bluuebunny/crossref_metadata_2025 huggingface dataset:
Single Mutations in Cytochrome P450 Oxidoreductase Can Alter the Specificity of Human Cytochrome P450 1A2-Mediated Caffeine Metabolism
Authors: Esteves Francisco , Almeida Cristina M. M. , Silva Sofia , Saldanha Inês , Urban Philippe , Rueff José , Pompon Denis , Truan Gilles , Kranendonk Michel
Published: July 2023

A unique cytochrome P450 (CYP) oxidoreductase (CPR) sustains activities of human microsomal CYPs. Its function requires toggling between a closed conformation enabling electron transfers from NADPH to FAD and then FMN cofactors and open conformations forming complexes and transferring electrons to CYPs. We previously demonstrated that distinct features of the hinge region linking the FAD and FMN domain (FD) modulate conformer poses and their interactions with CYPs. Specific FD residues contribute in a CYP isoform-dependent manner to the recognition and electron transfer mechanisms that are additionally modulated by the structure of CYP-bound substrate. To obtain insights into the underlying mechanisms, we analyzed how hinge region and FD mutations influence CYP1A2-mediated caffeine metabolism. Activities, metabolite profiles, regiospecificity and coupling efficiencies were evaluated in regard to the structural features and molecular dynamics of complexes bearing alternate substrate poses at the CYP active site. Studies reveal that FD variants not only modulate CYP activities but surprisingly the regiospecificity of reactions. Computational approaches evidenced that the considered mutations are generally in close contact with residues at the FD–CYP interface, exhibiting induced fits during complexation and modified dynamics depending on caffeine presence and orientation. It was concluded that dynamic coupling between FD mutations, the complex interface and CYP active site exist consistently with the observed regiospecific alterations.
Counteracting Immunosenescence—Which Therapeutic Strategies Are Promising?
Authors: Hieber Christoph , Grabbe Stephan , Bros Matthias
Published: July 2023

Aging attenuates the overall responsiveness of the immune system to eradicate pathogens. The increased production of pro-inflammatory cytokines by innate immune cells under basal conditions, termed inflammaging, contributes to impaired innate immune responsiveness towards pathogen-mediated stimulation and limits antigen-presenting activity. Adaptive immune responses are attenuated as well due to lowered numbers of naïve lymphocytes and their impaired responsiveness towards antigen-specific stimulation. Additionally, the numbers of immunoregulatory cell types, comprising regulatory T cells and myeloid-derived suppressor cells, that inhibit the activity of innate and adaptive immune cells are elevated. This review aims to summarize our knowledge on the cellular and molecular causes of immunosenescence while also taking into account senescence effects that constitute immune evasion mechanisms in the case of chronic viral infections and cancer. For tumor therapy numerous nanoformulated drugs have been developed to overcome poor solubility of compounds and to enable cell-directed delivery in order to restore immune functions, e.g., by addressing dysregulated signaling pathways. Further, nanovaccines which efficiently address antigen-presenting cells to mount sustained anti-tumor immune responses have been clinically evaluated. Further, senolytics that selectively deplete senescent cells are being tested in a number of clinical trials. Here we discuss the potential use of such drugs to improve anti-aging therapy.
Identifying Patients with Polycythemia Vera at Risk of Thrombosis after Hydroxyurea Initiation: The Polycythemia Vera—Advanced Integrated Models (PV-AIM) Project
Authors: Verstovsek Srdan , Krečak Ivan , Heidel Florian H. , De Stefano Valerio , Bryan Kenneth , Zuurman Mike W. , Zaiac Michael , Morelli Mara , Smyth Aoife , Redondo Santiago , Bigan Erwan , Ruhl Michael , Meier Christoph , Beffy Magali , Kiladjian Jean-Jacques
Published: July 2023

Patients with polycythemia vera (PV) are at significant risk of thromboembolic events (TE). The PV-AIM study used the Optum® de-identified Electronic Health Record dataset and machine learning to identify markers of TE in a real-world population. Data for 82,960 patients with PV were extracted: 3852 patients were treated with hydroxyurea (HU) only, while 130 patients were treated with HU and then changed to ruxolitinib (HU-ruxolitinib). For HU-alone patients, the annualized incidence rates (IR; per 100 patients) decreased from 8.7 (before HU) to 5.6 (during HU) but increased markedly to 10.5 (continuing HU). Whereas for HU-ruxolitinib patients, the IR decreased from 10.8 (before HU) to 8.4 (during HU) and was maintained at 8.3 (after switching to ruxolitinib). To better understand markers associated with TE risk, we built a machine-learning model for HU-alone patients and validated it using an independent dataset. The model identified lymphocyte percentage (LYP), neutrophil percentage (NEP), and red cell distribution width (RDW) as key markers of TE risk, and optimal thresholds for these markers were established, from which a decision tree was derived. Using these widely used laboratory markers, the decision tree could be used to identify patients at high risk for TE, facilitate treatment decisions, and optimize patient management.
Novel Highly Efficient Antibacterial Chitosan-Based Films
Authors: Khubiev Omar M. , Egorov Anton R. , Lobanov Nikolai N. , Fortalnova Elena A. , Kirichuk Anatoly A. , Tskhovrebov Alexander G. , Kritchenkov Andreii S.
Published: July 2023

In this study, we elaborated new chitosan-based films reinforced by iron(III)-containing chitosan nanoparticles Fe(III)-CS-NPs at different concentrations. We found that the optimum concentration of Fe(III)-CS-NPs for the improvement of antibacterial and mechanical properties of the films was 10% (σb = ca. 8.8 N/mm2, εb = ca. 41%, inhibition zone for S. aureus = ca. 16.8 mm and for E. coli = ca. 11.2 mm). Also, using the click-chemistry approach (thiol–ene reaction), we have synthesized a novel water-soluble cationic derivative of chitin. The addition of this derivative of chitin to the chitosan polymer matrix of the elaborated film significantly improved its mechanical (σb = ca. 11.6 N/mm2, εb = ca. 75%) and antimicrobial (inhibition zone for S. aureus = ca. 19.6 mm and for E. coli = ca. 14.2 mm) properties. The key mechanism of the antibacterial action of the obtained films is the disruption of the membranes of bacterial cells. The elaborated antibacterial films are of interest for potential biomedical and food applications.
Life Cycle Assessment from Cradle-to-Handover Approach to Greenhouse Gas Emissions Mitigation: Carbon Storage in Timber Buildings
Authors: Di Ruocco Giacomo , Gaita Angela
Published: July 2023

The issue of environmental sustainability is increasingly topical, and one of the most impactful sectors is the construction industry. As stated in the GlobalABC reports, the building sector is the main sector responsible for GHG emissions, generating about 37% of global CO2e emissions. Already during the phases of production and construction of buildings, about 10% of global emissions are produced, while the remaining part comes from using energy for air conditioning and lighting. Reducing emissions in buildings’ pre-use phase is a crucial issue for fighting climate change. This research investigates the potential of timber construction systems due to the carbon storage property of the material. The proposed calculation methodology is structured according to the Life Cycle Assessment (LCA) approach, referring to the C2H phase (from Cradle-to-Handover), and evaluates emissions related to buildings production and construction. In order to identify the timber construction system that minimizes CO2e emissions, the method was applied within the limits of the investigation (A1–A5 phases) to two buildings built with different technologies: an X-Lam panel and a framed structured building. The results were analyzed, compared, and discussed to demonstrate that timber buildings will be the most virtuous solution in the Net Zero Carbon perspective by 2050.
Experimental and Numerical Study of UHPFRC Continuous Deep Beams with Openings
Authors: Yousef Ahmed M. , Tahwia Ahmed M. , Al-Enezi Meshal S.
Published: July 2023

To study the performance of UHPFRC continuous deep beams with openings, experimental and numerical investigations have been carried out. The test program included seven continuous deep beams with openings, in addition to one similar solid beam. The variables were the ratio of transverse reinforcement and the position, height, and width of the opening. The results showed that the failure mode of UHPFRC two-span continuous deep beams depends mainly on the position and size of the opening in the shear span. The shear failure occurs in the diagonal strut between the support and the applied force through the opening edges. The maximum spacing between stirrups (sv,max) of ACI 318-2019 was not suitable for UHPFRC. Providing stirrups with spacing 129% greater than sv,max of ACI 318-2019 had a slight effect on the failure load. Web openings of 20% of beam height reduced the failure load by 31.6% to 43.0% compared with a similar solid beam. For specimens with the same opening height and position, increasing the width of the opening by about 75% more than that of a similar beam reduced the failure load by about 27.8%. The proposed 3-D numerical model successfully predicted the failure load and performance of UHPFRC continuous deep beams.
Hybrid Vibration Control of Hospital Buildings against Earthquake Excitations Using Unbonded Fiber-Reinforced Elastomeric Isolator and Tuned Mass Damper
Authors: Banerjee Sarranya , Matsagar Vasant
Published: July 2023

Lifeline structures such as hospital buildings need to be specifically designed such that they experience reduced vibrations when subjected to earthquake excitations because it will be difficult to vacate hospital buildings under the event of any earthquake. Therefore, to ensure operational condition under earthquake excitations in an existing hospital building, the present study utilizes flexible unbonded fiber-reinforced elastomeric isolators (UFREIs) for its seismic isolation. The UFREI-based isolation system is designed to restrict the structural acceleration within the tolerable limits for the building inhabitants even during earthquake hazards. However, the use of such flexible isolators results in excessively large bearing displacements, which either may not be practical and/or pose several serviceability issues. Therefore, tuned mass damper (TMD) is attached to the base floor of the UFREI-isolated hospital building to reduce the large isolator displacements. Properties of the hybrid vibration control system are designed according to the site-specific scenario in New Delhi, India. Further, nonlinear time-history analyses of the UFREI-isolated hospital building with the TMD are carried out, and responses are compared with its uncontrolled response. Results show that the peak bearing displacement response of the UFREI-isolated hospital building is reduced by 9% to 27%, due to the addition of the TMD. Importantly, the required design displacement of the UFREI-based isolation system is decreased by 27%, without compromising the effectiveness of base isolation. In fact, the performance of the hybrid vibration control system is superior to the base isolation system alone.
Preliminary Study on the Damping Effect of a Rotational Inertia Particle Damper Considering the Explosion Response of Continuous Concrete Bridges
Authors: Xie Mengfei , Xu Weibing , Wang Jin , Chen Yanjiang , Zhou Daxing , Hou Liqun , Yan Qiushi
Published: July 2023

The possibility of blast impact loads acting on bridge structures is gradually increasing. The local and entire explosion response law of a concrete box girder bridge is still unclear, and anti-explode devices for reducing the entire explosion response of a bridge are scarce. In this study, a rotational inertia particle damper (R-IPD) and a 1:4 scale model of a typical three-span continuous-girder bridge were designed and manufactured. Subsequently, an explosion test of the bridge model with and without R-IPDs was conducted. The results showed that the local dynamic response (LDR) of the bridge model was more likely to occur under an explosion load. The local overpressure, strain, and acceleration responses of the box girder near the explosion centre were more significant than those at other locations or of other components. Moreover, the LDR of the box girder was similar in the middle and side spans. As the explosive equivalent (EE) increased, the entire displacement response (EDR) of the model bridge increased. Under the same EE conditions, a larger span suffered a larger EDR. After the R-IPD installation, the EDR of the bridge model decreased. Furthermore, the damping effect of the R-IPDs on the EDR of the bridge model increased with an increase in the EE, and the maximum vibration reduction rate was up to 12%. However, the damping effect of the R-IPDs on the LDR of the model bridge was not obvious. The damping effect of the R-IPDs depended on the relative displacement between the two ends of the damper and exhibited obvious hysteresis.
Mechanical Behaviors of Inter-Module Connections and Assembled Joints in Modular Steel Buildings: A Comprehensive Review
Authors: Yang Chen , Xu Bo , Xia Junwu , Chang Hongfei , Chen Xiaomiao , Ma Renwei
Published: July 2023

Modular steel buildings offer the advantages of time-saving construction, reduced on-site work, and less resource waste. The mechanical behavior of modular connections is complex, depending on the type of connecting method and the load-transferring path. The aim of this paper is to offer an overview of the methods for creating inter-module connections. First, we discuss the existing inter-module connections, including vertical connections, horizontal connections, and module-to-concrete-core-wall connections. Then, the mechanical performance and simplified models of the inter-module connections are reviewed in detail; these have a significant influence on the development of modular steel buildings. Finally, the prospects of module-to-module connection are summarized. Despite the increasing amount of research that explores module-to-module connections, fully modular buildings have not yet been achieved, hindering the further development and use of modular steel buildings. In this context, self-locking connections and laminated double-beam connections are proposed, with the aim of promoting the increased use of modular steel buildings.
Towards a Multilevel Framework of Teamwork Processes Affecting Construction Safety Outcomes
Authors: Yin Qin , Obonyo Esther , Asadi Somayeh
Published: July 2023

The construction industry has one of the highest fatality and injury rates, highlighting the urgent need for research to reduce work-related injuries and fatalities. Given the complex nature of construction teams operating at different project levels, teamwork processes are crucial for ensuring construction safety. However, a comprehensive examination of teamwork processes concerning construction safety is lacking. Contemporary construction literature has a primary focus on a few key team-level factors. This study addresses this research gap by conducting a more holistic literature review, benchmarking knowledge from other industries, and proposing a framework specific to construction safety. The proposed framework integrates insights from team science and construction safety science, taking into consideration the industry’s complex team structure and dynamic nature. This study contributes to the improvement of safety outcomes in the construction industry by enhancing the understanding of teamwork processes’ impact on construction safety. The findings have practical implications for enhancing safety performance and reducing injuries and fatalities among construction workers.
Assessment of the Role of Leptin and Adiponectinas Biomarkers in Pancreatic Neuroendocrine Neoplasms
Authors: Bocian-Jastrzębska Agnes , Malczewska-Herman Anna , Rosiek Violetta , Kos-Kudła Beata
Published: July 2023

Data on the possible connection between circulating adipokines and PanNENs are limited. This novel study aimed to assess the serum levels of leptin and adiponectin and their ratio in patients with PanNENs and to evaluate the possible relationship between them and PanNEN’s grade or stage, including the presence of metastases. The study group consisted of PanNENs (n = 83), and healthy controls (n = 39). Leptin and adiponectin measurement by an ELISA assay was undertaken in the entire cohort. The serum concentration of adiponectin was significantly higher in the control group compared to the study group (p < 0.001). The concentration of leptin and adiponectin was significantly higher in females than in males (p < 0.01). Anincreased leptin–adiponectin ratio was observed in well-differentiated PanNENs (G1) vs. moderatelydifferentiated PanNENs (G2) (p < 0.05). An increased leptin–adiponectin ratio was found in PanNENs with Ki-67 < 3% vs. Ki-67 ≥ 3% (p < 0.05). PanNENs with distal disease presented lower leptin levels (p < 0.001) and a decreased leptin–adiponectin ratio (p < 0.01) compared with the localized disease group. Leptin, adiponectin, and the leptin–adiponectin ratio may serve as potential diagnostic, prognostic, and predictive biomarkers for PanNENs. Leptin levels and the leptin–adiponectin ratio may play an important role as predictors of malignancy and metastasis in PanNENs.
Spectroscopic MRI-Based Biomarkers Predict Survival for Newly Diagnosed Glioblastoma in a Clinical Trial
Authors: Trivedi Anuradha G. , Ramesh Karthik K. , Huang Vicki , Mellon Eric A. , Barker Peter B. , Kleinberg Lawrence R. , Weinberg Brent D. , Shu Hui-Kuo G. , Shim Hyunsuk
Published: July 2023

Despite aggressive treatment, glioblastoma has a poor prognosis due to its infiltrative nature. Spectroscopic MRI-measured brain metabolites, particularly the choline to N-acetylaspartate ratio (Cho/NAA), better characterizes the extent of tumor infiltration. In a previous pilot trial (NCT03137888), brain regions with Cho/NAA ≥ 2x normal were treated with high-dose radiation for newly diagnosed glioblastoma patients. This report is a secondary analysis of that trial where spectroscopic MRI-based biomarkers are evaluated for how they correlate with progression-free and overall survival (PFS/OS). Subgroups were created within the cohort based on pre-radiation treatment (pre-RT) median cutoff volumes of residual enhancement (2.1 cc) and metabolically abnormal volumes used for treatment (19.2 cc). We generated Kaplan–Meier PFS/OS curves and compared these curves via the log-rank test between subgroups. For the subgroups stratified by metabolic abnormality, statistically significant differences were observed for PFS (p = 0.019) and OS (p = 0.020). Stratification by residual enhancement did not lead to observable differences in the OS (p = 0.373) or PFS (p = 0.286) curves. This retrospective analysis shows that patients with lower post-surgical Cho/NAA volumes had significantly superior survival outcomes, while residual enhancement, which guides high-dose radiation in standard treatment, had little significance in PFS/OS. This suggests that the infiltrating, non-enhancing component of glioblastoma is an important factor in patient outcomes and should be treated accordingly.
Cryogels from Pt/γ-Fe2O3 and Pd/γ-Fe2O3 NPs as Promising Electrocatalysts for Ethanol Oxidation Reaction
Authors: Borg Hadir , Morales Irene , Kranz Daniel , Bigall Nadja C. , Dorfs Dirk
Published: July 2023

Cryogels from noble metal NPs have proven to be highly efficient catalysts due to their high specific surface area which increases the mass transfer channels and catalytic active sites. By using metal oxides as co-catalysts, the costs of the material can be significantly reduced, while the catalytic activity can remain the same or even improve due to synergetic effects. In this work, we synthesize different cryogel thin films supported on modified ITO substrates from Pt, Pd nanoparticles (NPs), and mixtures of these noble metals with γ-Fe2O3 NPs in a very low concentration (1 wt% of the noble metal). Structural and elemental analysis of the samples are performed, along with the measurement and analysis of their catalytic activity. The electrocatalytic activity of the cryogels towards ethanol oxidation reaction (EOR) in alkaline media was evaluated by means of cyclic voltammetry. By mixing γ-Fe2O3 NPs with Pt or Pd NPs in the cryogel structure, we observe increased tolerance against poisonous surface intermediates produced during the EOR. Moreover, we observe an increase in the catalytic activity towards EOR in the case of the 1 wt% Pd/γ-Fe2O3 cryogel, making them promising materials for the development of direct ethanol fuel cells.
Sulfadiazine Elimination from Wastewater Effluents under Ozone-Based Catalysis Processes
Authors: Li Ruixue , Zhang Yanqiong , Lu Fengru , Li Feng , Xu Lijie , Gan Lu , Cui Chao , Li Xuesong , Jin Qiutong , Chu Wei , Yan Muting , Gong Han
Published: July 2023

The presence of antibiotic sulfadiazine (SFD) poses threats to the ecosystem and human health, and traditional wastewater treatment processes are not ideal for sulfadiazine removal. Therefore, it is urgent to develop treatment processes with high efficiency targeting sulfadiazine. This study investigated the degradation and mineralization mechanisms of SFD by ozone-based catalysis processes including ozone/persulfate (PS) and ozone/peroxymonosulfate (PMS). The degradation, mineralization and byproducts of SFD were monitored by HPLC, TOC and LC/MS, respectively. SFD was efficiently removed by two ozone-based catalysis processes. Ozone/PMS showed high efficiency for SFD removal of 97.5% after treatment for 1 min and TOC reduction of 29.4% after treatment for 20 min from wastewater effluents. SFD degradation was affected by pH, oxidant dosage, SFD concentration and anions. In the two ozone-based catalysis processes, hydroxyl radicals (OH•) and sulfate radicals (SO4•−) contributed to the degradation of SFD. The degradation pathways of SFD under the two processes included hydroxylation, the opening of the pyrimidine ring and SO2 extrusion. The results of this study demonstrate that the two ozone-based catalysis processes have good potential for the elimination of antibiotics from water/wastewater effluents.
LRRK2 Kinase Inhibition Attenuates Neuroinflammation and Cytotoxicity in Animal Models of Alzheimer’s and Parkinson’s Disease-Related Neuroinflammation
Authors: Mutti Veronica , Carini Giulia , Filippini Alice , Castrezzati Stefania , Giugno Lorena , Gennarelli Massimo , Russo Isabella
Published: July 2023

Chronic neuroinflammation plays a crucial role in the progression of several neurodegenerative diseases (NDDs), including Parkinson’s disease (PD) and Alzheimer’s disease (AD). Intriguingly, in the last decade, leucine-rich repeat kinase-2 (LRRK2), a gene mutated in familial and sporadic PD, was revealed as a key mediator of neuroinflammation. Therefore, the anti-inflammatory properties of LRRK2 inhibitors have started to be considered as a disease-modifying treatment for PD; however, to date, there is little evidence on the beneficial effects of targeting LRRK2-related neuroinflammation in preclinical models. In this study, we further validated LRRK2 kinase modulation as a pharmacological intervention in preclinical models of AD- and PD-related neuroinflammation. Specifically, we reported that LRRK2 kinase inhibition with MLi2 and PF-06447475 (PF) molecules attenuated neuroinflammation, gliosis and cytotoxicity in mice with intracerebral injection of Aβ1-42 fibrils or α-syn preformed fibrils (pffs). Moreover, for the first time in vivo, we showed that LRRK2 kinase activity participates in AD-related neuroinflammation and therefore might contribute to AD pathogenesis. Overall, our findings added evidence on the anti-inflammatory effects of LRRK2 kinase inhibition in preclinical models and indicate that targeting LRRK2 activity could be a disease-modifying treatment for NDDs with an inflammatory component.
Platelet Metabolic Flexibility: A Matter of Substrate and Location
Authors: Ravera Silvia , Signorello Maria Grazia , Panfoli Isabella
Published: July 2023

Platelets are cellular elements that are physiologically involved in hemostasis, inflammation, thrombotic events, and various human diseases. There is a link between the activation of platelets and their metabolism. Platelets possess considerable metabolic versatility. Although the role of platelets in hemostasis and inflammation is known, our current understanding of platelet metabolism in terms of substrate preference is limited. Platelet activation triggers an oxidative metabolism increase to sustain energy requirements better than aerobic glycolysis alone. In addition, platelets possess extra-mitochondrial oxidative phosphorylation, which could be one of the sources of chemical energy required for platelet activation. This review aims to provide an overview of flexible platelet metabolism, focusing on the role of metabolic compartmentalization in substrate preference, since the metabolic flexibility of stimulated platelets could depend on subcellular localization and functional timing. Thus, developing a detailed understanding of the link between platelet activation and metabolic changes is crucial for improving human health.
Catalytic Performances of Co/TiO2 Catalysts in the Oxidative Dehydrogenation of Ethane to Ethylene: Effect of CoTiO3 and Co2TiO4 Phase Formation
Authors: Mahir Hanane , Brik Younes , Benzaouak Abdallah , La Greca Eleonora , Consentino Luca , Kacimi Mohamed , El Hamidi Adnane , Liotta Leonarda Francesca
Published: July 2023

Co/TiO2 catalysts with different cobalt loadings (3.8, 7.5 and 15 wt%) were prepared by impregnation method of Co(NO3)2 6H2O over titania. Samples containing Co(NO3)2·6H2O and TiO2 in stoichiometric proportions in order to obtain CoTiO3 and Co2 TiO4 phases were also synthesized. The effect of the calcination treatment at two different temperatures, 550 and 1150 °C, was investigated. Characterizations by several techniques, such as XRD, UV–vis–NIR, DRS, Raman and XPS, were carried out. XRD showed the coexistence of three phases: CoTiO3; Co2TiO4 and Co3O4 after calcination at 550 °C, while calcination at high temperature (1150 °C) led to single-phase systems (CoTiO3 or Co2TiO4). Diffuse reflection and XPS spectroscopy showed that divalent cobalt occupies octahedral sites in the ilmenite phase, and both tetrahedral and octahedral sites in the spinel phase. The catalytic performances of the prepared catalysts were evaluated in the oxidative dehydrogenation reaction (ODH) of ethane to ethylene, as a function of the Co content for Co/TiO2 catalysts and as a function of the calcination temperatures for the CoTiO3 and Co2TiO4 phases. Co(7.5)/TiO2 was the most active, although the conversion of ethane decreased in the first 150 min of the reaction, reaching values comparable to those of Co2TiO4 and CoTiO3; however, Co(7.5)/TiO2 was confirmed as having the best selectivity to ethylene in comparison with the bulk phases, CoTiO3 and Co2TiO4. The influence of the reaction mixture composition, specifically the presence of water, at different percentages, was investigated. There is a decrease in the overall ethane conversion and an increase in the ethylene selectivity when the percentage of water increases. This behavior can likely be attributed to an increase in the surface concentration of hydroxyl species (OH), resulting in heightened surface acidity.
A Sensitive and Selective Non-Enzymatic Dopamine Sensor Based on Nanostructured Co3O4–Fe2O3 Heterojunctions
Authors: Khan Madiha , Abid Khouloud , Ferlazzo Angelo , Bressi Viviana , Espro Claudia , Hussain Mozaffar , Foti Antonino , Gucciardi Pietro Giuseppe , Neri Giovanni
Published: July 2023

In the present work, a study was carried out with the aim of enhancing the performance of electrochemical biosensors based on Co3O4:Fe2O3 heterojunctions. Specifically, the redox behavior of screen–printed carbon electrodes (SPCEs) modified with Co3O4:Fe2O3 (0.5 wt%:x wt%) nanocomposites, where x ranged from 0.1 to 0.5 wt%, was examined in detail. The hybrid nanocomposites were synthesized using the sol-gel auto-combustion method. Several characterization methods were performed to investigate the morphology, microstructure, and surface area of the pure Co3O4, pure Fe2O3, and the synthesized Co3O4:Fe2O3 nanocomposites. Using cyclic voltammetry (CV) tests, the electrochemical behavior of the modified electrodes toward the dopamine (DA) molecules was investigated. The modified Co3O4:Fe2O3, (0.5 wt%, x = 0.4 wt%)/SPCE resulted in a sensor with the best electrochemical performance toward DA. A high linear relationship between DA concentrations and the faradic current variation (ipa (μA) = 0.0736 + 0.1031 CDA (μA) and R2 = 0.99) was found in the range of 10–100 μM. The sensitivity value was computed to be 0.604 µA µM−1cm−2 and the limit of detection (LOD) 0.24 µM. Based on the characterization and electrochemical results, it can be suggested that the formation of Co3O4:Fe2O3 heterostructures provides a large specific surface area, an increased number of electroactive sites at the metal oxide interface and a p–n heterojunction, thus ensuring a remarkable enhancement in the electrochemical response towards DA.
Wear Mechanism of TC4 Titanium Alloy with TiN Coating against Self-Lubricating Fabric
Authors: Zhao Song , Zhang Haoran , Qi Xiaowen , Dong Yu , Zhang Yan
Published: July 2023

Vapor deposition technology can improve the surface wear resistance of titanium alloys, and prepare lightweight and corrosion-resistant self-lubricating spherical plain bearings made of titanium alloys. However, titanium alloys with hard films can be worn by soft self-lubricating fabrics. This paper focuses on the wear problem of TiN coating on the surfaces of self-lubricating spherical plain bearings based on titanium alloys. Ring-to-plate wear tests were carried out to study the tribological properties of TiN coating on TC4 titanium alloy against self-lubricating fabric under different working conditions (load: 500–2000 N and speed: 100–500 r/min), along with the investigation of the wear mechanism of TiN coating, and the evaluation of applicable working conditions of GE15 type self-lubricating spherical plain bearings through swing tests. The results have revealed that TiN coatings can maintain a certain friction distance without wear. Increasing friction speed and load can make TiN coatings more prone to wear. A thick transfer film can protect the TiN coating from wear. The main wear mechanism is attributed to fatigue wear induced by the repeated formation and peeling of transfer films. The GE15 bearing has achieved a self-lubricating fabric wear of approximately 0.04 mm when the swinging for 500 m (25,000 times) is under a specific condition of 27 kN and 0.2 Hz without damaging the inner ring of the bearing. The bearing is suitable for swing conditions with applied loads below 27 kN. This study provides a fundamental understanding of designing self-lubricating spherical plain bearings made of titanium alloys.
Experimental Study on the Effect of Shot Peening and Re-Shot Peening on the Residual Stress Distribution and Fatigue Life of 20CrMnTi
Authors: Qian Wenxue , Wang Yi , Liu Kexin , Yin Xiaowei , He Xuehong , Xie Liyang
Published: July 2023

As a surface peening technique, shot peening introduces residual compressive stresses to the surface of the part, which effectively increases the fatigue life of the structure and material. However, when structures are subjected to alternating loads, this can lead to stress relaxation on the material surface, weakening the effectiveness of the shot peening process. In addition, reasonable shot peening parameters are essential. In this paper, the effects of shot peening pressure and shot coverage on the fatigue life of materials during shot peening were investigated, followed by fatigue tests on 20CrMnTi specimens using a high-frequency fatigue testing machine to study the effects of shot peening and re-shot peening on the fatigue life of shot-peened materials after different load cycles. The results show that a reasonable shot peening pressure and coverage rate can significantly improve the fatigue life of the material, while a shot peening pressure higher than 0.4 MPa will reduce the fatigue life of the material 20CrMnTi. Coverage rates of 100% and 200% can both improve the fatigue life of the material, while a 200% coverage rate has a better strengthening effect. Re-shot peening removes the residual compressive stress relaxation on the surface of the material caused by cyclic loading and improves the fatigue life of the material. The maximum value of the residual compressive stress on the surface of the test material after shot peening is 443 MPa, and after a certain number of fatigue loads, the residual compressive stress on the surface is reduced to 203 MPa, which is subjected to secondary shot peening, and the residual compressive stress is restored to 415 MPa, and the fatigue life is significantly increased. When the second shot peening time is taken as 25% of the fatigue life of the initial shot blasting of the material, the shot peening effect is better.
Experimental Study of Laser Cladding Ni-Based Coating Based on Response Surface Method
Authors: Long Haiyang , Li Tiankai , Shi Haijiang , Gui Yongliang , Qiu Changming
Published: July 2023

In order to extend the service life of 45# steel and reduce production costs, coating NiCrBSi alloy powder on the surface of 45# steel can meet production requirements, avoid resource waste and achieve green manufacturing. Based on response surface method (RSM), the dilution rate, aspect ratio and contact angle were taken as the optimization goals, and the process parameters (laser power, scanning speed and powder feeding rate) were optimized and the optimal process parameters were determined. On this basis, the microstructure of Ni-based coating was characterized by the cladding experiment. The friction wear and corrosion resistance of the coating were tested, and the enhancement mechanism of the wear resistance and corrosion resistance of the coating was analyzed. The results show that the optimized coating has good corrosion resistance and wear resistance. It provides a reference for the optimization of process parameters in 45# steel repair work.
The Evaluation of the Crystal Structure and Magnetic Properties of Eu1.84Ce0.16CuO4+α−δ with Ni Substitution
Authors: Falhan Muhammad Fadhil , Pratama Rosaldi , Rochman Lucia Patia , Effendi Rahma Sundaya , Maryati Yati , Widyaiswari Utami , Sari Dita Puspita , Saragi Togar , Risdiana Risdiana
Published: July 2023

The addition of Ni impurities can reveal the correlation between crystal structure changes and magnetic properties and superconductivity. In this study, electron-doped cuprates with an addition of the Eu1.84Ce0.16Cu1−yNiyO4+α−δ (ECCNO) Ni impurity, with y = 0.005, 0.01, 0.02, 0.03, and 0.05 in the over-doped regime, was prepared using the solid-state reaction method. The XRD results showed that ECCNO has a T’ crystal structure, and lattice parameter c increases when parameters a and b decrease, which causes the distance between the charge reservoir and the conducting layer to become greater, thus affecting magnetic properties. From the superconducting quantum interference device’s measurement, it was observed that the magnetic properties of all samples with Ni impurities show a paramagnetic phase, indicating that the effect of Ni impurities could suppress the superconducting phase. It was observed that the Curie constant and the effective magnetic moment tended to decrease for y ≤ 0.02 and began to increase when y > 0.02. This behavior indicated that the effect of the Ni impurity weakened the dynamical Cu spin–spin correlation, which might be related to stripe correlations.
Decoupler-Based Feedback Control Strategy for Interlinking Converter in a Hybrid Microgrid
Authors: Nair Rekha P. , Ponnusamy Kanakasabapathy
Published: July 2023

In a hybrid microgrid with AC and DC subgrids, the interlinking converter (IC) is the key element connecting the two subgrids. The performance of the interlinking converter is adversely affected by the d- and q-axis impedance interaction between the inner control loops. This interaction is highly undesirable since it adversely affects both the dynamic and the steady-state performance of the IC. Based on this, a novel feedback-based decoupling strategy is developed to overcome the cross-coupling effect in the mathematical model of the interlinking converter. This is a novel concept since the feed-forward compensation techniques are utilized to address the cross-coupling effect in prior related works, which has an inherent disadvantage of additional disturbance due to the addition of the compensating terms. In this study, a complete decoupling of the d and q axes was achieved, and the first-order transfer functions were obtained for the control loops using systematic block-reduction algebra and direct synthesis approaches. With this model, computational complexities are reduced and the inner control loops are free from impedance interaction effects, thereby achieving enhanced transient stability. Perfect decoupling of the voltage vectors is achieved by the matrix diagonalization method. Furthermore, the novelty of the proposed control is that the decoupled model is integrated with a normalization-based coordinate control strategy for effective bidirectional power transfer via the interlinking converter. Additionally, the proposed controller’s validity was tested for its performance under different transients in the MATLAB Simulink platform. The simulation results validated the proposed control strategy by showing that a faster response is ensured. A high-quality reference signal is generated due to the effective decoupling achieved. This observation was also validated by comparing the T.H.D. levels of a decoupled model’s reference power signal to one without a decoupling strategy.
Correction: Kusayanagi et al. A Smartphone Application for Personalized Tooth Shade Determination. Diagnostics 2023, 13, 1969
Authors: Kusayanagi Tomoya , Maegawa Sota , Terauchi Shuya , Hashimoto Wataru , Kaneda Shohei
Published: July 2023

In the original publication [...]
A Framework for Prediction of Oncogenomic Progression Aiding Personalized Treatment of Gastric Cancer
Authors: Alotaibi Fahad M. , Khan Yaser Daanial
Published: July 2023

Mutations in genes can alter their DNA patterns, and by recognizing these mutations, many carcinomas can be diagnosed in the progression stages. The human body contains many hidden and enigmatic features that humankind has not yet fully understood. A total of 7539 neoplasm cases were reported from 1 January 2021 to 31 December 2021. Of these, 3156 were seen in males (41.9%) and 4383 (58.1%) in female patients. Several machine learning and deep learning frameworks are already implemented to detect mutations, but these techniques lack generalized datasets and need to be optimized for better results. Deep learning-based neural networks provide the computational power to calculate the complex structures of gastric carcinoma-driven gene mutations. This study proposes deep learning approaches such as long and short-term memory, gated recurrent units and bi-LSTM to help in identifying the progression of gastric carcinoma in an optimized manner. This study includes 61 carcinogenic driver genes whose mutations can cause gastric cancer. The mutation information was downloaded from intOGen.org and normal gene sequences were downloaded from asia.ensembl.org, as explained in the data collection section. The proposed deep learning models are validated using the self-consistency test (SCT), 10-fold cross-validation test (FCVT), and independent set test (IST); the IST prediction metrics of accuracy, sensitivity, specificity, MCC and AUC of LSTM, Bi-LSTM, and GRU are 97.18%, 98.35%, 96.01%, 0.94, 0.98; 99.46%, 98.93%, 100%, 0.989, 1.00; 99.46%, 98.93%, 100%, 0.989 and 1.00, respectively.
The Role of BIA Analysis in Osteoporosis Risk Development: Hierarchical Clustering Approach
Authors: Sgarro Giacinto Angelo , Grilli Luca , Valenzano Anna Antonia , Moscatelli Fiorenzo , Monacis Domenico , Toto Giusi , De Maria Antonella , Messina Giovanni , Polito Rita
Published: July 2023

Osteoporosis is a common musculoskeletal disorder among the elderly and a chronic condition which, like many other chronic conditions, requires long-term clinical management. It is caused by many factors, including lifestyle and obesity. Bioelectrical impedance analysis (BIA) is a method to estimate body composition based on a weak electric current flow through the body. The measured voltage is used to calculate body bioelectrical impedance, divided into resistance and reactance, which can be used to estimate body parameters such as total body water (TBW), fat-free mass (FFM), fat mass (FM), and muscle mass (MM). This study aims to find the tendency of osteoporosis in obese subjects, presenting a method based on hierarchical clustering, which, using BIA parameters, can group patients who show homogeneous characteristics. Grouping similar patients into clusters can be helpful in the field of medicine to identify disorders, pathologies, or more generally, characteristics of significant importance. Another added value of the clustering process is the possibility to define cluster prototypes, i.e., imaginary patients who represent models of “states”, which can be used together with clustering results to identify subjects with similar characteristics in a classification context. The results show that hierarchical clustering is a method that can be used to provide the detection of states and, consequently, supply a more personalized medicine approach. In addition, this method allowed us to elect BIA as a potential prognostic and diagnostic instrument in osteoporosis risk development.
Applying Deep Learning Model to Predict Diagnosis Code of Medical Records
Authors: Masud Jakir Hossain Bhuiyan , Kuo Chen-Cheng , Yeh Chih-Yang , Yang Hsuan-Chia , Lin Ming-Chin
Published: July 2023

The International Classification of Diseases (ICD) code is a diagnostic classification standard that is frequently used as a referencing system in healthcare and insurance. However, it takes time and effort to find and use the right diagnosis code based on a patient’s medical records. In response, deep learning (DL) methods have been developed to assist physicians in the ICD coding process. Our findings propose a deep learning model that utilized clinical notes from medical records to predict ICD-10 codes. Our research used text-based medical data from the outpatient department (OPD) of a university hospital from January to December 2016. The dataset used clinical notes from five departments, and a total of 21,953 medical records were collected. Clinical notes consisted of a subjective component, objective component, assessment, plan (SOAP) notes, diagnosis code, and a drug list. The dataset was divided into two groups: 90% for training and 10% for test cases. We applied natural language processing (NLP) technique (word embedding, Word2Vector) to process the data. A deep learning-based convolutional neural network (CNN) model was created based on the information presented above. Three metrics (precision, recall, and F-score) were used to calculate the achievement of the deep learning CNN model. Clinically acceptable results were achieved through the deep learning model for five departments (precision: 0.53–0.96; recall: 0.85–0.99; and F-score: 0.65–0.98). With a precision of 0.95, a recall of 0.99, and an F-score of 0.98, the deep learning model performed the best in the department of cardiology. Our proposed CNN model significantly improved the prediction performance for an automated ICD-10 code prediction system based on prior clinical information. This CNN model could reduce the laborious task of manual coding and could assist physicians in making a better diagnosis.
Brain-Derived Neurotrophic Factor (BDNF) and Translocator Protein (TSPO) as Diagnostic Biomarkers for Acute Ischemic Stroke
Authors: Tuwar Mayuri N. , Chen Wei-Hung , Chiwaya Arthur M. , Yeh Hsu-Ling , Nguyen Minh H. , Bai Chyi-Huey
Published: July 2023

Brain-derived neurotrophic factor (BDNF) interacts with tropomyosin-related kinase B (TrkB) to promote neuronal growth, survival, differentiation, neurotransmitter release, and synaptic plasticity. The translocator protein (TSPO) is known to be found in arterial plaques, which are a symptom of atherosclerosis and a contributory cause of ischemic stroke. This study aims to determine the diagnostic accuracy of plasma BDNF and TSPO levels in discriminating new-onset acute ischemic stroke (AIS) patients from individuals without acute ischemic stroke. A total of 90 AIS patients (61% male, with a mean age of 67.7 ± 12.88) were recruited consecutively in a stroke unit, and each patient was paired with two age- and gender-matched controls. The sensitivity, specificity, and area of the curve between high plasma BDNF and TSPO and having AIS was determined using receiver operating characteristic curves. Furthermore, compared to the controls, AIS patients exhibited significantly higher levels of BDNF and TSPO, blood pressure, HbA1c, and white blood cells, as well as higher creatinine levels. The plasma levels of BDNF and TSPO can significantly discriminate AIS patients from healthy individuals (AUC 0.76 and 0.89, respectively). However, combining the two biomarkers provided little improvement in AUC (0.90). It may be possible to use elevated levels of TSPO as a diagnostic biomarker in patients with acute ischemic stroke upon admission.
MRI-Based Radiomics in Bladder Cancer: A Systematic Review and Radiomics Quality Score Assessment
Authors: Boca Bianca , Caraiani Cosmin , Telecan Teodora , Pintican Roxana , Lebovici Andrei , Andras Iulia , Crisan Nicolae , Pavel Alexandru , Diosan Laura , Balint Zoltan , Lupsor-Platon Monica , Buruian Mircea Marian
Published: July 2023

(1): Background: With the recent introduction of vesical imaging reporting and data system (VI-RADS), magnetic resonance imaging (MRI) has become the main imaging method used for the preoperative local staging of bladder cancer (BCa). However, the VI-RADS score is subject to interobserver variability and cannot provide information about tumor cellularity. These limitations may be overcome by using a quantitative approach, such as the new emerging domain of radiomics. (2) Aim: To systematically review published studies on the use of MRI-based radiomics in bladder cancer. (3) Materials and Methods: We performed literature research using the PubMed MEDLINE, Scopus, and Web of Science databases using PRISMA principles. A total of 1092 papers that addressed the use of radiomics for BC staging, grading, and treatment response were retrieved using the keywords “bladder cancer”, “magnetic resonance imaging”, “radiomics”, and “textural analysis”. (4) Results: 26 papers met the eligibility criteria and were included in the final review. The principal applications of radiomics were preoperative tumor staging (n = 13), preoperative prediction of tumor grade or molecular correlates (n = 9), and prediction of prognosis/response to neoadjuvant therapy (n = 4). Most of the developed radiomics models included second-order features mainly derived from filtered images. These models were validated in 16 studies. The average radiomics quality score was 11.7, ranging between 8.33% and 52.77%. (5) Conclusions: MRI-based radiomics holds promise as a quantitative imaging biomarker of BCa characterization and prognosis. However, there is still need for improving the standardization of image preprocessing, feature extraction, and external validation before applying radiomics models in the clinical setting.