bluuebunny/crossref_metadata_2025_split huggingface dataset:
FIOLA: An accelerated pipeline for Fluorescence Imaging OnLine Analysis
Authors: Giovannucci Andrea , Cai Changjia , Dong Cynthia , Rozsa Marton , Pnevmatikakis Eftychios 
Published: October 2021

Abstract
Optical microscopy methods such as calcium and voltage imaging already enable fast activity readout (30-1000Hz) of large neuronal populations using light. However, the lack of corresponding advances in online algorithms has slowed progress in retrieving information about neural activity during or shortly after an experiment. This technological gap not only prevents the execution of novel real-time closed-loop experiments, but also hampers fast experiment-analysis-theory turnover for high-throughput imaging modalities. The fundamental challenge is to reliably extract neural activity from fluorescence imaging frames at speeds compatible with new indicator dynamics and imaging modalities. To meet these challenges and requirements, we propose a framework for Fluorescence Imaging OnLine Analysis (FIOLA). FIOLA exploits computational graphs and accelerated hardware to preprocess fluorescence imaging movies and extract fluorescence traces at speeds in excess of 300Hz on calcium imaging datasets and at speeds over 400Hz on voltage imaging datasets. Besides, we present the first real-time spike extraction algorithm for voltage imaging data. We evaluate FIOLA on both simulated data and real data, demonstrating reliable and scalable performance. Our methods provide the computational substrate required to interface precisely large neuronal populations and machines in real-time, enabling new applications in neuroprosthetics, brain-machine interfaces, and experimental neuroscience. Moreover, this new set of tools is poised to dramatically shorten the experiment-data-theory cycle by providing immediate feedback on the activity of large neuronal populations at experimental time.
Diverse Responses of Phenology in Multi-Grassland to Environmental Factors on Qinghai-Tibetan Plateau in China
Authors: Qin Gexia , Adu Benjamin , Li Chunbin , Wu Jing 
Published: October 2021

Abstract
Revealing grassland growing season spatial patterns and their climatic controls is crucial for the understanding of the productivity change mechanism in regional terrestrial ecosystem. However, the multi-grassland phenological factors are different, which has not been well studied. In this paper, the spatio-temporal patterns of the grassland start of the growing season (SOS) and the end of growing season (EOS) were investigated using MODIS Normalized Difference Vegetation Index (NDVI) on the Qinghai-Tibetan Plateau (QTP) during 2000 to 2019. At the same time, we analyzed the factors (including extreme and mean climate, drought, solar radiation, etc.) regulating grassland phenology under ongoing climate change. The results showed that the SOS appeared first in mountain meadow, shrub-tussock, temperature steppe and desert, then in alpine steppe and alpine meadow, showed a significant advancing tendency in all types. The EOS appeared first in temperature steppe, alpine steppe and alpine meadow, then in mountain meadow, shrub-tussock and desert. Further analysis indicated that the decrease of yearly minimum value of daily minimum temperature (TNN), yearly maximum value of daily minimum temperature (TNX), Temperature vegetation dryness index (TVDI) and the increase of yearly maximum consecutive five-day precipitation (RX5day) advance the grassland spring phenology, whereas the increase of solar radiation (SR) delay the grassland spring phenology. Meanwhile, SOS and its change rate showed the trend of significant delay and decline with the increase of altitude, respectively. We also found that the decrease of TVDI, TNN and the increase of yearly mean value of temperature (MAT_MEAN), yearly mean value of daily maximum temperature (MAT_MAX) and yearly mean value of daily minimum temperature (MAT_MIN) advanced the autumn phenology. The EOS and its change rate advance and increase with increasing altitude, respectively.
Impact of Family Function on Mental Health Problems of College Students in China During COVID-19 Pandemic and Moderating Role of Coping Style: A Longitudinal Study
Authors: Liu Lili , Chen Jianbin , Liang Shunwei , Yang Wenwen , Peng Xiaodan , Cai Chengcheng , Huang Andi , Wang Xiayong , Zhao Jingbo 
Published: October 2021

Abstract
Background. During the COVID-19 pandemic, college students were required to stay at home and maintain social distancing the entire spring semester of 2020. There is little research on how family function influenced mental health problems and how coping styles moderated the relationship between family function and mental health problems among college students during their stay-at-home period.Methods. We carried out four evaluations between February and October 2020 through an online survey. A total of 13,462 college students (age = 16--29 years) participated. Family function, coping styles, depression symptoms, and anxiety symptoms were studied. To evaluate the associations between variables, a generalized estimating equation was used. Results. Findings indicate that the incidence rates of depression rose during stay-at-home period from 33.87% to 40.08% after schools reopened. The incidence rates of anxiety rose from 17.45% to 26.53% through the entire period. The two-way interaction of time × family function for depression and anxiety were significant (χ2 = 52.97, p < 0.001 and χ2 = 51.25, p < 0.001, respectively). The three-way interaction of time × family function × coping style were also significant for depression and anxiety (χ2 = 862.09, p < 0.001 and χ2 = 583.29, p < 0.001, respectively) Conclusions. These findings shed light on how family function intersected with coping styles to influence the mental health problems of college students during and after the stay-at-home period of COVID-19.
Copper restoration by liver Ceruloplasmin ablation ameliorates NAFLD via SCO1-AMPK-LKB1 complex
Authors: Liu Junli , Xie Liping , Yuan Yanmei , Xu Simiao , Lu Sijia , Wang Yanping , Wang Yibing , Zhang Xianjing , Chen Suzhen , Lu Junxi , Sun Honglin , Hu Ruixiang , Piao Hai-long , Wang Cunchuan , Wang Jing , Li Na , White Morris , Jia Weiping , Miao Ji 
Published: October 2021

Abstract
Copper is an essential nutrient and a co-factor of numerous enzymes governing a wide range of intracellular processes. Copper deficiency has emerged to be associated with various lipid metabolism diseases, including non-alcoholic fatty liver disease (NAFLD). However, the molecular mechanisms of how copper regulates lipid metabolism and is sensed remain elusive. Here, we reveal that copper elevation caused by hepatic ceruloplasmin (CP) ablation enhances lipid catabolism by promoting the assembly of copper-load SCO1/AMPK complex. We report that overnutrition-mediated CP elevation results in hepatic copper loss, and that liver-specific CP ablation counteracts this reduction in copper levels and ameliorates NAFLD in mice. Mechanistically, SCO1 constitutively interacts with LKB1 even in the absence of copper, and copper-loaded SCO1 directly tethers LKB1 to AMPK, thereby activating AMPK and consequently promoting mitochondrial biogenesis and fatty acid oxidation in hepatocytes. Therefore, this study reveals an unexpected role for AMPK to sense copper alteration via SCO1 and uncovers a previously unidentified mechanism by which copper, as a signaling molecule, improves hepatic lipid catabolism, and indicates that targeting copper-AMPK signaling pathway ameliorates NAFLD development by modulating AMPK activity.
Gut metagenome associations with extensive digital health data in a volunteer-based Estonian microbiome cohort
Authors: Aasmets Oliver , Krigul Kertu , Lüll Kreete , Metspalu Andres , Org Elin 
Published: October 2021

Abstract
Microbiome research is starting to move beyond the exploratory phase towards interventional trials and therefore well-characterized cohorts will be instrumental for generating hypothesis and providing new knowledge. As part of the Estonian Biobank (EstBB), we established the Estonian Microbiome Cohort (EstMB) which includes stool, oral and plasma samples from 2,509 participants and is supplemented with multi-omic measurements, questionnaires, and regular linkages to national electronic health records (EHRs). In this study, we analyzed stool data from deep metagenomic sequencing together with rich phenotyping, including 71 diseases, 136 medications, 21 dietary questions, 5 procedures, and 19 other factors. The data revealed numerous relationships (n = 3262) with different microbiome features. Additionally, we present that long-term antibiotic usage, independent from recent administration, has a significant impact on the microbiome composition, partly explaining the common associations between diseases. Overall, this study extends the understanding of microbiome–host interactions and facilitates the development of microbiome-related studies.
Mosquito control, killing off the females
Authors: Tran Phi 
Published: October 2021

Abstract
In addition to causing discomfort, female mosquitoes introduce disease-carrying viruses and bacteria into the bloodstream of their victims. There are numerous publications describing the uses of sugary mosquito baits with promising results. However, without temperature control measures, these methods are mainly useful for only nectar feeding insects, including male mosquitoes, because the warmth of the blood is a condition for the females to locate their meals. The efforts required to keep the baits fresh against the natural spoiling process make them less attractive or impractical to implement. These experiments address these issues by using warm baits of water, sugar, boric acid and antibiotics. On the surface, the area became a sought-out island where mosquito activities flourished; nevertheless, the mosquitoes were exclusively males (almost). Control vs. experiment protocol established no other logical explanation for this phenomenon other than that the females were attracted and killed by the bait. As expected, there was no mosquito egg laying in these areas.
Adsorption Behaviors and Mechanisms of Cu2+, Zn2+ and Pb2+ by Magnetically Modified Lignite
Authors: Di Junzhen , Ruan Zhen , Zhang Siyi 
Published: October 2021

Abstract
In order to solve the problems of high content of Cu2+, Zn2+ and Pb2+ in acid mine wastewater (AMD), and limited adsorption capacity of lignite, the lignite was used as raw material to prepare magnetically modified lignite (MML), and adsorption performance of lignite and MML on Cu2+, Zn2+ and Pb2+ was investigated by static beaker experiment and dynamic continuous column experiment. At the same time, the adsorption mechanism was revealed by means of scanning electron microscopy (SEM), X-ray diffractometer (XRD) and Fourier transform infrared spectrometer (FTIR). The results showed that the adsorption processes of lignite and MML on heavy metal ions were more consistent with the Langmuir model, obeying the quasi first-order model and quasi second-order model, respectively. In addition, the intraparticle diffusion model indicated that the adsorption processes were jointly controlled by multiple adsorption stages. The dynamic continuous column experiments showed that the average removal rates of Cu2+, Zn2+ and Pb2+ were 78.00%, 76.97% and 78.65% for lignite and 82.83%, 81.57% and 83.50% for MML, respectively. Compared with lignite, the adsorption effect of MML was better. From SEM, XRD and FTIR tests, it can be seen that the magnetic modification process successfully loads Fe3O4 onto the surface of lignite, making the surface morphology rougher, and the adsorption process of MML on Cu2+, Zn2+ and Pb2+ is related to the O-H stretching vibration of carboxylic acid ions and Fe-O stretching vibration of Fe3O4 particles.
Risk Factors Associated with Malaria Infection Identified through Reactive Case Detection in Zanzibar, 2012-2019
Authors: Mkali Humphrey Raphael , Reaves Erik J. , Lalji Shabbir M. , Al-mafazy Abdul-wahid , Joseph Joseph J. , Ali Abdullah S. , Abbas Faiza B. , Ali Mohamed H. , Hassan Wahida S. , Kitojo Chonge , Serbantez Naomi , Kabula Bilali I. , Nyinondi Ssanyu S. , Bisanzio Donal , McKay Mike , Eckert Erin , Reithinger Richard , Ngondi Jeremiah M. 
Published: October 2021

Abstract
BackgroundOver the past two decades, Zanzibar substantially reduced malaria burden. As malaria decreases, sustainable improvements in prevention and control interventions may increasingly depend on accurate knowledge of malaria risk factors to further target interventions. This study aimed to investigate the risk factors associated with malaria infection in Zanzibar. MethodsWe analyzed surveillance data from Zanzibar’s Malaria Case Notification system collected between August 2012 and December 2019. This system collects data from all malaria cases passively detected and reported by public and private health facilities, from household-based follow-up and reactive case detection activities linked to those primary cases. All members of households of the passively detected malaria cases were screened for malaria using a malaria rapid diagnostic test (mRDT); individuals with a positive mRDT result were treated with artemisinin-based combination therapy. Univariate and multivariate logistic regression analyses were done to investigate the association between mRDT positivity among the household members and explanatory factors (i.e., age, sex, history of fever, history of travel, rainfall, long-lasting insecticidal net [LLIN] density, LLIN use, household indoor residual spraying [IRS], and household location) with adjustment for seasonality ResultsThe findings show that younger age (p-value for trend<0.001), history of fever in the last two weeks (odds ratio [OR]=32.0; 95% CI: 29.1-35.3), history of travel outside Zanzibar in the last 30 days (OR=2.3; 95% CI: 2.1-2.6) and living in Unguja (OR=1.2; 95% CI: 1.1-1.3) were independently associated with increased odds of mRDT positivity. In contrast, male sex (OR=0.8; 95% CI: 0.7-0.9), having higher household LLIN density (p-value for trend<0.001), sleeping under an LLIN the previous night (OR=0.8; 95% CI: 0.7-0.9), and living in a household that received IRS in the last 12 months (OR=0.9; 95% CI: 0.8-0.9) were independently associated with reduced odds of mRDT positivity. A significant effect modification of combining IRS and LLIN was also noted (OR=0.7; 95% CI:0.6-0.8).Conclusions﻿The findings suggest that vector control remains an important malaria prevention intervention: they underscore the need to maintain universal access to LLINs, the persistent promotion of LLIN use, and application of IRS. Additionally, enhanced behavioral change and preventive strategies targeting children aged 5-14 years and travelers are needed.
Utilization of Long-lasting Insecticide Treated Net and Associated Factors Among Pregnant Women in Awabel District,North-West Ethiopia, 2017
Authors: Tariku Mengistie Kassahun 
Published: October 2021

Abstract
BackgroundUtilization of long-lasting insecticide treated net (LLITN) is one of the main vector control activities. It has a killing, repellent and physical barrier effects against mosquito. Even if priority is given for pregnant women, not all nets owned by household have been utilized by pregnant women. The objective of the study was to assess utilization of Long-lasting insecticidal net and associated factors among pregnant women in malarious kebeles, Awabel woreda, North-West Ethiopia.MethodsA community-based cross-sectional study was conducted from May 1 to June 30, 2017. A systematic random sampling was used to select 422 households. Two days training was given for data collectors and supervisors. Collected data were coded and entered using epi-data version 3.1, then it was exported to Statistical Package for Social Science (SPSS) version 20. After bivariate logistic regression analysis, all variables with a p-value less than or equal to 0.25was entered into multivariable logistic regression and p value < 0.05 considered as significantly associated with the outcome variable. ResultsUtilization of LLITN was 33.6%. Factors such as attending antenatal care [adjusted odd ratio (AOR) =1.89; 95% CI; 1.04-3.44], traveling <1 hour to reach health facility AOR=4.41; 95% CI; 2.06-9.43], age ≥ 35 year [AOR= 3.67; 95% CI; 1.36-9.95], knowledge [AOR=11.68; 95% CI; 5.96-22.89] and having positive attitude [AOR=3.12; 95 CI; 1.66-5.88] were significantly associated with utilization of LLITN.ConclusionThis study showed that low utilization of LLITN. Attending antenatal care (ANC), traveling <1 hour to reach health facility, age ≥ year, knowledge and attitude had positive association with LLITN utilization. Every concerned body should focus on reducing distance barrier by giving outreach services and increasing ANC, the attitude and knowledge of pregnant women toward malaria and LLITN which might increase utilization of LLITN.
Establishment of a Standard Micropropagation Protocol for the Production of Uniform Planting Material in Musa Laterita (Section: Rhodochlamys).
Authors: M.S. Saraswathi. , Mahendran J , Karthi Chinnadurai , Umabharathi Murugesan , Salini Arumugam Palanivelu , Durai Palani , Uma Subbaraya 
Published: October 2021

Abstract
Musa laterita is one of the dwarf statured, ornamental Musa species, which belongs to the section Rhodochlamys. It is immune to Sigatoka leaf spot and Fusarium wilt diseases and also exhibits tolerance to moisture deficit stress. Among the fungal diseases, fusarium wilt especially race TR4 is highly threatening the banana industry worldwide and hence the TR4 resistant gene should be identified on priority for use in banana improvement programmes. Though, it is a wild seeded type which can be easily propagated through seeds, the off springs are not genetically uniform making it unfit for any molecular analysis. In vitro micro propagation of ornamental banana including Musa laterita is limited due to poor multiplication rates compared to commercial cultivars. Therefore, the present study was undertaken to establish an in vitro protocol for plant regeneration from shoot tip explants. Efforts were made to enhance the multiplication efficiency using MS media fortified with BAP, TDZ, NAA, IAA and IBA in different combinations so as to obtain maximum numbers of plantlets in minimum duration. The plantlets produced would be used to study the molecular mechanism behind Fusarium wilt resistance (TR4), through transcriptome analysis.
A Multimodal Deep Learning-based Platform that Assists in the Classification of Lupus Subtypes and Differential Diagnosis Among Lupus and Other Similar Skin Diseases
Authors: Lu Qianjin , Li Qianwen , Yang Zhi , Chen Kaili , Zhao Ming , Long Hai , Deng Yueming , Hu Haoran , Jia Chen , Wu Meiyu , zhao Zhidan , Zhu Huan , Zhou Suqing , Zhao Mingming , Jiang Yiqun , Zhang Wei , Zhang Bo , HE Yanling , RAN Liwei , Zhang Chunlei , Wu Wenting , Suolang Quzong , Luo Hanhuan , Kang Xiaojing , Wu Caoying , Jin Hongzhong , Chen Lei , Guo Qing , Gui Guangji , Li Shanshan , Si Henan , Guo Shuping , Liu Hongye , Liu Xiguang , Ma Guozhang , Deng Danqi , Yuan Limei , Lu Jianyun , Zeng Jinrong , Jiang Xian , Lyu Xiaoyan , Chen Liuqing , Hu Bin , Tao Juan , Liu Yuhao , Wang Gang , Zhu Guannan , Yao Zhirong , Xu Qianyue , Yang Bin , Wang Yu , Ding Yan , Yang Xianxu , Hu Kai , Wu Haijing 
Published: October 2021

Abstract
Lupus erythematosus (LE) has the reputation of being the Great Imitator due to its various cutaneous manifestations, which often lead to difficulties in accurate diagnosis and classification. Even with the assistance of deep learning systems (DLSs), clinical skin image-based single modalities still experience difficulty distinguishing subtypes of LE. Here, we present an application of multimodal DLS (MMDLS), in which the training database consists of clinical skin images, multi-immunohistochemistry (multi-IHC) images and the 2019 European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) scores, to assist in the classification of LE subtypes (discoid LE (DLE), annular subacute cutaneous LE (A-SCLE), papulosquamous subacute cutaneous LE (P-SCLE), systemic LE (SLE)) and to aid in the differential diagnosis of other similar skin diseases. A total of 386 cases with 580 clinical skin images, 3380 multi-IHC images and 2019 EULAR/ACR scores from 25 institutions in China were included, and EfficientNet-B3 and ResNet-18 were utilized in this study. By comparing the single-modal and dual-modal DLS performances in multiple classifications, we demonstrate the superiority of the MMDLS (Ave-Sen = 0.9116, Ave-Spe = 0.9921, Ave-Pre = 0.9281). Moreover, the performance of MMDLS on 13 classifications was superior to that of dermatologists and pathologists (F1 score: dermatologists = 0.4471, pathologists = 0.6691, MMDLS = 0.9582) with an average area under the curve (AUC) of 0.9956. These results highlight the potential of the combined application of MMDLS and multi-IHC images to assist pathologists and dermatologists in diagnosing LE subtypes and similar skin diseases.
Efficient tetracycline removal from aqueous solutions using ionic liquid modiﬁed magnetic activated carbon (IL@mAC)
Authors: Bazrafshan Edris , Zarei Amin Allah , Mohammadi Leili , Zafar Muhammad Nadeem , Foroughi Maryam , Aman Summan , Sabri Faezeh , Mahvi Amir Hossein , Barahuie Farahnaz , Zafar Muddassar 
Published: October 2021

Abstract

Tetracycline (TCy) belongs to PPCPs is such an widely used antibacterial drug, which is discharged from urban wastewater treatment plants or agricultural efଂuents. Due to low metabolism, poor absorption, overuse, and misuse, TCy is considered as threat to environmental and its removal from waste-water is vital. In this research, a novel ionic liquid modiଁed magnetic activated carbon nanocomposite (IL@mAC) was synthesized, characterized, and the adsorption efficiency of IL@mAC for removal of TCy was investigated under different operational parameters of pH (3-11); dose of IL@mAC (0.01-0.1 g/50 mL); reaction time (30-240 min), and initial TCy concentration (50-1500 mg/L). The IL@mAC characterization was done using XRD, VSM, SEM-EDX, BET, and FTIR. Results of equilibrium experiment showed that the highest removal efficiency (~98%) was obtained using 0.06 g of IL@mAC in 135 min at pH 7 and temperature 303 K. Considering the correlation coefficients (R2) for different adsorption models, it can be deduced that adsorption of TCy onto IL@mAC is better followed by Langmuir (0.9985) in comparison to Freundlich (0.9322), and Temkin (0.9654) models. Furthermore, Langmuir adsorption capacity was observed to be 895.0 mg/g. The regeneration study showed that IL@mAC retained around 85% TCy adsorption efficiency after 6th cycle. Finally, the present study indicates that the IL@mAC is of a high applicability and has extremely high adsorbent capacity to remove TCy from water compared to most of other benchmark adsorbents reported in literature.