VILLAGE ATTACHMENT For rural agriculture PPT.pptx
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- Cropping is based on the seasons with wheat and paddy as primary crops. Students also visited local farms and educational institutions to learn about agriculture.
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EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless ReproducibilityUniversity of Rennes, INSA Rennes, Inria/IRISA, CNRS
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
3D Particle-In-Cell (PIC) algorithm,
Plasma expansion in the dipole magnetic field.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...Abdul Wali Khan University Mardan,kP,Pakistan
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skillsCytokines and their role in immune regulation.pptx
This presentation covers the content and information on "Cytokines " and their role in immune regulation .
Equivariant neural networks and representation theory
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
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EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
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aziz sancar nobel prize winner: from mardin to nobel
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Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
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Basics of crystallography, crystal systems, classes and different forms
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Cytokines and their role in immune regulation.pptx
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VILLAGE ATTACHMENT For rural agriculture PPT.pptx
- 1. RURAL AGRICULTURAL WORK EXPERIENCE (RAWE) VILLAGE ATTACHMENT KRISHI VIGYAN KENDRA DHAKRANI NAME : MOIBUNGKHONGBAM MONA CHANU ROLL NO : 20202102014 ENROLLMENT NO : G202020067 BSc. (Hons) Agriculture, 2020 -2024
- 2. INTRODUCTION ALLOTED VILLAGE :- SHANKARPUR TEHSIL :- VIKAS NAGAR BLOCK :- SAHASPUR DISTRICT :- DEHRADUN STATE :- UTTARAKHAND PIN CODE :- 248197 POPULATION :- 8500 ( According to 2011 survey report )
- 3. REPORT BUILDING WITH THE VILLAGERS I’m assigned to a village i.e. Shankarpur. That village was almost 7.2 km from my residence. I introduced myself as 4th yr Bsc. Agriculture students from Maya Group Of College, Selaqui and describe the reason of our visit. I put forward numerous question regarding the crop grown, standard of living of the people, available resources, problems and opportunities. PROBLEM STATEMENT Difficulty to understand climatic conditions due to strong climatic changes. Farmers unable to understand which crop to select by which the production will improve. Lack of marketing and storage facilities. Inadequate infrastructure and poor hygiene for livestock.
- 4. BACKGROUND INFORMATION OF HOST FARMER 1) NAME: Binod Devi MAIN OCCUPATION: SHOPKEEPER FAMILY MEMBER: 6 TOTAL LAND: 10 Bigha (rent – Rs 12000 per yr) IRRIGATION SOURCE: Govt. tubewell COW: 4 CROPS: rice, maize, wheat, berseem INCOME: Rs 420000 annually
- 5. 2) FARMER NAME : ISHA GARWAL MAIN OCCUPATION : Private job FAMILY MEMBER: 6 TOTAL LAND: 2 Bigha IRRIGATION SOURCE: Well COWS: 2 (1 milch, 1 dry) CROPS: Berseem INCOME : Rs 180000 annually
- 6. 3) NAME: SULTAN SINGH MAIN OCCUPATION: Security guard FAMILY MEMBER: 3 TOTAL LAND: 2 Bigha IRRIGATION SOURCE: Tubewell COWS: 0 CROPS: Maize, Wheat INCOME: Rs 96000 annually
- 7. 4) NAME: REKHA DEVI MAIN OCCUPATION: FARMER FAMILY MEMBER: 6 TOTAL LAND: 5 Bigha IRRIGATION SOURCE: Govt. Tubewell COWS: 0 ( 2 Buffaloes) CROPS: Maize, Wheat, Berseem INCOME: Rs 87000 annually
- 8. 5) NAME: TARA CHAND MAIN OCCUPATION: MASON FAMILY MEMBER: 5 TOTAL LAND: 1Bigha IRRIGATION SOURCE: Govt. tubewell COWS: 2 (1calf, 1cow) CROPS: Maize, Wheat INCOME: Rs 120000 anually
- 9. 6) NAME: BHAGIRATH RANA MAIN OCCUPATION: SHOPKEEPER FAMILY MEMBER: 6 TOTAL LAND: 7 Bigha IRRIGATION SOURCE: Govt. tubewell COWS: 1 cow, 1 milch CROPS: Rice, maize, wheat, berseem INCOME: Rs 2,160,000 annually
- 10. THANK YOU