Miracle-dz/UniFAR-FTUs huggingface dataset:
A space‐for‐time framework for forecasting the effects of ocean stratification on zooplankton vertical habitat use and trait composition

The effects of environmental change on zooplankton communities, and more broadly, pelagic ecosystems are difficult to predict due to the high diversity of ecological strategies and complex interspecific interactions within the zooplankton. Trait‐based approaches can define zooplankton functional groups with distinct responses to environmental change. Analyses across multiple mesozooplankton groups can help identify key organizing traits. Here, we use the pronounced cross‐shore environmental gradient within the California Current Ecosystem in a space‐for‐time substitution to test potential effects of ocean warming and increased stratification on zooplankton communities. Along a horizontal gradient in sea‐surface temperature, water column stratification, and light attenuation, we test whether there are changes in zooplankton species composition, trait composition, and vertical habitat use. We employ DNA metabarcoding at two loci (18S‐V4 and COI) and digital ZooScan imaging of zooplankton sampled in a Lagrangian manner. We find that vertical distributions of many mesozooplankton taxa shift to deeper depths in the cross‐shore direction, and light attenuation is the strongest predictor of magnitude of change. Vertical habitat shifts vary among functional groups, with changes in vertical distribution most pronounced among carnivorous taxa. Herbivorous taxa remain associated with the chlorophyll maximum, especially in clear offshore waters. Our results suggest that increased stratification of this ocean region will lead to deeper depths occupied by some components of epipelagic mesozooplankton communities, and may result in zooplankton communities with more specialized feeding strategies, increased egg brooding, and more asexual reproduction.
Distribution Line Bird's Nest Detection Based on Improved Lightweight YOLOv5

In order to reduce the risk to the power system from bird nests in distribution line towers, the power grids often use modern monitoring devices for real-time detection of bird's nests. However, traditional object detection models are typically difficult to implement on the mobile side and frequently involve big arithmetic cases. And some lightweight models have poor reliability and accuracy. Therefore, this paper proposes a Shuffle-BiFPN-YOLOv5 model, which lightens the original YOLOv5 object detection model and fuses more features to perform accurate and quick bird's nest detection tasks on mobile. Firstly, we replace the backbone network with ShuffleNet v2 to reduce the network parameters and prompt the operation speed. Next, add the BiFPN structure to the Neck layer to further combine and exploit the features; Finally, apply CIoU loss to anticipate the bounding box's regression. In this paper, the proposed network is trained by the collected distribution line bird's nest images, and ablation experiments with corresponding evaluation indexes are set up for comparative analysis. The experimental results show that the proposed model in this paper has good performance in terms of detection accuracy and speed. The Params and FLOPs of the model are 6.14M and 2.6G, which are 12.41% and 83.54% smaller than the original YOLOv5. The P, R, AP@0.5, and AP@0.5:0.95 are 96.9%, 97.3%, 97.5%, and 83.3%, and the final detection speed FPS is 31.74Hz, which can meet the task of detection in real time with high accuracy.
Microbial inoculants for drought stress tolerance

Temperature, rain, humidity, wind, and solar radiation are all climatic factors that affect agricultural activities. While some agricultural areas of the world are irrigated, the vast majority rely on natural rainfall patterns. Farmers will consume more water as a result of climate change and experience less water availability, resulting in a decrease in production capacity. As one of the most important natural phenomena affecting agricultural productivity, drought is a limiting environment for plant growth. Bacteria have been shown to reduce water stress in these plant species and promote greater growth by regulating gene expression and the integration of hormones. Phytohormones modulation, stress-induced enzymatic apparatus, and metabolites are integrated into the root-to-shoot phenotypic changes in growth rate, architecture, hydraulic conductivity, water conservation, plant cell protection, and damage restoration. By demonstrating how plant growth-promoting bacteria can mitigate plant stress and provide examples of technology conversion in agroecosystems, this review illustrates how water stress can be mitigated.
FUZZY SYSTEM AS FOUR-JOINT ROBOT MOVEMENT CONTROL FOR MOVING GOODS BASED ON TIME AND OBJECT COLOR

Technology Disruption has driven the acceleration of the industrial era 4.0 which is based on thespeed of data-based systems and artificial intelligence. Another impact is intelligent robots as asubstitute for human performance, because humans experience fatigue and decrease accuracywith increasing working time. Robots are an alternative whose presence cannot be avoided,therefore the robot's work system must be improved to optimize its speed and accuracy. One ofthe implementations of the robot is as a product moving machine from the initial coordinates (Pick)to the destination coordinates (Place). This study uses a four-joint robot (4 DOF) with a producttransfer mechanism that can be adjusted based on the input priority that has been set using theFuzzy Logic Control (FLC) method which is implemented using an Arduino Mega 2560microcontroller, and the robot used is Dobot Magician. There are 2 input variables used, namelythe mass of the object detected by the Weight sensor Load Cell + HX711 module and the colorof the object detected using the TCS3200 color sensor. The output variable is the movement ofthe robot to the Place which can be analyzed by calculating the position matrix using the Matlabprogram.
Polycaprolactone Composites/Blends and Their Applications Especially in Water Treatment

Biodegradable poly(ɛ-caprolactone) (PCL) and its composites or blends have received a lot of attention in the last decade because of their potential applications in human life and environmental remediation. Greater efforts have been made to develop biodegradable chemical materials as adsorbents that do not pollute the environment in order to replace traditional materials. Among the numerous types of degradable materials, PCL is currently the most promising, the most popular, and the best material to be developed, and it is referred to as a “green” eco-friendly material. Membranes and adsorbents for water treatment, packaging and compost bags, controlled drug carriers, and biomaterials for tissues such as bone, cartilage, ligament, skeletal muscle, skin, cardiovascular and nerve tissues are just some of the applications of this biodegradable polymer (PCL). The goal of this review is to present a brief overview of PCL, syntheses of PCL, its properties, PCL composites, and PCL blends and to provide a detailed investigation into the utility of PCL/PCL-based adsorbing agents in the removal of dyes/heavy metal ions. Overall, it can be confirmed that PCL blends and composites were found to be significant competitors to other well-known adsorbents in the treatment of wastewaters, necessitating a thorough investigation of their manufacture.
The Mediating Role of Work Meaning on the Influence of Organizational Support and Teacher Creativity

This research aims to determine and analyze the influence of organizational support on teacher creativity and the meaning of work as a mediating variable. This research was conducted at MI Mujahidin. This research is quantitative. Using an explanatory research approach with a survey approach. The questionnaire was prepared based on research variables: organizational support, teacher creativity and meaning of work. Research data was taken from 100 teachers who were the samples for this research. Data collection was carried out using random sampling techniques. Data analysis uses the Partial Least Square (PLS) approach using Smart PLS software. The results of hypothesis testing show that organizational support has a positive effect on teacher creativity. Institutional support can stimulate an increase in creative ideas for teachers. Organizational support has a positive impact on the meaning of work. Organizational support will increase the meaningfulness of performance. The meaning of work has a positive influence on teacher creativity. Educational institutions support teachers and stimulate creativity and innovation. The mediating meaning of work on the positive influence of organizational support on teacher creativity. Thanks to the support from all elements at school, teachers will feel more meaningful for themselves. Organizational support from the workplace, recognition and motivation make teachers further develop their creative ideas and think that their work is essential and brings meaning to their work.
Artificial Light for Improving Tomato Recovery Following Grafting: Transcriptome and Physiological Analyses

Grafting is widely used to enhance the phenotypic traits of tomatoes, alleviate biotic and abiotic stresses, and control soil-borne diseases of the scion in greenhouse production. There are many factors that affect the healing and acclimatization stages of seedlings after grafting. However, the role of light has rarely been studied. In this study, we compared the effects of artificial light and traditional shading (under shaded plastic-covered tunnels) on the recovery of grafted tomato seedlings. The results show that the grafted tomato seedlings recovered using artificial light had a higher healthy index, leaf chlorophyll content, shoot dry weight, and net photosynthetic rate (Pn) and water use efficiency (WUE) compared with grafted seedling recovered using the traditional shading method. Transcriptome analysis showed that the differentially expressed genes (DEGs) of grafted seedlings restored using artificial light were mainly enriched in the pathways corresponding to plant hormone signal transduction. In addition, we measured the endogenous hormone content of grafted tomato seedlings. The results show that the contents of salicylic acid (SA) and kinetin (Kin) were significantly increased, and the contents of indoleacetic acid (IAA) and jasmonic acid (JA) were decreased in artificial-light-restored grafted tomato seedlings compared with those under shading treatments. Therefore, we suggest that artificial light affects the morphogenesis and photosynthetic efficiency of grafted tomato seedlings, and it can improve the performance of tomato seedlings during grafting recovery by regulating endogenous hormone levels.
The Ecosystem Function of Biodiversity

This review is about the effects of biodiversity on ecosystem functions and services. It focuses on the following parts: 1.hypotheses about different roles of different species in the ecosystem and how biodiversity affects ecosystem functions; 2. relations between biodiversity and stability of ecosystem; 3. how the biodiversity affects production of ecosystem; 4.the relation between biodiversity and sustainability of the ecosystem. Several problems for further research are also pointed out.
Improving Growth and Tuberization of Potato During In vitro Multiplication and Rooting Stages via Nano Chitosan and Magnetized Water

: The experiment was carried out to study the effect of magnetized water (MW) and nano-chitosan on in vitro tuberization of potato cultivar, namely, Diamant. The experiment was conducted in tissue culture laboratory, of Strawberry and non-traditional crops center, faculty of Agriculture, Ain shams University. In multiplication and microtuberization stages, nodal cuttings from the second subculture were cultured on MS media with magnetized water (MW) and or o.4g/l of nano-chitosan. The results indicated that, magnetized water recorded the tallest plantlet and branches. Also it increased nods number per plantlet. On the other hand, control plants recorded the lowest values of plant height, number of branches and nods plantlet. The highest percentage of microtuberization was recorded with magnetized water. Medium treated with magnetized water produced significantly the highest number of microtubers/plantlet. Using magnetized water produced significantly the highest values of microtuber fresh weight.
TensorCache: Reconstructing Memory Architecture With SRAM-Based In-Cache Computing for Efficient Tensor Computations in GPGPUs

General purpose graphics processing units (GPGPUs) have emerged as a convincing and pivotal computing platform for deep learning applications. However, the fundamental tensor computations for neural networks on GPGPUs are still restricted by the von Neumann bottleneck. The memory bandwidth and energy consumption of moving a large amount of neural network data between the memory hierarchy and computational units of GPGPUs dominate the overall computational cost. To address these challenges, this article proposes TensorCache to reconstruct memory architecture with static random-access memory (SRAM)-based In-Cache Computing for efficient tensor computations in GPGPUs. It provides an innovative digital SRAM processing-in-memory (PIM) solution by transforming the cache array into large-scale PIM units, effectively mitigating the significant performance and energy consumption losses caused by data movement. To enable efficient hardware-software co-design for TensorCache, a decoupled architecture-based SRAM-PIM macro (SPM) is introduced at the hardware level, supporting in-memory bit-parallel comparison (IMBC) and near-memory radix-4 booth encoder (NRBE) for efficient mixed-precision floating-point (FP) tensor computations. At the software level, a programming model leveraging the GPGPU’s flexible programmability is proposed to bridge the gap between application demands and mismatched hardware/software interfaces. Experimental evaluations demonstrate that TensorCache achieves up to <inline-formula> <tex-math notation="LaTeX">$38.59\times $ </tex-math></inline-formula> speedup and <inline-formula> <tex-math notation="LaTeX">$16.26\times $ </tex-math></inline-formula> throughput enhancement compared to GPU CUDA Cores. Furthermore, it attains an acceleration of up to <inline-formula> <tex-math notation="LaTeX">$1.78\times $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$3.87\times $ </tex-math></inline-formula> throughput improvement compared to GPU Tensor Cores, while saving power consumption in tensor computations by over 90% with a mere 21% chip area overhead.
Delineating Lake Bottom Structure by TEM on Water Surface

Summary Recently the development of TEM (Transient Electromagnetic) provides higher resolution and greater exploration depth than ever before and it is time to consider whether this advanced TEM technique can be applied to under-water mapping. About 250 TEM soundings have been measured within a lake of about 120m by 60m in a muddy deposits environments in southern Taiwan. For the TEM measurements the terrTEM unit (Monex GeoScope) was used with an inloop configuration, for which the receiver spacing is about 5 m and the transmitter loop is about the same size as the lake. For imaging the vertical and horizontal resistivity distribution within the deposit and the surrounding area, all sounding results were interpreted using a smooth inverse procedure. Some auger drilling and sounding were available for correlation. This led to a final model. Underneath the water bottom is mud/shale inter-bed with a depth greater than 50 m and resistivity ranging from 1 to 5 ohm-m. The depth of the clayey layer predicted by TEM data is comparable to that of drilled wells nearby, and the thick mud to the southeast suggests the lake dipping to the southeast. The success of the method depends upon the appropriate design of survey parameters; this new application is open to further refinement, both in instruments and in survey techniques.
P-wave Anisotropy In Shales From Crosswell Data

A crosswell dataset, collected at Conoco’ s Borehole Test Facility in Oklahoma, was first processed using a tomography algorithm based on an isotropic velocity model. The resulting 2-D velocity tomogram was found to have huge artifacts believed to be caused by nonuniform ray coverage and possibly anisotropy. A comparison of the zero offset crosswell velocities (Horizontal Path Log) with the log-derived sonic velocities (Vertical Path Log) indicated nearly 25% P-wave anisotropy in some formations. Despite the artifacts, a good interpretation of the 2-D isotropic tomogram was made with the help of synthetic data. The data were then inverted using an algorithm that incorporates a model of elliptical transverse isotropy. This anisotropy model produced an unambiguous image for two components of velocity that simultaneously match the sonic log and the crosswell data. Both inversions support a final interpretation of 1-D vertical stratification of layers, some of which exhibit significant P-wave anisotropy. This interpretation is consistent with the sonic logs, crosswell data, and available geological information.
The Relationship between Complete Vehicle and Components in Narrowband Radiation Emission Limits in the Standard of ECE R10

The narrowband radiated emission limit curve of the vehicle has changed significantly in the sixth revision of ECER 10. In this article, the emission value of electromagnetic waves at different distances in different frequency bands is measured. Meanwhile, the correspondence between the narrowband radiation emission limits of the whole vehicle and the components is explored. Finally, the correspondence between the far field and near field applicable to narrowband radiation emission of components in automotive inspection engineering is proposed.
FIACCEL: Memory Efficient Frame Interpolation Accelerator for Full-HD Video

Frame interpolation (FI) is a challenging task that involves generating intermediate frames between two consecutive frames of a video to achieve smooth motion. Although several approaches, including deep learning-based and hybrid methods, have been proposed, most target GPU systems with high computational costs, making it difficult for real-time on-device systems. This brief proposes a memory-efficient and low-complexity accelerator for FI by analyzing the most memory-inefficient part of the encoder-decoder structure and applying schemes such as feature map reuse, selective transfer to DRAM, row-wise layer fusion, kernel decomposition, and parallelized horizontally dilated convolutions. The proposed hardware is verified on an FPGA environment and can synthesize $1920\times 1080$ video from 90 fps to 180 fps in real-time with an average PSNR quality of 31.98 dB on the Vimeo90K dataset. Our design is available at https://github.com/Miinuuu/FIACCEL.
Crystal Storage and Transfer in Basaltic Systems: the Skuggafjöll Eruption, Iceland

Magma mixing and crystal mush disaggregation are important processes in basaltic magma reservoirs. We carried out a detailed petrological and geochemical study on a highly plagioclase-phyric eruption within the Eastern Volcanic Zone of Iceland—the Skuggafjoll eruption—to investigate crystal storage and transport processes within a single magmatic system. Crystal content and phase proportions vary between samples: the least phyric samples have phase proportions similar to the low-pressure, three-phase gabbro eutectic (plg:cpx:ol \~ 11:6:3), whereas highly phyric samples are strongly enriched in plagioclase (plg:cpx:ol \~ 8:1:1). Statistically significant geochemical variability in 28 whole-rock samples collected across the eruption can be accounted for by variable accumulation of a troctolitic assemblage containing plagioclase and olivine in an approximately 9:1 ratio. Two macrocryst assemblages are defined using compositional and textural information recorded in QEMSCAN® images: a primitive assemblage of high-anorthite plagioclase (An\textgreater83) and high-forsterite olivine (Fo\textgreater84), and an evolved assemblage of low-anorthite plagioclase (An\textless79), low-forsterite olivine (Fo\textless82) and clinopyroxene (Mg# \~ 82). Plagioclase and olivine have strongly bimodal composition distributions whereas the composition distribution of clinopyroxene is unimodal. The mean trace element composition of melt inclusions hosted within high-forsterite olivine and high-anorthite plagioclase macrocrysts is the same (mean Ce/Y \~ 0·47–0·48), confirming that both primitive macrocryst phases crystallized from the same distribution of melts. Clinopyroxene macrocrysts and matrix glasses are in Ce/Yb equilibrium with each other, indicating that the evolved assemblage crystallized from melts with a more incompatible trace element-enriched composition (mean Ce/Y \~ 0·65–71) than the primitive assemblage. Variability in whole-rock, macrocryst and melt inclusion compositions suggests that the Skuggafjoll magma experienced two stages of crystallization. Primitive macrocrysts crystallized first from incompatible trace element-depleted melts within a shallow crustal magma reservoir. These primitive macrocrysts were subsequently stored in crystal mushes that ultimately disaggregated into an evolved and incompatible trace element-enriched magma from which the evolved assemblage crystallized. On average, \~17% of the erupted magma at Skuggafjoll is composed of accumulated macrocrysts entrained from crystal mushes. The timescale between mush disaggregation and eruption, during which crystal accumulation occurred, was short—of the order of years—according to simple diffusion calculations. Striking petrological similarities between Skuggafjoll and other highly phyric eruptions both in Iceland and along mid-ocean ridges indicate that crystal accumulation by mush disaggregation is likely to be an important mechanism for generating highly phyric magmas in basaltic plumbing sy
Formulation of Nano-fertilizer and Phytochemical Screening of orange peel were utilized to enhance the growth of Vigna radiata

Nanotechnology has developed into one of the most valued fields of sciences in the current century owing to the introduction of revolutionary changes in several disciplines of sciences. A key product of nanotechnology, i.e., nanoparticles (NPs) are abundantly used in modern research due to their novel applications. Orange peel contains vital nutrients that can be recycled into valuable material used for different purposes. In this study, we synthesized nano fertilizer from orange peel and tested its potential for promoting the growth of Vigna radiata and reducing the population of root rot pathogens. Nano-fertilizer extract was subjected to physical and chemical analyses for characterization. Transmission electron microscopy indicated spherical nanoparticles with sizes ranging between 18.22nm and 61.05nm. While the X-Ray diffraction analysis the peaks were observed at 2ɵ value of 19.830, 20.550, 21.240, 24.440, 27.330 and 29.770 which represented the similarity with urea slandered peak. The Synthesized nano-fertilizers contained phenols, steroids, triterpenes and xanthoproteins. In a screen house experiment, the nano fertilizer extract was administered to the seeds of Vigna radiata. The research demonstrated that increasing the dose of orange peel extract enhanced germination percentage by positively influencing plant growth characteristics. Meanwhile, a high concentration of orange peel amendment successfully reduced the colonization and infection percentage of root rotting pathogens when compared to the positive and negative controls.