. We investigated trees with different values of k, and for k=1 and k=2, we established necessary and sufficient conditions for the existence of two vertices with identical SD values, which has a surprising connection to the triangular numbers. Additionally, we investigated asymmetric trees with paths incident to two vertices and found a sufficient condition for vertices to have equal SD values. This leads to new combinatorial proofs of identities arising from Pascal’s triangle.
Impulsive Discrete Runge–Kutta Methods and Impulsive Continuous Runge–Kutta Methods for Nonlinear Differential Equations with Delayed Impulses
Authors: Zhang Gui-Lai , Zhu Zhi-Yong , Wang Yu-Chen , Liu Chao
Published: September 2024

In this paper, we study the asymptotical stability of the exact solutions of nonlinear impulsive differential equations with the Lipschitz continuous function f(t,x) for the dynamic system and for the impulsive term Lipschitz continuous delayed functions Ik. In order to obtain numerical methods with a high order of convergence and that are capable of preserving the asymptotical stability of the exact solutions of these equations, impulsive discrete Runge–Kutta methods and impulsive continuous Runge–Kutta methods are constructed, respectively. For these different types of numerical methods, different convergence results are obtained and the sufficient conditions for asymptotical stability of these numerical methods are also obtained, respectively. Finally, some numerical examples are provided to confirm the theoretical results.
A Study of GGDP Transition Impact on the Sustainable Development by Mathematical Modelling Investigation
Authors: Yue Nuoya , Hou Junjun
Published: September 2024

GDP is a common and essential indicator for evaluating a country’s overall economy. However, environmental issues may be overlooked in the pursuit of GDP growth for some countries. It may be beneficial to adopt more sustainable criteria for assessing economic health. In this study, green GDP (GGDP) is discussed using mathematical approaches. Multiple dataset indicators were selected for the evaluation of GGDP and its impact on climate mitigation. The k-means clustering algorithm was utilized to classify 16 countries into three distinct categories for specific analysis. The potential impact of transitioning to GGDP was investigated through changes in a quantitative parameter, the climate impact factor. Ridge regression was applied to predict the impact of switching to GGDP for the three country categories. The consequences of transitioning to GGDP on the quantified improvement of climate indicators were graphically demonstrated over time on a global scale. The entropy weight method (EWM) and TOPSIS were used to obtain the value. Countries in category 2, as divided by k-means clustering, were predicted to show a greater improvement in scores as one of the world’s largest carbon emitters, China, which belongs to category 2 countries, plays a significant role in global climate governance. A specific analysis of China was performed after obtaining the EWM-TOPSIS results. Gray relational analysis and Pearson correlation were carried out to analyze the relationships between specific indicators, followed by a prediction of CO2 emissions based on the analyzed critical indicators.
Performance Analysis for Predictive Voltage Stability Monitoring Using Enhanced Adaptive Neuro-Fuzzy Expert System
Authors: Adewuyi Oludamilare Bode , Krishnamurthy Senthil
Published: September 2024

Intelligent voltage stability monitoring remains an essential feature of modern research into secure operations of power system networks. This research developed an adaptive neuro-fuzzy expert system (ANFIS)-based predictive model to validate the viability of two contemporary voltage stability indices (VSIs) for intelligent voltage stability monitoring, especially at intricate loading and operation points close to voltage collapse. The Novel Line Stability Index (NLSI) and Critical Boundary Index are VSIs deployed extensively for steady-state voltage stability analysis, and thus, they are selected for the predictive model implementation. Six essential power system operational parameters with data values calculated at varying real and reactive loading levels are input features for ANFIS model implementation. The model’s performance is evaluated using reliable statistical error performance analysis in percentages (MAPE and RRMSEp) and regression analysis based on Pearson’s correlation coefficient (R). The IEEE 14-bus and IEEE 118-bus test systems were used to evaluate the prediction model over various network sizes and complexities and at varying clustering radii. The percentage error analysis reveals that the ANFIS predictive model performed well with both VSIs, with CBI performing comparatively better based on the comparative values of MAPE, RRMSEp, and R at multiple simulation runs and clustering radii. Remarkably, CBI showed credible potential as a reliable voltage stability indicator that can be adopted for real-time monitoring, particularly at loading levels near the point of voltage instability.
Statistical Analysis-Based Prediction Model for Fatigue Characteristics in Lap Joints Considering Weld Geometry, Including Gaps
Authors: Kim Dong-Yoon , Yu Jiyoung
Published: September 2024

Automotive chassis components, constructed as lap joints and produced by gas metal arc welding (GMAW), require fatigue durability. The fatigue properties of the weld in a lap joint are largely determined by weld geometry factors. When there is no gap or a consistent gap in the lap joint, improving the geometry of the weld toe can alleviate stress concentration and enhance fatigue properties. However, due to machining tolerances, it is difficult to completely eliminate or consistently manage the gap in the joint. In the case of a lap-welded joint with an inconsistent gap, it is necessary to identify the weld geometry factors related to fatigue properties. Evaluating the fatigue behavior of materials and welded joints requires significant time and cost, meaning that research that seeks to predict fatigue properties is essential. More research is needed on predicting fatigue properties related to automotive chassis components, particularly studies on predicting the fatigue properties of lap-welded joints with gaps. This study proposed a regression model for predicting fatigue properties based on crucial weld geometry factors in lap-welded joints with gaps using statistical analysis. Welding conditions were varied in order to build various weld geometries in joints configured in a lap with gaps of 0, 0.2, 0.5, and 1.0 mm, and 87 S–N curves for the lap-welded joints were derived. As input variables, 17 weld geometry factors (7 lengths, 7 angles, and 3 area factors) were selected. The slope of the S–N curve using the Basquin model from the S–N curve and the safe fatigue strength were selected as output variables for prediction in order to develop the regression model. Multiple linear regression models, multiple non-linear regression models, and second-order polynomial regression models were proposed to predict fatigue properties. Backward elimination was applied to simplify the models and reduce overfitting. Among the three proposed regression models, the multiple non-linear regression model had a coefficient of determination greater than 0.86. In lap-welded joints with gaps, the weld geometry factors representing fatigue properties were identified through standardized regression coefficients, and four weld geometry factors related to stress concentration were proposed.
The Interfacial Reaction between Amorphous Ni-W-P Coating and Sn-58Bi Solder
Authors: Li Chenyu , Su Xiaolin , Zhang Zhongxu , Ma Haitao , Yao Jinye , Xia Haohao , Zhao Yuanbang
Published: September 2024

With the rapid development of the advanced electronic packaging field, the requirements for the connection between solder and Cu substrate are becoming increasingly stringent. Currently, the commonly used Ni-P diffusion barrier layer in the industry lacks long-term reliability, and its resistivity is higher than that of other substrates. This paper introduces the highly conductive metal element W to modify the binary Ni-P coating and prepares a ternary Ni-W-P coating through electrodeposition to improve this situation. The key parameters for the electrodeposition of ternary Ni-W-P are determined. The isothermal aging reaction of Ni-W-P with Sn-Bi solder at 100 °C was studied, and the results showed that, compared to the conventional Ni-P coating, the Ni-W-P barrier coating with higher W content has a much longer lifespan as a barrier layer and exhibits significantly better electrical conductivity. Additionally, the reaction mechanism between Ni-W-P and the Sn-Bi solder is proposed. This research presents a promising advancement in the development of barrier layers for electronic packaging, potentially leading to more reliable and efficient electronic devices. Introducing tungsten into the Ni-P matrix not only extends the lifespan of the coating but also enhances its electrical performance, making it a valuable innovation for applications requiring high conductivity and durability. This study could guide further investigations into the application of ternary coatings in various electronic components, paving the way for improved designs and materials in the semiconductor industry.
Comprehensive Review of FinFET Technology: History, Structure, Challenges, Innovations, and Emerging Sensing Applications
Authors: Karimi Koosha , Fardoost Ali , Javanmard Mehdi
Published: September 2024

The surge in demand for 3D MOSFETs, such as FinFETs, driven by recent technological advances, is explored in this review. FinFETs, positioned as promising alternatives to bulk CMOS, exhibit favorable electrostatic characteristics and offer power/performance benefits, scalability, and control over short-channel effects. Simulations provide insights into functionality and leakage, addressing off-current issues common in narrow band-gap materials within a CMOS-compatible process. Multiple structures have been introduced for FinFETs. Moreover, some studies on the fabrication of FinFETs using different materials have been discussed. Despite their potential, challenges like corner effects, quantum effects, width quantization, layout dependencies, and parasitics have been acknowledged. In the post-planar CMOS landscape, FinFETs show potential for scalability in nanoscale CMOS, which leads to novel structures for them. Finally, recent developments in FinFET-based sensors are discussed. In a general view, this comprehensive review delves into the intricacies of FinFET fabrication, exploring historical development, classifications, and cutting-edge ideas for the used materials and FinFET application, i.e., sensing.
Research Progress and Current Status of Gas–Solid Two-Phase Flow Technology in the Direction of Laser Cladding
Authors: Peng Jianjun , Zhou Erhao , Feng Run , Xue Meng , Wang Junhua , Zhong Zhidan , Ku Xiangchen
Published: September 2024

In the process of laser cladding, there are usually problems such as powder plugging and uneven delivery, which affect the quality of the final cladding layer. Therefore, powder convergence characteristics in laser cladding need to be further improved. Gas–solid two-phase flow technology has been widely used in the study of powder flow characteristics because it can precisely regulate the interaction between carrier air and powder flow. In this paper, we systematically review the current status of gas–solid two-phase flow in the field of laser cladding powder, deeply analyze the latest optimization progress of laser cladding nozzle design, and comprehensively explain the key progress of gas–solid two-phase flow technology in improving the uniformity and efficiency of powder field distribution. At the end of this paper, the research results are summarized and a series of prospective prospects are proposed, aiming to provide a valuable reference framework and directional guidance for the subsequent related research.
Biocontrol Activity of Bacillus altitudinis CH05 and Bacillus tropicus CH13 Isolated from Capsicum annuum L. Seeds against Fungal Strains
Authors: Espinosa Bernal Merle Ariadna , Mena Navarro Mayra Paola , Arvizu Gómez Jackeline Lizzeta , Saldaña Carlos , Ramos López Miguel Ángel , Amaro Reyes Aldo , Escamilla García Monserrat , Pacheco Aguilar Juan Ramiro , Moreno Victor Pérez , Rodríguez Morales José Alberto , Álvarez Hidalgo Erika , Nuñez Ramírez Jorge , Hernández Flores José Luis , Campos Guillén Juan
Published: September 2024

In this study, seed-surface-associated bacteria from fresh fruits of Capsicum spp. were analyzed to explore potential isolates for biocontrol of phytopathogenic fungal strains. A total of 76 bacterial isolates were obtained from three different species of chili pepper (C. annuum L., C. pubescens R. & P., and C. chinense Jacq.), and two isolates were selected via mycelial growth inhibition assays based on their production of volatile organic compounds (VOCs) against six fungal strains. Genomic analysis identified these isolates as Bacillus altitudinis CH05, with a chromosome size of 3,687,823 bp and with 41.25% G+C, and Bacillus tropicus CH13, with a chromosome size of 5,283,706 bp and with 35.24% G+C. Both bacterial strains showed high mycelial growth inhibition capacities against Sclerotium rolfsii, Sclerotinia sp., Rhizoctonia solani, and Alternaria alternata but lower inhibition capacities against Colletotrichum gloesporoides and Fusarium oxysporum. VOC identification was carried out after 24 h of fermentation with 64 VOCs for B. altitudinis CH05 and 53 VOCs for B. tropicus CH13. 2,5-Dimethyl pyrazine and acetoin had the highest relative abundance values in both bacterial strains. Our findings revealed that seed-surface-associated bacteria on Capsicum spp. have the metabolic ability to produce VOCs for biocontrol of fungal strains and have the potential to be used in sustainable agriculture.
New Ag-Rich Mn-Zn±Pb Vein Mineralization at the Mavro Xylo Manganese Oxide Deposit, Drama, Greece
Authors: Soulamidis George , Stouraiti Christina , Voudouris Panagiotis , Tsikos Harilaos
Published: September 2024

The manganese deposits at the Kato Nevrokopi area are located in the Drama Basin (Northern Greece) and belong to the Rhodope Metamorphic Province. The deposits were previously exploited for several supergene Mn-oxide ore bodies of massive, battery-grade nsutite, spatially associated with fault zones in the vicinity of Oligocene granitic intrusions. We conducted detailed geological, mineralogical, and geochemical investigations at the Mavro Xylo deposit, which led to the identification of Ag-rich Mn-Zn±Pb vein-type mineralization. The studied paragenesis appears to have developed during two hydrothermal stages: stage I, characterized by the mineral assemblage rhodonite–quartz–rhodochrosite–pyrophanite–pyrite–galena–Te bearing argentite–sphalerite–wurtzite–alabandite, and stage II, dominated by Ag-rich, Mn-Zn±Pb oxides in the form of fracture-fills along a high-angle NE-SW fault zone in brecciated marbles. Bulk analyses of the stage-II oxide assemblage yielded concentrations of Ag up to 0.57 wt.%. In the veins, wurtzite is present in bands, succeeded by manganese oxides, while calcite and quartz are the main gangue minerals. We placed particular emphasis on the occurrence of Ag in high concentrations within distinct manganese oxides. Major silver carriers include Zn-bearing todorokite, chalcophanite, and hydrous Pb-Mn oxide. The vein-type mineralization at Mavro Xylo shares many characteristics with other intermediate-sulfidation epithermal precious metal-rich deposits associated with high Mn concentrations. The evolution of the mineral paragenesis indicates a change in the physicochemical attributes of the ore-forming fluids, from initially reducing (stage I) to oxidizing (stage II). Although the origin of the initial ore-forming fluid remains to be constrained, the above redox change is tentatively attributed to the increasing incursion of meteoric waters over time.
Review on the Challenges of Magnesium Removal in Nickel Sulfide Ore Flotation and Advances in Serpentinite Depressor
Authors: Yin Fengxiang , Zhang Chengxu , Yu Yao , Lv Chenyang , Gao Zhengbo , Lu Bingang , Su Xiaohui , Luo Chunhua , Peng Xiangan , McFadzean Belinda , Cao Jian
Published: September 2024

Nickel is an important raw metal material in industry, which has been identified as a strategic mineral resource by the Chinese Ministry of Land and Resources. Nickel sulfide ore accounts for 40% of all nickel ores worldwide. However, magnesium silicate gangue minerals in sulfide nickel ores, particularly serpentine, pose significant challenges to the flotation of nickel sulfide ores. The presence of magnesium silicate gangue leads to a series of issues, including increased energy consumption in subsequent smelting processes, accelerated equipment wastage, and increased SO2 emissions, which severely impact the comprehensive utilization of nickel resources in sulfide nickel ores. In this regard, flotation depressants are the most direct and effective method to reduce adverse influences caused by magnesium silicate gangue in the flotation of nickel sulfide ore concentrate. Based on the characteristics of the typical magnesium-containing nickel sulfide ore, this review illustrates the difficulties of the depression of magnesium silicate gangue during the flotation of nickel sulfide ore and gives an overview of the common depressants from six aspects (chelation depressants, dispersion depressants, flocculation depressants, depressants for grinding, depressants for slurry adjustment and combination depressants). Each section summarizes the relevant depression mechanisms and analyzes the advantages and disadvantages of various reagents, providing a reference for designing depressants specifically targeting serpentine.
Extended Interfacial Charge Transference in CoFe2O4/WO3 Nanocomposites for the Photocatalytic Degradation of Tetracycline Antibiotics
Authors: Dong Suiying , Dai Jiafu , Yang Ying , Zada Amir , Qi Kezhen
Published: September 2024

The large-scale utilization of antibiotics has opened a separate chapter of pollution with the generation of reactive drug-resistant bacteria. To deal with this, in this work, different mass ratios of CoFe2O4/WO3 nanocomposites were prepared following an in situ growth method using the precursors of WO3 and CoFe2O4. The structure, morphology, and optical properties of the nanocomposite photocatalysts were scrutinized by X-ray diffraction (XRD), UV-visible diffuse reflectance spectra (UV-Vis DRS), photoluminescence spectrum (PL), etc. The experimental data signified that the loading of CoFe2O4 obviously changed the optical properties of WO3. The photocatalytic performance of CoFe2O4/WO3 composites was investigated by considering tetracycline as a potential pollutant. The outcome of the analyzed data exposed that the CoFe2O4/WO3 composite with a mass ratio of 5% had the best degradation performance for tetracycline eradication under the solar light, and a degradation efficiency of 77% was achieved in 20 min. The monitored degradation efficiency of the optimized photocatalyst was 45% higher compared with the degradation efficiency of 32% for pure WO3. Capturing experiments and tests revealed that hydroxyl radical (·OH) and hole (h+) were the primary eradicators of the target pollutant. This study demonstrates that a proper mass of CoFe2O4 can significantly push WO3 for enhanced eradication of waterborne pollutants.
Design and Optimization of Nanoporous Materials as Catalysts for Oxygen Evolution Reaction—A Review
Authors: Cao Zhen , Zhang Wenbin , Zhou Tingting , Yan Wenhui , Wang Kaili
Published: September 2024

With the growing demand for new energy sources, electrochemical water splitting for hydrogen production is a technology that must be vigorously promoted. Therefore, to improve the efficiency of the oxygen evolution reaction (OER) at the anode, high-performance OER catalysts are essential. Given their advantages in electrocatalysis, nanoporous materials have garnered considerable attention in previous studies for OER applications. This review provides a comprehensive overview of various strategies to optimize active site utilization in nanoporous materials. These strategies include regulating pore size and porosity, constructing hierarchical nanoporous structures, and enhancing material conductivity. Additionally, it covers approaches to boost the intrinsic OER activity of nanoporous materials, such as tuning the composition of anions and cations, creating vacancies, constructing interfaces, and forming boundary active sites. While nanoporous materials offer significant potential for advancing OER, challenges remain, including difficulties in quantifying activity within nanopores, the unclear impact of nanoporous material morphology, challenges in accessing nanopore interiors with in situ techniques, and a lack of theoretical calculations on pore structure. However, these challenges also present opportunities, and we hope this review provides a fresh perspective to inspire future research.
Gold/DNA-Cu2+ Complex Nanozyme-Based Aptamer Lateral Flow Assay for Highly Sensitive Detection of Kanamycin
Authors: Li Xiuping , Chang Rui , Tai Shengmei , Mao Minxin , Peng Chifang
Published: September 2024

Aptamer-based lateral flow analysis (Apt-LFAs) has promising applications in many fields. Nanozymes have demonstrated high potential in improving the performance of Apt-LFAs and have been increasingly utilized in recent studies. In this study, we developed a nanozyme-based Apt-LFA for the rapid and sensitive detection of kanamycin by using a novel dual-functionalized AuNPs@polyA-DNA/GpG-Cu2+ nanozyme as a nanoprobe. In the nanoprobe design, the polyA-cDNA strand can discriminate a kanamycin aptamer from the kanamycin/aptamer complex, and the GpG-Cu2+ complex can amplify the detection signal by catalyzing the chromogenic reaction. The nanozyme Apt-LFA can quantify kanamycin in the range of 1–250 ng/mL with an LOD of 0.08 ng/mL, which demonstrated a 4-fold sensitivity improvement and had a wider linear range than the conventional AuNP-based LFA. The Apt-LFA was successfully applied to the detection of kanamycin in honey with good recoveries. Our dual-functionalized AuNP nanoprobe is easily prepared and can be highly compatible with the conventional AuNP-DNA-based LFA platform; thus, it can be extended to the application of Apt-LFAs for other small molecules.
Molecular Dynamics Simulation of Membrane Distillation for Different Salt Solutions in Nanopores
Authors: Li Jiadong , Ding Yuanhe , Qin Jinyi , Zhu Chuanyong , Gong Liang
Published: September 2024

Nanoporous membranes offer significant advantages in direct contact membrane distillation applications due to their high flux and strong resistance to wetting. This study employs molecular dynamics simulations to explore the performance of membrane distillation in a single nanopore, mainly focusing on wetting behavior, liquid entry pressure, and membrane flux variations across different concentrations and types of salt solutions. The findings indicate that increasing the NaCl concentration enhances the wetting of membrane pores, thereby decreasing the entry pressure of the solution. However, at the same salt concentration, the differences in wetting and liquid entry pressure among various salts, including CaCl2, KCl, NaCl, and LiCl, are minimal. The presence of hydrated ions significantly reduces membrane flux. As the concentration of NaCl solutions increases, the number of hydrated ions rises, thereby lowering the membrane flux of the salt solution. Furthermore, the type of salt has a pronounced effect on the structure of hydrated ions. Solutions with Ca2+ and Li+ exhibit the smallest first-layer radius of hydrated ions. Under the same salt concentration, KCl solutions demonstrate the highest membrane distillation flux, while CaCl2 solutions show the lowest flux.
Innovative Peptide Bioconjugation Chemistry with Radionuclides: Beyond Classical Click Chemistry
Authors: Leier Samantha , Wuest Frank
Published: September 2024

Background: The incorporation of radionuclides into peptides and larger biomolecules requires efficient and sometimes biorthogonal reaction conditions, to which click chemistry provides a convenient approach. Methods: Traditionally, click-based radiolabeling techniques have focused on classical click chemistry, such as copper(I)-catalyzed alkyne-azide [3+2] cycloaddition (CuAAC), strain-promoted azide-alkyne [3+2] cycloaddition (SPAAC), traceless Staudinger ligation, and inverse electron demand Diels–Alder (IEDDA). Results: However, newly emerging click-based radiolabeling techniques, including tyrosine-click, sulfo-click, sulfur(VI) fluoride exchange (SuFEx), thiol-ene click, azo coupling, hydrazone formations, oxime formations, and RIKEN click offer valuable alternatives to classical click chemistry. Conclusions: This review will discuss the applications of these techniques in peptide radiochemistry.
A Selective Nuclear Factor-κB Inhibitor, JSH-23, Exhibits Antidepressant-like Effects and Reduces Brain Inflammation in Rats
Authors: Nassar Ahmad , Kaplanski Jacob , Azab Abed N.
Published: September 2024

Background: Accumulating evidence suggests that nuclear factor (NF)-κB is involved in the pathophysiology of mood disorders. Objectives and Methods: We conducted two experimental protocols in rats to investigate the effects of a selective NF-κB inhibitor (JSH-23) on (i) lipopolysaccharide (LPS)-induced inflammation and (ii) on behavioral phenotypes in rat models of depression (sucrose consumption test and forced swim test) and mania (amphetamine-induced hyperactivity test). Additionally, we tested the effects of JSH-23 on levels of inflammatory components (interleukin-6, prostaglandin E2, nuclear phospho-p65, and tumor necrosis factor-α) in the brain. Results: Acute treatment with JSH-23 (10 mg/kg, intraperitoneally [ip]) led to potent anti-inflammatory effects in LPS-treated rats, including a diminished hypothermic response to LPS and a reduction in pro-inflammatory mediators’ levels in the brain. Chronic treatment with JSH-23 (3 mg/kg, ip, once daily, for 14 days) resulted in robust antidepressant-like effects (increased sucrose consumption and decreased immobility time). The antidepressant-like effects of JSH-23 were mostly accompanied by a reduction in levels of pro-inflammatory mediators in the brain. On the other hand, JSH-23 did not reduce amphetamine-induced hyperactivity. Conclusions: Altogether, these data suggest that NF-κB may be a potential therapeutic target for pharmacological interventions for depression.
Topical Application of Centella asiatica in Wound Healing: Recent Insights into Mechanisms and Clinical Efficacy
Authors: Witkowska Katarzyna , Paczkowska-Walendowska Magdalena , Garbiec Ewa , Cielecka-Piontek Judyta
Published: September 2024

Centella asiatica, widely known as Gotu kola, is a traditional herb celebrated for its benefits in skin health and wound healing. Recent research has provided new insights into its efficacy, particularly through topical applications. This review highlights the plant’s mechanisms, focusing on its active compounds such as asiaticoside, madecassoside, asiatic acid, and madecassic acid, which enhance collagen synthesis, modulate inflammation, and offer antioxidant protection. Clinical trials have been collected and summarized that innovative delivery systems, such as hydrogels, nanostructures or microneedles, can accelerate wound healing, reduce wound size, and improve recovery times in various wound types, including diabetic ulcers and burns. Future research will likely refine these technologies and explore new applications, reinforcing the role of C. asiatica in contemporary wound care. Advances in formulation and delivery will continue to enhance the plant’s therapeutic potential, offering promising solutions for effective wound management.
Comparative Plastomics of Plantains (Plantago, Plantaginaceae) as a Tool for the Development of Species-Specific DNA Barcodes
Authors: Mehmood Furrukh , Li Mingai , Bertolli Alessio , Prosser Filippo , Varotto Claudio
Published: September 2024

Plantago (plantains, Plantaginaceae) is a cosmopolitan genus including over 250 species used as functional foods, forage, and traditional medicine. Among them, Plantago lanceolata is commonly used as an ingredient of herbal products, but the close similarity to other Plantago species can cause misidentifications with potentially serious consequences for product safety/quality. To test the possibility of developing species-specific barcoding markers, we de novo assembled plastome sequences of individuals of Plantago argentea, Plantago atrata, P. lanceolata, and Plantago maritima. These genomes were characterized in comparison with both previously sequenced conspecific accessions and other publicly available plastomes, thus providing an assessment of both intraspecific and interspecific genetic variation in Plantago plastomes. Additionally, molecular evolutionary analyses indicated that eleven protein-coding genes involved in different plastid functions in Plantago plastomes underwent positive selection, suggesting they might have contributed to enhancing species’ adaptation during the evolutionary history of Plantago. While the most variable mutational hotspots in Plantago plastomes were not suitable for the development of species-specific molecular markers, species-specific polymorphisms could discriminate P. lanceolata from its closest relatives. Taken together, these results highlight the potential of plastome sequencing for the development of molecular markers to improve the identification of species with relevance in herbal products.
Pomological and Molecular Characterization of Apple Cultivars in the German Fruit Genebank
Authors: Broschewitz Lea , Reim Stefanie , Flachowsky Henryk , Höfer Monika
Published: September 2024

Traditional varieties are a valuable tool in modern apple breeding. However, the use of synonyms and missing source documentation hinder an effective identification and conservation of relevant cultivars. During several projects, the authenticity and diversity of the apple cultivar collection of the German Fruit Genebank (GFG) was evaluated extensively. The trueness-to-type of 7890 apple trees was assessed on a pomological and molecular level. Pomological evaluations were performed by at least two experienced experts to identify the original cultivar names. On the molecular level, a set of 17 SSR markers was used to determine a unique genetic profile for each apple cultivar. The pomological and molecular characterization was expressed in terms of a comprehensive trueness-to-type criterion and the results were previously published as a well-curated dataset. In this study, the published dataset was analyzed to evaluate the quality and diversity of the apple collection of the GFG and highlight new findings based on phylogenetic and parentage analysis. The dataset contains 1404 unique genetic profiles corresponding to unambiguous cultivar names. Of these 1404 cultivars, 74% were assessed as true-to-type. The collection of diploid apple cultivars showed a high degree of expected heterozygosity (Hexp = 0.84). Genetic diversity in terms of year and location of origin was investigated with a STRUCTURE analysis. It was hypothesized that genetic diversity might decline overtime due to restrictive breeding programs. The results showed a shift dynamic between older and newer cultivars in one specific cluster, but no significant decrease in genetic diversity was observed in this study. Lastly, a parentage analysis was performed to check parental relationships based on historical research. Out of 128 parent–child trios, 110 trios resulted in significant relationships and reconfirmed the information from the literature. In some cases, the information from the literature was disproven. This analysis also allowed for readjusting the trueness-to-type criteria for previously undetermined cultivars. Overall, the importance of authenticity evaluations for gene bank cultivars was highlighted. Furthermore, the direct use of the dataset was shown by relevant investigations on the genetic diversity and structure of the apple cultivar collections of the GFG.
Scaling-Up for the Counter-Rotating Twin Screw Extrusion of Polymers
Authors: Nastaj Andrzej , Wilczyński Krzysztof
Published: September 2024

A novel and original computer scaling-up system for the counter-rotating twin screw extrusion of polymers was developed. In the system, each scaling parameter (scaling criterion) may be considered as an objective function to be minimized for the single parameters or the functional relationships along the length of the screw. Scaling was based on the process simulation, which was performed using the comprehensive (or global) counter-rotating twin screw extrusion program called TSEM (Twin Screw Extrusion Model). The extrusion process was scaled by applying GASESTWIN (Genetic Algorithms Screw Extrusion Scaling) software developed for this purpose using genetic algorithms. Scaling up the extrusion process was carried out to enhance extrusion process throughput according to the scaling criteria specified by the single quantities of polymer melt temperature at the die exit and relative melting length, and by distributions along the screw length of the extrusion parameters of the polymer melt temperature and polymer plasticating. The global objective function had the lowest value for the selected extrusion parameters, which means the minimal differences between the values of the scaled-up processes and extrusion throughput was significantly increased. The solution to the problem of scaling the counter-rotating process presented in this paper complements the existing solutions for optimizing and scaling basic variants of the extrusion process, i.e., flood-fed and starve (metered)-fed single-screw extrusion, as well as co-rotating and counter-rotating twin-screw extrusion.
Compression Molding of Low-Density Polyethylene Matrix/Glass-Fiber-Reinforced Thick Laminates
Authors: Quadrini Fabrizio , Patrizii Giorgio , Proietti Alice , Iorio Leandro , Bellisario Denise , Santo Loredana
Published: September 2024

Thermoplastic fiberglass was compression molded in the form of thick panels with a nominal thickness of 10 mm and a size of 300 × 300 mm2. A simplified procedure was adopted to speed up the lamination procedure and adapt it to the aim of recycling waste, glass fibers, fabrics, and thermoplastic films. Low density polyethylene was used as a matrix to simplify the laboratory process, but the same procedure can be extended to other thermoplastic film, such as polyamide. The final thermoplastic composite shows unique properties in terms of its repairability, and its performance was improved by increasing the number of repairing repetitions. For this aim, a repairability test was designed in the bending configuration, and three consecutive cycles of bending/repairing/bending were carried out. The static mechanical properties of the final thermoplastic composite were, conversely, low in comparison with traditional fiberglass because of the choice of a polyethylene matrix. The bending tests showed that the maximum strength was lower than 10 MPa and the elastic modulus was less than 1 GPa. Nevertheless, the toughness of the thermoplastic composite was high, and the samples continued to deform under bending without splitting into two halves.
Protein Extraction Methods Suitable for Muscle Tissue Proteomic Analysis
Authors: Vantaggiato Lorenza , Landi Claudia , Shaba Enxhi , Rossi Daniela , Sorrentino Vincenzo , Bini Luca
Published: September 2024

Muscle tissue is one of the most dynamic and plastic tissues of the mammalian body and covers different roles, such as force generation and metabolic control. Muscular proteomics provides an important opportunity to reveal the molecular mechanisms behind muscle pathophysiology. To ensure successful proteomic analysis, it is necessary to have an efficient and reproducible protein extraction method. This study aimed to evaluate the efficacy of two different extraction protocols of muscle samples for two-dimensional gel electrophoresis. In particular, mouse muscle proteins were extracted by an SDS-based buffer (Method A) and by a UREA/CHAPS/DTE/TRIS solution (Method B). The efficacies of the methods were assessed by performing an image analysis of the 2DE gels and by statistical and multivariate analyses. The 2DE gels in both preparations showed good resolution and good spot overlapping. Methods A and B produced 2DE gels with different means of total spots, higher for B. Image analysis showed different patterns of protein abundance between the protocols. The results showed that the two methods extract and solubilize proteins with different chemical–physical characteristics and different cellular localizations. These results attest the efficacy and reproducibility of both protein extraction methods, which can be parallelly applied for comprehensive proteomic profiling of muscle tissue.
Navigating the Digital Public Sphere: An AI-Driven Analysis of Interaction Dynamics across Societal Domains
Authors: Schmank Jasmin , Buchkremer Rüdiger
Published: September 2024

The increasingly digital nature of modern societies necessitates continually examining how individuals interact in the public sphere. This systematic literature review comprehensively analyzes emerging research on public interaction across diverse contexts. By employing an innovative method of applying artificial intelligence on a large-scale academic corpus, we systematically identified and categorized eight major research clusters: social media and public discourse; public Governance in health and education; urban environments and data systems; group interaction dynamics; complex systems modeling; human-display interfaces; political processes; and public service design. Sub-topic mapping revealed key themes such as digital civic engagement, transport sustainability, behavioral dynamics, and socio-environmental impacts. Our interdisciplinary synthesis highlights public interaction as a multifaceted phenomenon intertwined with technological change, policy decisions, environmental factors, and social constructs. These insights underscore the need for holistic, cross-disciplinary approaches to navigate the challenges and opportunities of public interaction in our rapidly evolving digital age. This review provides a unified knowledge base to guide future research while informing decision-makers on cultivating participatory, adaptive, and sustainable public spheres.
Regulation of Cell Viability, p53 Promoter Activity, and Expression of Interleukin-8, Matrixmetalloproteinase-1 and Tissue Inhibitor of Matrixmetalloproteinase-1 in Non-Irradiated or UV-Irradiated Fibroblasts and Melanoma Cells
Authors: Philips Neena , Pena Jonathan , Almeshni Nadyeh , Gonzalez Salvador
Published: September 2024

Glucocorticoids are the mainstay treatments for diverse pathologies. Ultraviolet (UV) radiation is a risk factor for alterations in the skin, including cell viability (skin thickness), mediators of angiogenesis (blood flow/inflammation), and remodeling of the extracellular matrix (skin integrity). We examined the effects of hydrocortisone on cell viability, p53 promoter activity, and expression of interleukin-8 (IL-8), matrixmetalloproteinase-1 (MMP-1), and tissue inhibitor of matrixmetalloproteinase-1 (TIMP-1) in non-irradiated, UVA-radiated, and UVB-irradiated dermal fibroblasts and melanoma cells. Hydrocortisone inhibited cell viability by stimulating p53 promoter activity in fibroblasts, but not in melanoma cells, which instead showed a decrease in p53 promoter activity in non-irradiated and UVA-irradiated cells. Hydrocortisone inhibited the IL-8 protein levels in non-irradiated and UV-irradiated fibroblasts, and in the non-irradiated melanoma cells, by post-transcriptional mechanisms. Hydrocortisone increased the MMP-1 to TIMP-1 ratio in non-irradiated and UVB-irradiated fibroblasts by inhibiting TIMP-1, and in melanoma cells by inhibiting TIMP-1 in non-irradiated cells and stimulating MMP-1 in UV-irradiated cells. It may be inferred that hydrocortisone has the potential to cause skin thinning by inhibiting cell viability, angiogenesis, and deposition of structural ECM by fibroblasts, regardless of UV exposure, and facilitating UV-exposed melanoma cells by increasing MMP-1 expression.
Enhancing Solar Plant Efficiency: A Review of Vision-Based Monitoring and Fault Detection Techniques
Authors: Polymeropoulos Ioannis , Bezyrgiannidis Stavros , Vrochidou Eleni , Papakostas George A.
Published: September 2024

Over the last decades, environmental awareness has provoked scientific interest in green energy, produced, among others, from solar sources. However, for the efficient operation and longevity of green solar plants, regular inspection and maintenance are required. This work aims to review vision-based monitoring techniques for the fault detection of photovoltaic (PV) plants, i.e., solar panels. Practical implications of such systems include timely fault identification based on data-driven insights and problem resolution, resulting in enhanced energy outputs, extended lifetime spans for PV panels, cost savings, as well as safe and scalable inspections. Details regarding the main components of PV systems, operation principles and key non-destructive fault detection technologies are included. Advancements in unmanned aerial vehicles (UAVs), as well as in artificial intelligence (AI), machine learning (ML) and deep learning (DL) methods, offering enhanced monitoring opportunities, are in focus. A comparative analysis and an overall evaluation of state-of-the-art vision-based methods for detecting specific types of defects on PVs is conducted. The current performance and failures of vision-based algorithms for solar panel fault detection are identified, raising their capabilities, limitations and research gaps, towards effectively guiding future research. The results indicate that shading anomalies significantly impact the performance of PV units, while the top five fault detection methodologies, according to preset evaluation criteria, involve deep learning methods, such as CNNs and YOLO variations.