bluuebunny/crossref_metadata_2025_split huggingface dataset:
Super-resolution reconstruction of single image for latent features
Authors: Wang Xin , Yan Jing-Ke , Cai Jing-Ye , Deng Jian-Hua , Qin Qin , Cheng Yao 
Published: May 2024

AbstractSingle-image super-resolution (SISR) typically focuses on restoring various degraded low-resolution (LR) images to a single high-resolution (HR) image. However, during SISR tasks, it is often challenging for models to simultaneously maintain high quality and rapid sampling while preserving diversity in details and texture features. This challenge can lead to issues such as model collapse, lack of rich details and texture features in the reconstructed HR images, and excessive time consumption for model sampling. To address these problems, this paper proposes a Latent Feature-oriented Diffusion Probability Model (LDDPM). First, we designed a conditional encoder capable of effectively encoding LR images, reducing the solution space for model image reconstruction and thereby improving the quality of the reconstructed images. We then employed a normalized flow and multimodal adversarial training, learning from complex multimodal distributions, to model the denoising distribution. Doing so boosts the generative modeling capabilities within a minimal number of sampling steps. Experimental comparisons of our proposed model with existing SISR methods on mainstream datasets demonstrate that our model reconstructs more realistic HR images and achieves better performance on multiple evaluation metrics, providing a fresh perspective for tackling SISR tasks.
Lactobacillus acidophilus VB1 co-aggregates and inhibits biofilm formation of chronic otitis media-associated pathogens
Authors: Algburi Ammar R. , Jassim Shireen M. , Popov Igor V. , Weeks Richard , Chikindas Michael L. 
Published: May 2024

AbstractThis study aims to evaluate the antibacterial activity of Lactobacillus acidophilus, alone and in combination with ciprofloxacin, against otitis media-associated bacteria. L. acidophilus cells were isolated from Vitalactic B (VB), a commercially available probiotic product containing two lactobacilli species, L. acidophilus and Lactiplantibacillus (formerly Lactobacillus) plantarum. The pathogenic bacterial samples were provided by Al-Shams Medical Laboratory (Baqubah, Iraq). Bacterial identification and antibiotic susceptibility testing for 16 antibiotics were performed using the VITEK2 system. The minimum inhibitory concentration of ciprofloxacin was also determined. The antimicrobial activity of L. acidophilus VB1 cell-free supernatant (La-CFS) was evaluated alone and in combination with ciprofloxacin using a checkerboard assay. Our data showed significant differences in the synergistic activity when La-CFS was combined with ciprofloxacin, in comparison to the use of each compound alone, against Pseudomonas aeruginosa SM17 and Proteus mirabilis SM42. However, an antagonistic effect was observed for the combination against Staphylococcus aureus SM23 and Klebsiella pneumoniae SM9. L. acidophilus VB1 was shown to significantly co-aggregate with the pathogenic bacteria, and the highest co-aggregation percentage was observed after 24 h of incubation. The anti-biofilm activities of CFS and biosurfactant (BS) of L. acidophilus VB1 were evaluated, and we found that the minimum biofilm inhibitory concentration that inhibits 50% of bacterial biofilm (MBIC50) of La-CFS was significantly lower than MBIC50 of La-BS against the tested pathogenic bacterial species. Lactobacillus acidophilus, isolated from Vitane Vitalactic B capsules, demonstrated promising antibacterial and anti-biofilm activities against otitis media pathogens, highlighting its potential as an effective complementary/alternative therapeutic strategy to control bacterial ear infections.
The IMP research on business networks: a systematic literature review and research agenda
Authors: Guercini Simone , La Rocca Antonella , Perna Andrea 
Published: May 2024

AbstractMore than 40 years of Industrial Marketing and Purchasing (IMP) research have revealed that in b2b markets, business exchange is carried out in continuous buyer–seller relationships. This involves direct and indirect interaction and dynamics resulting in significant related social and material investments and in extensive interdependencies that confer on the business landscape a market-as-network structure. Since the introduction of this ideas, research on business networks has been richly alimented by researchers of the IMP community. Yet, we do not have a clear overview of what this literature has covered in the last twenty years (in the period 2002–2022), in parallel with the many changes that have affected business landscape. With this study, we aim to examine what is the status of the last 20 years of IMP literature specifically dealing with the business networks level of analysis (45 articles) and to offer key directions for imminent research in this domain while analyzing and synthesizing extant literature.
Robotica: decoupled elastostatic stiffness modeling of hybrid robots
Authors: Wang Baoyu , Li Peixing , Yang Chao , Hu Xudong , Zhao Yanzheng 
Published: May 2024

AbstractA decoupling method is proposed for the elastic stiffness modeling of hybrid robots based on the rigidity principle, screw theory, strain energy, and Castigliano’s second theorem. It enables the decoupling of parallel and serial modules, as well as the individual contributions of each elastic component to the mechanism’s stiffness performance. The method is implemented as follows: (1) formulate limb constraint wrenches and corresponding limb stiffness matrix based on the screw theory and strain energy, (2) formulate the overall stiffness matrix of parallel and serial modules corresponding to end of the hybrid robots based on the rigidity principle, principle of virtual work, the wrench transfer formula, and strain energy methods, and (3) obtain and decouple the overall stiffness matrix and deflection of the robot based on the Castigliano’s second theorem. Finally, A planar hybrid structure and the 4SRRR + 6R hybrid robot are used as illustrative examples to implement the proposed method. The results indicate that selectively enhancing the stiffness performance of the mechanism is the most effective approach.
TWISTED GAN–GROSS–PRASAD CONJECTURE FOR CERTAIN TEMPERED L-PACKETS
Authors: Chen Rui , Gan Wee Teck 
Published: May 2024

AbstractIn this paper, we investigate the twisted GGP conjecture for certain tempered representations using the theta correspondence and establish some special cases, namely when the L-parameter of the unitary group is the sum of conjugate-dual characters of the appropriate sign.
The Democratization of Long-Distance Migration: Trajectories and Flows during the “Mobility Transition,” 1850–1910
Authors: Greefs Hilde , Winter Anne 
Published: May 2024

AbstractThis article analyzes and demonstrates the declining social selectivity of migration distance in Europe’s long nineteenth century and argues that this drove a radically new process of democratization of long-distance migration. It uses innovative spatial and quantitative analysis of nominal data on more than 5,000 international migrants who moved to the booming port city of Antwerp in present-day Belgium between 1850 and 1910. Examining the changes in migrants’ origins and trajectories on the one hand, and in their profiles in terms of gender and occupations on the other hand, it argues that the main evolutions observed represent an overall loosening of the ancien régime link between migration distance on the one hand and social selectivity on the other hand. By focusing on gender and social class as markers of social selectivity and by mapping the impressive expansion of the trajectories of Antwerp’s growing number of long-distance migrants, it lays bare the spatial, gender, and social dimensions that contributed to a general process of democratization of long-distance migration. As such, it sheds new light on the dynamics of Europe’s so-called “mobility transition” in the long nineteenth century.
Coupled Detachment Faulting and Hydrothermal Circulation at 49.7°E Southwest Indian Ridge Revealed by Seafloor Magnetism
Authors: Liu Long , Zhou Jianping , Wu Tao , Tao Chunhui , Wang Shishun , Su Zhaoyang , Li Qianyu , Chen Ming , Jie Tianyu , Sui Bin 
Published: May 2024

AbstractDetachment faults at slow‐ and ultraslow‐spreading mid‐ocean ridges are essential for lithosphere‐hydrosphere interactions. However, their coupling with subseafloor hydrothermal circulation is poorly understood. Here, we investigated shallow hydrothermal fluid circulations in the active Dragon Horn detachment fault system of the Southwest Indian Ridge using combined near‐bottom magnetic anomaly data and rock magnetic analyses. We observed enhanced magnetic anomalies related to the high magnetization of basaltic country rocks and highly serpentinized (>80%) peridotite, whereas the hydrothermally altered basalts and sulfide deposits had weak magnetization and reduced magnetic anomalies. Therefore, the low‐magnetization zone was interpreted as a proxy for the hydrothermal fluid channel. The spatial distribution of the low‐magnetization zone revealed that the inactive Suye field expanded more than 500 m in diameter horizontally and ∼100 m vertically, and the active Longqi hydrothermal field had a >1 km fluid channel, both centered around the detachment fault fracture zone. Our results establish a robust link between detachment faulting and shallow hydrothermal circulation in which the detachment fault system provides critical fluid paths. Therefore, detachment tectonics are important elements for evolving seafloor hydrothermal fields along the Southwest Indian Ridge and possibly other slow‐ and ultraslow‐spreading mid‐ocean ridges globally.
A Novel Strategy for Automatic Selection of Cross‐Basin Data to Improve Local Machine Learning‐Based Runoff Models
Authors: Nai Congyi , Liu Xingcai , Tang Qiuhong , Liu Liu , Sun Siao , Gaffney Paul P. J. 
Published: May 2024

AbstractPrevious studies have shown that regional deep learning (DL) models can improve runoff prediction by leveraging large hydrological datasets. However, training a DL regional model using all data without screening may degrade local performance. This study focuses on constructing enhanced local models through the utilization of cross‐basin data. To this end, we propose an approach that employs a novel training strategy to optimize DL model training for specific basins. The approach measures the impact of any one basin's gradient on the loss of the basin of interest, providing insights into the relationships between different basins. The approach was validated using 531 basins from the CAMELS dataset. Results suggest that local performance degradation is a common occurrence in regional models, and imbalanced data are likely to result in a specific pattern dominating the entire regional model. In comparison to a regional model simply trained with all basins, the median Nash‐Sutcliffe efficiency (NSE) for our models is 0.031 higher. In particular, the increase in NSE can exceed 0.2 for some dry basins. Our findings indicate that this novel DL strategy can significantly improve model performance in specific basins using large hydrological datasets, while mitigating local performance loss.
Occlusal considerations in maintaining health of implants and their restorations
Authors: Stilwell Charlotte 
Published: May 2024

AbstractDental implants are a regular feature in daily clinical practice and there is a need to undertake routine assessment and maintenance of implants and their restorations on par with that provided for natural teeth. Occlusal checks form an important part of the maintenance regime for preserving the integrity of implants, their restorations, and health of the peri-implant tissues. Implant restorations are subjected to the full characteristics and magnitude of occlusal forces, including those associated with parafunction. Compared with the periodontal ligament around teeth, the biophysical response to occlusal forces of osseointegration is different through the more rigid link of implant to bone and reduced proprioception. Risks attributable to occlusal forces primarily affect implant restorations and they are elevated in the presence of bruxism. The occlusal guidelines recommended by the literature are aimed at reducing these risks and regular assessment and maintenance of the occlusion is essential. A four-step sequence is presented to ensure that the annual occlusal checks include the patient's input and evaluation of restoration integrity, occlusal scheme, additional protection, and spatial changes.
Vehicle logistics intermodal route optimization based on Tabu search algorithm
Authors: Ru Siyuan 
Published: May 2024

AbstractWith the development of logistics enterprises and the adjustment of some relevant laws and regulations, the profit space of vehicle logistics enterprises has been further compressed. To reduce vehicle logistics transportation cost and increase the profit space of vehicle logistics, the vehicle logistics multimodal transport network is constructed and the graph traversal algorithm is used to screen the feasible paths in the vehicle logistics multimodal transport network. Then, the Tabu search algorithm can optimize vehicle logistics multimodal transport route model. Results showed that Tabu search performed better than other methods in solving route optimization problems. The cost of Tabu search algorithm after convergence was 1.2 yuan/km × per set. The performance of Tabu search algorithm on NGSIM data set was better than other methods. On this data set, the area under the curve of Tabu search algorithm was much higher than that of other methods. The optimization results of Tabu search for vehicle logistics intermodal routes were effective. Among the 15 routes, only four routes were not optimized, and other routes were optimized. After optimization, the profits have increased, and the profit of Route 9 had the largest increase, which was 18%. The research successfully constructs the optimization model of vehicle logistics intermodal route, and completes the solution to increase the profit space of vehicle logistics enterprises.
Real-world experience utilizing the nuvision 4D intracardiac echocardiography catheter for left atrial appendage closure
Authors: Adams Alex , Mahmood Riaz , Balaji Nivedha , Dixit Priyadarshini , Chandra Shalabh , Weisman David 
Published: May 2024

AbstractTransesophageal echocardiography (TEE) has been the preferred imaging modality to help guide left atrial appendage closure. Newer technologies such as the Nuvision 4D Intracardiac echocardiography (ICE) catheter allow for real-time 3D imaging of cardiac anatomy. There are no direct comparison studies for procedural imaging between TEE and 4D ICE. To evaluate the performance and safety of left atrial appendage (LAA) closure procedures with the Watchman FLX and Amulet, guided by the Nuvision 4D ICE Catheter. This retrospective observational analysis was conducted on institutional LAAO National Cardiovascular Data Registry from January 2022 to March 2023. Patients had undergone LAA closure procedures with the Watchman FLX or Amulet device guided by TEE or a 4D ICE Catheter. The primary outcome evaluated was successful LAAO device placement. A total of 121 patients underwent LAAO device placement with 46 (38.0%) patients guided by 4D ICE during LAAO implantation. The 4D ICE group had a shorter procedural time compared with TEE guidance. Post procedural 45-day TEE post implant was also comparable for both groups with no patients in either group having incomplete closure of the left atrial appendage and peri-device leak > 5 mm. No device related complications (device related access, stroke, or pericardial effusion) occurred in either group at follow-up. There was no significant difference in device implant success or post procedural outcomes at 45 days in either the TEE or 4D ICE group. However, there was a noticeable improvement in procedural time with the 4D ICE catheter.
Prolonged intermittent theta burst stimulation targeting the left prefrontal cortex and cerebellum does not affect executive functions in healthy individuals
Authors: Xu Mei , Nikolin Stevan , Moffa Adriano M. , Xu Xiao Min , Su Yon , Li Roger , Chan Ho Fung , Loo Colleen K. , Martin Donel M. 
Published: May 2024

AbstractRepetitive transcranial magnetic stimulation (rTMS) for alleviating negative symptoms and cognitive dysfunction in schizophrenia commonly targets the left dorsolateral prefrontal cortex (LDLPFC). However, the therapeutic effectiveness of rTMS at this site remains inconclusive and increasingly, studies are focusing on cerebellar rTMS. Recently, prolonged intermittent theta-burst stimulation (iTBS) has emerged as a rapid-acting form of rTMS with promising clinical benefits. This study explored the cognitive and neurophysiological effects of prolonged iTBS administered to the LDLPFC and cerebellum in a healthy cohort. 50 healthy participants took part in a cross-over study and received prolonged (1800 pulses) iTBS targeting the LDLPFC, cerebellar vermis, and sham iTBS. Mixed effects repeated measures models examined cognitive and event-related potentials (ERPs) from 2-back (P300, N200) and Stroop (N200, N450) tasks after stimulation. Exploratory non-parametric cluster-based permutation tests compared ERPs between conditions. There were no significant differences between conditions for behavioural and ERP outcomes on the 2-back and Stroop tasks. Exploratory cluster-based permutation tests of ERPs did not identify any significant differences between conditions. We did not find evidence that a single session of prolonged iTBS administered to either the LDLPFC or cerebellum could cause any cognitive or ERP changes compared to sham in a healthy sample.
Periodic open and closed resonators as a biosensor using two computational methods
Authors: Zaky Zaky A. , Al-Dossari M. , Hendy Ahmed S. , Badawy Wael M. , Aly Arafa H. 
Published: May 2024

AbstractThe volatile particles and molecules in our dry exhaled breath can reveal enormous information about the health of any person, such as the person’s respiratory and metabolic functioning. Beyond the carbon dioxide level is an indicator of life, it provides important health-related data like people’s metabolic rate. This study considers periodic open and closed resonators for measuring carbon dioxide concentration in dry exhaled breath. Transfer matrix and green methods are used to simulate the interaction between acoustic waves and the proposed sensor. The band gaps using the green method coincide with the transmittance spectra by the transfer matrix. The suggested sensor recorded a sensitivity of $$5.3 Hz.{m}^{-1}.s$$

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, a figure of merit of 10,254 $${m}^{-1}.s$$

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, a detection limit of $$5\times {10}^{-6} m.{s}^{-1}$$

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, and a quality factor of $$3\times {10}^{6}$$

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. Furthermore, the efficiency shows that the proposed design is appropriate as a diagnostic sensor for different diseases such as chronic obstructive pulmonary. Besides, cylindrical-adapted sensors are urgently needed in medicine, industry, and biology because they can simultaneously be used for fluid transport and detection.
The applicability of markerless motion capture for clinical gait analysis in children with cerebral palsy
Authors: Wishaupt Koen , Schallig Wouter , van Dorst Marleen H. , Buizer Annemieke I. , van der Krogt Marjolein M. 
Published: May 2024

AbstractThe aim of this comparative, cross-sectional study was to determine whether markerless motion capture can track deviating gait patterns in children with cerebral palsy (CP) to a similar extent as marker-based motion capturing. Clinical gait analysis (CGA) was performed for 30 children with spastic CP and 15 typically developing (TD) children. Marker data were processed with the Human Body Model and video files with Theia3D markerless software, to calculate joint angles for both systems. Statistical parametric mapping paired t-tests were used to compare the trunk, pelvis, hip, knee and ankle joint angles, for both TD and CP, as well as for the deviation from the norm in the CP group. Individual differences were quantified using mean absolute differences. Markerless motion capture was able to track frontal plane angles and sagittal plane knee and ankle angles well, but individual deviations in pelvic tilt and transverse hip rotation as present in CP were not captured by the system. Markerless motion capture is a promising new method for CGA in children with CP, but requires improvement to better capture several clinically relevant deviations especially in pelvic tilt and transverse hip rotation.
Thermodynamic, chemical, and electrochemical studies of Aloe ferox Mill extract as a naturally developing copper corrosion inhibitor in HCl solution
Authors: Alanazi Kaseb D. , Alshammari Basmah H. , Alanazi Tahani Y. A. , Alshammari Odeh A. O. , Ashmawy Ashraf M. , Aljohani Meshari M. , Haq Isma , Hameed Reda Abdel , Deyab M. A. 
Published: May 2024

AbstractCopper can be susceptible to corrosion in acidic cleaning solutions for desalination system, especially if the solution is highly concentrated or if the cleaning process involves extended exposure to the acid. In the current work, Aloe ferox Mill (AFM extract) can be used as a natural origin corrosion inhibitor for copper in 1.0 M HCl solution. The corrosion mitigation qualities of AFM extract were assessed by means of electrochemical, gravimetric, and surface examinations. AFM extract is a mixed-type inhibitor, based on polarization research findings. The inhibitory effectiveness of AFM extract rises with concentration, reaching its maximum level (93.3%) at 250 mg L–1. The inclusion of AFM extract raises the activation energy for the corrosion reaction from 7.15 kJ mol–1 (blank solution) to 28.6 kJ mol–1 (at 250 mg L–1 AFM extract).
Analysis of employee diligence and mining of behavioral patterns based on portrait portrayal
Authors: Wang Chiyin , Liu Yiming 
Published: May 2024

AbstractWith the deepening of enterprise digital construction, the portrait portrayal based on employee behaviors has gradually become a research focus. Currently, the employee's portrait portrayal mostly has the problems of simple means, low efficiency, limited solving ability, etc., making the results more one-sided. Therefore, a data mining-based employee portrait portrayal model is proposed. The content of employee portrait portrayal is deeply analyzed, and the overall framework of the model is designed. A diligence analysis model (DAM) based on improved GAN is constructed, and the diligence evaluation of employees is clarified to realize the diligence evaluation. The results of diligence analysis of DAM have high accuracy (80.39%) and outperform SA (70.24%), K-means (51.79%) and GAN (67.25%). The Kappa coefficient of DAM reaches 0.7384, which is highly consistent and higher than SA (0.6075), K-means (0.3711) and GAN (0.5661). The Local Outlier Factor (LOF) and Isolation Forest (IF) are used to detect abnormal behaviors on the employees, and mine the abnormal behavior patterns on different granularity time. The LSTM model (Att-LSTM) based on the attention mechanism is used to complete the prediction of employees' software usage behaviors, and analyze and summarize the characteristics of employee's behaviors from multiple perspectives. Att-LSTM predicts the best with an RMSE of 0.82983, which is better than LSTM (0.90833) and SA (0.97767); AM-LSTM has a MAPE of 0.80323, which is better than LSTM (0.86233) and SA (0.92223). The results show that the data mining-based employee portrait portrayal method can better solve the problem of enterprise employees' digital construction, and provide a new way of thinking for the construction of enterprise-level employees' digital portrait model and the analysis of employee behavior.