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Article ; Online: An Introduction to Zoeontology

Fei WU

Asian Studies, Vol 12, Iss

2024 Volume 1

Abstract: Zoeontology, or the study of living, is a philosophical system the author is constructing in the spirit of traditional Chinese philosophy. We see living as the central philosophical inquiry in the Chinese tradition, rather than being as in Western ... ...

Abstract	Zoeontology, or the study of living, is a philosophical system the author is constructing in the spirit of traditional Chinese philosophy. We see living as the central philosophical inquiry in the Chinese tradition, rather than being as in Western philosophy. Being is supposed to be eternal and death is a negation of being, but living consists of birth, growing, aging, and death. Hence in zoeontology, we see time as the rhythm of living, and space as the orientation in a living community. As a time-space system, a living subject interacts with the world from the perspective of the ego. Zoeontology is also a kind of subjective philosophy. Different living subjects interact with each other if their living rhythms parallel or overlap with each other. A child’s living process is internal to the parents’ living process, and hence there must be intimate and profound interactions between them. This is the beginning of a civil community. There is a dialectical relationship between civilization and nature. The purpose of human civilization is to civilize a natural living community, but it must obey the rules of nature. Human civilization is not meant to change nature, but to fulfil it.
Keywords	zoeontology ; living ; time-space system ; subjective philosophy ; civilization ; Social sciences and state - Asia (Asian studies only) ; H53
Subject code	100
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	University of Ljubljana Press (Založba Univerze v Ljubljani)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: [Effect of zoledronic acid on mandibular socket healing process of mice at an early stage].

Jiang, Run-Yang / Kang, Fei-Wu

Shanghai kou qiang yi xue = Shanghai journal of stomatology

2023 Volume 31, Issue 4, Page(s) 349–353

Abstract: Purpose: To investigate how bisphosphonates affect early process of socket healing in mice model.: Methods: Eighteen 8-9 weeks C57BL/6 male mice were randomly divided into control and experimental group. Bisphosphonate-related osteonecrosis of the ... ...

Abstract	Purpose: To investigate how bisphosphonates affect early process of socket healing in mice model. Methods: Eighteen 8-9 weeks C57BL/6 male mice were randomly divided into control and experimental group. Bisphosphonate-related osteonecrosis of the jaw（BRONJ）model was conducted by intraperitoneal injection of zoledronate（ZOL） and extraction of lower left first molar in mice. Three, five, seven day after surgery, the mice were sacrificed and paraffin-embedded slides were made. H-E staining was used to evaluate the gross condition. The distribution and amounts of osteoclasts were measured by TRAP staining. Finally, immunochemical staining was used to detect RUNX2 and CTSK level. All experiments were duplicated thrice, ImageJ was used for transformation of pictures and SPSS 20.0 software package was used for statistical analysis. Results: In comparison with the control group, early process of socket healing in the experimental group was generally delayed. RUNX2,CTSK,TRAP expression level was decreased. On the whole, early bone remodeling process in ZOL injection group was suppressed. Conclusions: Zoledronic acid inhibited the migration of fibroblasts into socket, and reduced the expression of Runx2, hindering new bone formation. It also can reduce the expression of TRAP 3，5，7 days after tooth extraction and CTSK expression three days after operation, thus inhibiting the bone resorption function of osteoclasts.
MeSH term(s)	Mice ; Male ; Animals ; Zoledronic Acid/pharmacology ; Core Binding Factor Alpha 1 Subunit ; Mice, Inbred C57BL ; Diphosphonates/pharmacology ; Bisphosphonate-Associated Osteonecrosis of the Jaw ; Tooth Socket ; Tooth Extraction ; Bone Density Conservation Agents/pharmacology
Chemical Substances	Zoledronic Acid (6XC1PAD3KF) ; Core Binding Factor Alpha 1 Subunit ; Diphosphonates ; Bone Density Conservation Agents
Language	Chinese
Publishing date	2023-01-30
Publishing country	China
Document type	English Abstract ; Journal Article
ZDB-ID	2269714-7
ISSN	1006-7248
ISSN	1006-7248
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: English Text Recognition Deep Learning Framework to Automatically Identify Fake News

Fei Wu / Xiaoyu Luo

Computational Intelligence and Neuroscience, Vol

2022 Volume 2022

Abstract: Fake news spreading rapidly worldwide is considered one of the most severe problems of modern technology that needs to be addressed immediately. The remarkable increase in the use of social media as a critical source of information combined with the ... ...

Abstract	Fake news spreading rapidly worldwide is considered one of the most severe problems of modern technology that needs to be addressed immediately. The remarkable increase in the use of social media as a critical source of information combined with the shaking of trust in traditional media, the high speed of digital news dissemination, and the vast amount of information circulating on the Internet have exacerbated the problem of so-called fake news. The present work proves the importance of detecting fake news by taking advantage of the information derived from friendships between users. Specifically, using an innovative deep temporal convolutional network (DTCN) scheme assisted using the tensor factorization non-negative RESCAL method, we take advantage of class-aware rate tables during and not after the factorization process, producing more accurate representations to detect fake news with exceptionally high reliability. In this way, the need to develop automated methods for detecting false information is demonstrated with the primary aim of protecting readers from misinformation.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Deep Learning Filter that Blocks Phishing Campaigns Using Intelligent English Text Recognition Methods

Yonghui Tang / Fei Wu

Applied Bionics and Biomechanics, Vol

2022 Volume 2022

Abstract: Most of the sophisticated attacks in the modern age of cybercrime are based, among other things, on specialized phishing campaigns. A challenge in identifying phishing campaigns is defining a classification of patterns that can be generalized and used in ...

Abstract	Most of the sophisticated attacks in the modern age of cybercrime are based, among other things, on specialized phishing campaigns. A challenge in identifying phishing campaigns is defining a classification of patterns that can be generalized and used in different areas and campaigns of a different nature. Although efforts have been made to establish a general labeling scheme in their classification, there is still limited data labeled in such a format. The usual approaches are based on feature engineering to correctly identify phishing campaigns, exporting lexical, syntactic, and semantic features, e.g., previous phrases. In this context, the most recent approaches have taken advantage of modern neural network architectures to record hidden information at the phrase and text levels, e.g., Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNNs). However, these models lose semantic information related to the specific problem, resulting in a variation in their performance, depending on the different data sets and the corresponding standards used for labeling. In this paper, we propose to extend word embeddings with word vectors that indicate the semantic similarity of each word with each phishing campaigns template tag. These embedded keywords are calculated based on semantic subfields corresponding to each phishing campaign tag, constructed based on the automatic extraction of keywords representing these tags. Combining general word integrations with vectors is calculated based on word similarity using a set of sequential Kalman filters, which can then power any neural architecture such as LSTM or CNN to predict each phishing campaign. Our experiments use a data indicator to evaluate our approach and achieve remarkable results that reinforce the state-of-the-art.
Keywords	Biotechnology ; TP248.13-248.65 ; Biology (General) ; QH301-705.5
Subject code	006
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Study on Traffic Accident Forecast of Urban Excess Tunnel Considering Missing Data Filling

Yang Shen / Changjiang Zheng / Fei Wu

Applied Sciences, Vol 13, Iss 6773, p

2023 Volume 6773

Abstract: Urban highway tunnels are frequent accident locations, and predicting and analyzing road conditions after accidents to avoid traffic congestion is a key measure for tunnel traffic operation management. In this paper, 200 traffic accident data from the ... ...

Abstract	Urban highway tunnels are frequent accident locations, and predicting and analyzing road conditions after accidents to avoid traffic congestion is a key measure for tunnel traffic operation management. In this paper, 200 traffic accident data from the YingTian Street Tunnel in Nanjing city were analyzed and encoded to extract the main factors affecting tunnel traffic conditions from three aspects: time, traffic flow, and tunnel environment. Next, graph convolution long short-term memory networks were used to predict and fill in missing traffic flow data. Finally, seven independent variables selected by Pearson correlation analysis were input into the constructed BP neural network and random forest model to predict tunnel traffic conditions during accidents and accident duration. Experimental results show that the accuracy of random forest and BP neural networks in predicting traffic flow is 83.39% and 82.94%, respectively, and that the absolute error of the two models in predicting accident duration is 75% and 60% within 25 min, respectively. Both models perform well in predicting traffic conditions, and the random forest models perform better in terms of robustness and generalization in predicting crash duration. The experimental results have important implications for tunnel operation management during accidents.
Keywords	urban highway tunnels ; graph convolution long short-term memory networks ; BP neural network ; random forest model ; road conditions during accidents ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	380
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Strategic uses for ancillary bioenergy in a carbon-neutral and fossil-free 2050 European energy system

Fei Wu / Adrian Muller / Stefan Pfenninger

Environmental Research Letters, Vol 18, Iss 1, p

2023 Volume 014019

Abstract: Biomass is a growing renewable energy source in Europe and is envisioned to play a role for realising carbon neutrality, predominantly using dedicated energy crops. However, dedicated biomass is controversial for reasons including its competition with ... ...

Abstract	Biomass is a growing renewable energy source in Europe and is envisioned to play a role for realising carbon neutrality, predominantly using dedicated energy crops. However, dedicated biomass is controversial for reasons including its competition with food production or its land-use and emissions impacts. Here we examine the potential role of a land-free alternative: ancillary bioenergy (AB) from biomass sources not primarily grown for energy and without land/food/feed competition. We provide the first dataset of 2050 ancillary biomass potential using the agricultural system model SOLm, which encompasses untapped by-/co-products and detailed agricultural residues. Results show that there is a limited future potential for AB in Europe (2394–10 342 PJ, which is 3–6 times lower than other estimates including dedicated biomass). We design and investigate alternative scenarios where this bioenergy resource can be fully utilised, not utilised at all, or utilised optimally by the sector-coupled energy system model Euro-Calliope. We find that fully utilising ancillary biomass can help phase out controversial nuclear or land-intensive dedicated biomass, so might achieve higher societal acceptability. Using all ancillary biomass as a negative-emissions source at stationary bioenergy carbon capture and storage plants in a nuclear-free system provides additional climate benefits. It is also possible to leave the AB potential completely unused, which barely increases total system cost, but would preserve agricultural nutrients. We conclude that there are synergies and trade-offs among possible strategic uses of AB, which can provide guidelines for a more coherent European bioenergy strategy. Although the 2050 potential of AB is limited, our findings suggest that it could fill critical strategic niches for realising carbon-neutrality.
Keywords	sustainable bioenergy ; carbon-neutrality ; sector-coupling ; renewable energy systems optimisation ; energy policy ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350 ; Science ; Q ; Physics ; QC1-999
Subject code	333
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	IOP Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Co-Promoted CoNi Bimetallic Nanocatalyst for the Highly Efficient Catalytic Hydrogenation of Olefins

Fei Wu / Yueying Wang / Shunxin Fei / Gang Zhu

Nanomaterials, Vol 13, Iss 1939, p

2023 Volume 1939

Abstract: Bimetallic catalysts, especially non-noble metals, hold great potential for substituting for noble metals in catalytic hydrogenation. In present study, a series of Co x Ni y ( x + y = 6) bimetallic catalysts were prepared through the impregnation– ... ...

Abstract	Bimetallic catalysts, especially non-noble metals, hold great potential for substituting for noble metals in catalytic hydrogenation. In present study, a series of Co x Ni y ( x + y = 6) bimetallic catalysts were prepared through the impregnation–reduction method and cyclohexene was chosen as probe-molecule to study the promotion effect of Co on the catalytic olefin hydrogenation reactions. Meanwhile, density functional theory (DFT) was utilized to investigate the formation energies and the charge distribution of CoNi bimetals, as well as the transition state (TS) searches for hydrogen dissociation and migration. The results suggest that bimetals tend to have superior catalytic performance than pure metals, and Co 3 Ni 3 shows the highest catalytic activity on the cyclohexene hydrogenation. It was found that the charge transfer from Co to Ni and the alloying give rise to the refinement of CoNi grains and the improvement of its catalytic activity and stability. Thus, it may be possible to obtain better catalytic performance by tuning the metal/metal atomic ratio of bimetals.
Keywords	CoNi bimetal ; nanoparticles ; catalytic hydrogenation ; promotion effect ; charge transfer ; Chemistry ; QD1-999
Subject code	540
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Wireless sensing in high-speed railway turnouts with battery-free materials and devices

Yuhua Sun / Yan Yan / Song Tian / Gang Liu / Fei Wu / Ping Wang / Mingyuan Gao

iScience, Vol 27, Iss 1, Pp 108663- (2024)

1481

Abstract: Summary: Sustainable energy technologies enable solutions for future green transportation. Realizing status awareness and effective wireless monitoring of rail transit infrastructure in dark environments, narrow spaces, and unattended conditions has ... ...

Abstract	Summary: Sustainable energy technologies enable solutions for future green transportation. Realizing status awareness and effective wireless monitoring of rail transit infrastructure in dark environments, narrow spaces, and unattended conditions has always been a challenge. This study presents a battery-free vibration-powered force sensing system (VFSS) that integrates structural loading, sensing, and energy harvesting. The proposed VFSS can sense a switching force of up to 4 kN in the high-speed railway turnout section, deliver 6.9 mW of average power over a broad frequency band (ca. 500 Hz) under a vibration amplitude of 0.2 mm, and realize wireless data transmission. Through a cross-scale design from the device to the system, we demonstrate an all-in-one smart component that features stress flow, signal flow, and energy flow, which could highlight the implementation of energy structures in the future.
Keywords	Applied sciences ; Engineering ; Materials science ; Science ; Q
Subject code	621
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Exosome-mediated repair of spinal cord injury

Tong Yu / Li-Li Yang / Ying Zhou / Min-Fei Wu / Jian-Hang Jiao

Stem Cell Research & Therapy, Vol 15, Iss 1, Pp 1-

a promising therapeutic strategy

2024 Volume 19

Abstract: Abstract Spinal cord injury (SCI) is a catastrophic injury to the central nervous system (CNS) that can lead to sensory and motor dysfunction, which seriously affects patients' quality of life and imposes a major economic burden on society. The ... ...

Abstract	Abstract Spinal cord injury (SCI) is a catastrophic injury to the central nervous system (CNS) that can lead to sensory and motor dysfunction, which seriously affects patients' quality of life and imposes a major economic burden on society. The pathological process of SCI is divided into primary and secondary injury, and secondary injury is a cascade of amplified responses triggered by the primary injury. Due to the complexity of the pathological mechanisms of SCI, there is no clear and effective treatment strategy in clinical practice. Exosomes, which are extracellular vesicles of endoplasmic origin with a diameter of 30–150 nm, play a critical role in intercellular communication and have become an ideal vehicle for drug delivery. A growing body of evidence suggests that exosomes have great potential for repairing SCI. In this review, we introduce exosome preparation, functions, and administration routes. In addition, we summarize the effect and mechanism by which various exosomes repair SCI and review the efficacy of exosomes in combination with other strategies to repair SCI. Finally, the challenges and prospects of the use of exosomes to repair SCI are described.
Keywords	Spinal cord injury ; Exosome ; Repair ; Mechanism ; Medicine (General) ; R5-920 ; Biochemistry ; QD415-436
Subject code	572
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Integrative exploration of the mutual gene signatures and immune microenvironment between benign prostate hyperplasia and castration-resistant prostate cancer

Fei Wu / Hao Ning / Yang Sun / Haihu Wu / Jiaju Lyu

The Aging Male, Vol 26, Iss

2023 Volume 1

Abstract: AbstractBackground Benign prostate hyperplasia (BPH) and prostate cancer (CaP) are among the most frequently occurring prostatic diseases. When CaP progressed to castration-resistant CaP (CRPC), the prognosis is poor. Although CaP/CRPC and BPH frequently ...

Abstract	AbstractBackground Benign prostate hyperplasia (BPH) and prostate cancer (CaP) are among the most frequently occurring prostatic diseases. When CaP progressed to castration-resistant CaP (CRPC), the prognosis is poor. Although CaP/CRPC and BPH frequently coexist in prostate, the inter-relational mechanism between them is largely unknown.Methods Single-cell RNA sequencing, bulk-RNA sequencing, and microarray data of BPH, CaP in the Gene Expression Omnibus database were obtained and comprehensively analyzed. Weighted Gene Co-Expression Network Analysis (WGCNA) and lasso regression analysis were performed to explore the potential biomarkers.Results With WGCNA, five modules in BPH, two in CaP, and three in CRPC were identified as significant modules. Pathway enrichment analysis found that the epigenetics and chromosomal-related signaling were dominantly clustered in the CaP group but not in BPH and CRPC. Lasso regression analysis was used to analyze further the mutual genes between the BPH module and the CRPC module. As a result, DDA1, ERG28, OGFOD1, and OXA1L were significantly correlated with the transcriptomic features in both BPH and CRPC. More importantly, the role of the four gene signatures was validated in two independent anti-PD-1 immunotherapy cohort.Conclusion This study revealed the shared gene signatures and immune microenvironment between BPH and CRPC. The identified hub genes, including DDA1, ERG28, OGFOD1, and OXA1L, might be potential therapeutic targets for facilitating immunotherapy in prostate cancer.
Keywords	Benign prostate hyperplasia ; castration-resistant prostate cancer ; WGCNA ; single-cell RNA sequencing ; immune microenvironment ; Medicine (General) ; R5-920 ; Physiology ; QP1-981
Subject code	570
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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