bluuebunny/crossref_metadata_2025_split huggingface dataset:
Differences in regions of interest to identify deeply invasive colorectal cancers: Computer-aided diagnosis vs expert endoscopists
Authors: Nakajima Yuki , Nemoto Daiki , Guo Zhe , Boyuan Peng , Ruiyao Zhang , Katsuki Shinichi , Takezawa Takahito , Maemoto Ryo , Kawasaki Keisuke , Inoue Ken , Akutagawa Takashi , Tanaka Hirohito , Sato Koichiro , Omori Teppei , Hayashi Yoshikazu , Miyakura Yasuyuki , Matsumoto Takayuki , Yoshida Naohisa , Esaki Motohiro , Uraoka Toshio , Kato Hiroyuki , Inoue Yuji , Yamamoto Hironori , Zhu Xin , Togashi Kazutomo 
Published: September 2024

Abstract
Background and study aims Diagnostic performance of a computer-aided diagnosis (CAD) system for deep submucosally invasive (T1b) colorectal cancer was excellent, but the “regions of interest” (ROI) within images are not obvious. Class activation mapping (CAM) enables identification of the ROI that CAD utilizes for diagnosis. The purpose of this study was a quantitative investigation of the difference between CAD and endoscopists.
Patients and methods Endoscopic images collected for validation of a previous study were used, including histologically proven T1b colorectal cancers (n = 82; morphology: flat 36, polypoid 46; median maximum diameter 20 mm, interquartile range 15–25 mm; histological subtype: papillary 5, well 51, moderate 24, poor 2; location: proximal colon 26, distal colon 27, rectum 29). Application of CAM was limited to one white light endoscopic image (per lesion) to demonstrate findings of T1b cancers. The CAM images were generated from the weights of the previously fine-tuned ResNet50. Two expert endoscopists depicted the ROI in identical images. Concordance of the ROI was rated by intersection over union (IoU) analysis.
Results Pixel counts of ROIs were significantly lower using 165K[x103] [108K-227K] than by endoscopists (300K [208K-440K]; P < 0.0001) and median [interquartile] of the IoU was 0.198 [0.024-0.349]. IoU was significantly higher in correctly identified lesions (n = 54, 0.213 [0.116-0.364]) than incorrect ones (n=28, 0.070 [0.000-0.2750, P= 0.033).
Concusions IoU was larger in correctly diagnosed T1b colorectal cancers. Optimal annotation of the ROI may be the key to improving diagnostic sensitivity of CAD for T1b colorectal cancers.
Synthesis of 3-Substituted Chromones through Photoactivation of Acceptor–Acceptor Diazo Compounds
Authors: Rastogi Namrata , Kumar Prashant , Kumar Asit , Kant Ruchir , Shukla Sanjeev K. 
Published: September 2024

AbstractWe report the photocatalytic alkylation of o-hydroxyarylenaminones with acceptor–acceptor diazo compounds to access 3-alkyl chromones. The reaction involves triplet sensitization of the diazo substrate via energy transfer from the photosensitizer. The notable features of the protocol are operational simplicity, wide substrate scope, and generally high yields of the products.
Piezoelectrically driven Fano resonance in silicon photonics
Authors: Ansari I. , Feutmba G. F. , George J. P. , Rijckaert H. , Beeckman J. , Van Thourhout D. 
Published: September 2024

Piezoelectric optomechanical platforms provide a promising avenue for efficient signal transduction between microwave and optical domains. Lead zirconate titanate (PZT) thin film stands out as a compelling choice for building such a platform given its high piezoelectricity and optical transparency, enabling strong electro-optomechanical transduction. This work explores the application of such transduction to induce Fano resonance in a silicon photonics integrated circuit (PIC). Our methodology involves integrating a PZT thin film onto a silicon PIC and subsequently removing the SiO2 layer to suspend the silicon waveguide, allowing controlled mechanical vibrations. Fano resonances, characterized by their distinctive asymmetric line shape, were observed at frequencies up to 6.7 GHz with an extinction ratio of 21 dB. A high extinction ratio of 41 dB was achieved at the lower resonance frequency of 223 MHz. Our results demonstrate the potential of piezoelectric thin film integration for the generation of Fano resonances on passive photonic platforms such as Si, paving the way for highly sensitive, compact, and power-efficient devices relevant to a wide range of applications.
Large Tunneling Magnetoresistance and Perfect Spin Filtering Effect in van der Waals Cu/FeX2/h-BN/FeX2/Cu (X=Cl, Br, I) Magnetic Tunnel Junctions
Authors: Dong 董 Xinlong 新龙 , Shi 师 Xiaowen 小文 , Qiao 乔 Dan 丹 , Li 李 Zeyu 泽宇 , Bai 白 Yuhao 宇浩 , Qiao 乔 Zhenhua 振华 , Xu 许 Xiaohong 小红 
Published: September 2024

Abstract
The two-dimensional magnetic van der Waals heterojunctions have opened unprecedented opportunities to explore new physics due to their potential for spintronic applications. Here, combing density functional theory with non-equilibrium Green’s function technique, we systematically investigate the spin-polarized transport properties of Cu/FeX2/h-BN/FeX2/Cu (X = Cl, Br, I) magnetic tunnel junctions (MTJs). It is found that the maximum tunneling magnetoresistance of Cu/FeCl2/h-BN/FeCl2/Cu, Cu/FeBr2/h-BN/FeBr2/Cu, and Cu/FeI2/h-BN/FeI2/Cu MTJs can reach 3443%, 3069%, and 1676%, respectively. In the parallel state, the resistance area products at zero bias for Cu/FeCl2/h-BN/FeCl2/Cu, Cu/FeBr2/h-BN/FeBr2/Cu, and Cu/FeI2/h-BN/FeI2/Cu MTJs are 0.92, 0.47, and 0.32 Ω⋅μm2, respectively. More interestingly, our results indicate that Cu/FeX2/h-BN/FeX2/Cu (X = Cl, Br, I) MTJs can realize spin filtering effect, while Cu/FeCl2/h-BN/FeCl2/Cu and Cu/FeI2/h-BN/FeI2/Cu MTJs exhibit negative differential resistance. Our results demonstrate that large tunneling magnetoresistance, negative differential resistance effect, low resistance area product as well as excellent spin filtering effect coexist in Cu/FeCl2/h-BN/FeCl2/Cu and Cu/FeI2/h-BN/FeI2/Cu MTJs, and that the feasible tunability of such a kind of van der Waals magnetic tunnel junctions is beneficial to designing next-generation logic devices.
Camera calibration method based on ellipse eccentricity compensation
Authors: Zhao Chengli , Zhao Zhangyan , Liu Yang 
Published: September 2024

Abstract
In the field of visual measurement, camera calibration is the first step and an important step in determining the accuracy of the measurement. Achieving rapid and accurate camera calibration has been a significant focus of research among scholars. Therefore, a high-precision camera calibration framework based on ellipse eccentricity compensation is proposed. In the first step, the Canny algorithm is used to detect ellipse edges. In the second step, a high-precision fitting of the ellipse is accomplished by a weighted fitting method. In the third step, the initial calibration parameters are calculated by using the coordinates of the elliptical center. Subsequently, the eccentricity deviation of the ellipse is compensated based on the initial calibration parameters. The updated coordinates are then used to recalculate the calibration parameters. This iterative process is repeated using an improved swarm intelligence optimization algorithm until the error is below the threshold or the number of iterations is reached. Simulations and experiments are used to verify the proposed method. The results show that the proposed method has high accuracy and stability, and can be widely used in engineering.
Understanding error rejection of differential impedance spectroscopy for the in situ characterization of highly conductive fluids
Authors: Doppelhammer Nikolaus , Voglhuber-Brunnmaier Thomas , Vandenabeele Dries , Jakoby Bernhard , Breynaert Eric 
Published: September 2024

Abstract
Differential impedance spectroscopy (DIS) can offer distinct advantages over conventional impedance spectroscopy (IS), particularly for the in situ characterization of highly conductive, corrosive fluids. To enhance the understanding of DIS and determine the conditions under which this method is preferable over conventional IS with fixed electrode positions, error calculations were performed. Two scenarios were analyzed, one accounting solely for random instrument errors and the other including random errors as well as systematic errors from a serial offset impedance. Our analyses reveal that while permittivity measurements of highly conductive media remain challenging regardless of whether a conventional or differential impedance approach is used, DIS enables highly accurate conductivity measurements across a wide frequency and conductivity range. Studying different cell dimensions with equal cell constants revealed that despite the increased influence of systematic errors at small scales, conductivity can still be accurately measured, underscoring the applicability of DIS for microfluidic applications. Other potential parasitic effects, such as those arising from the electromagnetic skin effect, stray capacitances, electrode size, and temperature gradients, are discussed, providing a comprehensive framework for sample characterization with DIS.
Template-based synergy extrapolation analysis for prediction of muscle excitations
Authors: Li Kaitai , Wang Daming , Chen Zuobing , Guo Dazhi , Pan Shuyi , Liu Hui , Zhou Congcong , Ye Xuesong 
Published: September 2024

Abstract

Objective. Accurate prediction of unmeasured muscle excitations can reduce the required wearable surface electromyography (sEMG) sensors, which is a critical factor in the study of physiological measurement. Synergy extrapolation uses synergy excitations as building blocks to reconstruct muscle excitations. However, the practical application of synergy extrapolation is still limited as the extrapolation process utilizes unmeasured muscle excitations it seeks to reconstruct. This paper aims to propose and derive methods to provide an avenue for the practical application of synergy extrapolation with non-negative matrix factorization (NMF) methods. Approach. Specifically, a tunable Gaussian–Laplacian mixture distribution NMF (GLD-NMF) method and related multiplicative update rules are derived to yield appropriate synergy excitations for extrapolation. Furthermore, a template-based extrapolation structure (TBES) is proposed to extrapolate unmeasured muscle excitations based on synergy weighting matrix templates totally extracted from measured sEMG datasets, improving the extrapolation performance. Moreover, we applied the proposed GLD-NMF method and TBES to selected muscle excitations acquired from a series of single-leg stance tests, walking tests and upper limb reaching tests. Main results. Experimental results show that the proposed GLD-NMF and TBES could extrapolate unmeasured muscle excitations accurately. Moreover, introducing synergy weighting matrix templates could decrease the number of sEMG sensors in a series of experiments. In addition, verification results demonstrate the feasibility of applying synergy extrapolation with NMF methods. Significance. With the TBES method, synergy extrapolation could play a significant role in reducing data dimensions of sEMG sensors, which will improve the portability of sEMG sensors-based systems and promotes applications of sEMG signals in human–machine interfaces scenarios.
The impact of controlled breathing on autonomic nervous system modulation: analysis using phase-rectified signal averaging, entropy and heart rate variability
Authors: Uryga Agnieszka , Najda Mikołaj , Berent Ignacy , Mataczyński Cyprian , Urbański Piotr , Kasprowicz Magdalena , Buchner Teodor 
Published: September 2024

Abstract

Objective. The present study investigated how breathing stimuli affect both non-linear and linear metrics of the autonomic nervous system (ANS). Approach. The analysed dataset consisted of 70 young, healthy volunteers, in whom arterial blood pressure (ABP) was measured noninvasively during 5 min sessions of controlled breathing at three different frequencies: 6, 10 and 15 breaths min−1. CO2 concentration and respiratory rate were continuously monitored throughout the controlled breathing sessions. The ANS was characterized using non-linear methods, including phase-rectified signal averaging (PRSA) for estimating heart acceleration and deceleration capacity (AC, DC), multiscale entropy, approximate entropy, sample entropy, and fuzzy entropy, as well as time and frequency-domain measures (low frequency, LF; high-frequency, HF; total power, TP) of heart rate variability (HRV). Main results. Higher breathing rates resulted in a significant decrease in end-tidal CO2 concentration (p < 0.001), accompanied by increases in both ABP (p < 0.001) and heart rate (HR, p < 0.001). A strong, linear decline in AC and DC (p < 0.001 for both) was observed with increasing breathing rate. All entropy metrics increased with breathing frequency (p < 0.001). In the time-domain, HRV metrics significantly decreased with breathing frequency (p < 0.01 for all). In the frequency-domain, HRV LF and HRV HF decreased (p = 0.038 and p = 0.040, respectively), although these changes were modest. There was no significant change in HRV TP with breathing frequencies. Significance. Alterations in CO2 levels, a potent chemoreceptor trigger, and changes in HR most likely modulate ANS metrics. Non-linear PRSA and entropy appear to be more sensitive to breathing stimuli compared to frequency-dependent HRV metrics. Further research involving a larger cohort of healthy subjects is needed to validate our observations.
Fiber coupling of partially coherent Laguerre Gaussian vortex beam in a Cassegrain antenna system
Authors: Qiao Jiawei , Shen Jiajia , Jiang Ping , Caiyang Weinan , Yang Huajun 
Published: September 2024

Abstract
In consideration of the importance of the partially coherent beam (PCB) in optical communication, the coupling of partially coherent Laguerre Gaussian vortex beam (PCLGVB) with single-mode fiber after passing through a Cassegrain transmitting antenna is researched. Meanwhile, the effect of atmospheric turbulence and the assembly misalignments is also considered. In the paper, the transmission of a PCLGVB through a Cassegrain transmitting antenna is mathematically modeled and the coupling efficiency is numerically calculated. And as the propagation distance increases, the coupling efficiency shows an upward trend. In the meanwhile, the PCB is more resistant to the disruptions introduced by atmospheric turbulence and misalignments. And for the coupling between PCLGVB and the single-mode fiber, as the lateral offset or tilt angle increases, the coupling efficiency remains stable in some intervals, or even appears to grow anomalously, which may provide a new idea for enhancing the coupling efficiency. Compared to the case of perfect alignment, the lateral offset of 0 with a tilt angle of 6.5° has a higher coupling efficiency of 21.35%.
“Glass-quake” in elastically loaded bulk metallic glasses
Authors: Huang 黄 Qi 琦 , Chen 陈 Kaiguo 开果 , Liu 刘 Chen 辰 , Liu 刘 Guisen 桂森 , Shao 邵 Yang 洋 , Zhao 赵 Chenlong 晨龙 , Chen 陈 Ran 然 , Bu 卜 Hengtong 亨通 , Kong 孔 Lingti 令体 , Shen 沈 Yao 耀 
Published: September 2024

Abstract
Amorphous solids exhibit scale-free avalanches, even under small external loading, and thus can work as suitable systems to study critical behavior and universality classes. The abundance of scale-free avalanches in the entire elastic tension regime of bulk metallic glass (BMG) samples has been experimentally observed using acoustic emission (AE) measurements. In this work, we compare the statistics of avalanches with those of earthquakes, and find that they both follow the Gutenberg–Richter law in the statistics of energies and Omori’s law of aftershock rates, and share the same characteristics in the distribution of recurrence times. These resemblances encourage us to propose the term “glass-quake” to describe avalanches in elastically loaded BMGs. Furthermore, our work echoes the potential universality of critical behavior in disordered physical systems from atomic to planetary scales, and motivates the use of elastic loaded BMGs as valuable laboratory simulators of seismic dynamics.
Non-conventional machining of SiC reinforced Aluminum metal matrix composites: A Review
Authors: Hazra Ritesh , Doloi Biswanath 
Published: September 2024

Abstract
Metal Matrix Composites or MMCs are among the advanced materials in which lightweight metallic matrices are combined with fibres or particles of hard ceramics as reinforcements. Due to their enhanced properties compared to the monolithic metal alloys, these materials are gaining rapid importance in aerospace, automotive, energy, defense & sports industries. Silicon Carbide reinforced Aluminum MMCs are widely used because of its low cost, good hardness & corrosion resistance properties. However, during conventional machining of these materials, the reinforcement phase causes workpiece damage, excessive tool wear and elevated cutting force owing to their high hardness and abrasive nature. To improve machinability conditions of the Al/SiC MMCs, performance of some non-conventional machining processes like Electrical Discharge Machining, Wire Electrical Discharge Machining, Electrochemical Machining, Laser Beam Machining & Abrasive Water Jet Machining were investigated over the last few decades & were found to yield very good results with promising future scopes. This review paper focuses on summarizing the machining performances, challenges encountered and suitable optimization techniques while using non-conventional machining processes for Al/SiC MMCs.
Chip morphology assessment in turning of hardened AISI 52100 steel under ZnO nanofluid environment
Authors: Abdur Rahman K M , Sethy Priyaranjan , Khatai Saswat , Kumar Ramanuj , Panda Amlana , Ranjan Mishra Rasmi , Kumar Sahoo Ashok 
Published: September 2024

Abstract
The chip morphology in hard turning significantly impacts tool performance influenced by factors like strain softening, machining parameters, workpiece hardness, and tool geometry. In this current study, AISI 52100 steel of hardness (∼ 55 HRC) has been taken into consideration for the hard turning experiment and a detailed chip morphology study was conducted under ZnO nanofluid MQL (Minimum quantity lubrication) condition assisted by dual nozzle set up. The influence of machining parameters such as cutting speed, feed, depth of cut, and MQL flow rate on different chip morphology criteria like chip reduction coefficient, chip curl angle, chip pitch length, chip pattern, and colour has been studied thoroughly in this investigation. From the experimental study, it was observed that CRC is influenced by the depth of cut while chip curl angle and chip pitch length are majorly influenced by feed followed by cutting speed. Helical, wavy, and spiral shape chips followed by saw-tooth formation chips were observed in the entire investigation. However, spiral chips and blue colour chips were noticed at higher feed and higher cutting speed conditions respectively.
Preface for the 12th Nordic Conference on Construction Economics and Organisation
Authors: Torp Olav , Johanne Klungseth Nora , Christoffer Gottlieb Stefan 
Published: September 2024

1. Personal reflections from the editors

Arranging this conference has been an interresting journey. Two years ago, NTNU was given the opportunity to arrange and host the 12th Nordic Conference on Construction Economics and organisation on behalf of the CREON network. Having the opportunity to work with the science committee, the local organising committee, and all other contributors, including authors, co-authors, and reviewers, has been a real pleasure. We would like to thank everyone for the great efforts they have put into making this event successful.
We look forward to future cooperation in the CREON network, contributing to new knowledge on construction economics and organisation in the Nordic region and worldwide. With the development of the construction industry, with more complex projects and increasing focus on sustainability and digitalization, this knowledge is important to solve future challenges in the construction industry.
List of the 12th Nordic Conference on Construction Economics and Organisation, Conference theme and topics in the call for abstracts, Event organisation and Overview of the conference program are available in this Pdf.
Prediction of accident risk in construction projects using data on safety and quality deviations from a Norwegian company
Authors: Hjemgård Kristine 
Published: September 2024

Abstract
This study explores the potential of machine learning to predict the risk of accidents in construction projects. Data has been gathered from a Norwegian construction company over a period of nearly seven years, consisting of 156 projects. 46 features are constructed, primarily focusing on observations and incidents on health, safety, and environment, as well as quality deviations. Using mutual information, 20 important features are identified. These are later used to train six classification models, which are evaluated using 10-fold cross-validation. The target feature of the classification problem is the level of risk, which describes the probability of accidents for a project: low risk, risk of less severe accidents, risk of serious accidents, and risk of critical accidents. The model performances are poor compared to previous studies. This is likely a result of the amount of projects and the total number of different features used to train the models. Based on the limited data that is utilized, the results still indicate that there is a potential in some of the data, especially observations and incidents. It is suggested that incorporating project worker-related data and more project information could enhance the accuracy of predictions.
Residential Adaptive Reuse in Post-pandemic Times
Authors: Kyrö Riikka , Janson Ulla , Blixt Anna-Maria , Fredriksson Peter 
Published: September 2024

Abstract
In the aftermath of the Covid-19 pandemic, the accelerated shift to remote and hybrid work modes has left many office buildings vacant. Meanwhile, many cities struggle with providing housing. Adaptive reuse (AR) is the process of giving an existing building a new life, typically through an extensive renovation and refurbishment. Residential adaptative reuse specifically refers to adapting for housing purposes. The aim of this study is to shed light on opportunities and enablers for AR, specifically from the perspectives of owner/developers and contractors. A multiple case study method, utilizing a desktop approach with secondary data sources, is employed to reveal key lessons learned from real-life residential AR cases from the Nordics. We include 6 cases of residential AR, of which four are from Sweden, and two from Finland. We find that prime location and structural integrity are prerequisites for AR. Daylight, accessibility, and indoor comfort were noted to be common challenges, which were overcome by experience from previous adaptation projects, as well as good collaboration within the project team and authorities. The cultural heritage status of a building appears to both make the building more suitable for adaptation and create a challenge with risks associated with the construction works. Working within existing urban structure was noted to be a challenge for construction site logistics, as well as a nuisance to neighbors, making the support from neighbors crucial. Yet, perhaps the most striking similarity between the cases was that the adaptative reuse projects were linked to either vertical extension, or horizontally extending the project as a form of urban infill development. The findings provide a useful checklist to real estate owners, developers, and contractors considering adaptation to residential use, or bidding for AR projects. An interesting challenge warranting further research is the valuation of commercial properties with expected rental income, despite high vacancy.