Miracle-dz/UniFAR-FTUs huggingface dataset:
Economic analysis for residential solar PV systems with battery storage in PG&E territory

ii ACKNOWLEDGEMENTS . iv TABLE OF CONTENTS . v LIST OF TABLES . viii LIST OF FIGURES . x INTRODUCTION . 1 LITERATURE REVIEW . 4 Renewable energy goals . 4 The Duck Curve and Intermittency . 10 Net metering . 14 PG&E Tariffs . 21 ETOU-A: . 28 ETOU-B: . 30 Minimum bill charge . 31 Hybrid Inverters and Multi flow technology. 32 Financial incentives . 34 Investment Tax Credit (ITC). 34 Self-Generation Incentive Program (SGIP) . 36 DATA AND METHODS . 38 Solar Resource . 38 Consumption Data . 44
Security Enabled New Term Weight Measure Technique with Data Driven for Next Generation Mobile Computing Networks

In the field of ASIC and FPGA, Machine Learning (ML) techniques play a major role and become predominant for accurate results for different applications like big data analysis and automotive electronics, and driverless vehicles which are required speed and power savings. Due to increasing the demand for higher accuracy, low power, low area consumption, and higher throughput for the complexity of the designs in the latest technology, the proposed system is fulfilling these demands in ASIC and FPGA domains, reconfigurable hardware architecture has been proposed it consists of an ML-based Support Vector Machine (SVM), high-speed AHB protocol and Floating point (FP) operations and also the system has the flexibility to communicate with I2C and I2S protocols. In order to increase throughput with minimal latency, the proposed architecture with AHB protocol and AHB to APB bridge is incorporated between the fabric dynamically reconfigurable multi-processor (FDPM) and peripherals along with security algorithms using SHA-256bits and AES. In order to perform ML-based applications, the proposed system is incorporated double-precision floating point (DPFP) arithmetic operations. The overall proposed architecture is developed in Verilog HDL and quality checking using the LINT tool and Clock Domain Crossing (CDC) using Spyglass tool and synthesized using DC compiler for ASIC and Vivado Design Suite 2018.1 for FPGA implementation and verification. The entire design is interfaced with the Zynq processor and SDK tool to verify data transfer between hardware and software. The obtained results show the generated custom accelerator is able to compute any complex ML classifiers for a larger amount of data. The obtained results are compared with existing state-of-art results and found that 18 % improvement in throughput, a 21 % improvement in power consumption savings, and a 34 % reduction in latency.
The Influence of Selected Fillers on the Functional Properties of Polycarbonate Dedicated to 3D Printing Applications

Additive manufacturing is still the fastest-developing technology in the modern world. Three-dimensional printing has become popular due to the method’s numerous advantages, such as its short time and low cost, compared to conventional methods such as injection molding. Therefore, the demand for new materials and material systems that will be characterized by the desired functional properties is clearly growing. As part of this work, work was carried out on the development and preparation of new polymer composites dedicated to 3D printing applications, especially in FDM/FFF/MEM technologies. The influence of the content and amount of fillers, such as silica modified with alumina (S) and bentonite modified with a quaternary ammonium salt (B), on the functional properties of a commercially available fiber made of traditional plastic, such as polycarbonate, obtained in the form of a filament (PCF), was determined. It was found that the addition of B significantly increased the fluidity of the polymer, the introduction of a filler in the amount of 1.5% allowed to obtain a result that was 6% higher compared to PCF (16.8 g/10 min), while the amount of 3% was 20% higher. The obtained mass melt flow rate (MFR) results were confirmed by determining the viscosity of the produced polymer composites. Satisfactory results of mechanical properties were obtained, including the following: it was found that the introduced modified fillers increased the elasticity of the material. The introduction of modified silica resulted in a reduction in Young’s modulus by 10.02% at the content of 0.5% S and at 1% S by 8.64% compared to the polymer. The introduced modified filler S significantly increased the thermostability of polycarbonate (T5% equal to 449 °C) by 23 °C for PCF/0.5% S and 14 °C for PCF/1% S, respectively. The SEM and WAXS results confirmed the appropriate dispersion of the fillers in the polymer matrix, which indicates well-selected conditions for the homogenization process of the components and the subsequent production of samples. Detailed characterization of the influence of selected fillers on the functional properties of the polymer matrix-polycarbonate allowed for an increase in the range of polymer composites and their use in rapid prototyping technologies, as well as supplementing the literature on databases regarding the characteristics of the obtained materials.
H+/O+ Escape Rate Ratio in the Venus Magnetotail and its Dependence on the Solar Cycle

A fundamental question for the atmospheric evolution of Venus is how much water‐related material escapes from Venus to space. In this study, we calculate the nonthermal escape of H+ and O+ ions through the Venusian magnetotail and its dependence on the solar cycle. We separate 8 years of data obtained from the ion mass analyzer on Venus Express into solar minimum and maximum. The average escape of H+ decreased from 7.6 · 1024 (solar minimum) to 2.1 · 1024 s−1 (solar maximum), while a smaller decrease was found for O+: 2.9 · 1024 to 2.0 · 1024 s−1. As a result, the H+/O+ flux ratio decreases from 2.6 to 1.1. This implies that the escape of hydrogen and oxygen could have been below the stoichiometric ratio of water for Venus in its early history under the more active Sun.
Warming Effects of Spring Rainfall Increase Methane Emissions From Thawing Permafrost

Methane emissions regulate the near‐term global warming potential of permafrost thaw, particularly where loss of ice‐rich permafrost converts forest and tundra into wetlands. Northern latitudes are expected to get warmer and wetter, and while there is consensus that warming will increase thaw and methane emissions, effects of increased precipitation are uncertain. At a thawing wetland complex in Interior Alaska, we found that interactions between rain and deep soil temperatures controlled methane emissions. In rainy years, recharge from the watershed rapidly altered wetland soil temperatures, warming the top ~80 cm of soil in spring and summer and cooling it in autumn. When soils were warmed by spring rainfall, methane emissions increased by ~30%. The warm, deep soils early in the growing season likely supported both microbial and plant processes that enhanced emissions. Our study identifies an important and unconsidered role of rain in governing the radiative forcing of thawing permafrost landscapes.
Cainozoic evolution and hydrogeology of Lake Lewis Basin, Central Australia

Research in Lake Lewis basin in central Australia has investigated the geology, geomorphology and hydro geology of this intermontane Cainozoic basin that overlies the Proterozoic Arunta Craton. The evolution of the area from before Tertiary basin inception to the present-day has been examined. Observations of the structural architecture of the basin have been integrated with models for intracratonic basin evolution, involving reactivation of ancient basement faults. Prior to basin inception, the Palaeozoic and Mesozoic landscape was a highly irregular topography of steep bedrock ranges, valleys and inselbergs. Analysis of geophysical and sedimentological data has enabled reconstruction of the patterns of Tertiary infill within the 200 m deep basin. Lacustrine sedimentation dominated the Palaeogene, infilling a deep structural trough north of the MacDonnell Ranges. Subsequent sedimentation during the Neogene involved accumulation of thick alluvial fan deposits over the basal clay, with the lacustrine depocentre moved northward to the present site of Lake Lewis. A drying phase occurred towards the end of the Tertiary, when fluvial and lacustrine sediments were calcretised, then silicified. At least 80 m of lacustrine clay, the Anmatyerre Clay, accumulated in Lake Lewis in the Neogene-Pleistocene. This uniform clay was deposited in perennial lakewaters, infilling depressions in the heterogeneous basement topography. The Anmatyerre palaeolake was probably an overflow lake during most of its history, with westward outflow at 570 m AHD (Australian Height Datum). The catchment was evidently highly efficient in delivery of runoff from the mountains to the lake and no depositional breaks are apparent. This lake, at its maximum capacity, was up to 19 m deep and covered an area in excess of 3,000 km, over 12 times the size of the present playa. The BrunhesMatuyama palaeomagnetic polarity reversal (780 ka) is identified in the Anmatyerre Clay at 8 m depth beneath the playa surface. A major switch in sedimentation style followed the Anmatyerre lacustral phase, with hydrologic closure of the basin during more arid conditions. The Early Tilmouth beds were deposited in a <9 m deep lake, the Tilmouth palaeolake, that extended to the 560 m AHD level and covered an area of>l375 km , 5.5 times the size of the present playa.
Integrating Indigenous knowledge into environmental management in Nova Scotia

This literature review outlines the integration of Indigenous Knowledge (IK) into environmental management in Nova Scotia. While current Western environmental management practices are steeped in history, Western science, and anthropocentric perspectives toward nature, Indigenous ecological worldviews may provide an alternative method of managing the natural world, while also including First Nations in environmental decision-making. The potential benefits of IK have been recognized by policymakers and included in large-scale local and global policy, such as the UN Convention on Biological Diversity—an international Treaty with 168 signatories (Convention on Biological Diversity, n.d., n.p.; Turner, Ignace, & Ignace, 2000, p. 1275). Even so, there are challenges in merging two modes of thinking about the environment, including stereotypes and communication barriers. However, Nova Scotia has made great strides toward the inclusion of Indigenous perspectives, and Mi’kmaq perspectives specifically, through the creation of First Nations-governed environmental organizations such as the Unamak’ki Institute of Natural Resources and the Atlantic Policy Congress of First Nations Chiefs Secretariat, both of which have strong ties to the federal government (McGregor, 2016, p. 46-48; McMillan & Prosper, 2016, p. 640; UINR, 2016c, para. 3). Nevertheless, Indigenous involvement must continue to increase within the context of environmental problem-solving in Nova Scotia, especially regarding the status of eels, which may be dealt with through proposed amendments to the Fisheries Act (Fisheries and Oceans Canada, 2018, para. 4; Giles, Fanning, Denny, & Paul, 2016, 167-183; Species at Risk Public Registry, 2013, n.p.).
Decolourization of dye wastewater by microbial methods- A review

Waste water originating from textile processing and dyestuff manufacturing industries contain varying amounts of dyes, metals/metalloids, salts and organic pollutants out of which dyes are the visible toxic contaminants. Presence of dyes in water bodies causes several problems including decreased photosynthesis and higher BOD and COD load, apart from their displeasing appearance. Dyestuffs are organic molecules, which may be toxic or mutagenic. In the last few years, environmental legislation about the presence of colour in discharges, coupled with the increasing cost of water for the industrial sector, has made the treatment and reuse of dyeing wastewaters increasingly important to the industry. A variety of approaches are available for treatment, out of which the biological treatment is the genuinely ecofriendly and cost effective method. The decolourization efficiencies of different biological methods are discussed in this review along with the detailed discussion on bacterial treatment and their relative merits and drawbacks.
Phenotypic characterization and genetic diversity of the Khiew-Phalee chicken (Gallus gallus): A fighting cock originating from Uttaradit, Thailand

The Khiew-Phalee (KP) chicken is considered a valuable resource in Thailand, providing employment opportunities and income for populations in rural communities. This research study was conducted to examine the morphological and molecular diversity of the indigenous KP chicken breed in Uttaradit province, Thailand. Fifty-four chickens were randomly selected from three backyard farms (designated as KB, PP, and KS) in Uttaradit province, which serves as a sanctuary for this particular chicken variety. The morphological characters were detected by the numerical taxonomy system of the multivariate program. Thirteen subpopulations based on morphological characteristics were detected. A phenetic analysis revealed the existence of two main clades (A and B). The molecular characteristics of the KP chicken breed were examined by analyzing the D-loop region of their mitochondrial DNA (mtDNA). A total of 1,232 base pairs from the D-loop region were amplified, sequenced, and subjected to analysis. The findings from the sequencing analysis showed that there were 36 variable sites, including gaps, in the KP chicken breed when compared to a reference sequence (KP681581). Among the variable sites identified, it was observed that one nucleotide deletion and 35 nucleotide substitutions occurred in the KP chicken breed. The estimated haplotype diversity within the breed was determined to be 0.88120. Through a phylogenetic study utilizing a hypervariable region of the 1,232 base pairs D-loop, it was found that all KP chickens exhibited 14 distinct haplotypes, which were categorized into seven haplogroups (A, B, C, D, E, F, and G). This article presents for the 1 st time the genetic diversity using mtDNA D-loop sequencing information and morphological analysis of KP chickens. The results observed in our study represent genetic information that supports the registration of local breeds and also provides valuable insight into the maternal lineages of the population. Moreover, the study contributes to the conservation and breeding strategies aimed at preserving the indigenous chicken populations in Thailand.
Growth-site Quality Assessment of Nypa fruticans using Unmanned Aerial Vehicles Images: A case study in Kubu Raya Regency, West Kalimantan Province

The growth-site quality is one of the essential information needed to support sustainable forest management particularly in forestry planning. This paper describes the development of a site-quality class of Nypa vegetation by considering the biological and physical factors. The main objective of this study is to develop a discriminant model and to find out major factors that may be used to predict the quality of Nypa growth-sites. The model was developed using variables either measured on UAV images or from field measurement, namely soil texture (X 1 ), water salinity (X 2 ), water pH (X 3 ), crown closure (X 4 ) and stand density (N) measured on the UAV image (X 5 ). The study found that the site quality of Nypa could be indicated by the variation of its biomass content. Then, it was concluded that the major factors that affect the site quality are the soil texture (X 1 ), water salinity (X 2 ), and water pH (X 3 ) with 78.3% of overall accuracy.
Ice-flow reorganization within the East Antarctic Ice Sheet deep interior

Abstract Near the South Pole, a large subglacial lake exists beneath the East Antarctic Ice Sheet less than 10 km from where the bed temperature is inferred to be −9°C. A thermodynamic model was used to investigate the apparent contradiction of basal water existing in the vicinity of a cold bed. Model results indicate that South Pole Lake is freezing and that neither present-day geothermal flux nor ice flow is capable of producing the necessary heat to sustain basal water at this location. We hypothesize that the lake comprises relict water formed during a different configuration of ice dynamics when significant frictional heating from ice sliding was available. Additional modelling of assumed basal sliding shows frictional heating was capable of producing the necessary heat to fill South Pole Lake. Independent evidence of englacial structures measured by airborne radar revel ice-sheet flow was more dynamic in the past. Ice sliding is estimated to have ceased between 16.8 and 10.7 ka based on an ice chronology from a nearby borehole. These findings reveal major post-Last Glacial Maximum ice-dynamic change within the interior of East Antarctica, demonstrating that the present interior ice flow is different than that under full glacial conditions.
Towards Comprehensive and Flexible Coordination for Cooperative Processes: Software Architectures for Integrating Workflow, Hypermedia and Groupware Services

Efficient cooperation relies on good coordination. Individually, existing workflow, hypermedia, and groupware systems can only manage some types of dependency between activities. Furthermore, these systems provide either formal or informal mechanisms for coordination. We argue that comprehensive and flexible coordination support is needed to manage all types of dependency and to cover the whole spectrum of informal and formal coordination mechanisms. In this paper, possible architectures for integrating workflow, hypermedia and groupware services are analyzed. One promising approach to provide such integrated coordination support is to implement cooperative hypermedia upon a shared information space, and to integrate workflow semantics into cooperative hypermedia. A suitable architecture for such integrated coordination support is identified. A prototype system (CHIPS) based on the architecture is described.
Temporal changes in wind conditions at Svalbard for the years 1986–2015

ABSTRACT This paper presents trends in wind speed and wind direction indices at selected stations in Svalbard (Bjørnøya, Hopen and Ny-Ålesund) and in the NCEP/NCAR and ERA-Interim reanalysis for the period 1986–2015. The analysed wind indices include the sum of days (annual or seasonal) with the daily range wind speed or wind direction. Using the Mann-Kendall trend test, we look for temporal trends in these indices, compare the results for the measured and gridded datasets, and then analyse the spatial variability in those trends. For the stations, statistically significant decreasing trends are detected for the frequency of days with very low wind speed (≤2 m s−1) and for days with strong wind (>10 m s−1). From the reanalysis data, indices with wind speed of up to 5 m s−1 were characterized by decreasing trends, while indices with wind speed above the mentioned threshold show increasing trends. Wind direction indices are characterized by different tendencies in the Ny-Ålesund station, where local elements modify the dominant directions of the air mass advection. The trends vary in space for the given region. Reanalysis data show the biggest positive trend for the occurrence of northerly winds over the Greenland Sea and Arctic Ocean, which cannot be confirmed by measurements (no stations available). The trends in wind speed and direction indices may partly be explained by changes in the frequency of circulation patterns.
Ammonia in Rural and Remote Environments

Ammonia (NH3) can harm ecosystems through deposition and react in the atmosphere to increase fine particulate (PM2.5) levels which impact climate and degrade air quality. Despite an abundance of field studies and modelling efforts there are still large uncertainties regarding the sources, sinks, and transport of NH3. These uncertainties are magnified in rural and remote regions where measurements are sparse. The Ambient Ion Monitor – Ion Chromatograph (AIMIC) was deployed on three separate occasions to measure hourly averages of ambient NH3, SO2, and HNO3 as well as PM2.5 constituents (NH4 , SO4 , NO3 ). AIM-IC measurements at a rural field in Ontario, in conjunction with soil measurements, revealed that a non-fertilized grassland exhibits bi-directional soil-atmosphere NH3 exchange. A “morning spike” of NH3 was occasionally observed around 7:00 to 9:00 local time and was investigated in a subsequent study at a remote park in Colorado. Simultaneous observations of dew composition, dew amount and NH3 suggested that the frequently observed, yet currently unexplained, morning spike is caused by NH3 released from evaporating dew. The AIM-IC was operated aboard a research icebreaker throughout the Canadian Arctic Archipelago. NH3 ranged between 30-650 ng m -3 and was usually sufficient to fully neutralize SO4 . Low values of NH4 + in the Arctic Ocean and melt ponds revealed they were always a net NH3 sink. Decomposing seabird guano and wildfires were identified as the primary NH3 sources iii through the use of a chemical transport model (GEOS-Chem) and particle dispersion model (FLEXPART-WRF). Lastly, AIM-IC measurements from a campaign in the Athabasca Oil Sands Region showed that air masses that had recently passed over bitumen upgrading facilities were enriched in NH3, SO2, HNO3, NH4 + SO4 , and NO3 . Comparison of observed NH3 to that predicted by the Extended – Aerosol Inorganics Model (E-AIM) implies that the aerosol system was in disequilibrium in polluted airmasses.
PIPELINES AND THEIR COMPOSITIONS FOR MODELING AND ANALYSIS OF CONTROLLED ONLINE NETWORKED SOCIAL SCIENCE EXPERIMENTS

There has been significant growth in online social science experiments in order to understand behavior at-scale, with finer-grained data collection. Considerable work is required to perform data analytics for custom experiments. We also seek to perform repeated networked experiments and modeling in an iterative loop. In this work, we design and build four composable and extensible automated software pipelines for (1) data analytics; (2) model property inference; (3) model/simulation; and (4) results analysis and comparisons between experimental data and model predictions. To reason about experiments and models, we design a formal data model. Our data model is for scenarios where subjects can repeat actions (from
Brain-Computer Interfaces : Applying our Minds to Human-Computer Interaction

Recent advances in cognitive neuroscience and brain imaging technologies provide us with the unprecedented ability to interface directly with activity in the human brain. Beyond traditional neuroscience work, researchers have begun to explore brain imaging as a novel input mechanism. This work has largely been targeted at allowing users to bypass the need for motor movement and to directly control computers by explicitly manipulating their brain signals. In our work, we use brain imaging to passively sense and model the user’s state as they perform their tasks. In this workshop, we will discuss how we are using brain imaging to explore human cognition in the real world, to evaluate interface design, and to build interfaces that adapt based on user state. We will ground our discussions in user studies we have conducted to perform task classification while users perform various tasks. We will also provide lessons learned as well as a general methodology so that other HCI researchers can utilize these technologies in their work.
A prototype system for unconstrained face verication based on statistical learning

This paper discusses the video processing modules of a pro- totype face verication system. The main modules (face detection, reg- istration, and verication) are all based on a feature selection plus clas- sication pipeline that implements recently proposed statistical learning algorithms. All these modules are running on the prototype since January 2008, performing face verication in real time. Here we report quantita- tive results obtained both o-line, on a previously recorded dataset, and on-line, on the verication system.