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It is key to develop novel economical and effective non-noble metal bifunctional catalysts for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) in water splitting cells. Herein, a series of novel two-dimensional (2D) ultrathin donor-acceptor Co-based metal organic framework nanoplates (U-DA-CoMOF-NPs) as bifunctional HER/OER catalysts have been designed and fabricated based on a donor-acceptor strategy. Density functional theory calculations demonstrate that the fabricated U-DA-CoMOF-NPs are fine donor-acceptor pairs having HOMO-LUMO localizations and a HOMO-LUMO gap of 2.60 eV and give the Gibbs free energy for a reasonable OER mechanism. Additionally, changes in anions can affect the physicochemical characterizations and HER/OER performance of the fabricated U-DA-CoMOF-NPs. As a result, the fabricated U-DA-CoMOF-NPs-1 using NO 3 − as an anion exhibits the optimal HER/OER performance in alkaline solution thanks to the thinnest nanoplate thickness, the largest surface area and hierarchical mesoporous structure. Moreover, a self-assembled overall water splitting cell with U-DA-CoMOF-NPs-1/NF as both cathode and anode achieves a low potential of 1.65 V and a high cycling stability at 10 mA cm−2 for at least 15 h. The present study offers an option to design and fabricate other cost-effective donor-acceptor MOF-based catalysts for water splitting cells. • A series of U-DA-CoMOF-NPs have been fabricated with a donor-acceptor strategy. • The HOMO positioning is on Tdc, LUMO localization is at Tpt and a gap is 2.6 eV. • Co–N has more positive catalytic ability for OER than pyridinic-N and thiophene-S. • The representative U-DA-CoMOF-NPs-1 exhibits the optimal HER/OER performance. • A U-DA-CoMOF-NPs-1/NF cell shows a low potential and high stability at 10 mA cm−2. [ABSTRACT FROM AUTHOR]

Alzheimer's disease (AD) is a degenerative disease with insidious onset and chronic nervous system, which can be roughly classified into three stages: preclinical AD, mild cognitive impairment (MCI), and clinical AD. Given that timely treatment of MCI can delay the course of AD, identifying what stage of the disease is at the time of early diagnosis is critical in clinical practice. Based on the survey data of elderly residents in Changsha community, this paper constructs the cognitive impairment data set and explores the application of the emerging classification algorithm Convolutional Support Vector Machine(CSVM) in identifying elderly cognitive impairment, a small data classification problem. CSVM is an improved Support Vector Machine classification(SVC) algorithm, which uses the convolution filtering idea of the Convolutional Neural Networks(CNN) algorithm to preprocess the nonlinearly separable sample set to improve the classification ability of SVM. In addition, the optimal convolution filter (solution) is found by the Simplified Swarm Optimization(SSO) algorithm and orthogonal array experimental design. A variable update amplitude method is also proposed to optimize the SSO update strategy further. Aiming at the problem of an unbalanced sample set, a stratified sampling method is used to divide and cross-validate the sample data, and a variety of evaluation indicators are used to evaluate the performance of the model. Experimental results show that the data set processed by a specific convolution filter can significantly improve the classification performance of linear SVM. The accurate differentiation of normal cognition(NC), MCI, and AD helps intervene in adjuvant treatment for potential patients timely. • In the data preprocessing stage, justified features in the original data are selected by the mutual information method, and several experimental data sets with different feature numbers are established. • In the model building stage, the optimal variable updating amplitude of the filter is studied and analyzed, and a new amplitude changing method is proposed. • In the model evaluation stage, the performance was evaluated through stratified sampling cross-validation and sample point distribution research to test the classification performance of the model better. [ABSTRACT FROM AUTHOR]

• Chemotherapy plus tislelizumab displayed an acceptable toxicity profile. • The combination showed effectiveness on RM-NPC patients who failed to another anti-PD-1 therapy. • Tregs increased with tumor progression. • The responders to tislelizumab showed a significant decrease in Tregs. • Tregs increased along with PD and decreased when CR. To evaluate the effectiveness and safety of low-dose gemcitabine and metronomic capecitabine in combination with tislelizumab for patients with recurrent or metastatic nasopharyngeal carcinoma (RM-NPC) who have previously received other anti-PD-1 therapies. This retrospective, observational study included patients with RM-NPC who had prior treatment with anti-PD-1 therapy and subsequently received tislelizumab along with low-dose gemcitabine and metronomic capecitabine between March 2019 and August 2023. Progression-free survival (PFS) was estimated using the Kaplan-Meier method. Among 25 eligible patients, 8 (20%) achieved a complete response (CR). The objective response rate (ORR) was 68%, and the disease control rate (DCR) was 80%. The 1-year PFS rate was 78%. All patients experienced treatment-related adverse events, which were all grade 1 or 2. The combination of tislelizumab with low-dose gemcitabine and metronomic capecitabine demonstrated promising antitumor effectiveness in RM-NPC patients who had failed previous anti-PD-1 therapy, with a manageable safety profile. [ABSTRACT FROM AUTHOR]

Although the composition-driven multi-phase coexistence strategy has been widely used to modify the piezoelectric properties of potassium sodium niobate ((K, Na)NbO 3 , KNN) based ceramics, the trade-off between long-range ferroelectric ordering and chemical additives-induced disorder hinders the further improvement of piezoelectricity and makes the electric field-induced strain temperature-dependent. Herein, to resolve two issues, we proposed a new concept, that is, manipulating defect dipoles and local stress of a pre-constructed multi-phase coexistence through controlling zirconium (Zr) content. We validated the new concept by designing 0.96(K 0.4 Na 0.6)Nb 0.955 Sb 0.045 O 3 -0.04(Bi 0.5 Na 0.5)Zr (1+ x) O 3 ceramics. In samples with Zr deficiency (i.e., x =-0.1), we obtained high retention of 91% in normalized unipolar strain (S uni) over the temperature range of 30-160 °C, even under low electric fields of 10-20 kV/cm, superior to those of other representative KNN-based ceramics. In samples with slight Zr excess (i.e., x =0.07), we achieved an increase in direct piezoelectric coefficient (d 33) and converse piezoelectric coefficient (d 33 *) by 12% and 25%, respectively, in comparison with that at x =0. The enhanced temperature stability stems from the released domain walls that are pinned by defect dipoles, and the increased d 33 (and d 33 *) originates from the synergetic contributions of the multi-phase coexistence, increased grain size, and stabilization of the ZrO 2 secondary phase. Therefore, our new concept would benefit the composition design and performance improvement of KNN-based ceramics in the future. [Display omitted] [ABSTRACT FROM AUTHOR]

Different types of defect dipoles form, F e A.. − V A ′ for A-site and F e N b ″ − V O.. for B-site according to the dopant sites [Fig. 1(a)]. Both of the temperature stable miniatured domain [Fig. 1(b)] and active defect dipole F e N b ″ − V O.. [Fig. 1(c)] in the B-site 0.05 leads to the preferable temperature stability, that is, the remnant polarization (P r) and unipolar strain (S) vary less than 10% and 15% in the temperature range of 20-140 °C, which is superior to other systems [Fig. 1(d)]. We believe that the strategy of designed defect dipoles is helpful for improving electrical properties and further promoting the development of KNN-based ceramics. [Display omitted] The designed defect-engineering has been proved to be an effective way to promote properties in potassium sodium niobate (KNN)-based ceramics. Here, we focus on the introduction of Fe element into different sites of KNN-based ceramics to form defects and optimize properties. Two types of defect dipoles can be formed, F e A.. − V A ′ for A-site and F e N b ″ − V O.. for B-site. Compared with the defect dipoles of A-site, the defect dipoles of B-site are sensitive to both electric field and temperature. So that, the B-site defect dipoles switch easily under the thermo-electric treatment, and share the same behavior with spontaneous polarization after removing the electric field, which compensates the remnant polarization. In addition, the domain miniaturizes as the Fe ions doping. Both of the defect dipole behavior and nanodomain lead to the preferable temperature stability: remnant polarization (P r) and unipolar strain (S) of the B-site engineered ceramics vary less than 10% and 15% in the temperature range of 20-140 °C. We hope that the strategy of designed defect dipoles is helpful for improving electrical properties and further promoting the development of KNN-based ceramics. [ABSTRACT FROM AUTHOR]

Objectives: The study was intended to compare the outcomes for T1-T2N0M0 glottic squamous cell carcinoma with anterior commissure involvement who had undergone partial laryngectomy (PL) or radiotherapy (RT).Materials and Methods: We retrospectively analyzed 256 patients who were treated by RT (n = 70) or PL (n = 186). Patients received prophylactic irradiation of the neck in RT group whereas PL was not associated with lymphadenectomy. Propensity score matching (PSM) was used to eliminate the baseline variations.Results: The average age of the RT group (67 years) was significantly higher than that of the PL (59 years). Local recurrence was noted in 14 patients of the RT group and 22 of the PL. While regional recurrence was noted in only 1 patient of the RT group and 23 of the PL. After PSM, the 5-year overall survival (82.8% vs. 83.9%, p = 0.302), 5-year cancer-specific survival (88.3% vs. 89.7%, p = 0.793), 5-year local relapse-free survival (79.3% vs. 84.5%, p = 0.127) were not significantly different between two groups. However, 5-year regional relapse-free survival in the RT group was significantly better than that in the PL (100% vs. 87.1%, p = 0.014). In the PL group, infection, granuloma, laryngeal stenosis, chylous leakage, and pharyngeal fistula were reported in six, 11, 12, one, and two patients, respectively.Conclusions: RT resulted in comparable rates of survival, local control, and larynx preservation compared to PL. However, RT was associated with higher regional control rate. The complication rates were extremely low in RT group. [ABSTRACT FROM AUTHOR]

The exploration of economical and effective non-noble metal catalysts is essential for oxygen reduction reaction (ORR) in energy devices. Recently, heteroatom-doped metal-organic frameworks (MOFs) have shown great potential in ORR due to their high efficiencies and low costs. Herein, three-dimensional (3D) urchin-like N/S co-doped Mn-based MOFs (U–N/S–Mn-MOFs) as an effective ORR catalyst have been successfully prepared by a facile one-step solvothermal methodology. The unique 3D urchin-like structure with a spherical interior and dendritic exterior may provide more catalytic sites and transport channels for ORR. Simultaneously, the doped N and S combined with Mn can promote oxygen adsorption and reduce the reaction energy barrier. These characteristics endow U–N/S–Mn-MOFs with high ORR performance. The present work provides a new opportunity for multiple heteroatom-doped MOFs to achieve high electrocatalytic performance. • U–N/S–Mn-MOFs have been prepared by a facile one-pot solvothermal methodology. • The impact factors of the prepared MOFs are investigated in detail. • U–N/S–Mn-MOFs exhibit high ORR performance in alkaline medium. • The unique 3D urchin-like structure and N/S codoping ensure high ORR performance. [ABSTRACT FROM AUTHOR]

• Robust and accurate prediction of PWR safety parameters is provided by TCNN. • Sparse connections greatly improve the global awareness of the mode. • Convolutional kernels effectively enhance local feature extraction ability. • Basic blocks consist of residual connections prevent the gradient loss. Accurate forecasts for pressurized water reactor safety parameters are essential to ensure the safe operation of nuclear reactors. Potential of artificial neural networks on this task is limited owing to the lack of extracting the core location information. Sparse connections have unique advantages in discovering correlation between neighboring components and convolution kernels are designed to deal with two-dimensional information. In this paper, topological information embedded convolutional neural network (TCNN) was firstly established and utilized. This model enhanced the ability of fusing location features and component attributes through sparse connections and convolution layers. Datasets of China's Qinshan Nuclear Power Plant Phase II PWR was used to evaluate the performance of TCNN. Comparative and ablation experiments demonstrated that TCNN has superiority in working as efficient predictor for pressurized water reactor safety parameters, indicating that the proposed model promoted the digitalization of nuclear power plants. [ABSTRACT FROM AUTHOR]