bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of a two‐degrees‐of‐freedom robotic arm for monitoring applications for teaching robotics and artificial intelligence technology
Authors: Valenzuela‐Domínguez Fausto A. , Munguía‐Martínez Laura F. , Meléndez‐Tiznado Sofía , Guzmán‐Limón Zuneth , Benitez Victor H. , Félix‐Herrán Luis C. 
Published: August 2024

AbstractThis manuscript proposes a methodology for teaching undergraduate engineering students fundamental concepts of artificial intelligence and robotics applicable in Industry 4.0 using a project‐based learning strategy. A low‐cost prototype of a two‐degrees‐of‐freedom robotic arm was designed and implemented for monitoring applications, integrating the Internet of Things and artificial intelligence technology. Inverse and direct kinematics are applied in the robotic arm design, enabling the execution of desired trajectories by the robot's end effector. The robot, capable of following user‐programmed trajectories, uses two servo motors with a 180° mobility range, integrated into a 3D printed structure made from polylactic materials, whereas the programmable logic was accomplished using an ESP32 microcontroller. Furthermore, the robot is controlled through a MATLAB GUI (Graphical User Interface), designed to obtain detailed process information such as activity status, trajectory type, and quality. The results demonstrate the feasibility of integrating various cutting‐edge technologies to teach fundamental concepts of Industry 4.0. The proposed methodology could allow educators to design a robotics course where students are motivated by practical experience implementing impactful technologies beyond the academic realm.
Nadine: A large language model‐driven intelligent social robot with affective capabilities and human‐like memory
Authors: Kang Hangyeol , Ben Moussa Maher , Thalmann Nadia Magnenat 
Published: August 2024

AbstractIn this work, we describe our approach to developing an intelligent and robust social robotic system for the Nadine social robot platform. We achieve this by integrating large language models (LLMs) and skillfully leveraging the powerful reasoning and instruction‐following capabilities of these types of models to achieve advanced human‐like affective and cognitive capabilities. This approach is novel compared to the current state‐of‐the‐art LLM‐based agents which do not implement human‐like long‐term memory or sophisticated emotional capabilities. We built a social robot system that enables generating appropriate behaviors through multimodal input processing, bringing episodic memories accordingly to the recognized user, and simulating the emotional states of the robot induced by the interaction with the human partner. In particular, we introduce an LLM‐agent frame for social robots, social robotics reasoning and acting, serving as a core component for the interaction module in our system. This design has brought forth the advancement of social robots and aims to increase the quality of human–robot interaction.
Can Angle Measures Be Useful in MCR Analyses?
Authors: Neymeyr Klaus , Beese Martina , Abdollahi Hamid , Sawall Mathias 
Published: August 2024

ABSTRACTIn MCR analyses, the similarity of pairs of spectra or concentration profiles can be measured in terms of the acute angle that is enclosed by the representing vectors. Acute angles between vectors can be generalized to pairs of subspaces. So‐called canonical angles, also called principal angles, measure the mutual orientation of a pair of subspaces. This work discusses how angles and canonical angles can support multivariate curve resolution analyses. A canonical angle analysis (CAA) can help to detect changes of the chemical composition during a chemical reaction in a way comparable, but different to the evolving factor analysis (EFA).
Construction of Covalent Triazine Frameworks with Electronic Donor‐Acceptor System for Efficient Photocatalytic C−H Hydroxylation of Imidazole[1,2‐α]Pyridine Derivatives
Authors: Qiao Huijie , Zhao Kun , Wang Shixing , Xu Xiaoxu , Chen Sicheng , Kong Xiangtao , Yang Liting , Jiao Mingli , Zhai Lipeng 
Published: August 2024

AbstractCovalent triazine frameworks (CTFs) are promising heterogeneous photocatalyst candidates owing to their excellent stability, conjugacy, and tunability. In this study, a series of CTFs decorated with different substituents (H, MeO, and F) were synthesised and utilised as photocatalysts for C−H activation reactions. The corresponding optoelectronic properties could be precisely regulated by the electronic effects of different substituents in the nanopore channels of the CTFs; these CTFs were effective photocatalysts for C−H activation in organic synthesis due to their unique structures and optoelectronic properties. Methoxy‐substituted CTF (MeO‐CTF) exhibited extraordinary catalytic performance and reusability in C−H functionalization by constructing an electronic donor‐acceptor system, achieving the highest yield in the photocatalytic C3–H hydroxylation of 2‐phenylimidazole[1,2‐α]pyridine. This strategy provides a new scaffold for the rational design of CTFs as efficient photocatalysts for organic synthesis.
Predicting three phase (hydrate–liquid–vapour) equilibria of mixed hydrates in guest gas swapping: AI‐based approach versus physical modelling
Authors: Patel Gauri Shankar , Jana Amiya K. 
Published: August 2024

AbstractPrior to investigating the guest gas replacement characteristics, the estimation of equilibrium condition for the coexisting hydrate–liquid–vapour (HLV) phases is crucial. For this, there are various studies which have reported the physical thermodynamic model for equilibrium estimation. In this contribution, a data‐driven formulation is developed as an alternative approach within the framework of artificial intelligence (AI) to predict the three‐phase equilibrium of binary and ternary mixed hydrates associated with guest swapping at diverse geological conditions. For this, we use the experimental data sets related to guest (pure and mixed CO2) replacement in hydrate structures with and without salts (i.e., single and multiple salts of NaCl, KCl, and CaCl2). Various training algorithms, namely Levenberg–Marquardt (LM), scaled conjugate gradient (SCG), Broyden–Fletcher–Goldfarb–Shanno (BFGS) quasi‐Newton, and Bayesian regularization (BR), are employed to formulate the artificial neural network (ANN) model. Performing a systematic comparison between them, we select the best option suited for the hydrate system. The best performing ANN model is compared with an existing physical thermodynamic model for predicting the equilibrium condition in pure water. It is observed that the ANN (BR) model consistently secures the lower percent absolute average relative deviation (i.e., %AARD <2%) than the latest physical model. Finally, the developed AI model is extended to predict the three‐phase HLV equilibrium in presence of salt solutions.
A study on enhancing oil recovery efficiency through bubble displacement based on microfluidic technology
Authors: Xu Fan , Jin Yujie , Fan Yiqiang 
Published: August 2024

AbstractTight sandstone contains a large number of oil and gas resources, but because of its ultra‐low porosity, permeability, and strong hydrophilicity, the oil recovery is low. Microfluidic technology, as an emerging research technique, offers advantages in visualizing fluid flow, reducing experimental reagent consumption, and accurately simulating the pore structure of sandstone using microfluidic chips. This study presents an effective research methodology for improving tertiary oil recovery efficiency in sandstone. By analyzing pore slice images of sandstone cores and employing image processing techniques, the study extracted characteristic dimensions of the sandstone and designed a microfluidic chip. A displacement system was constructed using high‐speed cameras, constant‐pressure pumps, and microscopes to monitor the oil displacement process. A bubble generation device based on ultrafiltration membranes was proposed to introduce generated bubbles into the microfluidic chip with a sandstone structure for oil displacement studies. Real‐time monitoring of the displacement process was conducted. Water and foam were used as displacing agents to investigate the displacement process in the microfluidic chip mimicking the sandstone core structure. Additionally, analysis and comparison were performed on foam formulation, surfactant concentration, and foam proportion, quantitatively evaluating the oil displacement efficiency under various experimental conditions. The proposed research is helpful for the understanding of the foam flooding process on a micro‐scale and of significant application potential for the enhanced oil recovery of sandstone reservoirs.
Impact of transforming karst mountainous forests into urban parks on plant diversity patterns
Authors: Wang Weize , Gao Xiaoyan , Cen Chunhua , Jian Mengping , Wang Zijin , Yang Jingyi 
Published: August 2024

AbstractThe conversion of urban montane forest resources into urban parks requires careful assessment to understand its impacts on plant diversity over time. This study aims to enhance urban biodiversity conservation strategies by analyzing how habitat type and park age affect woody plant diversity. We surveyed woody plant species in 60 sample plots across two different habitats (remnant forest vs. artificial green space) within three mountain parks in Guiyang, China, established at different times. The alpha diversity of saplings/seedlings was significantly higher in remnant forests than in artificial green spaces. Artificial green spaces exhibited more homogenous woody plant composition compared with remnant forests. Newer parks showed greater variation in plant composition between the two habitats than older parks. Indicative species in remnant forests were predominantly native, whereas those in artificial green spaces were mainly ornamental species. The transformation of karst mountainous forests into urban parks leads to the homogenization of woody plant composition and impedes the regeneration of saplings/seedlings. Therefore, it is crucial to manage these conversions carefully and strive to preserve as many native species as possible to support urban plant diversity conservation.
Precision prediction of heart failure events in patients with dilated cardiomyopathy and mildly reduced ejection fraction using multi‐parametric cardiovascular magnetic resonance
Authors: Hammersley Daniel J. , Mukhopadhyay Srinjay , Chen Xiuyu , Jones Richard E. , Ragavan Aaraby , Javed Saad , Rajabali Husein , Androulakis Emmanuel , Curran Lara , Mach Lukas , Khalique Zohya , Baruah Resham , Guha Kaushik , Gregson John , Zhao Shihua , De Marvao Antonio , Tayal Upasana , Lota Amrit S. , Ware James S. , Pennell Dudley J. , Prasad Sanjay K. , Halliday Brian P. 
Published: August 2024

AbstractAimsTo assess whether left ventricular (LV) global longitudinal strain (GLS), derived from cardiovascular magnetic resonance (CMR), is associated with (i) progressive heart failure (HF), and (ii) sudden cardiac death (SCD) in patients with dilated cardiomyopathy with mildly reduced ejection fraction (DCMmrEF).Methods and resultsWe conducted a prospective observational cohort study of patients with DCM and LV ejection fraction (LVEF) ≥40% assessed by CMR, including feature‐tracking to assess LV GLS and late gadolinium enhancement (LGE). Long‐term adjudicated follow‐up included (i) HF hospitalization, LV assist device implantation or HF death, and (ii) SCD or aborted SCD (aSCD). Of 355 patients with DCMmrEF (median age 54 years [interquartile range 43–64], 216 men [60.8%], median LVEF 49% [46–54]) followed up for a median 7.8 years (5.2–9.4), 32 patients (9%) experienced HF events and 19 (5%) died suddenly or experienced aSCD. LV GLS was associated with HF events in a multivariable model when considered as either a continuous (per % hazard ratio [HR] 1.10, 95% confidence interval [CI] 1.00–1.21, p = 0.045) or dichotomized variable (LV GLS > −15.4%: HR 2.70, 95% CI 1.30–5.94, p = 0.008). LGE presence was
not associated with HF events (HR 1.49, 95% CI 0.73–3.01, p = 0.270). Conversely, LV GLS was not associated with SCD/aSCD (per % HR 1.07, 95% CI 0.95–1.22, p = 0.257), whereas LGE presence was (HR 3.58, 95% CI 1.39–9.23, p = 0.008). LVEF was neither associated with HF events nor SCD/aSCD.ConclusionMulti‐parametric CMR has utility for precision prognostic stratification of patients with DCMmrEF. LV GLS stratifies risk of progressive HF, while LGE stratifies SCD risk.
Electrocoating of polyaniline on graphite carbon and activated carbon cloth surfaces as an anode and its effect on performance of microbial fuel cell
Authors: Afrianto Andika Wahyu , Sreearunothai Paiboon , Sombatmankhong Korakot , Babel Sandhya 
Published: August 2024

AbstractMicrobial fuel cell (MFC) is a bioelectrochemical‐based reactor that can generate electrical energy directly from wastewater by utilizing microbial activity that oxidizes the waste organic matter. This study aims to synthesize polyaniline (PANI) and deposit on a graphite carbon electrode (GCE) and activated carbon cloth (ACC) surface to use as an anode material for MFCs. The MFC performance was evaluated using oxygen and ferricyanide as electron acceptors. PANI was electropolymerized from its aniline monomer and deposited using an electrophoretic deposition method onto the electrode surface. A PANI thin film was characterized using FTIR, field emission scanning electron microscopy (FESEM), BET, and electrochemical analysis. The analysis results show the characteristic peaks of PANI at 1557 cm−1, demonstratinjg the existence of quinoid rings (NQN), while the peaks at 1479 and 1400 cm−1 corresponding to the benzenoid (NBN) stretching in the PANI structure. The FESEM analysis confirmed that PANI appeared to have a porous structure on modified electrodes. It was found that the best system was MFC with ferricyanide as the electron acceptor. The highest power density produced is 254 mWm−2 from GCE‐PANI and 16.47 mWm−2 from ACC‐PANI. The normalized energy recovery of GCE‐PANI and ACC‐PANI in ferricyanide is 0.115 kWh kgCOD−1 and 5.67 × 10−3 kWh kgCOD−1, respectively. The COD removal was observed to be 88.8% for GCE‐PANI and 87.2% for ACC‐PANI from 1000 mg/L COD.
Bibliometric analysis of the correlation between H. pylori and inflammatory bowel disease
Authors: Li Yantong , Li Limin , Yin Wenmeng , Wan Juyi , Zhong Xiaolin 
Published: August 2024

AbstractBackgroundHelicobacter pylori (H. pylori) infection is prevalent and associated with the development of various gastric diseases. On the other hand, inflammatory bowel disease (IBD) is an immune‐related intestinal disorder influenced by factors like gut microbiota imbalance, genetic predisposition, and environmental influences. Despite extensive research on the H. pylori–IBD relationship, a comprehensive bibliometric analysis in this area is lacking. Therefore, this study aims to use bibliometric methods to explore research trends, hotspots, and frontiers in H. pylori and IBD‐related research, offering valuable insights for future research and clinical practice.MethodsWe retrieved relevant literature on H. pylori and IBD from the Web of Science Core Collection (WoSCC) and Scopus databases covering 2007 to 2024. We perform a comprehensive analysis within the WoSCC literature. We compare these findings with relevant results from Scopus.ResultsResearch on H. pylori and IBD has remained prominent in recent years. The United States leads in output, with strong contributions from authors, institutions, and journals. China, despite being a developing country, shows rapid article growth, signaling growing research potential. Key topics include Crohn's disease, gut microbiota, H. pylori infection, and ulcerative colitis. Newer interests include health, cancer prevention, and chronic gastritis.ConclusionOver the past, research on H. pylori and IBD has primarily centered around epidemiology and clinical studies. The question of whether H. pylori definitively offers protective effects against IBD remains unresolved. Therefore, further investigation could explore the underlying mechanisms of their relationship or initiate long‐term prospective cohort studies to gather more compelling evidence.
Lifestyle, medication use, and age considerations with acne vulgaris: A prospective study
Authors: Snyder Ashley M. , Stone Caroline J. , Ufkes Nicole , Greene Tom , Playdon Mary C. , Murtaugh Maureen A. , Vanneman Megan E. , Secrest Aaron M. 
Published: August 2024

AbstractBackgroundLifestyle has been associated with acne, but few studies assess how the relationship changes over time. Observational studies often overlook the effects of acne medication use and participant age in relationships with lifestyle‐related factors.ObjectivesTo describe relationships between lifestyle‐related factors, medication use, and age in adolescent and young adult acne patients and acne‐free controls.MethodsThis prospective study recruited 12‐ to 24‐year‐olds with or without acne at baseline. Surveys were electronically administered at enrolment and again 6 weeks later. Analyses were conducted on all participants who had complete baseline data (N = 190) and participants who had complete baseline and follow‐up data (N = 61).ResultsAmong 190 participants who completed the baseline survey, ages ranged from 12 to 24 years, but acne cases were concentrated in the middle of this range while controls had comparably more participants with ages towards the extremes. Among 61 participants who completed both baseline and follow‐up surveys, no participants indicated worse acne over the 6 weeks, and most acne cases believed their acne improved (n = 25 [69.4%]). Acne cases who used medication daily (N = 24) saw improved emotion‐related quality of life between the two assessments (mean ± standard deviation: 43.4 ± 24.4 to 29.1 ± 23.7; p < 0.001). Among acne cases who used medication daily, average fruit or vegetable consumption increased from 2.4 ± 2.0 to 3.0 ± 2.9 times per day over the preceding 7 days (p = 0.02). Among acne cases who believed their acne improved over the 6 weeks post‐dermatology visit (N = 25), average days of skin picking over the previous 7 days declined between assessments (3.9 ± 2.4 to 2.4 ± 1.9 days; p = 0.003).ConclusionsMedication use and age differences should be considered when designing future studies on acne and lifestyle‐related factors.
A methodology for enhancing bandwidth with keeping steepness of the ladder filters exploiting acoustic‐wave‐lumped‐element resonators
Authors: Tang Xianli , Jia Yonghao , Zhang Qiaozhen , Lu Wei‐Bing 
Published: August 2024

AbstractA methodology to acquire a wide bandwidth and steep transition of a hybrid ladder filter with the acoustic‐wave‐lumped‐element‐resonators (AWLRs) structure is proposed. Different from previous works, a unit of the new AWLR structure with two lumped elements respectively in series and shunt is proposed. It can change both the series‐resonant frequency and the parallel‐resonant frequency of the acoustic wave (AW) resonator to enhance the bandwidth of the hybrid ladder filter. For the ladder structure, all the AW resonators possess the same resonant frequency and impedance. This ladder structure is also used to keep the steep transition of the hybrid filter. For the validations, two‐stage and four‐stage AWLRs‐based hybrid filters are designed, manufactured, and tested. They include (1) a two‐stage filter with an insertion loss (IL) of 0.9 dB, a fractional bandwidth (FBW) of 1.90kt2 (kt2 is the electromechanical coupling coefficient), a center frequency of 1249.3 MHz, and (2) a four‐stage filter with the IL of 1.3 dB, the FBW of 1.86kt2, the SF30 dB/3 dB (shape factor defined as 30‐dB bandwidth divided by 3‐dB bandwidth) of 2.52, the figure of merit (defined as FBW divided by SF30 dB/3 dB) is 0.74kt2 which is the best result, a center frequency of 1249.4 MHz.
Single machine scheduling with the total weighted late work and rejection cost
Authors: Sang Yao‐Wen , Wang Jun‐Qiang , Sterna Małgorzata , Błażewicz Jacek 
Published: August 2024

AbstractWe study a single machine scheduling problem with the total weighted late work and the total rejection cost. The late work of a job is the part of this job executed after its due date, and the rejection cost of a job is the fee of rejecting to process it. We consider a Pareto scheduling and two restricted scheduling problems. The Pareto scheduling problem aims to find all non‐dominated values of the total weighted late work and the total rejection cost. The restricted scheduling problems are dedicated to minimizing the total weighted late work with the total rejection cost not greater than a given threshold, and minimizing the total rejection cost with the total weighted late work not greater than a given threshold, respectively. For the Pareto scheduling problem, we prove that it is binary NP‐hard by providing a pseudo‐polynomial time algorithm, and give a fully polynomial time approximation scheme (FPTAS). For the restricted scheduling problems, we prove that there are no FPTASes unless , which answers an open problem. Moreover, we develop relaxed FPTASes for these two restricted scheduling problems.
Intracranial epidural abscess secondary to medication‐related osteonecrosis of the jaw: A case report
Authors: Shibata Akio , Kawahara Kou , Ono Shoya , Hatsukawa Kumiko , Tange Yuki 
Published: August 2024

AbstractBackgroundAn intracranial abscess secondary to medication‐related osteonecrosis of the jaw (MRONJ) is a rare condition that can spread to the skull through continuous structures.Case presentationA 71‐year‐old man with an intracranial epidural abscess caused by MRONJ in the maxilla. Because it is refractory to conservative treatment, inflammation had spread from sphenoid sinusitis, resulting in an intracranial abscess, and then antibiotic therapy and surgical drainage contributed to successful outcomes.ConclusionIntracranial abscess should be suspected when MRONJ extends to the adjacent structure, causing sudden headache and loss of consciousness. Early surgical intervention should be considered to reduce the risk of necrosis progressing.
Mechanical properties and microstructure of hemp hurd reinforced polylactide biocomposites for 3D printing
Authors: Xiao Xianglian , Chevali Venkata S. , Song Pingan , Yu Bin , Feng Jiabing , Loh Thomas W. , Wang Hao 
Published: August 2024

AbstractPolylactide (PLA) biocomposite filaments containing hemp hurd (HH) of variable particle size were evaluated in comparison with injection‐molded counterparts using single/twin screw extrusion in this study. HH particle size (35, 50, and 160 μm) was parametrically investigated for its efficacy within PLA/HH biocomposites and fused filament fabrication (FFF)‐printed parts by assessing its effect on performance through rheological, microstructural, mechanical, and surface finish analyses. In addition, melt flow indexing, rheometry, scanning electron microscopy, mechanical testing, and x‐ray computed tomography were utilized to analyze microstructure, mechanical performance, and surface roughness. With an increase in particle size of the HH, the corresponding biocomposites showed increased flowability, and the injection‐molded specimens showed increased impact strength. The FFF printing of the biocomposite filament presented no challenges, and the mechanical properties of FFF parts enhanced with a particle size smaller than the printed layer thickness. Compared with injection‐molded parts, FFF‐printed samples showed higher impact strength. The FFF‐printed PLA/HH biocomposite samples showed considerable potential over their injection molded alternatives for low‐volume specialized applications.Highlights
Polylactide (PLA)/hemp hurd (HH) biocomposite filaments with different particle sizes of HH were developed.
Melt flow and impact strength increased when HH particle size increased.
3D‐printed part porosity and roughness increased when HH particle size increased.
Higher HH particle size enhanced the mechanical performance of 3D‐printed parts.
3D‐printed parts exhibited higher impact strength than injection molded parts