Environmental Setting Research Articles

Implementasi Model Beyond Center and Circle Time (BCCT) Dalam Pembelajaran Berhitung Permulaan Di PAUD Terpadu Biruni Sungailiat Kabupaten Bangka

BCCT is a learning model based on a center through a play while learning approach. This study aims to determine the pattern of BCCT, its implementation and factors that influence the implementation process. This research is a qualitative research. The data collection used are observation, interviews and documentation. Data analisyis was carried out through 3 stages, namely reducing data or sorting out data that is considered important and discarding data that is not needed, then presenting the data that has been selected so that conclusion can be drawn. The results showed that: the BCCT pattern used in the blueni integrated PAUD is almost in accordance with that set by the ministry of national education, while the process of implementing BCCT in numeracy learning is starting from the environmental setting, welcomimg children, morning activities, opening games, eating together, and core activities consisting of: the environmental footing, the footing before playing, the footing while playing and the footing after playing. Then ending with closing.

Composite microbialites: Thrombolite, dendrolite, and stromatolite associations in a modern environment, Pozo Bravo lake, Salar de Antofalla, Catamarca Puna, Argentina

ABSTRACT Pozo Bravo is a high-altitude Andean lake that harbors modern microbialites thriving in hypersaline conditions in the Salar de Antofalla, one of the driest sites on Earth and located in the Puna region of Catamarca, northwest Argentine. Due to the lake physiography, microbialites are restricted to a narrow belt following Pozo Bravo lake variations. Microbialites exhibit a wide range of external morphologies including domal, discoidal, tabular, and horseshoe-like bioherms which vary considerably in size, as well as large biostromal terraces. As documented by other studies on modern microbialites, external morphology appears to be mainly the product of the environmental setting. In Pozo Bravo lake, high evaporation rates and hypersalinity (driven by high temperature and strong winds), water-level fluctuations, and lake-bottom topography are major controlling factors. The distinctive feature of Pozo Bravo microbialites is their internal structure, showing a gradual transition from a thrombolitic core to dendrolitic structures and to a sharply overlying stromatolitic layer within a single microbialite. We suggest that these various microbialite textures represent a gradual change within an environmental gradient based on lake-level variations, and the influence of these environmental factors on biological activity, mainly by cyanobacteria and diatoms. The study of this site is particularly relevant given that it represents an active system where progressive changes in microbialite type (from thrombolites to dendrolites and stromatolites) are recorded, providing an excellent natural laboratory to study these textural changes from a mechanistic perspective, and it may provide insights for better understanding of the microbialite geological record. In addition, given that these systems are threatened by human activities (mining of lithium-rich brines), its study and preservation are necessary.

The Effect of Test Setting Upon Test-Retest Reliability of ImPACT Baseline Tests in High School Athletes

To determine the test-retest reliability of ImPACT baseline tests across different schools within the same larger concussion management program. ImPACT is the most widely used concussion management cognitive testing tool. Baseline testing is often required for high school sports participation. Typically, testing occurs every 2 years based on test-retest reliability statistics in previous studies. Demographic and environmental factors, such as age, sex, number of participants, and supervision, all impact baseline performance. Studies to date have not examined test-retest differences across testing sites, such as between school differences. Cross-sectional retrospective design. Valid baseline tests from high school athletes over a 2-year interval were included. Participants who experienced concussions prior to or between tests were excluded. A total of 979 student athletes from 5 schools were included. The Intra-class correlations were determined over a 2-year period for each ImPACT composite score and school. ICC estimates averaged between schools reflected good reliability for visual-motor speed (0.833), visual memory (0.673) and reaction time (0.615) over the two-year period. Verbal memory (0.586) and impulse control (0.556) were less reliable. Between schools a greater range of composite reliability was observed for reaction time (0.484-0.730) and impulse control (0.461-0.655) compared to verbal memory (0.534-0.637), visual memory (0.61-0.719), and visual-motor speed (0.769-914). As previously established, reliability of ImPACT baselines vary by composite. This study revealed that reliability also varies by setting, as different schools yielded different ICCs. Consistent with the literature, the most reliable measure was visual-motor speed. The greatest difference in reliability between schools was for reaction time. These results suggest that test setting and environment affect reliability of ImPACT baseline scores, with varying effects per composite. Attention must be paid to environmental setting to improve reliability of baseline cognitive test performance to maximize athlete safety.

Stable Isotope Analysis of Mammalian Enamel From the Early Pleistocene Site of Madigou, Nihewan Basin: Implications for Reconstructing Hominin Paleoenvironmental Adaptations in North China

The reconstruction of environmental and climatic changes in the Pleistocene is an essential contribution to our understanding of human evolutionary and behavioral adaptations. Well preserved fluvio-lacustrine sediments at Nihewan basin have yielded a rich record of Early Pleistocene Paleolithic sites and mammalian fossils which provide a unique opportunity for exploring hominin behavior and paleoecology in North China. Taxonomic studies of mammalian fossils have provided important clues to the general environmental setting and landscapes of Early Pleistocene humans in the fluvio-lacustrine basin of Nihewan, but little is known about their isotopic signatures. In this paper, mammal teeth species at the Madigou archaeological site (ca. 1.2 Ma) were selected for bulk and sequential enamel stable isotope (C, O) analysis. Results show a variety of ecological environments, including grassland and sparse forest landscapes, and distinct patterns across taxa. C3-C4 mixed vegetation predominated, but C4 vegetation was also relevant at times. Madigou early humans likely experienced cold/warm or dry/wet fluctuations in this northern China basin. We hypothesize that the environmental fluctuations and diversified landscapes may have driven flexibility in various aspects of early human technological behaviors, and allowed hominins to face the environmental challenges of northern latitudes after the initial expansion from Africa into East Asia at the onset of the Middle Pleistocene Climate Transition.

Flood Susceptibility Modeling in a Subtropical Humid Low-Relief Alluvial Plain Environment: Application of Novel Ensemble Machine Learning Approach

This study has developed a new ensemble model and tested another ensemble model for flood susceptibility mapping in the Middle Ganga Plain (MGP). The results of these two models have been quantitatively compared for performance analysis in zoning flood susceptible areas of low altitudinal range, humid subtropical fluvial floodplain environment of the Middle Ganga Plain (MGP). This part of the MGP, which is in the central Ganga River Basin (GRB), is experiencing worse floods in the changing climatic scenario causing an increased level of loss of life and property. The MGP experiencing monsoonal subtropical humid climate, active tectonics induced ground subsidence, increasing population, and shifting landuse/landcover trends and pattern, is the best natural laboratory to test all the susceptibility prediction genre of models to achieve the choice of best performing model with the constant number of input parameters for this type of topoclimatic environmental setting. This will help in achieving the goal of model universality, i.e., finding out the best performing susceptibility prediction model for this type of topoclimatic setting with the similar number and type of input variables. Based on the highly accurate flood inventory and using 12 flood predictors (FPs) (selected using field experience of the study area and literature survey), two machine learning (ML) ensemble models developed by bagging frequency ratio (FR) and evidential belief function (EBF) with classification and regression tree (CART), CART-FR and CART-EBF, were applied for flood susceptibility zonation mapping. Flood and non-flood points randomly generated using flood inventory have been apportioned in 70:30 ratio for training and validation of the ensembles. Based on the evaluation performance using threshold-independent evaluation statistic, area under receiver operating characteristic (AUROC) curve, 14 threshold-dependent evaluation metrices, and seed cell area index (SCAI) meant for assessing different aspects of ensembles, the study suggests that CART-EBF (AUCSR = 0.843; AUCPR = 0.819) was a better performant than CART-FR (AUCSR = 0.828; AUCPR = 0.802). The variability in performances of these novel-advanced ensembles and their comparison with results of other published models espouse the need of testing these as well as other genres of susceptibility models in other topoclimatic environments also. Results of this study are important for natural hazard managers and can be used to compute the damages through risk analysis.

Resting state network connectivity is attenuated by fMRI acoustic noise

IntroductionDuring the past decades there has been an increasing interest in tracking brain network fluctuations in health and disease by means of resting state functional magnetic resonance imaging (rs-fMRI). Rs-fMRI however does not provide the ideal environmental setting, as participants are continuously exposed to noise generated by MRI coils during acquisition of Echo Planar Imaging (EPI). We investigated the effect of EPI noise on resting state activity and connectivity using magnetoencephalography (MEG), by reproducing the acoustic characteristics of rs-fMRI environment during the recordings. As compared to fMRI, MEG has little sensitivity to brain activity generated in deep brain structures, but has the advantage to capture both the dynamic of cortical magnetic oscillations with high temporal resolution and the slow magnetic fluctuations highly correlated with BOLD signal. MethodsThirty healthy subjects were enrolled in a counterbalanced design study including three conditions: a) silent resting state (Silence), b) resting state upon EPI noise (fMRI), and c) resting state upon white noise (White). White noise was employed to test the specificity of fMRI noise effect. The amplitude envelope correlation (AEC) in alpha band measured the connectivity of seven Resting State Networks (RSN) of interest (default mode network, dorsal attention network, language, left and right auditory and left and right sensory-motor). Vigilance dynamic was estimated from power spectral activity. ResultsfMRI and White acoustic noise consistently reduced connectivity of cortical networks. The effects were widespread, but noise and network specificities were also present. For fMRI noise, decreased connectivity was found in the right auditory and sensory-motor networks. Progressive increase of slow theta-delta activity related to drowsiness was found in all conditions, but was significantly higher for fMRI . Theta-delta significantly and positively correlated with variations of cortical connectivity. Discussionrs-fMRI connectivity is biased by unavoidable environmental factors during scanning, which warrant more careful control and improved experimental designs. MEG is free from acoustic noise and allows a sensitive estimation of resting state connectivity in cortical areas. Although underutilized, MEG could overcome issues related to noise during fMRI, in particular when investigation of motor and auditory networks is needed.

Debunking the myth of 'Blue Mondays': No evidence of affect drop after taking clinical MDMA.

Incorporating 3,4-methylenedioxymethamphetamine (MDMA) as an adjunct to psychotherapy has shown promise in recent years for treating various mental health conditions, particularly those involving trauma. However, concerns about declines in mood and cognition during the days following dosing, also known as 'Blue Mondays', have been raised as limitations to its clinical use. Although these changes have been well-documented among recreational users, there are critical confounds to these reports that limit generalizability to clinically administered MDMA. Here, we aimed to evaluate the evidence basis for the negative side effects associated with MDMA as well as inform our understanding of the drug's post-acute effects in a clinical context with an open-label study. The current open-label study examined MDMA therapy for alcohol use disorder (AUD; N = 14) and measured mood, sleep quality, illicit MDMA consumption and anecdotal reports after the acute drug effects had worn off. Participants maintained a positive mood during the week following drug administration in a clinical context. Relative to baseline, self-reported sleep quality improved at the 3- and 6-month follow-ups. Finally, no participants reported using or desiring to use illicit MDMA, and the anecdotal reports indicated that they perceived the treatment favourably. The results support the overall safety and tolerability of clinically administered MDMA and, importantly, suggest that the 'come downs' previously associated with the substance may be explained by confounds in research relating to the illicit sourcing of the drug and specific environmental setting for recreational consumption.

Diazotrophic activity and denitrification in two long-term chronosequences of maritime Antarctica

The main goals of this study were to identify whether key processes involved in microbial soil nitrogen transformations, such as diazotrophic activity and denitrification, the chemical properties of limiting elements in the soil, and microbial community structure, differ in the different successional stages of two long term chronosequences in maritime Antarctica. Moreover, we expect the rates of diazotrophic activity and denitrification to be stimulated by increases in air temperature and moisture. To answer these questions, we selected three stages in the succession (early, mid and late) in each of two well established chronosequences: three raised beaches in Ardley Island; and the Barton Peninsula, which includes two cosmogenically dated sites and the forefield of the Fourcade glacier. In the Ardley chronosequence, higher diazotrophic activity was found in the older successional stages, concomitant with an increase in the abundance of Cyanobacteria. In the Barton chronosequence, Cyanobacteria were only present and abundant (Microcoleus) in the early successional stage, coinciding with the highest diazotrophic activity. Denitrification in the Barton chronosequence tended to be highest at the mid successional sites, associated with the highest abundance of Rhodanobacter. In the Ardley chronosequence, the lowest abundance of Rhodanobacter was linked to lower denitrification rates in the mid successional stage. In the Ardley chronosequence, significant positive effects of passive warming and water addition on diazotrophic activity were detected in the first and the second years of the study respectively. In the Barton chronosequence on the other hand, there was no response to either passive warming or water addition, probably a manifestation of the higher nutrient limitation in this site. Denitrification showed no response to either warming or water addition. Thus, the response of microbial nitrogen transformations to global change is highly dependent on the environmental setting, such as soil origin, age and climate regime.

Water dynamics and blue-green infrastructure (BGI): Towards risk management and strategic spatial planning guidelines

This work aims to demonstrate the importance of concretely defining blue-green infrastructure (BGI) in non-consolidated urban areas as an active element to achieve integrated risk management and strategic spatial planning guidelines to structure future urban development. BGI is seen as a city's structuring element more than an element integrated into a city. For this, a method is proposed and a demonstration of its application is conducted for the city of Paraty, in Brazil. It starts with a diagnosis of the current situation, maps the conflicts experienced by the city regarding water dynamics, and establishes cause-effect relations. Then, the past reference situation and the future trend situation are evaluated, and, with lessons learned, a future urban occupation alternative is defined, using BGI and river restoration approaches. Finally, the two future situations are compared in terms of environmental enhancement. The analyses are supported by mathematical modelling and a multicriteria index (Urban River Restoration Index). The results indicate that the future trend situation worsens flood risks, while the BGI proposal reduces them, besides improving the watersheds environmental quality and setting strategic spatial planning guidelines. Thus, understanding the role of water in a city is crucial to define a BGI approach focused on delivering urban water management solutions and strategically structuring future urban development, being the water a structural part of the city itself.

Reflection on the Professional Development of Early Childhood Education and Care Teachers in Japan Based on Children\u2019s Voices

Using action research, this study examined the professional development of teachers through the reflections that kindergarten teachers obtain from children’s voices and the relevance between the working environment and teachers’ reflection at teacher conferences in Japan. Four teachers participated in the study. Data sources included teachers’ perspectives on imitation paper, teachers’ thoughts and reflections at conferences and during interviews, visual material, and narrative observations of children’s play. Children’s voices stimulate teachers’ reflection and provide deeper insights about diversity among children. The discussions at the conference about children’s voices showed teachers’ learning in four aspects: beliefs of play, environmental setting, understanding of children, and child–teacher relationships. In the act of listening to children’s voices, each teacher was influenced by their job positions and by the relationship within teacher groups in reflection at teacher conferences. Teachers appeared to understand each other’s beliefs by engaging in regular dialogue at conferences. This study contributed to the improvement of in-service training methods in early childhood education and care.

How and to What Degree Does Physical Structure Differ Between Natural and Artificial Habitats? A Multi-Scale Assessment in Marine Intertidal Systems

Marine infrastructures are increasing, generating a variety of impacts and introducing artificial habitats which have low ecological value and support assemblages that differ significantly from those on natural rocky coasts. While in the past there was little ecological consideration as to how artificial structures were built, now the trend is to look for “greener” designs inspired by or mimicking nature. These greening efforts have had a strong focus on enhancing physical habitat structure to support more diverse assemblages, driven by the untested assumption that artificial habitats lack the physical structure proper to natural habitats. We tested this assumption by comparing five descriptors of physical structure (inclination; exposure; roughness; abundance, and diversity of surface morphological microelements) across a combination of natural and artificial habitats of regular and irregular morphologies (seawalls = artificial regular; cliffs = natural regular; breakwaters = artificial, irregular; and boulder fields = natural irregular) in the North Adriatic Sea. Most structural descriptors were similar between artificial and natural habitats. Only inclination was consistently steeper in the artificial than in the natural habitats. Other minor differences in roughness or in the abundance of some surface microelements were related to the general morphology (regular or irregular) of the habitat rather than to its artificial or natural identity. The outcomes challenge the widespread assumption that artificial habitats lack the physical structure proper to natural habitats and stimulate renewed consideration about other structural and non-structural elements that could enhance the performance and sustainability of artificial marine structures, such as construction material, environmental setting or maintenance. They also encourage a wider reflection about what makes an artificial building surface “greener”: structural complexity is an important ecological parameter, and its deliberate increase will lead to responses in the biota, however, this may not necessarily match “more natural” conditions.

Towards soft real-time fault diagnosis for edge devices in industrial IoT using deep domain adaptation training strategy

Artificial intelligence and industrial internet of things (IIoT) have been rejuvenating the fault diagnosis systems in Industry 4.0 for avoiding major financial losses caused by faults in rotating machines. Meanwhile, the diagnostic systems are provided with a number of sensory inputs that introduce variations in input space which causes difficulty for the algorithms in edge devices. This issue is generally dealt with bi-view cross-domain learning approach. We propose a soft real-time fault diagnosis system for edge devices using domain adaptation training strategy. The investigation is carried out using deep learning models that can learn representations irrespective of input dimensions. A comparative analysis is performed on a publicly available dataset to evaluate the efficacy of the proposed approach which achieved accuracy of 88.08%. The experimental results show that our method using long short-term memory network achieves the best results for the bearing fault detection in an IIoT environmental setting.

Prediction of Smoking Risk From Repeated Sampling of Environmental Images: Model Validation.

BackgroundViewing their habitual smoking environments increases smokers’ craving and smoking behaviors in laboratory settings. A deep learning approach can differentiate between habitual smoking versus nonsmoking environments, suggesting that it may be possible to predict environment-associated smoking risk from continuously acquired images of smokers’ daily environments.ObjectiveIn this study, we aim to predict environment-associated risk from continuously acquired images of smokers’ daily environments. We also aim to understand how model performance varies by location type, as reported by participants.MethodsSmokers from Durham, North Carolina and surrounding areas completed ecological momentary assessments both immediately after smoking and at randomly selected times throughout the day for 2 weeks. At each assessment, participants took a picture of their current environment and completed a questionnaire on smoking, craving, and the environmental setting. A convolutional neural network–based model was trained to predict smoking, craving, whether smoking was permitted in the current environment and whether the participant was outside based on images of participants’ daily environments, the time since their last cigarette, and baseline data on daily smoking habits. Prediction performance, quantified using the area under the receiver operating characteristic curve (AUC) and average precision (AP), was assessed for out-of-sample prediction as well as personalized models trained on images from days 1 to 10. The models were optimized for mobile devices and implemented as a smartphone app.ResultsA total of 48 participants completed the study, and 8008 images were acquired. The personalized models were highly effective in predicting smoking risk (AUC=0.827; AP=0.882), craving (AUC=0.837; AP=0.798), whether smoking was permitted in the current environment (AUC=0.932; AP=0.981), and whether the participant was outside (AUC=0.977; AP=0.956). The out-of-sample models were also effective in predicting smoking risk (AUC=0.723; AP=0.785), whether smoking was permitted in the current environment (AUC=0.815; AP=0.937), and whether the participant was outside (AUC=0.949; AP=0.922); however, they were not effective in predicting craving (AUC=0.522; AP=0.427). Omitting image features reduced AUC by over 0.1 when predicting all outcomes except craving. Prediction of smoking was more effective for participants whose self-reported location type was more variable (Spearman ρ=0.48; P=.001).ConclusionsImages of daily environments can be used to effectively predict smoking risk. Model personalization, achieved by incorporating information about daily smoking habits and training on participant-specific images, further improves prediction performance. Environment-associated smoking risk can be assessed in real time on a mobile device and can be incorporated into device-based smoking cessation interventions.

The influence of intrinsic motivational forces on consumers' product purchase intentions

Food is perceived as the top most surviving need of humans since their existence. With the passage of time, this need has been further revolutionized with added requirements of safety and hygienic factors. Halal food having both of these factors, has gained popularity among both Muslims and non-Muslims consumers. Despite of ever increasing trend of Halal food consumption, the research to uncap this amazingly growing sector is still in its infancy stages. Interestingly, the role of intrinsic motivation in shaping up intention of the consumers for Halal food purchase is still not well explored. This study has addressed this untapped area to build better understanding using Self-Determination Theory (SDT), from the domain of psychology which addresses the psychological needs of autonomy, competence and relatedness. SDT in this research with well-designed conceptual framework tried to highlight the role of intrinsic motivation for Halal food purchase intention. Whereby, the freedom to choose a product is referred as individuals' autonomy, while individuals' knowledge and the capability to buy Halal food product is termed as competence. Whereas, relatedness precisely talks about the social bonding of individuals through having better feelings and care for others in any environmental setting. Henceforth, first time ever, SDT has been used to explore the impact of intrinsic motivation on Halal food purchase intentions, whereby anatomy, competence, and relatedness is thoroughly providing an opportunity to analyze the shaped up individuals' intentions and behaviors, respectively. Lastly, the important implications and future recommendations are also discussed in this study.

Les relations entre l’Extrême-Orient eurasien et le nord de l’archipel du Japon au Paléolithique

The aim of this paper is to present a review of current knowledge concerning the Paleolithic records and the related natural environmental setting in the Eurasian Far East and Hokkaido, located at the northern tip of the Japanese islands. At present, it is quite difficult to answer whether the archaic humans dispersed from Siberia and northern China across the Amur River basin and Sakhalin into Hokkaido or not, because there is no reliable evidence indicating the Lower and Middle Paleolithic in Hokkaido. We demonstrate that the Upper Paleolithic assemblages in Hokkaido can be divided into at least three phases such as the early Upper Paleolithic (EUP), the middle Upper Paleolithic (MUP), and the late Upper Paleolithic (LUP), based on a synthesis of available radiocarbon dates and the techno-typological characteristics of lithic assemblages. It is reasonable to suggest that the lithic assemblage from the Rubenosawa site, located in northern Hokkaido, and some of lithic assemblages at the transition from the Middle to Upper Paleolithic or the initial Upper Paleolithic (IUP) in Siberia share the relative similarities of techno-typological attributes in the reduction sequences, although the reliable radiocarbon dates have not been obtained from the Rubenosawa site unfortunately. Also, the emergence of microblade technology at the MUP in Hokkaido, such as represented by the microblade assemblage recovered from the Kashiwadai-1 site, central Hokkaido, indicates a close interaction between the Eurasian Far East and Hokkaido. As a result, the comparison of archaeological evidence in these regions provides us with a suggestion that the appearance and development of the Upper Paleolithic assemblages in Hokkaido were sometimes associated with the human dispersions and the mutual contacts crossing between the Eurasian Far East and Hokkaido.

Feather traits in four southern populations of the Eurasian blackcapSylvia atricapilla: do altitudinal movements explain the differences?

Moult of birds is shaped by environmental and genetic drivers whose relative contribution to the structure of feathers may differ within and between populations. In this study, we compare some traits of tail feathers (growth bars, mass, rachis width and barb length) between four populations of the Eurasian blackcapSylvia atricapillabreeding at different elevations within the southwestern Palaearctic. We tested if these traits were related to the primary productivity of habitats (a surrogate of food availability) or were better explained as an adaptation to altitudinal movements. The distribution of primary productivity was positively related to blackcap abundance suggesting that the species tracked the most productive areas to breed. In this environmental setting, wing morphology (wing length, concavity and pointedness) suggested that lowland blackcaps were sedentary while blackcaps from highland areas were involved in altitudinal movements. The feathers of blackcaps inhabiting the highlands showed wider growth bars and rachis than those of the most productive lowland areas but did not differ in feather mass and barb length. Fast feather growth has been related to time constraints to moult and wider rachis to improve flight efficiency in migratory birds. Our results therefore suggest that differences in feather characteristics between southern populations of the Eurasian blackcap are better interpreted as an adaptive response to altitudinal migration than as a consequence of regional food availability.

Neolithic cultural sites and extreme climate related channel avulsion: Evidence from the Vaigai River Basin, southern India

We document evidence for the role of fluvial dynamics-stream channel avulsion and flooding, tectonics and climatic conditions on the occurrence, shifting and burial of ancient cultural sites in the Vaigai River Basin in southern India. Systematic regional mapping, geophysical investigations and archaeological excavations in the flood plains of the Vaigai River led to the unearthing of an ancient culture that thrived at least since 752 BCE (2435 ± 34 BP). Evidence for early human activities include sites of ancient and now buried industries that were manufacturing steel, glass bead, dye, gold jewelry and earthenware, in addition to dwelling-habitation, sites of religious sacrificial ceremonies, and places of worship, and burial. These information together with the occurrences of microlithic age stone tools in the vicinity led to the proposition of continued habitation of the Vaigai River Basin until today. Radiometric dating shows oldest age of 2435 ± 34 BP (752 BCE) obtained at 2.5 m depth in a pit excavated at Keezhadi, a location situated far from the present day channel course whereas the youngest age of 689 ± 24 BP is obtained at Agaram, a location situated nearest to the present day channel course. The bone fragments were dated as 1115 ± 39 BP (778 CE – 1016 CE) and 1229 ± 30 BP (689 CE – 883 CE). The organic carbon/peat layers recovered between flood deposits at the upper reaches of the Vaigai River are dated as 830 ± 30 BP and 1250 ± 30 BP. The natural levee deposits show evidences of habitation-related disturbances in the internal sedimentary structure, texture and packing. In addition to occurrences of hearth etc., recurrences of overbank-channel deposits over natural levee-habitation surfaces indicate habitation-colonization over relatively highgrounds along river bank, followed by marooning/burial under overbank-channel deposit and abandonment of habitation site and/or shifting of habitat. The same sequence of events occurred again, showing two habitation surfaces that are buried under surface currently. Together with facies characteristics and other artifact occurrences, the ages obtained in our study indicate shifting of the Vaigai River from prior to 2435 BP and colonization of ancient population, which might have been affected by a catastrophic flood and stream avulsion at about 1250–830 BP. These resulted in the ancient habitation getting marooned, industries and other structural infrastructure destroyed, and were transported and deposited as interbeds in flood deposits. Following a reduction in the stream energy, the point bar-natural levee environmental setting paved way for the deposition of organic carbon layer at Agaram at about 690 BP. This was followed by lateral shifting of the channel from Agaram towards the present-day course.

Risk quantification for SARS-CoV-2 infection through airborne transmission in university settings

The COVID-19 pandemic has significantly impacted learning as many institutions switched to remote or hybrid instruction. An in-depth assessment of the risk of infection that considers environmental setting and mitigation strategies is needed to make safe and informed decisions regarding reopening university spaces. A quantitative model of infection probability that accounts for space-specific parameters is presented to enable assessment of the risk in reopening university spaces at given densities. The model uses the fraction of the campus population that are viral shedders, room capacity, face covering filtration efficiency, air exchange rate, room volume, and time spent in the space as parameters to calculate infection probabilities in teaching spaces, dining halls, dorms, and shared bathrooms. The model readily calculates infection probabilities in various university spaces, with face covering filtration efficiency and air exchange rate being among the dominant variables. When applied to university spaces, this model demonstrated that, under specific conditions that are feasible to implement, in-person classes could be held in large lecture halls with an infection risk over the semester <1%. Meal pick-ups from dining halls and usage of shared bathrooms in residential dormitories among small groups of students could also be accomplished with low risk. The results of applying this model to spaces at Harvard University (Cambridge and Allston campuses) and Stanford University are reported. Finally, a user-friendly web application was developed using this model to calculate infection probability following input of space-specific variables. The successful development of a quantitative model and its implementation through a web application may facilitate accurate assessments of infection risk in university spaces. However, since this model is thus far unvalidated, validation using infection rate and contact tracing data from university campuses will be crucial as such data becomes available at larger scales. In light of the impact of the COVID-19 pandemic on universities, this tool could provide crucial insight to students, faculty, and university officials in making informed decisions.

Habitat Complexity Affects the Structure but Not the Diversity of Sessile Communities on Tropical Coastal Infrastructure

Increasing human population, urbanisation, and climate change have resulted in the proliferation of hard coastal infrastructure such as seawalls and breakwaters. There is increasing impetus to create multifunctional coastal defence structures with the primary function of protecting people and property in addition to providing habitat for marine organisms through eco-engineering - a nature-based solutions approach. In this study, the independent and synergistic effects of physical complexity and seeding with native oysters in promoting diversity and abundances of sessile organisms were assessed at two locations on Penang Island, Malaysia. Concrete tiles with varying physical and biological complexity (flat, 2.5 cm ridges and crevices, and 5 cm ridges and crevices that were seeded or unseeded with oysters) were deployed and monitored over 12 months. The survival of the seeded oysters was not correlated with physical complexity. The addition of physical and biological complexity interacted to promote distinct community assemblages, but did not consistently increase the richness, diversity, or abundances of sessile organisms through time. These results indicate that complexity, whether physical or biological, is only one of many influences on biodiversity on coastal infrastructure. Eco-engineering interventions that have been reported to be effective in other regions may not work as effectively in others due to the highly dynamic conditions in coastal environment. Thus, it is important that other factors such as the local species pools, environmental setting (e.g., wave action), biological factors (e.g., predators), and anthropogenic stressors (e.g., pollution) should also be considered when designing habitat enhancements. Such factors acting individually or synergistically could potentially affect the outcomes of any planned eco-engineering interventions.

Mangrove health index distribution on the restored post-tsunami mangrove area in Biak Island, Indonesia

Research Centre for Oceanography has launched and published a single metric for assessing mangrove health based on stand structure variables since October 2020. A spatial analysis study was conducted to implement the MHI formula in a post-tsunami area in a Pacific-edge island in Biak-Papua which has been rehabilitated since 2017, especially in Tanjung Barari lagoon. The study was aimed to analyze the recent MHI value based on field data collection and to interpolate the value in the entire mangrove area. We compared the MHI distribution along the study area in 2015 and 2020. Sentinel 2 imageries were used as primary data which were preprocessed for extracting the mangrove area in the lagoon area. A multiple vegetation indices relationship which was consisted of NBR, GCI, SIPI, and ARVI, was applied on each observation period for MHI distribution estimation. The interpretation of mangrove health was divided into three categories such as poor, moderate, and excellent. This study found that the mangroves area in the lagoon was declining at 33.53 ha during periods. Based on MHI value, mangrove was dominantly at the moderate level. In addition, moderate and excellent mangrove areas were increasing during observation. The poor mangrove area was decreased due to loss of the dieback mangrove, seedling natural settlement, and rehabilitation activities. We identified as many as 144.39 ha of the lagoon area in 2020’s imagery which was potential for the future rehabilitation area. Even though, the area needed to be confirmed related to environmental setting and land tenure issue.