bluuebunny/crossref_metadata_2025_split huggingface dataset:
Laser polishing of PBF-LB manufactured stainless steel surfaces
Authors: Karlsson J , Väisänen I , Tourunen E , Piiroinen A , Gopaluni A , Salminen A 
Published: December 2023

Abstract
Laser powder bed fusion (PBF-LB) is additive manufacturing where material is added layer by layer. This technology has revolutionized the manufacturing during last few recent years by enabling more efficient material usage and more functions to each component. However, for many industrial cases, the PBF-LB surfaces need an additional finishing operation like the machining or polishing operation. Laser polishing process was studied to solve the problems of traditional technologies to improve the surface quality and to enable automation of it. In this study parts were manufactured by PBF-LB of austenitic stainless steel (AISI 316L) into shapes of mechanical property testing samples in different orientations and locations in building platform. The surface roughness was measured prior and after polishing. The experiments showed that considerable surface smoothening even up to 85% (Sa from 48 μm to 11 μm) was reached in two treatments.
Effect of post-weld heat treatment on heat affected zone microstructure of additively manufactured Inconel 718
Authors: Lindqvist M , Kivirasi E , Lipiäinen K , Piili H , Salminen A 
Published: December 2023

Abstract
Laser powder bed fusion for metals is a method of producing end use components for industrial use. Powder bed fusion machines are relatively small, and are usually used to create only the critical part of the larger assembly. Therefore, L-PBF manufactured parts must be attached to each other for example by welding. The industrial world needs to be able to join the printed superalloy components to the traditionally manufactured components to reach better corrosion, wear and/or heat resistance in selected parts in an assembly. The problem is that there is limited amount of information about the suitable welding parameter values for these applications. This study examines how the standard heat treatment cycles affect to the quality of the weld, and if the post-heat treatment is reducing undesired phases in the heat affected zone. Test has shown that post heat treatment highlights cuboidal shaped niobium rich carbides throughout the material to the heat affected zone grain boundaries.
Process advantages of laser hybrid welding compared to conventional arc-based welding processes for joining thick steel structures of wind tower
Authors: Brunner-Schwer Christian , Üstündag Ömer , Bakir Nasim , Gumenyuk Andrey , Rethmeier Michael 
Published: December 2023

Abstract
The most common welding processes when joining thick-walled steels in the industry are arc-based welding processes such as GMAW or SAW. For this purpose, the sheets are joined in multi-layer technique, which can lead to productivity losses due to high welding times. The process-specific challenges in welding thick steels using multi-layer technique relate to the high heat input from the process. Therefore, alternative welding processes are being actively sought. A suitable alternative is provided by beam-based welding processes such as the laser hybrid welding processes, which are characterized by deep penetration welds and lower heat input. With implementation of the laser hybrid welding process in the heavy industry, such as the wind tower industry, economic benefits can be reached such as the increase in productivity by reducing the layer number, and the lower consumption of filler material and energy. When comparing SAW welded 25 mm thick steels in five to six layers and single-pass laser hybrid welding, the welding time can be reduced more than 80 % and the costs of filler material, flux and energy can be saved up to 90 %. However, the industrial use of the laser hybrid welding process is still limited to applications, where the material thickness does not exceed 15 mm due to some process-specific challenges such as the sagging, sensitivity to manufacturing tolerances such as gaps and misalignment, limited filler wire mixing, and deteriorated mechanical properties resulting from high cooling rates. To overcome these challenges, a contactless electromagnetic backing based on an externally applied AC magnetic field was used. Eddy currents are induced due to the oscillating magnetic field, and an upward-oriented Lorentz force is generated to counteract the droplets formed due to gravitational forces. It allows to weld up to 30 mm thick structural steels in a single-pass with a 20-kW fiber laser system. Additionally, the gap bridgeability and the misalignment of edges were increased to 2 mm when welding 20 mm thick steels. With the aid of the AC magnetic field, a vortex was formed in the weld root, which had a positive effect on the filler wire mixing. A further significant advantage of the EM backing was the possibility to expand the process parameter window to maintain desired cooling times and mechanical properties, without suffering adverse effects concerning the root quality of the weld.
Effect of heat treatment in dissimilar welds of additively manufactured laser welded 316L-Inconel 718 joints
Authors: Lindqvist M , Kivirasi E , Lipiäinen K , Piili H , Salminen A 
Published: December 2023

Abstract
Laser powder bed fusion for metals is a method of producing end use components for industrial use. Powder bed fusion machines are relatively small and are usually used to create only the critical part of the larger assembly. Therefore, L-PBF manufactured parts must be attached to each other for example by welding. The industrial world needs to be able to join the printed superalloy components to the traditionally manufactured components to reach better corrosion, wear and/or heat resistance. The problem is that there is limited amount of information about the suitable welding parameter values for these applications. This study examines how the standard heat treatment cycles affect to the quality of the weld, and if the post-heat treatment is reducing undesired phases in the heat affected zone. It is also examined how post weld heat treatment for Inconel 718 affects the base material in IN718-316L dissimilar welds. Tests show that post-weld heat treatment has a positive effect on weld hardness on IN718 side. After welding, the hardness drops to 50% of the nominal hardness. When the welds are heat treated according to AMS5662, the hardness values are restored. Tests also show that the heat treatment does not have significant effect on tensile or hardness properties of 316L.
High-speed laser cladding: new developments for wear and corrosion protection
Authors: Tuominen J , Hallaji M , Kiviö J , Vihinen J 
Published: December 2023

Abstract
Fusion-bonded and low-diluted overlay welded coatings are frequently very thick (>1mm), which results in high material consumption (kg/m2) and expenses. High-speed laser cladding is a novel process, which can produce thin fusion-bonded and low-diluted coatings with high coverage rates and low heat input. Coating materials utilized in high-speed cladding have varied from soft Ni-based superalloys to harder martensitic stainless steels and base materials from low alloy steels to austenitic stainless steels. The ultimate objective has been to develop crack-free alternatives to environmentally hazardous hard-chrome plating. In this paper, high-speed laser cladding was used to fabricate relatively thin Ni-based coatings on various cast irons for corrosion protection and Ni-based hard-faced coatings reinforced with chromium (Cr3C2) and tungsten carbides (WC/W2C), for the first time, onto low-alloy structural and quenched & tempered steels for wear applications. Obtained coatings were characterized with X-ray diffraction (XRD), optical (OM), and scanning electron microscopy (SEM). Corrosion performances were explored in long-term salt spray tests. Mechanical and wear properties were tested with Vickers microhardness measurements and three-body dry-sand rubber wheel abrasion tests (RWAT). It was shown that soft low-diluted Ni-based coatings protected the cast iron base materials in salt spray tests. Ni-based hard-faced coatings with hardness up to 1200 HV1 exhibited high wear resistance in low-stress three-body abrasion better than hard-chrome plated coating, which was attributed to the high volume fraction of hard carbide reinforcements.
Fatigue performance of fiber laser fusion cut edges on thick plates
Authors: Lipiäinen Kalle , Ahola Antti , Afkhami Shahriar , Skriko Tuomas 
Published: December 2023

Abstract
Fatigue performance of cut edges is an important factor in structural design, especially when geometrical stress concentration factors (SCFs) are present. High power laser cutting systems have enabled efficient and fast fusion cutting with nitrogen as an assistant gas. The fusion cutting induces recast layer, which features crack-like defects close to cut edge. In this study, plates with thickness 16 ≤ t ≤ 30 mm have been fatigue-tested. A 10 kW fiber laser cutting system was used to cut plates with nitrogen as an assistant gas. High strength steel (HSS) S690 specimens included unnotched coupon specimens and welded T-profile with longitudinal gusset in post-weld treated conditions, where laser cut edge was found critical. Fatigue performance of S690 cut edges were found close to 170 MPa m = 3 when SCFs of welded specimens were included on analysis. Local properties at the cut edge including hardness measurements and scanning electron microscope (SEM) fractography. Fractography obtained local quality use with theory of critical distances -based fatigue strength assessment was demonstrated.
Effects of machining parameters on Ni-Mn-Ga-based alloys for fabrication of multifunctional micro devices using femtosecond pulse width laser
Authors: Kumthekar Aditya , Laitinen Ville , Ullakko Kari 
Published: December 2023

Abstract
Ni-Mn-Ga-based magnetic shape memory (MSM) alloy single crystals are known for their large magnetic-field-induced strain (MFIS). This quality makes them a promising material for use in micro actuators and devices. However, the manufacturing of single-crystal-based Ni-Mn-Ga micro actuators is challenging due to their high brittleness and other material properties – numerous machining techniques that are successfully used for the deep engraving of conventional engineering materials cannot be directly applied to Ni-Mn-Ga-based alloys. Nevertheless, previous studies have shown that a femtosecond pulse width laser (FPWL) can be successfully utilized for the defect-free micromachining various materials. This work studies the effects of different engraving parameters and introduces a novel scanning-based method for the deep micromachining of Ni-Mn-Ga-based MSM alloys with maximum surface quality. Results show that a 4-layer strategy with a 0.01 mm hatch distance provides excellent machining in terms of surface quality and dimensional accuracy. This study can be utilized within design stages to estimate minimum margin based on required machined depth and avoid defects that occur in the sample preparation stage. Additionally, evolution of structures generated by FPWL machining are characterized. The results highlight how FPWL can be considered a highly capable process for the micromachining and surface structuring of Ni-Mn-Ga-based single crystals for manufacturing multifunctional MSM microdevices.
Evaluation of a hybrid protocol using continuous glucose monitoring and point-of-care testing in non–critically ill patients in a community hospital
Authors: Baker Matt , Lauterwasser Sara , Valenti Catherine , Kallenberger Michael , Stolte Haleigh 
Published: December 2023

Abstract

Purpose
Inpatient glycemic management typically involves use of point-of-care (POC) glucose measurements to inform insulin dosing decisions. This study evaluated a hybrid monitoring protocol using real-time continuous glucose monitoring (rtCGM) supplemented with POC testing at a community hospital.

Methods
Adult inpatients receiving POC glucose testing were monitored using rtCGM in a telemetry unit. The hybrid monitoring protocol required a once-daily POC test but otherwise primarily relied on rtCGM values for insulin dosing decisions. Outcomes assessment included surveillance error grid (SEG) and Clarke Error Grid (CEG) analysis results, the mean absolute relative difference (MARD) for available rtCGM-POC value pairs before and after study protocol application, the number of POC tests avoided, and the number of hypoglycemic events involving a blood glucose value of &lt;70 mg/dL identified by rtCGM and POC values.

Results
Data were collected from 30 inpatients (the mean age was 69.4 years, 77% were female, 80% had type 2 diabetes, and 37% were at-home insulin users). With the protocol applied, a total of 202 rtCGM-POC pairs produced a MARD of 12.5%. SEG analysis showed 2 pairs in the “moderate” risk category, with all other pairs in the “none” or “slight” risk categories. CEG analysis showed 99% of paired values to be in the clinically acceptable range. Six hypoglycemic events in 5 patients were resolved without incident. Three hundred three POC tests were avoided, a 60% reduction for the study duration.

Conclusion
Use of a hybrid monitoring protocol of rtCGM and POC testing in a community hospital demonstrated sustained rtCGM accuracy and was found to reduce the frequency of POC testing to manage inpatient glycemia.
THItoGene: a deep learning method for predicting spatial transcriptomics from histological images
Authors: Jia Yuran , Liu Junliang , Chen Li , Zhao Tianyi , Wang Yadong 
Published: December 2023

Abstract
Spatial transcriptomics unveils the complex dynamics of cell regulation and transcriptomes, but it is typically cost-prohibitive. Predicting spatial gene expression from histological images via artificial intelligence offers a more affordable option, yet existing methods fall short in extracting deep-level information from pathological images. In this paper, we present THItoGene, a hybrid neural network that utilizes dynamic convolutional and capsule networks to adaptively sense potential molecular signals in histological images for exploring the relationship between high-resolution pathology image phenotypes and regulation of gene expression. A comprehensive benchmark evaluation using datasets from human breast cancer and cutaneous squamous cell carcinoma has demonstrated the superior performance of THItoGene in spatial gene expression prediction. Moreover, THItoGene has demonstrated its capacity to decipher both the spatial context and enrichment signals within specific tissue regions. THItoGene can be freely accessed at https://github.com/yrjia1015/THItoGene.
RNet: a network strategy to predict RNA binding preferences
Authors: Liu Haoquan , Jian Yiren , Hou Jinxuan , Zeng Chen , Zhao Yunjie 
Published: December 2023

Abstract
Determining the RNA binding preferences remains challenging because of the bottleneck of the binding interactions accompanied by subtle RNA flexibility. Typically, designing RNA inhibitors involves screening thousands of potential candidates for binding. Accurate binding site information can increase the number of successful hits even with few candidates. There are two main issues regarding RNA binding preference: binding site prediction and binding dynamical behavior prediction. Here, we propose one interpretable network-based approach, RNet, to acquire precise binding site and binding dynamical behavior information. RNetsite employs a machine learning-based network decomposition algorithm to predict RNA binding sites by analyzing the local and global network properties. Our research focuses on large RNAs with 3D structures without considering smaller regulatory RNAs, which are too small and dynamic. Our study shows that RNetsite outperforms existing methods, achieving precision values as high as 0.701 on TE18 and 0.788 on RB9 tests. In addition, RNetsite demonstrates remarkable robustness regarding perturbations in RNA structures. We also developed RNetdyn, a distance-based dynamical graph algorithm, to characterize the interface dynamical behavior consequences upon inhibitor binding. The simulation testing of competitive inhibitors indicates that RNetdyn outperforms the traditional method by 30%. The benchmark testing results demonstrate that RNet is highly accurate and robust. Our interpretable network algorithms can assist in predicting RNA binding preferences and accelerating RNA inhibitor design, providing valuable insights to the RNA research community.
Genetic structure of southern populations of Hydrochoerus hydrochaeris (Rodentia: Caviidae)
Authors: González-Barboza Matías , Bou Nadia , Byrne Soledad , Ignacio Túnez Juan , Barbanti Duarte José Mauricio , Cosse Mariana 
Published: December 2023

Abstract
The capybara (Hydrochoerus hydrochaeris) is a large semi-aquatic rodent with a broad distribution across South America. Although it is a relatively common and well-known species, there are few studies on its evolutionary history. Consequently, we decided to investigate the genetic diversity, population structure, and demographic history of capybaras, including new populations from its southern distribution range, by using a 226 bp fragment of the mitochondrial D-loop region. We found 16 haplotypes and populations, with moderate levels of haplotype and nucleotide diversity. In addition, the genetic structure analyses suggested high genetic divergence among populations, mainly among Pampean and Chacoan populations. We also found a consistent phylogeographical pattern with the distribution of main rivers. In agreement with palaeontological data, we propose two colonization pathways towards the south driven by main basins: Paraná–Paraguay and Uruguay–Atlantic.
Prognostic role of discordance between quantitative flow ratio and visual estimation in revascularization guidance
Authors: Terentes-Printzios Dimitrios , Oikonomou Dimitrios , Gkini Konstantia-Paraskevi , Gardikioti Vasiliki , Aznaouridis Konstantinos , Dima Ioanna , Tsioufis Konstantinos , Vlachopoulos Charalambos 
Published: December 2023

Abstract

Aims
Revascularization guided by functional severity has presented improved outcomes compared with visual angiographic guidance. Quantitative flow ratio (QFR) is a reliable angiography-based method for functional assessment. We sought to investigate the prognostic value of discordance between QFR and visual estimation in coronary revascularization guidance.

Methods and results
We performed offline QFR analysis on all-comers undergoing coronary angiography. Vessels with calculated QFR were divided into four groups based on the decision to perform or defer percutaneous coronary intervention (PCI) and on the QFR result, i.e.: Group A (PCI−, QFR &gt; 0.8); Group B (PCI+, QFR ≤ 0.8); Group C (PCI+, QFR &gt; 0.8); Group D (PCI−, QFR ≤ 0.8). Patients with at least one vessel falling within the disagreement groups formed the discordance group, whereas the remaining patients formed the concordance group. The primary endpoint was the composite endpoint of cardiovascular death, myocardial infarction, and ischaemia-driven revascularization. Overall, 546 patients were included in the study. Discordance between QFR and visual estimation was found in 26.2% of patients. After a median follow-up period of 2.5 years, the discordance group had a significantly higher rate of the composite outcome (hazard ratio: 3.34, 95% confidence interval 1.99–5.60, P &lt; 0.001). Both disagreement vessel Groups C and D were associated with increased cardiovascular risk compared with agreement Groups A and B.

Conclusion
Discordance between QFR and visual estimation in revascularization guidance was associated with a worse long-term prognosis. Our results highlight the importance of proper patient selection for intervention and the need to avoid improper stent implantations when not dictated by a comprehensive functional assessment.
Long-term results after the réparation à l'étage ventriculaire procedure for transposition of the great arteries and double-outlet right ventricle with pulmonary stenosis
Authors: Pontailler Margaux , Moiroux-Sahraoui Alexander , Bernheim Ségolène , Gaudin Régis , Houyel Lucile , Bonnet Damien , Vouhé Pascal , Raisky Olivier 
Published: December 2023

Abstract

OBJECTIVES
The purpose of this study is to describe the long-term results of the ‘réparation à l’étage ventriculaire’ (REV) technique for double-outlet right ventricle and transposition of the great arteries (TGA) with pulmonary stenosis (PS).

METHODS
Between 1980 and 2021, 157 patients underwent a REV procedure (median age and weight: 20.8 months and 7.7 kg). The most frequent anatomical presentation was the association between TGA, ventricular septal defect and PS (n = 116, 73.9%).

RESULTS
Sixty-seven patients (42.7%) underwent a Rashkind procedure, and 67 patients (42.7%) a prior surgical palliation (including 62 systemic-to-pulmonary artery shunts). Resection of the conal septum and/or ventricular septal defect enlargement was performed in 109 patients (69.4%). Thirteen patients (8.3%) died, including 4 during the first postoperative month and 2 after heart transplant. Overall survival at 40 years was 89.3%. Thirty-seven patients (23.6%) required 68 reinterventions on the right ventricular outflow tract (RVOT), including 49 reoperations, with a median delay of 9 years after the REV (8 months to 27 years). Twenty patients (12.7%) underwent RVOT valvulation (16 surgical and 4 interventional). Freedom from RVOT reintervention and reoperation at 40 years were 60.3% and 62.6%, respectively. Four patients (2.5%) required reoperation for left ventricular outflow tract obstruction, with a median delay of 4.8 years.

CONCLUSIONS
The REV procedure is a good alternative for TGA and double-outlet right ventricle with PS patients. Only a quarter of the patients required redo surgery on the RVOT. Reoperations for left ventricular outflow tract obstruction are scarce.
Patient decision aids for aortic stenosis and chronic coronary artery disease: a systematic review and meta-analysis
Authors: Harris Emma , Benham Alex , Stephenson John , Conway Dwayne , Chong Aun-Yeong , Curtis Helen , Astin Felicity 
Published: December 2023

Abstract

Aims
Shared decision-making is recommended for patients considering treatment options for severe aortic stenosis (AS) and chronic coronary artery disease (CAD). This review aims to systematically identify and assess patient decision aids (PtDAs) for chronic CAD and AS and evaluate the international evidence on their effectiveness for improving the quality of decision-making.

Methods and results
Five databases (Cochrane, CINAHL, Embase, MEDLINE, and PsycInfo), clinical trial registers, and 30 PtDA repositories/websites were searched from 2006 to March 2023. Screening, data extraction, and quality assessments were completed independently by multiple reviewers. Meta-analyses were conducted using Stata statistical software. Eleven AS and 10 CAD PtDAs were identified; seven were less than 5 years old. Over half of the PtDAs were web based and the remainder paper based. One AS and two CAD PtDAs fully/partially achieved international PtDA quality criteria. Ten studies were included in the review; four reported on the development/evaluation of AS PtDAs and six on CAD PtDAs. Most studies were conducted in the USA with White, well-educated, English-speaking participants. No studies fulfilled all quality criteria for reporting PtDA development and evaluation. Meta-analyses found that PtDAs significantly increased patient knowledge compared with ‘usual care’ (mean difference: 0.620; 95% confidence interval 0.396–0.845, P &lt; 0.001) but did not change decisional conflict.

Conclusion
Patients who use PtDAs when considering treatments for AS or chronic CAD are likely to be better informed than those who do not. Existing PtDAs may not meet the needs of people with low health literacy levels as they are rarely involved in their development.

Registration
PROSPERO: CRD42021264700.