bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nitrogen‐rich graphitic carbon nitride (g‐C3N5): Emerging low‐bandgap materials for photocatalysis
Authors: Vuong Hoai‐Thanh , Nguyen Duc‐Viet , Phuong Ly P. , Minh Phan P. D. , Ho Bao N. , Nguyen Hoai A. 
Published: June 2023

AbstractThe bottlenecks in photocatalytic materials primarily center on light absorption capacities and rapid charge recombination. Thus, many gigantic effects have been undertaken by worldwide scientists to address the issues. In this concept, carbon‐based photocatalysts, such as graphene or graphitic carbon nitrides (g‐C3N4), would frequently capture scientific fascination due to their distinct properties in catalytic applications. However, traditional materials would possess the drawbacks mentioned above. In the current era, nitrogen‐rich graphitic carbon nitrides (g‐C3N5) have emerged as a promising star for photocatalytic applications due to the significant enhancements in light absorption properties, which can activate in ultraviolet, visible, and even under near‐infrared irradiations. This review will summarize the recent progress in the fabrication of g‐C3N5 and the photocatalytic application of these based materials by thoroughly investigating current literature studies. Thus, updating the current trend in state‐of‐the‐art materials would motivate researchers to explore the field further.
From reactive to proactive load balancing for task‐based parallel applications in distributed memory machines
Authors: Thanh Chung Minh , Weidendorfer Josef , Fürlinger Karl , Kranzlmüller Dieter 
Published: June 2023

SummaryLoad balancing is often a challenge in task‐parallel applications. The balancing problems are divided into static and dynamic. “Static” means that we have some prior knowledge about load information and perform balancing before execution, while “dynamic” must rely on partial information of the execution status to balance the load at runtime. Conventionally, work stealing is a practical approach used in almost all shared memory systems. In distributed memory systems, the communication overhead can make stealing tasks too late. To improve, people have proposed a reactive approach to relax communication in balancing load. The approach leaves one dedicated thread per process to monitor the queue status and offload tasks reactively from a slow to a fast process. However, reactive decisions might be mistaken in high imbalance cases. First, this article proposes a performance model to analyze reactive balancing behaviors and understand the bound leading to incorrect decisions. Second, we introduce a proactive approach to improve further balancing tasks at runtime. The approach exploits task‐based programming models with a dedicated thread as well, namely . Nevertheless, the main idea is to force not only to monitor load; it will characterize tasks and train load prediction models by online learning. “Proactive” indicates offloading tasks before each execution phase proactively with an appropriate number of tasks at once to a potential victim (denoted by an underloaded/fast process). The experimental results confirm speedup improvements from to in important use cases compared to the previous solutions. Furthermore, this approach can support co‐scheduling tasks across multiple applications.
Deep learning‐based intraoperative video analysis for supporting surgery
Authors: Bai Jiayuan 
Published: June 2023

SummaryThe application of surgical tool detection and tracking and surgical phase recognition is research hotspots at present. Surgical tool detection and tracking provides accurate real‐time information to surgeons, helping them plan surgeries and get advance warnings so that procedures can be safer. Surgical phase recognition can help improve the surgery efficiency, facilitate surgeons to make correct decisions, and help evaluate surgeon skill. In this article, we described the advantages and disadvantages of applying deep learning to surgical procedures. Then, we analyzed the advantages of deep learning in visual analysis, summarized the algorithms typically used in surgical tool detection and tracking and surgical phase recognition, and reviewed the results of these algorithms. The main problems are disclosed and the development trend of deep learning‐based intraoperative video analysis for supporting surgery is briefly discussed.
On the Rich Chemistry of Pseudo‐Protic Ionic Liquid Electrolytes
Authors: Wylie Luke , Kéri Mónika , Udvardy Antal , Hollóczki Oldamur , Kirchner Barbara 
Published: June 2023

AbstractMixing weak acids and bases can produce highly complicated binary mixtures, called pseudo‐protic ionic liquids, in which a complex network of effects determines the physicochemical properties that are currently impossible to predict. In this joint computational‐experimental study, we investigated 1‐methylimidazole‐acetic acid mixtures through the whole concentration range. Effects of the varying ionization and excess of either components on the properties, such as density, diffusion coefficients, and overall hydrogen bonding structure were uncovered. A special emphasis was put on understanding the multiple factors that govern the conductivity of the system. In the presence of an excess of acetic acid, the 1‐methylimidazolium acetate ion pairs dissociate more efficiently, resulting in a higher concentration of independently moving, conducting ions. However, the conductivity measurements showed that higher concentrations of acetic acid improve the conductivity beyond this effect, suggesting in addition to standard dilution effects the occurrence of Grotthuss diffusion in high acid‐to‐base ratios. The results here will potentially help designing novel electrolytes and proton conducting systems, which can be exploited in a variety of applications.
SeagrassPosidoniaescarpments support high diversity and biomass of rocky reef fishes
Authors: Serrano Oscar , Inostroza Karina , Hyndes Glenn A. , Friedlander Alan M. , Serrano Eduard , Rae Caitlin , Ballesteros Enric 
Published: June 2023

AbstractAlthough seagrass meadows form a relatively homogenous habitat, escarpments, which form three‐dimensional structures and originate from the erosion of seagrass peat, can provide important habitat for reef fishes. Here, we compare fish assemblages and habitat structural complexity among seagrassPosidonia australisescarpments and canopies, as well as limestone reef habitats, to understand the role of seagrass escarpments as reef fish habitat in Shark Bay, Western Australia. The total number of fish species, fish biomass, and top predator biomass were significantly higher in seagrass escarpments and reef habitats than in seagrass canopies due to lower habitat structural complexity and thus becoming suitable habitats for predators and prey in the latter. Both seagrass escarpment and reef habitats host similar assemblages of top predators and carnivorous fishes, such asEpinephelus coioides,Microcanthus strigatus, andChoerodon schoenleinii, that were absent in seagrass canopies. Seagrass escarpments provide an alternative habitat for reef fishes comparable to rocky reefs, which are limited in Shark Bay. Caves and ledges within the escarpments support 13.4 Mg of fish and 3.6 Mg of top predator species of commercial interest within the Shark Bay World Heritage Site. Additional research is needed to further understand the ecological importance of seagrass escarpments in enhancing fish biomass and biodiversity, as reproduction grounds or refuge from predators, and to investigate the role of meadow edges in ecosystem function.
Maternal microbis: How kinship composes reproductive relations for a human‐bovine maternal microbiome
Authors: Howes‐Mischel Rebecca , Tracy Megan 
Published: June 2023

AbstractReading across a burgeoning scientific literature that conflates microbial dynamics between mother:child bodies with normative mothering practices, we offer a model of maternal microbis that troubles the distinctions between productive and reproductive relations. We ground this argument in a systematic analysis of the content and circulation of descriptive maternal microbiome research between 2007 and 2021 along with the proliferation of lay narratives about the maternal microbiome inspired by such research. Following this research across the species line between human and bovine bodies, we trace the gendered effects of using humans as model animals and tie current microbiome hype to a much longer history of entangling reproductive and productive labors. More than a microbial retread of a familiar story within a history of distributing reproductive labor to other bodies, our focus on the maternal microbis as a gendered model of microbial relations enables us to ask specific questions about the effects of centering microbes into models of reproductive bodies (both Homo and Bos), leading us to consider how expectations of gendered care and gendered bodies make certain paradigms possible and foreclose others.
One single‐person bicycling enhances interpersonal cooperation via increasing interpersonal neural synchronization in left frontal cortex
Authors: Li Lin , Wang Huiling , Lin Yixuan , Li Xianchun 
Published: June 2023

AbstractPrevious findings have shown a strong relationship between sports and interpersonal cooperative behavior. Physical activity is the basic form of sport. In this study, we investigated the effect of physical activity on interpersonal cooperative behavior and its inter‐brain correlates. Eighty college students were recruited and randomly divided into the experimental or control group (20 dyads per each). The experimental group performed a 30‐min of moderate intensity single‐person cycling exercise, while the control group performed a 30‐min single‐person sitting. Interpersonal cooperative behavior was measured by a Prisoner's Dilemma task before and after the intervention, while neural activities in the frontal cortex in each dyad were measured by the near‐infrared spectroscopy‐based hyperscanning approach. The results showed that the average cooperation rate and cooperation efficiency of the experimental dyads were significantly higher after the exercise intervention compared to that before intervention, but not in control group. Meanwhile, the interpersonal neural synchronization (INS) in the left frontal cortex was significantly increased after intervention only in experimental dyads. Moreover, the INS increased in left frontal cortex was positively correlated with the cooperation improvement. Taken together, these results indicate that one single‐person bicycling can improve interpersonal cooperation behavior, which may be associated with enhanced interpersonal neural synchronization in the left frontal cortex.
Hippocampal grading provides higher classification accuracy for those in the AD trajectory than hippocampal volume
Authors: Morrison Cassandra , Dadar Mahsa , Shafiee Neda , Collins D. Louis ,   for Alzheimer's Disease Neuroimaging Initiative
Published: June 2023

AbstractMuch research has focused on neurodegeneration in aging and Alzheimer's disease (AD). We developed Scoring by Nonlocal Image Patch Estimator (SNIPE), a non‐local patch‐based measure of anatomical similarity and hippocampal segmentation to measure hippocampal change. While SNIPE shows enhanced predictive power over hippocampal volume, it is unknown whether SNIPE is more strongly associated with group differences between normal controls (NC), early MCI (eMCI), late (lMCI), and AD than hippocampal volume. Alzheimer's Disease Neuroimaging Initiative older adults were included in the first analyses (N = 1666, 513 NCs, 269 eMCI, 556 lMCI, and 328 AD). Sub‐analyses investigated amyloid positive individuals (N = 834; 179 NC, 148 eMCI, 298 lMCI, and 209 AD) to determine accuracy in those on the AD trajectory. We compared SNIPE grading, SNIPE volume, and Freesurfer volume as features in seven different machine learning techniques classifying participants into their correct cohort using 10‐fold cross‐validation. The best model was then validated in the Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL). SNIPE grading provided the highest classification accuracy for all classifications in both the full and amyloid positive sample. When classifying NC:AD, SNIPE grading provided an 89% accuracy (full sample) and 87% (amyloid positive sample). Freesurfer volume provided much lower accuracies of 65% (full sample) and 46% (amyloid positive sample). In the AIBL validation cohort, SNIPE grading provided a 90% classification accuracy for NC:AD. These findings suggest SNIPE grading provides increased classification accuracy over both SNIPE and Freesurfer volume. SNIPE grading offers promise to accurately identify people with and without AD.
Children's evaluative judgements of conformers and nonconformers
Authors: Ahn Sohee , Amemiya Jamie , Heyman Gail D. 
Published: June 2023

AbstractThe present research examined children's generalisations about people based on their decisions to conform to descriptive norms. This issue was examined in South Korea, where conformity tends to be highly valued. Younger (4–6 years) and older (9–11 years) children (total N = 197) were asked to evaluate the personal qualities of conformers and nonconformers. Results showed that children in both age groups rated nonconformers more negatively than conformers in terms of moral character, intelligence, popularity, and likeability. Ratings of conformers showed minimal age‐related change. In contrast, ratings of nonconformers were more positive with age, except for popularity ratings. This work sheds light on how children use information about conformity to make specific inferences about what individuals are generally like.
Impact of 2 years of COVID‐19 pandemic on ovarian cancer treatment in IRCCS‐AUSL of Reggio Emilia
Authors: Mandato Vincenzo Dario , Torricelli Federica , Mastrofilippo Valentina , Pellegri Carlotta , Cerullo Loredana , Annunziata Gianluca , Ciarlini Gino , Pirillo Debora , Generali Matteo , D'Ippolito Giovanni , Leone Chiara , Bologna Alessandra , Gasparini Elisa , Palicelli Andrea , Gelli Maria Carolina , Silvotti Monica , Aguzzoli Lorenzo 
Published: June 2023

AbstractObjectiveTo assess compliance with the 2019 regional recommendation to centralize epithelial ovarian cancer (EOC) patients and to assess whether the COVID‐19 pandemic has affected the quality of care for EOC patients.MethodsWe compared data from EOC patients treated before the introduction of the 2019 regional recommendation (2018‐2019) with data obtained from EOC patients treated after the regional recommendation was adopted during the first 2 years of the COVID‐19 pandemic (2020‐2021). Data were retrieved from the Optimal Ovarian Cancer Pathway records. R software version 4.1.2 (the R Foundation for Statistical Computing, Vienna, Austria) was used for the statistical analysis.Results251 EOC patients were centralized. The number of EOC patients centralized increased from 2% to 49% despite the COVID‐19 pandemic. During the COVID‐19 pandemic, there was an increase in the use of neoadjuvant chemotherapy and interval debulking surgery. There was an improvement in the percentage of Stage III patients without gross residual disease following both primary and interval debulking surgery. The percentage of EOC cases discussed by the multidisciplinary tumor board (MTB) increased from 66% to 89% of cases.ConclusionDespite the COVID‐19 pandemic, centralization has increased and the quality of care has been preserved thanks to the MTB.
Sleep‐disordered breathing and pregnancy outcomes: The impact of maternal oxygen saturation
Authors: Orabona Rossana , Corda Luciano , Giordani Jordan , Bernardi Matteo , Maggi Claudia , Mazzoni Giorgia , Pedroni Leonardo , Uccelli Silvia , Zatti Sonia , Sartori Enrico , Zanardini Cristina 
Published: June 2023

AbstractObjectiveTo investigate pathological associations between sleep‐disordered breathing (SDB) and pregnancy outcomes.MethodsFrom May 2016 to September 2019, obese women during their uncomplicated singleton pregnancies underwent screening sleep questionnaires, oxygen saturation monitoring, and, in proper cases, complete overnight polysomnography. Their medical records were also recorded.ResultsIn all, 112 pregnant women were included in the study cohort; 44 showed an oxygen desaturation index ≥10, and their newborns had a significantly higher rate of congenital abnormalities and respiratory distress syndrome compared with the women with normal pulse oximetry. Stepwise multivariate regression analysis showed that basal oxygen saturation was independently associated with the occurrence of fetal growth restriction.ConclusionAmong obese pregnant women, the rate of congenital abnormalities is higher in the ones with altered pulse oximetry. Maternal basal oxygen saturation in the first trimester of pregnancy predicts fetal growth restriction independently of maternal age, ethnicity, body mass index, gravidity, and hypertensive disorders of pregnancy.
Epigenetic regulation of mitochondrial‐endoplasmic reticulum dynamics in kidney diseases
Authors: Shelke Vishwadeep , Yelgonde Vinayak , Kale Ajinath , Lech Maciej , Gaikwad Anil Bhanudas 
Published: June 2023

AbstractKidney diseases are serious health problems affecting >800 million individuals worldwide. The high number of affected individuals and the severe consequences of kidney dysfunction demand an intensified effort toward more effective prevention and treatment. The pathophysiology of kidney diseases is complex and comprises diverse organelle dysfunctions including mitochondria and endoplasmic reticulum (ER). The recent findings prove interactions between the ER membrane and nearly all cell compartments and give new insights into molecular events involved in cellular mechanisms in health and disease. Interactions between the ER and mitochondrial membranes, known as the mitochondria‐ER contacts regulate kidney physiology by interacting with each other via membrane contact sites (MCS). ER controls mitochondrial dynamics through ER stress sensor proteins or by direct communication via mitochondria‐associated ER membrane to activate signaling pathways such as apoptosis, calcium transport, and autophagy. More importantly, these organelle dynamics are found to be regulated by several epigenetic mechanisms such as DNA methylation, histone modifications, and noncoding RNAs and can be a potential therapeutic target against kidney diseases. However, a thorough understanding of the role of epigenetic regulation of organelle dynamics and their functions is not well understood. Therefore, this review will unveil the role of epigenetic mechanisms in regulating organelle dynamics during various types of kidney diseases. Moreover, we will also shed light on different stress origins in organelles leading to kidney disease. Henceforth, by understanding this we can target epigenetic mechanisms to maintain/control organelle dynamics and serve them as a novel therapeutic approach against kidney diseases.
Phylogenetic analysis and functional characterization of norcoclaurine synthase involved in benzylisoquinoline alkaloids biosynthesis in Stephania tetrandra
Authors: Li Xinyi , Li Qishuang , Jiao Xiang , Tang Hao , Cheng Yatian , Ma Ying , Cui Guanghong , Tang Jinfu , Chen Yun , Guo Juan , Huang Luqi 
Published: June 2023

AbstractBenzylisoquinoline alkaloids (BIAs) are a class of secondary metabolites that possess diverse pharmaceutical properties and are exclusively accumulated in specific plant genera. The Pictet–Spengler condensation, catalyzed by norcoclaurine synthase (NCS), represents a key enzymatic reaction in the biosynthetic pathway of BIAs. While NCS genes have been identified in several plant families such as Papaveraceae, Berberidaceae, and Ranunculaceae, no NCS genes have been reported in Menispermaceae, which is another genus known to accumulate BIAs. Here, NCSs were isolated and functionally characterized from the Menispermaceae family plant Stephania tetrandra. In vitro enzyme assay identified two functional StNCSs which could catalyze the formation of (S)‐norcoclaurine. These functionally characterized genes were then integrated into engineered yeast to enable the production of norcoclaurine. Phylogenetic analysis of the NCS enzymes revealed that the StNCSs predominantly clustered into two clades. The functional StNCSs clustered with known NCSs, highlighting the presence of a specific NCS catalytic domain. This study not only provides additional genetic components for the synthetic biology‐based production of BIAs in yeast but also contributes to the understanding of the phylogenetic relationships and structure–function relationship of NCS genes involved in the origin and production of BIAs.
Performance appraisal of microbial inoculants treating polluted surface water through bench‐scale investigation
Authors: Simon Monika , Joshi Himanshu , Hazra Moushumi 
Published: June 2023

AbstractBACKGROUNDThis study investigates the performance of microbial inoculants by exploring pollutant removal efficiency, microbial viability and substrate removal kinetics for treating polluted surface water. The morphological, elemental composition and biochemical characterization of inoculants were analyzed using field emission scanning electron microscopy with energy dispersive X‐ray spectroscopy (FESEM‐EDX) and Fourier transform infrared (FTIR) techniques. The identification of bacterial strains in polluted feed water also was performed using 16S rRNA partial sequencing. Bench‐scale efficacy of selected microbial inoculants (MI) along with control for each study was performed at variable retention times ranging from 6 to 72 h, under optimum operating conditions.RESULTSThe maximum removal (86% and 90%) of the organic load (chemical and biological oxygen demand, COD and BOD) was achieved by inoculants containing Bacillus subtilis along with other microbial species after 72 h of treatment. The microbial inoculant MI‐2 containing Paracoccus pantotrophus and Pseudomonas Putida exhibited the highest TN removal (66%) after 72 h of contact time. Adenosine triphosphate (ATP) analysis revealed that the active biomass ratio is a more precise indicator of healthy biomass instead of the conventionally used parameter MLVSS (mix liquor volatile suspended solids) in a biological treatment system, which apparently provides a significant addition to the existing knowledge base for the operational wastewater treatment plants (WTPs).CONCLUSIONIn this study, microbial inoculants were found to be frugal and viable treatment tools for the remediation of polluted surface water. Exploiting such inoculants also can overcome the inefficiencies of existing sewage treatment plants by serving as potential tools for bio‐augmenting the indigenous microbial fingerprint of aeration tank/secondary treatment systems. © 2023 Society of Chemical Industry (SCI).
CBFA2T3::GLIS2‐positive acute leukemia with RAM and mixed T/megakaryocytic phenotype
Authors: Khanlari Mahsa , Wang Lu , Bolen Christine Y , Otanez Felipe Sebastian Bautista , Furtado Larissa V. , Key Laura , Irwin Lisa , Wang Wei , Klco Jeffery M. 
Published: June 2023

AbstractHerein, we present a rare case of acute myeloid leukemia (AML) with CBFA2T3‐rearrangement and the expression of megakaryocytic and lymphoid markers, highlighting the need for a high suspicion index in differential diagnosis and applying adequate workup to avoid misdiagnosing this entity.CBFA2T3::GLIS2‐positive AML is primarily found in infants with non‐down syndrome acute megakaryoblastic leukemia (non‐DSAMKL). Flow cytometry immunophenotyping plays an important role in recognizing the unique immunophenotype of bright CD56 expression with dim/negative expression of HLA‐DR, CD38, and CD45 termed the RAM immunophenotype in this entity. Still, CBFA2T3::GLIS2‐positive acute leukemia with T/megakaryocytic markers could be misdiagnosed as T‐lymphoblastic leukemia/lymphoma, early T‐cell precursor acute lymphoblastic leukemia/lymphoma, NK lymphoblastic leukemia, AML with minimal differentiation, or AML with myelodysplasia‐related changes.