bluuebunny/crossref_metadata_2025_split huggingface dataset:
Functional Connectivity Correlates of Reduced Goal-directed Behaviors in Behavioural Variant Frontotemporal Dementia
Authors: Godefroy Valérie , Batrancourt Bénédicte , Charron Sylvain , Bouzigues Arabella , Bendetowicz David , Carle Guilhem , Rametti-Lacroux Armelle , Bombois Stéphanie , Cognat Emmanuel , Migliaccio Raffaella , Levy Richard 
Published: January 2022

Abstract
INTRODUCTION: We explored the resting state functional connectivity correlates of apathy assessed as a multidimensional construct, using behavioral metrics, in behavioral variant frontotemporal dementia (bvFTD).METHODS: We recorded the behavior of 20 bvFTD patients and 16 healthy controls (HC) in a close-to-real-life situation including a free phase (FP – in which actions were self-initiated) and a guided phase (GP – in which initiation of actions was facilitated by external guidance). We investigated the activity time and walking episode features as quantifiers of apathy. We used the means ((FP+GP)/2) and the differences (FP-GP) calculated for these metrics as well as measures by questionnaires to extract apathy dimensions by factor analysis. We assessed two types of connectivity measures (local low-frequency signal power and distant seed-based functional connectivity) and explored their relationship with extracted apathy dimensions. RESULTS: Apathy in bvFTD was associated with lower time spent in activity combined with walking episodes of higher frequency, lower acceleration and higher duration. Using these behavioral metrics and apathy measures by questionnaires, we disentangled two dimensions: the global reduction of goal-directed behaviors and the specific deficit of selfinitiation. Global apathy was associated with lower resting state activity within prefrontal cortex and lower connectivity of salience network hubs while the decrease in self-initiation was related to increased connectivity of parietal default-mode network hubs. DISCUSSION: Through a new dimensional approach of apathy, we dissociated the functional connectivity correlates of global apathy and self-initiation deficit. This contributes to better understand the role of functional networks in the production of goal-directed behaviors.
Everolimus-induced Hyperpermeability of Endothelial Cells Causes Lung Injury
Authors: Chen Xiaolin , Chen Jianhui , Liu Shuihong , Li Xianfan 
Published: January 2022

Abstract
Background: The mammalian target of rapamycin (mTOR) inhibitors, everolimus (but not dactolisib), is frequently associated with lung injury in clinical therapies. However, the underlying mechanisms remain unclear. Endothelial cell barrier dysfunction plays a major role in the pathogenesis of the lung injury. This study hypothesizes that everolimus increases pulmonary endothelial permeability, which leads to lung injury.Methods：We tested the effects of everolimus and dactolisib on human pulmonary microvascular endothelial cell (HPMEC) permeability by measuring transendothelial electrical resistance (TEER) and the passage of horseradish peroxidase-albumin (Pa）. F-actin remodeling visualized using immunofluorescent imaging and its related key enzymes were measured by western blotting. Then, we established a mouse model using intraperitoneal injections of everolimus and dactolisib, and the total protein in bronchoalveolar lavage fluid (BALF) and the accumulation of Evans blue dye in lungs were used to examine the lung vascular permeability. The protective effects of myosin light chain (MLC) related pathway inhibitors on everolimus-induced hyperpermeability was observed.Results: Everolimus increased HPMEC permeability, which was confirmed by decreased TEER and an increased transendothelial BSA flux, which was associated with MLC phosphorylation and F-actin stress fiber formation. In contrast, dactolisib did not have effect on the permeability of HPMECs. In addition, inhibition, or knockdown of PKCα or MLC kinase attenuated everolimus-induced hyperpermeability and MLC phosphorylation in HPMECs. Furthermore, everolimus induced an increasing concentration of intracellular calcium Ca2+ leakage in HPMECs and this was normalized with ryanodine pretreatment. Additionally, ryanodine decreased everolimus-induced phosphorylation of PKCα and MLC, and barrier disruption in HPMECs. Consistent with in vitro data, everolimus treatment caused a visible lung-vascular barrier dysfunction, including an increase in protein in BALF and lung capillary-endothelial permeability, which was significantly attenuated by pretreatment with an inhibitor of PKCα, MLCK, and ryanodine. Conclusions: This study shows that everolimus induced pulmonary endothelial hyper-permeability, at least partly, in an MLC phosphorylation-mediated EC contraction which is influenced in a Ca2+-dependent manner and can lead to lung injury.
New 1,1-diarylethylene FOXM1 inhibitors potently reduce intracellular FOXM1 and suppress high-grade serous ovarian carcinoma cell viability
Authors: Liu Cassie , Muñoz-Trujillo Catalina , Kim Sung Hoon , Katzenellenbogen John A. , Katzenellenbogen Benita S. , Karpf Adam R. 
Published: January 2022

Abstract
As an oncogenic transcription factor highly upregulated in numerous cancer types and responsible for promoting multiple hallmarks of the disease, Forkhead Box M1 (FOXM1) is a promising target for treatment against high-grade ovarian serous carcinoma (HGSC), a lethal and aggressive cancer that overexpresses FOXM1 and its transcriptional pathway. Several FOXM1 inhibitors have been established, but none have advanced to clinical trials. In this study, we report that our recently developed 1,1-diarylethylene FOXM1 inhibitors (NB compounds) potently and selectively inhibit HGSC cell viability, more so than a panel of other reported FOXM1 inhibitors. The NB compounds decreased FOXM1 expression through proteasomal degradation, which resulted in decreased expression of its downstream target cyclin B1 (CCNB1), without affecting other FOX family members. Moreover, the NB compounds exhibited robust anti-cancer effects by promoting apoptosis, suppressing colony formation more potently than other FOXM1 inhibitors, and synergizing with carboplatin to inhibit the viability of HGSC cells. Our data demonstrate that the NB compounds are promising FOXM1 inhibitors that may serve as a novel therapeutic strategy for HGSC and other cancers whose aggressive cancer biology is driven by FOXM1 and its oncogenic transcriptional pathway.
Normal coronary myocardial infarction due to COVID-19: A case series
Authors: Kazemi Erfan ,   Mehran Gheshlaghi1, Mansoursamaei Ali , Homatash Saba , Sheibani Hossein 
Published: January 2022

Abstract

Background: The prevalence of cardiovascular complications in COVID-19 infection varied in different studies. One of these complications is myocardial infarction. A disturbance of the blood supply can lead to myocardial infarction by clot formation in the arteries. However, no evidence of significant coronary stenosis has been found in more than 50% of patients with COVID-19 and ST elevation.Case Presentation: 38 and 49 years old men (patients 1,2) were admitted to our hospital with the complaint of typical chest pain and COVID-19 symptoms. The real-Time Polymerase Chain Reaction (RT-PCR) test confirmed COVID-19 in both. Patient 1 represented inferior posterior ST-Elevation Myocardial Infarction (STEMI) in his electrocardiogram (ECG). Also, patient 2 has ST-elevation in high lateral and septal leads (I, AVL, V1, V2) and ST-segment depression in AVR and inferior leads (III, AVF). Their troponin was positive. The vital signs were normal in both of them. Patient 2 just had a history of aortic valve replacement (AVR) 5 years ago. However, Patient 1 had no medical history. Transthoracic Echocardiography (TTE) data demonstrated some disturbances in patient 1 Severe hypokinesia of Inferior, Posterior, Lateral, and Septal walls. However, TTE data were unremarkable for patient 2. We prescribed recommended medications for them. Therefore, their ECG changes were corrected, and his condition improved. In addition, Coronary angiography was done that demonstrated patent and normal coronary arteries in both of them.Conclusion: COVID-19 infection can cause normal coronary arteries myocardial infarction with probable two mechanisms prolonged vasospasm or intraluminal coronary thrombogenesis.
Students’ Academic Performance Prediction Model Using Machine Learning
Authors: Sudais Muhammad , Safwan Muhammad , Khalid Maryam Aisha , Ahmed Shaheer 
Published: January 2022

Abstract
Providing quality education to students is the main objective of higher education institutions. The need of identifying students with weak performances has been a rising problem and most teachers have relied on calculating the average of exam grades. The main objective of our project is to predict and identify the students who might fail in semester examinations. This would prove helpful for teachers in providing additional assistance to such students. The data which was analyzed consisted of students’ transcript data that included their CGPA and grades in all courses which were taken from a university. The machine learning algorithms which were used in this research include; Naïve Bayes classifier, Neural Network, Support Vector Machine, and Decision Tree classifier. A comparative analysis has been performed on the obtained accuracy results of the algorithms used. This research shows that machine learning proves useful in predictions, but there is a lot more work to be done using this technology.
Genomic analyses identify marker molecules and processes in metastatic breast cancer tissues
Authors: Wang Xiuying , Wang Mengyao , Gu Hanming , Liu James 
Published: January 2022

Abstract
Breast cancer metastasis is the major reason for deaths from breast cancer. Identification of breast cancer metastasis is of great importance for the management and prediction of cancer progression. However, the key genes and signaling pathways remain unclear in metastatic breast cancers. Our objective is to find the key molecules and signaling pathways by analyzing the RNA-sequence data. The GSE189411 was constructed by the Illumina NovaSeq 6000 (Mus musculus). The KEGG and GO analyses showed the cytokine−cytokine receptor interaction and human papillomavirus infection are the two major processes during the liver metastasis of breast cancer cells. Moreover, we discovered ten key relevant molecules including ITGB2, FCGR3A, CD86, CD80, FOXP3, SYK, CCR5, VCAM1, RAC2, ICAM1. Our study may provide novel insights for the early diagnosis of breast cancer metastasis.
Learning Interpretable Diagnostic Features of Tumor by Multi-task Adversarial Training of Convolutional Networks: Improved Generalization
Authors: Graziani Mara , Otalora Sebastian , Marchand-Maillet Stéphane , Müller Henning , Andrearczyk Vincent 
Published: January 2022

Abstract
Adopting Convolutional Neural Networks (CNNs) in the daily routine of primary diagnosis requires not only near-perfect precision, but also a sufficient degree of generalization to data acquisition shifts and transparency. Existing CNN models act as black boxes, not ensuring to the physicians that important diagnostic features are used by the model.
Building on top of successfully existing techniques such as multi-task learning, domain adversarial training and concept-based interpretability, this paper addresses the challenge of introducing diagnostic factors in the training objectives.
Here we show that our architecture, by learning end-to-end an uncertainty-based weighting combination of multi-task and adversarial losses, is encouraged to focus on pathology features such as density and pleomorphism of nuclei, e.g. variations in size and appearance, while discarding misleading features such as staining differences.
Our results on breast lymph node tissue show significantly improved generalization in the detection of tumorous tissue, with best average AUC 0.89 (0.01) against the baseline AUC 0.86 (0.005).
By applying the interpretability technique of linearly probing intermediate representations, we also demonstrate that interpretable pathology features such as nuclei density are learned by the proposed CNN architecture, confirming the increased transparency of this model.
This result is a starting point towards building interpretable multi-task architectures that are robust to data heterogeneity.
Our code is available at https://bit.ly/356yQ2u.
Predicting the potential for zoonotic transmission and host associations for novel viruses
Authors: Pandit Pranav , Anthony Simon , Goldstein Tracey , Olival Kevin , Doyle Megan , Gardner Nicole , Bird Brian , Smith Woutrina , Wolking David , Gilardi Kristen , Monagin Corina , Kelly Terra , Uhart Marcela , Epstein Jonathan , Machalaba Catherine , Rostal Melinda , Dawson Patrick , Hagan Emily , Sullivan Ava , Li Hongying , Chmura Aleksei , Latinne Alice , Lange Christian , O'Rourke Tammie , Olson Sarah , Keatts Lucy , Mendoza A. Patricia , Perez Alberto , de Paula Catia Dejuste , Zimmerman Dawn , Valitutto Marc , LeBreton Matthew , McIver David , Islam Ariful , Duong Veasna , Mouiche Moctar , Shi Zheng-Li , Mulembakani Prime , Kumakamba Charles , Ali Mohamed , Kebede Nigatu , Tamoufe Ubald , Bel-Nono Samuel , Camara Alpha , Pamungkas Joko , Coulibaly Julien Kalpy , Abu-Basha Ehab , Kamau Joseph , Silithammavong Soubanh , Desmond James , Hughes Tom , Shiilegdamba Enkhtuvshin , Aung Ohnmar , Karmacharya Dibesh , Nziza Julius , Ndiaye Daouda , Gbakima Aiah , Sijali Zikankuba , Wacharapluesadee Supaporn , Robles Erika Alandia , Ssebide Benard , Suzán Gerardo , Aguirre Luis , Solorio Monica , Dhole Tapan , Hitchens Peta , Joly Damien , Saylors Karen , Fine Amanda , Murray Suzan , Karesh William , Daszak Peter , Mazet Jonna , Consortium PREDICT , Johnson Christine 
Published: January 2022

Abstract
Host-virus associations have co-evolved under ecological and evolutionary selection pressures that shape cross-species transmission and spillover to humans. Observed virus-host associations provide relevant context for newly discovered wildlife viruses to assess knowledge gaps in host range and estimate pathways for potential human infection. Using models to predict virus-host networks, we predicted the likelihood of humans as host for 513 newly discovered viruses detected by large scale wildlife surveillance at high-risk animal-human interfaces in Africa, Asia, and Latin America. Predictions indicated that novel coronaviruses are likely to infect a greater number of host species than viruses from other families. Our models further characterize novel viruses through prioritization scores and directly inform surveillance targets to identify host ranges for newly discovered viruses.
The Potential to use Variations in Tree-Ring Geometric Center to Estimate Past Wind Speed Change
Authors: Fang Keyan , He Maosheng , Bai Maowei , Dong Zhipeng , Linderholm Hans W. , Azorin-Molina Cesar , Guo Zhengtang 
Published: January 2022

Abstract

Tree radial growth is characterized by not only the annual ring-width increment but also shifts in the tree-ring geometric center (TRGC) if subjected to asymmetric external forcing, such as prevailing winds. Previous dendrochronological studies have used the asymmetric growth derived from tree-ring widths to reconstruct wind speed changes. Here we propose a novel method use quantitative TRGC measurements to estimate wind speed. We investigated TRGC shifts in northeast China, where the prevailing westerly winds are strong and persistent. We found that the TRGC showed significant correlations (r = 0.64, p < 0.01) with wind speed in May-September. The higher tree geometry sensitivity to wind speed obtained with the new method compared to previous ones, suggests the possibility of reconstructing historical wind change and variability in prevailing winds using TRGC. In addition, by correcting tree-ring radius according to their TRGC shifts, the basal area increment (BAI) was calculated. Our new BAI estimation provided stronger correlations with climate than both the standard tree-ring width chronology and a traditional BAI estimation. We suggest that future dendrochronological studies should consider TRGC shifts to increase the accuracy in climate reconstructions.
Evaluating the impact of climate change on surface water resources in the upper Ganjiang River Basin, China
Authors: Song Peibing , Wang Chao , Ding Gongbo , Sun Jiahui , Kong Lingzhong , Lu Mengtian , Lei Xiaohui , Wang Hao 
Published: January 2022

AbstractProjecting surface runoff is a meaningful task for rational allocation and optimal scheduling of water resources. Aimed at exploring the impact of climate change on surface water resources, the basin-scale water-balance model coupled with the Budyko-type equation was developed for the upper Ganjiang River Basin (UGRB). Studies demonstrated that the Budyko-CY function is the optimal water-balance model, with a Nash–Sutcliffe efficiency (NSE) of 0.843 in the calibration period and 0.653 in the validation period, respectively. The increase in temperature by 1 °C may bring about a 2.5–4.7% runoff decline, while the 10% increase in precipitation may lead to a 12.1–14.3% runoff ascent. The annual mean temperature is expected to grow by 0.69, 0.68 and 0.97 °C in the next 30 years relative to that during the reference period, respectively. Similarly, the surface runoff is estimated to increase by 8.4, 6.5 and 5.0% on a multi-year average scale, respectively. This study is beneficial to provide possibilities for climate scenarios that may occur in the future, and the results presented herein are capable of giving a reference for the planning and management of water resources in the UGRB.
A cross-sectional study on infectious health risks regarding freshwater sports practice in Brittany, France
Authors: Velardo Fanny , Bouziri Hanifa , Adélaïde Lucie , Oliosi Emma , Layan Maylis , Descamps Alexandre , Berthod Delphine , Patlán-Hernández Alan R. , Ledrans Martine , Pivette Mathilde , Lefort Mathilde , Roux Jonathan , Crépey Pascal 
Published: January 2022

Abstract
Freshwater sports expose practitioners to pathogens in the water environment and may result in infection. In French Brittany, these infections are particularly worrying, especially since 2016 with an increase in the incidence of leptospirosis reaching 1 case per 100,000 inhabitants, which represents the highest incidence observed since 1920. We aimed to estimate the prevalence of infectious diseases related to freshwater sports practice and to identify the factors associated with these infections among freshwater sports licensees in Brittany, France. From March 18, 2019, to May 8, 2019, we interviewed freshwater sports licensees (online study) and club presidents and instructors (phone study) in Brittany. Licensee participants were 18 years old or more and practiced at least one freshwater sport in one of the 79 Brittany clubs. We used logistic regression models to study the association between our variables of interest and potential risk factors. In total, 551 licensees (20.3% of the total number of licensees) and 38 clubs (48.1%) were surveyed. Among the licensees, 29 (5.3%) reported being diagnosed with leptospirosis, of which 12 (41.3%) occurred in the last 5 years. The most reported symptoms were skin irritation/itchy skin (24.3%) and 39 individuals (7.1%) reported at least one hospitalization in their lifetime for a disease related to freshwater sports. The occurrence of leptospirosis was negatively associated with boarding from a pontoon (odds ratio (OR)=0.20, 95% confidence interval (95% CI) 0.06–0.56), practicing for less than 4 years (OR=0.17, 95% CI 0.04–0.56) compared to more than 10 years, and the occurrence of leptospirosis was positively associated with taking a soapy shower after practice (OR=4.38, 95% CI 1.90–10.51). Eskimo roll was positively associated with the occurrence of otitis and conjunctivitis (OR=3.22, 95% CI 1.82–6.03), and skin irritation/itchy skin (OR=1.66, 95% CI 0.99–2.84). Otitis, conjunctivitis, and skin irritation/itchy skin are the most commonly reported freshwater sport-related diseases in French Brittany. Despite a good level of knowledge of prevention measures, their implementation by licensees and clubs remains low. Further studies are needed to identify practices associated with infectious risk in freshwater sports.
Analysis of denitrification performance and microbial community structure in a bio-electrochemical reactor under different current densities with wheat-rice stone powder
Authors: Liu Hengyuan , Hu Qili 
Published: January 2022

Abstract
Nitrate widely exists in water pollution and is the most stable form of nitrogen pollution. This study investigated the effect of the current density (CD) and the wheat-rice stone powder (WP) on denitrification performance, microbial diversity and enzyme activity in a bio-electrochemical reactor (BER). It was found that an optimum CD of 200 mA/m2 and the addition of WP significantly improved the nitrate removal rate constant compared with the control group (12.28 d−1 versus 9.75 d−1) and remarkably reduced the intermediate accumulation of nitrite. The application of both optimum CD and WP enhanced the microbial diversity and catalytic activity of nitrate reductase (Nar) and nitrite reductase (Nir). The most dominant microbial taxa in our reactor were Methyloversatilis, Methylotenera, and an unclassified genus of the family Methylophilaceae. Moreover, WP allowed the denitrifiers to better withstand the stress of high CD. This study presented results supporting the use of an optimum CD and natural mineral addition to improving the performance of the denitrification process within a BER.
Long-term investigations on ammonium removal with zeolite in compact vertical flow treatment wetlands under field conditions
Authors: Ruiz-Ocampo Hernán , Tondera Katharina , Paing Joëlle , Molle Pascal , Chazarenc Florent 
Published: January 2022

Abstract
The scope of this study was to investigate if using zeolite as a reactive material in a vertical-flow wetland under field conditions improves ammonium removal from domestic wastewater in the long term. The experimental setup consisted of two pilot-scale first stage French vertical flow treatment wetlands (2.3 m2 surface area each), which were implemented under field scale conditions inside a wastewater treatment plant in the central region of France (L'Encloitre, 37360). The filters were operated during 27 months. A compact pilot containing Leca® as a main filtration layer (Ø 1–5 mm) was compared to a similar one filled with natural zeolite (Ø 2–5 mm). The pilots were fed according to regular feeding/resting periods (3½/7 days) and the nominal loading rate was of 300 g COD m−2 d−1 and 33 g·N·m−2·d−1 during operation. In both pilots, results showed a removal efficiency of more than 90 and 85% for TSS and COD, respectively. They also showed an increased NH4-N removal of 9% on average (total removal efficiency of 84%) with the use of zeolite compared to Leca®. The ion exchange capacity of zeolite seemed not to be affected after 27 months of experiments; however, the material was compacted and more friable after operation.