Convective cloud development during the Indian monsoon helps moisten the atmospheric environment and drive the monsoon trough northwards each year, bringing a large amount of India’s annual rainfall. Therefore, an increased understanding of how monsoon convection develops from observations will help inform model development. In this study, 139 days of India Meteorological Department Doppler weather radar data is analysed for 7 sites across India during the 2016 monsoon season. Convective cell-top heights (CTH) are objectively identified through the season, and compared with near-surface (at 2 km height) reflectivity. These variables are analysed over three time scales of variability during the monsoon: monsoon progression on a month-by-month basis, active-break periods and the diurnal cycle. We find a modal maximum in CTH around 6–8 km for all sites. Cell-averaged reflectivity increases with CTH, at first sharply, then less sharply above the freezing level. Bhopal and Mumbai exhibit lower CTH for monsoon break periods compared to active periods. A clear diurnal cycle in CTH is seen at all sites except Mumbai. For south-eastern India, the phase of the diurnal cycle depends on whether the surface is land or ocean, with the frequency of oceanic cells typically exhibiting an earlier morning peak compared to land, consistent with the diurnal cycle of precipitation. Our findings confirm that Indian monsoon convective regimes are partly regulated by the large-scale synoptic environment within which they are embedded. This demonstrates the excellent potential for weather radars to improve understanding of convection in tropical regions

Mankind's productive use of the low Earth orbit (LEO), from 400-2,000km in altitude, is at risk from increasing counts of debris objects and derelict satellites, which pose collision risks to active spacecraft. Of particular concern to space agencies and industry is the Kessler Syndrome (KS), which is the term for a hypothetical collapse scenario in which collisions between debris and satellites cause more debris, causing a destructive cascade that leaves the orbital environment unusable. In order to better understand this KS tipping point, the KESSYM model has been developed as a stochastic simulation of all the objects in the LEO. This model provides a forecast for the evolution of the orbital environment into the future, including the expected year, if any, that the KS collapse occurs. KESSYM allows for certain risks, such as war or terrorism in space, solar flares, or unconstrained exploitation of the space resources to be analyzed alongside KS mitigation measures, such as the hardening of spacecraft against debris, avoidance of collisions, removal of debris, and effective regulation. The conclusions drawn from the KESSYM simulation are that the KS is almost an inevitability within 200-250 years of today's date, but can be delayed or avoided altogether if action is taken.

The shielding effectiveness is a key index to measure the performance of electromagnetic protective materials However, the traditional shielding effectiveness testing methods exist many losses, there by the experimental data varying under different test conditions. This paper aims to provide a novel NV-center based optical high-resolution shielding performance testing method, a method that may directly provide the distribution of the electromagnetic field on the surface of the electromagnetic shielding material. This method was used to test the shielding performance of two different electromagnetic shielding materials, and comparison with the surface scan method has proved the feasibility and reliability of the optical high-resolution test method, providing a new idea for testing the effectiveness of electromagnetic shielding materials more accurately and effectively.

Energy routers based on the electronic power transformer are suitable for the AC-DC hybrid grid with multiple voltage levels, but their structures are complex. This paper proposes a novel energy router based on the multi-winding line frequency transformer. By a combination of a multi-winding line frequency transformer and power electronic devices, the proposed energy router can take advantage of the high reliability of the multi-winding line frequency transformer and the high controllability of power electronic devices. The proposed energy router is suitable for the AC-DC hybrid grid with multiple voltage levels and has the characteristic of a simple structure. The simulations and experimental results demonstrate the effectiveness of the proposed energy router.

Chlorinated aromatics and alkanes have important use value because of their flame retardancy，but they need to be monitored when used in recycled pulp. This paper report the use of palladium acetate/ Activated carbon activated by nitric acid as an online catalyst in the determination of chlorinated aromatics and chlorinated alkanes in recycled paper products with Gas Chromatography-Tandem Mass Spectrometry method, by which significantly improve the sensitivity of the method and dramatically lower the detection limits.

Rationale: Proteomic studies typically involve use of different types of softwares for annotating experimental tandem mass spectrometric data (MS/MS) and thereby simplify the process of peptide and protein identification. For such annotations, these softwares calculate the m/z values of the peptide/protein precursor and fragment ions, for which a database of protein sequences must be provided as input file. The calculated m/z values are stored as another database, which the user usually cannot view. ‘Database Creator for Protein/Peptide Mass Analysis’ (DC-PPMA) is a novel standalone software that can create custom databases and the user can view the custom database containing the calculated m/z values of precursor and fragment ions. Methods: Python language was used for implementation and the graphical user interface was built with Page/Tcl, making this tool more user-friendly and easier to analyze. DC-PPMA is freely available at https://vit.ac.in/PPMA/. Results: DC-PPMA contains three modules. Protein/peptide sequences as per user’s choice can be entered as input to the first module for creating custom database. In the second module, m/z values must be queried-in, which are searched within the custom database to identify protein/peptide sequences. The third module is suited for peptide mass fingerprinting, for which data arising from both ESI and MALDI MS can be utilized. Conclusions: Mass spectral data acquired from any proteomic approach: bottom-up, middle-down and top-down can be interrogated with DC-PPMA. A major facet of DC-PPMA is that the user can ‘view’ the custom database containing the m/z values of the precursor ions (e.g., proteolytic peptides) and the respective fragment ions (e.g., b & y ions), prior to the database search. The feature of ‘viewing’ the custom database cannot only be helpful for better understanding the search engine processes; but also, for ‘designing multiple reaction monitoring (MRM) methods’. Post-translational modifications and protein isoforms too can be analyzed.

Current inference techniques for processing multi-needle Langmuir Probe (m-NLP) data are often based on adaptations of the Orbital Motion-Limited (OML) theory which relies on several simplifying assumptions. Some of these assumptions, however, are typically not well satisfied in actual experimental conditions, thus leading to uncontrolled uncertainties in inferred plasma parameters. In order to remedy this difficulty, three-dimensional kinetic particle in cell simulations are used to construct a synthetic data set, which is used to compare and assess different m-NLP inference techniques. Using a synthetic data set, regression-based models capable of inferring electron density and satellite potentials from 4-tuples of currents collected with fixed-bias needle probes similar to those on the NorSat-1 satellite, are trained and validated. The regression techniques presented show promising results for plasma density inferences with RMS relative errors less than 20 %, and satellite potential inferences with RMS errors less than 0.2 V for potentials ranging from -6 V to -1 V. The new inference approaches presented are applied to NorSat-1 data, and compared with existing state-of-the-art inference techniques.

Blending is a promising strategy during the partial replacement of plant with animal proteins. This, however, may lead to alteration in the technofunctional properties of the resultant blends. In this study, soy, rice and pea protein concentrates (SPC, RPC and PPC, respectively) were blended with milk protein concentrate (MPC) at different ratios: 25:75, 50:50 and 25:75 and the technofunctional properties relevant to their emulsification behaviour, e.g., emulsion stability, viscosity and water and oil binding capacity, were investigated. At equivalent concentrations, the plant protein concentrates had higher apparent viscosities compared to MPC and the blends. RPC-MPC, at all ratios, had a lower oil binding capacity when compared with the SPC-MPC and PPC-MPC blends. Plant protein-MPC blends showed higher emulsion stability compared to the individual plant protein concentrates. Blending MPC with plant protein concentrates resulted in promising improvements in emulsification behaviour of relevance to different composite protein ingredient applications.

TITLE PAGEFull Title of Manuscript : A case of anaphylaxis caused by the inhalation of sheep’s milk vapors in a child with severe multi-food allergy.Authors’ Full Names : Foti Randazzese Simone, Toscano Fabio, Crisafulli Giuseppe, Galletta Francesca, Manti Sara, Caminiti Lucia.Authors’ Institutional Affiliations : Department of Human Pathology in Adult and Developmental Age “Gaetano Barresi”, University of Messina, Messina (Italy).Running Title : Adverse reactions after inhalation of food allergens.Corresponding Author : Foti Randazzese Simone, Pediatric Resident, Pediatric Unit, Department of Human Pathology in Adult and Developmental Age “Gaetano Barresi”, University of Messina, via Consolare Valeria, 1, 98121, Messina, Italy. Tel. 0902213165. E-mail:simone.foti.92@gmail.com.Word count : 1055 words (Main Text).Number of Tables and Figures : 1 table, no figures.

Biologists currently have an assortment of high-throughput sequencing techniques allowing the study of population dynamics in increasing detail. The utility of genetic estimates depends on their ability to recover meaningful approximations while filtering out noise produced by artifacts. We empirically compared the congruence of two reduced representation approaches (genotyping-by-sequencing, GBS, and whole-exome sequencing, WES) in estimating genetic diversity and population structure using SNP markers typed in small samples of five jaguar (Panthera onca) demes. Given their intrinsic properties as a targeted capture, WES allowed for a more straightforward reconstruction of loci compared to GBS, which in turn facilitated the identification of true polymorphisms across individuals. In contrast, GBS data showed a recurrent miscalling of heterozygous sites. We therefore used WES-derived metrics as a benchmark against which GBS-derived indicators were compared, varying the values of parameters for locus assembly, genotype calling and SNP filtering in the latter technique. Changes in parameterization induced measurable differences in summary statistics, both between approaches and among distinct batches of GBS data. The application of post-processing genotype filters based on mean depth of reads had major effects on the consistency between approaches. Overall, we observed that the direct empirical comparison of GBS and WES for estimating population genetic attributes from the same set of individuals provided an interesting opportunity to assess the consistency of these approaches, revealing relevant aspects that should be considered in such analyses. Our results highlight the importance of thorough data filtering in genomic approaches to obtain robust genetic diversity and differentiation estimates.

We study the suitability of an initial condition ensemble to form the conceptual basis of defining climate. We point out that the most important criterion is the uniqueness of the probability measure on which the definition relies. We first propose, in harmony with earlier work, to represent such a probability measure by the distribution of ensemble members that have converged to the probability density of the natural probability measure of the so-called snapshot or pullback attractor of the dynamics, which is time dependent in the presence of external forcing. Then we refine the proposal by taking a density that is conditional on the (possibly time-evolving) state of system components with time scales longer than the horizon of a particular study. We discuss the applicability of such a definition in the Earth system and its realistic models, and conclude that micro initialization from observations in slower system components perhaps provides the practically relevant probability density after a few decades of convergence. However, the absence of sufficient time scale separation between system components or regime transitions in slower system components might preclude uniqueness, at least in certain subsystems, and time evolution in slower system components might induce unforced climate changes, leading to the need for targeted investigations to determine the forced response. We propose an initialization scheme for studying all these issues in Earth system models.

We demonstrate the use of information theory metrics, Shannon entropy and mutual information, for measuring internal and forced variability in general circulation coastal and global ocean models. These metrics have been applied on spatially and temporally averaged data. A combined metric reliably delineates intrinsic and extrinsic variability in a wider range of circumstances than previous approaches based on variance ratios that therefore assume Gaussian distributions. Shannon entropy and mutual information manage correlated fields, apply to any distribution, and are insensitive to outliers and a change of units or scale. Different metrics are used to quantify internal vs forced variability in (1) idealized Gaussian and uniformly distributed data, (2) an initial condition ensemble of a realistic coastal ocean model (OSOM), (3) the GFDL-ESM2M climate model large ensemble. A metric based on information theory partly agrees with the traditional variance-based metric and identifies regions where non-linear correlations might exist. Mutual information and Shannon entropy are used to quantify the impact of different boundary forcings in a coastal ocean model ensemble. Information theory enables ranking the potential impacts of improving boundary and forcing conditions across multiple predicted variables with different dimensions. The climate model ensemble application shows how information theory metrics are robust even in a highly skewed probability distribution (Arctic sea surface temperature) resulting from sharply non-linear behavior (freezing point).

To analyse the endogenous connection between COVID-19 and non-communicable diseases (NCDs) in US states. I employ a panel VAR approach to investigate the endogenous interactions between deaths due to covid (COV) and NCDs in US states. The NCDs considered are respiratory (RES) and circulatory (CIR) diseases. I use Arellano–Bond’s dynamic panel equations to supply estimates for the dynamic relationship between COVID-19 and NCDs. Thereafter, I estimate the orthogonalized impulse response functions (IRFs), which help isolate the response of a variable to an orthogonal shock in another variable of interest. The results show evidence of a significant positive relationship between mortality due to COVID-19 and NCDs. Most impacts peak after two weeks, corresponding with the latent period between covid infection and mortality. Besides, I find that while a positive shock to mortality from respiratory illnesses affects that from circulatory illnesses, the reverse is not the case. Lastly, these results differ by gender and are robust to several sensitivity checks, so large deviations are unexpected. The paper summarises the findings and proffers potential policies and interventions (e.g. providing cancer scanners in supermarkets) that could reduce the reinforcing effects of COVID-19 on NCDs.

Background and Purpose: Cisplatin-induced nephrotoxicity manifests as acute kidney injury (AKI) in approximately one third of patients receiving cisplatin therapy. Current measures of AKI are inadequate in detecting AKI prior to significant renal injury, and better biomarkers are needed for early diagnosis of cisplatin-induced AKI. Experimental Approach: C57BL/6 and FVB/N mice were treated with a single intraperitoneal injection of cisplatin (15 mg kg-1) or saline. Plasma, urine, and kidney samples were collected prior to cisplatin injection and 24-, 48-, 72-, and 96-hours following cisplatin injection. Untargeted metabolomics was employed using liquid chromatography-mass spectrometry to identify early diagnostic biomarkers for cisplatin-induced AKI. Key Results: There was clear metabolic discrimination between saline and cisplatin-treated mice at all timepoints (day 1 to day 4). In total, 26 plasma, urine, and kidney metabolites were identified as exhibiting early alterations following cisplatin treatment. Several of the metabolites showing early alterations were associated with mitochondrial function and energetics, including intermediates of the tricarboxylic acid cycle, regulators of mitochondrial function and indicators of fatty acid β-oxidation dysfunction. Furthermore, several metabolites were derived from the gut microbiome. Conclusion and Implications: Our results highlight the detrimental effects of cisplatin on mitochondrial function and demonstrate potential involvement of the gut microbiome in the pathophysiology of cisplatin-induced AKI. Here we provide a panel of metabolites to guide future clinical studies of cisplatin-induced AKI and provide insight into potential mechanisms behind cisplatin nephrotoxicity.

In this paper, Comprehensive progressive damage analyses are performed to evaluate the effects of patch sizes and layups on re-starting crack growth of single-side repaired panels with central inclined cracks under high cycle fatigue loading. Complicated nonlinear damage behavior of adhesive bonding, composite patch, mixed-mode cracks and fatigue loadings require precise numerical tools to consider and analyze the coupling effects of various damages on fatigue life of such complex component. For this purpose, two user-written materials subroutines added to a commercial finite element software to capture adhesive debonding and composite patch damages under high cycle fatigue. In progressive damage analysis, high cycle fatigue cohesive zone modeling used for debonding of patch and high cycle fatigue continuum damage model used for composite patches. Practical composite patch layups and sizes are selected in huge number of models and the restarting crack growth life are predicted. The results shown that the composite plies angles attached to the cracked panels have dominant effect on restarting crack growth life. Different combinations of the same layup angles show completely different restarting crack growth lives. The obtained results show the possibility of increasing the restarting crack growth life using an appropriate composite patch layup and geometry dimensions.

A 26-year-old woman at 30 weeks of gestation referred due to PPROM. From second day after CS, the patients fever increased and Doppler sonography shows low fluid and hematoma in the uterus. Wound debridement conducted and during laparotomy the adhesions were released. The Wright-Coombs 2ME showed infection to brucellosis.

Background: Left atrial appendage occlusion (LAAO) in the treatment of atrial fibrillation (AF) has become a hot topic in clinical research in recent years. Case presentation: we report a 68-year-old female patient who was admitted for “recurrent palpitations for three years,” with an electrocardiogram finding of atrial fibrillation (Figure [1](#fig-cap-0001)). The diagnosis upon admission was: (1) arrhythmia: paroxysmal AF (CHA2DS2-VASc: 4 points, HAS-BLED: 3 points), (2) Grade 3 hypertension, and (3) carotid plaque with internal carotid artery stenosis. The patient had a history of AF for three years with poor drug treatment effect. The patient was unable to tolerate anticoagulation therapy. We gave the patient a one-stop procedure treatment of “AF radiofrequency ablation + LAAO” under the guidance of 3D printing technology. There was no recurrence of AF or paravalvular leakage at the three-month and one-year follow-ups. Conclusions: The 3D printing technology guide the one-stop operation of “AF radiofrequency ablation + LAAO” is helpful. But it whether can improve the prognosis and quality of life of patients, further multi-center research and large data statistics are required.

INTRODUCTIONThe frequency of pediatric head and neck neoplasms ranges from approximately 2-15% of all pediatric cancers1. Skull base and calvarial neoplasms, including temporal bone and orbital masses are a subset of head and neck neoplasms occupying a number of neoplastic processes and categorically encompass several imaging patterns: singular dominant mass lesions with or without metastatic disease (e.g., rhabdomyosarcoma (RMS), chordoma), singular or multifocal metastatic disease (e.g., neuroblastoma), and multifocal disease due to systemic malignancy (e.g., leukemia, lymphoma, histiocytosis, etc.).While pathologies certainly vary between pediatric and adult patients, there remains significant overlap. As such, imaging protocols for skull base and calvarial neoplasms are similar in their general construct. However, optimized pediatric-specific protocols remain a must, as a retrofitted adult head and neck protocol is often ill equipped to offer quality, efficient and safe imaging (e.g., limiting radiation exposure) of the size-variable infant and pediatric patient. Moreover, sedation or general anesthesia is often required in the pediatric population in order to minimize motion artifact. Thus, optimization of imaging acquisition time is a very important technical consideration because it may decrease the necessity and duration of sedation/anesthesia and their potential risks in this vulnerable population. Standardized protocols for anatomic sub sites of the head and neck offer significant benefit in individual patient follow up on a local scale, and, on a broader scale, allow for collaborative understanding of imaging pathologies and innovative or benchmarked standardized treatment response assessment across institutions.In an effort to standardize protocols, this article offers minimum, pediatric specific anatomy-based initial and follow up imaging guidelines for pediatric malignancies of the orbits, calvarium, skull base and temporal bone. This manuscript was funded in part by the National Clinical Trials Network Operations Center Grant U10CA180886. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

The challenge of introducing new technologies into established industries is not a problem unique to the biopharmaceutical industry. However, it may be critical to the long-term competitiveness of individual manufacturers and, more importantly, the ability to deliver therapies to patients. This is especially true for new treatment modalities including cell and gene therapies. We review several barriers to technology adoption which have been identified in various public forums including business, regulatory, technology, and people-driven concerns. We also summarize suitable enablers addressing one or more of these barriers along with some suggestions for developing additional synergies.

D-Allulose has many health-benefiting properties, physiological functions, and sustainable applications in food, pharmaceutical, and nutrition industries. The aldol reaction based route is a very promising alternative to Izumoring strategy in D-allulose production. Remarkable studies have been reported in this field, but still suffer from by-product formation and costly purified enzyme involvement. In the present study, we explored the glycerol assimilation, alditol oxidase, alcohol dehydrogenase, aldolase, and dephosphorylation pathways, and modularly designed, assembled, and optimized the D-allulose synthetic cascade in Escherichia coli envelop. We achieved an efficient whole-cell catalyst that produces only D-allulose from cheap glycerol feedstock, eliminating the involvement of purified enzymes. Detailed process optimization improved the D-allulose titer by 1500.00%. Finally, the production was validated in 3-L scale using a 5-L fermenter, and 5.67 g/L D-allulose was produced with a molar yield of 31.43%. This study provided a facile approach to produce D-allulose from glycerol feedstock.

Background: Long-term oral dasatinib administration can induce pulmonary arterial hypertension (PAH) in pediatric patients with Philadelphia chromosome-positive (Ph +) acute lymphoblastic leukemia (ALL). We describe the findings in two pediatric cases involving Ph + ALL patients who developed cardiovascular events such as PAH after dasatinib treatment, and present a review of the related literature. Case presentation: Two pediatric patients diagnosed with B-cell ALL ( BCR-ABL P190 fusion gene positive) received conventional chemotherapy and imatinib simultaneously, which was then changed to dasatinib because of a partial response. The two patients developed PAH after 18 months and 6 years of dasatinib therapy. All signs and symptoms improved after immediate discontinuation of dasatinib and symptomatic treatment. Conclusions: Pediatric Ph + ALL patients receiving dasatinib should be carefully monitored for serious cardiopulmonary and vascular events such as PAH. Development of adverse reactions should be followed by immediate and permanent discontinuation of oral dasatinib. Dynamic monitoring by echocardiography is recommended when administering dasatinib for maintenance therapy.

In this letter, the operating mechanism of proposed bandstop filters with asymmetric multiple-mode resonator loaded with tree-shape branches is introduced. Based on the design procedure, centre frequencies of the proposed bandstop filters can be controlled due to the designed degree of freedom. Meanwhile, the proposed BSFs feature compact sizes and sharp roll-off skirts for transition bands. To validate the design and analysis, a prototype filter has been fabricated with six stopbands centered at 1.91/2.38/3.54/5.19/ 5.79/6.85 GHz. The measured results of the fabricated filter agrees well with the simulation, which shows that the proposed structure is a good candidate for multi-band BSF designs and validates the proposed design flow well.

Time to move on from the hCG hypothesis regarding nausea and vomiting of pregnancy and hyperemesis gravidarumMarlena S. Fejzo, PhDKeck School of Medicine, University of Southern California, Department of Maternal-FetalMedicine, Los Angeles, CA 90033, United StatesThank you for your letter1 highlighting our study that implicates GDF15 and does not support a direct causal role for hCG in Hyperemesis Gravidarum (HG).2 Both GDF15 and hCG are expressed in blastocysts and increase in the 1st trimester,2 so any association between the two hormones in early pregnancy is not surprising and does not imply one controls expression of the other. While it is possible hCG plays a secondary role contributing to GDF15 levels, it is unlikely to be important for HG for the following reasons:From Deruelle and Tranchant‘s letter,1 “nausea and vomiting are not common side-effects of hCG,” but are for GDF15.Circulating hCG reaches its peak at 9-10 weeks,3 while GDF15 levels and HG symptoms do not.4While the Petry et al. study mentioned by Deruelle and Tranchant shows GDF15 and hCG concentrations correlate, they failed to mention Petry also found that only GDF15 levels, and not hCG levels correlated with maternal antiemetic use and second trimester vomiting. Similarly, our study comparing GDF15 and hCG levels in pregnant patients hospitalized with HG compared to healthy pregnant controls also found an association with GDF15 levels, but not hCG.4At least 14 studies, one including 4,372 pregnancies found no association between hCG and HG.4 While other studies find an association, continuing to spend limited resources attempting to prove an association, or a secondary relationship, while interesting, is unlikely to provide any clinically relevant finding regarding hCG and HG.We recently presented a multi-ancestry meta-analysis of 7,197 HG cases and 178,953 controls that confirmed GDF15 as the greatest genetic risk factor, but also replicated associations with placental genes insulin-like growth factor-binding protein 7 (IGFBP7 ) and progesterone receptor (PGR ).5 Therefore, resources would be better spent determining whether IGFBP7 and PGR alter GDF15 levels, and if not, elucidating their etiological role.Both GDF15 and hCG are present in pregnancy directly because of the placental genes that code for them, and yet while the GDF15gene was the most significant locus in 4 individual GWASes,5 none identified any association with genes encoding hCG. If hCG plays a secondary role in HG through upregulating GDF15, genetic variation causing higher levels or overactive hCG should show up in larger GWASes -so far it has not. The theory that hCG causes NVP and HG was a good one, and the lack of a genetic association was surprising. But the fascinating association with the nausea and vomiting hormone GDF15, a hormone highly expressed by the placenta, and the discovery of a mutation in GDF15resulting in > 10-fold increased risk for HG, strongly implicates GDF15 as a causal factor.2 This discovery leads to a potentially clinically relevant pathway for treatment of HG. Drugs that disrupt this pathway are currently in clinical trials to treat nausea and vomiting associated with cancer, and if safe in pregnancy, may be a game changer for HG. It is time to move on from hCG and focus on GDF15.Deruelle and Tranchant‘s letter, in press.Fejzo, M. S., MacGibbon, K. W., First, O., Quan, C., & Mullin, P. M. (2022). Whole-exome sequencing uncovers new variants in GDF15 associated with hyperemesis gravidarum. BJOG : an international journal of obstetrics and gynaecology , 129 (11), 1845–1852. https://doi.org/10.1111/1471-0528.17129Rull, K., & Laan, M. (2005). Expression of beta-subunit of HCG genes during normal and failed pregnancy. Human reproduction (Oxford, England) , 20 (12), 3360–3368. https://doi.org/10.1093/humrep/dei261Fejzo, M. S., Trovik, J., Grooten, I. J., Sridharan, K., Roseboom, T. J., Vikanes, Å., Painter, R. C., & Mullin, P. M. (2019). Nausea and vomiting of pregnancy and hyperemesis gravidarum. Nature reviews. Disease primers , 5 (1), 62. https://doi.org/10.1038/s41572-019-0110-3Fejzo M., Mulin P., Pujol Gualdo N., Laisk T., E. Biobank Research Team, MacGibbon K.W., Wang X., Mancuso N. (2022). Large-scale genome-wide association study meta-analysis of Hyperemesis Gravidarum confirms the nausea and vomiting hormonegene GDF15 is the greatest genetic risk factor and identifies additional risk loci. ASHG, Los Angeles, CA.

Manuscript title: Recurrent Massive Perivillous Fibrin Deposition Treated with Aspirin and Enoxaparin: A Case Report