Pieces Of Information Research Articles

Savoirs de référence : quelle transposition dans les contenus d’enseignement-apprentissage du FLE au secondaire algérien ?

Reference Knowledge: What transposition in the teaching-learning contents of FLE to Algerian Secondary School?
 To secure inclusion in FLE (French as a Foreign Language) school textbooks for secondary education, the scholarly knowledge embedded in the textual approach undergoes a dual process of transposition. Initially, this reference knowledge is externally transposed into curriculum material designed for teaching. This external transposition is succeeded by an internal transposition, where the transposed content becomes the subject of learning. This article aims to scrutinize the didactic transposition process of this knowledge. By tracking its integration into the teaching-learning materials of this educational cycle (curricula and textbooks), the study seeks to assess how the knowledge is valued and employed to foster authentic reading experiences. The investigation primarily involves examining the progression of this knowledge through synoptic tables and glossaries (1st, 2nd, and 3rd AS), coupled with an analysis of questions presented in the margins of the assigned texts. This dual approach facilitates a comprehensive understanding of how this knowledge is formulated and legitimized. A secondary objective is to gauge any disparities between the theoretical principles of transposition and their actual application in curriculum and textbook development. The study's findings shed light on the destiny of this reference knowledge and the constraints imposed by certain pieces of information on the construction of text meaning. Some knowledge, owing to its sheer volume, appears to have garnered more assured recognition, tending to stabilize effectively in practice. Conversely, the impact of other knowledge, derived from the same reference theories, remains ambiguous and does not consistently contribute to shaping the meaning of texts. Their current utilization suggests a marked simplification and resultant impoverishment during reading activities, reducing them to mechanical processes focused on a few textual elements. This often occurs without engaging in a critical examination of the textual content and the formulation of interpretations. Consequently, the study advocates a reassessment of the openness championed by this textual approach. It suggests reconsidering the legitimacy granted to various methods of accessing texts, emphasizing the need for a more nuanced and articulated approach.

IL-37 inhibits glycolysis of lung adenocarcinoma by inhibiting the expression of PFKFB3.

Aerobic glycolysis is one of the hallmarks of cancer. The metabolic phenotype of tumor cells is characterized by preferential dependence on glycolysis under aerobic conditions. Recent researchers have provided a piece of information on the effectiveness of targeting glycolysis. Thus, targeted glucose metabolism therapy is still a research hotspot. Interleukin 37 (IL-37) plays an important role in tumor development. Previous studies have found that IL-37 can inhibit the progression of lung adenocarcinoma in a variety of ways. For example, IL-37 can inhibit the migration and invasion of lung adenocarcinoma by inhibiting the interleukin 6(IL-6)/ Signal transducing activator of transcription 3(STAT3) pathway. IL-37 inhibits tumor growth by regulating RNA methylation at the M6A site of lung adenocarcinoma. It has been found that overexpression of IL-37 in macrophages can reverse the Warburg effect. The mechanism of IL-37 on glucose metabolism of tumor cells has not been studied. In research, glucose uptake and lactic acid production were inhibited in A549 cells with recombinant human IL-37(rhIL-37). Also, rhIL-37 inhibited the expression level of PFKFB3 in A549 cells. To verify whether the two aspects of rhIL-37's effects on A549 cells are related, we applied PFK15, a specific inhibitor of PFKFB3, to prove that rhIL-37 inhibits the glucose uptake and lactate production of A549 cells by inhibiting the expression of PFKFB3, and further inhibits the progression of lung adenocarcinoma.

Rights and Safeguarding of Children: A Qualitative Investigation in Arghakhanchi

In Nepal, there are many intricate issues surrounding child abuse and neglect, especially in rural areas. The objective of this research is to give a thorough knowledge of these problems that goes beyond simple information. The study uses a qualitative methodology and was carried out in Arghakhanchi. It involved two focus group discussions (FGDs) and five one-on-one interviews. The study, which takes a rights-based methodology, identifies inadequacies in child protection and takes into account the intersectionality of gender and poverty in rural Nepal. Qualitative information was analyzed by making themes, sub-themes, and categories. The study looks into a number of pieces of information that affect children's rights, including cultural norms, socioeconomic situations, and the efficiency of safety. The content that has been identified is financial resources, social values and beliefs, family dynamics, and service structures. It is found that dysfunctional homes, early pregnancy, school dropouts, exploitation, homelessness, child labor, and physical and emotional abuse are the hindrances to child rights. The findings placed a strong emphasis on community-based insight that can play a major role in defending children's rights. The ramifications go beyond guiding policy and community-based initiatives, with the goal of enhancing the general welfare of children in comparable rural environments in Nepal.

Grouping of Image Patterns Using Inceptionv3 For Face Shape Classification

The human face is an extraordinary part where nearly everybody is not quite the same as each other. One perspective that should be visible plainly is the shape. Face shape grouping can be used for amusement, security, or excellence. One technique that can be utilized in picture grouping is the InceptionV3 model. InceptionV3 is the structure of the Convolutional Neural Network (CNN) created by Google, which can tackle picture examination and item discovery issues. This engineering is utilized to order face shapes into five classes: Round, Heart, Square, Oblong, and Oval. At that point, the Google Pictures dataset goes through the pre-handling stage, and the Shrewd Edge Identifier is applied to each picture. Hair turns into a commotion. Consider recognizing the side of the face because it does not make any difference what the hairdo resembles. What is important is the side of the face. When there is a dataset of elongated class and heart class with a comparable hairdo, InceptionV3 will identify the component and expect the two pieces of information to come from a similar class. The exchange learning strategy is done in preparation for the last Layer of ImageNet's InceptionV3 model. This strategy puts the high precision level with an exactness of 93% preparation and testing between 88% - 98%. InceptionV3 could arrange upwards of 692 from 747 datasets or around 92.65%. The most reduced information class is the heart class, where out of 150 information, InceptionV3 can characterize upwards of 130 information.

Nuclear and Joint Family System: Youth Perspective in Quetta, Balochistan

Every human being is a part of either a joint family or a nuclear family. Both types of families have multiple positive and negative consequences on individuals' lives, as previous literature represented various advantages and disadvantages of joint and nuclear families. According to Khatoon, A. (2008), in a joint family, the children's self-decision is discouraged due to the dominancy of the family head in all their choices. The aim of the present study was to analyze the actual experiences and perceptions of youth regarding joint and nuclear families in Quetta City. Even though the existence of joint and nuclear families has a strong influence on individuals' lives, there is still no scholarly work on them. Henceforth, the study selected a qualitative approach to analyze the experiences of youth (B.S. students) from the University of Balochistan. One Focus Group Discussion(FGDs) and nine interviews were conducted on the basis of data saturation through convenient sampling. Data collection tools included interview guide schedules in order to obtain rich pieces of information for targeted phenomena. Further data was analyzed through a thematic analysis tool. However, the findings of the present study portrayed the experiences and perceptions of respondents belonging to both family systems.

Telemental health services during COVID-19 outbreak in Saudi Arabia

COVID-19, which was declared a pandemic by WHO, brings up many problems. Telemental health comes as a solution to mental problems that are difficult to deal with because of social and physical distancing policies. This study aims to describe the telemental health services in Saudi Arabia during the COVID-19 outbreak. This paper outlines the general approach Saudi Arabia has taken in delivering public mental health services. It describes several key areas of work: medical staff, COVID-19 patients and their families, and individuals who feel anxious due to COVID-19. A description of the program that Saudi Arabia has produced is described, which targeted various groups with various methods. The program from Saudi Arabia may assist in informing public mental health services during COVID-19 or other crises that other government agencies could consider adopting. There is limited published information on this topic in Saudi Arabia. This paper gives a piece of detailed information on mental health services during the COVID-19 outbreak.

Schulz and Mourning. About the Writer’s Second Body

The paper addresses the problem of the mourning cult of Bruno Schulz. The presented approach is critical of its excess in the Schulzean biographical discourses as well as literary and artistic references to his life and work, but it is by no means provocative like that of Janusz Rudnicki, who in the 1990s mocked the “hagiographic” idiom of Jerzy Ficowski. Analyzing archive records and testimonies, the author attempts to reconstruct the circumstances of Schulz’s death in possibly the minutest details. Comparing contradictory pieces of information with the official version made popular by Ficowski, he shows how profoundly it has been marked by the unperformed work of mourning over Schulz and the Holocaust – both the failed work of Ficowski himself and of his postwar correspond- ents whose letters determined the form of The Regions of Great Heresy. Using the idiom of thanatology and taking the role of a necrographer rather than that of a Schulz specialist, the author supposes that the dynamic of loss in the case of Schulz reaches far beyond the act of the writer’s execution on the street to include also the posthumous annihilation of his corpse and grave. This particular kind of necroviolence, perhaps the most hateful from the vantage point of the Jewish tradition and the heritage of Western culture in general, which consists in removing the material remains of the deceased has been called by Holocaust scholars “necrocide.” The absence of material traces and the “mourning objects” that usually help to cure the semiotic crisis which is death makes writers and artists commemorate Schulz with lyrical and artistic epitaphs. Their function is to restore the bodily identity of the dead person by creating his other body, told about and imagined in effigie, existing not beside but instead of the missing “mourning object.” However, the expansion of those elegiac narratives, particularly those produced outside Poland, often results in unintended reductionism. As a human being, writer, and artist, Schulz has been reduced in them to an emblem of the Holocaust, while such obituaries ignore the history of his archive. The other, historical and material body of the writer consists of his manuscripts, drawings, graphic works, and official documents. It exists, drawn and quartered, in archives, to be put up for auction for tens of thousands of dollars, exposed in museums and art galleries, and hoarded by collectors as precious relics.

Responses of the Nigerian low-latitude ionosphere to geomagnetic storms of the ascending and maximum phases of solar cycle 24

This study investigates the responses of the Nigerian ionosphere to thirteen geomagnetic storms that occurred during the ascending and maximum phases of the solar cycle 24. The Total Electron Content (TEC) data obtained from the Nigerian Global Navigation Satellite System (GNSS) network (NIGNET) were used.The ionosphere over Nigeria recorded marked diurnal TEC variations around 1100–1700 LT, with the most significant variations between 1400 and 1600 LT time period, and minimum variation at 0600 LT. Another cogent piece of information from this study is that the values of TEC and ionospheric irregularities at all the five GNSS stations under investigation consistently matched one another. The implication of this is that the values of TEC and irregularities, at both quiet time and storm time, at any location in Nigeria could be used as the representative values at any other locations in the country, particularly in areas where there are no GNSS systems. The equinoctial maxima and June solstice minima effects were clearly observed in our data. Furthermore, ionospheric irregularities occurrences also followed semiannual patterns with two peaks in April and October, and the least occurrences in June, and generally localized around 2000–0100 LT. At daytime during geomagnetic storms in the equatorial/low-latitude regions, Prompt Penetration Electric Field (PPEF) intensified forward plasma fountain effect, while at nighttime, the reversed plasma fountain effect returns plasma backward to cause the Equatorial Ionization Anomaly (EIA) crests to contract, or totally coalesce the EIA structure to form a single strip of plasma density around the equator.

CHRISTIAN FUNERAL RITES AND RAMBU SOLO’ IN TANA TORAJA

This article aimed to elaborate on the death ritual carried out by the society of Tana Toraja. Tana Toraja people, apart from their official affiliation to Christianity, yet practised an indigenous ceremony known as Rambu Solo’ as a part of Aluk Todolo, which is identified as a local belief system of the Tana Toraja. To describe a proper image of both rituals simultaneously, this paper used some methods: structuralism, comparison, and interviewing. The structuralism method of research came more profound into a comprehension of the funerals regarding their prominent position within Tana Toraja people; the comparison method traced both similarities and differences of the ritual based on its theological origin and practises while interviewing was done formulating pieces of information derived from Tana Toraja religious figures and intellectuals, stood for an additional effort enriching available documented sources. This research concluded that the community of Tana Toraja combined their death ritual from both Christianity and Rambu Solo’ basis, making it an inevitably distinguished ritual practise. Considering the traditions’ divergent values, the discussion suggests multiple identity belongings in the local Indonesian context.

Grouping of Image Patterns Using Inceptionv3 For Face Shape Classification

The human face is an extraordinary part where nearly everybody is not quite the same as each other. One perspective that should be visible plainly is the shape. Face shape grouping can be used for amusement, security, or excellence. One technique that can be utilized in picture grouping is the InceptionV3 model. InceptionV3 is the structure of the Convolutional Neural Network (CNN) created by Google, which can tackle picture examination and item discovery issues. This engineering is utilized to order face shapes into five classes: Round, Heart, Square, Oblong, and Oval. At that point, the Google Pictures dataset goes through the pre-handling stage, and the Shrewd Edge Identifier is applied to each picture. Hair turns into a commotion. Consider recognizing the side of the face because it does not make any difference what the hairdo resembles. What is important is the side of the face. When there is a dataset of elongated class and heart class with a comparable hairdo, InceptionV3 will identify the component and expect the two pieces of information to come from a similar class. The exchange learning strategy is done in preparation for the last Layer of ImageNet's InceptionV3 model. This strategy puts the high precision level with an exactness of 93% preparation and testing between 88% - 98%. InceptionV3 could arrange upwards of 692 from 747 datasets or around 92.65%. The most reduced information class is the heart class, where out of 150 information, InceptionV3 can characterize upwards of 130 information.

Age of information is not just a number: Status updates against an eavesdropping node

We consider status updates exchanged between a transmitter and a legitimate receiver, also including an eavesdropper that captures pieces of information. In the absence of such a threat, the connection between the transmitter and the receiver is controlled by the transmitter with the aim of delivering fresh information at the receiver’s side quantified through the age of information. Due to the presence of the eavesdropper, the transmitter may further tune the generation rate of status updates to trade off the ages of information acquired by the eavesdropper and the receiver, respectively. We combine both objectives according to a Bergson social welfare framework and we solve the problem of finding the optimal generation rate as a function of the probability of data capture by the eavesdropper. We consider the age of information minimization task in the context of queuing systems, at first assuming equal service rates at the legitimate receiver and the eavesdropper, then analyzing scenarios where the eavesdropper’s service rate is different. This enables us to derive notable and sometimes counter-intuitive conclusions, and possibly establish an extension of the age of information framework to security aspects from a performance evaluation perspective.

ACCEPTABILITY OF THE CONFIDENCE INTERVENTION: INITIAL RESULTS FROM SATISFACTION SURVEYS AND QUALITATIVE INTERVIEWS

Abstract Evaluation of an intervention’s acceptability with end-users during the pilot stage can identify barriers to future implementation. Determination of acceptability is particularly important for the CONFIDENCE intervention, as there are no rigorously tested financial wellbeing interventions among family caregivers to persons living with dementia. As a part of the CONFIDENCE pilot study, investigators are using survey techniques and qualitative interviews with participants to assess intervention acceptability. Thus far, N=9 caregivers have completed satisfaction surveys and N=3 participated in a Zoom-based, one-on-one interview. Descriptive statistics were applied to evaluate preliminary satisfaction survey data. Interview transcripts underwent preliminary thematic analysis by the first author. The codebook was guided by the Theoretical Framework of Acceptability (TFA), which posits seven domains of acceptability (e.g., self-efficacy). Results suggest overall acceptability of the intervention. All caregivers who completed the satisfaction survey “Agreed” (3; 33%) or “Strongly agreed” (6; 67%) that they would recommend the CONFIDENCE program to other caregivers. Within specific domains, most caregivers found content easy to understand (8; 89%), easy to access (7; 88%), and convenient to attend (7;78%). The thematic analyses reinforced these findings of acceptability. (“I came into the program right when I needed it.”) Four aspects of the TFA emerged: 1) clear understanding of the intervention and how it works, 2) perception that the intervention was effective in achieving its purpose, 3) confidence in the ability to perform the program requirements, and 4) overall positive affective attitude about the intervention experience. “Every piece of information was helpful,” shared one caregiver.

$\mu$-Symmetries and $\mu$-Conservation Laws for The Nonlinear Dispersive Modified Benjamin-Bona-Mahony Equation

This work discusses the $% %TCIMACRO{\U{3bc} }% %BeginExpansion \mu %EndExpansion $-symmetry and conservation law of $% %TCIMACRO{\U{3bc} }% %BeginExpansion \mu %EndExpansion $ procedure for the nonlinear dispersive modified Benjamin-Bona-Mahony equation (NDMBBME). This equation models an approximation for surface long waves in nonlinear dispersive media. It can also describe the hydromagnetic waves in a cold plasma, acoustic waves in inharmonic crystals, and acoustic gravity waves in compressible fluids. First and foremost, we offer some essential pieces of information about the $% %TCIMACRO{\U{3bc} }% %BeginExpansion \mu %EndExpansion $-symmetry and the conservation law of $% %TCIMACRO{\U{3bc} }% %BeginExpansion \mu %EndExpansion $ concepts. In light of such information, $% %TCIMACRO{\U{3bc} }% %BeginExpansion \mu %EndExpansion $-symmetries are found. Using characteristic equations, the NDMBBME is reduced to ordinary differential equations (ODEs). We obtained the exact invariant solutions by solving the nonlinear ODEs. Furthermore, employing the variational problem procedure, we get the Lagrangian and the $% %TCIMACRO{\U{3bc} }% %BeginExpansion \mu %EndExpansion $-conservation laws. The exact solutions and conservation laws are new for the NDMBBME that are not reported by the other studies. We also demonstrate the properties with figures for these solutions.

Integrating Knowledge Graphs into Distribution Grid Decision Support Systems

Distribution grids are complex networks containing multiple pieces of equipment. These components are interconnected, and each of them is described by various attributes. A knowledge graph is an interesting data format that represents pieces of information as nodes and relations between the pieces as edges. In this paper, we describe the proposed vocabulary used to build a distribution system knowledge graph. We identify the concepts used in such graphs and a set of relations to represent links between concepts. Both provide a semantically rich representation of a system. Additionally, we offer a few illustrative examples of how a distributed system knowledge graph can be utilized to gain more insight into the operations of the grid. We show a simplified analysis of how outages can influence customers based on their locations and how adding DERs can influence/change it. These demonstrative use cases show that the graph-based representation of a distribution grid allows for integrating information of different types and how such a repository can be efficiently utilized. Based on the experiments with distribution system knowledge graphs presented in this article, we postulate that graph-based representation enables a novel way of storing information about power grids and facilitates interactive methods for their visualization and analysis.

Principle and applications of near‐infrared imaging for fruit quality assessment—An overview

SummaryThe quality (i.e. the degree of excellence and acceptance to the consumer) evaluation and safety of fruit and other agricultural products is by far the main challenging task in the food industries. Hence, the development of efficient non‐invasive, real‐time and rapid‐quality assessment tools and techniques is the need of the hour. This review paper aims to provide the basic or fundamental knowledge regarding the principle, potential and application of near‐infrared imaging‐based computer vision systems. Non‐invasive technologies, based on optical properties, are the most applicable and important for real‐time quality assessment. Absorption, reflection and scattering before the transmission of incident light are phenomenon properties of biological materials. The principle and application of NIR imaging (i.e. medical imaging) in agriculture for quality detection were studied from various published research papers. Thus, collected pieces of information are summarised, concluded and discussed in a unique way in this report. The NIR spectrum of electromagnetic waves has some basic benefits of light penetration into the upper layer and makes visualisation of the targeted area of objects. Several studies have proved that the non‐destructive system based on visible and non‐visible imaging in combination has a significant role in quality defect detection in fruits. In NIR imaging, the artefacts caused by light illumination can be reduced and it will help in the visualisation of biological tissues and hidden defects just below the peel.

Metode Moss Art Bryophyta untuk Pembelajaran Biologi Sekolah Menengah Pertama

Based on interviews with the Principal of SMP Negeri 2, Sungai Kakap District, Kubu Raya Regency, several pieces of information were obtained that (1) biology teachers in schools have not optimally utilized natural resources in the form of the diversity of Bryophyta around them as learning resources and (2) there is a lack of skills for students in managing the potential of natural resources around them into learning resources and marketable products. The Community Service Program (PkM) aims to train students to utilize the diversity of Bryophyta by making moss art for students of SMP Negeri 2 Sungai Rengas due to its aesthetic value. The PkM activity was conducted through training and assistance in making moss art for students. During the activity, the students who participated in the training seemed very enthusiastic in listening and following the instructions given and also obtained interesting and varied Moss Art designs from each group. The results of Moss Art-making activities can become one of the internalized activities in the development of the Pancasila Student Project at SMP Negeri 2, Sungai Kakap District, Kubu Raya Regency. The implications of this service are 1) making moss art can be used to strengthen the profile of Pancasila students in implementing the independent curriculum in schools, and 2) teachers can integrate Moss Art making into Biology learning on lower-level plant classification material.

Multimodal Emotion Recognition via Convolutional Neural Networks: Comparison of different strategies on two multimodal datasets

The aim of this paper is to investigate emotion recognition using a multimodal approach that exploits convolutional neural networks (CNNs) with multiple input. Multimodal approaches allow different modalities to cooperate in order to achieve generally better performances because different features are extracted from different pieces of information. In this work, the facial frames, the optical flow computed from consecutive facial frames, and the Mel Spectrograms (from the word melody) are extracted from videos and combined together in different ways to understand which modality combination works better. Several experiments are run on the models by first considering one modality at a time so that good accuracy results are found on each modality. Afterward, the models are concatenated to create a final model that allows multiple inputs. For the experiments the datasets used are BAUM-1 ((Bahçeşehir University Multimodal Affective Database - 1) and RAVDESS (Ryerson Audio–Visual Database of Emotional Speech and Song), which both collect two distinguished sets of videos based on the different intensity of the expression, that is acted/strong or spontaneous/normal, providing the representations of the following emotional states that will be taken into consideration: angry, disgust, fearful, happy and sad. The performances of the proposed models are shown through accuracy results and some confusion matrices, demonstrating better accuracy than the compared proposals in the literature. The best accuracy achieved on BAUM-1 dataset is about 95%, while on RAVDESS it is about 95.5%.

Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals

“Welcome to the Machine” is the second song on Pink Floyd's 1975 album “Wish You Were Here”. Today, 49 years later, machine learning is a field of artificial intelligence that has been gaining prominence, especially in order to solve multifactorial problems such as animal adaptation, which involves thermoregulatory, morphological, hematological and immunological responses. For the first time, we seek to trace the adaptive profile, identify biomarkers of animal adaptation to thermal stress and investigate the potential effects underlying the complex relationships of animal adaptation with climatic variables, morphological, thermoregulatory, hematological, immunological and productive responses in the animal model using an intelligent predictive modeling as an auxiliary method. The database contains 7608 pieces of information. All variables were measured simultaneously on the animal. Machine learning techniques and path analyses were used. Our main results were: (i) we identified patterns that hematological variables represent important biomarkers to study animal adaptation; (ii) there are three adaptive profiles with thermoregulatory, hematological and immunological mechanisms varying according to the thickness of the coat; (iii) age, body condition score and lactation order are factors that influence adaptive responses; and (iv) environmental variables and thermal comfort indices influence thermoregulatory responses (primary mechanism), but do not influence hematological and immunological responses, while thermoregulatory variables influence hematological and immunological responses (secondary mechanism). Most of the variables under study and other indicators such as behavioral, biochemical, metabolic and physical related to the adaptive physiology in production animals are already measured by sensors. These variables can be used in a machine intelligence approach for assertive decision-making by farmers, as technology based on sensors in production animals is an innovative approach to maximize animal welfare and provide better alternatives to evaluate the animal response.

MEASURING THE INFLUENCE OF A MOTORWAY CONSTRUCTION ON LAND SURFACE TEMPERATURE USING LANDSAT THERMAL DATA: A CASE STUDY IN THE METROPOLITAN CITY OF MILAN

Abstract. Cities have been identified as a landmark for climate change, being among the direct targets of its negative feedbacks. The combined effect of climate change and rapidly growing urbanization is exacerbating the urban heat island phenomenon in cities worldwide. The availability of multiple geo-data sources including satellite remote sensing products is significantly empowering the investigation of its driving factors. This is a crucial step to implement ad hoc mitigation and adaptation strategies. In view of the above, the goal of this study is to measure the effect of a motorway on the Land Surface Temperature (LST) space-time patterns by leveraging Landsat 5 and 8 thermal data of the period from 2006 to 2022. The study area is around the motorway A58 and connected roads in the Metropolitan City of Milan (northern Italy). LST patterns are investigated along the motorway track and in the neighbouring areas before and after the motorway construction, in both the cold and warm seasons. Results show that the motorway significantly affects the LST distribution during summer with a median increase of 2.5 °C along the road track with respect to the surrounding area. The warming effect is also recorded in the road buffers with decreasing LST with increasing distance from the road. On the contrary, no meaningful variation in terms of LST is measured in winter. These experiments provide insightful measures of the effect of a highway on the local climate conditions in an urban area, thus representing crucial pieces of information for driving evidence-based urban planning activities.

Plutonic Nature of a Transcrustal Magmatic System: Evidence from Ultrahigh Resolution Sr-Disequilibria in Plagioclase Microantecrysts from the Southern Taupo Volcanic Zone, New Zealand

Abstract The residence timescales of antecrystic minerals contribute a key piece of information regarding the petrologic evolution of transcrustal magmatic systems and may be inferred using a combination of observations derived from microanalytical chemistry and diffusion modelling. Here, we present state-of-the-art stacked CMOS-type active pixel sensor (SCAPS) isotopographic images of tephra-hosted plagioclase microantecrysts from Tongariro Volcanic Centre in the southern Taupo Volcanic Zone, New Zealand. These crystals exhibit high-frequency Sr and anorthite zonation at sub-micron spatial resolution. We also find that all crystals display high-frequency intracrystalline Sr chemical potential variations, indicating that they have not resided at magmatic temperature for diffusive relaxation to advance significantly. To quantify crystal residence times at the well-constrained magmatic temperatures of these tephras, we first forward-modeled intracrystalline Sr diffusion over time using numerical methods. Results were then analyzed using novel spatial Fourier-transform techniques developed to understand the systematics the diffusive decay of Sr disequilibria in the spatial frequency domain. This ultimately permitted the estimation of Sr concentration profiles at crystal formation, prior to uptake into the carrier melt at the onset of eruption. Our data imply residence times of hours to days for the studied microantecrysts. This is inconsistent with long antecryst residence times in magmatic mushes at elevated temperatures, pointing instead to a cool plutonic nature of the magmatic plumbing system beneath the southern Taupo Volcanic Zone.