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Article ; Online: Author response to: Comment on: Evaluation of a quality improvement intervention to reduce anastomotic leak following right colectomy (EAGLE): pragmatic, batched stepped-wedge, cluster-randomized trial in 64 countries.

Li, Elizabeth / Morton, Dion

2024 Volume 111, Issue 3

MeSH term(s)	Humans ; Anastomotic Leak/etiology ; Anastomotic Leak/prevention & control ; Quality Improvement ; Research Design ; Sample Size ; Colectomy/adverse effects
Language	English
Publishing date	2024-03-18
Publishing country	England
Document type	Randomized Controlled Trial ; Journal Article
ZDB-ID	2985-3
ISSN	1365-2168 ; 0263-1202 ; 0007-1323 ; 1355-7688
ISSN (online)	1365-2168
ISSN	0263-1202 ; 0007-1323 ; 1355-7688
DOI	10.1093/bjs/znae065
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Article: Prognostic nomogram for early-stage cervical cancer in the elderly: A SEER database analysis.

Li, Ernan / Ni, Huanjuan

Preventive medicine reports

2024 Volume 41, Page(s) 102700

Abstract: Background: To identify key clinical factors affecting the survival of elderly patients with early-stage cervical cancer and to construct a nomogram for predicting their prognosis.: Methods: Patients (aged ≥ 65 years old) diagnosed with cervical ... ...

Abstract	Background: To identify key clinical factors affecting the survival of elderly patients with early-stage cervical cancer and to construct a nomogram for predicting their prognosis. Methods: Patients (aged ≥ 65 years old) diagnosed with cervical cancer between 2004 and 2015 at clinical stages IA to IIA were included in this study. Diagnosis was confirmed via pathological examination, and the cases were randomly divided into a training or a validation group in a 7:3 ratio. Univariate and multivariable Cox regression analyses were performed to identify independent factors affecting the prognosis of elderly early-stage cervical cancer patients, based on which a nomogram was constructed to predict their 12-, 24- and 36-month overall survival (OS). The nomogram's performance was evaluated using receiver operating characteristic (ROC) curves, calibration curves and decision curve analysis (DCA) curves. Results: A total of 686 patients were identified as eligible and assessed. Multivariable Cox proportional hazard regression analysis revealed that age, tumor diameter, marital status and surgical intervention were independent prognostic factors for elderly individuals with early-stage cervical cancer, which were then used to construct the nomogram. The calibration curves showed a strong correlation between predicted and observed survival rates, and Kaplan-Meier survival curves for different risk subgroups demonstrated significant survival differences (P < 0.001). DCA confirmed the nomogram's clinical utility in predicting the prognosis of elderly patients with early-stage cervical cancer. Conclusion: The prognostic model developed in this study can accurately predict the OS of elderly patients with early-stage cervical cancer, showing high concordance with actual clinical outcomes.
Language	English
Publishing date	2024-03-26
Publishing country	United States
Document type	Journal Article
ZDB-ID	2785569-7
ISSN	2211-3355
ISSN	2211-3355
DOI	10.1016/j.pmedr.2024.102700
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Article ; Online: Spatial-temporal patterns of high-temperature and drought during the maize growing season under current and future climate changes in northeast China.

Li, E / Zhao, Jin / Zhang, Wenmeng / Yang, Xiaoguang

Journal of the science of food and agriculture

2023 Volume 103, Issue 12, Page(s) 5709–5716

Abstract: Background: Under the background of global warming, the intensity and frequency of extreme meteorological events in the maize growing season in northeast China are increasing. In order to clarify the occurrence characteristics of extreme meteorological ... ...

Abstract	Background: Under the background of global warming, the intensity and frequency of extreme meteorological events in the maize growing season in northeast China are increasing. In order to clarify the occurrence characteristics of extreme meteorological events in northeast China, this study focused on three extreme agrometeorological events, i.e., high temperatures, drought, and the compound events of high-temperature and drought during the maize growing season (May-September), impacting maize production. Results: Based on historical (1981-2017) and future (2021-2060) climate data, we analyzed the spatial-temporal patterns of these three events with different intensities in northeast China. The results indicated that slight high-temperatures and moderate and severe droughts occurred more frequently in the study area during the historical period. The frequency of the different grades of the compound events of high-temperature and drought will exhibit an increasing trend in the future, as will the frequency of the compound events of high-temperature and drought. This is particularly evident in the northwest of the study area. Conclusion: The compound events of high-temperature and drought mainly occurred in late July and early August, encompassing the flowering stage of maize varieties. It is important to identify the area and time of major extreme weather events to implement the necessary preventive measures. © 2023 Society of Chemical Industry.
MeSH term(s)	Climate Change ; Zea mays ; Temperature ; Droughts ; Seasons ; China
Language	English
Publishing date	2023-05-05
Publishing country	England
Document type	Journal Article
ZDB-ID	184116-6
ISSN	1097-0010 ; 0022-5142
ISSN (online)	1097-0010
ISSN	0022-5142
DOI	10.1002/jsfa.12650
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Article ; Online: Spatial‐temporal patterns of high‐temperature and drought during the maize growing season under current and future climate changes in northeast China

Li, E. / Zhao, Jin / Zhang, Wenmeng / Yang, Xiaoguang

Journal of the Science of Food and Agriculture. 2023 Sept., v. 103, no. 12 p.5709-5716

2023

Abstract: BACKGROUND: Under the background of global warming, the intensity and frequency of extreme meteorological events in the maize growing season in northeast China are increasing. In order to clarify the occurrence characteristics of extreme meteorological ... ...

Abstract	BACKGROUND: Under the background of global warming, the intensity and frequency of extreme meteorological events in the maize growing season in northeast China are increasing. In order to clarify the occurrence characteristics of extreme meteorological events in northeast China, this study focused on three extreme agrometeorological events, i.e., high temperatures, drought, and the compound events of high‐temperature and drought during the maize growing season (May–September), impacting maize production. RESULTS: Based on historical (1981–2017) and future (2021–2060) climate data, we analyzed the spatial‐temporal patterns of these three events with different intensities in northeast China. The results indicated that slight high‐temperatures and moderate and severe droughts occurred more frequently in the study area during the historical period. The frequency of the different grades of the compound events of high‐temperature and drought will exhibit an increasing trend in the future, as will the frequency of the compound events of high‐temperature and drought. This is particularly evident in the northwest of the study area. CONCLUSION: The compound events of high‐temperature and drought mainly occurred in late July and early August, encompassing the flowering stage of maize varieties. It is important to identify the area and time of major extreme weather events to implement the necessary preventive measures. © 2023 Society of Chemical Industry.
Keywords	agriculture ; climate ; corn ; drought ; meteorological data ; China
Language	English
Dates of publication	2023-09
Size	p. 5709-5716.
Publishing place	John Wiley & Sons, Ltd.
Document type	Article ; Online
Note	JOURNAL ARTICLE
ZDB-ID	184116-6
ISSN	1097-0010 ; 0022-5142
ISSN (online)	1097-0010
ISSN	0022-5142
DOI	10.1002/jsfa.12650
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Toward a CRISPR understanding of gene function in human brain development.

Li, Emmy / Kampmann, Martin

Cell stem cell

2023 Volume 30, Issue 12, Page(s) 1561–1562

Abstract: Genome-wide association studies pinpoint genetic risk factors for neurodevelopmental disorders (NDDs), but the next challenge is to understand the mechanisms through which these genes affect brain development. Two recent CRISPR screens in human brain ... ...

Abstract	Genome-wide association studies pinpoint genetic risk factors for neurodevelopmental disorders (NDDs), but the next challenge is to understand the mechanisms through which these genes affect brain development. Two recent CRISPR screens in human brain organoids
MeSH term(s)	Humans ; Autism Spectrum Disorder/genetics ; Genome-Wide Association Study ; Clustered Regularly Interspaced Short Palindromic Repeats/genetics ; Neurodevelopmental Disorders ; Brain
Language	English
Publishing date	2023-12-08
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	2375354-7
ISSN	1875-9777 ; 1934-5909
ISSN (online)	1875-9777
ISSN	1934-5909
DOI	10.1016/j.stem.2023.11.005
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Article ; Online: A synaptic filtering mechanism in visual threat identification in mouse.

Wu, Qiwen / Li, E / Zhang, Yifeng

Proceedings of the National Academy of Sciences of the United States of America

2022 Volume 120, Issue 1, Page(s) e2212786120

Abstract: Predator detection is key to animal's survival. Superior colliculus (SC) orchestrates the animal's innate defensive responses to visually detected threats, but how threat information is transmitted from the retina to SC is unknown. We discovered that ... ...

Abstract	Predator detection is key to animal's survival. Superior colliculus (SC) orchestrates the animal's innate defensive responses to visually detected threats, but how threat information is transmitted from the retina to SC is unknown. We discovered that narrow-field neurons in SC were key in this pathway. Using in vivo calcium imaging and optogenetics-assisted interrogation of circuit and synaptic connections, we found that the visual responses of narrow-field neurons were correlated with the animal's defensive behaviors toward visual stimuli. Activation of these neurons triggered defensive behaviors, and ablation of them impaired the animals' defensive responses to looming stimuli. They receive monosynaptic inputs from looming-sensitive OFF-transient alpha retinal ganglion cells, and the synaptic transmission has a unique band-pass feature that helps to shape their stimulus selectivity. Our results describe a cell-type specific retinotectal connection for visual threat detection, and a coding mechanism based on synaptic filtering.
MeSH term(s)	Mice ; Animals ; Superior Colliculi/physiology ; Retinal Ganglion Cells ; Visual Pathways
Language	English
Publishing date	2022-12-27
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	209104-5
ISSN	1091-6490 ; 0027-8424
ISSN (online)	1091-6490
ISSN	0027-8424
DOI	10.1073/pnas.2212786120
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Article: Mechanism research on digital inclusive finance promoting high-quality economic development: Evidence from China.

Li, Enze / Tang, Yuanxiu / Zhang, Yiwei / Yu, Jiahui

Heliyon

2024 Volume 10, Issue 3, Page(s) e25671

Abstract: This article aims to precisely evaluate the catalytic impact of digital inclusive finance on economic growth, enhance the implementation of policies pertaining to digital inclusive finance, and foster high-quality economic development. Based on China's ... ...

Abstract	This article aims to precisely evaluate the catalytic impact of digital inclusive finance on economic growth, enhance the implementation of policies pertaining to digital inclusive finance, and foster high-quality economic development. Based on China's provincial panel data and the digital inclusive finance index from 2011 to 2021, this research investigates the influence of digital inclusive finance on high-quality economic development and the associated underlying mechanisms. The findings suggest that digital inclusive finance exerts a notable spatial impact on high-quality economic development. Moreover, there is heterogeneity in the spatial effects between different dimensions of digital inclusive finance and high-quality economic development. Through the threshold model and intermediary effect model, it is found that the Internet penetration rate has a dual-threshold effect on the impact of digital inclusive finance on promoting high-quality economic development. Specifically, digital inclusive finance contributes to elevating the level of high-quality economic development through its role in promoting the transformation of consumption structure. The findings of this study offer valuable insights for countries aiming to attain high-quality economic development through the enhancement of digital inclusive finance.
Language	English
Publishing date	2024-02-05
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e25671
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A machine learning model to predict the risk of depression in US adults with obstructive sleep apnea hypopnea syndrome: a cross-sectional study.

Li, Enguang / Ai, Fangzhu / Liang, Chunguang

Frontiers in public health

2024 Volume 11, Page(s) 1348803

Abstract: Objective: Depression is very common and harmful in patients with obstructive sleep apnea hypopnea syndrome (OSAHS). It is necessary to screen OSAHS patients for depression early. However, there are no validated tools to assess the likelihood of ... ...

Abstract	Objective: Depression is very common and harmful in patients with obstructive sleep apnea hypopnea syndrome (OSAHS). It is necessary to screen OSAHS patients for depression early. However, there are no validated tools to assess the likelihood of depression in patients with OSAHS. This study used data from the National Health and Nutrition Examination Survey (NHANES) database and machine learning (ML) methods to construct a risk prediction model for depression, aiming to predict the probability of depression in the OSAHS population. Relevant features were analyzed and a nomogram was drawn to visually predict and easily estimate the risk of depression according to the best performing model. Study design: This is a cross-sectional study. Methods: Data from three cycles (2005-2006, 2007-2008, and 2015-2016) were selected from the NHANES database, and 16 influencing factors were screened and included. Three prediction models were established by the logistic regression algorithm, least absolute shrinkage and selection operator (LASSO) algorithm, and random forest algorithm, respectively. The receiver operating characteristic (ROC) area under the curve (AUC), specificity, sensitivity, and decision curve analysis (DCA) were used to assess evaluate and compare the different ML models. Results: The logistic regression model had lower sensitivity than the lasso model, while the specificity and AUC area were higher than the random forest and lasso models. Moreover, when the threshold probability range was 0.19-0.25 and 0.45-0.82, the net benefit of the logistic regression model was the largest. The logistic regression model clarified the factors contributing to depression, including gender, general health condition, body mass index (BMI), smoking, OSAHS severity, age, education level, ratio of family income to poverty (PIR), and asthma. Conclusion: This study developed three machine learning (ML) models (logistic regression model, lasso model, and random forest model) using the NHANES database to predict depression and identify influencing factors among OSAHS patients. Among them, the logistic regression model was superior to the lasso and random forest models in overall prediction performance. By drawing the nomogram and applying it to the sleep testing center or sleep clinic, sleep technicians and medical staff can quickly and easily identify whether OSAHS patients have depression to carry out the necessary referral and psychological treatment.
MeSH term(s)	Adult ; Humans ; Cross-Sectional Studies ; Nutrition Surveys ; Depression/epidemiology ; Sleep Apnea, Obstructive/epidemiology ; Syndrome ; Machine Learning
Language	English
Publishing date	2024-01-08
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2023.1348803
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Article: Design and Simulation of Tunneling Diodes with 2D Insulators for Rectenna Switches.

Li, Evelyn / Raju, Parameswari / Zhao, Erhai

Materials (Basel, Switzerland)

2024 Volume 17, Issue 4

Abstract: Rectenna is the key component in radio-frequency circuits for receiving and converting electromagnetic waves into direct current. However, it is very challenging for the conventional semiconductor diode switches to rectify high-frequency signals for 6G ... ...

Abstract	Rectenna is the key component in radio-frequency circuits for receiving and converting electromagnetic waves into direct current. However, it is very challenging for the conventional semiconductor diode switches to rectify high-frequency signals for 6G telecommunication (>100 GHz), medical detection (>THz), and rectenna solar cells (optical frequencies). Such a major challenge can be resolved by replacing the conventional semiconductor diodes with tunneling diodes as the rectenna switches. In this work, metal-insulator-metal (MIM) tunneling diodes based on 2D insulating materials were designed, and their performance was evaluated using a comprehensive simulation approach which includes a density-function theory simulation of 2D insulator materials, the modeling of the electrical characteristics of tunneling diodes, and circuit simulation for rectifiers. It is found that novel 2D insulators such as monolayer TiO
Language	English
Publishing date	2024-02-19
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma17040953
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Article ; Online: Older Woman With Proptosis, Ptosis, and Blurred Vision.

Gibbons, Alison B / Eberhart, Charles / Li, Emily

JAMA ophthalmology

2024 Volume 142, Issue 3, Page(s) 262–263

MeSH term(s)	Female ; Humans ; Aged ; Exophthalmos/diagnosis ; Blepharoptosis/diagnosis ; Blepharoptosis/etiology ; Vision Disorders/diagnosis
Language	English
Publishing date	2024-01-25
Publishing country	United States
Document type	Journal Article
ZDB-ID	2701705-9
ISSN	2168-6173 ; 2168-6165
ISSN (online)	2168-6173
ISSN	2168-6165
DOI	10.1001/jamaophthalmol.2023.6035
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