bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparisons between Mean and Turbulent Parameters of Aircraft-Based and Ship-Based Measurements in the Marine Atmospheric Boundary Layer
Authors: Kim Min-Seong , Kwon Byung Hyuk , Goo Tae-Young
Published: August 2021

The Structure des Echanges Mer-Atmosphère, Propriétés Océaniques/ Recherche Expérimentale (SEMAPHORE) experiment was conducted over the oceanic Azores current located in the Azores Basin. The evolution of the marine atmospheric boundary layer (MABL) was studied based on the evaluation of mean and turbulent data using in situ measurements by a ship and two aircrafts. The sea surface temperature (SST) field was characterized by a gradient of approximately 1 °C/100 km. The SST measured by aircraft decreased at a ratio of 0.25 °C/100 m of altitude due to the divergence of the infrared radiation flux from the surface. With the exception of temperature, the mean parameters measured by the two aircrafts were in good agreement with each other. The sensible heat flux was more dispersed than the latent heat flux according to the comparisons between aircraft and aircraft, and aircraft and ship. This study demonstrates the feasibility of using two aircraft to describe the MABL and surface flux with confidence.
Assessment and Prognosis in CSA-AKI Using Novel Kidney Injury Biomarkers: A Prospective Observational Study
Authors: Udzik Jakub , Waszczyk Aleksandra , Safranow Krzysztof , Biskupski Andrzej , Majer Krzysztof , Kwiatkowski Sebastian , Kwiatkowska Ewa
Published: August 2021

Background: There is a need for early diagnostic solutions for cardiac surgery associated acute kidney injury (CSA-AKI) as serum creatinine changes do not occur dynamically enough. Moreover, new approaches are needed for kidney protective strategy in patients undergoing cardiac surgery procedures; Methods: Samples of serum and urine were taken from the selected group of patients undergoing elective cardiac surgery procedures. The aim of this study was to assess the utility of specific inflammation and kidney injury biomarkers in the early diagnostic of CSA-AKI and in the prognosis of long-term postoperative kidney function; Results: At 6 h after weaning from cardiopulmonary bypass, there were significant differences in IL-6, IL-8, TNF-α, MMP-9 and NGAL concentrations in patients with CSA-AKI, compared to the control group. Serum IL-8 and urine NGAL 6 h after weaning from CPB proved to be independent acute kidney injury predictors. The TNF-α, MMP-9, IL-18, TIMP-1 and MMP-9/TIMP-1 ratio in the early postoperative period correlated with long-term kidney function impairment; Conclusions: Novel kidney injury biomarkers are an eligible tool for early diagnosis of CSA-AKI. They are also reliable indicators of long-term postoperative kidney function impairment risk after cardiac surgery procedures.
Surface Bioactivation of Polyether Ether Ketone (PEEK) by Sulfuric Acid and Piranha Solution: Influence of the Modification Route in Capacity for Inducing Cell Growth
Authors: dos Santos Flavia Suzany Ferreira , Vieira Mariana , da Silva Henrique Nunes , Tomás Helena , Fook Marcus Vinícius Lia
Published: August 2021

The aim of this study was to promote bioactivity of the PEEK surface using sulfuric acid and piranha solution. PEEK was functionalized by a sulfuric acid treatment for 90 s and by piranha solution for 60 and 90 s. Chemical modification of the PEEK surface was evaluated by infrared spectroscopy, contact angle analysis, cytotoxicity, cell adhesion and proliferation. The spectroscopy characteristic band associated with sulfonation was observed in all treated samples. PEEK with piranha solution 60 s showed an increase in the intensity of the bands, which was even more significant for the longer treatment (90 s). The introduction of the sulfonic acid functional group reduced the contact angle. In cytotoxicity assays, for all treatments, the number of viable cells was higher when compared to those of untreated PEEK. PEEK treated with sulfuric acid and piranha solution for 60 s were the treatments that showed the highest percentage of cell viability with no statistically significant differences between them. The modified surfaces had a greater capacity for inducing cell growth, indicative of effective cell adhesion and proliferation. The proposed chemical modifications are promising for the functionalization of PEEK-based implants, as they were effective in promoting bioactivation of the PEEK surface and in stimulating cell growth and proliferation.
Looking at Alzheimer’s Disease Pathogenesis from the Nuclear Side
Authors: D’Andrea Laura , Stringhi Ramona , Di Luca Monica , Marcello Elena
Published: August 2021

Alzheimer’s disease (AD) is a neurodegenerative disorder representing the most common form of dementia. It is biologically characterized by the deposition of extracellular amyloid-β (Aβ) senile plaques and intracellular neurofibrillary tangles, constituted by hyperphosphorylated tau protein. The key protein in AD pathogenesis is the amyloid precursor protein (APP), which is cleaved by secretases to produce several metabolites, including Aβ and APP intracellular domain (AICD). The greatest genetic risk factor associated with AD is represented by the Apolipoprotein E ε4 (APOE ε4) allele. Importantly, all of the above-mentioned molecules that are strictly related to AD pathogenesis have also been described as playing roles in the cell nucleus. Accordingly, evidence suggests that nuclear functions are compromised in AD. Furthermore, modulation of transcription maintains cellular homeostasis, and alterations in transcriptomic profiles have been found in neurodegenerative diseases. This report reviews recent advancements in the AD players-mediated gene expression. Aβ, tau, AICD, and APOE ε4 localize in the nucleus and regulate the transcription of several genes, part of which is involved in AD pathogenesis, thus suggesting that targeting nuclear functions might provide new therapeutic tools for the disease.
Synthesis and In Vitro Evaluation of Novel Dopamine Receptor D2 3,4-dihydroquinolin-2(1H)-one Derivatives Related to Aripiprazole
Authors: Juza Radomir , Stefkova Kristyna , Dehaen Wim , Randakova Alena , Petrasek Tomas , Vojtechova Iveta , Kobrlova Tereza , Pulkrabkova Lenka , Muckova Lubica , Mecava Marko , Prchal Lukas , Mezeiova Eva , Musilek Kamil , Soukup Ondrej , Korabecny Jan
Published: August 2021

In this pilot study, a series of new 3,4-dihydroquinolin-2(1H)-one derivatives as potential dopamine receptor D2 (D2R) modulators were synthesized and evaluated in vitro. The preliminary structure–activity relationship disclosed that compound 5e exhibited the highest D2R affinity among the newly synthesized compounds. In addition, 5e showed a very low cytotoxic profile and a high probability to cross the blood–brain barrier, which is important considering the observed affinity. However, molecular modelling simulation revealed completely different binding mode of 5e compared to USC-D301, which might be the culprit of the reduced affinity of 5e toward D2R in comparison with USC-D301.
Age-Related Changes in Hemispherical Specialization for Attentional Networks
Authors: Casagrande Maria , Agostini Francesca , Favieri Francesca , Forte Giuseppe , Giovannoli Jasmine , Guarino Angela , Marotta Andrea , Doricchi Fabrizio , Martella Diana
Published: August 2021

Many cognitive functions face a decline in the healthy elderly. Within the cognitive domains, both attentional processes and executive functions are impaired with aging. Attention includes three attentional networks, i.e., alerting, orienting, and executive control, showing a hemispheric lateralized pattern in adults. This lateralized pattern could play a role in modulating the efficiency of attentional networks. For these reasons, it could be relevant to analyze the age-related change of the hemispheric specialization of attentional networks. This study aims to clarify this aspect with a lateralized version of the Attentional Network Test for Interaction (ANTI)-Fruit. One hundred seventy-one participants took part in this study. They were divided in three age groups: youth (N = 57; range: 20–30); adults (N = 57; range 31–64), and elderly/older people (N = 57; range: 65–87). The results confirmed the previous outcomes on the efficiency and interactions among attentional networks. Moreover, an age-related generalized slowness was evidenced. These findings also support the hypothesis of a hemispheric asymmetry reduction in elderly/older adults.
CSF Secretion Is Not Altered by NKCC1 Nor TRPV4 Antagonism in Healthy Rats
Authors: Bothwell Steven W. , Omileke Daniel , Patabendige Adjanie , Spratt Neil J.
Published: August 2021

Background: Cerebrospinal fluid (CSF) secretion can be targeted to reduce elevated intracranial pressure (ICP). Sodium-potassium-chloride cotransporter 1 (NKCC1) antagonism is used clinically. However, supporting evidence is limited. The transient receptor potential vanilloid-4 (TRPV4) channel may also regulate CSF secretion and ICP elevation. We investigated whether antagonism of these proteins reduces CSF secretion. Methods: We quantified CSF secretion rates in male Wistar rats. The cerebral aqueduct was blocked with viscous mineral oil, and a lateral ventricle was cannulated. Secretion rate was measured at baseline and after antagonist administration. Acetazolamide was administered as a positive control to confirm changes in CSF secretion rates. Results: Neither NKCC1, nor TRPV4 antagonism altered CSF secretion rate from baseline, n = 3, t(2) = 1.14, p = 0.37, and n = 4, t(3) = 0.58, p = 0.6, respectively. Acetazolamide reduced CSF secretion by ~50% across all groups, n = 7, t(6) = 4.294, p = 0.005. Conclusions: Acute antagonism of NKCC1 and TRPV4 proteins at the choroid plexus does not reduce CSF secretion in healthy rats. Further investigation of protein changes and antagonism should be explored in neurological disease where increased CSF secretion and ICP are observed before discounting the therapeutic potential of protein antagonism at these sites.
A Review on the Current Treatment Paradigm in High-Risk Prostate Cancer
Authors: Burgess Laura , Roy Soumyajit , Morgan Scott , Malone Shawn
Published: August 2021

High-risk prostate cancer is traditionally treated with a combination of radiotherapy (RT) and androgen deprivation therapy (ADT). However, recent advancements in systemic treatment and radiotherapy have widened the spectrum of treatment for this patient population. Use of image guidance and intensity modulation, as well as the incorporation of brachytherapy, has led to safe radiotherapy dose escalation with reduced risk of recurrence. Clinical trials have helped define the role of pelvic nodal radiotherapy, the role of stereotactic ablative radiotherapy, and the optimal duration and sequencing of ADT in combination with radiotherapy. Emerging evidence has redefined the role of surgery in this cohort. Contemporary clinical trials have identified new systemic therapy options in high-risk prostate cancer. Finally, new imaging modalities including multi-parametric MRI and molecular imaging and genomic classifiers have ushered a new era in patient selection, risk stratification, and treatment tailoring.
Microbial Transformation of Galangin Derivatives and Cytotoxicity Evaluation of Their Metabolites
Authors: Han Fubo , Xiao Yina , Lee Ik-Soo
Published: August 2021

Galangin (1), 3-O-methylgalangin (2), and galangin flavanone (3), the major bioactive flavonoids isolated from Alpinia officinarum, were biotransformed into one novel and four known metabolites (4–8) by application of the fungal strains Mucor hiemalis and Absidia coerulea as biocatalysts. Their structures were characterized by extensive spectroscopic analyses including one- and two-dimensional nuclear magnetic resonance spectroscopy and mass spectrometry. Compounds 1–7 were evaluated for their cytotoxic activities against cancer cell lines using the MTT assay. The new compound 3-O-methylgalangin-7-O-β-D-glucopyranoside (6) exhibited the most potent cytotoxic activity against MCF-7, A375P, B16F10, B16F1, and A549 cancer cell lines with the IC50 values at 3.55–6.23 μM.
Solochrome Dark Blue Azo Dye Removal by Sonophotocatalysis Using Mn2+ Doped ZnS Quantum Dots
Authors: Patel Jyoti , Singh Ajaya K. , Jain Bhawana , Yadav Sushma , Carabineiro Sónia A. C. , Susan Md. Abu Bin Hasan
Published: August 2021

This work investigates the degradation of the azo dye solochrome dark blue (SDB) by measurement of the photocatalytic, sonocatalytic and sonophotocatalytic activities, under low ultrasonic frequency (40 kHz) and UV-C (254 nm) light, using Mn-doped ZnS semiconductor quantum dots (Mn2+:ZnS Qds) as catalysts, prepared by a simple chemical precipitation procedure. In order to study the different morphological and optical crystal properties, various characterization techniques were used, such as high resolution transmission electron microscopy, scanning electron microscopy, energy dispersive X-ray analysis, X-ray diffraction, N2 adsorption-desorption at −196 °C and ultraviolet-visible spectroscopy. The average particle size of the semiconductor Qds was in the range of 3–4 nm. The optimal parameters affecting dye degradation, such as the catalyst loading, solution pH, time of irradiation, initial concentration of dye, dopant concentration, ultrasonic power and frequency effect were evaluated. The synthesized catalytic material exhibited a high activity for sonophotocatalytic degradation of SDB (89%), larger than that observed for sonocatalysis (69.7%) or photocatalysis (55.2%) alone, which was due to the improved electron-holes separation, formation of more reactive radicals and enhancement of the active surface area. Qds showed good stability and reusability after five repeated cycles. Finally, the degradation products were identified by liquid chromatography-mass spectrometry (LC-MS).
CO2 Hydrogenation on NixMg1−xAl2O4: A Comparative Study of MgAl2O4 and NiAl2O4
Authors: Seo Boseok , Ko Eun Hee , Boo Jinho , Kim Minkyu , Kang Dohyung , Park No-Kuk
Published: August 2021

Due to the increasing attention focused on global warming, many studies on reducing CO2 emissions and developing sustainable energy strategies have recently been performed. One of the approaches is CO2 methanation, transforming CO2 into methane. Such transformation (CO2 + 4H2 → CH4 + 2H2O) provides advantages of carbon liquification, storage, etc. In this study, we investigated CO2 methanation on nickel–magnesium–alumina catalysts both experimentally and computationally. We synthesized the catalysts using a precipitation method, and performed X-ray diffraction, temperature-programmed reduction, and N2 adsorption–desorption tests to characterize their physical and chemical properties. NiAl2O4 and MgAl2O4 phases were clearly observed in the catalysts. In addition, we conducted CO2 hydrogenation experiments by varying with temperatures to understand the reaction. Our results showed that CO2 conversion increases with Ni concentration and that MgAl2O4 exhibits high selectivity for CO. Density functional theory calculations explained the origin of this selectivity. Simulations predicted that adsorbed CO on MgAl2O4(100) weakly binds to the surface and prefers to desorb from the surface than undergoing further hydrogenation. Electronic structure analysis showed that the absence of a d orbital in MgAl2O4(100) is responsible for the weak binding of CO to MgAl2O4. We believe that this finding regarding the origin of the CO selectivity of MgAl2O4 provides fundamental insight for the design methanation catalysts.
Highly Active TiO2 Photocatalysts for Hydrogen Production through a Combination of Commercial TiO2 Material Selection and Platinum Co-Catalyst Deposition Using a Colloidal Approach with Green Reductants
Authors: Schwarze Michael , Klingbeil Charly , Do Ha Uyen , Kutorglo Edith Mawunya , Parapat Riny Yolandha , Tasbihi Minoo
Published: August 2021

In this contribution, four different commercial TiO2 catalysts (P25, P90, PC105, and PC500) were screened for the photocatalytic production of hydrogen using ethanol as the sacrificial agent. The physico-chemical properties of the TiO2 powders were characterized by using different methods. The photocatalysts mainly vary in the ratio of anatase and rutile phases, and in the surface area. It was found that the photocatalytic activity is governed by the surface area of the photocatalyst. Pure TiO2,PC500 showed the best performance, and in comparison to P25, the activity was more than twenty times higher due to its high surface area of about 270 m2 g−1. For further improvement of the photocatalytic activity, platinum nanoparticles (PtNPs) were immobilized onto TiO2,PC500 using two methods: a colloidal approach and a photodeposition method. For the reduction of the platinum salt precursor in the colloidal approach, different green reducing agents were used in comparison to ascorbic acid. The obtained platinum nanoparticles using natural reductants showed a higher photocatalytic activity due to the formation of smaller nanoparticles, as proven by transmission electron microscopy (TEM). The highest activity was obtained when mangosteen was used as the green reducing agent. Compared to ascorbic acid as a classical reducing agent, the photocatalytic activity of the Pt@TiO2,PC500 prepared with mangosteen was about 2–3 times higher in comparison to other as-prepared photocatalysts. The Pt@TiO2,PC500 catalyst was further studied under different operating conditions, such as catalyst and sacrificial agent concentration.
Early-Released Interleukin-10 Significantly Inhibits Lipopolysaccharide-Elicited Neuroinflammation In Vitro
Authors: Wang Yubao , Yu Pei , Li Yi , Zhao Zhan , Wu Xiaomei , Zhang Lu , Feng Jing , Hong Jau-Shyong
Published: August 2021

Anti-inflammatory cytokine interleukin (IL)-10 is pivotal for limiting excessive inflammation in the central nervous system. Reports show that lipopolysaccharide (LPS)-induced microglial IL-10 emerges in a delayed manner in vitro and in vivo, lagging behind proinflammatory cytokines to facilitate the resolution of neuroinflammation. We hypothesized that IL-10 releases quite quickly based on our pilot investigation. Here, we uncovered a bimodal expression of microglial IL-10 gene transcription induced by LPS in mouse primary mixed glial cultures. This pattern consisted of a short brief early-phase and a long-lived late-phase, enabling the production of IL-10 protein in a rapid manner. The removal and addition of IL-10 protein assays indicated that early-released IL-10 exerted potent modulatory effects on neuroinflammation at picomolar levels, and IL-10 released at the onset of neuroinflammation is tightly controlled. We further showed that the early-released, but not the late-released, IL-10 was crucial for mediating and potentiating the anti-inflammatory function of a β2-adrenergic receptor agonist salmeterol. This study in vitro highlights the essential role of early-released IL-10 in regulating the appropriate degree of neuroinflammation, overturning the previous notion that microglial IL-10 produces and functions in a delayed manner and providing new insights into anti-inflammatory mechanisms-mediated neuroimmune homeostasis.
Retinoic Acid Receptors and the Control of Positional Information in the Regenerating Axolotl Limb
Authors: Polvadore Trey , Maden Malcolm
Published: August 2021

We know little about the control of positional information (PI) during axolotl limb regeneration, which ensures that the limb regenerates exactly what was amputated, and the work reported here investigates this phenomenon. Retinoic acid administration changes the PI in a proximal direction so that a complete limb can be regenerated from a hand. Rather than identifying all the genes altered by RA treatment of the limb, we have eliminated many off-target effects by using retinoic acid receptor selective agonists. We firstly identify the receptor involved in this respecification process as RARα and secondly, identify the genes involved by RNA sequencing of the RARα-treated blastemal mesenchyme. We find 1177 upregulated genes and 1403 downregulated genes, which could be identified using the axolotl genome. These include several genes known to be involved in retinoic acid metabolism and in patterning. Since positional information is thought to be a property of the cell surface of blastemal cells when we examine our dataset with an emphasis on this aspect, we find the top canonical pathway is integrin signaling. In the extracellular matrix compartment, we find a MMP and several collagens are upregulated; several cell membrane genes and secretory factors are also upregulated. This provides data for future testing of the function of these candidates in the control of PI during limb regeneration.
HSPB1 Is Essential for Inducing Resistance to Proteotoxic Stress in Beta-Cells
Authors: Gomes Vinícius M. , Wailemann Rosangela A. M. , Arini Gabriel S. , Oliveira Talita C. , Almeida Daria R. Q. , dos Santos Ancély F. , Terra Letícia F. , Lortz Stephan , Labriola Leticia
Published: August 2021

During type 1 diabetes mellitus (T1DM) development, beta-cells undergo intense endoplasmic reticulum (ER) stress that could result in apoptosis through the failure of adaptation to the unfolded protein response (UPR). Islet transplantation is considered an attractive alternative among beta-cell replacement therapies for T1DM. To avoid the loss of beta-cells that will jeopardize the transplant’s outcome, several strategies are being studied. We have previously shown that prolactin induces protection against proinflammatory cytokines and redox imbalance-induced beta-cell death by increasing heat-shock protein B1 (HSPB1) levels. Since the role of HSPB1 in beta cells has not been deeply studied, we investigated the mechanisms involved in unbalanced protein homeostasis caused by intense ER stress and overload of the proteasomal protein degradation pathway. We tested whether HSPB1-mediated cytoprotective effects involved UPR modulation and improvement of protein degradation via the ubiquitin-proteasome system. We demonstrated that increased levels of HSPB1 attenuated levels of pro-apoptotic proteins such as CHOP and BIM, as well as increased protein ubiquitination and the speed of proteasomal protein degradation. Our data showed that HSPB1 induced resistance to proteotoxic stress and, thus, enhanced cell survival via an increase in beta-cell proteolytic capacity. These results could contribute to generate strategies aimed at the optimization of beta-cell replacement therapies.
Proteomic Analysis of Circulating Extracellular Vesicles Identifies Potential Biomarkers for Lymph Node Metastasis in Oral Tongue Squamous Cell Carcinoma
Authors: Qu Xinyu , Leung Thomas C. N. , Ngai Sai-Ming , Tsai Sau-Na , Thakur Abhimanyu , Li Wing-Kar , Lee Youngjin , Leung Leanne , Ng Tung-Him , Yam Judy , Lan Linlin , Lau Eric H. L. , Wong Eddy W. Y. , Chan Jason Y. K. , Meehan Katie
Published: August 2021

Lymph node metastasis is the most reliable indicator of a poor prognosis for patients with oral tongue cancers. Currently, there are no biomarkers to predict whether a cancer will spread in the future if it has not already spread at the time of diagnosis. The aim of this study was to quantitatively profile the proteomes of extracellular vesicles (EVs) isolated from blood samples taken from patients with oral tongue squamous cell carcinoma with and without lymph node involvement and non-cancer controls. EVs were enriched using size exclusion chromatography (SEC) from pooled plasma samples of patients with non-nodal and nodal oral tongue squamous cell carcinoma (OTSCC) and non-cancer controls. Protein cargo was quantitatively profiled using isobaric labelling (iTRAQ) and two-dimensional high-performance liquid chromatography followed by tandem mass spectrometry. We identified 208 EV associated proteins and, after filtering, generated a short list of 136 proteins. Over 85% of the EV-associated proteins were associated with the GO cellular compartment term “extracellular exosome”. Comparisons between non-cancer controls and oral tongue squamous cell carcinoma with and without lymph node involvement revealed 43 unique candidate EV-associated proteins with deregulated expression patterns. The shortlisted EV associated proteins described here may be useful discriminatory biomarkers for differentiating OTSCC with and without nodal disease or non-cancer controls.
Dorsal Root Injury—A Model for Exploring Pathophysiology and Therapeutic Strategies in Spinal Cord Injury
Authors: Aldskogius Håkan , Kozlova Elena N.
Published: August 2021

Unraveling the cellular and molecular mechanisms of spinal cord injury is fundamental for our possibility to develop successful therapeutic approaches. These approaches need to address the issues of the emergence of a non-permissive environment for axonal growth in the spinal cord, in combination with a failure of injured neurons to mount an effective regeneration program. Experimental in vivo models are of critical importance for exploring the potential clinical relevance of mechanistic findings and therapeutic innovations. However, the highly complex organization of the spinal cord, comprising multiple types of neurons, which form local neural networks, as well as short and long-ranging ascending or descending pathways, complicates detailed dissection of mechanistic processes, as well as identification/verification of therapeutic targets. Inducing different types of dorsal root injury at specific proximo-distal locations provide opportunities to distinguish key components underlying spinal cord regeneration failure. Crushing or cutting the dorsal root allows detailed analysis of the regeneration program of the sensory neurons, as well as of the glial response at the dorsal root-spinal cord interface without direct trauma to the spinal cord. At the same time, a lesion at this interface creates a localized injury of the spinal cord itself, but with an initial neuronal injury affecting only the axons of dorsal root ganglion neurons, and still a glial cell response closely resembling the one seen after direct spinal cord injury. In this review, we provide examples of previous research on dorsal root injury models and how these models can help future exploration of mechanisms and potential therapies for spinal cord injury repair.
Floristic Groups, and Changes in Diversity and Structure of Trees, in Tropical Montane Forests in the Southern Andes of Ecuador
Authors: Jadán Oswaldo , Donoso David A. , Cedillo Hugo , Bermúdez Fernando , Cabrera Omar
Published: August 2021

Composition, diversity, and structure of trees in tropical montane forests are responsive to ecological gradients and local succession. Those parameters are a result of ecological interactions between vegetation, environment, and location. This study identified floristic groups on mainly secondary forests and evaluated how the composition, diversity, and structure of trees correlate with climate, soil, and age since abandonment. We included in our models a measurement of spatial correlation, to explore the role of dispersion. For this purpose, we measured diameter and height of all trees with DBH ≥ 10 cm, in twenty-eight 500 m2 plots, in an elevation range between 2900 and 3500 m. We found 14 indicator species in three floristic groups. Group composition was explained by age since abandonment, which showed strong succession effects. Mean monthly precipitation and Manganese, but not spatial correlation, explained plant composition in these montane forests, suggesting a minor role of dispersion. Species richness and structure of the arboreal vegetation were influenced by interactions between age, precipitation, and soil nutrients concentration. We concluded that in fragmented landscapes, within the rugged region of southern Ecuador, it is possible to find different floristic groups that encompass high variation in their composition.
CSF Diagnostics: A Potentially Valuable Tool in Neurodegenerative and Inflammatory Disorders Involving Motor Neurons: A Review
Authors: Krause Karsten , Wulf Maximilian , Sommer Paula , Barkovits Katalin , Vorgerd Matthias , Marcus Katrin , Eggers Britta
Published: August 2021

Cerebrospinal fluid (CSF) diagnostics has emerged as a valid tool for a variety of neurological diseases. However, CSF diagnostics has been playing a subordinate role in the diagnosis of many neurological conditions. Thus, in the multitude of neuromuscular diseases in which motor neurons are affected, a CSF sample is rarely taken routinely. However, CSF diagnostics has the potential to specify the diagnosis and monitor the treatment of neuromuscular disorders. In this review, we therefore focused on a variety of neuromuscular diseases, among them amyotrophic lateral sclerosis (ALS), peripheral neuropathies, and spinal muscular atrophy (SMA), for which CSF diagnostics has emerged as a promising option for determining the disease itself and its progression. We focus on potentially valuable biomarkers among different disorders, such as neurofilaments, cytokines, other proteins, and lipids to determine their suitability, differentiating between different neurological disorders and their potential to determine early disease onset, disease progression, and treatment outcome. We further recommend novel approaches, e.g., the use of mass spectrometry as a promising alternative techniques to standard ELISA assays, potentially enhancing biomarker significance in clinical applications.
Qualitative and Quantitative Diagnosis in Head and Neck Cancer
Authors: López Fernando , Mäkitie Antti , de Bree Remco , Franchi Alessandro , de Graaf Pim , Hernández-Prera Juan C. , Strojan Primoz , Zidar Nina , Strojan Fležar Margareta , Rodrigo Juan P. , Rinaldo Alessandra , Centeno Barbara A. , Ferlito Alfio
Published: August 2021

The diagnosis is the art of determining the nature of a disease, and an accurate diagnosis is the true cornerstone on which rational treatment should be built. Within the workflow in the management of head and neck tumours, there are different types of diagnosis. The purpose of this work is to point out the differences and the aims of the different types of diagnoses and to highlight their importance in the management of patients with head and neck tumours. Qualitative diagnosis is performed by a pathologist and is essential in determining the management and can provide guidance on prognosis. The evolution of immunohistochemistry and molecular biology techniques has made it possible to obtain more precise diagnoses and to identify prognostic markers and precision factors. Quantitative diagnosis is made by the radiologist and consists of identifying a mass lesion and the estimation of the tumour volume and extent using imaging techniques, such as CT, MRI, and PET. The distinction between the two types of diagnosis is clear, as the methodology is different. The accurate establishment of both diagnoses plays an essential role in treatment planning. Getting the right diagnosis is a key aspect of health care, and it provides an explanation of a patient’s health problem and informs subsequent decision. Deep learning and radiomics approaches hold promise for improving diagnosis.
Automatic Liver Viability Scoring with Deep Learning and Hyperspectral Imaging
Authors: Felli Eric , Al-Taher Mahdi , Collins Toby , Nkusi Richard , Felli Emanuele , Baiocchini Andrea , Lindner Veronique , Vincent Cindy , Barberio Manuel , Geny Bernard , Ettorre Giuseppe Maria , Hostettler Alexandre , Mutter Didier , Gioux Sylvain , Schuster Catherine , Marescaux Jacques , Gracia-Sancho Jordi , Diana Michele
Published: August 2021

Hyperspectral imaging (HSI) is a non-invasive imaging modality already applied to evaluate hepatic oxygenation and to discriminate different models of hepatic ischemia. Nevertheless, the ability of HSI to detect and predict the reperfusion damage intraoperatively was not yet assessed. Hypoxia caused by hepatic artery occlusion (HAO) in the liver brings about dreadful vascular complications known as ischemia-reperfusion injury (IRI). Here, we show the evaluation of liver viability in an HAO model with an artificial intelligence-based analysis of HSI. We have combined the potential of HSI to extract quantitative optical tissue properties with a deep learning-based model using convolutional neural networks. The artificial intelligence (AI) score of liver viability showed a significant correlation with capillary lactate from the liver surface (r = −0.78, p = 0.0320) and Suzuki’s score (r = −0.96, p = 0.0012). CD31 immunostaining confirmed the microvascular damage accordingly with the AI score. Our results ultimately show the potential of an HSI-AI-based analysis to predict liver viability, thereby prompting for intraoperative tool development to explore its application in a clinical setting.
Radiolabeling Strategies of Nanobodies for Imaging Applications
Authors: Küppers Jim , Kürpig Stefan , Bundschuh Ralph A. , Essler Markus , Lütje Susanne
Published: August 2021

Nanobodies are small recombinant antigen-binding fragments derived from camelid heavy-chain only antibodies. Due to their compact structure, pharmacokinetics of nanobodies are favorable compared to full-size antibodies, allowing rapid accumulation to their targets after intravenous administration, while unbound molecules are quickly cleared from the circulation. In consequence, high signal-to-background ratios can be achieved, rendering radiolabeled nanobodies high-potential candidates for imaging applications in oncology, immunology and specific diseases, for instance in the cardiovascular system. In this review, a comprehensive overview of central aspects of nanobody functionalization and radiolabeling strategies is provided.
New Research and Trends in Higher Education
Authors: Sousa Maria José , Suleman Fátima , Melé Pere Mercadé , Gómez Jesús Molina
Published: August 2021

New methodologies, contexts, and technologies are generating a lot of interest in the field of higher education, and this Special Issue intends to address the current research and trends in all dimensions of higher education [...]
Awareness of Sustainable Development Goals among Students from a Chinese Senior High School
Authors: Yuan Xinqun , Yu Le , Wu Hao
Published: August 2021

Education is an essential component of the Sustainable Development Goals (SDGs). Through a questionnaire survey among students from a Chinese senior high school, this study measured the self-reported knowledge, sources of information, learning situations, priorities, the impact of personal life and career planning with respect to the SDGs to understand their cognition, learning motivation and social readiness. The results show that students’ knowledge and information sources in relation to the SDGs are limited, and there is no significant difference between boys and girls in relation to their knowledge of the SDGs, the source of information, the learning level of the SDGs, impact of personal life on the SDGs and career planning related to the SDGs. It is also shown that students have a better understanding of the number of the SDGs and the countries to which the SDGs are addressed and students receive information about the SDGs via formal education and traditional media. Regarding the penetration of the SDGs in course subjects, Chinese and native culture, foreign language, biology and geography have included all the SDGs. Through an analysis of responses and popularity rates, gender equality, quality education, reduced inequalities, no poverty, zero hunger, good health and well-being are shown to be the students’ priorities with higher attention rates. Gender equality, quality education, clean water and sanitation are the top three goals in relation to which students consider that their personal life can have a greater impact. Students prefer to adopt the SDGs (decent work and economic growth, quality education, industry, innovation and infrastructure, sustainable cities and communities) as their personal career choice in the future. Suggestions for improving the implementation of Education for Sustainable Development (ESD) include comprehensive formal and non-formal education, publicity and curriculum integration to promote learning about the SDGs. A model of ESD in the school surveyed is presented for practical application. Based on this research, guidance and suggestions are provided to enhance students’ awareness, knowledge and competencies in relation to sustainability and to encourage student engagement in global sustainable development.
Recognitive Justice and Educational Inequalities: An Intersectional Approach Involving Secondary Grade School Students in Greece
Authors: Govaris Christos , Kassis Wassilis , Sakatzis Dimitris , Sarafidou Jasmin-Olga , Chouvati Raia
Published: August 2021

Adopting the theoretical approach of recognitive justice and the degree of students’ recognitive experiences regarding empathy, respect, and social esteem, the present study focused on educational inequalities in the multicultural school and the factors that affect their appearance and reproduction. We examined the existence of social relations’ differences in a sample of 1303 students from 69 secondary schools in Greece, using a questionnaire constructed to investigate students’ recognitive experience of their relationships with teachers. By applying an intersectional approach, mainly through multiple regression analysis and multivariate interaction tests with MANOVA, we were able to identify that migrant students and students from families with a low educational level experienced a significantly lower degree of recognition, mainly with the forms of respect and social esteem, both in their relationships with teachers and with peers. Additionally, levels of recognition among teachers explained the large amount of variability in academic achievement and self-esteem, while higher levels of recognition among peers were a significant predictor of the respective students’ higher self-esteem. These deficits in recognition concern pedagogical practices that deprive these groups of students of opportunities and possibilities for equal participation in teaching and school life.
Dimensions of Creativity in Secondary School High-Ability Students
Authors: Redó Núria Arís , Gutiérrez María Ángeles Millán , Cano José-Diego Vargas
Published: August 2021

The objective of this study was to analyze the dimensions of creativity in high-ability teenage students. Firstly, we reviewed the most relevant scientific contributions on creativity. Next, the dimensions of creativity in secondary school students who were previously identified as high-ability students were analyzed. The sample was obtained from 215 students, of which 31 were identified as high-ability students. The abilities associated with divergent thinking were assessed using the Torrance Test of Creative Thinking The fluency, flexibility, and originality dimensions were assessed with the Scientific-Creative Thinking Test. This study was conducted using a quantitative approach. Tests were administered during school hours from March to June 2019. They were corrected considering the protocols established by the original authors themselves. Data were analyzed using SPSS, version 24.0. The results provide evidence that high-ability students achieve higher scores in both the figurative-creativity and scientific-creativity dimensions. A significant relationship between creativity and high ability was therefore established. Students with high abilities and qualities require the educational support necessary to develop their talent. This study was of an exploratory nature and the results obtained contribute to developing future studies applying its findings in teenagers’ teaching–learning process.
Impact of Ethical Leadership on Employee Engagement: Role of Self-Efficacy and Organizational Commitment
Authors: Ashfaq Fouzia , Abid Ghulam , Ilyas Sehrish
Published: August 2021

The aim of this study was to examine the roles of self-efficacy and organizational commitment in the sequential mediation of the relationship between ethical leadership and employee engagement. Data were collected through self-reported questionnaires of employees from private and public sector organizations of Pakistan. We opted for a three-wave time-lagged design, and we used the PROCESS macro by Hayes on a sample of 211 employees (35% male, 65% female) via the 2000 re-sample bias-corrected bootstrap method. The results show a significant relationship between ethical leadership and employee engagement with mediating effects of self-efficacy and organizational commitment. Self-efficacy and organizational commitment fully mediated the relationship. The results provide insight into the understanding of employee behavior, particularly in the presence of moral leadership. Drawing on the conservation of resource theory, we examined how ethical leader support enables employees to invest their resources into positive outcomes. Theoretical and practical implications are discussed.
A United Control Strategy of Photovoltaic-Battery Energy Storage System Based on Voltage-Frequency Controlled VSG
Authors: Yan Xiangwu , Wang Chenguang , Wang Ziheng , Ma Hongbin , Liang Baixue , Wei Xiaoxue
Published: August 2021

At present, the installed capacity of photovoltaic-battery energy storage systems (PV-BESs) is rapidly increasing. In the traditional control method, the PV-BES needs to switch the control mode between off-grid and grid-connected states. Thus, the traditional control mode reduces the reliability of the system. In addition, if the system is accidentally disconnected from the grid or the energy storage battery fails to work normally, the DC voltage of the inverter increases or decreases rapidly. To address these two problems, in this paper, a united control strategy is proposed. In the case of grid connection, based on the voltage-frequency controlled VSG strategy, the strategy adjusts the output power of the VSG by changing the position of the primary frequency modulation curve. This method can ensure that, after the system is connected to the grid, excess PV power can be sent to the grid, or power can be absorbed from the grid to charge energy storage. In the off-grid state, the strategy uses FPPT technology and superimposes a voltage component onto the voltage loop to quickly balance the DC power and AC power of the inverter. This strategy can improve the reliability of the system’s power supply if the energy storage fails to work normally. Finally, a PV-BES model was built using MATLAB-Simulink, and the simulation results proved the effectiveness of the proposed strategy.
Multi-Party Privacy-Preserving Logistic Regression with Poor Quality Data Filtering for IoT Contributors
Authors: Edemacu Kennedy , Kim Jong Wook
Published: August 2021

Nowadays, the internet of things (IoT) is used to generate data in several application domains. A logistic regression, which is a standard machine learning algorithm with a wide application range, is built on such data. Nevertheless, building a powerful and effective logistic regression model requires large amounts of data. Thus, collaboration between multiple IoT participants has often been the go-to approach. However, privacy concerns and poor data quality are two challenges that threaten the success of such a setting. Several studies have proposed different methods to address the privacy concern but to the best of our knowledge, little attention has been paid towards addressing the poor data quality problems in the multi-party logistic regression model. Thus, in this study, we propose a multi-party privacy-preserving logistic regression framework with poor quality data filtering for IoT data contributors to address both problems. Specifically, we propose a new metric gradient similarity in a distributed setting that we employ to filter out parameters from data contributors with poor quality data. To solve the privacy challenge, we employ homomorphic encryption. Theoretical analysis and experimental evaluations using real-world datasets demonstrate that our proposed framework is privacy-preserving and robust against poor quality data.
Vaccination Is Not Enough: Understanding the Increase in Cases of COVID-19 in Chile despite a High Vaccination Rate
Authors: Lanzavecchia Sabrina , Beyer Katharina Johanna , Evina Bolo Sophie
Published: August 2021

Chile, an OECD country in the southern hemisphere, surprised the world with a high speed COVID-19 vaccination rate at the beginning of 2021. Despite this, cases reached a record high again in April 2021, and the country went back to a state of emergency. The reasons for this are multiple, complex, and interconnected. A feeling of false safety with the beginning of vaccination, the appearance of new more transmissible variants, too early relaxation of non-pharmacological measures at a point of vaccination below herd immunity, and vaccination in a high prevalence setting, appear to be main reasons for the resurgence. However, the political context and the socio-economic inequalities in Chile also play an important role, and are more difficult to measure and to compare with other countries. In conclusion, the Chilean example is a warning sign not to count on vaccination figures alone, and to maintain some of the previous non-pharmaceutical strategies to contain the pandemic.
Deciphering Plant Chromatin Regulation via CRISPR/dCas9-Based Epigenome Engineering
Authors: Dubois Annick , Roudier François
Published: August 2021

CRISPR-based epigenome editing uses dCas9 as a platform to recruit transcription or chromatin regulators at chosen loci. Despite recent and ongoing advances, the full potential of these approaches to studying chromatin functions in vivo remains challenging to exploit. In this review we discuss how recent progress in plants and animals provides new routes to investigate the function of chromatin regulators and address the complexity of associated regulations that are often interconnected. While efficient transcriptional engineering methodologies have been developed and can be used as tools to alter the chromatin state of a locus, examples of direct manipulation of chromatin regulators remain scarce in plants. These reports also reveal pitfalls and limitations of epigenome engineering approaches that are nevertheless informative as they are often associated with locus- and context-dependent features, which include DNA accessibility, initial chromatin and transcriptional state or cellular dynamics. Strategies implemented in different organisms to overcome and even take advantage of these limitations are highlighted, which will further improve our ability to establish the causality and hierarchy of chromatin dynamics on genome regulation.
Biological Legacies and Rockfall: The Protective Effect of a Windthrown Forest
Authors: Costa Maximiliano , Marchi Niccolò , Bettella Francesco , Bolzon Paola , Berger Frédéric , Lingua Emanuele
Published: August 2021

Windstorms represent one of the main large-scale disturbances that shape the European landscape and influence its forest structure, so post-event restoration activities start to gain a major role in mountainous forest management. After a disturbance event, biological legacies may enhance or maintain multiple ecosystem services of mountain forests such as protection against natural hazards, biodiversity conservation, or erosion mitigation. However, the conservation of all these ecosystem services after stand-replacing events could go against traditional management practices, such as salvage logging. Thus far, the impact of salvage logging and removal of biological legacies on the protective function of mountain stands has been poorly studied. Structural biological legacies may provide protection for natural regeneration and may also increase the terrain roughness providing a shielding effect against gravitational hazards like rockfall. The aim of this project is to understand the dynamics of post-windthrow recovery processes and to investigate how biological legacies affect the multifunctionality of mountain forests, in particular the protective function. To observe the role of biological legacies we performed 3000 simulations of rockfall activity on windthrown areas. Results show the active role of biological legacies in preventing gravitational hazards, providing a barrier effect and an energy reduction effect on rockfall activity. To conclude, we underline how forest management should take into consideration the protective function of structural legacies. A suggestion is to avoid salvage logging in order to maintain the multifunctionality of damaged stands during the recovery process.