bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fabrication of mesoporous CrTe supported on graphitic carbon nitride as an efficient electrocatalyst for water oxidation
Authors: Seliem Amal F. , Ashiq Muhammad Faheem , Jabbour Karam , Mohammed Ayeda Y. A. , Bano Nigarish , Attia A. , Ansari Mohammad Numair , Ashiq Muhammad Naeem , Ibrahim Mohamed M. 
Published: September 2023

It is essential to produce oxygen evolution reaction (OER) electrocatalysts, which are active and enduring for water electrolyzers. In order to create the effective OER, new chromium telluride/graphitic carbon nitride (gCN/CrTe) is produced via simple hydrothermal method. In this case, catalyst super hydrophilic surface is developed by the addition of 10% gCN nanosheets that can optimize the revelation of active sites and encourage the mass dispersion. Due to the robust contact among CrTe and gCN, which causes a lattice strain and an increase in the electron density around Cr sites, regulating the bonding between the catalyst and chemical intermediates. The improved 10% gCN/CrTe nanocomposite offers not only a good endurance but also by the highest mass activity. The synthesized 10% gCN/CrTe electrocatalysts provided low overpotential around 187 mV for OER to achieve a current density of 10 mA/cm2 in alkaline media with 51.0 h of long durability. Paving the way for innovative applications, this will enable the manipulation of advanced materials' fundamental properties at the atomic scale.
Habituation of auditory responses in young autistic and neurotypical children
Authors: Dwyer Patrick , Williams Zachary J. , Vukusic Svjetlana , Saron Clifford D. , Rivera Susan M. 
Published: September 2023

AbstractPrior studies suggest that habituation of sensory responses is reduced in autism and that diminished habituation could be related to atypical autistic sensory experiences, for example, by causing brain responses to aversive stimuli to remain strong over time instead of being suppressed. While many prior studies exploring habituation in autism have repeatedly presented identical stimuli, other studies suggest group differences can still be observed in habituation to intermittent stimuli. The present study explored habituation of electrophysiological responses to auditory complex tones of varying intensities (50–80 dB SPL), presented passively in an interleaved manner, in a well‐characterized sample of 127 autistic (MDQ = 65.41, SD = 20.54) and 79 typically developing (MDQ = 106.02, SD = 11.50) children between 2 and 5 years old. Habituation was quantified as changes in the amplitudes of single‐trial responses to tones of each intensity over the course of the experiment. Habituation of the auditory N2 response was substantially reduced in autistic participants as compared to typically developing controls, although diagnostic groups did not clearly differ in habituation of the P1 response. Interestingly, the P1 habituated less to loud 80 dB sounds than softer sounds, whereas the N2 habituated less to soft 50 dB sounds than louder sounds. No associations were found between electrophysiological habituation and cognitive ability or participants' caregiver‐reported sound tolerance (Sensory Profile Hyperacusis Index). The results present study results extend prior research suggesting habituation of certain sensory responses is reduced in autism; however, they also suggest that habituation differences observed using this study's paradigm might not be a primary driver of autistic participants' real‐world sound intolerance.
In‐house standards derived from doping peptides: Enzymatic and serum stability and degradation profile of GHRP and GHRH‐related peptides
Authors: González‐López Nicolás Mateo , Guerra‐Acero‐Turizo Luisa María , Blanco‐Medina Isabella , Barragán‐Cárdenas Andrea Carolina , Ramírez‐Celis David Augusto , Martínez‐Ramírez Jorge Ariel , Fierro‐Medina Ricardo , García‐Castañeda Javier Eduardo , Rivera‐Monroy Zuly Jenny 
Published: September 2023

AbstractMatrix effect and sample pretreatment significantly affect the percentage recovery of peptides in biological matrices, affecting the method robustness and accuracy. To counteract this effect, an internal standard (IS) is used; however, in most cases this is not available, which limits the analytical method. It is important to identify short peptides that can be used as ISs in the quantification of peptides in biological matrices. In this study, doping peptides GHRP‐4, GHRP‐5, GHRP‐6, Sermorelin (1–11), Sermorelin (13–20) and Sermorelin (22–29) were synthesized using solid‐phase peptide synthesis. Treatment with human blood, trypsin and chymotrypsin was used to determine the stability of the peptides. Products were evaluated using the high‐performance liquid chromatography‐diode array detector (HPLC‐DAD) method. The analytical methodology and sample pretreatment were effective for the analysis of these molecules. A unique profile related to protein binding and enzymatic stability of each peptide was established. GHRP‐4, GHRP‐6 and Sermorelin (22–29) can be considered as in‐house ISs as they were stable to enzyme and blood treatment and can be used for the quantification of peptides in biological samples. Peptides GHRP‐6 and Sermorelin (22–29) were used to analyse a dimeric peptide (26[F] LfcinB (20–30)2) in four different matrices to test these peptides as in‐house IS.
Thrombotic microangiopathy after traumatic brain injury: A case report and review of the literature
Authors: Van Meerbeeck Xavier , Janssen Leen , Vleut Rowena , Verdonck Philip , Gadisseur Alain , De Paep Rudi , Verbrugghe Walter , Jorens Philippe 
Published: September 2023

Key Clinical MessageThis case report supports that trauma can rarely cause thrombotic microangiopathy (TMA). Early recognition is important due to a high mortality of untreated TMA, but diagnosis can be delayed by attributing lab abnormalities as due to blood loss.AbstractMajor trauma can provoke coagulopathy, ranging from hypo‐ to hypercoagulation. Thrombotic microangiopathy (TMA), characterized by hemolytic anemia, renal failure, thrombocytopenia, and intravascular hemolysis, results in bleeding tendency but also microvascular thrombosis. We report a rare case of isolated traumatic brain injury leading to TMA treated with plasmapheresis.
Patient‐physician interactions in hereditary angioedema—Key learnings from the coronavirus disease 2019 pandemic
Authors: Maurer Marcus , Buttgereit Thomas , Magerl Markus , Schön Kathrin , Balla Zsusanna , Farkas Henriette 
Published: September 2023

AbstractBackgroundThe coronavirus disease pandemic and its containing measures have caused concerns for patients with hereditary angioedema (HAE) and their treating physicians. Both faced challenges surrounding interaction, and communication had to adapt to facilitate appropriate management. Specifically, the pandemic resulted in reduced in‐person contact in clinics. Where possible, telemedicine appointments were offered and treatment outside the hospital setting was encouraged.BodyThe pandemic markedly affected patient‐physician communication, which is essential to maintain partnerships and optimize care. Although patients with HAE are often experts in their condition, guidance by their physicians is essential, especially with the recent shift toward patient‐centered management for rare diseases and shared decision‐making (SDM). SDM enables patients to take control of their disease and allows the risks and benefits of treatment to be discussed with their physicians. This review explores perspectives from patients and physicians in the HAE clinical setting, particularly regarding their experiences with communication throughout the pandemic. We discuss the importance of SDM in rare diseases such as HAE, factors that impact effective communication, and potential solutions.ConclusionSince patient‐centered care and SDM have particular relevance in rare diseases in general, we believe our findings could be transferrable and applicable in the management of other rare diseases.
Effect of mitochondrial circulation on mitochondrial age density distribution
Authors: Kuznetsov Ivan A. , Kuznetsov Andrey V. 
Published: September 2023

AbstractRecent publications report that although the mitochondria population in an axon can be quickly replaced by a combination of retrograde and anterograde axonal transport (often within less than 24 hours), the axon contains much older mitochondria. This suggests that not all mitochondria that reach the soma are degraded and that some are recirculating back into the axon. To explain this, we developed a model that simulates mitochondria distribution when a portion of mitochondria that return to the soma are redirected back to the axon rather than being destroyed in somatic lysosomes. Utilizing the developed model, we studied how the percentage of returning mitochondria affects the mean age and age density distributions of mitochondria at different distances from the soma. We also investigated whether turning off the mitochondrial anchoring switch can reduce the mean age of mitochondria. For this purpose, we studied the effect of reducing the value of a parameter that characterizes the probability of mitochondria transition to the stationary (anchored) state. The reduction in mitochondria mean age observed when the anchoring probability is reduced suggests that some injured neurons may be saved if the percentage of stationary mitochondria is decreased. The replacement of possibly damaged stationary mitochondria with newly synthesized ones may restore the energy supply in an injured axon. We also performed a sensitivity study of the mean age of stationary mitochondria to the parameter that determines what portion of mitochondria re‐enter the axon and the parameter that determines the probability of mitochondria transition to the stationary state. The sensitivity of the mean age of stationary mitochondria to the mitochondria stopping probability increases linearly with the number of compartments in the axon. High stopping probability in long axons can significantly increase mitochondrial age.
Effect of Calcination Temperature on the Structural and Optical Properties of FeSbO4 Nanostructures
Authors: Sahana B. V. , Kumar M. Uday , Swetha R. , Kuri Ramappa S. , Kumari Latha 
Published: September 2023

AbstractIn the present work, a Solvothermal method is employed to prepare reactive nanoparticles of FeSbO4 by varying synthesis conditions. A systematic evolution of FeSbO4 phase formation as a function of calcination temperature is monitored by in situ Powder X‐ray Diffraction (pXRD). XRD data reveals that the pure FeSbO4 phase is obtained at calcination temperature of 700 °C and above which can be indexed to rutile FeSbO4 phase. However, below this, temperature various secondary phases are observed. Surface morphology analysis shows pellet‐shaped nanoparticles with narrow size distribution and particle size below 100 nm. Moreover, material calcined at 900 °C shows large‐size particles due to fusing and agglomeration. Energy‐dispersive X‐ray spectroscopy (EDS) data reveals the purity and elemental composition of the as‐synthesized nanostructures. The spectroscopic studies by Fourier Transform Infrared spectroscopy (FTIR) give information about the presence of various functional groups in FeSbO4 nanoparticles in the range 400–900 cm−1. The UV–vis spectroscopy analysis presents absorption peak in the range of 208–228 nm for FeSbO4 nanoparticles. A band gap of around 3.85 eV is obtained from Tauc's plot. The FeSbO4 nanoparticles can be used for sensor, for electrochemical applications, and also as possible oxide thermoelectric with suitable composites.
Virucidal activity of trehalose 6‐monolaurate against dengue virus in vitro
Authors: Lu Jeng‐Wei , Huang Chin‐Kai , Chen Yen‐Chen , Lee Guan‐Chiun , Ho Yi‐Jung 
Published: September 2023

AbstractDengue fever is an acute febrile disease caused by dengue virus (DENV) infection. Over the past 60 years, DENV has spread throughout tropical regions and currently affects more than 50% of the world's population; however, there are as of yet no effective anti‐DENV drugs for clinical treatment. A number of research teams have investigated derivatives of glycolipids as possible agents for the inhibition of DENV. Our objective in this research was to study the antiviral effects of trehalose 6‐caprate (TMC), trehalose 6‐monolaurate (TML), and trehalose 6‐monooleate (TMO), based on reports that the corresponding glycosyl, trehalose, reduces the transmission of Zika virus (ZIKV). We also sought to elucidate the molecular mechanisms underlying inhibition using the RNA isolation and reverse transcription‐quantitative polymerase chain reaction, western blot analysis, median tissue culture infectious dose (TCID50) assay, and immunofluorescence assay and immunochemistry staining, in vitro. This is the first study to demonstrate the TML‐induced inhibition of DENV serotype 2 (DENV‐2) in a dose‐dependent manner. The inhibitory effects of TML in the pretreated, cotreated, and full‐treated groups were confirmed using time of addition assays. We determined that TML restricted viral binding, entry, replication, and release. We also confirmed the efficacy of TML against three clinical isolates of DENV serotypes 1, 3, and 4 (DENV‐1, DENV‐3, and DENV‐4). The findings obtained in this study identify TML as a promising candidate for the development of drugs to treat DENV infection.
Avoiding bias in estimates of population size for translocation management
Authors: Bickerton Katherine T. , Ewen John G. , Canessa Stefano , Cole Nik C. , Frost Fay , Mootoocurpen Rouben , McCrea Rachel 
Published: September 2023

AbstractMark–recapture surveys are commonly used to monitor translocated populations globally. Data gathered are then used to estimate demographic parameters, such as abundance and survival, using Jolly–Seber (JS) models. However, in translocated populations initial population size is known and failure to account for this may bias parameter estimates, which are important for informing conservation decisions during population establishment. Here, we provide methods to account for known initial population size in JS models by incorporating a separate component likelihood for translocated individuals, using a maximum‐likelihood estimation, with models that can be fitted using either R or MATLAB. We use simulated data and a case study of a threatened lizard species with low capture probability to demonstrate that unconstrained JS models may overestimate the size of translocated populations, especially in the early stages of post‐release monitoring. Our approach corrects this bias; we use our simulations to demonstrate that overestimates of population size between 78% and 130% can occur in the unconstrained JS models when the detection probability is below 0.3 compared to 1%–8.9% for our constrained model. Our case study did not show an overestimate; however accounting for the initial population size greatly reduced error in all parameter estimates and prevented boundary estimates. Adopting the corrected JS model for translocations will help managers to obtain more robust estimates of the population sizes of translocated animals, better informing future management including reinforcement decisions, and ultimately improving translocation success.
Arts and culture in transformation: A critical analysis of the national plans for the European Recovery and Resilience Facility
Authors: Betzler Diana , Loots Ellen , Prokůpek Marek 
Published: September 2023

AbstractThe understanding of resilience, and how the ability to respond or adjust to new situations can be implemented and evaluated, gained prominence in public policy. This study examines how European Union (EU) member states plan to support cultural and creative sectors (CCSs) within the Recovery and Resilience Facility (RRF) of the NextGenerationEU Program and how they plan the CCSs to contribute to the grand challenges of our time. Using mixed methods, it is found that the understanding of how structural deficiencies in CCSs can be addressed is not systematic and not all countries invest to make the cultural infrastructure more future‐proof. Neither the budgets nor the mode of resilience (absorption, adaptation, and transformation) exposed in the plans consistently correlates with how countries intend to address key impact pillars. Countries with larger CCSs are more prone to transformation. The theoretical contribution lies in the elaboration of the concept of “ex ante resilience.”
Hybrid Pelican and Archimedes optimization algorithm fostered energy aware task scheduling in heterogeneous virtualized cloud computing
Authors: S. Soundararajan , Shanmugam Vimal , D. Karunkuzhali , S. Pradeep Kumar 
Published: September 2023

AbstractEnergy reduction is a key issue of virtualized cloud computing (CC) schemes, because it provide significant benefits, like lower operating costs, improving system effectiveness, securing the environment. Energy‐efficient task scheduling is a feasible mode to attain these objectives. Nevertheless, it is difficult to match cloud resources to user requests in a way that improves performance while meeting a user‐defined deadline for energy consumption reduction. Therefore, hybrid Pelican and Archimedes optimization algorithm fostered energy‐aware task scheduling in heterogeneous virtualized cloud computing (TS‐HVCC‐Hyb‐POA‐AOA) is proposed in this article. A hybrid Pelican and Archimedes optimization algorithm (Hyb‐POA‐AOA) is used to lessen the task duration and the consumption of power in the cloud. For evaluation, the cloud environment uses the provided environment hybrid Pelican and Archimedes optimization algorithm for execute a few common workloads at the simulated data center. The performance metrics, like makespan right skewed analysis, makespan left skewed analysis, energy consumption right skewed analysis, energy consumption left skewed analysis, availability and resource utilization is considered. The performance of the proposed TS‐HVCC‐Hyb‐POA‐AOA method provides 23.69%, 29.50%, and 36.78% higher resource utilization; 38.23%, 31.35%, and 26.19% lower consumption of energy left skewed analysis and 34.52%, 30.28%, and 23.54% lower makespan for right skewed analysis compared with existing methods such as; task scheduling in heterogeneous cloud environment with gray wolf optimization algorithm (TS‐HVCC‐GWOA), hybrid whale optimization approach and differential evolution optimization for multiple objective virtual machine programming at cloud services (TS‐HVCC‐WOA), energy and performance planning in TasterkHeterek virtualized cloud computing using particle swarm optimization algorithm (TS‐HVCC‐PSOA).
Forecast combination puzzle in the HAR model
Authors: Clements Adam , Vasnev Andrey L 
Published: September 2023

AbstractThe heterogeneous autoregressive (HAR) model has become the benchmark model for predicting realized volatility, given its simplicity and consistent empirical performance. Many modifications and extensions to the original model have been proposed that often only provide incremental forecast improvements. In this paper, we take a step back and view the HAR model as a forecast combination that combines three predictors: previous day realization (or random walk forecast), previous week average, and previous month average. When applying the ordinary least squares (OLS) to combine the predictors, the HAR model uses optimal weights that are known to be problematic in the forecast combination literature. In fact, an average of simpler HAR‐style models, and a simple average forecast often outperforms the optimal combination in many empirical applications. We investigate the performance of these simple combination forecasts for the realized volatility of the Dow Jones Industrial Average equity index, and a sample of individual constituent stocks, as well as across a range of other assets, commodities, exchange rates, and a range of global equity market indices. In all cases, we find dramatic improvements in forecast accuracy across all horizons and different time periods. The combinations also perform well relative to the logarithmic form of the HAR model and when using a volatility timing strategy in portfolio allocation. Thisis the first time the forecast combination puzzle is identified in this context.
Characterizing camel milk constituents in the Sprague–Dawley rats' blood: A comparative profile with cow's milk attributes
Authors: Al‐Saffar Amal M. , Al‐Qattan Nadia Y. , Al‐Sughayer Mona A. 
Published: September 2023

AbstractA comparative study of the hypoglycemic and hypotriglyceridemic effects of raw and pasteurized camel milk was conducted on the lipid profiles of six groups of male normal and diabetic Sprague–Dawley rats (age, 7–8 weeks, 5/group). The standard procedure to induce diabetes in rats was to administer a single intraperitoneal injection of streptozotocin (55 mg/kg, body weight). Rats with fasting blood glucose levels higher than 250 mg/dL were considered diabetics. Raw and pasteurized camel milk reduced blood glucose and triacylglycerol (TAG) levels in diabetic rats. Raw camel milk showed no significant effect on low‐density blood and lipoprotein cholesterol in diabetic rats. Contrarily, pasteurized camel milk significantly increased high‐density lipoprotein cholesterol in diabetic rats. Comparative analysis revealed camel milk with higher levels of lactose, vitamin C, and mono‐unsaturated fatty acids (MUFA) and lower levels of fat, protein, ω6:ω3 PUFA (poly‐unsaturated fatty acids), and index of atherogenicity than cow's milk. Experiments with cow's milk on rats were not carried out because of their characterized inexplicable traits. This novel study suggests that camel milk can be substituted for diabetic patients in place of cow's milk, assuring no side effects besides their effective hypoglycemic and hypotriglyceridemic qualities.
Glycolysis regulation in tumor‐associated macrophages: Its role in tumor development and cancer treatment
Authors: Jiang Guangyi , Hong Junjie , Sun Lu , Wei Haibin , Gong Wangang , Wang Shu , Zhu Jianqing 
Published: September 2023

AbstractTumor‐associated macrophages constitute the main cell population in the tumor microenvironment and play a crucial role in regulating the microenvironment composition. Emerging evidence has revealed that the metabolic profile determines the tumor‐associated macrophage phenotype. Tumor‐associated macrophage function is highly dependent on glucose metabolism, with glycolysis being the major metabolic pathway. Recent reports have demonstrated diversity in glucose flux of tumor‐associated macrophages and complex substance communication with cancer cells. However, how the glucose flux in tumor‐associated macrophages connects with glycolysis to influence tumor progression and the tumor microenvironment is still obscure. Moreover, while the development of single‐cell sequencing technology allows a clearer and more accurate classification of tumor‐associated macrophages, the metabolic profiles of tumor‐associated macrophages from the perspective of single‐cell omics has not been well summarized. Here, we review the current state of knowledge on glucose metabolism in tumor‐associated macrophages and summarize the metabolic profiles of different tumor‐associated macrophage subtypes from the perspective of single‐cell omics. Additionally, we describe the current strategies targeting glycolysis in tumor‐associated macrophages for cancer therapy.