LIVIVO - Search results -

Search results

Result 1 - 10 of total 352

Search options

Article ; Online: Determinants of students’ academic success in English as a medium of instruction (EMI) classes

Lei Feng / Li He / Ayinuer Yiganmu

Heliyon, Vol 9, Iss 10, Pp e20421- (2023)

A systematic review

2023

Abstract: With the rapid development of English as a medium of instruction (EMI), many education researchers have attempted to examine the extent to which EMI courses contribute to students' academic success. In a similar vein, several scholars have endeavored to ... ...

Abstract	With the rapid development of English as a medium of instruction (EMI), many education researchers have attempted to examine the extent to which EMI courses contribute to students' academic success. In a similar vein, several scholars have endeavored to locate the determinants of students' academic success in these courses. Given the fact that recognizing the predictors of academic success is of great help to educational administrators, teachers, and students, we aimed to uncover the various predictors of EMI students' academic success by scrutinizing the related research. In doing so, the relevant studies conducted on the antecedents of EMI students' academic success were identified through eight databases. Having gathered the related articles, we systematically reviewed the earlier investigations and their main findings. The review outcomes illuminated that English proficiency, vocabulary knowledge, academic self-concept, and self-efficacy are the important determinants of students’ academic success. Finally, the limitations of prior studies, the directions for future inquiries, and the practical implications of the current study are briefly discussed.
Keywords	English as a medium of instruction (EMI) ; Academic success ; EMI students ; Systematic review ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	420
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Analysing the Relationship between Proximity to Transit Stations and Local Living Patterns

I-Ting Chuang / Lee Beattie / Lei Feng

Urban Science, Vol 7, Iss 4, p

A Study of Human Mobility within a 15 Min Walking Distance through Mobile Location Data

2023 Volume 105

Abstract: Urban planning and transportation policies are vital to creating sustainable and liveable cities. Transit-orientated development (TOD) has emerged as a prominent approach that emphasises the establishment of neighbourhoods with convenient access to ... ...

Abstract	Urban planning and transportation policies are vital to creating sustainable and liveable cities. Transit-orientated development (TOD) has emerged as a prominent approach that emphasises the establishment of neighbourhoods with convenient access to public transportation, thereby promoting car-free lifestyles. This research investigates the connection between proximity to transit stations and local living habits in Auckland, New Zealand, which is a car-dependent city aiming to transition to a sustainable TOD model. We use geolocational data from mobile phones to measure the daily mobility patterns of residents living within a 15 min walking distance of various transit stations. Employing ordinary least squares (OLS) regression, we analyse the correlation between residents’ average travel distances and individual mobility, considering different station contexts. We aim to determine whether individuals living near transit stations are more inclined to participate in local activities and make a higher proportion of short-distance trips. The results illustrate that approximately 54% of the residents show dominant localised mobility patterns. Living near a station is significantly associated with shorter annual travel distances, although this trend varies by area. Notably, only about 16 of the 34 stations studied indicate that their local residents predominantly engage in ‘local’ travel patterns. Rural stations show less correlation, likely due to poor infrastructure and limited walkability. This study underscores the vital role of proximity to transit stations in promoting sustainable mobility. It serves as a foundational guide for urban planners and designers to make informed decisions that improve the built environment and optimise land use.
Keywords	transit-orientated development (TOD) ; transit proximity ; human mobility ; locality ; Auckland ; New Zealand ; Geography. Anthropology. Recreation ; G ; Social Sciences ; H
Subject code	910 ; 380
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Antinociceptive and Anti-inflammatory Effect of Corynoline in Different Nociceptive and Inflammatory Experimental Models.

Lei, Feng / Yan, Zhou

Applied biochemistry and biotechnology

2022 Volume 194, Issue 10, Page(s) 4783–4799

Abstract: Pain is growing to be a massive health issue across the globe. It is reported that one in every five adults tends to suffer from pain worldwide each year, regardless of age and gender. Inflammation caused by tissue damage, chemical stimulus, and foreign ... ...

Abstract	Pain is growing to be a massive health issue across the globe. It is reported that one in every five adults tends to suffer from pain worldwide each year, regardless of age and gender. Inflammation caused by tissue damage, chemical stimulus, and foreign substances is commonly associated with pain. Inflammatory pain is mainly caused by the direct effect of inflammatory mediators on particular classes of nociceptive neurons. In the current investigation, the antinociceptive and anti-inflammatory effect of corynoline, a phytochemical compound isolated from Corydalis bungeana Turcz., has been evaluated in experimental mice. The experimental mice were divided into 5 groups of 6 animals each. The first control group was fed with water. The second, third, and fourth groups received different doses of corynoline and the fifth group of mice received positive controls. Nociception was induced with the help of acetic acid, formalin, glutamate, capsaicin, hot plate, and tail immersion in mice whereas carrageenan was used to induce inflammation. The peritoneal cavity leukocyte infiltration and pro-inflammatory mediator generation were also analyzed to confirm the anti-inflammatory effect and the natural locomotor activity was determined using an open field test. Corynoline treatment significantly suppressed the paw licking, writhing in the abdominal region, and displayed high nociceptive inhibitory reaction in a dose-related manner. Additionally, corynoline significantly reduced the carrageenan-triggered paw edema and also reduced the levels of pro-inflammatory cytokines. Thus, the antinociceptive and anti-inflammatory activity of corynoline has been successfully established.
MeSH term(s)	Analgesics/pharmacology ; Analgesics/therapeutic use ; Animals ; Anti-Inflammatory Agents/pharmacology ; Anti-Inflammatory Agents/therapeutic use ; Berberine Alkaloids ; Capsaicin/adverse effects ; Carrageenan/pharmacology ; Cytokines ; Edema/chemically induced ; Edema/drug therapy ; Formaldehyde ; Glutamates/adverse effects ; Inflammation/drug therapy ; Inflammation Mediators ; Mice ; Models, Theoretical ; Nociception ; Pain/drug therapy ; Plant Extracts/chemistry ; Water/pharmacology
Chemical Substances	Analgesics ; Anti-Inflammatory Agents ; Berberine Alkaloids ; Cytokines ; Glutamates ; Inflammation Mediators ; Plant Extracts ; Water (059QF0KO0R) ; corynoline (18797-79-0) ; Formaldehyde (1HG84L3525) ; Carrageenan (9000-07-1) ; Capsaicin (S07O44R1ZM)
Language	English
Publishing date	2022-03-05
Publishing country	United States
Document type	Journal Article
ZDB-ID	392344-7
ISSN	1559-0291 ; 0273-2289
ISSN (online)	1559-0291
ISSN	0273-2289
DOI	10.1007/s12010-022-03843-6
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 3053: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Details ▾

Article ; Online: Optimization Algorithm of Tourism Security Early Warning Information System Based on Long Short-Term Memory (LSTM)

Lei Feng / Yukai Hao

Computational Intelligence and Neuroscience, Vol

2021 Volume 2021

Abstract: Tourism safety is the focus of the tourism industry. It is not only related to the safety of tourists’ lives and property, but also related to social stability and sustainable development of the tourism industry. However, the security early warning of ... ...

Abstract	Tourism safety is the focus of the tourism industry. It is not only related to the safety of tourists’ lives and property, but also related to social stability and sustainable development of the tourism industry. However, the security early warning of many scenic spots focuses on the response measures and remedial plans after the occurrence of security incidents, and the staff of many scenic spots have limited security awareness and information analysis ability, which is prone to lag in information release, and do not pay attention to the information of potential security problems. Therefore, this paper studies the optimization algorithm of the tourism security early warning information system based on the LSTM model and uses the recurrent neural network and LSTM to improve the processing and prediction ability of time-series data. The experimental results show that the number of three hidden layers in the tourism security early warning information system based on the LSTM model can reduce the training time of the model and improve the performance. Compared with the tourism safety early warning information system based on the BP neural network, it has better accuracy and stability, has better processing and prediction ability for time series data, and can monitor and analyze data scientifically in real-time and dynamically analyze data.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	910
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article: Antinociceptive and Anti-inflammatory Effect of Corynoline in Different Nociceptive and Inflammatory Experimental Models

Lei, Feng / Yan, Zhou

Applied biochemistry and biotechnology. 2022 Oct., v. 194, no. 10

2022

Abstract	Pain is growing to be a massive health issue across the globe. It is reported that one in every five adults tends to suffer from pain worldwide each year, regardless of age and gender. Inflammation caused by tissue damage, chemical stimulus, and foreign substances is commonly associated with pain. Inflammatory pain is mainly caused by the direct effect of inflammatory mediators on particular classes of nociceptive neurons. In the current investigation, the antinociceptive and anti-inflammatory effect of corynoline, a phytochemical compound isolated from Corydalis bungeana Turcz., has been evaluated in experimental mice. The experimental mice were divided into 5 groups of 6 animals each. The first control group was fed with water. The second, third, and fourth groups received different doses of corynoline and the fifth group of mice received positive controls. Nociception was induced with the help of acetic acid, formalin, glutamate, capsaicin, hot plate, and tail immersion in mice whereas carrageenan was used to induce inflammation. The peritoneal cavity leukocyte infiltration and pro-inflammatory mediator generation were also analyzed to confirm the anti-inflammatory effect and the natural locomotor activity was determined using an open field test. Corynoline treatment significantly suppressed the paw licking, writhing in the abdominal region, and displayed high nociceptive inhibitory reaction in a dose-related manner. Additionally, corynoline significantly reduced the carrageenan-triggered paw edema and also reduced the levels of pro-inflammatory cytokines. Thus, the antinociceptive and anti-inflammatory activity of corynoline has been successfully established.
Keywords	Corydalis ; acetic acid ; anti-inflammatory activity ; biotechnology ; capsaicin ; carrageenan ; cytokines ; edema ; formalin ; gender ; glutamic acid ; inflammation ; leukocytes ; locomotion ; nociception ; pain ; phytochemicals ; tail
Language	English
Dates of publication	2022-10
Size	p. 4783-4799.
Publishing place	Springer US
Document type	Article
ZDB-ID	392344-7
ISSN	0273-2289
ISSN	0273-2289
DOI	10.1007/s12010-022-03843-6
Database	NAL-Catalogue (AGRICOLA)

In stock of ZB MED Bonn / Germany

Z 80/718: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Synthesis of a reusable magnetic photocatalyst based on BiOCl / MnxZn1-xFe2O4 composites and its application on RhB degradation

Hailong Wang / Huasen Guo / Chaodi Zhang / Dan Yang / Yifan Wang / Haiyi Wang / Lei Feng

Arabian Journal of Chemistry, Vol 17, Iss 1, Pp 105440- (2024)

1481

Abstract: Water pollution is becoming an increasingly serious issue, which threatens human survival. However, existing technology for addressing this issue has not developed adequately, and the recovery of polluted water remains difficult. Therefore, it is ... ...

Abstract	Water pollution is becoming an increasingly serious issue, which threatens human survival. However, existing technology for addressing this issue has not developed adequately, and the recovery of polluted water remains difficult. Therefore, it is critical to develop innovative wastewater treatment technology, which is highly effective, uses little energy, and produces no secondary pollution. In this study, a Z-type heterojunction BiOCl/MnxZn1-xFe2O4 magnetic composite photocatalyst was created by the hydrothermal method. Using RhB as the target dye, the photocatalytic performances of the composite samples were assessed. The structure of composite samples was studied by SEM, X-ray diffraction, and UV–vis diffuse reflectance spectroscopy.The findings demonstrate that the heterojunction created by the addition of MnxZn1-xFe2O4 and BiOCl lowers the rate at which photogenerated electrons and holes recombine. Meanwhile, the prepared BiOCl/MnxZn1-xFe2O4 magnetic composite photocatalyst exhibited a notable catalytic degradation effect on RhB. Among them, the degradation rate of BiMn-5 was as high as 94.6%, showing better photocatalytic performance than other composite samples with different mass ratios. In addition, the product can be recycled. After five repeated tests, the average degradation rate remained as high as 88.7%. Therefore, the BiOCl/MnxZn1-xFe2O4 magnetic composite photocatalyst developed herein can be a new technology for efficient and environmentally friendly sewage treatment in line with contemporary needs.
Keywords	Z-type heterojunction ; BiOCl/MnxZn1-xFe2O4 magnetic composite photocatalyst ; RhB ; Hydrothermal method ; Chemistry ; QD1-999
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Machine learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis

Jie Yang / Jingfang Wan / Lei Feng / Shihui Hou / Kaizhen Yv / Liang Xu / Kehong Chen

BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-

2024 Volume 11

Abstract: Abstract Background An appropriate prediction model for adverse prognosis before peritoneal dialysis (PD) is lacking. Thus, we retrospectively analysed patients who underwent PD to construct a predictive model for adverse prognoses using machine learning ...

Abstract	Abstract Background An appropriate prediction model for adverse prognosis before peritoneal dialysis (PD) is lacking. Thus, we retrospectively analysed patients who underwent PD to construct a predictive model for adverse prognoses using machine learning (ML). Methods A retrospective analysis was conducted on 873 patients who underwent PD from August 2007 to December 2020. A total of 824 patients who met the inclusion criteria were included in the analysis. Five commonly used ML algorithms were used for the initial model training. By using the area under the curve (AUC) and accuracy (ACC), we ranked the indicators with the highest impact and displayed them using the values of Shapley additive explanation (SHAP) version 0.41.0. The top 20 indicators were selected to build a compact model that is conducive to clinical application. All model-building steps were implemented in Python 3.8.3. Results At the end of follow-up, 353 patients withdrew from PD (converted to haemodialysis or died), and 471 patients continued receiving PD. In the complete model, the categorical boosting classifier (CatBoost) model exhibited the strongest performance (AUC = 0.80, 95% confidence interval [CI] = 0.76–0.83; ACC: 0.78, 95% CI = 0.72–0.83) and was selected for subsequent analysis. We reconstructed a compression model by extracting 20 key features ranked by the SHAP values, and the CatBoost model still showed the strongest performance (AUC = 0.79, ACC = 0.74). Conclusions The CatBoost model, which was built using the intelligent analysis technology of ML, demonstrated the best predictive performance. Therefore, our developed prediction model has potential value in patient screening before PD and hierarchical management after PD.
Keywords	Machine learning ; Peritoneal dialysis ; Prediction model ; Prognosis ; Computer applications to medicine. Medical informatics ; R858-859.7
Subject code	310
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: The Impact of the Need for Language Assistance Services on the Use of Regional Anesthesia, Postoperative Pain Scores and Opioid Administration in Surgical Oncology Patients

Ravish Kapoor / Pascal Owusu-Agyemang / Lei Feng / Juan P. Cata

Journal of Personalized Medicine, Vol 13, Iss 481, p

2023 Volume 481

Abstract: Language barriers can negatively impact the quality of healthcare. In surgical patients, limited English proficiency (LEP) can lead to disparities in acute postoperative pain management. Interpreters are often used for communication with LEP patients to ... ...

Abstract	Language barriers can negatively impact the quality of healthcare. In surgical patients, limited English proficiency (LEP) can lead to disparities in acute postoperative pain management. Interpreters are often used for communication with LEP patients to help alleviate these disparities. We aimed to investigate the impact of the need for language assistance services (LAS) in acute postoperative pain management in patients undergoing oncologic surgery. We retrospectively collected data on adult patients undergoing open abdominal oncologic surgery between March 2016 and August 2021. The need for LAS, patient demographics, treatment and clinical outcomes were obtained from the patient’s electronic medical record. The primary endpoint was pain intensity, while secondary endpoints included opioid use in PACU and regional anesthesia. Post-matching analysis (n = 590) demonstrated no significant difference in preoperative variables between patients needing LAS and those not needing LAS. The rate of regional use was slightly lower but not statistically significant in patients needing LAS. Patients needing LAS had significantly lower opioid consumption and reported lower pain intensity in PACU than subjects not requiring translation. In this study, LAS may have aided in the patient decision process regarding the acceptance of regional anesthesia. Although the need for LAS was associated with statistically significant lower pain intensity scores and a corresponding lesser opioid use than no LAS, the margin of differences, especially in pain intensity scores, may not be clinically significant. This may suggest that LAS allowed for better patient-provider communication and appropriate pain management.
Keywords	pain assessment ; oncologic surgery ; language barriers ; limited English proficiency ; language assistance services ; Medicine ; R
Subject code	616
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Understanding the Impact Mechanism of User Behavior Pattern toward Real Estate APP Platforms in the Post-COVID Era

Maosheng Yang / Ping Li / Honghong Zhou / Zeyu Li / Lei Feng

Sustainability, Vol 15, Iss 8926, p

A Quantitative Analysis

2023 Volume 8926

Abstract: While technology factors are the main driver of the booming real estate APP platforms with important implications for user behavior pattern during and post-pandemic contexts, there is a lack of adequate research. In response, this study explores the user ...

Abstract	While technology factors are the main driver of the booming real estate APP platforms with important implications for user behavior pattern during and post-pandemic contexts, there is a lack of adequate research. In response, this study explores the user behavior pattern of real estate APP platforms to promote user mental health by taking the real estate APP platforms users as the participants based on theory of technology readiness and acceptance model. Data collected from offline surveys are analyzed using PLS-SEM. The results reveal the technology readiness index positively affects individuals’ perceived usefulness and satisfaction, ultimately positively affects individuals’ continuance intention with real estate APP platforms; satisfaction with real estate APP platforms mediated the relationship between technology readiness index, perceived ease of use, perceived usefulness, and individuals’ continuance intention with real estate APP platforms. However, the group comparison finds no significant difference in user behavior patterns by gender. The contribution of this study is to reveal the influence mechanisms of digital technology on users’ behavioral patterns toward real estate APP platforms, which can help guide the sustainable development of real estate APP platforms and promote user mental health and wellbeing in the post-COVID era.
Keywords	digital technology ; technology readiness index ; user satisfaction ; continuance intention ; user behavior pattern ; sustainable development ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	330
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)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Hypergraph convolution mix DDPG for multi-aerial base station deployment

Haoran He / Fanqin Zhou / Yikun Zhao / Wenjing Li / Lei Feng

Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-

2023 Volume 11

Abstract: Abstract Aerial base stations (AeBS), as crucial components of air-ground integrated networks, can serve as the edge nodes to provide flexible services to ground users. Optimizing the deployment of multiple AeBSs to maximize system energy efficiency is ... ...

Abstract	Abstract Aerial base stations (AeBS), as crucial components of air-ground integrated networks, can serve as the edge nodes to provide flexible services to ground users. Optimizing the deployment of multiple AeBSs to maximize system energy efficiency is currently a prominent and actively researched topic in the AeBS-assisted edge-cloud computing network. In this paper, we deploy AeBSs using multi-agent deep reinforcement learning (MADRL). We describe the multi-AeBS deployment challenge as a decentralized partially observable Markov decision process (Dec-POMDP), taking into consideration the constrained observation range of AeBSs. The hypergraph convolution mix deep deterministic policy gradient (HCMIX-DDPG) algorithm is designed to maximize the system energy efficiency. The proposed algorithm uses the value decomposition framework to solve the lazy agent problem, and hypergraph convolutional (HGCN) network is introduced to strengthen the cooperative relationship between agents. Simulation results show that the suggested HCMIX-DDPG algorithm outperforms alternative baseline algorithms in the multi-AeBS deployment scenario.
Keywords	Aerial base station (AeBS) ; Multi-agent deep reinforcement learning (MADRL) ; Hypergraph convolution (HGCN) ; Value decomposition ; energy efficiency optimization ; Computer engineering. Computer hardware ; TK7885-7895 ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	006 ; 629
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED