bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and implementation of intelligent control system for non-evaporable getter pumps
Authors: Wang Chao , Yu Yaowei , Sun Hao , Cao Bin , Pan Hao , Fan Bin , Zuo Guizhong , Hu Jiansheng 
Published: August 2024

Abstract
An intelligent control system for Non-Evaporable Getter (NEG) pumps was designed and developed. The main functions of the system include remote monitoring and remote control of key parameters of the NEG power supply, intelligent control of NEG working status according to NEG saturation status and vacuum chamber status, especially intelligent warning and protection of NEG from vacuum leaks and NEG supersaturation. The intelligent control system is proven stable and reliable, which provides a feasible logic architecture and control design for NEG pump application in future fusion devices.
Sound source localization based on data and neural network model
Authors: Xu Junjie , Li Binbin , Zhao Yang , Xue Shijie 
Published: August 2024

Abstract
In this study, the integration of sound source localization with neural network techniques is proposed. Firstly, the development history and basic principle of neural networks are introduced. Combined with the characteristics of sound source location, the residual neural network is analyzed, and the residual neural network is used as the neural network model. The sound signal received by the microphone array is computed by PHAT-SCOT and the output is trained as the input feature of ResNet. Finally, the results of indoor sound source location are obtained in the test set. Experimental findings demonstrate that the neural network-based localization algorithm exhibits robust localization accuracy across diverse environmental conditions.
A lightweight particle detection algorithm based on an improved YOLOv8
Authors: Wang Bowen , Liu Pan , Tian Hui , Ren Hongjun , Cao Yangjie , Li Shijiao , Qi Guochen , Zhu Mingfu , Wei Ronghan 
Published: August 2024

Abstract
A method for lightweight grain detection under transmission electron microscopy is proposed to address the issues of inadequate detection accuracy, slow speed, and high resource consumption, utilizing an improved YOLOv8. The approach involves substituting YOLOv8’s backbone structure with Mobilenetv3small, reducing model complexity while maintaining accuracy. Additionally, GsConv modules are applied to the feature enhancement network to optimize grain recognition and positioning. Experimental results show that the accuracy of the enhanced YOLOv8 reaches 97.4%, with a 66% reduction in parameters and a 70.7% decrease in computational demand, fulfilling the requirements for a lightweight experimental deployment.
A novel diamond-like carbon based photocathode for PICOSEC Micromegas detectors
Authors: Wang X. , Aleksan R. , Angelis Y. , Bortfeldt J. , Brunbauer F. , Brunoldi M. , Chatzianagnostou E. , Datta J. , Dehmelt K. , Fanourakis G. , Fiorina D. , Floethner K.J. , Gallinaro M. , Garcia F. , Giomataris I. , Gnanvo K. , Iguaz F.J. , Janssens D. , Kallitsopoulou A. , Kovacic M. , Kross B. , Legou P. , Lisowska M. , Liu J. , Maniatis I. , McKisson J. , Meng Y. , Muller H. , Oliveri E. , Orlandini G. , Pandey A. , Papaevangelou T. , Pomorski M. , Ropelewski L. , Sampsonidis D. , Scharenberg L. , Schneider T. , Shang L. , Shao M. , Sohl L. , van Stenis M. , Tsipolitis Y. , Tzamarias S.E. , Utrobicic A. , Vai I. , Veenhof R. , Vitulo P. , White S. , Xi W. , Zhang Z. , Zhou Y. 
Published: August 2024

Abstract
The PICOSEC Micromegas (MM) detector is a precise timing
gaseous detector based on a MM detector operating in a two-stage
amplification mode and a Cherenkov radiator. Prototypes equipped
with cesium iodide (CsI) photocathodes have shown promising time
resolutions as precise as 24 picoseconds (ps) for Minimum Ionizing
Particles. However, due to the high hygroscopicity and
susceptibility to ion bombardment of the CsI photocathodes,
alternative photocathode materials are needed to improve the
robustness of PICOSEC MM. Diamond-like Carbon (DLC) film have been
introduced as a novel robust photocathode material, which have shown
promising results. A batch of DLC photocathodes with different
thicknesses were produced and evaluated using ultraviolet light. The
quantum efficiency measurements indicate that the optimized
thickness of the DLC photocathode is approximately
3 nm. Furthermore, DLC photocathodes show good resistance to ion
bombardment in aging test compared to the CsI photocathode. Finally,
a PICOSEC MM prototype equipped with DLC photocathodes was tested in
muon beams. A time resolution of around 42 ps with a detection
efficiency of 97% for 150 GeV/c muons were obtained. These results
indicate the great potential of DLC as a photocathode for the
PICOSEC MM detector.
Performance of a coarsely pixelated LAPPD photosensor for the SoLID gas Cherenkov detectors
Authors: Xie J. , Peng C. , Joosten S. , Meziani Z.-E. , Camsonne A. , Jones M. , Malace S. , Kaczanowicz E. , Rehfuss M. , Sparveris N. , Paolone M. , Foley M. , Minot M. , Popecki M. , Zhao Z.W. 
Published: August 2024

Abstract
The SoLID spectrometer's gas Cherenkov counters require
photosensors that operate in a high luminosity and high background
environment. The reference design features arrays of 9 or 16 tiled
multi-anode photomultipliers (MaPMTs), distributed across 32
sectors, to serve the light-gas and heavy-gas Cherenkov counters,
respectively. To assess the viability of a pixelated INCOM Large
Area Picosecond Photodetector (LAPPDTM) as an alternative
photosensor to replace MaPMT arrays in either detector, we evaluated
its performance under realistic SoLID running conditions in Hall C
at the Thomas Jefferson National Accelerator Facility (Jefferson
Lab). The results of this test confirmed that the coarse-pixelated
(2.5 × 2.5 cm2 pixel size) LAPPD is capable of handling
the total projected signal and background rates of the three pillar
SoLID experiments. The tested photosensor detected Cherenkov signals
with the capability of separating single-electron events from pair
production events while rejecting background. Although the design
was not aimed at ring-imaging Cherenkov detectors, Cherenkov disk
images were captured in two different gas radiators. Through a
direct comparison with a GEANT4 simulation, we confirmed the
experimental performance of the LAPPD.
Quantitative analysis of the high speed and high precision waveform digital system for Jinping Neutrino Experiment
Authors: Yang Haoyan , Xue Tao , Jiang Lin , Pan Qiutong , Liang Bo , Liu Yinong , Li Jianmin 
Published: August 2024

Abstract
The Jinping Neutrino Experiment (JNE) aims to construct a
500-ton liquid scintillator detector for detecting and studying
neutrinos. In JNE data analysis, particle energy and position
reconstruction are crucial, with result accuracy closely related to
the performance of the waveform digitization system. This study
developed a quantitative model to explore correlations between
sampling characteristics (effective number of bits and sampling
rate) and detector system performance (single photoelectron charge
spectrum resolution and transfer time spread). Additionally, three
ADCs (Tsinghua ADC13B1G, ADI AD9695, TI ADS54J60) and MCP-PMTs were
utilized to validate the model accuracy. The experimental results
for the system charge spectrum resolution are in alignment with the
theoretical predictions. When the ENOB of the ADC exceeds 10.66-bit
and the sampling rate exceeds 1 GSPS, the system charge spectrum
resolution is better than 45%, approaching the PMT inherent
resolution of 44%. The transfer time spread within the system
demonstrates minimal impact from the ADC sampling characteristics.
These results serve as a reference for upgrading the JNE 60-channel
and 4000-channel readout electronic systems. Additionally, this
study can assist developers in maximizing the performance of physics
experiment readout electronics systems within constrained budgets.
Lactoferrin/CD133 antibody conjugated nanostructured lipid carriers for dual targeting of blood–brain-barrier and glioblastoma stem cells
Authors: Zhao Changhong , Zhu Xinshu , Yang Huili , Tan Jianmei , Gong Ruohan , Mei Chao , Cai Xiang , Su Zhenhong , Kong Fei 
Published: August 2024

Abstract
The main reasons for the difficulty in curing and high recurrence rate of glioblastoma multiforme (GBM) include: 1. The difficulty of chemotherapy drugs in penetrating the blood–brain barrier (BBB) to target tumor cells; 2. The presence of glioma stem cells (GSCs) leading to chemotherapy resistance. Therefore, breaking through the limitations of the BBB and overcoming the drug resistance caused by GSCs are the main strategies to address this problem. This study presents our results on the development of lactoferrin (Lf)/CD133 antibody conjugated nanostructured lipid carriers (Lf/CD133-NLCS) for simultaneously targeting BBB and GSCs. Temozolomide (TMZ) loaded Lf/CD133-NLCS (Lf/CD133-NLCS-TMZ) exhibited high-efficiency in vitro anti-tumor effects toward malignant glioma cells (U87-MG) and GSCs, while demonstrating no significant toxicity to normal cells at concentrations lower than 200 μg ml−1. The results of the in vitro targeting GBM study revealed a notably higher cellular uptake of Lf/CD133-NLCS-TMZ in U87-MG cells and GSCs in comparison to Lf/CD133 unconjugated counterpart (NLCS-TMZ). In addition, increased BBB permeability were confirmed for Lf/CD133-NLCS-TMZ compared to NLCS-TMZ both in vitro and in vivo. Taking together, Lf/CD133-NLCS-TMZ show great potential for dual targeting of BBB and GSCs, as well as GBM therapy based on this strategy.
Community effects associated with sunflower oil production: systematic review
Authors: Wahyuni A S 
Published: August 2024

Abstract
This systematic review explores the multifaceted landscape of community issues in the context of sunflower oil production. As a crucial component of the agro-industrial sector, sunflower oil production significantly contributes to global edible oil supplies. However, the socio-economic dynamics within communities engaged in this industry are complex and warrant a comprehensive examination. The study synthesises existing literature to identify community issues around sunflower oil production by following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. This study extracted 68 articles from the Scopus database relating the diverse impacts of sunflower oil production on communities. It resulted in 10 articles to analyse, focusing on health and socio-economic dynamics. A review of 10 relevant articles revealed that most of the reviewed studies indicate positive effects in terms of health outcomes. Especially in resource-constrained settings, sunflower oil distribution contributes to improved infant care. However, a notable exception exists in a Mexican case where toxic substances were found in the breast milk of mothers consuming sunflower oil, emphasising the importance of safety regulations in production. On the socio-economic front, limited research exists, with only two articles addressing this aspect. Nevertheless, these studies highlight the potential for job creation and positive environmental outcomes associated with sunflower oil production.
Market position of rapeseed products from the prime producing countries in the global market
Authors: Vieri A Y , Nurrochmat D R , Assen B W , Rosella E , Ekayani M , Purwawangsa H , Satria A 
Published: August 2024

Abstract
Rapeseed is one of the most widely traded products in the world, with a total trade amounting to USD 14.1 billion. Rapeseed trade represents 0.067% of global trade. The largest Rapeseed exporters in 2021 were Canada (USD 5.17 billion), Australia (USD 2.20 billion), Ukraine (USD 1.37 billion), France (USD 1.01 billion), the Netherlands (USD 841 million), and Romania (USD 618 million). Rapeseed is commonly used in food products, health, cosmetics, and other industries. As international market demands and local needs drive rapeseed production, this research aims to identify opportunities for developing the Rapeseed industry and its derivatives based on local needs and global market trends in the world’s largest rapeseed-producing country. This study evaluated the market positioning of Rapeseed products in the international market and employed a “relative market share-market growth” matrix developed by Boston Consulting Group (BCG) for analysis. This study used secondary data from export data for rapeseed-exporting countries worldwide from 2020 to 2021 and was also enriched with some primary data collected from the site visits in 2023. The BCG matrix indicates the five largest rapeseed exporters globally, and additional countries visited in the study include Canada, Germany, the Netherlands, and Romania. The analysis using the BCG matrix assesses the performance of rapeseed products in various major exporting countries worldwide. This study indicates that Canada has significant potential for developing the Rapeseed industry and its derivatives based on global market trends
Simulating jurisdictional approach and scenario for sustainable palm oil using value chain dynamic model
Authors: Kusumadewi S D , Purnomo H , Okarda B , Azzahra M , Iswadi A M , Puspitaloka D , Nadhira S , Irawan P , Liswanti N 
Published: August 2024

Abstract
In Indonesia, the jurisdictional approach is one of a key strategy for enhancing sustainability for agricultural export commodity production such as palm oil. However, the implementation still faces some challenges, including monitoring and accountability. This research aims to develop a value chain dynamic model called JAPOS (Jurisdictional Approach Modelling for Palm Oil Sustainability) that can simulate the impact of scenario and intervention, including policy, on the various indicators of sustainability at the jurisdiction level such as palm oil production, Greenhouse Gases (GHGs) emissions, deforestation, and revenue from palm oil trade. We applied the model to simulate the results of multistakeholder processes at Sintang District, Indonesia, for the Sustainable Palm Oil Regional Action Plan (RAD KSB). The simulation shows that implementing the No Deforestation, No Peat, and No Exploitation (NDPE) policy will significantly impact (89%) the GHGs emissions reduction from the oil palm sector after ten years of implementation. However, it will cause around 24% production loss and an 18% loss in the revenue from the palm oil trade in Sintang District. Our model suggested that if NDPE is implemented along with intensification and premium price incentives, it will still significantly impact GHGs emission reduction and recover palm oil production and economic loss. This study shows the usefulness of the value chain dynamic model for policy scenario development in supporting the implementation of the jurisdictional approach.
Comparing CPO export duty in several periods in specific calculation policy
Authors: Nur’aeni S , Rifin A , Feryanto  
Published: August 2024

Abstract
Crude Palm Oil (CPO) mainly contributes to Indonesia’s export duty receipts. However, high CPO exports have led to a need for more availability in the domestic market, impacting price increases. Therefore, the government implemented the CPO export duty policy several times, restructuring the export duty and currently uses ad nature or specific calculations (absolute value tariffs). This study compares CPO export duty in several periods based on the reference price range and CPO export duty rate. The data used are secondary time series data from July 2015 to December 2023 which were analyzed using qualitative methods through policy document analysis. The analysis results show that as far as the specific export duty calculation is calculated, the government restructures the export duty with changes in the export duty rate and CPO reference price range. The comparison of export duty rates in the three periods shows that export duty rates are in line with the increase in CPO prices in the international market. The highest export duty rate is in period III.
Market competitiveness of sunflower seed and oil products
Authors: Nurrochmat NA , Indrawati I , Adzkia U , Ekayani M 
Published: August 2024

Abstract
Sunflower seed is one of the most widely traded products in the world, with total trade amounting to 20.36 million metric tons of total vegetable oil production in 2023. Sunflower seed is usually used as a material for cooking oil and food products, biofuel, cosmetics, and other derivates. Due to climate change and the fossil fuel energy crisis in Europe, the need for vegetable oil has increased; one is sunflower oil. Therefore, this research aims to identify the global sunflower market from its largest producing countries. This study uses primer data from interviews in some of the largest producer countries: the Netherlands, Romania, and Poland. Secondary data was also obtained from export data for sunflower-exporting countries worldwide from 2020 to 2021. The Boston Consulting Group (BCG) matrix is used for the data analysis to assess the performance of sunflower products in various major exporting countries worldwide. The results of this study show that Romania took the star position with the highest sunflower seed export, around 19.8% of the total economic value of 4.74 billion USD. Ukraine took the cash cow position in sunflower oil, and Turkiye took the cash cow position in the refined sunflower oil market. These positions indicate the dominance of the global market.
The Potential of matoa seeds (Pometia pinnata) as a biodiesel raw material
Authors: Sholiha F U , Yuniastuti E 
Published: August 2024

Abstract
Matoa (Pometia pinnata J.R.Forst. & G.Forst) is an origin species from Papua, widely cultivated around Indonesia. Matoa seeds have gained attention because of their fatty acid content, which can be used as a biodiesel raw material. This study aims to determine the quality of manta seeds as an alternative biodiesel development in Indonesia. Oil extraction used the Soxhlet method and then tested based on the American Society for Testing and Materials (ASTM). The results showed that the yield oil of mature seeds was 22,37%. In contrast, the quality of matoa seed oil was based on colour (ASTM D 1500), kinematic viscosity at 40°C (ASTM D 445), pour point (ASTM D 97), and water content had met the SNI standard in the other side, the specific gravity (ASTM D 1298) and cloud point (ASTM D 97) were below the SNI standard. Based on the results, matoa seeds oil can be used as biodiesel raw material for future sustainable energy but needs further development.
Laser-assisted bioprinting of targeted cartilaginous spheroids for high density bottom-up tissue engineering
Authors: Hall Gabriella Nilsson , Fan Yuchao , Viellerobe Bertrand , Iazzolino Antonio , Dimopoulos Andreas , Poiron Claire , Clapies Aude , Luyten Frank P , Guillemot Fabien , Papantoniou Ioannis 
Published: August 2024

Abstract
Multicellular spheroids such as microtissues and organoids have demonstrated great potential for tissue engineering applications in recent years as these 3D cellular units enable improved cell–cell and cell–matrix interactions. Current bioprinting processes that use multicellular spheroids as building blocks have demonstrated limited control on post printing distribution of cell spheroids or moderate throughput and printing efficiency. In this work, we presented a laser-assisted bioprinting approach able to transfer multicellular spheroids as building blocks for larger tissue structures. Cartilaginous multicellular spheroids formed by human periosteum derived cells (hPDCs) were successfully bioprinted possessing high viability and the capacity to undergo chondrogenic differentiation post printing. Smaller hPDC spheroids with diameters ranging from ∼100 to 150 µm were successfully bioprinted through the use of laser-induced forward transfer method (LIFT) however larger spheroids constituted a challenge. For this reason a novel alternative approach was developed termed as laser induced propulsion of mesoscopic objects (LIPMO) whereby we were able to bioprint spheroids of up to 300 µm. Moreover, we combined the bioprinting process with computer aided image analysis demonstrating the capacity to ‘target and shoot’, through automated selection, multiple large spheroids in a single sequence. By taking advantage of target and shoot system, multilayered constructs containing high density cell spheroids were fabricated.
Anisotropic effects in the nondipole relativistic photoionization of hydrogen
Authors: Vembe J E , Førre M 
Published: August 2024

Abstract
In the nonrelativistic and dipole regime of multiphoton ionization, spherical symmetry in all but the polarization direction of the laser pulse ensures that directional dependency in the photoelectron spectra is limited to the laser polarization direction, with the final distribution exhibiting no asymmetry along the propagation direction of the laser. When relativistic effects and spatial dependency in the external potential are accounted for however, the addition of time dilation and radiation pressure both impose anisotropic effects. Previously we have found that nondipole effects induce a redshift in the photoelectron energy distribution, while conversely relativistic effects induce a blueshift, with the net effect of an apparent near-cancellation of the two. In this work we study these effects further. By examining photoelectron momentum distributions acquired from simulations with the time-dependent Dirac equation we propose explanatory models for both phenomena and present a simplified model of the shifts as a function of the angle relative to the propagation direction of the laser pulse. It is found that both nondipole and relativistic effects must be accounted for on an equal footing in order to correctly describe the photoelectron momentum distribution in the high-intensity regime.
Synthesis and growth of solution-processed chiral perovskites
Authors: Driessen Sander , Sarigul-Ozbek Sevgi , Sutter-Fella Carolin M , Tao Shuxia 
Published: August 2024

Abstract
In materials science, chiral perovskites stand out due to their exceptional optoelectronic properties and the versatility in their structure and composition, positioning them as crucial in the advances of technologies in spintronics and chiroptical systems. This review underlines the critical role of synthesizing and growing these materials, a process integral to leveraging their complex interplay between structural chirality and distinctive optoelectronic properties, including chiral-induced spin selectivity and chiroptical activity. The paper offers a comprehensive summary and discussion of the methods used in the synthesis and growth of chiral perovskites, delving into extensive growth techniques, fundamental mechanisms, and strategic approaches for the engineering of low-dimensional perovskites, alongside the creation of novel chiral ligands. The necessity of developing new synthetic approaches and maintaining precise control during the growth of chiral perovskites is emphasized, aiming to enhance their structural chirality and boost their efficiency in spin and chiroptical selectivity.