Miracle-dz/UniFAR-FTUs huggingface dataset:
The Assessment of the Neurological Development of Infants with Prenatal COVID-19 Exposure

Objective: The effects of prenatal coronavirus 2019 disease (COVID-19) exposure on the infantile neurological development are unknown. It has been considered that the inflammatory, thrombotic, and vascular changes occurred in the placentas taken from pregnant women diagnosed with COVID-19 and the inflammatory nature of COVID-19 infection may lead to negative obstetric and neurological events. We aimed to assess the potential neurological effects of prenatal COVID-19 exposure on the infant. Methods: The present study included 2–12-month-old infants born to women with positive real-time reverse transcription polymerase chain reaction test results for COVID-19 from the population of pregnant patients under routine follow-up. The neurological examinations and the Denver II Developmental Screening Test (DDST II) were performed for 41 infants aged 2–12 months to assess the neurological effects of prenatal COVID-19 exposure. Results: The average gestational age of the infants was 38.7 ± 1.9 weeks, and the average birth weight was 3198 ± 543 g. Eight of the infants had a history of hospitalization in the neonatal intensive care unit. The neurological examination and the neuromotor development of 40 (96%) infants were normal for their age group. Only one infant had abnormal neurological examination and DDST II result. Conclusion: The findings of the study suggest that prenatal COVID-19 exposure has no negative neurological impact on infants. Long-term prospective studies with larger sample sizes are needed for more comprehensive assessment of the neurological effects of prenatal COVID-19 exposure on the infants.
Liquid Membrane-based Extraction of Arsenic: Part 1 - Experimental Study and Mathematical Modelling

This work focuses on the liquid membrane-based extractive removal of arsenic from water. The entire work has been divided into two parts. The Part 1 presents the experimental studies and mathematical modelling. The reaction mechanism of the transport of arsenic from one aqueous phase to the another one via thin liquid membrane were explored in two-phase liquid-liquid extraction studies and three-phase flat-sheet supported liquid membrane. The experimental studies were conducted in both two-phase (only extraction) and three-phase (extraction and recovery) mode. Various process parameters were varied and their corresponding extraction and recovery results were recorded for further analysis. The crucial process parameters were identified. This study employed a steady-state diffusion-based modelling approach to assess the distribution coefficient and extraction equilibrium constant. Additionally, it conducted a kinetic-controlled investigation to determine the permeability coefficient, from which the mass transfer coefficients were subsequently derived. Arsenic present in the aqueous feed phase binds to the extractant present in the organic phase to form a complex, leading to the transport of arsenic ions from the feed to the organic phase. The extractants may be dissolved in any one of the environmentally benign diluents including vegetable oils such as coconut oil, mustard oil, sesame oil, soybean oil and sunflower oil that has maximum extraction efficiency. Environmental benignity was emphasized in order to reduce the toxicity of the organic phase. Various types of extractants including acidic, basic and neutral were studied to find the one that had better binding affinity toward arsenic ions. As arsenic anions might exist in the solution, depending on the pH, the basic extractants such as trioctylamine (TOA) and methyltrioctylammonium chloride (Aliquat 336®) were included in this work. We studied the extraction of As(III) and As(V) when they were present in water as single components, as well as when they were present in combinations with various ratios such as As(III) ∶ As(V) ∶∶ 1 ∶ 1, As(III) ∶ As(V) ∶∶ 1 ∶ 2, and As(III) ∶ As(V) ∶∶ 2 ∶ 1. The extraction equilibrium constant determined from the distribution coefficient through mathematical modelling showed that As(V) species were favourable for extraction into organic phase, having a value of 8.2 M. Furthermore, it was found that all the species of arsenic form complexes in the organic phase with Aliquat 336 ® in the stoichiometric ratio of 1:1. The complexes formed between arsenic and Aliquat 336® were (NR (cid:2872) Cl)(H (cid:2871) AsO (cid:2871) ) for As(III) and (NR (cid:2872) )(H (cid:2870) AsO (cid:2872) ) for As(V), where R≡(C 8 H 17 ) 3 CH 3 was methyltrioctyl.
Efekti fiskalne politike na Republiku Srbiju i zemlje u okruženju

: Fiscal policy is a powerful instrument for stabilizing the national economy, and with its help the level and structure of taxes, expenditures and debt management are controlled. Fiscal policy management affects aggregate demand, the distribution of wealth, and the economy's ability to produce goods and services. It represents a tool of macroeconomic policy, and in this paper the authors will particularly deal with the impact of fiscal policy on certain macroeconomic components: public debt, balance of payments, but also on the attraction of foreign direct investments and competitiveness. States must conduct a responsible fiscal policy in accordance with their capabilities in order to reduce poverty and social inequalities, and at the same time ensure economic growth. Fiscal sustainability is a complex issue, especially in periods of crisis, and therefore it is necessary to make decisions that will have positive effects on economic development in the long term
Vitamin E for extra-good health

Research shows that intakes of more than 100 International Units (IU) a day can be counterproductive, because too much of one type of this antioxidant can stop the action of the others (each type of vitamin E is a member of a much larger family). That’s why my daily recommendation for vitamin E — what I call the RDH, or “Requirement for Daily Healing” — is 100 IU daily to help maintain optimal health. (This is the amount I include in the Energy Revitalization System vitamin powder.) If you take a higher level of this to treat a specific problem, be sure to take it in the form of mixed natural tocopherols (a type of organic compound) rather than a synthetic. This type of supplement delivers all the subtypes of vitamin E, including alpha (the most abundant and active form), beta, gamma, and delta-tocopherols. Each subtype has a slightly different mode of action, and all are important.
The Confidence Interval of Cross-Sectional Distribution of Durations

Tian and Dixon (2022) derived the variance of the estimator of cross-sectional distribution of durations ( CSD ). In this paper, we apply both Fieller’s method and the Delta method to derive confidence interval of CSD using this variance formula. ( CSD ) is a new estimator derived by Dixon (2012). It can be applied in general Taylor model ( GT E ) by Dixon and Bihan (2012) and hospital waiting times by Dixon and Siciliani (2009). We use Monte Carlo simulations to evaluate the empirical size of Fieller’s method and delta method among different sample sizes. The empirical results show that both Fieller’s method and the delta method are valid in terms of estimating the confidence interval of CSD . Finally, we use both methods for real data set: the UK CPI micro-price data. Depending on the application, we see that both methods provide reasonable CIs for CSD estimators.
Magnetic Resonance ( MR ) Guided Focused Ultrasound ( MRgFUS ) and High Intensity Focused Ultrasound ( HIFU ) Ablation Effective : October

PLEASE NOTE: Contracts exclude from coverage, among other things, services or procedures that are considered investigational or cosmetic. Providers may bill members for services or procedures that are considered investigational or cosmetic. Providers are encouraged to inform members before rendering such services that the members are likely to be financially responsible for the cost of these services.
Beyond Canonicity Modeling Canon/Archive Literary Change in French Fiction

This study offers a fresh perspective on the Canon/Archive problem in literature through computational analysis. Following Tynianov’s understanding of literature, we adopt a dynamic approach to literature by proposing a model of literary variability using the Kullback-Leibler divergence. We retrieve key authors and works that shape the broad outlines of literary change. Our aim is to evaluate the importance of canonical authors on literary variability. We opt for a cohort-driven setup to analyze the variability contributed by a given text, focusing on specific formal and semantic aspects of texts such as topics, lexicon, characterization, and chronotope. The findings reveal that canonical authors tend to contribute slightly more to literary change than those from the archive.
Chapman University Digital Commons Chapman University Digital Commons

Biological nitrogen ﬁ xation, the conversion of N 2 gas into a bioavailable form, is vital to sustaining marine primary production. Studies have shifted beyond traditionally studied tropical diazotrophs. Candidatus Atelocyanobacterium thalassa (or UCYN-A) has emerged as a focal point due to its streamlined metabolism, intimate partnership with a haptophyte host, and broad distribution. Here, we explore the environmental parameters that govern UCYN-A ’ s presence at the San Pedro Ocean Time-series (SPOT), its host speci ﬁ city, and statistically signi ﬁ cant interactions with non-host eukaryotes from 2008-2018. 16S and 18S rRNA gene sequences were ampli ﬁ ed by “ universal primers ” from monthly samples and resolved into Amplicon Sequence Variants, allowing us to observe multiple UCYN-A symbioses. UCYN-A1 relative abundances increased following the 2015-2016 El Niño event. This “ open ocean ecotype ” was present when coastal upwelling declined, and Ekman transport brought tropical waters into the region. Network analyses reveal all strains of UCYN-A co-occur with dino ﬂ agellates including Lepidodinium , a potential predator, and parasitic Syndiniales . UCYN-A2 appeared to pair with multiple hosts and was not tightly coupled to its predominant host, while UCYN-A1 maintained a strong host-symbiont relationship. These biological relationships are particularly important to study in the context of climate change, which will alter UCYN-A distribution at regional and global scales.
Effect of Short-Term Water Deﬁcit on Some Physiological Properties of Wheat ( Triticum aestivum L.) with Different Spike Morphotypes

: Water deﬁcit is one of the most important stress factors affecting yield and production quality. Breeders are focusing on breeding wheat cultivars and crop lines that are more resistant to water deﬁcit, so there is a possibility that plants with changes in their ear morphologies, such as long chaff and multi-rowed varieties, will be more resistant to water deﬁcit. Therefore, our research focused on the study of changes in the physiological
Regression Models forkey Economic Savannah tree Species. A case study of Parkia biglobosa in the Guinea Savanah Ecological Zone of Ghana

Parkia biglobosa is a multipurpose economic species of the Savannah ecosystem in Northern Ghana which is known for its fermented seeds product usually called ‗dawadawa‘. The rising demands for its numerous benefits and the lack of active conservation measures have endangered the species in most of its natural ranges. Data on its dendrometry, which is as prerequisite for its sustainable management, arelimited especially in Ghana. This study, therefore, investigated the relationships between fivedendrometry variables and developed models for predicting them.The prediction models were developed using diameter at breast height and crown diameter as independent variables. Ten randomly distributed trees were sampled, and data collected and analyzed using Pearson correlation and simple linear regression. It was observed that stem diameter was positively correlated with all the other four variables measured . The strongest correlation was observed between stem diameter at breast height and crown diameter at 0.69. The co-efficient of determination between stem diameterat breast height and total height, crown diameter, crown ratio and crown heighthad R 2 values of 0.16, 0.48, 0.19 and 0.28, respectively. Crown diameter was also positively related with total height with correlation co-efficient of 0.97 and R 2 value of 0.09. The relationship between stem diameter at breast height and crown diameter was significant with f-value of 0.03 at 95% confidence level. The results will make significant contributions to the management of trees in the study area. The study, being a pioneering one, will also set the pace for similar studies to be conducted to assist improve the models developed.
Alaska megathrust 1: Seismicity 43 years after the great 1964 Alaska megathrust earthquake

The largest moment release during the 1964 Mw 9.2 Alaska earthquake was on the portion of the megathrust under the eastern Kenai Peninsula and the Prince William Sound. The area is currently locked geodetically and corresponds to where the Yakutat terrane is subducting. In 2006–2009, a seismic array consisting of 34 broadband seismometers was deployed in the region. An automatic algorithm was used to detect 12,563 local earthquakes using 13 months of data from the experiment. Of these, 9427 good quality earthquakes could be relocated in a joint inversion for hypocenters and velocity structure. They were then relocated by double difference to generate a final catalog of 8308 hypocenters. These microearthquakes delineate a deeper steeply dipping Wadati‐Benioff zone contiguous with an 11 km wide seismic zone dipping at 3° between 20 km and 40 km depth along the 1964 earthquake's rupture zone. Focal mechanisms do not show interplate thrust faulting events, but mostly normal faulting events with T axes generally parallel the slab dip direction, indicating them to be intraslab seismicity. The shallow narrow band of seismicity lies within the subducting Yakutat terrane and right below the thrust zone. Possibly, thrust faulting has not yet resumed yet in this early phase of the earthquake cycle. Thick subducted sediments overlying the Yakutat terrane could also form a large strong contact zone on a relatively smooth plate boundary, which does not favor seismic sliding on small patches but ruptures homogenously in great earthquakes.
The evolution of extremely diverged plastomes in Selaginellaceae (lycophyte) is driven by repeat patterns and the underlying DNA maintenance machinery

SUMMARY Two factors are proposed to account for the unusual features of organellar genomes: the disruptions of organelle-targeted DNA replication, repair, and recombination (DNA-RRR) systems in the nuclear genome and repetitive elements in organellar genomes. Little is known about how these factors affect organellar genome evolution. The deep-branching vascular plant family Selaginellaceae is known to have a deﬁcient DNA-RRR system and convergently evolved organellar genomes. However, we found that the plastid genome (plastome) of Selaginella sinensis has extremely accelerated substitution rates, a low GC content, pervasive repeat elements, a dynamic network structure, and it lacks direct or inverted repeats. Unexpectedly, its organelle DNA-RRR system is short of a plastid-targeted Recombinase A1 (RecA1) and a mitochondrion-targeted RecA3, in line with other explored Selaginella species. The plastome contains a large collection of short-and medium-sized repeats. Given the absence of RecA1 surveillance, we propose that these repeats trigger illegitimate recombination, accelerated mutation rates, and structural instability. The correlations between repeat quantity and architectural complexity in the Selaginella plastomes support these conclusions. We, therefore, hypothesize that the interplay of the deﬁcient DNA-RRR system and the high repeat content has led to the extraordinary divergence of the S. sinensis plastome. Our study not only sheds new light on the mechanism of plastome divergence by emphasizing the power of cytonuclear integration, but it also reconciles the longstanding contradiction on the effects of DNA-RRR system disruption on genome structure evolution.
NCAM induces CaMKII-mediated RPTP phosphorylation to enhance its catalytic activity and neurite outgrowth

The Rockefeller University Press $30.00 J. Cell Biol. Vol. 182 No. 6 1185–1200 www.jcb. org/cgi/doi/10.1083/jcb.200803045 JCB 1185 V. Bodrikov, V. Sytnyk, and I. Leshchyns ’ ka contributed equally to this paper. Correspondence to Melitta Schachner: melitta.schachner@zmnh.uni-hamburg.de Abbreviations used in this paper: BisI, bisindolylmaleimide I; CaM, calmodulin; CaMKII , CaM-dependent protein kinase II ; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; GPI, glycosylphosphatidylinositol; NCAM, neural cell adhesion molecule; RPTP , receptor protein tyrosine phosphatase ; RPTP -ID, intracellular domains of RPTP  ; RPTP  WT, wild-type RPTP ; VDCC, voltagedependent Ca 2+ channels. The online version of this paper contains supplemental material. Introduction
SmrtComp: Intelligent and Online CAN Data Compression

In modern vehicles, efficiently storing CAN bus data is crucial for on-board diagnostics, performance monitoring, analysis, and the investigation of failures and accidents. In past work, an EDR (Event Data Recorder) akin to the ones in aircrafts has been mooted. The state-of-the-art in this field comprises proposals that propose efficient lossless compression of CAN data for such analyses – this limits the data storage capacity. Our contribution SmrtComp aims to achieve a much larger storage efficiency by storing recent data in a lossless format and compressing older data in increasingly lossy formats. The system tries to approximately adhere to an expected accuracy vs time curve (a QoS metric) that is specified a priori. Our study evaluates SmrtComp's performance using various metrics such as the compression gain (CG), root mean square error (RMSE), total data storage and the preservation of key features. SmrtComp was implemented on an ARM Beaglebone board; it was used to store realistic traces and synthetic traces obtained from CAN bus simulators. We achieve a 3.2× higher data storage efficiency as compared to the closest competing work and outperform a popular lossy algorithm by 94.33% in terms of the RMSE. SmrtComp achieves line-speed compression of CAN bus data making it a promising solution for managing large data volumes, and we also show that our compression method preserves anomalies. To the best of our knowledge, this is the first hybrid and tunable compression system in this domain.
Sampling and analyzing metals in soils for archaeological prospection: A critique

This paper presents a critique of current methods of sampling and analyzing soils for metals in archaeological prospection. Commonly used methodologies in soil science are shown to be suitable for archaeological investigations, with a concomitant improvement in their resolution. Understanding the soil‐fraction location, concentration range, and spatial distribution of autochthonous (native) soil metals is shown to be a vital precursor to archaeological‐site investigations, as this is the background upon which anthropogenic deposition takes place. Nested sampling is suggested as the most cost‐effective method of investigating the spatial variability in the autochthonous metal concentrations. The use of the appropriate soil horizon (or sampling depth) and point sampling are critical in the preparation of a sampling regime. Simultaneous extraction is proposed as the most efficient method of identifying the location and eventual fate of autochthonous and anthropogenic metals, respectively. © 2004 Wiley Periodicals, Inc.
Journal of Computer Languages

Discrete constraint problems surface often in everyday life. Teachers might group students with complex considerations and hospital administrators need to produce staff rosters. Constraint programming (CP) provides techniques to efficiently find solutions. However, there remains a key challenge: these techniques are still largely inaccessible because expressing constraint problems requires sophisticated programming and logic skills. In this work we contribute a language and tool that leverage knowledge of how non-experts conceptualize problems to facilitate the expression of constraint models. Additionally, we report the results of a study surveying the advantages and remaining challenges towards making CP accessible to the wider public.
Application of Wavenumber-frequency Method for Characteristic Frequency Prediction of Cavity Noise at Subsonic Speeds

Flow-acoustic feedback is one of the main types of noise in a cavity, is caused by the instability of the cavity shear layer and is enhanced through an acoustic-wave feedback mechanism. The flow characteristics of the cavity boundary/shear layer and the characteristic frequencies of the flow-acoustic feedback in the cavities are studied numerically, with aspect ratios ranging from 1/2 to 4/3. The freestream Mach number is equal to 0.11, corresponding to an Re-based cavity length of 2.1×10 5 . Improved Delayed Detached Eddy Simulations combined with Ffowcs Williams-Hawkings acoustic analogy are used to simulate the flow and noise characteristics of the cavities. Auto-correlation analysis of flow field fluctuations is used to establish a link between the boundary/shear layer pressure fluctuations and flow-acoustic feedback noise. For the low aspect ratio cavities investigated in this paper, convection velocities along the shear layer development direction are obtained using wavenumber-frequency analysis. The deeper the cavity, the lower the shear layer flow velocity. Correspondingly, the characteristic frequencies of the narrowband noise generated by the flow-acoustic feedback shift linearly toward the low frequency band as the cavity depth increases. The results of the predicted noise characteristic frequencies obtained using wavenumber-frequency analysis and Rossiter'
Psychocentrum Review

The study aims to adapt and validate the MHC-LF in Indonesia. The sample used was 315 participants, 29 from the client group and 286 from the general group. Psychometric property analysis was carried out, including item analysis, reliability estimation using test-retest and internal consistency, and collecting validity evidence based on test content, internal structure, and relationships with other variables. The results showed that psychological well-being item number 10 and social well-being number 3 had insignificant loading factor values. MHC-LF reliability is high, with r= 0.85-0.94. This shows that the score produced by the MHC-LF is stable over time, and the items that compose it have internal consistency and are unidimensional. The expert panel judgment provides evidence that all MHC-LF items are relevant to measured aspects. Confirmatory factor analyses confirmed the three-factor model of emotional, psychological, and social well-being. MHC-LF is positively correlated with WEMWBS and negatively correlated with BDI-II. The difference in the mean scores of each subscale and the total significantly differed between the general and client groups. The validity evidence proves that the MHC-LF is a measuring tool that measures subjective well-being. The systematic judgmental scale provides evidence that the measurement tool for the translation results is equivalent to the original version.