bluuebunny/crossref_metadata_2025_split huggingface dataset:
EDITOR’S NOTE: Identifying An Education Research Study’s Limitations
Authors: Slater T 
Published: November 2022

Discipline-based science education research studies face many limitations. One is that study-participants are human beings and apt to be inconsistent in how they respond to educational interventions—even high quality and highly effective ones. The second is that researchers themselves are human and well poised to use study designs and data analysis approaches that yield the most desired results. In the end, simply having “too small a sample size” is a short-sighted limitation. It is author’s intellectually pursuing the full range of possible limitations of a study that new insights and new experimental designs can be intellectually created. The discussion of limitations should bring forth ideas and next steps pathways for researchers to follow, making articles more of a conversation and intellectual stimulation of a research trajectory rather than an abrupt ending to a study.
Complex Dislocation of the Metacarpophalangeal Joint in the Index Finger of a Child
Authors: Jerome J. Terrence Jose 
Published: November 2022

Case:
The author reports a complex metacarpophalangeal joint dislocation in a 14-year-old adolescent boy with multiple failed closed reduction manipulations and unsuccessful open procedures. The patient underwent another surgical procedure through the same volar approach, and the joint was reduced along with the volar plate repair. The functional outcome at 1-year follow-up was excellent.

Conclusions:
Metacarpophalangeal dislocations of the index finger are rare in the pediatric population. The interposition of the volar plate is the significant barrier to reduction and the prime reason for unsuccessful closed reduction attempts. In such cases, surgeons may prefer a dorsal or volar approach to open and reduce the joint. Unsuccessful open reduction is rare.
Metabolomic analysis of the effect of canagliflozin on HFpEF rats and its underlying mechanism
Authors: Zhang Guorui , Zuo Qingjuan , Ma Sai , He Lili , Wang Zhongli , Zhai Jianlong , Zhang Tingting , Wang Yan , Guo Yifang 
Published: November 2022

Abstract
Background
Sodium-glucose cotransporter 2 inhibitors reduce cardiovascular mortality in patients. We studied the effect of canagliflozin on cardiac remodeling and myocardial metabolism in a rat model of heart failure with preserved ejection fraction (HFpEF).
Methods
In this study, a rat model of HFpEF was treated with canagliflozin, and blood glucose, renal function, oxidative stress indexes, lipid parameters, biochemical indexes and echocardiographic left ventricular function were assessed in the normal control group (group A), heart failure group (group B) and treatment group (group C). Metabolomics was used to analyze the possible pathways involved in the activity of canagliflozin.
Results
After canagliflozin treatment, E/A significantly increased, the myocardial volume decreased, the fibrotic area decreased, and cardiac remodeling improved in the rats with HFpEF. Rats with HFpEF displayed higher levels of L-lysine, D-glucose, uridine, O-phosphoethanolamine, L-norleucine, ribothymidine, and UDP-N-acetyl-alpha-D-galactosamine, reflecting hypermetabolism, and these increases were reversed by canagliflozin treatment. Myocardial metabolomics analysis of HFpEF rats compared with normal controls showed enrichment of metabolites involved in β-alanine metabolism, pyrimidine metabolism, arginine metabolism, proline metabolism, the citrate cycle (TCA cycle), glycolysis or gluconeogenesis and pyruvate metabolism. Canagliflozin decreased starch and galactose metabolism; cysteine and methionine metabolism; phenylalanine, tyrosine and tryptophan biosynthesis; and phenylalanine metabolism pathway activity and improved energy metabolism.
Conclusions
Canagliflozin had a cardioprotective effect in rats with HFpEF.
Application of Intelligent Algorithm in Operation Optimization of Compressor Unit
Authors: Liu Hangming , Zhou Yuanhua , Yi Xianzhong , Wan Jifang , Chen Lin , He Yuxian 
Published: November 2022

Abstract
At present, the difficulty in formulating the operation plan of the natural gas booster station is how to quickly and accurately adjust the pit pressure according to the change of the downstream gas consumption without exceeding the maximum power parameters of the compressor, and formulate the multi-unit combined operation plan in advance according to the specific requirements.Taking the large-scale natural gas compressor unit of the Tajik booster station of Sino-Petroise's Daniudi gas field as the research object, according to the compressor operation model, the BP neural network algorithm and the support vector machine (SVM) algorithm are used to predict the exhaust temperature, intake pressure and shaft power of compressor numerically through these two intelligent algorithms, and the most accurate prediction method is determined by comparing the prediction errors. The prediction results of exhaust temperature can effectively avoid the problems of volume efficiency reduction, power consumption increase and lubricant carbon deposit caused by excessive temperature; compressor operation conditions can be adjusted according to the prediction results of intake pressure; compressor unit operation combination can be adjusted according to the prediction results of shaft power, and the optimal unit operation scheme can be formulated.It can be seen from the comparison between the prediction results of the two algorithms and the field measurement results that the prediction curve obtained by the BP neural network algorithm has higher fitting degree, the correlation coefficient R = 1, and the prediction result is more accurate.The relative error between the prediction result of the model and the measured value of the model is less than 2.80%, which verifies the reliability of BP neural network algorithm prediction.This method can help the staff to formulate a multi-unit online operation plan in advance, improve the operation efficiency of the unit, and reduce energy consumption and operation and maintenance costs.Through 4 months of on-site application, it saves 38% of electricity, equivalent to RMB 7,025,113, and saves an average of 1,756,278 yuan per month.
Global burned area datasets severely underestimate fire-related forest loss
Authors: Khairoun Amin , Mouillot Florent , Chen Wentao , Ciais Philippe , Chuvieco Emilio 
Published: November 2022

Abstract
High omission rates of global coarse-resolution burned area (BA) products entail significant underestimation of actual fire impacts, especially in tropical regions. Fire impacts on deforestation in sub-Saharan Africa (SSA) were analysed for 2016 and 2019 based on sentinel-2 satellite data (20 m). We found that fires are a precursor of forest loss, as burned areas had more than twice the chance to be deforested than unburned ones during the two study years. In moist tropical forest, the most vulnerable biome to fires, burning had even six times more chance to precede forest loss. For the whole SSA, fires contributed to more than 46% of total forest losses, more than twice the estimates based on two global BA products derived from the MODIS sensor (≥ 250 m). The vast majority of these losses occur in fragmented areas close to forest edge (< 320 m). We also found that medium-resolution BA detects more fires in late fire season, which tend to have higher impact on forest degradation than early season fires. High-resolution BA products are therefore needed to better assess fire and forest dynamics in tropical ecosystems.
Portulaca oleracea L. Aqueous Extracts and Portulaca oleracea L. Juice Suppresses Inflammation in Ulcerative Colitis Mice
Authors: Fan Yimeng , Wei Yuanyuan , Wang Huiru , Ga Yu , Zhang Yannan , Hao Zhihui 
Published: November 2022

Abstract
Portulaca oleracea L. (PO) is an edible and medicinal plant for treating gastrointestinal diseases. However, the effects and mechanism of PO on ulcerative colitis (UC) are still unclear. This study evaluated the impact of Portulaca oleracea L. aqueous extract (POE) and Portulaca oleracea L. juice (PJ) on DSS-induced UC in mice and revealed its mechanisms. The results showed PJ had more bioactive compounds and overlapping targets with UC than POE. Both POE and PJ reduced DAI scores and the infiltration of inflammatory cells in UC mice model while PJ had a better effect. In addition, PJ decreased the expression of NLRP3 inflammasome thus inhibiting pyroptosis. The expression of tight junction proteins was upregulated by PJ and the dysfunction of the intestinal barrier was repaired. In conclusion, PJ improves the colitis caused by DSS and may suppress pyroptosis by interfering with the activation of the NLRP3 inflammasome.
A low-cost vision-based weld-line detection and measurement technique for robotic welding
Authors: Reddy Janvita , Dutta Ananta , Mukherjee Avishek , Pal Surjya K. 
Published: November 2022

Abstract
To make robotic welding more flexible and intelligent, artificial intelligence-based systems are one of the most important developments. With the help of computer vision, an algorithm for detection of weld path, and measurement of weld gap, and weld length is developed and its implementation in robotic welding is explored in this paper. A novel method that makes use of various image processing algorithms and mathematical operations is proposed for subtraction of boundary edges and determining the weld length and weld gap at every seam point. An evaluation of the robustness of the developed algorithm was performed on butt joints of various shapes (e.g., straight, zigzag, and curve) and sizes (e.g., length of the joint, gaps between abutting edges). The obtained length and gap values are validated by physical measurements, and the absolute errors were found to be within ± 1 mm, and ± 0.1 mm, for length and gap measurements, respectively, The model possesses 99.5% average precision in detecting atypical weld region. Weld seam information can be extracted effectively with the proposed algorithm, which proves its viability for industrial applications.
Photocatalyzed Regioselective Hydrosilylation for the Divergent Synthesis of Geminal and Vicinal Borosilanes
Authors: Kong Degong , Zhang Muliang , Zhang Yuchao , Yu Zhenyang , Cao Hui , Wu Jie 
Published: November 2022

AbstractGeminal and vicinal borosilanes are useful building blocks in synthetic chemistry and material science. Hydrosilylation/ hydroborylation of unsaturated systems offer expedient access to these motifs. In contrast to the well-established transition-metal-catalyzed methods, radical approaches are rarely explored. Herein we report the synthesis of geminal borosilanes from α-selective hydrosilylation of alkenyl boronates via photoinduced hydrogen atom transfer (HAT) catalysis. Mechanistic studies implicate that the α-selectivity originates from a kinetically favored radical addition and an energetically favored HAT process. We further demonstrate selective synthesis of vicinal borosilanes through hydrosilylation of allyl boronates via 1,2-boron radical migration. These strategies exhibit broad scopes across primary, secondary, and tertiary silanes and various boron compounds. The synthetic utility is evidenced by access to multi-borosilanes in a diverse fashion and scaling up by continuous-flow synthesis.
On the Integration of Additive Manufacturing for Aircraft Spare Parts Inventory Control
Authors: Abidar Youssef , Chaabane Amin 
Published: November 2022

Abstract

Spare parts inventory management represents a challenge for aircraft companies. Determining the optimal allocation and consumption of spare parts is problematic due to the intermittent demand. Original equipment manufacturer (OEM) uses different models to evaluate inventory stock level to avoid the non-availability of the desired spare parts when required. With the recent implementation of additive manufacturing (AM) in many sectors, the implications of AM for spare parts inventory management and control models need more attention. This paper aims to evaluate the advantage of AM integration for spare parts optimization in a multi-echelon inventory system. It compares three scenarios for non-moving, slow-moving, and fast-moving spare parts. A scenario-based modeling approach is followed to draw out insights for managers. The first scenario considers the conventional case where there is no integration of AM. The second scenario considers AM integration only in the central maintenance center (CMC). The third scenario assumes AM integration in CMC and regional maintenance centers (RMC). This analysis showed that when AM repair time is inferior to conventional process (CP) repair time, the best scenario for AM manufacturing integration is a decentralized AM location. And when AM repair time equals CP repair time, and AM repair probability is superior to 70%, the decentralized scenario still the optimal integration solution. However, when the AM repair time equals CP repair time, and the AM repair probability is inferior to 70%, the centralized scenario is the optimal integration solution. Moreover, non-moving and slow-moving spare parts are the most suitable categories for optimal AM allocation. Finally, the paper offers guidelines on adopting AM in the aircraft supply chain and the impact on spare part inventory management.
Identification and function of TEAD1 regulated enhancer in HepG2 cells
Authors: Tang Yuze , Zhang Yin , Zhong Tengwei , Huai Ruiping , Guo Zhiyun 
Published: November 2022

Abstract
Background Recent studies have shown that regulatory networks constituted by TFs, enhancer, and miRNAs is crucial for transcriptional regulation and progression in cancer. However, it is unclear whether TEAD1, a cancer-related transcription factor, is involved in enhancer-miRNA network and participates in tumorigenesis and development of hepatocellular carcinoma (HCC).
Methods and Results In this study, we first identified 14,286 active enhancers through integrating CAGE-seq and GRO-seq of HepG2, and confirmed that these active enhancers have previously approved features. Moreover, 2,550 enhancers that bound by TEAD1 (EnhTEAD1) were identified through combining 35,883 TEAD1-DNA binding sites. Furthermore, in order to conveniently study the function of TEAD1-enhancer, we divided the enhancers into two categories by whether they are combined with TEAD1: EnhTEAD1 and Enhno-TEAD1. We found that the expression of eRNA (enhancer RNA) and markers of active enhancers (H3K27ac, H3K4me1 and H3K4me3) were significantly higher on EnhTEAD1 than on Enhno-TEAD1. In addition, we suggest that TEAD1 may function as a co-factor with several TFs (GATA4, HNF4A, YY1 and CTCF) and promotes chromosomal accessibility and spatial looping of EnhTEAD1. We performed the small RNA sequencing after interfering with TEAD1 by siRNA in the HCC HepG2 cells. Totally, 68 EnhTEAD1-regulated differently expressed miRNAs interactions (EnhTEAD1-miRNAs) were obtained by RNA-seq and Hi-C. Finally, we found that these EnhTEAD1-miRNAs were significantly involved in kinds of cancer-related pathways and biological processes .
Conclusion In summary, this study elucidates the regulation mechanism of EnhTEAD1-miRNAs network in HCC, and also provides a new potential target for the further treatment of HCC.
Monitoring Large-Scale Regenerative Grazing Using Artificial Intelligence
Authors: Efremova Natalia , Foley Conrad , Unagaev Aleksei , Karimi Rebekah , Averkin Alexey , Gutierrez-Romero Roxana 
Published: November 2022

Abstract
Grazing livestock raises greenhouse gas emissions and contributes significantly to climate change. Excessive grazing also causes soil degradation, makes pastures more prone to drought, and renders them unsuitable for long-term usage. However, well-managed regenerative grazing can help combat global warming without jeopardizing food security and livelihoods for millions of people worldwide. With existing manual procedures, traditional regenerative grazing has proven difficult to apply efficiently. In this paper we propose a novel Artificial Intelligence-powered method for monitoring large-scale regenerative grazing. Using deep learning and publicly available ESA Sentinel-2 satellite images, this method first classifies land cover. Then, using machine learning, 18 bioparameters are tracked, providing farmers with recommendations on how to arrange livestock to minimize environmental impacts. We apply this method to a large conservancy in Kenya. Our case study demonstrates that our artificial intelligence-powered method achieves considerable gains in grass regeneration and offers great promise for improving sustainable development.
The topology of the reaction stereo-dynamics in chemi-ionizations and ion chemistry
Authors: Falcinelli Stefano , Vecchiocattivi Franco , Pirani Fernando 
Published: November 2022

AbstractThe detailed characterization of barrier-less chemi-ionization reactions provides unique-direct information on basic quantities determining the topology of their stereo-dynamics. The precursor state, formed by collisions of reagents, plays here an important role being coincident with the reaction transition state. All the features of such a state, as well as its structure and stability, are directly or indirectly controlled by intermolecular forces operative in each collision complex. Particular attention it must be focused on the selectivity of the orbital angular momentum, affecting the fate of each collision event at any collision energy. Moreover, the distance of the closest approach (turning point) of reagents, controls the relative weight of two different reaction mechanisms: i) An exchange mechanism triggered by strong chemical forces that act mainly at short separation distances, inducing an electron transfer between the reactants through a prototype oxidation process; ii) A radiative mechanism, caused by the combination of weak chemical and physical forces dominant at larger distances and which provokes an electron ejection via a pure photoionization event determined by the exchange of a “virtual” photon between the reacting partners. Obtained results are of great interest for many other elementary processes, difficult to characterize at the same level of detail. They suggest some limitations of the so called "capture models", usually exploited to describe many other barrier-less processes, like ion–molecule reactions, occurring in interstellar medium, planetary atmospheres and plasmas.
Additive Manufacturing of Recycled Plastics: A ‘Techno-eco-efficiency’ Assessment
Authors: Jayawardane Heshan , Davies Ian J. , Gamage J. R. , John Michele , Biswas Wahidul K. 
Published: November 2022

Abstract
Plastic materials have been widely used to replace metals in functional parts due to their lower cost and comparable technical properties. However, the increasing use of virgin plastic material in consumer and industrial applications has placed a significant burden on waste management due to the volume of waste created and the potential negative effects of its end-of-life processing. There is a need to adopt circular economy strategies such as plastic recycling in industrial applications in order to reduce this significant waste management pressure. This study used recycled polylactic acid (PLA) material as a feedstock for the 3D printing of a centrifugal semi-open pump impeller. The technical performance of 3D printed recycled PLA material and virgin PLA material was compared. The environmental impacts for technically feasible impellers were assessed through environmental life cycle assessment, while costs were evaluated by life cycle costing. The results were incorporated into a techno-eco-efficiency framework to compare the technical properties, environmental impacts, and costs. The social impacts of additive manufacturing and recycled feedstock material were also explored. The technical assessment results showed that tensile strength, fatigue strength, density, and hardness decreased with recycled material compared to virgin material. Microscopy of the fracture surfaces revealed the presence of slightly higher porosity and defects in recycled specimens, which could result in slightly lower technical properties. The recycled material was however accepted for further ecological analysis as it offered higher pumping performance when compared to the original component and could reduce the burden on virgin material-based production and waste material disposal. Importantly, the results showed that 3D printed recycled PLA impellers are more eco-efficient than 3D printed virgin PLA impellers.
Potassium-rich mining waste addition can shorten the composting period by increasing the abundance of thermophilic bacteria at high temperature period
Authors: Huo Xiao-jun , Zhou Yan , Chen Min-jie , Zhou Jian-lin , Zheng Chun-li 
Published: November 2022

Abstract
Conventional compost sludge takes a long time in the fermentation process and is not full of nutrients. Potassium-rich mining waste was used as an additive for aerobic composting of activated sludge to make a new sludge product. The effects of different feeding ratios of potassium-rich mining waste and activated sludge on physicochemical properties, thermophilic bacteria community structure during aerobic composting were investigated. The results showed that potassium-rich waste minerals contribute to the increase of mineral element content; although the addition of potassium-rich waste minerals affected the peak temperature and duration of compost, the more sufficient oxygen content promoted the growth of thermophilic bacteria, and thus shortened the overall compost period. Considering the requirements of composting temperature, it is recommended that the addition of potassium-rich waste minerals should be less than or equal to 20%.
Loss of TP53 cooperates with c-MET overexpression to drive hepatocarcinogenesis
Authors: Chen Xin , Zhou Yi , Cui Guofei , Xu Hongwei , Chu Joanne , Zhang Zheng , Yang Lihui , Wang Jingxiao , Calvisi Diego F , Lin Shumei , Wang Haichuan 
Published: November 2022

Abstract
Hepatocellular carcinoma (HCC) is a deadly malignancy with high genetic heterogeneity. TP53 loss of function (LOF) mutation and c-MET activation are frequent events in human HCCs. Here, we discovered that the simultaneous LOF mutations in TP53 and activation of c-MET occur in ~ 20% of human HCCs, and these patients show a poor prognosis. Importantly, we found that concomitant deletion of Trp53 and overexpression of c-MET (c-MET/sgp53) in the mouse liver led to HCC formation in vivo. Consistent with human HCCs, RNAseq showed that c-MET/sgp53 mouse HCCs were characterized by activated c-MET and Ras/MAPK cascades and increased tumor cell proliferation. Subsequently, a stably passaged cell line derived from a c-MET/sgp53 HCC and corresponding subcutaneous xenografts were generated. Also, in silico analysis suggested that the MEK inhibitor trametinib has a higher inhibition score in TP53 null human HCC cell lines, which was validated experimentally. We consistently found that trametinib effectively inhibited the growth of c-MET/sgp53 HCC cells and xenografts, supporting the possible usefulness of this drug for treating human HCCs with TP53-null mutations. Altogether, our study demonstrates that loss of TP53 cooperates with c-MET to drive hepatocarcinogenesis in vivo. The c-MET/sgp53 mouse model and derived HCC cell lines represent novel and useful preclinical tools to study hepatocarcinogenesis in the TP53 null background.