bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Underwater Biomimetic Robot that can Swim, Bipedal Walk and Grasp
Authors: Wu Qiuxuan , Pan Liwei , Du FuLin , Wu ZhaoSheng , Chi XiaoNi , Gao FaRong , Wang Jian , Zhilenkov Anton A. 
Published: April 2024

AbstractIn developing and exploring extreme and harsh underwater environments, underwater robots can effectively replace humans to complete tasks. To meet the requirements of underwater flexible motion and comprehensive subsea operation, a novel octopus-inspired robot with eight soft limbs was designed and developed. This robot possesses the capabilities of underwater bipedal walking, multi-arm swimming, and grasping objects. To closely interact with the underwater seabed environment and minimize disturbance, the robot employs a cable-driven flexible arm for its walking in underwater floor through a bipedal walking mode. The multi-arm swimming offers a means of three-dimensional spatial movement, allowing the robot to swiftly explore and navigate over large areas, thereby enhancing its flexibility. Furthermore, the robot’s walking arm enables it to grasp and transport objects underwater, thereby enhancing its practicality in underwater environments. A simplified motion models and gait generation strategies were proposed for two modes of robot locomotion: swimming and walking, inspired by the movement characteristics of octopus-inspired multi-arm swimming and bipedal walking. Through experimental verification, the robot’s average speed of underwater bipedal walking reaches 7.26 cm/s, while the horizontal movement speed for multi-arm swimming is 8.6 cm/s.
In silico analysis on binding action of beta-lactam drugs against TEM and SHV class A beta-lactamases from Klebsiella pneumoniae
Authors: Akinola Omowumi Temitayo , Oyebamiji Abel Kolawole , Oke David Gbenga , Adekunle David O. , Olanrewaju Adesoji Alani , Akintelu Sunday Adewale 
Published: April 2024

AbstractOne of the leading Gram-negative bacteria that causes nosocomial illnesses such as pneumonia, urinary tract infections, meningitis, etc. is Klebsiella pneumoniae. Conventionally, K. pneumoniae infections are treated with beta-lactam (β-lactam) based antibiotics like penicillin; however, these treatments are becoming less and less successful as the bacterium generates various kinds of beta-lactamases (β-lactamases) to inactivate the medicines. In the present study, whole genome sequencing was used to obtain class A β-lactamase from an isolate that showed antibiotic resistance using the disk diffusion method. Class A β-lactamase, TEM and SHV obtained from the isolate were used for docking. We downloaded the structure of two enzymes (amino acids) (TEM and SHV background) from Protein DataBank (PDB) with PDB IDs: 1n9b and 2zd8. The structures of the β-lactams antibiotics (ceftazidime, cefepime, Amoxicillin clavulanic acid, and meropenem) were drawn using Chemsketch. The interactions of the inhibitors with several β-lactams antibiotics were studied after docking using Autodock software. The docking results showed that of all the five drugs docked with the enzymes (inhibitors), cefepime excelled in terms of ability to bind well against both the TEM and SHV enzymes. This was shown with the binding affinity against 1n9b and 2zd8 being − 8.23996162 and − 8.5358305 respectively, as such making it the best β-lactam antibiotic against TEM and SHV of all the five drugs.
Performing Distributed Quantum Calculations in a Multi-cloud Architecture Secured by the Quantum Key Distribution Protocol
Authors: Huang Jose Luis Lo , Emeakaroha Vincent C. 
Published: April 2024

AbstractQuantum computing (QC) is an emerging area that yearly improves and develops more advances in the number of qubits and the available infrastructure for public users. Nowadays, the main cloud service providers (CSP) are implementing different mechanisms to support access to their quantum computers, which can be used to perform small experiments, test hybrid algorithms and prove quantum theories. Recent research work have discussed the low capacity of using quantum computers in a single CSP to perform quantum computation that are needed to solve different experiments for real world problems. Thus, there are needs for computing powers in the form of qubits from multi-cloud environment. Quantum computing in a multi-cloud environment requires security of the communicating channels. A well known algorithm in quantum cryptography for this purpose is the quantum key distribution (QKD) protocol. This enables the sender and receiver of a message to know when a third party eavesdropped any data from the insecure quantum channel. To address the low capacity issue, this research develops and tests the use of heterogeneous quantum computers located on different CSP to distribute quantum calculations between them by leveraging the channel security provided by the QKD protocol. The achieved results show over 88.1% of correct distributed quantum computation results without error correction methods, 96.8% of correct distributed quantum computation results using error correction methods and over 98.8% correct authorisation detection in multi-cloud environments. This demonstrates that quantum calculations can be distributed between different CSP while securing the channel with the QKD protocol at the same time.
Surface and bulk acoustic wave resonators based on aluminum nitride for bandpass filters
Authors: Zha Xian-Hu , Luo Jing-Ting , Tao Ran , Fu Chen 
Published: April 2024

AbstractBandpass filters with high frequency and wide bandwidth are indispensable parts of the fifth-generation telecommunication technologies, and currently, they are mainly based on surface and bulk acoustic wave resonators. Owing to its high mechanical strength, excellent stability at elevated temperatures, good thermal conductivity, and compatibility with complementary metal-oxide-semiconductor technology, aluminum nitride (AlN) becomes the primary piezoelectric material for high-frequency resonators. This review briefly introduces the structures and key performance parameters of the acoustic resonators. The common filter topologies are also discussed. In particular, research progresses in the piezoelectric AlN layer, electrodes, and substrates of the resonators are elaborated. Increasing the electromechanical coupling constant is the main concern for the AlN film. To synthesize AlN in single-crystalline or poly-crystalline with a high intensity of (0002) orientation, and alloy the AlN with other elements are two effective approaches. For the substrates and bottom electrodes, lattice and thermal expansion mismatch, and surface roughness are critical for the synthesis of a high-crystal-quality piezoelectric layer. The electrodes with low electrical resistance, large acoustic-impedance mismatch to the piezoelectric layer, and low density are ideal to reduce insertion loss. Based on the research progress, several possible research directions in the AlN-based filters are suggested at the end of the paper.
The obscure politics of artificial intelligence: a Marxian socio-technical critique of the AI alignment problem thesis
Authors: Cugurullo Federico 
Published: April 2024

AbstractThere is a growing feeling that artificial intelligence (AI) is getting out of control. Many AI experts worldwide stress that great care must be taken on the so-called alignment problem, broadly understood as the challenge of developing AIs whose actions are in line with human values and goals. The story goes that ever more powerful AI systems are escaping human control and might soon operate in a manner that is no longer guided by human purposes. This is what we call the AI-out-of-control discourse which, in this paper, we critically examine and debunk. Drawing on complementary insights from political theory, socio-technical studies and Marxian political economy, we critique the supposed animistic and autonomous nature of AI, and the myth of the uncontrollability of AI. The problem is not that humanity has lost control over AI, but that only a minority of powerful stakeholders are controlling its creation and diffusion, through politically undemocratic processes of decision-making. In these terms, we reframe the alignment problem thesis with an emphasis on citizen engagement and public political participation. We shed light on the existing politics of AI and contemplate alternative political expressions whereby citizens steer AI development or stop it in the first place.
TrajectoFormer: Transformer-Based Trajectory Prediction of Autonomous Vehicles with Spatio-temporal Neighborhood Considerations
Authors: Amin Farhana , Gharami Kanchon , Sen Barshon 
Published: April 2024

AbstractAccurate trajectory prediction of autonomous vehicles is crucial for ensuring road safety. Predicting precise and accurate trajectories is still considered a challenging problem because of the intricate spatio-temporal dependencies among the vehicles. Our study primarily focuses on resolving this issue by introducing a comprehensive system called “TrajectoFormer”, which can effectively represent the spatio-temporal dependency between vehicles. In this system, we have conducted preprocessing on the NGSIM dataset by constructing an 8-neighborhood for each vehicle that represents the spatio-temporal dependency between vehicles effectively. Second, we have deployed a transformer network that captures dependencies between the target vehicle and its neighbor from the constructed neighborhood and predicts future trajectories for the target vehicle with notably reduced training times and significant accuracy compared to existing methods. Experiments on both NGSIM US-101 and US-I80 show that our proposed approach outperforms the other benchmarks in terms of showing low RMSE value for the 5-s prediction horizon of trajectory prediction. Our conducted ablation study also underscores the effectiveness of each component of our proposed TrajectoFormer model relative to traditional time-series prediction models.
The Etiology of Advanced Chronic Kidney Disease in Southeast Asia: A Meta-analysis
Authors: Hustrini Ni Made , Susalit Endang , Widjaja Felix Firyanto , Khumaedi Anandhara Indriani , Dekkers Olaf M. , van Diepen Merel , Rotmans Joris I. 
Published: April 2024

Abstract
Introduction
Chronic kidney disease (CKD) etiology varies greatly between developed and developing countries. In addition, differences in underlying pathogenesis and therapeutic options affect the progression towards advanced-CKD. This meta-analysis aims to identify the etiology of advanced-CKD in Southeast Asia.

Methods
A systematic search in four electronic-databases and complementary search on national kidney registries and repository libraries was conducted until July 20, 2023. The risk of bias was assessed using Newcastle–Ottawa Scale for observational studies and Version-2 of Cochrane for intervention studies. A random-effects model was used to estimate pooled prevalence. The protocol is registered in the International Prospective Register of Systematic Reviews PROSPERO; Registration ID:CRD42022300786.

Results
We analyzed 81 studies involving 32,834 subjects. The pooled prevalence of advanced-CKD etiologies are diabetic kidney disease (DKD) 29.2% (95%CI 23.88–34.78), glomerulonephritis 20.0% (95%CI 16.84–23.38), hypertension 16.8% (95%CI 14.05–19.70), other 8.6% (95%CI 6.97–10.47), unknown 7.5% (95%CI 4.32–11.50), and polycystic kidney disease 0.7% (95%CI 0.40–1.16). We found a significant increase in DKD prevalence from 21% (9.2%, 95%CI 0.00–33.01) to 30% (95%CI 24.59–35.97) before and after the year 2000. Among upper-middle-income and high-income countries, DKD is the most prevalent (26.8%, 95%CI 21.42–32.60 and 38.9%, 95%CI 29.33–48.79, respectively), while glomerulonephritis is common in lower-middle-income countries (33.8%, 95%CI 15.62–54.81).

Conclusion
The leading cause of advanced-CKD in Southeast Asia is DKD, with a substantial proportion of glomerulonephritis. An efficient screening program targeting high-risk populations (diabetes mellitus and glomerulonephritis) is needed, with the aim to delay CKD progression.
Substreetutions and more on trees
Authors: BARAVIERA ALEXANDRE , LEPLAIDEUR RENAUD 
Published: April 2024

AbstractWe define a notion of substitution on colored binary trees that we call substreetution. We show that a point fixed by a substreetution may (or not) be almost periodic, and thus the closure of the orbit under the
$\mathbb {F}_{2}^{+}$
-action may (or not) be minimal. We study one special example: we show that it belongs to the minimal case and that the number of preimages in the minimal set increases just exponentially fast, whereas it could be expected a super-exponential growth. We also give examples of periodic trees without invariant measures on their orbit. We use our construction to get quasi-periodic colored tilings of the hyperbolic disk.
Mirrors of Death, Images of God: Likeness and Difference in Gregory of Nyssa’s Social Ethics
Authors: Breedlove Thomas , Fogleman Alex 
Published: April 2024

AbstractGregory of Nyssa’s critiques of various forms of social injustice hinge on his rigorous theological anthropology. For Gregory, slavery, the accumulation of wealth, and the mistreatment of the poor are evil because they deny the freedom proper to human creatures created according to the divine Image. However, Gregory’s anthropology also contains, we will argue, a distinct account of the ways in which humanity’s difference from God – particularly its poverty and limitation – reveals important aspects of the particular and ultimately Christological mode in which finite humans imitate the infinitude God. The aim of this present essay is to articulate how both likeness and unlikeness to God – mirrors of God and mirrors of death – are integral to Gregory’s theological anthropology as it pertains to various forms of social critique.
Isolation, identification, and antibacterial activity of endophytic fungus from Acanthus ilicifolius
Authors: Sruthi V. P. , Sreenath K. R. , Sumithra T. G. , Anusree V. N. , Sainamole Kurian P. 
Published: April 2024

Abstract
Antimicrobial-resistant bacteria pose serious public health risks, necessitating bioprospecting for novel antimicrobial drugs. The endophytic fungi of the mangrove ecosystem are hotspots for discovering new bioactive chemical compounds. In this context, an investigation was designed to determine the isolation of the major endophytic fungi inhabiting the leaves of Acanthus ilicifolius, a mangrove plant with a long history of traditional use in the Chinese and Indian medical systems. Based on the morphological characterizations and molecular analysis of internal transcribed spacer rDNA sequence data, the study identified three unique endophytic fungal species, namely, Periconia macrospinosa, Coprinopsis cinerea, and Alternaria sp. Of these, P. macrospinosa was identified as the most dominant one, with the highest relative frequency (35.22%). The antibacterial activity of P. macrospinosa isolate (CMFRI/fPM-01) was evaluated by the well and diffusion method against six human pathogens, viz., Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, Vibrio cholerae, Vibrio parahaemolyticus, and Vibrio vulnificus. The results demonstrated a high and wide spectrum of antimicrobial action of the isolate against all the tested human pathogens, with no significant difference (P > 0.05) in the activity between the pathogens. The antibacterial activity was further confirmed by determining the fungal culture supernatant's minimum inhibitory concentration and minimum bactericidal concentration. Although the studied fungi are known from other sources, this is the first report of P. macrospinosa and C. cinerea as endophytes in A. ilicifolius leaves. The outcomes also showed that the P. macrospinosa isolate could be used to discover effective antibacterial drugs against various human diseases.
Critical Size of Silver Iodide Containing Glaciogenic Cloud Seeding Particles
Authors: Chen Jie , Rösch Carolin , Rösch Michael , Shilin Aleksei , Kanji Zamin A. 
Published: April 2024

AbstractCloud seeding is considered a practical but unproved method to enhance precipitation or suppress hail, due to insufficient knowledge of ice formation and evolution after seeding clouds with ice nucleating particles. This study investigates the size effects on the immersion freezing of aerosol produced from commercial silver iodide (AgI) containing flares at mixed‐phase cloud temperatures from 243 to 267 K. Flare‐generated aerosol exhibited comparable ice nucleation ability (INA) to pure AgI particles in the size range of 200 and 400 nm. Non‐AgI impurities reduced the INA of flare‐generated particles ≤90 nm, which is lower than pure AgI particles ≤40 nm. The critical mass ice‐active site density of the generated aerosols (critical‐nm) was derived, indicating the minimum mass of AgI particles required for efficient ice nucleation. The new parameterization to predict critical‐nm can serve as a reference to optimize the effectiveness of cloud‐seeding materials for practical use.
Forecasting Tropical Annual Maximum Wet‐Bulb Temperatures Months in Advance From the Current State of ENSO
Authors: Zhang Yi , Boos William R. , Held Isaac , Paciorek Christopher J. , Fueglistaler Stephan 
Published: April 2024

AbstractHumid heatwaves, characterized by high temperature and humidity combinations, challenge tropical societies. Extreme wet‐bulb temperatures (TW) over tropical land are coupled to the warmest sea surface temperatures by atmospheric convection and wave dynamics. Here, we harness this coupling for seasonal forecasts of the annual maximum of daily maximum TW (TWmax). We develop a multiple linear regression model that explains 80% of variance in tropical mean TWmax and significant regional TWmax variances. The model considers warming trends and El Niño and Southern Oscillation indices. Looking ahead, the strong‐to‐very‐strong El Niño at the end of 2023, with an Oceanic Niño Index of ∼2.0, suggests a 2024 tropical land mean TWmax of 26.2°C (25.9–26.4°C), and a 68% chance (24%–94%) of breaking existing records. This method also predicts regional TWmax in specific areas.
Quantification of H2O in Amorphous and Crystalline Ferric Sulfates Relevant to Mars
Authors: Meng Fan , Shi Erbin , Liu Changqing , Ling Zongcheng 
Published: April 2024

AbstractCrystalline ferric sulfates (e.g., ferricopiapite and Fe(OH)SO4) have been proposed at multiple locations on Mars by the orbiter. While at Meridiani Planum and Gale Crater by rover missions, amorphous ferric sulfates were also suggested to exist in soils and sedimentary rocks. Ferric sulfates with different hydration degrees may play a key role in the water cycle on Mars. In order to understand the role of the hydrated ferric sulfates in the water cycle and their exact hydration states on Mars, five crystalline ferric sulfates and seven amorphous ferric sulfates with different hydration states were synthesized in the laboratory. The water content (number of H2O molecules per ferric sulfate molecule) was quantified by Raman spectroscopy and Laser‐induced breakdown spectroscopy (LIBS), respectively. It was found that the amorphous ferric sulfates water content has a good relationship with the SO4 tetrahedron main Raman feature position around 1,000 cm−1, shown as the intensity and area of water feature around 3,500 cm−1 over SO4 tetrahedron main Raman feature around 1,000 cm−1, respectively. Twelve ferric sulfates' Hα emission line area at 656.7 nm was normalized by the O emission line area at 778 nm in LIBS spectra. The crystalline and amorphous ferric sulfates all showed a good relationship between the values of normalized results and the water content. These results will aid us in precisely constraining the exact phases of hydrated ferric sulfates, provide a better reference for ChemCam, SuperCam, and Scanning Habitable Environments with Raman and Luminescence for Organics and Chemicals data interpretation and their use to quantify the water content in detected targets.
Olfactory genes affect major depression in highly educated, emotionally stable, lean women: a bridge between animal models and precision medicine
Authors: Eszlari Nora , Hullam Gabor , Gal Zsofia , Torok Dora , Nagy Tamas , Millinghoffer Andras , Baksa Daniel , Gonda Xenia , Antal Peter , Bagdy Gyorgy , Juhasz Gabriella 
Published: April 2024

AbstractMost current approaches to establish subgroups of depressed patients for precision medicine aim to rely on biomarkers that require highly specialized assessment. Our present aim was to stratify participants of the UK Biobank cohort based on three readily measurable common independent risk factors, and to investigate depression genomics in each group to discover common and separate biological etiology. Two-step cluster analysis was run separately in males (n = 149,879) and females (n = 174,572), with neuroticism (a tendency to experience negative emotions), body fat percentage, and years spent in education as input variables. Genome-wide association analyses were implemented within each of the resulting clusters, for the lifetime occurrence of either a depressive episode or recurrent depressive disorder as the outcome. Variant-based, gene-based, gene set-based, and tissue-specific gene expression test were applied. Phenotypically distinct clusters with high genetic intercorrelations in depression genomics were found. A two-cluster solution was the best model in each sex with some differences including the less important role of neuroticism in males. In females, in case of a protective pattern of low neuroticism, low body fat percentage, and high level of education, depression was associated with pathways related to olfactory function. While also in females but in a risk pattern of high neuroticism, high body fat percentage, and less years spent in education, depression showed association with complement system genes. Our results, on one hand, indicate that alteration of olfactory pathways, that can be paralleled to the well-known rodent depression models of olfactory bulbectomy, might be a novel target towards precision psychiatry in females with less other risk factors for depression. On the other hand, our results in multi-risk females may provide a special case of immunometabolic depression.