bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Intelligent Analysis Method of Minimum
Authors: Fu Xiaodan , He Liming , Yao Yi , Mao Yachun , Mao Xinqi 
Published: April 2023

Abstract
At present, the traditional method of obtaining the minimum resistance line in mines is still to use the latitude and longitude instrument to draw the corresponding section map where the borehole is located and then use the circle solution method to find out the shortest distance from the borehole axis to the trapezoidal slope. This method is difficult to map in the open pit mine, with low accuracy and low automation level. An intelligent analysis method of minimum resistance line distance based on a 3D point cloud model is proposed. According to the structural characteristics of the open pit mine, the raster data is established by the point cloud data, and the free surface and non-free surface are automatically separated by the standard deviation of the height difference, and then the minimum resistance line is extracted. The engineering application shows that the method provides efficient data support for the 3D mining software to carry out mining design, block delineation, planning and blasting design of open pit mines, and significantly improves the efficiency and management level of mine blasting.
An Improved Method for FRAM Functional Variation Identification and Analysis
Authors: Cong Kun , Jiao Jian , Zhao Tingdi 
Published: April 2023

Abstract
With the increasing importance of socio-technical systems, the analysis method of FRAM has attracted more and more attention due to the nonlinear accident causality and system adaptive characteristics. Aiming at the problem that the identification of functional variations in FRAM analysis method is not systematic enough, this paper proposes a method to systematically and comprehensively identify functional variations from three dimensions of human, machine and environment, and then gives the improved FRAM analysis process. Finally, a case study of the “Herald of Free Enterprise” accident is conducted to verify the applicability, correctness and effectiveness of the proposed method.
Time-space Spectral Method for the 1-D nonlinear Maxwell Equations
Authors: Fu Ying 
Published: April 2023

Abstract
A time-space spectral method is given for the 1-D nonlinear Maxwell equations. And the spectral method of time multi interval is considered, that is, the interval decomposition is used in time spectral approximation. By computing some numerical examples for 1-D nonlinear Maxwell’s equations, the effectiveness of the proposed method is verified.
Effect of QCD Phase Transition on Axion Properties for Two Flavors of NJL Model
Authors: Li Yuan 
Published: April 2023

Abstract
The effect of chiral phase transition on the properties of the axion in the Nambu-Jona-Lasinio two-flavor model was studied at finite temperature. We tend to study and analyze the changes of thermodynamic potential, and note that the changes of temperature, coupling parameters and quark chemical potential have great influence on thermodynamic potential. Then the variations of axion mass, self-coupling and quark condensation are given by numerical calculation.
Research on Defect Detection Method of Substation Equipment Based on Cascade Network
Authors: Li Xuesong , Fan Xinjian , Zhang Dongsheng , Wei Songlei , Wang Xiaoyu , He Wei , Ma Yiji 
Published: April 2023

Abstract
In order to accurately identify and locate the typical visual defects of substation equipment, a defect detection model of power equipment based on cascaded network structure is proposed. Firstly, aiming at the weak representation ability of small target defects in the original image, a super-resolution representation method based on generative confrontation network and double attention mechanism is proposed. Secondly, the content loss function and anti-loss function are used to optimize the generated network, and the discriminant network is used to guide the calculation of the representation process. Finally, the optimal super-resolution representation generation network and YOLOv5s network are cascaded to form a substation equipment defect detection model. The method is tested on the sample set taken in practical engineering application, and the mAP index is over 92%. The experimental results show that this method can be well ap-plied to the substation equipment defect detection task.
A review on chloride transport model and research method in concrete
Authors: Rong Guocheng , He Tao , Zhang Gaozhan , Li Yang , Wang Yuxuan , Xie Wenjie 
Published: April 2023

Abstract
Chloride ion corrosion of steel bars is one of the important reasons for the decline of durability and service life of concrete structures. Due to the complexity of concrete structure, the migration process of chloride ions in concrete is diversified. Therefore, it is difficult to show the transport mechanism of chloride ions in concrete by a single experimental study. It is necessary to explore the transmission process and mechanism of chloride ions in concrete through theoretical simulation on the basis of experimental research. This paper summarizes the relevant models and methods of chloride transport, points out the advantages and disadvantages of existing models, and prospects the research direction of chloride transport models.
Stretchable silver electrodes adopting double stress release design directly deposited on an eco-flex substrate
Authors: Jeong Jonghyun , Kim Gihak , Jeong Jaewook 
Published: April 2023

Abstract
In this paper, stretchable electrodes adopting a double stress release structure were fabricated and characterized on eco-flex substrates. First, the correlation between mechanical properties applying surface plasma treatment and stretching capability of stretchable silver electrodes directly deposited on eco-flex substrate was studied. The Young’s modulus values of the substrate and metal were extracted using the force-distance relation via atomic force microscopy employing Johnson–Kendall–Roberts model. It was found that, as the Young’s modulus increased with the increase of plasma treatment time, the stretching capability first improved; then, samples showed no improvement over long plasma treatment time. This indicates that there is an optimum plasma treatment time to simultaneously achieve high stretching capability and low initial resistance. Using the optimum time, stretchable silver electrodes adopting double stress release structure along lateral and vertical directions were fabricated and the high stretching capability of the silver electrodes was achieved up to tensile strain of about 160%, as was high stability of up to 1000 times the multi-cycling strain.
Characterization of fused deposition modeling components fabricated at different print orientations
Authors: Sekaran J Joshua Gnana , Pragadish N , Valsakumari M K , Ravikumar S 
Published: April 2023

Abstract
The quality of the components fabricated using fusion deposition modelling (FDM) can be tailored by the proper selection of process parameters values. Print orientation is a key process parameter in FDM which has a strong influence on defect formation and thereby mechanical properties of the components. To address the influence of print orientation, FDM of Polyethylene terephthalate glycol (PETG) samples were fabricated and tested. The samples were fabricated using different print orientations namely 0°, 45°, 90° and combination of 45° and 135° alternatively. From the investigation, it was inferred that the print orientation is crucial in deciding the part properties attributing towards the load bearing capacity of print seams. The print orientation of 90° exhibit higher strength by exhibiting peak load values of 942 N and higher elongation of 128 mm. The elongation capability is more than 40 times higher than the 0°, 45°, and 45°/135° orientations which is attributed to the availability of continuous and longer print seam that supports load bearing and elongation.
The different structure of economic ecosystems at the scales of companies and countries
Authors: Laudati Dario , Mariani Manuel S , Pietronero Luciano , Zaccaria Andrea 
Published: April 2023

Abstract
A key element to understand complex systems is the relationship between the spatial scale of investigation and the structure of the interrelation among its elements. When it comes to economic systems, it is now well-known that the country-product bipartite network exhibits a nested structure, which is the foundation of different algorithms that have been used to scientifically investigate countries’ development and forecast national economic growth. Changing the subject from countries to companies, a significantly different scenario emerges. Through the analysis of a unique dataset of Italian firms’ exports and a worldwide dataset comprising countries’ exports, here we find that, while a globally nested structure is observed at the country level, a local, in-block nested structure emerges at the level of firms. This in-block nestedness is statistically significant with respect to suitable null models and the algorithmic partitions of products into blocks correspond well with the UN-COMTRADE product classification. These findings lay a solid foundation for developing a scientific approach based on the physics of complex systems to the analysis of companies, which has been lacking until now.
Reporting evidence on the environmental and health impacts of climate change on Indigenous Peoples of Atlantic Canada: a systematic review
Authors: Kınay Pelin , Wang Xander , Augustine Patrick Joseph , Augustine Margaret 
Published: April 2023

Abstract
While evidence of Indigenous Peoples’ climate knowledge and adaptation practices is readily available in Canada, regional variations are poorly understood, and proper representation and recognition in academic and planning contexts is scarce. Much less still is known about the health and environmental impacts of climate change on these communities. This review sought to report and assess the evidence of such impacts on Indigenous Peoples in Atlantic Canada over the past two decades. Current published studies focused on Indigenous Peoples’ knowledge and perceptions and highlight government policy for adaptation measurements. We systematically searched publications between January 2002 and March 2022 from the Web of Science, PubMed, Google Scholar, and Science Direct databases, screening for (1) environmental and (2) health impacts of climate change on Indigenous Peoples. Fifty-six articles were selected and thoroughly reviewed using the GRADE approach to assess the quality of the evidence. The quality of evidence ranged from low to moderate, and the evidentiary foundation for links between climate change and health effects was weak. We thus find an opportunity for future research to focus on climate-related effects on the health and lands of Indigenous Peoples within Atlantic Canada, especially concerning impacts on mental health.
US farmers’ adaptations to climate change: a systematic review of adaptation-focused studies in the US agriculture context
Authors: Ishtiaque Asif 
Published: April 2023

Abstract
Farmers in the US are adopting a range of strategies to deal with climate change impacts, from changing planting dates to using advanced technologies. Studies on farmers’ adaptation in US agriculture focus on a variety of topics and provide an understanding of how farmers adapt to climate change impacts, which adaptation strategies offer better outcomes, and what challenges need to be addressed for effective adaptations. Nevertheless, we lack a comprehensive view of adaptation studies focusing on US farmers’ adaptations. A review of adaptation studies in US agriculture context will help us to understand current adaptation research trends and realize future research potential. To fulfill this gap, this study systematically reviewed peer-reviewed studies on adaptation to climate change in US agriculture. A systematic search on the Web of Science and Google Scholar platforms generated 95 articles for final review. These studies were categorized under five themes based on their topical relevance: (i) reporting on-farm adaptations, (ii) exploring potential adaptations, (iii) evaluating specific adaptations, (iv) challenges of adaptations, and (v) perceptions toward adaptations. A skewed distribution of studies under these themes has been observed; a majority of the studies focused on evaluating specific adaptations (47%) followed by exploring potential adaptations (22%), while reporting on-farm adaptations (17%), challenges of adaptations (6%), and perception towards adaptations (8%) received less attention. In this article, key findings under each theme are presented and some areas for future research focus are discussed. These findings indicate the need for more attention to documenting on-farm adaptation strategies and the associated challenges while emphasizing other themes.
Metal Exposure and Risk of Parkinson Disease: A Systematic Review and Meta-Analysis
Authors: Zhao Yujia , Ray Anushree , Portengen Lützen , Vermeulen Roel , Peters Susan 
Published: April 2023

AbstractMetal exposure has been suggested as a possible environmental risk factor for Parkinson disease (PD). We searched the PubMed, EMBASE, and Cochrane databases to systematically review the literature on the relationship between metal exposure and PD risk and to examine the overall quality of each study and the exposure assessment method. A total of 83 case-control studies and 5 cohort studies published during the period 1963–July 2021 were included, of which 73 were graded as being of low or moderate overall quality. Investigators in 69 studies adopted self-reported exposure and biomonitoring after disease diagnosis for exposure assessment approaches. The meta-analyses showed that concentrations of copper and iron in serum and concentrations of zinc in either serum or plasma were lower, while concentrations of magnesium in CSF and zinc in hair were higher, among PD cases as compared with controls. Cumulative lead levels in bone were found to be associated with increased risk of PD. We did not find associations between other metals and PD. The current level of evidence for associations between metals and PD risk is limited, as biases from methodological limitations cannot be ruled out. High-quality studies assessing metal levels before disease onset are needed to improve our understanding of the role of metals in the etiology of PD.
Mitochondrial peroxiredoxin 5 overexpression suppresses insulin-induced adipogenesis by downregulating the phosphorylation of p38
Authors: Shin Hye Jin , Lee Sung Woo , Kim Mi Hye , Park Young-Ho , Lee Hong Jun , Lee Dong-Seok 
Published: April 2023

ABSTRACT
Obesity is caused by the accumulation of excess lipids due to an energy imbalance. Differentiation of pre-adipocytes induces abnormal lipid accumulation, and reactive oxygen species (ROS) generated in this process promote the differentiation of pre-adipocytes through mitogen-activated protein kinase (MAPK) signaling. Peroxiredoxin (Prx) is a potent antioxidant enzyme, and peroxiredoxin 5 (Prx5), which is mainly expressed in cytosol and mitochondria, inhibits adipogenesis by regulating ROS levels. Based on previous findings, the present study was performed to investigate whether cytosolic Prx5 (CytPrx5) or mitochondrial Prx5 (MtPrx5) has a greater effect on the inhibition of adipogenesis. In this study, MtPrx5 decreased insulin-mediated ROS levels to reduce adipogenic gene expression and lipid accumulation more effectively than CytPrx5. In addition, we found that p38 MAPK mainly participates in adipogenesis. Furthermore, we verified that MtPrx5 overexpression suppressed the phosphorylation of p38 during adipogenesis. Thus, we suggest that MtPrx5 inhibits insulin-induced adipogenesis more effectively than CytPrx5.
8-Prenyl daidzein and 8-prenyl genistein from germinated soybean modulate inflammatory response in activated macrophages
Authors: Jheng Huei-Fen , Takase Miho , Kawarasaki Satoko , Ni Zheng , Mohri Shinsuke , Hayashi Kanako , Izumi Atsushi , Sasaki Kuni , Shinyama Yu , Kwon Jungin , Ng Su-Ping , Takahashi Haruya , Nomura Wataru , Yu Rina , Ochiai Koji , Inoue Kazuo , Kawada Teruo , Goto Tsuyoshi 
Published: April 2023

ABSTRACT
Soy isoflavones have been shown to have anti-inflammatory properties; however, the anti-inflammatory effects of isoflavone metabolites produced during soybean germination remain unclear. We found that the daidzein and genistein derivatives, 8-prenyl daidzein (8-PD) and 8-prenyl genistein (8-PG), demonstrated a more potent effect than daidzein and genistein on repressing inflammatory responses in macrophages. Although IkB protein levels were unaltered, 8-PD and 8-PG repressed nuclear factor kappa B (NF-κB) activation, which was associated with reduced ERK1/2, JNK, and p38 MAPK activation and suppressed mitogen- and stress-activated kinase 1 phosphorylation. Inflammatory responses induced by the medium containing hypertrophic adipocyte secretions were successfully suppressed by 8-PD and 8-PG treatment. In the ex vivo study, 8-PD and 8-PG significantly inhibited proinflammatory C–C motif chemokine ligand 2 (CCL2) secretion from the adipose tissues of mice fed a long-term high-fat diet. The data suggest that 8-PD and 8-PG could regulate macrophage activation under obesity conditions.
streammd: fast low-memory duplicate marking using a Bloom filter
Authors: Leonard Conrad 
Published: April 2023

Abstract

Summary
Identification of duplicate templates is a common preprocessing step in bulk sequence analysis; for large libraries, this can be resource intensive. Here, we present streammd: a fast, memory-efficient, single-pass duplicate marker operating on the principle of a Bloom filter. streammd closely reproduces outputs from Picard MarkDuplicates while being substantially faster, and requires much less memory than SAMBLASTER.

Availability and implementation
streammd is a C++ program available from GitHub https://github.com/delocalizer/streammd under the MIT license.
Functional neural network connectivity at 3 months predicts infant-mother dyadic flexibility during play at 6 months
Authors: Li Xiaomei , Chen Haitao , Hu Yannan , Larsen Ryan J , Sutton Bradley P , McElwain Nancy L , Gao Wei 
Published: April 2023

Abstract
Early functioning of neural networks likely underlies the flexible switching between internal and external orientation and may be key to the infant’s ability to effectively engage in social interactions. To test this hypothesis, we examined the association between infants’ neural networks at 3 months and infant-mother dyadic flexibility (denoting the structural variability of their interaction dynamics) at 3, 6, and 9 months. Participants included thirty-five infants (37% girls) and their mothers (87% White). At 3 months, infants participated in a resting-state functional magnetic resonance imaging session, and functional connectivity (FC) within the default mode (DMN) and salience (SN) networks, as well as DMN-SN internetwork FC, were derived using a seed-based approach. When infants were 3, 6, and 9 months, infant-mother dyads completed the Still-Face Paradigm where their individual engagement behaviors were observed and used to quantify dyadic flexibility using state space analysis. Results revealed that greater within-DMN FC, within-SN FC, and DMN-SN anticorrelation at 3 months predicted greater dyadic flexibility at 6 months, but not at 3 and 9 months. Findings suggest that early synchronization and interaction between neural networks underlying introspection and salience detection may support infants’ flexible social interactions as they become increasingly active and engaged social partners.
Correlation of Ultrasound Scores with Endoscopic Activity in Crohn’s Disease: A Prospective Exploratory Study
Authors: Dragoni Gabriele , Gottin Matteo , Innocenti Tommaso , Lynch Erica Nicola , Bagnoli Siro , Macrì Giuseppe , Bonanomi Andrea Giovanni , Orlandini Beatrice , Rogai Francesca , Milani Stefano , Galli Andrea , Milla Monica , Biagini Maria Rosa 
Published: April 2023

Abstract

Background and Aims
Intestinal ultrasound [IUS] is widely accepted as a reliable tool to monitor Crohn’s disease [CD]. Several IUS scores have been proposed, but none has been formally accepted by international organizations. Our aim here was to compare the available scores regarding their correlation with endoscopic activity.

Methods
Consenting CD patients undergoing ileocolonoscopy at our Unit between September 2021 and February 2023 were included. Endoscopic activity was defined as SES-CD ≥ 3 or Rutgeerts score ≥ i2b for operated patients. IUS was performed within 6 weeks of endoscopy and scored with IBUS-SAS, BUSS, Simple-US and SUS-CD scores. All correlations were performed using Spearman’s rank coefficient [rho = ρ]. Receiver operating characteristic [ROC] curves were compared with the Hanley and McNeil method.

Results
Of 73 CD patients, 45 [61.6%] presented endoscopic activity, of whom 22 were severe [30.1%]. All IUS scores showed a significant positive correlation with endoscopy [p &lt; 0.0001], with IBUS-SAS ranking the highest [ρ = 0.87]. Similarly, IBUS-SAS was the most highly correlated with clinical activity [ρ = 0.58]. ROC analysis of IBUS-SAS for any endoscopic activity showed the highest area under the curve (0.95 [95% confidence interval 0.87–0.99]), with sensitivity of 82.2% and specificity of 100% for a cut-off value of 25.2. IBUS-SAS was statistically superior to all the other scores in detecting severe endoscopic activity [SES-CD ≥ 9 or Rutgeerts i4].

Conclusions
All IUS scores provided solid correlation with endoscopy and clinical symptoms. IBUS-SAS outperformed the others due to a more granular description that might help in stratifying different levels of disease activity. Therefore, the use of IBUS-SAS in centres with well-founded expertise in IUS can be suggested.
Microbial communities in the water surface microlayer and associations with microbes in aerosols, beach sand, and bulk water
Authors: Abdool-Ghany Afeefa A , Klaus James S , Sosa Villegas Luis E , D'Alessio Trent , Gidley Maribeth L , Sinigalliano Christopher D , Gaston Cassandra , Solo-Gabriele Helena M 
Published: April 2023

Abstract
The water surface microlayer (SML) serves as a boundary through which microbes can be exchanged. To evaluate exchanges of microbes, this study compared microbial communities within different reservoirs, with an emphasis on the water SML and aerosols. Additionally, the microbial communities during a sewage spill and perigean tides were evaluated and the results were compared to times without these events. Results show that during perigean tides and during the sewage spill, levels of culturable bacteria were highest and showed an increase via sequencing in potential pathogenic bacteria (Corynebacterium and Vibrio, which increased from 3.5%-1800% depending on sample type). In the aerosol samples, Corynebacterium (average of 2.0%), Vibrio (1.6%), and Staphylococcus (10%), were the most abundant genera. Aerosolization factors, which were used to examine the transfer of the microbes, were high for these three genera. Measurements of general marine bacteria (GMB) by culture showed a weak but significant correlation between culturable GMB in aerosol samples versus in water and in the SML. More research is needed to evaluate the exchange of pathogens between the SML and air, given the increase in potentially pathogenic microbes within the SML during rare events and evidence that suggests that microbes maintain viability during transfers across reservoirs.