bluuebunny/crossref_metadata_2025 huggingface dataset:
Neutralizing immunity against coronaviruses in Tanzanian health care workers
Authors: Barabona Godfrey , Ngare Isaac , Kamori Doreen , Nkinda Lilian , Kosugi Yusuke , Mawazo Ambele , Ekwabi Rayi , Kinasa Gloria , Chuwa Harrison ,   The Genotype to Phenotype Japan (G2P-Japan) Consortium, Matsuno Keita , Nao Naganori , Sawa Hirofumi , Tanaka Shinya , Tsuda Masumi , Wang Lei , Oda Yoshikata , Ferdous Zannatul , Shishido Kenji , Fukuhara Takasuke , Tamura Tomokazu , Suzuki Rigel , Suzuki Saori , Ito Hayato , Kaku Yu , Misawa Naoko , Plianchaisuk Arnon , Guo Ziyi , Hinay Alfredo A. , Uriu Keiya , Tolentino Jarel Elgin M. , Chen Luo , Pan Lin , Suganami Mai , Chiba Mika , Yoshimura Ryo , Yasuda Kyoko , Iida Keiko , Ohsumi Naomi , Strange Adam P. , Tanaka Shiho , Yoshimura Kazuhisa , Sadamasu Kenji , Nagashima Mami , Asakura Hiroyuki , Yoshida Isao , Nakagawa So , Shirakawa Kotaro , Takaori-Kondo Akifumi , Nagata Kayoko , Nomura Ryosuke , Horisawa Yoshihito , Tashiro Yusuke , Kawai Yugo , Takayama Kazuo , Hashimoto Rina , Deguchi Sayaka , Watanabe Yukio , Sakamoto Ayaka , Yasuhara Naoko , Hashiguchi Takao , Suzuki Tateki , Kimura Kanako , Sasaki Jiei , Nakajima Yukari , Yajima Hisano , Irie Takashi , Kawabata Ryoko , Tabata Kaori , Ikeda Terumasa , Nasser Hesham , Shimizu Ryo , Begum M. S. T. Monira , Jonathan Michael , Mugita Yuka , Takahashi Otowa , Ichihara Kimiko , Motozono Chihiro , Ueno Takamasa , Toyoda Mako , Saito Akatsuki , Shofa Maya , Shibatani Yuki , Nishiuchi Tomoko , Sato Kei , Sunguya Bruno , Ueno Takamasa
Published: March 2024

The ongoing vaccination efforts and exposure to endemic and emerging coronaviruses can shape the population's immunity against this group of viruses. In this study, we investigated neutralizing immunity against endemic and emerging coronaviruses in 200 Tanzanian frontline healthcare workers (HCWs). Despite low vaccination rates (19.5%), we found a high SARS-CoV-2 seroprevalence (94.0%), indicating high exposure in these HCWs. Next, we determined the neutralization capacity of antisera against human coronavirus NL63, and 229E, SARS-CoV-1, MERS-CoV and SARS-CoV-2 (including Omicron subvariants: BA.1, BQ.1.1 and XBB.1.5) using pseudovirus neutralization assay. We observed a broad range of neutralizing activity in HCWs, but no neutralization activity detected against MERS-CoV. We also observed a strong correlation between neutralizing antibody titers for SARS-CoV-2 and SARS-CoV-1, but not between other coronaviruses. Cross-neutralization titers against the newer Omicron subvariants, BQ.1.1 and XBB.1.5, was significantly reduced compared to BA.1 and BA.2 subvariants. On the other hand, the exposed vaccinated HCWs showed relatively higher median cross-neutralization titers against both the newer Omicron subvariants and SARS-CoV-1, but did not reach statistical significance. In summary, our findings suggest a broad range of neutralizing potency against coronaviruses in Tanzanian HCWs with detectable neutralizing immunity against SARS-CoV-1 resulting from SARS-CoV-2 exposure.
Peak ground acceleration prediction for on-site earthquake early warning with deep learning
Authors: Liu Yanqiong , Zhao Qingxu , Wang Yanwei
Published: March 2024

Rapid and accurate prediction of peak ground acceleration (PGA) is an important basis for determining seismic damage through on-site earthquake early warning (EEW). The current on-site EEW uses the feature parameters of the first arrival P-wave to predict PGA, but the selection of these feature parameters is limited by human experience, which limits the accuracy and timeliness of predicting peak ground acceleration (PGA). Therefore, an end-to-end deep learning model is proposed for predicting PGA (DLPGA) based on convolutional neural networks (CNNs). In DLPGA, the vertical initial arrival 3–6 s seismic wave from a single station is used as input, and PGA is used as output. Features are automatically extracted through a multilayer CNN to achieve rapid PGA prediction. The DLPGA is trained, verified, and tested using Japanese seismic records. It is shown that compared to the widely used peak displacement (Pd) method, the correlation coefficient of DLPGA for predicting PGA has increased by 12–23%, the standard deviation of error has decreased by 22–25%, and the error mean has decreased by 6.92–19.66% with the initial 3–6 s seismic waves. In particular, the accuracy of DLPGA for predicting PGA with the initial 3 s seismic wave is better than that of Pd for predicting PGA with the initial 6 s seismic wave. In addition, using the generalization test of Chilean seismic records, it is found that DLPGA has better generalization ability than Pd, and the accuracy of distinguishing ground motion destructiveness is improved by 35–150%. These results confirm that DLPGA has significant accuracy and timeliness advantages over artificially defined feature parameters in predicting PGA, which can greatly improve the effect of on-site EEW in judging the destructiveness of ground motion.
Comparison of pulsed and continuous electromagnetic field generated by WPT system on human dermal and neural cells
Authors: Zahumenska Romana , Badurova Bibiana , Pavelek Miroslav , Sojka Peter , Pavlisova Tereza , Spanik Pavol , Sivonova Monika Kmetova , Novakova Slavomira , Strnadel Jan , Halasova Erika , Frivaldsky Michal , Skovierova Henrieta
Published: March 2024

In recent decades, we have seen significant technical progress in the modern world, leading to the widespread use of telecommunications systems, electrical appliances, and wireless technologies. These devices generate electromagnetic radiation (EMR) and electromagnetic fields (EMF) most often in the extremely low frequency or radio-frequency range. Therefore, they were included in the group of environmental risk factors that affect the human body and health on a daily basis. In this study, we tested the effect of exposure EMF generated by a new prototype wireless charging system on four human cell lines (normal cell lines—HDFa, NHA; tumor cell lines—SH-SY5Y, T98G). We tested different operating parameters of the wireless power transfer (WPT) device (87–207 kHz, 1.01–1.05 kW, 1.3–1.7 mT) at different exposure times (pulsed 6 × 10 min; continuous 1 × 60 min). We observed the effect of EMF on cell morphology and cytoskeletal changes, cell viability and mitotic activity, cytotoxicity, genotoxicity, and oxidative stress. The results of our study did not show any negative effect of the generated EMF on either normal cells or tumor cell lines. However, in order to be able to estimate the risk, further population and epidemiological studies are needed, which would reveal the clinical consequences of EMF impact.
Metabolic profiling of bacteria with the application of polypyrrole-MOF SPME fibers and plasmonic nanostructured LDI-MS substrates
Authors: Mametov Radik , Sagandykova Gulyaim , Monedeiro Fernanda , Florkiewicz Aleksandra , Piszczek Piotr , Radtke Aleksandra , Pomastowski Pawel
Published: March 2024

Here we present application of innovative lab-made analytical devices such as plasmonic silver nanostructured substrates and polypyrrole-MOF solid-phase microextraction fibers for metabolic profiling of bacteria. For the first time, comprehensive metabolic profiling of both volatile and non-volatile low-molecular weight compounds in eight bacterial strains was carried out with utilization of lab-made devices. Profiles of low molecular weight metabolites were analyzed for similarities and differences using principal component analysis, hierarchical cluster analysis and random forest algorithm. The results showed clear differentiation between Gram positive (G+) and Gram negative (G−) species which were identified as distinct clusters according to their volatile metabolites. In case of non-volatile metabolites, differentiation between G+ and G− species and clustering for all eight species were observed for the chloroform fraction of the Bligh & Dyer extract, while methanolic fraction failed to recover specific ions in the profile. Furthermore, the results showed correlation between volatile and non-volatile metabolites, which suggests that lab-made devices presented in the current study might be complementary and therefore, useful for species differentiation and gaining insights into bacterial metabolic pathways.
Risk factor analysis and clinicopathological characteristics of female dogs with mammary tumours from a single-center retrospective study in Poland
Authors: Dolka Izabella , Czopowicz Michał , Stopka Diana , Wojtkowska Agata , Kaszak Ilona , Sapierzyński Rafał
Published: March 2024

This is a comprehensive retrospective study to characterize female dogs with canine mammary tumors (CMTs) using a dataset retrieved from the archives of the Division of Animal Pathology, Institute of Veterinary Medicine in Warsaw, and to identify prognostic factors. Clinical and histopathological data of 1447 dogs with CMTs were included. Malignant tumours were found in 83.3% (n = 1206), benign tumours in 11.7% (n = 169), and non-neoplastic lesions in 5.0% (n = 72) of dogs. Dogs most often had grade II carcinomas (38.2%, 215/562) of a single histological subtype (88.5%, 1281/1447), mostly simple carcinoma (35.3%, 510/1447). Dogs with a median age of 10 years significantly often had larger (≥ 3 cm) and malignant CMTs, whereas intact females had smaller tumours (median size 2.0 cm). However, the threshold value for the age of the dog in the differentiation of malignant and non-neoplastic/benign masses could not be determined. Most females were hormonally active (76.4%, 372/487). Hormonally active dogs significantly more often had multiple tumours. Multiple tumours were significantly smaller (median 2.5 cm) than single ones. Among pedigree dogs, small-breed dogs were mostly recorded (43%, 428/1006). Twelve breeds had an increased risk of CMTs, regardless of tumour behaviour, compared with the theoretical distribution of pedigree dogs in Poland. Four breeds were often affected only by malignant and other four breeds only by non-neoplastic/benign CMT. Large-breed dogs were significantly younger and affected by larger CMT (median 4 cm) compared with small- and medium-breed dogs. Ninety dogs with a malignant CMT and complete records were included in the full analysis of CMT-specific survival (CMT-SS) with a median follow-up time of 20.0 months. We showed that the timing of ovariohysterectomy in relation to mastectomy was significantly associated with grade, CMT-SS, and CMT-related death. We indicated the low diagnostic accuracy of palpation of regional lymph nodes (RLN) in the prediction of their metastatic involvement. By multivariable analysis, dogs with neoplastic emboli, tumour ulceration, and simple or complex carcinoma had a significantly higher risk of local recurrence. Tumour size > 3 cm was as a strong independent predictor of lung metastases. Compared with dogs with an easily separated localized tumour, dogs with a multiple/diffuse malignant CMT pattern had a fivefold higher risk of death. The risk of death was significantly higher in the presence of neoplastic emboli (~ fivefold) and tumour ulceration (~ fourfold). Furthermore, the presence of neoplastic emboli and large tumour size were independent predictors of CMT-related death.
Differing roles of North Atlantic oceanic and atmospheric transports in the winter Eurasian Arctic sea-ice interannual-to-decadal variability
Authors: Shi Jiaqi , Luo Binhe , Luo Dehai , Yao Yao , Gong Tingting , Liu Yimin
Published: March 2024

In recent decades, winter Arctic sea-ice concentration (SIC) has experienced a most prominent decline over Barents-Kara Seas (BKS). However, what regulates the time scale and spatial structure of the SIC variability over the Eurasian Arctic is unclear. Here, we find that the SIC variability over the Eurasian Arctic exhibits two major modes: decadal dipole mode with antiphase variation between the BKS and East Greenland (EG), and interannual monopole mode with in-phase variation between the BKS and EG. This decadal mode mainly results from interdecadal changes in ocean heat transports (OHTs) through Barents Sea Opening (BSO) and EG, lagging the Atlantic Multidecadal Oscillation by 7–16 years. The positive SIC dipole mode with a decrease over the BKS and an increase over the EG is also tied to the negative Arctic Oscillation comprised of Ural blocking and the negative North Atlantic Oscillation (NAO). However, the SIC loss of the interannual monopole mode mainly stems from the positive Arctic dipole comprised of Ural blocking and positive NAO through interannual changes in the BSO OHT and atmospheric moisture or heat transport. We further highlight that interannual atmospheric transports and BSO OHT associated with the Arctic dipole contribute to ~66% and ~34% of the interannual variability of the Eurasian Arctic SIC during 1960-2017, respectively. On decadal timescales, the relative contributions of atmospheric transports associated with Arctic Oscillation and OHT to the Eurasian Arctic SIC variability are ~19% and ~81%, respectively. Especially, the contribution of decadal atmospheric transports is significantly intensified during 2000–2017.
Site selection of desert solar farms based on heterogeneous sand flux
Authors: Li Guoshuai , Tan Lihai , Yang Bao , Che Tao , Feng Guangcai , Ljungqvist Fredrik Charpentier , Luo Yayong , Du Heqiang , Zhao Hui , Zhang Ying , Huang Chunlin , Huang Ning , Tang Wenjun , Jin Rui , Li Xin
Published: March 2024

Site selection for building solar farms in deserts is crucial and must consider the dune threats associated with sand flux, such as sand burial and dust contamination. Understanding changes in sand flux can optimize the site selection of desert solar farms. Here we use the ERA5-Land hourly wind data with 0.1° × 0.1° resolution to calculate the yearly sand flux from 1950 to 2022. The mean of sand flux is used to score the suitability of global deserts for building solar farms. We find that the majority of global deserts have low flux potential (≤ 40 m3 m-1 yr-1) and resultant flux potential (≤ 2.0 m3 m-1 yr-1) for the period 1950–2022. The scoring result demonstrates that global deserts have obvious patchy distribution of site suitability for building solar farms. Our study contributes to optimizing the site selection of desert solar farms, which aligns with the United Nations sustainability development goals for achieving affordable and clean energy target by 2030.
Highly sensitive and reversible MXene-based micro quartz tuning fork gas sensors with tunable selectivity
Authors: Ding Wei , Yu Jingjing , Tsow Francis , Jaishi Laxmi Raj , Lamsal Buddhi Sagar , Kittelson Rick , Ahmed Sarwar , Kharel Parashu , Zhou Yue , Xian Xiaojun
Published: March 2024

Due to their distinctive morphology, significant surface-to-volume ratio, and metal-like electrical conductivity, MXenes have emerged as highly promising gas-sensing materials. Traditional MXene-based gas sensors predominantly rely on the electrical conductivity of MXenes for signal transduction. However, it is crucial to explore alternative signal transduction mechanisms to fully unlock the potential of MXenes in gas sensing applications. In this study, we have successfully showcased the development of a mass-transduction-based MXene gas sensor, utilizing MXenes as the adaptable receptor and MQTF as the transducer. The interaction between the gas analyte and MXenes induces a change in mass, resulting in a resonant frequency shift of the MQTF. This signal transduction mechanism eliminates the dependency on the electrical conductivity of MXenes, offering a broader range of possibilities for chemical modification of MXenes without concerns about compromising their conductivity. By engineering Ti3C2Tx surfaces, we have demonstrated high sensitivity and selectivity tuning of MXene-MQTF gas sensors for detecting CO, SO2, and NH3. This antisymmetric mass-transduction-based (low-cost, stable, sensitive, and practical tuning fork-based) MXene gas sensor demonstrated exceptional sensing performance, customizable selectivity, and high cost-effectiveness. This study paves the way for designing high-performance MXene-based chemical sensors and expands the scope of potential applications in air quality monitoring, wearable devices, the Internet of Things (IoT), and robotics.
Comparing the ambition of EU companies with science-based targets to EU regulation-imposed reductions
Authors: Roelfsema Mark , Kuramochi Takeshi , den Elzen Michel
Published: March 2024

Companies can support governments in bridging the emissions gap between current policies and the Paris goals by adhering to voluntary greenhouse gas (GHG) emission reduction targets that align with or surpass those implied by domestic policies. To this end, we assessed the potential impact of EU companies that set targets through the Science Based Targets Initiative (SBTi) in 2020 relative to an EU reference policies scenario that represents the estimated impact of the ETS and ESR policy instruments applicable at that time, with the aim of achieving a 40% reduction relative to 1990 by 2030. Two scenarios were assessed that incorporate the SBTi targets under these instruments: one assuming no additional reductions in the ETS sector due to the waterbed effect, and one with flanking measures to ensure additional emissions reductions regulated by ETS are materialised. Depending on the assumption made about these flanking measures, EU companies with SBTi-approved targets are projected to achieve a 4% or 14% reduction by 2030 compared to the EU 2020 policies scenario. Our findings illustrate that companies with SBTi-approved targets in 2020 were at most in line or modestly more ambitious than the 40% reduction target. This study highlights that voluntary reductions from SBTi companies regulated by ETS display higher estimated reductions than those solely regulated by ESR. Furthermore, this analysis indicates that more policy details are crucial for assessing the potential additional reduction of voluntary targets, and additional reductions under ETS should be assumed zero if a conservative estimate is required.
The regulatory relationship between NAMPT and PD-L1 in cancer and identification of a dual-targeting inhibitor
Authors: Yang Yuan , Li Zefei , Wang Yidong , Gao Jiwei , Meng Yangyang , Wang Simeng , Zhao Xiaoyao , Tang Chengfang , Yang Weiming , Li Yingjia , Bao Jie , Fan Xinyu , Tang Jing , Yang Jingyu , Wu Chunfu , Qin Mingze , Wang Lihui
Published: March 2024

Cancer is a heterogeneous disease. Although both tumor metabolism and tumor immune microenvironment are recognized as driving factors in tumorigenesis, the relationship between them is still not well-known, and potential combined targeting approaches remain to be identified. Here, we demonstrated a negative correlation between the expression of NAMPT, an NAD+ metabolism enzyme, and PD-L1 expression in various cancer cell lines. A clinical study showed that a NAMPTHigh PD-L1Low expression pattern predicts poor prognosis in patients with various cancers. In addition, pharmacological inhibition of NAMPT results in the transcription upregulation of PD-L1 by SIRT-mediated acetylation change of NF-κB p65, and blocking PD-L1 would induce NAMPT expression through a HIF-1-dependent glycolysis pathway. Based on these findings, we designed and synthesized a dual NAMPT/PD-L1 targeting compound, LZFPN-90, which inhibits cell growth in a NAMPT-dependent manner and blocks the cell cycle, subsequently inducing apoptosis. Under co-culture conditions, LZFPN-90 treatment contributes to the proliferation and activation of T cells and blocks the growth of cancer cells. Using mice bearing genetically manipulated tumors, we confirmed that LZFPN-90 exerted target-dependent antitumor activities, affecting metabolic processes and the immune system. In conclusion, our results demonstrate the relevance of NAD+-related metabolic processes in antitumor immunity and suggest that co-targeting NAD+ metabolism and PD-L1 represents a promising therapeutic approach.
Probing the hierarchical dynamics of DNA-sperm nuclear transition protein complexes through fuzzy interaction and mesoscale condensation
Authors: Xie Shangqiang , Yue Congran , Ye Sheng , Li Zhenlu
Published: March 2024

The multivalent protein TNP1–DNA interaction is characterized by hierarchical processes involving multiple modes of molecular binding, morphological alteration, and phase separation.
Low-temperature dissociation of CO2 molecules on vicinal Cu surfaces
Authors: Koitaya Takanori , Shiozawa Yuichiro , Yoshikura Yuki , Mukai Kozo , Yoshimoto Shinya , Yoshinobu Jun
Published: March 2024

Dissociation of CO2 occurs on vicinal Cu surfaces at temperatures between 80 K and 90 K. This is mainly caused by an oxygen-exchange reaction between CO2 and CO promoted by a small amount of coadsorbed oxygen.
DNA nanostructures for exploring cell–cell communication
Authors: Wang Ya , Xiong Yamin , Shi Kangqi , Effah Clement Yaw , Song Lulu , He Leiliang , Liu Jianbo
Published: March 2024

This review is dedicated to offering a new perspective on using DNA nanostructures to explore the progress of cell–cell communication.
Luminescent Er3+ based single molecule magnets with fluorinated alkoxide or aryloxide ligands
Authors: Selikhov Alexander N. , Félix Gautier , Lyubov Dmitry M. , Nelyubina Yulia V. , Cherkasov Anton V. , Sene Saad , Taydakov Ilya V. , Metlin Mikhail T. , Tyutyunov Andrey A. , Guari Yannick , Larionova Joulia , Trifonov Alexander A.
Published: March 2024

We report the synthesis, structures, and magnetic and luminescence properties of a series of new mono- and dinuclear Er3+ complexes derived from sterically demanding aryloxide and fluorinated alkoxide ligands.
Protein combined with certain dietary fibers increases butyrate production in gut microbiota fermentation
Authors: Jackson Rachel , Yao Tianming , Bulut Nuseybe , Cantu-Jungles Thaisa M. , Hamaker Bruce R.
Published: March 2024

The modern diet delivers nearly equal amounts of carbohydrates and protein into the colon representing an important protein increase compared to past higher fiber diets.
The synergism of Lactobacillaceae, inulin, polyglucose, and aerobic exercise ameliorates hyperglycemia by modulating the gut microbiota community and the metabolic profiles in db/db mice
Authors: Li Peifan , Tong Tong , Shao Xinyu , Han Yan , Zhang Michael , Li Yongli , Lv Xue , Li Hao , Li Zuming
Published: March 2024

This study aimed to assess the impact of Lactobacillaceae (L or H represents a low or high dose), inulin (I), and polydextrose (P) combined with aerobic exercise (A) on the composition of the gut microbiota and metabolic profiles in db/db mice.
Inhibition of α-glucosidase activity and intestinal glucose transport to assess the in vivo anti-hyperglycemic potential of dodecyl-acylated phlorizin and polydatin derivatives
Authors: Xu Zhengming , Hileuskaya Kseniya , Kraskouski Aliaksandr , Yang Yujiao , Huang Zhe , Zhao Zhengang
Published: March 2024

Dodecyl phlorizin and polydatin derivatives are safe and promising in vivo hypoglycemic active compounds that can inhibit the hydrolytic activity of α-glucosidase and intestinal glucose absorption.
Effect of Lactobacillus plantarum BFS1243 on a female frailty model induced by fecal microbiota transplantation in germ-free mice
Authors: Dong Sashuang , Zeng Qi , He Weimin , Cheng Wei , Zhang Ling , Zhong Ruimin , He Wen , Fang Xiang , Wei Hong
Published: March 2024

Probiotic Lactobacillus plantarum BFS1243 improved gut dysbiosis and then decreased systemic inflammation, ultimately improving frailty-associated phenotypes to varying degrees, which were caused by transplantation of fecal microbiota from frailty patients.
Evaluation of green chemistry metrics for sustainable recycling of platinum group metals from spent automotive catalysts via bioleaching
Authors: Karim Salman , Saw Han Mei , Ting Yen-Peng
Published: March 2024

This work evaluates the sustainability indicators of the biorecovery of platinum group metals from spent automotive catalysts with due consideration of the environment and efficiency for the evaluation of environmental sustainability.
Tuneable hydrogel patterns in pillarless microfluidic devices
Authors: Olaizola-Rodrigo Claudia , Palma-Florez Sujey , Ranđelović Teodora , Bayona Clara , Ashrafi Mehran , Samitier Josep , Lagunas Anna , Mir Mònica , Doblaré Manuel , Ochoa Ignacio , Monge Rosa , Oliván Sara
Published: March 2024

A novel methodology utilizing plasma surface treatment enables the construction of cell culture chambers featuring abutment-free patterns, facilitating the precise distribution of shear stress.
Recent progress and challenges of MOF-based nanocomposites in bioimaging, biosensing and biocarriers for drug delivery
Authors: Nguyen Ngoan Thi Thao , Nguyen Thuy Thi Thanh , Ge Shengbo , Liew Rock Keey , Nguyen Duyen Thi Cam , Tran Thuan Van
Published: March 2024

Here, we explored the recent development of MOF-based nanomaterials for biomedical applications. MOF-based nanomaterials not only show excellent bio-imaging and biosensing performance but also can be well designed as bio-carriers in drug delivery.
Synthesis of Mn2+ and Pr3+ co-doped Zn2GeO4-graphene quantum dot nanorod bundles as an optical probe for sensing pH and temperature and for information encryption
Authors: Li Ming , Xu Jiadong , Wang Na , Li Zaijun
Published: March 2024

This paper reports the synthesis of a Mn2+ and Pr3+ co-doped Zn2GeO4 optical probe by introducing boron-doped and histidine- and serine-functionalized graphene quantum dots (BHS-GQD) to Mn2+/Pr3+-Zn2GeO4.
Efficient preparation and denitration performance of Cu/SAPO-34 catalyst
Authors: He Jing , Liu Junyan , Mao Di , Cai Bohui , Yin Chengyang
Published: March 2024

Aluminum phosphate was used as a new raw material to prepare Cu/SAPO-34 catalyst. This Cu/SAPO-34 had more Cu2+ sites than traditional Cu/SAPO-34, and showed a high ability to eliminate nitrogen oxides in the medium and high temperatures.
Tuning the charge density and crosslinking of precise amphiphilic oligo(ethanamino)amides for efficient and biocompatible gene delivery
Authors: Wang Jiamin , Lin Hao , Liu Mengli , Xiong Bo , He Dingyuan , Tu Jiasheng , He Dongsheng
Published: March 2024

Tuning the charge density and crosslinking of lipo-oligomers could improve their overall performance in nucleic acid delivery.
Engineering the functional surface of carbon dots for antibacterial, bacterial bioimaging and sensing applications
Authors: Li Zhenzhen , Ye Binggang , Fang Jiayin , Li Meng , Xiong Yuxiao , Xiong Ping , Zhou Yifan , Guo Zhouyi , Zhong Huiqing , Liu Zhiming
Published: March 2024

The significant threat to human health and the social economy posed by bacterial infections underscores the pressing need to develop safe and effective methods for detecting and combating bacteria.
Novel ternary Zintl phosphide halides Ba3P5X (X = Cl, Br) with 1D helical phosphorus chains: synthesis, crystal and electronic structure
Authors: Ishtiyak Mohd , Samarakoon S. M. Gayomi K. , Kandabadage Don Thimira , Watts Spencer R. , Baranets Sviatoslav
Published: March 2024

Crystal structures of two novel ternary phosphide halides, Ba3P5Cl and Ba3P5Br, feature one-dimensional disordered infinite helical chains of phosphorus.
Highly sensitive and accurate detection of cholesterol based on a single red upconversion biosensor
Authors: Tingyuan Pang , Xiaorui Liu , Jia Li , Qi Song , Junren Li , Ling Han , Wenying Shu , Xiaoshun Jian , Meimei Zhang
Published: March 2024

Cholesterol (CHOL) is an important clinical biochemical indicator that plays an important role in the regulation of the fluidity, permeability, and microstructure of cell membranes.
Impact of gate electrode on free chlorine sensing performance in solution-gated graphene field-effect transistors
Authors: Sugawara Masato , Watanabe Takeshi , Einaga Yasuaki , Koh Shinji
Published: March 2024

We investigated the role of gate electrodes in solution-gated graphene field-effect transistors for sensing free chlorine. Graphene and boron-doped diamond exhibit suitable electrochemical properties for gate electrodes.
High-performance biosensors based on angular plasmonic of a multilayer design: new materials for enhancing sensitivity of one-dimensional designs
Authors: Elsayed Hussein A. , Awasthi Suneet Kumar , Almawgani Abdulkarem H. M. , Mehaney Ahmed , Abdelrahman Ali Yahya Ali , Alzahrani Ahmad , Ahmed Ashour M.
Published: March 2024

In this study, a theoretical examination is conducted to investigate the biosensing capabilities of different surface plasmon resonance (SPR) based hybrid multilayer structures, which are composed of two-dimensional (2D) materials.
A guide to troubleshooting metal sacrificial anodes for organic electrosynthesis
Authors: Ware Skyler D. , Zhang Wendy , Guan Weiyang , Lin Song , See Kimberly A.
Published: March 2024

Sacrificial anodes enable reductive electrosynthesis but can inadvertently limit the conditions compatible with organic reactions. Addressing challenges that arise at sacrificial anodes can improve yields and streamline reaction optimization.
The superiority of Pd2+ in CO2 hydrogenation to formic acid
Authors: Wang Yanyan , Dong Minghua , Li Shaopeng , Chen Bingfeng , Liu Huizhen , Han Buxing
Published: March 2024

The hydrogenation of CO2 to formic acid is catalyzed for the first time by a Pd2+ catalyst, Pd–V/AC–air. The superiority of Pd2+ over Pd0 is confirmed by a combination of DFT and experimental results.
pH-responsive i-motif-conjugated nanoparticles for MRI analysis
Authors: Ma Kristine Y. , Perera-Gonzalez Mireia , Langlois Nicole I. , Alzubi Owen M. , Guimond Joseph D. , Flask Chris A. , Clark Heather A.
Published: March 2024

The pH-responsive i-motif structure loaded with Gd-DOTA on GNPs (iM-GNP) fully expands at basic pH and folds when exposed to H+. This folding enhances the MRI signal, relaxivity, by slower rotational motion.
Electrochemical valorization of HCl for the production of chlorine via a proton-filter functional covalent organic framework
Authors: Kaur Sukhjot , Ranjeesh Kayaramkodath C. , Garg Kalpana , Gaber Safa , Mehta Shivangi , Nagaiah Tharamani C. , Shetty Dinesh
Published: March 2024

An in situ proton filter covalent organic framework (COF) is developed to integrate the chlorine evolution reaction (CER) with the oxygen-depolarized cathode and an excellent CER faradaic efficiency of 92% is achieved.
All-organic ArPTU/PEI composite dielectric films with high-temperature resistance and high energy-storage density
Authors: Zhang Yonghao , Guo Yan , Liu Yang , Shi Zhongqi , Liu Wenfeng , Su Jinzhan , Chen Guohua , Zhou Di
Published: March 2024

All-organic composite materials with excellent energy storage performance were prepared by solution casting method. The energy storage density reaches 5.34 J cm−3 (at Eb = 580 MV m−1), and the charge discharge efficiency is 85% at 150 °C.
The role of cardiolipin and cytochrome c in mitochondrial metabolism of cancer cells determined by Raman imaging: in vitro study on the brain glioblastoma U-87 MG cell line
Authors: Kopeć Monika , Borek-Dorosz Aleksandra , Jarczewska Karolina , Barańska Małgorzata , Abramczyk Halina
Published: March 2024

In this paper, we present Raman imaging as a non-invasive approach for studying changes in mitochondrial metabolism caused by cardiolipin–cytochrome c interactions
An activatable fluorescent-photoacoustic dual-modal probe for highly sensitive imaging of nitroxyl in vivo
Authors: Qi Fang-Yuan , Qiao Lei , Peng Lan , Yang Yu , Zhang Chong-Hua , Liu Xianjun
Published: March 2024

A novel near-infrared fluorescent (NIRF) and photoacoustic (PA) dual-modal probe with enhanced sensitivity and a high PA signal-to-noise ratio was constructed for imaging HNO in vivo.
A zinc–air battery assisted self-powered electrochemical sensor for sensitive detection of microcystin-RR
Authors: Wang Qianjun , Jiang Ding , Du Xiaojiao , Shan Xueling , Wang Wenchang , Shiigi Hiroshi , Chen Zhidong
Published: March 2024

Building a high-performance sensing platform is the key to developing sensitive sensors.
Ultrafast removal of organics via peroxymonosulfate activation over Co2P/TD hollow spheres derived from ZIF-67
Authors: Wang Fei , Li Yu-Hang , Gao Ya , Chai Yutong , Wei Yuwei , Wang Chong-Chen , Wang Peng , Fu Huifen , Zhao Chen
Published: March 2024

In this work, a Co2P/TD-50 catalyst was synthesized and applied to ultrafast degradation of various organics. 1O2 was demonstrated to be the dominant ROS for phenol degradation and a continuous-flow operation for phenol degradation was realized.
The construction of a stable hydrogen-bonded organic framework for the photocatalytic reduction and removal of uranium
Authors: Zhang Li , Luo Yu-Ting , Xiao Sai-Jin , Fan Jia-Qi , Tan Quan-Gen , Sun Chen , Song An-Min , Liang Ru-Ping , Qiu Jian-Ding
Published: March 2024

An imidazolyl hydrogen-bonded organic framework (HOF-T) with outstanding thermal and water stability was constructed by C–H⋯N hydrogen bonding and C–H⋯π interactions for photocatalytic reduction and removal of uranium.
Synthesis and structural properties of para-diselenopyrazines
Authors: Hüßler Christopher , Dietl Martin C. , Kahle Justin , Lopes Eric F. , Kawamura Miku , Krämer Petra , Rominger Frank , Rudolph Matthias , Hachiya Iwao , Hashmi A. Stephen K.
Published: March 2024

Selenophen-annulated pyrazines were synthesized in a simple two-step approach under mild conditions.
Correction: Understanding the patterns that neural networks learn from chemical spectra
Authors: Rieger Laura Hannemose , Wilson Max , Vegge Tejs , Flores Eibar
Published: March 2024

Correction for ‘Understanding the patterns that neural networks learn from chemical spectra’ by Laura Hannemose Rieger et al., Digital Discovery, 2023, 2, 1957–1968, https://doi.org/10.1039/D3DD00203A.
Towards green and efficient chemical looping ammonia synthesis: design principles and advanced redox catalysts
Authors: Zhang Xianhua , Pei Chunlei , Zhao Zhi-Jian , Gong Jinlong
Published: March 2024

This review provides insights into the design and application of redox catalysts in chemical looping ammonia synthesis.
Unveiling the adsorption tendency of film-forming additives to enable fast-charging hard carbon anodes with regulated Li plating
Authors: Dong Yongteng , Chen Yuanmao , Yue Xinyang , Liang Zheng
Published: March 2024

By unveiling the adsorption tendency of EC and FEC additives on defective graphene surfaces and its impact on SEI formation, hard carbon anodes with efficient Li plating regulation can be achieved for fast-charging lithium-ion batteries.
A robust heterogeneous chiral phosphoric acid enables multi decagram scale production of optically active N,S-ketals
Authors: Maestro Aitor , Malviya Bhanwar K. , Auer Gerald , Ötvös Sándor B. , Kappe C. Oliver
Published: March 2024

A multi-decagram scale synthesis of enantioenriched N,S-ketals was achieved by using a robust heterogeneous organocatalyst. A new reactor design was crucial to enable the scaling up of this reaction while the overall catalyst loading below 0.1%.
External stimuli-triggered photodynamic and sonodynamic therapies in combination with hybrid nanomicelles of ICG@PEP@HA: laser vs. ultrasound
Authors: Kong Xinru , Yang Yanxi , Ren Xueli , Lin Yandai , Shi Yu , Liu Zhe
Published: March 2024

A type of hybrid nanomicelles (ICG@PEP@HA) for membrane penetration and tumor targeting were fabricated, and a powerful ROS production, superb ROS-induced cell apoptosis and excellent cancerous elimination have been realized in vivo.
Recent advances in Si-rhodamine-based fluorescent probes for live-cell imaging
Authors: Ohno Hisashi , Sasaki Eita , Yamada Sota , Hanaoka Kenjiro
Published: March 2024

This review presents the recent advances in far-red to NIR fluorescent probes based on Si-rhodamines, focusing on live-cell imaging applications.
Polymerization-pH tailored RAFT-mediated polymerization-induced self-assembly for ice recrystallization inhibiting the investigation
Authors: Xu Huangbing , Qiu Teng , Shi Haotian , Tian Xiaoqian , Li Xiaoyu , Guo Longhai
Published: March 2024

RAFT-mediated polymerization-induced self-assembly (RAFT-PISA) has been undergoing fast development currently, promoting research toward more diverse morphologies and more cutting-edge applications.
Green synthesis of cadmium oxide nanoparticles (CdO-NPS) using syzygium cumini: exploring industrial applications of CdO NPs as a corrosion inhibitor of mild steel in the acidic environment
Authors: Sivalingam Sivakumar , Kavirajwar Jyoti , Seethalakshmi K. , Gayathri Jayagopi , Roniboss A.
Published: March 2024

Potentiodynamic polarization (PDP), electrochemical impedance spectroscopy (EIS) and weight loss measurements were used to assess the effectiveness of CdO-NPs as a corrosion inhibitor for carbon steel in 0.5 M H2SO4.
Amplifying dual-visible-light photoswitching in aqueous media via confinement promoted triplet–triplet energy transfer
Authors: Wang Wenhui , Yang Weixin , Zhang Zhiwei , Dai Jinghong , Xu Yisheng , Zhang Junji
Published: March 2024

Integration of diarylethenes and auxiliary triplet-sensitizers within a nano-confinement micelle ensures a superior visible-light photochromism in the aqueous phase.
A straightforward approach to improve NCM523/graphite pouch battery performance in a wide temperature range at 4.35 V using film-forming additive N-phenylimidodisulfuryl fluoride (PhFSI)
Authors: Yang Guoliang , Huang Zhaohao , Majeed Irfan , Fan Chaojun , Lu Jiasheng , Wang Kai , Fan Weizhen , Zhao Jingwei , Zeng Zhuo
Published: March 2024

A novel film-forming additive N-phenylimidodisulfuryl fluoride (PhFSI), was delicately designed, synthesized and proved to excellently boost the electrochemical performance of NCM523/graphite batteries with 1 wt% in a wide temperature range from −10 to 45 °C at 4.35 V.
Polyvinyl alcohol electrolyte-gated oxide transistors with tetanization activities for neuromorphic computing
Authors: Huang You Jie , Di Jia Kang , Li Yan , Huang Xin , Wang Wei Sheng , Chen Xin Li , Xiao Hui , Zhu Li Qiang
Published: March 2024

Polyvinyl alcohol electrolyte-gated oxide neuromorphic transistors with tetanization activities were fabricated, demonstrating an ultra-low energy consumption of 36 aJ and a quality factor of ∼0.0036 fJ V.
Inner Resonance and Outer Current Based Control Strategy for Inductive Power Transfer System Used in Wireless Charging for Electric Vehicles
Authors: Varikkottil Sooraj , Lionel Febin Daya John , Srinivasan Mohan Krishna , Perumal Thinagaran , Stonier Albert Alexander , Peter Geno , Pagidi Balachennaiah , Ganji Vivekananda
Published: March 2024

The wireless charging for electric vehicle is getting popular due to the absence of sophisticated cable connection and associated issues with the actuators in field for connected charging. The major challenges in inductive power transfer (IPT) systems are the control of the resonance converter and synchronisation in communications with the vehicle and power supply. In IPT system, the dynamic nature of load as well as system demands extra care for the existing charging architectures. This work proposes a unique control algorithm to charge the Li‐ion battery under coupling coefficient and load variations. The developed control algorithm is validated in MATLAB simscape platform. Further, the control logic is validated using the Texas C2000 Delfino controller in 1 kW IPT system. The developed control logic would ensure proper frequency of operation as well as the constant voltage and constant current control.
Malicious domain detection based on semi‐supervised learning and parameter optimization
Authors: Liao Renjie , Wang Shuo
Published: March 2024

Malicious domains provide malware with covert communication channels which poses a severe threat to cybersecurity. Despite the continuous progress in detecting malicious domains with various machine learning algorithms, maintaining up‐to‐date various samples with fine‐labeled data for training is difficult. To handle these issues and improve the detection accuracy, a novel malicious domain detection method named MDND‐SS‐PO is proposed that combines semi‐supervised learning and parameter optimization. The contributions of the study are as follows. First, the method extracts the statistical features of the IP address, TTL value, the NXDomain record, and the domain name query characteristics to discriminate Domain‐Flux and Fast‐Flux domain names simultaneously. Second, an improved DBSCAN based on the neighborhood division is designed to cluster labeled data and unlabeled data with low time consumption. Then, based on the clustering hypothesis, unlabeled data is tagged with pseudo‐label according to the cluster results, which aims to train a supervised classifier effectively. Finally, Gaussian process regression is used to optimize parameter settings of the algorithm. And the Silhouette index and F1 score are introduced to evaluate the optimization results. Experimental results show that the proposed method achieved a precise detection performance of 0.885 when the ratio of labeled data is 5%.
Research on the new power system dispatching model considering clean energy market and power‐section stabilization
Authors: Pan Xiao , Liu Yutong , Jiang Haiwei
Published: March 2024

With the introduction of dual carbon targets, clean energy is connected to the grid on a large scale, and the stochastic and volatility of its output further affects the stable operation of the new power system. Meanwhile, in order to solve the problem that it is difficult to take into account the participation of clean energy in market‐oriented trading and complete consumption in the construction of power market, the new type of power system source–load balance dispatching model considering the market of clean energy and cross‐section stabilization is proposed. Firstly, a clean energy market price competition model based on the market clearing mechanism is proposed to realize the alternative consumption of clean energy. Secondly, considering the section security of inter‐system power transmission, a new power system source‐load balance two‐level optimization model is established by considering the cross‐section power rate and real‐time trading of clean energy market. Finally, the advantages of the model in enhancing the high proportion of clean energy consumption, rationally clearing the clean energy market and reducing the cross‐section load ratio of the contact line are verified through simulation.
A survey on computational intelligence approaches for intelligent marine terminal operations
Authors: Aslam Sheraz , Michaelides Michalis P. , Herodotou Herodotos
Published: March 2024

Marine container terminals (MCTs) play a crucial role in intelligent maritime transportation (IMT) systems. Since the number of containers handled by MCTs has been increasing over the years, there is a need for developing effective and efficient approaches to enhance the productivity of IMT systems. The berth allocation problem (BAP) and the quay crane allocation problem (QCAP) are two well‐known optimization problems in seaside operations of MCTs. The primary aim is to minimize the vessel service cost and maximize the performance of MCTs by optimally allocating berths and quay cranes to arriving vessels subject to practical constraints. This study presents an in‐depth review of computational intelligence (CI) approaches developed to enhance the performance of MCTs. First, an introduction to MCTs and their key operations is presented, primarily focusing on seaside operations. A detailed overview of recent CI methods and solutions developed for the BAP is presented, considering various berthing layouts. Subsequently, a review of solutions related to the QCAP is presented. The datasets used in the current literature are also discussed, enabling future researchers to identify appropriate datasets to use in their work. Eventually, a detailed discussion is presented to highlight key opportunities along with foreseeable future challenges in the area.
High‐gain tapered monopulse antenna based on octuple excitation method in diffusion bonding technology at W‐band
Authors: Mahmoud Adham , Tomura Takashi , Ettorre Mauro , González‐Ovejero David , Sauleau Ronan , Hirokawa Jiro
Published: March 2024

The authors present the design, fabrication and testing of a W‐band monopulse antenna. This antenna consists of three main building blocks: an array with 48 × 48 slots, a tapered corporate‐feed network and a comparator. The comparator has four input ports to generate sum and difference patterns in orthogonal cardinal planes for monopulse operation. A novel octuple excitation is adopted for the corporate network to achieve a side lobe level lower than −20 dB for the sum patterns and simultaneously reduce drastically the manufacturing complexity. Diffusion bonding technology is used for fabrication. Twenty‐four etched copper sheets with a thickness of 0.2 mm are stacked to realise the prototype. The total size of the antenna is , with λ0 being the wavelength at the centre frequency (94 GHz). The antenna presents an isolation better than 12 dB among the input ports in the 84–100 GHz band. The realised measured gain is 40.7 dBi at 94 GHz. The measured 3‐dB gain bandwidth is 17.4%. The difference patterns at 94.0 GHz present null depths of −24.0, −18.0, −17.5, and −17.4 dB, in the E‐, H‐, 45°‐, and 135°‐planes, respectively.
Spectral normalization generative adversarial networks for photovoltaic power scenario generation
Authors: Zhang Xiurong , Fan Shaoqian , Li Daoliang
Published: March 2024

The large‐scale integration of new energy generation into the power transmission network introduces uncertainty and fluctuations, posing a threat to the secure operation of the transmission network. Modelling and analysing the uncertainty in photovoltaic (PV) generation is essential. This paper introduces a method for generating scenarios for centralized PV station based on spectral normalization generative adversarial networks (SNGAN). Data‐driven scenario generation methods, with generative adversarial networks (GAN) as representatives, are commonly used today to analyse the uncertainty of new energy generation. In addressing the uncertainty of centralized PV power generation, this paper introduces SNGAN, makes improvements to the discriminator, enhances training stability, and generates PV power generation scenarios. The incorporation of spectral normalization as a regularization technique contributes to the stability and convergence of the proposed GAN model. The effectiveness of the selected method is validated through comparisons with actual data.
Deep learning‐based space debris detection for space situational awareness: A feasibility study applied to the radar processing
Authors: Massimi Federica , Ferrara Pasquale , Petrucci Roberto , Benedetto Francesco
Published: March 2024

The increasing number of space objects (SO), debris, and constellation of satellites in Low Earth Orbit poses a significant threat to the sustainability and safety of space operations, which must be carefully and efficiently addressed to avoid mutual collisions. The space situational awareness is currently addressed by an ensemble of radar and radio‐telescopes that detect and track SO. However, a large part of space debris is composed of very small and tiny metallic objects, very difficult to detect. The authors demonstrate the benefits of using deep learning (DL) architectures for small space object detection by radar observations. TIRA radio telescope has been simulated to generate range‐Doppler maps, then used as inputs for object detection exploiting You‐Only‐Look‐Once (YOLO) frameworks. The results demonstrate that the object detection by using YOLO algorithms outperform conventional target detection approaches, thus indicating the potential benefits of using DL techniques for space surveillance applications.