Distinct Components Research Articles

Oscillatory features of German–English sentence processing: Evidence from an EEG study

Aims and objectives: In this study, we investigated the neural oscillatory patterns occurring during sentence-level overt bilingual processing tasks on 46 German–English bilinguals with the intention of finding out if there were task-specific oscillations for this language pair. Methodology: Four tasks, including Language 2 (L2) listening, Language 1 (L1) speaking, L2 shadowing (i.e., repeating a segment of an utterance), and backward interpreting (i.e., orally translating L2 sentences to L1), were implemented with the technique of electroencephalography (EEG). Data and analysis: Data included demographic indices, neural oscillation metrics, and oral production scores from participants. Static spectral analysis, time–frequency analysis, principal components analysis, cross-frequency coupling, and inferential statistics were applied to the data. Findings: The sensory task and articulatory tasks differed greatly in the delta–theta band and the beta–gamma band in terms of time–frequency dynamics. Analyses also revealed variations in a frontal/prefrontal theta component and a distinct gamma component across the four tasks. Moreover, we found a right fronto-temporal theta–gamma coupling unique to backward interpreting. Originality: The task-wise comparison experiment paradigm has rarely been implemented in neuroimaging research on language, especially so in EEG research on bilingualism. Significance: The findings provide novel insights for the understanding of language conversion mechanism and may benefit the training of professional interpreters.

Debt trap dynamics: The moderating role of convenience, financial literacy, and religiosity in credit card usage

In the modern age, the card payment business has flourished in Pakistan. Many multinational and national commercial banks have not only introduced debit cards but also many types of credit cards with distinct payment plans, and they are broadly used as financial instruments in consumer financing. The purpose of this research is to identify the distinctive components that cause credit card debt and how Pakistanis are snared into a debt trap by using credit cards. For this purpose, the study examines the effects of credit card usage (CCU), materialism (M), installment plan (IP), convenience (CONV), religiosity (R), and financial literacy (FL) on a dependent variable, debt trap (DT). Furthermore, the moderation impacts of R, FL, and CONV are tested too. The quantitative research approach and cross-sectional research design were applied. The data was collected from 297 credit card users by using a convenience sampling technique that shows a 79.2 % response rate. The Partial Least Square (PLS)-Structural Equation Modeling (SEM) technique was employed for data analysis. The Partial Least Square (PLS)-Structural Equation Modeling (SEM) direct effect has shown that CCU, M, IP, CONV, and R have a significant relationship with DT while FL has an insignificant relationship with the DP. In other words, the indirect effect has shown that FL is not significantly moderate in the relationship between R and DT. Likely, CONV does not significantly moderate the relationship between CCU and DP, however; other indirect effects show a significant moderated relationship of all other independent and dependent variables. Most of the moderating effects are supported, therefore the moderating effects are significant contributions. The study findings could help banks and regulatory bodies in launching these types of credit cards which are under shariah complaints about captivating the users to use the credit card without any fear. This research is a pioneer study in the context of the Pakistan banking sector along with three moderators, religiosity, financial literacy, and convenience. Based on the findings of this research, policymakers and financial institutions in Pakistan should consider introducing Shariah-compliant credit cards that align with users' religious beliefs, while promoting financial literacy programs to better educate consumers on responsible credit card usage and debt management, thus preventing them from falling into debt traps.

Assessment of angular distribution of sound scattering in enclosures

This study proposes an approach for quantitatively assessing sound scattering degrees caused by objects within enclosures. It categorizes the high-frequency sound fields in rooms into two distinct components: (1) specular reflections arising from boundary surfaces, and (2) non-specular scattering contributed by objects (interiors). To achieve this, sound fields sampled on a sphere for two scenarios, with and without interiors, were decomposed into plane waves. The coherence between the impulse responses of these plane waves for these two scenarios is analyzed to obtain the proportion of specular and non-specular components within the room containing interiors. Derived from these coherence curves, the Equivalent Scattering Coefficients (ESCs) quantify the degree of scattering distributed across various directions, reflecting the interaction of sound waves with these interior elements. The extracted ESCs facilitate to quantification of the proportion of specular and non-specular components, which can be efficiently modeled separately and combined in a hybrid acoustic model, offering significant potential for sound field reconstruction.

Enhancing DHA supplementation adherence: A Bayesian approach with finite mixture models and irregular interim schedules in adaptive trial designs.

Docosahexaenoic acid (DHA) supplementation has proven beneficial in reducing preterm births. However, the challenge lies in addressing nonadherence to prescribed supplementation regimens-a hurdle that significantly impacts clinical trial outcomes. Conventional methods of adherence estimation, such as pill counts and questionnaires, usually fall short when estimating adherence within a specific dosage group. Thus, we propose a Bayesian finite mixture model to estimate adherence among women with low baseline red blood cell phospholipid DHA levels (<6%) receiving higher DHA doses. In our model, adherence is defined as the proportion of participants classified into one of the two distinct components in a normal mixture distribution. Subsequently, based on the estimands from the adherence model, we introduce a novel Bayesian adaptive trial design. Unlike conventional adaptive trials that employ regularly spaced interim schedules, the novelty of our proposed trial design lies in its adaptability to adherence percentages across the treatment arm through irregular interims. The irregular interims in the proposed trial are based on the effect size estimation informed by the finite mixture model. In summary, this study presents innovative methods for leveraging the capabilities of Bayesian finite mixture models in adherence analysis and the design of adaptive clinical trials.

EXPLORING BEE VENOM VOL ATILES: A PROMISING AVENUE FOR CYSTIC FIBROSIS

Bee venom, a complex mixture of bioactive compounds, has demonstrated anti-inflammatory, antimicrobial, and immunomodulatory properties. Notably, the volatiles released by bee venom components have garnered attention for their potential in respiratory-related disease conditions. Cystic fibrosis (CF) is a challenging disorder, characterized by a genetic mutation affecting the CFTR protein, leading to the production of thick and sticky mucus in various organs, particularly the lungs and digestive system, and necessitating innovative therapeutic approaches. This research explored both bee venom volatiles’ chemical composition and the effects on airway inflammation and mucus viscosity in CF patients by in silico methods. GC/MS analyses with various SPME fibers have conducted the identification of 67 distinct components in volatile compounds of bee venom. For CW/DVB, CAR-PDMS, and DVB-PDMS fibers, the compounds identified in the highest amounts were perilla alcohol (42.21%), tetradecane (11.48%), and 1,2-benzenedicarboxylic acid, 1,2-bis(2-methylpropyl) ester (39.98%), respectively. In silico analyses subsequently indicated that these components exhibit anti-inflammatory effects by modulating key cytokines and reducing inflammatory markers in CF airways. This research highlights the potential of bee venom volatiles as a novel therapeutic avenue for managing CF symptoms. Harnessing the unique properties of bee venom may offer new perspectives in the development of targeted therapies for individuals affected by cystic fibrosis.

Investigation of the vibro-acoustic signature of a heat pump through an experimental transfer path analysis

With the increasing interest on heat pumps due to their energy efficiency and environmentally favorable characteristics, concerns regarding their operational noise and vibration levels are becoming paramount, particularly in residential applications where occupant comfort is a priority. A heat pump consists of significantly distinct components regarding their physical properties, contributing to a complex dynamic system with respect to noise and vibration. To better understand its vibro-acoustic signature, this work presents an experimental transfer path analysis (TPA) of an outdoor unit of a heat pump system for residential applications. In this study, the main noise sources and the predominant vibration and noise paths are identified. Predictions of the total and partial responses at the receiver side is determined in order to quantify the contribution of each individual path. For the determination of the operational internal forces, the inversion matrix method is adopted. The findings of this study can contribute to the development of effective design guidelines and engineering solutions for minimizing the acoustic and vibrational footprint of residential heat pumps.

The impact of trauma core dimensions on anxiety and depression: a latent regression model through the Post-Traumatic Symptom Questionnaire (PTSQ)

Adverse life events (e.g., severe accidents, violence/abuse, organic disorders) can elicit traumatic responses characterized by intrusive thoughts, hyperarousal, and avoidance—highlighting the need for sound assessment tools. Also, these traumatic components could heighten anxiety and depression symptoms. This study aims included to: (1) assessing the psychometric properties of the Post-Traumatic Symptom Questionnaire (PTSQ) and delineating clinical cut-offs; (2) investigating how distinct trauma components contribute to anxiety and depression symptoms. Involving 761 participants who experienced a traumatic event, Part I tested the PTSQ psychometric properties, defining clinical cut-offs. Part II tested the impact of traumatic components on anxiety and depression symptoms, using a multiple multivariate latent regression model. PTSQ exhibited exemplary fit indices and robust psychometric properties. Clinically relevant cut-offs were identified. The differential contributions of intrusion, avoidance, and hyperarousal to anxiety and depression symptoms were evaluated, elucidating the strength and nature of these relationships. This study reaffirms the PTSQ as a psychometrically sound and reliable instrument. It underscores the effects of intrusion, avoidance, and hyperarousal on anxiety and depression symptoms in individuals with traumatic experiences. These insights advocate for evidence-based interventions aimed at alleviating the psychological suffering associated with trauma components, fostering adaptation and supporting psychological health.

The Interaction Fidelity Model: A Taxonomy to Communicate the Different Aspects of Fidelity in Virtual Reality

Fidelity describes how closely a replication resembles the original. It can be helpful to analyze how faithful interactions in virtual reality (VR) are to a reference interaction. In prior research, fidelity has been restricted to the simulation of reality—also called realism. Our definition includes other reference interactions, such as superpowers or fiction. Interaction fidelity is a multilayered concept. Unfortunately, different aspects of fidelity have either not been distinguished in scientific discourse or referred to with inconsistent terminology. Therefore, we present the Interaction Fidelity Model (IntFi Model). Based on the human-computer interaction loop, it systematically covers all stages of VR interactions. The conceptual model establishes a clear structure and precise definitions of eight distinct components. As a communication tool, it helps teams to understand and discuss fidelity in VR. It was reviewed through workshops with fourteen VR experts. We provide guidelines, diverse examples, and educational material to apply the IntFi Model universally to any VR experience and propose foundational research opportunities.

Chemical and isotopic investigation of the I-type Bega Batholith, southeastern Australia: Implications for batholith compositional zoning and crustal evolution in accretionary orogens

Cordilleran granitic batholiths represent significant episodes of crustal growth and differentiation, and commonly display lateral isotopic and chemical variations. Establishing the tectono-magmatic processes responsible for generating this compositional asymmetry is important for understanding crustal evolutionary processes throughout the Phanerozoic. The Bega Batholith, an example of a ‘Cordilleran style’ granite batholith, is the largest I-type Siluro-Devonian granite complex in the Lachlan Fold Belt (LFB) of southeastern Australia and comprises seven granite supersuites that display systematic lateral isotopic and chemical asymmetry. From west to east towards the present-day continental margin, an increase in the content of Na2O, Sr, Al2O3, and P2O5, with concomitant decreases in CaO, Sc, Rb, and V are observed. In the same direction, whole-rock initial 87Sr/86Sr decreases from 0.7098 to 0.7039, εNd values increase from −8.3 to +4.4, and δ18O decreases from 10.2 ‰ to 7.9 ‰. Depleted-mantle model ages also decrease from ca. 1800 Ma in the west to 600 Ma in the east. Here, we address whether these chemical and isotopic variations were generated by interaction between two distinct components (mantle-derived magmas and supracrustal sources) or were alternatively produced by partial melting of infracrustal source rocks formed sequentially by much earlier episodes of crustal underplating. Combined whole-rock Nd-Sr-O isotopic and geochemical analyses indicate that several I-type supersuites exhibit chemical and isotopic correlations consistent with two-component magma mixing. This new evidence challenges the long-held view that I-type granites derive exclusively from the melting of infracrustal sources, and that granite terranes represent wholesale crustal reworking rather than new crustal growth. Our results show that the compositional zoning within the Bega Batholith is multifaceted. Firstly, the presence of two discrete mantle sources endows chemically and isotopically distinct eastern and western segments in the batholith. Secondly, within these compositionally distinct regions the lateral compositional changes across supersuites derives from mixing between mantle-derived and supracrustal sources. Finally, progressive extension within a developing back-arc environment regulates the ratio of crust-mantle contributions and compositional architecture of each I-type supersuite.

Exploring the anti-NSCLC mechanism of phillyrin targeting inhibition of theHSP90-AKT pathway.

Phillyrin (PHN), derived from the dried fruit of Forsythia suspensa (Thunb.) Vahl, is a kind of Chinese herbal medicine with the effect of clearing heat, and has been used in China for thousands of years in treating various tumors. However, the mechanism of its main components on non-small cell lung cancer (NSCLC) remains unclear. PHN is a distinct component extracted from Forsythia suspensa with promising anti-cancer activity against various tumor types. This study sought to elucidate the promising effects of PHN on NSCLC. Based on network pharmacology results, we identified potential PHN targets and pathways for NSCLC treatment. CCK-8 assay, wound healing assay, apoptosis assay, western blot, and in vivo experiments verified the inhibitory effect of PHN on NSCLC. Network pharmacology identified 160 potential PHN targets, 955 NSCLC-related targets, and 54 common targets, along with 132 pathways and 2 core genes. Biological experiments demonstrated that PHN significantly inhibited the growth and migration of A549 and LLC cells while promoting their apoptosis. Western blot analysis revealed down-regulation of AKT, HSP90AA1, and CDC37 expression, suggesting that PHN inhibits A549 and LLC cell proliferation by down-regulating the HSP90-AKT pathway. In vivo experiments confirmed that PHN significantly inhibited NSCLC growth with low toxicity. This study, using network pharmacology and biological experiments, verified the effectiveness of PHN against NSCLC through the HSP90-AKT pathway. These findings provide a foundation for further research and analysis.

Individual preferences in multiple goal pursuit: Reconsidering the conceptualization and dimensionality of polychronicity

AbstractWith increasing demands in work and life, successful self‐regulation of multiple goals becomes critical to the well‐being and performance of individuals and organizations. When pursuing multiple goals, individuals may use different strategies and have divergent preferences toward these strategies. Polychronicity, or the preference for multitasking over sequential tasking, has long been considered a unidimensional construct with two opposing ends. To empirically test this assumption, we reconstructed existing polychronicity items to explore a new scale that measures preferences separately and synthesizes different operationalizations of multitasking (i.e., concurrent tasking and task switching) (study 1). We found that multitasking and sequential preferences, while related, have distinct components and can co‐occur within individuals, challenging the traditional bipolar assumption (study 2). Finally, we used a behavioral task‐switching paradigm to simulate a multitasking environment. We found that consistent with past research, the preferences were not associated with behavioral performance but were associated with subjective experience (study 3). Our findings suggest that assuming multitasking and sequential preferences are completely antithetical can be an oversimplification. This research opens opportunities for future research on multiple goals.

IPA: Class 0 Protostars Viewed in CO Emission Using JWST

We investigate the bright CO fundamental emission in the central regions of five protostars in their primary mass assembly phase using new observations from JWST’s Near-Infrared Spectrograph and Mid-Infrared Instrument. CO line emission images and fluxes are extracted for a forest of ∼150 rovibrational transitions from two vibrational bands, v = 1−0 and v = 2−1. However, 13CO is undetected, indicating that 12CO emission is optically thin. We use H2 emission lines to correct fluxes for extinction and then construct rotation diagrams for the CO lines with the highest spectral resolution and sensitivity to estimate rotational temperatures and numbers of CO molecules. Two distinct rotational temperature components are required for v = 1 (∼600 to 1000 K and 2000 to ∼104 K), while one hotter component is required for v = 2 (≳3500 K). 13CO is depleted compared to the abundances found in the interstellar medium, indicating selective UV photodissociation of 13CO; therefore, UV radiative pumping may explain the higher rotational temperatures in v = 2. The average vibrational temperature is ∼1000 K for our sources and is similar to the lowest rotational temperature components. Using the measured rotational and vibrational temperatures to infer a total number of CO molecules, we find that the total gas masses range from lower limits of ∼1022 g for the lowest mass protostars to ∼1026 g for the highest mass protostars. Our gas mass lower limits are compatible with those in more evolved systems, which suggest the lowest rotational temperature component comes from the inner disk, scattered into our line of sight, but we also cannot exclude the contribution to the CO emission from disk winds for higher mass targets.

Stripe pattern differences can be used to distinguish individual adult zebrafish.

Adult zebrafish are commonly used as disease models in biomedical research, but unlike in other model organisms such as rodents, there is no simple method for distinguishing individuals, even though the importance of individual differences is recognized in such research. We developed a side viewing device that can be used to capture images of stripe patterns and identified eight distinct components of stripe patterns on the caudal and anal fins that allowed us to distinguish individual fish. We found that the stripe patterns were consistent for at least 8 weeks in males and females of two lines of wild-type zebrafish. These results suggest that individual adult zebrafish can be distinguished in an easy and non-invasive manner, allowing researchers to incorporate individual differences in biomedical research as in rodent models.

Women characters in the text Sekaśubhodayā: A Cosmopolitan voice of Moral and Ethical Values

“Social organization cannot be really understood expect as a part of culture; and all special lines of enquiring referring to human activities, human groupings and human ideas and beliefs can meet and become cross fertilized in the comparative study of cultures” Values, Morality and Ethics – this try polar system i.e. (the sense of righteous) are the epitome of Human existence. Although it is differ from man to man. In the present century search for a theory of values has become a separate branch and has been called axiology. According to our opinion the main approach to value system comprises two parts i.e. theistic and humanistic. Theistic approach opines that absolute values are related to absolute reality where the supreme power is the upholder of all values. Whereas, humanistic holds that the values are as a distinct component of the total human personality, which guide or affect attitude and behaviour of the individual and social groups. The text we are dealing here is entitled with Sekaśubhodayā; is a hagiological literature which attributed to Halāyudha Miśra. The blending of Sanskrit and Bengali makes the text unique. Political discrepancy, social and moral degeneration, adultery and mutual rivalry projected boldly without much pretention. Although the text is a pen picture of decadent Medieval Bengal, still a handful of Women excels in their own merit and retains the morality that is equally relevant even in 21st century. The position of women in Medieval Bengal, especially of the house-wives of well-to-do families, as reflected in this story is somewhat unparalleled in Sanskrit literature. This text predicts as a unique collection in the genre of Sanskrit literature because of its sharp representation of women characters. Characters like Madhavī, Vidhutprabhā taught us a lesson that the concept of Satyam, Śivam and Sundaram is the beauty of human nature if we violate one another one automatically disturbed. Our endeavor is to reevaluate this value system in our life which is still relevant.

Early Detection of Ovarian Cancer May be Possible with Combination of Artificial Intelligence and Liquid Biopsies

A liquid biopsy - a blood test - in combination with machine learning/artificial intelligence (AI) to detect and analyze distinctive tumor components, cancer-related genetic changes, and protein biomarkers released into the peripheral circulation, could help screen women for early signs of ovarian cancer, enabling a new accessible approach for non-invasive ovarian cancer screening and diagnostic evaluation.

Multidisciplinary assessment of seasonal ground displacements at the Hatfield Moors gas storage site in a peat bog landscape

The study aims to analyse ground displacement conditions observed over an Underground Gas Storage (UGS) site located at Hatfield Moors (United Kingdom), with a focus on understanding its implications for decarbonization efforts. The location serves as an active onshore storage site and was used as an analogy to assess ground motion implications around Carbon Capture and Storage (CCS) by the British Geological Survey (BGS) as part of the SENSE (Assuring integrity of CO2 storage sites through ground surface monitoring) project. Given the value of continuous and real-time monitoring of ground movements induced by gas storage activities, the study leverages satellite Interferometric Synthetic Aperture Radar (InSAR) data to assess the environmental impact of UGS operations. Using free and open-source Sentinel-1 satellite data, ground motion patterns over Hatfield Moors are analysed, highlighting displacements ranging from − 5.0 to -10.0 mm/year within the peat bog. In addition, the Time Series (TS) of ground displacement from January 2018 to December 2022 reveals a seasonality in ground motion, with uplift observed in late winter and subsidence in late summer, showing a periodicity of approximately 1 year and a magnitude of +/-10.0 mm. Through in-depth analysis, the study highlights the need to understand the underlying causes of ground fluctuations at gas storage sites. This paper shows that InSAR has the versatility to integrate seamlessly with different monitoring tools and methodologies, opening avenues for comprehensive and holistic analyses. Cross-correlation analyses further elucidate temporal relationships between different datasets by evaluating InSAR time series, UGS injection/withdrawal data and piezometric data. This involves decomposing the TS into distinct components, including trend, seasonality and residuals. The case of Hatfield Moors shows a significant discrepancy between the UGS data and the InSAR TS, while also demonstrating a clear correlation between the groundwater data and the InSAR TS. By integrating insights from geology, hydrology and remote sensing technologies, the study navigates the complexities inherent in areas of overlapping phenomena. Accurate interpretation is essential for informed decision making, particularly at sites such as Hatfield Moors, where the convergence of natural peat motion and storage operations highlights the need for interdisciplinary analysis to understand the underlying causes of ground fluctuation.

The Car1 Knockout Mice Exhibit Antidepressant-like Behaviors Accompanied with Gut Microbiota Disturbance.

Major depressive disorder (MDD) is a severe mental disorder with largely unknown mechanisms. Carbonic anhydrases convert CO2 to carbonates and protons, playing roles in various brain functions. Carbonic anhydrase 1 (Car1) is particularly abundant and may be linked to microbiota at interstitial sites. We developed Car1-deficient mice to explore the relationship between depression-like behaviors and gut microbiota. Behavioral tests confirmed depression-like behavior in Car1-/- mice. Fecal samples from Car1-/- and WT mice were collected, and 16S rRNA gene sequencing identified distinct microbiota components between the groups. Car1-/- mice exhibited significantly increased immobility in the tail suspension test (TST) compared to WT mice. The gut microbiota composition differed at the phylum level in p_Bacteroidetes, p_Verrucomicrobia, p_Firmicutes, and p_Tenericutes. At the family level, Car1-/- mice had significantly different abundances in eight microbiota groups compared to WT mice. Car1 deficiency is associated with depressive-like behavior and gut microbiota dysbiosis, potentially linked to depressive-like phenotypes.

Contribution of distinct components in divergent organic amendments to long-term accumulation of soil organic matter in agricultural soils: evidence from thermally assisted hydrolysis and methylation-GC/MS.

Although maintaining/improving soil organic matter (SOM) quantity through utilizing organic amendments (OAs) is a productive practice, information on OA components contributing to long-term SOM accumulation in agricultural soils remains meager. Hence, we examined soil samples from a long-term experiment with different fertilizer managements, including no fertilizer (NF), chemical fertilizer (CF) only (CF), bark compost plus CF (BC + CF), coffee residue compost plus CF (CRC + CF), cattle manure compost plus CF (CMC + CF), and cattle manure compost (CMC) or sewage sludge compost (SSC) alone at a higher application rate. SOM in those samples was physically fractionated into free particulate form (fSOM), free form occluded in aggregates (oSOM), weakly bound form (wSOM), and strongly bound form (sSOM). Analysis of structural components in OAs and SOM fractions using thermally assisted hydrolysis and methylation combined with gas chromatography/mass spectrometry (THM-GC/MS) revealed OA components that have contributed to long-term SOM accumulation in each treatment. The SSC was characterized by higher proportions of short-chain fatty acids (FAs; 50%) and other aliphatic compounds (22%). Correlation analysis suggested that these characteristics may be effective for greater C accumulation in the bulk soil and wSOM fraction. The proportion of lignin-derived phenols, e.g., 3,4-dimethoxybenzaldehyde (Vh) and 1,2-dimethoxy-4-(1,2,3-trimethoxypropyl)benzene, was high in CMC (43%), presumably vital for promoting C accumulations in the oSOM, wSOM, and sSOM fractions in the CMC treatment. The short-chain FAs in CRC and aromatic components in BC are likely important for contributing fSOM accumulation.

Zoonotic outbreak risk prediction with long short-term memory models: a case study with schistosomiasis, echinococcosis, and leptospirosis

BackgroundZoonotic infections, characterized with huge pathogen diversity, wide affecting area and great society harm, have become a major global public health problem. Early and accurate prediction of their outbreaks is crucial for disease control. The aim of this study was to develop zoonotic diseases risk predictive models based on time-series incidence data and three zoonotic diseases in mainland China were employed as cases.MethodsThe incidence data for schistosomiasis, echinococcosis, and leptospirosis were downloaded from the Scientific Data Centre of the National Ministry of Health of China, and were processed by interpolation, dynamic curve reconstruction and time series decomposition. Data were decomposed into three distinct components: the trend component, the seasonal component, and the residual component. The trend component was used as input to construct the Long Short-Term Memory (LSTM) prediction model, while the seasonal component was used in the comparison of the periods and amplitudes. Finaly, the accuracy of the hybrid LSTM prediction model was comprehensive evaluated.ResultsThis study employed trend series of incidence numbers and incidence rates of three zoonotic diseases for modeling. The prediction results of the model showed that the predicted incidence number and incidence rate were very close to the real incidence data. Model evaluation revealed that the prediction error of the hybrid LSTM model was smaller than that of the single LSTM. Thus, these results demonstrate that using trending sequences as input sequences for the model leads to better-fitting predictive models.ConclusionsOur study successfully developed LSTM hybrid models for disease outbreak risk prediction using three zoonotic diseases as case studies. We demonstrate that the LSTM, when combined with time series decomposition, delivers more accurate results compared to conventional LSTM models using the raw data series. Disease outbreak trends can be predicted more accurately using hybrid models.

Early Planet Formation in Embedded Disks (eDisk)

We present the results of the observations made within the ALMA Large Program called Early Planet Formation in Embedded disks of the Class 0 protostar GSS30 IRS3. Our observations included the 1.3 mm continuum with a resolution of 0″.05 (7.8 au) and several molecular species, including 12CO, 13CO, C18O, H2CO, and c-C3H2. The dust continuum analysis unveiled a disk-shaped structure with a major axis of ~200 au. We observed an asymmetry in the minor axis of the continuum emission suggesting that the emission is optically thick and the disk is flared. On the other hand, we identified two prominent bumps along the major axis located at distances of 26 and 50 au from the central protostar. The origin of the bumps remains uncertain and might be an embedded substructure within the disk or the temperature distribution and not the surface density because the continuum emission is optically thick. The 12CO emission reveals a molecular outflow consisting of three distinct components: a collimated component, an intermediate-velocity component exhibiting an hourglass shape, and a wider angle low-velocity component. We associate these components with the coexistence of a jet and a disk wind. The C18O emission traces both a circumstellar disk in Keplerian rotation and the infall of the rotating envelope. We measured a stellar dynamical mass of 0.35 ±0.09 M⊙.