Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of site specific nitrogen management on growth, yield attributes and yield of kharif rice ( Oryza sativa L.) in rice-groundnut cropping system in Odisha

A field experiment was carried out during kharif seasons of 2020-21 and 2021-22 at Agronomy Main Research Farm, Odisha University of Agriculture and Technology, Bhubaneswar. The experiment was laid out in split plot design with six main plot treatments i.e. Soil test based nitrogen (100 kg N/ha), 75% N through soil test based nitrogen (STBN) + 25% N through FYM, 75% N through STBN + 25% N through vermicompost, N @ 20kg at basal and at LCC < 3, N @ 20kg at basal and at SPAD < 35 and no nitrogen to rice during kharif and three sub plot treatments i.e. lime @ 0.2 LR, gypsum @ 250 kg/ha and lime @ 0.2 LR + gypsum @ 250 kg/ha to groundnut during rabi each in three replications. Recommended doses of P 2 O 5 and K 2 O @ 40 kg/ha each to rice and N-P 2 O 5 - K 2 O @ 20-40-40 kg/ha were applied to groundnut. The results revealed that application of 75% N through STBN + 25% N through vermicompost recorded maximum height (117.0 cm) and number of ear bearing tillers/m 2 (271.5) at harvest followed by 75% N through STBN+ 25% N through FYM. Application of 75% N through STBN + 25% N through vermicompost recorded maximum dry matter accumulation (971.0 g/ m 2 ) at harvest which was at par with 75% N through STBN+ 25% N through FYM (960.0 g/ m 2 ) followed by LCC based treatment being at par with STBN. Maximum number of grains (121.6) and filled grains/panicle (108.7) in rice were recorded with 75% STBN + 25% N through vermicompost being at par with 75% STBN + 25% N through FYM and LCC based treatments respectively. Similarly, grain yield (5128 kg/ha), straw yield (5707 kg/ha) and harvest index (47.31%) of rice were found maximum in the treatment 75% STBN+ 25% N through vermicompost found at par with 75% STBN + 25% N through FYM followed by LCC based treatment being at par with the STBN and SPAD based nitrogen management treatments respectively.
Characterizing radio emission from extensive air showers with the SLAC-T510 experiment, with applications to ANITA

Neutrino and cosmic ray astronomy allow scientists to gather information about the highest energy processes in the universe. However, since cosmic rays are charged nuclei moving in astrophysical magnetic fields, it has not been possible to determine their sources by studying their arrival directions. A pointed neutrino flux is expected at such energies, either direct from the sources or due to the GZK process, where high energy cosmic rays interact with cosmic microwave photons as they travel through the universe. Detection methods make use of particle cascades initiated by these high energy primaries. In particular, the electromagnetic radiation in radio frequencies generated by particle cascades is a powerful tool. Particle cascades emit radiation by the Askaryan process, where a charge excess in the cascade emits coherently. In the presence of a magnetic field, a transverse current develops which also emits coherently in the radio regime. Theoretical models describe this radiation and are widely used to reconstruct the energy, geometry, and composition of observed events. Therefore, understanding and validating models describing this radiation is of great importance to neutrino and cosmic ray astronomy. The SLAC T-510 beam test is the first experiment to produce a particle cascade in a controlled setting in the presence of a magnetic field. Radio-frequency (RF) emission is collected in the region of the Cherenkov cone in two polarizations designed to separately capture Askaryan and magnetically induced radiation. Field intensity, linearity with magnetic field, and spectral content are compared to particle-level simulations. The data provide experimental evidence supporting theoretical models, and show the first laboratory results of the scaling of the radiative strength with the magnetic field.
Morphological and reproductive phenology of Cystoseira foeniculacea f. tenuiramosa (Phaeophyceae, Fucales) from the lagoon of Strunjan (Gulf of Trieste, northern Adriatic)

: The results of a study on morphological features and reproductive phenology of the brown alga Cystoseira foeniculacea f. tenuiramosa (Ercegovi ć ) A. Gómez Garreta, M.C. Barceló, M.A. Ribera & J. Rull Lluch from the marine lagoon of Strunjan (Gulf of Trieste), are reported. Based on monthly samplings carried out during one year period, it was observed that this species shows considerable seasonal morphological variations. The Strunjan marine lagoon appears to be the only location of the Slovenian coast where population of this taxon occur. Based on the high associated biodiversity, we propose the inclusion of this population in the conservation management plans in the area.
Fertilizer responsiveness of short duration improved finger millet genotypes to different levels of NPK fertilizers

A field experiment was carried out at Agricultural Research Station, Vizianagaram, during Kharif, 2016 under rainfed conditions to know the fertilizer responsiveness of promising finger millet varieties to graded doses of NPK fertilizers. Twenty treatment combinations were tested in split- plot design with three replications. Experimental results revealed that with 125% RDF grain yield increase was 10%, 27% and 48% higher than 100% RDF, 75% RDF and 50% RDF respectively. Among the finger millet genotypes, grain yield of VL-379(2037 kg/ha) and VL-352(1989 kg/ha) was significantly high and was at par with national check variety VR-708(1959 kg/ha). Both the test varieties (VL-379 and VL-352) were far superior to local check variety in terms of growth and yield characteristics. Higher net monetary returns and B:C ratio were obtained with VL-379, followed by VR-708 and VL-352 at 125% RDF.
Analysis of atmospheric particle growth based on vapor concentrations measured at the high-altitude GAW station Chacaltaya in the Bolivian Andes

Abstract. Early growth of atmospheric particles is essential for their survival and ability to participate in cloud formation. Many different atmospheric vapors contribute to the growth, but even the main contributors still remain poorly identified in many environments, such as high-altitude sites. Based on measured organic vapor and sulfuric acid concentrations under ambient conditions, particle growth during new particle formation events was simulated and compared with the measured particle size distribution at the Chacaltaya Global Atmosphere Watch station in Bolivia (5240 m a.s.l.) during April and May 2018, as a part of the SALTENA (Southern Hemisphere high-ALTitude Experiment on particle Nucleation and growth) campaign. Despite the challenging topography and ambient conditions around the station, the simple particle growth model used in the study was able to show that the detected vapors were sufficient to explain the observed particle growth, although some discrepancies were found between modeled and measured particle growth rates. This study, one of the first of such studies conducted on high altitude, gives insight on the key factors affecting the particle growth on the site and helps to improve the understanding of important factors on high-altitude sites and the atmosphere in general. Low-volatility organic compounds originating from multiple surrounding sources such as the Amazonia and La Paz metropolitan area were found to be the main contributor to the particle growth, covering on average 65 % of the simulated particle mass in particles with a diameter of 30 nm. In addition, sulfuric acid made a major contribution to the particle growth, covering at maximum 37 % of the simulated particle mass in 30 nm particles during periods when volcanic activity was detected on the area, compared to around 1 % contribution on days without volcanic activity. This suggests that volcanic emissions can greatly enhance the particle growth.
Paleoproterozoic tectonics of the northern Colorado Rocky Mountains Front Range, USA

Two models have been proposed to explain continental crust generation in accre-tionary orogens. One model suggests that accretionary orogens are formed by the successive collision of juvenile arcs. The second model invokes tectonic switching, which is the repeated cycles of slab rollback and extensional backarc basin formation followed by basin collapse caused by collision, shallow subduction, and/or increased convergence rate. The northern Colorado Front Range, specifically in and around the Big Thompson, Rist
Development of Components for Implementation of Free Fall Experiments to Test the Weak Equivalence Principle

In this work I describe the development of an electrostatic positioning system (EPS) for improving the starting conditions of the test masses in a free fall experiment to test the weak equivalence principle. The equivalence of intertial and gravitational mass is one of the fundamental principles in physics. One version of this principle is the weak equivalence principle (WEP), also known as Universality of Free Fall (UFF). It says, a test mass with neglectible self gravitation behaves independently of its properties in a gravitational field. In the recent centuries, the WEP has been investigated by using different methods. My literature recherche shows, that surprisingly few free fall experiments using macroscopic test masses have been performed. And their results have not reached the accuracy of other methods jet. At the drop tower Bremen, a free fall experiment using high precision, Supraconducting Quantum Interference Device (SQUID) sensors was developed. In 2001 it tested the WEP by measuring the difference between the accelerations of two test masses falling freely with an accuracy up to η < 10−7. By improving the different components of the Experiment and especially the starting conditions of the test masses, an improvement in the accuracy of several orders should be possible. The center of mass of the test masses should be positioned in the same place within 0. 3μm und their velocities should be minimized to 0.1m/s. Therefore, a electrostatic positioning system (EPS) in axial direction was developed und the first results of the characterisation of the protoptype are presented in this work. The experimental set-up and the controller are described in detail. Characteristic parameters of the system are defined and the experiments to determine them are described. By using a high precision weighing balance, the force exerted on the test mass by the EPS was measured. This results help to modell the system. Measurements of different positionings of the test mass were used to determine the position resolution of the EPS and other characteristic parameters. A suprising result of these measurements is the EPS can be used with and without the wire connected to the test mass for electrically grounding it. The parameters of the controller had not been changed between both measurements and only the scaling factor to convert the voltage signals into position signals changes slightly. The results of the characterisation provide new aspects for simplifing and improving the axial EPS and developing an radial EPS in the future. The combination of both EPS will improve the starting conditions of the test masses and therefore the conditions for the SQUID sensors significantly. This will be a main step in improving the accuracy of free fall test of the WEP up to η < 10−13.
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens

Recent action recognition models have achieved impressive results by integrating objects, their locations and interactions. However, obtaining dense structured annotations for each frame is tedious and time-consuming, making these methods expensive to train and less scalable. At the same time, if a small set of annotated images is available, either within or outside the domain of interest, how could we leverage these for a video downstream task? We propose a learning framework StructureViT (SViT for short), which demonstrates how utilizing the structure of a small number of images only available during training can improve a video model. SViT relies on two key insights. First, as both images and videos contain structured information, we enrich a transformer model with a set of \emph{object tokens} that can be used across images and videos. Second, the scene representations of individual frames in video should"align"with those of still images. This is achieved via a \emph{Frame-Clip Consistency} loss, which ensures the flow of structured information between images and videos. We explore a particular instantiation of scene structure, namely a \emph{Hand-Object Graph}, consisting of hands and objects with their locations as nodes, and physical relations of contact/no-contact as edges. SViT shows strong performance improvements on multiple video understanding tasks and datasets. Furthermore, it won in the Ego4D CVPR'22 Object State Localization challenge. For code and pretrained models, visit the project page at \url{https://eladb3.github. io/SViT/}
Rumination and Insomnia in Chinese Adolescents with Mood Disorders: The Mediating Role of Anxiety

Dianying Liu The Third People's Hospital of Ganzhou City Gang Lei Xi’an Jiaotong University Health Science Center Lijuan Qiu The Third People's Hospital of Ganzhou City Hongdong Deng The Third People's Hospital of Ganzhou City Shaohua Liu The Third People's Hospital of Ganzhou City Yonghui Dang Xi’an Jiaotong University Health Science Center Xiang-Yang Zhang (  zhangxy@psych.ac.cn ) The Third People's Hospital of Ganzhou City
Managing Platform Business Growth: A Case Study of TikTok

Purpose This case study provides knowledge of the management of a multi-sided platform, by showing the ways that TikTok has been employing to increase its user growth and business value. Design This study is grounded on a critical realism perspective and adopts a qualitative case study approach. Evidence is primarily grounded on TikTok’s press release from 2018 to the first quarter of 2020, and secondary sources such as the interviews of the former President of TikTok on his insights into the management of a multi-sided platform, TikTok global user download numbers by Quarter, and archival analysis reports of TikTok’s growth. Findings A set of strategies have been obtained in TikTok’s management of the platform. Firstly, it is found that TikTok largely utilised three ways to grow its user numbers, including developing necessary product features to satisfy users preferences, creating a unique marketing campaign based on a killer feature, hashtag challenge, and growing social media celebrities on the platform. Moreover, TikTok is able to sustain its growth by engaging users into the platform evolution process, such as listening to their ideas and feedback, and improving the user experience accordingly. Additionally, TikTok’s collaboration with external business partners enabled the platform to gain monetary return and promote its brand identity further. Last but not least, with the aid of artificial intelligence technology, TikTok is capable of facilitate user interactions to keep users active on the platform and thus draw more traction. Value Many research has been discussing platform business in the areas of its definition, formation, and strategies. However, few case studies have been conducted to investigate the dynamics of operating a platform business. Apart from that, even though TikTok has experienced exponential user number growth in the past years, the studies around that is insufficient. Therefore, by doing a single case study of TikTok, and looking into the strategies it has been implementing to drive its growth, this paper can give new insights of the management of a platform business in reality.
Study of Data Structures for Ray Tracing Acceleration

In English) In computer graphics, we use specic data structures to accelerate the search of intersections between rays and the 3D models that make up scenes (Ray tracing). Over the years, numerous techniques have been developed to accelerate both the computation of ray casts, but also the build times of the acceleration structure itself, a factor that becomes important in real-time applications. In this thesis, we will discuss the theory behind such structures and explore the consequent prior work on the topic. Beyond merely doing a comparative study, we will provide insight into the performance factors behind the real-world performance of such structures. Résumé (En Français) Dans le domaine de l’imagerie par ordinateur, on utilise des structures de données spéciques pour accélérer la recherche d’intersections entre des rayons et les modèles 3D d’une scène (Lancer de rayon). De nombreux eorts ont étés consacrés pour développer les structures plus optimales possibles, maximisant non seulement la vitesse de calcul des lancers de rayon, mais aussi minimisant les coûts de construction des structures elle-mêmes, un facteur important lorsqu’on est dans une application interactive. Dans ce mémoire, nous explorerons la théorie de ces structures et nous étudieront la liérature disponible sur le sujet. Au delà d’un simple comparatif de performances, nous fourniront une analyse en profondeur des facteurs derrière l’ecacité de telles structures. RUE GRANDGAGNAGE, 21 l B-5000 NAMUR(BELGIUM)
SIT Digital Collections SIT Digital Collections

: Canopy arthropods communities represent a disproportionate amount of global species richness (Stuntz 2001). Understanding arthropod composition and connectivity of lower epiphyte communities is important in understanding how canopy arthropods communities are formed and will respond to change (Floren and Linsenmair 1998). As such this study examined arthropod assemblages living within nonvascular epiphyte communities (epiphyte mats) living directly upon lower trunk regions of 24 trees in a tropical montane rain forest within the Santa Lucia Nature Reserve in Pichincha, Ecuador. Trees were assessed for size, epiphyte diversity, and epiphyte coverage before arthropod sampling within the epiphyte mats. Soil assessments were taken as well to compare community structure at the zone of intersection between the two habitats. No direct correlation was found between size, epiphyte diversity, or coverage on the diversity of arthropods within the mats, however this meant that population density and species richness density was very strongly negatively correlated with surface area. Arthropod communities differed significantly between soil samples and epiphyte samples, including in morphospecies present and proportional composition of arthropod orders.
Two decades of endemic dengue in Bangladesh (2000–2022): trends, seasonality, and impact of temperature and rainfall patterns on transmission dynamics

Background: The objectives of this study were to compare the dengue virus (DENV) infection, deaths, case-fatality ratio, as well as meteorological parameters between the first and the recent decade (2000-2010 vs. 2011-2022) and to understand the trends, seasonality, and impact of change of temperature and rainfall pattern on transmission dynamics of Dengue in Bangladesh. Methods: For the period 2000-2022, dengue cases and death data from Bangladesh's Ministry of Health and Family Welfare's website, and meteorological data from the Bangladesh Meteorological Department were analyzed. Mann-Kendall and Sen's slop tests were used for trends and variations and fitted a time series Poisson regression model to identify the impact of meteorological parameters on the incidence of dengue cases. A forecast of dengue cases was performed using an autoregressive integrated moving average model. Results: Over the past 22 years, a total of 244,246 dengue cases were reported including 849 deaths (Case fatality ratio [CFR] =0.34%). The mean annual number of dengue cases increased eight-fold during the second decade, with 2216 cases during 2000-2011 vs. 18,321 during 2012-2022. The mean annual deaths have doubled (21 vs. 46) although the overall CFR had decreased to one-third (0.69 vs 0.24). Between the periods, the annual temperature increased by 0.49 degree C, and rainfall decreased by 314 mm despite increasing unusual rainfall in the pre-and-post monsoon period. An increasing trend of dengue cases is observed with a much stiffer rise after 2018. Monthly mean temperature (Incidence risk ratio [IRR]: 1.26), first-lagged rainfall (IRR: 1.08), and second-lagged rainfall (IRR: 1.17) were significantly associated with monthly dengue incidence. Conclusions: The increased local temperature and unusual rainfall might have contributed to the increased incidence of DENV infection in Bangladesh. Community engagement, vector control, and destruction of mosquito habitats are key to controlling dengue.
Identification of predictive patient characteristics for assessing the probability of COVID-19 in-hospital mortality

As the world emerges from the COVID-19 pandemic, there is an urgent need to understand patient factors that may be used to predict the occurrence of severe cases and patient mortality. Approximately 20% of SARS-CoV-2 infections lead to acute respiratory distress syndrome caused by the harmful actions of inflammatory mediators. Patients with severe COVID-19 are often afflicted with neurologic symptoms, and individuals with pre-existing neurodegenerative disease have an increased risk of severe COVID-19. Although collectively, these observations point to a bidirectional relationship between severe COVID-19 and neurologic disorders, little is known about the underlying mechanisms. Here, we analyzed the electronic health records of 471 patients with severe COVID-19 to identify clinical characteristics most predictive of mortality. Feature discovery was conducted by training a regularized logistic regression classifier that serves as a machine-learning model with an embedded feature selection capability. SHAP analysis using the trained classifier revealed that a small ensemble of readily observable clinical features, including characteristics associated with cognitive impairment, could predict in-hospital mortality with an accuracy greater than 0.85 (expressed as the area under the ROC curve of the classifier). These findings have important implications for the prioritization of clinical measures used to identify patients with COVID-19 (and, potentially, other forms of acute respiratory distress syndrome) having an elevated risk of death.
The optic radiations and reading development: a longitudinal study of children born term and preterm

Purpose: To determine if development of single-word reading between ages 6 and 8 years was related to change in a microstructural property of the optic radiations (OR), white matter circuits that are not typically associated with language or reading and if the patterns of association were similar in children born full term (FT) and preterm (PT). Methods: FT (n=34) and PT (n=34) were assessed using the Woodcock Reading Mastery Test at 6, 7, and 8. Word Identification raw score was the outcome measure. Diffusion MRI was acquired at 6 and 8 years using a 96-direction scan (b=2500 sec/mm2). Probabilistic tractography identified left and right OR. We used linear mixed models to determine if change in fractional anisotropy (FA) averaged across the left and right OR was associated with growth in reading. Results: The rate of reading growth was similar in both groups. FA of the OR was higher in children born FT than PT at age 8. Change in FA of the OR from age 6 to 8 was negatively associated growth in reading across both birth groups. Conclusion: Individual differences in the rate of development in reading skills was associated with individual differences in the change in FA of the visual pathways in both children born FT and PT. Decreasing FA implicates increasing axonal diameter and/or complexity in fiber structure as the drivers of faster reading development.