bluuebunny/crossref_metadata_2025_split huggingface dataset:
PCGC: A performance compact graph compiler based on multilevel fusion-splitting rules
Authors: Dong Dong , Jiang Hongxu , Lin Hanqun , Song Yanfei 
Published: December 2022

Abstract
The existing deep learning compilers are unable to perform efficient hardware performance-related graph fusion when both time and power consumption are considered. The operator optimization cost is too high because of excessive fusion or skipping fusion. In addition, the compilers optimize the computational graph of Deep Neural Networks (DNN) by performing static graph transformation based on the greedy algorithm, only considering the runtime performance and ignoring the cost of the tuning process. To solve these problems, this paper proposes PCGC, a DNN computational graph optimization compiler. Through the performance feedback at runtime, PCGC designs a computational graph fusion and splitting optimization strategy based on multilevel operator layer fusion-splitting rules. First, PCGC uses a rule-guided graph segmentation algorithm to recursively segment the computational graph into smaller subgraph to achieve an efficient and detailed search. Then, PCGC uses the cost model to receive the feedback of hardware performance information, uses the cost model and operator fusion rules to guide the partial fusion and split of the nodes and edges of the computational graph, and flexibly generates the optimal subgraph according to different hardware. Finally, in the fusion process, the operator computing attributes are considered. The graph-level node and operator-level cyclic fusion are closely combined to optimize the search space of partial fusion. Compared with other advanced accelerators, PCGC optimizes the overall power consumption on an embedded GPU by an average of 130.5% when the time consumption on each hardware is not lower than the average time consumption. On Domain Specific Architecture (DSA), PCGC optimizes power consumption by an average of 66.5%. On FPGA, PCGC optimizes power consumption by 66.1%. In a sense, PCGC can achieve high-speed inference in specific power supply scenarios, reducing the carbon emissions of edge computing.
Influential factors on the internalization of professional values among nurses: a qualitative study
Authors: Kazemi Sahar , Parizad Naser , Habibzadeh Hossein 
Published: December 2022

Abstract
Background
Internalization of nursing professional values is a process which starts before entering nursing and continues throughout the studentship period and actual professional practice. Differences among nurses respecting the internalization of professional values can lead to conflicts in decision making. Many different factors can influence the internalization of professional values. Nonetheless, there are limited studies in this area, particularly in Iran. Therefore, this study was conducted to explore the influential factors on the internalization of professional values among nurses.
Methods
This exploratory qualitative study was conducted in 2020–2021. Study participants were 23 nurses purposively recruited from eight hospitals in Tehran, Tabriz, and Urmia, Iran. Data were collected via in-depth semi-structured face-to-face interviews and were analyzed through thematic analysis.
Findings:
The influential factors on the internalization of professional values among nurses came into three main themes, namely personal values before entering university, values learned during studentship, and work-related factors.
Conclusions
Personal values before entering university, values learned during studentship, and work-related factors can influence the internalization of professional values among nurses. Therefore, nursing managers and policy makers need to use strategies to determine and manage the challenges of studentship and professional practice periods in order to create appropriate educational and professional context for training competent and professional nursing staff and facilitating their internalization of professional values. Effective communication between nursing education and practice can also facilitate nurses’ internalization of professional values and professionalization and improve their professional commitment.
Instant identification of Hydrocarbon spill types using laser-induced fluorescence and associated hyperspectral imaging
Authors: Mahmoud Alaaeldin , El-Sharkawy Yasser H. 
Published: December 2022

Abstract

Marine hydrocarbon (HC) spills seriously harm the marine ecosystem and necessitate the creation of effective cleanup strategies. For efficient treatment, it is crucial to accurately identify the type of HC implicated in the spill. Diesel oil, gasoline, lubrication oil, and waste oil were chosen as the experimental starting materials since they are prevalent HC kinds. This study reports on the facile differentiation of diesel fuel and gasoline to engine oil via induced fluorescence by a laser. The tested material was stimulated with a 450-nm blue laser source. The fluorescence characteristic of each tested HC spill sample was captured via a hyperspectral imaging (HI) camera. Diesel fuel could be identified via their unique fluorescence signatures at 470 nm and 515 nm. Gasoline was found to be a less photoluminescent active material, with characteristic signals at 465 nm and 585 nm. At 505 nm, lubricating oil had the typical fluorescence signal. On the whole study spectrum, there are no re-emitted frequencies for the waste oil. Fluorescence signals secured good discrimination between fuel and engine oil of HC chemical structures. Signal intensity can contribute further discrimination. Fluorescence intensity at selected photoluminescence wavelengths secured further grouping between fuel and oil. Our imaging approach would provide investigators with the ability to define the HC and choose a mitigation strategy for fast HC spill identification. Aerial systems with a customized common camera that only functions at a certain wavelength filter with our methodology based on fluorescence spectroscopy may be effectively developed for HC spill detecting applications.
Research on real-time risk assessment method of long-tube trailer road transport based on big data
Authors: Wang WenKun , Xu Ming , Dai CaiYan , Ma ChengLong , Yang LianQing 
Published: December 2022

Abstract
Long-tube trailer is a typical mobile pressure-bearing special equipment, with the advantages of high efficiency, convenience and wide coverage, but the long-tube trailer transport medium is mostly flammable, explosive, corrosive and toxic, so it has high safety hazards and potential dangers, threatening production safety and public safety at all times.In order to improve the safety supervision efficiency of long-tube trailers, this paper uses cloud models, hierarchical analysis and other methods to combine qualitative and quantitative methods, determine and screen safety status parameters, establish a macro safety risk index system for long-tube trailers, determine the weights of indicators, and finally construct a macro safety risk early warning model for long-tube trailers, which has important theoretical and practical significance for improving the safety supervision efficiency of long-tube trailers.
Morphological description of the last instar larva of Tipula (Pterelachisus) cinereocincta mesacantha Alexander, 1934 (Diptera: Tipuloidea: Tipulidae)，a newly recorded crane fly from China
Authors: Cai Wan-Xin , Gao Yue-Tian , Li Yan , Jiang Lu 
Published: December 2022

Abstract

Tipuloidea (crane flies) is one of the most species-rich groups of Diptera, including over 15,000 species worldwide, with a wide variety of habitats. However, relatively less attention has been paid to the larvae of crane fly in contrast to the better-known adults. In this study, Tipula (Pterelachisus) cinereocincta mesacantha Alexander, 1934 is added into the fauna of China, which larvae were found beneath a piece of moss in a forest of eastern Liaoning. The external structures of the larva are described thoroughly with light microscopic illustrations. Meanwhile, with scanning electron microscopy, more detailed structures of the larval head capsule, the antenna and the mouthparts, are firstly present for the larvae of Tipula (Pterelachisus). Some microscopic structures, including the paired peg-like sensilla on the central teeth of epipharynx, and a pair of cushiony lobes anterior to the teeth, are newly recorded for the crane fly larva. Morphological differences and variations of the larval structures between T. (P.) cinereocincta mesacantha and its related species or genera are discussed. The discovery would provide new data and insights for the further research on the taxonomy and phylogeny, as well as some evidences of the biology and adaption of crane fly larvae.
Measuring Angle Kappa Using the Autorefractometer
Authors: Yolcu Demet 
Published: December 2022

Abstract
Purpose: The aim of this study was to present a novel angle kappa (k) measurement method and angle k grading scale.
Methods: Two hundred sixty eyes of 130 subjects were included in the study. All eyes were evaluated using autorefractometer front monitor image (Canon, RK-F1, and U.S.A). The distance from center of the pupil to the visual axis on the autorefractometer front monitor image (AR-FMI) was measured using Image J software (http://rsbweb.nih.gov/ij). Sixty eyes of 30 subjects were evaluated using the Lens-star 900 (Haag-Streit AG, Koeniz, Switzerland) and Lens-star 900 angle k values were compared with autorefractometer measurements to analyze reliability of the method. Factors that may influence the angle-k value were analyzed. Additionally, an AR-FMI angle-k grading scale was developed and presented in the study.
Results: The mean AR-FMI angle-k was 0.41±22 mm and Lens-star 900 angle-k was 0.38±24 mm, respectively. Pearson correlation test was used to analyze the test reliability and there was statistically significant positive correlation among the two methods (r: 0.628, p<0.001). The mean AR-FMI angle-k was higher at old and adult subjects when compared with young subjects, and the difference was statistically significant (p:0.02 and p:0.04, respectively). According to the AR-FMI analyzes, old subjects had narrow and nasally decentralized pupils when compared with young subjects and differences were statistically significant (p<0.00 and p<0.03, respectively). According to the AR-FMI angle kappa grading scale; 36.1% of subjects was grade 1, 38.3 % was grade 2 in x coordinate, and 58.5% was grade 1 in y coordinate.
Conclusion: A novel method to evaluate the angle-k and the factors influencing the angle-k were described in the current study. According to the results, angle-k can be measured using an easily evaluable, cost-effective device which is present in every ophthalmic clinic and a grading scale may be useful to analyze the angle-k and pupillary properties.
Regional Differences and Convergence Characteristics of Urban Ecological Efficiency in the Yangtze River Economic Belt, China
Authors: Wang YaNan , Su MingMing 
Published: December 2022

Abstract
A scientific understanding of the regional differences and convergence characteristics of urban ecological efficiency (UEE) is critical in realizing sustainable green regional development. This study investigated regional differences, evolution trends, and the convergence characteristics of UEE based on panel data on urban administrative units in the Yangtze River economic belt (YREB) from 2004 to 2018, using the super efficiency slacks-based measure(SBM)model, spatial econometric models, and spatial convergence models. Our results include three main findings. First, over the past 14 years, the average value of UEE in the YREB has shown a fluctuating downward trend, with a cumulative decrease of 12.9%. From a zoning perspective, UEE changes from high to low from downstream, to midstream, and upstream regions. Second, UEE in the YREB does not exist in the σ convergence, while the annual difference in UEE increased, with there being significant absolute β convergence as a whole. Third, driven by population scale, economic development level, land urbanization rate, transportation development level, industrial structure, and the level of economic opening, there was significant conditional β convergence for UEE in the YREB; however, the convergence rate of each section was significantly different. In future, the government should hasten the construction of an efficient and fast transportation network, selectively introduce foreign funds, and make use of the spillover effect to improve UEE in order to realize sustainable green development in the YREB.
Sulfamic acid catalyzed facile synthesis of Arylmethyleneisoxazolone derivatives
Authors: Boureghda Chaima , Boulcina Raouf , Harchouche Sihem , Zerrouk Roumeila , Debache Abdelmadjid 
Published: December 2022

Abstract
Graphical Abstract Abstract The ixoxazolone derivatives have biological properties such as fungicide and herbicide and pharmacological activities such as anti-tumor, antimicrobial, antiviral and muscle relaxants. They are also used for the treatment of cerebrovascular disorders and as muscle relaxants. For these reasons, we propose a new, highly efficient method for the synthesis of 3-methyl-4-arylmethylidene-isoxazol-5 (4H)-ones by a three-component reaction between aromatic aldehydes, ethyl acetoacetate and hydroxylamine hydrochloride, catalyzed by sulfamic acid as inexpensive catalyst, commercially available and easy to handle.
The impact of mindful learning on subjective and psychological well-being in postgraduate students
Authors: Wang Qing , Zhang Yuanyuan , Zhang Ying , Chen Tingwei 
Published: December 2022

Abstract

Mindful learning is widely known to improve learning outcomes, yet its association with students’ well-being remains unexplored. This study aimed to investigate the impact of mindful learning on subjective well-being (SWB) and psychological well-being (PWB) in postgraduate students, using survey questionnaires and a randomized experimental design. In Study 1, correlation and regression analyses based on 236 postgraduate students revealed significant positive associations among mindful learning, SWB, and PWB. In Study 2, 54 students were randomly assigned to three groups: the experimental (which received Mindful Learning Coaching), active-, and blank control groups. The results from repeated-measures ANOVA showed that coaching significantly improved students’ mindful learning. The participants’ SWB and PWB significantly decreased in both the active- and blank control groups, whilst their SWB and PWB tended to increase in the experimental group. In conclusion, mindful learning, SWB, and PWB are significantly correlated, while the enhancement of mindful learning may be a protective factor in students’ well-being.
Everyone matters: a new h-type index as an educational performance evaluation metric
Authors: Hou Nai-Ming 
Published: December 2022

Abstract
In view of the limitations of taking the average as the overall evaluation of a group and inspired by the popular idea of the h index in bibliometrics, this paper proposes a new h-type index called h-efficiency index (HEI) for educational performance evaluation. The definition of the proposed h-efficiency index (HEI) is as follows: among the scores of n objects, if at most E% of all the n scores is no less than E% of the full score, then the HEI will be E%. Using some class course examination scores as an example, the new index is compared to the commonly applied average and median scores. The results show that the HEI is easy to compute, and it not only considers the overall score but also includes the number of objects covered by a score level. A study on the science performance of 11 parallel classes in a senior high school also shows that the HEI has a better correlation with the comprehensive evaluation results of teaching quality than the average and median. Compared to the average and median, the HEI can provide different information for overall test score evaluations. HEI may provide a useful and alternative index for educational performance evaluation.
Evaluation of the Cultural-Touristic Quality of the Network of Geographical Axes in the Romania Case Study: Bistrița-Năsăud County
Authors: Tătar Marius Alexandru 
Published: December 2022

Abstract

Cultural tourism is the idea that the cultural perception of a place has enough value to make it a travel destination. Communities characterized by a high level of cultural development are usually associated with a high level of satisfaction with living conditions and affluence. Religious tourism is that type of tourism that aims to visit religious buildings with spiritual implications. The notion of religion has developed from an understanding of the motivations of tourists. Religious tourism is part of cultural tourism, and a religious tourism package generally includes visits to churches and monasteries. In this research, we postulate that the creation and development of cultural attractions of a place to attract tourists also positively impact the living conditions of the local community, not only by increasing the availability of money but also by a change in the mentality of the inhabitants. This paper evaluates the development of the cultural axis by developing a cultural tourism indicator. The cultural tourism indicator aims to transform the county to promote cultural tourism by analyzing the level of development of cultural tourism infrastructure in the cultural axis of wooden churches Budurleni-Bungard-Cormaia. By comparing the cultural tourist systems of the cultural tourist axis of Bistrița-Năsăud County, a mathematical Evaluation Indicator and a chromatic system were developed to indicate through a table the qualitative value of the cultural tourist objectives of the geographic axes. With the evaluation of the axis that forms the basis of the research of the Cultural Tourism Axes, it is assigned a label of tourist and architectural quality value. Through the Structural Analysis, the Cultural Axes support the development of cultural products at the European level.
CENPE is a potentially key molecular biomarker and potential therapeutic target for lung adenocarcinoma
Authors: Chen Yu , Luo Wenwu , Ning Guangyao , Jiang Menglong , Zhang Renquan 
Published: December 2022

Abstract
Background: The development of tumors is accompanied by abnormal cell proliferation. Centromere-associated Protein E (CENPE) is involved in the controlling cell proliferation in tumor, but its function in non-small cell lung cancer (NSCLC) is still unclear.
Methods: Through TCGA and GEO database analysis and clinical specimen staining to analyze CENPE expression and immune cells infiltration.
Results: we found that CENPE was highly expressed in lung adenocarcinomas and associated with poor prognosis. Further studies revealed that smoking and TP53 mutation were involved in the regulation of CENPE expression in cancer cells. The high expression of CENPE in tumor cells is involved in the regulation of the composition of tumor microenvironment cells and mainly promotes the infiltration of immunosuppressive cells MDSC, which may boost the progression of lung adenocarcinoma by inhibiting immune function.
Conclusions: Therefore, CENPE can be used as a potential therapeutic target for lung adenocarcinoma.
Assessment of Sector Bond, Equity indices and Green Bond Index using information theory quantifiers and clusters techniques
Authors: Fernandes Leonardo H S , de Araujo Fernando H. A. , Silva José W. L. , Filho Marcos C. M. , Tabak Benjamin Miranda 
Published: December 2022

Abstract
Green bonds are financial assets similar to classic debt securities used to finance sustainable investments. Given this, they are a long-term investment alternative that effectively contributes to the planet’s future by preserving the environment and encouraging sustainable development. This research encompasses a rich dataset of equity and bond sectors, general indices, and the S&P Green Bond Index. We estimate the permutation entropy Hs, an appropriate statistical complexity measure Cs, and Fisher Information measure Fs. Therefore, we employ these complexity measures to construct two 2D maps, the Complexity-entropy causality plane (Hs x Cs) and the Shannon-Fisher causality plane (Hs x Fs). Also, we use the information theory quantifiers to rank these indices’ efficiency analogous to the complexity hierarchy. From a mathematical point of view, the CECP is a map that considers the global analysis, while the SFCP is a map that simultaneously feels the global and local analysis. Our findings reveal that both 2D maps indicated the most efficient (b_info_tech) and least efficient (b_energy) asset. There are peculiarities in the ranking performed considering the information theory quantifiers used to build each map due to the mathematical distinction that underlies the construction of each map. Moreover, we applied two clustering approaches (K-means and Hierarchical cluster) that categorically converged in the indication of four distinct groups, which allowed us to verify that, in an overview, equities present a unique dynamic when compared to bonds and the Green bond index.