bluuebunny/crossref_metadata_2025 huggingface dataset:
The Study on the Influence of Green Inclusive Leadership on Employee Green Behaviour
Authors: Quan Dongmei , Tian Leyao , Qiu Wenqi
Published: October 2022

As a result of the implementation of the “double carbon” strategy, the issue of how to encourage green behaviour has become a prominent one in society. According to the cognitive‐affective processing system theory, this study constructs two paths through which green inclusive leadership influences employee green behaviours: the cognitive pathway mediated by pro‐environmental goals clarity and the affective way mediated by green organization identification. Data analysis of 372 employees in chemical enterprises reveals that first, employees’ perception of green inclusive leadership positively affects employee green behaviour; second, green inclusive leadership enhances employee awareness of environmental goals and green organization identification so that employees are more likely to behave environmentally; furthermore, green HRM practices positively moderate the relationship between green inclusive leadership and pro‐environmental goals clarity, as well as positively moderate the relationship between green inclusive leadership and green organization identification. This study aims to provide theoretical and practical insight into how to promote the green development of organizations from the perspective of leadership style to facilitate green development.
Innovative Economic Development Path Using Double-Cycle New Pattern Data Discovery for Industrial Internet of Things
Authors: Zhang Yankun
Published: October 2022

The use of smart sensors and actuators to improve industrial and manufacturing processes is known as the industrial internet of things (IIoT). Innovative economic growth is one of the key elements required for the success of IIoT in contemporary industry. Innovation in IIoT is essential for fostering high-quality economic growth and achieving a competitive edge. This study aims to conduct in-depth research on the development path of an innovative economy based on data mining under the new pattern of double circulation in order to enhance industrial innovation capability, realize the modernization of the industrial chain, and accelerate the development of industrial innovation in IIoT. The first step is to use the five urban agglomerations for path analysis of innovative economic development. The five metropolitan agglomerations’ pertinent facts are provided, and their industrial structure’s composition and proportion as well as the input and output of innovation are all examined. We then constructed a model for analyzing the link between technological innovation and economic growth. The investigation of the innovative economic development path based on data mining is achieved using the Microsoft time series technique and the expectation-maximization algorithm to examine the data of innovative economic development. The experiment demonstrates that the method proposed in this study has strong data mining stability and ideal data clustering advantages. In IIoT, it can be used to effectively increase data mining’s efficiency and innovation capacity for the growth of a knowledge-based economy and creating a new pattern in which innovation and market growth are mutually reinforcing.
Neutrophil to Lymphocyte Ratio as a Biomarker for Predicting the Coronary Artery Abnormality in Kawasaki Disease: A Meta-Analysis
Authors: Sarejloo Shirin , Shahri Matin Moallem , Azami Pouria , Clark Alec , Hass Ethan , Salimi Maryam , Lucke-Wold Brandon , Sadeghvand Shahram , Khanzadeh Shokoufeh
Published: October 2022

We conducted a systematic review and meta-analysis on the relationship between the neutrophil to lymphocyte ratio (NLR) and coronary artery abnormalities (CAA) in patients with Kawasaki disease (KD), according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statements. We searched PubMed, Scopus, Web of Science, Embase, TRIP, Google Scholar, and ProQuest up to the 8th of August 2022. This was done to retrieve eligible studies. No date or language limitations were considered in this study. Methodology quality assessment was conducted according to the Newcastle–Ottawa scale (NOS). Standard mean difference (SMD) and its 95% confidence interval (CI) were used to depict the pooled continuous variables. Finally, 17 articles with 6334 KD patients, of whom 1328 developed CAA, were enrolled in this meta-analysis. NLR level was significantly higher in KD patients with CAA compared to those without CAA (SMD =0.81; 95% CI =0.05–1.57,P=0.03). In addition, NLR level was significantly higher in patients with coronary artery aneurysms than those without coronary artery aneurysms (SMD =2.29; 95% CI =0.18–4.41,P=0.03). However, no significant association between NLR and coronary artery dilation was observed in this meta-analysis (SMD =0.56; 95% CI = -0.86–1.99). There was no publication bias for the pooled SMD of NLR for coronary artery abnormality in KD (Egger’s testP=0.82; Begg’s testP=0.32). The NLR may be useful in monitoring CAA development in these patients and may further imply a mechanistic role in potential inflammation that mediates this process.
Comparison of the Applicability of Two Reanalysis Products in Estimating Tall Tower Wind Based on Multiple Linear Regression and Artificial Neural Network in South China
Authors: Li Xiangxiang , Qin Xiaochen , Yang Jun , Xu Weiming
Published: October 2022

Climate reanalysis products have been widely used to overcome the absence of high-quality and long-term observational records for wind energy users. In this study, the applicability of two popular reanalysis datasets (ERA5 and MERRA2) in estimating wind characteristics for four tall tower observatories (TTOs) in South China was assessed. For each TTO, linear and nonlinear downscaling techniques, namely, multiple linear regression (MLR) and an artificial neural network (ANN), respectively, were adopted for the downscaling of the scalar wind speed and the corresponding U/V components. The downscaled wind speed and U/V components were subsequently compared with the TTO observations by correlation coefficient (Pearson’s r), the root mean square error (RMSE), the uncertainty analysis (U95), and the reliability analysis (RE). According to the results, ERA5 had a better applicability (higher Pearson’s r and RE, but lower RMSE and U95) in estimating TTO wind speed than MERRA2 when using both the MLR and ANN downscaling method. The average Pearson’s r, RE, RMSE, and U95 of the downscaled wind from ERA5 by the MLR (ANN) method were 0.66 (0.69), 40.8% (41.8%), 2.20 m/s (2.11 m/s), 0.181 m/s (0.179 m/s), respectively, and 0.60 (0.63), 38.0% (39.7%), 2.32 m/s (2.25 m/s), 0.189 m/s (0.187 m/s), respectively, for MERRA2. The wind components analysis showed that the better performance of ERA5 was attributed to its smaller error in estimating V component than MERRA2. For the wind direction, the two reanalysis datasets did not display distinct differences. Additionally, the misalignment of the wind direction between the reanalysis products and the TTOs was higher for the secondary predominant wind direction (SPWD) than for the predominant wind direction (PWD). Furthermore, we found that the reanalysis U wind had a higher RMSE but a lower RE and Pearson’s r than the V wind, which indicates that the misalignment in the wind direction was mainly associated with the deviation in the U component.
Influence of Prehospital Emergency Care on Rescue Success Rate and Complication Rate of Senile Patients with Acute Myocardial Infarction
Authors: Zhang Yingchao , Huang Lili , Zhou Xuehong
Published: October 2022

Objective. This research mainly discusses the influence of prehospital emergency care (PHEC) on the rescue success rate and complication rate of senile patients with acute myocardial infarction (AMI). Methods. We selected 200 senile AMI patients who visited between January 2019 and January 2021, and retrospectively analyzed their clinical data. According to the differences in nursing methods, the patients were assigned to control group (

n
=
90

) and observation group (

n
=
110

), which were treated with routine nursing and PHEC, respectively. Intergroup comparisons were made in terms of rescue success rate, nursing efficacy, clinical parameters and complication rate. Results. After investigation, the nursing efficacy was higher in the observation group compared with the control group. Additionally, the observation group was observed with statistically shorter time to thrombolysis and hospital stay, as well as evidently lower mortality and complication rates. Conclusion. The above demonstrates that PHEC can effectively improve the rescue success rate and rescue efficacy, and facilitate the recovery of senile AMI patients, with a low complication rate compared with the routine care, which plays an important role in ensuring patients’ life safety and is worth popularizing clinically.
A Machine Learning Approach Using XGBoost Predicts Lung Metastasis in Patients with Ovarian Cancer
Authors: Yuan Yufei , Wang Ruoran , Luo Mingyue , Zhang Yidan , Guo Fanfan , Bai Guiqin , Yang Yang , JingZhao
Published: October 2022

Background. Liver metastasis (LM) is an independent risk factor that affects the prognosis of patients with ovarian cancer; however, there is still a lack of prediction. This study developed a limit gradient enhancement (XGBoost) to predict the risk of lung metastasis in newly diagnosed patients with ovarian cancer, thereby improving prediction efficiency. Patients and Methods. Data of patients diagnosed with ovarian cancer in the Surveillance, Epidemiology, and Final Results (SEER) database from 2010 to 2015 were retrospectively collected. The XGBoost algorithm was used to establish a lung metastasis model for patients with ovarian cancer. The performance of the predictive model was tested by the area under the curve (AUC) of the receiver operating characteristic curve (ROC). Results. The results of the XGBoost algorithm showed that the top five important factors were age, laterality, histological type, grade, and marital status. XGBoost showed good discriminative ability, with an AUC of 0.843. Accuracy, sensitivity, and specificity were 0.982, 1.000, and 0.686, respectively. Conclusion. This study is the first to develop a machine‐learning‐based prediction model for lung metastasis in patients with ovarian cancer. The prediction model based on the XGBoost algorithm has a higher accuracy rate than traditional logistic regression and can be used to predict the risk of lung metastasis in newly diagnosed patients with ovarian cancer.
Analysis of the Influence of Innovative Teaching Management Mode in Universities on Students’ One-to-One Training and Psychotherapy
Authors: Zhang Wenwen
Published: October 2022

Objective. This study expects to investigate and verify the intervention effect of the university’s innovative teaching management model on college students’ resilience by implementing the university’s innovative teaching management model for college students with low psychological resilience. Method. The scientific scale is used to investigate the current level of college students’ psychological resilience, and the development characteristics of college students’ psychological resilience are obtained through statistical analysis. Based on the theoretical analysis of the application of psychological resilience intervention, combined with the theory of one-to-one tutoring and operational techniques, the university’s innovative teaching management mode scheme is designed. The design adopts a quasi-experimental pre-experimental test to investigate and explore the intervention effect system of the university’s innovative teaching management mode on college students’ psychological resilience. In the intervention, each unit of activity is carried out in strict accordance with the established plan, and records and reflections are made at the end. One-to-one and face-to-face qualitative interviews were conducted with the subjects, and qualitative data were collected for qualitative analysis. Results/Discussion. Compared with the control group that did not receive the intervention, the psychological resilience of the subjects in the experimental group was significantly improved after receiving the intervention of the university’s innovative teaching management model. The university’s innovative teaching management model has a good intervention effect on the resilience of college students. The university’s innovative teaching management model scheme compiled in this study integrates a variety of psychotherapy methods and combines one-to-one psychological counseling frameworks and techniques. It is an effective and easy-to-implement intervention scheme for college students’ psychological resilience intervention.
Research on Domain-Specific Knowledge Graph Based on the RoBERTa-wwm-ext Pretraining Model
Authors: Liu Xingli , Zhao Wei , Ma Haiqun
Published: October 2022

The purpose of this study is to solve the effective way of domain-specific knowledge graph construction from information to knowledge. We propose the deep learning algorithm to extract entities and relationship from open-source intelligence by the RoBERTa-wwm-ext pretraining model and a knowledge fusion framework based on the longest common attribute entity alignment technology and bring in different text similarity algorithms and classification algorithms for verification. The experimental research showed that the named entity recognition model using the RoBERTa-wwm-ext pretrained model achieves the best results in terms of recall rate and F1 value, first, and the F value of RoBERTa-wwm-ext + BiLSTM + CRF reached up to 83.07%. Second, the RoBERTa-wwm-ext relationship extraction model has achieved the best results; compared with the relation extraction model based on recurrent neural network, it is improved by about 20%∼30%. Finally, the entity alignment algorithm based on the attribute similarity of the longest common subsequence has achieved the best results on the whole. The findings of this study provide an effective way to complete knowledge graph construction in domain-specific texts. The research serves as a first step for future research, for example, domain-specific intelligent Q&A.
Research on the Prediction of Nonbreakeven Financial Products’ Yield of Commercial Banks Based on Machine Learning
Authors: Tong Xiaoli , Duan Jiangjiao
Published: October 2022

Bank wealth management solutions have now become one of the most important components of the financial industry after nearly two decades of continuous development. However, there are still problems such as an imperfect pricing model and an ambiguous pricing mechanism. In this paper, we use machine learning to predict the yield of nonguaranteed financial products, and after model training and prediction, both the random forest model and the LightGBM model have high applicability; that is, machine learning can be effectively used in the yield forecasting process.
Deconstruction of the Innovation Path of Digital Transformation Based on Network Big Data Security in the Context of Smart City
Authors: Chen Tang , Chen Pengyu , Chen Guang
Published: October 2022

Digital transformation means that traditional enterprises have combined commerce, administration, and manufacturing with cloud services, the use of big data, and the web to advance the modern transformation of their research and development, creation, manufacturing and assembly, administration of operations, commercial support, and more tasks. Digital transformation showed that only companies can radically and completely (or substantially and completely) redefine their business—not just IT but all aspects of organizational activities, processes, business models, and employee capabilities. Only then can success be achieved. This paper aimed to study the innovative path of digital transformation and propose a network-based big data security method. Combined with the experimental analysis, it was concluded that using network big data security to monitor computer and network security (CNS), the attack detection accuracy rate is up to 99.8%. It can be seen that this method can accurately capture the shortcomings and leaks in the process of digital transformation, help achieve targeted path innovation, and improve the technological improvement and asset income growth of enterprises in the context of smart cities.
Hardware Optimization and System Design of Elliptic Curve Encryption Algorithm Based on FPGA
Authors: Li Jiakun , Gao Wei
Published: October 2022

Since entering the era of big data, the degree of information sharing is getting higher and higher; the information exchange is becoming more and more convenient, but at the same time, personal information is also easy to be exposed to the network environment, if it is used by criminals to lead to information leakage, and then bring certain risks. Therefore, it is in the information age and do a good job of network information security and confidentiality. At present, the security and secrecy of network information are mainly realized by cryptography. Public key cryptography can encrypt information and ensure the security of information transmission, so it is widely used in the contemporary society. At present, elliptic curve encryption is highly respected in the research field of public key cryptosystem. Elliptic curve encryption is divided into two main points, multiplication and inversion, respectively. Through the comparison of these two algorithms, it can be found that there are several choices if the main research objective is to save time, and the Euclidean extension method is mainly discussed in this paper. In other words, more efficient algorithms are used in the hardware implementation process, and a variety of algorithms can be used instead of a single curve algorithm. In this process, we can find the special features of upper level operation and bottom level finite operation. The upper level operation is KP operation, while the bottom level operation is fast calculation of four kinds of

K

in finite field operation, and finally realize FPGA algorithm. With the help of Quartus ii developed by predecessors, the upper and lower operations of elliptic curve are carried out using VHDL language. Combined ANXIX9.62 in the elliptic curve of each module to test, so as to ensure the accuracy of the data, reduces the error. According to the test results, the designed chip can efficiently complete the elliptic curve encryption system in the whole process. And the average KP operation time can reach 15.15 ms at 20 MHz frequency. At the same time, the chip can complete the operation on ECC public key with any variable curve in

F

domain less than 256. Therefore, this chip is a high-speed elliptic curve cryptographic chip with optional system parameters. Based on this, this article on the elliptic curve encryption algorithm based on FPGA hardware implementation of system design, from the view of mathematical study analysis, was carried out on the elliptic curve cryptosystem, according to the above two big difficulty, namely, the polynomial of GF(2), the finite field multiplication, and inversion; there will be a detailed studies of discussion, through software comparison to find the differences between different software, especially the software implementation performance level. In addition, it will also focus on the design of elliptic curve algorithm PGA, so as to explore the solution of the algorithm hardware.
Molecular Characterization of Wild and Cultivated Strawberry (Fragaria × ananassa) through DNA Barcode Markers
Authors: Qarni Awais , Muhammad Khushi , Wahab Abdul , Ali Amir , Khizar Chandni , Ullah Izhar , Kazmi Abeer , Sultana Tahira , Hameed Asma , Younas Muhammad , Rahimi Mehdi
Published: October 2022

Background. DNA barcoding is a useful technique for the identification, conservation, and diversity estimation at the species level in plants. The current research work was carried out to characterize selected Fragaria species from northern Pakistan using DNA barcode markers. Methodology. Initially, the efficacy of eight DNA barcode markers was analyzed based on the amplification and sequencing of the genome of selected Fragaria species. The resultant sequences were analyzed using BLAST, MEGA 7.0, and Bio Edit software. The phylogenetic tree was constructed by using Fragaria current species sequences and reference sequences through the neighbor-joining method or maximum likelihood method. Results. Among eight DNA barcode markers, only two (ITS2 and rbclC) were amplified, and sequences were obtained. ITS2 sequence was BLAST in NCBI for related reference species which ranged from 89.79% to 90.05% along with Fragaria vesca (AF163517.1) which have 99.05% identity. Similarly, the rbclC sequence of Fragaria species was ranged from 96% to 99.58% along with Fragaria × ananassa (KY358226.1) which had 99.58% identity. Conclusion. It is recommended that DNA barcode markers are a useful tool to identify the genetic diversity of a species. Moreover, this study could be helpful for the identification of the Fragaria species cultivated in other regions of the world.
Factors Analysis of the Compliance Rate of Hypertension Detection Control and Self-Assessment Control in Community Outpatient Clinics
Authors: Chen Zhigao , Xiong Rui
Published: October 2022

Objective. To understand the related influencing factors of outpatient hypertension detection and control and self-test control compliance rate. Methods. A total of 637 hypertensive patients who visited the outpatient clinic of our hospital from January 2021 to December 2021 were selected for investigation and research, and the relevant information such as blood pressure, treatment detection, and other related information of the patients were counted, and the detection and control of outpatient hypertension were explored through regression analysis and the related factors of the self-test control compliance rate. Results. There was no statistically significant difference in the number of patients who met the standard or not under the gender difference (P > 0.05), and it can be found that there was no statistically significant difference in the age of patients who met the standard and those who did not (P > 0.05). The proportion of patients with self-test hypertension control at home was 64.68%, and the compliance rate of self-test blood pressure was 42.54%. The compliance rate of blood pressure control in outpatient testing was 61.85%. Heart rate, exercise, smoking, medication compliance, and other factors are important factors affecting the control of hypertension. Knowing hypertension-related knowledge, regular follow-up, office blood pressure compliance, smoking, excessive salt intake, and hypertension complications are important factors affecting the self-test control of hypertension in the family. Conclusion. By urging patients to do daily physical exercise, admonishing patients to quit smoking, and improving patients’ medication compliance, the control rate of hypertension in outpatient clinics can be effectively improved. Understanding the knowledge of hypertension, controlling the salt content in the diet, and receiving regular follow-up surveys from doctors can effectively improve the effect of self-measurement and control of blood pressure at home and further improve the control rate of hypertension.
A Method for Extracting Building Information from Remote Sensing Images Based on Deep Learning
Authors: Li Lianying , Chen Xi , Li Lianchao
Published: October 2022

Semantic segmentation of remote sensing images is an important issue in remote sensing tasks. Existing algorithms can extract information more accurately, but it is difficult to capture the contours of objects and further reveal the interaction information between different objects in the image. Therefore, a deep learning-based method for extracting building information from remote sensing images is proposed. First, the deep learning semantic segmentation model DeepLabv3+ and Mixconv2d are combined, and convolution kernels of different sizes are used for feature recognition. Then, the regularization method based on Rdrop Loss improves the accuracy and efficiency of contour capture for objects of different resolutions, and at the same time improves the consistency of dataset fitting. Finally, the proposed remote sensing image information extraction method is verified based on the self-built dataset. The experimental results show that the proposed algorithm can effectively improve the algorithm efficiency and result accuracy, and has good segmentation performance.
IGF1R Inhibition Enhances the Therapeutic Effects of Gq/11 Inhibition in Metastatic Uveal Melanoma Progression
Authors: Lapadula Dominic , Lam Bao , Terai Mizue , Sugase Takahito , Tanaka Ryota , Farias Eduardo , Kadamb Rama , Lopez-Anton Melisa , Heine Christian C. , Modasia Bhavik , Aguirre-Ghiso Julio A. , Aplin Andrew E. , Sato Takami , Benovic Jeffrey L.
Published: October 2022

Uveal melanoma (UM) is the most common intraocular tumor in adults, and up to 50% of patients develop metastatic disease, which remains uncurable. Because patients with metastatic UM have an average survival of less than 1 year after diagnosis, there is an urgent need to develop new treatment strategies. Although activating mutations in Gαq or Gα11 proteins are major drivers of pathogenesis, the therapeutic intervention of downstream Gαq/11 targets has been unsuccessful in treating UM, possibly due to alternative signaling pathways and/or resistance mechanisms. Activation of the insulin-like growth factor 1 (IGF1) signaling pathway promotes cell growth, metastasis, and drug resistance in many types of cancers, including UM, where expression of the IGF1 receptor (IGF1R) correlates with a poor prognosis. In this article, we show that direct inhibition of Gαq/11 by the cyclic depsipeptide YM-254890 in combination with inhibition of IGF1R by linsitinib cooperatively inhibits downstream signaling and proliferation of UM cells. We further demonstrate that a 2-week combination treatment of 0.3 to 0.4 mg/kg of YM-254890 administered by intraperitoneal injection and 25 to 40 mg/kg linsitinib administered by oral gavage effectively inhibits the growth of metastatic UM tumors in immunodeficient NOD scid gamma (NSG) mice and identifies the IGF1 pathway as a potential resistance mechanism in response to Gαq/11 inhibition in UM. These data suggest that the combination of Gαq/11 and IGF1R inhibition provides a promising therapeutic strategy to treat metastatic UM.
Local Allergic Rhinitis: Lights and Shadows of a Mysterious Entity
Authors: Melone Giulio , Giorgis Veronica , Di Pino Marina , Pelaia Corrado , Nappi Emanuele , Heffler Enrico , Landi Massimo , Gelardi Matteo , Paoletti Giovanni
Published: October 2022

Local allergic rhinitis (LAR) is, to date, a debated and complex entity, still orphan of global consideration and a multicentric approach. LAR does not seem to find a proper positioning in the classic classifications and phenotypes of chronic rhinitis, and its pathophysiology relies specifically on the presence of local IgE. These patients in fact have a suggestive clinical history of allergic rhinitis in the presence of negative skin prick tests and serum IgE tests for the suspect allergen. Nasal allergen challenge, assessment of local IgE, basophil activation test (BAT), and nasal cytology are, at the moment, the most used tests in the diagnostic approach to the disease, despite their limitations. Considering that the correct interpretation of diagnostic tests and their clinical relevance is fundamental in the assessment of the right diagnosis and the subsequent therapy, we propose a new diagnostic approach that encompasses all of these methodologies and suggest that several pragmatic randomized control trials as well as prospective, multicentric studies directed at the long-term follow-up of LAR be carried out to further investigate this debated entity.
A Case Series of Aggressive Orbital Plasmacytomas
Authors: Permaisuari Nizma , Anggraini Neni , Mahyuddin Mutmainah , Kodrat Evelina , Rajabto Wulyo
Published: October 2022

Purpose: Orbital plasmacytoma is a tumor of plasma cells located in the orbit, which is uncommon and only accounts for less than 1% of total orbital tumors. Sixty-five percent of orbital plasmacytoma are carrying a diagnosis of multiple myeloma. We hereby present two aggressive orbital plasmacytoma cases, a rare orbital malignancy with unsatisfactory outcomes. Methods: This is a series of two orbital plasmacytoma cases. Both initial complaints were unilateral rapid onset of non-axial proptosis with palpable mass in the superior orbit. The first case was IgA-type multiple myeloma with multiple secondary plasmacytomas diagnosed based on systemic evaluation showing hyperproteinemia, IgA level elevation with free κ-light chains, and multiple destructive osteolytic lesions. The second patient unfortunately died before systemic evaluation was carried out. Results: Both patients died less than 2 months after diagnosis, underscoring a very poor prognosis. It is important to perform systemic evaluation and appropriate treatment immediately once the diagnosis has been established. Conclusions: Orbital plasmacytoma is a rare orbital malignancy and is commonly secondary to systemic multiple myeloma. Ophthalmologists should have a high index of suspicion as it has a nonspecific presentation and consider it as one of the differential diagnoses in orbital tumors.
Behavioral and Transcriptional Effects of Short or Prolonged Fasting on the Memory Performances of Lymnaea stagnalis
Authors: Rivi Veronica , Benatti Cristina , Actis Pietro , Tascedda Fabio , Blom Johanna Maria Catharina
Published: October 2022

Introduction: The Garcia effect, a solid learning paradigm, was used to investigate the molecular and behavioral effects induced by different lengths of fasting on the cognitive functions in the pond snail Lymnaea stagnalis, a valid model system. Methods: Three experimental groups were used: moderately hungry snails, food-deprived for 1 day (D1 snails), severely hungry snails (D5 snails), fasting for 5 days, and satiated snails with ad libitum access to food (AL snails). In the Garcia effect, a single pairing of an appetitive stimulus with a heat stressor results in a learned taste-specific negative hedonic shift. D5 snails were injected with bovine insulin and D1 snails with the insulin receptor antibody (Ab). As a control group, AL snails were injected with saline. Gene expression analyses were performed by real-time PCR in snails’ central nervous system (CNS). Results: AL snails are “average learners,” D1 snails are the best performers, whereas the D5 ones do not show the Garcia effect. Severely fasting snails injected with insulin 3 h before the training procedure show the Garcia effect, whereas injecting 1-day fasting snails with insulin receptor Ab blocks their ability to express memory. The differences in memory performances are associated with changes in the expression levels of selected targets involved in neuronal plasticity, energy homeostasis, and stress response. Discussion: Our results suggest that short-term fasting creates an optimal internal state in L. stagnalis’ CNS, allowing a spike in insulin release and an upregulation of genes involved in neuroplasticity. Long-term fasting, instead, upregulates genes involved in energy homeostasis and animal survival.
Palavras e encantos femininos para uma pedagogia decolonial griô
Authors: Jesus Silvania Francisca de
Published: October 2022

O presente artigo tem como objetivo apresentar o início de um estudo sobre mulheres mestras de tradição oral e sua relevância na construção de uma Pedagogia Decolonial Griô. A Pedagogia Griô através de diferentes práticas educacionais, anima e resgata os saberes ancestrais, com uma metodologia voltada para o encantamento e vivências de rituais de vínculos. Esta pesquisa antropológica de abordagem qualitativa busca problematizar o saber oral feminino, o saber corporal, reconhecendo seu lugar político e social. Quem são e como são reconhecidas as figuras femininas como mestres de tradição oral em seus espaços de ação? Priorizo apresentar o significado de mulheres mestras, sábias e ativas em sua comunidade e faço uma indicação sobre a dimensão poética, com força transformadora, no cotidiano dos cuidados da vida, nas cantigas e contos, como também no projeto histórico.
My Exposure to Violence: tradução e adaptação transcultural para o português brasileiro
Authors: Carvalho Marcos Clint Leal de , Macena Raimunda Hermelinda Maia
Published: October 2022

OBJETIVO Traduzir e adaptar para português brasileiro o instrumento de aferição de exposição à violência comunitária, My Exposure to Violence. MÉTODOS Estudo psicométrico de tradução e adaptação transcultural em sete etapas: (I) traduções iniciais, (II) síntese das traduções, (III) retrotraduções, (IV) pré-adaptação transcultural, (V) avaliação por comitê de juízes, (VI) pré-teste e (VII) submissão ao autor original. Na etapa V oito juízes avaliaram a equivalência de conteúdo do instrumento, sendo calculado o índice de validade de conteúdo para cada item (IVC-I) e para a média do instrumento (IVC-M), considerando-se um IVC-I ≥ 0,78 como excelente e um IVC-M ≥ 0,80 como aceitável e ≥ 0,90 como excelente. O pré-teste foi realizado com 39 adolescentes matriculados em uma instituição de ensino em Fortaleza, no Ceará, sendo avaliada a compreensibilidade dos itens. RESULTADOS Na etapa I, duas traduções foram produzidas, com poucas diferenças entre si. Estas foram dirimidas na etapa II, gerando a versão síntese (T12). Na etapa III, os itens retrotraduzidos refletiram o mesmo conteúdo dos itens da versão original. Na etapa IV, ocorreu a revisão de T12 pelos autores, que realizaram modificações linguísticas específicas, de modo a facilitar o entendimento. Na etapa V, um item (22) apresentou IVC < 0,78. Devido a pertinência das sugestões, 19 dos 23 itens (82,60%) sofreram modificações. O IVC-M do instrumento foi 0,92. Na etapa VI, a média de idade dos participantes foi de 17,48 anos (DP = 1,27). A versão pré-final teve 21 dos 23 itens (91,30%) totalmente compreendidos por mais de 90% dos participantes. Não foram realizadas alterações na versão final. CONCLUSÕES O My Exposure to Violence foi adaptado transculturalmente para o português brasileiro, tendo sido bem compreendido pela população alvo. Outras propriedades psicométricas, como confiabilidade e validade, devem ser avaliadas em estudos posteriores para fortalecer as evidências da versão traduzida e adaptada.
Microfungi associated with ornamental palms: Byssosphaeria phoenicis sp. nov. (Melanommataceae) and Pseudocoleophoma rhapidis sp. nov. (Dictyosporiaceae) from south China
Authors: KULARATHNAGE NUWAN D. , WANASINGHE DHANUSHKA N. , SENANAYAKE INDUNIL C. , YANG YUNHUI , MANAWASINGHE ISHARA S. , PHILLIPS ALAN J.L. , HYDE KEVIN D. , DONG WEI , SONG JIAGE
Published: October 2022

The health and attractiveness of ornamental plants play key role in gardening and horticulture. They affect both the economical and ornamental value of the plants. In this study, we collected and isolated microfungi associated with dead petioles of dwarf date palm and living leaves of lady palm from Zhongkai University Garden, Guangzhou, China. Phylogenetic relationships were investigated based on multi-locus phylogeny of ITS, LSU, SSU and tef-1α sequence data. The morphology of the new collections was compared with all the relevant species. Based on the morphological comparison and multi-locus phylogeny, we introduce Byssosphaeria phoenicis sp. nov. and Pseudocoleophoma rhapidis sp. nov. in Melanommataceae and Dictyosporiaceae, respectively. Detailed descriptions and illustrations are provided with notes discussing allied species in Byssosphaeria and Pseudocoleophoma. Pathogenicity testing of P. rhapidis causing leaf spots on lady palm was proven and Koch’s postulates fulfilled. This is the first phytopathogenic Pseudocoleophoma species. The pathogenicity does not cause dieback, but the leaf spots reduce the aesthetical value of the plants.
A new species of Bauhinia ser. Cansenia (Cercidoideae, Leguminosae) endemic to the Atlantic Forest in the state of Bahia, Brazil
Authors: SANTOS ANTONIO C.B. DOS , QUEIROZ LUCIANO P. DE , PAULA ANTONIO P.O. , CARVALHO REGINALDO DE
Published: October 2022

The genus Bauhinia belongs to the subfamily Cercidoideae (Leguminosae) and includes ca. 230 species with pantropical distribution. Sixty-two species are recorded in Brazil, 20 of which occur in the northeastern Brazilian state of Bahia. The genus is classified in eight sections, with sect. Pauletia being the most diverse. This article describes Bauhinia arleneae, a new species from this section, restricted to the humid forests of the central-eastern region of the state of Bahia. The new species is morphologically similar to B. cinnamomea, with both species sharing entire and elliptical leaves with acuminate apex and flowers paired along the pseudoracemes. B. arleneae differs from B. cinnamomea by the slender and flexuous multi-stemmed shrub or treelet habit, with glabrous leaves with 3 to 5 primary veins and fruit with coriaceous-woody, reticulate valves. We provide a description, illustrations, and a distribution map for the new species.
Lappula deserticola var. longicalyx—a new synonym of Lappula balchaschensis (Boraginaceae)
Authors: LIU DAN-HUI , HE YI , LIU QUAN-RU
Published: October 2022

N/A
Effects of Exogenous Strigolactone on Wheat Grain Filling and Yield Formation in Different Cultivation Densities
Authors: Wang Yanjing , Fang Baoting , Zhang Deqi , Yue Junqin , Yang Cheng , Simeng Du , Yunhui Shao , Wang Hanfang , Jin Haiyang , Li Xiangdong
Published: October 2022

Wheat is one of the main crops in northern China, and drought has been a major problem in wheat cultivation. As a new type of plant hormone, Strigolactone (SLs), its effect on drought resistance of wheat needs to be studied extensively. In this study, the effects of SLs
on the growth and development of wheat from florescence stage to maturity stage were determined by plant physiological and enzyme-linked immunoassay techniques. The results showed that, with the progress of reproductive development, leaf spraying exogenous SLs not only delayed the peak
of ABA content, promoted the increase of IAA and GA content in the early stage, changed the metabolic balance of hormone in leaves, and thus changed the physiological metabolic process. Especially under the condition of high density, the effects of SLs were more obvious. And, with the
change of the blade metabolic balance, its net photosynthetic rate and the level of carbon dioxide fixation increased, and SOD and POD activity enhanced, MDA content decreased, indicating that aging rate of leaves was slowed down and matter accumulation ability enhanced, so as to improve the
filling rate and increase the weight of the mature grain, eventually promoted the yield of wheat. Through the above analysis, it can be seen that exogenous SLs can effectively improve the yield of wheat under high density condition, which provides reliable theoretical and technical
support for its practical application in the field.
Evaluation of Soybean Varieties for Soy Milk Based on Factor and Cluster Analysis
Authors: Sun Zhaoyang , He Bobin , Chen Jiaxing , Wang Xi , Wang Chuanzhi , Qiao Fuqiang , Li Weiyu
Published: October 2022

Soy milk is a widely popular soybean product with many advantages. As its raw material, how the quality indexes of soybean affects the quality of soy milk worth to be investigated. In this experiment, 70 representative soybean varieties were selected, and the physicochemical indexes
were determined. After the soy milk was prepared from each variety, the indicators were measured, with sensory evaluation assisted. In the results, for the soybean varieties, the average 100-grain weight, water absorption rate, protein content was 23.10 g, 132.90% and 39.21%, respectively.
Moreover, the soy milk indexes including the average yield of soybean milk (1.78%), protein content (78.80%), protein transfer rate (26.24%), solid transfer rate (59.33%), and Stickiness (24.07 g) were determined. It was found by correlation analysis that, many of these indexes were correlated.
The Principal component analysis (PCA), cluster analysis and factor analysis showed that, the comprehensive scores of the varieties ‘Xinxuan 88’ and ‘Shenxingdou’ were above 85 points. The quality of soybean varieties is related to the density, yield, sugar content
and viscosity of soybean milk. To sum up, this study provides a reference for soybean germplasm evaluation and the development of soybean products represented by soy milk through the analysis of soybean indexes and the production indexes.
Mechanism of Velvet Antler Peptide in Preventing Mild Cognitive Impairment Based on Non-Targeted Metabolomics
Authors: Xu Huibo , Yang Runze , Liu Yuexin , Wang Jinji , Lan Tianye , Lin Zhe , Zhu Enzhi , Huang Xiaowei
Published: October 2022

Velvet antler peptide (VAP) is one of the main active ingredients in Velvet antler (VA), and its mechanism in preventing mild cognitive impairment (MCI) needs to be further studied. In this research, rats model with MCI was established, non-targeted metabonomics method was performed.
Total 50 wistar rats were divided into: control, model, piracetam (PIR), high- and low-dose VAP groups, and were administered for 18 days. Scopolamine (2 mg/kg) was injected intraperitoneally to establish the MCI rat model. The contents of superoxide dismutase (SOD) and malondialdehyde (MDA)
in rat serum were detected by the enzyme-linked immunosorbent assay (ELISA). The expression of B-cell lymphoma/leukemia-2 (Bcl-2), Bcl-2-associated death promoter (Bad) and Bcl-2-associated X protein (Bax) in hippocampus of rats were detected by Western blot analysis. The brain and kidney
of MCI rats were detected by ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-Q/TOF-MS) metabolomics technology, and the differences of metabolites and the dynamic changes of metabolic pathway were analyzed based on the results of Principal Component
Analysis (PCA) and Orthogonal partial least squares discriminant analysis (OPLS-DA) The correlation analysis of significantly different metabolites was then analyzed by Cluster analysis (CA), and then the differential metabolite pathway enrichment analysis was performed. According to the statistical
analysis of univariate and multivariates, the models constructed between the groups are stable and reliable, the variability and separation trend are good, and there are differences in the metabolomes. In results, VAP increased the content of serum SOD, reduced the content of MDA, increased
the expression level of Bcl-2 and reduced the expression level of Bad and Bax protein in MCI model rats. The relevant potential markers in the brain and kidney of MCI rats mainly included folic acid, acetyl L-carnitine (ALC), Prostaglandin E1 (PGE1), 3′,5′-cyclic-adenosine-monophosphate
(cAMP) and various amino acids. Therefore, VAP could inhibit oxidative stress response, reduce hippocampal neuron apoptosis and protect neurons in MCI rats. Its mechanism may be related to regulating folate and lipid metabolism, cyclic adenosine phosphate energy cycle, amino acid biosynthesis
and renal secretion of sex hormones.
Temperature-Responsive Glycosides for Controlled Release of Decanol Towards Sustainable Disinfect Effect
Authors: Zhang Feng-Mei , Zheng Min-Jie , Xu Yan-Qun , Xu Chun-Ping , Liu Zhi-Hua , Li Zhen-Jie , Tai Zhi-Gang
Published: October 2022

Controlling the release of decanol with temperature is a reliable way to improve the utilization of decanol. In this paper, a temperature-controlling release decyl glycoside was synthesized using method of Koenigs-Knorr acetyl glycoside synthesis. Thereafter, the resultant decyl glycoside
was characterized in terms of thermogravimetric analysis, differential scanning calorimetry and pyrolysis analysis, respectively. Moreover, both the temperature-responsive responsive in vitro release and disinfection activities were also assessed. Finally, the results showed that the
yield of decyl glycoside was 81%, which was higher than that conventional formulation. The decyl glycoside possessed outstanding performance of thermostabilization and controlled release properties with temperature. The release of decanol from decyl glycoside could be well described by mechanism
of the case II transport and fickian diffusion. Disinfect effect studies have shown a positive correlation between long-term disinfection decyl glycosides and temperature-induced changes in release rate. Based on these results, decyl glycoside could improve stability and long-term disinfection
of decanol by controlling temperature, which could be bound to drug, food, and other industry.
Qinglongyi/SA Composite Edible Antibacterial Preservative Film
Authors: Liang Yuqi , Yang Dongsheng , Jiang Tao , Han Weizhao , Jiang Zhen , Lin Jiayin , Yang Huan , Wang Liang
Published: October 2022

To produce a composite edible antibacterial preservative film with active extracts of Qinglongyi. The addition of Qinglongyi ethanol extract, zein, and SA produced a composite edible antibacterial preservative film. Physical, mechanical, antibacterial, and fruit weight loss rates were
tested to determine the best parameter combination. The findings revealed that under the conditions of 80 mg/mL Qinglongyi ethanol extract, 70% zein ethanol aqueous solution, and 45 °C drying temperature, the composite film reduced strawberry weight loss rate to 8.38% for five days, which
was about 5% lower than the control group, while the WVP reached the lowest level at 0.47 (g ·mm·m−2·h−1·kPa−1), elongation was at the break of 199.92% compared with traditional PE preservative film (only around
40%), and an antibacterial effect on E. coli, S. aureus and Penicillium. The composite film had a good preservative effect, so the commercial application prospect is promising.
Extraction of garlic essential oil with electrospun nanofibers and its antioxidant activity
Authors: Wang Yunzheng , Hu Qinghai , Zhang Yihan , Jin Wenxin , Chu Lanling
Published: October 2022

In this study, the application of electrospun nanofiber materials in the extraction of garlic oil was preliminarily studied, and the antioxidant activity of garlic oil in vitro was tested. The results showed that it is preferable for the polystyrene (PS) nanofiber membrane prepared
by electrospinning to be utilized as the medium material for the extraction of garlic oil by flow adsorption and ethanol solvent desorption. The extraction rate was up to 0.36%. Through ABTS free radical experiments, it was found that the highest clearance rate is basically around 80%. The
results of DPPH free radical experiment displayed decent DPPH free radical scavenging ability. The metal chelation experiments indicated the oil can interfered with the formation of complexes between ferrozine and ferrous ions and captured ferric ion before ferrozine. in vitro reduction
experiments revealed that the extracted garlic oil could terminate the free radical chain reaction and play an antioxidant role. Superoxide anion experiments signified that the scavenging rate of superoxide anion is around 50% with 1 mg/mL of garlic essential oil. In conclusion, in this paper
the extracted garlic oil by PS nanofibers displayed preferable antioxidant activity, and importantly the electrospun nanofibers can be utilized as a promising extraction media of allium essential oils.