Miracle-dz/UniFAR-FTUs huggingface dataset:
MANAGEMENT OF HELLP SYNDROME BEFORE DELIVERY: A SYSTEMATIC REVIEW

Background: HELLP syndrome, named for 3 features of the disease (hemolysis, elevated liver enzyme levels, and low platelet levels), is a life-threatening condition that can potentially complicate pregnancy. HELLP was once known as edema-proteinuria-hypertension gestosis type B in the early 20th century and was later renamed in 1982 by Louis Weinstein. The aim: This study aims to show management of HELLP syndrome before delivery. Methods: By comparing itself to the standards set by the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2020, this study was able to show that it met all of the requirements. So, the experts were able to make sure that the study was as up-to-date as it was possible to be. For this search approach, publications that came out between 2013 and 2023 were taken into account. Several different online reference sources, like Pubmed and SagePub, were used to do this. It was decided not to take into account review pieces, works that had already been published, or works that were only half done. Result: In the PubMed database, the results of our search on SagePub brought up 110 articles. The results of the search conducted for the last year of 2013 yielded a total 23 articles for PubMed and 75 articles for SagePub. The result from title screening, a total 8 articles for PubMed and 28 articles for SagePub. In the end, we compiled a total of 10 papers. We included five research that met the criteria. Conclusion: HELLP syndrome is an important complications in pregnancy which increases maternal and fetal mortality. This disease usually remits with supportive treatment which includes prescription of corticosteroid, magnesium sulfate, stabilization of mother and pregnancy termination. Plasmapheresis is a treatment of choice which improves clinical outcomes in complicated cases.
Decomposing inequality `at work': Cross-country evidence from EU-SILC

We propose a structural model to estimate inequality of opportunity (IOp) among workers and to distinguish two different sources of inequality: (i) inequality in the labour attachment and (ii) inequality in the remuneration of each working hour. Considering working hours as a measure of effort, our model can also be conceived as an attempt of disentangling the direct from the indirect contribution of circumstances to IOp. We estimate a system of seemingly unrelated regression equations and we use an original identification strategy based on a local market condition variable acting as exclusion restriction. By using data from the 2011 wave of the EU-SILC data base, we find in general a strong positive direct effect and a negative indirect effect of circumstances on overall IOp. Moreover, we are able to identify three cluster of countries: a first cluster includes continental countries (Italy, Spain, France) and Sweden, which show a low degree of IOp. A second cluster shows ``moderate'' levels of IOp and includes Finland and United Kingdom. A third cluster of countries shows the highest levels of IOp and includes all eastern countries.
Multi-Omics Analysis Reveals Intricate Gene Networks Involved in Female Development in Melon

Sexual differentiation is an important developmental phenomenon in cucurbits that directly affects fruit yield. The natural existence of multiple flower types in melon offers an inclusive structure for studying the molecular basis of sexual differentiation. The current study aimed to identify and characterize the molecular network involved in sex determination and female development in melon. Male and female pools separated by the F2 segregated generation were used for sequencing. The comparative multi-omics data revealed 551 DAPs and 594 DEGs involved in multiple pathways of melon growth and development, and based on functional annotation and enrichment analysis, we summarized four biological process modules, including ethylene biosynthesis, flower organ development, plant hormone signaling, and ubiquitinated protein metabolism, that are related to female development. Furthermore, the detailed analysis of the female developmental regulatory pathway model of ethylene biosynthesis, signal transduction, and target gene regulation identified some important candidates that might have a crucial role in female development. Two CMTs ((cytosine-5)-methyltransferase), one AdoHS (adenosylhomocysteinase), four ACSs (1-aminocyclopropane-1-carboxylic acid synthase), three ACOs (ACC oxidase), two ARFs (auxin response factor), four ARPs (auxin-responsive protein), and six ERFs (Ethylene responsive factor) were identified based on various female developmental regulatory models. Our data offer new and valuable insights into female development and hold the potential to offer a deeper comprehension of sex differentiation mechanisms in melon.
Blockchain-Based Dynamic Time-Encapsulated Data Auditing for Outsourcing Storage

Outsourcing storage has emerged as an effective solution to manage the increasing volume of data. With the popularity of pay-as-you-go payment models in outsourcing storage, data auditing schemes that prioritize timeliness can be valuable evidence for elastic bill settlement. Unfortunately, existing data auditing schemes do not sufficiently consider timeliness during auditing. Furthermore, practical data auditing schemes should have the capability to check the integrity of scalable data. In this paper, we propose a blockchain-based dynamic data auditing scheme with strong timeliness to ensure that data stored in outsourcing storage systems remain intact. Our scheme encapsulates timestamps into homomorphic verifiable tags to simultaneously check data integrity and timestamp validity. To achieve dynamicity, we utilize the Merkle hash tree to store the tags, allowing for block-level dynamic operations. Additionally, by leveraging the transparency, non-repudiation, and tamper resistance of blockchain technology, we design a blockchain-based data auditing framework to prevent malicious behavior from all entities. We then formally prove the soundness and privacy of our scheme. Finally, we conduct theoretical analysis and experimental evaluation to demonstrate that the performance of our scheme is of acceptable efficiency to existing works in terms of computation cost, communication overhead, and storage overhead.
Interpolation and multiple attenuation with migration operators

A hyperbolic Radon transform (RT) can be applied with success to attenuate or interpolate hyperbolic events in seismic data. However, this method fails when the hyperbolic events have apexes located at nonzero offset positions. A different RT operator is required for these cases, an operator that scans for hyperbolas with apexes centered at any offset. This procedure defines an extension of the standard hyperbolic RT with hyperbolic basis functions located at every point of the data gather. The mathematical description of such an operator is basically similar to a kinematic poststack time-migration equation, with the horizontal coordinate being not midpoint but offset. In this paper, this transformation is implemented by using a least-squares conjugate gradient algorithm with a sparseness constraint. Two different operators are considered, one in the time domain and the other in the frequency-wavenumber domain (Stolt operator). The sparseness constraint in the time-offset domain is essential for resampling and for interpolation. The frequency-wavenumber domain operator is very efficient, not much more expensive in computation time than a sparse parabolic RT, and much faster than a standard hyperbolic RT. Examples of resampling, interpolation, and coherent noise attenuation using the frequency-wavenumber domain operator are presented. Near and far offset gaps are interpolated in synthetic and real shot gathers, with simultaneous resampling beyond aliasing. Waveforms are well preserved in general except when there is little coherence in the data outside the gaps or events with very different velocities are located at the same time. Multiples of diffractions are predicted and attenuated by subtraction from the data.
Crustal P‐Wave Velocity Structure from Altyn Tagh to Longmen Mountains along the Taiwan‐Altay Geoscience Transect

Based upon the seismic experiments along Geoscience Transect from the Altyn Tagh to the Longmen Mountains, the crustal P-wave velocity structure was derived to outline the characteristics of the crust in the eastern margin of Tibetan Plateau. The section shows a few significant features. The crustal thickness varies dramatically, and is consistent with the tectonic settings. The Moho boundary abruptly drops to 73km depth beneath the southern Altyn Tagh from 50km in the Tarim basin, then rises again to about 58km depth beneath the Qaidam basin. The Moho drops again to about 70km underneath the Songpan-Garze Terrane, then rises stepwise to 60km near Longmen Mountains. To further southeast, the crust thins to 52km beneath the Sichuan basin in the southeast of Longmen Mountains. In the north of the Kunlun Fault, a low-velocity zone,which may be a layer of melted rocks due to high temperature and pressure in the depth,exists in the the bottom of the middle crust.The two depressions of the Moho correlate with the Qilian and Songpan-Garze Terranes, implying that these two mountains have deep roots. According to our results, it is deduced that the thick crust of the northeastern Tibetan Plateau probably is a result of east-west and northwest-southeast crustal shortening since the Mesozoic during the collision of the Asian and Indian plates.
The Continuum Hypothesis

The problem actually arose with the birth of set theory; indeed, in many respects it stimulated the birth of set theory. In 1874 Cantor had shown that there is a one-to-one correspondence between the natural numbers and the algebraic numbers. More surprisingly, he showed that there is no oneto-one correspondence between the natural numbers and the real numbers. Taking the existence of a one-to-one correspondence as a criterion for when two sets have the same size (something he certainly did by 1878), this result shows that there is more than one level of infinity and thus gave birth to the higher infinite in mathematics. Cantor immediately tried to determine whether there were any infinite sets of real numbers that were of intermediate size, that is, whether there was an infinite set of real numbers that could not be put into one-to-one correspondence with the natural numbers and could not be put into one-to-one correspondence with the real numbers. The continuum hypothesis (under one formulation) is simply the statement that there is no such set of real numbers. It was through his attempt to prove this hypothesis that led Cantor do develop set theory into a sophisticated branch of mathematics. 1 Despite his efforts Cantor could not resolve CH. The problem persisted and was considered so important by Hilbert that he placed it first on his famous list of open problems to be faced by the 20 th century. Hilbert also struggled to resolve CH, again without success. Ultimately, this lack of ~ ~
Datos isotópicos (δ13C, δ18O) de la fauna pleistocénica de la Laguna de las Cruces, San Luis Potosí, México

Using bioegeochemical markers δ13C and δ18O, we determined the diet and habitat of three extinct mammals: Camelops hesternus, Equus sp. and Mammuthus columbi, found in Laguna de las Cruces (San Luis Potosi, Mexico). The statistical comparisons assayed among them showed that there are not differences in their diet since all of them may be classified as C3/C4 mixed feeders. Camelops hesternus used to have the major consumption of C4 plants, meanwhile Mammuthus columbi and Equus sp. ate more C3 plants. Those little differences in their feeding habits should explain their coexistence them at the site, that was a grassland with some trees, during Late Pleistocene.
InAsSb Photodiode Fibre Optic Thermometry for High-Speed, near-Ambient Temperature Measurements

Infrared radiation thermometers (IRTs) overcome many of the limitations of thermocouples, particularly responsiveness and calibration drift. The main challenge with radiation thermometry is the fast and reliable measurement of temperatures close to room temperature. A new IRT which is sensitive to wavelengths between 3 μm and 11 μm was developed and tested in a laboratory setting. It is based on an uncooled indium arsenide antimony (InAsSb) photodiode, a transimpedance amplifier, and a silver halogenide fibre optic cable transmissive in the mid- to long-wave infrared region. The prototype IRT was capable of measuring temperatures between 35 °C and 100 °C at an integration time of 5 ms and a temperature range between 40 °C and 100 °C at an integration time of 1 ms, with a root mean square (RMS) noise level of less than 0.5 °C. The thermometer was calibrated against Planck’s law using a five-point calibration, leading to a measurement uncertainty within ±1.5 °C over the aforementioned temperature range. The thermometer was tested against a thermocouple during drilling operations of polyether ether ketone (PEEK) plastic to measure the temperature of the drill bit during the material removal process. Future versions of the thermometer are intended to be used as a thermocouple replacement in high-speed, near-ambient temperature measurement applications, such as electric motor condition monitoring; battery protection; and machining of polymers and composite materials, such as carbon-fibre-reinforced plastic (CFRP).
Building Information Modelling (BIM) based Framework for Construction and Demolition Waste Estimation and Management

Modern day world gives huge importance to sustainable construction and demolition (C&D). Governments and companies all over the world, are striving to develop methods, which reduce waste. A good step is to reduce, reuse and recycle (3R principle) construction and demolition waste. Essential for these activities is to have proper estimates of waste, that would be generated on construction and demolition of structures. Current practice in construction industry compromises on accurate estimation and audit of waste produced and recycled in construction and demolition. Considering this anomaly, this research is conducted to develop a BIM based system, for better waste estimation. The system is aimed towards estimating total waste produced, along with classifying waste that could be recycled or that must be disposed after building demolition. Initially, available waste estimation systems and their limitations are analysed. Consequently, a waste estimation is performed on a residential building model designed in Revit structures software. Successively, the data from Revit is input to a software programmed in C++ language to get estimates of waste. The research results into formation of a framework that estimates waste for any building required to be demolished. The framework has capability of estimating amount of total waste generated along with the amount of recyclable and disposable waste. Along with that, the framework gives an estimate of the cost of total amount of waste produced, specifying amount saved on recycling/reusing.
Comparative Transcriptomics and Metabolomics Analyses of Avicennia marina and Kandelia obovata under Chilling Stress during Seedling Stage

One of the most productive ecosystems in the world, mangroves are susceptible to cold stress. However, there is currently insufficient knowledge of the adaptation mechanisms of mangrove plants in response to chilling stress. This study conducted a comparative analysis of transcriptomics and metabolomics to investigate the adaptive responses of Kandelia obovata (chilling-tolerant) and Avicennia marina (chilling-sensitive) to 5 °C. The transcriptomics results revealed that differentially expressed genes (DEGs) were mostly enriched in signal transduction, photosynthesis-related pathways, and phenylpropanoid biosynthesis. The expression pattern of genes involved in photosynthesis-related pathways in A. marina presented a downregulation of most DEGs, which correlated with the decrease in total chlorophyll content. In the susceptible A. marina, all DEGs encoding mitogen-activated protein kinase were upregulated. Phenylpropanoid-related genes were observed to be highly induced in K. obovata. Additionally, several metabolites, such as 4-aminobutyric acid, exhibited higher levels in K. obovata than in A. marina, suggesting that chilling-tolerant varieties regulated more metabolites in response to chilling. The investigation defined the inherent distinctions between K. obovata and A. marina in terms of signal transduction gene expression, as well as phenylpropanoid and flavonoid biosynthesis, during exposure to low temperatures.
Conductivity structure of oceanic upper mantle beneath the Pacific plate

Summary Ocean bottom magnetotelluric responses from three ages on the Pacific plate have been inverted to reveal the presence of a conductive zone whose depth is a function of lithospheric age. The conductivity achieves its maximum value (˜ 0.1 Sm-1) at depths near 70, 120 and 180 km for lithospheric ages of 1, 30 and 72 Myr respectively. The existence of this conductive structure has firmly been established by constructing a number of different acceptable models, and also by obtaining unique averages over depth of the conductivity. An explanation in terms of partial melting in the upper mantle has produced lower bounds for the volume fraction of melt which must exist in order to produce the high conductivity. Beneath JDF (t= 1 Myr) the lower bound lies in the range 0.04–0.12; beneath CAL (t= 30 Myr) it lies in the range 0.02–0.10; and beneath NCP (t= 72 Myr) it lies in the range 0.008–0.02. The distributions of partial melt show that the major portion of melt beneath JDF lies between 40 and 90 km and that melting has ceased by depths of about 170 km at all three sites. Geotherms have been computed and they are qualitatively similar to those predicted from a convective system where the temperature increases rapidly through a boundary layer to achieve a maximum value, and then (possibly) decreases with depth. The depth at which the maximum temperature is reached is about 125 km for CAL and about 175 km for NCP, and the maximum temperatures are estimated to be 1400–1500° C. Lastly, as an independent check upon the partial melt explanation, the location and magnitude of the seismic low-velocity zone has been correlated positively with the computed distribution of partial melt at all three ocean bottom sites.
Depth‐averaging errors in reactive transport modeling

Depth‐averaged reactive transport models are commonly used to represent field‐scale contamination in groundwater aquifers. These models rely on simplifying the governing equations through defining a depth‐averaged variable and vertically integrating the full reactive transport equation. This approach is exact provided that the governing equation is linear; however, vertically averaging a nonlinear conservation equation can introduce an error into the simplified model. We present a framework for analyzing this error so that the suitability of a depth‐averaged reactive transport model can be assessed quantitatively before the model is implemented. This framework shows how the error introduced by depth‐averaging reactive transport equations is governed by the parameters in the kinetic model and the geometry of the reactive transport problem.
Sliding Mode Control for Multi-Agent Systems Under Event-Triggering Hybrid Scheduling Strategy

The consensus tracking problem is investigated for leader-follower multi-agent systems (MASs) with constrained communication bandwidth between agents. A hybrid scheduling strategy is introduced to assign the sensor nodes dynamically. Compared with conventional event-triggering mechanisms and channel scheduling protocols, the proposed hybrid scheduling strategy establishes a dynamic coupling mechanism between channel resource and scheduling rules, aiming to strike a balance between reducing communication resource requirements and improving system performance. Considering the matched input perturbations, a co-design scheme for both the token-dependent distributed sliding mode controller and scheduling strategy is synthesized to attain consensus among the MASs. The controller gain and event-triggering thresholds are obtained by solving an optimization problem. Finally, a numerical example shows the effectiveness of the proposed strategy.
Diffusion Containment in Complex Networks Through Collective Influence of Connections

We study the containment of diffusion in a network immunization perspective, whose solution also plays fundamental roles in scenarios such as the inference of rumor sources and the control of malicious viral marketings. In general, the network immunization aims to suppress the giant connected component of a network by removing as fewer nodes as possible, so that the intervention of the transmission could be achieved by only a few resources. Here, rather than that and based on the fact that removing edges might be cheaper and more applicable in some scenarios, we investigate which group of edges whose removal could boost the performance of an immunization strategy more effectively. We consider both cases that the network topology is known and unknown, and thus two approaches are accordingly developed based on the Edge RelationShip (ERS) and Explosive Percolation over Partial (EPP) information. We evaluate the performance of ERS by comparing it with strategies based on the edge betweenness, the product of eigenvector centralities of the nodes connected by edges, the epidemic link equations, etc. Results on over 30 real networks show that ERS could effectively acquire far better solutions by much less computing time. We also demonstrate the performance of EPP in the circumstances of decentralized, centralized, and delayed cases. We find that the performance of EPP would be in a degree degraded by the uncertainty of inferences from individuals, inaccuracy of predictions, and delay of reactions. But in almost all cases, the developed approach can more effectively suppress a diffusion compared to the currently random strategy, especially when a tough restriction is needed or a combination with the acquaintance immunization is conducted.
Enzyme Related Synthesis of Lipids and Fabrication of Planar Lipid Membranes

Biological membranes are structurally and functionally complex supramolecular assemblies. The intricate complexity itself poses a significant barrier in investigating the constituents, components, and their structure-activity relationships. Scientists employ twosynthetic methods to reduce complexity: the top-down approach and the bottom-up approach. The top-down synthetic approach involves genome reduction of the living cell, leading to a collateral reduction in membrane complexity. In contrast, the bottom-upsynthetic approach like chemical and enzymatic synthesis engages assembly of non-living components to construct biomimetic membrane structures with desired complexity. The synthetic routes catalyzed by enzymes are referred to as enzymatic synthesis, while routes utilizing a combination of catalytic systems and enzymes are known as chemo-enzymatic synthesis. The lipids prepared by enzymatic or chemo-enzymatic method are essential to integrate into a membrane in a manner that makes them amenable to various analytical techniques. Planar lipid bilayer method is one such versatile technique which can be used to prepare membranes from individual lipid molecules to utilize in various analytical procedures. Two planar lipid membranes types, black lipid membrane and supported lipid membrane, are more common than other types due to their less complexity in preparation. This review discusses the enzyme related synthesis of lipids, the method of preparation and challenges involved in fabricating black lipid membrane and supported lipid membrane models.