bluuebunny/crossref_metadata_2025_split huggingface dataset:
Misalignment monitoring between electrodes and a rivet in a three-sheet resistance element welding-based dynamic resistance
Authors: Kim Mingyu , Jo Sooyoung , Lee Seung Hwan , Yu Jiyoung 
Published: April 2023

Abstract
Recently, resistance element welding (REW), a method for welding dissimilar materials is gaining popularity in the automobile industry. However, in a three-sheet REW process, in which a rivet is inserted into the middle sheet, stable welding quality cannot be guaranteed because the alignment of the rivet and electrodes cannot be visually inspected. In this study, the three-sheet REW of SPFC590 (structural steel), SABC1470 (high-strength steel), and Al6061 (aluminum alloy) was investigated. The welding quality was evaluated at an increasing misalignment, and it was compared to that of a 0-mm misalignment distance. The welding quality was significantly reduced from a 6-mm misalignment distance. The pre-contact process, which is designed for predicting misalignment, was applied prior to the actual REW process. The dynamic resistance waveform in the pre-contact process was significantly different at each misalignment distance condition because of the difference in each alignment with electrodes and workpieces. The features extracted from the dynamic resistance waveforms were applied to a deep neural network (DNN) model to monitor the misalignment between electrodes and a rivet. Because the weld quality (weld nugget diameter) was not satisfactory at distances greater than 6 mm, the threshold value of the misalignment distance was set as 6 mm. A neural network that can predict the state of the misalignment between electrodes and a rivet was designed and trained, and the misalignment was predicted with 100% accuracy from DNN model.
Anti-amnesic, antidepressant, and anxiolytic-like responses of curcumin-loaded nanocapsules in mice: Modulating acetylcholinesterase activity, oxidative parameters, and neuroinflammation biomarkers
Authors: Rodrigues Karline da Costa , Neto Manoel Rodrigues da Silva , Barboza Victor dos Santos , Hass Sandra Elisa , Vaucher Rodrigo de Almeida , Giongo Janice Luehring , Schumacher Ricardo Frederico , Wilhelm Ethel Antunes , Luchese Cristiane 
Published: April 2023

Abstract
This study aimed to investigate the action of two different formulations of curcumin (Cur)-loaded nanocapsules (Nc) (Eudragit [EUD] and poly (ɛ-caprolactone) [PCL]) in an amnesia mice model. We also investigated the formulations’ effects on scopolamine-induced (SCO) depressive- and anxiety-like comorbidities, the cholinergic system, oxidative parameters, and inflammatory markers. Male Swiss mice were randomly divided into five groups (n = 8): group I (control), group II (Cur PCL Nc 10 mg/kg), group III (Cur EUD Nc 10 mg/kg), group IV (free Cur 10 mg/kg), and group V (SCO). Treatments with Nc or Cur (free) were performed daily or on alternate days. After 30 min of treatment, the animals received the SCO and were subjected to behavioral tests 30 min later (Barnes maze, open-field, object recognition, elevated plus maze, tail suspension tests, and step-down inhibitory avoidance tasks). The animals were then euthanized and tissue was removed for biochemical assays. Our results demonstrated that Cur treatment (Nc or free) protected against SCO-induced amnesia and depressive-like behavior. The ex vivo assays revealed lower AChE and CAT activity, reduced TBARS, RS, and NSPH levels, and reduced IL-6 and TNF-\(\) expression. The treatments did not change hepatic markers in the plasma of mice. In conclusion, after treatments on alternate days, Cur Nc had a more significant effect than the free Cur protocol, suggesting a prolonged action of Cur in Nc. In addition, Cur EUD Nc showed a more significant improvement in this model.
Application of nested-qPCR-High resolution melting (HRM) technology on Strongyloides stercoralis isolates from Iran
Authors: Fakhrieh-Kashan Zohre , Fotouhi-Ardakani Reza , Zahabiun Farzaneh , Sharifdini Meysam , Kia Eshrat Beigom 
Published: April 2023

Abstract
Purpose
Strongyloides stercoralis is a parasite with special characteristics presenting it as a unique nematode. Iran is an endemic area for S. stercoralis. In this study, nested-qPCR-High Resolution Melting (HRM) technologies were applied on some human isolates of S. stercoralis from this country by focusing on evolutionary genetics analysis.
Methods
Twelve human isolates of S. stercoralis were collected from four endemic provinces of Iran. Genomic DNA was extracted from a single filariform larva for every isolate. Using specific primers targeting partial regions in cox1 gene, nested-qPCR-HRM was performed and melting-curve profiles were analyzed alongside with evaluation of genetic proximity and phylogenetic analysis using MEGA7 and DnaSP5 software.
Results
Melting temperature (Tm) values of the isolates were 77.9 ˚C - 78.3 ˚C. All isolates from Guilan, Mazandaran, and Khouzestan Provinces shared Tm values of 78.2 ˚C to 78.3 ˚C, while the isolates from Hormozgan Province showed Tm values of77.9 ˚C, 78.0 ˚C, and 78.1 ˚C. The phylogenetic tree illustrated that the sequences of the current study included nine haplotypes. Tajima's D index analyses showed that cox1 gene in S. stercoralis isolates was negative (Tajima's D = − 0.27).
Conclusion
The isolates were divided into five temperature groups. Although compare to PCR sequencing HRM assay identified more limited genetic changes, but it revealed that the mean of Tm of the isolates from Hormozgan Province was lower than those of other provinces, and represented specific haplotypes for this geographical region on the phylogenetic tree.
Pressure-independent thermal expansion and temperature-dependent bulk modulus
Authors: Yan Jinyuan 
Published: April 2023

Abstract
Both pressure-dependent thermal expansion and temperature-dependent bulk modulus are two essential thermal physical coefficients for high pressure temperature research. Negative temperature dependent bulk modulus were reported under the assumption of pressure independent thermal expansion. In this paper, it is proved that any pressure independent thermal pressure yields zero temperature dependent bulk modulus, instead of a negative.
Optimizing the performance of As(III) and As(V) adsorption process on magnetic carbon xerogel nanocomposites from aqueous solution and natural groundwater wells
Authors: Khamkure Sasirot , Cabello-Lugo María-Fernanda , Bustos-Terrones Victoria , Garrido-Hoyos Sofía-Esperanza , Pacheco-Catalán Daniella-Esperanza , Gamero-Melo Prócoro , Reyes-Rosas Audberto 
Published: April 2023

Abstract
This research focuses on generating magnetic adsorbents with less expensive precursors, a simple and cheap method of subcritical drying for xerogel, and easily recovered from the aqueous medium with magnetic properties for reducing impact of pollutants in the environment. The application of the response surface methodology (RSM) in optimization of As(III) and As(V) adsorption process on carbon xerogel nanocomposites (XMCs) from aqueous solution was proposed in this study under the scheme of a central composite design 23 with a central face. XMCs were synthesized from sol-gel polymerization of a resorcinol-formaldehyde composited with magnetite nanoparticles (MNPs) and carbonized at 600°C for 6 h. MNPs were incorporated into the structure of gels corresponding to the XRD, FTIR and SEM/EDX analysis. The varying stoichiometric of resorcinol/water ratios had a significant effect on the resulting texture and surface chemistry properties. The model obtained by RSM was able to acquire the optimal values of the variables (solution pH, dose, and initial concentration) to maximize the removal of As(V) and As(III) of 95±5.98% and 65±10.32%, respectively. The kinetic and equilibrium studies were well described by the pseudo second order and Freundlich isotherm, respectively. Thermodynamic analysis was endothermic and spontaneous in nature. The removal efficiency in groundwater found arsenic at levels lower than the WHO standards.
Engineering electrode interfaces for telecom-band photodetection in MoS2/Au heterostructures via sub-band light absorption
Authors: Kim Ji-Hee , Hong Chengyun , Oh Saejin , Dat Vu Khac , Pak Sangyeon , Cha SeungNam , Ko Kyung-Hun , Choi Gyung-Min , Low Tony , Oh Sang-Hyun 
Published: April 2023

Abstract
Transition metal dichalcogenide (TMD) layered semiconductors possess immense potential in the design of photonic, electronic, optoelectronic, and sensor devices. However, the sub-bandgap light absorption of TMD in the range from near-infrared (NIR) to short-wavelength infrared (SWIR) is insufficient for applications beyond the bandgap limit. Herein, we report that the sub-bandgap photoresponse of MoS2/Au heterostructures can be robustly modulated by the electrode fabrication method employed. We observed up to 60% sub-bandgap absorption in the MoS2/Au heterostructure, which includes the hybridized interface, where the Au layer was applied via sputter deposition. The greatly enhanced absorption of sub-bandgap light is due to the planar cavity formed by MoS2 and Au; as such, the absorption spectrum can be tuned by altering the thickness of the MoS2 layer. Photocurrent in the SWIR wavelength range increases due to increased absorption, which means that broad wavelength detection from visible toward SWIR is possible. We also achieved rapid photoresponse (~ 150 µs) and high responsivity (17 mA W− 1) at an excitation wavelength of 1,550 nm. Our findings demonstrate a facile method for optical property modulation using metal electrode engineering and for realizing SWIR photodetection in wide-bandgap 2D materials.
Sphingomyelin d18:1/14:0 activates TLR4 in metaflammation
Authors: Latz Eicke , Gorki Friederike , Dohnalová Lenka , Thaiss Christoph , Zurkovic Jelena , Christ Anette , Ohto Umeharu , Marzinek Jan , Bond Peter J. , Geißmar Eike , Singha Santu , Hamid Arslan , Yaghmour Mohamed , de Goede Kyra , Rothe Maximilian , Placek Katarzyna , Polzin Amin , Wollnitzke Philipp , Levkau Bodo , Fitzgerald Michael , Rutten Joost , Netea Mihai , Riksen Niels , Thiele Christoph , Pfeiffer Andreas , Düwell Peter , Bossche Jan Van den 
Published: April 2023

Abstract
Chronic low-grade inflammation, also called metaflammation, is associated with prevalent non-communicable diseases, such as atherosclerosis. Anti-inflammatory therapy provides a clinical benefit in patients, but the triggers that incite metaflammation remain largely unknown. To uncover non-genetic inflammatory factors influencing atherosclerosis severity, we performed an unbiased in vivo screen measuring thousands of host- and microbe-derived molecules in a mouse model of atherosclerosis. Machine learning-supported analyses identified, next to known pro- and anti-atherogenic factors, the medium fatty acid-chain sphingomyelin d18:1/14:0 (S14) as highly positively associated with atherogenesis. S14 activated macrophage innate immune signalling, immune-metabolic reprogramming and pro-inflammatory gene transcription. The inflammatory activity of S14 was TLR4- and MD-2-dependent, consistent with biochemical and molecular dynamics simulation analyses showing that S14 promoted the formation of active TLR4/MD-2 dimers. Human interventional and observational trials demonstrated that dietary changes altered concentrations of S14 and that increased circulating S14 was associated with carotid plaque development in obese individuals. Collectively, these findings identify an inducible endogenous ligand for TLR4 that drives metaflammation, providing the rationale for preventative approaches and pharmacological interventions that may curb detrimental inflammation secondary to Western-type lifestyle habits.
DAS coupling noise suppression based on MCA-FK
Authors: XU Yankai , Zhu Hongduo , Cao Siyuan , Chen Siyuan , Li Jiawei , Liu Hongwei 
Published: April 2023

Abstract
In recent years, distributed fiber acoustic sensor (DAS) technology has been applied for highprecision acquisition of vertical seismic profile (VSP) data, which has the advantages of high-density acquisition, low cost, safety and coordination. However, coupling noise with characteristics similar to that of the spring is produced and mixed in the VSP data collected by the distributed optical fiber in the well. The energy of the coupling noise tends to be very strong, resulting in the effective VSP data being covered. In this paper, coupling noise is constructed by analyzing its morphological characteristics. The dictionaries of coupling noise and clean VSP data are constructed respectively using their different characteristics, and the morphological component analysis (MCA) algorithm is proposed to separate them. The alternating direction multiplier method (ADMM) is used to solve the objective function, for which both L1 and L2 norm regularizations are adopted in the MCA algorithm. However, the performance of the algorithm heavily relies on the coefficient selection of the threshold, which can lead to noise residue in the denoised VSP data and effective signal attenuation due to the inappropriate selection of the threshold. Therefore, the frequencywavenumber (FK) transform is further used to extract VSP data from the separated coupling noise. The proposed MCA and FK transform (MCA-FK) algorithm is applied to the field data and has achieved good results.
High-volume evacuation mitigates viral aerosol spread in dental procedures
Authors: Malmgren Rasmus , Välimaa Hanna , Oksanen Lotta , Sanmark Enni , Nikuri Petra , Heikkilä Paavo , Hakala Jani , Ahola Aleksi , Yli-Urpo Simeoni , Palomäki Ville , Asmi Eija , Sofieva Svetlana , Rostedt Antti , Laitinen Sirpa , Romantschuk Martin , Sironen Tarja , Atanasova Nina , Paju Susanna , Lahdentausta Laura 
Published: April 2023

Abstract
Dental healthcare personnel (DHCP) are subjected to microbe-containing aerosols and splatters in their everyday work. Safer work conditions must be developed to ensure the functioning of the healthcare system. This study aimed to evaluate the risks that different dental procedures pose to DHCP, and the efficacy of high-volume evacuation (HVE) in risk mitigation. We studied virus-containing aerosol generation of four common dental instruments by simulating dental procedures. The air-water syringe produced the highest number of aerosols. HVE greatly reduced aerosol concentrations during procedures. The air-water syringe spread infectious virus-containing aerosols throughout the room, while other instruments only did so to close proximity. Additionally, infectious viruses were detected on the face shields of DHCP. Virus genomes were detected throughout the room, indicating that more resilient viruses might remain infectious and spread throughout the room. HVE reduced the spread of both infectious viruses and viral genomes. We recommend meticulous use of HVE, wearing a well-fitting mask and using a face shield in dental procedures. We advise particular caution when operating with the air-water syringe. Due to its lower aerosol production, the high-speed handpiece can be used as a substitute for the air turbine handpiece to reduce the risk of virus transmission.
Flood Damage and Shutdown Times for Industrial Process Facilities: A Vulnerability Assessment Process Framework
Authors: Friedland Carol J. , Orooji Fatemeh , Flynn Mathew L. , Assi Ayat Al , Mostafiz Rubayet Bin 
Published: April 2023

Abstract
Much of the U.S. petrochemical infrastructure is heavily concentrated along the western coast of the Gulf of Mexico within the impact zone of major tropical cyclone events. Flood impacts of recent tropical disturbances have been exacerbated by an overall lack of recognition of the vulnerabilities to process systems from water intrusion, as well as insufficient disaster mitigation planning. Vulnerability assessment methods currently call for the aggregation of qualitative data to survey the susceptibility of industrial systems to floodwater damage. A means to quantify these consequences is less often employed, resulting in a poor translation of the threat of flood hazards to a crucial element of the economy. This paper reviews flood damage assessment for industrial facilities and presents a component-level conceptual methodology to assess the consequences of flood events. To more effectively communicate loss potential from flood events, the proposed methodology utilizes synthetic estimation to calculate repair requirements, shutdown time, and direct cost.
Analyzing the impact of epidermoid and adeno tissue on cancer incidence whit a data mining approach
Authors: ghorbian mohsen 
Published: April 2023

Abstract
Early detection is the only way to effectively control diseases whose treatment can be challenging, expensive, and time-consuming. Identifying the influencing factors in the occurrence of disease can, therefore, reduce the time associated with diagnosis and provide a solid foundation for improving the prognosis and preventing patients' deterioration. Applying data mining techniques as a novel approach to the early detection of disease-causing agents can significantly assist the early detection. In this study, an attempt was made to investigate the effect of epidermoid and adeno tissues on the incidence of cancerous diseases such as bone, bone marrow, lung, and neck cancer by conducting a data mining process on cancer patient data sets. Hence, Implementing two data mining techniques, K-nearest neighbor and decision tree, on the data of patients with these four types of cancer, an attempt was made to evaluate their performance using the three criteria of accuracy, error ratio, and negative prediction value. The implementation of data mining techniques and evaluations of their performance indicates that the decision tree technique performed better with an accuracy of 89.10%, an error ratio of 14.04%, and negative prediction value of 77.71%. Also, based on the findings, contamination of epidermoid and adeno tissues does not affect the early detection of any of the four categories of bone, bone marrow, lung, or neck cancer. In other words, the infection of the two epidermoid and adeno tissues cannot be the cause of the four types of bone, bone marrow, lung, and neck cancer.
Randomized, double-blinded, placebo-controlled pilot study: Efficacy of faecal microbiota transplantation on chronic fatigue syndrome
Authors: Salonen Tapani Erkki , Jokinen Elina , Satokari Reetta , Lahtinen Perttu 
Published: April 2023

Abstract
Background
Chronic fatigue syndrome (CFS) is a disabling illness of unknown aetiology. Disruption of gut microbiota may play a role in several neurological disorders. In this study, the effect of faecal microbiota transplantation (FMT) on fatigue severity and health-related quality of life (HRQOL) in patients with CFS was evaluated
Methods
Randomized, placebo-controlled pilot trial. Patients and researchers were blinded to treatment assignment. 11 patients with CFS (10 female and 1 male, mean age 42.2 years and mean duration of CFS 6.3 years) were randomly assigned to receive either FMT from a universal donor (n = 5) or autologous FMT (n = 6) via colonoscopy. Patients’ HRQOL was assessed by using visual analog scale (VAS) and self-reporting questionnaires Modified Fatigue Impact Scale (MFIS), 15D and EQ-5D-3L. Patients’ HRQOL was evaluated at baseline, and 1 and 6 months after the FMT.
Results
The baseline VAS scores in the FMT and placebo groups were 62.4 and 76.0 (p = 0.29). 1-month scores were 60.0 and 73.7 and 6-months scores 72.8 and 69.5, respectively. Total MFIS scores in the FMT and placebo groups were 59.6 and 61.0 at the baseline (p = 0.80), 53.5 and 62.0 at 1 month and 58.6 and 56.2 at 6 months. Compared to the baseline scores, differences at 1 and 6 months were statistically insignificant both in VAS and in MFIS. The 15D and EQ-5D-3L profiles did not change after the FMT or placebo. FMT-related adverse events were not reported.
Conclusion
FMT was safe but did not relieve symptoms or improve the HRQOL of patients with CFS. Small number of study subjects limits the generalizability of these results
Trial registration
ClinicalTrials.gov Identifier NCT04158427, https://register.clinicaltrials.gov, date of registration 08/08/2019
When Roads Want to Be Dams: Looking to Dam Safety to Regulate Transportation Embankments
Authors: O’Shaughnessy Amanda , Dayioğlu Asli Y. , Davis Allen P. , Aydilek Ahmet 
Published: April 2023

Abstract
The potential for failure processes impacting transportation embankments temporarily impounding water has not been a common consideration in the design and management of these structures. However, changes in water elevations due to land development and climate change has prompted concern about impoundment on seepage rates and overall stability of the constructed embankments. This study was conducted to examine how different aspects of dam safety can be incorporated in transportation embankment management. Evolving issues pertaining to water impoundment were investigated, transportation and dam embankments were compared, current U.S. Mid-Atlantic state policies were summarized, and numerical modeling of seepage and slope stability was conducted to understand how example transportation embankments behave under various water impoundment scenarios. Performance assessment of granular materials commonly used in transportation embankments indicates their ability to withstand piping erosion but poor slope stability during rapid drawdown. Recommendations are provided on prioritizing evaluations of transportation embankments. Results demonstrate the need for infrastructure inventories and hydrologic research on this topic.
DILLo: an Italian lexical database for Speech-Language Pathologists
Authors: Beccaria Federica , Cristiano Angela , Pisciotta Flavio , Usardi Noemi , Borgogni Elisa , Galletti Filippo Prayer , Corsi Giulia , Gregori Lorenzo , Gagliardi Gloria 
Published: April 2023

Abstract
This paper describes a novel lexical resource for treating speech impairments from childhood to senility: DILLo - Database Italiano del Lessico per Logopedisti (i.e., Italian Database for Speech-Language Pathologists). DILLo is a free online web application that allows the extraction of filtered wordlists for flexible rehabilitative purposes. Its major aim is to provide Italian speech-language pathologists (SLPs) with a resource that takes advantage of Information and Communication Technologies for language in a healthcare setting. DILLo was designed based on an integrated approach that envisages fruitful cooperation between clinical and linguistic professionals. The 7690 Italian words in the database have been selected based on phonological, phonotactic, and morphological properties and their frequency of use. These linguistic features are encoded in the tool, which includes the orthographic and phonological transcriptions and the phonotactic structure of each word. Moreover, most of the entries are associated with their respective ARASAAC pictogram, providing an additional and inclusive tool for treating speech impairments. The user-friendly interface is structured to allow for different and adaptable search options. DILLo allows Speech-Language Pathologists (SLPs) to obtain a rich, tailored, and varied selection of suitable linguistic stimuli. It can be used to customize the treatment of many impairments, e.g., Speech Sound Disorders, Childhood Apraxia of Speech, Specific Learning Disabilities, aphasia, dysarthria, dysphonia, and the auditory training that follows cochlear implantations.