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In this study, we integrated an Indium Gallium Zinc Oxide (IGZO) channel with a superlattice of HfO2/ZrO2 (HZO) under low-thermal-budget microwave annealing to produce nearly wake-up-free ferroelectric capacitors. To eliminate the impact of trap-charges during the atomic layer deposition process, we conducted H2 plasma treatment to eliminate leak defects induced by carbon contamination and maintain neutrality to achieve high-quality IGZO/HZO interfaces, confirmed by x-ray photoelectron spectroscopy. The H2 plasma treatment improved polarization (Pr) and coercive field (Ec), reaching 2Pr: 40 μC/cm2 and Ec: 2.33 MV/cm, enabling a low-power writing speed of 30 ns with eight states (three bits per cell). The defect engineering method ensures endurance of up to 108 cycles and retains ten-year data storage at 90 °C. This research provides a new avenue for improving emerging oxide interfaces controlled by ferroelectric polarization. [ABSTRACT FROM AUTHOR]

Size effect is a fundamental phenomenon in ferroelectric materials and grain size dependence of the dielectric and piezoelectric properties of BaTiO3 (BTO) ceramics has been observed. However, the dependence of flexoelectric response on grain size has not been reported, thus far. In this work, BTO ceramics with grain sizes ranging from 0.59 to 8.90 μm were prepared by a two-step sintering method. We found that with increasing grain size, the flexoelectric coefficient of BTO ceramics increases from less than 20 μC/m (grain size 0.59–0.69 μm) to more than 300 μC/m (grain size 8.90 μm), but the grain size dependence of the flexoelectric response is different from that of the dielectric and piezoelectric properties. Observation by piezoresponse force microscopy reveals that the surface regions of BTO ceramics are spontaneously polarized. Strong inhomogeneous strain is measured by grazing incidence x-ray diffraction and the resultant flexoelectric effect is enough to polarize the surface regions. Fitting of the flexoelectric data indicates that the grain size effect of the flexoelectric response can be well explained by the polarized surface layer mechanism. [ABSTRACT FROM AUTHOR]

The development of photosensitizers with extended π‐conjugation and spectral matching to sunlight and fluorescent light is crucial for achieving high power conversion efficiency (PCE) in dye‐sensitized solar cells (DSSCs). This study presents a series of novel anthracene‐based photosensitizers, AMO1–AMO4. This series has been designed with bulky modified Hagfeldt donors to suppress undesired molecular aggregation, double anthracene groups for enhanced π‐conjugation, acetylene groups for improved molecular planarity, and four distinct acceptors to fine‐tune their photophysical and electrochemical properties. The performance of the novel dyes in DSSCs is investigated using two copper redox shuttles, CuI/II(dmp)2 and CuI/II(dmodmbp)2. Among the investigated dyes, AMO2 mediated with CuI/II(dmodmbp)2 exhibits the highest power conversion efficiency (PCE) of 10.05% (JSC = 13.72 mA cm 2, VOC = 1.035 V, and FF = 0.71) under sunlight illumination and an outstanding PCE of 34.64% under T5 illumination (6000 lux). These achievements underscore the remarkable potential of anthracene‐bridged sensitized DSSCs in indoor and outdoor applications. [ABSTRACT FROM AUTHOR]

Machine learning (ML) is effective to establish the complicated trilateral relationship among structures, properties, and photovoltaic performance, which is fundamental issue in developing novel materials for improving power conversion efficiency (PCE) of organic solar cells (OSCs). Herein, we constructed the database of 397 donor–acceptor pairs of OSCs with photovoltaic parameters and descriptor sets, which include donor–acceptor weight ratio within the active layer of the OSCs, root mean square of roughness, and 1024-bit Morgan molecular fingerprint for donor (Fp-D) and acceptor (Fp-A). The ML models random forest (RF), adaptive boosting (AdaBoost), extra trees regression, and gradient boosting regression trees were trained based on the descriptor set. The metrics determination coefficient (R2), Pearson correlation coefficient (r), root mean square error, and mean absolute error were selected to evaluate ML model performances. The results showed that the RF model exhibits the highest accuracy and stability for PCE prediction among these four ML models. Moreover, based on the decomposition of non-fullerene acceptors L8-BO, BTP-ec9, AQx-2, and IEICO, 20 acceptor molecules with symmetric A–D–A and A–π–D–π–A architectures were designed. The photovoltaic parameters of the designed acceptors were predicted using the trained RF model, and the virtual screening of designed acceptors was conducted based on the predicted PCE. The results indicate that six designed acceptors can reach the predicted PCE higher than 12% when P3HT was adopted as a donor. While PM6 was applied as a donor, five designed acceptors can achieve the predicted PCE higher than 16%. [ABSTRACT FROM AUTHOR]

In order to regulate work in process (WIP) to the desired value in the job shop production control system, capacity adjustment as an effective and efficient measure, which is typically achieved by flexible staffs and working time. In this paper, instead of traditional labour-oriented approaches, we consider a machinery-based capacity adjustment via reconfigurable machine tools (RMTs) to compensate for unpredictable events. To this end, we employ model predictive control (MPC) in combination with genetic algorithm (GA) to explicitly consider complex reconfiguration strategies and address the related integer assignment optimisation problems. To further reduce energy consumption and avoid frequent and unnecessary reconfigurations while keeping a certain level of performance, we adopt an event-triggered MPC scheme with the proposed 'Double-layer event-triggering conditions'. Through extensively illustrated simulations, we demonstrate the effectiveness and plug-and-play availability of the proposed method for a six-workstation four-product job shop system and compare it to a state-of-the-art method. [ABSTRACT FROM AUTHOR]

Hole‐transporting material (HTMs) are crucial for obtaining the stability and high efficiency of perovskite solar cells (PSCs). However, the current state‐of‐the‐art n‐i‐p PSCs relied on the use of 2,2′,7,7′‐tetrakis(N,N‐di‐p‐methoxyphenylamine)‐9,9′‐spirobifluorene (spiro‐OMeTAD) exhibit inferior intrinsic and ambient stability due to the p‐dopant and hydrophilic Li‐TFSI additive. In this study, a new spiro‐type HTM with a critical quasi‐planar core (Z‐W‐03) is developed to improve both the thermal and ambient stability of PSCs. The results suggest that the planar carbazole structure effectively passivates the trap states compared to the triphenylamine with a propeller‐like conformation in spiro‐OMeTAD. This passivation effect leads to the shallower trap states when the quasi‐planar HTMs interact with the Pb‐dimer. Consequently, the device using Z‐W‐03 achieves a higher Voc of 1.178 V compared to the spiro‐OMeTAD's 1.155 V, resulting in an enhanced efficiency of 24.02 %. In addition, the double‐column π–π stacking of Z‐W‐03 results in high hole mobility (~10−4 cm2 V−1 s−1) even without p‐dopant. Moreover, when the surface interface is modified, the undoped Z‐W‐03 device can achieve an efficiency of nearly 23 %. Compared to the PSCs using spiro‐OMeTAD, those with Z‐W‐03 exhibit enhanced stability under N2 and ambient conditions. This superior performance is attributed to the quasi‐planar core structure and the presence of multiple CH/π and π–π intermolecular stacking in Z‐W‐03. The multiple CH/π and π–π intermolecular contacts of HTMs can improve the hole hopping transport. Therefore, it is imperative to focus on further molecular structure design and optimization of spiro‐type HTMs incorporating quasi‐planar cores and carbazole moieties for the commercialization of PSCs. [ABSTRACT FROM AUTHOR]

Hole‐transporting material (HTMs) are crucial for obtaining the stability and high efficiency of perovskite solar cells (PSCs). However, the current state‐of‐the‐art n‐i‐p PSCs relied on the use of 2,2′,7,7′‐tetrakis(N,N‐di‐p‐methoxyphenylamine)‐9,9′‐spirobifluorene (spiro‐OMeTAD) exhibit inferior intrinsic and ambient stability due to the p‐dopant and hydrophilic Li‐TFSI additive. In this study, a new spiro‐type HTM with a critical quasi‐planar core (Z‐W‐03) is developed to improve both the thermal and ambient stability of PSCs. The results suggest that the planar carbazole structure effectively passivates the trap states compared to the triphenylamine with a propeller‐like conformation in spiro‐OMeTAD. This passivation effect leads to the shallower trap states when the quasi‐planar HTMs interact with the Pb‐dimer. Consequently, the device using Z‐W‐03 achieves a higher Voc of 1.178 V compared to the spiro‐OMeTAD's 1.155 V, resulting in an enhanced efficiency of 24.02 %. In addition, the double‐column π–π stacking of Z‐W‐03 results in high hole mobility (~10−4 cm2 V−1 s−1) even without p‐dopant. Moreover, when the surface interface is modified, the undoped Z‐W‐03 device can achieve an efficiency of nearly 23 %. Compared to the PSCs using spiro‐OMeTAD, those with Z‐W‐03 exhibit enhanced stability under N2 and ambient conditions. This superior performance is attributed to the quasi‐planar core structure and the presence of multiple CH/π and π–π intermolecular stacking in Z‐W‐03. The multiple CH/π and π–π intermolecular contacts of HTMs can improve the hole hopping transport. Therefore, it is imperative to focus on further molecular structure design and optimization of spiro‐type HTMs incorporating quasi‐planar cores and carbazole moieties for the commercialization of PSCs. [ABSTRACT FROM AUTHOR]

Photoluminescence energy transfer is a good strategy to enhance the efficiency or tuning of emission colors. A phosphor host containing Gd3+ may facilitate the host-sensitization effect and transfer the so-absorbed photon energy to other activators. Zn1−xMnxGdB5O10 (0.005 ≤ x ≤ 0.07), ZnGd1−yDyyB5O10 (0.01 ≤ y ≤ 0.09), and ZnGd1−zSmzB5O10 (0.01 ≤ z ≤ 0.09) were synthesized via the traditional high-temperature solid-state method. A powder X-ray diffraction technique was employed to confirm the phase purity and successful doping. In all phosphors, by monitoring the characteristic emission of Mn2+, Dy3+ and Sm3+, the excitation spectra of all were found to contain the typical absorption belonging to Gd3+; in addition, the largely shortened fluorescence lifetimes of Gd3+ after Mn2+, Dy3+ or Sm3+ doping strongly proved the existence of the host-sensitization effect. Along with Gd3+-sensitization, Mn2+ doped at the Zn2+ site emits a close-to-ideal red light. Dy3+ and Sm3+ doped at the Gd3+ site emit close to white and orange light, respectively. The calculated internal quantum efficiency is 25.5% for Zn0.995Mn0.005GdB5O10, 17.0% for ZnGd0.97Dy0.03B5O10 and 17.4% for ZnGd0.97Sm0.03B5O10. The high thermal stability of the photoluminescent emission for Mn2+, Dy3+, and Sm3+ can be demonstrated through in situ high-temperature experiments, which suggest possible enhanced energy transfer efficiency at high temperatures. [ABSTRACT FROM AUTHOR]

Utilizing molecular vibrations to regulate the singlet/triplet-involved emissions in multiple states is a formidable challenge. Here, we have explored o-carborane-based molecules as model systems to gain insight into how molecular vibrations induce the coupling of singlet locally excited (1LE) and charge-transfer (1CT) states, as well as triplet locally excited (3LE) and charge-transfer (3CT) states. Their three-dimensional conformations allowed the molecules to generate appropriate C1–C2 bond stretching vibrations and modulated the orientations between the C-substituted unit and C1–C2 bond in the o-carborane moiety in the crystalline states, facilitating vibronic coupling between the 1LE (3LE) and 1CT (3CT) states to generate effective multiple emissions. More importantly, the energy barriers between the 1LE–1CT/3LE–3CT states were remarkably small to make these reverse states accessible, which is indicative of the potential occurrence of back charge transfer from electron-withdrawing to electron-donating units. Lastly, the environmental pressure inhibited molecular vibration to regulate the emission. This study provides a valuable model for delving into the fundamental nature of multiple emissions arising from molecular vibrations in o-carborane clusters. [ABSTRACT FROM AUTHOR]

Additive manufacturing (AM), owing to its unique manufacturing approach, can drive manufacturing towards higher levels of sophistication, flexibility, and intelligence within the context of Industry 4.0. However, the complexity of AM systems and their nature as data-intensive manufacturing domains present challenges in producing high-quality products. With the advancement of digital and computer technologies, data-driven machine learning (ML) has been widely applied in AM, as it provides effective methods for quality control, process optimization, and complex system modeling. This paper succinctly summarizes the various phases of utilizing ML to assist in AM processes. It elucidates the advantages of using ML over traditional methods in each phase, starting from the pre-processing phase of design for additive manufacturing (DfAM) and parameter optimization, through the processing phase of defect detection, to the post-processing phase of part quality assessment. The objective of DfAM is to optimize product design, taking into account the interactions between multiple variables. The nonlinear capability of ML can be effectively utilized in DfAM. Defect detection aims to ensure the repeatability, durability, and reliability of parts. Combining sensors with ML can guarantee part quality. Lastly, assessing part quality and inspecting various subsystems of AM are conducted from the perspective of the part's microstructure. This review explores the application of ML in addressing numerous issues related to the AM process workflow. It provides a comprehensive and systematic summary of the application of various ML models at different phases, investigates the potential of newer ML technologies to assist AM in the future, and concludes with the limitations of current ML applications in AM as well as future development directions. By intersecting these two dynamic fields, it aims to enrich the AM research domain. [ABSTRACT FROM AUTHOR]

Composite materials comprised of conductive polymers and single-walled carbon nanotubes (SWCNTs) hold substantial research significance in the field of thermoelectric materials. The design of side chains plays a critical role in conjugated polymers to achieve superior thermoelectric properties of composite materials. In this study, we synthesized a series of block copolymers composed of poly(3-octylthiophene) (P3OT) and poly(3-(2,5,8,11-tetraoxadodecyl)thiophene) (P3TEGT), designated as P3OT-b-P3TEGT with three distinct block ratios (2 : 1, 1 : 1, and 1 : 2 of conductive segment P3OT to polar segment P3TEGT). Then we combined these block copolymers with SWCNTs to prepare stretchable and bendable composite films. We found that when the optimal mass ratio of SWCNTs was 90%, mechanically, the higher the proportion of the P3TEGT polar segment correlated with lower tensile strength and Young's modulus of the composite films, demonstrating more flexible stretching properties. Thermoelectrically, the higher proportion of the P3TEGT segment resulted in an increased hole concentration in the composite films. The composite with a 2 : 1 block ratio and 90% SWCNT content, labeled as 1 : 2/SWCNTs-0.9, showed the best thermoelectric performance with a conductivity of 1206.03 S cm−1 and a power factor of 189.67 μW m−1 K−2, which exceeds the performance of pure SWCNTs in both thermoelectric performance and flexibility. These findings suggested that manipulating the proportion of polar side chains in conjugated polymers can significantly enhance the thermoelectric and mechanical properties of composite materials. We believe that this study will lay the groundwork for a molecular design strategy aimed at developing new flexible thermoelectric materials, and expand the potential applications of such composites in future technology. [ABSTRACT FROM AUTHOR]

Background: Intermittent fasting (IF) holds promise for enhancing metabolic health. However, the optimum IF forms and their superiority over continuous energy restriction (CER) remain unclear due to disconnected findings. Methods: We systematically searched PubMed, Embase, and the Cochrane databases for meta-analyses of randomized controlled trials (RCTs) investigating the association between IF and metabolic health outcomes. Subsequently, we performed an umbrella review and network meta-analysis (NMA) to evaluate the efficacy of different forms of IF (time-restricted eating (TRE), alternate-day fasting (ADF), and 5:2 diet (regular eating for 5 days and energy restriction for 2 days per week)) compared to CER and usual diets on metabolic health outcomes. To assess the certainty of both direct and indirect estimates, we employed the Confidence in Network Meta-Analysis (CINeMA) approach. Additionally, we calculated the surface under the cumulative ranking curve (SUCRA) for each dietary strategy to determine their ranking in terms of metabolic health benefits. Results: Ten of the best and non-redundant meta-analysis studies, involving 153 original studies and 9846 participants, were included. When considering direct evidence only, all IF forms significantly reduced body weight compared to usual diets. In NMA incorporating indirect evidence, all IF regimens also significantly reduced body weight compared to usual diets. In the SUCRA of NMA, IF ranked higher than usual diets or CER in 85.4% and 56.1% of the outcomes, respectively. ADF had the highest overall ranking for improving metabolic health (ranked first: 64.3%, ranked second: 14.3%). Conclusions: Overall, all IF forms demonstrate potentials to improve metabolic health, with ADF appearing to produce better outcomes across investigated outcomes. Further high-quality trials are warranted to confirm the (relative) efficacy of IF on metabolic health. Trial registration: PROSPERO (record no: CRD42022302690). [ABSTRACT FROM AUTHOR]

Noise‐induced hearing loss (NIHL), a prevalent sensory disability affecting a majority of the global population, is dominantly induced by mitochondrial dysfunction and oxidative stress, but no effective therapeutic strategy is available. Herein, the potential of a 2D catalytic niobium carbide (Nb2C) MXenzyme is investigated as a nanomedicine for treating NIHL by scavenging reactive oxygen species (ROS). The findings reveal that 2D Nb2C MXenzyme effectively eliminates free radicals, resulting in a substantial reduction of ROS in House Ear Institute‐Organ of Corti 1 (HEI‐OC1) cells treated with hydrogen peroxide (H2O2). Additionally, the 2D Nb2C MXenzyme demonstrates significant protection on hair cells by preventing cytotoxicity and apoptosis induced by H2O2. In vivo experiments further support the efficacy of the 2D Nb2C MXenzyme in restoring hearing impairment caused by extensive noise exposure. Specifically, it restores the raised amplitude of Wave I in auditory brainstem response (ABR) records and promotes the recovery of damaged ribbon synapses in inner hair cells. Notably, the therapeutic effect of the 2D Nb2C MXenzyme is attributed to its ability to suppress cochlear oxidative stress evidenced by immunohistochemical analysis. This research provides a new approach for treating hearing loss‐related ear diseases by utilizing catalytic biomaterials and nanomedicine with enzyme‐mimicking properties. [ABSTRACT FROM AUTHOR]

Olfactory dysfunction has emerged as a hallmark feature shared among several neurological conditions, including both neurodevelopmental and neurodegenerative disorders. While diseases of both categories have been extensively studied for decades, their association with olfaction has only recently gained attention. Olfactory deficits often manifest already during prodromal stages of these diseases, yet it remains unclear whether common pathophysiological changes along olfactory pathways cause such impairments. Here we probe into the intricate relationship between olfactory dysfunction and neurodegenerative and neurodevelopmental disorders, shedding light on their commonalities and underlying mechanisms. We begin by providing a brief overview of the olfactory circuit and its connections to higher-associated brain areas. Additionally, we discuss olfactory deficits in these disorders, focusing on potential common mechanisms that may contribute to olfactory dysfunction across both types of disorders. We further debate whether olfactory deficits contribute to the disease propagation or are simply an epiphenomenon. We conclude by emphasizing the significance of olfactory function as a potential pre-clinical diagnostic tool to identify individuals with neurological disorders that offers the opportunity for preventive intervention before other symptoms manifest. [ABSTRACT FROM AUTHOR]

Background: Sarcopenia is typically assessed through hand grip strength, walking speed, and chair stand tests. However, it has been inadequately examined in terms of other physical fitness (PF) components in community-dwelling older adults. Thus, in this study, we explored factors influencing the risk of sarcopenia in community-dwelling older adults. In addition, we analyzed the clinicodemographic characteristics of older adults with or without sarcopenia and investigated the effect of sex on their PF. Methods: This cross-sectional study included 745 older adults from a community health promotion program in Taiwan. Their clinicodemographic characteristics were recorded. PF was assessed through various tests, such as hand grip strength evaluation, 8-foot up-and-go test (8-UGT), 2-min step test, and 6-m walk test. PF and factors influencing sarcopenia risk were compared between older adults with sarcopenia (sarcopenia group) and those without it (nonsarcopenia group). A logistic regression model was performed to identify key factors associated with sarcopenia. Its predictive performance was evaluated by calculating the area under the receiver operating characteristic curve (ROC) curve. Results: Regardless of sex, the sarcopenia group performed worse in almost all components of PF—for example, upper and lower limb muscular strength and endurance, cardiopulmonary fitness, and balance—than did the nonsarcopenia group. However, for men, no significant between-group difference was observed in flexibility. The logistic regression model indicated age (odds ratio [OR]: 1.107), sex (OR: 2.881), Mini Nutritional Assessment—Short Form scores (OR: 0.690), and performance in 8-UGT (OR: 1.346) as factors influencing the risk of sarcopenia. The model exhibited excellent discriminative ability in predicting sarcopenia, as indicated by an area under the curve value of 0.867 (95% confidence interval: 0.827–0.906; p < 0.05). Conclusion: Older adults without sarcopenia tend to outperform those with sarcopenia in almost all PF measures, regardless of sex. Older age, male sex, low Mini Nutritional Assessment—Short Form scores, and poor performance in 8-UGT are associated with a high risk of sarcopenia. [ABSTRACT FROM AUTHOR]

Objective: This research aimed to delineate the pharmacological mechanisms of 7-Hydroxycoumarin (7-HC) on ulcerative colitis (UC) employing network pharmacology and experimental validation. Methods: To investigate the therapeutic effects of 7-HC on UC, a UC mouse model was established through the unrestricted intake of 3.0% dextran sulfate sodium (DSS) in their drinking water. Subsequently, we predicted the core targets and signaling pathways of 7-HC for the treatment of UC using the network pharmacology approach. Finally, the insights gained from network pharmacology were further validated by molecular docking, molecular dynamics simulation as well as in vivo experiments. Results: Administering 7-HC orally to mice with UC led to a marked improvement in colitis indicators. Furthermore, 7-HC significantly lowered the levels of inflammatory cytokines (TNF-α, IL-1β) in the colon and modulated oxidative stress markers (MPO, SOD). Subsequent studies identified 2 core targets (AKT1 and EGFR) in the colon of UC mice that were inhibited by 7-HC. Network pharmacology and experimental validation showed that 7-HC can reduce the expression of MAPK pathway markers P38, JNK, ERK, and their phosphorylation; 7-HC can also ameliorate UC by regulating the gut microbiome. Conclusion: 7-HC demonstrates considerable efficacy in alleviating UC in mice, primarily through substantial diminution of tissue inflammation and oxidative stress. This is the first time that 7-HC has been found to treat UC by inhibiting the MAPK pathway and modulating the gut microbiota, providing a fresh perspective on the pharmacological mechanisms through which 7-HC operates in the management of UC. [ABSTRACT FROM AUTHOR]

Sonopiezocatalytic therapy is an emerging therapeutic strategy that utilizes ultrasound irradiation to activate piezoelectric materials, inducing polarization and energy band bending to facilitate the generation of reactive oxygen species (ROS). However, the efficient generation of ROS is hindered by the long distance of charge migration from the bulk to the material surface. Herein, atomically thin Bi2O2(OH)(NO3) (AT‐BON) nanosheets are rationally engineered through disrupting the weaker hydrogen bonds within the [OH] and [NO3] layer in the bulk material. The ultrathin structure of AT‐BON piezocatalytic nanosheets shortens the migration distance of carriers, expands the specific surface area, and accelerates the charge transfer efficiency, showcasing a natural advantage in ROS generation. Importantly, the non‐centrosymmetric polar crystal structure grants the nanosheets the ability to separate electron‐hole pairs. Under ultrasonic mechanical stress, Bi2O2(OH)(NO3) nanosheets with the remarkable piezoelectric feature exhibit the desirable in vivo antineoplastic outcomes in both breast cancer model and liver cancer model. Especially, the AT‐BON‐induced ROS bursts lead to the activation of the Caspase‐1‐driven pyroptosis pathway. This study highlights the beneficial impact of bulk material thinning on enhancing ROS generation efficiency and anti‐cancer effects. [ABSTRACT FROM AUTHOR]

Organic memristors based on covalent organic frameworks (COFs) exhibit significant potential for future neuromorphic computing applications. The preparation of high‐quality COF nanosheets through appropriate structural design and building block selection is critical for the enhancement of memristor performance. In this study, a novel room‐temperature single‐phase method was used to synthesize Ta−Cu3 COF, which contains two redox‐active units: trinuclear copper and triphenylamine. The resultant COF nanosheets were dispersed through acid‐assisted exfoliation and subsequently spin‐coated to fabricate a high‐quality COF film on an indium tin oxide (ITO) substrate. The synergistic effect of the dual redox‐active centers in the COF film, combined with its distinct crystallinity, significantly reduces the redox energy barrier, enabling the efficient modulation of 128 non‐volatile conductive states in the Al/Ta−Cu3 COF/ITO memristor. Utilizing a convolutional neural network (CNN) based on these 128 conductance states, image recognition for ten representative campus landmarks was successfully executed, achieving a high recognition accuracy of 95.13 % after 25 training epochs. Compared to devices based on binary conductance states, the memristor with 128 conductance states exhibits a 45.56 % improvement in recognition accuracy and significantly enhances the efficiency of neuromorphic computing. [ABSTRACT FROM AUTHOR]

Organic memristors based on covalent organic frameworks (COFs) exhibit significant potential for future neuromorphic computing applications. The preparation of high‐quality COF nanosheets through appropriate structural design and building block selection is critical for the enhancement of memristor performance. In this study, a novel room‐temperature single‐phase method was used to synthesize Ta−Cu3 COF, which contains two redox‐active units: trinuclear copper and triphenylamine. The resultant COF nanosheets were dispersed through acid‐assisted exfoliation and subsequently spin‐coated to fabricate a high‐quality COF film on an indium tin oxide (ITO) substrate. The synergistic effect of the dual redox‐active centers in the COF film, combined with its distinct crystallinity, significantly reduces the redox energy barrier, enabling the efficient modulation of 128 non‐volatile conductive states in the Al/Ta−Cu3 COF/ITO memristor. Utilizing a convolutional neural network (CNN) based on these 128 conductance states, image recognition for ten representative campus landmarks was successfully executed, achieving a high recognition accuracy of 95.13 % after 25 training epochs. Compared to devices based on binary conductance states, the memristor with 128 conductance states exhibits a 45.56 % improvement in recognition accuracy and significantly enhances the efficiency of neuromorphic computing. [ABSTRACT FROM AUTHOR]

Objective: The selection of appropriate materials and techniques for reconstructing skull base defects is crucial for restoring function, minimizing complications, and enhancing aesthetics. Dermal fat grafts (DFGs) have been established in many surgeries for contour correction. However, there is little literature describing the application of free dermal fat grafts for reconstruction of lateral skull base surgery defects. Therefore, the aim of this study was to evaluate the clinical effect of using free dermal fat grafts in the reconstruction of lateral skull base defects. Methods: In this study, 32 patients who underwent primary autologous free dermal fat graft reconstruction for lateral skull base defects were enrolled. Postoperative complications both in the donor and recipient area were evaluated. Three-dimensional (3D) reconstruction techniques were applied to visualize the fat graft shape and volume variations for the assessment of postoperative restoring function. A telephone questionnaire was used for the assessment of postoperative facial aesthetics and patient satisfaction. Results: A total of 32 patients who met the inclusion criteria were included in the study, showing satisfying results in safety and aesthetics. Participants' ages averaged at 42.03 years, with the youngest being 18 and the oldest at 75 years old. No patient had postoperative complications of abdominal wounds in the donor area, only two patients had postoperative infections and one patient had a postoperative effusion in the recipient area. The volume of the grafts ranged from a minimum of 24.4 cm³ to a maximum of 131 cm³, with the highest recorded resorption volume being 33.63 cm³. The average resorption rate of the dermal fat graft was 24.36%, ranging from a minimum of 11% to a maximum of 43%. 3D reconstruction based on MRI imaging data indicated that DFGs have a lower resorption rate than traditional free fat grafts. The telephone questionnaire revealed high patient satisfaction with facial aesthetics, with the majority rating their outcomes positively. Conclusions: Dermal fat grafts have fewer complication and can provide better resistance to infection and radiation aspect. Based on 3D reconstruction techniques via MRI imaging data, we found that dermal fat grafts have lower resorption rate than traditional free fat grafts, which can be a suitable material for reconstruction of lateral skull base defects. [ABSTRACT FROM AUTHOR]

Colorectal cancer (CRC) is a major global concern. Mesenchymal stem cell-derived exosomes (MSC-EXOs) have demonstrated efficacy as a therapeutic approach for colorectal cancer. However, the precise mechanism by which MSC-EXOs treat colorectal cancer remains unclear. Human umbilical cord (hUC)-MSC-EXOs were isolated and identified. Cell Counting Kit-8 (CCK-8), Transwell, and colony formation assays were used to assess the activity of CRC cells. Glucose consumption, lactic acid production, and extracellular acidification rate (ECAR) were measured to assess glycolytic activity. Cell stemness was assessed using a sphere-formation assay. Furthermore, MSC-exosomal microRNAs (miRNAs) in CRC tissues were analyzed using the EVmiRNA database, and aberrantly expressed miRNAs in CRC cells were obtained from the Gene Expression Omnibus (GEO) database. The binding relationship between miR-486-5p and the never in mitosis gene A-related kinase 2 (NEK2) was predicted using the Starbase database and validated through RNA binding protein immunoprecipitation (RIP) and dual luciferase assays. These results showed that hUC-MSC-EXOs inhibited the proliferation and metastasis of CRC cells. Moreover, glycolysis and stemness abilities of CRC cells also decreased after treatment with hUC-MSC-EXOs. miR-486-5p was found to be enriched in hUC-MSC-EXOs and significantly downregulated in CRC cells. miR-486-5p directly bound to NEK2. Overexpression of NEK2 reversed the inhibitory effect of miR-486-5p on CRC cell glycolysis and stemness. Our study highlights that hUC-MSC-EXO miR-486-5p inhibits glycolysis and cell stemness in CRC by targeting NEK2. This finding offers compelling evidence supporting the potential application of hUC-MSC-EXOs in the treatment of CRC. [ABSTRACT FROM AUTHOR]

Neurodegeneration and neuroinflammation are key components in the pathogenesis of Japanese Encephalitis caused by Japanese Encephalitis Virus (JEV) infection. The N-methyl-D-aspartate (NMDA)-type glutamate receptor displays excitatory neurotoxic and pro-inflammatory properties in a cell context-dependent manner. Herein, potential roles of the NMDA receptor in excitatory neurotoxicity and neuroinflammation and effects of NMDA receptor blockade against JEV pathogenesis were investigated in rat microglia, neuron/glia, neuron cultures, and C57BL/6 mice. In microglia, JEV infection induced glutamate release and activated post-receptor NMDA signaling, leading to activation of Ca2+ mobilization and Calcium/Calmodulin-dependent Protein Kinase II (CaMKII), accompanied by pro-inflammatory NF-κB and AP-1 activation and cytokine expression. Additionally, increased Dynamin-Related Protein-1 protein phosphorylation, NAPDH Oxidase-2/4 expression, free radical generation, and Endoplasmic Reticulum stress paralleled with the reactive changes of microglia after JEV infection. JEV infection-induced biochemical and molecular changes contributed to microglia reactivity and pro-inflammatory cytokine expression. NMDA receptor antagonists MK801 and memantine alleviated intracellular signaling and pro-inflammatory cytokine expression in JEV-infected microglia. JEV infection induced neuronal cell death in neuron/glia culture associated with the concurrent production of pro-inflammatory cytokines. Conditioned media of JEV-infected microglia compromised neuron viability in neuron culture. JEV infection-associated neuronal cell death was alleviated by MK801 and memantine. Activation of NMDA receptor-related inflammatory changes, microglia activation, and neurodegeneration as well as reversal effects of memantine were revealed in the brains of JEV-infected mice. The current findings highlight a crucial role of the glutamate/NMDA receptor axis in linking excitotoxicity and neuroinflammation during the course of JEV pathogenesis, and proposes the anti-inflammatory and neuroprotective potential of NMDA receptor blockade. [ABSTRACT FROM AUTHOR]

Solid additives play a crucial role in developing highly efficient organic solar cells (OSCs) by improving intermolecular interactions between polymer donors and acceptors, forming optimal bulk heterojunction (BHJ) morphology. In this study, we report three volatile solid additives: 1,4-dibromobenzene (DBB), 1-bromo-4-iodobenzene (BIB), and 1,4-diiodobenzene (DIB). Their electrostatic potential on the molecular van der Waals surface decreases as iodine atoms replace bromine atoms. Fourier transform infrared spectroscopy indicates that these solid additives are completely removed during thermal annealing of the active layer. Theoretical calculations show that DIB exhibits the strongest intermolecular interactions with PM6 and BTP-eC9, respectively. The DBB shows the weakest intermolecular interactions with PM6 and BTP-eC9, respectively. Interestingly, the BIB-treated blend film exhibits the longest crystal coherence length (23.2 Å) and the fastest hole transfer (0.17 ps), compared to DBB- (19.0 Å, 0.25 ps) and DIB- (19.7 Å, 0.23 ps) treated blend films. Consequently, the DBB- and DIB-treated active layers exhibit power conversion efficiencies (PCEs) of 17.14% and 18.25%, respectively, while the BIB-treated active layer achieves an excellent PCE of 18.91%. This work demonstrates that rational modulation of active layer intermolecular interactions through solid additives is essential for developing high-performance OSCs. [ABSTRACT FROM AUTHOR]

This study demonstrates hydrogen production from seawater electrolysis via protonic ceramic electrochemical cells (PCECs) for the first time. Using vapors generated from seawater, a state-of-the-art air electrode PrBa0.5Sr0.5Co1.5Fe0.5O5+δ (PBSCF) shows a typical area-specific resistance of 0.269 Ω cm2 with reasonable durability within a 100 h test at 600 °C, similar to those tests using pure water vapor. In addition, in seawater vapor at 600 °C, a PCEC with a cell configuration of PBSCF∣BaZr0.1Ce0.7Y0.1Yb0.1O3−δ (BZCYYb)∣Ni-BZCYYb shows a typical peak power density of 1.388 W cm−2 in a fuel cell (FC) mode and a current density of −2.392 A cm−2 in an electrolysis cell (EC) mode. In addition, the cells show promising stability in seawater vapor (3% and 10% H2O concentration) in EC mode when tested at −0.5 A cm−2 at 600 °C. More importantly, the cells maintain a reliable hydrogen production rate and faradaic efficiency during the seawater electrolysis. [ABSTRACT FROM AUTHOR]

The dramatic increase in CO2 emission has caused extreme weather events in recent years. Electrocatalytic CO2 reduction reaction (CO2RR) to useful fuels is an effective way of solving CO2 emission. However, serious hydrogen reaction evolution interference and low Faraday efficiency restrict its large-scale application, especially at low CO2 concentrations. This study presents a novel biohybrid comprising Bi–Cu bimetallenes (Bi–Cu BMLs) and carbonic anhydrase (CA) for efficient and selective electroreduction of CO2 to formic acid at low CO2 concentration. Ultra-thin Bi–Cu BMLs were synthesized via a facile galvanic replacement reaction, providing abundant sites for CA immobilization. The incorporation of Bi effectively suppresses the hydrogen evolution reaction and enhances the selectivity of the formic acid product, while the immobilized CA significantly increases the local CO2 concentration at the electrode surface due to its exceptional CO2 hydration activity and rapidly reversible equilibrium. As a result, the CA/Bi–Cu BML biohybrid system demonstrates remarkable performance, achieving 100% selectivity and 88.57% faradaic efficiency for formic acid production. Notably, the system maintains a high faradaic efficiency of 77.58% even at 5% CO2 concentration. Furthermore, the biohybrid catalyst exhibits excellent stability and reusability, underscoring its potential for practical applications in dilute CO2 streams. [ABSTRACT FROM AUTHOR]

Synthetic molecular sensors are crucial for real-time monitoring in biological systems and biotechnological applications, where detecting targets amidst potential interferents is essential. This task is particularly challenging in competitive environments that lacking chemically reactive functional groups, common in agricultural, biological, and environmental contexts. Consequently, scientific efforts have focused on developing sensitive and rapid analytical techniques, with fluorescent sensors emerging as prominent tools. Among these, the albumin-based supramolecular fluorescent indicator displacement assay (AS-FIDA) represents a significant advancement. Our research group has extensively contributed to this field, demonstrating the practical utility of various AS-FIDAs. We pioneered the use of albumin (ALB) as a host molecule in these synthetic chemical sensors, marking a notable advancement. AS-FIDA employs ALB as a versatile host molecule with multiple flexible and asymmetrical binding pockets capable of forming complexes with guest dyes, resulting in ALB@dye ensembles tailored for specific analyte recognition. Recent advancements in AS-FIDA have significantly expanded its applications. This review explores recent advances in ALB-based supramolecular sensors and sensor arrays for detecting biologically and environmentally significant molecules, such as pesticides, hormones, biomarkers, reactive species, mycotoxins, drugs, and carcinogens. The versatility of AS-FIDA positions it as a valuable tool in diverse settings, from laboratory research to practical applications in portable devices, smartphone-assisted on-site monitoring, imaging of living cells, and real sample analysis. [ABSTRACT FROM AUTHOR]

The iodide precursor oxidation has persistently plagued solution grown iodine‐based perovskite single crystals (IPSCs) that inevitably introduce undesirable triiodide ion (I3−) defects and severely hindering crystal quality, despite IPSCs having garnered remarkable progress in multifarious photoelectronic applications. In this work, the spontaneously inhibited iodide oxidation is discovered in an eco‐friendly solvent, γ‐Valerolactone (GVL), and demonstrates a universal solution approach for fabricating high‐quality IPSCs. Compared to the routine γ‐Butyrolactone (GBL) system, GVL provides a lowered growth temperature and a significantly broadened inverse temperature operation window, thereby improving the theoretical utilization rate of perovskite precursors up to 88.6%. More importantly, due to its higher open‐ring hydrolysis energy, GVL can spontaneously inhibit the iodide precursors oxidation without any additional reductant and therefore effectively prevent the forming I3− defects. Typically, the as‐fabricated MAPbI3 single crystal possesses an extremely low trap density of 3.57 × 108 cm−3 and a high carrier mobility‐lifetime (µτ) product of 2.74 × 10−3 cm2 V−1, which enables its photodetection capabilities to be on a par with the state‐of‐art MAPbI3 single crystal photodetectors. This work paves an efficacious and green pathway for high‐quality IPSC fabrication toward advanced optoelectronic utilizations. [ABSTRACT FROM AUTHOR]

Membranes offer a potentially energy‐efficient and space‐saving solution to reduce CO2 emissions and combat global warming. However, engineering membranes with advanced materials for high permeance and reasonable selectivity is a pressing need. In this context, a series of carbazole‐based conjugated microporous polymer (CMP) membranes are fabricated with thicknesses of a few hundred nanometers through in situ electropolymerization for post‐combustion carbon capture. The findings reveal that various experimental conditions, including the monomer concentration, electric potential, and cyclic voltammetry (CV) cycling number, largely impact the polymerization degree of the carbazole‐based CMP, thus influencing the mode of polymer chain packing. An optimal polymerization degree leads to a larger micropore size and a higher fractional free volume (FFV), thus allowing fast CO2 transport. The study first demonstrates the feasibility of using CMPs to fabricate thin film composite (TFC) membranes for post‐combustion carbon capture and confirms the high controllability of their micropores. These insights provide instructive guidance for the future advancement of CMP applications in membrane fabrication for gas separation and other fields that require precise micropore generation and design. [ABSTRACT FROM AUTHOR]

Autoimmune rheumatic diseases (ARD) present a significant global health challenge characterized by a rising prevalence. These highly heterogeneous diseases involve complex pathophysiological mechanisms, leading to variable treatment efficacies across individuals. This variability underscores the need for personalized and precise treatment strategies. Traditionally, clinical practices have depended on empirical treatment selection, which often results in delays in effective disease management and can cause irreversible damage to multiple organs. Such delays significantly affect patient quality of life and prognosis. Artificial intelligence (AI) has recently emerged as a transformative tool in rheumatology, offering new insights and methodologies. Current research explores AI's capabilities in diagnosing diseases, stratifying risks, assessing prognoses, and predicting treatment responses in ARD. These developments in AI offer the potential for more precise and targeted treatment strategies, fostering optimism for enhanced patient outcomes. This paper critically reviews the latest AI advancements for predicting treatment responses in ARD, highlights the current state of the art, identifies ongoing challenges, and proposes directions for future research. By capitalizing on AI's capabilities, researchers and clinicians are poised to develop more personalized and effective interventions, improving care and outcomes for patients with ARD. [ABSTRACT FROM AUTHOR]

Meningeal metastasis (LM) is commonly seen in the advanced stages of cancer patients, often leading to a rapid decline in survival time and quality of life. Currently, there is still a lack of standardized treatments. Oncolytic viruses (OVs) are a class of emerging cancer therapeutics with the advantages of selectively replicating in cancer cells, delivering various eukaryotic transgenes, inducing immunogenic cell death, and promoting anti-tumor immunity. Some studies applying OVs intrathoracically or intraperitoneally for the treatment of malignant pleural and peritoneal effusions have shown promising therapeutic effects. If OVs could be applied to treat LM, it would bring significant survival benefits to patients with LM. In this review, we analyzed past research on the use of viruses to treat meningeal metastasis, summarized the efficacy and safety demonstrated by the research results, and analyzed the feasibility of oncolytic virus therapy for meningeal metastasis. We also summarized the existing data to provide guidance for the development of OVs that can be injected into the cerebrospinal fluid (CSF). [ABSTRACT FROM AUTHOR]

The education and training of electrical substations play an essential role for college students and engineers majoring in electrical engineering. However, to ensure the substation's safety production and equipment operation, it is difficult for personnel from external units to enter the site for learning. To overcome these limitations, this paper proposes a virtual interactive training technology method to author an interactive virtual maintenance education system (VMES) for electrical substations. The system aims to build a visual training and education platform for virtual substations to help learners master the station's equipment, operation, maintenance, evaluation, and other processes. Firstly, the system establishes a component‐level virtual interaction element to encapsulate an electrical substation virtual maintenance model that dynamically responds to user operations. The equipment structure and system environment are visually modeled using engineering modeling software. Secondly, a virtual interactive training system is created with the functions of 3D disassembly training, fault tree reliability evaluation, and AHP‐FCE maintenance assessment. Finally, through four operating systems, we evaluate the compatibility of the VMES, and we recruit learners to evaluate and discuss emerging and common educational models. The practical application results prove that the system can significantly improve students' learning efficiency and interest. Meanwhile, due to the increased number of interactive operations in VMES, participants can proficiently master the composition and working principles of equipment in substations, and cognitive load can be reduced. [ABSTRACT FROM AUTHOR]

While discourse competence (DC) has been identified as the core competence in English as a foreign language (EFL) learning and communication, only a few empirical studies have focused on DC in speaking assessments. This study investigates the discourse features (i.e., cohesion and coherence) of Taiwanese candidates' performances in an argumentative exposition task in the General English Proficiency Test (GEPT) by analyzing the construction of cohesion and coherence across four band scores (i.e., Bands 2, 3, 4, and 5). Cohesion analysis showed that all the three types of cohesion devices (i.e., grammatical, logical, and lexical) develop linearly with increasing band score levels. The higher-score test-takers (Bands 4 and 5) adopted grammatically and semantically more appropriate references to establish an accurate relation with the referents. They also tended to use a higher frequency of overall conjunctions (particularly additive) and repetition to promote logical and lexical cohesion. Coherence analysis found that high-score candidates were more equipped to produce a response that complies with the expected generic structure of argumentative tasks. While more complex theme-rheme patterns appeared more frequently in the discourse of higher-score candidates, theme reiteration patterns were only observed in Band 2. These results illustrate how Taiwanese EFL learners demonstrate DC with cohesive and coherence strategies in speaking test performance across band scores. Pedagogical implications for language teaching and learning are then discussed. [ABSTRACT FROM AUTHOR]

Ethyl acetate is a critical medical indicator for detecting certain types of cancer. However, at present, available sensitive materials often exhibit drawbacks, such as high operating temperatures and poor responses to low concentrations of ethyl acetate. In this study, a ZnO nanorod sensing material was prepared using high-temperature annealing and a hydrothermally synthesized metal-organic framework (MOF) as a template. Au nanodots (AuNDs) were subsequently modified on the ZnO nanorods using an in situ ion reduction, which provided a better dispersion of Au nanodots compared with that obtained using the common reductant method. A variety of characterization methods indicate that the highly dispersed AuNDs, which possess a high catalytic activity, were loaded onto the surface as active centers, leading to a significant augmentation in the adsorption of oxygen on the surface compared with the original ZnO material. Consequently, the AuND@ZnO material exhibited heightened responsiveness to ethyl acetate at a lower operating temperature. The Au@ZnO-based sensor has a response rate (Ra/Rg) of 41.8 to 20 ppm ethyl acetate gas at 140 °C, marking a 17.4-fold increase compared with that of the original material. Due to its low power consumption and high responsiveness, AuND@ZnO is a promising candidate for the detection of ethyl acetate gas in medical applications. [ABSTRACT FROM AUTHOR]

The thermal elastohydrodynamic (TEHD) effect contributes significantly to the improvement of dynamic behavior of mechanical presses, especially under the complex conditions of high speed, heavy load, and high temperature. In this work, a novel mixed-TEHD model and the numerical algorithm for the multiphysics problem are proposed to predict the nonlinear behavior of the mechanical press considering multiple clearance-induced joints. The propounded lubrication principle includes the thermal effects caused by contact event and the influence of TEHD on the clearance dimension under complex lubrication conditions. The equivalent nodal force method is adapted as the unified treatment of elastic and thermal deformation in the clearance joints. With the introduction of non-conservative forces, the system's dynamic model is formulated and solved by the Lagrange approach and Newmark- β integration algorithm, respectively. Numerical simulations are performed considering different fluid viscosities and crank speeds to investigate the nonlinear behavior of the mechanical press under various lubrication conditions. The results demonstrate the significance of frictional contact on the bearing thermal characteristics. Compared to the elastic deformation effect of transmission components, the variation of system position accuracy is primarily governed by the dynamics of mixed-lubricated joints. Furthermore, experimental studies are performed to validate the numerical findings. [ABSTRACT FROM AUTHOR]

Introduction: This study explored the failure pattern and clinical outcomes in patients with ependymoma undergoing radiotherapy. Methods: Between January 2004 and June 2022, we included 32 patients with ependymoma who underwent radiotherapy as part of the multimodality treatment at our institution. Of these, 27 (84.4%) underwent adjuvant radiotherapy, four received radiotherapy after local recurrence, and one received definitive CyberKnife radiotherapy (21 Gy in three fractions). The median prescribed dose was 54 Gy in patients who received conventional radiotherapy. We analyzed the local progression-free survival (LPFS), distant metastasis-free survival (DMFS), progression-free survival (PFS), overall survival (OS), and potential prognostic factors. Results: The median age was 29.8 years. Approximately 28.1% were pediatric patients. Fifteen tumors (46.9%) were World Health Organization (WHO) grade II, 10 (31.3%) were WHO grade III, and seven (22.8%) were WHO grade I. Among them, 15 patients (46.9%) had posterior fossa tumors, 10 (31.3%) had supratentorial tumors, and seven (22.8%) had spinal tumors. Of the 31 patients who underwent upfront surgical resection, 19 (61.3%) underwent gross total resection or near-total resection. Seventeen of 19 patients with first failures (89.5%) had isolated local recurrences. Of the 19 patients with disease progression, 11 (57.9%) were disease free or had stable disease after salvage therapy, and five (26.3%) had disease-related mortality. Most of the first local recurrences after radiotherapy occurred infield (13 of 16, 81.3%). The 5-year LPFS, DMFS, PFS, and OS rates were 48.5%, 89.6%, 45.1%, and 88.4%, respectively, at a median follow-up of 6.25 years. Subtotal resection was associated with poorer LPFS and PFS in patients with intracranial ependymoma (hazard ratio = 3.69, p = 0.018, for LPFS; hazard ratio = 3.20, p = 0.029, for PFS). Conclusion: Incorporating radiotherapy into multimodal treatment has led to favorable outcomes in patients with ependymoma, and the extent of resection is a prognostic factor for the local control of intracranial ependymoma. [ABSTRACT FROM AUTHOR]

In recent years, additive manufacturing has been widely used in industrial, medical, and educational fields. Material extrusion is used in most industries to increase development efficiency and reduce costs. This study used the material extrusion to discuss the print quality of additive manufacturing and optimized the processing parameters based on material properties. Based on the literature, this study summarized the fishbone diagram influencing printing quality. The layer height, nozzle temperature, printing speed, infill pattern, and filling spacing were selected as the control factors of the Taguchi method. An orthogonal array L16 was used for parameter design. The optimal parameters were analyzed using the variance and the response surface method. The results of the study are as follows. [ABSTRACT FROM AUTHOR]

We report the growth of AlBN/β‐Nb2N nitride epitaxial heterostructures in which the AlBN is ferroelectric, and β‐Nb2N with metallic resistivity ≈40 μΩ cm$$ \text{&amp;amp;mu;&amp;amp;Omega;\hspace{0.17em}cm}$$ at 300 K becomes superconducting below TC ≈ 0.5 K. Using nitrogen plasma molecular beam epitaxy, we grow hexagonal β‐Nb2N films on c‐plane Al2O3 substrates, followed by wurtzite AlBN. The AlBN is in epitaxial registry and rotationally aligned with the β‐Nb2N, and the hexagonal lattices of both nitride layers make angles of 30° with the hexagonal lattice of the Al2O3 substrate. The B composition of the AlBN layer is varied from 0 to 14.7%. It is found to depend weakly on the B flux, but increases strongly with decreasing growth temperature, indicating a reaction rate‐controlled growth. The increase in B content causes a non‐monotonic change in the a‐lattice constant and a monotonic decrease in the c‐lattice constant of AlBN. Sharp, abrupt epitaxial AlBN/β‐Nb2N/Al2O3 heterojunction interfaces and close symmetry matching are observed by transmission electron microscopy. The observation of ferroelectricity and superconductivity in epitaxial nitride heterostructures opens avenues for novel electronic and quantum devices. [ABSTRACT FROM AUTHOR]

Retinitis pigmentosa (RP) is an inherited eye disease that causes progressive vision loss. Microglial activation and inflammation play essential roles in photoreceptor degeneration in RP, although the underlying mechanisms remain unclear. Here, we examined the progressive degeneration of photoreceptors in rd1 mice, a mouse model of RP. We investigated the molecular changes in various retinal cells in rd1 mice using single‐cell RNA sequencing and found that potentiation of JNK signaling is associated with photoreceptor degeneration in RP. Moreover, inflammation‐related molecules, which function downstream of JNK, are elevated in RP. Furthermore, inhibiting JNK alleviates microglial activation and rescues photoreceptor degeneration in rd1 mice. Thus, our findings suggest that targeting JNK is a promising approach for slowing RP progression. [ABSTRACT FROM AUTHOR]

Branched-chain amino acids (BCAAs) are essential for muscle protein synthesis and are widely acknowledged for mitigating sarcopenia. Oligonol® (Olg), a low-molecular-weight polyphenol from Litchi chinensis, has also been found to attenuate sarcopenia by improving mitochondrial quality and positive protein turnover. This study aims to investigate the effect of Olg on BCAA-stimulated protein synthesis in sarcopenia. In sarcopenic C57BL/6 mice and senescence-accelerated mouse-prone 8 (SAMP8) mice, BCAAs were significantly decreased in skeletal muscle but increased in blood serum. Furthermore, the expressions of membrane L-type amino acid transporter 1 (LAT1) and branched-chain amino acid transaminase 2 (BCAT2) in skeletal muscle were lower in aged mice than in young mice. The administration of Olg for 8 weeks significantly increased the expressions of membrane LAT1 and BCAT2 in the skeletal muscle when compared with non-treated SAMP8 mice. We further found that BCAA deprivation via LAT1-siRNA in C2C12 myotubes inhibited the signaling of protein synthesis and facilitated ubiquitination degradation of BCAT2. In C2C12 cells mimicking sarcopenia, Olg combined with BCAA supplementation enhanced mTOR/p70S6K activity more than BCAA alone. However, blocked LAT1 by JPH203 reversed the synergistic effect of the combination of Olg and BCAAs. Taken together, changes in LAT1 and BCAT2 during aging profoundly alter BCAA availability and nutrient signaling in aged mice. Olg increases BCAA-stimulated protein synthesis via modulating BCAA transportation and BCAA catabolism. Combining Olg and BCAAs may be a useful nutritional strategy for alleviating sarcopenia. [ABSTRACT FROM AUTHOR]

Background/Objectives: Artificial Intelligence (AI) technology is gaining attention for its potential in cognitive function assessment and intervention. AI robots and agents can offer continuous dialogue with the elderly, helping to prevent social isolation and support cognitive health. Speech-based evaluation methods are promising as they reduce the burden on elderly participants. AI agents could replace human questioners, offering efficient and consistent assessments. However, existing research lacks sufficient comparisons of elderly speech content when interacting with AI versus human partners, and detailed analyses of factors like cognitive function levels and dialogue partner effects on speech elements such as proper nouns and fillers. Methods: This study investigates how elderly individuals' cognitive functions influence their communication patterns with both human and AI conversational partners. A total of 34 older people (12 men and 22 women) living in the community were selected from a silver human resource centre and day service centre in Tokyo. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), and participants engaged in semi-structured daily conversations with both human and AI partners. Results: The study examined the frequency of fillers, proper nouns, and "listen back" in conversations with AI and humans. Results showed that participants used more fillers in human conversations, especially those with lower cognitive function. In contrast, proper nouns were used more in AI conversations, particularly by those with higher cognitive function. Participants also asked for explanations more often in AI conversations, especially those with lower cognitive function. These findings highlight differences in conversation patterns based on cognitive function and the conversation partner being either AI or human. Conclusions: These results suggest that there are differences in conversation patterns depending on the cognitive function of the participants and whether the conversation partner is a human or an AI. This study aims to provide new insights into the effective use of AI agents in dialogue with the elderly, contributing to the improvement of elderly welfare. [ABSTRACT FROM AUTHOR]

Diabetic peripheral neuropathy (DPN), a common complication of diabetes mellitus, is primarily characterized by damage to Schwann cells caused by oxidative stress under hyperglycemic conditions. Recently, we demonstrated the ability of coumarin-rich Ficus formosana Maxim. to alleviate DPN in ovariectomized diabetic mice. However, the underlying mechanisms remain unclear. In this study, we established an in vitro DPN model using RSC96 Schwann cells exposed to high glucose levels. Daphnetin, a natural coumarin found abundantly in Ficus formosana Maxim., was co-incubated with Schwann cells in a high-glucose medium to investigate its protective effects against DPN. The free radical scavenging capacity of daphnetin was evaluated, along with assessments of cell viability, apoptosis, H2O2 levels, and the expression of proteins by the nuclear factor erythroid 2-related factor 2 (Nrf2)/glutamate–cysteine ligase catalytic subunit (GCLC) pathway in RSC96 Schwann cells. The results showed that daphnetin was non-toxic within the tested concentration range of 6.25 μM to 50 μM in RSC96 Schwann cells. Moreover, daphnetin significantly improved cell viability, exhibited strong antioxidant activity, reduced H2O2 levels, and regulated the Nrf2/GCLC pathway protein expressions in RSC96 cells cultured in high-glucose medium. Additionally, daphnetin influenced apoptosis-related proteins by decreasing the expression levels of Bax and Caspase 3, while increasing the Bcl-2 expression level in high-glucose-treated RSC96 cells. These findings suggest that daphnetin may alleviate oxidative stress induced by high glucose levels through activation of the Nrf2/GCLC pathway and inhibition of Schwann cell apoptosis, underscoring its potential as a therapeutic agent for DPN. [ABSTRACT FROM AUTHOR]

We consider the asymptotics of the partition function of the extended Gross–Witten–Wadia unitary matrix model by introducing an extra logarithmic term in the potential. The partition function can be written as a Toeplitz determinant with entries expressed in terms of the modified Bessel functions of the first kind and furnishes a τ$\tau$‐function sequence of the Painlevé III′$\text{III}^{\prime }$ equation. We derive the asymptotic expansions of the Toeplitz determinant up to and including the constant terms as the size of the determinant tends to infinity. The constant terms therein are expressed in terms of the Riemann zeta‐function and the Barnes G$G$‐function. A third‐order phase transition in the leading terms of the asymptotic expansions is also observed. [ABSTRACT FROM AUTHOR]