bluuebunny/crossref_metadata_2025_split huggingface dataset:
MNAzymes and gold nanoparticles as isothermal signal amplification strategy for visual detection of miRNA
Authors: Sánchez-Visedo Adrián , Gallego-Martínez Borja , Royo Luis José , Soldado Ana , Valledor Marta , Campo Juan Carlos , Ferrero Francisco Javier , Costa-Fernández José Manuel , Fernández-Argüelles María Teresa 
Published: July 2023

AbstractMicroRNAs (miRNAs) represent a class of small noncoding RNAs that are considered a novel emerging class of disease biomarkers in a variety of afflictions. Sensitive detection of miRNA is typically achieved using hybridization-based methods coupled with genetic amplification techniques. Although their sensitivity has improved, amplification techniques often present erroneous results due to their complexity. In addition, the use of these techniques is usually linked to the application of protein enzymes, the activity of which is dependent on the temperature and pH of the medium. To address these drawbacks, an alternative genetic enzyme for the highly sensitive detection of miRNAs is proposed in this work. Multicomponent nucleic acid enzymes (MNAzymes), coupled with the use of DNA-functionalized gold nanoparticles (AuNPs), were used in this study to develop an isothermal signal amplification strategy for visual genetic detection. miR146a, a biomarker of bovine mastitis present in milk, was selected as a model analyte. The developed methodology is easily carried out in 80 min at 50 °C, generating a low visual limit of detection of 250 pM based on the observation of a color change. The methodology was successfully applied to the detection of miR146a in raw cow milk samples.
Graphical Abstract
Synthesis of a novel magnetic nanomaterial for the development of a multielemental speciation method of lead, mercury, and vanadium via HPLC-ICP MS
Authors: Montoro-Leal Pablo , García-Mesa Juan Carlos , Morales-Benítez Irene , Vázquez-Palomo Laura , López Guerrero María del Mar , Vereda Alonso Elisa I. 
Published: July 2023

AbstractA new magnetic functionalized material based on graphene oxide magnetic nanoparticles named by us, M@GO-TS, was designed and characterized in order to develop a magnetic solid-phase extraction method (MSPE) to enrich inorganic and organic species of lead, mercury, and vanadium. A flow injection (FI) system was used to preconcentrate the metallic and organometallic species simultaneously, while the ultra-trace separation and determination of the selected species were achieved by high-performance liquid chromatography coupled to inductively coupled plasma mass spectrometry (HPLC-ICP MS). Therefore, preconcentration and separation/determination processes were automated and conducted separately. To the best of our knowledge, this is the first method combining an online MSPE and HPLC-ICP MS for multielemental speciation. Under the optimized conditions, the enrichment factor obtained for PbII, trimethyllead (TML), HgII, methylmercury (MetHg), and VV was 27. The calculated LOD for all studied species were as follows: 5 ng L−1, 20 ng L−1, 2 ng L−1, 10 ng L−1, and 0.4 ng L−1, respectively. The RSD values calculated with a solution containing 0.5 μg L−1 of all species were between 2.5 and 4.5%. The developed method was validated by analyzing Certified Reference Materials TMDA 64.3 for total concentration and also by recovery analysis of the species in human urine from volunteers and a seawater sample collected in Málaga. The t statistical test showed no significant differences between the certified and found values for TMDA 64.3. All the recoveries obtained from spiked human urine and seawater samples were close to 100%. All samples were analyzed using external calibration. The developed method is sensitive and promising for routine monitoring of the selected species in environmental waters and biological samples.
Graphical abstract
Anatomic trajectory for iliac screw placement adapts better to the morphological features of the pelvis of each individual than the S2 alar iliac screw: a radiological study
Authors: Galovich Luis Álvarez , Bordón Julia Montoya , Blanco Irantzu Castelbon , Peiro Alejandro , Mengis Charles Louis , Piñera Ángel R. , Tomé-Bermejo Félix , Gallego Jesus 
Published: July 2023

Abstract
Purpose
The iliac fixation (IF) through the S2 ala permits the minimization of implant prominence and tissue dissection. An alternative to this technique is the anatomic iliac screw fixation (AI), which considers the perpendicular axis to the narrowest width of the ileum and the width of the screw. The morphological accuracy of the iliac screw insertion of two low profile iliac fixation (IF) techniques is investigated in this study.

Methods
Twenty-nine patients operated on via low profile IF technique were divided into two groups, those treated using 28 screws with the starting point at S2, and those treated with 30 AI entry point. Radiological parameters (Tsv-angle, Sag-Angle, Max-length, sacral-distance, iliac-width, S2-midline, skin-distance, iliac-wing, and PSIS distance) and clinical outcomes (early and clinic complications) were evaluated by two blinded expert radiologists, and the results were compared in both groups with the real trajectory of the screws placed.

Results
Differences between ideal and real trajectories were observed in 6 of the 9 evaluated parameters in the S2AI group. In the AI group, these trajectories were similar, except for TSV-Angle, Max-length, Iliac-width, and distance to iliac-wing parameters. Moreover, compared with S2AI, AI provided better adaptation to the pelvic morphology in all parameters, except for sagittal plane angulation, skin distance, and iliac width.

Conclusions
AI ensures the advantages of low profile pelvic fixation like S2AI, with a starting point in line with S1 pedicle anchors and low implant prominence, and moreover adapts better to the morphological features of the pelvis of each individual.
LAD: an application design model to support the analysis of large-scale personal data collections generated by lifelogging
Authors: Duane Aaron , Jónsson Björn Þór , Lee Hyowon , Gurrin Cathal 
Published: July 2023

AbstractLifelogging is a form of personal data collection which seeks to capture the totality of one’s experience through intelligent technology and sensors. Yet despite notable advancement in such technologies, there remain persistent challenges to developing interactive systems to analyse the types of large-scale personal collections often generated by lifelogging. In response to this, we present the Lifelog Application Design (LAD) model which is intended to address these challenges and support the design of more novel interactive systems that may target a broader range of application use cases. The model is deliberately structured to remain impartial to the specific personal data, technology platform, or application criterion, to provide maximum utility across the domain. We demonstrate this utility by exploring two case studies and a retrospective analysis of VRLE, a real-world application prototype developed to examine the potential of large-scale personal data retrieval in virtual reality. This work is based on the accumulation of insights garnered from involvement in a number of collaborative lifelogging projects over the past decade. It is our goal to encourage future researchers to utilise the LAD model to support the design and development of their own application prototypes and further solidify the model’s contribution to the domain as a whole.
Combining knowledge bases for small wins in peripheral regions. An analysis of the role of innovation intermediaries in sustainability transitions
Authors: Friedrich Christoph , Feser Daniel 
Published: July 2023

AbstractA growing number of economic geography scholars have discussed the spatial dimensions of sustainability transitions (STs), which entail radical changes in socio-technical systems to overcome societal, economic, and ecological problems. This involves innovation processes with a broad range of distinctive actors. Innovation intermediaries, such as universities and research institutes, are needed to support and accelerate the transfer of knowledge. Nevertheless, little is known about the influence of such actors on the configuration of the knowledge bases required for STs. This article presents insights from 14 semi-structured interviews with experts conducted in a regional innovation system (RIS) in East Germany. In cooperation with the Eberswalde University for Sustainable Development, we investigate four innovation intermediaries in the region of Eberswalde. The analytical framework links the concept of differentiated knowledge bases to small wins. Our results show that, first, in the Eberswalde region, the relevant actors involved in regional knowledge transfer focus predominantly on synthetic knowledge bases, such as experience-based knowledge of local area settings. Second, symbolic knowledge bases are crucial and often prerequisites for intermediary organizations to recombine knowledge bases and support the capability to innovate in regional knowledge transfer. Symbolic knowledge entails the ability to translate scientific findings to a language that can be understood by the various actors in knowledge transfer. Third, changes in organizational structures complement changes in cultural–cognitive and normative institutions to support innovation on a systemic level and foster change processes.
Profiling salivary miRNA expression levels in Fanconi anemia patients – a pilot study
Authors: Tang Kai Dun , Amenábar José M. , Schussel Juliana L. , Torres-Pereira Cassius Carvalho , Bonfim Carmem , Dimitrova Nevenka , Hartel Gunter , Punyadeera Chamindie 
Published: July 2023

AbstractThe overarching goal of this study is to predict the risk of developing oral squamous cell carcinoma (OSCC) in Fanconi anemia (FA) patients. We have compared the microRNA (miRNA, miR) expression levels in saliva samples from FA patients (n = 50) who are at a low-moderate and/or high risk of developing OSCC to saliva samples from healthy controls (n = 16). The miRNA expression levels in saliva samples were quantified using qPCR. We observed that miR-744, miR-150-5P, and miR-146B-5P had the best discriminatory capacity between FA patients and controls, with an area under the curve (AUC) of 94.0%, 92.9% and 85.3%, respectively. Our data suggest that miR-1, miR-146B-5P, miR-150-5P, miR-155-5P, and miR-744 could be used as panel to predict the risk of developing OSCC in FA patients, with a 89.3% sensitivity and a 68.2% specificity (AUC = 81.5%). Our preliminary data support the notion that the expression levels of salivary miRNAs have the potential to predict the risk of developing OSCC in FA patients and in the future may reduce deaths associated with OSCC.
Early-onset hereditary isolated non-neurogenic orthostatic hypotension in a Swedish family
Authors: Fagius Jan , Klar Joakim , Dahl Niklas 
Published: July 2023

Abstract
Purpose
Orthostatic hypotension is a common condition with heterogeneous and, in many cases, unclear underlying pathophysiology. Frequent symptoms are syncope and falls with a strong impact on daily life. A two-generation family with eight individuals segregating early-onset severe orthostatic hypotension with persistent tachycardia in upright position and repeated faints was identified. Our aim was to elucidate the underlying pathophysiology.

Methods
One severely affected individual underwent thorough investigation with neurophysiological and blood pressure (BP) measurements, including direct recording of baroreflex-governed sympathetic nerve signalling and induction of BP rise with phenylephrine. Family members underwent parts of the examination. Genetic analysis using exome sequencing was performed.

Results
Marked postural hypotension with greatly reduced cardiac preload was observed, but without signs of autonomic nervous system dysfunction: sympathetic nerve signalling was normal, as were catecholamine levels, and phenylephrine stimulation revealed a normal increase in BP. The results of the genetic analysis using exome sequencing comprising all known genes associated with the regulation of BP and catecholamine metabolism were normal.

Conclusion
The combined findings suggest an autosomal dominant form of early-onset orthostatic hypotension with variable clinical expression and without any additional autonomic dysfunction. It is possible that further investigation will reveal an as yet undescribed entity of orthostatic hypotension transmitted as an autosomal dominant trait.
On the equivalence of ionospheric-free, differenced, and undifferenced, uncombined GNSS network processing
Authors: Platz Hans Daniel 
Published: July 2023

AbstractGlobal Navigation Satellite System (GNSS) observations are commonly processed using various established methods, including the processing of ionospheric-free (IF) linear combinations (LC), differences of observations as well as the processing of undifferenced, uncombined (UDUC) observations. The most general and flexible approach to GNSS processing is widely regarded to be the UDUC approach, as this approach is based on the raw observation equations of potentially all available observations. The IF approach uses IF-LC obtained by observations on different frequencies but the same receiver-satellite link to eliminate the ionospheric slant delay. The differencing approach also uses LC of observations, with the distinction that observations of the same signal but different receivers and/or satellites are being used. The purpose of differencing is the elimination of satellite/receiver clocks and biases and, in some cases, reducing or even eliminating atmospheric delays. We aim to uncover the implicit model assumptions made when using various IF and differencing approaches and in what case they are equivalent to the processing of the UDUC observations. This is achieved by introducing a reformulation method, which is then applied to the UDUC observations of code division multiple access GNSS to obtain the functional models of various IF and differencing approaches. The underlying assumptions in this reformulation can then be identified. The results of this theoretical contribution will provide insight into the most appropriate method for processing GNSS observations in different cases and what implicit assumptions are being made when the respective method is being used.
Cognitive enhancing effects of pazopanib in D‑galactose/ovariectomized Alzheimer’s rat model: insights into the role of RIPK1/RIPK3/MLKL necroptosis signaling pathway
Authors: Abdelhady Rasha , Younis Nancy S. , Ali Omaima , Shehata Samah , Sayed Rabab H. , Nadeem Rania I. 
Published: July 2023

AbstractNecroptosis, a programmed form of necrotic cell death carried out by receptor-interacting serine/threonine protein kinase 1 (RIPK1) and RIPK3, has been found to be implicated in the pathogenesis of Alzheimer’s disease (AD). An FDA-approved anti-cancer drug, pazopanib, is reported to possess potent inhibitory effect against necroptosis via interfering with RIPK1. So far, there are no existing data on the influence of pazopanib on necroptotic pathway in AD. Thus, this study was designed to explore the impact of pazopanib on cognitive impairment provoked by ovariectomy (OVX) together with D-galactose (D-Gal) administration in rats and to scrutinize the putative signaling pathways underlying pazopanib-induced effects. Animals were allocated into four groups; the first and second groups were exposed to sham operation and administered normal saline and pazopanib (5 mg/kg/day, i.p.), respectively, for 6 weeks, while the third and fourth groups underwent OVX then were injected with D-Gal (150 mg/kg/day, i.p.); concomitantly with pazopanib in the fourth group for 6 weeks. Pazopanib ameliorated cognitive deficits as manifested by improved performance in the Morris water maze besides reversing the histological abnormalities. Pazopanib produced a significant decline in p-Tau and amyloid beta (Aβ) plaques. The neuroprotective effect of pazopanib was revealed by hampering neuroinflammation, mitigating neuronal death and suppressing RIPK1/RIPK3/MLKL necroptosis signaling pathway. Accordingly, hindering neuroinflammation and the necroptotic RIPK1/RIPK3/MLKL pathway could contribute to the neuroprotective effect of pazopanib in D-Gal/OVX rat model. Therefore, this study reveals pazopanib as a valuable therapeutic agent in AD that warrants future inspection to provide further data regarding its neuroprotective effect.
Multisystem inflammatory syndrome in children (MIS-C): Implications for long COVID
Authors: Constantin Tamás , Pék Tamás , Horváth Zsuzsanna , Garan Diána , Szabó Attila J. 
Published: July 2023

AbstractThe COVID-19 pandemic caused by the coronavirus 2 of the severe acute respiratory syndrome (SARS-CoV-2) has significantly affected people around the world, leading to substantial morbidity and mortality. Although the pandemic has affected people of all ages, there is increasing evidence that children are less susceptible to SARS-CoV-2 infection and are more likely to experience milder symptoms than adults. However, children with COVID-19 can still develop serious complications, such as multisystem inflammatory syndrome in children (MIS-C). This narrative review of the literature provides an overview of the epidemiology and immune pathology of SARS-CoV-2 infection and MIS-C in children. The review also examines the genetics of COVID-19 and MIS-C in children, including the genetic factors that can influence the susceptibility and severity of the diseases and their implications for personalized medicine and vaccination strategies. By examining current evidence and insights from the literature, this review aims to contribute to the development of effective prevention and treatment strategies for COVID-19, MIS-C, and long COVID syndromes in children.
Neuromodulatory effect of vardenafil on aluminium chloride/d-galactose induced Alzheimer’s disease in rats: emphasis on amyloid-beta, p-tau, PI3K/Akt/p53 pathway, endoplasmic reticulum stress, and cellular senescence
Authors: Awad Heba H. , Desouky Mahmoud A. , Zidan Alaa , Bassem Mariam , Qasem Amaal , Farouk Mona , AlDeab Haidy , Fouad Miral , Hany Cherry , Basem Nada , Nader Rita , Alkalleny Ashrakat , Reda Verina , George Mina Y. 
Published: July 2023

Abstract
Dysregulation of protein homeostasis, proteostasis, is a distinctive hallmark of many neurodegenerative disorders and aging. Deleteriously, the accumulation of aberrant proteins in Alzheimer’s disease (AD) is accompanied with a marked collapse in proteostasis network. The current study explored the potential therapeutic effect of vardenafil (VAR), a phosphodiesterase-5 inhibitor, in AlCl3/d-galactose (d-gal)-induced AD in rats and its possible underlying mechanisms. The impact of VAR treatment on neurobehavioral function, hippocampal tissue architecture, and the activity of the cholinergic system main enzymes were assessed utilizing VAR at doses of 0.3 mg/kg and 1 mg/kg. Additionally, the expression level of amyloid-beta and phosphorylated tau proteins in the hippocampus were figured out. Accordingly, VAR higher dose was selected to contemplate the possible underlying mechanisms. Intriguingly, VAR elevated the cyclic guanosine monophosphate level in the hippocampus and averted the repressed proteasome activity by AlCl3/d-gal; hence, VAR might alleviate the burden of toxic protein aggregates in AD. In addition, a substantial reduction in the activating transcription factor 6-mediated endoplasmic reticulum stress was demonstrated with VAR treatment. Notably, VAR counteracted the AlCl3/d-gal-induced depletion of nuclear factor erythroid 2-related factor 2 level. Moreover, the anti-senescence activity of VAR was demonstrated via its ability to restore the balance of the redox circuit. The modulation of phosphatidylinositol-3-kinase/protein kinase B/p53 pathway and the reduction of nuclear factor kappa B level, the key regulator of senescence-associated secretory phenotype mediators release, with VAR treatment were also elucidated. Altogether, these findings insinuate the possible therapeutic benefits of VAR in AD management.

Graphic abstract
A Multisession SLAM Approach for RatSLAM
Authors: Menezes Matheus , Muñoz Mauro , Pignaton de Freitas Edison , Cheng Sen , de Almeida Neto Areolino , Ribeiro Paulo , Oliveira Alexandre 
Published: July 2023

AbstractTo successfully perform autonomous navigation, mobile agents must solve the Simultaneous Localization and Mapping (SLAM) problem. However, acquiring the map in a single SLAM session may not be possible, thus the map may be incrementally built over multiple sessions. Two solutions could be considered to solve the multisession SLAM problem: (i) the robot must localize itself in the previously stored map before the new session starts; (ii) it can start a new map and merge it with the map from the previous sessions. To date, only scenario (i) has been addressed by RatSLAM, an algorithm inspired by the navigation system in rodent brains. Therefore, this work proposes a multisession solution that solves both scenarios. A new mechanism merges the data from the RatSLAM structures of the current mapping session with those previously stored if there are connections between these paths. This approach was tested in four different scenarios, from virtual controlled environments to real-world environments with two, three, and five sessions. The robot started in an unfamiliar location for each mapping session, but it also works if the agent starts in a known place, scenario (ii) and (i), respectively. For all experiments, the entire map was consistently obtained. Furthermore, the proposed approach updates and enhances the previous session’s map in real-world environments. Therefore, the proposed approach may be a multiple SLAM session solution for the RatSLAM algorithm.
Surface-Based Computation of the Euler Characteristic in the BCC Grid
Authors: Čomić Lidija , Magillo Paola 
Published: July 2023

AbstractAs opposed to the 3D cubic grid, the body-centered cubic (BCC) grid has some favorable topological properties: each set of voxels in the grid is a 3-manifold, with 2-manifold boundary. Thus, the Euler characteristic of an object O in this grid can be computed as half of the Euler characteristic of its boundary $$\partial O$$

∂
O

. We propose three new algorithms to compute the Euler characteristic in the BCC grid with this surface-based approach: one based on (critical point) Morse theory and two based on the discrete Gauss–Bonnet theorem. We provide a comparison between the three new algorithms and the classic approach based on counting the number of cells, either of the 3D object or of its 2D boundary surface.