bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

AbstractIn 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

AbstractHere 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

AbstractThis 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

AbstractIn 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

AbstractSite 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

AbstractDue 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

AbstractCompanies 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

AbstractCancer 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.
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.
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
Malicious domain detection based on semi‐supervised learning and parameter optimization
Authors: Liao Renjie , Wang Shuo 
Published: March 2024

AbstractMalicious 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

AbstractWith 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

AbstractMarine 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

AbstractThe 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

AbstractThe 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.