bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of shot peening on the contact fatigue performance of C40 steel gears after laser surface melting
Authors: Lv You , Cui Bo , Sun Zhaolong , Xiao Xinlei 
Published: April 2024

Abstract
In this paper, shot peening (SP) was employed as a post-processing technique for the laser surface melted (LSMed) gear. The aim was to improve the contact fatigue performance of laser surface melting+shot peened (LSMSPed) gears. The microstructure, surface roughness, residual stress, microhardness of C40 steel gears before and after SP treatment were characterized using scanning electron microscopy, x-ray diffraction stress analyzer, contour measuring instrument, and hardness tester. Fatigue test of gear was carried out with a Forschungsstelle für Zahnräder und Getriebebau (FZG) testing machine. Following the laser surface melting (LSM) treatment, a molten layer was observed on the gear teeth surface. The experimental results indicated that SP induced a hardened layer with a certain thickness and plastic deformation on the surface of LSMed gears. Importantly, as the SP parameters increased, there’s a corresponding reduction in both the average grain diameter and the maximum grain diameter. The reduction was most pronounced when the shot diameter reached its maximum value. It’s worth noting that once the optimal threshold for SP parameters is surpassed, the residual compressive stress and microhardness on the LSMSPed gear surface do not exhibit a continuous growth trend. Furthermore, the rise in SP parameters resulted in a gradual increase in the surface roughness of LSMSPed gears, albeit to varying degrees. In light of the combined effects of grain refinement, residual compressive stress, microhardness, and surface roughness, the contact fatigue performance of LSMSPed gears improved with increasing SP parameters. Notably, when comparing the contact fatigue life of LSMed gears with that of LSMSPed gears, we observed a substantial enhancement. However, it’s essential to highlight that when the shot diameter reaches its maximum value, the contact fatigue life of the LSMSPed gear, somewhat unexpectedly, decreased. It emphasized to a certain extent the influence of surface roughness on the contact fatigue performance of LSMSP gears.
Photoresponse in sequentially stacked antimony selenide thin films
Authors: Anandan Rohini , Malar Piraviperumal 
Published: April 2024

Abstract
Antimony selenide (Sb2Se3), a binary semiconducting compound has widespread research attention due to its excellent optoelectronic properties in the visible region and usefulness in applications such as solar cells, photosensors and photoelectrodes. The presented study explores the thickness dependent photoresponse in Sb2Se3 thin films, prepared by reactive selenization of antimony films having thickness values of ∼938 nm and ∼1879 nm when stacked second time. Growth orientation along [001] direction was achieved through carefully optimized selenization conditions to enable favourable charge transport in anisotropic Sb2Se3. Predominant Sb2Se3 formation was inferred from x-ray diffraction, Raman spectroscopy, secondary electron microscopy and energy-dispersive X-ray analyses. High optical absorption coefficient values of about 1 × 105 cm−1 and 5.7 × 104 cm−1 were observed for ∼938 nm and ∼1879 nm thick Sb2Se3 thin films. Further, the optoelectronic properties were elucidated through current–voltage and transient photoresponse measurements under dark and illumination conditions. The measurements were done under zero and different bias voltages. Sb2Se3 films having∼ 938 nm thickness exhibited self-driven photoresponse with a responsivity of 4.3×10−8 A W−1 and detectivity of 3.5 × 106 jones respectively, under AM 1.5 G illumination conditions.
The influence of hygrothermal aging on the hoop tensile strength of glass fiber wound polymer composites fabricated via filament winding technique
Authors: Biradar Srikumar , Hiremath Shivashankar , H M Vishwanatha , Joladarashi Sharnappa , Kulkarni S M 
Published: April 2024

Abstract
The study investigates the impact of moisture environment treatment, on the hoop tensile strength (HTS) of glass fiber-reinforced polymer (GFRP) composites, through hygrothermal aging. GFRP cylinders were fabricated with varied parameters—volume fraction, winding angle, and stacking sequences using a filament winding machine. The fabricated samples are subjected to hygrothermal aging using seawater and tap water with oil at 80 °C for 1080 h (45 days). The HTS tests were performed on unaged and aged samples. There was a reduction in HTS for aged samples which is attributed to heat, seawater contamination, and oil. The highest and lowest HTS values recorded are 402.9 MPa and 118.3 MPa for unaged and tap water with oil-aged samples respectively. HTS in aged samples is compared with unaged samples. The study opens up avenues in identifying the best-suitable combination for retaining HTS under various aging conditions.
Co-doping strategies for advanced solid state electrolytes with lithium salt: a study on the structural and electrochemical properties of LATP
Authors: Shahid Hassaan Bin , Nasir Khadija , Ahmad Haseeb , Ali Ghulam , Bashir Shahid , Quazi M M 
Published: April 2024

Abstract
The commercialization of lithium-ion batteries has revolutionized the field of energy storage, yet their usage of organic electrolytes has led to significant safety concerns. Solid-state electrolytes have emerged as a promising solution to these issues, enabling the development of high-performance solid-state lithium batteries. The NASICON-type solid electrolyte Li1.3Al0.3Ti1.7P3O12 (LATP) has demonstrated excellent properties and significant potential. This study involves the solid-state synthesis of LATP electrolytes doped with Cobalt and Silicon. Furthermore, adding 8% LiBr into LATP-0.04 significantly enhanced ionic conductivity, reaching a value of 3.50 × 10−4 S cm−1. This can be linked to lithium salt filling vacant spaces between grains, resulting in a significant drop in grain boundary resistances. The electrochemical analysis through Linear Sweep Voltammetry (LSV) indicates that the investigated material demonstrates the capability to sustain stability and functionality even under the influence of elevated voltages, notably up to 5.45 V. These findings imply that optimal cobalt doping and Lithium salt contribute to superior ionic conductivity compared to pristine LATP.
Quantum Fourier networks for solving parametric PDEs
Authors: Jain Nishant , Landman Jonas , Mathur Natansh , Kerenidis Iordanis 
Published: April 2024

Abstract
Many real-world problems, like modelling environment dynamics, physical processes, time series etc involve solving partial differential equations (PDEs) parameterised by problem-specific conditions. Recently, a deep learning architecture called Fourier neural operator (FNO) proved to be capable of learning solutions of given PDE families for any initial conditions as input. However, it results in a time complexity linear in the number of evaluations of the PDEs while testing. Given the advancements in quantum hardware and the recent results in quantum machine learning methods, we exploit the running efficiency offered by these and propose quantum algorithms inspired by the classical FNO, which result in time complexity logarithmic in the number of evaluations and are expected to be substantially faster than their classical counterpart. At their core, we use the unary encoding paradigm and orthogonal quantum layers and introduce a new quantum Fourier transform in the unary basis. We propose three different quantum circuits to perform a quantum FNO. The proposals differ in their depth and their similarity to the classical FNO. We also benchmark our proposed algorithms on three PDE families, namely Burgers’ equation, Darcy’s flow equation and the Navier–Stokes equation. The results show that our quantum methods are comparable in performance to the classical FNO. We also perform an analysis on small-scale image classification tasks where our proposed algorithms are at par with the performance of classical convolutional neural networks, proving their applicability to other domains as well.
Phytoremediation potential and vegetation assessment of plant species growing on multi-metals contaminated coal mining site
Authors: Shakeel Tufail , Shah Ghulam Mujtaba , Zeb Bibi Saima , Gul Iram , Bibi Sumera , Hussain Zahid , Irshad Muhammad 
Published: April 2024

Abstract
This study aims to evaluate the plant species potential to accumulate, concentrate and translocate the heavy metals around the coal mining contaminated site with heavy metals at Harnoi, Abbottabad. The phytosociological surveys involve the systematic study of plant communities within the particular area to show their composition, structure and distribution showed that the contaminated coal mining-associated area was poor in vegetation. Among these, 11 plant species with higher important values (IV) are collected with associated soil and analyzed for the total concentrations of Cadmium (Cd), Copper (Cu), Chromium (Cr), Lead (Pb) and Nickel (Ni) using Atomic Spectrophotometer. The phytoremediation indices (BAF, BCF, TF and TI) were used to evaluate the multi-metals hyperaccumulator and stabilizer plant species. Dodonaea viscosa was evaluated as multi-metals (Cd, Cu and Ni) stabilizer. While the Ajuga bracteosa and Sonchus espera, Sisybrium officinale and Platango ovata stabilize Cd and Cr respectively. The other plant species that can stabilize as single heavy metal are Ajuga bracteosa and Sonchus espera (Cd), Sisybrium officinale and Platango ovata (Cr) and Amaranthus spinosus (Ni) respectively. While the multi-metals accumulator plant species are Bidens pilosa (Cu, Pb and Ni), Chenopodium ambrosioides (Cd, Cu and Ni), Amaranthus spinosus (Cd, Cu and Cr), Ajuga bracteosa (Pb and Ni) and Rumex hastatus (Cd and Ni). However, the single heavy metal accumulator plant species are Sonchus espera (Pb), Conyzea Canadensis (Ni), Platango ovata and Malvastrum coromandelianum (Cu) respectively. These plants could find valuable applications in practical phytoremediation for the remediation near mining tailings at Abbottabad. Moreover, the use of local plants is a promising approach not only for in situ accumulation and stabilization of heavy metals but also for tolerance and environmental adaptations in the contaminated area.
Performance enhancement of diesel engine using Karanja oil methyl ester as a fuel blend with diesel by variable injector nozzle hole
Authors: Singh Vishnu , Gupta Santosh Kumar 
Published: April 2024

Abstract
Diesel engines may run on biodiesel, a sustainable fuel that can be made from a variety of feedstocks using various alcohols and catalysts. The type of alcohol has a direct impact on the biodiesel’s fuel qualities. Variations in fuel qualities can lead to variations in diesel engine performance, combustion, and injection characteristics. Using blends of 10%, 20%, 30%, and 40% with Karanja oil and regular diesel fuel separately, experimental tests were conducted to assess the performance and emissions of a direct injection, water-cooled Kirloskar diesel engine at 1500 rpm with variable load. The 3-hole and 5-hole fuel injectors are the subjects of this investigation. Because Karanja methyl esters (KME) have a lower calorific value than diesel, their value increases with the proportion of KME in the mix. For a 20% blend, this means that brake-specific fuel consumption increases. As the amount of KME in the gasoline increases, the brake thermal efficiency falls. At a 20% mix, Brake thermal efficiency is almost identical to diesel fuel. For all blends, CO and HC emissions rise with load and fall with the fraction of KME in the mix. For every combination of KME, the density of smoke rises as the load increases. Smoke density falls as the fraction of mixes containing KME rises. It has been observed that when nozzle holes are increased from three to five, brake thermal efficiency rises with load. When comparing a 5-hole to a 3-hole with load, the Brake-specific fuel consumption (BSFC) will fall. Nozzles have an influence on emissions in that as nozzle holes grow, so do CO, HC, and smoke opacity. According to the findings, a 20% KME blend for a 5-hole fuel injector nozzle is a good substitute for diesel.
Annual research review of perovskite solar cells in 2023
Authors: Zhou Qisen , Liu Xiaoxuan , Liu Zonghao , Zhu Yanqing , Lu Jianfeng , Chen Ziming , Li Canjie , Wang Jing , Xue Qifan , He Feifei , Liang Jia , Li Hongyu , Wang Shenghao , Tai Qidong , Zhang Yiqiang , Liu Jiehua , Zuo Chuantian , Ding Liming , Xiong Zhenghong , Zheng Renhao , Zhang Huimin , Zhao Pengjun , Jin Xi , Wu Pengfei , Zhang Fei , Jiang Yan , Zhou Huanping , Hu Jinsong , Wang Yang , Song Yanlin , Mai Yaohua , Xu Baomin , Liu Shengzhong , Han Liyuan , Chen Wei 
Published: April 2024

Abstract
Perovskite (PVK) solar cells (PSCs) have garnered considerable research interest owing to their cost-effectiveness and high efficiency. A systematic annual review of the research on PSCs is essential for gaining a comprehensive understanding of the current research trends. Herein, systematic analysis of the research papers on PSCs reporting key findings in 2023 was conducted. Based on the results, the papers were categorized into six classifications, including regular n–i–p PSCs, inverted p–i–n PSCs, PVK-based tandem solar cells, PVK solar modules, device stability, and lead toxicity and green solvents. Subsequently, a detailed overview and summary of the annual research advancements within each classification were presented. Overall, this review serves as a valuable resource for guiding future research endeavors in the field of PSCs.
DIMet: an open-source tool for differential analysis of targeted isotope-labeled metabolomics data
Authors: Galvis Johanna , Guyon Joris , Dartigues Benjamin , Hecht Helge , Grüning Björn , Specque Florian , Soueidan Hayssam , Karkar Slim , Daubon Thomas , Nikolski Macha 
Published: April 2024

Abstract

Motivation
Many diseases, such as cancer, are characterized by an alteration of cellular metabolism allowing cells to adapt to changes in the microenvironment. Stable isotope-resolved metabolomics (SIRM) and downstream data analyses are widely used techniques for unraveling cells’ metabolic activity to understand the altered functioning of metabolic pathways in the diseased state. While a number of bioinformatic solutions exist for the differential analysis of SIRM data, there is currently no available resource providing a comprehensive toolbox.

Results
In this work, we present DIMet, a one-stop comprehensive tool for differential analysis of targeted tracer data. DIMet accepts metabolite total abundances, isotopologue contributions, and isotopic mean enrichment, and supports differential comparison (pairwise and multi-group), time-series analyses, and labeling profile comparison. Moreover, it integrates transcriptomics and targeted metabolomics data through network-based metabolograms. We illustrate the use of DIMet in real SIRM datasets obtained from Glioblastoma P3 cell-line samples. DIMet is open-source, and is readily available for routine downstream analysis of isotope-labeled targeted metabolomics data, as it can be used both in the command line interface or as a complete toolkit in the public Galaxy Europe and Workfow4Metabolomics web platforms.

Availability and implementation
DIMet is freely available at https://github.com/cbib/DIMet, and through https://usegalaxy.eu and https://workflow4metabolomics.usegalaxy.fr. All the datasets are available at Zenodo https://zenodo.org/records/10925786.
MRI of cardiac involvement in COVID-19
Authors: Rafiee Moezedin Javad , Friedrich Matthias G 
Published: April 2024

Abstract
The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has led to a diverse pattern of myocardial injuries, including myocarditis, which is linked to adverse outcomes in patients. Research indicates that myocardial injury is associated with higher mortality in hospitalized severe COVID-19 patients (75.8% vs 9.7%). Cardiovascular Magnetic Resonance (CMR) has emerged as a crucial tool in diagnosing both ischaemic and non-ischaemic myocardial injuries, providing detailed insights into the impact of COVID-19 on myocardial tissue and function. This review synthesizes existing studies on the histopathological findings and CMR imaging patterns of myocardial injuries in COVID-19 patients. CMR imaging has revealed a complex pattern of cardiac damage in these patients, including myocardial inflammation, oedema, fibrosis, and ischaemic injury, due to coronary microthrombi. This review also highlights the role of LLC criteria in diagnosis of COVID-related myocarditis and the importance of CMR in detecting cardiac complications of COVID-19 in specific groups, such as children, manifesting multisystem inflammatory syndrome in children (MIS-C) and athletes, as well as myocardial injuries post-COVID-19 infection or following COVID-19 vaccination. By summarizing existing studies on CMR in COVID-19 patients and highlighting ongoing research, this review contributes to a deeper understanding of the cardiac impacts of COVID-19. It emphasizes the effectiveness of CMR in assessing a broad spectrum of myocardial injuries, thereby enhancing the management and prognosis of patients with COVID-19 related cardiac complications.
Morbidity and mortality risks associated with valproate withdrawal in young adults with epilepsy
Authors: Mbizvo Gashirai K , Bucci Tommaso , Lip Gregory Y H , Marson Anthony G 
Published: April 2024

Abstract
Valproate is the most effective treatment for idiopathic generalized epilepsy. Current guidance precludes its use in females of childbearing potential, unless other treatments are ineffective or not tolerated, because of high teratogenicity. This risk was recently extended to males. New guidance will limit use both in males and females aged &lt;55 years, resulting in withdrawal of valproate from males already taking it, as occurs for females. Whether there are risks of personal harm (including injury or death) associated with valproate withdrawal has not yet been quantified for males or females ON valproate, meaning clinicians cannot reliably counsel either sex when discussing valproate withdrawal with them, despite that this concern may be at the forefront of patients’ and clinicians’ minds. We assessed whether there are any morbidity or mortality risks associated with valproate withdrawal in young males and females.
We performed a retrospective cohort study of internationally derived electronic health data within the TriNetX Global Collaborative Network. Included were males and females aged 16–54 years with ≥1 epilepsy disease or symptom code between 1 December 2017 and 1 December 2018, and ≥2 valproate prescriptions over the preceding 2 years (1 January 2015–30 November 2017). Five-year propensity-matched risks of mortality and a range of morbidity outcomes were compared between those remaining ON versus withdrawn from valproate during the 1 December 2017–1 December 2018 recruitment period, regardless of whether switched to another antiseizure medication. Survival analysis was undertaken using Cox-proportional hazard models, generating hazard ratios (HRs) with 95% confidence intervals (CIs).
In total, 8991 males and 5243 females taking valproate were recruited. Twenty-eight per cent of males and 36% of females were subsequently withdrawn from valproate. Valproate withdrawal was associated with significantly increased risks of emergency department attendance [HRs overall: 1.236 (CI 1.159–1.319), males: 1.181 (CI 1.083–1.288), females: 1.242 (CI 1.125–1.371)], hospital admission [HRs overall: 1.160 (CI 1.081–1.246), males: 1.132 (CI 1.027–1.249), females: 1.147 (CI 1.033–1.274)], falls [HRs overall: 1.179 (CI 1.041–1.336), males: 1.298 (CI 1.090–1.546)], injuries [HRs overall: 1.095 (CI 1.021–1.174), males: 1.129 (CI 1.029–1.239)], burns [HRs overall: 1.592 (CI 1.084–2.337)] and new-onset depression [HRs overall 1.323 (CI 1.119–1.565), females: 1.359 (CI 1.074–1.720)]. The risk of these outcomes occurring was 1%–7% higher in those withdrawn from valproate than in those remaining ON valproate. Overall, valproate withdrawal was not associated with increased mortality.
These results may help patients and clinicians have a more informed discussion about personal safety when considering valproate withdrawal.
Effect of using borax decahydrate as nanoparticles additive in blends of spirulina biodiesel/diesel on combustion characteristics and knock intensity
Authors: Singh Ajay Partap , Gautam Puneet Singh 
Published: April 2024

Abstract
In this extensive investigation, the impact of borax decahydrate as a fuel additive in a diesel single-cylinder engine was rigorously examined. Borax decahydrate was introduced at concentrations of 5, 15, 25 and 35 g in 500 ml of biodiesel, forming five unique fuel mixtures with conventional diesel: 90% diesel + 10% spirulina biodiesel (SB10), SB10 + 1 g borax decahydrate (SB10B1), SB10 + 3 g borax decahydrate (SB10B3), SB10 + 5 g borax decahydrate (SB10B5) and SB10 + 7 g borax decahydrate (SB10B7). The investigation encompassed four diverse loading conditions and yielded insightful findings. Notably, at full load, SB10B3 exhibited a higher cylinder peak pressure than diesel, reaching 69.25 bar. Heat release rate profiles demonstrated superior efficiency for SB10 at 50% load, with a cumulative heat release rate of 950 J/°CA, which is lower than the 1050 J/°CA of diesel. Knock intensity (KI) evaluations revealed that, although SB10 and SB10B1 exhibited higher KI than diesel at full load due to elevated peak pressure, SB10B7 showed no knocking across all loads, indicative of reduced in-cylinder combustion. This meticulous numerical analysis emphasizes the potential of borax decahydrate as a catalyst and enhancer, providing valuable insights into the combustion dynamics of these alternative fuel blends and their viability for sustainable and efficient engine performance. In summary, out of all the blends, SB10B3 could be a potential diesel fuel replacement fuel for compression-ignition engines.
The Dmc1 recombinase physically interacts with and promotes the meiotic crossover functions of the Mlh1–Mlh3 endonuclease
Authors: Pannafino Gianno , Chen Jun Jie , Mithani Viraj , Payero Lisette , Gioia Michael , Crickard J Brooks , Alani Eric 
Published: April 2024

Abstract
The accurate segregation of homologous chromosomes during the Meiosis I reductional division in most sexually reproducing eukaryotes requires crossing over between homologs. In baker's yeast approximately 80% of meiotic crossovers result from Mlh1–Mlh3 and Exo1 acting to resolve double-Holliday junction intermediates in a biased manner. Little is known about how Mlh1–Mlh3 is recruited to recombination intermediates to perform its role in crossover resolution. We performed a gene dosage screen in baker's yeast to identify novel genetic interactors with Mlh1–Mlh3. Specifically, we looked for genes whose lowered dosage reduced meiotic crossing over using sensitized mlh3 alleles that disrupt the stability of the Mlh1–Mlh3 complex and confer defects in mismatch repair but do not disrupt meiotic crossing over. To our surprise we identified genetic interactions between MLH3 and DMC1, the recombinase responsible for recombination between homologous chromosomes during meiosis. We then showed that Mlh3 physically interacts with Dmc1 in vitro and in vivo. Partial complementation of Mlh3 crossover functions was observed when MLH3 was expressed under the control of the CLB1 promoter (NDT80 regulon), suggesting that Mlh3 function can be provided late in meiotic prophase at some functional cost. A model for how Dmc1 could facilitate Mlh1–Mlh3's role in crossover resolution is presented.