bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact and Sensitivity Analysis of Soil Water and Heat Transfer Parameterizations in Community Land Surface Model on the Tibetan Plateau
Authors: Deng Mingshan , Meng Xianhong , Lu Yaqiong , Li Zhaoguo , Zhao Lin , Hu Zeyong , Chen Hao , Shang Lunyu , Wang Shaoying , Li Qian 
Published: August 2021

AbstractSoil water and heat transfer is especially complicated during the freezing and thawing processes over the high‐altitude cold regions. In this study, four sensitivity tests of soil water and heat transfer parameterizations including replacing soil property data (SP1), soil resistance scheme modification (SP2), soil thermal conductivity scheme (SP3) and virtual temperature scheme (SP4), and four combination experiments (SP1+SP2+SP3/SP5, SP1+SP2+SP4/SP6, SP1+SP3+SP4/SP7, and SP1+SP2+SP3+SP4/SP8) were done using Community Land Model (CLM5.0) to examine its performances for soil water and heat transfer modeling on the Tibetan Plateau (TP) both in single‐point and regional simulations. The observed data from five eddy covariance sites, four soil moisture and temperature networks and 60 sites of soil temperature observations on the TP were used to evaluate the results. Single‐point simulations show that SP2 experiment reduced the wet biases of soil moisture in semiarid area, but enhanced the error of soil temperature. SP6 shows the best performances in simulating soil moisture, and SP3 in soil temperature. Regional simulations show that the SP7 experiment had the best performances for soil water and heat transfer simulation on the TP, and improved the simulation of soil freezing‐thawing processes. Compared to CLM5.0 default simulation, SP7 shows the best performances. For soil moisture, it reduced average Bias by 23%, Root Mean Square Error (RMSE) by 18%, and increased the Correlation Coefficient (Corr) by2%. For soil temperature, it reduced the Bias by 9%, 10%, 23%, and 13% at four soil depths on the TP, respectively.
New Lactiplantibacillus plantarum and Lacticaseibacillus rhamnosus strains: well tolerated and improve infant microbiota
Authors: Önning Gunilla , Palm Ragnhild , Linninge Caroline , Larsson Niklas 
Published: August 2021

Abstract
Background
Different microorganisms from the environment will begin to colonise the infant during and immediately after the delivery. It could be advantageous to influence the microbiome early on by giving infants probiotic bacteria. The aim of the study was to investigate the tolerance of two probiotic lactobacilli in infants. The effect on the microbiota was also followed.

Methods
Thirty-six healthy infants, aged 4–83 days at the start of the study, were given a daily supplementation of probiotics (Lactiplantibacillus plantarum HEAL9 and Lacticaseibacillus rhamnosus 271, 109 CFU (colony-forming units)) or placebo for 8 weeks. Adverse events, growth parameters, the faecal microbiome and intestinal performance were followed.

Results
No differences between the groups in growth parameters, adverse events and intestinal performance were observed. The faecal levels of L. plantarum, L. rhamnosus and lactobacilli increased after the intake of probiotics and were significantly higher compared with the placebo group after 4 and 8 weeks of intake. The faecal microbial diversity was similar in the two groups at the end of the study.

Conclusions
The intervention with the probiotic formulation was well tolerated and increased the level of lactobacilli in the intestine. The developed probiotic formulation will be further evaluated for clinical efficacy in infants.

Impact

New data for the development of the gut function and the microbiome in breastfed and/or formula-fed young infants over time and the effect of adding two probiotic strains are presented.

Lactiplantibacillusplantarum is a species that seldom has been analysed in infants, but it could be detected in 25% of the subjects before administration (mean age 41 days).

Lactiplantibacillusplantarum and L. rhamnosus establish well in the intestine of infants and are well tolerated.

The microbiota was positively affected by the intake of probiotics.
Preterm birth and subsequent timing of pubertal growth, menarche, and voice break
Authors: Suikkanen Julia , Nurhonen Markku , Cole Tim J. , Paalanne Marika , Matinolli Hanna-Maria , Tikanmäki Marjaana , Vääräsmäki Marja , Järvelin Marjo-Riitta , Hovi Petteri , Kajantie Eero 
Published: August 2021

Abstract
Background
We evaluated pubertal growth and pubertal timing of participants born preterm compared to those born at term.

Methods
In the ESTER Preterm Birth Study, we collected growth data and measured final height of men/women born very or moderately preterm (<34 gestational weeks, n = 52/55), late preterm (34–<37 weeks, 94/106), and term (≥37 weeks, 131/151), resulting in median 9 measurements at ≥6 years. Timing of menarche or voice break was self-reported. Peak height velocity (PHV, cm/year) and age at PHV (years) were compared with SuperImposition by Translation And Rotation (SITAR) model (sexes separately).

Results
Age at PHV (years) and PHV (cm/year) were similar in all gestational age groups. Compared to term controls, insignificant differences in age at PHV were 0.1 (95% CI: −0.2 to 0.4) years/0.2 (−0.1 to 0.4) for very or moderately/late preterm born men and −0.0 (−0.3 to 0.3)/−0.0 (−0.3 to 0.2) for women, respectively. Being born small for gestational age was not associated with pubertal growth. Age at menarche or voice break was similar in all the gestational age groups.

Conclusions
Timing of pubertal growth and age at menarche or voice break were similar in participants born preterm and at term.

Impact

Pubertal growth and pubertal timing were similar in preterm and term participants in a relatively large cohort with a wide range of gestational ages.

Previous literature indicates that small for gestational age is a risk for early puberty in term born children. This was not shown in preterm children.

While our study had limited power for children born very preterm, all children born preterm were not at increased risk for early puberty.
Neural substrates of propranolol-induced impairments in the reconsolidation of nicotine-associated memories in smokers
Authors: Lin Xiao , Deng Jiahui , Yuan Kai , Wang Qiandong , Liu Lin , Bao Yanping , Xue Yanxue , Li Peng , Que Jianyu , Liu Jiajia , Yan Wei , Sun Hongqiang , Wu Ping , Shi Jie , Shi Le , Lu Lin 
Published: August 2021

AbstractThe majority of smokers relapse even after successfully quitting because of the craving to smoking after unexpectedly re-exposed to smoking-related cues. This conditioned craving is mediated by reward memories that are frequently experienced and stubbornly resistant to treatment. Reconsolidation theory posits that well-consolidated memories are destabilized after retrieval, and this process renders memories labile and vulnerable to amnestic intervention. This study tests the retrieval reconsolidation procedure to decrease nicotine craving among people who smoke. In this study, 52 male smokers received a single dose of propranolol (n = 27) or placebo (n = 25) before the reactivation of nicotine-associated memories to impair the reconsolidation process. Craving for smoking and neural activity in response to smoking-related cues served as primary outcomes. Functional magnetic resonance imaging was performed during the memory reconsolidation process. The disruption of reconsolidation by propranolol decreased craving for smoking. Reactivity of the postcentral gyrus in response to smoking-related cues also decreased in the propranolol group after the reconsolidation manipulation. Functional connectivity between the hippocampus and striatum was higher during memory reconsolidation in the propranolol group. Furthermore, the increase in coupling between the hippocampus and striatum positively correlated with the decrease in craving after the reconsolidation manipulation in the propranolol group. Propranolol administration before memory reactivation disrupted the reconsolidation of smoking-related memories in smokers by mediating brain regions that are involved in memory and reward processing. These findings demonstrate the noradrenergic regulation of memory reconsolidation in humans and suggest that adjunct propranolol administration can facilitate the treatment of nicotine dependence. The present study was pre-registered at ClinicalTrials.gov (registration no. ChiCTR1900024412).
TMED3 promotes the progression and development of lung squamous cell carcinoma by regulating EZR
Authors: Xie An , Xu Xinping , Kuang Peng , Zhang Ling , Yu Feng 
Published: August 2021

AbstractLung squamous cell carcinoma (LUSC) has a poor clinical prognosis and lacks effective targeted therapy. The transmembrane emp24 trafficking protein 3 (TMED3) belongs to the TMED family, which is responsible for the transport of intracellular proteins. This study was to explore the clinicopathological significance and biological effects of TMED3 in LUSC. Expression of TMED3 in LUSC was detected by immunohistochemical (IHC). The loss-of-function assays were used to investigate the effects of TMED3 on proliferation, apoptosis, cell cycle, and migration of LUSC cells. The influence of TMED3 knockdown on tumor growth in vivo was evaluated by mice xenograft models. In addition, the downstream target of TMED3 was recognized by RNA sequencing and Ingenuity Pathway Analysis (IPA). Moreover, TMED3 was upregulated in LUSC tissue, which was positively correlated with pathological grade. TMED3 knockdown was involved in the regulation of LUSC cell function, such as inhibition of proliferation, reduction of colony formation, induction of apoptosis, and reduction of migration. TMED3 knockdown induced abnormalities in apoptosis-related proteins in LUSC cells. In addition, the inhibition of cell migration by TMED3 knockdown was achieved by regulating EMT. Mechanically, EZR was considered as a potential target for TMED3 to regulate the progress of LUSC. Inhibition of EZR can inhibit the progression of LUSC, and even reduce the promoting effects of TMED3 overexpression on LUSC. In conclusion, TMED3 promoted the progression and development of LUSC by EZR, which may be a novel therapeutic target for LUSC.
SESN2 protects against denervated muscle atrophy through unfolded protein response and mitophagy
Authors: Yang Xiaofan , Xue Pingping , Yuan Meng , Xu Xiang , Wang Cheng , Li Wenqing , Machens Hans-Günther , Chen Zhenbing 
Published: August 2021

AbstractDenervation of skeletal muscles results in a rapid and programmed loss of muscle size and performance, termed muscle atrophy, which leads to a poor prognosis of clinical nerve repair. Previous researches considered this process a result of multiple factors, such as protein homeostasis disorder, mitochondrial dysfunction, endoplasmic reticulum stress (ERS), and apoptosis, while their intrinsic association remains to be explored. In this study, Sestrin2 (SESN2), a stress-inducible protein, was shown to act as a key protective signal involved in the crosstalk therein. SESN2 expression was induced in the gastrocnemius two weeks post denervation, which was accompanied by ERS, mitochondrial dysfunction, and apoptosis. Knockdown of SESN2 aggravated this situation and resulted in severer atrophy. Similar results were also found in rotenone-treated C2C12 cells. Furthermore, SESN2 was demonstrated to be induced by an ERS-activated transcription factor CCAAT-enhancer-binding protein beta (C/EBPβ). Once induced, SESN2 halted protein synthesis by inhibiting the mammalian target of rapamycin complex 1 (mTORC1), thereby attenuating ERS. Moreover, increased SESN2 activated the specific autophagic machinery and facilitated the aggregation of sequestosome 1 (SQSTM1, p62) on the mitochondrial surface, which promoted the clearance of damaged mitochondria through mitophagy. Collectively, the SESN2-mediated unfolded protein response (UPR) and mitophagy play a critical role in protecting against denervated muscle atrophy, which may provide novel insights into the mechanism of skeletal muscle atrophy following denervation.
Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis
Authors: Schulze Bastian , van Herwerden Denice , Allan Ian , Bijlsma Lubertus , Etxebarria Nestor , Hansen Martin , Merel Sylvain , Vrana Branislav , Aalizadeh Reza , Bajema Bernard , Dubocq Florian , Coppola Gianluca , Fildier Aurélie , Fialová Pavla , Frøkjær Emil , Grabic Roman , Gago-Ferrero Pablo , Gravert Thorsten , Hollender Juliane , Huynh Nina , Jacobs Griet , Jonkers Tim , Kaserzon Sarit , Lamoree Marja , Le Roux Julien , Mairinger Teresa , Margoum Christelle , Mascolo Giuseppe , Mebold Emmanuelle , Menger Frank , Miège Cécile , Meijer Jeroen , Moilleron Régis , Murgolo Sapia , Peruzzo Massimo , Pijnappels Martijn , Reid Malcolm , Roscioli Claudio , Soulier Coralie , Valsecchi Sara , Thomaidis Nikolaos , Vulliet Emmanuelle , Young Robert , Samanipour Saer 
Published: August 2021

AbstractNon-target analysis (NTA) employing high-resolution mass spectrometry is a commonly applied approach for the detection of novel chemicals of emerging concern in complex environmental samples. NTA typically results in large and information-rich datasets that require computer aided (ideally automated) strategies for their processing and interpretation. Such strategies do however raise the challenge of reproducibility between and within different processing workflows. An effective strategy to mitigate such problems is the implementation of inter-laboratory studies (ILS) with the aim to evaluate different workflows and agree on harmonized/standardized quality control procedures. Here we present the data generated during such an ILS. This study was organized through the Norman Network and included 21 participants from 11 countries. A set of samples based on the passive sampling of drinking water pre and post treatment was shipped to all the participating laboratories for analysis, using one pre-defined method and one locally (i.e. in-house) developed method. The data generated represents a valuable resource (i.e. benchmark) for future developments of algorithms and workflows for NTA experiments.
MNI-FTD templates, unbiased average templates of frontotemporal dementia variants
Authors: Dadar Mahsa , Manera Ana L. , Fonov Vladimir S. , Ducharme Simon , Collins D. Louis 
Published: August 2021

AbstractStandard templates are widely used in human neuroimaging processing pipelines to facilitate group-level analyses and comparisons across subjects/populations. MNI-ICBM152 template is the most commonly used standard template, representing an average of 152 healthy young adult brains. However, in patients with neurodegenerative diseases such as frontotemporal dementia (FTD), high atrophy levels lead to significant differences between individuals’ brain shapes and MNI-ICBM152 template. Such differences might inevitably lead to registration errors or subtle biases in downstream analyses and results. Disease-specific templates are therefore desirable to reflect the anatomical characteristics of the populations of interest and reduce potential registration errors. Here, we present MNI-FTD136, MNI-bvFTD70, MNI-svFTD36, and MNI-pnfaFTD30, four unbiased average templates of 136 FTD patients, 70 behavioural variant (bv), 36 semantic variant (sv), and 30 progressive nonfluent aphasia (pnfa) variant FTD patients and a corresponding age-matched template of 133 controls (MNI-CN133), along with probabilistic tissue maps for each template. Public availability of these templates will facilitate analyses of FTD cohorts and enable comparisons between different studies in an appropriate common standardized space.
Multiple bouts of high-intensity interval exercise reverse age-related functional connectivity disruptions without affecting motor learning in older adults
Authors: Greeley Brian , Chau Briana , Jones Christina B. , Neva Jason L. , Kraeutner Sarah N. , Campbell Kristin L. , Boyd Lara A. 
Published: August 2021

AbstractExercise has emerged as an intervention that may mitigate age-related resting state functional connectivity and sensorimotor decline. Here, 42 healthy older adults rested or completed 3 sets of high-intensity interval exercise for a total of 23 min, then immediately practiced an implicit motor task with their non-dominant hand across five separate sessions. Participants completed resting state functional MRI before the first and after the fifth day of practice; they also returned 24-h and 35-days later to assess short- and long-term retention. Independent component analysis of resting state functional MRI revealed increased connectivity in the frontoparietal, the dorsal attentional, and cerebellar networks in the exercise group relative to the rest group. Seed-based analysis showed strengthened connectivity between the limbic system and right cerebellum, and between the right cerebellum and bilateral middle temporal gyri in the exercise group. There was no motor learning advantage for the exercise group. Our data suggest that exercise paired with an implicit motor learning task in older adults can augment resting state functional connectivity without enhancing behaviour beyond that stimulated by skilled motor practice.
Self-generation and sound intensity interactively modulate perceptual bias, but not perceptual sensitivity
Authors: Paraskevoudi Nadia , SanMiguel Iria 
Published: August 2021

AbstractThe ability to distinguish self-generated stimuli from those caused by external sources is critical for all behaving organisms. Although many studies point to a sensory attenuation of self-generated stimuli, recent evidence suggests that motor actions can result in either attenuated or enhanced perceptual processing depending on the environmental context (i.e., stimulus intensity). The present study employed 2-AFC sound detection and loudness discrimination tasks to test whether sound source (self- or externally-generated) and stimulus intensity (supra- or near-threshold) interactively modulate detection ability and loudness perception. Self-generation did not affect detection and discrimination sensitivity (i.e., detection thresholds and Just Noticeable Difference, respectively). However, in the discrimination task, we observed a significant interaction between self-generation and intensity on perceptual bias (i.e. Point of Subjective Equality). Supra-threshold self-generated sounds were perceived softer than externally-generated ones, while at near-threshold intensities self-generated sounds were perceived louder than externally-generated ones. Our findings provide empirical support to recent theories on how predictions and signal intensity modulate perceptual processing, pointing to interactive effects of intensity and self-generation that seem to be driven by a biased estimate of perceived loudness, rather by changes in detection and discrimination sensitivity.
Nano/microparticles in conjunction with microalgae extract as novel insecticides against Mealworm beetles, Tenebrio molitor
Authors: Rankic Ivan , Zelinka Radim , Ridoskova Andrea , Gagic Milica , Pelcova Pavlina , Huska Dalibor 
Published: August 2021

AbstractThe intensive use of insecticides in global agricultural production has attracted much attention due to its many adverse effects on human health and the environment. In recent years, the utilization of nanotechnology has emerged as a tool to overcome these adverse effects. The aim of this work was to test different microparticles (zinc oxide (ZnO MPs) and silicon dioxide microparticles (SiO2MPs)), and silver nanoparticles (Ag NPs) and to study their toxicity on a model organism,Tenebrio molitor. A comprehensive comparative study, which included more than a thousand mealworms divided into nine separate groups, was conducted. In addition to pure nano/microparticle solutions, the effect of particles mixed with the microalgae extractChlamydomonas reinhardtiiwas also observed. Pure Ag NPs and SiO2MPs resulted in larval mortality of more than 70% compared to that of pure ZnO MPs, in which the mortality rate was approximately 33%. A mixture of the algal extract with zinc oxide microparticles resulted in mortality that was double compared to that observed with pure ZnO MPs. In parallel, atomic absorption spectrometry (AAS) was used to determine the difference in the concentration of trace elements in the bodies of dead and live larvae.
Comparing recurrent convolutional neural networks for large scale bird species classification
Authors: Gupta Gaurav , Kshirsagar Meghana , Zhong Ming , Gholami Shahrzad , Ferres Juan Lavista 
Published: August 2021

AbstractWe present a deep learning approach towards the large-scale prediction and analysis of bird acoustics from 100 different bird species. We use spectrograms constructed on bird audio recordings from the Cornell Bird Challenge (CBC)2020 dataset, which includes recordings of multiple and potentially overlapping bird vocalizations with background noise. Our experiments show that a hybrid modeling approach that involves a Convolutional Neural Network (CNN) for learning the representation for a slice of the spectrogram, and a Recurrent Neural Network (RNN) for the temporal component to combine across time-points leads to the most accurate model on this dataset. We show results on a spectrum of models ranging from stand-alone CNNs to hybrid models of various types obtained by combining CNNs with other CNNs or RNNs of the following types: Long Short-Term Memory (LSTM) networks, Gated Recurrent Units (GRU), and Legendre Memory Units (LMU). The best performing model achieves an average accuracy of 67% over the 100 different bird species, with the highest accuracy of 90% for the bird species, Red crossbill. We further analyze the learned representations visually and find them to be intuitive, where we find that related bird species are clustered close together. We present a novel way to empirically interpret the representations learned by the LMU-based hybrid model which shows how memory channel patterns change over time with the changes seen in the spectrograms.
Pretreatment prognostic nutritional index as a prognostic marker in head and neck cancer: a systematic review and meta-analysis
Authors: Luan Chih-Wei , Tsai Yao-Te , Yang Hsin-Yi , Chen Kuan-Yin , Chen Po-Hsien , Chou Hsin-Hsu 
Published: August 2021

AbstractThe predictive value of the pretreatment prognostic nutritional index (PNI) for head and neck cancer (HNC) remains controversial. We conducted a meta-analysis to assess the predictive value of PNI in HNC patients. A systematic search through internet databases including PubMed, Embase, and Cochrane Library for qualified studies estimating the association of PNI with HNC patient survival was performed. Overall survival (OS), progression-free survival (PFS), disease-specific survival (DSS), disease-free survival (DFS) and distant metastasis-free survival (DMFS) data were collected and evaluated. A random-effects model was used to calculate the pooled hazard ratios (pHRs) and corresponding 95% confidence intervals (CIs). A total of 7815 HNC patients from 14 eligible studies were involved. Pooled analysis showed that low pretreatment PNI was correlated with poor OS (pHR: 1.93, 95% CI 1.62–2.30, p < 0.001), PFS (pHR: 1.51, 95% CI 1.19–1.92, p = 0.008), DSS (pHR: 1.98, 95% CI 1.12–3.50, p < 0.001), DFS (pHR: 2.20, 95% CI 1.66–2.91, p < 0.001) and DMFS (pHR: 2.04, 95% CI 1.74–2.38, p < 0.001). Furthermore, low pretreatment PNI was correlated with poor OS despite variations in the cancer site, sample size, PNI cut-off value, analysis method (multivariate analysis or univariate analysis) and treatment modality in subgroup analysis. Elevated pretreatment PNI is correlated with a superior prognosis in HNC patients and could be used as
a biomarker in clinical practice for prognosis prediction and treatment stratification.