bluuebunny/crossref_metadata_2025 huggingface dataset:
Oncolytic adenovirus encoding LHPP exerts potent antitumor effect in lung cancer
Authors: Zhao Yaru , Liu Huihui , Zhan Qi , Jin Hao , Wang Yiqiang , Wang Hui , Huang Biao , Huang Fang , Jia Xiaoyuan , Wang Yigang , Wang Xiaoyan
Published: June 2024

LHPP has been shown to be a new tumor suppressor, and has a tendency to be under-expressed in a variety of cancers. Oncolytic virotheray is a promising therapeutics for lung cancer in recent decade years. Here we successfully constructed a new recombinant oncolytic adenovirus GD55-LHPP and investigated the effect of GD55-LHPP on the growth of lung cancer cells in vitro and in vivo. The results showed that LHPP had lower expression in either lung cancer cells or clinical lung cancer tissues compared with normal cells or tissues, and GD55-LHPP effectively mediated LHPP expression in lung cancer cells. GD55-LHPP could effectively inhibit the proliferation of lung cancer cell lines and rarely affected normal cell growth. Mechanically, the oncolytic adenovirus GD55-LHPP was able to induce stronger apoptosis of lung cancer cells compared with GD55 through the activation of caspase signal pathway. Notably, GD55-LHPP also activated autophagy-related signal pathway. Further, GD55-LHPP efficiently inhibited tumor growth in lung cancer xenograft in mice and prolonged animal survival rate compared with the control GD55 or PBS. In conclusion, the novel construct GD55-LHPP provides a valuable strategy for lung cancer-targeted therapy and develop the role of tumor suppress gene LHPP in lung cancer gene therapy.
Application of density clustering with noise combined with particle swarm optimization in UWB indoor positioning
Authors: Guo Hua , Yin Haozhou , Song Shanshan , Zhu Xiuwei , Ren Daokuan
Published: June 2024

Due to the presence of non-line-of-sight (NLOS) obstacles, the localization accuracy in ultra-wideband (UWB) wireless indoor localization systems is typically substantially lower. To minimize the influence of these environmental factors and improve the accuracy of indoor wireless positioning, this paper proposes a density clustering with noise combined with particle swarm optimization (DCNPSO) to improve UWB positioning. Which exploits the advantages of the density-based spatial clustering algorithm with noise (DBSCAN) and particle swarm optimization (PSO) algorithm. The experimental results show that the DCNPSO algorithm achieves 45.25% and 36.14% higher average positioning accuracy than the DBSCAN and PSO algorithms, respectively. The positioning error of this algorithm remains stable within 3 cm in static positioning and can achieve high accuracy in NLOS environments.
Characterization of dUTPase expression in mouse postnatal development and adult neurogenesis
Authors: Nagy Nikolett , Hádinger Nóra , Tóth Otília , Rácz Gergely Attila , Pintér Tímea , Gál Zoltán , Urbán Martin , Gócza Elen , Hiripi László , Acsády László , Vértessy Beáta G.
Published: June 2024

The enzyme dUTPase has an essential role in maintaining genomic integrity. In mouse, nuclear and mitochondrial isoforms of the enzyme have been described. Here we present the isoform-specific mRNA expression levels in different murine organs during development using RT-qPCR. In this study, we analyzed organs of 14.5-day embryos and of postnatal 2-, 4-, 10-week- and 13-month-old mice. We demonstrate organ-, sex- and developmental stage-specific differences in the mRNA expression levels of both isoforms. We found high mRNA expression level of the nuclear isoform in the embryo brain, and the expression level remained relatively high in the adult brain as well. This was surprising, since dUTPase is known to play an important role in proliferating cells, and mass production of neural cells is completed by adulthood. Thus, we investigated the pattern of the dUTPase protein expression specifically in the adult brain with immunostaining and found that dUTPase is present in the germinative zones, the subventricular and the subgranular zones, where neurogenesis occurs and in the rostral migratory stream where neuroblasts migrate to the olfactory bulb. These novel findings suggest that dUTPase may have a role in cell differentiation and indicate that accurate dTTP biosynthesis can be vital, especially in neurogenesis.
Estimation of the amount of pear pollen based on flowering stage detection using deep learning
Authors: Endo Keita , Hiraguri Takefumi , Kimura Tomotaka , Shimizu Hiroyuki , Shimada Tomohito , Shibasaki Akane , Suzuki Chisa , Fujinuma Ryota , Takemura Yoshihiro
Published: June 2024

Pear pollination is performed by artificial pollination because the pollination rate through insect pollination is not stable. Pollen must be collected to secure sufficient pollen for artificial pollination. However, recently, collecting sufficient amounts of pollen in Japan has become difficult, resulting in increased imports from overseas. To solve this problem, improving the efficiency of pollen collection and strengthening the domestic supply and demand system is necessary. In this study, we proposed an Artificial Intelligence (AI)-based method to estimate the amount of pear pollen. The proposed method used a deep learning-based object detection algorithm, You Only Look Once (YOLO), to classify and detect flower shapes in five stages, from bud to flowering, and to estimate the pollen amount. In this study, the performance of the proposed method was discussed by analyzing the accuracy and error of classification for multiple flower varieties. Although this study only discussed the performance of estimating the amount of pollen collected, in the future, we aim to establish a technique for estimating the time of maximum pollen collection using the method proposed in this study.
Stress–strain curve and elastic behavior of the fibrotic lung with usual interstitial pneumonia pattern during protective mechanical ventilation
Authors: Tonelli Roberto , Rizzoni Raffaella , Grasso Salvatore , Cortegiani Andrea , Ball Lorenzo , Samarelli Anna Valeria , Fantini Riccardo , Bruzzi Giulia , Tabbì Luca , Cerri Stefania , Manicardi Linda , Andrisani Dario , Gozzi Filippo , Castaniere Ivana , Smit Marry R. , Paulus Frederique , Bos Lieuwe D. J. , Clini Enrico , Marchioni Alessandro
Published: June 2024

Patients with acute exacerbation of lung fibrosis with usual interstitial pneumonia (EUIP) pattern are at increased risk for ventilator-induced lung injury (VILI) and mortality when exposed to mechanical ventilation (MV). Yet, lack of a mechanical model describing UIP-lung deformation during MV represents a research gap. Aim of this study was to develop a constitutive mathematical model for UIP-lung deformation during lung protective MV based on the stress–strain behavior and the specific elastance of patients with EUIP as compared to that of acute respiratory distress syndrome (ARDS) and healthy lung. Partitioned lung and chest wall mechanics were assessed for patients with EUIP and primary ARDS (1:1 matched based on body mass index and PaO2/FiO2 ratio) during a PEEP trial performed within 24 h from intubation. Patient’s stress–strain curve and the lung specific elastance were computed and compared with those of healthy lungs, derived from literature. Respiratory mechanics were used to fit a novel mathematical model of the lung describing mechanical-inflation-induced lung parenchyma deformation, differentiating the contributions of elastin and collagen, the main components of lung extracellular matrix. Five patients with EUIP and 5 matched with primary ARDS were included and analyzed. Global strain was not different at low PEEP between the groups. Overall specific elastance was significantly higher in EUIP as compared to ARDS (28.9 [22.8–33.2] cmH2O versus 11.4 [10.3–14.6] cmH2O, respectively). Compared to ARDS and healthy lung, the stress/strain curve of EUIP showed a steeper increase, crossing the VILI threshold stress risk for strain values greater than 0.55. The contribution of elastin was prevalent at lower strains, while the contribution of collagen was prevalent at large strains. The stress/strain curve for collagen showed an upward shift passing from ARDS and healthy lungs to EUIP lungs. During MV, patients with EUIP showed different respiratory mechanics, stress–strain curve and specific elastance as compared to ARDS patients and healthy subjects and may experience VILI even when protective MV is applied. According to our mathematical model of lung deformation during mechanical inflation, the elastic response of UIP-lung is peculiar and different from ARDS. Our data suggest that patients with EUIP experience VILI with ventilatory setting that are lung-protective for patients with ARDS.
Silicon–calcium fertilizer increased rice yield and quality by improving soil health
Authors: Yuan Shuai , Han Yu , Cui Can , Chen Pingping , Tu Naimei , Rang Zhongwen , Yi Zhenxie
Published: June 2024

It is important to ensure the nutritional quality and safe production of rice. Here, plot experiments were used to analyze the effects of three soil amendments—10 t ha−1 of biochar (BC), 1.5 t ha−1 of lime (LM), and 2.25 t ha−1 of silicon–calcium fertilizer (SC)—on the soil characteristics, rice yield and quality of double-cropping rice grown in mildly cadmium-polluted paddy fields. Compared with the control treatment (CK), the BC and SC treatments significantly improved rice processing, appearance and nutritional quality, but reduced cooking quality. All three soil amendments significantly reduced cadmium (Cd) content in brown rice. Soil amendments could significantly increase soil pH and reduce soil available Cd content. The application of the BC and SC treatments increased the content of each nutrient index in the soil (SOM, NN, AP, AK). Correlation analysis showed that the improvement in rice processing, appearance, and nutritional quality was mainly affected by the comprehensive effects of soil SOM, NN, AP and AK; the hygiene quality was mainly affected by soil pH and available Cd. In terms of benefit analysis combined with cost, the SC treatment had the highest benefit effect. Taken together, in mildly cadmium-polluted paddy fields, the application of silicon–calcium fertilizer improved the soil quality, thereby increased the yield and quality of rice, and had the best effect on increasing income.
Enhancing customer retention in telecom industry with machine learning driven churn prediction
Authors: Sikri Alisha , Jameel Roshan , Idrees Sheikh Mohammad , Kaur Harleen
Published: June 2024

Customer churn remains a critical concern for businesses, highlighting the significance of retaining existing customers over acquiring new ones. Effective prediction of potential churners aids in devising robust retention policies and efficient customer management strategies. This study dives into the realm of machine learning algorithms for predictive analysis in churn prediction, addressing the inherent challenge posed by diverse and imbalanced customer churn data distributions. This paper introduces a novel approach—the Ratio-based data balancing technique, which addresses data skewness as a pre-processing step, ensuring improved accuracy in predictive modelling. This study fills gaps in existing literature by highlighting the effectiveness of ensemble algorithms and the critical role of data balancing techniques in optimizing churn prediction models. While our research contributes a novel approach, there remain avenues for further exploration. This work evaluates several machine learning algorithms—Perceptron, Multi-Layer Perceptron, Naive Bayes, Logistic Regression, K-Nearest Neighbour, Decision Tree, alongside Ensemble techniques such as Gradient Boosting and Extreme Gradient Boosting (XGBoost)—on balanced datasets achieved through our proposed Ratio-based data balancing technique and the commonly used Data Resampling. Results reveal that our proposed Ratio-based data balancing technique notably outperforms traditional Over-Sampling and Under-Sampling methods in churn prediction accuracy. Additionally, using combined algorithms like Gradient Boosting and XGBoost showed better results than using single methods. Our study looked at different aspects like Accuracy, Precision, Recall, and F-Score, finding that these combined methods are better for predicting customer churn. Specifically, when we used a 75:25 ratio with the XGBoost method, we got the most promising results for our analysis which are presented in this work.
An ecological assessment of decision-making under risk and ambiguity through the virtual serious game Kalliste Decision Task
Authors: Molins Francisco , Gil-Gómez José-Antonio , Serrano Miguel Ángel , Mesa-Gresa Patricia
Published: June 2024

Traditional methods for evaluating decision-making provide valuable insights yet may fall short in capturing the complexity of this cognitive capacity, often providing insufficient for the multifaceted nature of decisions. The Kalliste Decision Task (KDT) is introduced as a comprehensive, ecologically valid tool aimed at bridging this gap, offering a holistic perspective on decision-making. In our study, 81 participants completed KDT alongside established tasks and questionnaires, including the Mixed Gamble Task (MGT), Iowa Gambling Task (IGT), and Stimulating & Instrumental Risk Questionnaire (S&IRQ). They also completed the User Satisfaction Evaluation Questionnaire (USEQ). The results showed excellent usability, with high USEQ scores, highlighting the user-friendliness of KDT. Importantly, KDT outcomes showed significant correlations with classical decision-making variables, shedding light on participants’ risk attitudes (S&IRQ), rule-based decision-making (MGT), and performance in ambiguous contexts (IGT). Moreover, hierarchical clustering analysis of KDT scores categorized participants into three distinct profiles, revealing significant differences between them on classical measures. The findings highlight KDT as a valuable tool for assessing decision-making, addressing limitations of traditional methods, and offering a comprehensive, ecologically valid approach that aligns with the complexity and heterogeneity of real-world decision-making, advancing research and providing insights for understanding and assessing decision-making across multiple domains.
Genetic diversity and population structure of Physella acuta (Gastropoda: Physidae) in Thailand using mitochondrial gene markers: COI and 16S rDNA
Authors: Dumidae Abdulhakam , Ardpairin Jiranun , Pansri Supawan , Homkaew Chanatinat , Nichitcharoen Mayura , Thanwisai Aunchalee , Vitta Apichat
Published: June 2024

Physella acuta is a freshwater snail native to North America. Understanding the phylogeography and genetic structure of P. acuta will help elucidate its evolution. In this study, we used mitochondrial (COI and 16S rDNA) and nuclear (ITS1) markers to identify the species and examine its genetic diversity, population structure, and demographic history of P. acuta in Thailand. Phylogenetic and network analyses of P. acuta in Thailand pertained to clade A, which exhibits a global distribution. Analysis of the genetic structure of the population revealed that the majority of pairwise comparisons showed no genetic dissimilarity. An isolation-by-distance test indicates no significant correlation between genetic and geographical distances among P. acuta populations, suggesting that gene flow is not restricted by distance. Demographic history and haplotype network analyses suggest a population expansion of P. acuta, as evidenced by the star-like structure detected in the median-joining network. Based on these results, we concluded that P. acuta in Thailand showed gene flow and recent population expansion. Our findings provide fundamental insights into the genetic variation of P. acuta in Thailand.
Global agricultural N2O emission reduction strategies deliver climate benefits with minimal impact on stratospheric O3 recovery
Authors: Weber James , Keeble James , Abraham Nathan Luke , Beerling David J. , Martin Maria Val
Published: June 2024

Agricultural nitrous oxide (N2O) emission reduction strategies are required given the potency of N2O as a greenhouse gas. However, the growing influence of N2O on stratospheric ozone (O3) with declining stratospheric chlorine means the wider atmospheric impact of N2O reductions requires investigation. We calculate a N2O emission reduction of 1.35 TgN2O yr-1 (~5% of 2020 emissions) using spatially separate deployment of nitrification inhibitors ($70–113 tCO2e−1) and crushed basalt (no-cost co-benefit) which also sequesters CO2. In Earth System model simulations for 2025–2075 under high (SSP3-7.0) and low (SSP1-2.6) surface warming scenarios, this N2O mitigation reduces NOx-driven O3 destruction, driving regional stratospheric O3 increases but with minimal impact on total O3 column recovery. By 2075, the radiative forcing of the combined N2O and CO2 reductions equates to a beneficial 9–11 ppm CO2 removal. Our results support targeted agricultural N2O emission reductions for helping nations reach net-zero without hindering O3 recovery.
Integration of pre-treatment computational radiomics, deep radiomics, and transcriptomics enhances soft-tissue sarcoma patient prognosis
Authors: Crombé Amandine , Lucchesi Carlo , Bertolo Frédéric , Kind Michèle , Spalato-Ceruso Mariella , Toulmonde Maud , Chaire Vanessa , Michot Audrey , Coindre Jean-Michel , Perret Raul , Le Loarer François , Bourdon Aurélien , Italiano Antoine
Published: June 2024

Our objective was to capture subgroups of soft-tissue sarcoma (STS) using handcraft and deep radiomics approaches to understand their relationship with histopathology, gene-expression profiles, and metastatic relapse-free survival (MFS). We included all consecutive adults with newly diagnosed locally advanced STS (N = 225, 120 men, median age: 62 years) managed at our sarcoma reference center between 2008 and 2020, with contrast-enhanced baseline MRI. After MRI postprocessing, segmentation, and reproducibility assessment, 175 handcrafted radiomics features (h-RFs) were calculated. Convolutional autoencoder neural network (CAE) and half-supervised CAE (HSCAE) were trained in repeated cross-validation on representative contrast-enhanced slices to extract 1024 deep radiomics features (d-RFs). Gene-expression levels were calculated following RNA sequencing (RNAseq) of 110 untreated samples from the same cohort. Unsupervised classifications based on h-RFs, CAE, HSCAE, and RNAseq were built. The h-RFs, CAE, and HSCAE grouping were not associated with the transcriptomics groups but with prognostic radiological features known to correlate with lower survivals and higher grade and SARCULATOR groups (a validated prognostic clinical-histological nomogram). HSCAE and h-RF groups were also associated with MFS in multivariable Cox regressions. Combining HSCAE and transcriptomics groups significantly improved the prognostic performances compared to each group alone, according to the concordance index. The combined radiomic-transcriptomic group with worse MFS was characterized by the up-regulation of 707 genes and 292 genesets related to inflammation, hypoxia, apoptosis, and cell differentiation. Overall, subgroups of STS identified on pre-treatment MRI using handcrafted and deep radiomics were associated with meaningful clinical, histological, and radiological characteristics, and could strengthen the prognostic value of transcriptomics signatures.
Automated assessment of cardiac dynamics in aging and dilated cardiomyopathy Drosophila models using machine learning
Authors: Melkani Yash , Pant Aniket , Guo Yiming , Melkani Girish C.
Published: June 2024

The Drosophila model is pivotal in deciphering the pathophysiological underpinnings of various human ailments, notably aging and cardiovascular diseases. Cutting-edge imaging techniques and physiology yield vast high-resolution videos, demanding advanced analysis methods. Our platform leverages deep learning to segment optical microscopy images of Drosophila hearts, enabling the quantification of cardiac parameters in aging and dilated cardiomyopathy (DCM). Validation using experimental datasets confirms the efficacy of our aging model. We employ two innovative approaches deep-learning video classification and machine-learning based on cardiac parameters to predict fly aging, achieving accuracies of 83.3% (AUC 0.90) and 79.1%, (AUC 0.87) respectively. Moreover, we extend our deep-learning methodology to assess cardiac dysfunction associated with the knock-down of oxoglutarate dehydrogenase (OGDH), revealing its potential in studying DCM. This versatile approach promises accelerated cardiac assays for modeling various human diseases in Drosophila and holds promise for application in animal and human cardiac physiology under diverse conditions.
An orange peel-based hydrogel composite for touch-responsive electronic skin
Authors: Ran Zhuoqing , Xu Jie , Zeng Wenyan , Leng Yongping , Wu Bin , Zhan Xueqing , Tsai Fang-Chang , Ma Ning
Published: June 2024

As global environmental issues increase, sustainable use, disposal, and production of materials play an important role. The world produces 1.3 billion tons of food waste annually, of which about 15% are edible fruit peels. Here, we use freeze-dried orange peels as the main material in a hydrogel to prepare a flexible, natural, biocompatible, and sustainably produced electronic skin. We introduce the lyophilized mesocarp of orange and a copper-based metal-organic framework into a polyvinyl alcohol/hyaluronic acid matrix hydrogel, which can occur under mild conditions. The design allows the polymers to connect through intermolecular interactions rather than covalent bonding, which improves the material’s mechanical properties while retaining the self-healing ability. The orange peel-based hydrogel exhibits high elongation at break (290%), enhanced tensile stress, self-healing, conductivity (0.14 S/m), and antibacterial properties (95.3%). These results demonstrate an option for environmentally friendly materials for electronic skin.
A machine learning-based approach for constructing remote photoplethysmogram signals from video cameras
Authors: Castellano Ontiveros Rodrigo , Elgendi Mohamed , Menon Carlo
Published: June 2024

Background

Advancements in health monitoring technologies are increasingly relying on capturing heart signals from video, a method known as remote photoplethysmography (rPPG). This study aims to enhance the accuracy of rPPG signals using a novel computer technique.

Methods

We developed a machine-learning model to improve the clarity and accuracy of rPPG signals by comparing them with traditional photoplethysmogram (PPG) signals from sensors. The model was evaluated across various datasets and under different conditions, such as rest and movement. Evaluation metrics, including dynamic time warping (to assess timing alignment between rPPG and PPG) and correlation coefficients (to measure the linear association between rPPG and PPG), provided a robust framework for validating the effectiveness of our model in capturing and replicating physiological signals from videos accurately.

Results

Our method showed significant improvements in the accuracy of heart signals captured from video, as evidenced by dynamic time warping and correlation coefficients. The model performed exceptionally well, demonstrating its effectiveness in achieving accuracy comparable to direct-contact heart signal measurements.

Conclusions

This study introduces a novel and effective machine-learning approach for improving the detection of heart signals from video. The results demonstrate the flexibility of our method across various scenarios and its potential to enhance the accuracy of health monitoring applications, making it a promising tool for remote healthcare.
Recent advancements in physical and chemical MEMS sensors
Authors: Tanaka Yo
Published: June 2024

This review classifies MEMS sensors (both physical and chemical) in terms of their targets and explains their fundamental principles and trends. It also introduces the parallelization of different types of sensors or sensing functions.
Synthesis and catalytic application of a donor-free bismuthenium cation
Authors: Sen Nilanjana , Sarkar Pallavi , Meena Yadram , Tothadi Srinu , Pati Swapan K. , Khan Shabana
Published: June 2024

We report a new donor-free bismuthenium cation and its use as an efficient catalyst for the cyanosilylation of ketones.
Stability, electronic properties, and decomposition mechanisms of 2,6-diamino-3,5-dinitropyrazine-1-oxide crystals with different vacancy defects
Authors: Mei Mengyun , Sun Zijian , Ji Jincheng , Zhu Weihua
Published: June 2024

The effects of vacancies on the energies, electronic properties and thermal decomposition mechanisms of LLM-105 crystal were investigated by theoretical studies.
Morphology characterization of dendrites on lithium metal electrodes by NMR spectroscopy
Authors: Maldonado-Ochoa Santiago Agustín , Zampieri Muriel , Otero Manuel , Vaca Chávez Fabián
Published: June 2024

The impact of dendrite geometry on the 7Li NMR spectrum was explored through numerical calculations of the magnetic field. Dendrites were modeled as cylinders with diverse heights, diameters, densities, and orientations relative to the static field.
Kinetics of hydrogen absorption/desorption in the Zr–2.5Nb alloy
Authors: Wang Xue-Feng , Wang Meng-Xuan , Cao Kun , Liu Dawei , Zhang Feng , Chen Jun , Ye Xiao-Qiu
Published: June 2024

Temperature and deuterium content regulate the microstructure of Zr–2.5Nb, reflecting two macroscopic gas–solid reaction mechanisms.
Atomic engineering of two-dimensional materials via liquid metals
Authors: Li Lin , Zhang Qing , Geng Dechao , Meng Hong , Hu Wenping
Published: June 2024

The usage of liquid metal or alloy enables the fabrication of various 2D atomic crystals. This review fully examines the synthetic methods, condition-behavior relationship, and atomic engineering in this field, emphasizing a promising future.
Achievements, challenges, and perspectives in the design of polymer binders for advanced lithium-ion batteries
Authors: He Qiang , Ning Jiaoyi , Chen Hongming , Jiang Zhixiang , Wang Jianing , Chen Dinghui , Zhao Changbin , Liu Zhenguo , Perepichka Igor F. , Meng Hong , Huang Wei
Published: June 2024

The design of binders for lithium-ion batteries is highlighted, with an emphasis on key parameters affecting device performance and failure mechanisms. These issues are discussed in detail using the example of a silicon anode and a sulfur cathode.
Electric effects reinforce charge carrier behaviour for photocatalysis
Authors: Shu Aoqiang , Qin Chencheng , Li Miao , Zhao Luna , Shangguan Zichen , Shu Zihan , Yuan Xingzhong , Zhu Mingshan , Wu Yan , Wang Hou
Published: June 2024

Recent studies on enhancing charge carrier behavior through electric effects for efficient photocatalysis are summarized, evaluating the in-depth function of these effects. This provides  unique perspectives to optimize photocatalytic processes.
Assessment of nano silicon fertilizer effects on soil nutrients, enzyme activities, and microbial communities
Authors: Zhu Pengfei , Chen Shuang , Shi Yan
Published: June 2024

Nano silicon fertilizer can provide new guidance in agricultural production and soil improvement by improving nutrients, enzyme activities and microbial diversity of soil.
Multi-omics analysis of kidney tissue metabolome and proteome reveals the protective effect of sheep milk against adenine-induced chronic kidney disease in mice
Authors: Wei Mengyao , Liu Jiaxin , Wang Xiaofei , Liu Xiaorui , Jiang Luyao , Jiang Yue , Ma Yingtian , Wang Jiangang , Yuan Hao , An Xiaopeng , Song Yuxuan , Zhang Lei
Published: June 2024

Sheep milk improves physiological and biochemical indices of chronic kidney in mice. Renal proteomics and metabolomics results indicate that sheep milk can affect signaling pathways such as protein, fatty acid, mineral, hormones and HIF.
Polymer configuration conversion mechanism in dynamically stable interface of silicon anodes
Authors: Ye Qiaoqiao , Jiang Miaomiao , Zhang Yingbing , Chen Lei , Ma Yuanyuan , Yang Jianping
Published: June 2024

During the lithiation process, –CN– groups in the PHATN coordinate with Li+ to form –C–N–Li– bonds on PHATN molecule layer. The dynamic volume change of the PHATN molecule provides excellent protection against structural collapse.
Performance of ferrite nanoparticles in inductive heating swing adsorption (IHSA): how tailoring material properties can circumvent the design limitations of a system
Authors: De Belder Maxim , Morais Alysson F. , De Vos Natan , Van Meervelt Luc , Denayer Joeri F.M. , Martens Johan A. , Breynaert Eric
Published: June 2024

Tailoring inductor material properties such as coercivity and magnetic susceptibility via chemical composition is key to maximize heating performance within the limits of real-world inductive heating swing adsorption processes.
Contrast enhanced photoacoustic detection of fibrillar collagen in the near infrared region-I
Authors: Solomonov Inna , Locatelli Irene , Tortorella Silvia , Unni Manu , Aharoni Shay-Lee , Alchera Elisa , Locatelli Erica , Maturi Mirko , Venegoni Chiara , Lucianò Roberta , Salonia Andrea , Corti Angelo , Curnis Flavio , Grasso Valeria , Malamal Gayathri , Jose Jithin , Comes Franchini Mauro , Sagi Irit , Alfano Massimo
Published: June 2024

Efficient conjugation of the MMP1-decoy to GNRs for imaging fibrillar collagen in NIR-I.
Molecular design for sub-micromolar enzyme-instructed self-assembly (EISA)
Authors: Liu Qihui , Ntim Thomas , Wu Zhiyuan , Houson Hailey A. , Lapi Suzanne E. , Lindsey Jonathan S.
Published: June 2024

Enzyme-instructed self-assembly (EISA) has been explored for many applications in the life sciences including imaging and therapeutics.
Synthesis of micro-crosslinked adamantane-containing matrix resins designed for deep-UV lithography resists and their application in nanoimprint lithography
Authors: Yang Zi-Hao , Zhao Jing , Cai Ya-Juan , Yang Xu , Zhao Chuan-Zhe , Liu Yang , Li Yi-Bo , Sang Ke-Xiao , Sun Yi-Xing , Wu Ya-Ge , Wei Nan-Jun , Gai Jing-Gang
Published: June 2024

A certain type of photoresist used for deep-UV lithography (DUVL) can also be used for other types of photolithography.
Hydroboration and hydrosilylation of alkenes catalyzed by an unsymmetrical magnesium methyl complex
Authors: Zhang Xuguang , Lu Kai , Chen Xi , Su Guanxin , Rong Xiaofei , Ma Mengtao
Published: June 2024

The unsymmetrical β-diketiminate magnesium methyl complex has been employed as a highly efficient catalyst in the hydroboration and hydrosilylation of various alkenes, with high isolated yields and high regioselectivities under mild conditions.
Fabrication of a Cu(i)-carboxylate metal–organic framework by reduction of metal nodes for an azide–alkyne “click” reaction
Authors: Hou Xiaojiao , He Wenxiu , Zhai Xu , Chen Bingbing , Fu Yuanlin , Zhang Liying , Chen Junyi , Fu Yu
Published: June 2024

A stable Cu(i)-carboxylate MOF is fabricated by ascorbic acid reduction, which breaks HSAB theory and achieves in situ phase transitions. The resultant Cu2H2DOBDC acting as a CuAAC catalyst exhibited superior catalytic performance.
Band edge modulation via a hydrogen-bond-free cation in hybrid bismuth iodine for overall photocatalytic CO2 reduction
Authors: Liu Guang-Ning , Gao Cheng-Cheng , Qi Fangzheng , Chen Wen-Tong , Zhang Ning-Ning , Sun Yiqiang , Zhao Huaiqing , Chen Guozhu , Li Cuncheng
Published: June 2024

The first hybrid bismuth halide-based overall CO2 reduction photocatalyst was designed, and it exhibited highly efficient and high selectivity photocatalytic CO2 to CO reduction in a pure water system.
Catalytic alkane C–H functionalization by carbene insertion into unactivated C(sp3)–H bonds
Authors: Pan Yongzhen , Wang Yeming , Karmakar Swastik , Sivaguru Paramasivam , Liu Zhaohong
Published: June 2024

This review summarizes the developments in the C–H functionalization of saturated hydrocarbons (CnH2n+2 and CnH2n) through catalytic carbene insertion into their C–H bonds dated up to February 2024, based on the categories of the types of carbenes.
Electrically tunable on-chip quantum Deutsch–Jozsa algorithm with lithium niobate metasurfaces
Authors: Li Haoyu , Yang Ruisheng , Zhang Yinan , Dou Linyuan , Luo Yijie , Liang Haigang , Fan Yuancheng , Wei Zeyong
Published: June 2024

An on-chip quantum Deutsch–Jozsa algorithm device enables electrical tuning by applying varying external voltages to each unit via two gates.
3D flower-like bimetallic Ni–Co metal–organic framework as an electrocatalyst for the oxygen evolution reaction
Authors: Shuai Chao , Kong Chao , Li Yingying , Zhang Liang , Qi Caiju , Mo Zunli
Published: June 2024

3D flower-like bimetallic MOF (F-Ni1Co4-BTC) was successfully designed and synthesized and exhibited excellent OER activity. Moreover, fixed on the surface of a carbon cloth, F-Ni1Co4-BTC realized high OER activity and long-term durability.
Antioxidant activity of an inclusion complex between rutin and β-cyclodextrin: experimental and quantum chemical studies
Authors: Pham Thi Lan , Ha Nguyen Thi Thu , Nguyen Tuan Anh , Le-Deygen Irina , Hanh Le Thi My , Vu Xuan Minh , Le Hai Khoa , Van Cuong Bui , Usacheva T. R. , Mai Thanh Tung , Tran Dai Lam
Published: June 2024

The antioxidant capacity of an inclusion complex between rutin and β-cyclodextrin has been evaluated and confirmed through theoretical calculations.
Probing the microstructure and deformation mechanism of an FeCoCrNiAl0.5 high entropy alloy during nanoscratching: a combined atomistic and physical model study
Authors: Zhang Yong , Yang Wenfei , Peng Jing , Wang Andong , Fan Weijie , Li Jia
Published: June 2024

The microstructure and deformation mechanism of an FeCoCrNiAl0.5 high entropy alloy during nanoscratching is studied using a combined atomistic and physical model study.
Quantifying Siglec-sialylated ligand interactions: a versatile 19F-T2 CPMG filtered competitive NMR displacement assay
Authors: Atxabal Unai , Fernández Andrea , Moure Maria Jesús , Sobczak Klaudia , Nycholat Corwin , Almeida-Marrero Verónica , Oyenarte Iker , Paulson James C. , Escosura Andrés de la , Torres Tomás , Reichardt Niels C. , Jiménez-Barbero Jesús , Ereño-Orbea June
Published: June 2024

Sialic-acid-binding immunoglobulin-like lectins (Siglecs) are integral cell surface proteins crucial for the regulation of immune responses and the maintenance of immune tolerance through interactions with sialic acids.
An imidazole-based covalent-organic framework enabling a super-efficiency in sunlight-driven uranium extraction from seawater
Authors: Zhong Lizhen , Feng Xuefeng , Zhang Qingyun , Xie Xianqing , Luo Feng
Published: June 2024

The natural sunlight is for the first time used to acquire the key of nuclear energy, uranium, from natural seawater with an ultrahigh extraction efficiency of 6.9 mg g−1 day−1 upon a novel COF photocatalyst with ultralow exciton binding energy.
A comprehensive review on advanced supercapacitors based on transition metal tellurides: from material engineering to device fabrication
Authors: Debbarma Chumuiria , Radhakrishnan Sithara , Jeong Sang Mun , Rout Chandra Sekhar
Published: June 2024

The utilization of transition metal tellurides in supercapacitors holds great promise for advancing energy storage technology, offering high performance, stability, tunability, and sustainability.
Enhancement of single-atom catalytic activity by interlayer charge transfer in electride-based heterostructures
Authors: Tang Jiahui , Wang Xiaocha , Zhou Baozeng
Published: June 2024

Single-atom activity will be enhanced by interlayer charge transfer in electride-based heterostructures.
Modeling Chandy–Lamport Distributed Snapshot Algorithm Using Colored Petri Net
Authors: Pashazadeh Saeid , Al-Basseer Basheer Zuhair Jaafar , Tanha Jafar
Published: June 2024

Distributed global snapshot (DGS) is one of the fundamental protocols in distributed systems. It is used for different applications like collecting information from a distributed system and taking checkpoints for process rollback. The Chandy–Lamport protocol (CLP) is famous and well‐known for taking DGS. The main aim of this protocol was to generate consistent cuts without interrupting the regular operation of the distributed system. CLP was the origin of many future protocols and inspired them. The first aim of this paper is to propose a novel formal hierarchical parametric colored Petri net model of CLP. The number of constituting processes of the model is parametric. The second aim is to automatically generate a novel message sequence chart (MSC) to show detailed steps for each simulation run of the snapshot protocol. The third aim is model checking of the proposed formal model to verify the correctness of CLP and our proposed colored Petri net model. Having vital tools helps greatly to test the correct operation of the newly proposed distributed snapshot protocol. The proposed model of CLP can easily be used for visually testing the correct operation of the new future under‐development DGS protocol. It also permits formal verification of the correct operation of the new proposed protocol. This model can be used as a simple, powerful, and visual tool for the step‐by‐step run of the CLP, model checking, and teaching it to postgraduate students. The same approach applies to similar complicated distributed protocols.
A composite spread spectrum sequence for underwater acoustic signal acquisition
Authors: Zhang Chenyu , Wu Huabing
Published: June 2024

Spread spectrum technology has been widely employed for positioning and communicating with autonomous underwater vehicles (AUVs), but conventional spread spectrum sequences lack confidentiality and reliability in UWA channel. Considering the limitations of conventional sequences and the characteristics of underwater acoustic (UWA) channel, a composite chaotic orthogonal sequence (CCOS) based on the UWA channel is proposed. The confidentiality of the CCOS is superior to that of the m‐sequence, while the autocorrelation performance of the CCOS is superior to that of the orthogonal sequence. Moreover, the CCOS can compensate for the imbalance of logistic chaotic sequence when assigned certain initial values. Acquisition is a crucial component of accessing the spread spectrum signal; therefore, the acquisition performance indicates the applicability of the CCOS. The source–target model is established to simulate communication with an underwater moving target. To simulate the acquisition process, a parallel algorithm based on fast Fourier transform is adopted, and the entire simulation process is completed based on the BELLHOP ray acoustic model. Through data processing, the Doppler shift error is less than half of the frequency‐search element. Furthermore, the acquisition probabilities of the CCOS with different numbers of bits are over 90%, which demonstrates the reliability of the CCOS.
Quantum‐inspired Arecanut X‐ray image classification using transfer learning
Authors: Naik Praveen M. , Rudra Bhawana
Published: June 2024

Arecanut X‐ray images accurately represent their internal structure. A comparative analysis of transfer learning‐based classification, employing both a traditional convolutional neural network (CNN) and an advanced quantum convolutional neural network (QCNN) approach is conducted. The investigation explores various transfer learning models with different sizes to identify the most suitable one for achieving enhanced accuracy. The Shufflenet model with a scale factor of 2.0 attains the highest classification accuracy of 97.72% using the QCNN approach, with a model size of 28.40 MB. Out of the 12 transfer learning models tested, 9 exhibit improved classification accuracy when using QCNN models compared to the traditional CNN‐based transfer learning approach. Consequently, the exploration of CNN and QCNN‐based classification reveals that QCNN outperforms traditional CNN models in accuracy within the transfer learning framework. Further experiments with qubits suggest that utilising 4 qubits is optimal for classification operations in this context.
Robustness of reinforced concrete structural systems under accidental actions
Authors: Savin Sergey
Published: June 2024

The purpose of this study was to create computational models and criteria for assessing the robustness of reinforced concrete frames of multi-storey buildings in case of stability failure of their elements under accidental actions accounting for the mode of loading and energy dissipation. Experimental studies of deformation and fracture of reinforced concrete frames under an accidental impact allowed to identify, depending on the design solutions, two characteristic failure mechanisms: due to the loss of cross-sectional strength for frames of the first and second types with the slenderness of the columns of 4.8; due to the loss of stability for the frame of the third type with the slenderness of the columns of 22. Application of the theory of structural stability and dynamics allowed to construct a multi-level design model and an algorithm for assessing the stability of physically and structurally nonlinear frames. The study formulates and substantiates the criteria of stability failure of the eccentrically compressed elements and the structural system as a whole under an accidental action. As such criteria the following ones are considered: equality to zero of the increment of deformation energy of the system or achievement of zero tangent stiffness of its elements.
Survivability of multi-storey building frame with prestressed elements
Authors: Kolchunov Vitaly , Iliushchenko Tatiana
Published: June 2024

The results of theoretical studies of dynamic additional loads in prestressed structures of reinforced concrete frames of multi-storey buildings in beyond design states caused by special or emergency effects are presented. A numerical study of the deformation and destruction of reinforced concrete frames with a sudden change in power flows in them was carried out using level primary and secondary design schemes in two versions of design solutions: 1) with reinforcement of beams with prestressed reinforcement installed in the lower section of the beam, 2) with double reinforcement with prestressed reinforcement in the upper and lower zones. The influence of various schemes and levels of prestressing of structures on the values of the coefficients of dynamic additional loads in the considered structurally and physically nonlinear systems with a sudden change in force flows caused by unstable failure of stretched concrete at the time of cracking and structural restructuring of the structural system has been established. The obtained solutions are compared with the results of experimental studies. Recommendations are given on the use in the structures of reinforced concrete frame structures of multi-storey buildings to increase their survivability and protection against progressive collapse.
Masonry rehabilitation of damaged by explosive dynamic impacts
Authors: Kabancev Oleg V. , Simakov Oleg A.
Published: June 2024

The article considers the issue of repair of masonry that has received specific damage as a result of explosive dynamic impacts. The characteristic variants of masonry damage are considered, based on the operating stresses. A detailed analysis of the mechanisms of the masonry work in case of damage as a result of an explosion, as well as after reinforcement with an external application of shotcrete was carried out. The practical aspects of the use of shotcrete to strengthen masonry that has been destroyed as a result of explosive dynamic effects are considered, in terms of the features of the interaction of the external application with the masonry, the stages of work on the application of shotcrete in order to effectively include reinforcement elements in the work, the key physical and mechanical characteristics of shotcrete. The results of practical application of masonry reinforcement technology by external applications for a specific multi-storey building damaged as a result of explosive impacts are presented. Based on the results, the conclusion is made
Prosecutor's Supervision as a Means of Ensuring Safety in the Construction Sector
Authors: Zhumashev Azamat B. , Lustig Steven , Rysmendeev Baktybek Djenishbekovich , Mazitov Ravil Yagsupovich , Mamatazizova Elmira Kubanichbekovna , Mamatazizova Nurila Kubanychbekovna
Published: June 2024

The article analyzes how prosecutorial supervision over the implementation of legislation contributes to sustainable development in the Kyrgyz Republic. The results of the study can be used for further scientific developments on the problems of rule-making legislation on entrepreneurial activity in the field of construction. Conclusions and the recommendations arising from them reflect the practical activities of the prosecutor's office and can serve as a basis for improving existing legislation and supporting the building of democracy and sustainable economic development of the state.
Analysis of the Morphological Design Features of the Hospital Physical Facilities in Southwest, Nigeria
Authors: Akinluyi Muyiwa L.
Published: June 2024

This study analyzed the morphological design features of the hospital physical facilities in Southwest, Nigeria. A lot of research work has evaluated different aspects of hospital design features while only a few of the previous studies included the morphological design characteristics of the physical facilities in their conceptual framework. As a result, hospital facilities are poor at meeting the needs and expectations of users due to the limited studies which have not been clearly understood and adequately carried out within the research circle. This is suggested in this study to provide better solutions to the problem. This study adopted a primary method of data collection which involved the use of 557 structured questionnaires randomly administered to three categories of users. The semi-structured interviews (SSI) were purposely administered to users to support the information obtained through the questionnaires. Through purposive sampling, buildings were restricted to four (4) buildings or departments at the Federal Universities Teaching Hospitals (FUTH) in southwest, Nigeria. Data obtained was analyzed at different levels and morphological design characteristics were assessed to be very adequate while other interior spaces need urgent attention. The study helps hospital policymakers in making appropriate decisions that can improve the healthcare environment in Nigeria.
Calculation of base loadings of cement concrete roads in extreme continental climate conditions
Authors: Smolyaninov Anatoly , Alibaeva Arman , Urkhanova Larisa , Tkach Evgeniya , Mukhambetkaliev Kairat
Published: June 2024

In Kazakhstan, the construction of more than 1,600 kilometers of cement concrete roads in various regions over the past 15 years has made a significant contribution to improving the country's transport infrastructure. This development is driven by the strategic importance of transport corridors and the increasing intensity of truck traffic, which requires improved transport efficiency, safety and environmental sustainability. The modernization of road infrastructure not only increases the efficiency of vehicles and the speed of cargo delivery, but also plays a crucial role in sustainable economic development, attracting investment, expanding trade and increasing the competitiveness of regional economies. This article examines the importance of cement concrete roads in the transport network of Kazakhstan and their role in achieving these goals. In particular, it emphasizes the need to use high-quality building materials, including modified concretes with improved performance, for road construction projects. In addition, the article discusses modern high-strength concrete mixtures and their composition, emphasizes the importance of accurate dosing to achieve the desired technical characteristics and properties. Overall, this study highlights the crucial role of cement concrete roads in the development of Kazakhstan's transport infrastructure, promoting economic growth and mitigating environmental impacts through efficiency and sustainability measures.