bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non‐surgical extirpation of a non‐infectious expanding tricuspid valve mass by percutaneous aspiration thrombectomy
Authors: Asllanaj Blerina , Urzua Alexander , Dota Anthony , Levisman Jeffrey 
Published: October 2022

AbstractMarantic endocarditis refers to a noninfectious lesion, usually in the aortic and mitral valves, that is most commonly seen in advanced malignancy and systemic lupus erythematosus. Inflammatory conditions, including antiphospholipid syndrome (APS), are a rare etiology making up less than 20% of reported cases. The condition is thought to be due to a hypercoagulable state and found postmortem with rates in autopsy series ranging from 0.9% to 1.6%. In comparison to infective endocarditis, marantic endocarditis has a greater tendency for valve vegetations to embolize. Common treatment modalities include anticoagulation or valve replacement. Although percutaneous aspiration thrombectomy of right‐sided heart chamber thrombi exists, there are limited reports demonstrating its use with regards to treatment of right‐sided endocarditis. We present the case of an older male with a history of Factor V Leiden and APS who was admitted due to a rapidly expanding mass on the tricuspid valve (TV). Despite serial blood cultures being negative, the patient received adequate antibiotic therapy for more than 4 weeks. Transthoracic echocardiogram showed an enlarged TV vegetation with an increased diameter from 10 to 30 mm over 6 weeks. Due to the patient's high operative risk and concern for embolization complications, a multidisciplinary decision was made to perform percutaneous aspiration thrombectomy of the TV vegetation. Subsequent biopsy of the lesion confirmed it was noninfectious and nonmalignant. Thus, the patient was started on systemic anticoagulation for prevention of thromboembolic events.
An unusual case of Dyke–Davidoff–Masson syndrome revealed by status epilepticus in a Malian patient
Authors: Djimdé Samba O. , Yalcouyé Abdoulaye , Koïta Abdou , Samir Hassana , Kebkiba Pofinet , Gueli Chrystelle Awovi , Maïga Alassane B. , Sissoko Adama S. , Landouré Guida 
Published: October 2022

AbstractThe Duke–Davidoff–Masson syndrome (DDMS) is a rare neurological condition with unknown prevalence, globally. To date, <100 cases have been reported worldwide. We report the case of an 18‐year‐old patient admitted for status epilepticus seizure, and who presented a right hemiparesis, body asymmetry, joints ankylosis, and mental retardation. Brain CT‐scan revealed left hemisphere atrophy, skull bone thickening, and hyperpneumatization of the frontal sinuses; all consistent with DDMS. Seizures improved remarkably on Levetiracetam and Valproate. This is the first report of an unusual DDMS in Mali, and the diagnosis delay highlights the challenges for the management of these diseases in resource‐limited settings.
Quadrivalvular nonbacterial thrombotic endocarditis in a patient with clear cell cervical cancer
Authors: Gabelmann Valentin , Grabs Felix , Diestelmeier Simon , Heindl Felix , Vosseler Markus , Münzel Thomas , Sagoschen Ingo , Wild Johannes 
Published: October 2022

AbstractNonbacterial thrombotic endocarditis (NBTE) is a rare finding, which is mostly associated with malignant diseases leading to hypercoagulability. We report the case of a severe quadruple valve nonbacterial thrombotic endocarditis in a patient with clear cell cervical cancer.
Acute post‐traumatic dermoid peritonitis: A rare entity
Authors: Fendri Sami , Rejab Haitham , Trigui Ayman , Abid Bassem , Majdoub Youssef , Bouzid Ahmed , Fourati Kais , Boujelbene Salah 
Published: October 2022

AbstractRupture of ovarian dermoid‐cyst is rare case. We report the case of a woman admitted for acute post‐traumatic abdominal pain due to ruptured ovarian cyst. The patient was operated and we found a very abundant peritoneal effusion with left ovarian cyst which was broken. we performed a left adnexectomy.
A rare soft tissue tumor of the big toe: Superficial acral fibromyxoma
Authors: Limaiem Faten , Teborbi Anis 
Published: October 2022

AbstractSuperficial acral fibromyxoma (SAF) is a rare and benign soft tissue tumor that has a predilection to develop in acral sites. Its treatment is surgical excision. Follow‐up is recommended due to the risk of recurrence. The purpose of this case is to raise awareness of this recently described neoplasm.
Preparation of Shaped Binder‐Free SSZ‐13 Zeolite and Its Application in CO2 Adsorption and Catalysis
Authors: Jiang Yulin , Zhou Wei , He Ning , Yan Siyang , Chen Shaoyun , Liu Jiaxu 
Published: October 2022

AbstractSSZ‐13, small‐pore zeolite with chabazite (CHA) topology, exhibits outstanding performance in gas adsorption‐separation and catalysis. However, most of the studies on SSZ‐13 zeolite are limited to the powder form. In practical application, the SSZ‐13 zeolite should be shaped with a certain amount of inert binder into technical form resulting in reduced performance. Herein, shaped binder‐free SSZ‐13 zeolite was prepared by treating the extruded SSZ‐13/SiO2 sample with amantadine solution under hydrothermal conditions, to crystallize the SiO2 binder into the zeolite phase. The characterization and DFT calculation results point out that the recrystallization of SiO2 binder in shaped SSZ‐13 into zeolite crystal could improve the physical and chemical properties. Enhanced CO2 adsorption capacity and catalysis performance in CO2‐assisted oxidative dehydrogenation of ethane and propane were also found on the shaped binder‐free SSZ‐13 zeolite.
Pareto Optimization of Low‐Density Polyethylene in a Tubular Reactor Using a Hybrid Strategy
Authors: Rohman Fakhrony Sholahudin , Zahan Khairul Azly , Muhammad Dinie , Murat Muhamad Nazri 
Published: October 2022

AbstractMulti‐objective optimization (MOO) to produce low‐density polyethylene (LDPE) in a tubular reactor is performed for three different purposes, namely, maximizing the monomer exchange rate, lowering operational costs, and increasing the productivity. The ASPEN simulator is used to resolve optimization problems. Here, MOO of particle swamp optimization (MOPSO), non‐dominated sorting genetic algorithm (NSGA‐II), and a hybrid strategy of NSGA II‐MOPSO are employed as a model‐based optimization for LDPE production in a tubular reactor. The results demonstrated that the hybrid strategy of NSGA II‐MOPSO is the most effective MOO strategy. Using the hybrid strategy, the discovered solution set provides the utmost precision and diversity along the Pareto front.
Hijacking the Peptidoglycan Recycling Pathway of Escherichia coli to Produce Muropeptides
Authors: Rousseau Antoine , Michaud Julie , Pradeau Stéphanie , Armand Sylvie , Cottaz Sylvain , Richard Emeline , Fort Sébastien 
Published: October 2022

AbstractSoluble fragments of peptidoglycan called muropeptides are released from the cell wall of bacteria as part of their metabolism or as a result of biological stresses. These compounds trigger immune responses in mammals and plants. In bacteria, they play a major role in the induction of antibiotic resistance. The development of efficient methods to produce muropeptides is, therefore, desirable both to address their mechanism of action and to design new antibacterial and immunostimulant agents. Herein, we engineered the peptidoglycan recycling pathway of Escherichia coli to produce N‐acetyl‐β‐D‐glucosaminyl‐(1→4)‐1,6‐anhydro‐N‐acetyl‐β‐D‐muramic acid (GlcNAc‐anhMurNAc), a common precursor of Gram‐negative and Gram‐positive muropeptides. Inactivation of the hexosaminidase nagZ gene allowed the efficient production of this key disaccharide, providing access to Gram‐positive muropeptides through subsequent chemical peptide conjugation. E. coli strains deficient in both NagZ hexosaminidase and amidase activities further enabled the in vivo production of Gram‐negative muropeptides containing meso‐diaminopimelic acid, a rarely available amino acid.
Development of green‐colour‐emitting pyrotechnics as a core for 3D temperature imaging sensors inside coal boilers
Authors: Kanitkar Swarom , Zhou Yan , Haynes Daniel , Sabolsky Edward M. , Chorpening Benjamin 
Published: October 2022

AbstractEfficiency in the control operation of the boilers for coal and coal with biomass can be further improved if the flue gas temperature distribution can be better characterized. This is very difficult in these harsh environmental systems, where spatially resolved measurements are nearly impossible with solid‐state sensors. In this work, we evaluate the development of pyrotechnic compounds that would serve as the basis for a novel optical mapping of the temperature inside coal boilers. For this purpose, various green‐colour‐emitting pyrotechnics using BaCl2 · 2H2O and Ba(NO3)2 as the green light source were prepared, as this colour offers a distinct signal from the combustion‐based background in the boiler. These pyrotechnics were characterized using thermogravimetric analysis (TGA) and X‐ray diffraction (XRD) and tested using a flat‐flame burner. Furthermore, the composition was varied to evaluate the effect of different metal fuels such as Sn, Co, and Mg, as well as various binders such as ethylcellulose, shellac, parlon, and PVC on green light emission. The emission intensity and the apparent ignition temperature were strongly dependent on the metal type, with Mg showing higher intensities. On the other hand, the effect of the binder showed that the ignition behaviour, emission intensity, and spectral purity were influenced by the nature and exothermicity of the binder. The addition of other potential green light‐producing materials, such as boric acid, increased the intensity of emission by 17% for a BaCl2 · 2H2O‐based composition. This study identified prospective compositions with intense and bright green‐colour emissions that have high spectral purities.
Artificial and Semi‐artificial Photosynthesis (AP and SAP) Systems Based on Metal‐Organic Frameworks
Authors: Mo Guanglai , Wang Qiao , Lu Wanyue , Wang Chen , Li Peng 
Published: October 2022

Comprehensive SummaryRecently, artificial and semi‐artificial photosynthesis have attracted extensive attentions in addressing the crisis of energy from fossil fuels and reducing excessive CO2 emission. Metal‐organic frameworks (MOFs) have been considered as ideal platforms for constructing artificial photosynthesis systems due to their unique properties like large specific surface area, high porosity and diverse framework topology, and tunable functionalities. This review discussed the characteristics, superiorities and challenges of MOF‐based photocatalysts, and detailed summarization of several common design strategies for MOF‐based artificial systems, including i) enhancement of light absorption, ii) acceleration of the charge separation and transfer, and iii) introduction of additional active units. Particularly, we give examples showing the applications of MOF‐based photocatalysts, where the mechanisms of superior photocatalytic activity and selectivity are also analyzed, thereby providing theoretical guidance for rational design of MOF‐based photocatalysts. Finally, the challenges and future research directions of MOF‐based photocatalysts are prospected.
A novel fuzzy based deep neural network for rain fall prediction using cloud images
Authors: Manoj Stanislaus Oswalt , Harshavardhanan Pon , Victor Akila , Arumugam Sajeev Ram 
Published: October 2022

SummaryThe most challenging aspect of weather forecasting is predicting rainfall. In contrast, timely and precise rainfall forecasting is immensely useful in developing effective security measures for active infrastructure projects, logistics, agricultural activities, air transport operations, and flood scenarios. Artificial intelligence has been established to predict rain precipitation, but very little research has been conducted on images than time‐series data to predict rainfall. However, the accuracy of the prediction model utilizing pictures is lower when compared to time series data. Thus a novel fuzzy based deep neural network (NFDNN) model was created to increase rainfall prediction performance. Initially, our research utilized input cloud images, in which the fuzzy wavelet incorporated with neural networks is utilized to identify clouds in the sky. Second, the types of clouds are determined by a fuzzy deep neural networks cloud classifier in which the adaptive fuzzy sparse representation is used. Then, the density‐based spatial clustering for applications containing noise clustering method was used to detect rainy clouds by evaluating the cloud's color and density from the fuzzy deep neural network cloud classifier. Finally, rainfall was predicted using information such as cloud categorization, appearance, and height obtained from cloud position and cloud types. As a result, the proposed NFDNN model gives a better prediction result than the existing methods.
Mechanochemical Preparation of Edge‐Selectively justify Hydroxylated Graphene Nanosheets Using Persulfate via a Sulfate Radical‐Mediated Process
Authors: Huang Cuiyu , Lin Jin , Tang Heqing , Wang Qin , Majima Tetsuro , Wang Nan , Luo Zhihong , Zhu Lihua 
Published: October 2022

AbstractThe production of water‐dispersed graphene with low defects remains a challenge. The dry ball milling of graphite with additives produces edge‐selectively functionalized graphene. However, the “inert” additives require a long milling time and cause inevitable in‐plane defects. Here, the mechanochemical reaction of graphite with persulfate solved the above drawback and produced edge‐selectively hydroxylated graphene (EHG) nanosheets through a 2 h ball‐milling and a subsequent 0.5 h sonication. The mechanochemical cleavage of persulfate yielded SO4⋅− to spontaneously oxidize graphite to form the carbon radical cations selectively at edges, followed by hydroxylation with water of moisture. Because the O−O bond dissociation energy of persulfate is 20 % of the graphitic C−C bond, the rather low milling energy allowed the hydroxylation of graphite at edges with nearly no in‐plane defects. The obtained EHG showed high water‐dispersibility and excellent photothermal and electrochemical properties, thereby opening up a new door to fabricate graphene‐based composites.
Network analysis studies in patients with eating disorders: A systematic review and methodological quality assessment
Authors: Tomei Giuliano , Pieroni Maria Francesca , Tomba Elena 
Published: October 2022

AbstractIntroductionNetwork psychometrics has been enthusiastically embraced by researchers studying eating disorders (ED), but a rigorous evaluation of the methodological quality of works is still missing. This systematic review aims to assess the methodological quality of cross‐sectional network analysis (NA) studies conducted on ED clinical populations.MethodsPRISMA and PICOS criteria were used to retrieve NA studies on ED. Methodological quality was evaluated based on five criteria: variable‐selection procedure, network estimation method, stability checks, topological overlap checks, and handling of missing data.ResultsThirty‐three cross‐sectional NA studies were included. Most studies focused on populations that were female, white and, with an anorexia nervosa (AN) diagnosis. Depending on how many criteria were satisfied, 27.3% of studies (n = 9) were strictly adherent, 30.3% (n = 10) moderately adherent, 33.3% (n = 11) sufficiently adherent, and 9.1% (n = 3) poorly adherent. Missing topological overlap checks and not reporting missing data represented most unreported criteria, lacking, respectively, in 63.6% and 48.5% of studies.ConclusionsAlmost all reviewed cross‐sectional NA studies on ED report those methodological procedures (variable‐selection procedure, network estimation method, stability checks) necessary for a network study to provide reliable results. Nonetheless these minimum reporting data require further improvement. Moreover, elements closely related to the validity of an NA study (controls for topological overlap and management of missing data) are lacking in most studies. Recommendations to overcome such methodological weaknesses in future NA studies on ED are discussed together with the need to conduct NA studies with longitudinal design, to address diversity issues in study samples and heterogeneity of assessment tools.Public SignificanceThe present work aims to evaluate the quality of ED NA studies to support applications of this approach in ED research. Results show that most studies adopted basic procedures to produce reliable results; however, other important procedures linked to NA study validity were mostly neglected. Network methodology in ED is extremely promising, but future studies should consistently include topological overlap control procedures and provide information on missing data.
Linking animal migration and ecosystem processes: Data‐driven simulation of propagule dispersal by migratory herbivores
Authors: Somveille Marius , Ellis‐Soto Diego 
Published: October 2022

Abstract

Animal migration is a key process underlying active subsidies and species dispersal over long distances, which affects the connectivity and functioning of ecosystems. Despite much research describing patterns of where animals migrate, we still lack a framework for quantifying and predicting how animal migration affects ecosystem processes. In this study, we aim to integrate animal movement behavior and ecosystem functioning by developing a predictive modeling framework that can inform ecosystem management and conservation.

We propose a framework to model individual‐level migration trajectories between populations' seasonal ranges as well as the resulting dispersal and fate of propagules carried by the migratory animals, which can be calibrated using empirical data at every step of the modeling process. As a case study, we applied our framework to model the spread of guava seeds, Psidium guajava, by a population of migratory Galapagos tortoises, Chelonoidis porteri, across Santa Cruz Island. Galapagos tortoises are large herbivores that transport seeds and nutrients across the island, while Guava is one of the most problematic invasive species in the Galapagos archipelago.

Our model can predict the pattern of spread of guava seeds alongside tortoises' downslope migration range, and it identified areas most likely to see establishment success. Our results show that Galapagos tortoises' seed dispersal may particularly contribute to guava range expansion on Santa Cruz Island, due to both long gut retention time and tortoise's long‐distance migration across vegetation zones. In particular, we predict that tortoises are dispersing a significant amount of guava seeds into the Galapagos National Park, which has important consequences for the native flora.

The flexibility and modularity of our framework allow for the integration of multiple data sources. It also allows for a wide range of applications to investigate how migratory animals affect ecosystem processes, including propagule dispersal but also other processes such as nutrient transport across ecosystems. Our framework is also a valuable tool for predicting how animal‐mediated propagule dispersal can be affected by environmental change. These different applications can have important conservation implications for the management of ecosystems that include migratory animals.
Snowtography quantifies effects of forest cover on net water input to soil at sites with ephemeral or stable seasonal snowpack in Arizona, USA
Authors: Dwivedi Ravindra , Biederman Joel A. , Broxton Patrick D. , Lee Kangsan , van Leeuwen Willem J. D. 
Published: October 2022

AbstractForested, snow‐dominated watersheds provide a range of ecosystem services including water supply, carbon sequestration, habitat and recreation. While hydrologic partitioning has been well‐studied in watersheds with stable seasonal snowpack, less is known about watersheds with ephemeral snowpack. Furthermore, drought‐related disturbances and/or management practices are altering vegetation cover in many forests, with unknown and potentially different, consequences for stable seasonal versus ephemeral snowpacks. This study quantifies net water input (NWI) to soil for two sites with contrasting stable seasonal and ephemeral snowpacks, respectively, for three water years in Arizona, USA. Observations include a network of automated cameras and graduated snow stakes (snowtography) deployed across gradients of forest structure, airborne lidar maps of topography and forests and SNOTEL station records. Given the importance of mixed‐phase precipitation in ephemeral snowpack watersheds, an algorithm is developed to distinguish among snowfall and rainfall that does/does not contribute to snowpack mass. Finally, existing canopy interception and snowpack models are used to estimate how NWI varies with canopy cover. At the ephemeral snowpack site, increasing canopy cover reduces NWI amount and advances its seasonal timing less strongly than at the stable seasonal snowpack site. Interestingly, canopy reduces NWI duration at the ephemeral site but prolongs it at the stable seasonal snowpack site. These effects are more important in a cool/wet and average year than a warm/dry year. Understanding differences between canopy impacts on amount, timing and duration of NWI for areas with ephemeral versus stable seasonal snowpack is increasingly important as the number of watersheds with ephemeral snowpack grows.
Riverine fish density, predator–prey interactions, and their relationships with artificial light at night
Authors: Nelson T. Reid , Michel Cyril J. , Gary Meagan P. , Lehman Brendan M. , Demetras Nicholas J. , Dudley Peter N. , Hammen Jeremy J. , Horn Michael J. 
Published: October 2022

AbstractArtificial light at night (ALAN) has emerged as a prevalent anthropogenic stressor in many aquatic ecosystems impacting a wide range of taxa and ecological processes. In fishes, ALAN attracts both predators and prey, potentially resulting in increased predation mortality and sublethal impacts. Increased predation mortality is especially problematic in anadromous fishes, given that many populations are diminished and out‐migrating juveniles must transit illuminated waterways. Additionally, ALAN management is complex, because lighting benefits human safety, economies, and recreational pursuits. The Sundial Bridge (Redding, CA) is an iconic illuminated structure that spans a section of the little remaining spawning habitat of the endangered winter‐run Chinook Salmon. It was hypothesized that bridge ALAN increased Rainbow Trout predation of winter‐run fry, and a lighting management plan was implemented. However, ALAN impacts on this predator–prey interaction and species‐specific responses were unknown. Therefore, we used tethered salmonid fry and ARIS sonar cameras to determine whether variable ALAN treatments (0%, 25%, 50%, and 100% intensity) altered Rainbow Trout density (RTD) and fry predation risk, while investigating the temporal relationships of RTD with ALAN. ALAN significantly increased RTD on river right when any amount of ALAN was present, potentially leading to competition and fitness consequences; RTD did not change significantly in response to ALAN on river left. Although RTD generally increased in response to ALAN, salmonid fry predation was almost nonexistent. Therefore, while ALAN may decrease out‐migrant survival in other waterways, there was no evidence at our study site. Furthermore, the discrepancies between riverbanks demonstrate the complexity of ALAN and how it interacts with other environmental parameters potentially providing optimal foraging habitat. The Rainbow Trout attraction to ALAN, which occurred immediately with diminishing ambient light, indicates that complete ALAN removal may be necessary to mitigate ecological consequences of ALAN. When removal is unrealistic, ALAN should be diminished as early in the night as possible to minimize aquatic ecosystem impacts, while maintaining benefits for human populations.